Flexible calculation of local magnitude including station magntiude scaling as well as network magnitude scaling.
auoPyLot-output-file names have prefix event ID.
This commit is contained in:
Ludger Küperkoch
parent
8e8b3e0462
commit
71876638c8
38
autoPyLoT.py
38
autoPyLoT.py
@ -18,7 +18,7 @@ import pylot.core.loc.nll as nll
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#from PySide.QtGui import QWidget, QInputDialog
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from pylot.core.analysis.magnitude import MomentMagnitude, LocalMagnitude
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from pylot.core.io.data import Data
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from pylot.core.io.inputs import PylotParameter
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from pylot.core.io.inputs import AutoPickParameter
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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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remove_underscores
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@ -35,7 +35,7 @@ def autoPyLoT(input_dict=None, parameter=None, inputfile=None, fnames=None, even
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:param inputfile: path to the input file containing all parameter
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information for automatic picking (for formatting details, see.
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`~pylot.core.io.inputs.PylotParameter`
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`~pylot.core.io.inputs.AutoPickParameter`
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:type inputfile: str
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:return:
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@ -71,13 +71,13 @@ def autoPyLoT(input_dict=None, parameter=None, inputfile=None, fnames=None, even
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if not parameter:
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if inputfile:
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parameter = PylotParameter(inputfile)
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parameter = AutoPickParameter(inputfile)
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iplot = parameter['iplot']
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else:
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print('No parameters set and no input file given. Choose either of both.')
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return
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else:
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if not type(parameter) == PylotParameter:
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if not type(parameter) == AutoPickParameter:
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print('Wrong input type for parameter: {}'.format(type(parameter)))
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return
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if inputfile:
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@ -252,12 +252,17 @@ def autoPyLoT(input_dict=None, parameter=None, inputfile=None, fnames=None, even
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for station, props in moment_mag.moment_props.items():
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picks[station]['P'].update(props)
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evt = moment_mag.updated_event()
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net_mw = moment_mag.net_magnitude()
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print("Network moment magnitude: %4.1f" % net_mw.mag)
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# calculate local (Richter) magntiude
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local_mag = LocalMagnitude(corr_dat, evt,
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parameter.get('sstop'), parameter.get('WAscaling'), \
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True, iplot)
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for station, amplitude in local_mag.amplitudes.items():
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picks[station]['S']['Ao'] = amplitude.generic_amplitude
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evt = local_mag.updated_event()
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evt = local_mag.updated_event(parameter.get('magscaling'))
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net_ml = local_mag.net_magnitude()
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print("Network local magnitude: %4.1f" % net_ml.mag)
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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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@ -310,14 +315,17 @@ def autoPyLoT(input_dict=None, parameter=None, inputfile=None, fnames=None, even
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for station, props in moment_mag.moment_props.items():
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picks[station]['P'].update(props)
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evt = moment_mag.updated_event()
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net_mw = moment_mag.net_magnitude()
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print("Network moment magnitude: %4.1f" % net_mw.mag)
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# calculate local (Richter) magntiude
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local_mag = LocalMagnitude(corr_dat, evt,
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parameter.get('sstop'), parameter.get('WAscaling'), \
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True, iplot)
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for station, amplitude in local_mag.amplitudes.items():
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picks[station]['S']['Ao'] = amplitude.generic_amplitude
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evt = local_mag.updated_event()
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net_mw = moment_mag.net_magnitude()
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print("Network moment magnitude: %4.1f" % net_mw.mag)
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evt = local_mag.updated_event(parameter.get('magscaling'))
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net_ml = local_mag.net_magnitude(parameter.get('magscaling'))
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print("Network local magnitude: %4.1f" % net_ml.mag)
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else:
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print("autoPyLoT: No NLLoc-location file available! Stop iteration!")
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locflag = 9
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@ -328,26 +336,26 @@ def autoPyLoT(input_dict=None, parameter=None, inputfile=None, fnames=None, even
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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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fnqml = '%s/picks_%s' % (event, evID)
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data.exportEvent(fnqml)
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# HYPO71
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hypo71file = '%s/autoPyLoT_HYPO71_phases' % event
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hypo71file = '%s/%s_HYPO71_phases' % (event, evID)
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hypo71.export(picks, hypo71file, parameter)
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# HYPOSAT
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hyposatfile = '%s/autoPyLoT_HYPOSAT_phases' % event
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hyposatfile = '%s/%s_HYPOSAT_phases' % (event, evID)
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hyposat.export(picks, hyposatfile, parameter)
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if locflag == 1:
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# VELEST
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velestfile = '%s/autoPyLoT_VELEST_phases.cnv' % event
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velestfile = '%s/%s_VELEST_phases.cnv' % (event, evID)
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velest.export(picks, velestfile, parameter, evt)
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# hypoDD
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hypoddfile = '%s/autoPyLoT_hypoDD_phases.pha' % event
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hypoddfile = '%s/%s_hypoDD_phases.pha' % (event, evID)
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hypodd.export(picks, hypoddfile, parameter, evt)
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# FOCMEC
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focmecfile = '%s/autoPyLoT_FOCMEC.in' % event
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focmecfile = '%s/%s_FOCMEC.in' % (event, evID)
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focmec.export(picks, focmecfile, parameter, evt)
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# HASH
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hashfile = '%s/autoPyLoT_HASH' % event
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hashfile = '%s/%s_HASH' % (event, evID)
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hash.export(picks, hashfile, parameter, evt)
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endsplash = '''------------------------------------------\n'
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@ -1 +1 @@
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f91e1-dirty
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8e8b-dirty
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@ -2,6 +2,7 @@
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# -*- coding: utf-8 -*-
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"""
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Created autumn/winter 2015.
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Revised/extended summer 2017.
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:author: Ludger Küperkoch / MAGS2 EP3 working group
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"""
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@ -115,17 +116,24 @@ class Magnitude(object):
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def calc(self):
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pass
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def updated_event(self):
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self.event.magnitudes.append(self.net_magnitude())
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def updated_event(self, magscaling=None):
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self.event.magnitudes.append(self.net_magnitude(magscaling))
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return self.event
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def net_magnitude(self):
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def net_magnitude(self, magscaling=None):
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if self:
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# TODO if an average Magnitude instead of the median is calculated
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# StationMagnitudeContributions should be added to the returned
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# Magnitude object
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# mag_error => weights (magnitude error estimate from peak_to_peak, calcsourcespec?)
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# weights => StationMagnitdeContribution
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if magscaling is not None and str(magscaling) is not '[0.0, 0.0]':
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# scaling necessary
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print("Scaling network magnitude ...")
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mag = ope.Magnitude(
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mag=np.median([M.mag for M in self.magnitudes.values()]) *\
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magscaling[0] + magscaling[1],
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magnitude_type=self.type,
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origin_id=self.origin_id,
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station_count=len(self.magnitudes),
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azimuthal_gap=self.origin_id.get_referred_object().quality.azimuthal_gap)
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else:
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# no saling necessary
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mag = ope.Magnitude(
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mag=np.median([M.mag for M in self.magnitudes.values()]),
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magnitude_type=self.type,
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@ -153,7 +161,7 @@ class LocalMagnitude(Magnitude):
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_amplitudes = dict()
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def __init__(self, stream, event, calc_win, wascaling=None, verbosity=False, iplot=0):
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def __init__(self, stream, event, calc_win, wascaling, verbosity=False, iplot=0):
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super(LocalMagnitude, self).__init__(stream, event, verbosity, iplot)
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self._calc_win = calc_win
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@ -257,12 +265,13 @@ class LocalMagnitude(Magnitude):
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self.amplitudes = (station, amplitude)
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# using standard Gutenberg-Richter relation
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# or scale WA amplitude with given scaling relation
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if self.wascaling == None:
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if str(self.wascaling) == '[0.0, 0.0, 0.0]':
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print("Calculating original Richter magnitude ...")
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magnitude = ope.StationMagnitude(mag=np.log10(a0) \
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+ richter_magnitude_scaling(delta))
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else:
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print("Calculating scaled local magnitude ...")
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a0 = a0 * 1e03 # mm to nm (see Havskov & Ottemöller, 2010)
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magnitude = ope.StationMagnitude(mag=np.log10(a0) \
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+ self.wascaling[0] * np.log10(delta) + self.wascaling[1]
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* delta + self.wascaling[2])
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@ -278,12 +278,14 @@ defaults = {'rootpath': {'type': str,
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'value': 1.0},
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'WAscaling': {'type': (float, float, float),
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'tooltip': 'Scaling relation (log(Ao)+Alog(r)+Br+C) of Wood-Anderson amplitude Ao [nm]',
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'value': (1.0, 1.0, 1.0)},
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'tooltip': 'Scaling relation (log(Ao)+Alog(r)+Br+C) of Wood-Anderson amplitude Ao [nm] \
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If zeros are set, original Richter magnitude is calculated!',
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'value': (0., 0., 0.)},
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'magscaling': {'type': (float, float),
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'tooltip': 'Scaling relation for derived local magnitude [a*Ml+b]',
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'value': (1.0, 1.0)}
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'tooltip': 'Scaling relation for derived local magnitude [a*Ml+b]. \
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If zeros are set, no scaling is of network magnitude is applied.',
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'value': (0., 0.)}
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}
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settings_main={
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