def init_mask(tool_name):
from LArBadChannelTool.LArBadChannelToolConf import LArBadChannelMasker
theLArBadChannelsMasker = LArBadChannelMasker(tool_name) #,this)
theLArBadChannelsMasker.DoMasking = True
theLArBadChannelsMasker.ProblemsToMask = [
"deadReadout", "deadPhys", "short", "almostDead", "highNoiseHG",
"highNoiseMG", "highNoiseLG", "sporadicBurstNoise"
]
return theLArBadChannelsMasker
def configure(self):
mlog = logging.getLogger( 'Py:LArRawChannelGetter::configure %s:' % self.__class__ )
from AthenaCommon.AlgSequence import AlgSequence
topSequence = AlgSequence()
from AthenaCommon.AppMgr import ToolSvc
# get LArDigitGetter in MC case
from AthenaCommon.DetFlags import DetFlags
if DetFlags.digitize.LAr_on() :
try:
from LArDigitization.LArDigitGetter import LArDigitGetter
theLArDigitGetter = LArDigitGetter()
except Exception as configException:
mlog.error("could not get handle to LArDigitGetter Quit")
import traceback
mlog.error(traceback.format_exc())
return False
if not theLArDigitGetter.usable():
mlog.error("LArDigitGetter unusable. Quite")
return False
from LArROD.LArRODFlags import larRODFlags
from AthenaCommon.GlobalFlags import globalflags
if globalflags.DataSource()=='data' or larRODFlags.forceIter() :
# ADC2MeV tool
from LArRecUtils.LArADC2MeVToolDefault import LArADC2MeVToolDefault
theADC2MeVTool = LArADC2MeVToolDefault()
ToolSvc += theADC2MeVTool
from AthenaCommon.AppMgr import ServiceMgr as svcMgr
# Data case
if larRODFlags.readDigits():
from AthenaCommon.GlobalFlags import globalflags
if globalflags.InputFormat() == 'bytestream':
if not larRODFlags.keepDSPRaw():
topSequence.LArRawDataReaderAlg.LArRawChannelKey=""
if globalflags.DetGeo() == 'ctbh6' or globalflags.DetGeo() == 'ctbh8':
from LArROD.LArRODConf import LArRawChannelBuilder
theLArRawChannelBuilder=LArRawChannelBuilder()
topSequence += theLArRawChannelBuilder
return True
from LArROD.LArRODConf import LArRawChannelBuilderDriver
theLArRawChannelBuilder=LArRawChannelBuilderDriver("LArRawChannelBuilder")
topSequence += theLArRawChannelBuilder
if larRODFlags.keepDSPRaw():
theLArRawChannelBuilder.LArRawChannelContainerName=larRODFlags.RawChannelFromDigitsContainerName()
# bad channel masking if required
if not larRODFlags.doBuildBadChannel():
# The first tool filters out bad channels
from LArROD.LArRODConf import LArRawChannelBuilderToolBadChannelTool
theLArRawChannelBuilderToolBadChannel=LArRawChannelBuilderToolBadChannelTool()
from LArBadChannelTool.LArBadChannelToolConf import LArBadChannelMasker
theLArRCBMasker=LArBadChannelMasker("LArRCBMasker")
theLArRCBMasker.DoMasking=True
theLArRCBMasker.ProblemsToMask=[
"deadReadout","deadPhys","almostDead","short",
"lowNoiseHG","highNoiseHG","unstableNoiseHG",
"lowNoiseMG","highNoiseMG","unstableNoiseMG",
"lowNoiseLG","highNoiseLG","unstableNoiseLG"
]
theLArRawChannelBuilderToolBadChannel.BadChannelMask=theLArRCBMasker
theLArRawChannelBuilder.BuilderTools += [theLArRawChannelBuilderToolBadChannel]
ToolSvc+=theLArRawChannelBuilderToolBadChannel
# Pulse reconstruction
# main method: OFC iteration
from LArROD.LArRODConf import LArRawChannelBuilderToolOFCIter
theLArRawChannelBuilderToolOFCIter=LArRawChannelBuilderToolOFCIter()
theLArRawChannelBuilderToolOFCIter.minSample = 2
theLArRawChannelBuilderToolOFCIter.maxSample = 12
theLArRawChannelBuilderToolOFCIter.minADCforIterInSigma=4 # ADCmax at least 4 sigma above noise for iteration
theLArRawChannelBuilderToolOFCIter.minADCforIter=15 # min adc for iteration (only if no pedestalRMS found)
theLArRawChannelBuilderToolOFCIter.defaultPhase=0 # starting delay, also the fixed delay for ADC below min.
theLArRawChannelBuilderToolOFCIter.ECut=250. # Energy to save quality
theLArRawChannelBuilder.BuilderTools += [theLArRawChannelBuilderToolOFCIter]
theLArRawChannelBuilder+=theLArRawChannelBuilderToolOFCIter
# no fallback when emulating exactly DSP computation
if not larRODFlags.doDSP():
# fallback(1): cubic method
from LArROD.LArRODConf import LArRawChannelBuilderToolCubic
theLArRawChannelBuilderToolCubic=LArRawChannelBuilderToolCubic()
theLArRawChannelBuilderToolCubic.minADCforCubic=30
theLArRawChannelBuilder.BuilderTools += [theLArRawChannelBuilderToolCubic]
theLArRawChannelBuilder += theLArRawChannelBuilderToolCubic
# fallback(2) averageing
from LArROD.LArRODConf import LArRawChannelBuilderToolAverage
theLArRawChannelBuilderToolAverage=LArRawChannelBuilderToolAverage()
theLArRawChannelBuilderToolAverage.NScan=0
theLArRawChannelBuilder.BuilderTools += [theLArRawChannelBuilderToolAverage]
theLArRawChannelBuilder += theLArRawChannelBuilderToolAverage
# Pedestal
# main method from database
from LArROD.LArRODConf import LArRawChannelBuilderPedestalDataBase
theLArRawChannelBuilderPedestalDataBase=LArRawChannelBuilderPedestalDataBase()
theLArRawChannelBuilderPedestalDataBase.LArPedestalKey = "LArPedestal"
theLArRawChannelBuilder.PedestalTools = [theLArRawChannelBuilderPedestalDataBase]
theLArRawChannelBuilder += theLArRawChannelBuilderPedestalDataBase
# no fallback when emulating exactly DSP computation
if not larRODFlags.doDSP():
# fallback. sample 0
from LArROD.LArRODConf import LArRawChannelBuilderPedestalSampleZero
theLArRawChannelBuilderPedestalSampleZero=LArRawChannelBuilderPedestalSampleZero()
theLArRawChannelBuilder.PedestalTools += [theLArRawChannelBuilderPedestalSampleZero]
theLArRawChannelBuilder += theLArRawChannelBuilderPedestalSampleZero
# ADC to energy
# main method from database
from LArROD.LArRODConf import LArRawChannelBuilderADC2EDataBase
theLArRawChannelBuilderADC2EDataBase=LArRawChannelBuilderADC2EDataBase()
theLArRawChannelBuilder.ADCtoEnergyTools = [theLArRawChannelBuilderADC2EDataBase]
theLArRawChannelBuilderADC2EDataBase.ADC2MeVTool = theADC2MeVTool
theLArRawChannelBuilder += theLArRawChannelBuilderADC2EDataBase
# no fallback when emulating exactly DSP computation
if not larRODFlags.doDSP():
# fallback, constant conversion factors
from LArROD.LArRODConf import LArRawChannelBuilderADC2EConstants
theLArRawChannelBuilderADC2EConstants=LArRawChannelBuilderADC2EConstants()
theLArRawChannelBuilder.ADCtoEnergyTools += [theLArRawChannelBuilderADC2EConstants]
theLArRawChannelBuilder += theLArRawChannelBuilderADC2EConstants
#more tools to be configured
from LArRecUtils.LArRecUtilsConf import LArOFPeakRecoTool
theLArOFPeakRecoTool=LArOFPeakRecoTool()
from LArConditionsCommon.LArCondFlags import larCondFlags
theLArOFPeakRecoTool.UseShape=larCondFlags.useShape()
if larCondFlags.LArCoolChannelSelection.statusOn:
if len(larCondFlags.LArCoolChannelSelection())>0:
theLArOFPeakRecoTool.forceHighGain=larCondFlags.useOFCOnlyCoolChannelSelection()
ToolSvc += theLArOFPeakRecoTool
#
# adjust default timing to match first sample information written in cool from Lar online configuration
#
nominalPeakSample=2
if globalflags.DataSource()=='data':
from LArConditionsCommon.LArCool import larcool
if (larcool is not None):
nominalPeakSample = larcool.firstSample()
# don't use ramp intercept in calibration if gain type is not auto
if larcool.gainType() > 0 :
mlog.info(" Gain Type: %d don't use intercept in ADC to Energy ramp calibration",larcool.gainType())
theLArRawChannelBuilderADC2EDataBase.UseHighGainRampIntercept = False
theLArRawChannelBuilderADC2EDataBase.UseMedGainRampIntercept = False
theLArRawChannelBuilderADC2EDataBase.UseLowGainRampIntercept = False
else :
mlog.info(" Gain Type: %d use intercept in ADC to energy ramp calibraion ",larcool.gainType())
if (nominalPeakSample > 1) :
theLArRawChannelBuilder.DefaultShiftTimeSample=nominalPeakSample-2
else :
theLArRawChannelBuilder.DefaultShiftTimeSample=0
theLArRawChannelBuilder.DataLocation = "FREE"
else:
from AthenaCommon.GlobalFlags import globalflags
if globalflags.InputFormat() == 'bytestream':
if not "LArRawChannelContainer/LArRawChannels" in svcMgr.ByteStreamAddressProviderSvc.TypeNames:
svcMgr.ByteStreamAddressProviderSvc.TypeNames+=["LArRawChannelContainer/LArRawChannels"]
# In the case of DSP monitoring and reading rawchannels, need to give a different name to the LArRawChannels container
# read from the bytestream ...
# This name has to be coherent with the name in LArMonTools/LArRODMonTool_jobOptions.py
if larRODFlags.doDSP() and larRODFlags.readRawChannels(): #Reading LArRawChannel
print ("Reading RawChannels in DSP physics mode")
# !!! The name of the LArRawChannels container read from the Bytestream is LArRawChannels_fB !!!
if not "LArRawChannelContainer/LArRawChannels_fB" in svcMgr.ByteStreamAddressProviderSvc.TypeNames:
svcMgr.ByteStreamAddressProviderSvc.TypeNames+=["LArRawChannelContainer/LArRawChannels_fB"]
print (svcMgr.ByteStreamAddressProviderSvc.TypeNames)
else:
# MC Case
try:
from AthenaCommon import CfgGetter
topSequence += CfgGetter.getAlgorithm("LArRawChannelBuilder", tryDefaultConfigurable=True)
except Exception as cfgException:
mlog.error("Failed to retrieve LArRawChannelBuilder. Quit")
import traceback
mlog.error(traceback.format_exc())
return False
return True
theLArStripsCrossTalkCorrector.ADCsaturation = ADCsaturation
theLArStripsCrossTalkCorrector.NoXtalkCorr = LArBadChannelMasker(
"NoXtalkCorr",
DoMasking=True,
ProblemsToMask=["deadReadout", "deadPhys", "deadCalib", "almostDead"])
theLArStripsCrossTalkCorrector.DontUseForXtalkCorr = LArBadChannelMasker(
"DontUseForXtalkCorr",
DoMasking=True,
ProblemsToMask=["short", "peculiarCalibrationLine", "deadReadout"])
theLArStripsCrossTalkCorrector.AcceptableDifference = 25.0 #in per-cent
topSequence += theLArStripsCrossTalkCorrector
#Bad-channel mask used by the LArRampBuilder and the Ramp-patcher
from LArBadChannelTool.LArBadChannelToolConf import LArBadChannelMasker
theLArRCBMasker = LArBadChannelMasker("LArRCBMasker")
theLArRCBMasker.DoMasking = True
theLArRCBMasker.ProblemsToMask = [
"deadCalib", "deadReadout", "deadPhys", "almostDead", "short"
]
ToolSvc += theLArRCBMasker
from LArCalibUtils.LArCalibUtilsConf import LArRampBuilder
theLArRampBuilder = LArRampBuilder()
theLArRampBuilder.KeyList = GainList
theLArRampBuilder.SubtractDac0 = False
theLArRampBuilder.BadChannelMask = theLArRCBMasker
if (PeakOF):
theLArRampBuilder.RecoType = "OF"
from LArRecUtils.LArRecUtilsConf import LArOFPeakRecoTool
theLArOFPeakRecoTool = LArOFPeakRecoTool()
theLArBadChanTool.OutputLevel=DEBUG
#can put in bad channels by hand in text files by setting this true and specifying names of text files, see LArBadChanTool documentation
theLArBadChanTool.ReadFromASCII=False
#have to specify the these names iff ReadFromASCII=True
#theLArBadChanTool.EMBAfile = 'EMBA.txt'
#theLArBadChanTool.EMBCfile = 'EMBC.txt'
#theLArBadChanTool.EMECAfile = 'EMECA.txt'
#theLArBadChanTool.EMECCfile = 'EMECC.txt'
#theLArBadChanTool.HECAfile = 'HECA.txt'
#theLArBadChanTool.HECCfile = 'HECC.txt'
#theLArBadChanTool.FCALAfile = 'FCALA.txt'
#theLArBadChanTool.FCALCfile = 'FCALC.txt'
#theLArBadChanTool.FEBfile = 'FEB.txt'
ToolSvc+=theLArBadChanTool
MissingETData.BadChannelTool = theLArBadChanTool
if MissingETData.UseBadChannelMasker == True:
from LArBadChannelTool.LArBadChannelToolConf import LArBadChannelMasker
theLArMasker=LArBadChannelMasker("myLArMasker")
theLArMasker.DoMasking=True
#set problems to be masked here, badchannelmasker and badchantool are independently applied
theLArMasker.ProblemsToMask=["deadReadout","deadPhys","almostDead","short",
"lowNoiseHG","highNoiseHG","unstableNoiseHG","lowNoiseMG","highNoiseMG","unstableNoiseMG",
"lowNoiseLG","highNoiseLG","unstableNoiseLG","deadCalib","distorted","peculiarCalibrationLine",
"unstable","sporadicBurstNoise","problematicForUnknownReason","shortProblem","missingFEB"
]
ToolSvc+=theLArMasker
MissingETData.BadChannelMasker = theLArMasker
ToolSvc += MissingETData
print MissingETData
from CaloMonitoring.CaloMonitoringConf import LArCellMonTool
from RecExConfig.RecFlags import rec
from AthenaMonitoring.DQMonFlags import DQMonFlags
from AthenaCommon.GlobalFlags import globalflags
from AthenaMonitoring.BadLBFilterTool import GetLArBadLBFilterTool
from CaloTools.CaloNoiseToolDefault import CaloNoiseToolDefault
theCaloNoiseTool = CaloNoiseToolDefault()
from LArBadChannelTool.LArBadChannelToolConf import LArBadChannelMasker
theLArChanMasker = LArBadChannelMasker("LArChanMasker")
theLArChanMasker.DoMasking = True
theLArChanMasker.ProblemsToMask = [
"deadReadout", "deadPhys", "short", "sporadicBurstNoise", "highNoiseHG",
"highNoiseMG", "highNoiseLG"
]
ToolSvc += theLArChanMasker
from LArBadChannelTool.LArBadChannelToolConf import LArBadChanTool
theLArBadChannelTool = LArBadChanTool()
ToolSvc += theLArBadChannelTool
LArCellMon = LArCellMonTool(
name="LArCellMonCosmics",
CaloCellContainer="AllCalo",
#TimeGran = "run",
def configure(self):
from AthenaCommon.Logging import logging
mlog = logging.getLogger('CaloCellGetter::configure:')
mlog.info('entering')
doStandardCellReconstruction = True
from CaloRec.CaloCellFlags import jobproperties
if not jobproperties.CaloCellFlags.doFastCaloSim.statusOn:
doFastCaloSim = False
mlog.info("doFastCaloSim not set, so not using it")
else:
doFastCaloSim = jobproperties.CaloCellFlags.doFastCaloSim()
if doFastCaloSim:
mlog.info("doFastCaloSim requested")
doStandardCellReconstruction = False
if jobproperties.CaloCellFlags.doFastCaloSimAddCells():
doStandardCellReconstruction = True
mlog.info(
"doFastCaloSimAddCells requested: FastCaloSim is added to fullsim calorimeter"
)
else:
mlog.info(
"doFastCaloSimAddCells not requested: Stand alone FastCaloSim is running"
)
else:
mlog.info("doFastCaloSim explicitly not requested")
# get handle to upstream object
# handle tile
if doStandardCellReconstruction:
# handle LAr
import traceback
try:
from LArROD.LArRODFlags import larRODFlags
from AthenaCommon.GlobalFlags import globalflags
if larRODFlags.readDigits() and globalflags.DataSource(
) == 'data':
from AthenaCommon.KeyStore import CfgItemList
CfgItemList("KeyStore_inputFile").removeItem(
"LArRawChannelContainer#LArRawChannels")
if (not larRODFlags.readDigits()
) and globalflags.InputFormat() == 'bytestream':
from AthenaCommon.AppMgr import ServiceMgr as svcMgr
try:
if not "LArRawChannelContainer/LArRawChannels" in svcMgr.ByteStreamAddressProviderSvc.TypeNames:
svcMgr.ByteStreamAddressProviderSvc.TypeNames += [
"LArRawChannelContainer/LArRawChannels"
]
except:
mlog.warning(
"Cannot remove LArRawChannelContainer/LArRawChannels from bytestream list"
)
from LArROD.LArRawChannelGetter import LArRawChannelGetter
theLArRawChannelGetter = LArRawChannelGetter()
except:
mlog.error("could not get handle to LArRawChannel Quit")
print traceback.format_exc()
return False
if not theLArRawChannelGetter.usable():
if not self.ignoreConfigError():
mlog.error("LArRawChannelGetter unusable. Quit.")
return False
else:
mlog.error(
"LArRawChannelGetter unusable. Continue nevertheless")
# writing of thinned digits
if jobproperties.CaloCellFlags.doLArThinnedDigits.statusOn and jobproperties.CaloCellFlags.doLArThinnedDigits(
):
from AthenaCommon.GlobalFlags import globalflags
if globalflags.DataSource() == 'data':
try:
from LArROD.LArDigits import DefaultLArDigitThinner
LArDigitThinner = DefaultLArDigitThinner(
'LArDigitThinner'
) # automatically added to topSequence
LArDigitThinner.InputContainerName = "FREE"
LArDigitThinner.OutputContainerName = "LArDigitContainer_Thinned"
except Exception:
treatException("Problem with LArDigitThinner ")
# now configure the algorithm, part of this could be done in a separate class
# cannot have same name
try:
from CaloRec.CaloRecConf import CaloCellMaker
except:
mlog.error("could not import CaloRec.CaloCellMaker")
print traceback.format_exc()
return False
theCaloCellMaker = CaloCellMaker()
self._CaloCellMakerHandle = theCaloCellMaker
from AthenaCommon.AppMgr import ToolSvc
if doStandardCellReconstruction:
# configure CaloCellMaker here
# check LArCellMakerTool_jobOptions.py for full configurability
# FIXME
from RecExConfig.RecFlags import rec
if rec.doLArg():
try:
from LArCellRec.LArCellRecConf import LArCellBuilderFromLArRawChannelTool
theLArCellBuilder = LArCellBuilderFromLArRawChannelTool()
except:
mlog.error(
"could not get handle to LArCellBuilderFromLArRawChannel Quit"
)
print traceback.format_exc()
return False
if jobproperties.CaloCellFlags.doLArCreateMissingCells():
# bad channel tools
try:
from LArBadChannelTool.LArBadChannelToolConf import LArBadChanTool
theLArBadChannelTool = LArBadChanTool()
except:
mlog.error("could not access bad channel tool Quit")
print traceback.format_exc()
return False
ToolSvc += theLArBadChannelTool
theLArCellBuilder.addDeadOTX = True
theLArCellBuilder.badChannelTool = theLArBadChannelTool
# add the tool to list of tool ( should use ToolHandle eventually)
ToolSvc += theLArCellBuilder
theCaloCellMaker.CaloCellMakerToolNames += [theLArCellBuilder]
if rec.doTile():
from AthenaCommon.GlobalFlags import globalflags
if globalflags.DataSource(
) == 'data' and globalflags.InputFormat() == 'bytestream':
from AthenaCommon.AppMgr import ServiceMgr as svcMgr
try:
svcMgr.ByteStreamCnvSvc.ROD2ROBmap = ["-1"]
if not "TileDigitsContainer/TileDigitsCnt" in svcMgr.ByteStreamAddressProviderSvc.TypeNames:
svcMgr.ByteStreamAddressProviderSvc.TypeNames += [
"TileBeamElemContainer/TileBeamElemCnt",
"TileDigitsContainer/TileDigitsCnt",
"TileL2Container/TileL2Cnt",
"TileLaserObject/TileLaserObj",
"TileMuonReceiverContainer/TileMuRcvCnt"
]
except:
mlog.warning(
"Cannot add TileDigitsContainer/TileDigitsCnt et al. to bytestream list"
)
# set options for TileRawChannelMaker
from TileRecUtils.TileRecFlags import jobproperties
jobproperties.TileRecFlags.TileRunType = 1
# physics run type
# reading of digits can be disabled before calling CaloCellGetter
# if this is not done, but digits are not available in BS file
# reading of digits is automatically disabled at start of run
if jobproperties.TileRecFlags.readDigits() \
and not (jobproperties.TileRecFlags.doTileFlat \
or jobproperties.TileRecFlags.doTileFit \
or jobproperties.TileRecFlags.doTileFitCool \
or jobproperties.TileRecFlags.doTileOpt \
or jobproperties.TileRecFlags.doTileOF1 \
or jobproperties.TileRecFlags.doTileOpt2 \
or jobproperties.TileRecFlags.doTileOptATLAS \
or jobproperties.TileRecFlags.doTileMF):
from AthenaCommon.BeamFlags import jobproperties
# run Opt filter with iterations by default, both for cosmics and collisions before 2011
# run Opt filter without iterations for collisions in 2011 and later
if not 'doTileOpt2' in dir():
from RecExConfig.AutoConfiguration import GetRunNumber
rn = GetRunNumber()
if rn > 0 and rn < 171194:
doTileOpt2 = True
elif jobproperties.Beam.beamType() == 'collisions':
doTileOpt2 = False
# use OF without iterations for collisions
else:
doTileOpt2 = True
# always run OF with iterations for cosmics
# jobproperties.TileRecFlags.calibrateEnergy=True; # use pCb for RawChannels
# please, note that time correction and best phase are used only for collisions
if doTileOpt2:
jobproperties.TileRecFlags.doTileOpt2 = True
# run optimal filter with iterations
jobproperties.TileRecFlags.doTileOptATLAS = False
# disable optimal filter without iterations
jobproperties.TileRecFlags.correctAmplitude = False
# don't do parabolic correction
if jobproperties.Beam.beamType() == 'collisions':
jobproperties.TileRecFlags.correctTime = True
# apply time correction in physics runs
jobproperties.TileRecFlags.BestPhaseFromCOOL = False
# best phase is not needed for iterations
else:
jobproperties.TileRecFlags.doTileOpt2 = False
# disable optimal filter with iterations
jobproperties.TileRecFlags.doTileOptATLAS = True
# run optimal filter without iterations
jobproperties.TileRecFlags.correctAmplitude = True
# apply parabolic correction
if jobproperties.Beam.beamType() == 'collisions':
jobproperties.TileRecFlags.correctTime = False
# don't need time correction if best phase is used
jobproperties.TileRecFlags.BestPhaseFromCOOL = True
# use best phase stored in DB
try:
from TileRecUtils.TileRawChannelGetter import TileRawChannelGetter
theTileRawChannelGetter = TileRawChannelGetter()
except:
mlog.error("could not load TileRawChannelGetter Quit")
print traceback.format_exc()
return False
try:
from TileRecAlgs.TileRecAlgsConf import TileDigitsFilter
from AthenaCommon.AlgSequence import AlgSequence
topSequence = AlgSequence()
topSequence += TileDigitsFilter()
except:
mlog.error("Could not configure TileDigitsFilter")
try:
from TileRecUtils.TileRecUtilsConf import TileCellBuilder
theTileCellBuilder = TileCellBuilder()
from TileRecUtils.TileRecFlags import jobproperties
theTileCellBuilder.TileRawChannelContainer = jobproperties.TileRecFlags.TileRawChannelContainer(
)
if not hasattr(ToolSvc, "TileBeamInfoProvider"):
from TileRecUtils.TileRecUtilsConf import TileBeamInfoProvider
ToolSvc += TileBeamInfoProvider()
if globalflags.DataSource(
) == 'data' and globalflags.InputFormat() == 'bytestream':
if jobproperties.TileRecFlags.readDigits():
# everything is already corrected at RawChannel level
theTileCellBuilder.correctTime = False
theTileCellBuilder.correctAmplitude = False
else:
ToolSvc.TileBeamInfoProvider.TileRawChannelContainer = "TileRawChannelCnt"
# by default parameters are tuned for opt.filter without iterations
theTileCellBuilder.correctTime = jobproperties.TileRecFlags.correctTime(
)
theTileCellBuilder.correctAmplitude = jobproperties.TileRecFlags.correctAmplitude(
)
theTileCellBuilder.AmpMinForAmpCorrection = jobproperties.TileRecFlags.AmpMinForAmpCorrection(
)
if jobproperties.TileRecFlags.TimeMaxForAmpCorrection(
) <= jobproperties.TileRecFlags.TimeMinForAmpCorrection(
):
from AthenaCommon.BeamFlags import jobproperties
mlog.info(
"adjusting min/max time of parabolic correction for %s"
% jobproperties.Beam.bunchSpacing)
halfBS = jobproperties.Beam.bunchSpacing.get_Value(
) / 2.
jobproperties.TileRecFlags.TimeMinForAmpCorrection = -halfBS
jobproperties.TileRecFlags.TimeMaxForAmpCorrection = halfBS
if jobproperties.TileRecFlags.TimeMaxForAmpCorrection(
) > jobproperties.TileRecFlags.TimeMinForAmpCorrection(
):
theTileCellBuilder.TimeMinForAmpCorrection = jobproperties.TileRecFlags.TimeMinForAmpCorrection(
)
theTileCellBuilder.TimeMaxForAmpCorrection = jobproperties.TileRecFlags.TimeMaxForAmpCorrection(
)
ToolSvc += theTileCellBuilder
theCaloCellMaker.CaloCellMakerToolNames += [
theTileCellBuilder
]
except:
mlog.error("could not get handle to TileCellBuilder Quit")
print traceback.format_exc()
return False
if doFastCaloSim:
mlog.info('configuring FastCaloSim here')
try:
from FastCaloSim.FastCaloSimConf import EmptyCellBuilderTool
theEmptyCellBuilderTool = EmptyCellBuilderTool()
ToolSvc += theEmptyCellBuilderTool
theCaloCellMaker.CaloCellMakerToolNames += [
theEmptyCellBuilderTool
]
print theEmptyCellBuilderTool
mlog.info("configure EmptyCellBuilderTool worked")
except:
mlog.error("could not get handle to EmptyCellBuilderTool Quit")
print traceback.format_exc()
return False
try:
from FastCaloSim.FastCaloSimFactory import FastCaloSimFactory
theFastShowerCellBuilderTool = FastCaloSimFactory()
ToolSvc += theFastShowerCellBuilderTool
theCaloCellMaker.CaloCellMakerToolNames += [
theFastShowerCellBuilderTool
]
mlog.info("configure FastShowerCellBuilderTool worked")
except:
mlog.error(
"could not get handle to FastShowerCellBuilderTool Quit")
print traceback.format_exc()
return False
doFastCaloSimNoise = jobproperties.CaloCellFlags.doFastCaloSimNoise(
)
if doFastCaloSimNoise:
try:
from FastCaloSim.FastCaloSimConf import AddNoiseCellBuilderTool
theAddNoiseCellBuilderTool = AddNoiseCellBuilderTool()
from CaloTools.CaloNoiseToolDefault import CaloNoiseToolDefault
theCaloNoiseTool = CaloNoiseToolDefault()
from AthenaCommon.AppMgr import ToolSvc
ToolSvc += theCaloNoiseTool
theAddNoiseCellBuilderTool.CaloNoiseTool = theCaloNoiseTool.getFullName(
)
print theAddNoiseCellBuilderTool
ToolSvc += theAddNoiseCellBuilderTool
theCaloCellMaker.CaloCellMakerToolNames += [
theAddNoiseCellBuilderTool
]
mlog.info("configure AddNoiseCellBuilderTool worked")
except:
mlog.error(
"could not get handle to AddNoiseCellBuilderTool Quit")
print traceback.format_exc()
return False
#
# CaloCellContainerFinalizerTool : closing container and setting up iterators
#
from CaloRec.CaloRecConf import CaloCellContainerFinalizerTool
theCaloCellContainerFinalizerTool = CaloCellContainerFinalizerTool()
ToolSvc += theCaloCellContainerFinalizerTool
theCaloCellMaker.CaloCellMakerToolNames += [
theCaloCellContainerFinalizerTool
]
#
# Mergeing of calo cellcontainer with sparse raw channel container with improved energies
#
doLArMerge = False
if globalflags.DataSource(
) == 'data' and jobproperties.CaloCellFlags.doLArRawChannelMerge.statusOn and jobproperties.CaloCellFlags.doLArRawChannelMerge(
):
from LArROD.LArRODFlags import larRODFlags
if larRODFlags.readDigits() and larRODFlags.keepDSPRaw():
doLArMerge = True
if doLArMerge:
try:
from LArCellRec.LArCellRecConf import LArCellMerger
theLArCellMerger = LArCellMerger()
except:
mlog.error("could not get handle to LArCellMerge Quit")
print traceback.format_exc()
return False
theLArCellMerger.RawChannelsName = larRODFlags.RawChannelFromDigitsContainerName(
)
ToolSvc += theLArCellMerger
theCaloCellMaker.CaloCellMakerToolNames += [theLArCellMerger]
#
# masking of noisy and sporadic noisy cells in LAr
#
doNoiseMask = False
if jobproperties.CaloCellFlags.doLArNoiseMasking.statusOn and jobproperties.CaloCellFlags.doLArNoiseMasking(
):
doNoiseMask = True
doSporadicMask = False
if jobproperties.CaloCellFlags.doLArSporadicMasking.statusOn and jobproperties.CaloCellFlags.doLArSporadicMasking(
):
doSporadicMask = True
if doNoiseMask or doSporadicMask:
try:
from LArCellRec.LArCellRecConf import LArCellNoiseMaskingTool
theLArCellNoiseMaskingTool = LArCellNoiseMaskingTool()
except:
mlog.error(
"could not get handle to LArCellNoiseMaskingTool Quit")
print traceback.format_exc()
return False
# bad channel tools
try:
from LArBadChannelTool.LArBadChannelToolConf import LArBadChanTool
theLArBadChannelTool = LArBadChanTool()
except:
mlog.error("could not access bad channel tool Quit")
print traceback.format_exc()
return False
ToolSvc += theLArBadChannelTool
if doSporadicMask:
try:
from LArBadChannelTool.LArBadChannelToolConf import LArBadChannelMasker
theLArSporadicNoiseMasker = LArBadChannelMasker(
"LArSporadicNoiseMasker")
except:
mlog.error("could not access bad channel tool Quit")
print traceback.format_exc()
return False
theLArSporadicNoiseMasker.TheLArBadChanTool = theLArBadChannelTool
theLArSporadicNoiseMasker.DoMasking = True
theLArSporadicNoiseMasker.ProblemsToMask = [
"sporadicBurstNoise"
]
ToolSvc += theLArSporadicNoiseMasker
theLArCellNoiseMaskingTool.MaskingSporadicTool = theLArSporadicNoiseMasker
if doNoiseMask:
try:
from LArBadChannelTool.LArBadChannelToolConf import LArBadChannelMasker
theLArNoiseMasker = LArBadChannelMasker("LArNoiseMasker")
except:
mlog.error("could not access bad channel tool Quit")
print traceback.format_exc()
return False
theLArNoiseMasker.TheLArBadChanTool = theLArBadChannelTool
theLArNoiseMasker.DoMasking = True
theLArNoiseMasker.ProblemsToMask = [
"highNoiseHG", "highNoiseMG", "highNoiseLG", "deadReadout",
"deadPhys"
]
ToolSvc += theLArNoiseMasker
theLArCellNoiseMaskingTool.MaskingTool = theLArNoiseMasker
theLArCellNoiseMaskingTool.maskNoise = doNoiseMask
theLArCellNoiseMaskingTool.maskSporadic = doSporadicMask
# quality cut for sporadic noise masking
theLArCellNoiseMaskingTool.qualityCut = 4000
ToolSvc += theLArCellNoiseMaskingTool
theCaloCellMaker.CaloCellMakerToolNames += [
theLArCellNoiseMaskingTool
]
#
# masking of Feb problems
#
doBadFebMasking = False
if jobproperties.CaloCellFlags.doLArBadFebMasking.statusOn and jobproperties.CaloCellFlags.doLArBadFebMasking(
):
from AthenaCommon.GlobalFlags import globalflags
if globalflags.DataSource() == 'data':
doBadFebMasking = True
if doBadFebMasking:
try:
from LArCellRec.LArCellRecConf import LArBadFebMaskingTool
theLArBadFebMaskingTool = LArBadFebMaskingTool()
if (
rec.doExpressProcessing()
or athenaCommonFlags.isOnline()
): # In online or express processing, EventInfo::LArError is triggered if >=4 FEB with data corrupted
theLArBadFebMaskingTool.minFebInError = 4
except:
mlog.error("could not get handle to LArBadFebMaskingTool Quit")
print traceback.format_exc()
return False
ToolSvc += theLArBadFebMaskingTool
# bad channel tools
try:
from LArBadChannelTool.LArBadChannelToolConf import LArBadChanTool
theLArBadChannelTool = LArBadChanTool()
except:
mlog.error("could not access bad channel tool Quit")
print traceback.format_exc()
return False
ToolSvc += theLArBadChannelTool
theLArBadFebMaskingTool.badChannelTool = theLArBadChannelTool
theCaloCellMaker.CaloCellMakerToolNames += [
theLArBadFebMaskingTool
]
#
# emulate gain pathologies on MC
#
doGainPathology = False
if jobproperties.CaloCellFlags.doLArCellGainPathology.statusOn and jobproperties.CaloCellFlags.doLArCellGainPathology(
):
from AthenaCommon.GlobalFlags import globalflags
if globalflags.DataSource() == 'geant4':
doGainPathology = True
if doGainPathology:
try:
from LArCellRec.LArCellRecConf import LArCellGainPathology
theLArCellGainPathology = LArCellGainPathology()
except:
mlog.error("could not get handle to LArCellGainPatholog< Quit")
print traceback.format_exc()
return False
ToolSvc += theLArCellGainPathology
theCaloCellMaker.CaloCellMakerToolNames += [
theLArCellGainPathology
]
# lar miscalibration if MC only (should be done after finalisation)
if not jobproperties.CaloCellFlags.doLArCellEmMisCalib.statusOn:
# the flag has not been set, so decide a reasonable default
# this is the old global flags should use the new one as
# soon as monitoring does
from AthenaCommon.GlobalFlags import globalflags
if globalflags.DataSource() == 'data':
doLArCellEmMisCalib = False
mlog.info(
"jobproperties.CaloCellFlags.doLArMisCalib not set and real data: do not apply LArCellEmMisCalibTool"
)
else:
doLArCellEmMisCalib = True
mlog.info(
"jobproperties.CaloCellFlags.doLArMisCalib not set and Monte Carlo: apply LArCellEmMisCalibTool"
)
else:
doLArCellEmMisCalib = jobproperties.CaloCellFlags.doLArCellEmMisCalib(
)
if doLArCellEmMisCalib:
mlog.info("LArCellEmMisCalibTool requested")
else:
mlog.info("LArCellEmMisCalibTool explicitly not requested")
if doLArCellEmMisCalib:
try:
from LArCellRec.LArCellRecConf import LArCellEmMiscalib
theLArCellEmMiscalib = LArCellEmMiscalib("LArCellEmMiscalib")
except:
mlog.error("could not get handle to LArCellEmMisCalib Quit")
print traceback.format_exc()
return False
# examples on how to change miscalibration. Default values are 0.005 and 0.007
# theLArCellEmMiscalib.SigmaPerRegion = 0.005;
# theLArCellEmMiscalib.SigmaPerCell = 0.005;
ToolSvc += theLArCellEmMiscalib
try:
from CaloRec.CaloRecConf import CaloCellContainerCorrectorTool
from CaloIdentifier import SUBCALO
theMisCalibTool = CaloCellContainerCorrectorTool(
"MisCalibTool",
CaloNums=[SUBCALO.LAREM],
CellCorrectionToolNames=[theLArCellEmMiscalib])
except:
mlog.error("could not get handle to MisCalibTool Quit")
print traceback.format_exc()
return False
ToolSvc += theMisCalibTool
theCaloCellMaker.CaloCellMakerToolNames += [theMisCalibTool]
#
# Pedestal shift correction
#
doPedestalCorr = False
if jobproperties.CaloCellFlags.doPedestalCorr.statusOn:
from AthenaCommon.GlobalFlags import globalflags
if jobproperties.CaloCellFlags.doPedestalCorr() and (
globalflags.DataSource() == 'data'
or jobproperties.CaloCellFlags.doPileupOffsetBCIDCorr):
doPedestalCorr = True
mlog.info("Apply cell level pedestal shift correction")
import os
if doPedestalCorr:
try:
from CaloCellCorrection.CaloCellPedestalCorrDefault import CaloCellPedestalCorrDefault
theCaloCellPedestalCorr = CaloCellPedestalCorrDefault()
ToolSvc += theCaloCellPedestalCorr
theCaloCellMaker.CaloCellMakerToolNames += [
theCaloCellPedestalCorr
]
except:
mlog.error("could not get handle to CaloCellPedestalCorr")
print traceback.format_exc()
#
# HV correction for offline reprocessing, reading HV from Cool-DCS database
#
doHVCorr = False
from AthenaCommon.DetFlags import DetFlags
if DetFlags.dcs.LAr_on():
if jobproperties.CaloCellFlags.doLArHVCorr.statusOn:
from AthenaCommon.GlobalFlags import globalflags
if jobproperties.CaloCellFlags.doLArHVCorr(
) and globalflags.DataSource() == 'data':
doHVCorr = True
mlog.info(
"Redoing HV correction at cell level from COOL/DCS database"
)
if doHVCorr:
from LArCellRec.LArCellHVCorrDefault import LArCellHVCorrDefault
theLArCellHVCorr = LArCellHVCorrDefault()
try:
from CaloRec.CaloRecConf import CaloCellContainerCorrectorTool
from CaloIdentifier import SUBCALO
theHVCorrTool = CaloCellContainerCorrectorTool(
"HVCorrTool",
CaloNums=[SUBCALO.LAREM, SUBCALO.LARHEC, SUBCALO.LARFCAL],
CellCorrectionToolNames=[theLArCellHVCorr])
except:
mlog.error("could not get handle to HVCorrTool Quit")
print traceback.format_exc()
return False
ToolSvc += theHVCorrTool
theCaloCellMaker.CaloCellMakerToolNames += [theHVCorrTool]
#
# correction to undo online calibration and apply new LAr electronics calibration for ADC->MeV conversion
#
doLArRecalibration = False
if jobproperties.CaloCellFlags.doLArRecalibration.statusOn:
from AthenaCommon.GlobalFlags import globalflags
from LArConditionsCommon.LArCondFlags import larCondFlags
if jobproperties.CaloCellFlags.doLArRecalibration(
) and globalflags.DataSource() == 'data' and (
not larCondFlags.SingleVersion()):
doLArRecalibration = True
mlog.info("Redoing LAr electronics calibration for ADC->MeV")
if doLArRecalibration:
# get tool for cell recalibration
try:
from LArCellRec.LArCellRecConf import LArCellRecalibration
theLArCellRecalibration = LArCellRecalibration(
"LArCellRecalibration")
except:
mlog.error("could not get handle to LArCellRecalibration Quit")
print traceback.format_exc()
return False
ToolSvc += theLArCellRecalibration
# get new ADC2MeVTool
try:
from LArRecUtils.LArADC2MeVToolDefault import LArADC2MeVToolDefault
theLArADC2MeVToolDefault = LArADC2MeVToolDefault()
except:
mlog.error(
"Could not get handle to LArADC2MeVToolDefault Quit")
print traceback.format_exc()
return False
ToolSvc += theLArADC2MeVToolDefault
# get old ADC2MeVTool
try:
from LArRecUtils.LArADC2MeVToolOnline import LArADC2MeVToolOnline
theLArADC2MeVToolOnline = LArADC2MeVToolOnline()
except:
mlog.error("Could not get handle to LArADC2MeVToolOnline Quit")
print traceback.format_exc()
return False
ToolSvc += theLArADC2MeVToolOnline
theLArCellRecalibration.adc2MeVTool = theLArADC2MeVToolDefault
theLArCellRecalibration.adc2MeVToolOnline = theLArADC2MeVToolOnline
try:
from CaloRec.CaloRecConf import CaloCellContainerCorrectorTool
from CaloIdentifier import SUBCALO
theLArRecalibrationTool = CaloCellContainerCorrectorTool(
"LArRecalibrationTool",
CaloNums=[SUBCALO.LAREM, SUBCALO.LARHEC, SUBCALO.LARFCAL],
CellCorrectionToolNames=[theLArCellRecalibration])
except:
mlog.error("could not get handle to HVCorrTool Quit")
print traceback.format_exc()
return False
ToolSvc += theLArRecalibrationTool
theCaloCellMaker.CaloCellMakerToolNames += [
theLArRecalibrationTool
]
#
# Correction for MinBias energy shift for MC pileup reco
#
doMinBiasAverage = False
if jobproperties.CaloCellFlags.doMinBiasAverage.statusOn:
from AthenaCommon.GlobalFlags import globalflags
from AthenaCommon.BeamFlags import jobproperties
if jobproperties.CaloCellFlags.doMinBiasAverage(
) and globalflags.DataSource() == 'geant4' and (
not jobproperties.Beam.zeroLuminosity()):
doMinBiasAverage = True
if doMinBiasAverage:
try:
from CaloTools.CaloMBAverageToolDefault import CaloMBAverageToolDefault
theCaloMBAverageTool = CaloMBAverageToolDefault()
except:
mlog.error("could not get handle to CaloMBAverageTool Quit")
print traceback.format_exc()
return False
ToolSvc += theCaloMBAverageTool
try:
from CaloCellCorrection.CaloCellCorrectionConf import CaloCellMBAverageCorr
theCaloCellMBAverageCorr = CaloCellMBAverageCorr(
"CaloCellMBAverageCorr")
theCaloCellMBAverageCorr.CaloMBAverageTool = theCaloMBAverageTool
except:
mlog.error(
"could not get handle to CaloCellMBAverageCorr Quit")
print traceback.format_exc()
return False
ToolSvc += theCaloCellMBAverageCorr
try:
from CaloRec.CaloRecConf import CaloCellContainerCorrectorTool
from CaloIdentifier import SUBCALO
theMBAverageTool = CaloCellContainerCorrectorTool(
"MBAverageTool",
CaloNums=[SUBCALO.NSUBCALO],
CellCorrectionToolNames=[theCaloCellMBAverageCorr])
except:
mlog.error(
"could not get handle to CaloCellContainerCorrectorTool/MBAverageTool Quit"
)
print traceback.format_exc()
return False
ToolSvc += theMBAverageTool
theCaloCellMaker.CaloCellMakerToolNames += [theMBAverageTool]
#
# Correction for dead cells, where we average the energy density of neighbor cells
#
doNeighborsAverage = False
if jobproperties.CaloCellFlags.doDeadCellCorr.statusOn:
if jobproperties.CaloCellFlags.doDeadCellCorr():
doNeighborsAverage = True
if doNeighborsAverage:
try:
from CaloCellCorrection.CaloCellCorrectionConf import CaloCellNeighborsAverageCorr
theCaloCellNeighborsAverageCorr = CaloCellNeighborsAverageCorr(
"CaloCellNeighborsAverageCorr")
theCaloCellNeighborsAverageCorr.testMode = False
except:
mlog.error(
"could not get handle to CaloCellNeighborsAverageCorr Quit"
)
print traceback.format_exc()
return False
ToolSvc += theCaloCellNeighborsAverageCorr
theCaloCellMaker.CaloCellMakerToolNames += [
theCaloCellNeighborsAverageCorr
]
#
# correction for missing Febs based on L1 readout
doLArDeadOTXCorr = False
if jobproperties.CaloCellFlags.doLArDeadOTXCorr.statusOn and jobproperties.CaloCellFlags.doLArCreateMissingCells.statusOn:
if jobproperties.CaloCellFlags.doLArDeadOTXCorr(
) and jobproperties.CaloCellFlags.doLArCreateMissingCells(
) and doStandardCellReconstruction:
if rec.doTrigger():
doLArDeadOTXCorr = True
else:
mlog.warning(
"Trigger is switched off. Can't run deadOTX correction."
)
if doLArDeadOTXCorr:
try:
from LArCellRec.LArCellDeadOTXCorrToolDefault import LArCellDeadOTXCorrToolDefault
theLArCellDeadOTXCorr = LArCellDeadOTXCorrToolDefault()
except:
mlog.error("could not get handle to LArCellDeadOTXCorr Quit")
print traceback.format_exc()
ToolSvc += theLArCellDeadOTXCorr
theCaloCellMaker.CaloCellMakerToolNames += [theLArCellDeadOTXCorr]
doCaloEnergyRescaler = False
if jobproperties.CaloCellFlags.doCaloCellEnergyCorr(
) and globalflags.DataSource(
) == 'data' and not athenaCommonFlags.isOnline():
try:
from CaloCellCorrection.CaloCellCorrectionConf import CaloCellEnergyRescaler
theCCERescalerTool = CaloCellEnergyRescaler()
theCCERescalerTool.Folder = "/LAR/CellCorrOfl/EnergyCorr"
ToolSvc += theCCERescalerTool
from IOVDbSvc.CondDB import conddb
# conddb.addFolder("","/LAR/CellCorrOfl/EnergyCorr<tag>EnergyScale-00</tag><db>sqlite://;schema=escale.db;dbname=COMP200</db>")
conddb.addFolder("LAR_OFL", "/LAR/CellCorrOfl/EnergyCorr")
ToolSvc += theCCERescalerTool
theCaloCellMaker.CaloCellMakerToolNames += [theCCERescalerTool]
except:
mlog.error(
"could not get handle to CaloCellEnergyRescaler Quit")
print traceback.format_exc()
return False
pass
if jobproperties.CaloCellFlags.doCaloCellTimeCorr(
) and globalflags.DataSource(
) == 'data' and not athenaCommonFlags.isOnline():
try:
from CaloRec.CaloRecConf import CaloCellContainerCorrectorTool
from CaloCellCorrection.CaloCellCorrectionConf import CaloCellTimeCorrTool
theLArTimeCorr = CaloCellTimeCorrTool()
theLArTimeCorr.Folder = "/LAR/TimeCorrectionOfl/CellTimeOffset"
ToolSvc += theLArTimeCorr
from IOVDbSvc.CondDB import conddb
# conddb.addFolder("","/LAR/TimeCorrectionOfl/CellTimeOffset<tag>LARTimeCorrectionOflCellTimeOffset-empty</tag><db>sqlite://;schema=timecorr.db;dbname=COMP200</db>")
conddb.addFolder("LAR_OFL",
"/LAR/TimeCorrectionOfl/CellTimeOffset")
theCaloTimeCorrTool = CaloCellContainerCorrectorTool(
"LArTimeCorrTool",
CellCorrectionToolNames=[theLArTimeCorr])
ToolSvc += theCaloTimeCorrTool
theCaloCellMaker.CaloCellMakerToolNames += [
theCaloTimeCorrTool
]
except:
mlog.error("could not get handle to CaloCellTimeCorrTool Quit")
print traceback.format_exc()
return False
pass
# make lots of checks (should not be necessary eventually)
# to print the check add:
from CaloRec.CaloRecConf import CaloCellContainerCheckerTool
theCaloCellContainerCheckerTool = CaloCellContainerCheckerTool()
# FIXME
# theCaloCellContainerCheckerTool.OutputLevel=DEBUG
ToolSvc += theCaloCellContainerCheckerTool
theCaloCellMaker.CaloCellMakerToolNames += [
theCaloCellContainerCheckerTool
]
#
# sets output key
theCaloCellMaker.CaloCellsOutputName = self.outputKey()
# register output in objKeyStore
from RecExConfig.ObjKeyStore import objKeyStore
objKeyStore.addStreamESD(self.outputType(), self.outputKey())
# now add algorithm to topSequence
# this should always come at the end
mlog.info(" now adding CaloCellMaker to topSequence")
from AthenaCommon.AlgSequence import AlgSequence
topSequence = AlgSequence()
topSequence += theCaloCellMaker
return True
# Define ONE LArBadChannelMask for all Monitoring tools
from LArBadChannelTool.LArBadChannelToolConf import LArBadChannelMasker
theLArBadChannelsMasker = LArBadChannelMasker("LArBadChannelsMasker")
theLArBadChannelsMasker.DoMasking = True
theLArBadChannelsMasker.ProblemsToMask = [
"deadReadout", "deadPhys", "short", "almostDead", "highNoiseHG",
"highNoiseMG", "highNoiseLG", "sporadicBurstNoise"
]
ToolSvc += theLArBadChannelsMasker
include("LArConditionsCommon/LArConditionsCommon_comm_jobOptions.py")
include("LArMonTools/LArFEBMon_jobOptions.py"
) # Data integrity checks - Includes LArFEBMon tool and LArEventInfo
if Type == 'Pedestal':
coherent_noise_calibration_run = True
include("LArMonTools/LArNoiseCorrelationMon_jobOptions.py"
) # Coherent noise plots
elif Type == 'Delay':
include("LArMonTools/LArDelayMon_jobOptions.py"
) # includes LArWaveMon tool and LArJitterMon
# include("LArMonTools/LArXtalk_jobOptions.py") # includes LArWaveXtalk tool
elif Type == 'Ramp':
include("LArMonTools/LArRampMon_jobOptions.py")
elif Type == 'Cosmic':
include("LArMonTools/LArDigitMon_jobOptions.py")
else:
print "Unknown Type !!!"
def configure(self):
from AthenaCommon.Logging import logging
mlog = logging.getLogger('CaloCellGetter_DigiHSTruth::configure:')
mlog.info('entering')
doStandardCellReconstruction = True
from CaloRec.CaloCellFlags import jobproperties
# get handle to upstream object
# handle tile
if doStandardCellReconstruction:
from LArROD.LArRODFlags import larRODFlags
# now configure the algorithm, part of this could be done in a separate class
# cannot have same name
try:
from CaloRec.CaloRecConf import CaloCellMaker
except Exception:
mlog.error("could not import CaloRec.CaloCellMaker")
print(traceback.format_exc())
return False
theCaloCellMaker = CaloCellMaker("CaloCellMaker_DigiHSTruth")
self._CaloCellMakerHandle = theCaloCellMaker
from AthenaCommon.AppMgr import ToolSvc
if doStandardCellReconstruction:
# configure CaloCellMaker here
# check LArCellMakerTool_jobOptions.py for full configurability
# FIXME
if rec.doLArg():
from LArCabling.LArCablingAccess import LArOnOffIdMapping
LArOnOffIdMapping()
try:
from LArCellRec.LArCellRecConf import LArCellBuilderFromLArRawChannelTool
theLArCellBuilder = LArCellBuilderFromLArRawChannelTool(
"LArCellBuilder_DigiHSTruth")
theLArCellBuilder.RawChannelsName = "LArRawChannels_DigiHSTruth"
except Exception:
mlog.error(
"could not get handle to LArCellBuilderFromLArRawChannel Quit"
)
print(traceback.format_exc())
return False
if jobproperties.CaloCellFlags.doLArCreateMissingCells():
theLArCellBuilder.addDeadOTX = True
# add the tool to list of tool ( should use ToolHandle eventually)
theCaloCellMaker += theLArCellBuilder
theCaloCellMaker.CaloCellMakerToolNames += [theLArCellBuilder]
if rec.doTile():
try:
from TileRecUtils.TileRecUtilsConf import TileCellBuilder
theTileCellBuilder = TileCellBuilder(
"TileCellBuilder_DigiHSTruth")
theTileCellBuilder.TileRawChannelContainer = "TileRawChannelCnt_DigiHSTruth"
theTileCellBuilder.E4prContainer = "E4prContainer2_DigiHSTruth"
theTileCellBuilder.MBTSContainer = "MBTSContainer2_DigiHSTruth"
theTileCellBuilder.TileDSPRawChannelContainer = "TileRawChannelCnt_DigiHSTruth"
theCaloCellMaker += theTileCellBuilder
theCaloCellMaker.CaloCellMakerToolNames += [
theTileCellBuilder
]
except Exception:
mlog.error("could not get handle to TileCellBuilder Quit")
print(traceback.format_exc())
return False
#
# CaloCellContainerFinalizerTool : closing container and setting up iterators
#
from CaloRec.CaloRecConf import CaloCellContainerFinalizerTool
theCaloCellContainerFinalizerTool = CaloCellContainerFinalizerTool(
"CaloCellContainerFinalizerTool_DigiHSTruth")
theCaloCellMaker += theCaloCellContainerFinalizerTool
theCaloCellMaker.CaloCellMakerToolNames += [
theCaloCellContainerFinalizerTool
]
#
# Mergeing of calo cellcontainer with sparse raw channel container with improved energies
#
doLArMerge = False
if doLArMerge:
try:
from LArCellRec.LArCellRecConf import LArCellMerger
theLArCellMerger = LArCellMerger()
except Exception:
mlog.error("could not get handle to LArCellMerge Quit")
print(traceback.format_exc())
return False
theLArCellMerger.RawChannelsName = larRODFlags.RawChannelFromDigitsContainerName(
)
theCaloCellMaker += theLArCellMerger
theCaloCellMaker.CaloCellMakerToolNames += [theLArCellMerger]
#
# masking of noisy and sporadic noisy cells in LAr
#
doNoiseMask = False
if jobproperties.CaloCellFlags.doLArNoiseMasking.statusOn and jobproperties.CaloCellFlags.doLArNoiseMasking(
):
doNoiseMask = True
doSporadicMask = False
if jobproperties.CaloCellFlags.doLArSporadicMasking.statusOn and jobproperties.CaloCellFlags.doLArSporadicMasking(
):
doSporadicMask = True
if doNoiseMask or doSporadicMask:
try:
from LArCellRec.LArCellRecConf import LArCellNoiseMaskingTool
theLArCellNoiseMaskingTool = LArCellNoiseMaskingTool()
except Exception:
mlog.error(
"could not get handle to LArCellNoiseMaskingTool Quit")
print(traceback.format_exc())
return False
if doSporadicMask:
try:
from LArBadChannelTool.LArBadChannelToolConf import LArBadChannelMasker
theLArSporadicNoiseMasker = LArBadChannelMasker(
"LArSporadicNoiseMasker")
except Exception:
mlog.error("could not access bad channel tool Quit")
print(traceback.format_exc())
return False
theLArSporadicNoiseMasker.DoMasking = True
theLArSporadicNoiseMasker.ProblemsToMask = [
"sporadicBurstNoise"
]
ToolSvc += theLArSporadicNoiseMasker
theLArCellNoiseMaskingTool.MaskingSporadicTool = theLArSporadicNoiseMasker
if doNoiseMask:
try:
from LArBadChannelTool.LArBadChannelToolConf import LArBadChannelMasker
theLArNoiseMasker = LArBadChannelMasker("LArNoiseMasker")
except Exception:
mlog.error("could not access bad channel tool Quit")
print(traceback.format_exc())
return False
theLArNoiseMasker.DoMasking = True
theLArNoiseMasker.ProblemsToMask = [
"highNoiseHG", "highNoiseMG", "highNoiseLG", "deadReadout",
"deadPhys"
]
ToolSvc += theLArNoiseMasker
theLArCellNoiseMaskingTool.MaskingTool = theLArNoiseMasker
theLArCellNoiseMaskingTool.maskNoise = doNoiseMask
theLArCellNoiseMaskingTool.maskSporadic = doSporadicMask
# quality cut for sporadic noise masking
theLArCellNoiseMaskingTool.qualityCut = 4000
theCaloCellMaker += theLArCellNoiseMaskingTool
theCaloCellMaker.CaloCellMakerToolNames += [
theLArCellNoiseMaskingTool
]
#
# masking of Feb problems
#
doBadFebMasking = False
if doBadFebMasking:
try:
from LArCellRec.LArCellRecConf import LArBadFebMaskingTool
theLArBadFebMaskingTool = LArBadFebMaskingTool()
if (
rec.doExpressProcessing()
or athenaCommonFlags.isOnline()
): # In online or express processing, EventInfo::LArError is triggered if >=4 FEB with data corrupted
theLArBadFebMaskingTool.minFebInError = 4
except Exception:
mlog.error("could not get handle to LArBadFebMaskingTool Quit")
print(traceback.format_exc())
return False
theCaloCellMaker += theLArBadFebMaskingTool
theCaloCellMaker.CaloCellMakerToolNames += [
theLArBadFebMaskingTool
]
#
# emulate gain pathologies on MC
#
doGainPathology = False
if jobproperties.CaloCellFlags.doLArCellGainPathology.statusOn and jobproperties.CaloCellFlags.doLArCellGainPathology(
):
if globalflags.DataSource() == 'geant4':
doGainPathology = True
if doGainPathology:
try:
from LArCellRec.LArCellRecConf import LArCellGainPathology
theLArCellGainPathology = LArCellGainPathology()
except Exception:
mlog.error("could not get handle to LArCellGainPatholog< Quit")
print(traceback.format_exc())
return False
theCaloCellMaker += theLArCellGainPathology
theCaloCellMaker.CaloCellMakerToolNames += [
theLArCellGainPathology
]
# lar miscalibration if MC only (should be done after finalisation)
if not jobproperties.CaloCellFlags.doLArCellEmMisCalib.statusOn:
# the flag has not been set, so decide a reasonable default
# this is the old global flags should use the new one as
# soon as monitoring does
doLArCellEmMisCalib = True
mlog.info(
"jobproperties.CaloCellFlags.doLArMisCalib not set and Monte Carlo: apply LArCellEmMisCalibTool"
)
else:
doLArCellEmMisCalib = jobproperties.CaloCellFlags.doLArCellEmMisCalib(
)
if doLArCellEmMisCalib:
mlog.info("LArCellEmMisCalibTool requested")
else:
mlog.info("LArCellEmMisCalibTool explicitly not requested")
if doLArCellEmMisCalib:
try:
from LArCellRec.LArCellRecConf import LArCellEmMiscalib
theLArCellEmMiscalib = LArCellEmMiscalib("LArCellEmMiscalib")
except Exception:
mlog.error("could not get handle to LArCellEmMisCalib Quit")
print(traceback.format_exc())
return False
# examples on how to change miscalibration. Default values are 0.005 and 0.007
# theLArCellEmMiscalib.SigmaPerRegion = 0.005
# theLArCellEmMiscalib.SigmaPerCell = 0.005
ToolSvc += theLArCellEmMiscalib
try:
from CaloRec.CaloRecConf import CaloCellContainerCorrectorTool
from CaloIdentifier import SUBCALO
theMisCalibTool = CaloCellContainerCorrectorTool(
"MisCalibTool",
CaloNums=[SUBCALO.LAREM],
CellCorrectionToolNames=[theLArCellEmMiscalib])
except Exception:
mlog.error("could not get handle to MisCalibTool Quit")
print(traceback.format_exc())
return False
theCaloCellMaker += theMisCalibTool
theCaloCellMaker.CaloCellMakerToolNames += [theMisCalibTool]
#
# Pedestal shift correction
#
doPedestalCorr = False
if jobproperties.CaloCellFlags.doPedestalCorr.statusOn:
if jobproperties.CaloCellFlags.doPedestalCorr() and (
jobproperties.CaloCellFlags.doPileupOffsetBCIDCorr):
doPedestalCorr = True
mlog.info("Apply cell level pedestal shift correction")
if doPedestalCorr:
try:
from CaloCellCorrection.CaloCellPedestalCorrDefault import CaloCellPedestalCorrDefault
theCaloCellPedestalCorr = CaloCellPedestalCorrDefault()
theCaloCellMaker += theCaloCellPedestalCorr
theCaloCellMaker.CaloCellMakerToolNames += [
theCaloCellPedestalCorr
]
except Exception:
mlog.error("could not get handle to CaloCellPedestalCorr")
print(traceback.format_exc())
#
# Correction for MinBias energy shift for MC pileup reco
#
doMinBiasAverage = False
if jobproperties.CaloCellFlags.doMinBiasAverage.statusOn:
from AthenaCommon.BeamFlags import jobproperties
if jobproperties.CaloCellFlags.doMinBiasAverage(
) and globalflags.DataSource() == 'geant4' and (
not jobproperties.Beam.zeroLuminosity()):
doMinBiasAverage = True
if doMinBiasAverage:
try:
from CaloTools.CaloMBAverageToolDefault import CaloMBAverageToolDefault
theCaloMBAverageTool = CaloMBAverageToolDefault()
except Exception:
mlog.error("could not get handle to CaloMBAverageTool Quit")
print(traceback.format_exc())
return False
ToolSvc += theCaloMBAverageTool
try:
from CaloCellCorrection.CaloCellCorrectionConf import CaloCellMBAverageCorr
theCaloCellMBAverageCorr = CaloCellMBAverageCorr(
"CaloCellMBAverageCorr")
theCaloCellMBAverageCorr.CaloMBAverageTool = theCaloMBAverageTool
except Exception:
mlog.error(
"could not get handle to CaloCellMBAverageCorr Quit")
print(traceback.format_exc())
return False
ToolSvc += theCaloCellMBAverageCorr
try:
from CaloRec.CaloRecConf import CaloCellContainerCorrectorTool
from CaloIdentifier import SUBCALO
theMBAverageTool = CaloCellContainerCorrectorTool(
"MBAverageTool",
CaloNums=[SUBCALO.NSUBCALO],
CellCorrectionToolNames=[theCaloCellMBAverageCorr])
except Exception:
mlog.error(
"could not get handle to CaloCellContainerCorrectorTool/MBAverageTool Quit"
)
print(traceback.format_exc())
return False
theCaloCellMaker += theMBAverageTool
theCaloCellMaker.CaloCellMakerToolNames += [theMBAverageTool]
#
# Correction for dead cells, where we average the energy density of neighbor cells
#
doNeighborsAverage = False
if jobproperties.CaloCellFlags.doDeadCellCorr.statusOn:
if jobproperties.CaloCellFlags.doDeadCellCorr():
doNeighborsAverage = True
if doNeighborsAverage:
try:
from CaloCellCorrection.CaloCellCorrectionConf import CaloCellNeighborsAverageCorr
theCaloCellNeighborsAverageCorr = CaloCellNeighborsAverageCorr(
"CaloCellNeighborsAverageCorr")
theCaloCellNeighborsAverageCorr.testMode = False
except Exception:
mlog.error(
"could not get handle to CaloCellNeighborsAverageCorr Quit"
)
print(traceback.format_exc())
return False
theCaloCellMaker += theCaloCellNeighborsAverageCorr
theCaloCellMaker.CaloCellMakerToolNames += [
theCaloCellNeighborsAverageCorr
]
#
# correction for missing Febs based on L1 readout
doLArDeadOTXCorr = False
if jobproperties.CaloCellFlags.doLArDeadOTXCorr.statusOn and jobproperties.CaloCellFlags.doLArCreateMissingCells.statusOn:
if jobproperties.CaloCellFlags.doLArDeadOTXCorr(
) and jobproperties.CaloCellFlags.doLArCreateMissingCells(
) and doStandardCellReconstruction:
if rec.doTrigger():
doLArDeadOTXCorr = True
else:
mlog.warning(
"Trigger is switched off. Can't run deadOTX correction."
)
if doLArDeadOTXCorr:
try:
from LArCellRec.LArCellDeadOTXCorrToolDefault import LArCellDeadOTXCorrToolDefault
theLArCellDeadOTXCorr = LArCellDeadOTXCorrToolDefault()
except Exception:
mlog.error("could not get handle to LArCellDeadOTXCorr Quit")
print(traceback.format_exc())
theCaloCellMaker += theLArCellDeadOTXCorr
theCaloCellMaker.CaloCellMakerToolNames += [theLArCellDeadOTXCorr]
# make lots of checks (should not be necessary eventually)
# to print the check add:
from CaloRec.CaloRecConf import CaloCellContainerCheckerTool
theCaloCellContainerCheckerTool = CaloCellContainerCheckerTool()
# FIXME
# theCaloCellContainerCheckerTool.OutputLevel=DEBUG
theCaloCellMaker += theCaloCellContainerCheckerTool
theCaloCellMaker.CaloCellMakerToolNames += [
theCaloCellContainerCheckerTool
]
# sets output key
theCaloCellMaker.CaloCellsOutputName = self.outputKey()
# register output in objKeyStore
from RecExConfig.ObjKeyStore import objKeyStore
objKeyStore.addStreamESD(self.outputType(), self.outputKey())
# Also note that we produce it as a transient output.
objKeyStore.addTransient(self.outputType(), self.outputKey())
from TileRecUtils.TileDQstatusAlgDefault import TileDQstatusAlgDefault
TileDQstatusAlgDefault()
# now add algorithm to topSequence
# this should always come at the end
mlog.info(" now adding CaloCellMaker to topSequence")
from AthenaCommon.AlgSequence import AlgSequence
topSequence = AlgSequence()
topSequence += theCaloCellMaker
return True
'Stream'].split("_")[1]
if StreamFromFile == 'express':
theLArOddCellsMonTool.monitoredStreams = ["RNDM"]
ToolSvc += theLArOddCellsMonTool
LArMon.AthenaMonTools += [theLArOddCellsMonTool]
#if jobproperties.Beam.beamType() == 'cosmics':
# In physic/cosmic run, consider only sample 0 and high gain for EMEC and medium gain for HEC - Removed for 15.3.0
# theLArOddCellsMonTool.sampleNumber = 0
theLArOddCellsMonTool.gainMonitored = ["HIGH", "MEDIUM"]
theLArOddCellsMonTool.maxOfTimingHisto = 40000 # Increase the time axis for long cosmic run
if not (ReadCOOL):
# Pedestal/noise reference will be computed from nbEvtsComputePeds first events
theLArOddCellsMonTool.retrieveFromCool = False
if (MaskBadChannel):
from LArBadChannelTool.LArBadChannelToolConf import LArBadChannelMasker
theLArOddCellsMasker = LArBadChannelMasker("LArOddCellsMasker")
theLArOddCellsMasker.DoMasking = True
theLArOddCellsMasker.ProblemsToMask = [
"deadReadout", "deadPhys", "almostDead", "short", "sporadicBurstNoise",
"highNoiseHG", "highNoiseMG", "highNoiseLG"
]
ToolSvc += theLArOddCellsMasker
ToolSvc.LArOddCellsMonTool.LArBadChannelMask = theLArOddCellsMasker
#ToolSvc.LArOddCellsMonTool.OutputLevel = DEBUG
def LArCellMonConfigCore(helper, algclass, inputFlags, isCosmics=False, isMC=False, algname='LArCellMonAlg'):
LArCellMonAlg = helper.addAlgorithm(algclass, algname)
if isCosmics:
badChanMaskProblems=["deadReadout","deadPhys","short","sporadicBurstNoise","highNoiseHG","highNoiseMG","highNoiseLG"]
else:
badChanMaskProblems=["deadReadout","deadPhys","almostDead","short","sporadicBurstNoise","unstableNoiseLG","unstableNoiseMG","unstableNoiseHG","highNoiseHG","highNoiseMG","highNoiseLG"]
from AthenaConfiguration.ComponentFactory import isRun3Cfg
if isRun3Cfg():
from LArBadChannelTool.LArBadChannelConfig import LArBadChannelMaskerCfg
acc= LArBadChannelMaskerCfg(inputFlags,problemsToMask=badChanMaskProblems,ToolName="BadLArRawChannelMask")
LArCellMonAlg.LArBadChannelMask=acc.popPrivateTools()
helper.resobj.merge(acc)
else:
from LArBadChannelTool.LArBadChannelToolConf import LArBadChannelMasker
theLArBadChannelsMasker=LArBadChannelMasker("BadLArRawChannelMask")
theLArBadChannelsMasker.DoMasking=True
theLArBadChannelsMasker.ProblemsToMask=badChanMaskProblems
LArCellMonAlg.LArBadChannelMask=theLArBadChannelsMasker
if not isCosmics and not isMC:
LArCellMonAlg.useReadyFilterTool=True
else:
LArCellMonAlg.useReadyFilterTool=False
if isMC:
LArCellMonAlg.useBadLBTool=False
else:
LArCellMonAlg.useBadLBTool=True
# FIXME: to be added: if isCosmics or rec.triggerStream()!='CosmicCalo':
LArCellMonAlg.useBeamBackgroundRemoval = False
# FIXME: to be added: else:
# FIXME: to be added: LArCellMonAlg.useBeamBackgroundRemoval = True
GroupName="LArCellMon"
LArCellMonAlg.MonGroupName = GroupName
LArCellMonAlg.MonGroupName_perJob = GroupName+"PerJob"
LArCellMonAlg.MonGroupName_OccupancyEtaPhi = GroupName+"_OccupancyEtaPhi"
LArCellMonAlg.MonGroupName_PercentageOccupancyEtaPhi = GroupName+"_PercentageOccupancyEtaPhi"
LArCellMonAlg.MonGroupName_OccupancyEta = GroupName+"_OccupancyEta"
LArCellMonAlg.MonGroupName_OccupancyPhi = GroupName+"_OccupancyPhi"
LArCellMonAlg.MonGroupName_TotEnergyEtaPhi = GroupName+"_TotEnergyEtaPhi"
LArCellMonAlg.MonGroupName_AvgQualityEtaPhi = GroupName+"_AvgQualityEtaPhi"
LArCellMonAlg.MonGroupName_FractionOverQthEtaPhi = GroupName+"_FractionOverQthEtaPhi"
LArCellMonAlg.MonGroupName_AvgTimeEtaPhi = GroupName+"_AvgTimeEtaPhi"
LArCellMonAlg.MonGroupName_FractionPastTthEtaPhi = GroupName+"_FractionPastTthEtaPhi"
LArCellMonAlg.EnableLumi = True
LArCellMonAlg.Sporadic_switch = isCosmics
LArCellMonAlg.Threshold_EM_S0S1=5000.
LArCellMonAlg.Threshold_HECFCALEMS2S3=15000.
from CaloMonitoring.LArCellBinning import lArCellBinningScheme
binlabels=["TotalEvents","ATLAS Ready","with Good LAr LB","with No LAr Collision","with No Beam Background", "with No Trigger Filter","with No LArError"]
# Global Settings:
# All 2D plot occupancy are activate only for express and cosmiccalo
#FIXME to be added if (isCosmics or rec.triggerStream()=='CosmicCalo' or rec.triggerStream()=='express' or rec.triggerStream()=='Main' or rec.triggerStream()<=='ZeroBias') or (inputFlags.Common.isOnline):
#FIXME to be added do2DOcc = True
#FIXME to be added else:
#FIXME to be added do2DOcc = False
do2DOcc = True #TMP
thresholdDict = {}
thresholdDict["ThresholdType"] = [ "noEth_CSCveto", "noEth_rndm_CSCveto", "medEth_CSCveto", "5Sigma_CSCveto", "hiEth_CSCveto", "hiEth_noVeto", "met_CSCveto" ]
thresholdDict["ThresholdDirection"] = [ "none" , "none" , "both" , "both" , "over" , "over" , "over" ]
thresholdDict["TriggersToInclude"] = [ "all" , "all" , "all" , "all" , "all" , "all" , "met" ]
thresholdDict["TriggersToExclude"] = [ "none" , "none" , "none" , "none" , "none" , "none" , "none" ]
thresholdDict["DoPercentageOccupancy"] = [ True , False , True , False , False , False , False ]
thresholdDict["DoEtaPhiOccupancy"] = [ True , False , False , do2DOcc,do2DOcc, do2DOcc , False ]
thresholdDict["DoEtaOccupancy"] = [ False , False , isCosmics , False , False , False , False ]
thresholdDict["DoPhiOccupancy"] = [ False , False , True , False , False , False , False ]
thresholdDict["DoEtaPhiAverageEnergy"] = [ False , do2DOcc , False , do2DOcc , False , False , False ]
thresholdDict["DoEtaPhiTotalEnergy"] = [ False , False , False , False , False , False , False ]
thresholdDict["DoEtaPhiEnergyRMS"] = [ False , False , False , False , False , False , False ]
thresholdDict["DoEtaPhiRMSvsDBnoise"] = [ False , False , False , False , False , False , False ]
thresholdDict["DoEtaPhiAverageQuality"] = [ False , False , False , False , False , False , False ]
thresholdDict["DoEtaPhiFractionOverQth"]= [ False , False , False , False , do2DOcc , do2DOcc , False ]
thresholdDict["QualityFactorThreshold"] = [ 4000. ]*7
thresholdDict["DoEtaPhiAverageTime"] = [ False , False , False , (not isCosmics) , False , False , False ]
thresholdDict["DoEtaPhiFractionPastTth"]= [ False , False , False , (not isCosmics) , False , False , False ]
thresholdDict["TimeThreshold"] = [ 4. ]*7
thresholdDict["ThresholdTitleTemplates"]= ["no Threshold",
"no Threshold",
"|E_{cell}| > %0.f#sigma_{noise}^{database}",
"E_{cell} beyond %0.f#sigma_{noise}^{database}",
"E_{cell} > %0.f MeV",
"E_{cell} > %0.f MeV",
"E_{cell} > %0.f MeV, MET trigger"]
thresholdDict["DefaultThresholds"] = [-4000000.,-4000000. , 3. , 5. , 500. , 500. , 1000. ]
thresholdDict["ThresholdinSigNoise"] = [ False , False , True , True , False , False , False ]
#check that thresholds are set properly before passing them to the algorithm
nthr = len(thresholdDict["ThresholdType"])
if not all(len(thrProp)==nthr for thrProp in thresholdDict.values()):
from AthenaCommon.Logging import logging
mlog = logging.getLogger( 'LArCellMonLog' )
mlog.error("LArCellMonAlg:: CONFIGURATION ERROR, threshold properties have different lenght. Please check CaloMonitoring/python/LArCellMonAlg.py")
exit(1)
pass
LArCellMonAlg.ThresholdType = thresholdDict["ThresholdType"]
LArCellMonAlg.ThresholdDirection = thresholdDict["ThresholdDirection"]
LArCellMonAlg.TriggersToInclude = thresholdDict["TriggersToInclude"]
LArCellMonAlg.TriggersToExclude = thresholdDict["TriggersToExclude"]
LArCellMonAlg.QualityFactorThreshold = thresholdDict["QualityFactorThreshold"]
LArCellMonAlg.TimeThreshold = thresholdDict["TimeThreshold"]
LArCellMonAlg.DoBeamBackgroundRemoval=[( "CSCveto" in thr ) for thr in thresholdDict["ThresholdType"]]
# Defaults: (Can be over ridden by layer specific values) ; plots will be made for all layers with DefaultThreshold != -9999999
LArCellMonAlg.ThresholdTitleTemplates= thresholdDict["ThresholdTitleTemplates"]
LArCellMonAlg.DefaultThresholds = thresholdDict["DefaultThresholds"]
LArCellMonAlg.ThresholdinSigNoise = thresholdDict["ThresholdinSigNoise"]
LArCellMonAlg.ThresholdColumnType = ["hiEth_CSCveto", "hiEth_noVeto"]
# EMB
LArCellMonAlg.EMBP_Thresh = [ 800. , 800. ]
LArCellMonAlg.EMB1_Thresh = [ 600. , 600. ]
LArCellMonAlg.EMB2_Thresh = [ 600. , 600. ]
LArCellMonAlg.EMB3_Thresh = [ 600. , 600. ]
# EMEC
LArCellMonAlg.EMECP_Thresh = [ 1200. , 1200. ]
LArCellMonAlg.EMEC1_Thresh = [ 800. , 800. ]
LArCellMonAlg.EMEC2_Thresh = [ 800. , 800. ]
LArCellMonAlg.EMEC3_Thresh = [ 800. , 800. ]
# HEC
LArCellMonAlg.HEC0_Thresh = [ 4000. , 4000. ]
LArCellMonAlg.HEC1_Thresh = [ 4000. , 4000. ]
LArCellMonAlg.HEC2_Thresh = [ 4000. , 4000. ]
LArCellMonAlg.HEC3_Thresh = [ 4000. , 4000. ]
# FCAL
LArCellMonAlg.FCAL1_Thresh = [ 6000. , 6000. ]
LArCellMonAlg.FCAL2_Thresh = [ 6000. , 6000. ]
LArCellMonAlg.FCAL3_Thresh = [ 6000. , 6000. ]
#set the string arrays for the groups
LArCellMonAlg.DoEtaPhiTotalOccupancyNames=[thr for i_thr,thr in enumerate(thresholdDict["ThresholdType"]) if ( thresholdDict["DoEtaPhiOccupancy"][i_thr] and not thresholdDict["DoPercentageOccupancy"][i_thr] )
or thresholdDict["DoEtaPhiAverageEnergy"][i_thr]
or thresholdDict["DoEtaPhiAverageQuality"][i_thr]
or thresholdDict["DoEtaPhiAverageTime"][i_thr]]
LArCellMonAlg.DoEtaPhiPercentageOccupancyNames=[thr for i_thr,thr in enumerate(thresholdDict["ThresholdType"]) if thresholdDict["DoEtaPhiOccupancy"][i_thr] and thresholdDict["DoPercentageOccupancy"][i_thr]]
LArCellMonAlg.DoEtaOccupancyNames=[thr for i_thr,thr in enumerate(thresholdDict["ThresholdType"]) if thresholdDict["DoEtaOccupancy"][i_thr]]
LArCellMonAlg.DoPhiOccupancyNames=[thr for i_thr,thr in enumerate(thresholdDict["ThresholdType"]) if thresholdDict["DoPhiOccupancy"][i_thr]]
LArCellMonAlg.DoEtaPhiTotEnergyNames=[thr for i_thr,thr in enumerate(thresholdDict["ThresholdType"]) if thresholdDict["DoEtaPhiTotalEnergy"][i_thr] or thresholdDict["DoEtaPhiAverageEnergy"][i_thr]]
LArCellMonAlg.DoEtaPhiAvgQualityNames=[thr for i_thr,thr in enumerate(thresholdDict["ThresholdType"]) if thresholdDict["DoEtaPhiAverageQuality"][i_thr]]
LArCellMonAlg.DoEtaPhiFractionOverQthNames=[thr for i_thr,thr in enumerate(thresholdDict["ThresholdType"]) if thresholdDict["DoEtaPhiFractionOverQth"][i_thr]]
LArCellMonAlg.DoEtaPhiAvgTimeNames=[thr for i_thr,thr in enumerate(thresholdDict["ThresholdType"]) if thresholdDict["DoEtaPhiAverageTime"][i_thr]]
LArCellMonAlg.DoEtaPhiFractionPastTthNames=[thr for i_thr,thr in enumerate(thresholdDict["ThresholdType"]) if thresholdDict["DoEtaPhiFractionPastTth"][i_thr]]
#---Groups and arrays
#FIXME: need option to switch between weightedEfficiency and weightedAverage (depends on when the average is computed: if post-processing is done after merging, I don't want 'weightedMerge' options, otherwise I do. Not implemented for now)
#---single Group for non threshold histograms
cellMonGroup = helper.addGroup(
LArCellMonAlg,
GroupName,
'/CaloMonitoring/LArCellMon_NoTrigSelNewAlg/'
)
#--define histograms
# Summary
summ_hist_path='Summary/'
from CaloMonitoring.CaloMonAlgBase import CaloBaseHistConfig
CaloBaseHistConfig(cellMonGroup,summ_hist_path,binlabels)
cellMonGroup.defineHistogram('trigType;nEvtsByTrigger',
title='Total Events: bin 0, RNDM Trigger: 1, Calo Trigger: 2, MinBias Trigger: 3, MET Trigger: 4, Misc Trigger: 5, Events Selected for Noise Plots: 6 ',
type='TH1I', path=summ_hist_path,
xbins=lArCellBinningScheme.larCellSummary["xbins"][0], xmin=lArCellBinningScheme.larCellSummary["xbins"][1], xmax=lArCellBinningScheme.larCellSummary["xbins"][2],
xlabels=lArCellBinningScheme.larCellSummary["xlabels"])
#total events, saved if percentage occupancy is required
cellMonGroup.defineHistogram('eventCounter;nEvtsPerThreshold',
title='Events events passed Trigger and Background removal for each threshold (for normalisation)',
type='TH1I', path=summ_hist_path,
xbins=len(thresholdDict["ThresholdType"]),xmin=-0.5, xmax=(len(thresholdDict["ThresholdType"])-0.5),
xlabels=thresholdDict["ThresholdType"])
# En.
LArCellMonAlg.doUnnormalized1DEnergy=True
energy_hist_path='Energy/'
if not isCosmics:
for part in LArCellMonAlg.LayerNames:
cellMonGroup.defineHistogram('cellEnergy_'+part+';CellEnergy_'+part,
title='Cell Energy in ' +part+' with CSC veto;Cell Energy [MeV];Cell Events',
type='TH1F', path=energy_hist_path,
xbins=lArCellBinningScheme.logEnergyBins)
pass
elif isCosmics:
for part in LArCellMonAlg.LayerNames:
cellMonGroup.defineHistogram('cellEnergy_'+part+';CellEnergy_'+part,
title='Cell Energy in ' +part+' with CSC veto;Cell Energy [MeV];Cell Events',
type='TH1F', path=energy_hist_path,
xbins=lArCellBinningScheme.cosmicEneBinning[part][0], xmin=lArCellBinningScheme.cosmicEneBinning[part][1], xmax=lArCellBinningScheme.cosmicEneBinning[part][2])
pass
else:
for part in LArCellMonAlg.LayerNames:
cellMonGroup.defineHistogram('cellEnergy_'+part+';CellEnergy_'+part,
title='Cell Energy in ' +part+' with CSC veto;Cell Energy [MeV];Cell Events',
type='TH1F', path=energy_hist_path,
xbins=lArCellBinningScheme.defaultEnergyBins[0],xmin=lArCellBinningScheme.defaultEnergyBins[1],xmax=lArCellBinningScheme.defaultEnergyBins[2])
pass
#En vs. Time
energyvstime_hist_path='EnergyVsTime/'
# eCutForTiming = [1000., 1000., 3000., 1500., 3500., 3500., 3500., 3500., 1500., 3000., 3000., 2000., 10000., 10000., 10000.]
eCutForTiming = LArCellMonAlg.EcutForTiming #taken from the values hardcoded in the .h, only way to prevent mixing everything up with the enum in the code
idx=0
for part in LArCellMonAlg.LayerNames:
cellMonGroup.defineHistogram('cellTime_'+part+',cellEnergy_'+part+';CellEnergyVsTime_'+part,
title='Cell Energy vs Cell Time in '+part+' with CSC veto;Cell Time [ns];Cell Energy [MeV]',
type='TH2F', path=energyvstime_hist_path,
xbins=lArCellBinningScheme.timescale, ybins=lArCellBinningScheme.energyscale)
cellMonGroup.defineHistogram('cellTime_'+part+'_cut;CellEnergyVsTime_'+part+'_'+str(eCutForTiming[idx//2]),
title='Cell Energy vs Cell Time in '+part+' with CSC veto - Cell Time (E>'+str(eCutForTiming[idx//2])+' [MeV]);Cell Time [ns];Cell Energy [MeV]',
weight='cellEnergy_'+part+'_cut',
cutmask='enGreaterThanCut_'+part,
type='TH1F', path=energyvstime_hist_path,
xbins=lArCellBinningScheme.timescale)
idx=idx+1
pass
cellMonGroupPerJob = helper.addGroup(
LArCellMonAlg,
LArCellMonAlg.MonGroupName_perJob,
'/CaloMonitoring/LArCellMon_NoTrigSelNewAlg/'
)
LArCellMonAlg.doKnownBadChannelsVsEtaPhi = True
LArCellMonAlg.doDatabaseNoiseVsEtaPhi = True
for part in LArCellMonAlg.LayerNames:
cellMonGroupPerJob.defineHistogram('celleta_'+part+',cellphi_'+part+';KnownBadChannelsVsEtaPhi_'+part,
title="Map of known bad channels in (#eta,#phi) for "+part+";cell #eta;cell #phi",
weight='badCellWord_'+part,
cutmask='fillBadChannelPlot',
type='TH2F', path="KnownBadChannels/",
xbins = lArCellBinningScheme.etaRange[part],
ybins = lArCellBinningScheme.phiRange[part],
merge='weightedAverage'
)
cellMonGroupPerJob.defineHistogram('celleta_'+part+',cellphi_'+part+';DatabaseNoiseVsEtaPhi_'+part,
title="Map of Noise Values from the Database vs (#eta,#phi) for "+part+";cell #eta;cell #phi",
weight='cellnoisedb_'+part,
cutmask='doDatabaseNoisePlot',
type='TH2F', path="DatabaseNoise/",
xbins = lArCellBinningScheme.etaRange[part],
ybins = lArCellBinningScheme.phiRange[part],
merge='weightedAverage')
cellMonGroupPerJob.defineHistogram('celleta_'+part+';NCellsActiveVsEta_'+part,
title="No. of Active Cells in #eta for "+part+";cell #eta",
cutmask='doCellsActiveEtaPlot',
type='TH1F', path="ActiveCells/",
xbins = lArCellBinningScheme.etaRange[part],
merge='weightedAverage')
cellMonGroupPerJob.defineHistogram('cellphi_'+part+';NCellsActiveVsPhi_'+part,
title="No. of Active Cells in #phi for "+part+";cell #phi",
cutmask='doCellsActivePhiPlot',
type='TH1F', path="ActiveCells/",
xbins = lArCellBinningScheme.phiRange[part],
merge='weightedAverage')
pass #part loop
#--- group array for threshold dependent histograms
allMonArray = helper.addArray([LArCellMonAlg.LayerNames, LArCellMonAlg.ThresholdType], LArCellMonAlg, "allMon",
"/CaloMonitoring/LArCellMon_NoTrigSelNewAlg/")
#now histograms
for part in LArCellMonAlg.LayerNames:
allMonArray.defineHistogram('dummy', type='TH1F', xbins=1, xmin=0, xmax=1) # dummy to have at least 1 plot defined
allMonArray.defineHistogram('celleta,cellphi;CellOccupancyVsEtaPhi',
title='No. of events in (#eta,#phi) for '+part+';cell #eta;cell #phi',
type='TH2F', path="2d_Occupancy/",
cutmask='passThrCut',
xbins = lArCellBinningScheme.etaRange[part],
ybins = lArCellBinningScheme.phiRange[part],
pattern=[(part, _) for _ in LArCellMonAlg.DoEtaPhiTotalOccupancyNames])
allMonArray.defineHistogram('passThrCut,celleta,cellphi;CellOccupancyFractionVsEtaPhi',
title='Fraction of events in (#eta,#phi) for '+part+';cell #eta;cell #phi',
type='TEfficiency', path="2d_Occupancy/",
xbins = lArCellBinningScheme.etaRange[part],
ybins = lArCellBinningScheme.phiRange[part],
pattern=[(part, _) for _ in LArCellMonAlg.DoEtaPhiPercentageOccupancyNames])
allMonArray.defineHistogram('celleta;CellOccupancyVsEta', #needs weightedAverage/weightedEff
title='No. of events in (#eta) for '+part+';cell #eta;',
type='TH1F', path="1d_Occupancy/",
cutmask='passThrCut',
xbins = lArCellBinningScheme.etaRange[part],
pattern=[(part, _) for _ in LArCellMonAlg.DoEtaOccupancyNames])
allMonArray.defineHistogram('cellphi;CellOccupancyVsPhi',
title='No. of events in (#phi) for '+part+';cell #phi;',
type='TH1F', path="1d_Occupancy/",
cutmask='passThrCut',
xbins = lArCellBinningScheme.phiRange[part],
pattern=[(part, _) for _ in LArCellMonAlg.DoPhiOccupancyNames])
allMonArray.defineHistogram('celleta,cellphi;TotalEnergyVsEtaPhi',
title="Total Cell Energy vs (#eta,#phi) in "+part+";cell #eta;cell #phi",
weight='cellEnergy',
type='TH2F', path="2d_TotalEnergy/",
cutmask='passThrCut',
xbins = lArCellBinningScheme.etaRange[part],
ybins = lArCellBinningScheme.phiRange[part],
pattern=[(part, _) for _ in LArCellMonAlg.DoEtaPhiTotEnergyNames])
allMonArray.defineHistogram('celleta,cellphi;TotalQualityVsEtaPhi',
title="Cell Quality vs (#eta,#phi) in "+part+";cell #eta;cell #phi",
weight='cellQuality',
type='TH2F', path="2d_AvgQuality/", #needs to be divided by '2D_occupancy' at post processing stage
cutmask='passThrCut',
xbins = lArCellBinningScheme.etaRange[part],
ybins = lArCellBinningScheme.phiRange[part],
pattern=[(part, _) for _ in LArCellMonAlg.DoEtaPhiAvgQualityNames])
allMonArray.defineHistogram('celleta,cellphi;TotalTimeVsEtaPhi',
title="Cell Time vs (#eta,#phi) in "+part+";cell #eta;cell #phi",
weight='cellTime',
type='TH2F', path="2d_AvgTime/", #needs to be divided by '2D_occupancy' at post processing stage
cutmask='passThrCut',
xbins = lArCellBinningScheme.etaRange[part],
ybins = lArCellBinningScheme.phiRange[part],
pattern=[(part, _) for _ in LArCellMonAlg.DoEtaPhiAvgTimeNames])
allMonArray.defineHistogram('celleta,cellphi;fractionOverQthVsEtaPhi',
title="Fraction of Events in "+part+" for which the Quality Factor exceeds Threshold;cell #eta;cell #phi",
weight='isPoorQuality',
type='TH2F', path="2d_PoorQualityFraction/", # needs postprocessing
cutmask='passThrCut',
xbins = lArCellBinningScheme.etaRange[part],
ybins = lArCellBinningScheme.phiRange[part],
pattern=[(part, _) for _ in LArCellMonAlg.DoEtaPhiFractionOverQthNames])
allMonArray.defineHistogram('celleta,cellphi;fractionPastTthVsEtaPhi',
title="Fraction of Events in "+part+" for which the Time is further than Threshold;cell #eta;cell #phi",
weight='isLateTime',
type='TH2F', path="2d_FractionOutOfTime/", # needs postprocessing
cutmask='passThrCut',
xbins = lArCellBinningScheme.etaRange[part],
ybins = lArCellBinningScheme.phiRange[part],
pattern=[(part, _) for _ in LArCellMonAlg.DoEtaPhiFractionPastTthNames])
pass #part loop for occupancy
#-- TTree for sporadic
if LArCellMonAlg.Sporadic_switch:
sporadic_hist_path='/Sporadic_'+str(LArCellMonAlg.Threshold_EM_S0S1)+'*1e-3_'+str(LArCellMonAlg.Threshold_HECFCALEMS2S3)+'*1e-3GeV/'
cellMonGroup.defineTree('sporadicCellE,sporadicCellTime,sporadicCellQuality,sporadicCellID,lumiBlock,adoptedEThreshold;SporadicNoisyCellsTree', path=sporadic_hist_path,
treedef='sporadicCellE/F:sporadicCellTime/F:sporadicCellQuality/s:sporadicCellID/l:lumiBlock/i')
def __init__(self,
name='LArShapeDumper',
digitsKey='FREE',
noiseSignifCut=3,
doStream=False,
doShape=True,
doTrigger=True,
doOFCIter=True,
prescale=1,
triggerNames=triggersToCheck,
caloType='EMHECFCAL',
dumpChannelInfos=False,
addToAlgSeq=True):
super(LArShapeDumper, self).__init__(name)
theDumperTool = DefaultShapeDumperTool(doShape=doShape)
self.LArShapeDumperTool = theDumperTool
if doStream:
from AthenaPoolCnvSvc.WriteAthenaPool import AthenaPoolOutputStream
StreamLArSamples = AthenaPoolOutputStream('StreamLArSamples',
'LArSamples.root', True)
topSequence.StreamLArSamples.ItemList += [
'LArSamplesContainer#Samples'
]
topSequence.StreamLArSamples_FH.ItemList += [
'LArSamplesContainer#Samples'
]
StreamLArSamples.WriteOnExecute = False
StreamLArSamples.WriteOnFinalize = True
else:
from AthenaCommon.AppMgr import ServiceMgr as svcMgr
svcMgr.AthenaSealSvc.DictNames += ["LArCafJobsDict"]
self.CaloType = caloType
self.Prescale = prescale
self.NoiseSignifCut = noiseSignifCut
self.DoTrigger = doTrigger
self.DoStream = doStream
self.DoOFCIter = doOFCIter
self.DumpChannelInfos = dumpChannelInfos
self.DumpDisconnected = dumpChannelInfos
#self.ChannelsKey = 'LArRawChannels_FromDigits'
self.ChannelsKey = 'LArRawChannels'
self.TriggerNames = triggerNames
from AthenaCommon.AppMgr import ToolSvc
from LArRecUtils.LArADC2MeVToolDefault import LArADC2MeVToolDefault
theADC2MeVTool = LArADC2MeVToolDefault()
ToolSvc += theADC2MeVTool
self.ADC2MeVTool = theADC2MeVTool
if doShape:
from IOVDbSvc.CondDB import conddb
conddb.addFolder(
'LAR_OFL',
'/LAR/ElecCalibOfl/AutoCorrs/AutoCorr<tag>LARElecCalibOflAutoCorrsAutoCorr-RUN2-UPD3-00</tag>'
)
# use the shapes without residual corrections by default (makes it easier to compute new residuals)
conddb.addOverride(
'/LAR/ElecCalibOfl/Shape/RTM/5samples1phase',
'LARElecCalibOflShapeRTM5samples1phase-RUN2-UPD1-04')
masker = LArBadChannelMasker('LArBadChannelMasker')
masker.DoMasking = True
masker.ProblemsToMask = [
'deadReadout', 'deadPhys', 'almostDead', 'short', 'highNoiseHG',
'highNoiseMG', 'highNoiseLG'
]
self.BadChannelMasker = masker
self.DigitsKey = digitsKey
if doOFCIter:
from AthenaCommon.AppMgr import ToolSvc
if hasattr(ToolSvc, 'LArRawChannelBuilderToolOFCIter'):
ToolSvc.LArRawChannelBuilderToolOFCIter.StoreTiming = True
if addToAlgSeq:
from AthenaCommon.AlgSequence import AlgSequence
topSequence = AlgSequence()
topSequence += self
print self
def LArRODMonConfigCore(helper,
algoinstance,
inputFlags,
cellDebug=False,
dspDebug=False):
larRODMonAlg = helper.addAlgorithm(algoinstance, 'larRODMonAlg')
from LArMonitoring.GlobalVariables import lArDQGlobals
GroupName = "RODMon"
nslots = []
for i in range(0, len(lArDQGlobals.FEB_Slot)):
nslots.append(lArDQGlobals.FEB_Slot[lArDQGlobals.Partitions[i]][1])
larRODMonAlg.MonGroup = GroupName
larRODMonAlg.LArRODSubDetNames = lArDQGlobals.SubDet
larRODMonAlg.LArRODPartitionNames = lArDQGlobals.Partitions
larRODMonAlg.LArRODNslots = nslots
#Adding 1MeV on request of Alexis (truncating difference) (May 2016):
larRODMonAlg.PrecisionERange0 = 2 # MeV (Precision on E is on Eoff - Eonl)
larRODMonAlg.PrecisionERange1 = 9
larRODMonAlg.PrecisionERange2 = 65
larRODMonAlg.PrecisionERange3 = 513
larRODMonAlg.PrecisionERangeMax = 8192
larRODMonAlg.ADCthreshold = 0
larRODMonAlg.peakTimeCut = 5.
larRODMonAlg.SkipNullQT = True
# for detailed debugging
if cellDebug:
larRODMonAlg.DoCellsDump = True
if dspDebug:
larRODMonAlg.DoDspTestDump = True
#from AthenaCommon.Constants import VERBOSE
#larRODMonAlg.OutputLevel=VERBOSE
from AthenaConfiguration.ComponentFactory import isRun3Cfg
if isRun3Cfg():
# adding BadChan masker private tool
from LArBadChannelTool.LArBadChannelConfig import LArBadChannelMaskerCfg
acc = LArBadChannelMaskerCfg(inputFlags,
problemsToMask=[
"highNoiseHG", "highNoiseMG",
"highNoiseLG", "deadReadout",
"deadPhys", "almostDead", "short",
"sporadicBurstNoise"
],
ToolName="BadLArChannelMask")
larRODMonAlg.LArBadChannelMask = acc.popPrivateTools()
helper.resobj.merge(acc)
else:
from LArBadChannelTool.LArBadChannelToolConf import LArBadChannelMasker
theLArBadChannelsMasker = LArBadChannelMasker("BadLArRawChannelMask")
theLArBadChannelsMasker.DoMasking = True
theLArBadChannelsMasker.ProblemsToMask = [
"deadReadout", "deadPhys", "short", "almostDead", "highNoiseHG",
"highNoiseMG", "highNoiseLG", "sporadicBurstNoise"
]
larRODMonAlg.LArBadChannelMask = theLArBadChannelsMasker
Group = helper.addGroup(larRODMonAlg, GroupName,
'/LAr/DSPMonitoringNewAlg')
#Summary histos
summary_hist_path = 'Summary/'
Group.defineHistogram(
'partition,gain;Summary_E',
title='Summary of errors on Energy per partition and per gain',
type='TH2F',
path=summary_hist_path,
weight='weight_e',
xbins=lArDQGlobals.N_Partitions,
xmin=-0.5,
xmax=lArDQGlobals.N_Partitions - 0.5,
ybins=lArDQGlobals.N_Gains,
ymin=-0.5,
ymax=lArDQGlobals.N_Gains - 0.5,
xlabels=lArDQGlobals.Partitions,
ylabels=lArDQGlobals.Gains)
Group.defineHistogram(
'partition,gain;Summary_Q',
title='Summary of errors on Quality per partition and per gain',
type='TH2F',
path=summary_hist_path,
weight='weight_q',
xbins=lArDQGlobals.N_Partitions,
xmin=-0.5,
xmax=lArDQGlobals.N_Partitions - 0.5,
ybins=lArDQGlobals.N_Gains,
ymin=-0.5,
ymax=lArDQGlobals.N_Gains - 0.5,
xlabels=lArDQGlobals.Partitions,
ylabels=lArDQGlobals.Gains)
Group.defineHistogram(
'partition,gain;Summary_T',
title='Summary of errors on Time per partition and per gain',
type='TH2F',
path=summary_hist_path,
weight='weight_t',
xbins=lArDQGlobals.N_Partitions,
xmin=-0.5,
xmax=lArDQGlobals.N_Partitions - 0.5,
ybins=lArDQGlobals.N_Gains,
ymin=-0.5,
ymax=lArDQGlobals.N_Gains - 0.5,
xlabels=lArDQGlobals.Partitions,
ylabels=lArDQGlobals.Gains)
Group.defineHistogram(
'Ediff;E_all',
title=
'E_offline - E_online for all partitions;E_offline - E_online (MeV)',
type='TH1F',
path=summary_hist_path,
xbins=lArDQGlobals.DSPEnergy_Bins,
xmin=lArDQGlobals.DSPEnergy_Min,
xmax=lArDQGlobals.DSPEnergy_Max)
Group.defineHistogram(
'Tdiff;T_all',
title=
'T_offline - T_online for all partitions;T_offline - T_online (ps)',
type='TH1F',
path=summary_hist_path,
xbins=lArDQGlobals.DSPTime_Bins,
xmin=lArDQGlobals.DSPTime_Min,
xmax=lArDQGlobals.DSPTime_Max)
Group.defineHistogram(
'Qdiff;Q_all',
title=
'Q_offline - Q_online / #sqrt{Q_offline} for all partitions;Q_offline - Q_online / sqrt{Q_offline} (ps)',
type='TH1F',
path=summary_hist_path,
xbins=lArDQGlobals.DSPQuality_Bins,
xmin=lArDQGlobals.DSPQuality_Min,
xmax=lArDQGlobals.DSPQuality_Max)
#Infos histos (vs. LB)
info_hist_path = 'Infos/'
cut = "#delta ADC>" + str(
larRODMonAlg.ADCthreshold) + " and |t_offline| < " + str(
larRODMonAlg.peakTimeCut) + " ns"
Group.defineHistogram('LBN,partitionI;EErrorsPerLB',
title='Nb of errors in E per LB - ' + cut +
':Luminosity Block:Partition',
type='TH2I',
weight='numE',
path=info_hist_path,
xbins=lArDQGlobals.LB_Bins,
xmin=lArDQGlobals.LB_Min,
xmax=lArDQGlobals.LB_Max,
ybins=lArDQGlobals.N_Partitions,
ymin=-0.5,
ymax=lArDQGlobals.N_Partitions - 0.5,
ylabels=lArDQGlobals.Partitions)
Group.defineHistogram('LBN,partitionI;TErrorsPerLB',
title='Nb of errors in T per LB - ' + cut +
':Luminosity Block:Partition',
type='TH2I',
weight='numT',
path=info_hist_path,
xbins=lArDQGlobals.LB_Bins,
xmin=lArDQGlobals.LB_Min,
xmax=lArDQGlobals.LB_Max,
ybins=lArDQGlobals.N_Partitions,
ymin=-0.5,
ymax=lArDQGlobals.N_Partitions - 0.5,
ylabels=lArDQGlobals.Partitions)
Group.defineHistogram('LBN,partitionI;QErrorsPerLB',
title='Nb of errors in Q per LB - ' + cut +
':Luminosity Block:Partition',
type='TH2I',
weight='numQ',
path=info_hist_path,
xbins=lArDQGlobals.LB_Bins,
xmin=lArDQGlobals.LB_Min,
xmax=lArDQGlobals.LB_Max,
ybins=lArDQGlobals.N_Partitions,
ymin=-0.5,
ymax=lArDQGlobals.N_Partitions - 0.5,
ylabels=lArDQGlobals.Partitions)
#DQMD histos
dqmd_hist_path = '/LAr/DSPMonitoringNewAlg/DQMD/'
darray = helper.addArray([lArDQGlobals.Partitions], larRODMonAlg, "RODMon")
darray.defineHistogram(
'Ediff,Erange;DE_ranges',
title=
'EOnline - E_offline for all ranges : E_offline - E_online (MeV) : Energy range', #'E_online - E_offline for all ranges : E_offline - E_online (MeV) : Energy range',
type='TH2F',
path=dqmd_hist_path,
xbins=lArDQGlobals.DSP1Energy_Bins,
xmin=lArDQGlobals.DSP1Energy_Min,
xmax=lArDQGlobals.DSP1Energy_Max,
ybins=lArDQGlobals.DSPRanges_Bins,
ymin=lArDQGlobals.DSPRanges_Min,
ymax=lArDQGlobals.DSPRanges_Max,
ylabels=lArDQGlobals.DSPRanges)
Group.defineHistogram(
'Ediff,Erange;E_ranges_all',
title=
'E_online - E_offline for all ranges : E_offline - E_online (MeV) : Energy range',
type='TH2F',
path=dqmd_hist_path,
xbins=lArDQGlobals.DSP1Energy_Bins,
xmin=lArDQGlobals.DSP1Energy_Min,
xmax=lArDQGlobals.DSP1Energy_Max,
ybins=lArDQGlobals.DSPRanges_Bins,
ymin=lArDQGlobals.DSPRanges_Min,
ymax=lArDQGlobals.DSPRanges_Max,
ylabels=lArDQGlobals.DSPRanges)
#per partition, currently in one dir only
part_hist_path = '/LAr/DSPMonitoringNewAlg/perPartition/'
darray.defineHistogram('Ediff;DE',
title='E_offline - E_online:E_offline - E_online',
type='TH1F',
path=part_hist_path,
xbins=lArDQGlobals.DSPEnergy_Bins,
xmin=lArDQGlobals.DSPEnergy_Min,
xmax=lArDQGlobals.DSPEnergy_Max)
darray.defineHistogram('Tdiff;DT',
title='T_offline - T_online:T_offline - T_online',
type='TH1F',
path=part_hist_path,
xbins=lArDQGlobals.DSPTime_Bins,
xmin=lArDQGlobals.DSPTime_Min,
xmax=lArDQGlobals.DSPTime_Max)
darray.defineHistogram(
'Qdiff;DG',
title='Q_offline - Q_online:Q_offline - Q_online / #sqrtQ_offline',
type='TH1F',
path=part_hist_path,
xbins=lArDQGlobals.DSPTime_Bins,
xmin=lArDQGlobals.DSPTime_Min,
xmax=lArDQGlobals.DSPTime_Max)
darray.defineHistogram(
'slot,FT;Out_E_FT_vs_SLOT',
title=
'# of cells with E_offline - E_online > numerical precision : Slot : Feedthrough',
type='TH2I',
path=part_hist_path,
weight='weight_e',
xbins=lArDQGlobals.FEB_Slot["EMECA"][1],
xmin=lArDQGlobals.FEB_Slot["EMECA"][0] - 0.5,
xmax=lArDQGlobals.FEB_Slot["EMECA"][1] + 0.5,
ybins=lArDQGlobals.FEB_Feedthrough["EMBA"][1] + 1,
ymin=lArDQGlobals.FEB_Feedthrough["EMBA"][0] - 0.5,
ymax=lArDQGlobals.FEB_Feedthrough["EMBA"][1] + 0.5)
darray.defineHistogram(
'slot,FT;Out_T_FT_vs_SLOT',
title=
'# of cells with E_offline - E_online > numerical precision : Slot : Feedthrough',
type='TH2I',
path=part_hist_path,
weight='weight_t',
xbins=lArDQGlobals.FEB_Slot["EMECA"][1],
xmin=lArDQGlobals.FEB_Slot["EMECA"][0] - 0.5,
xmax=lArDQGlobals.FEB_Slot["EMECA"][1] + 0.5,
ybins=lArDQGlobals.FEB_Feedthrough["EMBA"][1] + 1,
ymin=lArDQGlobals.FEB_Feedthrough["EMBA"][0] - 0.5,
ymax=lArDQGlobals.FEB_Feedthrough["EMBA"][1] + 0.5)
darray.defineHistogram(
'slot,FT;Out_Q_FT_vs_SLOT',
title=
'# of cells with E_offline - E_online > numerical precision : Slot : Feedthrough',
type='TH2I',
path=part_hist_path,
weight='weight_q',
xbins=lArDQGlobals.FEB_Slot["EMECA"][1],
xmin=lArDQGlobals.FEB_Slot["EMECA"][0] - 0.5,
xmax=lArDQGlobals.FEB_Slot["EMECA"][1] + 0.5,
ybins=lArDQGlobals.FEB_Feedthrough["EMBA"][1] + 1,
ymin=lArDQGlobals.FEB_Feedthrough["EMBA"][0] - 0.5,
ymax=lArDQGlobals.FEB_Feedthrough["EMBA"][1] + 0.5)
darray.defineHistogram(
'Eoff,Eon;Eon_VS_Eoff',
title='E_online VS E_offline:E_offline (MeV):E_online (MeV)',
type='TH2F',
path=part_hist_path,
xbins=lArDQGlobals.DSPEonEoff_Bins,
xmin=-lArDQGlobals.DSPEonEoff_Max,
xmax=lArDQGlobals.DSPEonEoff_Max,
ybins=lArDQGlobals.DSPEonEoff_Bins,
ymin=-lArDQGlobals.DSPEonEoff_Max,
ymax=lArDQGlobals.DSPEonEoff_Max)
darray.defineHistogram(
'Toff,Ton;Ton_VS_Toff',
title='T_online VS T_offline:T_offline (ps):T_online (ps)',
type='TH2F',
path=part_hist_path,
xbins=lArDQGlobals.DSPTonToff_Bins,
xmin=-lArDQGlobals.DSPTonToff_Max,
xmax=lArDQGlobals.DSPTonToff_Max,
ybins=lArDQGlobals.DSPTonToff_Bins,
ymin=-lArDQGlobals.DSPTonToff_Max,
ymax=lArDQGlobals.DSPTonToff_Max)
darray.defineHistogram('Qoff,Qon;Qon_VS_Qoff',
title='Q_online VS Q_offline:Q_offline :Q_online ',
type='TH2F',
path=part_hist_path,
xbins=lArDQGlobals.DSPQonQoff_Bins,
xmin=-lArDQGlobals.DSPQonQoff_Max,
xmax=lArDQGlobals.DSPQonQoff_Max,
ybins=lArDQGlobals.DSPQonQoff_Bins,
ymin=-lArDQGlobals.DSPQonQoff_Max,
ymax=lArDQGlobals.DSPQonQoff_Max)
darray.defineHistogram(
'Sweetc;Sweet_cells',
title='Number of sweet Cells in LAr:Sweet cells per feb',
type='TH1F',
path=part_hist_path,
xbins=lArDQGlobals.FEB_N_channels,
xmin=lArDQGlobals.FEB_channels_Min,
xmax=lArDQGlobals.FEB_channels_Max)
def LArCosmicsMonConfigCore(helper, algoinstance,inputFlags):
from LArMonitoring.GlobalVariables import lArDQGlobals
larCosmicsMonAlg = helper.addAlgorithm(algoinstance,'larCosmicsMonAlg')
larCosmicsMonAlg.CosmicsMonGroupName = 'LarCosmicsMonGroup'
larCosmicsMonAlg.MuonADCthreshold_EM_barrel = 30
larCosmicsMonAlg.MuonADCthreshold_EM_endcap = 40
larCosmicsMonAlg.MuonADCthreshold_HEC = 40
larCosmicsMonAlg.MuonADCthreshold_FCAL = 40
# adding BadChan masker private tool
from AthenaCommon.Configurable import Configurable
if Configurable.configurableRun3Behavior :
from AthenaConfiguration.ComponentAccumulator import ComponentAccumulator
cfg=ComponentAccumulator()
from LArBadChannelTool.LArBadChannelConfig import LArBadChannelMaskerCfg
acc= LArBadChannelMaskerCfg(inputFlags,problemsToMask=["highNoiseHG","highNoiseMG","highNoiseLG","deadReadout","deadPhys"],ToolName="BadLArRawChannelMask")
larCosmicsMonAlg.LArBadChannelMask=acc.popPrivateTools()
cfg.merge(acc)
else :
from LArBadChannelTool.LArBadChannelToolConf import LArBadChannelMasker
theLArBadChannelsMasker=LArBadChannelMasker("BadLArRawChannelMask")
theLArBadChannelsMasker.DoMasking=True
theLArBadChannelsMasker.ProblemsToMask=["deadReadout","deadPhys","short","almostDead","highNoiseHG","highNoiseMG","highNoiseLG","sporadicBurstNoise"]
larCosmicsMonAlg.LArBadChannelMask=theLArBadChannelsMasker
pass
#mon group
cosmicMonGroup = helper.addGroup(
larCosmicsMonAlg,
larCosmicsMonAlg.CosmicsMonGroupName,
'/LAr/',
'run'
)
cosmic_path="CosmicsNewAlg/"
EM_bins=lArDQGlobals.Cell_Variables["etaRange"]["EMEC"]["C"]["2"]+lArDQGlobals.Cell_Variables["etaRange"]["EMB"]["C"]["2"]+lArDQGlobals.Cell_Variables["etaRange"]["EMB"]["A"]["2"]+lArDQGlobals.Cell_Variables["etaRange"]["EMEC"]["A"]["2"]
cosmicMonGroup.defineHistogram('mon_eta_EM,mon_phi;Muon2DHitsECAL',
type='TH2F',
path=cosmic_path,
title='Cosmics Seeds - Digit Max > '+str(int(larCosmicsMonAlg.MuonADCthreshold_EM_barrel))+'/'+str(int(larCosmicsMonAlg.MuonADCthreshold_EM_endcap))+' [ADC] in S2 Barrel/Endcap - EM;#eta cell;#phi cell;Number of Hits',
xbins=EM_bins,
ybins=lArDQGlobals.Cell_Variables["phiRange"]["EMB"]["A"]["2"])
HEC_bins=lArDQGlobals.Cell_Variables["etaRange"]["HEC"]["C"]["1"]+lArDQGlobals.Cell_Variables["etaRange"]["HEC"]["A"]["1"]
cosmicMonGroup.defineHistogram('mon_eta_HEC,mon_phi;Muon2DHitsHCAL',
type='TH2F',
path=cosmic_path,
title='Cosmics Seeds - Digit Max > '+str(int(larCosmicsMonAlg.MuonADCthreshold_HEC))+' [ADC] in S1 HEC;#eta cell;#phi cell;Number of Hits',
xbins=HEC_bins,
ybins=lArDQGlobals.Cell_Variables["phiRange"]["HEC"]["A"]["1"])
FCal_bins=lArDQGlobals.Cell_Variables["etaRange"]["FCal"]["C"]["2"]+lArDQGlobals.Cell_Variables["etaRange"]["FCal"]["A"]["2"]
cosmicMonGroup.defineHistogram('mon_eta_FCal,mon_phi;Muon2DHitsFCAL',
type='TH2F',
path=cosmic_path,
title='Cosmics Seeds - Digit Max > '+str(int(larCosmicsMonAlg.MuonADCthreshold_FCAL))+' [ADC] in S2 FCal;#eta cell;#phi cell;Number of Hits',
xbins=FCal_bins,
ybins=lArDQGlobals.Cell_Variables["phiRange"]["FCal"]["A"]["2"])
def LArCoverageConfigCore(helper, algoinstance, inputFlags):
larCoverageAlg = helper.addAlgorithm(algoinstance, 'LArCoverageAlg')
# adding BadChan masker private tool
from AthenaConfiguration.ComponentFactory import isRun3Cfg
if isRun3Cfg():
from LArBadChannelTool.LArBadChannelConfig import LArBadChannelMaskerCfg #,LArBadChannelCfg
acc = LArBadChannelMaskerCfg(inputFlags,
problemsToMask=[
"highNoiseHG", "highNoiseMG",
"highNoiseLG", "deadReadout",
"deadPhys"
],
ToolName="BadLArRawChannelMask")
larCoverageAlg.LArBadChannelMask = acc.popPrivateTools()
helper.resobj.merge(acc)
else:
from LArBadChannelTool.LArBadChannelToolConf import LArBadChannelMasker
theLArRCBMasker = LArBadChannelMasker("BadLArRawChannelMask")
theLArRCBMasker.DoMasking = True
theLArRCBMasker.ProblemsToMask = [
"deadReadout", "deadPhys", "highNoiseHG", "highNoiseMG",
"highNoiseLG"
]
larCoverageAlg.LArBadChannelMask = theLArRCBMasker
from LArMonitoring.GlobalVariables import lArDQGlobals
#define the group names here, as you'll use them multiple times
caloNoiseToolGroupName = "CaloNoise"
nLayers = 4
badChannelsGroupName = "BadChannels"
coverageHWGroupName = "Coverage"
partitionsBarrel = [
lArDQGlobals.SubDet[0] + side for side in lArDQGlobals.Sides
]
partitionsEndcap = [
lArDQGlobals.SubDet[ip] + side for side in lArDQGlobals.Sides
for ip in range(1, len(lArDQGlobals.SubDet))
]
# Edit properties of a algorithm
larCoverageAlg.CaloNoiseToolGroupName = caloNoiseToolGroupName
larCoverageAlg.Nsample = nLayers
larCoverageAlg.BadChannelsGroupName = badChannelsGroupName
larCoverageAlg.Sides = lArDQGlobals.Sides
larCoverageAlg.CoverageHWGroupName = coverageHWGroupName
larCoverageAlg.CoverageBarrelPartitions = partitionsBarrel
larCoverageAlg.CoverageEndcapPartitions = partitionsEndcap
larCoverageAlg.NphiBinsEMB1 = lArDQGlobals.Cell_Variables["phiNbin"][
"EMB"]["A"]["1"]
larCoverageAlg.NphiBinsEMEC2 = lArDQGlobals.Cell_Variables["phiNbin"][
"EMEC"]["A"]["2"]
larCoverageAlg.NphiBinsHEC = [
lArDQGlobals.Cell_Variables["phiNbin"]["HEC"]["A"]["0"],
lArDQGlobals.Cell_Variables["phiNbin"]["HEC"]["A"]["1"],
lArDQGlobals.Cell_Variables["phiNbin"]["HEC"]["A"]["2"],
lArDQGlobals.Cell_Variables["phiNbin"]["HEC"]["A"]["3"]
]
#Configure the CaloNoise
from CaloTools.CaloNoiseCondAlg import CaloNoiseCondAlg
CaloNoiseCondAlg(noisetype="electronicNoise")
#-- caloNoise groups --
caloNoiseToolArrayEM = helper.addArray([nLayers], larCoverageAlg,
caloNoiseToolGroupName + "EM")
caloNoiseToolArrayHEC = helper.addArray([nLayers], larCoverageAlg,
caloNoiseToolGroupName + "HEC")
caloNoiseToolArrayFCAL = helper.addArray([nLayers], larCoverageAlg,
caloNoiseToolGroupName + "FCAL")
caloNoiseToolGroup = helper.addGroup( #for the LB histogram
larCoverageAlg, caloNoiseToolGroupName, '/LAr/', 'run')
#-- badChannels groups --
badChannelToolArrayBarrel = helper.addArray(
[lArDQGlobals.Sides], larCoverageAlg, badChannelsGroupName + "Barrel",
'/LAr/', 'run')
badChannelToolArrayEndcap = helper.addArray(
[lArDQGlobals.Sides], larCoverageAlg, badChannelsGroupName + "EndCap",
'/LAr/', 'run')
#-- CoverageHW groups --
availErrCode = larCoverageAlg.AvailableErrorCodes
#-- Coverage groups (eta-phi plots) --
coverageToolArrayEMBA = helper.addArray([availErrCode], larCoverageAlg,
coverageHWGroupName + "EMBA",
'/LAr/', 'run')
coverageToolArrayEMECA = helper.addArray([availErrCode], larCoverageAlg,
coverageHWGroupName + "EMECA",
'/LAr/', 'run')
coverageToolArrayHECA = helper.addArray([availErrCode], larCoverageAlg,
coverageHWGroupName + "HECA",
'/LAr/', 'run')
coverageToolArrayFCalA = helper.addArray([availErrCode], larCoverageAlg,
coverageHWGroupName + "FCalA",
'/LAr/', 'run')
coverageToolArrayEMBC = helper.addArray([availErrCode], larCoverageAlg,
coverageHWGroupName + "EMBC",
'/LAr/', 'run')
coverageToolArrayEMECC = helper.addArray([availErrCode], larCoverageAlg,
coverageHWGroupName + "EMECC",
'/LAr/', 'run')
coverageToolArrayHECC = helper.addArray([availErrCode], larCoverageAlg,
coverageHWGroupName + "HECC",
'/LAr/', 'run')
coverageToolArrayFCalC = helper.addArray([availErrCode], larCoverageAlg,
coverageHWGroupName + "FCalC",
'/LAr/', 'run')
### Configure histograms
coveragePath = 'CoverageNewAlg/'
# -- caloNoiseTool histograms --
caloNoiseTool_path = coveragePath + 'CaloNoiseTool/'
#LB histogram: need to know which LB the CaloNoiseTool histogram is about. Only add to caloNoiseToolGroup to avoid duplicates
caloNoiseToolGroup.defineHistogram(
'lb1_x;FirstLBnumber',
type='TH1D',
path=caloNoiseTool_path,
title='CaloNoiseTool histogram are filled from this LB;;LB number',
weight='lb1',
xbins=1,
xmin=-1,
xmax=1)
caloNoiseToolArrayEM.defineHistogram('etaChan,noise;CaloNoiseEM_Sampling',
type='TProfile',
path='LAr/' + caloNoiseTool_path,
title='DBNoise in EM',
xbins=lArDQGlobals.etaCaloNoise_Bins,
xmax=lArDQGlobals.etaCaloNoise_Max,
xmin=lArDQGlobals.etaCaloNoise_Min)
caloNoiseToolArrayHEC.defineHistogram(
'etaChan,noise;CaloNoiseHEC_Sampling',
type='TProfile',
path='LAr/' + caloNoiseTool_path,
title='DBNoise in HEC',
xbins=lArDQGlobals.etaCaloNoise_Bins,
xmax=lArDQGlobals.etaCaloNoise_Max,
xmin=lArDQGlobals.etaCaloNoise_Min)
caloNoiseToolArrayFCAL.defineHistogram(
'etaChan,noise;CaloNoiseFCAL_Sampling',
type='TProfile',
path='LAr/' + caloNoiseTool_path,
title='DBNoise in FCAL',
xbins=lArDQGlobals.etaCaloNoise_FcalBins,
xmax=lArDQGlobals.etaCaloNoise_FcalMax,
xmin=lArDQGlobals.etaCaloNoise_FcalMin)
# -- badChannels histograms --
badChannels_path = coveragePath + 'BadChannels/'
badChannelToolArrayBarrel.defineHistogram(
'mon_FtSlot,single_channel;DBBadChannelsBarrel',
type='TH2I',
path=badChannels_path,
title=
'Known Bad Channels - Barrel {0};Feedthrough(+Slot increasing);Channel',
weight='flag',
xbins=lArDQGlobals.Feedthrough_Slot_Nbins[
"EMBA"], #bins from A side also used for C, they're the same
xmin=lArDQGlobals.Feedthrough_Slot_range["EMBA"][0],
xmax=lArDQGlobals.Feedthrough_Slot_range["EMBA"][1],
ybins=lArDQGlobals.FEB_N_channels,
ymin=-0.5,
ymax=lArDQGlobals.FEB_N_channels - 0.5,
xlabels=lArDQGlobals.Feedthrough_Slot_labels_Barrel,
merge='weightedAverage')
badChannelToolArrayEndcap.defineHistogram(
'mon_FtSlot,single_channel;DBBadChannelsEndcap',
type='TH2I',
path=badChannels_path,
title=
'Known Bad Channels - Endcap {0};Feedthrough(+Slot increasing);Channel',
weight='flag',
xbins=lArDQGlobals.Feedthrough_Slot_Nbins[
"EMECA"], #bins from A side also used for C, they're the same
xmin=lArDQGlobals.Feedthrough_Slot_range["EMECA"][0],
xmax=lArDQGlobals.Feedthrough_Slot_range["EMECA"][1],
ybins=lArDQGlobals.FEB_N_channels,
ymin=-0.5,
ymax=lArDQGlobals.FEB_N_channels - 0.5,
xlabels=lArDQGlobals.Feedthrough_Slot_labels_Endcap,
merge='weightedAverage')
#--coverageHW histograms
coverage_path = coveragePath + 'perPartition/'
coverageToolArrayEMBA.defineHistogram(
'mon_ChanFtSlot,mon_Channels;CoverageHW_EMBA_statusCode',
type='TH2I',
path=coverage_path,
title=
'Coverage - EMBA - statusCode={0};Feedthrough(+Slot increasing);Channel',
xbins=lArDQGlobals.Feedthrough_Slot_Nbins["EMBA"],
xmin=lArDQGlobals.Feedthrough_Slot_range["EMBA"][0],
xmax=lArDQGlobals.Feedthrough_Slot_range["EMBA"][1],
ybins=lArDQGlobals.FEB_N_channels,
ymin=-0.5,
ymax=lArDQGlobals.FEB_N_channels - 0.5,
xlabels=lArDQGlobals.Feedthrough_Slot_labels_Barrel)
coverageToolArrayEMBC.defineHistogram(
'mon_ChanFtSlot,mon_Channels;CoverageHW_EMBC_statusCode',
type='TH2I',
path=coverage_path,
title=
'Coverage - EMBC - statusCode={0};Feedthrough(+Slot increasing);Channel',
xbins=lArDQGlobals.Feedthrough_Slot_Nbins["EMBC"],
xmin=lArDQGlobals.Feedthrough_Slot_range["EMBC"][0],
xmax=lArDQGlobals.Feedthrough_Slot_range["EMBC"][1],
ybins=lArDQGlobals.FEB_N_channels,
ymin=-0.5,
ymax=lArDQGlobals.FEB_N_channels - 0.5,
xlabels=lArDQGlobals.Feedthrough_Slot_labels_Barrel)
coverageToolArrayEMECA.defineHistogram(
'mon_ChanFtSlot,mon_Channels;CoverageHW_EMECA_statusCode',
type='TH2I',
path=coverage_path,
title=
'Coverage - EMECA - statusCode={0};Feedthrough(+Slot increasing);Channel',
xbins=lArDQGlobals.Feedthrough_Slot_Nbins["EMECA"],
xmin=lArDQGlobals.Feedthrough_Slot_range["EMECA"][0],
xmax=lArDQGlobals.Feedthrough_Slot_range["EMECA"][1],
ybins=lArDQGlobals.FEB_N_channels,
ymin=-0.5,
ymax=lArDQGlobals.FEB_N_channels - 0.5,
xlabels=lArDQGlobals.Feedthrough_Slot_labels_Endcap)
coverageToolArrayEMECC.defineHistogram(
'mon_ChanFtSlot,mon_Channels;CoverageHW_EMECA_statusCode',
type='TH2I',
path=coverage_path,
title=
'Coverage - EMECC - statusCode={0};Feedthrough(+Slot increasing);Channel',
xbins=lArDQGlobals.Feedthrough_Slot_Nbins["EMECC"],
xmin=lArDQGlobals.Feedthrough_Slot_range["EMECC"][0],
xmax=lArDQGlobals.Feedthrough_Slot_range["EMECC"][1],
ybins=lArDQGlobals.FEB_N_channels,
ymin=-0.5,
ymax=lArDQGlobals.FEB_N_channels - 0.5,
xlabels=lArDQGlobals.Feedthrough_Slot_labels_Endcap)
coverageToolArrayHECA.defineHistogram(
'mon_ChanFtSlot,mon_Channels;CoverageHW_HECA_statusCode',
type='TH2I',
path=coverage_path,
title=
'Coverage - HECA - statusCode={0};Feedthrough(+Slot increasing);Channel',
xbins=lArDQGlobals.Feedthrough_Slot_Nbins["HECA"],
xmin=lArDQGlobals.Feedthrough_Slot_range["HECA"][0],
xmax=lArDQGlobals.Feedthrough_Slot_range["HECA"][1],
ybins=lArDQGlobals.FEB_N_channels,
ymin=-0.5,
ymax=lArDQGlobals.FEB_N_channels - 0.5,
xlabels=lArDQGlobals.Feedthrough_Slot_labels_Endcap)
coverageToolArrayHECC.defineHistogram(
'mon_ChanFtSlot,mon_Channels;CoverageHW_HECA_statusCode',
type='TH2I',
path=coverage_path,
title=
'Coverage - HECC - statusCode={0};Feedthrough(+Slot increasing);Channel',
xbins=lArDQGlobals.Feedthrough_Slot_Nbins["HECC"],
xmin=lArDQGlobals.Feedthrough_Slot_range["HECC"][0],
xmax=lArDQGlobals.Feedthrough_Slot_range["HECC"][1],
ybins=lArDQGlobals.FEB_N_channels,
ymin=-0.5,
ymax=lArDQGlobals.FEB_N_channels - 0.5,
xlabels=lArDQGlobals.Feedthrough_Slot_labels_Endcap)
coverageToolArrayFCalA.defineHistogram(
'mon_ChanFtSlot,mon_Channels;CoverageHW_FCalA_statusCode',
type='TH2I',
path=coverage_path,
title=
'Coverage - FCalA - statusCode={0};Feedthrough(+Slot increasing);Channel',
xbins=lArDQGlobals.Feedthrough_Slot_Nbins["FCalA"],
xmin=lArDQGlobals.Feedthrough_Slot_range["FCalA"][0],
xmax=lArDQGlobals.Feedthrough_Slot_range["FCalA"][1],
ybins=lArDQGlobals.FEB_N_channels,
ymin=-0.5,
ymax=lArDQGlobals.FEB_N_channels - 0.5,
xlabels=lArDQGlobals.Feedthrough_Slot_labels_Endcap)
coverageToolArrayFCalC.defineHistogram(
'mon_ChanFtSlot,mon_Channels;CoverageHW_FCalC_statusCode',
type='TH2I',
path=coverage_path,
title=
'Coverage - FCalC - statusCode={0};Feedthrough(+Slot increasing);Channel',
xbins=lArDQGlobals.Feedthrough_Slot_Nbins["FCalC"],
xmin=lArDQGlobals.Feedthrough_Slot_range["FCalC"][0],
xmax=lArDQGlobals.Feedthrough_Slot_range["FCalC"][1],
ybins=lArDQGlobals.FEB_N_channels,
ymin=-0.5,
ymax=lArDQGlobals.FEB_N_channels - 0.5,
xlabels=lArDQGlobals.Feedthrough_Slot_labels_Endcap)
coverageToolArrayEMBA.defineHistogram(
'mon_Eta,mon_Phi;CoverSampling0EMBA_StatusCode',
type='TH2I',
path=coverage_path,
title='Coverage status code={0} - Sampling 0 - EMBA;#eta;#phi',
cutmask='isSampl0',
xbins=lArDQGlobals.Cell_Variables["etaRange"]["EMB"]["A"]["0"],
ybins=lArDQGlobals.Cell_Variables["phiRange"]["EMB"]["A"]["0"])
coverageToolArrayEMBA.defineHistogram(
'mon_Eta,mon_Phi;CoverSampling1EMBA_StatusCode',
type='TH2I',
path=coverage_path,
title='Coverage status code={0} - Sampling 1 - EMBA;#eta;#phi',
cutmask='isSampl1',
xbins=lArDQGlobals.Cell_Variables["etaRange"]["EMB"]["A"]["1"],
ybins=lArDQGlobals.Cell_Variables["phiRange"]["EMB"]["A"]["1"])
coverageToolArrayEMBA.defineHistogram(
'mon_Eta,mon_Phi;CoverSampling2EMBA_StatusCode',
type='TH2I',
path=coverage_path,
title='Coverage status code={0} - Sampling 2 - EMBA;#eta;#phi',
cutmask='isSampl2',
xbins=lArDQGlobals.Cell_Variables["etaRange"]["EMB"]["A"]["2"],
ybins=lArDQGlobals.Cell_Variables["phiRange"]["EMB"]["A"]["2"])
coverageToolArrayEMBA.defineHistogram(
'mon_Eta,mon_Phi;CoverSampling3EMBA_StatusCode',
type='TH2I',
path=coverage_path,
title='Coverage status code={0} - Sampling 3 - EMBA;#eta;#phi',
cutmask='isSampl3',
xbins=lArDQGlobals.Cell_Variables["etaRange"]["EMB"]["A"]["3"],
ybins=lArDQGlobals.Cell_Variables["phiRange"]["EMB"]["A"]["3"])
coverageToolArrayEMBC.defineHistogram(
'mon_Eta,mon_Phi;CoverSampling0EMBC_StatusCode',
type='TH2I',
path=coverage_path,
title='Coverage status code={0} - Sampling 0 - EMBC;#eta;#phi',
cutmask='isSampl0',
xbins=lArDQGlobals.Cell_Variables["etaRange"]["EMB"]["C"]["0"],
ybins=lArDQGlobals.Cell_Variables["phiRange"]["EMB"]["C"]["0"])
coverageToolArrayEMBC.defineHistogram(
'mon_Eta,mon_Phi;CoverSampling1EMBC_StatusCode',
type='TH2I',
path=coverage_path,
title='Coverage status code={0} - Sampling 1 - EMBC;#eta;#phi',
cutmask='isSampl1',
xbins=lArDQGlobals.Cell_Variables["etaRange"]["EMB"]["C"]["1"],
ybins=lArDQGlobals.Cell_Variables["phiRange"]["EMB"]["C"]["1"])
coverageToolArrayEMBC.defineHistogram(
'mon_Eta,mon_Phi;CoverSampling2EMBC_StatusCode',
type='TH2I',
path=coverage_path,
title='Coverage status code={0} - Sampling 2 - EMBC;#eta;#phi',
cutmask='isSampl2',
xbins=lArDQGlobals.Cell_Variables["etaRange"]["EMB"]["C"]["2"],
ybins=lArDQGlobals.Cell_Variables["phiRange"]["EMB"]["C"]["2"])
coverageToolArrayEMBC.defineHistogram(
'mon_Eta,mon_Phi;CoverSampling3EMBC_StatusCode',
type='TH2I',
path=coverage_path,
title='Coverage status code={0} - Sampling 3 - EMBC;#eta;#phi',
cutmask='isSampl3',
xbins=lArDQGlobals.Cell_Variables["etaRange"]["EMB"]["C"]["3"],
ybins=lArDQGlobals.Cell_Variables["phiRange"]["EMB"]["C"]["3"])
coverageToolArrayEMECA.defineHistogram(
'mon_Eta,mon_Phi;CoverSampling0EMECA_StatusCode',
type='TH2I',
path=coverage_path,
title='Coverage status code={0} - Sampling 0 - EMECA;#eta;#phi',
cutmask='isSampl0',
xbins=lArDQGlobals.Cell_Variables["etaRange"]["EMEC"]["A"]["0"],
ybins=lArDQGlobals.Cell_Variables["phiRange"]["EMEC"]["A"]["0"])
coverageToolArrayEMECA.defineHistogram(
'mon_Eta,mon_Phi;CoverSampling1EMECA_StatusCode',
type='TH2I',
path=coverage_path,
title='Coverage status code={0} - Sampling 1 - EMECA;#eta;#phi',
cutmask='isSampl1',
xbins=lArDQGlobals.Cell_Variables["etaRange"]["EMEC"]["A"]["1"],
ybins=lArDQGlobals.Cell_Variables["phiRange"]["EMEC"]["A"]["1"])
coverageToolArrayEMECA.defineHistogram(
'mon_Eta,mon_Phi;CoverSampling2EMECA_StatusCode',
type='TH2I',
path=coverage_path,
title='Coverage status code={0} - Sampling 2 - EMECA;#eta;#phi',
cutmask='isSampl2',
xbins=lArDQGlobals.Cell_Variables["etaRange"]["EMEC"]["A"]["2"],
ybins=lArDQGlobals.Cell_Variables["phiRange"]["EMEC"]["A"]["2"])
coverageToolArrayEMECA.defineHistogram(
'mon_Eta,mon_Phi;CoverSampling3EMECA_StatusCode',
type='TH2I',
path=coverage_path,
title='Coverage status code={0} - Sampling 3 - EMECA;#eta;#phi',
cutmask='isSampl3',
xbins=lArDQGlobals.Cell_Variables["etaRange"]["EMEC"]["A"]["3"],
ybins=lArDQGlobals.Cell_Variables["phiRange"]["EMEC"]["A"]["3"])
coverageToolArrayEMECC.defineHistogram(
'mon_Eta,mon_Phi;CoverSampling0EMECC_StatusCode',
type='TH2I',
path=coverage_path,
title='Coverage status code={0} - Sampling 0 - EMECC;#eta;#phi',
cutmask='isSampl0',
xbins=lArDQGlobals.Cell_Variables["etaRange"]["EMEC"]["C"]["0"],
ybins=lArDQGlobals.Cell_Variables["phiRange"]["EMEC"]["C"]["0"])
coverageToolArrayEMECC.defineHistogram(
'mon_Eta,mon_Phi;CoverSampling1EMECC_StatusCode',
type='TH2I',
path=coverage_path,
title='Coverage status code={0} - Sampling 1 - EMECC;#eta;#phi',
cutmask='isSampl1',
xbins=lArDQGlobals.Cell_Variables["etaRange"]["EMEC"]["C"]["1"],
ybins=lArDQGlobals.Cell_Variables["phiRange"]["EMEC"]["C"]["1"])
coverageToolArrayEMECC.defineHistogram(
'mon_Eta,mon_Phi;CoverSampling2EMECC_StatusCode',
type='TH2I',
path=coverage_path,
title='Coverage status code={0} - Sampling 2 - EMECC;#eta;#phi',
cutmask='isSampl2',
xbins=lArDQGlobals.Cell_Variables["etaRange"]["EMEC"]["C"]["2"],
ybins=lArDQGlobals.Cell_Variables["phiRange"]["EMEC"]["C"]["2"])
coverageToolArrayEMECC.defineHistogram(
'mon_Eta,mon_Phi;CoverSampling3EMECC_StatusCode',
type='TH2I',
path=coverage_path,
title='Coverage status code={0} - Sampling 3 - EMECC;#eta;#phi',
cutmask='isSampl3',
xbins=lArDQGlobals.Cell_Variables["etaRange"]["EMEC"]["C"]["3"],
ybins=lArDQGlobals.Cell_Variables["phiRange"]["EMEC"]["C"]["3"])
coverageToolArrayHECA.defineHistogram(
'mon_Eta,mon_Phi;CoverSampling0HECA_StatusCode',
type='TH2I',
path=coverage_path,
title='Coverage status code={0} - Sampling 0 - HECA;#eta;#phi',
cutmask='isSampl0',
xbins=lArDQGlobals.Cell_Variables["etaRange"]["HEC"]["A"]["0"],
ybins=lArDQGlobals.Cell_Variables["phiRange"]["HEC"]["A"]["0"])
coverageToolArrayHECA.defineHistogram(
'mon_Eta,mon_Phi;CoverSampling1HECA_StatusCode',
type='TH2I',
path=coverage_path,
title='Coverage status code={0} - Sampling 1 - HECA;#eta;#phi',
cutmask='isSampl1',
xbins=lArDQGlobals.Cell_Variables["etaRange"]["HEC"]["A"]["1"],
ybins=lArDQGlobals.Cell_Variables["phiRange"]["HEC"]["A"]["1"])
coverageToolArrayHECA.defineHistogram(
'mon_Eta,mon_Phi;CoverSampling2HECA_StatusCode',
type='TH2I',
path=coverage_path,
title='Coverage status code={0} - Sampling 2 - HECA;#eta;#phi',
cutmask='isSampl2',
xbins=lArDQGlobals.Cell_Variables["etaRange"]["HEC"]["A"]["2"],
ybins=lArDQGlobals.Cell_Variables["phiRange"]["HEC"]["A"]["2"])
coverageToolArrayHECA.defineHistogram(
'mon_Eta,mon_Phi;CoverSampling3HECA_StatusCode',
type='TH2I',
path=coverage_path,
title='Coverage status code={0} - Sampling 3 - HECA;#eta;#phi',
cutmask='isSampl3',
xbins=lArDQGlobals.Cell_Variables["etaRange"]["HEC"]["A"]["3"],
ybins=lArDQGlobals.Cell_Variables["phiRange"]["HEC"]["A"]["3"])
coverageToolArrayHECC.defineHistogram(
'mon_Eta,mon_Phi;CoverSampling0HECC_StatusCode',
type='TH2I',
path=coverage_path,
title='Coverage status code={0} - Sampling 0 - HECC;#eta;#phi',
cutmask='isSampl0',
xbins=lArDQGlobals.Cell_Variables["etaRange"]["HEC"]["C"]["0"],
ybins=lArDQGlobals.Cell_Variables["phiRange"]["HEC"]["C"]["0"])
coverageToolArrayHECC.defineHistogram(
'mon_Eta,mon_Phi;CoverSampling1HECC_StatusCode',
type='TH2I',
path=coverage_path,
title='Coverage status code={0} - Sampling 1 - HECC;#eta;#phi',
cutmask='isSampl1',
xbins=lArDQGlobals.Cell_Variables["etaRange"]["HEC"]["C"]["1"],
ybins=lArDQGlobals.Cell_Variables["phiRange"]["HEC"]["C"]["1"])
coverageToolArrayHECC.defineHistogram(
'mon_Eta,mon_Phi;CoverSampling2HECC_StatusCode',
type='TH2I',
path=coverage_path,
title='Coverage status code={0} - Sampling 2 - HECC;#eta;#phi',
cutmask='isSampl2',
xbins=lArDQGlobals.Cell_Variables["etaRange"]["HEC"]["C"]["2"],
ybins=lArDQGlobals.Cell_Variables["phiRange"]["HEC"]["C"]["2"])
coverageToolArrayHECC.defineHistogram(
'mon_Eta,mon_Phi;CoverSampling3HECC_StatusCode',
type='TH2I',
path=coverage_path,
title='Coverage status code={0} - Sampling 3 - HECC;#eta;#phi',
cutmask='isSampl3',
xbins=lArDQGlobals.Cell_Variables["etaRange"]["HEC"]["C"]["3"],
ybins=lArDQGlobals.Cell_Variables["phiRange"]["HEC"]["C"]["3"])
coverageToolArrayFCalA.defineHistogram(
'mon_Eta,mon_Phi;CoverSampling1FCalA_StatusCode',
type='TH2I',
path=coverage_path,
title='Coverage status code={0} - Sampling 1 - FCalA;#eta;#phi',
cutmask='isSampl1',
xbins=lArDQGlobals.Cell_Variables["etaRange"]["FCal"]["A"]["1"],
ybins=lArDQGlobals.Cell_Variables["phiRange"]["FCal"]["A"]["1"])
coverageToolArrayFCalA.defineHistogram(
'mon_Eta,mon_Phi;CoverSampling2FCalA_StatusCode',
type='TH2I',
path=coverage_path,
title='Coverage status code={0} - Sampling 2 - FCalA;#eta;#phi',
cutmask='isSampl2',
xbins=lArDQGlobals.Cell_Variables["etaRange"]["FCal"]["A"]["2"],
ybins=lArDQGlobals.Cell_Variables["phiRange"]["FCal"]["A"]["2"])
coverageToolArrayFCalA.defineHistogram(
'mon_Eta,mon_Phi;CoverSampling3FCalA_StatusCode',
type='TH2I',
path=coverage_path,
title='Coverage status code={0} - Sampling 3 - FCalA;#eta;#phi',
cutmask='isSampl3',
xbins=lArDQGlobals.Cell_Variables["etaRange"]["FCal"]["A"]["3"],
ybins=lArDQGlobals.Cell_Variables["phiRange"]["FCal"]["A"]["3"])
coverageToolArrayFCalC.defineHistogram(
'mon_Eta,mon_Phi;CoverSampling1FCalC_StatusCode',
type='TH2I',
path=coverage_path,
title='Coverage status code={0} - Sampling 1 - FCalC;#eta;#phi',
cutmask='isSampl1',
xbins=lArDQGlobals.Cell_Variables["etaRange"]["FCal"]["C"]["1"],
ybins=lArDQGlobals.Cell_Variables["phiRange"]["FCal"]["C"]["1"])
coverageToolArrayFCalC.defineHistogram(
'mon_Eta,mon_Phi;CoverSampling2FCalC_StatusCode',
type='TH2I',
path=coverage_path,
title='Coverage status code={0} - Sampling 2 - FCalC;#eta;#phi',
cutmask='isSampl2',
xbins=lArDQGlobals.Cell_Variables["etaRange"]["FCal"]["C"]["2"],
ybins=lArDQGlobals.Cell_Variables["phiRange"]["FCal"]["C"]["2"])
coverageToolArrayFCalC.defineHistogram(
'mon_Eta,mon_Phi;CoverSampling3FCalC_StatusCode',
type='TH2I',
path=coverage_path,
title='Coverage status code={0} - Sampling 3 - FCalC;#eta;#phi',
cutmask='isSampl3',
xbins=lArDQGlobals.Cell_Variables["etaRange"]["FCal"]["C"]["3"],
ybins=lArDQGlobals.Cell_Variables["phiRange"]["FCal"]["C"]["3"])
def getLArPileUpTool(name='LArPileUpTool', **kwargs): ## useLArFloat()=True,isOverlay()=False,outputKey='LArDigitContainer_MC'):
from AthenaCommon.Logging import logging
mlog = logging.getLogger( 'LArPileUpToolDefault:' )
mlog.info(" ---- in getLArPileUpTool " )
# the LAr and Calo detector description package
## FIXME includes to be replaced by confGetter configuration.
if not isOverlay():
from AthenaCommon.Resilience import protectedInclude
protectedInclude( "CaloDetMgrDetDescrCnv/CaloDetMgrDetDescrCnv_joboptions.py" )
protectedInclude( "LArDetDescr/LArDetDescr_joboptions.py" )
protectedInclude("LArConditionsCommon/LArConditionsCommon_MC_jobOptions.py")
from Digitization.DigitizationFlags import digitizationFlags
kwargs.setdefault('NoiseOnOff', digitizationFlags.doCaloNoise.get_Value() )
kwargs.setdefault('RndmSvc', digitizationFlags.rndmSvc.get_Value() )
digitizationFlags.rndmSeedList.addSeed("LArDigitization", 1234, 5678 )
kwargs.setdefault('DoDigiTruthReconstruction',digitizationFlags.doDigiTruth())
if digitizationFlags.doXingByXingPileUp():
kwargs.setdefault('FirstXing', -751 )
kwargs.setdefault('LastXing', 101 )
from LArDigitization.LArDigitizationFlags import jobproperties
# check if using high gain for Fcal or not
if (not jobproperties.LArDigitizationFlags.useFcalHighGain()) and (not isOverlay()):
mlog.info("do not use high gain in Fcal digitization ")
kwargs.setdefault('HighGainThreshFCAL', 0 )
else:
mlog.info("use high gain in Fcal digitization or overlay job")
# check if using high gain for EMEC IW or not
if (not jobproperties.LArDigitizationFlags.useEmecIwHighGain()) and (not isOverlay()):
mlog.info("do not use high gain in EMEC IW digitization ")
kwargs.setdefault('HighGainThreshEMECIW',0)
kwargs.setdefault('RndmEvtOverlay', isOverlay() )
kwargs.setdefault('DigitContainer', 'LArDigitContainer_MC' ) ##FIXME - should not be hard-coded
# if doing MC+MC overlay
from AthenaCommon.GlobalFlags import globalflags
if isOverlay() and globalflags.DataSource() == 'geant4':
kwargs.setdefault('isMcOverlay',True)
from LArROD.LArRODFlags import larRODFlags
kwargs.setdefault('Nsamples', larRODFlags.nSamples() )
kwargs.setdefault('firstSample', larRODFlags.firstSample() )
if isOverlay() :
kwargs.setdefault('RandomDigitContainer', 'LArDigitContainer_MC' )
# ADC2MeVTool
mlog.info(" ---- set LArADC2MeVToolDefault")
kwargs.setdefault('ADC2MeVTool', 'LArADC2MeVToolDefault')
# Tool for noise autocorrelation generation
kwargs.setdefault('AutoCorrNoiseTool', 'LArAutoCorrNoiseToolDefault')
# bad channel masking
from LArBadChannelTool.LArBadChannelToolConf import LArBadChanTool
theLArBadChannelTool=LArBadChanTool()
from AthenaCommon.AppMgr import ToolSvc
ToolSvc+=theLArBadChannelTool
from LArBadChannelTool.LArBadChannelToolConf import LArBadChannelMasker
theLArRCBMasker=LArBadChannelMasker("LArRCBMasker")
theLArRCBMasker.TheLArBadChanTool = theLArBadChannelTool
theLArRCBMasker.DoMasking=True
theLArRCBMasker.ProblemsToMask=[
"deadReadout","deadPhys"]
ToolSvc+=theLArRCBMasker
kwargs.setdefault('MaskingTool', theLArRCBMasker )
kwargs.setdefault('BadChannelTool', theLArBadChannelTool )
# CosmicTriggerTimeTool for cosmics digitization
from AthenaCommon.BeamFlags import jobproperties
if jobproperties.Beam.beamType == "cosmics" :
from CommissionUtils.CommissionUtilsConf import CosmicTriggerTimeTool
theTriggerTimeTool = CosmicTriggerTimeTool()
ToolSvc += theTriggerTimeTool
kwargs.setdefault('UseTriggerTime', True )
kwargs.setdefault('TriggerTimeToolName', theTriggerTimeTool )
# pileup configuration "algorithm" way
if not digitizationFlags.doXingByXingPileUp():
from AthenaCommon.DetFlags import DetFlags
if DetFlags.pileup.LAr_on() or isOverlay():
kwargs.setdefault('PileUp', True )
kwargs.setdefault('useLArFloat', useLArFloat() )
if useLArFloat():
from AthenaCommon.AppMgr import ServiceMgr as svcMgr
from SGComps.SGCompsConf import AddressRemappingSvc
AddressRemappingSvc = AddressRemappingSvc()
svcMgr += AddressRemappingSvc
from AthenaCommon.ConfigurableDb import getConfigurable
svcMgr += getConfigurable( "ProxyProviderSvc" )()
svcMgr.ProxyProviderSvc.ProviderNames += [ "AddressRemappingSvc" ]
svcMgr.AddressRemappingSvc.TypeKeyOverwriteMaps = [ "LArHitContainer#LArHitEMB->LArHitFloatContainer#LArHitEMB" ,
"LArHitContainer#LArHitEMEC->LArHitFloatContainer#LArHitEMEC",
"LArHitContainer#LArHitHEC->LArHitFloatContainer#LArHitHEC",
"LArHitContainer#LArHitFCAL->LArHitFloatContainer#LArHitFCAL"]
svcMgr.AddressRemappingSvc.ProxyDict="ActiveStoreSvc"
return CfgMgr.LArPileUpTool(name, **kwargs)
def LArDigitMonConfigCore(helper, algoinstance, inputFlags):
from LArMonitoring.GlobalVariables import lArDQGlobals
larDigitMonAlg = helper.addAlgorithm(algoinstance, 'larDigitMonAlg')
summaryGroupName = "Summary"
nslots = []
for i in range(0, len(lArDQGlobals.FEB_Slot)):
nslots.append(lArDQGlobals.FEB_Slot[lArDQGlobals.Partitions[i]][1])
larDigitMonAlg.SummaryMonGroup = summaryGroupName
larDigitMonAlg.LArDigitsSubDetNames = lArDQGlobals.SubDet
larDigitMonAlg.LArDigitsPartitionNames = lArDQGlobals.Partitions
larDigitMonAlg.LArDigitsNslots = nslots
# adding BadChan masker private tool
from AthenaConfiguration.ComponentFactory import isRun3Cfg
if isRun3Cfg():
from AthenaConfiguration.ComponentAccumulator import ComponentAccumulator
cfg = ComponentAccumulator()
from LArBadChannelTool.LArBadChannelConfig import LArBadChannelMaskerCfg
acc = LArBadChannelMaskerCfg(inputFlags,
problemsToMask=[
"highNoiseHG", "highNoiseMG",
"highNoiseLG", "deadReadout",
"deadPhys"
],
ToolName="BadLArRawChannelMask")
larDigitMonAlg.LArBadChannelMask = acc.popPrivateTools()
cfg.merge(acc)
else:
from LArBadChannelTool.LArBadChannelToolConf import LArBadChannelMasker
theLArBadChannelsMasker = LArBadChannelMasker("BadLArRawChannelMask")
theLArBadChannelsMasker.DoMasking = True
theLArBadChannelsMasker.ProblemsToMask = [
"deadReadout", "deadPhys", "short", "almostDead", "highNoiseHG",
"highNoiseMG", "highNoiseLG", "sporadicBurstNoise"
]
larDigitMonAlg.LArBadChannelMask = theLArBadChannelsMasker
summaryGroup = helper.addGroup(larDigitMonAlg, summaryGroupName,
'/LAr/DigitsNewAlg')
summary_hist_path = summaryGroupName + '/'
summaryGroup.defineHistogram('sumbin,partition;Summary',
title='Gain',
type='TH2F',
path=summary_hist_path,
weight='weight',
xbins=lArDQGlobals.N_DigitsSummary,
xmin=-0.5,
xmax=lArDQGlobals.N_DigitsSummary - 0.5,
ybins=lArDQGlobals.N_Partitions,
ymin=-0.5,
ymax=lArDQGlobals.N_Partitions - 0.5,
xlabels=lArDQGlobals.DigitsSummary,
ylabels=lArDQGlobals.Partitions)
summaryGroup.defineHistogram('gain,partition;summaryGain',
title='Gain',
type='TH2F',
path=summary_hist_path,
weight='weight',
xbins=lArDQGlobals.N_Gains,
xmin=-0.5,
xmax=lArDQGlobals.N_Gains - 0.5,
ybins=lArDQGlobals.N_Partitions,
ymin=-0.5,
ymax=lArDQGlobals.N_Partitions - 0.5,
xlabels=lArDQGlobals.Gains,
ylabels=lArDQGlobals.Partitions)
# now individual partitions, because we need a different directories, will have only 2dim arrays (side)
for subdet in range(0, lArDQGlobals.N_SubDet):
array = helper.addArray(
[lArDQGlobals.Partitions[2 * subdet:2 * subdet + 2]],
larDigitMonAlg, lArDQGlobals.SubDet[subdet])
hist_path = '/LAr/DigitsNewAlg/' + lArDQGlobals.SubDet[subdet] + '/'
slot_low = lArDQGlobals.FEB_Slot[lArDQGlobals.Partitions[subdet *
2]][0] - 0.5
slot_up = lArDQGlobals.FEB_Slot[lArDQGlobals.Partitions[subdet *
2]][1] + 0.5
slot_n = int(slot_up - slot_low)
ft_low = lArDQGlobals.FEB_Feedthrough[lArDQGlobals.Partitions[
subdet * 2]][0] - 0.5
ft_up = lArDQGlobals.FEB_Feedthrough[lArDQGlobals.Partitions[
subdet * 2]][1] + 0.5
ft_n = int(ft_up - ft_low)
chan_n = lArDQGlobals.FEB_N_channels
chan_low = lArDQGlobals.FEB_channels_Min
chan_up = lArDQGlobals.FEB_channels_Max
crates_n = lArDQGlobals.FEB_Crates[lArDQGlobals.Partitions[subdet *
2]][1]
crates_low = 0.5
crates_up = lArDQGlobals.FEB_Crates[lArDQGlobals.Partitions[
subdet * 2]][1] + 0.5
array.defineHistogram('Outslot,OutFT;tOutOfRange',
title='% chan/FEB/events with max out of ',
type='TH2I',
path=hist_path,
weight='weight',
xbins=int(slot_n),
xmin=slot_low,
xmax=slot_up,
ybins=int(ft_n),
ymin=ft_low,
ymax=ft_up)
array.defineHistogram('Outslot,OutFT,Outweight;OutOfRange',
title='% chan/FEB/events with max out of ',
type='TProfile2D',
path=hist_path,
xbins=int(slot_n),
xmin=slot_low,
xmax=slot_up,
ybins=int(ft_n),
ymin=ft_low,
ymax=ft_up)
array.defineHistogram('Outcrate,Outchan;OutOfRangeChan',
title='% chan/FEB/events with max out of ',
type='TH2I',
path=hist_path,
weight='weight',
xbins=crates_n,
xmin=crates_low,
xmax=crates_up,
ybins=chan_n,
ymin=chan_low,
ymax=chan_up)
array.defineHistogram('Saturslot,SaturFT;tSaturation',
title='% chan/FEB/events with max=4095 ADC ',
type='TH2I',
path=hist_path,
weight='weight',
xbins=int(slot_n),
xmin=slot_low,
xmax=slot_up,
ybins=int(ft_n),
ymin=ft_low,
ymax=ft_up)
array.defineHistogram('Saturslot,SaturFT,Saturweight;Saturation',
title='% chan/FEB/events with max=4095 ADC ',
type='TProfile2D',
path=hist_path,
xbins=int(slot_n),
xmin=slot_low,
xmax=slot_up,
ybins=int(ft_n),
ymin=ft_low,
ymax=ft_up)
array.defineHistogram(
'Saturcrate,Saturchan;SaturationChan',
title=
'% chan/FEB/events with max=4095 ADC - Med/High Gain - All Stream',
type='TH2I',
path=hist_path,
weight='Saturweight',
xbins=crates_n,
xmin=crates_low,
xmax=crates_up,
ybins=chan_n,
ymin=chan_low,
ymax=chan_up)
array.defineHistogram('SaturLowslot,SaturLowFT;tSaturationLow',
title='% chan/FEB/events with max=4095 ADC ',
type='TH2I',
path=hist_path,
xbins=int(slot_n),
xmin=slot_low,
xmax=slot_up,
ybins=int(ft_n),
ymin=ft_low,
ymax=ft_up)
array.defineHistogram(
'SaturLowslot,SaturLowFT,SaturLowweight;SaturationLow',
title='% chan/FEB/events with max=4095 ADC ',
type='TProfile2D',
path=hist_path,
xbins=int(slot_n),
xmin=slot_low,
xmax=slot_up,
ybins=int(ft_n),
ymin=ft_low,
ymax=ft_up)
array.defineHistogram(
'SaturLowcrate,SaturLowchan;SaturationChanLow',
title='% chan/FEB/events with max=4095 ADC - Low Gain - All Stream',
type='TH2I',
path=hist_path,
weight='SaturLowweight',
xbins=crates_n,
xmin=crates_low,
xmax=crates_up,
ybins=chan_n,
ymin=chan_low,
ymax=chan_up)
array.defineHistogram('Nullslot,NullFT;tNullDigit',
title='% chan/FEB/events with min=0 ADC ',
type='TH2I',
path=hist_path,
weight='weight',
xbins=int(slot_n),
xmin=slot_low,
xmax=slot_up,
ybins=int(ft_n),
ymin=ft_low,
ymax=ft_up)
array.defineHistogram('Nullslot,NullFT,Nullweight;NullDigit',
title='% chan/FEB/events with min=0 ADC ',
type='TProfile2D',
path=hist_path,
xbins=int(slot_n),
xmin=slot_low,
xmax=slot_up,
ybins=int(ft_n),
ymin=ft_low,
ymax=ft_up)
array.defineHistogram(
'Nullcrate,Nullchan;NullDigitChan',
title='% chan/FEB/events with min=0 ADC - All Gain - All Stream',
type='TH2I',
path=hist_path,
xbins=crates_n,
xmin=crates_low,
xmax=crates_up,
ybins=chan_n,
ymin=chan_low,
ymax=chan_up)
array.defineHistogram('slot,FT,MaxPos;AvePosMaxDig',
title='Average position of Max Digit ',
type='TProfile2D',
path=hist_path,
xbins=int(slot_n),
xmin=slot_low,
xmax=slot_up,
ybins=int(ft_n),
ymin=ft_low,
ymax=ft_up)
array.defineHistogram('LBN,MaxPos;MaxVsTime',
title='Average Max Sample vs LumiBlock ',
type='TProfile',
path=hist_path,
xbins=lArDQGlobals.LB_Bins,
xmin=lArDQGlobals.LB_Min,
xmax=lArDQGlobals.LB_Max)
array.defineHistogram('MaxPos,Energy;EnVsTime',
title='Energy vs max sample ',
type='TH2F',
path=hist_path,
xbins=lArDQGlobals.Samples_Bins,
xmin=lArDQGlobals.Samples_Min,
xmax=lArDQGlobals.Samples_Max,
ybins=lArDQGlobals.Energy_Bins,
ymin=lArDQGlobals.Energy_Min,
ymax=lArDQGlobals.Energy_Max)
array.defineHistogram(
'l1trig,MaxPos;TriggerWord',
title='Position of max sample per L1 trigger word (8 bits) ',
type='TProfile',
path=hist_path,
xbins=lArDQGlobals.L1Trig_Bins,
xmin=lArDQGlobals.L1Trig_Min,
xmax=lArDQGlobals.L1Trig_Max)
array.defineHistogram('Sample,SignalNorm;SignShape',
title='Normalized Signal Shape ',
type='TProfile',
weight='weight',
path=hist_path,
xbins=lArDQGlobals.Samples_Bins,
xmin=lArDQGlobals.Samples_Min,
xmax=lArDQGlobals.Samples_Max)
if isRun3Cfg():
cfg.merge(helper.result())
return cfg
else:
return helper.result()