def save_and_plot_data(data, histogram):
#Data processing
sync = 2**par_binsize_sync * arange(par_range_sync) / 1e3 #sync axis in ns
dt = 2**par_binsize_g2 * linspace(-par_range_g2 / 2, par_range_g2 / 2,
par_range_g2) / 1e3 #dt axis in ns
X, Y = meshgrid(dt, sync)
data.create_file()
#plt = qt.Plot3D(data, name='Interference',clear = Truprint 'Optimisation step completed'e, coorddims=(0,1), valdim=1, style='image')
#data.add_data_point(ravel(X),ravel(Y),ravel(histogram))
filename = data.get_filepath()[:-4]
pqm.savez(filename, dt=dt, sync=sync, counts=histogram)
#Plot Data
plt = plot3(ravel(X),
ravel(Y),
ravel(histogram),
style='image',
palette='hot',
title='interference')
#data.new_block()
plt.set_xlabel('dt [ns]')
plt.set_ylabel('delay wrt sync pulse [ns]')
plt.save_png(filename)
data.close_file()
print 'interference, bitch'
print '(entanglement expected in 3 weeks)'
def save_and_plot_data(data,histogram):
#Data processing
sync = 2**par_binsize_sync * arange(par_range_sync) * 1e3 #sync axis in ns
dt = 2**par_binsize_g2 * linspace(-par_range_g2/2,par_range_g2/2,par_range_g2)*1e3 #dt axis in ns
X,Y = meshgrid(dt, sync)
data.create_file()
#plt = qt.Plot3D(data, name='Interference',clear = True, coorddims=(0,1), valdim=1, style='image')
data.add_data_point(ravel(X),ravel(Y),ravel(histogram))
filename=data.get_filepath()[:-4]
pqm.savez(filename,dt=dt,sync=sync, counts=histogram)
#Plot Data
plt = plot3(ravel(X),ravel(Y),ravel(histogram),
style='image',palette='hot',
title='interference')
#data.new_block()
plt.set_xlabel('dt [ns]')
plt.set_ylabel('delay wrt sync pulse [ns]')
plt.save_png(filename)
data.close_file()
print 'interference'
print '(entanglement expected in 3 weeks)'
def save_and_plot_data(data, histogram, histogram_summed, hist_ch0, hist_ch1,
hist_ch1_long, hist_roi, hist_roi_summed):
#Data processing
adpars_lt1 = adwin_lt1.get_remote_tpqi_control_var('par')
adpars_lt2 = adwin_lt2.get_remote_tpqi_control_var('par')
sync = 2**(par_binsize_sync +
par_binsize_T3) * arange(par_range_sync) / 1e3 #sync axis in ns
dt = 2**(par_binsize_g2+par_binsize_T3) * \
linspace(-par_range_g2/2,par_range_g2/2,par_range_g2)/ 1e3 #dt axis in ns
data.create_file()
max_cts = 100
cr_hist_LT1_first = physical_adwin_lt1.Get_Data_Long(7, 1, max_cts)
cr_hist_LT1_total = physical_adwin_lt1.Get_Data_Long(8, 1, max_cts)
cr_hist_LT2_first = physical_adwin.Get_Data_Long(7, 1, max_cts)
cr_hist_LT2_total = physical_adwin.Get_Data_Long(8, 1, max_cts)
physical_adwin_lt1.Set_Data_Long(zeros(max_cts, dtype=int32), 7, 1,
max_cts)
physical_adwin_lt1.Set_Data_Long(zeros(max_cts, dtype=int32), 8, 1,
max_cts)
physical_adwin.Set_Data_Long(zeros(max_cts, dtype=int32), 7, 1, max_cts)
physical_adwin.Set_Data_Long(zeros(max_cts, dtype=int32), 8, 1, max_cts)
filename = data.get_filepath()[:-4]
pqm.savez(filename,
dt=dt,
sync=sync,
counts=histogram,
counts_summed=histogram_summed,
hist_ch0=hist_ch0,
hist_ch1=hist_ch1,
hist_ch1_long=hist_ch1_long,
hist_roi=hist_roi,
hist_roi_summed=hist_roi_summed,
cr_hist_LT1_first=cr_hist_LT1_first,
cr_hist_LT1_total=cr_hist_LT1_total,
cr_hist_LT2_first=cr_hist_LT2_first,
cr_hist_LT2_total=cr_hist_LT2_total,
adwin_lt1_pars=adpars_lt1,
adwin_lt2_pars=adpars_lt2)
#Plot Data
do_plot = not (debug_mode)
if do_plot:
plt = plot(dt, hist_roi)
plt.set_xlabel('dt [ns]')
plt.set_ylabel('number of coincidences in current cycle')
plt.save_png(filename + '.png')
plt.clear()
plt = plot(dt, hist_roi_summed)
plt.set_xlabel('dt [ns]')
plt.set_ylabel('number of coincidences in total')
plt.save_png(filename + 'total.png')
plt.clear()
data.close_file()
def save_and_plot_data(data, histogram, histogram_summed, hist_ch0, hist_ch1,
hist_ch1_long):
#Data processing
sync = 2**(par_binsize_sync +
par_binsize_T3) * arange(par_range_sync) / 1e3 #sync axis in ns
dt = 2**(par_binsize_g2 + par_binsize_T3) * linspace(
-par_range_g2 / 2, par_range_g2 / 2,
par_range_g2) / 1e3 #dt axis in ns
X, Y = meshgrid(dt, sync)
data.create_file()
#plt = qt.Plot3D(data, name='Interference',clear = Truprint 'Optimisation step completed'e, coorddims=(0,1), valdim=1, style='image')
#data.add_data_point(ravel(X),ravel(Y),ravel(histogram))
max_cts = 100
cr_hist_LT1_first = physical_adwin_lt1.Get_Data_Long(71, 1, max_cts)
cr_hist_LT1_total = physical_adwin_lt1.Get_Data_Long(72, 1, max_cts)
cr_hist_LT2_first = physical_adwin.Get_Data_Long(71, 1, max_cts)
cr_hist_LT2_total = physical_adwin.Get_Data_Long(72, 1, max_cts)
physical_adwin_lt1.Set_Data_Long(zeros(max_cts, dtype=int32), 71, 1,
max_cts)
physical_adwin_lt1.Set_Data_Long(zeros(max_cts, dtype=int32), 72, 1,
max_cts)
physical_adwin.Set_Data_Long(zeros(max_cts, dtype=int32), 71, 1, max_cts)
physical_adwin.Set_Data_Long(zeros(max_cts, dtype=int32), 72, 1, max_cts)
filename = data.get_filepath()[:-4]
pqm.savez(filename,
dt=dt,
sync=sync,
counts=histogram,
counts_summed=histogram_summed,
hist_ch0=hist_ch0,
hist_ch1=hist_ch1,
hist_ch1_long=hist_ch1_long,
cr_hist_LT1_first=cr_hist_LT1_first,
cr_hist_LT1_total=cr_hist_LT1_total,
cr_hist_LT2_first=cr_hist_LT2_first,
cr_hist_LT2_total=cr_hist_LT2_total)
#Plot Data
do_plot = False
if do_plot:
plt = plot3(ravel(X),
ravel(Y),
ravel(histogram),
style='image',
palette='hot',
title='interference')
data.new_block()
plt.set_xlabel('dt [ns]')
plt.set_ylabel('delay wrt sync pulse [ns]')
plt.save_png(filename)
data.close_file()
print 'interference, bitch'
print '(entanglement expected in 3 weeks)'
def save_and_plot_data(data,histogram,histogram_summed,
hist_ch0,hist_ch1,hist_ch1_long,hist_roi,hist_roi_summed):
#Data processing
adpars_lt1 = adwin_lt1.get_remote_tpqi_control_var('par')
adpars_lt2 = adwin_lt2.get_remote_tpqi_control_var('par')
sync = 2**(par_binsize_sync+par_binsize_T3) * arange(par_range_sync) / 1e3 #sync axis in ns
dt = 2**(par_binsize_g2+par_binsize_T3) * \
linspace(-par_range_g2/2,par_range_g2/2,par_range_g2)/ 1e3 #dt axis in ns
data.create_file()
max_cts = 100
cr_hist_LT1_first = physical_adwin_lt1.Get_Data_Long(7,1,max_cts)
cr_hist_LT1_total = physical_adwin_lt1.Get_Data_Long(8,1,max_cts)
cr_hist_LT2_first = physical_adwin.Get_Data_Long(7,1,max_cts)
cr_hist_LT2_total = physical_adwin.Get_Data_Long(8,1,max_cts)
physical_adwin_lt1.Set_Data_Long(zeros(max_cts,dtype=int32),7,1,max_cts)
physical_adwin_lt1.Set_Data_Long(zeros(max_cts,dtype=int32),8,1,max_cts)
physical_adwin.Set_Data_Long(zeros(max_cts,dtype=int32),7,1,max_cts)
physical_adwin.Set_Data_Long(zeros(max_cts,dtype=int32),8,1,max_cts)
filename=data.get_filepath()[:-4]
pqm.savez(filename,
dt=dt,
sync=sync,
counts=histogram,
counts_summed = histogram_summed,
hist_ch0=hist_ch0,
hist_ch1=hist_ch1,
hist_ch1_long=hist_ch1_long,
hist_roi = hist_roi,
hist_roi_summed = hist_roi_summed,
cr_hist_LT1_first=cr_hist_LT1_first,
cr_hist_LT1_total=cr_hist_LT1_total,
cr_hist_LT2_first=cr_hist_LT2_first,
cr_hist_LT2_total=cr_hist_LT2_total,
adwin_lt1_pars = adpars_lt1,
adwin_lt2_pars = adpars_lt2)
#Plot Data
do_plot=not(debug_mode)
if do_plot:
plt = plot(dt,hist_roi)
plt.set_xlabel('dt [ns]')
plt.set_ylabel('number of coincidences in current cycle')
plt.save_png(filename+'.png')
plt.clear()
plt = plot(dt,hist_roi_summed)
plt.set_xlabel('dt [ns]')
plt.set_ylabel('number of coincidences in total')
plt.save_png(filename+'total.png')
plt.clear()
data.close_file()
def save_and_plot_data(data,histogram,histogram_summed,hist_ch0,hist_ch1,hist_ch1_long,hist_roi,hist_roi_summed):
#Data processing
sync = 2**(par_binsize_sync+par_binsize_T3) * arange(par_range_sync) / 1e3 #sync axis in ns
dt = 2**(par_binsize_g2+par_binsize_T3) * linspace(-par_range_g2/2,par_range_g2/2,par_range_g2)/ 1e3 #dt axis in ns
#X,Y = meshgrid(dt, sync)
data.create_file()
#plt = qt.Plot3D(data, name='Interference',clear = Truprint 'Optimisation step completed'e, coorddims=(0,1), valdim=1, style='image')
#data.add_data_point(ravel(X),ravel(Y),ravel(histogram))
max_cts = 100
cr_hist_LT1_first = physical_adwin_lt1.Get_Data_Long(7,1,max_cts)
cr_hist_LT1_total = physical_adwin_lt1.Get_Data_Long(8,1,max_cts)
cr_hist_LT2_first = physical_adwin.Get_Data_Long(7,1,max_cts)
cr_hist_LT2_total = physical_adwin.Get_Data_Long(8,1,max_cts)
physical_adwin_lt1.Set_Data_Long(zeros(max_cts,dtype=int32),7,1,max_cts)
physical_adwin_lt1.Set_Data_Long(zeros(max_cts,dtype=int32),8,1,max_cts)
physical_adwin.Set_Data_Long(zeros(max_cts,dtype=int32),7,1,max_cts)
physical_adwin.Set_Data_Long(zeros(max_cts,dtype=int32),8,1,max_cts)
filename=data.get_filepath()[:-4]
pqm.savez(filename,
dt=dt,
sync=sync,
counts=histogram,
counts_summed = histogram_summed,
hist_ch0=hist_ch0,
hist_ch1=hist_ch1,
hist_ch1_long=hist_ch1_long,
hist_roi = hist_roi,
hist_roi_summed = hist_roi_summed,
cr_hist_LT1_first=cr_hist_LT1_first,
cr_hist_LT1_total=cr_hist_LT1_total,
cr_hist_LT2_first=cr_hist_LT2_first,
cr_hist_LT2_total=cr_hist_LT2_total)
#Plot Data
do_plot=not(debug_mode)
if do_plot:
plt = plot(dt,hist_roi)
plt.set_xlabel('dt [ns]')
plt.set_ylabel('number of coincidences in current cycle')
plt.save_png(filename+'.png')
plt.clear()
plt = plot(dt,hist_roi_summed)
plt.set_xlabel('dt [ns]')
plt.set_ylabel('number of coincidences in total')
plt.save_png(filename+'total.png')
plt.clear()
data.close_file()
print 'interference, bitch'
print '(entanglement expected in 3 weeks)'
def save_and_plot_data(data,histogram,histogram_summed,hist_ch0,hist_ch1,hist_ch1_long,hist_roi,hist_roi_summed):
#Data processing
sync = 2**(par_binsize_sync+par_binsize_T3) * arange(par_range_sync) / 1e3 #sync axis in ns
dt = 2**(par_binsize_g2+par_binsize_T3) * linspace(-par_range_g2/2,par_range_g2/2,par_range_g2)/ 1e3 #dt axis in ns
#X,Y = meshgrid(dt, sync)
data.create_file()
#plt = qt.Plot3D(data, name='Interference',clear = Truprint 'Optimisation step completed'e, coorddims=(0,1), valdim=1, style='image')
#data.add_data_point(ravel(X),ravel(Y),ravel(histogram))
max_cts = 100
cr_hist_LT1_first = physical_adwin_lt1.Get_Data_Long(7,1,max_cts)
cr_hist_LT1_total = physical_adwin_lt1.Get_Data_Long(8,1,max_cts)
cr_hist_LT2_first = physical_adwin.Get_Data_Long(7,1,max_cts)
cr_hist_LT2_total = physical_adwin.Get_Data_Long(8,1,max_cts)
physical_adwin_lt1.Set_Data_Long(zeros(max_cts,dtype=int32),7,1,max_cts)
physical_adwin_lt1.Set_Data_Long(zeros(max_cts,dtype=int32),8,1,max_cts)
physical_adwin.Set_Data_Long(zeros(max_cts,dtype=int32),7,1,max_cts)
physical_adwin.Set_Data_Long(zeros(max_cts,dtype=int32),8,1,max_cts)
filename=data.get_filepath()[:-4]
pqm.savez(filename,
dt=dt,
sync=sync,
counts=histogram,
counts_summed = histogram_summed,
hist_ch0=hist_ch0,
hist_ch1=hist_ch1,
hist_ch1_long=hist_ch1_long,
hist_roi = hist_roi,
hist_roi_summed = hist_roi_summed,
cr_hist_LT1_first=cr_hist_LT1_first,
cr_hist_LT1_total=cr_hist_LT1_total,
cr_hist_LT2_first=cr_hist_LT2_first,
cr_hist_LT2_total=cr_hist_LT2_total)
#Plot Data
do_plot=not(debug_mode)
if do_plot:
plt = plot(dt,hist_roi)
plt.set_xlabel('dt [ns]')
plt.set_ylabel('number of coincidences in current cycle')
plt.save_png(filename+'.png')
plt.clear()
plt = plot(dt,hist_roi_summed)
plt.set_xlabel('dt [ns]')
plt.set_ylabel('number of coincidences in total')
plt.save_png(filename+'total.png')
plt.clear()
data.close_file()
print 'interference, bitch'
print '(entanglement expected in 3 weeks)'
def save_and_plot_data(data, hist_ch0, hist_ch1, gated_ch0, gated_ch1,
gated_ch0_summed, gated_ch1_summed):
#Data processing
dt = 2**(par_binsize_T3) * arange(0, par_range_g2) / 1e3 #dt axis in ns
#X,Y = meshgrid(dt, sync)
data.create_file()
max_cts = 100
cr_hist_LT1_first = physical_adwin_lt1.Get_Data_Long(7, 1, max_cts)
cr_hist_LT1_total = physical_adwin_lt1.Get_Data_Long(8, 1, max_cts)
cr_hist_LT2_first = physical_adwin.Get_Data_Long(7, 1, max_cts)
cr_hist_LT2_total = physical_adwin.Get_Data_Long(8, 1, max_cts)
physical_adwin_lt1.Set_Data_Long(zeros(max_cts, dtype=int32), 7, 1,
max_cts)
physical_adwin_lt1.Set_Data_Long(zeros(max_cts, dtype=int32), 8, 1,
max_cts)
physical_adwin.Set_Data_Long(zeros(max_cts, dtype=int32), 7, 1, max_cts)
physical_adwin.Set_Data_Long(zeros(max_cts, dtype=int32), 8, 1, max_cts)
filename = data.get_filepath()[:-4]
pqm.savez(filename,
dt=dt,
hist_ch0=hist_ch0,
hist_ch1=hist_ch1,
gated_ch0=gated_ch0,
gated_ch1=gated_ch1,
gated_ch0_summed=gated_ch0_summed,
gated_ch1_summed=gated_ch1_summed,
cr_hist_LT1_first=cr_hist_LT1_first,
cr_hist_LT1_total=cr_hist_LT1_total,
cr_hist_LT2_first=cr_hist_LT2_first,
cr_hist_LT2_total=cr_hist_LT2_total)
#Plot Data
do_plot = not (debug_mode)
if do_plot:
plt = plot(dt, gated_ch0, name='plu_ch0', clear=True)
plt.add(dt, hist_ch0)
plt.set_ylog(True)
plt.set_xrange(25, 130)
plt.set_xlabel('dt [ns]')
plt.set_ylabel('Gated histogram ch0')
plt.save_png(filename + '_gated_ch0.png')
plt = plot(dt, gated_ch1, name='plu_ch1', clear=True)
plt.add(dt, hist_ch1)
plt.set_ylog(True)
plt.set_xrange(25, 130)
plt.set_xlabel('dt [ns]')
plt.set_ylabel('Gated histogram ch1')
plt.save_png(filename + '_gated_ch1.png')
data.close_file()
def save_and_plot_data(data,hist_ch0,hist_ch1,gated_ch0,gated_ch1,gated_ch0_summed,gated_ch1_summed ):
#Data processing
dt = 2**(par_binsize_T3) * arange(0,par_range_g2)/ 1e3 #dt axis in ns
#X,Y = meshgrid(dt, sync)
data.create_file()
max_cts = 100
cr_hist_LT1_first = physical_adwin_lt1.Get_Data_Long(7,1,max_cts)
cr_hist_LT1_total = physical_adwin_lt1.Get_Data_Long(8,1,max_cts)
cr_hist_LT2_first = physical_adwin.Get_Data_Long(7,1,max_cts)
cr_hist_LT2_total = physical_adwin.Get_Data_Long(8,1,max_cts)
physical_adwin_lt1.Set_Data_Long(zeros(max_cts,dtype=int32),7,1,max_cts)
physical_adwin_lt1.Set_Data_Long(zeros(max_cts,dtype=int32),8,1,max_cts)
physical_adwin.Set_Data_Long(zeros(max_cts,dtype=int32),7,1,max_cts)
physical_adwin.Set_Data_Long(zeros(max_cts,dtype=int32),8,1,max_cts)
filename=data.get_filepath()[:-4]
pqm.savez(filename,
dt=dt,
hist_ch0=hist_ch0,
hist_ch1=hist_ch1,
gated_ch0=gated_ch0,
gated_ch1=gated_ch1,
gated_ch0_summed=gated_ch0_summed,
gated_ch1_summed=gated_ch1_summed,
cr_hist_LT1_first=cr_hist_LT1_first,
cr_hist_LT1_total=cr_hist_LT1_total,
cr_hist_LT2_first=cr_hist_LT2_first,
cr_hist_LT2_total=cr_hist_LT2_total)
#Plot Data
do_plot=not(debug_mode)
if do_plot:
plt = plot(dt,gated_ch0, name='plu_ch0', clear=True)
plt.add(dt,hist_ch0)
plt.set_ylog(True)
plt.set_xrange(25,130)
plt.set_xlabel('dt [ns]')
plt.set_ylabel('Gated histogram ch0')
plt.save_png(filename+'_gated_ch0.png')
plt = plot(dt,gated_ch1, name='plu_ch1', clear=True)
plt.add(dt,hist_ch1)
plt.set_ylog(True)
plt.set_xrange(25,130)
plt.set_xlabel('dt [ns]')
plt.set_ylabel('Gated histogram ch1')
plt.save_png(filename+'_gated_ch1.png')
data.close_file()
def save_data():
mw_pulse_length = length
counts_during_repump = physical_adwin.Get_Data_Long(27,0, nr_of_datapoints+1)
data.create_file()
filename=data.get_filepath()[:-4]
pqm.savez(filename, repetitions_per_datapoint = repetitions_per_datapoint,
mw_pulse_length = length,
counts_during_repump = counts_during_repump,)
data.close_file()
print 'Data saved'
def save_and_plot_data(data,histogram,histogram_summed,hist_ch0,hist_ch1,hist_ch1_long):
#Data processing
sync = 2**(par_binsize_sync+par_binsize_T3) * arange(par_range_sync) / 1e3 #sync axis in ns
dt = 2**(par_binsize_g2+par_binsize_T3) * linspace(-par_range_g2/2,par_range_g2/2,par_range_g2)/ 1e3 #dt axis in ns
X,Y = meshgrid(dt, sync)
data.create_file()
#plt = qt.Plot3D(data, name='Interference',clear = Truprint 'Optimisation step completed'e, coorddims=(0,1), valdim=1, style='image')
#data.add_data_point(ravel(X),ravel(Y),ravel(histogram))
max_cts = 100
cr_hist_LT1_first = physical_adwin_lt1.Get_Data_Long(71,1,max_cts)
cr_hist_LT1_total = physical_adwin_lt1.Get_Data_Long(72,1,max_cts)
cr_hist_LT2_first = physical_adwin.Get_Data_Long(71,1,max_cts)
cr_hist_LT2_total = physical_adwin.Get_Data_Long(72,1,max_cts)
physical_adwin_lt1.Set_Data_Long(zeros(max_cts,dtype=int32),71,1,max_cts)
physical_adwin_lt1.Set_Data_Long(zeros(max_cts,dtype=int32),72,1,max_cts)
physical_adwin.Set_Data_Long(zeros(max_cts,dtype=int32),71,1,max_cts)
physical_adwin.Set_Data_Long(zeros(max_cts,dtype=int32),72,1,max_cts)
filename=data.get_filepath()[:-4]
pqm.savez(filename,
dt=dt,
sync=sync,
counts=histogram,
counts_summed = histogram_summed,
hist_ch0=hist_ch0,
hist_ch1=hist_ch1,
hist_ch1_long=hist_ch1_long,
cr_hist_LT1_first=cr_hist_LT1_first,
cr_hist_LT1_total=cr_hist_LT1_total,
cr_hist_LT2_first=cr_hist_LT2_first,
cr_hist_LT2_total=cr_hist_LT2_total)
#Plot Data
do_plot=False
if do_plot:
plt = plot3(ravel(X),ravel(Y),ravel(histogram),
style='image',palette='hot',
title='interference')
data.new_block()
plt.set_xlabel('dt [ns]')
plt.set_ylabel('delay wrt sync pulse [ns]')
plt.save_png(filename)
data.close_file()
print 'interference, bitch'
print '(entanglement expected in 3 weeks)'
def save_data():
mw_pulse_length = length
counts_during_repump = physical_adwin.Get_Data_Long(
27, 0, nr_of_datapoints + 1)
data.create_file()
filename = data.get_filepath()[:-4]
pqm.savez(
filename,
repetitions_per_datapoint=repetitions_per_datapoint,
mw_pulse_length=length,
counts_during_repump=counts_during_repump,
)
data.close_file()
print 'Data saved'
def save_data():
data = qt.Data(name='spin_control')
data.add_coordinate('mw_pulse_length')
data.add_value('counts_during_readout')
mw_pulse_length = length
counts_during_readout = physical_adwin.Get_Data_Long(27,1, nr_of_datapoints)
data.create_file()
filename=data.get_filepath()[:-4]
pqm.savez(filename, repetitions_per_datapoint = repetitions_per_datapoint,
mw_pulse_length = length,
counts_during_readout = counts_during_readout)
data.close_file()
print 'Data saved'
def save_and_plot_data(data, histogram, histogram_summed):
#Data processing
dt = linspace(0, 16777.216, 65536)
data.create_file()
max_cts = 100
cr_hist_LT1_first = physical_adwin_lt1.Get_Data_Long(71, 1, max_cts)
cr_hist_LT1_total = physical_adwin_lt1.Get_Data_Long(72, 1, max_cts)
cr_hist_LT2_first = physical_adwin.Get_Data_Long(71, 1, max_cts)
cr_hist_LT2_total = physical_adwin.Get_Data_Long(72, 1, max_cts)
physical_adwin_lt1.Set_Data_Long(zeros(max_cts, dtype=int32), 71, 1,
max_cts)
physical_adwin_lt1.Set_Data_Long(zeros(max_cts, dtype=int32), 72, 1,
max_cts)
physical_adwin.Set_Data_Long(zeros(max_cts, dtype=int32), 71, 1, max_cts)
physical_adwin.Set_Data_Long(zeros(max_cts, dtype=int32), 72, 1, max_cts)
filename = data.get_filepath()[:-4]
pqm.savez(filename,
dt=dt,
counts=histogram,
counts_summed=histogram_summed,
cr_hist_LT1_first=cr_hist_LT1_first,
cr_hist_LT1_total=cr_hist_LT1_total,
cr_hist_LT2_first=cr_hist_LT2_first,
cr_hist_LT2_total=cr_hist_LT2_total)
#Plot Data
do_plot = True
if do_plot:
plt = plot(dt[0:2000], histogram[0:2000])
plt.set_xlabel('dt [ns]')
plt.set_ylabel('number of events in 20 min')
plt.save_png(filename)
plt.clear()
plt = plot(dt[0:2000], histogram_summed[0:2000])
plt.set_xlabel('dt [ns]')
plt.set_ylabel('number of events in total')
plt.save_png(filename + 'total')
plt.clear()
data.close_file()
print 'interference, bitch'
print '(entanglement expected in 3 weeks)'
def save_and_plot_data(data,histogram,histogram_summed):
#Data processing
dt = linspace(0,16777.216,65536)
data.create_file()
max_cts = 100
cr_hist_LT1_first = physical_adwin_lt1.Get_Data_Long(71,1,max_cts)
cr_hist_LT1_total = physical_adwin_lt1.Get_Data_Long(72,1,max_cts)
cr_hist_LT2_first = physical_adwin.Get_Data_Long(71,1,max_cts)
cr_hist_LT2_total = physical_adwin.Get_Data_Long(72,1,max_cts)
physical_adwin_lt1.Set_Data_Long(zeros(max_cts,dtype=int32),71,1,max_cts)
physical_adwin_lt1.Set_Data_Long(zeros(max_cts,dtype=int32),72,1,max_cts)
physical_adwin.Set_Data_Long(zeros(max_cts,dtype=int32),71,1,max_cts)
physical_adwin.Set_Data_Long(zeros(max_cts,dtype=int32),72,1,max_cts)
filename=data.get_filepath()[:-4]
pqm.savez(filename,
dt=dt,
counts=histogram,
counts_summed = histogram_summed,
cr_hist_LT1_first=cr_hist_LT1_first,
cr_hist_LT1_total=cr_hist_LT1_total,
cr_hist_LT2_first=cr_hist_LT2_first,
cr_hist_LT2_total=cr_hist_LT2_total)
#Plot Data
do_plot=True
if do_plot:
plt = plot(dt[0:2000],histogram[0:2000])
plt.set_xlabel('dt [ns]')
plt.set_ylabel('number of events in 20 min')
plt.save_png(filename)
plt.clear()
plt = plot(dt[0:2000],histogram_summed[0:2000])
plt.set_xlabel('dt [ns]')
plt.set_ylabel('number of events in total')
plt.save_png(filename+'total')
plt.clear()
data.close_file()
print 'interference, bitch'
print '(entanglement expected in 3 weeks)'
def save_and_plot_data(data):
# Data processing
data.create_file()
max_cts = 100
cr_hist_LT1_first = physical_adwin_lt1.Get_Data_Long(7, 1, max_cts)
cr_hist_LT1_total = physical_adwin_lt1.Get_Data_Long(8, 1, max_cts)
cr_hist_LT2_first = physical_adwin.Get_Data_Long(7, 1, max_cts)
cr_hist_LT2_total = physical_adwin.Get_Data_Long(8, 1, max_cts)
physical_adwin_lt1.Set_Data_Long(zeros(max_cts, dtype=int32), 7, 1, max_cts)
physical_adwin_lt1.Set_Data_Long(zeros(max_cts, dtype=int32), 8, 1, max_cts)
physical_adwin.Set_Data_Long(zeros(max_cts, dtype=int32), 7, 1, max_cts)
physical_adwin.Set_Data_Long(zeros(max_cts, dtype=int32), 8, 1, max_cts)
filename = data.get_filepath()[:-4]
pqm.savez(
filename,
cr_hist_LT1_first=cr_hist_LT1_first,
cr_hist_LT1_total=cr_hist_LT1_total,
cr_hist_LT2_first=cr_hist_LT2_first,
cr_hist_LT2_total=cr_hist_LT2_total,
)
# Plot Data
do_plot = not (debug_mode)
if do_plot:
plt = plot(dt, hist_roi)
plt.set_xlabel("dt [ns]")
plt.set_ylabel("number of coincidences in current cycle")
plt.save_png(filename + ".png")
plt.clear()
plt = plot(dt, hist_roi_summed)
plt.set_xlabel("dt [ns]")
plt.set_ylabel("number of coincidences in total")
plt.save_png(filename + "total.png")
plt.clear()
data.close_file()
def save_and_plot_data(data):
#Data processing
data.create_file()
max_cts = 100
cr_hist_LT1_first = physical_adwin_lt1.Get_Data_Long(7,1,max_cts)
cr_hist_LT1_total = physical_adwin_lt1.Get_Data_Long(8,1,max_cts)
cr_hist_LT2_first = physical_adwin.Get_Data_Long(7,1,max_cts)
cr_hist_LT2_total = physical_adwin.Get_Data_Long(8,1,max_cts)
physical_adwin_lt1.Set_Data_Long(zeros(max_cts,dtype=int32),7,1,max_cts)
physical_adwin_lt1.Set_Data_Long(zeros(max_cts,dtype=int32),8,1,max_cts)
physical_adwin.Set_Data_Long(zeros(max_cts,dtype=int32),7,1,max_cts)
physical_adwin.Set_Data_Long(zeros(max_cts,dtype=int32),8,1,max_cts)
filename=data.get_filepath()[:-4]
pqm.savez(filename,
cr_hist_LT1_first=cr_hist_LT1_first,
cr_hist_LT1_total=cr_hist_LT1_total,
cr_hist_LT2_first=cr_hist_LT2_first,
cr_hist_LT2_total=cr_hist_LT2_total)
#Plot Data
do_plot=not(debug_mode)
if do_plot:
plt = plot(dt,hist_roi)
plt.set_xlabel('dt [ns]')
plt.set_ylabel('number of coincidences in current cycle')
plt.save_png(filename+'.png')
plt.clear()
plt = plot(dt,hist_roi_summed)
plt.set_xlabel('dt [ns]')
plt.set_ylabel('number of coincidences in total')
plt.save_png(filename+'total.png')
plt.clear()
data.close_file()