Cleaned up source code, debuged: calculates now T/4 instead of T/8 out of zero crossings.
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@ -43,10 +43,9 @@ def earllatepicker(X, nfac, TSNR, Pick1, iplot=None):
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LPick = None
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EPick = None
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PickError = None
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if Pick1 is not None:
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print 'earllatepicker: Get earliest and latest possible pick 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, X[0].stats.delta)
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#some parameters needed:
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tnoise = TSNR[0] #noise window length for calculating noise level
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@ -85,14 +84,14 @@ def earllatepicker(X, nfac, TSNR, Pick1, iplot=None):
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zc.append(t[isignal][i])
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if len(zc) == 3:
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break
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#calculate maximum period of signal out of zero crossings
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Ts = max(np.diff(zc))
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#Ts/4 is assumed as time difference between most likely and earliest possible pick!
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EPick = Pick1 - Ts/4
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#calculate maximum period T0 of signal out of zero crossings
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T0 = max(np.diff(zc)) #this is half wave length!
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#T0/4 is assumed as time difference between most likely and earliest possible pick!
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EPick = Pick1 - T0/2
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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 two times earliest possible pick
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diffti_tl = LPick -Pick1
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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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@ -120,10 +119,6 @@ def earllatepicker(X, nfac, TSNR, Pick1, iplot=None):
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raw_input()
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plt.close(iplot)
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elif Pick1 == None:
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print 'earllatepicker: No initial onset time given! Check input!'
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return
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return EPick, LPick, PickError
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if __name__ == "__main__":
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