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Stabilized slope calculation for quality control.

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This commit is contained in:
Ludger Küperkoch 2017-06-02 11:41:52 +02:00
parent e2c1b8501e
commit 1e03541d6d
1 changed files with 9 additions and 5 deletions
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14
pylot/core/pick/picker.py
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@ -241,8 +241,12 @@ class AICPicker(AutoPicker):
ax.set_title(self.Data[0].stats.station)
return
islope = islope[0][0:imax]
dataslope = self.Data[0].data[islope]
iislope = islope[0][0:imax]
if len(iislope) <= 3:
# calculate slope from initial onset to maximum of AIC function
imax = np.argmax(aicsmooth[islope])
iislope = islope[0][0:imax]
dataslope = self.Data[0].data[iislope]
# calculate slope as polynomal fit of order 1
xslope = np.arange(0, len(dataslope), 1)
P = np.polyfit(xslope, dataslope, 1)
@ -276,12 +280,12 @@ class AICPicker(AutoPicker):
ax2.plot(self.Tcf, x, 'k', label='Data')
ax1.axvspan(self.Tcf[inoise[0]],self.Tcf[inoise[-1]], color='y', alpha=0.2, lw=0, label='Noise Window')
ax1.axvspan(self.Tcf[isignal[0]],self.Tcf[isignal[-1]], color='b', alpha=0.2, lw=0, label='Signal Window')
ax1.axvspan(self.Tcf[islope[0]],self.Tcf[islope[-1]], color='g', alpha=0.2, lw=0, label='Slope Window')
ax1.axvspan(self.Tcf[iislope[0]],self.Tcf[iislope[-1]], color='g', alpha=0.2, lw=0, label='Slope Window')
ax2.axvspan(self.Tcf[inoise[0]],self.Tcf[inoise[-1]], color='y', alpha=0.2, lw=0, label='Noise Window')
ax2.axvspan(self.Tcf[isignal[0]],self.Tcf[isignal[-1]], color='b', alpha=0.2, lw=0, label='Signal Window')
ax2.axvspan(self.Tcf[islope[0]],self.Tcf[islope[-1]], color='g', alpha=0.2, lw=0, label='Slope Window')
ax2.plot(self.Tcf[islope], datafit, 'g', linewidth=2, label='Slope')
ax2.axvspan(self.Tcf[iislope[0]],self.Tcf[iislope[-1]], color='g', alpha=0.2, lw=0, label='Slope Window')
ax2.plot(self.Tcf[iislope], datafit, 'g', linewidth=2, label='Slope')
ax1.set_title('Station %s, SNR=%7.2f, Slope= %12.2f counts/s' % (self.Data[0].stats.station,
self.SNR, self.slope))