New function iteratepicker for iterative picking.
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@ -3,7 +3,7 @@
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"""
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Function to run automated picking algorithms using AIC,
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HOS and AR prediction. Uses object CharFuns and Picker and
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HOS and AR prediction. Uses objects CharFuns and Picker and
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function conglomerate utils.
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:author: MAGS2 EP3 working group / Ludger Kueperkoch
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@ -16,6 +16,7 @@ from pylot.core.pick.Picker import AICPicker, PragPicker
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from pylot.core.pick.CharFuns import HOScf, AICcf, ARZcf, ARHcf, AR3Ccf
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from pylot.core.pick.utils import checksignallength, checkZ4S, earllatepicker,\
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getSNR, fmpicker, checkPonsets, wadaticheck, crossings_nonzero_all
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from pylot.core.util.utils import getPatternLine
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from pylot.core.read.data import Data
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from pylot.core.analysis.magnitude import WApp, DCfc
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@ -316,12 +317,11 @@ def autopickstation(wfstream, pickparam):
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# from P pulse
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# initialize Data object
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data = Data()
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[corzdat, restflag] = data.restituteWFData(invdir, zdat)
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z_copy = zdat.copy()
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[corzdat, restflag] = data.restituteWFData(invdir, z_copy)
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if restflag == 1:
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# integrate to displacement
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corintzdat = integrate.cumtrapz(corzdat[0], None, corzdat[0].stats.delta)
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# class needs stream object => build it
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z_copy = zdat.copy()
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z_copy[0].data = corintzdat
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# largest detectable period == window length
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# after P pulse for calculating source spectrum
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@ -799,3 +799,74 @@ def autopickstation(wfstream, pickparam):
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picks[phase]['Ao'] = Ao
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return picks
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def iteratepicker(wf, NLLocfile, picks, badpicks, pickparameter):
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'''
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Repicking of bad onsets. Uses theoretical onset times from NLLoc-location file.
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:param wf: waveform, obspy stream object
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:param NLLocfile: path/name of NLLoc-location file
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:param picks: dictionary of available onset times
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:param badpicks: picks to be repicked
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:param pickparameter: picking parameters from autoPyLoT-input file
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'''
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newpicks = {}
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for i in range(0, len(badpicks)):
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if len(badpicks[i][0]) > 4:
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Ppattern = '%s ? ? ? P' % badpicks[i][0]
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elif len(badpicks[i][0]) == 4:
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Ppattern = '%s ? ? ? P' % badpicks[i][0]
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elif len(badpicks[i][0]) < 4:
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Ppattern = '%s ? ? ? P' % badpicks[i][0]
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nllocline = getPatternLine(NLLocfile, Ppattern)
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res = nllocline.split(None)[16]
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# get theoretical P-onset time from residuum
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badpicks[i][1] = picks[badpicks[i][0]]['P']['mpp'] - float(res)
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# get corresponding waveform stream
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wf2pick = wf.select(station=badpicks[i][0])
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# modify some picking parameters
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pstart_old = pickparameter.getParam('pstart')
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pstop_old = pickparameter.getParam('pstop')
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pickwinP_old = pickparameter.getParam('pickwinP')
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Precalcwin_old = pickparameter.getParam('Precalcwin')
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pickparameter.setParam(pstart=badpicks[i][1] - wf2pick[0].stats.starttime \
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- pickparameter.getParam('tlta'))
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pickparameter.setParam(pstop=pickparameter.getParam('pstart') + \
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(3 * pickparameter.getParam('tlta')))
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pickparameter.setParam(pickwinP=pickparameter.getParam('pickwinP') / 2)
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pickparameter.setParam(Precalcwin=pickparameter.getParam('Precalcwin') / 2)
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pickparameter.setParam(iplot=2)
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print("iteratepicker: The following picking parameters have been modified for iterative picking:")
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print("pstart: %fs => %fs" % (pstart_old, pickparameter.getParam('pstart')))
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print("pstop: %fs => %fs" % (pstop_old, pickparameter.getParam('pstop')))
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print("pickwinP: %fs => %fs" % (pickwinP_old, pickparameter.getParam('pickwinP')))
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print("Precalcwin: %fs => %fs" % (Precalcwin_old, pickparameter.getParam('Precalcwin')))
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# repick station
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newpicks = autopickstation(wf2pick, pickparameter)
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# replace old dictionary with new one
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picks[badpicks[i][0]] = newpicks
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# reset temporary change of picking parameters
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print("iteratepicker: Resetting picking parameters ...")
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pickparameter.setParam(pstart=pstart_old)
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pickparameter.setParam(pstop=pstop_old)
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pickparameter.setParam(pickwinP=pickwinP_old)
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pickparameter.setParam(Precalcwin=Precalcwin_old)
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return picks
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