Modified for using TimeArray object for plotting and expanded for picking on ARH-CF.
This commit is contained in:
Ludger Küperkoch
parent
112e0bc7fa
commit
201c34a85b
@ -58,24 +58,19 @@ def run_makeCF(project, database, event, iplot, station=None):
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##############################################################
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#calculate HOS-CF using subclass HOScf of class CharacteristicFunction
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hoscf = HOScf(st_copy, cuttimes, t2, p) #instance of HOScf
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#get corresponding time array -> unnecessary because implemented in CharacteristicFunction
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# thoscf = np.arange(0, len(hoscf.getCF()) / tr_filt.stats.sampling_rate, tr_filt.stats.delta) + cuttimes[0]
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##############################################################
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#get onset time from HOS-CF using class Picker
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#hospick = PragPicker(hoscf.getCF(), thoscf, 2, 70, [1, 0.5, 0.2], 2, 0.001, 0.2)
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#pdb.set_trace()
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#hospick = PragPicker(hoscf, 2, 70, [1, 0.5, 0.2], 2, 0.001, 0.2)
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##############################################################
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#calculate AIC-HOS-CF using subclass AICcf of class CharacteristicFunction
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#class needs stream object => build it
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tr_aic = tr_filt.copy()
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tr_aic.data = hoscf.getCF()
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st_copy[0].data = tr_aic.data
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aiccf = AICcf(st_copy, cuttimes, t2, p) #instance of AICcf
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#get corresponding time array
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#taiccf = np.arange(0, len(aiccf.getCF()) / tr_filt.stats.sampling_rate, tr_filt.stats.delta) + cuttimes[0]
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aiccf = AICcf(st_copy, cuttimes, t2) #instance of AICcf
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##############################################################
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#get onset time from AIC-HOS-CF using subclass AICPicker of class AutoPicking
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aicpick = AICPicker(aiccf, 2, 70, [1, 0.5, 0.2], 2, 0.001, 2.5)
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aicpick = AICPicker(aiccf, 2, 70, [1, 0.5, 0.2], 3)
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##############################################################
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#calculate ARZ-CF using subclass ARZcf of class CharcteristicFunction
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#get stream object of filtered data
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@ -87,7 +82,10 @@ def run_makeCF(project, database, event, iplot, station=None):
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tr_arzaic = tr_filt.copy()
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tr_arzaic.data = arzcf.getCF()
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st_copy[0].data = tr_arzaic.data
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araiccf = AICcf(st_copy, cuttimes, t2, p) #instance of AICcf
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araiccf = AICcf(st_copy, cuttimes, tpredz, 0, tdetz) #instance of AICcf
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##############################################################
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#get onset time from AIC-ARZ-CF using subclass AICPicker of class AutoPicking
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aicarzpick = AICPicker(araiccf, 2, 70, [1, 0.5, 0.2], 2)
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elif not wfzfiles:
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print 'No vertical component data found!'
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@ -113,6 +111,17 @@ def run_makeCF(project, database, event, iplot, station=None):
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#calculate ARH-CF using subclass ARHcf of class CharcteristicFunction
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arhcf = ARHcf(H_copy, cuttimes, tpredh, arhorder, tdeth, addnoise) #instance of ARHcf
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##############################################################
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#calculate AIC-ARH-CF using subclass AICcf of class CharacteristicFunction
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#class needs stream object => build it
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tr_arhaic = trH1_filt.copy()
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tr_arhaic.data = arhcf.getCF()
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H_copy[0].data = tr_arhaic.data
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#calculate ARH-AIC-CF
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arhaiccf = AICcf(H_copy, cuttimes, tpredh, 0, tdeth) #instance of AICcf
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##############################################################
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#get onset time from AIC-ARH-CF using subclass AICPicker of class AutoPicking
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aicarhpick = AICPicker(arhaiccf, 2, 70, [1, 0.5, 0.2], 2)
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###############################################################
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#create stream with 3 traces
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#merge streams
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AllC = read('%s' % wfefiles[i])
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@ -138,18 +147,18 @@ def run_makeCF(project, database, event, iplot, station=None):
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#plot vertical trace
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plt.figure()
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tr = st[0]
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tstepz = tpredz / 16
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tdata = np.arange(0, tr.stats.npts / tr.stats.sampling_rate, tr.stats.delta)
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tarzcf = np.arange(0, len(arzcf.getCF()) * tstepz, tstepz) + cuttimes[0] + tdetz +tpredz
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taraiccf = np.arange(0, len(araiccf.getCF()) * tstepz, tstepz) + cuttimes[0] +tdetz + tpredz
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p1 = plt.plot(tdata, tr_filt.data/max(tr_filt.data), 'k')
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p2 = plt.plot(thoscf, hoscf.getCF()/max(hoscf.getCF()), 'r')
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p3 = plt.plot(taiccf, aiccf.getCF()/max(aiccf.getCF()), 'b')
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p4 = plt.plot(tarzcf, arzcf.getCF()/max(arzcf.getCF()), 'g')
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p5 = plt.plot(taraiccf, araiccf.getCF()/max(araiccf.getCF()), 'y')
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plt.plot([aicpick.getpick(), aicpick.getpick()], [-1, 1], 'b')
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p2 = plt.plot(hoscf.getTimeArray(), hoscf.getCF() / max(hoscf.getCF()), 'r')
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p3 = plt.plot(aiccf.getTimeArray(), aiccf.getCF()/max(aiccf.getCF()), 'b')
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p4 = plt.plot(arzcf.getTimeArray(), arzcf.getCF()/max(arzcf.getCF()), 'g')
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p5 = plt.plot(araiccf.getTimeArray(), araiccf.getCF()/max(araiccf.getCF()), 'y')
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plt.plot([aicpick.getpick(), aicpick.getpick()], [-1, 1], 'b--')
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plt.plot([aicpick.getpick()-0.5, aicpick.getpick()+0.5], [1, 1], 'b')
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plt.plot([aicpick.getpick()-0.5, aicpick.getpick()+0.5], [-1, -1], 'b')
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plt.plot([aicarzpick.getpick(), aicarzpick.getpick()], [-1.2, 1.2], 'y--')
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plt.plot([aicarzpick.getpick()-0.5, aicarzpick.getpick()+0.5], [1.2, 1.2], 'y')
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plt.plot([aicarzpick.getpick()-0.5, aicarzpick.getpick()+0.5], [-1.2, -1.2], 'y')
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plt.yticks([])
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plt.xlabel('Time [s]')
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plt.ylabel('Normalized Counts')
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@ -165,14 +174,22 @@ def run_makeCF(project, database, event, iplot, station=None):
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tarhcf = np.arange(0, len(arhcf.getCF()) * tsteph, tsteph) + cuttimes[0] + tdeth +tpredh
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p21 = plt.plot(th1data, trH1_filt.data/max(trH1_filt.data), 'k')
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p22 = plt.plot(tarhcf, arhcf.getCF()/max(arhcf.getCF()), 'r')
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p23 = plt.plot(arhaiccf.getTimeArray(), arhaiccf.getCF()/max(arhaiccf.getCF()))
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plt.plot([aicarhpick.getpick(), aicarhpick.getpick()], [-1, 1], 'b--')
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plt.plot([aicarhpick.getpick()-0.5, aicarhpick.getpick()+0.5], [1, 1], 'b')
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plt.plot([aicarhpick.getpick()-0.5, aicarhpick.getpick()+0.5], [-1, -1], 'b')
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plt.yticks([])
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plt.ylabel('Normalized Counts')
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plt.title([trH1_filt.stats.station, trH1_filt.stats.channel])
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plt.suptitle(trH1_filt.stats.starttime)
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plt.legend([p21, p22], ['Data', 'ARH-CF'])
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plt.legend([p21, p22, p23], ['Data', 'ARH-CF', 'ARHAIC-CF'])
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plt.subplot(212)
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p23 = plt.plot(th2data, trH2_filt.data/max(trH2_filt.data), 'k')
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p24 = plt.plot(tarhcf, arhcf.getCF()/max(arhcf.getCF()), 'r')
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plt.plot(th2data, trH2_filt.data/max(trH2_filt.data), 'k')
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plt.plot(tarhcf, arhcf.getCF()/max(arhcf.getCF()), 'r')
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plt.plot(arhaiccf.getTimeArray(), arhaiccf.getCF()/max(arhaiccf.getCF()))
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plt.plot([aicarhpick.getpick(), aicarhpick.getpick()], [-1, 1], 'b--')
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plt.plot([aicarhpick.getpick()-0.5, aicarhpick.getpick()+0.5], [1, 1], 'b')
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plt.plot([aicarhpick.getpick()-0.5, aicarhpick.getpick()+0.5], [-1, -1], 'b')
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plt.title([trH2_filt.stats.station, trH2_filt.stats.channel])
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plt.yticks([])
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plt.xlabel('Time [s]')
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