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