Marginal changes only.
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@ -4,10 +4,10 @@
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Created Mar 2015
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Transcription of the rezipe of Diehl et al. (2009) for consistent phase
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picking. For a given inital (the most likely) pick, the corresponding earliest
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and latest possible picks are calculated based on noise measurements in front of
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and latest possible pick is calculated based on noise measurements in front of
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the most likely pick and signal wavelength derived from zero crossings.
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:author: MAGS2 EP3 working group / Ludger Kueperkoch
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:author: Ludger Kueperkoch / MAGS2 EP3 working group
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"""
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import numpy as np
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import matplotlib.pyplot as plt
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@ -19,21 +19,23 @@ def earllatepicker(X, nfac, TSNR, Pick1, iplot=None):
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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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earliest possible pick is half a signal wavelength in front of most likely
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pick given by PragPicker. Most likely pick (initial pick) must be given.
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pick given by PragPicker or manually set by analyst. Most likely pick
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(initial pick Pick1) must be given.
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:param: x, time series (seismogram)
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:param: X, time series (seismogram)
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:type: `~obspy.core.stream.Stream`
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:param: nfac (noise factor), nfac times noise level to calculate latest possible pick
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in EarlLatePicker
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:type: int
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:param: TSNR, length of time windows around pick used to determine SNR [s]
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:type: tuple (T_noise, T_gap, T_signal)
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:param: Pick1, initial (prelimenary) onset time, starting point for EarlLatePicker
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:param: Pick1, initial (most likely) onset time, starting point for earllatepicker
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:type: float
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:param: iplot, if given, results are plotted in figure(iplot)
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:type: int
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'''
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assert isinstance(X, Stream), "%s is not a stream object" % str(X)
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@ -71,7 +73,7 @@ def earllatepicker(X, nfac, TSNR, Pick1, iplot=None):
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#get earliest possible pick
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#get next 2 zero crossings after most likely pick
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#if there is one trace in stream
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#initial onset is assumed to be the first zero crossing
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zc = []
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zc.append(Pick1)
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i = 0
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@ -89,7 +91,7 @@ def earllatepicker(X, nfac, TSNR, Pick1, iplot=None):
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EPick = Pick1 - Ts/4
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#get symmetric pick error as mean from earliest and latest possible pick
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#by weighting latest possible pick tow times earliest possible pick
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#by weighting latest possible pick two times earliest possible pick
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diffti_tl = LPick -Pick1
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diffti_te = Pick1 - EPick
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PickError = (diffti_te + 2 * diffti_tl) / 3
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@ -134,5 +136,3 @@ if __name__ == "__main__":
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parser.add_argument('--iplot', type=int, help='if set, figure no. iplot occurs')
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args = parser.parse_args()
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earllatepicker(args.X, args.nfac, args.TSNR, args.Pick1, args.iplot)
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#earllatepicker(X, nfac, TSNR, Pick1, iplot)
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