/
binary_grating_oblique.py
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/
binary_grating_oblique.py
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import cmath
import math
import numpy as np
import meep as mp
resolution = 50 # pixels/μm
dpml = 1.0 # PML thickness
dsub = 3.0 # substrate thickness
dpad = 3.0 # length of padding between grating and PML
gp = 10.0 # grating period
gh = 0.5 # grating height
gdc = 0.5 # grating duty cycle
sx = dpml + dsub + gh + dpad + dpml
sy = gp
cell_size = mp.Vector3(sx, sy, 0)
pml_layers = [mp.PML(thickness=dpml, direction=mp.X)]
wvl = 0.5 # center wavelength
fcen = 1 / wvl # center frequency
df = 0.05 * fcen # frequency width
ng = 1.5
glass = mp.Medium(index=ng)
use_cw_solver = False # CW solver or time stepping?
tol = 1e-6 # CW solver tolerance
max_iters = 2000 # CW solver max iterations
L = 10 # CW solver L
# rotation angle of incident planewave; counter clockwise (CCW) about Z axis, 0 degrees along +X axis
theta_in = math.radians(10.7)
# k (in source medium) with correct length (plane of incidence: XY)
k = mp.Vector3(fcen * ng).rotate(mp.Vector3(z=1), theta_in)
symmetries = []
eig_parity = mp.ODD_Z
if theta_in == 0:
k = mp.Vector3(0, 0, 0)
symmetries = [mp.Mirror(mp.Y)]
eig_parity += mp.EVEN_Y
def pw_amp(k, x0):
def _pw_amp(x):
return cmath.exp(1j * 2 * math.pi * k.dot(x + x0))
return _pw_amp
src_pt = mp.Vector3(-0.5 * sx + dpml + 0.3 * dsub, 0, 0)
sources = [
mp.Source(
mp.ContinuousSource(fcen, fwidth=df)
if use_cw_solver
else mp.GaussianSource(fcen, fwidth=df),
component=mp.Ez,
center=src_pt,
size=mp.Vector3(0, sy, 0),
amp_func=pw_amp(k, src_pt),
)
]
sim = mp.Simulation(
resolution=resolution,
cell_size=cell_size,
boundary_layers=pml_layers,
k_point=k,
default_material=glass,
sources=sources,
symmetries=symmetries,
)
refl_pt = mp.Vector3(-0.5 * sx + dpml + 0.5 * dsub, 0, 0)
refl_flux = sim.add_flux(
fcen, 0, 1, mp.FluxRegion(center=refl_pt, size=mp.Vector3(0, sy, 0))
)
if use_cw_solver:
sim.init_sim()
sim.solve_cw(tol, max_iters, L)
else:
sim.run(until_after_sources=100)
input_flux = mp.get_fluxes(refl_flux)
input_flux_data = sim.get_flux_data(refl_flux)
sim.reset_meep()
geometry = [
mp.Block(
material=glass,
size=mp.Vector3(dpml + dsub, mp.inf, mp.inf),
center=mp.Vector3(-0.5 * sx + 0.5 * (dpml + dsub), 0, 0),
),
mp.Block(
material=glass,
size=mp.Vector3(gh, gdc * gp, mp.inf),
center=mp.Vector3(-0.5 * sx + dpml + dsub + 0.5 * gh, 0, 0),
),
]
sim = mp.Simulation(
resolution=resolution,
cell_size=cell_size,
boundary_layers=pml_layers,
geometry=geometry,
k_point=k,
sources=sources,
symmetries=symmetries,
)
refl_flux = sim.add_flux(
fcen, 0, 1, mp.FluxRegion(center=refl_pt, size=mp.Vector3(0, sy, 0))
)
sim.load_minus_flux_data(refl_flux, input_flux_data)
tran_pt = mp.Vector3(0.5 * sx - dpml - 0.5 * dpad, 0, 0)
tran_flux = sim.add_flux(
fcen, 0, 1, mp.FluxRegion(center=tran_pt, size=mp.Vector3(0, sy, 0))
)
if use_cw_solver:
sim.init_sim()
sim.solve_cw(tol, max_iters, L)
else:
sim.run(until_after_sources=200)
nm_r = np.floor((fcen * ng - k.y) * gp) - np.ceil(
(-fcen * ng - k.y) * gp
) # number of reflected orders
if theta_in == 0:
nm_r = nm_r / 2 # since eig_parity removes degeneracy in y-direction
nm_r = int(nm_r)
res = sim.get_eigenmode_coefficients(
refl_flux, range(1, nm_r + 1), eig_parity=eig_parity
)
r_coeffs = res.alpha
Rsum = 0
for nm in range(nm_r):
r_kdom = res.kdom[nm]
Rmode = abs(r_coeffs[nm, 0, 1]) ** 2 / input_flux[0]
r_angle = np.sign(r_kdom.y) * math.acos(r_kdom.x / (ng * fcen))
print(f"refl:, {nm:2d}, {math.degrees(r_angle):6.2f}, {Rmode:.8f}")
Rsum += Rmode
nm_t = np.floor((fcen - k.y) * gp) - np.ceil(
(-fcen - k.y) * gp
) # number of transmitted orders
if theta_in == 0:
nm_t = nm_t / 2 # since eig_parity removes degeneracy in y-direction
nm_t = int(nm_t)
res = sim.get_eigenmode_coefficients(
tran_flux, range(1, nm_t + 1), eig_parity=eig_parity
)
t_coeffs = res.alpha
Tsum = 0
for nm in range(nm_t):
t_kdom = res.kdom[nm]
Tmode = abs(t_coeffs[nm, 0, 0]) ** 2 / input_flux[0]
t_angle = np.sign(t_kdom.y) * math.acos(t_kdom.x / fcen)
print(f"tran:, {nm:2d}, {math.degrees(t_angle):6.2f}, {Tmode:.8f}")
Tsum += Tmode
print(f"mode-coeff:, {Rsum:11.6f}, {Tsum:.6f}, {Rsum + Tsum:.6f}")
r_flux = mp.get_fluxes(refl_flux)
t_flux = mp.get_fluxes(tran_flux)
Rflux = -r_flux[0] / input_flux[0]
Tflux = t_flux[0] / input_flux[0]
print(f"poynting-flux:, {Rflux:.6f}, {Tflux:.6f}, {Rflux + Tflux:.6f}")