{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "6b6287fd-21a5-4276-a199-b040bb171541",
   "metadata": {},
   "source": [
    "# Advanced Gaussian sources\n",
    "\n",
    "It can often be tedious to create easily usable customized simulation objects from scratch, as there are various details to consider. For instance, if one wants to create an easily-usable beam source from scratch, one must create functionality to automatically interpret the source plane into field coordinates, handle conversion for polar and azimuthal angles, handle different direction specifications, etc. This all becomes much more complicated to build than Tidy3D's natively supported Gaussian beam.\n",
    "<br><br>\n",
    "Fortunately, we can take advantage of the fact that Tidy3D is open source to create complex Gaussian sources without needing to consider any of these extraneous functionalities. Namely, we use the Tidy3D [BeamProfile](https://github.com/flexcompute/tidy3d/blob/develop/tidy3d/components/beam.py) class to handle all extra usability considerations, so we only need to define the scalar field profile for z being the propagation direction. The BeamProfile object will automatically rotate the field amplitudes according to the geometry of the source plane and specified angles.\n",
    "<br><br>\n",
    "This is just one way in which we can take advantage of the open source nature of Tidy3D, and these principles can be applied to any base object class that Tidy3D provides."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "0e1ed43f-e352-4b82-a2e8-c1d3fe23e7de",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Standard python imports\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "# Tidy3D import\n",
    "import tidy3d as td\n",
    "from tidy3d import web\n",
    "\n",
    "# Import base object\n",
    "from tidy3d.components.beam import BeamProfile"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a84b4ea9-9cb6-46ec-b594-2d18b72daa38",
   "metadata": {},
   "source": [
    "## Quasi Gaussian source\n",
    "\n",
    "Here we show how to create a Quasi-Gaussian mode in Tidy3D using our [CustomFieldSource](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.CustomFieldSource.html) object, based on [J. Tuovinen, 1992](https://ieeexplore.ieee.org/document/138840). When a small beam waist (on the order of a wavelength or smaller) is required, this source is a better solution to the full-wave equation as opposed to the paraxial wave equation:\n",
    "\n",
    "<center>$E(r,z) = \\frac{w_0}{w(z)}\\frac{1}{{F^{\\prime\\prime}}^2}\\exp{\\Bigl(-\\frac{(r/F^{\\prime\\prime})^2}{w(z)^2} - jkz - jkR(z)(F^{\\prime\\prime} - 1) + j\\phi_0}\\Bigr)$</center>\n",
    "\n",
    "where:\n",
    "<li>$\\omega_0$ is the beam waist</li>\n",
    "<li>$z_R=\\frac{\\pi n_\\epsilon\\omega_0^2}{\\lambda}$ is the Rayleigh length</li>\n",
    "<li>$\\omega(z)=\\omega_0\\sqrt{1+\\frac{z^2}{z_R^2}}$ is the beam radius</li>\n",
    "<li>$R(z)=z(1+\\frac{z_R^2}{z^2})$ is the wavefront curvature</li>\n",
    "<li>$k=\\frac{2\\pi n}{\\lambda}$ is the wavenumber</li>\n",
    "<li>$F^{\\prime\\prime}=[1 + (r/R(z))^2]^{0.5}$</li>\n",
    "<li>$\\phi_0(z)=\\arctan{\\left(\\frac{z}{z_R}\\right)}$ is the phase shift</li>\n",
    "\n",
    "<br>\n",
    "We then validate the field profile along the propagation direction."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "95dbc338-8699-4c8b-b5d5-bfd9db06fafc",
   "metadata": {},
   "outputs": [],
   "source": [
    "def QuasiGaussian(\n",
    "    size,\n",
    "    source_time,\n",
    "    center=(0, 0, 0),\n",
    "    direction=\"+\",\n",
    "    pol_angle=0,\n",
    "    angle_phi=0,\n",
    "    angle_theta=0,\n",
    "    w0=1,\n",
    "    waist_distance=0,\n",
    "):\n",
    "    freqs = [source_time.freq0]\n",
    "\n",
    "    class QuasiGaussian_obj(BeamProfile):\n",
    "        \"\"\"Component for constructing OAM beam data. The normal direction is implicitly\n",
    "        defined by the ``size`` parameter.\n",
    "        \"\"\"\n",
    "\n",
    "        def scalar_field(self, points, background_n):\n",
    "            \"\"\"Scalar field for OAM beam.\n",
    "            Scalar field corresponding to the analytic beam in coordinate system such that the\n",
    "            propagation direction is z and the ``E``-field is entirely ``x``-polarized. The field is\n",
    "            computed on an unstructured array ``points`` of shape ``(3, ...)``.\n",
    "            \"\"\"\n",
    "            x, y, z = points\n",
    "            z -= waist_distance\n",
    "            r = np.sqrt(x**2 + y**2)\n",
    "\n",
    "            k = 2 * np.pi * np.array(freqs) / td.C_0 * background_n\n",
    "            zR = np.real(w0**2 * k / 2)\n",
    "            wz = w0 * np.sqrt(1 + z**2 / zR**2)\n",
    "            inv_Rz = z / (z**2 + zR**2)\n",
    "            Fpp = np.sqrt(1 + r**2 * inv_Rz**2)\n",
    "            phi0 = np.arctan2(z, zR)\n",
    "\n",
    "            phase = -((r / Fpp) ** 2) / wz**2 - 1j * k * z + 1j * phi0\n",
    "            if np.all(inv_Rz) != 0:\n",
    "                phase -= 1j * k * (Fpp - 1) / inv_Rz\n",
    "\n",
    "            E = w0 / wz * 1 / Fpp**2 * np.exp(phase)\n",
    "\n",
    "            return E\n",
    "\n",
    "    QuasiGaussian_obj = QuasiGaussian_obj(\n",
    "        center=center,\n",
    "        size=size,\n",
    "        freqs=freqs,\n",
    "        angle_theta=angle_theta,\n",
    "        angle_phi=angle_phi,\n",
    "        pol_angle=pol_angle,\n",
    "        direction=direction,\n",
    "    )\n",
    "    field_data = QuasiGaussian_obj.field_data\n",
    "    field_dataset = td.FieldDataset(\n",
    "        Ex=field_data.Ex,\n",
    "        Ey=field_data.Ey,\n",
    "        Ez=field_data.Ez,\n",
    "        Hx=field_data.Hx,\n",
    "        Hy=field_data.Hy,\n",
    "        Hz=field_data.Hz,\n",
    "    )\n",
    "    QuasiGaussian_source = td.CustomFieldSource(\n",
    "        center=center, size=size, source_time=source_time, field_dataset=field_dataset\n",
    "    )\n",
    "    return QuasiGaussian_source"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "fec9dacf-3340-464d-a15e-8d9131e9368f",
   "metadata": {},
   "outputs": [],
   "source": [
    "freq0 = td.C_0 / 0.5\n",
    "\n",
    "QG_center = (0, 0, -5)\n",
    "QG_size = (5, 5, 0)\n",
    "QG_source_time = td.GaussianPulse(freq0=freq0, fwidth=freq0 / 10)\n",
    "QG_w0 = td.C_0 / freq0 / 5\n",
    "QG_waist_distance = -5\n",
    "\n",
    "QG_source = QuasiGaussian(\n",
    "    center=QG_center,\n",
    "    size=QG_size,\n",
    "    source_time=QG_source_time,\n",
    "    w0=QG_w0,\n",
    "    waist_distance=QG_waist_distance,\n",
    ")\n",
    "\n",
    "G_source = td.GaussianBeam(\n",
    "    center=QG_center,\n",
    "    size=QG_size,\n",
    "    source_time=QG_source_time,\n",
    "    direction=\"+\",\n",
    "    waist_radius=QG_w0,\n",
    "    waist_distance=QG_waist_distance,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "16b89bab-0628-48ee-b390-8f10cbbbb57e",
   "metadata": {},
   "outputs": [],
   "source": [
    "field = td.FieldMonitor(\n",
    "    size=(td.inf, 0, td.inf), name=\"field\", freqs=[freq0 * 0.9, freq0, freq0 * 1.1]\n",
    ")\n",
    "\n",
    "QG_sim = td.Simulation(\n",
    "    size=(5, 5, 15), sources=[QG_source], structures=[], monitors=[field], run_time=50 / freq0\n",
    ")\n",
    "\n",
    "G_sim = QG_sim.updated_copy(sources=[G_source])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ced24473-ba26-49b0-bdab-23127a4f7b55",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">10:11:53 EDT </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'gaussian beam profile test'</span> with task_id             \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-dae0a7c2-2ca3-47b5-9530-d2b10e10e60e'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:11:53 EDT\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'gaussian beam profile test'\u001b[0m with task_id             \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-dae0a7c2-2ca3-47b5-9530-d2b10e10e60e'\u001b[0m and task_type \u001b[32m'FDTD'\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>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-dae0a7c2-2ca3-47b5-9530-d2b10e10e60e\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-dae0a7c2-2ca</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-dae0a7c2-2ca3-47b5-9530-d2b10e10e60e\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">3-47b5-9530-d2b10e10e60e'</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=283805;https://tidy3d.simulation.cloud/workbench?taskId=fdve-dae0a7c2-2ca3-47b5-9530-d2b10e10e60e\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=56092;https://tidy3d.simulation.cloud/workbench?taskId=fdve-dae0a7c2-2ca3-47b5-9530-d2b10e10e60e\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=283805;https://tidy3d.simulation.cloud/workbench?taskId=fdve-dae0a7c2-2ca3-47b5-9530-d2b10e10e60e\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=938113;https://tidy3d.simulation.cloud/workbench?taskId=fdve-dae0a7c2-2ca3-47b5-9530-d2b10e10e60e\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=283805;https://tidy3d.simulation.cloud/workbench?taskId=fdve-dae0a7c2-2ca3-47b5-9530-d2b10e10e60e\u001b\\\u001b[32m-dae0a7c2-2ca\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=283805;https://tidy3d.simulation.cloud/workbench?taskId=fdve-dae0a7c2-2ca3-47b5-9530-d2b10e10e60e\u001b\\\u001b[32m3-47b5-9530-d2b10e10e60e'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/ee7143f0-3861-47de-ae8f-8f55df7232f1\" 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=459335;https://tidy3d.simulation.cloud/folders/ee7143f0-3861-47de-ae8f-8f55df7232f1\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
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       "model_id": "189380d4d4ec4bd5912bde4b9a345875",
       "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\">10:11:56 EDT </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;36m10:11:56 EDT\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\">             </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"
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      "text/plain": [
       "Output()"
      ]
     },
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     "output_type": "display_data"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></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\">10:11:58 EDT </span>loading simulation from simulation_data.hdf5                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:11:58 EDT\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'gaussian beam profile test'</span> with task_id             \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-f63904a9-d6a1-464c-a209-bb091fc16af2'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'gaussian beam profile test'\u001b[0m with task_id             \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-f63904a9-d6a1-464c-a209-bb091fc16af2'\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-f63904a9-d6a1-464c-a209-bb091fc16af2\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-f63904a9-d6a</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-f63904a9-d6a1-464c-a209-bb091fc16af2\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">1-464c-a209-bb091fc16af2'</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=612631;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f63904a9-d6a1-464c-a209-bb091fc16af2\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=244017;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f63904a9-d6a1-464c-a209-bb091fc16af2\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=612631;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f63904a9-d6a1-464c-a209-bb091fc16af2\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=684904;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f63904a9-d6a1-464c-a209-bb091fc16af2\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=612631;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f63904a9-d6a1-464c-a209-bb091fc16af2\u001b\\\u001b[32m-f63904a9-d6a\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=612631;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f63904a9-d6a1-464c-a209-bb091fc16af2\u001b\\\u001b[32m1-464c-a209-bb091fc16af2'\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/ee7143f0-3861-47de-ae8f-8f55df7232f1\" 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=509761;https://tidy3d.simulation.cloud/folders/ee7143f0-3861-47de-ae8f-8f55df7232f1\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "00f88387aa364f6ea786583849a802d1",
       "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\">10:12:00 EDT </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;36m10:12:00 EDT\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\">             </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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8906c43c3b2240c2a14dc9f23ecf18b2",
       "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\">10:12:02 EDT </span>loading simulation from simulation_data.hdf5                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:12:02 EDT\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "QG_sim_data = web.run(simulation=QG_sim, task_name=\"gaussian beam profile test\")\n",
    "G_sim_data = web.run(simulation=G_sim, task_name=\"gaussian beam profile test\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "77767112-f4fd-4470-8a77-ae28aae2b68c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 2)\n",
    "\n",
    "QG_sim_data.plot_field(field_monitor_name=\"field\", field_name=\"Ex\", f=freq0, ax=ax[0])\n",
    "G_sim_data.plot_field(field_monitor_name=\"field\", field_name=\"Ex\", f=freq0, ax=ax[1])\n",
    "ax[0].set_title(\"Quasi-Gaussian\")\n",
    "ax[1].set_title(\"Gaussian\")\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c1e27425-c9f0-47f5-84e1-77003ed6eb19",
   "metadata": {},
   "source": [
    "## Hermite-Gaussian source\n",
    "\n",
    "Here we show how to create a Hermite-Gaussian mode in Tidy3D using our [CustomFieldSource](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.CustomFieldSource.html) object. We then validate the phase change along the propagation direction.<br><br>\n",
    "In cartesian coordinates, where $x$ is the propagation direction, the OAM has field profile\n",
    "\n",
    "<center>$E_{l,m}(x,y,z)=E_0\\frac{\\omega_0}{\\omega(z)}H_l\\Bigl(\\frac{\\sqrt{2}x}{\\omega(z)}\\Bigr) H_m\\Bigl(\\frac{\\sqrt{2}y}{\\omega(z)}\\Bigr)\\exp\\Bigl(-\\frac{x^2+y^2}{\\omega^2(z)}\\Bigr)\\exp\\Bigl(-i\\frac{k(x^2+y^2)}{2R(z)}\\Bigr)\\exp\\Bigl( i\\psi(z)\\Bigr)\\exp( -ikz)$</center>\n",
    "\n",
    "where:\n",
    "<li>$\\omega_0$ is the beam waist</li>\n",
    "<li>$z_R=\\frac{\\pi n_\\epsilon\\omega_0^2}{\\lambda}$ is the Rayleigh length</li>\n",
    "<li>$\\omega(z)=\\omega_0\\sqrt{1+\\frac{z^2}{z_R^2}}$ is the beam radius</li>\n",
    "<li>$k=\\frac{2\\pi n}{\\lambda}$ is the wavenumber</li>\n",
    "<li>$R(z)=z(1+\\frac{z_R^2}{z^2})$ is the wavefront curvature</li>\n",
    "<li>$H_l,H_m$ are Hermite polynomials of orders $l$ and $m$</li>\n",
    "<li>$\\psi(z)=(l+m+1)\\arctan\\Bigl(\\frac{z}{z_R}\\Bigr)$ is the phase function</li>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "04a1703d-b15d-4894-8906-1ae849048656",
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy.special import hermite\n",
    "\n",
    "\n",
    "def HGM(\n",
    "    size,\n",
    "    m,\n",
    "    l,\n",
    "    source_time,\n",
    "    center=(0, 0, 0),\n",
    "    direction=\"+\",\n",
    "    pol_angle=0,\n",
    "    angle_phi=0,\n",
    "    angle_theta=0,\n",
    "    w0=1,\n",
    "    waist_distance=0,\n",
    "):\n",
    "    freqs = [source_time.freq0]\n",
    "\n",
    "    class HGM_obj(BeamProfile):\n",
    "        \"\"\"Component for constructing HGM beam data. The normal direction is implicitly\n",
    "        defined by the ``size`` parameter.\n",
    "        \"\"\"\n",
    "\n",
    "        def scalar_field(self, points, background_n):\n",
    "            \"\"\"Scalar field for HGM beam.\n",
    "            Scalar field corresponding to the analytic beam in coordinate system such that the\n",
    "            propagation direction is z and the ``E``-field is entirely ``x``-polarized. The field is\n",
    "            computed on an unstructured array ``points`` of shape ``(3, ...)``.\n",
    "            \"\"\"\n",
    "            x, y, z = points\n",
    "            z += waist_distance\n",
    "\n",
    "            zR = np.pi * background_n * w0**2 / (td.C_0 / np.array(self.freqs))\n",
    "            wz = w0 * np.sqrt(1 + z**2 / zR**2)\n",
    "            Rz = td.inf if np.any(z == 0) else z * (1 + zR**2 / z**2)\n",
    "            k = 2 * np.pi * np.array(self.freqs) / td.C_0 * background_n\n",
    "            psi_z = (l + m + 1) * np.arctan2(z, np.real(zR))\n",
    "\n",
    "            E = source_time.amplitude * w0 / wz\n",
    "            E *= hermite(l)(np.real(np.sqrt(2) * x / wz)) * hermite(m)(np.real(np.sqrt(2) * y / wz))\n",
    "            E *= np.exp(-(x**2 + y**2) / wz**2) * np.exp(-1j * k * (x**2 + y**2) / (2 * Rz))\n",
    "            E *= np.exp(1j * psi_z) * np.exp(-1j * k * z)\n",
    "\n",
    "            return E\n",
    "\n",
    "    HGM_obj = HGM_obj(\n",
    "        center=center,\n",
    "        size=size,\n",
    "        freqs=freqs,\n",
    "        angle_theta=angle_theta,\n",
    "        angle_phi=angle_phi,\n",
    "        pol_angle=pol_angle,\n",
    "        direction=direction,\n",
    "    )\n",
    "    field_data = HGM_obj.field_data\n",
    "    field_dataset = td.FieldDataset(\n",
    "        Ex=field_data.Ex,\n",
    "        Ey=field_data.Ey,\n",
    "        Ez=field_data.Ez,\n",
    "        Hx=field_data.Hx,\n",
    "        Hy=field_data.Hy,\n",
    "        Hz=field_data.Hz,\n",
    "    )\n",
    "    HGM_source = td.CustomFieldSource(\n",
    "        center=center, size=size, source_time=source_time, field_dataset=field_dataset\n",
    "    )\n",
    "    return HGM_source"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cef6fc6c-0be7-463a-956e-cec83322296f",
   "metadata": {},
   "source": [
    "Create and run example Hermite-Gaussian beam:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7d5d3f36-fb9e-489b-9d9a-e715d7ad131f",
   "metadata": {},
   "outputs": [],
   "source": [
    "freq0 = td.C_0 / 1.55\n",
    "hgm = HGM(size=(0, 4, 4), m=2, l=1, source_time=td.GaussianPulse(freq0=freq0, fwidth=freq0 / 10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "47a6a1cd-10c3-4abd-8ca6-fb63a62f1197",
   "metadata": {},
   "outputs": [],
   "source": [
    "sim_size = (5.1, 5, 5)\n",
    "sim_center = (sim_size[0] / 2 - 0.05, 0, 0)\n",
    "\n",
    "num_field_monitors = 61\n",
    "field_monitor_xs = np.linspace(\n",
    "    sim_center[0] - sim_size[0] / 2 + 0.1, sim_size[0] - 0.1, num_field_monitors\n",
    ")\n",
    "field_monitors = []\n",
    "for x in field_monitor_xs:\n",
    "    field_monitor = td.FieldMonitor(\n",
    "        center=(x, 0, 0), size=(0, sim_size[1], sim_size[2]), name=str(x), freqs=[freq0]\n",
    "    )\n",
    "    field_monitors.append(field_monitor)\n",
    "\n",
    "HGM_test_sim = td.Simulation(\n",
    "    center=sim_center,\n",
    "    size=sim_size,\n",
    "    structures=[],\n",
    "    sources=[hgm],\n",
    "    monitors=field_monitors,\n",
    "    run_time=1e-13,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "8e8b8e23-55a4-4ac8-9520-9f4baa0209e1",
   "metadata": {
    "scrolled": true
   },
   "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\">10:12:03 EDT </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'HGM test'</span> with task_id                               \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-b6465c5c-20b7-429e-aba4-29a00b8b28bf'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:12:03 EDT\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'HGM test'\u001b[0m with task_id                               \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-b6465c5c-20b7-429e-aba4-29a00b8b28bf'\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-b6465c5c-20b7-429e-aba4-29a00b8b28bf\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-b6465c5c-20b</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-b6465c5c-20b7-429e-aba4-29a00b8b28bf\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">7-429e-aba4-29a00b8b28bf'</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=176645;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b6465c5c-20b7-429e-aba4-29a00b8b28bf\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=488155;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b6465c5c-20b7-429e-aba4-29a00b8b28bf\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=176645;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b6465c5c-20b7-429e-aba4-29a00b8b28bf\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=588073;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b6465c5c-20b7-429e-aba4-29a00b8b28bf\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=176645;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b6465c5c-20b7-429e-aba4-29a00b8b28bf\u001b\\\u001b[32m-b6465c5c-20b\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=176645;https://tidy3d.simulation.cloud/workbench?taskId=fdve-b6465c5c-20b7-429e-aba4-29a00b8b28bf\u001b\\\u001b[32m7-429e-aba4-29a00b8b28bf'\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/ee7143f0-3861-47de-ae8f-8f55df7232f1\" 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=689407;https://tidy3d.simulation.cloud/folders/ee7143f0-3861-47de-ae8f-8f55df7232f1\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "85648f94b350489b88062b00f05730c6",
       "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\">10:12:05 EDT </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;36m10:12:05 EDT\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\">10:12:06 EDT </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:12:06 EDT\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3c5f4d2de0954d709ef6838e4d7093a8",
       "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\">10:12:08 EDT </span>loading simulation from simulation_data.hdf5                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:12:08 EDT\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hgm_sim_data = web.run(simulation=HGM_test_sim, task_name=\"HGM test\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "59c40487-22f8-4938-82a4-376d04046881",
   "metadata": {},
   "source": [
    "Display field in propagation direction:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "ad06569a-10d8-4a3f-9c27-5564bb3ff6ce",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hgm_sim_data.plot_field(str(field_monitor_xs[0]), \"Ey\", f=freq0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d694173-4c04-439b-bc0b-d59b99494322",
   "metadata": {},
   "source": [
    "To see how the field evolves, run the following code to visualize along the propagation direction."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "58e9385b-a077-4044-9cec-763236d28a51",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "cd05e529c4934baaae4d9b4f9d9043aa",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(FloatSlider(value=0.05000000000000018, description='Ey', max=5.0, min=0.0500000000000001…"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import ipywidgets as widgets\n",
    "\n",
    "component = \"Ey\"\n",
    "\n",
    "field_slider = widgets.FloatSlider(\n",
    "    value=0,\n",
    "    min=field_monitor_xs[0],\n",
    "    max=field_monitor_xs[-1],\n",
    "    step=None,\n",
    "    description=component,\n",
    "    disabled=False,\n",
    "    continuous_update=True,\n",
    "    orientation=\"horizontal\",\n",
    "    readout=True,\n",
    "    readout_format=\".3f\",\n",
    ")\n",
    "\n",
    "\n",
    "def update_plot(x):\n",
    "    if x not in field_monitor_xs:\n",
    "        x = min(field_monitor_xs, key=lambda ll: abs(ll - x))\n",
    "    hgm_sim_data.plot_field(str(x), component, f=freq0)\n",
    "    plt.show()\n",
    "\n",
    "\n",
    "widgets.interactive(update_plot, x=field_slider)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7211088d-c600-47aa-9ee3-67abb636a2b0",
   "metadata": {},
   "source": [
    "## Laguerre-Gaussian source\n",
    "\n",
    "Here we show how to create an Orbital Angular Momentum (OAM) beam in Tidy3D using our [CustomFieldSource](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.CustomFieldSource.html) object. We then validate the phase change along the propagation direction.<br><br>\n",
    "In cylindrical coordinates, where $z$ is the propagation direction, the OAM has field profile\n",
    "\n",
    "<center>$E_{l,p}(r,\\phi,z)=E_0\\sqrt{\\frac{2p!}{\\pi(p+|l|)!}} \\frac{1}{\\omega(z)} \\Bigl(\\frac{r\\sqrt{2}}{\\omega(z)}\\Bigr)^{|l|} \\exp\\Bigl(-\\frac{r^2}{\\omega^2(z)}\\Bigr) L_p^{|l|}\\Bigl(\\frac{2r^2}{\\omega^2(z)}\\Bigr) \\exp\\Bigl(-ik\\frac{r^2}{2R(z)}\\Bigr) \\exp(-il\\phi) \\exp\\Bigl( i\\psi(z)\\Bigr)$</center>\n",
    "\n",
    "where:\n",
    "<li>$\\omega_0$ is the beam waist</li>\n",
    "<li>$z_R=\\frac{\\pi n_\\epsilon\\omega_0^2}{\\lambda}$ is the Rayleigh length</li>\n",
    "<li>$\\omega(z)=\\omega_0\\sqrt{1+\\frac{z^2}{z_R^2}}$ is the beam radius</li>\n",
    "<li>$R(z)=z(1+\\frac{z_R^2}{z^2})$ is the wavefront curvature</li>\n",
    "<li>$k=\\frac{2\\pi n}{\\lambda}$ is the wavenumber</li>\n",
    "<li>$L_p^{|l|}$ is the generalized Laguerre polynomial</li>\n",
    "<li>$\\psi(z)=(|l| + 2p + 1)\\arctan\\Bigl(\\frac{z}{z_R}\\Bigr)$ is the phase function</li>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "ec84e602-efee-43d1-a39c-d58d12f5fa59",
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy.special import factorial, genlaguerre\n",
    "\n",
    "\n",
    "def OAM(\n",
    "    size,\n",
    "    p,\n",
    "    l,\n",
    "    source_time,\n",
    "    center=(0, 0, 0),\n",
    "    direction=\"+\",\n",
    "    pol_angle=0,\n",
    "    angle_phi=0,\n",
    "    angle_theta=0,\n",
    "    w0=1,\n",
    "    waist_distance=0,\n",
    "):\n",
    "    freqs = [source_time.freq0]\n",
    "\n",
    "    class OAM_obj(BeamProfile):\n",
    "        \"\"\"Component for constructing OAM beam data. The normal direction is implicitly\n",
    "        defined by the ``size`` parameter.\n",
    "        \"\"\"\n",
    "\n",
    "        def scalar_field(self, points, background_n):\n",
    "            \"\"\"Scalar field for OAM beam.\n",
    "            Scalar field corresponding to the analytic beam in coordinate system such that the\n",
    "            propagation direction is z and the ``E``-field is entirely ``x``-polarized. The field is\n",
    "            computed on an unstructured array ``points`` of shape ``(3, ...)``.\n",
    "            \"\"\"\n",
    "            x, y, z = points\n",
    "            z += waist_distance\n",
    "            r = np.sqrt(x**2 + y**2)\n",
    "            phi = np.arctan2(y, x)\n",
    "            absl = np.abs(l)\n",
    "\n",
    "            zR = np.pi * background_n * w0**2 / (td.C_0 / np.array(self.freqs))\n",
    "            wz = w0 * np.sqrt(1 + z**2 / zR**2)\n",
    "            Rz = td.inf if np.any(z == 0) else z * (1 + zR**2 / z**2)\n",
    "            k = 2 * np.pi * np.array(self.freqs) / td.C_0 * background_n\n",
    "            psi_z = (np.abs(l) + 2 * p + 1) * np.arctan2(z, np.real(zR))\n",
    "\n",
    "            E = genlaguerre(p, absl)(2 * r**2 / wz**2) if p != 0 else 1\n",
    "            E *= (\n",
    "                source_time.amplitude\n",
    "                * np.sqrt(2 * factorial(p) / (np.pi * factorial(p + absl)))\n",
    "                / wz\n",
    "            )\n",
    "            E *= (r * np.sqrt(2) / wz) ** absl * np.exp(-(r**2) / wz**2)\n",
    "            E *= np.exp(-1j * k * r**2 / (2 * Rz)) * np.exp(-1j * l * phi) * np.exp(1j * psi_z)\n",
    "\n",
    "            return E\n",
    "\n",
    "    OAM_obj = OAM_obj(\n",
    "        center=center,\n",
    "        size=size,\n",
    "        freqs=freqs,\n",
    "        angle_theta=angle_theta,\n",
    "        angle_phi=angle_phi,\n",
    "        pol_angle=pol_angle,\n",
    "        direction=direction,\n",
    "    )\n",
    "    field_data = OAM_obj.field_data\n",
    "    field_dataset = td.FieldDataset(\n",
    "        Ex=field_data.Ex,\n",
    "        Ey=field_data.Ey,\n",
    "        Ez=field_data.Ez,\n",
    "        Hx=field_data.Hx,\n",
    "        Hy=field_data.Hy,\n",
    "        Hz=field_data.Hz,\n",
    "    )\n",
    "    OAM_source = td.CustomFieldSource(\n",
    "        center=center, size=size, source_time=source_time, field_dataset=field_dataset\n",
    "    )\n",
    "    return OAM_source"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "21aaf9c2-bdc8-4fbc-a8fb-8f7150047470",
   "metadata": {},
   "source": [
    "We will demonstrate this functionality by defining an OAM source that propagates in the $x$ direction."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "2576fe20-464d-44b6-a5b6-e5c157ca090a",
   "metadata": {},
   "outputs": [],
   "source": [
    "freq0 = td.C_0 / 1.55\n",
    "oam = OAM(size=(0, 4, 4), p=0, l=1, source_time=td.GaussianPulse(freq0=freq0, fwidth=freq0 / 10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "13851ef1-bb22-4fa1-a2d3-ae8162549f62",
   "metadata": {},
   "outputs": [],
   "source": [
    "sim_size = (5.1, 5, 5)\n",
    "sim_center = (sim_size[0] / 2 - 0.05, 0, 0)\n",
    "\n",
    "num_field_monitors = 61\n",
    "field_monitor_xs = np.linspace(\n",
    "    sim_center[0] - sim_size[0] / 2 + 0.1, sim_size[0] - 0.1, num_field_monitors\n",
    ")\n",
    "field_monitors = []\n",
    "for x in field_monitor_xs:\n",
    "    field_monitor = td.FieldMonitor(\n",
    "        center=(x, 0, 0), size=(0, sim_size[1], sim_size[2]), name=str(x), freqs=[freq0]\n",
    "    )\n",
    "    field_monitors.append(field_monitor)\n",
    "\n",
    "OAM_test_sim = td.Simulation(\n",
    "    center=sim_center,\n",
    "    size=sim_size,\n",
    "    structures=[],\n",
    "    sources=[oam],\n",
    "    monitors=field_monitors,\n",
    "    run_time=1e-13,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "a3005466-e0e6-4cd2-9017-7ae39f509dd2",
   "metadata": {
    "scrolled": true
   },
   "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\">10:12:09 EDT </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'OAM test'</span> with task_id                               \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-a562c6dc-5923-4326-b7aa-28f4b4fa5313'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:12:09 EDT\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'OAM test'\u001b[0m with task_id                               \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-a562c6dc-5923-4326-b7aa-28f4b4fa5313'\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-a562c6dc-5923-4326-b7aa-28f4b4fa5313\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-a562c6dc-592</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-a562c6dc-5923-4326-b7aa-28f4b4fa5313\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">3-4326-b7aa-28f4b4fa5313'</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=460619;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a562c6dc-5923-4326-b7aa-28f4b4fa5313\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=599012;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a562c6dc-5923-4326-b7aa-28f4b4fa5313\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=460619;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a562c6dc-5923-4326-b7aa-28f4b4fa5313\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=813070;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a562c6dc-5923-4326-b7aa-28f4b4fa5313\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=460619;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a562c6dc-5923-4326-b7aa-28f4b4fa5313\u001b\\\u001b[32m-a562c6dc-592\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=460619;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a562c6dc-5923-4326-b7aa-28f4b4fa5313\u001b\\\u001b[32m3-4326-b7aa-28f4b4fa5313'\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/ee7143f0-3861-47de-ae8f-8f55df7232f1\" 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=42951;https://tidy3d.simulation.cloud/folders/ee7143f0-3861-47de-ae8f-8f55df7232f1\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "994c6afaa7b6409c85be2c4c5cc5e127",
       "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\">10:12:11 EDT </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;36m10:12:11 EDT\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\">10:12:12 EDT </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:12:12 EDT\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e313fec51c9d47218e01e3f762a637a8",
       "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\">10:12:14 EDT </span>loading simulation from simulation_data.hdf5                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:12:14 EDT\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "oam_sim_data = web.run(simulation=OAM_test_sim, task_name=\"OAM test\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4fafb2d1-4d6c-45d6-8da1-6e567bd67806",
   "metadata": {},
   "source": [
    "Display field in propagation direction:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "c6f3cec5-5da4-4b58-9a0f-d7050b58e12c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "oam_sim_data.plot_field(str(field_monitor_xs[30]), \"E\", f=freq0, val=\"abs^2\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "49a6ec62-0f62-4c9f-906c-db0ae888e446",
   "metadata": {},
   "source": [
    "To see how the field amplitude evolves, run the following code to visualize along the propagation direction."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "23c71226-2795-4e70-9555-7c240f51966b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ce5285116ab94c69a86f395b2573eafa",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(FloatSlider(value=0.05000000000000018, description='Ey', max=5.0, min=0.0500000000000001…"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import ipywidgets as widgets\n",
    "\n",
    "component = \"Ey\"\n",
    "\n",
    "field_slider = widgets.FloatSlider(\n",
    "    value=0,\n",
    "    min=field_monitor_xs[0],\n",
    "    max=field_monitor_xs[-1],\n",
    "    step=None,\n",
    "    description=component,\n",
    "    disabled=False,\n",
    "    continuous_update=True,\n",
    "    orientation=\"horizontal\",\n",
    "    readout=True,\n",
    "    readout_format=\".3f\",\n",
    ")\n",
    "\n",
    "\n",
    "def update_plot(x):\n",
    "    if x not in field_monitor_xs:\n",
    "        x = min(field_monitor_xs, key=lambda ll: abs(ll - x))\n",
    "    oam_sim_data.plot_field(str(x), component, f=freq0)\n",
    "    plt.show()\n",
    "\n",
    "\n",
    "widgets.interactive(update_plot, x=field_slider)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "96eb9edb-7266-466a-b858-ad24566ad4df",
   "metadata": {},
   "source": [
    "## Bessel Beam\n",
    "\n",
    "Here we show how to create an Bessel beam in Tidy3D using our [CustomFieldSource](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.CustomFieldSource.html) object. We then validate the phase change along the propagation direction.<br><br>\n",
    "In cylindrical coordinates $(\\rho, \\phi, z)$, where $z$ is the propagation direction, the Bessel beam has field profile\n",
    "\n",
    "<center>$U_\\beta(r)=J_m(k_T\\rho)e^{im\\phi}e^{-i\\beta z}$</center>\n",
    "\n",
    "where:\n",
    "<li>$k=\\frac{2\\pi n}{\\lambda}$ is the wavenumber</li>\n",
    "<li>$J_m$ is the Bessel function of the first kind and $m^{th}$ order</li>\n",
    "<li>$k_T=\\sqrt{k^2-\\beta^2}$</li>\n",
    "<br>\n",
    "Source: Saleh & Teich, <i>Fundamentals of Photonics</i>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "9793a27b-c702-412f-8afe-3015351acff3",
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy.special import jv\n",
    "\n",
    "\n",
    "def Bessel(\n",
    "    size,\n",
    "    m,\n",
    "    beta,\n",
    "    source_time,\n",
    "    center=(0, 0, 0),\n",
    "    direction=\"+\",\n",
    "    pol_angle=0,\n",
    "    angle_phi=0,\n",
    "    angle_theta=0,\n",
    "    w0=1,\n",
    "    waist_distance=0,\n",
    "):\n",
    "    if not isinstance(m, int):\n",
    "        raise Exception(\"Error: m must be an integer\")\n",
    "    freqs = [source_time.freq0]\n",
    "\n",
    "    class Bessel_obj(BeamProfile):\n",
    "        \"\"\"Component for constructing Bessel beam data. The normal direction is implicitly\n",
    "        defined by the ``size`` parameter.\n",
    "        \"\"\"\n",
    "\n",
    "        def scalar_field(self, points, background_n):\n",
    "            \"\"\"Scalar field for Bessel beam.\n",
    "            Scalar field corresponding to the analytic beam in coordinate system such that the\n",
    "            propagation direction is z and the ``E``-field is entirely ``x``-polarized. The field is\n",
    "            computed on an unstructured array ``points`` of shape ``(3, ...)``.\n",
    "            \"\"\"\n",
    "            x, y, z = points\n",
    "            z += waist_distance\n",
    "            rho = np.sqrt(x**2 + y**2)\n",
    "            phi = np.arctan2(y, x)\n",
    "            beta % (2 * np.pi)\n",
    "\n",
    "            k = 2 * np.pi * np.array(self.freqs) / td.C_0 * background_n\n",
    "            k_T = np.sqrt(k**2 - beta**2)\n",
    "\n",
    "            E = source_time.amplitude * jv(m, k_T * rho)\n",
    "            E *= np.exp(1j * m * phi) * np.exp(-1j * beta * z)\n",
    "\n",
    "            return E\n",
    "\n",
    "    Bessel_obj = Bessel_obj(\n",
    "        center=center,\n",
    "        size=size,\n",
    "        freqs=freqs,\n",
    "        angle_theta=angle_theta,\n",
    "        angle_phi=angle_phi,\n",
    "        pol_angle=pol_angle,\n",
    "        direction=direction,\n",
    "    )\n",
    "    field_data = Bessel_obj.field_data\n",
    "    field_dataset = td.FieldDataset(\n",
    "        Ex=field_data.Ex,\n",
    "        Ey=field_data.Ey,\n",
    "        Ez=field_data.Ez,\n",
    "        Hx=field_data.Hx,\n",
    "        Hy=field_data.Hy,\n",
    "        Hz=field_data.Hz,\n",
    "    )\n",
    "    Bessel_source = td.CustomFieldSource(\n",
    "        center=center, size=size, source_time=source_time, field_dataset=field_dataset\n",
    "    )\n",
    "    return Bessel_source"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "395121c5-498f-448c-9c18-a110a53275c6",
   "metadata": {},
   "source": [
    "Create and run example Bessel beam:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "bb4a5088-43e1-4612-b966-01bc25955104",
   "metadata": {},
   "outputs": [],
   "source": [
    "freq0 = td.C_0 / 1.55\n",
    "bessel = Bessel(\n",
    "    size=(0, 4, 4), m=0, beta=0, source_time=td.GaussianPulse(freq0=freq0, fwidth=freq0 / 10)\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "6983edb3-82b6-4c88-be92-8533c5c99714",
   "metadata": {},
   "outputs": [],
   "source": [
    "sim_size = (5.1, 5, 5)\n",
    "sim_center = (sim_size[0] / 2 - 0.05, 0, 0)\n",
    "\n",
    "num_field_monitors = 61\n",
    "field_monitor_xs = np.linspace(\n",
    "    sim_center[0] - sim_size[0] / 2 + 0.1, sim_size[0] - 0.1, num_field_monitors\n",
    ")\n",
    "field_monitors = []\n",
    "for x in field_monitor_xs:\n",
    "    field_monitor = td.FieldMonitor(\n",
    "        center=(x, 0, 0), size=(0, sim_size[1], sim_size[2]), name=str(x), freqs=[freq0]\n",
    "    )\n",
    "    field_monitors.append(field_monitor)\n",
    "\n",
    "Bessel_test_sim = td.Simulation(\n",
    "    center=sim_center,\n",
    "    size=sim_size,\n",
    "    structures=[],\n",
    "    sources=[bessel],\n",
    "    monitors=field_monitors,\n",
    "    run_time=1e-13,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "df5e6e57-a468-426a-91a8-af296ae98d02",
   "metadata": {
    "scrolled": true
   },
   "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\">10:12:15 EDT </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'Bessel test'</span> with task_id                            \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-d9e0774e-934a-4f85-8cf2-9a6f71dbc4ef'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:12:15 EDT\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'Bessel test'\u001b[0m with task_id                            \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-d9e0774e-934a-4f85-8cf2-9a6f71dbc4ef'\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-d9e0774e-934a-4f85-8cf2-9a6f71dbc4ef\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-d9e0774e-934</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-d9e0774e-934a-4f85-8cf2-9a6f71dbc4ef\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">a-4f85-8cf2-9a6f71dbc4ef'</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=527123;https://tidy3d.simulation.cloud/workbench?taskId=fdve-d9e0774e-934a-4f85-8cf2-9a6f71dbc4ef\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=762650;https://tidy3d.simulation.cloud/workbench?taskId=fdve-d9e0774e-934a-4f85-8cf2-9a6f71dbc4ef\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=527123;https://tidy3d.simulation.cloud/workbench?taskId=fdve-d9e0774e-934a-4f85-8cf2-9a6f71dbc4ef\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=492186;https://tidy3d.simulation.cloud/workbench?taskId=fdve-d9e0774e-934a-4f85-8cf2-9a6f71dbc4ef\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=527123;https://tidy3d.simulation.cloud/workbench?taskId=fdve-d9e0774e-934a-4f85-8cf2-9a6f71dbc4ef\u001b\\\u001b[32m-d9e0774e-934\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=527123;https://tidy3d.simulation.cloud/workbench?taskId=fdve-d9e0774e-934a-4f85-8cf2-9a6f71dbc4ef\u001b\\\u001b[32ma-4f85-8cf2-9a6f71dbc4ef'\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/ee7143f0-3861-47de-ae8f-8f55df7232f1\" 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=308275;https://tidy3d.simulation.cloud/folders/ee7143f0-3861-47de-ae8f-8f55df7232f1\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "bc1d6560727c4d89818cf93632ecf63b",
       "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\">10:12:17 EDT </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;36m10:12:17 EDT\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\">10:12:18 EDT </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:12:18 EDT\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f3bb7ee8dd744a98b95441a583298418",
       "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\">10:12:19 EDT </span>loading simulation from simulation_data.hdf5                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:12:19 EDT\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bessel_sim_data = web.run(simulation=Bessel_test_sim, task_name=\"Bessel test\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "40e2038f-df0e-4bd3-8865-19d6d9f94c21",
   "metadata": {},
   "source": [
    "Display field amplitude in propagation direction:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "16eeb733-54af-4893-9c3b-c2341b31e407",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bessel_sim_data.plot_field(str(field_monitor_xs[0]), \"E\", val=\"abs\", f=freq0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "90204a3a-d03c-49aa-8966-4cd8181b14cb",
   "metadata": {},
   "source": [
    "To see how the field amplitude evolves, run the following code to visualize along the propagation direction."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "8e2f90a0-cf5d-42c5-a053-4bfc08c6c3d5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "613498eb7330456abd12120234a0b67d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(FloatSlider(value=0.05000000000000018, description='E', max=5.0, min=0.05000000000000018…"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import ipywidgets as widgets\n",
    "\n",
    "component = \"E\"\n",
    "\n",
    "field_slider = widgets.FloatSlider(\n",
    "    value=0,\n",
    "    min=field_monitor_xs[0],\n",
    "    max=field_monitor_xs[-1],\n",
    "    step=None,\n",
    "    description=component,\n",
    "    disabled=False,\n",
    "    continuous_update=True,\n",
    "    orientation=\"horizontal\",\n",
    "    readout=True,\n",
    "    readout_format=\".3f\",\n",
    ")\n",
    "\n",
    "\n",
    "def update_plot(x):\n",
    "    if x not in field_monitor_xs:\n",
    "        x = min(field_monitor_xs, key=lambda ll: abs(ll - x))\n",
    "    bessel_sim_data.plot_field(str(x), component, val=\"abs\", f=freq0)\n",
    "    plt.show()\n",
    "\n",
    "\n",
    "widgets.interactive(update_plot, x=field_slider)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "129230c8-15ca-4b47-b6ac-4e1c15b09107",
   "metadata": {},
   "source": [
    "## Ince-Gaussian modes\n",
    "\n",
    "Here we show how to create Ince-Gaussian (IG) beams in Tidy3D using our [CustomFieldSource](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.CustomFieldSource.html) object. We then validate the phase change along the propagation direction.<br><br>\n",
    "In elliptic-cylindrical coordinates $(\\xi,\\eta)$, where\n",
    "<center>\n",
    "    $x=\\sqrt{\\varepsilon/2}\\omega(z)\\cosh\\xi\\cos\\eta$<br>\n",
    "    $y=\\sqrt{\\varepsilon/2}\\omega(z)\\sinh\\xi\\sin\\eta$,\n",
    "</center>\n",
    "the IGB has field profile\n",
    "\n",
    "<center>$u_\\varepsilon(\\xi,\\eta,z)=\\frac{\\omega_0}{\\omega(z)}C_p^m(i\\xi,\\varepsilon)C_p^m(\\eta,\\varepsilon)\\exp\\Bigr[-\\frac{r^2}{\\omega(z)^2} + ik\\frac{r^2}{2R(z)}\\Bigr]\\exp(ikz)\\exp\\Bigl(-i\\psi(z)\\Bigr)$</center>\n",
    "\n",
    "where:\n",
    "<li>$k=\\frac{2\\pi n}{\\lambda}$ is the wavenumber</li>\n",
    "<li>$\\omega_0$ is the beam waist</li>\n",
    "<li>$z_R=\\frac{\\pi n_\\epsilon\\omega_0^2}{\\lambda}$ is the Rayleigh length</li>\n",
    "<li>$\\omega(z)=\\omega_0\\sqrt{1+\\frac{z^2}{z_R^2}}$ is the beam radius</li>\n",
    "<li>$R(z)=z(1+\\frac{z_R^2}{z^2})$ is the wavefront curvature</li>\n",
    "<li>$z_R=\\frac{\\pi n_\\epsilon\\omega_0^2}{\\lambda}$ is the Rayleigh length</li>\n",
    "<li>$\\psi(z)=(p+1)\\arctan(\\frac{z}{z_R})$ is the phase function</li>\n",
    "<li>$C_p^m(\\cdot,\\varepsilon)$ is an Ince-Gaussian polynomial of order $p$ and degree $m$ with ellipticity $\\varepsilon$. Note that $m$ and $p$ must have the same parity with $m\\leq p$ and $\\varepsilon\\in(0,\\infty)$</li><br>\n",
    "We also add a visualization option for the beam to ensure that the correct Ince polynomial is solved for."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "039b582d-e94c-42bb-9024-02d28d3454f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy.interpolate import RectBivariateSpline\n",
    "from scipy.special import gamma\n",
    "\n",
    "\n",
    "def InceGaussian(\n",
    "    size,\n",
    "    m,\n",
    "    p,\n",
    "    e,\n",
    "    source_time,\n",
    "    center=(0, 0, 0),\n",
    "    direction=\"+\",\n",
    "    pol_angle=0,\n",
    "    angle_phi=0,\n",
    "    angle_theta=0,\n",
    "    w0=1,\n",
    "    waist_distance=0,\n",
    "    num_sampling_points=501,\n",
    "    normalize=True,\n",
    "    display_profile=False,\n",
    "):\n",
    "    if not isinstance(m, int):\n",
    "        raise TypeError(\"Degree m must be an integer.\")\n",
    "    if not isinstance(p, int):\n",
    "        raise TypeError(\"Order p must be an integer.\")\n",
    "    if m < 0 or p < 0:\n",
    "        raise ValueError(\"m and p must be nonnegative.\")\n",
    "    if (p - m) % 2 == 1:\n",
    "        raise ValueError(\"m and p must have the same parity.\")\n",
    "    if m > p:\n",
    "        raise ValueError(\"m must be less than or equal to p.\")\n",
    "    if e <= 0:\n",
    "        raise ValueError(\"Ellipticity must be greater than 0.\")\n",
    "\n",
    "    freqs = [source_time.freq0]\n",
    "    L = max(size) / 2\n",
    "    N = num_sampling_points if num_sampling_points % 2 == 1 else num_sampling_points + 1\n",
    "    x = np.linspace(-L, L, N)\n",
    "    y = np.linspace(-L, L, N)\n",
    "    X, Y = np.meshgrid(x, y)\n",
    "    R = np.sqrt(X**2 + Y**2)\n",
    "\n",
    "    class IG_obj(BeamProfile):\n",
    "        \"\"\"Component for constructing Ince-Gaussian beam data. The normal direction is implicitly\n",
    "        defined by the ``size`` parameter.\n",
    "\n",
    "        from https://www.mathworks.com/matlabcentral/fileexchange/46222-ince-gaussian-beam\n",
    "\n",
    "        Copyright (c) 2014, Miguel A. Bandres\n",
    "        All rights reserved.\n",
    "\n",
    "        Redistribution and use in source and binary forms, with or without\n",
    "        modification, are permitted provided that the following conditions are met:\n",
    "\n",
    "        * Redistributions of source code must retain the above copyright notice, this\n",
    "          list of conditions and the following disclaimer.\n",
    "\n",
    "        * Redistributions in binary form must reproduce the above copyright notice,\n",
    "          this list of conditions and the following disclaimer in the documentation\n",
    "          and/or other materials provided with the distribution\n",
    "        THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
    "        AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
    "        IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\n",
    "        DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE\n",
    "        FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL\n",
    "        DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR\n",
    "        SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER\n",
    "        CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,\n",
    "        OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE\n",
    "        OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n",
    "        \"\"\"\n",
    "\n",
    "        def scalar_field(self, points, background_n):\n",
    "            x_p, y_p, z = points\n",
    "            z += waist_distance\n",
    "\n",
    "            wvl0 = td.C_0 / source_time.freq0\n",
    "            k = 2 * np.pi * background_n / wvl0\n",
    "            zR = np.real(np.pi * background_n * w0**2 / wvl0)\n",
    "            wz = w0 * np.sqrt(1 + z[0] ** 2 / zR**2)\n",
    "\n",
    "            def mesh_elliptic(f_m):\n",
    "                xi_m, eta_m = np.zeros((N, N)), np.zeros((N, N))\n",
    "\n",
    "                elliptic_complex = np.arccosh(\n",
    "                    (\n",
    "                        X[0 : (N + 1) // 2, (N - 1) // 2 : N]\n",
    "                        + 1j * Y[0 : (N + 1) // 2, (N - 1) // 2 : N]\n",
    "                    )\n",
    "                    / f_m\n",
    "                )\n",
    "                xi0 = np.real(elliptic_complex)\n",
    "                eta0 = np.imag(elliptic_complex)\n",
    "                eta0 = np.where(eta0 < 0, eta0 + 2 * np.pi, eta0)\n",
    "\n",
    "                xi_m[: (N + 1) // 2, (N - 1) // 2 :] = xi0\n",
    "                xi_m[: (N + 1) // 2, : (N - 1) // 2] = xi_m[: (N + 1) // 2, (N + 3) // 2 - 1 :][\n",
    "                    :, ::-1\n",
    "                ]\n",
    "                xi_m[(N + 3) // 2 - 1 :, :] = xi_m[: (N - 1) // 2, :][::-1, :]\n",
    "\n",
    "                eta_m[: (N + 1) // 2, (N - 1) // 2 :] = eta0\n",
    "                eta_m[: (N + 1) // 2, : (N - 1) // 2] = (\n",
    "                    np.pi - eta_m[: (N + 1) // 2, (N + 3) // 2 - 1 :][:, ::-1]\n",
    "                )\n",
    "                eta_m[(N + 3) // 2 - 1 :, :] = np.pi + eta_m[: (N - 1) // 2, :][::-1, ::-1]\n",
    "\n",
    "                return xi_m, eta_m\n",
    "\n",
    "            def C(e_coord):  # Even Ince polynomials\n",
    "                if p == 0 and m == 0:\n",
    "                    return 1 + 0j, [1 + 0j], 0j\n",
    "                if np.isscalar(e_coord):\n",
    "                    e_coord = np.asarray(e_coord)\n",
    "                shape = e_coord.shape\n",
    "                if len(shape) == 1:\n",
    "                    largo, ancho = (shape[0], 1)\n",
    "                elif len(shape) >= 2:\n",
    "                    largo, ancho = (shape[0], shape[1])  # largo = rows, ancho = cols\n",
    "                else:  # scalar or empty\n",
    "                    largo, ancho = (1, 1)\n",
    "                e_coord = e_coord.flatten(order=\"F\")  # MATLAB uses column-major order\n",
    "                e_coord = e_coord.reshape(1, -1)\n",
    "\n",
    "                if p % 2 == 0:\n",
    "                    j, N_c, n = p / 2, p / 2 + 1, int(m / 2 + 1)\n",
    "                    M = np.diag(e * (j + np.arange(1, N_c)), k=1)\n",
    "                    M += np.diag(\n",
    "                        np.concatenate(([2 * e * j], e * (j - np.arange(1, N_c - 1)))), k=-1\n",
    "                    )\n",
    "                    M += np.diag(np.concatenate(([0], 4 * ((np.arange(0, N_c - 1) + 1) ** 2))))\n",
    "\n",
    "                    ets, A = np.linalg.eig(M)  # ets = eigenvalues, A = eigenvectors\n",
    "                    index = np.argsort(ets)  # indices to sort eigenvalues\n",
    "                    ets = ets[index]  # sorted eigenvalues\n",
    "                    A = A[:, index]\n",
    "\n",
    "                    mv = np.arange(2, p, 2)\n",
    "                    N2 = np.sqrt(\n",
    "                        2 * A[0, n - 1] ** 2 * gamma(p / 2 + 1) ** 2\n",
    "                        + np.sum(\n",
    "                            (\n",
    "                                np.sqrt(gamma((p + mv) / 2 + 1) * gamma((p - mv) / 2 + 1))\n",
    "                                * A[2 : int(p / 2 + 2), n - 1]\n",
    "                            )\n",
    "                            ** 2\n",
    "                        )\n",
    "                    )\n",
    "                    NS = np.sign(np.sum(A[:, n - 1]))\n",
    "                    A = A / N2 * NS\n",
    "\n",
    "                    rr = np.arange(0, N_c)\n",
    "                    Rr, Xr = np.meshgrid(rr, e_coord)\n",
    "                    IP = np.cos(2 * Xr * Rr) @ A[:, n - 1]\n",
    "                    IP = np.reshape(IP, (largo, ancho), order=\"F\")\n",
    "\n",
    "                    dIP = -2 * Rr * np.sin(2 * Xr * Rr) @ A[:, n - 1]\n",
    "                    dIP = np.reshape(dIP, (largo, ancho), order=\"F\")\n",
    "\n",
    "                else:  # p is odd\n",
    "                    j, N_c, n = int((p - 1) / 2), (p - 1) / 2 + 1, int((m + 1) / 2)\n",
    "                    M = np.diag(e / 2 * (p + (2 * np.arange(0, N_c - 1) + 2)), k=1)\n",
    "                    M += np.diag(e / 2 * (p - (2 * np.arange(1, N_c) - 1)), k=-1)\n",
    "                    M += np.diag(\n",
    "                        np.concatenate(([e / 2 + p * e / 2 + 1], (2 * np.arange(1, N_c) + 1) ** 2))\n",
    "                    )\n",
    "\n",
    "                    ets, A = np.linalg.eig(M)  # ets = eigenvalues, A = eigenvectors\n",
    "                    index = np.argsort(ets)  # indices to sort eigenvalues\n",
    "                    ets = ets[index]  # sorted eigenvalues\n",
    "                    A = A[:, index]\n",
    "\n",
    "                    mv = np.arange(1, p + 1, 2)\n",
    "                    N2 = np.sqrt(\n",
    "                        np.sum(\n",
    "                            (\n",
    "                                np.sqrt(gamma((p + mv) / 2 + 1) * gamma((p - mv) / 2 + 1))\n",
    "                                * A[:, n - 1]\n",
    "                            )\n",
    "                            ** 2\n",
    "                        )\n",
    "                    )\n",
    "                    NS = np.sign(np.sum(A[:, n - 1]))\n",
    "                    A = A / N2 * NS\n",
    "\n",
    "                    rr = 2 * np.arange(0, N_c) + 1\n",
    "                    Rr, Xr = np.meshgrid(rr, e_coord)\n",
    "                    IP = np.cos(Xr * Rr) @ A[:, n - 1]\n",
    "                    IP = np.reshape(IP, (largo, ancho), order=\"F\")\n",
    "\n",
    "                    dIP = -Rr * np.sin(Xr * Rr) @ A[:, n - 1]\n",
    "                    dIP = np.reshape(dIP, (largo, ancho), order=\"F\")\n",
    "\n",
    "                return IP, A[:, n - 1], dIP\n",
    "\n",
    "            f0 = np.sqrt(e / 2) * w0\n",
    "\n",
    "            if z.any() == 0:\n",
    "                xi, eta = mesh_elliptic(f0)\n",
    "                Ince_eta, _, _ = C(eta)\n",
    "                Ince_ixi, _, _ = C(1j * xi)\n",
    "                IGB = Ince_eta * Ince_ixi * np.exp(-((R / w0) ** 2))\n",
    "            else:\n",
    "                Rz = z[0] * (1 + (zR / z[0]) ** 2)\n",
    "                f = f0 * wz / w0\n",
    "                xi, eta = mesh_elliptic(f)\n",
    "                Ince_eta, _, _ = C(eta)\n",
    "                Ince_ixi, _, _ = C(1j * xi)\n",
    "                IGB = (w0 / wz) * Ince_eta * Ince_ixi * np.exp(-((R / wz) ** 2))\n",
    "                IGB *= np.exp(\n",
    "                    1j * (k * z[0] + k * R**2 / (2 * Rz) - (p + 1) * np.arctan2(z[0], zR))\n",
    "                )\n",
    "\n",
    "            C0, coef, _ = C(0)\n",
    "            Cpi2, _, DCpi2 = C(np.pi / 2)\n",
    "\n",
    "            if normalize:\n",
    "                if p % 2 == 0:\n",
    "                    norm = (\n",
    "                        (-1) ** (m / 2)\n",
    "                        * np.sqrt(2)\n",
    "                        * gamma(p / 2 + 1)\n",
    "                        * coef[0]\n",
    "                        * np.sqrt(2 / np.pi)\n",
    "                        / w0\n",
    "                        / C0\n",
    "                        / Cpi2\n",
    "                    )\n",
    "                else:\n",
    "                    norm = (\n",
    "                        (-1) ** ((m + 1) / 2)\n",
    "                        * gamma((p + 1) / 2 + 1)\n",
    "                        * np.sqrt(4 * e / np.pi)\n",
    "                        * coef[0]\n",
    "                        / w0\n",
    "                        / C0\n",
    "                        / DCpi2\n",
    "                    )\n",
    "\n",
    "                IGB = IGB * norm\n",
    "\n",
    "            # interpolate 2D grid to points' coordinates\n",
    "            IGB = np.real(IGB)\n",
    "\n",
    "            shifted_points_x = x_p.reshape(-1) - np.min(np.abs(x_p))\n",
    "            shifted_points_y = y_p.reshape(-1) - np.min(np.abs(y_p))\n",
    "            shifted_points_X, shifted_points_Y = np.meshgrid(shifted_points_x, shifted_points_y)\n",
    "            IGB_interp = RectBivariateSpline(x, y, IGB)\n",
    "\n",
    "            sqrt = int(np.sqrt(len(x_p)))\n",
    "            square_x = shifted_points_x.reshape(sqrt, sqrt)\n",
    "            square_y = shifted_points_y.reshape(sqrt, sqrt)\n",
    "\n",
    "            IGB_recast = IGB_interp(square_x[:, 0], square_y[0, :]).T\n",
    "\n",
    "            # check profile\n",
    "            if display_profile:\n",
    "                plt.imshow(np.abs(IGB_recast).T, cmap=\"hot\")\n",
    "\n",
    "            return IGB_recast.ravel().reshape(-1, 1)\n",
    "\n",
    "        plt.show()\n",
    "\n",
    "    IG_obj = IG_obj(\n",
    "        center=center,\n",
    "        size=size,\n",
    "        freqs=freqs,\n",
    "        angle_theta=angle_theta,\n",
    "        angle_phi=angle_phi,\n",
    "        pol_angle=pol_angle,\n",
    "        direction=direction,\n",
    "    )\n",
    "    field_data = IG_obj.field_data\n",
    "    field_dataset = td.FieldDataset(\n",
    "        Ex=field_data.Ex,\n",
    "        Ey=field_data.Ey,\n",
    "        Ez=field_data.Ez,\n",
    "        Hx=field_data.Hx,\n",
    "        Hy=field_data.Hy,\n",
    "        Hz=field_data.Hz,\n",
    "    )\n",
    "    IG_source = td.CustomFieldSource(\n",
    "        center=center, size=size, source_time=source_time, field_dataset=field_dataset\n",
    "    )\n",
    "    return IG_source"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "eb510309-9647-4d8c-969e-fc97f3003a3e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "freq0 = td.C_0 / 0.532\n",
    "IGB_x = -1\n",
    "IGB_99 = InceGaussian(\n",
    "    center=(IGB_x, 0, 0),\n",
    "    size=(0, 6, 6),\n",
    "    m=9,\n",
    "    p=9,\n",
    "    e=2,\n",
    "    source_time=td.GaussianPulse(freq0=freq0, fwidth=freq0 / 10),\n",
    "    waist_distance=IGB_x,\n",
    "    display_profile=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "f6df094d-b0d8-4c70-997e-d34136777f4f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "IGB = InceGaussian(\n",
    "    center=(IGB_x, 0, 0),\n",
    "    size=(0, 6, 6),\n",
    "    m=4,\n",
    "    p=10,\n",
    "    e=2,\n",
    "    source_time=td.GaussianPulse(freq0=freq0, fwidth=freq0 / 10),\n",
    "    waist_distance=IGB_x,\n",
    "    display_profile=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "5c997fb3-9f6a-43a6-8a15-f9999f1dd0b8",
   "metadata": {},
   "outputs": [],
   "source": [
    "sim_size = (10.5, 10, 10)\n",
    "sim_center = (IGB_x + sim_size[0] / 2 - 0.1, 0, 0)\n",
    "\n",
    "num_field_monitors = 61\n",
    "field_monitor_xs = np.linspace(IGB_x + 0.1, IGB_x + sim_size[0] / 2 - 0.1, num_field_monitors)\n",
    "field_monitors = []\n",
    "for x in field_monitor_xs:\n",
    "    field_monitor = td.FieldMonitor(\n",
    "        center=(x, 0, 0), size=(0, sim_size[1], sim_size[2]), name=str(x), freqs=[freq0]\n",
    "    )\n",
    "    field_monitors.append(field_monitor)\n",
    "\n",
    "auto = td.AutoGrid(min_steps_per_wvl=40)\n",
    "\n",
    "Ince_Gaussian_test_sim = td.Simulation(\n",
    "    center=sim_center,\n",
    "    size=sim_size,\n",
    "    structures=[],\n",
    "    sources=[IGB],\n",
    "    monitors=field_monitors,\n",
    "    run_time=1e-13,\n",
    "    grid_spec=td.GridSpec(grid_x=auto, grid_y=auto, grid_z=auto),\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "c04d000f-7abd-406a-bd32-c46522bf7ca4",
   "metadata": {
    "scrolled": true
   },
   "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\">10:13:04 EDT </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'Ince-Gaussian test'</span> with task_id                     \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-5f31a9c6-cc0b-4aa3-ac06-e22797c3657c'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:13:04 EDT\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'Ince-Gaussian test'\u001b[0m with task_id                     \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-5f31a9c6-cc0b-4aa3-ac06-e22797c3657c'\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-5f31a9c6-cc0b-4aa3-ac06-e22797c3657c\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-5f31a9c6-cc0</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-5f31a9c6-cc0b-4aa3-ac06-e22797c3657c\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">b-4aa3-ac06-e22797c3657c'</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=972994;https://tidy3d.simulation.cloud/workbench?taskId=fdve-5f31a9c6-cc0b-4aa3-ac06-e22797c3657c\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=239379;https://tidy3d.simulation.cloud/workbench?taskId=fdve-5f31a9c6-cc0b-4aa3-ac06-e22797c3657c\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=972994;https://tidy3d.simulation.cloud/workbench?taskId=fdve-5f31a9c6-cc0b-4aa3-ac06-e22797c3657c\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=581781;https://tidy3d.simulation.cloud/workbench?taskId=fdve-5f31a9c6-cc0b-4aa3-ac06-e22797c3657c\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=972994;https://tidy3d.simulation.cloud/workbench?taskId=fdve-5f31a9c6-cc0b-4aa3-ac06-e22797c3657c\u001b\\\u001b[32m-5f31a9c6-cc0\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=972994;https://tidy3d.simulation.cloud/workbench?taskId=fdve-5f31a9c6-cc0b-4aa3-ac06-e22797c3657c\u001b\\\u001b[32mb-4aa3-ac06-e22797c3657c'\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/ee7143f0-3861-47de-ae8f-8f55df7232f1\" 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=212588;https://tidy3d.simulation.cloud/folders/ee7143f0-3861-47de-ae8f-8f55df7232f1\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a3b12f00117346ef97bce0253e4d2b79",
       "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\">10:13:07 EDT </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.586</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;36m10:13:07 EDT\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.586\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\">10:13:08 EDT </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:13:08 EDT\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2126ae765b1b4230a42dd05bd52331d2",
       "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\">10:14:19 EDT </span>loading simulation from simulation_data.hdf5                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:14:19 EDT\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ince_gaussian_sim_data = web.run(simulation=Ince_Gaussian_test_sim, task_name=\"Ince-Gaussian test\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "cabffc47-fa9e-4aff-8ba3-b4406103694f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ince_gaussian_sim_data.plot_field(str(field_monitor_xs[0]), \"E\", val=\"abs\", f=freq0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "b477de54-adc9-41ca-a737-0bde7628ae11",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6ac1d3c309da434e8e73ec333f28fa19",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(FloatSlider(value=0.0, description='E', max=4.15, min=-0.9, readout_format='.3f', step=N…"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import ipywidgets as widgets\n",
    "\n",
    "component = \"E\"\n",
    "\n",
    "field_slider = widgets.FloatSlider(\n",
    "    value=0,\n",
    "    min=field_monitor_xs[0],\n",
    "    max=field_monitor_xs[-1],\n",
    "    step=None,\n",
    "    description=component,\n",
    "    disabled=False,\n",
    "    continuous_update=True,\n",
    "    orientation=\"horizontal\",\n",
    "    readout=True,\n",
    "    readout_format=\".3f\",\n",
    ")\n",
    "\n",
    "\n",
    "def update_plot(x):\n",
    "    if x not in field_monitor_xs:\n",
    "        x = min(field_monitor_xs, key=lambda ll: abs(ll - x))\n",
    "    ince_gaussian_sim_data.plot_field(str(x), component, val=\"abs\", f=freq0)\n",
    "    plt.show()\n",
    "\n",
    "\n",
    "widgets.interactive(update_plot, x=field_slider)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "83f68037-14d4-44d9-8878-0471febe3428",
   "metadata": {},
   "source": [
    "## Hyper-geometric Gaussian modes\n",
    "\n",
    "Here we show how to create a Hyper-geometric Gaussian (HGG) beam in Tidy3D using our [CustomFieldSource](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.CustomFieldSource.html) object. We then validate the phase change along the propagation direction.<br><br>\n",
    "In cylindrical coordinates, where $\\rho=\\frac{r}{\\omega_0}$ is the normalized radial coordinate and $Z=\\frac{z}{z_R}$ is the normalized longitude direction (the direction of propagation), the HGG has field profile\n",
    "\n",
    "<center>$E_{p,m}\\Bigl(\\rho,\\phi,Z\\Bigr)=\\sqrt{\\frac{2^{p+|m|+1}}{\\pi\\Gamma(p+|m|+1)}}\\frac{\\Gamma\\Bigl(\\frac{p}{2}+|m|+1\\Bigr)}{\\Gamma(|m|+1)}i^{|m|+1}Z^{\\frac{p}{2}}(Z+i)^{-\\Bigl(\\frac{p}{2}+|m|+1\\Bigr)}\\rho^{|m|}\\exp\\Bigl(-\\frac{i\\rho^2}{Z+i}\\Bigr) e^{im\\phi} {_1}F_1\\Bigl(-\\frac{p}{2},|m|+1;\\frac{\\rho^2}{Z(Z+i)}\\Bigr)$</center>\n",
    "\n",
    "where:\n",
    "<li>$\\omega_0$ is the beam waist</li>\n",
    "<li>$z_R=\\frac{\\pi n_\\epsilon\\omega_0^2}{\\lambda}$ is the Rayleigh length</li>\n",
    "<li>$m$ is the rotational index</li>\n",
    "<li>$p\\geq-|m|$</li>\n",
    "<li>$\\Gamma(x)$ is the gamma function</li>\n",
    "<li>${_1}F_1(a,b;x)$ is a confluent hypergeometric function</li>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "b5dec480-68fa-44a2-8665-ddd252ceacd7",
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy.special import hyp1f1\n",
    "\n",
    "\n",
    "def HGG(\n",
    "    size,\n",
    "    p,\n",
    "    m,\n",
    "    source_time,\n",
    "    center=(0, 0, 0),\n",
    "    direction=\"+\",\n",
    "    pol_angle=0,\n",
    "    angle_phi=0,\n",
    "    angle_theta=0,\n",
    "    w0=1,\n",
    "    waist_distance=0,\n",
    "):\n",
    "    if p < -np.abs(m):\n",
    "        raise Exception(\"Error: p must be greater than or equal to -|m|\")\n",
    "    freqs = [source_time.freq0]\n",
    "\n",
    "    class HGG_obj(BeamProfile):\n",
    "        \"\"\"Component for constructing HGG beam data. The normal direction is implicitly\n",
    "        defined by the ``size`` parameter.\n",
    "        \"\"\"\n",
    "\n",
    "        def scalar_field(self, points, background_n):\n",
    "            \"\"\"Scalar field for HGG beam.\n",
    "            Scalar field corresponding to the analytic beam in coordinate system such that the\n",
    "            propagation direction is z and the ``E``-field is entirely ``x``-polarized. The field is\n",
    "            computed on an unstructured array ``points`` of shape ``(3, ...)``.\n",
    "            \"\"\"\n",
    "            x, y, z = points\n",
    "            z += waist_distance\n",
    "\n",
    "            r = np.sqrt(x**2 + y**2) / w0\n",
    "            phi = np.arctan2(y, x)\n",
    "            abs_m = np.abs(m)\n",
    "\n",
    "            E = source_time.amplitude * np.sqrt(\n",
    "                2 ** (p + abs_m + 1) / (np.pi * gamma(p + abs_m + 1))\n",
    "            )\n",
    "\n",
    "            Z = z / (np.pi * background_n * w0**2 / (td.C_0 / np.array(self.freqs)))\n",
    "            if np.all(Z) == 0:\n",
    "                return E * r ** (p + abs_m) * np.exp(-(r**2) + 1j * m * phi)\n",
    "\n",
    "            E *= gamma(p / 2 + abs_m + 1) / gamma(abs_m + 1) * 1j ** (abs_m + 1) * Z ** (p / 2)\n",
    "            E *= (Z + 1j) ** (-(p / 2 + abs_m + 1)) * r**abs_m * np.exp(-(1j * r**2) / (Z + 1j))\n",
    "            E *= np.exp(1j * m * phi) * hyp1f1(-p / 2, abs_m + 1, r**2 / (Z * (Z + 1j)))\n",
    "\n",
    "            return E\n",
    "\n",
    "    HGG_obj = HGG_obj(\n",
    "        center=center,\n",
    "        size=size,\n",
    "        freqs=freqs,\n",
    "        angle_theta=angle_theta,\n",
    "        angle_phi=angle_phi,\n",
    "        pol_angle=pol_angle,\n",
    "        direction=direction,\n",
    "    )\n",
    "    field_data = HGG_obj.field_data\n",
    "    field_dataset = td.FieldDataset(\n",
    "        Ex=field_data.Ex,\n",
    "        Ey=field_data.Ey,\n",
    "        Ez=field_data.Ez,\n",
    "        Hx=field_data.Hx,\n",
    "        Hy=field_data.Hy,\n",
    "        Hz=field_data.Hz,\n",
    "    )\n",
    "    HGG_source = td.CustomFieldSource(\n",
    "        center=center, size=size, source_time=source_time, field_dataset=field_dataset\n",
    "    )\n",
    "    return HGG_source"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3eed53a4-04cd-49a0-bcc4-069f78e740a2",
   "metadata": {},
   "source": [
    "Create and run example HGG beam:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "dde4141e-ea33-4f36-949d-311ce5fbf606",
   "metadata": {},
   "outputs": [],
   "source": [
    "freq0 = td.C_0 / 1.55\n",
    "hgg = HGG(size=(0, 4, 4), p=1, m=2, source_time=td.GaussianPulse(freq0=freq0, fwidth=freq0 / 10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "8b307c51-4007-40aa-bac5-4f0ac7cf7d6a",
   "metadata": {},
   "outputs": [],
   "source": [
    "sim_size = (5.1, 5, 5)\n",
    "sim_center = (sim_size[0] / 2 - 0.05, 0, 0)\n",
    "\n",
    "num_field_monitors = 61\n",
    "field_monitor_xs = np.linspace(\n",
    "    sim_center[0] - sim_size[0] / 2 + 0.1, sim_size[0] - 0.1, num_field_monitors\n",
    ")\n",
    "field_monitors = []\n",
    "for x in field_monitor_xs:\n",
    "    field_monitor = td.FieldMonitor(\n",
    "        center=(x, 0, 0), size=(0, sim_size[1], sim_size[2]), name=str(x), freqs=[freq0]\n",
    "    )\n",
    "    field_monitors.append(field_monitor)\n",
    "\n",
    "HGG_test_sim = td.Simulation(\n",
    "    center=sim_center,\n",
    "    size=sim_size,\n",
    "    structures=[],\n",
    "    sources=[hgg],\n",
    "    monitors=field_monitors,\n",
    "    run_time=1e-13,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "b611fea9-b5b1-4849-ba74-9c59c9c44395",
   "metadata": {
    "scrolled": true
   },
   "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\">10:14:22 EDT </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'HGG test'</span> with task_id                               \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-d412f0b6-b6f9-42c0-bb26-c60d20ef004e'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:14:22 EDT\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'HGG test'\u001b[0m with task_id                               \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-d412f0b6-b6f9-42c0-bb26-c60d20ef004e'\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-d412f0b6-b6f9-42c0-bb26-c60d20ef004e\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-d412f0b6-b6f</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-d412f0b6-b6f9-42c0-bb26-c60d20ef004e\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">9-42c0-bb26-c60d20ef004e'</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=559550;https://tidy3d.simulation.cloud/workbench?taskId=fdve-d412f0b6-b6f9-42c0-bb26-c60d20ef004e\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=6111;https://tidy3d.simulation.cloud/workbench?taskId=fdve-d412f0b6-b6f9-42c0-bb26-c60d20ef004e\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=559550;https://tidy3d.simulation.cloud/workbench?taskId=fdve-d412f0b6-b6f9-42c0-bb26-c60d20ef004e\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=433267;https://tidy3d.simulation.cloud/workbench?taskId=fdve-d412f0b6-b6f9-42c0-bb26-c60d20ef004e\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=559550;https://tidy3d.simulation.cloud/workbench?taskId=fdve-d412f0b6-b6f9-42c0-bb26-c60d20ef004e\u001b\\\u001b[32m-d412f0b6-b6f\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=559550;https://tidy3d.simulation.cloud/workbench?taskId=fdve-d412f0b6-b6f9-42c0-bb26-c60d20ef004e\u001b\\\u001b[32m9-42c0-bb26-c60d20ef004e'\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/ee7143f0-3861-47de-ae8f-8f55df7232f1\" 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=151680;https://tidy3d.simulation.cloud/folders/ee7143f0-3861-47de-ae8f-8f55df7232f1\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "db068234a76246f7a170584c34e93dcd",
       "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\">10:14:25 EDT </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;36m10:14:25 EDT\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\">10:14:26 EDT </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:14:26 EDT\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3823bae1ad914fb193200ca3f14b74e1",
       "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\">10:14:31 EDT </span>loading simulation from simulation_data.hdf5                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:14:31 EDT\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hgg_sim_data = web.run(simulation=HGG_test_sim, task_name=\"HGG test\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bca1a419-41a3-4273-9878-dae3b36496f2",
   "metadata": {},
   "source": [
    "Display field in propagation direction:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "ba741b21-0aa5-460b-a66a-8106db5eaa99",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hgg_sim_data.plot_field(str(field_monitor_xs[30]), \"Ey\", f=freq0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7bf57a24-f137-4405-b3ab-cec626e1aacd",
   "metadata": {},
   "source": [
    "To see how the field evolves, run the following code to visualize along the propagation direction."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "496022b9-fc6b-4560-a34f-40697f7d49f5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "50840809502d4d7790a037cd41b96b4e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(FloatSlider(value=0.05000000000000018, description='Ey', max=5.0, min=0.0500000000000001…"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import ipywidgets as widgets\n",
    "\n",
    "component = \"Ey\"\n",
    "\n",
    "field_slider = widgets.FloatSlider(\n",
    "    value=0,\n",
    "    min=field_monitor_xs[0],\n",
    "    max=field_monitor_xs[-1],\n",
    "    step=None,\n",
    "    description=component,\n",
    "    disabled=False,\n",
    "    continuous_update=True,\n",
    "    orientation=\"horizontal\",\n",
    "    readout=True,\n",
    "    readout_format=\".3f\",\n",
    ")\n",
    "\n",
    "\n",
    "def update_plot(x):\n",
    "    if x not in field_monitor_xs:\n",
    "        x = min(field_monitor_xs, key=lambda ll: abs(ll - x))\n",
    "    hgg_sim_data.plot_field(str(x), component, f=freq0)\n",
    "    plt.show()\n",
    "\n",
    "\n",
    "widgets.interactive(update_plot, x=field_slider)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "92d1559b-1d9d-4949-9344-240d9fb54dd9",
   "metadata": {},
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