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implemented new filtering system based on a Filter Class. Previously, filtering was made expensive by extreme padding, now this has been fixed by choosing a more appropriate padding size. The gradient chain based on unitcells has been implemented but the results have yet to be tested using FDTD, which will be the next step. Added some utilities to visualize the effect of filter radius on given input masks and added all data concerning unit cell simulations. Still to be done is to fix materials in the MEEP simulations, so as to account for true material behavior instead of relying on constant refractive indices.

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Edoardo Vergerio
2026-10-14 16:40:05 +02:00
parent 7a71b43b72
commit 625cd64f53
34 changed files with 1891 additions and 196 deletions
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unit_cell/unitCell_grads.py
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'''
Utility script to test the gradients functionality of the unit cell class of mpid
Given the simulated transmittance phase values and associated tune parameter,
the unit cell class should return the gradient of the simulated phase with respect to the tuning parameter.
the class also provides a method to compute the gradient at a specific tuning parameter value, through interpolation.
'''
import numpy as np
from matplotlib import pyplot as plt
from mpid import UnitCell
wavelength_um_1_53 = 1.53
wavelength_um_1_55 = 1.55
wavelength_um_1_57 = 1.57
unit_cell_diameters = np.load("unit_cell/unit_cell_center_1550_h900nm_res50_wvl_diameters.npy")
unit_cell_phases_wvl_1530 = np.load("unit_cell/unit_cell_center_1530_h900nm_res50_wvl_mode_phase.npy")
unit_cell_phases_wvl_1550 = np.load("unit_cell/unit_cell_center_1550_h900nm_res50_wvl_mode_phase.npy")
unit_cell_phases_wvl_1570 = np.load("unit_cell/unit_cell_center_1570_h900nm_res50_wvl_mode_phase.npy")
unit_cell_1530 = UnitCell(wavelength=wavelength_um_1_53, tune_param=unit_cell_diameters, sim_phase=unit_cell_phases_wvl_1530)
unit_cell_1550 = UnitCell(wavelength=wavelength_um_1_55, tune_param=unit_cell_diameters, sim_phase=unit_cell_phases_wvl_1550)
unit_cell_1570 = UnitCell(wavelength=wavelength_um_1_57, tune_param=unit_cell_diameters, sim_phase=unit_cell_phases_wvl_1570)
fig, ax = plt.subplots(figsize=(6, 6))
plt.rcParams['mathtext.default'] = 'regular'
ax.plot(unit_cell_1530.get_tune_param(), unit_cell_1530.get_gradient(), color='r', label=r"$\lambda=1530\:[nm]$", linewidth=3)
ax.plot(unit_cell_1550.get_tune_param(), unit_cell_1550.get_gradient(), color='g', label=r"$\lambda=1550\:[nm]$", linewidth=3)
ax.plot(unit_cell_1570.get_tune_param(), unit_cell_1570.get_gradient(), color='b', label=r"$\lambda=1570\:[nm]$", linewidth=3)
ax.set_xlabel("diameter [um]", fontsize=20)
ax.set_ylabel(r"$\partial \phi/\partial d$", fontsize=20, rotation='vertical')
ax.yaxis.set_label_coords(-0.11, 0.5)
ax.set_aspect('auto')
ax.set_xticks(np.arange(min(unit_cell_diameters), max(unit_cell_diameters)+0.1, 0.1))
ax.tick_params(axis='x', labelsize=20)
ax.tick_params(axis='y', labelsize=20)
plt.tight_layout()
plt.savefig("unit_cell_gradient.pdf")
fig, ax = plt.subplots(figsize=(6, 6))
ax.plot(unit_cell_1530.get_tune_param(), unit_cell_1530.get_sim_phase(), color='r', label=r"$\lambda=1530\:[nm]$", linewidth=3)
ax.plot(unit_cell_1550.get_tune_param(), unit_cell_1550.get_sim_phase(), color='g', label=r"$\lambda=1550\:[nm]$", linewidth=3)
ax.plot(unit_cell_1570.get_tune_param(), unit_cell_1570.get_sim_phase(), color='b', label=r"$\lambda=1570\:[nm]$", linewidth=3)
ax.set_xlabel("diameter [um]", fontsize=20)
ax.set_ylabel(r"$\phi\:$[rad]", fontsize=20)
ax.tick_params(axis='x', labelsize=20)
ax.tick_params(axis='y', labelsize=20)
ax.legend(fontsize=20, loc='best')
ax.set_aspect('auto')
ax.set_xticks(np.arange(min(unit_cell_diameters), max(unit_cell_diameters)+0.1, 0.1))
plt.tight_layout()
plt.savefig("unit_cell_phase.pdf")