Merge branch 'develop' of ariadne:/data/git/pylot into develop

This commit is contained in:
Marcel Paffrath 2017-06-27 15:11:06 +02:00
commit cb1fb60eec
2 changed files with 10 additions and 0 deletions

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@ -215,6 +215,8 @@ class LocalMagnitude(Magnitude):
th = np.arange(0, len(sqH) * dt, dt) th = np.arange(0, len(sqH) * dt, dt)
# get maximum peak within pick window # get maximum peak within pick window
iwin = getsignalwin(th, t0 - stime, self.calc_win) iwin = getsignalwin(th, t0 - stime, self.calc_win)
ii = min([iwin[len(iwin)-1], len(th)])
iwin = iwin[0:ii]
wapp = np.max(sqH[iwin]) wapp = np.max(sqH[iwin])
if self.verbose: if self.verbose:
print("Determined Wood-Anderson peak-to-peak amplitude for station {0}: {1} " print("Determined Wood-Anderson peak-to-peak amplitude for station {0}: {1} "

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@ -212,6 +212,14 @@ class AICPicker(AutoPicker):
self.Data[0].data = self.Data[0].data * 1000000 self.Data[0].data = self.Data[0].data * 1000000
# get signal window # get signal window
isignal = getsignalwin(self.Tcf, self.Pick, self.TSNR[2]) isignal = getsignalwin(self.Tcf, self.Pick, self.TSNR[2])
ii = min([isignal[len(isignal)-1], len(self.Tcf)])
isignal = isignal[0:ii]
try:
aic[isignal]
except IndexError as e:
msg = "Time series out of bounds! {}".format(e)
print(msg)
return
# calculate SNR from CF # calculate SNR from CF
self.SNR = max(abs(aic[isignal] - np.mean(aic[isignal]))) / \ self.SNR = max(abs(aic[isignal] - np.mean(aic[isignal]))) / \
max(abs(aic[inoise] - np.mean(aic[inoise]))) max(abs(aic[inoise] - np.mean(aic[inoise])))