Modified for improved class Picker.py
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@ -2,7 +2,7 @@
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# -*- coding: utf-8 -*-
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"""
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Script to run PyLoT modules CharFuns.py and Picker.py.
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Script to run autoPyLoT-script "makeCF.py".
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Only for test purposes!
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"""
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@ -10,24 +10,26 @@ from obspy.core import read
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import matplotlib.pyplot as plt
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import numpy as np
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from pylot.core.pick.CharFuns import CharacteristicFunction
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from pylot.core.pick.Picker import AutoPicking
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from pylot.core.pick.Picker import Picker
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import glob
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import argparse
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def run_makeCF(project, database, event, iplot, station=None):
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#parameters for CF calculation
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t2 = 7 #length of moving window for HOS calculation [sec]
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p = 4 #order of statistics
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cuttimes = [10, 50] #start and end time for CF calculation
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bpz = [2, 30] #corner frequencies of bandpass filter, vertical component
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bph = [2, 15] #corner frequencies of bandpass filter, horizontal components
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tdetz= 1.2 #length of AR-determination window [sec], vertical component
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tdeth= 0.8 #length of AR-determination window [sec], horizontal components
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tpredz = 0.4 #length of AR-prediction window [sec], vertical component
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tpredh = 0.4 #length of AR-prediction window [sec], horizontal components
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addnoise = 0.001 #add noise to seismogram for stable AR prediction
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arzorder = 2 #chosen order of AR process, vertical component
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arhorder = 4 #chosen order of AR process, horizontal components
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t2 = 7 #length of moving window for HOS calculation [sec]
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p = 4 #order of HOS
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cuttimes = [10, 50] #start and end time for CF calculation
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bpz = [2, 30] #corner frequencies of bandpass filter, vertical component
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bph = [2, 15] #corner frequencies of bandpass filter, horizontal components
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tdetz= 1.2 #length of AR-determination window [sec], vertical component
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tdeth= 0.8 #length of AR-determination window [sec], horizontal components
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tpredz = 0.4 #length of AR-prediction window [sec], vertical component
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tpredh = 0.4 #length of AR-prediction window [sec], horizontal components
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addnoise = 0.001 #add noise to seismogram for stable AR prediction
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arzorder = 2 #chosen order of AR process, vertical component
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arhorder = 4 #chosen order of AR process, horizontal components
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TSNR = [5, 0.5, 1, 0.03] #window lengths [s] for calculating SNR for earliest/latest pick and quality assessment
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#[noise window, safety gap, signal window, slope determination window]
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#get waveform data
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if station:
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dpz = '/DATA/%s/EVENT_DATA/LOCAL/%s/%s/%s*HZ.msd' % (project, database, event, station)
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@ -66,12 +68,12 @@ def run_makeCF(project, database, event, iplot, station=None):
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aiccf = AICcf(st_copy, cuttimes) #instance of AICcf
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##############################################################
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#get prelimenary onset time from AIC-HOS-CF using subclass AICPicker of class AutoPicking
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aicpick = AICPicker(aiccf, None, [5, 0.5, 1], 3, 10, None, 0.1)
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aicpick = AICPicker(aiccf, None, TSNR, 3, 10, None, 0.1)
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##############################################################
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#get refined onset time from HOS-CF using class Picker
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hospick = PragPicker(hoscf, None, [5, 0.5, 1], 2, 10, 0.001, 0.2, aicpick.getpick())
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hospick = PragPicker(hoscf, None, TSNR, 2, 10, 0.001, 0.2, aicpick.getpick())
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#get earliest and latest possible picks
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hosELpick = EarlLatePicker(hoscf, 1.5, [5, 0.5, 1], None, 10, None, None, hospick.getpick())
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hosELpick = EarlLatePicker(hoscf, 1.5, TSNR, None, 10, None, None, hospick.getpick())
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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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@ -86,12 +88,12 @@ def run_makeCF(project, database, event, iplot, station=None):
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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, 1.5, [5, 0.5, 2], 2, 10, None, 0.1)
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aicarzpick = AICPicker(araiccf, 1.5, TSNR, 2, 10, None, 0.1)
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##############################################################
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#get refined onset time from ARZ-CF using class Picker
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arzpick = PragPicker(arzcf, 1.5, [5, 0.5, 2], 2.0, 10, 0.1, 0.05, aicarzpick.getpick())
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arzpick = PragPicker(arzcf, 1.5, TSNR, 2.0, 10, 0.1, 0.05, aicarzpick.getpick())
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#get earliest and latest possible picks
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arzELpick = EarlLatePicker(arzcf, 1.5, [5, 0.5, 1], None, 10, None, None, arzpick.getpick())
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arzELpick = EarlLatePicker(arzcf, 1.5, TSNR, None, 10, None, None, arzpick.getpick())
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elif not wfzfiles:
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print 'No vertical component data found!'
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@ -127,12 +129,12 @@ def run_makeCF(project, database, event, iplot, station=None):
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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, 1.5, [5, 0.5, 2], 4, 10, None, 0.1)
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aicarhpick = AICPicker(arhaiccf, 1.5, TSNR, 4, 10, None, 0.1)
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###############################################################
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#get refined onset time from ARH-CF using class Picker
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arhpick = PragPicker(arhcf, 1.5, [5, 0.5, 2], 2.5, 10, 0.1, 0.05, aicarhpick.getpick())
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arhpick = PragPicker(arhcf, 1.5, TSNR, 2.5, 10, 0.1, 0.05, aicarhpick.getpick())
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#get earliest and latest possible picks
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arhELpick = EarlLatePicker(arhcf, 1.5, [5, 0.5, 1], None, 10, None, None, arhpick.getpick())
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arhELpick = EarlLatePicker(arhcf, 1.5, TSNR, None, 10, None, None, arhpick.getpick())
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#create stream with 3 traces
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#merge streams
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@ -155,7 +157,7 @@ def run_makeCF(project, database, event, iplot, station=None):
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#calculate AR3C-CF using subclass AR3Ccf of class CharacteristicFunction
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ar3ccf = AR3Ccf(AllC, cuttimes, tpredz, arhorder, tdetz, addnoise) #instance of AR3Ccf
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#get earliest and latest possible pick from initial ARH-pick
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ar3cELpick = EarlLatePicker(ar3ccf, 1.5, [5, 0.5, 1], None, 10, None, None, arhpick.getpick())
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ar3cELpick = EarlLatePicker(ar3ccf, 1.5, TSNR, None, 10, None, None, arhpick.getpick())
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##############################################################
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if iplot:
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#plot vertical trace
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@ -187,7 +189,8 @@ def run_makeCF(project, database, event, iplot, station=None):
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plt.ylim([-1.5, 1.5])
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plt.xlabel('Time [s]')
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plt.ylabel('Normalized Counts')
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plt.title([tr.stats.station, tr.stats.channel])
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plt.title('%s, %s, AIC-SNR=%7.2f, AIC-Slope=%12.2f' % (tr.stats.station, \
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tr.stats.channel, aicpick.getSNR(), aicpick.getSlope()))
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plt.suptitle(tr.stats.starttime)
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plt.legend([p1, p2, p3, p4, p5], ['Data', 'HOS-CF', 'HOSAIC-CF', 'ARZ-CF', 'ARZAIC-CF'])
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#plot horizontal traces
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