def test_fields_at_kx(self):
self.sim.k_point = mp.Vector3(3.5)
h = mp.Harminv(mp.Hz, mp.Vector3(0.1234), self.fcen, self.df)
self.sim.run(mp.after_sources(h), until_after_sources=300)
expected = [
(0.19990240131986522, 3.8522735413802275e-8),
(0.3050067740183294, 4.720168254531566e-7),
(0.4396104226078593, 1.6233300291010948e-6),
(0.4582004346509184, 4.7150006592976396e-7),
(0.5006556112859917, -0.0014396635723422887),
(0.7405953267896378, -4.553109069353934e-5),
(0.7627621012715363, -0.006700351645723407),
(0.8243404528365005, -5.174379068176951e-4),
(0.8255990399390389, -0.0016256261502000271),
(0.9494859645499801, -0.005325208458639275),
(0.9726561278186849, -0.0031192234222098274),
(0.9855957702101914, -0.003945157134867143),
]
self.assertTrue(h.modes)
places = 4 if mp.is_single_precision() else 7
for (r, i), m in zip(expected, h.modes):
self.assertAlmostEqual(m.freq, r, places=places)
self.assertAlmostEqual(m.decay, i, places=places)
def main(args):
n = 3.4 # index of waveguide
w = 1 # width of waveguide
r = 1 # inner radius of ring
pad = 4 # padding between waveguide and edge of PML
dpml = 32 # thickness of PML
sr = r + w + pad + dpml # radial size (cell is from 0 to sr)
dimensions = mp.CYLINDRICAL
cell = mp.Vector3(sr, 0, 0)
# in cylindrical coordinates, the phi (angular) dependence of the fields
# is given by exp(i m phi), where m is given by:
m = args.m
geometry = [
mp.Block(center=mp.Vector3(r + (w / 2)),
size=mp.Vector3(w, 1e20, 1e20),
material=mp.Medium(index=n))
]
pml_layers = [mp.PML(dpml)]
resolution = 20
# If we don't want to excite a specific mode symmetry, we can just
# put a single point source at some arbitrary place, pointing in some
# arbitrary direction. We will only look for TM modes (E out of the plane).
fcen = args.fcen # pulse center frequency
df = args.df # pulse frequency width
sources = [
mp.Source(src=mp.GaussianSource(fcen, fwidth=df),
component=mp.Ez,
center=mp.Vector3(r + 0.1))
]
# note that the r -> -r mirror symmetry is exploited automatically
sim = mp.Simulation(cell_size=cell,
geometry=geometry,
boundary_layers=pml_layers,
resolution=resolution,
sources=sources,
dimensions=dimensions,
m=m)
sim.run(mp.after_sources(mp.Harminv(mp.Ez, mp.Vector3(r + 0.1), fcen, df)),
until_after_sources=200)
# Output fields for one period at the end. (If we output
# at a single time, we might accidentally catch the Ez field when it is
# almost zero and get a distorted view.) We'll append the fields
# to a file to get an r-by-t picture. We'll also output from -sr to -sr
# instead of from 0 to sr.
sim.run(mp.in_volume(
mp.Volume(center=mp.Vector3(), size=mp.Vector3(2 * sr)),
mp.at_beginning(mp.output_epsilon),
mp.to_appended("ez", mp.at_every(1 / fcen / 20, mp.output_efield_z))),
until=1 / fcen)
def test_resonant_modes(self):
self.sim.sources = [mp.Source(mp.GaussianSource(self.fcen, fwidth=self.df),
mp.Hz, mp.Vector3())]
self.sim.symmetries = [mp.Mirror(mp.Y, phase=-1),
mp.Mirror(mp.X, phase=-1)]
h = mp.Harminv(mp.Hz, mp.Vector3(), self.fcen, self.df)
self.sim.run(mp.at_beginning(mp.output_epsilon),
mp.after_sources(h),
until_after_sources=400)
expected = [
0.23445415346009466,
-3.147812367338531e-4,
372.40808234438254,
5.8121430334347135,
-3.763107485715599,
-4.429450156854109,
]
m = h.modes[0]
res = [m.freq, m.decay, m.Q, abs(m.amp), m.amp.real, m.amp.imag]
np.testing.assert_allclose(expected, res)
def example_cavity_harminv():
from gdshelpers.parts.waveguide import Waveguide
from shapely.geometry import Point
wg = Waveguide((-6, 0), 0, 1.2)
start_port = wg.current_port
wg.add_straight_segment(6)
center_port = wg.current_port
wg.add_straight_segment(6)
wgs = [Waveguide.make_at_port(port).add_straight_segment(4) for port in
[start_port.inverted_direction, wg.current_port]]
holes = geometric_union(
[Point(x * sign, 0).buffer(.36) for x in [1.4 / 2 + x * 1 for x in range(3)] for sign in [-1, 1]])
sim = Simulation(resolution=20, reduce_to_2d=True, padding=2, pml_thickness=1)
sim.add_structure([wg.get_shapely_object().difference(holes)], wgs, mp.Medium(epsilon=13),
z_min=0, z_max=.33)
sim.add_source(mp.GaussianSource(wavelength=1 / .25, fwidth=.2), mp.Hz, center_port, z=0)
sim.init_sim()
sim.plot(fields=mp.Hz)
mp.simulation.display_run_data = lambda *args, **kwargs: None
harminv = mp.Harminv(mp.Hz, mp.Vector3(), .25, .2)
sim.run(mp.after_sources(harminv._collect_harminv()(harminv.c, harminv.pt)), until_after_sources=300)
sim.plot(fields=mp.Hz)
print(harminv._analyze_harminv(sim.sim, 100))
def main():
geom = a_tapered_cavity()
boundary_layers = get_boundary_layer(sim2d=False)
fcen = 1/1.54
df = 0.1
sources = [mp.Source(mp.GaussianSource(fcen, fwidth=df),
component=mp.Hz,
center=mp.Vector3())]
symmetries = [mp.Mirror(mp.X,+1), mp.Mirror(mp.Y,-1), mp.Mirror(mp.Z,+1)]
sim = mp.Simulation(resolution=30,
cell_size=mp.Vector3(20, 8, 8),
geometry=geom,
boundary_layers=boundary_layers,
sources=sources,
symmetries=symmetries,
progress_interval=100,)
h = mp.Harminv(mp.Hz, mp.Vector3(0, 0, 0), fcen, df)
time_after_source = 500
# Don't output eps anymore to save disk space
sim.run(mp.after_sources(h),
until_after_sources=time_after_source)
visualize_sim_cell(sim)
print("Modal Volume: {}".format(sim.modal_volume_in_box()))
def test_resonant_modes(self):
self.sim.sources = [
mp.Source(mp.GaussianSource(self.fcen, fwidth=self.df), mp.Hz,
mp.Vector3())
]
self.sim.symmetries = [
mp.Mirror(mp.Y, phase=-1),
mp.Mirror(mp.X, phase=-1)
]
h = mp.Harminv(mp.Hz, mp.Vector3(), self.fcen, self.df)
self.sim.run(mp.at_beginning(mp.output_epsilon),
mp.after_sources(h),
until_after_sources=400)
expected = [
0.23445415346009466,
-3.147812367338531e-4,
372.40808234438254,
5.8121430334347135,
-3.763107485715599,
-4.429450156854109,
]
m = h.modes[0]
res = [m.freq, m.decay, m.Q, abs(m.amp), m.amp.real, m.amp.imag]
np.testing.assert_allclose(expected, res)
def run_all(self, time_after_sources=150, nfreq_ldos=200):
self.time_after_sources = time_after_sources
self.nfreq_ldos = nfreq_ldos
self.harminv_instance = mp.Harminv(
mp.Er, mp.Vector3(0, 0, self.source_position + self.shift),
self.fcen, self.df)
self.ldos_instance = mp.Ldos(self.fcen, self.df, self.nfreq_ldos)
self._sim.run(mp.after_sources(self.harminv_instance),
mp.dft_ldos(ldos=self.ldos_instance),
until_after_sources=self.time_after_sources)
self.ldos_results = np.transpose(
np.array([self.ldos_instance.freqs(), self._sim.ldos_data]))
self.q_results = []
for mode in self.harminv_instance.modes:
self.q_results.append(
[1000 / mode.freq, mode.decay, mode.Q,
abs(mode.amp)])
self.q_results = np.array(self.q_results)
self.print_qs()
self.plot_power()
self.plot_ldos()
self.plot_er_field()
def compute_resonant_mode(res):
cell_size = mp.Vector3(1, 1, 0)
rad = 0.301943
fcen = 0.3
df = 0.2 * fcen
sources = [
mp.Source(mp.GaussianSource(fcen, fwidth=df),
component=mp.Hz,
center=mp.Vector3(-0.1057, 0.2094, 0))
]
k_point = mp.Vector3(0.3892, 0.1597, 0)
design_shape = mp.Vector3(1, 1, 0)
design_region_resolution = 50
Nx = int(design_region_resolution * design_shape.x)
Ny = int(design_region_resolution * design_shape.y)
x = np.linspace(-0.5 * design_shape.x, 0.5 * design_shape.x, Nx)
y = np.linspace(-0.5 * design_shape.y, 0.5 * design_shape.y, Ny)
xv, yv = np.meshgrid(x, y)
design_params = np.sqrt(np.square(xv) + np.square(yv)) < rad
filtered_design_params = gaussian_filter(design_params,
sigma=3.0,
output=np.double)
matgrid = mp.MaterialGrid(mp.Vector3(Nx, Ny),
mp.air,
mp.Medium(index=3.5),
weights=filtered_design_params,
do_averaging=True,
beta=1000,
eta=0.5)
geometry = [
mp.Block(center=mp.Vector3(),
size=mp.Vector3(design_shape.x, design_shape.y, 0),
material=matgrid)
]
sim = mp.Simulation(resolution=res,
cell_size=cell_size,
geometry=geometry,
sources=sources,
k_point=k_point)
h = mp.Harminv(mp.Hz, mp.Vector3(0.3718, -0.2076), fcen, df)
sim.run(mp.after_sources(h), until_after_sources=200)
try:
for m in h.modes:
print("harminv:, {}, {}, {}".format(res, m.freq, m.Q))
freq = h.modes[0].freq
except:
print("No resonant modes found.")
sim.reset_meep()
return freq
def check_warnings(sim, h, should_warn=True):
with warnings.catch_warnings(record=True) as w:
warnings.simplefilter("always")
sim.run(mp.after_sources(h), until_after_sources=5)
if should_warn:
self.assertEqual(len(w), 1)
self.assertIn("Harminv", str(w[-1].message))
else:
self.assertEqual(len(w), 0)
def check_warnings(sim, h, should_warn=True):
with warnings.catch_warnings(record=True) as w:
warnings.simplefilter("always")
sim.run(mp.after_sources(h), until_after_sources=5)
if should_warn:
self.assertEqual(len(w), 1)
self.assertIn("Harminv", str(w[-1].message))
else:
self.assertEqual(len(w), 0)
def main(args):
resolution = 200
sxy = 2
dpml = 1
sxy = sxy + 2 * dpml
cell = mp.Vector3(sxy, sxy, 0)
pml_layers = [mp.PML(dpml)]
a = 1
t = 0.1
geometry = [
mp.Block(mp.Vector3(a + 2 * t, a + 2 * t, 1e20),
material=mp.Medium(epsilon=-1e20)),
mp.Block(mp.Vector3(a, a, 1e20), material=mp.Medium(epsilon=1.0))
]
w = args.w
if w > 0:
geometry.append(
mp.Block(center=mp.Vector3(a / 2),
size=mp.Vector3(2 * t, w, 1e20),
material=mp.Medium(epsilon=1.0)))
fcen = math.sqrt(0.5) / a
df = 0.2
sources = [
mp.Source(src=mp.GaussianSource(fcen, fwidth=df),
component=mp.Ez,
center=mp.Vector3())
]
symmetries = [mp.Mirror(mp.Y)]
Th = args.Th
sim = mp.Simulation(cell_size=cell,
geometry=geometry,
boundary_layers=pml_layers,
sources=sources,
symmetries=symmetries,
resolution=resolution)
h = mp.Harminv(mp.Ez, mp.Vector3(), fcen, df)
sim.run(mp.after_sources(h), until_after_sources=Th)
m = h.modes[0]
f = m.freq
Q = m.Q
Vmode = 0.25 * a * a
print("ldos0:, {}".format(Q / Vmode /
(2 * math.pi * f * math.pi * 0.5)))
sim.reset_meep()
T = 2 * Q * (1 / f)
sim.run(mp.dft_ldos(f, 0, 1), until_after_sources=T)
def main(args):
n = 3.4 # index of waveguide
w = 1 # width of waveguide
r = 1 # inner radius of ring
pad = 4 # padding between waveguide and edge of PML
dpml = 32 # thickness of PML
sr = r + w + pad + dpml # radial size (cell is from 0 to sr)
dimensions = mp.CYLINDRICAL
cell = mp.Vector3(sr, 0, 0)
# in cylindrical coordinates, the phi (angular) dependence of the fields
# is given by exp(i m phi), where m is given by:
m = args.m
geometry = [mp.Block(center=mp.Vector3(r + (w / 2)),
size=mp.Vector3(w, mp.inf, mp.inf),
material=mp.Medium(index=n))]
pml_layers = [mp.PML(dpml)]
resolution = 20
# If we don't want to excite a specific mode symmetry, we can just
# put a single point source at some arbitrary place, pointing in some
# arbitrary direction. We will only look for Ez-polarized modes.
fcen = args.fcen # pulse center frequency
df = args.df # pulse frequency width
sources = [mp.Source(src=mp.GaussianSource(fcen, fwidth=df),
component=mp.Ez,
center=mp.Vector3(r + 0.1))]
# note that the r -> -r mirror symmetry is exploited automatically
sim = mp.Simulation(cell_size=cell,
geometry=geometry,
boundary_layers=pml_layers,
resolution=resolution,
sources=sources,
dimensions=dimensions,
m=m)
sim.run(mp.after_sources(mp.Harminv(mp.Ez, mp.Vector3(r + 0.1), fcen, df)),
until_after_sources=200)
# Output fields for one period at the end. (If we output
# at a single time, we might accidentally catch the Ez field when it is
# almost zero and get a distorted view.) We'll append the fields
# to a file to get an r-by-t picture. We'll also output from -sr to -sr
# instead of from 0 to sr.
sim.run(mp.in_volume(mp.Volume(center=mp.Vector3(), size=mp.Vector3(2 * sr)),
mp.at_beginning(mp.output_epsilon),
mp.to_appended("ez", mp.at_every(1 / fcen / 20, mp.output_efield_z))),
until=1 / fcen)
def metal_cavity(w):
resolution = 50
sxy = 2
dpml = 1
sxy = sxy + 2 * dpml
cell = mp.Vector3(sxy, sxy)
pml_layers = [mp.PML(dpml)]
a = 1
t = 0.1
geometry = [
mp.Block(mp.Vector3(a + 2 * t, a + 2 * t, mp.inf), material=mp.metal),
mp.Block(mp.Vector3(a, a, mp.inf), material=mp.air)
]
geometry.append(
mp.Block(center=mp.Vector3(a / 2),
size=mp.Vector3(2 * t, w, mp.inf),
material=mp.air))
fcen = math.sqrt(0.5) / a
df = 0.2
sources = [
mp.Source(src=mp.GaussianSource(fcen, fwidth=df),
component=mp.Ez,
center=mp.Vector3())
]
symmetries = [mp.Mirror(mp.Y)]
sim = mp.Simulation(cell_size=cell,
geometry=geometry,
boundary_layers=pml_layers,
sources=sources,
symmetries=symmetries,
resolution=resolution)
h = mp.Harminv(mp.Ez, mp.Vector3(), fcen, df)
sim.run(mp.after_sources(h), until_after_sources=500)
m = h.modes[0]
f = m.freq
Q = m.Q
Vmode = 0.25 * a * a
ldos_1 = Q / Vmode / (2 * math.pi * f * math.pi * 0.5)
sim.reset_meep()
T = 2 * Q * (1 / f)
sim.run(mp.dft_ldos(f, 0, 1), until_after_sources=T)
ldos_2 = sim.ldos_data[0]
return ldos_1, ldos_2
def main():
n = 3.4 # index of waveguide
r = 1
a = r # inner radius of ring
w = 1 # width of waveguide
b = a + w # outer radius of ring
pad = 4 # padding between waveguide and edge of PML
dpml = 2 # thickness of PML
pml_layers = [mp.PML(dpml)]
resolution = 100
sr = b + pad + dpml # radial size (cell is from 0 to sr)
dimensions = mp.CYLINDRICAL # coordinate system is (r,phi,z) instead of (x,y,z)
cell = mp.Vector3(sr, 0, 0)
m = 4
geometry = [
mp.Block(center=mp.Vector3(a + (w / 2)),
size=mp.Vector3(w, 1e20, 1e20),
material=mp.Medium(index=n))
]
# Finding a resonance mode with a high Q-value (calculated with Harminv)
fcen = 0.15 # pulse center frequency
df = 0.1 # pulse width (in frequency)
sources = [
mp.Source(mp.GaussianSource(fcen, fwidth=df),
mp.Hz,
mp.Vector3(r + 0.1),
amplitude=1)
]
sim = mp.Simulation(cell_size=cell,
geometry=geometry,
boundary_layers=pml_layers,
resolution=resolution,
sources=sources,
dimensions=dimensions,
m=m)
h = mp.Harminv(mp.Hz, mp.Vector3(r + 0.1), fcen, df)
sim.run(mp.after_sources(h), until_after_sources=200)
print(f'Harminv found {len(h.modes)} resonant modes(s).')
for mode in h.modes:
print(f'The resonant mode with f={mode.freq} has Q={mode.Q}')
def main():
# Some parameters to describe the geometry:
eps = 13 # dielectric constant of waveguide
w = 1.2 # width of waveguide
r = 0.36 # radius of holes
# The cell dimensions
sy = 12 # size of cell in y direction (perpendicular to wvg.)
dpml = 1 # PML thickness (y direction only!)
cell = mp.Vector3(1, sy)
b = mp.Block(size=mp.Vector3(mp.inf, w, mp.inf),
material=mp.Medium(epsilon=eps))
c = mp.Cylinder(radius=r)
fcen = 0.25 # pulse center frequency
df = 1.5 # pulse freq. width: large df = short impulse
s = mp.Source(src=mp.GaussianSource(fcen, fwidth=df),
component=mp.Hz,
center=mp.Vector3(0.1234))
sym = mp.Mirror(direction=mp.Y, phase=-1)
sim = mp.Simulation(cell_size=cell,
geometry=[b, c],
sources=[s],
symmetries=[sym],
boundary_layers=[mp.PML(dpml, direction=mp.Y)],
resolution=20)
kx = False # if true, do run at specified kx and get fields
k_interp = 19 # # k-points to interpolate, otherwise
if kx:
sim.k_point = mp.Vector3(kx)
sim.run(mp.at_beginning(mp.output_epsilon),
mp.after_sources(
mp.Harminv(mp.Hz, mp.Vector3(0.1234), fcen, df)),
until_after_sources=300)
sim.run(mp.at_every(1 / fcen / 20, mp.output_hfield_z), until=1 / fcen)
else:
sim.run_k_points(
300, mp.interpolate(k_interp,
[mp.Vector3(), mp.Vector3(0.5)]))
def main(args):
resolution = 200
sxy = 2
dpml = 1
sxy = sxy + 2 * dpml
cell = mp.Vector3(sxy, sxy, 0)
pml_layers = [mp.PML(dpml)]
a = 1
t = 0.1
geometry = [mp.Block(mp.Vector3(a + 2 * t, a + 2 * t, mp.inf), material=mp.metal),
mp.Block(mp.Vector3(a, a, mp.inf), material=mp.air)]
w = args.w
if w > 0:
geometry.append(mp.Block(center=mp.Vector3(a / 2), size=mp.Vector3(2 * t, w, mp.inf),
material=mp.air))
fcen = math.sqrt(0.5) / a
df = 0.2
sources = [mp.Source(src=mp.GaussianSource(fcen, fwidth=df), component=mp.Ez,
center=mp.Vector3())]
symmetries = [mp.Mirror(mp.Y)]
Th = args.Th
sim = mp.Simulation(cell_size=cell,
geometry=geometry,
boundary_layers=pml_layers,
sources=sources,
symmetries=symmetries,
resolution=resolution)
h = mp.Harminv(mp.Ez, mp.Vector3(), fcen, df)
sim.run(mp.after_sources(h), until_after_sources=Th)
m = h.modes[0]
f = m.freq
Q = m.Q
Vmode = 0.25 * a * a
print("ldos0:, {}".format(Q / Vmode / (2 * math.pi * f * math.pi * 0.5)))
sim.reset_meep()
T = 2 * Q * (1 / f)
sim.run(mp.dft_ldos(f, 0, 1), until_after_sources=T)
def test_custom_source(self):
n = 3.4
w = 1
r = 1
pad = 4
dpml = 2
sxy = 2 * (r + w + pad + dpml)
cell = mp.Vector3(sxy, sxy)
geometry = [
mp.Cylinder(r + w, material=mp.Medium(index=n)),
mp.Cylinder(r, material=mp.air)
]
boundary_layers = [mp.PML(dpml)]
resolution = 10
fcen = 0.15
df = 0.1
# Bump function
def my_src_func(t):
if t > 0 and t < 2:
return math.exp(-1 / (1 - ((t - 1)**2)))
return 0j
sources = [
mp.Source(src=mp.CustomSource(src_func=my_src_func, end_time=100),
component=mp.Ez,
center=mp.Vector3(r + 0.1))
]
symmetries = [mp.Mirror(mp.Y)]
sim = mp.Simulation(cell_size=cell,
resolution=resolution,
geometry=geometry,
boundary_layers=boundary_layers,
sources=sources,
symmetries=symmetries)
h = mp.Harminv(mp.Ez, mp.Vector3(r + 0.1), fcen, df)
sim.run(mp.after_sources(h), until_after_sources=200)
fp = sim.get_field_point(mp.Ez, mp.Vector3(1))
self.assertAlmostEqual(fp, -0.021997617628500023 + 0j)
def test_ring_cyl(self):
expected = [
0.11835455441250553,
-6.907792691629741e-4,
85.66741917133473,
0.025701906263451237,
-0.024027038833537524,
-0.009126302124459489,
]
h = mp.Harminv(mp.Ez, mp.Vector3(self.r + 0.1), self.fcen, self.df)
self.sim.run(mp.after_sources(h), until_after_sources=200)
m = h.modes[0]
res = [m.freq, m.decay, m.Q, abs(m.amp), m.amp.real, m.amp.imag]
np.testing.assert_allclose(expected, res)
def find_modes(filename, wvl=1.55, bw=0.05):
# Read in the ring structure
geometry = mp.get_GDSII_prisms(Si, filename, RING_LAYER, -100, 100)
cell = mp.GDSII_vol(filename, SIMULATION_LAYER, zmin, zmax)
src_vol0 = mp.GDSII_vol(filename, SOURCE0_LAYER, zmin, zmax)
src_vol1 = mp.GDSII_vol(filename, SOURCE1_LAYER, zmin, zmax)
mon_vol = mp.GDSII_vol(filename, MONITOR_LAYER, zmin, zmax)
fcen = 1 / wvl
df = bw * fcen
src = [
mp.Source(mp.GaussianSource(fcen, fwidth=df),
component=mp.Hz,
volume=src_vol0),
mp.Source(mp.GaussianSource(fcen, fwidth=df),
component=mp.Hz,
volume=src_vol1,
amplitude=-1)
]
sim = mp.Simulation(cell_size=cell.size,
geometry=geometry,
sources=src,
resolution=resolution,
boundary_layers=[mp.PML(dpml)],
default_material=SiO2)
h = mp.Harminv(mp.Hz, mon_vol.center, fcen, df)
sim.run(mp.after_sources(h), until_after_sources=100)
plt.figure()
sim.plot2D(fields=mp.Hz)
plt.savefig('ring_resonator_Hz.png')
wvl = np.array([1 / m.freq for m in h.modes])
Q = np.array([m.Q for m in h.modes])
sim.reset_meep()
return wvl, Q
def test_harminv(self):
self.init()
self.sim.run(
mp.at_beginning(mp.output_epsilon),
mp.after_sources(self.h),
until_after_sources=300
)
m1, m2, m3 = self.h.modes
self.assertAlmostEqual(m1.freq, 0.118101315147, places=4)
self.assertAlmostEqual(m1.decay, -0.000731513241623, places=4)
self.assertAlmostEqual(abs(m1.amp), 0.00341267634436, places=4)
self.assertAlmostEqual(m1.amp.real, -0.00304951667301, places=4)
self.assertAlmostEqual(m1.amp.imag, -0.00153192946717, places=4)
fp = self.sim.get_field_point(mp.Ez, mp.Vector3(1, 1))
self.assertAlmostEqual(fp, -0.08185972142450348)
def get_q_values(self, time_after_sources=150):
self.time_after_sources = time_after_sources
# get q values at sources
harminv_instance = mp.Harminv(
mp.Er, mp.Vector3(0, 0, self.source_position + self.shift),
self.fcen, self.df)
self._sim.run(mp.after_sources(harminv_instance),
until_after_sources=self.time_after_sources)
self.q_results = []
for mode in harminv_instance.modes:
self.q_results.append(
[1000 / mode.freq, mode.decay, mode.Q,
abs(mode.amp)])
self.q_results = np.array(self.q_results)
self.print_qs()
def test_custom_source(self):
n = 3.4
w = 1
r = 1
pad = 4
dpml = 2
sxy = 2 * (r + w + pad + dpml)
cell = mp.Vector3(sxy, sxy)
geometry = [
mp.Cylinder(r + w, material=mp.Medium(index=n)),
mp.Cylinder(r, material=mp.air)
]
boundary_layers = [mp.PML(dpml)]
resolution = 10
fcen = 0.15
df = 0.1
# Bump function
def my_src_func(t):
if t > 0 and t < 2:
return math.exp(-1 / (1 - ((t - 1)**2)))
return 0j
sources = [mp.Source(src=mp.CustomSource(src_func=my_src_func, end_time=100),
component=mp.Ez, center=mp.Vector3(r + 0.1))]
symmetries = [mp.Mirror(mp.Y)]
sim = mp.Simulation(cell_size=cell,
resolution=resolution,
geometry=geometry,
boundary_layers=boundary_layers,
sources=sources,
symmetries=symmetries)
h = mp.Harminv(mp.Ez, mp.Vector3(r + 0.1), fcen, df)
sim.run(mp.after_sources(h), until_after_sources=200)
fp = sim.get_field_point(mp.Ez, mp.Vector3(1))
self.assertAlmostEqual(fp, -0.021997617628500023 + 0j)
def main():
n = 3.4 # index of waveguide
w = 1 # width of waveguide
r = 1 # inner radius of ring
pad = 4 # padding between waveguide and edge of PML
dpml = 2 # thickness of PML
sxy = 2 * (r + w + pad + dpml) # cell size
# Create a ring waveguide by two overlapping cylinders - later objects
# take precedence over earlier objects, so we put the outer cylinder first.
# and the inner (air) cylinder second.
c1 = mp.Cylinder(radius=r + w, material=mp.Medium(index=n))
c2 = mp.Cylinder(radius=r)
# If we don't want to excite a specific mode symmetry, we can just
# put a single point source at some arbitrary place, pointing in some
# arbitrary direction. We will only look for Ez-polarized modes.
fcen = 0.15 # pulse center frequency
df = 0.1 # pulse width (in frequency)
src = mp.Source(mp.GaussianSource(fcen, fwidth=df), mp.Hz, 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)])
h = mp.Harminv(mp.Ex, mp.Vector3(r + 0.1), fcen, df)
sim.run(mp.after_sources(h), until_after_sources=200)
print(f'Harminv found {len(h.modes)} resonant modes(s).')
for mode in h.modes:
print(f'The resonant mode with f={mode.freq} has Q={mode.Q}')
sim.plot2D(fields=mp.Ex,
field_parameters={'alpha':0.8, 'cmap':'RdBu', 'interpolation':'none'},
boundary_parameters={'hatch':'o', 'linewidth':1.5, 'facecolor':'y', 'edgecolor':'b', 'alpha':0.3})
plt.show()
def main():
n = 3.4 # index of waveguide
w = 1 # width of waveguide
r = 1 # inner radius of ring
pad = 4 # padding between waveguide and edge of PML
dpml = 2 # thickness of PML
sxy = 2 * (r + w + pad + dpml) # cell size
# Create a ring waveguide by two overlapping cylinders - later objects
# take precedence over earlier objects, so we put the outer cylinder first.
# and the inner (air) cylinder second.
c1 = mp.Cylinder(radius=r + w, material=mp.Medium(index=n))
c2 = mp.Cylinder(radius=r)
# If we don't want to excite a specific mode symmetry, we can just
# put a single point source at some arbitrary place, pointing in some
# arbitrary direction. We will only look for Ez-polarized modes.
fcen = 0.15 # pulse center frequency
df = 0.1 # pulse width (in frequency)
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)])
sim.run(
mp.at_beginning(mp.output_epsilon),
mp.after_sources(mp.Harminv(mp.Ez, mp.Vector3(r + 0.1), fcen, df)),
until_after_sources=300
)
# Output fields for one period at the end. (If we output
# at a single time, we might accidentally catch the Ez field when it is
# almost zero and get a distorted view.)
sim.run(mp.at_every((1 / fcen / 20), mp.output_efield_z), until=(1 / fcen))
def main():
n = 3.4 # index of waveguide
w = 1 # width of waveguide
r = 1 # inner radius of ring
pad = 4 # padding between waveguide and edge of PML
dpml = 2 # thickness of PML
sxy = 2*(r+w+pad+dpml) # cell size
# Create a ring waveguide by two overlapping cylinders - later objects
# take precedence over earlier objects, so we put the outer cylinder first.
# and the inner (air) cylinder second.
c1 = mp.Cylinder(radius=r+w, material=mp.Medium(index=n))
c2 = mp.Cylinder(radius=r)
# If we don't want to excite a specific mode symmetry, we can just
# put a single point source at some arbitrary place, pointing in some
# arbitrary direction. We will only look for Ez-polarized modes.
fcen = 0.15 # pulse center frequency
df = 0.1 # pulse width (in frequency)
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)])
sim.run(mp.at_beginning(mp.output_epsilon),
mp.after_sources(mp.Harminv(mp.Ez, mp.Vector3(r+0.1), fcen, df)),
until_after_sources=300)
# Output fields for one period at the end. (If we output
# at a single time, we might accidentally catch the Ez field when it is
# almost zero and get a distorted view.)
sim.run(mp.at_every(1/fcen/20, mp.output_efield_z), until=1/fcen)
def test_harminv(self):
self.init()
self.sim.run(mp.at_beginning(mp.output_epsilon),
mp.after_sources(self.h),
until_after_sources=300)
m1 = self.h.modes[0]
self.assertAlmostEqual(m1.freq, 0.118101315147, places=4)
self.assertAlmostEqual(m1.decay, -0.000731513241623, places=4)
self.assertAlmostEqual(abs(m1.amp), 0.00341267634436, places=4)
self.assertAlmostEqual(m1.amp.real, -0.00304951667301, places=4)
self.assertAlmostEqual(m1.amp.imag, -0.00153192946717, places=3)
v = mp.Vector3(1, 1)
fp = self.sim.get_field_point(mp.Ez, v)
ep = self.sim.get_epsilon_point(v)
places = 5 if mp.is_single_precision() else 7
self.assertAlmostEqual(ep, 11.559999999999999, places=places)
self.assertAlmostEqual(fp, -0.08185972142450348, places=places)
def main(args):
resolution = 20 # 20 pixels per unit 1 um
eps = 80 # epsilon of cylinder medium
Mat1 = mp.Medium(epsilon=eps) # definition of the material
dimensions = mp.CYLINDRICAL
r = args.r # the value of cylinder radius
rl = args.rl # the r/l ration is given, to obtain the l value l=r/rl
x = args.x
dpml = args.dpml
dair = args.dair
m=args.m
w=1*x
h = r/rl # the height of the cylinder
sr = r + dair + dpml
sz = h + 2*dair + 2*dpml
w_max=1.8
w_min=0.2
dw=w_max-w_min
boundary_layers = [mp.PML(dpml)]
Cyl = mp.Cylinder(material=Mat1, radius=r, height=h, center=mp.Vector3(0,0,0)) # make a cylinder with given parameters
geometry = [Cyl]
cell_size = mp.Vector3(sr,0,sz)
#sources = [ mp.Source(mp.ContinuousSource(frequency = w), component=mp.Hz, center=mp.Vector3(r+dair,0,0)) ]
sources = [mp.Source(mp.GaussianSource(w, fwidth=dw), component=mp.Hz, center=mp.Vector3(r+dair,0,0))]
sim = mp.Simulation(resolution=resolution,
cell_size=cell_size,
boundary_layers=boundary_layers,
geometry=geometry,
sources=sources,
dimensions=dimensions,
m=m)
sim.run(mp.in_volume(mp.Volume(center=mp.Vector3(), size=mp.Vector3(sr,0,sz)),
mp.at_end(mp.output_epsilon, mp.output_efield_z)),
mp.after_sources(mp.Harminv(mp.Hz, mp.Vector3(), w, dw)),
until_after_sources=100)
component=mp.Ez,
center=mp.Vector3(r + 0.1))
]
# exploit the mirror symmetry in structure+source:
symmetries = [mp.Mirror(mp.Y)]
sim = mp.Simulation(cell_size=cell,
resolution=resolution,
geometry=geometry,
boundary_layers=pml_layers,
sources=sources,
symmetries=symmetries)
h1 = mp.Harminv(mp.Ez, mp.Vector3(r + 0.1), fcen, df)
sim.run(mp.after_sources(h1), until_after_sources=300)
fields2 = sim.fields
sim.reset_meep()
fcen = 0.236
h2 = mp.Harminv(mp.Ez, mp.Vector3(r + 0.1), fcen, df)
sim.run(mp.after_sources(h2), until_after_sources=300)
def overlap_integral(r, ez1, ez2):
return ez1.conjugate() * ez2
res = sim.integrate2_field_function(fields2, [mp.Ez], [mp.Ez],
overlap_integral)
sim = mp.Simulation(cell_size=cell,
geometry=geometry,
sources=[],
boundary_layers=[mp.PML(dpml)],
resolution=20)
if args.resonant_modes:
sim.sources.append(mp.Source(mp.GaussianSource(fcen, fwidth=df),
component=mp.Hz,
center=mp.Vector3()))
sim.symmetries.append(mp.Mirror(mp.Y, phase=-1))
sim.symmetries.append(mp.Mirror(mp.X, phase=-1))
sim.run(mp.at_beginning(mp.output_epsilon),
mp.after_sources(mp.Harminv(mp.Hz, mp.Vector3(), fcen, df)),
until_after_sources=400)
sim.run(mp.at_every(1 / fcen / 20, mp.output_hfield_z), until=1 / fcen)
else:
sim.sources.append(mp.Source(mp.GaussianSource(fcen, fwidth=df),
component=mp.Ey,
center=mp.Vector3(-0.5 * sx + dpml),
size=mp.Vector3(0, w)))
sim.symmetries.append(mp.Mirror(mp.Y, phase=-1))
freg = mp.FluxRegion(center=mp.Vector3(0.5 * sx - dpml - 0.5),
size=mp.Vector3(0, 2 * w))
# transmitted flux
def main(args):
# Some parameters to describe the geometry:
eps = 13 # dielectric constant of waveguide
w = 1.2 # width of waveguide
r = 0.36 # radius of holes
d = 1.4 # defect spacing (ordinary spacing = 1)
N = args.N # number of holes on either side of defect
# The cell dimensions
sy = args.sy # size of cell in y direction (perpendicular to wvg.)
pad = 2 # padding between last hole and PML edge
dpml = 1 # PML thickness
sx = 2 * (pad + dpml + N) + d - 1 # size of cell in x direction
cell = mp.Vector3(sx, sy, 0)
blk = mp.Block(size=mp.Vector3(mp.inf, w, mp.inf),
material=mp.Medium(epsilon=eps))
geometry = [blk]
for i in range(N):
geometry.append(mp.Cylinder(r, center=mp.Vector3(d / 2 + i)))
geometry.append(mp.Cylinder(r, center=mp.Vector3(-(d / 2 + i))))
fcen = args.fcen # pulse center frequency
df = args.df # pulse frequency width
nfreq = 500 # number of frequencies at which to compute flux
sim = mp.Simulation(cell_size=cell,
geometry=geometry,
sources=[],
boundary_layers=[mp.PML(dpml)],
resolution=20)
if args.resonant_modes:
sim.sources.append(
mp.Source(mp.GaussianSource(fcen, fwidth=df), mp.Hz, mp.Vector3()))
sim.symmetries.append(mp.Mirror(mp.Y, phase=-1))
sim.symmetries.append(mp.Mirror(mp.X, phase=-1))
sim.run( # mp.at_beginning(mp.output_epsilon),
mp.after_sources(mp.Harminv(mp.Hz, mp.Vector3(), fcen, df)),
until_after_sources=400)
# sim.run(mp.at_every(1 / fcen / 20, mp.output_hfield_z), until=1 / fcen)
else:
sim.sources.append(
mp.Source(mp.GaussianSource(fcen, fwidth=df),
mp.Ey,
mp.Vector3(dpml + (-0.5 * sx)),
size=mp.Vector3(0, w)))
sim.symmetries.append(mp.Mirror(mp.Y, phase=-1))
freg = mp.FluxRegion(center=mp.Vector3((0.5 * sx) - dpml - 0.5),
size=mp.Vector3(0, 2 * w))
# transmitted flux
trans = sim.add_flux(fcen, df, nfreq, freg)
vol = mp.Volume(mp.Vector3(), size=mp.Vector3(sx))
sim.run(mp.at_beginning(mp.output_epsilon),
mp.during_sources(
mp.in_volume(
vol,
mp.to_appended("hz-slice",
mp.at_every(0.4, mp.output_hfield_z)))),
until_after_sources=mp.stop_when_fields_decayed(
50, mp.Ey, mp.Vector3((0.5 * sx) - dpml - 0.5, 0), 1e-3))
sim.display_fluxes(trans) # print out the flux spectrum
def parallel_waveguide(s,xodd):
geometry = [mp.Block(center=mp.Vector3(-0.5*(s+a)),
size=mp.Vector3(a,a,mp.inf),
material=Si),
mp.Block(center=mp.Vector3(0.5*(s+a)),
size=mp.Vector3(a,a,mp.inf),
material=Si)]
symmetries = [mp.Mirror(mp.X, phase=-1.0 if xodd else 1.0),
mp.Mirror(mp.Y, phase=-1.0)]
sources = [mp.Source(src=mp.GaussianSource(fcen, fwidth=df),
component=mp.Ey,
center=mp.Vector3(-0.5*(s+a)),
size=mp.Vector3(a,a)),
mp.Source(src=mp.GaussianSource(fcen, fwidth=df),
component=mp.Ey,
center=mp.Vector3(0.5*(s+a)),
size=mp.Vector3(a,a),
amplitude=-1.0 if xodd else 1.0)]
sim = mp.Simulation(resolution=resolution,
cell_size=cell,
boundary_layers=pml_layers,
geometry=geometry,
symmetries=symmetries,
k_point=k_point,
sources=sources)
h = mp.Harminv(mp.Ey, mp.Vector3(0.5*(s+a)), fcen, df)
sim.run(mp.after_sources(h), until_after_sources=200)
f = h.modes[0].freq
print("freq:, {}, {}".format(s, f))
sim.reset_meep()
eig_sources = [mp.EigenModeSource(src=mp.GaussianSource(f, fwidth=df),
size=mp.Vector3(a,a),
center=mp.Vector3(-0.5*(s+a)),
eig_kpoint=k_point,
eig_match_freq=True,
eig_parity=mp.ODD_Y),
mp.EigenModeSource(src=mp.GaussianSource(f, fwidth=df),
size=mp.Vector3(a,a),
center=mp.Vector3(0.5*(s+a)),
eig_kpoint=k_point,
eig_match_freq=True,
eig_parity=mp.ODD_Y,
amplitude=-1.0 if xodd else 1.0)]
sim.change_sources(eig_sources)
flux_reg = mp.FluxRegion(direction=mp.Z, center=mp.Vector3(), size=mp.Vector3(1.2*(2*a+s),1.2*a))
wvg_flux = sim.add_flux(f, 0, 1, flux_reg)
force_reg1 = mp.ForceRegion(mp.Vector3(0.5*s), direction=mp.X, weight=1.0, size=mp.Vector3(y=a))
force_reg2 = mp.ForceRegion(mp.Vector3(0.5*s+a), direction=mp.X, weight=-1.0, size=mp.Vector3(y=a))
wvg_force = sim.add_force(f, 0, 1, force_reg1, force_reg2)
sim.run(until_after_sources=5000)
flux = mp.get_fluxes(wvg_flux)[0]
force = mp.get_forces(wvg_force)[0]
sim.reset_meep()
return flux, force
def main(args):
resolution = 20 # pixels/um
eps = 13 # dielectric constant of waveguide
w = 1.2 # width of waveguide
r = 0.36 # radius of holes
d = 1.4 # defect spacing (ordinary spacing = 1)
N = args.N # number of holes on either side of defect
sy = args.sy # size of cell in y direction (perpendicular to wvg.)
pad = 2 # padding between last hole and PML edge
dpml = 1 # PML thickness
sx = 2*(pad+dpml+N)+d-1 # size of cell in x direction
cell = mp.Vector3(sx,sy,0)
blk = mp.Block(size=mp.Vector3(mp.inf,w,mp.inf),
material=mp.Medium(epsilon=eps))
geometry = [blk]
for i in range(N):
geometry.append(mp.Cylinder(r, center=mp.Vector3(d/2+i)))
geometry.append(mp.Cylinder(r, center=mp.Vector3(-(d/2+i))))
fcen = args.fcen # pulse center frequency
df = args.df # pulse frequency width
nfreq = 500 # number of frequencies at which to compute flux
sim = mp.Simulation(cell_size=cell,
geometry=geometry,
sources=[],
boundary_layers=[mp.PML(dpml)],
resolution=20)
if args.resonant_modes:
sim.sources.append(mp.Source(mp.GaussianSource(fcen, fwidth=df),
component=mp.Hz,
center=mp.Vector3()))
sim.symmetries.append(mp.Mirror(mp.Y, phase=-1))
sim.symmetries.append(mp.Mirror(mp.X, phase=-1))
sim.run(mp.at_beginning(mp.output_epsilon),
mp.after_sources(mp.Harminv(mp.Hz, mp.Vector3(), fcen, df)),
until_after_sources=400)
sim.run(mp.at_every(1/fcen/20, mp.output_hfield_z), until=1/fcen)
else:
sim.sources.append(mp.Source(mp.GaussianSource(fcen, fwidth=df),
component=mp.Ey,
center=mp.Vector3(-0.5*sx+dpml),
size=mp.Vector3(0,w)))
sim.symmetries.append(mp.Mirror(mp.Y, phase=-1))
freg = mp.FluxRegion(center=mp.Vector3(0.5*sx-dpml-0.5),
size=mp.Vector3(0,2*w))
# transmitted flux
trans = sim.add_flux(fcen, df, nfreq, freg)
vol = mp.Volume(mp.Vector3(), size=mp.Vector3(sx))
sim.run(mp.at_beginning(mp.output_epsilon),
mp.during_sources(mp.in_volume(vol, mp.to_appended("hz-slice", mp.at_every(0.4, mp.output_hfield_z)))),
until_after_sources=mp.stop_when_fields_decayed(50, mp.Ey, mp.Vector3(0.5*sx-dpml-0.5), 1e-3))
sim.display_fluxes(trans) # print out the flux spectrum
def main(args):
resolution = 30 # pixels/μm
Si = mp.Medium(index=3.45)
dpml = 1.0
pml_layers = [mp.PML(dpml)]
sx = 5
sy = 3
cell = mp.Vector3(sx+2*dpml,sy+2*dpml,0)
a = 1.0 # waveguide width
s = args.s # waveguide separation distance
geometry = [mp.Block(center=mp.Vector3(-0.5*(s+a)),
size=mp.Vector3(a,a,mp.inf),
material=Si),
mp.Block(center=mp.Vector3(0.5*(s+a)),
size=mp.Vector3(a,a,mp.inf),
material=Si)]
xodd = args.xodd
symmetries = [mp.Mirror(mp.X, phase=-1.0 if xodd else 1.0),
mp.Mirror(mp.Y, phase=-1.0)]
k_point = mp.Vector3(z=0.5)
fcen = 0.22
df = 0.06
sources = [mp.Source(src=mp.GaussianSource(fcen, fwidth=df),
component=mp.Ey,
center=mp.Vector3(-0.5*(s+a)),
size=mp.Vector3(a,a)),
mp.Source(src=mp.GaussianSource(fcen, fwidth=df),
component=mp.Ey,
center=mp.Vector3(0.5*(s+a)),
size=mp.Vector3(a,a),
amplitude=-1.0 if xodd else 1.0)]
sim = mp.Simulation(resolution=resolution,
cell_size=cell,
boundary_layers=pml_layers,
geometry=geometry,
symmetries=symmetries,
k_point=k_point,
sources=sources)
h = mp.Harminv(mp.Ey, mp.Vector3(0.5*(s+a)), fcen, df)
sim.run(mp.after_sources(h), until_after_sources=200)
f = h.modes[0].freq
print("freq:, {}, {}".format(s, f))
sim.reset_meep()
eig_sources = [mp.EigenModeSource(src=mp.GaussianSource(f, fwidth=df),
size=mp.Vector3(a,a),
center=mp.Vector3(-0.5*(s+a)),
eig_kpoint=k_point,
eig_match_freq=True,
eig_parity=mp.ODD_Y),
mp.EigenModeSource(src=mp.GaussianSource(f, fwidth=df),
size=mp.Vector3(a,a),
center=mp.Vector3(0.5*(s+a)),
eig_kpoint=k_point,
eig_match_freq=True,
eig_parity=mp.ODD_Y,
amplitude=-1.0 if xodd else 1.0)]
sim.change_sources(eig_sources)
flux_reg = mp.FluxRegion(direction=mp.Z, center=mp.Vector3(), size=mp.Vector3(1.2*(2*a+s),1.2*a))
wvg_flux = sim.add_flux(f, 0, 1, flux_reg)
force_reg1 = mp.ForceRegion(mp.Vector3(0.5*s), direction=mp.X, weight=1.0, size=mp.Vector3(y=a))
force_reg2 = mp.ForceRegion(mp.Vector3(0.5*s+a), direction=mp.X, weight=-1.0, size=mp.Vector3(y=a))
wvg_force = sim.add_force(f, 0, 1, force_reg1, force_reg2)
sim.run(until_after_sources=5000)
sim.display_fluxes(wvg_flux)
sim.display_forces(wvg_force)
fcen = 0.15 # pulse center frequency
df = 0.1 # pulse frequency width
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,
boundary_layers=[mp.PML(dpml)])
plt.figure(dpi=150)
sim.plot2D()
plt.savefig('structureBox.png')
sim.run(mp.at_beginning(mp.output_epsilon),
mp.after_sources(mp.Harminv(mp.Ez, mp.Vector3(r + 0.1), fcen, df)),
until_after_sources=300)
sim.reset_meep()
fcen = 0.118
df = 0.1
sim.sources = [
mp.Source(mp.GaussianSource(fcen, fwidth=df), mp.Ez, mp.Vector3(r + 0.1))
]
# Start the simulation and get into steady state
sim.run(until=600)
# Prepare the animator and record the steady state response
f = plt.figure(dpi=150)
Animate = mp.Animate2D(sim, fields=mp.Ez, f=f, realtime=False, normalize=True)
def parallel_waveguide(s, xodd):
geometry = [
mp.Block(center=mp.Vector3(-0.5 * (s + a)),
size=mp.Vector3(a, a, mp.inf),
material=Si),
mp.Block(center=mp.Vector3(0.5 * (s + a)),
size=mp.Vector3(a, a, mp.inf),
material=Si)
]
symmetries = [
mp.Mirror(mp.X, phase=-1.0 if xodd else 1.0),
mp.Mirror(mp.Y, phase=-1.0)
]
sources = [
mp.Source(src=mp.GaussianSource(fcen, fwidth=df),
component=mp.Ey,
center=mp.Vector3(-0.5 * (s + a)),
size=mp.Vector3(a, a)),
mp.Source(src=mp.GaussianSource(fcen, fwidth=df),
component=mp.Ey,
center=mp.Vector3(0.5 * (s + a)),
size=mp.Vector3(a, a),
amplitude=-1.0 if xodd else 1.0)
]
sim = mp.Simulation(resolution=resolution,
cell_size=cell,
boundary_layers=pml_layers,
geometry=geometry,
symmetries=symmetries,
k_point=k_point,
sources=sources)
h = mp.Harminv(mp.Ey, mp.Vector3(0.5 * (s + a)), fcen, df)
sim.run(mp.after_sources(h), until_after_sources=200)
f = h.modes[0].freq
print("freq:, {}, {}".format(s, f))
sim.reset_meep()
eig_sources = [
mp.EigenModeSource(src=mp.GaussianSource(f, fwidth=df),
size=mp.Vector3(a, a),
center=mp.Vector3(-0.5 * (s + a)),
direction=mp.Z,
eig_kpoint=k_point,
eig_match_freq=True,
eig_parity=mp.ODD_Y),
mp.EigenModeSource(src=mp.GaussianSource(f, fwidth=df),
size=mp.Vector3(a, a),
center=mp.Vector3(0.5 * (s + a)),
direction=mp.Z,
eig_kpoint=k_point,
eig_match_freq=True,
eig_parity=mp.ODD_Y,
amplitude=-1.0 if xodd else 1.0)
]
sim.change_sources(eig_sources)
flux_reg = mp.FluxRegion(direction=mp.Z,
center=mp.Vector3(),
size=mp.Vector3(1.2 * (2 * a + s), 1.2 * a))
wvg_flux = sim.add_flux(f, 0, 1, flux_reg)
force_reg1 = mp.ForceRegion(mp.Vector3(0.5 * s),
direction=mp.X,
weight=1.0,
size=mp.Vector3(y=a))
force_reg2 = mp.ForceRegion(mp.Vector3(0.5 * s + a),
direction=mp.X,
weight=-1.0,
size=mp.Vector3(y=a))
wvg_force = sim.add_force(f, 0, 1, force_reg1, force_reg2)
sim.run(until_after_sources=5000)
flux = mp.get_fluxes(wvg_flux)[0]
force = mp.get_forces(wvg_force)[0]
sim.reset_meep()
return flux, force
def main():
n = 3.4 # index of waveguide
r = 1
a = r # inner radius of ring
w = 1 # width of waveguide
b = a + w # outer radius of ring
pad = 4 # padding between waveguide and edge of PML
dpml = 2 # thickness of PML
pml_layers = [mp.PML(dpml)]
resolution = 100
sr = b + pad + dpml # radial size (cell is from 0 to sr)
dimensions = mp.CYLINDRICAL # coordinate system is (r,phi,z) instead of (x,y,z)
cell = mp.Vector3(sr, 0, 0)
m = 4
geometry = [
mp.Block(center=mp.Vector3(a + (w / 2)),
size=mp.Vector3(w, 1e20, 1e20),
material=mp.Medium(index=n))
]
# Finding a resonance mode with a high Q-value (calculated with Harminv)
fcen = 0.15 # pulse center frequency
df = 0.1 # pulse width (in frequency)
sources = [
mp.Source(mp.GaussianSource(fcen, fwidth=df),
mp.Hz,
mp.Vector3(r + 0.1),
amplitude=1)
]
sim = mp.Simulation(cell_size=cell,
geometry=geometry,
boundary_layers=pml_layers,
resolution=resolution,
sources=sources,
dimensions=dimensions,
m=m)
h = mp.Harminv(mp.Hz, mp.Vector3(r + 0.1), fcen, df)
sim.run(mp.after_sources(h), until_after_sources=200)
Harminv_freq_at_R = h.modes[0].freq
sim.reset_meep()
# now running the simulation that will be used with perturbation theory to calculate dw/dR
fcen = Harminv_freq_at_R
df = 0.01
sources = [
mp.Source(mp.GaussianSource(fcen, fwidth=df),
mp.Hz,
mp.Vector3(r + 0.1),
amplitude=1)
]
sim = mp.Simulation(cell_size=cell,
geometry=geometry,
boundary_layers=pml_layers,
resolution=resolution,
sources=sources,
dimensions=dimensions,
m=m)
sim.run(until_after_sources=200)
# now need to calculate the surface integrals that go into dw/dR. Fields parallel and perpendicular to the interface
# AND at the inner and outer surfaces are treated differently, so each will be calculated separately.
# section for fields at inner surface
npts_inner = 10
angles_inner = 2 * np.pi / npts_inner * np.arange(npts_inner)
deps_inner = 1 - n**2
deps_inv_inner = 1 - 1 / (n**2)
# section for fields parallel to interface (Ez and Ep)
parallel_fields_inner = []
for angle in angles_inner:
point = mp.Vector3(a, angle)
e_z_field = abs(sim.get_field_point(mp.Ez, point))**2
e_p_field = abs(sim.get_field_point(mp.Ep, point))**2
e_parallel_field = e_z_field + e_p_field
# fields have to be multiplied by Δε
e_parallel_field = deps_inner * e_parallel_field
parallel_fields_inner.append(e_parallel_field)
# section for fields perpendicular to interface (Er)
perpendicular_fields_inner = []
for angle in angles_inner:
point = mp.Vector3(a, angle)
e_r_field = abs(sim.get_field_point(mp.Er, point))**2
e_perpendicular_field = e_r_field
# fields have to be multiplied by Δ(1/ε) and ε**2
e_perpendicular_field = deps_inv_inner * (abs(
sim.get_epsilon_point(point, Harminv_freq_at_R))**
2) * e_perpendicular_field
perpendicular_fields_inner.append(e_perpendicular_field)
# section for fields at outer surface
npts_outer = npts_inner
angles_outer = 2 * np.pi / npts_outer * np.arange(npts_outer)
deps_outer = n**2 - 1
deps_inv_outer = -1 + 1 / (n**2)
# section for fields parallel to interface (Ez and Ep) parallel_fields_outer = []
parallel_fields_outer = []
for angle in angles_outer:
point = mp.Vector3(b, angle)
e_z_field = abs(sim.get_field_point(mp.Ez, point))**2
e_p_field = abs(sim.get_field_point(mp.Ep, point))**2
e_parallel_field = e_z_field + e_p_field
# fields have to be multiplied by Δε
e_parallel_field = deps_outer * e_parallel_field
parallel_fields_outer.append(e_parallel_field)
# section for fields perpendicular to interface (Er)
perpendicular_fields_outer = []
for angle in angles_inner:
point = mp.Vector3(b, angle)
e_r_field = abs(sim.get_field_point(mp.Er, point))
e_perpendicular_field = e_r_field**2
# fields have to be multiplied by Δ(1/ε) and ε**2
e_perpendicular_field = deps_inv_outer * (abs(
sim.get_epsilon_point(point, Harminv_freq_at_R))**
2) * e_perpendicular_field
perpendicular_fields_outer.append(e_perpendicular_field)
numerator_surface_integral = 2 * np.pi * b * (
mean([mean(parallel_fields_inner),
mean(parallel_fields_outer)]) - mean([
mean(perpendicular_fields_inner),
mean(perpendicular_fields_outer)
]))
denominator_surface_integral = sim.electric_energy_in_box(
center=mp.Vector3((b + pad / 2) / 2), size=mp.Vector3(b + pad / 2))
perturb_theory_dw_dR = -Harminv_freq_at_R * numerator_surface_integral / (
4 * denominator_surface_integral)
center_diff_dw_dR = []
Harminv_freqs_at_R_plus_dR = []
drs = np.logspace(start=-3, stop=-1, num=10)
for dr in drs:
sim.reset_meep()
w = 1 + dr # width of waveguide
b = a + w
print(f'The current dr is dr={dr}')
if len(Harminv_freqs_at_R_plus_dR) == 0:
fcen = Harminv_freq_at_R
else:
fcen = Harminv_freqs_at_R_plus_dR[-1]
df = 0.01
sources = [
mp.Source(mp.GaussianSource(fcen, fwidth=df), mp.Hz,
mp.Vector3(r + 0.1))
]
geometry = [
mp.Block(center=mp.Vector3(a + (w / 2)),
size=mp.Vector3(w, 1e20, 1e20),
material=mp.Medium(index=n))
]
sim = mp.Simulation(cell_size=cell,
geometry=geometry,
boundary_layers=pml_layers,
resolution=resolution,
sources=sources,
dimensions=dimensions,
m=m)
h = mp.Harminv(mp.Hz, mp.Vector3(r + 0.1), fcen, df)
sim.run(mp.after_sources(h), until_after_sources=200)
Harminv_freq_at_R_plus_dR = h.modes[0].freq
Harminv_freqs_at_R_plus_dR.append(Harminv_freq_at_R_plus_dR)
dw_dR = (Harminv_freq_at_R_plus_dR - Harminv_freq_at_R) / dr
center_diff_dw_dR.append(dw_dR)
relative_errors_dw_dR = [
abs((dw_dR - perturb_theory_dw_dR) / dw_dR)
for dw_dR in center_diff_dw_dR
]
perturb_predicted_freqs_at_R_plus_dR = [
dr * perturb_theory_dw_dR + Harminv_freq_at_R for dr in drs
]
relative_errors_freqs_at_R_plus_dR = [
abs((perturb_predicted_freqs_at_R_plus_dR[i] -
Harminv_freqs_at_R_plus_dR[i]) / Harminv_freqs_at_R_plus_dR[i])
for i in range(len(Harminv_freqs_at_R_plus_dR))
]
if mp.am_master():
plt.figure(dpi=150)
plt.loglog(drs, relative_errors_dw_dR, 'bo-', label='relative error')
plt.grid(True, which='both', ls='-')
plt.xlabel('perturbation amount $dr$')
plt.ylabel('relative error between $dω/dR$')
plt.legend(loc='upper right')
plt.title(
'Comparison of Perturbation Theory and \nCenter-Difference Calculations in Finding $dω/dR$'
)
plt.tight_layout()
# plt.show()
plt.savefig('ring_Hz_perturbation_theory.dw_dR_error.png')
plt.clf()
plt.figure(dpi=150)
plt.loglog(drs,
relative_errors_freqs_at_R_plus_dR,
'bo-',
label='relative error')
plt.grid(True, which='both', ls='-')
plt.xlabel('perturbation amount $dr$')
plt.ylabel('relative error between $ω(R+dR)$')
plt.legend(loc='upper left')
plt.title(
'Comparison of resonance frequencies at $R+dR$ predicted by\nperturbation theory and found with Harminv'
)
plt.tight_layout()
# plt.show()
plt.savefig('ring_Hz_perturbation_theory.freqs_error.png')
plt.clf()
def main(args):
resolution = 30 # pixels/μm
Si = mp.Medium(index=3.45)
dpml = 1.0
pml_layers = [mp.PML(dpml)]
sx = 5
sy = 3
cell = mp.Vector3(sx + 2 * dpml, sy + 2 * dpml, 0)
a = 1.0 # waveguide width
s = args.s # waveguide separation distance
geometry = [
mp.Block(center=mp.Vector3(-0.5 * (s + a)),
size=mp.Vector3(a, a, mp.inf),
material=Si),
mp.Block(center=mp.Vector3(0.5 * (s + a)),
size=mp.Vector3(a, a, mp.inf),
material=Si)
]
xodd = args.xodd
symmetries = [
mp.Mirror(mp.X, phase=-1.0 if xodd else 1.0),
mp.Mirror(mp.Y, phase=-1.0)
]
k_point = mp.Vector3(z=0.5)
fcen = 0.22
df = 0.06
sources = [
mp.Source(src=mp.GaussianSource(fcen, fwidth=df),
component=mp.Ey,
center=mp.Vector3(-0.5 * (s + a)),
size=mp.Vector3(a, a)),
mp.Source(src=mp.GaussianSource(fcen, fwidth=df),
component=mp.Ey,
center=mp.Vector3(0.5 * (s + a)),
size=mp.Vector3(a, a),
amplitude=-1.0 if xodd else 1.0)
]
sim = mp.Simulation(resolution=resolution,
cell_size=cell,
boundary_layers=pml_layers,
geometry=geometry,
symmetries=symmetries,
k_point=k_point,
sources=sources)
h = mp.Harminv(mp.Ey, mp.Vector3(0.5 * (s + a)), fcen, df)
sim.run(mp.after_sources(h), until_after_sources=200)
f = h.modes[0].freq
print("freq:, {}, {}".format(s, f))
sim.reset_meep()
eig_sources = [
mp.EigenModeSource(src=mp.GaussianSource(f, fwidth=df),
size=mp.Vector3(a, a),
center=mp.Vector3(-0.5 * (s + a)),
eig_kpoint=k_point,
eig_match_freq=True,
eig_parity=mp.ODD_Y),
mp.EigenModeSource(src=mp.GaussianSource(f, fwidth=df),
size=mp.Vector3(a, a),
center=mp.Vector3(0.5 * (s + a)),
eig_kpoint=k_point,
eig_match_freq=True,
eig_parity=mp.ODD_Y,
amplitude=-1.0 if xodd else 1.0)
]
sim.change_sources(eig_sources)
flux_reg = mp.FluxRegion(direction=mp.Z,
center=mp.Vector3(),
size=mp.Vector3(1.2 * (2 * a + s), 1.2 * a))
wvg_flux = sim.add_flux(f, 0, 1, flux_reg)
force_reg1 = mp.ForceRegion(mp.Vector3(0.5 * s),
direction=mp.X,
weight=1.0,
size=mp.Vector3(y=a))
force_reg2 = mp.ForceRegion(mp.Vector3(0.5 * s + a),
direction=mp.X,
weight=-1.0,
size=mp.Vector3(y=a))
wvg_force = sim.add_force(f, 0, 1, force_reg1, force_reg2)
sim.run(until_after_sources=5000)
sim.display_fluxes(wvg_flux)
sim.display_forces(wvg_force)
resolution=10,
symmetries=[mp.Mirror(mp.Y)],
boundary_layers=[mp.PML(dpml)],
filename_prefix=prefix)
h = mp.Harminv(mp.Ez, mp.Vector3(r + 0.1), fcen, df)
if not os.path.isdir(path):
sav.new_dir(path)
os.chdir(path)
#%% SIMULATION: FREQUENCY
start = time()
sim.run(mp.at_beginning(mp.output_epsilon),
mp.after_sources(h),
until_after_sources=300)
end = time()
print("Enlapsed time: {:.2f}".format(end - start))
#%% SIMULATION: FIELDS
freqs = [h.modes[i][0] for i in range(len(h.modes))]
label = lambda w: "Freq-{:.3f}".format(w)
path_freqs = []
start = [start, time()]
for i, w in enumerate(freqs):
sim.reset_meep()
simulation.load_minus_flux_data(reflectionFluxMonitor, incidentFluxToSubtract)
def updateField(sim):
global fieldData
fieldEx = np.real(
sim.get_array(center=mp.Vector3(0, 0, 0),
size=cellSize,
component=mp.Ex))
fieldData = np.vstack((fieldData, fieldEx))
simulation.run(
#mp.at_every(animationTimestepDuration, updateField),
mp.after_sources(
mp.Harminv(mp.Ex, mp.Vector3(0, 0, layerCenters[10]), frequency,
frequencyWidth)),
until_after_sources=400)
incidentFlux = np.array(mp.get_fluxes(incidentFluxMonitor))
transmittedFlux = np.array(mp.get_fluxes(transmissionFluxMonitor))
reflectedFlux = np.array(mp.get_fluxes(reflectionFluxMonitor))
R = -reflectedFlux / incidentFlux
T = transmittedFlux / incidentFlux
#print(T)
#print(R)
#print(R + T)
#frequencies = np.array(mp.get_flux_freqs(reflectionFluxMonitor))
#reflectionSpectraFigure = plt.figure()
#reflectionSpectraAxes = plt.axes(xlim=(frequency-frequencyWidth/2, frequency+frequencyWidth/2),ylim=(0, 1))
df = 0.010 # pulse width (in frequency)
sources = [mp.Source(src=mp.GaussianSource(fcen, fwidth=df), component=mp.Ez,
center=mp.Vector3(r + 0.1))]
# exploit the mirror symmetry in structure+source:
symmetries = [mp.Mirror(mp.Y)]
sim = mp.Simulation(cell_size=cell,
resolution=resolution,
geometry=geometry,
boundary_layers=pml_layers,
sources=sources,
symmetries=symmetries)
h1 = mp.Harminv(mp.Ez, mp.Vector3(r + 0.1), fcen, df)
sim.run(mp.after_sources(h1), until_after_sources=300)
fields2 = sim.fields
sim.reset_meep()
fcen = 0.236
h2 = mp.Harminv(mp.Ez, mp.Vector3(r + 0.1), fcen, df)
sim.run(mp.after_sources(h2), until_after_sources=300)
def overlap_integral(r, ez1, ez2):
return ez1.conjugate() * ez2
res = sim.integrate2_field_function(fields2, [mp.Ez], [mp.Ez], overlap_integral)
print("overlap integral of mode at w and 2w: {}".format(abs(res)))
