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import meep as mp
import numpy as np
from numpy import linalg as LA
import matplotlib.pyplot as plt
n = 3.4
w = 1
r = 1
pad = 4
dpml = 2
sxy = 2*(r+w+pad+dpml)
vol = mp.Volume(mp.Vector3(), size=mp.Vector3(sxy-2*dpml,sxy-2*dpml))
c1 = mp.Cylinder(radius=r+w, material=mp.Medium(index=n))
c2 = mp.Cylinder(radius=r)
fcen = 0.118
df = 0.08
src = mp.Source(mp.ContinuousSource(fcen,fwidth=df), mp.Ez, mp.Vector3(r+0.1))
sim = mp.Simulation(cell_size=mp.Vector3(sxy,sxy),
geometry=[c1,c2],
sources=[src],
resolution=10,
force_complex_fields=True,
symmetries=[mp.Mirror(mp.Y)],
boundary_layers=[mp.PML(dpml)])
num_tols = 5
tols = np.power(10, np.arange(-8.0,-8.0-num_tols,-1.0))
ez_dat = np.zeros((122,122,num_tols), dtype=np.complex_)
for i in range(num_tols):
sim.init_sim()
sim.solve_cw(tols[i], 10000, 10)
ez_dat[:,:,i] = sim.get_array(vol, component=mp.Ez)
err_dat = np.zeros(num_tols-1)
for i in range(num_tols-1):
err_dat[i] = LA.norm(ez_dat[:,:,i]-ez_dat[:,:,num_tols-1])
plt.figure(dpi=100)
plt.loglog(tols[:num_tols-1], err_dat, 'bo-');
plt.xlabel("frequency-domain solver tolerance");
plt.ylabel("L2 norm of error in fields");
plt.show()
eps_data = sim.get_array(vol, component=mp.Dielectric)
ez_data = np.absolute(ez_dat[:,:,num_tols-1])
plt.figure(dpi=100)
plt.imshow(eps_data.transpose(), interpolation='spline36', cmap='binary')
plt.imshow(ez_data.transpose(), interpolation='spline36', cmap='Reds', alpha=0.9)
plt.axis('off')
plt.show()
if np.all(np.diff(err_dat) < 0):
print("PASSED solve_cw test: error in the fields is decreasing with increasing resolution")
else:
print("FAILED solve_cw test: error in the fields is NOT decreasing with increasing resolution")
sim.reset_meep()
src = mp.Source(mp.GaussianSource(fcen,fwidth=df), mp.Ez, mp.Vector3(r+0.1))
sim = mp.Simulation(cell_size=mp.Vector3(sxy,sxy),
geometry=[c1,c2],
sources=[src],
resolution=10,
symmetries=[mp.Mirror(mp.Y)],
boundary_layers=[mp.PML(dpml)])
dfts = sim.add_dft_fields([mp.Ez], fcen, fcen, 1, where=vol)
sim.run(until_after_sources=100)
sim.output_dft(dfts, "dft_fields")
import h5py
f = h5py.File("dft_fields.h5", 'r')
ezi = f["ez_0.i"].value
ezr = f["ez_0.r"].value
ez_dat = ezr+1j*ezi
eps_data = sim.get_array(vol, component=mp.Dielectric)
ez_data = np.absolute(ez_dat)
plt.figure(dpi=100)
plt.imshow(eps_data.transpose(), interpolation='spline36', cmap='binary')
plt.imshow(ez_data.transpose(), interpolation='spline36', cmap='Reds', alpha=0.9)
plt.axis('off')
plt.show()
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