{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "924994bb-9a9a-4fa5-9b08-a9a8099fb240",
   "metadata": {},
   "source": [
    "# Parameter sweep in RF simulation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15ca3277-25b4-4973-8dea-67054f844ec0",
   "metadata": {},
   "source": [
    "This notebook demonstrates how to perform parameter sweeps in RF simulations. Individual RF simulations are defined by `TerminalComponentModeler` (TCM) objects. To define a batch job, we simply construct a dictionary of TCM objects where each `(key, value)` pair contains a user-defined text label and the corresponding TCM object. Then, we use the usual `web.run()` command to submit this `dict` object instead of a single TCM. \n",
    "\n",
    "There are many different methods to generate the dictionary of TCM simulations. For basic parameter sweeps, one can define a parametric wrapper function to build the TCM for a given parameter value set. Then, use a basic `for` loop to iteratively build the dictionary. This workflow is demonstrated below. After the batch simulations are completed, we also demonstrate how to access the S-parameter and field monitor data. \n",
    "\n",
    "The workflow extends very easily to other design space exploration (DSE) algorithms. Simply replace the basic `for` loop with the appropriate logic for the DSE algorithm."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "083fd919-997f-4913-a1d3-08dab7c150be",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import tidy3d as td\n",
    "import tidy3d.rf as rf\n",
    "import tidy3d.web as web\n",
    "\n",
    "td.config.logging.level = \"ERROR\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fdc238db-ea31-424a-a928-eca847bc68c8",
   "metadata": {},
   "source": [
    "Below, we set up some of the basic parameters of this demo. We will be constructing an edge-fed metal patch, and sweeping the width (y length) of the patch. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6e26f492-6a03-408f-9873-8bb62e625282",
   "metadata": {},
   "source": [
    "<center><img src=\"./img/param_sweep_rf.png\" width=540 /></center>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "bec9d235-ec7b-48fc-9a65-be02f0dd6dd9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Frequency range\n",
    "f_min, f_max = (1e9, 20e9)\n",
    "f0 = (f_max + f_min) / 2\n",
    "freqs = np.linspace(f_min, f_max, 601)\n",
    "\n",
    "# Geometry dimensions\n",
    "mm = 1000\n",
    "Lsub, Wsub = (20 * mm, 20 * mm)  # substrate dimensions\n",
    "Hsub = 1.5 * mm  # substrate thickness\n",
    "Hmetal = 0.035 * mm  # metal thickness\n",
    "Lpatch = 8 * mm  # patch dimensions\n",
    "Lfeed, Wfeed = ((Lsub - Lpatch) / 2, 2.9 * mm)  # feedline size\n",
    "\n",
    "# Materials\n",
    "metal = rf.LossyMetalMedium(conductivity=58, frequency_range=(f_min, f_max))\n",
    "dielectric = td.Medium(permittivity=4.3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f2c878f2-9792-4b43-8f37-6701f74c5774",
   "metadata": {},
   "source": [
    "## Defining a Parametric Wrapper Function"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ae72f916-0360-4636-abe3-57aee4cb37e6",
   "metadata": {},
   "source": [
    "Instead of defining a static `TerminalComponentModeler`, we define a wrapper function `build_tcm()` that dynamically generates the TCM for a given `patch_width`. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f582674e-9b36-468e-b978-0320c9eb98c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Parametric function that generates a TerminalComponentModeler (TCM)\n",
    "def build_tcm(patch_width):\n",
    "    # Build structures\n",
    "    substrate = td.Structure(\n",
    "        geometry=td.Box(center=(0, 0, -Hsub / 2), size=(Lsub, Wsub, Hsub)), medium=dielectric\n",
    "    )\n",
    "    ground = td.Structure(\n",
    "        geometry=td.Box(center=(0, 0, -Hsub - Hmetal / 2), size=(Lsub, Wsub, Hmetal)), medium=metal\n",
    "    )\n",
    "    feed = td.Structure(\n",
    "        geometry=td.Box(\n",
    "            center=(-Lpatch / 2 - Lfeed / 2, 0, Hmetal / 2), size=(Lfeed, Wfeed, Hmetal)\n",
    "        ),\n",
    "        medium=metal,\n",
    "    )\n",
    "\n",
    "    # Build patch (note use of input parameter patch_width)\n",
    "    patch = td.Structure(\n",
    "        geometry=td.Box(center=(0, 0, Hmetal / 2), size=(Lpatch, patch_width, Hmetal)), medium=metal\n",
    "    )\n",
    "\n",
    "    # Define port\n",
    "    LP1 = rf.LumpedPort(\n",
    "        center=(-Lsub / 2, 0, -Hsub / 2), size=(0, Wfeed, Hsub), voltage_axis=2, name=\"LP1\"\n",
    "    )\n",
    "\n",
    "    # Define field monitor\n",
    "    mon_1 = td.FieldMonitor(size=(td.inf, td.inf, 0), freqs=[f0], name=\"field (z=0)\")\n",
    "\n",
    "    # Define layer refinement\n",
    "    lr_options = {\n",
    "        \"min_steps_along_axis\": 1,\n",
    "        \"corner_refinement\": td.GridRefinement(dl=0.15 * mm, num_cells=2),\n",
    "    }\n",
    "    layer_ref_1 = rf.LayerRefinementSpec.from_structures(structures=[feed, patch], **lr_options)\n",
    "    layer_ref_2 = rf.LayerRefinementSpec.from_structures(structures=[ground], **lr_options)\n",
    "\n",
    "    # Define grid\n",
    "    grid_spec = td.GridSpec.auto(\n",
    "        wavelength=td.C_0 / f0,\n",
    "        min_steps_per_wvl=20,\n",
    "        layer_refinement_specs=[layer_ref_1, layer_ref_2],\n",
    "    )\n",
    "\n",
    "    # Define simulation and TCM\n",
    "    sim = td.Simulation(\n",
    "        size=(30 * mm, 30 * mm, 8 * mm),\n",
    "        structures=[substrate, ground, feed, patch],\n",
    "        monitors=[mon_1],\n",
    "        grid_spec=grid_spec,\n",
    "        run_time=5e-9,\n",
    "        plot_length_units=\"mm\",\n",
    "    )\n",
    "    tcm = rf.TerminalComponentModeler(simulation=sim, ports=[LP1], freqs=freqs)\n",
    "\n",
    "    # Return TCM object\n",
    "    return tcm"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f89ee72-0b4a-4477-a2d6-b461e7d81d8c",
   "metadata": {},
   "source": [
    "## Generate Batch Dictionary"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d515a5aa-016b-4fd1-bd49-fa44c18f32a2",
   "metadata": {},
   "source": [
    "Using `build_tcm()`, we iteratively construct a dictionary `dict_tcm`, whose `(key, value)` pairs are given by a user-defined text label from `sweep_labels` and the respective TCM instance."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "276780ba-41f3-48f1-9c2c-c2578afb577d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Generate list of sweep values and corresponding labels\n",
    "sweep_values = np.linspace(10 * mm, 12 * mm, 3)\n",
    "sweep_labels = [f\"patch_width={val / mm:.1f}mm\" for val in sweep_values]\n",
    "\n",
    "# Iteratively generate dict for batch job\n",
    "dict_tcm = {}\n",
    "for label, val in zip(sweep_labels, sweep_values):\n",
    "    dict_tcm[label] = build_tcm(patch_width=val)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "16c69c9a-2c9d-4d5c-95f6-a0486f96573c",
   "metadata": {},
   "source": [
    "Before running, we can iterate over `dict_tcm` to inspect individual jobs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f3f62eee-8a8d-43f8-ba8a-9bab5539788a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 3, figsize=(10, 6), tight_layout=True)\n",
    "for ii, (label, tcm_plot) in enumerate(dict_tcm.items()):\n",
    "    tcm_plot.plot_sim(z=0, ax=ax[ii], monitor_alpha=0)\n",
    "    tcm_plot.simulation.plot_grid(z=0, ax=ax[ii])\n",
    "    ax[ii].set_xlim(-Lsub / 2, Lsub / 2)\n",
    "    ax[ii].set_ylim(-Wsub / 2, Wsub / 2)\n",
    "    ax[ii].set_title(label)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b6eaf056-93d3-488a-9209-171170bcb4aa",
   "metadata": {},
   "source": [
    "## Submit Batch Job"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e598c198-3fba-4bed-a96d-01f823a552c3",
   "metadata": {},
   "source": [
    "We use the `web.run()` method to initiate the job. The syntax for submitting a batch TCM job is identical to that of submitting a single TCM job."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "80b7e8e9-9460-49b8-8a37-ad97b280239b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3a2e754af31041caac0ca8eed6c97783",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:49:08 EST </span>Started working on Batch containing <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span> tasks.                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:49:08 EST\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch containing \u001b[1;36m3\u001b[0m tasks.                       \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\">15:49:17 EST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.075</span> for the whole batch.                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:49:17 EST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.075\u001b[0m for the whole batch.                \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>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit cost after    \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>completion.                                                        \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit cost after    \n",
       "\u001b[2;36m             \u001b[0mcompletion.                                                        \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0918d87e3dd742a487337e508c4b0acf",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">15:50:13 EST </span>Batch complete.                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m15:50:13 EST\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Submit batch job\n",
    "batch_tcm_data = web.run(dict_tcm, task_name=\"RF parameter sweep demo\", path=\"./data\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f0190726-3ca6-44f9-81c3-9e1957517e52",
   "metadata": {},
   "source": [
    "## Process Batch Results"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8dd529f1-f16f-4f02-9713-8cdb510d3f1e",
   "metadata": {},
   "source": [
    "After a successful batch run, we use the returned `dict` object `batch_tcm_data` to access the result data. Its structure mirrors that of the dictionary `dict_tcm` that generated it - that is, one can access the individual job data using the same key label `tcm_data = batch_tcm_data[key_label]`. One can also iterate over all batch data using the `batch_tcm_data.items()` iterator, demonstrated below. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c0861382-f5f1-4489-a92b-e4be05d40e02",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot S11 comparison\n",
    "fig, ax = plt.subplots(figsize=(10, 4), tight_layout=True)\n",
    "for label, tcm_data_iter in batch_tcm_data.items():\n",
    "    # Get S11 in dB\n",
    "    S11 = tcm_data_iter.smatrix().data.squeeze()\n",
    "    S11dB = 20 * np.log10(np.abs(S11))\n",
    "    # Plot S11\n",
    "    ax.plot(freqs / 1e9, S11dB, label=label)\n",
    "ax.legend()\n",
    "ax.grid()\n",
    "ax.set_xlabel(\"f (GHz)\")\n",
    "ax.set_ylabel(\"S11 (dB)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5551155-985b-4f01-8c9e-ddf4fa8427e0",
   "metadata": {},
   "source": [
    "One can follow a similar process to access `FieldMonitor` data if present in the simulation. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ee904c30-7959-4208-9460-cfb1219a644b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x300 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot field monitor results\n",
    "fig, ax = plt.subplots(1, 3, figsize=(10, 3), tight_layout=True)\n",
    "for ii, (label, tcm_data_iter) in enumerate(batch_tcm_data.items()):\n",
    "    sim_data = tcm_data_iter.data[\"LP1\"]  # Get simulation data from port 1 excitation\n",
    "    sim_data.plot_field(\"field (z=0)\", field_name=\"E\", val=\"abs\", ax=ax[ii])\n",
    "    ax[ii].set_xlim(-Lsub / 2, Lsub / 2)\n",
    "    ax[ii].set_ylim(-Lsub / 2, Lsub / 2)\n",
    "    ax[ii].set_title(label)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9c7f3557-5239-4764-b05d-b38ef55805eb",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "description": "This RF notebook demonstrates how to set up a simple parameter sweep with the TerminalComponentModeler.",
  "feature_image": "./img/param_sweep_rf.png",
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "keywords": "Tidy3d, FDTD, RF, parameter sweep, design space exploration, patch, PCB",
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.13.2"
  },
  "title": "How to perform a parameter sweep in a RF simulation."
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
