marcel/pylot
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Relaxed condition for slope determination, plot interims results even if picking failed.

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This commit is contained in:
Ludger Küperkoch 2018-06-25 15:56:15 +02:00
parent d4b76bdecb
commit 3845e7291e
1 changed files with 9 additions and 5 deletions
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8
pylot/core/pick/picker.py
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@ -253,7 +253,7 @@ class AICPicker(AutoPicker):
except IndexError:
print("Slope Calculation: empty array islope, check signal window")
return
if len(dataslope) <= 2:
if len(dataslope) < 2:
print('No or not enough data in slope window found!')
return
try:
@ -300,7 +300,8 @@ class AICPicker(AutoPicker):
datafit = np.polyval(P, xslope)
if datafit[0] >= datafit[-1]:
print('AICPicker: Negative slope, bad onset skipped!')
return
#return
else:
self.slope = 1 / (len(dataslope) * self.Data[0].stats.delta) * (datafit[-1] - datafit[0])
else:
@ -342,8 +343,11 @@ class AICPicker(AutoPicker):
label='Slope Window')
ax2.plot(self.Tcf[iislope], datafit, 'g', linewidth=2, label='Slope')
if self.slope is not None:
ax1.set_title('Station %s, SNR=%7.2f, Slope= %12.2f counts/s' % (self.Data[0].stats.station,
self.SNR, self.slope))
else:
ax1.set_title('Station %s, SNR=%7.2f' % (self.Data[0].stats.station, self.SNR))
ax2.set_xlabel('Time [s] since %s' % self.Data[0].stats.starttime)
ax2.set_ylabel('Counts')
ax2.set_yticks([])