{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9a8fc81f-041f-4082-951c-3b7e4d6e1e96",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Defining gyrotropic materials\n",
    "\n",
    "Here we demonstrate the usage of Tidy3D simulation software for modeling of gyrotropic materials, that is, materials with Hermitian permittivity tensors. Currently, this is achieved by using [fully anisotropic dieletric medium](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FullyAnisotropicMedium.html) option with anisymmetric conductivity tensor. Specifically, let us consider modeling a material with total complex permittivity tensor \n",
    "$$\\varepsilon = \\varepsilon_u + i \\frac{\\sigma_u}{\\omega} + i \\varepsilon_0 G,$$ \n",
    "where $\\varepsilon_u$ and $\\sigma_u$ are real symmetric matrices describing unperturbed permittivity and conductivity of the material, and $G$ is a real antisymmetric matrix representing the magneto-optic effect. That is, \n",
    "$$G = \\begin{pmatrix} 0 & g_z & -g_y  \\\\ -g_z & 0 & g_x \\\\ g_y & -g_x & 0\\end{pmatrix}$$\n",
    "for a gyration vector $\\boldsymbol{g} = \\begin{pmatrix} g_x & g_y & g_z \\end{pmatrix}$. Denoting the electromagnetic frequency of interest as $\\omega_0$, we can approximate the complex permittivity of material in the vicinity of $\\omega_0$ as $$\\varepsilon \\approx \\varepsilon_u + i \\frac{1}{\\omega} \\left( \\sigma_u + \\varepsilon_0 G \\omega_0 \\right).$$ \n",
    "Thus, the gyrotropic effect of a medium can be modeled by providing a modified conductivity tensor $\\sigma = \\sigma_u + \\varepsilon_0 G \\omega_0$ that contains both symmetric and antisymmetric parts. Note that because of this approximation, the simulation results will be most accurate in the vicinity of the frequency of interest $\\omega_0$.\n",
    "\n",
    "For more simulation examples, please visit our [examples page](https://www.flexcompute.com/tidy3d/examples/). 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. FDTD simulations can diverge due to various reasons. If you run into any simulation divergence issues, please follow the steps outlined in our [troubleshooting guide](https://www.flexcompute.com/tidy3d/examples/notebooks/DivergedFDTDSimulation/) to resolve it."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3b58073b-4e6d-4a40-bf74-dfc61c6a3c3a",
   "metadata": {},
   "source": [
    "## Simulation setup"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3d3a04fc-8cb1-4eba-b90d-69761766709c",
   "metadata": {},
   "source": [
    "Let us now demonstrate simulation of plane wave propagation inside a gyrotropic material. Specifically, we will consider two simulations, one with $\\boldsymbol{g} = 0$ and another one with $\\boldsymbol{g} \\neq 0$. In the first, reference, simulation the injected plane wave is expected to preserve its polarization, while in the second case the polarization of the injected pulse will undergo rotation due to the gyrotropic properties of the background medium. The rotation degree can be predicted by analytical expressions. In section [Results](#Results) we apply it to the results of the reference simulation and compare with the results of the gyrotropic simulation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a36120b6-d7c4-49bd-9396-18baaa1ea5ce",
   "metadata": {},
   "outputs": [],
   "source": [
    "# standard python imports\n",
    "import matplotlib.pylab as plt\n",
    "import numpy as np\n",
    "\n",
    "# tidy3D import\n",
    "import tidy3d as td\n",
    "import tidy3d.web as web"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "11dfc19c-d87c-41f7-809c-4c891fdfc3de",
   "metadata": {},
   "source": [
    "We define an elongated simulation domain assuming wave propagation along $z$ direction and select sample frequencies in the vicinity of the wavelength of interest."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "1ce15f40-ec78-4b95-a3be-9b56ec5146bb",
   "metadata": {},
   "outputs": [],
   "source": [
    "# simulation domain\n",
    "sim_length = 10\n",
    "sim_size = [0.1, 0.1, sim_length]\n",
    "\n",
    "# central frequency\n",
    "wvl_um = 1\n",
    "freq0 = td.C_0 / wvl_um\n",
    "fwidth = freq0 / 10\n",
    "freqs = np.linspace(freq0 - fwidth, freq0 + fwidth, 5)\n",
    "\n",
    "run_time = 10 / fwidth"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4a470c3d-e378-4c77-8981-c1c6ec0f31b3",
   "metadata": {},
   "source": [
    "Properties of the unperturbed material."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "cda0d308-687b-49ab-ada3-bfebcaf763ec",
   "metadata": {},
   "outputs": [],
   "source": [
    "eps0 = 2\n",
    "permittivity_unperturbed = np.diag((eps0, eps0, eps0))\n",
    "conductivity_unperturbed = np.zeros((3, 3))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc6da355-424f-4cd5-b6fe-f36e09253d8e",
   "metadata": {},
   "source": [
    "Gyration vector along the propagation axis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "2d7e275e-6008-434e-b3cb-ca47e0eaa592",
   "metadata": {},
   "outputs": [],
   "source": [
    "g = (0, 0, 0.1)\n",
    "G = np.array([[0, g[2], g[1]], [-g[2], 0, g[0]], [-g[1], -g[0], 0]])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5233d603-c648-4ae5-9bbb-85ac70656000",
   "metadata": {},
   "source": [
    "Following the procedure outlined in the beginning of this tutorial we modify the material conductivity such that it accounts for material gyrotropic properties."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "291b0cd9-6671-491b-8fbb-072abd084ccb",
   "metadata": {},
   "outputs": [],
   "source": [
    "conductivity = conductivity_unperturbed + G * (2 * np.pi * freq0) * td.EPSILON_0"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b894750-2b5a-4532-988d-a4f902090fc7",
   "metadata": {},
   "source": [
    "Now we define two materials: a simple [isotropic medium](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Medium.html) to use in a reference simulation and a [fully anisotropic medium](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FullyAnisotropicMedium.html) for modeling the magneto-optic effect."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "468b0773-2068-46eb-a154-9dad66617257",
   "metadata": {},
   "outputs": [],
   "source": [
    "medium_unperturbed = td.Medium(permittivity=eps0)\n",
    "medium_gyrotropic = td.FullyAnisotropicMedium(\n",
    "    permittivity=permittivity_unperturbed, conductivity=conductivity\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f09ff522-79b2-43ab-865a-95e876d22104",
   "metadata": {},
   "source": [
    "Given the simulation geometry we place PML boundary conditions along the propagation axis and periodic boundary conditions in the orthogonal directions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "4189b0a8-a150-4362-8848-2b9247315c0e",
   "metadata": {},
   "outputs": [],
   "source": [
    "boundary_spec = td.BoundarySpec(\n",
    "    x=td.Boundary.periodic(),\n",
    "    y=td.Boundary.periodic(),\n",
    "    z=td.Boundary.pml(),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b2604c27-d771-426a-bd86-14690c1324c6",
   "metadata": {},
   "source": [
    "We will track field distribution along the propagation axis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "4314d437-be3b-4bf3-80d6-6be28b06b2a4",
   "metadata": {},
   "outputs": [],
   "source": [
    "mnt_xz = td.FieldMonitor(\n",
    "    center=(0, 0, 0),\n",
    "    size=(0, 0, td.inf),\n",
    "    freqs=freqs,\n",
    "    name=\"freq_mnt_xz\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1cc1958f-6c05-4b2f-ac31-443d680fbc64",
   "metadata": {},
   "source": [
    "Since Tidy3D does not currently support injection of [unidirectional plane waves](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.PlaneWave.html) into anisotropic material, we use [a uniform current source](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.UniformCurrentSource.html) to initiate a planar (bidirectional) propagating pulse."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "bcebfa0d-7fb1-422f-b51d-4dad021b62a4",
   "metadata": {},
   "outputs": [],
   "source": [
    "source = td.UniformCurrentSource(\n",
    "    center=(0, 0, -sim_length / 2.5),\n",
    "    size=(td.inf, td.inf, 0),\n",
    "    source_time=td.GaussianPulse(freq0=freq0, fwidth=fwidth),\n",
    "    polarization=\"Ex\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0686179a-c0dc-47c5-9cb7-03a2f7a79bf6",
   "metadata": {},
   "source": [
    "Use automatic grid discretization based on the requested number of steps per source wavelength."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "f84977a5-03e7-4c6f-b7ca-3aebde9ff6b0",
   "metadata": {},
   "outputs": [],
   "source": [
    "grid_spec = td.GridSpec.auto(min_steps_per_wvl=30)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0512f004-8020-4d31-b6a6-6f63450e3827",
   "metadata": {},
   "source": [
    "Combining defined above components we create two simulation, with and without gyrotropic effect."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b857a1a9-a632-4e42-b418-c4dc84e2d965",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Propagation in an unperturbed medium\n",
    "sim_unperturbed = td.Simulation(\n",
    "    size=sim_size,\n",
    "    grid_spec=grid_spec,\n",
    "    medium=medium_unperturbed,\n",
    "    sources=[source],\n",
    "    monitors=[mnt_xz],\n",
    "    run_time=run_time,\n",
    "    boundary_spec=boundary_spec,\n",
    ")\n",
    "\n",
    "# Propagation in a gyrotropic medium\n",
    "sim_gyrotropic = td.Simulation(\n",
    "    size=sim_size,\n",
    "    grid_spec=grid_spec,\n",
    "    medium=medium_gyrotropic,\n",
    "    sources=[source],\n",
    "    monitors=[mnt_xz],\n",
    "    run_time=run_time,\n",
    "    boundary_spec=boundary_spec,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a88a310-e64f-40b0-b020-5f27ebd57d26",
   "metadata": {},
   "source": [
    "Visualize simulation for setup confirmation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "d96d2322-f7e7-4e9c-8b3c-7d557e62f73f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 200x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, ax = plt.subplots(1, 1, figsize=(2, 3))\n",
    "sim_gyrotropic.plot(y=0, ax=ax)\n",
    "ax.set_aspect(\"auto\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa094e99-6362-428b-993d-fb49f37767e0",
   "metadata": {},
   "source": [
    "## Results"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea0e8bcf-1c1e-4cd3-a24a-0bb4655f16e8",
   "metadata": {},
   "source": [
    "Submit and run simulations on the server."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "ed410168-9199-4b88-93f1-4d89032ab7b0",
   "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\">12:47:55 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'gyrotropic_reference'</span> with task_id                   \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-22d51159-07d0-4ef9-a001-f1c44afae92b'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m12:47:55 UTC\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'gyrotropic_reference'\u001b[0m with task_id                   \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-22d51159-07d0-4ef9-a001-f1c44afae92b'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-22d51159-07d0-4ef9-a001-f1c44afae92b\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-22d51159-07d</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-22d51159-07d0-4ef9-a001-f1c44afae92b\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">0-4ef9-a001-f1c44afae92b'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=516130;https://tidy3d.simulation.cloud/workbench?taskId=fdve-22d51159-07d0-4ef9-a001-f1c44afae92b\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=946326;https://tidy3d.simulation.cloud/workbench?taskId=fdve-22d51159-07d0-4ef9-a001-f1c44afae92b\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=516130;https://tidy3d.simulation.cloud/workbench?taskId=fdve-22d51159-07d0-4ef9-a001-f1c44afae92b\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=194777;https://tidy3d.simulation.cloud/workbench?taskId=fdve-22d51159-07d0-4ef9-a001-f1c44afae92b\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=516130;https://tidy3d.simulation.cloud/workbench?taskId=fdve-22d51159-07d0-4ef9-a001-f1c44afae92b\u001b\\\u001b[32m-22d51159-07d\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=516130;https://tidy3d.simulation.cloud/workbench?taskId=fdve-22d51159-07d0-4ef9-a001-f1c44afae92b\u001b\\\u001b[32m0-4ef9-a001-f1c44afae92b'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=438909;https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3a06c42453b8443aa80ed74c502005d1",
       "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\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">12:47:58 UTC </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task       \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m12:47:58 UTC\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task       \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">12:47:59 UTC </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m12:47:59 UTC\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "02a703d5fa2e47cdb21ff6740cdaec28",
       "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\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">12:48:57 UTC </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m12:48:57 UTC\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">12:48:58 UTC </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m12:48:58 UTC\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "abc7bb4880624c438381c2adb3478cdb",
       "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\">             </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">28</span>%, exiting.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m28\u001b[0m%, exiting.                            \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\">12:48:59 UTC </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m12:48:59 UTC\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-22d51159-07d0-4ef9-a001-f1c44afae92b\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-22d51159-07d</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-22d51159-07d0-4ef9-a001-f1c44afae92b\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">0-4ef9-a001-f1c44afae92b'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=50551;https://tidy3d.simulation.cloud/workbench?taskId=fdve-22d51159-07d0-4ef9-a001-f1c44afae92b\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=596791;https://tidy3d.simulation.cloud/workbench?taskId=fdve-22d51159-07d0-4ef9-a001-f1c44afae92b\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=50551;https://tidy3d.simulation.cloud/workbench?taskId=fdve-22d51159-07d0-4ef9-a001-f1c44afae92b\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=855998;https://tidy3d.simulation.cloud/workbench?taskId=fdve-22d51159-07d0-4ef9-a001-f1c44afae92b\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=50551;https://tidy3d.simulation.cloud/workbench?taskId=fdve-22d51159-07d0-4ef9-a001-f1c44afae92b\u001b\\\u001b[4;34m-22d51159-07d\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=50551;https://tidy3d.simulation.cloud/workbench?taskId=fdve-22d51159-07d0-4ef9-a001-f1c44afae92b\u001b\\\u001b[4;34m0-4ef9-a001-f1c44afae92b'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "90cf8ca03e2f404580a88c9e03ba1de4",
       "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\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">12:49:00 UTC </span>loading simulation from data/simulation_data_gyrotropic_ref.hdf5   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m12:49:00 UTC\u001b[0m\u001b[2;36m \u001b[0mloading simulation from data/simulation_data_gyrotropic_ref.hdf5   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">12:49:01 UTC </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'gyrotropic'</span> with task_id                             \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-1fdfa4bc-fadc-4927-ae76-15ec78b05004'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m12:49:01 UTC\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'gyrotropic'\u001b[0m with task_id                             \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-1fdfa4bc-fadc-4927-ae76-15ec78b05004'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-1fdfa4bc-fadc-4927-ae76-15ec78b05004\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-1fdfa4bc-fad</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-1fdfa4bc-fadc-4927-ae76-15ec78b05004\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">c-4927-ae76-15ec78b05004'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=363802;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1fdfa4bc-fadc-4927-ae76-15ec78b05004\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=917062;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1fdfa4bc-fadc-4927-ae76-15ec78b05004\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=363802;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1fdfa4bc-fadc-4927-ae76-15ec78b05004\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=228938;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1fdfa4bc-fadc-4927-ae76-15ec78b05004\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=363802;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1fdfa4bc-fadc-4927-ae76-15ec78b05004\u001b\\\u001b[32m-1fdfa4bc-fad\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=363802;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1fdfa4bc-fadc-4927-ae76-15ec78b05004\u001b\\\u001b[32mc-4927-ae76-15ec78b05004'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=36491;https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "508b69c7fda8476c8fd4329741da9248",
       "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\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">12:49:03 UTC </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task       \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m12:49:03 UTC\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task       \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">12:49:05 UTC </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m12:49:05 UTC\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "80b22436121a46048d4e4bfa2f7a6fa7",
       "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\">12:55:59 UTC </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m12:55:59 UTC\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">12:56:04 UTC </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m12:56:04 UTC\u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "78c82983f3d34119b4695abb98f25de8",
       "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\">12:56:05 UTC </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">28</span>%, exiting.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m12:56:05 UTC\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m28\u001b[0m%, exiting.                            \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\">             </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-1fdfa4bc-fadc-4927-ae76-15ec78b05004\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-1fdfa4bc-fad</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-1fdfa4bc-fadc-4927-ae76-15ec78b05004\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">c-4927-ae76-15ec78b05004'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=396394;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1fdfa4bc-fadc-4927-ae76-15ec78b05004\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=152839;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1fdfa4bc-fadc-4927-ae76-15ec78b05004\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=396394;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1fdfa4bc-fadc-4927-ae76-15ec78b05004\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=7902;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1fdfa4bc-fadc-4927-ae76-15ec78b05004\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=396394;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1fdfa4bc-fadc-4927-ae76-15ec78b05004\u001b\\\u001b[4;34m-1fdfa4bc-fad\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=396394;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1fdfa4bc-fadc-4927-ae76-15ec78b05004\u001b\\\u001b[4;34mc-4927-ae76-15ec78b05004'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e45d5b55e760440da9ffb6eb1e800ed3",
       "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\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">12:56:07 UTC </span>loading simulation from data/simulation_data_gyrotropic.hdf5       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m12:56:07 UTC\u001b[0m\u001b[2;36m \u001b[0mloading simulation from data/simulation_data_gyrotropic.hdf5       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_unperturbed = web.run(\n",
    "    simulation=sim_unperturbed,\n",
    "    task_name=\"gyrotropic_reference\",\n",
    "    path=\"data/simulation_data_gyrotropic_ref.hdf5\",\n",
    "    verbose=True,\n",
    ")\n",
    "data_gyrotropic = web.run(\n",
    "    simulation=sim_gyrotropic,\n",
    "    task_name=\"gyrotropic\",\n",
    "    path=\"data/simulation_data_gyrotropic.hdf5\",\n",
    "    verbose=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e019fa5b-af1e-45c9-987a-85abcb88da1a",
   "metadata": {},
   "source": [
    "Now we compare the simulation results to analytically predicted behavior. It is known that in the gyrotropic medium propagation along gyration axis allows two circularly polarized normal modes with propagation constants given by\n",
    "$$n_{\\pm} = \\sqrt{n^2 \\pm G}$$\n",
    "and the rotatory power (rotation angle per unit length) of the medium is given by \n",
    "$$\\rho = \\frac{\\pi}{\\lambda_0} \\left(n_- - n_+\\right).$$"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "510c1b05-4063-49c6-ac3f-4da352576960",
   "metadata": {},
   "source": [
    "First we consider central frequency for which we expect simulation results to be the most accurate."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "100fc296-0e8d-4154-a3f2-2661cc099df6",
   "metadata": {},
   "outputs": [],
   "source": [
    "freq_ind = len(freqs) // 2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5e080644-93da-4f86-860b-0966a0df4dbe",
   "metadata": {},
   "source": [
    "To obtain reference field distribution we extract numerical data from the reference simulation and apply rotation of polarization as predicted by the theory."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "5d302961-7f73-41f7-b62d-34ea6b3d885d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# reference (constant polarization) wave propagation\n",
    "Ex_ref = (\n",
    "    data_unperturbed[\"freq_mnt_xz\"].field_components[\"Ex\"].isel({\"f\": freq_ind, \"x\": 0, \"y\": 0})\n",
    ")\n",
    "\n",
    "# predicted rotatory power at chosen wavelength\n",
    "wvl = td.C_0 / freqs[freq_ind]\n",
    "n_minus = np.sqrt(eps0 - g[2])\n",
    "n_plus = np.sqrt(eps0 + g[2])\n",
    "rho = np.pi / wvl * (n_minus - n_plus)\n",
    "\n",
    "# rotation factor along propagation direction\n",
    "coord = Ex_ref.coords[\"z\"]\n",
    "src_coord = source.center[2]\n",
    "dist = coord.data - src_coord\n",
    "factor_x = np.cos(rho * dist).real\n",
    "factor_y = -np.sin(rho * abs(dist)).real\n",
    "\n",
    "# rotated polarizations\n",
    "Ex_theory = Ex_ref * factor_x\n",
    "Ey_theory = Ex_ref * factor_y"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8fc45df0-1fee-4ed1-a13b-97ad15f60c1f",
   "metadata": {},
   "source": [
    "Extract simulation data at the chosen frequency."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "425e2ad3-3076-4630-97ff-bdee8a8b7d08",
   "metadata": {},
   "outputs": [],
   "source": [
    "Ex_num = data_gyrotropic[\"freq_mnt_xz\"].field_components[\"Ex\"].isel({\"f\": freq_ind, \"x\": 0, \"y\": 0})\n",
    "\n",
    "Ey_num = data_gyrotropic[\"freq_mnt_xz\"].field_components[\"Ey\"].isel({\"f\": freq_ind, \"x\": 0, \"y\": 0})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5a82e6e-0e44-40d8-acc2-719a55305a82",
   "metadata": {},
   "source": [
    "Plot the comparison."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "0ca8a218-a4dc-4c33-b1de-83b2a6bcab38",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(2, 1, figsize=(8, 6))\n",
    "Ex_num.real.plot(ax=ax[0])\n",
    "Ex_theory.real.plot(ax=ax[0], ls=\"--\")\n",
    "ax[0].set_ylabel(\"Re[Ex]\")\n",
    "ax[0].legend([\"Simulation\", \"Theory\"])\n",
    "\n",
    "Ey_num.real.plot(ax=ax[1])\n",
    "Ey_theory.real.plot(ax=ax[1], ls=\"--\")\n",
    "ax[1].set_ylabel(\"Re[Ey]\")\n",
    "ax[1].legend([\"Simulation\", \"Theory\"])\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce54520a-014e-4518-9888-9eb57bfbe3ae",
   "metadata": {},
   "source": [
    "As one can see the simulation results for magneto-optic effect matches very closely the predicted behavior. Note that this comparison is made at the central wavelength. If we repeat the same comparison away from central wavelength the accuracy of simulation results will degrade because of the approximations made in defining properties of the gyrotropic medium."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "208b353f-bebb-4ce7-ba8a-f904800a495c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# choose frequency index (out of 5)\n",
    "freq_ind = 0\n",
    "\n",
    "# reference (constant polarization) wave propagation\n",
    "Ex_ref = (\n",
    "    data_unperturbed[\"freq_mnt_xz\"].field_components[\"Ex\"].isel({\"f\": freq_ind, \"x\": 0, \"y\": 0})\n",
    ")\n",
    "\n",
    "# predicted rotatory power at chosen wavelength\n",
    "wvl = td.C_0 / freqs[freq_ind]\n",
    "n_minus = np.sqrt(eps0 - g[2])\n",
    "n_plus = np.sqrt(eps0 + g[2])\n",
    "rho = np.pi / wvl * (n_minus - n_plus)\n",
    "\n",
    "# rotation factor along propagation direction\n",
    "coord = Ex_ref.coords[\"z\"]\n",
    "src_coord = source.center[2]\n",
    "dist = coord.data - src_coord\n",
    "factor_x = np.cos(rho * dist).real\n",
    "factor_y = -np.sin(rho * abs(dist)).real\n",
    "\n",
    "# rotated polarizations\n",
    "Ex_theory = Ex_ref * factor_x\n",
    "Ey_theory = Ex_ref * factor_y\n",
    "\n",
    "# extract simulation data at the chosen frequency\n",
    "Ex_num = data_gyrotropic[\"freq_mnt_xz\"].field_components[\"Ex\"].isel({\"f\": freq_ind, \"x\": 0, \"y\": 0})\n",
    "\n",
    "Ey_num = data_gyrotropic[\"freq_mnt_xz\"].field_components[\"Ey\"].isel({\"f\": freq_ind, \"x\": 0, \"y\": 0})\n",
    "\n",
    "# plot comparison\n",
    "fig, ax = plt.subplots(2, 1, figsize=(8, 6))\n",
    "Ex_num.real.plot(ax=ax[0])\n",
    "Ex_theory.real.plot(ax=ax[0], ls=\"--\")\n",
    "ax[0].set_ylabel(\"Re[Ex]\")\n",
    "ax[0].legend([\"Simulation\", \"Theory\"])\n",
    "\n",
    "Ey_num.real.plot(ax=ax[1])\n",
    "Ey_theory.real.plot(ax=ax[1], ls=\"--\")\n",
    "ax[1].set_ylabel(\"Re[Ey]\")\n",
    "ax[1].legend([\"Simulation\", \"Theory\"])\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f90d785c",
   "metadata": {},
   "source": [
    "Gyrotropic materials are only a special type of the [FullyAnisotropicMedium](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FullyAnisotropicMedium.html). For more general cases, see the tutorial on [defining fully anisotropic materials](https://www.flexcompute.com/tidy3d/examples/notebooks/FullyAnisotropic/)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "07366e72",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "description": "This notebook demonstrates how to define gyrotropic materials in Tidy3D for FDTD simulations.",
  "feature_imag": "",
  "feature_image": "N/A",
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "keywords": "gyrotropic material, Tidy3D, FDTD",
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.2"
  },
  "title": "Defining Gyrotropic Materials in Tidy3D | Flexcompute",
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