Allow negative saftey gap for slope determination, use only mean of noise window for SNR determination
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				| @ -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: | ||||
|  | ||||
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