{
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   "source": [
    "# CMOS RGB image sensor\n",
    "\n",
    "> Note: The cost of running the entire notebook is higher than 1 FlexCredit.\n",
    "\n",
    "In this notebook, we show how to simulate optical processes in a CMOS RGB image sensor. The fundamental building blocks of the sensor are pixels, each containing microlens, color filters, and photodetector. Together, a pixel can perform multiple optical functionalities such as focusing, color filtering, and detection. Here, we illustrate how to set up the FDTD simulation and measure the performance of a typical CMOS image sensor composed of a periodic arrangement of Bayer unit cells, where we have one red (R), one blue (B), and two green (G) color filters, as shown below.\n",
    "\n",
    "<img src=\"img/rgb_cmos_sensor.png\" alt=\"Bayer Unit Cell\"  width=\"300\"/>\n",
    "\n",
    "First, we will import Tidy3D and the other packages needed. If it is not installed, please do so with ``pip install tidy3d``. We will use the [FastDispersionFitter](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.dispersion.FastDispersionFitter.html) plugin to fit hypothetical R, G, and B step-like absorbing filter materials."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# standard python imports\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "# Tidy3D imports\n",
    "import tidy3d as td\n",
    "from tidy3d import web\n",
    "from tidy3d.plugins.dispersion import AdvancedFastFitterParam, FastDispersionFitter"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Simulation Setup\n",
    "At the top of the Bayer unit cell structure, we have microlenses (silica) to focus the incoming light on the silicon photodetectors. Absorptive materials are placed below the microlenses to filter out the undesired colors at each pixel, and a metallic shield is responsible for reducing the crosstalk between neighboring unit cells. Electron-hole pairs are generated when light reaches the Si photodetector, and then the generated carriers are collected by metallic interconnections. A silicon nitride anti-reflection layer is employed to reduce the reflection losses at the silicon-silica interface. While this structure is intended to be a starting example, other color filter construction methods with improved efficiency and advanced metasurface-based color routing mechanisms are available in the literature [[1](https://www.mdpi.com/1424-8220/19/7/1536), [2](https://opg.optica.org/oe/fulltext.cfm?uri=oe-16-25-20457&id=175035), [3](https://ieeexplore.ieee.org/document/5427134), [4](https://www.nature.com/articles/s41467-022-31019-7)].\n",
    "\n",
    "### Geometric parameters\n",
    "Let's first specify all geometric parameters from the top to the bottom of the structure. Their values are not optimized. All the dimensions are in micrometers. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "Lx = Ly = 3.0  # Size of the Bayer unit cell along x- and y- direction.\n",
    "dPML = 1.5  # PML thickness at the top of the simulation domain."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's consider the lens to be spherical caps (hemispheres). Since there are two by two lenses in a pixel, the diameter of the base of a cap is `Lx/2`. Once the radius is specified, the height of the cap can be computed analytically."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The height of the lens is 0.339 microns.\n"
     ]
    }
   ],
   "source": [
    "width_len = Lx / 2  # Lens and color pixel width.\n",
    "radius_len = 1.0  # Lens radius.\n",
    "\n",
    "# A focal distance = R*n/(n-1)~3um is sufficient.\n",
    "height_len = (1 - np.cos(np.arcsin(width_len / radius_len / 2))) * radius_len\n",
    "print(f\"The height of the lens is {height_len:.3f} microns.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we can define the remaining geometrical parameters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "d_len_to_filter = 0.2  # Distance from the base of the lens to the top of the filter.\n",
    "t_filter = 1.0  # Filter thickness.\n",
    "d_filter_to_shield = 0.5  # Distance from the base of filter to the top of metallic shields.\n",
    "\n",
    "# Metal shields are simplified to be metallic layer with holes.\n",
    "t_shield = 0.10  # Shield thickness.\n",
    "radius_shield = 0.95 * width_len  # Radius of hole.\n",
    "d_shield_to_connect = 0.5  # Distance from the base of shield to the top of metallic interconnect.\n",
    "\n",
    "# Metallic interconnects are assumed to be rectangular rods.\n",
    "t_connect = 0.10  # Thickness.\n",
    "width_connect = 0.15  # Width of each rod.\n",
    "gap_connect = 0.2  # Gap between adjacent interconnection planes.\n",
    "distance_connect = (\n",
    "    1.8 * width_len\n",
    ")  # Distance between the center of rods parallel to the sides of unit cell.\n",
    "\n",
    "d_connect_to_AR = (\n",
    "    0.5  # Distance from the base of the interconnects to the top of the anti-reflection layer.\n",
    ")\n",
    "t_silicon = 2  # Thickness of silicon photon-detector."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will consider the simulation in the visible spectrum of wavelength range [400, 700] nm."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "lam_range = [0.4, 0.7]\n",
    "\n",
    "# Central wavelength for RGB colors.\n",
    "lam_blue = 0.45\n",
    "lam_green = 0.55\n",
    "lam_red = 0.65"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Materials"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here, we load relevant materials from Tidy3D's [material library](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/material_library.html). Typical material choice is considered: photodetector made of silicon, metallic interconnects and shields made of aluminum, an anti-reflection layer made of silicon nitride, and most other optical components made of silica."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "SiN = td.material_library[\"SiN\"][\"Horiba\"]\n",
    "Silicon = td.material_library[\"aSi\"][\"Horiba\"]\n",
    "Silica = td.material_library[\"SiO2\"][\"Palik_Lossless\"]\n",
    "metal = td.material_library[\"Al\"][\"Rakic1995\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we define the color filter materials. They are usually based on dye or pigment. The materials need to be very dispersive to achieve the color filtering functionality, e.g., the material for the red color filter is strongly absorptive of the blue and the green color light but transparent to the red color light. In running broadband FDTD simulation, those dispersive materials need to be fitted to analytical dispersive models such as the Drude-Lorentz model, Pole-residue pair model, etc. You can find a detailed explanation in this [lecture](https://www.flexcompute.com/fdtd101/Lecture-5-Modeling-dispersive-material-in-FDTD). \n",
    "\n",
    "In this example, as a proof of principle, the color filter materials are defined artificially. In practice, many actual filter materials can provide better performance. We will use the [FastDispersionFitter](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.plugins.dispersion.FastDispersionFitter.html) plugin to fit the hypothetical R, G, and B step-like absorbing filter materials. To better fit the imaginary part of the refractive index, which is most important to describe the filter response, we will adjust `weights=(0.1, 1.9)` in `AdvancedFastFitterParam`. As a final note, the dispersion fitter is looking for the best possible fit, while ensuring that the materials remain passive. In practice this can be difficult if the imaginary index switches between 0 and a relatively large value. This is why we also add a baseline imaginary part of `1e-2` to the data, i.e. a small absorption even in the transmissive window."
   ]
  },
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">19:33:37 CEST </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Unable to fit with weighted RMS error under              </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'tolerance_rms'</span><span style=\"color: #800000; text-decoration-color: #800000\"> of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.02</span><span style=\"color: #800000; text-decoration-color: #800000\">                                           </span>\n",
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">19:34:58 CEST </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Unable to fit with weighted RMS error under              </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'tolerance_rms'</span><span style=\"color: #800000; text-decoration-color: #800000\"> of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.02</span><span style=\"color: #800000; text-decoration-color: #800000\">                                           </span>\n",
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       "\u001b[2;36m              \u001b[0m\u001b[32m'tolerance_rms'\u001b[0m\u001b[31m of \u001b[0m\u001b[1;36m0.02\u001b[0m\u001b[31m                                           \u001b[0m\n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">19:36:16 CEST </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Unable to fit with weighted RMS error under              </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'tolerance_rms'</span><span style=\"color: #800000; text-decoration-color: #800000\"> of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.02</span><span style=\"color: #800000; text-decoration-color: #800000\">                                           </span>\n",
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       "\u001b[2;36m              \u001b[0m\u001b[32m'tolerance_rms'\u001b[0m\u001b[31m of \u001b[0m\u001b[1;36m0.02\u001b[0m\u001b[31m                                           \u001b[0m\n"
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    "# Advanced fitter parameters.\n",
    "advanced_param = AdvancedFastFitterParam(weights=(0.1, 1.9), num_iters=200)\n",
    "\n",
    "# Red material\n",
    "fname_r = \"./misc/red_eps.csv\"\n",
    "fitter_r = FastDispersionFitter.from_file(fname_r, delimiter=\",\")\n",
    "fitter_r = fitter_r.updated_copy(k_data=fitter_r.k_data + 1e-2)\n",
    "mat_red, _ = fitter_r.fit(\n",
    "    max_num_poles=9, eps_inf=1.0, advanced_param=advanced_param, tolerance_rms=2e-2\n",
    ")\n",
    "\n",
    "# Green material\n",
    "fname_g = \"./misc/green_eps.csv\"\n",
    "fitter_g = FastDispersionFitter.from_file(fname_g, delimiter=\",\")\n",
    "fitter_g = fitter_g.updated_copy(k_data=fitter_g.k_data + 1e-2)\n",
    "mat_green, _ = fitter_g.fit(\n",
    "    max_num_poles=9, eps_inf=1.0, advanced_param=advanced_param, tolerance_rms=2e-2\n",
    ")\n",
    "\n",
    "# Blue material\n",
    "fname_b = \"./misc/blue_eps.csv\"\n",
    "fitter_b = FastDispersionFitter.from_file(fname_b, delimiter=\",\")\n",
    "fitter_b = fitter_b.updated_copy(k_data=fitter_b.k_data + 1e-2)\n",
    "mat_blue, _ = fitter_b.fit(\n",
    "    max_num_poles=9, eps_inf=1.0, advanced_param=advanced_param, tolerance_rms=2e-2\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let's look at the obtained refractive indices and extinction spectra of color filter materials. It is worth mentioning that here we are fitting hypothetical materials whose dispersion is very distinct from a real one, so we have focused in obtaining a good description of the extinction coefficients in detriment of the real part of refractive indices. When considering real materials, it is usually possible to fit both real and imaginary parts of the refractive index with high accuracy."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize=(12, 4), tight_layout=True)\n",
    "fitter_r.plot(mat_red, ax=ax1)\n",
    "ax1.set_title(\"Material R\")\n",
    "fitter_g.plot(mat_green, ax=ax2)\n",
    "ax2.set_title(\"Material G\")\n",
    "fitter_b.plot(mat_blue, ax=ax3)\n",
    "ax3.set_title(\"Material B\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Some necessary calculated parameters:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Compute the thickness of anti-reflection layer so that it is reflectiveless for the green light.\n",
    "n_SiN, _ = SiN.eps_complex_to_nk(SiN.eps_model(td.C_0 / lam_green))\n",
    "t_AR = lam_green / 4 / n_SiN\n",
    "\n",
    "# Total size of computational domain along z-direction.\n",
    "Lz = (\n",
    "    dPML\n",
    "    + height_len\n",
    "    + d_len_to_filter\n",
    "    + t_filter\n",
    "    + d_filter_to_shield\n",
    "    + t_shield\n",
    "    + d_shield_to_connect\n",
    "    + 2 * t_connect\n",
    "    + gap_connect\n",
    "    + d_connect_to_AR\n",
    "    + t_AR\n",
    "    + t_silicon\n",
    ")\n",
    "\n",
    "# Wavelength and frequency range for Gaussian source.\n",
    "freq_range = (td.C_0 / lam_range[1], td.C_0 / lam_range[0])\n",
    "freq0 = np.mean(np.array(freq_range))\n",
    "fwidth = freq0 / 3\n",
    "\n",
    "# Maximum simulation runtime.\n",
    "runtime = 100 / fwidth\n",
    "\n",
    "# Monitor frequency defined at the central wavelength of RGB colors.\n",
    "monitor_field_freqs = td.C_0 / np.array([lam_red, lam_green, lam_blue])\n",
    "monitor_flux_freqs = np.linspace(td.C_0 / lam_range[1], td.C_0 / lam_range[0], 200)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Structure construction\n",
    "Now, we are ready to construct each component of the sensor. To build the four silica hemispherical lenses, we first create four spheres. The extra parts of the spheres can be overridden with a silica layer. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Initialize with empty list\n",
    "structs = []\n",
    "\n",
    "# Center of the sphere.\n",
    "z0_len = Lz / 2 - dPML - radius_len\n",
    "x0_len = width_len / 2\n",
    "y0_len = width_len / 2\n",
    "\n",
    "# Names of the lens structures.\n",
    "len_names = [\"len blue\", \"len red\", \"len green1\", \"len green2\"]\n",
    "# Signs of their x,y center positions on the Bayer unit cell.\n",
    "len_sign = [[1, 1], [-1, -1], [-1, 1], [1, -1]]\n",
    "\n",
    "# Now we include the lens structures.\n",
    "for l_name, l_sign in zip(len_names, len_sign):\n",
    "    structs.append(\n",
    "        td.Structure(\n",
    "            geometry=td.Sphere(\n",
    "                center=(l_sign[0] * x0_len, l_sign[1] * y0_len, z0_len),\n",
    "                radius=radius_len,\n",
    "            ),\n",
    "            medium=Silica,\n",
    "            name=l_name,\n",
    "        )\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A silica layer covers from the base of the hemispherical lens to the top of the silicon photodetector."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Lower and upper boundary of the silica layer.\n",
    "z_lower_silica = -Lz / 2 + t_silicon\n",
    "z_upper_silica = Lz / 2 - dPML - height_len\n",
    "\n",
    "structs.append(\n",
    "    td.Structure(\n",
    "        geometry=td.Box.from_bounds(\n",
    "            rmin=(-td.inf, -td.inf, z_lower_silica),\n",
    "            rmax=(td.inf, td.inf, z_upper_silica),\n",
    "        ),\n",
    "        medium=Silica,\n",
    "        name=\"silica layer\",\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Construct the Bayer color filters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Lower and upper boundary of the color filter layer.\n",
    "z_upper_filter = z_upper_silica - d_len_to_filter\n",
    "z_lower_filter = z_upper_filter - t_filter\n",
    "\n",
    "ePML = 100  # um, extra length to extend into PML\n",
    "\n",
    "# Color filter names.\n",
    "cf_names = [\"blue filter\", \"red filter\", \"green1 filter\", \"green2 filter\"]\n",
    "# Color filter materials.\n",
    "cf_materials = [mat_blue, mat_red, mat_green, mat_green]\n",
    "# Minimum and maximum filter bound coordinates.\n",
    "cf_rmin = [[0, 0], [-ePML, -ePML], [-ePML, 0], [0, -ePML]]\n",
    "cf_rmax = [[ePML, ePML], [0, 0], [0, ePML], [ePML, 0]]\n",
    "\n",
    "# Now we include the color filter structures.\n",
    "for cf_name, cf_mat, r_min, r_max in zip(cf_names, cf_materials, cf_rmin, cf_rmax):\n",
    "    structs.append(\n",
    "        td.Structure(\n",
    "            geometry=td.Box.from_bounds(\n",
    "                rmin=(r_min[0], r_min[1], z_lower_filter),\n",
    "                rmax=(r_max[0], r_max[1], z_upper_filter),\n",
    "            ),\n",
    "            medium=cf_mat,\n",
    "            name=cf_name,\n",
    "        )\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Construct the metallic shields."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# A-coordinate of the center of metal shield.\n",
    "z0_shield = z_lower_filter - d_filter_to_shield - t_shield / 2\n",
    "\n",
    "# First, a metallic layer:\n",
    "structs.append(\n",
    "    td.Structure(\n",
    "        geometry=td.Box(\n",
    "            size=(td.inf, td.inf, t_shield),\n",
    "            center=(0, 0, z0_shield),\n",
    "        ),\n",
    "        medium=metal,\n",
    "        name=\"metal shield\",\n",
    "    )\n",
    ")\n",
    "\n",
    "# Then, make a hole:\n",
    "structs.append(\n",
    "    td.Structure(\n",
    "        geometry=td.Cylinder(\n",
    "            center=(0, 0, z0_shield),\n",
    "            axis=2,\n",
    "            length=t_shield,\n",
    "            radius=radius_shield,\n",
    "        ),\n",
    "        medium=Silica,\n",
    "        name=\"metal shield hole\",\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Construct the metallic interconnects."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Z-coordinate of the center of the interconnection planes.\n",
    "z0_connect = z0_shield - t_shield / 2 - d_shield_to_connect - t_connect / 2\n",
    "z1_connect = z0_connect - gap_connect - t_connect\n",
    "\n",
    "# Add the interconnections parallel to the sides of the unit cell.\n",
    "for i in range(4):\n",
    "    # Locate the the interconnections at x-, y- directions in different planes.\n",
    "    zc = z0_connect if (i % 2) else z1_connect\n",
    "\n",
    "    center = [0, zc]\n",
    "    center.insert(i % 2, distance_connect / 2 * (-1) ** (i // 2))\n",
    "\n",
    "    size = [td.inf, t_connect]\n",
    "    size.insert(i % 2, width_connect)\n",
    "    structs.append(\n",
    "        td.Structure(\n",
    "            geometry=td.Box(\n",
    "                center=center,\n",
    "                size=size,\n",
    "            ),\n",
    "            medium=metal,\n",
    "            name=\"interconnect \" + str(i),\n",
    "        )\n",
    "    )\n",
    "\n",
    "# Add the interconnections at the center of the unit cell.\n",
    "for i in range(2):\n",
    "    # Locate the the interconnections at x-, y- directions in different planes.\n",
    "    zc = z0_connect if (i % 2) else z1_connect\n",
    "\n",
    "    center = [0, 0, zc]\n",
    "    size = [td.inf, t_connect]\n",
    "    size.insert(i % 2, 2 * width_connect)\n",
    "    structs.append(\n",
    "        td.Structure(\n",
    "            geometry=td.Box(\n",
    "                center=center,\n",
    "                size=size,\n",
    "            ),\n",
    "            medium=metal,\n",
    "            name=\"interconnect_ground \" + str(i),\n",
    "        )\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we will construct the antireflection layer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# z-coordinate of the center\n",
    "z0_AR = z1_connect - t_connect / 2 - d_connect_to_AR - t_AR / 2\n",
    "\n",
    "structs.append(\n",
    "    td.Structure(\n",
    "        geometry=td.Box(\n",
    "            center=(0, 0, z0_AR),\n",
    "            size=(td.inf, td.inf, t_AR),\n",
    "        ),\n",
    "        medium=SiN,\n",
    "        name=\"anti-reflection\",\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And finally, we will finish the color filter structure by constructing the silicon photodetector layer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Z-coordinate of the silicon photodetector center. Add substantial thickness to extend into PML\n",
    "\n",
    "z0_silica = -Lz / 2 - ePML\n",
    "\n",
    "structs.append(\n",
    "    td.Structure(\n",
    "        geometry=td.Box(\n",
    "            center=(0, 0, z0_silica),\n",
    "            size=(td.inf, td.inf, (t_silicon + ePML) * 2),\n",
    "        ),\n",
    "        medium=Silicon,\n",
    "        name=\"silicon layer\",\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Boundary condition and grid setup\n",
    "The pixel is periodic in `x`- and `y`- directions and is sandwiched by two absorber layers along the z-direction. Since there is a structure made of a dispersive medium extending into the absorber, we apply an adiabatic absorber instead of PML to ensure the stability of the simulation.\n",
    "\n",
    "For spatial discretization, we apply the automatic meshing scheme where the mesh is finer inside the medium of a higher index of refraction."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Boundary condition\n",
    "absorber = td.Boundary.absorber()\n",
    "periodic = td.Boundary.periodic()\n",
    "bspec = td.BoundarySpec(x=periodic, y=periodic, z=absorber)\n",
    "\n",
    "# Grid specs\n",
    "grid_spec = td.GridSpec.auto(min_steps_per_wvl=10, wavelength=lam_green)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Source\n",
    "For simplicity, we are using a plane wave source at normal incidence."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "source = td.PlaneWave(\n",
    "    center=(0, 0, (Lz - dPML) / 2),\n",
    "    size=(td.inf, td.inf, 0),\n",
    "    source_time=td.GaussianPulse(\n",
    "        freq0=freq0,\n",
    "        fwidth=fwidth,\n",
    "    ),\n",
    "    direction=\"-\",\n",
    "    name=\"planewave\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Monitors"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will include field monitors to observe the field propagating from the source to the silicon photodetectors. In addition, four flux monitors will be added to calculate the pixel power at the dielectric-silicon interface. A fill factor of 50% will be used to simulate the active region area of the photodetectors."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "monitors = []\n",
    "z_silicon_top = -Lz / 2 + t_silicon\n",
    "\n",
    "# Field monitor in xy plane just below antireflection layer.\n",
    "monitors.append(\n",
    "    td.FieldMonitor(\n",
    "        center=(0, 0, -Lz / 2 + t_silicon - 0.001),\n",
    "        size=(td.inf, td.inf, 0),\n",
    "        freqs=monitor_field_freqs,\n",
    "        name=\"field_xy_silicon\",\n",
    "    )\n",
    ")\n",
    "\n",
    "# Field monitor in yz plane crossing the center blue and green filter.\n",
    "monitors.append(\n",
    "    td.FieldMonitor(\n",
    "        center=(width_len / 2, 0, 0),\n",
    "        size=(0, td.inf, td.inf),\n",
    "        freqs=monitor_field_freqs,\n",
    "        name=\"field_yz_BG\",\n",
    "    )\n",
    ")\n",
    "\n",
    "# Field monitor in yz plane crossing the center red and green filter.\n",
    "monitors.append(\n",
    "    td.FieldMonitor(\n",
    "        center=(-width_len / 2, 0, 0),\n",
    "        size=(0, td.inf, td.inf),\n",
    "        freqs=monitor_field_freqs,\n",
    "        name=\"field_yz_GR\",\n",
    "    )\n",
    ")\n",
    "\n",
    "# Photodetector flux monitors.\n",
    "fmon_names = [\n",
    "    \"flux_si_blue\",\n",
    "    \"flux_si_red\",\n",
    "    \"flux_si_green1\",\n",
    "    \"flux_si_green2\",\n",
    "]  # Names of the RGGB flux monitors.\n",
    "fmon_sign = [\n",
    "    [1, 1],\n",
    "    [-1, -1],\n",
    "    [-1, 1],\n",
    "    [1, -1],\n",
    "]  # Signs of their x,y center positions on the Bayer unit cell.\n",
    "\n",
    "for f_name, f_sign in zip(fmon_names, fmon_sign):\n",
    "    monitors.append(\n",
    "        td.FluxMonitor(\n",
    "            center=(f_sign[0] * width_len / 2, f_sign[1] * width_len / 2, z_silicon_top),\n",
    "            size=(0.7 * width_len, 0.7 * width_len, 0),\n",
    "            freqs=monitor_flux_freqs,\n",
    "            name=f_name,\n",
    "        )\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Setup simulation object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "sim = td.Simulation(\n",
    "    size=(Lx, Ly, Lz),\n",
    "    grid_spec=grid_spec,\n",
    "    structures=structs,\n",
    "    sources=[source],\n",
    "    monitors=monitors,\n",
    "    run_time=runtime,\n",
    "    boundary_spec=bspec,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Structure Visualization\n",
    "We can see the 3D CMOS RGB sensor structure as below:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <div class=\"simulation-viewer\" data-width=\"800\" data-height=\"800\" data-simulation=\"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\" ></div>\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://tidy3d.simulation.cloud/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.style.cssText = `width:${frame.width}px;height:${frame.height}px;max-width:none;border:0;display:block`\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",
       "                                frame.contentWindow.postMessage({ type: 'jupyter', uuid, value: node.dataset.simulation, fileType: 'hdf5'}, '*');\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.plot_3d()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Structure Visualization\n",
    "Let's observe the simulation set up to verify if all the components are in their correct places."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 4, figsize=(10, 5), tight_layout=True)\n",
    "sim.plot(x=width_len / 1.99, ax=ax[0])\n",
    "sim.plot(y=width_len / 2, ax=ax[1])\n",
    "sim.plot(x=-width_len / 1.99, ax=ax[2])\n",
    "sim.plot(y=-width_len / 2, ax=ax[3])\n",
    "ax[0].set_title(\"G1   B\")\n",
    "ax[1].set_title(\"G2   B\")\n",
    "ax[2].set_title(\"R   G2\")\n",
    "ax[3].set_title(\"R   G1\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Simulation Run\n",
    "Now, we can send the set up information to the cloud and run the simulation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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\">19:36:18 CEST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'RGB CMOS Sensor'</span> with task_id                       \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-23816c31-b0f7-4605-b068-dfe71542d118'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>. \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:36:18 CEST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'RGB CMOS Sensor'\u001b[0m with task_id                       \n",
       "\u001b[2;36m              \u001b[0m\u001b[32m'fdve-23816c31-b0f7-4605-b068-dfe71542d118'\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-23816c31-b0f7-4605-b068-dfe71542d118\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-23816c31-b0</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-23816c31-b0f7-4605-b068-dfe71542d118\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">f7-4605-b068-dfe71542d118'</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=860445;https://tidy3d.simulation.cloud/workbench?taskId=fdve-23816c31-b0f7-4605-b068-dfe71542d118\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=642319;https://tidy3d.simulation.cloud/workbench?taskId=fdve-23816c31-b0f7-4605-b068-dfe71542d118\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=860445;https://tidy3d.simulation.cloud/workbench?taskId=fdve-23816c31-b0f7-4605-b068-dfe71542d118\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=234947;https://tidy3d.simulation.cloud/workbench?taskId=fdve-23816c31-b0f7-4605-b068-dfe71542d118\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=860445;https://tidy3d.simulation.cloud/workbench?taskId=fdve-23816c31-b0f7-4605-b068-dfe71542d118\u001b\\\u001b[32m-23816c31-b0\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=860445;https://tidy3d.simulation.cloud/workbench?taskId=fdve-23816c31-b0f7-4605-b068-dfe71542d118\u001b\\\u001b[32mf7-4605-b068-dfe71542d118'\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=378773;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": "13758e5d9ce74493a13084e718708cd2",
       "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\">19:36:21 CEST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1.780</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;36m19:36:21 CEST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m1.780\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\">19:36:22 CEST </span>status = queued                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:36:22 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": "0fa9ec5f3f034710a85e0f731a2a6f45",
       "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\">19:36:31 CEST </span>starting up solver                                                \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:36:31 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": "cd3efb65dc6447498c7a22b1411ea77f",
       "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\">19:37:59 CEST </span>early shutoff detected at <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">64</span>%, exiting.                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:37:59 CEST\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected at \u001b[1;36m64\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\">19:38:00 CEST </span>status = postprocess                                              \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:38:00 CEST\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                              \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "fdf5ddedde8b47c4b1f9f2b0679bc0ba",
       "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\">19:38:02 CEST </span>status = success                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:38:02 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\">19:38:04 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-23816c31-b0f7-4605-b068-dfe71542d118\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-23816c31-b0</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">              </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-23816c31-b0f7-4605-b068-dfe71542d118\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">f7-4605-b068-dfe71542d118'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:38:04 CEST\u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                         \n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=828732;https://tidy3d.simulation.cloud/workbench?taskId=fdve-23816c31-b0f7-4605-b068-dfe71542d118\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=645051;https://tidy3d.simulation.cloud/workbench?taskId=fdve-23816c31-b0f7-4605-b068-dfe71542d118\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=828732;https://tidy3d.simulation.cloud/workbench?taskId=fdve-23816c31-b0f7-4605-b068-dfe71542d118\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=173369;https://tidy3d.simulation.cloud/workbench?taskId=fdve-23816c31-b0f7-4605-b068-dfe71542d118\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=828732;https://tidy3d.simulation.cloud/workbench?taskId=fdve-23816c31-b0f7-4605-b068-dfe71542d118\u001b\\\u001b[4;34m-23816c31-b0\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m              \u001b[0m\u001b]8;id=828732;https://tidy3d.simulation.cloud/workbench?taskId=fdve-23816c31-b0f7-4605-b068-dfe71542d118\u001b\\\u001b[4;34mf7-4605-b068-dfe71542d118'\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": "cb7360c8e67b4422bc36b5df7cdfcaf4",
       "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\">19:38:08 CEST </span>loading simulation from simulation_data.hdf5                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m19:38:08 CEST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_data = web.run(sim, task_name=\"RGB CMOS Sensor\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Post Run Analysis\n",
    "Once the simulation has completed, we can take a look at the simulation log and afterward analyze the results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[17:36:26] USER: Simulation domain Nx, Ny, Nz: [390, 390, 430]                  \n",
      "           USER: Applied symmetries: (0, 0, 0)                                  \n",
      "           USER: Number of computational grid points: 6.5707e+07.               \n",
      "           USER: Subpixel averaging method: SubpixelSpec(attrs={},              \n",
      "           dielectric=PolarizedAveraging(attrs={}, type='PolarizedAveraging'),  \n",
      "           metal=Staircasing(attrs={}, type='Staircasing'),                     \n",
      "           pec=PECConformal(attrs={}, type='PECConformal',                      \n",
      "           timestep_reduction=0.3, edge_singularity_correction=False),          \n",
      "           pmc=Staircasing(attrs={}, type='Staircasing'),                       \n",
      "           lossy_metal=SurfaceImpedance(attrs={}, type='SurfaceImpedance',      \n",
      "           timestep_reduction=0.0, edge_singularity_correction=False),          \n",
      "           type='SubpixelSpec')                                                 \n",
      "           USER: Number of time steps: 3.5346e+04                               \n",
      "           USER: Automatic shutoff factor: 1.00e-05                             \n",
      "           USER: Time step (s): 1.4413e-17                                      \n",
      "           USER:                                                                \n",
      "                                                                                \n",
      "[17:36:27] USER: Compute source modes time (s):     1.1070                      \n",
      "[17:36:28] USER: Rest of setup time (s):            1.2258                      \n",
      "[17:36:40] USER: Compute monitor modes time (s):    0.0001                      \n",
      "[17:37:56] USER: Solver time (s):                   81.3260                     \n",
      "           USER: Time-stepping speed (cells/s):     1.99e+10                    \n",
      "[17:37:57] USER: Post-processing time (s):          1.2186                      \n",
      "\n",
      " ====== SOLVER LOG ====== \n",
      "\n",
      "Processing grid and structures...\n",
      "Building FDTD update coefficients...\n",
      "Solver setup time (s):             6.2531\n",
      "\n",
      "Running solver for 35346 time steps...\n",
      "- Time step    281 / time 4.05e-15s (  0 % done), field decay: 1.00e+00\n",
      "- Time step   1413 / time 2.04e-14s (  4 % done), field decay: 1.05e-01\n",
      "- Time step   2827 / time 4.07e-14s (  8 % done), field decay: 1.98e-02\n",
      "- Time step   4241 / time 6.11e-14s ( 12 % done), field decay: 7.32e-03\n",
      "- Time step   5655 / time 8.15e-14s ( 16 % done), field decay: 1.43e-03\n",
      "- Time step   7069 / time 1.02e-13s ( 20 % done), field decay: 6.48e-04\n",
      "- Time step   8483 / time 1.22e-13s ( 24 % done), field decay: 2.75e-04\n",
      "- Time step   9896 / time 1.43e-13s ( 28 % done), field decay: 1.63e-04\n",
      "- Time step  11310 / time 1.63e-13s ( 32 % done), field decay: 1.01e-04\n",
      "- Time step  12724 / time 1.83e-13s ( 36 % done), field decay: 4.95e-05\n",
      "- Time step  14138 / time 2.04e-13s ( 40 % done), field decay: 5.36e-05\n",
      "- Time step  15552 / time 2.24e-13s ( 44 % done), field decay: 2.48e-05\n",
      "- Time step  16966 / time 2.45e-13s ( 48 % done), field decay: 2.75e-05\n",
      "- Time step  18379 / time 2.65e-13s ( 52 % done), field decay: 1.68e-05\n",
      "- Time step  19793 / time 2.85e-13s ( 56 % done), field decay: 1.12e-05\n",
      "- Time step  21207 / time 3.06e-13s ( 60 % done), field decay: 1.12e-05\n",
      "- Time step  22621 / time 3.26e-13s ( 64 % done), field decay: 8.35e-06\n",
      "Field decay smaller than shutoff factor, exiting solver.\n",
      "Time-stepping time (s):            74.8622\n",
      "Data write time (s):               0.2046\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(sim_data.log)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Field profile\n",
    "Let's visualize the field profile at the central wavelength of each RBG color. First, we illustrate the propagation of the light by showing the fields in the `yz` cross-section.\n",
    "\n",
    "In the figure below, the cross-section passes through the G1 and B filters. As you can see, the red light is largely absorbed, while the blue and the green light pass through the corresponding filters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 3, figsize=(12, 4))\n",
    "sim_data.plot_field(\"field_yz_BG\", \"E\", val=\"abs^2\", ax=ax[0], f=td.C_0 / lam_red)\n",
    "sim_data.plot_field(\"field_yz_BG\", \"E\", val=\"abs^2\", ax=ax[1], f=td.C_0 / lam_green)\n",
    "sim_data.plot_field(\"field_yz_BG\", \"E\", val=\"abs^2\", ax=ax[2], f=td.C_0 / lam_blue)\n",
    "ax[0].set_title(\"$\\\\lambda = 650$ nm\")\n",
    "ax[1].set_title(\"$\\\\lambda = 550$ nm\")\n",
    "ax[2].set_title(\"$\\\\lambda = 450$ nm\")\n",
    "fig.suptitle(\"G1 B sensor cross-section\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Similarly, in the figure below, the cross-section passes through the R and G2 filters. Consequently, the blue light is largely absorbed, while the red and the green light pass through the corresponding filters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 3, figsize=(12, 4))\n",
    "sim_data.plot_field(\"field_yz_GR\", \"E\", val=\"abs^2\", ax=ax[0], f=td.C_0 / lam_red)\n",
    "sim_data.plot_field(\"field_yz_GR\", \"E\", val=\"abs^2\", ax=ax[1], f=td.C_0 / lam_green)\n",
    "sim_data.plot_field(\"field_yz_GR\", \"E\", val=\"abs^2\", ax=ax[2], f=td.C_0 / lam_blue)\n",
    "ax[0].set_title(\"$\\\\lambda = 650$ nm\")\n",
    "ax[1].set_title(\"$\\\\lambda = 550$ nm\")\n",
    "ax[2].set_title(\"$\\\\lambda = 450$ nm\")\n",
    "fig.suptitle(\"R G2 sensor cross-section\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, let's visualize the field on the top of the silicon photodetector layer. The figure below shows the fields in the xy cross-section. Recall that the red filter takes place in the lower left part of the cross-section, the blue in the upper right, and the green in the lower right and upper left. As expected, the field at each color is concentrated in the corresponding regions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x400 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 3, tight_layout=True, figsize=(14, 4))\n",
    "sim_data.plot_field(\"field_xy_silicon\", \"E\", val=\"abs^2\", ax=ax[0], f=td.C_0 / lam_red)\n",
    "sim_data.plot_field(\"field_xy_silicon\", \"E\", val=\"abs^2\", ax=ax[1], f=td.C_0 / lam_green)\n",
    "sim_data.plot_field(\"field_xy_silicon\", \"E\", val=\"abs^2\", ax=ax[2], f=td.C_0 / lam_blue)\n",
    "ax[0].set_title(\"R\")\n",
    "ax[1].set_title(\"G\")\n",
    "ax[2].set_title(\"B\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Optical efficiency"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The optical efficiency ($OE$) is defined as the ratio of the power flux routed to the photodetector of a particular color channel ($P_{CH}$) to the power flux incident on the entire device ($P_{0}$). \n",
    "\n",
    "$$\n",
    "OE = \\frac{P_{CH}}{P_{0}}\n",
    "$$\n",
    "\n",
    "In the figure below, we show the optical efficiency as a function of wavelengths for each color channel. The central wavelength of each color is highlighted with the dashed lines. The flux is automatically normalized by the power flux incident on the entire device. Thus, each flux monitor contains the optical efficiency as a function of frequency."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "flux_red = -sim_data[\"flux_si_red\"].flux\n",
    "flux_blue = -sim_data[\"flux_si_blue\"].flux\n",
    "flux_green1 = -sim_data[\"flux_si_green1\"].flux\n",
    "flux_green2 = -sim_data[\"flux_si_green2\"].flux\n",
    "flux_green = flux_green1 + flux_green2\n",
    "\n",
    "fig, ax = plt.subplots(1, figsize=(5, 4))\n",
    "lambda_flux = td.C_0 / monitor_flux_freqs\n",
    "ax.plot(lambda_flux, flux_green, \"g\")\n",
    "ax.plot(lambda_flux, flux_red, \"r\")\n",
    "ax.plot(lambda_flux, flux_blue, \"b\")\n",
    "ax.set_xlabel(\"Wavelength ($\\\\mu m$)\")\n",
    "ax.set_ylabel(\"OE\")\n",
    "ax.set_xlim(0.4, 0.7)\n",
    "ax.set_ylim(0, 0.25)\n",
    "\n",
    "ax.vlines(0.45, 0, 0.25, linestyles=\"dashed\", colors=\"b\")\n",
    "ax.vlines(0.55, 0, 0.25, linestyles=\"dashed\", colors=\"g\")\n",
    "ax.vlines(0.65, 0, 0.25, linestyles=\"dashed\", colors=\"r\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The above figure shows that the optical efficiency at the central wavelength allows the distinction of colors. However, there is significant room for improvement."
   ]
  }
 ],
 "metadata": {
  "applications": [
   "Metamaterials, gratings, and other periodic structures",
   "Sensors"
  ],
  "description": "This notebook demonstrates how to set up and run a FDTD simulation of a RGB CMOS image sensor.",
  "feature_image": "./img/rgb_cmos_sensor.png",
  "features": [
   "Material fitting"
  ],
  "kernelspec": {
   "display_name": ".venv",
   "language": "python",
   "name": "python3"
  },
  "keywords": "CMOS sensor, RBG CMOS sensor, RGB CMOS image sensor, image sensor, RGB image sensor, Bayer cell, 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": "How to perform the simulation of a RGB CMOS image sensor in Tidy3D FDTD"
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
