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