{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "4934d7d5",
   "metadata": {},
   "source": [
    "# Broadband silicon photonic polarizer based on anisotropic subwavelength grating (SWG) 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\">"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2c895609",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import gdstk\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": {},
   "outputs": [
    {
     "data": {
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\n",
      "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": {},
   "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](../material_library.html)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b0ab4109",
   "metadata": {},
   "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": {},
   "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": {},
   "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": {},
   "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": {},
   "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": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "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](../_autosummary/tidy3d.Structure.html) from the geometries. A silicon dioxide substrate structure is also defined."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "2bf9aff1",
   "metadata": {},
   "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](../_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": {},
   "outputs": [],
   "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]((../_autosummary/tidy3d.Simulation.html))."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "01d2bc94",
   "metadata": {},
   "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": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "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": {},
   "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\">[11:22:20] </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'TE_mode'</span> with task_id <span style=\"color: #008000; text-decoration-color: #008000\">'fdve-91821cdd-4b71-44f8-a901-6d0b4338f041v1'</span>.         <a href=\"file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\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://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#139\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">139</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[11:22:20]\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'TE_mode'\u001b[0m with task_id \u001b[32m'fdve-91821cdd-4b71-44f8-a901-6d0b4338f041v1'\u001b[0m.         \u001b]8;id=662551;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=719632;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#139\u001b\\\u001b[2m139\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>View task using web UI at                                                                  <a href=\"file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\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://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#141\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">141</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-91821cdd-4b71-44f8-a901-6d0b4338f041v1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-91821cdd-4b71-44f8-a901-6d0b4338f04</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-91821cdd-4b71-44f8-a901-6d0b4338f041v1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">1v1'</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=305486;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=898526;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#141\u001b\\\u001b[2m141\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=676777;https://tidy3d.simulation.cloud/workbench?taskId=fdve-91821cdd-4b71-44f8-a901-6d0b4338f041v1\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=56293;https://tidy3d.simulation.cloud/workbench?taskId=fdve-91821cdd-4b71-44f8-a901-6d0b4338f041v1\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=676777;https://tidy3d.simulation.cloud/workbench?taskId=fdve-91821cdd-4b71-44f8-a901-6d0b4338f041v1\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=700533;https://tidy3d.simulation.cloud/workbench?taskId=fdve-91821cdd-4b71-44f8-a901-6d0b4338f041v1\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=676777;https://tidy3d.simulation.cloud/workbench?taskId=fdve-91821cdd-4b71-44f8-a901-6d0b4338f041v1\u001b\\\u001b[32m-91821cdd-4b71-44f8-a901-6d0b4338f04\u001b[0m\u001b]8;;\u001b\\ \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=676777;https://tidy3d.simulation.cloud/workbench?taskId=fdve-91821cdd-4b71-44f8-a901-6d0b4338f041v1\u001b\\\u001b[32m1v1'\u001b[0m\u001b]8;;\u001b\\.                                                                                      \u001b[2m             \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "aca566db51494e28aeadc6de749291f4",
       "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\">[11:22:28] </span>status = queued                                                                            <a href=\"file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\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://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#271\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">271</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[11:22:28]\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                                            \u001b]8;id=395432;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=749932;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#271\u001b\\\u001b[2m271\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[11:22:36] </span>status = preprocess                                                                        <a href=\"file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\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://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#265\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">265</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[11:22:36]\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                                        \u001b]8;id=472256;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=964762;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#265\u001b\\\u001b[2m265\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\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[11:22:45] </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.361</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed FlexCredit  <a href=\"file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\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://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#288\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">288</span></a>\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[11:22:45]\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.361\u001b[0m. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit  \u001b]8;id=338911;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=248378;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#288\u001b\\\u001b[2m288\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0mcost after a simulation run.                                                               \u001b[2m             \u001b[0m\n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>starting up solver                                                                         <a href=\"file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\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://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#292\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">292</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                                         \u001b]8;id=755007;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=563129;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#292\u001b\\\u001b[2m292\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\">[11:22:46] </span>running solver                                                                             <a href=\"file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\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://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#302\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">302</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[11:22:46]\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                                             \u001b]8;id=822755;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=106463;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#302\u001b\\\u001b[2m302\u001b[0m\u001b]8;;\u001b\\\n"
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       "Output()"
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      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[11:24:56] </span>early shutoff detected, exiting.                                                           <a href=\"file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\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://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#316\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">316</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[11:24:56]\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected, exiting.                                                           \u001b]8;id=298272;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=289792;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#316\u001b\\\u001b[2m316\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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     },
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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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      "text/html": [
       "<pre style=\"white-space:pre;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://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\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://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#333\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">333</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                                                       \u001b]8;id=106593;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=848068;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#333\u001b\\\u001b[2m333\u001b[0m\u001b]8;;\u001b\\\n"
      ]
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       "Output()"
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     },
     "metadata": {},
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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\">[11:25:22] </span>status = success                                                                           <a href=\"file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\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://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#340\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">340</span></a>\n",
       "</pre>\n"
      ],
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       "\u001b[2;36m[11:25:22]\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                                           \u001b]8;id=44545;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=53670;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#340\u001b\\\u001b[2m340\u001b[0m\u001b]8;;\u001b\\\n"
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       "Output()"
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     "metadata": {},
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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": []
     },
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    },
    {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
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       "\n"
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    {
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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\">[11:25:24] </span>loading SimulationData from data/simulation_data.hdf5                                      <a href=\"file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\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://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#512\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">512</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[11:25:24]\u001b[0m\u001b[2;36m \u001b[0mloading SimulationData from data/simulation_data.hdf5                                      \u001b]8;id=717661;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=260936;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#512\u001b\\\u001b[2m512\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
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    }
   ],
   "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](../_autosummary/tidy3d.ModeSource.html). This can be done easily by copying the previous simulation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "3b194145",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[11:25:25] </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'TM_mode'</span> with task_id <span style=\"color: #008000; text-decoration-color: #008000\">'fdve-fccdf0c4-049d-4298-90ab-7880be4f0281v1'</span>.         <a href=\"file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\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://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#139\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">139</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[11:25:25]\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'TM_mode'\u001b[0m with task_id \u001b[32m'fdve-fccdf0c4-049d-4298-90ab-7880be4f0281v1'\u001b[0m.         \u001b]8;id=734246;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=728741;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#139\u001b\\\u001b[2m139\u001b[0m\u001b]8;;\u001b\\\n"
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     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>View task using web UI at                                                                  <a href=\"file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\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://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#141\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">141</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-fccdf0c4-049d-4298-90ab-7880be4f0281v1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-fccdf0c4-049d-4298-90ab-7880be4f028</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-fccdf0c4-049d-4298-90ab-7880be4f0281v1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">1v1'</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=955598;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=482405;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#141\u001b\\\u001b[2m141\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=59752;https://tidy3d.simulation.cloud/workbench?taskId=fdve-fccdf0c4-049d-4298-90ab-7880be4f0281v1\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=163648;https://tidy3d.simulation.cloud/workbench?taskId=fdve-fccdf0c4-049d-4298-90ab-7880be4f0281v1\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=59752;https://tidy3d.simulation.cloud/workbench?taskId=fdve-fccdf0c4-049d-4298-90ab-7880be4f0281v1\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=93676;https://tidy3d.simulation.cloud/workbench?taskId=fdve-fccdf0c4-049d-4298-90ab-7880be4f0281v1\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=59752;https://tidy3d.simulation.cloud/workbench?taskId=fdve-fccdf0c4-049d-4298-90ab-7880be4f0281v1\u001b\\\u001b[32m-fccdf0c4-049d-4298-90ab-7880be4f028\u001b[0m\u001b]8;;\u001b\\ \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=59752;https://tidy3d.simulation.cloud/workbench?taskId=fdve-fccdf0c4-049d-4298-90ab-7880be4f0281v1\u001b\\\u001b[32m1v1'\u001b[0m\u001b]8;;\u001b\\.                                                                                      \u001b[2m             \u001b[0m\n"
      ]
     },
     "metadata": {},
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    },
    {
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       "version_minor": 0
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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\">[11:25:30] </span>status = queued                                                                            <a href=\"file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\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://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#271\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">271</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[11:25:30]\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                                            \u001b]8;id=220566;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=604587;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#271\u001b\\\u001b[2m271\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
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    },
    {
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       "Output()"
      ]
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[11:25:33] </span>status = preprocess                                                                        <a href=\"file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\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://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#265\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">265</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[11:25:33]\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                                        \u001b]8;id=168979;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=68165;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#265\u001b\\\u001b[2m265\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"
      ],
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     },
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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\">[11:25:42] </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.361</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed FlexCredit  <a href=\"file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\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://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#288\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">288</span></a>\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[11:25:42]\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.361\u001b[0m. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit  \u001b]8;id=72785;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=499107;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#288\u001b\\\u001b[2m288\u001b[0m\u001b]8;;\u001b\\\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://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\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://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#292\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">292</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                                         \u001b]8;id=181717;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=499672;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#292\u001b\\\u001b[2m292\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://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\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://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#302\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">302</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                                             \u001b]8;id=361437;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=427253;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#302\u001b\\\u001b[2m302\u001b[0m\u001b]8;;\u001b\\\n"
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       "Output()"
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      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[11:28:00] </span>early shutoff detected, exiting.                                                           <a href=\"file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\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://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#316\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">316</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[11:28:00]\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected, exiting.                                                           \u001b]8;id=126092;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=893581;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#316\u001b\\\u001b[2m316\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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     },
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    },
    {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
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       "\n"
      ]
     },
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    },
    {
     "data": {
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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\">[11:28:01] </span>status = postprocess                                                                       <a href=\"file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\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://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#333\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">333</span></a>\n",
       "</pre>\n"
      ],
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       "\u001b[2;36m[11:28:01]\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                                                       \u001b]8;id=5809;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=721794;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#333\u001b\\\u001b[2m333\u001b[0m\u001b]8;;\u001b\\\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\">[11:28:23] </span>status = success                                                                           <a href=\"file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\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://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#340\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">340</span></a>\n",
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       "\u001b[2;36m[11:28:23]\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                                           \u001b]8;id=585603;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=874965;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#340\u001b\\\u001b[2m340\u001b[0m\u001b]8;;\u001b\\\n"
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      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[11:28:28] </span>loading SimulationData from data/simulation_data.hdf5                                      <a href=\"file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\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://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#512\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">512</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[11:28:28]\u001b[0m\u001b[2;36m \u001b[0mloading SimulationData from data/simulation_data.hdf5                                      \u001b]8;id=993618;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=239340;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#512\u001b\\\u001b[2m512\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "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": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "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(\"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": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "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": {},
   "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\">[11:28:31] </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'TE'</span> with task_id <span style=\"color: #008000; text-decoration-color: #008000\">'fdve-b233402f-6970-4750-a2d7-dc76e9ac5b54v1'</span>.              <a href=\"file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\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://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#139\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">139</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[11:28:31]\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'TE'\u001b[0m with task_id \u001b[32m'fdve-b233402f-6970-4750-a2d7-dc76e9ac5b54v1'\u001b[0m.              \u001b]8;id=83891;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=701895;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#139\u001b\\\u001b[2m139\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>View task using web UI at                                                                  <a href=\"file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\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://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#141\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">141</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-b233402f-6970-4750-a2d7-dc76e9ac5b54v1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-b233402f-6970-4750-a2d7-dc76e9ac5b5</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-b233402f-6970-4750-a2d7-dc76e9ac5b54v1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">4v1'</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=105900;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=144797;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#141\u001b\\\u001b[2m141\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=993497;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b233402f-6970-4750-a2d7-dc76e9ac5b54v1\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=759686;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b233402f-6970-4750-a2d7-dc76e9ac5b54v1\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=993497;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b233402f-6970-4750-a2d7-dc76e9ac5b54v1\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=939955;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b233402f-6970-4750-a2d7-dc76e9ac5b54v1\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=993497;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b233402f-6970-4750-a2d7-dc76e9ac5b54v1\u001b\\\u001b[32m-b233402f-6970-4750-a2d7-dc76e9ac5b5\u001b[0m\u001b]8;;\u001b\\ \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=993497;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b233402f-6970-4750-a2d7-dc76e9ac5b54v1\u001b\\\u001b[32m4v1'\u001b[0m\u001b]8;;\u001b\\.                                                                                      \u001b[2m             \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[11:28:33] </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'TM'</span> with task_id <span style=\"color: #008000; text-decoration-color: #008000\">'fdve-0695304b-fdc5-463c-9cbd-4cd31e9ef6d1v1'</span>.              <a href=\"file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\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://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#139\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">139</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[11:28:33]\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'TM'\u001b[0m with task_id \u001b[32m'fdve-0695304b-fdc5-463c-9cbd-4cd31e9ef6d1v1'\u001b[0m.              \u001b]8;id=203509;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=314301;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#139\u001b\\\u001b[2m139\u001b[0m\u001b]8;;\u001b\\\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\">           </span>View task using web UI at                                                                  <a href=\"file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\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://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#141\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">141</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-0695304b-fdc5-463c-9cbd-4cd31e9ef6d1v1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-0695304b-fdc5-463c-9cbd-4cd31e9ef6d</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-0695304b-fdc5-463c-9cbd-4cd31e9ef6d1v1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">1v1'</span></a>.                                                                                      <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
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       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                                                  \u001b]8;id=518415;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=185627;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#141\u001b\\\u001b[2m141\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=437138;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0695304b-fdc5-463c-9cbd-4cd31e9ef6d1v1\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=692556;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0695304b-fdc5-463c-9cbd-4cd31e9ef6d1v1\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=437138;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0695304b-fdc5-463c-9cbd-4cd31e9ef6d1v1\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=899077;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0695304b-fdc5-463c-9cbd-4cd31e9ef6d1v1\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=437138;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0695304b-fdc5-463c-9cbd-4cd31e9ef6d1v1\u001b\\\u001b[32m-0695304b-fdc5-463c-9cbd-4cd31e9ef6d\u001b[0m\u001b]8;;\u001b\\ \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=437138;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0695304b-fdc5-463c-9cbd-4cd31e9ef6d1v1\u001b\\\u001b[32m1v1'\u001b[0m\u001b]8;;\u001b\\.                                                                                      \u001b[2m             \u001b[0m\n"
      ]
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       "Output()"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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       "<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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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[11:28:35] </span>Started working on Batch.                                                               <a href=\"file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\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://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\container.py#411\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">411</span></a>\n",
       "</pre>\n"
      ],
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       "\u001b[2;36m[11:28:35]\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch.                                                               \u001b]8;id=849469;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\container.py\u001b\\\u001b[2mcontainer.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=248974;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\container.py#411\u001b\\\u001b[2m411\u001b[0m\u001b]8;;\u001b\\\n"
      ]
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       "Output()"
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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\">[11:30:24] </span>Batch complete.                                                                         <a href=\"file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\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://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\container.py#451\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">451</span></a>\n",
       "</pre>\n"
      ],
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       "\u001b[2;36m[11:30:24]\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                                         \u001b]8;id=81135;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\container.py\u001b\\\u001b[2mcontainer.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=247318;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\container.py#451\u001b\\\u001b[2m451\u001b[0m\u001b]8;;\u001b\\\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\"></pre>\n"
      ],
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     },
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    },
    {
     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
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       "\n"
      ]
     },
     "metadata": {},
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    }
   ],
   "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": {},
   "outputs": [
    {
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      ],
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       "</pre>\n"
      ],
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       "\n"
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       "</pre>\n"
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       "\u001b[2;36m[11:30:27]\u001b[0m\u001b[2;36m \u001b[0mloading SimulationData from data\\fdve-\u001b[93mb233402f-6970-4750-a2d7-dc76e9ac5b54\u001b[0mv1.hdf5          \u001b]8;id=308818;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=615601;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#512\u001b\\\u001b[2m512\u001b[0m\u001b]8;;\u001b\\\n"
      ]
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\n",
      "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(\"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": {},
   "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\">[11:30:29] </span>loading SimulationData from data\\fdve-<span style=\"color: #ffff00; text-decoration-color: #ffff00\">b233402f-6970-4750-a2d7-dc76e9ac5b54</span>v1.hdf5          <a href=\"file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\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://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#512\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">512</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[11:30:29]\u001b[0m\u001b[2;36m \u001b[0mloading SimulationData from data\\fdve-\u001b[93mb233402f-6970-4750-a2d7-dc76e9ac5b54\u001b[0mv1.hdf5          \u001b]8;id=869922;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=981994;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#512\u001b\\\u001b[2m512\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\">[11:30:30] </span>loading SimulationData from data\\fdve-<span style=\"color: #ffff00; text-decoration-color: #ffff00\">0695304b-fdc5-463c-9cbd-4cd31e9ef6d1</span>v1.hdf5          <a href=\"file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\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://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#512\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">512</span></a>\n",
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       "\u001b[2;36m[11:30:30]\u001b[0m\u001b[2;36m \u001b[0mloading SimulationData from data\\fdve-\u001b[93m0695304b-fdc5-463c-9cbd-4cd31e9ef6d1\u001b[0mv1.hdf5          \u001b]8;id=617102;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=856894;file://C:\\Users\\xinzhong\\anaconda3\\envs\\tidy3d_env\\lib\\site-packages\\tidy3d\\web\\webapi.py#512\u001b\\\u001b[2m512\u001b[0m\u001b]8;;\u001b\\\n"
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\n",
      "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",
    "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": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}