|
| 1 | +# Verifies properties of the fields of a planewave using a 1D or 3D simulation. |
| 2 | + |
| 3 | + |
| 4 | +from typing import Tuple |
| 5 | +import unittest |
| 6 | + |
| 7 | +import meep as mp |
| 8 | +import numpy as np |
| 9 | + |
| 10 | + |
| 11 | +class TestPlanewave1D(unittest.TestCase): |
| 12 | + def planewave_in_vacuum( |
| 13 | + self, |
| 14 | + resolution_um: float, |
| 15 | + polar_rad: float, |
| 16 | + azimuth_rad: float, |
| 17 | + cell_dim: int, |
| 18 | + yee_grid: bool, |
| 19 | + ) -> None: |
| 20 | + """ |
| 21 | + Verifies properties of the fields of a planewave in 1D or 3D. |
| 22 | +
|
| 23 | + Computes the DFT fields at two different positions in the 1D grid and |
| 24 | + determines that these fields: |
| 25 | + (1) have the expected relative phase, and |
| 26 | + (2) are the same when obtained as a single point or a slice of an |
| 27 | + array over the entire cell. |
| 28 | +
|
| 29 | + Args: |
| 30 | + resolution_um: resolution of the grid (number of pixels per um). |
| 31 | + polar_rad: polar angle of the incident planewave. 0 is +x axis. |
| 32 | + azimuth_rad: azimuth angle of the incident planewave. 0 is +z axis. |
| 33 | + cell_dim: dimension of the cell (1 or 3). |
| 34 | + yee_grid: whether the DFT fields are on a centered or Yee grid. |
| 35 | + """ |
| 36 | + print( |
| 37 | + f"Testing planewaves in vacuum using {cell_dim}D simulation and " |
| 38 | + f"{'yee' if yee_grid else 'centered'} grid..." |
| 39 | + ) |
| 40 | + |
| 41 | + pml_um = 1.0 |
| 42 | + air_um = 10.0 |
| 43 | + size_z_um = pml_um + air_um + pml_um |
| 44 | + cell_size = mp.Vector3(0, 0, size_z_um) |
| 45 | + pml_layers = [mp.PML(thickness=pml_um)] |
| 46 | + |
| 47 | + wavelength_um = 1.0 |
| 48 | + frequency = 1 / wavelength_um |
| 49 | + kx = frequency * np.sin(azimuth_rad) * np.cos(azimuth_rad) |
| 50 | + ky = frequency * np.sin(azimuth_rad) * np.sin(azimuth_rad) |
| 51 | + kz = frequency * np.cos(azimuth_rad) |
| 52 | + |
| 53 | + if cell_dim == 1 and polar_rad != 0 and azimuth_rad != 0: |
| 54 | + raise ValueError("An oblique planewave cannot be simulated in 1D.") |
| 55 | + |
| 56 | + if cell_dim == 1: |
| 57 | + k_point = False |
| 58 | + dimensions = 1 |
| 59 | + elif cell_dim == 3: |
| 60 | + k_point = mp.Vector3(kx, ky, 0) |
| 61 | + dimensions = 3 |
| 62 | + else: |
| 63 | + raise ValueError("cell_dim can only be 1 or 3.") |
| 64 | + |
| 65 | + src_cmpt = mp.Ex |
| 66 | + sources = [ |
| 67 | + mp.Source( |
| 68 | + src=mp.GaussianSource(frequency, fwidth=0.1 * frequency), |
| 69 | + component=src_cmpt, |
| 70 | + center=mp.Vector3(0, 0, -0.5 * air_um), |
| 71 | + ) |
| 72 | + ] |
| 73 | + |
| 74 | + sim = mp.Simulation( |
| 75 | + resolution=resolution_um, |
| 76 | + force_complex_fields=True, |
| 77 | + cell_size=cell_size, |
| 78 | + sources=sources, |
| 79 | + boundary_layers=pml_layers, |
| 80 | + k_point=k_point, |
| 81 | + dimensions=dimensions, |
| 82 | + ) |
| 83 | + |
| 84 | + dft_fields = sim.add_dft_fields( |
| 85 | + [mp.Ex], |
| 86 | + frequency, |
| 87 | + 0, |
| 88 | + 1, |
| 89 | + center=mp.Vector3(0, 0, 0), |
| 90 | + size=mp.Vector3(0, 0, size_z_um), |
| 91 | + yee_grid=yee_grid, |
| 92 | + ) |
| 93 | + |
| 94 | + z_pos_1 = -0.234804 |
| 95 | + dft_fields_1 = sim.add_dft_fields( |
| 96 | + [mp.Ex], |
| 97 | + frequency, |
| 98 | + 0, |
| 99 | + 1, |
| 100 | + center=mp.Vector3(0, 0, z_pos_1), |
| 101 | + size=mp.Vector3(0, 0, 0), |
| 102 | + yee_grid=yee_grid, |
| 103 | + ) |
| 104 | + |
| 105 | + z_pos_2 = 2.432973 |
| 106 | + dft_fields_2 = sim.add_dft_fields( |
| 107 | + [mp.Ex], |
| 108 | + frequency, |
| 109 | + 0, |
| 110 | + 1, |
| 111 | + center=mp.Vector3(0, 0, z_pos_2), |
| 112 | + size=mp.Vector3(0, 0, 0), |
| 113 | + yee_grid=yee_grid, |
| 114 | + ) |
| 115 | + |
| 116 | + sim.run( |
| 117 | + until_after_sources=mp.stop_when_fields_decayed( |
| 118 | + 25, src_cmpt, mp.Vector3(0, 0, 0.5 * air_um), 1e-6 |
| 119 | + ) |
| 120 | + ) |
| 121 | + |
| 122 | + # Check that the relative phase of the fields obtained from a slice of |
| 123 | + # an array of the fields over the entire cell matches the analytic |
| 124 | + # result. |
| 125 | + ex_dft = sim.get_dft_array(dft_fields, mp.Ex, 0) |
| 126 | + z_um = np.linspace(-0.5 * size_z_um, 0.5 * size_z_um, len(ex_dft)) |
| 127 | + z_idx_1 = np.argmin(np.abs(z_pos_1 - z_um)) |
| 128 | + z_idx_2 = np.argmin(np.abs(z_pos_2 - z_um)) |
| 129 | + meep_phase = ex_dft[z_idx_2] / ex_dft[z_idx_1] |
| 130 | + expected_phase = np.exp(1j * 2 * np.pi * kz * (z_um[z_idx_2] - z_um[z_idx_1])) |
| 131 | + self.assertAlmostEqual(meep_phase, expected_phase, delta=0.05) |
| 132 | + |
| 133 | + # Check that the relative phase of the fields obtained from a point |
| 134 | + # location matches the analytic result. |
| 135 | + ex_dft_pos_1 = sim.get_dft_array(dft_fields_1, mp.Ex, 0) |
| 136 | + ex_dft_pos_2 = sim.get_dft_array(dft_fields_2, mp.Ex, 0) |
| 137 | + meep_phase = ex_dft_pos_2 / ex_dft_pos_1 |
| 138 | + expected_phase = np.exp(1j * 2 * np.pi * kz * (z_pos_2 - z_pos_1)) |
| 139 | + self.assertAlmostEqual(meep_phase, expected_phase, delta=0.05) |
| 140 | + |
| 141 | + # Check that the fields obtained using the two approaches match. |
| 142 | + self.assertAlmostEqual(ex_dft[z_idx_1], ex_dft_pos_1, delta=0.08) |
| 143 | + self.assertAlmostEqual(ex_dft[z_idx_2], ex_dft_pos_2, delta=0.08) |
| 144 | + |
| 145 | + print("PASSED.") |
| 146 | + |
| 147 | + def test_planewave_1D(self): |
| 148 | + self.planewave_in_vacuum(400.0, 0.0, 0.0, 1, False) |
| 149 | + self.planewave_in_vacuum(200.0, 0.0, 0.0, 3, False) |
| 150 | + |
| 151 | + self.planewave_in_vacuum(400.0, 0.0, 0.0, 1, True) |
| 152 | + self.planewave_in_vacuum(200.0, 0.0, 0.0, 3, True) |
| 153 | + |
| 154 | + |
| 155 | +if __name__ == "__main__": |
| 156 | + unittest.main() |
0 commit comments