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[closes #182]

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noiselevel now determined as the maximum of the absolute values of the noisewindow (holds also for signallevel); now the SNR and noiselevel is determined from the filtered waveform
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Sebastian Wehling-Benatelli 2016-03-03 10:37:35 +01:00
parent 848d11270b
commit 6108519acb
3 changed files with 18 additions and 11 deletions
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2
pylot/RELEASE-VERSION
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@ -1 +1 @@
a31e-dirty 848d-dirty

8
pylot/core/pick/utils.py
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@ -362,8 +362,12 @@ def getSNR(X, TSNR, t1, tracenum=0):
x = x - np.mean(x[inoise]) x = x - np.mean(x[inoise])
# calculate ratios # calculate ratios
noiselevel = np.sqrt(np.mean(np.square(x[inoise]))) # noiselevel = np.sqrt(np.mean(np.square(x[inoise])))
signallevel = np.sqrt(np.mean(np.square(x[isignal]))) # signallevel = np.sqrt(np.mean(np.square(x[isignal])))
noiselevel = np.abs(x[inoise]).max()
signallevel = np.abs(x[isignal]).max()
SNR = signallevel / noiselevel SNR = signallevel / noiselevel
SNRdB = 10 * np.log10(SNR) SNRdB = 10 * np.log10(SNR)

19
pylot/core/util/widgets.py
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@ -516,31 +516,34 @@ class PickDlg(QDialog):
gap_win = settings.value('picking/gap_win_P', .2) gap_win = settings.value('picking/gap_win_P', .2)
signal_win = settings.value('picking/signal_win_P', 3.) signal_win = settings.value('picking/signal_win_P', 3.)
result = getSNR(wfdata, (noise_win, gap_win, signal_win), ini_pick) # copy data for plotting
snr = result[0]
noiselevel = result[2] * nfac
data = self.getWFData().copy() data = self.getWFData().copy()
# filter data and trace on which is picked prior to determination of SNR
phase = self.selectPhase.currentText() phase = self.selectPhase.currentText()
filteroptions = self.getFilterOptions(phase).parseFilterOptions() filteroptions = self.getFilterOptions(phase).parseFilterOptions()
data.filter(**filteroptions) data.filter(**filteroptions)
wfdata.filter(**filteroptions)
# determine SNR and noiselevel
result = getSNR(wfdata, (noise_win, gap_win, signal_win), ini_pick)
snr = result[0]
noiselevel = result[2] * nfac
# prepare plotting of data
for trace in data: for trace in data:
t = prepTimeAxis(trace.stats.starttime - self.getStartTime(), trace) t = prepTimeAxis(trace.stats.starttime - self.getStartTime(), trace)
inoise = getnoisewin(t, ini_pick, noise_win, gap_win) inoise = getnoisewin(t, ini_pick, noise_win, gap_win)
trace = demeanTrace(trace, inoise) trace = demeanTrace(trace, inoise)
# account for non-oriented horizontal waveforms
try: try:
horiz_comp = ('n', 'e') horiz_comp = ('n', 'e')
data = scaleWFData(data, noiselevel * 2.5, horiz_comp) data = scaleWFData(data, noiselevel * 2.5, horiz_comp)
except IndexError as e: except IndexError as e:
print('warning: {0}'.format(e)) print('warning: {0}'.format(e))
horiz_comp = ('1', '2') horiz_comp = ('1', '2')
data = scaleWFData(data, noiselevel * 2.5, horiz_comp)
data = scaleWFData(data, noiselevel * 2.5, horiz_comp)
x_res = getResolutionWindow(snr) x_res = getResolutionWindow(snr)