CavityFOM.ipynb

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    "# Cavity quality factor, effective mode volume, and Purcell factor\n",
    "\n",
    "In this notebook, we will walk through the process of calculating the quality factor ($Q$), the effective mode volume ($V_{eff}$), and the Purcell factor ($F_{p}$) of a L3 photonic crystal (PhC) nanocavity. We start by using the [Resonance Finder](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.resonance.ResonanceFinder.html#tidy3d.plugins.resonance.ResonanceFinder.html) plugin to find the L3 PhC cavity fundamental resonance and extract its information. For those not familiar with the `Resonance Finder`, detailed information is available in [Extracting resonance information using Resonance Finder](https://www.flexcompute.com/tidy3d/examples/notebooks/ResonanceFinder/), [Optimized photonic crystal L3 cavity](https://www.flexcompute.com/tidy3d/examples/notebooks/OptimizedL3/), or [Band structure calculation of a photonic crystal slab](https://www.flexcompute.com/tidy3d/examples/notebooks/Bandstructure/) notebooks. Then, we show how to estimate the cavity effective mode volume from the frequency-domain fields. Lastly, the Purcell factor is calculated from the quality factor and the mode effective volume.\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/tidy3d/learning-center/fdtd101/) tutorials. \n",
    "\n",
    "## References\n",
    "`[1] Peter Lodahl, Sahand Mahmoodian, and Søren Stobbe, \"Interfacing single photons and single quantum dots with photonic nanostructures,\" Rev. Mod. Phys. 87, 347 (2015)` [DOI: 10.1103/RevModPhys.87.347](<https://doi.org/10.1103/RevModPhys.87.347>)\n",
    "\n",
    "`[2] R. Coccioli, M. Boroditsky, K.W. Kim, Y. Rahmat-Samii, and E. Yablonovitch, \"Smallest possible electromagnetic mode volume in a dielectric cavity,\"  IEE Proceedings - Optoelectronics 145(6), 391 – 397 (1998)` [DOI: 10.1049/ip-opt:19982468](<https://doi.org/10.1049/ip-opt:19982468>)\n",
    "\n",
    "`[3] P. T. Kristensen, C. Van Vlack, and S. Hughes, \"Generalized effective mode volume for leaky optical cavities,\" Opt. Lett. 37, 1649-1651 (2012)` [DOI: 10.1364/OL.37.001649](<https://doi.org/10.1364/OL.37.001649>)\n",
    "\n",
    "`[4] Y. Xu, J. S. Vučković, R. K. Lee, O. J. Painter, A. Scherer, and A. Yariv, \"Finite-difference time-domain calculation of spontaneous emission lifetime in a microcavity,\" J. Opt. Soc. Am. B 16, 465-474 (1999)` [DOI: 10.1364/JOSAB.16.000465](<https://doi.org/10.1364/JOSAB.16.000465>)"
   ]
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   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
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   "source": [
    "# Standard python imports.\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Tidy3D imports.\n",
    "import tidy3d as td\n",
    "import tidy3d.web as web\n",
    "from tidy3d.plugins.resonance import ResonanceFinder"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## PhC L3 Cavity Set Up\n",
    "To illustrate the calculation of cavity quality factor, effective mode volume, and Purcell factor, we will build an L3 PhC nanocavity. The cavity parameters were obtained from Fig. 23 of `[1]`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total runtime = 5.52 ps\n",
      "Start monitoring fields after 0.55 ps\n"
     ]
    }
   ],
   "source": [
    "# PhC nanocavity geometry.\n",
    "a = 0.240\n",
    "r = 0.3 * a\n",
    "t = 0.6 * a\n",
    "r_1 = 0.24 * a\n",
    "d_1 = 0.16 * a\n",
    "n_x = 21\n",
    "n_y = 17\n",
    "\n",
    "# PhC nanocavity material.\n",
    "n = 3.46\n",
    "mat_slab = td.Medium(permittivity=n**2)\n",
    "mat_hole = td.Medium(permittivity=1)\n",
    "\n",
    "# Simulation wavelength.\n",
    "wl_min = 0.90\n",
    "wl_max = 0.92\n",
    "n_wl = 21\n",
    "wl_c = (wl_min + wl_max) / 2\n",
    "wl_range = np.linspace(wl_min, wl_max, n_wl)\n",
    "freq_c = td.C_0 / wl_c\n",
    "freq_range = td.C_0 / wl_range\n",
    "freq_bw = 0.5 * (freq_range[0] - freq_range[-1])\n",
    "\n",
    "# Simulation runtime.\n",
    "runtime_fwidth = 20.0  # In units of 1/frequency bandwidth of the source.\n",
    "t_start_fwidth = 2.0  # Time to start monitoring after source has decayed, units of 1/frequency bandwidth.\n",
    "run_time = runtime_fwidth / freq_bw\n",
    "t_start = t_start_fwidth / freq_bw\n",
    "print(f\"Total runtime = {(run_time*1e12):.2f} ps\")\n",
    "print(f\"Start monitoring fields after {(t_start*1e12):.2f} ps\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following function was adapted from the notebook [Defining common photonic crystal structures](https://www.flexcompute.com/tidy3d/examples/notebooks/PhotonicCrystalsComponents.html) and is employed to create the L3 PhC nanocavity holes."
   ]
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  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def hex_l_cavity(\n",
    "    R: float = 0.26,\n",
    "    side_R: float = 0.1,\n",
    "    del_R: float = 0.0,\n",
    "    spacing_x: float = 0,\n",
    "    spacing_y: float = 0,\n",
    "    n_x: int = 34,\n",
    "    n_y: int = 17,\n",
    "    height: float = 0.22,\n",
    "    mat_hole: td.Medium = td.Medium(permittivity=1),\n",
    ") -> td.Structure:\n",
    "    # parameters\n",
    "    # ------------------------------------------------------------\n",
    "    # R: radius of the cylinders (um)\n",
    "    # side_R: radii of the two ends of the L-cavity (um)\n",
    "    # del_R: shift of the two ends of the L-cavity (um)\n",
    "    # spacing_x: distance between centers of cylinders in x direction (um)\n",
    "    # spacing_y: distance between centers of cylinders in y direction (um)\n",
    "    # n_x: number of cylinders in x direction\n",
    "    # n_y: number of cylinders in y direction\n",
    "    # height: height of cylinders\n",
    "    # mat_hole: medium of the PhC cylinders\n",
    "\n",
    "    x0 = 0  # x coordinate of center of the array (um).\n",
    "    y0 = 0  # y coordinate of center of the array (um).\n",
    "    z0 = 0  # z coordinate of center of the array (um).\n",
    "    l_number = 3  # Number of cylinders removed from center (along x direction).\n",
    "    reference_plane = \"bottom\"  # Reference plane.\n",
    "    sidewall_angle = 0  # Angle slant of cylinders.\n",
    "    axis = 2  # Cylinders axis.\n",
    "\n",
    "    cylinders = []\n",
    "    if n_y % 2 == 0:\n",
    "        n_y -= 1  # only odd numbers for n_y work for symmetry\n",
    "\n",
    "    n_middle = n_x - n_x % 2 + l_number % 2\n",
    "\n",
    "    for i in range(-(n_y // 2), n_y // 2 + 1):  # go up columns\n",
    "        n_row = (\n",
    "            n_middle + (i % 2) * (-1) ** l_number\n",
    "        )  # calculates number of cylinders in current row\n",
    "        for j in range(-n_row + 1, n_row + 1, 2):  # go along rows\n",
    "            if i != 0 or abs(j) > l_number:  # don't populate cavity with cylinders\n",
    "                var_radius = R\n",
    "                shift_x = 0\n",
    "                if i == 0 and (\n",
    "                    abs(j) == l_number + 1\n",
    "                ):  # checks if cylinder is on side of cavity\n",
    "                    var_radius = side_R\n",
    "                    shift_x = del_R * np.sign(j)\n",
    "                c = td.Cylinder(\n",
    "                    axis=axis,\n",
    "                    sidewall_angle=sidewall_angle,\n",
    "                    reference_plane=reference_plane,\n",
    "                    radius=var_radius,\n",
    "                    center=(x0 + j * spacing_x + shift_x, y0 + i * spacing_y, z0),\n",
    "                    length=height,\n",
    "                )\n",
    "                cylinders.append(c)\n",
    "    structure = td.Structure(\n",
    "        geometry=td.GeometryGroup(geometries=cylinders), medium=mat_hole\n",
    "    )\n",
    "    return structure"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we will define the PhC structure. We consider a hexagonal lattice to calculate the periodicity in `x`- and `y`-directions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# PhC periodicity\n",
    "p_x = a * np.cos(60 * np.pi / 180)\n",
    "p_y = a * np.sin(60 * np.pi / 180)\n",
    "\n",
    "# Simulation size.\n",
    "pml_gap = 0.6 * wl_max\n",
    "size_x = 2 * n_x * p_x\n",
    "size_y = n_y * p_y\n",
    "size_z = t + 2 * pml_gap\n",
    "_inf = 10\n",
    "\n",
    "# PhC slab.\n",
    "phc_slab = td.Structure(\n",
    "    geometry=td.Box.from_bounds(\n",
    "        rmin=(-_inf - size_x / 2, -_inf - size_y / 2, -t / 2),\n",
    "        rmax=(+_inf + size_x / 2, +_inf + size_y / 2, +t / 2),\n",
    "    ),\n",
    "    medium=mat_slab,\n",
    ")\n",
    "\n",
    "# PhC holes.\n",
    "phc_holes = hex_l_cavity(\n",
    "    R=r,\n",
    "    side_R=r_1,\n",
    "    del_R=d_1,\n",
    "    spacing_x=p_x,\n",
    "    spacing_y=p_y,\n",
    "    n_x=n_x,\n",
    "    n_y=n_y,\n",
    "    height=t,\n",
    "    mat_hole=mat_hole,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will include a point dipole at the center of the simulation domain to excite only the fundamental L3 PhC nanocavity mode. The [Resonance Finder](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.resonance.ResonanceFinder.html#tidy3d.plugins.resonance.ResonanceFinder.html) plugin needs at least one `FieldTimeMonitor` to record the field as a function of time. Importantly, we start the monitors after the source pulse has decayed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Point dipole source.\n",
    "pulse = td.GaussianPulse(freq0=freq_c, fwidth=freq_bw)\n",
    "dip_source = td.PointDipole(\n",
    "    source_time=pulse,\n",
    "    center=(0, 0, 0),\n",
    "    polarization=\"Ey\",\n",
    "    name=\"dip_source\",\n",
    ")\n",
    "\n",
    "# Field time monitor.\n",
    "mon_fieldtime = td.FieldTimeMonitor(\n",
    "    fields=[\"Ey\"],\n",
    "    center=(0, 0, 0),\n",
    "    size=(0, 0, 0),\n",
    "    start=t_start,\n",
    "    name=\"monitor_time\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the simulation, we will include a 3D `FieldMonitor` to calculate the cavity effective mode volume. We have obtained the resonance frequency from a previous simulation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Mode resonance frequency.\n",
    "mode_freq = freq_c\n",
    "\n",
    "# Apodization to exclude the source pulse from the frequency-domain monitors.\n",
    "apod = td.ApodizationSpec(start=t_start, width=t_start/10)\n",
    "\n",
    "# Field monitor.\n",
    "mon_box = td.Box(center=(0, 0, 0), size=(size_x / 2, size_y / 2, 4 * t))\n",
    "mon_field = td.FieldMonitor(\n",
    "    center=mon_box.center,\n",
    "    size=mon_box.size,\n",
    "    freqs=mode_freq,\n",
    "    name=\"field_vol\",\n",
    "    colocate=False,\n",
    "    apodization=apod,\n",
    ")\n",
    "\n",
    "eps_mon = td.PermittivityMonitor(center = mon_box.center,\n",
    "                                 size = mon_box.size,\n",
    "                                 freqs = mode_freq,\n",
    "                                 name = 'eps_mon',\n",
    "                                 colocate=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we can build and run the simulation. It is worth mentioning that we set `shutoff=0` to run the simulation only for the `run_time` period. Otherwise, the simulation can take a very long time for the fields to decay fully."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
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[2.5200000000000005, 1.7666918237202547, 0.576], &quot;name&quot;: &quot;field_vol&quot;, &quot;interval_space&quot;: [1, 1, 1], &quot;colocate&quot;: false, &quot;freqs&quot;: [329442261538461.5], &quot;apodization&quot;: {&quot;attrs&quot;: {}, &quot;start&quot;: 5.52382141648136e-13, &quot;end&quot;: null, &quot;width&quot;: 5.5238214164813604e-14, &quot;type&quot;: &quot;ApodizationSpec&quot;}, &quot;fields&quot;: [&quot;Ex&quot;, &quot;Ey&quot;, &quot;Ez&quot;, &quot;Hx&quot;, &quot;Hy&quot;, &quot;Hz&quot;]}, {&quot;attrs&quot;: {}, &quot;type&quot;: &quot;PermittivityMonitor&quot;, &quot;center&quot;: [0.0, 0.0, 0.0], &quot;size&quot;: [2.5200000000000005, 1.7666918237202547, 0.576], &quot;name&quot;: &quot;eps_mon&quot;, &quot;interval_space&quot;: [1, 1, 1], &quot;colocate&quot;: false, &quot;freqs&quot;: [329442261538461.5], &quot;apodization&quot;: {&quot;attrs&quot;: {}, &quot;start&quot;: null, &quot;end&quot;: null, &quot;width&quot;: null, &quot;type&quot;: &quot;ApodizationSpec&quot;}}], &quot;grid_spec&quot;: {&quot;attrs&quot;: {}, &quot;grid_x&quot;: {&quot;attrs&quot;: {}, &quot;type&quot;: &quot;AutoGrid&quot;, &quot;min_steps_per_wvl&quot;: 20.0, &quot;max_scale&quot;: 1.4, &quot;dl_min&quot;: 0.0, &quot;mesher&quot;: {&quot;attrs&quot;: {}, &quot;type&quot;: &quot;GradedMesher&quot;}}, &quot;grid_y&quot;: {&quot;attrs&quot;: {}, &quot;type&quot;: &quot;AutoGrid&quot;, &quot;min_steps_per_wvl&quot;: 20.0, &quot;max_scale&quot;: 1.4, &quot;dl_min&quot;: 0.0, &quot;mesher&quot;: {&quot;attrs&quot;: {}, &quot;type&quot;: &quot;GradedMesher&quot;}}, &quot;grid_z&quot;: {&quot;attrs&quot;: {}, &quot;type&quot;: &quot;AutoGrid&quot;, &quot;min_steps_per_wvl&quot;: 20.0, &quot;max_scale&quot;: 1.4, &quot;dl_min&quot;: 0.0, &quot;mesher&quot;: {&quot;attrs&quot;: {}, &quot;type&quot;: &quot;GradedMesher&quot;}}, &quot;wavelength&quot;: 0.91, &quot;override_structures&quot;: [], &quot;snapping_points&quot;: [], &quot;type&quot;: &quot;GridSpec&quot;}, &quot;version&quot;: &quot;2.7.1&quot;, &quot;lumped_elements&quot;: [], &quot;subpixel&quot;: {&quot;attrs&quot;: {}, &quot;dielectric&quot;: {&quot;attrs&quot;: {}, &quot;type&quot;: &quot;PolarizedAveraging&quot;}, &quot;metal&quot;: {&quot;attrs&quot;: {}, &quot;type&quot;: &quot;Staircasing&quot;}, &quot;pec&quot;: {&quot;attrs&quot;: {}, &quot;type&quot;: &quot;PECConformal&quot;, &quot;timestep_reduction&quot;: 0.3}, &quot;type&quot;: &quot;SubpixelSpec&quot;}, &quot;courant&quot;: 0.99, &quot;normalize_index&quot;: null, &quot;shutoff&quot;: 0.0, &quot;run_time&quot;: 5.52382141648136e-12}\" />\n",
       "    <script>\n",
       "        \n",
       "        /**\n",
       "        * Simulation Viewer Injector\n",
       "        *\n",
       "        * Monitors the document for elements being added in the form:\n",
       "        *\n",
       "        *    <div class=\"simulation-viewer\" data-width=\"800\" data-height=\"800\" data-simulation=\"{...}\" />\n",
       "        *\n",
       "        * This script will then inject an iframe to the viewer application, and pass it the simulation data\n",
       "        * via the postMessage API on request. The script may be safely included multiple times, with only the\n",
       "        * configuration of the first started script (e.g. viewer URL) applying.\n",
       "        *\n",
       "        */\n",
       "        (function() {\n",
       "            const TARGET_CLASS = \"simulation-viewer\";\n",
       "            const ACTIVE_CLASS = \"simulation-viewer-active\";\n",
       "            const VIEWER_URL = \"https://feature-simulation-viewer.d3a9gfg7glllfq.amplifyapp.com/simulation-viewer\";\n",
       "\n",
       "            class SimulationViewerInjector {\n",
       "                constructor() {\n",
       "                    for (var node of document.getElementsByClassName(TARGET_CLASS)) {\n",
       "                        this.injectViewer(node);\n",
       "                    }\n",
       "\n",
       "                    // Monitor for newly added nodes to the DOM\n",
       "                    this.observer = new MutationObserver(this.onMutations.bind(this));\n",
       "                    this.observer.observe(document.body, {childList: true, subtree: true});\n",
       "                }\n",
       "\n",
       "                onMutations(mutations) {\n",
       "                    for (var mutation of mutations) {\n",
       "                        if (mutation.type === 'childList') {\n",
       "                            /**\n",
       "                            * Have found that adding the element does not reliably trigger the mutation observer.\n",
       "                            * It may be the case that setting content with innerHTML does not trigger.\n",
       "                            *\n",
       "                            * It seems to be sufficient to re-scan the document for un-activated viewers\n",
       "                            * whenever an event occurs, as Jupyter triggers multiple events on cell evaluation.\n",
       "                            */\n",
       "                            var viewers = document.getElementsByClassName(TARGET_CLASS);\n",
       "                            for (var node of viewers) {\n",
       "                                this.injectViewer(node);\n",
       "                            }\n",
       "                        }\n",
       "                    }\n",
       "                }\n",
       "\n",
       "                injectViewer(node) {\n",
       "                    // (re-)check that this is a valid simulation container and has not already been injected\n",
       "                    if (node.classList.contains(TARGET_CLASS) && !node.classList.contains(ACTIVE_CLASS)) {\n",
       "                        // Mark node as injected, to prevent re-runs\n",
       "                        node.classList.add(ACTIVE_CLASS);\n",
       "\n",
       "                        var uuid;\n",
       "                        if (window.crypto && window.crypto.randomUUID) {\n",
       "                            uuid = window.crypto.randomUUID();\n",
       "                        } else {\n",
       "                            uuid = \"\" + Math.random();\n",
       "                        }\n",
       "\n",
       "                        var frame = document.createElement(\"iframe\");\n",
       "                        frame.width = node.dataset.width || 800;\n",
       "                        frame.height = node.dataset.height || 800;\n",
       "                        frame.src = VIEWER_URL + \"?uuid=\" + uuid;\n",
       "\n",
       "                        var postMessageToViewer;\n",
       "                        postMessageToViewer = event => {{\n",
       "                            if(event.data.type === 'viewer' && event.data.uuid===uuid){{\n",
       "                                var simulation = JSON.parse(node.dataset.simulation);\n",
       "                                frame.contentWindow.postMessage({ type: 'jupyter', uuid, value: simulation}, '*');\n",
       "\n",
       "                                // Run once only\n",
       "                                window.removeEventListener('message', postMessageToViewer);\n",
       "                            }}\n",
       "                        }};\n",
       "                        window.addEventListener(\n",
       "                            'message',\n",
       "                            postMessageToViewer,\n",
       "                            false\n",
       "                        );\n",
       "\n",
       "                        node.appendChild(frame);\n",
       "                    }\n",
       "                }\n",
       "            }\n",
       "\n",
       "            if (!window.simulationViewerInjector) {\n",
       "                window.simulationViewerInjector = new SimulationViewerInjector();\n",
       "            }\n",
       "        })();\n",
       "    \n",
       "    </script>\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim = td.Simulation(\n",
    "    center=(0, 0, 0),\n",
    "    size=(size_x, size_y, size_z),\n",
    "    grid_spec=td.GridSpec.auto(wavelength=wl_c, min_steps_per_wvl=20),\n",
    "    structures=[phc_slab, phc_holes],\n",
    "    sources=[dip_source],\n",
    "    monitors=[mon_fieldtime, mon_field,eps_mon],\n",
    "    run_time=run_time,\n",
    "    shutoff=0,\n",
    "    boundary_spec=td.BoundarySpec.all_sides(boundary=td.PML()),\n",
    "    normalize_index=None,\n",
    "    symmetry=(1, -1, 1),\n",
    ")\n",
    "\n",
    "sim.plot_3d(width=400, height=400)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Before running the simulation, let's look at the source and monitor positions to certify we are measuring the fields after the sources have fully decayed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2) = plt.subplots(1, 2, tight_layout=True, figsize=(12, 5))\n",
    "sim.plot(z=0.0, ax=ax1)\n",
    "\n",
    "plot_time = 3 / freq_bw\n",
    "sim.sources[0].source_time.plot(\n",
    "    times=np.linspace(0, plot_time, 1001), val=\"abs\", ax=ax2\n",
    ")\n",
    "ax2.set_xlim(0, plot_time)\n",
    "ax2.vlines(t_start, 0, 1, linewidth=2, color=\"g\", alpha=0.4)\n",
    "ax2.legend([\"source\", \"start time\"])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let's run the simulation!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:57:35 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Structure at structures</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">[</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">]</span><span style=\"color: #800000; text-decoration-color: #800000\"> was detected as being less than</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">half of a central wavelength from a PML on side x-min. To avoid    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">inaccurate results or divergence, please increase gap between any  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">structures and PML or fully extend structure through the pml.      </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:57:35 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Structure at structures\u001b[0m\u001b[1;31m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m]\u001b[0m\u001b[31m was detected as being less than\u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mhalf of a central wavelength from a PML on side x-min. To avoid    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31minaccurate results or divergence, please increase gap between any  \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mstructures and PML or fully extend structure through the pml.      \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Suppressed </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span><span style=\"color: #800000; text-decoration-color: #800000\"> WARNING messages.                            </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Suppressed \u001b[0m\u001b[1;36m3\u001b[0m\u001b[31m WARNING messages.                            \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'l3_nanocavity'</span> with task_id                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-59059c30-b79b-44e8-ba8e-fe996e7f2bcf'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'l3_nanocavity'\u001b[0m with task_id                          \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-59059c30-b79b-44e8-ba8e-fe996e7f2bcf'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-59059c30-b79b-44e8-ba8e-fe996e7f2bcf\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-59059c30-b79</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-59059c30-b79b-44e8-ba8e-fe996e7f2bcf\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">b-44e8-ba8e-fe996e7f2bcf'</span></a>.                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=91320;https://tidy3d.simulation.cloud/workbench?taskId=fdve-59059c30-b79b-44e8-ba8e-fe996e7f2bcf\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=26514;https://tidy3d.simulation.cloud/workbench?taskId=fdve-59059c30-b79b-44e8-ba8e-fe996e7f2bcf\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=91320;https://tidy3d.simulation.cloud/workbench?taskId=fdve-59059c30-b79b-44e8-ba8e-fe996e7f2bcf\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=485035;https://tidy3d.simulation.cloud/workbench?taskId=fdve-59059c30-b79b-44e8-ba8e-fe996e7f2bcf\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=91320;https://tidy3d.simulation.cloud/workbench?taskId=fdve-59059c30-b79b-44e8-ba8e-fe996e7f2bcf\u001b\\\u001b[32m-59059c30-b79\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=91320;https://tidy3d.simulation.cloud/workbench?taskId=fdve-59059c30-b79b-44e8-ba8e-fe996e7f2bcf\u001b\\\u001b[32mb-44e8-ba8e-fe996e7f2bcf'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "82a610fe6def4eb19e1bc25e2b4a1c34",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:57:37 -03 </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:57:37 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \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>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \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 web UI.      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \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              \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 web UI.      \n",
       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "fd331aaab2ab4fbaa8e695c0f3fe1688",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:57:42 -03 </span>status = preprocess                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:57:42 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:57:44 -03 </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.086</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>the billed FlexCredit cost after a simulation run.                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:57:44 -03\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.086\u001b[0m. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get\n",
       "\u001b[2;36m             \u001b[0mthe billed FlexCredit cost after a simulation run.                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \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>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:59:14 -03 </span>status = postprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:59:14 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5286a6dfb4a940f1bbfadb2fec162134",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:59:17 -03 </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:59:17 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View simulation result at                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-59059c30-b79b-44e8-ba8e-fe996e7f2bcf\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-59059c30-b79</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-59059c30-b79b-44e8-ba8e-fe996e7f2bcf\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">b-44e8-ba8e-fe996e7f2bcf'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=45718;https://tidy3d.simulation.cloud/workbench?taskId=fdve-59059c30-b79b-44e8-ba8e-fe996e7f2bcf\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=323447;https://tidy3d.simulation.cloud/workbench?taskId=fdve-59059c30-b79b-44e8-ba8e-fe996e7f2bcf\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=45718;https://tidy3d.simulation.cloud/workbench?taskId=fdve-59059c30-b79b-44e8-ba8e-fe996e7f2bcf\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=995236;https://tidy3d.simulation.cloud/workbench?taskId=fdve-59059c30-b79b-44e8-ba8e-fe996e7f2bcf\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=45718;https://tidy3d.simulation.cloud/workbench?taskId=fdve-59059c30-b79b-44e8-ba8e-fe996e7f2bcf\u001b\\\u001b[4;34m-59059c30-b79\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m             \u001b[0m\u001b]8;id=45718;https://tidy3d.simulation.cloud/workbench?taskId=fdve-59059c30-b79b-44e8-ba8e-fe996e7f2bcf\u001b\\\u001b[4;34mb-44e8-ba8e-fe996e7f2bcf'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "54b33124bac545198aa906425c0734bd",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">14:59:21 -03 </span>loading simulation from data/simulation_data.hdf5                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m14:59:21 -03\u001b[0m\u001b[2;36m \u001b[0mloading simulation from data/simulation_data.hdf5                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Structure at structures</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">[</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">]</span><span style=\"color: #800000; text-decoration-color: #800000\"> was detected as being less than</span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">half of a central wavelength from a PML on side x-min. To avoid    </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">inaccurate results or divergence, please increase gap between any  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">structures and PML or fully extend structure through the pml.      </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Structure at structures\u001b[0m\u001b[1;31m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;31m]\u001b[0m\u001b[31m was detected as being less than\u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mhalf of a central wavelength from a PML on side x-min. To avoid    \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31minaccurate results or divergence, please increase gap between any  \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31mstructures and PML or fully extend structure through the pml.      \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Suppressed </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span><span style=\"color: #800000; text-decoration-color: #800000\"> WARNING messages.                            </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Suppressed \u001b[0m\u001b[1;36m3\u001b[0m\u001b[31m WARNING messages.                            \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Warning messages were found in the solver log. For more   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">information, check </span><span style=\"color: #008000; text-decoration-color: #008000\">'SimulationData.log'</span><span style=\"color: #800000; text-decoration-color: #800000\"> or use                     </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.download_log(task_id)'</span><span style=\"color: #800000; text-decoration-color: #800000\">.                                       </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Warning messages were found in the solver log. For more   \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[31minformation, check \u001b[0m\u001b[32m'SimulationData.log'\u001b[0m\u001b[31m or use                     \u001b[0m\n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'web.download_log\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m\u001b[31m.                                       \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "job = web.Job(simulation=sim, task_name=\"l3_nanocavity\", verbose=True)\n",
    "sim_data = job.run(path=\"data/simulation_data.hdf5\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cavity Field Distribution\n",
    "After running the simulation, we can obtain the frequency-domain fields to see what the cavity mode looks like. It is worth mentioning that frequency-domain results are considered accurate only if we run the simulation until the time-domain fields completely decays within the monitor region."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2) = plt.subplots(1, 2, tight_layout=True, figsize=(12, 4))\n",
    "\n",
    "sim_data.plot_field(\"field_vol\", \"E\", \"abs\", z=0, ax=ax1)\n",
    "sim_data.plot_field(\"field_vol\", \"Ey\", \"real\", z=0, ax=ax2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Quality Factor\n",
    "Now, we can analyze the simulation data and calculate the resonance information from the time domain fields. The `run()` method returns an `xr.Dataset` containing the decay rate, Q-factor, amplitude, phase, and estimation error.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>decay</th>\n",
       "      <th>Q</th>\n",
       "      <th>amplitude</th>\n",
       "      <th>phase</th>\n",
       "      <th>error</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3.297079e+14</th>\n",
       "      <td>1.084911e+10</td>\n",
       "      <td>95474.033937</td>\n",
       "      <td>144156.983344</td>\n",
       "      <td>-2.012653</td>\n",
       "      <td>0.000034</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     decay             Q      amplitude     phase     error\n",
       "freq                                                                       \n",
       "3.297079e+14  1.084911e+10  95474.033937  144156.983344 -2.012653  0.000034"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resonance_finder = ResonanceFinder(freq_window=(freq_range[-1], freq_range[0]))\n",
    "resonance_data = resonance_finder.run(signals=sim_data[\"monitor_time\"])\n",
    "resonance_data.to_dataframe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Within the wavelength range from 900 to 920 nm, the L3 nanocavity has only the fundamental resonance, which shows a Q-factor of \n",
    "$9.55\\times10^{4}$, very close to the value of $9.60\\times10^{4}$ reported in `[1]`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cavity Effective Mode Volume\n",
    "\n",
    "The cavity effective mode volume ($V_{eff}$) describes how efficiently the cavity concentrates the electromagnetic field in a restricted space. The $V_{eff}$ value can be calculated from the cavity mode field distribution as defined by `[2]`:\n",
    "\n",
    "$V_{eff} = \\frac{\\int\\varepsilon(r)|E(r)|^{2}d^{3}r}{max[\\varepsilon(r)|E(r)|^{2}(r)]}$,\n",
    "\n",
    "where $\\varepsilon(r)$ is the cavity permittivity distribution, which can be obtained from the simulation object. This expression for $V_{eff}$ is not strictly valid for the case of open leaky cavities supporting quasimodes `[3]`.\n",
    "\n",
    "Below, we estimate $V_{eff}$ in units of $\\mu m^{3}$, $m^{3}$, and in units of $(\\lambda/n)^{3}$ which is also commonly used. The volume integral is performed using [xarray.Dataset.integrate](https://docs.xarray.dev/en/stable/generated/xarray.Dataset.integrate.html), which conveniently integrates the integrand along the given coordinates using the trapezoidal rule. \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "V_eff = 0.014 um^3\n",
      "V_eff = 1.435e-20 m^3\n",
      "V_eff = 0.79 (lambda/n)^3\n"
     ]
    }
   ],
   "source": [
    "# Electric field.\n",
    "e_x = sim_data[\"field_vol\"].Ex.isel(f=0).values\n",
    "e_y = sim_data[\"field_vol\"].Ey.isel(f=0).values\n",
    "e_z = sim_data[\"field_vol\"].Ez.isel(f=0).values\n",
    "e_2 = np.abs(e_x) ** 2 + np.abs(e_y) ** 2 + np.abs(e_z) ** 2\n",
    "\n",
    "# Permittivity distribution.\n",
    "eps = abs(sim_data['eps_mon'].eps_xx).isel(f=0)\n",
    "\n",
    "# Calculation of effective mode volume.\n",
    "e_eps = eps * e_2\n",
    "num = e_eps.integrate(coord=(\"x\", \"y\", \"z\")).item()\n",
    "den = np.amax(e_eps)\n",
    "V_eff = (num / den).values\n",
    "\n",
    "print(f\"V_eff = {V_eff:.3f} um^3\")\n",
    "print(f\"V_eff = {V_eff / 1e18:.3e} m^3\")\n",
    "print(f\"V_eff = {V_eff / (wl_c/n)**3:.2f} (lambda/n)^3\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The result is close to the value of $0.75 (\\lambda/n)^{3}$ reported in `[1]`. We can further improve the $V_{eff}$ accuracy by reducing the source bandwidth, running the simulation longer, and choosing a finer grid mesh."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Purcell Factor\n",
    "\n",
    "As stated in `[1]`, nanophotonic cavities enable the pronounced enhancement of a single optical mode due to a substantial spatial and spectral confinement of light so that the radiative decay rate into the cavity mode $\\gamma_{cav}$ is much faster than the decay rate into all other (nonguided) modes $\\gamma_{ng}$. As usually $\\gamma_{cav} \\gg \\gamma_{ng}$, we can describe the Purcell factor as the ratio between the radiative decay rate of a dipole-like emitter into a photonic structure to the radiative rate of an identical emitter placed in a homogeneous medium of refractive index $n$, i. e., $F_{p} = \\gamma_{cav}/\\gamma_{hom}$. The Purcell factor measures the enhancement in spontaneous emission rate, and it is essential for many applications, e.g., LEDs, lasers, and single-photon sources.\n",
    "\n",
    "When dealing with low-quality factor resonances, we can calculate the Purcell factor by the ratio of the radiation power for a dipole in a cavity ($P_{cav}$) and the dipole emission power in a homogeneous dielectric material  ($P_{hom}$), i. e.,  $F_{p} = P_{cav}/P_{hom}$, as defined in `[4]`. An example of such an approach is included in this [notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/BullseyeCavityPSO/).\n",
    "\n",
    "However, when long-lived resonances are present in the FDTD simulation (this case), calculating the dipole power emission is not so practical, as we might wait for a long time until the fields decay to negligible values within the simulation domain. So, we can derive the Purcell factor as `[1]`:\n",
    "\n",
    "$F_{p}(r, \\omega, e_{d}) = F_{p}^{max} f(r) |e_{d} \\cdot e_{c}|^{2}\\frac{\\omega_{c}^{2}/4Q^{2}}{(\\omega_{c} - \\omega)^{2} + \\omega_{c}^{2}/4Q^{2}}$,\n",
    "\n",
    "where $F_{p}^{max}$ is the maximum achievable Purcell factor, $f(r)$ defines the spatial mismatch between the emitter position and the maximum cavity field amplitude, $|e_{d} \\cdot e_{c}|^{2}$ accounts for the alignment between the emitter and cavity fields, and the last term corrects for a detuning concerning the cavity resonance.\n",
    "\n",
    "When optimizing photonic cavity structures, we can usually consider an emitter in resonance and optimally placed and oriented concerning the cavity fields so that,\n",
    "\n",
    "$F_{p} = F_{p}^{max} = \\frac{3}{4\\pi^{2}}\\left(\\frac{\\lambda}{n}\\right)^{3}\\frac{Q}{V_{eff}}$.\n",
    "\n",
    "This way, we can derive the Purcell value from the cavity quality factor and effective mode volume, as below:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "F_p = 9198\n"
     ]
    }
   ],
   "source": [
    "Q = resonance_data[\"Q\"][0].values\n",
    "mode_freq = resonance_data[\"freq\"][0].values\n",
    "\n",
    "F_p = (3 / (4 * np.pi**2)) * ((wl_c / n) ** 3) * (Q / V_eff)\n",
    "print(f\"F_p = {F_p:.0f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lastly, let's see how the Purcell factor would vary under a $\\pm 50$ GHz detuning."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 700x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "w_c = 2 * np.pi * mode_freq\n",
    "detuning = 50e9\n",
    "del_w = np.linspace(-detuning * 2 * np.pi, detuning * 2 * np.pi, 2000)\n",
    "F_p_w = F_p * (w_c**2 / (4 * Q) ** 2) / (del_w**2 + (w_c**2 / (4 * Q) ** 2))\n",
    "\n",
    "fig, ax1 = plt.subplots(1, 1, tight_layout=True, figsize=(7, 4))\n",
    "\n",
    "ax1.plot(del_w * 1e-9 / (2 * np.pi), F_p_w)\n",
    "ax1.set_xlabel(\"$(\\omega_{c} - \\omega)/2 \\pi$ (GHz)\")\n",
    "ax1.set_ylabel(\"$F_{p}$\")\n",
    "ax1.set_xlim(-detuning * 1e-9, detuning * 1e-9)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "description": "This notebook demonstrates how to calculate cavity quality factor, effective mode volume, and Purcell factor in Tidy3D FDTD.",
  "feature_image": "",
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "keywords": "cavity quality factor, cavity effective mode volume, cavity mode volume, Purcell factor, FDTD cavity, FDTD resonance, FDTD quality factor, FDTD mode volume, FDTD Purcell factor, Tidy3D, FDTD",
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.7"
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  "title": "Calculating cavity quality factor, effective mode volume, and Purcell factor in Tidy3D | Flexcompute",
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        {
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