Пример #1
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def pick_events(window=(-100, 500), filter=(0.033, 2.), phase='P', new_sampling_rate=20):  #@ReservedAssignment
    logfile = os.path.dirname(data.rf_events) + '/log_pick_events_%s.txt'
    util.checkDir(logfile)
    util.setRootLogger(logfile=logfile % '', logdebugfile=logfile % '_debug')
    log.info('***** Pick events: %s' % util.parameters())
    mod_data.eventPicker(data, component='all', phase=phase, window=window,
                     filter=filter, new_sampling_rate=new_sampling_rate)
Пример #2
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def pick_events(
        window=(-100, 500), filter=(0.033, 2.), phase='P',
        new_sampling_rate=20):  #@ReservedAssignment
    logfile = os.path.dirname(data.rf_events) + '/log_pick_events_%s.txt'
    util.checkDir(logfile)
    util.setRootLogger(logfile=logfile % '', logdebugfile=logfile % '_debug')
    log.info('***** Pick events: %s' % util.parameters())
    mod_data.eventPicker(data,
                         component='all',
                         phase=phase,
                         window=window,
                         filter=filter,
                         new_sampling_rate=new_sampling_rate)
Пример #3
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def calculate_rf(year='*', pp=False, rotateLQT=True, deconvolvef=False):
    logfile = data.rf_results_dir + 'a_log%s.txt'
    util.checkDir(logfile)
    util.setRootLogger(logfile=logfile % '', logdebugfile=logfile % '_debug')
    log.info('***** Calculate RF')
    for station in data.stations.keys():
        stream = read(data.rf_events % (station, year + '.QHD'))
        if pp:
            stream.setPhase('PP')
        stream.pspier(60, data.stations)
        log.info('number of events: %s' % (len(stream) // 3))
        #stream.filter2(0.033, 2.)
        stream.trim2(-20, 100, relative='ponset')
        stream.sort(('event.id', 'station', 'component'))
        stream.check()
        stream.setHI('mark', False)
        if rotateLQT:
            stream.rotateZNE2LQT(-5, 15, usetheo=True)
            stream.afarm(signoise=2.0, remove=True)
        else:
            #stream.rotateZNE2LQT(-5, 15, usetheo=True)
            #stream.afarm(signoise=2.0, remove=True)
            #stream.trim2(-20, 100, relative='ponset')
            #stream.rotateLQT2ZNE(usetheo=True)
            stream.rotateNE2RT()
        #stream.afarm(signoise=2.0, remove=True)
        #stream.trim2(-25, 100, relative='ponset')

        # log.info('number of events after first farm: %s' % (len(stream)//3))
        # util.ipshell()
        #stream.receiverf(water=0.005, gauss=5, tshift=20, pad=0,
        #                 window='tukey', start=-10, end=30, where='ponset', lenslope=5)
        if deconvolvef:
            stream.receiverf()
        else:
            stream.receivert()
        #stream.receiverSH(-10, 80, 1)
        #stream.afarm('rf', signoise=2., signoiseQ=1., maxL=1 / 1.5, sigQ=False, broad=True, remove=False)
        #stream.afarm('rf', signoise=False, signoiseQ=False, maxL=False, sigQ=False, broad=False, remove=False)
        #log.info('number of events after second farm: %s' % (len(stream)//3))

        stream.write(data.rf_results % (station, '') + 'nomout', 'Q')
        #stream.writey(data.rf_results % (station, '%s') + '_nomout', 'Q')
        print stream.getReasons()
Пример #4
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def calculate_rf(year='*', pp=False, rotateLQT=True, deconvolvef=False):
    logfile = data.rf_results_dir + 'a_log%s.txt'
    util.checkDir(logfile)
    util.setRootLogger(logfile=logfile % '', logdebugfile=logfile % '_debug')
    log.info('***** Calculate RF')
    for station in data.stations.keys():
        stream = read(data.rf_events % (station, year + '.QHD'))
        if pp:
            stream.setPhase('PP')
        stream.pspier(60, data.stations)
        log.info('number of events: %s' % (len(stream) // 3))
        #stream.filter2(0.033, 2.)
        stream.trim2(-20, 100, relative='ponset')
        stream.sort(('event.id', 'station', 'component'))
        stream.check()
        stream.setHI('mark', False)
        if rotateLQT:
            stream.rotateZNE2LQT(-5, 15, usetheo=True)
            stream.afarm(signoise=2.0, remove=True)
        else:
            #stream.rotateZNE2LQT(-5, 15, usetheo=True)
            #stream.afarm(signoise=2.0, remove=True)
            #stream.trim2(-20, 100, relative='ponset')
            #stream.rotateLQT2ZNE(usetheo=True)
            stream.rotateNE2RT()
        #stream.afarm(signoise=2.0, remove=True)
        #stream.trim2(-25, 100, relative='ponset')

        # log.info('number of events after first farm: %s' % (len(stream)//3))
        # util.ipshell()
        #stream.receiverf(water=0.005, gauss=5, tshift=20, pad=0,
        #                 window='tukey', start=-10, end=30, where='ponset', lenslope=5)
        if deconvolvef:
            stream.receiverf()
        else:
            stream.receivert()
        #stream.receiverSH(-10, 80, 1)
        #stream.afarm('rf', signoise=2., signoiseQ=1., maxL=1 / 1.5, sigQ=False, broad=True, remove=False)
        #stream.afarm('rf', signoise=False, signoiseQ=False, maxL=False, sigQ=False, broad=False, remove=False)
        #log.info('number of events after second farm: %s' % (len(stream)//3))

        stream.write(data.rf_results % (station, '') + 'nomout', 'Q')
        #stream.writey(data.rf_results % (station, '%s') + '_nomout', 'Q')
        print stream.getReasons()
Пример #5
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def mout(station='*', year='*'):
    log.info('***** Move Out correction')
    global rf_stream
    logfile = data.rf_results_dir + 'a_mout_log%s.txt'
    util.checkDir(logfile)
    util.setRootLogger(logfile=logfile % '', logdebugfile=logfile % '_debug')
    rf_stream = read(data.rf_results % (station, year) + 'nomout.QHD')
    if False:
        st2 = rf_stream.copy()
        st2.moveout(phase='Ppps')
        st2.trim2(-20, 100)
        st2.write(data.rf_results % '_Ppps', 'Q')
        st3 = rf_stream.copy()
        st3.moveout(phase='Ppss')
        st3.trim2(-20, 100)
        st3.write(data.rf_results % '_Ppss', 'Q')
    rf_stream.moveout(phase='Ps')
    #rf_stream.trim2(-20, 100)
    rf_stream.writex(data.rf_results % ('%s', '') + 'mout', 'Q', years=False)
Пример #6
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def mout(station='*', year='*'):
    log.info('***** Move Out correction')
    global rf_stream
    logfile = data.rf_results_dir + 'a_mout_log%s.txt'
    util.checkDir(logfile)
    util.setRootLogger(logfile=logfile % '', logdebugfile=logfile % '_debug')
    rf_stream = read(data.rf_results % (station, year) + 'nomout.QHD')
    if False:
        st2 = rf_stream.copy()
        st2.moveout(phase='Ppps')
        st2.trim2(-20, 100)
        st2.write(data.rf_results % '_Ppps', 'Q')
        st3 = rf_stream.copy()
        st3.moveout(phase='Ppss')
        st3.trim2(-20, 100)
        st3.write(data.rf_results % '_Ppss', 'Q')
    rf_stream.moveout(phase='Ps')
    #rf_stream.trim2(-20, 100)
    rf_stream.writex(data.rf_results % ('%s', '') + 'mout', 'Q', years=False)
Пример #7
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def main():
    global data, plotdir, mark

    ##### Parkfield filenames
    #    pkd = mod_data.Parkfield()
    #    pkd.events = '/home/richter/Data/events/events_30-90_mag5.5_Parkfield.txt'
    #    pkd.rf_events = pkd.data + '/receiver/events30-90/%s_%s'
    #    pkd.rf_results = pkd.results + '/receiver/results/%s_%s'
    #    pkd.rf_results_dir = pkd.results + '/receiver/results/'
    #    pkd.rf_events = pkd.data + '/receiver/events30-90_mag5.5/%s_%s'
    #    pkd.rf_results = pkd.results + '/receiver/results_mag5.5/%s_%s'
    #    pkd.rf_results_dir = pkd.results + '/receiver/results_mag5.5/'
    #    pkd.rf_plot_dir = pkd.rf_results_dir + 'plots/'

    ##### IPOC filenames
    ipoc = mod_data.IPOC()
    ipoc.events = '/home/richter/Data/events/2012_03_events_27-93_mag5.5_IPOC.txt'
    ipoc.rf_events = ipoc.data + '/receiver/2012_events_mag5.5/%s_%s'
    ipoc.rf_results = ipoc.results + '/receiver/2012_mag5.5_RT/%s_%s'
    ipoc.rf_results_dir = ipoc.results + '/receiver/2012_mag5.5_RT/'
    ipoc.rf_plot_dir = ipoc.rf_results_dir + 'plots/'

    ##### EventPicker
    #    data=pkd
    #    pick_events()
    #    data.events = '/home/richter/Data/events/events_90-160_mag5.5_Parkfield.txt'
    #    data.rf_events = data.data + '/receiver/events90-160_mag5.5/%s_%s'
    #    pick_events(window = (-100,400), phase = 'PP')

    data = ipoc
    #    data.stations.pick('LVC')
    #    events2 = events.Events.read(data.events)
    #    events2.pick(after='2012-01-01')
    #    data.events = events2
    #pick_events()

    #    data.events = '/home/richter/Data/events/events_90-160_mag5.5_IPOC.txt'
    #    data.rf_events = data.data + '/receiver/events90-160_mag5.5/%s_%s'
    #    pick_events(window = (-100,400), phase = 'PP')

    ##### Constrain events
    #from sito import Events
    #data.events = Events.read(data.events)
    #data.events.pick(after='2010-01-01')

    ##### Calculating RFs
    #    logging.basicConfig()
    #    data=pkd
    #    plotdir = data.rf_plot_dir
    #    util.checkDir(plotdir)
    #    calculate_rf()
    #    mout()
    ##    produce_event_files('PKD')
    #    create_rf_plots(years=range(1996, 2011))
    #
    ##    create_interval_plot('225<=st.azi<=265.7')
    ##    time_binned('PKD', 1996.75, 2011.25, 0.5,'225<=st.azi<=265.7')
    #
    #    # IPOC
    logging.basicConfig()
    data = ipoc
    plotdir = data.rf_plot_dir
    util.checkDir(plotdir)
    calculate_rf(rotateLQT=False)
    mout()
    #mout('LVC')
    #    produce_event_files('PB02')
    ###create_rf_plots(components='LQT')  # Do not use!
    create_rf_plots(components='ZRT')
Пример #8
0
def plotXcorrs(data, correlations, t1, t2, filters=None, filter_now=True, start=None, end=None, select=None, plot_overview=True, plot_years=True,
                        add_to_title='', add_to_file='', show=False, landscape=False, use_dlognorm=True, period=24 * 3600, stack=None, ext='.png', **kwargs):
    figsize = (8.267, 11.693)
    if landscape:
        figsize = figsize[::-1]
    util.checkDir(data.getPlotX(('', ''), t1, stack=stack))
    if filters is None:
        filters = (None,)
    if stack:
        print 'Plot stack xcorrs...'
    else:
        print 'Plot xcorrs...'
    for correlation in ProgressBar()(correlations):
        stations = correlation[0][:-1], correlation[1][:-1]
        try:
            dist = data.stations.dist(*stations)
        except:
            #TaiQ station
            start = -150
            end = 150
        if start is None or end is None:
            if dist >= 120:
                t = (dist // 100) * 50 + 100
            else:
                t = 100
            #print stations, dist, t
            startt = -t
            endt = t
        else:
            startt = start
            endt = end
        if correlation[0] == correlation[1] and (start is None or start < 0):
            startt = 0
        if filter_now:
            try:
                stream_orig = data.readX(correlation, t1, t2, period=period, filter=None, stack=stack)
            except IOError as ex:
                print ex
                continue
        for filter_ in filters:
            if filter_now:
                stream = stream_orig.copy()
                if filter_:
                    stream.filter2(*filter_)
            else:
                try:
                    stream = data.readX(correlation, t1, t2, period=period, filter=filter_, stack=stack)
                except IOError as ex:
                    print ex
                    continue
            if select:
                stream = stream.select(expr=select)
            #print stream
            if len(stream) > 0:
                if plot_overview:
                    if show:
                        save = None
                        figtitle = add_to_title
                    else:
                        savebase = data.getPlotX(correlation, 'all', period=period, filter=filter_, stack=stack) + add_to_file
                        save = savebase + ext
                        savebase = os.path.basename(savebase)
                        figtitle = savebase + ' ' + add_to_title
                    stream.plotXcorr(startt, endt, imshow=True, use_dlognorm=use_dlognorm,
                                     fig=plt.figure(figsize=figsize),
                                     figtitle=figtitle, save=None, show=show,
                                     dateformatter='%Y-%m-%d',  #dateformatter='%y %b'
                                     ** kwargs)
                    tit = stream[0].stats.station
                    t**s = stream[0].stats.station.split('-')
                    if t**s[0] == t**s[1]:
                        tit = t**s[0]
                    tit = tit + '  ' + add_to_title
                    plt.gcf().axes[1].annotate(tit, (0.5, 1.), (0, 5), 'axes fraction', 'offset points', clip_on=False, ha='center', va='bottom')
                    plt.gcf().savefig(save, bbox_inches='tight')
                    if show:
                        plt.show()
                    plt.close()
                if plot_years:
                    for ys in streamyeargen2(stream):
                        t_year, s_year = ys
                        if show:
                            save = None
                            figtitle = add_to_title
                        else:
                            savebase = data.getPlotX(correlation, t_year, period=period, filter=filter, stack=stack) + add_to_file
                            save = savebase + ext
                            savebase = os.path.basename(savebase)
                            figtitle = savebase + ' ' + add_to_title
                        s_year.plotXcorr(startt, endt, imshow=True, use_dlognorm=use_dlognorm,
                                     fig=plt.figure(figsize=figsize),
                                     figtitle=figtitle,  #'station year ' + add_to_title,
                                     dateformatter='%y-%m-%d', show=False,
                                     save=save,
                                     **kwargs)
Пример #9
0
def main():
    global data, plotdir, mark

##### Parkfield filenames
#    pkd = mod_data.Parkfield()
#    pkd.events = '/home/richter/Data/events/events_30-90_mag5.5_Parkfield.txt'
#    pkd.rf_events = pkd.data + '/receiver/events30-90/%s_%s'
#    pkd.rf_results = pkd.results + '/receiver/results/%s_%s'
#    pkd.rf_results_dir = pkd.results + '/receiver/results/'
#    pkd.rf_events = pkd.data + '/receiver/events30-90_mag5.5/%s_%s'
#    pkd.rf_results = pkd.results + '/receiver/results_mag5.5/%s_%s'
#    pkd.rf_results_dir = pkd.results + '/receiver/results_mag5.5/'
#    pkd.rf_plot_dir = pkd.rf_results_dir + 'plots/'

##### IPOC filenames
    ipoc = mod_data.IPOC()
    ipoc.events = '/home/richter/Data/events/2012_03_events_27-93_mag5.5_IPOC.txt'
    ipoc.rf_events = ipoc.data + '/receiver/2012_events_mag5.5/%s_%s'
    ipoc.rf_results = ipoc.results + '/receiver/2012_mag5.5_RT/%s_%s'
    ipoc.rf_results_dir = ipoc.results + '/receiver/2012_mag5.5_RT/'
    ipoc.rf_plot_dir = ipoc.rf_results_dir + 'plots/'

##### EventPicker
#    data=pkd
#    pick_events()
#    data.events = '/home/richter/Data/events/events_90-160_mag5.5_Parkfield.txt'
#    data.rf_events = data.data + '/receiver/events90-160_mag5.5/%s_%s'
#    pick_events(window = (-100,400), phase = 'PP')

    data = ipoc
#    data.stations.pick('LVC')
#    events2 = events.Events.read(data.events)
#    events2.pick(after='2012-01-01')
#    data.events = events2
    #pick_events()

#    data.events = '/home/richter/Data/events/events_90-160_mag5.5_IPOC.txt'
#    data.rf_events = data.data + '/receiver/events90-160_mag5.5/%s_%s'
#    pick_events(window = (-100,400), phase = 'PP')


##### Constrain events
    #from sito import Events
    #data.events = Events.read(data.events)
    #data.events.pick(after='2010-01-01')


##### Calculating RFs
#    logging.basicConfig()
#    data=pkd
#    plotdir = data.rf_plot_dir
#    util.checkDir(plotdir)
#    calculate_rf()
#    mout()
##    produce_event_files('PKD')
#    create_rf_plots(years=range(1996, 2011))
#
##    create_interval_plot('225<=st.azi<=265.7')
##    time_binned('PKD', 1996.75, 2011.25, 0.5,'225<=st.azi<=265.7')
#
#    # IPOC
    logging.basicConfig()
    data = ipoc
    plotdir = data.rf_plot_dir
    util.checkDir(plotdir)
    calculate_rf(rotateLQT=False)
    mout()
    #mout('LVC')
#    produce_event_files('PB02')
    ###create_rf_plots(components='LQT')  # Do not use!
    create_rf_plots(components='ZRT')
Пример #10
0
        if len(stream) == 0:
            continue
        if USE_TWS_AFTER_SW:
            dist = data.stations.dist(correlation[0][:-1], correlation[1][:-1])
            if dist > 550:
                continue
            direct = int(round(dist / 3.))
            tws = (((-direct - 30 - 80, direct + 30), 80),)
        stream.trim2(-trim_stream, trim_stream, 'middle')
        stretches = None
        if reftr:
            stretches = []
            for tw in tws[i][0]:
                if tw <= border_time:
                    npzfile = np.load(fit_file % (getCor(*correlation), tw))
                stretches.append(-npzfile['sinus_exp'])
        result = stream.stretch(reftr=reftr, stretch=stretches, str_range=str_range, nstr=nstr, time_windows=tws[i], sides='right')
        if period == 24 * 3600:
            dates = [(time + 12 * 3600).toordinal() for time in stream.getHI('starttime')]
        else:
            def get_ord(time):
                day = (time + period / 2)
                day = day.toordinal() + 1.*day.hour / 24 + 1.*day.minute / 24 / 60 + 1.*day.second / 24 / 3600
                return day
            dates = [get_ord(time) for time in stream.getHI('starttime')]
        dates = _correct_dates(dates)
        print np.array([dates[j + 1] - dates[j] for j in range(len(dates) - 1)])
        checkDir(path + 'bla')
        np.savez(path + 'data_stretching_%s%s%s%s' % (getCor(*correlation), getFilter(filters[i]), getStack(None, period, stack), add_to_file), tw_start=tws[i][0], tw_width=tws[i][1], dates=dates, **result)  #corr=corr, stretch=stretch)