CustomFieldSource.ipynb

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   "source": [
    "# Defining spatially-varying sources\n",
    "\n",
    "In this example we illustrate how to incorporate a source with a custom spatial dependence in a Tidy3D simulation. We will illustrate this both using data taken from a monitor from another Tidy3D simulation and using a simple array defined from scratch. This notebook will cover both custom \"field\" sources and custom \"current\" sources.\n",
    "\n",
    "The custom field source can be used to inject a specific (E, H) field distribution on a plane, e.g. coming from another simulation. Internally, we use the equivalence principle to compute the actual source currents (all sources in FDTD have to be converted to current sources). Because of this, the custom field source will only produce reliable results if the provided fields decay by the edges of the source plane, or if they extend through the simulation boundaries, and are well-matched to those boundaries.\n",
    "\n",
    "The custom current source is simpler, and can be used to simply provide a specific electric current and magnetic current distribution within a volume. The component labels `Ex, Ey, Ez, Hx, Hy, Hz` in the dataset are directly assigned as electric/magnetic current amplitudes `Jx, Jy, Jz, Mx, My, Mz`.\n",
    "\n",
    "If you are new to the finite-difference time-domain (FDTD) method, we highly recommend going through our [FDTD101](https://www.flexcompute.com/fdtd101/) tutorials. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "590771ce",
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   "source": [
    "# standard python imports\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# tidy3D import\n",
    "import tidy3d as td\n",
    "from tidy3d import web\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f985512",
   "metadata": {},
   "source": [
    "### Starting simulation with an in-built source\n",
    "\n",
    "We will first run a simulation with a [GaussianBeam](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.GaussianBeam.html) source propagating in empty space. The definition of the source below is for a converging Gaussian beam (negative `waist_distance` parameter)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "cdd2a272",
   "metadata": {
    "execution": {
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     "shell.execute_reply": "2023-08-18T17:29:40.484304Z"
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   "outputs": [],
   "source": [
    "# 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 and run time\n",
    "sim_size = [10, 10, 10]\n",
    "run_time = 20 / fwidth\n",
    "\n",
    "# Grid specification\n",
    "grid_spec = td.GridSpec.auto(wavelength=lambda0)\n",
    "\n",
    "# In-built GaussianBeam source\n",
    "pulse = td.GaussianPulse(freq0=freq0, fwidth=fwidth)\n",
    "waist_radius = 2\n",
    "src_pos = -4\n",
    "gaussian_source = td.GaussianBeam(\n",
    "    source_time=pulse,\n",
    "    center=(src_pos, 0, 0),\n",
    "    size=(0, 10, 10),\n",
    "    waist_radius=waist_radius,\n",
    "    waist_distance=-8,\n",
    "    direction=\"+\",\n",
    ")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "635a5b42",
   "metadata": {},
   "source": [
    "We will use monitors to record the fields at the beam waist along the propagation direction, and inject those in another simulation using a [CustomFieldSource](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.CustomFieldSource.html). The best way to achieve this is to take into account the numerical grid used in the FDTD algorithm. Specifically, we need to record the raw fields at their Yee grid locations in order to achieve the highest accuracy in injecting the recorded data. For this purpose, we need to set `colocate=False` in the monitor definition. Furthermore, it is best to set a slightly nonzero size in the propagation direction. A monitor with a zero size will interpolate the fields to the exact monitor location along the zero-size dimension, which loses a bit of information. On the other hand, a monitor with a small but nonzero size along the propagation direction will store the fields exactly as they are in the simulation. We will illustrate the difference in the results below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d21c681b",
   "metadata": {
    "execution": {
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     "shell.execute_reply": "2023-08-18T17:29:40.653096Z"
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   "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\">[10:29:40] </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Default value for the field monitor          </span> <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/components/monitor.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">monitor.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/components/monitor.py#261\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">261</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'colocate'</span><span style=\"color: #800000; text-decoration-color: #800000\"> setting has changed to </span><span style=\"color: #008000; text-decoration-color: #008000\">'True'</span><span style=\"color: #800000; text-decoration-color: #800000\"> in Tidy3D    </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">              </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.4</span><span style=\"color: #800000; text-decoration-color: #800000\">.</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span><span style=\"color: #800000; text-decoration-color: #800000\">. All field components will be colocated to the  </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">              </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #800000; text-decoration-color: #800000\">grid boundaries. Set to </span><span style=\"color: #008000; text-decoration-color: #008000\">'False'</span><span style=\"color: #800000; text-decoration-color: #800000\"> to get the raw fields </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">              </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #800000; text-decoration-color: #800000\">on the Yee grid instead.                              </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">              </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[10:29:40]\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Default value for the field monitor          \u001b[0m \u001b]8;id=469636;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/components/monitor.py\u001b\\\u001b[2mmonitor.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=919424;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/components/monitor.py#261\u001b\\\u001b[2m261\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b[32m'colocate'\u001b[0m\u001b[31m setting has changed to \u001b[0m\u001b[32m'True'\u001b[0m\u001b[31m in Tidy3D    \u001b[0m \u001b[2m              \u001b[0m\n",
       "\u001b[2;36m           \u001b[0m\u001b[1;36m2.4\u001b[0m\u001b[31m.\u001b[0m\u001b[1;36m0\u001b[0m\u001b[31m. All field components will be colocated to the  \u001b[0m \u001b[2m              \u001b[0m\n",
       "\u001b[2;36m           \u001b[0m\u001b[31mgrid boundaries. Set to \u001b[0m\u001b[32m'False'\u001b[0m\u001b[31m to get the raw fields \u001b[0m \u001b[2m              \u001b[0m\n",
       "\u001b[2;36m           \u001b[0m\u001b[31mon the Yee grid instead.                              \u001b[0m \u001b[2m              \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Monitor for propagation\n",
    "mnt_xy = td.FieldMonitor(\n",
    "    center=(0, 0, 0), size=(10, 10, 0), freqs=[freq0], name=\"field_xy\"\n",
    ")\n",
    "\n",
    "# Monitors for forward and backward flux\n",
    "mnt_flux_pos = src_pos - 0.5\n",
    "mnt_flux_f = td.FluxMonitor(\n",
    "    center=(-mnt_flux_pos, 0, 0), size=(0, td.inf, td.inf), freqs=[freq0], name=\"flux_f\"\n",
    ")\n",
    "mnt_flux_b = td.FluxMonitor(\n",
    "    center=(mnt_flux_pos, 0, 0), size=(0, td.inf, td.inf), freqs=[freq0], name=\"flux_b\"\n",
    ")\n",
    "\n",
    "# Monitor to be used as custom source, 0D along x\n",
    "mnt_yz_1 = td.FieldMonitor(\n",
    "    center=(-src_pos, 0, 0), size=(0, 8, 8), freqs=[freq0], colocate=False, name=\"yz_zero_size_x\"\n",
    ")\n",
    "\n",
    "# Monitor to be used as custom source, small nonzero along x\n",
    "mnt_yz_2 = td.FieldMonitor(\n",
    "    center=(-src_pos, 0, 0), size=(1e-5, 8, 8), freqs=[freq0], colocate=False, name=\"yz_nonzero_size_x\"\n",
    ")\n"
   ]
  },
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    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim = td.Simulation(\n",
    "    size=sim_size,\n",
    "    grid_spec=grid_spec,\n",
    "    sources=[gaussian_source],\n",
    "    monitors=[mnt_xy, mnt_flux_f, mnt_flux_b, mnt_yz_1, mnt_yz_2],\n",
    "    run_time=run_time,\n",
    "    boundary_spec=td.BoundarySpec.all_sides(boundary=td.PML()),\n",
    ")\n",
    "sim.plot(z=0)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ffcf9d6d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T17:29:40.918481Z",
     "iopub.status.busy": "2023-08-18T17:29:40.918335Z",
     "iopub.status.idle": "2023-08-18T17:32:16.309828Z",
     "shell.execute_reply": "2023-08-18T17:32:16.309224Z"
    }
   },
   "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\">[10:31:50] </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'free space gaussian'</span> with task_id         <a href=\"file:///home/momchil/Drive/flexcompute/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/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#188\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">188</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-c96bb6c3-fc96-4bcd-91f2-47134caabfbdv1'</span>.          <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[10:31:50]\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'free space gaussian'\u001b[0m with task_id         \u001b]8;id=539413;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=117499;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#188\u001b\\\u001b[2m188\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b[32m'fdve-c96bb6c3-fc96-4bcd-91f2-47134caabfbdv1'\u001b[0m.          \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>View task using web UI at                               <a href=\"file:///home/momchil/Drive/flexcompute/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/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#190\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">190</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-c96bb6c3-fc96-4bcd-91f2-47134caabfbdv1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-</span></a> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-c96bb6c3-fc96-4bcd-91f2-47134caabfbdv1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">c96bb6c3-fc96-4bcd-91f2-47134caabfbdv1'</span></a>.                <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                               \u001b]8;id=178186;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=444890;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#190\u001b\\\u001b[2m190\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=133345;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c96bb6c3-fc96-4bcd-91f2-47134caabfbdv1\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=704876;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c96bb6c3-fc96-4bcd-91f2-47134caabfbdv1\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=133345;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c96bb6c3-fc96-4bcd-91f2-47134caabfbdv1\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=460283;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c96bb6c3-fc96-4bcd-91f2-47134caabfbdv1\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=133345;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c96bb6c3-fc96-4bcd-91f2-47134caabfbdv1\u001b\\\u001b[32m-\u001b[0m\u001b]8;;\u001b\\ \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=133345;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c96bb6c3-fc96-4bcd-91f2-47134caabfbdv1\u001b\\\u001b[32mc96bb6c3-fc96-4bcd-91f2-47134caabfbdv1'\u001b[0m\u001b]8;;\u001b\\.                \u001b[2m             \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "Output()"
      ]
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     "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": {},
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    },
    {
     "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\">[10:31:51] </span>status = queued                                         <a href=\"file:///home/momchil/Drive/flexcompute/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/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#361\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">361</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[10:31:51]\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                         \u001b]8;id=479962;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=449189;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#361\u001b\\\u001b[2m361\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
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    },
    {
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       "Output()"
      ]
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     "metadata": {},
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    },
    {
     "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\">[10:32:00] </span>status = preprocess                                     <a href=\"file:///home/momchil/Drive/flexcompute/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/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#355\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">355</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[10:32:00]\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                     \u001b]8;id=653346;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=231349;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#355\u001b\\\u001b[2m355\u001b[0m\u001b]8;;\u001b\\\n"
      ]
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    },
    {
     "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"
      ],
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      "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\">[10:32:04] </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use                     <a href=\"file:///home/momchil/Drive/flexcompute/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/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#341\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">341</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed FlexCredit   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>cost after a simulation run.                            <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[10:32:04]\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Use                     \u001b]8;id=829336;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=483315;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#341\u001b\\\u001b[2m341\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit   \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0mcost after a simulation run.                            \u001b[2m             \u001b[0m\n"
      ]
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      "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>starting up solver                                      <a href=\"file:///home/momchil/Drive/flexcompute/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/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#377\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">377</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                      \u001b]8;id=585709;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=627214;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#377\u001b\\\u001b[2m377\u001b[0m\u001b]8;;\u001b\\\n"
      ]
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    {
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      "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>running solver                                          <a href=\"file:///home/momchil/Drive/flexcompute/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/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#386\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">386</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                          \u001b]8;id=432304;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=279529;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#386\u001b\\\u001b[2m386\u001b[0m\u001b]8;;\u001b\\\n"
      ]
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    {
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      "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>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or   <a href=\"file:///home/momchil/Drive/flexcompute/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/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#387\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">387</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>web UI. Terminating the Python script will not stop the <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>job running on the cloud.                               <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or   \u001b]8;id=817001;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=56426;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#387\u001b\\\u001b[2m387\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the   \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0mweb UI. Terminating the Python script will not stop the \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0mjob running on the cloud.                               \u001b[2m             \u001b[0m\n"
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       "Output()"
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    {
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      "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\">[10:32:10] </span>early shutoff detected, exiting.                        <a href=\"file:///home/momchil/Drive/flexcompute/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/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#404\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">404</span></a>\n",
       "</pre>\n"
      ],
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       "\u001b[2;36m[10:32:10]\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected, exiting.                        \u001b]8;id=148657;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=308438;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#404\u001b\\\u001b[2m404\u001b[0m\u001b]8;;\u001b\\\n"
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       "<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>status = postprocess                                    <a href=\"file:///home/momchil/Drive/flexcompute/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/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#419\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">419</span></a>\n",
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       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                    \u001b]8;id=250928;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=831381;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#419\u001b\\\u001b[2m419\u001b[0m\u001b]8;;\u001b\\\n"
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     "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\">[10:32:16] </span>loading SimulationData from simulation_data.hdf5        <a href=\"file:///home/momchil/Drive/flexcompute/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/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#590\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">590</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[10:32:16]\u001b[0m\u001b[2;36m \u001b[0mloading SimulationData from simulation_data.hdf5        \u001b]8;id=936590;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=796581;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#590\u001b\\\u001b[2m590\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_data = web.run(sim, task_name=\"free space gaussian\", verbose=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "061b02ad",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T17:32:16.814530Z",
     "iopub.status.busy": "2023-08-18T17:32:16.814380Z",
     "iopub.status.idle": "2023-08-18T17:32:17.085441Z",
     "shell.execute_reply": "2023-08-18T17:32:17.084949Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1)\n",
    "sim_data.plot_field(\"field_xy\", field_name=\"Ey\", val=\"abs\", ax=ax)\n",
    "ax.set_xlim([-sim.size[0] / 2, sim.size[0] / 2])\n",
    "ax.set_ylim([-sim.size[1] / 2, sim.size[1] / 2])\n",
    "ax.set_title(\n",
    "    f\"Flux fwd={float(sim_data['flux_f'].flux):1.2e}, bck={float(sim_data['flux_b'].flux):1.2e}\"\n",
    ")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "32705449",
   "metadata": {},
   "source": [
    "### Custom source from simulation data\n",
    "\n",
    "Now we can use the recorded data as an input to a [CustomFieldSource](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.CustomFieldSource.html) in another simulation. We will run two simulations to illustrate the difference between zero and nonzero size of the monitor along `x`. Note that we can create the source directly using the [FieldData](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldData.html) method `to_source`. Note that we can center the source anywhere we want. The size of the source is by default taken from the [FieldData](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldData.html) used to create it. However, the source size needs to be `0` along one of the directions, so in the case of the `nonzero_size_x` data, we have to manually reset it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "3ff5d0d7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T17:32:17.088841Z",
     "iopub.status.busy": "2023-08-18T17:32:17.088698Z",
     "iopub.status.idle": "2023-08-18T17:32:17.160816Z",
     "shell.execute_reply": "2023-08-18T17:32:17.160291Z"
    }
   },
   "outputs": [],
   "source": [
    "custom_src_1 = sim_data[\"yz_zero_size_x\"].to_source(source_time=pulse, center=(0, 1, 0))\n",
    "custom_src_2 = sim_data[\"yz_nonzero_size_x\"].to_source(\n",
    "    source_time=pulse,\n",
    "    center=(0, 1, 0),\n",
    "    # size is by default taken from the data, but it must be reset to zero along x\n",
    "    size=(0, 8, 8),  \n",
    ")\n",
    "sim_1 = td.Simulation(\n",
    "    size=sim_size,\n",
    "    grid_spec=grid_spec,\n",
    "    sources=[custom_src_1],\n",
    "    monitors=[mnt_xy, mnt_flux_f, mnt_flux_b],\n",
    "    run_time=run_time,\n",
    "    boundary_spec=td.BoundarySpec.all_sides(boundary=td.PML()),\n",
    ")\n",
    "sim_2 = td.Simulation(\n",
    "    size=sim_size,\n",
    "    grid_spec=grid_spec,\n",
    "    sources=[custom_src_2],\n",
    "    monitors=[mnt_xy, mnt_flux_f, mnt_flux_b],\n",
    "    run_time=run_time,\n",
    "    boundary_spec=td.BoundarySpec.all_sides(boundary=td.PML()),\n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1d0b3bcd",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T17:32:17.162813Z",
     "iopub.status.busy": "2023-08-18T17:32:17.162671Z",
     "iopub.status.idle": "2023-08-18T17:32:53.229377Z",
     "shell.execute_reply": "2023-08-18T17:32:53.228724Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-9e2c69b7-594e-4965-8f3c-0e3a3b999043v1'</span>.          <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[10:32:17]\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'zero_x'\u001b[0m with task_id                      \u001b]8;id=363726;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=975875;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#188\u001b\\\u001b[2m188\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b[32m'fdve-9e2c69b7-594e-4965-8f3c-0e3a3b999043v1'\u001b[0m.          \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>View task using web UI at                               <a href=\"file:///home/momchil/Drive/flexcompute/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/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#190\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">190</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-9e2c69b7-594e-4965-8f3c-0e3a3b999043v1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-</span></a> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-9e2c69b7-594e-4965-8f3c-0e3a3b999043v1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">9e2c69b7-594e-4965-8f3c-0e3a3b999043v1'</span></a>.                <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                               \u001b]8;id=452726;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=865288;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#190\u001b\\\u001b[2m190\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=669264;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9e2c69b7-594e-4965-8f3c-0e3a3b999043v1\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=776596;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9e2c69b7-594e-4965-8f3c-0e3a3b999043v1\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=669264;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9e2c69b7-594e-4965-8f3c-0e3a3b999043v1\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=947449;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9e2c69b7-594e-4965-8f3c-0e3a3b999043v1\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=669264;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9e2c69b7-594e-4965-8f3c-0e3a3b999043v1\u001b\\\u001b[32m-\u001b[0m\u001b]8;;\u001b\\ \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=669264;https://tidy3d.simulation.cloud/workbench?taskId=fdve-9e2c69b7-594e-4965-8f3c-0e3a3b999043v1\u001b\\\u001b[32m9e2c69b7-594e-4965-8f3c-0e3a3b999043v1'\u001b[0m\u001b]8;;\u001b\\.                \u001b[2m             \u001b[0m\n"
      ]
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       "Output()"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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       "<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"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'nonzero_x'</span> with task_id                   <a href=\"file:///home/momchil/Drive/flexcompute/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/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#188\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">188</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-1670879d-36a6-43b9-bc6e-73122dc47e9av1'</span>.          <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'nonzero_x'\u001b[0m with task_id                   \u001b]8;id=770646;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=301990;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#188\u001b\\\u001b[2m188\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b[32m'fdve-1670879d-36a6-43b9-bc6e-73122dc47e9av1'\u001b[0m.          \u001b[2m             \u001b[0m\n"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>View task using web UI at                               <a href=\"file:///home/momchil/Drive/flexcompute/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/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#190\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">190</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-1670879d-36a6-43b9-bc6e-73122dc47e9av1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-</span></a> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-1670879d-36a6-43b9-bc6e-73122dc47e9av1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">1670879d-36a6-43b9-bc6e-73122dc47e9av1'</span></a>.                <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                               \u001b]8;id=15232;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=287574;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#190\u001b\\\u001b[2m190\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=785835;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1670879d-36a6-43b9-bc6e-73122dc47e9av1\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=299745;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1670879d-36a6-43b9-bc6e-73122dc47e9av1\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=785835;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1670879d-36a6-43b9-bc6e-73122dc47e9av1\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=47070;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1670879d-36a6-43b9-bc6e-73122dc47e9av1\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=785835;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1670879d-36a6-43b9-bc6e-73122dc47e9av1\u001b\\\u001b[32m-\u001b[0m\u001b]8;;\u001b\\ \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=785835;https://tidy3d.simulation.cloud/workbench?taskId=fdve-1670879d-36a6-43b9-bc6e-73122dc47e9av1\u001b\\\u001b[32m1670879d-36a6-43b9-bc6e-73122dc47e9av1'\u001b[0m\u001b]8;;\u001b\\.                \u001b[2m             \u001b[0m\n"
      ]
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       "Output()"
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    {
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      "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": {},
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    {
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       "<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": {},
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    },
    {
     "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\">[10:32:19] </span>Started working on Batch.                            <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">container.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py#475\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">475</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[10:32:19]\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch.                            \u001b]8;id=467489;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py\u001b\\\u001b[2mcontainer.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=256363;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py#475\u001b\\\u001b[2m475\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\">[10:32:29] </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.050</span> for the whole batch.  <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">container.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py#479\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">479</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">                </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>cost after the Batch has completed.                  <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">                </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[10:32:29]\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.050\u001b[0m for the whole batch.  \u001b]8;id=242182;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py\u001b\\\u001b[2mcontainer.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=300658;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py#479\u001b\\\u001b[2m479\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit \u001b[2m                \u001b[0m\n",
       "\u001b[2;36m           \u001b[0mcost after the Batch has completed.                  \u001b[2m                \u001b[0m\n"
      ]
     },
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    {
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       "Output()"
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     },
     "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\">[10:32:53] </span>Batch complete.                                      <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">container.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py#522\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">522</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[10:32:53]\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                      \u001b]8;id=18539;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py\u001b\\\u001b[2mcontainer.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=924182;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py#522\u001b\\\u001b[2m522\u001b[0m\u001b]8;;\u001b\\\n"
      ]
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    },
    {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
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     },
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    },
    {
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       "<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": {},
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    }
   ],
   "source": [
    "batch = web.Batch(simulations={\"zero_x\": sim_1, \"nonzero_x\": sim_2}, verbose=True)\n",
    "batch_results = batch.run(path_dir=\"data\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f22fc0f",
   "metadata": {},
   "source": [
    "Below we plot the injected field in the two simulations. As can be seen, there is a bit of backwards ppower injected in the simulation in which we used a `FieldMonitor` with size `0` along x, while the injection is extremely clean in the case where the size of the monitor was slightly larger than zero. As mentioned above, this is because the fields from the original simulation are captured exactly as they are on the numerical grid."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "1c3b481c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T17:32:53.665526Z",
     "iopub.status.busy": "2023-08-18T17:32:53.665291Z",
     "iopub.status.idle": "2023-08-18T17:32:55.680385Z",
     "shell.execute_reply": "2023-08-18T17:32:55.679891Z"
    }
   },
   "outputs": [
    {
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      },
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       "Output()"
      ]
     },
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    },
    {
     "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": []
     },
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    },
    {
     "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": {},
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    },
    {
     "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\">[10:32:54] </span>loading SimulationData from                             <a href=\"file:///home/momchil/Drive/flexcompute/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/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#590\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">590</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>data/fdve-<span style=\"color: #ffff00; text-decoration-color: #ffff00\">9e2c69b7-594e-4965-8f3c-0e3a3b999043</span>v1.hdf5   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[10:32:54]\u001b[0m\u001b[2;36m \u001b[0mloading SimulationData from                             \u001b]8;id=455833;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=442672;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#590\u001b\\\u001b[2m590\u001b[0m\u001b]8;;\u001b\\\n",
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",
      "text/plain": [
       "<Figure size 1000x400 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 2, figsize=(10, 4))\n",
    "sim_data = batch_results[\"zero_x\"]\n",
    "sim_data.plot_field(\"field_xy\", field_name=\"Ey\", val=\"abs\", ax=ax[0])\n",
    "ax[0].set_xlim([-sim.size[0] / 2, sim.size[0] / 2])\n",
    "ax[0].set_ylim([-sim.size[1] / 2, sim.size[1] / 2])\n",
    "title = f\"Flux: fwd={float(sim_data['flux_f'].flux):1.2e}, bck={float(sim_data['flux_b'].flux):1.2e}\"\n",
    "title += \"\\nzero-size FieldData along x\"\n",
    "ax[0].set_title(title)\n",
    "sim_data = batch_results[\"nonzero_x\"]\n",
    "sim_data.plot_field(\"field_xy\", field_name=\"Ey\", val=\"abs\", ax=ax[1])\n",
    "ax[1].set_xlim([-sim.size[0] / 2, sim.size[0] / 2])\n",
    "ax[1].set_ylim([-sim.size[1] / 2, sim.size[1] / 2])\n",
    "title = f\"Flux: fwd={float(sim_data['flux_f'].flux):1.2e}, bck={float(sim_data['flux_b'].flux):1.2e}\"\n",
    "title += \"\\nnonzero-size FieldData along x\"\n",
    "ax[1].set_title(title)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "49bb1a69",
   "metadata": {},
   "source": [
    "### Importing arbitrary fields\n",
    "\n",
    "Next we show how to import arbitrary fields. We create numpy arrays to emulate the same Gaussian beam input. Data can be imported from file in exactly the same way, once it is read into a numpy array. We create two types of datasets: the first one contains the `Ey` field only, while the second one contains `Ey` and `Hz`. We can provide any combination of field components to the custom source, as long as at least one of the tangential fields is defined. However, as we will see, providing both `E` and `H` is required to make the source directional.\n",
    "\n",
    "**Note**: the fields are assumed to be defined w.r.t. the *local* coordinates of the source, that is to say with the coordinate origin lying at the source center. This makes it easy to specify a source profile and use that anywhere in a simulation. We illustrate this below by defining the dataset to be centered around `(0, 0, 0)`, while the source is placed at a different location in the simulation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6a7393de",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T17:32:55.700749Z",
     "iopub.status.busy": "2023-08-18T17:32:55.700614Z",
     "iopub.status.idle": "2023-08-18T17:32:55.730700Z",
     "shell.execute_reply": "2023-08-18T17:32:55.730200Z"
    }
   },
   "outputs": [],
   "source": [
    "# Scalar gaussian field with the same waist_radius as the beam source above\n",
    "ys, zs = np.linspace(-4, 4, 101), np.linspace(-4, 4, 101)\n",
    "y_grid, z_grid = np.meshgrid(ys, zs)\n",
    "scalar_gaussian = np.exp(-(y_grid**2 + z_grid**2) / waist_radius**2)\n",
    "\n",
    "# Field dataset defining only the E-field\n",
    "dataset_E = td.FieldDataset(\n",
    "    Ey=td.ScalarFieldDataArray(\n",
    "        scalar_gaussian[None, ..., None],\n",
    "        coords={\n",
    "            \"x\": [0],\n",
    "            \"y\": ys,\n",
    "            \"z\": zs,\n",
    "            \"f\": [freq0],\n",
    "        },\n",
    "    )\n",
    ")\n",
    "\n",
    "# Field dataset defining both E and H\n",
    "dataset_EH = td.FieldDataset(\n",
    "    Ey=td.ScalarFieldDataArray(\n",
    "        scalar_gaussian[None, ..., None],\n",
    "        coords={\n",
    "            \"x\": [0],\n",
    "            \"y\": ys,\n",
    "            \"z\": zs,\n",
    "            \"f\": [freq0],\n",
    "        },\n",
    "    ),\n",
    "    Hz=td.ScalarFieldDataArray(\n",
    "        scalar_gaussian[None, ..., None] / td.ETA_0,\n",
    "        coords={\n",
    "            \"x\": [0],\n",
    "            \"y\": ys,\n",
    "            \"z\": zs,\n",
    "            \"f\": [freq0],\n",
    "        },\n",
    "    ),\n",
    ")\n",
    "\n",
    "custom_src_3 = td.CustomFieldSource(\n",
    "    source_time=pulse,\n",
    "    center=(-1, 1, 0),\n",
    "    size=(0, 8, 8),\n",
    "    field_dataset=dataset_E,\n",
    ")\n",
    "custom_src_4 = td.CustomFieldSource(\n",
    "    source_time=pulse,\n",
    "    center=(-1, 1, 0),\n",
    "    size=(0, 8, 8),\n",
    "    field_dataset=dataset_EH,\n",
    ")\n",
    "sim_3 = td.Simulation(\n",
    "    size=sim_size,\n",
    "    grid_spec=grid_spec,\n",
    "    sources=[custom_src_3],\n",
    "    monitors=[mnt_xy, mnt_flux_f, mnt_flux_b],\n",
    "    run_time=run_time,\n",
    "    boundary_spec=td.BoundarySpec.all_sides(boundary=td.PML()),\n",
    ")\n",
    "sim_4 = td.Simulation(\n",
    "    size=sim_size,\n",
    "    grid_spec=grid_spec,\n",
    "    sources=[custom_src_4],\n",
    "    monitors=[mnt_xy, mnt_flux_f, mnt_flux_b],\n",
    "    run_time=run_time,\n",
    "    boundary_spec=td.BoundarySpec.all_sides(boundary=td.PML()),\n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "e95a8ab3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T17:32:55.733117Z",
     "iopub.status.busy": "2023-08-18T17:32:55.732977Z",
     "iopub.status.idle": "2023-08-18T17:33:25.569594Z",
     "shell.execute_reply": "2023-08-18T17:33:25.567461Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'custom_E'</span> with task_id                    <a href=\"file:///home/momchil/Drive/flexcompute/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/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#188\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">188</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-824fe08e-7cdc-438b-a5ff-04609c1e5cc1v1'</span>.          <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'custom_E'\u001b[0m with task_id                    \u001b]8;id=852037;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=596664;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#188\u001b\\\u001b[2m188\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b[32m'fdve-824fe08e-7cdc-438b-a5ff-04609c1e5cc1v1'\u001b[0m.          \u001b[2m             \u001b[0m\n"
      ]
     },
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>View task using web UI at                               <a href=\"file:///home/momchil/Drive/flexcompute/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/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#190\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">190</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-824fe08e-7cdc-438b-a5ff-04609c1e5cc1v1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-</span></a> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-824fe08e-7cdc-438b-a5ff-04609c1e5cc1v1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">824fe08e-7cdc-438b-a5ff-04609c1e5cc1v1'</span></a>.                <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                               \u001b]8;id=57779;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=918446;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#190\u001b\\\u001b[2m190\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=201503;https://tidy3d.simulation.cloud/workbench?taskId=fdve-824fe08e-7cdc-438b-a5ff-04609c1e5cc1v1\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=132233;https://tidy3d.simulation.cloud/workbench?taskId=fdve-824fe08e-7cdc-438b-a5ff-04609c1e5cc1v1\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=201503;https://tidy3d.simulation.cloud/workbench?taskId=fdve-824fe08e-7cdc-438b-a5ff-04609c1e5cc1v1\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=433566;https://tidy3d.simulation.cloud/workbench?taskId=fdve-824fe08e-7cdc-438b-a5ff-04609c1e5cc1v1\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=201503;https://tidy3d.simulation.cloud/workbench?taskId=fdve-824fe08e-7cdc-438b-a5ff-04609c1e5cc1v1\u001b\\\u001b[32m-\u001b[0m\u001b]8;;\u001b\\ \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=201503;https://tidy3d.simulation.cloud/workbench?taskId=fdve-824fe08e-7cdc-438b-a5ff-04609c1e5cc1v1\u001b\\\u001b[32m824fe08e-7cdc-438b-a5ff-04609c1e5cc1v1'\u001b[0m\u001b]8;;\u001b\\.                \u001b[2m             \u001b[0m\n"
      ]
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    {
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       "Output()"
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     },
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     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></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\">[10:32:56] </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'custom_EH'</span> with task_id                   <a href=\"file:///home/momchil/Drive/flexcompute/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/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#188\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">188</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-e3eccfef-14da-41c8-874b-ab7b1c780344v1'</span>.          <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[10:32:56]\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'custom_EH'\u001b[0m with task_id                   \u001b]8;id=581941;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=863948;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#188\u001b\\\u001b[2m188\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b[32m'fdve-e3eccfef-14da-41c8-874b-ab7b1c780344v1'\u001b[0m.          \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>View task using web UI at                               <a href=\"file:///home/momchil/Drive/flexcompute/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/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#190\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">190</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-e3eccfef-14da-41c8-874b-ab7b1c780344v1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-</span></a> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-e3eccfef-14da-41c8-874b-ab7b1c780344v1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">e3eccfef-14da-41c8-874b-ab7b1c780344v1'</span></a>.                <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                               \u001b]8;id=950624;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=939894;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#190\u001b\\\u001b[2m190\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=317078;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e3eccfef-14da-41c8-874b-ab7b1c780344v1\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=273730;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e3eccfef-14da-41c8-874b-ab7b1c780344v1\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=317078;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e3eccfef-14da-41c8-874b-ab7b1c780344v1\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=763023;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e3eccfef-14da-41c8-874b-ab7b1c780344v1\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=317078;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e3eccfef-14da-41c8-874b-ab7b1c780344v1\u001b\\\u001b[32m-\u001b[0m\u001b]8;;\u001b\\ \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=317078;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e3eccfef-14da-41c8-874b-ab7b1c780344v1\u001b\\\u001b[32me3eccfef-14da-41c8-874b-ab7b1c780344v1'\u001b[0m\u001b]8;;\u001b\\.                \u001b[2m             \u001b[0m\n"
      ]
     },
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    },
    {
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       "Output()"
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    },
    {
     "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\">[10:32:57] </span>Started working on Batch.                            <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">container.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py#475\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">475</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[10:32:57]\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch.                            \u001b]8;id=982608;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py\u001b\\\u001b[2mcontainer.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=144043;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py#475\u001b\\\u001b[2m475\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\">[10:33:06] </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.050</span> for the whole batch.  <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">container.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py#479\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">479</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">                </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>cost after the Batch has completed.                  <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">                </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[10:33:06]\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.050\u001b[0m for the whole batch.  \u001b]8;id=76978;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py\u001b\\\u001b[2mcontainer.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=4232;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py#479\u001b\\\u001b[2m479\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit \u001b[2m                \u001b[0m\n",
       "\u001b[2;36m           \u001b[0mcost after the Batch has completed.                  \u001b[2m                \u001b[0m\n"
      ]
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       "<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\">[10:33:25] </span>Batch complete.                                      <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">container.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py#522\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">522</span></a>\n",
       "</pre>\n"
      ],
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       "\u001b[2;36m[10:33:25]\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                      \u001b]8;id=525092;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py\u001b\\\u001b[2mcontainer.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=935018;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py#522\u001b\\\u001b[2m522\u001b[0m\u001b]8;;\u001b\\\n"
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       "</pre>\n"
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     "output_type": "display_data"
    }
   ],
   "source": [
    "batch = web.Batch(simulations={\"custom_E\": sim_3, \"custom_EH\": sim_4}, verbose=True)\n",
    "batch_results = batch.run(path_dir=\"data\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ddc2022",
   "metadata": {},
   "source": [
    "As can be seen below, if we only provide the `E` field to the custom source (or only the `H` field), the source is not directional, but instead equal power is injected in both directions. We can make it directional by providing both fields, provided that they are set with the correct phase offset. In this example, multiplying one of the two fields by `-1` will make the source inject in the backwards direction.\n",
    "\n",
    "Note also that in the case of custom fields, the flux is not automatically normalized. This could however be done by hand if both the `E` and the `H` fields are known, for example using the Tidy3D [FieldData](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldData.html) property `flux`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "ae1f2baf",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T17:33:25.921810Z",
     "iopub.status.busy": "2023-08-18T17:33:25.921477Z",
     "iopub.status.idle": "2023-08-18T17:33:27.710243Z",
     "shell.execute_reply": "2023-08-18T17:33:27.709705Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "956baf67f6c84e8c9cd328f17823fbf7",
       "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"
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     "metadata": {},
     "output_type": "display_data"
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    {
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       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>data/fdve-<span style=\"color: #ffff00; text-decoration-color: #ffff00\">824fe08e-7cdc-438b-a5ff-04609c1e5cc1</span>v1.hdf5   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[10:33:26]\u001b[0m\u001b[2;36m \u001b[0mloading SimulationData from                             \u001b]8;id=731669;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=103281;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#590\u001b\\\u001b[2m590\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0mdata/fdve-\u001b[93m824fe08e-7cdc-438b-a5ff-04609c1e5cc1\u001b[0mv1.hdf5   \u001b[2m             \u001b[0m\n"
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      },
      "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"
      ],
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     },
     "metadata": {},
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    {
     "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",
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       "</pre>\n"
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",
      "text/plain": [
       "<Figure size 1000x400 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 2, figsize=(10, 4))\n",
    "sim_data = batch_results[\"custom_E\"]\n",
    "sim_data.plot_field(\"field_xy\", field_name=\"Ey\", val=\"abs\", ax=ax[0])\n",
    "ax[0].set_xlim([-sim.size[0] / 2, sim.size[0] / 2])\n",
    "ax[0].set_ylim([-sim.size[1] / 2, sim.size[1] / 2])\n",
    "title = f\"Flux: fwd={float(sim_data['flux_f'].flux):1.2e}, bck={float(sim_data['flux_b'].flux):1.2e}\"\n",
    "title += \"\\nOnly E field supplied\"\n",
    "ax[0].set_title(title)\n",
    "sim_data = batch_results[\"custom_EH\"]\n",
    "sim_data.plot_field(\"field_xy\", field_name=\"Ey\", val=\"abs\", ax=ax[1])\n",
    "ax[1].set_xlim([-sim.size[0] / 2, sim.size[0] / 2])\n",
    "ax[1].set_ylim([-sim.size[1] / 2, sim.size[1] / 2])\n",
    "title = f\"Flux: fwd={float(sim_data['flux_f'].flux):1.2e}, bck={float(sim_data['flux_b'].flux):1.2e}\"\n",
    "title += \"\\nE and H fields supplied\"\n",
    "ax[1].set_title(title)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8381fb18",
   "metadata": {},
   "source": [
    "### Notes on `CustomFieldSource`\n",
    "\n",
    "- Only the field components tangential to the custom source plane are needed and used in the simulation. Due to the equivalence principle, these fully define the currents that need to be injected. This is not to say that the normal components of the data (`Ex`, `Hx` in our example) is lost or not injected. It is merely not needed as it can be uniquely obtained using the tangential components.\n",
    "- Source data can be imported from file just as shown here, after the data is imported as a numpy array using standard numpy functions like [loadtxt](https://numpy.org/doc/stable/reference/generated/numpy.loadtxt.html).\n",
    "- If the data is not coming from a Tidy3D simulation, the normalization is likely going to be arbitrary and the directionality of the source will likely not be perfect, even if both the `E` and `H` fields are provided. An empty normalizing run may be needed to accurately normalize results."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "56095046-4658-4997-a771-4f56b15cd7ca",
   "metadata": {},
   "source": [
    "## Custom Current Sources\n",
    "\n",
    "Alternatively, one might want to inject a raw electric and magnetic current distribution within the simulation.\n",
    "For this, we introduce a `CustomCurrentSource` object.\n",
    "\n",
    "The syntax is very similar to `CustomFieldSource`, except instead of a `field_dataset`, the source accepts a `current_dataset`. This dataset still contains E{x,y,z} and H{x,y,z} field components, which correspond to J and M components respectively.\n",
    "\n",
    "There are also fewer constraints on the data requirements for `CustomCurrentSource`. It can be volumetric or planar without requiring tangential components.\n",
    "\n",
    "Finally, note that the dataset is still defined w.r.t. the source center, just as in the case of the `CustomFieldSource`, and can then be placed anywhere in the simulation.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a95e2dc8-75c7-40b5-b258-8b88ccd0c5ef",
   "metadata": {},
   "source": [
    "To demonstrate, here we make a CustomCurrentSource using our field pattern and the relations $J = n\\times H$ and $M = -n\\times E$ that should recreate the unidirectional excitation (up to the numerical resolution of our source)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "ce52f7a1-6a9a-4e57-92a2-6df73ecc83e6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T17:33:27.731445Z",
     "iopub.status.busy": "2023-08-18T17:33:27.731312Z",
     "iopub.status.idle": "2023-08-18T17:33:27.760056Z",
     "shell.execute_reply": "2023-08-18T17:33:27.759484Z"
    }
   },
   "outputs": [],
   "source": [
    "dataset_JM = td.FieldDataset(\n",
    "    Ey=td.ScalarFieldDataArray(\n",
    "        -scalar_gaussian[None, ..., None] / td.ETA_0,\n",
    "        coords={\n",
    "            \"x\": [0],\n",
    "            \"y\": ys,\n",
    "            \"z\": zs,\n",
    "            \"f\": [freq0],\n",
    "        },\n",
    "    ),\n",
    "    Hz=td.ScalarFieldDataArray(\n",
    "        -scalar_gaussian[None, ..., None],\n",
    "        coords={\n",
    "            \"x\": [0],\n",
    "            \"y\": ys,\n",
    "            \"z\": zs,\n",
    "            \"f\": [freq0],\n",
    "        },\n",
    "    ),\n",
    ")\n",
    "\n",
    "custom_src_JM = td.CustomCurrentSource(\n",
    "    source_time=pulse,\n",
    "    center=(-1, 1, 0),\n",
    "    size=(0, 8, 8),\n",
    "    current_dataset=dataset_JM,\n",
    ")\n",
    "\n",
    "sim_JM = sim_4.updated_copy(sources=[custom_src_JM])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "bb7d6f21-277d-4a9c-90f1-cb132d188ee6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T17:33:27.763429Z",
     "iopub.status.busy": "2023-08-18T17:33:27.763234Z",
     "iopub.status.idle": "2023-08-18T17:33:51.716910Z",
     "shell.execute_reply": "2023-08-18T17:33:51.716348Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'custom current'</span> with task_id              <a href=\"file:///home/momchil/Drive/flexcompute/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/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#188\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">188</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-e2320d6d-fea6-4986-8e94-133f2bb81e0bv1'</span>.          <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
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       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'custom current'\u001b[0m with task_id              \u001b]8;id=503968;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=615599;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#188\u001b\\\u001b[2m188\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b[32m'fdve-e2320d6d-fea6-4986-8e94-133f2bb81e0bv1'\u001b[0m.          \u001b[2m             \u001b[0m\n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>View task using web UI at                               <a href=\"file:///home/momchil/Drive/flexcompute/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/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#190\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">190</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-e2320d6d-fea6-4986-8e94-133f2bb81e0bv1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-</span></a> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-e2320d6d-fea6-4986-8e94-133f2bb81e0bv1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">e2320d6d-fea6-4986-8e94-133f2bb81e0bv1'</span></a>.                <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                               \u001b]8;id=967418;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=529694;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#190\u001b\\\u001b[2m190\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=261146;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e2320d6d-fea6-4986-8e94-133f2bb81e0bv1\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=520442;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e2320d6d-fea6-4986-8e94-133f2bb81e0bv1\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=261146;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e2320d6d-fea6-4986-8e94-133f2bb81e0bv1\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=589157;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e2320d6d-fea6-4986-8e94-133f2bb81e0bv1\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=261146;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e2320d6d-fea6-4986-8e94-133f2bb81e0bv1\u001b\\\u001b[32m-\u001b[0m\u001b]8;;\u001b\\ \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=261146;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e2320d6d-fea6-4986-8e94-133f2bb81e0bv1\u001b\\\u001b[32me2320d6d-fea6-4986-8e94-133f2bb81e0bv1'\u001b[0m\u001b]8;;\u001b\\.                \u001b[2m             \u001b[0m\n"
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       "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\">[10:33:28] </span>status = queued                                         <a href=\"file:///home/momchil/Drive/flexcompute/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/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#361\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">361</span></a>\n",
       "</pre>\n"
      ],
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       "\u001b[2;36m[10:33:28]\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                         \u001b]8;id=110348;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=440132;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#361\u001b\\\u001b[2m361\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
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       "Output()"
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     "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\">[10:33:37] </span>status = preprocess                                     <a href=\"file:///home/momchil/Drive/flexcompute/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/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#355\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">355</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[10:33:37]\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                     \u001b]8;id=782240;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=586315;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#355\u001b\\\u001b[2m355\u001b[0m\u001b]8;;\u001b\\\n"
      ]
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    {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
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     },
     "metadata": {},
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    {
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      "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\">[10:33:40] </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use                     <a href=\"file:///home/momchil/Drive/flexcompute/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/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#341\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">341</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed FlexCredit   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>cost after a simulation run.                            <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[10:33:40]\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.025\u001b[0m. Use                     \u001b]8;id=406729;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=578876;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#341\u001b\\\u001b[2m341\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit   \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0mcost after a simulation run.                            \u001b[2m             \u001b[0m\n"
      ]
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       "<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>starting up solver                                      <a href=\"file:///home/momchil/Drive/flexcompute/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/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#377\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">377</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                      \u001b]8;id=579943;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=34567;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#377\u001b\\\u001b[2m377\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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      "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\">[10:33:41] </span>running solver                                          <a href=\"file:///home/momchil/Drive/flexcompute/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/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#386\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">386</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[10:33:41]\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                          \u001b]8;id=570087;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=761628;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#386\u001b\\\u001b[2m386\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
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    {
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      "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>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or   <a href=\"file:///home/momchil/Drive/flexcompute/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/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#387\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">387</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>web UI. Terminating the Python script will not stop the <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>job running on the cloud.                               <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or   \u001b]8;id=308102;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=863721;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#387\u001b\\\u001b[2m387\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the   \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0mweb UI. Terminating the Python script will not stop the \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0mjob running on the cloud.                               \u001b[2m             \u001b[0m\n"
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     },
     "metadata": {},
     "output_type": "display_data"
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       "Output()"
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     },
     "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\">[10:33:46] </span>early shutoff detected, exiting.                        <a href=\"file:///home/momchil/Drive/flexcompute/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/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#404\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">404</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[10:33:46]\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected, exiting.                        \u001b]8;id=209815;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=208038;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#404\u001b\\\u001b[2m404\u001b[0m\u001b]8;;\u001b\\\n"
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     },
     "metadata": {},
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    {
     "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",
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       "\n"
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     "metadata": {},
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    {
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       "<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>status = postprocess                                    <a href=\"file:///home/momchil/Drive/flexcompute/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/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#419\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">419</span></a>\n",
       "</pre>\n"
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      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                    \u001b]8;id=836013;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=192788;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#419\u001b\\\u001b[2m419\u001b[0m\u001b]8;;\u001b\\\n"
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    {
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       "</pre>\n"
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      "text/plain": [
       "\u001b[2;36m[10:33:50]\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                        \u001b]8;id=111206;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=302365;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#426\u001b\\\u001b[2m426\u001b[0m\u001b]8;;\u001b\\\n"
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       "Output()"
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     "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"
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     },
     "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\">[10:33:51] </span>loading SimulationData from simulation_data.hdf5        <a href=\"file:///home/momchil/Drive/flexcompute/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/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#590\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">590</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[10:33:51]\u001b[0m\u001b[2;36m \u001b[0mloading SimulationData from simulation_data.hdf5        \u001b]8;id=337918;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=500903;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#590\u001b\\\u001b[2m590\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_data_JM = web.run(sim_JM, task_name='custom current')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "0bab85e7-fbe6-4fd0-8efc-944f785627d0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T17:33:52.261422Z",
     "iopub.status.busy": "2023-08-18T17:33:52.261266Z",
     "iopub.status.idle": "2023-08-18T17:33:52.541210Z",
     "shell.execute_reply": "2023-08-18T17:33:52.540651Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1)\n",
    "sim_data.plot_field(\"field_xy\", field_name=\"Ey\", val=\"abs\", ax=ax)\n",
    "ax.set_xlim([-sim.size[0] / 2, sim.size[0] / 2])\n",
    "ax.set_ylim([-sim.size[1] / 2, sim.size[1] / 2])\n",
    "ax.set_title(\n",
    "    f\"Flux fwd={float(sim_data['flux_f'].flux):1.2e}, bck={float(sim_data['flux_b'].flux):1.2e}\"\n",
    ")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "06347716",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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 "metadata": {
  "description": "This notebook demonstrates how to define complex, spatially-varying sources in Tidy3D FDTD.",
  "feature_image": "",
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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  "keywords": "custom source, Tidy3D, FDTD",
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.16"
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  "nbdime-conflicts": {
   "local_diff": [
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   "remote_diff": [
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  "title": "Defining Spatially-varying Sources in Tidy3D | Flexcompute",
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