{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Defining a total-field scattered-field (TFSF) plane wave source\n",
    "\n",
    "This tutorial demonstrates the use of the [total-field scattered-field (TFSF) source](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.TFSF.html) in `Tidy3D`.\n",
    "\n",
    "The TFSF source allows specifying a box region into which a plane wave is injected. Fields inside this region can be interpreted as the superposition of the incident field and the scattered field due to any scatterers present in the simulation domain. The fields at the edges of the TFSF box are modified at each time step such that the incident field is cancelled out, so that all fields _outside_ the TFSF box are scattered fields only. This is useful in scenarios where one is interested in computing scattered fields only, for example when computing scattered cross sections of various objects. For an application example of radar cross section calculation using the TFSF technique, see [this notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/Near2FarSphereRCS/).\n",
    "\n",
    "In this notebook, various situations in which the TFSF source can be applied will be discussed through several examples, including the use of finite- or infinite-extent TFSF regions, angled plane wave injection, and layered substrates.\n",
    "\n",
    "Note that unlike standard `Tidy3D` [PlaneWave sources](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.PlaneWave.html), the [TFSF source](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.TFSF.html) injects $1 \\mathrm{W}\\mu\\mathrm{m}^{-2}$ of power in the TFSF source injection axis (note: this is **different** from the direction of propagation of the plane wave for angled incidence). This allows computing scattering and absorption cross sections without the need for additional normalization. For example, see [this notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/Near2FarSphereRCS/) for radar cross section validation, and [this notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/PlasmonicNanoparticle/) for absorption by a plasmonic nanoparticle.\n",
    "\n",
    "If you are new to the finite-difference time-domain (FDTD) method, we highly recommend going through our [FDTD101](https://www.flexcompute.com/fdtd101/) tutorials. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# standard python imports\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "# tidy3d imports\n",
    "import tidy3d as td\n",
    "import tidy3d.web as web"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Simulation setup\n",
    "Here we define the basic simulation parameters that will be used throughout this notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# basic simulation parameters\n",
    "sim_size = (6, 6, 8)  # um\n",
    "wavelength = 1.0  # um\n",
    "f0 = td.C_0 / wavelength  # Hz\n",
    "fwidth = f0 / 60.0  # Hz\n",
    "run_time = 20.0 / fwidth  # s\n",
    "\n",
    "# grid resolution\n",
    "cells_per_wvl = 10\n",
    "\n",
    "# time dependence of the sources used in this notebook\n",
    "source_time = td.GaussianPulse(freq0=f0, fwidth=fwidth)\n",
    "\n",
    "# simulation grid specification\n",
    "grid_spec = td.GridSpec.auto(min_steps_per_wvl=cells_per_wvl)\n",
    "\n",
    "# boundary conditions: PML on all sides\n",
    "boundary_spec = td.BoundarySpec.all_sides(td.PML())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Source definition"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We'll define a TFSF source region with angled injection similarly to the way in which any source in `Tidy3D` is defined."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# make the TFSF source specifying angled injection of a plane wave\n",
    "source = td.TFSF(\n",
    "    center=(0, 0, 0),\n",
    "    size=(4, 3, 4),\n",
    "    source_time=source_time,\n",
    "    injection_axis=2,  # inject along the z axis...\n",
    "    direction=\"+\",  # ...in the positive direction, i.e. along z+\n",
    "    name=\"tfsf1\",\n",
    "    pol_angle=0,\n",
    "    angle_theta=np.pi / 6,  # with respect to the injection plane's normal vector\n",
    "    angle_phi=np.pi / 5,  # with respect to the injection plane's normal vector\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Monitor definition\n",
    "We'll define a set of monitors to\n",
    "- measure the flux that is injected into the simulation and make sure it is properly normalized,\n",
    "- measure the flux outside the TFSF region to make sure the incident field does not escape out side the TFSF region, and,\n",
    "- visualize the fields on cross sectional cuts through the simulation domain."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# make a box flux monitor surrounding the source to measure the flux escaping the TFSF box\n",
    "monitor_out = td.FluxMonitor(\n",
    "    center=source.center,\n",
    "    size=[size * 1.2 for size in source.size],\n",
    "    freqs=[f0],\n",
    "    name=\"flux_out\",\n",
    ")\n",
    "\n",
    "# make a surface flux monitor across the simulation domain to measure the total injected flux\n",
    "monitor_inj = td.FluxMonitor(\n",
    "    center=source.center,\n",
    "    size=[td.inf, td.inf, 0],\n",
    "    freqs=[f0],\n",
    "    name=\"flux_inj\",\n",
    ")\n",
    "\n",
    "# make field monitors along each cardinal plane to look at the fields\n",
    "monitor_freq_xy = td.FieldMonitor(\n",
    "    center=[0, 0, 0],\n",
    "    size=[td.inf, td.inf, 0],\n",
    "    freqs=[f0],\n",
    "    name=\"freq_xy\",\n",
    ")\n",
    "\n",
    "monitor_freq_xz = td.FieldMonitor(\n",
    "    center=[0, 0, 0],\n",
    "    size=[td.inf, 0, td.inf],\n",
    "    freqs=[f0],\n",
    "    name=\"freq_xz\",\n",
    ")\n",
    "\n",
    "monitor_freq_yz = td.FieldMonitor(\n",
    "    center=[0, 0, 0],\n",
    "    size=[0, td.inf, td.inf],\n",
    "    freqs=[f0],\n",
    "    name=\"freq_yz\",\n",
    ")\n",
    "\n",
    "# collect all monitors together\n",
    "monitors = [monitor_out, monitor_inj, monitor_freq_xy, monitor_freq_xz, monitor_freq_yz]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Make simulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1100x400 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# make the simulation instance\n",
    "sim = td.Simulation(\n",
    "    size=sim_size,\n",
    "    grid_spec=grid_spec,\n",
    "    medium=td.Medium(),  # air is the background medium\n",
    "    structures=[],  # no structures\n",
    "    sources=[source],\n",
    "    monitors=monitors,\n",
    "    run_time=run_time,\n",
    "    boundary_spec=boundary_spec,\n",
    ")\n",
    "\n",
    "# visualize and check that everything was defined as expected\n",
    "_, ax = plt.subplots(1, 3, figsize=(11, 4))\n",
    "sim.plot(x=0, ax=ax[0])\n",
    "sim.plot(y=0, ax=ax[1])\n",
    "sim.plot(z=source.center[2] - source.size[2] / 2, ax=ax[2])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Run the simulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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\">18:41:21 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'tfsf1'</span> with task_id                                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-316778ae-d33e-408c-a0ad-605860df5e5b'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:41:21 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'tfsf1'\u001b[0m with task_id                                 \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-316778ae-d33e-408c-a0ad-605860df5e5b'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>View task using web UI at                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-316778ae-d33e-408c-a0ad-605860df5e5b\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-316778ae-d3</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-316778ae-d33e-408c-a0ad-605860df5e5b\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">3e-408c-a0ad-605860df5e5b'</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=101933;https://tidy3d.simulation.cloud/workbench?taskId=fdve-316778ae-d33e-408c-a0ad-605860df5e5b\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=753950;https://tidy3d.simulation.cloud/workbench?taskId=fdve-316778ae-d33e-408c-a0ad-605860df5e5b\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=101933;https://tidy3d.simulation.cloud/workbench?taskId=fdve-316778ae-d33e-408c-a0ad-605860df5e5b\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=905677;https://tidy3d.simulation.cloud/workbench?taskId=fdve-316778ae-d33e-408c-a0ad-605860df5e5b\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=101933;https://tidy3d.simulation.cloud/workbench?taskId=fdve-316778ae-d33e-408c-a0ad-605860df5e5b\u001b\\\u001b[32m-316778ae-d3\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=101933;https://tidy3d.simulation.cloud/workbench?taskId=fdve-316778ae-d33e-408c-a0ad-605860df5e5b\u001b\\\u001b[32m3e-408c-a0ad-605860df5e5b'\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/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" 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=762997;https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c139d8cd49d944efb7b3dc456feb5c09",
       "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\">18:41:24 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:41:24 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">18:41:25 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:41:25 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "10bd4ecd35984a429bba3b1d92ac58bc",
       "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\">18:41:31 CEST </span>loading simulation from data/tfsf1.hdf5                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:41:31 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from data/tfsf1.hdf5                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_data = web.run(sim, task_name=\"tfsf1\", path=\"data/tfsf1.hdf5\", verbose=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Flux results\n",
    "If $1 \\mathrm{W}\\mu\\mathrm{m}^{-2}$ is injected by the source, then the total injected flux captured should equal the area of the injection surface. To check that this is the case, we divide the computed injected flux by the area of the injection surface, and expect to obtain $1 \\mathrm{W}\\mu\\mathrm{m}^{-2}$. We notice that the actual number is close to 1, but only within 1.5% accuracy. The reason for this is that the TFSF box actually snaps to the nearest FDTD grid cells. So, the actual area over which the source is injected is slightly different from the analytical area computed using `source.size`.\n",
    "\n",
    "We notice that the flux escaping the box is about ten orders of magnitude lower than the injected flux, and therefore negligible, as expected."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "flux_inj per unit area:  1.0162636\n",
      "flux_box:  4.9347826e-10\n"
     ]
    }
   ],
   "source": [
    "# print the escaped and injected flux\n",
    "print(\n",
    "    \"flux_inj per unit area: \",\n",
    "    sim_data[\"flux_inj\"].flux.values[0] / source.size[0] / source.size[1],\n",
    ")\n",
    "print(\"flux_box: \", sim_data[\"flux_out\"].flux.values[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Field plots\n",
    "Here we'll visualize the frequency-domain fields and check that the plane wave is injected at the expected angle inside the TFSF box. As shown in the figures, the injected fields look correct inside the TFSF box, and are zero outside the box because there are no scatterers in this example."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x300 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# helper plot the fields for each cross section of the simulation for given simulation data\n",
    "def plot_results_freq(sim_data, field_name=\"Ex\", val=\"real\"):\n",
    "    \"\"\"Helper for plotting frequency domain fields.\"\"\"\n",
    "\n",
    "    _, (ax1, ax2, ax3) = plt.subplots(1, 3, tight_layout=True, figsize=(12, 3))\n",
    "\n",
    "    sim_data.plot_field(field_monitor_name=\"freq_xz\", field_name=field_name, val=val, f=f0, ax=ax1)\n",
    "    sim_data.plot_field(field_monitor_name=\"freq_yz\", field_name=field_name, val=val, f=f0, ax=ax2)\n",
    "    sim_data.plot_field(field_monitor_name=\"freq_xy\", field_name=field_name, val=val, f=f0, ax=ax3)\n",
    "    plt.show()\n",
    "\n",
    "\n",
    "plot_results_freq(sim_data, field_name=\"Ex\", val=\"real\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Infinite slab\n",
    "We can also make the TFSF box a slab which is infinite in the transverse directions ($x$ and $y$ in this example). However, in this case we must ensure that the boundary conditions in those directions are compatible with the injected plane wave. For angled incidence, this implies that Bloch periodic boundaries ([BlochBoundary](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.BlochBoundary.html)) must be used along $x$ and $y$. For normal incidence, either standard [Periodic](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Periodic.html) or Bloch boundaries can be used.\n",
    "\n",
    "**Important**: the TFSF box must not touch or protrude beyond the simulation domain along the injection axis. In this example, the TFSF box must not touch or go past the simulation domain in the $-z$ or $+z$ directions, because our `injection_axis` is `2`, i.e. $z$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# make a TFSF source infinite along x and y\n",
    "source = td.TFSF(\n",
    "    center=(0, 0, 0),\n",
    "    size=(td.inf, td.inf, 4),\n",
    "    source_time=source_time,\n",
    "    injection_axis=2,  # inject along the z axis...\n",
    "    direction=\"+\",  # ...in the positive direction, i.e. along z+\n",
    "    name=\"tfsf2\",\n",
    "    pol_angle=0,\n",
    "    angle_theta=np.pi / 4,\n",
    "    angle_phi=np.pi / 4,\n",
    ")\n",
    "\n",
    "# specify boundaries compatible with this source\n",
    "boundary_spec = td.BoundarySpec(\n",
    "    x=td.Boundary.bloch_from_source(source=source, domain_size=sim_size[0], axis=0),\n",
    "    y=td.Boundary.bloch_from_source(source=source, domain_size=sim_size[1], axis=1),\n",
    "    z=td.Boundary.pml(),\n",
    ")\n",
    "\n",
    "# make flux monitors above and below the source to measure the escaped flux\n",
    "center = [source.center[0], source.center[1], source.center[2]]\n",
    "center[source.injection_axis] += 1.2 * source.size[source.injection_axis] / 2.0\n",
    "monitor_above = td.FluxMonitor(\n",
    "    center=[\n",
    "        source.center[0],\n",
    "        source.center[1],\n",
    "        source.center[2] + 1.2 * source.size[2] / 2.0,\n",
    "    ],\n",
    "    size=[td.inf, td.inf, 0],\n",
    "    freqs=[f0],\n",
    "    name=\"flux_above\",\n",
    ")\n",
    "\n",
    "center = [source.center[0], source.center[1], source.center[2]]\n",
    "center[source.injection_axis] -= 1.2 * source.size[source.injection_axis] / 2.0\n",
    "monitor_below = td.FluxMonitor(\n",
    "    center=[\n",
    "        source.center[0],\n",
    "        source.center[1],\n",
    "        source.center[2] - 1.2 * source.size[2] / 2.0,\n",
    "    ],\n",
    "    size=[td.inf, td.inf, 0],\n",
    "    freqs=[f0],\n",
    "    name=\"flux_below\",\n",
    ")\n",
    "\n",
    "# collect all the monitors together again\n",
    "monitors = [\n",
    "    monitor_above,\n",
    "    monitor_below,\n",
    "    monitor_inj,\n",
    "    monitor_freq_xy,\n",
    "    monitor_freq_xz,\n",
    "    monitor_freq_yz,\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Make simulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1100x400 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# update the simulation object with the new source, boundaries, and monitors\n",
    "sim = sim.copy(\n",
    "    update={\n",
    "        \"sources\": [source],\n",
    "        \"boundary_spec\": boundary_spec,\n",
    "        \"monitors\": monitors,\n",
    "    }\n",
    ")\n",
    "\n",
    "# visualize\n",
    "_, ax = plt.subplots(1, 3, figsize=(11, 4))\n",
    "sim.plot(x=0, ax=ax[0])\n",
    "sim.plot(y=0, ax=ax[1])\n",
    "sim.plot(z=source.center[2] - source.size[2] / 2, ax=ax[2])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Run the simulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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\">18:41:34 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'tfsf2'</span> with task_id                                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-67013272-fded-4382-95cd-fea031b5d953'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:41:34 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'tfsf2'\u001b[0m with task_id                                 \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-67013272-fded-4382-95cd-fea031b5d953'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>View task using web UI at                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-67013272-fded-4382-95cd-fea031b5d953\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-67013272-fd</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-67013272-fded-4382-95cd-fea031b5d953\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">ed-4382-95cd-fea031b5d953'</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=404513;https://tidy3d.simulation.cloud/workbench?taskId=fdve-67013272-fded-4382-95cd-fea031b5d953\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=447459;https://tidy3d.simulation.cloud/workbench?taskId=fdve-67013272-fded-4382-95cd-fea031b5d953\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=404513;https://tidy3d.simulation.cloud/workbench?taskId=fdve-67013272-fded-4382-95cd-fea031b5d953\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=94770;https://tidy3d.simulation.cloud/workbench?taskId=fdve-67013272-fded-4382-95cd-fea031b5d953\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=404513;https://tidy3d.simulation.cloud/workbench?taskId=fdve-67013272-fded-4382-95cd-fea031b5d953\u001b\\\u001b[32m-67013272-fd\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=404513;https://tidy3d.simulation.cloud/workbench?taskId=fdve-67013272-fded-4382-95cd-fea031b5d953\u001b\\\u001b[32med-4382-95cd-fea031b5d953'\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/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" 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=132390;https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c0544b5631ea4c7795daf922a7fc7267",
       "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\">18:41:36 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:41:36 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">18:41:37 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:41:37 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8e54a179c8e44774acc9b5c7c0304d3e",
       "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\">18:41:41 CEST </span>loading simulation from data/tfsf2.hdf5                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:41:41 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from data/tfsf2.hdf5                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_data = web.run(sim, task_name=\"tfsf2\", path=\"data/tfsf2.hdf5\", verbose=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Flux results\n",
    "Here, the flux injected by the source is extremely close to $1 \\mathrm{W}\\mu\\mathrm{m}^{-2}$ as there are no finite-size effects at the source boundaries. As expected, the flux escaping above and below the TFSF slab is negligibly small."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "flux_inj per unit area:  0.9999965\n",
      "flux_above:  1.0977185e-08\n",
      "flux_below:  -1.28966325e-11\n"
     ]
    }
   ],
   "source": [
    "# print the escaped and injected flux\n",
    "print(\n",
    "    \"flux_inj per unit area: \",\n",
    "    sim_data[\"flux_inj\"].flux.values[0] / sim.size[0] / sim.size[1],\n",
    ")  # using sim.size because the TFSF slab extends to sim edges\n",
    "print(\"flux_above: \", sim_data[\"flux_above\"].flux.values[0])\n",
    "print(\"flux_below: \", sim_data[\"flux_below\"].flux.values[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Field plots\n",
    "In plotting the fields, we can see that the plane wave is injected at the desired angle without leakage into the scattered-field region."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x300 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_results_freq(sim_data, field_name=\"Ex\", val=\"real\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### TFSF source in a layered substrate\n",
    "A TFSF source can be set up in a layered substrate as long as the following condition is satisfied: **all four side walls of the TFSF box must see the same material profile along the injection axis**. In other words, any scatterers in the domain must either:\n",
    "\n",
    " - intersect each of the 4 side walls of the TFSF box in exactly the same way, e.g., a layered substrate, or,\n",
    " \n",
    " - be entirely inside or entirely outside the TFSF box.\n",
    "\n",
    "This example shows how to set up a TFSF source in a layered substrate."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# parameters of the layered substrate\n",
    "epsrs = [4, 1.5, 5.5, 2.8]  # permittivities\n",
    "zsizes = [0.3, 0.6, 0.7, 1.2]  # thicknesses\n",
    "zpos = -1.5  # starting position of the first layer\n",
    "\n",
    "# make the layer structures\n",
    "layers = []\n",
    "for idx, epsr in enumerate(epsrs):\n",
    "    medium = td.Medium(permittivity=epsr)\n",
    "    size = (td.inf, td.inf, zsizes[idx])\n",
    "    center = (0, 0, zpos + zsizes[idx] / 2)\n",
    "    layers.append(td.Structure(geometry=td.Box(center=center, size=size), medium=medium))\n",
    "    zpos += zsizes[idx]\n",
    "\n",
    "# make a TFSF box\n",
    "source = td.TFSF(\n",
    "    center=(0, 0, 0),\n",
    "    size=(4, 3, 4),\n",
    "    source_time=source_time,\n",
    "    injection_axis=2,  # inject along the z axis...\n",
    "    direction=\"+\",  # ...in the positive direction, i.e. along z+\n",
    "    name=\"tfsf3\",\n",
    "    pol_angle=0,\n",
    "    angle_theta=np.pi / 6,\n",
    "    angle_phi=np.pi / 7,\n",
    ")\n",
    "\n",
    "# specify boundaries compatible with the source for the scattered fields to obey;\n",
    "# note that the source plane goes through the first layer of the substrate,\n",
    "# so we should use that medium when specifying the Bloch boundaries\n",
    "boundary_spec = td.BoundarySpec(\n",
    "    x=td.Boundary.bloch_from_source(\n",
    "        source=source,\n",
    "        domain_size=sim_size[0],\n",
    "        axis=0,\n",
    "        medium=td.Medium(permittivity=epsrs[0]),\n",
    "    ),\n",
    "    y=td.Boundary.bloch_from_source(\n",
    "        source=source,\n",
    "        domain_size=sim_size[1],\n",
    "        axis=1,\n",
    "        medium=td.Medium(permittivity=epsrs[0]),\n",
    "    ),\n",
    "    z=td.Boundary.pml(),\n",
    ")\n",
    "\n",
    "# reuse the monitors from the first simulation\n",
    "monitors = [monitor_out, monitor_inj, monitor_freq_xy, monitor_freq_xz, monitor_freq_yz]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Make simulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1100x400 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# update the simulation object with the new source, boundaries, monitors, and structures\n",
    "sim = sim.copy(\n",
    "    update={\n",
    "        \"sources\": [source],\n",
    "        \"boundary_spec\": boundary_spec,\n",
    "        \"monitors\": monitors,\n",
    "        \"structures\": layers,\n",
    "    }\n",
    ")\n",
    "\n",
    "# visualize\n",
    "_, ax = plt.subplots(1, 3, figsize=(11, 4))\n",
    "sim.plot(x=0, ax=ax[0])\n",
    "sim.plot(y=0, ax=ax[1])\n",
    "sim.plot(z=source.center[2] - source.size[2] / 2, ax=ax[2])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Run the simulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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\">18:41:43 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'tfsf3'</span> with task_id                                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-6942e17e-a58e-4671-8f37-bfb850de16b7'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:41:43 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'tfsf3'\u001b[0m with task_id                                 \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-6942e17e-a58e-4671-8f37-bfb850de16b7'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>View task using web UI at                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-6942e17e-a58e-4671-8f37-bfb850de16b7\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-6942e17e-a5</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-6942e17e-a58e-4671-8f37-bfb850de16b7\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">8e-4671-8f37-bfb850de16b7'</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=308442;https://tidy3d.simulation.cloud/workbench?taskId=fdve-6942e17e-a58e-4671-8f37-bfb850de16b7\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=825184;https://tidy3d.simulation.cloud/workbench?taskId=fdve-6942e17e-a58e-4671-8f37-bfb850de16b7\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=308442;https://tidy3d.simulation.cloud/workbench?taskId=fdve-6942e17e-a58e-4671-8f37-bfb850de16b7\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=791138;https://tidy3d.simulation.cloud/workbench?taskId=fdve-6942e17e-a58e-4671-8f37-bfb850de16b7\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=308442;https://tidy3d.simulation.cloud/workbench?taskId=fdve-6942e17e-a58e-4671-8f37-bfb850de16b7\u001b\\\u001b[32m-6942e17e-a5\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=308442;https://tidy3d.simulation.cloud/workbench?taskId=fdve-6942e17e-a58e-4671-8f37-bfb850de16b7\u001b\\\u001b[32m8e-4671-8f37-bfb850de16b7'\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/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" 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=41724;https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8e05d71ac86d4e10b74466524646a049",
       "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\">18:41:45 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.082</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:41:45 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.082\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">18:41:46 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:41:46 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4df7f95a43524d0baf8df5112dcae69d",
       "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\">18:41:51 CEST </span>loading simulation from data/tfsf3.hdf5                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:41:51 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from data/tfsf3.hdf5                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_data = web.run(sim, task_name=\"tfsf3\", path=\"data/tfsf3.hdf5\", verbose=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Flux results\n",
    "Despite the elaborate stack-up of dielectric layers considered above, we again see that the incident field is effectively confined within the TFSF box, while taking into account the presence of the layered substrate, with negligible leakage to the scattered field region."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "flux_box:  3.6938659e-09\n"
     ]
    }
   ],
   "source": [
    "# print the escaped flux\n",
    "print(\"flux_box: \", sim_data[\"flux_out\"].flux.values[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Field plots\n",
    "The frequency-domain field plots confirm that the incident field is injected at the expected angle, takes into account the layer interfaces, and remains confined to the total field region."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x300 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_results_freq(sim_data, field_name=\"Ex\", val=\"real\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Example with a scatterer\n",
    "Finally, we'll simulate the presence of a scatterer inside the TFSF box, as would be the case in scattering cross section problems. To validate the result, we'll also simulate the same scatterer using a standard plane wave source, and then compute the scattered field by subtracting out the incident field manually. This will require an additional simulation of the same domain but without the scatterer, to compute the incident field. This example will demonstrate the usefulness of TFSF in obtaining scattered fields without the need to run two simulations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# make a TFSF box\n",
    "source = td.TFSF(\n",
    "    center=(0, 0, 0.2),\n",
    "    size=(5, 5, 3.5),\n",
    "    source_time=source_time,\n",
    "    injection_axis=2,  # inject along the z axis...\n",
    "    direction=\"+\",  # ...in the positive direction, i.e. along z+\n",
    "    name=\"tfsf4\",\n",
    "    pol_angle=0,\n",
    ")\n",
    "\n",
    "# set up scatterers: two boxes and a sphere inside the TFSF box\n",
    "box1 = td.Structure(\n",
    "    geometry=td.Box(center=[0, 0, 0.3], size=[4, 4, 0.6]),\n",
    "    medium=td.material_library[\"SiO2\"][\"Horiba\"],\n",
    ")\n",
    "\n",
    "box2 = td.Structure(\n",
    "    geometry=td.Box(center=[0, 0, 1], size=[3, 3, 0.8]),\n",
    "    medium=td.material_library[\"SiN\"][\"Horiba\"],\n",
    ")\n",
    "\n",
    "sphere = td.Structure(\n",
    "    geometry=td.Sphere(center=[-1, 0, -0.8], radius=0.6),\n",
    "    medium=td.Medium(permittivity=2.4),\n",
    ")\n",
    "\n",
    "# collect all objects\n",
    "structures = [box1, box2, sphere]\n",
    "\n",
    "# make a field monitor above the TFSF box to compare fields between the two cases\n",
    "monitor_freq = td.FieldMonitor(\n",
    "    center=[0, 0, 2.5],\n",
    "    size=[td.inf, td.inf, 0],\n",
    "    freqs=[f0],\n",
    "    name=\"freq\",\n",
    ")\n",
    "\n",
    "# specify PML boundaries on all sides\n",
    "boundary_spec = td.BoundarySpec.all_sides(td.PML())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Simulation with TFSF source\n",
    "\n",
    "It is important to note that when a non-uniform grid is used in the directions transverse to the `injection_axis` of the TFSF source, the suppression of the incident field outside the TFSF box may not be as close to zero as in the case of a uniform grid. Because of this, Tidy3D issues a warning when nonuniform grid TFSF setup is detected. In some cases, however, the accuracy may be only weakly affected, and the warnings can be ignored. In this example, the presence of scatterers does cause the auto-generated FDTD grid to be non-uniform in the $x$ and $y$ directions, but as we'll see, the results are still in excellent agreement with the reference simulation. To force a uniform grid in the TFSF region and avoid the warnings, a mesh override structure can be used, as illustrated in our [nanoparticle scattering example](../notebooks/PlasmonicNanoparticle.html).\n",
    "\n",
    "The presence of a non-uniform grid _along_ the `injection_axis` is not a problem."
   ]
  },
  {
   "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\">18:41:54 CEST </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: The grid is nonuniform along the </span><span style=\"color: #008000; text-decoration-color: #008000\">'x'</span><span style=\"color: #800000; text-decoration-color: #800000\"> axis, which may lead</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">to sub-optimal cancellation of the incident field in the          </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">scattered-field region for the total-field scattered-field </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">(</span><span style=\"color: #800000; text-decoration-color: #800000\">TFSF</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</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\">source </span><span style=\"color: #008000; text-decoration-color: #008000\">'tfsf4'</span><span style=\"color: #800000; text-decoration-color: #800000\">. For best results, we recommended ensuring a       </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">uniform grid in both directions tangential to the TFSF injection  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">axis, </span><span style=\"color: #008000; text-decoration-color: #008000\">'z'</span><span style=\"color: #800000; text-decoration-color: #800000\">.                                                        </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:41:54 CEST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: The grid is nonuniform along the \u001b[0m\u001b[32m'x'\u001b[0m\u001b[31m axis, which may lead\u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31mto sub-optimal cancellation of the incident field in the          \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31mscattered-field region for the total-field scattered-field \u001b[0m\u001b[1;31m(\u001b[0m\u001b[31mTFSF\u001b[0m\u001b[1;31m)\u001b[0m\u001b[31m \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31msource \u001b[0m\u001b[32m'tfsf4'\u001b[0m\u001b[31m. For best results, we recommended ensuring a       \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31muniform grid in both directions tangential to the TFSF injection  \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31maxis, \u001b[0m\u001b[32m'z'\u001b[0m\u001b[31m.                                                        \u001b[0m\n"
      ]
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     "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: Suppressed </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000\"> WARNING message.                            </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Suppressed \u001b[0m\u001b[1;36m1\u001b[0m\u001b[31m WARNING message.                            \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1100x400 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# make the TFSF simulation by updating the previous one with the new structures and monitor\n",
    "sim = sim.copy(\n",
    "    update={\n",
    "        \"boundary_spec\": boundary_spec,\n",
    "        \"monitors\": [monitor_freq],\n",
    "        \"structures\": structures,\n",
    "        \"sources\": [source],\n",
    "    }\n",
    ")\n",
    "\n",
    "# visualize\n",
    "_, ax = plt.subplots(1, 3, figsize=(11, 4))\n",
    "sim.plot(x=0, ax=ax[0])\n",
    "sim.plot(y=0, ax=ax[1])\n",
    "sim.plot(z=source.center[2] - source.size[2] / 2, ax=ax[2])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Reference simulation\n",
    "\n",
    "We will compare the results with a simulation that uses a regular plane wave source, where we compute scattered fields by also running an empty simulation and subtracting the results of the empty simulation from the results of the full one."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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OHXjggQcGbbtv3770SNrZs2fDZrPhxhtvHPRtOfP9ud1udHd3Fzwm2ZQpUzB06FAsXbo06z3861//wvvvv5/++1RKTnKZx5hIJHDvvfcO2tbtdqu6VPXXv/4Vy5cvxy233IJrrrkGZ5xxBq699lp8+OGHWduVc+/UiSeeiCFDhuC+++7L2td9992HxsbGrL9PIBDABx98kHXv3fe+9z2kUincf//96cfi8TgefvhhTJs2LX1Gx+v1oqOjA3/+85+zkuCjjz6K3t5ezJkzp+jfYL/99sPIkSPzxgiAQUsy/utf/0IsFtPkUlaujRs3wuv14rDDDtN836Q8lEcpjypx9tlnIxQK4Sc/+Ql6e3vzjqynPDrAMnlU92FYFvbFF1+w9vZ21tjYyK688kr2xz/+kf3qV79ihx12WHoOPnnkXL4Rqtdffz0DwL7xjW+wu+++m1122WXMbrezqVOnskQiwRhj7O9//zvbb7/92JVXXsnuvfdeduedd7KpU6cyh8PB1q1bxxhj7IorrmCTJk1i1157LXvggQfYb37zG7bffvux/fffP2uOv1xKnpdKpdhJJ53EOI5jZ5xxBrvrrrvYkiVL2EUXXcSGDBmS9b6uu+46BoAdc8wx7Pe//z2766672Ny5c9k111yT3uaSSy5hHMexX//61+zxxx9Pr0iRb/4++W83bdo0tmTJErZw4ULW2NjIxowZkzXHoTx/X6G/bzGBQID5fD42evRodtttt7Hbb7+dTZo0iR155JGDjufWW29lANhPf/pTtmzZMvaPf/yj4H67urpYa2sr+9rXvpYeMRkIBNiwYcPY9OnTNVnp5Z577mEA2Pe+9z32wAMPsLlz5zIA7De/+U3WdvLfIXduxDlz5qTn5vvjH//IjjnmGMbzPHvllVeyttu4cSNzOp1ZK6C4XC7FcxBeeumlbL/99hs0bx4A1tDQwL71rW+x++67j1133XXM4/Ewr9fLDjjgALZs2TLGWOEYkt9X7ujpQp+Hww8/nP3whz9UdMzEOJRHKY8qcfjhhzMA7JBDDlG0vVKUR82bR6lArdD27dvZ3LlzWVtbG3M6nexLX/oSmzdv3qAJpvMlVsb6p0MZP348czgcbNiwYeziiy/OShr//e9/2Y9//GM2btw45nK52JAhQ9jXvvY19uKLL6a3WbVqFTvllFPYiBEjmCAIbMSIEezMM89kH374YdFjV/q8RCLBfvvb37LDDjuMOZ1O5vP52OTJk9kNN9wwaMqkhx56iE2aNCm93QknnMBWrlyZ/n1nZyebNWsWa25uZlAwwfTy5cvT+xsyZEjRCaZzKUmsjDH2+uuvsy9/+cusoaGBjRgxgl199dXs+eefH3Q8vb297Ac/+AFraWlhKDHB9Kmnnsqam5vZp59+mvX4U089xQCw3/72tyWPS4n777+fHXzwwUwQBDZu3Dh2xx13DEpghRLrvn372M9//nPW3t7OnE4nmzp1Knvuuefyvs6aNWvYMcccw1wuF2tra2Pz5s1jkUhE0TFu2rSJ4X8TRGcCwObPn8/mzJnDGhoa2PDhw9ndd9/Nli5dyhobG9n555/PGNMmsb7//vsMQFbcEPOgPEp5tBS5sL355psVba8G5VFz5lGOMR3OARNCSIYZM2ZgxIgRePTRR9OPcRyH66+/Hr/61a90f/0rr7wSr776KjZu3Eij+AmpQX/4wx/w05/+FJ9++umgkej1ot7yKN2DSgjR3c0334zly5enp70xUjAYxP/93//hpptuouKUkBrEGMODDz6IE044oW6LU6D+8ihNM0UI0d20adMKzjeoN7/fj97e3qq8NiGkfNFoFP/4xz/w8ssv45133sFTTz1V7UOqqnrLo1SgEkIIIcR09uzZgx/84AdoaWnBL37xC5x88snVPiRiILoHlRBCCCGEmArdg0oIIYQQQkyFClRCCCGEEGIqdA+qQpIkYefOnWhubqaRwIRYBGMMPT09GDFiBGw2+r6uN8qjhFiTHrmUClSFdu7cibvuugs8r8+fLHdd4VQqVXBbxhhCoZDmy5jxPJ/1/uLxuC5LpRXDcRycTmf6Z1EUBy1RaARBENJBJklSVUZOWrk9OI6Dz+dTXKSoiQ+1br75Znz++efYf//9NdsnyU/LPGqz2bI+P5IkqYoPLfIo5asBVs5XahnVHsXyaKXxUQ6tcykVqAo1NzeD53k0NjbqcqYllUqlO1273T6oQ87EGMOYMWOKblMOSZIQDAYB9AeY1+vVdP9KhcPhdED7/f6qnNlKJBLp9aK9Xi8EQTD8GKzcHqlUCoFAQHGBqiY+1JDXO29ubtZkf6Q4LfMoYwzJZDL9c0NDg+rna5FHKV/1s3K+Usuo9iiWRyuND7X0yKVUoCokfwBsNhscDoem+xZFEZIkpV9DkqRB30ZlkiRBkiQ4nU5NP/RycnE4HHA6nYjFYkilUoZ33D09PZAkCU1NTYjH49i3b5/hSSaRSKC7uzsd0H19fWhsbDQ06Vu9PRKJBGw2W/pfMWriQy05gdPlZmNolUclSUI8HgfHceA4LisvKn2+FnmU8lU/q+crNYxsj0J5tNL4KIceuZRuuqoyURSRSCTAcRxcLhdcLhc4jkMikTDs0oScXJLJJFpbW+H3++HxeBCJRNDT02PIMQD9ySUSicDj8cDv96O1tRXJZBLBYDD97UxviUQCgUAADocDra2taG1thcPhQCAQMOyyGbXHADPEBzEXufNljEEQBDQ0NIDneYiiiHg8bthxmCE+KF8NoPboZ5b40AIVqFWU2fk6nc70tyCn02lYJ5ybXORvec3NzYYmmczkIn/rFgTB0CSTmVzkb902mw1+v9+wJEPtMcAM8UHMJbfzlc+iO51OQzthM8QH5asB1B79zBIfWqECtUrydb4yozrhQslFZlSSyZdcZEYlmXzJRWZUkqH2GGCG+CDmUqjzlRnVCZshPihfDaD26GeW+NASFahVUKzzlendCZdKLjK9k0yx5CLTO8kUSy4yvZMMtccAM8QHMZdSna9M707YDPFB+WoAtUc/xpgp4kNrVKAaTEnnK9OrE1aaXGR6JRklyUWmV5JRklxkeiUZao8BZogPYi5Ki1OZXp2wGeKD8tUAao9+ZokPPfIvFagGUtP5ynI74Urnf1SbXGRaJxk1yUWmdZJRk1xkWicZao8BWsQHFanWorbzlWndCZshPihfDaD26CdJElKpVNXjIx6P63L7BBWoKtjt9rInui2n85XldsLlfhDKTS4yrZJMOclFplWSKSe5yLRKMtQeA7SMDypSraHc4lSmVSdshvigfDWA2qOfJEno7u6uenzE43GIoqjLVF5UoKqUTCZVf6gr6XxlmZ2wKIpZE/AqUWlykVWaZCpJLrJKk0wlyUVWaZKh9higdXxQkVr7Ki1OZZV2wmaID8pXA6g9+sntIYoieJ4ve7GJSuNDLk61mpc6FxWoKsgfZDWns7XofGWZnXAoFFL8odYqucjKTTJaJBdZuUlGi+QiKzfJUHsMSKVSusQHFam1S6viVFZuJ2yG+KB8NYDao19me/h8vorPXJYbH5nFqV4LAFCBqgJjDDzPp0fMlfpQa1mcyjiOg91uB8/zij7UWicXmdoko2VykalNMlomF5naJEPtMUBeo1rL+FBbpBq9VjgpTuviVKa2EzZDfFC+GkDt0S+3PbRa1VJtfBhRnAJUoKpms9kgCELJIlWP4jTzGFpaWkp+qPVKLjKlSUaP5CJTmmT0SC4ypUmG2mNAMpmEKIq6xYeSIlWSJNW3ypDKFVoKUa/iVJbZCRcrBMwQH5SvBlB79NO7PZQWqUYVpwAVqGXheb5okapncSor9aHW+8MsK5Vk9EwuslJJRs/kIqP2GKCkPUKhkO7xUaxIlYshYjybzTboM6F3cSqTO+FUKpX3i4tZ4oPyVT9qj35GtUepItXI4hSgArVshYpUI4pTWaEPtVEfZlmhJGNEcpEVSjJGJBcZtceAUu0h39hf6GyaFgoVqZnFkF6FEClOFMW87aFncSpzOp2w2+2QJAnRaDT9uJnig/IVtUe12qNQkWp0cQpQgVqR3CLVyOJUlvuhjsfjhn6YZblJxsjkIstNMvF43LDkIqP2GFCsPVpaWgxrj9wiNbMYMuIYSDZ5Lud87WHUFwa57Xt7e00ZH5SvqD2q2R65RWo1ilOACtSKyUVq5iVDo4pTmfyhzhw4ZeSHWZaZZIxOLjI5yWSeqTMqucioPQaYpT3kpCpf7TCyGCKDyYM7qtkePM+jqamJ4oPyVRq1x4DMIrUaxSlABSohhBBCCDEZKlArJF/Wz3eWxiiZk/bK37S0XOtXqczLMnqsvayE/M1X/iYsiqKmay8rQe0xwCztkXt1g+ZJrS559oRqtocoiujt7aX4oHyVRu0xIHcSfq2WRVWDCtQK5N5zWmp0vx5yb6B2Op2arvWrVO49Q1qvvaxE7g3tTqdT07WXlaD2GFCsPbq7uw1rj9x7HLVYNpiUT171Jl97GFWkym3f1NRkyvigfEXtUc32yL3nVKtlUdWiArVMhQZEGVmkFhrdp9Vav0oVuqHdyCRTaLSlVmsvK0HtMaBUe4iiiFQqpetE+YVGh+cuG0yMl7k0otErgMXjcaRSKdhsNrjd7vTjZooPylfUHtVqj0IDoqpRpFKBWoZSo/WNKFJLTT1h1Ie61GhLI5JMqalAjEgy1B4DlLSHz+fTPT6KjQ7PvCWHGEuSpEGfCaOKVLnzlVfjy2WW+KB81Y/ao59R7VFqtL7RRSoVqCopXZ5RzyJVkiR0d3eXnHpC7w+10qlA9EwySuep0zPJKJ2njtpjgMPhULVssBpK59W02WyaLRVIlCt01lzvIjWz8y02ItoM8UH5agC1Rz+920PpVFJGFqlUoKogXxJUOs+pHkUqYyy9CoqSqSf0+lCrnadOjySjdhJlPZKM2kmUqT0GKF02WA21k77ruVAAUU+vIlXtPI5miA/KVwOoPfrltodWSzWrjQ+jilQqUFWQP8Bq5jnVskjN7Hx9Pp/iedG0TjLlTqKsZZIpd4UPLZNMuSt8UHsMsNvtusQHzXNau7QuUsudZNwM8UH5agC1R7/M9giFQhUXyuXGhxFFKhWoKjkcDtWT9mpRpOYuz6j20qRWSabSFT60SDKVLj+nRZKpdPk5ao8BWscHFae1T6sitdIVcMwQH5SvBlB79MuczF8ecFqOSuMjdzJ/rVGBqkIqlSr7kmAlnXBu51vuqhaVJhmtlp+rJMlotTZyJUlGq7WRqT0GaBkfVJxaQ6VFqlbLM5ohPihfDaD26Gez2dDS0lL1+JCLVD0Gj1GBaqByOuHczleeQ7Bc5SYZrddGLifJaJVcZOUkGa2Si4zaY4AW8UHFqbWUW6RqvXa4GeKD8tUAao9+NpsNdru96vGh1/LuVKAaTE0nrFfnqzbJaJ1cZGqSjNbJRaYmyWidXGTUHgPMEB/EXNQWqVp3vjIzxAflqwHUHv3MEh965F8qUKtASSesd+erNMnolVxkSpKMXslFpiTJ6JVcZNQeA8wQH8RclHbCenW+MjPEB+WrAdQe/eSZhaodH1ozdYF6yy23gOM4XHnllUW3W7FiBcaPHw+Xy4UJEybg2Wefzfo9YwyLFi3C8OHD0dDQgI6ODnz00Uc6HnlpxTphozrfUklG7+QiK5Zk9E4usmJJRu/kIqP2GGCG+LAKq+TRUkWqUZ2vGeKD8tUAao9+ZokPLZm2QH3rrbfwxz/+EUcccUTR7dauXYszzzwT5513HjZv3ozZs2dj9uzZePfdd9Pb3HrrrbjzzjuxdOlSrF+/Hm63GzNnzkQsFtP7bRSVrxM2uvMtlGSMSi6yfEnGqOQiy5dkjEouMmqPAWaIj1pntTxaqBM2uvM1Q3xQvhpA7dHPLPGhFVMWqL29vTjrrLPwwAMPwOfzFd32D3/4A775zW/iqquuwiGHHIJf//rXOOqoo3D33XcD6P/Wv2TJElx77bU45ZRTcMQRR+BPf/oTdu7ciSeffNKAd1NcZicci8UQi8UM73xzk0wwGDQ0ucgyk0wwGDQ0ucgyk0wgEEhPhmxEcpFRewwwQ3zUKqvm0dxOeN++fVXpfM0QH5SvBlB79DNLfGjBlBl+3rx5mDVrFjo6OnDTTTcV3XbdunWYP39+1mMzZ85MJ81PPvkEnZ2d6OjoSP/e6/Vi2rRpWLduHc4444y8+43H41mTz0YiEQD9iVrr6RTkJRflb5/yVFKF7mVhjGm2gkQmj8eD3bt3o6+vD06nE06nU7c1fwtxOp1wOBzo6+sDAPj9ft3W5S7G4/EgFAoBQLpzN/pvYeX2SCaTimNJTXyoVWjZTSuweh51OBzps+kcx8HhcCjep1Z5lPJV9jFYNV+pZVR7FMujlcRHOfTIpaYrUJ944gls2rQJb731lqLtOzs7MWzYsKzHhg0bhs7OzvTv5ccKbZPP4sWLccMNN2Q9tnDhQgDQvJEZY+klVAGkAyrfnKtyYo3H42VPzluIKIpZ3/L6+voM++Ypk/+28nFEo1HDz5QxxpBIJNLHsG/fvormwC2XldtDFEVIkqTob6omPki/esijmZ8J+Wel8aFVHqV8NcDK+UoNI9ujWB6tJD7MwlQF6ueff44rrrgCK1euhMvlquqxLFy4MOuMQiQSwc0334zRo0dremyMMYRCIYiimP6mFQqFwPM8fD7foA9eMplEPB7HSSedBK/Xq9lxEGKkcDiMZ599Nn3GoxC18aFWte9D10M95NFoNIre3l40NTWhsbEx6zOiZJU9yqPECgrl0Urjoxx65FJTFagbN27E7t27cdRRR6UfS6VSePXVV3H33XcjHo8Pmqi+vb0dXV1dWY91dXWhvb09/Xv5seHDh2dtM3HixILHIl+iyCRJUvqeOC3IN1BLkoShQ4em9yvfyxOJRPLeP5NKpeD1ejFkyBBNjoOQapCX7C0UT+XGhxrVuPynN6vn0Z6eHvT19aGlpSV9j+PQoUMRDAYRDocV3+9HeZRYQW4e1So+1LL8UqczZszAO++8gy1btqT/TZkyBWeddRa2bNmSdxWl6dOnY9WqVVmPrVy5EtOnTwcAjB07Fu3t7VnbRCIRrF+/Pr1NNRQb3afFWr+E1DKKj/JZOY8WGh2u1VrxhNQyq8WHqc6gNjc34/DDD896zO12w+/3px+fO3cu9ttvPyxevBgAcMUVV+CEE07AbbfdhlmzZuGJJ57Ahg0bcP/99wNAev6/m266CQceeCDGjh2L6667DiNGjMDs2bMNfX8yJVNPyJ2wPCrSyJGIhFQTxUdlrJpHS01dJHfC8ghuI0dOE1JtVoyPmsvon332GXbt2pX++ZhjjsGyZctw//3348gjj8Rf//pXPPnkk1kJ+uqrr8Zll12GCy+8EFOnTkVvby+ee+65qtyfpWZeNDpTROoNxYcxai2PKp1Xs1bPFBFSiWg0WvX40OMSP8esPM+KhiKRCK6++mpMnToVjY2NZe2j3El7Mycc9ng8iMfjmDNnDt07RWrW3r17sWLFCrhcrnQcaBEfas+k9vX14fzzz0c4HIbH4ynrvRDlysmj5Uz6XuqzlEgkEIvFKI+SmrZ37148/vjjiEajWfeclqL1AgKJRAJdXV1YsGCBprm05s6gVlMl01VU8oHIPFMUCoUsPXcjqU9axQedSbWWclckojOppF4kk0k0NTVVLT7kEwT57m2vFBWoKvA8n54AWA0tvq3InbAoipRsiaVoGR9UpFpHpctlUpFK6oHD4YDb7Vb9PC3iI/fqrtaoQFVBFEVEo9H0Wr9KaHkqXRAE+Hw+OoNKLIMxpml8UJFqDVqt5U5FKrG6Sq7sVhIfldxapfj4NN+jhYmiCLfbjUgkoqhI1fo+DwBF540kpJbIk/BrGR9UpNY+rYpTGRWphBRWTnwYUZwCVKCq1tjYCI/HU7JI1aM4ldF0OsQKEokERFHUPD7UFKnl3LJD9KN1cSrL7YSTyaRm+yak1qkpUo0qTgEqUMvS3NxctEjVszglxCoYY/D5fLrEh5IitaenB9FoVPPXJsUJglCwPfQoTmWZnXAoFKKz64RkUFKkGlmcAlSglq1QkUrFKSHKCIKg27rQ8v4LFalyMVTO4AJSGZvNhkgkkrc99CpOM1/b7/eD53m61E9IjmJFqtHFKUAFakVyi1QqTglRzogEl69IzSyGyp3TmJQvHo8jlUrlbQ89i1OZzWaDz+cDx3G6vxYhtSZfkVqN4hQw2VKntUhOqJFIBJFIBBzHUXFKiIlkLosqr54kF0N0D6rxGGPwer3o7e0d1B5G4TiOcjQhBWQui7pnzx4A/XnU6CWl6QyqBjIvEzqdTkp8hJiMIAhwOp3pn+nSfnXxPF/19qAzqIQUZrPZsuY29Xg8hg/QpgK1QvJlfY7j4HK5EIvFVM2TSgjRX09PD2KxGFwuFziOoymoqqyvr6/q7UHtT0hhiUQCwWAQDocDDocDwWDQ8Pu2qUCtQO49p36/X9EUVIQQ42Te4+j3+2me1CrjeR7RaLSq7ZFMJmmQFCEFZN5z2traitbW1qrMI0wFapkKDYgqNQUVIaSfKIq6v0a+ATiZA6cikYjux0Cy8TwPt9udtz2MKFITiQRCoRBd4ickj3wDoqq12AUVqGUoNVqfilRCSksmk7rOQ1psdLhcFKVSKd1en+QniuKg2ROMKlLlzpfneRorQEiOYqP1q1GkUoGqktKppKhIJaQ4h8OB3t5eXeJDydRFgiDA6/Vq/tqkuEJnzvUuUjM7X5pmipBsSqaSMrpIpQJVpUgkonieU72KVCMujRKiN57n0dTUpHl8qJlXk+dppj0z0atIze18qTglZICaeU6NLFKpQFVBEASkUilV85xqXaRGo1FaR5pYhtvt1jQ+jJ70nWhP6yK1WpOME2IExlhFzy8nPowqUilSVbDZbPB6varvXdKqSO3p6UFvb6+uy0MSYjQt44OKU2vQqkil4pRYXSKRKLtIrSQ+cotUPa7sUrSqEI/Hy74kWGknLHe+TU1NdFmSWI5W8UHFqXVUWqRScUrqAWMMoVCoKvGRWaSGw2HVzy+5f833aGGVnkovtxPO7HxpBRxiVVrEBxWn1lJukUrFKakXgiBAFMWqxYdcpNrt9rL3UXDfmu+RFKW2E6bOl9QTig+SS22RSsUpqSc2mw0+n6+q8ZG7LKpWKHKrQGknTJ0vqUcUHySX0iKVilNSj+QVn6oZH3rEGkVvlZTqhKnzJfWM4oPkKlWkUnFK6pkV48P8R2hhhTph6nwJofgggxXqhGux8yVEa1aLDxoOXmVyB5u5Jjh1voT0o/ggueROOBAIIBgMwuPxIBgM1lznS4gerBQfVKCaQG4nTJ0vIQMoPkguuRPes2dPTZ4ZIkRPVomP2jpaQgghhBBieVSgmkDmPXVaLvtIiBVQfJBc8j118pkitfNAEmJlVokPKlCrLHfAh1bLPhJiBRQfJFfugA+n06nJsqiEWIGV4oMK1CoqNBqZOmFCKD7IYIVGI1e6LCohVmC1+KACtUpKTZVDnTCpZxQfJFepqXJqtRMmRAtWjA8qUKtA6TyO1AmTekTxQXIpncexFjthQiqVTCarHh96xBoVqAZTO8k4dcKknlB8kFxqJxmnIpXUE0mSEAqFqhofkiRlzVWtFSpQVeA4rqLnl7sCTmYnHI1GKzoGQsxKi/igItVayl0Bh4pUUi8SiQR4nq9afEiShGAwiFQqVfY+CqECVQWn0wlRFMt6bqXLM8qdcG9vb9nHQIhZaRUfVKRaR6XLM1KRSuoBx3Hw+XxViQ+5OE0mk/B6vaqfXwqtJKWCJEkId4fgEuwQBIfi5/X0RBHp6YWnuQnNbicgJcp6/Wa3E2KiAYlEHEiGgURlZ3QJqZpkGGApgCXRE9YuPiA1IhLuBiQRzc3u0k9i9GWvKphYtJ0TiSQCe0Nw8Dz8vmbYIAJl1JcCD7QO8SKwN4RgYDf8Q1r6O3KW7P/8UR4ltSwZhuCwg4MISOo/xwXjQwFJkhDc242kKKJ1iA+iDmdQqUBVIZFIwI44Ant2obXZDsFRuiF7+lKI7JPgabChmY8A+yq7T8PNM7BkCtj5L6CHmo/UqB4RSIQQ3cfQl2CaxUczD8CZQiQcBBIhNDfaiz8hRgVqVcT2oFD3k0hKCPSk4LBz8DeKsMW7KnopAUBro4RATwzB3VH4PXYgBSAhUR4lta1HBJfsBjgbIJb3RStffNhK3M4oMYZgJIVkivXXQqkARB1yKV3iV8nTaIPDziHQk0IiWfwrfVZxWqqjVIG30zd+UvvEFENvTPv4aG60w9NgQ2SfhJ6+4t/qxRTT7HVJ5bKKUwUdpVKCw4bWZjuSqf6OlTFqd0JkufEhFYmPQcWpghN15aICVSUb1584SxWpehWnhFhFMsXQ5NInPpQUqYmkhHAf3ZdoNJ5XcOZUw+JUltkJh3pToBqVkAFKilQji1OACtSylCpSqTglpDSHnYO7Qb/4KFakysWQnTKg4XieR188O2fqXZzK5E5YTDEkRKpQCclUrEg1ujgF6B5U9VxtQIMLNgB+V/9NwoG+/puEBcHRPyAq3guPt0nZIA21kkkACWDEtwBfi/b7J8QIoW7wDf8CXALgUD7gUK3mBgD/G6QIoT8mE4kkAuEQHM4GNDQ06PbaJD9RFBFNOuAUPYPaQ80gjXIJDYDPvg/Rvn2UR0ltC3UDgrZ5VGgAWl39gxSDfTz8Q1oAoH9AFES0tvkKDBKPafL6mahAVYvjAZsAALDZAH/rUASDQQT2huF0OhGLxeDxtpQ1VY6y1wfApQCHFxB8+rwGIXpzMICzA5wjHU96afYKgI1HJBJBQpQQj8fhcDjh9/sRi2mfVElxoijC7W5CpLdvUHvoXZzKHE5ASDHKo6S26ZRHBZeA1lYHAoEAAnv7B66KooTW1qEQhAKvw9EgKdOx2Wzw+/1gjCEWi8HlculXnBJCytLc3AyXy4VYLAbGmKHFEBmssbGx6u1B7U9IYYIgwO/3I5lMIplMwu/3Fy5OdUIRqoHM1Z3i8TgSifLmcSSE6CORSCAej6d/phXZqksUxaq3B43kJ6Sw3OVLI5GI4YtdUIFaocwVcIYPHw6Ho/+0OBWphJhD5opEw4cPpxWnqozjOITD4aq2B2OMcjQhBWSuENXW1oa2traqrMhGBWoFcpdnlC/3U5FKSGlGJLp8y2VmLova19en+zGQbE6nE3a7PW97GFGkSpKEUChEZ1AJySOzOG1tbYUgCFVbNpgK1DIVWjucilRClEkkEkgmk7ruv9Ba7nJRRJf6jSdJEjweT9720LtIlTtfURQNv5+OELPLV5zKqlGkUoFahkLFqYyKVEJK4zgOoVBIl/goVpzKmpub4XbrMBUcKSqRSBRsDz2L1MzO1+fz0SApQjIUK05lRhepFKEq9fX1FS1OZXoWqUbfqEyIHgRBAM/zmseHkuJU1tjYqNnrksrpVaTmdr4OHefeJaTWKClOZUYWqaYqUBcvXoypU6eiubkZQ4cOxezZs7Ft27aSz1uxYgXGjx8Pl8uFCRMm4Nlnn836PWMMixYtwvDhw9HQ0ICOjg589NFHqo+P53lEo9GSxalMjyI1mUzSGVliCRzHwefzaRofaopTKzN7Li1G6yJVTedLSL0pJz6MKlJNlb1feeUVzJs3D2+88QZWrlyJZDKJb3zjG0XvE1u7di3OPPNMnHfeedi8eTNmz56N2bNn4913301vc+utt+LOO+/E0qVLsX79erjdbsycOVP1JN08z8Ptdqua51TLIjWRSCAUCoHTaRlAQozGcZym8UHFaT+z59JStCpSqTglVieK5U+QX0l8GFGkcszEQxn37NmDoUOH4pVXXsFXvvKVvNucfvrpiEajePrpp9OPffnLX8bEiROxdOlSMMYwYsQI/OxnP8PPf/5zAEA4HMawYcPwyCOP4IwzzlB0LJFIBL/4xS8wadKksi4LVpoo5c7XZrOhoaEB3//+9zFkyBDVx0GIGezduxcrVqyAy+WCIAiaxYfa4rSvrw/nn38+wuEwPB5POW+lJpgll0YiEVx99dWYOnWqojxa6n7/Yop9phKJBGKxGObMmUN5lNSsvXv34k9/+hMEQYDPp25FNK2+vMm5FwB+/vOfa5pLTX2KIRwOA0DRBLJu3Tp0dHRkPTZz5kysW7cOAPDJJ5+gs7Mzaxuv14tp06alt8knHo8jEolk/avkm0olZ1IzO1+fz0dnUInlaBUf9X7mtJBq5dJ8eVSNcs+k0plTUi8cDgd6e3urFh/ymdRUKlX2PgoxbSaXJAlXXnkljj32WBx++OEFt+vs7MSwYcOyHhs2bBg6OzvTv5cfK7RNPosXL4bX603/GzlyZLlvJa2cTji386XilFiVFvFBxelg1cylWuRRtUUqFaeknvA8j6ampqrGhyAI8Hq9Fe8nl2mz+bx58/Duu+/iiSeeqMrrL1y4EOFwOP3v888/12S/ajph6nxJvaH40F41c6lWeVRpkUrFKalHbre76vHB87xm+5KZMqNfeumlePrpp/Hyyy9j//33L7pte3s7urq6sh7r6upCe3t7+vfyY4W2ycfpdMLj8WT904qSTpg6X1KvKD60U+1cqmUeLVWkUnFK6pkV48NUWZ0xhksvvRR///vf8dJLL2Hs2LElnzN9+nSsWrUq67GVK1di+vTpAICxY8eivb09a5tIJIL169ent6mGYp0wdb6k3lF8VMaqubRQJ1yLnS8hWrNafGh/TrYC8+bNw7Jly/DUU0+hubk5fV+T1+tFQ0MDAGDu3LnYb7/9sHjxYgDAFVdcgRNOOAG33XYbZs2ahSeeeAIbNmzA/fffD6B/Gpsrr7wSN910Ew488ECMHTsW1113HUaMGIHZs2dX5X3K5E44GAwiEAigtbUVAKjzJQQUH5Wwci6VR/PLA67cbndNdr6E6MFK8WGqAvW+++4DAHz1q1/Nevzhhx/Gj370IwDAZ599ltUpHXPMMVi2bBmuvfZa/OIXv8CBBx6IJ598MmswwNVXX41oNIoLL7wQ3d3dOO644/Dcc8/B5XLp/p5KyeyE9+zZA6D/hmPqfAmh+CiX1XNpZicciUTAcVzNdb6E6MUq8WGqAlXJlKyrV68e9NicOXMwZ86cgs/hOA433ngjbrzxxkoOTzc2mw0ejyc9l5jH46HOl5D/ofhQrx5yqdvtTp8lcjqdNdf5EqInK8QHZXkTSCQSCAaDcDgccDgcCAaDtJwpIf9D8UFyyffUcRwHl8uFWCymybKohFiBVeLDVGdQ61HugA8AWffc1eK3HkK0QvFBcuUb8CGvOAVA9YpThFiJleKDzqBWUb7RyJWsqEOIlVB8kFyFRiOXu+IUIVZitfigArVKik2VQ50wqXcUHyRXqalyarUTJkQLVowPKlCrQMk8jtQJk3pF8UFyKZ3HsRY7YUIqxRizZHxQgWowNZOMUydM6g3FB8mldpLxWuuECakEYwyhUKjq8dHX16fZvmRUoBqonBVwcjvhZDJpwJESYjwt4oOKVGspdwUcKlJJvUgkEhBFsarx0dPTg2g0WvF+clGBqoIgCJAkqaznVrI8Y2YnHAqFyj4GQsxKq/igItU6Kl2ekYpUUg8YY/D5fFWLD3mGALfbXfY+CqECVQWbzYZIJKK6QNRi7XC5E+Z5njpgYilaxgcVqdag1drhVKQSqxMEAQ6Ho6znVhofcnHq8XjQ2NhY1jEUQwWqCvF4HKlUCsFgUHGRqkXnK7PZbPD5fOA4rux9EGImyWRS0/igIrX2aVWcyqhIJVZW6ap65cZHZnGq19yqNFG/CowxeL1e9Pb2IhgMluxQtSxOZRzH1eTk5P++5I5qH4LlHXnvT6t9CKpIkoRIJAKn06lZfMhFqtLJ/Ol2GXPRujiVZa5NDvQv/ViLKI/qr9byqBZy46NUwWlEcQrQGVTVeJ5Ha2srkslk0TOpehSnMjqDSqwgkUiA53nN40PpmVS5QCbGKpS/9CpOZZlnivQY0EFILVN6JtWo4hSgArUsgiAULVL1LE4JsQqO4+Dz+XSJj1JFqlwMpVIpzV+bFOd0OiGKYtZjehenMrkT7u3tHXQMhNS7UkWqkcUpQAVq2QoVqVScEqKMIAi6Xg0oVKRmFkNer1e31yf5SZKEcDictz30LE5lzc3NaGpqoin7CMmjUJFqdHEKUIFakdwiNR6PU3FKiEJG3KqSW6TG4/GsYojn6TZ8oyUSCdjt9rztYdT99W63u+yRz4RYXW6RWo3iFKACtWJykSqfOdXjnjpCSPkyp2iTz6QaWQyRwTweT9Xbg76cEFJYZpFajeIUoAKVEEIIIYSYDBWoFZLPnMpnUkVRVDVPKiFEX/I9jpnLAdI8qdUViUSq3h40SIqQwjIv61drHmEqUCuQOyDK6XQqmoKKENI/r7DecgfgyHOuyvekUpFiPEEQkEql8raHUUVqNBqlQVKEFJB7z2m1FrugArVMhUbrl5qCihDSL5FI6FqkFhodnjlwKhwO6/b6JD+bzQav15u3PYwoUnt6etDb20uDpAjJo9CAqGoUqVSglqHUVFJUpBJSGmMMoVBIl/goNXWRXBTZ7XbNX5sUF4/HBw1QMqpIlTvfpqYmGiRFSI5So/WNLlKpQFVJFEVFU0npWaQacWmUEL0JgqDLPdtK59W02WzweDyavS5RplD+0rtIzex83W63pvsmpNYpnUrKyCKVClQVOI5DOBxWPM+pHkUqY4wGdxBLsNls8Pl8msaH2knfaTo4c9GrSK3WPI6E1AK18WFUkUrZWQWn0wm73a5qnlMti1RJkhAKhegMKrEMh8OhaXxUY9J3oi2ti1QqTomVVfrFvtz4MKJIpQJVBUmS4PF4VJ910aJIzZwqhzpeYiVaxgcVp9agVZFKxSmxukQiUfaMFJXGR2aR2tfXV9YxFEMFqgqJRKLsS4KVdMKZna/P56PLksRytIoPKk6to9IilYpTUg84jkMoFKpafMhFajQaLXsfhVClY6ByOuHczpemRiFWpUV8UHFqLeUWqVScknohCELWssFKaB0fzc3Nugw8pALVYGo6Yep8Sb2h+CC51BapVJySesJxHHw+X9Xjo7GxUbN9yahArQIlnTB1vqReUXyQXEqLVCpOST3iOM6S8UEFapUU64Sp8yX1juKD5CpVpNZa50uIlqwYH1SgVlG+Tpg6X0L6UXyQXIU64VrsfAnRmtXig9Z6qzK5Ew4EAggEAgD6V6uizpcQig8ymNwJB4NBBAIBOJ1OxGKxmut8CdGDleJDVYEqSRJeeeUVrFmzBtu3b0dfXx/a2towadIkdHR0YOTIkXodp6UJggC/35/ugKnzJWSA1eKD8mjl5E54165diMVicLlcNdf5EqIXq8SHokv8+/btw0033YSRI0fipJNOwr/+9S90d3fDbrfjP//5D66//nqMHTsWJ510Et544w29j9lyJElCJBJJ/xyJRDRdm5yQWmaV+KA8qq3MeRfj8TgtAU1IBivEh6IzqAcddBCmT5+OBx54AF//+tfzzsW5fft2LFu2DGeccQZ++ctf4oILLtD8YK0o8566trY2AEAgEEAwGFS1pKoRLn5oVflPnnKEdgdC8iuzfe778QyND0Q7tRQfpVAe1U7mPXVutzt9ObMWzq5THjW5CtrHLLm0luMjk6IC9YUXXsAhhxxSdJvRo0dj4cKF+PnPf47PPvtMk4OzukIDPuR77mqxEyZEK1aLD8qj2sg34CPznrta64QJ0ZKV4kNRZi+VVDM5HA6MGzeu7AOqF8VGI2uxNjkhtcyK8UF5tHKFRiNXuiwqIVZgtfgoaxR/LBbD22+/jd27dw/qHE4++WRNDszKlEyVkzl6udbOFBFSiXqJD8qj6pSaKid39HItnSkipFJWjA/VBepzzz2HuXPnpkfUZuI4DqlUSpMDsyo18zjm64QJsbJK46NWilTKo+ooncexFjthQioVjUbR19dX1fgQRVGT/WRSnc0vu+wyzJkzB7t27UpPnC3/o6RaXDmTjOdezmSMGXCkhBhPi/iolcv9lEeVUzvJeK1eziSkHKIoore3t6rxkUgkEA6HK95PLtUFaldXF+bPn49hw4ZpfjBmx/Plr2tQyQo4mZ1wKBSiIpVYjlbxUStFaj3nUTXKXQGHilRSL5LJJJqamqoWH4lEAoFAAHa7vex9FKK6QP3e976H1atXa34gtYDnefT19al+nhbLM8qdsCiKlGyJpWgZH7VSpNZzHlWq0uUZqUgl9cDhcMDtdqt+nhbxIRenDocDHo9H9fNLUX1K8O6778acOXOwZs0aTJgwYdBcfpdffrlmB2c2oigiGo3C6XQqTpharh0uCAJ8Pl/WBLyE1DLGmKbxUSv3pNZzHlVCq7XD6Z5UYnWVXNmtJD4yi1O/349YLFb2cRSi+p09/vjjeOGFF+ByubB69WpwHJf+Hcdxlk6soijC7XanV7UplTi1LE5lDoeDEiyxBMYYQqEQJEnSLD5qpUit5zxailbFqSxfJ0wI6VdOkZpbnOqVY1UXqL/85S9xww034JprrjFl4tdbY2MjnE5nySJVj+JUVo9/d2I9iUQCoihi6NChmsaHmiK1nFt2tFDvebQQrYtTWW4n7PV6Nds3IbVOTZFqVHEKlHEPaiKRwOmnn17XSbW5uRkejweRSAQ9PT2Dfq9ncUqIVTDG4PP5dIkPJfek9vT0VO12mXrOo4IgFGwPPYpTWeY9d/KZe0JIPyX3pBpZnAJlFKjnnHMOli9frsex1JRCRSoVp4QoIwhC3vXotdx/oSJVLobKGVyghXrOozabDZFIJG976FWcZr623+8Hz/M0aIqQHMWKVKOLU6CMS/ypVAq33nornn/+eRxxxBGDOpjbb79ds4MzOzmRypf73W43FaeEKGREgst3uT8ajaaLIT2mRlGinvNoPB5HKpXK2x56Fqcym80Gn8+XztuEkAGF7tk2ujgFyjiD+s4772DSpEmw2Wx49913sXnz5qx/WrjnnnswZswYuFwuTJs2DW+++WbR7VesWIHx48fD5XJhwoQJePbZZ7N+zxjDokWLMHz4cDQ0NKCjowMfffSRJseaeSZ1165dVJwSYjKZZ1J37dplaDFUSD3nUcYYvF5vVduD4zjK0YQUkHkmdc+ePdizZ4/hxSlQxhnUl19+WY/jSFu+fDnmz5+PpUuXYtq0aViyZAlmzpyJbdu2YejQoYO2X7t2Lc4880wsXrwY3/72t7Fs2TLMnj0bmzZtwuGHHw4AuPXWW3HnnXfi//2//4exY8fiuuuuw8yZM7F161a4XK6KjzlzZL/T6aTER4jJCIIAp9OZngqlWpf2ZfWeR3mer3p7ZM6cQAjJZrPZ4PF40ssxezwew++Z1+zVtm/fjksvvbTi/dx+++244IILcO655+LQQw/F0qVL0djYiIceeijv9n/4wx/wzW9+E1dddRUOOeQQ/PrXv8ZRRx2Fu+++G0D/t/UlS5bg2muvxSmnnIIjjjgCf/rTn7Bz5048+eSTFR+vfM8px3FwuVyIxWJ5B04RQqqnp6cHsVgMLpcLHMeZdjL/esmjfX19VW8PM7Y/IWaRSCQQDAbhcDjgcDgQDAYNv29b9RnUr33ta3m/ee7atQu7du1KJ7RyJBIJbNy4EQsXLkw/ZrPZ0NHRgXXr1uV9zrp16zB//vysx2bOnJlOmp988gk6OzvR0dGR/r3X68W0adOwbt06nHHGGXn3G4/HEY/H0z/nu18p34Ao+WZ/oPQ8qYQQ/eUOwJFv9g8Gg2hoaKjKMdVzHuV5HtFoFEOGDBnUHkZdQkwmkzRIipACcgdEAajKYheqC9SJEydm/ZxKpfDf//4X//nPf/DII49UdDCBQACpVGrQ+tTDhg3DBx98kPc5nZ2debfv7OxM/15+rNA2+SxevBg33HBD1mM/+clP0v9faLR+7sApKxWp9/14RrUPgViIKIq6v0a+0eGZA6eSyaTux5BPPefRK664Am63O297GFGkJhIJhEIhOJ1O3V6jGMqjxMwKjdavxopsqgvUO+64I+/j//d//4e7774bZ511VsUHZQYLFy7MOqMQiURw0003ASg9lZSVi1RCtJJMJhGNRnVLdMWmLpKLoq6uLl1eu5R6zqO33HILGhsbs7YzqkiVO1+e52msACE5ik0lVY1lgzXLADNmzMCWLVsq2kdrayvsdvugTqOrqwvt7e15n9Pe3l50e/m/avYJ9A928ng8Wf8A5fOclprMn5B653A40Nvbq0t8KJlXUxAE060oVA95tNCZcyWLK1Qis/P1+Xw0SIqQDErmOVUymb+WNCtQX3rpJXzta1+raB+CIGDy5MlYtWpV+jFJkrBq1SpMnz4973OmT5+etT0ArFy5Mr392LFj0d7enrVNJBLB+vXrC+6zmEgkongqKb2KVCMujRKiN57n0dTUpHl8qJn0nedVX0TSVb3k0WLHrkeRmtv5UnFKyAA1k/AbWaSqzs6nnnrqoMe6urqwfv16fO1rX8v6/d/+9jfVBzR//nycc845mDJlCo4++mgsWbIE0WgU5557LgBg7ty52G+//bB48WIA/fcznXDCCbjtttswa9YsPPHEE9iwYQPuv/9+AP1TiVx55ZW46aabcOCBB6anRxkxYgRmz56t6tgEQUjf26X01LbWl/uj0WjV7psjRGtutxs8z2sWH0atSFSpes6jpWh9ub8aK+AQYhTGWEXPLyc+Ck3mrzXVBWq+S2JerxcHHXSQJgd0+umnY8+ePVi0aBE6OzsxceJEPPfcc+mb8z/77LOsP+AxxxyDZcuW4dprr8UvfvELHHjggXjyySfTc/cBwNVXX41oNIoLL7wQ3d3dOO644/Dcc8+pnrvPZrPB6/Wqvu9CqyK1p6cHvb29VZ/DkRAtaRkftVCcAvWdR5XQqkit5+KUMYaeaALd4RiSyRRsdg5NjQKGtDTAbq+fv4PVJRKJsmOwkvjILVKbmprKOoZiOFZp+V0nIpEIFixYgClTpgy6wV+pSjpQ+bmNjY2w2+2YM2cOhgwZUtZxEFJte/fuxYoVK+ByudJf+LSID7XP7evrw/nnn49wOJy+z5zoJxKJ4Oqrr8bUqVMV5dFKOtBiz00kEojFYpbLo8G9fXjr3zvw7gdd+O9nIUT7Bl9ts9s57D/ci0MOaMVRR4zAgWP9sNnolodatHfvXjz66KOQJAlDhw7VLD7UkMflxGIxLFiwQNNcqugMKmOM7tlB5afSyz1TlNn5Zq6+QoiVaBEfZj5zSnlUvXLPpNbbmdOPPgniny9sw9vvd6JUN5VKMWz/ohvbv+jGc6v/g2FtTfjW1w7A8dPGgOet/XeyIkEQ0NvbW7X4kM+kFpturux9K9nosMMOwxNPPFHyZtiPPvoIF198MW655RZNDs6K1A6cqpXOlxAtWDk+KI+WR+3AqXoqTrsjMdz98HrctOQV/Htr6eI0n649vXjkL1vwi1texHvbdmt/kERXNpsNPp+vqvEhL4uqNUVnUO+66y4sWLAAl1xyCb7+9a9jypQpGDFiBFwuF0KhELZu3YrXXnsN7733Hi699FJcfPHFmh+olSg9U1RLnS8hWrFqfFAeLZ/SM6n1VJy+834Xlj76Fnqj2oyi7trTi1vvfQ3fOvFAzPn2YXSfag1xOBxVjw89Yk1RgTpjxgxs2LABr732GpYvX47HHnsM27dvx759+9Da2opJkyZh7ty5OOuss+Dz+TQ/SCsq1QnXWudLiJasGB+URytTqkitp+J09dpP8MhfNpd1xrSUf730EXZ29uDSc6dBEOzavwDRhRXjQ9Uo/uOOOw7HHXecXsdSdwp1wrXY+RKiNavGB+XR8hXqhGux8y3XK+s+xcPLN+v6Gv/e2ok7H1yHKy84hu5LrSFWi4/aOEoLy73nrtY7X0K0RPFBcuXekxqPx2uy8y3H1g9345G/6Fucyt75YDce/f+2GPJaRDtWio/aOVILy+yEqfMlJBvFB8kld8LymSGe52uu81WrpzeOpX96C5Jk3MyQq9d+ivWbvzDs9Yg2rBIftXW0hBBCSB1a/o93Ee6JG/66j/7134j26bvmOiH5UIFqApmXLdVMsUNIPaD4ILnkM0PymSJRFBVNsVOrPt8Zxmtvbq/Ka/f0xvHMqg+r8tqkPFaJDypQqyz3njq180ASYmUUHyRX7oAPp9Opap7UWvTMix/qMmJfqVVr/ot9scGrUhHzsVJ8qC5QTzzxRNxwww2DHg+FQjjxxBM1Oah6UWjAB3XC1SVJEhIiJeNqs3J8UB4tT6HRyGon868l0b4E3tqyo6rHEIuLWL9J3b2ojDHsSxh/S0I9s1p8qC5QV69ejbvvvhuzZ89GNBpNP55IJPDKK69oenBWVmo0shU64Vp1x4t/wel/XFQzQWxFVo8PyqPqlZoqp1Y74VI2v7sLYqr67+VNlUXyP//9OjpuvxLhvl6djohksmJ8lHWJ/8UXX0RnZye+/OUv49NPP9X4kKxP6VQ5td4J16K+eAyPvfECNn32Ed769P1qH05dqpf4oDyqnNJ5HGuxEy7lvQ/3VPsQAAAffhxAUkwp2pYxhv+39l/4eM9O/PPt13U+MpJMJqseH3rEWlkF6vDhw/HKK69gwoQJmDp1KlavXq3xYVmX2nkca70TrjXPvbcenZG96EvE8ZcNL1f7cOpOPcUH5VFl1E4ybrUi9ZPPQtU+BABAUpSwY1dE0bbv7PgYGz/7EPFkAsvWr6z5NjAzSZIQCoWqGh+SJKUXVNGS6gKV4zgAgNPpxLJly3DFFVfgm9/8Ju69917ND85s5PdernInGc/shDMvBxJtMcawbP1KMMbQ7GrAM2+vxe6IOTqHeqBFfNRKkVrPeVSNclfAsUqRKkkMuwPmuUTeuUfZsazY8DJiiTiGe/14b+en2LD9A52PrH4lEgnV85xqGR+SJCEYDCKVUnZ2XQ3VBSrLGUp47bXX4rHHHsNtt92m2UGZldPphCiKZT230hVw5E64t7e37GMgxb2z42Ns2L4N3oYmeBuaEN4XxZNb1lT7sOqCVvFRK0VqPedRpSpdntEKRWrfvgRSqSoO388RUTAPa7ivF09uXoMGwYkGwYm4mMDyt14y4OjqE8dx8Pl8VYkPuThNJpPwer2qn1+K6gL1k08+QVtbW9Zjp512GtavX4+HHnpIswMzI0mSEA6HkUiom7RYq+UZm5ub0dTUhGSSRpjrYcWGlxFLxuF2umC32WCz2fD4+heRkrT/ZkgGaBkftVKk1nMeVUKrtcNrvUhNJM11vEmx9PH849+vIRANw9vQBI7j0Ci46GqUjgRBKPvqbiXxkVmctra2guf5so6hGNVRP3r06Lx/jMMOOwznnHOOJgdlVolEAna7HYFAQHGRqvXa4W63Gw6Ho+L9kGzpb/0OZ/rz7Wtsxn/2fIE1H71d5aOzrmg0qml81EqRWs95tBStilNZLRepPG+uqcp5e/HjkSQJy9a/CI5x4O12AEhfjXqKrkbpotJbD8uJj9ziVBCEio6hEHN9+muAx+OBw+FQVKRqXZzK9PimUu/++fbrCPT2f+uXuRwCkqkUnnhrVRWPzLpEUURvb6/m8aGmSKXbZcxF6+JUltsJ595iYVbuBgcqrD801eQuXoi89en72LrrU7S4B/KofDXqsfUr6WqUSakpUo0qTgEqUFWz2Wzw+/0li1S9ilOiPUmS8NgbK8Fh4Fu/rMnZgBe3bsDne7uqdHTWlUwm0dTUpEt8KClSE4kEwuGw5q9Niiv0BVuv4lSW2QmHQqGaKFLtdhva/O5qH0basLamor//y1svIy4m0OBwZj3ua2zGx3t20NUoE1NSpBpZnAJUoJalVJFKxWlt2bD9g0Hf+mWehkb0xvfh75vp8pTWHA4H3G79Ot9iRapcDNlzvpAQ/fE8j76+vqzH9C5OZZlrk6sdS1Ato/dvqfYhAABsNg4jh3sK/n53JIRn3lmLRsE16LKzfDVqOV2NMrViRarRxSlABWrZChWpVJzWnuVvvZT3Wz8A2DgbHHY7lq1fScufasyIW1XyFamZxZDHU7jDJfoQRRHRaDRve+hZnMoEQYDP56uJM6gAcOiBbaU3MsC40UPgdBaO2Se3rEF4XzTrNqlMTc4GrNy6AV/s3a3XIRIN5CtSq1GcAlSgViS3SA0Gg1Sc1pjdkRCefnst3EJDwZvNWxqb8fne3Xjx/Q0GHx3RQmaRGgwGDS2GyGCiKMLtdle1PRwOh2GdbKWOmjDcFPehTjlyRMHfpaQUlq1fCZvNBnuBNpSvRv1t86t6HSLRSGaRGggEEAgEDC9OASpQKyYXqYwxxGIxuFwuKk5ryJNb1iCyLwpPQ+FLzU7eAYlJePzNFw08MqKl5uZmuFwuxGIxMMaoOK2yxsbGqrdHrbR/i7cBRx7aXtVj4O02HDNlZMHfv/rhv/Hxnh3wNRbu++hqVG0RBAF+vx/JZBLJZBJ+v9/wL3W1EaEml7m6Uzwer5l7m+qdkm/9smZXI9b+5x181PW5QUdHtJRIJBCPD0wyTiuyVZcoilVvj1q5xA8AJ804qKqvf/y00fA0uwr+fvmGl5BMpeByFC9gfP+7GrXq/Y1aHyLRWO7ypZFIxPAp2qhArVDmPafDhw9XPAUVqb41H71d8lu/rNnViGgihr9uXK3/gRFNZd7jOHz48JqYJ9XKOI5DOByuanswxmoqRx88rhUTD6vOWVSnYMfJM8cX/P3ne7vw4tYNaHI2lNyXwDuQoqtRppd5z2lbWxva2tqqMo8wFagVyB0QpXQKKmIO//z369iXiGNvNIKd3QHsCAUGnVUJ9HRjZ3cAu8JBiKkU/rbplZqa6NvMjPg75huAk3lPau5ocqI/p9MJu92etz2MKFIlSaqZaaYy/fC0I+EqMkhJL9/79mEY0lK4+PzXu+sRjccQje/Dzu4AvgjtRjKVPb9wd18vdnQHsLM7gJSUwhv/fQ87Qnv0PnRShnwDoqq12AXN+F6mQqP15SJVvvnf6JuKiXKnHvUVjBoyDADwaXAXlr/1EiTGYM8YkZBIiTj+wCNxzLjDAQBtzS01c++a2SUSCV0HqxQbHS7H7N69e3V5bVKYJEnweDx520O+pKjXffxy5yuKIpqais/paTZtfjd+dPokLP3TW4a95sTD2tFx/Lii25xw0ERc862zAADhfb14+PVnkUyJcNgHyot9yTjGDxuJ2ZO+AgBoEJwY4qYZNMym2Gh9uUiVB4Qbcd84FahlKDWVFBWpteHYA47AsQccAQBYufUtLH/rpbzbHb7fWFzRMcfIQ6sLHMchFArpUqQqmbqoubk56z5IYoxEIlGwPQD9itTMztfn8yGVqr1VjaZPHoldXT146vkPdH+tUft5cdHcqbDZik8hcHD7KBzcPgoAsD3YiYdffzbvdkM9PsqjJqZkKimji1Q6FaRSX1+foqmk9LzcT5eYiRUIggCe5zWPDzXzajY2Nmr2uqRyel3uz+18HQ6HZvs22ne/dQi+3aHvoKnR+7fg6kuOQ4Ordv9ORDk185waebmfClQVeJ5HNBpVPM+pHkVqMpmke1uJJXAcB5/Pp2l8GD3pO9Ge1kVqtSYZ1wvHcZjzncNx7umTwNu1/3xPOWIEFl52PJqbBi9cQqynnPgwqkil7K0Cz/Nwu92qLj1pWaQmEgmEQqGCE8oTUms4jtM0Pqg4tQatilSrFaeZvnrMWFz/s69h7CifJvtrbHDg3DMm4dIfT6vKmVPGGFI0P6pqoiiW3qiASuLDiCKV7kFVQRTFsi4JanFPqtz58jxvqSRLiJbxQcWpdVR6T6qVi1PZqP28WPTTr2Ldxs/x9Mpt2Nmlvph3OXmceOxYnDTjoKqeNQ3u/BTbNq7GkPZRaB8zHi1tI+hkjALJZBLRaFT151uL+Mi8JzWZ1P7LBRWoKlTyTaWSTjh37XAa2EGsRqv4oOLUWsotUuuhOJXZbByOnToKx0wZiW0fB/Hmli/w7ge70bWnt+Bz3I0OHDyuFZOPGIEpR+5XlemrciUTcST29aHz023Y/dl/0Oj1YcTYQ9A28gAICuZYrVcOhwO9vb3geb4q8SEXqV1dXWXvo5DqfyrrSDmdcG7nW0mRTIiZaREfVJxaj9oitZ6K00wcx2H8Aa0Yf0ArACDal0Dn7l50R2JIJFKw2zk0uQW0+d3w+xpLjs6vCo6Ds7EJUiqFaHcQH25ag0/eewtD9z8A7WMORvOQoXRWNQfP82hqaqpqfAiCAK/XW/F+clGBajA1nTB1vsbb2R1AZv5L0BcCQ1F8kHyUFqn1Wpzm424UMG7MkKq89p6e7qzlo/cTXJjCO7Ft4ysFnxOL9t+ewHEc7DwPO98EJkkQk3Hs+Phd7Pr0fTT7hmL42EPQtv+XwJdYVrWeuN1u8Dxf1fjgee3LSSpQVUqxFJJS5fdaeHwedO/txp7AHviG+OAQsm9KTyaSCO0Nged5eHwepJBCSkpBZCJSLIXeVC94kZpPK6OGtuK7k49DMs/ciFPHHYSIGMnzLFKu3lQvUqz/88xJg8+IlBsfaqVY7c2FaQXl5FGX2wVREtEd7oYoiWhqzp5oX5IkdO/thiiK8A3xgeO5gq9BeVQfbrcDp045Hj2xfVmPH8w4HMrx2PHxu0Wfz9ls2THJATZBAOdwQEqJ6A7sRHdgJ/7zzloMGTkW/lFfQqNXm0FitSgzj2oZH+XQI5dSZKoUSoXgELUZ4cg8DInuBDoDnXD6nLA5+r9xSkkJ8VAcHM+B83DYK+0F/jdAThIlpFIpvB55HU6OpgHR0oyvfynv433oxIvdnQYfjbXFI3H0pHrQJ/bBxuU/81lOfKiVTNGo4WooO482AExi2BvZix6pBw53/z6YxBDvjoOJDE6fE2FbGChy8YPyqH6O/er+gx5z/CcEbI8gJpQqYlLYV2wkvwBAYojHwujdthmf/effSLU4kRrRhFRrA6DDtFtmNiiPahQf5dAjl1KBWkWcjYOzxYl4dxzxUBxOX3+ilDtfZ4sTnBnvEyLEABQfJB+500329neIfAOf1fnKX2SIRdk4MMEOMAakGOyBfbDvjYE18IhNbgec9mofYVVZKT6oQK2yzE44tjcGALA5bNT5EgKKD5JfZiec7E2C47ia63xJBf5XnHIi6y9YnXaI7W6A2h+AdeKDClQT4GwcHE0OxEP900c5mhzU+RLyPxQfJB++gU+fJbIJtprrfOsOAyCx4ttwAIqN0pcYOFHq34/dhpTfVbeX90uxQnxQgaqSz+6Di3dpus9kIolQJAS34AYApCIpeId4Bw0MAYAkSyIuxnGs51i0tLRoehyEGKWbdSNkD8HJO+Hgi9+LqCY+1IrZYxXvg6hXaR6VJAnd3d1w2V1wCA7EY3G49rkGDQwphPKosXa638Yu/h0gVbxAlSQJTnd2GzLGIKVEpP63ypzD1UADpP6nUB6tND7KoUcupQJVJTtnh8Om3TJwiUQC3Xu7ITgE+P1+AEAwGET33u6800AwjkHkRDTZm+DhPZodByFGEu0i7JwdPMcXjSe18aFWkqNBUtVQSR6VJAndoW6kxBTaWtsgCAJ6enoQiUTA25RNVk551FiN449Ge/u4otvs7foM27duhJ3rv4dUnmIqJYqw2e3w+odjxJcOpSmmMuTLo1rERzn0yKVUoFZRoXkcK132kRAroPgguQrN41jpsqhEX7xDQEvb8KLb7OsNAwBSoggxEQNjDA6nC+2jx2PYmIPgGTKMJukvwWrxQQVqlRSbZFyLtckJqWUUHyRXqUnGa7UTJpk4pJIJuL1+DB97CIaOomVOlbJifFCBWgVKVsChTpjUK4oPkkvpCji12AmTfh7/MOx/4AS0jhiDlqH70dlSFRhjloyP2hvWVePULM8od8IOhwOBQACJ/90kTohVUXyQXGqXZ2xubobH40EkEkFPT49BR0kq5fb4cOCk4+Abtj8VpyowxhAKhaoeH319fZrtS0YFqoHKWTs8txNOJmlQB7EmLeKDilRrKXftcCpSSb1IJBIQRbGq8dHT04NoNFrxfnKZpkBNJpNYsGABJkyYALfbjREjRmDu3LnYuXNnyefec889GDNmDFwuF6ZNm4Y333wz6/exWAzz5s2D3+9HU1MTTjvtNHR1dak+RkEQIEnlralYTucry+yEQ6FQ2cdAiFlpFR/1XqTWQh5VqtziVEZFKqkHjDH4fL6qxYc8Q4Db7S57H4WYpkDt6+vDpk2bcN1112HTpk3429/+hm3btuHkk08u+rzly5dj/vz5uP7667Fp0yYceeSRmDlzJnbv3p3e5qc//Sn++c9/YsWKFXjllVewc+dOnHrqqaqP0WazIRKJqC4QK+l8M1/b7/eD5/m67oCJ9WgZH/VepNZCHlWi0uJURkUqsTpBEOBwlDdlW6XxIRenHo8HjY2NZR1DMaYZJOX1erFy5cqsx+6++24cffTR+OyzzzBq1Ki8z7v99ttxwQUX4NxzzwUALF26FM888wweeughXHPNNQiHw3jwwQexbNkynHjiiQCAhx9+GIcccgjeeOMNfPnLX1Z8jPF4HKlUCsFgUHFHqkXnK7PZbPD5fOkbnAmpdclkEuFwWLP4qPeBU7WQR0vRqjiV1drAEELUqCRnAuXHR2Zx2tzcXH/3oIbDYXAcV3Clj0QigY0bN6KjoyP9mM1mQ0dHB9atWwcA2LhxI5LJZNY248ePx6hRo9Lb5BOPxxGJRLL+Mcbg9XqRTCYRDAZLnknVsjiVcRxXd50usSZJkhAKhTSND7VnUuvhdhmz5dFitC5OZXQmlZDC1MZHbnGqF9MWqLFYDAsWLMCZZ54Jjyf/Sh+BQACpVArDhg3LenzYsGHo7OwEAHR2dkIQhEHJOXObfBYvXgyv15v+N3LkSAAAz/NobW0tWaTqUZzKaIQjsYJEIgGe5zWPD6VFqiRJlr8aYcY8Wih/6VWcyjI7YT0GdBBSy5QWqUYVp0AVC9THHnsMTU1N6X9r1qxJ/y6ZTOL73/8+GGO47777qnJ8CxcuRDgcTv/7/PPP078TBKFokapncUqIVXAcB5/Pp0t8lCpS5WIolUpp/tpGqsU86nQ6IYpi1nZ6F6cyuRPu7e0ddAyE1LtSRaqRxSlQxXtQTz75ZEybNi3983777QdgIKlu374dL730UsFv/QDQ2toKu90+aCRpV1cX2tvbAQDt7e3963l3d2d9+8/cJh+n0wmn01nw93KRGggEsu5JpeKUEGUEQdD1akChe1IziyGv16vb6xuhFvOoJEkIh8NwuVyD2sOI+4abm5shimLdDqQjpJhC96QaXZwCVTyD2tzcjAMOOCD9r6GhIZ1UP/roI7z44ovw+/1F9yEIAiZPnoxVq1alH5MkCatWrcL06dMBAJMnT4bD4cjaZtu2bfjss8/S25Qr90xqPB6n4pQQhYy4VSX3TGo8Hs8qhnjeNONEy1KLeTSRSMBut+dtD6Pur3e73WWPfCbE6nLPpFajOAVMNIo/mUzie9/7HjZt2oSnn34aqVQqfW/TkCFD0olrxowZ+O53v4tLL70UADB//nycc845mDJlCo4++mgsWbIE0Wg0PRrV6/XivPPOw/z58zFkyBB4PB5cdtllmD59uiYjT+Uidc+ePVScEmJCcpEaCAQQCAQAAG1tbRAEwXKXeWslj3o8HvT19Q1qDyPV+pcTQvSUeybV6OIUMFGBumPHDvzjH/8AAEycODHrdy+//DK++tWvAgA+/vjjdFIDgNNPPx179uzBokWL0NnZiYkTJ+K5557LuuH/jjvugM1mw2mnnYZ4PI6ZM2fi3nvv1f09EUKIkSiPEkKswjQF6pgxY8AYK7ndp59+OuixSy+9NH0mIB+Xy4V77rkH99xzTyWHmJd8z6kgCPB4PAgGg6rmSSWE6Eu+x1FeDjASiaTvSbWaWsmj8lmZ3PYw8iyq1c6eE6KlzMv6QHXmEaYKqgK5A6KcTqeiKagIIVBUSFUqdwCO0+nMuieVihTjCYKAVCqVtz2MGrgUjUaRTCYNeS1Cak3uPafVmkeYCtQyFRqtX2oKKkJIv0QioWuRWmh0eObAqXA4rNvrk/xsNhu8Xm/e9jCiSO3p6UFvby8NkiIkj0IDoqpRpFKBWoZSU0lRkUpIaYwxhEIhXeKj1NRFclFkt9s1f21SXDweHzRAyagiVe58m5qaaJAUITlKjdY3ukilAlUlURQVjdbXs0g14tIoIXqTR9FrHR9K59W02WxF5wcl+iiUv/QuUjM7X7fbrem+Cal1SqeSMrJIpQJVBY7jEA6HFU8lpUeRyhijCaaJJdhsNvh8Pk3jQ+2k7zSQ0Vz0KlKrNY8jIbVAbXwYVaRSdlbB6XTCbrerGqGvZZEqSRJCoRCdQSWW4XA4NI2Pakz6TrSldZFKxSmxskq/2JcbH0YUqVSgqiBJEjwej+qzLloUqZlT5VDHS6xEy/ig4tQatCpSqTglVpdIJMqekaLS+MgsUvv6+so6hmKoQFUhkUiUfUmwkk44s/P1+Xx0WZJYjlbxQcWpdVRapFJxSuoBx3EIhUJViw+5SI1Go2XvoxCqdAxUTiec2/nS1CjEqrSIDypOraXcIpWKU1IvBEEAz/NVjY/m5mZdBh5SgWowNZ0wdb6k3lB8kFxqi1QqTkk94TgOPp+v6vHR2Nio2b5kVKBWgZJOmDpfUq8oPkgupUUqFaekHnEcZ8n4oAK1Sop1wtT5knpH8UFylSpSa63zJURLVowPKlCrKF8nTJ0vIf0oPkiuQp1wLXa+hGjNavFBa71VmdwJBwIBBAIBAP2rVVHnSwjFBxlM7oSDwSACgQCcTidisVjNdb6E6MFK8UFnUE1AEAT4/X4kk0kkk0n4/X7qfAn5H4oPkkvuhBljiMVicLlcNdf5EqIXq8QHFagmIEkSIpFI+udIJKLp2uSE1DKKD5JP5ryL8XicloAmJIMV4oMK1CrLvKeura0NbW1tmq5NTkgto/gg+WTeUzd8+HDNlkUlxAqsEh9UoFZRvgEfWiz7SIgVUHyQfHIHfGi1LCohVmCl+KACtUqKjUamTpjUO4oPkk+h0ci13AkTohWrxQcVqFWgZKoc6oRJvaL4IPmUmiqnVjthQrRgxfigAtVgauZxpE6Y1BuKD5KP0nkca7ETJqRS0Wi06vEhiqJm+5JRgWqgciYZz+2EGWMGHCkhxtMiPqhItR61k4xTkUrqiSiK6O3trWp8JBIJhMPhiveTiwpUFXi+/HUNKlkBJ7MTDoVCVKQSy9EqPqhItZZyV8ChIpXUi2QyiaampqrFRyKRQCAQgN1uL3sfhVCBqgLP8+jr61P9PC2WZ5Q7YVEUKdkSS9EyPqhItY5Kl2ekIpXUA4fDAbfbrfp5WsSHXJw6HA54PB7Vzy95jJrv0cJEUUQ0GkVPT4/i52i5drggCPD5fHQGlVgGY0zT+KAi1Rq0WjucilRidZVc2a0kPjKLU7/fD5tN+3KSClQVRFGE2+1GJBJRVKRqWZzKHA4HLfNILIExhlAopGl8UJFa+7QqTmVUpBJSWDnxYURxClCBqlpjYyM8Hk/JIlWP4lSm14eBECMlEgmIoqh5fKgpUsu5ZYfoR+viVJbbCSeTSc32TUitU1OkGlWcAlSglqW5ublokapncUqIVTDG4PP5dIkPJUVqT09P1nrVxBiCIBRsDz2KU1lmJxwKhejsOiEZlBSpRhanABWoZStUpFJxSogygiDA4XDouv9CRapcDJUzuIBUxmazIRKJ5G0PvYrTzNf2+/3geZ4u9ROSo1iRanRxClCBWpHcIpWKU0KUMyLB5StSM4uhxsZG3Y+BZIvH40ilUnnbQ8/iVGaz2eDz+cBxnO6vRUityVekVqM4BYDyh38RAEgn1EgkgkgkAo7jqDglxETkIjUQCGDXrl0AkC6G6B5U4zHG4PV60dvbO6g9jMJxHOVoQgqQi9RgMIg9e/YA6M+jRhanAJ1B1UTmZUKn00mJjxCTEQQBTqcz/TNd2q8unuer3h50BpWQwmw2W9bcph6Px/AB2lSgVki+rM9xHFwuF2KxmKp5Ugkh+uvp6UEsFoPL5QLHcTQFVZX19fVVvT2o/QkpLJFIIBgMwuFwwOFwIBgMGn7fNhWoFci959Tv9yuagooQYpzMexz9fj/Nk1plPM8jGo1WtT2SySQNkiKkgMx7TltbW9Ha2lqVeYSpQC1ToQFRpaagIoT0E0VR99fINwAnc+BUJBLR/RhINp7n4Xa787aHEUVqIpFAKBSiS/yE5JFvQFS1FrugArUMpUbrU5FKSGnJZFLXeUiLjQ6Xi6JUKqXb65P8RFEcNHuCUUWq3PnyPE9jBQjJUWy0fjWKVCpQVVI6lRQVqYQU53A40Nvbq0t8KJm6SBAEeL1ezV+bFFfozLneRWpm50vTTBGSTclUUkYXqVSgqhSJRBTPc6pXkWrEpVFC9MbzPJqamjSPDzXzavI8zbRnJnoVqbmdLxWnhAxQM8+pkUUqFagqCIKAVCqlap5TrYvUaDRK60gTy3C73ZrGh9GTvhPtaV2kVmuScUKMwBir6PnlxIdRRSpFqgo2mw1er1f1vUtaFak9PT3o7e3VdXlIQoymZXxQcWoNWhWpVJwSq0skEmUXqZXER26RqseVXYpWFeLxeNmXBCvthOXOt6mpiS5LEsvRKj6oOLWOSotUKk5JPWCMIRQKVSU+MovUcDis+vkl96/5Hi2s0lPp5XbCmZ0vrYBDrEqL+KDi1FrKLVKpOCX1QhAEiKJYtfiQi1S73V72PgruW/M9kqLUdsLU+ZJ6QvFBcqktUqk4JfXEZrPB5/NVNT5yl0XVCkVuFSjthKnzJfWI4oPkUlqkUnFK6pG84lM140OPWKPorZJSnTB1vqSeUXyQXKWKVCpOST2zYnyY/wgtrFAnTJ0vIRQfZLBCnXAtdr6EaM1q8UHDwatM7mAz1wSnzpeQfhQfJJfcCQcCAQSDQXg8HgSDwZrrfAnRg5XigwpUE8jthKnzJWQAxQfJJXfCe/bsqckzQ4ToySrxUVtHSwghhBBCLM+0BepFF10EjuOwZMmSktvec889GDNmDFwuF6ZNm4Y333wz6/exWAzz5s2D3+9HU1MTTjvtNHR1del05Opl3lOn5bKPhFgBxUf5rJpH5Xvq5DNFaueBJMTKrBIfpixQ//73v+ONN97AiBEjSm67fPlyzJ8/H9dffz02bdqEI488EjNnzsTu3bvT2/z0pz/FP//5T6xYsQKvvPIKdu7ciVNPPVXPt6BY7oAPrZZ9JMQKKD7KZ9U8mjvgw+l0arIsKiFWYKX4MN09qDt27MBll12G559/HrNmzSq5/e23344LLrgA5557LgBg6dKleOaZZ/DQQw/hmmuuQTgcxoMPPohly5bhxBNPBAA8/PDDOOSQQ/DGG2/gy1/+ct79xuNxxOPx9M+RSAQ2mw2iKCKRSGjwToFoNIre3l40NTXB6XSm9+t0OtHY2Iju7m6Iopi1elQymYQoirosK0aIUcLhMERRRDKZLLhNOfGhlh7rR5uBVfNoMplEKBQCz/PweDxZ7ef1ehEKhbB79274fD5wHFd0P5RHSa3LzaNaxUc59MilpipQJUnC2WefjauuugqHHXZYye0TiQQ2btyIhQsXph+z2Wzo6OjAunXrAAAbN25EMplER0dHepvx48dj1KhRWLduXcHEunjxYtxwww1Zjy1cuBDBYFCTG41FUYQkSbDZbIhEIlmjlDO3CQQC2Lt3L3i+v6kkSQJjDM8++2z6sXJJkoREIgGO4yAIQt4PrJJtKsEYQyKRAGMMgiDk/dsq2aZScpA7HI6Cf1cl21SintpDFEV0d3eD47i8zy83PtSqpbMJSlk1j0qSBFEUwXEceJ5HZ2dn3m327duH3t5e8DxfMD7KzaOUrwbUU74qpVrtkZlH5Z+1iI9y6JFLTVWg/va3vwXP87j88ssVbR8IBJBKpTBs2LCsx4cNG4YPPvgAANDZ2QlBENDS0jJom3wNKFu4cCHmz5+f/jkSieC+++4DUPmKCYlEAqlUCna7HYIgFNxOEIT0tvLPQH/AOZ1OOByOso8hmUwiEomA5/mS36YcDgdCoRBSqZSm37wYYwiFQhBFET6fr+j7cblcCIVC6O3tLbmtWtFoFNFoFE1NTSXPxmWe1avkzF2uemuPZDIJm82Wt0CtND7UsGKBasU8mkqlkEwmwXEcHA5HwefKn6lEIoFkMlm0IFGbRylfDai3fFVMNdtDzqOMMc3jQy05D2upagXqY489hp/85Cfpn5955hn84Q9/wKZNmzT/llUOp9MJp9M56PFCZ3yUisfjSKVS4Hk+7/5zuVwuxOPxrG9fkiTB4XCU1SED/QVAOByG0+lUNPWEIAhwOBwIBAKIRCKaTFchSVL6fpihQ4cqei9Dhw5FMBhEOBxGa2tr2e8/U09PD/r6+tDS0qJo6iJBEMDzfDo5azHdUb22hxxLmcdeaXwoeU7uMdSyesijctvabDY4nc6Sz8vthAs9R00epXw1oF7zVT5maA+5ONU6PtSQr25orWqDpE4++WRs2bIl/W/t2rXYvXs3Ro0aBZ7nwfM8tm/fjp/97GcYM2ZM3n20trbCbrcPGkna1dWF9vZ2AEB7ezsSiQS6u7sLbqNUpQlf7kiVdr4yp9MJnuc1uf+13BUllK6FrYScXJLJpKpEYbPZ4Pf708mu0r9FuSsSaTlQh9pjgBbxkXm/Yz2oxTyqhpzzOI5T1ZHyPA9BEMAYQzwet0R8UL7qR+0xQL6XutrxoVferVqB2tzcjAMOOCD978ILL8Tbb7+dlWxHjBiBq666Cs8//3zefQiCgMmTJ2PVqlXpxyRJwqpVqzB9+nQAwOTJk+FwOLK22bZtGz777LP0NkrZbLayG7Lczlcmd8KpVKrsbyqVLnemRZIpN7nItEoylS6XqUWSofYYoFV81FuRWot5VKlyi1OZFp2wWeKD8lU/ao8BiUQCoVCo6vERj8fBGNPlPmfT3IPq9/vh9/uzHnM4HGhvb8fBBx+cfmzGjBn47ne/i0svvRQAMH/+fJxzzjmYMmUKjj76aCxZsgTRaDQ9GtXr9eK8887D/PnzMWTIEHg8Hlx22WWYPn16wRv7ixFFEXa7XVVjVNr5ypxOJxhjkCQJ0WhUVXBqtRZv7jJqavZVaXKRyUkmGAwiEAio3pdWa7nnrnCkZl/UHgO0jA9gYDRpJfuqVbWSR0uptDiVyXk6kUggHo+r2pdZ4oPyVT9qjwFye/A8D7vdXvbV3UrjQy5O5UJXa6YpUJX6+OOPEQgE0j+ffvrp2LNnDxYtWoTOzk5MnDgRzz33XNYN/3fccQdsNhtOO+00xONxzJw5E/fee6/q15YHbsjfupQUqVp1vjJ5YIg8Ck/Jh1qr5JJ5DGqTjFbJRVZuktEqucjKSTLUHgPkQU5axQcVqcpUM4+WolVxKsvXCZdilvigfNWP2mNAZns0NzdXfMWonCI1tzjleb7olIHl4pgeZa8FRSIR/Pa3v4Xb7UYqlcpqmEK0Lk6B/g+GJEnweDzo6+srGShaJ5dy9q11cil331onl3L2Te0xcKyff/65psVpJqWxF4/Hce211yIcDsPj8Wh6DGQwOY82NTXlHUmtdXFaaN/yGZ/hw4cP+oyaIT4Aylcyao8BuX8zURSxa9euQYNNy6E09vIVp0D//bC/+MUvNM2lplxJyszkxpNHwRW6H1SP4jST2+0ueQ+LnskFUHZPkZ7JBVB+T5GeyQVQdk8RtceAaDQKSZJgt9t1iQ8l96SKomjZifrNrNDnXs/iFFB2z51Z4oPyVT9qjwF6t4fS+MhXnOqFCtQyyNM5FCpS9S5OZcU+1Hp/mGXFkozeyUVWKsnonVxk1B79lLRHb28vbDabbscAFC9StVwRjqjDcdygnKl3cSrL7IRTqZRp44PyFbVHJqPao1iRanRxClCBWrZCRapRxaks34faqA+zLF+SMSq5yAolGaOSi4zao1+p9mhqajIkweUrUjOLIS0n7CbKyAM987WHnsWpLLMT7u7uNmV8UL6i9qhWe+QrUqtRnAI1OEjKTOQiNR6Ppye9lSTJsOJUlnmjtXyjs1EfZlnmje/y4AtRFA1JLrLcG9+dTidisZhhyUVG7dGvWHs4nc68y5fqIXPglLzEpVwM6bH6CSlOXsI2X3sYFR92ux2MsfRyuYC54oPyFbVHNdsjc+BULBZLP25kcQrQGdSKyUWqfFZA/tlozc3NcLlciMViYIwZ+mGWCYIAv9+PZDKJZDIJv99vWHKRyUmGMYZYLAaXy2VocpFRe/QzS3vIxY9cEBlZDJHBeJ6venvYbDa0tLRQfIDylYzaY0DmmVSjz5zKKENrIHN6BflbudHkb1qyaDRq+DFIkpR1ViwSiVRlrfPM9y6f3TYatccAM7SHKIpZ8/TpMSUKUU4uTGXVaA9JktDb25v+uZ7jg/LVAGqPfpIkZcWlfIXYSFSgVijzntOGhoaSo/v1kHmPyvDhwzVbRk2NzHuG2tra0NbWpsmydmpl3jM0fPhwzZa1U4PaY0Ch9jCyIMm8x7GhoaEuV5wyE3mQVDXbQx4kJYqiKeOD8hW1R7XbQ77n1Ol0pq8SV7osqlpUoFYgd0BUqdH9esh3A7WWa/0qke+Gdi3XXlYq94Z2rddeVoLaY0Cx9giFQoYcQ74BOJkDp2iaKePJlyrztYcRRWpm5+vz+UwZH5SvqD2q2R65A6K0WBa1HFSglqnQaH0ji9Rio/uM+lAXG21pZJIpNNrSyCRD7TGgVHvIBYmeg5SKjQ6Xi6JqXEIk/cuv5msPvYvU3LXDM2dxMFN8UL6i9qhWexQarV+NIpUK1DKUmkrKiCI1mUyWnHpC7w+1kqlAjEgypaYCMSLJKJkKhNqjnzw4Rc/4UDJ1EQ2Uqo5UKpV37XC9i9Tczjdf25slPihf9aP2GGBEe5SaSsroIpWys0ryZcFSU0npWaRKkoRQKKRo6gm9PtRq5qnTM8konadOzySjZp46ao9+NpsNdrtdl/hQM6+m0aNSSXF6Fam5na/dbi+4rVnig/JVP2qPAXq2h9J5To0sUqlAVUGeFkXpPKd6FKnyjf08zyueekLrD3U5kyjrkWTUTqKsR5IpZxJlao9+esSH0ZO+E+1pXaSWM8m4WeKD8lU/ao8Bme2hxej+cuLDqCKVsrcKHMepnudUy044s/NtaWlR1flqlWQqWeFDyyRT7gofWiaZSlb4oPboJxeSWscHFae1TasitZIVcMwQH5SvBlB7DJDbo7e3t6KcWUl85BapmdPGaYUyuAryjfVqaVGkZna+dru9rM630iSjxfJzWiSZSpef0yLJaLH8HLVHP63jg4pTa6i0SNVieUazxAflq37UHgOam5vR1NQESZLKOgYt4iOzSNVj6kDK4ipU8o2tkk5Yy8633CSj5drIlSQZrdZGriTJaLk2MrVHP7PEBzGXcotULdcON0t8UL7qR+0xwO12w2azIZVKVS0+5CJVD5TJDVROJ5zb+eYb/aqW2iSjZXKRlZNktEousnKSjJbJRUbt0U+L+KDi1HrUFqladr4ys8QH5at+1B4DeJ6H3W6vanzIc6VqjbK5wdR0wnp2vkqTjB7JRaYmyWidXGRqkoweyUVG7dHPLPFBzEVpkapH5yszS3xQvupH7TFA/qxXMz70yL+U0atASSdsROdbKsnomVxkSpKMXslFpiTJ6JlcZNQe/cwSH8RcShWpena+MrPEB+WrftQeA8wQH1qjrF4lxTphIzvfQknGiOQiK5Zk9E4usmJJxojkIqP26GeW+CDmUqgTNrLzNUt8UL7qR+0xwAzxoSXK7FWUrxOuRuebm2SMTC6yfEnGqOQiy5dkjEwuMmqPfmaJD2IuuZ1wNTpfs8QH5at+1B4DzBAfWqmdI7UouROOx+PpbzzyY0Z2vnIARyIRRCIRcBxnWHKRyUkmEAhg165dAGBYcpHJSSYYDGLPnj3p4zIqucioPfqZJT6IuchzUctfWjiOM7zzNUt8UL7qR+0xwAzxoQXK8CZgs9ngcDjSPzscjqp0vm63O/3/TqfT0OQiEwQhayGEzGMyis1mg8fjSf/s8XioPfIck1HMEh/EXDI/ExzHVaXzNUt8UL7qR+0xwAzxUSnK8iaQedlSj7XJlZAvy3AcB5fLhVgspulav0r19PQgFovB5XKB4zjN115WIpFIIBgMwuFwwOFwIBgMarr2shLUHgPMEB/EXOTLlvLqfvLPRjNDfFC+GkDt0c8s8VEpKlCrLLPzdblc6cAyshPOvWfI7/druvayUpn3DPn9fs3XXlYi856h1tZWtLa2arr2shLUHgPMEB/EXHLvqWtoaNBkWVS1zBAflK8GUHv0M0t8aIEK1CrKN+BDi2Uf1Sh0Q7tWay8rle+Gdi3XXlYi3w3tWq69rAS1xwAzxAcxl0IDPipdFlUtM8QH5asB1B79zBIfWqECtUqKjUY2qhMuNdrSqCRTbLSlUUmm2GhLo5IMtccAM8QHMZdSo5GN6oTNEB+UrwZQe/QzS3xoiQrUKlAyVY7enbDSqUD0TjJKpgLRO8komQpE7yRD7THADPFBzEXpVDl6d8JmiA/KVwOoPfoxxkwRH1qrvWFdVcIYA9AfmMlksuz9SJKU7kx5nkcqlUIqlSq4vd1uRzKZRDweRyqVAsdxAIB4PF52pyxJEiKRCFKpFLxeb3oqimLH4HQ6sXfvXsTjcTQ2Npb1urn6+voQjUbhdrtht9vR19dXdPumpiaEw2F0dnZqNjJSFEWEw2HY7XY0NDQgFosV3b6hoQHJZBJdXV3wer2ajIysx/ZIpVKQJAmMsazPf6XxofYzIXdWcnwTfZWTRxlj6W15ns/6OR/50qooipAkKW+MysehJo9SvupXj/mqkGq3h5wfM3OmFvFRDrno1jKXcowysyJffPEFRo4cWe3DIITo4PPPP8f+++9f7cOwPMqjhFiblrmUClSFJEnCzp070dzcnD6LGYlEMHLkSHz++edZ855ZEb1Xa6qn9woMfr+MMfT09GDEiBE0t6oBKI/Se7Wqenq/+d6rHrmULvErZLPZCn4r8Hg8lv9Ayui9WlM9vVcg+/16vd4qH039oDzaj96rddXT+819r1rnUjplQAghhBBCTIUKVEIIIYQQYipUoFbA6XTi+uuvz1r716rovVpTPb1XoP7eby2opzah92pd9fR+jXqvNEiKEEIIIYSYCp1BJYQQQgghpkIFKiGEEEIIMRUqUAkhhBBCiKlQgUoIIYQQQkyFCtQCLrroInAchyVLlpTc9p577sGYMWPgcrkwbdo0vPnmm1m/j8VimDdvHvx+P5qamnDaaaehq6tLpyNXJplMYsGCBZgwYQLcbjdGjBiBuXPnYufOnSWfW4vvt9Qx51qxYgXGjx8Pl8uFCRMm4Nlnn836PWMMixYtwvDhw9HQ0ICOjg589NFHer6FkhYvXoypU6eiubkZQ4cOxezZs7Ft27aSz6vF95rrlltuAcdxuPLKK4tuZ4X3WmusnEspj1IeldXie81lujzKyCB/+9vf2JFHHslGjBjB7rjjjqLbPvHEE0wQBPbQQw+x9957j11wwQWspaWFdXV1pbe56KKL2MiRI9mqVavYhg0b2Je//GV2zDHH6Pwuiuvu7mYdHR1s+fLl7IMPPmDr1q1jRx99NJs8eXLR59Xi+1VyzJlef/11Zrfb2a233sq2bt3Krr32WuZwONg777yT3uaWW25hXq+XPfnkk+zf//43O/nkk9nYsWPZvn37jHpbg8ycOZM9/PDD7N1332VbtmxhJ510Ehs1ahTr7e0t+Jxafa+Z3nzzTTZmzBh2xBFHsCuuuKLgdlZ4r7XG6rmU8ijlUcZq971mMmMepQI1xxdffMH2228/9u6777LRo0eXTKpHH300mzdvXvrnVCrFRowYwRYvXswY609gDoeDrVixIr3N+++/zwCwdevW6fIeyvXmm28yAGz79u0Ft6nF91vqmHN9//vfZ7Nmzcp6bNq0aewnP/kJY4wxSZJYe3s7+93vfpf+fXd3N3M6nezxxx/X4R2UZ/fu3QwAe+WVVwpuU+vvtaenhx144IFs5cqV7IQTTiiaWGv9vdaaes2llEf7WSXeKI9mM/K90iX+DJIk4eyzz8ZVV12Fww47rOT2iUQCGzduREdHR/oxm82Gjo4OrFu3DgCwceNGJJPJrG3Gjx+PUaNGpbcxi3A4DI7j0NLSkvf3tfh+lRxzrnXr1mVtDwAzZ85Mb//JJ5+gs7Mzaxuv14tp06aZqk3D4TAAYMiQIQW3qfX3Om/ePMyaNWvQe8in1t9rLannXEp5tJ9V4o3yaDYj3yuvamuL++1vfwue53H55Zcr2j4QCCCVSmHYsGFZjw8bNgwffPABAKCzsxOCIAxKVsOGDUNnZ6cmx62FWCyGBQsW4Mwzz4TH48m7TS2+XyXHnKuzszPv9vLxy/8ttk21SZKEK6+8EsceeywOP/zwgtvV8nt94oknsGnTJrz11luKtq/l91pr6jWXUh4dYIV4ozw6mJHvtW7PoD722GNoampK/3vllVfwhz/8AY888gg4jqv24Wku9/2uWbMm/btkMonvf//7YIzhvvvuq+JREq3MmzcP7777Lp544olqH4ouPv/8c1xxxRV47LHH4HK5qn04da2ecinl0fpCebS66rZAPfnkk7Fly5b0v7Vr12L37t0YNWoUeJ4Hz/PYvn07fvazn2HMmDF599Ha2gq73T5oZGVXVxfa29sBAO3t7UgkEuju7i64jRFy3++UKVMADCTV7du3Y+XKlQW/9QO19X5lSo45V3t7e8n3KD+mdJ9GuvTSS/H000/j5Zdfxv77719021p9rxs3bsTu3btx1FFHpeP1lVdewZ133gme55FKpQY9p1bfq9nVUy6lPEp5NJ9afa9mz6N1W6A2NzfjgAMOSP+78MIL8fbbb2clnxEjRuCqq67C888/n3cfgiBg8uTJWLVqVfoxSZKwatUqTJ8+HQAwefJkOByOrG22bduGzz77LL2NEXLfb0NDQzqpfvTRR3jxxRfh9/uL7qOW3q+aY841ffr0rO0BYOXKlentx44di/b29qxtIpEI1q9fX5X3KGOM4dJLL8Xf//53vPTSSxg7dmzJ59Tqe50xYwbeeeedQcXCWWedhS1btsButw96Tq2+V7Orp1xKeZTyaD61+l5Nn0dVDamqM/lGnp544onsrrvuSv/8xBNPMKfTyR555BG2detWduGFF7KWlhbW2dmZ3uaiiy5io0aNYi+99BLbsGEDmz59Ops+fbpRbyOvRCLBTj75ZLb//vuzLVu2sF27dqX/xePx9HZWeL+ljvnss89m11xzTXr7119/nfE8z37/+9+z999/n11//fV5p9FoaWlhTz31FHv77bfZKaecUvUpQy6++GLm9XrZ6tWrs9qzr68vvY1V3ms+uaNPrfxea41VcynlUcqjjNXue83HTHmUCtQi8iXV0aNHs+uvvz7rsbvuuouNGjWKCYLAjj76aPbGG29k/X7fvn3skksuYT6fjzU2NrLvfve7bNeuXToffXGffPIJA5D338svv5zezirvt9gxn3DCCeycc87J2v4vf/kLO+igg5ggCOywww5jzzzzTNbvJUli1113HRs2bBhzOp1sxowZbNu2bUa8lYIKtefDDz+c3sYq7zWf3MRq5fdaa6yaSymPUh6V1eJ7zcdMeZRjjDF151wJIYQQQgjRT93eg0oIIYQQQsyJClRCCCGEEGIqVKASQgghhBBToQKVEEIIIYSYChWohBBCCCHEVKhAJYQQQgghpkIFKiGEEEIIMRUqUAkhhBBCiKlQgUrq0oMPPohvfOMbur/Oc889h4kTJ0KSJN1fixBCjER5lOiJClRSd2KxGK677jpcf/31ur/WN7/5TTgcDjz22GO6vxYhhBiF8ijRGxWopO789a9/hcfjwbHHHmvI6/3oRz/CnXfeachrEUKIESiPEr1RgUpq1p/+9Cf4/X7E4/Gsx2fPno2zzz674POeeOIJfOc738l67Ktf/SquvPLKQfv50Y9+lP55zJgxuOmmmzB37lw0NTVh9OjR+Mc//oE9e/bglFNOQVNTE4444ghs2LAhaz/f+c53sGHDBnz88cflvVFCCNHJnj170N7ejptvvjn92Nq1ayEIAlatWlXweZRHid6oQCU1a86cOUilUvjHP/6Rfmz37t145pln8OMf/7jg81577TVMmTKlrNe84447cOyxx2Lz5s2YNWsWzj77bMydOxc//OEPsWnTJowbNw5z584FYyz9nFGjRmHYsGFYs2ZNWa9JCCF6aWtrw0MPPYRf/epX2LBhA3p6enD22Wfj0ksvxYwZMwo+j/Io0RsVqKRmNTQ04Ac/+AEefvjh9GN//vOfMWrUKHz1q1/N+5zu7m6Ew2GMGDGirNc86aST8JOf/AQHHnggFi1ahEgkgqlTp2LOnDk46KCDsGDBArz//vvo6urKet6IESOwffv2sl6TEEL0dNJJJ+GCCy7AWWedhYsuughutxuLFy8uuD3lUWIEKlBJTbvgggvwwgsvYMeOHQCARx55BD/60Y/AcVze7fft2wcAcLlcZb3eEUcckf7/YcOGAQAmTJgw6LHdu3dnPa+hoQF9fX1lvSYhhOjt97//PURRxIoVK/DYY4/B6XQW3JbyKDECFaikpk2aNAlHHnkk/vSnP2Hjxo147733su53yuX3+8FxHEKhUMl9p1KpQY85HI70/8tFcL7HcqdD2bt3L9ra2kq+JiGEVMPHH3+MnTt3QpIkfPrpp0W3pTxKjEAFKql5559/Ph555BE8/PDD6OjowMiRIwtuKwgCDj30UGzdunXQ73IvJ/33v//V5PhisRg+/vhjTJo0SZP9EUKIlhKJBH74wx/i9NNPx69//Wucf/75g85eZqI8SoxABSqpeT/4wQ/wxRdf4IEHHig6OEo2c+ZMvPbaa4Mef+qpp/C3v/0NH3/8MX7zm99g69at2L59e/r2gXK98cYbcDqdmD59ekX7IYQQPfzyl79EOBzGnXfeiQULFuCggw4qmUspjxK9UYFKap7X68Vpp52GpqYmzJ49u+T25513Hp599lmEw+Gsx2fNmoVbb70Vhx56KF599VXce++9ePPNN/Hoo49WdHyPP/44zjrrLDQ2Nla0H0II0drq1auxZMkSPProo/B4PLDZbHj00UexZs0a3HfffQWfR3mU6I1jmfM4EFKjZsyYgcMOO0zxRM5z5szBUUcdhYULFwLon79v4sSJWLJkiabHFQgEcPDBB2PDhg0YO3aspvsmhJBqojxK9ERnUElNC4VC+Pvf/47Vq1dj3rx5ip/3u9/9Dk1NTToeWb9PP/0U9957LyVVQojlUB4leuKrfQCEVGLSpEkIhUL47W9/i4MPPljx88aMGYPLLrtMxyPrN2XKlLInsyaEEDOjPEr0RJf4CSGEEEKIqdAlfkIIIYQQYipUoBJCCCGEEFOhApUQQgghhJgKFaiEEEIIIcRUqEAlhBBCCCGmQgUqIYQQQggxFSpQCSGEEEKIqVCBSgghhBBCTOX/B7aNkwKmIb/mAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 800x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# make the two reference simulation with a standard plane wave source, one of them without the scatterer\n",
    "source_planewave = td.PlaneWave(\n",
    "    center=(0, 0, -1.55),\n",
    "    size=(td.inf, td.inf, 0),\n",
    "    source_time=source_time,\n",
    "    direction=\"+\",\n",
    "    name=\"planewave\",\n",
    "    pol_angle=0,\n",
    ")\n",
    "\n",
    "sim_ref = sim.copy(\n",
    "    update={\n",
    "        \"sources\": [source_planewave],\n",
    "    }\n",
    ")\n",
    "\n",
    "# for the empty simulation, we need to make sure the grid is identical to the one with objects,\n",
    "# so we use override structures to create \"phantoms\" of the objects, so that the grid is generated\n",
    "# as though the objects were there, even though they're not\n",
    "grid_spec_empty = td.GridSpec.auto(\n",
    "    min_steps_per_wvl=cells_per_wvl,\n",
    "    override_structures=[box1, box2, sphere],\n",
    ")\n",
    "\n",
    "sim_ref_empty = sim.copy(\n",
    "    update={\n",
    "        \"sources\": [source_planewave],\n",
    "        \"structures\": [],\n",
    "        \"grid_spec\": grid_spec_empty,\n",
    "    }\n",
    ")\n",
    "\n",
    "# visualize both simulations\n",
    "_, ax = plt.subplots(1, 2, figsize=(8, 4))\n",
    "sim_ref.plot(x=0, ax=ax[0])\n",
    "sim_ref.plot(y=0, ax=ax[1])\n",
    "plt.show()\n",
    "\n",
    "_, ax = plt.subplots(1, 2, figsize=(8, 4))\n",
    "sim_ref_empty.plot(x=0, ax=ax[0])\n",
    "sim_ref_empty.plot(y=0, ax=ax[1])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Run all three simulations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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\">18:41:56 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'tfsf4'</span> with task_id                                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-af5e0678-da6a-43b1-a6d2-f2e2b463df52'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:41:56 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'tfsf4'\u001b[0m with task_id                                 \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-af5e0678-da6a-43b1-a6d2-f2e2b463df52'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>View task using web UI at                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-af5e0678-da6a-43b1-a6d2-f2e2b463df52\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-af5e0678-da</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-af5e0678-da6a-43b1-a6d2-f2e2b463df52\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">6a-43b1-a6d2-f2e2b463df52'</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=797812;https://tidy3d.simulation.cloud/workbench?taskId=fdve-af5e0678-da6a-43b1-a6d2-f2e2b463df52\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=213137;https://tidy3d.simulation.cloud/workbench?taskId=fdve-af5e0678-da6a-43b1-a6d2-f2e2b463df52\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=797812;https://tidy3d.simulation.cloud/workbench?taskId=fdve-af5e0678-da6a-43b1-a6d2-f2e2b463df52\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=969121;https://tidy3d.simulation.cloud/workbench?taskId=fdve-af5e0678-da6a-43b1-a6d2-f2e2b463df52\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=797812;https://tidy3d.simulation.cloud/workbench?taskId=fdve-af5e0678-da6a-43b1-a6d2-f2e2b463df52\u001b\\\u001b[32m-af5e0678-da\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=797812;https://tidy3d.simulation.cloud/workbench?taskId=fdve-af5e0678-da6a-43b1-a6d2-f2e2b463df52\u001b\\\u001b[32m6a-43b1-a6d2-f2e2b463df52'\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/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" 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=208923;https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5bd9fffb448944c082c33f1ed69e4171",
       "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\">18:41:58 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.028</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:41:58 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.028\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">18:41:59 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:41:59 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "39a2df563a90490188cd919066b46085",
       "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\">18:42:02 CEST </span>loading simulation from data/tfsf4.hdf5                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:42:02 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from data/tfsf4.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: The grid is nonuniform along the </span><span style=\"color: #008000; text-decoration-color: #008000\">'x'</span><span style=\"color: #800000; text-decoration-color: #800000\"> axis, which may lead</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">to sub-optimal cancellation of the incident field in the          </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">scattered-field region for the total-field scattered-field </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">(</span><span style=\"color: #800000; text-decoration-color: #800000\">TFSF</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</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\">source </span><span style=\"color: #008000; text-decoration-color: #008000\">'tfsf4'</span><span style=\"color: #800000; text-decoration-color: #800000\">. For best results, we recommended ensuring a       </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">uniform grid in both directions tangential to the TFSF injection  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">axis, </span><span style=\"color: #008000; text-decoration-color: #008000\">'z'</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: The grid is nonuniform along the \u001b[0m\u001b[32m'x'\u001b[0m\u001b[31m axis, which may lead\u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31mto sub-optimal cancellation of the incident field in the          \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31mscattered-field region for the total-field scattered-field \u001b[0m\u001b[1;31m(\u001b[0m\u001b[31mTFSF\u001b[0m\u001b[1;31m)\u001b[0m\u001b[31m \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31msource \u001b[0m\u001b[32m'tfsf4'\u001b[0m\u001b[31m. For best results, we recommended ensuring a       \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31muniform grid in both directions tangential to the TFSF injection  \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31maxis, \u001b[0m\u001b[32m'z'\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\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Suppressed </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000\"> WARNING message.                            </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Suppressed \u001b[0m\u001b[1;36m1\u001b[0m\u001b[31m WARNING message.                            \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: Warning messages were found in the solver log. For more  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">information, check </span><span style=\"color: #008000; text-decoration-color: #008000\">'SimulationData.log'</span><span style=\"color: #800000; text-decoration-color: #800000\"> or use                    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.download_log(task_id)'</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: Warning messages were found in the solver log. For more  \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31minformation, check \u001b[0m\u001b[32m'SimulationData.log'\u001b[0m\u001b[31m or use                    \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'web.download_log\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\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\">              </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'planewave'</span> with task_id                             \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-a0105175-cbb5-4090-8a69-ccf0c115be04'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'planewave'\u001b[0m with task_id                             \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-a0105175-cbb5-4090-8a69-ccf0c115be04'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>View task using web UI at                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-a0105175-cbb5-4090-8a69-ccf0c115be04\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-a0105175-cb</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-a0105175-cbb5-4090-8a69-ccf0c115be04\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">b5-4090-8a69-ccf0c115be04'</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=93385;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a0105175-cbb5-4090-8a69-ccf0c115be04\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=924222;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a0105175-cbb5-4090-8a69-ccf0c115be04\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=93385;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a0105175-cbb5-4090-8a69-ccf0c115be04\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=865304;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a0105175-cbb5-4090-8a69-ccf0c115be04\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=93385;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a0105175-cbb5-4090-8a69-ccf0c115be04\u001b\\\u001b[32m-a0105175-cb\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=93385;https://tidy3d.simulation.cloud/workbench?taskId=fdve-a0105175-cbb5-4090-8a69-ccf0c115be04\u001b\\\u001b[32mb5-4090-8a69-ccf0c115be04'\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/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" 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=42479;https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b69ac1b9446b46a99ab382070e1d5453",
       "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\">18:42:04 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.028</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:42:04 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.028\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">18:42:05 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:42:05 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "fb6136de6eba4785877615008591af4d",
       "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\">18:42:08 CEST </span>loading simulation from data/planewave.hdf5                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:42:08 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from data/planewave.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\">18:42:09 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'planewave_empty'</span> with task_id                       \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-570d8532-0263-4d6b-a8df-d454ef75846b'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:42:09 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'planewave_empty'\u001b[0m with task_id                       \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-570d8532-0263-4d6b-a8df-d454ef75846b'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m. \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>View task using web UI at                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-570d8532-0263-4d6b-a8df-d454ef75846b\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-570d8532-02</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-570d8532-0263-4d6b-a8df-d454ef75846b\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">63-4d6b-a8df-d454ef75846b'</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=648719;https://tidy3d.simulation.cloud/workbench?taskId=fdve-570d8532-0263-4d6b-a8df-d454ef75846b\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=639519;https://tidy3d.simulation.cloud/workbench?taskId=fdve-570d8532-0263-4d6b-a8df-d454ef75846b\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=648719;https://tidy3d.simulation.cloud/workbench?taskId=fdve-570d8532-0263-4d6b-a8df-d454ef75846b\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=786573;https://tidy3d.simulation.cloud/workbench?taskId=fdve-570d8532-0263-4d6b-a8df-d454ef75846b\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=648719;https://tidy3d.simulation.cloud/workbench?taskId=fdve-570d8532-0263-4d6b-a8df-d454ef75846b\u001b\\\u001b[32m-570d8532-02\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=648719;https://tidy3d.simulation.cloud/workbench?taskId=fdve-570d8532-0263-4d6b-a8df-d454ef75846b\u001b\\\u001b[32m63-4d6b-a8df-d454ef75846b'\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/9b36e144-ddb6-41f8-8dd8-30b62b26a870\" 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=57513;https://tidy3d.simulation.cloud/folders/9b36e144-ddb6-41f8-8dd8-30b62b26a870\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "01b0496e2c5d4737a711af7a90e6c8e4",
       "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\">18:42:11 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:42:11 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">18:42:12 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:42:12 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c2a58f5031534667bca071bcf0384539",
       "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\">18:42:15 CEST </span>loading simulation from data/planewave_empty.hdf5                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m18:42:15 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from data/planewave_empty.hdf5                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# TFSF simulation\n",
    "sim_data = web.run(sim, task_name=\"tfsf4\", path=\"data/tfsf4.hdf5\")\n",
    "\n",
    "# planewave simulation\n",
    "sim_data_ref = web.run(sim_ref, task_name=\"planewave\", path=\"data/planewave.hdf5\")\n",
    "\n",
    "# planewave simulation without objects\n",
    "sim_data_ref_empty = web.run(\n",
    "    sim_ref_empty, task_name=\"planewave_empty\", path=\"data/planewave_empty.hdf5\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the reference simulation, compute the scattered fields by subtracting the results of the empty simulation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# for the plane wave simulations, we need to manually compute the scattered fields\n",
    "# by subtracting out the incident fields computed in the empty simulation\n",
    "data_ref = sim_data_ref[monitor_freq.name]\n",
    "data_ref_empty = sim_data_ref_empty[monitor_freq.name]\n",
    "\n",
    "for field, field_empty in zip(\n",
    "    data_ref.field_components.values(), data_ref_empty.field_components.values()\n",
    "):\n",
    "    field.values -= field_empty.values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot and compare\n",
    "Notice the excellent agreement in the scattered field distribution for the TFSF and reference cases. Note, however, that the field magnitudes are different in the two cases. The reason is that the sources are normalized differently, as discussed above."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x300 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x300 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2, ax3) = plt.subplots(1, 3, tight_layout=True, figsize=(12, 3))\n",
    "\n",
    "im1 = ax1.pcolormesh(\n",
    "    np.real(sim_data[monitor_freq.name].Ex.isel(z=0, f=0)), cmap=\"RdBu\", shading=\"auto\"\n",
    ")\n",
    "im2 = ax2.pcolormesh(\n",
    "    np.real(sim_data[monitor_freq.name].Ey.isel(z=0, f=0)), cmap=\"RdBu\", shading=\"auto\"\n",
    ")\n",
    "im3 = ax3.pcolormesh(\n",
    "    np.real(sim_data[monitor_freq.name].Ez.isel(z=0, f=0)), cmap=\"RdBu\", shading=\"auto\"\n",
    ")\n",
    "fig.colorbar(im1, ax=ax1)\n",
    "fig.colorbar(im2, ax=ax2)\n",
    "fig.colorbar(im3, ax=ax3)\n",
    "plt.show()\n",
    "\n",
    "fig, (ax1, ax2, ax3) = plt.subplots(1, 3, tight_layout=True, figsize=(12, 3))\n",
    "\n",
    "im1 = ax1.pcolormesh(np.real(data_ref.Ex.isel(z=0, f=0)), cmap=\"RdBu\", shading=\"auto\")\n",
    "im2 = ax2.pcolormesh(np.real(data_ref.Ey.isel(z=0, f=0)), cmap=\"RdBu\", shading=\"auto\")\n",
    "im3 = ax3.pcolormesh(np.real(data_ref.Ez.isel(z=0, f=0)), cmap=\"RdBu\", shading=\"auto\")\n",
    "fig.colorbar(im1, ax=ax1)\n",
    "fig.colorbar(im2, ax=ax2)\n",
    "fig.colorbar(im3, ax=ax3)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "description": "This notebook demonstrates how to use a total-field scattered-field (TFSF) plane wave source in Tidy3D for FDTD simulations.",
  "feature_imag": "",
  "feature_image": "N/A",
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "keywords": "total-field scattered field, TFSF, 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": "3.11.12"
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  "title": "Using the TFSF Plane Wave Source in Tidy3D| Flexcompute",
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