def get_monitor_data(monitor_name, monitor_field):
lumerical_data_name = "monitor_data_" + monitor_name + "_" + monitor_field
extracted_data_name = lumerical_data_name + "_data"
data_transfer_filename = projects_directory_location + "/data_transfer_" + monitor_name + "_" + monitor_field
command_read_monitor = lumerical_data_name + " = getresult(\'" + monitor_name + "\', \'" + monitor_field + "\');"
command_extract_data = extracted_data_name + " = " + lumerical_data_name + "." + monitor_field + ";"
command_save_data_to_file = "matlabsave(\'" + data_transfer_filename + "\', " + extracted_data_name + ");"
lumapi.evalScript(fdtd_hook.handle, command_read_monitor)
lumapi.evalScript(fdtd_hook.handle, command_extract_data)
# start_time = time.time()
lumapi.evalScript(fdtd_hook.handle, command_save_data_to_file)
monitor_data = {}
load_file = h5py.File(data_transfer_filename + ".mat", 'r')
monitor_data = np.array(load_file[extracted_data_name])
# end_time = time.time()
# print("\nIt took " + str(end_time - start_time) + " seconds to transfer the monitor data\n")
return monitor_data
def run_EME(contraDC, simulation_setup, close = True):
mode = lumapi.open('mode')
projectname = 'ContraDC_EME'
filename = 'ContraDC_EMEscript'
command ='cd("%s");'%dir_path
command += 'min_wavelength=%s;'%simulation_setup.lambda_start
command += 'max_wavelength=%s;'%simulation_setup.lambda_end
command += 'grating_period=%s;'%contraDC.period
command += 'Wa=%s;'%contraDC.w1
command += 'Wb=%s;'%contraDC.w2
command += 'dWa=%s;'%contraDC.dW1
command += 'dWb=%s;'%contraDC.dW2
command += 'gap=%s;'%contraDC.gap
command += 'number_of_periods=%s;'%contraDC.N
command += 'wl_ref = %s;'%simulation_setup.central_lambda
if contraDC.pol == 'TE':
command += "pol='TE';"
else:
command += "pol='TM';"
command += "load('%s');"%projectname
command += '%s;'%filename
lumapi.evalScript(mode, command)
delta_lambda_contra = lumapi.getVar(mode,"delta_lambda")
lambda_contra = lumapi.getVar(mode,"lambda0")
delta_lambda_self1 = lumapi.getVar(mode,"delta_lambda_self1")
delta_lambda_self2 = lumapi.getVar(mode,"delta_lambda_self2")
if close == True:
lumapi.close(mode)
return [delta_lambda_contra, delta_lambda_self1, delta_lambda_self2, lambda_contra]
def run_INTC():
intc = lumapi.open('interconnect')
svg_file = "contraDC.svg"
sparam_file = "ContraDC_sparams.dat"
command = 'cd("%s");' % dir_path
command += 'switchtodesign; new; deleteall; \n'
command += 'addelement("Optical N Port S-Parameter"); createcompound; select("COMPOUND_1");\n'
command += 'component = "contraDC"; set("name",component); \n'
command += 'seticon(component,"%s");\n' % (svg_file)
command += 'select(component+"::SPAR_1"); set("load from file", true);\n'
command += 'set("s parameters filename", "%s");\n' % (sparam_file)
command += 'set("load from file", false);\n'
command += 'set("passivity", "enforce");\n'
command += 'addport(component, "%s", "Bidirectional", "Optical Signal", "%s",%s);\n' % (
"Port 1", 'Left', 0.25)
command += 'connect(component+"::RELAY_%s", "port", component+"::SPAR_1", "port %s");\n' % (
1, 1)
command += 'addport(component, "%s", "Bidirectional", "Optical Signal", "%s",%s);\n' % (
"Port 2", 'Left', 0.75)
command += 'connect(component+"::RELAY_%s", "port", component+"::SPAR_1", "port %s");\n' % (
2, 2)
command += 'addport(component, "%s", "Bidirectional", "Optical Signal", "%s",%s);\n' % (
"Port 3", 'Right', 0.25)
command += 'connect(component+"::RELAY_%s", "port", component+"::SPAR_1", "port %s");\n' % (
3, 3)
command += 'addport(component, "%s", "Bidirectional", "Optical Signal", "%s",%s);\n' % (
"Port 4", 'Right', 0.75)
command += 'connect(component+"::RELAY_%s", "port", component+"::SPAR_1", "port %s");\n' % (
4, 4)
command += 'addtolibrary;\n'
lumapi.evalScript(intc, command)
return
def generate_dat( contraDC, simulation_setup, S_Matrix, close = True ):
mode = lumapi.open('mode')
# feed polarization into model
if contraDC.pol == 'TE':
lumapi.evalScript(mode,"mode_label = 'TE'; mode_ID = '1';")
elif contraDC.pol == 'TM':
lumapi.evalScript(mode,"mode_label = 'TM'; mode_ID = '2';")
# run write sparams script
lumapi.evalScript(mode,"cd('%s');"%dir_path)
lumapi.evalScript(mode,'write_sparams;')
if close == True:
lumapi.close(mode)
run_INTC()
return
def generate_dat(pol='TE', terminate=True):
mode = lumapi.open('mode')
# feed polarization into model
if pol == 'TE':
lumapi.evalScript(mode, "mode_label = 'TE'; mode_ID = '1';")
elif pol == 'TM':
lumapi.evalScript(mode, "mode_label = 'TM'; mode_ID = '2';")
# run write sparams script
lumapi.evalScript(mode, "cd('%s');" % dir_path)
lumapi.evalScript(mode, 'write_sparams;')
if terminate == True:
lumapi.close(mode)
run_INTC()
return
def generate_dat(contraDC, simulation_setup, S_Matrix, sfile, close=False):
global mode
if not (mode):
mode = lumapi.open("mode")
# feed polarization into model
if contraDC.pol == "TE":
lumapi.evalScript(mode, "mode_label = 'TE'; mode_ID = '1';")
elif contraDC.pol == "TM":
lumapi.evalScript(mode, "mode_label = 'TM'; mode_ID = '2';")
# run write sparams script
lumapi.evalScript(mode, "cd('%s'); sfile = '%s'; " % (dir_path, sfile))
lumapi.evalScript(mode, "write_sparams;")
if close:
lumapi.close(mode)
# run_INTC()
return
def get_monitor_data(monitor_name, monitor_field):
lumerical_data_name = "monitor_data_" + monitor_name + "_" + monitor_field
extracted_data_name = lumerical_data_name + "_data"
data_transfer_filename = projects_directory_location + "/data_transfer_" + monitor_name + "_" + monitor_field
command_read_monitor = lumerical_data_name + " = getresult(\'" + monitor_name + "\', \'" + monitor_field + "\');"
command_extract_data = extracted_data_name + " = " + lumerical_data_name + "." + monitor_field + ";"
command_save_data_to_file = "matlabsave(\'" + data_transfer_filename + "\', " + extracted_data_name + ");"
lumapi.evalScript(fdtd_hook.handle, command_read_monitor)
lumapi.evalScript(fdtd_hook.handle, command_extract_data)
lumapi.evalScript(fdtd_hook.handle, command_save_data_to_file)
monitor_data = {}
load_file = h5py.File(data_transfer_filename + ".mat", 'r')
monitor_data = np.array(load_file[extracted_data_name])
return monitor_data
def get_efield_interpolated(monitor_name, spatial_limits_um, new_size):
field_polarizations = ['Ex', 'Ey', 'Ez']
spatial_components = ['x', 'y', 'z']
data_xfer_size_MB = 0
start = time.time()
for coord_idx in range(0, len(spatial_limits_um)):
command_setup_old_coord = "old_coord_space_" + str(
coord_idx
) + " = getdata(\'" + monitor_name + "\', \'" + spatial_components[
coord_idx] + "\');"
command_setup_new_coord = "new_coord_space_" + str(
coord_idx) + " = 1e-6 * linspace( " + str(
spatial_limits_um[coord_idx][0]) + ", " + str(
spatial_limits_um[coord_idx][1]) + ", " + str(
new_size[coord_idx]) + " );"
lumapi.evalScript(fdtd_hook.handle, command_setup_old_coord)
lumapi.evalScript(fdtd_hook.handle, command_setup_new_coord)
total_efield = np.zeros([len(field_polarizations)] + list(new_size) +
[num_design_frequency_points],
dtype=np.complex)
for pol_idx in range(0, len(field_polarizations)):
lumerical_data_name = "monitor_data_" + monitor_name + "_E"
command_make_interpolated_array = "interpolated_data = zeros( "
for coord_idx in range(0, len(spatial_limits_um)):
command_make_interpolated_array += str(new_size[coord_idx]) + ", "
command_make_interpolated_array += str(
num_design_frequency_points) + " );"
lumapi.evalScript(fdtd_hook.handle, command_make_interpolated_array)
command_read_monitor = lumerical_data_name + " = getdata(\'" + monitor_name + "\', \'" + field_polarizations[
pol_idx] + "\');"
lumapi.evalScript(fdtd_hook.handle, command_read_monitor)
for wl_idx in range(0, num_design_frequency_points):
command_data_by_wavelength = "wl_data = pinch( " + lumerical_data_name + "( :, :, :, " + str(
wl_idx + 1) + " ) );"
command_reassemble_by_wavelength = "interpolated_data( :, :, :, " + str(
wl_idx + 1) + " ) = interpolated;"
command_interpolate = "interpolated = interp( wl_data, "
for coord_idx in range(0, len(spatial_limits_um)):
command_interpolate += "old_coord_space_" + str(
coord_idx) + ", "
for coord_idx in range(0, len(spatial_limits_um)):
command_interpolate += "new_coord_space_" + str(coord_idx)
if coord_idx < (len(spatial_limits_um) - 1):
command_interpolate += ", "
command_interpolate += " );"
lumapi.evalScript(fdtd_hook.handle, command_data_by_wavelength)
lumapi.evalScript(fdtd_hook.handle, command_interpolate)
lumapi.evalScript(fdtd_hook.handle,
command_reassemble_by_wavelength)
Epol = fdtd_hook.getv("interpolated_data")
data_xfer_size_MB += Epol.nbytes / (1024. * 1024.)
total_efield[pol_idx] = Epol
# Epol_0 = fdtd_hook.getdata( monitor_name, field_polarizations[ 0 ] )
# data_xfer_size_MB += Epol_0.nbytes / ( 1024. * 1024. )
# total_efield = np.zeros( [ len (field_polarizations ) ] + list( Epol_0.shape ), dtype=np.complex )
# total_efield[ 0 ] = Epol_0
# for pol_idx in range( 1, len( field_polarizations ) ):
# Epol = fdtd_hook.getdata( monitor_name, field_polarizations[ pol_idx ] )
# data_xfer_size_MB += Epol.nbytes / ( 1024. * 1024. )
# total_efield[ pol_idx ] = Epol
elapsed = time.time() - start
date_xfer_rate_MB_sec = data_xfer_size_MB / elapsed
log_file = open(projects_directory_location + "/log.txt", 'a')
log_file.write("Transferred " + str(data_xfer_size_MB) + " MB\n")
log_file.write("Data rate = " + str(date_xfer_rate_MB_sec) + " MB/sec\n\n")
log_file.close()
return total_efield
# Run the optimization
#
for epoch in range(start_epoch, num_epochs):
bayer_filter.update_filters(epoch)
for iteration in range(0, num_iterations_per_epoch):
iteration_start_time = time.time()
print("Working on epoch " + str(epoch) + " and iteration " +
str(iteration))
fdtd_hook.load(projects_directory_location + "/optimization.fsp")
job_names = {}
# fdtd_hook.switchtolayout()
lumapi.evalScript(fdtd_hook.handle, 'switchtolayout;')
cur_permittivity = np.flip(bayer_filter.get_permittivity(), axis=2)
np.save(projects_directory_location + "/cur_permittivity.npy",
cur_permittivity)
cur_index = np.sqrt(cur_permittivity)
# bordered_replicated_index = border_and_replicate_device( cur_index, device_border_voxels, min_device_index )
fdtd_hook.select(design_import['name'])
fdtd_hook.importnk2(cur_index, bayer_filter_region_x,
bayer_filter_region_y, bayer_filter_region_z)
num_fdtd_jobs = 0
def run_mode(contraDC, simulation_setup, close=False):
global mode
if not (mode):
mode = lumapi.open('mode')
# feed parameters into model
command = "gap = %s; width_1 = %s; width_2 = %s; thick_Si = %s; period = %s;"
lumapi.evalScript(
mode, command % (contraDC.gap, contraDC.w1, contraDC.w2,
contraDC.thick_si, contraDC.period))
command = "wavelength = %s; wavelength_stop = %s;"
lumapi.evalScript(
mode, "wavelength = %s; wavelength_stop = %s;" %
(simulation_setup.lambda_start, simulation_setup.lambda_end))
if contraDC.pol == 'TE':
lumapi.evalScript(mode, "pol = 'TE';")
elif contraDC.pol == 'TM':
lumapi.evalScript(mode, "pol = 'TM';")
if contraDC.slab == True:
lumapi.evalScript(mode, "slab = 1;")
lumapi.evalScript(mode, "thick_Slab = %s;" % (contraDC.thick_slab))
else:
lumapi.evalScript(mode, "slab = 0;")
lumapi.evalScript(mode, "thick_Slab = 0;")
# run dispersion analysis script
lumapi.evalScript(mode, "cd('%s');" % dir_path)
lumapi.evalScript(mode, 'dispersion_2WG;')
# contra-directional coupling
neff_data = lumapi.getVar(mode, 'n_eff_data')
lambda_fit = lumapi.getVar(mode, 'lambda_fit')
ng_contra = lumapi.getVar(mode, 'ng0')
# self-coupling
ng1 = lumapi.getVar(mode, 'ng0_self1')
ng2 = lumapi.getVar(mode, 'ng0_self2')
lambda_self1 = lumapi.getVar(mode, 'self1_lambda')
lambda_self2 = lumapi.getVar(mode, 'self2_lambda')
if close == True:
lumapi.close(mode)
return [
neff_data, lambda_fit, ng_contra, ng1, ng2, lambda_self1, lambda_self2
]
def run_FDTD(contraDC, simulation_setup, close=False):
c = 299792458 #[m/s]
frequency_start = c / simulation_setup.lambda_end
frequency_end = c / simulation_setup.lambda_start
fdtd = lumapi.open('fdtd') #,hide=True)
filename = 'contraDC_bandstructure'
lumapi.evalScript(
fdtd,
"load('%s'); setnamed('::model','gap',%s); setnamed('::model','ax',%s); setnamed('::model','sinusoidal',%s)"
% (filename, contraDC.gap, contraDC.period, contraDC.sinusoidal))
if contraDC.slab == True:
lumapi.evalScript(
fdtd,
"setnamed('::model','slab',1); setnamed('::model','slab_thickness',%s);"
% (contraDC.thick_slab))
if contraDC.sinusoidal == True:
lumapi.evalScript(fdtd, "setnamed('::mode','sinusoidal',1);")
lumapi.evalScript(
fdtd,
"setnamed('::model','bus1_width',%s); setnamed('::model','bus1_delta',%s); setnamed('::model','bus2_width',%s); setnamed('::model','bus2_delta',%s);setnamed('::model','si_thickness',%s);"
% (contraDC.w1, contraDC.dW1, contraDC.w2, contraDC.dW2,
contraDC.thick_si))
lumapi.evalScript(
fdtd, "setnamed('::model','f1',%s); setnamed('::model','f2',%s);" %
(frequency_start, frequency_end))
lumapi.evalScript(fdtd, "cd('%s');" % dir_path)
lumapi.evalScript(fdtd, 'kappa_bandstructure;')
delta_lambda_contra = lumapi.getVar(fdtd, "delta_lambda")
lambda_contra = lumapi.getVar(fdtd, "lambda0")
delta_lambda_self1 = lumapi.getVar(fdtd, "delta_lambda_self1")
delta_lambda_self2 = lumapi.getVar(fdtd, "delta_lambda_self2")
if close == True:
lumapi.close(fdtd)
return [
delta_lambda_contra, delta_lambda_self1, delta_lambda_self2,
lambda_contra
]
def lumapi_set_wavelength( wl_idx ): # lumerical script is one indexed so need to adjust from python indexing cmd = "wl_idx = " + str( wl_idx + 1 ) + ";" lumapi.evalScript( fdtd_hook.handle, cmd )
get_fom = fom_color( transmission_by_wavelength ) fom_by_gsst_state.append( get_fom ) # figure_of_merit_by_iteration_by_state_by_wavelength[ iteration, gsst_state, : ] = transmission_fom # fom_by_temp.append( transmission_fom )# np.mean( transmission_fom ) ) forward_e_fields = get_complex_monitor_data( design_efield_monitor[ 'name' ], 'E' ) # if gsst_state == 0: # for i in range( 0, 2 ): # gradient_by_temp.append( np.zeros( forward_e_fields[ 0, 0 ].shape ) ) adjoint_e_fields = np.zeros( forward_e_fields.shape, dtype=np.complex ) lumapi.evalScript( fdtd_hook.handle, ''.join( lumapi_pull_results.split() ) ) for wl_idx in range( 0, num_design_frequency_points ): fdtd_hook.switchtolayout() lumapi_set_wavelength( wl_idx ) shutil.copy( projects_directory_location + "/optimization.fsp", projects_directory_location + "/optimization_gsst_state_" + str( gsst_state ) + ".fsp" ) disable_all_sources() top_adjoint_source.enabled = 1 lumapi.evalScript( fdtd_hook.handle, ''.join( lumapi_import_source.split() )
def disable_all_sources(): lumapi.evalScript(fdtd_hook.handle, 'switchtolayout;') for xy_idx in range(0, 2): fdtd_hook.select( forward_sources[xy_idx]['name'] ) fdtd_hook.set( 'enabled', 0 )
# forward_src['wavelength start'] = lambda_min_um * 1e-6
# forward_src['wavelength stop'] = lambda_max_um * 1e-6
forward_src = fdtd_hook.addimportedsource()
forward_src['name'] = 'forward_src_' + xy_names[xy_idx]
forward_src['direction'] = 'Backward'
# forward_src['x span'] = fdtd_region_size_lateral_um * 1e-6
# forward_src['y span'] = fdtd_region_size_lateral_um * 1e-6
forward_src['x'] = 0 * 1e-6
forward_src['y'] = 0 * 1e-6
forward_src['z'] = src_maximum_vertical_um * 1e-6
forward_src['wavelength start'] = src_lambda_min_um * 1e-6
forward_src['wavelength stop'] = src_lambda_max_um * 1e-6
lumapi.evalScript(
fdtd_hook.handle,
'matlabload( \'' + str(custom_source_paths[xy_idx]) + '\' );')
lumapi.evalScript(
fdtd_hook.handle, 'src_dataset = rectilineardataset( x, y, ' +
str(src_maximum_vertical_um) + ' );')
lumapi.evalScript(
fdtd_hook.handle,
'src_dataset.addparameter( \'lambda\', lambda, \'f\', f );')
lumapi.evalScript(fdtd_hook.handle,
'src_dataset.addattribute( \'E\', E );')
lumapi.evalScript(fdtd_hook.handle,
'src_dataset.addattribute( \'H\', H );')
fdtd_hook.select(forward_src['name'])
lumapi.evalScript(fdtd_hook.handle, 'importdataset( src_dataset );')
lumapi.evalScript(fdtd_hook.handle, 'clear;')
