def __init__(self, comment="", simtime=100e-15, resolution=5e-9, cellnumber=1, padding=2e-6, cellsize = 200e-9,
epsilon=33.97, blend=0, **other_args):
""" This structure demonstrates that scatter.py can also compute the reflectance and transmittance of samples on
a substrate. The substrate is though to have effectively infinite thickness, since its back interface is not
included in the simulation volume. It is assumed that with thick enough substrate there will be no Fabry-Perot
interferences arising from the
reflection from its back side, so this kind of simulation can not predict them.
The monitor planes can also be placed inside a dielectric, to enable the transmitted wave amplitude to be sensed
in the substrate medium. In this case the measured waveforms are
rescaled so that the transmitted energy is returned the same as if measured after reflection-less transition to vacuum.
This way, reflectance*2+transmittance*+losses still sum up to one.
This example also demonstrates that on a steep interface with air the transmitted and reflected waves have
exactly the same energy with the choice of permittivity: ((1+.5**.5)/(1-.5**.5))**2, that is roughly 33.97.
"""
meep_utils.AbstractMeepModel.__init__(self) ## Base class initialisation
## Constant parameters for the simulation
self.simulation_name = "HalfSpace"
self.src_freq, self.src_width = 500e12, 1000e12 # [Hz] (note: gaussian source ends at t=10/src_width)
self.interesting_frequencies = (10e12, 1000e12) # Which frequencies will be saved to disk
self.pml_thickness = 500e-9
self.size_z = blend + 4*padding + 2*self.pml_thickness + 6*resolution
self.size_x = resolution*1.8 if other_args.get('Kx',0)==0 else resolution*5 ## allow some space along x if oblique incidence is set
self.size_y = resolution*1.8 if other_args.get('Ky',0)==0 else resolution*5 ## dtto
print 'self.size_x, self.size_y', self.size_x, self.size_y
self.monitor_z1, self.monitor_z2 = (-padding-blend/2, padding+blend/2)
self.register_locals(locals(), other_args) ## Remember the parameters
self.mon2eps = epsilon ## store what dielectric is the second monitor embedded in
## Define materials
self.materials = []
if 'Au' in comment: self.materials += [meep_materials.material_Au(where=self.where_m)]
elif 'Ag' in comment: self.materials += [meep_materials.material_Ag(where=self.where_m)]
elif 'metal' in comment.lower():
self.materials += [meep_materials.material_Au(where=self.where_m)]
self.materials[-1].pol[1:] = []
self.materials[-1].pol[0]['gamma'] = 0
else: self.materials += [meep_materials.material_dielectric(where=self.where_m, eps=self.epsilon)]
for m in self.materials:
self.fix_material_stability(m, f_c=3e15) ## rm all osc above the first one, to optimize for speed
## Test the validity of the model
meep_utils.plot_eps(self.materials, plot_conductivity=True,
draw_instability_area=(self.f_c(), 3*meep.use_Courant()**2), mark_freq={self.f_c():'$f_c$'})
self.test_materials()
def __init__(self, comment="", simtime=100e-15, resolution=5e-9, cellnumber=1, padding=2e-6, cellsize = 200e-9,
epsilon=33.97, blend=0, **other_args):
""" This structure demonstrates that scatter.py can also compute the reflectance and transmittance of samples on
a substrate. The substrate can have an infinite thickness, since its back interface is not included in the simulation
volume. It is assumed that with thick enough substrate there will be no Fabry-Perot interferences due to reflection from
its back side; this kind simulation can not predict them.
The monitor planes can also be placed inside a dielectric. In this case the measured waveforms are
rescaled so that the transmitted energy is returned the same as if measured after reflection-less transition to vacuum.
This way, reflectance*2+transmittance*+losses still sum up to one.
This example also demonstrates that on a steep interface with air the transmitted and reflected waves have
exactly the same energy with the choice of permittivity: ((1+.5**.5)/(1-.5**.5))**2, that is roughly 33.97.
"""
meep_utils.AbstractMeepModel.__init__(self) ## Base class initialisation
## Constant parameters for the simulation
self.simulation_name = "HalfSpace"
self.src_freq, self.src_width = 500e12, 1000e12 # [Hz] (note: gaussian source ends at t=10/src_width)
self.interesting_frequencies = (10e12, 1000e12) # Which frequencies will be saved to disk
self.pml_thickness = 500e-9
self.size_z = blend + 4*padding + 2*self.pml_thickness + 6*resolution
self.size_x = resolution*1.8 if other_args.get('Kx',0)==0 else resolution*5 ## allow some space along x if oblique incidence is set
self.size_y = resolution*1.8 if other_args.get('Ky',0)==0 else resolution*5 ## dtto
print 'self.size_x, self.size_y', self.size_x, self.size_y
self.monitor_z1, self.monitor_z2 = (-padding-blend/2, padding+blend/2)
self.register_locals(locals(), other_args) ## Remember the parameters
self.mon2eps = epsilon ## store what dielectric is the second monitor embedded in
## Define materials
self.materials = []
if 'Au' in comment: self.materials += [meep_materials.material_Au(where=self.where_m)]
elif 'Ag' in comment: self.materials += [meep_materials.material_Ag(where=self.where_m)]
elif 'metal' in comment.lower():
self.materials += [meep_materials.material_Au(where=self.where_m)]
self.materials[-1].pol[1:] = []
self.materials[-1].pol[0]['gamma'] = 0
else: self.materials += [meep_materials.material_dielectric(where=self.where_m, eps=self.epsilon)]
for m in self.materials:
self.fix_material_stability(m, f_c=3e15) ## rm all osc above the first one, to optimize for speed
## Test the validity of the model
meep_utils.plot_eps(self.materials, plot_conductivity=True,
draw_instability_area=(self.f_c(), 3*meep.use_Courant()**2), mark_freq={self.f_c():'$f_c$'})
self.test_materials()
def __init__(self, comment="", simtime=150e-12, resolution=6e-6, cellsize=100e-6, cellsizexy=100e-6, cellnumber=1,
padding=100e-6,
cornerradius=0e-6, xholesize=80e-6, yholesize=80e-6, slabthick=12e-6, slabcdist=0, **other_args):
meep_utils.AbstractMeepModel.__init__(self) ## Base class initialisation
## Constant parameters for the simulation
self.simulation_name = "Fishnet"
self.src_freq, self.src_width = 1000e9, 4000e9 # [Hz] (note: gaussian source ends at t=10/src_width)
self.interesting_frequencies = (1e9, 2*c/cellsize) # Which frequencies will be saved to disk
self.pml_thickness = .1*c/self.src_freq
self.size_x = cellsizexy
if yholesize == "inf" or yholesize == np.inf:
self.size_y = resolution/1.8
yholesize = np.inf
else:
self.size_y = cellsizexy
self.size_z = cellnumber*cellsize + 4*padding + 2*self.pml_thickness
self.monitor_z1, self.monitor_z2 = (-(cellsize*cellnumber/2)-padding, (cellsize*cellnumber/2)+padding)
self.cellcenters = np.arange((1-cellnumber)*cellsize/2, cellnumber*cellsize/2, cellsize)
self.register_locals(locals(), other_args) ## Remember the parameters
## Define materials (with manual Lorentzian clipping)
au = meep_materials.material_Au(where=self.where_fishnet)
#au.pol[0]['sigma'] /= 1000 # adjust losses
#au.pol[0]['gamma'] *= 3000
self.fix_material_stability(au, verbose=0)
self.materials = [au]
## Test the validity of the model
meep_utils.plot_eps(self.materials, plot_conductivity=True,
draw_instability_area=(self.f_c(), 3*meep.use_Courant()**2), mark_freq={self.f_c():'$f_c$'})
self.test_materials()
def __init__(self, comment="", simtime=50e-12, resolution=4e-6, cellsize=100e-6, cellnumber=1, padding=20e-6,
radius=40e-6, wirethick=6e-6, srrthick=6e-6, splitting=26e-6, splitting2=0e-6, capacitorr=10e-6,
cbarthick=0e-6, insplitting=100e-6, incapacitorr=0e-6, **other_args):
meep_utils.AbstractMeepModel.__init__(self) ## Base class initialisation
## Constant parameters for the simulation
self.simulation_name = "SRRArray"
self.src_freq, self.src_width = 1000e9, 4000e9 # [Hz] (note: gaussian source ends at t=10/src_width)
self.interesting_frequencies = (10e9, 2000e9) # Which frequencies will be saved to disk
self.pml_thickness = 20e-6
self.size_x = cellsize
self.size_y = cellsize
self.size_z = cellnumber*cellsize + 4*padding + 2*self.pml_thickness
self.monitor_z1, self.monitor_z2 = (-(cellsize*cellnumber/2)-padding, (cellsize*cellnumber/2)+padding)
self.cellcenters = np.arange((1-cellnumber)*cellsize/2, cellnumber*cellsize/2, cellsize)
self.register_locals(locals(), other_args) ## Remember the parameters
## Define materials
self.materials = []
au = meep_materials.material_Au(where=self.where_wire)
self.fix_material_stability(au, verbose=0)
self.materials.append(au)
## Test the validity of the model
meep_utils.plot_eps(self.materials, plot_conductivity=True,
draw_instability_area=(self.f_c(), 3*meep.use_Courant()**2), mark_freq={self.f_c():'$f_c$'})
self.test_materials()
def __init__(self, comment="", simtime=100e-12, resolution=2e-6, cellnumber=1, cellsize=100e-6, padding=50e-6,
fillfraction=0.5, epsilon=2, **other_args):
meep_utils.AbstractMeepModel.__init__(self) ## Base class initialisation
## Constant parameters for the simulation
self.simulation_name = "Slab"
self.src_freq, self.src_width = 1000e9, 4000e9 # [Hz] (note: gaussian source ends at t=10/src_width)
self.interesting_frequencies = (10e9, 2000e9) # Which frequencies will be saved to disk
self.pml_thickness = 0.1*c/self.src_freq
self.size_x = resolution*2
self.size_y = resolution
self.size_z = cellnumber*cellsize + 4*padding + 2*self.pml_thickness
self.monitor_z1, self.monitor_z2 = (-(cellsize*cellnumber/2)-padding, (cellsize*cellnumber/2)+padding)
self.cellcenters = np.arange((1-cellnumber)*cellsize/2, cellnumber*cellsize/2, cellsize)
self.register_locals(locals(), other_args) ## Remember the parameters
## Define materials
# note: for optical range, it was good to supply f_c=5e15 to fix_material_stability
if 'Au' in comment:
m = meep_materials.material_Au(where=self.where_slab)
self.fix_material_stability(m, verbose=0) ## rm all osc above the first one, to optimize for speed
elif 'Ag' in comment:
m = meep_materials.material_Ag(where=self.where_slab)
self.fix_material_stability(m, verbose=0) ## rm all osc above the first one, to optimize for speed
else:
m = meep_materials.material_dielectric(where=self.where_slab, loss=0.001, eps=epsilon)
self.materials = [m]
def __init__(self, comment="", simtime=200e-15, resolution=20e-9, cellnumber=1, padding=50e-6,
tdist=50e-6, ldist=100e-6, rcore1=6e-6, rclad1=0, rcore2=6e-6, tshift=0, **other_args):
""" I have a red laser (spot size : 2mm of diameter) that goes through 2 grids placed a 50cm (see pictures below) but 100um apart from each other. A photomultiplier is placed behind the grids at 1m. During the experiment the second grid moves transversally and alternatively block the light and let the light reaching the photomultiplier. The grids induce a diffraction pattern, of which we only collect the central bright spot with the photomultiplier (a pinhole is placed in front of it with a 2mm diameter hole). What I would like to do is to simulate the profile of intensity of the light collected at the photomultiplier while the second grid moves. That's a first thing. Secondly, I would like to simulate how the profile changes while some material is deposit on the bars of the first grids and obstruct slowly the light to go through. So what matters to me is to recorded "how much light" of the initial light reach my PM while the second grid moves for various thicknesses of material deposited on the first one. """
meep_utils.AbstractMeepModel.__init__(self) ## Base class initialisation
## Constant parameters for the simulation
self.simulation_name = "TMathieu_Grating"
self.src_freq, self.src_width = 500e12, 2000e12 # [Hz] (note: gaussian source ends at t=10/src_width)
self.interesting_frequencies = (380e12, 730e12) # Which frequencies will be saved to disk
self.pml_thickness = 500e-9
self.size_x = resolution*1.8
self.size_y = tdist
self.size_z = ldist + 2*padding + 2*self.pml_thickness
self.monitor_z1, self.monitor_z2 = (-(ldist/2)-padding, (ldist/2)+padding)
cellsize = ldist+2*padding
self.register_locals(locals(), other_args) ## Remember the parameters
## Define materials (with manual Lorentzian clipping)
self.materials = []
au = meep_materials.material_Au(where=self.where_wire)
self.fix_material_stability(au, verbose=0)
self.materials.append(au)
## Test the validity of the model
meep_utils.plot_eps(self.materials, plot_conductivity=True,
draw_instability_area=(self.f_c(), 3*meep.use_Courant()**2), mark_freq={self.f_c():'$f_c$'})
self.test_materials()
def __init__(self, comment="", simtime=100e-12, resolution=3e-6, Kx=0, Ky=0,
spacing=75e-6, monzd=80e-6, # lateral simulation size, and the z-length left for whole structure
apertured=5e-6, apertureth=5e-6, gaasth=2e-6, # metal aperture (square hole size, metal thickness, gallium arsenide layer thickness)
radius=10e-6, epsloss=0.01, spherey=0e-6, spherez=-14e-6, # dielectric sphere (radius and dielectric losses)
wireth=4e-6, wirey=14e-6, wirez=-14e-6 # metallic wire along x (diameter, lateral position)
):
meep_utils.AbstractMeepModel.__init__(self) ## Base class initialisation
self.simulation_name = "ApertureSphere"
self.register_locals(locals()) ## Remember the parameters
## Constants for the simulation
self.pml_thickness = 20e-6
self.monitor_z1, self.monitor_z2 = -monzd/2, self.apertureth+self.gaasth
print "self.monitor_z1, self.monitor_z2", self.monitor_z1, self.monitor_z2
self.simtime = simtime # [s]
self.src_freq, self.src_width = 2000e9, 4000e9 # [Hz] (note: gaussian source ends at t=10/src_width)
self.interesting_frequencies = (0e9, 4000e9) # Which frequencies will be saved to disk
self.size_x = spacing
self.size_y = spacing
self.size_z = monzd*2 + 2*self.pml_thickness
## Define materials
#self.materials = [meep_materials.material_dielectric(where = self.where_GaAs, eps=10)]
#self.materials += [meep_materials.material_TiO2_THz(where = self.where_TiO2)]
self.materials = []
if self.radius > 0: self.materials += [meep_materials.material_dielectric(where = self.where_TiO2, eps=94., loss=epsloss)]
#if not 'NoGaAs' in comment: self.materials += [meep_materials.material_dielectric(where = self.where_gaas, eps=12) ] %TODO test GaAs where-func
self.materials += [meep_materials.material_Au(where = self.where_metal) ]
for m in self.materials: self.fix_material_stability(m)
## Test the validity of the model
meep_utils.plot_eps(self.materials, plot_conductivity=True,
draw_instability_area=(self.f_c(), 3*meep.use_Courant()**2), mark_freq={self.f_c():'$f_c$'})
self.test_materials()
def __init__(self, comment="", simtime=100e-15, resolution=100e-9, size_x=16e-6, size_y=5e-6, size_z=5e-6,
metalthick=.5e-6, apdisty=0e-6, apdistx=14e-6, aprad=.1e-6, monzd=123.456e-6):
meep_utils.AbstractMeepModel.__init__(self) ## Base class initialisation
## Constant parameters for the simulation
self.simulation_name = "PlasmonsFilm"
self.src_freq = 400e12 # [Hz] (note: srcwidth irrelevant for continuous_source)
#self.interesting_frequencies = (0e9, 2000e9) # Which frequencies will be saved to disk (irrelevant here) XXX
self.pml_thickness = 1e-6
self.size_x = size_x
self.size_y = size_y
self.size_z = size_z
substrate_z = size_x / 3
self.simtime = simtime # [s]
self.Kx = 0; self.Ky = 0; self.padding=0
self.register_locals(locals()) ## Remember the parameters
## Define materials
f_c = c / np.pi/self.resolution/meep_utils.meep.use_Courant()
self.materials = [meep_materials.material_Au(where=self.where_metal)]
self.materials[0].pol[0]['sigma'] /= 2. ## effective thin layer TODO test+tune+comment
self.materials[0].pol[1:] = [] ## rm other osc
#self.materials = [meep_materials.material_DrudeMetal(lfconductivity=1e8, f_c=.2*f_c, where = self.where_metal)]
#self.materials += [meep_materials.material_dielectric(where=self.where_diel, eps=2.)]
#self.TestMaterials()
#self.materials += [meep_materials.material_Au(where=None)]
meep_utils.plot_eps(self.materials, mark_freq=[f_c])
## Test the validity of the model
for material in self.materials: self.fix_material_stability(material, f_c=2e15, verbose=1)
meep_utils.plot_eps(self.materials, plot_conductivity=True,
draw_instability_area=(self.f_c(), 3*meep.use_Courant()**2), mark_freq={self.f_c():'$f_c$'})
self.test_materials()
def __init__(self, comment="", simtime=100e-12, resolution=2e-6, cellnumber=1, cellsize=100e-6, padding=50e-6,
fillfraction=0.5, epsilon=2, **other_args):
meep_utils.AbstractMeepModel.__init__(self) ## Base class initialisation
## Constant parameters for the simulation
self.simulation_name = "Slab"
self.src_freq, self.src_width = 1000e9, 4000e9 # [Hz] (note: gaussian source ends at t=10/src_width)
self.interesting_frequencies = (10e9, 2000e9) # Which frequencies will be saved to disk
self.pml_thickness = 0.1*c/self.src_freq
self.size_x = resolution*2
self.size_y = resolution
self.size_z = cellnumber*cellsize + 4*padding + 2*self.pml_thickness
self.monitor_z1, self.monitor_z2 = (-(cellsize*cellnumber/2)-padding, (cellsize*cellnumber/2)+padding)
self.cellcenters = np.arange((1-cellnumber)*cellsize/2, cellnumber*cellsize/2, cellsize)
self.register_locals(locals(), other_args) ## Remember the parameters
## Define materials
# note: for optical range, it was good to supply f_c=5e15 to fix_material_stability
if 'Au' in comment:
m = meep_materials.material_Au(where=self.where_slab)
self.fix_material_stability(m, verbose=0) ## rm all osc above the first one, to optimize for speed
elif 'Ag' in comment:
m = meep_materials.material_Ag(where=self.where_slab)
self.fix_material_stability(m, verbose=0) ## rm all osc above the first one, to optimize for speed
else:
m = meep_materials.material_dielectric(where=self.where_slab, loss=0.001, eps=epsilon)
self.materials = [m]
def __init__(self, comment="", simtime=50e-12, resolution=4e-6, cellsize=100e-6, cellnumber=1, padding=20e-6,
radius=40e-6, wirethick=6e-6, srrthick=6e-6, splitting=26e-6, splitting2=0e-6, capacitorr=10e-6,
cbarthick=0e-6, insplitting=100e-6, incapacitorr=0e-6, **other_args):
meep_utils.AbstractMeepModel.__init__(self) ## Base class initialisation
## Constant parameters for the simulation
self.simulation_name = "SRRArray"
self.src_freq, self.src_width = 1000e9, 4000e9 # [Hz] (note: gaussian source ends at t=10/src_width)
self.interesting_frequencies = (10e9, 2000e9) # Which frequencies will be saved to disk
self.pml_thickness = 20e-6
self.size_x = cellsize
self.size_y = cellsize
self.size_z = cellnumber*cellsize + 4*padding + 2*self.pml_thickness
self.monitor_z1, self.monitor_z2 = (-(cellsize*cellnumber/2)-padding, (cellsize*cellnumber/2)+padding)
self.cellcenters = np.arange((1-cellnumber)*cellsize/2, cellnumber*cellsize/2, cellsize)
self.register_locals(locals(), other_args) ## Remember the parameters
## Define materials
self.materials = []
au = meep_materials.material_Au(where=self.where_wire)
self.fix_material_stability(au, verbose=0)
self.materials.append(au)
## Test the validity of the model
meep_utils.plot_eps(self.materials, plot_conductivity=True,
draw_instability_area=(self.f_c(), 3*meep.use_Courant()**2), mark_freq={self.f_c():'$f_c$'})
self.test_materials()
def __init__(self, comment="", simtime=200e-15, resolution=20e-9, cellnumber=1, padding=50e-6,
tdist=50e-6, ldist=100e-6, rcore1=6e-6, rclad1=0, rcore2=6e-6, tshift=0, **other_args):
""" I have a red laser (spot size : 2mm of diameter) that goes through 2 grids placed a 50cm (see pictures below) but 100um apart from each other. A photomultiplier is placed behind the grids at 1m. During the experiment the second grid moves transversally and alternatively block the light and let the light reaching the photomultiplier. The grids induce a diffraction pattern, of which we only collect the central bright spot with the photomultiplier (a pinhole is placed in front of it with a 2mm diameter hole). What I would like to do is to simulate the profile of intensity of the light collected at the photomultiplier while the second grid moves. That's a first thing. Secondly, I would like to simulate how the profile changes while some material is deposit on the bars of the first grids and obstruct slowly the light to go through. So what matters to me is to recorded "how much light" of the initial light reach my PM while the second grid moves for various thicknesses of material deposited on the first one. """
meep_utils.AbstractMeepModel.__init__(self) ## Base class initialisation
## Constant parameters for the simulation
self.simulation_name = "TMathieu_Grating"
self.src_freq, self.src_width = 500e12, 2000e12 # [Hz] (note: gaussian source ends at t=10/src_width)
self.interesting_frequencies = (380e12, 730e12) # Which frequencies will be saved to disk
self.pml_thickness = 500e-9
self.size_x = resolution*1.8
self.size_y = tdist
self.size_z = ldist + 2*padding + 2*self.pml_thickness
self.monitor_z1, self.monitor_z2 = (-(ldist/2)-padding, (ldist/2)+padding)
cellsize = ldist+2*padding
self.register_locals(locals(), other_args) ## Remember the parameters
## Define materials (with manual Lorentzian clipping)
self.materials = []
au = meep_materials.material_Au(where=self.where_wire)
self.fix_material_stability(au, verbose=0)
self.materials.append(au)
## Test the validity of the model
meep_utils.plot_eps(self.materials, plot_conductivity=True,
draw_instability_area=(self.f_c(), 3*meep.use_Courant()**2), mark_freq={self.f_c():'$f_c$'})
self.test_materials()
def __init__(self,
comment="",
simtime=25e-15,
resolution=.5e-9,
cellsize=5e-9,
cellsizex=10e-9,
cellsizey=0,
cellnumber=1,
padding=1e-9,
radius=3.1e-9,
gap=0,
**other_args):
meep_utils.AbstractMeepModel.__init__(
self) ## Base class initialisation
## Constant parameters for the simulation
self.simulation_name = "PlasmonicDimers"
self.src_freq, self.src_width = 1000e12, 4000e12 # Hz] (note: gaussian source ends at t=10/src_width)
self.interesting_frequencies = (
1e12, 1.5e15) # Which frequencies will be saved to disk
self.pml_thickness = .01 * c / self.src_freq ## changing from 10x larger value caused less than 1e-4 change in transmittance
print("self.pml_thickness", self.pml_thickness)
self.size_x = cellsizex
self.size_y = cellsizey if cellsizey else resolution / 1.8 ## if zero thickness in y, simulate cylinders
self.size_z = cellnumber * cellsize + 4 * padding + 2 * self.pml_thickness
self.monitor_z1, self.monitor_z2 = (-(cellsize * cellnumber / 2) -
padding,
(cellsize * cellnumber / 2) +
padding)
self.cellcenters = np.arange((1 - cellnumber) * cellsize / 2,
cellnumber * cellsize / 2, cellsize)
self.register_locals(locals(), other_args) ## Remember the parameters
self.gap = gap if gap else resolution / 1.8 ## adjust the gap to be single voxel TODO
self.singlesphere = ('singlesphere' in self.comment)
## Define materials (with manual Lorentzian clipping)
au = meep_materials.material_Au(where=self.where_metal)
#au.pol[0]['sigma'] /= 1000 # adjust losses
#au.pol[0]['gamma'] *= .1
if 'nolorentz' in comment.lower():
au.pol = au.pol[:
1] ## optionally, remove all Lorentzian oscillators
au.pol = au.pol[:
5] ## remove the last oscillator - maximum number is 5 as given by python-meep
self.fix_material_stability(au, verbose=0)
self.materials = [au]
## Test the validity of the model
meep_utils.plot_eps(self.materials,
plot_conductivity=True,
draw_instability_area=(self.f_c(),
3 * meep.use_Courant()**2),
mark_freq={self.f_c(): '$f_c$'})
self.test_materials()
def __init__(self, comment="", simtime=30e-9, resolution=5e-3, cellnumber=1, padding=9e-3, radius=33.774e-3, height=122.36e-3 , Kx=0, Ky=0): ## XXXheight=122.3642686e-3
meep_utils.AbstractMeepModel.__init__(self) ## Base class initialisation
self.simulation_name = "HollowCyl"
self.register_locals(locals()) ## Remember the parameters
## Obligatory parameters (used in the simulation)
self.pml_thickness = padding/2
self.simtime = simtime # [s]HollowCyl_simtime=3.000e-08_height=3.000e-02
self.src_freq, self.src_width = 3e9, 10e9 # [Hz] (note: gaussian source ends at t=10/src_width)
self.interesting_frequencies = (.1e9, 8e9) # Which frequencies will be saved to disk
self.size_x = 2*radius+padding*2
self.size_y = 2*radius+padding*2
self.size_z = height+padding*2
## Define materials
f_c = c / np.pi/self.resolution/meep_utils.meep.use_Courant()
self.materials = []
au = meep_materials.material_Au(where=self.where_metal)
self.fix_material_stability(au, verbose=0)
self.materials.append(au)
#self.materials += [meep_materials.material_DrudeMetal(lfconductivity=1e4, f_c=f_c, gamma_factor=.5, epsplus=0, where=self.where_metal)]
meep_utils.plot_eps(self.materials, plot_conductivity=True,
draw_instability_area=(self.f_c(), 3*meep.use_Courant()**2), mark_freq={self.f_c():'$f_c$'})
self.test_materials()
def __init__(
self,
comment="",
simtime=100e-12,
resolution=3e-6,
Kx=0,
Ky=0,
spacing=75e-6,
monzd=80e-6, # lateral simulation size, and the z-length left for whole structure
apertured=5e-6,
apertureth=5e-6,
gaasth=2e-6, # metal aperture (square hole size, metal thickness, gallium arsenide layer thickness)
radius=10e-6,
epsloss=0.01,
spherey=0e-6,
spherez=-14e-6, # dielectric sphere (radius and dielectric losses)
wireth=4e-6,
wirey=14e-6,
wirez=-14e-6 # metallic wire along x (diameter, lateral position)
):
meep_utils.AbstractMeepModel.__init__(
self) ## Base class initialisation
self.simulation_name = "ApertureSphere"
self.register_locals(locals()) ## Remember the parameters
## Constants for the simulation
self.pml_thickness = 20e-6
self.monitor_z1, self.monitor_z2 = -monzd / 2, self.apertureth + self.gaasth
print "self.monitor_z1, self.monitor_z2", self.monitor_z1, self.monitor_z2
self.simtime = simtime # [s]
self.src_freq, self.src_width = 2000e9, 4000e9 # [Hz] (note: gaussian source ends at t=10/src_width)
self.interesting_frequencies = (
0e9, 4000e9) # Which frequencies will be saved to disk
self.size_x = spacing
self.size_y = spacing
self.size_z = monzd * 2 + 2 * self.pml_thickness
## Define materials
#self.materials = [meep_materials.material_dielectric(where = self.where_GaAs, eps=10)]
#self.materials += [meep_materials.material_TiO2_THz(where = self.where_TiO2)]
self.materials = []
if self.radius > 0:
self.materials += [
meep_materials.material_dielectric(where=self.where_TiO2,
eps=94.,
loss=epsloss)
]
#if not 'NoGaAs' in comment: self.materials += [meep_materials.material_dielectric(where = self.where_gaas, eps=12) ] %TODO test GaAs where-func
self.materials += [meep_materials.material_Au(where=self.where_metal)]
for m in self.materials:
self.fix_material_stability(m)
## Test the validity of the model
meep_utils.plot_eps(self.materials,
plot_conductivity=True,
draw_instability_area=(self.f_c(),
3 * meep.use_Courant()**2),
mark_freq={self.f_c(): '$f_c$'})
self.test_materials()
def __init__(self, comment="", simtime=150e-12, resolution=4e-6, cellsize=100e-6, cellnumber=1, padding=100e-6,
cornerradius=30e-6, xholesize=80e-6, yholesize=80e-6, slabthick=12e-6, slabcdist=0, **other_args):
meep_utils.AbstractMeepModel.__init__(self) ## Base class initialisation
## Constant parameters for the simulation
self.simulation_name = "Fishnet"
self.src_freq, self.src_width = 1000e9, 4000e9 # [Hz] (note: gaussian source ends at t=10/src_width)
self.interesting_frequencies = (10e9, 4000e9) # Which frequencies will be saved to disk
self.pml_thickness = .1*c/self.src_freq
self.size_x = cellsize
if yholesize == "inf" or yholesize == np.inf:
self.size_y = resolution/1.8
yholesize = np.inf
else:
self.size_y = cellsize
self.size_z = cellnumber*cellsize + 4*padding + 2*self.pml_thickness
self.monitor_z1, self.monitor_z2 = (-(cellsize*cellnumber/2)-padding, (cellsize*cellnumber/2)+padding)
self.cellcenters = np.arange((1-cellnumber)*cellsize/2, cellnumber*cellsize/2, cellsize)
self.register_locals(locals(), other_args) ## Remember the parameters
## Define materials (with manual Lorentzian clipping)
au = meep_materials.material_Au(where=self.where_fishnet)
au.pol[0]['sigma'] /= 10 # adjust losses
au.pol[0]['gamma'] *= 10
self.fix_material_stability(au, verbose=0)
self.materials = [au]
## Test the validity of the model
meep_utils.plot_eps(self.materials, plot_conductivity=True,
draw_instability_area=(self.f_c(), 3*meep.use_Courant()**2), mark_freq={self.f_c():'$f_c$'})
self.test_materials()
def __init__(self, comment="", simtime=100e-15, resolution=10e-9, cellnumber=1, padding=200e-9, cellsize = 200e-9,
epsilon=33.97, blend=0, **other_args):
""" This structure demonstrates that scatter.py can also be used for samples on a substrate with an infinite
thickness. The back side of the substrate is not simulated, and it is assumed there will be no Fabry-Perot
interferences between its sides.
The monitor planes are enabled to be placed also inside a dielectric. In which case the wave amplitude is
adjusted so that the light intensity is maintained. The field amplitudes and phases have physical meaning
only when both monitor planes are in the same medium, though.
Besides, the example demonstrates that on a steep interface with air the transmitted and reflected waves have
exactly the same energy with the choice of permittivity: ((1+.5**.5)/(1-.5**.5))**2, that is roughly 33.97.
"""
meep_utils.AbstractMeepModel.__init__(self) ## Base class initialisation
## Constant parameters for the simulation
self.simulation_name = "HalfSpace"
self.src_freq, self.src_width = 500e12, 100e12 # [Hz] (note: gaussian source ends at t=10/src_width)
self.interesting_frequencies = (10e12, 1000e12) # Which frequencies will be saved to disk
self.pml_thickness = 500e-9
self.size_x = resolution*1.8
self.size_y = resolution*1.8
self.size_z = blend + 2*padding + 2*self.pml_thickness + 6*resolution
self.monitor_z1, self.monitor_z2 = (-padding, padding)
self.register_locals(locals(), other_args) ## Remember the parameters
self.mon2eps = epsilon ## store what dielectric is the second monitor embedded in
## Define materials
self.materials = []
if 'Au' in comment: self.materials += [meep_materials.material_Au(where=self.where_m)]
elif 'Ag' in comment: self.materials += [meep_materials.material_Ag(where=self.where_m)]
elif 'metal' in comment:
self.materials += [meep_materials.material_Au(where=self.where_m)]
self.materials[-1].pol[1:] = []
self.materials[-1].pol[0]['gamma'] = 0
else: self.materials += [meep_materials.material_dielectric(where=self.where_m, eps=self.epsilon)]
for m in self.materials:
self.fix_material_stability(m, f_c=3e15) ## rm all osc above the first one, to optimize for speed
## Test the validity of the model
meep_utils.plot_eps(self.materials, plot_conductivity=True,
draw_instability_area=(self.f_c(), 3*meep.use_Courant()**2), mark_freq={self.f_c():'$f_c$'})
self.test_materials()
def __init__(
self,
simtime=3.5e-13,
resolution=4e-9,
size_x=2.25e-6,
size_y=0.1e-6,
size_z=8e-7,
thickness_Au=1.5e-7,
depthx=5e-8,
depthz=1e-7,
thickness_sapphire=2e-7, #1.6e-7,
period=7.5e-7,
Nslits=3,
**other_args):
meep_utils.AbstractMeepModel.__init__(
self) #Inizialitation of the class
# Sapphire substrate thickness taken from Kim D S, Hohng S C, Malyarchuk V, Yoon
#Y C, Ahn Y H, Yee K J, Park J W, Kim J, Park Q H and Lienau C 2003 Phys. Rev. Lett. 91 143901
self.simulation_name = "SlabSubsCont3GaussSapphire"
self.src_freq = 375e12 # [Hz] (note: srcwidth irrelevant for continuous_source)
self.src_width = 160e12
self.interesting_frequencies = (250e12, 500e12)
self.pml_thickness = 2.5e-8
self.Nslits = int(Nslits)
self.size_x = size_x
self.size_y = size_y
self.size_z = size_z
self.simtime = simtime # [s]
self.monitor_z1 = (-thickness_Au - 1e-7)
self.monitor_z2 = 3.9e-7
self.monitor_z3 = 1e-8
self.Kx = 0 #(2*np.pi*self.src_freq/c)*np.sin(np.pi/6)#6.8017e6 # 30 degrees
self.Ky = 0
self.padding = 0
self.register_locals(locals(), other_args) ## Remember the parameters
## Define materials
f_c = c / np.pi / self.resolution / meep_utils.meep.use_Courant()
#self.materials = []
self.materials = [meep_materials.material_Au(where=self.where_AuGauss)]
#self.materials[0].pol[1:3]=[]
self.materials += [
meep_materials.material_dielectric(eps=3.133,
where=self.where_sapphire)
]
#self.materials += [meep_materials.material_Sapphire(where=self.where_sapphire)]
for material in self.materials:
self.fix_material_stability(material, f_c=2e15, verbose=1)
meep_utils.plot_eps(self.materials,
plot_conductivity=True,
draw_instability_area=(self.f_c(),
3 * meep.use_Courant()**2),
mark_freq={self.f_c(): '$f_c$'})
self.test_materials()
def __init__(self,
comment="",
simtime=100e-15,
resolution=100e-9,
size_x=16e-6,
size_y=5e-6,
size_z=5e-6,
metalthick=.5e-6,
apdisty=0e-6,
apdistx=14e-6,
aprad=.1e-6,
monzd=123.456e-6,
electronmass=1,
**other_args):
meep_utils.AbstractMeepModel.__init__(
self) ## Base class initialisation
## Constant parameters for the simulation
self.simulation_name = "PlasmonsFilm"
self.src_freq = 400e12 # [Hz] (note: srcwidth irrelevant for continuous_source)
#self.interesting_frequencies = (0e9, 2000e9) # Which frequencies will be saved to disk (irrelevant here) XXX
self.pml_thickness = 1e-6
self.size_x = size_x
self.size_y = size_y
self.size_z = size_z
substrate_z = size_x / 3
self.simtime = simtime # [s]
self.Kx = 0
self.Ky = 0
self.padding = 0
self.register_locals(locals(), other_args) ## Remember the parameters
## Define materials
f_c = c / np.pi / self.resolution / meep_utils.meep.use_Courant()
self.materials = [meep_materials.material_Au(where=self.where_metal)]
self.materials[0].pol[0][
'sigma'] /= electronmass ## effective thin layer TODO test+tune+comment
self.materials[0].pol[1:] = [] ## rm other osc
#self.materials = [meep_materials.material_DrudeMetal(lfconductivity=1e8, f_c=.2*f_c, where = self.where_metal)]
#self.materials += [meep_materials.material_dielectric(where=self.where_diel, eps=2.)]
#self.TestMaterials()
#self.materials += [meep_materials.material_Au(where=None)]
meep_utils.plot_eps(self.materials, mark_freq=[f_c])
## Test the validity of the model
for material in self.materials:
self.fix_material_stability(material, f_c=2e15, verbose=1)
meep_utils.plot_eps(self.materials,
plot_conductivity=True,
draw_instability_area=(self.f_c(),
3 * meep.use_Courant()**2),
mark_freq={self.f_c(): '$f_c$'})
self.test_materials()
def __init__(self,
comment="",
simtime=50e-15,
resolution=3e-9,
cells=1,
monzc=0e-9,
Kx=0,
Ky=0,
padding=25e-9,
thick=4e-9,
width=4e-9,
xspacing=50e-9,
monzd=100e-9):
meep_utils.AbstractMeepModel.__init__(
self) ## Base class initialisation
self.simulation_name = "XCylWire" ##
self.register_locals(locals()) ## Remember the parameters
## Initialization of materials used
if 'Diel' in comment:
self.materials = [
meep_materials.material_dielectric(where=self.where_wire,
eps=20,
loss=0.001)
]
else:
self.materials = [
meep_materials.material_Au(where=self.where_wire)
]
## Dimension constants for the simulation
#self.size_x, self.size_y, self.size_z = xyspacing, xyspacing, 400e-6+cells*self.monzd
self.pml_thickness = 10e-9
self.size_x = xspacing
self.size_y = resolution / 1.8
self.size_z = 100e-9 + cells * self.monzd + 2 * self.padding + 2 * self.pml_thickness
## constants for the simulation
(self.monitor_z1,
self.monitor_z2) = (-(monzd * cells) / 2 + monzc - padding,
(monzd * cells) / 2 + monzc + padding)
self.simtime = simtime # [s]
self.srcWidth = 3000e12
self.srcFreq = 4e12 + self.srcWidth / 2 + (Ky**2 + Kx**2)**.5 / (
2 * np.pi / 3e8) ## cutoff for oblique incidence
self.interesting_frequencies = (0., 1000e12)
#meep_utils.plot_eps(self.materials)
self.TestMaterials(
) ## catches (most) errors in structure syntax, before they crash the callback
def __init__(self, comment="", simtime=30e-12, resolution=4e-6, cellsize=100e-6, cellnumber=1, padding=50e-6,
radius=30e-6, wirethick=0, wirecut=0, loss=1, epsilon="TiO2", diel=1, **other_args):
meep_utils.AbstractMeepModel.__init__(self) ## Base class initialisation
## Constant parameters for the simulation
self.simulation_name = "SphereWire"
self.src_freq, self.src_width = 1000e9, 4000e9 # [Hz] (note: gaussian source ends at t=10/src_width)
self.interesting_frequencies = (10e9, 3000e9) # Which frequencies will be saved to disk
self.pml_thickness = .1*c/self.src_freq
self.size_x = cellsize if (radius>0 or wirecut>0) else resolution/1.8
self.size_y = cellsize
self.size_z = cellnumber*cellsize + 4*padding + 2*self.pml_thickness
self.monitor_z1, self.monitor_z2 = (-(cellsize*cellnumber/2)-padding, (cellsize*cellnumber/2)+padding)
self.cellcenters = np.arange((1-cellnumber)*cellsize/2, cellnumber*cellsize/2, cellsize)
self.register_locals(locals(), other_args) ## Remember the parameters
## Define materials (with manual Lorentzian clipping)
self.materials = []
if radius > 0:
if epsilon=="TiO2": ## use titanium dioxide if permittivity not specified...
tio2 = meep_materials.material_TiO2(where=self.where_sphere)
if loss != 1: tio2.pol[0]['gamma'] *= loss ## optionally modify the first TiO2 optical phonon to have lower damping
else: ## ...or define a custom dielectric if permittivity not specified
tio2 = meep_materials.material_dielectric(where=self.where_sphere, eps=float(self.epsilon))
self.fix_material_stability(tio2, verbose=0) ##f_c=2e13, rm all osc above the first one, to optimize for speed
self.materials.append(tio2)
self.materials.append(meep_materials.material_dielectric(where=self.where_diel, eps=self.diel))
if wirethick > 0:
au = meep_materials.material_Au(where=self.where_wire)
#au.pol[0]['sigma'] /= 100
#au.pol[0]['gamma'] *= 10000
self.fix_material_stability(au, verbose=0)
self.materials.append(au)
## Test the validity of the model
meep_utils.plot_eps(self.materials, plot_conductivity=True,
draw_instability_area=(self.f_c(), 3*meep.use_Courant()**2), mark_freq={self.f_c():'$f_c$'})
self.test_materials()
def __init__(self, comment="", simtime=30e-12, resolution=4e-6, cellsize=50e-6, cellsizey=30e-6, cellnumber=1,
padding=50e-6, wirewidth=6.5e-6, wirelength=29e-6, loss=1, epsilon="Si", **other_args):
meep_utils.AbstractMeepModel.__init__(self) ## Base class initialisation
## Constant parameters for the simulation
self.simulation_name = "WiresOnSiWire"
self.src_freq, self.src_width = 1000e9, 4000e9 # [Hz] (note: gaussian source ends at t=10/src_width)
self.interesting_frequencies = (10e9, 3000e9) # Which frequencies will be saved to disk
self.pml_thickness = .3*c/self.src_freq
self.size_x = cellsize
self.size_y = cellsizey
self.size_z = cellsize + 4*padding + 2*self.pml_thickness
self.monitor_z1, self.monitor_z2 = (-(cellsize*cellnumber/2)-padding, (cellsize*cellnumber/2)+padding)
self.register_locals(locals(), other_args) ## Remember the parameters
## Define materials (with manual Lorentzian clipping)
self.materials = []
if epsilon=="Si": ## use silicon if permittivity not specified...
si = meep_materials.material_Si_MIR(where=self.where_substr)
if loss != 1: si.pol[0]['gamma'] *= loss ## optionally modify the first TiO2 optical phonon to have lower damping
else: ## ...or define a custom dielectric if permittivity not specified
si = meep_materials.material_dielectric(where=self.where_substr, eps=float(self.epsilon))
self.fix_material_stability(si, verbose=0) ## rm all osc above the first one, to optimize for speed
self.mon2eps = meep_utils.analytic_eps(mat=si, freq=1e12) ## store what dielectric is the second monitor embedded in
print '>>>>>>>>>>>>>>>>>>>>>>>>> self.mon2eps',self.mon2eps
#self.mon2eps = 12 ## store what dielectric is the second monitor embedded in
self.materials.append(si)
au = meep_materials.material_Au(where=self.where_wire)
#au.pol[0]['sigma'] /= 100
#au.pol[0]['gamma'] *= 10000
self.fix_material_stability(au, verbose=0)
self.materials.append(au)
## Test the validity of the model
meep_utils.plot_eps(self.materials, plot_conductivity=True,
draw_instability_area=(self.f_c(), 3*meep.use_Courant()**2), mark_freq={self.f_c():'$f_c$'})
self.test_materials()
def __init__(self, comment="", simtime=30e-12, resolution=4e-6, cellsize=100e-6, cellnumber=1, padding=50e-6,
radius=30e-6, wirethick=0, wirecut=0, loss=1, epsilon="TiO2", diel=1, **other_args):
meep_utils.AbstractMeepModel.__init__(self) ## Base class initialisation
## Constant parameters for the simulation
self.simulation_name = "SphereWire"
self.src_freq, self.src_width = 1000e9, 4000e9 # [Hz] (note: gaussian source ends at t=10/src_width)
self.interesting_frequencies = (10e9, 3000e9) # Which frequencies will be saved to disk
self.pml_thickness = .1*c/self.src_freq
self.size_x = cellsize if (radius>0 or wirecut>0) else resolution/1.8
self.size_y = cellsize
self.size_z = cellnumber*cellsize + 4*padding + 2*self.pml_thickness
self.monitor_z1, self.monitor_z2 = (-(cellsize*cellnumber/2)-padding, (cellsize*cellnumber/2)+padding)
self.cellcenters = np.arange((1-cellnumber)*cellsize/2, cellnumber*cellsize/2, cellsize)
self.register_locals(locals(), other_args) ## Remember the parameters
## Define materials (with manual Lorentzian clipping)
self.materials = []
if radius > 0:
if epsilon=="TiO2": ## use titanium dioxide if permittivity not specified...
tio2 = meep_materials.material_TiO2(where=self.where_sphere)
if loss != 1: tio2.pol[0]['gamma'] *= loss ## optionally modify the first TiO2 optical phonon to have lower damping
else: ## ...or define a custom dielectric if permittivity not specified
tio2 = meep_materials.material_dielectric(where=self.where_sphere, eps=float(self.epsilon))
self.fix_material_stability(tio2, verbose=0) ##f_c=2e13, rm all osc above the first one, to optimize for speed
self.materials.append(tio2)
self.materials.append(meep_materials.material_dielectric(where=self.where_diel, eps=self.diel))
if wirethick > 0:
au = meep_materials.material_Au(where=self.where_wire)
#au.pol[0]['sigma'] /= 100
#au.pol[0]['gamma'] *= 10000
self.fix_material_stability(au, verbose=0)
self.materials.append(au)
## Test the validity of the model
meep_utils.plot_eps(self.materials, plot_conductivity=True,
draw_instability_area=(self.f_c(), 3*meep.use_Courant()**2), mark_freq={self.f_c():'$f_c$'})
self.test_materials()
def __init__(self, comment="", simtime=30e-12, resolution=4e-6, cellsize=50e-6, cellsizey=30e-6, cellnumber=1,
padding=50e-6, wirewidth=6.5e-6, wirelength=29e-6, loss=1, epsilon="Si", **other_args):
meep_utils.AbstractMeepModel.__init__(self) ## Base class initialisation
## Constant parameters for the simulation
self.simulation_name = "WiresOnSiWire"
self.src_freq, self.src_width = 1000e9, 4000e9 # [Hz] (note: gaussian source ends at t=10/src_width)
self.interesting_frequencies = (10e9, 3000e9) # Which frequencies will be saved to disk
self.pml_thickness = .3*c/self.src_freq
self.size_x = cellsize
self.size_y = cellsizey
self.size_z = cellsize + 4*padding + 2*self.pml_thickness
self.monitor_z1, self.monitor_z2 = (-(cellsize*cellnumber/2)-padding, (cellsize*cellnumber/2)+padding)
self.register_locals(locals(), other_args) ## Remember the parameters
## Define materials (with manual Lorentzian clipping)
self.materials = []
if epsilon=="Si": ## use silicon if permittivity not specified...
si = meep_materials.material_Si_MIR(where=self.where_substr)
if loss != 1: si.pol[0]['gamma'] *= loss ## optionally modify the first TiO2 optical phonon to have lower damping
else: ## ...or define a custom dielectric if permittivity not specified
si = meep_materials.material_dielectric(where=self.where_substr, eps=float(self.epsilon))
self.fix_material_stability(si, verbose=0) ## rm all osc above the first one, to optimize for speed
self.mon2eps = meep_utils.analytic_eps(mat=si, freq=1e12) ## store what dielectric is the second monitor embedded in
print '>>>>>>>>>>>>>>>>>>>>>>>>> self.mon2eps',self.mon2eps
#self.mon2eps = 12 ## store what dielectric is the second monitor embedded in
self.materials.append(si)
au = meep_materials.material_Au(where=self.where_wire)
#au.pol[0]['sigma'] /= 100
#au.pol[0]['gamma'] *= 10000
self.fix_material_stability(au, verbose=0)
self.materials.append(au)
## Test the validity of the model
meep_utils.plot_eps(self.materials, plot_conductivity=True,
draw_instability_area=(self.f_c(), 3*meep.use_Courant()**2), mark_freq={self.f_c():'$f_c$'})
self.test_materials()
def __init__(self,
comment="",
simtime=30e-9,
resolution=5e-3,
cellnumber=1,
padding=9e-3,
radius=33.774e-3,
height=122.36e-3,
Kx=0,
Ky=0,
**other_args):
meep_utils.AbstractMeepModel.__init__(
self) ## Base class initialisation
self.simulation_name = "HollowCyl"
self.register_locals(locals(), other_args) ## Remember the parameters
## Obligatory parameters (used in the simulation)
self.pml_thickness = padding / 2
self.simtime = simtime # [s]HollowCyl_simtime=3.000e-08_height=3.000e-02
self.src_freq, self.src_width = 3e9, 10e9 # [Hz] (note: gaussian source ends at t=10/src_width)
self.interesting_frequencies = (
.1e9, 8e9) # Which frequencies will be saved to disk
self.size_x = 2 * radius + padding * 2
self.size_y = 2 * radius + padding * 2
self.size_z = height + padding * 2
## Define materials
f_c = c / np.pi / self.resolution / meep_utils.meep.use_Courant()
self.materials = []
au = meep_materials.material_Au(where=self.where_metal)
self.fix_material_stability(au, verbose=0)
self.materials.append(au)
#self.materials += [meep_materials.material_DrudeMetal(lfconductivity=1e4, f_c=f_c, gamma_factor=.5, epsplus=0, where=self.where_metal)]
meep_utils.plot_eps(self.materials,
plot_conductivity=True,
draw_instability_area=(self.f_c(),
3 * meep.use_Courant()**2),
mark_freq={self.f_c(): '$f_c$'})
self.test_materials()
def __init__(self, simtime=3.5e-13, resolution =4e-9,size_x = 2.25e-6, size_y = 0.1e-6,
size_z = 8e-7, thickness_Au = 1.5e-7,depthx = 5e-8, depthz = 1e-7,
thickness_sapphire = 2e-7, #1.6e-7,
period =7.5e-7, Nslits =3, **other_args):
meep_utils.AbstractMeepModel.__init__(self) #Inizialitation of the class
# Sapphire substrate thickness taken from Kim D S, Hohng S C, Malyarchuk V, Yoon
#Y C, Ahn Y H, Yee K J, Park J W, Kim J, Park Q H and Lienau C 2003 Phys. Rev. Lett. 91 143901
self.simulation_name = "SlabAuSubsCont3Gauss"
self.src_freq = 375e12 # [Hz] (note: srcwidth irrelevant for continuous_source)
self.src_width= 160e12
self.interesting_frequencies=(250e12,500e12)
self.pml_thickness = 2.5e-8
self.Nslits = int(Nslits)
self.size_x = size_x
self.size_y = size_y
self.size_z = size_z
self.simtime = simtime # [s]
self.monitor_z1 = (-thickness_Au - 1e-7)
self.monitor_z2 =3.9e-7
self.monitor_z3 = 1e-8
self.Kx = 0#(2*np.pi*self.src_freq/c)*np.sin(np.pi/6)#6.8017e6 # 30 degrees
self.Ky = 0
self.padding=0
self.register_locals(locals(), other_args) ## Remember the parameters
## Define materials
f_c = c / np.pi/self.resolution/meep_utils.meep.use_Courant()
#self.materials = []
self.materials = [meep_materials.material_Au(where=self.where_AuGauss)]
#self.materials[0].pol[1:3]=[]
#self.materials += [meep_materials.material_dielectric(eps=4.0, where=self.where_sapphire)]#(eps=3.133,where=self.where_sapphire)]
#self.materials += [meep_materials.material_Sapphire(where=self.where_sapphire)]
for material in self.materials: self.fix_material_stability(material, f_c=2e15,
verbose=1)
meep_utils.plot_eps(self.materials, plot_conductivity=True,
draw_instability_area=(self.f_c(), 3*meep.use_Courant()**2), mark_freq={self.f_c():'$f_c$'})
self.test_materials()
def __init__(self, comment="", simtime=25e-15, resolution=.5e-9, cellsize=5e-9, cellsizex=10e-9, cellsizey=0, cellnumber=1,
padding=1e-9, radius=3.1e-9, gap=0, **other_args):
meep_utils.AbstractMeepModel.__init__(self) ## Base class initialisation
## Constant parameters for the simulation
self.simulation_name = "PlasmonicDimers"
self.src_freq, self.src_width = 1000e12, 4000e12 # Hz] (note: gaussian source ends at t=10/src_width)
self.interesting_frequencies = (1e12, 1.5e15) # Which frequencies will be saved to disk
self.pml_thickness = .01*c/self.src_freq ## changing from 10x larger value caused less than 1e-4 change in transmittance
print("self.pml_thickness", self.pml_thickness)
self.size_x = cellsizex
self.size_y = cellsizey if cellsizey else resolution/1.8 ## if zero thickness in y, simulate cylinders
self.size_z = cellnumber*cellsize + 4*padding + 2*self.pml_thickness
self.monitor_z1, self.monitor_z2 = (-(cellsize*cellnumber/2)-padding, (cellsize*cellnumber/2)+padding)
self.cellcenters = np.arange((1-cellnumber)*cellsize/2, cellnumber*cellsize/2, cellsize)
self.register_locals(locals(), other_args) ## Remember the parameters
self.gap = gap if gap else resolution/1.8 ## adjust the gap to be single voxel TODO
self.singlesphere = ('singlesphere' in self.comment)
## Define materials (with manual Lorentzian clipping)
au = meep_materials.material_Au(where=self.where_metal)
#au.pol[0]['sigma'] /= 1000 # adjust losses
#au.pol[0]['gamma'] *= .1
if 'nolorentz' in comment.lower():
au.pol = au.pol[:1] ## optionally, remove all Lorentzian oscillators
au.pol = au.pol[:5] ## remove the last oscillator - maximum number is 5 as given by python-meep
self.fix_material_stability(au, verbose=0)
self.materials = [au]
## Test the validity of the model
meep_utils.plot_eps(self.materials, plot_conductivity=True,
draw_instability_area=(self.f_c(), 3*meep.use_Courant()**2), mark_freq={self.f_c():'$f_c$'})
self.test_materials()
def __init__(self,
comment="",
simtime=100e-15,
resolution=10e-9,
cellnumber=1,
padding=200e-9,
cellsize=200e-9,
epsilon=33.97,
blend=0,
**other_args):
""" This structure demonstrates that scatter.py can also be used for samples on a substrate with an infinite
thickness. The back side of the substrate is not simulated, and it is assumed there will be no Fabry-Perot
interferences between its sides.
The monitor planes are enabled to be placed also inside a dielectric. In which case the wave amplitude is
adjusted so that the light intensity is maintained. The field amplitudes and phases have physical meaning
only when both monitor planes are in the same medium, though.
Besides, the example demonstrates that on a steep interface with air the transmitted and reflected waves have
exactly the same energy with the choice of permittivity: ((1+.5**.5)/(1-.5**.5))**2, that is roughly 33.97.
"""
meep_utils.AbstractMeepModel.__init__(
self) ## Base class initialisation
## Constant parameters for the simulation
self.simulation_name = "HalfSpace"
self.src_freq, self.src_width = 500e12, 100e12 # [Hz] (note: gaussian source ends at t=10/src_width)
self.interesting_frequencies = (
10e12, 1000e12) # Which frequencies will be saved to disk
self.pml_thickness = 500e-9
self.size_x = resolution * 1.8
self.size_y = resolution * 1.8
self.size_z = blend + 2 * padding + 2 * self.pml_thickness + 6 * resolution
self.monitor_z1, self.monitor_z2 = (-padding, padding)
self.register_locals(locals(), other_args) ## Remember the parameters
self.mon2eps = epsilon ## store what dielectric is the second monitor embedded in
## Define materials
self.materials = []
if 'Au' in comment:
self.materials += [meep_materials.material_Au(where=self.where_m)]
elif 'Ag' in comment:
self.materials += [meep_materials.material_Ag(where=self.where_m)]
elif 'metal' in comment:
self.materials += [meep_materials.material_Au(where=self.where_m)]
self.materials[-1].pol[1:] = []
self.materials[-1].pol[0]['gamma'] = 0
else:
self.materials += [
meep_materials.material_dielectric(where=self.where_m,
eps=self.epsilon)
]
for m in self.materials:
self.fix_material_stability(
m, f_c=3e15
) ## rm all osc above the first one, to optimize for speed
## Test the validity of the model
meep_utils.plot_eps(self.materials,
plot_conductivity=True,
draw_instability_area=(self.f_c(),
3 * meep.use_Courant()**2),
mark_freq={self.f_c(): '$f_c$'})
self.test_materials()