Allow negative saftey gap for slope determination, use only mean of noise window for SNR determination

This commit is contained in:
Ludger Küperkoch 2018-07-03 11:34:32 +02:00
parent 46d4ad7ea5
commit b6c682315d

View File

@ -240,12 +240,17 @@ class AICPicker(AutoPicker):
return
# calculate SNR from CF
self.SNR = max(abs(self.Data[0].data[isignal])) / \
max(abs(self.Data[0].data[inoise] - np.mean(self.Data[0].data[inoise])))
abs(np.mean(self.Data[0].data[inoise]))
# calculate slope from CF after initial pick
# get slope window
tslope = self.TSNR[3] # slope determination window
islope = np.where((self.Tcf <= min([self.Pick + tslope, self.Tcf[-1]])) \
& (self.Tcf >= self.Pick)) # TODO: put this in a seperate function like getsignalwin
tsafety = self.TSNR[1] # safety gap, AIC is usually a little bit too late
if tsafety >= 0:
islope = np.where((self.Tcf <= min([self.Pick + tslope + tsafety, self.Tcf[-1]])) \
& (self.Tcf >= self.Pick)) # TODO: put this in a seperate function like getsignalwin
else:
islope = np.where((self.Tcf <= min([self.Pick + tslope, self.Tcf[-1]])) \
& (self.Tcf >= self.Pick + tsafety)) # TODO: put this in a seperate function like getsignalwin
# find maximum within slope determination window
# 'cause slope should be calculated up to first local minimum only!
try: