Gyrotropic.ipynb

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    "# 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."
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   "source": [
    "## Simulation setup"
   ]
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    "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."
   ]
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   "source": [
    "# standard python imports\n",
    "import numpy as np\n",
    "import matplotlib.pylab as plt\n",
    "\n",
    "# tidy3D import\n",
    "import tidy3d as td\n",
    "import tidy3d.web as web"
   ]
  },
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   "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."
   ]
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   "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"
   ]
  },
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   "cell_type": "markdown",
   "id": "4a470c3d-e378-4c77-8981-c1c6ec0f31b3",
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   "source": [
    "Properties of the unperturbed material."
   ]
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   "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."
   ]
  },
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   "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]])"
   ]
  },
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   "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."
   ]
  },
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   "source": [
    "conductivity = conductivity_unperturbed + G * (2 * np.pi * freq0) * td.EPSILON_0"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b894750-2b5a-4532-988d-a4f902090fc7",
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   "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."
   ]
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   "id": "468b0773-2068-46eb-a154-9dad66617257",
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   "source": [
    "medium_unperturbed = td.Medium(permittivity=eps0)\n",
    "medium_gyrotropic = td.FullyAnisotropicMedium(permittivity=permittivity_unperturbed, conductivity=conductivity)"
   ]
  },
  {
   "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"
   ]
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   "source": [
    "boundary_spec = td.BoundarySpec(\n",
    "    x=td.Boundary.periodic(),\n",
    "    y=td.Boundary.periodic(),\n",
    "    z=td.Boundary.pml(),\n",
    ")"
   ]
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   "source": [
    "We will track field distribution along the propagation axis."
   ]
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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\">[13:07:16] </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Default value for the field monitor          </span> <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/components/monitor.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">monitor.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/components/monitor.py#261\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">261</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'colocate'</span><span style=\"color: #800000; text-decoration-color: #800000\"> setting has changed to </span><span style=\"color: #008000; text-decoration-color: #008000\">'True'</span><span style=\"color: #800000; text-decoration-color: #800000\"> in Tidy3D    </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">              </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.4</span><span style=\"color: #800000; text-decoration-color: #800000\">.</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span><span style=\"color: #800000; text-decoration-color: #800000\">. All field components will be colocated to the  </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">              </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #800000; text-decoration-color: #800000\">grid boundaries. Set to </span><span style=\"color: #008000; text-decoration-color: #008000\">'False'</span><span style=\"color: #800000; text-decoration-color: #800000\"> to get the raw fields </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">              </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #800000; text-decoration-color: #800000\">on the Yee grid instead.                              </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">              </span>\n",
       "</pre>\n"
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       "\u001b[2;36m[13:07:16]\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Default value for the field monitor          \u001b[0m \u001b]8;id=859817;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/components/monitor.py\u001b\\\u001b[2mmonitor.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=627533;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/components/monitor.py#261\u001b\\\u001b[2m261\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b[32m'colocate'\u001b[0m\u001b[31m setting has changed to \u001b[0m\u001b[32m'True'\u001b[0m\u001b[31m in Tidy3D    \u001b[0m \u001b[2m              \u001b[0m\n",
       "\u001b[2;36m           \u001b[0m\u001b[1;36m2.4\u001b[0m\u001b[31m.\u001b[0m\u001b[1;36m0\u001b[0m\u001b[31m. All field components will be colocated to the  \u001b[0m \u001b[2m              \u001b[0m\n",
       "\u001b[2;36m           \u001b[0m\u001b[31mgrid boundaries. Set to \u001b[0m\u001b[32m'False'\u001b[0m\u001b[31m to get the raw fields \u001b[0m \u001b[2m              \u001b[0m\n",
       "\u001b[2;36m           \u001b[0m\u001b[31mon the Yee grid instead.                              \u001b[0m \u001b[2m              \u001b[0m\n"
      ]
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    }
   ],
   "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."
   ]
  },
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     "shell.execute_reply": "2023-08-18T20:07:16.528519Z"
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   },
   "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",
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   },
   "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",
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   "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,
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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": {
    "execution": {
     "iopub.execute_input": "2023-08-18T20:07:16.861818Z",
     "iopub.status.busy": "2023-08-18T20:07:16.861622Z",
     "iopub.status.idle": "2023-08-18T20:08:06.008643Z",
     "shell.execute_reply": "2023-08-18T20:08:06.007983Z"
    }
   },
   "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\">[13:07:17] </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'gyrotropic_reference'</span> with task_id        <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#188\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">188</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-0a3b96df-5a09-4192-82fb-ec14c13e0a98v1'</span>.          <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[13:07:17]\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'gyrotropic_reference'\u001b[0m with task_id        \u001b]8;id=813463;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=243503;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#188\u001b\\\u001b[2m188\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b[32m'fdve-0a3b96df-5a09-4192-82fb-ec14c13e0a98v1'\u001b[0m.          \u001b[2m             \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>View task using web UI at                               <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#190\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">190</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-0a3b96df-5a09-4192-82fb-ec14c13e0a98v1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-</span></a> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-0a3b96df-5a09-4192-82fb-ec14c13e0a98v1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">0a3b96df-5a09-4192-82fb-ec14c13e0a98v1'</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=33090;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=729538;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#190\u001b\\\u001b[2m190\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=311087;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0a3b96df-5a09-4192-82fb-ec14c13e0a98v1\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=268653;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0a3b96df-5a09-4192-82fb-ec14c13e0a98v1\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=311087;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0a3b96df-5a09-4192-82fb-ec14c13e0a98v1\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=375172;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0a3b96df-5a09-4192-82fb-ec14c13e0a98v1\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=311087;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0a3b96df-5a09-4192-82fb-ec14c13e0a98v1\u001b\\\u001b[32m-\u001b[0m\u001b]8;;\u001b\\ \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=311087;https://tidy3d.simulation.cloud/workbench?taskId=fdve-0a3b96df-5a09-4192-82fb-ec14c13e0a98v1\u001b\\\u001b[32m0a3b96df-5a09-4192-82fb-ec14c13e0a98v1'\u001b[0m\u001b]8;;\u001b\\.                \u001b[2m             \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
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       "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\">[13:07:18] </span>status = queued                                         <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#361\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">361</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[13:07:18]\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                         \u001b]8;id=80960;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=641498;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#361\u001b\\\u001b[2m361\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "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\">[13:07:26] </span>status = preprocess                                     <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#355\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">355</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[13:07:26]\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                     \u001b]8;id=778576;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=371665;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#355\u001b\\\u001b[2m355\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
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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\">[13:07:30] </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use                     <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#341\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">341</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed FlexCredit   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>cost after a simulation run.                            <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[13:07:30]\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Use                     \u001b]8;id=825256;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=289197;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#341\u001b\\\u001b[2m341\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit   \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0mcost after a simulation run.                            \u001b[2m             \u001b[0m\n"
      ]
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>starting up solver                                      <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#377\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">377</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                      \u001b]8;id=27517;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=823517;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#377\u001b\\\u001b[2m377\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>running solver                                          <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#386\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">386</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                          \u001b]8;id=191711;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=139624;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#386\u001b\\\u001b[2m386\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or   <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#387\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">387</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>web UI. Terminating the Python script will not stop the <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>job running on the cloud.                               <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or   \u001b]8;id=383895;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=5245;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#387\u001b\\\u001b[2m387\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the   \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0mweb UI. Terminating the Python script will not stop the \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0mjob running on the cloud.                               \u001b[2m             \u001b[0m\n"
      ]
     },
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    {
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      },
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       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[13:07:36] </span>early shutoff detected, exiting.                        <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#404\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">404</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[13:07:36]\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected, exiting.                        \u001b]8;id=453881;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=389945;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#404\u001b\\\u001b[2m404\u001b[0m\u001b]8;;\u001b\\\n"
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    {
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       "</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\">           </span>status = postprocess                                    <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#419\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">419</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                    \u001b]8;id=735024;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=27418;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#419\u001b\\\u001b[2m419\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
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       "Output()"
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       "<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\">[13:07:40] </span>status = success                                        <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#426\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">426</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[13:07:40]\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                        \u001b]8;id=817540;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=958029;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#426\u001b\\\u001b[2m426\u001b[0m\u001b]8;;\u001b\\\n"
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       "<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"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[13:07:41] </span>loading SimulationData from                             <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#590\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">590</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>data/simulation_data_gyrotropic_ref.hdf5                <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[13:07:41]\u001b[0m\u001b[2;36m \u001b[0mloading SimulationData from                             \u001b]8;id=233442;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=165155;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#590\u001b\\\u001b[2m590\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0mdata/simulation_data_gyrotropic_ref.hdf5                \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>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'gyrotropic'</span> with task_id                  <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#188\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">188</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-cc50998f-f091-451f-a0c9-a4876a9c7b0av1'</span>.          <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'gyrotropic'\u001b[0m with task_id                  \u001b]8;id=980405;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=187445;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#188\u001b\\\u001b[2m188\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b[32m'fdve-cc50998f-f091-451f-a0c9-a4876a9c7b0av1'\u001b[0m.          \u001b[2m             \u001b[0m\n"
      ]
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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\">           </span>View task using web UI at                               <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#190\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">190</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-cc50998f-f091-451f-a0c9-a4876a9c7b0av1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-</span></a> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-cc50998f-f091-451f-a0c9-a4876a9c7b0av1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">cc50998f-f091-451f-a0c9-a4876a9c7b0av1'</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=75440;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=351522;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#190\u001b\\\u001b[2m190\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=331173;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cc50998f-f091-451f-a0c9-a4876a9c7b0av1\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=120987;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cc50998f-f091-451f-a0c9-a4876a9c7b0av1\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=331173;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cc50998f-f091-451f-a0c9-a4876a9c7b0av1\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=789290;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cc50998f-f091-451f-a0c9-a4876a9c7b0av1\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=331173;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cc50998f-f091-451f-a0c9-a4876a9c7b0av1\u001b\\\u001b[32m-\u001b[0m\u001b]8;;\u001b\\ \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=331173;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cc50998f-f091-451f-a0c9-a4876a9c7b0av1\u001b\\\u001b[32mcc50998f-f091-451f-a0c9-a4876a9c7b0av1'\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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     },
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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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      "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\">[13:07:42] </span>status = queued                                         <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#361\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">361</span></a>\n",
       "</pre>\n"
      ],
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       "\u001b[2;36m[13:07:42]\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                         \u001b]8;id=869402;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=710806;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#361\u001b\\\u001b[2m361\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\">[13:07:51] </span>status = preprocess                                     <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#355\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">355</span></a>\n",
       "</pre>\n"
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       "\u001b[2;36m[13:07:51]\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                     \u001b]8;id=721258;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=546819;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#355\u001b\\\u001b[2m355\u001b[0m\u001b]8;;\u001b\\\n"
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       "<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\">[13:07:55] </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use                     <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#341\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">341</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed FlexCredit   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>cost after a simulation run.                            <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[13:07:55]\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Use                     \u001b]8;id=30661;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=701909;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#341\u001b\\\u001b[2m341\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit   \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0mcost after a simulation run.                            \u001b[2m             \u001b[0m\n"
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       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                      \u001b]8;id=443536;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=628856;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#377\u001b\\\u001b[2m377\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\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>running solver                                          <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#386\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">386</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                          \u001b]8;id=194237;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=801393;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#386\u001b\\\u001b[2m386\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or   <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#387\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">387</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>web UI. Terminating the Python script will not stop the <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>job running on the cloud.                               <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or   \u001b]8;id=755629;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=867527;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#387\u001b\\\u001b[2m387\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the   \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0mweb UI. Terminating the Python script will not stop the \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0mjob running on the cloud.                               \u001b[2m             \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "model_id": "c22eb927112544d59ef5992c1e6e9731",
       "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\">[13:08:01] </span>early shutoff detected, exiting.                        <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#404\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">404</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[13:08:01]\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected, exiting.                        \u001b]8;id=791691;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=316854;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#404\u001b\\\u001b[2m404\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\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\">           </span>status = postprocess                                    <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#419\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">419</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                    \u001b]8;id=914134;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=223456;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#419\u001b\\\u001b[2m419\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "model_id": "c527de46812e402995c2083985cc13e4",
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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\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[13:08:05] </span>status = success                                        <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#426\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">426</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[13:08:05]\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                        \u001b]8;id=589912;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=572629;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#426\u001b\\\u001b[2m426\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
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    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
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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\"></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\">           </span>loading SimulationData from                             <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#590\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">590</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>data/simulation_data_gyrotropic.hdf5                    <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mloading SimulationData from                             \u001b]8;id=531399;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=631901;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#590\u001b\\\u001b[2m590\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0mdata/simulation_data_gyrotropic.hdf5                    \u001b[2m             \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_unperturbed = web.run(simulation=sim_unperturbed, task_name=\"gyrotropic_reference\", path=\"data/simulation_data_gyrotropic_ref.hdf5\", verbose=True)\n",
    "data_gyrotropic = web.run(simulation=sim_gyrotropic, task_name=\"gyrotropic\", path=\"data/simulation_data_gyrotropic.hdf5\", verbose=True)"
   ]
  },
  {
   "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": {
    "execution": {
     "iopub.execute_input": "2023-08-18T20:08:07.017264Z",
     "iopub.status.busy": "2023-08-18T20:08:07.017127Z",
     "iopub.status.idle": "2023-08-18T20:08:07.036737Z",
     "shell.execute_reply": "2023-08-18T20:08:07.036137Z"
    }
   },
   "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": {
    "execution": {
     "iopub.execute_input": "2023-08-18T20:08:07.039151Z",
     "iopub.status.busy": "2023-08-18T20:08:07.038905Z",
     "iopub.status.idle": "2023-08-18T20:08:07.075962Z",
     "shell.execute_reply": "2023-08-18T20:08:07.075384Z"
    }
   },
   "outputs": [],
   "source": [
    "# reference (constant polarization) wave propagation\n",
    "Ex_ref = (\n",
    "    data_unperturbed[\"freq_mnt_xz\"]\n",
    "    .field_components[\"Ex\"]\n",
    "    .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": {
    "execution": {
     "iopub.execute_input": "2023-08-18T20:08:07.078298Z",
     "iopub.status.busy": "2023-08-18T20:08:07.077960Z",
     "iopub.status.idle": "2023-08-18T20:08:07.107132Z",
     "shell.execute_reply": "2023-08-18T20:08:07.106540Z"
    }
   },
   "outputs": [],
   "source": [
    "Ex_num = (\n",
    "    data_gyrotropic[\"freq_mnt_xz\"]\n",
    "    .field_components[\"Ex\"]\n",
    "    .isel({\"f\": freq_ind, \"x\": 0, \"y\": 0})\n",
    ")\n",
    "\n",
    "Ey_num = (\n",
    "    data_gyrotropic[\"freq_mnt_xz\"]\n",
    "    .field_components[\"Ey\"]\n",
    "    .isel({\"f\": freq_ind, \"x\": 0, \"y\": 0})\n",
    ")"
   ]
  },
  {
   "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": {
    "execution": {
     "iopub.execute_input": "2023-08-18T20:08:07.109163Z",
     "iopub.status.busy": "2023-08-18T20:08:07.108981Z",
     "iopub.status.idle": "2023-08-18T20:08:07.406810Z",
     "shell.execute_reply": "2023-08-18T20:08:07.406263Z"
    }
   },
   "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": {
    "execution": {
     "iopub.execute_input": "2023-08-18T20:08:07.409154Z",
     "iopub.status.busy": "2023-08-18T20:08:07.408976Z",
     "iopub.status.idle": "2023-08-18T20:08:07.715289Z",
     "shell.execute_reply": "2023-08-18T20:08:07.714897Z"
    }
   },
   "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\"]\n",
    "    .field_components[\"Ex\"]\n",
    "    .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 = (\n",
    "    data_gyrotropic[\"freq_mnt_xz\"]\n",
    "    .field_components[\"Ex\"]\n",
    "    .isel({\"f\": freq_ind, \"x\": 0, \"y\": 0})\n",
    ")\n",
    "\n",
    "Ey_num = (\n",
    "    data_gyrotropic[\"freq_mnt_xz\"]\n",
    "    .field_components[\"Ey\"]\n",
    "    .isel({\"f\": freq_ind, \"x\": 0, \"y\": 0})\n",
    ")\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": "3.9.16"
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