{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "# Introduction to antenna simulation "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "In this notebook, we will demonstrate how to use Tidy3D to simulate a simple RF antenna and compute key antenna metrics, such as:\n",
    "* S-parameters\n",
    "* Impedance\n",
    "* Field profile\n",
    "* Directivity and Gain\n",
    "* Axial Ratio\n",
    "\n",
    "We will use the patch antenna model designed by Sheen et al. in Reference [1]. A rectangular patch antenna is a type of microstrip antenna consisting of a rectangular conductive patch placed on a dielectric substrate with a ground plane on the opposite side. These antennas are widely used in wireless communication applications due to their simple design, ease of fabrication, and low profile.\n",
    "\n",
    "<img src=\"img/PatchAntenna.png\" alt=\"Schematic of the patch antenna\"  width=\"400\"/>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Importing necessary libraries\n",
    "import matplotlib.colors as colors\n",
    "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"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Building the Model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Units and Frequency Settings"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The antenna has a primary resonance at f ~ 7.5 GHz and a secondary resonance near f ~ 10 GHz. We will choose a frequency range that encompasses both resonances. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Frequency and wavelength parameters\n",
    "freq_start = 5e9\n",
    "freq_stop = 11e9\n",
    "freq0 = (freq_start + freq_stop) / 2\n",
    "wavelength0 = td.C_0 / freq0\n",
    "\n",
    "# Target frequencies (also used to define field monitors)\n",
    "freqs_target = [7.5e9, 10e9]\n",
    "\n",
    "# Frequency sweep points\n",
    "freqs = np.linspace(freq_start, freq_stop, 201)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In Tidy3D, the default units are micrometers (µm) and Hertz (Hz). For convenience during setup, we introduce a scaling factor to convert to millimeters (mm), which is more commonly used in RF simulations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Scaling used for millimeters\n",
    "mm = 1e3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Materials"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The dielectric substrate has a constant relative permittivity of 2.2. The metal structures are represented by the perfect electric conductor (PEC) medium. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Materials present\n",
    "medium_air = td.Medium(permittivity=1.0, name=\"Air\")\n",
    "medium_sub = td.Medium(permittivity=2.2, name=\"Substrate\")\n",
    "medium_metal = td.PECMedium()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Geometry and Structures"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We follow the dimensions outlined in Reference [1] to create the patch antenna."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Metal thickness\n",
    "th = 0.05 * mm\n",
    "\n",
    "# Substrate parameters\n",
    "sub_x = 23.34 * mm\n",
    "sub_y = 40 * mm\n",
    "sub_z = 0.794 * mm\n",
    "\n",
    "# Patch parameters\n",
    "patch_x = 12.45 * mm\n",
    "patch_y = 16 * mm\n",
    "\n",
    "# Feed line parameters\n",
    "feed_x = 2.46 * mm\n",
    "feed_y = 20 * mm\n",
    "feed_offset = 2.09 * mm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The structures are created below. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create substrate\n",
    "substrate = td.Structure(\n",
    "    geometry=td.Box(center=[0, 0, 0], size=[sub_x, sub_y, sub_z]),\n",
    "    medium=medium_sub,\n",
    "    name=\"Substrate\",\n",
    ")\n",
    "\n",
    "# Create ground plane\n",
    "ground_plane = td.Structure(\n",
    "    geometry=td.Box(center=[0, 0, -(sub_z + th) / 2], size=[sub_x, sub_y, th]),\n",
    "    medium=medium_metal,\n",
    "    name=\"Ground\",\n",
    ")\n",
    "\n",
    "# Create feed line\n",
    "feed_line = td.Structure(\n",
    "    geometry=td.Box.from_bounds(\n",
    "        rmin=[-patch_x / 2 + feed_offset, -sub_y / 2, sub_z / 2],\n",
    "        rmax=[-patch_x / 2 + feed_offset + feed_x, -sub_y / 2 + feed_y, sub_z / 2 + th],\n",
    "    ),\n",
    "    medium=medium_metal,\n",
    "    name=\"Feed line\",\n",
    ")\n",
    "\n",
    "# Create patch antenna\n",
    "patch = td.Structure(\n",
    "    geometry=td.Box.from_bounds(\n",
    "        rmin=[-patch_x / 2, -sub_y / 2 + feed_y, sub_z / 2],\n",
    "        rmax=[patch_x / 2, -sub_y / 2 + feed_y + patch_y, sub_z / 2 + th],\n",
    "    ),\n",
    "    medium=medium_metal,\n",
    "    name=\"Patch\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The structures are consolidated into a list below. For best results, we recommend adding any dielectric structures first, followed by metal/PEC structures. This ensures that the metal/PEC overrides the dielectric at the applicable material boundaries."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# List of structures for the simulations\n",
    "structures_list = [substrate, ground_plane, feed_line, patch]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Monitors"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We define a `FieldMonitor` to observe the field distribution in the patch antenna plane."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Field monitor to view the electromagnetic fields in the patch plane\n",
    "monitor_field = td.FieldMonitor(\n",
    "    center=(0, 0, sub_z / 2),\n",
    "    size=(td.inf, td.inf, 0),\n",
    "    freqs=freqs_target,\n",
    "    name=\"field\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To obtain radiation characteristics such as directivity and gain, use a `DirectivityMonitor`. The `DirectivityMonitor` is set up to surround the entire radiating structure and automatically calculates far-field information through a near-to-far field transformation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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\">11:00:20 EST </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: ℹ️ ⚠️ RF simulations are subject to new license requirements</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">in the future. You have instantiated at least one RF-specific      </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">component.                                                         </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:00:20 EST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: ℹ️ ⚠️ RF simulations are subject to new license requirements\u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31min the future. You have instantiated at least one RF-specific      \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mcomponent.                                                         \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Define elevation and azimuthal angular observation points\n",
    "# Theta is the elevation angle and defined relative to global +z axis\n",
    "theta = np.linspace(0, np.pi, 101)\n",
    "# Phi is the azimuthal angle and defined relative to global +x axis\n",
    "phi = np.linspace(-np.pi, np.pi, 201)\n",
    "\n",
    "# Create the DirectivityMonitor\n",
    "monitor_directivity = rf.DirectivityMonitor(\n",
    "    center=(0, 0, 0),\n",
    "    size=(\n",
    "        30 * mm,\n",
    "        45 * mm,\n",
    "        4 * mm,\n",
    "    ),  # The monitor should enclose the whole structure of interest\n",
    "    freqs=freqs,\n",
    "    name=\"radiation\",\n",
    "    phi=phi,\n",
    "    theta=theta,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Boundaries"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The simulation is truncated by Perfectly Matched Layers (PMLs) on all sides to absorb the outgoing radiation. Additionally, we introduce air padding of approximately half wavelength thickness around the antenna so that the PMLs do not distort the near field. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Padding distance\n",
    "padding = td.C_0 / freq_start / 2\n",
    "\n",
    "# Adding padding on each side\n",
    "sim_x = sub_x + 2 * padding\n",
    "sim_y = sub_y + 2 * padding\n",
    "sim_z = sub_z + 2 * padding\n",
    "\n",
    "# Define PMLs on all sides\n",
    "boundary_spec = td.BoundarySpec.all_sides(td.PML())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Grid/Mesh"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The grid specification controls how the simulation domain is discretized. We make use of `LayerRefinementSpec` to automatically refine the grid near the metal layers. Otherwise, the grid size in the rest of the domain is set automatically according to the wavelength. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_lr_spec(structures_list):\n",
    "    \"\"\"Returns LayerRefinementSpec applied to the bounding box of the input structure list\"\"\"\n",
    "    lr_spec = rf.LayerRefinementSpec.from_structures(\n",
    "        structures=structures_list,\n",
    "        axis=2,  # Layer normal is oriented along the z-axis\n",
    "        bounds_snapping=\"bounds\",  # Snap grid lines to layer bounds in normal direction\n",
    "        bounds_refinement=td.GridRefinement(\n",
    "            dl=th, num_cells=2\n",
    "        ),  # cell size and num cells at layer boundaries in normal direction\n",
    "        corner_refinement=td.GridRefinement(\n",
    "            dl=0.2 * mm, num_cells=2\n",
    "        ),  # cell size and num cells around in-plane metal corners\n",
    "    )\n",
    "\n",
    "    return lr_spec\n",
    "\n",
    "\n",
    "# Layer refinement for the ground layer\n",
    "lr_spec_1 = create_lr_spec([ground_plane])\n",
    "\n",
    "# Layer refinement for the patch antenna layer\n",
    "lr_spec_2 = create_lr_spec([feed_line, patch])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define overall grid specification\n",
    "grid_spec = td.GridSpec.auto(\n",
    "    wavelength=wavelength0, min_steps_per_wvl=25, layer_refinement_specs=[lr_spec_1, lr_spec_2]\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lumped Port"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The antenna will be excited by a `LumpedPort` positioned at the end of the feed line. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a lumped port excitation\n",
    "port = rf.LumpedPort(\n",
    "    name=\"lumped_port\",\n",
    "    center=[-patch_x / 2 + feed_offset + feed_x / 2, -sub_y / 2, 0],\n",
    "    size=[feed_x, 0, sub_z],\n",
    "    voltage_axis=2,  # port is aligned with z-axis\n",
    "    impedance=50,  # port impedance is 50 Ohms\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Define Simulation and TerminalComponentModeler"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `Simulation` object contains all necessary information about the simulation domain that we have defined thus far. Note that the lumped port excitation and the radiation monitor are added later. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING:  ℹ️ ⚠️ RF simulations are subject to new license            </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">requirements in the future. You are using RF-specific components in</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">this simulation.                                                   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\"> - Contains monitors defined for RF wavelengths.                   </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING:  ℹ️ ⚠️ RF simulations are subject to new license            \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mrequirements in the future. You are using RF-specific components in\u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthis simulation.                                                   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31m - Contains monitors defined for RF wavelengths.                   \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create the simulation object\n",
    "sim = td.Simulation(\n",
    "    center=[0, 0, 0],\n",
    "    size=[sim_x, sim_y, sim_z],\n",
    "    structures=structures_list,\n",
    "    monitors=[monitor_field],  # Directivity monitor will be added later\n",
    "    sources=[],  # Lumped port will be added later\n",
    "    boundary_spec=boundary_spec,\n",
    "    grid_spec=grid_spec,\n",
    "    run_time=5e-9,  # Run time should be long enough for total field intensity to fall below shutoff value (default 1e-5)\n",
    "    plot_length_units=\"mm\",  # This option will make plots default to units of millimeters.\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `TerminalComponentModeler` is a wrapper object that automatically conducts a port sweep of the predefined `Simulation` in order to generate the full S-parameter matrix. We specify the port and radiation monitor information here. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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\">11:00:21 EST </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: ℹ️ ⚠️ The TerminalComponentModeler class was refactored in  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">tidy3d version </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.10</span><span style=\"color: #800000; text-decoration-color: #800000\">. Migration documentation will be provided, and </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">existing functionality can be accessed in a different way.         </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:00:21 EST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: ℹ️ ⚠️ The TerminalComponentModeler class was refactored in  \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mtidy3d version \u001b[0m\u001b[1;36m2.10\u001b[0m\u001b[31m. Migration documentation will be provided, and \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mexisting functionality can be accessed in a different way.         \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Define TerminalComponentModeler\n",
    "modeler = rf.TerminalComponentModeler(\n",
    "    simulation=sim,  # Base simulation to run\n",
    "    freqs=freqs,  # Sweep frequencies points\n",
    "    ports=[port],  # Include ports here\n",
    "    radiation_monitors=[monitor_directivity],  # Include radiation monitors here\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Examine Structures and Mesh"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Before running the simulation, it is advisable to inspect the created structure and mesh. \n",
    "\n",
    "Here, we examine the structure along its propagation direction and the cross-section at the terminated end of the feed line, which includes the location of the lumped port (green with red arrow)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create plot\n",
    "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 6))\n",
    "\n",
    "# Plot the structure and mesh in the x-y plane\n",
    "modeler.plot_sim(\n",
    "    z=sub_z / 2,\n",
    "    ax=ax1,\n",
    "    monitor_alpha=0.2,\n",
    ")\n",
    "sim.plot_grid(z=sub_z / 2, ax=ax1, hlim=[-20 * mm, 20 * mm], vlim=[-25 * mm, 25 * mm])\n",
    "\n",
    "# Plot the structure and mesh in the x-z plane\n",
    "modeler.plot_sim(\n",
    "    y=-sub_y / 2,\n",
    "    ax=ax2,\n",
    "    monitor_alpha=0.2,\n",
    ")\n",
    "sim.plot_grid(y=-sub_y / 2, ax=ax2, hlim=[-15 * mm, 15 * mm], vlim=[-1 * mm, 5 * mm])\n",
    "ax2.set_aspect(5)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Run simulation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Use the `tidy3d.web.upload()` method to upload the job and get a cost estimate. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING:  ℹ️ ⚠️ RF simulations are subject to new license            </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">requirements in the future. You are using RF-specific components in</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">this simulation.                                                   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\"> - Contains a </span><span style=\"color: #008000; text-decoration-color: #008000\">'LumpedElement'</span><span style=\"color: #800000; text-decoration-color: #800000\">.                                     </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\"> - Contains monitors defined for RF wavelengths.                   </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING:  ℹ️ ⚠️ RF simulations are subject to new license            \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mrequirements in the future. You are using RF-specific components in\u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthis simulation.                                                   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31m - Contains a \u001b[0m\u001b[32m'LumpedElement'\u001b[0m\u001b[31m.                                     \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31m - Contains monitors defined for RF wavelengths.                   \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Structure: simulation.structures</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">[</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">]</span><span style=\"color: #800000; text-decoration-color: #800000\"> </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">(</span><span style=\"color: #800000; text-decoration-color: #800000\">no `name` was        </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">specified</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</span><span style=\"color: #800000; text-decoration-color: #800000\"> has geometry with zero size along dimensions </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">[</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">]</span><span style=\"color: #800000; text-decoration-color: #800000\">, and   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">with a medium that is not a </span><span style=\"color: #008000; text-decoration-color: #008000\">'Medium2D'</span><span style=\"color: #800000; text-decoration-color: #800000\">. This is probably not       </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">correct, since the resulting simulation will depend on the details </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">of the numerical grid. Consider either giving the geometry a       </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">nonzero thickness or using a </span><span style=\"color: #008000; text-decoration-color: #008000\">'Medium2D'</span><span style=\"color: #800000; text-decoration-color: #800000\">.                           </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Structure: simulation.structures\u001b[0m\u001b[1;31m[\u001b[0m\u001b[1;36m4\u001b[0m\u001b[1;31m]\u001b[0m\u001b[31m \u001b[0m\u001b[1;31m(\u001b[0m\u001b[31mno `name` was        \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mspecified\u001b[0m\u001b[1;31m)\u001b[0m\u001b[31m has geometry with zero size along dimensions \u001b[0m\u001b[1;31m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m]\u001b[0m\u001b[31m, and   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mwith a medium that is not a \u001b[0m\u001b[32m'Medium2D'\u001b[0m\u001b[31m. This is probably not       \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mcorrect, since the resulting simulation will depend on the details \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mof the numerical grid. Consider either giving the geometry a       \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mnonzero thickness or using a \u001b[0m\u001b[32m'Medium2D'\u001b[0m\u001b[31m.                           \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">11:00:22 EST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'antenna_modeler'</span> with resource_id                    \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'sid-5a46b5d7-3e7f-46f6-bbc9-d35632b9e4f2'</span> and task_type           \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'TERMINAL_CM'</span>.                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:00:22 EST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'antenna_modeler'\u001b[0m with resource_id                    \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'sid-5a46b5d7-3e7f-46f6-bbc9-d35632b9e4f2'\u001b[0m and task_type           \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'TERMINAL_CM'\u001b[0m.                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/rf?taskId=pa-cddf633f-4745-403f-911a-a42742a2df8b\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/rf?taskId=pa-cddf633f-4745-403f-91</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/rf?taskId=pa-cddf633f-4745-403f-911a-a42742a2df8b\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">1a-a42742a2df8b'</span></a>.                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=708513;https://tidy3d.simulation.cloud/rf?taskId=pa-cddf633f-4745-403f-911a-a42742a2df8b\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/rf?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=727805;https://tidy3d.simulation.cloud/rf?taskId=pa-cddf633f-4745-403f-911a-a42742a2df8b\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=708513;https://tidy3d.simulation.cloud/rf?taskId=pa-cddf633f-4745-403f-911a-a42742a2df8b\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=398481;https://tidy3d.simulation.cloud/rf?taskId=pa-cddf633f-4745-403f-911a-a42742a2df8b\u001b\\\u001b[32mpa\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=708513;https://tidy3d.simulation.cloud/rf?taskId=pa-cddf633f-4745-403f-911a-a42742a2df8b\u001b\\\u001b[32m-cddf633f-4745-403f-91\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=708513;https://tidy3d.simulation.cloud/rf?taskId=pa-cddf633f-4745-403f-911a-a42742a2df8b\u001b\\\u001b[32m1a-a42742a2df8b'\u001b[0m\u001b]8;;\u001b\\.                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/f89aec3e-3357-4624-9c24-096a87582f12\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=322723;https://tidy3d.simulation.cloud/folders/f89aec3e-3357-4624-9c24-096a87582f12\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5bffe68be3dc45a2875e36fcc3ae846c",
       "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\">11:00:31 EST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.097</span>. Minimum cost depends on task       \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> after run.         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:00:31 EST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.097\u001b[0m. Minimum cost depends on task       \n",
       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m after run.         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "task_id = web.upload(modeler, task_name=\"antenna_modeler\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We start and monitor the job below. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "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\">11:00:32 EST </span>Subtasks status - antenna_modeler                                  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Group ID: <span style=\"color: #008000; text-decoration-color: #008000\">'pa-cddf633f-4745-403f-911a-a42742a2df8b'</span>                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:00:32 EST\u001b[0m\u001b[2;36m \u001b[0mSubtasks status - antenna_modeler                                  \n",
       "\u001b[2;36m             \u001b[0mGroup ID: \u001b[32m'pa-cddf633f-4745-403f-911a-a42742a2df8b'\u001b[0m                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e57d60621a364f339958c079e0871800",
       "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\">             </span>Batch status = preprocess                                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mBatch status = preprocess                                          \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\">11:00:39 EST </span>Batch status = running                                             \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:00:39 EST\u001b[0m\u001b[2;36m \u001b[0mBatch status = running                                             \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\">11:01:24 EST </span>Batch status = postprocess                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:01:24 EST\u001b[0m\u001b[2;36m \u001b[0mBatch status = postprocess                                         \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\">11:01:47 EST </span>Modeler has finished running successfully.                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:01:47 EST\u001b[0m\u001b[2;36m \u001b[0mModeler has finished running successfully.                         \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\">11:01:48 EST </span>Billed flex credit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.082</span>.                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:01:48 EST\u001b[0m\u001b[2;36m \u001b[0mBilled flex credit cost: \u001b[1;36m0.082\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\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Run and monitor simulation\n",
    "web.start(task_id)\n",
    "web.monitor(task_id)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After completion, we download the TCM data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c812d5355d4a41f5adb2bc0265440d95",
       "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\">11:01:53 EST </span>Loading component modeler data from cm_data.hdf5                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:01:53 EST\u001b[0m\u001b[2;36m \u001b[0mLoading component modeler data from cm_data.hdf5                   \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><span style=\"color: #800000; text-decoration-color: #800000\">WARNING:  ℹ️ ⚠️ RF simulations are subject to new license            </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">requirements in the future. You are using RF-specific components in</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">this simulation.                                                   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\"> - Contains a </span><span style=\"color: #008000; text-decoration-color: #008000\">'LumpedElement'</span><span style=\"color: #800000; text-decoration-color: #800000\">.                                     </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\"> - Contains sources defined for RF wavelengths.                    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\"> - Contains monitors defined for RF wavelengths.                   </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING:  ℹ️ ⚠️ RF simulations are subject to new license            \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mrequirements in the future. You are using RF-specific components in\u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mthis simulation.                                                   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31m - Contains a \u001b[0m\u001b[32m'LumpedElement'\u001b[0m\u001b[31m.                                     \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31m - Contains sources defined for RF wavelengths.                    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31m - Contains monitors defined for RF wavelengths.                   \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Load TCM data\n",
    "tcm_data = web.load(task_id)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also check the real cost of the simulation. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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\">11:01:54 EST </span>Billed flex credit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.082</span>.                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m11:01:54 EST\u001b[0m\u001b[2;36m \u001b[0mBilled flex credit cost: \u001b[1;36m0.082\u001b[0m.                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Print real sim cost\n",
    "_ = web.real_cost(task_id)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Use the `smatrix()` method of the TCM data object to calculate the S-matrix. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "s_matrix = tcm_data.smatrix()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### S-parameters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `s_matrix` returned by the `TerminalComponentModeler` is the full `fxNxN` matrix, where `f` is the number of frequency points and `N` is the number of ports. In this case, there is only one port. \n",
    "\n",
    "Note that Tidy3D uses the physics phase convention. We apply complex conjugate to the calculated S-parameter in order to convert it to the engineering convention. The latter convention is more commonly used in RF and microwave applications. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Specify port_in and port_out to get the specific S_ij\n",
    "S11 = np.conjugate(s_matrix.data.isel(port_out=0, port_in=0))\n",
    "\n",
    "# Transform to dB\n",
    "S11dB = 20 * np.log10(np.abs(S11))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Jy+OPq12J8nQ6YNy4XISH6/HUU2I34YgIccoKbj6Yb9EiB3z1VRMAYrXT/PkcdqwoRo0SQ+hPPil6jTp0EKs5Q0LUrqziMhjEwpQffhDvOQU3QS3I3198GA0JEdMbvL1zIEmJAAIVrbcgBiOiSqJnTzF3pm9f8cltwADgl184rAaI5d3Tp4vzzbzxRg5mz9YzFFUwHTuKnorevcXwTZcuYlJ2aKjalVUcBoN4T9mwQWyjUnBFoE4ntlUxTndo1kys5H3wpMkGQy5++SVJ2cIfwGBEVIm0by/CUdeu4hPzs8+KPWAq+jnoSvPdd2L1IgAMHHgGM2eGQqerxA1SgdWvL3oxuncX8w67dBEbpdaurXZl9i0+XmyVsGKFGDIz8vMTq3SffFKcvqhqVbUqtAzn5xNVMq1aiUnpzs4iFEyfrnZF6tm7V2wKKknAmDE5GDbspNolkY3VqgX89psYWrt8WfQgFT/XhUqTmyveR7p3F4Fz3jwRivz9xQrhnTvFyX+/+kpsa2IvoQhgMCKqlB57TCxBB4AFC8QbXGWTkAA8/bQ4SemTTwKffJLL4bNKIigIiI0VG3aePCn+cKenq12VfcjJEVuiNG0qhuN37BDDZH36iEUdly+L7RI6d7bfnmgGI6JKavBgsa8RIHYIPndO3XqUdP++CEVJSWLew+rV9vsmTtYJDhan86laVcy5GztW9BxS8XJyxMl7H3oIGDpUnG3A21v0OF+4IOYWDRhQ/Hke7Q2DEVEl9v77YiJkSoo4EWpOjtoVKeP118V55apVE0u47X1bBrJO48ait9TRUZxv8KOP1K5Im3btErvAR0WJuVnVq4sNMy9eBN57r+LN0WIwIqrEnJzE+dyqVBHLmD/5RO2KbO/XX4GPPxa316wRS4Wp8urSRZxSCBDbNPD0Ifnu3AFGjhRtFBcn3ifef1/0EL31ln3NG7IEgxFRJVezptizBxC7Axd3KpSK4vp18UYPABMmQNXddUk7XnlFbOiZkyNWanIythgaa9xYrDTT6cT5F8+eFb2tFb2HlcGIiDBmjFhOm5YmdgiuqHMtXnpJrJx5+GGxioYIEH/4ly4VK9WuXgXGjau4vwNlMRhE+OnXT6wqa9hQbGmwdKlYfl8ZMBgRERwcxOkvnJ3FJ8Xt29WuSH7/939i4zm9Xgyh8VQfVJC7u/i5cHQE/vtfcbuyuXlTnHDX2IP88svifHMdOqhbl9IYjIgIABAeLj4pA2JIrSJ9Yk5PF2/yADBxoth1l+hBrVsDM2eK26+8IlYtVhZnz4oNYHftEqvN/vtfMefQzU3typTHYEREJtOnizfCP/8UPSwVxbvvigmjwcH5f/iIijNtmtgENTlZTMauDA4dEqEoPl6cs2zvXmDgQLWrUg+DERGZBASIT8qAWHWSm6tuPXK4eDF/1dHHHxc9NxNRQY6OYj6NTgesXQts26Z2Rba1f7/Y8PXWLdFj9uefQKNGalelLgYjIirktdfEqpO4OHEiSHv3zjtid+tu3cQO10Rlad0aGD9e3H7pJSAzU916bGX/fnFy6eRk4NFHxdzCgAC1q1IfgxERFeLjkz/X6PPP1a2lvE6dEsuNAbERHU/5QeZ6910REs6cAZYsUbsa+Z05I7arSEkRp+/49deKvwzfXAxGRFTEuHEiRGzeLCZl2qsZM8Rw4BNPAI88onY1ZE+qVBG9jYAIScnJ6tYjp8REoFev/OGz//s/DjEXxGBEREWEhYmTQgJivoU9OnpUrKzR6cQfNiJLjRwpVmveulVx9r3KyBAfFC5cAOrVYygqDoMRERXrpZfE9fLl9nnmceN5r555BmjSRN1ayD45OopTYADAhx8CCQmqllNukiR6gw8eFEPmmzYBNWqoXZX2MBgRUbF69wZCQ4G7d4FvvlG7GsvcuJG/Qd/EierWQvbtiSfExOSMDGDuXLWrKZ9PPwVWrRIbuq5fz/MEloTBiIiKpdcDY8eK22vXqluLpb74QqwkatNG7M9CZC2dDpg1S9z+6iv73fTxwAFg0iRxe8ECsUSfisdgREQlGjxYXP/2m+iFsQdZWcBnn4nb0dFciUbl162bmLyfmQksXqx2NZZLTQWGDgWys8XQMntRS8dgREQlCgsDWrYUK7t++EHtaszz3XfiU31QUOXevZfko9MBb7whbi9ZAty+rW49lpowQexqHRwMfPklPyyUhcGIiEoVGSmuv/tO3TrMtWqVuB47VpwUl0gO/fqJc+ylpopziNmLjRuBmBgRhlavBqpVU7si7WMwIqJSGYPR9u3i7NtalpQExMaK28OHq1sLVSw6nTiXICCGau1hN+y7d/NXl06dCnTpomo5doPBiIhKVbcu0KIFkJMjPn1q2TffiGG/9u254obk98wzQK1aYr7d+vVqV1O2114TmznWrw+8/bba1dgPBiMiKpNxro7Wh9OMS/SffVbdOqhicnTMP4faxx+LfYG0audOMZ8IEKvp3NzUrceeMBgRUZmeekpc79wJ3L+vaiklOnkSOHRI/PEaNEjtaqiiGjMGcHUVP2t796pdTfGys/MD3AsviHOhkfkYjIioTA89BAQGilCk1T8Gxr2W+vQBfH3VrYUqLl9fYNgwcdu4u7rWLFkCHD8udre2900p1cBgRERl0umA7t3F7W3b1K2lJMbtBIYMUbcOqvheeUVcf/89cO2aurU86MYNcfJkAHjvPa5CswaDERGZxbhTrhaD0YULwIkTYrfu3r3VroYqumbNxIaP2dn520NoxVtvidVoLVoAo0erXY19YjAiIrMYg9H+/UBysrq1POiXX8R1hw78hEzKGDNGXH/1lXYmYZ86lT/h+qOPxAcFshyDERGZpXZtsew3N1dMwtYSYzDq10/dOqjyGDwY8PQEzpwBfv9d7WqEN98Uv59PPAF06qR2NfaLwYiIzKbF4bSMDLH5JAD07atuLVR5eHoC//qXuP3VV+rWAoiTxG7YIOYDvvee2tXYNwYjIjKbFoPRb7+JcFSrFvDww2pXQ5WJcTjt22/FvB41TZsmrp97DmjcWN1a7B2DERGZrVs3cX38uFj9ogXGYbS+fXlyTFJW27YihNy/r+7mpzt3il5TZ2dg1iz16qgoKk0wqlOnDnQ6XaHL+++/r3ZZRHbFxwdo0EDcPnhQ3VqMOL+I1KLT5e+ybtxHSw2zZ4vr0aOBkBD16qgoKk0wAoB33nkHiYmJpssrxs0oiMhsbdqI6wMH1K0DAK5cAf75B3BwyO/NIlLS0KHi+rffgMuXlX/9PXvE0LajI/D668q/fkVUqYKRl5cXAgICTBcPDw+1SyKyO1oKRn/8Ia6bNwe8vFQthSqp2rXzT7mxbp3yr2/sLYqKYm+RXBzVLkBJ77//PmbPno3atWtj6NChmDhxIhwdS26CzMxMZGZmmu6npKQAAAwGAwwGg6y1GY8n93ErIraV+WzRVi1a6AA44sABCVlZ2arO69m1ywGAHh065MBgyC3XsfhzZT62VWFDhuiwa5cj1qyRMHFidqGv2bKtDh3SYdMmR+j1EqZMyUZF+O+wVXtZcrxKE4wmTJiAli1bonr16tizZw+mT5+OxMRELF68uMTvmTt3LmYVM5Nty5YtcHd3t0mdsbGxNjluRcS2Mp+cbZWZqYeDQ19cu+aAVau2w89PvbPKbtrUBUBVuLoexi+/XJXlmPy5Mh/bSvDycoKjYy8cParH55/vRp0694o8xxZtNX9+awA18eijV3Dq1GGcOiX7S6hG7vZKT083+7k6SdLKnp2WmzZtGubNm1fqc06ePInw8PAijy9fvhwvvPACUlNT4eLiUuz3FtdjFBwcjJs3b8Lb27t8xT/AYDAgNjYWPXv2hJOTk6zHrmjYVuazVVu1bu2II0d0WL8+GwMGqPMWcu8e4OfniNxcHc6fN6BmzfIdjz9X5mNbFRUZqcePPzpgypQcvPdefu+lrdrqn3+ARo3Ez//BgwY0bSrboVVlq/ZKSUmBr68vkpOTy/z7bdc9RpMnT0ZUVFSpzwkLCyv28Xbt2iE7OxsXLlxAw4YNi32Oi4tLsaHJycnJZm8Gtjx2RcO2Mp/cbdW2LXDkCPDXX44YNEi2w1rk0CGxy2+dOkCdOvL92/hzZT62Vb7hw4EffwTWr9dj3jw9HB6YwSt3W336qfj579ULaNWq4v0fyN1elhzLroORn58f/Pz8rPreuLg4ODg4oEaNGjJXRVTxtWkjdvtVc8m+8TQMjz6qXg1ERv36AVWqiJVpu3cDXbrY7rVu3QKWLxe3p0613etUVpViVdrevXvx4Ycf4u+//8Y///yDtWvXYuLEiXj22WdRjWecJLKYcWXawYPqnUDTuCKtY0d1Xp+oIFdXYOBAcXvNGtu+1pIlQHo60KIF0L27bV+rMqoUwcjFxQXffPMNunTpgsaNG2POnDmYOHEili1bpnZpRHbp4YfFH4K7d4H4eOVfPzsb+PNPcZs9RqQVw4aJ6+++AwpMT5VVVhbw2Wfi9uTJ3O3dFux6KM1cLVu2xJ/Gd1EiKjcnJ6BZM2DfPuDwYaB+fWVf/+hRIC1NDF00aqTsaxOVpEsXcc6+K1fEjuwDBsj/Gv/9L5CUBAQGApGR8h+fKkmPERHJz3jC1pMnlX/tuDhx3aoVikxyJVKLgwMwZIi4bYvhNEkCPvxQ3B4/XpwbjeTHtxQisspDD4nrEyeUf+2//xbXzZop/9pEpTGeO+3nn8VQs5z27hXz+lxcgOefl/fYlI/BiIisYhzCUqPHiMGItKppU9GbmpUl5hrJ6aOPxPWwYYCVC7LJDAxGRGQVY4/R6dNiMrRSJInBiLTN2Gu0dq18x7x8GdiwQdx+9VX5jktFMRgRkVVq1wbc3QGDQezCq5QrV4A7d8TZxI3hjEhLjPOMdu4UgUYOn30G5OQA3bqhwuxyrVUMRkRkFQcHwHi2HSXnGRl7ix56SMy1INKa2rWBzp1F7+b69eX/M5ueDhh3l2Fvke0xGBGR1dSYZ8RhNLIHxuG0r792KPcmqKtXi17S0FDg8cfLXxuVjsGIiKymxso0BiOyBwMHih7NY8d0OHeuitXHkSTg44/F7QkTAL1epgKpRAxGRGQ19hgRFa9aNeCZZ8TtrVtDrD7Opk3ig4enJzBypEzFUakYjIjIasYeo5MnxZm+bS0tDTh7VtxmMCKtGzNGXO/cWQtpadYdY8ECcf3882Knd7I9BiMislrduuL0IOnp8q2+Kc2xY2JoISAAqFHD9q9HVB5dugB160rIyHDChg2Wn9Ts4EFgxw6xAjM6Wv76qHgMRkRkNUdHoEEDcVuJeUYcRiN74uAAREWJrtTlyy3/c2vsLRoyBAgOlrMyKg2DERGVi3GekRLB6NQpcd24se1fi0gOzz2XCweHXOzZ44CjR83/vn/+yd85e+pU29RGxWMwIqJyMe5ldOaM7V/LOL+ofn3bvxaRHAIDgUceSQQAvPee+d83c6aYt9enD9CkiY2Ko2IxGBFRuYSGiusLF2z/WvHx4rpePdu/FpFcIiPFp4b168UpdMoSF5d/OpF337VdXVQ8BiMiKhelglFOTv6pR9hjRPYkNDQF/frlQpKAuXPLfv60aWKRwZAhQMuWtq+PCmMwIqJyqVNHXF+4YNsl+5cuiTOWu7hwIirZn3//W/xyrFlT+rkFt24FNm8Wqz3ZW6QOBiMiKpdatcRuvFlZQFKS7V7HOL+obl2x2ofInrRpIyEiQvR8jh0rrh9040b+Jo4vvACEhSlbIwl8eyGicnF0FOEIsO1wmjEYcX4R2auPPgI8PIDt24G33y78tZwcYOhQ4MoVsQXGnDmqlEhgMCIiGRQcTrMV48Rrzi8iexUeDnz5pbj97rvAV18BBgNw/broRdq6FXB3B77/HvD2VrfWyozBiIjKTYkJ2FyqTxXBkCHAiy+K22PHArVri9+fmBjx2Jdfcp8utTEYEVG5GXuMzp+33WswGFFF8eGHYijN31/My0tPB9q0ESeMHTpU7erIUe0CiMj+2XooLTs7fyUP5xiRvXN2Fhs4Tp8uVqB5egJduwI6y0+nRjbAYERE5WbrYHTxoghHrq75E72J7J2zM9C/v9pV0IM4lEZE5WacY3Txom32MjJOvOZSfSKyNb7FEFG5BQWJZfsGA5CYKP/xOb+IiJTCYERE5ebomL8btS0mYDMYEZFSGIyISBa2nGfEk8cSkVIYjIhIFrYMRpcvi+uQEPmPTURUEIMREcnClps8XrkirrkijYhsjcGIiGRhqx6jtDTgzh1x2ziPiYjIVhiMiEgWtWuL60uX5D1uQoK49vLi+aOIyPYYjIhIFoGB4lru5frG+UUcRiMiJTAYEZEsjMEoNVVc5ML5RUSkJAYjIpKFpyfg7i5uJyXJd1wGIyJSEoMREclCp8vvNbJFMOLEayJSAoMREcnGFvOM2GNEREpiMCIi2QQEiGs5e4w4+ZqIlMRgRESyYY8REdk7BiMiko3cPUYZGcCtW+I2gxERKYHBiIhkI3ePkXFzRw8PoGpVeY5JRFQaBiMiko3cPUYF5xfpdPIck4ioNAxGRCQbuXuMOL+IiJTGYEREsjEGoxs3gJyc8h+PwYiIlMZgRESy8fUFHByA3Fzg+vXyH4/BiIiUxmBERLLR6wF/f3FbjuE07npNREpjMCIiWck5AZubOxKR0hiMiEhWck7A5lAaESmNwYiIZCVXj5HBICZxA/lhi4jI1hiMiEhWcvUYGXe81ukAH5/yHYuIyFwMRkQkK7l6jIy9RT4+YlI3EZESGIyISFZy9RgZg5GfX/mOQ0RkCQYjIpKVMRjJ1WPEYERESmIwIiJZGYfSEhMBSbL+OAxGRKQGBiMikpWxxygjA0hJsf44DEZEpAYGIyKSlZsb4O4ubt++bf1xGIyISA0VJhjNmTMHHTp0gLu7O6pWrVrscy5duoR+/frB3d0dNWrUwNSpU5Gdna1soUSVQPXq4prBiIjsTYUJRllZWYiMjMSLL75Y7NdzcnLQr18/ZGVlYc+ePVi5ciVWrFiBGTNmKFwpUcVnDEbGvYiswWBERGpwVLsAucyaNQsAsGLFimK/vmXLFpw4cQJbt26Fv78/mjdvjtmzZ+P111/H22+/DWdn5yLfk5mZiczMTNP9lLwJEwaDAQaDQdb6jceT+7gVEdvKfGq1VbVqegAOuH49GwaDdTOwr193BKBDtWrWH8MS/LkyH9vKfGwry9iqvSw5XoUJRmXZu3cvmjRpAn/jqb8B9OrVCy+++CKOHz+OFi1aFPmeuXPnmgJXQVu2bIG7cRKFzGJjY21y3IqIbWU+pdsqM7MNgCDs3n0cXl4XrDrG1au9Abjg1KnduH+/HLO4LcSfK/OxrczHtrKM3O2Vnp5u9nMrTTBKSkoqFIoAmO4nlbDhyvTp0zFp0iTT/ZSUFAQHByMiIgLe3t6y1mcwGBAbG4uePXvCyclJ1mNXNGwr86nVVv/7nx5//gkEBT2Mvn0bWfz9ubnAvXvi7WnAgEcVOVcaf67Mx7YyH9vKMrZqrxQLlshqOhhNmzYN8+bNK/U5J0+eRHh4uE1e38XFBS4uLkUed3JystkPuC2PXdGwrcyndFv5+orr5GQ9nJwsP5/HzZsiHAFAYKATlPxv5s+V+dhW5mNbWUbu9rLkWJoORpMnT0ZUVFSpzwkLCzPrWAEBAdi/f3+hx65du2b6GhHJp7yr0owTr6tWhaKhiIhI08HIz88PfjItSWnfvj3mzJmD69evo0aNGgDEGKa3tzcaNbK8q5+ISiZXMOKKNCJSmizByGAwICkpCenp6fDz80N147uigi5duoTbt2/j0qVLyMnJQVxcHACgXr168PT0REREBBo1aoThw4dj/vz5SEpKwptvvonx48cXO1xGRNZjMCIie2V1MLp37x7WrFmDb775Bvv370dWVhYkSYJOp0OtWrUQERGB559/Hm3atJGz3hLNmDEDK1euNN03rjLbsWMHunbtCr1ej59//hkvvvgi2rdvDw8PD4wYMQLvvPOOIvURVSYMRkRkr6wKRosXL8acOXNQt25d9O/fH//+978RFBQENzc33L59G8eOHcPu3bsRERGBdu3a4ZNPPkH9+vXlrr2QFStWlLiHkVFISAh++eUXm9ZBRAxGRGS/rApGBw4cwK5du9C4ceNiv962bVuMGjUKS5cuRUxMDHbv3m3zYERE2lEwGEkSoNNZ9v0MRkSkFquC0bp168x6nouLC8aNG2fNSxCRHTMGI4MBSEsDPD0t+34GIyJSS7knX9+6dQs+Pj4AgMuXL+PLL79ERkYG+vfvj86dO5e7QCKyP+7ugLMzkJUleo0YjIjIXlh9EtmjR4+iTp06qFGjBsLDwxEXF4c2bdrggw8+wLJly9C9e3ds3LhRxlKJyF7odEDe5yWr5hkxGBGRWqwORq+99hqaNGmCXbt2oWvXrnj88cfRr18/JCcn486dO3jhhRfw/vvvy1krEdmR8kzAZjAiIrVYPZR24MABbN++HU2bNkWzZs2wbNkyvPTSS3BwEFnrlVdewSOPPCJboURkX6wNRpIkTgkCMBgRkfKs7jG6ffu26VQanp6e8PDwQLVq1Uxfr1atGu7du1f+ConILlkbjJKTxaRtgMGIiJRndTACAN0Da3AfvE9ElZe1wcg4jObpCbi6ylsTEVFZyrUqLSoqynQ6jfv372PcuHHw8PAAAGRmZpa/OiKyW9YGI+Mwmq+vvPUQEZnD6mA0YsSIQvefffbZIs957rnnrD08Edk5YzC6dcuy70tOFtdVq8paDhGRWawORjExMXLWQUQVTHnmGAFAlSry1kNEZI5yzTEiIioJgxER2SOreowmTZpk9nMXL15szUsQkZ1jMCIie2RVMPrrr78K3T98+DCys7PRsGFDAMCZM2eg1+vRqlWr8ldIRHaJwYiI7JFVwWjHjh2m24sXL4aXlxdWrlxp2sfozp07GDlyJDp16iRPlURkdxiMiMgelXuO0aJFizB37twimzu+++67WLRoUXkPT0R2yhiM7t8HMjLM/z5jMPL2lr8mIqKylDsYpaSk4IZxR7YCbty4wZ2viSoxLy9Arxe3Lek1SkkR1+wxIiI1lDsYDRgwACNHjsT333+PK1eu4MqVK9iwYQNGjx6Np59+Wo4aicgO6XTWDadxKI2I1FSuna8BYOnSpZgyZQqGDh0KQ94JjhwdHTF69GgsWLCg3AUSkf2qXl2c4oPBiIjsRbmDkbu7Oz7//HMsWLAA586dAwDUrVvXdGoQIqq82GNERPbGqqG0S5cuFXnMw8MDTZs2RdOmTYuEooSEBOuqIyK7ZpxAbZw3ZA4GIyJSk1XBqE2bNnjhhRdw4MCBEp+TnJyML7/8Eg8//DA2bNhgdYFEZL88PcV1aqp5z5ckBiMiUpdVQ2knTpzAnDlz0LNnT7i6uqJVq1YICgqCq6sr7ty5gxMnTuD48eNo2bIl5s+fj759+8pdNxHZAS8vcW3uAtWMDCA7W9zmcn0iUoNVPUY+Pj5YvHgxEhMT8emnn6J+/fq4efMmzp49CwAYNmwYDh06hL179zIUEVVilvYYGYfcdLr87yUiUlK5Jl+7ublh4MCBGDhwoFz1EFEFYmkwKri5owNPcU1EKuBbDxHZjKVDaZxfRERqYzAiIpuxtseIwYiI1MJgREQ2wx4jIrI3DEZEZDPsMSIie8NgREQ2Y+wxsmbyNRGRGiwORhkZGcXuZH38+HFZCiKiisPYY8ShNCKyFxYFo++++w7169dHv3790LRpU+zbt8/0teHDh8teHBHZN2v3MWIwIiK1WBSM3n33XRw6dAhxcXGIiYnB6NGj8fXXXwMAJEmySYFEZL84+ZqI7I1FGzwaDAb4+/sDAFq1aoVdu3ZhwIABiI+Ph06ns0mBRGS/jD1GaWlAbm7ZmzYyGBGR2izqMapRowaOHDliul+9enXExsbi5MmThR4nIgLye4wAEY7KwmBERGqzKBitXr0aNWrUKPSYs7Mz1q1bh507d8paGBHZPze3/F4ic+YZMRgRkdosGkqrVatWiV/r2LFjuYshoorFeDLYlBTLghGX6xORWriPERHZlCVL9tljRERqs6jHyCg0NNSqydbR0dGYMGGCNS9JRHbKkiX7XK5PRGqzKhitWLHCqherU6eOVd9HRPbL3CX7WVnA/fviNoMREanFqmDUpUsXuesgogrK3B4j4zAawDlGRKQezjEiIpsy93xpxmDk6Qno9batiYioJIoFo4KnDyGiysPcydeceE1EWqBYMIqMjFTqpYhIQyztMeIwGhGpyao5RiUZNGhQsY9LkoTbt2/L+VJEZCfYY0RE9kTWYLR161asXr0ansZ3wjySJGHXrl1yvhQR2QlLJ18zGBGRmmQNRl27doWXlxc6d+5c5GtNmzaV86WIyE6Yu1yfexgRkRbIGoy+//77Er8WGxsr50sRkZ0wt8fIGIw4x4iI1MRVaURkU+ZOvk5PF9fu7rath4ioNFyVRkQ2Ze7k64wMcc1gRERq4qo0IrIpS3uM3NxsWw8RUWm4Ko2IbIo9RkRkT7gqjYhsytzJ15xjRERawFVpRGRTHEojInti9eTr48ePIz4+Xs5aiKgCMvYYZWYCBkPJz+NQGhFpgdXBaNKkSfj8888LPfZ///d/GDZsGCZOnIgLFy6UtzaLzJkzBx06dIC7uzuqVq1a7HN0Ol2RyzfffKNonUSVTcEph6X1GrHHiIi0wOpg9Pfff+OZZ54x3T958iQGDBiAnTt3Ys2aNWjbti2uXr0qS5HmyMrKQmRkJF588cVSnxcTE4PExETT5amnnlKmQKJKytlZXIDSJ2Czx4iItMDqYJScnIzg4GDT/VWrViEsLAwXL17ElStX0KxZM7z//vuyFGmOWbNmYeLEiWjSpEmpz6tatSoCAgJMF1dXV4UqJKq8zJlnxB4jItICqydf16pVC4mJiahduzYAYNu2bYiMjIRer4der8f06dPx0ksvyVaoXMaPH48xY8YgLCwM48aNw8iRI6HT6Yp9bmZmJjIzM033U/LOWWAwGGAobbKEFYzHk/u4FRHbynxaaStPT0fcuqXDnTvZMBikYp+TkeEIQAcnJ0Opc5FsRSttZQ/YVuZjW1nGVu1lyfGsDkY9evTA4sWLsX79ely8eBGHDx/GokWLTF+vW7cuLl++bO3hbeKdd95B9+7d4e7uji1btuCll15CamoqJkyYUOzz586di1mzZhV5fMuWLXC3UX8/V++Zj21lPrXbSpK6AfDGtm37cPPmzWKfk5zcB4AzDh7chcTEMpaw2ZDabWVP2FbmY1tZRu72Sjd2SZtBJ0lS8R/fypCQkIAWLVrA09MT9+/fh4uLC/755x9T78v+/fvRv39/XLt2zZrDAwCmTZuGefPmlfqckydPIjw83HR/xYoViI6Oxt27d8s8/owZMxATE1NigCuuxyg4OBg3b96Et8xnujQYDIiNjUXPnj3h5OQk67ErGraV+bTSVp066bFvnwO++y4bTzxR/FuOl5cjMjN1iI83IK8jWlFaaSt7wLYyH9vKMrZqr5SUFPj6+iI5ObnMv99W9xjVrFkTBw4cwMcff4y7d+/i5ZdfLjQktX37djRo0MDawwMAJk+ejKioqFKfExYWZvXx27Vrh9mzZyMzMxMuLi5Fvu7i4lLs405OTjb7AbflsSsatpX51G4r4xyjjAxHFFdGTo5Yzg8AVao4FfscpajdVvaEbWU+tpVl5G4vS45Vrg0eQ0JCCg2fFXTixIlCq9as4efnBz8/v3IdozRxcXGoVq1aseGHiORT1uRr44o0gJOviUhdsu58XdCqVatsdehiXbp0Cbdv38alS5eQk5ODuLg4AEC9evXg6emJn376CdeuXcMjjzwCV1dXxMbG4r333sOUKVMUrZOoMirrfGkMRkSkFVYFo9DQ0BJXcpUmOjq6xInO5TVjxgysXLnSdL9FixYAgB07dqBr165wcnLCZ599hokTJ0KSJNSrVw+LFy/G2LFjbVIPEeUrq8fIOC/SxQVwsHoTESKi8rMqGK1YscKqF6tTp45V32eOFStWlFpX79690bt3b5u9PhGVrKwTyXJzRyLSCquCUZcuXeSug4gqMA8PcV1WjxGH0YhIbey0JiKbM24wX2D3i0LYY0REWsFgREQ2ZwxG9+8X/3VjjxGDERGpjcGIiGzOuCNGWT1GHEojIrUxGBGRzbHHiIjsBYMREdmcucGIPUZEpDYGIyKyOXOH0thjRERqYzAiIptjjxER2QsGIyKyubKCEXuMiEgrGIyIyOY4+ZqI7AWDERHZHJfrE5G9YDAiIptjjxER2QsGIyKyOXPnGLHHiIjUxmBERDZX1lAae4yISCsYjIjI5ow9Rjk5QHZ20a9zuT4RaQWDERHZnDEYAcUPp3G5PhFpBYMREdmccSgNKH44jT1GRKQVDEZEZHN6PeDoKG6zx4iItIzBiIgUUdrKNE6+JiKtYDAiIkWUFoy4XJ+ItILBiIgUUdqSffYYEZFWMBgRkSLYY0RE9oDBiIgUUVIwMhjEBWCPERGpj8GIiBRR0lCasbcIYI8REamPwYiIFFFSj1HBYFRwI0giIjUwGBGRIkoKRgU3d9TplK2JiOhBDEZEpAhjMCppKI3zi4hICxiMiEgRxjlGJfUYMRgRkRYwGBGRIsqaY8SJ10SkBQxGRKSIsuYYsceIiLSAwYiIFFHWcn32GBGRFjAYEZEi2GNERPaAwYiIFGHOcn0iIrUxGBGRIsoaSmOPERFpAYMRESmCQ2lEZA8YjIhIEVyuT0T2gMGIiBRR0s7X7DEiIi1hMCIiRZS08zV7jIhISxiMiEgRnGNERPaAwYiIFME5RkRkDxiMiEgRJS3XZ48REWkJgxERKYIbPBKRPWAwIiJFlBSMjD1Ixq8TEamJwYiIFFHSUFpWlrh2dla2HiKi4jAYEZEiSuoxMgYjY3AiIlITgxERKaKsoTT2GBGRFjAYEZEiStr5mkNpRKQlDEZEpAjjUJnBAOTk5D9uDEocSiMiLWAwIiJFFFx1VrDXiD1GRKQlDEZEpIiCwajgPCNOviYiLWEwIiJFODoCDnnvOAV7jDj5moi0hMGIiBRT3Mo0DqURkZYwGBGRYh4MRrm5YjI2wKE0ItIGBiMiUsyDu18bQxHAHiMi0gYGIyJSzIM9RsZhNIA9RkSkDQxGRKSYB4NRwUnYTk7K10NE9KAKEYwuXLiA0aNHIzQ0FG5ubqhbty5mzpyJrIIfRwEcOXIEnTp1gqurK4KDgzF//nyVKiaqnB7c/dr4K6rXiwsRkdoc1S5ADqdOnUJubi6++OIL1KtXD8eOHcPYsWORlpaGhQsXAgBSUlIQERGBHj16YOnSpTh69ChGjRqFqlWr4vnnn1f5X0BUORiHyx7sMeIwGhFpRYUIRr1790bv3r1N98PCwnD69GksWbLEFIzWrl2LrKwsLF++HM7OzmjcuDHi4uKwePFiBiMihZQ0x4gTr4lIKypEMCpOcnIyqlevbrq/d+9edO7cGc4F3oF79eqFefPm4c6dO6hWrVqRY2RmZiKzwCSIlJQUAIDBYICh4HIaGRiPJ/dxKyK2lfm01lYuLnoADkhNzYbBICEtDQCc4OIiwWDIVrU2rbWVlrGtzMe2soyt2suS41XIYBQfH49PPvnE1FsEAElJSQgNDS30PH9/f9PXigtGc+fOxaxZs4o8vmXLFri7u8tctRAbG2uT41ZEbCvzaaWt7txpCyAQhw4dg6/vRcTHVwXQBTk5GfjlF23UqJW2sgdsK/OxrSwjd3ulp6eb/VxNB6Np06Zh3rx5pT7n5MmTCA8PN91PSEhA7969ERkZibFjx5br9adPn45JkyaZ7qekpCA4OBgRERHw9vYu17EfZDAYEBsbi549e8KJy3NKxbYyn9baau1aPfbvB+rXb4K+fRtj714dAKBKFTf07dtX1dq01lZaxrYyH9vKMrZqL+OIjzk0HYwmT56MqKioUp8TFhZmun316lV069YNHTp0wLJlywo9LyAgANeuXSv0mPF+QEBAscd2cXGBSzGzQp2cnGz2A27LY1c0bCvzaaWtjB2tBoMeTk565OSI+y4uOk3UB2inrewB28p8bCvLyN1elhxL08HIz88Pfn5+Zj03ISEB3bp1Q6tWrRATEwMHh8I7EbRv3x5vvPEGDAaDqYFiY2PRsGHDYofRiEh+JS3X5+RrItKKCrGPUUJCArp27YratWtj4cKFuHHjBpKSkpCUlGR6ztChQ+Hs7IzRo0fj+PHjWL9+PT766KNCQ2VEZFsPLtc3BiMu1ycirdB0j5G5YmNjER8fj/j4eNSqVavQ1yRJAgBUqVIFW7Zswfjx49GqVSv4+vpixowZXKpPpKCSdr5mjxERaUWFCEZRUVFlzkUCgKZNm2L37t22L4iIisWhNCLSugoxlEZE9oE7XxOR1jEYEZFiuPM1EWkdgxERKaakYMQeIyLSCgYjIlKMMQAZh9A4+ZqItIbBiIgUw6E0ItI6BiMiUkxJy/U5lEZEWsFgRESK4XJ9ItI6BiMiUgx3viYirWMwIiLFuLmJ6/R0cc3J10SkNQxGRKQYd3dxnZEhrjmURkRaw2BERIoxBqMHe4w4lEZEWsFgRESKeTAYsceIiLSGwYiIFOPhIa6zsoDsbE6+JiLtYTAiIsUYe4wA0WvEyddEpDUMRkSkGBcXQKcTt9PTOZRGRNrDYEREitHpCs8z4uRrItIaBiMiUlTBYMQeIyLSGgYjIlKUMRilpXHyNRFpD4MRESnKuDKNk6+JSIsYjIhIURxKIyItYzAiIkVx8jURaRmDEREpij1GRKRlDEZEpChOviYiLWMwIiJFFTeUxh4jItIKBiMiUlTBVWkcSiMirWEwIiJFGXuMUlMBg0Hc5lAaEWkFgxERKcoYjJKT8x9jjxERaQWDEREpyhiM7tzJf4w9RkSkFQxGRKSo4oKRk5M6tRARPYjBiIgUZZx8ffeuuNbrxYWISAsYjIhIUQ/2GHEYjYi0hMGIiBRlDEbGHiNOvCYiLWEwIiJFPRiM2GNERFrCYEREijIGo5wccc0eIyLSEgYjIlKUMRgZMRgRkZYwGBGRooyr0ow4lEZEWsJgRESKYo8REWkZgxERKerBYMQeIyLSEgYjIlIUe4yISMsYjIhIUa6uhe8zGBGRljAYEZGiHBwAN7f8+xxKIyItYTAiIsUVXJnGHiMi0hIGIyJSXMF5RuwxIiItYTAiIsUVDEbsMSIiLWEwIiLFMRgRkVYxGBGR4jiURkRaxWBERIrj5Gsi0ioGIyJSHHuMiEirGIyISHGcY0REWsVgRESKYzAiIq1iMCIixXEojYi0isGIiBTHHiMi0ioGIyJSXMFVaewxIiItYTAiIsWxx4iItIrBiIgUx2BERFrFYEREiuPkayLSqgoRjC5cuIDRo0cjNDQUbm5uqFu3LmbOnImsrKxCz9HpdEUuf/75p4qVE1VO7DEiIq1yVLsAOZw6dQq5ubn44osvUK9ePRw7dgxjx45FWloaFi5cWOi5W7duRePGjU33fXx8lC6XqNJjjxERaVWFCEa9e/dG7969TffDwsJw+vRpLFmypEgw8vHxQUBAgFnHzczMRGZmpul+SkoKAMBgMMBgMMhQeT7j8eQ+bkXEtjKfVtvKxUUH49uPg0M2DAZJ3YKg3bbSIraV+dhWlrFVe1lyvAoRjIqTnJyM6tWrF3n8iSeewP3799GgQQO89tpreOKJJ0o8xty5czFr1qwij2/ZsgXuBT/yyig2NtYmx62I2Fbm01pbxcdXBdAFAHDo0F5kZNxWtZ6CtNZWWsa2Mh/byjJyt1d6errZz9VJkqT+RzWZxcfHo1WrVli4cCHGjh0LALh58yZWrVqFjh07wsHBARs2bMD8+fOxcePGEsNRcT1GwcHBuHnzJry9vWWt2WAwIDY2Fj179oSTk5Osx65o2Fbm02pbnTgBNG8u6tmzJxutW6v/NqTVttIitpX52FaWsVV7paSkwNfXF8nJyWX+/dZ0j9G0adMwb968Up9z8uRJhIeHm+4nJCSgd+/eiIyMNIUiAPD19cWkSZNM99u0aYOrV69iwYIFJQYjFxcXuBQzAcLJyclmP+C2PHZFw7Yyn9baqkqV/Nvu7o7QUGmaaystY1uZj21lGbnby5JjaToYTZ48GVFRUaU+JywszHT76tWr6NatGzp06IBly5aVefx27dqxe5NIBZx8TURapelg5OfnBz8/P7Oem5CQgG7duqFVq1aIiYmBg0PZOxHExcUhMDCwvGUSkYUKnhKEy/WJSEs0HYzMlZCQgK5duyIkJAQLFy7EjRs3TF8zrkBbuXIlnJ2d0aJFCwDA999/j+XLl+Orr75SpWaiyszNLf82gxERaUmFCEaxsbGIj49HfHw8atWqVehrBeeWz549GxcvXoSjoyPCw8Oxfv16DBw4UOlyiSo9Bwdg2DAgMREIClK7GiKifBUiGEVFRZU5F2nEiBEYMWKEMgURUZnWrFG7AiKioirEKUGIiIiI5MBgRERERJSHwYiIiIgoD4MRERERUR4GIyIiIqI8DEZEREREeRiMiIiIiPIwGBERERHlYTAiIiIiysNgRERERJSHwYiIiIgoD4MRERERUR4GIyIiIqI8DEZEREREeRzVLsCeSJIEAEhJSZH92AaDAenp6UhJSYGTk5Psx69I2FbmY1uZj21lPraV+dhWlrFVexn/bhv/jpeGwcgC9+7dAwAEBwerXAkRERFZ6t69e6hSpUqpz9FJ5sQnAgDk5ubi6tWr8PLygk6nk/XYKSkpCA4OxuXLl+Ht7S3rsSsatpX52FbmY1uZj21lPraVZWzVXpIk4d69ewgKCoKDQ+mziNhjZAEHBwfUqlXLpq/h7e3NXx4zsa3Mx7YyH9vKfGwr87GtLGOL9iqrp8iIk6+JiIiI8jAYEREREeVhMNIIFxcXzJw5Ey4uLmqXonlsK/OxrczHtjIf28p8bCvLaKG9OPmaiIiIKA97jIiIiIjyMBgRERER5WEwIiIiIsrDYERERESUh8FIRW+//TZ0Ol2hS3h4uNplaVZCQgKeffZZ+Pj4wM3NDU2aNMHBgwfVLkuT6tSpU+RnS6fTYfz48WqXpjk5OTl46623EBoaCjc3N9StWxezZ88265xKldG9e/cQHR2NkJAQuLm5oUOHDjhw4IDaZalu165d6N+/P4KCgqDT6bBx48ZCX5ckCTNmzEBgYCDc3NzQo0cPnD17Vp1iVVZWW33//feIiIiAj48PdDod4uLiFK2PwUhljRs3RmJiouny+++/q12SJt25cwcdO3aEk5MTfv31V5w4cQKLFi1CtWrV1C5Nkw4cOFDo5yo2NhYAEBkZqXJl2jNv3jwsWbIEn376KU6ePIl58+Zh/vz5+OSTT9QuTZPGjBmD2NhYrF69GkePHkVERAR69OiBhIQEtUtTVVpaGpo1a4bPPvus2K/Pnz8fH3/8MZYuXYp9+/bBw8MDvXr1wv379xWuVH1ltVVaWhoeffRRzJs3T+HK8kikmpkzZ0rNmjVTuwy78Prrr0uPPvqo2mXYrVdffVWqW7eulJubq3YpmtOvXz9p1KhRhR57+umnpWHDhqlUkXalp6dLer1e+vnnnws93rJlS+mNN95QqSrtASD98MMPpvu5ublSQECAtGDBAtNjd+/elVxcXKR169apUKF2PNhWBZ0/f14CIP3111+K1sQeI5WdPXsWQUFBCAsLw7Bhw3Dp0iW1S9Kk//3vf2jdujUiIyNRo0YNtGjRAl9++aXaZdmFrKwsrFmzBqNGjZL95McVQYcOHbBt2zacOXMGAPD333/j999/R58+fVSuTHuys7ORk5MDV1fXQo+7ubmxt7sU58+fR1JSEnr06GF6rEqVKmjXrh327t2rYmVUHAYjFbVr1w4rVqzApk2bsGTJEpw/fx6dOnXCvXv31C5Nc/755x8sWbIE9evXx+bNm/Hiiy9iwoQJWLlypdqlad7GjRtx9+5dREVFqV2KJk2bNg3/+te/EB4eDicnJ7Ro0QLR0dEYNmyY2qVpjpeXF9q3b4/Zs2fj6tWryMnJwZo1a7B3714kJiaqXZ5mJSUlAQD8/f0LPe7v72/6GmmHo9oFVGYFP5E2bdoU7dq1Q0hICL799luMHj1axcq0Jzc3F61bt8Z7770HAGjRogWOHTuGpUuXYsSIESpXp23/+c9/0KdPHwQFBaldiiZ9++23WLt2Lb7++ms0btwYcXFxiI6ORlBQEH+2irF69WqMGjUKNWvWhF6vR8uWLTFkyBAcOnRI7dKIZMEeIw2pWrUqGjRogPj4eLVL0ZzAwEA0atSo0GMPPfQQhx7LcPHiRWzduhVjxoxRuxTNmjp1qqnXqEmTJhg+fDgmTpyIuXPnql2aJtWtWxc7d+5EamoqLl++jP3798NgMCAsLEzt0jQrICAAAHDt2rVCj1+7ds30NdIOBiMNSU1Nxblz5xAYGKh2KZrTsWNHnD59utBjZ86cQUhIiEoV2YeYmBjUqFED/fr1U7sUzUpPT4eDQ+G3Qr1ej9zcXJUqsg8eHh4IDAzEnTt3sHnzZjz55JNql6RZoaGhCAgIwLZt20yPpaSkYN++fWjfvr2KlVFxOJSmoilTpqB///4ICQnB1atXMXPmTOj1egwZMkTt0jRn4sSJ6NChA9577z0MGjQI+/fvx7Jly7Bs2TK1S9Os3NxcxMTEYMSIEXB05K96Sfr37485c+agdu3aaNy4Mf766y8sXrwYo0aNUrs0Tdq8eTMkSULDhg0RHx+PqVOnIjw8HCNHjlS7NFWlpqYW6u0/f/484uLiUL16ddSuXRvR0dF49913Ub9+fYSGhuKtt95CUFAQnnrqKfWKVklZbXX79m1cunQJV69eBQDTh+KAgABletgUXQNHhQwePFgKDAyUnJ2dpZo1a0qDBw+W4uPj1S5Ls3766Sfp4YcfllxcXKTw8HBp2bJlapekaZs3b5YASKdPn1a7FE1LSUmRXn31Val27dqSq6urFBYWJr3xxhtSZmam2qVp0vr166WwsDDJ2dlZCggIkMaPHy/dvXtX7bJUt2PHDglAkcuIESMkSRJL9t966y3J399fcnFxkR577LFK+7tZVlvFxMQU+/WZM2cqUp9Okri9KxERERHAOUZEREREJgxGRERERHkYjIiIiIjyMBgRERER5WEwIiIiIsrDYERERESUh8GIiIiIKA+DEREREVEeBiMiIhvJyspCvXr1sGfPHtVqmDZtGl555RXVXp/I3jAYEZFZoqKioNPpilwKnvOIClu6dClCQ0PRoUOHQo/v2LEDjz/+OPz8/ODq6oq6deti8ODB2LVrl+k5v/32G3Q6He7evVvkuHXq1MGHH35oVg1TpkzBypUr8c8//5Tnn0JUaTAYEZHZevfujcTExEKX0NDQIs/LyspSoTptkSQJn376KUaPHl3o8c8//xyPPfYYfHx8sH79epw+fRo//PADOnTogIkTJ8peh6+vL3r16oUlS5bIfmyiiojBiIjM5uLiYjrDtfGi1+vRtWtXvPzyy4iOjjb9IQaAY8eOoU+fPvD09IS/vz+GDx+Omzdvmo6XlpaG5557Dp6enggMDMSiRYvQtWtXREdHm56j0+mwcePGQnVUrVoVK1asMN2/fPkyBg0ahKpVq6J69ep48sknceHCBdPXo6Ki8NRTT2HhwoUIDAyEj48Pxo8fD4PBYHpOZmYmXn/9dQQHB8PFxQX16tXDf/7zH0iShHr16mHhwoWFaoiLiyu1x+zQoUM4d+4c+vXrZ3rs0qVLiI6ORnR0NFauXInu3bsjJCQETZs2xauvvoqDBw+a+19hsmLFimJ78t5++23Tc/r3749vvvnG4mMTVUYMRkQki5UrV8LZ2Rl//PEHli5dirt376J79+5o0aIFDh48iE2bNuHatWsYNGiQ6XumTp2KnTt34scff8SWLVvw22+/4fDhwxa9rsFgQK9eveDl5YXdu3fjjz/+gKenJ3r37l2o52rHjh04d+4cduzYgZUrV2LFihWFwtVzzz2HdevW4eOPP8bJkyfxxRdfwNPTEzqdDqNGjUJMTEyh142JiUHnzp1Rr169YuvavXs3GjRoAC8vL9NjGzZsgMFgwGuvvVbs9+h0Oov+7QAwePDgQj1469atg6OjIzp27Gh6Ttu2bXHlypVCYZGISiAREZlhxIgRkl6vlzw8PEyXgQMHSpIkSV26dJFatGhR6PmzZ8+WIiIiCj12+fJlCYB0+vRp6d69e5Kzs7P07bffmr5+69Ytyc3NTXr11VdNjwGQfvjhh0LHqVKlihQTEyNJkiStXr1aatiwoZSbm2v6emZmpuTm5iZt3rzZVHtISIiUnZ1tek5kZKQ0ePBgSZIk6fTp0xIAKTY2tth/e0JCgqTX66V9+/ZJkiRJWVlZkq+vr7RixYoS2+vVV1+VunfvXuixcePGSd7e3oUe++677wq16ZEjRyRJkqQdO3ZIAAp9zXjR6XTSBx98UOQ14+PjperVq0vz588v9HhycrIEQPrtt99KrJeIBEdVUxkR2ZVu3boVmqvi4eFhut2qVatCz/3777+xY8cOeHp6FjnOuXPnkJGRgaysLLRr1870ePXq1dGwYUOLavr7778RHx9fqGcGAO7fv49z586Z7jdu3Bh6vd50PzAwEEePHgUghsX0ej26dOlS7GsEBQWhX79+WL58Odq2bYuffvoJmZmZiIyMLLGujIwMuLq6Fnn8wV6hXr16IS4uDgkJCejatStycnIKfX337t1F/m1du3Ytctzk5GQ8/vjj6NevH6ZOnVroa25ubgCA9PT0EuslIoHBiIjM5uHhUeLQUcGQBACpqano378/5s2bV+S5gYGBZq9m0+l0kCSp0GMF5walpqaiVatWWLt2bZHv9fPzM912cnIqctzc3FwA+cGhNGPGjMHw4cPxwQcfICYmBoMHD4a7u3uJz/f19TUFL6P69esjOTkZSUlJCAgIAAB4enqiXr16cHQs/u04NDQUVatWLfTYg8/NycnB4MGD4e3tjWXLlhU5xu3btwEUbg8iKh7nGBGRTbRs2RLHjx9HnTp1UK9evUIXDw8P1K1bF05OTti3b5/pe+7cuYMzZ84UOo6fnx8SExNN98+ePVuo56Nly5Y4e/YsatSoUeR1qlSpYlatTZo0QW5uLnbu3Fnic/r27QsPDw8sWbIEmzZtwqhRo0o9ZosWLXDq1KlCoW7gwIFwcnIqNiyWx8SJE3H06FFs3Lix2F6qY8eOwcnJCY0bN5b1dYkqIgYjIrKJ8ePH4/bt2xgyZAgOHDiAc+fOYfPmzRg5ciRycnLg6emJ0aNHY+rUqdi+fTuOHTuGqKgoODgUflvq3r07Pv30U/z11184ePAgxo0bV6j3Z9iwYfD19cWTTz6J3bt34/z58/jtt98wYcIEXLlyxaxa69SpgxEjRmDUqFHYuHGj6Rjffvut6Tl6vR5RUVGYPn066tevj/bt25d6zG7duiE1NRXHjx83PVa7dm0sWrQIH330EUaMGIEdO3bgwoULOHz4MD7++GPT61giJiYGn3/+OZYuXQqdToekpCQkJSUhNTXV9Jzdu3ejU6dOZvWMEVV2DEZEZBNBQUH4448/kJOTg4iICDRp0gTR0dGoWrWqKfwsWLAAnTp1Qv/+/dGjRw88+uijReYqLVq0CMHBwejUqROGDh2KKVOmFBrCcnd3x65du1C7dm08/fTTeOihhzB69Gjcv38f3t7eZte7ZMkSDBw4EC+99BLCw8MxduxYpKWlFXrO6NGjkZWVhZEjR5Z5PB8fHwwYMKDIEN8rr7yCLVu24MaNGxg4cCDq16+Pvn374vz589i0aROaNGlids0AsHPnTuTk5OCJJ55AYGCg6VJwe4FvvvkGY8eOtei4RJWVTnpw8J6ISEVdu3ZF8+bNzd7ZWUm7d+/GY489hsuXL8Pf37/M5x85cgQ9e/bEuXPnip2EroRff/0VkydPxpEjR0qcx0RE+dhjRERUhszMTFy5cgVvv/02IiMjzQpFANC0aVPMmzcP58+ft3GFJUtLS0NMTAxDEZGZ+JtCRFSGdevWYfTo0WjevDlWrVpl0fdGRUXZpigzDRw4UNXXJ7I3HEojIiIiysOhNCIiIqI8DEZEREREeRiMiIiIiPIwGBERERHlYTAiIiIiysNgRERERJSHwYiIiIgoD4MRERERUZ7/Bw3aiBr+JNGiAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot S11dB\n",
    "fig, ax = plt.subplots()\n",
    "ax.plot(\n",
    "    freqs / 1e9,\n",
    "    S11dB,\n",
    "    \"-b\",\n",
    ")\n",
    "ax.set_xlabel(\"Frequency (GHz)\")\n",
    "ax.set_ylabel(\"$|S_{11}|^2$ (dB)\")\n",
    "ax.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The first and second resonances are clearly visible in the S11 spectrum. Let's examine the field profile next. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Field Distributions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The dictionary stored in the `data` attribute of the `TerminalComponentModelerData` instance contains all the monitor data. Use the respective port name as the dictionary key to access the data associated with the desired port excitation. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get simulation data associated with the lumped port excitation\n",
    "sim_data = tcm_data.data[\"lumped_port\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Below, we plot the fields at the first two resonances. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1100x400 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot field monitor data\n",
    "f, (ax1, ax2) = plt.subplots(1, 2, figsize=(11, 4))\n",
    "sim_data.plot_field(\n",
    "    field_monitor_name=\"field\", field_name=\"Ez\", val=\"abs\", f=freqs_target[0], ax=ax1\n",
    ")\n",
    "ax1.set_xlim([-10 * mm, 10 * mm])\n",
    "ax1.set_ylim([-20 * mm, 20 * mm])\n",
    "ax1.set_title(\"Electric field distribution at 7.5 GHz\")\n",
    "\n",
    "sim_data.plot_field(\n",
    "    field_monitor_name=\"field\", field_name=\"Ez\", val=\"abs\", f=freqs_target[1], ax=ax2\n",
    ")\n",
    "ax2.set_xlim([-10 * mm, 10 * mm])\n",
    "ax2.set_ylim([-20 * mm, 20 * mm])\n",
    "ax2.set_title(\"Electric field distribution at 10 GHz\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Impedance"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The antenna impedance can be calculated from S11. \n",
    "\n",
    "First, we need to de-embed S11 to account for the length of the feed line. The de-embedding calculation shifts the S11 reference plane from the location of the lumped port ($y = -20$ mm) to the end of the feed line where it connects to the patch ($y = 0$ mm). \n",
    "\n",
    "In general terms, the de-embedded S-parameter\n",
    "$$\n",
    "  S_\\text{de-embedded} = S\\exp(2jkL)\n",
    "$$\n",
    "where $S$ is the original S-parameter, $k$ is the waveguide wavenumber, and $L$ is the shift distance. For simplicity, we assume that the microstrip feed line has a constant effective permittivity of $1.9$ and characteristic impedance of $Z_0=50$ Ohms.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Wavenumber associated with microstrip feed line\n",
    "k_microstrip = 2 * np.pi * freqs * np.sqrt(1.9) / td.C_0\n",
    "\n",
    "# De-embedded S-parameter\n",
    "S11_deembedded = S11 * np.exp(1j * 2 * k_microstrip * feed_y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The antenna impedance can then be calculated using the de-embedded S11.\n",
    "\n",
    "$$ \n",
    "Z_\\text{ant} = Z_0 \\frac{1+S11_\\text{de-embedded}}{1-S11_\\text{de-embedded}}\n",
    "$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Antenna impedance\n",
    "Z_ant = 50 * (1 + S11_deembedded) / (1 - S11_deembedded)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's plot the antenna impedance near the first resonance. We observe a very good match with $Z_0$ at resonance. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot antenna impedance near first resonance f=7.5 Ghz\n",
    "fig, ax = plt.subplots()\n",
    "ax.plot(freqs / 1e9, np.real(Z_ant), label=\"Re Z\")\n",
    "ax.plot(freqs / 1e9, np.imag(Z_ant), label=\"Im Z\")\n",
    "ax.axline((7.5, -50), (7.5, 50), ls=\"--\", color=\"#555555\", label=\"f=7.5 GHz\")\n",
    "ax.set_xlim(7, 8)\n",
    "ax.set_ylim(-40, 60)\n",
    "ax.legend()\n",
    "ax.set_xlabel(\"f (GHz)\")\n",
    "ax.set_ylabel(\"Impedance (Ohms)\")\n",
    "ax.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Far-field Metrics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Directivity, gain and other commonly used antenna metrics are automatically calculated when one or more `radiation_monitor` is defined. The user can obtain the far-field metrics by calling the `get_antenna_metrics_data()` method on the TCM data object. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get antenna metrics\n",
    "antenna_metrics = tcm_data.get_antenna_metrics_data()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Below, we list all of the available antenna far-field metrics for the user's reference. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "# The available antenna metrics quantities are listed below:\n",
    "\n",
    "# Directivity\n",
    "directivity = antenna_metrics.directivity\n",
    "\n",
    "# Radiation efficiency: efficiency accounting for material losses\n",
    "radiation_efficiency = antenna_metrics.radiation_efficiency\n",
    "\n",
    "# Gain: radiation efficiency * directivity\n",
    "gain = antenna_metrics.gain\n",
    "\n",
    "# Reflection efficiency: efficiency accounting for impedance mismatch\n",
    "reflection_efficiency = antenna_metrics.reflection_efficiency\n",
    "\n",
    "# Realized gain: reflection efficiency * gain\n",
    "realized_gain = antenna_metrics.realized_gain\n",
    "\n",
    "# Supplied power: power supplied to antenna\n",
    "supplied_power = antenna_metrics.supplied_power\n",
    "\n",
    "# Radiated power: power radiated by antenna\n",
    "radiated_power = antenna_metrics.radiated_power\n",
    "\n",
    "# Radiation intensity: radiated intensity as a function of angle\n",
    "radiation_intensity = antenna_metrics.radiation_intensity\n",
    "\n",
    "# Axial ratio: ratio of major axis to minor axis of polarization ellipse\n",
    "axial_ratio = antenna_metrics.axial_ratio\n",
    "\n",
    "# Left and right circular polarization field components\n",
    "left_polarization = antenna_metrics.left_polarization\n",
    "right_polarization = antenna_metrics.right_polarization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the following sections, we will demonstrate how to plot the gain and axial ratio. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Antenna Gain"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's plot the gain at the first resonance (f=7.5 GHz). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot gain in elevation plane at f=7.5 GHz\n",
    "\n",
    "# First, extract gain data in the forward and backward directions\n",
    "gain_F = gain.sel(f=freqs_target[0], phi=0, method=\"nearest\").squeeze()\n",
    "gain_B = gain.sel(f=freqs_target[0], phi=-np.pi, method=\"nearest\").squeeze()\n",
    "\n",
    "# Create plot\n",
    "fig = plt.figure(figsize=(8, 6), tight_layout=True)\n",
    "ax = fig.add_subplot(111, projection=\"polar\")\n",
    "\n",
    "# Plot gain in dB\n",
    "ax.set_theta_direction(-1)\n",
    "ax.set_theta_offset(np.pi / 2.0)\n",
    "ax.plot(theta, 20 * np.log10(np.abs(gain_F)), \"-b\")\n",
    "ax.plot(-theta, 20 * np.log10(np.abs(gain_B)), \"-b\")\n",
    "ax.set_title(\"Antenna Gain (dB) in XZ plane\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot gain in azimuthal plane at f=7.5 GHz\n",
    "\n",
    "# Extract gain in azimuthal plane\n",
    "gain_azi = gain.sel(f=freqs_target[0], theta=np.pi / 2, method=\"nearest\").squeeze()\n",
    "\n",
    "# Create plot\n",
    "fig = plt.figure(figsize=(8, 6), tight_layout=True)\n",
    "ax = fig.add_subplot(111, projection=\"polar\")\n",
    "\n",
    "# Plot gain in dB\n",
    "ax.plot(phi, 20 * np.log10(np.abs(gain_azi)), \"-b\")\n",
    "ax.set_title(\"Antenna Gain (dB) in XY plane\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also create a 3D plot of the gain. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Activate interactive plotting (useful for 3D)\n",
    "# Requires ipympl library to be installed (comment line below if requirement not met)\n",
    "%matplotlib widget"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6761bb0a15b24e0a997ea67e3678bfa2",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": 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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img 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' width=640.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create figure and axes\n",
    "fig_3d = plt.figure()\n",
    "ax_3d = fig_3d.add_subplot(1, 1, 1, projection=\"3d\")\n",
    "limits = 1.0\n",
    "ax_3d.set_xlim(-limits, limits)\n",
    "ax_3d.set_ylim(-limits, limits)\n",
    "ax_3d.set_zlim(-limits, limits)\n",
    "ax_3d.set_xticks([])\n",
    "ax_3d.set_yticks([])\n",
    "ax_3d.set_zticks([])\n",
    "ax_3d.set_xlabel(\"x\")\n",
    "ax_3d.set_ylabel(\"y\")\n",
    "ax_3d.set_zlabel(\"z\")\n",
    "\n",
    "# Rescale gain according to max and min dB values\n",
    "dB_min, dB_max = (-40, 20)\n",
    "G = 20 * np.log10(np.abs(gain.sel(f=7.5e9, method=\"nearest\").squeeze()))\n",
    "G_scaled = np.clip((G - dB_min) / (dB_max - dB_min), a_min=0, a_max=1)\n",
    "\n",
    "# Create 3D dataset according to scaled gain\n",
    "phi_s, theta_s = np.meshgrid(phi, theta)\n",
    "X = G_scaled * np.cos(phi_s) * np.sin(theta_s)\n",
    "Y = G_scaled * np.sin(phi_s) * np.sin(theta_s)\n",
    "Z = G_scaled * np.cos(theta_s)\n",
    "\n",
    "# Select color map\n",
    "color_map = plt.cm.jet\n",
    "\n",
    "# Plot surface\n",
    "surf = ax_3d.plot_surface(\n",
    "    X,\n",
    "    Y,\n",
    "    Z,\n",
    "    cstride=2,\n",
    "    rstride=2,\n",
    "    facecolors=color_map(G_scaled),\n",
    ")\n",
    "\n",
    "# Plot color bar\n",
    "cbar = fig_3d.colorbar(\n",
    "    plt.cm.ScalarMappable(norm=colors.Normalize(vmax=dB_max, vmin=dB_min), cmap=color_map),\n",
    "    ax=ax_3d,\n",
    "    label=\"G (dB)\",\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Close 3D figure and deactivate interactive plotting\n",
    "plt.close(fig_3d)\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Axial Ratio"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's plot the axial ratio vs frequency for the main lobe (phi, theta = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Extract axial ratio at main lobe\n",
    "axial_ratio_main_lobe = axial_ratio.sel(theta=0, phi=0, method=\"nearest\").squeeze()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot main lobe axial ratio vs frequency\n",
    "fig, ax = plt.subplots()\n",
    "ax.plot(freqs / 1e9, 10 * np.log10(axial_ratio_main_lobe))\n",
    "ax.grid()\n",
    "ax.set_xlabel(\"f (GHz)\")\n",
    "ax.set_ylabel(\"Axial ratio (dB)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that the axial ratio is capped during post-processing at a maximum value of 100, i.e. radiation is effectively linearly polarized. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Reference\n",
    "\n",
    "[1] Sheen, D.M., Ali, S.M., Abouzahra, M.D. and Kong, J.A., 1990. Application of the three-dimensional finite-difference time-domain method to the analysis of planar microstrip circuits. IEEE Transactions on microwave theory and techniques, 38(7), pp.849-857.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "description": "Patch antennas are widely used in wireless communication applications due to their simple design, ease of fabrication, and low profile. In this notebook, we will demonstrate how to use Tidy3D to simulate a rectangular patch antenna and compute key performance metrics. These include S-parameters using the TerminalComponentModeler, as well as directivity, axial ratio, and polarized far-field components using the DirectivityMonitor.",
  "feature_image": "./img/PatchAntenna.png",
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "keywords": "patch antenna, directivity, axial ratio, S-parameters, 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": "3.11.13"
  },
  "title": "How to compute directivity and S-parameters of patch antenna using Tidy3D FDTD"
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
