def LArHVCorrMonConfig(inputFlags):
from AthenaMonitoring import AthMonitorCfgHelper
helper = AthMonitorCfgHelper(inputFlags, 'LArHVCorrMonAlgCfg')
from LArGeoAlgsNV.LArGMConfig import LArGMCfg
acc = LArGMCfg(inputFlags)
from TileGeoModel.TileGMConfig import TileGMCfg
acc.merge(TileGMCfg(inputFlags))
from LArCalibUtils.LArHVScaleConfig import LArHVScaleCfg
acc.merge(LArHVScaleCfg(inputFlags))
from AthenaConfiguration.ComponentFactory import CompFactory
LArHVCorrMonConfigCore(helper, CompFactory.LArHVCorrectionMonAlg,
inputFlags)
acc.merge(helper.result())
return acc
def LArPileUpToolCfg(flags, name="LArPileUpTool", **kwargs):
"""Return ComponentAccumulator with configured LArPileUpTool"""
acc = LArGMCfg(flags)
#The LArPileupTool needs: Noise, fSampl, Pedestal,Shape ADC2MeV
# AutoCorrNoise, the list of bad FEBs and the cabling
acc.merge(LArADC2MeVCondAlgCfg(flags))
acc.merge(LArBadFebCfg(flags))
if flags.Overlay.DataOverlay:
kwargs.setdefault("ShapeKey", "LArShape")
if not flags.Digitization.DoCaloNoise:
requiredConditons = ["fSampl", "Pedestal", "Shape"]
else:
requiredConditons = ["Noise", "fSampl", "Pedestal", "Shape"]
acc.merge(LArElecCalibDbCfg(flags, requiredConditons))
if not flags.Detector.OverlayLAr:
acc.merge(LArAutoCorrNoiseCondAlgCfg(flags))
if "MaskingTool" not in kwargs:
maskerTool = acc.popToolsAndMerge(
LArBadChannelMaskerCfg(flags, ["deadReadout", "deadPhys"],
ToolName="LArRCBMasker"))
kwargs["MaskingTool"] = maskerTool
# defaults
kwargs.setdefault("NoiseOnOff", flags.Digitization.DoCaloNoise)
kwargs.setdefault("DoDigiTruthReconstruction",
flags.Digitization.DoDigiTruth)
if flags.Digitization.DoXingByXingPileUp:
kwargs.setdefault("FirstXing", -751)
kwargs.setdefault("LastXing", 101)
if (not flags.Digitization.HighGainFCal) and (
not flags.Detector.OverlayLAr):
kwargs.setdefault("HighGainThreshFCAL", 0)
if (not flags.Digitization.HighGainEMECIW) and (
not flags.Detector.OverlayLAr):
kwargs.setdefault("HighGainThreshEMECIW", 0)
kwargs.setdefault("RndmEvtOverlay", flags.Detector.OverlayLAr)
if flags.Digitization.PileUpPremixing:
kwargs.setdefault("DigitContainer",
flags.Overlay.BkgPrefix + "LArDigitContainer_MC")
else:
kwargs.setdefault(
"DigitContainer",
"LArDigitContainer_MC") # FIXME - should not be hard-coded
# if doing MC+MC overlay
if flags.Input.isMC and flags.Detector.OverlayLAr:
kwargs.setdefault("isMcOverlay", True)
kwargs.setdefault("Nsamples", flags.LAr.ROD.nSamples)
kwargs.setdefault("firstSample", flags.LAr.ROD.FirstSample)
# cosmics digitization
if flags.Beam.Type == "cosmics":
kwargs.setdefault("UseTriggerTime", True)
CosmicTriggerTimeTool = CompFactory.CosmicTriggerTimeTool
kwargs.setdefault("TriggerTimeToolName", CosmicTriggerTimeTool())
# pileup configuration "algorithm" way
if not flags.Digitization.DoXingByXingPileUp:
if flags.Digitization.Pileup or flags.Detector.OverlayLAr:
kwargs.setdefault("PileUp", True)
kwargs.setdefault("useLArFloat", useLArFloat(flags))
if useLArFloat(flags):
maps = [
"LArHitContainer#LArHitEMB->LArHitFloatContainer#LArHitEMB",
"LArHitContainer#LArHitEMEC->LArHitFloatContainer#LArHitEMEC",
"LArHitContainer#LArHitHEC->LArHitFloatContainer#LArHitHEC",
"LArHitContainer#LArHitFCAL->LArHitFloatContainer#LArHitFCAL"
]
AddressRemappingSvc, ProxyProviderSvc = CompFactory.getComps(
"AddressRemappingSvc",
"ProxyProviderSvc",
)
acc.addService(
AddressRemappingSvc(TypeKeyOverwriteMaps=maps,
ProxyDict="ActiveStoreSvc"))
acc.addService(ProxyProviderSvc(ProviderNames=["AddressRemappingSvc"]))
kwargs.setdefault("LArHitContainers", [])
else:
kwargs.setdefault("LArHitFloatContainers", [])
if flags.Detector.OverlayLAr:
kwargs.setdefault("OnlyUseContainerName", False)
if flags.Overlay.DataOverlay:
kwargs.setdefault("InputDigitContainer",
flags.Overlay.BkgPrefix + "FREE")
else:
kwargs.setdefault("InputDigitContainer",
flags.Overlay.BkgPrefix + "LArDigitContainer_MC")
LArPileUpTool = CompFactory.LArPileUpTool
acc.setPrivateTools(LArPileUpTool(name, **kwargs))
return acc
def TileCalCellMonAlgConfig(inputFlags, **kwargs):
''' Function to configure TileCalCellMonAlg algorithm in the monitoring system.'''
kwargs.setdefault('MonGroupName', 'TileEventFiter')
kwargs.setdefault('useBeamBackgroundRemoval', False)
kwargs.setdefault('useLArNoisyAlg', False)
kwargs.setdefault('useLArCollisionFilterTool', False)
if not (inputFlags.Common.isOnline == 'online' or inputFlags.Input.isMC):
kwargs.setdefault('useReadyFilterTool', True)
kwargs.setdefault(
'useBadLBTool',
False) # FIXME: when new LArBadLBFilterTool config is ready
else:
kwargs.setdefault('useReadyFilterTool', False)
kwargs.setdefault('useBadLBTool', False)
from AthenaCommon.SystemOfUnits import MeV
kwargs.setdefault('EnergyThreshold', 300.0 * MeV)
from AthenaMonitoring import AthMonitorCfgHelper
helper = AthMonitorCfgHelper(inputFlags, 'TileCalMonCfg')
from LArGeoAlgsNV.LArGMConfig import LArGMCfg
cfg = LArGMCfg(inputFlags)
from TileGeoModel.TileGMConfig import TileGMCfg
cfg.merge(TileGMCfg(inputFlags))
from CaloTools.CaloNoiseCondAlgConfig import CaloNoiseCondAlgCfg
cfg.merge(CaloNoiseCondAlgCfg(inputFlags))
if kwargs['useLArCollisionFilterTool']:
from LArCellRec.LArCollisionTimeConfig import LArCollisionTimeCfg
cfg.merge(LArCollisionTimeCfg(inputFlags))
if kwargs['useReadyFilterTool'] and 'ReadyFilterTool' not in kwargs:
from AthenaMonitoring.AtlasReadyFilterConfig import AtlasReadyFilterCfg
readyFilterTool = cfg.popToolsAndMerge(AtlasReadyFilterCfg(inputFlags))
kwargs['ReadyFilterTool'] = readyFilterTool
from AthenaConfiguration.ComponentFactory import CompFactory
tileCalCellMonAlg = helper.addAlgorithm(CompFactory.TileCalCellMonAlg,
'TileCalCellMonAlg')
for k, v in kwargs.items():
setattr(tileCalCellMonAlg, k, v)
binLabels = [
"TotalEvents", "ATLAS Ready", "with Good LAr LB",
"with No LAr Collision", "with No Beam Background",
"with No Trigger Filter", "with No LArError"
]
if not tileCalCellMonAlg.useReadyFilterTool:
binLabels[1] = "ATLAS Ready-OFF"
if not tileCalCellMonAlg.useBadLBTool:
binLabels[2] = "Good LAr LB-OFF"
if not tileCalCellMonAlg.useLArCollisionFilterTool:
binLabels[3] = "LAr collision-OFF"
if not tileCalCellMonAlg.useBeamBackgroundRemoval:
binLabels[4] = "Beam backgr.-OFF"
if not tileCalCellMonAlg.useLArNoisyAlg:
binLabels[5] = "LAr Error Veto-OFF"
topPath = '/CaloMonitoring/TileCellMon_NoTrigSel/General/'
tileFilterGroup = helper.addGroup(tileCalCellMonAlg,
tileCalCellMonAlg.MonGroupName, topPath)
from CaloMonitoring.CaloMonAlgBase import CaloBaseHistConfig
CaloBaseHistConfig(tileFilterGroup, 'Summary/', binLabels)
# 1) Configure histogram with TileCalCellMonAlg algorithm execution time
executeTimeGroup = helper.addGroup(tileCalCellMonAlg,
'TileCalCellMonExecuteTime', topPath)
executeTimeGroup.defineHistogram(
'TIME_execute',
path='Summary',
type='TH1F',
title='Time for execute TileCalCellMonAlg algorithm;time [#mus]',
xbins=100,
xmin=0,
xmax=100000)
# 2) Configure histograms with occupancy maps over threshold (4 noise sigma) per Tile sample
samplesWithoutE = ['A', 'BC', 'D', '']
noiseEtaPhiArray = helper.addArray([len(samplesWithoutE)],
tileCalCellMonAlg,
'CellsNoiseXEtaVSPhi',
topPath=topPath)
for postfix, tool in noiseEtaPhiArray.Tools.items():
sample = samplesWithoutE[int(postfix.split('_')[1])]
title = ('Number of Tile Cells %s' %
sample) + ' with E > 4 sigma (DB);#eta;#phi'
name = 'eta,phi;CellsNoiseXEtaVSPhi' + (sample +
'cells' if sample else '')
tool.defineHistogram(name,
title=title,
type='TH2F',
xbins=17,
xmin=-1.7,
xmax=1.7,
ybins=64,
ymin=-3.14,
ymax=3.14)
# 3) Configure histogram with number of 4 sigma seeds per Tile hash ID
noiseHashGroup = helper.addGroup(tileCalCellMonAlg, 'CellsXNoiseXHash',
topPath)
noiseHashGroup.defineHistogram(
'hash;CellsXNoiseXHash',
path='',
type='TH1F',
title='Number of 4 sigma seeds per hash;Tile Cell Hash ID;Events',
xbins=5184,
xmin=-0.5,
xmax=5183.5)
# 4) Configure histogram with Tile cell energy/noise (DB) ratio
noiseHashGroup = helper.addGroup(tileCalCellMonAlg, 'CellsNoiseTile',
topPath)
noiseHashGroup.defineHistogram(
'noise;CellsNoiseTile',
path='',
type='TH1F',
title='Energy/Noise (DB) of TileCal;Cell Energy / sigma (DB);Events',
xbins=200,
xmin=-10.0,
xmax=10.0)
# 5) Configure histogram with mean Tile cell noise (DB) vs eta
noiseEtaGroup = helper.addGroup(tileCalCellMonAlg, 'CellsNoiseXEta',
topPath)
noiseEtaGroup.defineHistogram(
'eta,noise;CellsNoiseXEta',
path='',
type='TProfile',
title=
'Tile Cell noise #sigma (DB) vs #eta;#eta;Mean Cell noise (DB) [MeV]',
xbins=17,
xmin=-1.7,
xmax=1.7)
# 6) Configure histogram with mean Tile cell noise (DB) vs phi
noisePhiGroup = helper.addGroup(tileCalCellMonAlg, 'CellsNoiseXPhi',
topPath)
noisePhiGroup.defineHistogram(
'phi,noise;CellsNoiseXPhi',
path='',
type='TProfile',
title=
'Tile Cell noise #sigma (DB) vs #phi;#phi;Mean Cell noise (DB) [MeV]',
xbins=64,
xmin=-3.14,
xmax=3.14)
# 7) Configure histogram with number of Tile cell over threshold
nCellsGroup = helper.addGroup(tileCalCellMonAlg, 'CellsXN', topPath)
nCellsGroup.defineHistogram(
'nCells;CellsXN',
path='',
type='TH1F',
title=
'Number of Tile Cells over threshold;Number of Tile Cells; Events',
xbins=250,
xmin=0,
xmax=500)
# 8) Configure histogram with Tile cell energy in GeV
energyGroup = helper.addGroup(tileCalCellMonAlg, 'CellsXE', topPath)
energyGroup.defineHistogram(
'energy;CellsXE',
path='',
type='TH1F',
title='Energy of Tile Cells;Tile Cell Energy [GeV]; Events',
xbins=50,
xmin=0,
xmax=20)
# 9) Configure histogram with mean Tile cell energy in GeV vs eta
energyEtaGroup = helper.addGroup(tileCalCellMonAlg, 'CellsXEta', topPath)
energyEtaGroup.defineHistogram(
'eta,energy;CellsXEta',
path='',
type='TProfile',
title='Tile Cell Energy vs #eta;#eta;Mean Cell Energy [GeV]',
xbins=17,
xmin=-1.7,
xmax=1.7)
# 10) Configure histogram with mean Tile cell energy in GeV vs phi
energyPhiGroup = helper.addGroup(tileCalCellMonAlg, 'CellsXPhi', topPath)
energyPhiGroup.defineHistogram(
'phi,energy;CellsXPhi',
path='',
type='TProfile',
title='Tile Cell Energy vs #phi;#phi;Mean Cell Energy [GeV]',
xbins=64,
xmin=-3.14,
xmax=3.14)
# 11) Configure histogram with mean Tile cell energy in GeV vs tower
energyTowerGroup = helper.addGroup(tileCalCellMonAlg, 'CellsXTower',
topPath)
energyTowerGroup.defineHistogram(
'tower,energy;CellsXTower',
path='',
type='TProfile',
title='Tile Cell Energy vs tower;Tower;Mean Cell Energy [GeV]',
xbins=18,
xmin=0,
xmax=18)
# 12) Configure histogram with occupancy map over threshold vs eta and phi
occupEtaPhiGroup = helper.addGroup(tileCalCellMonAlg, 'CellsXEtaVSPhi',
topPath)
occupEtaPhiTitle = (
'Number of Tile Cell above threshold %s MeV;#eta;#phi' %
kwargs['EnergyThreshold'])
occupEtaPhiGroup.defineHistogram('eta,phi;CellsXEtaVSPhi',
path='',
type='TH2F',
title=occupEtaPhiTitle,
xbins=17,
xmin=-1.7,
xmax=1.7,
ybins=64,
ymin=-3.14,
ymax=3.14)
# 13) Configure histograms with mean Tile cell energy vs module per sample
samples = ['A', 'BC', 'D', 'E']
energyModuleArray = helper.addArray([len(samples)],
tileCalCellMonAlg,
'CellsXModule',
topPath=topPath)
for postfix, tool in energyModuleArray.Tools.items():
sampleIdx = int(postfix.split('_')[1])
sample = samples[sampleIdx]
title = ('Tile Sampling %s' %
sample) + ';Module;Mean Cell Energy [GeV]'
name = 'module,energy;CellsXModuleS' + str(sampleIdx + 1)
tool.defineHistogram(name,
title=title,
type='TProfile',
xbins=64,
xmin=1,
xmax=65)
accumalator = helper.result()
cfg.merge(accumalator)
return cfg