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after the first tests, I increase the number of iterations per epoch

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edoardo
2026-05-29 14:29:30 +02:00
parent d01f28dab3
commit 5b18e7bce7
1 changed files with 19 additions and 16 deletions
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metapeg_v2.py
+18 -15
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@@ -395,11 +395,11 @@ def normalization_sim() -> np.ndarray:
k_point=mp.Vector3(), k_point=mp.Vector3(),
) )
plt.figure() #plt.figure()
ax = plt.gca() #ax = plt.gca()
norm_sim.plot2D(output_plane=view_2D_plane, ax=ax) #norm_sim.plot2D(output_plane=view_2D_plane, ax=ax)
plt.savefig("results/normalization_sim_setup.pdf") #plt.savefig("results/normalization_sim_setup.pdf")
#plt.close()
NearRegions = [mp.Near2FarRegion( NearRegions = [mp.Near2FarRegion(
center=NEAR_REGION_MONITOR_CENTER, center=NEAR_REGION_MONITOR_CENTER,
@@ -418,10 +418,11 @@ def normalization_sim() -> np.ndarray:
until_after_sources=stop_cond until_after_sources=stop_cond
) )
#make a plot of the fields when simulation finished #make a plot of the fields when simulation finished
plt.figure() #plt.figure()
ax = plt.gca() #ax = plt.gca()
norm_sim.plot2D(output_plane=view_2D_plane, fields=mp.Ex, ax=ax) #norm_sim.plot2D(output_plane=view_2D_plane, fields=mp.Ex, ax=ax)
plt.savefig("results/fields_after_norm_sim.pdf") #plt.savefig("results/fields_after_norm_sim.pdf")
#plt.close()
ref_fields = np.array( ref_fields = np.array(
[norm_sim.get_farfield(norm_near2far, point) for point in ff_points] [norm_sim.get_farfield(norm_near2far, point) for point in ff_points]
@@ -615,9 +616,9 @@ if __name__ == "__main__":
#sigmoid_biases = [8, 16, 32, 64, 128, 256] #sigmoid_biases = [8, 16, 32, 64, 128, 256]
sigmoid_biases = [8, 16, 32] sigmoid_biases = [8, 16, 32]
#max_evals = [80, 80, 100, 120, 120, 100] #max_evals = [48, 48, 60, 60, 60, 60]
max_evals = [10, 7, 7] max_evals = [48, 48, 60]
#max_evals = [1, 1]
epigraph_tolerance = np.array([1e-4]*num_wavelengths) epigraph_tolerance = np.array([1e-4]*num_wavelengths)
tolerance_width_and_spacing = np.array([1e-8]*2) tolerance_width_and_spacing = np.array([1e-8]*2)
@@ -743,9 +744,11 @@ if __name__ == "__main__":
plt.figure() plt.figure()
plt.subplot(1,2,1) plt.subplot(1,2,1)
plt.plot(objfunc_history, label="Objective function value") plt.plot(objfunc_history[:,0], label="f1 - 1.50 um")
plt.plot(objfunc_history[:,1], label="f2 - 1.55 um")
plt.plot(objfunc_history[:,2], label="f3 - 1.60 um")
plt.subplot(1,2,2) plt.subplot(1,2,2)
plt.plot(epivar_history, label="Epigraph variable value") plt.plot(epivar_history, label="Epigraph")
plt.xlabel("Iteration") plt.xlabel("Iteration")
plt.ylabel("Value") plt.ylabel("Value")
plt.legend() plt.legend()
@@ -814,4 +817,4 @@ if __name__ == "__main__":
'optimal_design_weights': optimal_design_weights, 'optimal_design_weights': optimal_design_weights,
}, f) }, f)
print("Normalization simulation completed") print("Simulation completed")