{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "f1adff37",
   "metadata": {},
   "source": [
    "# High-Q quasibound states in the continuum resonance finder and field enhancement"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ba19deb4",
   "metadata": {},
   "source": [
    "**Author: Yankun (Alex) Meng, Duke University**\n",
    "\n",
    "Dielectric metasurfaces supporting quasi-bound states in the continuum (q-BICs) can produce ultrasharp resonances with high quality factors by introducing a symmetry-breaking coupler into the unit cell. In this notebook, we use Tidy3D's [ResonanceFinder](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.resonance.ResonanceFinder.html) plugin to locate q-BIC resonances in a GaP elliptical-pillar metasurface and then compute the near-field enhancement at the resonance frequency.\n",
    "\n",
    "We reproduce and extend results from G. Q. Moretti, A. Tittl, E. Cortés, S. A. Maier, A. V. Bragas, and G. Grinblat, \"Introducing a Symmetry-Breaking Coupler into a Dielectric Metasurface Enables Robust High-Q Quasi-BICs,\" Advanced Photonics Research, vol. 3, no. 12, p. 2200111, 2022, [doi: 10.1002/adpr.202200111](https://arxiv.org/abs/2204.07097). Specifically, we obtain the field enhancement profile for the middle configuration in Figure S2 of the supplemental.\n",
    "\n",
    "<img src=\"img/QBIC.png\" alt=\"diagram\" width=\"700\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "baf580f8",
   "metadata": {},
   "source": [
    "## Imports and Utilities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "0abb8fc4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from pathlib import Path\n",
    "from tidy3d import web\n",
    "import pandas as pd\n",
    "import tidy3d as td\n",
    "import numpy as np\n",
    "import time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e9c884b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "class SimRunner:\n",
    "    \"\"\"\n",
    "    Handles running, monitoring, and loading results of multiple Tidy3D simulations.\n",
    "    \"\"\"\n",
    "    def __init__(self, sims):\n",
    "        \"\"\"\n",
    "        Initialize with a dictionary of simulations.\n",
    "        sims: dict where keys are simulation names and values are td.Simulation objects\n",
    "        \"\"\"\n",
    "        self.sims = sims or {}\n",
    "        print(f\"Received Simulations: {self.sims.keys()}\")\n",
    "        self.results = None\n",
    "\n",
    "    def add_simulation(self, name, sim):\n",
    "        \"\"\"Add a single simulation to the runner.\"\"\"\n",
    "        self.sims[name] = sim\n",
    "\n",
    "    def run(self, name):\n",
    "        if self.results is not None:\n",
    "            return self.results\n",
    "        start = time.perf_counter()\n",
    "        path = Path(name)\n",
    "        results = None\n",
    "        \n",
    "        if not path.exists():\n",
    "            if self.sims is None:\n",
    "                print(\"No simulations provided.\")\n",
    "                elapsed = time.perf_counter() - start\n",
    "                print(f\"run() took {elapsed:.2f} seconds\")\n",
    "                return None\n",
    "            batch = web.Batch(simulations=self.sims, verbose=True)\n",
    "            batch.upload()\n",
    "            batch.estimate_cost()\n",
    "            user_input = input(\"Press Enter to continue...Type Any Character to STOP RUNNING.\")\n",
    "            if user_input == \"\":\n",
    "                def run(batch, name):\n",
    "                    batch.start()\n",
    "                    batch.monitor()\n",
    "                    return batch.load(name)\n",
    "                results = run(batch, name)\n",
    "            else:\n",
    "                print(\"Terminated Run.\")\n",
    "                elapsed = time.perf_counter() - start\n",
    "                print(f\"run() took {elapsed:.2f} seconds\")\n",
    "                print(f\"Real Cost: {batch.real_cost()}\")        \n",
    "                return None\n",
    "        else:\n",
    "            print(f\"Loading existing results: {name}\")\n",
    "            batch = web.Batch.from_file(f\"{name}/batch.hdf5\")\n",
    "            results = batch.load(path_dir=name, replace_existing=True)     \n",
    "\n",
    "        elapsed = time.perf_counter() - start                    \n",
    "        print(f\"run() took {elapsed:.2f} seconds\")\n",
    "        print(f\"Real Cost: {batch.real_cost()}\") \n",
    "        self.results = results       \n",
    "        return results"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d34cbd2b",
   "metadata": {},
   "source": [
    "## 1. Set the Geometry"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "53190e0b",
   "metadata": {},
   "source": [
    "### Simulation Parameters\n",
    "\n",
    "Define the wavelength range and derive the frequency parameters used throughout the notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8dae2287",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Unit conversion\n",
    "nm = 1e-3\n",
    "\n",
    "# Simulation parameters\n",
    "lam1 = 970*nm        # Beginning Wavelength\n",
    "lam2 = 980*nm        # Ending Wavelength\n",
    "n = 1001             # Number of Points to Sample\n",
    "\n",
    "# Derived Quantities\n",
    "freqs = np.linspace(td.C_0 / lam2, td.C_0 / lam1, n) # Sampled Frequency Points\n",
    "freq0 = freqs[len(freqs)//2]                         # Central Frequency\n",
    "freqw = np.max(freqs) - np.min(freqs)                # Frequency bandwidth"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ea2fb8b",
   "metadata": {},
   "source": [
    "### Geometries\n",
    "\n",
    "Define the unit cell dimensions, meta-atom parameters, and material properties. The metasurface consists of two GaP elliptical pillars and a cylindrical symmetry-breaking coupler on a glass substrate."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "85515ef5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Unit Cell Definition\n",
    "Px = Py = 600 * nm                     # Periodicity\n",
    "height = 200 * nm                      # Height of the metaatoms\n",
    "thick_air = 1                          # Spacing Above metaatom to the top PML\n",
    "thick_sub = 1 + height                 # Thickness of the substrate\n",
    "Lz = thick_sub + height + thick_air    # Distance from bottom PML to Top PML\n",
    "sim_size = (Px, Py, Lz)                # Simulation Size Definition\n",
    "\n",
    "# -----------------------------------------------------\n",
    "# PML  |    thick_sub | height | thick_air      |  PML\n",
    "# -----------------------------------------------------\n",
    "\n",
    "# Metaatom Dimensions\n",
    "d = 300 * nm                # Distance between main pillars\n",
    "a = 380 * nm                # Major axis Diameter\n",
    "b = 170 * nm                # Minor axis Diameter\n",
    "w = 300 * nm                # Y-Distance from center of main pillars to bottom symmetry point\n",
    "coupler_diameter = 80*nm    # coupler's diameter\n",
    "delta_y = 200*nm            # coupler's distance from bottom symmetry point\n",
    "y_offset = 100*nm           # the Y-displacement of all metaatoms in the unit cell\n",
    "left_x = -d/2\n",
    "right_x = d/2\n",
    "\n",
    "\n",
    "# Mediums\n",
    "Glass = td.Medium(permittivity=2.25)\n",
    "gap =  td.Sellmeier.from_dispersion(n=3.1908, dn_dwvl=-0.21978, freq=freq0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0bdf8f82",
   "metadata": {},
   "source": [
    "### Structures\n",
    "\n",
    "Create the Tidy3D structures for the elliptical pillars, the symmetry-breaking coupler, and the glass substrate."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a747d293",
   "metadata": {},
   "outputs": [],
   "source": [
    "left = td.Structure(\n",
    "    geometry=td.Cylinder(\n",
    "        center=(left_x, 0, height/2),\n",
    "        radius=b / 2,\n",
    "        length=height,\n",
    "        axis=2\n",
    "    ).scaled(x=1, y=a/b, z=1)\n",
    "    .rotated(angle=-0*(np.pi/180), axis=2)\n",
    "    .translated(x=0, y=y_offset, z=0),\n",
    "    medium=gap\n",
    ")\n",
    "\n",
    "right = td.Structure(\n",
    "    geometry=td.Cylinder(\n",
    "        center=(right_x, 0, height/2),\n",
    "        radius=b / 2,\n",
    "        length=height,\n",
    "        axis=2\n",
    "    ).scaled(x=1, y=a/b, z=1)\n",
    "    .rotated(angle=0*(np.pi/180), axis=2)\n",
    "    .translated(x=0, y=y_offset, z=0),\n",
    "    medium=gap\n",
    ")\n",
    "\n",
    "coupler = td.Structure(\n",
    "    geometry=td.Cylinder(\n",
    "        center=(0, -w + delta_y + y_offset, height/2),\n",
    "        radius=coupler_diameter / 2,\n",
    "        length=height,\n",
    "        axis=2\n",
    "    ),\n",
    "    medium=gap\n",
    ")\n",
    "\n",
    "# substrate\n",
    "substrate = td.Structure(\n",
    "    geometry=td.Box(\n",
    "        center=(0,0,-Lz / 2),\n",
    "        size=(td.inf,td.inf,Lz)\n",
    "    ),\n",
    "    medium=Glass,\n",
    "    name='substrate'\n",
    ")\n",
    "structures = [left, right, coupler, substrate]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "46cc0eab",
   "metadata": {},
   "source": [
    "## 2. Resonance Finder\n",
    "\n",
    "We use the [ResonanceFinder](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.resonance.ResonanceFinder.html) plugin to extract resonance frequencies and Q factors from time-domain field signals via harmonic inversion. Randomly placed point dipole sources excite all supported modes of the structure."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5f1c39a",
   "metadata": {},
   "source": [
    "### 1. Place Sources\n",
    "\n",
    "Place randomly positioned Ex-polarized point dipoles inside each meta-atom to broadly excite the resonant modes of the structure."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "1d99bd0d",
   "metadata": {},
   "outputs": [],
   "source": [
    "rng = np.random.default_rng(11)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a40b4a12",
   "metadata": {},
   "outputs": [],
   "source": [
    "def generate_random_points(center_x, center_y, N, a = a/2, b = b/2, height = height):\n",
    "    # Random polar coordinates\n",
    "    theta = rng.uniform(0, 2*np.pi, N)\n",
    "    r = np.sqrt(rng.uniform(0, 1, N))  # uniform area\n",
    "\n",
    "    # Map to ellipse\n",
    "    x_points = r * b * np.cos(theta) + center_x\n",
    "    y_points = r * a * np.sin(theta) + center_y\n",
    "    z_points = rng.uniform(0, height, N)\n",
    "    return list(zip(x_points, y_points, z_points))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "22d66acb",
   "metadata": {},
   "outputs": [],
   "source": [
    "# ----- Generate points for each structure -----\n",
    "left_points = generate_random_points(center_x=left_x, center_y=y_offset, N=20)\n",
    "right_points = generate_random_points(center_x=right_x, center_y=y_offset, N=20)\n",
    "center_points = generate_random_points(center_x=0, center_y=-w + delta_y + y_offset, N=5, \n",
    "                                       a=coupler_diameter/2, b=coupler_diameter/2)\n",
    "\n",
    "# Flatten all points for Tidy3D\n",
    "dip_positions = left_points + right_points + center_points\n",
    "num_dipoles = len(dip_positions)\n",
    "\n",
    "# Random phases for dipoles\n",
    "dip_phases = rng.uniform(0, 2*np.pi, num_dipoles)\n",
    "\n",
    "# ----- Create dipoles -----\n",
    "dipoles = []\n",
    "for i in range(num_dipoles):\n",
    "    pulse = td.GaussianPulse(freq0=freq0, fwidth=freqw, phase=dip_phases[i])\n",
    "    dipoles.append(\n",
    "        td.PointDipole(\n",
    "            source_time=pulse,\n",
    "            center=dip_positions[i],\n",
    "            polarization=\"Ex\",\n",
    "            name=f\"dip_source_{i}\",\n",
    "        )\n",
    "    )\n",
    "sources = dipoles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "ed0988df",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(7,5), tight_layout=True)\n",
    "\n",
    "# Structure parameters for plotting\n",
    "structures_plotting = [\n",
    "    (left_points, left_x, y_offset, a/2, b/2, 'red'),\n",
    "    (right_points, right_x, y_offset, a/2, b/2, 'green'),\n",
    "    (center_points, 0, -w + delta_y + y_offset, coupler_diameter/2, coupler_diameter/2, 'orange')\n",
    "]\n",
    "\n",
    "theta_outline = np.linspace(0, 2*np.pi, 500)\n",
    "\n",
    "# ----- Top view (x-y) -----\n",
    "for pts, cx, cy, aa, bb, color in structures_plotting:\n",
    "    xs, ys, zs = zip(*pts)\n",
    "    ax1.scatter(xs, ys, color=color, s=15, alpha=0.6)\n",
    "    # Ellipse outline\n",
    "    x_ellipse = bb * np.cos(theta_outline) + cx\n",
    "    y_ellipse = aa * np.sin(theta_outline) + cy\n",
    "    ax1.plot(x_ellipse, y_ellipse, color=color, linewidth=2, alpha=0.7)\n",
    "ax1.set_xlim(-Px/2, Px/2)\n",
    "ax1.set_ylim(-Py/2, Py/2)\n",
    "ax1.set_aspect('equal')\n",
    "ax1.set_title(\"Top View (x-y)\")\n",
    "ax1.set_xlabel(\"x (um)\")\n",
    "ax1.set_ylabel(\"y (um)\")\n",
    "ax1.grid(True)\n",
    "\n",
    "# ----- Side view (y-z) -----\n",
    "for pts, cx, cy, aa, bb, color in structures_plotting:\n",
    "    xs, ys, zs = zip(*pts)\n",
    "    ax2.scatter(ys, zs, color=color, s=15, alpha=0.6)\n",
    "    # Side rectangle\n",
    "    ax2.plot([cy - aa, cy + aa, cy + aa, cy - aa, cy - aa],\n",
    "                [0, 0, height, height, 0],\n",
    "                color=color, linewidth=2, alpha=0.7)\n",
    "ax2.set_xlim(-Py/2, Py/2)\n",
    "ax2.set_ylim(-Lz/2, Lz/2)\n",
    "ax2.set_aspect('auto')\n",
    "ax2.set_title(\"Side View (y-z)\")\n",
    "ax2.set_xlabel(\"y (um)\")\n",
    "ax2.set_ylabel(\"z (um)\")\n",
    "ax2.grid(True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4d5d7992",
   "metadata": {},
   "source": [
    "### 2. Place Monitors\n",
    "\n",
    "Set up `FieldTimeMonitor` objects to record the time-domain signals needed by the `ResonanceFinder`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "839950db",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6.341720577907208e-12\n",
      "6.341720577907208e-13\n"
     ]
    }
   ],
   "source": [
    "run_time = 20/freqw # this is a hyperparameter\n",
    "t_start = 2/freqw # time monitor starts measuring\n",
    "print(run_time)\n",
    "print(t_start)\n",
    "\n",
    "# Set z at halfway of the metaatoms\n",
    "z=height/2\n",
    "\n",
    "# Initialization\n",
    "mon_positions = [\n",
    "    (left_x, y_offset - a/3, z),\n",
    "    (left_x, y_offset + a/3, z),\n",
    "    (left_x, y_offset, z),\n",
    "    (right_x,y_offset - a/3, z),\n",
    "    (right_x,y_offset + a/3, z),\n",
    "    (right_x,y_offset, z),\n",
    "    (0, -w + delta_y + y_offset, z), # coupler center\n",
    "    (left_x, y_offset - a/2 - 0.01, z),\n",
    "    (right_x, y_offset - a/2 - 0.01, z),\n",
    "]\n",
    "\n",
    "\n",
    "# Loop Assignment\n",
    "monitors_time = []\n",
    "for i in range(len(mon_positions)):\n",
    "    monitors_time.append(\n",
    "        td.FieldTimeMonitor(\n",
    "            fields=[\"Ex\"],\n",
    "            center=tuple(mon_positions[i]),\n",
    "            size=(0, 0, 0),\n",
    "            start=t_start,\n",
    "            name=\"monitor_time_\" + str(i),\n",
    "        )\n",
    "    )\n",
    "\n",
    "# This Monitors the z-cut xy plane of all the metaatoms\n",
    "fieldZ = td.FieldMonitor(\n",
    "    center=[0, 0, height /2],\n",
    "    size=[td.inf, td.inf, 0],\n",
    "    freqs=[freq0],\n",
    "    name=\"z\"\n",
    ")\n",
    "\n",
    "# This monitors the x-cut yz plane of the right metaatom\n",
    "fieldY = td.FieldMonitor(\n",
    "    center=[d/2, 0, 0],\n",
    "    size=[0, td.inf, 0.8],\n",
    "    freqs=[freq0],\n",
    "    name=\"y\"\n",
    ")\n",
    "\n",
    "monitors = [fieldZ, fieldY]\n",
    "monitors.extend(monitors_time)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "53697df0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(tight_layout=True, figsize=(6, 5))\n",
    "\n",
    "plot_time = run_time\n",
    "sources[0].source_time.plot(times=np.linspace(0, plot_time, 1001), val=\"abs\", ax=ax)\n",
    "\n",
    "ax.set_xlim(0, plot_time)\n",
    "ax.vlines(t_start, 0, 1, linewidth=5, color=\"r\", alpha=0.7)\n",
    "ax.legend([\"source\", \"start time\"])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f694ec1a",
   "metadata": {},
   "source": [
    "### 3. The Mesh\n",
    "\n",
    "Use the automatic nonuniform meshing with 32 steps per wavelength to accurately resolve the high-Q resonance."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "67f05d54",
   "metadata": {},
   "outputs": [],
   "source": [
    "grid_spec = td.GridSpec.auto(min_steps_per_wvl=32)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "66b715c2",
   "metadata": {},
   "source": [
    "### 4. Simulation\n",
    "\n",
    "Assemble the simulation with periodic boundaries in the x and y directions and PML in the z direction."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "386247cb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <div class=\"simulation-viewer\" data-width=\"800\" data-height=\"800\" data-simulation=\"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\" ></div>\n",
       "    <script>\n",
       "        \n",
       "        /**\n",
       "        * Simulation Viewer Injector\n",
       "        *\n",
       "        * Monitors the document for elements being added in the form:\n",
       "        *\n",
       "        *    <div class=\"simulation-viewer\" data-width=\"800\" data-height=\"800\" data-simulation=\"{...}\" />\n",
       "        *\n",
       "        * This script will then inject an iframe to the viewer application, and pass it the simulation data\n",
       "        * via the postMessage API on request. The script may be safely included multiple times, with only the\n",
       "        * configuration of the first started script (e.g. viewer URL) applying.\n",
       "        *\n",
       "        */\n",
       "        (function() {\n",
       "            const TARGET_CLASS = \"simulation-viewer\";\n",
       "            const ACTIVE_CLASS = \"simulation-viewer-active\";\n",
       "            const VIEWER_URL = \"https://tidy3d.simulation.cloud/simulation-viewer\";\n",
       "\n",
       "            class SimulationViewerInjector {\n",
       "                constructor() {\n",
       "                    for (var node of document.getElementsByClassName(TARGET_CLASS)) {\n",
       "                        this.injectViewer(node);\n",
       "                    }\n",
       "\n",
       "                    // Monitor for newly added nodes to the DOM\n",
       "                    this.observer = new MutationObserver(this.onMutations.bind(this));\n",
       "                    this.observer.observe(document.body, {childList: true, subtree: true});\n",
       "                }\n",
       "\n",
       "                onMutations(mutations) {\n",
       "                    for (var mutation of mutations) {\n",
       "                        if (mutation.type === 'childList') {\n",
       "                            /**\n",
       "                            * Have found that adding the element does not reliably trigger the mutation observer.\n",
       "                            * It may be the case that setting content with innerHTML does not trigger.\n",
       "                            *\n",
       "                            * It seems to be sufficient to re-scan the document for un-activated viewers\n",
       "                            * whenever an event occurs, as Jupyter triggers multiple events on cell evaluation.\n",
       "                            */\n",
       "                            var viewers = document.getElementsByClassName(TARGET_CLASS);\n",
       "                            for (var node of viewers) {\n",
       "                                this.injectViewer(node);\n",
       "                            }\n",
       "                        }\n",
       "                    }\n",
       "                }\n",
       "\n",
       "                injectViewer(node) {\n",
       "                    // (re-)check that this is a valid simulation container and has not already been injected\n",
       "                    if (node.classList.contains(TARGET_CLASS) && !node.classList.contains(ACTIVE_CLASS)) {\n",
       "                        // Mark node as injected, to prevent re-runs\n",
       "                        node.classList.add(ACTIVE_CLASS);\n",
       "\n",
       "                        var uuid;\n",
       "                        if (window.crypto && window.crypto.randomUUID) {\n",
       "                            uuid = window.crypto.randomUUID();\n",
       "                        } else {\n",
       "                            uuid = \"\" + Math.random();\n",
       "                        }\n",
       "\n",
       "                        var frame = document.createElement(\"iframe\");\n",
       "                        frame.width = node.dataset.width || 800;\n",
       "                        frame.height = node.dataset.height || 800;\n",
       "                        frame.style.cssText = `width:${frame.width}px;height:${frame.height}px;max-width:none;border:0;display:block`\n",
       "                        frame.src = VIEWER_URL + \"?uuid=\" + uuid;\n",
       "\n",
       "                        var postMessageToViewer;\n",
       "                        postMessageToViewer = event => {\n",
       "                            if(event.data.type === 'viewer' && event.data.uuid===uuid){\n",
       "                                frame.contentWindow.postMessage({ type: 'jupyter', uuid, value: node.dataset.simulation, fileType: 'hdf5'}, '*');\n",
       "\n",
       "                                // Run once only\n",
       "                                window.removeEventListener('message', postMessageToViewer);\n",
       "                            }\n",
       "                        };\n",
       "                        window.addEventListener(\n",
       "                            'message',\n",
       "                            postMessageToViewer,\n",
       "                            false\n",
       "                        );\n",
       "\n",
       "                        node.appendChild(frame);\n",
       "                    }\n",
       "                }\n",
       "            }\n",
       "\n",
       "            if (!window.simulationViewerInjector) {\n",
       "                window.simulationViewerInjector = new SimulationViewerInjector();\n",
       "            }\n",
       "        })();\n",
       "    \n",
       "    </script>\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim = td.Simulation(\n",
    "    size=sim_size,\n",
    "    grid_spec=grid_spec,\n",
    "    structures=structures,\n",
    "    sources=sources,\n",
    "    monitors=monitors,\n",
    "    boundary_spec=td.BoundarySpec(\n",
    "        x=td.Boundary.periodic(), y=td.Boundary.periodic(), z=td.Boundary.pml()\n",
    "    ),\n",
    "    run_time=run_time,\n",
    ")\n",
    "sim.plot_3d()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c094b0f6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Received Simulations: dict_keys(['sim'])\n",
      "Loading existing results: rf\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3b5ca72d72804095a6b4ed84f313714a",
       "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"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "run() took 7.75 seconds\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\">11:16:55 EDT </span>Total billed flex credit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.084</span>.                              \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:16:55 EDT\u001b[0m\u001b[2;36m \u001b[0mTotal billed flex credit cost: \u001b[1;36m0.084\u001b[0m.                              \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Real Cost: 0.08418566594261809\n"
     ]
    }
   ],
   "source": [
    "sims = {\"sim\": sim}\n",
    "runner = SimRunner(sims)\n",
    "res = runner.run(\"rf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "94e9c6fd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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\">0.00943</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;36m0.00943\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"
    }
   ],
   "source": [
    "sim_data = res[\"sim\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "8a97db5e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax1 = plt.subplots(1, 1, tight_layout=True, figsize=(8, 4))\n",
    "\n",
    "ax1.plot(\n",
    "    sim_data.monitor_data[\"monitor_time_0\"].Ex.t * 1e12,\n",
    "    np.real(sim_data.monitor_data[\"monitor_time_0\"].Ex.squeeze()),\n",
    ")\n",
    "ax1.set_title(\"FieldTimeMonitor data\")\n",
    "ax1.set_xlabel(\"time (ps)\")\n",
    "ax1.set_ylabel(\"Real{Ex}\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "6492f60e",
   "metadata": {},
   "outputs": [],
   "source": [
    "from tidy3d.plugins.resonance import ResonanceFinder\n",
    "\n",
    "resonance_finder = ResonanceFinder(\n",
    "    freq_window=(freqs[0], freqs[-1])\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "b692b360",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Exclude the frequency domain field monitors\n",
    "field_time_signals = [\n",
    "    data for data in sim_data.data\n",
    "    if hasattr(data, \"monitor\") and data.monitor.type == \"FieldTimeMonitor\"\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "4bf8a5e2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# while running this line of code, your computer will slow down because it utilizes your cpu resources\n",
    "resonance_data = resonance_finder.run(signals=field_time_signals)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "e306e2be",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = resonance_data.to_dataframe()\n",
    "df.to_csv(\"output.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "40866337",
   "metadata": {},
   "source": [
    "## 3. Field Enhancement\n",
    "\n",
    "Using the resonance frequency and Q factor from Part 2, we now set up a broadband plane-wave simulation to compute the transmittance and near-field enhancement of the metasurface at the q-BIC resonance."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b64e33ee",
   "metadata": {},
   "source": [
    "### 1. Simulation Parameters"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "37e429f5",
   "metadata": {},
   "source": [
    "We have to use simulation parameters derived from the resonance finder."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "07ef3680",
   "metadata": {},
   "outputs": [],
   "source": [
    "resonance_data = pd.read_csv(\"output.csv\")\n",
    "\n",
    "# Unit conversion\n",
    "nm = 1e-3\n",
    "\n",
    "# resonance data\n",
    "fr = resonance_data.freq\n",
    "Q = resonance_data.Q\n",
    "\n",
    "# linewidth\n",
    "df = fr / Q\n",
    "\n",
    "# choose pulse bandwidth multiplier\n",
    "mult = 10\n",
    "\n",
    "# final frequency width\n",
    "fwidth = mult * df\n",
    "\n",
    "# frequency bounds\n",
    "fmin = fr - fwidth/2\n",
    "fmax = fr + fwidth/2\n",
    "\n",
    "# convert to wavelength bounds\n",
    "lam1 = (td.C_0 / fmax).values[0]\n",
    "lam2 = (td.C_0 / fmin).values[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "b5bc9356",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Unit conversion\n",
    "nm = 1e-3\n",
    "\n",
    "# Simulation parameters\n",
    "n = 701             # Number of Points to Sample\n",
    "\n",
    "# Derived Quantities\n",
    "freqs = np.linspace(td.C_0 / lam2, td.C_0 / lam1, n) # Sampled Frequency Points\n",
    "freq0 = freqs[len(freqs)//2]                         # Central Frequency\n",
    "lda0 = td.constants.C_0 / freq0                      # Central Wavelength\n",
    "freqw = np.max(freqs) - np.min(freqs)                # Frequency bandwidth\n",
    "monitor_wvls = td.C_0 / freqs                        # Wavelengths to Monitor (used for plotting convenience)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "e2dfc5fa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "======================================================================\n",
      "                     BASIC SIMULATION SETUP                      \n",
      "======================================================================\n",
      "[monitor_wvls] Wavelength array         : 974.74 nm to 977.96 nm\n",
      "[freqs] Frequency array                 : 3.0655e+14 Hz to 3.0756e+14 Hz\n",
      "[n] Number of points                    : 701\n",
      "[freq0] Central Frequency               : 3.070563e+14 Hz\n",
      "[freqw] Bandwidth                       : 1.012808e+12 Hz\n",
      "[lda0]  Central λ                       : 976.34 nm\n",
      "[run_time] Simulation run time          : 6.341721e-12 sec\n",
      "======================================================================\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(\"=\"*70)\n",
    "print(f\"{'BASIC SIMULATION SETUP':^65}\")\n",
    "print(\"=\"*70)\n",
    "print(f\"{'[monitor_wvls] Wavelength array':<40}: {np.min(monitor_wvls*1000):.2f} nm to {np.max(monitor_wvls*1000):.2f} nm\")\n",
    "print(f\"{'[freqs] Frequency array':<40}: {np.min(freqs):.4e} Hz to {np.max(freqs):.4e} Hz\")\n",
    "print(f\"{'[n] Number of points':<40}: {n}\")\n",
    "print(f\"{'[freq0] Central Frequency':<40}: {freq0:.6e} Hz\")\n",
    "print(f\"{'[freqw] Bandwidth':<40}: {freqw:.6e} Hz\")\n",
    "print(f\"{'[lda0]  Central λ':<40}: {lda0*1000:.2f} nm\")\n",
    "print(f\"{'[run_time] Simulation run time':<40}: {run_time:.6e} sec\")\n",
    "print(\"=\"*70 + \"\\n\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c77bce51",
   "metadata": {},
   "source": [
    "### 2. Sources and Monitors\n",
    "\n",
    "Define a single x-polarized plane wave source and frequency-domain monitors for the transmittance and field profiles."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "4b89b5af",
   "metadata": {},
   "outputs": [],
   "source": [
    "# This is the plane wave source\n",
    "source = td.PlaneWave(\n",
    "    source_time=td.GaussianPulse(\n",
    "        freq0=freq0,\n",
    "        fwidth=freqw \n",
    "    ),\n",
    "    size=(td.inf, td.inf, 0),\n",
    "    center=(0, 0, height + thick_air / 2),\n",
    "    direction=\"-\",\n",
    "    pol_angle=0\n",
    ")\n",
    "\n",
    "# this monitors the transmittance\n",
    "t_monitor = td.FluxMonitor(\n",
    "    center=(0, 0, - Lz / 4),\n",
    "    size=(td.inf, td.inf, 0),\n",
    "    freqs=freqs,\n",
    "    name=\"t\",\n",
    "    normal_dir=\"-\"\n",
    ")\n",
    "\n",
    "# This Monitors the z-cut xy plane of all the metaatoms\n",
    "fieldZ = td.FieldMonitor(\n",
    "    center=[0, 0, height /2],\n",
    "    size=[td.inf, td.inf, 0],\n",
    "    freqs=freqs,\n",
    "    name=\"z\"\n",
    ")\n",
    "\n",
    "# This monitors the x-cut yz plane of the right metaatom\n",
    "fieldY = td.FieldMonitor(\n",
    "    center=[d/2, 0, 0],\n",
    "    size=[0, td.inf, 0.8],\n",
    "    freqs=freqs,\n",
    "    name=\"y\"\n",
    ")\n",
    "\n",
    "sources = [source]\n",
    "monitors = [t_monitor, fieldZ, fieldY]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7568c13a",
   "metadata": {},
   "source": [
    "### 3. The Run Time\n",
    "\n",
    "Compute the simulation run time from the resonance Q factor to ensure sufficient field decay."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "4064fba5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Decay time tau: 3.14 ps\n",
      "Recommended simulation run time: 15.71 ps\n"
     ]
    }
   ],
   "source": [
    "# decay time\n",
    "tau = (Q / (np.pi * fr)).values[0]\n",
    "\n",
    "# recommended simulation runtime\n",
    "run_time = 5 * tau\n",
    "\n",
    "print(f\"Decay time tau: {tau*1e12:.2f} ps\")\n",
    "print(f\"Recommended simulation run time: {run_time *1e12:.2f} ps\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a81b389",
   "metadata": {},
   "source": [
    "### 4. The Simulation\n",
    "\n",
    "Assemble the field enhancement simulation and a reference simulation without structures for normalization."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "c61c15c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "sim = td.Simulation(\n",
    "    size=sim_size,\n",
    "    grid_spec=grid_spec,\n",
    "    structures=structures,\n",
    "    sources=sources,\n",
    "    monitors=monitors,\n",
    "    boundary_spec=td.BoundarySpec(\n",
    "        x=td.Boundary.periodic(), y=td.Boundary.periodic(), z=td.Boundary.pml()\n",
    "    ),\n",
    "    run_time=run_time,\n",
    ")\n",
    "\n",
    "sim_ref = sim.copy(update={\"structures\": []})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "087aa2a0",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <div class=\"simulation-viewer\" data-width=\"800\" data-height=\"800\" 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\" ></div>\n",
       "    <script>\n",
       "        \n",
       "        /**\n",
       "        * Simulation Viewer Injector\n",
       "        *\n",
       "        * Monitors the document for elements being added in the form:\n",
       "        *\n",
       "        *    <div class=\"simulation-viewer\" data-width=\"800\" data-height=\"800\" data-simulation=\"{...}\" />\n",
       "        *\n",
       "        * This script will then inject an iframe to the viewer application, and pass it the simulation data\n",
       "        * via the postMessage API on request. The script may be safely included multiple times, with only the\n",
       "        * configuration of the first started script (e.g. viewer URL) applying.\n",
       "        *\n",
       "        */\n",
       "        (function() {\n",
       "            const TARGET_CLASS = \"simulation-viewer\";\n",
       "            const ACTIVE_CLASS = \"simulation-viewer-active\";\n",
       "            const VIEWER_URL = \"https://tidy3d.simulation.cloud/simulation-viewer\";\n",
       "\n",
       "            class SimulationViewerInjector {\n",
       "                constructor() {\n",
       "                    for (var node of document.getElementsByClassName(TARGET_CLASS)) {\n",
       "                        this.injectViewer(node);\n",
       "                    }\n",
       "\n",
       "                    // Monitor for newly added nodes to the DOM\n",
       "                    this.observer = new MutationObserver(this.onMutations.bind(this));\n",
       "                    this.observer.observe(document.body, {childList: true, subtree: true});\n",
       "                }\n",
       "\n",
       "                onMutations(mutations) {\n",
       "                    for (var mutation of mutations) {\n",
       "                        if (mutation.type === 'childList') {\n",
       "                            /**\n",
       "                            * Have found that adding the element does not reliably trigger the mutation observer.\n",
       "                            * It may be the case that setting content with innerHTML does not trigger.\n",
       "                            *\n",
       "                            * It seems to be sufficient to re-scan the document for un-activated viewers\n",
       "                            * whenever an event occurs, as Jupyter triggers multiple events on cell evaluation.\n",
       "                            */\n",
       "                            var viewers = document.getElementsByClassName(TARGET_CLASS);\n",
       "                            for (var node of viewers) {\n",
       "                                this.injectViewer(node);\n",
       "                            }\n",
       "                        }\n",
       "                    }\n",
       "                }\n",
       "\n",
       "                injectViewer(node) {\n",
       "                    // (re-)check that this is a valid simulation container and has not already been injected\n",
       "                    if (node.classList.contains(TARGET_CLASS) && !node.classList.contains(ACTIVE_CLASS)) {\n",
       "                        // Mark node as injected, to prevent re-runs\n",
       "                        node.classList.add(ACTIVE_CLASS);\n",
       "\n",
       "                        var uuid;\n",
       "                        if (window.crypto && window.crypto.randomUUID) {\n",
       "                            uuid = window.crypto.randomUUID();\n",
       "                        } else {\n",
       "                            uuid = \"\" + Math.random();\n",
       "                        }\n",
       "\n",
       "                        var frame = document.createElement(\"iframe\");\n",
       "                        frame.width = node.dataset.width || 800;\n",
       "                        frame.height = node.dataset.height || 800;\n",
       "                        frame.style.cssText = `width:${frame.width}px;height:${frame.height}px;max-width:none;border:0;display:block`\n",
       "                        frame.src = VIEWER_URL + \"?uuid=\" + uuid;\n",
       "\n",
       "                        var postMessageToViewer;\n",
       "                        postMessageToViewer = event => {\n",
       "                            if(event.data.type === 'viewer' && event.data.uuid===uuid){\n",
       "                                frame.contentWindow.postMessage({ type: 'jupyter', uuid, value: node.dataset.simulation, fileType: 'hdf5'}, '*');\n",
       "\n",
       "                                // Run once only\n",
       "                                window.removeEventListener('message', postMessageToViewer);\n",
       "                            }\n",
       "                        };\n",
       "                        window.addEventListener(\n",
       "                            'message',\n",
       "                            postMessageToViewer,\n",
       "                            false\n",
       "                        );\n",
       "\n",
       "                        node.appendChild(frame);\n",
       "                    }\n",
       "                }\n",
       "            }\n",
       "\n",
       "            if (!window.simulationViewerInjector) {\n",
       "                window.simulationViewerInjector = new SimulationViewerInjector();\n",
       "            }\n",
       "        })();\n",
       "    \n",
       "    </script>\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim.plot_3d()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "e72db659",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "minimal grid size in x is 0.008333333333333304.\n",
      "minimal grid size in y is 0.004999999999999671.\n",
      "minimal grid size in z is 0.00952380952380949.\n",
      "minimal grid 0.004999999999999671\n"
     ]
    }
   ],
   "source": [
    "min_grid_x = np.min(np.diff(sim.grid.boundaries.x))\n",
    "min_grid_y = np.min(np.diff(sim.grid.boundaries.y))\n",
    "min_grid_z = np.min(np.diff(sim.grid.boundaries.z))\n",
    "min_grid = np.min([min_grid_x, min_grid_y, min_grid_z])\n",
    "\n",
    "print(f\"minimal grid size in x is {min_grid_x}.\")\n",
    "print(f\"minimal grid size in y is {min_grid_y}.\")\n",
    "print(f\"minimal grid size in z is {min_grid_z}.\")\n",
    "print(f\"minimal grid {min_grid}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "4d76818b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "951719\n"
     ]
    }
   ],
   "source": [
    "C = 0.99                            # Default Courant Factor\n",
    "dt = C*min_grid / td.C_0\n",
    "times=np.arange(0, run_time, dt)\n",
    "print(len(times))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "f5610ade",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_source(source, run_time, times, freqs=None, xlim_time=None, xlim_freq=None, save_as=None, dpi=300):\n",
    "    f, (ax1, ax2) = plt.subplots(1, 2, tight_layout=True, figsize=(10, 4))\n",
    "    ax1 = source.source_time.plot(times, ax=ax1)\n",
    "    if xlim_time is not None: ax1.set_xlim(xlim_time)\n",
    "\n",
    "    ax2 = source.source_time.plot_spectrum(times, val='abs', ax=ax2)\n",
    "    if freqs is not None: ax2.fill_between([np.min(freqs), np.max(freqs)], [-0e-16, -0e-16], [2.5e-14, 2.5e-14], alpha=0.4, color='g')\n",
    "    if xlim_freq is not None: ax2.set_xlim(xlim_freq)\n",
    "    if save_as:\n",
    "        Path(save_as).parent.mkdir(parents=True, exist_ok=True)  # creates all missing folders\n",
    "        plt.savefig(save_as, dpi=dpi)\n",
    "    plt.show()\n",
    "    \n",
    "plot_source(sim.sources[0], run_time, times, freqs=freqs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "212c43f8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Received Simulations: dict_keys(['sim', 'sim_ref'])\n",
      "Loading existing results: Broadband-02\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "02a35cf224b1451bb416fda6cd0f2d18",
       "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"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "run() took 11.55 seconds\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\">11:17:11 EDT </span>Total billed flex credit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.176</span>.                              \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:17:11 EDT\u001b[0m\u001b[2;36m \u001b[0mTotal billed flex credit cost: \u001b[1;36m0.176\u001b[0m.                              \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Real Cost: 0.17609205061187852\n"
     ]
    }
   ],
   "source": [
    "sims = {\"sim\": sim,\n",
    "        \"sim_ref\": sim_ref}\n",
    "runner = SimRunner(sims)\n",
    "res_2 = runner.run(\"Broadband-02\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "876b8fd1",
   "metadata": {},
   "outputs": [],
   "source": [
    "simData = res_2[\"sim\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "b59a7ea1",
   "metadata": {},
   "outputs": [],
   "source": [
    "simData_ref = res_2[\"sim_ref\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f8fbe9f8",
   "metadata": {},
   "source": [
    "## Plotting the Transmittance\n",
    "\n",
    "Extract and plot the transmittance spectrum. The sharp dip indicates the high-Q q-BIC resonance."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "093873ec",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Extract the Transmittance\n",
    "# \"t\" was the name of the flux monitor defined when defining monitors\n",
    "T = simData[\"t\"].flux"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "34b5b91a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x450 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(6, 4.5))\n",
    "plt.plot(monitor_wvls * 1000, T, color=\"red\", lw=1, label=\"T\")\n",
    "plt.xlabel(r\"wavelength ($nm$)\")\n",
    "plt.ylabel(\"Transmittance\")\n",
    "plt.legend(loc=\"lower left\", fontsize=10)\n",
    "plt.savefig(\"T.png\", dpi=300)\n",
    "plt.ylim(0, 2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a5cf5c7b",
   "metadata": {},
   "source": [
    "## Plotting the Field Enhancement\n",
    "\n",
    "Visualize the electric field distribution at the resonance frequency and compute the field enhancement by normalizing to the reference (empty) simulation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "2cd415d3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;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: Colocating data that has already been colocated during the</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">solver run. For most accurate results when colocating to custom    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">coordinates set </span><span style=\"color: #008000; text-decoration-color: #008000\">'Monitor.colocate'</span><span style=\"color: #800000; text-decoration-color: #800000\"> to </span><span style=\"color: #008000; text-decoration-color: #008000\">'False'</span><span style=\"color: #800000; text-decoration-color: #800000\"> to use the raw data  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">on the Yee grid and avoid double interpolation. Note: the default  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">value was changed to </span><span style=\"color: #008000; text-decoration-color: #008000\">'True'</span><span style=\"color: #800000; text-decoration-color: #800000\"> in Tidy3D version </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.4</span><span style=\"color: #800000; text-decoration-color: #800000\">.</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span><span style=\"color: #800000; text-decoration-color: #800000\">.               </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Colocating data that has already been colocated during the\u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31msolver run. For most accurate results when colocating to custom    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mcoordinates set \u001b[0m\u001b[32m'Monitor.colocate'\u001b[0m\u001b[31m to \u001b[0m\u001b[32m'False'\u001b[0m\u001b[31m to use the raw data  \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mon the Yee grid and avoid double interpolation. Note: the default  \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mvalue was changed to \u001b[0m\u001b[32m'True'\u001b[0m\u001b[31m in Tidy3D version \u001b[0m\u001b[1;36m2.4\u001b[0m\u001b[31m.\u001b[0m\u001b[1;36m0\u001b[0m\u001b[31m.               \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\">11:17:12 EDT </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Colocating data that has already been colocated during the</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">solver run. For most accurate results when colocating to custom    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">coordinates set </span><span style=\"color: #008000; text-decoration-color: #008000\">'Monitor.colocate'</span><span style=\"color: #800000; text-decoration-color: #800000\"> to </span><span style=\"color: #008000; text-decoration-color: #008000\">'False'</span><span style=\"color: #800000; text-decoration-color: #800000\"> to use the raw data  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">on the Yee grid and avoid double interpolation. Note: the default  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">value was changed to </span><span style=\"color: #008000; text-decoration-color: #008000\">'True'</span><span style=\"color: #800000; text-decoration-color: #800000\"> in Tidy3D version </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.4</span><span style=\"color: #800000; text-decoration-color: #800000\">.</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span><span style=\"color: #800000; text-decoration-color: #800000\">.               </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:17:12 EDT\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Colocating data that has already been colocated during the\u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31msolver run. For most accurate results when colocating to custom    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mcoordinates set \u001b[0m\u001b[32m'Monitor.colocate'\u001b[0m\u001b[31m to \u001b[0m\u001b[32m'False'\u001b[0m\u001b[31m to use the raw data  \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mon the Yee grid and avoid double interpolation. Note: the default  \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mvalue was changed to \u001b[0m\u001b[32m'True'\u001b[0m\u001b[31m in Tidy3D version \u001b[0m\u001b[1;36m2.4\u001b[0m\u001b[31m.\u001b[0m\u001b[1;36m0\u001b[0m\u001b[31m.               \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "field_ds_z = simData.at_centers(\"z\")\n",
    "field_ds_y = simData.at_centers(\"y\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "e0888b8f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x700 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# average (or sum) over space first\n",
    "spectrum = simData[\"z\"].intensity.mean(dim=[\"x\", \"y\"])  # adjust dims if needed\n",
    "\n",
    "# find peak frequency index\n",
    "idx = spectrum.argmax(dim=\"f\")\n",
    "\n",
    "# downsample the field data for more clear quiver plotting\n",
    "sampling=3\n",
    "field_ds_z_resampled = field_ds_z.sel(x=slice(None, None, sampling), y=slice(None, None, sampling))\n",
    "\n",
    "f, ax = plt.subplots(figsize=(9, 7))\n",
    "field_ds_z.isel(z=0).isel(f=idx).Ex.real.plot.imshow(x=\"x\", y=\"y\", ax=ax, robust=True)\n",
    "field_ds_z_resampled.isel(z=0).isel(f=idx).real.plot.quiver(\"x\", \"y\", \"Ex\", \"Ey\", ax=ax)\n",
    "plt.savefig(\"quiver_xy_Ex.png\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "a57ebe26",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x700 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# average (or sum) over space first\n",
    "spectrum = simData[\"y\"].intensity.mean(dim=[\"y\", \"z\"])  # adjust dims if needed\n",
    "\n",
    "# find peak frequency index\n",
    "idx = spectrum.argmax(dim=\"f\")\n",
    "\n",
    "# downsample the field data for more clear quiver plotting\n",
    "sampling=3\n",
    "field_ds_y_resampled = field_ds_y.sel(z=slice(None, None, sampling), y=slice(None, None, sampling))\n",
    "\n",
    "f, ax = plt.subplots(figsize=(9, 7))\n",
    "field_ds_y.isel(x=0).isel(f=idx).Ex.real.plot.imshow(x=\"y\", y=\"z\", ax=ax, robust=True)\n",
    "field_ds_y_resampled.isel(x=0).isel(f=idx).real.plot.quiver(\"z\", \"y\", \"Ez\", \"Ey\", ax=ax)\n",
    "plt.savefig(\"quiver_yz_Ex.png\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "24297466",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x700 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# average (or sum) over space first\n",
    "spectrum = simData[\"z\"].intensity.mean(dim=[\"x\", \"y\"])  # adjust dims if needed\n",
    "\n",
    "# find peak frequency index\n",
    "idx = spectrum.argmax(dim=\"f\")\n",
    "\n",
    "# downsample the field data for more clear quiver plotting\n",
    "field_ds_z_resampled = field_ds_z.sel(x=slice(None, None, 7), y=slice(None, None, 7))\n",
    "\n",
    "f, ax = plt.subplots(figsize=(9, 7))\n",
    "field_ds_z.isel(z=0).isel(f=idx).Ey.real.plot.imshow(x=\"x\", y=\"y\", ax=ax, robust=True)\n",
    "field_ds_z_resampled.isel(z=0).isel(f=idx).real.plot.quiver(\"x\", \"y\", \"Ex\", \"Ey\", ax=ax)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "0fa35609",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x30fe7c3d0>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x700 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# average (or sum) over space first\n",
    "spectrum = simData[\"y\"].intensity.mean(dim=[\"z\", \"y\"])  # adjust dims if needed\n",
    "\n",
    "# find peak frequency index\n",
    "idx = spectrum.argmax(dim=\"f\")\n",
    "\n",
    "# # get frequency value\n",
    "f_peak = simData[\"y\"].intensity.isel(f=idx)\n",
    "f_peak_ref = simData_ref[\"y\"].intensity.isel(f=idx)\n",
    "f_peak_field = np.sqrt(f_peak)\n",
    "\n",
    "# Divide out the scaling factor\n",
    "alpha = np.sqrt(np.max(f_peak_ref)).values\n",
    "\n",
    "# plot the peak\n",
    "(f_peak_field / alpha).transpose(\"z\", \"y\").plot(figsize=(6, 7), cmap=\"magma\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "9a55bf82",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Field Enhancement: 141.87673950195312\n"
     ]
    }
   ],
   "source": [
    "print(f\"Field Enhancement: {np.max(f_peak_field / alpha).values}\")"
   ]
  }
 ],
 "metadata": {
  "applications": [
   "Metamaterials, gratings, and other periodic structures",
   "Nanophotonics"
  ],
  "description": "Dielectric metasurfaces supporting quasi-bound states in the continuum (q-BICs) can produce ultrasharp resonances with high quality factors. This notebook demonstrates how to use Tidy3D's ResonanceFinder plugin to locate q-BIC resonances in a GaP elliptical-pillar metasurface with a symmetry-breaking coupler and then compute the near-field enhancement at the resonance frequency.",
  "feature_image": "./img/QBIC.png",
  "features": [
   "Resonance finder"
  ],
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "keywords": "quasi-BIC, bound state, metasurface, resonance finder, field enhancement, GaP, symmetry breaking, high-Q, 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": "3.11.8"
  },
  "title": "How to find quasi-BIC resonances and field enhancement in Tidy3D FDTD"
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
