{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# Computing the scattering matrix of an optical device\n",
        "\n",
        "Note: the cost of running the entire notebook is larger than 1\n",
        "FlexCredit.\n",
        "\n",
        "This notebook will give a demo of the `Tidy3D`\n",
        "[ComponentModeler](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.smatrix.ComponentModeler.html)\n",
        "plugin used to compute scattering matrix elements.\n",
        "\n",
        "For more integrated photonic examples such as the [8-Channel mode and\n",
        "polarization\n",
        "de-multiplexer](https://www.flexcompute.com/tidy3d/examples/notebooks/8ChannelDemultiplexer/),\n",
        "the [broadband bi-level taper polarization\n",
        "rotator-splitter](https://www.flexcompute.com/tidy3d/examples/notebooks/BilevelPSR/),\n",
        "and the [broadband directional\n",
        "coupler](https://www.flexcompute.com/tidy3d/examples/notebooks/BroadbandDirectionalCoupler/),\n",
        "please visit our [examples\n",
        "page](https://www.flexcompute.com/tidy3d/examples/).\n",
        "\n",
        "If you are new to the finite-difference time-domain (FDTD) method, we\n",
        "highly recommend going through our\n",
        "[FDTD101](https://www.flexcompute.com/fdtd101/) tutorials. FDTD\n",
        "simulations can diverge due to various reasons. If you run into any\n",
        "simulation divergence issues, please follow the steps outlined in our\n",
        "[troubleshooting\n",
        "guide](https://www.flexcompute.com/tidy3d/examples/notebooks/DivergedFDTDSimulation/)\n",
        "to resolve it."
      ],
      "id": "e2ce86c0-c39b-4cb2-9d58-864d457b21a2"
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {},
      "outputs": [],
      "source": [
        "import gdstk\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "\n",
        "# tidy3D imports\n",
        "import tidy3d as td\n",
        "from tidy3d import web"
      ],
      "id": "f002c632"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Setup\n",
        "\n",
        "We will simulate a directional coupler, similar to the GDS and Parameter\n",
        "scan tutorials.\n",
        "\n",
        "Let’s start by setting up some basic parameters."
      ],
      "id": "8a766507-4989-4280-89d2-ba41086eee1c"
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {},
      "outputs": [],
      "source": [
        "# wavelength / frequency\n",
        "lambda0 = 1.550  # all length scales in microns\n",
        "freq0 = td.constants.C_0 / lambda0\n",
        "lambda_range = np.linspace(1.5, 1.6, 40)\n",
        "freqs = td.constants.C_0 / lambda_range\n",
        "fwidth = freq0 / 10  # for the source\n",
        "\n",
        "# Spatial grid specification\n",
        "grid_spec = td.GridSpec.auto(min_steps_per_wvl=14, wavelength=lambda0)\n",
        "\n",
        "# Permittivity of waveguide and substrate\n",
        "wg_n = 3.48\n",
        "sub_n = 1.45\n",
        "mat_wg = td.Medium(permittivity=wg_n**2)\n",
        "mat_sub = td.Medium(permittivity=sub_n**2)\n",
        "\n",
        "# Waveguide dimensions\n",
        "\n",
        "# Waveguide height\n",
        "wg_height = 0.22\n",
        "# Waveguide width\n",
        "wg_width = 0.5\n",
        "# Waveguide separation in the beginning/end\n",
        "wg_spacing_in = 8\n",
        "# length of coupling region (um)\n",
        "coup_length = 5.0\n",
        "# spacing between waveguides in coupling region (um)\n",
        "wg_spacing_coup = 0.07\n",
        "# Total device length along propagation direction\n",
        "device_length = 100\n",
        "# Length of the bend region\n",
        "bend_length = 16\n",
        "# Straight waveguide sections on each side\n",
        "straight_wg_length = 4\n",
        "# space between waveguide and PML\n",
        "pml_spacing = 1.2"
      ],
      "id": "0e909da2"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Define waveguide bends and coupler\n",
        "\n",
        "Here is where we define our directional coupler shape programmatically\n",
        "in terms of the geometric parameters"
      ],
      "id": "2a391a62-706d-45a6-af28-d133aa9175e8"
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {},
      "outputs": [],
      "source": [
        "def tanh_interp(max_arg):\n",
        "    \"\"\"Interpolator for tanh with adjustable extension\"\"\"\n",
        "    scale = 1 / np.tanh(max_arg)\n",
        "    return lambda u: 0.5 * (1 + scale * np.tanh(max_arg * (u * 2 - 1)))\n",
        "\n",
        "\n",
        "def make_coupler(\n",
        "    length,\n",
        "    wg_spacing_in,\n",
        "    wg_width,\n",
        "    wg_spacing_coup,\n",
        "    coup_length,\n",
        "    bend_length,\n",
        "    npts_bend=30,\n",
        "):\n",
        "    \"\"\"Make an integrated coupler using the gdstk RobustPath object.\"\"\"\n",
        "    # bend interpolator\n",
        "    interp = tanh_interp(3)\n",
        "    delta = wg_width + wg_spacing_coup - wg_spacing_in\n",
        "    offset = lambda u: wg_spacing_in + interp(u) * delta\n",
        "\n",
        "    coup = gdstk.RobustPath(\n",
        "        (-0.5 * length, 0),\n",
        "        (wg_width, wg_width),\n",
        "        wg_spacing_in,\n",
        "        simple_path=True,\n",
        "        layer=1,\n",
        "        datatype=[0, 1],\n",
        "    )\n",
        "    coup.segment((-0.5 * coup_length - bend_length, 0))\n",
        "    coup.segment(\n",
        "        (-0.5 * coup_length, 0),\n",
        "        offset=[lambda u: -0.5 * offset(u), lambda u: 0.5 * offset(u)],\n",
        "    )\n",
        "    coup.segment((0.5 * coup_length, 0))\n",
        "    coup.segment(\n",
        "        (0.5 * coup_length + bend_length, 0),\n",
        "        offset=[lambda u: -0.5 * offset(1 - u), lambda u: 0.5 * offset(1 - u)],\n",
        "    )\n",
        "    coup.segment((0.5 * length, 0))\n",
        "    return coup"
      ],
      "id": "454a6e4d"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "### Create Base Simulation\n",
        "\n",
        "The scattering matrix tool requires the “base”\n",
        "[Simulation](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Simulation.html)\n",
        "(without the modal sources or monitors used to compute S-parameters), so\n",
        "we will construct that now.\n",
        "\n",
        "We generate the structures and add a\n",
        "[FieldMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldMonitor.html?highlight=FieldMonitor)\n",
        "so we can inspect the field patterns."
      ],
      "id": "791b3889-d2ed-4dce-a213-18df0e9ab1a3"
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {},
      "outputs": [],
      "source": [
        "# Geometry must be placed in GDS cells to import into Tidy3D\n",
        "coup_cell = gdstk.Cell(\"Coupler\")\n",
        "\n",
        "substrate = gdstk.rectangle(\n",
        "    (-device_length / 2, -wg_spacing_in / 2 - 10),\n",
        "    (device_length / 2, wg_spacing_in / 2 + 10),\n",
        "    layer=0,\n",
        ")\n",
        "coup_cell.add(substrate)\n",
        "\n",
        "# Add the coupler to a GDS cell\n",
        "gds_coup = make_coupler(\n",
        "    device_length, wg_spacing_in, wg_width, wg_spacing_coup, coup_length, bend_length\n",
        ")\n",
        "coup_cell.add(gds_coup)\n",
        "\n",
        "# Substrate\n",
        "(oxide_geo,) = td.PolySlab.from_gds(\n",
        "    gds_cell=coup_cell, gds_layer=0, gds_dtype=0, slab_bounds=(-10, 0), axis=2\n",
        ")\n",
        "\n",
        "oxide = td.Structure(geometry=oxide_geo, medium=mat_sub)\n",
        "\n",
        "# Waveguides (import all datatypes if gds_dtype not specified)\n",
        "coupler1_geo, coupler2_geo = td.PolySlab.from_gds(\n",
        "    gds_cell=coup_cell, gds_layer=1, slab_bounds=(0, wg_height), axis=2\n",
        ")\n",
        "\n",
        "coupler1 = td.Structure(geometry=coupler1_geo, medium=mat_wg)\n",
        "\n",
        "coupler2 = td.Structure(geometry=coupler2_geo, medium=mat_wg)\n",
        "\n",
        "# Simulation size along propagation direction\n",
        "sim_length = 2 * straight_wg_length + 2 * bend_length + coup_length\n",
        "\n",
        "# Spacing between waveguides and PML\n",
        "sim_size = [\n",
        "    sim_length,\n",
        "    wg_spacing_in + wg_width + 2 * pml_spacing,\n",
        "    wg_height + 2 * pml_spacing,\n",
        "]\n",
        "\n",
        "# source\n",
        "src_pos = sim_length / 2 - straight_wg_length / 2\n",
        "\n",
        "# in-plane field monitor (optional, increases required data storage)\n",
        "domain_monitor = td.FieldMonitor(\n",
        "    center=[0, 0, wg_height / 2], size=[td.inf, td.inf, 0], freqs=[freq0], name=\"field\"\n",
        ")\n",
        "\n",
        "# initialize the simulation\n",
        "sim = td.Simulation(\n",
        "    size=sim_size,\n",
        "    grid_spec=grid_spec,\n",
        "    structures=[oxide, coupler1, coupler2],\n",
        "    sources=[],\n",
        "    monitors=[domain_monitor],\n",
        "    run_time=50 / fwidth,\n",
        "    boundary_spec=td.BoundarySpec.all_sides(boundary=td.PML()),\n",
        ")"
      ],
      "id": "c35a0e0d"
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
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vwnzJZ3ao3aXlqvaHt30sew45a61u9Sz7b98p84R8Vz6gkOAQBQgKy4peCW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\nvrJtW/GesCKtnQodaFNof6viw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pQVjmZ6egAAjEm8N6KeHQfU9vc3tf8Pf9PB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\nAADIjGg0KjsP9xxGKloNfZ5vxSoAAAAAAIBCwf5PchBYRtoUe015nBSaA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          }
        }
      ],
      "source": [
        "f, (ax1, ax2) = plt.subplots(1, 2, tight_layout=True, figsize=(15, 10))\n",
        "ax1 = sim.plot(z=wg_height / 2, ax=ax1)\n",
        "ax2 = sim.plot(x=src_pos, ax=ax2)"
      ],
      "id": "66ba22a9"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Setting up the Scattering Matrix Tool\n",
        "\n",
        "Now, to use the S matrix tool, we need to define the spatial extent of\n",
        "the “ports” of our system using\n",
        "[Port](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.smatrix.Port.html)\n",
        "objects.\n",
        "\n",
        "These ports will be converted into modal sources and monitors later, so\n",
        "they require both some mode specification and a definition of the\n",
        "direction that points into the system.\n",
        "\n",
        "We’ll also give them names to refer to later."
      ],
      "id": "38c63ef6-3202-4c53-857f-7a9a2a06e85e"
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {},
      "outputs": [],
      "source": [
        "from tidy3d.plugins.smatrix import Port\n",
        "\n",
        "num_modes = 1\n",
        "\n",
        "port_right_top = Port(\n",
        "    center=[src_pos, wg_spacing_in / 2, wg_height / 2],\n",
        "    size=[0, 4, 2],\n",
        "    mode_spec=td.ModeSpec(num_modes=num_modes),\n",
        "    direction=\"-\",\n",
        "    name=\"right_top\",\n",
        ")\n",
        "\n",
        "port_right_bot = Port(\n",
        "    center=[src_pos, -wg_spacing_in / 2, wg_height / 2],\n",
        "    size=[0, 4, 2],\n",
        "    mode_spec=td.ModeSpec(num_modes=num_modes),\n",
        "    direction=\"-\",\n",
        "    name=\"right_bot\",\n",
        ")\n",
        "\n",
        "port_left_top = Port(\n",
        "    center=[-src_pos, wg_spacing_in / 2, wg_height / 2],\n",
        "    size=[0, 4, 2],\n",
        "    mode_spec=td.ModeSpec(num_modes=num_modes),\n",
        "    direction=\"+\",\n",
        "    name=\"left_top\",\n",
        ")\n",
        "\n",
        "port_left_bot = Port(\n",
        "    center=[-src_pos, -wg_spacing_in / 2, wg_height / 2],\n",
        "    size=[0, 4, 2],\n",
        "    mode_spec=td.ModeSpec(num_modes=num_modes),\n",
        "    direction=\"+\",\n",
        "    name=\"left_bot\",\n",
        ")\n",
        "\n",
        "ports = [port_right_top, port_right_bot, port_left_top, port_left_bot]"
      ],
      "id": "2a83674f"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Next, we will add the base simulation and ports to the\n",
        "[ComponentModeler](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.smatrix.ComponentModeler.html),\n",
        "along with the frequency of interest and a name for saving the batch of\n",
        "simulations that will get created later."
      ],
      "id": "ede332a1-5c95-46d8-b125-7b0ebfbff8f0"
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">06:58:36 UTC </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: </span><span style=\"color: #008000; text-decoration-color: #008000\">'ModalComponentModeler'</span><span style=\"color: #800000; text-decoration-color: #800000\"> was refactored </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">(</span><span style=\"color: #800000; text-decoration-color: #800000\">tidy3d </span><span style=\"color: #008000; text-decoration-color: #008000\">'v2.10.0'</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</span><span style=\"color: #800000; text-decoration-color: #800000\">.</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">Existing functionality is available differently. Please consult the</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">migration documentation:                                           </span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">https://docs.flexcompute.com/projects/tidy3d/en/latest/api/microwav</span>\n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #0000ff; text-decoration-color: #0000ff; text-decoration: underline\">e/microwave_migration.html</span><span style=\"color: #800000; text-decoration-color: #800000\">                                         </span>\n",
              "</pre>"
            ]
          }
        }
      ],
      "source": [
        "from tidy3d.plugins.smatrix import ModalComponentModeler\n",
        "\n",
        "modeler = ModalComponentModeler(\n",
        "    simulation=sim,\n",
        "    ports=ports,\n",
        "    freqs=freqs,\n",
        ")"
      ],
      "id": "a4c3d3fd"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We can plot the simulation with all of the ports as sources to check\n",
        "things are set up correctly."
      ],
      "id": "5f054973-ae7d-43dc-a25c-fa2aa1e4aa48"
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
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v7nlN1plxz2qkmh1Sf6Vpv4K5tNsttlsx28qrC5rk0HH7f9/AvKtV5vPi/JZv95e9X3Vf115n3z\ndQHHcPCXyO21X9PQ1Y6booukMZJK3B7N2/iT/r12mzYdKLbOY+yv9KjAMNQq3anWmenKdAb+28/j\n8cp2oFRpuS101oiBunBAr2Yf09cNnMfp0uKoZu8jHuR8cUCZ+9wqd/uVmdfCejxTUnqFX67Sqqsu\nl/vTlJbGb6EjsTU0WGNKpEGbxqirnwnLAAAAAAAg1aTa+Z+aEqWfCctAAvIbhg5UelRY4Val16cM\np+P/2bvzMLnqMv3/9zm191K9ptPp7DskQAJhCYvsCLIIioMjKC6ojDIj4zbq6DjqODOi6LiPqF/3\nH7gzsooIooiEAIEASQgJ2ZdOeq/u6lrPOb8/qqvT3ek1XXu9X9eVq6u6zjmfpzuBdD7PXc/RzEq/\nanxe+V0uXbpwlt60fL5WNNZkpek40mCDU5JKKFtqW7Ycy5KTSIeYk3KStpxkcjDU7CRTr9vWkbDz\nUZ9LDBybvpZFM3BctqPIvnZF9rXL9LpVMX+mKha1yNsQzMmfZwAAAKBQOI6jWFu3+nccVP+eQ3IS\nVr5LKhqGy5Thccl0u2S4XDI8qZCxORg2Hh46Tn0cOM418NrI810uma7x7yyFo1V5Pbru+AX6u+Pm\na+PhLv166249srtV0aQ1uLfRHe2T3+1Snd+roM8jk3/7ZU2lP/VnOB1a9vlKY6o0ytNkmzVpxdK0\nmaypfv0AAAAAAAClrtz3f4rh6yewDBSRmGWrKxpXTywhR1LQ69GsyoACbpfm11Tp2uXzdOXi2Qr6\nvPkutSSYrtSkLE3jtrOjsS1bdiwuKxqXHYnLjsZlRWKyYunHA69F47JjiYyuXWzseFJ92/arb9t+\nuYMVqlw4SxULm+WuDOS7NAAAACBrEr396t95UP07DyrZF813OQXD9Hlk+r1yBbxy+b0Dj31y+bwy\nAwPPB34ZJsHiQmMYhlbPrNfqmfX6cDSme7fv06+37tGB3n71J5PqisZ1MBzR4f6oanwe+bjbTtak\nQ8udvck8VwIcu2MN6xZD02YyCCsDAAAAAACMrtz3fwr96yewDBSR/b398rhMNVb4VOvzyusydcG8\nZr1p+Xytaa5n+myRMF2mzAq/3BX+CY+1LTsVYo7GBj6mQs7pQLM1EHC2ozHZ8dJuNCZD/erZ+Kp6\nXnhVvpl1qlw4S4G5TTI9/FUGAACA4mfHE+rfc1j9Ow4o1taT73JyZjCEPBBEPhI69hFCLmF1fp9u\nPGGx3rpykdbtb9Ovt+7RX/cfVtyy1R2NqzsWV6cVz3eZJa3SbyqZNBQK57sSYOqmG9Yt9KbNRAgr\nAwAAAAAAjK/c938K+esn5QUUAcOQqr0e1fm9qvS4NbMyoDcum6url85V4yRCryhepsuUWemXu3Iy\n4WZLdjQhKxJLTXAemN6c6IsoGQor2dsvO1oCE5sdKdbapVhrl4ynX1ZgbpMqF7XI11RLgAEAAABF\nxbFtRVs71b/joCL72uRYdr5LyihXwCt3dUXqV1VAZuBIENnlS4WRTRc/w5cz0zB01pwmnTWnSa19\nEf3ftr26+5U96ojE1JdITV1G9gR8pmKxWL7LAKYkU2HdQm7ajIewMgAAAAAAwOSU+/5PoX79BJaB\nAreysVZel6m5wUqdObtRb1o+X+fMaZLJNGWMYLpcMitd44abrVhCyd5+JUNhJUL9qce9/UqG+osy\nHOEkbfXvbFX/zla5Kv2qWj5XVUtmM3UZAAAABc2OJ9T3yj71vbJXVqS4A5mG2xwIJVfKE6yQO5gK\nKHuCFTK9nnyXhyLSXBXQP5y8TO9etUR/3nNIv3llj9YfbJchQ8c31OS7vJKVSJTAG5tRNjId1i3U\nps1YCCsDAAAAAABMTbnv/xTi10+iCyhw58xp0i+vPldVHreaKgP5LgdFzuXzyOWrka9xeLPXsR1Z\nkaiSvf2pIHN3n+IdvUp098qxnTxVOzVWOKqeDdvU+9JOVS6bq+rlc+Xye/NdFgAAADAo2R9V38t7\n1Ld9v5yEle9ypsRwmfLUVctbH5S7pkKeYKXc1RVyVfhk8IZaZJDbNHXRglm6aMEsHejtV9JxNC9Y\nmJvHAHInW2HdQmzajIawMgAAAAAAwLEp9/2fQvv6CSwDRWBRbXW+S0CJM0xD7sqA3JUB+ZsbBj9v\nW5YSXX2Kd4YU70j9SobCUgFnmO14Ur0v7VTflt2qXNyi6uPny11F2B8AAAD5kwiF1btlt/p3thbH\nnU0MyVNbJW99UN6GoDwNQXlqqmS6zHxXhjLTUl2R7xIAFIBsh3ULrWkzEmFlAAAAAACA6Sn3/Z9C\n+voJLAMAxmS6XPI1Dp/IbCeSinf2Kt7Rk5rC3NmjZF80j1WOzrHs1G22t+9TxbxmVa9YIG9dVb7L\nAgAAQBmJdfSod/NuRfYeLug3/bmrA/I2BOWtr5G3sVqeuqBMtyvfZQEAkLOwbiE1bYYirAwAAAAA\nAJAZ5b7/UyhfP4FlAMCUmB63/DPr5J9ZN/g5KxpXvCOk2KFORQ50KNkTzmOFI9hS/65W9e9qlb+l\nUdUr58s3o5bbVgMAACArHMdR7FCnQpt2Kdbale9yRuWpq5K/pUH+pnp5GoNyeT35LgkAgKPkOqxb\nKE2bNMLKAAAAAAAAmVXu+z+F8PUTWAYATJvL71VgdqMCsxtVe4qUDEcUPdip6IF2RVs75SSsfJco\nSal6DrTLO6NG1SsWKNDSKMMkuAwAAIDpc2xbkX1t6t20S/HO3nyXM4zpdcs/q0H+WQ3yzaqXu8Kf\n75IAABhXtpo1B+MHxz/AI9lVtuKhuCSptbNV3qRX7kBuWynJSHKwBknyBr0KeUIKxUOTOj9qRxVL\nxhSPxvXb9t9mq0wAgKQ3Nr4x3yUAAAoMP4MDQPbtj+5Xf7Jflm1NvN8zUhHu/8zyzsrYuvkOLRNY\nRka4XNwqFsAR7sqAqpbMVtWS2XJsW7H2HkUPdih2oKMgwhvxth51/Hmj3DWVCq6Yr4oFzTJMM99l\nAQAAoAjZlqX+na3q3bxLyd5IvstJMSRvQzAVUm5plLe+mp93AQBFI9+ThdPNqXTDKP0xV02r0ZpV\nuW6YAQAAAAAAlLJy3//JZ2iZXS5khMfjUdJy8l0GgAJkmKb8TXXyN9VJq5YoGYkp1tqp6IEORVs7\nZEcTeast2RNW55ObFdq0S7WnLJW/pVGGwcRlAAAATMxxHEX2HlbPc9uU7Ivmuxy5Al75BqYo+5vr\n5fJ7810SAABTlu+wclq+mlb5blYBAAAAAACUi3Lf/8lXaJmdLmRMPCmFo7Yq/UxtAjA2d8An98JZ\nqlw4S47tKNbWrf6dB9W/55CchJWXmpKhfrU/tlG+5nrVnrJU3rrqvNQBAACA4hBr71H3hlcUb+vJ\nax2m162K+TNVsXCWvI01vPkOAFDUCiWsnJbrplWhNKsAAAAAAADKRbnv/+QjtMxuFzKqO5wKGxJa\nBjAZhmnIP7NO/pl1qj11uSL72tS/84CiBzulPAxtj7V26tCDT6lycYuCJy2WO+DLfREAAAAoWMlw\nVD0bt6t/Z2v+ijClwKxGVSyaJf/sRpkuV/5qAQAgQ/IVVu5JTvDmI4+kSsnoS70pKNmTlGM5kj/D\nhUSPrCFJTpWjhCchJY/tcoZtyLEdhRNhHeo7lKEiAQCSdErVKfkuAQBQZDb0bch3CQBQcsyEKcM2\nZNiGYsnY9C5WgPs/Ne6aDC8+tlyHlgksIyMSicTgY0LLAI6F6XapckGzKhc0K9kfVf+uVvXvOKhE\nTzi3hThSePsB9e8+pODKBao6bh4hEAAAgDJnJyz1btml3s275Vh2Xmrw1lerYuEsBRY0y+335qUG\nAMDR+vv79eyzz+qpp57S+vXr9dxzzykSiUiS7r33Xp188skZXe+5557T97//fT399NPq7OxUY2Oj\nzjzzTL3nPe/RihUrcnaNTCq0ycpH8UuOnMGGktFnyFEGm1ajNKsy3hADAAAAAADA2Mp8/yeXoWUC\ny8gIy7LkHfKnidAygOlwV/gVXLFA1cfPV7yrV/07Dqp/d6vsaGLikzPESVjqef5V9W3br5rVS1Qx\nfya32AYAACgzju2of+dB9WzcLisSn/iEDHMFvKpY0KyKhS3y1lXlfH0AwPi2b9+u4447TpZljfp6\nLDbN6S4jfPazn9XnPvc52faRN8+8+uqreuqpp/Stb31Lt99+uz7wgQ9k/RqZVPBh5bRsNa0KvFkF\nAAAAAABQNsp8/2es0LLH48noOqRJkTFul6HayiNTSLvDlsLR/EyeAlAaDMOQrz6oulOXq+UNr1HD\neasUmDdDhit3f31Z4ag6n3hJhx9+RrH2CW4TCgAAgJIRPdSlww+tV+e6zTkNKxsuUxULZqrxgtWa\ndc05qj1lGWFlAChQyWRSPp9P55xzjj70oQ/p5z//uf71X/81K2t94xvf0Gc+8xnZtq3zzz9ff/jD\nH7Rt2zbdd999Ou2005RIJHTrrbfqrrvuyuo1Mqlowspp/oGG0gCjz5Ci07hekTSrAAAAAAAAykaZ\n7/9UVlaqtrZ28Hl3d/fg3eQyhQnLyKj0ROX0hGUmLQPIFMM0VTFnhirmzFAyElPf1r3q27ZPTjyZ\nk/XjbT06/NDTqljQrJrVS+SuLOCfIAAAAHDMEr396nlumyJ723K6runzqGr5XFUtnSOX35vTtQEA\nx2bp0qUKhUJyuY4McWhry/zfH4cPHx4MQp977rl6+OGH5XantvaXLFmiCy+8UGeccYZefPFF/fM/\n/7OuuuoqVVVVZfwamVSoYeUad834B1RJSVdS8dDAm5nCktfllTswtVZLMpJUPByXBvpV3uDUrzGe\nqBmVy3Spw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S2jlI1s1tTW1ko60qzp7u6WXWWXbNNqZFjZdPPfOQAAAAAAKG2m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\nz6eTTz5ZzzzzjJ544okxj7NtW08++aQkae3atXlZJ1e15tpkw8pptssjy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          }
        }
      ],
      "source": [
        "f, (ax1, ax2) = plt.subplots(1, 2, tight_layout=True, figsize=(15, 10))\n",
        "ax1 = modeler.plot_sim(z=wg_height / 2, ax=ax1)\n",
        "ax2 = modeler.plot_sim(x=src_pos, ax=ax2)"
      ],
      "id": "dc6f5a57"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Solving for the S matrix\n",
        "\n",
        "With the component modeler defined, we can use the usual `web` functions\n",
        "to `run` the batch of simulations needed to compute the S matrix. The\n",
        "tool will loop through each port and create one simulation per mode\n",
        "index (as defined by the mode specifications) where a unique modal\n",
        "source is injected. Each of the ports will also be converted to mode\n",
        "monitors to measure the mode amplitudes and normalization. The\n",
        "simulations run asynchronously in a batch, and the final post-processing\n",
        "step assembles all the data into a single\n",
        "[ModalComponentModelerData](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.ModalComponentModelerData.html)\n",
        "object."
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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\">06:58:37 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'directional coupler'</span> with resource_id                \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'sid-f9aa2ad4-c3da-4f1e-ba39-dc5f32657ea4'</span> and task_type           \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'MODAL_CM'</span>.                                                        \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\">06:58:48 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.760</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the billed FlexCredit cost after a simulation run.             \n",
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              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Group ID: <span style=\"color: #008000; text-decoration-color: #008000\">'pa-41dfdf75-0d89-4c55-8872-842825800948'</span>                \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\">07:00:20 UTC </span>Batch status = running <span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span><span style=\"font-weight: bold\">)</span>                                       \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\">07:00:25 UTC </span>Batch status = success <span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span><span style=\"font-weight: bold\">)</span>                                       \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\">07:01:02 UTC </span>Batch status = success <span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span><span style=\"font-weight: bold\">)</span>                                       \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\">07:01:24 UTC </span>Batch status = postprocess_success                                 \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\">07:01:26 UTC </span>Modeler has finished running successfully.                         \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\">07:01:27 UTC </span>Billed flex credit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.967</span>.                                    \n",
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        "modeler_data = web.run(modeler, task_name=\"directional coupler\", verbose=True)"
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        "## Working with Scattering Matrix\n",
        "\n",
        "The scattering matrix returned by the solve is an xr.DataArray relating\n",
        "the port names and mode_indices. For example\n",
        "`smatrix.loc[dict(port_in=name1, mode_index_in=mode_index1, port_out=name2, mode_index_out=mode_index_2)]`\n",
        "gives the complex scattering matrix element over all computed\n",
        "frequencies."
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              "  display: inline-block;\n",
              "  content: \"►\";\n",
              "  font-size: 11px;\n",
              "  width: 15px;\n",
              "  text-align: center;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:disabled + label:before {\n",
              "  color: var(--xr-disabled-color);\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked + label:before {\n",
              "  content: \"▼\";\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked + label > span {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-section-summary,\n",
              ".xr-section-inline-details,\n",
              ".xr-group-box-contents > label {\n",
              "  padding-top: 4px;\n",
              "}\n",
              "\n",
              ".xr-section-inline-details {\n",
              "  grid-column: 2 / -1;\n",
              "}\n",
              "\n",
              ".xr-section-details {\n",
              "  grid-column: 1 / -1;\n",
              "  margin-top: 4px;\n",
              "  margin-bottom: 5px;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in ~ .xr-section-details {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-section-summary-in:checked ~ .xr-section-details {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-children {\n",
              "  display: inline-grid;\n",
              "  grid-template-columns: 100%;\n",
              "  grid-column: 1 / -1;\n",
              "  padding-top: 4px;\n",
              "}\n",
              "\n",
              ".xr-group-box {\n",
              "  display: inline-grid;\n",
              "  grid-template-columns: 0px 30px auto;\n",
              "}\n",
              "\n",
              ".xr-group-box-vline {\n",
              "  grid-column-start: 1;\n",
              "  border-right: 0.2em solid;\n",
              "  border-color: var(--xr-border-color);\n",
              "  width: 0px;\n",
              "}\n",
              "\n",
              ".xr-group-box-hline {\n",
              "  grid-column-start: 2;\n",
              "  grid-row-start: 1;\n",
              "  height: 1em;\n",
              "  width: 26px;\n",
              "  border-bottom: 0.2em solid;\n",
              "  border-color: var(--xr-border-color);\n",
              "}\n",
              "\n",
              ".xr-group-box-contents {\n",
              "  grid-column-start: 3;\n",
              "  padding-bottom: 4px;\n",
              "}\n",
              "\n",
              ".xr-group-box-contents > label::before {\n",
              "  content: \"📂\";\n",
              "  padding-right: 0.3em;\n",
              "}\n",
              "\n",
              ".xr-group-box-contents > input:checked + label::before {\n",
              "  content: \"📁\";\n",
              "}\n",
              "\n",
              ".xr-group-box-contents > input:checked + label {\n",
              "  padding-bottom: 0px;\n",
              "}\n",
              "\n",
              ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-group-box-contents > input + label > span {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-group-box-ellipsis {\n",
              "  font-size: 1.4em;\n",
              "  font-weight: 900;\n",
              "  color: var(--xr-font-color2);\n",
              "  letter-spacing: 0.15em;\n",
              "  cursor: default;\n",
              "}\n",
              "\n",
              ".xr-array-wrap {\n",
              "  grid-column: 1 / -1;\n",
              "  display: grid;\n",
              "  grid-template-columns: 20px auto;\n",
              "}\n",
              "\n",
              ".xr-array-wrap > label {\n",
              "  grid-column: 1;\n",
              "  vertical-align: top;\n",
              "}\n",
              "\n",
              ".xr-preview {\n",
              "  color: var(--xr-font-color3);\n",
              "}\n",
              "\n",
              ".xr-array-preview,\n",
              ".xr-array-data {\n",
              "  padding: 0 5px !important;\n",
              "  grid-column: 2;\n",
              "}\n",
              "\n",
              ".xr-array-data,\n",
              ".xr-array-in:checked ~ .xr-array-preview {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              ".xr-array-in:checked ~ .xr-array-data,\n",
              ".xr-array-preview {\n",
              "  display: inline-block;\n",
              "}\n",
              "\n",
              ".xr-dim-list {\n",
              "  display: inline-block !important;\n",
              "  list-style: none;\n",
              "  padding: 0 !important;\n",
              "  margin: 0;\n",
              "}\n",
              "\n",
              ".xr-dim-list li {\n",
              "  display: inline-block;\n",
              "  padding: 0;\n",
              "  margin: 0;\n",
              "}\n",
              "\n",
              ".xr-dim-list:before {\n",
              "  content: \"(\";\n",
              "}\n",
              "\n",
              ".xr-dim-list:after {\n",
              "  content: \")\";\n",
              "}\n",
              "\n",
              ".xr-dim-list li:not(:last-child):after {\n",
              "  content: \",\";\n",
              "  padding-right: 5px;\n",
              "}\n",
              "\n",
              ".xr-has-index {\n",
              "  font-weight: bold;\n",
              "}\n",
              "\n",
              ".xr-var-list,\n",
              ".xr-var-item {\n",
              "  display: contents;\n",
              "}\n",
              "\n",
              ".xr-var-item > div,\n",
              ".xr-var-item label,\n",
              ".xr-var-item > .xr-var-name span {\n",
              "  background-color: var(--xr-background-color-row-even);\n",
              "  border-color: var(--xr-background-color-row-odd);\n",
              "  margin-bottom: 0;\n",
              "  padding-top: 2px;\n",
              "}\n",
              "\n",
              ".xr-var-item > .xr-var-name:hover span {\n",
              "  padding-right: 5px;\n",
              "}\n",
              "\n",
              ".xr-var-list > li:nth-child(odd) > div,\n",
              ".xr-var-list > li:nth-child(odd) > label,\n",
              ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
              "  background-color: var(--xr-background-color-row-odd);\n",
              "  border-color: var(--xr-background-color-row-even);\n",
              "}\n",
              "\n",
              ".xr-var-name {\n",
              "  grid-column: 1;\n",
              "}\n",
              "\n",
              ".xr-var-dims {\n",
              "  grid-column: 2;\n",
              "}\n",
              "\n",
              ".xr-var-dtype {\n",
              "  grid-column: 3;\n",
              "  text-align: right;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-var-preview {\n",
              "  grid-column: 4;\n",
              "}\n",
              "\n",
              ".xr-index-preview {\n",
              "  grid-column: 2 / 5;\n",
              "  color: var(--xr-font-color2);\n",
              "}\n",
              "\n",
              ".xr-var-name,\n",
              ".xr-var-dims,\n",
              ".xr-var-dtype,\n",
              ".xr-preview,\n",
              ".xr-attrs dt {\n",
              "  white-space: nowrap;\n",
              "  overflow: hidden;\n",
              "  text-overflow: ellipsis;\n",
              "  padding-right: 10px;\n",
              "}\n",
              "\n",
              ".xr-var-name:hover,\n",
              ".xr-var-dims:hover,\n",
              ".xr-var-dtype:hover,\n",
              ".xr-attrs dt:hover {\n",
              "  overflow: visible;\n",
              "  width: auto;\n",
              "  z-index: 1;\n",
              "}\n",
              "\n",
              ".xr-var-attrs,\n",
              ".xr-var-data,\n",
              ".xr-index-data {\n",
              "  display: none;\n",
              "  border-top: 2px dotted var(--xr-background-color);\n",
              "  padding-bottom: 20px !important;\n",
              "  padding-top: 10px !important;\n",
              "}\n",
              "\n",
              ".xr-var-attrs-in + label,\n",
              ".xr-var-data-in + label,\n",
              ".xr-index-data-in + label {\n",
              "  padding: 0 1px;\n",
              "}\n",
              "\n",
              ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
              ".xr-var-data-in:checked ~ .xr-var-data,\n",
              ".xr-index-data-in:checked ~ .xr-index-data {\n",
              "  display: block;\n",
              "}\n",
              "\n",
              ".xr-var-data > table {\n",
              "  float: right;\n",
              "}\n",
              "\n",
              ".xr-var-data > pre,\n",
              ".xr-index-data > pre,\n",
              ".xr-var-data > table > tbody > tr {\n",
              "  background-color: transparent !important;\n",
              "}\n",
              "\n",
              ".xr-var-name span,\n",
              ".xr-var-data,\n",
              ".xr-index-name div,\n",
              ".xr-index-data,\n",
              ".xr-attrs {\n",
              "  padding-left: 25px !important;\n",
              "}\n",
              "\n",
              ".xr-attrs,\n",
              ".xr-var-attrs,\n",
              ".xr-var-data,\n",
              ".xr-index-data {\n",
              "  grid-column: 1 / -1;\n",
              "}\n",
              "\n",
              "dl.xr-attrs {\n",
              "  padding: 0;\n",
              "  margin: 0;\n",
              "  display: grid;\n",
              "  grid-template-columns: 125px auto;\n",
              "}\n",
              "\n",
              ".xr-attrs dt,\n",
              ".xr-attrs dd {\n",
              "  padding: 0;\n",
              "  margin: 0;\n",
              "  float: left;\n",
              "  padding-right: 10px;\n",
              "  width: auto;\n",
              "}\n",
              "\n",
              ".xr-attrs dt {\n",
              "  font-weight: normal;\n",
              "  grid-column: 1;\n",
              "}\n",
              "\n",
              ".xr-attrs dt:hover span {\n",
              "  display: inline-block;\n",
              "  background: var(--xr-background-color);\n",
              "  padding-right: 10px;\n",
              "}\n",
              "\n",
              ".xr-attrs dd {\n",
              "  grid-column: 2;\n",
              "  white-space: pre-wrap;\n",
              "  word-break: break-all;\n",
              "}\n",
              "\n",
              ".xr-icon-database,\n",
              ".xr-icon-file-text2,\n",
              ".xr-no-icon {\n",
              "  display: inline-block;\n",
              "  vertical-align: middle;\n",
              "  width: 1em;\n",
              "  height: 1.5em !important;\n",
              "  stroke-width: 0;\n",
              "  stroke: currentColor;\n",
              "  fill: currentColor;\n",
              "}\n",
              "\n",
              ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
              ".xr-var-data-in:checked + label > .xr-icon-database,\n",
              ".xr-index-data-in:checked + label > .xr-icon-database {\n",
              "  color: var(--xr-font-color0);\n",
              "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
              "  stroke-width: 0.8px;\n",
              "}\n",
              "</style><pre class='xr-text-repr-fallback'>&lt;xarray.ModalPortDataArray ()&gt; Size: 16B\n",
              "array(0.33856972-0.6104183j)\n",
              "Coordinates:\n",
              "    port_out        &lt;U9 36B &#x27;right_bot&#x27;\n",
              "    port_in         &lt;U9 36B &#x27;left_top&#x27;\n",
              "    mode_index_out  int64 8B 0\n",
              "    mode_index_in   int64 8B 0\n",
              "    f               float64 8B 1.933e+14</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.ModalPortDataArray</div><div class='xr-obj-name'></div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6470d42b-423d-47d2-b062-cfa52852e0c7' class='xr-array-in' type='checkbox' checked><label for='section-6470d42b-423d-47d2-b062-cfa52852e0c7' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>(0.33856971726541585-0.6104183000989141j)</span></div><div class='xr-array-data'><pre>array(0.33856972-0.6104183j)</pre></div></div></li><li class='xr-section-item'><input id='section-9883b994-14c9-4e63-b1d9-80ed2391e8ad' class='xr-section-summary-in' type='checkbox' checked /><label for='section-9883b994-14c9-4e63-b1d9-80ed2391e8ad' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>port_out</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U9</div><div class='xr-var-preview xr-preview'>&#x27;right_bot&#x27;</div><input id='attrs-c7028b8a-0809-4e00-bf62-7231721d5690' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c7028b8a-0809-4e00-bf62-7231721d5690' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1075d989-0373-4d82-93cc-4304b1fa965e' class='xr-var-data-in' type='checkbox'><label for='data-1075d989-0373-4d82-93cc-4304b1fa965e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;right_bot&#x27;, dtype=&#x27;&lt;U9&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>port_in</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&lt;U9</div><div class='xr-var-preview xr-preview'>&#x27;left_top&#x27;</div><input id='attrs-6ad07e1b-2982-4902-b56d-be243e9657e0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6ad07e1b-2982-4902-b56d-be243e9657e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-175ae053-f0af-486c-8593-2af96da5e33c' class='xr-var-data-in' type='checkbox'><label for='data-175ae053-f0af-486c-8593-2af96da5e33c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;left_top&#x27;, dtype=&#x27;&lt;U9&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mode_index_out</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-870a07fc-5674-4608-a425-33a228156e39' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-870a07fc-5674-4608-a425-33a228156e39' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7be10eb6-0d49-4181-9433-2d3b1743aeb2' class='xr-var-data-in' type='checkbox'><label for='data-7be10eb6-0d49-4181-9433-2d3b1743aeb2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mode_index_in</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-dce74435-3c44-4d90-82d6-910b1a794e0e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dce74435-3c44-4d90-82d6-910b1a794e0e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-047540cf-ec49-4bd6-889b-05d0d5a818f9' class='xr-var-data-in' type='checkbox'><label for='data-047540cf-ec49-4bd6-889b-05d0d5a818f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>f</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.933e+14</div><input id='attrs-5ab3877d-cf61-454f-a609-79a31ae1fd8a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5ab3877d-cf61-454f-a609-79a31ae1fd8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2f6ecde-5443-49d8-bf75-6b40125ae854' class='xr-var-data-in' type='checkbox'><label for='data-b2f6ecde-5443-49d8-bf75-6b40125ae854' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1.93254642e+14)</pre></div></li></ul></div></li></ul></div></div>"
            ]
          }
        }
      ],
      "source": [
        "smatrix = modeler_data.smatrix()\n",
        "smatrix.loc[dict(port_in=\"left_top\", mode_index_in=0, port_out=\"right_bot\", mode_index_out=0)].sel(\n",
        "    f=freq0, method=\"nearest\"\n",
        ")"
      ],
      "id": "62009a6a"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Alternatively, we can convert this into a numpy array. Note that it has\n",
        "the shape of `(port_in, port_out, mode_in, mode_out, frequency)`."
      ],
      "id": "35c31596-3b44-45dd-9c31-e0905766ef9d"
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Shape of S-matrix numpy array:  (4, 4, 1, 1, 40)"
          ]
        }
      ],
      "source": [
        "print(\"Shape of S-matrix numpy array: \", np.array(smatrix).shape)"
      ],
      "id": "d983a04e"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We can plot the transmission from top left to top right and bottom right\n",
        "as function of wavelength."
      ],
      "id": "ab51edc4-7601-47c0-86aa-7fdc3afeeec8"
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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l9tmzZ6P9OHv37rXcfjlT8/nz5zpy5Ig2b96so0eP6sWL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qXiJJfZs2fTqVMnIiIiAEiTJg3BwcHcvXuXiRMnsnTpUnbs2EG+fPleuy8vL69njvRMly5dvMlV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          }
        }
      ],
      "source": [
        "T_top_to_top = (\n",
        "    abs(\n",
        "        smatrix.loc[\n",
        "            dict(port_in=\"left_top\", mode_index_in=0, port_out=\"right_top\", mode_index_out=0)\n",
        "        ]\n",
        "    )\n",
        "    ** 2\n",
        ")\n",
        "T_top_to_bot = (\n",
        "    abs(\n",
        "        smatrix.loc[\n",
        "            dict(port_in=\"left_top\", mode_index_in=0, port_out=\"right_bot\", mode_index_out=0)\n",
        "        ]\n",
        "    )\n",
        "    ** 2\n",
        ")\n",
        "\n",
        "plt.figure(figsize=(8, 5))\n",
        "plt.plot(lambda_range, T_top_to_top, label=\"left_top → right_top\")\n",
        "plt.plot(lambda_range, T_top_to_bot, label=\"left_top → right_bot\")\n",
        "plt.xlabel(\"Wavelength (μm)\")\n",
        "plt.ylabel(\"Transmission\")\n",
        "plt.title(\"Directional Coupler Transmission\")\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "\n",
        "plt.show()"
      ],
      "id": "38c48b93"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "We can inspect the matrix `S` at a single frequency `S` and note that\n",
        "the diagonal elements are very small indicating low backscattering.\n",
        "Summing each rows of the matrix should give 1.0 if no power was lost."
      ],
      "id": "ed800557-a950-48f4-9774-5b1c014a0506"
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/plain": [
              "array([0.98362824, 0.98362824, 0.9832272 , 0.98322703])"
            ]
          }
        }
      ],
      "source": [
        "S = np.squeeze(smatrix.sel(f=freq0, method=\"nearest\").values)\n",
        "np.sum(abs(S) ** 2, axis=0)"
      ],
      "id": "95aba6b5"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "There is a little power loss since the coupler was not optimized, most\n",
        "likely scattering from the bends and coupling region.\n",
        "\n",
        "Finally, we can check whether `S` is close to unitary as expected. S\n",
        "times its Hermitian conjugate should be the identity matrix."
      ],
      "id": "ee508c05-f883-44bb-9488-35257d9a2989"
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {},
      "outputs": [],
      "source": [
        "mat = S @ (np.conj(S.T))"
      ],
      "id": "1706d994"
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "image/png": 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MjNRPP/2kJk2aONvEx8dr9OjRGb72qFGj9N57791yOiwAAOD5Bg8e7PI6+UNt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\nvsZZbnLx4kWdOnVKcXFxOnD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          }
        }
      ],
      "source": [
        "f, (ax1, ax2, ax3) = plt.subplots(1, 3, tight_layout=True, figsize=(10, 3.5))\n",
        "imabs = ax1.matshow(abs(mat))\n",
        "vmax = np.abs(mat.real).max()\n",
        "imreal = ax2.matshow(mat.real, cmap=\"RdBu\", vmin=-vmax, vmax=vmax)\n",
        "vmax = np.abs(mat.imag).max()\n",
        "imimag = ax3.matshow(mat.imag, cmap=\"RdBu\", vmin=-vmax, vmax=vmax)\n",
        "ax1.set_title(r\"$|S^\\dagger S|$\")\n",
        "ax2.set_title(r\"$\\Re\\{S^\\dagger S\\}$\")\n",
        "ax3.set_title(r\"$\\Im\\{S^\\dagger S\\}$\")\n",
        "plt.colorbar(imabs, ax=ax1)\n",
        "plt.colorbar(imreal, ax=ax2)\n",
        "plt.colorbar(imimag, ax=ax3)\n",
        "ax1.grid(False)\n",
        "ax2.grid(False)\n",
        "ax3.grid(False)"
      ],
      "id": "960468bf"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "It looks pretty close, but there seems to indeed be a bit of loss\n",
        "(expected).\n",
        "\n",
        "## Viewing individual Simulation Data\n",
        "\n",
        "To verify, we may want to take a look the individual simulation data.\n",
        "For that, we can use `modeler_data.data`, which stores a dictionary\n",
        "mapping for each port and mode to a regular FDTD\n",
        "[SimulationData](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Simulation.html)\n",
        "object."
      ],
      "id": "0e6b1f93-d6d9-46bb-83e8-408f09492ab0"
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
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IiIiIiIyN3teqpBGhNNVIMct8COwhKFaBqAYlBl2iwCMGPnWTR+/alKnrkspLhUdLQsFKaLdMol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\ntrtAyQUveR8dsoCuUmT/MxpVDW0ykI4xxrb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6uEBjIFd1pDbXk+is6C7/IpX83trXDxcJ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a5OlEGSuL5CGghRi3IJxtdZVYSqUn4dmphtpTSU8uLPRMObIYLIwlS+5kqgKoXvK4JAkchC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\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sYjlgUJ8nXa1z5WqbC1X3kPSJxjleartA5svBeTZ811av591mlHbdPckG5HZU3MQUa4tA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\noz+672v7hQN7vd6B4clZH/nIRwBYXl6+5zDkm970Jj72sY+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i5+Y+cYtcb2Plg5FGpKW4EWkdLuW+HZX6/hJV8HpH9huR86Ovhd+q29+2DBUEMsNgpPKtza3I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wId16FeDfDcgGrxclaLl1QyOW6aksUpSZIzizI7ijsxkKbkWU5gIMnt+sKsRGps82Zm9goz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\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nOsD6Imj3NNq5H3PbTtA5nSKtW6sws/6xuVNJxNhzjrTuHWEW9s8sJXFjGWPdcxYKgpG+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n8WgHa4Tj9sAuenRBoTDNtnY5zzUyITzp6fPPT7h4iIiIjczj7/+c9z4sQJAH70R3/0gnbWF7O8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\nrZ/lzPoJAH5zdZFHL/nlN8wVvPvsKgBv/OpN0neeA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p0hzcGQQWdAw1quhykPCnhh0+98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          }
        }
      ],
      "source": [
        "f, (ax1, ax2) = plt.subplots(2, 1, tight_layout=True, figsize=(15, 10))\n",
        "ax1 = modeler_data.data[\"left_top@0\"].plot_field(\n",
        "    \"field\", field_name=\"E\", val=\"abs^2\", z=wg_height / 2, ax=ax1\n",
        ")\n",
        "ax2 = modeler_data.data[\"right_bot@0\"].plot_field(\n",
        "    \"field\", field_name=\"E\", val=\"abs^2\", z=wg_height / 2, ax=ax2\n",
        ")"
      ],
      "id": "7ae0b327"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Element Mappings\n",
        "\n",
        "If we wish, we can specify mappings between scattering matrix elements\n",
        "that we want to be equal up to a multiplicative factor. We can define\n",
        "these as `element_mappings` in the `ComponentModeler`.\n",
        "\n",
        "“Indices” are defined as a tuple of `(port_name: str, mode_index: int)`\n",
        "\n",
        "“Elements” are defined as a tuple of output and input indices,\n",
        "respectively.\n",
        "\n",
        "The element mappings are therefore defined as a tuple of\n",
        "`(element, element, value)` where the second `element` is set by the\n",
        "value of the 1st `element` times the supplied `value`.\n",
        "\n",
        "As an example, let’s define this element mapping from the example above\n",
        "to enforce that the coupling between bottom left to bottom right should\n",
        "be equal to the coupling between top left to top right."
      ],
      "id": "59985c58-36e6-4599-9b79-233073557eed"
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {},
      "outputs": [],
      "source": [
        "# these are the \"indices\" in our scattering matrix\n",
        "left_top = (\"left_top\", 0)\n",
        "right_top = (\"right_top\", 0)\n",
        "left_bot = (\"left_bot\", 0)\n",
        "right_bot = (\"right_bot\", 0)\n",
        "\n",
        "# we define the scattering matrix elements coupling the top ports and bottom ports as pairs of these indices\n",
        "top_coupling_r2l = (left_top, right_top)\n",
        "bot_coupling_r2l = (left_bot, right_bot)\n",
        "top_coupling_l2r = (right_top, left_top)\n",
        "bot_coupling_l2r = (right_bot, left_bot)\n",
        "\n",
        "# map the top coupling to the bottom coupling with a multiplicative factor of +1\n",
        "map_horizontal_l2r = (top_coupling_l2r, bot_coupling_l2r, +1)\n",
        "map_horizontal_r2l = (top_coupling_r2l, bot_coupling_r2l, +1)\n",
        "\n",
        "element_mappings = (map_horizontal_l2r, map_horizontal_r2l)"
      ],
      "id": "8fd889a6"
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:03:46 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'directional coupler with mappings'</span> with resource_id  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'sid-0d177795-5552-42ce-87ea-35525ca6dade'</span> and task_type           \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'MODAL_CM'</span>.                                                        \n",
              "</pre>"
            ]
          }
        },
        {
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          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
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              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "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>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:03:56 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.760</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the billed FlexCredit cost after a simulation run.             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:03:57 UTC </span>Subtasks status - directional coupler with mappings                \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Group ID: <span style=\"color: #008000; text-decoration-color: #008000\">'pa-123531b8-ad7e-4ee9-974b-e2f8002ee6fc'</span>                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
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              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;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>Batch status = preprocess                                          \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:04:30 UTC </span>Batch status = queued <span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span><span style=\"font-weight: bold\">)</span>                                        \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:04:32 UTC </span>Batch status = running <span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span><span style=\"font-weight: bold\">)</span>                                       \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:04:34 UTC </span>Batch status = running                                             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:05:16 UTC </span>Batch status = running <span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span><span style=\"font-weight: bold\">)</span>                                       \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:05:22 UTC </span>Batch status = running <span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span><span style=\"font-weight: bold\">)</span>                                       \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:05:24 UTC </span>Batch status = success <span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span><span style=\"font-weight: bold\">)</span>                                       \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:05:35 UTC </span>Batch status = success <span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span><span style=\"font-weight: bold\">)</span>                                       \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:06:08 UTC </span>Batch status = success                                             \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:06:36 UTC </span>Batch status = postprocess_success                                 \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:06:39 UTC </span>Modeler has finished running successfully.                         \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;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>Billed flex credit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.967</span>.                                    \n",
              "</pre>"
            ]
          }
        },
        {
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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>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
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              "</script>"
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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>"
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        },
        {
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          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:06:51 UTC </span>Loading results from cm_data.hdf5                                  \n",
              "</pre>"
            ]
          }
        }
      ],
      "source": [
        "# run the component modeler again\n",
        "modeler = ModalComponentModeler(\n",
        "    simulation=sim,\n",
        "    ports=ports,\n",
        "    freqs=freqs,\n",
        "    element_mappings=element_mappings,\n",
        ")\n",
        "modeler_data = web.run(modeler, task_name=\"directional coupler with mappings\", verbose=True)\n",
        "smatrix = modeler_data.smatrix()"
      ],
      "id": "7515df32"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "The resulting scattering matrix will have the element mappings applied,\n",
        "we can check this explicitly."
      ],
      "id": "f3dd7221-8818-4082-a509-09dc03580f9e"
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "top to top coupling       = -0.61749-0.33711j\n",
            "bottom to bottom coupling = -0.61749-0.33711j"
          ]
        }
      ],
      "source": [
        "# assert that the horizontal coupling elements are exactly equal\n",
        "smatrix_f0 = smatrix.sel(f=freq0, method=\"nearest\")\n",
        "LT_RT = np.squeeze(\n",
        "    smatrix_f0.loc[\n",
        "        dict(port_in=\"left_top\", mode_index_in=0, port_out=\"right_top\", mode_index_out=0)\n",
        "    ]\n",
        ")\n",
        "LB_RB = np.squeeze(\n",
        "    smatrix_f0.loc[\n",
        "        dict(port_in=\"left_bot\", mode_index_in=0, port_out=\"right_bot\", mode_index_out=0)\n",
        "    ]\n",
        ")\n",
        "print(f\"top to top coupling       = {LT_RT:.5f}\")\n",
        "print(f\"bottom to bottom coupling = {LB_RB:.5f}\")\n",
        "\n",
        "assert np.isclose(LT_RT, LB_RB)"
      ],
      "id": "28960e5e"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Incomplete Scattering Matrix\n",
        "\n",
        "Finally, to exclude some rows of the scattering matrix, one can supply a\n",
        "`run_only` parameter to the `ComponentModeler`.\n",
        "\n",
        "`run_only` contains the scattering matrix indices that the user wants to\n",
        "run as a source. If any indices are excluded, they will not be run.\n",
        "\n",
        "For example, if one wants to compute scattering matrix elements from\n",
        "only the ports on the left hand side, the `run_only` could be defined as\n",
        "follows."
      ],
      "id": "ef8242ad-4f6f-48e8-8ce0-1e965ee4a172"
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {},
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:06:54 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'directional coupler run only'</span> with resource_id       \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'sid-b36440d3-493c-4fb9-9a88-6c0c5c2b45a7'</span> and task_type           \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'MODAL_CM'</span>.                                                        \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
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              "</script>"
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        },
        {
          "output_type": "display_data",
          "metadata": {},
          "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>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:07:04 UTC </span>Estimated FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.880</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to  \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>get the billed FlexCredit cost after a simulation run.             \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;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>Subtasks status - directional coupler run only                     \n",
              "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Group ID: <span style=\"color: #008000; text-decoration-color: #008000\">'pa-8fbb3cdc-72c9-4c38-846e-f4a0539423bc'</span>                \n",
              "</pre>"
            ]
          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<script type=\"application/vnd.jupyter.widget-view+json\">\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>Batch status = preprocess                                          \n",
              "</pre>"
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          }
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:07:35 UTC </span>Batch status = running <span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"font-weight: bold\">)</span>                                       \n",
              "</pre>"
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        },
        {
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          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:07:37 UTC </span>Batch status = running                                             \n",
              "</pre>"
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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\">07:08:01 UTC </span>Batch status = postprocess <span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"font-weight: bold\">)</span>                                   \n",
              "</pre>"
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          }
        },
        {
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          "metadata": {},
          "data": {
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:08:03 UTC </span>Batch status = postprocess                                         \n",
              "</pre>"
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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\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">07:08:05 UTC </span>Batch status = success <span style=\"font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span>/<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"font-weight: bold\">)</span>                                       \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\">07:08:08 UTC </span>Batch status = success                                             \n",
              "</pre>"
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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\">07:09:13 UTC </span>Batch status = postprocess_success                                 \n",
              "</pre>"
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        {
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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\">07:09:15 UTC </span>Modeler has finished running successfully.                         \n",
              "</pre>"
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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\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Billed flex credit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.451</span>.                                    \n",
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              "<script type=\"application/vnd.jupyter.widget-view+json\">\n",
              "{\"model_id\":\"da755fa868bd472a8a07daee7f4aba39\",\"version_major\":2,\"version_minor\":0,\"quarto_mimetype\":\"application/vnd.jupyter.widget-view+json\"}\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\">07:09:20 UTC </span>Loading results from cm_data.hdf5                                  \n",
              "</pre>"
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          }
        }
      ],
      "source": [
        "run_only = (left_top, left_bot)\n",
        "modeler = ModalComponentModeler(\n",
        "    simulation=sim,\n",
        "    ports=ports,\n",
        "    freqs=[freq0],\n",
        "    run_only=run_only,\n",
        ")\n",
        "modeler_data = web.run(modeler, task_name=\"directional coupler run only\", verbose=True)\n",
        "smatrix = modeler_data.smatrix()\n",
        "smatrix_f0 = smatrix.sel(f=freq0, method=\"nearest\")"
      ],
      "id": "9d0a369d"
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "The resulting scattering matrix will have all zeros for elements\n",
        "corresponding to ports not included in the in `run_only` inputs."
      ],
      "id": "974a3372-9c42-42ac-bdc7-c8f2e2e3f862"
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {},
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "output from run_only port     : \n",
            " [0.70585329 0.69515953 0.02970489 0.02834537]"
          ]
        }
      ],
      "source": [
        "s_matrix_left_top = np.squeeze(smatrix_f0.loc[dict(port_in=\"left_top\")])\n",
        "\n",
        "print(\"output from run_only port     : \\n\", np.abs(s_matrix_left_top.values))\n",
        "\n",
        "assert \"right_top\" not in smatrix.coords[\"port_in\"]"
      ],
      "id": "1a1cfef8"
    }
  ],
  "nbformat": 4,
  "nbformat_minor": 5,
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      "language": "python",
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