def configure(self):
# Make a logger.
clsname = self.__class__.__name__
mlog = logging.getLogger('%s.configure' % clsname)
input_getter = self.getInputGetter(self._inputGetter)
# Create the configurable.
try:
maker = make_CaloClusterMaker (\
self._name,
self._outputKey,
maker_tools = self.makeMakerTools (input_getter.outputKey()),
correction_tools = self.makeCorrectionTools ())
except Exception:
mlog.error("could not construct CaloClusterMaker Quit")
print(traceback.format_exc())
return False
self._handle = maker
objKeyStore.addManyTypesTransient(self.output())
if self._towrite:
# register output in objKeyStore
# write everything in ESD
# 2014-01-15 W.L. Remove objs from output streams b/c of xAOD migration
#objKeyStore.addManyTypesStreamESD(self.output())
## only write cluster class in AOD but not the LArClusterEM (only the eg one goes)
#if not self.outputKey().startswith("LArClusterEM"):
# objKeyStore.addStreamAOD(self.outputType(),self.outputKey())
pass
self.seq += maker
return True
def recordMuonCreatorAlgObjs(kw):
Alg = CfgMgr.MuonCreatorAlg
def val(prop):
d = kw.get(prop)
if d == None:
d = Alg.__dict__[prop].default
return d
objs = {
'xAOD::MuonContainer':
val('MuonContainerLocation'),
'xAOD::TrackParticleContainer':
(val('CombinedLocation') + 'TrackParticles',
val('ExtrapolatedLocation') + 'TrackParticles',
val('MSOnlyExtrapolatedLocation') + 'TrackParticles'),
'xAOD::MuonSegmentContainer':
val('SegmentContainerName'),
}
if val('BuildSlowMuon'):
objs['xAOD::SlowMuonContainer'] = val('SlowMuonContainerLocation')
if val('MakeClusters'):
objs['CaloClusterCellLinkContainer'] = val(
'CaloClusterCellLinkName') + '_links'
objs['xAOD::CaloClusterContainer'] = val('ClusterContainerName')
from RecExConfig.ObjKeyStore import objKeyStore
objKeyStore.addManyTypesTransient(objs)
return
def configure(self):
mlog = logging.getLogger('CaloClusterTopoFromTowerGetter::configure :')
mlog.info('scheduled to output %s', self._output)
if not self._status['Initialize']:
mlog.error('module is disabled due to initialization problems')
return False
# get handle to upstream object
theCaloCellGetter = self.getInputGetter(
jp.CaloRecFlags.clusterCellGetterName())
cellContKey = theCaloCellGetter.outputKey()
# configure cluster maker
TopoBuilder = CaloTopoClusterFromTowerMaker(
jobproperties.CaloTopoClusterFromTowerFlags.towerConverterName.
get_Value(),
CaloTowerContainerKey=jobproperties.CaloTopoClusterFromTowerFlags.
inputTowerContainerKey.get_Value(),
CaloCellContainerKey=cellContKey,
OrderClusterByPt=jobproperties.CaloTopoClusterFromTowerFlags.
orderByPt.get_Value())
# moment makers
TopoMoments = CaloClusterMomentsMaker("TopoMoments")
TopoMoments.MaxAxisAngle = 20 * deg
TopoMoments.CaloNoiseTool = theCaloNoiseTool
TopoMoments.UsePileUpNoise = True
TopoMoments.TwoGaussianNoise = jobproperties.CaloTopoClusterFlags.doTwoGaussianNoise(
)
TopoMoments.MinBadLArQuality = 4000
TopoMoments.MomentsNames = [
"AVG_LAR_Q", "AVG_TILE_Q", "BAD_CELLS_CORR_E", "BADLARQ_FRAC",
"CELL_SIGNIFICANCE", "CELL_SIG_SAMPLING", "CENTER_LAMBDA",
"CENTER_MAG", "CENTER_X", "CENTER_Y", "CENTER_Z", "DELTA_ALPHA",
"DELTA_PHI", "DELTA_THETA", "ENG_BAD_CELLS", "ENG_FRAC_CORE",
"ENG_FRAC_EM", "ENG_FRAC_MAX", "ENG_POS", "FIRST_ENG_DENS",
"FIRST_ETA", "FIRST_PHI", "ISOLATION", "LATERAL", "LONGITUDINAL",
"MASS", "N_BAD_CELLS", "N_BAD_CELLS_CORR", "PTD",
"SECOND_ENG_DENS", "SECOND_LAMBDA", "SECOND_R", "SIGNIFICANCE"
]
# only add HV related moments if it is offline.
from IOVDbSvc.CondDB import conddb
if not conddb.isOnline:
from LArRecUtils.LArHVScaleRetrieverDefault import LArHVScaleRetrieverDefault
TopoMoments.LArHVScaleRetriever = LArHVScaleRetrieverDefault()
TopoMoments.MomentsNames += ["ENG_BAD_HV_CELLS", "N_BAD_HV_CELLS"]
# cluster maker
CaloTopoCluster = CaloClusterMaker(
jobproperties.CaloTopoClusterFromTowerFlags.clusterMakerName.
get_Value())
mlog.info('instantiated CaloClusterMaker "{0}"'.format(
CaloTopoCluster.name()))
CaloTopoCluster.ClustersOutputName = self._output[self._outputType]
CaloTopoCluster.ClusterMakerTools = [TopoBuilder]
# bad cell corrections
from CaloClusterCorrection.CaloClusterBadChannelListCorr import CaloClusterBadChannelListCorr
BadChannelListCorr = CaloClusterBadChannelListCorr()
# Correction tools
CaloTopoCluster.ClusterCorrectionTools += [BadChannelListCorr]
CaloTopoCluster.ClusterCorrectionTools += [TopoMoments]
# configuring the algorithm
CaloTopoCluster += TopoBuilder
CaloTopoCluster += BadChannelListCorr
CaloTopoCluster += TopoMoments
objKeyStore.addManyTypesTransient(self.output())
mlog.info('add output %s', self.output())
# only write main object in AOD
# 2014-01-15 W.L. Remove objs from output streams b/c of xAOD migration
#objKeyStore.addStreamESD(self.outputType(),self.outputKey())
#objKeyStore.addStreamESD("CaloShowerContainer",self.outputKey()+"_Data")
#objKeyStore.addStreamESD("CaloCellLinkContainer",self.outputKey()+"_Link")
#objKeyStore.addStreamAOD(self.outputType(),self.outputKey())
from AthenaCommon.AlgSequence import AlgSequence
topSequence = AlgSequence()
topSequence += CaloTopoCluster
self._handle = CaloTopoCluster
return True
def configure(self):
mlog = logging.getLogger('TauCoreBuilder.py::configure:')
mlog.info('entering')
from RecExConfig.RecFlags import rec
from RecExConfig.ObjKeyStore import objKeyStore
objKeyStore.addManyTypesStreamESD(self._output)
objKeyStore.addManyTypesStreamAOD(self._output)
objKeyStore.addManyTypesTransient(self._output)
import tauRec.TauAlgorithmsHolder as taualgs
from tauRec.tauRecFlags import tauFlags
#switch off TJVA if jet reco don't use tracks.
from JetRec.JetRecFlags import jetFlags
if not tauFlags.isStandalone() and not jetFlags.useTracks():
self.do_TJVA = False # switch off TJVA
tools = []
try:
tools.append(taualgs.getJetSeedBuilder())
# run vertex finder only in case vertexing is available. This check can also be done in TauAlgorithmsHolder instead doing it here.
from InDetRecExample.InDetJobProperties import InDetFlags
from tauRec.tauRecFlags import jobproperties
doMVATrackClassification = jobproperties.tauRecFlags.tauRecMVATrackClassification(
)
doRNNTrackClassification = jobproperties.tauRecFlags.tauRecRNNTrackClassification(
)
if tauFlags.isStandalone() or InDetFlags.doVertexFinding():
tools.append(
taualgs.getTauVertexFinder(doUseTJVA=self.do_TJVA))
tools.append(taualgs.getTauAxis())
tools.append(
taualgs.getTauTrackFinder(
removeDuplicateTracks=(not doMVATrackClassification)))
if doMVATrackClassification:
tools.append(taualgs.getTauTrackClassifier())
if not doMVATrackClassification and doRNNTrackClassification:
tools.append(taualgs.getTauTrackRNNClassifier())
if jobproperties.Beam.beamType() != "cosmics":
tools.append(
taualgs.getEnergyCalibrationLC(correctEnergy=True,
correctAxis=False,
postfix='_onlyEnergy'))
tools.append(taualgs.getCellVariables())
tools.append(taualgs.getElectronVetoVars())
tools.append(taualgs.getTauShotFinder())
if self.doPi0Clus:
tools.append(taualgs.getPi0ClusterFinder())
from tauRec.tauRecFlags import tauFlags
tools += tauFlags.tauRecToolsDevToolList()
except Exception:
mlog.error("could not append tools to TauBuilder")
traceback.print_exc()
return False
# run first part of Tau Builder
TauRecConfigured.WrapTauRecToolExecHandle(self, tool=tools)
return True
def configure(self):
mlog = logging.getLogger('CaloClusterTopoGetter::configure :')
mlog.info('scheduled to output %s', self.output())
# get handle to upstream object
theCaloCellGetter = self.getInputGetter\
(jp.CaloRecFlags.clusterCellGetterName())
# configure cell weight calibration
if jobproperties.CaloTopoClusterFlags.doCellWeightCalib():
from CaloClusterCorrection.CaloClusterCorrectionConf import H1WeightToolCSC12Generic
from CaloClusterCorrection.StandardCellWeightCalib import H1Calibration, getCellWeightTool
CellWeights = CaloClusterCellWeightCalib("CellWeights")
# -- configure weight tool
finder = jobproperties.CaloTopoClusterFlags.cellWeightRefFinder.get_Value(
)
size = jobproperties.CaloTopoClusterFlags.cellWeightRefSize.get_Value(
)
signal = jobproperties.CaloTopoClusterFlags.cellWeightRefSignal.get_Value(
)
WeightTool = getCellWeightTool(finder, size, signal)
# -- connect weight tool
CellWeights.CellSignalWeightTool = WeightTool
CellWeights += WeightTool
#-- default properties
CellWeights.Direction = "AbsSignal" #-- use absolute cell energies for eta/phi calculation
CellWeights.BelowThresholdLikeAll = True #-- treat clusters below thresholds the same as all others
CellWeights.BelowThresholdDirection = "AbsSignal" #-- alternative direction calculation for below threshold clusters,
# ignored if BelowThresholdLikeAll = True
CellWeights.EnergyThreshold = 0.0 * MeV #-- threshold for possible change of direction calculation
CellWeights.IgnoreGeoWeights = False #-- ignore geometrical cell signal weights if True
# now configure local hadronic calibration
if jobproperties.CaloTopoClusterFlags.doTopoClusterLocalCalib():
# tools used by tools
# EMFrac = EMFracClusterClassificationTool("EMFrac")
# EMFrac.ClassificationKey = "EMFracClassify"
# EMFrac.UseEMFractionSpread = False
# EMFrac.MaxEMFraction = 0.5
#
# H1Weight = H1ClusterCellWeightTool("H1Weight")
# H1Weight.CorrectionKey = "H1ClusterCellWeights"
# H1Weight.SignalOverNoiseCut = 2.0
# H1Weight.CaloNoiseTool = theCaloNoiseTool
#
# OOCC = OutOfClusterCorrectionTool("OOCC")
# OOCC.CorrectionKey = "OOCCorrection"
#
# OOCCPi0 = OutOfClusterCorrectionTool("OOCCPi0")
# OOCCPi0.CorrectionKey = "OOCPi0Correction"
# tools used by tools
LCClassify = CaloLCClassificationTool("LCClassify")
LCClassify.ClassificationKey = "EMFracClassify"
LCClassify.UseSpread = False
LCClassify.MaxProbability = 0.5
# add the moments EM_PROBABILITY, HAD_WEIGHT, OOC_WEIGHT, DM_WEIGHT to the AOD:
LCClassify.StoreClassificationProbabilityInAOD = True
LCClassify.WeightingOfNegClusters = jobproperties.CaloTopoClusterFlags.doTreatEnergyCutAsAbsolute(
)
LCWeight = CaloLCWeightTool("LCWeight")
LCWeight.CorrectionKey = "H1ClusterCellWeights"
LCWeight.SignalOverNoiseCut = 2.0
LCWeight.CaloNoiseTool = theCaloNoiseTool
LCWeight.UseHadProbability = True
LCOut = CaloLCOutOfClusterTool("LCOut")
LCOut.CorrectionKey = "OOCCorrection"
LCOut.UseEmProbability = False
LCOut.UseHadProbability = True
LCOutPi0 = CaloLCOutOfClusterTool("LCOutPi0")
LCOutPi0.CorrectionKey = "OOCPi0Correction"
LCOutPi0.UseEmProbability = True
LCOutPi0.UseHadProbability = False
#DMTool = DeadMaterialCorrectionTool2("DMTool")
#DMTool.HadDMCoeffKey = "HadDMCoeff2"
#DMTool.SignalOverNoiseCut = 1.0
#DMTool.ClusterRecoStatus = 0
#DMTool.WeightModeDM = 2
#DMTool.CaloNoiseTool = theCaloNoiseTool
LCDeadMaterial = CaloLCDeadMaterialTool("LCDeadMaterial")
LCDeadMaterial.HadDMCoeffKey = "HadDMCoeff2"
LCDeadMaterial.ClusterRecoStatus = 0
LCDeadMaterial.WeightModeDM = 2
LCDeadMaterial.UseHadProbability = True
LCDeadMaterial.WeightingOfNegClusters = jobproperties.CaloTopoClusterFlags.doTreatEnergyCutAsAbsolute(
)
# correction tools using tools
LocalCalib = CaloClusterLocalCalib("LocalCalib")
LocalCalib.ClusterClassificationTool = [LCClassify]
#LocalCalib.ClusterRecoStatus = [2]
LocalCalib.ClusterRecoStatus = [1, 2]
LocalCalib.LocalCalibTools = [LCWeight]
LocalCalib.WeightingOfNegClusters = jobproperties.CaloTopoClusterFlags.doTreatEnergyCutAsAbsolute(
)
LocalCalib += LCClassify
LocalCalib += LCWeight
OOCCalib = CaloClusterLocalCalib("OOCCalib")
#OOCCalib.ClusterRecoStatus = [2]
OOCCalib.ClusterRecoStatus = [1, 2]
OOCCalib.LocalCalibTools = [LCOut]
OOCCalib.WeightingOfNegClusters = jobproperties.CaloTopoClusterFlags.doTreatEnergyCutAsAbsolute(
)
OOCCalib += LCOut
OOCPi0Calib = CaloClusterLocalCalib("OOCPi0Calib")
#OOCPi0Calib.ClusterRecoStatus = [1]
OOCPi0Calib.ClusterRecoStatus = [1, 2]
OOCPi0Calib.LocalCalibTools = [LCOutPi0]
OOCPi0Calib.WeightingOfNegClusters = jobproperties.CaloTopoClusterFlags.doTreatEnergyCutAsAbsolute(
)
OOCPi0Calib += LCOutPi0
DMCalib = CaloClusterLocalCalib("DMCalib")
DMCalib.ClusterRecoStatus = [1, 2]
#DMCalib.LocalCalibToolNames = [DMTool.getFullName()]
#DMCalib += DMTool
DMCalib.LocalCalibTools = [LCDeadMaterial]
DMCalib.WeightingOfNegClusters = jobproperties.CaloTopoClusterFlags.doTreatEnergyCutAsAbsolute(
)
DMCalib += LCDeadMaterial
# correction tools not using tools
TopoMoments = CaloClusterMomentsMaker("TopoMoments")
TopoMoments.WeightingOfNegClusters = jobproperties.CaloTopoClusterFlags.doTreatEnergyCutAsAbsolute(
)
TopoMoments.MaxAxisAngle = 20 * deg
TopoMoments.CaloNoiseTool = theCaloNoiseTool
TopoMoments.UsePileUpNoise = True
TopoMoments.TwoGaussianNoise = jobproperties.CaloTopoClusterFlags.doTwoGaussianNoise(
)
TopoMoments.MinBadLArQuality = 4000
TopoMoments.MomentsNames = [
"AVG_LAR_Q", "AVG_TILE_Q", "BAD_CELLS_CORR_E", "BADLARQ_FRAC",
"CELL_SIGNIFICANCE", "CELL_SIG_SAMPLING", "CENTER_LAMBDA",
"CENTER_MAG", "CENTER_X", "CENTER_Y", "CENTER_Z", "DELTA_ALPHA",
"DELTA_PHI", "DELTA_THETA", "ENG_BAD_CELLS", "ENG_FRAC_CORE",
"ENG_FRAC_EM", "ENG_FRAC_MAX", "ENG_POS", "FIRST_ENG_DENS",
"FIRST_ETA", "FIRST_PHI", "ISOLATION", "LATERAL", "LONGITUDINAL",
"MASS", "N_BAD_CELLS", "N_BAD_CELLS_CORR", "PTD",
"SECOND_ENG_DENS", "SECOND_LAMBDA", "SECOND_R", "SIGNIFICANCE"
]
doDigiTruthFlag = False
try:
from Digitization.DigitizationFlags import digitizationFlags
doDigiTruthFlag = digitizationFlags.doDigiTruth()
except:
log = logging.getLogger('CaloClusterTopoGetter')
log.info(
'Unable to import DigitizationFlags in CaloClusterTopoGetter. Expected in AthenaP1'
)
if doDigiTruthFlag:
TopoMoments_Truth = CaloClusterMomentsMaker_DigiHSTruth(
"TopoMoments_Truth")
TopoMoments_Truth.WeightingOfNegClusters = jobproperties.CaloTopoClusterFlags.doTreatEnergyCutAsAbsolute(
)
TopoMoments_Truth.MaxAxisAngle = 20 * deg
TopoMoments_Truth.CaloNoiseTool = theCaloNoiseTool
TopoMoments_Truth.UsePileUpNoise = True
TopoMoments_Truth.TwoGaussianNoise = jobproperties.CaloTopoClusterFlags.doTwoGaussianNoise(
)
TopoMoments_Truth.MinBadLArQuality = 4000
TopoMoments_Truth.MomentsNames = [
"FIRST_PHI_DigiHSTruth", "FIRST_ETA_DigiHSTruth",
"SECOND_R_DigiHSTruth", "SECOND_LAMBDA_DigiHSTruth",
"DELTA_PHI_DigiHSTruth", "DELTA_THETA_DigiHSTruth",
"DELTA_ALPHA_DigiHSTruth", "CENTER_X_DigiHSTruth",
"CENTER_Y_DigiHSTruth", "CENTER_Z_DigiHSTruth",
"CENTER_MAG_DigiHSTruth", "CENTER_LAMBDA_DigiHSTruth",
"LATERAL_DigiHSTruth", "LONGITUDINAL_DigiHSTruth",
"ENG_FRAC_CORE_DigiHSTruth", "FIRST_ENG_DENS_DigiHSTruth",
"SECOND_ENG_DENS_DigiHSTruth", "ISOLATION_DigiHSTruth",
"BAD_CELLS_CORR_E_DigiHSTruth", "ENG_POS_DigiHSTruth",
"SIGNIFICANCE_DigiHSTruth", "CELL_SIGNIFICANCE_DigiHSTruth",
"CELL_SIG_SAMPLING_DigiHSTruth", "AVG_LAR_Q_DigiHSTruth",
"AVG_TILE_Q_DigiHSTruth", "ENERGY_DigiHSTruth",
"PHI_DigiHSTruth", "ETA_DigiHSTruth"
]
# only add HV related moments if it is offline.
from IOVDbSvc.CondDB import conddb
if not conddb.isOnline:
from LArRecUtils.LArHVScaleRetrieverDefault import LArHVScaleRetrieverDefault
TopoMoments.LArHVScaleRetriever = LArHVScaleRetrieverDefault()
TopoMoments.MomentsNames += ["ENG_BAD_HV_CELLS", "N_BAD_HV_CELLS"]
# TopoMoments.AODMomentsNames = ["LATERAL"
# ,"LONGITUDINAL"
# ,"SECOND_R"
# ,"SECOND_LAMBDA"
# ,"CENTER_MAG"
# ,"CENTER_LAMBDA"
# ,"FIRST_ENG_DENS"
# ,"ENG_FRAC_MAX"
# ,"ISOLATION"
# ,"ENG_BAD_CELLS"
# ,"N_BAD_CELLS"
# ,"BADLARQ_FRAC"
# ,"ENG_POS"
# ,"SIGNIFICANCE"
# ,"CELL_SIGNIFICANCE"
# ,"CELL_SIG_SAMPLING"
# ,"AVG_LAR_Q"
# ,"AVG_TILE_Q"
# ]
#if jobproperties.CaloTopoClusterFlags.lockTopoClusterSamplingEnergies() or jobproperties.CaloTopoClusterFlags.lockTopoClusterSamplingVariables():
# LockVariables = CaloClusterLockVars("LockVariables")
# LockVariables.FixBasicEnergy = True
# LockVariables.LockedSamplingVariables = []
# if jobproperties.CaloTopoClusterFlags.lockTopoClusterSamplingEnergies():
# LockVariables.LockedSamplingVariables += [
# "Energy", "Max_Energy"]
# if jobproperties.CaloTopoClusterFlags.lockTopoClusterSamplingVariables():
# LockVariables.LockedSamplingVariables += [
# "Eta", "Phi", "Delta_Eta",
# "Delta_Phi", "Max_Eta", "Max_Phi"
# ]
#if jobproperties.CaloTopoClusterFlags.printTopoClusters():
# PrintCaloCluster = CaloClusterPrinter("PrintCaloCluster")
# PrintCaloCluster.PrintFirstOnly = True
# PrintCaloCluster.PrintFrequency = 1
# PrintCaloCluster.EnergyUnit = 1.0*GeV
theCaloClusterSnapshot = CaloClusterSnapshot(
OutputName="CaloTopoCluster", SetCrossLinks=True)
# maker tools
TopoMaker = CaloTopoClusterMaker("TopoMaker")
TopoMaker.CellsName = theCaloCellGetter.outputKey()
TopoMaker.CalorimeterNames = ["LAREM", "LARHEC", "LARFCAL", "TILE"]
# cells from the following samplings will be able to form
# seeds. By default no sampling is excluded
TopoMaker.SeedSamplingNames = [
"PreSamplerB", "EMB1", "EMB2", "EMB3", "PreSamplerE", "EME1",
"EME2", "EME3", "HEC0", "HEC1", "HEC2", "HEC3", "TileBar0",
"TileBar1", "TileBar2", "TileExt0", "TileExt1", "TileExt2",
"TileGap1", "TileGap2", "TileGap3", "FCAL0", "FCAL1", "FCAL2"
]
TopoMaker.CaloNoiseTool = theCaloNoiseTool
TopoMaker.UseCaloNoiseTool = True
TopoMaker.UsePileUpNoise = True
TopoMaker.NeighborOption = "super3D"
TopoMaker.RestrictHECIWandFCalNeighbors = False
TopoMaker.RestrictPSNeighbors = True
TopoMaker.CellThresholdOnEorAbsEinSigma = 0.0
TopoMaker.NeighborThresholdOnEorAbsEinSigma = 2.0
TopoMaker.SeedThresholdOnEorAbsEinSigma = 4.0
#timing
TopoMaker.SeedCutsInT = jobproperties.CaloTopoClusterFlags.doTimeCut()
# note E or AbsE
#
# the following property must be set to TRUE in order to make double
# sided cuts on the seed and the cluster level
#
TopoMaker.SeedCutsInAbsE = True
TopoMaker.ClusterEtorAbsEtCut = 0.0 * MeV
#
# note E or AbsE
#
# by default neighbor and cell thresholds are on AbsE. Set the following
# properties to FALSE in order to switch to cuts on E
#
#TopoMaker.NeighborCutsInAbsE = False
#TopoMaker.CellCutsInAbsE = False
# the following Et thresholds are ignored in case UsePileUpNoise
# is TRUE
#
#
# CellThresholdOnAbsEt = 0.0*MeV
# NeighborThresholdOnAbsEt = 100.0*MeV
# SeedThresholdOnEtorAbsEt = 200.0*MeV
# note Et or AbsEt
# use 2-gaussian or single gaussian noise for TileCal
TopoMaker.TwoGaussianNoise = jobproperties.CaloTopoClusterFlags.doTwoGaussianNoise(
)
TopoSplitter = CaloTopoClusterSplitter("TopoSplitter")
# cells from the following samplings will be able to form local
# maxima. The excluded samplings are PreSamplerB, EMB1,
# PreSamplerE, EME1, all Tile samplings, all HEC samplings and the
# two rear FCal samplings.
#
TopoSplitter.SamplingNames = ["EMB2", "EMB3", "EME2", "EME3", "FCAL0"]
# cells from the following samplings will also be able to form
# local maxima but only if they are not overlapping in eta and phi
# with local maxima in previous samplings from the primary list.
#
TopoSplitter.SecondarySamplingNames = [
"EMB1", "EME1", "TileBar0", "TileBar1", "TileBar2", "TileExt0",
"TileExt1", "TileExt2", "HEC0", "HEC1", "HEC2", "HEC3", "FCAL1",
"FCAL2"
]
TopoSplitter.ShareBorderCells = True
TopoSplitter.RestrictHECIWandFCalNeighbors = False
TopoSplitter.WeightingOfNegClusters = jobproperties.CaloTopoClusterFlags.doTreatEnergyCutAsAbsolute(
)
#
# the following options are not set, since these are the default
# values
#
# NeighborOption = "super3D",
# NumberOfCellsCut = 4,
# EnergyCut = 500*MeV,
# cluster maker
CaloTopoCluster = CaloClusterMaker("CaloTopoCluster")
if jobproperties.CaloTopoClusterFlags.doTopoClusterLocalCalib():
CaloTopoCluster.ClustersOutputName = "CaloCalTopoClusters"
else:
CaloTopoCluster.ClustersOutputName = "CaloTopoCluster"
CaloTopoCluster.ClusterMakerTools = [TopoMaker, TopoSplitter]
from CaloClusterCorrection.CaloClusterBadChannelListCorr import CaloClusterBadChannelListCorr
BadChannelListCorr = CaloClusterBadChannelListCorr()
CaloTopoCluster.ClusterCorrectionTools += [BadChannelListCorr]
CaloTopoCluster.ClusterCorrectionTools += [TopoMoments]
if doDigiTruthFlag:
CaloTopoCluster.ClusterCorrectionTools += [TopoMoments_Truth]
CaloTopoCluster += TopoMaker
CaloTopoCluster += TopoSplitter
CaloTopoCluster += BadChannelListCorr
CaloTopoCluster += TopoMoments
if doDigiTruthFlag:
CaloTopoCluster += TopoMoments_Truth
if jobproperties.CaloTopoClusterFlags.doClusterVertexFraction():
from CaloTrackUtils.CaloTrackUtilsConf import CaloClusterVertexFractionMaker
MyCaloClusterVertexFractionMaker = CaloClusterVertexFractionMaker(
name="CaloClusterVertexFractionMaker",
VxContainerName="VxPrimaryCandidate",
dRMatchMax=0.17)
CaloTopoCluster.ClusterCorrectionTools += [
MyCaloClusterVertexFractionMaker
]
CaloTopoCluster += MyCaloClusterVertexFractionMaker
if jobproperties.CaloTopoClusterFlags.doCalibHitMoments(
) and rec.doTruth():
from CaloCalibHitRec.CaloCalibHitRecConf import CaloCalibClusterMomentsMaker2
TopoCalibMoments = CaloCalibClusterMomentsMaker2(
"TopoCalibMoments")
TopoCalibMoments.MomentsNames = [
"ENG_CALIB_TOT",
"ENG_CALIB_OUT_L"
#,"ENG_CALIB_OUT_M"
# ,"ENG_CALIB_OUT_T"
# ,"ENG_CALIB_DEAD_L"
# ,"ENG_CALIB_DEAD_M"
# ,"ENG_CALIB_DEAD_T"
,
"ENG_CALIB_EMB0",
"ENG_CALIB_EME0",
"ENG_CALIB_TILEG3",
"ENG_CALIB_DEAD_TOT",
"ENG_CALIB_DEAD_EMB0",
"ENG_CALIB_DEAD_TILE0",
"ENG_CALIB_DEAD_TILEG3",
"ENG_CALIB_DEAD_EME0",
"ENG_CALIB_DEAD_HEC0",
"ENG_CALIB_DEAD_FCAL",
"ENG_CALIB_DEAD_LEAKAGE",
"ENG_CALIB_DEAD_UNCLASS",
"ENG_CALIB_FRAC_EM",
"ENG_CALIB_FRAC_HAD",
"ENG_CALIB_FRAC_REST"
]
# TopoCalibMoments.AODMomentsNames = ["ENG_CALIB_TOT"
# ,"ENG_CALIB_OUT_L"
# #,"ENG_CALIB_OUT_M"
# # ,"ENG_CALIB_OUT_T"
# # ,"ENG_CALIB_DEAD_L"
# # ,"ENG_CALIB_DEAD_M"
# # ,"ENG_CALIB_DEAD_T"
# ,"ENG_CALIB_EMB0"
# ,"ENG_CALIB_EME0"
# ,"ENG_CALIB_TILEG3"
# ,"ENG_CALIB_DEAD_TOT"
# ,"ENG_CALIB_DEAD_EMB0"
# ,"ENG_CALIB_DEAD_TILE0"
# ,"ENG_CALIB_DEAD_TILEG3"
# ,"ENG_CALIB_DEAD_EME0"
# ,"ENG_CALIB_DEAD_HEC0"
# ,"ENG_CALIB_DEAD_FCAL"
# ,"ENG_CALIB_DEAD_LEAKAGE"
# ,"ENG_CALIB_DEAD_UNCLASS"
# ,"ENG_CALIB_FRAC_EM"
# ,"ENG_CALIB_FRAC_HAD"
# ,"ENG_CALIB_FRAC_REST"]
TopoCalibMoments.CalibrationHitContainerNames = [
"LArCalibrationHitInactive", "LArCalibrationHitActive",
"TileCalibHitActiveCell", "TileCalibHitInactiveCell"
]
TopoCalibMoments.DMCalibrationHitContainerNames = [
"LArCalibrationHitDeadMaterial", "TileCalibHitDeadMaterial"
]
CaloTopoCluster.ClusterCorrectionTools += [TopoCalibMoments]
CaloTopoCluster += TopoCalibMoments
#if jobproperties.CaloTopoClusterFlags.lockTopoClusterSamplingEnergies() or jobproperties.CaloTopoClusterFlags.lockTopoClusterSamplingVariables():
# CaloTopoCluster.ClusterCorrectionTools += [
# LockVariables.getFullName()]
# CaloTopoCluster += LockVariables
CaloTopoCluster.ClusterCorrectionTools += [theCaloClusterSnapshot]
CaloTopoCluster += theCaloClusterSnapshot
if jobproperties.CaloTopoClusterFlags.doCellWeightCalib():
CaloTopoCluster.ClusterCorrectionTools += [
CellWeights.getFullName()
]
CaloTopoCluster += CellWeights
if jobproperties.CaloTopoClusterFlags.doTopoClusterLocalCalib():
CaloTopoCluster.ClusterCorrectionTools += [
LocalCalib, OOCCalib, OOCPi0Calib, DMCalib
]
CaloTopoCluster += LocalCalib
CaloTopoCluster += OOCCalib
CaloTopoCluster += OOCPi0Calib
CaloTopoCluster += DMCalib
#
# pool/cool part
#
if jobproperties.CaloTopoClusterFlags.doTopoClusterLocalCalib():
from CaloRec import CaloClusterTopoCoolFolder
if globalflags.DetDescrVersion().startswith("Rome"):
CaloTopoCluster.LocalCalib.LCClassify.MaxProbability = 0.85
CaloTopoCluster.LocalCalib.LCClassify.UseNormalizedEnergyDensity = False
else:
CaloTopoCluster.LocalCalib.LCClassify.MaxProbability = 0.50
CaloTopoCluster.LocalCalib.LCClassify.UseNormalizedEnergyDensity = True
self._handle = CaloTopoCluster
objKeyStore.addManyTypesTransient(self.output())
# only write main object in AOD
# 2014-01-15 W.L. Remove objs from output streams b/c of xAOD migration
#objKeyStore.addStreamESD(self.outputType(),self.outputKey())
#objKeyStore.addStreamESD("CaloShowerContainer",self.outputKey()+"_Data")
#objKeyStore.addStreamESD("CaloCellLinkContainer",self.outputKey()+"_Link")
#objKeyStore.addStreamAOD(self.outputType(),self.outputKey())
from AthenaCommon.AlgSequence import AlgSequence
topSequence = AlgSequence()
topSequence += CaloTopoCluster
return True