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108 lines
3.9 KiB
Python
108 lines
3.9 KiB
Python
import mpid as pid
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import numpy as np
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import matplotlib.pyplot as plt
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import os
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if not os.path.exists("results"):
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os.makedirs("results")
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#Space grid definition
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N = 1025
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unit_cell_pitch = 0.700 #i.e., 700 [nm]
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n0 = 1.444
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n1 = 1.0
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n2 = 1.444
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mat_refr_index = np.array([n0, n1, n2])
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ms_max_available_diameter = 122 #[um]
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output_fiber_core_diameter = 19 #[um]
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opt_max_eval = 140
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def setup_optical_system()->pid.Simulation:
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'''
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Builds the mode converter optical system using
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the specified propagation distances `d`, runs the optimization
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and returns the best objective value.
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Args:
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xdoe_points (np.ndarray): Array containing the DOE points.
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Each point consists of the propagation distances d0 and d1
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Returns:
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float: The best objective value obtained from the optimization.
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'''
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central_wavelength_um = 1.55
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wavelengths_to_test_um = [1.530, 1.550, 1.570] #[um]
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source_files = ["fiber_modes/SMF/SMF_LP01_field_distribution_lda_1530_N_1025.npy",
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"fiber_modes/SMF/SMF_LP01_field_distribution_lda_1550_N_1025.npy",
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"fiber_modes/SMF/SMF_LP01_field_distribution_lda_1570_N_1025.npy"]
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sources = [pid.Source(input_field=np.load(file),
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wavelength=wvl,
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field_norm=True) for file, wvl in zip(source_files, wavelengths_to_test_um)]
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target_files = ["fiber_modes/FMF/FMF_LP21_field_distribution_lda_1530_N_1025.npy",
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"fiber_modes/FMF/FMF_LP21_field_distribution_lda_1550_N_1025.npy",
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"fiber_modes/FMF/FMF_LP21_field_distribution_lda_1570_N_1025.npy"]
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targets = [pid.Target(input_field=np.load(file),
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associated_source=sources[i],
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wavelength=wvl,
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field_norm=True) for i, (file, wvl) in enumerate(zip(target_files, wavelengths_to_test_um))]
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initial_space_grid = pid.SpaceGrid(
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side_pixels=N,
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unit_cell_pitch=unit_cell_pitch,
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materials_refr_index=mat_refr_index,
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xy_symmetry=True,
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)
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#setup the simulation instance
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simulation = pid.Simulation(
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sources=sources,
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targets=targets,
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central_wavelength=central_wavelength_um,
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space_grid=initial_space_grid,
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n_cpu=1
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)
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simulation.set_optimization(
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opt_param_min=0,
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opt_param_max=1,
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ms_max_avail_diameter=ms_max_available_diameter,
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phase_mask_init_size=output_fiber_core_diameter/3,
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opt_max_eval=opt_max_eval,
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#conic_filter_radius=1.0,
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results_while_solving = False,
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save_results = False,
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)
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return simulation
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if __name__ == "__main__":
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simulation = setup_optical_system()
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results_folder_name = 'results_nf'
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phase_mask_1 = np.load(f"{results_folder_name}/filtered_phase_mask_1.npy").flatten()
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phase_mask_2 = np.load(f"{results_folder_name}/filtered_phase_mask_2.npy").flatten()
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d0 = 195 #propagation distance: source - MS1 [um] FILTERED mf (using LP01 of SMF)
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d1 = 129 #propagation distance: MS1 - MS2 [um] FILTERED mf (using LP01 of SMF)
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d2 = d0 #propagation distance: MS2 - target [um]
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d = np.array([d0, d1, d2])
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results = simulation.source_sweep(distances = d, input_phase_masks=[phase_mask_1, phase_mask_2])
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#make a plot of the results, Use the keys as x axis and values as y axis
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fig, ax = plt.subplots(figsize=(6, 6))
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ax.plot(np.array(list(results.keys()))*1e9, np.array(list(results.values())), marker='o', linewidth=2)
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#make the y tick labels to only have two decimal places
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ax.yaxis.set_major_formatter(plt.FormatStrFormatter('%.3f'))
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ax.set_xlabel('wavelength [nm]', fontsize=15)
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ax.set_ylabel('overlap', fontsize=15)
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ax.tick_params(axis='both', which='major', labelsize=15)
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ax.set_aspect('auto')
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plt.tight_layout()
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plt.savefig(f"{results_folder_name}/source_sweep_results.pdf") |