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Corrected calculation of Vp/Vs ratio in wadaticheck, now determined from slope of trend as it should be.

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This commit is contained in:
Ludger Küperkoch 2015-06-22 09:32:33 +02:00
parent a95caa5efc
commit 3330a3ae35
1 changed files with 12 additions and 11 deletions
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23
pylot/core/pick/utils.py
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@ -409,7 +409,7 @@ def wadaticheck(pickdic, dttolerance, iplot):
for key in pickdic: for key in pickdic:
if pickdic[key]['P']['weight'] < 4 and pickdic[key]['S']['weight'] < 4: if pickdic[key]['P']['weight'] < 4 and pickdic[key]['S']['weight'] < 4:
# calculate S-P time # calculate S-P time
spt = UTCDateTime(pickdic[key]['S']['mpp']) - UTCDateTime(pickdic[key]['P']['mpp']) spt = pickdic[key]['S']['mpp'] - pickdic[key]['P']['mpp']
# add S-P time to dictionary # add S-P time to dictionary
pickdic[key]['SPt'] = spt pickdic[key]['SPt'] = spt
# add P onsets and corresponding S-P times to list # add P onsets and corresponding S-P times to list
@ -420,9 +420,6 @@ def wadaticheck(pickdic, dttolerance, iplot):
SPtimes.append(spt) SPtimes.append(spt)
vpvs.append(UTCPpick/UTCSpick) vpvs.append(UTCPpick/UTCSpick)
# calculate average vp/vs ratio before check
vpvsr = np.mean(vpvs)
print 'wadaticheck: Average Vp/Vs ratio before check:', vpvsr
if len(SPtimes) >= 3: if len(SPtimes) >= 3:
# calculate slope # calculate slope
@ -430,6 +427,10 @@ def wadaticheck(pickdic, dttolerance, iplot):
wdfit = np.polyval(p1, Ppicks) wdfit = np.polyval(p1, Ppicks)
wfitflag = 0 wfitflag = 0
# calculate average vp/vs ratio before check
vpvsr = p1[0] + 1
print 'wadaticheck: Average Vp/Vs ratio before check:', vpvsr
checkedPpicks = [] checkedPpicks = []
checkedSpicks = [] checkedSpicks = []
checkedSPtimes = [] checkedSPtimes = []
@ -454,21 +455,21 @@ def wadaticheck(pickdic, dttolerance, iplot):
checkedSpick = UTCDateTime(pickdic[key]['S']['mpp']) - \ checkedSpick = UTCDateTime(pickdic[key]['S']['mpp']) - \
UTCDateTime(1970,1,1,0,0,0) UTCDateTime(1970,1,1,0,0,0)
checkedSpicks.append(checkedSpick) checkedSpicks.append(checkedSpick)
checkedSPtime = UTCDateTime(pickdic[key]['S']['mpp']) - \ checkedSPtime = pickdic[key]['S']['mpp'] - pickdic[key]['P']['mpp']
UTCDateTime(pickdic[key]['P']['mpp'])
checkedSPtimes.append(checkedSPtime) checkedSPtimes.append(checkedSPtime)
checkedvpvs.append(checkedPpick/checkedSpick) checkedvpvs.append(checkedPpick/checkedSpick)
pickdic[key]['S']['marked'] = marker pickdic[key]['S']['marked'] = marker
# calculate average vp/vs ratio after check
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) p2 = np.polyfit(checkedPpicks, checkedSPtimes, 1)
wdfit2 = np.polyval(p2, checkedPpicks) wdfit2 = np.polyval(p2, checkedPpicks)
# calculate average vp/vs ratio after check
cvpvsr = p2[0] + 1
print 'wadaticheck: Average Vp/Vs ratio after check:', cvpvsr
checkedonsets = pickdic checkedonsets = pickdic
else: else:
@ -478,7 +479,7 @@ def wadaticheck(pickdic, dttolerance, iplot):
# plot results # plot results
if iplot > 1: if iplot > 1:
f = plt.figure(iplot) plt.figure(iplot)
f1, = plt.plot(Ppicks, SPtimes, 'ro') f1, = plt.plot(Ppicks, SPtimes, 'ro')
if wfitflag == 0: if wfitflag == 0:
f2, = plt.plot(Ppicks, wdfit, 'k') f2, = plt.plot(Ppicks, wdfit, 'k')
@ -492,6 +493,6 @@ def wadaticheck(pickdic, dttolerance, iplot):
'Wadati 2'], loc='best') 'Wadati 2'], loc='best')
plt.show() plt.show()
raw_input() raw_input()
plt.close(f) plt.close(iplot)
return checkedonsets return checkedonsets