further development on the reassessment routines for PILOT data
This commit is contained in:
parent
ec42e1bd15
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210d39882d
@ -43,7 +43,7 @@ from obspy import UTCDateTime
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from pylot.core.io.data import Data
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from pylot.core.io.inputs import FilterOptions, AutoPickParameter
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from pylot.core.pick.autopick import autopickevent
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from pylot.core.io.phases import picks_from_evt
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from pylot.core.io.phases import picks_to_dict
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from pylot.core.loc.nll import locate as locateNll
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from pylot.core.util.defaults import FILTERDEFAULTS, COMPNAME_MAP,\
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AUTOMATIC_DEFAULTS
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@ -735,7 +735,7 @@ class MainWindow(QMainWindow):
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return rval
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def updatePicks(self, type='manual'):
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picks = picks_from_evt(evt=self.getData().getEvtData())
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picks = picks_to_dict(evt=self.getData().getEvtData())
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if type == 'manual':
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self.picks.update(picks)
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elif type == 'auto':
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66
autoPyLoT.py
66
autoPyLoT.py
@ -55,15 +55,15 @@ def autoPyLoT(inputfile):
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# getting information on data structure
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if parameter.hasParam('datastructure'):
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datastructure = DATASTRUCTURE[parameter.getParam('datastructure')]()
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dsfields = {'root': parameter.getParam('rootpath'),
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'dpath': parameter.getParam('datapath'),
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'dbase': parameter.getParam('database')}
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datastructure = DATASTRUCTURE[parameter.get('datastructure')]()
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dsfields = {'root': parameter.get('rootpath'),
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'dpath': parameter.get('datapath'),
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'dbase': parameter.get('database')}
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exf = ['root', 'dpath', 'dbase']
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if parameter.hasParam('eventID'):
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dsfields['eventID'] = parameter.getParam('eventID')
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dsfields['eventID'] = parameter.get('eventID')
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exf.append('eventID')
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datastructure.modifyFields(**dsfields)
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@ -73,20 +73,20 @@ def autoPyLoT(inputfile):
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if parameter.hasParam('nllocbin'):
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locflag = 1
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# get NLLoc-root path
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nllocroot = parameter.getParam('nllocroot')
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nllocroot = parameter.get('nllocroot')
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# get path to NLLoc executable
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nllocbin = parameter.getParam('nllocbin')
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nllocbin = parameter.get('nllocbin')
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nlloccall = '%s/NLLoc' % nllocbin
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# get name of phase file
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phasef = parameter.getParam('phasefile')
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phasef = parameter.get('phasefile')
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phasefile = '%s/obs/%s' % (nllocroot, phasef)
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# get name of NLLoc-control file
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ctrf = parameter.getParam('ctrfile')
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ctrf = parameter.get('ctrfile')
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ctrfile = '%s/run/%s' % (nllocroot, ctrf)
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# pattern of NLLoc ttimes from location grid
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ttpat = parameter.getParam('ttpatter')
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ttpat = parameter.get('ttpatter')
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# pattern of NLLoc-output file
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nllocoutpatter = parameter.getParam('outpatter')
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nllocoutpatter = parameter.get('outpatter')
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maxnumit = 3 # maximum number of iterations for re-picking
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else:
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locflag = 0
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@ -140,10 +140,10 @@ def autoPyLoT(inputfile):
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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 = M0Mw(wfdat, None, None, parameter.getParam('iplot'), \
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nllocfile, picks, parameter.getParam('rho'), \
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parameter.getParam('vp'), parameter.getParam('Qp'), \
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parameter.getParam('invdir'))
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finalpicks = M0Mw(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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@ -182,10 +182,10 @@ def autoPyLoT(inputfile):
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nlloccounter = maxnumit
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# calculating seismic moment Mo and moment magnitude Mw
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finalpicks = M0Mw(wfdat, None, None, parameter.getParam('iplot'), \
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nllocfile, picks, parameter.getParam('rho'), \
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parameter.getParam('vp'), parameter.getParam('Qp'), \
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parameter.getParam('invdir'))
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finalpicks = M0Mw(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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@ -222,8 +222,8 @@ def autoPyLoT(inputfile):
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# single event processing
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else:
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data.setWFData(glob.glob(os.path.join(datapath, parameter.getParam('eventID'), '*')))
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print("Working on event {0}".format(parameter.getParam('eventID')))
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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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print(data)
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wfdat = data.getWFData() # all available streams
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@ -238,7 +238,7 @@ def autoPyLoT(inputfile):
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picksExport(picks, 'NLLoc', 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.getParam('eventID'), nllocoutpatter)
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nllocout = '%s_%s' % (parameter.get('eventID'), nllocoutpatter)
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# create comment line for NLLoc-control file
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modifyInputFile(ctrf, nllocroot, nllocout, phasef, ttpat)
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@ -261,10 +261,10 @@ def autoPyLoT(inputfile):
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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 = M0Mw(wfdat, None, None, parameter.getParam('iplot'), \
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nllocfile, picks, parameter.getParam('rho'), \
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parameter.getParam('vp'), parameter.getParam('Qp'), \
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parameter.getParam('invdir'))
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finalpicks = M0Mw(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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@ -303,10 +303,10 @@ def autoPyLoT(inputfile):
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nlloccounter = maxnumit
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# calculating seismic moment Mo and moment magnitude Mw
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finalpicks = M0Mw(wfdat, None, None, parameter.getParam('iplot'), \
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nllocfile, picks, parameter.getParam('rho'), \
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parameter.getParam('vp'), parameter.getParam('Qp'), \
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parameter.getParam('invdir'))
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finalpicks = M0Mw(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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@ -319,7 +319,7 @@ def autoPyLoT(inputfile):
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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.getParam('eventID'))
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hypo71file = '%s/%s/autoPyLoT_HYPO71.pha' % (datapath, parameter.get('eventID'))
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if hasattr(finalpicks, 'getpicdic'):
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if finalpicks.getpicdic() is not None:
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writephases(finalpicks.getpicdic(), 'HYPO71', hypo71file)
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@ -330,13 +330,13 @@ def autoPyLoT(inputfile):
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else:
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writephases(picks, 'HYPO71', hypo71file)
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data.applyEVTData(picks)
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fnqml = '%s/%s/autoPyLoT' % (datapath, parameter.getParam('eventID'))
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fnqml = '%s/%s/autoPyLoT' % (datapath, parameter.get('eventID'))
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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.getParam('eventID')
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(version=_getVersionString()) % parameter.get('eventID')
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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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@ -3,13 +3,13 @@
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import os
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import glob
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import warnings
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from obspy.io.xseed import Parser
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from obspy.core import read, Stream, UTCDateTime
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from obspy import read_events, read_inventory
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from obspy.core.event import Event, ResourceIdentifier, Pick, WaveformStreamID
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from pylot.core.io.phases import readPILOTEvent
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from pylot.core.io.phases import readPILOTEvent, picks_from_dict
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from pylot.core.util.utils import fnConstructor, getGlobalTimes
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from pylot.core.util.errors import FormatError, OverwriteError
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@ -414,35 +414,8 @@ class Data(object):
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firstonset = None
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if self.getEvtData().picks:
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raise OverwriteError('Actual picks would be overwritten!')
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for station, onsets in picks.items():
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print('Reading picks on station %s' % station)
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for label, phase in onsets.items():
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if not isinstance(phase, dict):
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continue
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onset = phase['mpp']
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epp = phase['epp']
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lpp = phase['lpp']
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error = phase['spe']
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try:
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picker = phase['picker']
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except KeyError as e:
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warnings.warn(str(e), Warning)
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picker = 'Unknown'
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pick = Pick()
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pick.time = onset
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pick.time_errors.lower_uncertainty = onset - epp
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pick.time_errors.upper_uncertainty = lpp - onset
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pick.time_errors.uncertainty = error
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pick.phase_hint = label
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pick.method_id = ResourceIdentifier(id=picker)
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pick.waveform_id = WaveformStreamID(station_code=station)
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self.getEvtData().picks.append(pick)
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try:
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polarity = phase['fm']
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except KeyError as e:
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print('No polarity information found for %s' % phase)
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if firstonset is None or firstonset > onset:
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firstonset = onset
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picks, firstonset = picks_from_dict(picks)
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self.getEvtData().picks = picks
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if 'smi:local' in self.getID() and firstonset:
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fonset_str = firstonset.strftime('%Y_%m_%d_%H_%M_%S')
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@ -501,7 +474,7 @@ class GenericDataStructure(object):
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if not self.extraAllowed():
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kwargs = self.updateNotAllowed(kwargs)
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for key, value in kwargs.iteritems():
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for key, value in kwargs.items():
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key = str(key).lower()
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if value is not None:
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if type(value) not in (str, int, float):
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@ -131,7 +131,7 @@ class AutoPickParameter(object):
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return True
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return False
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def getParam(self, *args):
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def get(self, *args):
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try:
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for param in args:
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try:
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@ -2,7 +2,8 @@
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# -*- coding: utf-8 -*-
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import os
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import glob
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import warnings
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import scipy.io as sio
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import obspy.core.event as ope
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from obspy.core import UTCDateTime
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@ -173,7 +174,7 @@ def convert_pilot_times(time_array):
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return UTCDateTime(*times)
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def picks_from_obs(fn):
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def picksdict_from_obs(fn):
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picks = dict()
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station_name = str()
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for line in open(fn, 'r'):
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@ -191,7 +192,7 @@ def picks_from_obs(fn):
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return picks
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def picks_from_evt(evt):
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def picks_to_dict(evt):
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'''
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Takes an Event object and return the pick dictionary commonly used within
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PyLoT
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@ -228,6 +229,82 @@ def picks_from_evt(evt):
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picks[station] = onsets.copy()
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return picks
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def picks_from_dict(picks):
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firstonset = None
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for station, onsets in picks.items():
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print('Reading picks on station %s' % station)
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for label, phase in onsets.items():
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if not isinstance(phase, dict):
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continue
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onset = phase['mpp']
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epp = phase['epp']
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lpp = phase['lpp']
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error = phase['spe']
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try:
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picker = phase['picker']
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except KeyError as e:
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warnings.warn(str(e), Warning)
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picker = 'Unknown'
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pick = ope.Pick()
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pick.time = onset
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pick.time_errors.lower_uncertainty = onset - epp
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pick.time_errors.upper_uncertainty = lpp - onset
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pick.time_errors.uncertainty = error
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pick.phase_hint = label
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pick.method_id = ope.ResourceIdentifier(id=picker)
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pick.waveform_id = ope.WaveformStreamID(station_code=station)
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try:
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polarity = phase['fm']
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if polarity == 'U' or '+':
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pick.polarity = 'positive'
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elif polarity == 'D' or '-':
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pick.polarity = 'negative'
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else:
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pick.polarity = 'undecidable'
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except KeyError as e:
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print('No polarity information found for %s' % phase)
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if firstonset is None or firstonset > onset:
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firstonset = onset
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def reassess_pilot_event(root_dir, event_id):
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from obspy import read
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from pylot.core.util.defaults import AUTOMATIC_DEFAULTS
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from pylot.core.io.inputs import AutoPickParameter
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from pylot.core.pick.utils import earllatepicker
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default = AutoPickParameter(AUTOMATIC_DEFAULTS)
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search_base = os.path.join(root_dir, event_id)
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phases_file = glob.glob(os.path.join(search_base, 'PHASES.mat'))
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picks_dict = picks_from_pilot(phases_file)
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for station in picks_dict.keys():
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fn_pattern = os.path.join(search_base, '{0}*'.format(station))
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try:
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st = read(fn_pattern)
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except TypeError as e:
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print(e.message)
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st = read(fn_pattern, format='GSE2')
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if not st:
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raise RuntimeError('no waveform data found for station {station}'.format(station=station))
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for phase in picks_dict[station].keys():
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try:
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mpp = picks_dict[station][phase]['mpp']
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except KeyError as e:
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print(e.message, station)
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continue
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epp, lpp, spe = earllatepicker(st,
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default.get('nfac{0}'.format(phase)),
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default.get('tsnrz' if phase == 'P' else 'tsnrh'),
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mpp
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)
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picks_dict[station][phase] = dict(epp=epp, mpp=mpp, lpp=lpp, spe=spe)
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# create Event object for export
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evt = ope.Event(resource_id=event_id)
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evt.picks = picks_from_dict(picks_dict)
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# write phase information to file
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evt.write('{0}.xml'.format(event_id), format='QUAKEML')
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def writephases(arrivals, fformat, filename):
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'''
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@ -28,9 +28,9 @@ def autopickevent(data, param):
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# get some parameters for quality control from
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# parameter input file (usually autoPyLoT.in).
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wdttolerance = param.getParam('wdttolerance')
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mdttolerance = param.getParam('mdttolerance')
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iplot = param.getParam('iplot')
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wdttolerance = param.get('wdttolerance')
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mdttolerance = param.get('mdttolerance')
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iplot = param.get('iplot')
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for n in range(len(data)):
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station = data[n].stats.station
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if station not in stations:
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@ -66,60 +66,60 @@ def autopickstation(wfstream, pickparam, verbose=False):
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# read your autoPyLoT.in for details!
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# special parameters for P picking
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algoP = pickparam.getParam('algoP')
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iplot = pickparam.getParam('iplot')
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pstart = pickparam.getParam('pstart')
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pstop = pickparam.getParam('pstop')
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thosmw = pickparam.getParam('tlta')
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tsnrz = pickparam.getParam('tsnrz')
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hosorder = pickparam.getParam('hosorder')
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bpz1 = pickparam.getParam('bpz1')
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bpz2 = pickparam.getParam('bpz2')
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pickwinP = pickparam.getParam('pickwinP')
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tsmoothP = pickparam.getParam('tsmoothP')
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ausP = pickparam.getParam('ausP')
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nfacP = pickparam.getParam('nfacP')
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tpred1z = pickparam.getParam('tpred1z')
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tdet1z = pickparam.getParam('tdet1z')
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Parorder = pickparam.getParam('Parorder')
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addnoise = pickparam.getParam('addnoise')
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Precalcwin = pickparam.getParam('Precalcwin')
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minAICPslope = pickparam.getParam('minAICPslope')
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minAICPSNR = pickparam.getParam('minAICPSNR')
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timeerrorsP = pickparam.getParam('timeerrorsP')
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algoP = pickparam.get('algoP')
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iplot = pickparam.get('iplot')
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pstart = pickparam.get('pstart')
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pstop = pickparam.get('pstop')
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thosmw = pickparam.get('tlta')
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tsnrz = pickparam.get('tsnrz')
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hosorder = pickparam.get('hosorder')
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bpz1 = pickparam.get('bpz1')
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bpz2 = pickparam.get('bpz2')
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pickwinP = pickparam.get('pickwinP')
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tsmoothP = pickparam.get('tsmoothP')
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ausP = pickparam.get('ausP')
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nfacP = pickparam.get('nfacP')
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tpred1z = pickparam.get('tpred1z')
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tdet1z = pickparam.get('tdet1z')
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Parorder = pickparam.get('Parorder')
|
||||
addnoise = pickparam.get('addnoise')
|
||||
Precalcwin = pickparam.get('Precalcwin')
|
||||
minAICPslope = pickparam.get('minAICPslope')
|
||||
minAICPSNR = pickparam.get('minAICPSNR')
|
||||
timeerrorsP = pickparam.get('timeerrorsP')
|
||||
# special parameters for S picking
|
||||
algoS = pickparam.getParam('algoS')
|
||||
sstart = pickparam.getParam('sstart')
|
||||
sstop = pickparam.getParam('sstop')
|
||||
bph1 = pickparam.getParam('bph1')
|
||||
bph2 = pickparam.getParam('bph2')
|
||||
tsnrh = pickparam.getParam('tsnrh')
|
||||
pickwinS = pickparam.getParam('pickwinS')
|
||||
tpred1h = pickparam.getParam('tpred1h')
|
||||
tdet1h = pickparam.getParam('tdet1h')
|
||||
tpred2h = pickparam.getParam('tpred2h')
|
||||
tdet2h = pickparam.getParam('tdet2h')
|
||||
Sarorder = pickparam.getParam('Sarorder')
|
||||
aictsmoothS = pickparam.getParam('aictsmoothS')
|
||||
tsmoothS = pickparam.getParam('tsmoothS')
|
||||
ausS = pickparam.getParam('ausS')
|
||||
minAICSslope = pickparam.getParam('minAICSslope')
|
||||
minAICSSNR = pickparam.getParam('minAICSSNR')
|
||||
Srecalcwin = pickparam.getParam('Srecalcwin')
|
||||
nfacS = pickparam.getParam('nfacS')
|
||||
timeerrorsS = pickparam.getParam('timeerrorsS')
|
||||
algoS = pickparam.get('algoS')
|
||||
sstart = pickparam.get('sstart')
|
||||
sstop = pickparam.get('sstop')
|
||||
bph1 = pickparam.get('bph1')
|
||||
bph2 = pickparam.get('bph2')
|
||||
tsnrh = pickparam.get('tsnrh')
|
||||
pickwinS = pickparam.get('pickwinS')
|
||||
tpred1h = pickparam.get('tpred1h')
|
||||
tdet1h = pickparam.get('tdet1h')
|
||||
tpred2h = pickparam.get('tpred2h')
|
||||
tdet2h = pickparam.get('tdet2h')
|
||||
Sarorder = pickparam.get('Sarorder')
|
||||
aictsmoothS = pickparam.get('aictsmoothS')
|
||||
tsmoothS = pickparam.get('tsmoothS')
|
||||
ausS = pickparam.get('ausS')
|
||||
minAICSslope = pickparam.get('minAICSslope')
|
||||
minAICSSNR = pickparam.get('minAICSSNR')
|
||||
Srecalcwin = pickparam.get('Srecalcwin')
|
||||
nfacS = pickparam.get('nfacS')
|
||||
timeerrorsS = pickparam.get('timeerrorsS')
|
||||
# parameters for first-motion determination
|
||||
minFMSNR = pickparam.getParam('minFMSNR')
|
||||
fmpickwin = pickparam.getParam('fmpickwin')
|
||||
minfmweight = pickparam.getParam('minfmweight')
|
||||
minFMSNR = pickparam.get('minFMSNR')
|
||||
fmpickwin = pickparam.get('fmpickwin')
|
||||
minfmweight = pickparam.get('minfmweight')
|
||||
# parameters for checking signal length
|
||||
minsiglength = pickparam.getParam('minsiglength')
|
||||
minpercent = pickparam.getParam('minpercent')
|
||||
nfacsl = pickparam.getParam('noisefactor')
|
||||
minsiglength = pickparam.get('minsiglength')
|
||||
minpercent = pickparam.get('minpercent')
|
||||
nfacsl = pickparam.get('noisefactor')
|
||||
# parameter to check for spuriously picked S onset
|
||||
zfac = pickparam.getParam('zfac')
|
||||
zfac = pickparam.get('zfac')
|
||||
# path to inventory-, dataless- or resp-files
|
||||
invdir = pickparam.getParam('invdir')
|
||||
invdir = pickparam.get('invdir')
|
||||
|
||||
# initialize output
|
||||
Pweight = 4 # weight for P onset
|
||||
@ -857,39 +857,39 @@ def iteratepicker(wf, NLLocfile, picks, badpicks, pickparameter):
|
||||
wf2pick = wf.select(station=badpicks[i][0])
|
||||
|
||||
# modify some picking parameters
|
||||
pstart_old = pickparameter.getParam('pstart')
|
||||
pstop_old = pickparameter.getParam('pstop')
|
||||
sstop_old = pickparameter.getParam('sstop')
|
||||
pickwinP_old = pickparameter.getParam('pickwinP')
|
||||
Precalcwin_old = pickparameter.getParam('Precalcwin')
|
||||
noisefactor_old = pickparameter.getParam('noisefactor')
|
||||
zfac_old = pickparameter.getParam('zfac')
|
||||
pstart_old = pickparameter.get('pstart')
|
||||
pstop_old = pickparameter.get('pstop')
|
||||
sstop_old = pickparameter.get('sstop')
|
||||
pickwinP_old = pickparameter.get('pickwinP')
|
||||
Precalcwin_old = pickparameter.get('Precalcwin')
|
||||
noisefactor_old = pickparameter.get('noisefactor')
|
||||
zfac_old = pickparameter.get('zfac')
|
||||
pickparameter.setParam(
|
||||
pstart=max([0, badpicks[i][1] - wf2pick[0].stats.starttime \
|
||||
- pickparameter.getParam('tlta')]))
|
||||
pickparameter.setParam(pstop=pickparameter.getParam('pstart') + \
|
||||
(3 * pickparameter.getParam('tlta')))
|
||||
pickparameter.setParam(sstop=pickparameter.getParam('sstop') / 2)
|
||||
pickparameter.setParam(pickwinP=pickparameter.getParam('pickwinP') / 2)
|
||||
- pickparameter.get('tlta')]))
|
||||
pickparameter.setParam(pstop=pickparameter.get('pstart') + \
|
||||
(3 * pickparameter.get('tlta')))
|
||||
pickparameter.setParam(sstop=pickparameter.get('sstop') / 2)
|
||||
pickparameter.setParam(pickwinP=pickparameter.get('pickwinP') / 2)
|
||||
pickparameter.setParam(
|
||||
Precalcwin=pickparameter.getParam('Precalcwin') / 2)
|
||||
Precalcwin=pickparameter.get('Precalcwin') / 2)
|
||||
pickparameter.setParam(noisefactor=1.0)
|
||||
pickparameter.setParam(zfac=1.0)
|
||||
print(
|
||||
"iteratepicker: The following picking parameters have been modified for iterative picking:")
|
||||
print(
|
||||
"pstart: %fs => %fs" % (pstart_old, pickparameter.getParam('pstart')))
|
||||
"pstart: %fs => %fs" % (pstart_old, pickparameter.get('pstart')))
|
||||
print(
|
||||
"pstop: %fs => %fs" % (pstop_old, pickparameter.getParam('pstop')))
|
||||
"pstop: %fs => %fs" % (pstop_old, pickparameter.get('pstop')))
|
||||
print(
|
||||
"sstop: %fs => %fs" % (sstop_old, pickparameter.getParam('sstop')))
|
||||
"sstop: %fs => %fs" % (sstop_old, pickparameter.get('sstop')))
|
||||
print("pickwinP: %fs => %fs" % (
|
||||
pickwinP_old, pickparameter.getParam('pickwinP')))
|
||||
pickwinP_old, pickparameter.get('pickwinP')))
|
||||
print("Precalcwin: %fs => %fs" % (
|
||||
Precalcwin_old, pickparameter.getParam('Precalcwin')))
|
||||
Precalcwin_old, pickparameter.get('Precalcwin')))
|
||||
print("noisefactor: %f => %f" % (
|
||||
noisefactor_old, pickparameter.getParam('noisefactor')))
|
||||
print("zfac: %f => %f" % (zfac_old, pickparameter.getParam('zfac')))
|
||||
noisefactor_old, pickparameter.get('noisefactor')))
|
||||
print("zfac: %f => %f" % (zfac_old, pickparameter.get('zfac')))
|
||||
|
||||
# repick station
|
||||
newpicks = autopickstation(wf2pick, pickparameter)
|
||||
|
||||
@ -9,7 +9,7 @@ import matplotlib.pyplot as plt
|
||||
|
||||
from obspy import read_events
|
||||
|
||||
from pylot.core.io.phases import picks_from_evt
|
||||
from pylot.core.io.phases import picks_to_dict
|
||||
from pylot.core.util.pdf import ProbabilityDensityFunction
|
||||
from pylot.core.util.version import get_git_version as _getVersionString
|
||||
|
||||
@ -227,7 +227,7 @@ class PDFDictionary(object):
|
||||
if len(cat) > 1:
|
||||
raise NotImplementedError('reading more than one event at the same '
|
||||
'time is not implemented yet! Sorry!')
|
||||
return PDFDictionary(picks_from_evt(cat[0]))
|
||||
return PDFDictionary(picks_to_dict(cat[0]))
|
||||
|
||||
def pdf_data(self, type='exp'):
|
||||
"""
|
||||
|
||||
@ -3,16 +3,21 @@
|
||||
|
||||
import argparse
|
||||
from pylot.core.util.version import get_git_version as _getVersionString
|
||||
from pylot.core.io.phases import reasses_pilot_event
|
||||
from pylot.core.io.phases import reassess_pilot_event
|
||||
|
||||
__version__ = _getVersionString()
|
||||
__author__ = 'sebastianw'
|
||||
|
||||
def reassess_pilot_event():
|
||||
pass
|
||||
|
||||
if __name__ == '__main__':
|
||||
parser = argparse.ArgumentParser()
|
||||
|
||||
parser.add_argument(
|
||||
'--directory', '-d', type=str, help='specifies the root directory (in '
|
||||
'most cases PILOT database folder)'
|
||||
)
|
||||
parser.add_argument(
|
||||
'--eventid', '-i', type=str, help='PILOT event identifier'
|
||||
)
|
||||
|
||||
args = parser.parse_args()
|
||||
reasses_pilot_event(args.id)
|
||||
reassess_pilot_event(args.dir, args.id)
|
||||
|
||||
3
setup.py
3
setup.py
@ -1,3 +1,5 @@
|
||||
#!/usr/bin/env python
|
||||
# -*- coding: utf-8 -*-
|
||||
from distutils.core import setup
|
||||
|
||||
setup(
|
||||
@ -6,6 +8,7 @@ setup(
|
||||
packages=['pylot', 'pylot.core', 'pylot.core.loc', 'pylot.core.pick',
|
||||
'pylot.core.io', 'pylot.core.util', 'pylot.core.active',
|
||||
'pylot.core.analysis', 'pylot.testing'],
|
||||
requires=['obspy', 'PySide'],
|
||||
url='dummy',
|
||||
license='LGPLv3',
|
||||
author='Sebastian Wehling-Benatelli',
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user