{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "4934d7d5",
   "metadata": {},
   "source": [
    "# Broadband polarizer assisted by anisotropic metamaterial"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "40ab819c",
   "metadata": {},
   "source": [
    "Silicon photonic polarizers are specialized optical devices designed to filter, control, and manipulate the polarization state of light in integrated photonic circuits. Comprising carefully engineered silicon waveguide structures, these polarizers play a crucial role in ensuring the efficient and reliable operation of various optical communication and sensing systems. Over the years, various silicon photonic polarizer designs have been proposed. However, most designs suffer from a narrow working bandwidth or a large device footprint. \n",
    "\n",
    "A polarizer design demonstrated by `Hongnan Xu, Daoxin Dai, and Yaocheng Shi, \"Anisotropic metamaterial-assisted all-silicon polarizer with 415-nm bandwidth,\" *Photon. Res.* 7, 1432-1439 (2019)`, [DOI: 10.1364/PRJ.7.001432](https://doi.org/10.1364/PRJ.7.001432) utilizes anisotropic subwavelength grating (SWG) metamaterial cladding to a 180 degree waveguide bend. This polarizer design preserves the TE mode and filters out TM mode in a broad wavelength range of 400 nm. The footprint of the device is also more compact than many of the previous designs.\n",
    "\n",
    "<img src=\"img/swg_polarizer.png\" width=\"500\" alt=\"Schematic of the polarizer\">\n",
    "\n",
    "For more integrated photonic examples such as the [8-Channel mode and polarization de-multiplexer](https://www.flexcompute.com/tidy3d/examples/notebooks/8ChannelDemultiplexer/), the [broadband bi-level taper polarization rotator-splitter](https://www.flexcompute.com/tidy3d/examples/notebooks/BilevelPSR/), and the [broadband directional coupler](https://www.flexcompute.com/tidy3d/examples/notebooks/BroadbandDirectionalCoupler/), please visit our [examples page](https://www.flexcompute.com/tidy3d/examples/).\n",
    "\n",
    "If you are new to the finite-difference time-domain (FDTD) method, we highly recommend going through our [FDTD101](https://www.flexcompute.com/fdtd101/) tutorials. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2c895609",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T23:32:56.262487Z",
     "iopub.status.busy": "2023-08-18T23:32:56.262342Z",
     "iopub.status.idle": "2023-08-18T23:32:57.750513Z",
     "shell.execute_reply": "2023-08-18T23:32:57.749871Z"
    }
   },
   "outputs": [],
   "source": [
    "import gdstk\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import tidy3d as td\n",
    "import tidy3d.web as web"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "457c41d4",
   "metadata": {},
   "source": [
    "## Effective Anisotropic Refractive Index Tensor of the SWG"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c22f3c7f",
   "metadata": {},
   "source": [
    "For this device, first we are going to make a regular 180 degree waveguide bend. In the bending region, we are going to add an SWG metamaterial parallel to the bend. The SWG metamaterial acts as an effective medium with an anisotropic refractive index tensor. The ordinary and extraordinary refractive indices are given by the well known Rytov's approximation: $1/n_e^2=f/n_{si}^2+(1-f)/n_{air}^2$ and $n_o^2=fn_{si}^2+(1-f)n_{air}^2$, where $f$ is the duty cycle of the SWG. We can investigate how the effective indices vary with $f$.\n",
    "\n",
    "From the result, we notice that $n_0$ is much larger than $n_e$ when $f$ is not close to 0 or 1. Since the TE waveguide mode has the electric field primarily in the extraordinary direction while the TM mode has the electric field primarily in the ordinary direction, they will feel very different refractive index in the SWG metamaterial. For TE mode, the refractive index is much lower than $n_{si}$ so it should stay guided inside the waveguide. For TM mode, on the other hand, the effective refractive index is close to $n_{si}$ so it will be guided into the SWG metamaterial region and radiates out. This way, the waveguide bend together with the SWG metamaterial functions as a polarizer that passes TE mode and suppresses TM mode. \n",
    "\n",
    "For a more detailed discussion, please refer to the [reference](https://doi.org/10.1364/PRJ.7.001432)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "fb9ac59c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T23:32:57.759726Z",
     "iopub.status.busy": "2023-08-18T23:32:57.759253Z",
     "iopub.status.idle": "2023-08-18T23:32:58.038117Z",
     "shell.execute_reply": "2023-08-18T23:32:58.037587Z"
    }
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "n_si = 3.47\n",
    "\n",
    "f = np.linspace(0, 1, 30)\n",
    "n_e = np.sqrt(1 / (f / n_si**2 + (1 - f)))\n",
    "n_o = np.sqrt(f * n_si**2 + (1 - f))\n",
    "plt.plot(f, n_e, label=\"$n_e$\")\n",
    "plt.plot(f, n_o, label=\"$n_o$\")\n",
    "plt.xlabel(\"$f$\")\n",
    "plt.ylabel(\"Effective index\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7fa9ad1",
   "metadata": {},
   "source": [
    "## Structure Setup "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0fe841cb",
   "metadata": {},
   "source": [
    "The simulation wavelength range is from 1260 nm to 1675 nm. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "77db6fae",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T23:32:58.040504Z",
     "iopub.status.busy": "2023-08-18T23:32:58.040297Z",
     "iopub.status.idle": "2023-08-18T23:32:58.060389Z",
     "shell.execute_reply": "2023-08-18T23:32:58.059867Z"
    }
   },
   "outputs": [],
   "source": [
    "lda_min = 1.26  # minimal wavelength\n",
    "lda_max = 1.675  # maximal wavelength\n",
    "lda0 = (lda_min + lda_max) / 2  # central wavelength\n",
    "freqs = np.linspace(td.C_0 / lda_max, td.C_0 / lda_min, 301)  # frequency range\n",
    "freq0 = td.C_0 / lda0  # central frequency\n",
    "\n",
    "fwidth = 0.4 * (td.C_0 / lda_min - td.C_0 / lda_max)  # width of the frequency range of the source"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8b674750",
   "metadata": {},
   "source": [
    "Next, we define the media used in the simulation. Since the simulation is very broadband, it is better to use dispersive media. We can use the crystalline silicon and silicon dioxide from Tidy3D's built-in [material library](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/material_library.html)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b0ab4109",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T23:32:58.062773Z",
     "iopub.status.busy": "2023-08-18T23:32:58.062581Z",
     "iopub.status.idle": "2023-08-18T23:32:58.081603Z",
     "shell.execute_reply": "2023-08-18T23:32:58.081082Z"
    }
   },
   "outputs": [],
   "source": [
    "si = td.material_library[\"cSi\"][\"Li1993_293K\"]\n",
    "sio2 = td.material_library[\"SiO2\"][\"Horiba\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "09c19c47",
   "metadata": {},
   "source": [
    "The silicon layer has a thickness of 250 nm. To stay at single mode operation, the waveguide width is chosen to be 360 nm. The design parameters such as waveguide bend radius, period of the SWG, maximal and minimal duty cycles, and the number of SWG layers need to be optimized for the design. This is explored in the [reference](https://doi.org/10.1364/PRJ.7.001432). Here we report the optimized parameters. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "497a6964",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T23:32:58.084012Z",
     "iopub.status.busy": "2023-08-18T23:32:58.083831Z",
     "iopub.status.idle": "2023-08-18T23:32:58.103581Z",
     "shell.execute_reply": "2023-08-18T23:32:58.103092Z"
    }
   },
   "outputs": [],
   "source": [
    "h_si = 0.25  # silicon layer thickness\n",
    "w_wg = 0.36  # waveguide width\n",
    "R_0 = 3.5  # radius of the waveguide bend\n",
    "p = 0.3  # period of the SWG\n",
    "f_M = 0.75  # maximal duty cycle\n",
    "f_m = 0.2  # minimal duty cycle\n",
    "N = 9  # number of SWG layers\n",
    "inf_eff = 1e3  # effective infinity"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "340efcfa",
   "metadata": {},
   "source": [
    "The radius of the $i$-th SWG layer is given by $R_i = R_0 + w_wg/2 + p(i-1/2)$ and the duty cycle of the layer is also given by a linear ramping $f_i=f_M+(f_m-f_M)(i-1)/(N-1)$. The width of the waveguide in each SWG layer is thus given by $pf_i$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "6de7b5c5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T23:32:58.105851Z",
     "iopub.status.busy": "2023-08-18T23:32:58.105673Z",
     "iopub.status.idle": "2023-08-18T23:32:58.125548Z",
     "shell.execute_reply": "2023-08-18T23:32:58.125021Z"
    }
   },
   "outputs": [],
   "source": [
    "R_is = [R_0 + w_wg / 2 + p * (i - 0.5) for i in range(1, N + 1)]  # radius of each SWG layer\n",
    "f_is = [\n",
    "    f_M + (f_m - f_M) * (i - 1) / (N - 1) for i in range(1, N + 1)\n",
    "]  # duty cycle of each SWG layer\n",
    "w_is = [p * f for f in f_is]  # waveguide width of each SWG layer\n",
    "\n",
    "# insert the circular waveguide band into the list\n",
    "R_is.insert(0, R_0)\n",
    "w_is.insert(0, w_wg)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "670ce919",
   "metadata": {},
   "source": [
    "With all the parameters determined, we can set up the geometries. One easy way is to make use of the `gdstk` library as demonstrated below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ac6bf1fd",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T23:32:58.127993Z",
     "iopub.status.busy": "2023-08-18T23:32:58.127776Z",
     "iopub.status.idle": "2023-08-18T23:32:58.148935Z",
     "shell.execute_reply": "2023-08-18T23:32:58.148445Z"
    }
   },
   "outputs": [],
   "source": [
    "cell = gdstk.Cell(\"SWG\")  # define a gds cell\n",
    "\n",
    "# define a path of each swg layer\n",
    "for R_i, w_i in zip(R_is, w_is):\n",
    "    points_x = np.linspace(-R_i, R_i, 1001)  # x coordinates of the waveguide in the swg layer\n",
    "    points_y = np.sqrt(R_i**2 - points_x**2)  # y coordinates\n",
    "\n",
    "    # if it's the innermost waveguide bend, add two points to the coordinates to include the straight waveguides\n",
    "    if R_i == R_0:\n",
    "        points_x = np.insert(points_x, 0, -R_0)\n",
    "        points_y = np.insert(points_y, 0, -inf_eff)\n",
    "        points_x = np.append(points_x, R_0)\n",
    "        points_y = np.append(points_y, -inf_eff)\n",
    "\n",
    "    points = points_x + 1j * points_y\n",
    "\n",
    "    # add the path to the cell\n",
    "    cell.add(gdstk.FlexPath(points, w_i, layer=1, datatype=0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f4a3720c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T23:32:58.151062Z",
     "iopub.status.busy": "2023-08-18T23:32:58.150889Z",
     "iopub.status.idle": "2023-08-18T23:32:58.243075Z",
     "shell.execute_reply": "2023-08-18T23:32:58.242534Z"
    }
   },
   "outputs": [],
   "source": [
    "# define geometry from the paths in the cell\n",
    "device_geo = td.PolySlab.from_gds(\n",
    "    cell,\n",
    "    gds_layer=1,\n",
    "    axis=2,\n",
    "    slab_bounds=(0, h_si),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5dae2b90",
   "metadata": {},
   "source": [
    "To make sure the geometries are defined correctly, we can plot them first. From the plot, it indeed looks like the correct device."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c8ddae76",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T23:32:58.245467Z",
     "iopub.status.busy": "2023-08-18T23:32:58.245308Z",
     "iopub.status.idle": "2023-08-18T23:32:58.395364Z",
     "shell.execute_reply": "2023-08-18T23:32:58.394928Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "l_straight = 4\n",
    "pad = lda0\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "for geo in device_geo:\n",
    "    geo.plot(z=h_si / 2, ax=ax)\n",
    "ax.set_ylim(-l_straight, R_is[-1] + pad)\n",
    "ax.set_xlim(-R_is[-1] - pad, R_is[-1] + pad)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "23658597",
   "metadata": {},
   "source": [
    "Lastly, we define Tidy3D [Structures](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Structure.html) from the geometries. A silicon dioxide substrate structure is also defined."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "2bf9aff1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T23:32:58.398107Z",
     "iopub.status.busy": "2023-08-18T23:32:58.397871Z",
     "iopub.status.idle": "2023-08-18T23:32:58.420143Z",
     "shell.execute_reply": "2023-08-18T23:32:58.419605Z"
    }
   },
   "outputs": [],
   "source": [
    "device_structure = [td.Structure(geometry=geo, medium=si) for geo in device_geo]\n",
    "substrate = td.Structure(\n",
    "    geometry=td.Box.from_bounds(rmin=(-inf_eff, -inf_eff, -inf_eff), rmax=(inf_eff, inf_eff, 0)),\n",
    "    medium=sio2,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0e4a29e3",
   "metadata": {},
   "source": [
    "## TE Input Simulation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5dd56eda",
   "metadata": {},
   "source": [
    "To fully characterize the device performance, we need to simulate two cases: TE input and TM input. First, let's set up the simulation for the TE input. A [ModeSource](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.ModeSource.html) is defined to inject the TE mode at the input waveguide by setting `mode_index=0`. Note that since the simulation is quite broadband, we use a broadband source by setting `num_freqs = 10`, which accounts for the frequency-dependent mode profile."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "14a69a96",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T23:32:58.422552Z",
     "iopub.status.busy": "2023-08-18T23:32:58.422371Z",
     "iopub.status.idle": "2023-08-18T23:32:58.606117Z",
     "shell.execute_reply": "2023-08-18T23:32:58.605598Z"
    }
   },
   "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\">[16:32:58] </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Default value for the field monitor          </span> <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/components/monitor.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">monitor.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/components/monitor.py#261\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">261</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'colocate'</span><span style=\"color: #800000; text-decoration-color: #800000\"> setting has changed to </span><span style=\"color: #008000; text-decoration-color: #008000\">'True'</span><span style=\"color: #800000; text-decoration-color: #800000\"> in Tidy3D    </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">              </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </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\">. All field components will be colocated to the  </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">              </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #800000; text-decoration-color: #800000\">grid boundaries. Set to </span><span style=\"color: #008000; text-decoration-color: #008000\">'False'</span><span style=\"color: #800000; text-decoration-color: #800000\"> to get the raw fields </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">              </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #800000; text-decoration-color: #800000\">on the Yee grid instead.                              </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">              </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:32:58]\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Default value for the field monitor          \u001b[0m \u001b]8;id=372326;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/components/monitor.py\u001b\\\u001b[2mmonitor.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=346046;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/components/monitor.py#261\u001b\\\u001b[2m261\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b[32m'colocate'\u001b[0m\u001b[31m setting has changed to \u001b[0m\u001b[32m'True'\u001b[0m\u001b[31m in Tidy3D    \u001b[0m \u001b[2m              \u001b[0m\n",
       "\u001b[2;36m           \u001b[0m\u001b[1;36m2.4\u001b[0m\u001b[31m.\u001b[0m\u001b[1;36m0\u001b[0m\u001b[31m. All field components will be colocated to the  \u001b[0m \u001b[2m              \u001b[0m\n",
       "\u001b[2;36m           \u001b[0m\u001b[31mgrid boundaries. Set to \u001b[0m\u001b[32m'False'\u001b[0m\u001b[31m to get the raw fields \u001b[0m \u001b[2m              \u001b[0m\n",
       "\u001b[2;36m           \u001b[0m\u001b[31mon the Yee grid instead.                              \u001b[0m \u001b[2m              \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# define a mode source that injects the fundamental te mode\n",
    "mode_spec = td.ModeSpec(num_modes=2, target_neff=n_si)\n",
    "mode_source = td.ModeSource(\n",
    "    center=(-R_0, -l_straight / 2, h_si / 2),\n",
    "    size=(4 * w_wg, 0, 4 * h_si),\n",
    "    source_time=td.GaussianPulse(freq0=freq0, fwidth=fwidth),\n",
    "    direction=\"+\",\n",
    "    mode_spec=mode_spec,\n",
    "    mode_index=0,\n",
    "    num_freqs=10,\n",
    ")\n",
    "\n",
    "# define a mode monitor to measure the transmission of the mode\n",
    "mode_monitor = td.ModeMonitor(\n",
    "    center=(R_0, -l_straight * 0.9, h_si / 2),\n",
    "    size=mode_source.size,\n",
    "    freqs=freqs,\n",
    "    mode_spec=mode_spec,\n",
    "    name=\"mode\",\n",
    ")\n",
    "\n",
    "lda_field = 1.55  # frequency at which field is monitored\n",
    "\n",
    "# define a field monitor to visualize mode propagation\n",
    "field_monitor = td.FieldMonitor(\n",
    "    center=(0, 0, h_si / 2), size=(td.inf, td.inf, 0), freqs=[td.C_0 / lda_field], name=\"field\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "97e20c51",
   "metadata": {},
   "source": [
    "Define a Tidy3D [Simulation](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Simulation.html)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "01d2bc94",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T23:32:58.608417Z",
     "iopub.status.busy": "2023-08-18T23:32:58.608200Z",
     "iopub.status.idle": "2023-08-18T23:32:58.638198Z",
     "shell.execute_reply": "2023-08-18T23:32:58.637683Z"
    }
   },
   "outputs": [],
   "source": [
    "# simulation domain size\n",
    "Lx = 2 * (R_is[-1] + pad)\n",
    "Ly = l_straight + R_is[-1] + pad\n",
    "Lz = 8 * h_si\n",
    "\n",
    "run_time = 1e-12  # simulation run time\n",
    "\n",
    "# define a simulation\n",
    "sim_te = td.Simulation(\n",
    "    center=(0, 0.5 * (R_is[-1] + pad - l_straight), 0),\n",
    "    size=(Lx, Ly, Lz),\n",
    "    grid_spec=td.GridSpec.auto(min_steps_per_wvl=20, wavelength=lda0),\n",
    "    structures=device_structure + [substrate],\n",
    "    sources=[mode_source],\n",
    "    monitors=[mode_monitor, field_monitor],\n",
    "    run_time=run_time,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bd7b374d",
   "metadata": {},
   "source": [
    "Visualize the simulation setup before submitting it to the server."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "32e048b1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T23:32:58.640574Z",
     "iopub.status.busy": "2023-08-18T23:32:58.640390Z",
     "iopub.status.idle": "2023-08-18T23:32:58.855665Z",
     "shell.execute_reply": "2023-08-18T23:32:58.855137Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_te.plot(z=h_si / 2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "deb1a38b",
   "metadata": {},
   "source": [
    "Submit the simulation to the server."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "bffc63bb",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T23:32:58.858254Z",
     "iopub.status.busy": "2023-08-18T23:32:58.858033Z",
     "iopub.status.idle": "2023-08-18T23:37:04.749016Z",
     "shell.execute_reply": "2023-08-18T23:37:04.748426Z"
    }
   },
   "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\">[16:32:59] </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'TE_mode'</span> with task_id                     <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#188\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">188</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-9f8e016c-918d-4504-a6c7-b4fa9229596dv1'</span>.          <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:32:59]\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'TE_mode'\u001b[0m with task_id                     \u001b]8;id=952158;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=307365;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#188\u001b\\\u001b[2m188\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b[32m'fdve-9f8e016c-918d-4504-a6c7-b4fa9229596dv1'\u001b[0m.          \u001b[2m             \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>View task using web UI at                               <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#190\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">190</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f8e016c-918d-4504-a6c7-b4fa9229596dv1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-</span></a> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f8e016c-918d-4504-a6c7-b4fa9229596dv1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">9f8e016c-918d-4504-a6c7-b4fa9229596dv1'</span></a>.                <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                               \u001b]8;id=126788;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=336375;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#190\u001b\\\u001b[2m190\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=743250;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f8e016c-918d-4504-a6c7-b4fa9229596dv1\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=689090;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f8e016c-918d-4504-a6c7-b4fa9229596dv1\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=743250;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f8e016c-918d-4504-a6c7-b4fa9229596dv1\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=244555;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f8e016c-918d-4504-a6c7-b4fa9229596dv1\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=743250;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f8e016c-918d-4504-a6c7-b4fa9229596dv1\u001b\\\u001b[32m-\u001b[0m\u001b]8;;\u001b\\ \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=743250;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9f8e016c-918d-4504-a6c7-b4fa9229596dv1\u001b\\\u001b[32m9f8e016c-918d-4504-a6c7-b4fa9229596dv1'\u001b[0m\u001b]8;;\u001b\\.                \u001b[2m             \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a88162c0b2284ca793e19696f736eb98",
       "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"
      ],
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[16:33:01] </span>status = queued                                         <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#361\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">361</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:33:01]\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                         \u001b]8;id=303661;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=761665;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#361\u001b\\\u001b[2m361\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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      },
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[16:33:15] </span>status = preprocess                                     <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#355\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">355</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:33:15]\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                     \u001b]8;id=224537;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=949900;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#355\u001b\\\u001b[2m355\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[16:33:21] </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.361</span>. Use                     <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#341\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">341</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed FlexCredit   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>cost after a simulation run.                            <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:33:21]\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.361\u001b[0m. Use                     \u001b]8;id=966437;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=913103;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#341\u001b\\\u001b[2m341\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit   \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0mcost after a simulation run.                            \u001b[2m             \u001b[0m\n"
      ]
     },
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>starting up solver                                      <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#377\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">377</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                      \u001b]8;id=602257;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=102328;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#377\u001b\\\u001b[2m377\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>running solver                                          <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#386\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">386</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                          \u001b]8;id=618349;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=214382;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#386\u001b\\\u001b[2m386\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or   <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#387\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">387</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>web UI. Terminating the Python script will not stop the <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>job running on the cloud.                               <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or   \u001b]8;id=28980;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=945703;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#387\u001b\\\u001b[2m387\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the   \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0mweb UI. Terminating the Python script will not stop the \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0mjob running on the cloud.                               \u001b[2m             \u001b[0m\n"
      ]
     },
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      "text/plain": [
       "Output()"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[16:36:30] </span>early shutoff detected, exiting.                        <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#404\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">404</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:36:30]\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected, exiting.                        \u001b]8;id=290225;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=567737;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#404\u001b\\\u001b[2m404\u001b[0m\u001b]8;;\u001b\\\n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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    {
     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
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       "\n"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[16:36:31] </span>status = postprocess                                    <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#419\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">419</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:36:31]\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                    \u001b]8;id=271197;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=113681;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#419\u001b\\\u001b[2m419\u001b[0m\u001b]8;;\u001b\\\n"
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       "Output()"
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    },
    {
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      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[16:36:53] </span>status = success                                        <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#426\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">426</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:36:53]\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                        \u001b]8;id=11546;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=835569;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#426\u001b\\\u001b[2m426\u001b[0m\u001b]8;;\u001b\\\n"
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       "Output()"
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
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    },
    {
     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[16:37:04] </span>loading SimulationData from data/simulation_data.hdf5   <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#590\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">590</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:37:04]\u001b[0m\u001b[2;36m \u001b[0mloading SimulationData from data/simulation_data.hdf5   \u001b]8;id=505983;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=517255;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#590\u001b\\\u001b[2m590\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "job = web.Job(simulation=sim_te, task_name=\"TE_mode\")\n",
    "sim_data_te = job.run(path=\"data/simulation_data.hdf5\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9ca275db",
   "metadata": {},
   "source": [
    "## TM Input Simulation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9cf77f9b",
   "metadata": {},
   "source": [
    "Before analyzing the simulation result for the TE input case, let's run the TM input case first. To have a TM input simulation, we only need to update the `mode_index` to `1` in the [ModeSource](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.ModeSource.html). This can be done easily by copying the previous simulation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "3b194145",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T23:37:08.673642Z",
     "iopub.status.busy": "2023-08-18T23:37:08.673468Z",
     "iopub.status.idle": "2023-08-18T23:41:37.849787Z",
     "shell.execute_reply": "2023-08-18T23:41:37.849246Z"
    }
   },
   "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\">[16:37:08] </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'TM_mode'</span> with task_id                     <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#188\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">188</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-d44f5e5e-8cfa-4ffb-801f-4754e74e0fcav1'</span>.          <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:37:08]\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'TM_mode'\u001b[0m with task_id                     \u001b]8;id=290508;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=189357;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#188\u001b\\\u001b[2m188\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b[32m'fdve-d44f5e5e-8cfa-4ffb-801f-4754e74e0fcav1'\u001b[0m.          \u001b[2m             \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>View task using web UI at                               <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#190\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">190</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-d44f5e5e-8cfa-4ffb-801f-4754e74e0fcav1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-</span></a> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-d44f5e5e-8cfa-4ffb-801f-4754e74e0fcav1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">d44f5e5e-8cfa-4ffb-801f-4754e74e0fcav1'</span></a>.                <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                               \u001b]8;id=304986;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=901645;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#190\u001b\\\u001b[2m190\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=237424;https://tidy3d.simulation.cloud/workbench?taskId=fdve-d44f5e5e-8cfa-4ffb-801f-4754e74e0fcav1\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=405029;https://tidy3d.simulation.cloud/workbench?taskId=fdve-d44f5e5e-8cfa-4ffb-801f-4754e74e0fcav1\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=237424;https://tidy3d.simulation.cloud/workbench?taskId=fdve-d44f5e5e-8cfa-4ffb-801f-4754e74e0fcav1\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=92565;https://tidy3d.simulation.cloud/workbench?taskId=fdve-d44f5e5e-8cfa-4ffb-801f-4754e74e0fcav1\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=237424;https://tidy3d.simulation.cloud/workbench?taskId=fdve-d44f5e5e-8cfa-4ffb-801f-4754e74e0fcav1\u001b\\\u001b[32m-\u001b[0m\u001b]8;;\u001b\\ \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=237424;https://tidy3d.simulation.cloud/workbench?taskId=fdve-d44f5e5e-8cfa-4ffb-801f-4754e74e0fcav1\u001b\\\u001b[32md44f5e5e-8cfa-4ffb-801f-4754e74e0fcav1'\u001b[0m\u001b]8;;\u001b\\.                \u001b[2m             \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "efd24052a0a044aa854f90ca29a77310",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[16:37:10] </span>status = queued                                         <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#361\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">361</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:37:10]\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                         \u001b]8;id=443053;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=281222;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#361\u001b\\\u001b[2m361\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "26c6f3dc09c442318424b5386f147e1e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[16:37:19] </span>status = preprocess                                     <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#355\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">355</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:37:19]\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                     \u001b]8;id=456109;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=614426;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#355\u001b\\\u001b[2m355\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[16:37:25] </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.361</span>. Use                     <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#341\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">341</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed FlexCredit   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>cost after a simulation run.                            <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:37:25]\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.361\u001b[0m. Use                     \u001b]8;id=841390;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=970591;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#341\u001b\\\u001b[2m341\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit   \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0mcost after a simulation run.                            \u001b[2m             \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>starting up solver                                      <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#377\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">377</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                      \u001b]8;id=308832;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=428159;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#377\u001b\\\u001b[2m377\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>running solver                                          <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#386\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">386</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                          \u001b]8;id=78547;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=598009;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#386\u001b\\\u001b[2m386\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or   <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#387\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">387</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>web UI. Terminating the Python script will not stop the <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>job running on the cloud.                               <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or   \u001b]8;id=704557;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=48222;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#387\u001b\\\u001b[2m387\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the   \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0mweb UI. Terminating the Python script will not stop the \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0mjob running on the cloud.                               \u001b[2m             \u001b[0m\n"
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       "Output()"
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       "</pre>\n"
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       "\u001b[2;36m[16:41:09]\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected, exiting.                        \u001b]8;id=356363;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=204644;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#404\u001b\\\u001b[2m404\u001b[0m\u001b]8;;\u001b\\\n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>status = postprocess                                    <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#419\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">419</span></a>\n",
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       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                    \u001b]8;id=547767;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=709177;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#419\u001b\\\u001b[2m419\u001b[0m\u001b]8;;\u001b\\\n"
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       "\u001b[2;36m[16:41:32]\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                        \u001b]8;id=473778;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=55014;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#426\u001b\\\u001b[2m426\u001b[0m\u001b]8;;\u001b\\\n"
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       "\n"
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    {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[16:41:37] </span>loading SimulationData from data/simulation_data.hdf5   <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#590\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">590</span></a>\n",
       "</pre>\n"
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       "\u001b[2;36m[16:41:37]\u001b[0m\u001b[2;36m \u001b[0mloading SimulationData from data/simulation_data.hdf5   \u001b]8;id=619258;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=733558;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#590\u001b\\\u001b[2m590\u001b[0m\u001b]8;;\u001b\\\n"
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   ],
   "source": [
    "mode_source = mode_source.copy(\n",
    "    update={\"mode_index\": 1}\n",
    ")  # copy the mode source and update mode_index\n",
    "sim_tm = sim_te.copy(update={\"sources\": [mode_source]})  # copy the simulation and update the source\n",
    "\n",
    "job = web.Job(simulation=sim_tm, task_name=\"TM_mode\")\n",
    "sim_data_tm = job.run(path=\"data/simulation_data.hdf5\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e319ef45",
   "metadata": {},
   "source": [
    "## Result Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28ef5d96",
   "metadata": {},
   "source": [
    "Now that both simulations are complete, let's visualize the results. First, we plot the transmission spectra. We see that in the TE input, transmission is close to 0 dB while in the TM input case, transmission is below -20 dB. This is the desirable outcome for a polarizer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "0e7faf8a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T23:41:42.450648Z",
     "iopub.status.busy": "2023-08-18T23:41:42.450406Z",
     "iopub.status.idle": "2023-08-18T23:41:42.609515Z",
     "shell.execute_reply": "2023-08-18T23:41:42.608999Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "amp_te = sim_data_te[\"mode\"].amps.sel(mode_index=0, direction=\"-\")\n",
    "T_te = np.abs(amp_te) ** 2\n",
    "\n",
    "amp_tm = sim_data_tm[\"mode\"].amps.sel(mode_index=1, direction=\"-\")\n",
    "T_tm = np.abs(amp_tm) ** 2\n",
    "\n",
    "plt.plot(td.C_0 / freqs, 10 * np.log10(T_te), label=\"TE input\")\n",
    "plt.plot(td.C_0 / freqs, 10 * np.log10(T_tm), label=\"TM input\")\n",
    "plt.xlabel(r\"Wavelength ($\\mu m$)\")\n",
    "plt.ylabel(\"Transmission (dB)\")\n",
    "plt.ylim(-35, 0)\n",
    "plt.xlim(lda_min, lda_max)\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d03c4847",
   "metadata": {},
   "source": [
    "We go on to plot the field distributions at 1550 nm in the two simulations. The TE mode (left plot) stays guided inside the waveguide bend and thus the transmission is high. The TM mode (right plot), on the other hand, is leaked into the SWG metamaterial region and radiates to free space eventually, leading to a low transmission."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "cbf54cb3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T23:41:42.611889Z",
     "iopub.status.busy": "2023-08-18T23:41:42.611740Z",
     "iopub.status.idle": "2023-08-18T23:41:44.858045Z",
     "shell.execute_reply": "2023-08-18T23:41:44.857390Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x300 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 3))\n",
    "sim_data_te.plot_field(field_monitor_name=\"field\", field_name=\"Hz\", vmin=-0.7, vmax=0.7, ax=ax1)\n",
    "sim_data_tm.plot_field(field_monitor_name=\"field\", field_name=\"Ez\", vmin=-40, vmax=40, ax=ax2)\n",
    "ax1.set_title(\"Hz at 1550 nm (TE input)\")\n",
    "ax2.set_title(\"Ez at 1550 nm (TM input)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f5126f7",
   "metadata": {},
   "source": [
    "## Reference Simulations without SWG"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4321d4d0",
   "metadata": {},
   "source": [
    "As a comparison, we can run a baseline reference and simulate the same waveguide bend without the SWG metamaterial cladding. We only need to copy the previous simulations and update the structure such that they don't contain the SWG. \n",
    "\n",
    "To further speed up the simulation, we put the TE and TM input cases into a batch and run them on the server simultaneously. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "92f258ea",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T23:41:44.860256Z",
     "iopub.status.busy": "2023-08-18T23:41:44.860081Z",
     "iopub.status.idle": "2023-08-18T23:43:40.391317Z",
     "shell.execute_reply": "2023-08-18T23:43:40.389678Z"
    }
   },
   "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\">[16:41:44] </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'TE'</span> with task_id                          <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#188\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">188</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-cf53b5fa-6795-45b2-87ee-a8304cddea46v1'</span>.          <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:41:44]\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'TE'\u001b[0m with task_id                          \u001b]8;id=596482;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=184117;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#188\u001b\\\u001b[2m188\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b[32m'fdve-cf53b5fa-6795-45b2-87ee-a8304cddea46v1'\u001b[0m.          \u001b[2m             \u001b[0m\n"
      ]
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>View task using web UI at                               <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#190\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">190</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf53b5fa-6795-45b2-87ee-a8304cddea46v1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-</span></a> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf53b5fa-6795-45b2-87ee-a8304cddea46v1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">cf53b5fa-6795-45b2-87ee-a8304cddea46v1'</span></a>.                <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                               \u001b]8;id=117508;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=995992;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#190\u001b\\\u001b[2m190\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=102629;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf53b5fa-6795-45b2-87ee-a8304cddea46v1\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=78712;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf53b5fa-6795-45b2-87ee-a8304cddea46v1\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=102629;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf53b5fa-6795-45b2-87ee-a8304cddea46v1\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=801360;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf53b5fa-6795-45b2-87ee-a8304cddea46v1\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=102629;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf53b5fa-6795-45b2-87ee-a8304cddea46v1\u001b\\\u001b[32m-\u001b[0m\u001b]8;;\u001b\\ \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=102629;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cf53b5fa-6795-45b2-87ee-a8304cddea46v1\u001b\\\u001b[32mcf53b5fa-6795-45b2-87ee-a8304cddea46v1'\u001b[0m\u001b]8;;\u001b\\.                \u001b[2m             \u001b[0m\n"
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       "Output()"
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[16:41:45] </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'TM'</span> with task_id                          <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#188\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">188</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-2db2e385-f319-40ab-8f2b-aaae78dd4a3bv1'</span>.          <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:41:45]\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'TM'\u001b[0m with task_id                          \u001b]8;id=296297;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=870967;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#188\u001b\\\u001b[2m188\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b[32m'fdve-2db2e385-f319-40ab-8f2b-aaae78dd4a3bv1'\u001b[0m.          \u001b[2m             \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>View task using web UI at                               <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#190\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">190</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-2db2e385-f319-40ab-8f2b-aaae78dd4a3bv1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-</span></a> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-2db2e385-f319-40ab-8f2b-aaae78dd4a3bv1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">2db2e385-f319-40ab-8f2b-aaae78dd4a3bv1'</span></a>.                <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                               \u001b]8;id=891512;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=177821;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#190\u001b\\\u001b[2m190\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=377806;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2db2e385-f319-40ab-8f2b-aaae78dd4a3bv1\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=46938;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2db2e385-f319-40ab-8f2b-aaae78dd4a3bv1\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=377806;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2db2e385-f319-40ab-8f2b-aaae78dd4a3bv1\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=638035;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2db2e385-f319-40ab-8f2b-aaae78dd4a3bv1\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=377806;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2db2e385-f319-40ab-8f2b-aaae78dd4a3bv1\u001b\\\u001b[32m-\u001b[0m\u001b]8;;\u001b\\ \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=377806;https://tidy3d.simulation.cloud/workbench?taskId=fdve-2db2e385-f319-40ab-8f2b-aaae78dd4a3bv1\u001b\\\u001b[32m2db2e385-f319-40ab-8f2b-aaae78dd4a3bv1'\u001b[0m\u001b]8;;\u001b\\.                \u001b[2m             \u001b[0m\n"
      ]
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       "Output()"
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    },
    {
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      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[16:41:47] </span>Started working on Batch.                            <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">container.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py#475\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">475</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:41:47]\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch.                            \u001b]8;id=134358;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py\u001b\\\u001b[2mcontainer.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=366324;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py#475\u001b\\\u001b[2m475\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[16:41:56] </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.418</span> for the whole batch.  <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">container.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py#479\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">479</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">                </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>cost after the Batch has completed.                  <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">                </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:41:56]\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.418\u001b[0m for the whole batch.  \u001b]8;id=40822;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py\u001b\\\u001b[2mcontainer.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=537022;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py#479\u001b\\\u001b[2m479\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit \u001b[2m                \u001b[0m\n",
       "\u001b[2;36m           \u001b[0mcost after the Batch has completed.                  \u001b[2m                \u001b[0m\n"
      ]
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       "Output()"
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    {
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      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[16:43:40] </span>Batch complete.                                      <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">container.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py#522\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">522</span></a>\n",
       "</pre>\n"
      ],
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       "\u001b[2;36m[16:43:40]\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                      \u001b]8;id=577291;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py\u001b\\\u001b[2mcontainer.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=255282;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py#522\u001b\\\u001b[2m522\u001b[0m\u001b]8;;\u001b\\\n"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# copy previous simulations and update the structures\n",
    "sim_te_ref = sim_te.copy(update={\"structures\": [device_structure[0], substrate]})\n",
    "sim_tm_ref = sim_tm.copy(update={\"structures\": [device_structure[0], substrate]})\n",
    "\n",
    "# make a batch and run it\n",
    "sims = {\n",
    "    \"TE\": sim_te_ref,\n",
    "    \"TM\": sim_tm_ref,\n",
    "}\n",
    "batch = web.Batch(simulations=sims, verbose=True)\n",
    "batch_results = batch.run(path_dir=\"data\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "513a7766",
   "metadata": {},
   "source": [
    "Lastly, we plot the same results. Without SWG, we see that both the TE and TM mode transmissions are high. Adding the SWG indeed couples the TM mode out of the waveguide."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "7b56b814",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T23:43:42.102251Z",
     "iopub.status.busy": "2023-08-18T23:43:42.102068Z",
     "iopub.status.idle": "2023-08-18T23:43:50.177525Z",
     "shell.execute_reply": "2023-08-18T23:43:50.176950Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "eda093d7ce7f48aea2df92a03c274fdd",
       "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"
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     },
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
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      "text/plain": [
       "\n"
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       "\u001b[2;36m[16:43:46]\u001b[0m\u001b[2;36m \u001b[0mloading SimulationData from                             \u001b]8;id=531443;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=449023;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#590\u001b\\\u001b[2m590\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0mdata/fdve-\u001b[93mcf53b5fa-6795-45b2-87ee-a8304cddea46\u001b[0mv1.hdf5   \u001b[2m             \u001b[0m\n"
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       "Output()"
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     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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      "text/plain": []
     },
     "metadata": {},
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    },
    {
     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
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rPV2lTyH4AADgbkFlrS9MfXqN1GOOVOtOSYb1SdFTU6XPu1hfpMqwW7cj+AAAUFxMJqnWHVKPf0lPrrS+C8zkL+1eIn3WUfrkDmnL91IR3nGIoiH4AADgCZVulP4yVRqwzvpk6IAQ6eBv0qyHpQ9bSmlfSGZe0uxqBB+4REJCgt59911PlwEA3iciQerwtjRwk3TrECk43Ho7/NwnpQ+aSetnSubznq6y1CD4lHImk+mq06hRo7R3716ZTCb5+/vr4MGDdt8/fPiwAgICZDKZtHfv3kL388svv+jxxx93c28u17t3b3Xp0qXY9wsALlcuRrrjZWnQJqntaKlsjPVOsG+fkibdLG34kgDkAgSfUu7w4cO26d1331VYWJjdsqFDh9raVqlSRZ9//rnd9z/77DNVqVLlmvuJiYlRaGioy+sHAJ8TEia1Hig9u0G6c4wUGiVl7Ja+6S992ML6qgyL2dNVei2CTykXGxtrm8LDw2UymeyWlStXzta2V69emj59ut33p0+frl69el1zP5de6jKZTPrkk0903333KTQ0VDfccIPmzZtnW7906VKZTCbNnz9fDRs2VEhIiFq2bKlNmzbZ2owaNUqNGze228+7776rhIQE2/rPPvtM3377re0M1tKlSx3/ywGAkiyorHTLs9Kzv0ttR1nfDn9ipzSnn3UM0MZ/EYCcQPC5HoYh5Z3xzOSGWx47deqkkydPavny5ZKk5cuX6+TJk+rYsaNT2xs9erS6du2q33//Xffcc48efvhhZWRk2LV57rnnNH78eP3yyy+KiYlRx44dlZ/v2GC+oUOHqmvXrmrfvr3tDFarVq2cqhUASqzgclLrQdaHId7+kvVhiMe3S1/3lT66Tdq+gNvgi4C3s1+P/LPSa5U9s++/HbL+vwEXCgwMVI8ePTRt2jS1bt1a06ZNU48ePRQYGOjU9nr37q1u3bpJkl577TW9//77Wrt2rdq3b29rM3LkSN15552SrJfVqlatqm+++UZdu3a95vbLlSunMmXKKDc3V7GxsU7VCABeI7i8dNtQqfnj0pqPpJUTpSObpC8ekKq3tj4osWozT1dZ4nHGB3b69Omjr776Sunp6frqq6/Up08fp7fVsGFD2+eyZcsqLCxMR48etWuTnJxs+xwZGamkpCRt2bLF6X0CQKkXEialPCc9mya1GmB9K/y+5dZnAM3qIR3b7ukKSzTO+FyPwFDrmRdP7dsNGjRooDp16qhbt26qW7eu6tevr7S0NKe2demZIpPJJEsRHsrl5+cn45LTt45eBgOAUi80UrrrFalFf2nJOGnDF9KW76St/5aa9JBSh0lhHroqUYJxxud6mEzWy02emEwmt3WrT58+Wrp06XWd7XHU6tWrbZ9Pnjyp7du3q27dupKsd4qlp6fbhZ9LQ1hQUJDMZgb3AfBh4VWlLpOsT4JOukcyzNK6z6T3b5IWj5FyT3u6whKF4IPL9OvXT8eOHdNjjz3m9n2NGTNGixcv1qZNm9S7d29FR0fbnsuTmpqqY8eO6c0339SuXbs0adIk/fDDD3bfT0hI0O+//65t27bp+PHjnBEC4Lsq1pW6/VN69EcpvoV0/py0bLz1Zajr/8FrMC4g+OAyAQEBio6OVkCA+6+Evv7663r22WfVtGlTpaen67vvvlNQUJAkqW7duvrwww81adIkNWrUSGvXrrV77pBkDWlJSUlq1qyZYmJitGLFCrfXDAAlWvVkqc9P0oMzpYgaUvYR6dunpakp0l7+G2kyLh1E4eOysrIUHh6uzMxMhYWF2Zbn5ORoz549qlGjhkJCQjxYYemwdOlStWnTRidPnlSFChXcui+OHQCfdT5XWjtV+vlNKTfLuqxuJ+uDESNreLY2Fyvs9/tSnPEBAKC0CgiWWv2f9H/rpGZ9JJOftGWeNKm5tHCklJPl6QqLHcEHAIDSrlyMdO870hPLpcRUyZwnrXjXOv5nw5c+9QBEgg88IjU1VYZhuP0yFwDgIpVulB6ZK3WbJUXWlM4ctb4DbPrdUvqma369NChVwSchIeGyt4+//vrrni4LAICSw2SSktpLT62S7hhpfS7c/lXW11/8MEzKyfR0hW5VqoKPZL09+uK3j//f//2fS7fPWHDvwzEDgCsICJZuHSw984tUr7P1+T9rJksTm5Xqy1+lLviUL1/e7u3jZcu65n1WBU8hPnv2rEu2h+JTcMycfecYAJRq4VWlrp9LPeZIUbUuuvx1j3Rks6erc7lSdTt7QkKCcnJylJ+fr2rVqql79+4aNGjQVZ9Hk5ubq9zcXNt8VlaW4uPjr3g73OHDh3Xq1ClVrFhRoaGhMrnx6cm4foZh6OzZszp69KgqVKiguLg4T5cEACXb+Vxp1STpv29ZX8Rt8pdaPim1+ZvLX4ztao7ezl6qgs+ECRN00003KTIyUitXrtTw4cP16KOPasKECYV+Z9SoURo9evRly6/0F2cYhtLT03Xq1ClXlw43qlChgmJjYwmqAOCoUwekn/5mvfVdksKrSfdOkG6407N1XUWpCT7Dhg3TG2+8cdU2W7ZsUZ06dS5bPm3aNPXv31/Z2dkKDg6+4neLcsangNls5tUIXiIwMFD+/v6eLgMAvNP2BdL8wVLmAet8/b9K7V+XylX0bF1XUGqCz7Fjx3TixImrtklMTLS95uBimzdvVv369bV161YlJSU5tD9H/+IAAPAJudnS0nHS6g8lwyKFhEt3viI1eUTyKzlDhR39/Xb/y5iuU0xMjGJiYpz6blpamvz8/FSxYslLpgAAeIXgclK7sVKD+6XvnpUOb5C+G2C986vju1KMYycWSoqSE9Wu06pVq/Tuu+9qw4YN2r17t2bOnKlBgwapR48eioiI8HR5AAB4t8pNpMf+I9019sKzf1ZKk2+RloyTzud5ujqHlfhLXY5at26dnnrqKW3dulW5ubmqUaOGHnnkEQ0ePLjQ8T1XwqUuAACu4eQ+af4QaedC63yl+lLnSVLlxh4rqdSM8SluBB8AABxgGNKmr6V/Pyedy7De+t56kJTyvPXhiMWMt7MDAAD3MZms436eXivV62J98vOyt6WPUqQ/fvN0dYUi+AAAAOeVi5G6fmZ9+nPZGOnYFunTttLCl6X8HE9XdxmCDwAAuH71OktPrZEaPGC97X3Fe9KU1tKBtZ6uzA7BBwAAuEbZKOmvn0gP/VMqV0k6sUP69C5pwUvW12GUAAQfAADgWnXukZ5eIzXqLsmQVr4vTU2V0jd6ujKCDwAAcIMyEdJ9k6WHvpBCo6Wj/5OmtpGWTZAsZo+VRfABAADuU6eD9NRqqc69kiVfWjxamn63lLHbI+UQfAAAgHuVi5Ee/IfU+UMpqLx0YI00ubX063Tr84CKEcEHAAC4n8kkNXlYenKFVL21lH9G+n6g9EVX6XR6sZVB8AEAAMUnorrU6zvrO7/8g6UdC6QPk6Wt84tl9wQfAABQvPz8pFbPSI8vlWIbWF958WV36/u/8s+5d9du3ToAAEBhKtWTHlssJT9jnf/lE+tt70c2u22XBB8AAOA5AcFSu7FSjzlS2YrSsa3W297XTHXLwGeCDwAA8Lxad0hPrpRuuEsy50o/PCd98aB05rhLd0PwAQAAJUO5GKn7bOnuNy8MfP5JmtxK2vUfl+2C4AMAAEoOk0lq0V/q9x8ppo6UfUT6+33W932Z86978wQfAABQ8sTWl/otkZr1tc6vfF+afo906sB1bZbgAwAASqagUOneCVLXv0vB4dIfa6UpraVtPzi9SYIPAAAo2ep1kvr/LFW+Sco5Jf3zIemnEU5d+iL4AACAki+yhtTnJ6nlU9b5VR9YX3Z6an+RNkPwAQAA3iEgSGo/TnpwphQSLv3xizTlVmnrvx3eBMEHAAB4l7r3Sv2XSVWaWi99fdlNWjTGoa8SfAAAgPeJqC49+qPU8mnr/C9THfoawQcAAHingCCp/WvSQ19IIRUc+grBBwAAeLc6HaQnVzjUlOADAAC8X0i4Q80IPgAAwGcQfAAAgM8g+AAAAJ9B8AEAAD6D4AMAAHwGwQcAAPgMgg8AAPAZBB8AAOAzCD4AAMBnEHwAAIDPIPgAAACfQfABAAA+g+ADAAB8BsEHAAD4DIIPAADwGQQfAADgM7wm+IwdO1atWrVSaGioKlSocMU2+/fvV4cOHRQaGqqKFSvqueee0/nz54u3UAAAUGIFeLoAR+Xl5emBBx5QcnKyPv3008vWm81mdejQQbGxsVq5cqUOHz6snj17KjAwUK+99poHKgYAACWNyTAMw9NFFMWMGTM0cOBAnTp1ym75Dz/8oHvvvVeHDh1SpUqVJElTpkzRCy+8oGPHjikoKMih7WdlZSk8PFyZmZkKCwtzdfkAAMANHP399ppLXdeyatUqNWjQwBZ6JKldu3bKysrS5s2bC/1ebm6usrKy7CYAAFA6lZrgk56ebhd6JNnm09PTC/3euHHjFB4ebpvi4+PdWicAAPAcjwafYcOGyWQyXXXaunWrW2sYPny4MjMzbdOBAwfcuj8AAOA5Hh3cPGTIEPXu3fuqbRITEx3aVmxsrNauXWu37MiRI7Z1hQkODlZwcLBD+wAAAN7No8EnJiZGMTExLtlWcnKyxo4dq6NHj6pixYqSpIULFyosLEz16tVzyT4AAIB385rb2ffv36+MjAzt379fZrNZaWlpkqRatWqpXLlyuuuuu1SvXj098sgjevPNN5Wenq4XX3xRTz/9NGd0AACAJC+6nb1379767LPPLlu+ZMkSpaamSpL27dunJ598UkuXLlXZsmXVq1cvvf766woIcDzfcTs7AADex9Hfb68JPsWF4AMAgPfxuef4AAAAXAvBBwAA+AyCDwAA8BkEHwAA4DMIPgAAwGcQfAAAgM8g+AAAAJ9B8AEAAD6D4AMAAHwGwQcAAPgMgg8AAPAZBB8AAOAzrjv45ObmuqIOAAAAtyty8Pnhhx/Uq1cvJSYmKjAwUKGhoQoLC1NKSorGjh2rQ4cOuaNOAACA6+Zw8Pnmm29Uu3Zt9enTRwEBAXrhhRc0Z84c/fTTT/rkk0+UkpKiRYsWKTExUU888YSOHTvmzroBAACKzGQYhuFIw+TkZL344ou6++675edXeF46ePCgJk6cqEqVKmnQoEEuK7S4ZGVlKTw8XJmZmQoLC/N0OQAAwAGO/n47HHx8BcEHAADv4+jvN3d1AQAAn1Hk4LNjxw59/fXX2rNnjyRp/vz5uu2223TzzTdr7Nix4gQSAAAoqQKK0vibb75R165d5efnJ5PJpKlTp6p///5KTU1VWFiYRo0aZRv4DAAAUNIU6YzP2LFj9fzzzysnJ0eTJ0/WE088oXHjxumHH37Q999/r0mTJmnGjBluKhUAAOD6FGlwc/ny5ZWWlqaaNWvKYrEoKChIaWlpql+/viRp7969qlevns6ePeu2gt2Nwc0AAHgftwxuPnPmjMqXL2/9op+fypQpo9DQUNv6MmXK8CRnAABQYhUp+JhMJplMpkLnAQAASrIiDW42DEO1a9e2hZ3s7Gw1adLE9kBD7ugCAAAlWZGCz/Tp091VBwAAgNsVKfj06tXLXXUAAAC4HU9uBgAAPsPhMz4REREOD2TOyMhwuiAAAAB3cTj4vPvuu7bPJ06c0Kuvvqp27dopOTlZkrRq1Sr99NNPeumll1xeJAAAgCs49Xb2v/71r2rTpo2eeeYZu+UffPCBFi1apLlz57qqvmLHAwwBAPA+bn07+08//aT27dtftrx9+/ZatGiRM5sEAABwO6eCT1RUlL799tvLln/77beKioq67qIAAADcoUi3sxcYPXq0HnvsMS1dulQtWrSQJK1Zs0Y//vijPv74Y5cWCAAA4CpOBZ/evXurbt26ev/99zVnzhxJUt26dbV8+XJbEAIAAChpnBrcXJoxuBkAAO/j8sHNZ86cKVIBRW0PAADgbg4Hn1q1aun111/X4cOHC21jGIYWLlyou+++W++//75LCgQAAHAVh8f4LF26VH/72980atQoNWrUSM2aNVPlypUVEhKikydP6n//+59WrVqlgIAADR8+XP3793dn3QAAAEVW5DE++/fv11dffaVly5Zp3759OnfunKKjo9WkSRO1a9dOd999t/z9/d1Vr9sxxgcAAO/j6O83g5svQfABAMD7uPXJzZ4wduxYtWrVSqGhoapQocIV25hMpsumL7/8sngLBQAAJZZTz/HxhLy8PD3wwANKTk7Wp59+Wmi76dOn271Oo7CQBAAAfI/XBJ/Ro0dLkmbMmHHVdhUqVFBsbGwxVAQAALyN11zqctTTTz+t6OhoNW/eXNOmTRNDmAAAQAGvOePjiDFjxuj2229XaGioFixYoKeeekrZ2dkaMGBAod/Jzc1Vbm6ubT4rK6s4SgUAAB7gdPA5deqU1q5dq6NHj8pisdit69mzp0PbGDZsmN54442rttmyZYvq1Knj0PZeeukl2+cmTZrozJkzeuutt64afMaNG2e7jAYAAEo3p25n/+677/Twww8rOztbYWFhMplMf27QZFJGRoZD2zl27JhOnDhx1TaJiYkKCgqyzc+YMUMDBw7UqVOnrrn9+fPn695771VOTo6Cg4Ov2OZKZ3zi4+O5nR0AAC/i6O3sTp3xGTJkiPr06aPXXntNoaGhThcZExOjmJgYp79/LWlpaYqIiCg09EhScHDwVdcDAIDSw6ngc/DgQQ0YMOC6Qk9R7d+/XxkZGdq/f7/MZrPS0tIkWd8hVq5cOX333Xc6cuSIWrZsqZCQEC1cuFCvvfaahg4dWmw1AgCAks2p4NOuXTv9+uuvSkxMdHU9hXr55Zf12Wef2eabNGkiSVqyZIlSU1MVGBioSZMmadCgQTIMQ7Vq1dKECRPUr1+/YqsRAACUbE6N8fn00081ZswYPfroo2rQoIECAwPt1nfq1MllBRY3XlkBAID3ceu7uvz8Cn/8j8lkktlsLuomSwyCDwAA3setg5svvX0dAADAG5S6JzcDAAAUxung8/PPP6tjx46qVauWatWqpU6dOmnZsmWurA0AAMClnAo+//jHP9S2bVuFhoZqwIABGjBggMqUKaM77rhDX3zxhatrBAAAcAmnBjfXrVtXjz/+uAYNGmS3fMKECfr444+1ZcsWlxVY3BjcDACA93H099upMz67d+9Wx44dL1veqVMn7dmzx5lNAgAAuJ1TwSc+Pl6LFy++bPmiRYsUHx9/3UUBAAC4g9Pv6howYIDS0tLUqlUrSdKKFSs0Y8YMvffeey4tEAAAwFWcCj5PPvmkYmNjNX78eM2ePVuSddzPrFmz1LlzZ5cWCAAA4CpODW4uzRjcDACA93Hr4GYAAABv5PClrsjISG3fvl3R0dGKiIiQyWQqtG1GRoZLigMAAHAlh4PPO++8o/Lly9s+Xy34AAAAlESM8bkEY3wAAPA+bh3js27dOm3cuNE2/+2336pLly7629/+pry8PGc2CQAA4HZOBZ/+/ftr+/btkqxPcX7wwQcVGhqqr776Ss8//7xLCwQAAHAVp4LP9u3b1bhxY0nSV199pZSUFH3xxReaMWOGvv76a1fWBwAA4DJOBR/DMGSxWCRZX1Nxzz33SLK+yuL48eOuqw4AAMCFnAo+zZo106uvvqq///3v+vnnn9WhQwdJ0p49e1SpUiWXFggAAOAqTgWfd999V+vWrdMzzzyjESNGqFatWpKkf/3rX7Z3dwEAAJQ0Lr2dPScnR/7+/goMDHTVJosdt7MDAOB93Ho7+4EDB/THH3/Y5teuXauBAwfq888/9+rQAwAASjengk/37t21ZMkSSVJ6erruvPNOrV27ViNGjNCYMWNcWiAAAICrOBV8Nm3apObNm0uSZs+erfr162vlypWaOXOmZsyY4cr6AAAAXMap4JOfn6/g4GBJ1tvZO3XqJEmqU6eODh8+7LrqAAAAXMip4HPjjTdqypQpWrZsmRYuXKj27dtLkg4dOqSoqCiXFggAAOAqTgWfN954Qx999JFSU1PVrVs3NWrUSJI0b9482yUwAACAksbp29nNZrOysrIUERFhW7Z3716FhoaqYsWKLiuwuHE7OwAA3sfR3+8AZ3fg7+9vF3okKSEhwdnNAQAAuJ3Dweemm27S4sWLFRERoSZNmshkMhXadt26dS4pDgAAwJUcDj6dO3e23cnVpUsXd9UDAADgNi59ZUVpwBgfAAC8j9vH+BTIzs6WxWKxW0ZgAAAAJZFTt7Pv2bNHHTp0UNmyZRUeHq6IiAhFRESoQoUKlw14BgAAKCmcOuPTo0cPGYahadOmqVKlSlcd6AwAAFBSOBV8NmzYoN9++01JSUmurgcAAMBtnLrUdfPNN+vAgQOurgUAAMCtnDrj88knn+iJJ57QwYMHVb9+fQUGBtqtb9iwoUuKAwAAcCWngs+xY8e0a9cuPfroo7ZlJpNJhmHIZDLJbDa7rEAAAABXcSr49OnTR02aNNE///lPBjcDAACv4VTw2bdvn+bNm6datWq5uh4AAAC3cWpw8+23364NGza4upZC7d27V3379lWNGjVUpkwZ1axZUyNHjlReXp5du99//1233nqrQkJCFB8frzfffLPYagQAACWfU2d8OnbsqEGDBmnjxo1q0KDBZYObO3Xq5JLiCmzdulUWi0UfffSRatWqpU2bNqlfv346c+aM3n77bUnWR1Xfddddatu2raZMmaKNGzeqT58+qlChgh5//HGX1gMAALyTU+/q8vMr/ERRcQ1ufuuttzR58mTt3r1bkjR58mSNGDFC6enpCgoKkiQNGzZMc+fO1datWx3eLu/qAgDA+zj6++3UpS6LxVLoVFx3dGVmZioyMtI2v2rVKt1222220CNJ7dq107Zt23Ty5MlCt5Obm6usrCy7CQAAlE5OBZ8rOXXqlKs2dU07d+7UxIkT1b9/f9uy9PR0VapUya5dwXx6enqh2xo3bpzCw8NtU3x8vHuKBgAAHudU8HnjjTc0a9Ys2/wDDzygyMhIValSpUiDnocNGyaTyXTV6dLLVAcPHlT79u31wAMPqF+/fs6Ub2f48OHKzMy0TTyRGgCA0supwc1TpkzRzJkzJUkLFy7UokWL9OOPP2r27Nl67rnntGDBAoe2M2TIEPXu3fuqbRITE22fDx06pDZt2qhVq1aaOnWqXbvY2FgdOXLEblnBfGxsbKHbDw4OVnBwsEP1AgAA7+ZU8ElPT7ddEvr+++/VtWtX3XXXXUpISFCLFi0c3k5MTIxiYmIcanvw4EG1adNGTZs21fTp0y8bYJ2cnKwRI0YoPz/fdpfZwoULlZSUpIiICIdrAgAApZdTl7oiIiJsl4R+/PFHtW3bVpJkGIZbBjcfPHhQqampqlatmt5++20dO3ZM6enpdmN3unfvrqCgIPXt21ebN2/WrFmz9N5772nw4MEurwcAAHgnp874/OUvf1H37t11ww036MSJE7r77rslSevXr3fL05wXLlyonTt3aufOnapatarduoK78cPDw7VgwQI9/fTTatq0qaKjo/Xyyy/zDB8AAGDj1HN88vPz9d577+nAgQPq3bu3mjRpIkl65513VL58eT322GMuL7S48BwfAAC8j6O/304Fn9KM4AMAgPdx9PfbqUtdkrRjxw4tWbJER48elcVisVv38ssvO7tZAAAAt3Eq+Hz88cd68sknFR0drdjYWJlMJts6k8lE8AEAACWSU8Hn1Vdf1dixY/XCCy+4uh4AAAC3cep29pMnT+qBBx5wdS0AAABu5VTweeCBBxx+OjMAAEBJ4dSlrlq1aumll17S6tWr1aBBA9uTkgsMGDDAJcUBAAC4klO3s9eoUaPwDZpM2r1793UV5Unczg4AgPdx6+3se/bscbowAAAAT3FqjA8AAIA3cvoBhn/88YfmzZun/fv3Ky8vz27dhAkTrrswAAAAV3Mq+CxevFidOnVSYmKitm7dqvr162vv3r0yDEM33XSTq2sEAABwCacudQ0fPlxDhw7Vxo0bFRISoq+//loHDhxQSkoKz/cBAAAlllPBZ8uWLerZs6ckKSAgQOfOnVO5cuU0ZswYvfHGGy4tEAAAwFWcCj5ly5a1jeuJi4vTrl27bOuOHz/umsoAAABczKkxPi1bttTy5ctVt25d3XPPPRoyZIg2btyoOXPmqGXLlq6uEQAAwCWcCj4TJkxQdna2JGn06NHKzs7WrFmzdMMNN3BHFwAAKLGKHHzMZrP++OMPNWzYUJL1steUKVNcXhgAAICrFXmMj7+/v+666y6dPHnSHfUAAAC4jVODm+vXr+/V7+MCAAC+yang8+qrr2ro0KH6/vvvdfjwYWVlZdlNAAAAJVGR3s4+ZswYDRkyROXLl/9zAyaT7bNhGDKZTDKbza6tshjxdnYAALyPo7/fRQo+/v7+Onz4sLZs2XLVdikpKY5XWsIQfAAA8D6O/n4X6a6ugozkzcEGAAD4riKP8bn40hYAAIA3KfJzfGrXrn3N8JORkeF0QQAAAO5S5OAzevRohYeHu6MWAAAAtypy8HnooYdUsWJFd9QCAADgVkUa48P4HgAA4M2KFHyKcOc7AABAiVOkS10Wi8VddQAAALidU6+sAAAA8EYEHwAA4DMIPgAAwGcQfAAAgM8g+AAAAJ9B8AEAAD6D4AMAAHwGwQcAAPgMgg8AAPAZBB8AAOAzCD4AAMBneEXw2bt3r/r27asaNWqoTJkyqlmzpkaOHKm8vDy7NiaT6bJp9erVHqwcAACUJEV6SamnbN26VRaLRR999JFq1aqlTZs2qV+/fjpz5ozefvttu7aLFi3SjTfeaJuPiooq7nIBAEAJ5RXBp3379mrfvr1tPjExUdu2bdPkyZMvCz5RUVGKjY0t7hIBAIAX8IpLXVeSmZmpyMjIy5Z36tRJFStWVOvWrTVv3rxrbic3N1dZWVl2EwAAKJ28Mvjs3LlTEydOVP/+/W3LypUrp/Hjx+urr77S/Pnz1bp1a3Xp0uWa4WfcuHEKDw+3TfHx8e4uHwAAeIjJMAzDUzsfNmyY3njjjau22bJli+rUqWObP3jwoFJSUpSamqpPPvnkqt/t2bOn9uzZo2XLlhXaJjc3V7m5ubb5rKwsxcfHKzMzU2FhYQ72BAAAeFJWVpbCw8Ov+fvt0TE+Q4YMUe/eva/aJjEx0fb50KFDatOmjVq1aqWpU6dec/stWrTQwoULr9omODhYwcHBDtULAAC8m0eDT0xMjGJiYhxqe/DgQbVp00ZNmzbV9OnT5ed37at0aWlpiouLu94yAQBAKeEVd3UdPHhQqampql69ut5++20dO3bMtq7gDq7PPvtMQUFBatKkiSRpzpw5mjZt2jUvhwEAAN/hFcFn4cKF2rlzp3bu3KmqVavarbt4iNIrr7yiffv2KSAgQHXq1NGsWbN0//33F3e5AACghPLo4OaSyNHBUQAAoORw9PfbK29nBwAAcAbBBwAA+AyCDwAA8BkEHwAA4DMIPgAAwGcQfAAAgM8g+AAAAJ9B8AEAAD6D4AMAAHwGwQcAAPgMgg8AAPAZBB8AAOAzCD4AAMBnEHwAAIDPIPgAAACfQfABAAA+g+ADAAB8BsEHAAD4DIIPAADwGQQfAADgMwg+AADAZxB8AACAzyD4AAAAn0HwAQAAPoPgAwAAfAbBBwAA+AyCDwAA8BkEHwAA4DMIPgAAwGcQfAAAgM8g+AAAAJ9B8AEAAD6D4AMAAHwGwQcAAPgMgg8AAPAZBB8AAOAzCD4AAMBnEHwAAIDPIPgAAACfQfABAAA+g+ADAAB8BsEHAAD4DK8JPp06dVK1atUUEhKiuLg4PfLIIzp06JBdm99//1233nqrQkJCFB8frzfffNND1QIAgJLIa4JPmzZtNHv2bG3btk1ff/21du3apfvvv9+2PisrS3fddZeqV6+u3377TW+99ZZGjRqlqVOnerBqAABQkpgMwzA8XYQz5s2bpy5duig3N1eBgYGaPHmyRowYofT0dAUFBUmShg0bprlz52rr1q0ObzcrK0vh4eHKzMxUWFiYu8oHAAAu5Ojvt9ec8blYRkaGZs6cqVatWikwMFCStGrVKt1222220CNJ7dq107Zt23Ty5MlCt5Wbm6usrCy7CQAAlE5eFXxeeOEFlS1bVlFRUdq/f7++/fZb27r09HRVqlTJrn3BfHp6eqHbHDdunMLDw21TfHy8e4oHAAAe59HgM2zYMJlMpqtOF1+meu6557R+/XotWLBA/v7+6tmzp673St3w4cOVmZlpmw4cOHC93QIAACVUgCd3PmTIEPXu3fuqbRITE22fo6OjFR0drdq1a6tu3bqKj4/X6tWrlZycrNjYWB05csTuuwXzsbGxhW4/ODhYwcHBzncCAAB4DY8Gn5iYGMXExDj1XYvFIsk6RkeSkpOTNWLECOXn59vG/SxcuFBJSUmKiIhwTcEAAMCrecUYnzVr1uiDDz5QWlqa9u3bp//85z/q1q2batasqeTkZElS9+7dFRQUpL59+2rz5s2aNWuW3nvvPQ0ePNjD1QMAgJLCK4JPaGio5syZozvuuENJSUnq27evGjZsqJ9//tl2mSo8PFwLFizQnj171LRpUw0ZMkQvv/yyHn/8cQ9XDwAASgqvfY6Pu/AcHwAAvE+pfo4PAACAMwg+AADAZxB8AACAzyD4AAAAn0HwAQAAPoPgAwAAfAbBBwAA+AyCDwAA8BkEHwAA4DMIPgAAwGcQfAAAgM8g+AAAAJ9B8AEAAD6D4AMAAHwGwQcAAPgMgg8AAPAZBB8AAOAzCD4AAMBnEHwAAIDPIPgAAACfQfABAAA+g+ADAAB8BsEHAAD4DIIPAADwGQQfAADgMwg+AADAZxB8AACAzyD4AAAAn0HwAQAAPoPgAwAAfAbBBwAA+AyCDwAA8BkEHwAA4DMIPgAAwGcQfAAAgM8g+AAAAJ9B8AEAAD6D4AMAAHwGwQcAAPgMgg8AAPAZBB8AAOAzCD4AAMBneE3w6dSpk6pVq6aQkBDFxcXpkUce0aFDh2zr9+7dK5PJdNm0evVqD1YNAABKEq8JPm3atNHs2bO1bds2ff3119q1a5fuv//+y9otWrRIhw8ftk1Nmzb1QLUAAKAkCvB0AY4aNGiQ7XP16tU1bNgwdenSRfn5+QoMDLSti4qKUmxsrCdKBAAAJZzXBJ+LZWRkaObMmWrVqpVd6JGsl8RycnJUu3ZtPf/88+rUqdNVt5Wbm6vc3FzbfGZmpiQpKyvL9YUDAAC3KPjdNgzj6g0NL/L8888boaGhhiSjZcuWxvHjx23rjh07ZowfP95YvXq1sXbtWuOFF14wTCaT8e233151myNHjjQkMTExMTExMZWC6cCBA1f93TcZxrWikfsMGzZMb7zxxlXbbNmyRXXq1JEkHT9+XBkZGdq3b59Gjx6t8PBwff/99zKZTFf8bs+ePbVnzx4tW7as0O1fesbHYrEoIyNDUVFRhW63pMrKylJ8fLwOHDigsLAwT5fjdvS3dPOl/vpSXyX6W9p5qr+GYej06dOqXLmy/PwKH8Ls0UtdQ4YMUe/eva/aJjEx0fY5Ojpa0dHRql27turWrav4+HitXr1aycnJV/xuixYttHDhwqtuPzg4WMHBwXbLKlSo4FD9JVVYWJhP/OMqQH9LN1/qry/1VaK/pZ0n+hseHn7NNh4NPjExMYqJiXHquxaLRZLsztZcKi0tTXFxcU5tHwAAlD5eMbh5zZo1+uWXX9S6dWtFRERo165deumll1SzZk3b2Z7PPvtMQUFBatKkiSRpzpw5mjZtmj755BNPlg4AAEoQrwg+oaGhmjNnjkaOHKkzZ84oLi5O7du314svvmh3meqVV17Rvn37FBAQoDp16mjWrFlXfNZPaRUcHKyRI0dedumutKK/pZsv9deX+irR39KupPfXo4ObAQAAipPXPLkZAADgehF8AACAzyD4AAAAn0HwAQAAPoPgU4L997//VceOHVW5cmWZTCbNnTv3qu2XL1+uW265RVFRUSpTpozq1Kmjd95557J2kyZNUkJCgkJCQtSiRQutXbvWTT1wnDv6OmrUKJlMJrup4CngnlbU/l5sxYoVCggIUOPGjS9bVxKPreSe/pam47t06dLL+mIymZSenm7XriQeX3f0tTQdW8n6vLkRI0aoevXqCg4OVkJCgqZNm2bX5quvvlKdOnUUEhKiBg0a6N///rebelA07ujvjBkzLju+ISEhbuyFPYJPCXbmzBk1atRIkyZNcqh92bJl9cwzz+i///2vtmzZohdffFEvvviipk6damsza9YsDR48WCNHjtS6devUqFEjtWvXTkePHnVXNxzijr5K0o033qjDhw/bpuXLl7uj/CIran8LnDp1Sj179tQdd9xx2bqSemwl9/RXKn3Hd9u2bXb9qVixom1dST2+7uirVLqObdeuXbV48WJ9+umn2rZtm/75z38qKSnJtn7lypXq1q2b+vbtq/Xr16tLly7q0qWLNm3a5I4uFIk7+itZn+p88fHdt2+fq0sv3PW+OBTFQ5LxzTffFPl79913n9GjRw/bfPPmzY2nn37aNm82m43KlSsb48aNc0WZLuGqvo4cOdJo1KiR6wpzk6L098EHHzRefPHFK/bNG46tYbiuv6Xp+C5ZssSQZJw8ebLQNt5wfF3V19J0bH/44QcjPDzcOHHiRKFtunbtanTo0MFuWYsWLYz+/fu7okyXcVV/p0+fboSHh7u2uCLgjE8ptn79eq1cuVIpKSmSpLy8PP32229q27atrY2fn5/atm2rVatWeapMl7i0rwV27NihypUrKzExUQ8//LD279/voQqv3/Tp07V7926NHDnysnWl8dherb8FStPxlaTGjRsrLi5Od955p1asWGFbXhqPb2F9LVBaju28efPUrFkzvfnmm6pSpYpq166toUOH6ty5c7Y2q1atsju2ktSuXTuvPLaO9FeSsrOzVb16dcXHx6tz587avHlzsdXoFU9uRtFUrVpVx44d0/nz5zVq1Cg99thjkqxvtzebzapUqZJd+0qVKmnr1q2eKPW6FdZXyfqS2hkzZigpKUmHDx/W6NGjdeutt2rTpk0qX768B6suuh07dmjYsGFatmyZAgIu/2db2o7ttforla7jGxcXpylTpqhZs2bKzc3VJ598otTUVK1Zs0Y33XRTqTq+1+qrVLqO7e7du7V8+XKFhITom2++0fHjx/XUU0/pxIkTmj59uiQpPT39isf20jFe3sCR/iYlJWnatGlq2LChMjMz9fbbb6tVq1bavHmzqlat6vYaCT6l0LJly5Sdna3Vq1dr2LBhqlWrlrp16+bpstzian29++67be0aNmyoFi1aqHr16po9e7b69u3rqZKLzGw2q3v37ho9erRq167t6XLcztH+lpbjK1l/CC4eA9GqVSvt2rVL77zzjv7+9797sDLXc6SvpenYWiwWmUwmzZw50/bm8AkTJuj+++/Xhx9+qDJlyni4QtdypL/Jycm292xK1v8N1K1bVx999JFeeeUVt9dI8CmFatSoIUlq0KCBjhw5olGjRqlbt26Kjo6Wv7+/jhw5Ytf+yJEjio2N9USp162wvl5JhQoVVLt2be3cubM4S7xup0+f1q+//qr169frmWeekWT9j4thGAoICNCCBQvUunXrUnNsHenv7bffftn3vPX4FqZ58+a2Ab2l8d/uxS7u65V487GNi4tTlSpVbCFAkurWrSvDMPTHH3/ohhtuUGxsbKk5to7091KBgYFq0qRJsR1fxviUchaLRbm5uZKkoKAgNW3aVIsXL7Zbv3jxYrv07a0u7uuVZGdna9euXYqLiyvGqq5fWFiYNm7cqLS0NNv0xBNPKCkpSWlpaWrRokWpOraO9PdKvPX4FiYtLc3Wl9J0fK/k4r5eiTcf21tuuUWHDh1Sdna2bdn27dvl5+dnu6yTnJxsd2wlaeHChV55bB3p76XMZrM2btxYfMfXY8OqcU2nT5821q9fb6xfv96QZEyYMMFYv369sW/fPsMwDGPYsGHGI488Ymv/wQcfGPPmzTO2b99ubN++3fjkk0+M8uXLGyNGjLC1+fLLL43g4GBjxowZxv/+9z/j8ccfNypUqGCkp6cXe/8u5o6+DhkyxFi6dKmxZ88eY8WKFUbbtm2N6Oho4+jRo8Xev0sVtb+XutJdLyX12BqGe/pbmo7vO++8Y8ydO9fYsWOHsXHjRuPZZ581/Pz8jEWLFtnalNTj646+lqZje/r0aaNq1arG/fffb2zevNn4+eefjRtuuMF47LHHbG1WrFhhBAQEGG+//baxZcsWY+TIkUZgYKCxcePGYu/fpdzR39GjRxs//fSTsWvXLuO3334zHnroISMkJMTYvHlzsfSJ4FOCFdz2eenUq1cvwzAMo1evXkZKSoqt/fvvv2/ceOONRmhoqBEWFmY0adLE+PDDDw2z2Wy33YkTJxrVqlUzgoKCjObNmxurV68uxl5dmTv6+uCDDxpxcXFGUFCQUaVKFePBBx80du7cWcw9u7Ki9vdShd3uWxKPrWG4p7+l6fi+8cYbRs2aNY2QkBAjMjLSSE1NNf7zn/9ctt2SeHzd0dfSdGwNwzC2bNlitG3b1ihTpoxRtWpVY/DgwcbZs2ft2syePduoXbu2ERQUZNx4443G/Pnzi6lHV+eO/g4cOND2v+NKlSoZ99xzj7Fu3bpi65PJMAzD9eeRAAAASh7G+AAAAJ9B8AEAAD6D4AMAAHwGwQcAAPgMgg8AAPAZBB8AAOAzCD4AAMBnEHwAAIDPIPgAAACfQfABUGKlpqZq4MCBni7Dxtl6Tpw4oYoVK2rv3r0ur+lSDz30kMaPH+/2/QDeiuAD+LgpU6aofPnyOn/+vG1Zdna2AgMDlZqaatd26dKlMplM2rVrVzFXWbxcHbjGjh2rzp07KyEhwWXbLMyLL76osWPHKjMz0+37ArwRwQfwcW3atFF2drZ+/fVX27Jly5YpNjZWa9asUU5Ojm35kiVLVK1aNdWsWdMTpXqls2fP6tNPP1Xfvn2LZX/169dXzZo19Y9//KNY9gd4G4IP4OOSkpIUFxenpUuX2pYtXbpUnTt3Vo0aNbR69Wq75W3atJEk/fjjj2rdurUqVKigqKgo3XvvvXZngqZOnarKlSvLYrHY7a9z587q06ePJMlisWjcuHGqUaOGypQpo0aNGulf//pXobU60j41NVUDBgzQ888/r8jISMXGxmrUqFF2bU6fPq2HH35YZcuWVVxcnN555x3bWZ7evXvr559/1nvvvSeTySSTyWR3icpisVx125f697//reDgYLVs2dJu+fLlyxUYGGgXLPfu3SuTyaR9+/bZPn/99de67bbbVKZMGd18883av3+/li1bppYtWyo0NFR33HGHTp06Zbftjh076ssvv7xqXYCvIvgAUJs2bbRkyRLb/JIlS5SamqqUlBTb8nPnzmnNmjW24HPmzBkNHjxYv/76qxYvXiw/Pz/dd999tqDzwAMP6MSJE3bbzcjI0I8//qiHH35YkjRu3Dh9/vnnmjJlijZv3qxBgwapR48e+vnnn69Yp6PtP/vsM5UtW1Zr1qzRm2++qTFjxmjhwoW29YMHD9aKFSs0b948LVy4UMuWLdO6deskSe+9956Sk5PVr18/HT58WIcPH1Z8fLzD277UsmXL1LRp08uWp6WlqW7dugoJCbEtW79+vSIiIlS9enVt2LBBkjR58mS99tprWrlypY4cOaIePXro9ddf1wcffKAlS5Zow4YNmj59ut22mzdvrrVr1yo3N7fQugCfZQDweR9//LFRtmxZIz8/38jKyjICAgKMo0ePGl988YVx2223GYZhGIsXLzYkGfv27bviNo4dO2ZIMjZu3Ghb1rlzZ6NPnz62+Y8++sioXLmyYTabjZycHCM0NNRYuXKl3Xb69u1rdOvWzTAMw0hJSTGeffZZwzAMh9oXfKd169Z2bW6++WbjhRdeMAzDMLKysozAwEDjq6++sq0/deqUERoaatvXxfu92LW2fSWX/h0UeOyxx4yePXvaLXv55ZeN1NRUwzAMY9SoUUZkZKRx/Phx2/oePXoYCQkJxpkzZ2zL2rdvbzz//PN229mwYYMhydi7d2+hdQG+ijM+AJSamqozZ87ol19+0bJly1S7dm3FxMQoJSXFNs5n6dKlSkxMVLVq1SRJO3bsULdu3ZSYmKiwsDDbwN39+/fbtvvwww/r66+/tp15mDlzph566CH5+flp586dOnv2rO68806VK1fONn3++edXHDxdlPYNGza0m4+Li9PRo0clSbt371Z+fr6aN29uWx8eHq6kpCSH/q6utu0rOXfunN1ZnQJpaWlq3Lix3bL169fblm3YsEH33XefoqKibOv379+vBx98UKGhoXbLatSoYbedMmXKSLKOLwJgL8DTBQDwvFq1aqlq1apasmSJTp48qZSUFElS5cqVFR8fr5UrV2rJkiW6/fbbbd/p2LGjqlevro8//tg2lqd+/frKy8uza2MYhubPn6+bb75Zy5Yt0zvvvCPJeueYJM2fP19VqlSxqyc4OPiyGovSPjAw0G7eZDJdNtbIWUXddnR0tE6ePGm3zGw2a9OmTWrSpInd8nXr1umvf/2rJGswGj58uN36DRs2aNCgQbb5nJwcbdu2TY0aNbJrl5GRIUmKiYlxsFeA7yD4AJBkHeezdOlSnTx5Us8995xt+W233aYffvhBa9eu1ZNPPinJ+lyabdu26eOPP9att94qyTpY91IhISH6y1/+opkzZ2rnzp1KSkrSTTfdJEmqV6+egoODtX//flvQupqiti9MYmKiAgMD9csvv9jOXmVmZmr79u267bbbJElBQUEym81O7+NiTZo0uewOq23btiknJ0eVK1e2LVu1apUOHjyoxo0bKysrS3v37rULRnv27FFmZqbdso0bN8owDDVo0MBu+5s2bVLVqlUVHR3tkj4ApQnBB4Aka/B5+umnlZ+fbxcsUlJS9MwzzygvL882sDkiIkJRUVGaOnWq4uLitH//fg0bNuyK23344Yd17733avPmzerRo4dtefny5TV06FANGjRIFotFrVu3VmZmplasWKGwsDD16tXLbjtFbV+Y8uXLq1evXnruuecUGRmpihUrauTIkfLz85PJZJIkJSQkaM2aNdq7d6/KlSunyMhI+fk5NzKgXbt2Gj58uE6ePKmIiAhJ1rM5kjRx4kQNGDBAO3fu1IABAyRJeXl52rBhg/z9/VW/fn3bdtLS0hQZGanq1avbLatZs6bKlStnt89ly5bprrvucqpeoLRjjA8ASdbgc+7cOdWqVUuVKlWyLU9JSdHp06dtt71Lkp+fn7788kv99ttvql+/vgYNGqS33nrritu9/fbbFRkZqW3btql79+5261555RW99NJLGjdunOrWrav27dtr/vz5l41ZcbZ9YSZMmKDk5GTde++9atu2rW655Ra7O6yGDh0qf39/1atXTzExMXbjloqqQYMGuummmzR79mzbsrS0NLVr1067d+9WgwYNNGLECI0ePVphYWF6//33tWHDBiUlJdmNDdqwYcNll8Y2bNhw2WWunJwczZ07V/369XO6ZqA0MxmGYXi6CADwpDNnzqhKlSoaP368Wx40OH/+fD333HPatGmT/Pz81K5dO91888169dVXXb6vyZMn65tvvtGCBQtcvm2gNOBSFwCfs379em3dulXNmzdXZmamxowZI8n6cEV36NChg3bs2KGDBw8qPj5eGzZssD3E0dUCAwM1ceJEt2wbKA044wPA56xfv16PPfaYtm3bpqCgIDVt2lQTJky4bJCwO6SnpysuLk6bN29WvXr13L4/APYIPgAAwGcwuBkAAPgMgg8AAPAZBB8AAOAzCD4AAMBnEHwAAIDPIPgAAACfQfABAAA+g+ADAAB8BsEHAAD4DIIPAADwGQQfAADgM/4frOOwhOwqxOgAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "amp_te_ref = batch_results[\"TE\"][\"mode\"].amps.sel(mode_index=0, direction=\"-\")\n",
    "T_te_ref = np.abs(amp_te_ref) ** 2\n",
    "\n",
    "amp_tm_ref = batch_results[\"TM\"][\"mode\"].amps.sel(mode_index=1, direction=\"-\")\n",
    "T_tm_ref = np.abs(amp_tm_ref) ** 2\n",
    "\n",
    "plt.plot(td.C_0 / freqs, 10 * np.log10(T_te_ref), label=\"TE input\")\n",
    "plt.plot(td.C_0 / freqs, 10 * np.log10(T_tm_ref), label=\"TM input\")\n",
    "plt.xlabel(r\"Wavelength ($\\mu m$)\")\n",
    "plt.ylabel(\"Transmission (dB)\")\n",
    "plt.ylim(-35, 0)\n",
    "plt.xlim(lda_min, lda_max)\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "98f5fbec",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T23:43:50.305720Z",
     "iopub.status.busy": "2023-08-18T23:43:50.305575Z",
     "iopub.status.idle": "2023-08-18T23:43:52.468640Z",
     "shell.execute_reply": "2023-08-18T23:43:52.467818Z"
    }
   },
   "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\">[16:43:50] </span>loading SimulationData from                             <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#590\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">590</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>data/fdve-<span style=\"color: #ffff00; text-decoration-color: #ffff00\">cf53b5fa-6795-45b2-87ee-a8304cddea46</span>v1.hdf5   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
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      "text/plain": [
       "<Figure size 1200x300 with 4 Axes>"
      ]
     },
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    }
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   "source": [
    "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 3))\n",
    "batch_results[\"TE\"].plot_field(\n",
    "    field_monitor_name=\"field\", field_name=\"Hz\", vmin=-0.7, vmax=0.7, ax=ax1\n",
    ")\n",
    "batch_results[\"TM\"].plot_field(\n",
    "    field_monitor_name=\"field\", field_name=\"Ez\", vmin=-40, vmax=40, ax=ax2\n",
    ")\n",
    "ax1.set_title(\"Hz at 1550 nm (TE input)\")\n",
    "ax2.set_title(\"Ez at 1550 nm (TM input)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d86f64b8",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "applications": [
   "Passive photonic integrated circuit components"
  ],
  "description": "This notebook demonstrates how to model a broadband polarizer in Tidy3D FDTD.",
  "feature_image": "./img/swg_polarizer.png",
  "features": [
   "GDS component"
  ],
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "keywords": "broadband polarizer, anisotropic subwavelength grating, SWG, metamaterial, 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": "3.9.16"
  },
  "title": "Metamaterial-assisted Broadband Polarizer | Flexcompute",
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         "data": {
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