#@brief jobOption to create clusters for the "Crakow" Pi0 Finder.
#
# Use cell container created by TauRecCoreBuilder as an input.
################################################################################
from CaloRec.CaloRecConf import CaloTopoClusterMaker, CaloTopoClusterSplitter, CaloClusterMomentsMaker, CaloClusterMaker, CaloCell2ClusterMapper
from CaloRec.CaloTopoClusterFlags import jobproperties
from AthenaCommon.SystemOfUnits import deg, GeV, MeV
from AthenaCommon.AlgSequence import AlgSequence
from AthenaCommon.GlobalFlags import globalflags
from CaloTools.CaloNoiseToolDefault import CaloNoiseToolDefault
theCaloNoiseTool = CaloNoiseToolDefault()
from AthenaCommon.AppMgr import ToolSvc
ToolSvc += theCaloNoiseTool
TopoClusterForTaus = CaloTopoClusterMaker("TopoClusterForTaus")
TopoClusterForTaus.CellsNames = ["TauCells"]
#TopoClusterForTaus.OutputLevel=2
TopoClusterForTaus.CalorimeterNames = ["LAREM"]
TopoClusterForTaus.SeedSamplingNames = [
"PreSamplerB", "EMB1", "EMB2", "PreSamplerE", "EME1", "EME2"
]
TopoClusterForTaus.CaloNoiseTool = theCaloNoiseTool
TopoClusterForTaus.UseCaloNoiseTool = True
TopoClusterForTaus.UsePileUpNoise = True
TopoClusterForTaus.NeighborOption = "super3D"
TopoClusterForTaus.RestrictHECIWandFCalNeighbors = False
TopoClusterForTaus.CellThresholdOnEorAbsEinSigma = 0.0
TopoClusterForTaus.NeighborThresholdOnEorAbsEinSigma = 2.0
TopoClusterForTaus.SeedThresholdOnEorAbsEinSigma = 4.0
# 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
# maker tools
TopoClusterForTaus = CaloTopoClusterMaker("TauPi0TopoClusterMaker")
TopoClusterForTaus.CellsName = "TauCommonPi0Cells"
TopoClusterForTaus.CalorimeterNames = ["LAREM"]
TopoClusterForTaus.SeedSamplingNames = [
"PreSamplerB",
"EMB1",
"EMB2", # Do we want to use EMB3?
"PreSamplerE",
"EME1",
"EME2" # Do we want to use EME3?
]
TopoClusterForTaus.CaloNoiseTool = theCaloNoiseTool
TopoClusterForTaus.UseCaloNoiseTool = True
TopoClusterForTaus.UsePileUpNoise = True
TopoClusterForTaus.NeighborOption = "super3D"
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
LockVariables.LockedSamplingVariables += ["Energy", "Max_Energy"]
if jobproperties.CaloTopoClusterFlags.lockTopoClusterSamplingVariables(
):
LockVariables.LockedSamplingVariables += [
"Eta", "Phi", "Delta_Eta", "Delta_Phi", "Max_Eta", "Max_Phi"
]
if Rel17Style:
if jobproperties.CaloTopoClusterFlags.printTopoClusters():
PrintCaloCluster = CaloClusterPrinter("PrintCaloCluster")
PrintCaloCluster.PrintFirstOnly = True
PrintCaloCluster.PrintFrequency = 1
PrintCaloCluster.EnergyUnit = 1.0 * GeV
# maker tools
TileTopoMaker = CaloTopoClusterMaker("TileTopoMaker")
TileTopoMaker.CellsName = "AllCalo"
TileTopoMaker.CalorimeterNames = ["TILE"]
# cells from the following samplings will be able to form
# seeds. By default no sampling is excluded
TileTopoMaker.SeedSamplingNames = [
"TileBar0", "TileBar1", "TileBar2", "TileExt0", "TileExt1", "TileExt2",
"TileGap1", "TileGap2", "TileGap3"
]
TileTopoMaker.CaloNoiseTool = theCaloNoiseTool
#TileTopoMaker.NoiseSigma= 1.68 / 1023 / 64 * 800 * 1.414214 * GeV
TileTopoMaker.UseCaloNoiseTool = True
TileTopoMaker.UsePileUpNoise = True
TileTopoMaker.NeighborOption = "super3D"
TileTopoMaker.RestrictHECIWandFCalNeighbors = False
include("RecExCommon/RecExCommon_flags.py")
from CaloRec.CaloTopoClusterFlags import jobproperties
jobproperties.CaloTopoClusterFlags.doTopoClusterLocalCalib.set_Value(True)
# switch off useless detectors
DetFlags.ID_setOff()
DetFlags.Muon_setOff()
jobproperties.Global.DetDescrVersion = THE_GEOMETRY[0]
include("RecExCommon/RecExCommon_topOptions.py")
EventSelector.InputCollections = ["Dig.pool.root"]
from CaloRec.CaloRecConf import CaloTopoClusterMaker, CaloTopoClusterSplitter
TopoMaker = CaloTopoClusterMaker("TopoMaker")
TopoMaker.NeighborThresholdOnEorAbsEinSigma = -1
TopoMaker.SeedThresholdOnEorAbsEinSigma = -1
TopoSplitter = CaloTopoClusterSplitter("TopoSplitter")
TopoSplitter.EnergyCut = 100 * GeV
TopoSplitter.ShareBorderCells = False
theCBNT_CaloClusterTopo = CBNTAA_CaloCluster("CBNT_CaloClusterTopo")
theCBNT_CaloClusterTopo.AddCellDetails = TRUE
theCBNT_CaloClusterTopo.MaxCell = 200000
theCBNT_CaloClusterTopo.Suffix = "_topo"
theCBNT_CaloClusterTopo.UseLink = 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
# maker tools
HadTopoMaker = CaloTopoClusterMaker("HadTopoMaker")
HadTopoMaker.CellsNames = ["AllCalo"]
HadTopoMaker.CalorimeterNames = ["TILE", "LARHEC"]
# cells from the following samplings will be able to form
# seeds. By default no sampling is excluded
HadTopoMaker.SeedSamplingNames = [
"TileBar0", "TileBar1", "TileBar2", "TileExt0", "TileExt1", "TileExt2",
"HEC0", "HEC1", "HEC2", "HEC3", "TileGap1", "TileGap2", "TileGap3"
]
HadTopoMaker.CaloNoiseTool = theCaloNoiseTool
HadTopoMaker.NoiseSigma = 1.68 / 1023 / 64 * 800 * 1.414214 * GeV
#HadTopoMaker.UseCaloNoiseTool=False
HadTopoMaker.UseCaloNoiseTool = True
HadTopoMaker.UsePileUpNoise = False
HadTopoMaker.NeighborOption = "super3D"