{ "cells": [ { "cell_type": "markdown", "id": "9e129b4e", "metadata": {}, "source": [ "# Data plotting\n", "\n", "This notebook is a tutorial on working with Tidy3D output data.\n", "\n", "We will cover:\n", "\n", "- Accessing data.\n", "\n", "- Manipulating data.\n", "\n", "- Visualizing data.\n", "\n", "First we import the packages we'll need." ] }, { "cell_type": "code", "execution_count": 1, "id": "a22293a5", "metadata": { "execution": { "iopub.execute_input": "2023-02-03T04:13:17.799234Z", "iopub.status.busy": "2023-02-03T04:13:17.798920Z", "iopub.status.idle": "2023-02-03T04:13:18.859528Z", "shell.execute_reply": "2023-02-03T04:13:18.859114Z" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "
[22:13:18] WARNING This version of Tidy3D was pip installed from the 'tidy3d-beta' repository on __init__.py:103\n", " PyPI. Future releases will be uploaded to the 'tidy3d' repository. From now on, \n", " please use 'pip install tidy3d' instead. \n", "\n" ], "text/plain": [ "\u001b[2;36m[22:13:18]\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING \u001b[0m This version of Tidy3D was pip installed from the \u001b[32m'tidy3d-beta'\u001b[0m repository on \u001b]8;id=587745;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/__init__.py\u001b\\\u001b[2m__init__.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=646744;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/__init__.py#103\u001b\\\u001b[2m103\u001b[0m\u001b]8;;\u001b\\\n", "\u001b[2;36m \u001b[0m PyPI. Future releases will be uploaded to the \u001b[32m'tidy3d'\u001b[0m repository. From now on, \u001b[2m \u001b[0m\n", "\u001b[2;36m \u001b[0m please use \u001b[32m'pip install tidy3d'\u001b[0m instead. \u001b[2m \u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
INFO Using client version: 1.9.0rc1 __init__.py:121\n", "\n" ], "text/plain": [ "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO \u001b[0m Using client version: \u001b[1;36m1.9\u001b[0m.0rc1 \u001b]8;id=213153;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/__init__.py\u001b\\\u001b[2m__init__.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=999542;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/__init__.py#121\u001b\\\u001b[2m121\u001b[0m\u001b]8;;\u001b\\\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%matplotlib inline\n", "import numpy as np\n", "import matplotlib.pylab as plt\n", "\n", "import tidy3d as td\n", "import tidy3d.web as web\n" ] }, { "cell_type": "markdown", "id": "cc1c1323", "metadata": {}, "source": [ "## Setup\n", "\n", "### Creating Simulation\n", "\n", "First, let's make a [Simulation](https://docs.flexcompute.com/projects/tidy3d/en/v1.9.0rc1/_autosummary/tidy3d.Simulation.html) so we have data to plot.\n", "\n", "We will add each possible type of monitor into the simultion to explore their output data separately." ] }, { "cell_type": "code", "execution_count": 2, "id": "61c49575", "metadata": { "execution": { "iopub.execute_input": "2023-02-03T04:13:18.861941Z", "iopub.status.busy": "2023-02-03T04:13:18.861679Z", "iopub.status.idle": "2023-02-03T04:13:18.871605Z", "shell.execute_reply": "2023-02-03T04:13:18.871235Z" }, "tags": [] }, "outputs": [], "source": [ "# simulation parameters\n", "Lx, Ly, Lz = 5, 5, 5\n", "min_steps_per_wvl = 32\n", "\n", "# monitor parameters\n", "freq0 = 2e14\n", "freqs = np.linspace(1e14, 3e14, 11)\n", "num_modes = 3\n", "\n", "simulation = td.Simulation(\n", " size=(Lx, Ly, Lz),\n", " grid_spec=td.GridSpec.auto(min_steps_per_wvl=min_steps_per_wvl),\n", " run_time=4e-13,\n", " boundary_spec=td.BoundarySpec.all_sides(boundary=td.PML()),\n", " structures=[\n", " td.Structure(\n", " geometry=td.Box(center=(0, 0, 0), size=(10001, 1.4, 1.5)),\n", " medium=td.Medium(permittivity=2),\n", " name=\"waveguide\",\n", " ),\n", " td.Structure(\n", " geometry=td.Box(center=(0, 0.5, 0.5), size=(1.5, 1.4, 1.5)),\n", " medium=td.Medium(permittivity=2),\n", " name=\"scatterer\",\n", " ),\n", " ],\n", " sources=[\n", " td.ModeSource(\n", " source_time=td.GaussianPulse(freq0=freq0, fwidth=6e13),\n", " center=(-2.0, 0.0, 0.0),\n", " size=(0.0, 3, 3),\n", " direction=\"+\",\n", " mode_spec=td.ModeSpec(),\n", " mode_index=0,\n", " )\n", " ],\n", " monitors=[\n", " td.FieldMonitor(\n", " fields=[\"Ex\", \"Ey\", \"Ez\"],\n", " size=(td.inf, 0, td.inf),\n", " center=(0, 0, 0),\n", " freqs=freqs,\n", " name=\"field\",\n", " ),\n", " td.FieldTimeMonitor(\n", " fields=[\"Ex\", \"Ey\", \"Ez\"],\n", " size=(td.inf, 0, td.inf),\n", " center=(0, 0, 0),\n", " interval=200,\n", " name=\"field_time\",\n", " ),\n", " td.FluxMonitor(size=(0, 3, 3), center=(2, 0, 0), freqs=freqs, name=\"flux\"),\n", " td.FluxTimeMonitor(\n", " size=(0, 3, 3), center=(2, 0, 0), interval=10, name=\"flux_time\"\n", " ),\n", " td.ModeMonitor(\n", " size=(0, 3, 3),\n", " center=(2, 0, 0),\n", " freqs=freqs,\n", " mode_spec=td.ModeSpec(num_modes=num_modes),\n", " name=\"mode\",\n", " ),\n", " ],\n", ")\n" ] }, { "cell_type": "code", "execution_count": 3, "id": "004348be", "metadata": { "execution": { "iopub.execute_input": "2023-02-03T04:13:18.873720Z", "iopub.status.busy": "2023-02-03T04:13:18.873561Z", "iopub.status.idle": "2023-02-03T04:13:18.909844Z", "shell.execute_reply": "2023-02-03T04:13:18.909463Z" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "
INFO Auto meshing using wavelength 1.4990 defined from sources. grid_spec.py:510\n", "\n" ], "text/plain": [ "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO \u001b[0m Auto meshing using wavelength \u001b[1;36m1.4990\u001b[0m defined from sources. \u001b]8;id=140113;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/components/grid/grid_spec.py\u001b\\\u001b[2mgrid_spec.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=836177;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/components/grid/grid_spec.py#510\u001b\\\u001b[2m510\u001b[0m\u001b]8;;\u001b\\\n" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "monitor field requires 7.06e+06 bytes of storage.\n", "monitor field_time requires 1.06e+07 bytes of storage.\n", "monitor flux requires 4.40e+01 bytes of storage.\n", "monitor flux_time requires 2.65e+03 bytes of storage.\n", "monitor mode requires 7.92e+02 bytes of storage.\n" ] } ], "source": [ "tmesh = simulation.tmesh\n", "\n", "total_size_bytes = 0\n", "for monitor in simulation.monitors:\n", " monitor_grid = simulation.discretize(monitor)\n", " num_cells = np.prod(monitor_grid.num_cells)\n", " monitor_size = monitor.storage_size(num_cells=num_cells, tmesh=tmesh)\n", " print(f\"monitor {monitor.name} requires {monitor_size:.2e} bytes of storage.\")\n" ] }, { "cell_type": "markdown", "id": "e3748bef", "metadata": {}, "source": [ "### Visualize Geometry\n", "\n", "We've created a simple waveguide with a defect / scattering region defined using a [Box](https://docs.flexcompute.com/projects/tidy3d/en/v1.9.0rc1/_autosummary/tidy3d.Box.html) geometry.\n", "\n", "A modal source is injected from the -x side of the simulation and we measure the mode amplitudes and flux at the +x side.\n", "\n", "We've also placed a couple field monitors to visualize the field patterns.\n", "\n", "Let's take a look at the geometry from a few cross sections." ] }, { "cell_type": "code", "execution_count": 4, "id": "3f7e72a2", "metadata": { "execution": { "iopub.execute_input": "2023-02-03T04:13:18.911934Z", "iopub.status.busy": "2023-02-03T04:13:18.911769Z", "iopub.status.idle": "2023-02-03T04:13:19.201110Z", "shell.execute_reply": "2023-02-03T04:13:19.200682Z" }, "tags": [] }, "outputs": [ { "data": { "image/png": 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[22:14:18] INFO loading SimulationData from data/simulation.hdf5 webapi.py:415\n", "\n" ], "text/plain": [ "\u001b[2;36m[22:14:18]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO \u001b[0m loading SimulationData from data/simulation.hdf5 \u001b]8;id=322845;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=650089;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#415\u001b\\\u001b[2m415\u001b[0m\u001b]8;;\u001b\\\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sim0_data = web.run(\n", " simulation0, task_name=\"straight waveguide\", path=\"data/simulation.hdf5\"\n", ")\n", "sim_data = web.run(\n", " simulation, task_name=\"scattered waveguide\", path=\"data/simulation.hdf5\"\n", ")\n" ] }, { "cell_type": "markdown", "id": "72401eff", "metadata": {}, "source": [ "### Inspecting Log\n", "\n", "Now let's take a look at the log to see if everything looks ok (fields decayed, etc)." ] }, { "cell_type": "code", "execution_count": 7, "id": "3e528e33", "metadata": { "execution": { "iopub.execute_input": "2023-02-03T04:14:20.026663Z", "iopub.status.busy": "2023-02-03T04:14:20.026553Z", "iopub.status.idle": "2023-02-03T04:14:20.028703Z", "shell.execute_reply": "2023-02-03T04:14:20.028376Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Simulation domain Nx, Ny, Nz: [176, 152, 152]\n", "Applied symmetries: (0, 0, 0)\n", "Number of computational grid points: 4.2214e+06.\n", "Using subpixel averaging: True\n", "Number of time steps: 6.6230e+03\n", "Automatic shutoff factor: 1.00e-05\n", "Time step (s): 6.0408e-17\n", "\n", "\n", "Compute source modes time (s): 0.5539\n", "Compute monitor modes time (s): 2.2783\n", "Rest of setup time (s): 2.6144\n", "\n", "Running solver for 6623 time steps...\n", "- Time step 220 / time 1.33e-14s ( 3 % done), field decay: 1.00e+00\n", "- Time step 264 / time 1.59e-14s ( 4 % done), field decay: 1.00e+00\n", "- Time step 529 / time 3.20e-14s ( 8 % done), field decay: 1.00e+00\n", "- Time step 794 / time 4.80e-14s ( 12 % done), field decay: 8.03e-04\n", "- Time step 1059 / time 6.40e-14s ( 16 % done), field decay: 1.36e-06\n", "Field decay smaller than shutoff factor, exiting solver.\n", "\n", "Solver time (s): 2.7127\n", "\n" ] } ], "source": [ "print(sim_data.log)\n" ] }, { "cell_type": "markdown", "id": "ce4a54c3", "metadata": {}, "source": [ "## Post-Processing\n", "\n", "Now that the simulations have run and their data are loaded into the `sim_data` and `sim0_data` variables, we will explore how to access, manipulate, and visualize the data. \n", "\n", "### Accessing Data\n", "\n", "#### Original Simulation\n", "\n", "The [SimulationData](https://docs.flexcompute.com/projects/tidy3d/en/v1.9.0rc1/_autosummary/tidy3d.SimulationData.html) objects store a copy of the original [Simulation](https://docs.flexcompute.com/projects/tidy3d/en/v1.9.0rc1/_autosummary/tidy3d.Simulation.html), so it can be recovered if the [SimulationData](https://docs.flexcompute.com/projects/tidy3d/en/v1.9.0rc1/_autosummary/tidy3d.SimulationData.html) is loaded in a new session and the [Simulation](https://docs.flexcompute.com/projects/tidy3d/en/v1.9.0rc1/_autosummary/tidy3d.Simulation.html) is no longer in memory." ] }, { "cell_type": "code", "execution_count": 8, "id": "2c3ef22b", "metadata": { "execution": { "iopub.execute_input": "2023-02-03T04:14:20.031355Z", "iopub.status.busy": "2023-02-03T04:14:20.031235Z", "iopub.status.idle": "2023-02-03T04:14:20.033362Z", "shell.execute_reply": "2023-02-03T04:14:20.033040Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(5.0, 5.0, 5.0)\n" ] } ], "source": [ "print(sim_data.simulation.size)\n" ] }, { "cell_type": "markdown", "id": "30e26ff6", "metadata": {}, "source": [ "#### Monitor Data\n", "\n", "More importantly, the [SimulationData](https://docs.flexcompute.com/projects/tidy3d/en/v1.9.0rc1/_autosummary/tidy3d.SimulationData.html) contains a reference to the data for each of the monitors within the original [Simulation](https://docs.flexcompute.com/projects/tidy3d/en/v1.9.0rc1/_autosummary/tidy3d.Simulation.html).\n", "This data can be accessed directly using the `name` given to the monitors initially.\n", "\n", "For example, our [FluxMonitor](https://docs.flexcompute.com/projects/tidy3d/en/v1.9.0rc1/_autosummary/tidy3d.FluxMonitor.html) was named `'flux'` while our [FluxTimeMonitor](https://docs.flexcompute.com/projects/tidy3d/en/v1.9.0rc1/_autosummary/tidy3d.FluxTimeMonitor.html) was named `'flux_time'`, each with a `.flux` attribute storing the raw data. Therefore, we can access the data as follows." ] }, { "cell_type": "code", "execution_count": 9, "id": "58af7e8c", "metadata": { "execution": { "iopub.execute_input": "2023-02-03T04:14:20.035356Z", "iopub.status.busy": "2023-02-03T04:14:20.035191Z", "iopub.status.idle": "2023-02-03T04:14:20.038552Z", "shell.execute_reply": "2023-02-03T04:14:20.038186Z" }, "tags": [] }, "outputs": [], "source": [ "# get the flux data from the monitor name\n", "flux_data = sim_data[\"flux\"].flux\n", "flux_time_data = sim_data[\"flux_time\"].flux\n" ] }, { "cell_type": "markdown", "id": "8f9f3a94", "metadata": {}, "source": [ "### Structure of Data\n", "\n", "Now that we have the data loaded, let's inspect it." ] }, { "cell_type": "code", "execution_count": 10, "id": "d672a805", "metadata": { "execution": { "iopub.execute_input": "2023-02-03T04:14:20.040545Z", "iopub.status.busy": "2023-02-03T04:14:20.040430Z", "iopub.status.idle": "2023-02-03T04:14:20.049440Z", "shell.execute_reply": "2023-02-03T04:14:20.049140Z" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "
<xarray.FluxDataArray (f: 11)>\n", "array([0.591912 , 0.7745048 , 0.8931 , 0.95288116, 0.97218627,\n", " 0.9766828 , 0.9795849 , 0.9839063 , 0.9879946 , 0.9901106 ,\n", " 0.99019235], dtype=float32)\n", "Coordinates:\n", " * f (f) float64 1e+14 1.2e+14 1.4e+14 1.6e+14 ... 2.6e+14 2.8e+14 3e+14\n", "Attributes:\n", " units: W\n", " long_name: flux
<xarray.ScalarFieldDataArray (x: 178, y: 1, z: 154, f: 11)>\n", "array([[[[ 0.00000000e+00+0.0000000e+00j,\n", " 0.00000000e+00+0.0000000e+00j,\n", " -0.00000000e+00-0.0000000e+00j, ...,\n", " 0.00000000e+00+0.0000000e+00j,\n", " 0.00000000e+00-0.0000000e+00j,\n", " -0.00000000e+00-0.0000000e+00j],\n", " [ 0.00000000e+00+0.0000000e+00j,\n", " 0.00000000e+00+0.0000000e+00j,\n", " -0.00000000e+00-0.0000000e+00j, ...,\n", " 0.00000000e+00+0.0000000e+00j,\n", " 0.00000000e+00-0.0000000e+00j,\n", " -0.00000000e+00-0.0000000e+00j],\n", " [ 6.43478160e-08+2.2920256e-08j,\n", " -7.46410151e-08+4.1726917e-08j,\n", " -3.07212815e-08-2.5303006e-09j, ...,\n", " 2.56144510e-08+2.5176810e-08j,\n", " -3.49830742e-08+3.8806519e-08j,\n", " -1.45186245e-08-1.9318170e-08j],\n", " ...,\n", " [-5.54970967e-08-1.4926345e-08j,\n", "...\n", " -2.41072717e-09+5.2363074e-09j],\n", " ...,\n", " [-6.27467078e-10-7.4389943e-09j,\n", " 1.45480961e-09+9.0445926e-09j,\n", " 2.89787055e-10-5.5823879e-09j, ...,\n", " 1.90179317e-09+1.7743294e-09j,\n", " -9.13492282e-10-2.1816593e-09j,\n", " 4.50721593e-09-6.2089284e-10j],\n", " [-6.59422794e-10+8.6273655e-10j,\n", " 7.13056489e-11+9.2542590e-10j,\n", " -2.19914156e-11-5.1966337e-11j, ...,\n", " 8.63919630e-11+4.0660250e-10j,\n", " -1.42005477e-10+1.8165988e-10j,\n", " 4.32076513e-10+1.3890591e-10j],\n", " [ 0.00000000e+00+0.0000000e+00j,\n", " 0.00000000e+00+0.0000000e+00j,\n", " -0.00000000e+00-0.0000000e+00j, ...,\n", " 0.00000000e+00+0.0000000e+00j,\n", " 0.00000000e+00-0.0000000e+00j,\n", " -0.00000000e+00-0.0000000e+00j]]]], dtype=complex64)\n", "Coordinates:\n", " * x (x) float64 -2.913 -2.88 -2.847 -2.814 ... 2.814 2.847 2.88 2.913\n", " * y (y) float64 0.0\n", " * z (z) float64 -3.108 -3.061 -3.015 -2.968 ... 2.922 2.968 3.015 3.062\n", " * f (f) float64 1e+14 1.2e+14 1.4e+14 1.6e+14 ... 2.6e+14 2.8e+14 3e+14\n", "Attributes:\n", " long_name: field value
[22:14:20] INFO Auto meshing using wavelength 1.4990 defined from sources. grid_spec.py:510\n", "\n" ], "text/plain": [ "\u001b[2;36m[22:14:20]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO \u001b[0m Auto meshing using wavelength \u001b[1;36m1.4990\u001b[0m defined from sources. \u001b]8;id=377861;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/components/grid/grid_spec.py\u001b\\\u001b[2mgrid_spec.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=333893;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/components/grid/grid_spec.py#510\u001b\\\u001b[2m510\u001b[0m\u001b]8;;\u001b\\\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
INFO Auto meshing using wavelength 1.4990 defined from sources. grid_spec.py:510\n", "\n" ], "text/plain": [ "\u001b[2;36m \u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO \u001b[0m Auto meshing using wavelength \u001b[1;36m1.4990\u001b[0m defined from sources. \u001b]8;id=566494;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/components/grid/grid_spec.py\u001b\\\u001b[2mgrid_spec.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=739063;file:///Users/twhughes/Documents/Flexcompute/tidy3d-docs/tidy3d/tidy3d/components/grid/grid_spec.py#510\u001b\\\u001b[2m510\u001b[0m\u001b]8;;\u001b\\\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "field0_data_centered = sim0_data.at_centers(\"field\").interp(f=200e12)\n", "field_data_centered = sim_data.at_centers(\"field\").interp(f=200e12)\n" ] }, { "cell_type": "markdown", "id": "8cd0d9e9", "metadata": {}, "source": [ "The centered field data is stored as an xarray [Dataset](https://xarray.pydata.org/en/stable/generated/xarray.Dataset.html), which provies similar functionality as the [DataArray](https://xarray.pydata.org/en/stable/generated/xarray.DataArray.html) objects, but is aware of all of the field data and provides more convenience methods, as we will explore in the next section." ] }, { "cell_type": "markdown", "id": "89af5c1f", "metadata": {}, "source": [ "### Plotting Fields\n", "\n", "#### Simple \n", "Plotting fields requires a little bit of manipulation to get them in the right shape, but then it is straightforward." ] }, { "cell_type": "code", "execution_count": 25, "id": "98ba6150", "metadata": { "execution": { "iopub.execute_input": "2023-02-03T04:14:20.975124Z", "iopub.status.busy": "2023-02-03T04:14:20.974938Z", "iopub.status.idle": "2023-02-03T04:14:20.983392Z", "shell.execute_reply": "2023-02-03T04:14:20.983012Z" }, "tags": [] }, "outputs": [], "source": [ "# get the field data on the y=0 plane at frequency 200THz\n", "Ez_data = field_data.Ez.isel(y=0).interp(f=2e14)\n", "Ez0_data = field0_data.Ez.isel(y=0).interp(f=2e14)\n" ] }, { "cell_type": "code", "execution_count": 26, "id": "4a5dc0c3", "metadata": { "execution": { "iopub.execute_input": "2023-02-03T04:14:20.985518Z", "iopub.status.busy": "2023-02-03T04:14:20.985339Z", "iopub.status.idle": "2023-02-03T04:14:21.651880Z", "shell.execute_reply": "2023-02-03T04:14:21.651437Z" }, "tags": [] }, "outputs": [ { "data": { "image/png": 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\n", 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109648 rows × 5 columns
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🏃 Finishing 'scattered waveguide'...\n🏃 Finishing 'scattered waveguide'...\n", "text/plain": "\r\u001b[2K\u001b[32m🏃 \u001b[0m \u001b[1;32mFinishing 'scattered waveguide'...\u001b[0m\n\u001b[32m🏃 \u001b[0m \u001b[1;32mFinishing 'scattered waveguide'...\u001b[0m" }, "metadata": {}, "output_type": "display_data" } ], "tabbable": null, "tooltip": null } }, "3f65cafe83424e18ac165ac5f7f0cfec": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "5279d7970a7f40ac93f7e3cdd473ffe2": { "model_module": "@jupyter-widgets/output", "model_module_version": "1.0.0", "model_name": "OutputModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/output", "_model_module_version": "1.0.0", "_model_name": "OutputModel", "_view_count": null, "_view_module": "@jupyter-widgets/output", "_view_module_version": "1.0.0", "_view_name": "OutputView", "layout": "IPY_MODEL_3f65cafe83424e18ac165ac5f7f0cfec", "msg_id": "", "outputs": [ { "data": { "text/html": "
↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━ 91.5% • 8.5/9.3 MB • 6.1 MB/s • 0:00:01\n↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━ 91.5% • 8.5/9.3 MB • 6.1 MB/s • 0:00:01\n", "text/plain": "\r\u001b[2K\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m \u001b[35m91.5%\u001b[0m • \u001b[32m8.5/9.3 MB\u001b[0m • \u001b[31m6.1 MB/s\u001b[0m • \u001b[36m0:00:01\u001b[0m\n\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m\u001b[38;5;237m━━━\u001b[0m \u001b[35m91.5%\u001b[0m • \u001b[32m8.5/9.3 MB\u001b[0m • \u001b[31m6.1 MB/s\u001b[0m • \u001b[36m0:00:01\u001b[0m" }, "metadata": {}, "output_type": "display_data" } ], "tabbable": null, "tooltip": null } }, "5e62d528e5d449f2a0a560fe3cff48f4": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "66b87f517c4c459da8457ddf422631af": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "66de2fff42134725829afc2f1ce390c7": { "model_module": "@jupyter-widgets/output", "model_module_version": "1.0.0", "model_name": "OutputModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/output", "_model_module_version": "1.0.0", "_model_name": "OutputModel", "_view_count": null, "_view_module": "@jupyter-widgets/output", "_view_module_version": "1.0.0", "_view_name": "OutputView", "layout": "IPY_MODEL_8e3a43548b4946eba0496ee61a3a73e9", "msg_id": "", "outputs": [ { "data": { "text/html": "
% done (field decay = 1.36e-06) ━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 16% -:--:--\n% done (field decay = 1.36e-06) ━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 16% -:--:--\n", "text/plain": "\r\u001b[2K% done (field decay = 1.36e-06) \u001b[38;2;249;38;114m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m 16%\u001b[0m \u001b[36m-:--:--\u001b[0m\n% done (field decay = 1.36e-06) \u001b[38;2;249;38;114m━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m 16%\u001b[0m \u001b[36m-:--:--\u001b[0m" }, "metadata": {}, "output_type": "display_data" } ], "tabbable": null, "tooltip": null } }, "6dbe2619ad9e4b9a9c2a2ff7f60cdd5c": { "model_module": "@jupyter-widgets/output", "model_module_version": "1.0.0", "model_name": "OutputModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/output", "_model_module_version": "1.0.0", "_model_name": "OutputModel", "_view_count": null, "_view_module": "@jupyter-widgets/output", "_view_module_version": "1.0.0", "_view_name": "OutputView", "layout": "IPY_MODEL_0eb78325785f40ea8fa784155a17da02", "msg_id": "", "outputs": [ { "data": { "text/html": "
🚶 Finishing 'straight waveguide'...\n🚶 Finishing 'straight waveguide'...\n", "text/plain": "\r\u001b[2K\u001b[32m🚶 \u001b[0m \u001b[1;32mFinishing 'straight waveguide'...\u001b[0m\n\u001b[32m🚶 \u001b[0m \u001b[1;32mFinishing 'straight waveguide'...\u001b[0m" }, "metadata": {}, "output_type": "display_data" } ], "tabbable": null, "tooltip": null } }, "889544eb2c824a2fa33e89bcd1096441": { "model_module": "@jupyter-widgets/output", "model_module_version": "1.0.0", "model_name": "OutputModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/output", "_model_module_version": "1.0.0", "_model_name": "OutputModel", "_view_count": null, "_view_module": "@jupyter-widgets/output", "_view_module_version": "1.0.0", "_view_name": "OutputView", "layout": "IPY_MODEL_5e62d528e5d449f2a0a560fe3cff48f4", "msg_id": "", "outputs": [ { "data": { "text/html": "
↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 95.3% • 7.9/8.3 MB • 7.6 MB/s • 0:00:01\n↓ monitor_data.hdf5 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 95.3% • 7.9/8.3 MB • 7.6 MB/s • 0:00:01\n", "text/plain": "\r\u001b[2K\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m \u001b[35m95.3%\u001b[0m • \u001b[32m7.9/8.3 MB\u001b[0m • \u001b[31m7.6 MB/s\u001b[0m • \u001b[36m0:00:01\u001b[0m\n\u001b[1;32m↓\u001b[0m \u001b[1;34mmonitor_data.hdf5\u001b[0m \u001b[38;2;249;38;114m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[38;5;237m╺\u001b[0m\u001b[38;5;237m━\u001b[0m \u001b[35m95.3%\u001b[0m • \u001b[32m7.9/8.3 MB\u001b[0m • \u001b[31m7.6 MB/s\u001b[0m • \u001b[36m0:00:01\u001b[0m" }, "metadata": {}, "output_type": "display_data" } ], "tabbable": null, "tooltip": null } }, "8afccd048afe4a8e83d05b62cf4ce956": { "model_module": "@jupyter-widgets/output", "model_module_version": "1.0.0", "model_name": "OutputModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/output", "_model_module_version": "1.0.0", "_model_name": "OutputModel", "_view_count": null, "_view_module": "@jupyter-widgets/output", "_view_module_version": "1.0.0", "_view_name": "OutputView", "layout": "IPY_MODEL_3473095f0cf44436ab787a4fe0bda28a", "msg_id": "", "outputs": [ { "data": { "text/html": "
↑ simulation.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0% • 0.0/5.3 kB • ? • -:--:--\n↑ simulation.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0% • 0.0/5.3 kB • ? • -:--:--\n", "text/plain": "\r\u001b[2K\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.json\u001b[0m \u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m0.0%\u001b[0m • \u001b[32m0.0/5.3 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m-:--:--\u001b[0m\n\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.json\u001b[0m \u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m0.0%\u001b[0m • \u001b[32m0.0/5.3 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m-:--:--\u001b[0m" }, "metadata": {}, "output_type": "display_data" } ], "tabbable": null, "tooltip": null } }, "8e3a43548b4946eba0496ee61a3a73e9": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "8e5d0e3f9af54d219c9117669c769e63": { "model_module": "@jupyter-widgets/output", "model_module_version": "1.0.0", "model_name": "OutputModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/output", "_model_module_version": "1.0.0", "_model_name": "OutputModel", "_view_count": null, "_view_module": "@jupyter-widgets/output", "_view_module_version": "1.0.0", "_view_name": "OutputView", "layout": "IPY_MODEL_66b87f517c4c459da8457ddf422631af", "msg_id": "", "outputs": [ { "data": { "text/html": "
↑ simulation.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0% • 0.0/5.5 kB • ? • -:--:--\n↑ simulation.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0% • 0.0/5.5 kB • ? • -:--:--\n", "text/plain": "\r\u001b[2K\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.json\u001b[0m \u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m0.0%\u001b[0m • \u001b[32m0.0/5.5 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m-:--:--\u001b[0m\n\u001b[1;31m↑\u001b[0m \u001b[1;34msimulation.json\u001b[0m \u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m0.0%\u001b[0m • \u001b[32m0.0/5.5 kB\u001b[0m • \u001b[31m?\u001b[0m • \u001b[36m-:--:--\u001b[0m" }, "metadata": {}, "output_type": "display_data" } ], "tabbable": null, "tooltip": null } }, "9706b6add27c44589de2d28977ff1286": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "abe3efd73f7d4578a0f90c45ca648663": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "b23bd9d6af2541c2a7528ded2d2e213e": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "bf93905723834a5ab63159d07116a2ac": { "model_module": "@jupyter-widgets/output", "model_module_version": "1.0.0", "model_name": "OutputModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/output", "_model_module_version": "1.0.0", "_model_name": "OutputModel", "_view_count": null, "_view_module": "@jupyter-widgets/output", "_view_module_version": "1.0.0", "_view_name": "OutputView", "layout": "IPY_MODEL_b23bd9d6af2541c2a7528ded2d2e213e", "msg_id": "", "outputs": [ { "data": { "text/html": "
% done (field decay = 6.16e-06) ━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 12% -:--:--\n% done (field decay = 6.16e-06) ━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 12% -:--:--\n", "text/plain": "\r\u001b[2K% done (field decay = 6.16e-06) \u001b[38;2;249;38;114m━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m\u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m 12%\u001b[0m \u001b[36m-:--:--\u001b[0m\n% done (field decay = 6.16e-06) \u001b[38;2;249;38;114m━━━━\u001b[0m\u001b[38;2;249;38;114m╸\u001b[0m\u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[35m 12%\u001b[0m \u001b[36m-:--:--\u001b[0m" }, "metadata": {}, "output_type": "display_data" } ], "tabbable": null, "tooltip": null } }, "eb73cc4147034e098fbf2c0e99889e07": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "f4e2539436914658b8c9501b723bee0f": { "model_module": "@jupyter-widgets/output", "model_module_version": "1.0.0", "model_name": "OutputModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/output", "_model_module_version": "1.0.0", "_model_name": "OutputModel", "_view_count": null, "_view_module": "@jupyter-widgets/output", "_view_module_version": "1.0.0", "_view_name": "OutputView", "layout": "IPY_MODEL_eb73cc4147034e098fbf2c0e99889e07", "msg_id": "", "outputs": [ { "data": { "text/html": "
🚶 Starting 'straight waveguide'...\n🚶 Starting 'straight waveguide'...\n", "text/plain": "\r\u001b[2K\u001b[32m🚶 \u001b[0m \u001b[1;32mStarting 'straight waveguide'...\u001b[0m\n\u001b[32m🚶 \u001b[0m \u001b[1;32mStarting 'straight waveguide'...\u001b[0m" }, "metadata": {}, "output_type": "display_data" } ], "tabbable": null, "tooltip": null } } }, "version_major": 2, "version_minor": 0 } } }, "nbformat": 4, "nbformat_minor": 5 }