Merge branch 'develop' of ariadne.geophysik.rub.de:/data/git/pylot into develop
This commit is contained in:
Ludger Küperkoch
commit
a48bb60809
@ -68,6 +68,7 @@ def autopickevent(data, param, iplot=0, fig_dict=None, ncores=0, metadata=None,
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pool.close()
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for pick in result:
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if pick:
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station = pick['station']
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pick.pop('station')
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all_onsets[station] = pick
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@ -87,6 +88,15 @@ def call_autopickstation(input_tuple):
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return autopickstation(wfstream, pickparam, verbose, iplot=0, metadata=metadata, origin=origin)
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def get_source_coords(parser, station_id):
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station_coords = None
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try:
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station_coords = parser.get_coordinates(station_id)
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except Exception as e:
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print('Could not get source coordinates for station {}: {}'.format(station_id, e))
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return station_coords
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def autopickstation(wfstream, pickparam, verbose=False,
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iplot=0, fig_dict=None, metadata=None, origin=None):
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"""
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@ -197,13 +207,14 @@ def autopickstation(wfstream, pickparam, verbose=False,
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if len(ndat) == 0: # check for other components
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ndat = wfstream.select(component="1")
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wfstart, wfend = full_range(wfstream)
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if not zdat:
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print('No z-component found for station {}. STOP'.format(wfstream[0].stats.station))
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return
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if algoP == 'HOS' or algoP == 'ARZ' and zdat is not None:
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msg = '##################################################\nautopickstation:' \
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' Working on P onset of station {station}\nFiltering vertical ' \
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'trace ...\n{data}'.format(station=zdat[0].stats.station,
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'trace ...\n{data}'.format(station=wfstream[0].stats.station,
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data=str(zdat))
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if verbose: print(msg)
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z_copy = zdat.copy()
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@ -224,11 +235,11 @@ def autopickstation(wfstream, pickparam, verbose=False,
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if not metadata[1]:
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print('Warning: Could not use TauPy to estimate onsets as there are no metadata given.')
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else:
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if origin:
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source_origin = origin[0]
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station_id = wfstream[0].get_id()
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parser = metadata[1]
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station_coords = parser.get_coordinates(station_id)
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station_coords = get_source_coords(parser, station_id)
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if station_coords and origin:
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source_origin = origin[0]
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model = TauPyModel(taup_model)
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arrivals = model.get_travel_times_geo(
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source_origin.depth,
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@ -254,9 +265,8 @@ def autopickstation(wfstream, pickparam, verbose=False,
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Lc = pstop - pstart
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print('autopick: CF calculation times respectively:'
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' pstart: {} s, pstop: {} s'.format(pstart, pstop))
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else:
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elif not origin:
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print('No source origins given!')
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else:
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Lc = pstop - pstart
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Lwf = zdat[0].stats.endtime - zdat[0].stats.starttime
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@ -964,14 +974,16 @@ def autopickstation(wfstream, pickparam, verbose=False,
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else:
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# dummy values (start of seismic trace) in order to derive
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# theoretical onset times for iteratve picking
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try:
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if edat:
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lpickS = edat[0].stats.starttime + timeerrorsS[3]
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epickS = edat[0].stats.starttime - timeerrorsS[3]
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mpickS = edat[0].stats.starttime
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except:
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elif ndat:
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lpickS = ndat[0].stats.starttime + timeerrorsS[3]
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epickS = ndat[0].stats.starttime - timeerrorsS[3]
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mpickS = ndat[0].stats.starttime
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else:
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return
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# create dictionary
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# for P phase
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@ -219,11 +219,13 @@ class AICPicker(AutoPicker):
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# check, if these are counts or m/s, important for slope estimation!
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# this is quick and dirty, better solution?
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if max(self.Data[0].data < 1e-3) and max(self.Data[0].data >= 1e-6):
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self.Data[0].data = self.Data[0].data * 1000000
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self.Data[0].data = self.Data[0].data * 1000000.
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elif max(self.Data[0].data < 1e-6):
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self.Data[0].data = self.Data[0].data * 1e13
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# get signal window
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isignal = getsignalwin(self.Tcf, self.Pick, self.TSNR[2])
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if len(isignal) == 0:
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return
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ii = min([isignal[len(isignal) - 1], len(self.Tcf)])
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isignal = isignal[0:ii]
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try:
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@ -242,7 +244,11 @@ class AICPicker(AutoPicker):
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& (self.Tcf >= self.Pick))
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# find maximum within slope determination window
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# 'cause slope should be calculated up to first local minimum only!
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imax = np.argmax(self.Data[0].data[islope[0][0]:islope[0][len(islope[0])-1]])
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dataslope = self.Data[0].data[islope[0][0]:islope[0][len(islope[0]) - 1]]
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if len(dataslope) < 1:
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print('No data in slope window found!')
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return
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imax = np.argmax(dataslope)
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iislope = islope[0][0:imax+1]
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if len(iislope) <= 2:
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# calculate slope from initial onset to maximum of AIC function
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@ -395,8 +401,14 @@ class PragPicker(AutoPicker):
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# prominent trend: decrease aus
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# flat: use given aus
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cfdiff = np.diff(cfipick)
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if len(cfdiff)<20:
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print('PragPicker: Very few samples for CF. Check LTA window dimensions!')
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i0diff = np.where(cfdiff > 0)
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cfdiff = cfdiff[i0diff]
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if len(cfdiff)<1:
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print('PragPicker: Negative slope for CF. Check LTA window dimensions! STOP')
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self.Pick = None
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return
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minaus = min(cfdiff * (1 + self.aus))
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aus1 = max([minaus, self.aus])
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@ -228,6 +228,10 @@ def fmpicker(Xraw, Xfilt, pickwin, Pick, iplot=0, fig=None):
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if len(zc1) == 3:
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break
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if len(zc1) < 3:
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print('fmpicker: Could not determine zero crossings!')
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return
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# if time difference betweeen 1st and 2cnd zero crossing
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# is too short, get time difference between 1st and 3rd
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# to derive maximum
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@ -21,7 +21,7 @@ except:
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pg = None
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from matplotlib.figure import Figure
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from pylot.core.util.utils import find_horizontals, identifyPhase, loopIdentifyPhase
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from pylot.core.util.utils import find_horizontals, identifyPhase, loopIdentifyPhase, trim_station_components
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try:
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from matplotlib.backends.backend_qt4agg import FigureCanvas
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@ -2058,6 +2058,9 @@ class TuneAutopicker(QWidget):
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def fill_stationbox(self):
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fnames = self.parent.getWFFnames_from_eventbox(eventbox=self.eventBox)
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self.data.setWFData(fnames)
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wfdat = self.data.getWFData() # all available streams
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# trim station components to same start value
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trim_station_components(wfdat, trim_start=True, trim_end=False)
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self.stationBox.clear()
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stations = []
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for trace in self.data.getWFData():
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@ -2248,7 +2251,7 @@ class TuneAutopicker(QWidget):
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else:
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self.disable_autopickTabs()
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try:
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main_fig.tight_layout()
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self.fig_dict['main_fig'].tight_layout()
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except:
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pass
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self.figure_tabs.setCurrentIndex(0)
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