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88 lines
3.0 KiB
Python
88 lines
3.0 KiB
Python
import mpid as pid
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import numpy as np
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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 = 1.45
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n1 = 1.0
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n2 = 1.45
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mat_refr_index = np.array([n0, n1, n2])
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d0 = 476 #propagation distance: source - MS1 [um]
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d1 = 510 #propagation distance: MS1 - MS2 [um]
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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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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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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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prop_distances=d,
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materials_refr_index=mat_refr_index,
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)
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wavelength = 1.55
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#define the sources
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source1 = pid.Source(input_field='fiber_modes/LP11_field_distribution_lda_1550_N_1025.npy',
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wavelength=wavelength,
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#space_grid=space_grid,
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field_norm=True)
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source2 = pid.Source(input_field='fiber_modes/LP21_field_distribution_lda_1550_N_1025.npy',
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wavelength=wavelength,
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#space_grid=space_grid,
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field_norm=True)
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target = pid.Target(input_field='fiber_modes/LP01_field_distribution_lda_1550_N_1025.npy',
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center=np.array([20,0]),
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associated_source=source1,
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wavelength=wavelength,
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#space_grid=space_grid,
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field_norm=True)
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target2 = pid.Target(input_field='fiber_modes/LP01_field_distribution_lda_1550_N_1025.npy',
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center=np.array([-20,0]),
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associated_source=source2,
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wavelength=wavelength,
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#space_grid=space_grid,
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field_norm=True)
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#make a plot of sources and targets
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#target.plot2D(plot_zoom_x=100, plot_zoom_y=100, choose_quantity="amplitude", save_name="results/target_plot")
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#target2.plot2D(plot_zoom_x=100, plot_zoom_y=100, choose_quantity="amplitude", save_name="results/target2_plot")
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#source1.plot2D(plot_zoom_x=100, plot_zoom_y=100, choose_quantity="amplitude", save_name="results/source1_plot")
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#source2.plot2D(plot_zoom_x=100, plot_zoom_y=100, choose_quantity="amplitude", save_name="results/source2_plot")
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sim = pid.Simulation(
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sources=[source1, source2],
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targets=[target, target2],
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central_wavelength=wavelength,
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space_grid=space_grid,
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n_cpu=1
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)
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opt_param_min = 0.0
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opt_param_max = 1.0
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sim.set_optimization(opt_param_min=opt_param_min,
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opt_param_max=opt_param_max,
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ms_max_avail_diameter=ms_max_available_diameter,
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phase_mask_init_size=output_fiber_core_diameter,
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opt_max_eval=opt_max_eval,
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strategy = 'mean',
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#conic_filter_radius = 1.0, #i.e. 700 [nm]
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)
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sim.run()
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best_opt_val, distances = sim.get_best_opt_and_distances()
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print("Best optimization value:", best_opt_val)
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print("Distances:", distances) |