{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Modes in bent and angled waveguides\n",
    "\n",
    "Run this notebook in your browser using [Binder](https://mybinder.org/v2/gh/flexcompute-readthedocs/tidy3d-docs/readthedocs?labpath=docs%2Fsource%2Fnotebooks%2FModes_bent_angled.ipynb).\n",
    "\n",
    "Here, we illustrate how we can use the `ModeSource` and `ModeMonitor` objects to study modes in bent waveguides."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-21T20:55:51.865001Z",
     "iopub.status.busy": "2022-07-21T20:55:51.864441Z",
     "iopub.status.idle": "2022-07-21T20:55:52.831933Z",
     "shell.execute_reply": "2022-07-21T20:55:52.831598Z"
    },
    "scrolled": true,
    "tags": []
   },
   "outputs": [],
   "source": [
    "# standard python imports\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as mpl\n",
    "\n",
    "# tidy3D import\n",
    "import tidy3d as td\n",
    "from tidy3d import web\n",
    "from tidy3d.plugins import ModeSolver"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Bent waveguide setup\n",
    "\n",
    "First, we will study mode injection and decomposition in a microring. We start by defining various simulation parameters, and the structures that enter the simulation. We simulate a silicon ring on a silicon oxide substrate, and the ring is defined using two Cylinders."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-21T20:55:52.833908Z",
     "iopub.status.busy": "2022-07-21T20:55:52.833779Z",
     "iopub.status.idle": "2022-07-21T20:55:52.838004Z",
     "shell.execute_reply": "2022-07-21T20:55:52.837641Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Unit length is micron.\n",
    "wg_height = 0.22\n",
    "wg_width = 0.9\n",
    "# Radius of the simulated ring\n",
    "radius = 2 \n",
    "\n",
    "# Waveguide and substrate materials\n",
    "mat_wg = td.Medium(permittivity=3.48**2)\n",
    "mat_sub = td.Medium(permittivity=1.45**2)\n",
    "\n",
    "# Free-space wavelength (in um) and frequency (in Hz)\n",
    "lambda0 = 1.55\n",
    "freq0 = td.C_0/lambda0\n",
    "fwidth = freq0/10\n",
    "\n",
    "# Simulation size inside the PML along propagation direction\n",
    "sim_length = radius + 1.5\n",
    "\n",
    "# Simulation domain size, resolution and total run time\n",
    "sim_size = [sim_length, 2*(radius + 1.5), 3]\n",
    "run_time = 20/fwidth\n",
    "grid_spec = td.GridSpec.auto(min_steps_per_wvl=20, wavelength=lambda0)\n",
    "\n",
    "# Substrate\n",
    "substrate = td.Structure(\n",
    "    geometry=td.Box(\n",
    "        center=[0, 0, -sim_size[2]],\n",
    "        size=[td.inf, td.inf, 2*sim_size[2]-wg_height],\n",
    "    ),\n",
    "    medium=mat_sub)\n",
    "\n",
    "# The ring is made by two cylinders\n",
    "cyl1 = td.Structure(\n",
    "    geometry=td.Cylinder(\n",
    "        center=[0, 0, 0],\n",
    "        radius=radius - wg_width/2,\n",
    "        length=wg_height,\n",
    "        axis=2,\n",
    "    ),\n",
    "    medium=td.Medium()\n",
    ")\n",
    "cyl2 = td.Structure(\n",
    "    geometry=td.Cylinder(\n",
    "        center=[0, 0, 0],\n",
    "        radius=radius + wg_width/2,\n",
    "        length=wg_height,\n",
    "        axis=2,\n",
    "    ),\n",
    "    medium=mat_wg\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Modal planes in bent waveguides\n",
    "\n",
    "As usual, when initializing `ModeSource` and `ModeMonitor` objects, one of the three values of the `size` parameter must be zero. In this example, we also need to define the axis of the bend and the radius of the curvature. The definitions are schematically illustrated in the image below. The bend axis is the axis normal to the plane in which the bend lies, (`'z'` in the diagram below). In the mode specification, it is defined *locally* for the mode plane as one of the two axes tangential to the plane. In the case of bends that lie in the `xy`-plane, the mode plane would be either in `xz` or in `yz`, so in both cases the correct setting is `bend_axis=1`, selecting the global `z`. The bend radius is counted from the center of the mode plane to the center of the curvature, along the tangential axis perpendicular to the bend axis. This radius can also be negative, if the center of the mode plane is smaller than the center of the bend, which is what we will encounter in this example. Finally, we note that the `'forward'` and `'backward'` direction parameter can still be used to distinguish between the two propagation directions as in regular modal sources and monitors.\n",
    "\n",
    "<img src=\"img/ring_modes.png\" width=800>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-21T20:55:52.839510Z",
     "iopub.status.busy": "2022-07-21T20:55:52.839381Z",
     "iopub.status.idle": "2022-07-21T20:55:52.841808Z",
     "shell.execute_reply": "2022-07-21T20:55:52.841572Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# xy-plane frequency-domain field monitor; slightly offset in z for better structure viz below\n",
    "field_mnt = td.FieldMonitor(\n",
    "    center=[0, 0, 0.05],\n",
    "    size=[td.inf, td.inf, 0],\n",
    "    freqs=[freq0], \n",
    "    name='field')\n",
    "\n",
    "# Flux monitor along the ring propagation direction\n",
    "flux_mnt = td.FluxMonitor(\n",
    "    center=[0, radius, 0],\n",
    "    size=[0, 3, 2],\n",
    "    freqs=[freq0],\n",
    "    name='flux')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Running the simulation \n",
    "\n",
    "First, we visualize the simulation to make sure we have set up the device correctly. We will use `'absorber'` boundaries along the x-direction, because these boundaries work better than PML for structures which are not translationally invariant along the boundary normal direction."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-21T20:55:52.843112Z",
     "iopub.status.busy": "2022-07-21T20:55:52.842989Z",
     "iopub.status.idle": "2022-07-21T20:55:52.977609Z",
     "shell.execute_reply": "2022-07-21T20:55:52.977250Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[16:55:52] </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING </span> No sources in simulation.                               <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/components/simulation.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">simulation.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/components/simulation.py#406\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">406</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:55:52]\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING \u001b[0m No sources in simulation.                               \u001b]8;id=254797;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/components/simulation.py\u001b\\\u001b[2msimulation.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=114124;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/components/simulation.py#406\u001b\\\u001b[2m406\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=\"font-weight: bold\">&lt;</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff; font-weight: bold\">AxesSubplot:</span><span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">title</span><span style=\"color: #000000; text-decoration-color: #000000\">=</span><span style=\"color: #000000; text-decoration-color: #000000; font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'center'</span><span style=\"color: #000000; text-decoration-color: #000000\">:</span><span style=\"color: #008000; text-decoration-color: #008000\">'cross section at x=0.00'</span><span style=\"color: #000000; text-decoration-color: #000000; font-weight: bold\">}</span><span style=\"color: #000000; text-decoration-color: #000000\">, </span><span style=\"color: #808000; text-decoration-color: #808000\">xlabel</span><span style=\"color: #000000; text-decoration-color: #000000\">=</span><span style=\"color: #008000; text-decoration-color: #008000\">'y'</span><span style=\"color: #000000; text-decoration-color: #000000\">, </span><span style=\"color: #808000; text-decoration-color: #808000\">ylabel</span><span style=\"color: #000000; text-decoration-color: #000000\">=</span><span style=\"color: #008000; text-decoration-color: #008000\">'z'</span><span style=\"font-weight: bold\">&gt;</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m<\u001b[0m\u001b[1;95mAxesSubplot:\u001b[0m\u001b[1;33mtitle\u001b[0m\u001b[39m=\u001b[0m\u001b[1;39m{\u001b[0m\u001b[32m'center'\u001b[0m\u001b[39m:\u001b[0m\u001b[32m'cross section at \u001b[0m\u001b[32mx\u001b[0m\u001b[32m=\u001b[0m\u001b[32m0\u001b[0m\u001b[32m.00'\u001b[0m\u001b[1;39m}\u001b[0m\u001b[39m, \u001b[0m\u001b[33mxlabel\u001b[0m\u001b[39m=\u001b[0m\u001b[32m'y'\u001b[0m\u001b[39m, \u001b[0m\u001b[33mylabel\u001b[0m\u001b[39m=\u001b[0m\u001b[32m'z'\u001b[0m\u001b[1m>\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=\"font-weight: bold\">&lt;</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff; font-weight: bold\">Figure</span><span style=\"color: #000000; text-decoration-color: #000000\"> size 792x288 with </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"color: #000000; text-decoration-color: #000000\"> Axes</span><span style=\"font-weight: bold\">&gt;</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 792x288 with \u001b[0m\u001b[1;36m2\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Simulation\n",
    "sim = td.Simulation(\n",
    "    center=[sim_length/2 - 0.2, 0, 0],\n",
    "    size=sim_size,\n",
    "    grid_spec=grid_spec,\n",
    "    structures=[substrate, cyl2, cyl1], \n",
    "    sources=[], \n",
    "    monitors=[field_mnt, flux_mnt],\n",
    "    run_time=run_time,\n",
    "    boundary_spec=td.BoundarySpec(\n",
    "        x=td.Boundary.absorber(),\n",
    "        y=td.Boundary.pml(),\n",
    "        z=td.Boundary.pml()\n",
    "    )\n",
    ")\n",
    "\n",
    "fig = plt.figure(figsize=(11, 4))\n",
    "gs = mpl.gridspec.GridSpec(1, 2, figure=fig, width_ratios=[1, 2])\n",
    "ax1 = fig.add_subplot(gs[0, 0])\n",
    "ax2 = fig.add_subplot(gs[0, 1])\n",
    "sim.plot(z=0, ax=ax1);\n",
    "sim.plot(x=0, ax=ax2);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we can compute the source modes to make sure that we inject the desired mode. When a bend radius $R$ is used, the effective index $n$ returned by the solver is such that the field evolves as $e^{i n k_0 R \\phi}$, with $\\phi$ the polar angle and $k_0 = \\omega/c$. This definition is such that in the limit of infinite $R$, the effective index approaches that of a straight waveguide with the same cross-section. Based on our discussion and diagram above, we set the `bend_axis` to `1`, and the `bend_radius` at the position of the source is negative."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-21T20:55:52.979006Z",
     "iopub.status.busy": "2022-07-21T20:55:52.978859Z",
     "iopub.status.idle": "2022-07-21T20:55:54.955405Z",
     "shell.execute_reply": "2022-07-21T20:55:54.955039Z"
    }
   },
   "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\">[16:55:53] </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING </span> Mode field at frequency index <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span>, mode index <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span> does not <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/plugins/mode/mode_solver.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">mode_solver.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/plugins/mode/mode_solver.py#485\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">485</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>         decay at the plane boundaries.                         <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:55:53]\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING \u001b[0m Mode field at frequency index \u001b[1;36m0\u001b[0m, mode index \u001b[1;36m2\u001b[0m does not \u001b]8;id=142973;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/plugins/mode/mode_solver.py\u001b\\\u001b[2mmode_solver.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=506645;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/plugins/mode/mode_solver.py#485\u001b\\\u001b[2m485\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m         decay at the plane boundaries.                         \u001b[2m                  \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 </span> Mode field at frequency index <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span>, mode index <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span> does not <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/plugins/mode/mode_solver.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">mode_solver.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/plugins/mode/mode_solver.py#485\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">485</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>         decay at the plane boundaries.                         <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING \u001b[0m Mode field at frequency index \u001b[1;36m0\u001b[0m, mode index \u001b[1;36m3\u001b[0m does not \u001b]8;id=951058;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/plugins/mode/mode_solver.py\u001b\\\u001b[2mmode_solver.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=22145;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/plugins/mode/mode_solver.py#485\u001b\\\u001b[2m485\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m         decay at the plane boundaries.                         \u001b[2m                  \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=\"font-weight: bold\">&lt;</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff; font-weight: bold\">Figure</span><span style=\"color: #000000; text-decoration-color: #000000\"> size 108</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x864</span><span style=\"color: #000000; text-decoration-color: #000000\"> with </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">24</span><span style=\"color: #000000; text-decoration-color: #000000\"> Axes</span><span style=\"font-weight: bold\">&gt;</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 108\u001b[0m\u001b[1;36m0x864\u001b[0m\u001b[39m with \u001b[0m\u001b[1;36m24\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Modal source plane\n",
    "source_plane = td.Box(\n",
    "    center=[0, -radius, 0],\n",
    "    size=[0, 3, 2]\n",
    ")\n",
    "\n",
    "num_modes = 4\n",
    "# NB: negative radius since the plane position is at y=-radius\n",
    "mode_spec = td.ModeSpec(num_modes=num_modes, bend_radius=-radius, bend_axis=1)\n",
    "ms = ModeSolver(simulation=sim, plane=source_plane, freqs=[freq0], mode_spec=mode_spec)\n",
    "\n",
    "modes = ms.solve()\n",
    "f, axes = plt.subplots(num_modes, 3, tight_layout=True, figsize=(15, 12))\n",
    "for axe, mode_index in zip(axes, range(num_modes)):\n",
    "    for ax, field_name in zip(axe, ('Ex', 'Ey', 'Ez')):\n",
    "        modes.plot_field(field_name, \"abs\", freq=freq0, mode_index=mode_index, ax=ax)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that the last two of the computed modes are unphysical. The fundamental mode looks like what we would expect, and we will use that mode for injection. Below, we also define a mode monitor, which is situated radially from the mode source, and so we use a positive value for the bend radius."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-21T20:55:54.957174Z",
     "iopub.status.busy": "2022-07-21T20:55:54.957053Z",
     "iopub.status.idle": "2022-07-21T20:55:54.965356Z",
     "shell.execute_reply": "2022-07-21T20:55:54.965075Z"
    }
   },
   "outputs": [],
   "source": [
    "# Mode source directly exported from the mode solver above\n",
    "source_time = td.GaussianPulse(freq0=freq0, fwidth=fwidth)\n",
    "mode_src = ms.to_source(source_time=source_time, mode_index=0, direction='+')\n",
    "\n",
    "# Mode monitor after one-half round-trip around the ring; NB: positive radius\n",
    "mode_mnt = td.ModeMonitor(\n",
    "    center=[0, radius, 0],\n",
    "    size=[0, 3, 2],\n",
    "    freqs=[freq0],\n",
    "    mode_spec=td.ModeSpec(num_modes=2, bend_radius=radius, bend_axis=1),\n",
    "    name='modes')\n",
    "\n",
    "sim = sim.copy(update=dict(sources = [mode_src]))\n",
    "sim = sim.copy(update=dict(monitors = [field_mnt, flux_mnt, mode_mnt]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-21T20:55:54.966816Z",
     "iopub.status.busy": "2022-07-21T20:55:54.966693Z",
     "iopub.status.idle": "2022-07-21T20:56:42.613592Z",
     "shell.execute_reply": "2022-07-21T20:56:42.613014Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[16:55:54] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO    </span> Using Tidy3D credentials from stored file                      <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/auth.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">auth.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/auth.py#74\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">74</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:55:54]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Using Tidy3D credentials from stored file                      \u001b]8;id=742982;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/auth.py\u001b\\\u001b[2mauth.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=289099;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/auth.py#74\u001b\\\u001b[2m74\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\">[16:55:56] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO    </span> Uploaded task <span style=\"color: #008000; text-decoration-color: #008000\">'ring_mode'</span> with task_id                      <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#120\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">120</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>         <span style=\"color: #008000; text-decoration-color: #008000\">'b9e81137-f833-498a-b340-fa4b8663d7d4'</span>.                     <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:55:56]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Uploaded task \u001b[32m'ring_mode'\u001b[0m with task_id                      \u001b]8;id=657726;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=150883;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#120\u001b\\\u001b[2m120\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m         \u001b[32m'b9e81137-f833-498a-b340-fa4b8663d7d4'\u001b[0m.                     \u001b[2m             \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "92b26d7744ad4968925490adce0cd57d",
       "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\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\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\">[16:55:59] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO    </span> status = queued                                             <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#253\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">253</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:55:59]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m status = queued                                             \u001b]8;id=25804;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=3140;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#253\u001b\\\u001b[2m253\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3e2bbb4ccebd401883a3b4acb076feb0",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[16:56:04] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO    </span> Maximum flex unit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.20</span>                                <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#244\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">244</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:56:04]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Maximum flex unit cost: \u001b[1;36m0.20\u001b[0m                                \u001b]8;id=974147;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=784001;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#244\u001b\\\u001b[2m244\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\">[16:56:07] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO    </span> status = preprocess                                         <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#265\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">265</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:56:07]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m status = preprocess                                         \u001b]8;id=772770;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=814858;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#265\u001b\\\u001b[2m265\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\"></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\">[16:56:16] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO    </span> starting up solver                                          <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#269\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">269</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:56:16]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m starting up solver                                          \u001b]8;id=723210;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=52574;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#269\u001b\\\u001b[2m269\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\">[16:56:27] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO    </span> running solver                                              <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#275\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">275</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:56:27]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m running solver                                              \u001b]8;id=380345;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=348019;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#275\u001b\\\u001b[2m275\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f7aff19a93074953ab67fe3790e0ecd6",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[16:56:31] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO    </span> early shutoff detected, exiting.                            <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#286\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">286</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:56:31]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m early shutoff detected, exiting.                            \u001b]8;id=58385;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=226705;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#286\u001b\\\u001b[2m286\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\"></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\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\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: #000080; text-decoration-color: #000080\">INFO    </span> status = postprocess                                        <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#292\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">292</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m status = postprocess                                        \u001b]8;id=559420;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=738361;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#292\u001b\\\u001b[2m292\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d2612b9397ec4da9a427a588b1acf680",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[16:56:37] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO    </span> status = success                                            <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#298\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">298</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:56:37]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m status = success                                            \u001b]8;id=764898;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=570167;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#298\u001b\\\u001b[2m298\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\"></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\">[16:56:38] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO    </span> downloading file <span style=\"color: #008000; text-decoration-color: #008000\">\"output/monitor_data.hdf5\"</span> to              <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#574\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">574</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>         <span style=\"color: #008000; text-decoration-color: #008000\">\"data/sim_data.hdf5\"</span>                                        <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:56:38]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m downloading file \u001b[32m\"output/monitor_data.hdf5\"\u001b[0m to              \u001b]8;id=241862;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=82294;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#574\u001b\\\u001b[2m574\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m         \u001b[32m\"data/sim_data.hdf5\"\u001b[0m                                        \u001b[2m             \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6d3a9e86318e4140b8c10d5377a9565f",
       "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\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\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\">[16:56:42] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO    </span> loading SimulationData from data/sim_data.hdf5              <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#398\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">398</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:56:42]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m loading SimulationData from data/sim_data.hdf5              \u001b]8;id=327194;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=495145;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#398\u001b\\\u001b[2m398\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_data = web.run(sim, task_name=\"ring_mode\", path='data/sim_data.hdf5')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, we visualize the results and verify that we get very close to unity transmission through the half-circle."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-21T20:56:42.888877Z",
     "iopub.status.busy": "2022-07-21T20:56:42.888779Z",
     "iopub.status.idle": "2022-07-21T20:56:43.556109Z",
     "shell.execute_reply": "2022-07-21T20:56:43.555751Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Transmission flux:        [0.99798423]\n",
      "Flux in first two modes:  [0.99748309 0.00295693]\n"
     ]
    },
    {
     "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=\"font-weight: bold\">&lt;</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff; font-weight: bold\">Figure</span><span style=\"color: #000000; text-decoration-color: #000000\"> size 108</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x360</span><span style=\"color: #000000; text-decoration-color: #000000\"> with </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span><span style=\"color: #000000; text-decoration-color: #000000\"> Axes</span><span style=\"font-weight: bold\">&gt;</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 108\u001b[0m\u001b[1;36m0x360\u001b[0m\u001b[39m with \u001b[0m\u001b[1;36m4\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Transmission flux:       \", abs(sim_data[\"flux\"].values))\n",
    "# note: 'backward' mode amplitude\n",
    "mode_flux = abs(sim_data[\"modes\"].amps.sel(direction=\"-\"))**2\n",
    "print(\"Flux in first two modes: \", np.array(mode_flux).ravel()) \n",
    "\n",
    "f, (ax1, ax2) = plt.subplots(1, 2, tight_layout=True, figsize=(15, 5))\n",
    "ax1 = sim_data.plot_field('field', 'Ex', z=0.05, freq=freq0, val='real', ax=ax1)\n",
    "ax2 = sim_data.plot_field('field', 'int', z=0.05, freq=freq0, ax=ax2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The transmission through the ring is very close to unity, and all the power is in the fundamental ring mode!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Angled waveguide setup\n",
    "\n",
    "`Mode` objects can also be set to inject and record propagation at a given angle with respect to the axis normal to the mode plane. The `angle_theta` and `angle_phi` parameters of `ModeSource` and `ModeMonitor` objects define the injection axis as illustrated in the figure below, with respect to the axis normal to the mode plane (`x` in the figure). Note that `angle_theta` must be smaller than $\\pi/2$. To inject in the backward direction, we can still use the `direction` parameter as also shown in the figure. Similarly, the mode amplitudes computed in mode monitors are defined w.r.t. the `forward` and `backward` directions as illustrated.\n",
    "\n",
    "<img src=\"img/mode_angled.png\" width=500>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-21T20:56:43.557821Z",
     "iopub.status.busy": "2022-07-21T20:56:43.557693Z",
     "iopub.status.idle": "2022-07-21T20:56:43.562678Z",
     "shell.execute_reply": "2022-07-21T20:56:43.562430Z"
    }
   },
   "outputs": [],
   "source": [
    "# Simulation size\n",
    "sim_length = 3\n",
    "sim_size = [sim_length, 5, 2]\n",
    "\n",
    "# Define an angled waveguide as a PolySlab\n",
    "wg_width = 0.45\n",
    "theta = np.pi/4\n",
    "phi = np.pi\n",
    "\n",
    "verts_x = np.array([-10, 10, 10, -10])\n",
    "verts_y = verts_x * np.tan(theta)\n",
    "verts_y[:2] -= wg_width / 2 / np.cos(theta)\n",
    "verts_y[2:] += wg_width / 2 / np.cos(theta)\n",
    "verts_y *= np.cos(phi) # this only works for phi = 0 or pi\n",
    "verts = np.stack((verts_x, verts_y), axis=1)\n",
    "waveguide = td.Structure(\n",
    "    geometry=td.PolySlab(vertices=verts, slab_bounds=(-wg_height/2, wg_height/2)),\n",
    "    medium=mat_wg\n",
    ")\n",
    "\n",
    "# Modal source\n",
    "src_pos = 0\n",
    "mode_spec = td.ModeSpec(num_modes=2, angle_theta=theta, angle_phi=phi)\n",
    "msource = td.ModeSource(\n",
    "    center=[src_pos, 0, 0],\n",
    "    size=[0, 3, 2],\n",
    "    source_time = td.GaussianPulse(\n",
    "        freq0=freq0,\n",
    "        fwidth=fwidth),\n",
    "    direction='+',\n",
    "    mode_spec=mode_spec,\n",
    "    mode_index=0,\n",
    ")\n",
    "\n",
    "# Angled modal monitor\n",
    "mnt_f = td.ModeMonitor(\n",
    "    center=[sim_length/2-0.5, (sim_length/2-0.5)*np.tan(theta)*np.cos(phi), 0],\n",
    "    size=[0, 3, 2],\n",
    "    freqs=[freq0],\n",
    "    mode_spec=mode_spec,\n",
    "    name=\"mnt_fwd\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will once again use `'absorber'` boundaries along x, since the angled waveguide is not translationally invariant in that direction."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-21T20:56:43.564134Z",
     "iopub.status.busy": "2022-07-21T20:56:43.563965Z",
     "iopub.status.idle": "2022-07-21T20:56:43.678413Z",
     "shell.execute_reply": "2022-07-21T20:56:43.677866Z"
    }
   },
   "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=\"font-weight: bold\">&lt;</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff; font-weight: bold\">AxesSubplot:</span><span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">title</span><span style=\"color: #000000; text-decoration-color: #000000\">=</span><span style=\"color: #000000; text-decoration-color: #000000; font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'center'</span><span style=\"color: #000000; text-decoration-color: #000000\">:</span><span style=\"color: #008000; text-decoration-color: #008000\">'cross section at x=0.00'</span><span style=\"color: #000000; text-decoration-color: #000000; font-weight: bold\">}</span><span style=\"color: #000000; text-decoration-color: #000000\">, </span><span style=\"color: #808000; text-decoration-color: #808000\">xlabel</span><span style=\"color: #000000; text-decoration-color: #000000\">=</span><span style=\"color: #008000; text-decoration-color: #008000\">'y'</span><span style=\"color: #000000; text-decoration-color: #000000\">, </span><span style=\"color: #808000; text-decoration-color: #808000\">ylabel</span><span style=\"color: #000000; text-decoration-color: #000000\">=</span><span style=\"color: #008000; text-decoration-color: #008000\">'z'</span><span style=\"font-weight: bold\">&gt;</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m<\u001b[0m\u001b[1;95mAxesSubplot:\u001b[0m\u001b[1;33mtitle\u001b[0m\u001b[39m=\u001b[0m\u001b[1;39m{\u001b[0m\u001b[32m'center'\u001b[0m\u001b[39m:\u001b[0m\u001b[32m'cross section at \u001b[0m\u001b[32mx\u001b[0m\u001b[32m=\u001b[0m\u001b[32m0\u001b[0m\u001b[32m.00'\u001b[0m\u001b[1;39m}\u001b[0m\u001b[39m, \u001b[0m\u001b[33mxlabel\u001b[0m\u001b[39m=\u001b[0m\u001b[32m'y'\u001b[0m\u001b[39m, \u001b[0m\u001b[33mylabel\u001b[0m\u001b[39m=\u001b[0m\u001b[32m'z'\u001b[0m\u001b[1m>\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=\"font-weight: bold\">&lt;</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff; font-weight: bold\">Figure</span><span style=\"color: #000000; text-decoration-color: #000000\"> size 792x288 with </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"color: #000000; text-decoration-color: #000000\"> Axes</span><span style=\"font-weight: bold\">&gt;</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 792x288 with \u001b[0m\u001b[1;36m2\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Simulation\n",
    "sim = td.Simulation(\n",
    "    size=sim_size,\n",
    "    grid_spec=grid_spec,\n",
    "    structures=[waveguide, substrate], \n",
    "    sources=[msource], \n",
    "    monitors=[field_mnt, mnt_f],\n",
    "    run_time=run_time,\n",
    "    boundary_spec=td.BoundarySpec(\n",
    "        x=td.Boundary.absorber(),\n",
    "        y=td.Boundary.pml(),\n",
    "        z=td.Boundary.pml()\n",
    "    )\n",
    ")\n",
    "\n",
    "fig = plt.figure(figsize=(11, 4))\n",
    "gs = mpl.gridspec.GridSpec(1, 2, figure=fig, width_ratios=[1, 2.2])\n",
    "ax1 = fig.add_subplot(gs[0, 0])\n",
    "ax2 = fig.add_subplot(gs[0, 1])\n",
    "sim.plot(z=0, ax=ax1);\n",
    "sim.plot(x=0, ax=ax2);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Examine the modes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-21T20:56:43.680012Z",
     "iopub.status.busy": "2022-07-21T20:56:43.679863Z",
     "iopub.status.idle": "2022-07-21T20:56:47.356897Z",
     "shell.execute_reply": "2022-07-21T20:56:47.356446Z"
    }
   },
   "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\">[16:56:46] </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING </span> Mode field at frequency index <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span>, mode index <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span> does not <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/plugins/mode/mode_solver.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">mode_solver.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/plugins/mode/mode_solver.py#485\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">485</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>         decay at the plane boundaries.                         <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">                  </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:56:46]\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING \u001b[0m Mode field at frequency index \u001b[1;36m0\u001b[0m, mode index \u001b[1;36m1\u001b[0m does not \u001b]8;id=51148;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/plugins/mode/mode_solver.py\u001b\\\u001b[2mmode_solver.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=391069;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/plugins/mode/mode_solver.py#485\u001b\\\u001b[2m485\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m         decay at the plane boundaries.                         \u001b[2m                  \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=\"font-weight: bold\">&lt;</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff; font-weight: bold\">Figure</span><span style=\"color: #000000; text-decoration-color: #000000\"> size 1008x432 with </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">12</span><span style=\"color: #000000; text-decoration-color: #000000\"> Axes</span><span style=\"font-weight: bold\">&gt;</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 1008x432 with \u001b[0m\u001b[1;36m12\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ms = ModeSolver(simulation=sim, plane=msource.geometry, mode_spec=mode_spec, freqs=[freq0])\n",
    "modes = ms.solve()\n",
    "\n",
    "f, axes = plt.subplots(mode_spec.num_modes, 3, tight_layout=True, figsize=(14, 6))\n",
    "for axe, mode_index in zip(axes, range(mode_spec.num_modes)):\n",
    "    for ax, field_name in zip(axe, ('Ex', 'Ey', 'Ez')):\n",
    "        modes.plot_field(field_name, \"abs\", freq=freq0, mode_index=mode_index, ax=ax)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Run the simulation and plot the results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-21T20:56:47.359010Z",
     "iopub.status.busy": "2022-07-21T20:56:47.358877Z",
     "iopub.status.idle": "2022-07-21T20:57:32.877620Z",
     "shell.execute_reply": "2022-07-21T20:57:32.877085Z"
    }
   },
   "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\">[16:56:48] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO    </span> Uploaded task <span style=\"color: #008000; text-decoration-color: #008000\">'angled_waveguide'</span> with task_id               <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#120\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">120</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>         <span style=\"color: #008000; text-decoration-color: #008000\">'072af5a8-2af9-4488-9bf9-6feb2035d5e5'</span>.                     <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:56:48]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Uploaded task \u001b[32m'angled_waveguide'\u001b[0m with task_id               \u001b]8;id=939170;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=241251;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#120\u001b\\\u001b[2m120\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m         \u001b[32m'072af5a8-2af9-4488-9bf9-6feb2035d5e5'\u001b[0m.                     \u001b[2m             \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "16d6c80f5434433ba7692d2dfcb135b6",
       "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\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\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\">[16:56:50] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO    </span> status = queued                                             <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#253\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">253</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:56:50]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m status = queued                                             \u001b]8;id=565735;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=581112;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#253\u001b\\\u001b[2m253\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "fc6e78b91e5c40a6b6aee10ffd8bf307",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[16:56:55] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO    </span> Maximum flex unit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.20</span>                                <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#244\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">244</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:56:55]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Maximum flex unit cost: \u001b[1;36m0.20\u001b[0m                                \u001b]8;id=242514;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=402344;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#244\u001b\\\u001b[2m244\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\">[16:56:58] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO    </span> status = preprocess                                         <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#265\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">265</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:56:58]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m status = preprocess                                         \u001b]8;id=50539;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=217193;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#265\u001b\\\u001b[2m265\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\"></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\">[16:57:08] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO    </span> starting up solver                                          <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#269\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">269</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:57:08]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m starting up solver                                          \u001b]8;id=894306;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=351663;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#269\u001b\\\u001b[2m269\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\">[16:57:19] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO    </span> running solver                                              <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#275\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">275</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:57:19]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m running solver                                              \u001b]8;id=45385;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=900121;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#275\u001b\\\u001b[2m275\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "fbb7761f101f4a66a64d51f0028f8419",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[16:57:23] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO    </span> early shutoff detected, exiting.                            <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#286\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">286</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:57:23]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m early shutoff detected, exiting.                            \u001b]8;id=815679;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=847937;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#286\u001b\\\u001b[2m286\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\"></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\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\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: #000080; text-decoration-color: #000080\">INFO    </span> status = postprocess                                        <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#292\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">292</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m status = postprocess                                        \u001b]8;id=108239;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=499989;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#292\u001b\\\u001b[2m292\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a68aaeb5dc9047daa55b8cc3c3dd0c93",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[16:57:28] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO    </span> status = success                                            <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#298\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">298</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:57:28]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m status = success                                            \u001b]8;id=655432;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=129519;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#298\u001b\\\u001b[2m298\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\"></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\">[16:57:29] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO    </span> downloading file <span style=\"color: #008000; text-decoration-color: #008000\">\"output/monitor_data.hdf5\"</span> to              <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#574\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">574</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>         <span style=\"color: #008000; text-decoration-color: #008000\">\"data/sim_data.hdf5\"</span>                                        <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:57:29]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m downloading file \u001b[32m\"output/monitor_data.hdf5\"\u001b[0m to              \u001b]8;id=343007;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=102676;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#574\u001b\\\u001b[2m574\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m         \u001b[32m\"data/sim_data.hdf5\"\u001b[0m                                        \u001b[2m             \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d585e0f3f2464e0d9717b3cc08094e0a",
       "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\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\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\">[16:57:32] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO    </span> loading SimulationData from data/sim_data.hdf5              <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#398\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">398</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:57:32]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m loading SimulationData from data/sim_data.hdf5              \u001b]8;id=726281;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=428625;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#398\u001b\\\u001b[2m398\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_data = web.run(sim, task_name=\"angled_waveguide\", path='data/sim_data.hdf5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-21T20:57:33.137807Z",
     "iopub.status.busy": "2022-07-21T20:57:33.137666Z",
     "iopub.status.idle": "2022-07-21T20:57:33.742076Z",
     "shell.execute_reply": "2022-07-21T20:57:33.741769Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Flux in first two modes:  [9.99417412e-01 6.17519926e-05]\n"
     ]
    },
    {
     "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=\"font-weight: bold\">&lt;</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff; font-weight: bold\">Figure</span><span style=\"color: #000000; text-decoration-color: #000000\"> size 108</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x360</span><span style=\"color: #000000; text-decoration-color: #000000\"> with </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span><span style=\"color: #000000; text-decoration-color: #000000\"> Axes</span><span style=\"font-weight: bold\">&gt;</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 108\u001b[0m\u001b[1;36m0x360\u001b[0m\u001b[39m with \u001b[0m\u001b[1;36m4\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mode_flux = abs(sim_data[\"mnt_fwd\"].amps.sel(direction=\"+\"))**2\n",
    "print(\"Flux in first two modes: \", np.array(mode_flux).ravel()) \n",
    "\n",
    "f, (ax1, ax2) = plt.subplots(1, 2, tight_layout=True, figsize=(15, 5))\n",
    "ax1 = sim_data.plot_field('field', 'Ex', z=0.05, freq=freq0, val='real', ax=ax1)\n",
    "ax2 = sim_data.plot_field('field', 'int', z=0.05, freq=freq0, ax=ax2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Modes with both a bend and an angle\n",
    "\n",
    "We can also compose the two functionalities to inject and record modes in a bent waveguide in which the bend curvature is not in the same plane as the mode plane. This is illustrated below, using the same ring simulation but with a modification of the position of the `ModeSource` and `ModeMonitor`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-21T20:57:33.744081Z",
     "iopub.status.busy": "2022-07-21T20:57:33.743910Z",
     "iopub.status.idle": "2022-07-21T20:57:33.953979Z",
     "shell.execute_reply": "2022-07-21T20:57:33.953669Z"
    }
   },
   "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=\"font-weight: bold\">&lt;</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff; font-weight: bold\">AxesSubplot:</span><span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\">title</span><span style=\"color: #000000; text-decoration-color: #000000\">=</span><span style=\"color: #000000; text-decoration-color: #000000; font-weight: bold\">{</span><span style=\"color: #008000; text-decoration-color: #008000\">'center'</span><span style=\"color: #000000; text-decoration-color: #000000\">:</span><span style=\"color: #008000; text-decoration-color: #008000\">'cross section at x=0.00'</span><span style=\"color: #000000; text-decoration-color: #000000; font-weight: bold\">}</span><span style=\"color: #000000; text-decoration-color: #000000\">, </span><span style=\"color: #808000; text-decoration-color: #808000\">xlabel</span><span style=\"color: #000000; text-decoration-color: #000000\">=</span><span style=\"color: #008000; text-decoration-color: #008000\">'y'</span><span style=\"color: #000000; text-decoration-color: #000000\">, </span><span style=\"color: #808000; text-decoration-color: #808000\">ylabel</span><span style=\"color: #000000; text-decoration-color: #000000\">=</span><span style=\"color: #008000; text-decoration-color: #008000\">'z'</span><span style=\"font-weight: bold\">&gt;</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m<\u001b[0m\u001b[1;95mAxesSubplot:\u001b[0m\u001b[1;33mtitle\u001b[0m\u001b[39m=\u001b[0m\u001b[1;39m{\u001b[0m\u001b[32m'center'\u001b[0m\u001b[39m:\u001b[0m\u001b[32m'cross section at \u001b[0m\u001b[32mx\u001b[0m\u001b[32m=\u001b[0m\u001b[32m0\u001b[0m\u001b[32m.00'\u001b[0m\u001b[1;39m}\u001b[0m\u001b[39m, \u001b[0m\u001b[33mxlabel\u001b[0m\u001b[39m=\u001b[0m\u001b[32m'y'\u001b[0m\u001b[39m, \u001b[0m\u001b[33mylabel\u001b[0m\u001b[39m=\u001b[0m\u001b[32m'z'\u001b[0m\u001b[1m>\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=\"font-weight: bold\">&lt;</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff; font-weight: bold\">Figure</span><span style=\"color: #000000; text-decoration-color: #000000\"> size 792x288 with </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2</span><span style=\"color: #000000; text-decoration-color: #000000\"> Axes</span><span style=\"font-weight: bold\">&gt;</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 792x288 with \u001b[0m\u001b[1;36m2\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAApoAAAEWCAYAAADGljfBAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAAsTAAALEwEAmpwYAABO4klEQVR4nO29ebwkVX33//529+2+d+69szP7MDDAoICAOiCuMeCCuyExKmpCNA8m0fyiMeTRkCeaGGOen08WE5OfEOUxRuIaDMaYICqIuw6CCLKDs+/73KX7dtX390dVDz09vXedrqru7/v16te9t7vqU6fOqf7W954653xEVTEMwzAMwzCMqMnEXQDDMAzDMAxjMLFE0zAMwzAMw3CCJZqGYRiGYRiGEyzRNAzDMAzDMJxgiaZhGIZhGIbhBEs0DcMwDMMwDCdYojnAiMh/icivx10OwzAMwzCGE0s0BwQReZ+IfKr6PVV9iar+c5/LcZqIqIjkHB/nMhF5QESmReQ2EVnXoky3hds+ICIvqPn8nSKyS0SOiMgNIlJwWXbDMAzDGBYs0ayD6yTJ6A0RWQrcBPwvYDGwCfhsk10+DdwFLAGuBb4gIqeEWi8G3g1cBqwD1gN/6qzwhmEYhjFEDFWiKSJrReQmEdkrIvtF5CPh+1eJyHdE5G9EZD/wPhFZICKfDLfdLCJ/LCKZcPszReSbInJYRPaJyGfD9yXU2BP2jv1URM5rUJarROQxETkqIo+LyBuqPnuziNwvIgdF5Jbq3joROVdEbhWRAyKyW0T+SEQuB/4IeK2IHBORn4Tb3i4ivxn+ngnPYXNYvk+KyILws0ov5K+LyJbwnK5tUo8vE5G7wnPcKiLvq/r4jvDnobAsz6yzf+WzYyIyFR77tJYN+ARXAPep6udVdRZ4H3CBiDypzrE2AE8D3quqM6r6b8BPgV8ON/l14OOqep+qHgTeD1zVQVkMwzAMw2jA0CSaIpIFvgxsBk4DVgOfqdrkGcBjwHLgA8DfAwsIerh+Afg14DfCbd8PfBVYBKwJtwV4EfA8YEO4768C++uUZRz4O+AlqjoJPAu4O/zsVQRJ4xXAKcC3CHrkEJFJ4GvAfwOrgDOBr6vqfwN/AXxWVSdU9YI6VXBV+PrF8JwmgI/UbPMc4GyC3r0/EZEn19EBmArrYyHwMuC3ReTV4WfPC38uDMvyvdqdVbXy2QTw4fAct4vIqWES2uh1ZShxLvCTKr0p4NHw/VrOBR5T1aNV7/2katsTtMLfl4vIkgbnbhiGYRhGmwzTI+KLCZKza1S1HL737arPd6jq3wOIiAKvAy4ME5SjIvJXwJuAjwNzBI9ZV6nqtiqdOWASeBLwQ1W9v0l5fOA8EdmiqjuBneH7vwV8sLKviPwF8Edhr+azgF2q+lfhtrPAD9o8/zcAf62qj4W67wHuFZHfqNrmT1V1BvhJ2Ct6AXDSOajq7VV/3iMinyZIxv+9zbIQluG1wJXARao6B2whSF5bMQHsrXnvMEHd19v2cJ1tVzf4vPL7JHX+STAMwzAMo32GpkcTWAtsrkoya9la9ftSYISg97PCZp5ITv4QEOCHInKfiLwZQFW/QdBL+A/AHhG5XkTm1x4o7IF7LUFSuVNE/rPqse864MOVXjzgQHis1eE5PNrZaR9nVZ3zyRH04FbYVfX7NEESdhIi8gwJJtfsFZHD4Xks7aQwIvJUgrr6JVWtTRpbcQyordf5wNEutq39vPJ7PS3DMAYcsdU6DCNShinR3Aqc2mSij1b9vo8nei0rnApsB1DVXar6P1R1FfBW4B9F5Mzws79T1acD5xA8Qr+m7sFUb1HVFwIrgQeAf6oq51vDx8uV15iqfjf8bH0b5a/HjjrnUwZ2t9ivHv8KfAlYq6oLgI8SJMPtlAMRWUbQ+/k2Vb2r6v1Tq8Zu1ntVxrHeR9DbWtlvHDgjfL+W+4D14bCDChdUbXuCVvj7blW13kzDGHBkyFbrCI91ZThWf0pE/l1EFjfZ9kIRuVOCFTvuFJELqz4TEfnfEsx32B/+Lo20jOFlmBLNHxI8nv5LERkXkVEReXa9DVXVAz4HfEBEJsPH1r8PfApARF4jImvCzQ8SJFe+iFwU9vaNEIxjnCV4RH4CIrJcRF4VJkhFgl61ynYfBd4jIueG2y4QkdeEn30ZWCki7xCRQli2Z4Sf7QZOk3DCUh0+DbxTRE4XkQmeGNPZqIe3GZPAAVWdFZGLCR5/V9gbnkvdhDgMpF8APqWqn6v+TFW3VMZuNnjdGG76RYJhB78sIqPAnwD3qOoDtcdT1YcIxr++N2zzXwLOB/4t3OSTwFtE5BwRWQj8MfCJzqvEMIabfiRJRm+E95XrCIaBLSd4cvWPDbbNAzcT3PcWAf8M3By+D3A18GqCf87PB15B0PFiGCeiqkPzIujF+3eCsXf7gL8L378K+HbNtosIvmB7CXoS/wTIhJ/9vwS9m8cIHmVfHb5/GXBP+P4+4EZgok45VgLfJBgPeAi4HTin6vM3EcyMPhIe+4aqz84Dvk6Q4O4C3h2+v4RgrOhB4Mfhe7cDvxn+ngnPYWt4Tp8CFoWfnUaQLOeqjnN83zrl/xWCR+9HCZLfjxAkjpXP/yw8xiHgkpp9K8eaCuup8jq1w7Z8AUFP8ExY1tOqPvso8NGaY94ebvsg8IIard8nSNSPAP8XKMR9rdrLXkl5EQzZuSn8Tu8HPhK+fxXwHeBvwvf/nGAS5CfDbTcT/ONWiZtnVsW9fQT/6ELwNORvgD3hd/CnwHkNynIVwaTNo8DjwBuqPnszwZjyg8AtwLqqz84FbiUYirSbYMLl5UCJ4OnVMeAn4ba1cfOPw3PZE57bgvCzSiz7dYLx5fuAa5vU48sIllmrxPX3VX22JdSqxMNn1tn/K8BfVf39GaruDW225V8A/1r19xlhHUzW2fZFBPc5qSnn5eHv3yW894V/vwX4ftzXq72S94q9APayl73sZa9kvoAswUoMfwOMA6PAc8LPriIYfvO7BOO9x8JE7GaCpx6nAQ8Bbwm3/zTBOraZGp0XA3cSTAQU4MnAyjplGQ+TtLPDv1cC54a/vwp4JNw3FyaH3w0/myR4mvWu8LiTwDPCz95H1T/J4XvVieabQ93KSh03Af8SflZJNP8pPPcLCJ5QPblBXT4feEp4/ucTJLyvrtHKNWmLFQTJ7qUEkzsfqySIBCuGHGryqtT1zcD/rNE9Bjy9zvHeCfxXzXtfBt4V/n64Uo/h3xuBo3Ffs/ZK3ssedRiGYRiNsNU6ErJah6ruEpHfJniEPUaQpB4NP/s27a/YUW8Vjk5W7Jhs8PlhYEJERFVbjtU3hodhGqNpGIZhdIat1pGg1TqA/yDoZX4wTC47xfWKHccsyTRqsUTTMAzDaISt1pGQ1TpCPkDQW7pSRF5feVNEnttixY7nhpvWrtixHigQDHGo5T7g/JqZ5OfTfMWOeit/GEOOJZqGYRhGI2y1jgSs1hGe0/MI3Ol+jWAC0t+LyGoAVf2WNl+x41uhzI3AK8LEdJxg4uZNeqJzWoXbAQ/4f8J6e3v4/jfCn58Efl9EVovIKoIxsJ/osE6MISBVYzTHx8d14cKFTrRFhGw2e/xvVaXyj1z171Ex7Pqe5zGoT1h27NixT1VPibschtErquqJyCsILHMrM6P/lWC2eT1+l8CS9zGChPGfgBvCzy4C/lZEFhAkeL+nqo+JyOkEk43Wh/vcAnyojnaGIHH9ZFiOu4HfDsv5xTAR/EyY4B4mmGX+eVU9KiIvJLC7fS9Bkvq3BOM0Pw+8EdgvIo+r6tNqjnkDwePzOwgmEt0SnmM3/A7wVyLyEYLZ958jHFepqtMi8gHgO2HCfbmqfr+yYziU4JPA21V1O4Fl78eB/ysiL273cbWq3iciv0WQcC4hsDQ+Pt5URP4L+Jaq/oWqliSwFv4Y8JcEPamvVtVSuPl1BG320/Dvj4XvGcYJSNw3ewk8yDcB21X15c22Xb16tb7zne8EoFwuUywWASgUCuRyveXM5XKZdeueeEJSLBbZt28fAEuXLqVQKPSkX8uw62/evLlpm0Xdvv3Uv+aaa+5U1Y2RCRqGYRhGSknCo/Pfo84MPcMwDMMwDCPdxJpohuN1XkbQ5d425XKZUqlEoVCgUChQKpUol7sZMlOfYrHIgQMHWLp0KUuXLuXAgQPHe79M372+6/Z1rW8YhmEYRkDcPZp/S7DkxUkDvyuIyNUisklENk1NTR1PEvL5PLlcjlwuRz6fjyxZqCRRixcvPp6ILF68OLJkyvSb47p9+6FvGIZhGEZAbImmiLwc2KOqdzbbTlWvV9WNqrpxfHz8hCShQlTJQm0SVSGqZMr0m1ObBFaIqn37pW8YhmEYRkCcPZrPBl4pIj8n8Gy9VEQ+1Wqn2iShQq/Jgud5dZOoCr0mU42SNNMPaJQEVui1ffupbxiGYRhGQGzLG6nqe4D3AIjI84E/UNU3ttqv2ezgymeVXqV2ZxKXy2U8z2uYRFWoTqZabVtNqyRt2PVbJYEVemnfJOgPCy6XIWtGu3XfzXJcnexj+qZv+qbvQj+OZQGjWK5v4O6KnSYLlSQhm822lRh1mky1m6QNq36nSVq37ZsU/WFg4cKFVC9D1mn9dLJP9fd3/fqGa12fQCfXdKfXv+mbvumbviv9VssCQnfxs9m211xzzea6H3RA3JOBAFDV21utodkJ7T4Gra7k6sXaW9HuY+JuLsJh0u82SeumfZOkPyz0s/7t+2v6pm/6pp/M+1ciEk0XtKrsXiu51cXS7UUyLPqe5/VU/67b17X+oJP0+o/7+jd90zd903eln7T718AmmtC4sqOq5EYXS68XyTDoe57Xc/27bl/X+oNMGup/kL9fpm/6pj/c+km6fw38XbJ2zF3l96gquXZMIhDJRTLo+tlsNpL6d92+rvUHlbTU/6B+v0zf9E3f9JNy/xqKO2WlQiv/NRQK0XpbVy4WV97ig6i/a9euyPRdt69r/UEkTfU/iN8v0zd90zd9SMb9a6AfnRuGYRiGYRjxMRTdMtXe1tD5OomtqIypWLp0KRBt1/eg6nueF1n9u25f1/qDSLlcTk39D+L3y/RN3/RNH5Jx/xr4Hk3zRk+mvud5qfEud6k/qKSl/gf1+2X6pm/6pp+U+1equmREpKPK8X3/hJ6V6n1zuRylUgnf98lkMniex5EjRzoqj+/7lEolxsbGKBaLJ1wYY2NjHD58mHw+TybTXT4/yPqZTOaE+u9Wv932TaL+IFMJZtD9f87NvOmh9//MG83urB2g323Pgumbvumbflz6ruNnJ6Qq0cxms6xbt66tbdtZIqB6m2KxyFvf+tYoi2s04brrrqNQKHT9Zeq0fZOmP+j0Gsza8aav1u+UVm3Xa7A3fdM3fdOPS7/T+GkLtndBuwlAdWP6vt/HEhrQvkNCLd20b5L0h4VuH9N04k1f0fc8r239tF8/pm/6pm/6jegmfrp+jD5wiWanvUyVxuy2Z8TojU6/TN22b1L0h41Og1k33vT5fB7P8xLRvqZv+qZv+nHpdxs/XSebqUo0VbVpZXf7KLNQKJDP56MootEF7X6ZemnfJOgPK/3wps9ms7G3r+mbvumbvkv9Zk9ueomfrpPNVCWaItKwMXsdL2cTOuKl1Ze11/btp75xMq69d7PZ7MBcP6Zv+qZv+vX0G63W0mv8dJ1spi67qteYvTaikQwafVmjat9+6Q8SIrJWRG4TkZ+JyH0i8nvdapl3uembvumbfvf62WzWWfx0mWymatY5nDwbC6Jf4LTvPHL9E7+feXV85UgArtu3H/oDRhl4l6r+WEQmgTtF5FZV/Vk3YuZdbvqmb/qm3x3ZbPZ4slkhyvjZ62oeDXUjVesTlcZ05Q1qxIvr9rXrp31UdSewM/z9qIjcD6wGuko0wbzLTd/0Td/0u8V1/KzVj4LUPTo3DCMeROQ04KnAD+p8drWIbBKRTVNTU30vm2EYhpFMYuvRFJFR4A6gEJbjC6r63nb2rYx5cOUNasSL6/a166dzRGQC+DfgHap6koWWql4PXA+wevVqbaZl3uWmb/qmb/rd4Tp+1upHQZw9mkXgUlW9ALgQuFxELmm5U83A2lazvYx04bp9+6E/aIjICEGSeaOq3tSLlnmXm77pm77pd4fneU7jZ734HAWxJZoacCz8cyR8Ne0Jgfr/HViyORg0mp0XVfv2S3+QEBEBPg7cr6p/3YtWM+/dKILloFw/pm/6pm/69fQ9z3MWP6OavV6PWMdoikhWRO4G9gC3qmrTsV9Hjx5t2AXda2OaBWW8tFoCotf27af+gPFs4E3ApSJyd/h6aaci7Xjv9hIsPc8bmOvH9E3f9E2/nn42m3USP10mmRBzoqmqnqpeCKwBLhaR8+psc72qblTVjZOTk03HDXTbmMVi0SwoY6TddcZ6ad8k6KcRVf22qoqqnq+qF4avr3Si4dp7t1wu43le7O1r+qZv+qbvUj+bzTbcrpf46TLJhITMOlfVQ8BtwOW9anXamJVGNAvKeOg0Seu2fZOiP2y49t6t6Gez2US0r+mbvumbflz63cZPl0kmxJhoisgpIrIw/H0MeCHwQBTa7TZmdSOaBWX/6TZJ66Z9k6Q/LLj23q3Wb/affi1pv35M3/RN3/Qb0U38dJlkQrw9miuB20TkHuBHBGM0vxyVeKvGtCQhXnzf76n+XbevXT+94dp7t1f9tF8/pm/6pm/6jXAdPzslzlnn96jqU8OxX+ep6p9FfYxGjWlJQvyUSqWe6991+9r10z0uvXfNG930Td/0Tb85ruNnJwz88+LaxrQkIRnk8/lI6t91+9r10x1Reu9WB8uog2Tarx/TN33TN/1GuI6fbZejb0eKkUpjmrd1cohyTKzr9rXrp3Nceu8WCuaNbvqmb/qm3w6u42c7DHyPpmEYhmEYhhEPQ9GjWemONm/r5BDlAvmu29eun84pl8vOvHfNG930Td/0Tb89XMfPdhj4Hs3aMQ+tZnsZ/aFUKkVS/67b166f7nDpvWve6KZv+qZv+q1xHT/bZaATzUYDay1ZiJ98Pt9z/btuX7t+usel9655o5u+6Zu+6TfHdfzshIFNNFvN3rJkIV4ymUxP9e+6fe366Q3X3ru96qf9+jF90zd902+E6/jZKQOZaLa7REB1Y0Y5ZtBoj26/TN20b5L0hwXX3rvV+p7nta2f9uvH9E3f9E2/Ed3ET9fJ5sAlmu02YoVKY5aKJbzZEnOHj1Hcc5DpLbuZenQ701v3UNxziLnDU3jFOVS1D2cxPHT6Zeq2fZOiP2y49t6t6Huel4j2NX3TN33Tj0u/2/jpOtlM1axzVaVYLDZsoGaNqKpo2cMvzeEXw1fl97kyHh73/v4/tC6EQKaQJ794ksLyRRSWVb2WLyI7PoqIRHG6Q0P1l6nZF7DTL2lc+saJVAJeq9mOvXije543MNeP6Zu+6Zt+PX3P85zET3A7Gz1ViaaINGyo2kZUVfzSHN7ULOVjM3hTs/jlxo/X2l4/XMGfLTG7Yz+zO/af9PHI4kkmzlrDxIa1jJ+1hvyS+ZZ4tkGrL2u3X9I49I2TaRXMenWsyGazA3P9mL7pm77p19PfsmVL3aXjeo2frpPNVCWaQN3GrDTiogULkekS07sPtUwsXTF34CgHf3A/B39wP/BE4jl57uksOH89mfxI38uUFhp9WXv9kvZb36hPo2Dmwrs8zdeP6Zu+6Zt+Pf1sNussfrpMNlOXaNY2pqqyf89eJvwspcd2JW4MZXXimRnNs+DCM1l08ZOY2LAWidCGcVCobV+IdgHbfugPOyLSdLxPLpejVCodn4BX/R96t+OEPM/jyJEjAIyNjXH48GHy+TwQBM6xsTGKxWIk42hN3/RN3/Tj0ncRP5vpR0HqEk0IbuYL5k2we9sOdK7MeDkDKiQrxTwZf7bEwe//jIPf/xm5BeMs2ng2i5/zFEbjLljCqCSDafWWHXay2Szr1q1ruk2xWDxe/6tWreq5/o8cOcJb3/rWnjQMwzCSzHXXXcf8+fMjj5+1VOtHQeoSzfLUDMU9h5iZmsbP9ndJoqUr70AyZWamVlOcXs5caQHQ3fjL8uEp9n79x+z9xo9ZvfERJs89ncLi+dEW2DAMwzAMI0ZSlWhq2WPqsZ3MiTKd9ZnwgkfP01mfeV6GEXU76SaTLXLK6m/izc1DBfCzzEyvYPrI6cxOr2R2ejnluUk6Sj4VZrbsZWbLXgorFjPP28r4hjVDPYGoMqYlrd6yRnOs/g3DMLqj3/fHKEhXounr8SSzOrGc52X6kmzu2XYZI/nDTC56AL88Bihj4zuYN7kV9bOI+PhegZmplUwdXUdxehWz08vxyuNt6Rd3HWDnh7/AvNNXsuqXn8f4+lXOziWp1Bs43c7SEUnSNxrjuv4NwzAGFd/3+35/jILYEk0RWQt8ElgOKHC9qn641X71EsoRlT4lmxl2PP5qTh35FGMT2/HKY/heAY5PblcQn3mTmxmf/ziqQfLplceYmVrN9NF1TB05jeLMiubn+PhOHvk/n2XRM89l5aufw8jkPEfnkywaXeTtrlOWFH2jPq7r3zAMY5AplUp9vz9GQZzTnsvAu1T1HOAS4G0ick6zHVRomEhWJ5tz0vm0oHZHe6rm2PrI6ygVF5HJzdR8KqBZfG8UrzwP3yvglUcRKTM+/1FWnPrfrFp/c9tlOvi9+3jwfZ9g3zfvRgfcIrPVRV79Zeqm17Cf+sbJuK5/s5A1DGPQyefzsdwfeyW2RFNVd6rqj8PfjwL3A6ub7SNK097KbpPNOVG8Drb3vVG2PPQG/PIYmexsi60F1Ry+V8D3R9i34zltHwfAmymy/bO38fD//jTTW3Z3tG9aaPci7/bLlBT9YaUf9V9Z+80wDGNQyTRZEjHJ969ELOQoIqcBTwV+0KtWp8lmZcxntsPH7eXSAjY/+EbQLJJpfZPLZGeZnV7B0YNP7ug4FWa27uGRD32Gvbfdlbi1Qnsh7d6ylmQ2p1/1X1mzzjAMY1hJ6v0r9kRTRCaAfwPeoapH6nx+tYhsEpFNU9NTbWm2m2xWTyzqpiJKs8vY+vBrkYyPSPOFUkXA8wrk8iedYtuo57Pj87fz8+v+g/JUq57U5BOF92uzL1NS9YeFftZ/s//0DcMwhoUk3r9ijc4iMkKQZN6oqjfV20ZVr1fVjaq6cXxee7O3oXWyWW/2ejdMHzuNHY+9kkx2DqSx5aVXHmV8cjNnPOX/Y+mqb7bVC9qII/c8ykMf/BRTj+3oWiNu6s2e64RWX6YovWtd6A86Vv+GYRjxkLT4GVuiKcFCkR8H7lfVv3ZxjEbJZlRJZoWjB89jz7ZLyeaKNJ5WJOEs9RxLV36bM5/yESYX3dtk++bMHTjKI3/9OfbdfneXpY6XerPnOqXRl8mFd60L/UHG6t8wDCM+khQ/4+zRfDbwJuBSEbk7fL006oPUJptRJ5kVDuy+hIO7N5LNzUKVGWYmWySbm+F4QqlZvPIYkplj9fqbOe3JNzCSP9zdQX1l++duY+fN30nduM1Gs+c6pfbLFPWXyLX+IKKqVv+GYRgxk5T4Gds6mqr6bbr1b+yQSrJ5LLSsnHCy1qawe+uLyBWOMLngIbzyGJnMHF55HkcOPpnFyzYBwZqaIKg/gufnKIztZt7kZoqzizm878Kujrznlh9SPjrNmtdfhmTTMVYtyjF15o2eLETE6t8wDCMBJCF+piMrSQ0Zdjz6S8xMrSKbm0EyHrs2v4Q9W1/EY/e+lakjp5PNzZLJVLqxBd8bQ1DmTWxn2ZrbWLz8ey0nFtXjwHfv5ef/9B/4pbloT8kwDMMwDKNLhiLRrPZGn+hhUfd2UB1h68OvZ664kOmjp3Ls8FkAlIpL2PrwlWx9+HWUy5NBIiplQMnkivjeCOpnWbbmG5zxlH9gYsGDVD+CByiM7Wb9ef9IYWxX3WMfuecxHv37m/Bmk7+mYJQLbFd7sy5durTrRWvj0h80VNXq3zAMIwEkIX4OfKJZOyazVwehdvC9MR772dVsffj1nDg6QJg6cgaP3vvb7N76AkSU/OhB0GAReMjglcfIZmdYc+YXOPXsT5If3RPuq6xY9xVGx/Zw6tk3kssfqnvs6Ud38PPrvoQ/13mvaD8plUqRXOy1Y056dUjot/4gIiJW/4ZhGDGTlPg50Ilmo4k//Ug21c+j2mAIrGY5uOcZPPLTt3P4wJPxvDySCXo3AXw/j1ceZd7ENtaf+zFWnPoVFiy9m7HxHcyVJslmZ1m34VNks9N15Y89uJWtn7wF9ZM7QSifz/d8sbfjnZ1k/UHG6t8wDCM+khQ/BzbRbDW7vB/JZiu88jjbHn4D+3Y8j7niQiQzV7W+ZrAcklfOs/CUu1h12n/g+9nj7+cKh1l71mcQqT8m89CdD7HjC7cndjZ6JpNJjXe5C/1Bx+rfMAwjHpIWPwcy0Wx3CaPqZDO6EYOdU56bz/5dz+Tg3qfie6PBckjHF38PHqeX58ZR/wmbPb88yuj4Dlad8UUarcW57/a72XPLj9yfQJek3bvckp3m9LP+oxzzaxiGkVaSeP+KbXkjV3S6TuaIChMywkxBWfLc88mOFcgURsiM5smM5PBLc/izJbziHN50kdK+QxT3HGTu0LHauTo9IhSnV7Lr569g8fIfsHTVtxAp4ZVHCcZ51p5L0LM5ueAhlq/9Kru3vrjONrDrS98hv3QBizaeHWVhI6P6Ym9nba9evLOToJ9GROQG4OXAHlU9r5N9+1X/hw93uRatYRjGgJDU+1eqEk2VIJFslEC2k2RKNkNufJTc+BjZ8VEyhREkk+HQoUOsef1lbZfFL80xu/MAU49s49hD25h6ZDveTO//FaiOsH/Xczi8/wKWrfka85fchzcXTBSqczZ45VEWLdvEXGk+B3Y/q67mthtvZd6pyygsW9Rz+VzQ7sUehXd2P/QHkE8AHwE+2c3O/aj/fD7fekPDMIwU0+zJjev7Yy+kKtEUpWEi2SzJzOSyjCycYGThBNmx+pXY6QLimfwI89YtZ9665Zxy2dNRX5n++U4O/ugBDt35EN6xmc5Oroby3CQH91zE/MU/o/m69hk8r8CyNd9grjSfowdP7nDyi3Ns/vhXOPMPXktmJJlN3upij9I727X+oKGqd4jIab1ouK7/KA0ADMMwkkhltZZ+3x97JXXRuRPv8pH544yfvpKJJ53K6MolDZPMKJCMML5+FWteeynnfvBqTv+dVzF53uk9KPqsWPcVVOs9Nq9Bs/hentXrv8S8yZ/X3WRm6x52fvFbPZTHPWn3Lq/oDyMicrWIbBKRTceOHau7TZK8dw3DMNJGvdVaXN8foyB1iWYr73IRyC+aZGLDGuatW05uYgyRvjhdHkeyGeaft571v/NqNvzRG1m48WzIdFaGyYUPMDaxHdUs7QwGVc3h+xnWnvlZCmO7626z7/a7OXz3Ix2Vo9+k3bt8WBMlVb1eVTeq6saJiYmG2yXFe9cwDCNt1K7W0o/7YxQk8zlqCxp5l48sGGd0xWIy+ZGYS/gEY2tOYd2bX8qKlz+T7V/4Jkfvfbyt/WanV3Jg90XMm9hKfvQAqhlEgvP1vVy4RueJyav6eSQ7y6kbbuTx+99CubTgJN2t//JV5p2+kpEF4z2fmyvMu3ywsfo3DMPojn7fH6MglYlmLdl8jvFVy8hNjMVdlIYUli1i/e+8msP3PMqOz3+T0v7ms2TnSovYtfnlAIiUKYztYXTeLsYmtjBvchsj+UOoZhHxUBXUH0E1i++NksnNsG7Dp3j8/jfjeyfWiTdTZOcXv8WpV13u7FwNwzAMwzAgpYlmtXd5ftEkUxmPeSOZVJzMgvPPYPLJ69j5799m3213tbWPao7Z6VXMTq/i0L6nAZDJFCmM7aUwbyfjk1sYm9hGbuRY0POJUpi3i7VnfYYtD77pJIeigz+8n8XPeQoTZ66O/PyioNqbFYj80apr/UFDRD4NPB9YKiLbgPeq6se71bP6NwzD6I5+3x+jIA252QkcTzLJMf+0FeQmxiikbJxXZiTH6tc8n4kNa9n6L7d0peH7BWam1jAztYZDey8KdLOzjI7tPp58FubtZiR/mFJxyUn7b//sN9jw7jcg2WQN06035iTK2XD90B80VPX1UWm5rn/DMIxBxff9vt8foyBZWUYbTGd95udHWXjWqccflafVoWXBBWew4Y/eSH7J/Ej0fG+U6WPrOLjnErY9+qs8+tPfrZtkAsxu38e+O34SyXGjIu3e5RV9oz5J8t41DMNIG6VSqe/3xyhIVaKpAgvGxllw+hoyuewJn/Va2XFZ2OUXz+eUy57O6Kr6CaFLdv3Hd5k7Ot3349Yj7d7l1frGybiuf7OgNAxj0Mnn87HcH3slVYlmJiMsOG0V0mCpoF68lUulUlTF7JjMSJalv3AB805f0dfj+rMl9n79zr4esx5p9y63JXqa04/6j/P7axiG0Q+aGVMk+f4Va6IpIjeIyB4Rubet7bPZltt0WtmVSo7bwk4yGZY86zyWPPf8vh53/x334E3P9vWY1fTizdpJ+yZFf9joV/3H/f01DMOIm6Tev+Lu0fwEEPk6O+1WdnUlJ8XCbvVrL2XBU8/q2/H82RL7vhnPWM0ovFnbbd8k6Q8L/az/pHx/DcMw4iSJ969Yo7Oq3gE4mT3RqrKTmiRIRjj1qssZ37Cmb8fce9td+KW5vh0P6s+e6wTX7ZvW6ycpWP0bhmHEQ9LiZ+K7AdrxUG5EWr2VMyM5Tn/rK8mfsrAvx/OOzbD/O22NXoiMerPnOiXt3uiDjNW/YRhGfCQpfiY+0WzXQ7kRafVWzo4VOO03X4bkWo9LjYK9X/8x2seZu41mz3VK2r3RBxFVtfo3DMOImaTEz9Qt2N4NafVWHlu7jFVXPJftn7vd+bHmDhxh6uHtTJy91vmxoPnsuU4xb/RkISJW/4ZhGAkgCfEz8T2aw87S5z+V+U9Z35djHfzRA305jmEYhmEYw0Hcyxt9GvgecLaIbBORt7g4TrV359KlS1PnQLL6V5+PjLjvfD7044fw58rOjwPRLrDtun3Tfv30G1W1+jcMw0gASYifcc86f72qrlTVEVVdo6ofj/oYtWMS0mh3l1+ygOUvvsj5cfzZEkd++pjz40AwGSiK+nfdvoNw/fQbEbH6NwzDiJmkxM+BfnQ+SN7Kp7xwI/lTFjg/Tr8en+fz+dR4lw/C9dNvrP4NwzDiI0nxc2ATTdfeyv0mM5Jj+UsvcX6co/c+jjfr3s4vk8mkxrt8EK6ffmP1bxiGEQ9Ji58DmWh2460c5ZhBVyza+CRGFs93egz1fKYe3eH0GBXS7l1uyU5z+ln/afj+GoZhuCaJ96+BSzS79VYuldz34vWKZDMse8HTnR/n2MNbnR+jQtq9yy3ZbE6/6j8N31/DMAyXJPX+lapEs9Vs1l68lfP5fBRFdM7iZ51HdnzU6TGmHtrmVL+WtHuXW7LZnH7Uf1q+v4ZhGN3S7MlNku9fqUo0m81m7XXF+ygXEHdJJp9j4dM2OD3G9JbdfRmnWU3avcur9Y2TcV3/afn+GoZhdEuj1Vpc3x97JXXROSnenXGy6KInuT2Ar30bp1lN2r3LK/pGfZLkvWsYhpE26q3W4vr+GAWpSzST4t0ZJ+Nnria/xO1SR1OP9PfxeYW0e5cPyzXYLfb9NQzD6I7a1Vr6cX+MglR6nSfBuzNuFjz1TPZ+7U5n+rO74nsEbN7lg43Vv2EYRnf0+/4YBanr0TQCJjascapf3HPQqb5hGIZhGINPKns0q707gaF89DZ+xmrICPjqRL+09zDq+0gMkyxct69dP/Fi9W8YhtEd/b4/RkHqejST4t0ZN9mxAmNrlznT17JH6cBRZ/qNSLt3+TBdg91g31/DMIzu8H2/7/fHKEhdopkU784kMH76Sqf6/X58nnbv8oq+UZ8kee8ahmGkjVKp1Pf7YxSkKtFUVWfenWm0sMufstCpfnF3/xLNtHuXV+sbJ+O6/tP4/TUMw+iEfD4fy/2xV1KVaIqIM2/rNFrYFZYtcqrvTc041a+Qdu9yW6KnOf2o/zR+fw3DMDqhmTFFku9fqUo026Fbb+VYLezOvPqJVwcUljtONGfnnOpD+r3LLclsTr/q3ywoDcMYdpJ6/xq4RBO681ZOo4XdyMIJp/p+0W0vUdq9yy3JbE4/6z+N31/DMIyoSeL9K9boLCKXi8iDIvKIiLw7Sm3X3spJIJPLIll3TegX3fVo1s6e65S0e6MPOlb/hmEY8ZC0+BlboikiWeAfgJcA5wCvF5FzojzGMHgrZ0bdPTL0Zt31aNabPdcpafdGH2Ss/g3DMOIjSfGzZaIpIr8rIi4GA14MPKKqj6lqCfgM8KqoDzLo3sqZgrtE03eYaDaaPdcpafdGjwoR+bqIvLTmvevjKEuz1SE6JS31bxiGkTSSEj/bcQZaDvxIRH4M3ADcoqpR2NGsBrZW/b0NeEbtRiJyNXA10PXSMYPsrSwi7sQjaeb6RDmmzrzRATgd+J8icpGq/mn43sY4CtJqdYhOSUn9G4ZhJI4kxM+Wd3tV/WPgLODjwFXAwyLyFyJyhuOyVY5/vapuVNWNExNuJ7+kEc/hhB2Xj+WNyDkEXAYsF5H/EJEFMZfHMAzDMNrzOldVFZFdwC6gDCwCviAit6rqH3Z57O3A2qq/14TvRc4geyu7fLzt9LF8hAtsmzc6AKKqZeB3ROQq4NsE39O+o6oUi8Vhq/+u+cnv/E3cRWjKBf/4zriLYKSEpF/LMHzXcxLiZ8tEU0R+D/g1YB/wMeAaVZ0TkQzwMNBtovkj4CwROZ0gwXwdcGWXWg2pNyahMmYh7Tcr9Xy07DnTzzrs0SyVSpEkI67bN0XXz0crv6jqJ0Tkp8Db4iiIqMeBPVtZPJmlMNLbEIninM+Bo16gVd4FwOIx/2T9ogePxDIktWcWL/9e3EVoziPjcZfASAmJv5Yh3ddzcR9Mte/Y13b8dEw7R1kMXKGqL1bVz6vqHICq+sDLuz1w2PvyduAW4H7gc6p6X7d69Rh0b+Xy0Wmn+pnCiDPtfD6fGu/yNFw/qnpdzd93quqbo9DueBkygcWTWQ4c9SjOdd9zfUKQrAqIhZFMJPqGYRiDSpLiZztjNN+rqpsbfHZ/LwdX1a+o6gZVPUNVP9CLVi2uvZWTwOzuA071XY7RzGQyqfEuH9Trpx26XYas12DWKEhGpW8YhjGoJC1+tjVGM2104608NjbWxxKeyE37bjr++xVLr2h7v+KeQw5K8wS5eW4fC1fXfyePobtp3yTpp4zjy5ABiEhlGbKfNdxDcjC+jgKweCysy7EO6//IARYva1H/VfpjY2MdW7gmhQO7p+IuQlPWprRejf6T9GsZUn49F66D8flNN+kmfnYSn7th4HzbuvVWLpXc2i26oLi7/bEa3ZA/ZaFTfUi/d/kQ9GzWW4Zsde1GInK1iGwSkU3Hjh07/n6/6j+N31/DMIwoSer9K1WJZmU2ayN68VbO59O3lM/Mtj1O9QvL+zNpOe3e5UOQbLak2TJk/aj/NH5/DcMwOqHZai1Jvn+lKtEUEWfenVEuIN4P/Lky04/tdHeAjJBf0r+lGNPuXV6tP2BEsgyZ6/pP2/fXMAyjUyqrtdTi+v7YK6mLzknx7oyb6cd3Ol3aKL9kAZlc1pl+PdLuXV7RHzCOL0MmInmCZci+1I1Qkrx3DcMw0ka91Vpc3x+jIHWJZlK8O+Pm2MPbnOoXlsWy1nfqvcsH7RqMehky+/4ahmF0R+1qLf24P0ZBKmedJ8G7M24O3/2IU/1+jc+se2zzLk8UqvoV4Cvtbl8q+9yzZW/TbcQXDm3dAUA5N8be3Ud6KmPWK/HbN3y9J43Y2Hh+3CVoTlrr1eg/Sb+WIdXX85L9R/GyxcjjZy3V+lGQuh5NA2a272N2+z6nxxg/Y5VTfcMwDMMwBp9U9mgmwbszTg7+sKd18tti4syTVrDpG+ZdPtiI75Erz1LOBWvXBr+Popn+jgk2DMNIG67jZ61+FKSuR7N2TMKwLS2jvs+hTQ86PcboqiXkJuc5PUYjXLdvP/SNxjwRxILAqJks5dwoufIs4rub3GYYhpF6VJ3Gz3rxOQpSl2imxXvaFYfufIi5g0edHmP8rLWtN3JA2r3LK/pGfWqDWAVLNg3DMFoj6jmLn43icxSkKtFUVWfe080WQk0Se776I+fHmNiwxvkxakm7d3m1vnEyrYJYz8FSNYJSGoZhJBeV+r2MvcZPl0kmpCzRFJG2vac7SRaKxWIqLOyO3PuY80lASP/HZ3bjLd5p+yZBf1hpN4h1GyzF9xC1nlDDMAYckYYf9RI/XY+TT1Wi2Q7deisn3cJOfWXXf37f+XEmzlrb1/GZafcutySzOZ0GsU6DZUVfxSYSGYYx3HQbP11Pxhy4RBO681ZOuoXdge/ey8zm3c6Ps/DiJzk/RoW0e5dbktmcboNYu8GyWr/Zf/qGYRjDQjfx0/WKH8nOrnrAtbdyPylPzbLz5m87P47ksix86lnOjwPBmNi0eJen/fqJg16DWKtg2c8gaRiGkSaSFj8HNtGEwfFW3nnzt/GmZp0fZ/5T1pMd6099lEql1HiXp/366T8aSRBrFCwtyTQMw2hOkuJnLImmiLxGRO4TEV9ENro8Vtq9lQ//5FEOfPunfTnWoouf3JfjAOTz+dR4l6f5+okDgciCWG2wtCTTMAyjPZISP+NyBroXuAK4rh8HS6u3denAEbb+yy19OVZ2fJTJc0/ry7GASMfEmjd6slCINIg9ESxngMDb15JMwzCM1iQhfsaSaKrq/RAsV2TURz2fzTd8BW+6PwvQL/2FC8nk7OZtGIZhGEZ0JN7rXESuBq4Gul4MO43e1ls/dSvTj+3sy7EyhRGWPv/CvhyrQpQL5Js3erIQgnFArrx37dG5YRhGeyQhfjoboykiXxORe+u8XtWJjqper6obVXXjxMREx+VIozf6ji9+i4M/+Fnfjrf42U8hNzHWt+NBMBkoLd7labt+4kbBqfeu2VUahmG0Jinx01mPpqq+wJV2u7TjbZ20nqk9X7uTvbdu6tvxJJvhlMue1rfjVcjn8z3Xv+v2TeP1kwzkeDDr5T/ndrzRrWfTMAzjZJIUP1O1vJF28LjVtbe1C47c+zg7b7qjr8dc9IxzyC+a7OsxIZgMlBbv8rRcP0nCtfeu9WwahmHUJ2nxM67ljX5JRLYBzwT+U0TamlqtZZ/Z3QdabteNt3WUYwY7RX3l4KYHOfyTR/t6XMlmWPaii/p6zGrS7l1uyWZzXHvvVuujGkWRDcMwUk038dN1shlLoqmqX1TVNapaUNXlqvridvct7jnEzLa9DXs3u/W2LpVK7Z9AhHjFOfZ/516OPbi178c+5QVPp7BsYd+PW03avcst2WyOa+/dir6o9WoahjHcdBs/XSeb6Xp0LjAnSungUaYe3YFXnDvh8168rfP5fNTFbcnM9r08/Jc3MrMlGg9zRdmfOcqPRh7mxrE7+F/z/5X9maN1tx1ZNMmyy58RyXF7Je3e5ZZsNse1965msqjYOE3DMAacJk9ueomfrpPNxC9vVI0oTGd95nkZmC0x9cg2RlefQn7hRM+OLVEuIN4O+791D9u/cDs658HC7jQOyxSP5XbzcG4n94xs5qHcDqalSJYMhzJTrC8vJ6f1z2vVr/wC2cJI9ycQMa0m2ETpXe5a3ziZVgPQe3assDV5DcMYcES9ukvH9Ro/XU8QSlWiCTDPyxxPNkd8mNm6h5kDh5kqwJIUOLbM7tzP9s/exrGHOntUfkxmeTwbJJX3jmzhgZFtHJEZcmQpUWaEDAUdYVJHmZYSK7xFfPDwG1mg4ydpTTzpVBZceGZUpxQZjZJBF97lLvWN+jQKZmYraRiG0RqVrLP46TLZTF2iOaJyQrIJMF2cZnwmi+am0FNGkD73TraDN1ti939+j7233Q1tTDw6ItPcXriP+0a2cH9uG/szRxkhSwmPHBkKmmNSRxGEeTzx2H+WOQThA4ffwAp/0Um6ks2w+rW/mFhXptpkEKJdIL0f+kZjaoMZ2ALshmEYbSHiNH7Wi89RkLpEE55INo9lg4RtwsuQ02Ci0NyBo+SXLiC/eD6SjT/hLE/Nsu/2u9l3+114U7Nt77cp/wgfnvgy8zRPQUeYr2NhUtmYOcrMSZn3HXkdZ3or6m6z8ornMbo82b1u5l0+2CTBe9cwDCONuI6ftfpRkMpEsxl+2WN21wGKew6RXzKf/OL5ZPL9P83i3kPs/9Y97P/WPfg1k5ba4TnFc1g97zaOZmbIt9FMHj7TUuIdx17O0+fOqLvN/PPP6LvVpGEYhmEYw0sqE805UaazPhOVR+eVMZv6xONg9X2Kew9R3HuI3PgoIwsnGFkwjmTd9ZyUj81waNODHPzh/Uz/fFdPWnlyvO3YS3j//M8ziiI0ftTtoxyTWa6cfh4vLF5Yd5uRxZOsfdOLEvvIvBrzLh9skuC9axiGkUZcx89a/ShIXaJZSTKrE8sTJgjpyYlUeWqW8tQsszv2kRkrkBsfIzc+SnZ8tKfxnN5sialHtnPs4W0ce2grM1v3gB/NwtFF5ng8t4eyePiqZBskmopyVGZ40eyFXDnz3PpiGWHdm19Kbjy6MReuqDcxJ0q7x37oG42pN3Dd7CQNwzDaQJWc5y5+upqYmbpEs15CWTtBqF6yCcESVN50EW+6SHFv8F5mJEemMMJcxmfvbXeRHc2TKeTJjo4gIzn8Uhm/WMIvzoX7HaK45yDFPQeZO3gUIjYkUZTv5R/kH8f/m0OZKSb9MbINljtVlCMyy9NLZ/C2qZc07PVc+cpnM75+VbQFdUDavcsr+kZ9kuS9axiGkTZEPWfx0+XqH6lKNFVomEi2m2zW4s+V8efKlDI+Oz5/e8Ql7ozd3kGuWfDPPJDbzohmma/Nu66PyizrvWW85+gvk6P+hbH4medyygs3uihupHTiLd5NMthPfeNkOvHe7SrQmQWlYRgDjkrWSfx0vcRcqhJNUZomkN0mm3OieBLfjWrKn+W24t3cPfcoo7mR48sWQeXReDBbfVRHjk8MOiqzLPEnef/hKxmjvqvR/PNOZ82VL0j8uMxuvMU7SQaToj+sdOO920nAE98zC0rDMAafJvfyXuKn66dJ8a//EzHVyeZcG8ljZcxnts2kNGq+P/IQf3/s37mr9CgF8seXMQKYkRJHZZZzymu4YuYSZmUORZmWImOa54OH38jCOguyA8xbv5J1v/myRCzx1Iy0e5dbktkc1967FX2zoDQMY9jpNn66HrKUqh7Ndmm3Z7N6YlFcPZq7swcpaZnxzBMTdebwmJESi/wJ3jZ1Oc8obaCMz3cKD7Ajc4ACOf78yJWs8us/pi2sXMzpv/1qMvnkWEzWIwpv8Wb7JlV/WIjCe7fZvtX6GevRNAzD6Cp+uh4Xn+zurh5o1bNZb/Z6HLx09unMz8yjqHP4qhyRGebE49enfpGPH3wbl5TORhBGyPK7x17KCFmuPfIrbCjXn9yTXzKf9W+7IvEzzH3fj8xbvF7PY5Te5S70B50ovXfr/WdutpWGYRj1SVr8HNhEExonm0lJMgFGyPHS0YuZU48iJX6xeB43HHgbr5l91kkLtV84dzr/tv9/ctHcWXW1Rtecwpl/8Dryiyf7UfSeKJVKkXqXVyeDLrzRXegPLhq59251sLQk0zAMozlJip8D+ei8mrre6AlJMiuclVvNS0cvYnVuKVfuvKTptiMNZpdPbFjLaW99BdmxdCQ++Xw+Nd7lLvUHEQGn3ruWZBqGYbQmKfFz4BNNqO+NnpQkE0BEuKhwdtf7L3jqWZx61eVkRtLTnJkeFsqvxbzR3SAirwHeBzwZuFhVN7Wzn4JT713zRjcMw2iPJMTPWB6di8iHROQBEblHRL4oIgvjKMcgsOQXLmDdW16aqiTTSA33AlcAd8RdEMMwDCOdxDVG81bgPFU9H3gIeI/Lg1V7o090sPRRkskURlj76y9mzWsv7clGMy58349Mq9q7fOnSpW0vTZQU/aSiqver6oOd7ifQ1tIabetVee+Wc2NtL91hGIYx7CQhfsaSoajqV1W1HP75fWCNq2PVTvzpdJ3NJDK6eilnvftKFj/jnLiL0jWlUimSZK12Yk6n62DGrT+IKEQWzGoHrne6TpxhGMawkpT4mYSusDcD/+VCuNHs8jQnm0ueez5nXfN6Rpen2+own8/3nKy1412eZP0kICJfE5F767xe1aHO1SKySUQ2TU9NRRLM2vFGt2TTMAzjZJIUP50N7BORrwEr6nx0rareHG5zLVAGbmyiczVwNcCi+QvaPn6rJYzqzUZPMrmJMVa/7lIWPm1D3EWJhEwmkxrvchf6SUFVXxCRzvXA9QArV69V19679WZTGoZhGJ3HT9eTg5wlmq1uYCJyFfBy4DJVbditWH0DW7tydVvdj+2uk1mdbI74yZmFfgIiLHneBax8xTPJzhusG2ravcsHJdl0hWvv3Wp9P2OT4QzDMLqJn66TzbhmnV8O/CHwSlWdjlK708XYK8lmXBaUzZi3fiUb3n0la177iwOXZFZIu3f5ID1Gr0VEfklEtgHPBP5TRG7pVMO1925FX8yC0jCMIafb+On6MXpc3QAfAQrArSIC8H1V/a1WO6kEiWQ73uWdrJM5osJcgtbVzM2fx8pXP4dFF5+DZJJTLlek3bu83qLug4CqfhH4Ys86jr13NZNFfVtX0zCMAafxw9+e4qfrns1YEk1VPbOb/YTGrj692komYZRmbmKU1a+7lMWXnEsmP1yPAlslg1F6l7vWN06mVTDr2RZNBv8fMsMwhhtRD/G9yOOn62QzCflV22RGcixespjpEU2sd3k3jCwcZ/GzzmXFK57F0uddMHRJZoW0e5dX9I36JMl71zAMI22oZJ3FT5eP0VOX0UwsW0Ju/jj7d+8l5wnl6WI6k8yMMHnOaSx5zlN4ZMXdQ/GIvB3S7l1uE4KakxTvXcMwjNQh4jR+ulrNI3WJJsDo6ChLVyxj37596EiBRSOjyNFZvNlS3EVrybzTV7Looiex8OkbyE3OA0D2/STmUiUL8y4fbJLgvWsYhpFGXMfPWv0oSGWiWY1khPyiSQorluLNlpg7dIzy0enkJJ0ZYd6py5k89zQWXfRkCssWxl0iwzAMwzCMvpDKRLPaexqqHn2OFsiuWAwrFuN7Ht7ULOVjs3hTM/1LPMPEcvysNUxsWMP4+lVkx6y3rBMatm9EvY6u9Y3mVHvvgj06NwzDaBfX8bNWPwpSl2jWm7hRbzZxJpslM3+ckfnjAPiehz9Twi/N4RfDVyl4NVkxoCGSy1I4ZSGFZYvILw9+FpYtYmz1Uksse6Dd9k2yvtGYegPX++lQYRiGkVpUyXnu4qeriZmpSzRbeU83ShYy2SyZiTHgxCxdVdGyB0eOcNb/+GX82Tm8YilMRMtk8jmyo3kyhREy4c9sIU9u/jwkk6pJ+4mnHW/xXpLBfukb9WnHe9eSTcMwjPqIes7ip8vVP1KVaKpq5N7TIoKM5NBshnnr6lmzG/0g7d7l1frGyTj33u3msYRhGEaKUMk6iZ+ul5hLVZeciLTtPd3JI8xisUiplJDJQ0NIN97inbZvEvSHlW68dztZx018zywoDcMYfJoYU/QSP10/TUpVotkO3Xpb5/P5PpTOqCXt3uWWZDbHtfduRV/FHrcbhjHcdBs/XQ9ZGrhEE9pPFqqThIyNt+w7UXiLt9u+SdIfFqLw3m0WLKv1zYLSMAyju/jpelz8wGZXrZIFSxLixff9yLzFXbSvXT+9EaX3br1gabaVhmEY9Ula/BzYRBPce1sb3VMqlVLjXW7XT6eoU+9dSzINwzCak6T4OdCJJpycLFiSkAzy+Xzk3uUu2teun84RcOK9K75nSaZhGEabJCV+pmp5o24xb+vkEeWYWPNGTxYKTr13zRvdMAyjPZIQPwe+R9MwDMMwDMOIh6Ho0TRv6+Th+35kWuaNnixElfzs4ehmgqsi+Gj4f3G+dCT4vVpflSW77upeX73jSyQd/z3K8pu+6Zu+6feon52bIVue7Vy/Vfx0zMAnmq69rY3uKJVKFIvFVHiX2/XTOYKPr1nodYiE75PBx+cJLfWFDN4J+oKPl+18LVzxvZO8g6Mcx2T6pm/6ph+VfrY8i0oHMbXN+OmaWB6di8j7ReQeEblbRL4qIqtcHKcdb+tOHGCM6Mjn8z3Xv+v2teune3yyZPCgl55r3w8CIjUBMZOJRL8d7/VOHDZM3/RN3/STou86fnZCXGM0P6Sq56vqhcCXgT+J+gCdeFtbstB/MplMT/Xvun3t+umRXoNZoyAZkX4n3uvdBHvTN33TN/249F3Hz06JJdFU1SNVf44TTFSNjG68raMcM2i0R9q9yy3ZbEG3waxVkKynr+3r98N73fRN3/RNPw79ruKn4/wntlnnIvIBEdkKvIEmPZoicrWIbBKRTceOHWup2623dalU6qT4RkSk3bvcks0WdBrM2g2SNfqCOvH27TTYm77pm77px6Xfbfx0nWw6SzRF5Gsicm+d16sAVPVaVV0L3Ai8vZGOql6vqhtVdeP4+Lgzb+t8vvOJBEY0pN273JLNFrQbzDoNklX6irQMxt0O4m832Ju+6Zu+6bvUb/rkpof46TrZdJZoquoLVPW8Oq+baza9EfjldjRFxJn3dJQLiBudk3bv8mp9ow6tglm3QbKCZJoG+26DfIVWNxPTN33TN33X+oK6iZ+Ok824Zp2fVfXnq4AH2t3XvKcHl7R7l1f0jQY0Cma9BsmQRsG+1yBv+qZv+qafBH1FnMVPl8lmXOto/qWInA34wGbgt9rdsTpZqNzULckcHFy3bz/0jSZkMvg+QWAMY1kkQTKkOtiXc6MAkQR50zd90zf9uPWRDL66i5/14nMUxJJoqmpbj8obYd7Tg415lw84VcEMiC5IhjwR7N14+5q+6Zu+6cel7zp+1upHIhmZkmEYhmEYhmFUkUoLykHznr5i6RVxFyFRmHf5gFM9poiqxzQR/Vf+xJioMSDiR1emb/qmb/ox6ruOn7X6UZC6Hs3aiRu2tMxg4bp9+6FvNKF24HrEA9BrB963u/SI6Zu+6Zt+0vVRt/GzXnyOgtQlmuY9Pbik3bu8om80wLzLTd/0Td/0u9YX1J13eVSz1+uQqkRTVZ15T5sFZbyk3bu8Wt+og2vvXfWbPqLqNdi3WqLE9E3f9E3ftb4ibuKnwyQTUpZoiogzb2uzoIyPtHuX2zquLXDtvev7CNpyHFS3wb7ddfBM3/RN3/Rd6iNu4qfLJBNSlmi2Q7fe1mZBGQ9p9y63JLMFrr13Q31F2hps32mw73SxZdM3fdM3/bj0u42fLpNMSNmsc8/z2Lx5c1vb+r7Pli1byOVyDe0lfd+nXC6Ty+WYmZnhuuuua7ssvu9TKpXI5/NN9VttM6z6+/btY//+/cfrf9euXR3rd9K+SdMfCnrx3q1eNLjRvlX6Iu3LVwf7ZgG84yBv+qZv+qYfs3438dNlkgkpSzRVlVyu/SJnMpnjyU7tfuVymXK5fPyzcrnM/PnzOypPs96sKHq6Bll/3759J9R/N3TSvknUTzoi8iHgFUAJeBT4DVU91NbOUXjvNguWtfra2bikVsG+6yBv+qZv+qYfs37H8dMxA/fovJpcLkc+n6dUKlEul4+/Xy6XGyYQnTAo3txx6Hue13P9u25f1/op4FbgPFU9H3gIeE+7Ozr13jVvdNM3fdM3/eY4jp8dFaUvR4mR2mQh6iShNpmKeszeoOpns9lI6t91+7rWTzKq+lVVrWTY3wfWtLlntN671cEy4iBZG+wjC/Kmb/qmb/ox67uOn+0y2HfKkEpCUOlVKxQKkSYJaffmjkM/yjGNrtvXtX5KeDPw2fY2bbAER7eYN7rpm77pm353uPZGb4Ohu1sahvEEIvI1YEWdj65V1ZvDba4FysCNTXSuBq4GWLBggYOSGoZhGGlkKBLNyuPOSi9dZc3MqHql0u7NHYe+53mR1b/r9nWtHyeq+oJmn4vIVcDLgctUVZvoXA9cD7Bq1SoN/oV2471r3uimb/qmb/pt4tobvQ0Gfoxm7Zi6RhM8umUQvLnj0Pc8L5L6d92+rvWTjIhcDvwh8EpVne5gT6feu+aNbvqmb/qm3waO42e7DHSi2WjiRlTJwqB4c8ehn81me65/1+3rWj8FfASYBG4VkbtF5KPt7ujUe9e80U3f9E3f9JvjOH52wsAmmq1mB/eaLAySN3cc+tlstqf6d92+rvXTgKqeqaprVfXC8PVbbe/s2nu3R/1Wszt7Dfamb/qmb/px6buOn50Sa6IpIu8SERWRpVHqtrsETXWy4HntN2ZSvLPTrt9tstZN+yZJf2hw7b1brd/Bgu3tLiHSbbA3fdM3fdOPS7+r+Ok42YxtNoOIrAVeBGyJUrfTdQ4r25RKJYrFYssJML14Z7ezz7DpV9d/9d+N6KV9k6A/DOzcuWPf+//k2npesUuBff0uT49YmfuDlbk/WJn7Q9rK3Ky863oVj/Ou+DcEEw1u7mSnird0o8+6WUw7l8vheV7LBKnbxczbTdaGVb/dZK2X9u2n/rCjqqfUe19ENqnqxn6XpxeszP3BytwfrMz9IW1ldl3eWB6di8irgO2q+pM2tr1aRDaJyKapqamGjyl7dWzJZrNNHxP36pjT6jH0sOu3egzda/v2U98wDMMwjABnPZrNFoIG/ojgsXlLqtfnW716tVbfzCsJgQvv8uqEyYX3t+mfTKOexyi9y/uhbxiGYRhGgLM7Y6OFoEXkKcDpwE9EBAL/5B+LyMWq2tKXsN5jSlfe5YsXLwaiXcDc9Jvjun37pW/U5fq4C9AFVub+YGXuD1bm/pC2MjstrzQx++gLIvJzYKOqthw4u3r1an3nO98JBL1QUXpPl8tl1q17YsxrsVh05v1t+rB58+ambRZ1+/ZT/5prrrkzTeNzDMMwDMMVqUo0RWQvUG82qyvSNnOsHQbtnJJ4PusaTYgxDMMwjGEi9kQzyaRt5lg7DNo5Ddr5DAsi8i7g/wCntPNPZpyIyPuBVwE+sAe4SlV3xFuq5ojIh4BXACXgUeA3VPVQrIVqgYi8Bngf8GTgYlXdFG+J6hNas34YyAIfU9W/jLlILRGRG4CXA3tU9by4y9OKcPnDTwLLAQWuV9UPx1uq5ojIKHAHUCAYlvgFVX1vvKVqDxHJApsIJmm/PGr9gXUGMgwjmbhaQ9chH1LV81X1QuDLwJ/EXJ52uBU4T1XPBx4C3hNzedrhXuAKgpt1IglvyP8AvAQ4B3i9iJwTb6na4hPA5XEXogPKwLtU9RzgEuBtKajnInCpql4AXAhcLiKXxFuktvk94H5X4pZoGobRbypr6KbicYqqHqn6c5wUlFtVv6qqlXW8vk8w6TLRqOr9qvpg3OVowcXAI6r6mKqWgM8Q9HYnGlW9AzgQdznaRVV3quqPw9+PEiRBq+MtVXM04Fj450j4SnysEJE1wMuAj7k6hiWazUnbzLF2GLRzGrTzGWg6WUM3SYjIB0RkK/AG0tGjWc2bgf+KuxADwmpga9Xf20h4ApR2ROQ04KnAD2IuSktEJCsidxMMsblVVRNfZuBvCf7xd+ZDaWuxNCFcw3OgGLRzGrTzGQSiWkO3nzQrs6rerKrXAteKyHuAtwOxj71qVeZwm2sJHkPe2M+yNaKdMhtGBRGZAP4NeEfNk4VEoqoecKGILAS+KCLnqeq9MRerISJSGbd7p4g839VxLNE0DCNSXK2h65JGZa7DjcBXSECi2arMInIVwQSQyzQhsz47qOeksh1YW/X3mvA9I2JEZIQgybxRVW+KuzydoKqHROQ2gnGxiU00gWcDrxSRlwKjwHwR+ZSqvjHKg9ijc8Mw+oKq/lRVl6nqaap6GsFjx6fFnWS2QkTOqvrzVcADcZWlXcKZ0X8IvFJVp+MuzwDxI+AsETldRPLA64AvxVymgUOC/0Q/Dtyvqn8dd3naQUROCXsyEZEx4IUkPFao6ntUdU0Yj18HfCPqJBMs0WyIiFwuIg+KyCMi8u64y9MrIrJWRG4TkZ+JyH0i8ntxlykKwjExd4nIl+MuizGw/KWI3Csi9xA89k/Dd+cjwCRwq4jcLSIfjbtArRCRXxKRbcAzgf8UkVviLlMt4QSrtwO3EExQ+Zyq3hdvqVojIp8GvgecLSLbROQtcZepBc8G3gRcGl6/d4e9bklmJXBbGCd+RDBG0+5L2DqadQmXsHiI4D+SbQQXzetV9WexFqwHRGQlsFJVfywik8CdwKvTfE4AIvL7wEZgvov1vwzDMAzD6B7r0axPKpewaEYal4toRT+WZTAMwzAMo3ss0azPQC9hkablIlrwtzhelsEwDMMwjO6xRHPISNtyEY2oXpYh7rIYhmEYhlEfSzTrM5BLWKR5uYg6VJZl+DnB0IZLReRT8RbJMAzDMIxqbDJQHUQkRzAZ6DKCBPNHwJVpmF3YiHC5iH8GDqjqO2IuTqSEC83+gU0GMgzDMIxkYT2adUjrEhYtSONyEYZhGIZhpBjr0TQMwzAMwzCcYD2ahmEYhtEGIvJnIvKOqr8/MCjmF4bhCuvRNAzDMIw2CJeGu0lVnyYiGeBh4GJV3R9vyQwjueTiLoBhGIZhpAFV/bmI7BeRpwLLgbssyTSM5liiaRiGYRjt8zHgKmAFcEO8RTGM5GOPzg3DMAyjTUQkD/wUGAHOUlUv5iIZRqKxHk3DMAzDaBNVLYnIbcAhSzINozWWaBqGYRhGm4STgC4BXhN3WQwjDdjyRkOIiFwkIveIyKiIjIvIfSJyXtzlMgzDSDIicg7wCPB1VX047vIYRhqwMZpDioj8OTAKjAHbVPWDMRfJMAzDMIwBwxLNISUc0P4jYBZ4lo01MgzDMAwjauzR+fCyBJgAJgl6Ng3DMAzDMCLFejSHFBH5EvAZ4HRgpaq+PeYiGYZhGIYxYNis8yFERH4NmFPVfxWRLPBdEblUVb8Rd9kMwzAMwxgcrEfTMAzDMAzDcIKN0TQMwzAMwzCcYImmYRiGYRiG4QRLNA3DMAzDMAwnWKJpGIZhGIZhOMESTcMwDMMwDMMJlmgahmEYhmEYTrBE0zAMwzAMw3DC/w+Eqb6B8JDiTAAAAABJRU5ErkJggg==\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# offset the source and monitor position by 'angle' along the ring\n",
    "angle = np.pi/6\n",
    "\n",
    "# Simulation size for the ring simulation\n",
    "sim_length = radius + 1.5\n",
    "sim_size = [sim_length, 2*(radius + 1.5), 3]\n",
    "\n",
    "# Note: angle_phi = 0, bend_radius = -r\n",
    "src_angled = td.ModeSource(\n",
    "    center=[radius * np.sin(angle), -radius * np.cos(angle), 0],\n",
    "    size=[0, 3, 2],\n",
    "    source_time=td.GaussianPulse(\n",
    "        freq0=freq0,\n",
    "        fwidth=fwidth),\n",
    "    direction='+',\n",
    "    mode_spec=td.ModeSpec(\n",
    "        angle_theta=angle,\n",
    "        angle_phi=0,\n",
    "        bend_radius=-radius,\n",
    "        bend_axis=1,\n",
    "    )\n",
    ")\n",
    "\n",
    "# Note: angle_phi = np.pi, bend_radius = r\n",
    "mnt_angled = td.ModeMonitor(\n",
    "    center=[radius * np.sin(angle), radius * np.cos(angle), 0],\n",
    "    size=[0, 3, 2],\n",
    "    freqs=[freq0],\n",
    "    mode_spec=td.ModeSpec(\n",
    "        num_modes=2,\n",
    "        angle_theta=angle,\n",
    "        angle_phi=np.pi,\n",
    "        bend_radius=radius,\n",
    "        bend_axis=1,\n",
    "    ),\n",
    "    name=\"modes\"\n",
    ")\n",
    "\n",
    "# Simulation\n",
    "sim = td.Simulation(\n",
    "    center=[sim_length/2 - 0.2, 0, 0],\n",
    "    size=sim_size,\n",
    "    grid_spec=grid_spec,\n",
    "    structures=[substrate, cyl2, cyl1], \n",
    "    sources=[src_angled], \n",
    "    monitors=[field_mnt, mnt_angled],\n",
    "    run_time=run_time,\n",
    "    boundary_spec=td.BoundarySpec(\n",
    "        x=td.Boundary.absorber(),\n",
    "        y=td.Boundary.pml(),\n",
    "        z=td.Boundary.pml()\n",
    "    ),\n",
    "    subpixel=True)\n",
    "            \n",
    "fig = plt.figure(figsize=(11, 4))\n",
    "gs = mpl.gridspec.GridSpec(1, 2, figure=fig, width_ratios=[1, 2])\n",
    "ax1 = fig.add_subplot(gs[0, 0])\n",
    "ax2 = fig.add_subplot(gs[0, 1])\n",
    "sim.plot(z=0, ax=ax1);\n",
    "sim.plot(x=0, ax=ax2);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-21T20:57:33.955828Z",
     "iopub.status.busy": "2022-07-21T20:57:33.955692Z",
     "iopub.status.idle": "2022-07-21T20:58:25.542314Z",
     "shell.execute_reply": "2022-07-21T20:58:25.541798Z"
    }
   },
   "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\">[16:57:34] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO    </span> Uploaded task <span style=\"color: #008000; text-decoration-color: #008000\">'angled_ring'</span> with task_id                    <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#120\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">120</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>         <span style=\"color: #008000; text-decoration-color: #008000\">'e47d98a7-08f8-4ad0-a502-b5617fdaeaf8'</span>.                     <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:57:34]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Uploaded task \u001b[32m'angled_ring'\u001b[0m with task_id                    \u001b]8;id=721839;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=143461;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#120\u001b\\\u001b[2m120\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m         \u001b[32m'e47d98a7-08f8-4ad0-a502-b5617fdaeaf8'\u001b[0m.                     \u001b[2m             \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e7fc8c1642064f6db4cc0ec5ac1d3520",
       "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\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\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\">[16:57:37] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO    </span> status = queued                                             <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#253\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">253</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:57:37]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m status = queued                                             \u001b]8;id=452155;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=378563;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#253\u001b\\\u001b[2m253\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "cd2738e729a64a80a5fcc8c9dc035e35",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[16:57:42] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO    </span> Maximum flex unit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.20</span>                                <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#244\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">244</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:57:42]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m Maximum flex unit cost: \u001b[1;36m0.20\u001b[0m                                \u001b]8;id=38830;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=493739;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#244\u001b\\\u001b[2m244\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\">[16:57:44] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO    </span> status = preprocess                                         <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#265\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">265</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:57:44]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m status = preprocess                                         \u001b]8;id=306148;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=919902;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#265\u001b\\\u001b[2m265\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\"></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\">[16:57:53] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO    </span> starting up solver                                          <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#269\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">269</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:57:53]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m starting up solver                                          \u001b]8;id=898274;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=715023;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#269\u001b\\\u001b[2m269\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\">[16:58:03] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO    </span> running solver                                              <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#275\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">275</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:58:03]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m running solver                                              \u001b]8;id=484143;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=805144;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#275\u001b\\\u001b[2m275\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8bca6b1a2ba0440394cebf6c0d5d01e6",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[16:58:11] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO    </span> early shutoff detected, exiting.                            <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#286\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">286</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:58:11]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m early shutoff detected, exiting.                            \u001b]8;id=685571;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=476111;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#286\u001b\\\u001b[2m286\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\"></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\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\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: #000080; text-decoration-color: #000080\">INFO    </span> status = postprocess                                        <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#292\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">292</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m status = postprocess                                        \u001b]8;id=772568;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=432016;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#292\u001b\\\u001b[2m292\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6bc28506eaea45328f4af18375c4e25c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[16:58:16] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO    </span> status = success                                            <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#298\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">298</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:58:16]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m status = success                                            \u001b]8;id=290137;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=693703;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#298\u001b\\\u001b[2m298\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\"></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\">[16:58:17] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO    </span> downloading file <span style=\"color: #008000; text-decoration-color: #008000\">\"output/monitor_data.hdf5\"</span> to              <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#574\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">574</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>         <span style=\"color: #008000; text-decoration-color: #008000\">\"data/sim_data.hdf5\"</span>                                        <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:58:17]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m downloading file \u001b[32m\"output/monitor_data.hdf5\"\u001b[0m to              \u001b]8;id=21757;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=856632;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#574\u001b\\\u001b[2m574\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m         \u001b[32m\"data/sim_data.hdf5\"\u001b[0m                                        \u001b[2m             \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "de8629ef4d73433e8e9dc04e54edd187",
       "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\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\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\">[16:58:25] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO    </span> loading SimulationData from data/sim_data.hdf5              <a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#398\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">398</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[16:58:25]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO    \u001b[0m loading SimulationData from data/sim_data.hdf5              \u001b]8;id=718049;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=375206;file:///home/shashwat/flexcompute/repositories/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#398\u001b\\\u001b[2m398\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_data = web.run(sim, task_name=\"angled_ring\", path='data/sim_data.hdf5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-07-21T20:58:25.861880Z",
     "iopub.status.busy": "2022-07-21T20:58:25.861773Z",
     "iopub.status.idle": "2022-07-21T20:58:26.544329Z",
     "shell.execute_reply": "2022-07-21T20:58:26.543937Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Flux in first two modes:  [0.99518293 0.00864362]\n"
     ]
    },
    {
     "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=\"font-weight: bold\">&lt;</span><span style=\"color: #ff00ff; text-decoration-color: #ff00ff; font-weight: bold\">Figure</span><span style=\"color: #000000; text-decoration-color: #000000\"> size 108</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0x360</span><span style=\"color: #000000; text-decoration-color: #000000\"> with </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span><span style=\"color: #000000; text-decoration-color: #000000\"> Axes</span><span style=\"font-weight: bold\">&gt;</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m<\u001b[0m\u001b[1;95mFigure\u001b[0m\u001b[39m size 108\u001b[0m\u001b[1;36m0x360\u001b[0m\u001b[39m with \u001b[0m\u001b[1;36m4\u001b[0m\u001b[39m Axes\u001b[0m\u001b[1m>\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mode_flux = abs(sim_data[\"modes\"].amps.sel(direction=\"-\"))**2\n",
    "print(\"Flux in first two modes: \", np.array(mode_flux).ravel()) \n",
    "\n",
    "f, (ax1, ax2) = plt.subplots(1, 2, tight_layout=True, figsize=(15, 5))\n",
    "ax1 = sim_data.plot_field('field', 'Ex', z=0.05, freq=freq0, val='real', ax=ax1)\n",
    "ax2 = sim_data.plot_field('field', 'int', z=0.05, freq=freq0, ax=ax2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {
     "0b423c5827204430969e5f7752de31bc": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "11ca82268fdc406ab72ca6c823e94a9f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "16d6c80f5434433ba7692d2dfcb135b6": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/output",
       "_model_module_version": "1.0.0",
       "_model_name": "OutputModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/output",
       "_view_module_version": "1.0.0",
       "_view_name": "OutputView",
       "layout": "IPY_MODEL_49d3d6f50a744f1582ddc98d22a44ba7",
       "msg_id": "",
       "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: #800000; text-decoration-color: #800000; font-weight: bold\">↑</span> <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">simulation.json</span> <span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span> <span style=\"color: #800080; text-decoration-color: #800080\">0.0%</span> • <span style=\"color: #008000; text-decoration-color: #008000\">0.0/8.9 kB</span> • <span style=\"color: #800000; text-decoration-color: #800000\">?</span> • <span style=\"color: #008080; text-decoration-color: #008080\">-:--:--</span>\n</pre>\n",
          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.json\u001b[0m \u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m0.0%\u001b[0m • \u001b[32m0.0/8.9 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m-:--:--\u001b[0m\n"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ]
      }
     },
     "1a5514da80bb4487ad2c50e652c8ac11": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "291e6c78b75e4a79b1d7d8d56829032f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "3e2bbb4ccebd401883a3b4acb076feb0": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/output",
       "_model_module_version": "1.0.0",
       "_model_name": "OutputModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/output",
       "_view_module_version": "1.0.0",
       "_view_name": "OutputView",
       "layout": "IPY_MODEL_9688d469f45e4fc1a400e68e1f6d37c8",
       "msg_id": "",
       "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: #008000; text-decoration-color: #008000\">🏃 </span> <span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">Starting 'ring_mode'...</span>\n</pre>\n",
          "text/plain": "\u001b[32m🏃 \u001b[0m \u001b[1;32mStarting 'ring_mode'...\u001b[0m\n"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ]
      }
     },
     "49d3d6f50a744f1582ddc98d22a44ba7": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "6bc28506eaea45328f4af18375c4e25c": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/output",
       "_model_module_version": "1.0.0",
       "_model_name": "OutputModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/output",
       "_view_module_version": "1.0.0",
       "_view_name": "OutputView",
       "layout": "IPY_MODEL_7ae85da1bb2c4109a16570e263d2b744",
       "msg_id": "",
       "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: #008000; text-decoration-color: #008000\">🚶 </span> <span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">Finishing 'angled_ring'...</span>\n</pre>\n",
          "text/plain": "\u001b[32m🚶 \u001b[0m \u001b[1;32mFinishing 'angled_ring'...\u001b[0m\n"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ]
      }
     },
     "6d3a9e86318e4140b8c10d5377a9565f": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/output",
       "_model_module_version": "1.0.0",
       "_model_name": "OutputModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/output",
       "_view_module_version": "1.0.0",
       "_view_name": "OutputView",
       "layout": "IPY_MODEL_0b423c5827204430969e5f7752de31bc",
       "msg_id": "",
       "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: #008000; text-decoration-color: #008000; font-weight: bold\">↓</span> <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">monitor_data.hdf5</span> <span style=\"color: #729c1f; text-decoration-color: #729c1f\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span> <span style=\"color: #800080; text-decoration-color: #800080\">100.0%</span> • <span style=\"color: #008000; text-decoration-color: #008000\">9.3/9.3 MB</span> • <span style=\"color: #800000; text-decoration-color: #800000\">3.7 MB/s</span> • <span style=\"color: #008080; text-decoration-color: #008080\">0:00:00</span>\n</pre>\n",
          "text/plain": "\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m100.0%\u001b[0m • \u001b[32m9.3/9.3 MB\u001b[0m • \u001b[31m3.7 MB/s\u001b[0m • \u001b[36m0:00:00\u001b[0m\n"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ]
      }
     },
     "73a69a38ac1247b08f12b08772a3704e": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "7ae85da1bb2c4109a16570e263d2b744": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "8bca6b1a2ba0440394cebf6c0d5d01e6": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/output",
       "_model_module_version": "1.0.0",
       "_model_name": "OutputModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/output",
       "_view_module_version": "1.0.0",
       "_view_name": "OutputView",
       "layout": "IPY_MODEL_1a5514da80bb4487ad2c50e652c8ac11",
       "msg_id": "",
       "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\">% done (field decay = 2.07e-06) <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span> <span style=\"color: #800080; text-decoration-color: #800080\"> 28%</span> <span style=\"color: #008080; text-decoration-color: #008080\">0:00:25</span>\n</pre>\n",
          "text/plain": "% done (field decay = 2.07e-06) \u001b[38;2;249;38;114m━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m 28%\u001b[0m \u001b[36m0:00:25\u001b[0m\n"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ]
      }
     },
     "92b26d7744ad4968925490adce0cd57d": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/output",
       "_model_module_version": "1.0.0",
       "_model_name": "OutputModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/output",
       "_view_module_version": "1.0.0",
       "_view_name": "OutputView",
       "layout": "IPY_MODEL_bf71b2ca13e04a12aee938cbdc13800a",
       "msg_id": "",
       "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: #800000; text-decoration-color: #800000; font-weight: bold\">↑</span> <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">simulation.json</span> <span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span> <span style=\"color: #800080; text-decoration-color: #800080\">0.0%</span> • <span style=\"color: #008000; text-decoration-color: #008000\">0.0/9.2 kB</span> • <span style=\"color: #800000; text-decoration-color: #800000\">?</span> • <span style=\"color: #008080; text-decoration-color: #008080\">-:--:--</span>\n</pre>\n",
          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.json\u001b[0m \u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m0.0%\u001b[0m • \u001b[32m0.0/9.2 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m-:--:--\u001b[0m\n"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ]
      }
     },
     "9688d469f45e4fc1a400e68e1f6d37c8": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "a68aaeb5dc9047daa55b8cc3c3dd0c93": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/output",
       "_model_module_version": "1.0.0",
       "_model_name": "OutputModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/output",
       "_view_module_version": "1.0.0",
       "_view_name": "OutputView",
       "layout": "IPY_MODEL_c46a1ca49adb45b08f958649779098bf",
       "msg_id": "",
       "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: #008000; text-decoration-color: #008000\">🚶 </span> <span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">Finishing 'angled_waveguide'...</span>\n</pre>\n",
          "text/plain": "\u001b[32m🚶 \u001b[0m \u001b[1;32mFinishing 'angled_waveguide'...\u001b[0m\n"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ]
      }
     },
     "bf71b2ca13e04a12aee938cbdc13800a": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "c18384e819e34b14ace0f0150115c878": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "c46a1ca49adb45b08f958649779098bf": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "cd2738e729a64a80a5fcc8c9dc035e35": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/output",
       "_model_module_version": "1.0.0",
       "_model_name": "OutputModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/output",
       "_view_module_version": "1.0.0",
       "_view_name": "OutputView",
       "layout": "IPY_MODEL_e3cd0c15c126424fb89fa8a33b0e608e",
       "msg_id": "",
       "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: #008000; text-decoration-color: #008000\">🏃 </span> <span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">Starting 'angled_ring'...</span>\n</pre>\n",
          "text/plain": "\u001b[32m🏃 \u001b[0m \u001b[1;32mStarting 'angled_ring'...\u001b[0m\n"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ]
      }
     },
     "d2612b9397ec4da9a427a588b1acf680": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/output",
       "_model_module_version": "1.0.0",
       "_model_name": "OutputModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/output",
       "_view_module_version": "1.0.0",
       "_view_name": "OutputView",
       "layout": "IPY_MODEL_291e6c78b75e4a79b1d7d8d56829032f",
       "msg_id": "",
       "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: #008000; text-decoration-color: #008000\">🚶 </span> <span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">Finishing 'ring_mode'...</span>\n</pre>\n",
          "text/plain": "\u001b[32m🚶 \u001b[0m \u001b[1;32mFinishing 'ring_mode'...\u001b[0m\n"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ]
      }
     },
     "d585e0f3f2464e0d9717b3cc08094e0a": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/output",
       "_model_module_version": "1.0.0",
       "_model_name": "OutputModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/output",
       "_view_module_version": "1.0.0",
       "_view_name": "OutputView",
       "layout": "IPY_MODEL_e0d7a99794fc4dc3834fd22b724ac810",
       "msg_id": "",
       "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: #008000; text-decoration-color: #008000; font-weight: bold\">↓</span> <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">monitor_data.hdf5</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">━</span> <span style=\"color: #800080; text-decoration-color: #800080\">96.2%</span> • <span style=\"color: #008000; text-decoration-color: #008000\">7.6/7.9 MB</span> • <span style=\"color: #800000; text-decoration-color: #800000\">3.7 MB/s</span> • <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span>\n</pre>\n",
          "text/plain": "\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m\u001b[38;5;237m━\u001b[0m \u001b[35m96.2%\u001b[0m • \u001b[32m7.6/7.9 MB\u001b[0m • \u001b[31m3.7 MB/s\u001b[0m • \u001b[36m0:00:01\u001b[0m\n"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ]
      }
     },
     "de8629ef4d73433e8e9dc04e54edd187": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/output",
       "_model_module_version": "1.0.0",
       "_model_name": "OutputModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/output",
       "_view_module_version": "1.0.0",
       "_view_name": "OutputView",
       "layout": "IPY_MODEL_11ca82268fdc406ab72ca6c823e94a9f",
       "msg_id": "",
       "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: #008000; text-decoration-color: #008000; font-weight: bold\">↓</span> <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">monitor_data.hdf5</span> <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">╺</span> <span style=\"color: #800080; text-decoration-color: #800080\">97.2%</span> • <span style=\"color: #008000; text-decoration-color: #008000\">9.0/9.2 MB</span> • <span style=\"color: #800000; text-decoration-color: #800000\">1.4 MB/s</span> • <span style=\"color: #008080; text-decoration-color: #008080\">0:00:01</span>\n</pre>\n",
          "text/plain": "\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m \u001b[35m97.2%\u001b[0m • \u001b[32m9.0/9.2 MB\u001b[0m • \u001b[31m1.4 MB/s\u001b[0m • \u001b[36m0:00:01\u001b[0m\n"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ]
      }
     },
     "e0d7a99794fc4dc3834fd22b724ac810": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "e3cd0c15c126424fb89fa8a33b0e608e": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "e7fc8c1642064f6db4cc0ec5ac1d3520": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/output",
       "_model_module_version": "1.0.0",
       "_model_name": "OutputModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/output",
       "_view_module_version": "1.0.0",
       "_view_name": "OutputView",
       "layout": "IPY_MODEL_c18384e819e34b14ace0f0150115c878",
       "msg_id": "",
       "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: #800000; text-decoration-color: #800000; font-weight: bold\">↑</span> <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">simulation.json</span> <span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span> <span style=\"color: #800080; text-decoration-color: #800080\">0.0%</span> • <span style=\"color: #008000; text-decoration-color: #008000\">0.0/9.0 kB</span> • <span style=\"color: #800000; text-decoration-color: #800000\">?</span> • <span style=\"color: #008080; text-decoration-color: #008080\">-:--:--</span>\n</pre>\n",
          "text/plain": "\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.json\u001b[0m \u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m0.0%\u001b[0m • \u001b[32m0.0/9.0 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m-:--:--\u001b[0m\n"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ]
      }
     },
     "f543abf14c54487d807777b3425edc39": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "f7aff19a93074953ab67fe3790e0ecd6": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/output",
       "_model_module_version": "1.0.0",
       "_model_name": "OutputModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/output",
       "_view_module_version": "1.0.0",
       "_view_name": "OutputView",
       "layout": "IPY_MODEL_f8a6fe7736214d32991c5528177ba390",
       "msg_id": "",
       "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\">% done (field decay = 3.14e-06) <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━━━━</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span> <span style=\"color: #800080; text-decoration-color: #800080\"> 28%</span> <span style=\"color: #008080; text-decoration-color: #008080\">-:--:--</span>\n</pre>\n",
          "text/plain": "% done (field decay = 3.14e-06) \u001b[38;2;249;38;114m━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m 28%\u001b[0m \u001b[36m-:--:--\u001b[0m\n"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ]
      }
     },
     "f8a6fe7736214d32991c5528177ba390": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {
       "_model_module": "@jupyter-widgets/base",
       "_model_module_version": "1.2.0",
       "_model_name": "LayoutModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/base",
       "_view_module_version": "1.2.0",
       "_view_name": "LayoutView",
       "align_content": null,
       "align_items": null,
       "align_self": null,
       "border": null,
       "bottom": null,
       "display": null,
       "flex": null,
       "flex_flow": null,
       "grid_area": null,
       "grid_auto_columns": null,
       "grid_auto_flow": null,
       "grid_auto_rows": null,
       "grid_column": null,
       "grid_gap": null,
       "grid_row": null,
       "grid_template_areas": null,
       "grid_template_columns": null,
       "grid_template_rows": null,
       "height": null,
       "justify_content": null,
       "justify_items": null,
       "left": null,
       "margin": null,
       "max_height": null,
       "max_width": null,
       "min_height": null,
       "min_width": null,
       "object_fit": null,
       "object_position": null,
       "order": null,
       "overflow": null,
       "overflow_x": null,
       "overflow_y": null,
       "padding": null,
       "right": null,
       "top": null,
       "visibility": null,
       "width": null
      }
     },
     "fbb7761f101f4a66a64d51f0028f8419": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/output",
       "_model_module_version": "1.0.0",
       "_model_name": "OutputModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/output",
       "_view_module_version": "1.0.0",
       "_view_name": "OutputView",
       "layout": "IPY_MODEL_73a69a38ac1247b08f12b08772a3704e",
       "msg_id": "",
       "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\">% done (field decay = 7.94e-08) <span style=\"color: #f92672; text-decoration-color: #f92672\">━━━━━━━━</span><span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span> <span style=\"color: #800080; text-decoration-color: #800080\"> 20%</span> <span style=\"color: #008080; text-decoration-color: #008080\">-:--:--</span>\n</pre>\n",
          "text/plain": "% done (field decay = 7.94e-08) \u001b[38;2;249;38;114m━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m 20%\u001b[0m \u001b[36m-:--:--\u001b[0m\n"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ]
      }
     },
     "fc6e78b91e5c40a6b6aee10ffd8bf307": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "_dom_classes": [],
       "_model_module": "@jupyter-widgets/output",
       "_model_module_version": "1.0.0",
       "_model_name": "OutputModel",
       "_view_count": null,
       "_view_module": "@jupyter-widgets/output",
       "_view_module_version": "1.0.0",
       "_view_name": "OutputView",
       "layout": "IPY_MODEL_f543abf14c54487d807777b3425edc39",
       "msg_id": "",
       "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: #008000; text-decoration-color: #008000\">🚶 </span> <span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">Starting 'angled_waveguide'...</span>\n</pre>\n",
          "text/plain": "\u001b[32m🚶 \u001b[0m \u001b[1;32mStarting 'angled_waveguide'...\u001b[0m\n"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ]
      }
     }
    },
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}