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175 lines
5.6 KiB
175 lines
5.6 KiB
from pyrocko.gui.snuffling import Snuffling, Param, Switch, NoViewerSet, Choice
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from pyrocko.gui.pile_viewer import Marker, EventMarker, PhaseMarker
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from pyrocko import io, trace, model
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from collections import defaultdict
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class CorrsearchSnuffling(Snuffling):
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'''
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<html>
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<head>
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<style type="text/css">
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body { margin-left:10px };
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</style>
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</head>
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<body>
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<h2 align="center">Cross Correlation Pattern Matching</h2>
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<h3 align="left">Usage</h3>
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<p>Select master signal using extended markers. Only one master signal per
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channel can be used.</p>
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<p>
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<b>Set parameters:</b><br />
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<b>· Downsample to [Hz]</b> - Reduce the number of samples to
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improve speed<br />
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<b>· Apply to full dataset</b> - Work on the entire data set
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(By default, processing is limited to data shown in viewer)
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<br />
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<b>· Normalization</b> - Normalize traces before cross
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correlation. <i>Gliding</i>: time varying normalization (using
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moving sum); <i>Normal</i>: normalizes by product of energy of
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both traces<br />
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<b>· Threshold</b> - Peak detection threshold applied to
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correlation trace<br />
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</p>
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Hit <b>run</b>.<br>
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</body>
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</html>
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'''
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def setup(self):
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'''Customization of the snuffling.'''
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self.set_name('Cross Correlation Search')
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self.add_parameter(
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Param('Downsample to [Hz]', 'downsample',
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None, 0.1, 200., high_is_none=True))
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self.add_parameter(Param('t search', 'tsearch', 1., 0.1, 100.))
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self.add_parameter(Switch('Apply to full dataset', 'apply_to_all', False))
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self.add_parameter(Choice('Normalization', 'normalization', 'Off',
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('Off', 'Normal', 'Gliding')))
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self.add_parameter(Param('Threshold', 'threshold', 0.5, 0., 1.))
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self.add_parameter(Switch('Use FFT', 'use_fft', True))
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self.set_live_update(False)
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def call(self):
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self.cleanup()
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try:
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viewer = self.get_viewer()
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lowpass = viewer.lowpass
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highpass = viewer.highpass
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markers = viewer.selected_markers()
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if not markers:
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return
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if len(markers) != 1:
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return
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marker = markers[0]
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master_tmin, master_tmax = marker.tmin, marker.tmax
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if master_tmin >= master_tmax:
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return
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except NoViewerSet:
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viewer = None
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master_tmin, master_tmax = self.master_tmin, self.master_tmax
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tpad = 0.
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if highpass:
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tpad = 1. / highpass
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pile = self.get_pile()
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masters = {}
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def preprocess(_tr):
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if self.downsample:
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_tr.downsample_to(1./self.downsample)
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if highpass:
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_tr.highpass(4, highpass)
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if lowpass:
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_tr.lowpass(4, lowpass)
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for tr in pile.all(tmin=master_tmin, tmax=master_tmax, tpad=tpad):
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for m in markers:
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if m.match_nslc(tr.nslc_id):
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preprocess(tr)
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tr.chop(tr.wmin, tr.wmax)
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masters[tr.nslc_id] = tr
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break
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if self.apply_to_all:
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tmin, tmax = pile.get_tmin()+tpad, pile.get_tmax()
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else:
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tmin, tmax = self.get_viewer().get_time_range()
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normalization = {'Off': None, 'Normal': 'normal', 'Gliding': 'gliding'}[self.normalization]
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for traces in pile.chopper(tmin=tmin, tmax=tmax, want_incomplete=True):
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sccs = defaultdict()
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sccn = defaultdict()
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for b in traces:
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nslc = b.nslc_id
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if nslc in masters:
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a = masters[nslc]
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preprocess(b)
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c = trace.correlate(
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a, b, mode='valid',
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normalization=normalization,
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use_fft=self.use_fft)
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c.shift(-c.tmin + b.tmin)
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c.meta = {'tabu': True}
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scc = sccs.get(nslc, None)
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if not scc:
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scc = c.copy()
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scc.meta = {'tabu': True}
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scc.wmin = b.wmin
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scc.wmax = b.wmax
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scc.set_codes(location=scc.location+'_SUM')
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sccn[nslc] = 1
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else:
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sccn[nslc] += 1
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sccs[nslc] = scc
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for nslc_id, scc in sccs.items():
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scc.ydata /= sccn[nslc_id]
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scc.chop(scc.wmin, scc.wmax)
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markers = []
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for t, a in zip(*scc.peaks(self.threshold, tsearch=self.tsearch)):
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m = PhaseMarker(tmin=t, tmax=t, phasename='%1.3f' % a, kind=3, nslc_ids=(nslc_id,))
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markers.append(m)
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if viewer:
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self.add_traces([scc])
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self.add_markers(markers)
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else:
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io.save([scc], self.out_path, format='from_extension')
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def __snufflings__():
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'''Returns a list of snufflings to be exported by this module.'''
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return [CorrsearchSnuffling()]
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if __name__ == '__main__':
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snuf = CorrsearchSnuffling()
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snuf.setup()
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snuf.apply_to_all = True
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snuf.corner_highpass = 0.1
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markers = Marker.load_markers('event.picks')
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m = markers[0]
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snuf.master_tmin, snuf.master_tmax = m.tmin, m.tmax
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snuf.out_path = 'corr/%(tmin)s.yaff'
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snuf.call()
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