EMESolver.ipynb

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   "source": [
    "# EME solver\n",
    "\n",
    "This notebook demonstrates basic usage of Tidy3D's EigenMode Expansion (EME) solver. We simulate some example devices and discuss some tips and tricks.\n",
    "\n",
    "EME is a frequency-domain method for propagating electromagnetic fields and computing the full bidirectional scattering matrix of a device along a fixed axis. It is useful for simulating longer waveguide devices; for such devices, it can be much faster than FDTD, although sometimes the results can be less accurate. EME is well-suited for devices in which the propagation is primarily confined to a particular axis. It is not well-suited for free-space or omnidirectional propagation. For example, in this notebook, we simulate an evanescent waveguide coupler and a waveguide taper, as shown below.\n",
    "\n",
    "<img src=\"img/eme_evanescent_coupler.png\" height=\"600\" alt=\"Evanescent Waveguide Coupler\">\n",
    "<img src=\"img/eme_taper.png\" height=\"600\" alt=\"Waveguide Taper\">\n",
    "\n",
    "In a translationally invariant waveguide, the eigenmodes propagate independently, each with its own propagation constant. At a discontinuity in the transverse profile of a device, the forward and backward travelling modes on each side couple together; there is reflection and transmission described by a scattering matrix, expressed in the basis of eigenmodes on each side. The tangential fields are continuous at the interface. For a piecewise uniform device, we can calculate the scattering matrix at each discontinuity and then combine them to obtain the full scattering matrix. For a general device whose cross-sectional profile may vary continuously, we can discretize the device into cells into along the propagation axis, assuming that the cross section is uniform within each cell. If the discretization is fine enough, the resulting piecewise uniform geometry approaches the true continuously varying geometry.\n",
    "\n",
    "In our EME solver, the simulation is divided into cells along the propagation axis. In each cell, we assume the device is translationally invariant and solve for the modes of the device. Between each pair of cells, the device cross section and modal basis can change; we impose field continuity conditions and solve for the coupling between the two modal bases."
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   "source": [
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "import tidy3d as td\n",
    "from tidy3d.plugins import waveguide\n",
    "import tidy3d.web as web"
   ]
  },
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   "source": [
    "## Evanescent Waveguide Coupler\n",
    "\n",
    "As a first example, we look at evanescent coupling between a pair of waveguides. Using EME, we can efficiently simulate long devices and perform length sweeps to help design these devices."
   ]
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   "source": [
    "### EME Simulation Setup\n",
    "\n",
    "We first define the materials and geometries present in the simulation."
   ]
  },
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   "execution_count": 2,
   "id": "5de5ea47-1d6f-4894-8ae7-0c41e997a065",
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   "source": [
    "si = td.material_library[\"cSi\"][\"Li1993_293K\"]\n",
    "sio2 = td.material_library[\"SiO2\"][\"Palik_Lossless\"]\n",
    "\n",
    "l = 6\n",
    "h = 0.22\n",
    "w = 0.45\n",
    "g = 0.05\n",
    "\n",
    "geo = td.GeometryGroup(\n",
    "    geometries=[\n",
    "        td.Box(size=(w, h, 2 * l), center=(-(w + g) / 2, 0, 0)),\n",
    "        td.Box(size=(w, h, 2 * l), center=((w + g) / 2, 0, l)),\n",
    "    ]\n",
    ")\n",
    "\n",
    "wvgs = td.Structure(geometry=geo, medium=si)"
   ]
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    "Now we define the EME simulation.\n",
    "\n",
    "The EME simulation has a `grid_spec` field and an `eme_grid_spec` field. The `grid_spec` field defines a Yee grid like the one present in FDTD simulations. This grid is used for mode solving and for storing field data. In contrast, the `eme_grid_spec` defines a 1D grid along the propagation axis, dividing the simulation into EME cells. The choice of EME grid can be important in determining the speed and accuracy of the EME simulation. Here, we use an `EMEExplicitGrid` with three cells. We make sure that the cell boundaries are aligned with any discontinuities in the device profile, and we make sure that the number of modes in each cell is large enough to capture the physics of interest.\n",
    "\n",
    "The EME solver always calculates the full bidirectional scattering matrix of the device. The scattering matrix is defined in the modal basis of the two ports of the device, which are the boundaries of the first and last EME cells. By default these would be the simulation bounds along the propagation axis; here, we set `port_offsets` to shift these boundaries. We also add an `EMEFieldMonitor` to help visualize the field.\n",
    "\n",
    "Finally, we add a `sweep_spec` to the simulation in order to sweep the length of the coupling region. Simple length sweeps can be easier in EME simulations than in FDTD simulations -- the modes can be reused so there is no need to run a new simulation each time. The sweep settings are applied when calculating the scattering matrix, but have no effect on the `EMEFieldMonitor` or any other monitors."
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "eme_grid_spec = td.EMEExplicitGrid(\n",
    "    boundaries=[0, l],\n",
    "    mode_specs=[\n",
    "        td.EMEModeSpec(num_modes=2),\n",
    "        td.EMEModeSpec(num_modes=4),\n",
    "        td.EMEModeSpec(num_modes=2)\n",
    "    ]\n",
    ")\n",
    "\n",
    "eme_field_mon = td.EMEFieldMonitor(\n",
    "    name=\"field\", \n",
    "    size=(td.inf, 0, td.inf)\n",
    ")\n",
    "\n",
    "lengths = np.linspace(l, 6*l, 100)\n",
    "\n",
    "eme_sim = td.EMESimulation(\n",
    "    center=(0, 0, l / 2),\n",
    "    size=(6 * w, h + 4 * w, l + 4 * w),\n",
    "    structures=[wvgs],\n",
    "    medium=sio2,\n",
    "    symmetry=(0, 1, 0),\n",
    "    grid_spec=td.GridSpec.auto(min_steps_per_wvl=10),\n",
    "    monitors=[eme_field_mon],\n",
    "    eme_grid_spec=eme_grid_spec,\n",
    "    freqs=[td.C_0 / 1.55],\n",
    "    axis=2,\n",
    "    port_offsets=(w, w),\n",
    "    sweep_spec=td.EMELengthSweep(scale_factors=list(lengths / l))\n",
    ")\n",
    "\n",
    "_ = eme_sim.plot(y=0, monitor_alpha=0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "23ab060d-0ce6-4887-93f8-7de32f602378",
   "metadata": {},
   "source": [
    "Now we run the simulation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ba01adb8-e540-4f20-b949-4debf06e4a11",
   "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\">10:23:26 BST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'EME evanescent coupler'</span> with task_id                 \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'eme-14c11870-491e-4652-9d76-0fbf7e63b0a6'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'EME'</span>.    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:23:26 BST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'EME evanescent coupler'\u001b[0m with task_id                 \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'eme-14c11870-491e-4652-9d76-0fbf7e63b0a6'\u001b[0m and task_type \u001b[32m'EME'\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>Tidy3D's EME solver is currently in the beta stage. Cost of EME    \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>simulations is subject to change in the future.                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTidy3D's EME solver is currently in the beta stage. Cost of EME    \n",
       "\u001b[2;36m             \u001b[0msimulations is subject to change in the future.                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6175700e591e4693aafe3826ac872e1b",
       "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\">10:23:29 BST </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:23:29 BST\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": "",
       "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\">10:23:45 BST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.027</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>the billed FlexCredit cost after a simulation run.                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:23:45 BST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.027\u001b[0m. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get\n",
       "\u001b[2;36m             \u001b[0mthe billed FlexCredit cost after a simulation run.                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "model_id": "c39b894274e949b6b161b752067a4d7c",
       "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\">10:24:09 BST </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:24:09 BST\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "45ce80f678b940aea4a56bb140f7fa32",
       "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\">10:24:20 BST </span>loading simulation from simulation_data.hdf5                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:24:20 BST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "eme_sim_data = web.run(eme_sim, task_name=\"EME evanescent coupler\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c00ae8e9-3801-44e6-9b85-2179bc913047",
   "metadata": {},
   "source": [
    "### EME Simulation Results\n",
    "\n",
    "We can visualize the field data recorded by the field monitor. The field data is indexed by `eme_port_index` and `mode_index` in order to specify which port and which mode are excited."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "0a312695-29aa-45e2-80d5-30a3a4578767",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "eme_sim_data.plot_field(\"field\", \"Ex\", eme_port_index=0, mode_index=0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "627c5b85-e3d9-49d8-aff5-d123435ff278",
   "metadata": {},
   "source": [
    "We can plot the transmission as a function of the length of the coupling region."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "1c0a52fb-23e3-47ea-8cd4-87bbe62aba16",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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fzRXZcQj01eNYQwe2lXnP7weTGw2ZlxUPvU7AvsoWdmQlxfRarHLxrlKnpE6Vay/a3FdpYt0NKeq7QycAABdnRCkciU2Ar0HeOpYabnoDJjcaEhHoi+nptl8Y9rwhpeQfbURDew/CAnwUOwlyqsQwf6REBMDCuhtSkNUqyl2JLx4ZrXA0fS4cafs93eZF27ZMbjSGs6ZIaRuLbe9MZ4+OhY9ePS8hFwy31f6w7oaUsq/KhMb2HgQZDZiYqlx7hFNNtdek7atqQVt3r8LRuId6XploUOaOjYOPXkBxbSsO1bYqHQ55IWnffnq6OlZtJNIq0tYSJjekDGlLKm9EpKoS/8QwfySF+8NiFbHTS1Y21fPo06CE+vtgRoZtuZNbU+Ru7d292Gc/CSK9G1QLqe5mL+tuSCFSMfHFGerZkpJIpxrzy7wj+Wdyo0F9p6aqvepoHymvoLwJFquIxDB/JIb5Kx1OP1LdjVUEdhz1jnenpB6tXWYU2FdFZqio3kYitUvY5iUnCpncaNCs0bEwGnQoq2/H7uMmpcMhL5Jv35LKVUFvm4Gw7oaUsqWkAb1WEWmRAUiJDFA6nNNIKze7jzd7xSBNJjcaFGQ04IpsW2HxP7ccUzga8iZSvY0aGvcNpK/fDZMbcq/vDktHwNW3agMAqZEBiA0xwmwRUVDu+SubTG406hd5qQBsDf2a2nsUjoa8QZfZgsKKZgDAFJUmN7nDWHdDyvjukPqOgJ9MEAS5Ti7fC5r5MbnRqAnJYchKDEFPrxXv7qhQOhzyAnuOm9DTa0VUkC+GRwUqHc6AEsL8kRrJuhtyr6P17Shv7ICPXpBXD9VI2k72hrobJjcaJQgCfnGBbfXmX9uOwWJlYTG51vajfVtSgqD8yIUzkQont3BritxE2pKalBqOQKNB4WjOTEpuCsqb0NNrVTga12Jyo2FXjU9EiJ8BFY2dcn8FIleR623S1LklJblgBIuKyb36Ri6oc0tKkh4ThIhAX3T3WrG3slnpcFyKyY2G+fvq5Ymvb245qmww5NF6LVbslFdu1LvsDvTV3eyrNKGFdTfkYj29VmyxN45Ua72NRBAE+c2Jpw+ZZXKjcT+3b01tPHQC5Q0dCkdDnupAdQvaeywI8TNgVFyw0uGcVf+6G89+ASfl7TzWhPYeC6KCfDEmPkTpcM4pd7jUzM+zfzeY3GjcsKhAXJwRDVEE3trGY+HkGtIL4ZS0COh16q23keTZuxVvPsKtKXItqd7mopHR0Gngd0Nq47DjaCN6LZ5bd8PkxgNIhcVrd1R4RXMmcj+197c51bT0KADA9/Z2+ESu8u3BOgCQx+KoXWZcCEL8DGjvseBAdYvS4bgMkxsPcGlmDBLD/NHcYcannDdFTma1iv1OSmnBRelR0AlAcW0rqpo7lQ6HPFRlcycO1rRCJ2gnudHrBExJ8/wj4UxuPIBeJ+Cm3BQAwDvb2fOGnOvIiTY0d5jh76NHVmKo0uEMSnigL8YnhwEANvEkIbnIf+2rNhNTwhEe6KtwNIMn1d1s8+C6GyY3HuL6iUkAbMVt1Sa+UyXnkV4AJ6WGw0evnZeMmRkxAICNxXUKR0KeStqSunR0jMKROEY68bj9aCOsHtojTTuvVHRWcaF+mJIWDgD4Ym+NwtGQJ8nXWL2NZOYo2zbBj0caYPbgwklSRmePBT8esdV0XZqpreQmKyEE/j56mDrNKDnRpnQ4LsHkxoNIwzS/2FutcCTkKURRRH6Z7cTRFJU37ztVdmIoIgJ90dbdi53HOIqBnGtLaT26e61IDPPHqFh1t0c4lUGvw7gk2xazpw7RZHLjQeZlxUMQbFtTLKIkZzje1Inalm746AVMSAlTOhyH6HQCLh5pOzW1sZh1N+RcG4psW1KXZEarehzJmUxMta30FxxrVjYQF2Fy40HiQv0wOVXamuLqDZ0/acVjbEIo/Hz0CkfjuJmjbNsFLComZxJFUa63mZUZq3A0QzMpxfa3YidXbkgLruTWFDmRtGQ90f5CqDUXjYyCIABF1S2obelSOhzyEAdrWlFl6oKfj07VU8DPRlqJPVLXBlOH540pYXLjYeZl27amCsqbuTVF501auZmUqs3kJjLIiHH24+ubuDVFTiIdAZ8+IkqTK5qA7XcjLTIAALCrwvNWb5jceJjYED9MSbUVfnL1hs5He3cviuwdTCemhikbzHmYwa0pcrL/avQI+KnkupvyZmUDcQEmNx7oynG2ranPmdzQedhd0QyrCCSG+SM+1F/pcIZMOhL+/eETHj1Lh9yjsb1H3q69ZJTGk5sUqaiYKzekAfOy4iAIwK7yZlRya4qGSHoB19opqVONTwpDWIAPWrp6sauiWelwSOM2HaqDKAKj40OQEKbdpB/oS24KK5ph8bBmfkxuPFBMiJ/ck+RLrt7QEGm93kai1wm4aKRt9YZ1N3S+pCPgszTWuG8go+KCEeirR1t3Lw7XtSodjlMxufFQ0qkpbk3RUFitorwPr/XkBgBm2ocabjzEUQw0dGaLFd/Za7cu8YDkRq8TkGNfmfW0RpeKJzerVq1CWloa/Pz8kJubi/z8/LNe/4UXXsCoUaPg7++P5ORkPPjgg+jq4hHPU528NXW8qUPpcEhjSuvbYOo0w89Hh9HxIUqHc94utic3+ypbUNfK1wsamp3HmtDS1YuIQF/k2Aezal1f3U2zsoE4maLJzdq1a7F48WIsX74cBQUFGD9+PObOnYu6uoHfXb399tv43e9+h+XLl6OoqAj/+Mc/sHbtWvz+9793c+TqFxPiJzdpkuafEA2W9C5uXFKYpoZlnkl0sFFuNy81XyNylPTcmZkRDb1Oe12JByKdmNrlYc38FH3VWrlyJe644w7ceuutGDNmDFavXo2AgAC89tprA15/8+bNmD59Om666SakpaVhzpw5uPHGG8+52uOtJtvrbgpZREkOkt7FecKWlGT2aFsn2W8O1CocCWnVBg85An6yicm23/HS+nY0tvcoHI3zKJbc9PT0YOfOnZg9e3ZfMDodZs+ejS1btgz4PdOmTcPOnTvlZKa0tBRffPEFrrjiijPeT3d3N1paWvp9eAvplMsuD+xhQK4ltWSfpNHOxAO5bIwtufn+cD06eywKR0NaU97QgSN1bf0K1D1BaIAPRkQHAvCs1RvFkpv6+npYLBbExvafyxEbG4uampoBv+emm27C448/jgsvvBA+Pj4YMWIEZs6cedZtqRUrViA0NFT+SE5OdurPoWYT7HvCxbWtaOvuVTYY0ozmjh4cqWsD0Ldk7Qky44KRGOaP7l4rfuBWLTnovwdtK36TU8MR6u+jcDTOJdfdMLlRxsaNG/HHP/4Rf/vb31BQUIAPPvgAn3/+OZ544okzfs/SpUthMpnkj4qKCjdGrKyYED8khvlDFIE93JqiQZJW+oZFBSIi0FfZYJxIEAR59WY9t6bIQf+1txGY5UFbUpJJHjgh3KDUHUdFRUGv16O2tv+LTG1tLeLi4gb8nkcffRS/+MUv8Ktf/QoAkJ2djfb2dtx555145JFHoNOdnqsZjUYYjUbn/wAaMSElDJXNnSgob8K09CilwyEN0PqwzLOZPToWazYfxYaDtbBaReg8pCiUXKu9uxdbSxoAAJd6wBHwU0krtLuPN6PXYoXBAw4RKPYT+Pr6YtKkSdiwYYN8mdVqxYYNG5CXlzfg93R0dJyWwOj1tqFlouhZ3RWdRfoDxbobGixPad43kNzhEQj2M6C+rYfdimnQfjxSjx6LFSkRARgRHaR0OE6XHh2EYD8DOnosOFjjGc38FE3PFi9ejFdeeQVvvPEGioqKcPfdd6O9vR233norAGDhwoVYunSpfP358+fjpZdewjvvvIOysjJ88803ePTRRzF//nw5yaH+5KLiimYmgHROvRarfLrOE5MbH70OM+3zgNYXcWuKBkcelJkZA0HwvNU+nU7AhBTPOhKu2LYUACxYsAAnTpzAsmXLUFNTg5ycHKxbt04uMi4vL++3UvOHP/wBgiDgD3/4AyorKxEdHY358+fjqaeeUupHUL0xCSHw1evQ2N6D8sYOpEYGKh0SqdjBmlZ09FgQbDRgZIznvUMFgNmjY/Dp7iqsP1CLhy/PVDocUjlRFPslN55qYkoYvjt0AjuONeEXeWlKh3PeFE1uAGDRokVYtGjRgF/buHFjv88NBgOWL1+O5cuXuyEyz2A06DE2MQS7ypuxq7yZyQ2dlfSuLSclzGPrUWaOioFBJ+BwXRuO1rcjLYq/E3Rm+6taUNfajQBfPXKHRygdjstI8wh3HPWMlRvtVw3ROU1I9qzlRnKd7Uc9t5hYEurvI/+R4tYUnYu0ajM9PQpGg+eWP+Qkh0GvE1DZ3Imq5k6lwzlvTG68wMl1N0RnIooith9tBABMHea571ABdiumwZOSG0+YAn42gUYDshJsc+Sk1wEtY3LjBaTk5kBVC7rM7MxKAzve1IlqUxcMOkF+zngqKbnZcawJTR7Ucp6cq76tG7uPNwPwjCng5zLZg7ammNx4gcQwf0QHG9FrFbG30qR0OKRS0ru1sYmhCPBVvBzPpZIjApAZFwyLVcTGQxykSQPbWHwCoghkJYYgNsRP6XBcbkqabTuaKzekCYIgYKI8Z0r7GTm5hrwllea59TYnk7sVFzG5oYFJU8AvHeX5qzYAMCnVtnJTXNsKU6dZ4WjOD5MbLzGBzfzoHPLLbMmNdGrC012cYRt+uK20gT2g6DRWq4gfS2wzyGaM8pxBmWcTHWzEsKhAiKL250wxufES0hBNJjc0kIa2bpScaAfgPcnNuKRQGA061Lf1yD87keRAdQuaO8wIMhowPilM6XDcZrK9eecOjW9NMbnxEtlJodDrBNS0dKHapP1jfuRc0hHwkTFBCPegYZlnYzTo5cLpbWUNygZDqrPZvmozdViER8xaGizpzc12jRcVe8//mJcL8DUgMy4YAFdv6HRSvc0UDz8CfqrcYZEAgG2l2n6XSs734xFbwjttRKTCkbjXZHvN3e6KZnT3avd0LZMbLzKBRcV0BjvkYmIvS27szfy2lbHuhvr09FrlGrTp6VEKR+New6ICERnoi+5eK/ZVtigdzpAxufEiUqfiAq7c0Enau3uxr8r2IuZtKzcTU8Lhq9ehtqUb5Y0dSodDKrH7eDM6zRZEBvpiVGyw0uG4lSAI8uqNlutumNx4kfH2ouIDVS2wWPkulWx2lTfDYhWRGOaPxDB/pcNxKz8fPcYnhwLg1hT1+fGIrd7mghGRHjtj7Ww8oe6GyY0XGRYVCD8fHTrNFhxr4OkQssmX6m28pL/NqaRRE1tZVEx2m+31NtNHeNeWlETqVLzzWCOsGn0jzOTGi+h1AkbF2WaHHKjW7l4qOdf2Mu8sJpawqJhO1tHTi10VthWL6eneVUwsGZsQAj8fHZo6zCitb1M6nCFhcuNlxsTb9o+LmNwQbIWT0gu5txUTSyalhsvTkI83se7G220/2gSzxbZNmxIRoHQ4ivDR6+QaTa1uTTG58TKj4+0rN1VMbgjYV2VCl9mK8AAfpMcEKR2OIgKNBmQnsu6GbDbb622mjYiEIHhfvY1EnjNVps3fCSY3XmaMPbkpqm5VOBJSA+mFa3JahFe/kOfat+TyNfpCTs4jjVzwtiPgp5LqbrYf0+bvBJMbL5NpT25qWrrQ2N6jcDSktO1e2t/mVCf3uyHv1dzRg/32VW1va953qgkpYdAJQEVjJ2pbupQOx2FMbrxMkNGA1EjbPjLrbryb1SrK++neWkwsmZwWAZ0AHG3o0OQLOTnH1tIGiKJtDElMiJ/S4Sgq2M8HmfYDKDuPaa/uhsmNFxodx7obAoprW2HqNMPfR4+xCSFKh6OoED8fjLE/BltLuXrjrbx15MKZTLIP0WRyQ5ogvYhz5ca7/XDYVluQOzwCPl40GPBM5CPhrLvxWlK9zTQvr7eRSJ2KmdyQJsgnppjceLXv7adCLuQLOYC+Zn4sKvZONaYulJ5oh04ALhjOlRvANp4EAPZXmdBl1tYQTSY3XkhauTlS16bpqa80dF1mC/LtxbMXjYxWOBp1kIqqj9S1ob6tW+FoyN2k4vqxCaEI9fdROBp1SAr3R0ywEWaLiL2VJqXDcQiTGy+UEOqHED8Deq0ijtRps/sknZ+CY03oMlsRHWxERqx39rc5VfhJQxJ3aLRxGQ3dvirbH29p1hjZhmhqte6GyY0XEgSBzfy83A8nbUl5c3+bU01ICQMA7DnerGgc5H77K22vhWMTmNycjMkNaUpfUTGb+XmjH1hvM6DxyWEAgN1MbryKKIryyk0Wk5t+JtqTm4JjTRBF7QzRZHLjpfqKirW1j0rnr6m9R94/v3Akk5uTjU8KAwDsqTBpdhoyOa7K1IXmDjMMOgEZcdymPdnYhBD4GnRoaO/BsQbtzF5jcuOlTh7DoKVsnM7f5hJbo7KM2CDEenmjslNlxAbBz0eH1u5elNa3Kx0Ouck+e7KfERsMo0GvcDTqYjToMc4+e01LW1NMbrzUyNggGHQCTJ1mVJnYkdWb/HDkBADgwnSekjqVQa+Th2jurmhWNhhym/325CYr0bubWZ6JVHezg8kNqZ3RoJenQBexqNhriKKI7+3N+y7iltSApK0p1t14j33218CsRNbbDGTSSXU3WsHkxouxmZ/3OdbQgeNNnfDRC/KwSOpPLirmyo3XkLaleFJqYFJR8aE628gWLWBy48VGx9t6enAMg/eQTklNTAlHgK9B4WjUKcee3ByobmGTSy9Q19KFutZu6IS+10TqLyrIiLTIAIgiUKiRpJ/JjRcbE297l8KVG+8hzZPiEfAzSwr3R0SgL8wWka0SvMB++5bUiOggJvxnMVFj/W6Y3Hgx6V3KsYYOtHX3KhwNuZrFKmKzfTAgj4CfmSAI8uoNt6Y83z65mJhbUmejtbobJjdeLDLIiNgQIwCguIarN55uz/FmtHT1IsTPgHH2olkamFxUzOTG40nN+8Ym8KTU2UjJza7yJlg00AOKyY2Xk4qK9/PElMeTtqSmjYiCXseRC2cjzRcq5Ikpj7evkielBmNkTDCCjQa091hQXKP+7VomN16ur5kfkxtPt7nENgV8OrekzklauSk90a6Z0yHkuKb2HlQ2dwLoG0lDA9PrBOTYZ6/tLFf/1hSTGy8nHX3kAE3PZrZYsavC9oJ0wTAeAT+X8EBfpEYGAAD2HueIEk8lrVinRQYgxM9H4WjUb3Kq7bVj59FGhSM5NyY3Xk56t3KwphW9FqvC0ZCr7K9qQZfZirAAH4yI5uycwWAzP88n19twS2pQtNSpmMmNl0uNCECArx7dvVaUcZaOx9phf6c1OTUcOtbbDIrUzE8rfT3IcfJJKTbvG5SclDDoBOB4UydqW9Q9tofJjZfT6QQWFXuB/DJbcjMljVtSg5UjFRVXNHO4rIeSXvN4UmpwgowGZMbZHiu197thckNyUTGb+XkmURTlZeTJTG4GbWxCKPQ6ASdau1Gj8nep5LjWLrO8Ws3kZvAmp9m3po4yuSGVk+puWFTsmUrr29HY3gOjQcepxw7w89EjM87W6JL9bjyP9HqXEOqHyCCjwtFoh1R3o/YTU0xuSH7XcqC6hcvvHkiqtxmfHAajQa9wNNrSV3fDE1OeRpoEzmJix0jJzf5KEzp71Dt7jckNISM2GHqdgMb2HtS2dCsdDjnZdvvy8RT7cjINXo79xFRhhbrfpZLj9rOYeEgSw/wRF+KHXquo6pOETG4Ifj56jIgOBAAcqOY7VE+z/SiLiYcqO8n2h29/ZQusGmg5T4PHYuKhEQShb2tKxUXFTG4IwElFxay78Sh1LV041tABQeib6kuDlx4TBF+DDq3dvaho6lA6HHISs8WK0vo2AECmfYAwDR6TG9IMqaiYx8E9i3RKKjMuhB1Yh8BHr5OLivm74TmONXTAbBER6KtHYpi/0uFojnRiauexJtWuaDK5IQAnjWHgcXCP0rclxVWboZK2LaSGb6R9h2ttgx/TY4IgCGxq6ajR8SHw99HD1GlGyYk2pcMZEJMbAtA3HfxYQwdauzgo0FNIyQ372wydlPhz5cZzHK6z/UFOj+GW1FD46HUYb29yqdZRDExuCAAQEeiL+FA/ALY5U6R9bd29cg0VV26Gbqy8ZWtiqwQPISU3I2M5Z22o5CGaTG5I7VhU7Fl2lTfBKgJJ4f6ID2VdwVCNjg+BXiegvq0Hda1sleAJpG2pkTFMboZK7UXFTG5Ixk7FnqWvvw23pM7Hya0S9lex7kbrei1WlNrHLmTEcltqqCam2JKbsvp21LepL+lnckMyzpjyLNvLpHobbkmdL6nR275K/m5oXXljB3p6rfDz0fGk1HkIDfCRV77UuHrD5IZkUuFkcU0rzBarwtHQ+TBbrNhVwZUbZxlzUt0NaVtfMXEQdDqelDof0hunAhUmN4ahfFNzczPy8/NRV1cHq7X/H8GFCxc6JTByv6RwfwQbDWjt7kXJiTZ5tD1pz4GqFnSZrQj190F6NOsKzldWIlduPMURqZiYJ6XO26TUCPw7v0KVJ6YcTm4+/fRT3HzzzWhra0NISEi/HgGCIDC50TCdTsDo+BDkH23EgaoWJjcaJm0tjksK5btTJ5BWbiqbO9Hc0YOwAF+FI6KhOrnHDZ0fqah473ETuswW+PmoZzCvw9tSDz30EG677Ta0tbWhubkZTU1N8kdjY6MrYiQ3YlGxZyi2H+cfxYJJpwjx80FKRAAA/m5onXwMnMnNeUuLDEBkoC96LFbVbdk6nNxUVlbivvvuQ0BAgCviIYWxqNgzHKyx/f9lxnP1zVmyEu2dilX2Ik6DZ7GK8rYUT0qdP0EQMMF+ampXebOywZzC4eRm7ty52LFjh9MCWLVqFdLS0uDn54fc3Fzk5+ef9frNzc245557EB8fD6PRiIyMDHzxxRdOi8fbnTxjig3LtEkURbkRozQXic4fOxVr3/GmDnT3WuFr0CE5gm/QnWFCShgAYFdFs6JxnMrhmpsrr7wSv/nNb3DgwAFkZ2fDx6f/ML6rrrpq0Le1du1aLF68GKtXr0Zubi5eeOEFzJ07F8XFxYiJiTnt+j09PbjssssQExOD//znP0hMTMSxY8cQFhbm6I9BZzAyNggGnQBTpxlVpi4eldSgutZuNHeYoRNYV+BMnDGlfYdrbas2I6KDoGctmlNIyU2hylZuHE5u7rjjDgDA448/ftrXBEGAxWIZ9G2tXLkSd9xxB2699VYAwOrVq/H555/jtddew+9+97vTrv/aa6+hsbERmzdvlpOqtLS0s95Hd3c3urv7Ggy1tPBd19kYDXqkxwThYE0r9leamNxokLRqkxYVqKoCP62TVm5K69vR0dOLAN8hHTYlBbHexvnGJYVBEGzF9rUtXYgN8VM6JABD2JayWq1n/HAksenp6cHOnTsxe/bsvmB0OsyePRtbtmwZ8Hs++eQT5OXl4Z577kFsbCyysrLwxz/+8az3u2LFCoSGhsofycnJg/9hvRSX37XtoL1eajRPuzlVdLARsSFGiCJQxJo0TTpcx7ELzhZkNMgHF9RUd6NYE7/6+npYLBbExsb2uzw2NhY1NTUDfk9paSn+85//wGKx4IsvvsCjjz6K559/Hk8++eQZ72fp0qUwmUzyR0VFhVN/Dk8kLb+zqFib5JNSrLdxOib+2ib3uGExsVPJW1MqqrsZUnKzadMmzJ8/H+np6UhPT8dVV12F77//3tmxncZqtSImJgYvv/wyJk2ahAULFuCRRx7B6tWrz/g9RqMRISEh/T7o7MbyOLimHWRy4zKsu9Euq1WUa244Ddy5JiRLJ6bU08zP4eTmX//6F2bPno2AgADcd999uO++++Dv749Zs2bh7bffHvTtREVFQa/Xo7a2tt/ltbW1iIuLG/B74uPjkZGRAb2+r45g9OjRqKmpQU9Pj6M/Cp3B6JMaljW183HVkl6LVX53ym0p5+PKjXZVNnei02yBj15AKk9KOVWOfeVmz3ETelUyusfh5Oapp57Cn/70J6xdu1ZObtauXYunn34aTzzxxKBvx9fXF5MmTcKGDRvky6xWKzZs2IC8vLwBv2f69Ok4cuRIv5EPhw4dQnx8PHx92THUWU5uWMbaAm0pq29Hj8WKAF89ksJZDO5s0srNodpW9PSq40WcBkdK+odHBcGg51hFZ0qPDkKw0YBOswXF9g7QSnP4f7i0tBTz588/7fKrrroKZWVlDt3W4sWL8corr+CNN95AUVER7r77brS3t8unpxYuXIilS5fK17/77rvR2NiI+++/H4cOHcLnn3+OP/7xj7jnnnsc/THoHMae1O+GtEPaksqIDebYBRdICvdHqL8PzBYRh1TyIk6DIxUTp3NLyul0OgHjk8MAqKfuxuHkJjk5ud9qi2T9+vUOn0RasGABnnvuOSxbtgw5OTkoLCzEunXr5CLj8vJyVFdX97vvr776Ctu3b8e4ceNw33334f777x/w2DidH6lTsdpaatPZFbN5n0sJgsCCe42S6214Usol5GZ+Kjkx5XCjhoceegj33XcfCgsLMW3aNADAjz/+iDVr1uDFF190OIBFixZh0aJFA35t48aNp12Wl5eHrVu3Onw/5JixiVy50SJ2Jna9zLgQbC5pwKEartxoySGOXXCpvuRGHUXFDic3d999N+Li4vD888/j3XffBWAr6l27di2uvvpqpwdIypAKJ0tOtKlu2iudmTRTahSLiV1mVJztnb9aagvo3ERRxJFa9rhxpfFJYQCAkhPtMHWYERrgc/ZvcLEhtdi89tprce211zo7FlKRmGAjooJ8Ud/Wg4M1rcix76eSerV19+J4UycArty4kvTOv5grN5pRbepCe48FBp2A1MhApcPxSJFBRqRGBuBYQwd2H2/GxRnRisbDknEakCAIGM26G02R/tjGhhgRHsjTg64iNYCra+1mqwSNkMYupEUFwtfAP3uuMsH+JlgNdTeD+l+OiIhAfX09ACA8PBwRERFn/CDPIW1NsZmfNnBLyj2CjAb5mD1PTGmDVB/FLSnXmpBib+ZXoXzdzaC2pf785z8jODhY/rcg8IipN+BxcG3hSSn3GRUbjONNnThU24rc4ZFKh0PnUGRP/KXVaHKNnJOOg4uiqGiuMKjk5pZbbpH//ctf/tJVsZDKjLEnNwdrWmCxitCzb4qqyWMXeBrE5TLigrHhYB2LijXiYDUTf3cYHR8CX4MOzR1mHG3owLAo5eqbHN58LCgowN69e+XPP/74Y1xzzTX4/e9/zxEIHmZYZCACfPXoMltRVt+mdDh0FqIo9q3cxPMF3NWkBPJQDX8v1M588kgSrty4lK9Bh+xEWzmD0kfCHU5u/t//+384dOgQAFu34gULFiAgIADvvfcefvvb3zo9QFKOTndyUTG3ptSspqULpk4z9DoB6awrcDnpxNTBmhaIoqhwNHQ20kiSIKMBiWEcSeJqaikqdji5OXToEHJycgAA7733HmbMmIG3334ba9aswfvvv+/s+EhhrLvRBmlLalhUIIwG9iRytRExgdDrBLR09aK2pVvpcOgspPl4o+I4ksQd1FJU7HByI4qiPLhy/fr1uOKKKwDYRiNIJ6rIc3AMgzawmNi9jAa9XE/Auht1K2K9jVtNSg3HgsnJuCUvTdE4HE5uJk+ejCeffBL//Oc/sWnTJlx55ZUAgLKyMnkmFHmOk4+Dc/ldvQ7a353yBdx9+upumNyo2UGelHKruFA/PPOTcbhhsmOzJp3N4eTmhRdeQEFBARYtWoRHHnkE6enpAID//Oc/8qwp8hwjY4Ng0Alo6jCj2tSldDh0BsX2oYDsceM+cqdirtyomnRSajQL7b2Kw+MXxo0b1++0lOTZZ5+FXs+9fk/j56NHekwQDta0Yn9VCxJYkKc6FquIkhPSUEAWE7uLNGOKjfzUq6m9BzUttjdlHJjpXRxeuamoqMDx48flz/Pz8/HAAw/gzTffhI+PsoOyyDXGJLDuRs2ONbSjp9cKPx8dksMDlA7Ha0h/LA/VtsJq5ZatGknN+5Ij/BHsx79P3sTh5Oamm27Ct99+CwCoqanBZZddhvz8fDzyyCN4/PHHnR4gKS/LXnezr5InptRImpuTHhPE0yBulBppm1PUZbaivLFD6XBoAH3N+7hd620cTm727duHqVOnAgDeffddZGVlYfPmzXjrrbewZs0aZ8dHKpCdJCU3XLlRo8O10twcLru7k14nyLOKWHejTiwm9l4OJzdmsxlGoxGA7Sj4VVddBQDIzMxEdXW1c6MjVRgTHwJBsDWKO9HKnh5qI63cjGS9jdvxxJS6Sf2fRvMUoddxOLkZO3YsVq9eje+//x7ffPMNLr/8cgBAVVUVIiM5QM4TBRoNGBFt+8PJ1Rv1OWQ/KcWVG/cbFccTU2plsZ48koQrN97G4eTmmWeewd///nfMnDkTN954I8aPHw8A+OSTT+TtKvI80ryQvUxuVIUnpZSVEddXVEzqcrShHd29Vvj76JESwUJ7b+PwUfCZM2eivr4eLS0tCA8Ply+/8847ERDAJ5CnykoMxYe7KpncqEx5Y4d8UiqJJ6XcTtqWKj1hO7Hma3D4/SK5iDR2ISMuGHoW2nudIf0m6vX6fokNAKSlpSEmJsYpQZH6SCs33JZSF2nFYER0EF/AFRAf6odgowG9VhGl9ZwQriZy8z7W23ilQa3cTJw4ERs2bEB4eDgmTJgAQTjzi2hBQYHTgiP1GJtgKyquNnWhvq0bUUFGpUMiAEfqpC0pvoArQRAEZMQFY+exJhTXtPLIsYrwpJR3G1Ryc/XVV8snpK655hpXxkMqFWg0YHhUIEpOtGNvpQmXjOIqnRpIKzfpMay3UUpGrC25Yd2NunBgpncbVHKzfPnyAf9N3iU7MRQlJ9qx7ziTG7U4XMuVG6WNshdyF9dwW0otWrrMqGzuBMAGft7qvKrf2tra0NLS0u+DPFcWT0ypCk9KqUOGfBycr39qIdXbJIT6ITSAYxe8kcPJTVlZGa688koEBgYiNDQU4eHhCA8PR1hY2GlFxuRZWFSsLhWNHejutcJo4EkpJUknpioaO9He3atwNAT01duwv433cvgo+M9//nOIoojXXnsNsbGxZy0uJs8yNjEUggBUmbrQ0NaNSBYVK+rkehuelFJOZJARUUFG1Ld141BtKyak8E2e0qR6m9Hx3K71Vg4nN7t378bOnTsxatQoV8RDKhZkNGBYVCBK7UXFM1l3oyh57AKLiRWXGReMH450o7iGyY0ayCs3rLfxWg5vS02ZMgUVFRWuiIU0gFtT6iEPzGQxseKkMQwHOWNKcb0Wqzx2gSs33svhlZtXX30Vd911FyorK5GVlQUfn/7FWuPGjXNacKQ+2Ymh+LiwikXFKtA3U4orN0qTZ0wxuVFccW0rOnosCDYaMCyKvxveyuHk5sSJEygpKcGtt94qXyYIAkRRhCAIsFgsTg2Q1CVLXrnhyRAl9T8pxXenSss8aYCm9FpIyig41gQAyEkJYy2aF3M4ubntttswYcIE/Pvf/2ZBsRcak2Dbw65s7kRjew8iAn0Vjsg7nXxSKplDARU3MiYYggA0tvegvq0H0cEstlfKTntyM5G1T17N4eTm2LFj+OSTT5Cenu6KeEjlQvx8MCwqEGX1tqLiGRnRSofklThTSl38ffVIi7T9XhTXtDK5UVBBeTMAYFIqkxtv5nBB8aWXXordu3e7IhbSiCwWFSvucB2b96mN1O9GOqlD7lfX2oXyxg4Igm1biryXwys38+fPx4MPPoi9e/ciOzv7tILiq666ymnBkTplJ4bg091V2HucyY1SeFJKfTLigrFufw2LihVUcKwZgC3RDPFjZ2Jv5nByc9dddwEAHn/88dO+xoJi78AxDMpjjxv1ObmomJRRUG6rt2GvIXI4ubFara6IgzRESm4qmzvZqVgBFquII3U8KaU20nHwQ7WtsFhF1kIpQDopxXobOq/BmZLm5mZn3AxpRIifj1zrIZ1MIPc53sSTUmqUFhkIo0GHLrMV5Y0dSofjdbp7LdhjX01mckMOJzfPPPMM1q5dK39+ww03ICIiAomJiSw09iKT0yIAADuY3Lid1LyPJ6XURa8TMNKe9BezqNjt9le1oKfXiohAX6RFMun3dg4nN6tXr0ZycjIA4JtvvsH69euxbt06zJs3D7/5zW+cHiCp02T7O6PtRxsVjsT7HKiS5uZwS0ptRsXa+kAV17QpHIn3KZD724Sx/xo5XnNTU1MjJzefffYZfvrTn2LOnDlIS0tDbm6u0wMkdZpiX7nZV2lCZ48F/r56hSPyHvurbEvvUkNFUo++omKu3LibVEw8kVtShCGs3ISHh8uDM9etW4fZs2cDAERR5EkpL5IU7o/YECPMFhG7jzcrHY5X2W9fuRmbEKpwJHQqDtBUhiiKcv3fJJ6UIgwhubnuuutw00034bLLLkNDQwPmzZsHANi1axe7FnsRQRD66m64NeU2zR09qGzuBMCVGzWSVm6O1rejy8w3e+5S2dyJ2pZuGHQCxiWFKR0OqYDDyc2f//xnLFq0CGPGjME333yDoCBbAV11dTV+/etfOz1AUq8pct0Ni4rdRaq3SY7wR6g/m5SpTXSwEWEBPrCKkI/rk+tJIxfGJIRwi5wADKHmxsfHB0uWLDnt8gcffNApAZF2SCs3Bcea2NfDTeQtqXhuSamRIAgYFRuMbWWNOFjTKveEItcq4LBMOoXDyQ0AHD58GN9++y3q6upOa+q3bNkypwRG6pcZF4wgowGt3b0ormnlNokbSMXEY/lYq1ZmnC254XFw95EngbOYmOwcTm5eeeUV3H333YiKikJcXFy/I3eCIDC58SIGvQ4TUsLw/eF67DjWyOTGDfbZV264IqBeo+Lsx8FruS3lDh09vThQbfu9YPM+kjic3Dz55JN46qmn8PDDD7siHtKYKWkR+P5wPbYfbcLCvDSlw/FonT0WlJ6w/cHkyo16SSemuHLjHnuOm2CxiogL8UNCqJ/S4ZBKOFxQ3NTUhBtuuMEVsZAGyc38yhohiqLC0Xi2opoWWEUgKsiImBC+iKuVlNzUtnSjuaNH4Wg8X9+WFJv3UR+Hk5sbbrgBX3/9tStiIQ3KSQmDXiegpqVLPqJMrtHX34arNmoWZDQgKdwfAPvduMOuchYT0+kc3pZKT0/Ho48+iq1btyI7Oxs+Pv2Po953331OC47UL8DXgKyEEOw+bsLOY01ICudMF1c5wGJizciMC8bxpk4crG7BBcMjlQ7HY4miiF32Y+ATmNzQSRxObl5++WUEBQVh06ZN2LRpU7+vCYLA5MYLTU6LwO7jJmw/2oircxKVDsdjsTOxdoxNCMX6ojrsPm5SOhSPVt7YgYb2HvjqdchKZNJPfRxObsrKylwRB2nYlLRw/OOHMuxgMz+XMVus8hYHV27UTzq1I9WDkGvsOql5n9HA5n3Ux+GaG6JTTUq1NfMrrm2FqcOscDSe6UhdG3p6rQgyGpASwa0/tctJCYMg2FYW6lq7lA7HYxWw3obOYEhN/I4fP45PPvkE5eXl6Onpfxpg5cqVTgmMtCM62IhhUYEoq29HQXkTLsmMUTokjyNtSY1JCIGOnaBVL8TPB6Nig3GwphUFx5pweVa80iF5pL56mzBF4yD1cTi52bBhA6666ioMHz4cBw8eRFZWFo4ePQpRFDFx4kRXxEgaMDk1HGX17cg/2sjkxgXYmVh7JqWG42BNK3YyuXGJzh4LiuzN+9iZmE7l8LbU0qVLsWTJEuzduxd+fn54//33UVFRgRkzZrD/jRebnGZ7cZGOZZJzsZhYe6TfiR2su3GJvZUm9FpFxAQb2byPTuNwclNUVISFCxcCAAwGAzo7OxEUFITHH38czzzzjNMDJG3ISba9kO85bkKvxXqOa5MjrFYRRexxozmTUmy1aPsqTegyWxSOxvOcXG/D5n10KoeTm8DAQLnOJj4+HiUlJfLX6uvrhxTEqlWrkJaWBj8/P+Tm5iI/P39Q3/fOO+9AEARcc801Q7pfcp70mCAEGQ3o6LHgEGfqOFVFUwdau3vha9AhPSZI6XBokJIj/BEVZITZImJvJY+EO5u0Ssx6GxqIw8nNBRdcgB9++AEAcMUVV+Chhx7CU089hdtuuw0XXHCBwwGsXbsWixcvxvLly1FQUIDx48dj7ty5qKurO+v3HT16FEuWLMFFF13k8H2S8+l1AsYn27ZMCiualQ3Gw0hbUqNig+Gj5wFHrRAEQR5PwiPhziWKIgrsxcSst6GBOPxKuXLlSuTm5gIAHnvsMcyaNQtr165FWloa/vGPfzgcwMqVK3HHHXfg1ltvxZgxY7B69WoEBATgtddeO+P3WCwW3HzzzXjssccwfPhwh++TXCMnOQwA626cbV8li4m1iv1uXKOyuRMnWrth0AnITmQdGp3OodNSFosFx48fx7hx4wDYtqhWr1495Dvv6enBzp07sXTpUvkynU6H2bNnY8uWLWf8vscffxwxMTG4/fbb8f3335/1Prq7u9Hd3S1/3tLCSb2uMsFed8OVG+eSi4n5Iq450qpCwbEmiKLI2hAnKTipeZ+fD5v30ekcWrnR6/WYM2cOmpqc8y6kvr4eFosFsbGx/S6PjY1FTU3NgN/zww8/4B//+AdeeeWVQd3HihUrEBoaKn8kJyefd9w0sBz73vfhujaYOtnMzxlEUeTATA3LSgyBr0GHhvYeHG3oUDocjyHX29hXi4lO5fC2VFZWFkpLS10Ryzm1trbiF7/4BV555RVERUUN6nuWLl0Kk8kkf1RUVLg4Su8VFWREcoRtGvKe483KBuMhKps7Ud9mW34fE8/kRmuMBj3G2VfcuDXlPKy3oXNxOLl58sknsWTJEnz22Weorq5GS0tLvw9HREVFQa/Xo7a2tt/ltbW1iIuLO+36JSUlOHr0KObPnw+DwQCDwYA333wTn3zyCQwGQ7+TWxKj0YiQkJB+H+Q68taU/cWHzo+0xZcZH8zld42alCbV3TQqHIln6DJbcMDe1FJ6vSE61aCTm8cffxzt7e244oorsHv3blx11VVISkpCeHg4wsPDERYWhvBwx55ovr6+mDRpEjZs2CBfZrVasWHDBuTl5Z12/czMTOzduxeFhYXyx1VXXYVLLrkEhYWF3HJSAelY5i7W3TjFbvvjmMPld82alMKiYmfaX2WC2SIiKshXXikmOtWgC4ofe+wx3HXXXfj222+dGsDixYtxyy23YPLkyZg6dSpeeOEFtLe349ZbbwUALFy4EImJiVixYgX8/PyQlZXV7/vDwsIA4LTLSRnSH+HCimYWUDpBoZzc8B2qVklbJ4dqbbVoof4+CkekbdI8qZxkNu+jMxt0ciOKIgBgxowZTg1gwYIFOHHiBJYtW4aamhrk5ORg3bp1cpFxeXk5dDr29tCKMQkh8NXr0Njeg/LGDqRGBiodkmaZLVa5+RtXbrQrKuiUwbKjOHvtfMidiVPDlA2EVM2ho+CuypIXLVqERYsWDfi1jRs3nvV716xZ4/yAaMiMBj3GJISgsKIZu8qbmdych+KaVnSZrQj2M2B4FB9HLZuYYhssW3CMyc35kieBczWTzsKhJZGMjAxERESc9YNIqrthv5vzIz1+45PCoNNx+V3L2MzPOWpbulBt6oJOAMYlse8TnZlDKzePPfYYQkP5hKKzm5ASjtd/PMpOxeeJxcSeQ5oQXljRDLPFyjEaQ7TnuG2bdmRMMAKNDv35Ii/j0LPjZz/7GWJiuKRKZyc11jpQ3YIus4VHmIeokMmNx0iPDkJYgA+aO8zYW2nCxBRuqQyFVIOWxW7ddA6DfvvAqnQarKRwf0QF+cJs6euuS45p7TLjyAnbdPUcTj3WPJ1OwAXDIgEAW0oaFI5Gu6Q5a9ySonMZdHIjnZYiOhdBEOSjy9yaGpo9x00QRSlRNCodDjnBtHRbcrO5pF7hSLRJFEV5W4orN3Qug05urFYrt6Ro0FhUfH64JeV5po2wJTc7jjahu9eicDTaU9vSjfq2bugEcBQJnROr2sglpLqbXRzDMCRMbjzPiOggRAcb0d1r5e/FEEj1NhmxwfD3ZR0fnR2TG3KJcclhEATb4Me61i6lw9EUURSZ3HggQRCQN1zammLdjaP22ofxckuKBoPJDblEkNGAEdFBAIADLCp2SJWpCydabZPA+ULuWaStqa1Mbhwmrdxk83eCBoHJDblMZlwwAOBgTavCkWiLNFGdk8A9T549udlV0YSOnl6Fo9EOURSxt9L2JimbJ6VoEJjckMuMthf9Hazmyo0jCitsJ8y4JeV5UiICkBjmD7NFxI6jPEk4WDUtXahv64ZeJ7CYmAaFyQ25DFduhoaTwD2XIAjy6s2WUm5NDdZeuTNxEFczaVCY3JDLZNrfYR2pa0NPr1XhaLShl5PAPR6Lih23j/U25CAmN+QyCaF+CPYzoNcqorS+TelwNKG4lpPAPZ20crP3eDNauswKR6MNe6TkhvU2NEhMbshlBEHo25qq5tbUYHASuOdLCPPHsKhAWEVge1mj0uGoniiK8soNTw/SYDG5IZfKjLNtTRXVsKh4MKRJ4OOT+SLuyS7g1tSg2YqJe1hMTA5hckMulRnPlRtH7K6Q6m1YTOzJpH43TG7ObQ+LiWkImNyQS0krNwe5cnNObd29OFRnSwK5cuPZpJWbouoWNLX3KByNurGYmIaCyQ251Ch7zU1tSzdfxM9hX6VtEnhimD9igv2UDodcKDrYiIxYWwfvrTwSflbS6cFxLCYmBzC5IZcKMhqQHOEPgP1uzqWQ9TZeZdqIKABMbs5GFEW5xw2LickRTG7I5bg1NTi7TzopRZ5vQkoYgL5jznS6alMXGtp7YNAJcsdzosFgckMuN5rHwQel76RUmKJxkHtIKxFF1S3otbDJ5UCkLamRsZyzRo5hckMuN4orN+dU19KFKlMXdAILJ73FsMhABBkN6DJbceQEm1wORNqSyk7kqg05hskNuZx0HPxQbRssVlHhaNRpt3zcNRiBRoPC0ZA76HQCxiTY/mhLf8Spv93HmwEA2dyqJQcxuSGXS4sMhNGgQ6fZgvLGDqXDUSVpEjiLib2LtEq3v4qrmqeyWkW5yH4Ct2rJQUxuyOX0OkE+En6wmi/iA2HzPu8kJTd7WVR8mtL6drR29cLPRye/fhANFpMbcotRsbYXpyIeBz+N1SrKy+9cufEuWfZakgNVLdyyPYW0apOdGAofPf9UkWP4jCG3yLQf4+TKzenKGvreoWbE8h2qNxkWFYQAXz06zRaUsKi4n13ltq3aHG5J0RAwuSG3kI6DF9dy5eZU0hHwrAS+Q/U2ep2AsSwqHpBcb5PCrVpyHF9JyS2kPfNjDR1o7+5VOBp1YX8b75bFupvTdPZY5I7mXLmhoWByQ24RGWREdLARAFdvTlXI5MarSUXF+5jcyPZVmWCxiogJNiI+lHPWyHFMbshtMtmp+DTdvRYcsNch5bCXh1c6+Tg4i4ptTq63EQRB4WhIi5jckNtIs2HYqbhPUXUrzBYREYG+8oBR8i7Do/uKiktZVAyA9TZ0/pjckNtIKzdFPDEl6xuWGcp3qF5KrxMwxp7476vi1hQAFJY3A2C9DQ0dkxtym7EJtuX3A1UtsHL5HQCLiclGLio+zsS/9qQ5a+OS2PeJhobJDbnNiGjbGIb2HgvKGtqVDkcVWExMQF9yw6JiYJd91SYjlnPWaOiY3JDbGPQ6ue6GL+JAc0cPSuttSd54FhN7tb6iYpPXr2r21duEKRoHaRuTG3IrDgrss/OY7UTI8OhARAT6KhwNKWlEdCD8fGyrmlLC663YmZicgckNuZU0S4crN8D2o7YX8SmpEQpHQkoz6HV9RcVe/LthsYpyM0MOkaXzweSG3EoqKt5XaYIoevfy+46jjQCAyWl8ESdOCAeAQ7Wt6OixIMhoQHpMkNLhkIYxuSG3yogNhq9eh5auXlQ0diodjmK6zBbssc8SmpLGlRviGAagr95mXFIo9Dq2RqChY3JDbuVr0Mlzpry5p8feShN6LFZEBRmRGhmgdDikAlJy482tElhvQ87C5IbcjnU3wHb7ltSUtHA27yMAwMiYIBgNOrR193ptqwR2JiZnYXJDbifX3Xjxiakd9mLiydySIjuDXodMe1GxN54mbO0y43CdbfwEV27ofDG5IbeTlt/3e2lRsdUqysXEU1hMTCfJSpCSG+9b1dxdYYIoAolh/ogONiodDmkckxtyu8y4YOh1Ahrae1Bt6lI6HLc7XNeGlq5eBPjq5eO/RED/ESXeRur7xNOD5AxMbsjt/Hz0GGk/5umNdTdSvc2ElDAY9PwVpD5jE/q2pbxtVXPHMdvvxaRUJjd0/vjKSoqQZ+l44TtUub8Nm/fRKUbZVzUbvWxV02IV5UngTG7IGZjckCLk2gKvXLmxdyZmMTGd4uRVTW8qKj5U24rW7l4E+uoxKjZY6XDIAzC5IUVkJ0krN96V3FQ1d6KyuRN6nYAcDgakAYzxwqJiqd5mQko4t2rJKfgsIkWMjg+BIAC1Ld2oa/We5fcd9hfxMfEhCDIaFI6G1ChLHlHiPSs3UnIzkVtS5CRMbkgRAb4GjIi2L7970Ys450nRuUhFxQe8cOWG9TbkLExuSDFS3Y03nZhivQ2di7QtVWXqQmN7j8LRuF5daxfKGzsgCLYThETOwOSGFNN3Yso7kpuWLjMO1thWqSbzHSqdQbCfD9Ls88a8oe6mwL5qMyo2GCF+PgpHQ56CyQ0pRk5uvGRbquBYE0QRSI0MQEyIn9LhkIpJzfy84cSUNIqEW1LkTExuSDHS8ntlcyeavGD5fTv729AgjUnwnhlTO8uZ3JDzMbkhxYSctPy++3izssG4wbZSW3IzdRhfxOnsTp6/5sm6zBa55o5JPzkTkxtS1NRhthe0Hw7XKxyJa3X09MoJXN7wKGWDIdWTTkyVNbSjvbtX4WhcZ2+lCWaLiKggI5Ij/JUOhzwIkxtS1IyMGADApkMnFI7EtQqONcNsEZEQ6scXcTqnqCAjYkOMEEWgqNpzt6b6joCHQRAEhaMhT6KK5GbVqlVIS0uDn58fcnNzkZ+ff8brvvLKK7jooosQHh6O8PBwzJ49+6zXJ3W7MD0KOsE2KbuyuVPpcFxma2kDAOCC4ZF8EadByfKComKpmJhbUuRsiic3a9euxeLFi7F8+XIUFBRg/PjxmDt3Lurq6ga8/saNG3HjjTfi22+/xZYtW5CcnIw5c+agsrLSzZGTM4QG+GBCiq0G5TsPXr05ObkhGoyxHt4HShRFFJSzMzG5huLJzcqVK3HHHXfg1ltvxZgxY7B69WoEBATgtddeG/D6b731Fn79618jJycHmZmZePXVV2G1WrFhw4YBr9/d3Y2WlpZ+H6QuMzKiAQCbij0zuTm53obJDQ3W2ETPXrkpq29HY3sPfA06ZCWGKB0OeRhFk5uenh7s3LkTs2fPli/T6XSYPXs2tmzZMqjb6OjogNlsRkTEwMuaK1asQGhoqPyRnJzslNjJeaTk5scj9TBbrApH43yst6GhkFZuDte1orvXonA0zifV24xLDIXRoFc4GvI0iiY39fX1sFgsiI2N7Xd5bGwsampqBnUbDz/8MBISEvolSCdbunQpTCaT/FFRUXHecZNzZSeGIiLQF63dvdhV3qx0OE7HehsaisQwf4T6+8BsEXG4tk3pcJxOLibmnDVyAcW3pc7H008/jXfeeQcffvgh/PwG7vhqNBoREhLS74PURacTcNFI2/HoTYcGrrXSMtbb0FAIgiBv13jiGAapqeWkFCY35HyKJjdRUVHQ6/Wora3td3ltbS3i4uLO+r3PPfccnn76aXz99dcYN26cK8MkN7h4pL3uxsOKillvQ+dDGsPgaSNKGtq6UXKiHQCHyJJrKJrc+Pr6YtKkSf2KgaXi4Ly8vDN+35/+9Cc88cQTWLduHSZPnuyOUMnFLsqwrdzsq2xBfVu3wtE4D+tt6Hxk24uKpVNFnmKHfUtqZEwQwgN9FY6GPJHi21KLFy/GK6+8gjfeeANFRUW4++670d7ejltvvRUAsHDhQixdulS+/jPPPINHH30Ur732GtLS0lBTU4Oamhq0tXnenrQ3iQn2kwsovz/sOas38pbUCNbbkOOk1b4D1S0eNX9te5l9zhpXbchFFE9uFixYgOeeew7Lli1DTk4OCgsLsW7dOrnIuLy8HNXV1fL1X3rpJfT09OAnP/kJ4uPj5Y/nnntOqR+BnMQTj4Sz3obOR3SwERmxQRDFvueSJ9huX7nhnDVyFYPSAQDAokWLsGjRogG/tnHjxn6fHz161PUBkSJmZETjbxtL8N3helitInQ6ba909J8nxeSGhmbaiCgcqm3D5pIGzMuOVzqc89bR0ysPBGW9DbmK4is3RJKJqeEIMhrQ2N6DfR5wOkSqt0kM80dSOOttaGjyRtgS480lnjFcdld5M3qttjq0pPAApcMhD8XkhlTDR6/D9HTbC7knbE1J2wi5wyNYb0NDdsGwSOgEoOREO2pbupQO57zls96G3IDJDamKNCX822Lt97thvQ05Q2iAD7Lsp6Y8YfVmxzFbcjNlGJMbch0mN6Qql2Taiop3VTRr+l0q623ImeStqSPaLio2W6woONYMAJjKlRtyISY3pCrxof6YmBIGUQS+3Ft97m9QqZP727Dehs7XtBG2PlCbSxogiqLC0Qzd/qoWdJotCPX3wciYIKXDIQ/G5IZU58pxCQCAL/YObr6YGnGeFDnTlLRwGHQCKps7UdHYqXQ4Qyb3t0kN1/xpSFI3JjekOldk20ZvbD/WqNmtqW1lfcXEROcrwNeACSlhAIAfNVx3I82TYr0NuRqTG1IdrW9NdZkt2F1hO8qeO4z1NuQcJ29NaZEoivLYBfa3IVdjckOqpOWtqYLyJvRYrIgNMSI1kn08yDmm2YuKt5TUa7LupuREGxrbe2A06OSZWUSuwuSGVEnLW1PbSm1L76y3IWfKSQmDn48O9W09OFynvVl624/aVm1yksPga+CfHnItPsNIlbS8NSXX23BLipzIaNDL2zk/HtFe3Y1UTDyV9TbkBkxuSLW0uDXVZbagoLwZAIuJyfn6RjFor+4mXyomZr0NuQGTG1ItLW5N7a5oRk+vFVFBRgyPClQ6HPIwUlHx1tIGWKzaqbupNnXieFMndIJthhyRqzG5IdXS4tbUNvvSO+dJkStkJYQg2M+A1q5e7LF3wNaCH+2dlccmhCLIaFA4GvIGTG5I1bS2NSXV21zAugJyAYNeh4szbCNKvtynjd8JAPjmgC3WSzJjFI6EvAWTG1I1LW1N9fRasdPexyOX86TIReaPiwcAfLa7ClYNbE11mS347pCtAHrOmFiFoyFvweSGVO3kral1Kn+nureyGV1mKyICfTk3h1xm5qgYBPrqUWXqwq6KJqXDOafNJfXoNFsQH+qHsQkhSodDXoLJDanevCzbO9WvD6g7udlq72+TO4z1NuQ6fj56zBlrW9H8dLf6a9G+OVAHAJg9Opa/F+Q2TG5I9eaMtS1lby1tRHNHj8LRnJk0LDOX9TbkYv9j35r6fG+1qk9NWa0i1hfVAgBmc0uK3IjJDaleamQgMuOCYbGK2FBUp3Q4AzJbWG9D7nPRyGiE+BlworUb+fYTemq0p9KEE63dCDIacAH7PpEbMbkhTZCW4b/ar86tqX2VJnT0WBAW4INRscFKh0Meztegw+VZtt+Jz/ZUKRzNmUmnpGZkRMNo0CscDXkTJjekCXPtW1PfHT6Bzh6LwtGcTupvMyUtAjod6wrI9f7H3ibhy3016LVYFY5mYOvt9TaXcUuK3IzJDWnCmPgQJIX7o8tsxaZDJ5QO5zTSrB/W25C7TBsRiYhAXzS296hyHEN5QweKa1uh1wmYOSpa6XDIyzC5IU0QBAFzxtiW4dV2aqq1yywXE7NJGbmLQa/DPBVvTX1jLySemhaBsABfhaMhb8PkhjRD2praUFQHs4qW4TcdOgGzRcTw6ECMiGZ/G3IfaWtq3b4a9PSq53cC6Ku34SkpUgKTG9KMyWkRiAz0hanTrKoTIt8csL1DvWw0X8TJvaYOi0BMsBEtXb34/rB6tmubO3qw/ajt9CB/L0gJTG5IM/Q6AbPtL5RqOTVltljx7UEWTZIy9DoBV2TbxzHsUU9Dv2+L62CxihgVG4yUyAClwyEvxOSGNEVq6Pf1/lpVzNXZXtaIlq5eRAb6YkJKuNLhkBeaP962NfXV/hq0d/cqHI2NvJrJhJ8UwuSGNGV6ehQCffWoaenC3kqT0uHga/uL+KWZMdDzCDgpYGJKGIZFBaKjx6KK+WuVzZ1ycjPX3p+KyN2Y3JCm+PnoMXOU7USS0ltTotjXWp7vUEkpgiDgugmJAID3C44rHA2wemMJzBYR00ZEIjspVOlwyEsxuSHNkbam1u2vgSgqtzV1sKYVx5s6YTTocNFI9vEg5Vw70ZbcbCltQGVzp2Jx1Ji6sHZ7BQDg3ktHKhYHEZMb0pxLMmPg56ND6Yl2FJQ3KRaHtPR+0cgo+PuytTwpJyk8AHnDIyGKwIcKrt78/bsS9FismJIWzllSpCgmN6Q5IX4+uDLbVkT59rYKxeLglhSpyfWTkgAA7xdUKrKieaK1G29vKwcA3DdrJASBNWikHCY3pEk35aYAsHVmNXWY3X7/NaYu7DlugiAAl2YyuSHlzcuKQ4CvHmX17Sgob3b7/b/6fSm6e63ISQ7DhelRbr9/opMxuSFNmpgShsy4YHT3WvHhLvcvw0ut5SckhyE62Oj2+yc6VaDRIE8Kd3dhcWN7D/659RgA4L5Z6Vy1IcUxuSFNEgQBN061rd68nV/u9mX49XIfDx51JfW4fqJta+qz3VXoMlvcdr//+KEUHT0WZCWG4JJRnK9GymNyQ5p1zYRE+PnocKi2za2FxW3dvdhin8LMehtSk7zhkUgI9UNLV69cE+Zqpg4z3thsW7W591LW2pA6MLkhzQr198F8++DAt+yFjO7wzy3H0GOx2gdlBrrtfonORacT5GPh7+90z9bUqz+Uoq27F5lxwZwjRarB5IY07UZ7YfHne6rdUljc0NaNv317BACw6BLWFpD6XGffmvrucD3qWrtcel8Nbd147YcyAMADs0dCxy7dpBJMbkjTJiT3FRZ/4IbC4hc3HEZrdy+yEkNwTU6iy++PyFEjooMwMSUMFquINT8edel9vbSxBO09FmQnhnLUAqkKkxvSNEEQcLN99ebtba4tLC450SZvfz1yxRi+SyXVumvGCADA6z8eddnqTY2pC2/aT0g9NCeDq5ikKkxuSPOunpAIfx89Dte1Yccx1xUWr/jiICxWEbNHxyJvRKTL7ofofF02JhY5yWHoNFvwt29LXHIf//ffw+jptXUjnpHB8SOkLkxuSPNC/Hxw1XhbYfHKrw+5ZPVmS0kD1hfVQq8T8Lt5mU6/fSJnEgQBv507CgDw1rZjqGjscOrtVzR2yDOklswZxVUbUh0mN+QRFl2aDqNBhy2lDfh8b7VTb9tqFfHUFwcAADfnpiA9Jsipt0/kCtPSozA9PRJmi4gXNxx26m2/sP4weq0iLhoZhdzhXMUk9WFyQx4hOSIAd8+01Rk89XkR2rt7nXbbHxVWYl9lC4KNBtw/i5OOSTt+M9e2yvhBwXEcqWt1ym0eqWuVu4IvmTPKKbdJ5GxMbshj3DVjBJLC/VFt6sIq+3Ht83Wkrg3/+8l+AMCvL0lHZBBHLZB25CSHYc6YWFhF4PmvDznlNv/8zWFYRWDOmFiMTw5zym0SORuTG/IYfj56LPufMQCAV74vRemJtvO6vfq2bty6Jh8tXb2YmBKG2y5Mc0KURO61ZO4oCALw5b4a7DnefF63lV/WiM/3VkMQgMVzMpwTIJELMLkhj3LZmFjMyIiG2SLisU8PDLm4uMtswR1v7kBFYydSIgLwysLJMBr0To6WyPUyYoNxrb0n05OfF8FssQ7pdnotViz7eB8A4GdTUpAZF+K0GImcjckNeRRBELB8/hj46AVsOnQC64vqHL4Nq1XEg2sLsau8GaH+Pnj91incjiJNe/CyDPj56JBf1ogl7+2G1ep40v92fjkO1rQi1N8Hv5nLWhtSNyY35HGGRwfhjouGAwD+95P9aGjrduj7n1l3EF/uq4GvXoeXfzEJI6J5Ooq0LTkiAC/dPAkGnYCPC6uw7JN9Dq1qNrb3yDU7S+ZkICLQ11WhEjkFkxvySIsuTUdSuD8qmztxy+v5aO0a3NypVd8ewd+/KwUA/Okn43jMlTzGJZkxWLkgB4IA/GtrOZ77unjQ3/vsV8UwdZoxJj4EN+WmujBKIudgckMeKcDXgDdum4rIQF/sq2zB7W/sQJfZcsbri6KIZ9YdxLNf2V7wf3v5KFwzgbOjyLNcNT4BT12TDQBY9W0J/r7p3N2L9xxvxjvbbWNHHrt6LPQcO0IawOSGPNaI6CC8cdtUBBsNyC9rxD1vFQxYTGm12oqPX9poe6F/5IrR+PXMdHeHS+QWN+Wm4OHLbf1vVnx5EI9/egAdPQP3hbJaRSz/ZD9EEbgmJwFT0iLcGSrRkDG5IY+WlRiKV2+ZDKNBhw0H6/Cb93ajvbtXrjewWEU8/P4erNl8FIIAPHVtFu64eLjCURO51t0zR2DRJbYE/rUfyzDnz9/hu0Mn5K+LoogfDtfjV2/uwK7yZgT66rH0itFKhUvkMEF05RhlFWppaUFoaChMJhNCQniU0Vv892At7nxzJ3rtp0QEAQjw0cOg18HUaYZeJ+C5G8bh2glJCkdK5D7fFtfhDx/uQ2VzJwDguomJyE4MxT+3HkPpiXb5ek9dm4WbWWtDCnPk7zeTG/Ian+6uwiMf7kVLV/8leF+9Dn+5MQeXZ8UrFBmRctq7e/Hc18VYs/koTv5rEGQ04CeTkvDzC1I5T41UgcnNWTC58W5Wq4iuXgvauy3o6OlFe7cFcaF+PNpKXm9XeROWfbwfZosVN+em4NqJSQgyGpQOi0jG5OYsmNwQERFpjyN/v1VRULxq1SqkpaXBz88Pubm5yM/PP+v133vvPWRmZsLPzw/Z2dn44osv3BQpERERqZ3iyc3atWuxePFiLF++HAUFBRg/fjzmzp2LurqB2+Zv3rwZN954I26//Xbs2rUL11xzDa655hrs27fPzZETERGRGim+LZWbm4spU6bgr3/9KwDAarUiOTkZ9957L373u9+ddv0FCxagvb0dn332mXzZBRdcgJycHKxevfqc98dtKSIiIu3RzLZUT08Pdu7cidmzZ8uX6XQ6zJ49G1u2bBnwe7Zs2dLv+gAwd+7cM16/u7sbLS0t/T6IiIjIcyma3NTX18NisSA2Nrbf5bGxsaipqRnwe2pqahy6/ooVKxAaGip/JCcnOyd4IiIiUiXFa25cbenSpTCZTPJHRUWF0iERERGRCynaxCAqKgp6vR61tbX9Lq+trUVcXNyA3xMXF+fQ9Y1GI4xGo3MCJiIiItVTdOXG19cXkyZNwoYNG+TLrFYrNmzYgLy8vAG/Jy8vr9/1AeCbb7454/WJiIjIuyjefnLx4sW45ZZbMHnyZEydOhUvvPAC2tvbceuttwIAFi5ciMTERKxYsQIAcP/992PGjBl4/vnnceWVV+Kdd97Bjh078PLLLyv5YxAREZFKKJ7cLFiwACdOnMCyZctQU1ODnJwcrFu3Ti4aLi8vh07Xt8A0bdo0vP322/jDH/6A3//+9xg5ciQ++ugjZGVlKfUjEBERkYoo3ufG3djnhoiISHs00+eGiIiIyNmY3BAREZFHYXJDREREHkXxgmJ3k0qMOIaBiIhIO6S/24MpFfa65Ka1tRUAOIaBiIhIg1pbWxEaGnrW63jdaSmr1YqqqioEBwdDEITTvt7S0oLk5GRUVFTwNNU58LEaPD5Wg8fHavD4WDmGj9fgqfGxEkURra2tSEhI6NciZiBet3Kj0+mQlJR0zuuFhISo5j9U7fhYDR4fq8HjYzV4fKwcw8dr8NT2WJ1rxUbCgmIiIiLyKExuiIiIyKMwuTmF0WjE8uXLOUl8EPhYDR4fq8HjYzV4fKwcw8dr8LT+WHldQTERERF5Nq7cEBERkUdhckNEREQehckNEREReRQmN0RERORRmNwA+N///V8IgtDvIzMzU+mwVOO7777D/PnzkZCQAEEQ8NFHH/X7uiiKWLZsGeLj4+Hv74/Zs2fj8OHDygSrsHM9Vr/85S9Pe65dfvnlygSroBUrVmDKlCkIDg5GTEwMrrnmGhQXF/e7TldXF+655x5ERkYiKCgI119/PWpraxWKWFmDebxmzpx52nPrrrvuUihi5bz00ksYN26c3HwuLy8PX375pfx1Pq/6nOux0vJzismN3dixY1FdXS1//PDDD0qHpBrt7e0YP348Vq1aNeDX//SnP+Evf/kLVq9ejW3btiEwMBBz585FV1eXmyNV3rkeKwC4/PLL+z3X/v3vf7sxQnXYtGkT7rnnHmzduhXffPMNzGYz5syZg/b2dvk6Dz74ID799FO899572LRpE6qqqnDdddcpGLVyBvN4AcAdd9zR77n1pz/9SaGIlZOUlISnn34aO3fuxI4dO3DppZfi6quvxv79+wHweXWycz1WgIafUyKJy5cvF8ePH690GJoAQPzwww/lz61WqxgXFyc+++yz8mXNzc2i0WgU//3vfysQoXqc+liJoijecsst4tVXX61IPGpWV1cnAhA3bdokiqLtOeTj4yO+99578nWKiopEAOKWLVuUClM1Tn28RFEUZ8yYId5///3KBaVi4eHh4quvvsrn1SBIj5Uoavs5xZUbu8OHDyMhIQHDhw/HzTffjPLycqVD0oSysjLU1NRg9uzZ8mWhoaHIzc3Fli1bFIxMvTZu3IiYmBiMGjUKd999NxoaGpQOSXEmkwkAEBERAQDYuXMnzGZzv+dVZmYmUlJS+LzC6Y+X5K233kJUVBSysrKwdOlSdHR0KBGealgsFrzzzjtob29HXl4en1dncepjJdHqc8rrBmcOJDc3F2vWrMGoUaNQXV2Nxx57DBdddBH27duH4OBgpcNTtZqaGgBAbGxsv8tjY2Plr1Gfyy+/HNdddx2GDRuGkpIS/P73v8e8efOwZcsW6PV6pcNThNVqxQMPPIDp06cjKysLgO155evri7CwsH7X5fNq4McLAG666SakpqYiISEBe/bswcMPP4zi4mJ88MEHCkarjL179yIvLw9dXV0ICgrChx9+iDFjxqCwsJDPq1Oc6bECtP2cYnIDYN68efK/x40bh9zcXKSmpuLdd9/F7bffrmBk5Gl+9rOfyf/Ozs7GuHHjMGLECGzcuBGzZs1SMDLl3HPPPdi3bx/r3AbpTI/XnXfeKf87Ozsb8fHxmDVrFkpKSjBixAh3h6moUaNGobCwECaTCf/5z39wyy23YNOmTUqHpUpneqzGjBmj6ecUt6UGEBYWhoyMDBw5ckTpUFQvLi4OAE47bVBbWyt/jc5s+PDhiIqK8trn2qJFi/DZZ5/h22+/RVJSknx5XFwcenp60Nzc3O/63v68OtPjNZDc3FwA8Mrnlq+vL9LT0zFp0iSsWLEC48ePx4svvsjn1QDO9FgNREvPKSY3A2hra0NJSQni4+OVDkX1hg0bhri4OGzYsEG+rKWlBdu2beu3b0sDO378OBoaGrzuuSaKIhYtWoQPP/wQ//3vfzFs2LB+X580aRJ8fHz6Pa+Ki4tRXl7ulc+rcz1eAyksLAQAr3tuDcRqtaK7u5vPq0GQHquBaOk5xW0pAEuWLMH8+fORmpqKqqoqLF++HHq9HjfeeKPSoalCW1tbv0y9rKwMhYWFiIiIQEpKCh544AE8+eSTGDlyJIYNG4ZHH30UCQkJuOaaa5QLWiFne6wiIiLw2GOP4frrr0dcXBxKSkrw29/+Funp6Zg7d66CUbvfPffcg7fffhsff/wxgoOD5XqH0NBQ+Pv7IzQ0FLfffjsWL16MiIgIhISE4N5770VeXh4uuOAChaN3v3M9XiUlJXj77bdxxRVXIDIyEnv27MGDDz6Iiy++GOPGjVM4evdaunQp5s2bh5SUFLS2tuLtt9/Gxo0b8dVXX/F5dYqzPVaaf04pfVxLDRYsWCDGx8eLvr6+YmJiorhgwQLxyJEjSoelGt9++60I4LSPW265RRRF23HwRx99VIyNjRWNRqM4a9Yssbi4WNmgFXK2x6qjo0OcM2eOGB0dLfr4+IipqaniHXfcIdbU1CgdttsN9BgBEF9//XX5Op2dneKvf/1rMTw8XAwICBCvvfZasbq6WrmgFXSux6u8vFy8+OKLxYiICNFoNIrp6enib37zG9FkMikbuAJuu+02MTU1VfT19RWjo6PFWbNmiV9//bX8dT6v+pztsdL6c0oQRVF0ZzJFRERE5EqsuSEiIiKPwuSGiIiIPAqTGyIiIvIoTG6IiIjIozC5ISIiIo/C5IaIiIg8CpMbIiIi8ihMboiIiMijMLkhokFJS0vDCy+8IH8uCAI++ugjxeI5Xxs3boQgCKcNUXS2mTNn4oEHHnDpfQyWu35mIqUxuSFSsZqaGtx7770YPnw4jEYjkpOTMX/+/H6D/5RSXV2NefPmKR3GkE2bNg3V1dUIDQ1VOhSXUFNSReRuHJxJpFJHjx7F9OnTERYWhmeffRbZ2dkwm8346quvcM899+DgwYOKxhcXF6fI/ZrNZvj4+Jz37fj6+ir2MxCRa3Hlhkilfv3rX0MQBOTn5+P6669HRkYGxo4di8WLF2Pr1q3y9crLy3H11VcjKCgIISEh+OlPf4ra2lr567/85S9Pm9D+wAMPYObMmfLnM2fOxKJFi7Bo0SKEhoYiKioKjz76KM42eu7kbamjR49CEAR88MEHuOSSSxAQEIDx48djy5Yt/b7nlVdeQXJyMgICAnDttddi5cqVCAsLO+N9SLe7du1azJgxA35+fnjrrbcAAK+++ipGjx4NPz8/ZGZm4m9/+1u/7928eTNycnLg5+eHyZMn46OPPoIgCCgsLAQw8BbN+++/j7Fjx8JoNCItLQ3PP/98v9tMS0vDH//4R9x2220IDg5GSkoKXn755TPGP5Du7m4sWbIEiYmJCAwMRG5uLjZu3Ch/fc2aNQgLC8NXX32F0aNHIygoCJdffjmqq6vl6/T29uK+++5DWFgYIiMj8fDDD+OWW26R/59/+ctfYtOmTXjxxRchCAIEQcDRo0fl79+5cycmT56MgIAATJs2DcXFxQ79DESqp/DgTiIaQENDgygIgvjHP/7xrNezWCxiTk6OeOGFF4o7duwQt27dKk6aNEmcMWOGfJ1bbrlFvPrqq/t93/3339/vOjNmzBCDgoLE+++/Xzx48KD4r3/9SwwICBBffvll+Tqpqanin//8Z/lzAOKHH34oiqIolpWViQDEzMxM8bPPPhOLi4vFn/zkJ2JqaqpoNptFURTFH374QdTpdOKzzz4rFhcXi6tWrRIjIiLE0NDQM/580u2mpaWJ77//vlhaWipWVVWJ//rXv8T4+Hj5svfff1+MiIgQ16xZI4qiKJpMJjEiIkL8+c9/Lu7fv1/84osvxIyMDBGAuGvXLlEU+ya4NzU1iaIoijt27BB1Op34+OOPi8XFxeLrr78u+vv795tUnpqaKkZERIirVq0SDx8+LK5YsULU6XTiwYMHz/gzzJgxQ7z//vvlz3/1q1+J06ZNE7/77jvxyJEj4rPPPisajUbx0KFDoiiK4uuvvy76+PiIs2fPFrdv3y7u3LlTHD16tHjTTTfJt/Hkk0+KERER4gcffCAWFRWJd911lxgSEiL/Pzc3N4t5eXniHXfcIVZXV4vV1dVib2+v/DPn5uaKGzduFPfv3y9edNFF4rRp084YP5EWMbkhUqFt27aJAMQPPvjgrNf7+uuvRb1eL5aXl8uX7d+/XwQg5ufni6I4+ORm9OjRotVqlS97+OGHxdGjR8ufDya5efXVV0+Lo6ioSBRFUVywYIF45ZVX9ovj5ptvHlRy88ILL/S7fMSIEeLbb7/d77InnnhCzMvLE0VRFF966SUxMjJS7OzslL/+yiuvnDW5uemmm8TLLrus323+5je/EceMGdPvMfj5z38uf261WsWYmBjxpZdeOuPPcHJyc+zYMVGv14uVlZX9rjNr1ixx6dKloijakhsA4pEjR+Svr1q1SoyNjZU/j42NFZ999ln5897eXjElJaXf//OpSdXJP/P69evlyz7//HMRQL/HikjruC1FpELiWbaDTlZUVITk5GQkJyfLl40ZMwZhYWEoKipy6D4vuOACCIIgf56Xl4fDhw/DYrEM+jbGjRsn/zs+Ph4AUFdXBwAoLi7G1KlT+13/1M/PZPLkyfK/29vbUVJSgttvvx1BQUHyx5NPPomSkhL5vsaNGwc/P79B31dRURGmT5/e77Lp06ef9hic/DMKgoC4uDj5ZzyXvXv3wmKxICMjo1/smzZtkmMHgICAAIwYMUL+PD4+Xr4Pk8mE2trafj+PXq/HpEmTBhXDqT/Dqf9PRJ6ABcVEKjRy5EgIguCUomGdTndasmQ2m8/7dgdycqGvlChZrdbzvt3AwED5321tbQBs9Tu5ubn9rqfX68/7vs7l1GJmQRAG/TO2tbVBr9dj586dp8UaFBR01vsYbMI7GK76fyJSC67cEKlQREQE5s6di1WrVqG9vf20r0tFsKNHj0ZFRQUqKirkrx04cADNzc0YM2YMACA6OrpfMSoAuaj2ZNu2bev3+datWzFy5EinJQyjRo3C9u3b+1126ueDERsbi4SEBJSWliI9Pb3fx7Bhw+T72rt3L7q7uwd9X6NHj8aPP/7Y77Iff/wRGRkZTnsMJkyYAIvFgrq6utNiH+zJrdDQUMTGxvb7eSwWCwoKCvpdz9fX16FVNyJPwuSGSKVWrVoFi8WCqVOn4v3338fhw4dRVFSEv/zlL8jLywMAzJ49G9nZ2bj55ptRUFCA/Px8LFy4EDNmzJC3ci699FLs2LEDb775Jg4fPozly5dj3759p91feXk5Fi9ejOLiYvz73//G//3f/+H+++932s9z77334osvvsDKlStx+PBh/P3vf8eXX37ZbytssB577DGsWLECf/nLX3Do0CHs3bsXr7/+OlauXAkAuOmmm2C1WnHnnXeiqKgIX331FZ577jkAOOP9PfTQQ9iwYQOeeOIJHDp0CG+88Qb++te/YsmSJUP/oU+RkZGBm2++GQsXLsQHH3yAsrIy5OfnY8WKFfj8888HfTv33nsvVqxYgY8//hjFxcW4//770dTU1O9nS0tLw7Zt23D06FHU19dzZYa8CpMbIpUaPnw4CgoKcMkll+Chhx5CVlYWLrvsMmzYsAEvvfQSANsf6o8//hjh4eG4+OKLMXv2bAwfPhxr166Vb2fu3Ll49NFH8dvf/hZTpkxBa2srFi5ceNr9LVy4EJ2dnZg6dSruuece3H///bjzzjud9vNMnz4dq1evxsqVKzF+/HisW7cODz74YL+6mMH61a9+hVdffRWvv/46srOzMWPGDKxZs0ZeuQkJCcGnn36KwsJC5OTk4JFHHsGyZcsA4Iz3N3HiRLz77rt45513kJWVhWXLluHxxx/HL3/5yyH/zAN5/fXXsXDhQjz00EMYNWoUrrnmGmzfvh0pKSmDvo2HH34YN954IxYuXIi8vDwEBQVh7ty5/X62JUuWQK/XY8yYMYiOjkZ5eblTfw4iNRNEZ27kEpEmzZw5Ezk5Of3GK7jDHXfcgYMHD+L77793+X299dZbuPXWW2EymeDv7+/y+3Mnq9WK0aNH46c//SmeeOIJpcMhUhwLionIbZ577jlcdtllCAwMxJdffok33njjtOZ7zvLmm29i+PDhSExMxO7du/Hwww/jpz/9qUckNseOHcPXX3+NGTNmoLu7G3/9619RVlaGm266SenQiFSByQ0RuU1+fj7+9Kc/obW1FcOHD8df/vIX/OpXv3LJfdXU1GDZsmWoqalBfHw8brjhBjz11FMuuS930+l0WLNmDZYsWQJRFJGVlYX169dj9OjRSodGpArcliIiIiKPwoJiIiIi8ihMboiIiMijMLkhIiIij8LkhoiIiDwKkxsiIiLyKExuiIiIyKMwuSEiIiKPwuSGiIiIPMr/Bzs/aT9pr+EJAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "transmission = eme_sim_data.smatrix.S21.isel(mode_index_in=0, mode_index_out=0, f=0).abs**2\n",
    "plt.plot(lengths, transmission)\n",
    "plt.xlabel('Coupling region length')\n",
    "plt.ylabel('Transmission')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d54e755b-07c9-42ef-8384-d549ed34d584",
   "metadata": {},
   "source": [
    "## Taper Edge Coupler\n",
    "\n",
    "Next, we look at a taper edge coupler. Using the Tidy3D EME solver, we are able to simulate long tapers and perform length sweeps. See also this [notebook](https://www.flexcompute.com/tidy3d/examples/notebooks/EdgeCoupler/) where this taper and some variants are optimized using FDTD. The function to create the taper geometry is based on the work of [G. Ren et al. (2013)](https://www.sciencedirect.com/science/article/abs/pii/S0030401811006389)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fb96ff46-c43a-4668-985c-7247da930c60",
   "metadata": {},
   "source": [
    "### EME Simulation Setup\n",
    "\n",
    "First, we define the materials and geometries."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2818c87c-3a74-4a11-9574-cb6ec70b8cd6",
   "metadata": {},
   "outputs": [],
   "source": [
    "wl_c = 1.55  # Central wavelength.\n",
    "freq0 = td.C_0 / wl_c\n",
    "\n",
    "mat_si = td.Medium(permittivity=3.48**2)  # Taper and substrate material.\n",
    "mat_sio2 = td.Medium(permittivity=1.44**2)  # Box and cladding material.\n",
    "mat_air = td.Medium(permittivity=1.00)  # External medium material.\n",
    "\n",
    "taper_l = 5  # Taper length.\n",
    "taper_w_in = 0.19  # Taper tip width.\n",
    "taper_w_out = 0.50  # Taper output width.\n",
    "taper_t = 0.22  # Taper thickness.\n",
    "\n",
    "box_thick = 3.0  # Silicon dioxide box layer.\n",
    "clad_thick = 3.0  # Silicon dioxide layer covering the taper.\n",
    "\n",
    "# Extra space around the taper at x,y directions.\n",
    "pad_x = 1 * wl_c\n",
    "pad_y = 1.5 * wl_c\n",
    "\n",
    "# Large number to be used in replacement of td.inf when necessary.\n",
    "_inf = 1e3\n",
    "\n",
    "def get_taper(\n",
    "    taper_shape=\"linear\",\n",
    "    init_coord=[pad_x, taper_w_in / 2],\n",
    "    end_coord=[pad_x + taper_l, taper_w_out / 2],\n",
    "):\n",
    "    \"\"\"Return a polygon composed of the taper vertices given the desired shape.\"\"\"\n",
    "\n",
    "    x0 = init_coord[0]\n",
    "    x1 = end_coord[0]\n",
    "    y0 = init_coord[1]\n",
    "    y1 = end_coord[1]\n",
    "    x = np.linspace(x0, x1, 41)\n",
    "\n",
    "    tap_name = \"linear_tap\"\n",
    "    if taper_shape == \"quadratic\":\n",
    "        alpha = ((x - x0) / (x1 - x0)) ** 2\n",
    "        tap_name = \"quadratic_tap\"\n",
    "    elif taper_shape == \"exponential\":\n",
    "        alpha = np.expm1((x - x0) / (x1 - x0)) / np.expm1(1)\n",
    "        tap_name = \"exponential_tap\"\n",
    "    elif taper_shape == \"linear\":\n",
    "        alpha = (x - x0) / (x1 - x0)\n",
    "    else:\n",
    "        print(\n",
    "            \"taper_shape is neither 'linear', 'quadratic', or 'exponential'!\\n\"\n",
    "            + \"Linear taper shape returned!\"\n",
    "        )\n",
    "        alpha = (x - x0) / (x1 - x0)\n",
    "\n",
    "    y = y0 + alpha * (y1 - y0)\n",
    "    upper_bound = [[xv, yv] for xv, yv in zip(x, y)] + [[_inf, y1]]\n",
    "    lower_bound = [[_inf, -y1]] + [[xv, -yv] for xv, yv in zip(x[::-1], y[::-1])]\n",
    "    taper_polygon = upper_bound + lower_bound\n",
    "\n",
    "    # Inverted taper structure using a PolySlab.\n",
    "    taper = td.Structure(\n",
    "        geometry=td.PolySlab(\n",
    "            vertices=taper_polygon, axis=2, slab_bounds=(-taper_t / 2, taper_t / 2)\n",
    "        ),\n",
    "        medium=mat_si,\n",
    "        name=tap_name,\n",
    "    )\n",
    "    return taper\n",
    "\n",
    "size_x = taper_l + 2 * pad_x\n",
    "size_y = taper_w_out + 2 * pad_y\n",
    "size_z = box_thick + clad_thick + taper_t\n",
    "\n",
    "# Silicon dioxide box + cladding layers\n",
    "sio2_medium = td.Structure(\n",
    "    geometry=td.Box.from_bounds(\n",
    "        rmin=(pad_x, -_inf, -_inf), rmax=(_inf, _inf, _inf)\n",
    "    ),\n",
    "    medium=mat_sio2,\n",
    ")\n",
    "\n",
    "# Simulation definition\n",
    "taper_poly = get_taper(\n",
    "    \"linear\",\n",
    "    init_coord=[pad_x, taper_w_in / 2],\n",
    "    end_coord=[size_x - pad_x, taper_w_out / 2],\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "62ae86bf-8241-43fd-aedc-81674b36285e",
   "metadata": {},
   "source": [
    "Now we define the `eme_grid_spec` and `EMESimulation`. We use an `EMEUniformGrid`. It is important to use enough cells that the device profile does not change much in between each pair of cells. It can be necessary to experiment with different EME grids in order to make sure enough cells are used.\n",
    "\n",
    "We set `store_port_modes=False` in the `EMESimulation` and `num_modes=1` in the `EMEFieldMonitor` to avoid downloading unnecessary data. We also add an `EMEModeSolverMonitor` and an `EMECoefficientMonitor` to help understand the simulation results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "279bfeb9-a7eb-4a25-a5e2-fb1ab6250a8c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "eme_num_modes = 30\n",
    "\n",
    "eme_grid_spec = td.EMEUniformGrid(\n",
    "    num_cells=40,\n",
    "    mode_spec=td.EMEModeSpec(num_modes=eme_num_modes)\n",
    ")\n",
    "\n",
    "eme_field_mon = td.EMEFieldMonitor(\n",
    "    name=\"field\", \n",
    "    size=(td.inf, td.inf, 0),\n",
    "    num_modes=1\n",
    ")\n",
    "\n",
    "eme_mode_mon = td.EMEModeSolverMonitor(\n",
    "    name=\"modes\", \n",
    "    size=(td.inf, td.inf, td.inf),\n",
    "    center=(pad_x, 0, 0),\n",
    "    num_modes=9,\n",
    "    eme_cell_interval_space=40\n",
    ")\n",
    "\n",
    "eme_coeff_mon = td.EMECoefficientMonitor(\n",
    "    name=\"coeffs\", \n",
    "    size=(td.inf, td.inf, td.inf),\n",
    ")\n",
    "\n",
    "lengths = np.linspace(1, 100, 30)\n",
    "\n",
    "eme_sim = td.EMESimulation(\n",
    "    center=(size_x / 2, 0, 0),\n",
    "    size=(size_x, size_y, size_z),\n",
    "    medium=mat_air,\n",
    "    grid_spec=td.GridSpec.auto(min_steps_per_wvl=15, wavelength=wl_c),\n",
    "    structures=[sio2_medium, taper_poly],\n",
    "    monitors=[eme_field_mon, eme_mode_mon, eme_coeff_mon],\n",
    "    symmetry=(0, -1, 1),\n",
    "    axis=0,\n",
    "    freqs=[freq0],\n",
    "    eme_grid_spec=eme_grid_spec,\n",
    "    port_offsets=(pad_x, pad_x),\n",
    "    store_port_modes=False,\n",
    "    sweep_spec=td.EMELengthSweep(scale_factors=list(lengths / taper_l))\n",
    ")\n",
    "\n",
    "eme_sim.plot(z=0, monitor_alpha=0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "ca490eb5-3858-40e0-96c5-6edaee072179",
   "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\">10:24:21 BST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'EME taper'</span> with task_id                              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'eme-4b397aa5-386e-45ba-9777-5d49703c3fb5'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'EME'</span>.    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:24:21 BST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'EME taper'\u001b[0m with task_id                              \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'eme-4b397aa5-386e-45ba-9777-5d49703c3fb5'\u001b[0m and task_type \u001b[32m'EME'\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>Tidy3D's EME solver is currently in the beta stage. Cost of EME    \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>simulations is subject to change in the future.                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTidy3D's EME solver is currently in the beta stage. Cost of EME    \n",
       "\u001b[2;36m             \u001b[0msimulations is subject to change in the future.                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5597a7988151473181fddf6a5a07cc1e",
       "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\">10:24:23 BST </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:24:23 BST\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": "",
       "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\">10:24:33 BST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.476</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>the billed FlexCredit cost after a simulation run.                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:24:33 BST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.476\u001b[0m. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get\n",
       "\u001b[2;36m             \u001b[0mthe billed FlexCredit cost after a simulation run.                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f40c8ee659784659ae5062b7ecdf6981",
       "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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "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\">10:27:11 BST </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:27:11 BST\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d74e4735b0ff42579d3e3f767b5ff5c5",
       "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\">10:27:43 BST </span>loading simulation from simulation_data.hdf5                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:27:43 BST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "eme_sim_data = web.run(eme_sim, task_name=\"EME taper\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "006c429a-83c1-4d2b-a21e-ff2694e0ec48",
   "metadata": {},
   "source": [
    "We can plot the field to check that the results are sensible. Note that the field is shown on the original structure (length 5 um), but the field monitor is recording at `sweep_index=0` (length 1 um). This is why the coupling efficiency appears so low in the field plot."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "fe95beb0-b20c-4c9c-b4c4-ed0a6fbfb562",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10, 8))\n",
    "eme_sim_data.plot_field(\"field\", \"Ey\", val=\"abs\", eme_port_index=0, mode_index=0, ax=ax)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "956be121-c7c5-4685-bbe1-d1498a321b7e",
   "metadata": {},
   "source": [
    "Now we plot the efficiency as a function of the taper length."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "5e222d47-5bfc-46b2-805b-05064f73374a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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c3XRBu4a/yUnU9fubFiEAwCkZhqGKKptKKqpUUmFVcUWVSiqrqn9WVKm0ZltFlYorq39aqgy1DA1QbJhZrcIDFRtuVquwQMWEmRXo79vgWgpKLfo1t1h7c0u0N7dEv+aWaO+h6udlFuspzwvy91X00WAUFWJ2CEnVjwBFhZoVE2pWqaXK3tLy88EC/XywUL8dKTvp+0YG++uchHCdHR+ucxIi1LlVqDILyrU7s1C7sgq1K7NI+/JKlFtcoW/2VOibPbn2c/19TeoUE6qzj2s5CjH7OQSe3VmFKrfYTvhcXx+TOsWE2D/37IRwdY0LU2WVTZkFx1pqDhaUKTP/aLgpKNehogpVVtm0P69U+/NK63zdwwL91DoySAmRQUo4GpyOfx0bHihJyi+1KL+0UkeO/swvtejI0dcFZZU6UlL9Or/Uovyy6u2VVTZZrMYZ/b04U7QInQYtQgCaI5vN0KHiCvttjowjx257ZOSXq6C08mjocW7fk4ggf3swanX0Z+zvfpZZrNqbW+wQdH7NLdHhWlpCfH1MatsyWG1aBKmovEq5xRXKLa44aZBoiNaRQTon4VjwOCchXPERgae9pVNaWaWUrCLtzirSrsxC7c6s/llUUVWnzw3y91W3+DD7554dXx16GhIcKqtsyi4st9/WOlhQpqyCch3ML1dJRVV1K1FkdStRQmR12ImPCFRYoH+9P6suDMNQmcWqI6UWhQf6Of1z6vr9TRA6DYIQgPqyWG3KK67UkaNhoriiSsXlR1tNKo61plQ/t6q43KKSCquKjm6v2Rfg56PwQH+FB/krPNBPEUE1z/0VHuTnsK9me0Rw9Ws/Hx9lFpQ5BJ2a2x0Z+WXKLCiTxVq/f/6D/H0VYvZTqLn6Z/Vzv2PbAqqf+/ualFtcqZyicuUUVij76M+KqjMPJbHhZnWIDlHHmFB1jA5Rh6OPxJbB8vd1vNVkGIZKK632UHSoqNL+PLe4QrlHX+eVVCq3qEJFFVXy9TGpc0xodUvP0cc58RGKCHbel7RhGMrIL9Ouo6Fo99HWo9LKKiXFhdsDzzkJ4WoXFSJfH/f1n2nKCEJOQhACmqaCUov25pWooMwis5+PAv19Fejvo0A/32PP/X1l9vOpU0fNKqtNeSWVOlRUoUPFFcotqlBucfXrY1+01T+PlJ6+X4Un8DFJceGBat2i5jZHdStA68ggtQwJOC7o+Co4wO+MvpANw1BhWZVyisqVXVjh8DPnd6/9fXzUMaYm5IQe9zzkjPv71KbcYpXJJJn93HebBs5DHyEAzV65xap9edW3T3492m+k5lHbbZTfcwhK/r5Hw5KPAvx8VFBmUe7R1p36/G+jr49JLYL9FWr2U2ign0IC/BQWeKwVJdTs+Dz0d/uCA3xlsdpUUGZRYXmVCsssKiy3qLCs6uhPy8n3lVnso3iCA3ztfTlatzgWcmr6dsSFB8rPt3FmUTGZTIoIrm6x6hIb1iifWV/u7KcC9yEIAfBoVVabMvLLHPqL1DwOFpTVGk5ahZkVFWpWRZVVFRabyi3W6keVzaHfS0WVTRVVNhWcvE+snY9Jijqug21MWHUH25iwYx1vq58HqEVwgHzcdEuj3GJVpdWmMLOfW4clA00BQQhAozAMQ0UVVSootdhHk+SXWVRgH11SPZKkoNSi/LLq/TXPa+usGxbod0J/kQ7RIWofHaLQWm6jWKw1waj6Z0XVsefHttkUHuRnDzotggOaRH+N6tYtWjeAuiAIAXAKwzB0uKRS+/JK9OuhkupbVrkl2ptbqpzC8tMGmtqY/XwcQs7xj5b1nCCuhr+vj/x9fRQW2KCSADQTBCEA9VJYbtG+3/XHqXldWH76IcFB/r6KDPZXRJC/w4yzEUEBR2ekrX5+/L6YULPbbjMBaN4IQgBOqtxi1c7MQu04kK+fDxZWB568EuUWn7oTsskkJUQEHb01FawO0aHqEB2shMgg+5T63LIB4EkIQgBksdr0S3aRdvxWoB2/5euHAwX6JbvolEsIRIea1fF3YadDdKjaRQUTdAA0KQQhwMvYbIZ+zS3WDwcK9GNGgX74LV87DxaedLK7qJAA9WwToR6tI9Q5NkwdoqrDj6tmmgWAxkYQApqxskqrfs0tVmpO9cKNO37L108ZhSo+yfT+YWY/9WgToZ5tInVumwj1aBOh1pFBDL8G0KwRhIBm4HBJpdIOVQee1Jxi+/OM/JPPsxPo76PuCdWhp2ebCPVsE6H2USF0SAbgdQhCQBNhs1WvT1QTctIOFSstp0Sph4prnUU5MthfnWNC1TUuTOe2iVTPxAh1jglttBmFAcCTEYQAD7Y/r0Srd+doTcohbdl7WGUW6ymPbR0ZpE6tQtU5JlSdWoWoc0yoOrcKbfA8OwDgDQhCgAeprLLpu32HtXp3jlan5OjXQyUO+/19TeoQHaLOrULV6WjQ6RRTvShlcAD/OQNAffEvJ+BmOUXlWptySGt25+ibPbkOHZn9fEzq276Fhie10pCzWqlTTAi3tADAiQhCQCOz2QztyCiovuW1O0c/ZhQ47I8ODdCQs1ppeFIrXXhWtMIZqg4ALkMQAhpBWaVVa1Ny9NWuHK37JeeE2Zl7tonQsK7V4adH6whGbwFAIyEIAS5SVmnVmpQcrfgxU6t35Th0dA41++nCLtEaltRKQ7vGqBUrfwKAWxCEACeqafn59CThJ7FlkEaeHafhSa3Ut31LBfjR1wcA3I0gBJyhmvCz4sdMrd6do9LKY+GnTYsgje4Zr9E94tWjdQTD2AHAwxCEgAYotxxt+dlxivDTI16jexJ+AMDTEYSAOqoJPyt+zNKqXdkO4ad1ZJAu7xmvy3rEq2cbwg8ANBUEIeA0UnOK9c/N6fpw22/KL7XYt7eOrL7tdVmPeJ1L+AGAJokgBJxERZVVn/+UpSWb0rVp72H79viIQF3eM16jeyYQfgCgGWgyQejw4cP605/+pOXLl8vHx0fjxo3T3LlzFRoaespzhg4dqnXr1jlsu/322/X666+7ulw0Ub8eqm79+c/W33TkaOuPj0kantRKN/RvqyFntZIvc/wAQLPRZILQjTfeqMzMTK1cuVIWi0W33HKLpkyZoiVLltR63uTJk/X444/bXwcHB7u6VDQxlVU2ffFzdevPhl/z7NvjIwL1h/MT9YfzExUfEeTGCgEArtIkgtCuXbv0+eefa8uWLerbt68k6eWXX9Zll12m559/XgkJCac8Nzg4WHFxcY1VKpqQfbkl9tafvJLqmZ59TNKwrq10fb+2Gto1hnW9AKCZaxJBaMOGDYqMjLSHIElKTk6Wj4+PNm3apKuuuuqU5y5evFjvvfee4uLidMUVV+iRRx6ptVWooqJCFRUV9teFhYXO+SXgESqrbFq5M1tLNu/X/1KPtf7EhQfquqOtP60jaf0BAG/RJIJQVlaWWrVq5bDNz89PLVu2VFZW1inPu+GGG9SuXTslJCRox44dmjZtmlJSUrR06dJTnjNnzhw99thjTqsdnsEwDH3yw0HNXrFLOUXVQddkkoaeFaMb+rfTMFp/AMAruTUITZ8+Xc8880ytx+zatavB7z9lyhT78x49eig+Pl4jRoxQWlqaOnXqdNJzZsyYofvvv9/+urCwUImJiQ2uAe6Xnleqh5b9qG/25EqSWoWZ7X1/2rSgzxgAeDO3BqEHHnhAkyZNqvWYjh07Ki4uTjk5OQ7bq6qqdPjw4Xr1/+nfv78kKTU19ZRByGw2y2w21/k94bmqrDYtWL9XL371i8otNgX4+eieEV00+cKOrPMFAJDk5iAUExOjmJiY0x43YMAA5efna+vWrerTp48kafXq1bLZbPZwUxfbt2+XJMXHxzeoXjQdPxzI14ylP2pnZnUfrwEdo/TU1T3UITrEzZUBADyJyTAMw91F1MWll16q7Oxsvf766/bh83379rUPn8/IyNCIESP0zjvvqF+/fkpLS9OSJUt02WWXKSoqSjt27NB9992nNm3anDC3UG0KCwsVERGhgoIChYeHu+rXg5OUVFTphS9/0aJv98pmSJHB/nrosm66pk8bJj8EAC9S1+/vJtFZWqoe/XXXXXdpxIgR9gkV582bZ99vsViUkpKi0tJSSVJAQIC++uorvfTSSyopKVFiYqLGjRunhx9+2F2/Alxs9e5sPbLsZ2Xkl0mSxp6XoIcvP1vRodzqBACcXJNpEXIXWoQ8X05RuR5bvlMrdmRKql79ffZVPTTkrNPfdgUANE/NrkUI+D2bzdD7Ww5ozme7VFReJV8fk24b3EH3JHdRcAB/tQEAp8e3BZqk1JwizVj6o7bsOyJJ6tE6QnOu7qHurSPcXBkAoCkhCKFJqaiy6rU1aXptbaosVkPBAb564JKumjSwPYuhAgDqjSCEJqOkoko3Ldik79PzJVWvCP/4lecwKSIAoMEIQmgSKqtsuuO9rfo+PV8RQf6afVV3je4Rz5B4AMAZIQjB49lshu7/93Z9sydXQf6+WnTL+erVtoW7ywIANAOsMwCPZhiGHlv+sz7dkSk/H5Nen9CHEAQAcBqCEDzay6tT9faG/ZKkF647l7mBAABORRCCx3pv4379beUvkqRZV5ytK89r7eaKAADNDUEIHum/P2bqkY9/kiT9aXhn3TKog5srAgA0RwQheJz/pebq3ve3yzCk6/u11f0Xn+XukgAAzRRBCB7lx98KNOWd71RptWnUOXF6cmx3hsgDAFyGIASP8euhYk1auFkllVYN6Bill8afx2zRAACXIgjBI2QXlmvCgs3KK6nUOQnhevPmPgr093V3WQCAZo4gBLcrKLXo5gWblZFfpvZRwVp0Sz+FBfq7uywAgBcgCMGtyiqtuvXtLUrJLlKrMLPevbW/YsLM7i4LAOAlCEJwG4vVpqlLtum7/UcUHuind27tp8SWLKAKAGg8BCG4hc1maNqHO7R6d47Mfj5aMOl8JcWFu7ssAICXIQjBLZ7+fLeWbsuQr49Jr97QW+e3b+nukgAAXogghEb3xro0vfn1r5KkZ8b1VPLZsW6uCADgrQhCaFTLfzioOZ/tliTNvCxJ1/Rp4+aKAADejCCERpOaU6RpH+6QJN06uIOmXNTJzRUBALwdQQiNoqSiSne8t02lR2eNnnFpkrtLAgCAIATXMwxD05f+qNScYsWGmzXv+l7y8+WvHgDA/fg2gsu9/e0+Lf/hoPyOjhBjwkQAgKcgCMGltqUf0ez/7pIkTb80SX0ZJg8A8CAEIbhMXnGFpi7eJovV0GU94nTr4A7uLgkAAAcEIbiE1Wbonve3K7OgXB2jQ/TMuJ4ymUzuLgsAAAcEIbjE3K9+0frUXAX5+2r+TX1YTR4A4JEIQnC6NbtzNG91qiRpztU91DUuzM0VAQBwcgQhONWBw6W691/bJUkTLminsb1au7cgAABqQRCC05RbrPq/xdtUUGbRuYmRevjybu4uCQCAWhGE4DSPf7pTP2YUKDLYX6/e0EtmP193lwQAQK0IQnCKpdt+05JN6TKZpJf+cJ7atAh2d0kAAJwWQQhnbHdWoWZ+9KMk6e7hXTS0ays3VwQAQN0QhHBGCsstuvO9bSq32HTRWTG6e0QXd5cEAECdEYTQYIZh6MEPdmhvbokSIgL10h/Ok68PkyYCAJoOghAa7B/f7NXnP2fJ39ek127qo5YhAe4uCQCAeiEIoUE27z2spz/fLUl69PKzdV5ipHsLAgCgAQhCqLeconLdtWSbrDZDY89L0E0XtHN3SQAANAhBCPViGIbufX+7cooqdFZsqJ66ugeLqQIAmiyCEOrlw20Z+jYtz76YanCAn7tLAgCgwQhCqLP80krN+e8uSdK9yV3UKSbUzRUBAHBmCEKos+e+SFFeSaW6tArVHwd3cHc5AACcMYIQ6mT7gXwt2ZwuSXpybHf5+/JXBwDQ9PFthtOy2gw9vOxHGYZ0de/W6t8xyt0lAQDgFAQhnNbiTfv1U0ahwgP9NOPSbu4uBwAApyEIoVY5ReV67osUSdJfRiUpJszs5ooAAHCeJhOEZs+erYEDByo4OFiRkZF1OscwDD366KOKj49XUFCQkpOTtWfPHtcW2szM+e9uFZVXqWebCN3Qr627ywEAwKmaTBCqrKzUtddeqzvvvLPO5zz77LOaN2+eXn/9dW3atEkhISEaOXKkysvLXVhp87EhLU8ffZ8hk6m6gzQLqgIAmpsmMxveY489JklatGhRnY43DEMvvfSSHn74YV155ZWSpHfeeUexsbFatmyZxo8f76pSm4XKKpse+fgnSdKN/duqZ5tI9xYEAIALNJkWofrau3evsrKylJycbN8WERGh/v37a8OGDac8r6KiQoWFhQ4Pb7Rg/V6l5hQrKiRAf7kkyd3lAADgEs02CGVlZUmSYmNjHbbHxsba953MnDlzFBERYX8kJia6tE5P9NuRUs1bVd2XauZl3RQR7O/migAAcA23BqHp06fLZDLV+ti9e3ej1jRjxgwVFBTYHwcOHGjUz/cEjy/fqTKLVf3at9TVvVu7uxwAAFzGrX2EHnjgAU2aNKnWYzp27Nig946Li5MkZWdnKz4+3r49Oztb55133inPM5vNMpu9d4j4ql3Z+nJntvx8THpibHdWlgcANGtuDUIxMTGKiYlxyXt36NBBcXFxWrVqlT34FBYWatOmTfUaeeZNyiqtmvXJz5KkWwd3UNe4MDdXBACAazWZPkLp6enavn270tPTZbVatX37dm3fvl3FxcX2Y5KSkvTRRx9Jkkwmk+699149+eST+uSTT/Tjjz/q5ptvVkJCgsaOHeum38KzvbY2Vb8dKVN8RKDuHtHF3eUAAOByTWb4/KOPPqq3337b/rpXr16SpDVr1mjo0KGSpJSUFBUUFNiPefDBB1VSUqIpU6YoPz9fgwcP1ueff67AwMBGrb0pSDtUrDfW/SpJmnXF2QoxN5m/GgAANJjJMAzD3UV4ssLCQkVERKigoEDh4eHuLsclDMPQhAWbtT41V0O7xmjhpPPpGwQAaNLq+v3dZG6NwXU+3ZGp9am5CvDz0WNjziEEAQC8BkHIyxWVW/TEpzslSVOHdla7qBA3VwQAQOMhCHm5F1fuUU5RhdpHBev2IQ2bqgAAgKaKIOTFfj5YoEXf7pUkPX5ldwX6+7q5IgAAGhdByEvZbIYeWfaTbIY0uke8LjrLNfM5AQDgyQhCXuqDrQe0LT1fIQG+euTys91dDgAAbkEQ8kKHSyo157PqNdzuu/gsxUUwrxIAwDsRhLzQom/3Kb/UoqS4ME0c2N7d5QAA4DYEIS+0cme2JGnyhR3l78tfAQCA9+Jb0Mtk5JdpV2ahfEzSsKRW7i4HAAC3Igh5mdW7cyRJvdu2UMuQADdXAwCAexGEvMyqXdW3xYZ3ozUIAACCkBcprazSt2l5kqTkbrFurgYAAPcjCHmRb/bkqrLKpsSWQerSKtTd5QAA4HYEIS+yeld1/6ARSbGsMA8AgAhCXsNmM7TqaEdpbosBAFCNIOQldmQUKLe4QqFmP/Xr0NLd5QAA4BEIQl6iZrTYRWdFK8CPP3YAACSCkNf46rj+QQAAoBpByAscZDZpAABOiiDkBVYxmzQAACdFEPICzCYNAMDJEYSaOWaTBgDg1AhCzRyzSQMAcGoEoWaO2aQBADg1glAzxmzSAADUjiDUjDGbNAAAtSMINWPMJg0AQO34dmzGmE0aAIDaEYSaKWaTBgDg9AhCzRSzSQMAcHoEoWaK2aQBADg9glAzxGzSAADUDUGoGVrPbNIAANSJX0NO2rt3r7755hvt379fpaWliomJUa9evTRgwAAFBgY6u0bU0ypmkwYAoE7qFYQWL16suXPn6rvvvlNsbKwSEhIUFBSkw4cPKy0tTYGBgbrxxhs1bdo0tWvXzlU1oxbMJg0AQN3VOQj16tVLAQEBmjRpkj788EMlJiY67K+oqNCGDRv0/vvvq2/fvnrttdd07bXXOr1g1I7ZpAEAqLs6B6Gnn35aI0eOPOV+s9msoUOHaujQoZo9e7b27dvnjPpQT8wmDQBA3dU5CNUWgn4vKipKUVFRDSoIZ2YVs0kDAFBnDeosfTzDMLRmzRqVlZVp4MCBatGihTPqQgMczC/TTmaTBgCgzup17yQ/P18TJ05Ujx49NHnyZBUWFurCCy9UcnKyrrjiCnXr1k07duxwVa04DWaTBgCgfuoVhP785z9rw4YNGj9+vH788UeNGjVKVqtVGzZs0KZNm9StWzc99NBDrqoVp8Fs0gAA1E+9bo199tlnWrJkiYYMGaJJkyYpMTFRq1evVv/+/SVJzzzzjMaMGeOSQlE7ZpMGAKD+6tUilJ2drbPOOkuS1Lp1awUGBjoMo2/btq0OHTrk3ApRJ8wmDQBA/dUrCNlsNvn6+tpf+/r6OsxczCzG7sNs0gAA1F+9R4394x//UGhodYtDVVWVFi1apOjoaElSUVGRc6tDnTCbNAAADVOvINS2bVv9/e9/t7+Oi4vTu+++e8IxaFzMJg0AQMPUKwgxW7RnWs1s0gAANEiT+dacPXu2Bg4cqODgYEVGRtbpnEmTJslkMjk8Ro0a5dpC3eArZpMGAKBB6twiNG/evDq/6d13392gYmpTWVmpa6+9VgMGDNCCBQvqfN6oUaO0cOFC+2uz2ez02tyJ2aQBAGi4OgehF1980eH1oUOHVFpaam+dyc/PV3BwsFq1auWSIPTYY49JkhYtWlSv88xms+Li4pxej6dgNmkAABquzrfG9u7da3/Mnj1b5513nnbt2qXDhw/r8OHD2rVrl3r37q0nnnjClfXW29q1a9WqVSt17dpVd955p/Ly8txdklPVzCY9gtFiAADUW4MWXX3kkUf0n//8R127drVv69q1q1588UVdc801uvHGG51W4JkYNWqUrr76anXo0EFpaWmaOXOmLr30Um3YsMFhPqTjVVRUqKKiwv66sLCwscqtt+Nnkx7BshoAANRbgzpLZ2Zmqqqq6oTtVqtV2dnZdX6f6dOnn9CZ+feP3bt3N6RESdL48eM1ZswY9ejRQ2PHjtWnn36qLVu2aO3atac8Z86cOYqIiLA/jp8529MwmzQAAGemQUFoxIgRuv3227Vt2zb7tq1bt+rOO+9UcnJynd/ngQce0K5du2p9dOzYsSElnlTHjh0VHR2t1NTUUx4zY8YMFRQU2B8HDhxw2uc7G7NJAwBwZhp0a+ytt97SxIkT1bdvX/n7+0uqnmV65MiR+sc//lHn94mJiVFMTExDSmiQ3377TXl5eYqPjz/lMWazuUmMLGM2aQAAzlyDglBMTIz++9//as+ePdq1a5ckKSkpyb4gqyukp6fr8OHDSk9Pl9Vq1fbt2yVJnTt3ti/5kZSUpDlz5uiqq65ScXGxHnvsMY0bN05xcXFKS0vTgw8+qM6dO2vkyJEuq7OxMJs0AABnrkFBqEaXLl3UpUsXZ9VSq0cffVRvv/22/XWvXr0kSWvWrNHQoUMlSSkpKSooKJBUvSDsjh079Pbbbys/P18JCQm65JJL9MQTTzSJFp/TYTZpAADOXJ2D0NNPP6177rlHQUFBpz1206ZNys3N1ejRo8+ouOMtWrTotHMIGYZhfx4UFKQvvvjCaZ/vaZhNGgCAM1fnpoSdO3eqbdu2+r//+z999tlnOnTokH1fVVWVduzYoddee00DBw7UH/7wB4WFhbmkYEjFFVXamVk9rH9o18brYwUAQHNT5xahd955Rz/88INeeeUV3XDDDSosLJSvr6/MZrNKS0slVd+uuu222zRp0iQFBga6rGhvl1tUPc9RSICvokKb/m0+AADcpV59hM4991z9/e9/1xtvvKEdO3Zo//79KisrU3R0tM477zxFR0e7qk4cJ6+kOghFhxGCAAA4Ew3qLO3j46PzzjtP5513npPLQV0cKqqUJEWxthgAAGeE4UZNUE2LELfFAAA4MwShJiivuLpFKJogBADAGSEINUG5xUf7CIVyawwAgDNBEGqCalqE6CMEAMCZqXcQslgs8vPz008//eSKelAH9hYhRo0BAHBG6h2E/P391bZtW1mtVlfUgzqoCUJRIQQhAADORINujT300EOaOXOmDh8+7Ox6UAd5JTWdpbk1BgDAmWjQPEKvvPKKUlNTlZCQoHbt2ikkJMRh/7Zt25xSHE5ksdqUX2qRxPB5AADOVIOC0NixY51cBurq8NHWIF8fkyKD/N1cDQAATVuDgtCsWbOcXQfqqKZ/UMuQAPn4mNxcDQAATVuDh8/n5+frH//4h2bMmGHvK7Rt2zZlZGQ4rTiciKHzAAA4T4NahHbs2KHk5GRFRERo3759mjx5slq2bKmlS5cqPT1d77zzjrPrxFE1y2vEMHQeAIAz1qAWofvvv1+TJk3Snj17FBgYaN9+2WWX6euvv3ZacThRLguuAgDgNA0KQlu2bNHtt99+wvbWrVsrKyvrjIvCqeWy4CoAAE7ToCBkNptVWFh4wvZffvlFMTExZ1wUTo0FVwEAcJ4GBaExY8bo8ccfl8VSPZ+NyWRSenq6pk2bpnHjxjm1QDiyzyrNZIoAAJyxBgWhF154QcXFxWrVqpXKyso0ZMgQde7cWWFhYZo9e7aza8RxjrUIEYQAADhTDRo1FhERoZUrV2r9+vXasWOHiouL1bt3byUnJzu7PvxOHuuMAQDgNA0KQuXl5QoMDNTgwYM1ePBgZ9eEUzAMQ7k1LUIMnwcA4Iw1KAhFRkaqX79+GjJkiIYNG6YBAwYoKCjI2bXhd4oqqlRptUli+DwAAM7QoD5CX331lUaNGqVNmzZpzJgxatGihQYPHqyHHnpIK1eudHaNOKqmf1Co2U+B/r5urgYAgKavQUFo8ODBmjlzpr788kvl5+drzZo16ty5s5599lmNGjXK2TXiqJr+QXSUBgDAORp0a0yqnjNo7dq19kdFRYUuv/xyDR061Inl4XjHhs7TPwgAAGdoUBBq3bq1ysrKNHToUA0dOlTTpk1Tz549ZTKxGror5bLgKgAATtWgW2MxMTEqLS1VVlaWsrKylJ2drbKyMmfXht/JY8QYAABO1aAgtH37dmVlZWn69OmqqKjQzJkzFR0drYEDB+qhhx5ydo04qubWWDQtQgAAOEWD+whFRkZqzJgxGjRokAYOHKiPP/5Y//znP7Vp0yZml3aRPBZcBQDAqRoUhJYuXWrvJL1z5061bNlSgwcP1gsvvKAhQ4Y4u0YcZe8jxKgxAACcokFB6I477tBFF12kKVOmaMiQIerRo4ez68JJ2G+N0SIEAIBTNCgI5eTkOLsO1AELrgIA4FwN7iNktVq1bNky7dq1S5J09tln68orr5SvLzMeu0JllU0FZRZJLLgKAICzNCgIpaam6rLLLlNGRoa6du0qSZozZ44SExO1YsUKderUyalFQjpcUt0a5OdjUkSQv5urAQCgeWjQ8Pm7775bnTp10oEDB7Rt2zZt27ZN6enp6tChg+6++25n1wgd6x/UMiRAPj5MXAkAgDM0qEVo3bp12rhxo1q2bGnfFhUVpaefflqDBg1yWnE4Jq+kZsQYt8UAAHCWBrUImc1mFRUVnbC9uLhYAQF05HUFFlwFAMD5GhSELr/8ck2ZMkWbNm2SYRgyDEMbN27UHXfcoTFjxji7Roih8wAAuEKDgtC8efPUqVMnDRgwQIGBgQoMDNSgQYPUuXNnzZ0719k1QseGzrPgKgAAztOgPkKRkZH6+OOPlZqaah8+361bN3Xu3NmpxeGYY7NK0yIEAICz1CsI2Ww2Pffcc/rkk09UWVmpESNGaNasWQoKCnJVfTgqlz5CAAA4Xb1ujc2ePVszZ85UaGioWrdurblz52rq1Kmuqg3HqVlwlT5CAAA4T72C0DvvvKPXXntNX3zxhZYtW6bly5dr8eLFstlsrqoPR+Wx4CoAAE5XryCUnp6uyy67zP46OTlZJpNJBw8edHphOMYwjOPWGaNFCAAAZ6lXEKqqqlJgYKDDNn9/f1ksFqcWBUeF5VWqtFa3urVk1BgAAE5Tr87ShmFo0qRJMpuPtUqUl5frjjvuUEhIiH3b0qVLnVch7JMphpn9FOjPorYAADhLvYLQxIkTT9h20003Oa0YnFzN8hrRYdwWAwDAmeoVhBYuXOiqOmq1b98+PfHEE1q9erWysrKUkJCgm266SQ899FCtS3qUl5frgQce0Pvvv6+KigqNHDlSr732mmJjYxux+jOXW1TdIsRkigAAOFeDZpZubLt375bNZtMbb7yhn3/+WS+++KJef/11zZw5s9bz7rvvPi1fvlwffPCB1q1bp4MHD+rqq69upKqdJ7eEEWMAALhCg2aWbmyjRo3SqFGj7K87duyolJQUzZ8/X88///xJzykoKNCCBQu0ZMkSDR8+XFJ1i1a3bt20ceNGXXDBBY1SuzPU9BFiVmkAAJyrSbQInUxBQYFatmx5yv1bt26VxWJRcnKyfVtSUpLatm2rDRs2nPK8iooKFRYWOjzcjQVXAQBwjSYZhFJTU/Xyyy/r9ttvP+UxWVlZCggIUGRkpMP22NhYZWVlnfK8OXPmKCIiwv5ITEx0VtkNdmwOIW6NAQDgTG4NQtOnT5fJZKr1sXv3bodzMjIyNGrUKF177bWaPHmy02uaMWOGCgoK7I8DBw44/TPq69jK87QIAQDgTG7tI/TAAw9o0qRJtR7TsWNH+/ODBw9q2LBhGjhwoN58881az4uLi1NlZaXy8/MdWoWys7MVFxd3yvPMZrPDPEmegAVXAQBwDbcGoZiYGMXExNTp2IyMDA0bNkx9+vTRwoUL5eNTe2NWnz595O/vr1WrVmncuHGSpJSUFKWnp2vAgAFnXHtjyqWzNAAALtEk+ghlZGRo6NChatu2rZ5//nkdOnRIWVlZDn19MjIylJSUpM2bN0uSIiIidOutt+r+++/XmjVrtHXrVt1yyy0aMGBAkxoxVlllU2F5lSRahAAAcLYmMXx+5cqVSk1NVWpqqtq0aeOwzzAMSZLFYlFKSopKS0vt+1588UX5+Pho3LhxDhMqNiV5JdWtQX4+JkUE+bu5GgAAmheTUZMkcFKFhYWKiIhQQUGBwsPDG/3zf8oo0OUvr1dsuFmbZiaf/gQAAFDn7+8mcWvMm9n7BzFiDAAApyMIeTj7HEIsuAoAgNMRhDycfeg8C64CAOB0BCEPl8eCqwAAuAxByMMxhxAAAK5DEPJwufZ1xghCAAA4G0HIw+XZW4S4NQYAgLMRhDycfdQYw+cBAHA6gpAHMwzDPrN0dBgtQgAAOBtByIMVllXJYq2e+Lslw+cBAHA6gpAHyz3aGhQW6Cezn6+bqwEAoPkhCHmwmv5BMYwYAwDAJQhCHiyXEWMAALgUQciD5bHgKgAALkUQ8mA1kynSIgQAgGsQhDyYfcFV+ggBAOASBCEPZp9MkRYhAABcgiDkwWomU2TBVQAAXIMg5MFYcBUAANciCHkwhs8DAOBaBCEPVVFlVVF5lSQWXAUAwFUIQh6qpqO0v69J4UF+bq4GAIDmiSDkoWqCUFSIWSaTyc3VAADQPBGEPFRuCf2DAABwNYKQh7K3CDFiDAAAlyEIeahjs0rTIgQAgKsQhDxUHstrAADgcgQhD3WsszQtQgAAuApByEMdokUIAACXIwh5qGOdpWkRAgDAVQhCHqpmwVVahAAAcB2CkAey2Qx7ixBBCAAA1yEIeaDCcouqbIYkqSWdpQEAcBmCkAfKPdoaFB7opwA//ogAAHAVvmU9EHMIAQDQOAhCHiiX/kEAADQKgpAHymPBVQAAGgVByAPlMocQAACNgiDkgXLpIwQAQKMgCHmgms7SUQQhAABciiDkgeyTKTKHEAAALkUQ8kD2W2NhtAgBAOBKBCEPZF9wlRYhAABciiDkYcotVhVVVEmijxAAAK5GEPIweSXVrUEBvj4KD/RzczUAADRvBCEPc2zEWIBMJpObqwEAoHkjCHmYPCZTBACg0RCEPEzNiLGoEPoHAQDgak0iCO3bt0+33nqrOnTooKCgIHXq1EmzZs1SZWVlrecNHTpUJpPJ4XHHHXc0UtUNw4KrAAA0nibRG3f37t2y2Wx644031LlzZ/3000+aPHmySkpK9Pzzz9d67uTJk/X444/bXwcHB7u63DOSZ19eg1tjAAC4WpMIQqNGjdKoUaPsrzt27KiUlBTNnz//tEEoODhYcXFxri7RaWpGjdFHCAAA12sSt8ZOpqCgQC1btjztcYsXL1Z0dLS6d++uGTNmqLS0tBGqazgWXAUAoPE0iRah30tNTdXLL7982tagG264Qe3atVNCQoJ27NihadOmKSUlRUuXLj3lORUVFaqoqLC/LiwsdFrddZFrHzVGEAIAwNXcGoSmT5+uZ555ptZjdu3apaSkJPvrjIwMjRo1Stdee60mT55c67lTpkyxP+/Ro4fi4+M1YsQIpaWlqVOnTic9Z86cOXrsscfq8Vs4l30eIZbXAADA5UyGYRju+vBDhw4pLy+v1mM6duyogIDqUHDw4EENHTpUF1xwgRYtWiQfn/rd2SspKVFoaKg+//xzjRw58qTHnKxFKDExUQUFBQoPD6/X59WXzWaoy8OfyWoztHHGCMVFBLr08wAAaK4KCwsVERFx2u9vt7YIxcTEKCYmpk7HZmRkaNiwYerTp48WLlxY7xAkSdu3b5ckxcfHn/IYs9kss9k9t6UKyiyy2qpzaUtahAAAcLkm0Vk6IyNDQ4cOVdu2bfX888/r0KFDysrKUlZWlsMxSUlJ2rx5syQpLS1NTzzxhLZu3ap9+/bpk08+0c0336yLLrpIPXv2dNevUqu8kuqWqIggfwX4NYk/GgAAmrQm0Vl65cqVSk1NVWpqqtq0aeOwr+bOnsViUUpKin1UWEBAgL766iu99NJLKikpUWJiosaNG6eHH3640euvq1yW1wAAoFE1iSA0adIkTZo0qdZj2rdvr+O7OyUmJmrdunUursy5GDoPAEDj4v6LB8mzL69BixAAAI2BIORB8lhwFQCARkUQ8iCHWHAVAIBGRRDyIPYWIW6NAQDQKAhCHqRmwVX6CAEA0DgIQh4k194ixK0xAAAaA0HIg+TRRwgAgEZFEPIQ5RariiuqJNFHCACAxkIQ8hA1t8UCfH0UZm4S81wCANDkEYQ8xPGTKZpMJjdXAwCAdyAIeYiaBVfpKA0AQOMhCHkIFlwFAKDxEYQ8BAuuAgDQ+AhCHiKPFiEAABodQchD1CyvEc2CqwAANBqCkIeo6SMUHUaLEAAAjYUg5CHsy2vQIgQAQKMhCHmImgVX6SMEAEDjIQh5AJvN0OES1hkDAKCxEYQ8QH6ZRVabIUlqGUKLEAAAjYUg5AFqRoxFBvvL35c/EgAAGgvfuh7gkL2jNK1BAAA0JoKQBzi24Cr9gwAAaEwEIQ+Qx/IaAAC4BUHIAzB0HgAA9yAIeQAWXAUAwD0IQh4glwVXAQBwC4KQB8hjeQ0AANyCIOQB7Auu0iIEAECjIgh5AEaNAQDgHgQhNyurtKqk0iqJPkIAADQ2gpCb1YwYC/DzUajZz83VAADgXQhCblYzh1BMqFkmk8nN1QAA4F0IQm5mHzHGbTEAABodQcjNatYZY8FVAAAaH0HIzQ4xYgwAALchCLmZvUWIIAQAQKMjCLlZXklNixC3xgAAaGwEITfLpbM0AABuQxByszz78hrcGgMAoLERhNzMvvI8C64CANDoCEJuZLUZOkwfIQAA3IYg5Eb5pZWyGdXPWzKPEAAAjY4g5EY1y2u0CPaXny9/FAAANDa+fd0ot6hmxBj9gwAAcAeCkBvlltSMGOO2GAAA7kAQcqNjC67SIgQAgDsQhNzIPocQHaUBAHALgpAb5dIiBACAWzWZIDRmzBi1bdtWgYGBio+P14QJE3Tw4MFazykvL9fUqVMVFRWl0NBQjRs3TtnZ2Y1U8enlMqs0AABu1WSC0LBhw/Tvf/9bKSkp+vDDD5WWlqZrrrmm1nPuu+8+LV++XB988IHWrVungwcP6uqrr26kik+vZsFV1hkDAMA9/NxdQF3dd9999uft2rXT9OnTNXbsWFksFvn7+59wfEFBgRYsWKAlS5Zo+PDhkqSFCxeqW7du2rhxoy644IJGq/1Uam6NMWoMAAD3aDItQsc7fPiwFi9erIEDB540BEnS1q1bZbFYlJycbN+WlJSktm3basOGDad874qKChUWFjo8XIUFVwEAcK8mFYSmTZumkJAQRUVFKT09XR9//PEpj83KylJAQIAiIyMdtsfGxiorK+uU582ZM0cRERH2R2JiorPKd1BaWaXSSqskOksDAOAubg1C06dPl8lkqvWxe/du+/F/+ctf9P333+vLL7+Ur6+vbr75ZhmG4dSaZsyYoYKCAvvjwIEDTn3/GjWtQWY/H4UE+LrkMwAAQO3c2kfogQce0KRJk2o9pmPHjvbn0dHRio6O1llnnaVu3bopMTFRGzdu1IABA044Ly4uTpWVlcrPz3doFcrOzlZcXNwpP89sNstsdn0LzbH+QWaZTCaXfx4AADiRW4NQTEyMYmJiGnSuzWaTVN2n52T69Okjf39/rVq1SuPGjZMkpaSkKD09/aTBqbEd6x9ER2kAANylSYwa27Rpk7Zs2aLBgwerRYsWSktL0yOPPKJOnTrZQ01GRoZGjBihd955R/369VNERIRuvfVW3X///WrZsqXCw8P1pz/9SQMGDPCIEWPHhs7TPwgAAHdpEkEoODhYS5cu1axZs1RSUqL4+HiNGjVKDz/8sP02lsViUUpKikpLS+3nvfjii/Lx8dG4ceNUUVGhkSNH6rXXXnPXr+GgZjLFKJbXAADAbZpEEOrRo4dWr15d6zHt27c/oeN0YGCgXn31Vb366quuLK9B7H2EwmgRAgDAXZrU8PnmpMpqKMDXhxYhAADcyGQ4e/x5M1NYWKiIiAgVFBQoPDzcqe9tGIasNkN+vuRRAACcqa7f303i1lhzZTKZ5OfL0HkAANyFpggAAOC1CEIAAMBrEYQAAIDXIggBAACvRRACAABeiyAEAAC8FkEIAAB4LYIQAADwWgQhAADgtQhCAADAaxGEAACA1yIIAQAAr0UQAgAAXovV50/DMAxJUmFhoZsrAQAAdVXzvV3zPX4qBKHTKCoqkiQlJia6uRIAAFBfRUVFioiIOOV+k3G6qOTlbDabDh48qLCwMJlMpga/T2FhoRITE3XgwAGFh4c7sUL8Hte68XCtGw/XuvFwrRuPK6+1YRgqKipSQkKCfHxO3ROIFqHT8PHxUZs2bZz2fuHh4fyH1Ui41o2Ha914uNaNh2vdeFx1rWtrCapBZ2kAAOC1CEIAAMBrEYQaidls1qxZs2Q2m91dSrPHtW48XOvGw7VuPFzrxuMJ15rO0gAAwGvRIgQAALwWQQgAAHgtghAAAPBaBCEAAOC1CEKN4NVXX1X79u0VGBio/v37a/Pmze4uqcmbM2eOzj//fIWFhalVq1YaO3asUlJSHI4pLy/X1KlTFRUVpdDQUI0bN07Z2dluqrj5ePrpp2UymXTvvffat3GtnScjI0M33XSToqKiFBQUpB49eui7776z7zcMQ48++qji4+MVFBSk5ORk7dmzx40VN01Wq1WPPPKIOnTooKCgIHXq1ElPPPGEw7pUXOuG+/rrr3XFFVcoISFBJpNJy5Ytc9hfl2t7+PBh3XjjjQoPD1dkZKRuvfVWFRcXO71WgpCL/etf/9L999+vWbNmadu2bTr33HM1cuRI5eTkuLu0Jm3dunWaOnWqNm7cqJUrV8piseiSSy5RSUmJ/Zj77rtPy5cv1wcffKB169bp4MGDuvrqq91YddO3ZcsWvfHGG+rZs6fDdq61cxw5ckSDBg2Sv7+/PvvsM+3cuVMvvPCCWrRoYT/m2Wef1bx58/T6669r06ZNCgkJ0ciRI1VeXu7GypueZ555RvPnz9crr7yiXbt26ZlnntGzzz6rl19+2X4M17rhSkpKdO655+rVV1896f66XNsbb7xRP//8s1auXKlPP/1UX3/9taZMmeL8Yg24VL9+/YypU6faX1utViMhIcGYM2eOG6tqfnJycgxJxrp16wzDMIz8/HzD39/f+OCDD+zH7Nq1y5BkbNiwwV1lNmlFRUVGly5djJUrVxpDhgwx7rnnHsMwuNbONG3aNGPw4MGn3G+z2Yy4uDjjueees2/Lz883zGaz8c9//rMxSmw2Ro8ebfzxj3902Hb11VcbN954o2EYXGtnkmR89NFH9td1ubY7d+40JBlbtmyxH/PZZ58ZJpPJyMjIcGp9tAi5UGVlpbZu3ark5GT7Nh8fHyUnJ2vDhg1urKz5KSgokCS1bNlSkrR161ZZLBaHa5+UlKS2bdty7Rto6tSpGj16tMM1lbjWzvTJJ5+ob9++uvbaa9WqVSv16tVLf//73+379+7dq6ysLIdrHRERof79+3Ot62ngwIFatWqVfvnlF0nSDz/8oPXr1+vSSy+VxLV2pbpc2w0bNigyMlJ9+/a1H5OcnCwfHx9t2rTJqfWw6KoL5ebmymq1KjY21mF7bGysdu/e7aaqmh+bzaZ7771XgwYNUvfu3SVJWVlZCggIUGRkpMOxsbGxysrKckOVTdv777+vbdu2acuWLSfs41o7z6+//qr58+fr/vvv18yZM7VlyxbdfffdCggI0MSJE+3X82T/pnCt62f69OkqLCxUUlKSfH19ZbVaNXv2bN14442SxLV2obpc26ysLLVq1cphv5+fn1q2bOn0608QQpM3depU/fTTT1q/fr27S2mWDhw4oHvuuUcrV65UYGCgu8tp1mw2m/r27aunnnpKktSrVy/99NNPev311zVx4kQ3V9e8/Pvf/9bixYu1ZMkSnXPOOdq+fbvuvfdeJSQkcK29DLfGXCg6Olq+vr4njJ7Jzs5WXFycm6pqXu666y59+umnWrNmjdq0aWPfHhcXp8rKSuXn5zscz7Wvv61btyonJ0e9e/eWn5+f/Pz8tG7dOs2bN09+fn6KjY3lWjtJfHy8zj77bIdt3bp1U3p6uiTZryf/ppy5v/zlL5o+fbrGjx+vHj16aMKECbrvvvs0Z84cSVxrV6rLtY2LizthUFFVVZUOHz7s9OtPEHKhgIAA9enTR6tWrbJvs9lsWrVqlQYMGODGypo+wzB011136aOPPtLq1avVoUMHh/19+vSRv7+/w7VPSUlReno6176eRowYoR9//FHbt2+3P/r27asbb7zR/pxr7RyDBg06YRqIX375Re3atZMkdejQQXFxcQ7XurCwUJs2beJa11Npaal8fBy/An19fWWz2SRxrV2pLtd2wIABys/P19atW+3HrF69WjabTf3793duQU7teo0TvP/++4bZbDYWLVpk7Ny505gyZYoRGRlpZGVlubu0Ju3OO+80IiIijLVr1xqZmZn2R2lpqf2YO+64w2jbtq2xevVq47vvvjMGDBhgDBgwwI1VNx/HjxozDK61s2zevNnw8/MzZs+ebezZs8dYvHixERwcbLz33nv2Y55++mkjMjLS+Pjjj40dO3YYV155pdGhQwejrKzMjZU3PRMnTjRat25tfPrpp8bevXuNpUuXGtHR0caDDz5oP4Zr3XBFRUXG999/b3z//feGJONvf/ub8f333xv79+83DKNu13bUqFFGr169jE2bNhnr1683unTpYlx//fVOr5Ug1Ahefvllo23btkZAQIDRr18/Y+PGje4uqcmTdNLHwoUL7ceUlZUZ//d//2e0aNHCCA4ONq666iojMzPTfUU3I78PQlxr51m+fLnRvXt3w2w2G0lJScabb77psN9msxmPPPKIERsba5jNZmPEiBFGSkqKm6ptugoLC4177rnHaNu2rREYGGh07NjReOihh4yKigr7MVzrhluzZs1J/42eOHGiYRh1u7Z5eXnG9ddfb4SGhhrh4eHGLbfcYhQVFTm9VpNhHDeNJgAAgBehjxAAAPBaBCEAAOC1CEIAAMBrEYQAAIDXIggBAACvRRACAABeiyAEAAC8FkEIgNeZNGmSxo4d26BzL7roIi1ZssS5BZ3E+PHj9cILL7j8cwBvRxAC4BJnEjacZd++fTKZTNq+fbtT3u+TTz5Rdna2xo8f75T3q83DDz+s2bNnq6CgwOWfBXgzghAA1NG8efN0yy23nLBYpyt0795dnTp10nvvvefyzwK8GUEIgFv89NNPuvTSSxUaGqrY2FhNmDBBubm59v1Dhw7V3XffrQcffFAtW7ZUXFyc/vrXvzq8x+7duzV48GAFBgbq7LPP1ldffSWTyaRly5ZJql7lWpJ69eolk8mkoUOHOpz//PPPKz4+XlFRUZo6daosFssp6z106JBWr16tK664wr7tZC1O+fn5MplMWrt2rSRp7dq1MplM+uKLL9SrVy8FBQVp+PDhysnJ0WeffaZu3bopPDxcN9xwg0pLSx0+84orrtD7779fxysKoCEIQgAaXX5+voYPH65evXrpu+++0+eff67s7Gxdd911Dse9/fbbCgkJ0aZNm/Tss8/q8ccf18qVKyVJVqtVY8eOVXBwsDZt2qQ333xTDz30kMP5mzdvliR99dVXyszM1NKlS+371qxZo7S0NK1Zs0Zvv/22Fi1apEWLFp2y5vXr1ys4OFjdunVr0O/817/+Va+88oq+/fZbHThwQNddd51eeuklLVmyRCtWrNCXX36pl19+2eGcfv36afPmzaqoqGjQZwI4PT93FwDA+7zyyivq1auXnnrqKfu2t956S4mJifrll1901llnSZJ69uypWbNmSZK6dOmiV155RatWrdLFF1+slStXKi0tTWvXrlVcXJwkafbs2br44ovt7xkTEyNJioqKsh9To0WLFnrllVfk6+urpKQkjR49WqtWrdLkyZNPWvP+/fsVGxvb4NtiTz75pAYNGiRJuvXWWzVjxgylpaWpY8eOkqRrrrlGa9as0bRp0+znJCQkqLKyUllZWWrXrl2DPhdA7WgRAtDofvjhB61Zs0ahoaH2R1JSkiQpLS3NflzPnj0dzouPj1dOTo4kKSUlRYmJiQ4Bp1+/fnWu4ZxzzpGvr+9J3/tkysrKFBgYWOf3/73jf5fY2FgFBwfbQ1DNtt9/flBQkCSdcMsMgPPQIgSg0RUXF+uKK67QM888c8K++Ph4+3N/f3+HfSaTSTabzSk11Pe9o6OjdeTIEYdtNa1DhmHYt52qn9Hxn2cymer0+YcPH5Z0rGULgPMRhAA0ut69e+vDDz9U+/bt5efXsH+GunbtqgMHDig7O1uxsbGSpC1btjgcExAQIKm6P9GZ6tWrl7KysnTkyBG1aNFC0rGAkpmZqV69ekmS04bqS9Udytu0aaPo6GinvScAR9waA+AyBQUF2r59u8PjwIEDmjp1qg4fPqzrr79eW7ZsUVpamr744gvdcsstdQ4tF198sTp16qSJEydqx44d+t///qeHH35YUnXriiS1atVKQUFB9s7YZzInT69evRQdHa3//e9/9m1BQUG64IIL9PTTT2vXrl1at26dvQZn+Oabb3TJJZc47f0AnIggBMBl1q5dq169ejk8HnvsMSUkJOh///ufrFarLrnkEvXo0UP33nuvIiMj69wZ2dfXV8uWLVNxcbHOP/983XbbbfZRYzV9efz8/DRv3jy98cYbSkhI0JVXXtng38XX11e33HKLFi9e7LD9rbfeUlVVlfr06aN7771XTz75ZIM/43jl5eVatmzZKTtvA3AOk3H8zW0AaML+97//afDgwUpNTVWnTp2c/v5ZWVk655xztG3bNpeP4po/f74++ugjffnlly79HMDb0UcIQJP10UcfKTQ0VF26dFFqaqruueceDRo0yCUhSJLi4uK0YMECpaenuzwI+fv7nzCvEADno0UIQJP1zjvv6Mknn1R6erqio6OVnJysF154QVFRUe4uDUATQRACAABei87SAADAaxGEAACA1yIIAQAAr0UQAgAAXosgBAAAvBZBCAAAeC2CEAAA8FoEIQAA4LUIQgAAwGv9P55RzyTtvdvCAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "eff = 20 * np.log10((eme_sim_data.smatrix.S21.isel(mode_index_in=0, mode_index_out=0)).abs.squeeze())\n",
    "plt.plot(lengths, eff)\n",
    "plt.xlabel(\"Length (um)\")\n",
    "plt.ylabel(\"Power (dB)\")\n",
    "plt.title(\"Coupling Efficiency\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4a0a56b4-f9b1-4ec7-ad8e-7df882f11755",
   "metadata": {},
   "source": [
    "We can inspect the EME modes, for example at the input port. We see that only one is guided. The remaining modes still contribute to EME propagation, capturing radiative losses and other effects."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a07d8403-ea4b-4ced-9ad1-43e9c862516f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 18 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(3, 3, figsize=(10, 8))\n",
    "for mode_index in range(9):\n",
    "    i = mode_index // 3\n",
    "    j = mode_index % 3\n",
    "    eme_sim_data.plot_field(\"modes\", \"Ey\", val=\"abs\", eme_cell_index=0, mode_index=mode_index, ax=ax[i][j])\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e76e36f3-e142-4d68-bffa-fc917ab70e8f",
   "metadata": {},
   "source": [
    "We can also make a 2D plot of the scattering matrix as a function of cell index and mode index (although note that the coefficients are not normalized). This shows us that the scattering is occuring towards the beginning of the taper. Note that once again the default behavior of the monitor is to record at `sweep_index=0` (length 1 um)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e5f5a8e3-5211-4478-b3b8-287d7903a7e5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "eme_sim_data[\"coeffs\"].A.sel(mode_index_in=0, eme_port_index=0).abs.plot(x=\"eme_cell_index\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9fe3f9a4-fd7a-494d-b0fd-5008be379d6b",
   "metadata": {},
   "source": [
    "## Tips and Tricks"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "72b55ef3-1757-4a79-979d-17f7863531cd",
   "metadata": {},
   "source": [
    "### Other Bases\n",
    "\n",
    "By default, the scattering matrix is expressed in the basis of EME modes at the two ports. It is sometimes useful to use alternative bases. For example, in a waveguide splitter, we might want the scattering matrix in the basis of modes of the individual waveguides. The functions `EMESimulationData.smatrix_in_basis` and `EMESimulationData.field_in_basis` can be used for this purpose after the simulation has been run.\n",
    "\n",
    "### Frequency Sweeps\n",
    "\n",
    "Frequency sweeps are supported by including multiple frequencies in the `freqs` field. However, our EME solver repeats the mode solving for each new frequency, so frequency sweeps involving a large number of frequencies can be slow and expensive. If a large number of frequencies are required, consider using our FDTD solver instead.\n",
    "\n",
    "### Passivity and Unitarity Constraints\n",
    "\n",
    "Passivity and unitarity constraints can be imposed via the `constraint` field. These constraints are imposed at interfaces between cells, possibly at the expense of field continuity. Passivity means that the interface can only dissipate energy, and unitarity means the interface will conserve energy (energy may still be dissipated inside cells when the propagation constant is complex). Adding constraints can slow down the simulation significantly, especially for a large number of modes (more than 30 or 40).\n",
    "\n",
    "### Too Many Modes\n",
    "\n",
    "It is important to use enough modes to capture the physics of the device and to ensure that the results have converged (see below). However, using too many modes can slow down the simulation and result in numerical issues. If too many modes are used, it is common to see a warning about invalid modes in the simulation log. While these modes are not included in the EME propagation, this can indicate some other issue with the setup, especially if the results have not converged. In this case, extending the simulation size in the transverse directions and increasing the grid resolution may help by creating more valid modes that can be used in convergence testing.\n",
    "\n",
    "### Mode Convergence Sweeps\n",
    "\n",
    "It is a good idea to check that the number of modes is large enough by running a mode convergence sweep. Here, we check convergence in the previous taper example."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "9dbb236f-9eae-4bdc-b462-3dac9c31805f",
   "metadata": {},
   "outputs": [],
   "source": [
    "sweep_spec = td.EMEModeSweep(num_modes=list(np.arange(1, eme_num_modes)))\n",
    "\n",
    "eme_sim = eme_sim.updated_copy(\n",
    "    sweep_spec=sweep_spec,\n",
    "    monitors=[]\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "8fdc29a3-3c63-471f-8e26-0b31397acd35",
   "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\">10:28:47 BST </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'EME taper convergence sweep'</span> with task_id            \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'eme-cd23f4f5-d86a-4668-9c55-0edbd28efeb1'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'EME'</span>.    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:28:47 BST\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'EME taper convergence sweep'\u001b[0m with task_id            \n",
       "\u001b[2;36m             \u001b[0m\u001b[32m'eme-cd23f4f5-d86a-4668-9c55-0edbd28efeb1'\u001b[0m and task_type \u001b[32m'EME'\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>Tidy3D's EME solver is currently in the beta stage. Cost of EME    \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>simulations is subject to change in the future.                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTidy3D's EME solver is currently in the beta stage. Cost of EME    \n",
       "\u001b[2;36m             \u001b[0msimulations is subject to change in the future.                    \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "59a008451ab646a0830686074d5bf1b5",
       "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\">10:28:50 BST </span>status = queued                                                    \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:28:50 BST\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": "",
       "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\">10:29:02 BST </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.466</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>the billed FlexCredit cost after a simulation run.                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:29:02 BST\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.466\u001b[0m. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get\n",
       "\u001b[2;36m             \u001b[0mthe billed FlexCredit cost after a simulation run.                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>starting up solver                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">10:29:03 BST </span>running solver                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:29:03 BST\u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b44f301f1b674c6abf7937c380caeec4",
       "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\">10:29:59 BST </span>status = success                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:29:59 BST\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": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "682af740b3264ae584ffe7e05419fba9",
       "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\">10:30:05 BST </span>loading simulation from simulation_data.hdf5                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;36m10:30:05 BST\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "eme_sim_data = web.run(eme_sim, task_name=\"EME taper convergence sweep\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d9ea289c-04f3-4e39-8564-58cea2a594be",
   "metadata": {},
   "source": [
    "Now we plot the efficiency versus the number of modes. We can see that the results have converged."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "81b59583-3666-4b71-bd20-0d711f071894",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(20 * np.log10(eme_sim_data.smatrix.S21.isel(mode_index_in=0, mode_index_out=0).abs)).plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7b59a93b-f579-4c1d-ab29-9180af690021",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1c884d13-110e-4a5e-951b-acd96b1b8860",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "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"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}