TrigEgammaMonitoringConfig.py

Go to the documentation of this file.

# Copyright (C) 2002-2025 CERN for the benefit of the ATLAS collaboration
 
'''@file TrigEgammaMonitoringConfigRun3.py
@author D. Maximov (histograms), Joao victor Pinto (core)
@date 2019-07-08
@brief Run 3 configuration builder. Histograms definitions taken from TrigEgammaPlotTool
'''
 
from ElectronPhotonSelectorTools.TrigEGammaPIDdefs import SelectionDefPhoton
import cppyy
import functools
 
from AthenaConfiguration.ComponentFactory import CompFactory
from AthenaMonitoring.DQConfigFlags import DQDataType
 
 
def treat_list_of_chains_by_name( list_of_chains, part_name=None):
    if part_name:
        final_list = []
        for chain in list_of_chains:
            if part_name in chain:
                final_list.append(chain)
        return final_list
    else:
        return list_of_chains
 
 
 
class TrigEgammaMonAlgBuilder:
  
  data_type = ''
  pp_mode = False
  pPb_mode = False
  HI_mode = False
  cosmic_mode = False
  mc_mode = False
  activate_electron = False
  activate_photon = False
  activate_zee = False
  activate_jpsiee = False
  activate_topo = False
  activate_onlineMonHypos = False
  tagItems = []
  jpsitagItems = []
  electronList = []
  photonList = []
  tpList = []
  jpsiList = []
 
 
  isemnames = ["tight", "medium", "loose"]
  lhnames   = ["lhtight", "lhmedium", "lhloose","lhvloose"]
  dnnnames   = ["dnntight", "dnnmedium", "dnnloose"]
 
 
 
 
  def __init__(self, helper, runflag, moniAccess, emulator=None, 
                                      onlyHLT = False,
                                      derivation=False,
                                      detailedHistograms = False,
                                      basePath = 'HLT/EgammaMon', ComputeEffLH = False, ComputeEffDNN = False):
 
    from AthenaCommon.Logging import logging
    self.__logger = logging.getLogger( 'TrigEgammaMonAlgBuilder' )
    self.runFlag = runflag
    self.helper = helper
    self.derivation = derivation
    self.emulator = emulator
    self.basePath = basePath
    self.detailedHistograms = detailedHistograms 
    self.moniAccess = moniAccess
    self.onlyHLT = onlyHLT
    self.computeEffLH = ComputeEffLH
    self.computeEffDNN = ComputeEffDNN
    self.configureMode()
    
 
 
  def configureMode(self):
 
    self.__logger.info("TrigEgammaMonAlgBuilder.configureMode()")
    self.activate_onlineMonHypos = True
 
    if not self.get_monitoring_mode():
      self.__logger.warning("Error getting monitoring mode, default monitoring lists will be used.")
    else:
      self.__logger.info("TrigEgammaMonitoring: Configuring for %s", self.data_type)
 
    # Since we load the tools by name below 
    # Need to ensure the correct tools are configured 
    # for each monitoring mode
    if self.mc_mode or self.pp_mode:
      if(self.derivation):
        self.activate_zee = True
      else:
        self.activate_zee=True
        self.activate_jpsiee=True 
        self.activate_electron=True
        self.activate_photon=True
        self.activate_topo= False
    elif self.HI_mode or self.pPb_mode or self.cosmic_mode:
      self.activate_zee=True
      self.activate_electron=True
      self.activate_photon=True
    else:
      self.activate_zee=True
      self.activate_jpsiee=True
      self.activate_electron=True
      self.activate_photon=True
 
  #
  # Configure everything
  #
 
  def configure(self):
    self.setProperties()
    self.configureMonitor()
    self.configureHistograms()
 
 
  def get_monitoring_mode(self):
 
    self.__logger.info("TrigEgammaMonAlgBuilder.get_monitoring_mode()")
    self.data_type = self.helper.flags.DQ.DataType
 
    if self.data_type is DQDataType.MC:
      self.mc_mode = True
      self.__logger.info('TrigEgammaMonitoring configured for mc_mode')
      return True
    elif self.data_type is DQDataType.Collisions:
      self.pp_mode = True
      self.__logger.info('TrigEgammaMonitoring configured for pp_mode')
      return True
    elif self.data_type is DQDataType.HeavyIon:
      self.HI_mode = True
      self.pPb_mode = True
      self.__logger.info('TrigEgammaMonitoring configured for hi_mode')
      return True
    elif self.data_type is DQDataType.Cosmics:
      self.cosmic_mode = True
      self.__logger.info('TrigEgammaMonitoring configured for cosmic_mode')
      return True
    else:
      return False
 
 
  def setProperties(self):
 
    self.__logger.info("TrigEgammaMonAlgBuilder.setProperties()")
    self.basePath = 'HLT/EgammaMon'
   
    if self.pp_mode:
      self.setDefaultProperties()
    elif self.cosmic_mode:
      self.setDefaultProperties()
    elif self.HI_mode or self.pPb_mode:
      self.setDefaultProperties()
    elif self.mc_mode:
      self.setDefaultProperties()
    else:
      self.__logger.info('No monitoring mode configured, use default')
      self.setDefaultProperties()
 
 
    self.__logger.info('Configuring TP electron chains %s',self.tpList)
    self.__logger.info('Configuring electron chains %s',self.electronList)
    self.__logger.info('Configuring photon chains %s',self.photonList)
 
 
 
  def setDefaultProperties(self):
   
    from TrigEgammaMonitoring.TrigEgammaMonitCategory import mongroupsCfg
    mongroups = mongroupsCfg(self.moniAccess,self.data_type)
    
    if self.pp_mode:
        self.electronList = mongroups['monitoring_electron']
        self.photonList   = mongroups['monitoring_photon']
        self.bootstrapMap = mongroups['monitoring_bootstrap']
        self.tpList       = mongroups['monitoringTP_electron'] 
        self.tagItems     = mongroups['monitoring_tags'] 
        self.topoList     = mongroups['monitoring_topo']
    elif self.mc_mode:
        self.electronList = mongroups['validation_electron'] 
        self.photonList   = mongroups['validation_photon']
        self.bootstrapMap = mongroups['monitoring_bootstrap']
        self.tpList       = mongroups['monitoringTP_electron'] + mongroups['validationTP_electron_DNN']
        self.jpsiList     = mongroups['validation_jpsi']
        self.jpsitagItems = mongroups['validationTP_jpsiee']
        self.tagItems     = mongroups['monitoring_tags']
        self.topoList     = mongroups['monitoring_topo']
    elif self.cosmic_mode:
        self.electronList = mongroups['monitoring_electron_cosmic'] 
        self.photonList   = mongroups['monitoring_photon_cosmic']
        self.bootstrapMap = mongroups['monitoring_bootstrap_cosmic']
    else:
        self.electronList = mongroups['monitoring_electron']
        self.photonList   = mongroups['monitoring_photon']
        self.bootstrapMap = mongroups['monitoring_bootstrap']
        self.tpList       = mongroups['monitoringTP_electron'] 
        self.tagItems     = mongroups['monitoring_tags'] 
        self.topoList     = mongroups['monitoring_topo']
 
 
  #
  # Create all monitor algorithms
  #
 
  def configureMonitor( self ):
   
    acc = self.helper.resobj
    EgammaMatchTool = CompFactory.TrigEgammaMatchingToolMT()
    EgammaMatchTool.DeltaR=0.4
    acc.addPublicTool(EgammaMatchTool)
    cppyy.load_library('libElectronPhotonSelectorToolsDict')
    # Following loads the online selectors
  
    # Offline selectors -- taken from latest conf
    LooseElectronSelector             = CompFactory.AsgElectronIsEMSelector("T0HLTLooseElectronSelector")
    MediumElectronSelector            = CompFactory.AsgElectronIsEMSelector("T0HLTMediumElectronSelector")
    TightElectronSelector             = CompFactory.AsgElectronIsEMSelector("T0HLTTightElectronSelector")
    LooseLHSelector                   = CompFactory.AsgElectronLikelihoodTool("T0HLTLooseLHSelector")
    MediumLHSelector                  = CompFactory.AsgElectronLikelihoodTool("T0HLTMediumLHSelector")
    TightLHSelector                   = CompFactory.AsgElectronLikelihoodTool("T0HLTTightLHSelector")
    VeryLooseLHSelector               = CompFactory.AsgElectronLikelihoodTool("T0HLTVeryLooseLHSelector")
 
    # DNN selectors 
    LooseDNNElectronSelector          = CompFactory.AsgElectronSelectorTool("T0HLTLooseElectronDNNSelector")
    MediumDNNElectronSelector         = CompFactory.AsgElectronSelectorTool("T0HLTMediumElectronDNNSelector")
    TightDNNElectronSelector          = CompFactory.AsgElectronSelectorTool("T0HLTTightElectronDNNSelector")
 
    LoosePhotonSelector               = CompFactory.AsgPhotonIsEMSelector( "T0HLTLoosePhotonSelector" )
    MediumPhotonSelector              = CompFactory.AsgPhotonIsEMSelector( "T0HLTMediumPhotonSelector" )
    TightPhotonSelector               = CompFactory.AsgPhotonIsEMSelector( "T0HLTTightPhotonSelector" )
 
    LoosePhotonSelector.ForceConvertedPhotonPID = True
    LoosePhotonSelector.isEMMask = SelectionDefPhoton.PhotonLoose
    MediumPhotonSelector.ForceConvertedPhotonPID = True
    MediumPhotonSelector.isEMMask = SelectionDefPhoton.PhotonMedium
    TightPhotonSelector.ForceConvertedPhotonPID = True
    TightPhotonSelector.isEMMask = SelectionDefPhoton.PhotonTight
 
 
    acc.addPublicTool(LooseElectronSelector)
    acc.addPublicTool(MediumElectronSelector)
    acc.addPublicTool(TightElectronSelector)
    acc.addPublicTool(LooseLHSelector)
    acc.addPublicTool(MediumLHSelector)
    acc.addPublicTool(TightLHSelector)
    acc.addPublicTool(VeryLooseLHSelector)
    acc.addPublicTool(LooseDNNElectronSelector)
    acc.addPublicTool(MediumDNNElectronSelector)
    acc.addPublicTool(TightDNNElectronSelector)
 
    if self.runFlag == '2022':
       raise RuntimeError( '2022 (Run 3) configuration not available yet' )
 
 
    elif self.runFlag == '2018':
      # cut based
      LooseElectronSelector.ConfigFile  = "ElectronPhotonSelectorTools/offline/mc15_20150712/ElectronIsEMLooseSelectorCutDefs.conf"
      MediumElectronSelector.ConfigFile = "ElectronPhotonSelectorTools/offline/mc15_20150712/ElectronIsEMMediumSelectorCutDefs.conf"
      TightElectronSelector.ConfigFile  = "ElectronPhotonSelectorTools/offline/mc15_20150712/ElectronIsEMTightSelectorCutDefs.conf"
      # 2018 (vtest)
      LooseLHSelector.ConfigFile        = "ElectronPhotonSelectorTools/offline/mc20_20210514/ElectronLikelihoodLooseOfflineConfig2017_CutBL_Smooth.conf"
      MediumLHSelector.ConfigFile       = "ElectronPhotonSelectorTools/offline/mc20_20210514/ElectronLikelihoodMediumOfflineConfig2017_Smooth.conf"
      TightLHSelector.ConfigFile        = "ElectronPhotonSelectorTools/offline/mc20_20210514/ElectronLikelihoodTightOfflineConfig2017_Smooth.conf"
      VeryLooseLHSelector.ConfigFile    = "ElectronPhotonSelectorTools/offline/mc20_20210514/ElectronLikelihoodVeryLooseOfflineConfig2017_Smooth.conf"
      # DNN
      LooseDNNElectronSelector.ConfigFile   = "ElectronPhotonSelectorTools/offline/mc20_20240628/ElectronDNNMulticlassLoose.conf"
      MediumDNNElectronSelector.ConfigFile  = "ElectronPhotonSelectorTools/offline/mc20_20240628/ElectronDNNMulticlassMedium.conf"
      TightDNNElectronSelector.ConfigFile   = "ElectronPhotonSelectorTools/offline/mc20_20240628/ElectronDNNMulticlassTight.conf"
      # cutbased for photons
      TightPhotonSelector.ConfigFile    = "ElectronPhotonSelectorTools/offline/mc15_20150712/PhotonIsEMTightSelectorCutDefs.conf"
      MediumPhotonSelector.ConfigFile   = "ElectronPhotonSelectorTools/offline/mc15_20150712/PhotonIsEMMediumSelectorCutDefs.conf"
      LoosePhotonSelector.ConfigFile    = "ElectronPhotonSelectorTools/offline/mc15_20150712/PhotonIsEMLooseSelectorCutDefs.conf"
      
    elif self.runFlag == '2017':
      # cut based
      LooseElectronSelector.ConfigFile  = "ElectronPhotonSelectorTools/offline/mc15_20150712/ElectronIsEMLooseSelectorCutDefs.conf"
      MediumElectronSelector.ConfigFile = "ElectronPhotonSelectorTools/offline/mc15_20150712/ElectronIsEMMediumSelectorCutDefs.conf"
      TightElectronSelector.ConfigFile  = "ElectronPhotonSelectorTools/offline/mc15_20150712/ElectronIsEMTightSelectorCutDefs.conf"
      # 2017 (v11)
      LooseLHSelector.ConfigFile        = "ElectronPhotonSelectorTools/offline/mc15_20160512/ElectronLikelihoodLooseOfflineConfig2016_CutBL_Smooth.conf"
      MediumLHSelector.ConfigFile       = "ElectronPhotonSelectorTools/offline/mc15_20160512/ElectronLikelihoodMediumOfflineConfig2016_Smooth.conf"
      TightLHSelector.ConfigFile        = "ElectronPhotonSelectorTools/offline/mc15_20160512/ElectronLikelihoodTightOfflineConfig2016_Smooth.conf"
      VeryLooseLHSelector.ConfigFile    = "ElectronPhotonSelectorTools/offline/mc15_20160512/ElectronLikelihoodVeryLooseOfflineConfig2016_Smooth.conf"
      # DNN
      LooseDNNElectronSelector.ConfigFile   = "ElectronPhotonSelectorTools/offline/mc16_20210430/ElectronDNNMulticlassLoose.conf"
      MediumDNNElectronSelector.ConfigFile  = "ElectronPhotonSelectorTools/offline/mc16_20210430/ElectronDNNMulticlassMedium.conf"
      TightDNNElectronSelector.ConfigFile   = "ElectronPhotonSelectorTools/offline/mc16_20210430/ElectronDNNMulticlassTight.conf"
      # cut based for photons 
      TightPhotonSelector.ConfigFile    = "ElectronPhotonSelectorTools/offline/mc15_20150712/PhotonIsEMTightSelectorCutDefs.conf"
      MediumPhotonSelector.ConfigFile   = "ElectronPhotonSelectorTools/offline/mc15_20150712/PhotonIsEMMediumSelectorCutDefs.conf"
      LoosePhotonSelector.ConfigFile    = "ElectronPhotonSelectorTools/offline/mc15_20150712/PhotonIsEMLooseSelectorCutDefs.conf"
    
    else:
      # raise since the configuration its not defined
      raise RuntimeError( 'Wrong run flag configuration' )
    
 
 
    if self.activate_zee:
      tpList = treat_list_of_chains_by_name(self.tpList, 'lh') # Only LH chains
      tagItems = treat_list_of_chains_by_name(self.tagItems, 'lh') # Only LH chains
      self.__logger.info( "Creating the Zee monitor algorithm LH only...")
      self.zeeMonAlg = self.helper.addAlgorithm( CompFactory.TrigEgammaMonitorTagAndProbeAlgorithm, "TrigEgammaMonitorTagAndProbeAlgorithm_Zee_LH" )
      self.zeeMonAlg.Analysis='Zee'
      self.zeeMonAlg.MatchTool = EgammaMatchTool
      self.zeeMonAlg.TPTrigger=False
      self.zeeMonAlg.ElectronKey = 'Electrons'
      self.zeeMonAlg.isEMResultNames=self.isemnames
      self.zeeMonAlg.LHResultNames=self.lhnames
      self.zeeMonAlg.DNNResultNames=self.dnnnames
      self.zeeMonAlg.ElectronIsEMSelector =[TightElectronSelector,MediumElectronSelector,LooseElectronSelector]
      self.zeeMonAlg.ElectronLikelihoodTool =[TightLHSelector,MediumLHSelector,LooseLHSelector,VeryLooseLHSelector]
      self.zeeMonAlg.ElectronDNNSelectorTool =[TightDNNElectronSelector,MediumDNNElectronSelector,LooseDNNElectronSelector]
      self.zeeMonAlg.ZeeLowerMass=80
      self.zeeMonAlg.ZeeUpperMass=100
      self.zeeMonAlg.OfflineTagMinEt=25
      self.zeeMonAlg.OfflineTagSelector='lhtight'
      self.zeeMonAlg.OfflineProbeSelector='lhloose'
      self.zeeMonAlg.OppositeCharge=True
      self.zeeMonAlg.RemoveCrack=False
      self.zeeMonAlg.TagTriggerList=tagItems
      self.zeeMonAlg.TriggerList=tpList
      self.zeeMonAlg.DetailedHistograms=self.detailedHistograms
      self.zeeMonAlg.DoEmulation = False
      self.zeeMonAlg.ApplyJetNearProbeSelection = False
 
 
      # Separated TaP tool configuration
      tpList = treat_list_of_chains_by_name(self.tpList, 'dnn') # get only dnn chains
      tagItems = treat_list_of_chains_by_name(self.tagItems, 'dnn')
      self.__logger.info( "Creating the Zee monitor algorithm DNN only...")
      self.zeeMonAlg_dnn = self.helper.addAlgorithm( CompFactory.TrigEgammaMonitorTagAndProbeAlgorithm, "TrigEgammaMonitorTagAndProbeAlgorithm_Zee_DNN" )
      self.zeeMonAlg_dnn.Analysis='Zee_DNN'
      self.zeeMonAlg_dnn.MatchTool = EgammaMatchTool
      self.zeeMonAlg_dnn.TPTrigger=False
      self.zeeMonAlg_dnn.ElectronKey = 'Electrons'
      self.zeeMonAlg_dnn.isEMResultNames=self.isemnames
      self.zeeMonAlg_dnn.LHResultNames=self.lhnames
      self.zeeMonAlg_dnn.DNNResultNames=self.dnnnames
      self.zeeMonAlg_dnn.ElectronIsEMSelector =[TightElectronSelector,MediumElectronSelector,LooseElectronSelector]
      self.zeeMonAlg_dnn.ElectronLikelihoodTool =[TightLHSelector,MediumLHSelector,LooseLHSelector,VeryLooseLHSelector]
      self.zeeMonAlg_dnn.ElectronDNNSelectorTool =[TightDNNElectronSelector,MediumDNNElectronSelector,LooseDNNElectronSelector]
      self.zeeMonAlg_dnn.ZeeLowerMass=80
      self.zeeMonAlg_dnn.ZeeUpperMass=100
      self.zeeMonAlg_dnn.OfflineTagMinEt=25
      self.zeeMonAlg_dnn.OfflineTagSelector='dnntight'
      self.zeeMonAlg_dnn.OfflineProbeSelector='dnnloose'
      self.zeeMonAlg_dnn.OppositeCharge=True
      self.zeeMonAlg_dnn.RemoveCrack=False
      self.zeeMonAlg_dnn.TagTriggerList=tagItems
      self.zeeMonAlg_dnn.TriggerList=tpList 
      self.zeeMonAlg_dnn.DetailedHistograms=self.detailedHistograms
      self.zeeMonAlg_dnn.DoEmulation = False
      self.zeeMonAlg_dnn.ApplyJetNearProbeSelection = False
 
      if self.emulator: # turn on emulator
        self.emulator.TriggerList += self.tpList
        self.zeeMonAlg.DoEmulation = True
        self.zeeMonAlg.EmulationTool = self.emulator.core()
        self.zeeMonAlg_dnn.DoEmulation = True
        self.zeeMonAlg_dnn.EmulationTool = self.emulator.core()
 
 
 
 
    if self.activate_jpsiee:
 
      self.__logger.info( "Creating the Jpsiee monitor algorithm...")
      self.jpsieeMonAlg = self.helper.addAlgorithm( CompFactory.TrigEgammaMonitorTagAndProbeAlgorithm, "TrigEgammaMonitorTagAndProbeAlgorithm_Jpsiee" )
      self.jpsieeMonAlg.DoJpsiee=True
      self.jpsieeMonAlg.Analysis='Jpsiee'
      self.jpsieeMonAlg.MatchTool = EgammaMatchTool
      self.jpsieeMonAlg.TPTrigger=False
      self.jpsieeMonAlg.ElectronKey = 'Electrons'
      self.jpsieeMonAlg.isEMResultNames=self.isemnames
      self.jpsieeMonAlg.LHResultNames=self.lhnames
      self.jpsieeMonAlg.DNNResultNames=self.dnnnames
      self.jpsieeMonAlg.ElectronIsEMSelector =[TightElectronSelector,MediumElectronSelector,LooseElectronSelector]
      self.jpsieeMonAlg.ElectronLikelihoodTool =[TightLHSelector,MediumLHSelector,LooseLHSelector,VeryLooseLHSelector]
      self.jpsieeMonAlg.ElectronDNNSelectorTool =[TightDNNElectronSelector,MediumDNNElectronSelector,LooseDNNElectronSelector]
      self.jpsieeMonAlg.ZeeLowerMass=2
      self.jpsieeMonAlg.ZeeUpperMass=5
      self.jpsieeMonAlg.OfflineTagMinEt=5
      self.jpsieeMonAlg.OfflineTagSelector='lhtight'
      self.jpsieeMonAlg.OfflineProbeSelector='lhloose'
      self.jpsieeMonAlg.OppositeCharge=True
      self.jpsieeMonAlg.RemoveCrack=False
      self.jpsieeMonAlg.TagTriggerList=self.jpsitagItems
      self.jpsieeMonAlg.TriggerList=self.jpsiList
      self.jpsieeMonAlg.DetailedHistograms=self.detailedHistograms
      self.jpsieeMonAlg.DoEmulation = False
      self.jpsieeMonAlg.ApplyJetNearProbeSelection = False
 
    if self.activate_electron:
 
      self.__logger.info( "Creating the Electron monitor algorithm...")
      self.elMonAlg = self.helper.addAlgorithm( CompFactory.TrigEgammaMonitorElectronAlgorithm, "TrigEgammaMonitorElectronAlgorithm" )
      self.elMonAlg.MatchTool = EgammaMatchTool
      self.elMonAlg.Analysis = "Electrons"
      self.elMonAlg.ElectronKey = 'Electrons'
      self.elMonAlg.isEMResultNames=self.isemnames
      self.elMonAlg.LHResultNames=self.lhnames
      self.elMonAlg.DNNResultNames=self.dnnnames
      self.elMonAlg.ElectronIsEMSelector =[TightElectronSelector,MediumElectronSelector,LooseElectronSelector]
      self.elMonAlg.ElectronLikelihoodTool =[TightLHSelector,MediumLHSelector,LooseLHSelector,VeryLooseLHSelector]
      self.elMonAlg.ForcePidSelection=True
      self.elMonAlg.ForceProbeIsolation=False
      self.elMonAlg.ForceEtThreshold=True
      self.elMonAlg.TriggerList=self.electronList
      self.elMonAlg.DetailedHistograms=self.detailedHistograms
      self.elMonAlg.DoEmulation = False
      self.elMonAlg.ComputeEffLH = self.computeEffLH
      self.elMonAlg.ComputeEffDNN = self.computeEffDNN
 
      if self.emulator:
        self.elMonAlg.DoEmulation = True
        self.emulator.TriggerList += self.electronList
        self.elMonAlg.EmulationTool = self.emulator.core()
        
 
    if self.activate_photon:
 
      self.__logger.info( "Creating the Photon monitor algorithm...")
      self.phMonAlg = self.helper.addAlgorithm( CompFactory.TrigEgammaMonitorPhotonAlgorithm, "TrigEgammaMonitorPhotonAlgorithm" )
      self.phMonAlg.Analysis = "Photons"
      self.phMonAlg.MatchTool = EgammaMatchTool
      self.phMonAlg.PhotonKey = 'Photons'
      self.phMonAlg.PhotonIsolationKeys = ["Photons.topoetcone20", "Photons.topoetcone40"]
      self.phMonAlg.isEMResultNames=self.isemnames
      self.phMonAlg.LHResultNames=self.lhnames
      self.phMonAlg.PhotonIsEMSelector =[TightPhotonSelector,MediumPhotonSelector,LoosePhotonSelector]
      self.phMonAlg.TriggerList=self.photonList
      self.phMonAlg.BootstrapTriggerMap = self.bootstrapMap
      self.phMonAlg.DetailedHistograms=self.detailedHistograms
      self.phMonAlg.ForcePidSelection=True
      self.phMonAlg.DoUnconverted=False
      self.phMonAlg.DoEmulation = False
      self.phMonAlg.OnlyHLT = self.onlyHLT
 
 
      if self.emulator:
        self.phMonAlg.DoEmulation = True
        self.emulator.TriggerList += self.photonList
        self.phMonAlg.EmulationTool = self.emulator.core()
 
 
    if self.activate_topo:
 
      self.__logger.info( "Creating the combo monitor algorithm...")
      self.topoMonAlg = self.helper.addAlgorithm( CompFactory.TrigEgammaMonitorTopoAlgorithm, "TrigEgammaMonitorTopoAlgorithm" )
      self.topoMonAlg.MatchTool = EgammaMatchTool
      self.topoMonAlg.ElectronKey = 'Electrons'
      self.topoMonAlg.PhotonKey = 'Photons'
      self.topoMonAlg.isEMResultNames=self.isemnames
      self.topoMonAlg.LHResultNames=self.lhnames
      self.topoMonAlg.DNNResultNames=self.dnnnames
      self.topoMonAlg.ElectronIsEMSelector =[TightElectronSelector,MediumElectronSelector,LooseElectronSelector]
      self.topoMonAlg.ElectronLikelihoodTool =[TightLHSelector,MediumLHSelector,LooseLHSelector]
      self.topoMonAlg.DetailedHistograms=self.detailedHistograms
      self.topoMonAlg.TriggerListConfig  = self.topoList # this is a list of dicts
 
  
  def configureHistograms(self):
    
    self.setBinning()
 
    if self.activate_zee:
 
      # LH plots
      self.bookEvent( self.zeeMonAlg, self.zeeMonAlg.Analysis , True)
      triggers = self.zeeMonAlg.TriggerList; triggers.extend( self.zeeMonAlg.TagTriggerList )
      self.bookExpertHistograms( self.zeeMonAlg, triggers )
 
      # dnn plots
      self.bookEvent( self.zeeMonAlg_dnn, self.zeeMonAlg_dnn.Analysis , True)
      triggers = self.zeeMonAlg_dnn.TriggerList; triggers.extend( self.zeeMonAlg_dnn.TagTriggerList )
      self.bookExpertHistograms( self.zeeMonAlg_dnn, triggers )
 
    if self.activate_jpsiee:
      self.setBinning(True)
      self.bookEvent( self.jpsieeMonAlg, self.jpsieeMonAlg.Analysis, True )
      triggers = self.jpsieeMonAlg.TriggerList; triggers.extend( self.jpsieeMonAlg.TagTriggerList )
      self.bookExpertHistograms( self.jpsieeMonAlg, triggers )
    
    # back to default bin configuration
    self.setBinning()
    if self.activate_electron:
      self.bookExpertHistograms( self.elMonAlg, self.elMonAlg.TriggerList )
    if self.activate_photon:
      self.bookExpertHistograms( self.phMonAlg, self.phMonAlg.TriggerList )
  
 
    # configure topo chains
    if self.activate_topo:
      self.bookTopoHistograms( self.topoMonAlg, self.topoMonAlg.TriggerListConfig )
 
 
  # If we've already defined the group, return the object already defined
  @functools.lru_cache(None)
  def addGroup( self, monAlg, name, path ):
    return self.helper.addGroup( monAlg, name, path )
 
  def addHistogram(self, monGroup, hist):
      monGroup.defineHistogram(hist.name, **hist.kwargs)
 
 
  #
  # Booking all histograms
  #
  def bookExpertHistograms( self, monAlg, triggers ):
 
    self.__logger.info( "Booking all histograms for alg: %s", monAlg.name )
 
 
    for trigger in triggers:
   
      info = self.getTrigInfo(trigger)
 
      if info.isL1Item():
        self.bookL1CaloDistributions( monAlg, trigger )
        self.bookEfficiencies( monAlg, trigger, "L1Calo" )
        self.bookL1CaloResolutions( monAlg, trigger )
        self.bookL1CaloAbsResolutions( monAlg, trigger )
 
      else:
        #
        # Distributions
        #
        self.bookL1CaloDistributions( monAlg, trigger )
        self.bookL2CaloDistributions( monAlg, trigger )
        self.bookEFCaloDistributions( monAlg, trigger )
 
        self.bookL1CaloResolutions( monAlg, trigger )
        self.bookL1CaloAbsResolutions( monAlg, trigger )
        self.bookL2CaloResolutions( monAlg, trigger )
        
        if info.isElectron():
          self.bookL2ElectronDistributions( monAlg, trigger )
          # Offline and HLT
          self.bookShowerShapesDistributions( monAlg, trigger, "HLT" ,online=True)
          self.bookShowerShapesDistributions( monAlg, trigger, "HLT" ,online=False)
          self.bookTrackingDistributions( monAlg, trigger, online=True )
          self.bookTrackingDistributions( monAlg, trigger, online=False )
          self.bookHLTResolutions( monAlg, trigger,"HLT" )
          self.bookHLTElectronResolutions( monAlg, trigger, info.isIsolated() )
 
        elif info.isPhoton():
          self.bookL2PhotonDistributions( monAlg, trigger )
          self.bookShowerShapesDistributions( monAlg, trigger, "HLT", online=True )
          self.bookShowerShapesDistributions( monAlg, trigger, "HLT", online=False)
          self.bookHLTResolutions( monAlg, trigger,"HLT" )
          self.bookHLTPhotonResolutions( monAlg, trigger, info.isIsolated() )
 
        
        #
        # Efficiencies
        #
 
        self.bookEfficiencies( monAlg, trigger, "L1Calo" )
        self.bookEfficiencies( monAlg, trigger, "FastCalo" )
        self.bookEfficiencies( monAlg, trigger, "FastPhoton" if info.isPhoton() else "FastElectron")             
        self.bookEfficiencies( monAlg, trigger, "PrecisionCalo" )
        self.bookEfficiencies( monAlg, trigger, "HLT")
        if self.detailedHistograms:
          for pid in self.isemnames + self.lhnames:
            self.bookEfficiencies( monAlg, trigger, "HLT", pid )
            self.bookEfficiencies( monAlg, trigger, "HLT", pid+"Iso" )
 
        #
        # Emulation
        #
        if self.emulator:
          self.bookEfficiencies( monAlg, trigger, "L1Calo" , doEmulation=True)
          self.bookEfficiencies( monAlg, trigger, "FastCalo" , doEmulation=True)
          self.bookEfficiencies( monAlg, trigger, "PrecisionCalo" , doEmulation=True)
          self.bookEfficiencies( monAlg, trigger, "FastPhoton" if info.isPhoton() else "FastElectron", doEmulation=True)         
          self.bookEfficiencies( monAlg, trigger, "HLT" , doEmulation=True)
 
        # Inefficiencies
        self.bookInefficiencies(monAlg, trigger)
 
 
 
  def bookEvent(self, monAlg, analysis, tap=False):
 
    # Create mon group.  The group name should be the path name for map
    monGroup = self.addGroup( monAlg, analysis, self.basePath+'/Expert/Event/'+analysis )
 
    if tap:
      cutLabels = ["Events","LAr","RetrieveElectrons","TwoElectrons","PassTrigger","EventWise","Success"]
      probeLabels=["Electrons","NotTag","OS","SS","ZMass","HasTrack","HasCluster","Eta","Et","IsGoodOQ","GoodPid","NearbyJet","Isolated","GoodProbe"]
      tagLabels=["Electrons","HasTrack","HasCluster","GoodPid","Et","Eta","IsGoodOQ","PassTrigger","MatchTrigger"]
 
      monGroup.defineHistogram("CutCounter", type='TH1I', path='', title="Event Selection; Cut ; Count",
          xbins=len(cutLabels), xmin=0, xmax=len(cutLabels), xlabels=cutLabels)
      monGroup.defineHistogram("TagCutCounter", type='TH1F', path='', title="Number of Probes; Cut ; Count",
          xbins=len(tagLabels), xmin=0, xmax=len(tagLabels), xlabels=tagLabels)
      monGroup.defineHistogram("ProbeCutCounter", type='TH1F', path='', title="Number of Probes; Cut ; Count",
          xbins=len(probeLabels), xmin=0, xmax=len(probeLabels), xlabels=probeLabels)
      monGroup.defineHistogram("Mee", type='TH1F', path='', title="Offline M(ee); m_ee [GeV] ; Count",xbins=50, 
          xmin=monAlg.ZeeLowerMass, xmax=monAlg.ZeeUpperMass)
 
 
  #
  # Book L1Calo distributions
  #
  def bookL1CaloDistributions( self , monAlg, trigger ):
 
    from TrigEgammaMonitoring.TrigEgammaMonitorHelper import TH1F
    monGroup = self.addGroup( monAlg, trigger+'_Distributions_L1Calo', self.basePath+'/Shifter/'+trigger+'/Distributions/L1Calo' )
    
    if 'L1eEM' in trigger:
 
      self.addHistogram(monGroup, TH1F("et"     , "Et; Et [GeV] ; Count", 100, 0., 800.))
      self.addHistogram(monGroup, TH1F("eta"    , "eta; eta ; Count"    , 50, -2.5, 2.5))
      self.addHistogram(monGroup, TH1F("phi"    , "phi; phi ; Count"    , 20, -3.2, 3.2))
      self.addHistogram(monGroup, TH1F("Rhad"   , "Rhad; Rhad ; Count"  , 40, 0, 1))
      self.addHistogram(monGroup, TH1F("Reta"   , "Reta; Reta ; Count"  , 40, 0, 1 ))
      self.addHistogram(monGroup, TH1F("Wstot"  , "Wstot; Wstot ; Count", 40, 0, 4 ))
 
    else: # L1Calo Legacy
      self.addHistogram(monGroup, TH1F("energy", "Cluster Energy; E [GeV] ; Count", 100, 0., 800.))
      self.addHistogram(monGroup, TH1F("roi_et", "RoI word Cluster Energy; E [GeV] ; Count", 100, 0, 200))
      self.addHistogram(monGroup, TH1F("emIso", "EM Isolation; E [GeV] ; Count", 50, -1., 20.))
      self.addHistogram(monGroup, TH1F("hadCore", "HAD Isolation; E [GeV] ; Count", 50, -1., 20.))
      self.addHistogram(monGroup, TH1F("eta", "eta; eta ; Count", 50, -2.5, 2.5))
      self.addHistogram(monGroup, TH1F("phi", "phi; phi ; Count", 20, -3.2, 3.2))
 
 
 
  #
  # Book L2Calo distributions
  #
  def bookL2CaloDistributions( self , monAlg, trigger ):
 
    from TrigEgammaMonitoring.TrigEgammaMonitorHelper import TH1F
    monGroup = self.addGroup( monAlg, trigger+'_Distributions_L2Calo', self.basePath+'/Shifter/'+trigger+'/Distributions/FastCalo' )
    
    self.addHistogram(monGroup, TH1F("et", "ET; ET [GeV] ; Count", 100, 0., 100.))
    self.addHistogram(monGroup, TH1F("highet", "ET; ET [GeV] ; Count", 100, 0., 800.))
    self.addHistogram(monGroup, TH1F("eta", "eta; eta ; Count", self._nEtabins, self._etabins))
    self.addHistogram(monGroup, TH1F("phi", "phi; phi ; Count", 20, -3.2, 3.2))
 
 
  #
  # book Fast Electron distributions
  #
  def bookL2ElectronDistributions( self, monAlg, trigger ):
 
    from TrigEgammaMonitoring.TrigEgammaMonitorHelper import TH1F
    monGroup = self.addGroup( monAlg, trigger+'_Distributions_L2Electron', self.basePath+'/Shifter/'+trigger+'/Distributions/FastElectron' )
    
    self.addHistogram(monGroup, TH1F("et", "ET; ET [GeV] ; Count", 100, 0., 100.))
    self.addHistogram(monGroup, TH1F("highet", "ET; ET [GeV] ; Count", 100, 0., 800.))
    self.addHistogram(monGroup, TH1F("eta", "eta; eta ; Count", self._nEtabins, self._etabins))
    self.addHistogram(monGroup, TH1F("phi", "phi; phi ; Count", 20, -3.2, 3.2))
 
  #
  # book Fast Photon distributions
  #
 
  def bookL2PhotonDistributions( self, monAlg, trigger ):
 
    from TrigEgammaMonitoring.TrigEgammaMonitorHelper import TH1F
    monGroup = self.addGroup( monAlg, trigger+'_Distributions_L2Photon', self.basePath+'/Shifter/'+trigger+'/Distributions/FastPhoton' )
    
    self.addHistogram(monGroup, TH1F("et", "ET; ET [GeV] ; Count", 100, 0., 100.))
    self.addHistogram(monGroup, TH1F("highet", "ET; ET [GeV] ; Count", 100, 0., 800.))
    self.addHistogram(monGroup, TH1F("eta", "eta; eta ; Count", self._nEtabins, self._etabins))
    self.addHistogram(monGroup, TH1F("phi", "phi; phi ; Count", 20, -3.2, 3.2))
  #
  # Book EFCalo distributions
  #
  def bookEFCaloDistributions( self, monAlg, trigger ):
    
    from TrigEgammaMonitoring.TrigEgammaMonitorHelper import TH1F
    monGroup = self.addGroup( monAlg, trigger+'_Distributions_EFCalo', self.basePath+'/Shifter/'+trigger+'/Distributions/PrecisionCalo' )
    
    self.addHistogram(monGroup, TH1F("et", "ET; ET [GeV] ; Count", 100, 0., 100.))
    self.addHistogram(monGroup, TH1F("eta", "eta; eta ; Count", self._nEtabins, self._etabins))
    self.addHistogram(monGroup, TH1F("phi", "phi; phi ; Count", 20, -3.2, 3.2))
    self.addHistogram(monGroup, TH1F("energy", "Cluster Energy; E [GeV] ; Count", 50, 0., 100.))
    self.addHistogram(monGroup, TH1F("highet", "Cluster Energy; E [GeV] ; Count", 100, 0., 800.))
    self.addHistogram(monGroup, TH1F("eta_calo", "eta_calo; eta_calo ; Count", 50, -2.47, 2.47))
    self.addHistogram(monGroup, TH1F("phi_calo", "phi_calo; phi_calo ; Count", 50, -3.14, 3.14))
 
    if self.mc_mode:
      self.addHistogram(monGroup, TH1F("energyBE0", "Cluster Energy BE0; E [GeV] ; Count", 50, 0., 100.))
      self.addHistogram(monGroup, TH1F("energyBE1", "Cluster Energy BE1; E [GeV] ; Count", 50, 0., 100.))
      self.addHistogram(monGroup, TH1F("energyBE2", "Cluster Energy BE2; E [GeV] ; Count", 50, 0., 100.))
      self.addHistogram(monGroup, TH1F("energyBE3", "Cluster Energy BE3; E [GeV] ; Count", 50, 0., 100.))
 
 
  #
  # Book Shower shapes
  #
  def bookShowerShapesDistributions( self, monAlg, trigger, level, online=True):
 
    from TrigEgammaMonitoring.TrigEgammaMonitorHelper import TH1F
 
    monGroup = self.addGroup( monAlg, trigger+'_Distributions_' + ("HLT" if online else "Offline"), 
                              self.basePath+'/Shifter/'+trigger+'/Distributions/' + (level if online else "Offline") )
    
    info = self.getTrigInfo(trigger)
 
    self.addHistogram(monGroup, TH1F("Rhad", "Rhad; Rhad ; Count", 35, -0.3, 0.3))
    self.addHistogram(monGroup, TH1F("Reta", "Reta; Reta ; Count", 15, 0.4, 1.2))
    self.addHistogram(monGroup, TH1F("Rphi", "Rphi; Rphi ; Count", 15, 0.4, 1.2))
    self.addHistogram(monGroup, TH1F("weta2", "weta2; weta2 ; Count", 20, 0., 0.02))
    self.addHistogram(monGroup, TH1F("f1", "f1; f1 ; Count", 11, 0, 1.))
    self.addHistogram(monGroup, TH1F("f3", "f3; f3 ; Count", 21, -0.05, 0.1))
    self.addHistogram(monGroup, TH1F("eratio","eratio; eratio; Count",20, 0, 2))
    self.addHistogram(monGroup, TH1F("et", "ET; ET [GeV] ; Count", 100, 0., 100.))
    self.addHistogram(monGroup, TH1F("highet", "Offline E_{T}; E_{T} [GeV] ; Count", 100, 0., 800.))
    self.addHistogram(monGroup, TH1F("eta", "eta; eta ; Count", self._nEtabins, self._etabins))
    self.addHistogram(monGroup, TH1F("phi", "phi; phi ; Count", 20, -3.2, 3.2))
    
    if not info.isElectron():
      self.addHistogram(monGroup, TH1F("topoetcone20", "topoetcone20; topoetcone20 [GeV] ; Count", 100, -10.0, 10.0))
      self.addHistogram(monGroup, TH1F("topoetcone20_rel", "topoetcone20/pt; topoetcone20/pt ; Count", 100, -0.5, 0.5))
      self.addHistogram(monGroup, TH1F("topoetcone40_shift", "topoetcone40-2.45 GeV; topoetcone40-2.45 GeV [GeV] ; Count", 100, -10.0, 10.0))
      self.addHistogram(monGroup, TH1F("topoetcone40_shift_rel", "(topoetcone40-2.45 GeV)/pt; (topoetcone40-2.45 GeV)/pt ; Count", 100, -0.5, 0.5))
 
    if self.mc_mode:
      self.addHistogram(monGroup, TH1F("Rhad1", "Rhad1; Rhad1 ; Count", 30, -0.3, 0.3))
      self.addHistogram(monGroup, TH1F("weta1", "weta1; weta1 ; Count", 12, 0.4, 1.))
  #
  # Book Tracking
  #
  def bookTrackingDistributions( self, monAlg, trigger,online=True ):
    
 
    from TrigEgammaMonitoring.TrigEgammaMonitorHelper import TH1F, TH2F
 
    monGroup = self.addGroup( monAlg, trigger+'_Distributions_' + ("HLT" if online else "Offline"), 
                              self.basePath+'/Shifter/'+trigger+'/Distributions/' + ("HLT" if online else "Offline") )
 
    # Tracking quantities
    self.addHistogram(monGroup, TH1F("deta2", "deta2; deta2 ; Count", 40, -0.01, 0.01))
    self.addHistogram(monGroup, TH1F("dphi2", "dphi2; dphi2 ; Count", 40, -0.1, 0.1))
    self.addHistogram(monGroup, TH1F("eprobht","eProbHT; eProbHT; Count",20, 0, 1.))
    self.addHistogram(monGroup, TH1F("npixhits","nPixHit; nPixHits; Count",10, 0, 10))
    self.addHistogram(monGroup, TH1F("nscthits","nSCTHit; nSCTHits; Count",20, 0, 20))
    self.addHistogram(monGroup, TH1F("pt", "p_{T}; p_{T} [GeV] ; Count", 50,0.,200.))
    self.addHistogram(monGroup, TH1F("pt_track", "p_{T} tracks; p_{T} [GeV] ; Count", 100,0.,200.))
    self.addHistogram(monGroup, TH1F("ptcone20", "ptcone20; ptcone20; Count", 50, 0.0, 5.0))
    self.addHistogram(monGroup, TH1F("ptvarcone20", "ptvarcone20; ptvarcone20; Count", 50, 0.0, 5.0))
    self.addHistogram(monGroup, TH1F("ptcone20_rel", "ptcone20/pt; ptcone20/pt; Count", 50, 0.0, 1.0))
    self.addHistogram(monGroup, TH1F("ptcone30_rel", "ptcone30/pt; ptcone30/pt; Count", 50, 0.0, 1.0))
    self.addHistogram(monGroup, TH1F("ptvarcone20_rel", "ptvarcone20/pt; ptvarcone20/pt; Count", 50, 0.0, 0.2))
    self.addHistogram(monGroup, TH1F("ptvarcone30_rel", "ptvarcone30/pt; ptvarcone30/pt; Count", 50, 0.0, 0.2))
    self.addHistogram(monGroup, TH1F("z0", "z0; z0 ; Count", 50, -200, 200))
    self.addHistogram(monGroup, TH1F("d0", "d0; d0 ; Count", 40, -1, 1))
    self.addHistogram(monGroup, TH1F("d0sig", "d0sig; d0sig ; Count", 40, -10, 10))
 
    self.addHistogram(monGroup, TH2F("mu,ptvarcone20_rel", "HLT ptvarcone20/pt as function of avg #mu; #mu; ptvarcone20/pt; Count",50, 0, 80,50, 0, 0.12))
    self.addHistogram(monGroup, TH2F("eta,ptvarcone20_rel", "HLT ptvarcone20/pt as function of #eta; #eta; ptvarcone20/pt; Count",50, -3, 3,50, 0, 0.12))
    
    self.addHistogram(monGroup, TH2F("pt,ptvarcone20_rel", "HLT ptvarcone20/pt as function of pt; pt [GeV]; ptvarcone20/pt; Count",50, 0, 200,50, 0, 0.12))
    self.addHistogram(monGroup, TH2F("pt_track,ptvarcone20_rel", "HLT ptvarcone20/pt as function of pt_track; pt [GeV]; ptvarcone20/pt; Count",50, 0, 200,50, 0, 0.12))
 
    if self.mc_mode:
      self.addHistogram(monGroup, TH1F("deta1_EMECA", "deta1 EMEC-A; deta1 ; Count", 40, -0.01, 0.01))
      self.addHistogram(monGroup, TH1F("deta1_EMECC", "deta1 EMEC-C; deta1 ; Count", 40, -0.01, 0.01))
      self.addHistogram(monGroup, TH1F("deta1_EMEBA", "deta1 EMEB-A; deta1 ; Count", 40, -0.01, 0.01))
      self.addHistogram(monGroup, TH1F("deta1_EMEBC", "deta1 EMEB-A; deta1 ; Count", 40, -0.01, 0.01))
      self.addHistogram(monGroup, TH1F("deta1", "deta1; deta1 ; Count", 40, -0.01, 0.01))
      self.addHistogram(monGroup, TH1F("charge","charge; charge; Count", 4,-2,2))
      self.addHistogram(monGroup, TH1F("dphiresc", "dphiresc; dphiresc ; Count", 40, -0.1, 0.1))
      self.addHistogram(monGroup, TH2F("z0,ptvarcone20_rel", "HLT ptvarcone20/pt as function of z0; z0; ptvarcone20/pt; Count",50, -200, 200,50, 0, 0.12))
 
 
  #
  # Book efficiencies
  #
  def bookEfficiencies(self, monAlg, trigger, level, subgroup=None, doEmulation=False ):
 
    from TrigEgammaMonitoring.TrigEgammaMonitorHelper import TH1F, TH2F, TProfile
 
    dirname = 'Emulation' if doEmulation else 'Efficiency'
    if subgroup:
      monGroup = self.addGroup( monAlg, trigger+'_'+dirname+'_'+level+'_'+subgroup, self.basePath+'/Shifter/'+trigger+'/'+dirname+'/'+level+'/'+subgroup )
    else:
      monGroup = self.addGroup( monAlg, trigger+'_'+dirname+'_'+level, self.basePath+'/Shifter/'+trigger+'/'+dirname+'/'+level )
 
    # Numerator
    self.addHistogram(monGroup, TH1F("match_pt", "Trigger Matched Offline p_{T}; p_{T} [GeV] ; Count", self._nEtbins, self._etbins))
    self.addHistogram(monGroup, TH1F("match_et", "Trigger Matched Offline E_{T}; E_{T} [GeV]; Count", self._nEtbins, self._etbins))
    self.addHistogram(monGroup, TH1F("match_highet", "Trigger Matched Offline E_{T}; E_{T} [GeV]; Count", 40, 0., 500.))
    self.addHistogram(monGroup, TH1F("match_eta", "Trigger Matched Offline #eta; #eta ; Count", self._nEtabins, self._etabins))
    self.addHistogram(monGroup, TH1F("match_phi", "Trigger Matched #phi; #phi ; Count", 20, -3.2, 3.2))
    self.addHistogram(monGroup, TH1F("match_avgmu", "Trigger Matched <#mu>; <#mu> ; Count", 16, 0, 80))
    self.addHistogram(monGroup, TH1F("match_ptvarcone20rel", "Trigger Matched ptvarcone20rel; ptvarcone20rel ; Count", 50, 0, 0.2))
    self.addHistogram(monGroup, TH1F("match_ptvarcone30rel", "Trigger Matched ptvarcone30rel; ptvarcone30rel ; Count", 50, 0, 0.2))
    self.addHistogram(monGroup, TH1F("match_z0", "Trigger Matched z0; z0 ; Count", 50, -200,200))
    self.addHistogram(monGroup, TH1F("match_d0", "Trigger Matched d0; d0 ; Count", 50, -0.8,0.8))
 
    # Denominator
    self.addHistogram(monGroup, TH1F("pt", "Offline p_{T}; p_{T} [GeV] ; Count", self._nEtbins, self._etbins))
    self.addHistogram(monGroup, TH1F("et", "Offline E_{T}; E_{T} [GeV] ; Count", self._nEtbins, self._etbins))
    self.addHistogram(monGroup, TH1F("highet", "Offline E_{T}; E_{T} [GeV] ; Count", 50, 0., 800.))
    self.addHistogram(monGroup, TH1F("eta", "Offline #eta; #eta ; Count", self._nEtabins, self._etabins))
    self.addHistogram(monGroup, TH1F("phi", "Offline #phi; #phi ; Count", 20, -3.2, 3.2))
    self.addHistogram(monGroup, TH1F("avgmu", "<#mu>; <#mu> ; Count", 16, 0, 80))
    self.addHistogram(monGroup, TH1F("ptvarcone20rel", "ptvarcone20rel; ptvarcone20rel ; Count", 50, 0, 0.2))
    self.addHistogram(monGroup, TH1F("ptvarcone30rel", "ptvarcone30rel; ptvarcone30rel ; Count", 50, 0, 0.2))
    self.addHistogram(monGroup, TH1F("z0", "z0; z0 ; Count", 50, -200, 200))
    self.addHistogram(monGroup, TH1F("d0", "d0; d0 ; Count", 50, -0.8, 0.8))
 
 
    # Efficiency
    self.addHistogram(monGroup, TProfile("pt,pt_passed", "#epsilon(p_T); p_{T} ; Efficiency", self._nEtbins, self._etbins))
    self.addHistogram(monGroup, TProfile("et,et_passed", "#epsilon(E_T); E_{T} [GeV] ; Efficiency", self._nEtbins, self._etbins))
    self.addHistogram(monGroup, TProfile("highet,highet_passed", "#epsilon(E_T); E_{T} [GeV] ; Efficiency", 50, 0., 800.))
    self.addHistogram(monGroup, TProfile("eta,eta_passed", "#epsilon(#eta); #eta ; Efficiency", self._nEtabins, self._etabins))
    self.addHistogram(monGroup, TProfile("phi,phi_passed", "#epsilon(#phi); #phi ; Efficiency", 20, -3.2, 3.2))
    self.addHistogram(monGroup, TProfile("avgmu,avgmu_passed", "#epsilon(<#mu>); <#mu> ; Efficiency", 16, 0, 80))
    self.addHistogram(monGroup, TProfile("ptvarcone20rel,ptvarcone20rel_passed", "#epsilon(ptvarcone20rel); ptvarcone20rel ; Efficiency", 50, 0, 0.2))
    self.addHistogram(monGroup, TProfile("ptvarcone30rel,ptvarcone30rel_passed", "#epsilon(ptvarcone30rel); ptvarcone30rel ; Efficiency", 50, 0, 0.2))
    self.addHistogram(monGroup, TProfile("z0,z0_passed", "#epsilon(z0); z0 ; Efficiency", 50, -200, 200))
    self.addHistogram(monGroup, TProfile("d0,d0_passed", "#epsilon(d0); d0 ; Efficiency", 50, -0.8, 0.8))
 
    #2D plots
    self.addHistogram(monGroup, TH2F("match_avgmu,match_ptvarcone20rel", "Matched ptvarcone20/pt as function of avg #mu; #mu; ptvarcone20/pt; Count",50, 0, 80,50, 0, 0.2))
    self.addHistogram(monGroup, TH2F("match_avgmu,match_ptvarcone30rel", "Matched ptvarcone30/pt as function of avg #mu; #mu; ptvarcone30/pt; Count",50, 0, 80,50, 0, 0.2))
 
    
    
    if self.mc_mode:
      self.addHistogram(monGroup, TH1F("match_npvtx", "Trigger Matched npvtx; npvtx ; Count", 16, 0, 80))
      self.addHistogram(monGroup, TH1F("npvtx", "npvtx; npvtx ; Count", 16, 0, 80))
      self.addHistogram(monGroup, TProfile("npvtx,npvtx_passed", "#epsilon(npvtx); npvtx ; Efficiency", 16, 0, 80))
      self.addHistogram(monGroup, TH2F("match_z0,match_ptvarcone20rel", "Matched ptvarcone20/pt as function of z0; z0; ptvarcone20/pt; Count",50, -200, 200,50, 0, 0.12))
      self.addHistogram(monGroup, TH2F("match_d0,match_ptvarcone20rel", "Matched ptvarcone20/pt as function of d0; d0; ptvarcone20/pt; Count",50, -0.5, 0.5,50, 0, 0.12))
 
      # Inefficiency
      self.addHistogram(monGroup, TProfile("et,et_failed", "#epsilon(E_T); E_{T} [GeV] ; Inefficiency", self._nEtbins, self._etbins))
      self.addHistogram(monGroup, TProfile("highet,highet_failed", "#epsilon(E_T); E_{T} [GeV] ; Inefficiency", 50, 0., 800.))
      self.addHistogram(monGroup, TProfile("eta,eta_failed", "#epsilon(#eta); #eta ; Inefficiency", self._nEtabins, self._etabins))
 
    # Efficiency ET in eta slices
    
    self.addHistogram(monGroup, TProfile("et_slice0,et_slice0_passed", "#epsilon(E_T) in [|#eta| <= 0.8]; E_{T} [GeV]  ; Efficiency", self._nEtbins, self._etbins))
    self.addHistogram(monGroup, TProfile("et_slice1,et_slice1_passed", "#epsilon(E_T) in [0.8 < |#eta| <= 1.37]; E_{T} [GeV]  ; Efficiency", self._nEtbins, self._etbins))
    self.addHistogram(monGroup, TProfile("et_slice2,et_slice2_passed", "#epsilon(E_T) in [1.37 < |#eta| <= 1.54]; E_{T} [GeV]  ; Efficiency", self._nEtbins, self._etbins))
    self.addHistogram(monGroup, TProfile("et_slice3,et_slice3_passed", "#epsilon(E_T) in [1.54 < |#eta| <= 2.50]; E_{T} [GeV]  ; Efficiency", self._nEtbins, self._etbins))
 
 
  def bookInefficiencies(self, monAlg, trigger):
    
    monGroup = self.addGroup( monAlg, trigger+'_Inefficiency', self.basePath+'/Expert/Inefficiency/'+trigger)
    levelLabels = ["L1Calo","L2Calo","L2","EFCalo","HLT"]
    monGroup.defineHistogram("InefficiencyCounts", type='TH1F', path='', title="Inefficiency; Steps ; Count",xbins=len(levelLabels), xmin=0, xmax=len(levelLabels), xlabels=levelLabels)
    
 
  def bookL1CaloResolutions(self, monAlg, trigger):
 
    from TrigEgammaMonitoring.TrigEgammaMonitorHelper import TH1F, TH2F
    monGroup = self.addGroup( monAlg, trigger+'_Resolutions_L1Calo', self.basePath+'/Shifter/'+trigger+'/Resolutions/L1Calo' )
    self.addHistogram(monGroup, TH1F("res_et", "E_{T} resolution; (E_{T}(on)-E_{T}(off))/E_{T}(off) ; Count", 100, -0.1, 0.1))
 
    if self.mc_mode:
      self.addHistogram(monGroup, TH2F("eta,res_et", "E_{T} resolution as function of #eta; #eta; (E_{T}(on)-E_{T}(off))/E_{T}(off); Count",50, -2.47, 2.47,50, -0.1, 0.1))
      self.addHistogram(monGroup, TH1F("eta", "eta; eta ; Count", 50, -2.47, 2.47))
    
 
  def bookL1CaloAbsResolutions(self, monAlg, trigger):
 
    from TrigEgammaMonitoring.TrigEgammaMonitorHelper import TH1F, TH2F
    monGroup = self.addGroup( monAlg, trigger+'_AbsResolutions_L1Calo', self.basePath+'/Shifter/'+trigger+'/AbsResolutions/L1Calo' )
    self.addHistogram(monGroup, TH1F("res_et", "E_{T} resolution; (E_{T}(on)-E_{T}(off))/E_{T}(off) ; Count", 100, -0.1, 0.1))
    self.addHistogram(monGroup, TH1F("eta", "#eta; #eta ; Count", 50, -2.47, 2.47))
 
    if self.mc_mode:
      self.addHistogram(monGroup, TH2F("eta,res_et", "E_{T} resolution as function of #eta; #eta; (E_{T}(on)-E_{T}(off))/E_{T}(off); Count",50, -2.47, 2.47,50, -0.1, 0.1))
 
 
  def bookL2CaloResolutions(self, monAlg, trigger):
 
    from TrigEgammaMonitoring.TrigEgammaMonitorHelper import TH1F, TH2F
    monGroup = self.addGroup( monAlg, trigger+'_Resolutions_L2Calo', self.basePath+'/Shifter/'+trigger+'/Resolutions/FastCalo' )
    
    # online values used to fill all 2d histograms
 
    self.addHistogram(monGroup, TH1F("res_Rhad", "Rhad resolution; (Rhad(on)-Rhad(off))/Rhad(off) ; Count", 20, -10., 10.))
    self.addHistogram(monGroup, TH1F("res_et", "E_{T} resolution; (E_{T}(on)-E_{T}(off))/E_{T}(off) ; Count", 100, -0.1, 0.1))
    self.addHistogram(monGroup, TH1F("res_eta", "#eta resolution; (#eta(on)-#eta(off))/#eta(off) ; Count", 40, -0.001, 0.001))
    self.addHistogram(monGroup, TH1F("res_phi", "#phi resolution; (#phi(on)-#phi(off))/#phi(off) ; Count", 40, -0.001, 0.001))
    self.addHistogram(monGroup, TH1F("res_ethad", "ethad resolution; (ethad(on)-ethad(off))/ethad(off) ; Count", 20, -5, 5))
    self.addHistogram(monGroup, TH1F("res_weta2", "weta2 resolution; (weta2(on)-weta2(off))/weta2(off) ; Count", 20, -0.05, 0.05))
    self.addHistogram(monGroup, TH1F("res_Reta", "Reta resolution; (Reta(on)-Reta(off))/Reta(off) ; Count", 20, -0.01, 0.01))
    self.addHistogram(monGroup, TH1F("res_Rphi", "Rphi resolution; (Rphi(on)-Rphi(off))/Rphi(off) ; Count", 20, -0.01, 0.01))
    self.addHistogram(monGroup, TH1F("res_eratio", "eratio resolution; (eratio(on)-eratio(off))/eratio(off) ; Count", 20, -0.001, 0.001))
 
    if self.mc_mode:
      self.addHistogram(monGroup, TH1F("res_ethad1", "ethad1 resolution; (ethad1(on)-ethad1(off))/ethad1(off) ; Count", 20, -5, 5))
      self.addHistogram(monGroup, TH1F("res_Rhad1", "Rhad1; Rhad1 resolution; (Rhad1(on)-Rhad1(off))/Rhad1(off)", 20, -10., 10.))
      self.addHistogram(monGroup, TH1F("res_f1", "f1 resolution; (f1(on)-f1(off))/f1(off) ; Count", 20, -0.05, 0.05))
      self.addHistogram(monGroup, TH1F("res_f3", "f3 resolution; (f3(on)-f3(off))/f3(off) ; Count", 20, -0.05, 0.05))
   
      # Book all 2D histograms
      self.addHistogram(monGroup, TH2F("et,res_etVsEt", "E_{T} resolution as function of E_{T}; E_{T} [GeV]; (E_{T}(on)-E_{T}(off))/E_{T}(off); Count",
                  50, 0., 100.,
                  100, -0.1, 0.1))
      self.addHistogram(monGroup, TH2F("eta,res_et", "E_{T} resolution as function of #eta; #eta; (E_{T}(on)-E_{T}(off))/E_{T}(off); Count",
                  50, -2.47, 2.47,
                  100, -0.1, 0.1))
      self.addHistogram(monGroup, TH2F("eta,res_f3", "L2Calo f3 resolution as function of #eta; #eta; (f3(on)-f3(off))/f3(off); Count",
                  50, -2.47, 2.47,
                  20, -0.05, 0.05))
      self.addHistogram(monGroup, TH2F("et,res_f3", "L2Calo f3 resolution as function of E_{T}; E_{T} [GeV]; (f3(on)-f3(off))/f3(off); Count",
                  50, 0., 100.,
                  20, -0.05, 0.05))
      self.addHistogram(monGroup, TH2F("eta,res_f1", "L2Calo f1 resolution as function of #eta; #eta; (f1(on)-f1(off))/f1(off); Count",
                  50, -2.47, 2.47,
                  20, -0.05, 0.05))
      self.addHistogram(monGroup, TH2F("et,res_f1", "L2Calo f1 resolution as function of E_{T}; E_{T} [GeV]; (f1(on)-f1(off))/f1(off); Count",
                  50, 0., 100.,
                  20, -0.05, 0.05))
      self.addHistogram(monGroup, TH2F("eta,res_weta2", "L2Calo weta2 resolution as function of #eta; #eta; (weta2(on)-weta2(off))/weta2(off); Count",
                  50, -2.47, 2.47,
                  20, -0.05, 0.05))
      self.addHistogram(monGroup, TH2F("et,res_weta2", "L2Calo weta2 resolution as function of E_{T}; E_{T} [GeV]; (weta2(on)-weta2(off))/weta2(off); Count",
                  50, 0., 100.,
                  20, -0.05, 0.05))
      self.addHistogram(monGroup, TH2F("eta,res_Reta", "L2Calo Reta resolution as function of #eta; #eta; (Reta(on)-Reta(off))/Reta(off); Count",
                  50, -2.47, 2.47,
                  20, -0.05, 0.05))
      self.addHistogram(monGroup, TH2F("et,res_Reta", "L2Calo Reta resolution as function of E_{T}; E_{T} [GeV]; (Reta(on)-Reta(off))/Reta(off); Count",
                  50, 0., 100.,
                  20, -0.05, 0.05))
      self.addHistogram(monGroup, TH2F("eta,res_Rhad1", "L2Calo E_{T} Rhad1 resolution as function of #eta; #eta; (Rhad1(on)-Rhad1(off))/Rhad1(off); Count",
                  50, -2.47, 2.47,
                  20, -10, 10))
      self.addHistogram(monGroup, TH2F("et,res_Rhad1", "L2Calo E_{T} RHad1 resolution as function of E_{T}; E_{T} [GeV]; (Rhad1(on)-Rhad1(off))/Rhad1(off); Count",
                  50, 0., 100.,
                  20, -10, 10))
      self.addHistogram(monGroup, TH2F("eta,res_Rhad", "L2Calo E_{T} Rhad resolution as function of #eta; #eta; (Rhad(on)-Rhad(off))/Rhad(off); Count",
                  50, -2.47, 2.47,
                  20, -10, 10))
      self.addHistogram(monGroup, TH2F("et,res_Rhad", "L2Calo E_{T} RHad resolution as function of E_{T}; E_{T} [GeV]; (Rhad(on)-Rhad(off))/Rhad(off); Count",
                  50, 0., 100.,
                  20, -10, 10))
      self.addHistogram(monGroup, TH2F("eta,res_ethad1", "L2Calo E_{T} Had1 resolution as function of #eta; #eta; (ethad1(on)-ethad1(off))/ethad1(off); Count",
                  50, -2.47, 2.47,
                  20, -0.5, 0.5))
      self.addHistogram(monGroup, TH2F("et,res_ethad1", "L2Calo E_{T} Had1 resolution as function of E_{T}; E_{T} [GeV]; (ethad1(on)-ethad1(off))/ethad1(off); Count",
                  50, 0., 100.,
                  20, -0.5, 0.5))
      self.addHistogram(monGroup, TH2F("eta,res_ethad", "L2Calo E_{T} Had resolution as function of #eta; #eta; (ethad(on)-ethad(off))/ethad(off); Count",
                  50, -2.47, 2.47,
                  20, -0.5, 0.5))
      self.addHistogram(monGroup, TH2F("et,res_ethad", "L2Calo E_{T} Had resolution as function of E_{T}; E_{T} [GeV]; (ethad(on)-ethad(off))/ethad(off); Count",
                  50, 0., 100.,
                  20, -0.5, 0.5))
      self.addHistogram(monGroup, TH2F("eta,res_eratio", "L2Calo eratio resolution as function of #eta; #eta; (eratio(on)-eratio(off))/eratio(off); Count",
                  50, -2.47, 2.47,
                  20, -0.001, 0.001))
      self.addHistogram(monGroup, TH2F("et,res_eratio", "L2Calo eratio resolution as function of E_{T}; E_{T} [GeV]; (eratio(on)-eratio(off))/eratio(off); Count",
                  50, 0., 100.,
                  50, -0.001, 0.001))
 
 
  def bookHLTResolutions(self, monAlg, trigger,level):
    
    from TrigEgammaMonitoring.TrigEgammaMonitorHelper import TH1F, TH2F
    monGroup = self.addGroup( monAlg, trigger+'_Resolutions_HLT', self.basePath+'/Shifter/'+trigger+'/Resolutions/'+level )
     
    # online values used to fill all 2d histograms
    self.addHistogram(monGroup, TH1F("et", "E_{T}; E_{T}[GeV] ; Count", 50, 0.0, 100.))
    self.addHistogram(monGroup, TH1F("eta", "#eta; #eta ; Count", 50, -2.47, 2.47))
    self.addHistogram(monGroup, TH1F("mu", "#mu; #mu ; Count", 50, 0, 100))
    
    self.addHistogram(monGroup, TH1F("res_et", "E_{T} resolution; (E_{T}(on)-E_{T}(off))/E_{T}(off) ; Count", 100, -0.1, 0.1))
    self.addHistogram(monGroup, TH1F("res_eta", "#eta resolution; (#eta(on)-#eta(off))/#eta(off) ; Count", 40, -0.001, 0.001))
    self.addHistogram(monGroup, TH1F("res_phi", "#phi resolution; (#phi(on)-#phi(off))/#phi(off) ; Count", 40, -0.001, 0.001))
    self.addHistogram(monGroup, TH1F("res_ethad", "ethad resolution; (ethad(on)-ethad(off))/ethad(off) ; Count", 20, -5, 5))
    self.addHistogram(monGroup, TH1F("res_Rhad", "Rhad resolution; (Rhad(on)-Rhad(off))/Rhad(off) ; Count", 20, -10., 10.))
    self.addHistogram(monGroup, TH1F("res_Reta", "Reta resolution; (Reta(on)-Reta(off))/Reta(off) ; Count", 20, -0.01, 0.01))
    self.addHistogram(monGroup, TH1F("res_Rphi", "Rphi resolution; (Rphi(on)-Rphi(off))/Rphi(off) ; Count", 20, -0.01, 0.01))
    self.addHistogram(monGroup, TH1F("res_weta2", "weta2 resolution; (weta2(on)-weta2(off))/weta2(off) ; Count", 20, -0.05, 0.05))
    self.addHistogram(monGroup, TH1F("res_eratio", "eratio resolution; (eratio(on)-eratio(off))/eratio(off) ; Count", 20, -0.001, 0.001))
 
 
    if self.mc_mode:
      self.addHistogram(monGroup, TH1F("res_weta1", "weta1 resolution; (weta1(on)-weta1(off))/weta1(off) ; Count", 20, -0.05, 0.05))
      self.addHistogram(monGroup, TH1F("res_ethad1", "ethad1 resolution; (ethad1(on)-ethad1(off))/ethad1(off) ; Count", 20, -5, 5))
      self.addHistogram(monGroup, TH1F("res_Rhad1", "Rhad1; Rhad1 resolution; (Rhad1(on)-Rhad1(off))/Rhad1(off)", 20, -10., 10.))
      self.addHistogram(monGroup, TH2F("eta,res_et", "E_{T} resolution as function of #eta; #eta; (E_{T}(on)-E_{T}(off))/E_{T}(off); Count",50, -2.47, 2.47,100, -0.1, 0.1))
      self.addHistogram(monGroup, TH2F("et,res_et", "E_{T} resolution as function of E_{T}; E_{T} [GeV]; (E_{T}(on)-E_{T}(off))/E_{T}(off); Count",50, 0., 100.,100, -0.1, 0.1))
      self.addHistogram(monGroup, TH1F("res_etInEta0", "HLT E_{T} resolution in #eta = [0#div1.37]; (E_{T}(on)-E_{T}(off))/E_{T}(off) ; Count", 200, -0.1, 0.1))
      self.addHistogram(monGroup, TH1F("res_etInEta1", "HLT E_{T} resolution in #eta = [1.37#div1.52]; (E_{T}(on)-E_{T}(off))/E_{T}(off) ; Count", 200, -0.1, 0.1))
      self.addHistogram(monGroup, TH1F("res_etInEta2", "HLT E_{T} resolution in #eta = [1.55#div1.8]; (E_{T}(on)-E_{T}(off))/E_{T}(off) ; Count", 200, -0.1, 0.1))
      self.addHistogram(monGroup, TH1F("res_etInEta3", "HLT E_{T} resolution in #eta = [1.8#div2.45]; (E_{T}(on)-E_{T}(off))/E_{T}(off) ; Count", 200, -0.1, 0.1))
      self.addHistogram(monGroup, TH1F("res_f1", "f1 resolution; (f1(on)-f1(off))/f1(off) ; Count", 20, -0.05, 0.05))
      self.addHistogram(monGroup, TH1F("res_f3", "f3 resolution; (f3(on)-f3(off))/f3(off) ; Count", 20, -0.05, 0.05))
    
 
 
  def bookHLTElectronResolutions(self, monAlg, trigger, isolated=False):
 
    from TrigEgammaMonitoring.TrigEgammaMonitorHelper import TH1F, TH2F
    monGroup = self.addGroup( monAlg, trigger+'_Resolutions_HLT', self.basePath+'/Shifter/'+trigger+'/Resolutions/HLT')
 
    self.addHistogram(monGroup, TH1F("res_pt", "p_{T} resolution; (p_{T}(on)-p_{T}(off))/p_{T}(off) ; Count", 120, -1.5, 1.5))
    self.addHistogram(monGroup, TH1F("res_deta1", "deta1; deta1 ; (deta1(on)-deta1(off))/deta1(off)", 100, -1., 1.))
    self.addHistogram(monGroup, TH1F("res_deta2", "deta2; deta2 ; (deta2(on)-deta2(off))/deta2(off)", 100, -1., 1.))
    self.addHistogram(monGroup, TH1F("res_dphi2", "dphi2; dphi2 ; (dphi2(on)-dphi2(off))/dphi2(off)", 100, -1., 1.))
    self.addHistogram(monGroup, TH1F("res_z0", "resolution z0; (z0(on)-z0(off)) ; Count", 100, -0.5, 0.5))
    self.addHistogram(monGroup, TH1F("res_d0", "resolution d0; (d0(on)-d0(off)) ; Count", 100, -0.5, 0.5))
    self.addHistogram(monGroup, TH1F("res_d0sig", "resolution d0sig; (d0sig(on)-d0sig(off)) ; Count", 50, -10, 10))
 
    if self.mc_mode:
      self.addHistogram(monGroup, TH1F("pt", "online p_{T}; p_{T}; Count", 50, 0., 100.))
      self.addHistogram(monGroup, TH1F("res_nscthits","resolution nSCTHit; (nSCTHits(on)-nSCTHits(off); Count",20, -10, 10))
      self.addHistogram(monGroup, TH1F("res_npixhits","resolution nPixHit; (nPixHits(on)-nPixHits(off)); Count",10, -5, 5))
      self.addHistogram(monGroup, TH2F("pt,res_eprobht", "eProbHT resolution as function of p_{T}; p_{T} [GeV]; (eprobHT(on)-eprobHT(off)); Count",50, 0., 100.,50, -1., 1.))
      self.addHistogram(monGroup, TH1F("res_dphiresc", "dphiresc; (dphires(on)-dphires(off))/dphires(off) ; Count", 100, -1., 1.))
      self.addHistogram(monGroup, TH1F("res_eprobht","resolution eProbHT; (eProbHT(on)-eProbHT(off)); Count",50, -1, 1))
 
    if isolated:
        self.addHistogram(monGroup, TH1F("res_ptcone20", "resolution ptcone20; ptcone20 (on-off)/off; Count", 200, -0.1, 0.1))
        self.addHistogram(monGroup, TH1F("res_ptcone20_rel", "resolution ptcone20/pt; ptcone20/pt (on-off)/off; Count", 100, -0.1, 0.1))
        self.addHistogram(monGroup, TH2F("eta,res_ptcone20_rel", "HLT ptcone20/pt resolution as function of #eta; #eta; (on-off)/off; Count",
                    50, -2.47, 2.47,
                    100, -0.1, 0.1))
        self.addHistogram(monGroup, TH2F("et,res_ptcone20_rel", "HLT ptcone20/pt resolution as function of E_{T}; E_{T} [GeV]; (on-off)/off; Count",
                    50, 0., 100.,
                    100, -0.1, 0.1))
        self.addHistogram(monGroup, TH2F("mu,res_ptcone20", "HLT ptcone20 resolution as function of avg #mu; #mu; (on-off)/off; Count",
                    50, 0, 100,
                    100, -0.1, 0.1))
        self.addHistogram(monGroup, TH2F("mu,res_ptcone20_rel", "HLT ptcone20/pt resolution as function of avg #mu; #mu; (on-off)/off; Count",
                    50, 0, 100,
                    100, -0.1, 0.1))
 
        self.addHistogram(monGroup, TH1F("res_ptvarcone20", "resolution ptvarcone20; ptvarcone20 (on-off)/off; Count", 200, -0.1, 0.1))
        self.addHistogram(monGroup, TH1F("res_ptvarcone20_rel", "resolution ptvarcone20/pt; ptvarcone20/pt (on-off)/off; Count", 100, -0.1, 0.1))
        self.addHistogram(monGroup, TH2F("eta,res_ptvarcone20_rel", "HLT ptvarcone20/pt resolution as function of #eta; #eta; (on-off)/off; Count",
                    50, -2.47, 2.47,
                    100, -0.1, 0.1))
        self.addHistogram(monGroup, TH2F("et,res_ptvarcone20_rel", "HLT ptvarcone20/pt resolution as function of E_{T}; E_{T} [GeV]; (on-off)/off; Count",
                    50, 0., 100.,
                    100, -0.1, 0.1))
        self.addHistogram(monGroup, TH2F("mu,res_ptvarcone20", "HLT ptvarcone20 resolution as function of avg #mu; #mu; (on-off)/off; Count",
                    50, 0, 100,
                    100, -0.1, 0.1))
        self.addHistogram(monGroup, TH2F("mu,res_ptvarcone20_rel", "HLT ptvarcone20/pt resolution as function of avg #mu; #mu; (on-off)/off; Count",
                    50, 0, 100,
                    100, -0.1, 0.1))
 
 
  def bookHLTPhotonResolutions(self, monAlg, trigger, isolated=False):
 
 
    from TrigEgammaMonitoring.TrigEgammaMonitorHelper import TH1F, TH2F
    monGroup = self.addGroup( monAlg, trigger+'_Resolutions_HLT', self.basePath+'/Shifter/'+trigger+'/Resolutions/HLT' )
 
    self.addHistogram(monGroup, TH1F("res_et_cnv", "HLT E_{T} resolution for converted Photons; (E_{T}(on)-E_{T}(off))/E_{T}(off) ; Count", 200, -0.1, 0.1))
    self.addHistogram(monGroup, TH1F("res_et_uncnv", "HLT E_{T} resolution for unconverted Photons; (E_{T}(on)-E_{T}(off))/E_{T}(off) ; Count", 200, -0.1, 0.1))
    
    if self.data_type is DQDataType.MC:
      self.addHistogram(monGroup, TH2F("eta,res_cnv_et", 
                  "HLT E_{T} resolution as function of #eta for converted Photons; #eta; (E_{T}(on)-E_{T}(off))/E_{T}(off); Count",
                  50, -2.47, 2.47,
                  200, -0.1, 0.1))
      self.addHistogram(monGroup, TH2F("et,res_cnv_et", 
                  "HLT E_{T} resolution as function of E_{T} for converted Photons; E_{T} [GeV]; (E_{T}(on)-E_{T}(off))/E_{T}(off); Count",
                  50, 0., 100.,
                  200, -0.1, 0.1))
      self.addHistogram(monGroup, TH2F("eta,res_uncnv_et", 
                  "HLT E_{T} resolution as function of #eta for unconverted Photons; #eta; (E_{T}(on)-E_{T}(off))/E_{T}(off); Count",
                  50, -2.47, 2.47,
                  200, -0.1, 0.1))
      self.addHistogram(monGroup, TH2F("et,res_uncnv_et", 
                  "HLT E_{T} resolution as function of E_{T} for unconverted Photons; E_{T} [GeV]; (E_{T}(on)-E_{T}(off))/E_{T}(off); Count",
                  50, 0., 100.,
                  200, -0.1, 0.1))
      self.addHistogram(monGroup, TH1F("res_cnv_etInEta0", "HLT E_{T} resolution in #eta = [0#div1.37]; (E_{T}(on)-E_{T}(off))/E_{T}(off) ; Count", 200, -0.1, 0.1))
      self.addHistogram(monGroup, TH1F("res_cnv_etInEta1", "HLT E_{T} resolution in #eta = [1.37#div1.52]; (E_{T}(on)-E_{T}(off))/E_{T}(off) ; Count", 200, -0.1, 0.1))
      self.addHistogram(monGroup, TH1F("res_cnv_etInEta2", "HLT E_{T} resolution in #eta = [1.55#div1.8]; (E_{T}(on)-E_{T}(off))/E_{T}(off) ; Count", 200, -0.1, 0.1))
      self.addHistogram(monGroup, TH1F("res_cnv_etInEta3", "HLT E_{T} resolution in #eta = [1.8#div2.45]; (E_{T}(on)-E_{T}(off))/E_{T}(off) ; Count", 200, -0.1, 0.1))
      self.addHistogram(monGroup, TH1F("res_uncnv_etInEta0", "HLT E_{T} resolution in #eta = [0#div1.37]; (E_{T}(on)-E_{T}(off))/E_{T}(off) ; Count", 200, -0.1, 0.1))
      self.addHistogram(monGroup, TH1F("res_uncnv_etInEta1", "HLT E_{T} resolution in #eta = [1.37#div1.52]; (E_{T}(on)-E_{T}(off))/E_{T}(off) ; Count", 200, -0.1, 0.1))
      self.addHistogram(monGroup, TH1F("res_uncnv_etInEta2", "HLT E_{T} resolution in #eta = [1.55#div1.8]; (E_{T}(on)-E_{T}(off))/E_{T}(off) ; Count", 200, -0.1, 0.1))
      self.addHistogram(monGroup, TH1F("res_uncnv_etInEta3", "HLT E_{T} resolution in #eta = [1.8#div2.45]; (E_{T}(on)-E_{T}(off))/E_{T}(off) ; Count", 200, -0.1, 0.1))
 
    
    if isolated:
 
        self.addHistogram(monGroup, TH1F("res_topoetcone20", "resolution topoetcone20; ptcone20 (on-off)/off; Count", 200, -0.1, 0.1))
        self.addHistogram(monGroup, TH1F("res_topoetcone20_rel", "resolution topoetcone20/pt; ptcone20/pt (on-off)/off; Count", 100, -0.1, 0.1))
        
        if self.detailedHistograms:
          self.addHistogram(monGroup, TH2F("eta,res_topoetcone20_rel", "HLT topoetcone20/pt resolution as function of #eta; #eta; (on-off)/off; Count",
                      50, -2.47, 2.47,
                      100, -0.1, 0.1))
          self.addHistogram(monGroup, TH2F("et,res_topoetcone20_rel", "HLT topoetcone20/pt resolution as function of E_{T}; E_{T} [GeV]; (on-off)/off; Count",
                      50, 0., 100.,
                      100, -0.1, 0.1))
          self.addHistogram(monGroup, TH2F("mu,res_topoetcone20", "HLT topoetcone20 resolution as function of avg #mu; #mu; (on-off)/off; Count",
                      50, 0, 100,
                      100, -0.1, 0.1))
          self.addHistogram(monGroup, TH2F("mu,res_topoetcone20_rel", "HLT topoetcone20/pt resolution as function of avg #mu; #mu; (on-off)/off; Count",
                      50, 0, 100,
                      100, -0.1, 0.1))
 
 
 
  def bookTopoHistograms(self, monAlg, trigger_configs ):
    
    from TrigEgammaMonitoring.TrigEgammaMonitorHelper import TH1F, TProfile
    from TrigEgammaMonitoring.TrigEgammaMonitCategory import topo_config
  
 
    for d in trigger_configs:
 
      trigger = d['trigger_num']
 
      if not d['topo'] in topo_config.keys():
        self.__logger.fatal("Mon combo tool only support Zee, Jpsiee, Heg trigger. Current chain is %s", trigger)
 
      monGroup_on  = self.addGroup( monAlg, trigger+'_Efficiency_HLT', self.basePath+'/Expert/'+trigger+'/Efficiency/HLT' )
      monGroup_off = self.addGroup( monAlg, trigger+'_Efficiency_Offline', self.basePath+'/Expert/'+trigger+'/Efficiency/Offline' )
 
      xmin = topo_config[d['topo']]['mass'][0]
      xmax = topo_config[d['topo']]['mass'][1]
      self.addHistogram(monGroup_on, TH1F("mass", "Online M(ee); m_ee [GeV] ; Count", 50, xmin, xmax))
      self.addHistogram(monGroup_on, TH1F("match_mass", "Online M(ee); m_ee [GeV] ; Count", 50, xmin, xmax))
      self.addHistogram(monGroup_on, TProfile("mass,match_mass", "Online #epsilon(M(ee)); m_ee; #epsilon(M(ee))", 50, xmin, xmax))
      self.addHistogram(monGroup_off, TH1F("mass", "Offline M(ee); m_ee [GeV] ; Count", 50, xmin, xmax))
      self.addHistogram(monGroup_off, TH1F("match_mass", "Offline M(ee); m_ee [GeV] ; Count", 50, xmin, xmax))
      self.addHistogram(monGroup_off, TProfile("mass,match_mass", "Offline #epsilon(M(ee)); p_{T} ; #epsilon(M(ee))", 50, xmin, xmax))
 
      xmin = topo_config[d['topo']]['dphi'][0]
      xmax = topo_config[d['topo']]['dphi'][1]
      self.addHistogram(monGroup_on, TH1F("dphi", "Online #Delta#phi; #Delte#phi; Count", 50, xmin, xmax))
      self.addHistogram(monGroup_on, TH1F("match_dphi", "Online #Delta#phi; #Delte#phi; Count", 50, xmin, xmax))
      self.addHistogram(monGroup_on, TProfile("dphi,match_dphi", "Online #epsilon(#Delta#phi); #Delta#phi; #epsilon(#Delta#phi)", 50, xmin, xmax))
      self.addHistogram(monGroup_off, TH1F("dphi", "Offline #Delta#phi; #Delte#phi; Count", 50, xmin, xmax))
      self.addHistogram(monGroup_off, TH1F("match_dphi", "Offline #Delta#phi; #Delte#phi; Count", 50, xmin, xmax))
      self.addHistogram(monGroup_off, TProfile("dphi,match_dphi", "Offline #epsilon(#Delta#phi); #Delta#phi; #epsilon(#Delta#phi)", 50, xmin, xmax))
 
 
  #
  # Set binning
  #
  def setBinning(self, doJpsiee=False):
 
    """ Method to define all binning required that is variable"""
 
    # Binning as defined in TP framework
    coarse_eta_bins = [-2.47,-1.52,-1.37,-0.60,0.00,0.60,1.37,1.52,2.47] # 9 items
 
    coarse_et_bins = [4.,20.,30.,40.,50.,60.,150.] # 7 items
 
    default_eta_bins = [-2.47,-2.37,-2.01,-1.81,-1.52,-1.37,-1.15,-0.80,-0.60,-0.10,0.00,
        0.10, 0.60, 0.80, 1.15, 1.37, 1.52, 1.81, 2.01, 2.37, 2.47] # 21 items
 
    default_et_bins = [4.,7.,10.,15.,20.,25.,30.,35.,40.,45.,50.,60.,80.,150.] # 14 items
 
    etabins = [-2.47,-2.37,-2.01,-1.81,-1.52,-1.37,-1.15,-0.8,-0.6,-0.1,
        0.0,0.1,0.6,0.8,1.15,1.37,1.52,1.81,2.01,2.37,2.47] # 21 items
 
    # TH2 with variable bin x-Axis, but constant bin y-Axis takes only Double_t arrays
    etbins_Zee = [0.,2.,4.,6.,8.,10.,
        12.,14.,16.,18.,20.,22.,24.,26.,28.,
                  30.,32.,34.,36.,38.,40.,42.,44.,46.,48.,50.,55.,60.,65.,80.,100.,120.,140., 170., 200.,250.] # 36 items
 
    etbins_Jpsiee = [ 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5,
        5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5,
        10,10.5,11,11.5,12,12.5,13,13.5,14,14.5,
        15,15.5,16,16.5,17,17.5,18,18.5,19,19.5,
        20,20.5,21,21.5,22,22.5,23,23.5,24,24.5,
        25,25.5] # 52 items
 
 
    if doJpsiee:
        self._nEtbins=51
        self._etbins = etbins_Jpsiee[0:self._nEtbins+1]
    else:
        self._nEtbins=35
        self._etbins = etbins_Zee[0:self._nEtbins+1]
 
    # Define the binning
    self._nEtabins=20
    self._ndefaultEtbins=13
    self._ndefaultEtabins=20
    self._ncoarseEtbins=6
    self._ncoarseEtabins=8
 
    #Fill the arrays
    self._etabins = etabins[0:self._nEtabins+1]
    self._defaultEtbins = default_et_bins[0:self._ndefaultEtbins+1]
    self._defaultEtabins = default_eta_bins[0:self._ndefaultEtabins+1]
    self._coarseEtbins = coarse_et_bins[0:self._ncoarseEtbins+1]
    self._coarseEtabins = coarse_eta_bins[0:self._ncoarseEtabins+1]
 
 
 
  def getTrigInfo( self, trigger ):
 
    class TrigEgammaInfo(object):
 
      def __init__(self, trigger):
        self.__chain = trigger
 
      def chain(self):
        return self.__chain
      
      def isL1Item(self):
        return True if self.chain().startswith('L1') else False
 
      def isElectron(self):
        return True if (self.isL1Item() or self.chain().startswith('HLT_e')) else False
      
      def isPhoton(self):
        return True if (self.chain().startswith('HLT_g')) else False
 
      def pidname(self):
        return self.chain().split('_')[2]
 
      def isIsolated(self):
        for part_name in ['iloose', 'ivarloose', 'icaloloose', 'icalovloose', 'icalotight']:
          if part_name in self.chain():
            return True
        return False
 
 
 
    return TrigEgammaInfo(trigger)