{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Modes in bent and angled waveguides\n", "\n", "Here, we illustrate how we can use the `ModeSource` and `ModeMonitor` objects to study modes in bent waveguides." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "tags": [] }, "outputs": [], "source": [ "# standard python imports\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import matplotlib as mpl\n", "\n", "# tidy3D import\n", "import tidy3d as td\n", "from tidy3d import web\n", "from tidy3d.plugins.mode import ModeSolver\n" ] }, { "cell_type": "markdown", "metadata": { "tags": [] }, "source": [ "### Bent waveguide setup\n", "\n", "First, we will study mode injection and decomposition in a microring. We start by defining various simulation parameters, and the structures that enter the simulation. We simulate a silicon ring on a silicon oxide substrate, and the ring is defined using two Cylinders." ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "tags": [] }, "outputs": [], "source": [ "# Unit length is micron.\n", "wg_height = 0.22\n", "wg_width = 0.9\n", "# Radius of the simulated ring\n", "radius = 2\n", "\n", "# Waveguide and substrate materials\n", "mat_wg = td.Medium(permittivity=3.48**2)\n", "mat_sub = td.Medium(permittivity=1.45**2)\n", "\n", "# Free-space wavelength (in um) and frequency (in Hz)\n", "lambda0 = 1.55\n", "freq0 = td.C_0 / lambda0\n", "fwidth = freq0 / 10\n", "\n", "# Simulation size inside the PML along propagation direction\n", "sim_length = radius + 1.5\n", "\n", "# Simulation domain size, resolution and total run time\n", "sim_size = [sim_length, 2 * (radius + 1.5), 3]\n", "run_time = 20 / fwidth\n", "grid_spec = td.GridSpec.auto(min_steps_per_wvl=20, wavelength=lambda0)\n", "\n", "# Substrate\n", "substrate = td.Structure(\n", " geometry=td.Box(\n", " center=[0, 0, -sim_size[2]],\n", " size=[td.inf, td.inf, 2 * sim_size[2] - wg_height],\n", " ),\n", " medium=mat_sub,\n", ")\n", "\n", "# The ring is made by two cylinders\n", "cyl1 = td.Structure(\n", " geometry=td.Cylinder(\n", " center=[0, 0, 0],\n", " radius=radius - wg_width / 2,\n", " length=wg_height,\n", " axis=2,\n", " ),\n", " medium=td.Medium(),\n", ")\n", "cyl2 = td.Structure(\n", " geometry=td.Cylinder(\n", " center=[0, 0, 0],\n", " radius=radius + wg_width / 2,\n", " length=wg_height,\n", " axis=2,\n", " ),\n", " medium=mat_wg,\n", ")\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Modal planes in bent waveguides\n", "\n", "As usual, when initializing `ModeSource` and `ModeMonitor` objects, one of the three values of the `size` parameter must be zero. In this example, we also need to define the axis of the bend and the radius of the curvature. The definitions are schematically illustrated in the image below. The bend axis is the axis normal to the plane in which the bend lies, (`'z'` in the diagram below). In the mode specification, it is defined *locally* for the mode plane as one of the two axes tangential to the plane. In the case of bends that lie in the `xy`-plane, the mode plane would be either in `xz` or in `yz`, so in both cases the correct setting is `bend_axis=1`, selecting the global `z`. The bend radius is counted from the center of the mode plane to the center of the curvature, along the tangential axis perpendicular to the bend axis. This radius can also be negative, if the center of the mode plane is smaller than the center of the bend, which is what we will encounter in this example. Finally, we note that the `'forward'` and `'backward'` direction parameter can still be used to distinguish between the two propagation directions as in regular modal sources and monitors.\n", "\n", "" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "tags": [] }, "outputs": [], "source": [ "# xy-plane frequency-domain field monitor; slightly offset in z for better structure viz below\n", "field_mnt = td.FieldMonitor(\n", " center=[0, 0, 0.05], size=[td.inf, td.inf, 0], freqs=[freq0], name=\"field\"\n", ")\n", "\n", "# Flux monitor along the ring propagation direction\n", "flux_mnt = td.FluxMonitor(\n", " center=[0, radius, 0], size=[0, 3, 2], freqs=[freq0], name=\"flux\"\n", ")\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Running the simulation \n", "\n", "First, we visualize the simulation to make sure we have set up the device correctly. We will use `'absorber'` boundaries along the x-direction, because these boundaries work better than PML for structures which are not translationally invariant along the boundary normal direction. " ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "tags": [] }, "outputs": [ { "data": { "text/html": [ "
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", 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