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=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=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=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,
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()
