diff --git a/pylot/core/pick/autopick.py b/pylot/core/pick/autopick.py index 2e19bd93..4fd64013 100644 --- a/pylot/core/pick/autopick.py +++ b/pylot/core/pick/autopick.py @@ -239,9 +239,9 @@ class AutopickStation(object): :rtype: (PickingParameters, PickingParameters, PickingParameters, PickingParameters) """ # Define names of all parameters in different groups - p_parameter_names = 'algoP pstart pstop use_taup taup_model tlta tsnrz hosorder bpz1 bpz2 pickwinP aictsmooth tsmoothP ausP nfacP tpred1z tdet1z Parorder addnoise Precalcwin minAICPslope minAICPSNR timeerrorsP checkwindowP minfactorP'.split( + p_parameter_names = 'algoP pstart pstop use_taup taup_model tlta tsnrz hosorder bpz1 bpz2 pickwinP aictsmooth tsmoothP ausP nfacP tpred1z tdet1z Parorder addnoise Precalcwin minAICPslope minAICPSNR timeerrorsP'.split( ' ') - s_parameter_names = 'algoS sstart sstop bph1 bph2 tsnrh pickwinS tpred1h tdet1h tpred2h tdet2h Sarorder aictsmoothS tsmoothS ausS minAICSslope minAICSSNR Srecalcwin nfacS timeerrorsS zfac checkwindowS minfactorS'.split( + s_parameter_names = 'algoS sstart sstop bph1 bph2 tsnrh pickwinS tpred1h tdet1h tpred2h tdet2h Sarorder aictsmoothS tsmoothS ausS minAICSslope minAICSSNR Srecalcwin nfacS timeerrorsS zfac'.split( ' ') first_motion_names = 'minFMSNR fmpickwin minfmweight'.split(' ') signal_length_names = 'minsiglength minpercent noisefactor'.split(' ') @@ -436,8 +436,7 @@ class AutopickStation(object): # get preliminary onset time from AIC-CF fig, linecolor = get_fig_from_figdict(self.fig_dict, 'aicFig') aicpick = AICPicker(aiccf, self.p_params.tsnrz, self.p_params.pickwinP, self.iplot, - Tsmooth=self.p_params.aictsmooth, fig=fig, linecolor=linecolor, - checkwindow=self.p_params.checkwindowP, minfactor=self.p_params.minfactorP) + Tsmooth=self.p_params.aictsmooth, fig=fig, linecolor=linecolor) # add pstart and pstop to aic plot if fig: for ax in fig.axes: @@ -508,8 +507,7 @@ class AutopickStation(object): 'corrupted'.format(algoP=self.p_params.algoP) fig, linecolor = get_fig_from_figdict(self.fig_dict, 'refPpick') refPpick = PragPicker(cf2, self.p_params.tsnrz, self.p_params.pickwinP, self.iplot, self.p_params.ausP, - self.p_params.tsmoothP, aicpick.getpick(), fig, linecolor, - checkwindow=self.p_params.checkWindowP, minfactor=self.p_params.minfactorP) + self.p_params.tsmoothP, aicpick.getpick(), fig, linecolor) mpickP = refPpick.getpick() if mpickP is not None: # quality assessment, get earliest/latest pick and symmetrized uncertainty @@ -789,7 +787,7 @@ def autopickstation(wfstream, pickparam, verbose=False, fig = None linecolor = 'k' aicpick = AICPicker(aiccf, p_params['tsnrz'], p_params['pickwinP'], iplot, Tsmooth=p_params['aictsmooth'], - fig=fig, linecolor=linecolor, checkwindow=p_params['checkwindowP'], minfactor=p_params['minfactorP']) + fig=fig, linecolor=linecolor) # add pstart and pstop to aic plot if fig: for ax in fig.axes: @@ -1075,7 +1073,7 @@ def autopickstation(wfstream, pickparam, verbose=False, fig = None linecolor = 'k' aicarhpick = AICPicker(haiccf, s_params['tsnrh'], s_params['pickwinS'], iplot, None, - s_params['aictsmoothS'], fig=fig, linecolor=linecolor, checkwindow=s_params['checkwindowS'], minfactor=s_params['minfactorS']) + s_params['aictsmoothS'], fig=fig, linecolor=linecolor) ############################################################### # go on with processing if AIC onset passes quality control slope = aicarhpick.getSlope()