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[bugfix] pickDlg takes into account timeshift of trace.starttime for different components

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[add] initial pick displayed in pickDlg
This commit is contained in:
Marcel Paffrath 2017-06-01 15:25:43 +02:00
parent 04304d3db8
commit 0fb6e5d4df
6 changed files with 83 additions and 40 deletions
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16
QtPyLoT.py
View File

@ -1616,18 +1616,24 @@ class MainWindow(QMainWindow):
colors = phase_col[phase[0].upper()]
mpp = picks['mpp'] - stime
if picks['epp'] and picks['lpp']:
epp = picks['epp'] - stime
lpp = picks['lpp'] - stime
spe = picks['spe']
if not spe:
if not spe and epp and lpp:
spe = symmetrize_error(mpp - epp, lpp - mpp)
if picktype == 'manual':
if picks['epp'] and picks['lpp']:
ax.fill_between([epp, lpp], ylims[0], ylims[1],
alpha=.25, color=colors[0])
ax.plot([mpp - spe, mpp - spe], ylims, colors[1],
[mpp, mpp], ylims, colors[2],
[mpp + spe, mpp + spe], ylims, colors[1])
alpha=.25, color=colors[0], label='EPP, LPP')
if spe:
ax.plot([mpp - spe, mpp - spe], ylims, colors[1], label='{}-SPE'.format(phase))
ax.plot([mpp + spe, mpp + spe], ylims, colors[1])
ax.plot([mpp, mpp], ylims, colors[2], label='{}-Pick'.format(phase))
else:
ax.plot([mpp, mpp], ylims, colors[6], label='{}-Pick (NO PICKERROR)'.format(phase))
elif picktype == 'auto':
ax.plot(mpp, ylims[1], colors[3],
mpp, ylims[0], colors[4])

2
pylot/RELEASE-VERSION
View File

@ -1 +1 @@
eaa4-dirty
0430-dirty

2
pylot/core/io/phases.py
View File

@ -358,7 +358,7 @@ def reassess_pilot_event(root_dir, db_dir, event_id, out_dir=None, fn_param=None
default.get('tsnrz' if phase == 'P' else 'tsnrh'),
Pick1=rel_pick,
iplot=None,
stealth_mode=True)
verbosity=0)
if epp is None or lpp is None:
continue
epp = stime + epp

23
pylot/core/pick/utils.py
View File

@ -14,7 +14,7 @@ import numpy as np
from obspy.core import Stream, UTCDateTime
def earllatepicker(X, nfac, TSNR, Pick1, iplot=None, stealth_mode=False, fig=None):
def earllatepicker(X, nfac, TSNR, Pick1, iplot=None, verbosity=1, fig=None):
'''
Function to derive earliest and latest possible pick after Diehl & Kissling (2009)
as reasonable uncertainties. Latest possible pick is based on noise level,
@ -40,10 +40,16 @@ def earllatepicker(X, nfac, TSNR, Pick1, iplot=None, stealth_mode=False, fig=Non
assert isinstance(X, Stream), "%s is not a stream object" % str(X)
if verbosity == 2:
print('earllatepicker:')
print('nfac:', nfac)
print('Init pick:', Pick1)
print('TSNR (T_noise, T_gap, T_signal):', TSNR)
LPick = None
EPick = None
PickError = None
if stealth_mode is False:
if verbosity:
print('earllatepicker: Get earliest and latest possible pick'
' relative to most likely pick ...')
@ -57,11 +63,18 @@ def earllatepicker(X, nfac, TSNR, Pick1, iplot=None, stealth_mode=False, fig=Non
x = x - np.mean(x[inoise])
# calculate noise level
nlevel = np.sqrt(np.mean(np.square(x[inoise]))) * nfac
if verbosity == 2:
print('x:', x)
print('t:', t)
print('x_inoise:', x[inoise])
print('x_isignal:', x[isignal])
print('nlevel:', nlevel)
# get time where signal exceeds nlevel
ilup, = np.where(x[isignal] > nlevel)
ildown, = np.where(x[isignal] < -nlevel)
if not ilup.size and not ildown.size:
if stealth_mode is False:
if verbosity:
print ("earllatepicker: Signal lower than noise level!\n"
"Skip this trace!")
return LPick, EPick, PickError
@ -78,7 +91,7 @@ def earllatepicker(X, nfac, TSNR, Pick1, iplot=None, stealth_mode=False, fig=Non
# if EPick stays NaN the signal window size will be doubled
while np.isnan(EPick):
if count > 0:
if stealth_mode is False:
if verbosity:
print("\nearllatepicker: Doubled signal window size %s time(s) "
"because of NaN for earliest pick." % count)
isigDoubleWinStart = pis[-1] + 1
@ -87,7 +100,7 @@ def earllatepicker(X, nfac, TSNR, Pick1, iplot=None, stealth_mode=False, fig=Non
if (isigDoubleWinStart + len(pis)) < X[0].data.size:
pis = np.concatenate((pis, isignalDoubleWin))
else:
if stealth_mode is False:
if verbosity:
print("Could not double signal window. Index out of bounds.")
break
count += 1

3
pylot/core/util/dataprocessing.py
View File

@ -169,7 +169,8 @@ def read_metadata(path_to_inventory):
dlfile = list()
invfile = list()
respfile = list()
inv = dict(dless=dlfile, xml=invfile, resp=respfile)
# possible file extensions specified here:
inv = dict(dless=dlfile, xml=invfile, resp=respfile, dseed=dlfile)
if os.path.isfile(path_to_inventory):
ext = os.path.splitext(path_to_inventory)[1].split('.')[1]
inv[ext] += [path_to_inventory]

61
pylot/core/util/widgets.py
View File

@ -431,7 +431,7 @@ class WaveformWidget(FigureCanvas):
def plotWFData(self, wfdata, title=None, zoomx=None, zoomy=None,
noiselevel=None, scaleddata=False, mapping=True,
component='*', nth_sample=1):
component='*', nth_sample=1, iniPick=None):
self.getAxes().cla()
self.clearPlotDict()
wfstart, wfend = full_range(wfdata)
@ -477,6 +477,11 @@ class WaveformWidget(FigureCanvas):
for level in noiselevel:
self.getAxes().plot([time_ax[0], time_ax[-1]],
[level, level], '--k')
if iniPick:
ax = self.getAxes()
ax.vlines(iniPick, ax.get_ylim()[0], ax.get_ylim()[1],
colors='green', linestyles='dashed',
linewidth=2)
self.setPlotDict(n, (station, channel, network))
xlabel = 'seconds since {0}'.format(wfstart)
ylabel = ''
@ -965,6 +970,9 @@ class PickDlg(QDialog):
while itrace > len(wfdata) - 1:
itrace -= 1
stime = self.getStartTime()
stime_diff = wfdata[itrace].stats.starttime-stime
# copy data for plotting
data = self.getWFData().copy()
@ -975,7 +983,7 @@ class PickDlg(QDialog):
data.filter(**filteroptions)
wfdata.filter(**filteroptions)
result = getSNR(wfdata, (noise_win, gap_win, signal_win), ini_pick, itrace)
result = getSNR(wfdata, (noise_win, gap_win, signal_win), ini_pick-stime_diff, itrace)
snr = result[0]
noiselevel = result[2]
@ -988,8 +996,8 @@ class PickDlg(QDialog):
# remove mean noise level from waveforms
for trace in data:
t = prepTimeAxis(trace.stats.starttime - self.getStartTime(), trace)
inoise = getnoisewin(t, ini_pick, noise_win, gap_win)
t = prepTimeAxis(trace.stats.starttime - stime, trace)
inoise = getnoisewin(t, ini_pick-stime_diff, noise_win, gap_win)
trace = demeanTrace(trace=trace, window=inoise)
self.setXLims([ini_pick - x_res, ini_pick + x_res])
@ -1001,7 +1009,8 @@ class PickDlg(QDialog):
zoomx=self.getXLims(),
zoomy=self.getYLims(),
noiselevel=(trace_number + noiselevel,
trace_number - noiselevel))
trace_number - noiselevel),
iniPick=ini_pick)
def setIniPickS(self, gui_event, wfdata):
@ -1014,6 +1023,9 @@ class PickDlg(QDialog):
gap_win = twins[1]
signal_win = twins[2]
stime = self.getStartTime()
stime_diff = wfdata[0].stats.starttime-stime
# copy data for plotting
data = self.getWFData().copy()
@ -1025,7 +1037,7 @@ class PickDlg(QDialog):
wfdata.filter(**filteroptions)
# determine SNR and noiselevel
result = getSNR(wfdata, (noise_win, gap_win, signal_win), ini_pick)
result = getSNR(wfdata, (noise_win, gap_win, signal_win), ini_pick-stime_diff)
snr = result[0]
noiselevel = result[2]
@ -1036,8 +1048,8 @@ class PickDlg(QDialog):
# prepare plotting of data
for trace in data:
t = prepTimeAxis(trace.stats.starttime - self.getStartTime(), trace)
inoise = getnoisewin(t, ini_pick, noise_win, gap_win)
t = prepTimeAxis(trace.stats.starttime - stime, trace)
inoise = getnoisewin(t, ini_pick-stime_diff, noise_win, gap_win)
trace = demeanTrace(trace, inoise)
# scale waveform for plotting
@ -1060,7 +1072,8 @@ class PickDlg(QDialog):
zoomx=self.getXLims(),
zoomy=self.getYLims(),
noiselevel=noiselevels,
scaleddata=True)
scaleddata=True,
iniPick=ini_pick)
def setPick(self, gui_event):
@ -1092,13 +1105,17 @@ class PickDlg(QDialog):
nfac = parameter.get('nfacS')
TSNR = parameter.get('tsnrh')
[epp, lpp, spe] = earllatepicker(wfdata, nfac, (TSNR[0], TSNR[1], TSNR[2]), pick)
# return absolute time values for phases
stime = self.getStartTime()
epp = stime + epp
stime_diff = wfdata[0].stats.starttime-stime
[epp, lpp, spe] = earllatepicker(wfdata, nfac, (TSNR[0], TSNR[1], TSNR[2]), pick-stime_diff, verbosity=2)
mpp = stime + pick
lpp = stime + lpp
if epp:
epp = stime + epp + stime_diff
if lpp:
lpp = stime + lpp + stime_diff
# save pick times for actual phase
phasepicks = dict(epp=epp, lpp=lpp, mpp=mpp, spe=spe,
@ -1147,8 +1164,8 @@ class PickDlg(QDialog):
ax = self.getPlotWidget().axes
ylims = self.getGlobalLimits('y')
phase_col = {
'P': ('c', 'c--', 'b-', 'bv', 'b^', 'b'),
'S': ('m', 'm--', 'r-', 'rv', 'r^', 'r')
'P': ('c', 'c--', 'b-', 'bv', 'b^', 'b', 'c:'),
'S': ('m', 'm--', 'r-', 'rv', 'r^', 'r', 'm:')
}
if self.getPicks(picktype):
if phase is not None and type(self.getPicks(picktype)[phase]) is dict:
@ -1164,23 +1181,29 @@ class PickDlg(QDialog):
return
mpp = picks['mpp'] - self.getStartTime()
if picks['epp'] and picks['lpp']:
epp = picks['epp'] - self.getStartTime()
lpp = picks['lpp'] - self.getStartTime()
spe = picks['spe']
if picktype == 'manual':
if picks['epp'] and picks['lpp']:
ax.fill_between([epp, lpp], ylims[0], ylims[1],
alpha=.25, color=colors[0])
alpha=.25, color=colors[0], label='EPP, LPP')
if spe:
ax.plot([mpp - spe, mpp - spe], ylims, colors[1],
[mpp, mpp], ylims, colors[2],
[mpp + spe, mpp + spe], ylims, colors[1])
ax.plot([mpp - spe, mpp - spe], ylims, colors[1], label='{}-SPE'.format(phase))
ax.plot([mpp + spe, mpp + spe], ylims, colors[1])
ax.plot([mpp, mpp], ylims, colors[2], label='{}-Pick'.format(phase))
else:
ax.plot([mpp, mpp], ylims, colors[6], label='{}-Pick (NO PICKERROR)'.format(phase))
elif picktype == 'auto':
ax.plot(mpp, ylims[1], colors[3],
mpp, ylims[0], colors[4])
ax.vlines(mpp, ylims[0], ylims[1], colors[5], linestyles='dotted')
else:
raise TypeError('Unknown picktype {0}'.format(picktype))
ax.legend()
def panPress(self, gui_event):