def main():
datafolder= 'D:/measuring/data/'
date = dtime.strftime('%Y') + dtime.strftime('%m') + dtime.strftime('%d')
datapath = datafolder+date + '/'
nr_of_datapoints = 21
min_pulse_amp = 0.0
max_pulse_amp = 0.85
amplitude = np.linspace(min_pulse_amp,max_pulse_amp,nr_of_datapoints)
pulse_dict = {
"Pi":{"duration": 58., "amplitude":0.5},
"Pi_2": {"duration": 29., "amplitude": 0.7},
"init_state_pulse": {"duration":29. , "amplitude":0.7,
"Do_Pulse": False},
"time_between_pulses": 10.,
"nr_of_pulses": 1.,
"duty_cycle_time": 20000.,
}
execfile('ssro_ADwinv2.py')
path = lde_calibration.find_newest_data(datapath,string='ADwin_SSRO_')
ssro_dict=lde_calibration.ssro_calibration(path)
#return ssro_dict
par['RO_duration'] = int(round(ssro_dict["t_max"]))
ins_green_aom.set_power(30e-6)
execfile('esr.py')
path = lde_calibration.find_newest_data(datapath,string='ESR')
f_fit=lde_calibration.esr_calibration(path)
f_drive=f_fit
print f_drive
microwaves.set_frequency(f_drive)
start_measurement(cal.Pi_Pulse_amp,amplitude,pulse_dict,name='Cal_Pi_amp')
#par[''] =
par['sweep_par_name'] = 'Pi Pulse amp'
path = lde_calibration.find_newest_data(datapath,string='Cal_Pi')
fit_amp = lde_calibration.rabi_calibration(path,close_fig=False)
print fit_amp
pulse_dict["nr_of_pulses"] = 5
pulse_dict["duty_cycle_time"] = 500
min_pulse_amp=fit_amp-0.1
max_pulse_amp=fit_amp+0.1
amplitude = np.linspace(min_pulse_amp,max_pulse_amp,nr_of_datapoints)
print amplitude
start_measurement(cal.Pi_Pulse_amp,amplitude,pulse_dict,name='Cal_5_Pi_amp')
path = lde_calibration.find_newest_data(datapath,string='Cal_5_Pi')
fit_amp = lde_calibration.rabi_calibration(path,new_fig=False,close_fig=True)
print fit_amp
def main():
datafolder= 'D:/msblok/Analysis/'
date = time.strftime('%Y') + time.strftime('%m') + time.strftime('%d')
datapath = datafolder+date + '/'
nr_of_datapoints = 21
min_pulse_amp = 0.0
max_pulse_amp = 0.85
amplitude = np.linspace(min_pulse_amp,max_pulse_amp,nr_of_datapoints)
pulse_dict = {
"Pi":{"duration": 58.},
"Pi_2": {"duration": 29., "amplitude": 0.7},
"init_state_pulse": {"duration":29. , "amplitude":0.7,
"Do_Pulse": False},
"time_between_pulses": 10.,
"nr_of_pulses": 1.,
"duty_cycle_time": 100.,
}
path = lde_calibration.find_newest_data(datapath,string='ADwin_SSRO_')
ssro_dict=lde_calibration.ssro_calibration(path)
#return ssro_dict
#par['RO_duration'] = int(round(ssro_dict["t_max"]))
#execfile('esr.py')
#path = lde_calibration.find_newest_data(datapath,string='ESR')
#f_fit=lde_calibration.esr_calibration(path)
#f_drive=f_fit
#print f_drive
#start_measurement(cal.Pi_Pulse_amp,amplitude,pulse_dict,name='Cal_Pi_amp')
#par['sweep_par_name'] = 'Pi Pulse amp'
path = lde_calibration.find_newest_data(datapath,string='Cal_Pi')
fit_amp = lde_calibration.rabi_calibration(path,close_fig=False)
#print fit_amp
#pulse_dict["nr_of_pulses"] = 5
#pulse_dict["duty_cycle_time"] = 500
#min_pulse_amp=fit_amp-0.1
#max_pulse_amp=fit_amp+0.1
#amplitude = np.linspace(min_pulse_amp,max_pulse_amp,nr_of_datapoints)
#print amplitude
#start_measurement(cal.Pi_Pulse_amp,amplitude,pulse_dict,name='Cal_5_Pi_amp')
path = lde_calibration.find_newest_data(datapath,string='Cal_5_Pi')
fit_amp = lde_calibration.rabi_calibration(path,new_fig=False,close_fig=True)
#print fit_amp
# evt Rabi oscilatie
path = lde_calibration.find_newest_data(datapath,string='rabi')
rabi_calibration(path,ssro_dict=ssro_dict)
def calibrate(self, set_vals=True):
# here comes the actual calibration measurements.
# get the optimal values using the qtlab analyze module
# this module uses gnuplot and should not crash therefore.
cur_df = os.path.join('D:/measuring/data', time.strftime("%Y%m%d"))
last_rabi = lde_calibration.find_newest_data(cur_df,
string='spin_control')
last_ssro = lde_calibration.find_newest_data(cur_df,
string='ADwin_SSRO')
pi_duration = lde_calibration.rabi_calibration(datapath=last_rabi)
opt_rotime = lde_calibration.ssro_calibration(datapath=last_ssro)
if set_vals:
self.pi_lt2_duration = int(pi_duration)
self.pi2_lt2_duration = int(pi_duration / 2.0)
print 'Set pi-pulse duration for LT2 to %s ns' % (
self.pi_lt2_duration)
adpar['SSRO_duration'] = opt_ro_time
print 'Set SSRO time for LT2 to %s us' % (opt_ro_time)
return adpar['SSRO_duration']
else:
return None
def Cal_CORPSE_pulse(m,nr_of_pulses,p_dict,lt1,ssro_dict={}):
p_dict['nr_of_pulses'] = nr_of_pulses
m.par['sweep_par_name'] = 'Amplitude of %d Pi CORPSE pulses' % nr_of_pulses
m.start_measurement(cal.DSC_pulse_amp,p_dict,lt1=lt1,ssro_dict=ssro_dict,name=name)
dp=get_datapath()
path = lde_calibration.find_newest_data(dp,string=m.name())
fit_dict = lde_calibration.rabi_calibration(path,new_fig=True,close_fig=True)
return fit_dict
def Cal_regular_pi_pulse(m,nr_of_pulses,p_dict,lt1,ssro_dict={}):
m.par['sweep_par_name'] = 'Amplitude of %d Pi pulses' % nr_of_pulses
p_dict['nr_of_pulses'] = nr_of_pulses
m.start_measurement(cal.Pi_Pulse_amp,p_dict,lt1=lt1,ssro_dict=ssro_dict)
dp=get_datapath()
path = lde_calibration.find_newest_data(dp,string=m.name())
fit_dict = lde_calibration.rabi_calibration(path,close_fig=True)
return fit_dict
def calibrate(self, set_vals=True):
# here comes the actual calibration measurements.
# get the optimal values using the qtlab analyze module
# this module uses gnuplot and should not crash therefore.
cur_df = os.path.join("D:/measuring/data", time.strftime("%Y%m%d"))
last_rabi = lde_calibration.find_newest_data(cur_df, string="spin_control")
last_ssro = lde_calibration.find_newest_data(cur_df, string="ADwin_SSRO")
pi_duration = lde_calibration.rabi_calibration(datapath=last_rabi)
opt_rotime = lde_calibration.ssro_calibration(datapath=last_ssro)
if set_vals:
self.pi_lt2_duration = int(pi_duration)
self.pi2_lt2_duration = int(pi_duration / 2.0)
print "Set pi-pulse duration for LT2 to %s ns" % (self.pi_lt2_duration)
adpar["SSRO_duration"] = opt_ro_time
print "Set SSRO time for LT2 to %s us" % (opt_ro_time)
return adpar["SSRO_duration"]
else:
return None
def main():
datafolder = 'D:/measuring/data/'
date = dtime.strftime('%Y') + dtime.strftime('%m') + dtime.strftime('%d')
datapath = datafolder + date + '/'
nr_of_datapoints = 21
min_pulse_amp = 0.0
max_pulse_amp = 0.85
amplitude = np.linspace(min_pulse_amp, max_pulse_amp, nr_of_datapoints)
pulse_dict = {
"Pi": {
"duration": 58.,
"amplitude": 0.5
},
"Pi_2": {
"duration": 29.,
"amplitude": 0.7
},
"init_state_pulse": {
"duration": 29.,
"amplitude": 0.7,
"Do_Pulse": False
},
"time_between_pulses": 10.,
"nr_of_pulses": 1.,
"duty_cycle_time": 20000.,
}
execfile('ssro_ADwinv2.py')
path = lde_calibration.find_newest_data(datapath, string='ADwin_SSRO_')
ssro_dict = lde_calibration.ssro_calibration(path)
#return ssro_dict
par['RO_duration'] = int(round(ssro_dict["t_max"]))
ins_green_aom.set_power(30e-6)
execfile('esr.py')
path = lde_calibration.find_newest_data(datapath, string='ESR')
f_fit = lde_calibration.esr_calibration(path)
f_drive = f_fit
print f_drive
microwaves.set_frequency(f_drive)
start_measurement(cal.Pi_Pulse_amp,
amplitude,
pulse_dict,
name='Cal_Pi_amp')
#par[''] =
par['sweep_par_name'] = 'Pi Pulse amp'
path = lde_calibration.find_newest_data(datapath, string='Cal_Pi')
fit_amp = lde_calibration.rabi_calibration(path, close_fig=False)
print fit_amp
pulse_dict["nr_of_pulses"] = 5
pulse_dict["duty_cycle_time"] = 500
min_pulse_amp = fit_amp - 0.1
max_pulse_amp = fit_amp + 0.1
amplitude = np.linspace(min_pulse_amp, max_pulse_amp, nr_of_datapoints)
print amplitude
start_measurement(cal.Pi_Pulse_amp,
amplitude,
pulse_dict,
name='Cal_5_Pi_amp')
path = lde_calibration.find_newest_data(datapath, string='Cal_5_Pi')
fit_amp = lde_calibration.rabi_calibration(path,
new_fig=False,
close_fig=True)
print fit_amp
def Calibrate_pi(self,m,name,lt1,ssro_dict={}):
datafolder= 'D:/measuring/data/'
date = dtime.strftime('%Y') + dtime.strftime('%m') + dtime.strftime('%d')
datapath = datafolder+date + '/'
min_pulse_amp = 0.0
max_pulse_amp = 0.85
#if lt1:
# max_pulse_amp = 0.65
amplitude = np.linspace(min_pulse_amp,max_pulse_amp,self.nr_of_datapoints)
pulse_dict = {
"Pi":{"duration": 50., "amplitude":0.58},
"init_state_pulse": {"duration":29. , "amplitude":0.7,
"Do_Pulse": False},
"time_between_pulses": 10.,
"nr_of_pulses": 1.,
"duty_cycle_time": 100.,
}
if lt1:
pulse_dict["Pi"]["duration"] = 56.
### Calibrate Single pi pulse
single_pi = PulseCalibration(name='Single_Pi_amp')
self.start_measurement(single_pi,cal.Pi_Pulse_amp,amplitude,pulse_dict,lt1=lt1,ssro_dict=ssro_dict,name='Single_Pi_amp')
self.par['sweep_par_name'] = 'Pi Pulse amp'
path = lde_calibration.find_newest_data(datapath,string='Single_Pi_amp')
rabi_dict = lde_calibration.rabi_calibration(path,close_fig=True)
fit_amp = rabi_dict["minimum"]
ms0_readout = rabi_dict["Amplitude"] + rabi_dict["offset"]
ms1_readout=50.
##### For Calibration of 5 Pi pulses
pulse_dict["nr_of_pulses"] = 5
pulse_dict["duty_cycle_time"] = 500
min_pulse_amp=fit_amp-0.1
max_pulse_amp=fit_amp+0.1
if lt1:
min_pulse_amp=fit_amp-0.3
max_pulse_amp=fit_amp+0.1
amplitude = np.linspace(min_pulse_amp,max_pulse_amp,self.nr_of_datapoints)
Five_pi = PulseCalibration(name='5_Pi_amp')
self.start_measurement(Five_pi,cal.Pi_Pulse_amp,amplitude,pulse_dict,lt1=lt1,name='5_Pi_amp')
path = lde_calibration.find_newest_data(datapath,string='5_Pi_amp')
fit_amp = lde_calibration.rabi_calibration(path,new_fig=True,close_fig=True)
fit_amp=fit_amp["minimum"]
Cal_dict={}
Cal_dict["Pi"] = fit_amp
##### For Calibration of 8 Pi pulses
#pulse_dict["nr_of_pulses"] = 8
#pulse_dict["duty_cycle_time"] = 500
#min_pulse_amp=fit_amp-0.1
#max_pulse_amp=fit_amp+0.1
#amplitude = np.linspace(min_pulse_amp,max_pulse_amp,self.nr_of_datapoints)
#Five_pi = PulseCalibration(name='8_Pi_amp')
#self.start_measurement(Five_pi,cal.Pi_Pulse_amp,amplitude,pulse_dict,lt1=lt1,name='8_Pi_amp')
#path = lde_calibration.find_newest_data(datapath,string='8_Pi_amp')
#fit_amp = lde_calibration.rabi_calibration(path,new_fig=True,close_fig=True)
#fit_amp=fit_amp["minimum"]
### Cal CORPSE Pi/2
pulse_dict['nr_of_pulses']=1.
pulse_dict["Pi"]["duration"] = 25.
if lt1:
pulse_dict["Pi"]["duration"] = 28.
min_pulse_amp=fit_amp-0.1
max_pulse_amp=fit_amp+0.1
if lt1:
min_pulse_amp = fit_amp - 0.12
max_pulse_amp = fit_amp + 0.1
amplitude = np.linspace(min_pulse_amp,max_pulse_amp,self.nr_of_datapoints)
pi_over_two = PulseCalibration(name='_pi_over_two')
dp = self.get_datapath()
self.start_measurement(pi_over_two,cal.Pi_Pulse_amp,
amplitude,pulse_dict,lt1=lt1,ssro_dict=ssro_dict,name='pi_over_two')
path = lde_calibration.find_newest_data(datapath,string='pi_over_two')
b= 2*np.pi*rabi_dict["Amplitude"]*rabi_dict["freq"]
a = rabi_dict["offset"]+rabi_dict["Amplitude"]
pi_over_two_dict = lde_calibration.pi_over_two_calibration(path,[ms0_readout,ms1_readout],[a,b],new_fig=True,close_fig=True)
Cal_dict["Pi2"] = pi_over_two_dict
return Cal_dict
<<<<<<< HEAD
def Cal_regular_pi_pulse(m,nr_of_pulses,p_dict,lt1,ssro_dict):
=======
def Cal_regular_pi_pulse(m,nr_of_pulses,p_dict,lt1,ssro_dict={}):
>>>>>>> 54c8270ec6ded7035f530c75005cf8bbd74414e7
m.par['sweep_par_name'] = 'Amplitude of %d Pi pulses' % nr_of_pulses
p_dict['nr_of_pulses'] = nr_of_pulses
m.start_measurement(cal.Pi_Pulse_amp,p_dict,lt1=lt1,ssro_dict=ssro_dict)
dp=get_datapath()
<<<<<<< HEAD
name=m.name
path = lde_calibration.find_newest_data(dp,string=name)
fit_dict = lde_calibration.rabi_calibration(path,close_fig=True)
return fit_dict
def Cal_regular_pitwo_pulse(m,p_dict,readout,fit_guess,lt1,ssro_dict):
p_dict['nr_of_pulses']=1.
=======
path = lde_calibration.find_newest_data(dp,string=m.name())
fit_dict = lde_calibration.rabi_calibration(path,close_fig=True)
return fit_dict
def Cal_regular_pi2_pulse(m,p_dict,[ms0,ms1],[a,b],lt1,ssro_dict={}):
pulse_dict['nr_of_pulses']=1.
def Calibrate(self, m, name, lt1):
datafolder = "D:/measuring/data/"
date = dtime.strftime("%Y") + dtime.strftime("%m") + dtime.strftime("%d")
datapath = datafolder + date + "/"
min_pulse_amp = 0.0
max_pulse_amp = 0.85
# if lt1:
# max_pulse_amp = 0.65
amplitude = np.linspace(min_pulse_amp, max_pulse_amp, self.nr_of_datapoints)
pulse_dict = {
"Pi": {"duration": 58.0, "amplitude": 0.4845},
"Pi_2": {"duration": 29.0, "amplitude": 0.7},
"init_state_pulse": {"duration": 29.0, "amplitude": 0.7, "Do_Pulse": False},
"time_between_pulses": 10.0,
"nr_of_pulses": 1.0,
"duty_cycle_time": 100.0,
"time_between_CORPSE": 20.0,
}
### Calibrate SSRO
# name='SIL9_LT2'
# m = ssro_ADwin(name)
# par=m.setup()
# m.measure(m,name,par)
# ssro_ADwin.ssro_ADwin_Cal(lt1=lt1)
path = lde_calibration.find_newest_data(datapath, string="ADwin_SSRO")
ssro_dict = lde_calibration.ssro_calibration(path)
# self.par['RO_duration'] = int(round(ssro_dict["t_max"]))
### Calibrate ESR freq
# esr.measure_esr(lt1=lt1)
path = lde_calibration.find_newest_data(datapath, string="ESR")
f_fit = lde_calibration.esr_calibration(path)
if lt1:
f_fit = 2.82878e9 # WE measured this more accurate
else:
f_fit = 2.82877e9 - 0.418e6
self.f_drive = f_fit
self.microwaves.set_frequency(self.f_drive)
# plt=qt.Plot2D(name='MWCal',clear=True)
### Calibrate Single pi pulse
single_pi = PulseCalibration(name="Single_Pi_amp")
# self.start_measurement(single_pi,cal.Pi_Pulse_amp,amplitude,pulse_dict,lt1=lt1,ssro_dict=ssro_dict,name='Single_Pi_amp')
self.par["sweep_par_name"] = "Pi Pulse amp"
path = lde_calibration.find_newest_data(datapath, string="Single_Pi_amp")
rabi_dict = lde_calibration.rabi_calibration(path, close_fig=True)
fit_amp = rabi_dict["minimum"]
ms0_readout = rabi_dict["Amplitude"] + rabi_dict["offset"]
### Cal 1 CORPSE Pulse
min_pulse_amp = fit_amp - 0.15
max_pulse_amp = fit_amp + 0.15
# if lt1:
# min_pulse_amp = fit_amp-0.25
# max_pulse_amp = fit_amp+0.05
amplitude = np.linspace(min_pulse_amp, max_pulse_amp, self.nr_of_datapoints)
pulse_dict["istate_pulse"] = {"duration": 0, "amplitude": 0, "Do_Pulse": False}
pulse_dict["time_between_CORPSE"] = 10.0
pulse_dict["nr_of_pulses"] = 1.0
CORPSE = PulseCalibration(name="CORPSE_amp")
# self.start_measurement(CORPSE,cal.DSC_pulse_amp,amplitude,pulse_dict,lt1=lt1,ssro_dict=ssro_dict,name='CORPSE_amp')
path = lde_calibration.find_newest_data(datapath, string="CORPSE_amp")
CORPSE_dict = lde_calibration.rabi_calibration(path, new_fig=True, close_fig=True)
ms1_readout = CORPSE_dict["lowest_meas_value"]
### Cal 5 Corpse pulses
fit_amp = CORPSE_dict["minimum"]
min_pulse_amp = fit_amp - 0.1
max_pulse_amp = fit_amp + 0.1
amplitude = np.linspace(min_pulse_amp, max_pulse_amp, self.nr_of_datapoints)
Five_CORPSE = PulseCalibration(name="Five_CORPSE_amp")
pulse_dict["nr_of_pulses"] = 5.0
# self.start_measurement(Five_CORPSE,cal.DSC_pulse_amp,amplitude,pulse_dict,lt1=lt1,ssro_dict=ssro_dict,name='Five_CORPSE_amp')
path = lde_calibration.find_newest_data(datapath, string="Five_CORPSE_amp")
Five_CORPSE_dict = lde_calibration.rabi_calibration(path, new_fig=True, close_fig=True)
fit_amp = Five_CORPSE_dict["minimum"]
### Cal CORPSE Pi/2
pulse_dict["nr_of_pulses"] = 1.0
min_pulse_amp = fit_amp - 0.1
max_pulse_amp = fit_amp + 0.1
if lt1:
min_pulse_amp = fit_amp - 0.12
max_pulse_amp = fit_amp + 0.1
amplitude = np.linspace(min_pulse_amp, max_pulse_amp, self.nr_of_datapoints)
CORPSE_pi_over_two = PulseCalibration(name="CORPSE_pi_over_two")
# self.start_measurement(CORPSE_pi_over_two,cal.DSC_pi_over_two_pulse_amp,
# amplitude,pulse_dict,lt1=lt1,ssro_dict=ssro_dict,name='CORPSE_pi_over_two')
path = lde_calibration.find_newest_data(datapath, string="CORPSE_pi_over_two")
b = 2 * np.pi * rabi_dict["Amplitude"] * rabi_dict["freq"]
a = rabi_dict["offset"] + rabi_dict["Amplitude"]
pi_over_two_dict = lde_calibration.pi_over_two_calibration(
path, [ms0_readout, ms1_readout], [a, b], new_fig=True, close_fig=True
) ### Cal CORPSE Pi/2
print "ms0_readout:"
print ms0_readout
print "ms1_readout:"
print ms1_readout
Cal_dict = {
"SSRO": ssro_dict,
"ESR": {"freq": f_fit},
"MW": rabi_dict,
"MW_CORPSE": CORPSE_dict,
"MW_Five_CORPSE": Five_CORPSE_dict,
"MW_CORPSE_pi_over_two": pi_over_two_dict,
}
return Cal_dict