import mpid as pid import numpy as np import os if not os.path.exists("results"): os.makedirs("results") #Space grid definition N = 1025 unit_cell_pitch = 700e-9 n0 = 1.45 n1 = 1.0 n2 = 1.45 mat_refr_index = np.array([n0, n1, n2]) d0 = 476e-6 #propagation distance: source - MS1 [m] d1 = 510e-6 #propagation distance: MS1 - MS2 [m] d2 = d0 #propagation distance: MS2 - target [m] d = np.array([d0, d1, d2]) ms_max_available_diameter = 122e-6 #[um] output_fiber_core_diameter = 19e-6 #[um] opt_max_eval = 140 space_grid = pid.SpaceGrid( side_pixels=N, unit_cell_pitch = unit_cell_pitch, prop_distances=d, materials_refr_index=mat_refr_index, ) wavelength = 1.55e-6 #define the sources source1 = pid.Source(input_field='fiber_modes/LP11_field_distribution_lda_1550_N_1025.npy', wavelength=wavelength, space_grid=space_grid, field_norm=True) source2 = pid.Source(input_field='fiber_modes/LP21_field_distribution_lda_1550_N_1025.npy', wavelength=wavelength, space_grid=space_grid, field_norm=True) target = pid.Target(input_field='fiber_modes/LP01_field_distribution_lda_1550_N_1025.npy', center=(20e-6,0), associated_source=source1, wavelength=wavelength, space_grid=space_grid, field_norm=True) target2 = pid.Target(input_field='fiber_modes/LP01_field_distribution_lda_1550_N_1025.npy', center=(-20e-6,0), associated_source=source2, wavelength=wavelength, space_grid=space_grid, field_norm=True) #make a plot of sources and targets target.plot2D(plot_zoom_x=100, plot_zoom_y=100, choose_quantity="amplitude", save_name="results/target_plot") target2.plot2D(plot_zoom_x=100, plot_zoom_y=100, choose_quantity="amplitude", save_name="results/target2_plot") source1.plot2D(plot_zoom_x=100, plot_zoom_y=100, choose_quantity="amplitude", save_name="results/source1_plot") source2.plot2D(plot_zoom_x=100, plot_zoom_y=100, choose_quantity="amplitude", save_name="results/source2_plot") sim = pid.Simulation( sources=[source1, source2], targets=[target, target2], central_wavelength=wavelength, space_grid=space_grid, n_cpu=1 ) opt_param_min = 0 opt_param_max = 1 sim.set_optimization(opt_param_min=opt_param_min, opt_param_max=opt_param_max, ms_max_avail_diameter=ms_max_available_diameter, phase_mask_init_size=output_fiber_core_diameter, opt_max_eval=opt_max_eval, conic_filter_radius=1.5e-6) sim.run() best_opt_val, distances = sim.get_best_opt_and_distances() print("Best optimization value:", best_opt_val) print("Distances:", distances)