def plotdict(datadict, fitdict):
for curr in sorted(datadict.keys()):
for freq in sorted(datadict[curr].keys()):
print(("DC current = %f A" % curr, "Frequency = %f GHz" % freq))
plt.plot(
datadict[curr][freq].field,
ap.dlor_model(fitdict[curr][freq][0], datadict[curr][6].field),
datadict[curr][freq].field,
datadict[curr][6].l1x,
)
plt.ylabel(" dVmix/dB ($\mu$V)")
plt.xlabel("Field (T)")
plt.title("Negative field sweep and fit")
plt.show()
plt.hist(
ap.dlor_model(fitdict[curr][freq][0], datadict[curr][6].field) - datadict[curr][6].l1x,
bins=50,
histtype="stepfilled",
)
plt.title("Fit Residuals")
plt.show()
def plotdict_overlay(datadict, fitdict, prescale=5000):
for curr in sorted(datadict.keys()):
for freq in sorted(datadict[curr].keys()):
plt.plot(
datadict[curr][freq].field,
ap.dlor_model(fitdict[curr][freq][0], datadict[curr][6].field) + curr * prescale,
datadict[curr][freq].field,
datadict[curr][6].l1x + curr * prescale,
)
plt.ylabel(" dVmix/dB ($\mu$V)")
plt.xlabel("Field (T)")
plt.title("Negative field sweep and fit")
plt.show()
