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 Cal_ESR(lt1):
#FIXME: Uncomment this line (debug only!)
#esr.measure_esr(lt1=lt1)
dp = self.get_datapath()
path = lde_calibration.find_newest_data(dp,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)
return f_fit
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
<<<<<<< HEAD
f_fit = esr.measure_esr(lt1=lt1)
#dp = get_datapath()
#path = lde_calibration.find_newest_data(dp,string='ESR')
#f_fit=lde_calibration.esr_calibration(path) #FIXME f_dip needs to be an argument
=======
#FIXME: Uncomment this line (debug only!)
#esr.measure_esr(lt1=lt1)
dp = self.get_datapath()
path = lde_calibration.find_newest_data(dp,string='ESR')
f_fit=lde_calibration.esr_calibration(path)
>>>>>>> 54c8270ec6ded7035f530c75005cf8bbd74414e7
#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)
return f_fit
#these are the functions you actually call:
<<<<<<< HEAD
def Cal_N_pi(pulse_amp,N_pulse,pulse_axis="x",RO_dur=48,Ex_p=11.5e-9,lt1=False,ESR=2.82891e9,SSRO=False,ssro_dict={}):
p_dict = {
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
