[refactor] major refactoring of autoPyLoT and making use of the newly introduced Magnitude objects
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autoPyLoT.py
213
autoPyLoT.py
@ -5,17 +5,18 @@ from __future__ import print_function
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import argparse
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import glob
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import string
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import os
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import numpy as np
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from obspy import read_events
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from pylot.core.analysis.magnitude import MomentMagnitude
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import pylot.core.loc.hsat as hsat
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import pylot.core.loc.nll as nll
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from pylot.core.analysis.magnitude import MomentMagnitude, RichterMagnitude
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from pylot.core.io.data import Data
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from pylot.core.io.inputs import AutoPickParameter
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import pylot.core.loc.nll as nll
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import pylot.core.loc.hsat as hsat
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from pylot.core.io.phases import add_amplitudes
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from pylot.core.pick.autopick import autopickevent, iteratepicker
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from pylot.core.util.dataprocessing import restitute_data, read_metadata
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from pylot.core.util.structure import DATASTRUCTURE
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from pylot.core.util.version import get_git_version as _getVersionString
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@ -54,6 +55,7 @@ def autoPyLoT(inputfile):
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data = Data()
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evt = None
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# getting information on data structure
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if parameter.hasParam('datastructure'):
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@ -97,139 +99,25 @@ def autoPyLoT(inputfile):
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print("!!No source parameter estimation possible!!")
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print(" !!! ")
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# multiple event processing
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# read each event in database
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datapath = datastructure.expandDataPath()
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if not parameter.hasParam('eventID'):
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for event in [events for events in glob.glob(os.path.join(datapath, '*')) if os.path.isdir(events)]:
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data.setWFData(glob.glob(os.path.join(datapath, event, '*')))
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print('Working on event %s' % event)
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print(data)
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wfdat = data.getWFData() # all available streams
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##########################################################
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# !automated picking starts here!
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picks = autopickevent(wfdat, parameter)
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finalpicks = picks
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##########################################################
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# locating
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if locflag == 1:
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# write phases to NLLoc-phase file
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nll.export(picks, phasefile)
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# For locating the event the NLLoc-control file has to be modified!
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evID = event[string.rfind(event, "/") + 1: len(events) - 1]
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nllocout = '%s_%s' % (evID, nllocoutpatter)
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# create comment line for NLLoc-control file
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nll.modify_inputs(ctrf, nllocroot, nllocout, phasef,
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ttpat)
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# locate the event
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nll.locate(ctrfile)
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# !iterative picking if traces remained unpicked or occupied with bad picks!
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# get theoretical onset times for picks with weights >= 4
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# in order to reprocess them using smaller time windows around theoretical onset
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# get stations with bad onsets
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badpicks = []
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for key in picks:
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if picks[key]['P']['weight'] >= 4 or picks[key]['S']['weight'] >= 4:
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badpicks.append([key, picks[key]['P']['mpp']])
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if len(badpicks) == 0:
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print("autoPyLoT: No bad onsets found, thus no iterative picking necessary!")
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# get NLLoc-location file
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locsearch = '%s/loc/%s.????????.??????.grid?.loc.hyp' % (nllocroot, nllocout)
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if len(glob.glob(locsearch)) > 0:
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# get latest NLLoc-location file if several are available
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nllocfile = max(glob.glob(locsearch), key=os.path.getctime)
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# calculating seismic moment Mo and moment magnitude Mw
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finalpicks = MomentMagnitude(wfdat, None, None, parameter.get('iplot'), \
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nllocfile, picks, parameter.get('rho'), \
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parameter.get('vp'), parameter.get('Qp'), \
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parameter.get('invdir'))
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else:
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print("autoPyLoT: No NLLoc-location file available!")
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print("No source parameter estimation possible!")
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else:
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# get theoretical P-onset times from NLLoc-location file
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locsearch = '%s/loc/%s.????????.??????.grid?.loc.hyp' % (nllocroot, nllocout)
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if len(glob.glob(locsearch)) > 0:
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# get latest file if several are available
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nllocfile = max(glob.glob(locsearch), key=os.path.getctime)
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nlloccounter = 0
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while len(badpicks) > 0 and nlloccounter <= maxnumit:
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nlloccounter += 1
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if nlloccounter > maxnumit:
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print("autoPyLoT: Number of maximum iterations reached, stop iterative picking!")
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break
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print("autoPyLoT: Starting with iteration No. %d ..." % nlloccounter)
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picks = iteratepicker(wfdat, nllocfile, picks, badpicks, parameter)
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# write phases to NLLoc-phase file
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nll.export(picks, phasefile)
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# remove actual NLLoc-location file to keep only the last
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os.remove(nllocfile)
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# locate the event
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nll.locate(ctrfile)
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print("autoPyLoT: Iteration No. %d finished." % nlloccounter)
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# get updated NLLoc-location file
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nllocfile = max(glob.glob(locsearch), key=os.path.getctime)
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# check for bad picks
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badpicks = []
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for key in picks:
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if picks[key]['P']['weight'] >= 4 or picks[key]['S']['weight'] >= 4:
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badpicks.append([key, picks[key]['P']['mpp']])
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print("autoPyLoT: After iteration No. %d: %d bad onsets found ..." % (nlloccounter, \
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len(badpicks)))
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if len(badpicks) == 0:
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print("autoPyLoT: No more bad onsets found, stop iterative picking!")
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nlloccounter = maxnumit
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# calculating seismic moment Mo and moment magnitude Mw
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finalpicks = MomentMagnitude(wfdat, None, None, parameter.get('iplot'), \
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nllocfile, picks, parameter.get('rho'), \
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parameter.get('vp'), parameter.get('Qp'), \
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parameter.get('invdir'))
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# get network moment magntiude
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netMw = []
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for key in finalpicks.getpicdic():
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if finalpicks.getpicdic()[key]['P']['Mw'] is not None:
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netMw.append(finalpicks.getpicdic()[key]['P']['Mw'])
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netMw = np.median(netMw)
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print("Network moment magnitude: %4.1f" % netMw)
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else:
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print("autoPyLoT: No NLLoc-location file available! Stop iteration!")
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##########################################################
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# write phase files for various location routines
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# HYPO71
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hypo71file = '%s/autoPyLoT_HYPO71.pha' % event
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if hasattr(finalpicks, 'getpicdic') and finalpicks.getpicdic() is not None:
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hsat.export(finalpicks.getpicdic(), hypo71file)
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data.applyEVTData(finalpicks.getpicdic())
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else:
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hsat.export(picks, hypo71file)
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data.applyEVTData(picks)
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fnqml = '%s/autoPyLoT' % event
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data.exportEvent(fnqml)
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endsplash = '''------------------------------------------\n'
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-----Finished event %s!-----\n'
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------------------------------------------'''.format \
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(version=_getVersionString()) % evID
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print(endsplash)
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if locflag == 0:
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print("autoPyLoT was running in non-location mode!")
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# single event processing
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# multiple event processing
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# read each event in database
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events = [events for events in glob.glob(os.path.join(datapath, '*')) if os.path.isdir(events)]
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else:
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data.setWFData(glob.glob(os.path.join(datapath, parameter.get('eventID'), '*')))
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print("Working on event {0}".format(parameter.get('eventID')))
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# single event processing
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events = glob.glob(os.path.join(datapath, parameter.get('eventID')))
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for event in events:
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data.setWFData(glob.glob(os.path.join(datapath, event, '*')))
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evID = os.path.split(event)[-1]
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print('Working on event %s' % event)
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print(data)
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wfdat = data.getWFData() # all available streams
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metadata = read_metadata(parameter.get('invdir'))
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corr_dat, rest_flag = restitute_data(wfdat.copy(), *metadata)
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##########################################################
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# !automated picking starts here!
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picks = autopickevent(wfdat, parameter)
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finalpicks = picks
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##########################################################
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# locating
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if locflag == 1:
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@ -237,12 +125,14 @@ def autoPyLoT(inputfile):
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nll.export(picks, phasefile)
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# For locating the event the NLLoc-control file has to be modified!
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nllocout = '%s_%s' % (parameter.get('eventID'), nllocoutpatter)
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nllocout = '%s_%s' % (evID, nllocoutpatter)
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# create comment line for NLLoc-control file
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nll.modify_inputs(ctrf, nllocroot, nllocout, phasef, ttpat)
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nll.modify_inputs(ctrf, nllocroot, nllocout, phasef,
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ttpat)
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# locate the event
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nll.locate(ctrfile)
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# !iterative picking if traces remained unpicked or occupied with bad picks!
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# get theoretical onset times for picks with weights >= 4
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# in order to reprocess them using smaller time windows around theoretical onset
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@ -252,18 +142,28 @@ def autoPyLoT(inputfile):
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if picks[key]['P']['weight'] >= 4 or picks[key]['S']['weight'] >= 4:
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badpicks.append([key, picks[key]['P']['mpp']])
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# TODO keep code DRY (Don't Repeat Yourself) the following part is written twice
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# suggestion: delete block and modify the later similar block to work properly
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if len(badpicks) == 0:
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print("autoPyLoT: No bad onsets found, thus no iterative picking necessary!")
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# get NLLoc-location file
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locsearch = '%s/loc/%s.????????.??????.grid?.loc.hyp' % (nllocroot, nllocout)
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if len(glob.glob(locsearch)) > 0:
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# get latest NLLOc-location file if several are available
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# get latest NLLoc-location file if several are available
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nllocfile = max(glob.glob(locsearch), key=os.path.getctime)
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evt = read_events(nllocfile)
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# calculating seismic moment Mo and moment magnitude Mw
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finalpicks = MomentMagnitude(wfdat, None, None, parameter.get('iplot'), \
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nllocfile, picks, parameter.get('rho'), \
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parameter.get('vp'), parameter.get('Qp'), \
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parameter.get('invdir'))
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moment_mag = MomentMagnitude(corr_dat, evt, parameter.get('vp'),
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parameter.get('Qp'), parameter.get('rho'), True, 2)
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local_mag = RichterMagnitude(corr_dat, evt, parameter.get('sstop'), True, 2)
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for station, amplitude in local_mag.amplitudes:
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picks[station]['S']['Ao'] = amplitude
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evt = add_amplitudes(evt, local_mag.amplitudes)
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netML = local_mag.net_magnitude()
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netMw = moment_mag.net_magnitude()
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evt.origins[0].magnitudes.append(netMw)
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evt.origins[0].magnitudes.append(netML)
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else:
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print("autoPyLoT: No NLLoc-location file available!")
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print("No source parameter estimation possible!")
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@ -300,38 +200,37 @@ def autoPyLoT(inputfile):
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if len(badpicks) == 0:
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print("autoPyLoT: No more bad onsets found, stop iterative picking!")
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nlloccounter = maxnumit
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evt = read_events(nllocfile)
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# calculating seismic moment Mo and moment magnitude Mw
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finalpicks = MomentMagnitude(wfdat, None, None, parameter.get('iplot'), \
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nllocfile, picks, parameter.get('rho'), \
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parameter.get('vp'), parameter.get('Qp'), \
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parameter.get('invdir'))
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moment_mag = MomentMagnitude(corr_dat, evt, parameter.get('vp'),
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parameter.get('Qp'), parameter.get('rho'), True, 2)
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local_mag = RichterMagnitude(corr_dat, evt, parameter.get('sstop'), True, 2)
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for station, amplitude in local_mag.amplitudes:
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picks[station]['S']['Ao'] = amplitude
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evt = add_amplitudes(evt, local_mag.amplitudes)
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netML = local_mag.net_magnitude()
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# get network moment magntiude
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netMw = []
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for key in finalpicks.getpicdic():
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if finalpicks.getpicdic()[key]['P']['Mw'] is not None:
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netMw.append(finalpicks.getpicdic()[key]['P']['Mw'])
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netMw = np.median(netMw)
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print("Network moment magnitude: %4.1f" % netMw)
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netMw = moment_mag.net_magnitude()
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evt.origins[0].magnitudes.append(netMw)
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evt.origins[0].magnitudes.append(netML)
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print("Network moment magnitude: %4.1f" % netMw.mag)
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else:
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print("autoPyLoT: No NLLoc-location file available! Stop iteration!")
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##########################################################
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# write phase files for various location routines
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# HYPO71
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hypo71file = '%s/%s/autoPyLoT_HYPO71.pha' % (datapath, parameter.get('eventID'))
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if hasattr(finalpicks, 'getpicdic') and finalpicks.getpicdic() is not None:
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hsat.export(finalpicks.getpicdic(), hypo71file)
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data.applyEVTData(finalpicks.getpicdic())
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else:
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hsat.export(picks, hypo71file)
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data.applyEVTData(picks)
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fnqml = '%s/%s/autoPyLoT' % (datapath, parameter.get('eventID'))
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hypo71file = '%s/autoPyLoT_HYPO71.pha' % event
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hsat.export(picks, hypo71file)
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data.applyEVTData(picks)
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if evt is not None:
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data.applyEVTData(evt, 'event')
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fnqml = '%s/autoPyLoT' % event
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data.exportEvent(fnqml)
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endsplash = '''------------------------------------------\n'
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-----Finished event %s!-----\n'
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------------------------------------------'''.format \
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(version=_getVersionString()) % parameter.get('eventID')
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(version=_getVersionString()) % evID
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print(endsplash)
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if locflag == 0:
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print("autoPyLoT was running in non-location mode!")
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