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Debugging.

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Ludger Küperkoch 2015-06-23 16:23:18 +02:00
parent 54fd3004b4
commit 5410b4481a
1 changed files with 27 additions and 9 deletions
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24
pylot/core/pick/utils.py
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@ -183,10 +183,17 @@ def fmpicker(Xraw, Xfilt, pickwin, Pick, iplot=None):
else: else:
li1 = index1[0] li1 = index1[0]
if np.size(xraw[ipick[0][1]:ipick[0][li1]]) == 0: if np.size(xraw[ipick[0][1]:ipick[0][li1]]) == 0:
print 'earllatepicker: Onset on unfiltered trace too emergent for first motion determination!' print 'fmpicker: Onset on unfiltered trace too emergent for first motion determination!'
P1 = None P1 = None
else: else:
imax1 = np.argmax(abs(xraw[ipick[0][1]:ipick[0][li1]])) imax1 = np.argmax(abs(xraw[ipick[0][1]:ipick[0][li1]]))
if imax1 == 0:
imax1 = np.argmax(abs(xraw[ipick[0][1]:ipick[0][index1[1]]]))
if imax1 == 0:
print 'fmpicker: Zero crossings too close!'
print 'Skip first motion determination!'
return FM
islope1 = np.where((t >= Pick) & (t <= Pick + t[imax1])) islope1 = np.where((t >= Pick) & (t <= Pick + t[imax1]))
# calculate slope as polynomal fit of order 1 # calculate slope as polynomal fit of order 1
xslope1 = np.arange(0, len(xraw[islope1]), 1) xslope1 = np.arange(0, len(xraw[islope1]), 1)
@ -218,10 +225,17 @@ def fmpicker(Xraw, Xfilt, pickwin, Pick, iplot=None):
else: else:
li2 = index2[0] li2 = index2[0]
if np.size(xfilt[ipick[0][1]:ipick[0][li2]]) == 0: if np.size(xfilt[ipick[0][1]:ipick[0][li2]]) == 0:
print 'earllatepicker: Onset on filtered trace too emergent for first motion determination!' print 'fmpicker: Onset on filtered trace too emergent for first motion determination!'
P2 = None P2 = None
else: else:
imax2 = np.argmax(abs(xfilt[ipick[0][1]:ipick[0][li2]])) imax2 = np.argmax(abs(xfilt[ipick[0][1]:ipick[0][li2]]))
if imax2 == 0:
imax2 = np.argmax(abs(xfilt[ipick[0][1]:ipick[0][index2[1]]]))
if imax1 == 0:
print 'fmpicker: Zero crossings too close!'
print 'Skip first motion determination!'
return FM
islope2 = np.where((t >= Pick) & (t <= Pick + t[imax2])) islope2 = np.where((t >= Pick) & (t <= Pick + t[imax2]))
# calculate slope as polynomal fit of order 1 # calculate slope as polynomal fit of order 1
xslope2 = np.arange(0, len(xfilt[islope2]), 1) xslope2 = np.arange(0, len(xfilt[islope2]), 1)
@ -459,7 +473,7 @@ def wadaticheck(pickdic, dttolerance, iplot):
pickdic[key]['S']['marked'] = marker pickdic[key]['S']['marked'] = marker
if len(checkedPpicks) >= 3:
# calculate new slope # calculate new slope
p2 = np.polyfit(checkedPpicks, checkedSPtimes, 1) p2 = np.polyfit(checkedPpicks, checkedSPtimes, 1)
wdfit2 = np.polyval(p2, checkedPpicks) wdfit2 = np.polyval(p2, checkedPpicks)
@ -467,6 +481,9 @@ def wadaticheck(pickdic, dttolerance, iplot):
# calculate vp/vs ratio after check # calculate vp/vs ratio after check
cvpvsr = p2[0] + 1 cvpvsr = p2[0] + 1
print 'wadaticheck: Average Vp/Vs ratio after check:', cvpvsr print 'wadaticheck: Average Vp/Vs ratio after check:', cvpvsr
else:
print 'wadatacheck: Not enough checked S-P times available!'
print 'Skip Wadati check!'
checkedonsets = pickdic checkedonsets = pickdic
@ -476,6 +493,7 @@ def wadaticheck(pickdic, dttolerance, iplot):
wfitflag = 1 wfitflag = 1
# plot results # plot results
iplot=2
if iplot > 1: if iplot > 1:
plt.figure(iplot) plt.figure(iplot)
f1, = plt.plot(Ppicks, SPtimes, 'ro') f1, = plt.plot(Ppicks, SPtimes, 'ro')