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remove all usage of checkwindowP/S and minfactorP/S

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Those changes have their own branch now, the parameters were not used during picking on this branch.
This commit is contained in:
Darius Arnold 2018-05-29 21:28:32 +02:00
parent 8d931fa97a
commit b0749e0ddc
1 changed files with 6 additions and 8 deletions
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14
pylot/core/pick/autopick.py
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@ -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()