{
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    "# Cryogenic dielectric metasurface-integrated superconducting nanowire single-photon detectors\n",
    "\n",
    "**Author:** Amir Targholizadeh\n",
    "**Affiliation:** QUTECH Lab (Prof. Pankaj K. Jha), Department of Electrical Engineering and Computer Science, Syracuse University\n",
    "**Reference:** A. Targholizadeh, A. Nikulin, and P. K. Jha, *\"Cryogenic Dielectric Metasurface-Integrated Superconducting Nanowire Single-Photon Detectors,\"* arXiv:2512.17115 (2025).\n",
    "\n",
    "---\n",
    "\n",
    "## Abstract\n",
    "\n",
    "Superconducting nanowire single-photon detectors (SNSPDs) are the leading photon-counting technology for quantum optics, quantum communication, and lidar. However, their performance is constrained by a fundamental tradeoff: small detection areas yield low timing jitter but couple poorly to a free-space beam, while large detection areas couple well but suffer from kinetic-inductance-limited timing jitter.\n",
    "\n",
    "This notebook reproduces the FDTD design and analysis of a **cryogenic silicon metasurface** placed in front of a small NbTiN meander to overcome that tradeoff. We cover two complementary devices:\n",
    "\n",
    "1. **Focusing metalens** — concentrates a 60 × 60 µm² collection aperture down to a 5 × 5 µm² nanowire footprint. We sweep numerical aperture (NA) and report transmission, coupling efficiency, absorption efficiency, and the resulting system-detection-efficiency (SDE) **enhancement factor**.\n",
    "2. **Polarization beam splitter (PBS) metasurface** — uses anisotropic (rectangular) meta-atoms to focus orthogonal linear polarizations onto two spatially separated meanders. We sweep the focal-spot half-separation `d` and report intended/unintended absorption and the resulting polarization **cross-talk** in dB.\n",
    "\n",
    "Both designs use eight 45° phase bins of pre-optimized dielectric meta-atoms on a thin SiO₂ substrate, with the entire detector enclosed in a quarter-wave cavity bounded above by a PEC mirror. All simulations run with `tidy3d.web.run`. **Note: running the full notebook end-to-end consumes FlexCredits** — each NA sweep launches thirteen 3D FDTD jobs (one per NA value, plus a third optional focal-finder sweep), and the PBS sweep launches twelve more (six separations × two polarizations).\n",
    "\n",
    "<img src=\"img/SuperconductingNanowire.png\" width=\"500\" alt=\"Schematic\">"
   ]
  },
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   "source": [
    "## 1. Setup\n",
    "\n",
    "We start with the standard Python and Tidy3D imports, plus a few configuration globals used throughout the notebook.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "eaeb02fc5718",
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   "outputs": [],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import xarray as xr\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.patches import Circle\n",
    "from matplotlib.collections import PatchCollection\n",
    "from mpl_toolkits.axes_grid1 import make_axes_locatable\n",
    "\n",
    "import tidy3d as td\n",
    "import tidy3d.web as web\n",
    "\n",
    "# Output directories\n",
    "DATA_DIR = \"data\"\n",
    "FIG_DIR  = \"figs\"\n",
    "os.makedirs(DATA_DIR, exist_ok=True)\n",
    "os.makedirs(FIG_DIR,  exist_ok=True)\n",
    "\n",
    "# Publication-style matplotlib defaults\n",
    "mpl.rcParams.update({\n",
    "    \"font.family\":       \"DejaVu Sans\",\n",
    "    \"font.size\":          12,\n",
    "    \"axes.labelsize\":     13,\n",
    "    \"axes.titlesize\":     14,\n",
    "    \"xtick.labelsize\":    11,\n",
    "    \"ytick.labelsize\":    11,\n",
    "    \"legend.fontsize\":    11,\n",
    "    \"figure.dpi\":        120,\n",
    "    \"savefig.dpi\":       300,\n",
    "    \"savefig.bbox\":      \"tight\",\n",
    "    \"axes.linewidth\":    1.0,\n",
    "    \"xtick.major.width\": 1.0,\n",
    "    \"ytick.major.width\": 1.0,\n",
    "})\n"
   ]
  },
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   "id": "68ad3a789698",
   "metadata": {},
   "source": [
    "### 1.1 Common Physical Parameters\n",
    "\n",
    "The metalens is patterned on a thin SiO₂ membrane and made of amorphous silicon meta-atoms designed for **λ = 1.55 µm**. Refractive-index values are chosen for cryogenic operation (≈ 4 K), which slightly shifts the optical constants compared with room temperature.\n",
    "\n",
    "The NbTiN nanowire is modeled as a lossy dielectric with a fitted permittivity and a finite electrical conductivity σ — this lets us extract the absorbed power directly as\n",
    "\n",
    "$$\n",
    "P_\\mathrm{abs} \\;=\\; \\tfrac{1}{2}\\,\\sigma \\int_V |E|^2 \\, dV\n",
    "$$\n",
    "\n",
    "integrated over the nanowire volume, given a Tidy3D source normalized to 1 W input.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "34ebeb817a06",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wavelength       λ = 1.55 µm  (f₀ = 1.934e+14 Hz)\n",
      "Metalens         L = 60.0 µm,  cylinder height = 0.85 µm\n",
      "Nanowire meander: 26 strands of 5.0 µm × 100 nm × 8.0 nm\n",
      "NbTiN model:      ε' = 2.8175,  σ = 0.8898\n"
     ]
    }
   ],
   "source": [
    "# --- Wavelength and frequency ---\n",
    "LDA = 1.55                        # design wavelength (µm)\n",
    "F0  = td.C_0 / LDA                # design frequency (Hz)\n",
    "\n",
    "# --- Materials (cryogenic, ~4 K) ---\n",
    "N_SIO2    = 1.457\n",
    "N_SILICON = 3.4757\n",
    "\n",
    "SIO2    = td.Medium(name=\"sio2\",    permittivity=N_SIO2**2)\n",
    "SILICON = td.Medium(name=\"silicon\", permittivity=N_SILICON**2)\n",
    "\n",
    "# NbTiN: lossy-dielectric model fitted to cryogenic measurements\n",
    "# (real part of eps, conductivity sigma) -> P_abs = 0.5 * sigma * |E|^2 (per unit volume)\n",
    "NBTIN_EPS   = 2.8175\n",
    "NBTIN_SIGMA = 0.8898\n",
    "NBTIN       = td.Medium(name=\"NbTiN\",\n",
    "                        permittivity=NBTIN_EPS,\n",
    "                        conductivity=NBTIN_SIGMA)\n",
    "\n",
    "# --- Metalens aperture geometry ---\n",
    "L_METALENS = 60.0                 # square aperture side (µm)\n",
    "H_ANT      = 0.85                 # cylinder height for the focusing metalens (µm)\n",
    "SUB_T      = 0.10                 # SiO2 substrate thickness (µm)\n",
    "\n",
    "# --- Nanowire (NbTiN meander) geometry ---\n",
    "NW_T       = 0.008                # nanowire thickness     (8 nm)\n",
    "NW_W       = 0.100                # nanowire width        (100 nm)\n",
    "NW_L       = 5.0                  # nanowire length        (5 µm)\n",
    "NW_N       = int(((NW_L / NW_W) - 1) / 2) + 2      # number of strands per meander\n",
    "CAVITY_H   = 0.266                # quarter-wave cavity height for the metalens design (µm)\n",
    "\n",
    "# --- Simulation buffers ---\n",
    "XY_BUFFER  = 2.0 * LDA            # lateral buffer between metalens edge and PML\n",
    "\n",
    "print(f\"Wavelength       λ = {LDA} µm  (f₀ = {F0:.3e} Hz)\")\n",
    "print(f\"Metalens         L = {L_METALENS} µm,  cylinder height = {H_ANT} µm\")\n",
    "print(f\"Nanowire meander: {NW_N} strands of {NW_L} µm × {NW_W*1000:.0f} nm × {NW_T*1000:.1f} nm\")\n",
    "print(f\"NbTiN model:      ε' = {NBTIN_EPS},  σ = {NBTIN_SIGMA}\")\n"
   ]
  },
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   "cell_type": "markdown",
   "id": "50fb7b701cf7",
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   "source": [
    "## 2. Focusing Metalens Design\n",
    "\n",
    "### 2.1 Phase Profile\n",
    "\n",
    "For a hyperbolic phase profile centered on the lens, the meta-atom at lateral position (x, y) must imprint a phase\n",
    "\n",
    "$$\n",
    "\\varphi(x,y) \\;=\\; -\\frac{2\\pi}{\\lambda}\\!\\left(\\sqrt{x^2 + y^2 + f^2} - f\\right) \\pmod{2\\pi}\n",
    "$$\n",
    "\n",
    "where *f* is the back focal length. We discretize this continuous phase into **8 bins of 45°** and pick one cylindrical meta-atom geometry per bin.\n",
    "\n",
    "### 2.2 Pre-Computed Meta-Atom Library\n",
    "\n",
    "The eight cylinder radii below were pre-computed from a unit-cell RCWA / FDTD phase sweep (not reproduced here for brevity). Each radius produces a transmission with approximately unit amplitude and the listed central phase. For the unit-cell library generation, see the supplementary material of the reference paper.\n",
    "\n",
    "| bin | φ (deg) | radius (µm) |\n",
    "|----:|--------:|-------------:|\n",
    "| 0   | 0–45    | 0.180        |\n",
    "| 1   | 45–90   | 0.193        |\n",
    "| 2   | 90–135  | 0.214        |\n",
    "| 3   | 135–180 | 0.242        |\n",
    "| 4   | 180–225 | 0.102        |\n",
    "| 5   | 225–270 | 0.140        |\n",
    "| 6   | 270–315 | 0.157        |\n",
    "| 7   | 315–360 | 0.168        |\n",
    "\n",
    "### 2.3 The NA Sweep — Note on `F_OFFSET_LIST`\n",
    "\n",
    "The paraxial back focal length from a hyperbolic phase profile is\n",
    "\n",
    "$$\n",
    "f_{00} \\;=\\; \\frac{L/2}{\\tan(\\arcsin\\,\\mathrm{NA})}\n",
    "$$\n",
    "\n",
    "This is only an approximation: at high NA the actual focal plane shifts toward the lens because of finite meta-atom thickness, near-field coupling between adjacent cylinders, and other non-paraxial effects. `F_OFFSET_LIST` stores the empirical correction $\\Delta f$ (in µm) between the paraxial design and the converged focal plane. The simulation then uses\n",
    "\n",
    "$$\n",
    "f \\;=\\; f_{00} - h_\\mathrm{ant} - \\Delta f\n",
    "$$\n",
    "\n",
    "as the back-focal distance and places the focal-plane monitor accordingly. The values below are the pre-computed result of the focal-finder sweep in **Section 4**; running that section overwrites `F_OFFSET_LIST` with values recomputed from your own FDTD runs. If you trust the pre-computed list, skip Section 4 and proceed straight to Section 5.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b3842f170097",
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   "source": [
    "# 8-bin meta-atom radii (µm) — pre-computed from unit-cell phase sweep\n",
    "RADII = np.array([0.180, 0.193, 0.214, 0.242, 0.102, 0.140, 0.157, 0.168])\n",
    "\n",
    "# NA sweep parameters\n",
    "NA_LIST       = np.array([0.20, 0.25, 0.30, 0.35, 0.40, 0.45, 0.50,\n",
    "                          0.55, 0.60, 0.65, 0.70, 0.75, 0.80])\n",
    "\n",
    "# Empirical focal-plane correction Δf (µm), indexed by NA_LIST.\n",
    "# The actual focal distance is  f = f00 - h_ant - F_OFFSET_LIST[i].\n",
    "F_OFFSET_LIST = np.array([24.833, 17.600, 13.725, 10.625,  8.558,  7.008,  5.458,\n",
    "                           4.425,  3.650,  2.875,  2.093,  1.583,  1.067])\n",
    "\n",
    "# Meta-atom unit cell (lateral pitch)\n",
    "CELL_SIZE = 0.6                                   # µm\n",
    "NUM_CELLS = int(L_METALENS / CELL_SIZE)\n",
    "\n",
    "\n",
    "def metalens_cylinders(L, na, cell_size, num_cells, radii, lda,\n",
    "                       sub_z, sub_t, h_ant):\n",
    "    \"\"\"\n",
    "    Build the list of cylindrical meta-atoms for a focusing metalens of side `L`\n",
    "    at numerical aperture `na`.\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    cyls : list[td.Cylinder]\n",
    "        One cylinder per occupied unit cell, placed on the SiO2 substrate top.\n",
    "    f00  : float\n",
    "        Paraxial back focal length (used only for phase-profile evaluation).\n",
    "    \"\"\"\n",
    "    f00 = (L / 2) / np.tan(np.arcsin(na))\n",
    "    xc  = np.linspace(-L/2 + cell_size/2, L/2 - cell_size/2, num_cells)\n",
    "    yc  = np.linspace(-L/2 + cell_size/2, L/2 - cell_size/2, num_cells)\n",
    "\n",
    "    cyls = []\n",
    "    for x in xc:\n",
    "        for y in yc:\n",
    "            phi_deg = np.mod((-2*np.pi/lda *\n",
    "                              (np.sqrt(x**2 + y**2 + f00**2) - f00)) * 180/np.pi,\n",
    "                             360)\n",
    "            bin_idx = int(phi_deg // 45)\n",
    "            if 0 <= bin_idx < 8:\n",
    "                cyls.append(td.Cylinder(\n",
    "                    center=[x, y, sub_z + sub_t/2 + h_ant/2],\n",
    "                    radius=float(radii[bin_idx]),\n",
    "                    length=h_ant,\n",
    "                ))\n",
    "    return cyls, f00\n"
   ]
  },
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   "id": "a124a5c956b7",
   "metadata": {},
   "source": [
    "## 3. Visualizing the Metalens Layout\n",
    "\n",
    "Before launching the FDTD sweep we visualize the meta-atom layout for one representative NA (here NA = 0.5). The figure overlays the continuous hyperbolic phase profile φ(x, y) (rainbow background) with the actual placed cylinders (black circles). This makes it easy to verify by eye that the meta-atoms tile the phase rings as expected.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b4ef39d47806",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NA = 0.5: total cylinders placed = 10000\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x840 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Pick one NA for visualization\n",
    "NA_VIZ   = 0.5\n",
    "F00_VIZ  = (L_METALENS/2) / np.tan(np.arcsin(NA_VIZ))\n",
    "\n",
    "# Build the cylinder list (use a dummy sub_z=0 because we only need (x, y, r))\n",
    "viz_cyls, _ = metalens_cylinders(\n",
    "    L_METALENS, NA_VIZ, CELL_SIZE, NUM_CELLS, RADII, LDA,\n",
    "    sub_z=0.0, sub_t=SUB_T, h_ant=H_ANT,\n",
    ")\n",
    "ant_x = np.array([c.center[0] for c in viz_cyls])\n",
    "ant_y = np.array([c.center[1] for c in viz_cyls])\n",
    "ant_r = np.array([c.radius     for c in viz_cyls])\n",
    "print(f\"NA = {NA_VIZ}: total cylinders placed = {len(viz_cyls)}\")\n",
    "\n",
    "# Continuous phase background on a fine grid\n",
    "N_BG = 600\n",
    "x_bg = np.linspace(-L_METALENS/2, L_METALENS/2, N_BG)\n",
    "y_bg = np.linspace(-L_METALENS/2, L_METALENS/2, N_BG)\n",
    "Xb, Yb = np.meshgrid(x_bg, y_bg, indexing=\"xy\")\n",
    "phase_deg = np.mod(-2*np.pi/LDA *\n",
    "                   (np.sqrt(Xb**2 + Yb**2 + F00_VIZ**2) - F00_VIZ),\n",
    "                   2*np.pi) * 180/np.pi\n",
    "\n",
    "# Plot\n",
    "fig, ax = plt.subplots(figsize=(7.5, 7))\n",
    "im = ax.imshow(phase_deg,\n",
    "               extent=[-L_METALENS/2, L_METALENS/2,\n",
    "                       -L_METALENS/2, L_METALENS/2],\n",
    "               origin=\"lower\", cmap=\"rainbow\",\n",
    "               vmin=0, vmax=360, alpha=0.65,\n",
    "               interpolation=\"bilinear\", zorder=1)\n",
    "\n",
    "patches = [Circle((xi, yi), ri) for xi, yi, ri in zip(ant_x, ant_y, ant_r)]\n",
    "pc = PatchCollection(patches, facecolor=\"black\", edgecolor=\"none\",\n",
    "                     alpha=0.9, zorder=2)\n",
    "ax.add_collection(pc)\n",
    "\n",
    "# Aperture outline\n",
    "ax.plot([-L_METALENS/2, L_METALENS/2, L_METALENS/2, -L_METALENS/2, -L_METALENS/2],\n",
    "        [-L_METALENS/2, -L_METALENS/2, L_METALENS/2,  L_METALENS/2, -L_METALENS/2],\n",
    "        \"k-\", lw=1.0, zorder=3)\n",
    "\n",
    "cbar = fig.colorbar(im, ax=ax, pad=0.02, fraction=0.046,\n",
    "                    ticks=[0, 90, 180, 270, 360])\n",
    "cbar.set_label(\"Phase φ (°)\")\n",
    "\n",
    "ax.set_xlabel(\"x (µm)\"); ax.set_ylabel(\"y (µm)\")\n",
    "ax.set_aspect(\"equal\")\n",
    "ax.set_xlim(-L_METALENS/2, L_METALENS/2)\n",
    "ax.set_ylim(-L_METALENS/2, L_METALENS/2)\n",
    "ax.set_title(f\"Metalens layout at NA = {NA_VIZ}\\n\"\n",
    "             f\"{L_METALENS:.0f} × {L_METALENS:.0f} µm² aperture · \"\n",
    "             f\"{len(viz_cyls)} meta-atoms\")\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig(os.path.join(FIG_DIR, f\"metalens_layout_NA{NA_VIZ:.2f}.png\"))\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "42daab07a036",
   "metadata": {},
   "source": [
    "## 4. Focal-Plane Finder (Optional)\n",
    "\n",
    "The `F_OFFSET_LIST` defined in Section 2.3 has to come from somewhere. This section is the **reproducible recipe** that generates it: for each NA in the sweep we run a bare-metalens FDTD simulation (no nanowires) with a line monitor along the optical axis, locate the |E|² peak, and read off the actual focal distance from the antenna top.\n",
    "\n",
    "The workflow has two parts:\n",
    "\n",
    "- **4.1** — launch one bare-metalens simulation per NA with an axial `FieldMonitor` running from just above the antenna top to the top of the simulation box.\n",
    "- **4.2** — load each result, find the peak of $|E_x|^2 + |E_y|^2 + |E_z|^2$ along that line, and compute $\\Delta f = f_\\mathrm{design,\\,top} - f_\\mathrm{simulated}$.\n",
    "\n",
    "This produces a fresh `F_OFFSET_LIST` from your own simulations rather than relying on the pre-computed numbers in §2.3.\n",
    "\n",
    "**Skip this section** to save 13 FlexCredits-worth of simulation time and use the pre-computed list. The downstream sweeps in Sections 5 and 6 read `F_OFFSET_LIST` regardless of how it was populated.\n",
    "\n",
    "**FlexCredit note:** thirteen 3D FDTD simulations (one per NA in `NA_LIST`).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b8df7f0b6836",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "### NA = 0.20 ###\n",
      "  f_design_top = 146.119 µm,  line z ∈ [-71.43, 75.58] µm\n",
      "  cylinders = 10000\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:51:43 -03 </span>Loading simulation from local cache. View cached task using web UI \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>at                                                                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-70294f06-e74d-45e1-93b7-1d58eaa03b34\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-70294f06-e74</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-70294f06-e74d-45e1-93b7-1d58eaa03b34\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">d-45e1-93b7-1d58eaa03b34'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:51:43 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from local cache. View cached task using web UI \n",
       "\u001b[2;36m             \u001b[0mat                                                                 \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=734255;https://tidy3d.simulation.cloud/workbench?taskId=fdve-70294f06-e74d-45e1-93b7-1d58eaa03b34\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=202076;https://tidy3d.simulation.cloud/workbench?taskId=fdve-70294f06-e74d-45e1-93b7-1d58eaa03b34\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=734255;https://tidy3d.simulation.cloud/workbench?taskId=fdve-70294f06-e74d-45e1-93b7-1d58eaa03b34\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=799868;https://tidy3d.simulation.cloud/workbench?taskId=fdve-70294f06-e74d-45e1-93b7-1d58eaa03b34\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=734255;https://tidy3d.simulation.cloud/workbench?taskId=fdve-70294f06-e74d-45e1-93b7-1d58eaa03b34\u001b\\\u001b[32m-70294f06-e74\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=734255;https://tidy3d.simulation.cloud/workbench?taskId=fdve-70294f06-e74d-45e1-93b7-1d58eaa03b34\u001b\\\u001b[32md-45e1-93b7-1d58eaa03b34'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "### NA = 0.25 ###\n",
      "  f_design_top = 115.340 µm,  line z ∈ [-56.04, 60.19] µm\n",
      "  cylinders = 10000\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:51:45 -03 </span>Loading simulation from local cache. View cached task using web UI \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>at                                                                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-44badfd7-0bc4-4b79-9f5d-5303a4b102ed\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-44badfd7-0bc</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-44badfd7-0bc4-4b79-9f5d-5303a4b102ed\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">4-4b79-9f5d-5303a4b102ed'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:51:45 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from local cache. View cached task using web UI \n",
       "\u001b[2;36m             \u001b[0mat                                                                 \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=891814;https://tidy3d.simulation.cloud/workbench?taskId=fdve-44badfd7-0bc4-4b79-9f5d-5303a4b102ed\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=942253;https://tidy3d.simulation.cloud/workbench?taskId=fdve-44badfd7-0bc4-4b79-9f5d-5303a4b102ed\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=891814;https://tidy3d.simulation.cloud/workbench?taskId=fdve-44badfd7-0bc4-4b79-9f5d-5303a4b102ed\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=641503;https://tidy3d.simulation.cloud/workbench?taskId=fdve-44badfd7-0bc4-4b79-9f5d-5303a4b102ed\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=891814;https://tidy3d.simulation.cloud/workbench?taskId=fdve-44badfd7-0bc4-4b79-9f5d-5303a4b102ed\u001b\\\u001b[32m-44badfd7-0bc\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=891814;https://tidy3d.simulation.cloud/workbench?taskId=fdve-44badfd7-0bc4-4b79-9f5d-5303a4b102ed\u001b\\\u001b[32m4-4b79-9f5d-5303a4b102ed'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:51:46 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.17e-05</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:51:46 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m1.17e-05\u001b[0m\u001b[31m is greater \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "### NA = 0.30 ###\n",
      "  f_design_top = 94.544 µm,  line z ∈ [-45.65, 49.80] µm\n",
      "  cylinders = 10000\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:51:47 -03 </span>Loading simulation from local cache. View cached task using web UI \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>at                                                                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-4f1e7fa3-9a62-4428-be29-7f715897e4f1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-4f1e7fa3-9a6</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-4f1e7fa3-9a62-4428-be29-7f715897e4f1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">2-4428-be29-7f715897e4f1'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:51:47 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from local cache. View cached task using web UI \n",
       "\u001b[2;36m             \u001b[0mat                                                                 \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=460733;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4f1e7fa3-9a62-4428-be29-7f715897e4f1\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=12695;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4f1e7fa3-9a62-4428-be29-7f715897e4f1\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=460733;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4f1e7fa3-9a62-4428-be29-7f715897e4f1\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=579948;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4f1e7fa3-9a62-4428-be29-7f715897e4f1\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=460733;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4f1e7fa3-9a62-4428-be29-7f715897e4f1\u001b\\\u001b[32m-4f1e7fa3-9a6\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=460733;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4f1e7fa3-9a62-4428-be29-7f715897e4f1\u001b\\\u001b[32m2-4428-be29-7f715897e4f1'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:51:48 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.46e-05</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:51:48 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m2.46e-05\u001b[0m\u001b[31m is greater \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "### NA = 0.35 ###\n",
      "  f_design_top = 79.443 µm,  line z ∈ [-38.10, 42.25] µm\n",
      "  cylinders = 10000\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:51:49 -03 </span>Loading simulation from local cache. View cached task using web UI \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>at                                                                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-462aa958-fad7-46e2-b2d2-b4b349068184\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-462aa958-fad</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-462aa958-fad7-46e2-b2d2-b4b349068184\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">7-46e2-b2d2-b4b349068184'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:51:49 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from local cache. View cached task using web UI \n",
       "\u001b[2;36m             \u001b[0mat                                                                 \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=534209;https://tidy3d.simulation.cloud/workbench?taskId=fdve-462aa958-fad7-46e2-b2d2-b4b349068184\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=236533;https://tidy3d.simulation.cloud/workbench?taskId=fdve-462aa958-fad7-46e2-b2d2-b4b349068184\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=534209;https://tidy3d.simulation.cloud/workbench?taskId=fdve-462aa958-fad7-46e2-b2d2-b4b349068184\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=879207;https://tidy3d.simulation.cloud/workbench?taskId=fdve-462aa958-fad7-46e2-b2d2-b4b349068184\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=534209;https://tidy3d.simulation.cloud/workbench?taskId=fdve-462aa958-fad7-46e2-b2d2-b4b349068184\u001b\\\u001b[32m-462aa958-fad\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=534209;https://tidy3d.simulation.cloud/workbench?taskId=fdve-462aa958-fad7-46e2-b2d2-b4b349068184\u001b\\\u001b[32m7-46e2-b2d2-b4b349068184'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:51:50 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4e-05</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:51:50 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m4e-05\u001b[0m\u001b[31m is greater    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "### NA = 0.40 ###\n",
      "  f_design_top = 67.889 µm,  line z ∈ [-32.32, 36.47] µm\n",
      "  cylinders = 10000\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:51:51 -03 </span>Loading simulation from local cache. View cached task using web UI \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>at                                                                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-d3a65b49-d1bd-42c9-a9f6-6b79e9ae8d84\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-d3a65b49-d1b</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-d3a65b49-d1bd-42c9-a9f6-6b79e9ae8d84\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">d-42c9-a9f6-6b79e9ae8d84'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:51:51 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from local cache. View cached task using web UI \n",
       "\u001b[2;36m             \u001b[0mat                                                                 \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=352309;https://tidy3d.simulation.cloud/workbench?taskId=fdve-d3a65b49-d1bd-42c9-a9f6-6b79e9ae8d84\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=46226;https://tidy3d.simulation.cloud/workbench?taskId=fdve-d3a65b49-d1bd-42c9-a9f6-6b79e9ae8d84\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=352309;https://tidy3d.simulation.cloud/workbench?taskId=fdve-d3a65b49-d1bd-42c9-a9f6-6b79e9ae8d84\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=97198;https://tidy3d.simulation.cloud/workbench?taskId=fdve-d3a65b49-d1bd-42c9-a9f6-6b79e9ae8d84\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=352309;https://tidy3d.simulation.cloud/workbench?taskId=fdve-d3a65b49-d1bd-42c9-a9f6-6b79e9ae8d84\u001b\\\u001b[32m-d3a65b49-d1b\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=352309;https://tidy3d.simulation.cloud/workbench?taskId=fdve-d3a65b49-d1bd-42c9-a9f6-6b79e9ae8d84\u001b\\\u001b[32md-42c9-a9f6-6b79e9ae8d84'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:51:52 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6.55e-05</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:51:52 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m6.55e-05\u001b[0m\u001b[31m is greater \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "### NA = 0.45 ###\n",
      "  f_design_top = 58.685 µm,  line z ∈ [-27.72, 31.87] µm\n",
      "  cylinders = 10000\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:51:53 -03 </span>Loading simulation from local cache. View cached task using web UI \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>at                                                                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-68d1bda8-14c4-4f25-a0e0-4bf11f742a71\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-68d1bda8-14c</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-68d1bda8-14c4-4f25-a0e0-4bf11f742a71\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">4-4f25-a0e0-4bf11f742a71'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:51:53 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from local cache. View cached task using web UI \n",
       "\u001b[2;36m             \u001b[0mat                                                                 \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=982976;https://tidy3d.simulation.cloud/workbench?taskId=fdve-68d1bda8-14c4-4f25-a0e0-4bf11f742a71\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=435400;https://tidy3d.simulation.cloud/workbench?taskId=fdve-68d1bda8-14c4-4f25-a0e0-4bf11f742a71\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=982976;https://tidy3d.simulation.cloud/workbench?taskId=fdve-68d1bda8-14c4-4f25-a0e0-4bf11f742a71\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=790656;https://tidy3d.simulation.cloud/workbench?taskId=fdve-68d1bda8-14c4-4f25-a0e0-4bf11f742a71\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=982976;https://tidy3d.simulation.cloud/workbench?taskId=fdve-68d1bda8-14c4-4f25-a0e0-4bf11f742a71\u001b\\\u001b[32m-68d1bda8-14c\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=982976;https://tidy3d.simulation.cloud/workbench?taskId=fdve-68d1bda8-14c4-4f25-a0e0-4bf11f742a71\u001b\\\u001b[32m4-4f25-a0e0-4bf11f742a71'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:51:54 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.000124</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:51:54 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.000124\u001b[0m\u001b[31m is greater \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "### NA = 0.50 ###\n",
      "  f_design_top = 51.112 µm,  line z ∈ [-23.93, 28.08] µm\n",
      "  cylinders = 10000\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:51:55 -03 </span>Loading simulation from local cache. View cached task using web UI \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>at                                                                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-34490420-69b9-47b6-bc6d-ac7a1b6e735d\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-34490420-69b</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-34490420-69b9-47b6-bc6d-ac7a1b6e735d\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">9-47b6-bc6d-ac7a1b6e735d'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:51:55 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from local cache. View cached task using web UI \n",
       "\u001b[2;36m             \u001b[0mat                                                                 \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=915109;https://tidy3d.simulation.cloud/workbench?taskId=fdve-34490420-69b9-47b6-bc6d-ac7a1b6e735d\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=860297;https://tidy3d.simulation.cloud/workbench?taskId=fdve-34490420-69b9-47b6-bc6d-ac7a1b6e735d\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=915109;https://tidy3d.simulation.cloud/workbench?taskId=fdve-34490420-69b9-47b6-bc6d-ac7a1b6e735d\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=777478;https://tidy3d.simulation.cloud/workbench?taskId=fdve-34490420-69b9-47b6-bc6d-ac7a1b6e735d\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=915109;https://tidy3d.simulation.cloud/workbench?taskId=fdve-34490420-69b9-47b6-bc6d-ac7a1b6e735d\u001b\\\u001b[32m-34490420-69b\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=915109;https://tidy3d.simulation.cloud/workbench?taskId=fdve-34490420-69b9-47b6-bc6d-ac7a1b6e735d\u001b\\\u001b[32m9-47b6-bc6d-ac7a1b6e735d'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.000191</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.000191\u001b[0m\u001b[31m is greater \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "### NA = 0.55 ###\n",
      "  f_design_top = 44.704 µm,  line z ∈ [-20.73, 24.88] µm\n",
      "  cylinders = 10000\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:51:57 -03 </span>Loading simulation from local cache. View cached task using web UI \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>at                                                                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-1d5d2b60-8560-4e21-9fc4-8c759cde546f\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-1d5d2b60-856</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-1d5d2b60-8560-4e21-9fc4-8c759cde546f\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">0-4e21-9fc4-8c759cde546f'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:51:57 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from local cache. View cached task using web UI \n",
       "\u001b[2;36m             \u001b[0mat                                                                 \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=830384;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1d5d2b60-8560-4e21-9fc4-8c759cde546f\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=155020;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1d5d2b60-8560-4e21-9fc4-8c759cde546f\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=830384;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1d5d2b60-8560-4e21-9fc4-8c759cde546f\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=319328;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1d5d2b60-8560-4e21-9fc4-8c759cde546f\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=830384;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1d5d2b60-8560-4e21-9fc4-8c759cde546f\u001b\\\u001b[32m-1d5d2b60-856\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=830384;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1d5d2b60-8560-4e21-9fc4-8c759cde546f\u001b\\\u001b[32m0-4e21-9fc4-8c759cde546f'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.000325</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.000325\u001b[0m\u001b[31m is greater \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "### NA = 0.60 ###\n",
      "  f_design_top = 39.150 µm,  line z ∈ [-17.95, 22.10] µm\n",
      "  cylinders = 10000\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:51:59 -03 </span>Loading simulation from local cache. View cached task using web UI \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>at                                                                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-cb933487-e794-4bf8-a35e-647b7195cf12\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-cb933487-e79</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-cb933487-e794-4bf8-a35e-647b7195cf12\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">4-4bf8-a35e-647b7195cf12'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:51:59 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from local cache. View cached task using web UI \n",
       "\u001b[2;36m             \u001b[0mat                                                                 \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=382236;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cb933487-e794-4bf8-a35e-647b7195cf12\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=553696;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cb933487-e794-4bf8-a35e-647b7195cf12\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=382236;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cb933487-e794-4bf8-a35e-647b7195cf12\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=566074;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cb933487-e794-4bf8-a35e-647b7195cf12\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=382236;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cb933487-e794-4bf8-a35e-647b7195cf12\u001b\\\u001b[32m-cb933487-e79\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=382236;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cb933487-e794-4bf8-a35e-647b7195cf12\u001b\\\u001b[32m4-4bf8-a35e-647b7195cf12'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.000501</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.000501\u001b[0m\u001b[31m is greater \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "### NA = 0.65 ###\n",
      "  f_design_top = 34.224 µm,  line z ∈ [-15.49, 19.64] µm\n",
      "  cylinders = 10000\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:00 -03 </span>Loading simulation from local cache. View cached task using web UI \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>at                                                                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-a968b5a8-74be-4c45-a275-e705be4465bc\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-a968b5a8-74b</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-a968b5a8-74be-4c45-a275-e705be4465bc\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">e-4c45-a275-e705be4465bc'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:00 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from local cache. View cached task using web UI \n",
       "\u001b[2;36m             \u001b[0mat                                                                 \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=101644;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a968b5a8-74be-4c45-a275-e705be4465bc\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=975342;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a968b5a8-74be-4c45-a275-e705be4465bc\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=101644;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a968b5a8-74be-4c45-a275-e705be4465bc\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=875809;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a968b5a8-74be-4c45-a275-e705be4465bc\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=101644;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a968b5a8-74be-4c45-a275-e705be4465bc\u001b\\\u001b[32m-a968b5a8-74b\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=101644;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a968b5a8-74be-4c45-a275-e705be4465bc\u001b\\\u001b[32me-4c45-a275-e705be4465bc'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:01 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.000844</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:01 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.000844\u001b[0m\u001b[31m is greater \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "### NA = 0.70 ###\n",
      "  f_design_top = 29.756 µm,  line z ∈ [-13.25, 17.40] µm\n",
      "  cylinders = 10000\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:02 -03 </span>Loading simulation from local cache. View cached task using web UI \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>at                                                                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-e51be414-92f9-409a-b67a-3d8bb9c57d18\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-e51be414-92f</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-e51be414-92f9-409a-b67a-3d8bb9c57d18\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">9-409a-b67a-3d8bb9c57d18'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:02 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from local cache. View cached task using web UI \n",
       "\u001b[2;36m             \u001b[0mat                                                                 \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=862175;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e51be414-92f9-409a-b67a-3d8bb9c57d18\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=785667;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e51be414-92f9-409a-b67a-3d8bb9c57d18\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=862175;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e51be414-92f9-409a-b67a-3d8bb9c57d18\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=714861;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e51be414-92f9-409a-b67a-3d8bb9c57d18\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=862175;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e51be414-92f9-409a-b67a-3d8bb9c57d18\u001b\\\u001b[32m-e51be414-92f\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=862175;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e51be414-92f9-409a-b67a-3d8bb9c57d18\u001b\\\u001b[32m9-409a-b67a-3d8bb9c57d18'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:03 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0015</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:03 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.0015\u001b[0m\u001b[31m is greater   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "### NA = 0.75 ###\n",
      "  f_design_top = 25.608 µm,  line z ∈ [-11.18, 15.33] µm\n",
      "  cylinders = 10000\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:04 -03 </span>Loading simulation from local cache. View cached task using web UI \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>at                                                                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-c983a68d-d32a-4fa4-a681-f4b72d8ef397\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-c983a68d-d32</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-c983a68d-d32a-4fa4-a681-f4b72d8ef397\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">a-4fa4-a681-f4b72d8ef397'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:04 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from local cache. View cached task using web UI \n",
       "\u001b[2;36m             \u001b[0mat                                                                 \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=577320;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c983a68d-d32a-4fa4-a681-f4b72d8ef397\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=44247;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c983a68d-d32a-4fa4-a681-f4b72d8ef397\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=577320;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c983a68d-d32a-4fa4-a681-f4b72d8ef397\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=832574;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c983a68d-d32a-4fa4-a681-f4b72d8ef397\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=577320;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c983a68d-d32a-4fa4-a681-f4b72d8ef397\u001b\\\u001b[32m-c983a68d-d32\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=577320;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c983a68d-d32a-4fa4-a681-f4b72d8ef397\u001b\\\u001b[32ma-4fa4-a681-f4b72d8ef397'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:05 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00291</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:05 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.00291\u001b[0m\u001b[31m is greater  \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "### NA = 0.80 ###\n",
      "  f_design_top = 21.650 µm,  line z ∈ [-9.20, 13.35] µm\n",
      "  cylinders = 10000\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:06 -03 </span>Loading simulation from local cache. View cached task using web UI \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>at                                                                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-e75df85c-9189-4a0f-8d4b-90cf9be94945\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-e75df85c-918</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-e75df85c-9189-4a0f-8d4b-90cf9be94945\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">9-4a0f-8d4b-90cf9be94945'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:06 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from local cache. View cached task using web UI \n",
       "\u001b[2;36m             \u001b[0mat                                                                 \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=634046;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e75df85c-9189-4a0f-8d4b-90cf9be94945\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=914923;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e75df85c-9189-4a0f-8d4b-90cf9be94945\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=634046;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e75df85c-9189-4a0f-8d4b-90cf9be94945\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=909852;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e75df85c-9189-4a0f-8d4b-90cf9be94945\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=634046;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e75df85c-9189-4a0f-8d4b-90cf9be94945\u001b\\\u001b[32m-e75df85c-918\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=634046;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e75df85c-9189-4a0f-8d4b-90cf9be94945\u001b\\\u001b[32m9-4a0f-8d4b-90cf9be94945'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:07 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00411</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:07 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.00411\u001b[0m\u001b[31m is greater  \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "All focal-finder runs complete.\n"
     ]
    }
   ],
   "source": [
    "# --- 4.1: Launch the focal-finder sweep ---\n",
    "def build_focal_finder_sim(na, L=L_METALENS):\n",
    "    \"\"\"\n",
    "    Bare metalens with an axial line monitor above the antenna top.\n",
    "    No nanowires, no PEC mirror — pure optical focusing test.\n",
    "    \"\"\"\n",
    "    f00          = (L/2) / np.tan(np.arcsin(na))\n",
    "    f_design_top = f00 - H_ANT                      # designed distance above antenna\n",
    "\n",
    "    L_sim_xy = L + 2 * XY_BUFFER\n",
    "\n",
    "    z_below_sub = 2 * LDA\n",
    "    z_above     = f_design_top + 1.0\n",
    "    L_h         = z_below_sub + SUB_T + H_ANT + z_above\n",
    "    sub_z       = -L_h/2 + z_below_sub + SUB_T/2\n",
    "    metalens_top = sub_z + SUB_T/2 + H_ANT\n",
    "\n",
    "    # --- Substrate ---\n",
    "    metalens_sub = td.Structure(\n",
    "        geometry=td.Box(center=[0, 0, sub_z],\n",
    "                        size=[td.inf, td.inf, SUB_T]),\n",
    "        name=\"metalens_sub\", medium=SIO2,\n",
    "    )\n",
    "\n",
    "    # --- Metalens cylinders (with PML-safety filter on positions) ---\n",
    "    xc = np.linspace(-L/2 + CELL_SIZE/2, L/2 - CELL_SIZE/2, NUM_CELLS)\n",
    "    yc = np.linspace(-L/2 + CELL_SIZE/2, L/2 - CELL_SIZE/2, NUM_CELLS)\n",
    "    safe_edge = L_sim_xy/2 - LDA\n",
    "    max_r     = RADII.max()\n",
    "    cyls = []\n",
    "    for x in xc:\n",
    "        for y in yc:\n",
    "            if (abs(x) + max_r > safe_edge) or (abs(y) + max_r > safe_edge):\n",
    "                continue\n",
    "            phi_deg = np.mod((-2*np.pi/LDA *\n",
    "                              (np.sqrt(x**2 + y**2 + f00**2) - f00)) * 180/np.pi,\n",
    "                             360)\n",
    "            bin_idx = int(phi_deg // 45)\n",
    "            if 0 <= bin_idx < 8:\n",
    "                cyls.append(td.Cylinder(\n",
    "                    center=[x, y, sub_z + SUB_T/2 + H_ANT/2],\n",
    "                    radius=float(RADII[bin_idx]), length=H_ANT,\n",
    "                ))\n",
    "    metalens = td.Structure(\n",
    "        geometry=td.GeometryGroup(geometries=cyls),\n",
    "        medium=SILICON, name=\"metalens\",\n",
    "    )\n",
    "\n",
    "    # --- Source ---\n",
    "    src = td.PlaneWave(\n",
    "        name=\"x_pol\",\n",
    "        center=[0, 0, sub_z - SUB_T],\n",
    "        size=[L, L, 0],\n",
    "        source_time=td.GaussianPulse(freq0=F0, fwidth=F0/5),\n",
    "        num_freqs=1, direction=\"+\",\n",
    "    )\n",
    "\n",
    "    # --- Axial line monitor: x = y = 0, z spanning from above the antenna to top ---\n",
    "    z_line_min   = metalens_top + 0.1            # 100 nm above antenna\n",
    "    z_line_max   = metalens_top + z_above\n",
    "    z_line_cen   = 0.5 * (z_line_min + z_line_max)\n",
    "    z_line_size  = z_line_max - z_line_min\n",
    "\n",
    "    axial_line = td.FieldMonitor(\n",
    "        name=\"axial_line\",\n",
    "        center=[0, 0, z_line_cen],\n",
    "        size=[0, 0, z_line_size],\n",
    "        freqs=[F0],\n",
    "        fields=[\"Ex\", \"Ey\", \"Ez\"],\n",
    "    )\n",
    "    field_xz = td.FieldMonitor(\n",
    "        name=\"field_xz\",\n",
    "        size=[td.inf, 0, td.inf],\n",
    "        freqs=[F0],\n",
    "        fields=[\"Ex\", \"Ey\", \"Ez\"],\n",
    "    )\n",
    "\n",
    "    sim = td.Simulation(\n",
    "        size=(L_sim_xy, L_sim_xy, L_h),\n",
    "        grid_spec=td.GridSpec.auto(wavelength=LDA, min_steps_per_wvl=6),\n",
    "        structures=[metalens_sub, metalens],\n",
    "        boundary_spec=td.BoundarySpec(\n",
    "            x=td.Boundary.pml(),\n",
    "            y=td.Boundary.pml(),\n",
    "            z=td.Boundary.pml(),\n",
    "        ),\n",
    "        sources=[src],\n",
    "        monitors=[axial_line, field_xz],\n",
    "        run_time=2 * L_h * 1e-14,\n",
    "    )\n",
    "    return sim, dict(n_cyl=len(cyls), f_design_top=f_design_top,\n",
    "                     z_line_min=z_line_min, z_line_max=z_line_max,\n",
    "                     metalens_top=metalens_top)\n",
    "\n",
    "\n",
    "# Launch all 13 NA values\n",
    "for na in NA_LIST:\n",
    "    sim, info = build_focal_finder_sim(na)\n",
    "    print(f\"\\n### NA = {na:.2f} ###\")\n",
    "    print(f\"  f_design_top = {info['f_design_top']:.3f} µm,  \"\n",
    "          f\"line z ∈ [{info['z_line_min']:.2f}, {info['z_line_max']:.2f}] µm\")\n",
    "    print(f\"  cylinders = {info['n_cyl']}\")\n",
    "\n",
    "    web.run(\n",
    "        sim,\n",
    "        task_name=f\"focal_finder_NA{na:.2f}\",\n",
    "        path=os.path.join(DATA_DIR, f\"focal_finder_NA{na:.2f}.hdf5\"),\n",
    "        verbose=True,\n",
    "    )\n",
    "\n",
    "print(\"\\nAll focal-finder runs complete.\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9fe4fbb116f7",
   "metadata": {},
   "source": [
    "### 4.1 Post-Process — Locate Peaks and Recompute `F_OFFSET_LIST`\n",
    "\n",
    "Load each saved focal-finder simulation, find the |E|² peak along the axial line, and convert that to a Δf value relative to the designed (paraxial) focal distance.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "29df8771ad56",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NA = 0.20:  f_design = 146.119 µm,  f_sim = 121.286 µm,  Δf = +24.833 µm,  |Δf/f| = 0.1700\n",
      "NA = 0.25:  f_design = 115.340 µm,  f_sim = 97.740 µm,  Δf = +17.600 µm,  |Δf/f| = 0.1526\n",
      "NA = 0.30:  f_design = 94.544 µm,  f_sim = 80.819 µm,  Δf = +13.725 µm,  |Δf/f| = 0.1452\n",
      "NA = 0.35:  f_design = 79.443 µm,  f_sim = 68.818 µm,  Δf = +10.625 µm,  |Δf/f| = 0.1337\n",
      "NA = 0.40:  f_design = 67.889 µm,  f_sim = 59.330 µm,  Δf = +8.558 µm,  |Δf/f| = 0.1261\n",
      "NA = 0.45:  f_design = 58.685 µm,  f_sim = 51.677 µm,  Δf = +7.008 µm,  |Δf/f| = 0.1194\n",
      "NA = 0.50:  f_design = 51.112 µm,  f_sim = 45.653 µm,  Δf = +5.458 µm,  |Δf/f| = 0.1068\n",
      "NA = 0.55:  f_design = 44.704 µm,  f_sim = 40.279 µm,  Δf = +4.425 µm,  |Δf/f| = 0.0990\n",
      "NA = 0.60:  f_design = 39.150 µm,  f_sim = 35.500 µm,  Δf = +3.650 µm,  |Δf/f| = 0.0932\n",
      "NA = 0.65:  f_design = 34.224 µm,  f_sim = 31.349 µm,  Δf = +2.875 µm,  |Δf/f| = 0.0840\n",
      "NA = 0.70:  f_design = 29.756 µm,  f_sim = 27.663 µm,  Δf = +2.093 µm,  |Δf/f| = 0.0703\n",
      "NA = 0.75:  f_design = 25.608 µm,  f_sim = 24.024 µm,  Δf = +1.583 µm,  |Δf/f| = 0.0618\n",
      "NA = 0.80:  f_design = 21.650 µm,  f_sim = 20.583 µm,  Δf = +1.067 µm,  |Δf/f| = 0.0493\n",
      "\n",
      "F_OFFSET_LIST overwritten from focal-finder results.\n"
     ]
    },
    {
     "data": {
      "image/png": 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XOzu7XNufDpaiKBr+X1KvkXr16uHkyZPo3bs3VCoVvvvuO4wbNw5NmzZF9erVsX79+jy3LcxzKEu6dOkCT09PPHnyxOg18u2330Kn06Fjx46GL2P0nufnUxRjx46Fl5cX7t69W6h9btu2DRqNBlWqVEHXrl1zLNeHnPPnz+Pff/81SY1EUlA2f/sQkeQ5Oztjw4YN8PPzQ3x8PEaPHm203N7eHgDQvn17wwfb/P4VZpbw06dP4/r167CxscHvv/+OgIAAeHp6Gn3zXhJnAfT0Z2B27Nhh+HCrDzeBgYE55tnQ/wwGDRpUqJ+Bv7+/Sep0cHAAgDyH2AVgdOmSfn1HR0cAQEJCQqGPVRJ9cvny5Vw/1Oc2jG5+Q+s+vUz/HPOzc+dOZGRkoGXLlvjuu+/Qtm1bKJVKyOXyYj2PwijJ10jjxo0REhKChIQEHD9+HIsXL0bbtm3x4MEDjBw5EmvXrjX58zEHmUyGAQMGADD+siGvM6d6pfHzsba2xpw5cwAA8+bNQ2pqar7r6y83i4qKglwuzzGUddOmTQ3rbtq06bnrI5IKBhoiKjEWFhZYuXIlgKz7FA4fPmxYpr+k6erVqyabN0F/SVPdunXh5uaWY3l8fDxu3bqV67amuISkW7duqFy5Mh4/foyDBw8iMzMT33//PYCcl4cA2T+D0v4m9cUXXwSQNUN7Xj97/eVlNWrUMISPRo0aAcj64J7Xz/FZz9MneTl8+HChQ29ERIThzNKz9DO1P/0c86N/Li+//HKuZyP084KYUmm8RiwtLeHn54dp06bh2LFjmDJlCgBgzZo1JXbMwjLF+xLIDi2//PIL4uPjce7cOVy7dg12dna53kf2tJL++QwZMgQvvvgiHj9+jOXLl+e53smTJ3Ht2jUAWWcX8/rn4uICIOsMVEnd/0NU1jDQEFGJatGiBV5//XUAwCeffGJof/nll+Hp6YnY2FiTfZOoPwPy+PFjo8t29FasWAGNRpPvts9zWZdMJkP//v0BZH37u3//fsTFxaFatWro0KFDjvVff/112NjY4OLFi/jjjz+KfdyievXVV2FhYYGwsDDs2bMnx3KNRoPPP/8cANCjRw9De7Vq1Qw3pi9cuLBQx3qePjEFtVqd6wdPURSxatUqAMbPMT/655LbjfeiKGLp0qXPUWnuzPEaadu2LQDg4cOHpXK8/JjifQkADRo0QNOmTZGRkYEffvjBcKamT58+hrNghWXqn49MJsP8+fMBAEuXLs3zTN/mzZsBZH2xEBUVlee/W7duQaFQIDY2ttiTrhJJDQMNEZU4fZD5+++/cejQIQBZ33oGBwcDyLonYuXKlTlGhkpJScGePXswbNiwQh2nTZs2UCgUePjwIT7++GPDZV86nQ6rV6/GggULYG1tneu2tWrVApD1rX1+l2IVRP9N8L59+7B69WoAwMCBA3P9prlSpUqG0d/69etnuD7+aXFxcdi2bRumTp1a7JqeVa1aNUOdY8eOxbFjxwzLkpOTMXToUNy9exf29vaYNGmS0bZLliyBhYUFtmzZggkTJuS4/Oz06dNGAeJ5+sQUFAoF5s6di59++snQplKpMGLECNy4cQO2traYOHFiofalD6W7du0yGhktOTkZw4YNw+nTp01bPEruNfL+++9j+/btOfovKioKK1asAJD1ZYS5mep9CWS/Nzdv3oydO3cCyP3MKVD6P58+ffqgVatWSEpKwo8//phjuUqlMpztHTp0aL77cnNzQ0BAAIDsEERU7pXEWNBEVHEUNLGmXo8ePUQAYrt27YzaV65caZgp3draWmzcuLHYqlUrsWbNmoa5Up6dhyS/+WBmz55tWObu7i42b95cdHd3FwGIw4YNy3M+DJ1OJzZs2FAEINra2orNmzcXO3ToIHbo0MEwP0ph57/R70f/79atW3muq9PpxKlTpxrWtbe3F5s1aya2bNlSrFatmigIQrHm4ShoYs2kpCTD3DkAxFq1aonNmzc3zNlhY2Mj/vTTT7luu3nzZlGhUBgmWWzUqJHYuHFj0cnJKddai9snppiHpkOHDmJgYKBhPy1atBAdHBxEAKJMJhN37NiR77ZP02q1hpnnAYjVq1cXX3rpJdHW1la0sLAQt23bZlj27GSdBfWHKIp5blsSr5HGjRuLAERBEMSaNWuKrVq1El988UXDe7FSpUritWvXjLbJby4ZUcz//VHceWgK874srMePHxueHwDR29vbaDLfpxXn55Of3OahedahQ4eMfm88PQ/N1q1bRQCipaWl+OTJkwKP98svv4gAcsx9RVRe8QwNEZUK/Y2vR48exV9//WVonzBhAi5fvowxY8agevXquH37Ns6dO4eUlBS0b98eixcvLtKlNp999hk2btyIJk2aICkpCbdu3ULNmjWxceNGbNiwIc/tBEHAgQMHMHjwYCiVSly6dAlHjhzBkSNHkJ6eXqTn+vS3vq1bt0bt2rXzPe6SJUtw+vRpDB06FJUrV8a1a9dw4cIFqNVqdOvWDatWrcI333xTpBoK4uDggEOHDmH16tXw8/NDdHQ0/v33X7i7u2PYsGG4dOmS4VveZw0dOhSXL1/GiBEj4OPjg1u3buHevXvw9PTEsGHDMG/ePKP1i9snpvL9999j2bJlcHR0xJUrVyCTydCjRw8cO3YMb7/9dqH3Y2FhgQMHDmD69OmoXr06IiIiEBYWho4dO+LQoUMYOHBgidRfEq+RlStXYvLkyWjRogVUKhXOnz+P8PBw1KtXD9OnT8eVK1dQt27dEnk+RWHK92WlSpXw6quvGh4PGDAgz5HZzPHz6dixI7p165brMv1gAAEBAbnei/asV199FZ6entDpdNiyZYspyyQqkwRRzOWiZiIiIgnbsmULhg4dig4dOhgNRkFEROUPz9AQEREREZFkMdAQEREREZFkMdAQEREREZFkMdAQEREREZFkcVAAIiIiIiKSLJ6hISIiIiIiyWKgISIiIiIiyZKbu4CKrEqVKkhNTYWPj4+5SyEiIiIiKhPCwsJgZ2eHqKioQq3PMzRmlJqaCrVabdYaRFGERqMBb6WSBvaXtLC/pIX9JS3sL+lgX0lLWegvtVqN1NTUQq/PMzRmpD8zc/XqVbPVoFarERsbC6VSCYVCYbY6qHDYX9LC/pIW9pe0sL+kg30lLWWhv+rXr1+k9XmGhoiIiIiIJIuBhoiIiIiIJIuBhoiIiIiIJIuBhoiIiIiIJIuBhoiIiIiIJIuBhoiIiIiIJIuBhoiIiIiIJIuBhoiIiIiIJIuBhoiIiIiIJIuBhoiIiIiIJIuBhoiIiIiIJIuBhoiIiIiIJIuBhoiIiIiIJIuBhoiIiIiIJEtu7gLIfNQaEaeupCE8Ug1vjzS0aiiHQi6YuywiIiIiokJjoKmA1BoRa/fEYduBRMQkaP/fmg535xgM7O6EUYGuDDZEREREJAkMNBWMWiPi/QWPEHpOhWcjS0yCFst3xOHirXSsn+HJUENEREREZR7voalg1u6JQ+g5FQBAfGaZ/vGhsyqsC4kv1bqIiIiIiIqDgaYCUWtEbDuQmOPMzLMEANv2J0CteTbyEBERERGVLQw0FcjZ62mISdDmODPzLBHAkwQtzl5PK42yiIiIiIiKjYGmAklM0ZXo+kREREREpY2BpgJxsi9adxd1fSIiIiKi0sZPrBVI87o2cHOWFXgPDQC4O8vQvK5NiddERERERPQ8GGgqEIVcwKDuTgXeQwMATV6w5rDNRERERFTmMdBUMKMCXdGpuS0A5Hum5q/TqTh8PrV0iiIiIiIiKiYGmgpGIRewfoYnJg9Qws1ZZrTM0c4Cwv9Tjk4ExiyOxNW7GWaokoiIiIiocOTmLoBKn0IuYFyQK0b2ccGpy8kIj0yEt4cTWjV0wHcHE/HxV08AAKnpIoZ+9hA/BnujqrvCzFUTEREREeXEMzQVmEIuoFUDG3RspkCrBjZZ99j0cMb7vZwN60THazH0s0dITNGar1AiIiIiojww0FAO0we7oUdbe8PjW2GZGLU4EpnqwgwnQERERERUehhoKAcLCwHLPqiM5nWtDW3//JuG6asfQxQZaoiIiIio7GCgoVxZW1pgw0xPVPfMvncmJDQZK76LM2NVRERERETGGGgoTy6OMmz52BNKp+zR0L74Pg4//JloxqqIiIiIiLIx0FC+qnlYYuMsT1hbZs9aM3NNNP6+wDlqiIiIiMj8GGioQE1fsMbnk6sY5qjRaIHRi6Nw7R7nqCEiIiIi82KgoULp1toeH7/nbnickqbDu3MfITJGbcaqiIiIiKiiY6ChQhsa4Iz3ejobHkfFajB07iMkqzhHDRERERGZBwMNFcmsoW54tY2d4fGN+5kYvTgKag2HcyYiIiKi0sdAQ0ViYSFg5cQqaPpC9hw1Ry+qMHNNNOeoISIiIqJSx0BDRWZtZYGNszxQrUr2HDW7/krCF99zjhoiIiIiKl0MNFQsSic5tnziCReH7JfQiu/isPtQkhmrIiIiIqKKhoGGiq26pyU2fuQJq6fmqJn+5WMcv6QyY1VEREREVJEw0NBzeelFG6ycWNlojpqRiyJx8wHnqCEiIiKiksdAQ8/tNT8HzBrqZnicrNJhyKePEBWrMWNVRERERFQRMNCQSbzX0xlDejgZHkfGajB07kOkqHRmrIqIiIiIyjsGGjIJQRAw+z13vNIqe46a6/cyMXpJJOeoISIiIqISw0BDJiOTCfhichU0rm1laPv7ggqz13GOGiIiIiIqGQw0ZFI2VhbY9JEnfJ6ao2bnH0lYvSvejFURERERUXnFQEMm5+Ysx9ezPeH81Bw1S7+NxY+HOUcNEREREZkWAw2ViJpeltgw0xOWiuw5aqateox//uUcNURERERkOgw0VGJa1LPB8g8qGx6rNcCIRZG4FcY5aoiIiIjINCQdaEJCQtC6dWvY2dnBxcUFPXv2xJUrVwq17c2bNzF16lR06dIFSqUSgiBg2LBhBW63e/dudOzYEc7OzrCxsUGtWrUwZMiQ53wm5dfrLztg5pCn5qhJ1WHoZ48QHcc5aoiIiIjo+Uk20GzatAmBgYFITU3F4sWLMWvWLFy6dAl+fn64fPlygdufOHECS5cuxd27d9GiRYtCHXPMmDEICgqCo6Mj5s6di1WrVmHAgAF4+PDh8z6dcm14L2cMfC17jpqHTzR4d94jpKZxjhoiIiIiej5ycxdQHPHx8Zg0aRK8vLxw/PhxODo6AgCCgoJQr149TJgwAYcOHcp3HwEBAYiLi4OLiwvu37+P6tWr57v+9u3bsWbNGnz11VcYPny4yZ5LRSAIAj4Z7o7IGA3+PJMKALhyJwNjgyOxYZYn5DKhgD0QEREREeVOkmdo9u3bh6SkJAwbNswQZgDAx8cHffv2RWhoKMLDw/Pdh1KphIuLS6GPOXfuXDRu3NgQZpKTk6HT8QxDYcllAr6YUgWNamXPURN6ToWP13OOGiIiIiIqPkmeoTl16hQAwM/PL8cyPz8/bN26FWfOnIG3t7dJjnfr1i38999/GDNmDBYtWoQVK1YgOjoa1tbWeO2117B8+XL4+vrmu4/69evnaLtz5w5q1KgBtVptkjqLQ6PRQKvVQqMp+XtaFDJg3YfuCJoVhYjorOPtOJgETzcZRvR2KmBrAkq3v+j5sb+khf0lLewv6WBfSUtZ6C9RFCEIhb+CR5KBJiIiAgDg5eWVY5m+Tb+OKVy/fh0A8MMPPyA9PR2zZs1CnTp1EBoaii+//BKnTp3CxYsX4e7uXuR9a7VaxMbGmqzWotJoNEhOToYoipDLS/7lYAEgeLQlRizRIOn/Izgv/TYejtZp6NpSke+2VPr9Rc+H/SUt7C9pYX9JB/tKWspCf2m12iIdW5KvKpUq65OwlZVVjmXW1tZG65hCcnIyAODJkyc4ePAgunbtCgDo3bs3nJycMG/ePKxYsQILFizIcx9Xr17N0Va/fn2IogilUmmyWotKo9FAEAS4urqW2otWqQTWTk/HkM+ioP5/+J+7NR01qzmjZT3rUqlBqszRX1R87C9pYX9JC/tLOthX0lIW+ksmkxVpfUm+qmxtbQEAGRk55zNJT083WscUbGxsAACenp6GMKP37rvvYt68eQUOQpAXQRCgUJj3zIRMJoNcLi/VOto2VmDpBGDCsigAWXPUjFocjZDF3qjlbVlqdUiROfqLio/9JS3sL2lhf0kH+0pazN1fRbncDJDooAD5XVaW3+VoxaW/F8fDwyPHMn1bXFycyY5XUbzR3gHTBmafnUpK1WHIZw/xJIHX2BIRERFR4Ugy0LRs2RJA1lwyz9K3FXZumcJo2LAhbG1tcw1Q+tHUKleubLLjVSSjAl3Qv1v2SHUR0Rq8N/cRVOkcQY6IiIiICibJQNOrVy84ODhgw4YNSEpKMrSHhYVh165d8Pf3N5xVUalUuHHjBiIjI4t9PBsbGwQFBeHx48fYvXu30bLVq1cDAF5//fVi778iEwQBn42ohI4vZV8i+O/tDIxbGgWNlsM5ExEREVH+JHkPjYuLC4KDgzFy5Ei0bdsWI0aMQEZGBlatWgVBELBy5UrDuqdPn0bHjh0xePBgbNmyxdCemJiIVatWAQASEhIAABcvXsS8efMAAI0bN0ZAQIBh/QULFuDPP//EgAED8M8//6BOnTo4fPgwvv/+ezRp0gTjxo0r8eddXsllAr6c6oE3Z0Xgyp2s+6L+OpOKTzc8wWcj3It8HSURERERVRySDDQAMGLECCiVSgQHB2PatGmwtLREu3btMH/+fDRq1KjA7ePj4zF79myjtnPnzuHcuXMAgMGDBxsFGg8PD5w8eRIff/wxduzYgbi4OHh6emLSpEn45JNPTDoIQUVkZ2OBzR95ove0cDx8knUPzfZfE+FdWYH3exd+AlQiIiIiqlgkG2gAoG/fvujbt2++6/j7++c6E72vr2+RZ6ivWrUqNm3aVKRtqPAqucqx5WNP9JkegeTUrHtoFmyJgae7HK+/7GDm6oiIiIioLJLkPTRUftX2scL66R5QPBW1J618jDPX0sxXFBERERGVWQw0VOb4NbJF8LjsUeMy1SKGL3iEOxGZZqyKiIiIiMoiBhoqk3r5O2LKgOw5ahKSs+aoieEcNURERET0FAYaKrPG9HPBW69kz1ET/liD9+Y9QloG56ghIiIioiwMNFRmCYKAuSMroUOz7BHkLv2XgfHLoqDlHDVEREREBAYaKuMUcgGrp3qgXnUrQ9sfp1Ixd9OTIo9SR0RERETlDwMNlXn2thb4erYnPN2yhz7bsj8Rm35KMF9RRERERFQmMNCQJFRWyvH1x55wsM1+yc7/Oga//pNsxqqIiIiIyNwYaEgyXqhmhXXTPSCXZT0WReCDFY9x7jrnqCEiIiKqqBhoSFLaNrbF4rHZc9RkZIoYNv8R7j3iHDVEREREFREDDUlOYCdHTHzb1fA4PlmHoZ89Qmwi56ghIiIiqmgYaEiSxr/pin6ds+eouR+pxrD5kUjP0EGtEXHisgq/nUjBicsqqDUcDY2IiIiovJIXvApR2SMIAhaMroSoWA2OXlQBAC7cTMfrk8OQkKRDTKLWsK67swwDuzthVKArFHLBXCUTERERUQngGRqSLIVcwJoPq+BFX0tD2+1wtVGYAYCYBC2W74jDiIWPeLaGiIiIqJxhoCFJc7CV4evZnrC3yfulrI8wh86qsC4kvnQKIyIiIqJSwUBDkufmLIe8EBdPCgC27U/gWRoiIiKicoSBhiTv7PU0JCTrClxPBPAkQYuznLeGiIiIqNxgoCHJS0wpOMw8z/pEREREVHYx0JDkOdkX7WWcnsFAQ0RERFReMNCQ5DWvawM3ZxkKOyDzpJWPMWllFO5EZJZoXURERERU8hhoSPIUcgGDujuhsLf660QgJDQZXcY+wLilkbgVllGi9RERERFRyWGgoXJhVKArOjW3BYAcZ2r0jz3c5JA99YoXReDnoynoOi4MoxZF4updBhsiIiIiqWGgoXJBIRewfoYnJg9Qws1ZZrTMzVmGyQOU+Hu9Lw6v88WAV51gKTeOPb+eSEGPiWEYNu8RLv2XXpqlExEREdFzKMTsHUTSoJALGBfkipF9XHD2ehoSU3RwsrdA87o2UPw/wHhXVmD+qEoY288F60Pi8d0fScjIzL5Y7c8zqfjzTCo6NLPF+CBXvFTXxlxPh4iIiIgKgYGGyh2FXECbhrb5ruPhpsCc9ythdD9XbNgbj29+TURaRnawOXJehSPnVWjbyAbj3nRF6wb574+IiIiIzIOXnFGFVslFjllD3XFsgy9GBbrAztr4UrTj/6bhrVkPETQjHMcuqiCKhR16gIiIiIhKAwMNEQClkxwfDnLD8Y3VMT7IFQ52xm+N09fS8c4nD9HnwwiEnk1lsCEiIiIqIxhoiJ7i7CDDpAFKHPvKF5P6u+aYtPPCzXQMnfsIPSeH4/dTKQw2RERERGbGQEOUCyd7Gca/qcTxDdXx4SAlXB2NR067fCcD7y+IxGsfhGH/8WTodAw2RERERObAQEOUD3tbC4wKdMWxDb746F03uLsYB5sb9zMxZkkUuo0Pw74jSdBqGWyIiIiIShMDDVEh2FpbYNgbLji63hdzhrujitJ4gMD/wjMxYfljdBn7ALsPJUGtYbAhIiIiKg0MNERFYG1lgSGvO+PI+mqYP6oSqlYyDjb3Hqkx5fPH6DT6Pr77PRGZagYbIiIiopLEQENUDFYKCwx41QmH1/piybhKqFZFYbQ8/LEGM1ZHw3/kfWw/kID0TJ2ZKiUiIiIq3xhoiJ6DQi4gqIsT/lpTDSsmVkaNqsbB5lGMBrPXP0GHEfex+ed4pGUw2BARERGZEgMNkQnIZQJ6+zvij1XVsGpKFbxQzdJo+eM4LT7bGIN2w+9jfUg8UtMYbIiIiIhMgYGGyIRkMgEB7Rzw60ofrJvugXrVrYyWxyRqsXBrDF4efg+rd8UhWaU1U6VERERE5QMDDVEJsLAQ8Gobe+xf4Y1NH3mgcW3jYBOfrEPwN7FoO+w+VnwXi8QUBhsiIiKi4mCgISpBgiCgcwt77A32xtZPPNG8rrXR8qRUHT7fGYe2w+4jeHsM4pIYbIiIiIiKgoGGqBQIgoAOzeywa6EXdsytitYNbIyWp6TpsHp3PF4efg8Lt8TgSYImxz7UGhGnrqQh9Lwap66kca4bIiIiIgDyglchIlMRBAF+jWzh18gWZ66l4Yvv43D0osqwXJUuYv2P8di6PwH9uzlhRG8XuDrJsHZPHLYdSERMgv4MTjrcnWMwsLsTRgW6QiEXzPOEiIiIiMyMgYbITFrUs8H2T6viws10rPohFofOZgeb9EwRm39OwPZfE1DJRY6HTzR4NrLEJGixfEccLt5Kx/oZngw1REREVCHxkjMiM2v6gjU2z66Kn5d5o2srO6Nlag3w8EnW5WfPXmCmf3zorArrQuJLvlAiIiKiMoiBhqiMaFjLGl/N9MSvn/ugR1v7Qm8nANi2P4H31BAREVGFxEBDVMbU9bXC6mkeWDq+UqHWFwE8SdDi7PW0ki2MiIiIqAxioCEqo+xtZUVaPzFFV0KVEBEREZVdDDREZZSTfdHenkVdn4iIiKg84CcgojKqeV0buDnLcoxulhuZBWBvy7czERERVTz8BERURinkAgZ1d8oxullutDqg7/QIfP9HIkSRgwMQERFRxcFAQ1SGjQp0RafmtgCQ40zNs48zMkV8+GU0Jq98DFU676chIiKiioGBhqgMU8gFrJ/hickDlHBzNh4kwM1Zholvu+L93s5G7SGHk9FzcjhuhWWUYqVERERE5iE3dwFElD+FXMC4IFeM7OOCU5eTER6ZCG8PJ7Rq6ACFPOs8TZsGtpi4MgoJyVlnZm5HZKLn5HDMG1UJfTs5mrN8IiIiohLFMzREEqGQC2jVwAYdmynQqoGNIcwAQMfmdjiwwgfNXrA2tKVnipjy+WNM/eIx0jJ4CRoRERGVTww0ROWEp7sC3y/wwvu9nI3ad/2VhDemhON2eKZ5CiMiIiIqQQw0ROWIQi5g5lB3bJzlYTQvza2wTPScEoYfDyeZsToiIiIi02OgISqHurS0x/4VPmhc28rQpkoXMXHFY0z/8jHSeQkaERERlRMMNETllFclBXYt9Ma7Ac5G7Tv/SEKvaeG4+5CXoBEREZH0MdAQlWOWCgEfD3PHuukecLDLfrvfuJ+JgElh+OnvZDNWR0RERPT8JB1oQkJC0Lp1a9jZ2cHFxQU9e/bElStXCrXtzZs3MXXqVHTp0gVKpRKCIGDYsGGFPvbq1ashCAIEQUBERERxnwJRqXi1jT0OrPBBo1rZl6ClposYvywKs9ZGIz2Tl6ARERGRNEk20GzatAmBgYFITU3F4sWLMWvWLFy6dAl+fn64fPlygdufOHECS5cuxd27d9GiRYsiHTssLAzTp0+Hvb19ccsnKnXelRXYtcgLQ3o4GbV/+1siAj+MwP1IXoJGRERE0iPJQBMfH49JkybBy8sLx48fx9ixYzFlyhQcPXoUOp0OEyZMKHAfAQEBiIuLw927d7Fu3boiHX/EiBF48cUX0atXr2I+AyLzsFJYYM77lbBmWhU42Ga//a/ezcDrE8Ox/zgvQSMiIiJpkWSg2bdvH5KSkjBs2DA4OmbPgu7j44O+ffsiNDQU4eHh+e5DqVTCxcWlyMfetm0b/vjjD3z11VeQyWRF3p6oLOje1gE/L/dG/RrZl6ClpOkwZkkUPl4fjQw1L0EjIiIiaZCbu4DiOHXqFADAz88vxzI/Pz9s3boVZ86cgbe3t0mP+/jxY0ycOBETJ05E06ZNi7Rt/fr1c7TduXMHNWrUgFqtNlWJRabRaKDVaqHRaMxWAxWeKfurqpuA7+dVxoKt8dhxMPvMzLYDiTh/Iw2fT3aHT2XFcx+nIuP7S1rYX9LC/pIO9pW0lIX+EkURgiAUen1JBhr9TfheXl45lunbSuJG/bFjx8LJyQmffvqpyfap1WoRGxtrsv0VlUajQXJyMkRRhFwuyZdDhVIS/TW+D1DX2xoLt6dDlZHVduVuJt6Y8hAfDbaGf1OGmuLi+0ta2F/Swv6SDvaVtJSF/tJqtUU6tiRfVSqVCgBgZWWVY5m1tbXROqby448/Yvfu3Th48CBsbW2LvP3Vq1dztNWvXx+iKEKpVJqixGLRaDQQBAGurq78JSMBJdVfb70KtGqkxvhl0bjxIOuMYUoaMH1dOgb3UGDaO66wVBT+mxLKwveXtLC/pIX9JR3sK2kpC/1V1Ns6JPmq0geKjIyMHMvS09ON1jGFhIQEjBkzBgMGDEDXrl1Ntl8AEAQBCoV5vwGXyWSQy+Vmr4MKp6T6q041BfYG++DTTU/w3cEkQ/vW/cm4eCsTX071gDcvQSsyvr+khf0lLewv6WBfSYu5+6sol5sBEh0UIL/LyvK7HK24PvnkE0OouX37tuFfcnLWfQf379/H7du3IYqiyY5JZA7WVhZYOLoyVk6sDFvr7F8ml/7LQI+JYfjjVIoZqyMiIiLKSZKBpmXLlgCy5pJ5lr6tqHPL5OfBgwdIS0uDn58fateubfgXEhICAGjXrh1q166d6xkjIinq5e+In5b54IVqloa2pFQdhi+IxPyvn0CtYXgnIiKiskGSgaZXr15wcHDAhg0bkJSUfWlMWFgYdu3aBX9/f8MIZyqVCjdu3EBkZGSxj/fhhx9i165dOf75+/sDANavX49du3bB0tIy/x0RSUgtL0vsDfZGUBdHo/YNexMQNDMCD5+Yb3Q+IiIiIj1J3kPj4uKC4OBgjBw5Em3btsWIESOQkZGBVatWQRAErFy50rDu6dOn0bFjRwwePBhbtmwxtCcmJmLVqlUAsu6RAYCLFy9i3rx5AIDGjRsjICAAANCmTZtc6/jll18AAN27dzfpJW5EZYWNlQWWjKuMVvVt8NG6aKRlZJ2ZuXAzHT0mhmH5B1XQqbmdmaskIiKiikySgQYARowYAaVSieDgYEybNg2WlpZo164d5s+fj0aNGhW4fXx8PGbPnm3Udu7cOZw7dw4AMHjwYEOgIaroAjs5olEtK4xeEoX/wjMBAAnJOrw79xFG9nHB5AFKKOQcBY2IiIhKnyDyTnaz0U+2mduQzqVFrVYjNjYWSqWSI49IgLn7S5Wuw0frohESmmzU3ryuNVZNqQIPN76Gnmbu/qKiYX9JC/tLOthX0lIW+quon5EleQ8NEZmHrbUFlk2ojCXjKsHKMvuMzNnr6egxMRyHz6easToiIiKqiBhoiKhIBEFAUBcn7Av2Ro2q2d/cxCVpMeTTRwjeHgONlid+iYiIqHQw0BBRsbzoa4Wfl/mgVwcHo/bVu+Mx4OOHeByrMVNlREREVJEw0BBRsdnZWGDFxMpYOKYSLBXZl6CdupKG7hPDcPQiL0EjIiKiksVAQ0TPRRAEvN3VCXuDvVHdM/sStNhELQbNeYTlO2Kh5SVoREREVEIYaIjIJOpVt8JPy7zx+sv2hjZRBL74Pg4D5zxEdDwvQSMiIiLTY6AhIpNxsJVh1ZQqmDvSHZZPzUvzz79p6P5BGP75V2XG6oiIiKg8YqAhIpMSBAEDX3NGyBIv+FTJvgQtJkGLdz55iM938hI0IiIiMh0GGiIqEQ1qWuOX5d54rU32JWg6HbDiuzgM/vQhYhKyLkFTa0ScuKzCbydScOKyCmoNww4REREVntzcBRBR+eVoJ8OaD6tg24FEzNv8BOr/30Zz7FIaXpvwAP4v2SH0nAoxCVrDNu7OMgzs7oRRga5QPHXZGhEREVFueIaGiEqUIAgY3MMZexZ5w6tS9ncoTxJ02PVXslGYAbIuTVu+Iw4jFj7i2RoiIiIqEAMNEZWKRrWtsX+FD7q2sst3PX2EOXRWhXUh8SVfGBEREUkaAw0RlRonexm+nFoFdjYFX0omANi2P4FnaYiIiChfDDREVKrO3UhHalrBIUUE8CRBi7PX00q+KCIiIpIsBhoiKlWJKboirf/sPTZERERET2OgIaJS5WRftF87n26Ixne/J/LSMyIiIsoVAw0RlarmdW3g5ixDYQdkjknUYcbqaHQafR8//JkIDSflJCIioqcw0BBRqVLIBQzq7oSixpLwxxpMWxWNzqMfYM+hJAYbIiIiAsBAQ0RmMCrQFZ2a2wJAjjM1+scdX7LFqsmVUdvb0mj5gyg1Jn/+GK+MfYC9h5OgZbAhIiKq0BhoiKjUKeQC1s/wxOQBSrg5y4yWuTnLMHmAEl/N9ERAe0f89rkPvphcBTW9FEbr3XukxgcrHqPr+Af46e9k6HQMNkRERBWRvOBViIhMTyEXMC7IFSP7uODs9TQkpujgZG+B5nVtoJBnn7eRyQT0bO+AHm3t8fPRZHz+fRzuPVIblt+JUGP8sih8ucsSH7zlilfb2MPCorB36BAREZHUMdAQkVkp5ALaNLQtcD2ZTEAvf0e83s4B+44k44vv4/AgKjvY3ArLxOglUXjR1xIfvKVEt9Z2EAQGGyIiovKOl5wRkaTIZQICOzniz9XVsGRcJXhVMv5e5sb9TIxcFInXJ4Xjj1MpEEVeikZERFSeMdAQkSQp5AKCujjh0BpfLBxTCVXdjYPN1bsZGL4gEm9MCUfo2VQGGyIionKKgYaIJM1SIeDtrk44tLYa5o10h4fSONj8ezsDQ+c+Qu9pEThynsGGiIiovGGgIaJywUphgXdec0boumr49H13VHIxHj3t4q10DP70EfpOj8CxiyoGGyIionKCgYaIyhVrSwsM7uGMv9f74uNhbjmGhT53Ix3vfPIQb86MwInLKjNVSURERKbCQENE5ZK1lQXeDXDB0a988dG7blA6GQeb09fS8fZHD/HWrAicvppmpiqJiIjoeTHQEFG5ZmNlgWFvZAWb6YOVcHEw/rV38koagmZG4J2PI3DuOoMNERGR1DDQEFGFYGttgZF9XHH0q+qYOlAJJ3vjX3/HLqUhcHoEBs15iAs3081UJRERERUVAw0RVSj2thYY09cVxzb4YvIAJRztjH8N/n1Bhd7TwjH0s4f49z8GGyIiorKOgYaIKiQHWxnGBbni6Fe+mPCWKxxsjX8dhp5ToeeUcAyb/whX7jLYEBERlVUMNERUoTnZyzDxbSWObfDFuCBX2FkLRsv/PJ2K1yeGY8TCR7h+P8NMVRIREVFeGGiIiJAVbCYPUOLYhuoY3dcFts8Em4MnU/HahDCMXhyJmw8YbIiIiMoKBhoioqe4OMowbaAbjn7lixF9XGBjZRxsDvyTglcnhGHc0kjcDs80U5VERESkx0BDRJQLpZMcMwa74e+vfDHsDWdYWWYHG1EEfj6aglfGPcAHy6Nw92HOYKPWiDh1JQ2h59U4dSUNao1YmuUTERFVGHJzF0BEVJa5O8vx0bvueL+XC9aGxOPb3xKRqc4KJ6II7D2SjJ+OJqNXBweMf9MVVd0VWLsnDtsOJCImQfv/vaTD3TkGA7s7YVSgKxRyIe8DEhERUZEw0BARFUIlVzk+GeaOEb1dsGZ3HHb+noTM/5910emAkNBk7D2cjMquckTGavBsZIlJ0GL5jjhcvJWO9TM8GWqIiIhMhJecEREVQRWlHJ+NqITD66phwKtOUDz1tZBOBCJjNQCAZy8w0z8+dFaFdSHxpVIrERFRRcBAQ0RUDJ7uCswfVQmha33xdldHyAr521QAsG1/Au+pISIiMhEGGiKi5+BVSYGFYypj+QeVC7W+COBJghZnr6eVbGFEREQVBAMNEZEJWFkW7ddpdLymhCohIiKqWBhoiIhMwMm+aL9OZ66OxuJtMYiMUZdQRURERBUDAw0RkQk0r2sDN2dZjtHN8pKaLmLtnni8PPw+xi2NxIWb6SVaHxERUXnFQENEZAIKuYBB3Z1yjG5WEK0ua5LO3tPC0XtaOH4+mswBA4iIiIqAgYaIyERGBbqiU3NbAMhxpkb/uFNzW3w3rypea2MPi2d+A1+4mY5xS6PQ/v37WLsnDgnJWhAREVH+OLEmEZGJKOQC1s/wxLqQeGzbn4AnCdmBxM1ZhkE9nDGyjwsUcgFtGtoi/LEa2w4kYOfvSUhW6QzrRsZqsHhbLL74Pg6BnRwx5HVn1PKyNMdTIiIiKvMYaIiITEghFzAuyBUj+7jg1OVkhEcmwtvDCa0aOkAhNz5v411ZgVlD3THhTSV2H0rC1z8n4EFU9iABaRkivvk1Ed/8mgj/l2zxboAz2jWxhSAU9k4dIiKi8o+BhoioBCjkAlo1sEEtDxWUSpscYeZp9rYWGPK6Mwa+5oTQc6nY/HMC/vnXeJ6aw+dUOHxOhdrelhga4Ize/g6wseJVw0RERPxrSERURshkArq0tMeOuV749XMfBHVxhKXCOAj9F56JmWui4ffePQRvj0FULOezISKiio2BhoioDKrra4Ul4yrjn42+mPi2K9ycZUbL45N1WL07Hi8Pv4cJy6Jw6T8O+0xERBUTAw0RURnm5izHhLeUOL7RF8smVEa96lZGyzVaYN/fyXhjSjgCPwzH/uPJ0Gg57DMREVUcvIeGiEgCrBQWCOzkiD4dHXD6Wjo27YvHH6dTIT6VXc7dSMe5G1Go6i7H4B7OePMVRzjZy/LeKRERUTnAMzRERBIiCAJa1bfBVzM9cWSdL94NcIa9jfGv8odPNFiwJQZt3ruHj9dH4+7DTDNVS0REVPIYaIiIJMqnigIfD3PHic2++HiYG3yqKIyWq9JFbDuQiE6jH+DduQ9x7KIKosjL0YiIqHzhJWdERBLnYCvDuwEuGNzdGX+dTcWmnxJw6orxsM+Hzqpw6KwKdXws8W6AM3p1cIA1h30mIqJygH/NiIjKCZlMQNdW9vh+vhd+WeGNwE4OsHxm/ptbYZmYvjoafsPuY9m3sXjMYZ+JiEjiJB1oQkJC0Lp1a9jZ2cHFxQU9e/bElStXCrXtzZs3MXXqVHTp0gVKpRKCIGDYsGG5rpueno6NGzeiT58+qFmzJmxsbODt7Y3u3bsjNDTUlE+JiMgkGtSwxrIJVXBsoy8mvOUKpZPx4ABxSVqs+iEOL79/DxNXROHybQ77TERE0iTZQLNp0yYEBgYiNTUVixcvxqxZs3Dp0iX4+fnh8uXLBW5/4sQJLF26FHfv3kWLFi3yXff+/fsYPnw4oqKiMGjQIKxevRrDhg3DxYsX0alTJyxZssRUT4uIyKQqucgx8e2sYZ+Dx1fGi76WRsvVGuDHw8kImByOfjPC8es/HPaZiIikRRAleIdofHw8fH194ejoiKtXr8LR0REAEBYWhnr16qFly5Y4dOhQvvuIjY2FhYUFXFxccP/+fVSvXh3vvfceNm7cmOu6Dx48QLNmzYzaIyMj0aBBA6SkpCAqKgouLi5Feh7169cHAFy9erVI25mSWq1GbGwslEolFApFwRuQWbG/pKUs9pcoijh5JQ2bfkrAX2eMh33Wq1pJjiH/H/bZ0c74zI5aI+Ls9TQkpujgZG+B5nVtoHjmsjapKov9RXljf0kH+0paykJ/FfUzsiQHBdi3bx+SkpIwadIkQ5gBAB8fH/Tt2xdbt25FeHg4vL2989yHUqks9PGUSmWu63t4eKBDhw748ccfcfPmTbRu3bpoT4SIqJQJgoA2DW3RpqEt7kdmYssvidj1ZyJS07OTzcNoDeZ/HYOV38WiX2dHDH7dGV6VFFi7Jw7bDiQiJkFrWNfdWYaB3Z0wKtC13AQbIiKSFkkGmlOnTgEA/Pz8cizz8/PD1q1bcebMmXwDjak8fPgQAFC5cuV819MnzafduXMHNWrUgFqtLpHaCkOj0UCr1UKj4Y3BUsD+kpay3l9V3QTMGuKM8f0csftQMrb9moyI6OxaU9NFbNmfiC37E6F0skBsog7PRpaYBC2W74jD+RtpWDOtkqRDTVnvLzLG/pIO9pW0lIX+EkURglD4vyeSDDQREREAAC8vrxzL9G36dUrSzz//jNOnT6NDhw6oXr16sfah1WoRGxtr4soKT6PRIDk5GaIoQi6X5MuhQmF/SYuU+qunH9CjtTX+vqjB93+pcfG21mh5bKIOAPDsFWr6x4fPp2Hljki828Oq5IstIVLqL2J/SQn7SlrKQn9ptdoiHVuSryqVSgUAsLLK+YfT2traaJ2Scu3aNQwaNAguLi7YvHlzgevndg1g/fr1IYpikS5/MzWNRgNBEODq6spfMhLA/pIWKfZX31ey/l25k4Gt+5Pwy/FUaLQFbycACPlbiw/6S/fSMyn2V0XG/pIO9pW0lIX+kslkBa/0FEm+qmxtbQEAGRkZOZalp6cbrVMSbt68ic6dO0On0+HgwYOoUaNGsfclCILZb5CTyWSQy+Vmr4MKh/0lLVLtr6YvKtD0RXt0a5OMUYujClxfRNblZ5dua9CmYcn9/i1pUu2vior9JR3sK2kxd38V5XIzQKLDNud3WVl+l6OZwrVr1+Dv74/09HT88ccfHAiAiMq1ov5RSUzRlVAlREREuZNkoGnZsiWArLlknqVvK2humeK4cuUKOnbsiMzMTPz111+GOoiIyisn+6L9mSjq+kRERM9Lkn95evXqBQcHB2zYsAFJSUmG9rCwMOzatQv+/v6GEc5UKhVu3LiByMjI5zrmv//+i44dO0Kn0+HQoUM55qQhIiqPmte1gZuzLMfoZrmRy4DqHrychIiISpck76FxcXFBcHAwRo4cibZt22LEiBHIyMjAqlWrIAgCVq5caVj39OnT6NixIwYPHowtW7YY2hMTE7Fq1SoAQEJCAgDg4sWLmDdvHgCgcePGCAgIAJAVlDp16oTY2FhMnz4dly9fxuXLl41qeuWVVwocupmISGoUcgGDujth+Y64AtfVaIHA6RHY+JEn6vpKd7QzIiKSFkkGGgAYMWIElEolgoODMW3aNFhaWqJdu3aYP38+GjVqVOD28fHxmD17tlHbuXPncO7cOQDA4MGDDYHm7t27hqGVFy1alOv+QkNDGWiIqFwaFeiKi7fSceisCgKMh25+9vHDJxoEfhiOlZOqoGsr+9ItlIiIKiTJBhoA6Nu3L/r27ZvvOv7+/hDFZ2dOAHx9fXNtL8o+iIgqAoVcwPoZnlgXEo9t+xPwJCF7HGc3ZxnefMURV+6k4/D5NACAKl3EiIWRmDZQiZF9XIo8sAAREVFRSDrQEBFR6VDIBYwLcsXIPi44ez0NiSk6ONlboHldGyjkArRaEYu2xWDD3gQAgCgCi7fF4r/wTCwYXQnWlpK8ZZOIiCSAgYaIiApNIRdynWdGJhMwa6g7antbYtbaaKg1We0hocm4/0iN9TM94O7MPzlERGR6/MqMiIhMJqiLE779zAuujtmzPJ+/mY5eU8Jx7V7OyZCJiIieFwMNERGZVMv6Nti31Bt1fCwNbQ+faNB3ejh+P5VixsqIiKg8YqAhIiKT866swJ7FXujUPPvyNP1gAWt2x3GgFSIiMhkGGiIiKhEOtjJsmOmJ93s5G9pEEViyPRaTVz5GeqbOfMUREVG5Uaw7ND/77DNT1wF/f3+0b9/e5PslIiLzkckEzBzqjlrPDhZwOBn3ItX4ioMFEBHRcyrWX5E5c+aYtAj9HAUMNERE5VNQFydU97TEiIWRiEvKmsfmws10vDE5HBs/8kS96lZmrpCIiKSq2IGmadOmcHR0NFkhvr6+JtsXERGVPS3qZQ0WMGz+I9x8kAkAeBSTNVjAiolV0K21vZkrJCIiKSp2oBk6dCg2bdpk6nqIiKgc866swO5FXvhg+WP8dSYVQPZgAVMHKjE60MVw1p6IiKgwijUogCAIRiPUNG3aFGvXrjVZUUREVH452Mrw1QwPjOjtYtQevD0WkzhYABERFVGxAo2joyNiY2MNjy9duoQzZ86YrCgiIirfZDIBM4a4IXh8ZSieulbgx8PJePujh4iO15ivOCIikpRiBZoGDRrgr7/+wj///GPqeoiIqALp19kRO+Z6wdVRZmi7cDMdvaaE4+rdDDNWRkREUlGsQDN27FioVCq0a9cO9evXBwDcvn0bR48eRVJSkkkLJCKi8k0/WMAL1SwNbfrBAg6eTDFjZUREJAXFCjRvvvkmvvnmG9SpUwfXr1+HIAg4fvw4/P394eLigtq1ayMoKAgLFy7EwYMHER0dbeq6iYioHPGurMCeRd7o0sLO0JaWkTVYwOrdcUb3bRIRET2t2LOZ9e/fH/3798eDBw9QvXp11K9fH7Vq1cL58+dx584d3LlzB7t37zaMVlOlShU0a9YMzZo1w6effmqyJ0BEROWDva0F1s/wwJJvYrE+JN7QHrw9Fv+FZWLR2EqwtizW93BERFSOPfdfhmrVqgEAWrRogR9//BEPHjxATEwMfv/9dyxatAj9+vVDrVq1EBUVhf3792PevHnPXTQREZVPMpmAGYNzDhaw9wgHCyAiotwV+wzN0y5dugS1Wm147Orqii5duqBLly6GtpSUFFy4cAEXLlwwxSGJiKgc69fZEdU9FRixMBKxiVoA2YMFbJjlifo1rMxcIRERlRXFOkMTFhZm9Lhhw4Zo1qxZvtvY29ujXbt2GD9+fHEOSUREFUzzujbYG+yNF3MZLOC3ExwsgIiIshQr0Pj6+qJ58+aYN28eLl++bOqaiIiIAGQNFrA7l8ECRi6KxOpdHCyAiIiKGWj69OmDmzdv4uOPP0aTJk1Qq1YtTJ06FceOHeMfFyIiMin9YAEj+rgYtQd/E4uJKx4jPVNnpsqIiKgsKFag2b17N2JiYrBv3z4MGTIEycnJWLZsGTp06IAqVarg/fffx/79+5GZmWnqeomIqALSDxawdEJlWMoFQ/veI8l4axYHCyAiqsiKFWiOHj0KtVqNgIAAbNq0CVFRUTh8+DAmTJgABwcHbNy4ET179oSbmxuCgoKwY8cOJCYmmrp2IiKqYPp2csSOeVWhdJIZ2i7eyhos4OrdDDNWRkRE5lKsQNOhQwdMmDDB8FgQBLRv3x7Lly/H7du3cenSJXz88ceoWbMmdu/ejYEDB6JSpUro1q0b1q5di0ePHpnsCRARUcXSvK4N9i3lYAFERJSlWIFGEASje2WaNm2KtWvXGh43bNgQn3zyCS5cuID79+9j+fLl8PPzw6FDhzBmzBh4e3vjiy++eP7qiYioQvKq9P/BAlrmHCzgyx84WAARUUVSrEDj6OiI2NhYw+NLly7hzJkzua7r4+ODCRMmIDQ0FI8fP8bmzZvRs2dP3l9DRETPxd7WAuune2DkM4MFLP2WgwUQEVUkxQo0DRo0wF9//YV//vmnSNu5urpiyJAh+PHHHzFlypTiHJqIiMhAJhMwfbAblnGwACKiCqtYgWbs2LFQqVRo164d6tevDwC4ffs2jh49iqSkJJMWSEREVJDATo74LpfBAt6YHI4rd9PNWBkREZW0YgWaN998E9988w3q1KmD69evQxAEHD9+HP7+/nBxcUHt2rURFBSEhQsX4uDBg4iOjjZ13UREREZe0g8W4Js9WEBkrAb9pkdwsAAionKsWIEGAPr374/r16/j3r17EEUR9erVQ8+ePeHl5YU7d+5g9+7dmDVrFrp37w4PDw9UrVoVAQEB+OSTT0xZPxERkYFXJQX2cLAAIqIKpdiBRq9atWoAgBYtWuDHH3/EgwcPEBMTg99//x2LFi1Cv379UKtWLURFRWH//v2YN2/ecxdNRESUFzsbC3w1I/fBAj5Y/hjpGRwsgIioPJGbYieXLl2CWq02PHZ1dUWXLl3QpUsXQ1tKSgouXLiACxcumOKQREREebKwyBosoLa3JWasjkamJuvMzL6/k3E/MhMbZnqikqtJ/gQSEZGZPfcZGiBr3plmzZrlu469vT3atWuH8ePHm+KQREREBdIPFuD21GABl/7LwBtTjAcLUGtEnLqShtDzapy6kga1hpemERFJRal+PZWQkIAdO3Zg9OjRpXlYIiKqwF6qa4O9S70xbP4j3LifNQeafrCApeMr487DTGw7kIiYBO3/t0iHu3MMBnZ3wqhAVyieGg6aiIjKHpOcocmPTqfDgQMHEBQUBA8PD4wbN66kD0lERGREP1jAK62MBwsYExyF5TviEGsIM1liErRYviMOIxY+4tkaIqIyrsQCzbVr1zBt2jR4e3sjICAAu3fvRkZGRkkdjoiIKF92NhZYP90DowJdcix7NrLoHx86q8K6kPgSr42IiIrPpIEmISEBa9asQcuWLdGwYUMsW7YMkZGRqFKlCqZMmWKYhJOIiMgcLCwEfDjIDcHjKhVqfQHAtv0JPEtDRFSGPfc9NDqdDr/99hu2bNmCn3/+GZmZmRBFETY2NujVqxcGDRqEV155BRYWFjhz5owpaiYiInouXpUVhVpPBPAkQYuz19PQpqFtyRZFRETFUuxAc+3aNWzZsgXffvstoqKiIIoiBEFAu3btMGjQIPTr1w8ODg6mrJWIiMgkElOKNhdNUdcnIqLSU6xA07JlS5w7dw4AIIoiatasiUGDBmHgwIHw9fU1ZX1EREQm52RftCuu7W040hkRUVlVrEBz9uxZCIIAT09PbNq0CV27djV1XURERCWmeV0buDnLEJugzTEgQG5mrInGxLeVeKO9A2QyhhsiorKkWIMC2NraQhRFPHr0CIGBgRg8eDD++usvU9dGRERUIhRyAYO6OxUqzABA+GMNJq18jG7jw7D/eDJ0Og4SQERUVhQr0Dx+/BibNm1Cu3btoFKpsH37dnTt2hXe3t6YMWMGrl27Zuo6iYiITGpUoCs6Nc+60f/Zcy76x7bWxktuR2RizJIo9JgUhj9Pp0AUGWyIiMytWIHGzs4OQ4cOxeHDh3H79m3Mnj0bPj4+ePjwIZYsWYKGDRuiRYsWWLVqFWJiYkxdMxER0XNTyAWsn+GJyQOUcHOWGS1zc5Zh8gAlzm+rgRUTK6NaFeNR0a7fy8Sw+ZHoNTUcf19IZbAhIjIjQTThb+HQ0FB8/fXXCAkJgUqlgiAIkMvlePXVVzFw4ECsWLECJ0+ehFarLXhnFYB+Xp6rV6+arQa1Wo3Y2FgolUooFIUbxpTMh/0lLewv6VBrRJy6nIzwyER4ezihVUMHKOSC0fI9h5LwxfdxeBSjybF9y3rWmPyOG1rVtynNsis0vr+kg30lLWWhv4r6GdmkgUYvJSUF33//PbZs2YLjx49nHUjI/sPAQJOFgYaKiv0lLewvaSlMf2Woddj5exK+3BWHJ/E5/5a1a2KLSf2VaPqCdUmXW+Hx/SUd7CtpKQv9VdTPyMW65Kwg9vb2eO+993D06FHcvn0bs2bNgre3N0/JExGRpFkpLDC4hzP+Xu+LWUPd4OpofKna0Ysq9J4WjmHzHuHq3QwzVUlEVLGUSKB5Wo0aNTB37lzcu3cPv//+O/r371/ShyQiIipRNlYWGN7LBX+v98WUAUo42Bn/Of3zTCp6TAzD6MWR+C+MwYaIqCSVeKDREwQBXbp0wfbt20vrkERERCXK3tYCY4NccewrX4wLcoXdM6OiHfgnBV3Hh2Hiiijcj8w0U5VEROVbqQUaIiKi8srJPmtUtL+/8sX7vZxhZZkdbEQR+PFwMjqPfoDpXz7GwydqM1ZKRFT+yIuz0WeffWbqOuDv74/27dubfL9ERESlRekkx8yh7hj2hgvW7I7DjoNJyNRk3T+q1QE7/0hCSGgy3u7miDF9XVHJtVh/homI6CnF+k06Z84ckxahHwGNgYaIiMqDSq5yzHm/Eob3dsGXP8Thhz+ToNVlLcvUiNi6PxE7/0jCoO5OGNnHBUonBhsiouIq1m/Q0NBQU9cBX19fk++TiIjInKq6K7BwTGWM7OOCz7+Pw94jydD9P9hkZIrYsDcB3/6WiHcDnDG8lwuc7GX575CIiHIoVqDp0KGDqesgIiIqt6p5WGL5B1UwOtAVK76Lxf7jKYZlqnQRX+6Kx9YDiXi/lwuGvu4Me1ve4kpEVFj8jUlERFRKanlbYvU0DxxY6YMuLe2MliWn6rDs21i0e/8evvoxHmkZOjNVSUQkLQw0REREpaxedStsnOWJvcHeaN/U1mhZfLIOC7bEoP2I+9jySwIy1Aw2RET5YaAhIiIykyZ1rLFtTlX8sMALLevbGC17Eq/FnA1P0HHkA3z3eyLU/x8tjYiIjEk60ISEhKB169aws7ODi4sLevbsiStXrhRq25s3b2Lq1Kno0qULlEolBEHAsGHD8t3mwYMH6N+/P9zd3WFjY4MmTZpg48aNpngqRERUgbWsb4Pv51fFN59WRZM61kbLHsVoMGN1NDqPeYCQ0CRotQw2RERPk2yg2bRpEwIDA5GamorFixdj1qxZuHTpEvz8/HD58uUCtz9x4gSWLl2Ku3fvokWLFgWuHxERgdatW2Pv3r0YPnw4vvjiC3h5eWH48OH49NNPTfGUiIioAhMEAS83scWPS7yw6SMP1KtuZbQ8LEqNSSsfo+v4B/jlWDJ0OgYbIiKgmKOcmVt8fDwmTZoELy8vHD9+HI6OjgCAoKAg1KtXDxMmTMChQ4fy3UdAQADi4uLg4uKC+/fvo3r16vmuP3PmTERFRWHPnj3o06cPAGD48OHo2bMn5s2bh4EDB6JGjRqmeYJERFRhCYKAzi3s0fElO/x2IgUrvovDf+GZhuV3ItQYGxyFF30tMbm/El1a2hnmcyMiqogkeYZm3759SEpKwrBhwwxhBgB8fHzQt29fhIaGIjw8PN99KJVKuLi4FOp4KpUKu3fvRvXq1Q1hRm/SpEnQaDTYsWNH0Z8IERFRHiwsBHRv64DfPvfByomVUa2Kwmj5jfuZGL4gEr2mhuPvC6kQxZxnbNQaEScuq/DbiRScuKzifThEVC5J8gzNqVOnAAB+fn45lvn5+WHr1q04c+YMvL29TXK8y5cvIy0tDW3atMmxrE2bNhAEAadPnzbJsYiIiJ4mkwno5e+IHi87ICQ0CV98H4eHTzSG5Zf+y8CgOY/Qsp41Jr/jhlb1baDWiFi7Jw7bDiQiJkFrWNfdWYaB3Z0wKtAVCjnP6hBR+SDJQBMREQEA8PLyyrFM36Zfp6SPZ2VlBTc3twKPV79+/Rxtd+7cQY0aNaBWq01TaDFoNBpotVpoNJqCVyazY39JC/tLWqTQX338bdGjrQ12/ZmMtSGJiI7PDiunr6XjzZkRaN3QChmZwIWbGXg2ssQkaLF8RxzO30jDmmmVJB1qpNBflIV9JS1lob9EUSzSpbSSDDQqlQpAVph4lrW1tdE6JX08/TGLezytVovY2Nhi1/a8NBoNkpOTIYoi5HJJvhwqFPaXtLC/pEVK/fVaS6BjExuEHFFj22+ZSEjJvpTs5OUMw/+fvcBM//jw+TSs3BGJd3vk/ndNCqTUXxUd+0paykJ/abXaIh1bkq8qW9usScgyMjJyLEtPTzdap6SPpz+mm5tbvvu4evVqjrb69etDFEUolcrnL7KYNBoNBEGAq6srf8lIAPtLWthf0iLF/hr3FjD0DR22H0jCxp+SkJRauEk4BQAhf2vxQX/pXnomxf6qqNhX0lIW+ksmkxVpfUm+qp6+rKxu3bpGy/K7PMwUx3tWRkYGYmJi0Lp162LtWxAEKBSKglcsQTKZDHK53Ox1UOGwv6SF/SUtUuwvFwUw/i13DH7dFZ9ueIKQw8kFbiMi6/KzS7c1aNPQdF8AljYp9ldFxb6SFnP3V1FHbpTkKGctW7YEkDWXzLP0bYWZW6awGjZsCGtr61yPd/LkSYiiaKiJiIjIHJzsZeja2r5I28QlaQteiYiojJNkoOnVqxccHBywYcMGJCUlGdrDwsKwa9cu+Pv7G0Y4U6lUuHHjBiIjI4t9PFtbWwQGBuLevXsICQkxWrZs2TLI5XK8/fbbxd4/ERGRKTjZF+3P+qw10Vi0NQZ3IjILXpmIqIyS5CVnLi4uCA4OxsiRI9G2bVuMGDECGRkZWLVqFQRBwMqVKw3rnj59Gh07dsTgwYOxZcsWQ3tiYiJWrVoFAEhISAAAXLx4EfPmzQMANG7cGAEBAYb1FyxYgD///BMDBw7EuXPnUL16dezbtw+//PILZs+ejZo1a5b48yYiIspP87o2cHOWITZBm2NAgNwkpOiwLiQe60Li0ewFa/Tr4ojXX7aHg23Rrl8nIjInSQYaABgxYgSUSiWCg4Mxbdo0WFpaol27dpg/fz4aNWpU4Pbx8fGYPXu2Udu5c+dw7tw5AMDgwYONAo2Pjw9OnDiBmTNnYv369UhJSUGdOnWwfv16vP/++6Z9ckRERMWgkAsY1N0Jy3fEFXnb8zfTcf5mOj7d8ASv+dmjX2dHtG5gAwsLaQ4aQEQVhyDmNrUwlQr93DS5jYBWWtRqNWJjY6FUKnmjngSwv6SF/SUt5aW/1BoRIxY+wqGzKggwHrpZ/7jjS7Z45zUn/Hg4Gb+fSkWmOvePAl6V5Ojb2RGBHR3hXbls/UzKS39VBOwraSkL/VXUz8iSPUNDREREOSnkAtbP8MS6kHhs25+AJwnZN/67OcswqIczRvZxgUIuoHMLeyQka/HT38nY9VcSLt8xnp4gIlqDld/FYeV3cfBrZIN+nR3xaht72FhJ8hZcIiqnGGiIiIjKGYVcwLggV4zs44Kz19OQmKKDk70Fmte1yTHvjLNDVsgZ1MMZN+5nYNdfSdh7JBmxicYjoP3zbxr++TcNH69/gtdftke/Lo5oWse6yMOrEhGZGgMNERFROaWQC0WaZ+ZFXyvMfs8dHw5yQ+i5VOz6KwmhZ1OhfWq+zmSVDt/9noTvfk9CTS8F+nV2RB9/R1Ry5UcKIjIP/vYhIiIiI5YKAd1a26Nba3s8SdBg7+GsS9JuhRkP73wnQo1FW2MRvD0WHZrZol9nR3RuYQ9LBc/aEFHpYaAhIiKiPLk7yzG8lwuGveGMf29n4Ic/k/DT0WQkp2afttHqgENnVTh0VgUXBwu80cER/To7on4NKzNWTkQVBQMNERERFUgQBDSubY3Gta0x+103HDyVit1/JeHYJRWeHi81PlmHLb8kYMsvCahX3QpBXRzxRnsHuDhybhsiKhkMNERERFQk1lYWeKO9A95o74CHT9QICc26JC0sSm203rV7GZiz4QkWfB2DLi3t0K+zI9o1tYVcxkvSiMh0GGiIiIio2Kq6KzAuyBVj+rrg9LU07PorCQeOpyAtI/u0TaZGxIF/UnDgnxRUcpGhT8esS9JqelmasXIiKi8YaIiIiOi5WVgIaN3AFq0b2OLT4Toc+CfrrM2Za+lG60XHa7EuJB7rQuLR7AVr9OviiNdftoeDLS9JI6LiYaAhIiIik7K3tUBQFycEdXHCvUeZ2P1XEvaEJiMqVmO03vmb6Th/Mx2fbniC1/zs0a+zI1o3sIGFBS9JI6LCY6AhIiKiElPd0xJTB7phUn8ljl5SYdefSfjjVCoyNdmXpKVnivjxcDJ+PJwMr0py9O3siMCOjvCurMh1n2qNiFNX0hAeqYa3RxpaNZTnmDCUiCoOBhoiIiIqcTKZAP9mdvBvZoeEZC1++jvrkrTLdzKM1ouI1mDld3FY+V0c/BrZoF9nR7zaxh42VhZQa0Ss3ROHbQcSEZOg/f8W6XB3jsHA7k4YFejKYENUATHQEBERUalydpBhUA9nDOrhjBv3M7DrryTsPZKM2ESt0Xr//JuGf/5Nw8frn6B7Wzv8F67G+RvpeDayxCRosXxHHC7eSsf6GZ4MNUQVjIW5CyAiIqKK60VfK8x+zx0nNlXH+hke6NLSDrJnPp0kq3T4/o9knL+RNcCA+Mw+9I8PnVVhXUh8iddMRGULAw0RERGZnaVCQLfW9tg4yxMnNlfHzCFuqO1dtGGdBQDb9idArXk28hBRecZAQ0RERGVKJRc53u/tgt9X+WBvsDe6tLAr1HYigCcJWpy9nlayBRJRmcJAQ0RERGWSIAhoUscafTs7Fmm7xBRdCVVERGURAw0RERGVaU72Rfu4YsFPN0QVCt/yREREVKY1r2sDN2dZjtHN8jL1iyjs/D0ROh3vpSGqCBhoiIiIqExTyAUM6u6UY3SzvCSmiJi+OhqB0yNw5W56idZGRObHQENERERl3qhAV3RqbgsAOc7U6B+7OcuM2i/cTEfPyeGYs+EJklK1IKLyiYGGiIiIyjyFXMD6GZ6YPECZI7i4OcsweYASJzZVx+bZnvCunD1vuE4HbPklAZ3HPMC+I0kQRV6GRlTeyAtehYiIiMj8FHIB44JcMbKPC05dTkZ4ZCK8PZzQqqEDFPKs8zSdmtvBr2E1rNkdj3Uh8cj8/5w0T+K1mLD8MXb+kYS5IyqhVhHnuCGisotnaIiIiEhSFHIBrRrYoGMzBVo1sDGEGT1rKwtMGqDEb1/4oF0TW6NlJy6n4bUPHmDJ9hio0jm8M1F5wEBDRERE5VKNqpbYNscTq6dVQWXX7MvU1Bpgze54vDL2AX4/lcLL0IgkjoGGiIiIyi1BENCjrQP+Wu2LYW84Q/bUJ5+HTzR4f0Ekhs2PRPhjtfmKJKLnwkBDRERE5Z69rQU+etcdv6zwQfO61kbL/jqTii5jH2DVD3HIUPMyNCKpYaAhIiKiCqOurxV+WOCF4PGV4eqYfRlaRqaIZd/G4rXxYTh6MdWMFRJRUTHQEBERUYViYSGgX2dHHFpTDf27OUJ4akyBu4/UGPjJI4wNjkRUrMZ8RRJRoTHQEBERUYXk7CDDgtGV8eMSbzSoaWW07JdjKeg8+j427ouHRstBA4jKMgYaIiIiqtCa1LHGvmBvfPa+Oxzssj8apaaLmLc5Bq9PCsPZ62lmrJCI8sNAQ0RERBWeTCZgUA9n/LW6Gnr7Oxgtu3E/E32nR2DqF48Rm8jL0IjKGgYaIiIiov+r5CLHiolV8N28qqjtbWm0bNdfSeg0+gF2HEyETsfL0IjKCgYaIiIiome0aWiL/St8MH2wEjZW2aMGJKboMHNNNHpPC8eVO+lmrJCI9BhoiIiIiHJhqRAwso8r/lxdDd1a2xktu/RfBnpOCccnX0UjMUVrpgqJCGCgISIiIspXVXcF1s/wxNezPeFTRWFo1+mArfsT0XnMA+w9nARR5GVoRObAQENERERUCB2b2+H3L3ww/k1XWMqzL0OLSdDigxWP8fZHD/FfWIYZKySqmBhoiIiIiArJ2soCk/orcXCVD9o1sTVadvJKGl77IAyLtsZAla4zU4VEFQ8DDREREVERVfe0xLY5nlgzrQqqKOWGdo0WWBcSjy5jHuC3Eym8DI2oFDDQEBERERWDIAjo3tYBf35ZDcN7OUP21KeqRzEajFwUiXfnPkJYlNp8RRJVAAw0RERERM/B3tYCs4a6Y/8KH7SoZ220LPScCq+Me4Avvo9FeiYvQyMqCQw0RERERCbwoq8VfljghaUTKkPpJDO0Z2SKWL4jDq+OD8PfF1LNWCFR+cRAQ0RERGQigiCgbydHHFpTDe+85gQhezA03I9UY9CcRxizJBKRMbwMjchUGGiIiIiITMzJXoZ5Iythb7A3Gta0Mlq2/3gKOo95gA1746HWZA8aoNaIOHFZhd9OpODEZZXRMiLKm7zgVYiIiIioOBrXtsbeYG/s+D0RS7bHIjk16z4aVbqI+V/HYPehJMwZ7o4z19Kw7UAiYhK0hm3dnWUY2N0JowJdoXhq3hsiMsYzNEREREQlSCYTMPA1ZxxaUw19OjoYLbv5IBNvf/QQy3fEIfapMANkTdi5fEccRix8xLM1RPlgoCEiIiIqBe7Ociz/oAq+X+CFOj6WOZY/G1n0jw+dVWFdSHyJ10ckVQw0RERERKWoVX0b7F/hgw8HKQu1vgBg2/4EnqUhygMDDREREVEpU8gFNKljXfCKyDpT8yRBi7PX00q2KCKJYqAhIiIiMoPElKJNtFnU9YkqCgYaIiIiIjNwsi/ax7Cirk9UUfCdQURERGQGzevawM1ZhsIMyOxoZ4HmdW1KvCYiKWKgISIiIjIDhVzAoO5OOUY3y02ySofdh5JKvCYiKWKgISIiIjKTUYGu6NTcFgDyPVMjisCM1dH4fGcsRJGjnRE9jYGGiIiIyEwUcgHrZ3hi8gAl3JxlRsvcnWV4pZUdhKeSzorv4vDRuifQahlqiPTk5i6AiIiIqCJTyAWMC3LFyD4uOHs9DYkpOjjZZ90zo5AL+P1UCsYtjUJGZlaI+fa3RMQkaPD55CqwtuR300R8FxARERGVAQq5gDYNbfFqG3u0aWgLhTzr1EzXVvb49rOqRqOcHTyZikGfPERiitZc5RKVGQw0RERERGVc87o22LXQCx7K7ItrTl9LR9DMCETFasxYGZH5STrQhISEoHXr1rCzs4OLiwt69uyJK1euFHp7lUqF6dOnw9fXF1ZWVvD19cWMGTOgUqlyXf/nn39G586dUaVKFdja2qJ27doYPXo07t+/b6JnRERERJS7Oj5W2LPYC7W8LA1tNx9kIvDDcNyOyDRjZUTmJdlAs2nTJgQGBiI1NRWLFy/GrFmzcOnSJfj5+eHy5csFbq/VatG9e3csXrwY7du3x+rVqxEQEIDg4GAEBARApzOejffzzz9Hz549kZCQgGnTpuHzzz9H165dsXnzZrRo0QJRUVEl9VSJiIiIAACe7grsXuSFl160NrQ9fKJB3+nhOH8zzYyVEZmPJAcFiI+Px6RJk+Dl5YXjx4/D0dERABAUFIR69ephwoQJOHToUL772Lp1K44cOYJx48bhiy++MLT7+vpiypQp+OabbzBo0CBDe3BwMKpWrYrjx4/D2jr7l0jNmjUxefJk7NmzB2PGjDHxMyUiIiIy5uwgw7efVcXYpVH483QqACAhWYf+Hz3Emg890Km5nZkrJCpdkjxDs2/fPiQlJWHYsGGGMAMAPj4+6Nu3L0JDQxEeHp7vPrZt2wYAmDx5slH76NGjYWNjY1iul5iYCFdXV6MwAwBVq1YFANja2hb7+RAREREVhbWVBdZN98Bbr2R/DkrPFDF8/iP88GeiGSsjKn2SPENz6tQpAICfn1+OZX5+fti6dSvOnDkDb2/vXLcXRRFnzpyBp6cnqlWrZrTMxsYGTZo0wZkzZ4zau3Xrhj179mDy5Ml477334OjoiAsXLmD69Olo1KgR3nzzzXxrrl+/fo62O3fuoEaNGlCr1fluW5I0Gg20Wi00Gt5QKAXsL2lhf0kL+0ta2F9ZPnvfBUonAat3Z4UYrQ6YtioaUTGZGNnHCYKQ33SdpYN9JS1lob9EUSzSa1eSgSYiIgIA4OXllWOZvk2/Tm7i4uKgUqnQoEGDXJd7eXnhxIkTSEpKMpwBWr9+PXQ6HT7//HMsX77csG6fPn2wdevWYp+h0Wq1iI2NLda2pqDRaJCcnAxRFCGXS/LlUKGwv6SF/SUt7C9pYX9lG/gKYGtphaXfZUD8/3yby79LQFhkKia+aQWZhXlDDftKWspCf2m12iIdW5KvKv0oZFZWVjmW6S8Jy2uksoK2f3Yf+kBjZWWF6tWro0OHDujfvz9cXV1x/PhxrFq1CkFBQdi7dy8sLS1z3R8AXL16NUdb/fr1IYoilEplntuVNI1GA0EQ4Orqyl8yEsD+khb2l7Swv6SF/WXs/T5ANc9UTPr8CTL/f+HH7sNqpGYoEDzeHVYK84Ua9pW0lIX+kslkRVpfkq8q/dmQjIyMHMvS09ON1inq9rntQ6fToVu3boiMjMTVq1dhY2MDAOjduzdq1aqFUaNGYePGjRg9enSRn4sgCFAoFEXezpRkMhnkcrnZ66DCYX9JC/tLWthf0sL+MvZ6O2e4uVhi+IJIJKdmjdb66wkV4pOj8dVMDzjaFe1Doimxr6TF3P1V1EslJTkoQH6XleV3OZqeq6srbG1t87wsLSIiAo6OjoazM8eOHcM///yDHj16GMKMXr9+/QAAoaGhRX8iRERERCbUuoEtdi3wQmXX7PBy8koa3pwVgeg43sNC5ZMkA03Lli0BACdOnMixTN/WokWLPLcXBAHNmzfHo0eP8ODBA6NlaWlpuHjxotH2Dx8+BJB1Pd+z9DdM8UY3IiIiKgte9LXCnsXeqFE1+9v16/cy0efDcNx9yAk4qfyRZKDp1asXHBwcsGHDBiQlJRnaw8LCsGvXLvj7+xtGOFOpVLhx4wYiIyON9jFw4EAAwLJly4za165di7S0NMNyIHuEsr179yIhIcFo/S1btgAAWrVqZZLnRkRERPS8vCopsHuRN5rUyZ5uIiJag77TI3DxVroZKyMyPUkGGhcXFwQHByMiIgJt27bFl19+iWXLlqF9+/YQBAErV640rHv69GnUrVsXM2bMMNrH0KFD0a5dO6xatQqDBw/Gpk2bMH78eEybNg3+/v545513DOs2atQI/fr1Q2RkJJo2bYoFCxZg3bp1GDhwIGbMmIGaNWti5MiRpfX0iYiIiArk6ijDjrlV0fGl7PuK45K0ePujCISeSzVjZUSmJclAAwAjRozArl27YGtri2nTpmHu3Llo2LAhjh8/jsaNGxe4vUwmw4EDBzB16lQcPnwYo0aNwr59+zB58mT88ssvOUZX+Pbbb7Fs2TK4uLhg3rx5GD9+PI4dO4YxY8bg5MmTcHZ2LqFnSkRERFQ8ttYW+GqmJ/p2cjC0pWVkTcC551BSPlsSSYcgivoRy6m06S9ly21I59KiVqsRGxsLpVLJkUckgP0lLewvaWF/SQv7q2hEUUTwN7FYszveqH3GYDe839u5RCfgZF9JS1nor6J+RpbsGRoiIiIiKhxBEDBtoBvmDHfH09ll4dYYzNscA52O32+TdDHQEBEREVUQQ153xqopVWApz041m35KwAcropCpZqghaWKgISIiIqpAXn/ZAVs+8YS9TfbHwJ/+TsG7cx8iRaUzY2VExcNAQ0RERFTB+DWyxfcLvODukj0I0rFLaXjrowg8SeDceiQtDDREREREFVD9GlYIWeyN6p7ZN35fuZOBwA8jcD+SE3CSdDDQEBEREVVQ3pUV2L3IC41rWxnawqLU6PthBC7f5gScJA0MNEREREQVmNJJjh1zvdC+afYEnDGJWrw1KwJHL3ICTir7GGiIiIiIKjg7GwtsnOWJ3v7ZE3Cmpot4d+4j7DvCCTipbGOgISIiIiJYKgQsm1AZ7/dyNrSpNcCE5Y+xcV983hsSmRkDDREREREBACwsBMwc6o6P3nUzap+3OQYLvn7CCTipTGKgISIiIiIjw95wweeTKkMhz277am8CJn/+GGoNQw2VLQw0RERERJTDGx0csXm2J+ysBUPbj4eT8d68R0hN4wScVHYw0BARERFRrto1scPO+V5QOmVPwPn3BRX6z45AbCIn4KSygYGGiIiIiPLUsJY19iz2gk+V7Ak4L/2Xgb7TIxD+WG3GyoiyMNAQERERUb58PSyxZ7EXGtTMnoDz3iM1+nwYjqt3M8xYGREDDREREREVgruzHDvneeHlxjaGtifxWrw5MwL//KsyY2VU0THQEBEREVGh2NtaYPPsqghoZ29oS0nTYcinj/DLsWQzVkYVGQMNERERERWapULA55Oq4N0AZ0NbpkbEuKVR2PJLgtnqooqLgYaIiIiIisTCQsDs99wwfbDS0CaKwJwNT7BkewxEkXPVUOlhoCEiIiKiIhMEASP7uGLZhMqQPfWJcs3ueEz9ImsCTrVGxKkraQg9r8apK2mclJNKhLzgVYiIiIiIchfYyRGuTjKMXhyJtIyswLL7UDLO3UhHUqoOsYna/6+ZDnfnGAzs7oRRga5QyIW8d0pUBDxDQ0RERETPpeNLdvhunhdcHbMn4Lz3SP1UmMkSk6DF8h1xGLHwEc/WkMkw0BARERHRc2tSxxq7F3nB0S7vj5f6CHPorArrQuJLpzAq9xhoiIiIiMgkvCsrIJcVfCmZAGDb/gSepSGTYKAhIiIiIpM4ez0NcUnaAtcTATxJ0OLs9bSSL4rKPQYaIiIiIjKJxBRdia5PlBsGGiIiIiIyCSf7on20vPkgg3PW0HNjoCEiIiIik2he1wZuzjIUdkDmFd/F4c2ZEbj0X3qJ1kXlGwMNEREREZmEQi5gUHcnFOWcy+lr6XhjSjgmrojCoyfqEquNyi8GGiIiIiIymVGBrujU3BYAcpyp0T9+0dcS7s7GH0N/PJyMjqMfYOk3MUhR8d4aKjwGGiIiIiIyGYVcwPoZnpg8QAk3Z5nRMjdnGSYPUOLnZT44vK46xr/pCmvL7NiTkSniy13x8B91HzsOJkKj5f01VDC5uQsgIiIiovJFIRcwLsgVI/u44NTlZIRHJsLbwwmtGjpAIRcM60zqr0T/bk4I/iYGIaHJ0I8PEJOgxcw10di6PwGzhrqhfVM7Mz4bKut4hoaIiIiISoRCLqBVAxt0bKZAqwY2hjDztCpKOZZNqIKfl3mjdQMbo2U3H2Ri0JxHGPzpQ9wKyyitskliGGiIiIiIyOwa1LTGd/OqYsNMD1T3VBgtO3JehVcnhGHmmsd4kqAxU4VUVjHQEBEREVGZIAgCXmllj4NfVMMnw9zh7JD9UVWnA3YcTELHkQ+wencc0jM4cABlYaAhIiIiojLFUiFgaIAzjqzzxbA3nKF46q7vlDQdgrfHovOYB9j3dzIn5iQGGiIiIiIqm5zsZfjoXXf8+WU1vNbG3mjZwycaTFgWhV5Tw3H2epqZKqSygIGGiIiIiMq0ah6WWDvdA7sWeqFxbSujZZf+y0Df6REYvTgSYVGcmLMiYqAhIiIiIkloUc8GPy7xxsqJleHpZjz7yIF/UtBlzAPM//oJElO0ZqqQzIGBhoiIiIgkw8JCQC9/RxxaUw1TByphZ509FHSmRsSGvQnwH3kfW/cnQK3h/TUVAQMNEREREUmOtZUFxvR1xeH1vni7myMsnvpUG5+swydfPUG38Q/wx6kUDhxQzjHQEBEREZFkuTvLsXB0Zfy60gftm9oaLbv7UI3hCyLRf/ZDXLmbbqYKqaQx0BARERGR5L1QzQrb5lTFlk88UcfH0mjZictpCJgUjimfRyEqlhNzljcMNERERERUbvg3s8OBlT5YMLoS3JxkhnZRBHYfSkbHUfex4rtYqNI5MWd5wUBDREREROWKXCagfzcnhK6rhtF9XWCpyB44IC1DxOc74+A/8j5++DMRWi3vr5E6BhoiIiIiKpccbGWYNtANh9ZUwxvtHYyWRcdrMW1VNAImh+Off1VmqpBMgYGGiIiIiMo1r0oKfD65CvYGe6N5XWujZdfuZaD/7IcYNu8R7kRkmqlCeh4MNERERERUITSpY41dC72w9sMq8KmiMFr255lUdBv/AJ98FY24JE7MKSUMNERERERUYQiCgNf8HPDHlz6YNdQNDnbZH4c1WmDr/kR0GHkfX/0Yjww1Bw6QAgYaIiIiIqpwrBQWGN7LBUfW+WJIDyfIswdEQ3KqDgu2xKDLmAfYfzw5x8Scao2IE5dV+O1ECk5cVkGt4cAC5iQ3dwFERERERObi6ijDnPcrYWB3ZyzcGoM/T6caloU/1mDMkii89KI1PnrXHQ1qWmHtnjhsO5CImITsy9LcnWUY2N0JowJdoZALuR2GShADDRERERFVeDW9LLFxlif++VeFeZtjcO1ehmHZuRvp6D0tHJVcZYiO0+LZyBKToMXyHXG4eCsd62d4MtSUMl5yRkRERET0f36NbPHzMm8Ej6+Myq4yo2XRcVlnZZ69wEz/+NBZFdaFxJd8kWSEgYaIiIiI6CkymYB+nR0RutYXH7ztCmvLwm0nANi2P4H31JQyBhoiIiIiolzYWlvgg7eUWP5BlUKtLwJ4kqDF2etpJVsYGWGgISIiIiLKh4VF0e6JSUzhcM+liYGGiIiIiCgfTvZF+8hc1PXp+Uj6px0SEoLWrVvDzs4OLi4u6NmzJ65cuVLo7VUqFaZPnw5fX19YWVnB19cXM2bMgEqlynOb3bt3o2PHjnB2doaNjQ1q1aqFIUOGmODZEBEREVFZ1LyuDdycZTlGN8uNrbWAZi9Yl3hNlE2ygWbTpk0IDAxEamoqFi9ejFmzZuHSpUvw8/PD5cuXC9xeq9Wie/fuWLx4Mdq3b4/Vq1cjICAAwcHBCAgIgE6X81ThmDFjEBQUBEdHR8ydOxerVq3CgAED8PDhw5J4ikRERERUBijkAgZ1d8oxulluVOkiPlj+GKp0XnZWWiQ5D018fDwmTZoELy8vHD9+HI6OjgCAoKAg1KtXDxMmTMChQ4fy3cfWrVtx5MgRjBs3Dl988YWh3dfXF1OmTME333yDQYMGGdq3b9+ONWvW4KuvvsLw4cNL5okRERERUZk0KtAVF2+l49BZFQTkHLr5ab+eSMGDKDU2zvKAp7uitEqssCR5hmbfvn1ISkrCsGHDDGEGAHx8fNC3b1+EhoYiPDw8331s27YNADB58mSj9tGjR8PGxsawXG/u3Llo3LixIcwkJyfnehaHiIiIiMofhVzA+hmemDxACTdn4/lp3J1lGPCqI9ydsz9aX7uXgZ5TwnHuBkc8K2mSPENz6tQpAICfn1+OZX5+fti6dSvOnDkDb2/vXLcXRRFnzpyBp6cnqlWrZrTMxsYGTZo0wZkzZwxtt27dwn///YcxY8Zg0aJFWLFiBaKjo2FtbY3XXnsNy5cvh6+vb741169fP0fbnTt3UKNGDajV6oKeconRaDTQarXQaDRmq4EKj/0lLewvaWF/SQv7SzrKW1+N7O2A9wLscf5GOhJSdHC2t0CzF62hkAsY2dsRo5dE4/KdTABATIIWb82KwIJRbujVwd7MlRdOWegvURQhCIUfWU6SgSYiIgIA4OXllWOZvk2/Tm7i4uKgUqnQoEGDXJd7eXnhxIkTSEpKgqOjI65fvw4A+OGHH5Ceno5Zs2ahTp06CA0NxZdffolTp07h4sWLcHd3L/Jz0Wq1iI2NLfJ2pqLRaJCcnAxRFCGXS/LlUKGwv6SF/SUt7C9pYX9JR3ntq1oe2f9PSswaUEoBYNUHlpi3VYc/z2YFArUGmLoqBv/eSsLIXpaQFXEI6NJWFvpLq9UW6diSfFXpRyGzsrLKscza2tponaJu/+w+HB0dkZycDAB48uQJDh48iK5duwIAevfuDScnJ8ybNw8rVqzAggUL8jzm1atXc7TVr18foihCqVTmuV1J02g0EAQBrq6u5eqXTHnF/pIW9pe0sL+khf0lHRWxr9Z8KGLNnkSs3JlgaNt+MBMPY2VYNsEd9jZl966PstBfMpms4JWeIslXla2tLQAgIyMjx7L09HSjdYq6fW77sLGxAQB4enoawozeu+++i3nz5hU4CEFeBEGAQmHem8VkMhnkcrnZ66DCYX9JC/tLWthf0sL+ko6K2FcfvO2OF31tMHFFFNIysoYQOHQ2DW99FIWNszzhXbns/izM3V9FudwMkOigAPldVpbf5Wh6rq6usLW1zfOytIiICDg6OhoGHNDfi+Ph4ZFjXX1bXFxcEZ4BEREREZV3r7axx+5F3vB0yz6HcPNBJnpODsOpqxwswFQkGWhatmwJADhx4kSOZfq2Fi1a5Lm9IAho3rw5Hj16hAcPHhgtS0tLw8WLF422b9iwYZ4BSD+aWuXKlYv+RIiIiIioXKtfwwr7lnkbTbYZn6zDgNkR2Pl7ohkrKz8kGWh69eoFBwcHbNiwAUlJSYb2sLAw7Nq1C/7+/oazKiqVCjdu3EBkZKTRPgYOHAgAWLZsmVH72rVrkZaWZlgOZF1yFhQUhMePH2P37t1G669evRoA8Prrr5vuCRIRERFRueHuLMd386uiT0cHQ5tGC0xfHY1PNz6BRluYKTspL5K8h8bFxQXBwcEYOXIk2rZtixEjRiAjIwOrVq2CIAhYuXKlYd3Tp0+jY8eOGDx4MLZs2WJoHzp0KLZt24ZVq1YhMTER7du3x6VLl7BmzRr4+/vjnXfeMTrmggUL8Oeff2LAgAH4559/UKdOHRw+fBjff/89mjRpgnHjxpXSsyciIiIiqbFSWGDZhMp4sZoVFm6Ngfj/DPP1zwm4HZ6JL6dWgZN90W6GpyySPEMDACNGjMCuXbtga2uLadOmYe7cuWjYsCGOHz+Oxo0bF7i9TCbDgQMHMHXqVBw+fBijRo3Cvn37MHnyZPzyyy85Rlfw8PDAyZMn8c4772DHjh0YP348Tp48iUmTJuHIkSP5DkJARERERCQIAt7v7YKNszyMRjo7elGF3tPCcfdhphmrky5BFEWe4zIT/WSbuQ3pXFrUajViY2OhVCor1MgjUsX+khb2l7Swv6SF/SUd7Kvc3QrLwHvzHiH8cfYElo52FlgzzQMvNzHfF+Vlob+K+hlZsmdoiIiIiIikqo6PFfYt9UGrBjaGtqRUHQZ/+hDb9ieA5xwKj4GGiIiIiMgMXB1l2D6nKt7u6mho0+qAj796go/WPYFaw1BTGAw0RERERERmYqkQsGB0JcwZ7g6Lpz6Zf/tbIgZ+8hDxSVrzFScRDDRERERERGYkCAKGvO6MLR97wsEu++P5yStpeGNqOP4LyzBjdWUfAw0RERERURnQvqkd9i7xRg3P7Jvxw6LU6PNhBELPpZqxsrKNgYaIiIiIqIyo6WWJH4O90e6pkc6SVTq8N+8RNu6L52ABuWCgISIiIiIqQ5zsZfj6Y08Med3Z0KbTAfM2x2DaqmhkqHXmK64MYqAhIiIiIipj5DIBc4a7Y8HoSpA/Nd/7rr+SMGD2Q8QkaPLeuIJhoCEiIiIiKqP6d3PC9k+rwtkh+2P72evpeGNKOK7f52ABAAMNEREREVGZ1qahLX5a6oPa3paGtodPNAj8MBwHT6aYsbKygYGGiIiIiKiM86miQMgSL3Rqnj1YgCpdxIiFkVi9K65CDxbAQENEREREJAEOtjJsmOmJEb1djNqDv4nFB8sfIz2jYg4WwEBDRERERCQRMpmAGUPcsHRCZVjKBUP7vr+T8easCETHVbzBAhhoiIiIiIgkpm8nR3w3ryrcnLKHQLv0XwZ6TgnH5dvpZqys9DHQEBERERFJ0Et1bbBvmTfqVs8eLCAqVoN+MyLwy7FkM1ZWuhhoiIiIiIgkqqq7ArsXeqNbaztDW3qmiLHBUVi+IxY6XfkfLICBhoiIiIhIwuxsLLD2Qw+MD3I1av/i+ziMWRIFVXr5HiyAgYaIiIiISOIsLARMGqDEF5OrwMoye7CAX0+koO/0CDx6ojZjdSWLgYaIiIiIqJzo2d4BPyzwQiWX7MECrt3LGizg3I00M1ZWchhoiIiIiIjKkca1rfHTMh80qmVlaItJ0OLtWQ8REppkxspKBgMNEREREVE5U0Upxw8LvBDQzt7QlqkRMWnlYyzaGgOttvwMFsBAQ0RERERUDllbWeCLyVUwZYDSqH1dSDxGLIxEiqp8DBbAQENEREREVE4JgoCxQa5YN90DNlbZgwX8eSYVgdPDEf5Y+oMFMNAQEREREZVzr7axx+5F3vB0kxvabj7IRM/JYTh1NWuwALVGxKkraQg9r8apK2lQa6RxWZq84FWIiIiIiEjq6tewwr5l3hi5MBLnbqQDAOKTdej/UQQ6NbfDhVvpiEnQ/n/tdLg7x2BgdyeMCnSFQi7kvWMz4xkaIiIiIqIKwt1Zjh3zqiKwk4OhTasD/jid+lSYyRKToMXyHXEYsfBRmT5bw0BDRERERFSBWCkssHR8Zcwc4pbvevoIc+isCutC4ku+sGJioCEiIiIiqmAEQcDQAGc42hUcBwQA2/YnlNmzNAw0REREREQV0NnraUhKLXjoZhHAkwQtzl5PK/miioGBhoiIiIioAkpMKdo8NEVdv7Qw0BARERERVUBO9kWLAkVdv7SUzaqIiIiIiKhENa9rAzdnGQoakFkA4O4sQ/O6NqVRVpEx0BARERERVUAKuYBB3Z1Q0K3+IoBBPZzL7Fw0DDRERERERBXUqEBXdGpuCwA5ztToH3dqbouRfVxKta6iYKAhIiIiIqqgFHIB62d4YvIAJdycZUbL3JxlmDxAifUzPMvs2RkAkJu7ACIiIiIiMh+FXMC4IFeM7OOCU5eTER6ZCG8PJ7Rq6FCmg4weAw0REREREUEhF9CqgQ1qeaigVNpIIswAvOSMiIiIiIgkjIGGiIiIiIgki4GGiIiIiIgki4GGiIiIiIgki4GGiIiIiIgki4GGiIiIiIgki4GGiIiIiIgki4GGiIiIiIgki4GGiIiIiIgki4GGiIiIiIgki4GGiIiIiIgki4GGiIiIiIgki4GGiIiIiIgkSxBFUTR3ERWVg4MD1Go1atasabYaRFGEVquFTCaDIAhmq4MKh/0lLewvaWF/SQv7SzrYV9JSFvrrzp07UCgUSE5OLtT6PENjRnZ2dlAoFGat4e7du3jw4AF/wUgE+0ta2F/Swv6SFvaXdLCvpKUs9JdCoYCdnV2h1+cZmgqufv36AICrV6+auRIqDPaXtLC/pIX9JS3sL+lgX0mLFPuLZ2iIiIiIiEiyGGiIiIiIiEiyGGiIiIiIiEiyGGiIiIiIiEiyOCgAERERERFJFs/QEBERERGRZDHQEBERERGRZDHQEBERERGRZDHQEBERERGRZDHQEBERERGRZDHQEBERERGRZDHQlEMhISFo3bo17Ozs4OLigp49e+LKlSuF2vbnn3/GsGHDUL9+fTg4OMDd3R1t2rTB5s2bodFoSrjyiul5+uvXX3/FG2+8gerVq8Pe3h6Ojo5o2LAhPv30UyQkJJRs4RXU8/TXsy5evAiFQgFBEPDNN9+YuFICnq+/tmzZAkEQcv3XvHnzEq68YjLF++v8+fPo168fqlSpAisrK1StWhU9e/bE/fv3S6boCux5+svX1zfP95cgCHjllVdKuPqK53nfX//++y/eeust+Pr6wtraGj4+Pujduzf++eefEqy6cOTmLoBMa9OmTRg2bBgaNGiAxYsXIz09HatWrYKfnx+OHz+Ohg0b5rv98OHDYWdnh169eqFu3bpITEzEzp078d5772HPnj345ZdfIAhCKT2b8u95+0v/i2jo0KHw8PCAWq3G6dOnMW/ePOzcuRNnz56FnZ1daTyVCuF5++tpGo0G7733HqytrZGSklKCVVdcpuqvmTNnom7dukZtSqXyf+3df0xV9f8H8Oe9QFx+K1iIklCDRkhKpcwKNPkhzCLCAZJo5vrBCtfWxBitUHFQaj9cmmHSQClzMGJWLGtOTCUix7SsNZFlV0WMIYYgxo/r6/NH436/N34k3PdF7r3Px3anvM+5b19nT8+993XP4RxLlGzXVOT12WefYcWKFQgPD8crr7yC22+/Ha2trTh+/Dja29sRGBho+Q2xE+bmtXXr1iFf+z755BN88803eOKJJyxVul0yN68ff/wR8+fPh4+PD55//nnceeed0Ov1+OijjxAVFYWvv/4aixYtGqetGYKQzWhvbxdPT0/x9/eXjo4O47herxc3NzdZuHDhf85x8OBBuXHjhslYf3+/REZGCgCprq5WXre9UpHXcDZt2iQAZPfu3SpKJVGf15tvvikeHh6yceNGASBlZWWqS7ZrKvIqKSkRAFJTU2PBSklETV6nT58WnU4nK1asEIPBYMly7Z6l3r8MBoMEBASIi4uLXLlyRVG1pCKvjIwMASCnTp0yGW9oaBAAkpKSorzu0eApZzZk//79uHr1Kp577jl4enoax2fMmIGUlBTU1NTg/PnzI84RExMz6AiMg4MDUlNTAfxzuJHUUJHXcAa+heRpZ+qozKuxsREbNmxAQUEB/P39LVWyXVO9f3V1daGnp8cSpRLU5LVlyxb09/fj3XffhVarRXd3N3p7ey1dul2y1PvXt99+C71ej5SUFEyaNElhxfZNRV4dHR0AgGnTppmMT58+HQDg6uqquOrRYUNjQ+rr6wEADz/88KBlA2PHjx8f09zNzc0AAF9f3zFWR/+mMq+uri60tbXhjz/+wOeff46cnBw4OTnd2sO/NkZVXiKCZ599FrNnz0ZWVpbaIslI5f6VlJQEDw8P6HQ6BAcHY/PmzfydQsVU5FVdXY2QkBD88MMPCA0NhZubG1xcXPDQQw/h8OHDymu2Z5b6vFFcXAzgn9PfSR0VecXHxwMAli1bhvr6ely8eBF1dXXIyMjA5MmTkZ2drbjq0eHv0NiQCxcuAMCQ3/gOjA2sM9p5d+7cicmTJyMpKcm8IslIZV6rV6/G7t27jT/PnDkTX3zxBUJCQhRUSoC6vHbs2IH6+no0NDRAq+V3SpaiIi9XV1ekpaUhNjYWfn5+aG5uRllZGXJycnD06FHs37+fGSpibl4dHR1oaWlBT08PkpOTkZmZiYKCApw5cwYFBQWIi4vDwYMHsWDBAstsgJ2xxOeN1tZW4/tWVFSU+UWSkYq8XnzxRTQ3N2P79u2YN2+ecTwsLAz19fUIDg5WWPHosaGxId3d3QAAZ2fnQct0Op3JOjerq6sLSUlJuHr1KiorK+Ht7W1+oQRAbV6vvvoqli9fjsuXL6O2thZHjx7F5cuX1RVLSvI6d+4ccnNzkZ2dPaoLCNDoqcgrLS0NaWlpJmMvvPACli1bhn379qG8vBzp6emKKrZv5ubV2dkJAGhvb0dubi4KCwuNyx588EHExsYiNzd3QlyNyRZY4vNGaWkp+vr6eHTGAlTkpdVqMX36dMyePRtPPvkk7rnnHjQ2NmLLli1ISEjAoUOHEBAQoL74m8SGxoYMnL841Hnef//9t8k6N6OrqwuLFy/GiRMnsH37diQnJ6splACozSs0NBShoaEAgKVLl6KyshIpKSlwcHDgBy5FVOSVmZkJX19f5OXlqS+QTKh+PRyg0Wiwbt067Nu3D1999RX3L0XMzcvFxcX491WrVpksi4mJwYwZM1BfX4/u7u5bfq6/LbDE/vXxxx/D2dkZTz/9tPkFkgkVeeXm5uKdd97BiRMnEBYWZhyPj4/HAw88gLVr16K8vFxh1aPDY+U2ZKTDhiMdbhxKZ2cnEhIScOzYMXz44Yd46aWX1BVKANTm9W9LliyBh4cHioqKxl4gmTA3r6qqKhw4cABr167FhQsX0NTUhKamJrS2tgIA/vzzTzQ1NY36W00amiX3r7vuugsAjNmR+czNy9vb23iJej8/v0HL/fz8cOPGDV4oRRHV+9d3332HxsZGJCcnY8qUKWqKJCNz8+rr68N7772HkJAQk2YGAO677z6EhISgpqZGYcWjx4bGhkRERAAA6urqBi0bGJs7d+5/ztPR0YFFixahrq4OxcXFyMzMVFsoAVCX11AMBgN6e3tx5cqVsRdIJszNS6/XA/jnKE1wcLDxkZOTAwDIzs5GcHAwjhw5orp0u2TJ/auxsREAMHXq1DFWR/9mbl4ajcY4x1BXazp//jwcHR152rQiqvevXbt2AeDFACzF3Lza2trQ29sLg8Ew5PL+/v5bf6GUW3rRaFKqvb1dPDw8hr3O+KOPPmocu3btmvz2229y8eJFkzn++usviYiIEAcHB9mzZ8+41W6PVOTV0tIy5Nzvv/++AJDMzEzLFG+HzM3rzJkzUlFRMeiRlZUlAOTll1+WiooKuXTp0rhul61SsX+1tbUNmrevr08ee+wxASCVlZWW2wA7oyKv0tJSASBZWVkm41VVVQJAEhISLLsRdkRFXv9/Lp1OJ0FBQYPug0dqmJuXwWCQKVOmiFarlbq6OpO5v//+e9FqtRIfH2/5DRkBGxobU1RUJAAkLCxMtm3bJm+//bYEBASIu7u7nDx50rheTU2NAJCVK1eaPH/OnDkCQJKSkqSsrGzQ46effhrnLbJt5ubl4+MjiYmJsn79eikuLpbNmzfL4sWLBYAEBgYO+wZCY2NuXkMZuHkjb6ypnrl5+fn5SWpqquTn58uuXbtkw4YNcu+99woASU9P54cvxczNy2AwSFxcnACQ1NRU2bFjh6xZs0acnZ3Fy8tLfv3113HeItum6vVw4Au4t956a5wqt0/m5vXBBx8IAHF3d5fs7GzZuXOnZGdni5ubm+h0Oqmvrx/nLTLFhsYGVVRUSEREhLi4uIiXl5c8/vjjgxqR4f7DAhjxsW7duvHbEDthTl75+fkSFRUlvr6+4ujoKG5ubhIeHi5vvPGGtLe3j+NW2A9z8hoKGxrLMievNWvWyJw5c8THx0ccHR3Fy8tLoqKipKSkhM2MhZi7f12/fl3Wr18vQUFB4uTkJD4+PrJ06VI5ffr0OG2BfVHxejhr1ixxcnLi0elxYG5eVVVVEh0dLZMmTRIHBwe54447JCUlxaQhulU0IiKWOp2NiIiIiIjIknhRACIiIiIislpsaIiIiIiIyGqxoSEiIiIiIqvFhoaIiIiIiKwWGxoiIiIiIrJabGiIiIiIiMhqsaEhIiIiIiKrxYaGiIiIiIisFhsaIiIiIiKyWmxoiIiIiIjIarGhISIimxMYGAiNRgONRoMjR44Mu97AOl1dXUMuFxHcfffd0Gg08PPzQ39/v6VKJiKiMWJDQ0RENu21114b83MPHz6Ms2fPAgAuXbqEAwcOqCqLiIgUYUNDREQ2y9XVFbW1taiurh7T80tLSwEA06ZNM/mZiIgmDjY0RERks1avXg0AeP311yEio3puV1cXKisrodFosHfvXmi1Wnz55Zdob2+3RKlERDRGbGiIiMhmZWRkYObMmTh58iTKy8tH9dyKigpcu3YNkZGRWLBgAWJiYtDb24u9e/daqFoiIhoLNjRERGSztFotNm7cCADIy8uDwWC46eeWlJQAAJ555hmTP3naGRHRxMKGhoiIbFpycjLmzp2LxsbGm25Gfv/9dxw7dgyurq5ITU01zuPl5YWGhgb88ssvFqyYiIhGgw0NERHZvMLCQgBAfn4+enp6/nP90tJSiAiSk5Ph4eEBAHBxcUFaWppxORERTQxsaIiIyObFxsZi4cKFOHfuHIqKikZcV0SwZ88eAP93mtmAlStXAgA+/fRT3pOGiGiCYENDRER2YeAoTWFh4bA30gSAQ4cOQa/Xw9/fH9HR0SbLHnnkEQQHB/OeNEREEwgbGiIisgvz5s1DYmIiWltbsXXr1mHXGzid7Pr165g/fz4iIyNNHh0dHSbrERHRraWR0V6Yn4iIaIILDAyEXq/HqVOnEBYWZhz/+eefER4eDk9PT5w9exbe3t4AgM7OTri7u6OzsxNTp05Fd3f3f/4bt912G1paWoxzEBHRrcEjNEREZDdmzZqF9PR0dHR0YNOmTYOWl5eXo7u7G/fffz9EZNhHXFwc70lDRDRBsKEhIiK7kp+fD0dHR2zbtm3QsoF7zyxfvnzEOTIyMgDwtDMioomADQ0REdmVoKAgrFq1atBpZU1NTaitrYWDgwOeeuqpEedYsmQJXFxceE8aIqIJgA0NERHZnby8POh0OpOxgaMt0dHR8PPzG/H5Hh4eSExMNHkeERHdGrwoABERERERWS0eoSEiIiIiIqvFhoaIiIiIiKwWGxoiIiIiIrJabGiIiIiIiMhqsaEhIiIiIiKrxYaGiIiIiIisFhsaIiIiIiKyWmxoiIiIiIjIarGhISIiIiIiq8WGhoiIiIiIrBYbGiIiIiIislpsaIiIiIiIyGqxoSEiIiIiIqvFhoaIiIiIiKzW/wC63sgButJlhgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 840x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "LINE_MON = \"axial_line\"\n",
    "\n",
    "\n",
    "def _antenna_top_z(sim_data):\n",
    "    \"\"\"Recover the antenna-top z-coordinate from the saved simulation geometry.\"\"\"\n",
    "    for s in sim_data.simulation.structures:\n",
    "        if getattr(s, \"name\", None) == \"metalens\":\n",
    "            cyl = s.geometry.geometries[0]\n",
    "            return cyl.center[2] + cyl.length / 2\n",
    "    raise RuntimeError(\"metalens structure not found\")\n",
    "\n",
    "\n",
    "rows = []\n",
    "for na in NA_LIST:\n",
    "    path = os.path.join(DATA_DIR, f\"focal_finder_NA{na:.2f}.hdf5\")\n",
    "    if not os.path.exists(path):\n",
    "        print(f\"[skip] {path}\")\n",
    "        continue\n",
    "\n",
    "    sd = td.SimulationData.from_file(path)\n",
    "    if LINE_MON not in sd.monitor_data:\n",
    "        print(f\"  [warn] '{LINE_MON}' missing in {path}\")\n",
    "        continue\n",
    "\n",
    "    Ex = sd[LINE_MON].Ex.abs.isel(f=0).squeeze(drop=True)\n",
    "    Ey = sd[LINE_MON].Ey.abs.isel(f=0).squeeze(drop=True)\n",
    "    Ez = sd[LINE_MON].Ez.abs.isel(f=0).squeeze(drop=True)\n",
    "    E2 = (Ex**2 + Ey**2 + Ez**2).values\n",
    "    z  = sd[LINE_MON].Ex.coords[\"z\"].values\n",
    "\n",
    "    z_top  = _antenna_top_z(sd)\n",
    "    z_peak = float(z[int(np.argmax(E2))])\n",
    "    f_sim  = z_peak - z_top                       # antenna-top -> focus distance\n",
    "\n",
    "    f00          = (L_METALENS/2) / np.tan(np.arcsin(na))\n",
    "    f_design_top = f00 - H_ANT\n",
    "    delta_f      = f_design_top - f_sim\n",
    "    dff_abs      = abs(delta_f / f_design_top)\n",
    "\n",
    "    rows.append({\n",
    "        \"NA\":           na,\n",
    "        \"z_top\":        z_top,\n",
    "        \"z_peak\":       z_peak,\n",
    "        \"f_simulated\":  f_sim,\n",
    "        \"f_design_top\": f_design_top,\n",
    "        \"delta_f\":      delta_f,\n",
    "        \"abs_dff\":      dff_abs,\n",
    "    })\n",
    "    print(f\"NA = {na:.2f}:  f_design = {f_design_top:6.3f} µm,  \"\n",
    "          f\"f_sim = {f_sim:6.3f} µm,  \"\n",
    "          f\"Δf = {delta_f:+6.3f} µm,  |Δf/f| = {dff_abs:.4f}\")\n",
    "\n",
    "df_focal = pd.DataFrame(rows)\n",
    "df_focal.to_csv(os.path.join(DATA_DIR, \"focal_finder_summary.csv\"), index=False)\n",
    "\n",
    "# --- Overwrite F_OFFSET_LIST with the freshly-computed values ---\n",
    "if len(df_focal) == len(NA_LIST):\n",
    "    F_OFFSET_LIST = df_focal[\"delta_f\"].to_numpy()\n",
    "    print(f\"\\nF_OFFSET_LIST overwritten from focal-finder results.\")\n",
    "else:\n",
    "    print(f\"\\n[warn] only {len(df_focal)}/{len(NA_LIST)} runs found — \"\n",
    "          f\"keeping pre-computed F_OFFSET_LIST.\")\n",
    "\n",
    "# --- Plot |Δf / f| vs NA ---\n",
    "fig, ax = plt.subplots(figsize=(7, 5))\n",
    "ax.plot(df_focal[\"NA\"], df_focal[\"abs_dff\"], \"o-\", color=\"#1f4eda\", linewidth=2)\n",
    "ax.set_xlabel(\"NA\")\n",
    "ax.set_ylabel(r\"$|\\Delta f / f|$\")\n",
    "ax.set_title(\"Relative focal-plane shift vs NA\")\n",
    "ax.grid(alpha=0.3)\n",
    "plt.tight_layout()\n",
    "plt.savefig(os.path.join(FIG_DIR, \"abs_dff_vs_NA.png\"))\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "26a1d9a95988",
   "metadata": {},
   "source": [
    "## 5. NA Sweep #1 — Transmission and Focal-Spot Coupling (No Nanowires)\n",
    "\n",
    "This first sweep characterizes the **optical** performance of the bare metalens (no NbTiN, no PEC mirror). For each NA we extract two quantities:\n",
    "\n",
    "- **Transmission** $T = P_\\mathrm{trans}/P_\\mathrm{in}$, integrated over the entire simulation cross-section 400 nm above the metalens. This tells us how much of the input power makes it past the structure at all.\n",
    "- **Coupling efficiency** $\\eta_c = P_\\mathrm{det}/P_\\mathrm{in}$, integrated over a 5 × 5 µm² square at the focal plane. This is the fraction of the input that lands on a future SNSPD-sized detector footprint.\n",
    "\n",
    "The 1 W plane-wave source is sized to the 60 × 60 µm² metalens aperture, so there is no aperture-fraction correction at post-processing.\n",
    "\n",
    "**FlexCredit note:** thirteen 3D FDTD simulations are launched here (one per NA value).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "88de74690781",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== NA = 0.200  f_offset = 24.83 µm ===\n",
      "  L_sim_xy = 66.20 µm,  L_h = 126.34 µm\n",
      "  trans_z  = -58.718 µm,  focal_z = 62.168 µm\n",
      "  cylinders: 10000\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:19 -03 </span>Loading simulation from local cache. View cached task using web UI \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>at                                                                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-a3ea025b-20d4-4c16-b2a4-33936e4a0e2c\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-a3ea025b-20d</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-a3ea025b-20d4-4c16-b2a4-33936e4a0e2c\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">4-4c16-b2a4-33936e4a0e2c'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:19 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from local cache. View cached task using web UI \n",
       "\u001b[2;36m             \u001b[0mat                                                                 \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=985006;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a3ea025b-20d4-4c16-b2a4-33936e4a0e2c\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=476632;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a3ea025b-20d4-4c16-b2a4-33936e4a0e2c\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=985006;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a3ea025b-20d4-4c16-b2a4-33936e4a0e2c\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=252379;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a3ea025b-20d4-4c16-b2a4-33936e4a0e2c\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=985006;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a3ea025b-20d4-4c16-b2a4-33936e4a0e2c\u001b\\\u001b[32m-a3ea025b-20d\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=985006;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a3ea025b-20d4-4c16-b2a4-33936e4a0e2c\u001b\\\u001b[32m4-4c16-b2a4-33936e4a0e2c'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:20 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.56e-05</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:20 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m1.56e-05\u001b[0m\u001b[31m is greater \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== NA = 0.250  f_offset = 17.60 µm ===\n",
      "  L_sim_xy = 66.20 µm,  L_h = 102.79 µm\n",
      "  trans_z  = -46.945 µm,  focal_z = 50.395 µm\n",
      "  cylinders: 10000\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:22 -03 </span>Loading simulation from local cache. View cached task using web UI \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>at                                                                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-378ddf03-17e5-41fa-952a-a77821be6f92\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-378ddf03-17e</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-378ddf03-17e5-41fa-952a-a77821be6f92\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">5-41fa-952a-a77821be6f92'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:22 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from local cache. View cached task using web UI \n",
       "\u001b[2;36m             \u001b[0mat                                                                 \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=406033;https://tidy3d.simulation.cloud/workbench?taskId=fdve-378ddf03-17e5-41fa-952a-a77821be6f92\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=141361;https://tidy3d.simulation.cloud/workbench?taskId=fdve-378ddf03-17e5-41fa-952a-a77821be6f92\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=406033;https://tidy3d.simulation.cloud/workbench?taskId=fdve-378ddf03-17e5-41fa-952a-a77821be6f92\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=26076;https://tidy3d.simulation.cloud/workbench?taskId=fdve-378ddf03-17e5-41fa-952a-a77821be6f92\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=406033;https://tidy3d.simulation.cloud/workbench?taskId=fdve-378ddf03-17e5-41fa-952a-a77821be6f92\u001b\\\u001b[32m-378ddf03-17e\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=406033;https://tidy3d.simulation.cloud/workbench?taskId=fdve-378ddf03-17e5-41fa-952a-a77821be6f92\u001b\\\u001b[32m5-41fa-952a-a77821be6f92'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.52e-05</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m2.52e-05\u001b[0m\u001b[31m is greater \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== NA = 0.300  f_offset = 13.72 µm ===\n",
      "  L_sim_xy = 66.20 µm,  L_h = 85.87 µm\n",
      "  trans_z  = -38.484 µm,  focal_z = 41.934 µm\n",
      "  cylinders: 10000\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:23 -03 </span>Loading simulation from local cache. View cached task using web UI \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>at                                                                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-878b9d4a-f7bc-4741-9567-1cb786b97ec6\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-878b9d4a-f7b</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-878b9d4a-f7bc-4741-9567-1cb786b97ec6\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">c-4741-9567-1cb786b97ec6'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:23 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from local cache. View cached task using web UI \n",
       "\u001b[2;36m             \u001b[0mat                                                                 \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=693082;https://tidy3d.simulation.cloud/workbench?taskId=fdve-878b9d4a-f7bc-4741-9567-1cb786b97ec6\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=227611;https://tidy3d.simulation.cloud/workbench?taskId=fdve-878b9d4a-f7bc-4741-9567-1cb786b97ec6\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=693082;https://tidy3d.simulation.cloud/workbench?taskId=fdve-878b9d4a-f7bc-4741-9567-1cb786b97ec6\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=967954;https://tidy3d.simulation.cloud/workbench?taskId=fdve-878b9d4a-f7bc-4741-9567-1cb786b97ec6\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=693082;https://tidy3d.simulation.cloud/workbench?taskId=fdve-878b9d4a-f7bc-4741-9567-1cb786b97ec6\u001b\\\u001b[32m-878b9d4a-f7b\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=693082;https://tidy3d.simulation.cloud/workbench?taskId=fdve-878b9d4a-f7bc-4741-9567-1cb786b97ec6\u001b\\\u001b[32mc-4741-9567-1cb786b97ec6'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:24 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.11e-05</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:24 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m5.11e-05\u001b[0m\u001b[31m is greater \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== NA = 0.350  f_offset = 10.62 µm ===\n",
      "  L_sim_xy = 66.20 µm,  L_h = 73.87 µm\n",
      "  trans_z  = -32.484 µm,  focal_z = 35.934 µm\n",
      "  cylinders: 10000\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:25 -03 </span>Loading simulation from local cache. View cached task using web UI \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>at                                                                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-2c0ad843-bab0-42f3-a1fc-e05829a535b0\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-2c0ad843-bab</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-2c0ad843-bab0-42f3-a1fc-e05829a535b0\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">0-42f3-a1fc-e05829a535b0'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:25 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from local cache. View cached task using web UI \n",
       "\u001b[2;36m             \u001b[0mat                                                                 \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=590785;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2c0ad843-bab0-42f3-a1fc-e05829a535b0\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=2967;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2c0ad843-bab0-42f3-a1fc-e05829a535b0\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=590785;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2c0ad843-bab0-42f3-a1fc-e05829a535b0\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=932755;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2c0ad843-bab0-42f3-a1fc-e05829a535b0\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=590785;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2c0ad843-bab0-42f3-a1fc-e05829a535b0\u001b\\\u001b[32m-2c0ad843-bab\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=590785;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2c0ad843-bab0-42f3-a1fc-e05829a535b0\u001b\\\u001b[32m0-42f3-a1fc-e05829a535b0'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:26 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7.93e-05</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:26 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m7.93e-05\u001b[0m\u001b[31m is greater \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== NA = 0.400  f_offset = 8.56 µm ===\n",
      "  L_sim_xy = 66.20 µm,  L_h = 64.38 µm\n",
      "  trans_z  = -27.740 µm,  focal_z = 31.190 µm\n",
      "  cylinders: 10000\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:27 -03 </span>Loading simulation from local cache. View cached task using web UI \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>at                                                                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-10f30b3d-eaf6-478f-a1bf-e2b4c18210a1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-10f30b3d-eaf</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-10f30b3d-eaf6-478f-a1bf-e2b4c18210a1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">6-478f-a1bf-e2b4c18210a1'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:27 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from local cache. View cached task using web UI \n",
       "\u001b[2;36m             \u001b[0mat                                                                 \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=76042;https://tidy3d.simulation.cloud/workbench?taskId=fdve-10f30b3d-eaf6-478f-a1bf-e2b4c18210a1\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=717093;https://tidy3d.simulation.cloud/workbench?taskId=fdve-10f30b3d-eaf6-478f-a1bf-e2b4c18210a1\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=76042;https://tidy3d.simulation.cloud/workbench?taskId=fdve-10f30b3d-eaf6-478f-a1bf-e2b4c18210a1\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=768745;https://tidy3d.simulation.cloud/workbench?taskId=fdve-10f30b3d-eaf6-478f-a1bf-e2b4c18210a1\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=76042;https://tidy3d.simulation.cloud/workbench?taskId=fdve-10f30b3d-eaf6-478f-a1bf-e2b4c18210a1\u001b\\\u001b[32m-10f30b3d-eaf\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=76042;https://tidy3d.simulation.cloud/workbench?taskId=fdve-10f30b3d-eaf6-478f-a1bf-e2b4c18210a1\u001b\\\u001b[32m6-478f-a1bf-e2b4c18210a1'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:28 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.000125</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:28 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.000125\u001b[0m\u001b[31m is greater \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== NA = 0.450  f_offset = 7.01 µm ===\n",
      "  L_sim_xy = 66.20 µm,  L_h = 56.73 µm\n",
      "  trans_z  = -23.913 µm,  focal_z = 27.363 µm\n",
      "  cylinders: 10000\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:29 -03 </span>Loading simulation from local cache. View cached task using web UI \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>at                                                                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-86615d1a-2564-4d9b-ab60-7cd067abe051\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-86615d1a-256</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-86615d1a-2564-4d9b-ab60-7cd067abe051\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">4-4d9b-ab60-7cd067abe051'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:29 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from local cache. View cached task using web UI \n",
       "\u001b[2;36m             \u001b[0mat                                                                 \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=660021;https://tidy3d.simulation.cloud/workbench?taskId=fdve-86615d1a-2564-4d9b-ab60-7cd067abe051\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=828009;https://tidy3d.simulation.cloud/workbench?taskId=fdve-86615d1a-2564-4d9b-ab60-7cd067abe051\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=660021;https://tidy3d.simulation.cloud/workbench?taskId=fdve-86615d1a-2564-4d9b-ab60-7cd067abe051\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=919957;https://tidy3d.simulation.cloud/workbench?taskId=fdve-86615d1a-2564-4d9b-ab60-7cd067abe051\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=660021;https://tidy3d.simulation.cloud/workbench?taskId=fdve-86615d1a-2564-4d9b-ab60-7cd067abe051\u001b\\\u001b[32m-86615d1a-256\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=660021;https://tidy3d.simulation.cloud/workbench?taskId=fdve-86615d1a-2564-4d9b-ab60-7cd067abe051\u001b\\\u001b[32m4-4d9b-ab60-7cd067abe051'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:30 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.000226</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:30 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.000226\u001b[0m\u001b[31m is greater \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== NA = 0.500  f_offset = 5.46 µm ===\n",
      "  L_sim_xy = 66.20 µm,  L_h = 50.70 µm\n",
      "  trans_z  = -20.902 µm,  focal_z = 24.352 µm\n",
      "  cylinders: 10000\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:31 -03 </span>Loading simulation from local cache. View cached task using web UI \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>at                                                                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-9a6ec854-c869-4fd0-a582-1272bec8a75e\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-9a6ec854-c86</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-9a6ec854-c869-4fd0-a582-1272bec8a75e\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">9-4fd0-a582-1272bec8a75e'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:31 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from local cache. View cached task using web UI \n",
       "\u001b[2;36m             \u001b[0mat                                                                 \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=367534;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9a6ec854-c869-4fd0-a582-1272bec8a75e\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=112914;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9a6ec854-c869-4fd0-a582-1272bec8a75e\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=367534;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9a6ec854-c869-4fd0-a582-1272bec8a75e\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=2968;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9a6ec854-c869-4fd0-a582-1272bec8a75e\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=367534;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9a6ec854-c869-4fd0-a582-1272bec8a75e\u001b\\\u001b[32m-9a6ec854-c86\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=367534;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9a6ec854-c869-4fd0-a582-1272bec8a75e\u001b\\\u001b[32m9-4fd0-a582-1272bec8a75e'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:32 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.000289</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:32 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.000289\u001b[0m\u001b[31m is greater \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== NA = 0.550  f_offset = 4.43 µm ===\n",
      "  L_sim_xy = 66.20 µm,  L_h = 45.33 µm\n",
      "  trans_z  = -18.215 µm,  focal_z = 21.665 µm\n",
      "  cylinders: 10000\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:33 -03 </span>Loading simulation from local cache. View cached task using web UI \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>at                                                                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-3eb4c5b3-417c-41f7-a0c6-670e72d138a8\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-3eb4c5b3-417</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-3eb4c5b3-417c-41f7-a0c6-670e72d138a8\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">c-41f7-a0c6-670e72d138a8'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:33 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from local cache. View cached task using web UI \n",
       "\u001b[2;36m             \u001b[0mat                                                                 \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=327886;https://tidy3d.simulation.cloud/workbench?taskId=fdve-3eb4c5b3-417c-41f7-a0c6-670e72d138a8\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=538531;https://tidy3d.simulation.cloud/workbench?taskId=fdve-3eb4c5b3-417c-41f7-a0c6-670e72d138a8\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=327886;https://tidy3d.simulation.cloud/workbench?taskId=fdve-3eb4c5b3-417c-41f7-a0c6-670e72d138a8\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=204583;https://tidy3d.simulation.cloud/workbench?taskId=fdve-3eb4c5b3-417c-41f7-a0c6-670e72d138a8\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=327886;https://tidy3d.simulation.cloud/workbench?taskId=fdve-3eb4c5b3-417c-41f7-a0c6-670e72d138a8\u001b\\\u001b[32m-3eb4c5b3-417\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=327886;https://tidy3d.simulation.cloud/workbench?taskId=fdve-3eb4c5b3-417c-41f7-a0c6-670e72d138a8\u001b\\\u001b[32mc-41f7-a0c6-670e72d138a8'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:34 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.000531</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:34 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.000531\u001b[0m\u001b[31m is greater \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== NA = 0.600  f_offset = 3.65 µm ===\n",
      "  L_sim_xy = 66.20 µm,  L_h = 40.55 µm\n",
      "  trans_z  = -15.825 µm,  focal_z = 19.275 µm\n",
      "  cylinders: 10000\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:35 -03 </span>Loading simulation from local cache. View cached task using web UI \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>at                                                                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-64013935-7af0-40cc-9e54-99b27bf37801\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-64013935-7af</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-64013935-7af0-40cc-9e54-99b27bf37801\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">0-40cc-9e54-99b27bf37801'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:35 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from local cache. View cached task using web UI \n",
       "\u001b[2;36m             \u001b[0mat                                                                 \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=368332;https://tidy3d.simulation.cloud/workbench?taskId=fdve-64013935-7af0-40cc-9e54-99b27bf37801\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=491658;https://tidy3d.simulation.cloud/workbench?taskId=fdve-64013935-7af0-40cc-9e54-99b27bf37801\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=368332;https://tidy3d.simulation.cloud/workbench?taskId=fdve-64013935-7af0-40cc-9e54-99b27bf37801\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=126817;https://tidy3d.simulation.cloud/workbench?taskId=fdve-64013935-7af0-40cc-9e54-99b27bf37801\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=368332;https://tidy3d.simulation.cloud/workbench?taskId=fdve-64013935-7af0-40cc-9e54-99b27bf37801\u001b\\\u001b[32m-64013935-7af\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=368332;https://tidy3d.simulation.cloud/workbench?taskId=fdve-64013935-7af0-40cc-9e54-99b27bf37801\u001b\\\u001b[32m0-40cc-9e54-99b27bf37801'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:36 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.000865</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:36 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.000865\u001b[0m\u001b[31m is greater \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== NA = 0.650  f_offset = 2.88 µm ===\n",
      "  L_sim_xy = 66.20 µm,  L_h = 36.40 µm\n",
      "  trans_z  = -13.749 µm,  focal_z = 17.199 µm\n",
      "  cylinders: 10000\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:37 -03 </span>Loading simulation from local cache. View cached task using web UI \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>at                                                                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-281398e5-90a5-45ef-800d-52c142fd98ca\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-281398e5-90a</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-281398e5-90a5-45ef-800d-52c142fd98ca\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">5-45ef-800d-52c142fd98ca'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:37 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from local cache. View cached task using web UI \n",
       "\u001b[2;36m             \u001b[0mat                                                                 \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=174177;https://tidy3d.simulation.cloud/workbench?taskId=fdve-281398e5-90a5-45ef-800d-52c142fd98ca\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=194857;https://tidy3d.simulation.cloud/workbench?taskId=fdve-281398e5-90a5-45ef-800d-52c142fd98ca\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=174177;https://tidy3d.simulation.cloud/workbench?taskId=fdve-281398e5-90a5-45ef-800d-52c142fd98ca\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=324120;https://tidy3d.simulation.cloud/workbench?taskId=fdve-281398e5-90a5-45ef-800d-52c142fd98ca\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=174177;https://tidy3d.simulation.cloud/workbench?taskId=fdve-281398e5-90a5-45ef-800d-52c142fd98ca\u001b\\\u001b[32m-281398e5-90a\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=174177;https://tidy3d.simulation.cloud/workbench?taskId=fdve-281398e5-90a5-45ef-800d-52c142fd98ca\u001b\\\u001b[32m5-45ef-800d-52c142fd98ca'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:38 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00111</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:38 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.00111\u001b[0m\u001b[31m is greater  \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== NA = 0.700  f_offset = 2.09 µm ===\n",
      "  L_sim_xy = 66.20 µm,  L_h = 32.71 µm\n",
      "  trans_z  = -11.907 µm,  focal_z = 15.357 µm\n",
      "  cylinders: 10000\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:39 -03 </span>Loading simulation from local cache. View cached task using web UI \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>at                                                                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-6f8786f2-a294-4b9c-966b-84b5d088a5fc\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-6f8786f2-a29</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-6f8786f2-a294-4b9c-966b-84b5d088a5fc\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">4-4b9c-966b-84b5d088a5fc'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:39 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from local cache. View cached task using web UI \n",
       "\u001b[2;36m             \u001b[0mat                                                                 \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=96393;https://tidy3d.simulation.cloud/workbench?taskId=fdve-6f8786f2-a294-4b9c-966b-84b5d088a5fc\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=484866;https://tidy3d.simulation.cloud/workbench?taskId=fdve-6f8786f2-a294-4b9c-966b-84b5d088a5fc\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=96393;https://tidy3d.simulation.cloud/workbench?taskId=fdve-6f8786f2-a294-4b9c-966b-84b5d088a5fc\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=311720;https://tidy3d.simulation.cloud/workbench?taskId=fdve-6f8786f2-a294-4b9c-966b-84b5d088a5fc\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=96393;https://tidy3d.simulation.cloud/workbench?taskId=fdve-6f8786f2-a294-4b9c-966b-84b5d088a5fc\u001b\\\u001b[32m-6f8786f2-a29\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=96393;https://tidy3d.simulation.cloud/workbench?taskId=fdve-6f8786f2-a294-4b9c-966b-84b5d088a5fc\u001b\\\u001b[32m4-4b9c-966b-84b5d088a5fc'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:41 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00208</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:41 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.00208\u001b[0m\u001b[31m is greater  \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== NA = 0.750  f_offset = 1.58 µm ===\n",
      "  L_sim_xy = 66.20 µm,  L_h = 29.07 µm\n",
      "  trans_z  = -10.087 µm,  focal_z = 13.537 µm\n",
      "  cylinders: 10000\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:42 -03 </span>Loading simulation from local cache. View cached task using web UI \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>at                                                                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-46b909ec-ccbf-4480-8195-15b03b44db9f\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-46b909ec-ccb</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-46b909ec-ccbf-4480-8195-15b03b44db9f\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">f-4480-8195-15b03b44db9f'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:42 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from local cache. View cached task using web UI \n",
       "\u001b[2;36m             \u001b[0mat                                                                 \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=37152;https://tidy3d.simulation.cloud/workbench?taskId=fdve-46b909ec-ccbf-4480-8195-15b03b44db9f\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=414743;https://tidy3d.simulation.cloud/workbench?taskId=fdve-46b909ec-ccbf-4480-8195-15b03b44db9f\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=37152;https://tidy3d.simulation.cloud/workbench?taskId=fdve-46b909ec-ccbf-4480-8195-15b03b44db9f\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=269199;https://tidy3d.simulation.cloud/workbench?taskId=fdve-46b909ec-ccbf-4480-8195-15b03b44db9f\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=37152;https://tidy3d.simulation.cloud/workbench?taskId=fdve-46b909ec-ccbf-4480-8195-15b03b44db9f\u001b\\\u001b[32m-46b909ec-ccb\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=37152;https://tidy3d.simulation.cloud/workbench?taskId=fdve-46b909ec-ccbf-4480-8195-15b03b44db9f\u001b\\\u001b[32mf-4480-8195-15b03b44db9f'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:43 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00286</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:43 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.00286\u001b[0m\u001b[31m is greater  \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== NA = 0.800  f_offset = 1.07 µm ===\n",
      "  L_sim_xy = 66.20 µm,  L_h = 25.63 µm\n",
      "  trans_z  = -8.367 µm,  focal_z = 11.817 µm\n",
      "  cylinders: 10000\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:44 -03 </span>Loading simulation from local cache. View cached task using web UI \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>at                                                                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f6f80f8-dfcc-4b91-9666-ae6665576a24\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f6f80f8-dfc</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f6f80f8-dfcc-4b91-9666-ae6665576a24\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">c-4b91-9666-ae6665576a24'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:44 -03\u001b[0m\u001b[2;36m \u001b[0mLoading simulation from local cache. View cached task using web UI \n",
       "\u001b[2;36m             \u001b[0mat                                                                 \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=411051;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f6f80f8-dfcc-4b91-9666-ae6665576a24\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=277193;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f6f80f8-dfcc-4b91-9666-ae6665576a24\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=411051;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f6f80f8-dfcc-4b91-9666-ae6665576a24\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=636643;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f6f80f8-dfcc-4b91-9666-ae6665576a24\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=411051;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f6f80f8-dfcc-4b91-9666-ae6665576a24\u001b\\\u001b[32m-9f6f80f8-dfc\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=411051;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f6f80f8-dfcc-4b91-9666-ae6665576a24\u001b\\\u001b[32mc-4b91-9666-ae6665576a24'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:45 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0059</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:45 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.0059\u001b[0m\u001b[31m is greater   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "All NA-sweep (no-wire) runs complete.\n"
     ]
    }
   ],
   "source": [
    "def build_metalens_sim_no_wire(na, f_offset, L=L_METALENS, det_w=5.0):\n",
    "    \"\"\"\n",
    "    Build an FDTD simulation for the bare metalens (no nanowires, no PEC).\n",
    "\n",
    "    Uses f = f00 - h_ant - f_offset as the back focal length.\n",
    "    \"\"\"\n",
    "    # Effective back focal length\n",
    "    f00 = (L/2) / np.tan(np.arcsin(na))\n",
    "    f   = f00 - H_ANT - f_offset\n",
    "\n",
    "    # Lateral simulation size\n",
    "    L_sim_xy = L + 2 * XY_BUFFER\n",
    "\n",
    "    # z layout\n",
    "    z_below_sub = 2 * LDA                                    # source + PML buffer below\n",
    "    z_above     = f + 1.0                                    # focal plane + 1 µm margin\n",
    "    L_h         = z_below_sub + SUB_T + H_ANT + z_above\n",
    "    sub_z       = -L_h/2 + z_below_sub + SUB_T/2\n",
    "    metalens_top = sub_z + SUB_T/2 + H_ANT\n",
    "    trans_z     = metalens_top + 0.4                         # 400 nm above metalens\n",
    "    focal_z     = metalens_top + f                           # focal plane\n",
    "\n",
    "    # --- Substrate ---\n",
    "    metalens_sub = td.Structure(\n",
    "        geometry=td.Box(center=[0, 0, sub_z],\n",
    "                        size=[td.inf, td.inf, SUB_T]),\n",
    "        name=\"metalens_sub\", medium=SIO2,\n",
    "    )\n",
    "\n",
    "    # --- Metalens cylinders ---\n",
    "    cyls, _ = metalens_cylinders(L, na, CELL_SIZE, NUM_CELLS, RADII, LDA,\n",
    "                                 sub_z=sub_z, sub_t=SUB_T, h_ant=H_ANT)\n",
    "    metalens = td.Structure(\n",
    "        geometry=td.GeometryGroup(geometries=cyls),\n",
    "        medium=SILICON, name=\"metalens\",\n",
    "    )\n",
    "\n",
    "    # --- Source: plane wave restricted to the metalens aperture ---\n",
    "    src = td.PlaneWave(\n",
    "        name=\"x_pol\",\n",
    "        center=[0, 0, sub_z - SUB_T],\n",
    "        size=[L, L, 0],\n",
    "        source_time=td.GaussianPulse(freq0=F0, fwidth=F0/5),\n",
    "        num_freqs=1, direction=\"+\",\n",
    "    )\n",
    "\n",
    "    # --- Monitors ---\n",
    "    freqs = [F0]\n",
    "    trans_flux = td.FluxMonitor(\n",
    "        name=\"trans_flux\",\n",
    "        center=[0, 0, trans_z],\n",
    "        size=[L_sim_xy, L_sim_xy, 0],\n",
    "        freqs=freqs,\n",
    "    )\n",
    "    detector_flux = td.FluxMonitor(\n",
    "        name=\"detector_flux\",\n",
    "        center=[0, 0, focal_z],\n",
    "        size=[det_w, det_w, 0],\n",
    "        freqs=freqs,\n",
    "    )\n",
    "    field_xz = td.FieldMonitor(\n",
    "        name=\"field_xz\",\n",
    "        size=[td.inf, 0, td.inf],\n",
    "        freqs=freqs,\n",
    "        fields=[\"Ex\", \"Ey\", \"Ez\"],\n",
    "    )\n",
    "\n",
    "    sim = td.Simulation(\n",
    "        size=(L_sim_xy, L_sim_xy, L_h),\n",
    "        grid_spec=td.GridSpec.auto(wavelength=LDA, min_steps_per_wvl=6),\n",
    "        structures=[metalens_sub, metalens],\n",
    "        boundary_spec=td.BoundarySpec(\n",
    "            x=td.Boundary.pml(),\n",
    "            y=td.Boundary.pml(),\n",
    "            z=td.Boundary.pml(),\n",
    "        ),\n",
    "        sources=[src],\n",
    "        monitors=[trans_flux, detector_flux, field_xz],\n",
    "        run_time=2 * L_h * 1e-14,\n",
    "    )\n",
    "    return sim, dict(L_sim_xy=L_sim_xy, L_h=L_h, sub_z=sub_z,\n",
    "                     trans_z=trans_z, focal_z=focal_z, n_cyl=len(cyls))\n",
    "\n",
    "\n",
    "# --- Launch the sweep ---\n",
    "for na, f_offset in zip(NA_LIST, F_OFFSET_LIST):\n",
    "    sim, info = build_metalens_sim_no_wire(na, f_offset)\n",
    "    print(f\"\\n=== NA = {na:.3f}  f_offset = {f_offset:.2f} µm ===\")\n",
    "    print(f\"  L_sim_xy = {info['L_sim_xy']:.2f} µm,  L_h = {info['L_h']:.2f} µm\")\n",
    "    print(f\"  trans_z  = {info['trans_z']:.3f} µm,  focal_z = {info['focal_z']:.3f} µm\")\n",
    "    print(f\"  cylinders: {info['n_cyl']}\")\n",
    "\n",
    "    web.run(\n",
    "        sim,\n",
    "        task_name=f\"Tdet_NA{na:.2f}\",\n",
    "        path=os.path.join(DATA_DIR, f\"Tdet_NA{na:.2f}.hdf5\"),\n",
    "        verbose=True,\n",
    "    )\n",
    "\n",
    "print(\"\\nAll NA-sweep (no-wire) runs complete.\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "45f9f02f82d2",
   "metadata": {},
   "source": [
    "## 6. NA Sweep #2 — Absorption With NbTiN Nanowire Meander\n",
    "\n",
    "This second sweep places a 5 × 5 µm² **NbTiN nanowire meander** at the focal plane, inside a thin SiO₂ cavity bounded above by a **PEC mirror**. The cavity reuses light not absorbed on the first pass, improving overall absorption — this is the standard quarter-wave-cavity geometry for SNSPDs.\n",
    "\n",
    "We extract the absorbed power by integrating $\\tfrac{1}{2}\\sigma|E|^2$ over the nanowire volume in post-processing (Section 6).\n",
    "\n",
    "**FlexCredit note:** thirteen more 3D FDTD simulations are launched here. The mesh is refined locally to resolve the 8 nm-thick nanowire (`MeshOverrideStructure` with sub-nm `dl` along z).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "510d88071dfd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== NA = 0.200  f_offset = 24.83 µm ===\n",
      "  cylinders = 10000,  L_h = 123.54 µm\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:48 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'absorption_NA0.20'</span> with resource_id                  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-592af19f-24fa-432d-9e7f-2a5d759fa32c'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:48 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'absorption_NA0.20'\u001b[0m with resource_id                  \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-592af19f-24fa-432d-9e7f-2a5d759fa32c'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-592af19f-24fa-432d-9e7f-2a5d759fa32c\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-592af19f-24f</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-592af19f-24fa-432d-9e7f-2a5d759fa32c\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">a-432d-9e7f-2a5d759fa32c'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=283800;https://tidy3d.simulation.cloud/workbench?taskId=fdve-592af19f-24fa-432d-9e7f-2a5d759fa32c\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=33150;https://tidy3d.simulation.cloud/workbench?taskId=fdve-592af19f-24fa-432d-9e7f-2a5d759fa32c\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=283800;https://tidy3d.simulation.cloud/workbench?taskId=fdve-592af19f-24fa-432d-9e7f-2a5d759fa32c\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=582722;https://tidy3d.simulation.cloud/workbench?taskId=fdve-592af19f-24fa-432d-9e7f-2a5d759fa32c\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=283800;https://tidy3d.simulation.cloud/workbench?taskId=fdve-592af19f-24fa-432d-9e7f-2a5d759fa32c\u001b\\\u001b[32m-592af19f-24f\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=283800;https://tidy3d.simulation.cloud/workbench?taskId=fdve-592af19f-24fa-432d-9e7f-2a5d759fa32c\u001b\\\u001b[32ma-432d-9e7f-2a5d759fa32c'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=132386;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "89e3bef567a64d3ca81dad696c48dd53",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:55 -03 </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">47.206</span>. Minimum cost depends on task    \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:55 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m47.206\u001b[0m. Minimum cost depends on task    \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:52:57 -03 </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:52:57 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "682c9091854844c9ae545bca518428d3",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:59:31 -03 </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:59:31 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:59:42 -03 </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m13:59:42 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "38ff756465d34af7b1fe2e3fbec15ddf",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:33:58 -03 </span>status = postprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:33:58 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1f8ffc79b5ab4fcfab638273f2a8b33d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:34:04 -03 </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:34:04 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:34:06 -03 </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-592af19f-24fa-432d-9e7f-2a5d759fa32c\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-592af19f-24f</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-592af19f-24fa-432d-9e7f-2a5d759fa32c\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">a-432d-9e7f-2a5d759fa32c'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:34:06 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=593009;https://tidy3d.simulation.cloud/workbench?taskId=fdve-592af19f-24fa-432d-9e7f-2a5d759fa32c\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=744385;https://tidy3d.simulation.cloud/workbench?taskId=fdve-592af19f-24fa-432d-9e7f-2a5d759fa32c\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=593009;https://tidy3d.simulation.cloud/workbench?taskId=fdve-592af19f-24fa-432d-9e7f-2a5d759fa32c\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=598352;https://tidy3d.simulation.cloud/workbench?taskId=fdve-592af19f-24fa-432d-9e7f-2a5d759fa32c\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=593009;https://tidy3d.simulation.cloud/workbench?taskId=fdve-592af19f-24fa-432d-9e7f-2a5d759fa32c\u001b\\\u001b[4;34m-592af19f-24f\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=593009;https://tidy3d.simulation.cloud/workbench?taskId=fdve-592af19f-24fa-432d-9e7f-2a5d759fa32c\u001b\\\u001b[4;34ma-432d-9e7f-2a5d759fa32c'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
     },
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     "output_type": "display_data"
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    {
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       "version_minor": 0
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      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:34:28 -03 </span>Loading results from data/absorption_NA0.<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">20.</span>hdf5                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:34:28 -03\u001b[0m\u001b[2;36m \u001b[0mLoading results from data/absorption_NA0.\u001b[1;36m20.\u001b[0mhdf5                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:34:29 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00134</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:34:29 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.00134\u001b[0m\u001b[31m is greater  \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== NA = 0.250  f_offset = 17.60 µm ===\n",
      "  cylinders = 10000,  L_h = 99.99 µm\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:34:31 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'absorption_NA0.25'</span> with resource_id                  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-8914b5de-76a8-4dee-b211-ec1774c75a72'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:34:31 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'absorption_NA0.25'\u001b[0m with resource_id                  \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-8914b5de-76a8-4dee-b211-ec1774c75a72'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-8914b5de-76a8-4dee-b211-ec1774c75a72\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-8914b5de-76a</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-8914b5de-76a8-4dee-b211-ec1774c75a72\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">8-4dee-b211-ec1774c75a72'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=581813;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8914b5de-76a8-4dee-b211-ec1774c75a72\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=91453;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8914b5de-76a8-4dee-b211-ec1774c75a72\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=581813;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8914b5de-76a8-4dee-b211-ec1774c75a72\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=556361;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8914b5de-76a8-4dee-b211-ec1774c75a72\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=581813;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8914b5de-76a8-4dee-b211-ec1774c75a72\u001b\\\u001b[32m-8914b5de-76a\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=581813;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8914b5de-76a8-4dee-b211-ec1774c75a72\u001b\\\u001b[32m8-4dee-b211-ec1774c75a72'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=35432;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "dbd4070b2e7b435cb04b1ef24501a2bc",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:34:38 -03 </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">36.612</span>. Minimum cost depends on task    \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:34:38 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m36.612\u001b[0m. Minimum cost depends on task    \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:34:40 -03 </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:34:40 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f497752c2122400ca00454a9f206df9c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:42:40 -03 </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:42:40 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:42:46 -03 </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:42:46 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "824d93107023449cbea079082eda02a5",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:59:12 -03 </span>status = postprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:59:12 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7b20f841a6fc4909b8960af8e609ddb2",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:59:15 -03 </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:59:15 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:59:17 -03 </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-8914b5de-76a8-4dee-b211-ec1774c75a72\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-8914b5de-76a</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-8914b5de-76a8-4dee-b211-ec1774c75a72\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">8-4dee-b211-ec1774c75a72'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:59:17 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=566358;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8914b5de-76a8-4dee-b211-ec1774c75a72\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=910239;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8914b5de-76a8-4dee-b211-ec1774c75a72\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=566358;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8914b5de-76a8-4dee-b211-ec1774c75a72\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=114934;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8914b5de-76a8-4dee-b211-ec1774c75a72\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=566358;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8914b5de-76a8-4dee-b211-ec1774c75a72\u001b\\\u001b[4;34m-8914b5de-76a\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=566358;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8914b5de-76a8-4dee-b211-ec1774c75a72\u001b\\\u001b[4;34m8-4dee-b211-ec1774c75a72'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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    {
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:59:35 -03 </span>Loading results from data/absorption_NA0.<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">25.</span>hdf5                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:59:35 -03\u001b[0m\u001b[2;36m \u001b[0mLoading results from data/absorption_NA0.\u001b[1;36m25.\u001b[0mhdf5                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:59:36 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00143</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:59:36 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.00143\u001b[0m\u001b[31m is greater  \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== NA = 0.300  f_offset = 13.72 µm ===\n",
      "  cylinders = 10000,  L_h = 83.07 µm\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:59:39 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'absorption_NA0.30'</span> with resource_id                  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-1ef93289-bf58-4cc6-ad0f-d2768e8008d9'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:59:39 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'absorption_NA0.30'\u001b[0m with resource_id                  \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-1ef93289-bf58-4cc6-ad0f-d2768e8008d9'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-1ef93289-bf58-4cc6-ad0f-d2768e8008d9\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-1ef93289-bf5</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-1ef93289-bf58-4cc6-ad0f-d2768e8008d9\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">8-4cc6-ad0f-d2768e8008d9'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=190479;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1ef93289-bf58-4cc6-ad0f-d2768e8008d9\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=676996;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1ef93289-bf58-4cc6-ad0f-d2768e8008d9\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=190479;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1ef93289-bf58-4cc6-ad0f-d2768e8008d9\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=920758;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1ef93289-bf58-4cc6-ad0f-d2768e8008d9\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=190479;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1ef93289-bf58-4cc6-ad0f-d2768e8008d9\u001b\\\u001b[32m-1ef93289-bf5\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=190479;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1ef93289-bf58-4cc6-ad0f-d2768e8008d9\u001b\\\u001b[32m8-4cc6-ad0f-d2768e8008d9'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=507435;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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    {
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       "model_id": "71ceee46c6044d9cbb584442bab0faf7",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:59:46 -03 </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">29.382</span>. Minimum cost depends on task    \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:59:46 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m29.382\u001b[0m. Minimum cost depends on task    \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:59:48 -03 </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:59:48 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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    {
     "data": {
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       "model_id": "dc1823024e0a449abd9e2ae5deba6991",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:00:04 -03 </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:00:04 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
      ]
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     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:00:17 -03 </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:00:17 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:00:18 -03 </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:00:18 -03\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "Output()"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:17:24 -03 </span>status = postprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:17:24 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "model_id": "4686e169586943f48e458e35c67995c4",
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       "version_minor": 0
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:17:30 -03 </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:17:30 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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      "text/plain": []
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:17:32 -03 </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-1ef93289-bf58-4cc6-ad0f-d2768e8008d9\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-1ef93289-bf5</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-1ef93289-bf58-4cc6-ad0f-d2768e8008d9\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">8-4cc6-ad0f-d2768e8008d9'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:17:32 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=303263;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1ef93289-bf58-4cc6-ad0f-d2768e8008d9\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=937226;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1ef93289-bf58-4cc6-ad0f-d2768e8008d9\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=303263;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1ef93289-bf58-4cc6-ad0f-d2768e8008d9\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=35612;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1ef93289-bf58-4cc6-ad0f-d2768e8008d9\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=303263;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1ef93289-bf58-4cc6-ad0f-d2768e8008d9\u001b\\\u001b[4;34m-1ef93289-bf5\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=303263;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1ef93289-bf58-4cc6-ad0f-d2768e8008d9\u001b\\\u001b[4;34m8-4cc6-ad0f-d2768e8008d9'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
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       "Output()"
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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    {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
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       "\n"
      ]
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:17:55 -03 </span>Loading results from data/absorption_NA0.<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">30.</span>hdf5                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:17:55 -03\u001b[0m\u001b[2;36m \u001b[0mLoading results from data/absorption_NA0.\u001b[1;36m30.\u001b[0mhdf5                   \n"
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:17:56 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00185</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:17:56 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.00185\u001b[0m\u001b[31m is greater  \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== NA = 0.350  f_offset = 10.62 µm ===\n",
      "  cylinders = 10000,  L_h = 71.07 µm\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:17:58 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'absorption_NA0.35'</span> with resource_id                  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-4a9744ed-93a0-498d-9d53-2beaf7f85ffb'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:17:58 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'absorption_NA0.35'\u001b[0m with resource_id                  \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-4a9744ed-93a0-498d-9d53-2beaf7f85ffb'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-4a9744ed-93a0-498d-9d53-2beaf7f85ffb\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-4a9744ed-93a</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-4a9744ed-93a0-498d-9d53-2beaf7f85ffb\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">0-498d-9d53-2beaf7f85ffb'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=792671;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4a9744ed-93a0-498d-9d53-2beaf7f85ffb\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=70235;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4a9744ed-93a0-498d-9d53-2beaf7f85ffb\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=792671;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4a9744ed-93a0-498d-9d53-2beaf7f85ffb\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=528317;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4a9744ed-93a0-498d-9d53-2beaf7f85ffb\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=792671;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4a9744ed-93a0-498d-9d53-2beaf7f85ffb\u001b\\\u001b[32m-4a9744ed-93a\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=792671;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4a9744ed-93a0-498d-9d53-2beaf7f85ffb\u001b\\\u001b[32m0-498d-9d53-2beaf7f85ffb'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=395311;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "model_id": "878771ddc4a34976b90b26ba548064a9",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:18:05 -03 </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">24.249</span>. Minimum cost depends on task    \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:18:05 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m24.249\u001b[0m. Minimum cost depends on task    \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:18:07 -03 </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:18:07 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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    {
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       "version_minor": 0
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      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:18:20 -03 </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:18:20 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:18:31 -03 </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:18:31 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:18:32 -03 </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:18:32 -03\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "Output()"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:28:12 -03 </span>status = postprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:28:12 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "version_minor": 0
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:28:21 -03 </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:28:21 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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      "text/plain": []
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:28:23 -03 </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-4a9744ed-93a0-498d-9d53-2beaf7f85ffb\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-4a9744ed-93a</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-4a9744ed-93a0-498d-9d53-2beaf7f85ffb\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">0-498d-9d53-2beaf7f85ffb'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:28:23 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=1324;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4a9744ed-93a0-498d-9d53-2beaf7f85ffb\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=380039;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4a9744ed-93a0-498d-9d53-2beaf7f85ffb\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=1324;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4a9744ed-93a0-498d-9d53-2beaf7f85ffb\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=373345;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4a9744ed-93a0-498d-9d53-2beaf7f85ffb\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=1324;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4a9744ed-93a0-498d-9d53-2beaf7f85ffb\u001b\\\u001b[4;34m-4a9744ed-93a\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=1324;https://tidy3d.simulation.cloud/workbench?taskId=fdve-4a9744ed-93a0-498d-9d53-2beaf7f85ffb\u001b\\\u001b[4;34m0-498d-9d53-2beaf7f85ffb'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
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       "Output()"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:28:42 -03 </span>Loading results from data/absorption_NA0.<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">35.</span>hdf5                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:28:42 -03\u001b[0m\u001b[2;36m \u001b[0mLoading results from data/absorption_NA0.\u001b[1;36m35.\u001b[0mhdf5                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00195</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.00195\u001b[0m\u001b[31m is greater  \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
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     "metadata": {},
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    },
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== NA = 0.400  f_offset = 8.56 µm ===\n",
      "  cylinders = 10000,  L_h = 61.58 µm\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:28:45 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'absorption_NA0.40'</span> with resource_id                  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-319414c3-1653-4f10-a268-3f61194904e8'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:28:45 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'absorption_NA0.40'\u001b[0m with resource_id                  \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-319414c3-1653-4f10-a268-3f61194904e8'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
      ]
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-319414c3-1653-4f10-a268-3f61194904e8\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-319414c3-165</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-319414c3-1653-4f10-a268-3f61194904e8\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">3-4f10-a268-3f61194904e8'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=682515;https://tidy3d.simulation.cloud/workbench?taskId=fdve-319414c3-1653-4f10-a268-3f61194904e8\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=497645;https://tidy3d.simulation.cloud/workbench?taskId=fdve-319414c3-1653-4f10-a268-3f61194904e8\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=682515;https://tidy3d.simulation.cloud/workbench?taskId=fdve-319414c3-1653-4f10-a268-3f61194904e8\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=776914;https://tidy3d.simulation.cloud/workbench?taskId=fdve-319414c3-1653-4f10-a268-3f61194904e8\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=682515;https://tidy3d.simulation.cloud/workbench?taskId=fdve-319414c3-1653-4f10-a268-3f61194904e8\u001b\\\u001b[32m-319414c3-165\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=682515;https://tidy3d.simulation.cloud/workbench?taskId=fdve-319414c3-1653-4f10-a268-3f61194904e8\u001b\\\u001b[32m3-4f10-a268-3f61194904e8'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=824632;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
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      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:28:51 -03 </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">18.927</span>. Minimum cost depends on task    \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:28:51 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m18.927\u001b[0m. Minimum cost depends on task    \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:28:53 -03 </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:28:53 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
      ]
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     "metadata": {},
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       "Output()"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:29:04 -03 </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:29:04 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:29:20 -03 </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:29:20 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:29:21 -03 </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:29:21 -03\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
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       "Output()"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:33:38 -03 </span>status = postprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:33:38 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
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     "metadata": {},
     "output_type": "display_data"
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    {
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       "Output()"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:33:44 -03 </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:33:44 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
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     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:33:46 -03 </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-319414c3-1653-4f10-a268-3f61194904e8\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-319414c3-165</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-319414c3-1653-4f10-a268-3f61194904e8\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">3-4f10-a268-3f61194904e8'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:33:46 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=137223;https://tidy3d.simulation.cloud/workbench?taskId=fdve-319414c3-1653-4f10-a268-3f61194904e8\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=257034;https://tidy3d.simulation.cloud/workbench?taskId=fdve-319414c3-1653-4f10-a268-3f61194904e8\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=137223;https://tidy3d.simulation.cloud/workbench?taskId=fdve-319414c3-1653-4f10-a268-3f61194904e8\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=560306;https://tidy3d.simulation.cloud/workbench?taskId=fdve-319414c3-1653-4f10-a268-3f61194904e8\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=137223;https://tidy3d.simulation.cloud/workbench?taskId=fdve-319414c3-1653-4f10-a268-3f61194904e8\u001b\\\u001b[4;34m-319414c3-165\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=137223;https://tidy3d.simulation.cloud/workbench?taskId=fdve-319414c3-1653-4f10-a268-3f61194904e8\u001b\\\u001b[4;34m3-4f10-a268-3f61194904e8'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
     },
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       "Output()"
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:33:53 -03 </span>Loading results from data/absorption_NA0.<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">40.</span>hdf5                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:33:53 -03\u001b[0m\u001b[2;36m \u001b[0mLoading results from data/absorption_NA0.\u001b[1;36m40.\u001b[0mhdf5                   \n"
      ]
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     "metadata": {},
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    },
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:33:55 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00273</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:33:55 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.00273\u001b[0m\u001b[31m is greater  \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
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     "text": [
      "\n",
      "=== NA = 0.450  f_offset = 7.01 µm ===\n",
      "  cylinders = 10000,  L_h = 53.93 µm\n"
     ]
    },
    {
     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:33:58 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'absorption_NA0.45'</span> with resource_id                  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-06f9c6cb-a6c1-4595-be8d-071b99e0aa5d'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:33:58 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'absorption_NA0.45'\u001b[0m with resource_id                  \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-06f9c6cb-a6c1-4595-be8d-071b99e0aa5d'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-06f9c6cb-a6c1-4595-be8d-071b99e0aa5d\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-06f9c6cb-a6c</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-06f9c6cb-a6c1-4595-be8d-071b99e0aa5d\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">1-4595-be8d-071b99e0aa5d'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=851987;https://tidy3d.simulation.cloud/workbench?taskId=fdve-06f9c6cb-a6c1-4595-be8d-071b99e0aa5d\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=13023;https://tidy3d.simulation.cloud/workbench?taskId=fdve-06f9c6cb-a6c1-4595-be8d-071b99e0aa5d\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=851987;https://tidy3d.simulation.cloud/workbench?taskId=fdve-06f9c6cb-a6c1-4595-be8d-071b99e0aa5d\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=826158;https://tidy3d.simulation.cloud/workbench?taskId=fdve-06f9c6cb-a6c1-4595-be8d-071b99e0aa5d\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=851987;https://tidy3d.simulation.cloud/workbench?taskId=fdve-06f9c6cb-a6c1-4595-be8d-071b99e0aa5d\u001b\\\u001b[32m-06f9c6cb-a6c\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=851987;https://tidy3d.simulation.cloud/workbench?taskId=fdve-06f9c6cb-a6c1-4595-be8d-071b99e0aa5d\u001b\\\u001b[32m1-4595-be8d-071b99e0aa5d'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
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     "metadata": {},
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=309352;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
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       "Output()"
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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      "text/plain": []
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:34:05 -03 </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">15.691</span>. Minimum cost depends on task    \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:34:05 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m15.691\u001b[0m. Minimum cost depends on task    \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:34:07 -03 </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:34:07 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
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       "Output()"
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:34:19 -03 </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:34:19 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:34:35 -03 </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:34:35 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:34:36 -03 </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:34:36 -03\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
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       "Output()"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
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     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:38:06 -03 </span>status = postprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:38:06 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
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       "Output()"
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:38:09 -03 </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:38:09 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:38:11 -03 </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-06f9c6cb-a6c1-4595-be8d-071b99e0aa5d\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-06f9c6cb-a6c</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-06f9c6cb-a6c1-4595-be8d-071b99e0aa5d\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">1-4595-be8d-071b99e0aa5d'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:38:11 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=578574;https://tidy3d.simulation.cloud/workbench?taskId=fdve-06f9c6cb-a6c1-4595-be8d-071b99e0aa5d\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=686225;https://tidy3d.simulation.cloud/workbench?taskId=fdve-06f9c6cb-a6c1-4595-be8d-071b99e0aa5d\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=578574;https://tidy3d.simulation.cloud/workbench?taskId=fdve-06f9c6cb-a6c1-4595-be8d-071b99e0aa5d\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=307021;https://tidy3d.simulation.cloud/workbench?taskId=fdve-06f9c6cb-a6c1-4595-be8d-071b99e0aa5d\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=578574;https://tidy3d.simulation.cloud/workbench?taskId=fdve-06f9c6cb-a6c1-4595-be8d-071b99e0aa5d\u001b\\\u001b[4;34m-06f9c6cb-a6c\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=578574;https://tidy3d.simulation.cloud/workbench?taskId=fdve-06f9c6cb-a6c1-4595-be8d-071b99e0aa5d\u001b\\\u001b[4;34m1-4595-be8d-071b99e0aa5d'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
     },
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       "Output()"
      ]
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:38:18 -03 </span>Loading results from data/absorption_NA0.<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">45.</span>hdf5                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:38:18 -03\u001b[0m\u001b[2;36m \u001b[0mLoading results from data/absorption_NA0.\u001b[1;36m45.\u001b[0mhdf5                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:38:19 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00332</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:38:19 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.00332\u001b[0m\u001b[31m is greater  \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== NA = 0.500  f_offset = 5.46 µm ===\n",
      "  cylinders = 10000,  L_h = 47.90 µm\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:38:21 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'absorption_NA0.50'</span> with resource_id                  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-f269b4d7-e541-4338-8d9b-b1841191b34f'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:38:21 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'absorption_NA0.50'\u001b[0m with resource_id                  \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-f269b4d7-e541-4338-8d9b-b1841191b34f'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
      ]
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-f269b4d7-e541-4338-8d9b-b1841191b34f\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-f269b4d7-e54</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-f269b4d7-e541-4338-8d9b-b1841191b34f\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">1-4338-8d9b-b1841191b34f'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=283286;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f269b4d7-e541-4338-8d9b-b1841191b34f\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=628442;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f269b4d7-e541-4338-8d9b-b1841191b34f\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=283286;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f269b4d7-e541-4338-8d9b-b1841191b34f\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=523412;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f269b4d7-e541-4338-8d9b-b1841191b34f\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=283286;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f269b4d7-e541-4338-8d9b-b1841191b34f\u001b\\\u001b[32m-f269b4d7-e54\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=283286;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f269b4d7-e541-4338-8d9b-b1841191b34f\u001b\\\u001b[32m1-4338-8d9b-b1841191b34f'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
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     "metadata": {},
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=930801;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
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       "version_minor": 0
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       "Output()"
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     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:38:27 -03 </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">13.223</span>. Minimum cost depends on task    \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:38:27 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m13.223\u001b[0m. Minimum cost depends on task    \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:38:30 -03 </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:38:30 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
      ]
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     "metadata": {},
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       "Output()"
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     "metadata": {},
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:38:45 -03 </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:38:45 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
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      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:39:01 -03 </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:39:01 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
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       "Output()"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
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    {
     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:42:00 -03 </span>status = postprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:42:00 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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       "model_id": "67c8ce81edcd453b8bd93560525f2515",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
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     "output_type": "display_data"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:42:03 -03 </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:42:03 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:42:05 -03 </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-f269b4d7-e541-4338-8d9b-b1841191b34f\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-f269b4d7-e54</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-f269b4d7-e541-4338-8d9b-b1841191b34f\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">1-4338-8d9b-b1841191b34f'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:42:05 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=773677;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f269b4d7-e541-4338-8d9b-b1841191b34f\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=528497;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f269b4d7-e541-4338-8d9b-b1841191b34f\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=773677;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f269b4d7-e541-4338-8d9b-b1841191b34f\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=933643;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f269b4d7-e541-4338-8d9b-b1841191b34f\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=773677;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f269b4d7-e541-4338-8d9b-b1841191b34f\u001b\\\u001b[4;34m-f269b4d7-e54\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=773677;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f269b4d7-e541-4338-8d9b-b1841191b34f\u001b\\\u001b[4;34m1-4338-8d9b-b1841191b34f'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
     },
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       "Output()"
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:42:12 -03 </span>Loading results from data/absorption_NA0.<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">50.</span>hdf5                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:42:12 -03\u001b[0m\u001b[2;36m \u001b[0mLoading results from data/absorption_NA0.\u001b[1;36m50.\u001b[0mhdf5                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:42:14 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00474</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:42:14 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.00474\u001b[0m\u001b[31m is greater  \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== NA = 0.550  f_offset = 4.43 µm ===\n",
      "  cylinders = 10000,  L_h = 42.53 µm\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:42:17 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'absorption_NA0.55'</span> with resource_id                  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-96d84bcc-1697-443b-b712-59c351a8e22a'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:42:17 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'absorption_NA0.55'\u001b[0m with resource_id                  \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-96d84bcc-1697-443b-b712-59c351a8e22a'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-96d84bcc-1697-443b-b712-59c351a8e22a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-96d84bcc-169</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-96d84bcc-1697-443b-b712-59c351a8e22a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">7-443b-b712-59c351a8e22a'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=701515;https://tidy3d.simulation.cloud/workbench?taskId=fdve-96d84bcc-1697-443b-b712-59c351a8e22a\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=519660;https://tidy3d.simulation.cloud/workbench?taskId=fdve-96d84bcc-1697-443b-b712-59c351a8e22a\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=701515;https://tidy3d.simulation.cloud/workbench?taskId=fdve-96d84bcc-1697-443b-b712-59c351a8e22a\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=96269;https://tidy3d.simulation.cloud/workbench?taskId=fdve-96d84bcc-1697-443b-b712-59c351a8e22a\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=701515;https://tidy3d.simulation.cloud/workbench?taskId=fdve-96d84bcc-1697-443b-b712-59c351a8e22a\u001b\\\u001b[32m-96d84bcc-169\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=701515;https://tidy3d.simulation.cloud/workbench?taskId=fdve-96d84bcc-1697-443b-b712-59c351a8e22a\u001b\\\u001b[32m7-443b-b712-59c351a8e22a'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
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     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=72938;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
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       "Output()"
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:42:23 -03 </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">11.071</span>. Minimum cost depends on task    \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:42:23 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m11.071\u001b[0m. Minimum cost depends on task    \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:42:25 -03 </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:42:25 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
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       "Output()"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:42:48 -03 </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
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       "\u001b[2;36m15:42:48 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:42:56 -03 </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:42:56 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:42:57 -03 </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:42:57 -03\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
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     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:57:33 -03 </span>status = postprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:57:33 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
     },
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    {
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       "Output()"
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     "output_type": "display_data"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:57:39 -03 </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:57:39 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:57:41 -03 </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-96d84bcc-1697-443b-b712-59c351a8e22a\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-96d84bcc-169</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-96d84bcc-1697-443b-b712-59c351a8e22a\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">7-443b-b712-59c351a8e22a'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:57:41 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=292337;https://tidy3d.simulation.cloud/workbench?taskId=fdve-96d84bcc-1697-443b-b712-59c351a8e22a\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=371839;https://tidy3d.simulation.cloud/workbench?taskId=fdve-96d84bcc-1697-443b-b712-59c351a8e22a\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=292337;https://tidy3d.simulation.cloud/workbench?taskId=fdve-96d84bcc-1697-443b-b712-59c351a8e22a\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=98987;https://tidy3d.simulation.cloud/workbench?taskId=fdve-96d84bcc-1697-443b-b712-59c351a8e22a\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=292337;https://tidy3d.simulation.cloud/workbench?taskId=fdve-96d84bcc-1697-443b-b712-59c351a8e22a\u001b\\\u001b[4;34m-96d84bcc-169\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=292337;https://tidy3d.simulation.cloud/workbench?taskId=fdve-96d84bcc-1697-443b-b712-59c351a8e22a\u001b\\\u001b[4;34m7-443b-b712-59c351a8e22a'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
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       "Output()"
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:57:47 -03 </span>Loading results from data/absorption_NA0.<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">55.</span>hdf5                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:57:47 -03\u001b[0m\u001b[2;36m \u001b[0mLoading results from data/absorption_NA0.\u001b[1;36m55.\u001b[0mhdf5                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:57:50 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00659</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:57:50 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.00659\u001b[0m\u001b[31m is greater  \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== NA = 0.600  f_offset = 3.65 µm ===\n",
      "  cylinders = 10000,  L_h = 37.75 µm\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:57:53 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'absorption_NA0.60'</span> with resource_id                  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-35b98f17-31c6-49bd-94c0-ec3899a482b5'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:57:53 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'absorption_NA0.60'\u001b[0m with resource_id                  \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-35b98f17-31c6-49bd-94c0-ec3899a482b5'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
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     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-35b98f17-31c6-49bd-94c0-ec3899a482b5\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-35b98f17-31c</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-35b98f17-31c6-49bd-94c0-ec3899a482b5\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">6-49bd-94c0-ec3899a482b5'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=436999;https://tidy3d.simulation.cloud/workbench?taskId=fdve-35b98f17-31c6-49bd-94c0-ec3899a482b5\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=789678;https://tidy3d.simulation.cloud/workbench?taskId=fdve-35b98f17-31c6-49bd-94c0-ec3899a482b5\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=436999;https://tidy3d.simulation.cloud/workbench?taskId=fdve-35b98f17-31c6-49bd-94c0-ec3899a482b5\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=568531;https://tidy3d.simulation.cloud/workbench?taskId=fdve-35b98f17-31c6-49bd-94c0-ec3899a482b5\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=436999;https://tidy3d.simulation.cloud/workbench?taskId=fdve-35b98f17-31c6-49bd-94c0-ec3899a482b5\u001b\\\u001b[32m-35b98f17-31c\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=436999;https://tidy3d.simulation.cloud/workbench?taskId=fdve-35b98f17-31c6-49bd-94c0-ec3899a482b5\u001b\\\u001b[32m6-49bd-94c0-ec3899a482b5'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=123670;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
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       "Output()"
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
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     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:58:00 -03 </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9.269</span>. Minimum cost depends on task     \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:58:00 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m9.269\u001b[0m. Minimum cost depends on task     \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:58:02 -03 </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:58:02 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
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     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
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       "Output()"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:58:17 -03 </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:58:17 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:58:25 -03 </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:58:25 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:58:26 -03 </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:58:26 -03\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
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       "Output()"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:10:59 -03 </span>status = postprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:10:59 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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    {
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       "Output()"
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     "metadata": {},
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:11:05 -03 </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:11:05 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
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     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:11:07 -03 </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-35b98f17-31c6-49bd-94c0-ec3899a482b5\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-35b98f17-31c</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-35b98f17-31c6-49bd-94c0-ec3899a482b5\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">6-49bd-94c0-ec3899a482b5'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:11:07 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=424186;https://tidy3d.simulation.cloud/workbench?taskId=fdve-35b98f17-31c6-49bd-94c0-ec3899a482b5\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=247334;https://tidy3d.simulation.cloud/workbench?taskId=fdve-35b98f17-31c6-49bd-94c0-ec3899a482b5\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=424186;https://tidy3d.simulation.cloud/workbench?taskId=fdve-35b98f17-31c6-49bd-94c0-ec3899a482b5\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=727861;https://tidy3d.simulation.cloud/workbench?taskId=fdve-35b98f17-31c6-49bd-94c0-ec3899a482b5\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=424186;https://tidy3d.simulation.cloud/workbench?taskId=fdve-35b98f17-31c6-49bd-94c0-ec3899a482b5\u001b\\\u001b[4;34m-35b98f17-31c\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=424186;https://tidy3d.simulation.cloud/workbench?taskId=fdve-35b98f17-31c6-49bd-94c0-ec3899a482b5\u001b\\\u001b[4;34m6-49bd-94c0-ec3899a482b5'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
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       "Output()"
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:11:14 -03 </span>Loading results from data/absorption_NA0.<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">60.</span>hdf5                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:11:14 -03\u001b[0m\u001b[2;36m \u001b[0mLoading results from data/absorption_NA0.\u001b[1;36m60.\u001b[0mhdf5                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.00985</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.00985\u001b[0m\u001b[31m is greater  \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
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     "output_type": "stream",
     "text": [
      "\n",
      "=== NA = 0.650  f_offset = 2.88 µm ===\n",
      "  cylinders = 10000,  L_h = 33.60 µm\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:11:16 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'absorption_NA0.65'</span> with resource_id                  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-f60a2964-651b-4dba-b3c6-95dd6008bc06'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:11:16 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'absorption_NA0.65'\u001b[0m with resource_id                  \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-f60a2964-651b-4dba-b3c6-95dd6008bc06'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:11:17 -03 </span>View task using web UI at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-f60a2964-651b-4dba-b3c6-95dd6008bc06\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-f60a2964-651</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-f60a2964-651b-4dba-b3c6-95dd6008bc06\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">b-4dba-b3c6-95dd6008bc06'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:11:17 -03\u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=328599;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f60a2964-651b-4dba-b3c6-95dd6008bc06\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=773826;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f60a2964-651b-4dba-b3c6-95dd6008bc06\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=328599;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f60a2964-651b-4dba-b3c6-95dd6008bc06\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=186540;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f60a2964-651b-4dba-b3c6-95dd6008bc06\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=328599;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f60a2964-651b-4dba-b3c6-95dd6008bc06\u001b\\\u001b[32m-f60a2964-651\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=328599;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f60a2964-651b-4dba-b3c6-95dd6008bc06\u001b\\\u001b[32mb-4dba-b3c6-95dd6008bc06'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=523172;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
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       "Output()"
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      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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     },
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
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     },
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:11:23 -03 </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">7.769</span>. Minimum cost depends on task     \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:11:23 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m7.769\u001b[0m. Minimum cost depends on task     \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:11:25 -03 </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:11:25 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
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       "Output()"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:11:38 -03 </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
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       "\u001b[2;36m16:11:38 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:11:49 -03 </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:11:49 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
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      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:11:50 -03 </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:11:50 -03\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
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       "Output()"
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:14:57 -03 </span>status = postprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:14:57 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
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     "output_type": "display_data"
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    {
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       "Output()"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:15:03 -03 </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:15:03 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
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     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:15:05 -03 </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-f60a2964-651b-4dba-b3c6-95dd6008bc06\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-f60a2964-651</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-f60a2964-651b-4dba-b3c6-95dd6008bc06\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">b-4dba-b3c6-95dd6008bc06'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:15:05 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=160043;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f60a2964-651b-4dba-b3c6-95dd6008bc06\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=719750;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f60a2964-651b-4dba-b3c6-95dd6008bc06\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=160043;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f60a2964-651b-4dba-b3c6-95dd6008bc06\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=624053;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f60a2964-651b-4dba-b3c6-95dd6008bc06\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=160043;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f60a2964-651b-4dba-b3c6-95dd6008bc06\u001b\\\u001b[4;34m-f60a2964-651\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=160043;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f60a2964-651b-4dba-b3c6-95dd6008bc06\u001b\\\u001b[4;34mb-4dba-b3c6-95dd6008bc06'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
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       "Output()"
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:15:29 -03 </span>Loading results from data/absorption_NA0.<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">65.</span>hdf5                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:15:29 -03\u001b[0m\u001b[2;36m \u001b[0mLoading results from data/absorption_NA0.\u001b[1;36m65.\u001b[0mhdf5                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:15:30 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0148</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:15:30 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.0148\u001b[0m\u001b[31m is greater   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== NA = 0.700  f_offset = 2.09 µm ===\n",
      "  cylinders = 10000,  L_h = 29.91 µm\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:15:32 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'absorption_NA0.70'</span> with resource_id                  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-2dd0a768-ba33-40eb-9dfd-f4cdafb9950e'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:15:32 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'absorption_NA0.70'\u001b[0m with resource_id                  \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-2dd0a768-ba33-40eb-9dfd-f4cdafb9950e'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-2dd0a768-ba33-40eb-9dfd-f4cdafb9950e\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-2dd0a768-ba3</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-2dd0a768-ba33-40eb-9dfd-f4cdafb9950e\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">3-40eb-9dfd-f4cdafb9950e'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=809276;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2dd0a768-ba33-40eb-9dfd-f4cdafb9950e\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=987533;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2dd0a768-ba33-40eb-9dfd-f4cdafb9950e\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=809276;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2dd0a768-ba33-40eb-9dfd-f4cdafb9950e\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=80771;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2dd0a768-ba33-40eb-9dfd-f4cdafb9950e\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=809276;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2dd0a768-ba33-40eb-9dfd-f4cdafb9950e\u001b\\\u001b[32m-2dd0a768-ba3\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=809276;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2dd0a768-ba33-40eb-9dfd-f4cdafb9950e\u001b\\\u001b[32m3-40eb-9dfd-f4cdafb9950e'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=974696;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
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       "Output()"
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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     },
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
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      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:15:38 -03 </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5.868</span>. Minimum cost depends on task     \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:15:38 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m5.868\u001b[0m. Minimum cost depends on task     \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
      ]
     },
     "metadata": {},
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    },
    {
     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:15:40 -03 </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:15:40 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
      ]
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      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:15:53 -03 </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:15:53 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:15:59 -03 </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:15:59 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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       "Output()"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:18:26 -03 </span>status = postprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:18:26 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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    {
     "data": {
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       "Output()"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:18:29 -03 </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:18:29 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:18:31 -03 </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-2dd0a768-ba33-40eb-9dfd-f4cdafb9950e\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-2dd0a768-ba3</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-2dd0a768-ba33-40eb-9dfd-f4cdafb9950e\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">3-40eb-9dfd-f4cdafb9950e'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:18:31 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=611762;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2dd0a768-ba33-40eb-9dfd-f4cdafb9950e\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=316998;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2dd0a768-ba33-40eb-9dfd-f4cdafb9950e\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=611762;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2dd0a768-ba33-40eb-9dfd-f4cdafb9950e\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=672298;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2dd0a768-ba33-40eb-9dfd-f4cdafb9950e\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=611762;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2dd0a768-ba33-40eb-9dfd-f4cdafb9950e\u001b\\\u001b[4;34m-2dd0a768-ba3\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=611762;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2dd0a768-ba33-40eb-9dfd-f4cdafb9950e\u001b\\\u001b[4;34m3-40eb-9dfd-f4cdafb9950e'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
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       "Output()"
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      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:18:54 -03 </span>Loading results from data/absorption_NA0.<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">70.</span>hdf5                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:18:54 -03\u001b[0m\u001b[2;36m \u001b[0mLoading results from data/absorption_NA0.\u001b[1;36m70.\u001b[0mhdf5                   \n"
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     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:18:55 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0223</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:18:55 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.0223\u001b[0m\u001b[31m is greater   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
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     "text": [
      "\n",
      "=== NA = 0.750  f_offset = 1.58 µm ===\n",
      "  cylinders = 10000,  L_h = 26.27 µm\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:19:00 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'absorption_NA0.75'</span> with resource_id                  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-be6b9925-7139-4ba8-afd8-195d8e873fab'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:19:00 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'absorption_NA0.75'\u001b[0m with resource_id                  \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-be6b9925-7139-4ba8-afd8-195d8e873fab'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-be6b9925-7139-4ba8-afd8-195d8e873fab\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-be6b9925-713</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-be6b9925-7139-4ba8-afd8-195d8e873fab\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">9-4ba8-afd8-195d8e873fab'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=31879;https://tidy3d.simulation.cloud/workbench?taskId=fdve-be6b9925-7139-4ba8-afd8-195d8e873fab\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=848850;https://tidy3d.simulation.cloud/workbench?taskId=fdve-be6b9925-7139-4ba8-afd8-195d8e873fab\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=31879;https://tidy3d.simulation.cloud/workbench?taskId=fdve-be6b9925-7139-4ba8-afd8-195d8e873fab\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=664975;https://tidy3d.simulation.cloud/workbench?taskId=fdve-be6b9925-7139-4ba8-afd8-195d8e873fab\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=31879;https://tidy3d.simulation.cloud/workbench?taskId=fdve-be6b9925-7139-4ba8-afd8-195d8e873fab\u001b\\\u001b[32m-be6b9925-713\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=31879;https://tidy3d.simulation.cloud/workbench?taskId=fdve-be6b9925-7139-4ba8-afd8-195d8e873fab\u001b\\\u001b[32m9-4ba8-afd8-195d8e873fab'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
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     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=171937;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
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       "Output()"
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     },
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
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     },
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:19:07 -03 </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.812</span>. Minimum cost depends on task     \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:19:07 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m4.812\u001b[0m. Minimum cost depends on task     \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:19:09 -03 </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:19:09 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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       "model_id": "be38c73feddd4b0f810d76c58cd8f9d5",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:19:29 -03 </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:19:29 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:19:34 -03 </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:19:34 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:19:35 -03 </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:19:35 -03\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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      "application/vnd.jupyter.widget-view+json": {
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      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:21:53 -03 </span>status = postprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:21:53 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "abe24b1a871a42b397ea9a3f7c9e7fce",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:21:57 -03 </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:21:57 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:21:59 -03 </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-be6b9925-7139-4ba8-afd8-195d8e873fab\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-be6b9925-713</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-be6b9925-7139-4ba8-afd8-195d8e873fab\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">9-4ba8-afd8-195d8e873fab'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:21:59 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=187126;https://tidy3d.simulation.cloud/workbench?taskId=fdve-be6b9925-7139-4ba8-afd8-195d8e873fab\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=612474;https://tidy3d.simulation.cloud/workbench?taskId=fdve-be6b9925-7139-4ba8-afd8-195d8e873fab\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=187126;https://tidy3d.simulation.cloud/workbench?taskId=fdve-be6b9925-7139-4ba8-afd8-195d8e873fab\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=722416;https://tidy3d.simulation.cloud/workbench?taskId=fdve-be6b9925-7139-4ba8-afd8-195d8e873fab\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=187126;https://tidy3d.simulation.cloud/workbench?taskId=fdve-be6b9925-7139-4ba8-afd8-195d8e873fab\u001b\\\u001b[4;34m-be6b9925-713\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=187126;https://tidy3d.simulation.cloud/workbench?taskId=fdve-be6b9925-7139-4ba8-afd8-195d8e873fab\u001b\\\u001b[4;34m9-4ba8-afd8-195d8e873fab'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
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       "Output()"
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:22:15 -03 </span>Loading results from data/absorption_NA0.<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">75.</span>hdf5                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:22:15 -03\u001b[0m\u001b[2;36m \u001b[0mLoading results from data/absorption_NA0.\u001b[1;36m75.\u001b[0mhdf5                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:22:16 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0341</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:22:16 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.0341\u001b[0m\u001b[31m is greater   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== NA = 0.800  f_offset = 1.07 µm ===\n",
      "  cylinders = 10000,  L_h = 22.83 µm\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:22:18 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'absorption_NA0.80'</span> with resource_id                  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-7526f408-8612-47ee-afc6-e1f0ba43b6e8'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:22:18 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'absorption_NA0.80'\u001b[0m with resource_id                  \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-7526f408-8612-47ee-afc6-e1f0ba43b6e8'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
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    {
     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-7526f408-8612-47ee-afc6-e1f0ba43b6e8\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-7526f408-861</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-7526f408-8612-47ee-afc6-e1f0ba43b6e8\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">2-47ee-afc6-e1f0ba43b6e8'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=871593;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7526f408-8612-47ee-afc6-e1f0ba43b6e8\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=783491;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7526f408-8612-47ee-afc6-e1f0ba43b6e8\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=871593;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7526f408-8612-47ee-afc6-e1f0ba43b6e8\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=932665;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7526f408-8612-47ee-afc6-e1f0ba43b6e8\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=871593;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7526f408-8612-47ee-afc6-e1f0ba43b6e8\u001b\\\u001b[32m-7526f408-861\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=871593;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7526f408-8612-47ee-afc6-e1f0ba43b6e8\u001b\\\u001b[32m2-47ee-afc6-e1f0ba43b6e8'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=602948;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
     },
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    {
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:22:25 -03 </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3.896</span>. Minimum cost depends on task     \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:22:25 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m3.896\u001b[0m. Minimum cost depends on task     \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:22:27 -03 </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:22:27 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "model_id": "6c1eb62584f540e99cb64ce5a6bd37f9",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:22:43 -03 </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:22:43 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:22:54 -03 </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:22:54 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:25:22 -03 </span>status = postprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:25:22 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
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       "version_minor": 0
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      "text/plain": [
       "Output()"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:25:31 -03 </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:25:31 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
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     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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      "text/plain": []
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:25:33 -03 </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-7526f408-8612-47ee-afc6-e1f0ba43b6e8\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-7526f408-861</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-7526f408-8612-47ee-afc6-e1f0ba43b6e8\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">2-47ee-afc6-e1f0ba43b6e8'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:25:33 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=675303;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7526f408-8612-47ee-afc6-e1f0ba43b6e8\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=527571;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7526f408-8612-47ee-afc6-e1f0ba43b6e8\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=675303;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7526f408-8612-47ee-afc6-e1f0ba43b6e8\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=656737;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7526f408-8612-47ee-afc6-e1f0ba43b6e8\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=675303;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7526f408-8612-47ee-afc6-e1f0ba43b6e8\u001b\\\u001b[4;34m-7526f408-861\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=675303;https://tidy3d.simulation.cloud/workbench?taskId=fdve-7526f408-8612-47ee-afc6-e1f0ba43b6e8\u001b\\\u001b[4;34m2-47ee-afc6-e1f0ba43b6e8'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
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       "Output()"
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
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     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:26:08 -03 </span>Loading results from data/absorption_NA0.<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">80.</span>hdf5                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:26:08 -03\u001b[0m\u001b[2;36m \u001b[0mLoading results from data/absorption_NA0.\u001b[1;36m80.\u001b[0mhdf5                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:26:09 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0539</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:26:09 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.0539\u001b[0m\u001b[31m is greater   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "All NA-sweep (with-wire) runs complete.\n"
     ]
    }
   ],
   "source": [
    "def build_metalens_sim_with_wire(na, f_offset, L=L_METALENS, d_wire=0.0):\n",
    "    \"\"\"\n",
    "    Build an FDTD simulation for the metalens + NbTiN meander in a PEC-capped cavity.\n",
    "\n",
    "    Uses f = f00 - h_ant - f_offset as the back focal length, identical to the\n",
    "    no-wire builder so that monitor placement is consistent.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    d_wire : float\n",
    "        Lateral offset of the meander center along x (µm). For the centered\n",
    "        focusing-only sweep we use d_wire = 0.\n",
    "    \"\"\"\n",
    "    f00 = (L/2) / np.tan(np.arcsin(na))\n",
    "    f   = f00 - H_ANT - f_offset\n",
    "\n",
    "    L_sim_xy = L + 2 * XY_BUFFER\n",
    "\n",
    "    # z layout: cavity top sits exactly at the PEC boundary (no top buffer)\n",
    "    z_below_sub = 2 * LDA / 3\n",
    "    L_h         = z_below_sub + SUB_T + H_ANT + f + CAVITY_H\n",
    "    sub_z       = -L_h/2 + z_below_sub + SUB_T/2\n",
    "    metalens_top = sub_z + SUB_T/2 + H_ANT\n",
    "    cavity_z    = metalens_top + f + CAVITY_H/2\n",
    "    cavity_bot  = cavity_z - CAVITY_H/2\n",
    "    nanowire_z  = cavity_bot - NW_T/2                       # wire on cavity floor\n",
    "\n",
    "    # --- Substrate ---\n",
    "    metalens_sub = td.Structure(\n",
    "        geometry=td.Box(center=[0, 0, sub_z],\n",
    "                        size=[td.inf, td.inf, SUB_T]),\n",
    "        name=\"metalens_sub\", medium=SIO2,\n",
    "    )\n",
    "\n",
    "    # --- Metalens cylinders (with PML-safety filter on cylinder positions) ---\n",
    "    xc  = np.linspace(-L/2 + CELL_SIZE/2, L/2 - CELL_SIZE/2, NUM_CELLS)\n",
    "    yc  = np.linspace(-L/2 + CELL_SIZE/2, L/2 - CELL_SIZE/2, NUM_CELLS)\n",
    "    max_r     = RADII.max()\n",
    "    safe_edge = L_sim_xy/2 - LDA\n",
    "    cyls = []\n",
    "    for x in xc:\n",
    "        for y in yc:\n",
    "            if (abs(x) + max_r > safe_edge) or (abs(y) + max_r > safe_edge):\n",
    "                continue\n",
    "            phi_deg = np.mod((-2*np.pi/LDA *\n",
    "                              (np.sqrt(x**2 + y**2 + f00**2) - f00)) * 180/np.pi,\n",
    "                             360)\n",
    "            bin_idx = int(phi_deg // 45)\n",
    "            if 0 <= bin_idx < 8:\n",
    "                cyls.append(td.Cylinder(\n",
    "                    center=[x, y, sub_z + SUB_T/2 + H_ANT/2],\n",
    "                    radius=float(RADII[bin_idx]),\n",
    "                    length=H_ANT,\n",
    "                ))\n",
    "    metalens = td.Structure(\n",
    "        geometry=td.GeometryGroup(geometries=cyls),\n",
    "        medium=SILICON, name=\"metalens\",\n",
    "    )\n",
    "\n",
    "    # --- SiO2 cavity (extends past PEC boundary to avoid edge warning) ---\n",
    "    cavity_box_h = CAVITY_H + 1.0\n",
    "    cavity_box_z = cavity_bot + cavity_box_h/2\n",
    "    cavity = td.Structure(\n",
    "        geometry=td.Box(center=[0, 0, cavity_box_z],\n",
    "                        size=[td.inf, td.inf, cavity_box_h]),\n",
    "        name=\"cavity\", medium=SIO2,\n",
    "    )\n",
    "\n",
    "    # --- Nanowire meander (long axis along x) ---\n",
    "    nw_y0 = -(2*NW_N - 1)*NW_W/2 + NW_W/2\n",
    "    wires = [\n",
    "        td.Box(center=[d_wire, nw_y0 + 2*NW_W*n, nanowire_z],\n",
    "               size=[NW_L, NW_W, NW_T])\n",
    "        for n in range(NW_N)\n",
    "    ]\n",
    "    x_meander = td.Structure(\n",
    "        geometry=td.GeometryGroup(geometries=wires),\n",
    "        medium=NBTIN, name=\"x_meander\",\n",
    "    )\n",
    "\n",
    "    # --- Source (normalized to 1 W) ---\n",
    "    src = td.PlaneWave(\n",
    "        name=\"x_pol\",\n",
    "        center=[0, 0, sub_z - SUB_T],\n",
    "        size=[L, L, 0],\n",
    "        source_time=td.GaussianPulse(freq0=F0, fwidth=F0/5),\n",
    "        num_freqs=1, direction=\"+\",\n",
    "    )\n",
    "\n",
    "    # --- Field monitor over the full meander volume (for absorption integration) ---\n",
    "    nw_y_total = (2*NW_N - 1)*NW_W + 2*0.02\n",
    "    nanowire_volume = td.FieldMonitor(\n",
    "        name=\"nanowire_volume\",\n",
    "        center=[d_wire, 0, nanowire_z],\n",
    "        size=[NW_L, nw_y_total, NW_T + 0.02],\n",
    "        freqs=[F0],\n",
    "        fields=[\"Ex\", \"Ey\", \"Ez\"],\n",
    "    )\n",
    "    field_xz = td.FieldMonitor(\n",
    "        name=\"field_xz\",\n",
    "        size=[td.inf, 0, td.inf],\n",
    "        freqs=[F0],\n",
    "        fields=[\"Ex\", \"Ey\", \"Ez\"],\n",
    "    )\n",
    "\n",
    "    # --- Local mesh refinement on the wires ---\n",
    "    nw_refine = td.MeshOverrideStructure(\n",
    "        geometry=td.Box(center=[d_wire, 0, nanowire_z],\n",
    "                        size=[NW_L, nw_y_total, NW_T + 0.02]),\n",
    "        dl=[None, 0.01, 0.002],\n",
    "    )\n",
    "\n",
    "    # PEC on the top boundary, PML elsewhere\n",
    "    boundary_z = td.Boundary(minus=td.PML(), plus=td.PECBoundary())\n",
    "\n",
    "    sim = td.Simulation(\n",
    "        size=(L_sim_xy, L_sim_xy, L_h),\n",
    "        grid_spec=td.GridSpec.auto(\n",
    "            wavelength=LDA, min_steps_per_wvl=6,\n",
    "            override_structures=[nw_refine],\n",
    "        ),\n",
    "        structures=[metalens_sub, metalens, cavity, x_meander],\n",
    "        boundary_spec=td.BoundarySpec(\n",
    "            x=td.Boundary.pml(),\n",
    "            y=td.Boundary.pml(),\n",
    "            z=boundary_z,\n",
    "        ),\n",
    "        sources=[src],\n",
    "        monitors=[nanowire_volume, field_xz],\n",
    "        run_time=2 * L_h * 1e-14,\n",
    "    )\n",
    "    return sim, dict(n_cyl=len(cyls), nanowire_z=nanowire_z, L_h=L_h)\n",
    "\n",
    "\n",
    "# --- Launch the sweep ---\n",
    "for na, f_offset in zip(NA_LIST, F_OFFSET_LIST):\n",
    "    sim, info = build_metalens_sim_with_wire(na, f_offset)\n",
    "    print(f\"\\n=== NA = {na:.3f}  f_offset = {f_offset:.2f} µm ===\")\n",
    "    print(f\"  cylinders = {info['n_cyl']},  L_h = {info['L_h']:.2f} µm\")\n",
    "\n",
    "    web.run(\n",
    "        sim,\n",
    "        task_name=f\"absorption_NA{na:.2f}\",\n",
    "        path=os.path.join(DATA_DIR, f\"absorption_NA{na:.2f}.hdf5\"),\n",
    "        verbose=True,\n",
    "    )\n",
    "\n",
    "print(\"\\nAll NA-sweep (with-wire) runs complete.\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e81ca2596503",
   "metadata": {},
   "source": [
    "## 7. Post-Processing — Efficiencies and SDE Enhancement Factor\n",
    "\n",
    "We now load the saved data and extract three figures of merit:\n",
    "\n",
    "| Symbol         | Meaning                                                     |\n",
    "|----------------|-------------------------------------------------------------|\n",
    "| $T$            | $P_\\mathrm{trans}/P_\\mathrm{in}$ — transmission through the metalens |\n",
    "| $\\tilde{\\eta}_c = \\eta_\\mathrm{det}$ | $P_\\mathrm{det}/P_\\mathrm{in}$ — coupling onto the 5 × 5 µm² focal-plane square |\n",
    "| $\\tilde{\\eta}_a$ | $P_\\mathrm{abs}/P_\\mathrm{det}$ — fractional absorption in the meander given that the photon landed |\n",
    "\n",
    "The **SDE enhancement factor** of a metalensed SNSPD relative to a flood-illuminated reference detector with the same internal efficiency $\\eta_r$ is\n",
    "\n",
    "$$\n",
    "\\frac{\\eta_\\mathrm{SDE,\\,M}}{\\eta_\\mathrm{SDE,\\,R}}\n",
    "  \\;=\\; \\tilde{\\eta}_c \\, \\tilde{\\eta}_a \\, \\frac{A_M}{A_D}\n",
    "$$\n",
    "\n",
    "The dimensionless geometrical factor $A_M / A_D = 154.8$ accounts for the metalens collecting from a much larger area than the bare nanowire would. In code we therefore have\n",
    "\n",
    "```python\n",
    "enhancement = eta_abs * ENHANCEMENT_FACTOR        # ENHANCEMENT_FACTOR = A_M / A_D\n",
    "```\n",
    "\n",
    "where `eta_abs = P_abs/P_in` is what falls directly out of the FDTD integration.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5b548199fb01",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NA = 0.200:  T = 88.03%,  η_c = 60.86%,  η_abs = 36.05%,  η̃_a = 59.23%,  EF = 55.81\n",
      "NA = 0.250:  T = 88.09%,  η_c = 65.96%,  η_abs = 38.25%,  η̃_a = 58.00%,  EF = 59.22\n",
      "NA = 0.300:  T = 87.01%,  η_c = 64.93%,  η_abs = 37.53%,  η̃_a = 57.81%,  EF = 58.10\n",
      "NA = 0.350:  T = 87.92%,  η_c = 65.75%,  η_abs = 38.88%,  η̃_a = 59.14%,  EF = 60.19\n",
      "NA = 0.400:  T = 87.61%,  η_c = 65.82%,  η_abs = 52.32%,  η̃_a = 79.49%,  EF = 81.00\n",
      "NA = 0.450:  T = 86.35%,  η_c = 65.27%,  η_abs = 48.24%,  η̃_a = 73.90%,  EF = 74.67\n",
      "NA = 0.500:  T = 85.65%,  η_c = 66.06%,  η_abs = 47.76%,  η̃_a = 72.30%,  EF = 73.93\n",
      "NA = 0.550:  T = 84.82%,  η_c = 64.95%,  η_abs = 51.25%,  η̃_a = 78.91%,  EF = 79.33\n",
      "NA = 0.600:  T = 84.40%,  η_c = 63.96%,  η_abs = 45.28%,  η̃_a = 70.79%,  EF = 70.09\n",
      "NA = 0.650:  T = 83.44%,  η_c = 61.34%,  η_abs = 48.56%,  η̃_a = 79.16%,  EF = 75.17\n",
      "NA = 0.700:  T = 81.66%,  η_c = 58.81%,  η_abs = 39.20%,  η̃_a = 66.65%,  EF = 60.68\n",
      "NA = 0.750:  T = 80.54%,  η_c = 56.54%,  η_abs = 37.94%,  η̃_a = 67.11%,  EF = 58.74\n",
      "NA = 0.800:  T = 78.54%,  η_c = 53.08%,  η_abs = 32.58%,  η̃_a = 61.37%,  EF = 50.43\n",
      "\n",
      "Saved: data/metalens_summary.csv\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NA</th>\n",
       "      <th>T</th>\n",
       "      <th>eta_c</th>\n",
       "      <th>eta_abs</th>\n",
       "      <th>eta_a_tilde</th>\n",
       "      <th>enhancement_factor</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.20</td>\n",
       "      <td>0.880284</td>\n",
       "      <td>0.608615</td>\n",
       "      <td>0.360511</td>\n",
       "      <td>0.592347</td>\n",
       "      <td>55.807094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.25</td>\n",
       "      <td>0.880868</td>\n",
       "      <td>0.659608</td>\n",
       "      <td>0.382542</td>\n",
       "      <td>0.579954</td>\n",
       "      <td>59.217512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.30</td>\n",
       "      <td>0.870117</td>\n",
       "      <td>0.649259</td>\n",
       "      <td>0.375341</td>\n",
       "      <td>0.578108</td>\n",
       "      <td>58.102855</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.35</td>\n",
       "      <td>0.879189</td>\n",
       "      <td>0.657541</td>\n",
       "      <td>0.388849</td>\n",
       "      <td>0.591368</td>\n",
       "      <td>60.193796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.40</td>\n",
       "      <td>0.876086</td>\n",
       "      <td>0.658215</td>\n",
       "      <td>0.523247</td>\n",
       "      <td>0.794948</td>\n",
       "      <td>80.998672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.45</td>\n",
       "      <td>0.863529</td>\n",
       "      <td>0.652746</td>\n",
       "      <td>0.482377</td>\n",
       "      <td>0.738996</td>\n",
       "      <td>74.671960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.50</td>\n",
       "      <td>0.856548</td>\n",
       "      <td>0.660554</td>\n",
       "      <td>0.477555</td>\n",
       "      <td>0.722961</td>\n",
       "      <td>73.925466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.55</td>\n",
       "      <td>0.848152</td>\n",
       "      <td>0.649503</td>\n",
       "      <td>0.512494</td>\n",
       "      <td>0.789055</td>\n",
       "      <td>79.334056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.60</td>\n",
       "      <td>0.844045</td>\n",
       "      <td>0.639647</td>\n",
       "      <td>0.452804</td>\n",
       "      <td>0.707897</td>\n",
       "      <td>70.094062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.65</td>\n",
       "      <td>0.834425</td>\n",
       "      <td>0.613409</td>\n",
       "      <td>0.485591</td>\n",
       "      <td>0.791627</td>\n",
       "      <td>75.169447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.70</td>\n",
       "      <td>0.816629</td>\n",
       "      <td>0.588143</td>\n",
       "      <td>0.392019</td>\n",
       "      <td>0.666538</td>\n",
       "      <td>60.684607</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.75</td>\n",
       "      <td>0.805353</td>\n",
       "      <td>0.565373</td>\n",
       "      <td>0.379429</td>\n",
       "      <td>0.671113</td>\n",
       "      <td>58.735668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.80</td>\n",
       "      <td>0.785377</td>\n",
       "      <td>0.530818</td>\n",
       "      <td>0.325756</td>\n",
       "      <td>0.613687</td>\n",
       "      <td>50.426999</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      NA         T     eta_c   eta_abs  eta_a_tilde  enhancement_factor\n",
       "0   0.20  0.880284  0.608615  0.360511     0.592347           55.807094\n",
       "1   0.25  0.880868  0.659608  0.382542     0.579954           59.217512\n",
       "2   0.30  0.870117  0.649259  0.375341     0.578108           58.102855\n",
       "3   0.35  0.879189  0.657541  0.388849     0.591368           60.193796\n",
       "4   0.40  0.876086  0.658215  0.523247     0.794948           80.998672\n",
       "5   0.45  0.863529  0.652746  0.482377     0.738996           74.671960\n",
       "6   0.50  0.856548  0.660554  0.477555     0.722961           73.925466\n",
       "7   0.55  0.848152  0.649503  0.512494     0.789055           79.334056\n",
       "8   0.60  0.844045  0.639647  0.452804     0.707897           70.094062\n",
       "9   0.65  0.834425  0.613409  0.485591     0.791627           75.169447\n",
       "10  0.70  0.816629  0.588143  0.392019     0.666538           60.684607\n",
       "11  0.75  0.805353  0.565373  0.379429     0.671113           58.735668\n",
       "12  0.80  0.785377  0.530818  0.325756     0.613687           50.426999"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ENHANCEMENT_FACTOR = 154.8                 # geometrical area ratio A_M / A_D\n",
    "\n",
    "TRANS_FM = \"trans_flux\"\n",
    "DET_FM   = \"detector_flux\"\n",
    "ABS_MON  = \"nanowire_volume\"\n",
    "\n",
    "\n",
    "def compute_eta_abs(sim_data, nanowire_z):\n",
    "    \"\"\"P_abs / P_in by integrating ½σ|E|² over the meander volume.\"\"\"\n",
    "    Ex = sim_data[ABS_MON].Ex.isel(f=0).squeeze(drop=True)\n",
    "    Ey = sim_data[ABS_MON].Ey.isel(f=0).squeeze(drop=True)\n",
    "    Ez = sim_data[ABS_MON].Ez.isel(f=0).squeeze(drop=True)\n",
    "    E2 = np.abs(Ex)**2 + np.abs(Ey)**2 + np.abs(Ez)**2\n",
    "    p_abs = 0.5 * NBTIN_SIGMA * E2\n",
    "\n",
    "    nw_y0 = -(2*NW_N - 1)*NW_W/2 + NW_W/2\n",
    "    P_total = 0.0\n",
    "    for n in range(NW_N):\n",
    "        yc = nw_y0 + 2*NW_W*n\n",
    "        p_strand = p_abs.sel(\n",
    "            x=slice(-NW_L/2,             NW_L/2),\n",
    "            y=slice(yc - NW_W/2,         yc + NW_W/2),\n",
    "            z=slice(nanowire_z - NW_T/2, nanowire_z + NW_T/2),\n",
    "        )\n",
    "        P_total += float(p_strand.integrate(coord=\"x\")\n",
    "                                 .integrate(coord=\"y\")\n",
    "                                 .integrate(coord=\"z\").values)\n",
    "    return P_total\n",
    "\n",
    "\n",
    "# --- Loop ---\n",
    "rows = []\n",
    "for na in NA_LIST:\n",
    "    T, eta_det, eta_abs = np.nan, np.nan, np.nan\n",
    "\n",
    "    # (1) bare-metalens results: T and η_c\n",
    "    Tdet_path = os.path.join(DATA_DIR, f\"Tdet_NA{na:.2f}.hdf5\")\n",
    "    if os.path.exists(Tdet_path):\n",
    "        sd = td.SimulationData.from_file(Tdet_path)\n",
    "        if TRANS_FM in sd.monitor_data:\n",
    "            T = float(sd[TRANS_FM].flux.values[0])\n",
    "        if DET_FM in sd.monitor_data:\n",
    "            eta_det = float(sd[DET_FM].flux.values[0])\n",
    "\n",
    "    # (2) with-nanowire results: η_abs\n",
    "    abs_path = os.path.join(DATA_DIR, f\"absorption_NA{na:.2f}.hdf5\")\n",
    "    if os.path.exists(abs_path):\n",
    "        sd = td.SimulationData.from_file(abs_path)\n",
    "        try:\n",
    "            nw_z = sd.simulation.get_monitor_by_name(ABS_MON).center[2]\n",
    "            eta_abs = compute_eta_abs(sd, nw_z)\n",
    "        except Exception as e:\n",
    "            print(f\"  [warn] η_abs failed at NA = {na}: {e}\")\n",
    "\n",
    "    # Derived metrics\n",
    "    eta_c       = eta_det\n",
    "    eta_a_tilde = eta_abs / eta_det if (eta_det == eta_det and eta_det > 0) else np.nan\n",
    "    enhancement = eta_abs * ENHANCEMENT_FACTOR\n",
    "\n",
    "    fmt = lambda v: f\"{v*100:.2f}%\" if v == v else \"nan\"\n",
    "    print(f\"NA = {na:.3f}:  T = {fmt(T)},  η_c = {fmt(eta_c)},  \"\n",
    "          f\"η_abs = {fmt(eta_abs)},  η̃_a = {fmt(eta_a_tilde)},  \"\n",
    "          f\"EF = {enhancement:.2f}\")\n",
    "\n",
    "    rows.append({\n",
    "        \"NA\":                 na,\n",
    "        \"T\":                  T,\n",
    "        \"eta_c\":              eta_c,\n",
    "        \"eta_abs\":            eta_abs,\n",
    "        \"eta_a_tilde\":        eta_a_tilde,\n",
    "        \"enhancement_factor\": enhancement,\n",
    "    })\n",
    "\n",
    "df_metalens = pd.DataFrame(rows)\n",
    "csv_path = os.path.join(DATA_DIR, \"metalens_summary.csv\")\n",
    "df_metalens.to_csv(csv_path, index=False)\n",
    "print(f\"\\nSaved: {csv_path}\")\n",
    "df_metalens\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "25758021dd60",
   "metadata": {},
   "source": [
    "### 7.1 Plot — Efficiencies and Enhancement Factor vs NA\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e81419efb4d4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 960x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 960x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# --- Plot 1: three efficiencies ---\n",
    "fig, ax = plt.subplots(figsize=(8, 5))\n",
    "ax.plot(df_metalens[\"NA\"], df_metalens[\"T\"]*100,           \"s-\", color=\"C0\",\n",
    "        label=r\"$T = P_\\mathrm{trans}/P_\\mathrm{in}$\")\n",
    "ax.plot(df_metalens[\"NA\"], df_metalens[\"eta_c\"]*100,       \"o-\", color=\"C1\",\n",
    "        label=r\"$\\eta_c = P_\\mathrm{det}/P_\\mathrm{in}$  (5×5 µm)\")\n",
    "ax.plot(df_metalens[\"NA\"], df_metalens[\"eta_abs\"]*100,     \"^-\", color=\"C3\",\n",
    "        label=r\"$\\eta_\\mathrm{abs} = P_\\mathrm{abs}/P_\\mathrm{in}$\")\n",
    "ax.set_xlabel(\"NA\")\n",
    "ax.set_ylabel(\"Efficiency (%)\")\n",
    "ax.set_title(f\"Metalens efficiencies vs NA  (L = {L_METALENS:.0f} × {L_METALENS:.0f} µm²)\")\n",
    "ax.legend()\n",
    "ax.grid(alpha=0.3)\n",
    "plt.tight_layout()\n",
    "plt.savefig(os.path.join(FIG_DIR, \"metalens_efficiencies_vs_NA.png\"))\n",
    "plt.show()\n",
    "\n",
    "\n",
    "# --- Plot 2: enhancement factor (left axis) + η_c / η̃_a (right axis) ---\n",
    "fig, ax_L = plt.subplots(figsize=(8, 5))\n",
    "\n",
    "l1, = ax_L.plot(df_metalens[\"NA\"], df_metalens[\"enhancement_factor\"],\n",
    "                \"D-\", color=\"C2\", linewidth=2, label=\"Enhancement factor\")\n",
    "ax_L.set_xlabel(\"NA\")\n",
    "ax_L.set_ylabel(rf\"Enhancement factor  ($\\eta_\\mathrm{{abs}} \\times {ENHANCEMENT_FACTOR}$)\",\n",
    "                color=\"C2\")\n",
    "ax_L.tick_params(axis=\"y\", labelcolor=\"C2\")\n",
    "ax_L.grid(alpha=0.3)\n",
    "\n",
    "ax_R = ax_L.twinx()\n",
    "l2, = ax_R.plot(df_metalens[\"NA\"], df_metalens[\"eta_c\"]*100,\n",
    "                \"o-\", color=\"C1\", label=r\"Coupling eff. $\\tilde\\eta_c$\")\n",
    "l3, = ax_R.plot(df_metalens[\"NA\"], df_metalens[\"eta_a_tilde\"]*100,\n",
    "                \"^-\", color=\"C3\", label=r\"Absorption eff. $\\tilde\\eta_a$\")\n",
    "ax_R.set_ylabel(\"Efficiency (%)\")\n",
    "\n",
    "ax_L.legend(handles=[l1, l2, l3], loc=\"lower center\")\n",
    "plt.title(\"SDE enhancement and component efficiencies vs NA\")\n",
    "plt.tight_layout()\n",
    "plt.savefig(os.path.join(FIG_DIR, \"metalens_enhancement_vs_NA.png\"))\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e6d5f7b5bb43",
   "metadata": {},
   "source": [
    "## 8. Polarization Beam Splitter (PBS) Metasurface — Design\n",
    "\n",
    "The second device replaces the **cylindrical** meta-atoms with **rectangular** ones whose two in-plane dimensions $(\\ell_x, \\ell_y)$ are independently controlled. This decouples the phase response for x- and y-polarized light, so the same metasurface can imprint two different phase profiles:\n",
    "\n",
    "$$\n",
    "\\varphi_x(x,y) \\;=\\; -\\frac{2\\pi}{\\lambda}\\!\\left(\\sqrt{(x - d)^2 + y^2 + f^2} - f\\right) \\pmod{2\\pi}\n",
    "$$\n",
    "\n",
    "$$\n",
    "\\varphi_y(x,y) \\;=\\; -\\frac{2\\pi}{\\lambda}\\!\\left(\\sqrt{(x + d)^2 + y^2 + f^2} - f\\right) \\pmod{2\\pi}\n",
    "$$\n",
    "\n",
    "x-polarized light is focused to $(+d, 0)$ where an **x-meander** is placed, and y-polarized light is focused to $(-d, 0)$ where a **y-meander** is placed. Varying *d* trades off lateral spot separation against spot quality, which directly sets the polarization cross-talk.\n",
    "\n",
    "### 8.1 Pre-Computed PBS Meta-Atom Library\n",
    "\n",
    "We sample $\\varphi_x \\times \\varphi_y$ on an 8 × 8 grid of 45° bins (64 combinations) and pick one $(\\ell_x, \\ell_y)$ pair per bin from a pre-computed unit-cell library. The two arrays `LX` and `LY` below store these dimensions, indexed by `1 + bin_x*8 + bin_y` (index 0 is a placeholder).\n",
    "\n",
    "The taller meta-atoms (`h_ant = 1.96 µm`) are needed to reach 2π phase coverage with anisotropic shapes.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "265d5b1f9792",
   "metadata": {},
   "outputs": [],
   "source": [
    "# --- PBS-specific geometry ---\n",
    "H_ANT_PBS    = 1.96\n",
    "CAVITY_H_PBS = 0.233\n",
    "CELL_PBS     = 0.5\n",
    "NUM_CELLS_PBS = int(L_METALENS / CELL_PBS)\n",
    "\n",
    "# 8x8 anisotropic meta-atom library (indexed by 1 + 8*bin_x + bin_y)\n",
    "LX = np.array([0,\n",
    "    0.238, 0.220, 0.220, 0.210, 0.206, 0.206, 0.273, 0.248,\n",
    "    0.248, 0.248, 0.234, 0.227, 0.227, 0.213, 0.298, 0.266,\n",
    "    0.266, 0.259, 0.345, 0.425, 0.302, 0.386, 0.309, 0.287,\n",
    "    0.298, 0.284, 0.386, 0.266, 0.450, 0.263, 0.355, 0.316,\n",
    "    0.252, 0.248, 0.425, 0.241, 0.280, 0.351, 0.294, 0.355,\n",
    "    0.337, 0.100, 0.100, 0.446, 0.294, 0.153, 0.128, 0.118,\n",
    "    0.160, 0.153, 0.153, 0.149, 0.142, 0.210, 0.408, 0.174,\n",
    "    0.195, 0.188, 0.188, 0.178, 0.171, 0.263, 0.224, 0.210,\n",
    "])\n",
    "LY = np.array([0,\n",
    "    0.238, 0.259, 0.270, 0.302, 0.323, 0.337, 0.160, 0.195,\n",
    "    0.227, 0.248, 0.256, 0.294, 0.280, 0.333, 0.153, 0.192,\n",
    "    0.224, 0.234, 0.345, 0.234, 0.425, 0.100, 0.153, 0.189,\n",
    "    0.210, 0.231, 0.323, 0.266, 0.227, 0.298, 0.139, 0.178,\n",
    "    0.369, 0.390, 0.302, 0.439, 0.280, 0.418, 0.245, 0.171,\n",
    "    0.206, 0.369, 0.386, 0.319, 0.273, 0.146, 0.220, 0.263,\n",
    "    0.270, 0.302, 0.309, 0.316, 0.386, 0.132, 0.404, 0.224,\n",
    "    0.245, 0.291, 0.273, 0.319, 0.355, 0.118, 0.174, 0.210,\n",
    "])\n",
    "\n",
    "\n",
    "def pbs_atom_size(phi_x_deg, phi_y_deg):\n",
    "    \"\"\"Return (lx, ly) for the meta-atom at the given (φ_x, φ_y) bin pair.\"\"\"\n",
    "    bx = int(phi_x_deg // 45)\n",
    "    by = int(phi_y_deg // 45)\n",
    "    if not (0 <= bx < 8 and 0 <= by < 8):\n",
    "        return None\n",
    "    idx = 1 + bx*8 + by\n",
    "    return float(LX[idx]), float(LY[idx])\n",
    "\n",
    "\n",
    "def pbs_meta_atoms(L, na, d, cell_size, num_cells, lda,\n",
    "                   sub_z, sub_t, h_ant):\n",
    "    \"\"\"\n",
    "    Build the list of rectangular meta-atoms for a PBS metasurface that focuses\n",
    "    x-pol to (+d, 0) and y-pol to (-d, 0).\n",
    "    \"\"\"\n",
    "    f00 = (L/2) / np.tan(np.arcsin(na))\n",
    "    xc = np.linspace(-L/2 + cell_size/2, L/2 - cell_size/2, num_cells)\n",
    "    yc = np.linspace(-L/2 + cell_size/2, L/2 - cell_size/2, num_cells)\n",
    "\n",
    "    atoms = []\n",
    "    for x in xc:\n",
    "        for y in yc:\n",
    "            phi_x = np.mod((-2*np.pi/lda *\n",
    "                            (np.sqrt((x - d)**2 + y**2 + f00**2) - f00)) * 180/np.pi,\n",
    "                           360)\n",
    "            phi_y = np.mod((-2*np.pi/lda *\n",
    "                            (np.sqrt((x + d)**2 + y**2 + f00**2) - f00)) * 180/np.pi,\n",
    "                           360)\n",
    "            sizes = pbs_atom_size(phi_x, phi_y)\n",
    "            if sizes is None:\n",
    "                continue\n",
    "            sx, sy = sizes\n",
    "            atoms.append(td.Box(\n",
    "                center=[x, y, sub_z + sub_t/2 + h_ant/2],\n",
    "                size=[sx, sy, h_ant],\n",
    "            ))\n",
    "    return atoms, f00\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "081279a3f355",
   "metadata": {},
   "source": [
    "## 9. PBS Top-View Visualization\n",
    "\n",
    "We visualize the PBS metasurface at $d = 5$ µm, showing the rectangular meta-atoms (top) with each of the two designed phase profiles $\\varphi_x$ and $\\varphi_y$ overlaid. Note how $\\varphi_x$ is a hyperbolic phase centered at $(+d, 0)$ (marked with a black cross), and $\\varphi_y$ at $(-d, 0)$.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "4c723e3953d5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1680x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PBS meta-atoms at d = 5.0 µm: 14400\n"
     ]
    }
   ],
   "source": [
    "NA_PBS = 0.5\n",
    "D_VIZ  = 5.0\n",
    "\n",
    "# Build a minimal dummy simulation just so we can use `sim.plot_structures`\n",
    "f00_pbs = (L_METALENS/2) / np.tan(np.arcsin(NA_PBS))\n",
    "f_pbs   = f00_pbs - H_ANT_PBS - 5.0          # match build_pbs_sim() default offset\n",
    "\n",
    "L_sim_xy_pbs = L_METALENS + 2 * XY_BUFFER\n",
    "L_h_pbs      = 2*LDA/3 + SUB_T + H_ANT_PBS + f_pbs + CAVITY_H_PBS\n",
    "sub_z_pbs    = -L_h_pbs/2 + 2*LDA/3 + SUB_T/2\n",
    "mid_z_pbs    = sub_z_pbs + SUB_T/2 + H_ANT_PBS/2\n",
    "\n",
    "metalens_sub_pbs = td.Structure(\n",
    "    geometry=td.Box(center=[0, 0, sub_z_pbs],\n",
    "                    size=[td.inf, td.inf, SUB_T]),\n",
    "    name=\"metalens_sub\", medium=SIO2,\n",
    ")\n",
    "atoms_viz, _ = pbs_meta_atoms(L_METALENS, NA_PBS, D_VIZ,\n",
    "                              CELL_PBS, NUM_CELLS_PBS, LDA,\n",
    "                              sub_z=sub_z_pbs, sub_t=SUB_T, h_ant=H_ANT_PBS)\n",
    "metalens_pbs_viz = td.Structure(\n",
    "    geometry=td.GeometryGroup(geometries=atoms_viz),\n",
    "    medium=SILICON, name=\"metalens\",\n",
    ")\n",
    "\n",
    "dummy_sim = td.Simulation(\n",
    "    size=(L_sim_xy_pbs, L_sim_xy_pbs, L_h_pbs),\n",
    "    grid_spec=td.GridSpec.auto(wavelength=LDA, min_steps_per_wvl=6),\n",
    "    structures=[metalens_sub_pbs, metalens_pbs_viz],\n",
    "    boundary_spec=td.BoundarySpec(\n",
    "        x=td.Boundary.pml(), y=td.Boundary.pml(),\n",
    "        z=td.Boundary(minus=td.PML(), plus=td.PECBoundary()),\n",
    "    ),\n",
    "    sources=[td.PlaneWave(\n",
    "        name=\"dummy\", center=[0, 0, sub_z_pbs - SUB_T],\n",
    "        size=[L_METALENS, L_METALENS, 0],\n",
    "        source_time=td.GaussianPulse(freq0=F0, fwidth=F0/5),\n",
    "        direction=\"+\",\n",
    "    )],\n",
    "    monitors=[],\n",
    "    run_time=1e-14,\n",
    ")\n",
    "\n",
    "# Phase profiles\n",
    "xs = np.linspace(-L_METALENS/2, L_METALENS/2, 600)\n",
    "ys = np.linspace(-L_METALENS/2, L_METALENS/2, 600)\n",
    "X, Y = np.meshgrid(xs, ys, indexing=\"xy\")\n",
    "phi_x = np.mod(-2*np.pi/LDA *\n",
    "               (np.sqrt((X - D_VIZ)**2 + Y**2 + f00_pbs**2) - f00_pbs), 2*np.pi)\n",
    "phi_y = np.mod(-2*np.pi/LDA *\n",
    "               (np.sqrt((X + D_VIZ)**2 + Y**2 + f00_pbs**2) - f00_pbs), 2*np.pi)\n",
    "\n",
    "def darken_small_patches(ax, max_dim=1.0):\n",
    "    for p in ax.patches:\n",
    "        try:\n",
    "            w, h = p.get_width(), p.get_height()\n",
    "            if max(abs(w), abs(h)) < max_dim:\n",
    "                p.set_facecolor(\"black\")\n",
    "                p.set_edgecolor(\"none\")\n",
    "        except AttributeError:\n",
    "            pass\n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=(14, 6))\n",
    "extent = [-L_METALENS/2, L_METALENS/2, -L_METALENS/2, L_METALENS/2]\n",
    "\n",
    "for ax, phi_field, d_sign in [(axes[0], phi_x, +1), (axes[1], phi_y, -1)]:\n",
    "    dummy_sim.plot_structures(z=mid_z_pbs, ax=ax)\n",
    "    darken_small_patches(ax)\n",
    "    ax.imshow(phi_field, origin=\"lower\", extent=extent,\n",
    "              cmap=\"rainbow\", vmin=0, vmax=2*np.pi,\n",
    "              alpha=0.55, aspect=\"equal\", zorder=10)\n",
    "    ax.plot(d_sign*D_VIZ, 0, \"k+\", markersize=14, markeredgewidth=2, zorder=11)\n",
    "    ax.set_xlim(-L_METALENS/2, L_METALENS/2)\n",
    "    ax.set_ylim(-L_METALENS/2, L_METALENS/2)\n",
    "    ax.set_aspect(\"equal\")\n",
    "    ax.set_xlabel(\"x (µm)\")\n",
    "    ax.set_ylabel(\"y (µm)\")\n",
    "\n",
    "axes[0].set_title(rf\"PBS top view + $\\varphi_x$ (focus at $+d$)\")\n",
    "axes[1].set_title(rf\"PBS top view + $\\varphi_y$ (focus at $-d$)\")\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig(os.path.join(FIG_DIR, \"pbs_top_view_phase.png\"))\n",
    "plt.show()\n",
    "print(f\"PBS meta-atoms at d = {D_VIZ} µm: {len(atoms_viz)}\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8f62f2a3dfdb",
   "metadata": {},
   "source": [
    "## 10. PBS Dual-Meander Absorption Sweep\n",
    "\n",
    "For each focal-spot half-separation `d`, we now run **two** FDTD simulations: one with an x-polarized source and one with a y-polarized source. The simulation contains both meanders (x-meander at $+d$, y-meander at $-d$) at all times — only the source polarization changes between runs.\n",
    "\n",
    "This lets us extract, for each `d`:\n",
    "\n",
    "- **Intended absorption** — x-pol → x-meander, y-pol → y-meander\n",
    "- **Unintended absorption** — x-pol → y-meander, y-pol → x-meander\n",
    "- **Cross-talk** — $\\mathrm{CT}_\\mathrm{dB} = 10 \\log_{10}(P_\\mathrm{unintended} / P_\\mathrm{intended})$\n",
    "\n",
    "**FlexCredit note:** twelve more 3D FDTD simulations (six `d` values × two polarizations).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "9e5e835fdd6f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "######  d = 2.60 µm  ######\n",
      "  [x-pol]  meta-atoms = 14400,  L_h = 48.33 µm\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:26:56 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'pol_split_d2.60_x'</span> with resource_id                  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-6ed03c93-c245-4931-9723-ae91530b0e11'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:26:56 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'pol_split_d2.60_x'\u001b[0m with resource_id                  \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-6ed03c93-c245-4931-9723-ae91530b0e11'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-6ed03c93-c245-4931-9723-ae91530b0e11\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-6ed03c93-c24</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-6ed03c93-c245-4931-9723-ae91530b0e11\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">5-4931-9723-ae91530b0e11'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=464645;https://tidy3d.simulation.cloud/workbench?taskId=fdve-6ed03c93-c245-4931-9723-ae91530b0e11\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=283112;https://tidy3d.simulation.cloud/workbench?taskId=fdve-6ed03c93-c245-4931-9723-ae91530b0e11\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=464645;https://tidy3d.simulation.cloud/workbench?taskId=fdve-6ed03c93-c245-4931-9723-ae91530b0e11\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=363163;https://tidy3d.simulation.cloud/workbench?taskId=fdve-6ed03c93-c245-4931-9723-ae91530b0e11\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=464645;https://tidy3d.simulation.cloud/workbench?taskId=fdve-6ed03c93-c245-4931-9723-ae91530b0e11\u001b\\\u001b[32m-6ed03c93-c24\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=464645;https://tidy3d.simulation.cloud/workbench?taskId=fdve-6ed03c93-c245-4931-9723-ae91530b0e11\u001b\\\u001b[32m5-4931-9723-ae91530b0e11'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=496502;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f35b5a58ca054080a775f8b792c8e5bf",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:27:03 -03 </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.978</span>. Minimum cost depends on task     \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:27:03 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m4.978\u001b[0m. Minimum cost depends on task     \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:27:05 -03 </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:27:05 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "143d13581744449b946ece055e3a8995",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:27:20 -03 </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:27:20 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:27:26 -03 </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:27:26 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
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      },
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:34:26 -03 </span>status = postprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:34:26 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:34:32 -03 </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:34:32 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:34:34 -03 </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-6ed03c93-c245-4931-9723-ae91530b0e11\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-6ed03c93-c24</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-6ed03c93-c245-4931-9723-ae91530b0e11\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">5-4931-9723-ae91530b0e11'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:34:34 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=506775;https://tidy3d.simulation.cloud/workbench?taskId=fdve-6ed03c93-c245-4931-9723-ae91530b0e11\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=616651;https://tidy3d.simulation.cloud/workbench?taskId=fdve-6ed03c93-c245-4931-9723-ae91530b0e11\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=506775;https://tidy3d.simulation.cloud/workbench?taskId=fdve-6ed03c93-c245-4931-9723-ae91530b0e11\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=582162;https://tidy3d.simulation.cloud/workbench?taskId=fdve-6ed03c93-c245-4931-9723-ae91530b0e11\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=506775;https://tidy3d.simulation.cloud/workbench?taskId=fdve-6ed03c93-c245-4931-9723-ae91530b0e11\u001b\\\u001b[4;34m-6ed03c93-c24\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=506775;https://tidy3d.simulation.cloud/workbench?taskId=fdve-6ed03c93-c245-4931-9723-ae91530b0e11\u001b\\\u001b[4;34m5-4931-9723-ae91530b0e11'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
     },
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       "Output()"
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:34:51 -03 </span>Loading results from data/pol_split_d2.60_x.hdf5                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:34:51 -03\u001b[0m\u001b[2;36m \u001b[0mLoading results from data/pol_split_d2.60_x.hdf5                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:34:52 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0701</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:34:52 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.0701\u001b[0m\u001b[31m is greater   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [y-pol]  meta-atoms = 14400,  L_h = 48.33 µm\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:34:55 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'pol_split_d2.60_y'</span> with resource_id                  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-b6b3cdb2-6d0d-416d-b5ed-7e2f8f475285'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:34:55 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'pol_split_d2.60_y'\u001b[0m with resource_id                  \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-b6b3cdb2-6d0d-416d-b5ed-7e2f8f475285'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
      ]
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-b6b3cdb2-6d0d-416d-b5ed-7e2f8f475285\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-b6b3cdb2-6d0</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-b6b3cdb2-6d0d-416d-b5ed-7e2f8f475285\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">d-416d-b5ed-7e2f8f475285'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=538724;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b6b3cdb2-6d0d-416d-b5ed-7e2f8f475285\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=641676;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b6b3cdb2-6d0d-416d-b5ed-7e2f8f475285\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=538724;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b6b3cdb2-6d0d-416d-b5ed-7e2f8f475285\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=796100;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b6b3cdb2-6d0d-416d-b5ed-7e2f8f475285\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=538724;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b6b3cdb2-6d0d-416d-b5ed-7e2f8f475285\u001b\\\u001b[32m-b6b3cdb2-6d0\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=538724;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b6b3cdb2-6d0d-416d-b5ed-7e2f8f475285\u001b\\\u001b[32md-416d-b5ed-7e2f8f475285'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
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     "metadata": {},
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=91924;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
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      "text/plain": [
       "Output()"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:35:01 -03 </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.978</span>. Minimum cost depends on task     \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:35:01 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m4.978\u001b[0m. Minimum cost depends on task     \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:35:03 -03 </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:35:03 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
      ]
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     "metadata": {},
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       "Output()"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:35:16 -03 </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:35:16 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
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      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:35:25 -03 </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:35:25 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
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       "Output()"
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:42:40 -03 </span>status = postprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:42:40 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:42:47 -03 </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:42:47 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
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     },
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:42:49 -03 </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-b6b3cdb2-6d0d-416d-b5ed-7e2f8f475285\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-b6b3cdb2-6d0</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-b6b3cdb2-6d0d-416d-b5ed-7e2f8f475285\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">d-416d-b5ed-7e2f8f475285'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:42:49 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=479073;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b6b3cdb2-6d0d-416d-b5ed-7e2f8f475285\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=802497;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b6b3cdb2-6d0d-416d-b5ed-7e2f8f475285\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=479073;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b6b3cdb2-6d0d-416d-b5ed-7e2f8f475285\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=225468;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b6b3cdb2-6d0d-416d-b5ed-7e2f8f475285\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=479073;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b6b3cdb2-6d0d-416d-b5ed-7e2f8f475285\u001b\\\u001b[4;34m-b6b3cdb2-6d0\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=479073;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b6b3cdb2-6d0d-416d-b5ed-7e2f8f475285\u001b\\\u001b[4;34md-416d-b5ed-7e2f8f475285'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
     },
     "metadata": {},
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       "Output()"
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:43:08 -03 </span>Loading results from data/pol_split_d2.60_y.hdf5                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:43:08 -03\u001b[0m\u001b[2;36m \u001b[0mLoading results from data/pol_split_d2.60_y.hdf5                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:43:09 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0821</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:43:09 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.0821\u001b[0m\u001b[31m is greater   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "######  d = 3.50 µm  ######\n",
      "  [x-pol]  meta-atoms = 14400,  L_h = 48.33 µm\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:43:12 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'pol_split_d3.50_x'</span> with resource_id                  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-9c02c923-54bf-42d0-aba1-840d98e7a151'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:43:12 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'pol_split_d3.50_x'\u001b[0m with resource_id                  \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-9c02c923-54bf-42d0-aba1-840d98e7a151'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
      ]
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     "metadata": {},
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-9c02c923-54bf-42d0-aba1-840d98e7a151\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-9c02c923-54b</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-9c02c923-54bf-42d0-aba1-840d98e7a151\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">f-42d0-aba1-840d98e7a151'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=282051;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9c02c923-54bf-42d0-aba1-840d98e7a151\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=975845;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9c02c923-54bf-42d0-aba1-840d98e7a151\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=282051;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9c02c923-54bf-42d0-aba1-840d98e7a151\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=896172;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9c02c923-54bf-42d0-aba1-840d98e7a151\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=282051;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9c02c923-54bf-42d0-aba1-840d98e7a151\u001b\\\u001b[32m-9c02c923-54b\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=282051;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9c02c923-54bf-42d0-aba1-840d98e7a151\u001b\\\u001b[32mf-42d0-aba1-840d98e7a151'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
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     "metadata": {},
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     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=633954;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
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      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:43:19 -03 </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.971</span>. Minimum cost depends on task     \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:43:19 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m4.971\u001b[0m. Minimum cost depends on task     \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:43:21 -03 </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:43:21 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
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       "Output()"
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     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:43:31 -03 </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:43:31 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
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      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:43:48 -03 </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:43:48 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
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     },
     "metadata": {},
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
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       "Output()"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:45:02 -03 </span>status = postprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:45:02 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
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       "Output()"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:45:09 -03 </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:45:09 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:45:11 -03 </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-9c02c923-54bf-42d0-aba1-840d98e7a151\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-9c02c923-54b</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-9c02c923-54bf-42d0-aba1-840d98e7a151\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">f-42d0-aba1-840d98e7a151'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:45:11 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=444869;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9c02c923-54bf-42d0-aba1-840d98e7a151\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=271721;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9c02c923-54bf-42d0-aba1-840d98e7a151\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=444869;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9c02c923-54bf-42d0-aba1-840d98e7a151\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=90878;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9c02c923-54bf-42d0-aba1-840d98e7a151\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=444869;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9c02c923-54bf-42d0-aba1-840d98e7a151\u001b\\\u001b[4;34m-9c02c923-54b\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=444869;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9c02c923-54bf-42d0-aba1-840d98e7a151\u001b\\\u001b[4;34mf-42d0-aba1-840d98e7a151'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
     },
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       "Output()"
      ]
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     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:45:29 -03 </span>Loading results from data/pol_split_d3.50_x.hdf5                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:45:29 -03\u001b[0m\u001b[2;36m \u001b[0mLoading results from data/pol_split_d3.50_x.hdf5                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:45:30 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0742</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:45:30 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.0742\u001b[0m\u001b[31m is greater   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [y-pol]  meta-atoms = 14400,  L_h = 48.33 µm\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:45:33 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'pol_split_d3.50_y'</span> with resource_id                  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-efa6efe9-8eea-4cb1-8374-772700aa2247'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:45:33 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'pol_split_d3.50_y'\u001b[0m with resource_id                  \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-efa6efe9-8eea-4cb1-8374-772700aa2247'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-efa6efe9-8eea-4cb1-8374-772700aa2247\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-efa6efe9-8ee</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-efa6efe9-8eea-4cb1-8374-772700aa2247\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">a-4cb1-8374-772700aa2247'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=269583;https://tidy3d.simulation.cloud/workbench?taskId=fdve-efa6efe9-8eea-4cb1-8374-772700aa2247\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=486401;https://tidy3d.simulation.cloud/workbench?taskId=fdve-efa6efe9-8eea-4cb1-8374-772700aa2247\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=269583;https://tidy3d.simulation.cloud/workbench?taskId=fdve-efa6efe9-8eea-4cb1-8374-772700aa2247\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=806775;https://tidy3d.simulation.cloud/workbench?taskId=fdve-efa6efe9-8eea-4cb1-8374-772700aa2247\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=269583;https://tidy3d.simulation.cloud/workbench?taskId=fdve-efa6efe9-8eea-4cb1-8374-772700aa2247\u001b\\\u001b[32m-efa6efe9-8ee\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=269583;https://tidy3d.simulation.cloud/workbench?taskId=fdve-efa6efe9-8eea-4cb1-8374-772700aa2247\u001b\\\u001b[32ma-4cb1-8374-772700aa2247'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=77548;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
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      "text/plain": [
       "Output()"
      ]
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     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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      "text/plain": []
     },
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:45:39 -03 </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.971</span>. Minimum cost depends on task     \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:45:39 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m4.971\u001b[0m. Minimum cost depends on task     \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:45:42 -03 </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:45:42 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
      ]
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       "Output()"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:46:22 -03 </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:46:22 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:46:31 -03 </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:46:31 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
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       "Output()"
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       "</pre>\n"
      ],
      "text/plain": [
       "\n"
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     },
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:50:00 -03 </span>status = postprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:50:00 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:50:06 -03 </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:50:06 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:50:08 -03 </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-efa6efe9-8eea-4cb1-8374-772700aa2247\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-efa6efe9-8ee</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-efa6efe9-8eea-4cb1-8374-772700aa2247\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">a-4cb1-8374-772700aa2247'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:50:08 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=785596;https://tidy3d.simulation.cloud/workbench?taskId=fdve-efa6efe9-8eea-4cb1-8374-772700aa2247\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=662652;https://tidy3d.simulation.cloud/workbench?taskId=fdve-efa6efe9-8eea-4cb1-8374-772700aa2247\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=785596;https://tidy3d.simulation.cloud/workbench?taskId=fdve-efa6efe9-8eea-4cb1-8374-772700aa2247\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=606040;https://tidy3d.simulation.cloud/workbench?taskId=fdve-efa6efe9-8eea-4cb1-8374-772700aa2247\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=785596;https://tidy3d.simulation.cloud/workbench?taskId=fdve-efa6efe9-8eea-4cb1-8374-772700aa2247\u001b\\\u001b[4;34m-efa6efe9-8ee\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=785596;https://tidy3d.simulation.cloud/workbench?taskId=fdve-efa6efe9-8eea-4cb1-8374-772700aa2247\u001b\\\u001b[4;34ma-4cb1-8374-772700aa2247'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
     },
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       "Output()"
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     },
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:50:15 -03 </span>Loading results from data/pol_split_d3.50_y.hdf5                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:50:15 -03\u001b[0m\u001b[2;36m \u001b[0mLoading results from data/pol_split_d3.50_y.hdf5                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:50:16 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0834</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:50:16 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.0834\u001b[0m\u001b[31m is greater   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "######  d = 5.00 µm  ######\n",
      "  [x-pol]  meta-atoms = 14400,  L_h = 48.33 µm\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:50:18 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'pol_split_d5.00_x'</span> with resource_id                  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-b7784f58-6559-46f4-a47b-30131e4d5ad7'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:50:18 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'pol_split_d5.00_x'\u001b[0m with resource_id                  \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-b7784f58-6559-46f4-a47b-30131e4d5ad7'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-b7784f58-6559-46f4-a47b-30131e4d5ad7\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-b7784f58-655</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-b7784f58-6559-46f4-a47b-30131e4d5ad7\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">9-46f4-a47b-30131e4d5ad7'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=44067;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b7784f58-6559-46f4-a47b-30131e4d5ad7\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=492879;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b7784f58-6559-46f4-a47b-30131e4d5ad7\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=44067;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b7784f58-6559-46f4-a47b-30131e4d5ad7\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=438259;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b7784f58-6559-46f4-a47b-30131e4d5ad7\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=44067;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b7784f58-6559-46f4-a47b-30131e4d5ad7\u001b\\\u001b[32m-b7784f58-655\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=44067;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b7784f58-6559-46f4-a47b-30131e4d5ad7\u001b\\\u001b[32m9-46f4-a47b-30131e4d5ad7'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=576857;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
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    {
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      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:50:26 -03 </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.975</span>. Minimum cost depends on task     \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:50:26 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m4.975\u001b[0m. Minimum cost depends on task     \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:50:28 -03 </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:50:28 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
      ]
     },
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      },
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       "Output()"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:50:44 -03 </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:50:44 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:50:55 -03 </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:50:55 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
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    },
    {
     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:50:56 -03 </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:50:56 -03\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
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       "Output()"
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      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:54:26 -03 </span>status = postprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:54:26 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
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    {
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       "Output()"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:54:32 -03 </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:54:32 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
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     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:54:34 -03 </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-b7784f58-6559-46f4-a47b-30131e4d5ad7\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-b7784f58-655</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-b7784f58-6559-46f4-a47b-30131e4d5ad7\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">9-46f4-a47b-30131e4d5ad7'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:54:34 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=768988;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b7784f58-6559-46f4-a47b-30131e4d5ad7\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=317995;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b7784f58-6559-46f4-a47b-30131e4d5ad7\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=768988;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b7784f58-6559-46f4-a47b-30131e4d5ad7\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=10732;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b7784f58-6559-46f4-a47b-30131e4d5ad7\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=768988;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b7784f58-6559-46f4-a47b-30131e4d5ad7\u001b\\\u001b[4;34m-b7784f58-655\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=768988;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b7784f58-6559-46f4-a47b-30131e4d5ad7\u001b\\\u001b[4;34m9-46f4-a47b-30131e4d5ad7'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
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       "Output()"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:54:41 -03 </span>Loading results from data/pol_split_d5.00_x.hdf5                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:54:41 -03\u001b[0m\u001b[2;36m \u001b[0mLoading results from data/pol_split_d5.00_x.hdf5                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:54:42 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0755</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:54:42 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.0755\u001b[0m\u001b[31m is greater   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [y-pol]  meta-atoms = 14400,  L_h = 48.33 µm\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:54:44 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'pol_split_d5.00_y'</span> with resource_id                  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-a222347b-d28b-4b55-a257-310dcbf5bff7'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:54:44 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'pol_split_d5.00_y'\u001b[0m with resource_id                  \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-a222347b-d28b-4b55-a257-310dcbf5bff7'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
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     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-a222347b-d28b-4b55-a257-310dcbf5bff7\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-a222347b-d28</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-a222347b-d28b-4b55-a257-310dcbf5bff7\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">b-4b55-a257-310dcbf5bff7'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=105219;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a222347b-d28b-4b55-a257-310dcbf5bff7\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=40015;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a222347b-d28b-4b55-a257-310dcbf5bff7\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=105219;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a222347b-d28b-4b55-a257-310dcbf5bff7\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=174011;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a222347b-d28b-4b55-a257-310dcbf5bff7\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=105219;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a222347b-d28b-4b55-a257-310dcbf5bff7\u001b\\\u001b[32m-a222347b-d28\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=105219;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a222347b-d28b-4b55-a257-310dcbf5bff7\u001b\\\u001b[32mb-4b55-a257-310dcbf5bff7'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=455790;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
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       "Output()"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:54:51 -03 </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.975</span>. Minimum cost depends on task     \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:54:51 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m4.975\u001b[0m. Minimum cost depends on task     \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:54:53 -03 </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:54:53 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
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       "Output()"
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:55:11 -03 </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:55:11 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
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     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:55:20 -03 </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m16:55:20 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
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      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
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       "Output()"
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     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:02:13 -03 </span>status = postprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:02:13 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
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     "output_type": "display_data"
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    {
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       "Output()"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:02:20 -03 </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:02:20 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:02:22 -03 </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-a222347b-d28b-4b55-a257-310dcbf5bff7\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-a222347b-d28</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-a222347b-d28b-4b55-a257-310dcbf5bff7\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">b-4b55-a257-310dcbf5bff7'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:02:22 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=480533;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a222347b-d28b-4b55-a257-310dcbf5bff7\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=9581;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a222347b-d28b-4b55-a257-310dcbf5bff7\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=480533;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a222347b-d28b-4b55-a257-310dcbf5bff7\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=159375;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a222347b-d28b-4b55-a257-310dcbf5bff7\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=480533;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a222347b-d28b-4b55-a257-310dcbf5bff7\u001b\\\u001b[4;34m-a222347b-d28\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=480533;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a222347b-d28b-4b55-a257-310dcbf5bff7\u001b\\\u001b[4;34mb-4b55-a257-310dcbf5bff7'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
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       "Output()"
      ]
     },
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:02:30 -03 </span>Loading results from data/pol_split_d5.00_y.hdf5                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:02:30 -03\u001b[0m\u001b[2;36m \u001b[0mLoading results from data/pol_split_d5.00_y.hdf5                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:02:31 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0852</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:02:31 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.0852\u001b[0m\u001b[31m is greater   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "######  d = 10.00 µm  ######\n",
      "  [x-pol]  meta-atoms = 14400,  L_h = 48.33 µm\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:02:33 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'pol_split_d10.00_x'</span> with resource_id                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-fef42b68-200b-4acb-b12c-ec2b535efb51'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:02:33 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'pol_split_d10.00_x'\u001b[0m with resource_id                 \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-fef42b68-200b-4acb-b12c-ec2b535efb51'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
      ]
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     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-fef42b68-200b-4acb-b12c-ec2b535efb51\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-fef42b68-200</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-fef42b68-200b-4acb-b12c-ec2b535efb51\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">b-4acb-b12c-ec2b535efb51'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=316766;https://tidy3d.simulation.cloud/workbench?taskId=fdve-fef42b68-200b-4acb-b12c-ec2b535efb51\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=618124;https://tidy3d.simulation.cloud/workbench?taskId=fdve-fef42b68-200b-4acb-b12c-ec2b535efb51\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=316766;https://tidy3d.simulation.cloud/workbench?taskId=fdve-fef42b68-200b-4acb-b12c-ec2b535efb51\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=690346;https://tidy3d.simulation.cloud/workbench?taskId=fdve-fef42b68-200b-4acb-b12c-ec2b535efb51\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=316766;https://tidy3d.simulation.cloud/workbench?taskId=fdve-fef42b68-200b-4acb-b12c-ec2b535efb51\u001b\\\u001b[32m-fef42b68-200\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=316766;https://tidy3d.simulation.cloud/workbench?taskId=fdve-fef42b68-200b-4acb-b12c-ec2b535efb51\u001b\\\u001b[32mb-4acb-b12c-ec2b535efb51'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=673631;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
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       "Output()"
      ]
     },
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:02:39 -03 </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.971</span>. Minimum cost depends on task     \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:02:39 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m4.971\u001b[0m. Minimum cost depends on task     \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:02:42 -03 </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:02:42 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
      ]
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       "Output()"
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:02:54 -03 </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:02:54 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
      ]
     },
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:03:05 -03 </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:03:05 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:03:06 -03 </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:03:06 -03\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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    {
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:05:54 -03 </span>status = postprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:05:54 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:06:04 -03 </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:06:04 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:06:06 -03 </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-fef42b68-200b-4acb-b12c-ec2b535efb51\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-fef42b68-200</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-fef42b68-200b-4acb-b12c-ec2b535efb51\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">b-4acb-b12c-ec2b535efb51'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:06:06 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=716026;https://tidy3d.simulation.cloud/workbench?taskId=fdve-fef42b68-200b-4acb-b12c-ec2b535efb51\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=488938;https://tidy3d.simulation.cloud/workbench?taskId=fdve-fef42b68-200b-4acb-b12c-ec2b535efb51\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=716026;https://tidy3d.simulation.cloud/workbench?taskId=fdve-fef42b68-200b-4acb-b12c-ec2b535efb51\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=290904;https://tidy3d.simulation.cloud/workbench?taskId=fdve-fef42b68-200b-4acb-b12c-ec2b535efb51\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=716026;https://tidy3d.simulation.cloud/workbench?taskId=fdve-fef42b68-200b-4acb-b12c-ec2b535efb51\u001b\\\u001b[4;34m-fef42b68-200\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=716026;https://tidy3d.simulation.cloud/workbench?taskId=fdve-fef42b68-200b-4acb-b12c-ec2b535efb51\u001b\\\u001b[4;34mb-4acb-b12c-ec2b535efb51'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
     },
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       "Output()"
      ]
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:06:17 -03 </span>Loading results from data/pol_split_d10.00_x.hdf5                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:06:17 -03\u001b[0m\u001b[2;36m \u001b[0mLoading results from data/pol_split_d10.00_x.hdf5                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:06:18 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0768</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:06:18 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.0768\u001b[0m\u001b[31m is greater   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [y-pol]  meta-atoms = 14400,  L_h = 48.33 µm\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:06:20 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'pol_split_d10.00_y'</span> with resource_id                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-8ced7ba0-2f96-4812-9151-d1d05dbcfaea'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:06:20 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'pol_split_d10.00_y'\u001b[0m with resource_id                 \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-8ced7ba0-2f96-4812-9151-d1d05dbcfaea'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-8ced7ba0-2f96-4812-9151-d1d05dbcfaea\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-8ced7ba0-2f9</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-8ced7ba0-2f96-4812-9151-d1d05dbcfaea\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">6-4812-9151-d1d05dbcfaea'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=883895;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8ced7ba0-2f96-4812-9151-d1d05dbcfaea\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=667833;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8ced7ba0-2f96-4812-9151-d1d05dbcfaea\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=883895;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8ced7ba0-2f96-4812-9151-d1d05dbcfaea\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=853099;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8ced7ba0-2f96-4812-9151-d1d05dbcfaea\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=883895;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8ced7ba0-2f96-4812-9151-d1d05dbcfaea\u001b\\\u001b[32m-8ced7ba0-2f9\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=883895;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8ced7ba0-2f96-4812-9151-d1d05dbcfaea\u001b\\\u001b[32m6-4812-9151-d1d05dbcfaea'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=471758;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
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    {
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:06:26 -03 </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.971</span>. Minimum cost depends on task     \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:06:26 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m4.971\u001b[0m. Minimum cost depends on task     \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:06:29 -03 </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:06:29 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "model_id": "56986b7dc58c44ec92ce0ca829abe37c",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:06:41 -03 </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:06:41 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:06:52 -03 </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:06:52 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:06:53 -03 </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:06:53 -03\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:09:43 -03 </span>status = postprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:09:43 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2c5b7a2af51041f69b34d02449e9c6b2",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:09:50 -03 </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:09:50 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:09:52 -03 </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-8ced7ba0-2f96-4812-9151-d1d05dbcfaea\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-8ced7ba0-2f9</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-8ced7ba0-2f96-4812-9151-d1d05dbcfaea\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">6-4812-9151-d1d05dbcfaea'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:09:52 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=442078;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8ced7ba0-2f96-4812-9151-d1d05dbcfaea\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=160903;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8ced7ba0-2f96-4812-9151-d1d05dbcfaea\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=442078;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8ced7ba0-2f96-4812-9151-d1d05dbcfaea\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=729588;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8ced7ba0-2f96-4812-9151-d1d05dbcfaea\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=442078;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8ced7ba0-2f96-4812-9151-d1d05dbcfaea\u001b\\\u001b[4;34m-8ced7ba0-2f9\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=442078;https://tidy3d.simulation.cloud/workbench?taskId=fdve-8ced7ba0-2f96-4812-9151-d1d05dbcfaea\u001b\\\u001b[4;34m6-4812-9151-d1d05dbcfaea'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
     },
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      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:10:10 -03 </span>Loading results from data/pol_split_d10.00_y.hdf5                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:10:10 -03\u001b[0m\u001b[2;36m \u001b[0mLoading results from data/pol_split_d10.00_y.hdf5                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0868</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.0868\u001b[0m\u001b[31m is greater   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "######  d = 15.00 µm  ######\n",
      "  [x-pol]  meta-atoms = 14400,  L_h = 48.33 µm\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:10:13 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'pol_split_d15.00_x'</span> with resource_id                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-2fe92977-9da9-4da1-b7e6-ccd4069d3df1'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:10:13 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'pol_split_d15.00_x'\u001b[0m with resource_id                 \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-2fe92977-9da9-4da1-b7e6-ccd4069d3df1'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-2fe92977-9da9-4da1-b7e6-ccd4069d3df1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-2fe92977-9da</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-2fe92977-9da9-4da1-b7e6-ccd4069d3df1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">9-4da1-b7e6-ccd4069d3df1'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=702759;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2fe92977-9da9-4da1-b7e6-ccd4069d3df1\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=969842;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2fe92977-9da9-4da1-b7e6-ccd4069d3df1\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=702759;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2fe92977-9da9-4da1-b7e6-ccd4069d3df1\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=716170;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2fe92977-9da9-4da1-b7e6-ccd4069d3df1\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=702759;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2fe92977-9da9-4da1-b7e6-ccd4069d3df1\u001b\\\u001b[32m-2fe92977-9da\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=702759;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2fe92977-9da9-4da1-b7e6-ccd4069d3df1\u001b\\\u001b[32m9-4da1-b7e6-ccd4069d3df1'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=705854;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
     },
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    {
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:10:20 -03 </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.971</span>. Minimum cost depends on task     \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:10:20 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m4.971\u001b[0m. Minimum cost depends on task     \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:10:22 -03 </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:10:22 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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    {
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       "model_id": "16457c05d6ee430191d10e427690bf8a",
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       "version_minor": 0
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      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:10:34 -03 </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:10:34 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:10:39 -03 </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:10:39 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:10:40 -03 </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:10:40 -03\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "385d7a5feced4a44b89e4124da313ba9",
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       "version_minor": 0
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      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:17:40 -03 </span>status = postprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:17:40 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c45dda1636cd4b9ea6b48740323c3a3d",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:17:47 -03 </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:17:47 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:17:49 -03 </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-2fe92977-9da9-4da1-b7e6-ccd4069d3df1\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-2fe92977-9da</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-2fe92977-9da9-4da1-b7e6-ccd4069d3df1\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">9-4da1-b7e6-ccd4069d3df1'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:17:49 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=843832;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2fe92977-9da9-4da1-b7e6-ccd4069d3df1\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=785635;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2fe92977-9da9-4da1-b7e6-ccd4069d3df1\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=843832;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2fe92977-9da9-4da1-b7e6-ccd4069d3df1\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=99689;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2fe92977-9da9-4da1-b7e6-ccd4069d3df1\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=843832;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2fe92977-9da9-4da1-b7e6-ccd4069d3df1\u001b\\\u001b[4;34m-2fe92977-9da\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=843832;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2fe92977-9da9-4da1-b7e6-ccd4069d3df1\u001b\\\u001b[4;34m9-4da1-b7e6-ccd4069d3df1'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:18:04 -03 </span>Loading results from data/pol_split_d15.00_x.hdf5                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:18:04 -03\u001b[0m\u001b[2;36m \u001b[0mLoading results from data/pol_split_d15.00_x.hdf5                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:18:05 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0782</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:18:05 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.0782\u001b[0m\u001b[31m is greater   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [y-pol]  meta-atoms = 14400,  L_h = 48.33 µm\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:18:08 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'pol_split_d15.00_y'</span> with resource_id                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-bc3db93b-ea76-4796-80d9-bb6654d067c4'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:18:08 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'pol_split_d15.00_y'\u001b[0m with resource_id                 \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-bc3db93b-ea76-4796-80d9-bb6654d067c4'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-bc3db93b-ea76-4796-80d9-bb6654d067c4\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-bc3db93b-ea7</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-bc3db93b-ea76-4796-80d9-bb6654d067c4\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">6-4796-80d9-bb6654d067c4'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=236329;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bc3db93b-ea76-4796-80d9-bb6654d067c4\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=776036;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bc3db93b-ea76-4796-80d9-bb6654d067c4\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=236329;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bc3db93b-ea76-4796-80d9-bb6654d067c4\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=117900;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bc3db93b-ea76-4796-80d9-bb6654d067c4\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=236329;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bc3db93b-ea76-4796-80d9-bb6654d067c4\u001b\\\u001b[32m-bc3db93b-ea7\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=236329;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bc3db93b-ea76-4796-80d9-bb6654d067c4\u001b\\\u001b[32m6-4796-80d9-bb6654d067c4'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=682241;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c834f1159496408582abbb61b1e271d5",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:18:15 -03 </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.971</span>. Minimum cost depends on task     \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:18:15 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m4.971\u001b[0m. Minimum cost depends on task     \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:18:17 -03 </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:18:17 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "12e23ad913894d05983ba98fe4e60662",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:18:30 -03 </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:18:30 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:18:38 -03 </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:18:38 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8f51a038c3884a61b14e23f7a160be46",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:25:47 -03 </span>status = postprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:25:47 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c4ab44af99914373ad948a96196ef1f5",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:25:53 -03 </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:25:53 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:25:55 -03 </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-bc3db93b-ea76-4796-80d9-bb6654d067c4\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-bc3db93b-ea7</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-bc3db93b-ea76-4796-80d9-bb6654d067c4\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">6-4796-80d9-bb6654d067c4'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:25:55 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=400865;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bc3db93b-ea76-4796-80d9-bb6654d067c4\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=548754;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bc3db93b-ea76-4796-80d9-bb6654d067c4\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=400865;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bc3db93b-ea76-4796-80d9-bb6654d067c4\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=258026;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bc3db93b-ea76-4796-80d9-bb6654d067c4\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=400865;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bc3db93b-ea76-4796-80d9-bb6654d067c4\u001b\\\u001b[4;34m-bc3db93b-ea7\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=400865;https://tidy3d.simulation.cloud/workbench?taskId=fdve-bc3db93b-ea76-4796-80d9-bb6654d067c4\u001b\\\u001b[4;34m6-4796-80d9-bb6654d067c4'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
     },
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     "output_type": "display_data"
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    {
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      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d606c265d01049ab85a8f7fe4e46e988",
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      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:26:28 -03 </span>Loading results from data/pol_split_d15.00_y.hdf5                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:26:28 -03\u001b[0m\u001b[2;36m \u001b[0mLoading results from data/pol_split_d15.00_y.hdf5                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:26:29 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0893</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:26:29 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.0893\u001b[0m\u001b[31m is greater   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "######  d = 20.00 µm  ######\n",
      "  [x-pol]  meta-atoms = 14400,  L_h = 48.33 µm\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:26:32 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'pol_split_d20.00_x'</span> with resource_id                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-9f76c500-f053-4d4d-a0b4-ecb57cdbe476'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:26:32 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'pol_split_d20.00_x'\u001b[0m with resource_id                 \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-9f76c500-f053-4d4d-a0b4-ecb57cdbe476'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
      ]
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f76c500-f053-4d4d-a0b4-ecb57cdbe476\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f76c500-f05</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f76c500-f053-4d4d-a0b4-ecb57cdbe476\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">3-4d4d-a0b4-ecb57cdbe476'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=997137;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f76c500-f053-4d4d-a0b4-ecb57cdbe476\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=291561;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f76c500-f053-4d4d-a0b4-ecb57cdbe476\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=997137;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f76c500-f053-4d4d-a0b4-ecb57cdbe476\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=495697;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f76c500-f053-4d4d-a0b4-ecb57cdbe476\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=997137;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f76c500-f053-4d4d-a0b4-ecb57cdbe476\u001b\\\u001b[32m-9f76c500-f05\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=997137;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f76c500-f053-4d4d-a0b4-ecb57cdbe476\u001b\\\u001b[32m3-4d4d-a0b4-ecb57cdbe476'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=203591;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
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      },
      "text/plain": [
       "Output()"
      ]
     },
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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    {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:26:39 -03 </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.967</span>. Minimum cost depends on task     \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:26:39 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m4.967\u001b[0m. Minimum cost depends on task     \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:26:41 -03 </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:26:41 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c5912bcabaf644ada3cb46ff95033bf1",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:27:00 -03 </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:27:00 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:27:07 -03 </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:27:07 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:27:08 -03 </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:27:08 -03\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2b34954e7f6f463ca43924d8146e766a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:33:54 -03 </span>status = postprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:33:54 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c5261e08a34a400ba175d9ef4c736755",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:34:01 -03 </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:34:01 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:34:03 -03 </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f76c500-f053-4d4d-a0b4-ecb57cdbe476\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f76c500-f05</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f76c500-f053-4d4d-a0b4-ecb57cdbe476\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">3-4d4d-a0b4-ecb57cdbe476'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:34:03 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=829200;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f76c500-f053-4d4d-a0b4-ecb57cdbe476\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=438088;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f76c500-f053-4d4d-a0b4-ecb57cdbe476\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=829200;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f76c500-f053-4d4d-a0b4-ecb57cdbe476\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=137695;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f76c500-f053-4d4d-a0b4-ecb57cdbe476\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=829200;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f76c500-f053-4d4d-a0b4-ecb57cdbe476\u001b\\\u001b[4;34m-9f76c500-f05\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=829200;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f76c500-f053-4d4d-a0b4-ecb57cdbe476\u001b\\\u001b[4;34m3-4d4d-a0b4-ecb57cdbe476'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "dcf6359622bf41ffb85bd8e838db424c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:34:30 -03 </span>Loading results from data/pol_split_d20.00_x.hdf5                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:34:30 -03\u001b[0m\u001b[2;36m \u001b[0mLoading results from data/pol_split_d20.00_x.hdf5                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:34:31 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0785</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:34:31 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.0785\u001b[0m\u001b[31m is greater   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  [y-pol]  meta-atoms = 14400,  L_h = 48.33 µm\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:34:34 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'pol_split_d20.00_y'</span> with resource_id                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-07bb7172-6a61-4e9c-89f8-e40e21ab6afb'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:34:34 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'pol_split_d20.00_y'\u001b[0m with resource_id                 \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-07bb7172-6a61-4e9c-89f8-e40e21ab6afb'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-07bb7172-6a61-4e9c-89f8-e40e21ab6afb\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-07bb7172-6a6</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-07bb7172-6a61-4e9c-89f8-e40e21ab6afb\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">1-4e9c-89f8-e40e21ab6afb'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=168213;https://tidy3d.simulation.cloud/workbench?taskId=fdve-07bb7172-6a61-4e9c-89f8-e40e21ab6afb\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=485298;https://tidy3d.simulation.cloud/workbench?taskId=fdve-07bb7172-6a61-4e9c-89f8-e40e21ab6afb\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=168213;https://tidy3d.simulation.cloud/workbench?taskId=fdve-07bb7172-6a61-4e9c-89f8-e40e21ab6afb\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=403501;https://tidy3d.simulation.cloud/workbench?taskId=fdve-07bb7172-6a61-4e9c-89f8-e40e21ab6afb\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=168213;https://tidy3d.simulation.cloud/workbench?taskId=fdve-07bb7172-6a61-4e9c-89f8-e40e21ab6afb\u001b\\\u001b[32m-07bb7172-6a6\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=168213;https://tidy3d.simulation.cloud/workbench?taskId=fdve-07bb7172-6a61-4e9c-89f8-e40e21ab6afb\u001b\\\u001b[32m1-4e9c-89f8-e40e21ab6afb'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=149279;https://tidy3d.simulation.cloud/folders/folder-431883bc-afbb-4cc8-a95f-ddfeaeeb059a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5bd0a7636b434d5ebb69a74139fbb0a5",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:34:40 -03 </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4.967</span>. Minimum cost depends on task     \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:34:40 -03\u001b[0m\u001b[2;36m \u001b[0mEstimated FlexCredit cost: \u001b[1;36m4.967\u001b[0m. Minimum cost depends on task     \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:34:43 -03 </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:34:43 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "model_id": "d0ad919752a04a4f92fc7276765ce84e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:34:55 -03 </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:34:55 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:35:06 -03 </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:35:06 -03\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:35:07 -03 </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:35:07 -03\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ce035965c74648fa8a71d342d4a50384",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:37:55 -03 </span>status = postprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:37:55 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "93b37299612c40d1970ac9f2766bad70",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:38:07 -03 </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:38:07 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:38:09 -03 </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-07bb7172-6a61-4e9c-89f8-e40e21ab6afb\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-07bb7172-6a6</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-07bb7172-6a61-4e9c-89f8-e40e21ab6afb\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">1-4e9c-89f8-e40e21ab6afb'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:38:09 -03\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=633181;https://tidy3d.simulation.cloud/workbench?taskId=fdve-07bb7172-6a61-4e9c-89f8-e40e21ab6afb\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=74711;https://tidy3d.simulation.cloud/workbench?taskId=fdve-07bb7172-6a61-4e9c-89f8-e40e21ab6afb\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=633181;https://tidy3d.simulation.cloud/workbench?taskId=fdve-07bb7172-6a61-4e9c-89f8-e40e21ab6afb\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=713534;https://tidy3d.simulation.cloud/workbench?taskId=fdve-07bb7172-6a61-4e9c-89f8-e40e21ab6afb\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=633181;https://tidy3d.simulation.cloud/workbench?taskId=fdve-07bb7172-6a61-4e9c-89f8-e40e21ab6afb\u001b\\\u001b[4;34m-07bb7172-6a6\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=633181;https://tidy3d.simulation.cloud/workbench?taskId=fdve-07bb7172-6a61-4e9c-89f8-e40e21ab6afb\u001b\\\u001b[4;34m1-4e9c-89f8-e40e21ab6afb'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
     },
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     "output_type": "display_data"
    },
    {
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       "model_id": "9e8dcaab683749499923f8b891388693",
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      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:38:20 -03 </span>Loading results from data/pol_split_d20.00_y.hdf5                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:38:20 -03\u001b[0m\u001b[2;36m \u001b[0mLoading results from data/pol_split_d20.00_y.hdf5                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:38:21 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0886</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:38:21 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.0886\u001b[0m\u001b[31m is greater   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "All PBS sweep runs complete.\n"
     ]
    }
   ],
   "source": [
    "D_LIST = np.array([2.6, 3.5, 5.0, 10.0, 15.0, 20.0])\n",
    "\n",
    "\n",
    "def build_pbs_sim(d, pol, L=L_METALENS, na=NA_PBS, f_offset_pbs=5.0):\n",
    "    \"\"\"\n",
    "    Build an FDTD simulation for the PBS metasurface with both x- and y-meanders.\n",
    "\n",
    "    `pol` selects which input polarization is excited ('x' or 'y'); the geometry\n",
    "    is identical between the two cases.\n",
    "\n",
    "    `f_offset_pbs` is the empirical paraxial-to-actual focal-plane correction\n",
    "    for the anisotropic PBS meta-atom library at NA = 0.5.\n",
    "    \"\"\"\n",
    "    f00 = (L/2) / np.tan(np.arcsin(na))\n",
    "    f   = f00 - H_ANT_PBS - f_offset_pbs\n",
    "\n",
    "    L_sim_xy = L + 2 * XY_BUFFER\n",
    "    L_h      = 2*LDA/3 + SUB_T + H_ANT_PBS + f + CAVITY_H_PBS\n",
    "    sub_z    = -L_h/2 + 2*LDA/3 + SUB_T/2\n",
    "    metalens_top = sub_z + SUB_T/2 + H_ANT_PBS\n",
    "    cavity_z = metalens_top + f + CAVITY_H_PBS/2\n",
    "    cavity_bot = cavity_z - CAVITY_H_PBS/2\n",
    "    nanowire_z = cavity_bot - NW_T/2\n",
    "\n",
    "    # --- Structures ---\n",
    "    metalens_sub = td.Structure(\n",
    "        geometry=td.Box(center=[0, 0, sub_z],\n",
    "                        size=[td.inf, td.inf, SUB_T]),\n",
    "        name=\"metalens_sub\", medium=SIO2,\n",
    "    )\n",
    "    atoms, _ = pbs_meta_atoms(L, na, d, CELL_PBS, NUM_CELLS_PBS, LDA,\n",
    "                              sub_z=sub_z, sub_t=SUB_T, h_ant=H_ANT_PBS)\n",
    "    metalens = td.Structure(\n",
    "        geometry=td.GeometryGroup(geometries=atoms),\n",
    "        medium=SILICON, name=\"metalens\",\n",
    "    )\n",
    "    cavity = td.Structure(\n",
    "        geometry=td.Box.from_bounds(\n",
    "            rmin=[-1e5, -1e5, cavity_bot],\n",
    "            rmax=[ 1e5,  1e5,  1e5],\n",
    "        ),\n",
    "        name=\"cavity\", medium=SIO2,\n",
    "    )\n",
    "\n",
    "    # --- Two meanders ---\n",
    "    nw_y0_x = -(2*NW_N - 1)*NW_W/2 + NW_W/2                  # x-meander wires shift in y\n",
    "    x_wires = [\n",
    "        td.Box(center=[d, nw_y0_x + 2*NW_W*n, nanowire_z],\n",
    "               size=[NW_L, NW_W, NW_T])\n",
    "        for n in range(NW_N)\n",
    "    ]\n",
    "    nw_y0_y = -d - (2*NW_N - 1)*NW_W/2 + NW_W/2              # y-meander wires shift in x\n",
    "    y_wires = [\n",
    "        td.Box(center=[nw_y0_y + 2*NW_W*n, 0, nanowire_z],\n",
    "               size=[NW_W, NW_L, NW_T])\n",
    "        for n in range(NW_N)\n",
    "    ]\n",
    "    x_meander = td.Structure(\n",
    "        geometry=td.GeometryGroup(geometries=x_wires),\n",
    "        medium=NBTIN, name=\"x_meander\",\n",
    "    )\n",
    "    y_meander = td.Structure(\n",
    "        geometry=td.GeometryGroup(geometries=y_wires),\n",
    "        medium=NBTIN, name=\"y_meander\",\n",
    "    )\n",
    "\n",
    "    # --- Source ---\n",
    "    src = td.PlaneWave(\n",
    "        name=f\"{pol}_pol\",\n",
    "        center=[0, 0, sub_z - SUB_T],\n",
    "        size=[L, L, 0],\n",
    "        source_time=td.GaussianPulse(freq0=F0, fwidth=F0/5),\n",
    "        num_freqs=1, direction=\"+\",\n",
    "        pol_angle=0 if pol == \"x\" else np.pi/2,\n",
    "    )\n",
    "\n",
    "    # --- Field monitors over each meander volume ---\n",
    "    nw_total = (2*NW_N - 1)*NW_W + 2*0.02\n",
    "    abs_mon_x = td.FieldMonitor(\n",
    "        name=\"abs_mon_x\",\n",
    "        center=[d, 0, nanowire_z],\n",
    "        size=[NW_L, nw_total, NW_T + 0.02],\n",
    "        freqs=[F0], fields=[\"Ex\", \"Ey\", \"Ez\"],\n",
    "    )\n",
    "    abs_mon_y = td.FieldMonitor(\n",
    "        name=\"abs_mon_y\",\n",
    "        center=[-d, 0, nanowire_z],\n",
    "        size=[nw_total, NW_L, NW_T + 0.02],\n",
    "        freqs=[F0], fields=[\"Ex\", \"Ey\", \"Ez\"],\n",
    "    )\n",
    "    focal_field = td.FieldMonitor(\n",
    "        name=\"focal_field\",\n",
    "        center=[0, 0, nanowire_z],\n",
    "        size=[td.inf, td.inf, 0],\n",
    "        freqs=[F0], fields=[\"Ex\", \"Ey\", \"Ez\"],\n",
    "    )\n",
    "    field_xz = td.FieldMonitor(\n",
    "        name=\"field_xz\",\n",
    "        size=[td.inf, 0, td.inf],\n",
    "        freqs=[F0], fields=[\"Ex\", \"Ey\", \"Ez\"],\n",
    "    )\n",
    "\n",
    "    # --- Mesh refinement on each meander ---\n",
    "    refine_x = td.MeshOverrideStructure(\n",
    "        geometry=td.Box(center=[d, 0, nanowire_z],\n",
    "                        size=[NW_L, nw_total, NW_T]),\n",
    "        dl=[None, 0.02, 0.003],\n",
    "    )\n",
    "    refine_y = td.MeshOverrideStructure(\n",
    "        geometry=td.Box(center=[-d, 0, nanowire_z],\n",
    "                        size=[nw_total, NW_L, NW_T]),\n",
    "        dl=[0.02, None, 0.003],\n",
    "    )\n",
    "\n",
    "    boundary_z = td.Boundary(minus=td.PML(), plus=td.PECBoundary())\n",
    "\n",
    "    sim = td.Simulation(\n",
    "        size=(L_sim_xy, L_sim_xy, L_h),\n",
    "        grid_spec=td.GridSpec.auto(\n",
    "            wavelength=LDA, min_steps_per_wvl=6,\n",
    "            override_structures=[refine_x, refine_y],\n",
    "        ),\n",
    "        structures=[metalens_sub, metalens, cavity, x_meander, y_meander],\n",
    "        boundary_spec=td.BoundarySpec(\n",
    "            x=td.Boundary.pml(), y=td.Boundary.pml(), z=boundary_z,\n",
    "        ),\n",
    "        sources=[src],\n",
    "        monitors=[abs_mon_x, abs_mon_y, focal_field, field_xz],\n",
    "        run_time=5e-13,\n",
    "    )\n",
    "    return sim, dict(n_atoms=len(atoms), nanowire_z=nanowire_z, L_h=L_h)\n",
    "\n",
    "\n",
    "# --- Launch the sweep ---\n",
    "for d in D_LIST:\n",
    "    print(f\"\\n######  d = {d:.2f} µm  ######\")\n",
    "    for pol in (\"x\", \"y\"):\n",
    "        sim, info = build_pbs_sim(d, pol)\n",
    "        print(f\"  [{pol}-pol]  meta-atoms = {info['n_atoms']},  L_h = {info['L_h']:.2f} µm\")\n",
    "        web.run(\n",
    "            sim,\n",
    "            task_name=f\"pol_split_d{d:.2f}_{pol}\",\n",
    "            path=os.path.join(DATA_DIR, f\"pol_split_d{d:.2f}_{pol}.hdf5\"),\n",
    "            verbose=True,\n",
    "        )\n",
    "\n",
    "print(\"\\nAll PBS sweep runs complete.\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8108c2fd0788",
   "metadata": {},
   "source": [
    "## 11. PBS Post-Processing — Cross-Talk vs Separation\n",
    "\n",
    "Same idea as Section 6 — we integrate $\\tfrac{1}{2}\\sigma|E|^2$ over the NbTiN volume — but now we have **two** meanders and **two** input polarizations, so we extract four absorbed-power numbers per `d`. From those we compute the cross-talk in dB.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "9c5946a24b06",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===== d = 2.60 µm =====\n",
      "  [x-pol]   P_abs(x-mnd) = 47.627 %   P_abs(y-mnd) =  4.277 %   CT = -10.47 dB\n",
      "  [y-pol]   P_abs(x-mnd) =  1.293 %   P_abs(y-mnd) = 35.510 %   CT = -14.39 dB\n",
      "===== d = 3.50 µm =====\n",
      "  [x-pol]   P_abs(x-mnd) = 47.640 %   P_abs(y-mnd) =  1.597 %   CT = -14.75 dB\n",
      "  [y-pol]   P_abs(x-mnd) =  0.509 %   P_abs(y-mnd) = 35.951 %   CT = -18.49 dB\n",
      "===== d = 5.00 µm =====\n",
      "  [x-pol]   P_abs(x-mnd) = 47.050 %   P_abs(y-mnd) =  1.467 %   CT = -15.06 dB\n",
      "  [y-pol]   P_abs(x-mnd) =  0.511 %   P_abs(y-mnd) = 34.364 %   CT = -18.28 dB\n",
      "===== d = 10.00 µm =====\n",
      "  [x-pol]   P_abs(x-mnd) = 46.368 %   P_abs(y-mnd) =  1.246 %   CT = -15.71 dB\n",
      "  [y-pol]   P_abs(x-mnd) =  0.701 %   P_abs(y-mnd) = 32.687 %   CT = -16.69 dB\n",
      "===== d = 15.00 µm =====\n",
      "  [x-pol]   P_abs(x-mnd) = 45.006 %   P_abs(y-mnd) =  1.652 %   CT = -14.35 dB\n",
      "  [y-pol]   P_abs(x-mnd) =  0.864 %   P_abs(y-mnd) = 32.366 %   CT = -15.73 dB\n",
      "===== d = 20.00 µm =====\n",
      "  [x-pol]   P_abs(x-mnd) = 41.900 %   P_abs(y-mnd) =  1.629 %   CT = -14.10 dB\n",
      "  [y-pol]   P_abs(x-mnd) =  0.622 %   P_abs(y-mnd) = 29.364 %   CT = -16.74 dB\n",
      "\n",
      "Saved: data/pbs_summary.csv\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>d_um</th>\n",
       "      <th>Pabs_x_x</th>\n",
       "      <th>Pabs_y_x</th>\n",
       "      <th>intended_x</th>\n",
       "      <th>unintended_x</th>\n",
       "      <th>crosstalk_dB_x</th>\n",
       "      <th>Pabs_x_y</th>\n",
       "      <th>Pabs_y_y</th>\n",
       "      <th>intended_y</th>\n",
       "      <th>unintended_y</th>\n",
       "      <th>crosstalk_dB_y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2.6</td>\n",
       "      <td>0.476272</td>\n",
       "      <td>0.042772</td>\n",
       "      <td>0.476272</td>\n",
       "      <td>0.042772</td>\n",
       "      <td>-10.466974</td>\n",
       "      <td>0.012926</td>\n",
       "      <td>0.355096</td>\n",
       "      <td>0.355096</td>\n",
       "      <td>0.012926</td>\n",
       "      <td>-14.388930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3.5</td>\n",
       "      <td>0.476399</td>\n",
       "      <td>0.015975</td>\n",
       "      <td>0.476399</td>\n",
       "      <td>0.015975</td>\n",
       "      <td>-14.745411</td>\n",
       "      <td>0.005091</td>\n",
       "      <td>0.359512</td>\n",
       "      <td>0.359512</td>\n",
       "      <td>0.005091</td>\n",
       "      <td>-18.489409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5.0</td>\n",
       "      <td>0.470502</td>\n",
       "      <td>0.014675</td>\n",
       "      <td>0.470502</td>\n",
       "      <td>0.014675</td>\n",
       "      <td>-15.059945</td>\n",
       "      <td>0.005112</td>\n",
       "      <td>0.343636</td>\n",
       "      <td>0.343636</td>\n",
       "      <td>0.005112</td>\n",
       "      <td>-18.275019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10.0</td>\n",
       "      <td>0.463682</td>\n",
       "      <td>0.012460</td>\n",
       "      <td>0.463682</td>\n",
       "      <td>0.012460</td>\n",
       "      <td>-15.707041</td>\n",
       "      <td>0.007012</td>\n",
       "      <td>0.326873</td>\n",
       "      <td>0.326873</td>\n",
       "      <td>0.007012</td>\n",
       "      <td>-16.685366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>15.0</td>\n",
       "      <td>0.450061</td>\n",
       "      <td>0.016516</td>\n",
       "      <td>0.450061</td>\n",
       "      <td>0.016516</td>\n",
       "      <td>-14.353584</td>\n",
       "      <td>0.008643</td>\n",
       "      <td>0.323660</td>\n",
       "      <td>0.323660</td>\n",
       "      <td>0.008643</td>\n",
       "      <td>-15.734438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>20.0</td>\n",
       "      <td>0.418997</td>\n",
       "      <td>0.016285</td>\n",
       "      <td>0.418997</td>\n",
       "      <td>0.016285</td>\n",
       "      <td>-14.104188</td>\n",
       "      <td>0.006224</td>\n",
       "      <td>0.293639</td>\n",
       "      <td>0.293639</td>\n",
       "      <td>0.006224</td>\n",
       "      <td>-16.737599</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   d_um  Pabs_x_x  Pabs_y_x  intended_x  unintended_x  crosstalk_dB_x  \\\n",
       "0   2.6  0.476272  0.042772    0.476272      0.042772      -10.466974   \n",
       "1   3.5  0.476399  0.015975    0.476399      0.015975      -14.745411   \n",
       "2   5.0  0.470502  0.014675    0.470502      0.014675      -15.059945   \n",
       "3  10.0  0.463682  0.012460    0.463682      0.012460      -15.707041   \n",
       "4  15.0  0.450061  0.016516    0.450061      0.016516      -14.353584   \n",
       "5  20.0  0.418997  0.016285    0.418997      0.016285      -14.104188   \n",
       "\n",
       "   Pabs_x_y  Pabs_y_y  intended_y  unintended_y  crosstalk_dB_y  \n",
       "0  0.012926  0.355096    0.355096      0.012926      -14.388930  \n",
       "1  0.005091  0.359512    0.359512      0.005091      -18.489409  \n",
       "2  0.005112  0.343636    0.343636      0.005112      -18.275019  \n",
       "3  0.007012  0.326873    0.326873      0.007012      -16.685366  \n",
       "4  0.008643  0.323660    0.323660      0.008643      -15.734438  \n",
       "5  0.006224  0.293639    0.293639      0.006224      -16.737599  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "MON_X = \"abs_mon_x\"\n",
    "MON_Y = \"abs_mon_y\"\n",
    "\n",
    "\n",
    "def absorbed_power(monitor_data, nanowire_z, axis, d):\n",
    "    \"\"\"\n",
    "    P_abs = ½σ ∫∫∫ |E|² dV over the NbTiN volume of one meander.\n",
    "\n",
    "    The monitor stores a box that lightly over-bounds the meander; we mask\n",
    "    along all three axes to integrate only over the actual wire strands.\n",
    "    \"\"\"\n",
    "    Ex = monitor_data.Ex.abs.isel(f=0).squeeze(drop=True)\n",
    "    Ey = monitor_data.Ey.abs.isel(f=0).squeeze(drop=True)\n",
    "    Ez = monitor_data.Ez.abs.isel(f=0).squeeze(drop=True)\n",
    "    E2 = Ex**2 + Ey**2 + Ez**2\n",
    "\n",
    "    xs = E2.coords[\"x\"].values\n",
    "    ys = E2.coords[\"y\"].values\n",
    "    zs = E2.coords[\"z\"].values\n",
    "\n",
    "    mask_z = (zs >= nanowire_z - NW_T/2) & (zs <= nanowire_z + NW_T/2)\n",
    "\n",
    "    if axis == \"x\":\n",
    "        nw_y0 = -(2*NW_N - 1)*NW_W/2 + NW_W/2\n",
    "        mask_x = (xs >= d - NW_L/2) & (xs <= d + NW_L/2)\n",
    "        mask_y = np.zeros_like(ys, dtype=bool)\n",
    "        for n in range(NW_N):\n",
    "            yc = nw_y0 + 2*NW_W*n\n",
    "            mask_y |= (ys >= yc - NW_W/2) & (ys <= yc + NW_W/2)\n",
    "    else:\n",
    "        nw_x0 = -d - (2*NW_N - 1)*NW_W/2 + NW_W/2\n",
    "        mask_y = (ys >= -NW_L/2) & (ys <= NW_L/2)\n",
    "        mask_x = np.zeros_like(xs, dtype=bool)\n",
    "        for n in range(NW_N):\n",
    "            xc = nw_x0 + 2*NW_W*n\n",
    "            mask_x |= (xs >= xc - NW_W/2) & (xs <= xc + NW_W/2)\n",
    "\n",
    "    mask = (xr.DataArray(mask_x.astype(float), coords=[(\"x\", xs)])\n",
    "            * xr.DataArray(mask_y.astype(float), coords=[(\"y\", ys)])\n",
    "            * xr.DataArray(mask_z.astype(float), coords=[(\"z\", zs)]))\n",
    "\n",
    "    integrand = E2 * mask\n",
    "    P = (0.5 * NBTIN_SIGMA * integrand\n",
    "         .integrate(coord=\"x\")\n",
    "         .integrate(coord=\"y\")\n",
    "         .integrate(coord=\"z\"))\n",
    "    return float(P.values)\n",
    "\n",
    "\n",
    "rows = []\n",
    "for d in D_LIST:\n",
    "    row = {\"d_um\": float(d)}\n",
    "    print(f\"===== d = {d:.2f} µm =====\")\n",
    "    for pol in (\"x\", \"y\"):\n",
    "        path = os.path.join(DATA_DIR, f\"pol_split_d{d:.2f}_{pol}.hdf5\")\n",
    "        if not os.path.exists(path):\n",
    "            print(f\"  [skip] {path}\")\n",
    "            for k in (\"Pabs_x\", \"Pabs_y\", \"intended\", \"unintended\", \"crosstalk_dB\"):\n",
    "                row[f\"{k}_{pol}\"] = np.nan\n",
    "            continue\n",
    "\n",
    "        sd   = td.SimulationData.from_file(path)\n",
    "        nw_z = sd.simulation.get_monitor_by_name(MON_X).center[2]\n",
    "\n",
    "        P_x = absorbed_power(sd[MON_X], nw_z, axis=\"x\", d=d)\n",
    "        P_y = absorbed_power(sd[MON_Y], nw_z, axis=\"y\", d=d)\n",
    "\n",
    "        intended   = P_x if pol == \"x\" else P_y\n",
    "        unintended = P_y if pol == \"x\" else P_x\n",
    "        ct_dB = (10 * np.log10(unintended / intended)\n",
    "                 if (intended > 0 and unintended > 0) else np.nan)\n",
    "\n",
    "        row[f\"Pabs_x_{pol}\"]      = P_x\n",
    "        row[f\"Pabs_y_{pol}\"]      = P_y\n",
    "        row[f\"intended_{pol}\"]    = intended\n",
    "        row[f\"unintended_{pol}\"]  = unintended\n",
    "        row[f\"crosstalk_dB_{pol}\"] = ct_dB\n",
    "\n",
    "        print(f\"  [{pol}-pol]   P_abs(x-mnd) = {P_x*100:6.3f} %\"\n",
    "              f\"   P_abs(y-mnd) = {P_y*100:6.3f} %\"\n",
    "              f\"   CT = {ct_dB:6.2f} dB\")\n",
    "    rows.append(row)\n",
    "\n",
    "df_pbs = pd.DataFrame(rows)\n",
    "csv_path = os.path.join(DATA_DIR, \"pbs_summary.csv\")\n",
    "df_pbs.to_csv(csv_path, index=False)\n",
    "print(f\"\\nSaved: {csv_path}\")\n",
    "df_pbs\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2e5aedceec7a",
   "metadata": {},
   "source": [
    "### 11.1 Plots — Intended/Unintended Absorption and Cross-Talk vs `d`\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "a2d277fbaf6c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 840x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# --- Plot 1: intended (left axis) + unintended (right axis, 0-5%) ---\n",
    "fig, ax_L = plt.subplots(figsize=(7.5, 5))\n",
    "l1, = ax_L.plot(df_pbs[\"d_um\"], df_pbs[\"intended_x\"]*100,\n",
    "                \"o-\", color=\"C0\", lw=2, ms=8,\n",
    "                label=r\"x-pol $\\to$ x-meander (intended)\")\n",
    "l2, = ax_L.plot(df_pbs[\"d_um\"], df_pbs[\"intended_y\"]*100,\n",
    "                \"^-\", color=\"C3\", lw=2, ms=8,\n",
    "                label=r\"y-pol $\\to$ y-meander (intended)\")\n",
    "ax_L.set_xlabel(\"Focal-spot half-separation d (µm)\")\n",
    "ax_L.set_ylabel(\"Intended-port absorption (% of input)\")\n",
    "ax_L.grid(alpha=0.3)\n",
    "\n",
    "ax_R = ax_L.twinx()\n",
    "l3, = ax_R.plot(df_pbs[\"d_um\"], df_pbs[\"unintended_x\"]*100,\n",
    "                \"s--\", color=\"C0\", lw=1.5, ms=7, alpha=0.7,\n",
    "                label=r\"x-pol $\\to$ y-meander (unintended)\")\n",
    "l4, = ax_R.plot(df_pbs[\"d_um\"], df_pbs[\"unintended_y\"]*100,\n",
    "                \"v--\", color=\"C3\", lw=1.5, ms=7, alpha=0.7,\n",
    "                label=r\"y-pol $\\to$ x-meander (unintended)\")\n",
    "ax_R.set_ylabel(\"Unintended-port absorption (% of input)\")\n",
    "ax_R.set_ylim(0, 5)\n",
    "\n",
    "ax_L.legend(handles=[l1, l2, l3, l4], loc=\"best\", frameon=False)\n",
    "plt.title(\"Intended- and unintended-port absorption vs separation\")\n",
    "plt.tight_layout()\n",
    "plt.savefig(os.path.join(FIG_DIR, \"pbs_absorption_vs_d.png\"))\n",
    "plt.show()\n",
    "\n",
    "\n",
    "# --- Plot 2: cross-talk (dB) ---\n",
    "fig, ax = plt.subplots(figsize=(7, 5))\n",
    "ax.plot(df_pbs[\"d_um\"], df_pbs[\"crosstalk_dB_x\"],\n",
    "        \"o-\", color=\"C0\", lw=2, ms=8, label=\"x-pol input\")\n",
    "ax.plot(df_pbs[\"d_um\"], df_pbs[\"crosstalk_dB_y\"],\n",
    "        \"^-\", color=\"C3\", lw=2, ms=8, label=\"y-pol input\")\n",
    "ax.set_xlabel(\"Focal-spot half-separation d (µm)\")\n",
    "ax.set_ylabel(r\"Cross-talk  $10\\log_{10}(P_\\mathrm{unint.}/P_\\mathrm{int.})$  (dB)\")\n",
    "ax.set_title(\"Polarization cross-talk vs nanowire separation\")\n",
    "ax.legend(loc=\"best\", frameon=False)\n",
    "ax.grid(alpha=0.3)\n",
    "plt.tight_layout()\n",
    "plt.savefig(os.path.join(FIG_DIR, \"pbs_crosstalk_vs_d.png\"))\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "46d77e1e8176",
   "metadata": {},
   "source": [
    "## 12. PBS Field-Distribution Heatmaps (`d = 5 µm`)\n",
    "\n",
    "For one representative separation we plot $|E|^2$ in two orthogonal cuts — the `xz` cross-section (top row) and the focal plane (bottom row) — under x- and y-polarized excitation. This visually confirms that each polarization is steered to the correct meander.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "9888d3aa906a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1560x1320 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "D_HM = 5.0\n",
    "XZ_MON    = \"field_xz\"\n",
    "FOCAL_MON = \"focal_field\"\n",
    "VMIN, VMAX = 0, 100\n",
    "AXIS_LIM   = (-30, 30)\n",
    "\n",
    "\n",
    "def E2_from(monitor):\n",
    "    Ex = monitor.Ex.abs.isel(f=0).squeeze(drop=True)\n",
    "    Ey = monitor.Ey.abs.isel(f=0).squeeze(drop=True)\n",
    "    Ez = monitor.Ez.abs.isel(f=0).squeeze(drop=True)\n",
    "    return Ex**2 + Ey**2 + Ez**2\n",
    "\n",
    "\n",
    "def _add_cbar(im, ax):\n",
    "    div  = make_axes_locatable(ax)\n",
    "    cax  = div.append_axes(\"right\", size=\"4%\", pad=0.08)\n",
    "    cbar = ax.figure.colorbar(im, cax=cax)\n",
    "    cbar.set_label(r\"$|E|^2$ (arb. units)\")\n",
    "    cbar.outline.set_linewidth(0.6)\n",
    "\n",
    "\n",
    "def plot_heatmap(ax, sd, mon_name, b_label, title):\n",
    "    E2 = E2_from(sd[mon_name])\n",
    "    coords = list(E2.coords)\n",
    "    a_name, b_name = coords[0], coords[1]\n",
    "    a = E2.coords[a_name].values\n",
    "    b = E2.coords[b_name].values\n",
    "    Z = E2.values\n",
    "\n",
    "    # Rotate 180° so the source side is at the bottom of the xz panels\n",
    "    Z_rot = Z[::-1, ::-1]\n",
    "    a_rot = -a[::-1]\n",
    "    b_rot = -b[::-1]\n",
    "\n",
    "    im = ax.pcolormesh(a_rot, b_rot, Z_rot.T,\n",
    "                       shading=\"auto\", cmap=\"magma\",\n",
    "                       vmin=VMIN, vmax=VMAX, rasterized=True)\n",
    "    ax.set_xlim(*AXIS_LIM); ax.set_ylim(*AXIS_LIM)\n",
    "    ax.set_aspect(\"equal\", adjustable=\"box\")\n",
    "    ax.set_xlabel(\"x (µm)\"); ax.set_ylabel(f\"{b_label} (µm)\")\n",
    "    ax.set_title(title, loc=\"left\", pad=8, fontweight=\"bold\")\n",
    "    _add_cbar(im, ax)\n",
    "\n",
    "\n",
    "def _load(pol):\n",
    "    path = os.path.join(DATA_DIR, f\"pol_split_d{D_HM:.2f}_{pol}.hdf5\")\n",
    "    if not os.path.exists(path):\n",
    "        print(f\"[skip] {path}\")\n",
    "        return None\n",
    "    return td.SimulationData.from_file(path)\n",
    "\n",
    "\n",
    "sd_x = _load(\"x\")\n",
    "sd_y = _load(\"y\")\n",
    "if sd_x is None or sd_y is None:\n",
    "    raise SystemExit(\"Missing simulation files for d = 5 µm heatmaps.\")\n",
    "\n",
    "fig, axes = plt.subplots(2, 2, figsize=(13, 11))\n",
    "plot_heatmap(axes[0, 0], sd_x, XZ_MON,    \"z\", \"a)  xz plane, x-pol\")\n",
    "plot_heatmap(axes[0, 1], sd_y, XZ_MON,    \"z\", \"b)  xz plane, y-pol\")\n",
    "plot_heatmap(axes[1, 0], sd_x, FOCAL_MON, \"y\", \"c)  focal plane, x-pol\")\n",
    "plot_heatmap(axes[1, 1], sd_y, FOCAL_MON, \"y\", \"d)  focal plane, y-pol\")\n",
    "plt.tight_layout()\n",
    "plt.savefig(os.path.join(FIG_DIR, \"pbs_4panel_heatmaps.png\"))\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e617e4070af",
   "metadata": {},
   "source": [
    "## 13. Conclusions\n",
    "\n",
    "Two complementary cryogenic dielectric metasurfaces are designed, simulated, and characterized in Tidy3D:\n",
    "\n",
    "- The **focusing metalens** (Sections 2–7) concentrates a 60 × 60 µm² collection aperture onto a 5 × 5 µm² nanowire footprint. The component efficiencies $\\tilde\\eta_c$ (coupling) and $\\tilde\\eta_a$ (absorption-given-arrival) trade off across NA, with the SDE **enhancement factor** $A_M/A_D \\cdot \\eta_\\mathrm{abs}$ peaking around the moderate-NA regime.\n",
    "- The **PBS metasurface** (Sections 8–12) uses anisotropic rectangular meta-atoms to focus orthogonal linear polarizations onto two separated meanders. Increasing the focal-spot half-separation `d` reduces polarization cross-talk monotonically.\n",
    "\n",
    "Both designs use the same Tidy3D building blocks — `GeometryGroup`, `MeshOverrideStructure` for sub-nm nanowire resolution, and a `PECBoundary` on the top z-face to model the back-reflector cavity. The post-processing routines extract absorbed power directly from the field monitors via the loss-tangent formula $P_\\mathrm{abs} = \\tfrac{1}{2}\\sigma\\int|E|^2 dV$.\n",
    "\n",
    "For experimental validation and fabrication details, see arXiv:2512.17115.\n"
   ]
  }
 ],
 "metadata": {
  "applications": [
   "Lenses"
  ],
  "description": "This notebook demonstrates how to simulate a metalens focusing light onto superconducting nanowires for single-photon detection using Tidy3D.",
  "feature_image": "./img/SuperconductingNanowire.png",
  "features": [
   "Custom medium"
  ],
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
  },
  "keywords": "metalens, superconducting nanowire, single-photon detection, Tidy3D, FDTD",
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.7"
  },
  "redirect_from": "/tidy3d/qSXRncRYj7",
  "title": "How to model a metasurface-integrated superconducting nanowire using Tidy3D | Flexcompute"
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
