{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Particle swarm optimization of a bullseye cavity for quantum emitter light extraction\n",
    "\n",
    "**Note: the cost of running the entire notebook is higher than 10 FlexCredits.**\n",
    "\n",
    "A bullseye cavity is characterized by concentric rings of alternating dielectrics, resembling a bullseye target. It has been successfully employed to enhance the collection efficiency and decay rate of various quantum emitters, including quantum dots, defect centers in diamond, and 2D materials.\n",
    "\n",
    "In this notebook, we show how to set up a bullseye cavity simulation using Tidy3D and use Particle Swarm Optimization (PSO) to enhance the coupling efficiency from quantum emitters into the fundamental mode of an optical fiber. We will use the Tidy3D `Design` plugin to manage the PSO (which uses the free available python library [PySwarms](https://pyswarms.readthedocs.io/en/latest/index.html)) to easily create, compute and analyse the optimized bullseye cavity. For details about PSO you can see the notebook [Particle swarm optimization of a polarization beam splitter](../notebooks/ParticleSwarmOptimizedPBS.html). In addition, we show how to calculate the cavity Purcell factor, which is another important figure-of-merit within the context of cavity electrodynamics.\n",
    "\n",
    "Let's start by importing the python libraries used throughout this notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Uncomment the following line to install pyswarms if it's not installed in your environment already\n",
    "# pip install pyswarms\n",
    "\n",
    "# Standard python imports\n",
    "import matplotlib.pylab as plt\n",
    "import numpy as np\n",
    "\n",
    "# Import regular tidy3d\n",
    "import tidy3d as td\n",
    "import tidy3d.plugins.design as tdd\n",
    "import tidy3d.web as web\n",
    "from tidy3d.plugins.mode import ModeSolver\n",
    "from tidy3d.plugins.mode.web import run as run_mode_solver"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cavity Geometry and Simulation Parameters\n",
    "\n",
    "The cavity structure is inspired by `Hekmati, R., Hadden, J.P., Mathew, A. et al. Bullseye dielectric cavities for photon collection from a surface-mounted quantum-light-emitter. Sci Rep 13, 5316 (2023)` [DOI: 10.1038/s41598-023-32359-0](https://doi.org/10.1038/s41598-023-32359-0), where the authors presented a $TiO_{2}$ over $SiO_{2}$ bullseye cavity. In that work, the cavity was designed to enhance the emission from point sources, such as $WSe_{2}$ flakes, single dye molecules, and nano-diamonds, positioned just above the center of the structure. It was optimized using an iterative approach to enhance the power coupling into the numerical aperture (NA) of free-space optics and a low NA fiber.\n",
    "\n",
    "Differently from that work, here we will set up the optimization to enhance the modal coupling efficiency of the generated photons into the collection fiber. When building an optimization scheme for practical applications, more advanced optimization strategies can be implemented to include other quantities of interest—for instance, the Purcell factor, which is important within the context of devices such as single-photon sources. The following figure shows the main cavity geometric parameters.\n",
    "\n",
    "<img src=\"img/bullseye_psa_diagram.png\" alt=\"Bullseye Cavity Diagram\"  width=\"800\"/>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Initial parameters of the Bullseye cavity.\n",
    "t_tio2 = 0.200  # TiO2 thin film thickness (um).\n",
    "t_sio2 = 0.435  # SiO2 thin film thickness (um).\n",
    "r_cav = 0.835  # Radius of the internal cavity (um).\n",
    "p_bragg = 0.420  # Period of the Bragg reflector (um).\n",
    "w_bragg = 0.155  # Gap width (etched region) of the Bragg reflector (um).\n",
    "n_bragg = 8  # Number of Bragg periods.\n",
    "n_tio2 = 2.50  # TiO2 refractive index (0.75 um).\n",
    "n_sio2 = 1.45  # SiO2 refractive index (0.75 um).\n",
    "\n",
    "# Collection fiber parameters (630HP).\n",
    "r_core = 1.75  # Fiber core radius.\n",
    "n_core = 1.46  # Core refractive index.\n",
    "n_clad = 1.45  # Cladding refractive index.\n",
    "d_cf = 2.0  # Distance between the cavity and the fiber.\n",
    "\n",
    "# PSO optimization parameters.\n",
    "iterations = 15  # Number of iterations.\n",
    "n_particle = 5  # Number of particles in optimization.\n",
    "\n",
    "# Simulation wavelength.\n",
    "wl = 0.75  # Central simulation wavelength (um).\n",
    "bw = 0.06  # Simulation bandwidth (um).\n",
    "n_wl = 61  # Number of wavelength points within the bandwidth."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From the parameters defined before, a lot of variables are computed and used to set up the optimization."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Wavelengths and frequencies.\n",
    "wl_max = wl + bw / 2\n",
    "wl_min = wl - bw / 2\n",
    "wl_range = np.linspace(wl_min, wl_max, n_wl)\n",
    "freq = td.C_0 / wl\n",
    "freqs = td.C_0 / wl_range\n",
    "freqw = 0.5 * (freqs[0] - freqs[-1])\n",
    "run_time = 5e-12  # Simulation run time.\n",
    "\n",
    "# Material definition.\n",
    "mat_tio2 = td.Medium(permittivity=n_tio2**2)  # TiO2 medium.\n",
    "mat_sio2 = td.Medium(permittivity=n_sio2**2)  # SiO2 medium.\n",
    "mat_etch = td.Medium(permittivity=1)  # Etch medium.\n",
    "mat_core = td.Medium(permittivity=n_core**2)  # Fiber core medium.\n",
    "mat_clad = td.Medium(permittivity=n_clad**2)  # Fiber cladding medium.\n",
    "\n",
    "# Computational domain size.\n",
    "pml_spacing = 0.6 * wl\n",
    "eff_inf = 10"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bullseye Cavity Set Up\n",
    "\n",
    "We start with the definition of a function to build the bullseye cavity simulation. The PSO algorithm passes 6 parameters to this function, which in turn returns a simulation object. The quantum emitter is modeled as a y-oriented `PointDipole` placed at the top of the cavity surface. A `ModeMonitor` calculates the power coupled into the fiber fundamental mode, and a `FluxMonitor` gets the total dipole power. We are using a `PECBoundary` condition in the -**z** direction as a metallic reflector at the bottom of the $SiO_{2}$ layer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_simulation(\n",
    "    r: float = r_cav,  # Cavity radius.\n",
    "    p: float = p_bragg,  # Cavity period.\n",
    "    w: float = w_bragg,  # Etched width.\n",
    "    h: float = 0.0,  # Non-etched thickness with respect to TiO2 thickness.\n",
    "    tsio2: float = t_sio2,  # SiO2 layer thickness.\n",
    "    dcf: float = d_cf,  # Cavity to fiber distance.\n",
    ") -> td.Simulation:\n",
    "    \"\"\"Create a Simulation of a bullseye cavity with variable geometry and material thickness.\"\"\"\n",
    "\n",
    "    # Computational domain size.\n",
    "    size_x = 2 * pml_spacing + max(2 * (r + n_bragg * p), 2 * r_core)\n",
    "    size_y = size_x\n",
    "    size_z = pml_spacing + tsio2 + t_tio2 + dcf\n",
    "    center_z = -size_z / 2\n",
    "    qd_pos_z = tsio2 + t_tio2\n",
    "    mon_pos_z = size_z - pml_spacing / 2\n",
    "\n",
    "    # Point dipole source located at the center of TiO2 thin film.\n",
    "    dp_source = td.PointDipole(\n",
    "        center=(0, 0, qd_pos_z),\n",
    "        source_time=td.GaussianPulse(freq0=freq, fwidth=freqw),\n",
    "        polarization=\"Ey\",\n",
    "    )\n",
    "\n",
    "    # Field monitor to visualize the fields in xy plane.\n",
    "    field_monitor_xy = td.FieldMonitor(\n",
    "        center=(0, 0, qd_pos_z - t_tio2 / 2),\n",
    "        size=(size_x, size_y, 0),\n",
    "        freqs=[freq],\n",
    "        name=\"field_xy\",\n",
    "    )\n",
    "\n",
    "    # Field monitor to visualize the fields in xz plane.\n",
    "    field_monitor_xz = td.FieldMonitor(\n",
    "        center=(0, 0.05, size_z / 2),\n",
    "        size=(size_x, 0, size_z),\n",
    "        freqs=[freq],\n",
    "        name=\"field_xz\",\n",
    "    )\n",
    "\n",
    "    # Mode monitor to get the power coupled into the fiber modes.\n",
    "    mode_spec = td.ModeSpec(num_modes=1, target_neff=n_core)\n",
    "    mode_monitor = td.ModeMonitor(\n",
    "        center=(0, 0, mon_pos_z),\n",
    "        size=(size_x, size_y, 0),\n",
    "        freqs=freqs,\n",
    "        mode_spec=mode_spec,\n",
    "        name=\"mode_fiber\",\n",
    "    )\n",
    "\n",
    "    # Flux monitor to get the total dipole power.\n",
    "    flux_dip = td.FluxMonitor(\n",
    "        center=(0, 0, size_z / 2),\n",
    "        size=(0.8 * size_x, 0.8 * size_y, size_z),\n",
    "        freqs=freqs,\n",
    "        exclude_surfaces=(\"z-\",),\n",
    "        name=\"flux_dip\",\n",
    "    )\n",
    "\n",
    "    # Silicon dioxide layer\n",
    "    sio2_layer = td.Structure(\n",
    "        geometry=td.Box.from_bounds(\n",
    "            rmin=(-size_x / 2 - eff_inf, -size_y / 2 - eff_inf, -eff_inf),\n",
    "            rmax=(size_x / 2 + eff_inf, size_y / 2 + eff_inf, tsio2),\n",
    "        ),\n",
    "        medium=mat_sio2,\n",
    "    )\n",
    "\n",
    "    # Fiber cladding\n",
    "    fiber_clad = td.Structure(\n",
    "        geometry=td.Box.from_bounds(\n",
    "            rmin=(-size_x / 2 - eff_inf, -size_y / 2 - eff_inf, size_z - pml_spacing),\n",
    "            rmax=(size_x / 2 + eff_inf, size_y / 2 + eff_inf, size_z + eff_inf),\n",
    "        ),\n",
    "        medium=mat_clad,\n",
    "    )\n",
    "\n",
    "    # Fiber core\n",
    "    fiber_core = td.Structure(\n",
    "        geometry=td.Cylinder(\n",
    "            radius=r_core,\n",
    "            center=(0, 0, size_z + (((pml_spacing + eff_inf) / 2) - pml_spacing)),\n",
    "            axis=2,\n",
    "            length=pml_spacing + eff_inf,\n",
    "        ),\n",
    "        medium=mat_core,\n",
    "    )\n",
    "\n",
    "    # Bullseye cavity\n",
    "    bullseye = []\n",
    "    cyl_rad = n_bragg * p + r\n",
    "    for _ in range(0, n_bragg):\n",
    "        bullseye.append(\n",
    "            td.Structure(\n",
    "                geometry=td.Cylinder(\n",
    "                    radius=cyl_rad,\n",
    "                    center=(0, 0, qd_pos_z - t_tio2 / 2),\n",
    "                    axis=2,\n",
    "                    length=t_tio2,\n",
    "                ),\n",
    "                medium=mat_tio2,\n",
    "            )\n",
    "        )\n",
    "        bullseye.append(\n",
    "            td.Structure(\n",
    "                geometry=td.Cylinder(\n",
    "                    radius=cyl_rad - p + w,\n",
    "                    center=(0, 0, qd_pos_z - t_tio2 / 2),\n",
    "                    axis=2,\n",
    "                    length=t_tio2,\n",
    "                ),\n",
    "                medium=mat_etch,\n",
    "            )\n",
    "        )\n",
    "        cyl_rad -= p\n",
    "\n",
    "    bullseye.append(\n",
    "        td.Structure(\n",
    "            geometry=td.Cylinder(\n",
    "                radius=r, center=(0, 0, qd_pos_z - t_tio2 / 2), axis=2, length=t_tio2\n",
    "            ),\n",
    "            medium=mat_tio2,\n",
    "        )\n",
    "    )\n",
    "    # Non-etched TiO2 region.\n",
    "    if h > 0:\n",
    "        bullseye.append(\n",
    "            td.Structure(\n",
    "                geometry=td.Box.from_bounds(\n",
    "                    rmin=(-size_x / 2 - eff_inf, -size_y / 2 - eff_inf, tsio2),\n",
    "                    rmax=(\n",
    "                        size_x / 2 + eff_inf,\n",
    "                        size_y / 2 + eff_inf,\n",
    "                        tsio2 + h * t_tio2,\n",
    "                    ),\n",
    "                ),\n",
    "                medium=mat_tio2,\n",
    "            )\n",
    "        )\n",
    "\n",
    "    # Simulation definition\n",
    "    sim = td.Simulation(\n",
    "        center=(0, 0, -center_z),\n",
    "        size=(size_x, size_y, size_z),\n",
    "        medium=mat_etch,\n",
    "        grid_spec=td.GridSpec.auto(min_steps_per_wvl=15, wavelength=wl),\n",
    "        structures=[sio2_layer, fiber_clad, fiber_core] + bullseye,\n",
    "        sources=[dp_source],\n",
    "        normalize_index=0,\n",
    "        monitors=[field_monitor_xy, field_monitor_xz, mode_monitor, flux_dip],\n",
    "        boundary_spec=td.BoundarySpec(\n",
    "            x=td.Boundary.pml(),\n",
    "            y=td.Boundary.pml(),\n",
    "            z=td.Boundary(minus=td.PECBoundary(), plus=td.PML()),\n",
    "        ),\n",
    "        symmetry=(1, -1, 0),\n",
    "        run_time=run_time,\n",
    "    )\n",
    "    return sim"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's visualize the simulation set up and verify if all the elements are in their correct places."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "init_design = get_simulation()\n",
    "\n",
    "fig = plt.figure(tight_layout=True, figsize=(10, 5))\n",
    "gs = fig.add_gridspec(2, 2)\n",
    "ax1 = fig.add_subplot(gs[:, 0])\n",
    "ax2 = fig.add_subplot(gs[0, 1])\n",
    "ax3 = fig.add_subplot(gs[1, 1])\n",
    "init_design.plot_eps(z=t_sio2 + t_tio2, ax=ax1, monitor_alpha=0)\n",
    "init_design.plot(y=0, ax=ax2, monitor_alpha=0)\n",
    "init_design.plot_eps(y=0, ax=ax3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Output Fiber Mode\n",
    "\n",
    "Before running the optimization, we will make sure the correct optical fiber mode has been considered."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">19:24:36 CEST </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Mode monitor </span><span style=\"color: #008000; text-decoration-color: #008000\">'mode_fiber'</span><span style=\"color: #800000; text-decoration-color: #800000\"> has a large number </span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">(</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.18e+05</span><span style=\"color: #800000; text-decoration-color: #800000; font-weight: bold\">)</span><span style=\"color: #800000; text-decoration-color: #800000\">  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">of grid points. This can lead to solver slow-down and increased   </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">cost. Consider making the size of the component smaller, as long  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #800000; text-decoration-color: #800000\">as the modes of interest decay by the plane boundaries.           </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:24:36 CEST\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Mode monitor \u001b[0m\u001b[32m'mode_fiber'\u001b[0m\u001b[31m has a large number \u001b[0m\u001b[1;31m(\u001b[0m\u001b[1;36m2.18e+05\u001b[0m\u001b[1;31m)\u001b[0m\u001b[31m  \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31mof grid points. This can lead to solver slow-down and increased   \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31mcost. Consider making the size of the component smaller, as long  \u001b[0m\n",
       "\u001b[2;36m              \u001b[0m\u001b[31mas the modes of interest decay by the plane boundaries.           \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\">19:24:37 CEST </span>Mode solver created with                                          \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #808000; text-decoration-color: #808000\">task_id</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'fdve-48610c46-ccd6-42d4-8853-6ba946535ab2'</span>,              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #808000; text-decoration-color: #808000\">solver_id</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'mo-92a61d5d-c640-4231-94c3-5e326bae02a5'</span>.              \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:24:37 CEST\u001b[0m\u001b[2;36m \u001b[0mMode solver created with                                          \n",
       "\u001b[2;36m              \u001b[0m\u001b[33mtask_id\u001b[0m=\u001b[32m'fdve-48610c46-ccd6-42d4-8853-6ba946535ab2'\u001b[0m,              \n",
       "\u001b[2;36m              \u001b[0m\u001b[33msolver_id\u001b[0m=\u001b[32m'mo-92a61d5d-c640-4231-94c3-5e326bae02a5'\u001b[0m.              \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4f7e2f6cd60b4b49a8210b74a6de252e",
       "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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "958362d9dfb442b3a0b4d23454f4a589",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">19:24:40 CEST </span>Mode solver status: queued                                        \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:24:40 CEST\u001b[0m\u001b[2;36m \u001b[0mMode solver status: 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\">19:24:42 CEST </span>Mode solver status: running                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:24:42 CEST\u001b[0m\u001b[2;36m \u001b[0mMode solver status: running                                       \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\">19:25:05 CEST </span>Mode solver status: success                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:25:05 CEST\u001b[0m\u001b[2;36m \u001b[0mMode solver status: success                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "13f2b59b465b4cf1bdc30146fcde01b1",
       "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"
    }
   ],
   "source": [
    "mode_spec = td.ModeSpec(num_modes=1, target_neff=n_core)\n",
    "mode_solver = ModeSolver(\n",
    "    simulation=init_design,\n",
    "    plane=td.Box(\n",
    "        center=(0, 0, 0.5 * pml_spacing + t_sio2 + t_tio2 + d_cf),\n",
    "        size=(td.inf, td.inf, 0),\n",
    "    ),\n",
    "    mode_spec=mode_spec,\n",
    "    freqs=[freq],\n",
    ")\n",
    "mode_fiber = run_mode_solver(mode_solver)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see the y-oriented fundamental optical fiber mode, as desired."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(5, 4), tight_layout=True)\n",
    "mode_fiber.Ey.real.sel(mode_index=0, f=freq).plot(x=\"x\", y=\"y\", cmap=\"bwr\", ax=ax)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Particle Swarm Optimization\n",
    "\n",
    "\n",
    "The figure-of-merit used in the optimization is the coupling efficiency of generated photons into the fundamental optical mode of the collection fiber. We need to normalize the modal power by the dipole power to obtain the correct value, as below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Figure of Merit (FOM) calculation.\n",
    "def get_coupling_eff(sim_data: td.SimulationData) -> float:\n",
    "    \"\"\"Return the power at the mode index of interest.\"\"\"\n",
    "    mode_amps = sim_data[\"mode_fiber\"].amps.sel(direction=\"+\", mode_index=0)\n",
    "    mode_power = np.squeeze(np.abs(mode_amps) ** 2)\n",
    "    dip_power = sim_data[\"flux_dip\"].flux\n",
    "    return mode_power / dip_power"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can define the pre and post functions that the `DesignSpace` needs to carry out the PSO. The `fn_pre` will receive keyword arguments suggested from the optimizer and returns a `Simulation` object. This `Simulation` will automatically be combined into a `Batch` and run in parallel on the Tidy3D cloud, for fast computation of each PSO iteration.\n",
    "\n",
    "The `fn_post` function receives the `SimulationData` from the computation and calculates the maximising FOM defined above. All optimizers in the `Design` plugin are maximising functions so no minus sign is needed to reverse this FOM. The output float value is fed to the PSO to evaluate the current solution and improve the next suggestion."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def fn_pre(r: float, p: float, w: float, h: float, t_sio2: float, dcf: float) -> td.Simulation:\n",
    "    \"\"\"Build a Simulation object from parameters suggested by the PSO.\"\"\"\n",
    "    sim = get_simulation(r, p, w, h, t_sio2, dcf)\n",
    "    return sim\n",
    "\n",
    "\n",
    "def fn_post(sim_data: td.SimulationData) -> float:\n",
    "    \"\"\"Analyze SimulationData from a bullseye cavity simulation and return coupling efficiency.\"\"\"\n",
    "    ce = np.max(get_coupling_eff(sim_data))\n",
    "    return float(ce)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Each parameter is then defined with the `name` matching the argument in `fn_pre`. The PSO will work within the bounds specified in the `span` to suggest solutions. To make this notebook reproducible we also define the initial position and set the seed - though this isn't necessary for every PSO run.\n",
    "\n",
    "In the `Method` we define the hyperparameters used to setup the PSO (the inertia weight, the cognitive coefficient, and the social coefficient) which typically require some experimentation to find the optimum values. We have done some iteration to choose these values, but they could likely be refined further.\n",
    "\n",
    "The `Method` and `Parameters` are then input to the `DesignSpace` which controls the optimization and returns the results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Setup parameters for DesignSpace\n",
    "r_param = tdd.ParameterFloat(name=\"r\", span=(0.5 * r_cav, 1.5 * r_cav))\n",
    "p_param = tdd.ParameterFloat(name=\"p\", span=(0.5 * p_bragg, 1.5 * p_bragg))\n",
    "w_param = tdd.ParameterFloat(name=\"w\", span=(0.5 * w_bragg, 1.5 * w_bragg))\n",
    "h_param = tdd.ParameterFloat(name=\"h\", span=(0.0, 1.0))\n",
    "t_sio2_param = tdd.ParameterFloat(name=\"t_sio2\", span=(0.5 * t_sio2, 1.5 * t_sio2))\n",
    "dcf_param = tdd.ParameterFloat(name=\"dcf\", span=(0.5 * d_cf, 1.5 * d_cf))\n",
    "parameters = (r_param, p_param, w_param, h_param, t_sio2_param, dcf_param)\n",
    "\n",
    "# Initial parameters\n",
    "np.random.seed(3)\n",
    "init_par = np.random.uniform(0.5, 1.0, (n_particle, len(parameters)))\n",
    "init_par[:, 0] = init_par[:, 0] * r_cav\n",
    "init_par[:, 1] = init_par[:, 1] * p_bragg\n",
    "init_par[:, 2] = init_par[:, 2] * w_bragg\n",
    "init_par[:, 3] = init_par[:, 3] - 0.5\n",
    "init_par[:, 4] = init_par[:, 4] * t_sio2\n",
    "init_par[:, 5] = init_par[:, 5] * d_cf\n",
    "\n",
    "particle_swarm = tdd.MethodParticleSwarm(\n",
    "    n_particles=n_particle,\n",
    "    n_iter=iterations,\n",
    "    cognitive_coeff=0.5,\n",
    "    social_coeff=0.3,\n",
    "    weight=0.9,\n",
    "    init_pos=init_par,\n",
    ")\n",
    "\n",
    "design_space = tdd.DesignSpace(\n",
    "    method=particle_swarm, parameters=parameters, task_name=\"PSO_Notebook\", path_dir=\"./data\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we are ready to run the optimization!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2025-07-27 19:25:08,416 - pyswarms.single.global_best - INFO - Optimize for 15 iters with {'c1': 0.5, 'c2': 0.3, 'w': 0.9}\n",
      "pyswarms.single.global_best:   0%|          |0/15"
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     "text": [
      "pyswarms.single.global_best: 100%|██████████|15/15, best_cost=-0.332\n",
      "2025-07-27 21:23:00,664 - pyswarms.single.global_best - INFO - Optimization finished | best cost: -0.3316597424081307, best pos: [0.74632414 0.3812908  0.12455691 0.26602631 0.64924378 1.0869887 ]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">21:23:00 CEST </span>Best Result: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">-0.3316597424081307</span>                                  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>Best Parameters: r: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.7463241440689826</span> p: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.3812907960183133</span> w:   \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.1245569125769858</span> h: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.26602630907617625</span> t_sio2:                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.6492437787750074</span> dcf: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.0869886995014149</span>                        \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>                                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m21:23:00 CEST\u001b[0m\u001b[2;36m \u001b[0mBest Result: \u001b[1;36m-0.3316597424081307\u001b[0m                                  \n",
       "\u001b[2;36m              \u001b[0mBest Parameters: r: \u001b[1;36m0.7463241440689826\u001b[0m p: \u001b[1;36m0.3812907960183133\u001b[0m w:   \n",
       "\u001b[2;36m              \u001b[0m\u001b[1;36m0.1245569125769858\u001b[0m h: \u001b[1;36m0.26602630907617625\u001b[0m t_sio2:                 \n",
       "\u001b[2;36m              \u001b[0m\u001b[1;36m0.6492437787750074\u001b[0m dcf: \u001b[1;36m1.0869886995014149\u001b[0m                        \n",
       "\u001b[2;36m              \u001b[0m                                                                  \n"
      ]
     },
     "metadata": {},
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    }
   ],
   "source": [
    "td.config.logging.level = \"ERROR\"\n",
    "\n",
    "# Run the optimization\n",
    "results = design_space.run(fn_pre, fn_post, verbose=True)\n",
    "df = results.to_dataframe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ultimately, we can obtain the optimized cavity parameters and see how the optimization has evolved into the final value. When optimizing a device for practical applications, one can consider adding more particles, increasing the number of iterations, or trying different metaparameters to improve results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best parameters:\n",
      "r_cav = 0.746 um\n",
      "p_bragg = 0.381 um\n",
      "w_bragg = 0.125 um\n",
      "h = 0.266\n",
      "t_sio2 = 0.649 um\n",
      "d_cf = 1.087 um\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# The optimizer object is stored in the results from the DesignSpace\n",
    "best_par = results.optimizer.swarm.best_pos\n",
    "cost_history = results.optimizer.cost_history\n",
    "\n",
    "print(\"Best parameters:\")\n",
    "print(f\"r_cav = {best_par[0]:.3f} um\")\n",
    "print(f\"p_bragg = {best_par[1]:.3f} um\")\n",
    "print(f\"w_bragg = {best_par[2]:.3f} um\")\n",
    "print(f\"h = {best_par[3]:.3f}\")\n",
    "print(f\"t_sio2 = {best_par[4]:.3f} um\")\n",
    "print(f\"d_cf = {best_par[5]:.3f} um\")\n",
    "\n",
    "fig, ax = plt.subplots(1, 1, figsize=(6, 4))\n",
    "ax.plot(cost_history, \"ro\")\n",
    "ax.set_xlabel(\"iterations\")\n",
    "ax.set_ylabel(\"objective function\")\n",
    "ax.set_title(f\"Final coupling efficiency = {-min(cost_history):.3f}\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Final Bullseye Cavity\n",
    "\n",
    "Now, we can simulate the optimized bullseye cavity and take a look at the coupling efficiency along the whole bandwidth."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "final_design = get_simulation(\n",
    "    r=best_par[0],\n",
    "    p=best_par[1],\n",
    "    w=best_par[2],\n",
    "    h=best_par[3],\n",
    "    tsio2=best_par[4],\n",
    "    dcf=best_par[5],\n",
    ")\n",
    "\n",
    "# Field monitor to visualize the fields at the peak coupling efficiency.\n",
    "wl_mon = 0.725  # Wavelength for field monitor.\n",
    "field_monitor_xz_f = td.FieldMonitor(\n",
    "    center=(0, 0.05, final_design.center[2] / 2),\n",
    "    size=(final_design.size[0], 0, final_design.size[2]),\n",
    "    freqs=[td.C_0 / wl_mon],\n",
    "    name=\"field_xz_f\",\n",
    ")\n",
    "\n",
    "mon_f = final_design.monitors + (field_monitor_xz_f,)\n",
    "final_design = final_design.copy(update=dict(monitors=mon_f))\n",
    "\n",
    "fig, (ax1, ax2) = plt.subplots(1, 2, tight_layout=True, figsize=(10, 5))\n",
    "final_design.plot_eps(z=best_par[4] + t_tio2 / 1.5, ax=ax1)\n",
    "final_design.plot_eps(y=0, ax=ax2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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\">21:23:01 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'final bullseye'</span> with task_id                        \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-99af72a9-aba1-4e1e-80b5-964f4cdf6b19'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m21:23:01 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'final bullseye'\u001b[0m with task_id                        \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-99af72a9-aba1-4e1e-80b5-964f4cdf6b19'\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-99af72a9-aba1-4e1e-80b5-964f4cdf6b19\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-99af72a9-ab</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-99af72a9-aba1-4e1e-80b5-964f4cdf6b19\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">a1-4e1e-80b5-964f4cdf6b19'</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=605431;https://tidy3d.simulation.cloud/workbench?taskId=fdve-99af72a9-aba1-4e1e-80b5-964f4cdf6b19\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=43253;https://tidy3d.simulation.cloud/workbench?taskId=fdve-99af72a9-aba1-4e1e-80b5-964f4cdf6b19\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=605431;https://tidy3d.simulation.cloud/workbench?taskId=fdve-99af72a9-aba1-4e1e-80b5-964f4cdf6b19\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=416397;https://tidy3d.simulation.cloud/workbench?taskId=fdve-99af72a9-aba1-4e1e-80b5-964f4cdf6b19\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=605431;https://tidy3d.simulation.cloud/workbench?taskId=fdve-99af72a9-aba1-4e1e-80b5-964f4cdf6b19\u001b\\\u001b[32m-99af72a9-ab\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=605431;https://tidy3d.simulation.cloud/workbench?taskId=fdve-99af72a9-aba1-4e1e-80b5-964f4cdf6b19\u001b\\\u001b[32ma1-4e1e-80b5-964f4cdf6b19'\u001b[0m\u001b]8;;\u001b\\.                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=373134;https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "694b6ab86d3246c8af17216260413c87",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">21:23:03 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.329</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m21:23:03 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.329\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">21:23:04 CEST </span>status = queued                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m21:23:04 CEST\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": {
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       "model_id": "57e446b2a9e8471e8520bf48980a5230",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">21:23:55 CEST </span>starting up solver                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m21:23:55 CEST\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"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "26da338033e343f4a60272da9ff37b5e",
       "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\">21:24:22 CEST </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">20</span>%, exiting.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m21:24:22 CEST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m20\u001b[0m%, exiting.                           \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>status = postprocess                                              \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                              \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "72a67e5c96a1465a977b71198bd4993e",
       "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\">21:24:46 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m21:24:46 CEST\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\">21:24:48 CEST </span>View simulation result at                                         \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-99af72a9-aba1-4e1e-80b5-964f4cdf6b19\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-99af72a9-ab</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-99af72a9-aba1-4e1e-80b5-964f4cdf6b19\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">a1-4e1e-80b5-964f4cdf6b19'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m21:24:48 CEST\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=368287;https://tidy3d.simulation.cloud/workbench?taskId=fdve-99af72a9-aba1-4e1e-80b5-964f4cdf6b19\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=493994;https://tidy3d.simulation.cloud/workbench?taskId=fdve-99af72a9-aba1-4e1e-80b5-964f4cdf6b19\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=368287;https://tidy3d.simulation.cloud/workbench?taskId=fdve-99af72a9-aba1-4e1e-80b5-964f4cdf6b19\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=141709;https://tidy3d.simulation.cloud/workbench?taskId=fdve-99af72a9-aba1-4e1e-80b5-964f4cdf6b19\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=368287;https://tidy3d.simulation.cloud/workbench?taskId=fdve-99af72a9-aba1-4e1e-80b5-964f4cdf6b19\u001b\\\u001b[4;34m-99af72a9-ab\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=368287;https://tidy3d.simulation.cloud/workbench?taskId=fdve-99af72a9-aba1-4e1e-80b5-964f4cdf6b19\u001b\\\u001b[4;34ma1-4e1e-80b5-964f4cdf6b19'\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": "761aee03ffa4439ca03e9d5c6a010da5",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">21:24:51 CEST </span>loading simulation from simulation_data.hdf5                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m21:24:51 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_data_final = web.run(final_design, task_name=\"final bullseye\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "The peak coupling efficiency is about 33% at 0.76 $\\mu m$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "coup_eff = get_coupling_eff(sim_data_final)\n",
    "\n",
    "f, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 4), tight_layout=True)\n",
    "ax1.plot(wl_range, coup_eff, \"-k\")\n",
    "ax1.set_xlabel(\"Wavelength (um)\")\n",
    "ax1.set_ylabel(\"Coupling Efficiency\")\n",
    "ax1.set_xlim(wl - bw / 2, wl + bw / 2)\n",
    "sim_data_final.plot_field(\"field_xz_f\", \"E\", \"abs^2\", ax=ax2)\n",
    "ax2.set_aspect(\"auto\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Purcell Factor Calculation\n",
    "\n",
    "Purcell factor enhancement is usually desired when designing a quantum emitter light extractor device, as it can lead to higher photon generation rates, $\\beta$-factors, and photon indistinguishability. Next, we calculate the bullseye nanocavity Purcell factor ($F_{p} = P_{cav}/P_{bulk}$) defined as the ratio between the dipole power emitted in final device and in the bulk semiconductor.\n",
    "\n",
    "We can calculate $P_{bulk}$ analytically as\n",
    "\n",
    "$P_{bulk_a} = \\frac{\\omega^{2}}{12\\pi}\\frac{\\mu_{0}n}{c}$\n",
    "\n",
    "where $n$ is the refractive index of the quantum emitter host material."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "p_bulk_a = ((2 * np.pi * freqs) ** 2 / (12 * np.pi)) * (td.MU_0 * n_tio2 / td.C_0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When symmetries are present in the simulation, dipole image charges are included for each symmetry plane due to field continuity reasons. In this case, we need to adjust $P_{bulk_a}$ as below:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "p_bulk_a = p_bulk_a * 2 ** (2 * np.sum(np.abs(final_design.symmetry)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Another way of obtaining $P_{bulk}$ is through a normalization run considering the quantum emitter embedded in a homogeneous medium, as follows. Note that the same symmetry condition of the cavity simulation should be used. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Point dipole source located at the center of TiO2 thin film.\n",
    "dp_source_bulk = td.PointDipole(\n",
    "    center=(0, 0, final_design.size[2] / 2),\n",
    "    source_time=td.GaussianPulse(freq0=freq, fwidth=freqw),\n",
    "    polarization=\"Ey\",\n",
    ")\n",
    "\n",
    "# Flux monitor to get the total dipole power.\n",
    "flux_dip_bulk = td.FluxMonitor(\n",
    "    center=(0, 0, final_design.size[2] / 2),\n",
    "    size=final_design.size,\n",
    "    freqs=freqs,\n",
    "    name=\"flux_dip_bulk\",\n",
    ")\n",
    "\n",
    "bulk_device = final_design.copy(\n",
    "    update={\n",
    "        \"structures\": [],\n",
    "        \"sources\": [dp_source_bulk],\n",
    "        \"monitors\": [flux_dip_bulk],\n",
    "        \"medium\": mat_tio2,\n",
    "        \"symmetry\": final_design.symmetry,\n",
    "        \"boundary_spec\": td.BoundarySpec.all_sides(boundary=td.PML()),\n",
    "    }\n",
    ")\n",
    "\n",
    "fig, (ax1, ax2) = plt.subplots(1, 2, tight_layout=True, figsize=(10, 5))\n",
    "bulk_device.plot_eps(z=(final_design.size[2]) / 2, ax=ax1)\n",
    "bulk_device.plot_eps(y=0, ax=ax2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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\">21:24:52 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'bulk sim'</span> with task_id                              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-cc33508a-b7b4-45d8-a494-a1911905f86d'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m21:24:52 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'bulk sim'\u001b[0m with task_id                              \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-cc33508a-b7b4-45d8-a494-a1911905f86d'\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-cc33508a-b7b4-45d8-a494-a1911905f86d\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-cc33508a-b7</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-cc33508a-b7b4-45d8-a494-a1911905f86d\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">b4-45d8-a494-a1911905f86d'</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=47871;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cc33508a-b7b4-45d8-a494-a1911905f86d\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=535800;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cc33508a-b7b4-45d8-a494-a1911905f86d\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=47871;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cc33508a-b7b4-45d8-a494-a1911905f86d\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=852867;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cc33508a-b7b4-45d8-a494-a1911905f86d\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=47871;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cc33508a-b7b4-45d8-a494-a1911905f86d\u001b\\\u001b[32m-cc33508a-b7\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=47871;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cc33508a-b7b4-45d8-a494-a1911905f86d\u001b\\\u001b[32mb4-45d8-a494-a1911905f86d'\u001b[0m\u001b]8;;\u001b\\.                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=135673;https://tidy3d.simulation.cloud/folders/folder-7a0ee478-ee62-43e0-9a9e-26a06b299b0a\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ddccce83e814417c8c164f0d8c7d6285",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">21:24:54 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.362</span>. Minimum cost depends on task      \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span>FlexCredit cost after a simulation run.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m21:24:54 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.362\u001b[0m. Minimum cost depends on task      \n",
       "\u001b[2;36m              \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed \n",
       "\u001b[2;36m              \u001b[0mFlexCredit cost after a simulation run.                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">21:24:55 CEST </span>status = queued                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m21:24:55 CEST\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": "16bbd89dfd96441d839306a9cd4ffc0b",
       "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\">21:25:22 CEST </span>status = preprocess                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m21:25:22 CEST\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\">21:25:26 CEST </span>starting up solver                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m21:25:26 CEST\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\">21:25:27 CEST </span>running solver                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m21:25:27 CEST\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "deb3cc74194f44279c5b481d03104864",
       "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\">21:25:30 CEST </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span>%, exiting.                            \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m21:25:30 CEST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m4\u001b[0m%, exiting.                            \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>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m             \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-cc33508a-b7b4-45d8-a494-a1911905f86d\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-cc33508a-b7</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-cc33508a-b7b4-45d8-a494-a1911905f86d\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">b4-45d8-a494-a1911905f86d'</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=101087;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cc33508a-b7b4-45d8-a494-a1911905f86d\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=168192;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cc33508a-b7b4-45d8-a494-a1911905f86d\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=101087;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cc33508a-b7b4-45d8-a494-a1911905f86d\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=95992;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cc33508a-b7b4-45d8-a494-a1911905f86d\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=101087;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cc33508a-b7b4-45d8-a494-a1911905f86d\u001b\\\u001b[4;34m-cc33508a-b7\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=101087;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cc33508a-b7b4-45d8-a494-a1911905f86d\u001b\\\u001b[4;34mb4-45d8-a494-a1911905f86d'\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": "d03ec6e985eb44b180b186735a74d4be",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">21:25:32 CEST </span>loading simulation from simulation_data.hdf5                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m21:25:32 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_data_bulk = web.run(bulk_device, task_name=\"bulk sim\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A maximum Purcell value of about 4.75 is achieved at 0.76 $\\mu m$, even though this figure-of-merit was not pursued along the optimization. Higher Purcell values can be obtained in cases where the quantum emitter can be embedded within the cavity material."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "p_cav = sim_data_final[\"flux_dip\"].flux\n",
    "p_bulk_s = sim_data_bulk[\"flux_dip_bulk\"].flux\n",
    "\n",
    "purcell_s = p_cav / p_bulk_s\n",
    "purcell_a = p_cav / p_bulk_a\n",
    "\n",
    "f, ax1 = plt.subplots(1, 1, figsize=(6, 4), tight_layout=True)\n",
    "ax1.plot(wl_range, purcell_s, \"-k\", label=\"simulation\")\n",
    "ax1.plot(wl_range, purcell_a, \"--r\", label=\"analytic\")\n",
    "ax1.set_xlabel(\"Wavelength (um)\")\n",
    "ax1.set_ylabel(\"Purcell Factor\")\n",
    "ax1.set_xlim(wl - bw / 2, wl + bw / 2)\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "applications": [
   "Nanophotonics",
   "Quantum emitters"
  ],
  "description": "In this notebook, we show how to set up a bullseye cavity simulation and use Particle Swarm Optimization (PSO) to enhance the coupling efficiency from quantum emitters into an optical fiber.",
  "feature_image": "./img/bullseye_psa_thumb.png",
  "features": [
   "Global optimization"
  ],
  "kernelspec": {
   "display_name": ".venv",
   "language": "python",
   "name": "python3"
  },
  "keywords": "bullseye cavity, cavity optimization, single photon source, particle swarm optimization, 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": "3.13.5"
  },
  "title": "Particle swarm optimization of a bullseye cavity for quantum emitter light extraction | Flexcompute"
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
