[removed] amplification of cf by empirical values to account for restituted data

This commit is contained in:
Marcel Paffrath 2018-07-05 15:30:40 +02:00
parent 2c588c1c80
commit 871fb685a4

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@ -226,12 +226,6 @@ class AICPicker(AutoPicker):
if self.Pick is not None:
# get noise window
inoise = getnoisewin(self.Tcf, self.Pick, self.TSNR[0], self.TSNR[1])
# check, if these are counts or m/s, important for slope estimation!
# this is quick and dirty, better solution? #Todo wtf
if max(self.Data[0].data < 1e-3) and max(self.Data[0].data >= 1e-6):
self.Data[0].data = self.Data[0].data * 1000000.
elif max(self.Data[0].data < 1e-6):
self.Data[0].data = self.Data[0].data * 1e13
# get signal window
isignal = getsignalwin(self.Tcf, self.Pick, self.TSNR[2])
if len(isignal) == 0: