def analysis():
dp=os.path.join(meas_folder, date)
amp=[]
phase=[]
j=0
color=['Crimson','RoyalBlue']
ramsey_data={}
for i in datafolders:
tau_guess = 3000
offset_guess=0.5
freq=1e-3
amp=0.5
result=sc.analyse_plot_results_vs_sweepparam(i,yname='P(mI=0)',Nuclcor=False,dataname='Spin_RO',d=date)
resultcor=sc.analyse_plot_results_vs_sweepparam(i,yname='P(mI=0)',Nuclcor=True,dataname='Spin_RO',d=date)
fit_result = fit.fit1d(result['x'], result['y'], ramsey.fit_ramsey_gaussian_decay,
tau_guess, offset_guess, (freq,amp,90),
do_print = True , ret = True)
fit_x=np.linspace(result['x'].min(),result['x'].max(),201)
ramsey_data['fit_x']=fit_x
if label[j]=='mI=-1':
ramsey_data['datamin1']=result['y']
ramsey_data['xmin1']=result['x']
ramsey_data['udatamin1']=result['uy']
ramsey_data['fitmin1']=fit_result['fitfunc'](fit_x)
ramsey_data['datamin1_cor']=resultcor['y']
else:
ramsey_data['datazero']=result['y']
ramsey_data['xzero']=result['x']
ramsey_data['udatazero']=result['uy']
ramsey_data['fitzero']=fit_result['fitfunc'](fit_x)
ramsey_data['datazero1_cor']=resultcor['y']
np.savez(os.path.join(basepath,name),**ramsey_data)
j+=1
def analysis():
dp = os.path.join(meas_folder, date)
amp = []
phase = []
j = 0
color = ['Crimson', 'RoyalBlue']
ramsey_data = {}
for i in datafolders:
tau_guess = 3000
offset_guess = 0.5
freq = 1e-3
amp = 0.5
result = sc.analyse_plot_results_vs_sweepparam(i,
yname='P(mI=0)',
Nuclcor=False,
dataname='Spin_RO',
d=date)
resultcor = sc.analyse_plot_results_vs_sweepparam(i,
yname='P(mI=0)',
Nuclcor=True,
dataname='Spin_RO',
d=date)
fit_result = fit.fit1d(result['x'],
result['y'],
ramsey.fit_ramsey_gaussian_decay,
tau_guess,
offset_guess, (freq, amp, 90),
do_print=True,
ret=True)
fit_x = np.linspace(result['x'].min(), result['x'].max(), 201)
ramsey_data['fit_x'] = fit_x
if label[j] == 'mI=-1':
ramsey_data['datamin1'] = result['y']
ramsey_data['xmin1'] = result['x']
ramsey_data['udatamin1'] = result['uy']
ramsey_data['fitmin1'] = fit_result['fitfunc'](fit_x)
ramsey_data['datamin1_cor'] = resultcor['y']
else:
ramsey_data['datazero'] = result['y']
ramsey_data['xzero'] = result['x']
ramsey_data['udatazero'] = result['uy']
ramsey_data['fitzero'] = fit_result['fitfunc'](fit_x)
ramsey_data['datazero1_cor'] = resultcor['y']
np.savez(os.path.join(basepath, name), **ramsey_data)
j += 1
# yfolder='185211'
# xfolder='191458'
# mI0:
# zfolder='210551'
# yfolder='201904'
# xfolder='204243'
# x:
# zfolder='224310'
# yfolder='213105'
# xfolder='221323'
# dp=os.path.join(meas_folder, date)
result_zmeas = sc.analyse_plot_results_vs_sweepparam(
zfolder, yname="P(mI=0)", Nuclcor=True, dataname="Spin_RO", title="strong_meas_res_Z", d=date, save=False
)
result_zcond = sc.analyse_weakcond_vs_sweepparam(
zfolder, yname="P(mI=0)", Nuclcor=True, dataname="cond_Spin_RO", title="", d=date, save=False
)
result_ymeas = sc.analyse_plot_results_vs_sweepparam(
yfolder, yname="P(mI=0)", Nuclcor=True, dataname="Spin_RO", title="strong_meas_res_y", d=date, save=False
)
result_ycond = sc.analyse_weakcond_vs_sweepparam(
yfolder, yname="P(mI=0)", Nuclcor=True, dataname="cond_Spin_RO", title="", d=date, save=False
)
result_xmeas = sc.analyse_plot_results_vs_sweepparam(
xfolder, yname="P(mI=0)", Nuclcor=True, dataname="Spin_RO", title="strong_meas_res_x", d=date, save=False
)
#zfolder='193905' #yfolder='185211' #xfolder='191458' # mI0: #zfolder='210551' #yfolder='201904' #xfolder='204243' # x: #zfolder='224310' #yfolder='213105' #xfolder='221323' #dp=os.path.join(meas_folder, date) result_zmeas=sc.analyse_plot_results_vs_sweepparam(zfolder,yname='P(mI=0)',Nuclcor=True,dataname='Spin_RO',title='strong_meas_res_Z',d=date,save=False) result_zcond=sc.analyse_weakcond_vs_sweepparam(zfolder,yname='P(mI=0)',Nuclcor=True,dataname='cond_Spin_RO',title='',d=date,save=False) result_ymeas=sc.analyse_plot_results_vs_sweepparam(yfolder,yname='P(mI=0)',Nuclcor=True,dataname='Spin_RO',title='strong_meas_res_y',d=date,save=False) result_ycond=sc.analyse_weakcond_vs_sweepparam(yfolder,yname='P(mI=0)',Nuclcor=True,dataname='cond_Spin_RO',title='',d=date,save=False) result_xmeas=sc.analyse_plot_results_vs_sweepparam(xfolder,yname='P(mI=0)',Nuclcor=True,dataname='Spin_RO',title='strong_meas_res_x',d=date,save=False) result_xcond=sc.analyse_weakcond_vs_sweepparam(xfolder,yname='P(mI=0)',Nuclcor=True,dataname='cond_Spin_RO',title='',d=date,save=False) zmeas_x=calc_meas_strength(result_zmeas['x'],12,3400) xmeas_x=calc_meas_strength(result_xmeas['x'],12,3400) zmeas_x=calc_meas_strength(result_zmeas['x'],12,2000) xmeas_x=calc_meas_strength(result_xmeas['x'],12,2000) def plot_backaction():