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