def getTransform():
executorSet = set()
addRecoSubsteps(executorSet)
addDigitizationSubstep(executorSet)
# Sim + Digi - factor these out into an importable function in time
executorSet.add(
athenaExecutor(
name='TRtoHITS',
skeletonFile='SimuJobTransforms/skeleton.EVGENtoHIT_ISF.py',
substep='simTRIn',
tryDropAndReload=False,
perfMonFile='ntuple.pmon.gz',
inData=['EVNT_TR'],
outData=['HITS', 'NULL']))
executorSet.add(
athenaExecutor(
name='EVNTtoHITS',
skeletonFile='SimuJobTransforms/skeleton.EVGENtoHIT_ISF.py',
substep='sim',
tryDropAndReload=False,
perfMonFile='ntuple.pmon.gz',
inData=['NULL', 'EVNT'],
outData=['EVNT_TR', 'HITS', 'NULL']))
trf = transform(
executor=executorSet,
description=
'Full chain ATLAS transform with ISF simulation, digitisation'
' and reconstruction. Inputs can be EVNT, EVNT_TR, HITS, RDO, BS, ESD or AOD, with outputs of RDO, ESD, AOD or DPDs.'
' See https://twiki.cern.ch/twiki/bin/viewauth/Atlas/FullChainTf for more details.'
)
# Common arguments
addAthenaArguments(trf.parser)
addDetectorArguments(trf.parser)
addTriggerArguments(trf.parser)
# Reconstruction arguments and outputs (use the factorised 'do it all' function)
addAllRecoArgs(trf)
# Simulation and digitisation options
addCommonSimTrfArgs(trf.parser)
addCommonSimDigTrfArgs(trf.parser)
addCosmicsTrfArgs(trf.parser)
addBasicDigiArgs(trf.parser)
addSim_tfArgs(trf.parser)
addForwardDetTrfArgs(trf.parser)
addPileUpTrfArgs(trf.parser)
addCommonSimDigTrfArgs(trf.parser)
addTrackRecordArgs(trf.parser)
return trf
def addCommonSimulationArguments(parser):
from SimuJobTransforms.simTrfArgs import addCommonSimTrfArgs, addCosmicsTrfArgs, addTrackRecordArgs
addCommonSimTrfArgs(parser)
addCosmicsTrfArgs(parser)
addTrackRecordArgs(parser)
def getTransform():
executorSet = set()
addRecoSubsteps(executorSet)
# Sim + Digi - factor these out into an importable function in time
executorSet.add(
athenaExecutor(
name='EVNTtoRDO',
skeletonFile='FullChainTransforms/FastChainSkeleton.EVGENtoRDO.py',
substep='simdigi',
tryDropAndReload=False,
perfMonFile='ntuple.pmon.gz',
inData=['NULL', 'EVNT'],
outData=['RDO', 'NULL']))
# Overlay
from EventOverlayJobTransforms.overlayTransformUtils import addOverlay_PoolArguments
executorSet.add(
athenaExecutor(
name='OverlayPool',
skeletonFile='EventOverlayJobTransforms/skeleton.OverlayPool_tf.py',
substep='overlayPOOL',
tryDropAndReload=False,
perfMonFile='ntuple.pmon.gz',
inData=[('HITS', 'RDO_BKG')],
outData=['RDO', 'RDO_SGNL']))
trf = transform(
executor=executorSet,
description=
'Fast chain ATLAS transform with ISF simulation, digitisation'
' and reconstruction. Inputs can be EVNT, with outputs of RDO, ESD, AOD or DPDs.'
' See https://twiki.cern.ch/twiki/bin/viewauth/AtlasComputing/FastChainTf for more details.'
)
# Common arguments
addAthenaArguments(trf.parser)
addDetectorArguments(trf.parser)
addTriggerArguments(trf.parser)
# Reconstruction arguments and outputs (use the factorised 'do it all' function)
addAllRecoArgs(trf)
# Simulation and digitisation options
addCommonSimTrfArgs(trf.parser)
addCommonSimDigTrfArgs(trf.parser)
addBasicDigiArgs(trf.parser)
addSim_tfArgs(trf.parser)
# addForwardDetTrfArgs(trf.parser)
addPileUpTrfArgs(trf.parser)
addTrackRecordArgs(trf.parser)
addFastChainTrfArgs(trf.parser)
# Overlay
addOverlay_PoolArguments(trf.parser)
# Add PhysVal
addPhysValidationFiles(trf.parser)
addValidationArguments(trf.parser)
appendPhysValidationSubstep(trf)
return trf