Merge branch 'develop' of ariadne.geophysik.rub.de:/data/git/pylot into develop
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commit
726c823646
@ -244,12 +244,15 @@ def autopickstation(wfstream, pickparam, verbose=False,
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# get first P and S onsets from arrivals list
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# get first P and S onsets from arrivals list
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arrP, estFirstP = min([(arr, arr.time) for arr in phases['P']], key = lambda t: t[1])
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arrP, estFirstP = min([(arr, arr.time) for arr in phases['P']], key = lambda t: t[1])
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arrS, estFirstS = min([(arr, arr.time) for arr in phases['S']], key = lambda t: t[1])
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arrS, estFirstS = min([(arr, arr.time) for arr in phases['S']], key = lambda t: t[1])
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print('autopick: estimated first arrivals for P: {}, S:{} using TauPy'.format(estFirstP, estFirstS))
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print('autopick: estimated first arrivals for P: {} s, S:{} s after event'
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' origin time using TauPy'.format(estFirstP, estFirstS))
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# modifiy pstart and pstop relative to estimated first P arrival (relative to station time axis)
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# modifiy pstart and pstop relative to estimated first P arrival (relative to station time axis)
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pstart += (source_origin.time + estFirstP) - wfstart
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pstart += (source_origin.time + estFirstP) - zdat[0].stats.starttime
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pstop += (source_origin.time + estFirstP) - wfstart
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pstop += (source_origin.time + estFirstP) - zdat[0].stats.starttime
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Lc = pstop - pstart
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Lc = pstop - pstart
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print('autopick: CF calculation times respectively:'
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' pstart: {} s, pstop: {} s'.format(pstart, pstop))
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else:
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else:
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print('No source origins given!')
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print('No source origins given!')
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@ -580,7 +583,7 @@ def autopickstation(wfstream, pickparam, verbose=False,
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aictsmoothS, fig=fig)
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aictsmoothS, fig=fig)
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###############################################################
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###############################################################
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# go on with processing if AIC onset passes quality control
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# go on with processing if AIC onset passes quality control
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slope = aicpick.getSlope()
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slope = aicarhpick.getSlope()
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if not slope:
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if not slope:
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slope = 0
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slope = 0
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if (slope >= minAICSslope and
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if (slope >= minAICSslope and
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@ -243,7 +243,7 @@ class AICPicker(AutoPicker):
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# find maximum within slope determination window
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# find maximum within slope determination window
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# 'cause slope should be calculated up to first local minimum only!
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# 'cause slope should be calculated up to first local minimum only!
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imax = np.argmax(self.Data[0].data[islope])
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imax = np.argmax(self.Data[0].data[islope])
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iislope = islope[0][0:imax]
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iislope = islope[0][0:imax+1]
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if len(iislope) <= 2:
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if len(iislope) <= 2:
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# calculate slope from initial onset to maximum of AIC function
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# calculate slope from initial onset to maximum of AIC function
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print("AICPicker: Not enough data samples left for slope calculation!")
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print("AICPicker: Not enough data samples left for slope calculation!")
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@ -271,7 +271,7 @@ class AICPicker(AutoPicker):
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raw_input()
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raw_input()
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plt.close(fig)
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plt.close(fig)
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return
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return
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iislope = islope[0][0:imax]
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iislope = islope[0][0:imax+1]
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dataslope = self.Data[0].data[iislope]
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dataslope = self.Data[0].data[iislope]
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# calculate slope as polynomal fit of order 1
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# calculate slope as polynomal fit of order 1
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xslope = np.arange(0, len(dataslope), 1)
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xslope = np.arange(0, len(dataslope), 1)
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@ -280,7 +280,7 @@ class AICPicker(AutoPicker):
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if datafit[0] >= datafit[len(datafit) - 1]:
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if datafit[0] >= datafit[len(datafit) - 1]:
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print('AICPicker: Negative slope, bad onset skipped!')
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print('AICPicker: Negative slope, bad onset skipped!')
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return
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return
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self.slope = 1 / tslope * (datafit[len(dataslope) - 1] - datafit[0])
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self.slope = 1 / len(dataslope) * (datafit[len(dataslope) - 1] - datafit[0])
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else:
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else:
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self.SNR = None
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self.SNR = None
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