def pltsettings(self,save=None,fileformat='.pdf',disp = True,close=False, xlabel='',ylabel='', xlim=None,
ylim=None,title=None,yscale=None,legendColumns=1,skip_legend=False):
'''This function is a wrapper for the plot settings function imported from the Helper function.
The wrapper is necessary to format the date axis.
inputs
------
See plotxy.
Note that the x-limits are required to be of the form
[datetime.date(2014, 1, 26), datetime.date(2014, 2, 1)]
'''
# beautify the x-labels
plt.gcf().autofmt_xdate()
pltsettings(save=save,fileformat=fileformat,disp = disp,close=close, xlabel=xlabel,ylabel=ylabel,
xlim=xlim,ylim=ylim,title=title,yscale=yscale,legendColumns=legendColumns,skip_legend=skip_legend)
IVbyFactor = dict()
for i in factor:
IVbyFactor[i] = np.vstack(
[IV.binedIVData[0],
np.multiply(i, IV.binedIVData[1])])
title = newfig('Sum_Factor_1_1')
plot(IVbyFactor[1.], label='Factor 1.')
plot(IVbyFactor[1.], label='Factor 1.')
plt.plot(IVbyFactor[1.][0], IVbyFactor[1.][1] + IVbyFactor[1.][1], label='Sum')
pltsettings(save=directory + title,
fileformat='.pdf',
disp=True,
close=True,
xlabel=lbl['mV'],
ylabel=lbl['uA'],
xlim=[0, 2.7],
ylim=[0, 30],
title=None,
legendColumns=1,
skip_legend=False)
title = newfig('Sum_Factor_1._1.2')
plot(IVbyFactor[1.], label='Factor 1.')
plot(IVbyFactor[1.2], label='Factor 1.2')
plt.plot(IVbyFactor[1.][0],
IVbyFactor[1.][1] + IVbyFactor[1.2][1],
label='Sum')
pltsettings(save=directory + title,
fileformat='.pdf',
disp=True,
'D1_17_m.csv': 85,
'D1_17_n.csv': 85
}
for i in filenames:
kwargs_IV_Response_rawData['normalResistance300K'] = r300K[i]
IV = IV_Response(i, **kwargs_IV_Response_rawData)
title = newfig(i.replace('.csv', '_Manual_Offset_Correction'))
IV.plot_IV_with_Info([-3.85, 10, -3.85, 10], linespacing=1.7, fontsize=10)
plt.tight_layout()
pltsettings(save=directory + title,
fileformat='.pdf',
disp=True,
close=True,
xlabel=lbl['mV'],
ylabel=lbl['uA'],
xlim=[-4, 4],
ylim=ylims[i],
title=None,
legendColumns=1,
skip_legend=True)
#Old implementation before IV_Class was updated on 14.02.2020.
#
#offsetCorrection={'Backup_Old_m.csv':[(-2.56+2.65)/2,(-1.01+16.5)/2],
# 'Backup_Old_n.csv':[(-2.70+2.85)/2,(-33+49)/2],
# 'D1_15_m.csv':[(-2.91+3.08)/2,(-148+164.5)/2],
# 'D1_15_n.csv':[(.07)/2,(-73.84+85.54)/2],
# 'D1_17_m.csv':[(-0.12+0.009)/2,-(-44.47+29.64)/2],
# 'D1_17_n.csv':[(-2.5+2.67)/2,(-9+22.35)/2]}
#
parser = ArgumentParser()
parser.add_argument('-f', '--folder', action='store',default = 'Default_Folder', help='The folder in which the result is stored in.')
args = parser.parse_args()
directory = 'Cooper_Pair_Tunnelling_Current_Unit_Test/'+args.folder+'/'
if not os.path.exists(directory):
os.makedirs(directory)
title = newfig('Flux_Dependency')
fluxes = np.arange(0,15,.001) * magneticFluxQuantum
te = 4 #K, The actual temperature
tC = 9.2 # K for Nb
delta = cooperPair_Binding_Energy_over_T(t_over_Tc =te/tC,delta0 = cooperPair_Binding_Energy_0K(tC), tDebye = 276)[0]
rN =10
current = cooperPairTunnellingCurrent(fluxes,delta,te,rN)
plt.plot(fluxes,current)
pltsettings(save=directory+title,fileformat='.pdf',disp = True,close=True, xlabel=lbl['Wb'],ylabel=lbl['A'],
xlim=None,ylim=None,title=None,legendColumns=1,skip_legend=True)
title = newfig('Normal_Resistance_Dependency')
fluxes = 0
te = 4 #K, The actual temperature
delta = cooperPair_Binding_Energy_over_T(t_over_Tc =te/tC,delta0 = cooperPair_Binding_Energy_0K(tC), tDebye = 276)[0] #9.2 K for Nb
rN =np.arange(5,40,.01)
current = cooperPairTunnellingCurrent(fluxes,delta,te,rN)
plt.plot(rN,current)
pltsettings(save=directory+title,fileformat='.pdf',disp = True,close=False, xlabel=lbl['Rn'],ylabel=lbl['A'],
xlim=None,ylim=None,title=None,legendColumns=1,skip_legend=True)