for slice_ in slices: slice_.poll(f.time()/c)
for slice_ in slices: slice_.finalize()
meep_utils.notify(model.simulation_name, run_time=timer.get_time())
else: ## frequency-domain computation
f.solve_cw(getattr(model, 'MaxTol',0.001), getattr(model, 'MaxIter', 5000), getattr(model, 'BiCGStab', 8))
for monitor in (monitor1_Ex, monitor1_Hy, monitor2_Ex, monitor2_Hy): monitor.record(field=f)
for slice_ in slices: slice_.finalize()
meep_utils.notify(model.simulation_name)
## Get the reflection and transmission of the structure
if meep.my_rank() == 0:
#t = monitor1_Ex.get_time()
#Ex1, Hy1, Ex2, Hy2 = [mon.get_field_waveform() for mon in (monitor1_Ex, monitor1_Hy, monitor2_Ex, monitor2_Hy)]
freq, s11, s12, columnheaderstring = meep_utils.get_s_parameters(monitor1_Ex, monitor1_Hy, monitor2_Ex, monitor2_Hy,
frequency_domain=True if getattr(model, 'frequency', None) else False,
frequency=getattr(model, 'frequency', None), ## procedure compatible with both FDTD and FDFD
intf=getattr(model, 'interesting_frequencies', [0, model.src_freq+model.src_width]), ## clip the frequency range for plotting
pad_zeros=1.0, ## speed-up FFT, and stabilize eff-param retrieval
Kx=getattr(model, 'Kx', 0), Ky=getattr(model, 'Ky', 0), ## enable oblique incidence (works only if monitors in vacuum)
eps1=getattr(model, 'mon1eps', 1), eps2=getattr(model, 'mon2eps', 1)) ## enable monitors inside dielectrics
print "EVERYTHING OK"
meep_utils.savetxt(fname=model.simulation_name+".dat", fmt="%.6e",
X=zip(freq, np.abs(s11), np.angle(s11), np.abs(s12), np.angle(s12)), ## Save 5 columns: freq, amplitude/phase for reflection/transmission
header=model.parameterstring+columnheaderstring) ## Export header
with open("./last_simulation_name.dat", "w") as outfile: outfile.write(model.simulation_name)
meep.all_wait() # Wait until all file operations are finished
filesample.close()
for slice_ in slices:
slice_.poll(f.time() / c)
for slice_ in slices:
slice_.finalize()
meep_utils.notify(model.simulation_name, run_time=timer.get_time())
## Get the reflection and transmission of the structure
if meep.my_rank() == 0:
freq, s11, s12, headerstring = meep_utils.get_s_parameters(
monitor1_Ex,
monitor1_Hy,
monitor2_Ex,
monitor2_Hy,
intf=getattr(model, 'interesting_frequencies',
[0, model.src_freq + model.src_width]),
pad_zeros=1.0,
Kx=model_param.get('Kx', 0),
Ky=model_param.get('Ky', 0),
eps1=1.0,
eps2=3.24)
print "Saving the fields as a reference"
np.savetxt(fname='./' + model.simulation_name + '/sparam.dat',
fmt="%.6e",
X=zip(freq, np.abs(s11), np.angle(s11), np.abs(s12),
np.angle(s12)))
with open("./last_simulation_name.dat", "w") as outfile:
outfile.write(model.simulation_name)
meep.all_wait() # Wait until all file operations are finished
for slice_ in slices: slice_.poll(f.time()/c)
for slice_ in slices: slice_.finalize()
meep_utils.notify(model.simulation_name, run_time=timer.get_time())
else: ## frequency-domain computation
f.solve_cw(getattr(model, 'MaxTol',0.001), getattr(model, 'MaxIter', 5000), getattr(model, 'BiCGStab', 8))
for monitor in (monitor1_Ex, monitor1_Hy, monitor2_Ex, monitor2_Hy): monitor.record(field=f)
for slice_ in slices: slice_.finalize()
meep_utils.notify(model.simulation_name)
## Get the reflection and transmission of the structure
if meep.my_rank() == 0:
#t = monitor1_Ex.get_time()
#Ex1, Hy1, Ex2, Hy2 = [mon.get_field_waveform() for mon in (monitor1_Ex, monitor1_Hy, monitor2_Ex, monitor2_Hy)]
freq, s11, s12, columnheaderstring = meep_utils.get_s_parameters(monitor1_Ex, monitor1_Hy, monitor2_Ex, monitor2_Hy,
frequency_domain=True if getattr(model, 'frequency', None) else False,
frequency=getattr(model, 'frequency', None), ## procedure compatible with both FDTD and FDFD
intf=getattr(model, 'interesting_frequencies', [0, model.src_freq+model.src_width]), ## clip the frequency range for plotting
pad_zeros=1.0, ## speed-up FFT, and stabilize eff-param retrieval
Kx=getattr(model, 'Kx', 0), Ky=getattr(model, 'Ky', 0), ## enable oblique incidence (works only if monitors in vacuum)
eps1=getattr(model, 'mon1eps', 1), eps2=getattr(model, 'mon2eps', 1)) ## enable monitors inside dielectrics
print "EVERYTHING OK"
meep_utils.savetxt(fname=model.simulation_name+".dat", fmt="%.6e",
X=zip(freq, np.abs(s11), np.angle(s11), np.abs(s12), np.angle(s12)), ## Save 5 columns: freq, amplitude/phase for reflection/transmission
header=model.parameterstring+columnheaderstring) ## Export header
with open("./last_simulation_name.dat", "w") as outfile: outfile.write(model.simulation_name)
meep.all_wait() # Wait until all file operations are finished
slices += [meep_utils.Slice(model=model, field=f, components=meep.Ex, at_z=model.monitor_z2, min_timestep=.05e-14, outputhdf=True, outputgif=True, name='PerpendicularCut')]
slices += [meep_utils.Slice(model=model, field=f, components=meep.Ex, at_z=model.monitor_z3, at_y=0, outputhdf=True, name='Line')]
f.step(); timer = meep_utils.Timer(simtime=model.simtime); meep.quiet(True) # use custom progress messages
controlsample = 0
while (f.time()/c < model.simtime): # timestepping cycle
f.step()
timer.print_progress(f.time()/c)
for monitor in (monitor1_Ex, monitor1_Hy, monitor2_Ex, monitor2_Hy): monitor.record(field=f)
#filesample = open('./'+model.simulation_name + '/Exsampleafter.dat','a')
#filesample.write(str(f.time()/c)+' ')
#filesample.write(str(f.get_field(meep.Ex, meep.vec(0, 0,model.monitor_z1)))+'\n')
#filesample.close()
for slice_ in slices: slice_.poll(f.time()/c)
for slice_ in slices: slice_.finalize()
meep_utils.notify(model.simulation_name, run_time=timer.get_time())
## Get the reflection and transmission of the structure
if meep.my_rank() == 0:
freq, s11, s12, headerstring = meep_utils.get_s_parameters(monitor1_Ex, monitor1_Hy, monitor2_Ex, monitor2_Hy,
intf=getattr(model, 'interesting_frequencies', [0, model.src_freq+model.src_width]),
pad_zeros=1.0, Kx=model_param.get('Kx', 0), Ky=model_param.get('Ky', 0),eps1=3.133,eps2=1.0)
print "Saving the fields as a reference"
np.savetxt(fname='./'+model.simulation_name + "/sparam.dat", fmt="%.6e",
X=zip(freq, np.abs(s11), np.angle(s11), np.abs(s12), np.angle(s12)))
with open("./last_simulation_name.dat", "w") as outfile: outfile.write(model.simulation_name)
meep.all_wait() # Wait until all file operations are finished
with open("./last_simulation_name.txt", "w") as outfile:
outfile.write(model.simulation_name)
meep.master_printf("=== Processing recorded fields ===\n")
## Get the reflection and transmission of the structure
meep.master_printf(" getting s-params\n")
import time
if meep.my_rank() == 0:
time1 = time.time()
freq, s11, s12 = meep_utils.get_s_parameters(
monitor1_Ex,
monitor1_Hy,
monitor2_Ex,
monitor2_Hy,
frequency_domain=sim_param['frequency_domain'],
frequency=sim_param['frequency'],
maxf=model.srcFreq + model.srcWidth,
pad_zeros=1.0,
Kx=model.Kx,
Ky=model.Ky)
#side_wavenumber=2*pi*modenumber*1/model.size_y)
print "S-parameter retrieval (FFT etc.) took", time.time() - time1, "s"
#meep.master_printf(" saving\n")
meep_utils.savetxt(freq=freq, s11=s11, s12=s12, model=model)
import effparam
#meep.master_printf(" done.\n")
print "All processes finishing", meep.my_rank()
meep.all_wait() # Wait until all file operations are finished
f.solve_cw(sim_param['MaxTol'], sim_param['MaxIter'], sim_param['BiCGStab'])
for monitor in (monitor1_Ex, monitor1_Hy, monitor2_Ex, monitor2_Hy): monitor.record(field=f)
snapshot_maker.take_snapshot(0)
meep_utils.notify(model.simulation_name)
with open("./last_simulation_name.txt", "w") as outfile: outfile.write(model.simulation_name)
meep.master_printf("=== Processing recorded fields ===\n")
## Get the reflection and transmission of the structure
meep.master_printf(" getting s-params\n")
import time
if meep.my_rank() == 0:
time1 = time.time()
freq, s11, s12 = meep_utils.get_s_parameters(monitor1_Ex, monitor1_Hy, monitor2_Ex, monitor2_Hy,
frequency_domain=sim_param['frequency_domain'],
frequency=sim_param['frequency'],
maxf=model.srcFreq+model.srcWidth,
pad_zeros=1.0,
Kx=model.Kx,
Ky=model.Ky)
#side_wavenumber=2*pi*modenumber*1/model.size_y)
print "S-parameter retrieval (FFT etc.) took", time.time()-time1, "s"
#meep.master_printf(" saving\n")
meep_utils.savetxt(freq=freq, s11=s11, s12=s12, model=model)
import effparam
#meep.master_printf(" done.\n")
print "All processes finishing", meep.my_rank()
meep.all_wait() # Wait until all file operations are finished
#print f.get_field(meep.Ex, meep.vec(0,0,0))
for monitor in (monitor1_Ex, monitor1_Hy, monitor2_Ex, monitor2_Hy): monitor.record(field=f)
for slice_ in slices: slice_.poll(f.time()/c)
for slice_ in slices: slice_.finalize()
meep_utils.notify(model.simulation_name, run_time=timer.get_time())
else: ## frequency-domain computation
f.step()
f.solve_cw(sim_param['MaxTol'], sim_param['MaxIter'], sim_param['BiCGStab'])
for monitor in (monitor1_Ex, monitor1_Hy, monitor2_Ex, monitor2_Hy): monitor.record(field=f)
for slice_ in slices: slice_.finalize()
meep_utils.notify(model.simulation_name)
## Get the reflection and transmission of the structure
if meep.my_rank() == 0:
freq, s11, s12, headerstring = meep_utils.get_s_parameters(monitor1_Ex, monitor1_Hy, monitor2_Ex, monitor2_Hy,
frequency_domain=sim_param['frequency_domain'], frequency=sim_param['frequency'],
intf=getattr(model, 'interesting_frequencies', [0, model.src_freq+model.src_width]),
pad_zeros=1.0, Kx=sim_param.get('Ky', 0), Ky=sim_param.get('Ky', 0))
print 'np.abs(s11)', np.abs(s11)
if not os.path.isfile('ref.dat'): ## no reference yet, let us save one
print "Saving the fields as a reference"
meep_utils.savetxt(fname=model.simulation_name+".dat", fmt="%.6e",
X=zip(freq, np.abs(s11), np.angle(s11), np.abs(s12), np.angle(s12)),
header=model.parameterstring + meep_utils.sim_param_string(sim_param) + headerstring)
else: ## save fields normalized to the reference
print "Saving fields normalized to the reference (loaded from ref.dat)"
(fref, s11refabs, s11refangle, s12refabs, s12refangle) = np.loadtxt('ref.dat', usecols=list(range(5)), unpack=True)
meep_utils.savetxt(fname=model.simulation_name+"_NORMALIZED.dat", fmt="%.6e",
X=zip(freq, np.abs(s11)/s11refabs, np.angle(s11)-s11refangle, np.abs(s12)/s12refabs, np.angle(s12)-s12refangle),
header=model.parameterstring + meep_utils.sim_param_string(sim_param) + headerstring)
f.solve_cw(sim_param['MaxTol'], sim_param['MaxIter'],
sim_param['BiCGStab'])
for monitor in (monitor1_Ex, monitor1_Hy, monitor2_Ex, monitor2_Hy):
monitor.record(field=f)
for slice_ in slices:
slice_.finalize()
meep_utils.notify(model.simulation_name)
## Get the reflection and transmission of the structure
if meep.my_rank() == 0:
freq, s11, s12, headerstring = meep_utils.get_s_parameters(
monitor1_Ex,
monitor1_Hy,
monitor2_Ex,
monitor2_Hy,
frequency_domain=sim_param['frequency_domain'],
frequency=sim_param['frequency'],
intf=getattr(model, 'interesting_frequencies',
[0, model.src_freq + model.src_width]),
pad_zeros=1.0,
Kx=sim_param.get('Ky', 0),
Ky=sim_param.get('Ky', 0))
print 'np.abs(s11)', np.abs(s11)
if not os.path.isfile('ref.dat'): ## no reference yet, let us save one
print "Saving the fields as a reference"
meep_utils.savetxt(fname=model.simulation_name + ".dat",
fmt="%.6e",
X=zip(freq, np.abs(s11), np.angle(s11), np.abs(s12),
np.angle(s12)),
header=model.parameterstring +
meep_utils.sim_param_string(sim_param) +
