{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "# Adjoint Optimization of Rectangular Patch Antennas\n",
    "\n",
    "This notebook demonstrates the use of inverse design for the optimization of antennas. A simple rectangular patch antenna, as explored in our [Introduction to Antenna Simulation](https://www.flexcompute.com/tidy3d/examples/notebooks/AntennaCharacteristics/) notebook, is primarily defined by two parameters: its width and height. If you aren't familiar with it already, we strongly recommend going through [Introduction to Antenna Simulation](https://www.flexcompute.com/tidy3d/examples/notebooks/AntennaCharacteristics/) before this one as we will assume knowledge of the RF modeling workflow in tidy3d in this notebook. These are tuned to make the antenna resonate at a desired frequency and match the impedance of the feed line. Usually, these parameters can be found via intuitive design techniques and numerical formulas. However, in this example, we show a different strategy to tuning the antenna parameters. This notebook demonstrates gradient-based RF optimization in Tidy3D. This technique, enabled by the adjoint method and automatic differentiation (autograd), allows for the efficient and simultaneous optimization of all geometric parameters, also known as inverse design.\n",
    "\n",
    "We illustrate this process through the straightforward optimization to find the ideal width and height of a rectangular patch antenna for a single target frequency. In future notebooks, we will build on this example and show more intricate patch antenna designs that take advantage of inverse design to simultaneously tune large numbers of geometric parameters to meet user-defined metrics with high performance. The optimization geometry is shown below. The antenna consists of a metallic patch on a substrate with a ground plane, is excited by an offset feed line, and radiates into free space. \n",
    "\n",
    "<div style=\"display: flex; gap: 10px; justify-content: center;\">\n",
    "    <img src=\"img/rf_autograd_1_patch_antenna_thumbnail.png\" style=\"height:500px; object-fit: contain;\"/>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "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\">17:39:29 EST </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Using canonical configuration directory at                </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'/Users/gregoryroberts/.config/tidy3d'</span><span style=\"color: #800000; text-decoration-color: #800000\">. Found legacy directory at  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'~/.tidy3d'</span><span style=\"color: #800000; text-decoration-color: #800000\">, which will be ignored. Remove it manually or run      </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'tidy3d config migrate --delete-legacy'</span><span style=\"color: #800000; text-decoration-color: #800000\"> to clean up.               </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:39:29 EST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Using canonical configuration directory at                \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'/Users/gregoryroberts/.config/tidy3d'\u001b[0m\u001b[31m. Found legacy directory at  \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'~/.tidy3d'\u001b[0m\u001b[31m, which will be ignored. Remove it manually or run      \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'tidy3d config migrate --delete-legacy'\u001b[0m\u001b[31m to clean up.               \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import os\n",
    "import pickle\n",
    "\n",
    "import autograd.numpy as anp\n",
    "import matplotlib.patches as patches\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import optax\n",
    "import tidy3d as td\n",
    "import tidy3d.plugins.smatrix as smatrix\n",
    "from autograd import value_and_grad\n",
    "from rich.console import Console\n",
    "from rich.text import Text\n",
    "from tidy3d.plugins.microwave import rf_material_library\n",
    "from tidy3d.web import run\n",
    "\n",
    "# Setup console and printing parameters for rich printing during optimization loops\n",
    "console = Console()\n",
    "print_decimal_places = 2  # how many decimal places to use in printing\n",
    "print_iteration_frequency = 5  # how often to print optimization progress"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Configuration and Parameters\n",
    "\n",
    "In this first section, we set up a variety of parameters for the optimization, including the frequency bands (specified in Hz) and resonance target as well as useful geometric parameters. Similar to other RF examples, we introduce a scaling factor to convert the default unit in Tidy3D of micrometers to millimeters (mm), which is more commonly used in antenna simulations. Thus, the default unit when looking at constants in this notebook is millimeters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# length scales and geometric parameters for optimization\n",
    "mm = 1e3  # mm scaling\n",
    "\n",
    "# feedline parameters\n",
    "feed_x = 2.46 * mm  # width of feed\n",
    "feed_y = 20 * mm  # length of feed\n",
    "feed_offset = 2.09 * mm  # feed offset from center of patch\n",
    "\n",
    "# substrate geometric parameters\n",
    "sub_width = 23.34 * mm\n",
    "sub_height_extension = 25 * mm\n",
    "\n",
    "sub_x = [-0.5 * sub_width, 0.5 * sub_width]\n",
    "sub_y = [-feed_y, sub_height_extension]\n",
    "sub_z = 0.68 * mm\n",
    "\n",
    "# center and size for placing directivity and far field monitors to capture radiation from the\n",
    "# antenna patch\n",
    "directivity_center_x = np.mean(sub_x)\n",
    "directivity_center_y = np.mean(sub_y)\n",
    "directivity_size_x = 5 * mm + sub_x[1] - sub_x[0]\n",
    "directivity_size_y = 5 * mm + sub_y[1] - sub_y[0]\n",
    "\n",
    "# frequency range (Hz) for simulating\n",
    "freq_start = 7e9\n",
    "freq_stop = 11e9\n",
    "# simulation frequencies to cover enough bandwidth for evaluating and optimizing antennas\n",
    "opt_sim_freqs = [8e9, 10e9]\n",
    "\n",
    "freq0 = 0.5 * (freq_start + freq_stop)  # central frequency\n",
    "wavelength0 = td.C_0 / freq0  # wavelength of central frequency in vacuum\n",
    "\n",
    "# frequencies for computing S-parameters of antennas\n",
    "freqs_s_params = np.linspace(freq_start, freq_stop, 200)\n",
    "\n",
    "# frequencies for optimizing different\n",
    "opt_freqs = [8.25e9]  # single patch target frequency\n",
    "\n",
    "# set ranges of theta and phi to record directivity for\n",
    "theta_directivity = np.linspace(-np.pi, np.pi, 201)\n",
    "phi_directivity = np.linspace(0, np.pi, 101)\n",
    "\n",
    "# set the optimization theta, phi grid for enhancing directivity around theta=0\n",
    "num_theta_opt_points = 12\n",
    "theta_opt = theta_directivity[\n",
    "    (len(theta_directivity) // 2) - (num_theta_opt_points // 2) : (len(theta_directivity) // 2)\n",
    "    + (num_theta_opt_points // 2)\n",
    "    + 1\n",
    "]\n",
    "phi_opt = phi_directivity  # use the full phi sweep, but limit the theta points to be centered around 0 degrees\n",
    "\n",
    "# materials for optimization\n",
    "air = td.Medium()  # set up the antennas so they radiate into air\n",
    "# choose common PCB material, ArlonAD255C, from the RF material library to use as substrate\n",
    "sub_medium = rf_material_library[\"AD255C\"][\"design\"]\n",
    "PEC = td.PEC2D  # thickness-free PEC medium for antenna patches, feed lines, and the ground plane"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create Simulation Objects\n",
    "\n",
    "To prepare for the optimization, we need to make a base simulation that we can add the antenna geometry and excitation source to. This base simulation includes the ground plane and substrate, the two structures below the patch antenna. In this simulation, we also set up `LayerRefinementSpec` objects around our ground, substrate, and patch antenna layers. The fine mesh improves accuracy of both the simulation and PEC gradients. As in other RF examples, the source will be added later via a `LumpedPort`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_base_sim():\n",
    "    \"\"\"\n",
    "    Creates the base simulation for evaluating and optimizing patch antennas. The base simulation includes the\n",
    "    substrate geometry, and ground plane. It also overrides a vertical slice of the simulation where the feed and\n",
    "    patch will be placed with a fine mesh override to ensure accurate simulation and gradients near the PEC boundaries.\n",
    "    \"\"\"\n",
    "    substrate_box = td.Box.from_bounds(\n",
    "        [sub_x[0], sub_y[0], -sub_z / 2.0],\n",
    "        [sub_x[1], sub_y[1], sub_z / 2.0],\n",
    "    )\n",
    "    # Define substrate structure\n",
    "    substrate = td.Structure(\n",
    "        geometry=substrate_box,\n",
    "        medium=sub_medium,\n",
    "    )\n",
    "\n",
    "    # Define ground plane structure and assign the material by PEC\n",
    "    ground_plane = td.Structure(\n",
    "        geometry=substrate_box.updated_copy(\n",
    "            center=list(substrate_box.center[0:2]) + [-sub_z / 2.0],\n",
    "            size=list(substrate_box.size[0:2]) + [0],\n",
    "        ),\n",
    "        medium=PEC,\n",
    "    )\n",
    "\n",
    "    # list of structures for the simulation arranged first by dielectric and then PEC to\n",
    "    # ensure PEC takes precedence at interfaces.\n",
    "    structures_list = [substrate, ground_plane]\n",
    "\n",
    "    # PML wavelength at 10 GHz\n",
    "    wl_pml = wavelength0\n",
    "\n",
    "    # quarter wavelength (at 10 GHz) padding on each side\n",
    "    sim_x_size = sub_x[1] - sub_x[0] + wl_pml / 2.0\n",
    "    sim_y_size = sub_y[1] - sub_y[0] + wl_pml / 2.0\n",
    "    sim_y_center = np.mean(sub_y)\n",
    "\n",
    "    sim_z_max = sub_z + 1.5 * wavelength0\n",
    "    sim_z_min = sub_z - 0.5 * wavelength0\n",
    "    sim_z_center = 0.5 * (sim_z_max + sim_z_min)\n",
    "    sim_z_size = sim_z_max - sim_z_min\n",
    "\n",
    "    # set a fine mesh for the corner refinement based on the center wavelength\n",
    "    dl = wavelength0 / 200.0\n",
    "    mesh_override_vertical_padding = 1 * mm\n",
    "\n",
    "    layer_refinement_ground = td.LayerRefinementSpec.from_structures(\n",
    "        axis=2, min_steps_along_axis=3, structures=[ground_plane]\n",
    "    )\n",
    "\n",
    "    layer_refinement_patch = td.LayerRefinementSpec(\n",
    "        center=(0, sim_y_center, sub_z / 2),\n",
    "        size=(td.inf, td.inf, mesh_override_vertical_padding),\n",
    "        axis=2,\n",
    "        min_steps_along_axis=3,\n",
    "        corner_refinement=td.GridRefinement(dl=dl, num_cells=3),\n",
    "    )\n",
    "\n",
    "    layer_refinement_substrate = td.LayerRefinementSpec.from_structures(\n",
    "        axis=2, structures=[substrate], min_steps_along_axis=3\n",
    "    )\n",
    "\n",
    "    # Truncate the computational domain by PMLs\n",
    "    boundary_spec = td.BoundarySpec(\n",
    "        x=td.Boundary.pml(),\n",
    "        y=td.Boundary.pml(),\n",
    "        z=td.Boundary.pml(),\n",
    "    )\n",
    "\n",
    "    # Create the simulation object\n",
    "    base_sim = td.Simulation(\n",
    "        center=[0.0, sim_y_center, sim_z_center],\n",
    "        size=[sim_x_size, sim_y_size, sim_z_size],\n",
    "        grid_spec=td.GridSpec.auto(\n",
    "            min_steps_per_wvl=20,  # largest cell size is set to 20 cells per smallest wavelength.\n",
    "            wavelength=td.C_0 / freq_stop,  # smallest wavelength to resolve\n",
    "            layer_refinement_specs=[\n",
    "                layer_refinement_ground,\n",
    "                layer_refinement_substrate,\n",
    "                layer_refinement_patch,\n",
    "            ],\n",
    "        ),\n",
    "        structures=structures_list,\n",
    "        sources=[],  # sources will be added by TerminalComponentModeler\n",
    "        monitors=[],\n",
    "        run_time=70 * (substrate.geometry.size[1] / td.C_0),\n",
    "        boundary_spec=boundary_spec,\n",
    "        plot_length_units=\"mm\",  # this option will make plots default to units of millimeters.\n",
    "    )\n",
    "\n",
    "    return base_sim"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In addition to the base simulation creation, we set up a function to add a feed line and PEC patches to a simulation object. Later, this will allow us to create an antenna with an arbitrary list of patches and insert it into our base simulation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_simulation_with_patches(base_sim, patch_boxes, monitors):\n",
    "    \"\"\"\n",
    "    Creates a new simulation from the base simulation that includes PEC patches for all of the Box\n",
    "    objects in patch_boxes as well as adds a feed line.\n",
    "    \"\"\"\n",
    "    patches = []\n",
    "    for patch_box in patch_boxes:\n",
    "        patches.append(td.Structure(geometry=patch_box, medium=PEC))\n",
    "\n",
    "    feed_geometry = td.Box.from_bounds(\n",
    "        [feed_offset - 0.5 * feed_x, -feed_y, sub_z / 2], [feed_offset + 0.5 * feed_x, 0, sub_z / 2]\n",
    "    )\n",
    "\n",
    "    feed = td.Structure(geometry=feed_geometry, medium=PEC)\n",
    "\n",
    "    return base_sim.updated_copy(\n",
    "        structures=list(base_sim.structures) + [feed] + patches,\n",
    "        monitors=list(base_sim.monitors) + monitors,\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, we set up a function to create a `LumpedPort` and `TerminalComponentModeler` that will generate the input excitation to the antenna. We can specify an impedance for the port as well as the desired frequencies for the resulting simulation. The `TerminalComponentModeler` will set up the simulations we need to evaluate and optimize the antenna."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_modeler(simulation, frequencies, radiation_monitors=(), port_impedance=50):\n",
    "    \"\"\"\n",
    "    Creates the LumpedPort and TerminalComponentModeler based on a `simulation`, the desired\n",
    "    simulation `frequencies`, `radiation_monitors` for computing directivity, and a `port_impedance`.\n",
    "    \"\"\"\n",
    "    # Setup a LumpedPort for the TerminalComponentModeler, which is needed\n",
    "    # to end the port with a matched load as well as providing a source for the simulation.\n",
    "    port = smatrix.LumpedPort(\n",
    "        center=[feed_offset, -feed_y, 0],\n",
    "        size=[feed_x, 0, sub_z],\n",
    "        voltage_axis=2,\n",
    "        name=\"lumped_port\",\n",
    "        impedance=port_impedance,\n",
    "    )\n",
    "\n",
    "    # We integrate the base simulation with the LumpedPort using the TerminalComponentModeler.\n",
    "    # This allows us to compute scattering parameters and extract any additional data needed from the simulation.\n",
    "    modeler = smatrix.TerminalComponentModeler(\n",
    "        simulation=simulation,\n",
    "        ports=[port],\n",
    "        freqs=frequencies,\n",
    "        remove_dc_component=False,  # include DC component for more accuracy at low frequencies\n",
    "        radiation_monitors=radiation_monitors,\n",
    "    )\n",
    "\n",
    "    return modeler"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup Plotting and Evaluation Functions\n",
    "\n",
    "Here, we set up some helper functions to aid in plotting antenna geometry and evaluating antenna characteristics before and after optimizations. First, we set up a function to plot the antenna structure and feed line along with the surrounding mesh. Near PEC edges, especially when computing gradients, we recommend using a fine mesh. In this function, we can also observe the location where the input source is fed into the antenna to confirm it is at the end of the feed line. **Note: the plotting functions below are useful for visualizations in this notebook, but their internals are not crucial to the understanding of how to set up and run gradient based RF optimizations in tidy3d. Feel free to skim this section and skip to the next section (\"Demonstrating Gradient Based Optimization of a Patch Antenna\") whenever you're ready.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_structures_and_mesh(patch_boxes):\n",
    "    \"\"\"Plots the antenna structure and surrounding mesh to ensure it looks as expected before running simulations.\"\"\"\n",
    "    base_sim = create_base_sim()\n",
    "\n",
    "    no_additional_monitors = []\n",
    "    sim_with_patches = create_simulation_with_patches(base_sim, patch_boxes, no_additional_monitors)\n",
    "\n",
    "    fig, ax = plt.subplots()\n",
    "\n",
    "    # examine the structure and mesh in the x-y plane\n",
    "    sim_with_patches.plot(\n",
    "        z=sub_z / 2,\n",
    "        ax=ax,\n",
    "        monitor_alpha=0.2,\n",
    "    )\n",
    "    sim_with_patches.plot_grid(z=sub_z / 2, ax=ax)\n",
    "\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Second, we set up a function that can calculate `S11` and realized antenna gain for each polarization. `S11` is the voltage reflection coefficient and $|S_{11}|^2$ is the power reflection coefficient or in other words, the reflected power divided by the input power. A good antenna will have a small `S11` at its operating frequencies. `S11` is plotted in dB and thus at resonance, we will see a large, negative value corresponding to low reflection. Before and after an optimization, this is one way to evaluate how well the optimization tuned the geometry for the correct frequencies. In the realized gain plot, we can see how efficiently energy is radiating from the antenna and in what direction when compared to an isotropic radiator. For simplicity and to keep plots less crowded, we collect the realized gain for the optimization frequencies while we compute `S11` value over a broad spectrum."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def evaluate_antenna(patch_params, eval_s_params_freqs):\n",
    "    \"\"\"\n",
    "    Evaluate the S11 parameter and realized gain in both polarizations for the given antenna geometry.\n",
    "    The S11 is calculated across a broad spectrum while the realized gain is only computed for the opt_freqs.\n",
    "    \"\"\"\n",
    "    patch_boxes = params_to_boxes(patch_params)\n",
    "\n",
    "    base_sim = create_base_sim()\n",
    "    no_additional_monitors = []\n",
    "    sim_with_patches = create_simulation_with_patches(base_sim, patch_boxes, no_additional_monitors)\n",
    "\n",
    "    monitor_directivity = td.DirectivityMonitor(\n",
    "        center=[directivity_center_x, directivity_center_y, 0],\n",
    "        size=(\n",
    "            directivity_size_x,\n",
    "            directivity_size_y,\n",
    "            4 * mm,\n",
    "        ),\n",
    "        freqs=opt_freqs,\n",
    "        name=\"directivity\",\n",
    "        phi=list(phi_directivity),\n",
    "        theta=list(theta_directivity),\n",
    "        far_field_approx=True,\n",
    "    )\n",
    "\n",
    "    # we only need whatever frequencies are unique in these two lists to have all the data we need for computing\n",
    "    # S11 and gain\n",
    "    eval_freqs = np.unique(list(eval_s_params_freqs) + list(opt_freqs))\n",
    "\n",
    "    modeler = create_modeler(sim_with_patches, eval_freqs, radiation_monitors=[monitor_directivity])\n",
    "    smatrix_data = run(modeler, task_name=\"smatrix\", verbose=False)\n",
    "\n",
    "    antenna_parameters_freq = smatrix_data.get_antenna_metrics_data(monitor_name=\"directivity\")\n",
    "    partial_realized_gain = antenna_parameters_freq.partial_realized_gain(pol_basis=\"linear\")\n",
    "\n",
    "    return smatrix_data, partial_realized_gain"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Given the optimization results, we can plot the comparison of two antenna simulations using the `plot_antenna_comparison` function below. We can easily compare the initial and final optimization states to see how well the resulting antenna is performing in our desired metrics. During the optimization, we will also periodically save the `S11` and gain of the antenna. The function `plot_antenna_evolution` allows us to plot these metrics out so we can see how performance evolved over the course of the optimization."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_antenna_comparison(\n",
    "    s_matrix_list,\n",
    "    sim_data_list,\n",
    "    partial_realized_gain_list,\n",
    "    plot_phi,\n",
    "    plot_title=\"Antenna Simulation Comparison\",\n",
    "    sim_names=None,\n",
    "    single_color_gain_plots=False,\n",
    "    savefig_fname=None,\n",
    "):\n",
    "    \"\"\"\n",
    "    Plots a comparison of two sets of simulation data.\n",
    "\n",
    "    Args:\n",
    "        s_matrix_list: List of S-matrix objects [s_matrix_sim1, s_matrix_sim2].\n",
    "        sim_data_list: List of sim_data objects [sim_data_sim1, sim_data_sim2],\n",
    "                       where each sim_data contains a \"radiation\" DirectivityMonitor output.\n",
    "        partial_realized_gain_list: List of realized gain in linear polarization for each simulation.\n",
    "        plot_phi: The phi value to select in the realized gain data for plotting.\n",
    "        plot_title: Optional title to specify for plot (default is \"Antenna Simulation Comparison\").\n",
    "        sim_names: Optional list of names for simulations for clearer legends.\n",
    "        single_color_gain_plots: Optional choice to use a single color for all the frequencies\n",
    "                                 in the gain plot (True) or have each frequency a different\n",
    "                                 color (False). Default is False.\n",
    "        savefig_fname: An optional filename to save the resulting figure\n",
    "    \"\"\"\n",
    "\n",
    "    num_simulations = len(s_matrix_list)\n",
    "    if num_simulations != 2 or len(sim_data_list) != 2:\n",
    "        print(\"Warning: This function is designed to compare exactly two simulations.\")\n",
    "\n",
    "    alphas = [0.5, 1.0]  # Alpha for sim1, sim2\n",
    "    if sim_names is None or len(sim_names) != num_simulations:\n",
    "        sim_names = [f\"Sim {i + 1}\" for i in range(num_simulations)]\n",
    "\n",
    "    grid_spec_cols = 3  # S11 and realized gain for each polarization side-by-side\n",
    "    fig_width = grid_spec_cols * 4.5\n",
    "    fig_height = 6.5\n",
    "\n",
    "    num_rows = 1\n",
    "\n",
    "    fig = plt.figure(figsize=(fig_width, fig_height), constrained_layout=True)\n",
    "    gs = fig.add_gridspec(num_rows, grid_spec_cols)\n",
    "    axs_list = []\n",
    "\n",
    "    # plot the S11 parameter comparison for each simulation\n",
    "    ax_s11 = fig.add_subplot(gs[0, 0])\n",
    "    axs_list.append(ax_s11)\n",
    "    ax_s11.set_title(\"$S_{11}$ Coefficient\")\n",
    "    ax_s11.set_xlabel(\"Frequency (GHz)\")\n",
    "    ax_s11.set_ylabel(\"$|S_{11}|^2$ (dB)\")\n",
    "\n",
    "    for sim_idx in range(num_simulations):\n",
    "        s_matrix = s_matrix_list[sim_idx]\n",
    "        current_alpha = alphas[sim_idx]\n",
    "        sim_label_name = sim_names[sim_idx]\n",
    "\n",
    "        s11_freqs_ghz = s_matrix.data.coords[\"f\"] / 1e9\n",
    "        s11_data_selection = s_matrix.data.isel(port_out=0, port_in=0)\n",
    "\n",
    "        s11_values_flat = s11_data_selection.values.flatten()\n",
    "        s11_values_db = 20 * np.log10(np.abs(s11_values_flat))\n",
    "        ax_s11.plot(\n",
    "            s11_freqs_ghz,\n",
    "            s11_values_db,\n",
    "            alpha=current_alpha,\n",
    "            label=f\"{sim_label_name})\",\n",
    "        )\n",
    "\n",
    "    for opt_freq in opt_freqs:\n",
    "        ax_s11.axvline(x=opt_freq / 1e9, color=\"k\", linestyle=\"--\")\n",
    "\n",
    "    ax_s11.set_ylim(-25, 2)\n",
    "    ax_s11.grid(True)\n",
    "    ax_s11.legend()\n",
    "\n",
    "    # for each linear polarization component, plot the realized gain for each linear polarization\n",
    "    polarization_components = [\"Gtheta\", \"Gphi\"]\n",
    "\n",
    "    for pol_idx, pol_component in enumerate(polarization_components):\n",
    "        ax_polar = fig.add_subplot(gs[0, 1 + pol_idx], projection=\"polar\")\n",
    "        axs_list.append(ax_polar)\n",
    "        ax_polar.set_title(f\"Realized Gain for {pol_component}\")\n",
    "\n",
    "        ax_polar.set_theta_direction(-1)\n",
    "        ax_polar.set_theta_offset(np.pi / 2.0)\n",
    "        ax_polar.grid(True)\n",
    "        ax_polar.set_rlabel_position(22.5)\n",
    "\n",
    "        overall_max_gain = -np.inf\n",
    "        color_cycle = plt.rcParams[\"axes.prop_cycle\"].by_key()[\"color\"]\n",
    "\n",
    "        for freq_idx, eval_freq in enumerate(opt_freqs):\n",
    "            base_color = color_cycle[freq_idx % len(color_cycle)]\n",
    "            if single_color_gain_plots:\n",
    "                base_color = color_cycle[0]\n",
    "            freq_label_for_legend = f\"{eval_freq / 1e9:.2f} GHz\"\n",
    "\n",
    "            # Plot data for each simulation for the current frequency\n",
    "            for sim_idx in range(num_simulations):\n",
    "                current_alpha = alphas[sim_idx]\n",
    "\n",
    "                if single_color_gain_plots:\n",
    "                    base_color = color_cycle[sim_idx]\n",
    "\n",
    "                realized_gain_data = partial_realized_gain_list[sim_idx][pol_component].sel(\n",
    "                    f=eval_freq, phi=plot_phi, method=\"nearest\"\n",
    "                )\n",
    "\n",
    "                gain_values_for_plot = realized_gain_data.squeeze().values\n",
    "\n",
    "                current_max_val = np.max(gain_values_for_plot)\n",
    "                if current_max_val > overall_max_gain:\n",
    "                    overall_max_gain = current_max_val\n",
    "\n",
    "                # Label only the second simulation's line (alpha=1.0) for the legend entry of this frequency\n",
    "                label_to_use = f\"{freq_label_for_legend} ({sim_names[sim_idx]})\"\n",
    "                ax_polar.plot(\n",
    "                    theta_directivity,\n",
    "                    gain_values_for_plot,\n",
    "                    color=base_color,\n",
    "                    alpha=current_alpha,\n",
    "                    label=label_to_use,\n",
    "                )\n",
    "\n",
    "        ax_polar.set_rlim(0, overall_max_gain * 1.1 if overall_max_gain > 0 else 1.0)\n",
    "        ax_polar.legend(title=\"Frequency (GHz)\", loc=\"best\", fontsize=\"small\")\n",
    "\n",
    "    fig.suptitle(plot_title, fontsize=16)\n",
    "\n",
    "    if savefig_fname:\n",
    "        plt.savefig(savefig_fname)\n",
    "\n",
    "    plt.show()\n",
    "\n",
    "\n",
    "def plot_antenna_evolution(s11_sq_dB, s11_f, partial_realized_gain, gain_freqs):\n",
    "    \"\"\"Plots the evolution of the antenna S11 and and realized gain throughout an optimization.\n",
    "    Args:\n",
    "        s11_sq_dB: List of |S11|^2 (in dB) at each point in optimization. The length should match the\n",
    "                   length of `partial_realized_gain`\n",
    "        s11_f: Frequencies for each S11 array\n",
    "        partial_realized_gain: List of realized gain objects broken into linear polarization. The length\n",
    "                               of this list should match the length of `s11_sq_dB`\n",
    "        gain_freqs: List of frequencies for each realized gain object.\n",
    "    \"\"\"\n",
    "    num_lines = len(s11_sq_dB)\n",
    "\n",
    "    alphas = np.linspace(0.25, 1.0, num_lines)\n",
    "\n",
    "    fig_width = 13.5\n",
    "    fig_height = 6.5\n",
    "\n",
    "    fig = plt.figure(figsize=(fig_width, fig_height), constrained_layout=True)\n",
    "    num_rows = 1\n",
    "    grid_spec_cols = 3\n",
    "    gs = fig.add_gridspec(num_rows, grid_spec_cols)\n",
    "    axs_list = []\n",
    "\n",
    "    ax_s11 = fig.add_subplot(gs[0, 0])\n",
    "    axs_list.append(ax_s11)\n",
    "    ax_s11.set_title(\"$S_{11}$ Coefficient\")\n",
    "    ax_s11.set_xlabel(\"Frequency (GHz)\")\n",
    "    ax_s11.set_ylabel(\"$|S_{11}|^2$ (dB)\")\n",
    "\n",
    "    color_cycle = plt.rcParams[\"axes.prop_cycle\"].by_key()[\"color\"]\n",
    "\n",
    "    for idx in range(0, num_lines):\n",
    "        ax_s11.plot(s11_f, s11_sq_dB[idx], color=color_cycle[0], linewidth=1.5, alpha=alphas[idx])\n",
    "\n",
    "    ax_s11.set_ylim(-25, 2)\n",
    "    ax_s11.grid(True)\n",
    "\n",
    "    def add_polar_sequence(grid_col, pol_component, title):\n",
    "        ax_polar = fig.add_subplot(gs[0, grid_col], projection=\"polar\")\n",
    "        axs_list.append(ax_polar)\n",
    "        ax_polar.set_title(f\"Realized Gain for {pol_component}\")\n",
    "\n",
    "        ax_polar.set_theta_direction(-1)\n",
    "        ax_polar.set_theta_offset(np.pi / 2.0)\n",
    "        ax_polar.grid(True)\n",
    "        ax_polar.set_rlabel_position(22.5)\n",
    "\n",
    "        for idx in range(0, num_lines):\n",
    "            partial_realized_gain_batch = partial_realized_gain[idx][pol_component]\n",
    "            partial_realized_gain_batch = np.reshape(\n",
    "                partial_realized_gain_batch, (len(gain_freqs), len(theta_directivity))\n",
    "            )\n",
    "\n",
    "            for freq_idx in range(0, len(gain_freqs)):\n",
    "                gain_values_for_plot = partial_realized_gain_batch[freq_idx]\n",
    "\n",
    "                ax_polar.plot(\n",
    "                    theta_directivity,\n",
    "                    gain_values_for_plot,\n",
    "                    color=color_cycle[freq_idx],\n",
    "                    alpha=alphas[idx],\n",
    "                )\n",
    "\n",
    "            ax_polar.set_title(title)\n",
    "\n",
    "    add_polar_sequence(1, \"Gtheta\", \"Realized Gain\\n(Gtheta), phi=0\")\n",
    "    add_polar_sequence(2, \"Gphi\", \"Realized Gain\\n(Gphi), phi=0\")\n",
    "\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We set up a function to plot the figure of merit trajectory of the optimization and compare the initial and final antenna geometries. This is an indication of how well the optimization worked as well as a demonstration of the overall change that occurred over the course of the optimization."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_optimization_results(\n",
    "    figure_of_merit, feed_rect, init_rectangles, final_rectangles, savefig_fname=None\n",
    "):\n",
    "    \"\"\"\n",
    "    Plots a main rectangle and two lists of other rectangles with specified styles.\n",
    "\n",
    "    Args:\n",
    "        figure_of_merit: Figure of merit for each iteration during the optimization.\n",
    "        feed_rect: The rectangular corresponding to the feed line.\n",
    "        init_rectangles: A list of rectangles corresponding to the initial state\n",
    "                         of the optimization.\n",
    "        final_rectangles: A list of rectangles corresponding to the final condition\n",
    "                         of the optimization.\n",
    "        savefig_fname: Optional filename to save the resulting figure.\n",
    "\n",
    "    \"\"\"\n",
    "    fig, ax = plt.subplots(1, 2)\n",
    "    ax[1].set_aspect(\"equal\", adjustable=\"box\")\n",
    "\n",
    "    all_rects_params = []  # to store (x_bl, y_bl, width, height) for limit calculation\n",
    "\n",
    "    # helper function to add a rectangle and collect its parameters\n",
    "    def add_rectangle_to_plot(\n",
    "        rect_obj, facecolor, alpha=1.0, edgecolor=\"black\", linestyle=\"solid\", legend=None\n",
    "    ):\n",
    "        \"\"\"\n",
    "        Adds a single rectangle to the plot and collects its parameters.\n",
    "\n",
    "        Args:\n",
    "            rect_obj: The rectangle object with 'center' and 'size'.\n",
    "            facecolor: The face color of the rectangle.\n",
    "            alpha: Optional transparency of the rectangle.\n",
    "            edgecolor: Optional edge color of the rectangle.\n",
    "            linestyle: Optional line style of the rectangle's border.\n",
    "            legend: Optional legend entry to use for this rectangle.\n",
    "        \"\"\"\n",
    "        center_x, center_y, _ = (coord / mm for coord in rect_obj.center)\n",
    "        width, height, _ = (sz / mm for sz in rect_obj.size)\n",
    "\n",
    "        # Calculate bottom-left corner coordinates\n",
    "        bottom_left_x = center_x - width / 2\n",
    "        bottom_left_y = center_y - height / 2\n",
    "\n",
    "        all_rects_params.append((bottom_left_x, bottom_left_y, width, height))\n",
    "\n",
    "        rect_patch = patches.Rectangle(\n",
    "            (bottom_left_x, bottom_left_y),\n",
    "            width,\n",
    "            height,\n",
    "            facecolor=facecolor,\n",
    "            alpha=alpha,\n",
    "            edgecolor=edgecolor,\n",
    "            linestyle=linestyle,\n",
    "            linewidth=1,  # Default linewidth for borders\n",
    "            label=legend,\n",
    "        )\n",
    "        ax[1].add_patch(rect_patch)\n",
    "\n",
    "    add_rectangle_to_plot(feed_rect, facecolor=\"gold\", edgecolor=\"black\")\n",
    "\n",
    "    legends_init_rect = [\n",
    "        \"initial\" if (idx == 0) else None for idx in range(0, len(init_rectangles))\n",
    "    ]\n",
    "    legends_final_rect = [\n",
    "        \"final\" if (idx == 0) else None for idx in range(0, len(final_rectangles))\n",
    "    ]\n",
    "\n",
    "    # plot rectangles from the second list (gold)\n",
    "    for idx, rect_obj in enumerate(final_rectangles):\n",
    "        add_rectangle_to_plot(\n",
    "            rect_obj, facecolor=\"gold\", edgecolor=\"black\", legend=legends_final_rect[idx]\n",
    "        )  # Added black edge for consistency\n",
    "\n",
    "    # plot rectangles from the first list (gray, 0.25 alpha, dotted black border)\n",
    "    for idx, rect_obj in enumerate(init_rectangles):\n",
    "        add_rectangle_to_plot(\n",
    "            rect_obj,\n",
    "            facecolor=\"gray\",\n",
    "            alpha=0.25,\n",
    "            edgecolor=\"black\",\n",
    "            linestyle=\"dotted\",\n",
    "            legend=legends_init_rect[idx],\n",
    "        )\n",
    "\n",
    "    # calculate plot limits\n",
    "    if all_rects_params:\n",
    "        min_x = min(p[0] for p in all_rects_params)\n",
    "        min_y = min(p[1] for p in all_rects_params)\n",
    "        max_x = max(p[0] + p[2] for p in all_rects_params)  # max x is bottom_left_x + width\n",
    "        max_y = max(p[1] + p[3] for p in all_rects_params)  # max y is bottom_left_y + height\n",
    "\n",
    "        # add some padding to the limits\n",
    "        padding_x = (max_x - min_x) * 0.1 if (max_x - min_x) > 0 else 1\n",
    "        padding_y = (max_y - min_y) * 0.1 if (max_y - min_y) > 0 else 1\n",
    "\n",
    "        ax[1].set_xlim(min_x - padding_x, max_x + padding_x)\n",
    "        ax[1].set_ylim(min_y - padding_y, max_y + padding_y)\n",
    "    else:\n",
    "        # default limits if no rectangles are plotted\n",
    "        ax[1].set_xlim(-5, 5)\n",
    "        ax[1].set_ylim(-5, 5)\n",
    "\n",
    "    ax[1].set_title(\"Antenna Geometry\")\n",
    "    ax[1].set_xlabel(\"X-coordinate (mm)\")\n",
    "    ax[1].set_ylabel(\"Y-coordinate (mm)\")\n",
    "    ax[1].grid(True, linestyle=\"--\", alpha=0.7)\n",
    "\n",
    "    ax[1].legend(loc=\"lower left\", bbox_to_anchor=(1.0, 0.75))\n",
    "\n",
    "    ax[0].plot(figure_of_merit, color=\"green\", linewidth=2)\n",
    "    ax[0].set_title(\"Optimization\")\n",
    "    ax[0].set_xlabel(\"Iteration\")\n",
    "    ax[0].set_ylabel(\"Figure of Merit\")\n",
    "\n",
    "    if savefig_fname:\n",
    "        plt.savefig(savefig_fname)\n",
    "\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Demonstrating Gradient Based Optimization of a Patch Antenna\n",
    "\n",
    "In our optimization, we use the adjoint gradients to tune the width and height of a single patch antenna element. As a first step, we create an objective function that takes in parameters defining the antenna geometry which correspond to `Box` geometries that can be imported into the simulation. After adding the source via the `TerminalComponentModeler`, the objective runs a simulation and we compute the `S11` spectrum and flux into a band of angles above the antenna. `S11` is a measure of how much energy is reflected and the radiated flux over a set of angles gives us a good figure of merit for directivity. We optimize the antenna to direct the radiated power at 0 degrees, directly outward from the antenna plane. The two figures are combined together into one by computing reflection efficiency as $1 - |S_{11}|^2$ and multiplying by the sum of the flux over a narrow band of angles around 0 degrees normalized by the initial flux in each of these angles, which is specified through `poynting_flux_initial`. The `objective_fn` uses the helper function `compute_poynting_and_s11` to compute these metrics.\n",
    "\n",
    "\n",
    "<div style=\"display: flex; gap: 10px;\">\n",
    "    <img src=\"img/antenna_figure_of_merit.png\" style=\"height: 350px; object-fit: contain;\" />\n",
    "</div>\n",
    "\n",
    "Below, we show the functional flow for computing the objective function below and where automatic differentiation comes into the picture. By plugging into the `autograd` library with tidy3d, we can compute the gradient function for our objective function. In each iteration of the optimization, we use this function to calculate the gradient of the objective with respect to the antenna patch parameters. Using this gradient, the parameters are updated to improve the objective function value. This process continues in our case for a fixed number of iterations but can also be done until convergence or some other criteria are met.\n",
    "\n",
    "<div style=\"display: flex; gap: 10px;\">\n",
    "    <img src=\"img/pec_optimization_workflow.png\" style=\"height: 600px; object-fit: contain;\" />\n",
    "</div>\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "def compute_poynting_and_s11(\n",
    "    patch_params,\n",
    "    log_simulation_cost=False,\n",
    "):\n",
    "    \"\"\"\n",
    "    Computes the Poynting flux for an antenna. The antenna parameters are specified in and\n",
    "    `patch_params` are converted these parameters to simulation objects. These objects are inserted\n",
    "    into a base simulation. After setup, the antenna simulation is run to compute the `S11` and the\n",
    "    Poynting flux considering just the angular components in the `FieldProjectionAngleMonitor`.\n",
    "    \"\"\"\n",
    "    base_sim = create_base_sim()\n",
    "\n",
    "    # set up monitor that will be used as a data source for far field projection\n",
    "    monitor_radiation = td.FieldMonitor(\n",
    "        center=[directivity_center_x, directivity_center_y, 0.5 * sub_z + 5 * mm],\n",
    "        size=(directivity_size_x, directivity_size_y, 0.0),\n",
    "        freqs=opt_freqs,\n",
    "        name=\"radiation\",\n",
    "        colocate=False,\n",
    "    )\n",
    "    # set up monitor that will be used to project radiation to the far field so we can\n",
    "    # optimize for directivity\n",
    "    monitor_far_field = td.FieldProjectionAngleMonitor(\n",
    "        center=[directivity_center_x, directivity_center_y, 0.5 * sub_z + 5 * mm],\n",
    "        size=(directivity_size_x, directivity_size_y, 0.0),\n",
    "        freqs=opt_freqs,\n",
    "        name=\"far_field\",\n",
    "        phi=phi_opt,\n",
    "        theta=theta_opt,\n",
    "        far_field_approx=True,\n",
    "        proj_distance=50 * wavelength0,  # project far away form antenna\n",
    "    )\n",
    "\n",
    "    antenna_monitors = [monitor_radiation, monitor_far_field]\n",
    "\n",
    "    # Add antenna patches to simulation\n",
    "    sim_with_patches = create_simulation_with_patches(\n",
    "        base_sim, params_to_boxes(patch_params), antenna_monitors\n",
    "    )\n",
    "\n",
    "    # Create the `TerminalComponentModeler` to add the source and get the simulation we can run\n",
    "    # to evaluate the antenna performance\n",
    "    modeler_freqs = sorted(set(list(opt_sim_freqs) + list(opt_freqs)))\n",
    "\n",
    "    modeler = create_modeler(\n",
    "        sim_with_patches,\n",
    "        modeler_freqs,\n",
    "    )\n",
    "\n",
    "    # Run the simulations for the antenna\n",
    "    if log_simulation_cost:\n",
    "        job = td.web.Job(simulation=modeler, task_name=\"smatrix\", verbose=False)\n",
    "        smatrix_data = job.run()\n",
    "        cost = td.web.real_cost(job.task_id)\n",
    "        console.print(\n",
    "            f\"The antenna cost [bold yellow]{cost:.3f}[/bold yellow] FlexCredits to run. \"\n",
    "            f\"Each iteration of the optimization will cost around \"\n",
    "            f\"[bold cyan]{2 * cost:.3f}[/bold cyan] FlexCredits to complete.\"\n",
    "        )\n",
    "    else:\n",
    "        smatrix_data = run(modeler, task_name=\"smatrix\", verbose=False, local_gradient=False)\n",
    "\n",
    "    # Set up a `FieldProjector` based on the 'radiation' monitor near the patch\n",
    "    projector = td.FieldProjector.from_near_field_monitors(\n",
    "        sim_data=smatrix_data.data[\"lumped_port\"],\n",
    "        near_monitors=[monitor_radiation],\n",
    "        normal_dirs=[\"+\"],  # we are projecting along the +z direction\n",
    "    )\n",
    "    # Project this near field into the subset of far field components\n",
    "    # specified by the 'far_field' monitor\n",
    "    radiation_data = projector.project_fields(monitor_far_field)\n",
    "    poynting_flux = np.abs(\n",
    "        np.real(\n",
    "            0.5\n",
    "            * (\n",
    "                radiation_data.Etheta * np.conj(radiation_data.Hphi)\n",
    "                - radiation_data.Ephi * np.conj(radiation_data.Htheta)\n",
    "            )\n",
    "        )\n",
    "    )\n",
    "\n",
    "    return poynting_flux, smatrix_data.smatrix()\n",
    "\n",
    "\n",
    "def objective_fn(patch_params, poynting_flux_initial):\n",
    "    \"\"\"\n",
    "    Objective function for an antenna optimization that computes a product of the reflection\n",
    "    efficiency and the increased flux in a set of optimization angles compared to the initial design.\n",
    "    \"\"\"\n",
    "\n",
    "    def weights_from_merit(merit):\n",
    "        \"\"\"\n",
    "        Computes performance based weights that sum to a total weight of 1.\n",
    "        For a given frequency, the weights are inversely tied to the performance\n",
    "        so that figures of merit that are lagging get favored more than those that\n",
    "        are leading.\n",
    "        \"\"\"\n",
    "        weights = (2.0 / len(merit)) - (merit**2 / anp.sum(merit**2))\n",
    "        clip_weights = anp.maximum(weights, 0.0)\n",
    "\n",
    "        inv_weights = 1.0 / anp.sum(clip_weights)\n",
    "        renorm_weights = clip_weights * inv_weights\n",
    "\n",
    "        return renorm_weights\n",
    "\n",
    "    poynting_flux, smatrix = compute_poynting_and_s11(patch_params)\n",
    "\n",
    "    fom_by_freq = []\n",
    "    for freq in opt_freqs:\n",
    "        directivity_metric = np.sum(poynting_flux.sel(f=freq).data) / np.sum(\n",
    "            poynting_flux_initial.sel(f=freq).data\n",
    "        )\n",
    "\n",
    "        s11 = np.abs(smatrix.data.isel(port_out=0, port_in=0).sel(f=freq).data)\n",
    "\n",
    "        fom = (1 - np.abs(s11) ** 2) * directivity_metric\n",
    "        fom_by_freq.append(fom)\n",
    "\n",
    "    fom_by_freq = anp.array(fom_by_freq)\n",
    "\n",
    "    if len(fom_by_freq) > 1:\n",
    "        weights = weights_from_merit(fom_by_freq)  # dynamic optimization weights\n",
    "        return anp.sum(weights * fom_by_freq)\n",
    "    else:\n",
    "        return anp.sum(fom_by_freq)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We create a helper function to convert the patch width and height parameters to the antenna geometry for a single patch. To check our setup, we plot what the resulting antenna will look like when inserted into a simulation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def params_to_boxes(patch_params):\n",
    "    \"\"\"Convert single patch parameters into patch geometry.\"\"\"\n",
    "    patch_wh = patch_params[0:2]\n",
    "    main_patch = td.Box.from_bounds(\n",
    "        [-0.5 * patch_wh[0], 0.0, sub_z / 2.0], [0.5 * patch_wh[0], patch_wh[1], sub_z / 2.0]\n",
    "    )\n",
    "    return [main_patch]\n",
    "\n",
    "\n",
    "# set an initial width and height for the patch\n",
    "patch_init_width = 12.45 * mm\n",
    "patch_init_height = 16 * mm\n",
    "patch_init_wh = anp.array([patch_init_width, patch_init_height])\n",
    "\n",
    "# set the min/max for the patch width and height to use to bound these parameters in the optimization\n",
    "patch_min_width = 8 * mm\n",
    "patch_min_height = 8 * mm\n",
    "\n",
    "patch_max_width = 18 * mm\n",
    "patch_max_height = 24 * mm\n",
    "\n",
    "# plot the patch and mesh of the initial structure to visually inspect geometry before starting optimization\n",
    "plot_structures_and_mesh(params_to_boxes(patch_init_wh))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we set up the optimization. We create the monitors to capture the far field radiation and solve for the initial flux into the target radiation angular components. Then, we configure the optimizer which we can also load from a saved checkpoint by toggling the `restart_optimization` flag if we get interrupted in the middle. When computing the initial values of `S11` and the radiated flux, we log the simulation cost to give an idea of how many FlexCredits it costs run. During the optimization loop, each iteration we compute the gradient, which requires two simulations. The cost per iteration will thus be double that of a single simulation except for the occasional iteration where we save additional simulation data for evaluation after the optimization. On those iterations, the cost will be 3x the single simulation cost. To reduce the number of the full evaluations, you can increase `full_eval_period`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">17:40:35 EST </span>Billed flex credit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>.                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m17:40:35 EST\u001b[0m\u001b[2;36m \u001b[0mBilled flex credit cost: \u001b[1;36m0.025\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\">The antenna cost <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">0.025</span> FlexCredits to run. Each iteration of the optimization will cost around <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.050</span> FlexCredits to\n",
       "complete.\n",
       "</pre>\n"
      ],
      "text/plain": [
       "The antenna cost \u001b[1;33m0.025\u001b[0m FlexCredits to run. Each iteration of the optimization will cost around \u001b[1;36m0.050\u001b[0m FlexCredits to\n",
       "complete.\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Turn the logging level to only show errors to not crowd the optimization output with repeated warnings\n",
    "td.config.logging_level = \"ERROR\"\n",
    "\n",
    "# whether or not to restart the optimization from the current saved checkpoint\n",
    "restart_optimization = False\n",
    "restart_fname = \"misc/rf_autograd_1_patch_opt_state.pkl\"\n",
    "\n",
    "# set up the single patch radiation monitor sizes\n",
    "obj_fn_monitor_dim = 1.25 * np.mean(patch_init_wh)\n",
    "obj_fn_monitor_center_y = 0.5 * patch_init_wh[1]\n",
    "\n",
    "# compute initial poynting flux to be used in the objective function\n",
    "initial_poynting_flux, initial_s11 = compute_poynting_and_s11(\n",
    "    patch_init_wh, log_simulation_cost=True\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, we run the optimization and capture the figure of merit, `S11`, and gain metrics along the way."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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: #008080; text-decoration-color: #008080; font-weight: bold\">Iteration 1</span>\n",
       "        Params (width, height) (mm): <span style=\"color: #000080; text-decoration-color: #000080\">12.42, 15.97</span>\n",
       "<span style=\"font-weight: bold\">        Figure of merit:          </span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">0.11</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1;36mIteration 1\u001b[0m\n",
       "        Params (width, height) (mm): \u001b[34m12.42, 15.97\u001b[0m\n",
       "\u001b[1m        \u001b[0m\u001b[1mFigure of merit:          \u001b[0m\u001b[1;32m0.11\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: #008080; text-decoration-color: #008080; font-weight: bold\">Iteration 6</span>\n",
       "        Params (width, height) (mm): <span style=\"color: #000080; text-decoration-color: #000080\">12.27, 15.82</span>\n",
       "<span style=\"font-weight: bold\">        Figure of merit:          </span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">0.13</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1;36mIteration 6\u001b[0m\n",
       "        Params (width, height) (mm): \u001b[34m12.27, 15.82\u001b[0m\n",
       "\u001b[1m        \u001b[0m\u001b[1mFigure of merit:          \u001b[0m\u001b[1;32m0.13\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: #008080; text-decoration-color: #008080; font-weight: bold\">Iteration 11</span>\n",
       "        Params (width, height) (mm): <span style=\"color: #000080; text-decoration-color: #000080\">12.10, 15.66</span>\n",
       "<span style=\"font-weight: bold\">        Figure of merit:          </span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">0.17</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1;36mIteration 11\u001b[0m\n",
       "        Params (width, height) (mm): \u001b[34m12.10, 15.66\u001b[0m\n",
       "\u001b[1m        \u001b[0m\u001b[1mFigure of merit:          \u001b[0m\u001b[1;32m0.17\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: #008080; text-decoration-color: #008080; font-weight: bold\">Iteration 16</span>\n",
       "        Params (width, height) (mm): <span style=\"color: #000080; text-decoration-color: #000080\">11.92, 15.48</span>\n",
       "<span style=\"font-weight: bold\">        Figure of merit:          </span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">0.23</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1;36mIteration 16\u001b[0m\n",
       "        Params (width, height) (mm): \u001b[34m11.92, 15.48\u001b[0m\n",
       "\u001b[1m        \u001b[0m\u001b[1mFigure of merit:          \u001b[0m\u001b[1;32m0.23\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: #008080; text-decoration-color: #008080; font-weight: bold\">Iteration 21</span>\n",
       "        Params (width, height) (mm): <span style=\"color: #000080; text-decoration-color: #000080\">11.71, 15.28</span>\n",
       "<span style=\"font-weight: bold\">        Figure of merit:          </span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">0.36</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1;36mIteration 21\u001b[0m\n",
       "        Params (width, height) (mm): \u001b[34m11.71, 15.28\u001b[0m\n",
       "\u001b[1m        \u001b[0m\u001b[1mFigure of merit:          \u001b[0m\u001b[1;32m0.36\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: #008080; text-decoration-color: #008080; font-weight: bold\">Iteration 26</span>\n",
       "        Params (width, height) (mm): <span style=\"color: #000080; text-decoration-color: #000080\">11.48, 15.06</span>\n",
       "<span style=\"font-weight: bold\">        Figure of merit:          </span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">0.67</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1;36mIteration 26\u001b[0m\n",
       "        Params (width, height) (mm): \u001b[34m11.48, 15.06\u001b[0m\n",
       "\u001b[1m        \u001b[0m\u001b[1mFigure of merit:          \u001b[0m\u001b[1;32m0.67\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: #008080; text-decoration-color: #008080; font-weight: bold\">Iteration 31</span>\n",
       "        Params (width, height) (mm): <span style=\"color: #000080; text-decoration-color: #000080\">11.21, 14.80</span>\n",
       "<span style=\"font-weight: bold\">        Figure of merit:          </span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">1.65</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1;36mIteration 31\u001b[0m\n",
       "        Params (width, height) (mm): \u001b[34m11.21, 14.80\u001b[0m\n",
       "\u001b[1m        \u001b[0m\u001b[1mFigure of merit:          \u001b[0m\u001b[1;32m1.65\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: #008080; text-decoration-color: #008080; font-weight: bold\">Iteration 36</span>\n",
       "        Params (width, height) (mm): <span style=\"color: #000080; text-decoration-color: #000080\">10.92, 14.51</span>\n",
       "<span style=\"font-weight: bold\">        Figure of merit:          </span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">5.78</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1;36mIteration 36\u001b[0m\n",
       "        Params (width, height) (mm): \u001b[34m10.92, 14.51\u001b[0m\n",
       "\u001b[1m        \u001b[0m\u001b[1mFigure of merit:          \u001b[0m\u001b[1;32m5.78\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: #008080; text-decoration-color: #008080; font-weight: bold\">Iteration 41</span>\n",
       "        Params (width, height) (mm): <span style=\"color: #000080; text-decoration-color: #000080\">10.62, 14.20</span>\n",
       "<span style=\"font-weight: bold\">        Figure of merit:          </span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">18.95</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1;36mIteration 41\u001b[0m\n",
       "        Params (width, height) (mm): \u001b[34m10.62, 14.20\u001b[0m\n",
       "\u001b[1m        \u001b[0m\u001b[1mFigure of merit:          \u001b[0m\u001b[1;32m18.95\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: #008080; text-decoration-color: #008080; font-weight: bold\">Iteration 46</span>\n",
       "        Params (width, height) (mm): <span style=\"color: #000080; text-decoration-color: #000080\">10.50, 14.07</span>\n",
       "<span style=\"font-weight: bold\">        Figure of merit:          </span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">19.34</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1;36mIteration 46\u001b[0m\n",
       "        Params (width, height) (mm): \u001b[34m10.50, 14.07\u001b[0m\n",
       "\u001b[1m        \u001b[0m\u001b[1mFigure of merit:          \u001b[0m\u001b[1;32m19.34\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: #008080; text-decoration-color: #008080; font-weight: bold\">Iteration 51</span>\n",
       "        Params (width, height) (mm): <span style=\"color: #000080; text-decoration-color: #000080\">10.60, 14.12</span>\n",
       "<span style=\"font-weight: bold\">        Figure of merit:          </span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">20.82</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1;36mIteration 51\u001b[0m\n",
       "        Params (width, height) (mm): \u001b[34m10.60, 14.12\u001b[0m\n",
       "\u001b[1m        \u001b[0m\u001b[1mFigure of merit:          \u001b[0m\u001b[1;32m20.82\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: #008080; text-decoration-color: #008080; font-weight: bold\">Iteration 56</span>\n",
       "        Params (width, height) (mm): <span style=\"color: #000080; text-decoration-color: #000080\">10.61, 14.10</span>\n",
       "<span style=\"font-weight: bold\">        Figure of merit:          </span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">20.60</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1;36mIteration 56\u001b[0m\n",
       "        Params (width, height) (mm): \u001b[34m10.61, 14.10\u001b[0m\n",
       "\u001b[1m        \u001b[0m\u001b[1mFigure of merit:          \u001b[0m\u001b[1;32m20.60\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Set up the objective function for the single patch that is a function\n",
    "# of the patch width and height. Using autograd, we can find the gradient\n",
    "# of the objective function with respect to the first argument, which contains\n",
    "# the (width, height) parameters describing the rectangular patch.\n",
    "obj_val_and_grad = value_and_grad(objective_fn, argnum=[0])\n",
    "patch_wh = patch_init_wh.copy()\n",
    "\n",
    "# Set up optimization parameters and optimizer\n",
    "learning_rate = 30\n",
    "optimizer = optax.adam(learning_rate=learning_rate, b1=0.8)\n",
    "opt_state = optimizer.init(patch_wh)\n",
    "\n",
    "num_steps = 60\n",
    "\n",
    "full_eval_period = 10\n",
    "s11_sq_dB_evolution = []\n",
    "s11_f_ghz = None\n",
    "realized_gain_evolution = []\n",
    "\n",
    "# Set bounds on patch width and height in the optimization\n",
    "clip_min_single = anp.array([patch_min_width, patch_min_height])\n",
    "clip_max_single = anp.array([patch_max_width, patch_max_height])\n",
    "\n",
    "figure_of_merit = np.zeros(num_steps + 1)\n",
    "\n",
    "\n",
    "def pack_optimization_state(iter_idx):\n",
    "    optimization_state[\"iteration\"] = iter_idx\n",
    "    optimization_state[\"figure of merit\"] = figure_of_merit\n",
    "    optimization_state[\"realized gain evolution\"] = realized_gain_evolution\n",
    "    optimization_state[\"opt state\"] = opt_state\n",
    "    optimization_state[\"patch parameters\"] = patch_wh\n",
    "\n",
    "\n",
    "optimization_state = {}\n",
    "if not os.path.exists(restart_fname):\n",
    "    pack_optimization_state(iter_idx=0)\n",
    "\n",
    "if restart_optimization:\n",
    "    with open(restart_fname, \"rb\") as file:\n",
    "        optimization_state = pickle.load(file)\n",
    "\n",
    "start_idx = 0\n",
    "if restart_optimization:\n",
    "    start_idx = optimization_state[\"iteration\"]\n",
    "    figure_of_merit = optimization_state[\"figure of merit\"]\n",
    "    realized_gain_evolution = optimization_state[\"realized gain evolution\"]\n",
    "    opt_state = optimization_state[\"opt state\"]\n",
    "    patch_wh = optimization_state[\"patch parameters\"]\n",
    "\n",
    "# run optimization loop, updating the patch parameters with the `Adam` optimizer\n",
    "# at each step and clipping the design on the bounds\n",
    "for step_idx in range(start_idx, num_steps):\n",
    "    pack_optimization_state(iter_idx=step_idx)\n",
    "    with open(restart_fname, \"wb\") as file:\n",
    "        pickle.dump(optimization_state, file)\n",
    "\n",
    "    f, g = obj_val_and_grad(patch_wh, initial_poynting_flux)\n",
    "\n",
    "    figure_of_merit[step_idx] = f\n",
    "\n",
    "    if (step_idx % full_eval_period) == 0:\n",
    "        smatrix_data_eval, realized_gain_eval = evaluate_antenna(patch_wh, freqs_s_params)\n",
    "        smatrix_eval = smatrix_data_eval.smatrix()\n",
    "        smatrix_f_ghz = smatrix_eval.data.coords[\"f\"] / 1e9\n",
    "        s11_f_ghz = smatrix_f_ghz.copy()\n",
    "        s11_data_selection = smatrix_eval.data.isel(port_out=0, port_in=0)\n",
    "        s11_sq_dB_evolution.append(20 * np.log10(np.abs(s11_data_selection.values.flatten())))\n",
    "\n",
    "        realized_gain_evolution.append(\n",
    "            {\n",
    "                \"Gtheta\": realized_gain_eval[\"Gtheta\"]\n",
    "                .sel(phi=0, method=\"nearest\")\n",
    "                .squeeze()\n",
    "                .values,\n",
    "                \"Gphi\": realized_gain_eval[\"Gphi\"].sel(phi=0, method=\"nearest\").squeeze().values,\n",
    "            }\n",
    "        )\n",
    "\n",
    "    updates, opt_state = optimizer.update(-g[0], opt_state, patch_wh)\n",
    "\n",
    "    patch_wh = optax.apply_updates(patch_wh, updates)\n",
    "    patch_wh = anp.array(patch_wh)\n",
    "    patch_wh = anp.clip(patch_wh, a_min=clip_min_single, a_max=clip_max_single)\n",
    "\n",
    "    if (step_idx % print_iteration_frequency) == 0:\n",
    "        output_text = Text.assemble(\n",
    "            (f\"Iteration {step_idx + 1}\", \"bold cyan\"),\n",
    "            \"\\n\",\n",
    "            (\"\\tParams (width, height) (mm): \", \"\"),\n",
    "            (\n",
    "                f\"{(patch_wh[0] / mm):.{print_decimal_places}f}, {(patch_wh[1] / mm):.{print_decimal_places}f}\",\n",
    "                \"blue\",\n",
    "            ),\n",
    "            \"\\n\",\n",
    "            (\"\\tFigure of merit:          \", \"bold\"),\n",
    "            (f\"{f:.{print_decimal_places}f}\", \"bold green\"),\n",
    "        )\n",
    "        console.print(output_text)\n",
    "\n",
    "figure_of_merit[num_steps] = objective_fn(patch_wh, initial_poynting_flux)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Below, we plot the optimization output, including the figure of merit as a function of iteration and a comparison of the initial and final patch geometry. During the optimization, we also tracked how the `S11` coefficient and realized gain were evolving as the optimizer tuned the patch width and height. This evolution is visualized as well, showing the resonance moving towards the desired frequency and the antenna gain increasing accordingly. In the visualization the lines get darker moving from the beginning of the optimization to the end."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1350x650 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the results of the optimization including the optimization trajectory and the resulting patch geometry\n",
    "# compared to the initial state\n",
    "plot_optimization_results(\n",
    "    figure_of_merit,\n",
    "    td.Box(center=(feed_offset, -0.5 * feed_y, 0.0), size=(feed_x, feed_y, 0.0)),\n",
    "    params_to_boxes(patch_init_wh),\n",
    "    params_to_boxes(patch_wh),\n",
    ")\n",
    "\n",
    "# Plot the evolution of the antenna S11 and realized gain during the course of the optimization\n",
    "plot_antenna_evolution(\n",
    "    s11_sq_dB_evolution,\n",
    "    s11_f_ghz,\n",
    "    realized_gain_evolution,\n",
    "    opt_freqs,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we plot a performance comparison between our initial final antenna states including the realized gain for both polarization."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1350x650 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1350x650 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Compute S11 and realized gain for the initial patch geometry\n",
    "smatrix_data_init, realized_gain_init = evaluate_antenna(patch_init_wh, freqs_s_params)\n",
    "# Compute S11 and realized gain for the optimized patch geometry\n",
    "smatrix_data_final, realized_gain_final = evaluate_antenna(patch_wh, freqs_s_params)\n",
    "\n",
    "# Plot the comparison in S11 and gain for the initial and optimized antennas for phi=0\n",
    "plot_phi = 0.0\n",
    "plot_antenna_comparison(\n",
    "    [smatrix_data_init.smatrix(), smatrix_data_final.smatrix()],\n",
    "    [smatrix_data_init.data, smatrix_data_final.data],\n",
    "    [realized_gain_init, realized_gain_final],\n",
    "    plot_phi,\n",
    "    sim_names=[\"before optimization\", \"after optimization\"],\n",
    "    plot_title=\"Antenna Comparison (phi=0)\",\n",
    ")\n",
    "\n",
    "# Plot the comparison in S11 and gain for the initial and optimized antennas for phi=pi / 2\n",
    "plot_phi = np.pi / 2.0\n",
    "plot_antenna_comparison(\n",
    "    [smatrix_data_init.smatrix(), smatrix_data_final.smatrix()],\n",
    "    [smatrix_data_init.data, smatrix_data_final.data],\n",
    "    [realized_gain_init, realized_gain_final],\n",
    "    plot_phi,\n",
    "    sim_names=[\"before optimization\", \"after optimization\"],\n",
    "    plot_title=\"Antenna Comparison (phi=\\u03a0 / 2)\",\n",
    ")\n",
    "# Save results of optimization\n",
    "np.save(\"misc/rf_autograd_1_patch_antenna_optimization.npy\", patch_wh)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Inverse design and the adjoint method will become increasingly useful when the degrees of freedom in the optimization get larger and the target objective functions are more challenging. The goal of this notebook was to introduce the concept and show how we can use gradient-based optimization methods for RF in Tidy3D. In future notebooks, we will demonstrate how to take advantage of this process to find designs for dual-band patch antennas and other more challenging RF problems."
   ]
  }
 ],
 "metadata": {
  "description": "Patch antennas are commonly used in radio frequency (RF) applications. In this notebook, we will demonstrate how to use Tidy3D to optimize a rectangular patch antenna using adjoint gradients for improved directivity and reflected power. This simple optimization lays out the workflow for optimizing more advanced RF components using gradient based methods.",
  "feature_image": "./img/rf_autograd_1_patch_antenna_thumbnail.png",
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "keywords": "patch antenna, adjoint, autograd, gradients, optimization, radio frequency, RF, Tidy3d, FDTD",
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.8"
  },
  "title": "How to optimize patch antennas with RF adjoint in Tidy3d FDTD"
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
