Take into account that for individual stations cut times are set to zero, which has then lead to wrong initial pick times.
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@ -74,6 +74,7 @@ def earllatepicker(X, nfac, TSNR, Pick1, iplot=0, verbosity=1, fig=None, linecol
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x = X[0].data
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t = np.linspace(0, X[0].stats.npts / X[0].stats.sampling_rate,
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X[0].stats.npts)
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inoise = getnoisewin(t, Pick1, TSNR[0], TSNR[1])
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# get signal window
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isignal = getsignalwin(t, Pick1, TSNR[2])
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@ -824,6 +825,10 @@ def checksignallength(X, pick, minsiglength, pickparams, iplot=0, fig=None, line
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rms = abs(x1)
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t = np.linspace(0, X[0].stats.delta * ilen, ilen)
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if pick >= t[np.size(t)-1]: # it might happen, that for individual stations cut times
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# are set to zero because of too small time series
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# => pick time has to be reduced for pstart
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pick = pick - pickparams["pstart"]
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# get noise window in front of pick plus saftey gap
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inoise = getnoisewin(t, pick, TSNR[0], TSNR[1])
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@ -1141,6 +1146,11 @@ def checkZ4S(X, pick, pickparams, iplot, fig=None, linecolor='k'):
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te = np.arange(0, edat[0].stats.npts / edat[0].stats.sampling_rate,
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edat[0].stats.delta)
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if pick >= tz[np.size(tz)-1]: # it might happen, that for individual stations cut times
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# are set to zero because of too small time series
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# => pick time has to be reduced for pstart
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pick = pick - pickparams["pstart"]
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zdiff = (zdat[0].stats.starttime - min_t)
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ndiff = (ndat[0].stats.starttime - min_t)
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ediff = (edat[0].stats.starttime - min_t)
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