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[bugfix] determination of zero crossings breaks down if data is not demeaned in the signal window (explicitly demeaning data in the signal window when determining the zero crossings)

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Sebastian Wehling-Benatelli 2015-06-22 10:52:26 +02:00
parent a95caa5efc
commit 864ef6c64d
1 changed files with 10 additions and 10 deletions
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20
pylot/core/pick/utils.py
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@ -65,8 +65,8 @@ def earllatepicker(X, nfac, TSNR, Pick1, iplot=None):
#get earliest possible pick
#determine all zero crossings in signal window
zc = crossings_nonzero_all(x[isignal])
#determine all zero crossings in signal window (demeaned)
zc = crossings_nonzero_all(x[isignal] - x[isignal].mean())
#calculate mean half period T0 of signal as the average of the
T0 = np.mean(np.diff(zc)) * X[0].stats.delta #this is half wave length!
#T0/4 is assumed as time difference between most likely and earliest possible pick!
@ -390,8 +390,8 @@ def wadaticheck(pickdic, dttolerance, iplot):
: param: pickdic, dictionary containing picks and quality parameters
: type: dictionary
: param: dttolerance, maximum adjusted deviation of S-P time from
: param: dttolerance, maximum adjusted deviation of S-P time from
S-P time regression
: type: float
@ -425,11 +425,11 @@ def wadaticheck(pickdic, dttolerance, iplot):
print 'wadaticheck: Average Vp/Vs ratio before check:', vpvsr
if len(SPtimes) >= 3:
# calculate slope
# calculate slope
p1 = np.polyfit(Ppicks, SPtimes, 1)
wdfit = np.polyval(p1, Ppicks)
wfitflag = 0
checkedPpicks = []
checkedSpicks = []
checkedSPtimes = []
@ -438,11 +438,11 @@ def wadaticheck(pickdic, dttolerance, iplot):
for key in pickdic:
if pickdic[key].has_key('SPt'):
ii = 0
wddiff = abs(pickdic[key]['SPt'] - wdfit[ii])
wddiff = abs(pickdic[key]['SPt'] - wdfit[ii])
ii += 1
# check, if deviation is larger than adjusted
if wddiff >= dttolerance:
# mark onset and downgrade S-weight to 9
# mark onset and downgrade S-weight to 9
# (not used anymore)
marker = 'badWadatiCheck'
pickdic[key]['S']['weight'] = 9
@ -465,12 +465,12 @@ def wadaticheck(pickdic, dttolerance, iplot):
cvpvsr = np.mean(checkedvpvs)
print 'wadaticheck: Average Vp/Vs ratio after check:', cvpvsr
# calculate new slope
# calculate new slope
p2 = np.polyfit(checkedPpicks, checkedSPtimes, 1)
wdfit2 = np.polyval(p2, checkedPpicks)
checkedonsets = pickdic
else:
print 'wadaticheck: Not enough S-P times available for reliable regression!'
print 'Skip wadati check!'