Пример #1
0
def outputOBSPY(hp, event=None, only_fm_picks=False):
    """
    Make an Event which includes the current focal mechanism information from HASH
    
    Use the 'only_fm_picks' flag to only include the picks HASH used for the FocalMechanism.
    This flag will replace the 'picks' and 'arrivals' lists of existing events with new ones.
    
    Inputs
    -------
    hp    : hashpy.HashPype instance
    
    event : obspy.core.event.Event
    
    only_fm_picks : bool of whether to overwrite the picks/arrivals lists
    
    
    Returns
    -------
    obspy.core.event.Event
    
    Event will be new if no event was input, FocalMech added to existing event
    """
    # Returns new (or updates existing) Event with HASH solution
    n = hp.npol
    if event is None:
	event = Event(focal_mechanisms=[], picks=[], origins=[])
	origin = Origin(arrivals=[])
	origin.time = UTCDateTime(hp.tstamp)
	origin.latitude = hp.qlat
	origin.longitude = hp.qlon
	origin.depth = hp.qdep
	origin.creation_info = CreationInfo(version=hp.icusp)
	origin.resource_id = ResourceIdentifier('smi:hash/Origin/{0}'.format(hp.icusp))
	for _i in range(n):
	    p = Pick()
	    p.creation_info = CreationInfo(version=hp.arid[_i])
	    p.resource_id = ResourceIdentifier('smi:hash/Pick/{0}'.format(p.creation_info.version))
	    p.waveform_id = WaveformStreamID(network_code=hp.snet[_i], station_code=hp.sname[_i], channel_code=hp.scomp[_i])
	    if hp.p_pol[_i] > 0:
		p.polarity = 'positive'
	    else:
		p.polarity = 'negative'
	    a = Arrival()
	    a.creation_info = CreationInfo(version=hp.arid[_i])
	    a.resource_id = ResourceIdentifier('smi:hash/Arrival/{0}'.format(p.creation_info.version))
	    a.azimuth = hp.p_azi_mc[_i,0]
	    a.takeoff_angle = 180. - hp.p_the_mc[_i,0]
	    a.pick_id = p.resource_id
	    origin.arrivals.append(a)
	    event.picks.append(p)
	event.origins.append(origin)
	event.preferred_origin_id = str(origin.resource_id)
    else: # just update the changes
	origin = event.preferred_origin()
	picks = []
	arrivals = []
	for _i in range(n):
	    ind = hp.p_index[_i]
	    a = origin.arrivals[ind]
	    p = a.pick_id.getReferredObject()
	    a.takeoff_angle = hp.p_the_mc[_i,0]
	    picks.append(p)
	    arrivals.append(a)
	if only_fm_picks:
	    origin.arrivals = arrivals
	    event.picks = picks
    # Use me double couple calculator and populate planes/axes etc
    x = hp._best_quality_index
    # Put all the mechanisms into the 'focal_mechanisms' list, mark "best" as preferred
    for s in range(hp.nmult):
        dc = DoubleCouple([hp.str_avg[s], hp.dip_avg[s], hp.rak_avg[s]])
        ax = dc.axis
        focal_mech = FocalMechanism()
        focal_mech.creation_info = CreationInfo(creation_time=UTCDateTime(), author=hp.author)
        focal_mech.triggering_origin_id = origin.resource_id
        focal_mech.resource_id = ResourceIdentifier('smi:hash/FocalMechanism/{0}/{1}'.format(hp.icusp, s+1))
        focal_mech.method_id = ResourceIdentifier('HASH')
        focal_mech.nodal_planes = NodalPlanes()
        focal_mech.nodal_planes.nodal_plane_1 = NodalPlane(*dc.plane1)
        focal_mech.nodal_planes.nodal_plane_2 = NodalPlane(*dc.plane2)
        focal_mech.principal_axes = PrincipalAxes()
        focal_mech.principal_axes.t_axis = Axis(azimuth=ax['T']['azimuth'], plunge=ax['T']['dip'])
        focal_mech.principal_axes.p_axis = Axis(azimuth=ax['P']['azimuth'], plunge=ax['P']['dip'])
        focal_mech.station_polarity_count = n
        focal_mech.azimuthal_gap = hp.magap
        focal_mech.misfit = hp.mfrac[s]
        focal_mech.station_distribution_ratio = hp.stdr[s]
        focal_mech.comments.append(
            Comment(hp.qual[s], resource_id=ResourceIdentifier(str(focal_mech.resource_id) + '/comment/quality'))
            )
        #----------------------------------------
        event.focal_mechanisms.append(focal_mech)
        if s == x:
            event.preferred_focal_mechanism_id = str(focal_mech.resource_id)
    return event
Пример #2
0
def outputOBSPY(hp, event=None, only_fm_picks=False):
    """
    Make an Event which includes the current focal mechanism information from HASH
    
    Use the 'only_fm_picks' flag to only include the picks HASH used for the FocalMechanism.
    This flag will replace the 'picks' and 'arrivals' lists of existing events with new ones.
    
    Inputs
    -------
    hp    : hashpy.HashPype instance
    
    event : obspy.core.event.Event
    
    only_fm_picks : bool of whether to overwrite the picks/arrivals lists
    
    
    Returns
    -------
    obspy.core.event.Event
    
    Event will be new if no event was input, FocalMech added to existing event
    """
    # Returns new (or updates existing) Event with HASH solution
    n = hp.npol
    if event is None:
        event = Event(focal_mechanisms=[], picks=[], origins=[])
        origin = Origin(arrivals=[])
        origin.time = UTCDateTime(hp.tstamp)
        origin.latitude = hp.qlat
        origin.longitude = hp.qlon
        origin.depth = hp.qdep
        origin.creation_info = CreationInfo(version=hp.icusp)
        origin.resource_id = ResourceIdentifier('smi:hash/Origin/{0}'.format(
            hp.icusp))
        for _i in range(n):
            p = Pick()
            p.creation_info = CreationInfo(version=hp.arid[_i])
            p.resource_id = ResourceIdentifier('smi:nsl/Pick/{0}'.format(
                p.creation_info.version))
            p.waveform_id = WaveformStreamID(network_code=hp.snet[_i],
                                             station_code=hp.sname[_i],
                                             channel_code=hp.scomp[_i])
            if hp.p_pol[_i] > 0:
                p.polarity = 'positive'
            else:
                p.polarity = 'negative'
            a = Arrival()
            a.creation_info = CreationInfo(version=hp.arid[_i])
            a.resource_id = ResourceIdentifier('smi:nsl/Arrival/{0}'.format(
                p.creation_info.version))
            a.azimuth = hp.p_azi_mc[_i, 0]
            a.takeoff_angle = 180. - hp.p_the_mc[_i, 0]
            a.pick_id = p.resource_id
            origin.arrivals.append(a)
            event.picks.append(p)
        event.origins.append(origin)
        event.preferred_origin_id = origin.resource_id.resource_id
    else:  # just update the changes
        origin = event.preferred_origin()
        picks = []
        arrivals = []
        for _i in range(n):
            ind = hp.p_index[_i]
            a = origin.arrivals[ind]
            p = a.pick_id.getReferredObject()
            a.takeoff_angle = hp.p_the_mc[_i, 0]
            picks.append(p)
            arrivals.append(a)
        if only_fm_picks:
            origin.arrivals = arrivals
            event.picks = picks
    # Use me double couple calculator and populate planes/axes etc
    x = hp._best_quality_index
    # Put all the mechanisms into the 'focal_mechanisms' list, mark "best" as preferred
    for s in range(hp.nmult):
        dc = DoubleCouple([hp.str_avg[s], hp.dip_avg[s], hp.rak_avg[s]])
        ax = dc.axis
        focal_mech = FocalMechanism()
        focal_mech.creation_info = CreationInfo(creation_time=UTCDateTime(),
                                                author=hp.author)
        focal_mech.triggering_origin_id = origin.resource_id
        focal_mech.resource_id = ResourceIdentifier(
            'smi:hash/FocalMechanism/{0}/{1}'.format(hp.icusp, s + 1))
        focal_mech.method_id = ResourceIdentifier('HASH')
        focal_mech.nodal_planes = NodalPlanes()
        focal_mech.nodal_planes.nodal_plane_1 = NodalPlane(*dc.plane1)
        focal_mech.nodal_planes.nodal_plane_2 = NodalPlane(*dc.plane2)
        focal_mech.principal_axes = PrincipalAxes()
        focal_mech.principal_axes.t_axis = Axis(azimuth=ax['T']['azimuth'],
                                                plunge=ax['T']['dip'])
        focal_mech.principal_axes.p_axis = Axis(azimuth=ax['P']['azimuth'],
                                                plunge=ax['P']['dip'])
        focal_mech.station_polarity_count = n
        focal_mech.azimuthal_gap = hp.magap
        focal_mech.misfit = hp.mfrac[s]
        focal_mech.station_distribution_ratio = hp.stdr[s]
        focal_mech.comments.append(
            Comment(
                hp.qual[s],
                resource_id=ResourceIdentifier(
                    focal_mech.resource_id.resource_id + '/comment/quality')))
        #----------------------------------------
        event.focal_mechanisms.append(focal_mech)
        if s == x:
            event.preferred_focal_mechanism_id = focal_mech.resource_id.resource_id
    return event
Пример #3
0
def write_qml(config, sourcepar):
    if not config.options.qml_file:
        return
    qml_file = config.options.qml_file
    cat = read_events(qml_file)
    evid = config.hypo.evid
    try:
        ev = [e for e in cat if evid in str(e.resource_id)][0]
    except Exception:
        logging.warning('Unable to find evid "{}" in QuakeML file. '
                        'QuakeML output will not be written.'.format(evid))

    origin = ev.preferred_origin()
    if origin is None:
        origin = ev.origins[0]
    origin_id = origin.resource_id
    origin_id_strip = origin_id.id.split('/')[-1]
    origin_id_strip = origin_id_strip.replace(config.smi_strip_from_origin_id,
                                              '')

    # Common parameters
    ssp_version = get_versions()['version']
    method_id = config.smi_base + '/sourcespec/' + ssp_version
    cr_info = CreationInfo()
    cr_info.agency_id = config.agency_id
    if config.author is None:
        author = '{}@{}'.format(getuser(), gethostname())
    else:
        author = config.author
    cr_info.author = author
    cr_info.creation_time = UTCDateTime()

    means = sourcepar.means_weight
    errors = sourcepar.errors_weight
    stationpar = sourcepar.station_parameters

    # Magnitude
    mag = Magnitude()
    _id = config.smi_magnitude_template.replace('$SMI_BASE', config.smi_base)
    _id = _id.replace('$ORIGIN_ID', origin_id_strip)
    mag.resource_id = ResourceIdentifier(id=_id)
    mag.method_id = ResourceIdentifier(id=method_id)
    mag.origin_id = origin_id
    mag.magnitude_type = 'Mw'
    mag.mag = means['Mw']
    mag_err = QuantityError()
    mag_err.uncertainty = errors['Mw']
    mag_err.confidence_level = 68.2
    mag.mag_errors = mag_err
    mag.station_count = len([_s for _s in stationpar.keys()])
    mag.evaluation_mode = 'automatic'
    mag.creation_info = cr_info

    # Seismic moment -- It has to be stored in a MomentTensor object
    # which, in turn, is part of a FocalMechanism object
    mt = MomentTensor()
    _id = config.smi_moment_tensor_template.replace('$SMI_BASE',
                                                    config.smi_base)
    _id = _id.replace('$ORIGIN_ID', origin_id_strip)
    mt.resource_id = ResourceIdentifier(id=_id)
    mt.derived_origin_id = origin_id
    mt.moment_magnitude_id = mag.resource_id
    mt.scalar_moment = means['Mo']
    mt_err = QuantityError()
    mt_err.lower_uncertainty = errors['Mo'][0]
    mt_err.upper_uncertainty = errors['Mo'][1]
    mt_err.confidence_level = 68.2
    mt.scalar_moment_errors = mt_err
    mt.method_id = method_id
    mt.creation_info = cr_info
    # And here is the FocalMechanism object
    fm = FocalMechanism()
    _id = config.smi_focal_mechanism_template.replace('$SMI_BASE',
                                                      config.smi_base)
    _id = _id.replace('$ORIGIN_ID', origin_id_strip)
    fm.resource_id = ResourceIdentifier(id=_id)
    fm.triggering_origin_id = origin_id
    fm.method_id = ResourceIdentifier(id=method_id)
    fm.moment_tensor = mt
    fm.creation_info = cr_info
    ev.focal_mechanisms.append(fm)

    # Station magnitudes
    for statId in sorted(stationpar.keys()):
        par = stationpar[statId]
        st_mag = StationMagnitude()
        seed_id = statId.split()[0]
        _id = config.smi_station_magnitude_template.replace(
            '$SMI_MAGNITUDE_TEMPLATE', config.smi_magnitude_template)
        _id = _id.replace('$ORIGIN_ID', origin_id_strip)
        _id = _id.replace('$SMI_BASE', config.smi_base)
        _id = _id.replace('$WAVEFORM_ID', seed_id)
        st_mag.resource_id = ResourceIdentifier(id=_id)
        st_mag.origin_id = origin_id
        st_mag.mag = par['Mw']
        st_mag.station_magnitude_type = 'Mw'
        st_mag.method_id = mag.method_id
        st_mag.creation_info = cr_info
        st_mag.waveform_id = WaveformStreamID(seed_string=seed_id)
        st_mag.extra = SSPExtra()
        st_mag.extra.moment = SSPTag(par['Mo'])
        st_mag.extra.corner_frequency = SSPTag(par['fc'])
        st_mag.extra.t_star = SSPTag(par['t_star'])
        ev.station_magnitudes.append(st_mag)
        st_mag_contrib = StationMagnitudeContribution()
        st_mag_contrib.station_magnitude_id = st_mag.resource_id
        mag.station_magnitude_contributions.append(st_mag_contrib)
    ev.magnitudes.append(mag)

    # Write other average parameters as custom tags
    ev.extra = SSPExtra()
    ev.extra.corner_frequency = SSPContainerTag()
    ev.extra.corner_frequency.value.value = SSPTag(means['fc'])
    ev.extra.corner_frequency.value.lower_uncertainty =\
        SSPTag(errors['fc'][0])
    ev.extra.corner_frequency.value.upper_uncertainty =\
        SSPTag(errors['fc'][1])
    ev.extra.corner_frequency.value.confidence_level = SSPTag(68.2)
    ev.extra.t_star = SSPContainerTag()
    ev.extra.t_star.value.value = SSPTag(means['t_star'])
    ev.extra.t_star.value.uncertainty = SSPTag(errors['t_star'])
    ev.extra.t_star.value.confidence_level = SSPTag(68.2)
    ev.extra.source_radius = SSPContainerTag()
    ev.extra.source_radius.value.value = SSPTag(means['ra'])
    ev.extra.source_radius.value.lower_uncertainty =\
        SSPTag(errors['ra'][0])
    ev.extra.source_radius.value.upper_uncertainty =\
        SSPTag(errors['ra'][1])
    ev.extra.source_radius.value.confidence_level = SSPTag(68.2)
    ev.extra.stress_drop = SSPContainerTag()
    ev.extra.stress_drop.value.value = SSPTag(means['bsd'])
    ev.extra.stress_drop.value.lower_uncertainty =\
        SSPTag(errors['bsd'][0])
    ev.extra.stress_drop.value.upper_uncertainty =\
        SSPTag(errors['bsd'][1])
    ev.extra.stress_drop.value.confidence_level = SSPTag(68.2)

    if config.set_preferred_magnitude:
        ev.preferred_magnitude_id = mag.resource_id.id

    qml_file_out = os.path.join(config.options.outdir, evid + '.xml')
    ev.write(qml_file_out, format='QUAKEML')
    logging.info('QuakeML file written to: ' + qml_file_out)