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Debugging.

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This commit is contained in:
Ludger Küperkoch 2015-06-22 16:01:16 +02:00
parent f2510ff400
commit 833b29a488
1 changed files with 67 additions and 65 deletions
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132
pylot/core/pick/run_autopicking.py
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@ -13,7 +13,7 @@ import matplotlib.pyplot as plt
import numpy as np
from pylot.core.pick.Picker import *
from pylot.core.pick.CharFuns import *
import pdb
def run_autopicking(wfstream, pickparam):
"""
:param: wfstream
@ -189,36 +189,37 @@ def run_autopicking(wfstream, pickparam):
aicpick.getpick())
mpickP = refPpick.getpick()
#############################################################
# quality assessment
# get earliest and latest possible pick and symmetrized uncertainty
[lpickP, epickP, Perror] = earllatepicker(z_copy, nfacP, tsnrz, mpickP, iplot)
if mpickP is not None:
# quality assessment
# get earliest and latest possible pick and symmetrized uncertainty
[lpickP, epickP, Perror] = earllatepicker(z_copy, nfacP, tsnrz, mpickP, iplot)
# get SNR
[SNRP, SNRPdB, Pnoiselevel] = getSNR(z_copy, tsnrz, mpickP)
# get SNR
[SNRP, SNRPdB, Pnoiselevel] = getSNR(z_copy, tsnrz, mpickP)
# weight P-onset using symmetric error
if Perror <= timeerrorsP[0]:
Pweight = 0
elif timeerrorsP[0] < Perror <= timeerrorsP[1]:
Pweight = 1
elif timeerrorsP[1] < Perror <= timeerrorsP[2]:
Pweight = 2
elif timeerrorsP[2] < Perror <= timeerrorsP[3]:
Pweight = 3
elif Perror > timeerrorsP[3]:
Pweight = 4
# weight P-onset using symmetric error
if Perror <= timeerrorsP[0]:
Pweight = 0
elif timeerrorsP[0] < Perror <= timeerrorsP[1]:
Pweight = 1
elif timeerrorsP[1] < Perror <= timeerrorsP[2]:
Pweight = 2
elif timeerrorsP[2] < Perror <= timeerrorsP[3]:
Pweight = 3
elif Perror > timeerrorsP[3]:
Pweight = 4
##############################################################
# get first motion of P onset
# certain quality required
if Pweight <= minfmweight and SNRP >= minFMSNR:
FM = fmpicker(zdat, z_copy, fmpickwin, mpickP, iplot)
else:
FM = 'N'
##############################################################
# get first motion of P onset
# certain quality required
if Pweight <= minfmweight and SNRP >= minFMSNR:
FM = fmpicker(zdat, z_copy, fmpickwin, mpickP, iplot)
else:
FM = 'N'
print 'run_autopicking: P-weight: %d, SNR: %f, SNR[dB]: %f, ' \
'Polarity: %s' % (Pweight, SNRP, SNRPdB, FM)
Sflag = 1
print 'run_autopicking: P-weight: %d, SNR: %f, SNR[dB]: %f, ' \
'Polarity: %s' % (Pweight, SNRP, SNRPdB, FM)
Sflag = 1
else:
print 'Bad initial (AIC) P-pick, skip this onset!'
@ -360,50 +361,51 @@ def run_autopicking(wfstream, pickparam):
tsmoothS, aicarhpick.getpick())
mpickS = refSpick.getpick()
#############################################################
# quality assessment
# get earliest and latest possible pick and symmetrized uncertainty
h_copy[0].data = trH1_filt.data
[lpickS1, epickS1, Serror1] = earllatepicker(h_copy, nfacS, tsnrh,
if mpickS is not None:
# quality assessment
# get earliest and latest possible pick and symmetrized uncertainty
h_copy[0].data = trH1_filt.data
[lpickS1, epickS1, Serror1] = earllatepicker(h_copy, nfacS, tsnrh,
mpickS, iplot)
h_copy[0].data = trH2_filt.data
[lpickS2, epickS2, Serror2] = earllatepicker(h_copy, nfacS, tsnrh,
mpickS, iplot)
h_copy[0].data = trH2_filt.data
[lpickS2, epickS2, Serror2] = earllatepicker(h_copy, nfacS, tsnrh,
mpickS, iplot)
if algoS == 'ARH':
# get earliest pick of both earliest possible picks
epick = [epickS1, epickS2]
lpick = [lpickS1, lpickS2]
pickerr = [Serror1, Serror2]
ipick = np.argmin([epickS1, epickS2])
elif algoS == 'AR3':
[lpickS3, epickS3, Serror3] = earllatepicker(h_copy, nfacS,
if algoS == 'ARH':
# get earliest pick of both earliest possible picks
epick = [epickS1, epickS2]
lpick = [lpickS1, lpickS2]
pickerr = [Serror1, Serror2]
ipick = np.argmin([epickS1, epickS2])
elif algoS == 'AR3':
[lpickS3, epickS3, Serror3] = earllatepicker(h_copy, nfacS,
tsnrh,
mpickS, iplot)
# get earliest pick of all three picks
epick = [epickS1, epickS2, epickS3]
lpick = [lpickS1, lpickS2, lpickS3]
pickerr = [Serror1, Serror2, Serror3]
ipick = np.argmin([epickS1, epickS2, epickS3])
epickS = epick[ipick]
lpickS = lpick[ipick]
Serror = pickerr[ipick]
# get earliest pick of all three picks
epick = [epickS1, epickS2, epickS3]
lpick = [lpickS1, lpickS2, lpickS3]
pickerr = [Serror1, Serror2, Serror3]
ipick = np.argmin([epickS1, epickS2, epickS3])
epickS = epick[ipick]
lpickS = lpick[ipick]
Serror = pickerr[ipick]
# get SNR
[SNRS, SNRSdB, Snoiselevel] = getSNR(h_copy, tsnrh, mpickS)
# get SNR
[SNRS, SNRSdB, Snoiselevel] = getSNR(h_copy, tsnrh, mpickS)
# weight S-onset using symmetric error
if Serror <= timeerrorsS[0]:
Sweight = 0
elif timeerrorsS[0] < Serror <= timeerrorsS[1]:
Sweight = 1
elif Perror > timeerrorsS[1] and Serror <= timeerrorsS[2]:
Sweight = 2
elif timeerrorsS[2] < Serror <= timeerrorsS[3]:
Sweight = 3
elif Serror > timeerrorsS[3]:
Sweight = 4
# weight S-onset using symmetric error
if Serror <= timeerrorsS[0]:
Sweight = 0
elif timeerrorsS[0] < Serror <= timeerrorsS[1]:
Sweight = 1
elif Perror > timeerrorsS[1] and Serror <= timeerrorsS[2]:
Sweight = 2
elif timeerrorsS[2] < Serror <= timeerrorsS[3]:
Sweight = 3
elif Serror > timeerrorsS[3]:
Sweight = 4
print 'run_autopicking: S-weight: %d, SNR: %f, SNR[dB]: %f' % (
Sweight, SNRS, SNRSdB)
print 'run_autopicking: S-weight: %d, SNR: %f, SNR[dB]: %f' % (
Sweight, SNRS, SNRSdB)
else:
print 'Bad initial (AIC) S-pick, skip this onset!'