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Add finish_picking which transfers all results into the correct format in PickingResults

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This function is called whether picking succeeded or failed. If it failed, it will put the default initialized values into the result. If picking succeeded, the default values will have been overwritten with the results during picking.
This commit is contained in:
Darius Arnold 2018-06-19 19:02:25 +02:00
parent e3f7840d9e
commit 675052975a
1 changed files with 69 additions and 0 deletions
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69
pylot/core/pick/autopick.py
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@ -399,6 +399,75 @@ class AutopickStation(object):
except MissingTraceException as mte: except MissingTraceException as mte:
print(mte) print(mte)
return return
def finish_picking(self):
# calculate "real" onset times, save them in PickingResults
if self.p_results.lpickP is not None and self.p_results.lpickP == self.p_results.mpickP:
self.p_results.lpickP += self.ztrace.stats.delta
if self.p_results.epickP is not None and self.p_results.epickP == self.p_results.mpickP:
self.p_results.epickP -= self.ztrace.stats.delta
if self.p_results.mpickP is not None and self.p_results.epickP is not None and self.p_results.lpickP is not None:
lpickP = self.ztrace.stats.starttime + self.p_results.lpickP
epickP = self.ztrace.stats.starttime + self.p_results.epickP
mpickP = self.ztrace.stats.starttime + self.p_results.mpickP
else:
# dummy values (start of seismic trace) in order to derive
# theoretical onset times for iterative picking
lpickP = self.ztrace.stats.starttime + self.p_params.timeerrorsP[3]
epickP = self.ztrace.stats.starttime - self.p_params.timeerrorsP[3]
mpickP = self.ztrace.stats.starttime
# add picking results to PickingResults instance
self.p_results.channel = self.ztrace.stats.channel
self.p_results.network = self.ztrace.stats.network
self.p_results.lpp = lpickP
self.p_results.epp = epickP
self.p_results.mpp = mpickP
self.p_results.snrdb = self.p_results.SNRPdB
self.p_results.snr = self.p_results.SNRP
self.p_results.marked = self.p_results.Pmarker # TODO add equal implementation as in old function
self.p_results.weight = self.p_results.Pweight
self.p_results.fm = self.p_results.FM
self.p_results.spe = self.p_results.Perror
self.p_results.Mo = None # TODO what is this parameter for?
#
# S results
#
if self.etrace:
hdat = self.etrace
elif self.ntrace:
hdat = self.ntrace
# TODO picks are calculated with stats from E trace if it exists, otherwise stats from N trace is used.
# What if the stats are different?
if self.s_results.lpickS is not None and self.s_results.lpickS == self.s_results.mpickS:
self.s_results.lpickS += hdat.stats.delta
if self.s_results.epickS is not None and self.s_results.epickS == self.s_results.mpickS:
self.s_results.epickS -= hdat.stats.delta
if self.s_results.mpickS is not None and self.s_results.epickS is not None and self.s_results.lpickS is not None:
lpickS = hdat.stats.starttime + self.s_results.lpickS
epickS = hdat.stats.starttime + self.s_results.epickS
mpickS = hdat.stats.starttime + self.s_results.mpickS
else:
# dummy values (start of seismic trace) in order to derive
# theoretical onset times for iteratve picking
lpickS = hdat.stats.starttime + self.s_params.timeerrorsS[3]
epickS = hdat.stats.starttime - self.s_params.timeerrorsS[3]
mpickS = hdat.stats.starttime
self.s_results.channel = self.etrace.stats.channel
self.s_results.network = self.etrace.stats.network
self.s_results.lpp = lpickS
self.s_results.epp = epickS
self.s_results.mpp = mpickS
self.s_results.spe = self.s_results.Serror
self.s_results.snr = self.s_results.SNRS
self.s_results.snrdb = self.s_results.SNRSdB
self.s_results.weight = self.s_results.Sweight
self.s_results.fm = None
self.s_results.picker='auto'
self.s_results.Ao = None
def pick_p_phase(self): def pick_p_phase(self):
""" """