renaming run_autopicking to autopickstation
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@ -35,7 +35,7 @@ def autopickevent(data, param):
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for station in stations:
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topick = data.select(station=station)
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all_onsets[station] = run_autopicking(topick, param)
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all_onsets[station] = autopickstation(topick, param)
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# quality control
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# median check and jackknife on P-onset times
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@ -43,7 +43,7 @@ def autopickevent(data, param):
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# check S-P times (Wadati)
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return wadaticheck(jk_checked_onsets, wdttolerance, iplot)
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def run_autopicking(wfstream, pickparam):
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def autopickstation(wfstream, pickparam):
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"""
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:param: wfstream
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:type: `~obspy.core.stream.Stream`
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@ -144,7 +144,7 @@ def run_autopicking(wfstream, pickparam):
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if algoP == 'HOS' or algoP == 'ARZ' and zdat is not None:
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print '##########################################'
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print 'run_autopicking: Working on P onset of station %s' % zdat[
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print 'autopickstation: Working on P onset of station %s' % zdat[
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0].stats.station
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print 'Filtering vertical trace ...'
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print zdat
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@ -161,7 +161,7 @@ def run_autopicking(wfstream, pickparam):
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Lwf = zdat[0].stats.endtime - zdat[0].stats.starttime
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Ldiff = Lwf - Lc
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if Ldiff < 0:
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print 'run_autopicking: Cutting times are too large for actual ' \
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print 'autopickstation: Cutting times are too large for actual ' \
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'waveform!'
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print 'Use entire waveform instead!'
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pstart = 0
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@ -234,7 +234,7 @@ def run_autopicking(wfstream, pickparam):
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(aicpick.getSlope(), aicpick.getSNR())
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print 'Go on with refined picking ...'
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# re-filter waveform with larger bandpass
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print 'run_autopicking: re-filtering vertical trace ...'
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print 'autopickstation: re-filtering vertical trace ...'
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z_copy = zdat.copy()
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tr_filt = zdat[0].copy()
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tr_filt.filter('bandpass', freqmin=bpz2[0], freqmax=bpz2[1],
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@ -292,7 +292,7 @@ def run_autopicking(wfstream, pickparam):
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else:
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FM = 'N'
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print 'run_autopicking: P-weight: %d, SNR: %f, SNR[dB]: %f, ' \
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print 'autopickstation: P-weight: %d, SNR: %f, SNR[dB]: %f, ' \
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'Polarity: %s' % (Pweight, SNRP, SNRPdB, FM)
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Sflag = 1
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@ -302,7 +302,7 @@ def run_autopicking(wfstream, pickparam):
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Sflag = 0
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else:
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print 'run_autopicking: No vertical component data availabler!, ' \
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print 'autopickstation: No vertical component data availabler!, ' \
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'Skip station!'
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if edat is not None and ndat is not None and len(edat) > 0 and len(
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@ -395,7 +395,7 @@ def run_autopicking(wfstream, pickparam):
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cuttimesh2 = [round(aicarhpick.getpick() - Srecalcwin),
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round(aicarhpick.getpick() + Srecalcwin)]
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# re-filter waveform with larger bandpass
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print 'run_autopicking: re-filtering horizontal traces...'
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print 'autopickstation: re-filtering horizontal traces...'
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h_copy = hdat.copy()
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# filter and taper data
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if algoS == 'ARH':
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@ -498,7 +498,7 @@ def run_autopicking(wfstream, pickparam):
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elif Serror > timeerrorsS[3]:
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Sweight = 4
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print 'run_autopicking: S-weight: %d, SNR: %f, SNR[dB]: %f' % (
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print 'autopickstation: S-weight: %d, SNR: %f, SNR[dB]: %f' % (
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Sweight, SNRS, SNRSdB)
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else:
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@ -507,7 +507,7 @@ def run_autopicking(wfstream, pickparam):
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'AIC-Slope=', aicarhpick.getSlope()
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else:
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print 'run_autopicking: No horizontal component data available or ' \
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print 'autopickstation: No horizontal component data available or ' \
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'bad P onset, skipping S picking!'
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##############################################################
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