{ "cells": [ { "cell_type": "markdown", "id": "e8df7288", "metadata": {}, "source": [ "# Start here\n", "\n", "This is a basic Tidy3D script showing the FDTD simulation of a delectric cube in the presence of a point dipole." ] }, { "cell_type": "code", "execution_count": 1, "id": "1ea643db", "metadata": { "tags": [] }, "outputs": [], "source": [ "import numpy as np\n", "\n", "# import the package and the web API\n", "import tidy3d as td\n", "import tidy3d.web as web\n" ] }, { "cell_type": "code", "execution_count": 2, "id": "0d73a70a", "metadata": { "tags": [] }, "outputs": [], "source": [ "# set up parameters of simulation (length scales are micrometers)\n", "grid_cells_per_wvl = 30\n", "pml = td.PML()\n", "sim_size = (4, 4, 4)\n", "lambda0 = 1.0\n", "freq0 = td.C_0 / lambda0\n", "fwidth = freq0 / 10.0\n", "run_time = 12.0 / fwidth\n", "\n", "# create structure\n", "dielectric = td.Medium.from_nk(n=2, k=0, freq=freq0)\n", "square = td.Structure(\n", " geometry=td.Box(center=(0, 0, 0), size=(1.5, 1.5, 1.5)), medium=dielectric\n", ")\n", "\n", "# create source\n", "source = td.UniformCurrentSource(\n", " center=(-1.5, 0, 0),\n", " size=(0, 0.4, 0.4),\n", " source_time=td.GaussianPulse(freq0=freq0, fwidth=fwidth),\n", " polarization=\"Ey\",\n", ")\n", "\n", "# create monitor\n", "monitor = td.FieldMonitor(\n", " fields=[\"Ex\", \"Ey\", \"Hz\"],\n", " center=(0, 0, 0),\n", " size=(td.inf, td.inf, 0),\n", " freqs=[freq0],\n", " name=\"fields_on_plane\",\n", ")\n", "\n", "# Initialize simulation\n", "sim = td.Simulation(\n", " size=sim_size,\n", " grid_spec=td.GridSpec.auto(min_steps_per_wvl=grid_cells_per_wvl),\n", " structures=[square],\n", " sources=[source],\n", " monitors=[monitor],\n", " run_time=run_time,\n", " boundary_spec=td.BoundarySpec.all_sides(boundary=td.PML()),\n", ")\n" ] }, { "cell_type": "code", "execution_count": 3, "id": "21f75a2a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "simulation grid is shaped [192, 192, 192] for 7 million cells.\n" ] } ], "source": [ "print(\n", " f\"simulation grid is shaped {sim.grid.num_cells} for {int(np.prod(sim.grid.num_cells)/1e6)} million cells.\"\n", ")\n" ] }, { "cell_type": "code", "execution_count": 4, "id": "52c4fd32", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/html": [ "
[15:16:35] Created task 'quickstart' with task_id 'fdve-a1e8f676-419f-4ca8-a693-02ca5e02f1e6v1'.      webapi.py:139\n",
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[15:16:42] status = preprocess                                                                        webapi.py:263\n",
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[15:16:49] Maximum FlexCredit cost: 0.028. Use 'web.real_cost(task_id)' to get the billed FlexCredit cost webapi.py:286\n",
       "           after a simulation run.                                                                                 \n",
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       "\u001b[2;36m           \u001b[0mafter a simulation run.                                                                    \u001b[2m             \u001b[0m\n"
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           starting up solver                                                                         webapi.py:290\n",
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[15:17:13] early shutoff detected, exiting.                                                           webapi.py:313\n",
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[15:17:14] status = postprocess                                                                       webapi.py:330\n",
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[15:17:17] status = success                                                                           webapi.py:337\n",
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[15:17:24] loading SimulationData from data/data.hdf5                                                 webapi.py:512\n",
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    "# run the simulation, download the data.\n",
    "data = web.run(sim, task_name=\"quickstart\", path=\"data/data.hdf5\", verbose=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "bfe889fc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Simulation domain Nx, Ny, Nz: [192, 192, 192]\n",
      "Applied symmetries: (0, 0, 0)\n",
      "Number of computational grid points: 7.3014e+06.\n",
      "Using subpixel averaging: True\n",
      "Number of time steps: 1.2659e+04\n",
      "Automatic shutoff factor: 1.00e-05\n",
      "Time step (s): 3.1624e-17\n",
      "\n",
      "\n",
      "Compute source modes time (s):     0.0133\n",
      "Compute monitor modes time (s):    0.0025\n",
      "Rest of setup time (s):            6.7563\n",
      "\n",
      "Running solver for 12659 time steps...\n",
      "- Time step    506 / time 1.60e-14s (  4 % done), field decay: 1.00e+00\n",
      "- Time step    839 / time 2.65e-14s (  6 % done), field decay: 1.00e+00\n",
      "- Time step   1012 / time 3.20e-14s (  8 % done), field decay: 1.00e+00\n",
      "- Time step   1519 / time 4.80e-14s ( 12 % done), field decay: 1.44e-01\n",
      "- Time step   2025 / time 6.40e-14s ( 16 % done), field decay: 3.23e-02\n",
      "- Time step   2531 / time 8.00e-14s ( 20 % done), field decay: 1.37e-02\n",
      "- Time step   3038 / time 9.61e-14s ( 24 % done), field decay: 6.90e-03\n",
      "- Time step   3544 / time 1.12e-13s ( 28 % done), field decay: 3.30e-03\n",
      "- Time step   4050 / time 1.28e-13s ( 32 % done), field decay: 2.38e-03\n",
      "- Time step   4557 / time 1.44e-13s ( 36 % done), field decay: 1.63e-03\n",
      "- Time step   5063 / time 1.60e-13s ( 40 % done), field decay: 1.20e-03\n",
      "- Time step   5569 / time 1.76e-13s ( 44 % done), field decay: 7.23e-04\n",
      "- Time step   6076 / time 1.92e-13s ( 48 % done), field decay: 4.98e-04\n",
      "- Time step   6582 / time 2.08e-13s ( 52 % done), field decay: 2.31e-04\n",
      "- Time step   7089 / time 2.24e-13s ( 56 % done), field decay: 1.57e-04\n",
      "- Time step   7595 / time 2.40e-13s ( 60 % done), field decay: 6.76e-05\n",
      "- Time step   8101 / time 2.56e-13s ( 64 % done), field decay: 7.59e-05\n",
      "- Time step   8608 / time 2.72e-13s ( 68 % done), field decay: 4.44e-05\n",
      "- Time step   9114 / time 2.88e-13s ( 72 % done), field decay: 6.20e-05\n",
      "- Time step   9620 / time 3.04e-13s ( 76 % done), field decay: 2.67e-05\n",
      "- Time step  10127 / time 3.20e-13s ( 80 % done), field decay: 3.19e-05\n",
      "- Time step  10633 / time 3.36e-13s ( 84 % done), field decay: 1.45e-05\n",
      "- Time step  11139 / time 3.52e-13s ( 88 % done), field decay: 2.07e-05\n",
      "- Time step  11646 / time 3.68e-13s ( 92 % done), field decay: 5.97e-06\n",
      "Field decay smaller than shutoff factor, exiting solver.\n",
      "\n",
      "Solver time (s):                   15.8423\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# see the log\n",
    "print(data.log)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "eecc9790",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "
"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the fields stored in the monitor\n",
    "ax = data.plot_field(\"fields_on_plane\", \"Ey\", z=0)\n",
    "_ = ax.set_title(\"Ey(x,y)\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6e68a0f2",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.9"
  },
  "widgets": {
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    "state": {
     "06fd4365a54648c69f4e1f93ef69c874": {
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      "state": {
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       "_view_module": "@jupyter-widgets/output",
       "_view_module_version": "1.0.0",
       "_view_name": "OutputView",
       "layout": "IPY_MODEL_8f5d6369a5124b44a11ac9ab35ad1619",
       "msg_id": "",
       "outputs": [
        {
         "data": {
          "text/html": "
% done (field decay = 5.97e-06) \u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501 100% 0:00:00\n
\n",
          "text/plain": "% done (field decay = 5.97e-06) \u001b[38;2;114;156;31m\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u001b[0m \u001b[35m100%\u001b[0m \u001b[36m0:00:00\u001b[0m\n"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ]
      }
     },
     "0dfbf6ff9b2b4fb1a21b69b35fa89610": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
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       "align_self": null,
       "border": null,
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       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "5aaeadc767014c298d1a1407a04ebca9": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
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      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/output",
       "_model_module_version": "1.0.0",
       "_model_name": "OutputModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/output",
       "_view_module_version": "1.0.0",
       "_view_name": "OutputView",
       "layout": "IPY_MODEL_0dfbf6ff9b2b4fb1a21b69b35fa89610",
       "msg_id": "",
       "outputs": [
        {
         "data": {
          "text/html": "
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