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fixing plots

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edoardo
2026-05-13 00:04:27 +02:00
parent c3138ae776
commit dceb2631f2
2 changed files with 41 additions and 40 deletions
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mode_converter.ipynb
+13 -13
View File
@@ -328,9 +328,9 @@
" False, \n",
" ax=ax1,\n",
" output_plane=output_plane,\n",
" show_sources = True,\n",
" show_monitors = True,\n",
" show_boundary_layers = True,\n",
" show_sources = False,\n",
" show_monitors = False,\n",
" show_boundary_layers = False,\n",
" )\n",
" circ1 = Circle((2,2), minimum_length/2)\n",
" ax1.add_patch(circ1)\n",
@@ -339,9 +339,9 @@
" False, \n",
" ax=ax2,\n",
" output_plane=output_plane_xy,\n",
" show_sources = True,\n",
" show_monitors = True,\n",
" show_boundary_layers = True,\n",
" show_sources = False,\n",
" show_monitors = False,\n",
" show_boundary_layers = False,\n",
" )\n",
" circ2 = Circle((2,2), minimum_length/2)\n",
" ax2.add_patch(circ2)\n",
@@ -414,9 +414,9 @@
" False, \n",
" ax=ax1,\n",
" output_plane=output_plane,\n",
" show_sources = True,\n",
" show_monitors = True,\n",
" show_boundary_layers = True,\n",
" show_sources = False,\n",
" show_monitors = False,\n",
" show_boundary_layers = False,\n",
")\n",
"\n",
"circ1 = Circle((2,2), minimum_length/2)\n",
@@ -427,15 +427,15 @@
" False, \n",
" ax=ax2,\n",
" output_plane=output_plane_xy,\n",
" show_sources = True,\n",
" show_monitors = True,\n",
" show_boundary_layers = True,\n",
" show_sources = False,\n",
" show_monitors = False,\n",
" show_boundary_layers = False,\n",
")\n",
"circ2 = Circle((2,2), minimum_length/2)\n",
"ax2.add_patch(circ2)\n",
"ax2.axis(\"off\")\n",
" \n",
"plt.savefig(\"results/final_design.pdf\")\n"
"plt.savefig(\"results/final_design_xy.pdf\")\n"
]
}
],
mode_converter.py
+28 -27
View File
@@ -1,6 +1,7 @@
# %% [markdown]
# This is a first attempt at creating an inverse designed fiber mode converter in meep. At first, we try to implement and combine tutorials from both tidy3d and meep.
# %%
import meep as mp
import meep.adjoint as mpa
import numpy as np
@@ -12,7 +13,7 @@ from matplotlib.patches import Circle
import scipy as sp
import os
# %%
######PHYSICS SETUP######
mp.verbosity(1)
@@ -38,7 +39,7 @@ buffer = 2.5
pml_size = 1.0
pml_layers = [mp.PML(pml_size)]
# %%
######FILTER######
minimum_length = 0.09 # minimum length scale (microns)
eta_i = (
@@ -48,7 +49,7 @@ eta_e = 0.55 # erosion design field thresholding point (between 0 and 1)
eta_d = 1 - eta_e # dilation design field thresholding point (between 0 and 1)
filter_radius = mpa.get_conic_radius_from_eta_e(minimum_length, eta_e)
# %%
######DESIGN REGION######
design_region_width = 4.0
design_region_length = 4.0
@@ -104,7 +105,7 @@ geometry = [
design_region_block,
]
# %%
######SOURCE######
fcen = 1 / wavelength
width = 0.2
@@ -116,7 +117,7 @@ source = [mp.Source(src, component=mp.Ex, size=source_size, center=source_center
#src = mp.ContinuousSource(frequency=fcen, fwidth=fwidth, is_integrated=True)
#source = [mp.Source(src, component=mp.Ex, size=source_size, center=source_center)]
# %%
######SIMULATION######
kpoint = mp.Vector3()
sim = mp.Simulation(
@@ -128,7 +129,7 @@ sim = mp.Simulation(
resolution = resolution,
)
# %%
######MONITOR######
far_field_obs_point_z_coord = 15
far_z = [mp.Vector3(0,0,far_field_obs_point_z_coord)] #this is the far-field-focal-point
@@ -153,7 +154,7 @@ def J1(FF):
return obj_to_return
#returns the first point of all frequencies of the Ey component
# %%
######CHECK PLOT######
output_plane = mp.Volume(
center=mp.Vector3(0,0,0),
@@ -169,7 +170,7 @@ fig = sim.plot2D(show_sources=True,show_monitors=True,show_epsilon=True, output_
#sim.plot2D(fields=mp.Ex,output_plane=output_plane)
#plt.savefig("fields.pdf")
# %%
######OPTIMIZATION PROBLEM######
'''
An OptimizationProblem class object knows how to do one basic thing:
@@ -189,10 +190,9 @@ opt = mpa.OptimizationProblem(
######CHECK PLOT######
figure = opt.plot2D(True, output_plane=output_plane)
plt.savefig("results/simulation_setup.pdf")
# %%
def mapping(x,eta,beta):
'''
Arguments:
@@ -253,9 +253,9 @@ def f(v, gradient, cur_beta):
False,
ax=ax1,
output_plane=output_plane,
show_sources = True,
show_monitors = True,
show_boundary_layers = True,
show_sources = False,
show_monitors = False,
show_boundary_layers = False,
)
circ1 = Circle((2,2), minimum_length/2)
ax1.add_patch(circ1)
@@ -264,13 +264,16 @@ def f(v, gradient, cur_beta):
False,
ax=ax2,
output_plane=output_plane_xy,
show_sources = True,
show_monitors = True,
show_boundary_layers = True,
show_sources = False,
show_monitors = False,
show_boundary_layers = False,
)
circ2 = Circle((2,2), minimum_length/2)
ax2.add_patch(circ2)
if not os.path.exists("results"):
os.makedirs("results")
plt.savefig("results/iter_{}.pdf".format(cur_iter[0]+1))
cur_iter[0] += cur_iter[0] + 1
@@ -309,6 +312,7 @@ if optimization_start:
cur_beta = cur_beta * beta_scale #update beta
print("current beta: ", cur_beta)
# %%
######RESULTS######
#plot the figure of merit over iterations
plt.figure()
@@ -328,9 +332,9 @@ opt.plot2D(
False,
ax=ax1,
output_plane=output_plane,
show_sources = True,
show_monitors = True,
show_boundary_layers = True,
show_sources = False,
show_monitors = False,
show_boundary_layers = False,
)
circ1 = Circle((2,2), minimum_length/2)
@@ -341,15 +345,12 @@ opt.plot2D(
False,
ax=ax2,
output_plane=output_plane_xy,
show_sources = True,
show_monitors = True,
show_boundary_layers = True,
show_sources = False,
show_monitors = False,
show_boundary_layers = False,
)
circ2 = Circle((2,2), minimum_length/2)
ax2.add_patch(circ2)
ax2.axis("off")
plt.savefig("results/final_design.pdf")
plt.savefig("results/final_design_xy.pdf")