Relaxed condition for slope determination, plot interims results even if picking failed.
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@ -253,7 +253,7 @@ class AICPicker(AutoPicker):
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except IndexError:
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print("Slope Calculation: empty array islope, check signal window")
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return
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if len(dataslope) <= 2:
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if len(dataslope) < 2:
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print('No or not enough data in slope window found!')
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return
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try:
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@ -300,8 +300,9 @@ class AICPicker(AutoPicker):
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datafit = np.polyval(P, xslope)
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if datafit[0] >= datafit[-1]:
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print('AICPicker: Negative slope, bad onset skipped!')
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return
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self.slope = 1 / (len(dataslope) * self.Data[0].stats.delta) * (datafit[-1] - datafit[0])
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#return
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else:
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self.slope = 1 / (len(dataslope) * self.Data[0].stats.delta) * (datafit[-1] - datafit[0])
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else:
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self.SNR = None
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@ -342,8 +343,11 @@ class AICPicker(AutoPicker):
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label='Slope Window')
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ax2.plot(self.Tcf[iislope], datafit, 'g', linewidth=2, label='Slope')
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ax1.set_title('Station %s, SNR=%7.2f, Slope= %12.2f counts/s' % (self.Data[0].stats.station,
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self.SNR, self.slope))
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if self.slope is not None:
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ax1.set_title('Station %s, SNR=%7.2f, Slope= %12.2f counts/s' % (self.Data[0].stats.station,
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self.SNR, self.slope))
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else:
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ax1.set_title('Station %s, SNR=%7.2f' % (self.Data[0].stats.station, self.SNR))
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ax2.set_xlabel('Time [s] since %s' % self.Data[0].stats.starttime)
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ax2.set_ylabel('Counts')
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ax2.set_yticks([])
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