NonHermitianMetagratings.ipynb

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   "source": [
    "# Unidirectional SPP from non-Hermitian metagratings"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0540bd37",
   "metadata": {},
   "source": [
    "Non-Hermitian systems are open systems that can exchange energy, matter, or information with their surroundings through the engineering of gain or loss materials. While quantum mechanics traditionally requires Hamiltonians to be Hermitian to produce real eigenvalues, it's been discovered that a system with a spatially varying complex potential energy can still have real eigenvalues if it obeys a certain symmetry known as Parity-Time (PT) symmetry.\n",
    "\n",
    "One concept that has gained particular attention in non-Hermitian photonics is the phenomenon of \"exceptional points.\" These are points in parameter space at which the eigenvalues and the eigenvectors of a non-Hermitian system coincide. Around these exceptional points, systems can have unique and often counterintuitive properties. For instance, light in these systems can exhibit uni-directional propagation, enhanced sensitivity to external parameters, or unusual scattering behavior. Non-Hermitian photonics has potential applications in many areas, including the design of new types of lasers, sensors, and photonic devices with novel properties. \n",
    "\n",
    "This notebook demonstrates the unidirectional surface plasmon polariton (SPP) propagation from non-Hermitian metagratings. The design is adapted from [Yihao Xu et al. ,Subwavelength control of light transport at the exceptional point by non-Hermitian metagratings. Sci.  Adv. 9, eadf3510(2023)](https://www.science.org/doi/10.1126/sciadv.adf3510).\n",
    "\n",
    "<img src=\"img/nonhermitian_metagrating.png\" width=\"500\" alt=\"Schematic of the non-Hermitian metagrating\">\n",
    "\n",
    "For more interesting contents in the realm of nanophotonics, please check out the case studies on [Anderson localization](https://www.flexcompute.com/tidy3d/examples/notebooks/AndersonLocalization/), [hyperbolic polaritons](https://www.flexcompute.com/tidy3d/examples/notebooks/NanostructuredBoronNitride/), and [plasmonic nanoantennas](https://www.flexcompute.com/tidy3d/examples/notebooks/PlasmonicYagiUdaNanoantenna/). For more simulation examples, please visit our [examples page](https://www.flexcompute.com/tidy3d/examples/). If you are new to the finite-difference time-domain (FDTD) method, we highly recommend going through our [FDTD101](https://www.flexcompute.com/fdtd101/) tutorials. FDTD simulations can diverge due to various reasons. If you run into any simulation divergence issues, please follow the steps outlined in our [troubleshooting guide](https://www.flexcompute.com/tidy3d/examples/notebooks/DivergedFDTDSimulation/) to resolve it."
   ]
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   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import tidy3d as td\n",
    "import tidy3d.web as web\n",
    "from tidy3d.plugins.dispersion import DispersionFitter"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ae504163",
   "metadata": {},
   "source": [
    "## Simulation Setup "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "62091a1b",
   "metadata": {},
   "source": [
    "Define the basic model parameters including the simulation wavelength/frequency and the metagrating geometric parameters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7fef6fca",
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   "source": [
    "lda0 = 1.15 # simulation wavelength\n",
    "freq0 = td.C_0/lda0 # simulation frequency\n",
    "\n",
    "w1 = 0.083 # width of the first nanostrip in the unit cell\n",
    "w2 = 0.162 # width of the second nanostrip in the unit cell\n",
    "t1 = 0.08  # thickness of the first nanostrip\n",
    "t2 = 0.03  # thickness of the bottom layer of the second nanostrip\n",
    "t3 = 0.022 # thickness of the top layer of the second nanostrip\n",
    "s = 0.35  # center-to-center distance between the nanostrips\n",
    "p = 1.14  # grating period\n",
    "t_au = 0.06  # gold layer thickness\n",
    "N = 9  # number of unit cells\n",
    "inf_eff = 1e3 # effective infinity"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7279dd10",
   "metadata": {},
   "source": [
    "The metagrating utilizes four materials: a silicon dioxide substrate, a gold thin film, germanium nanostrips, and chromium nanostrips. These materials can be defined in different ways. Specifically, we use the gold medium directly from the [material library](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/material_library.html). The germanium is defined using the [from_nk](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Medium.html#tidy3d.Medium.from_nk) method by specifying the real and imaginary parts of the refractive index at the simulation frequency. Silicon dioxide is considered as a lossless medium. Chromium is modeled as a dispersive medium by fitting the raw data from experimental measurements. \n",
    "\n",
    "In this simulation, we are only concerned about one frequency, so in principle the dispersive fitting is not necessary. However, chromium has $Re(\\varepsilon)<1$ at 1150 nm. In Tidy3D, we require the nondispersive medium to have $Re(\\varepsilon)\\ge 1$. Therefore, it can not be defined using the [from_nk](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Medium.html#tidy3d.Medium.from_nk) method directly and dispersive fitting is the only option. \n",
    "\n",
    "The raw data file `Cr_Sytchkova.csv` can be found on the refractive index [database](https://refractiveindex.info/?shelf=main&book=Cr&page=Sytchkova) or on our github [repo](https://github.com/flexcompute/tidy3d-notebooks/tree/develop/misc)."
   ]
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       "Output()"
      ]
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       "\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\">[14:47:33] </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Unable to fit with RMS error under               </span> <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/plugins/dispersion/fit.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">fit.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/plugins/dispersion/fit.py#321\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">321</span></a>\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\">0.01</span><span style=\"color: #800000; text-decoration-color: #800000\">                                   </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">          </span>\n",
       "</pre>\n"
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       "\u001b[2;36m[14:47:33]\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Unable to fit with RMS error under               \u001b[0m \u001b]8;id=22108;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/plugins/dispersion/fit.py\u001b\\\u001b[2mfit.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=961413;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/plugins/dispersion/fit.py#321\u001b\\\u001b[2m321\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b[32m'tolerance_rms'\u001b[0m\u001b[31m of \u001b[0m\u001b[1;36m0.01\u001b[0m\u001b[31m                                   \u001b[0m \u001b[2m          \u001b[0m\n"
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   "source": [
    "# define gold medium\n",
    "Au = td.material_library['Au']['Olmon2012stripped']  \n",
    "\n",
    "# define Ge medium\n",
    "Ge = td.Medium.from_nk(n=4.6403, k=0.2519, freq=freq0)\n",
    "\n",
    "# define SiO2 medium\n",
    "SiO2 = td.Medium(permittivity=1.45**2)\n",
    "\n",
    "# define Cr medium\n",
    "fname = \"misc/Cr_Sytchkova.csv\"  # read the refractive index data from a csv file\n",
    "fitter = DispersionFitter.from_file(fname, delimiter=\",\")  # construct a fitter\n",
    "Cr, rms_error = fitter.fit(num_poles=4, num_tries=10)\n",
    "fitted_nk = Cr.nk_model(freq0)\n"
   ]
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   "id": "2f0b68de",
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   "source": [
    "After the fitting, we see a warning that the fitting RMS error didn't get lower than the threshold. We can inspect the fitting result of chromium to see if the fitting is sufficiently good. Here we do see the fitting is quite resonable.  "
   ]
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fitter.plot(Cr)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "22049a80",
   "metadata": {},
   "source": [
    "Next, we define the metagrating structures. The `N` unit cells can be defined by using a simple for loop."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "138dc69a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T21:47:34.606158Z",
     "iopub.status.busy": "2023-08-18T21:47:34.606010Z",
     "iopub.status.idle": "2023-08-18T21:47:34.629784Z",
     "shell.execute_reply": "2023-08-18T21:47:34.629277Z"
    }
   },
   "outputs": [],
   "source": [
    "# define the nanostrips that make up the unit cells\n",
    "grating = []\n",
    "for i in range(N):\n",
    "    geo = td.Box(center=(-s/2+i*p-(N-1)*p/2, 0, t1/2), size=(w1,td.inf,t1))\n",
    "    grating.append(td.Structure(geometry=geo, medium=Ge))\n",
    "    \n",
    "    geo = td.Box(center=(s/2+i*p-(N-1)*p/2, 0, t2/2), size=(w1,td.inf,t2))\n",
    "    grating.append(td.Structure(geometry=geo, medium=Ge))\n",
    "    \n",
    "    geo = td.Box(center=(s/2+i*p-(N-1)*p/2, 0, t2+t3/2), size=(w1,td.inf,t3))\n",
    "    grating.append(td.Structure(geometry=geo, medium=Cr))\n",
    "    \n",
    "# define the substrate\n",
    "substrate_geo = td.Box.from_bounds(rmin=(-inf_eff,-inf_eff,-inf_eff), rmax=(inf_eff,inf_eff,-t_au))\n",
    "substrate = td.Structure(geometry=substrate_geo, medium=SiO2)\n",
    "\n",
    "# define the gold film\n",
    "gold_film_geo = td.Box(center=(0,0,-t_au/2), size=(inf_eff, inf_eff, t_au))\n",
    "gold_film = td.Structure(geometry=gold_film_geo, medium=Au)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d2b091e5",
   "metadata": {},
   "source": [
    "For excitation, we define a [GaussianBeam](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.GaussianBeam.html) incident on the metagrating. The `waist_radius` is set to five grating periods to ensure the entire grating array is covered by the beam. \n",
    "\n",
    "To visualize the SPP propagation, a [FieldMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldMonitor.html) is defined. Two [FluxMonitors](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FluxMonitor.html) are defined to measure the power transmissions of the SPP to the left and right. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ff030f3f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T21:47:34.631863Z",
     "iopub.status.busy": "2023-08-18T21:47:34.631712Z",
     "iopub.status.idle": "2023-08-18T21:47:34.663259Z",
     "shell.execute_reply": "2023-08-18T21:47:34.662758Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[14:47:34] </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Default value for the field monitor          </span> <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/components/monitor.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">monitor.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/components/monitor.py#261\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">261</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'colocate'</span><span style=\"color: #800000; text-decoration-color: #800000\"> setting has changed to </span><span style=\"color: #008000; text-decoration-color: #008000\">'True'</span><span style=\"color: #800000; text-decoration-color: #800000\"> in Tidy3D    </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">              </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.4</span><span style=\"color: #800000; text-decoration-color: #800000\">.</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span><span style=\"color: #800000; text-decoration-color: #800000\">. All field components will be colocated to the  </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">              </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #800000; text-decoration-color: #800000\">grid boundaries. Set to </span><span style=\"color: #008000; text-decoration-color: #008000\">'False'</span><span style=\"color: #800000; text-decoration-color: #800000\"> to get the raw fields </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">              </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #800000; text-decoration-color: #800000\">on the Yee grid instead.                              </span> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">              </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[14:47:34]\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Default value for the field monitor          \u001b[0m \u001b]8;id=44359;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/components/monitor.py\u001b\\\u001b[2mmonitor.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=878898;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/components/monitor.py#261\u001b\\\u001b[2m261\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b[32m'colocate'\u001b[0m\u001b[31m setting has changed to \u001b[0m\u001b[32m'True'\u001b[0m\u001b[31m in Tidy3D    \u001b[0m \u001b[2m              \u001b[0m\n",
       "\u001b[2;36m           \u001b[0m\u001b[1;36m2.4\u001b[0m\u001b[31m.\u001b[0m\u001b[1;36m0\u001b[0m\u001b[31m. All field components will be colocated to the  \u001b[0m \u001b[2m              \u001b[0m\n",
       "\u001b[2;36m           \u001b[0m\u001b[31mgrid boundaries. Set to \u001b[0m\u001b[32m'False'\u001b[0m\u001b[31m to get the raw fields \u001b[0m \u001b[2m              \u001b[0m\n",
       "\u001b[2;36m           \u001b[0m\u001b[31mon the Yee grid instead.                              \u001b[0m \u001b[2m              \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gaussian_beam = td.GaussianBeam(\n",
    "    size=(td.inf, td.inf, 0),\n",
    "    center=(0, 0, 5*lda0),\n",
    "    source_time=td.GaussianPulse(freq0=freq0, fwidth=freq0/10),\n",
    "    direction=\"-\",\n",
    "    waist_radius=5*p,\n",
    ")\n",
    "\n",
    "field_monitor = td.FieldMonitor(\n",
    "    size=(td.inf, 0, td.inf), \n",
    "    freqs=[freq0], \n",
    "    interval_space=(2,1,2),\n",
    "    name=\"field\"\n",
    ")\n",
    "\n",
    "flux_monitor_right = td.FluxMonitor(\n",
    "    center=(23*p,0,0),\n",
    "    size=(0, td.inf, 2*lda0),\n",
    "    freqs=[freq0],\n",
    "    name=\"flux_right\",\n",
    ")\n",
    "\n",
    "flux_monitor_left = td.FluxMonitor(\n",
    "    center=(-23*p,0,0),\n",
    "    size=(0, td.inf, 2*lda0),\n",
    "    freqs=[freq0],\n",
    "    name=\"flux_left\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c6304d09",
   "metadata": {},
   "source": [
    "Define the Tidy3D [Simulation](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Simulation.html). The simulation is 2D so periodic boundary condition is applied to the direction with zero size (the $y$ direction in this case)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "cca3cd88",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T21:47:34.665176Z",
     "iopub.status.busy": "2023-08-18T21:47:34.665018Z",
     "iopub.status.idle": "2023-08-18T21:47:34.704896Z",
     "shell.execute_reply": "2023-08-18T21:47:34.704374Z"
    }
   },
   "outputs": [],
   "source": [
    "# simulation domain size\n",
    "Lx = 50*p\n",
    "Ly = 0\n",
    "Lz = 7*lda0\n",
    "\n",
    "# simulation run time\n",
    "run_time = 5e-13\n",
    "\n",
    "# define simulation\n",
    "sim = td.Simulation(\n",
    "        center=(0, 0, 2*lda0),\n",
    "        size=(Lx, Ly, Lz),\n",
    "        grid_spec=td.GridSpec.auto(min_steps_per_wvl=30, wavelength=lda0),\n",
    "        structures=grating + [substrate, gold_film],\n",
    "        sources=[gaussian_beam],\n",
    "        monitors=[field_monitor, flux_monitor_right, flux_monitor_left],\n",
    "        run_time=run_time,\n",
    "        boundary_spec=td.BoundarySpec(\n",
    "            x=td.Boundary.pml(), y=td.Boundary.periodic(), z=td.Boundary.pml()\n",
    "        ),  \n",
    ")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c7cc7eb4",
   "metadata": {},
   "source": [
    "Visualize the simulation setup."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "6e31921c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T21:47:34.707090Z",
     "iopub.status.busy": "2023-08-18T21:47:34.706931Z",
     "iopub.status.idle": "2023-08-18T21:47:34.973771Z",
     "shell.execute_reply": "2023-08-18T21:47:34.973120Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sim.plot(y=0)\n",
    "ax.set_aspect('auto')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "10f22ff0",
   "metadata": {},
   "source": [
    "Since the grating structures are small compared to the simulation domain, we can zoom in to see them more clearly."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "3502259c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T21:47:34.976544Z",
     "iopub.status.busy": "2023-08-18T21:47:34.976202Z",
     "iopub.status.idle": "2023-08-18T21:47:35.306755Z",
     "shell.execute_reply": "2023-08-18T21:47:35.306165Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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BhtVqNTp06GCkpqYaZWVlhmHUHewM44fXm4SHhxvNmjUzQkJCjIceesgptHz11VfGf//3fxsdO3Y0vLy8jMDAQGPIkCHG5s2bHX1yc3ONO++80wgNDTU8PT2N0NBQY8yYMcbnn39eZ+31HVdeXm78/ve/N7p27WpYrVajZcuWRmRkpDFnzhyjpKTEqe+qVauM3r17O/oNGjTIyMnJcWy32+3GyJEjjRYtWhiSHK8+qSnYGYZhrFu3zjFfYGCgkZiYaHz77bdOfa4m2BmGYWzfvt3o37+/4e3tbYSGhhpPPPGE8f7771er5+zZs8a9995rBAQEGJLq/eqTHwPhM888U6/+DfHiiy8anTt3Njw9PY2OHTsaixYtcnq9jGHUHuwuXLhgPPbYY4bNZjOsVqvRt29fIzs7u8b9fPTRR8aAAQMMLy8vIygoyEhNTTVKS0uv+XoAV+NHigEA6rR48WJNmTJFR44c0S233OLqcgDUgWAHAKiVYRjq2bOnWrVqddkHWQC4Hq87AQBUc+7cOb3zzjv68MMP9emnn+rtt992dUkA6oEzdgCAao4cOaL27dsrICBADz/8sJ5++mlXlwSgHtzudSfLli1Tu3bt5OXlpejoaO3atavWvgcOHFBCQoLatWsnDw8PZWZmXtGcFy9eVGpqqlq1aiVfX18lJCSoqKjoWi4LAG4o7dq1k2EYOnPmDKEOcCNuFezWrVun9PR0zZo1S3v27FHPnj0VFxfn+JFAP3f+/Hl16NBBzz77rGw22xXPOWXKFL377rtav369tm7dqmPHjumuu+5qlDUCAABcKbe6FBsdHa2+fftq6dKlkn74IeZhYWGaOHGipk2bVufYdu3aafLkyZo8eXKD5iwpKVFQUJDWrFmju+++W5J06NAhRUREKD8/X/3797/2CwUAALgCbvPwRHl5uQoKCjR9+nRHm8ViUWxsrPLz8xttzoKCAlVUVDj9bMTw8HDdcssttQa7srIypzfNV1VV6fTp02rVqlWDf6QPAAD4ZTEMQ99//71CQ0NlsTTs4qrbBLtTp06psrJSISEhTu0hISE6dOhQo81pt9vl6empgICAan3sdnuN82ZkZGjOnDlXVBMAAIAkffPNN7r55psbNMZtgp07mT59utLT0x3fS0pKdMstt+ibbc/Kz9fLhZUBAIAbXenZiwq7fZpatGjR4LFuE+xat26tJk2aVHsataioqNYHI67FnDabTeXl5SouLnY6a1fXfq1Wq6xWa7V2P18v+bXwvqJaAQDAL8uV3L7lNk/Fenp6KjIyUrm5uY62qqoq5ebmKiYmptHmjIyMVLNmzZz6HD58WEePHr3i/QIAADQGtzljJ0np6em6//77FRUVpX79+ikzM1Pnzp1TUlKSJGncuHG66aablJGRIemHhyM+++wzx+8LCwu1b98++fr66tZbb63XnP7+/kpOTlZ6eroCAwPl5+eniRMnKiYmhidiAQDADcWtgt0999yjkydPaubMmbLb7erVq5eys7MdDz8cPXrU6emRY8eOqXfv3o7vzz33nJ577jkNGjRIW7ZsqdeckrRo0SJZLBYlJCSorKxMcXFxWr58+fVZNAAAQD251Xvs3FVpaan8/f1VsieTe+wAAECdSr+/IP8+k1VSUiI/P78GjXWbe+wAAABQN4IdAACASRDsAAAATIJgBwAAYBIEOwAAAJMg2AEAAJgEwQ4AAMAkCHYAAAAmQbADAAAwCYIdAACASRDsAAAATIJgBwAAYBIEOwAAAJMg2AEAAJgEwQ4AAMAkCHYAAAAmQbADAAAwCYIdAACASRDsAAAATIJgBwAAYBIEOwAAAJMg2AEAAJgEwQ4AAMAkCHYAAAAmQbADAAAwCYIdAACASRDsAAAATIJgBwAAYBIEOwAAAJMg2AEAAJgEwQ4AAMAkCHYAAAAm0dTVBcC9rd5+0Ol74m0RLqrk6vx0He66Bol13GjMsA4z/hmXWIermWUdNyLO2AEAAJgEwQ4AAMAkCHYAAAAmQbADAAAwCbcLdsuWLVO7du3k5eWl6Oho7dq1q87+69evV3h4uLy8vNS9e3e99957Tts9PDxq/MyfP9/Rp127dtW2P/vss42yPgAAgCvlVsFu3bp1Sk9P16xZs7Rnzx717NlTcXFxOnHiRI39d+zYoTFjxig5OVl79+5VfHy84uPjtX//fkef48ePO31WrVolDw8PJSQkOM01d+5cp34TJ05s1LUCAAA0lFsFu4ULFyolJUVJSUnq0qWLsrKy5OPjo1WrVtXYf/HixRoxYoQef/xxRUREaN68eerTp4+WLl3q6GOz2Zw+b7/9toYMGaIOHTo4zdWiRQunfs2bN2/UtQIAADSU2wS78vJyFRQUKDY21tFmsVgUGxur/Pz8Gsfk5+c79ZekuLi4WvsXFRVp06ZNSk5Orrbt2WefVatWrdS7d2/Nnz9fly5dqrXWsrIylZaWOn0AAAAam9u8oPjUqVOqrKxUSEiIU3tISIgOHTpU4xi73V5jf7vdXmP/P/7xj2rRooXuuusup/ZHHnlEffr0UWBgoHbs2KHp06fr+PHjWrhwYY3zZGRkaM6cOfVdGgAAwDXhNsHueli1apUSExPl5eXl1J6enu74fY8ePeTp6akHHnhAGRkZslqt1eaZPn2605jS0lKFhYU1XuEAAAByo2DXunVrNWnSREVFRU7tRUVFstlsNY6x2Wz17v/RRx/p8OHDWrdu3WVriY6O1qVLl3TkyBF17ty52nar1Vpj4AMAAGhMbnOPnaenpyIjI5Wbm+toq6qqUm5urmJiYmocExMT49RfknJycmrs//LLLysyMlI9e/a8bC379u2TxWJRcHBwA1cBAADQeNzmjJ30wyXR+++/X1FRUerXr58yMzN17tw5JSUlSZLGjRunm266SRkZGZKkSZMmadCgQVqwYIFGjhyptWvX6pNPPtGLL77oNG9paanWr1+vBQsWVNtnfn6+du7cqSFDhqhFixbKz8/XlClTNHbsWLVs2bLxFw0AAFBPbhXs7rnnHp08eVIzZ86U3W5Xr169lJ2d7XhA4ujRo7JY/nUScsCAAVqzZo1mzJihJ598Up06ddKGDRvUrVs3p3nXrl0rwzA0ZsyYavu0Wq1au3atZs+erbKyMrVv315TpkxxuocOAADgRuBWwU6S0tLSlJaWVuO2LVu2VGsbNWqURo0aVeecEyZM0IQJE2rc1qdPH3388ccNrhMAAOB6c5t77AAAAFA3gh0AAIBJEOwAAABMgmAHAABgEgQ7AAAAkyDYAQAAmATBDgAAwCQIdgAAACZBsAMAADAJgh0AAIBJEOwAAABMgmAHAABgEgQ7AAAAkyDYAQAAmATBDgAAwCQIdgAAACZBsAMAADAJgh0AAIBJEOwAAABMgmAHAABgEgQ7AAAAkyDYAQAAmATBDgAAwCQIdgAAACZBsAMAADAJgh0AAIBJEOwAAABMgmAHAABgEgQ7AAAAkyDYAQAAmATBDgAAwCQIdgAAACZBsAMAADAJgh0AAIBJEOwAAABMgmAHAABgEgQ7AAAAk3C7YLds2TK1a9dOXl5eio6O1q5du+rsv379eoWHh8vLy0vdu3fXe++957R9/Pjx8vDwcPqMGDHCqc/p06eVmJgoPz8/BQQEKDk5WWfPnr3mawMAALgaTV1dQEOsW7dO6enpysrKUnR0tDIzMxUXF6fDhw8rODi4Wv8dO3ZozJgxysjI0K9//WutWbNG8fHx2rNnj7p16+boN2LECL3yyiuO71ar1WmexMREHT9+XDk5OaqoqFBSUpImTJigNWvWNN5ifwG+Wb3Z6XtYYqyLKrk6rOPGYsZ1uOsaJNZxIzHjnw3JfdfRWNzqjN3ChQuVkpKipKQkdenSRVlZWfLx8dGqVatq7L948WKNGDFCjz/+uCIiIjRv3jz16dNHS5cudepntVpls9kcn5YtWzq2HTx4UNnZ2Vq5cqWio6M1cOBAPf/881q7dq2OHTvWqOsFAABoCLcJduXl5SooKFBs7L+SucViUWxsrPLz82sck5+f79RfkuLi4qr137Jli4KDg9W5c2c99NBD+u6775zmCAgIUFRUlKMtNjZWFotFO3furHG/ZWVlKi0tdfoAAAA0NrcJdqdOnVJlZaVCQkKc2kNCQmS322scY7fbL9t/xIgReu2115Sbm6vf//732rp1q/7jP/5DlZWVjjl+fpm3adOmCgwMrHW/GRkZ8vf3d3zCwsIavF4AAICGcqt77BrD6NGjHb/v3r27evTooY4dO2rLli0aNmzYFc05ffp0paenO76XlpYS7gAAQKNzmzN2rVu3VpMmTVRUVOTUXlRUJJvNVuMYm83WoP6S1KFDB7Vu3VpffvmlY44TJ0449bl06ZJOnz5d6zxWq1V+fn5OHwAAgMbmNsHO09NTkZGRys3NdbRVVVUpNzdXMTExNY6JiYlx6i9JOTk5tfaXpG+//Vbfffed2rRp45ijuLhYBQUFjj55eXmqqqpSdHT01SwJAADgmnKbYCdJ6enpeumll/THP/5RBw8e1EMPPaRz584pKSlJkjRu3DhNnz7d0X/SpEnKzs7WggULdOjQIc2ePVuffPKJ0tLSJElnz57V448/ro8//lhHjhxRbm6u7rzzTt16662Ki4uTJEVERGjEiBFKSUnRrl27tH37dqWlpWn06NEKDQ29/gcBAACgFm51j90999yjkydPaubMmbLb7erVq5eys7MdD0gcPXpUFsu/suqAAQO0Zs0azZgxQ08++aQ6deqkDRs2ON5h16RJE/3f//2f/vjHP6q4uFihoaEaPny45s2b5/Quu9WrVystLU3Dhg2TxWJRQkKClixZcn0XDwAAcBluFewkKS0tzXHG7ee2bNlSrW3UqFEaNWpUjf29vb31/vvvX3afgYGBvIwYAADc8NzqUiwAAABqR7ADAAAwCYIdAACASRDsAAAATIJgBwAAYBIEOwAAAJMg2AEAAJgEwQ4AAMAkCHYAAAAmQbADAAAwCYIdAACASRDsAAAATIJgBwAAYBIEOwAAAJMg2AEAAJgEwQ4AAMAkCHYAAAAmQbADAAAwCYIdAACASRDsAAAATIJgBwAAYBIEOwAAAJMg2AEAAJgEwQ4AAMAkCHYAAAAmQbADAAAwCYIdAACASRDsAAAATIJgBwAAYBIEOwAAAJMg2AEAAJgEwQ4AAMAkmrq6APxybWt3k9P3RBfVcbVYx43FjOtw1zVIrONGYsY/G5L7rqOxcMYOAADAJAh2AAAAJkGwAwAAMAmCHQAAgEm4XbBbtmyZ2rVrJy8vL0VHR2vXrl119l+/fr3Cw8Pl5eWl7t2767333nNsq6io0NSpU9W9e3c1b95coaGhGjdunI4dO+Y0R7t27eTh4eH0efbZZxtlfQAAAFfKrYLdunXrlJ6erlmzZmnPnj3q2bOn4uLidOLEiRr779ixQ2PGjFFycrL27t2r+Ph4xcfHa//+/ZKk8+fPa8+ePfrd736nPXv26P/9v/+nw4cP6ze/+U21uebOnavjx487PhMnTmzUtQIAADSUWwW7hQsXKiUlRUlJSerSpYuysrLk4+OjVatW1dh/8eLFGjFihB5//HFFRERo3rx56tOnj5YuXSpJ8vf3V05Ojn7729+qc+fO6t+/v5YuXaqCggIdPXrUaa4WLVrIZrM5Ps2bN2/09QIAADSE2wS78vJyFRQUKDY21tFmsVgUGxur/Pz8Gsfk5+c79ZekuLi4WvtLUklJiTw8PBQQEODU/uyzz6pVq1bq3bu35s+fr0uXLtU6R1lZmUpLS50+AAAAjc1tXlB86tQpVVZWKiQkxKk9JCREhw4dqnGM3W6vsb/dbq+x/8WLFzV16lSNGTNGfn5+jvZHHnlEffr0UWBgoHbs2KHp06fr+PHjWrhwYY3zZGRkaM6cOQ1ZHgAAwFVzm2DX2CoqKvTb3/5WhmFoxYoVTtvS09Mdv+/Ro4c8PT31wAMPKCMjQ1artdpc06dPdxpTWlqqsLCwxiseAABAbhTsWrdurSZNmqioqMipvaioSDabrcYxNputXv1/DHX//Oc/lZeX53S2ribR0dG6dOmSjhw5os6dO1fbbrVaawx8AAAAjclt7rHz9PRUZGSkcnNzHW1VVVXKzc1VTExMjWNiYmKc+ktSTk6OU/8fQ90XX3yhzZs3q1WrVpetZd++fbJYLAoODr7C1QAAAFx7bnPGTvrhkuj999+vqKgo9evXT5mZmTp37pySkpIkSePGjdNNN92kjIwMSdKkSZM0aNAgLViwQCNHjtTatWv1ySef6MUXX5T0Q6i7++67tWfPHm3cuFGVlZWO++8CAwPl6emp/Px87dy5U0OGDFGLFi2Un5+vKVOmaOzYsWrZsqVrDgQAAEAN3CrY3XPPPTp58qRmzpwpu92uXr16KTs72/GAxNGjR2Wx/Osk5IABA7RmzRrNmDFDTz75pDp16qQNGzaoW7dukqTCwkK98847kqRevXo57evDDz/U4MGDZbVatXbtWs2ePVtlZWVq3769pkyZ4nQPHQAAwI3ArYKdJKWlpSktLa3GbVu2bKnWNmrUKI0aNarG/u3atZNhGHXur0+fPvr4448bXCcAAMD15jb32AEAAKBuBDsAAACTINgBAACYBMEOAADAJAh2AAAAJkGwAwAAMAmCHQAAgEkQ7AAAAEyCYAcAAGASBDsAAACTINgBAACYBMEOAADAJAh2AAAAJkGwAwAAMAmCHQAAgEkQ7AAAAEyCYAcAAGASBDsAAACTINgBAACYBMEOAADAJAh2AAAAJkGwAwAAMAmCHQAAgEkQ7AAAAEyCYAcAAGASBDsAAACTINgBAACYBMEOAADAJAh2AAAAJkGwAwAAMAmCHQAAgEkQ7AAAAEyCYAcAAGASBDsAAACTINgBAACYBMEOAADAJAh2AAAAJuF2wW7ZsmVq166dvLy8FB0drV27dtXZf/369QoPD5eXl5e6d++u9957z2m7YRiaOXOm2rRpI29vb8XGxuqLL75w6nP69GklJibKz89PAQEBSk5O1tmzZ6/52gAAAK6GWwW7devWKT09XbNmzdKePXvUs2dPxcXF6cSJEzX237Fjh8aMGaPk5GTt3btX8fHxio+P1/79+x19/vCHP2jJkiXKysrSzp071bx5c8XFxenixYuOPomJiTpw4IBycnK0ceNGbdu2TRMmTGj09QIAADTEFQW7oUOHas6cOdXaz5w5o6FDh151UbVZuHChUlJSlJSUpC5duigrK0s+Pj5atWpVjf0XL16sESNG6PHHH1dERITmzZunPn36aOnSpZJ+OFuXmZmpGTNm6M4771SPHj302muv6dixY9qwYYMk6eDBg8rOztbKlSsVHR2tgQMH6vnnn9fatWt17NixRlsrAABAQ11RsNuyZYuWLl2q+Ph4nTt3ztFeXl6urVu3XrPifqq8vFwFBQWKjY11tFksFsXGxio/P7/GMfn5+U79JSkuLs7R/+uvv5bdbnfq4+/vr+joaEef/Px8BQQEKCoqytEnNjZWFotFO3fuvGbrAwAAuFpXfCl28+bNstvt6t+/v44cOXINS6rZqVOnVFlZqZCQEKf2kJAQ2e32GsfY7fY6+//46+X6BAcHO21v2rSpAgMDa91vWVmZSktLnT4AAACNremVDmzTpo22bt2qpKQk9e3bV+vXr1dERMS1rM1tZWRk1Hip+qt5L6lFsyYuqKjx9P/Z93+8l3ddxl5rP62loXWwjmuPdVzd2Gvpao8n67i2zPjfXMl919FYvq+ovOKxV3TGzsPDQ5JktVq1Zs0aTZo0SSNGjNDy5cuvuJDLad26tZo0aaKioiKn9qKiItlsthrH2Gy2Ovv/+Ovl+vz84YxLly7p9OnTte53+vTpKikpcXy++eabeq4SAADgyl1RsDMMw+n7jBkztHr1ai1YsOCaFFUTT09PRUZGKjc319FWVVWl3NxcxcTE1DgmJibGqb8k5eTkOPq3b99eNpvNqU9paal27tzp6BMTE6Pi4mIVFBQ4+uTl5amqqkrR0dE17tdqtcrPz8/pAwAA0Niu6FLs119/raCgIKe2hIQEhYeH65NPPrkmhdUkPT1d999/v6KiotSvXz9lZmbq3LlzSkpKkiSNGzdON910kzIyMiRJkyZN0qBBg7RgwQKNHDlSa9eu1SeffKIXX3xR0g9nHidPnqz//d//VadOndS+fXv97ne/U2hoqOLj4yVJERERGjFihFJSUpSVlaWKigqlpaVp9OjRCg0NbbS1AgAANNQVBbu2bdvW2N61a1d17dr1qgqqyz333KOTJ09q5syZstvt6tWrl7Kzsx0PPxw9elQWy79OQg4YMEBr1qzRjBkz9OSTT6pTp07asGGDunXr5ujzxBNP6Ny5c5owYYKKi4s1cOBAZWdny8vLy9Fn9erVSktL07Bhw2SxWJSQkKAlS5Y02joBAACuhIfx8+uquOZKS0vl7++vvf/V1XQPTwAAgGvr+4pK9X7rgEpKShp8O5db/eQJAAAA1I5gBwAAYBIEOwAAAJMg2AEAAJgEwQ4AAMAkCHYAAAAmQbADAAAwCYIdAACASRDsAAAATIJgBwAAYBIEOwAAAJMg2AEAAJgEwQ4AAMAkCHYAAAAmQbADAAAwCYIdAACASRDsAAAATIJgBwAAYBIEOwAAAJMg2AEAAJgEwQ4AAMAkCHYAAAAmQbADAAAwCYIdAACASRDsAAAATIJgBwAAYBIEOwAAAJMg2AEAAJgEwQ4AAMAkCHYAAAAmQbADAAAwCYIdAACASRDsAAAATIJgBwAAYBIEOwAAAJMg2AEAAJgEwQ4AAMAk3CbYnT59WomJifLz81NAQICSk5N19uzZOsdcvHhRqampatWqlXx9fZWQkKCioiLH9r///e8aM2aMwsLC5O3trYiICC1evNhpji1btsjDw6Pax263N8o6AQAArlRTVxdQX4mJiTp+/LhycnJUUVGhpKQkTZgwQWvWrKl1zJQpU7Rp0yatX79e/v7+SktL01133aXt27dLkgoKChQcHKw33nhDYWFh2rFjhyZMmKAmTZooLS3Naa7Dhw/Lz8/P8T04OLhxFgoAAHCFPAzDMFxdxOUcPHhQXbp00e7duxUVFSVJys7O1h133KFvv/1WoaGh1caUlJQoKChIa9as0d133y1JOnTokCIiIpSfn6/+/fvXuK/U1FQdPHhQeXl5kn44YzdkyBCdOXNGAQEBV1R/aWmp/P39tfe/uqpFsyZXNAcAAPhl+L6iUr3fOqCSkhKnk0r14RaXYvPz8xUQEOAIdZIUGxsri8WinTt31jimoKBAFRUVio2NdbSFh4frlltuUX5+fq37KikpUWBgYLX2Xr16qU2bNvr3f/93xxk/AACAG4lbXIq12+3VLn02bdpUgYGBtd7rZrfb5enpWe0sW0hISK1jduzYoXXr1mnTpk2OtjZt2igrK0tRUVEqKyvTypUrNXjwYO3cuVN9+vSpcZ6ysjKVlZU5vpeWltZnmQAAAFfFpWfspk2bVuODCT/9HDp06LrUsn//ft15552aNWuWhg8f7mjv3LmzHnjgAUVGRmrAgAFatWqVBgwYoEWLFtU6V0ZGhvz9/R2fsLCw67EEAADwC+fSM3aPPvqoxo8fX2efDh06yGaz6cSJE07tly5d0unTp2Wz2WocZ7PZVF5eruLiYqezdkVFRdXGfPbZZxo2bJgmTJigGTNmXLbufv366W9/+1ut26dPn6709HTH99LSUsIdAABodC4NdkFBQQoKCrpsv5iYGBUXF6ugoECRkZGSpLy8PFVVVSk6OrrGMZGRkWrWrJlyc3OVkJAg6YcnW48ePaqYmBhHvwMHDmjo0KG6//779fTTT9er7n379qlNmza1brdarbJarfWaCwAA4Fpxi3vsIiIiNGLECKWkpCgrK0sVFRVKS0vT6NGjHU/EFhYWatiwYXrttdfUr18/+fv7Kzk5Wenp6QoMDJSfn58mTpyomJgYxxOx+/fv19ChQxUXF6f09HTHvXdNmjRxBM7MzEy1b99eXbt21cWLF7Vy5Url5eXpgw8+cM3BAAAAqIVbBDtJWr16tdLS0jRs2DBZLBYlJCRoyZIlju0VFRU6fPiwzp8/72hbtGiRo29ZWZni4uK0fPlyx/Y333xTJ0+e1BtvvKE33njD0d62bVsdOXJEklReXq5HH31UhYWF8vHxUY8ePbR582YNGTKk8RcNAADQAG7xHjt3x3vsAABAfZn+PXYAAAC4PIIdAACASRDsAAAATIJgBwAAYBIEOwAAAJMg2AEAAJgEwQ4AAMAkCHYAAAAmQbADAAAwCYIdAACASRDsAAAATIJgBwAAYBIEOwAAAJMg2AEAAJgEwQ4AAMAkCHYAAAAmQbADAAAwCYIdAACASRDsAAAATIJgBwAAYBIEOwAAAJMg2AEAAJgEwQ4AAMAkCHYAAAAmQbADAAAwCYIdAACASRDsAAAATIJgBwAAYBIEOwAAAJMg2AEAAJgEwQ4AAMAkCHYAAAAmQbADAAAwCYIdAACASRDsAAAATIJgBwAAYBIEOwAAAJNwm2B3+vRpJSYmys/PTwEBAUpOTtbZs2frHHPx4kWlpqaqVatW8vX1VUJCgoqKipz6eHh4VPusXbvWqc+WLVvUp08fWa1W3XrrrXr11Vev9fIAAACumtsEu8TERB04cEA5OTnauHGjtm3bpgkTJtQ5ZsqUKXr33Xe1fv16bd26VceOHdNdd91Vrd8rr7yi48ePOz7x8fGObV9//bVGjhypIUOGaN++fZo8ebL+53/+R++///61XiIAAMBV8TAMw3B1EZdz8OBBdenSRbt371ZUVJQkKTs7W3fccYe+/fZbhYaGVhtTUlKioKAgrVmzRnfffbck6dChQ4qIiFB+fr769+8v6Yczdm+99ZZTmPupqVOnatOmTdq/f7+jbfTo0SouLlZ2dna96i8tLZW/v7/2/ldXtWjWpCFLBwAAvzDfV1Sq91sHVFJSIj8/vwaNdYszdvn5+QoICHCEOkmKjY2VxWLRzp07axxTUFCgiooKxcbGOtrCw8N1yy23KD8/36lvamqqWrdurX79+mnVqlX6adbNz893mkOS4uLiqs0BAADgak1dXUB92O12BQcHO7U1bdpUgYGBstvttY7x9PRUQECAU3tISIjTmLlz52ro0KHy8fHRBx98oIcfflhnz57VI4884pgnJCSk2hylpaW6cOGCvL29q+27rKxMZWVlju+lpaUNWi8AAMCVcGmwmzZtmn7/+9/X2efgwYONWsPvfvc7x+979+6tc+fOaf78+Y5gdyUyMjI0Z86ca1EeAABAvbk02D366KMaP358nX06dOggm82mEydOOLVfunRJp0+fls1mq3GczWZTeXm5iouLnc7aFRUV1TpGkqKjozVv3jyVlZXJarXKZrNVe5K2qKhIfn5+NZ6tk6Tp06crPT3d8b20tFRhYWF1rhMAAOBquTTYBQUFKSgo6LL9YmJiVFxcrIKCAkVGRkqS8vLyVFVVpejo6BrHREZGqlmzZsrNzVVCQoIk6fDhwzp69KhiYmJq3de+ffvUsmVLWa1Wx77fe+89pz45OTl1zmG1Wh3jAQAArhe3uMcuIiJCI0aMUEpKirKyslRRUaG0tDSNHj3a8URsYWGhhg0bptdee039+vWTv7+/kpOTlZ6ersDAQPn5+WnixImKiYlxPBH77rvvqqioSP3795eXl5dycnL0zDPP6LHHHnPs+8EHH9TSpUv1xBNP6L//+7+Vl5enP//5z9q0aZNLjgUAAEBt3CLYSdLq1auVlpamYcOGyWKxKCEhQUuWLHFsr6io0OHDh3X+/HlH26JFixx9y8rKFBcXp+XLlzu2N2vWTMuWLdOUKVNkGIZuvfVWLVy4UCkpKY4+7du316ZNmzRlyhQtXrxYN998s1auXKm4uLjrs3AAAIB6cov32Lk73mMHAADqy/TvsQMAAMDlEewAAABMgmAHAABgEgQ7AAAAkyDYAQAAmATBDgAAwCQIdgAAACZBsAMAADAJgh0AAIBJEOwAAABMgmAHAABgEgQ7AAAAkyDYAQAAmERTVxfwS7KjSz95e3m6ugwAAHADu3CxXHrrwBWN5YwdAACASRDsAAAATIJgBwAAYBIEOwAAAJMg2AEAAJgEwQ4AAMAkCHYAAAAmQbADAAAwCYIdAACASRDsAAAATIJgBwAAYBIEOwAAAJMg2AEAAJgEwQ4AAMAkCHYAAAAmQbADAAAwCYIdAACASRDsAAAATIJgBwAAYBIEOwAAAJMg2AEAAJgEwQ4AAMAkCHYAAAAm4TbB7vTp00pMTJSfn58CAgKUnJyss2fP1jnm4sWLSk1NVatWreTr66uEhAQVFRU5tr/66qvy8PCo8XPixAlJ0pYtW2rcbrfbG3W9AAAADeU2wS4xMVEHDhxQTk6ONm7cqG3btmnChAl1jpkyZYreffddrV+/Xlu3btWxY8d01113Obbfc889On78uNMnLi5OgwYNUnBwsNNchw8fdur38+0AAACu1tTVBdTHwYMHlZ2drd27dysqKkqS9Pzzz+uOO+7Qc889p9DQ0GpjSkpK9PLLL2vNmjUaOnSoJOmVV15RRESEPv74Y/Xv31/e3t7y9vZ2jDl58qTy8vL08ssvV5svODhYAQEBjbNAAACAa8Atztjl5+crICDAEeokKTY2VhaLRTt37qxxTEFBgSoqKhQbG+toCw8P1y233KL8/Pwax7z22mvy8fHR3XffXW1br1691KZNG/37v/+7tm/ffpUrAgAAuPbc4oyd3W6vdumzadOmCgwMrPVeN7vdLk9Pz2pn2UJCQmod8/LLL+vee+91OovXpk0bZWVlKSoqSmVlZVq5cqUGDx6snTt3qk+fPjXOU1ZWprKyMsf30tLS+iwTAADgqrj0jN20adNqfXjhx8+hQ4euSy35+fk6ePCgkpOTndo7d+6sBx54QJGRkRowYIBWrVqlAQMGaNGiRbXOlZGRIX9/f8cnLCysscsHAABw7Rm7Rx99VOPHj6+zT4cOHWSz2RxPqf7o0qVLOn36tGw2W43jbDabysvLVVxc7HTWrqioqMYxK1euVK9evRQZGXnZuvv166e//e1vtW6fPn260tPTHd9LS0sJdwAAoNG5NNgFBQUpKCjosv1iYmJUXFysgoICR/DKy8tTVVWVoqOjaxwTGRmpZs2aKTc3VwkJCZJ+eLL16NGjiomJcep79uxZ/fnPf1ZGRka96t63b5/atGlT63ar1Sqr1VqvuQAAAK4Vt7jHLiIiQiNGjFBKSoqysrJUUVGhtLQ0jR492vFEbGFhoYYNG6bXXntN/fr1k7+/v5KTk5Wenq7AwED5+flp4sSJiomJUf/+/Z3mX7dunS5duqSxY8dW23dmZqbat2+vrl276uLFi1q5cqXy8vL0wQcfXJe1AwAA1JdbBDtJWr16tdLS0jRs2DBZLBYlJCRoyZIlju0VFRU6fPiwzp8/72hbtGiRo29ZWZni4uK0fPnyanO//PLLuuuuu2p8nUl5ebkeffRRFRYWysfHRz169NDmzZs1ZMiQRlknAADAlfIwDMNwdRFmV1paKn9/fy17KkneXp6uLgcAANzALlwsV+rTr6ikpER+fn4NGusW77EDAADA5RHsAAAATIJgBwAAYBIEOwAAAJMg2AEAAJgEwQ4AAMAkCHYAAAAmQbADAAAwCYIdAACASRDsAAAATIJgBwAAYBIEOwAAAJMg2AEAAJgEwQ4AAMAkCHYAAAAmQbADAAAwCYIdAACASRDsAAAATIJgBwAAYBIEOwAAAJMg2AEAAJgEwQ4AAMAkCHYAAAAmQbADAAAwCYIdAACASRDsAAAATIJgBwAAYBIEOwAAAJMg2AEAAJgEwQ4AAMAkCHYAAAAmQbADAAAwCYIdAACASRDsAAAATIJgBwAAYBIEOwAAAJMg2AEAAJiE2wS706dPKzExUX5+fgoICFBycrLOnj1b55gXX3xRgwcPlp+fnzw8PFRcXHxF8/7f//2ffvWrX8nLy0thYWH6wx/+cC2XBgAAcE24TbBLTEzUgQMHlJOTo40bN2rbtm2aMGFCnWPOnz+vESNG6Mknn7zieUtLSzV8+HC1bdtWBQUFmj9/vmbPnq0XX3zxmq0NAADgWvAwDMNwdRGXc/DgQXXp0kW7d+9WVFSUJCk7O1t33HGHvv32W4WGhtY5fsuWLRoyZIjOnDmjgICABs27YsUKPfXUU7Lb7fL09JQkTZs2TRs2bNChQ4fqVX9paan8/f217KkkeXt5XsERAAAAvxQXLpYr9elXVFJSIj8/vwaNdYszdvn5+QoICHCEL0mKjY2VxWLRzp07G3Xe/Px83X777Y5QJ0lxcXE6fPiwzpw5c8X7BgAAuNaaurqA+rDb7QoODnZqa9q0qQIDA2W32xt1Xrvdrvbt2zv1CQkJcWxr2bJltXnLyspUVlbm+F5SUiJJulBWfsW1AgCAX4Yf88KVXFR1abCbNm2afv/739fZ5+DBg9epmmsnIyNDc+bMqdb+2HOrXVANAABwR9999538/f0bNMalwe7RRx/V+PHj6+zToUMH2Ww2nThxwqn90qVLOn36tGw22xXvvz7z2mw2FRUVOfX58Xtt+54+fbrS09Md34uLi9W2bVsdPXq0wf+AcHmlpaUKCwvTN9980+B7EVA3jm3j4vg2Lo5v4+HYNq6SkhLdcsstCgwMbPBYlwa7oKAgBQUFXbZfTEyMiouLVVBQoMjISElSXl6eqqqqFB0dfcX7r8+8MTExeuqpp1RRUaFmzZpJknJyctS5c+caL8NKktVqldVqrdbu7+/PH4BG5Ofnx/FtJBzbxsXxbVwc38bDsW1cFkvDH4Vwi4cnIiIiNGLECKWkpGjXrl3avn270tLSNHr0aMcTsYWFhQoPD9euXbsc4+x2u/bt26cvv/xSkvTpp59q3759On36dL3nvffee+Xp6ank5GQdOHBA69at0+LFi53OyAEAANwI3CLYSdLq1asVHh6uYcOG6Y477tDAgQOd3iVXUVGhw4cP6/z58462rKws9e7dWykpKZKk22+/Xb1799Y777xT73n9/f31wQcf6Ouvv1ZkZKQeffRRzZw587Lv0AMAALje3OKpWEkKDAzUmjVrat3erl27ak+PzJ49W7Nnz76qeSWpR48e+uijj+pd689ZrVbNmjWrxsuzuHoc38bDsW1cHN/GxfFtPBzbxnU1x9ctXlAMAACAy3ObS7EAAACoG8EOAADAJAh2AAAAJkGwc5FNmzYpOjpa3t7eatmypeLj411dkqmUlZWpV69e8vDw0L59+1xdjikcOXJEycnJat++vby9vdWxY0fNmjVL5eX8qLwrsWzZMrVr105eXl6Kjo52elUTrlxGRob69u2rFi1aKDg4WPHx8Tp8+LCryzKlZ599Vh4eHpo8ebKrSzGNwsJCjR07Vq1atZK3t7e6d++uTz75pEFzEOxc4C9/+Yvuu+8+JSUl6e9//7u2b9+ue++919VlmcoTTzzheBchro1Dhw6pqqpKL7zwgg4cOKBFixYpKytLTz75pKtLczvr1q1Tenq6Zs2apT179qhnz56Ki4ur9pNw0HBbt25VamqqPv74Y+Xk5KiiokLDhw/XuXPnXF2aqezevVsvvPCCevTo4epSTOPMmTO67bbb1KxZM/31r3/VZ599pgULFtT6wxBqZeC6qqioMG666SZj5cqVri7FtN577z0jPDzcOHDggCHJ2Lt3r6tLMq0//OEPRvv27V1dhtvp16+fkZqa6vheWVlphIaGGhkZGS6sypxOnDhhSDK2bt3q6lJM4/vvvzc6depk5OTkGIMGDTImTZrk6pJMYerUqcbAgQOveh7O2F1ne/bsUWFhoSwWi3r37q02bdroP/7jP7R//35Xl2YKRUVFSklJ0euvvy4fHx9Xl2N6JSUlV/SzDH/JysvLVVBQoNjYWEebxWJRbGys8vPzXViZOZWUlEgS/55eQ6mpqRo5cqTTv8O4eu+8846ioqI0atQoBQcHq3fv3nrppZcaPA/B7jr76quvJP3w8uQZM2Zo48aNatmypQYPHuz4UWe4MoZhaPz48XrwwQcVFRXl6nJM78svv9Tzzz+vBx54wNWluJVTp06psrJSISEhTu0hISGy2+0uqsqcqqqqNHnyZN12223q1q2bq8sxhbVr12rPnj3KyMhwdSmm89VXX2nFihXq1KmT3n//fT300EN65JFH9Mc//rFB8xDsrpFp06bJw8Ojzs+P9yhJ0lNPPaWEhARFRkbqlVdekYeHh9avX+/iVdyY6ntsn3/+eX3//feaPn26q0t2K/U9vj9VWFioESNGaNSoUY4f2QfcaFJTU7V//36tXbvW1aWYwjfffKNJkyZp9erV8vLycnU5plNVVaU+ffromWeeUe/evTVhwgSlpKQoKyurQfO4zY8Uu9E9+uijGj9+fJ19OnTooOPHj0uSunTp4mi3Wq3q0KGDjh492pgluq36Htu8vDzl5+dX+xEsUVFRSkxMbPDfen4p6nt8f3Ts2DENGTJEAwYMcPq5yqif1q1bq0mTJioqKnJqLyoqks1mc1FV5pOWlqaNGzdq27Ztuvnmm11djikUFBToxIkT6tOnj6OtsrJS27Zt09KlS1VWVqYmTZq4sEL31qZNG6dsIEkRERH6y1/+0qB5CHbXSFBQkIKCgi7bLzIyUlarVYcPH9bAgQMlSRUVFTpy5Ijatm3b2GW6pfoe2yVLluh///d/Hd+PHTumuLg4rVu3TtHR0Y1Zolur7/GVfjhTN2TIEMeZZouFk/4N5enpqcjISOXm5jpec1RVVaXc3FylpaW5tjgTMAxDEydO1FtvvaUtW7aoffv2ri7JNIYNG6ZPP/3UqS0pKUnh4eGaOnUqoe4q3XbbbdVezfP55583OBsQ7K4zPz8/Pfjgg5o1a5bCwsLUtm1bzZ8/X5I0atQoF1fn3m655Ran776+vpKkjh078jf2a6CwsFCDBw9W27Zt9dxzz+nkyZOObZxpapj09HTdf//9ioqKUr9+/ZSZmalz584pKSnJ1aW5vdTUVK1Zs0Zvv/22WrRo4bhv0d/fX97e3i6uzr21aNGi2r2KzZs3V6tWrbiH8RqYMmWKBgwYoGeeeUa//e1vtWvXLr344osNvjJCsHOB+fPnq2nTprrvvvt04cIFRUdHKy8vr+HvqgGuo5ycHH355Zf68ssvqwVlwzBcVJV7uueee3Ty5EnNnDlTdrtdvXr1UnZ2drUHKtBwK1askCQNHjzYqf2VV1657C0HgCv17dtXb731lqZPn665c+eqffv2yszMVGJiYoPm8TD4LzIAAIApcIMMAACASRDsAAAATIJgBwAAYBIEOwAAAJMg2AEAAJgEwQ4AAMAkCHYAAAAmQbADAAAwCYIdAACASRDsAAAATIJgBwAAYBIEOwC4jk6ePCmbzaZnnnnG0bZjxw55enoqNzfXhZUBMAMPwzAMVxcBAL8k7733nuLj47Vjxw517txZvXr10p133qmFCxe6ujQAbo5gBwAukJqaqs2bNysqKkqffvqpdu/eLavV6uqyALg5gh0AuMCFCxfUrVs3ffPNNyooKFD37t1dXRIAE+AeOwBwgX/84x86duyYqqqqdOTIEVeXA8AkOGMHANdZeXm5+vXrp169eqlz587KzMzUp59+quDgYFeXBsDNEewA4Dp7/PHH9eabb+rvf/+7fH19NWjQIPn7+2vjxo2uLg2Am+NSLABcR1u2bFFmZqZef/11+fn5yWKx6PXXX9dHH32kFStWuLo8AG6OM3YAAAAmwRk7AAAAkyDYAQAAmATBDgAAwCQIdgAAACZBsAMAADAJgh0AAIBJEOwAAABMgmAHAABgEgQ7AAAAkyDYAQAAmATBDgAAwCQIdgAAACbx/wEvuprZvAUdKAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sim.plot(y=0)\n",
    "ax.set_xlim(-6, 6)\n",
    "ax.set_ylim(-0.1, 0.1)\n",
    "ax.set_aspect('auto')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1d0ff819",
   "metadata": {},
   "source": [
    "The simulation settings look correct. We are ready to submit the simulation to the server."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "93cd1c7f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T21:47:35.310618Z",
     "iopub.status.busy": "2023-08-18T21:47:35.310325Z",
     "iopub.status.idle": "2023-08-18T21:48:21.478574Z",
     "shell.execute_reply": "2023-08-18T21:48:21.477992Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[14:47:35] </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'nonhermitian_metagrating'</span> with task_id    <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#188\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">188</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-900aa944-73ee-4b0f-8481-25b29f57fcd7v1'</span>.          <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[14:47:35]\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'nonhermitian_metagrating'\u001b[0m with task_id    \u001b]8;id=889439;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=531526;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#188\u001b\\\u001b[2m188\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b[32m'fdve-900aa944-73ee-4b0f-8481-25b29f57fcd7v1'\u001b[0m.          \u001b[2m             \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>View task using web UI at                               <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#190\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">190</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-900aa944-73ee-4b0f-8481-25b29f57fcd7v1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-</span></a> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-900aa944-73ee-4b0f-8481-25b29f57fcd7v1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">900aa944-73ee-4b0f-8481-25b29f57fcd7v1'</span></a>.                <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                               \u001b]8;id=608025;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=299030;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#190\u001b\\\u001b[2m190\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=980523;https://tidy3d.simulation.cloud/workbench?taskId=fdve-900aa944-73ee-4b0f-8481-25b29f57fcd7v1\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=315261;https://tidy3d.simulation.cloud/workbench?taskId=fdve-900aa944-73ee-4b0f-8481-25b29f57fcd7v1\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=980523;https://tidy3d.simulation.cloud/workbench?taskId=fdve-900aa944-73ee-4b0f-8481-25b29f57fcd7v1\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=359243;https://tidy3d.simulation.cloud/workbench?taskId=fdve-900aa944-73ee-4b0f-8481-25b29f57fcd7v1\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=980523;https://tidy3d.simulation.cloud/workbench?taskId=fdve-900aa944-73ee-4b0f-8481-25b29f57fcd7v1\u001b\\\u001b[32m-\u001b[0m\u001b]8;;\u001b\\ \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=980523;https://tidy3d.simulation.cloud/workbench?taskId=fdve-900aa944-73ee-4b0f-8481-25b29f57fcd7v1\u001b\\\u001b[32m900aa944-73ee-4b0f-8481-25b29f57fcd7v1'\u001b[0m\u001b]8;;\u001b\\.                \u001b[2m             \u001b[0m\n"
      ]
     },
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       "Output()"
      ]
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     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[14:47:36] </span>status = queued                                         <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#361\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">361</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[14:47:36]\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                         \u001b]8;id=185808;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=569059;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#361\u001b\\\u001b[2m361\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
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    {
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       "Output()"
      ]
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     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[14:47:44] </span>status = preprocess                                     <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#355\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">355</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[14:47:44]\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                     \u001b]8;id=874200;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=269769;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#355\u001b\\\u001b[2m355\u001b[0m\u001b]8;;\u001b\\\n"
      ]
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
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     },
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    },
    {
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      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[14:47:49] </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.059</span>. Use                     <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#341\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">341</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed FlexCredit   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>cost after a simulation run.                            <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[14:47:49]\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.059\u001b[0m. Use                     \u001b]8;id=445544;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=740531;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#341\u001b\\\u001b[2m341\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit   \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0mcost after a simulation run.                            \u001b[2m             \u001b[0m\n"
      ]
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>starting up solver                                      <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#377\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">377</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                      \u001b]8;id=748033;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=135322;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#377\u001b\\\u001b[2m377\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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                                          <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#386\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">386</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                          \u001b]8;id=709412;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=174613;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#386\u001b\\\u001b[2m386\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
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    },
    {
     "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   <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#387\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">387</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>web UI. Terminating the Python script will not stop the <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>job running on the cloud.                               <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or   \u001b]8;id=979779;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=420830;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#387\u001b\\\u001b[2m387\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the   \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0mweb UI. Terminating the Python script will not stop the \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0mjob running on the cloud.                               \u001b[2m             \u001b[0m\n"
      ]
     },
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       "Output()"
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     },
     "metadata": {},
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[14:48:08] </span>early shutoff detected, exiting.                        <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#404\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">404</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[14:48:08]\u001b[0m\u001b[2;36m \u001b[0mearly shutoff detected, exiting.                        \u001b]8;id=390176;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=898248;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#404\u001b\\\u001b[2m404\u001b[0m\u001b]8;;\u001b\\\n"
      ]
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    {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
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     },
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    {
     "data": {
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       "</pre>\n"
      ],
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       "\n"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>status = postprocess                                    <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#419\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">419</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                    \u001b]8;id=278418;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=421266;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#419\u001b\\\u001b[2m419\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
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       "Output()"
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    {
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      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[14:48:19] </span>status = success                                        <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#426\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">426</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[14:48:19]\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                        \u001b]8;id=769942;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=512748;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#426\u001b\\\u001b[2m426\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\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "39b13d8924924c349fd4d083fe20ae9e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[14:48:21] </span>loading SimulationData from data/simulation_data.hdf5   <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">webapi.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#590\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">590</span></a>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[14:48:21]\u001b[0m\u001b[2;36m \u001b[0mloading SimulationData from data/simulation_data.hdf5   \u001b]8;id=809682;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=55896;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#590\u001b\\\u001b[2m590\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_data = web.run(\n",
    "    sim, task_name=\"nonhermitian_metagrating\", path=\"data/simulation_data.hdf5\"\n",
    ")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eaed37ff",
   "metadata": {},
   "source": [
    "## Result Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ffed0e49",
   "metadata": {},
   "source": [
    "Plot $|H_y|^2$ to visualize the SPP propagation. We can see the SPP is only propagating to the right, i.e. unidirectional propagation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "1dfaa45e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T21:48:22.310556Z",
     "iopub.status.busy": "2023-08-18T21:48:22.310419Z",
     "iopub.status.idle": "2023-08-18T21:48:27.522255Z",
     "shell.execute_reply": "2023-08-18T21:48:27.521452Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sim_data.plot_field(field_monitor_name='field', field_name='Hy', val='abs^2', vmin=0, vmax=3e-4)\n",
    "ax.set_aspect('auto')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4000ce35",
   "metadata": {},
   "source": [
    "To quantify the directionality, we define a contrast parameter $C_{exc} = \\frac{I_r-I_l}{I_r+I_l}$, where $I_r$ and $I_l$ are the transmitted power to the right and to the left, respectively. $C_{exc}=0$ corresponds to an isotropic propagation. For the ideal unidirectional propagation, $C_{exc}=1$ or $C_{exc}=-1$. In this case, we observe $C_{exc}>0.98$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "98413918",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T21:48:27.524451Z",
     "iopub.status.busy": "2023-08-18T21:48:27.524226Z",
     "iopub.status.idle": "2023-08-18T21:48:27.545902Z",
     "shell.execute_reply": "2023-08-18T21:48:27.545477Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C_exc = 0.9818\n"
     ]
    }
   ],
   "source": [
    "def cal_C_exc(sim_data):\n",
    "    I_r = sim_data['flux_right'].flux\n",
    "    I_l = -sim_data['flux_left'].flux\n",
    "    C_exc = (I_r-I_l)/(I_r+I_l)\n",
    "    return C_exc.values[0]\n",
    "\n",
    "print(f'C_exc = {cal_C_exc(sim_data):1.4f}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d284f00c",
   "metadata": {},
   "source": [
    "## Sweeping Nanostrip Spacing "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dcd7e13c",
   "metadata": {},
   "source": [
    "The SPP propagating can be effectively tuned by changing the center-to-center distance between the nanostrips within the grating unit cell. We would like to perform a parameter sweep of the center-to-center distance $s$ to investigate how the unidirectional SPP propagation changes. To do so, we first define a function `make_sim` that returns a simulation given a $s$ value."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "552853af",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T21:48:27.547870Z",
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     "shell.execute_reply": "2023-08-18T21:48:27.567772Z"
    }
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   "outputs": [],
   "source": [
    "def make_sim(s):\n",
    "    \n",
    "    # define the grating structures of each unit cell\n",
    "    grating = []\n",
    "    for i in range(N):\n",
    "        geo = td.Box(center=(-s/2+i*p-(N-1)*p/2, 0, t1/2), size=(w1,td.inf,t1))\n",
    "        grating.append(td.Structure(geometry=geo, medium=Ge))\n",
    "\n",
    "        geo = td.Box(center=(s/2+i*p-(N-1)*p/2, 0, t2/2), size=(w1,td.inf,t2))\n",
    "        grating.append(td.Structure(geometry=geo, medium=Ge))\n",
    "\n",
    "        geo = td.Box(center=(s/2+i*p-(N-1)*p/2, 0, t2+t3/2), size=(w1,td.inf,t3))\n",
    "        grating.append(td.Structure(geometry=geo, medium=Cr))\n",
    "\n",
    "    # define simulation\n",
    "    sim = td.Simulation(\n",
    "        center=(0, 0, 2*lda0),\n",
    "        size=(Lx, Ly, Lz),\n",
    "        grid_spec=td.GridSpec.auto(min_steps_per_wvl=30, wavelength=lda0),\n",
    "        structures=grating + [substrate, gold_film],\n",
    "        sources=[gaussian_beam],\n",
    "        monitors=[field_monitor, flux_monitor_right, flux_monitor_left],\n",
    "        run_time=run_time,\n",
    "        boundary_spec=td.BoundarySpec(\n",
    "            x=td.Boundary.pml(), y=td.Boundary.periodic(), z=td.Boundary.pml()\n",
    "        ),  \n",
    "    )\n",
    "    \n",
    "    return sim"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82ca604c",
   "metadata": {},
   "source": [
    "The range of interest for $s$ is from 350 nm to 770 nm. A batch of 5 simulations is created."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "9ea962b2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T21:48:27.570276Z",
     "iopub.status.busy": "2023-08-18T21:48:27.570039Z",
     "iopub.status.idle": "2023-08-18T21:48:27.684452Z",
     "shell.execute_reply": "2023-08-18T21:48:27.683875Z"
    }
   },
   "outputs": [],
   "source": [
    "s_array = np.linspace(0.35,0.77,5)  # collection of s for the parameter sweep\n",
    "\n",
    "sims = {\n",
    "    f\"s={s:.3f}\": make_sim(s) for s in s_array\n",
    "}  # construct simulations for each s from s_array\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18832421",
   "metadata": {},
   "source": [
    "Run the simulations in the batch in parallel."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "5075dfaa",
   "metadata": {
    "execution": {
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     "iopub.status.idle": "2023-08-18T21:50:09.682748Z",
     "shell.execute_reply": "2023-08-18T21:50:09.681262Z"
    }
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       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-703b1ff3-a7c3-4e8c-b560-b684d164ea16v1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-</span></a> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-703b1ff3-a7c3-4e8c-b560-b684d164ea16v1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">703b1ff3-a7c3-4e8c-b560-b684d164ea16v1'</span></a>.                <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
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       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                               \u001b]8;id=140443;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=347475;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#190\u001b\\\u001b[2m190\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=273055;https://tidy3d.simulation.cloud/workbench?taskId=fdve-703b1ff3-a7c3-4e8c-b560-b684d164ea16v1\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=968416;https://tidy3d.simulation.cloud/workbench?taskId=fdve-703b1ff3-a7c3-4e8c-b560-b684d164ea16v1\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=273055;https://tidy3d.simulation.cloud/workbench?taskId=fdve-703b1ff3-a7c3-4e8c-b560-b684d164ea16v1\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=596113;https://tidy3d.simulation.cloud/workbench?taskId=fdve-703b1ff3-a7c3-4e8c-b560-b684d164ea16v1\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=273055;https://tidy3d.simulation.cloud/workbench?taskId=fdve-703b1ff3-a7c3-4e8c-b560-b684d164ea16v1\u001b\\\u001b[32m-\u001b[0m\u001b]8;;\u001b\\ \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=273055;https://tidy3d.simulation.cloud/workbench?taskId=fdve-703b1ff3-a7c3-4e8c-b560-b684d164ea16v1\u001b\\\u001b[32m703b1ff3-a7c3-4e8c-b560-b684d164ea16v1'\u001b[0m\u001b]8;;\u001b\\.                \u001b[2m             \u001b[0m\n"
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       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-e6d533b6-9fe3-4726-b9d8-5fa7cf198908v1'</span>.          <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
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       "\u001b[2;36m[14:48:29]\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'\u001b[0m\u001b[32ms\u001b[0m\u001b[32m=\u001b[0m\u001b[32m0\u001b[0m\u001b[32m.665'\u001b[0m with task_id                     \u001b]8;id=286980;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=136739;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#188\u001b\\\u001b[2m188\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b[32m'fdve-e6d533b6-9fe3-4726-b9d8-5fa7cf198908v1'\u001b[0m.          \u001b[2m             \u001b[0m\n"
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       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-e6d533b6-9fe3-4726-b9d8-5fa7cf198908v1\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-</span></a> <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
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       "\u001b[2;36m           \u001b[0m\u001b]8;id=403958;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e6d533b6-9fe3-4726-b9d8-5fa7cf198908v1\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=980336;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e6d533b6-9fe3-4726-b9d8-5fa7cf198908v1\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=403958;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e6d533b6-9fe3-4726-b9d8-5fa7cf198908v1\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=274858;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e6d533b6-9fe3-4726-b9d8-5fa7cf198908v1\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=403958;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e6d533b6-9fe3-4726-b9d8-5fa7cf198908v1\u001b\\\u001b[32m-\u001b[0m\u001b]8;;\u001b\\ \u001b[2m             \u001b[0m\n",
       "\u001b[2;36m           \u001b[0m\u001b]8;id=403958;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e6d533b6-9fe3-4726-b9d8-5fa7cf198908v1\u001b\\\u001b[32me6d533b6-9fe3-4726-b9d8-5fa7cf198908v1'\u001b[0m\u001b]8;;\u001b\\.                \u001b[2m             \u001b[0m\n"
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       "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'\u001b[0m\u001b[32ms\u001b[0m\u001b[32m=\u001b[0m\u001b[32m0\u001b[0m\u001b[32m.770'\u001b[0m with task_id                     \u001b]8;id=621680;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=737462;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#188\u001b\\\u001b[2m188\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0m\u001b[32m'fdve-dc0346dc-e4ac-41ce-b2d1-acfefeb7ce65v1'\u001b[0m.          \u001b[2m             \u001b[0m\n"
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       "\u001b[2;36m           \u001b[0m\u001b]8;id=84542;https://tidy3d.simulation.cloud/workbench?taskId=fdve-dc0346dc-e4ac-41ce-b2d1-acfefeb7ce65v1\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=743512;https://tidy3d.simulation.cloud/workbench?taskId=fdve-dc0346dc-e4ac-41ce-b2d1-acfefeb7ce65v1\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=84542;https://tidy3d.simulation.cloud/workbench?taskId=fdve-dc0346dc-e4ac-41ce-b2d1-acfefeb7ce65v1\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=709285;https://tidy3d.simulation.cloud/workbench?taskId=fdve-dc0346dc-e4ac-41ce-b2d1-acfefeb7ce65v1\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=84542;https://tidy3d.simulation.cloud/workbench?taskId=fdve-dc0346dc-e4ac-41ce-b2d1-acfefeb7ce65v1\u001b\\\u001b[32m-\u001b[0m\u001b]8;;\u001b\\ \u001b[2m             \u001b[0m\n",
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       "\u001b[2;36m[14:48:31]\u001b[0m\u001b[2;36m \u001b[0mStarted working on Batch.                            \u001b]8;id=450062;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py\u001b\\\u001b[2mcontainer.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=356170;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py#475\u001b\\\u001b[2m475\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[14:49:08] </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.297</span> for the whole batch.  <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">container.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py#479\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">479</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>Use <span style=\"color: #008000; text-decoration-color: #008000\">'Batch.real_cost()'</span> to get the billed FlexCredit <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">                </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>cost after the Batch has completed.                  <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">                </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m[14:49:08]\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.297\u001b[0m for the whole batch.  \u001b]8;id=812657;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py\u001b\\\u001b[2mcontainer.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=648187;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py#479\u001b\\\u001b[2m479\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0mUse \u001b[32m'Batch.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed FlexCredit \u001b[2m                \u001b[0m\n",
       "\u001b[2;36m           \u001b[0mcost after the Batch has completed.                  \u001b[2m                \u001b[0m\n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[14:50:09] </span>Batch complete.                                      <a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">container.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py#522\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">522</span></a>\n",
       "</pre>\n"
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       "\u001b[2;36m[14:50:09]\u001b[0m\u001b[2;36m \u001b[0mBatch complete.                                      \u001b]8;id=522134;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py\u001b\\\u001b[2mcontainer.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=4840;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/container.py#522\u001b\\\u001b[2m522\u001b[0m\u001b]8;;\u001b\\\n"
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       "\n"
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   ],
   "source": [
    "batch = web.Batch(simulations=sims)\n",
    "batch_results = batch.run(path_dir=\"data\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3e56f7e1",
   "metadata": {},
   "source": [
    "Plot $|H_y|^2$ for each simulation. We can see that the SPP propagates to the right for smaller $s$ and to the left for larger $s$.\n",
    "\n",
    "$C_{exc}$ is also computed for each simulation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "3905877c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T21:50:10.710561Z",
     "iopub.status.busy": "2023-08-18T21:50:10.710344Z",
     "iopub.status.idle": "2023-08-18T21:50:23.407165Z",
     "shell.execute_reply": "2023-08-18T21:50:23.406588Z"
    }
   },
   "outputs": [
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       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>data/fdve-<span style=\"color: #ffff00; text-decoration-color: #ffff00\">eb6d2dd3-b811-4bd0-9e62-2b8ac960291a</span>v1.hdf5   <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">             </span>\n",
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      ],
      "text/plain": [
       "\u001b[2;36m[14:50:19]\u001b[0m\u001b[2;36m \u001b[0mloading SimulationData from                             \u001b]8;id=505399;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py\u001b\\\u001b[2mwebapi.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=178076;file:///home/momchil/Drive/flexcompute/tidy3d-docs/tidy3d/tidy3d/web/webapi.py#590\u001b\\\u001b[2m590\u001b[0m\u001b]8;;\u001b\\\n",
       "\u001b[2;36m           \u001b[0mdata/fdve-\u001b[93mdc0346dc-e4ac-41ce-b2d1-acfefeb7ce65\u001b[0mv1.hdf5   \u001b[2m             \u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x1200 with 10 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(len(s_array),1, tight_layout=True, figsize=(8,12))\n",
    "\n",
    "C_exc = []\n",
    "\n",
    "# computer |H_y|^2 and C_exc for each simulation\n",
    "for i, s in enumerate(s_array):\n",
    "    sim_data = batch_results[f\"s={s:.3f}\"]\n",
    "    Hy_abs = sim_data['field'].Hy.abs\n",
    "    Hy_squared = Hy_abs**2\n",
    "    Hy_squared.plot(x='x',y='z',ax=ax[i], vmin=0, vmax=3e-4, cmap='hot')\n",
    "    ax[i].set_title(f's={s:.3f} um')\n",
    "    C_exc.append(cal_C_exc(sim_data))\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9a899572",
   "metadata": {},
   "source": [
    "Plot $C_{exc}$ as a function of $s$. $C_{exc}$ can be tuned from >0.98 to <-0.98 by changing $s$. Compared to the [original paper](https://www.science.org/doi/10.1126/sciadv.adf3510), the result here is slightly different, which we attribute to slightly different material properties used. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "06e793ed",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T21:50:23.530988Z",
     "iopub.status.busy": "2023-08-18T21:50:23.530853Z",
     "iopub.status.idle": "2023-08-18T21:50:23.656389Z",
     "shell.execute_reply": "2023-08-18T21:50:23.655895Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(s_array*1e3, np.array(C_exc), c='red', linewidth=3)\n",
    "plt.xlabel('s (nm)')\n",
    "plt.ylabel('$C_{exc}$')\n",
    "plt.ylim(-1,1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a76f90c7",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "applications": [
   "Nanophotonics"
  ],
  "description": "This notebook demonstrates the unidirectional propagation surface plasmon polariton excited by a carefully engineered quasi-PT symmetric metagrating.",
  "feature_image": "./img/nonhermitian_metagrating.png",
  "features": [
   "Parameter sweep",
   "Material fitting"
  ],
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "keywords": "non-hermitian, surface plasmon polariton, SPP, metagrating, 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": "3.10.12"
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  "title": "SPP on Non-Hermitian Metagratings | Flexcompute",
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