[edit] decreased unwanted verbosity
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54b557930f
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@ -331,7 +331,7 @@ class SeismicShot(object):
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self.picks[traceID]['spe']) = earllatepicker(self.getSingleStream(traceID),
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self.picks[traceID]['spe']) = earllatepicker(self.getSingleStream(traceID),
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nfac, (tnoise, tgap, tsignal),
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nfac, (tnoise, tgap, tsignal),
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self.getPickIncludeRemoved(traceID),
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self.getPickIncludeRemoved(traceID),
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stealthMode=True)
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stealth_mode=True)
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if self.picks[traceID]['epp'] < 0:
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if self.picks[traceID]['epp'] < 0:
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self.picks[traceID]['epp']
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self.picks[traceID]['epp']
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@ -343,7 +343,7 @@ def reassess_pilot_event(root_dir, event_id, out_dir=None, fn_param=None, verbos
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default.get('tsnrz' if phase == 'P' else 'tsnrh'),
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default.get('tsnrz' if phase == 'P' else 'tsnrh'),
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Pick1=rel_pick,
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Pick1=rel_pick,
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iplot=None,
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iplot=None,
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stealthMode=True)
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stealth_mode=True)
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if epp is None or lpp is None:
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if epp is None or lpp is None:
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continue
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continue
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epp = stime + epp
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epp = stime + epp
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@ -16,7 +16,7 @@ import numpy as np
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from obspy.core import Stream, UTCDateTime
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from obspy.core import Stream, UTCDateTime
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def earllatepicker(X, nfac, TSNR, Pick1, iplot=None, stealthMode=False):
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def earllatepicker(X, nfac, TSNR, Pick1, iplot=None, stealth_mode=False):
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'''
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'''
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Function to derive earliest and latest possible pick after Diehl & Kissling (2009)
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Function to derive earliest and latest possible pick after Diehl & Kissling (2009)
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as reasonable uncertainties. Latest possible pick is based on noise level,
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as reasonable uncertainties. Latest possible pick is based on noise level,
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@ -45,8 +45,9 @@ def earllatepicker(X, nfac, TSNR, Pick1, iplot=None, stealthMode=False):
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LPick = None
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LPick = None
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EPick = None
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EPick = None
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PickError = None
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PickError = None
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if stealthMode is False:
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if stealth_mode is False:
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print 'earllatepicker: Get earliest and latest possible pick relative to most likely pick ...'
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print('earllatepicker: Get earliest and latest possible pick'
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' relative to most likely pick ...')
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x = X[0].data
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x = X[0].data
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t = np.arange(0, X[0].stats.npts / X[0].stats.sampling_rate,
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t = np.arange(0, X[0].stats.npts / X[0].stats.sampling_rate,
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@ -62,8 +63,9 @@ def earllatepicker(X, nfac, TSNR, Pick1, iplot=None, stealthMode=False):
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ilup, = np.where(x[isignal] > nlevel)
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ilup, = np.where(x[isignal] > nlevel)
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ildown, = np.where(x[isignal] < -nlevel)
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ildown, = np.where(x[isignal] < -nlevel)
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if not ilup.size and not ildown.size:
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if not ilup.size and not ildown.size:
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print ("earllatepicker: Signal lower than noise level!")
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if stealth_mode is False:
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print ("Skip this trace!")
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print ("earllatepicker: Signal lower than noise level!\n"
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"Skip this trace!")
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return LPick, EPick, PickError
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return LPick, EPick, PickError
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il = min(np.min(ilup) if ilup.size else float('inf'),
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il = min(np.min(ilup) if ilup.size else float('inf'),
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np.min(ildown) if ildown.size else float('inf'))
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np.min(ildown) if ildown.size else float('inf'))
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@ -78,7 +80,7 @@ def earllatepicker(X, nfac, TSNR, Pick1, iplot=None, stealthMode=False):
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# if EPick stays NaN the signal window size will be doubled
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# if EPick stays NaN the signal window size will be doubled
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while np.isnan(EPick):
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while np.isnan(EPick):
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if count > 0:
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if count > 0:
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if stealthMode is False:
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if stealth_mode is False:
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print("\nearllatepicker: Doubled signal window size %s time(s) "
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print("\nearllatepicker: Doubled signal window size %s time(s) "
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"because of NaN for earliest pick." % count)
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"because of NaN for earliest pick." % count)
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isigDoubleWinStart = pis[-1] + 1
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isigDoubleWinStart = pis[-1] + 1
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@ -87,7 +89,8 @@ def earllatepicker(X, nfac, TSNR, Pick1, iplot=None, stealthMode=False):
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if (isigDoubleWinStart + len(pis)) < X[0].data.size:
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if (isigDoubleWinStart + len(pis)) < X[0].data.size:
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pis = np.concatenate((pis, isignalDoubleWin))
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pis = np.concatenate((pis, isignalDoubleWin))
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else:
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else:
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print("Could not double signal window. Index out of bounds.")
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if stealth_mode is False:
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print("Could not double signal window. Index out of bounds.")
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break
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break
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count += 1
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count += 1
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# determine all zero crossings in signal window (demeaned)
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# determine all zero crossings in signal window (demeaned)
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