PostProcessorHGCAL_cfi.py

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import FWCore.ParameterSet.Config as cms
from DQMServices.Core.DQMEDHarvester import DQMEDHarvester
 
maxlayerzm =  50# last layer of BH -z
maxlayerzp =  100# last layer of BH +z
 
eff_layers = ["effic_eta_layer{:02d} 'LayerCluster Efficiency vs #eta Layer{:02d} in z-' Num_CaloParticle_Eta_perlayer{:02d} Denom_CaloParticle_Eta_perlayer{:02d}".format(i, i%maxlayerzm+1, i, i) if (i<maxlayerzm) else "effic_eta_layer{:02d} 'LayerCluster Efficiency vs #eta Layer{:02d} in z+' Num_CaloParticle_Eta_perlayer{:02d} Denom_CaloParticle_Eta_perlayer{:02d}".format(i, i%maxlayerzm+1, i, i) for i in range(maxlayerzp) ]
eff_layers.extend(["effic_phi_layer{:02d} 'LayerCluster Efficiency vs #phi Layer{:02d} in z-' Num_CaloParticle_Phi_perlayer{:02d} Denom_CaloParticle_Phi_perlayer{:02d}".format(i, i%maxlayerzm+1, i, i) if (i<maxlayerzm) else "effic_phi_layer{:02d} 'LayerCluster Efficiency vs #phi Layer{:02d} in z+' Num_CaloParticle_Phi_perlayer{:02d} Denom_CaloParticle_Phi_perlayer{:02d}".format(i, i%maxlayerzm+1, i, i) for i in range(maxlayerzp) ])
eff_layers.extend(["duplicate_eta_layer{:02d} 'LayerCluster Duplicate(Split) Rate vs #eta Layer{:02d} in z-' NumDup_CaloParticle_Eta_perlayer{:02d} Denom_CaloParticle_Eta_perlayer{:02d}".format(i, i%maxlayerzm+1, i, i) if (i<maxlayerzm) else "duplicate_eta_layer{:02d} 'LayerCluster Duplicate(Split) Rate vs #eta Layer{:02d} in z+' NumDup_CaloParticle_Eta_perlayer{:02d} Denom_CaloParticle_Eta_perlayer{:02d}".format(i, i%maxlayerzm+1, i, i) for i in range(maxlayerzp) ])
eff_layers.extend(["duplicate_phi_layer{:02d} 'LayerCluster Duplicate(Split) Rate vs #phi Layer{:02d} in z-' NumDup_CaloParticle_Phi_perlayer{:02d} Denom_CaloParticle_Phi_perlayer{:02d}".format(i, i%maxlayerzm+1, i, i) if (i<maxlayerzm) else "duplicate_phi_layer{:02d} 'LayerCluster Duplicate(Split) Rate vs #phi Layer{:02d} in z+' NumDup_CaloParticle_Phi_perlayer{:02d} Denom_CaloParticle_Phi_perlayer{:02d}".format(i, i%maxlayerzm+1, i, i) for i in range(maxlayerzp) ])
eff_layers.extend(["fake_eta_layer{:02d} 'LayerCluster Fake Rate vs #eta Layer{:02d} in z-' Num_LayerCluster_Eta_perlayer{:02d} Denom_LayerCluster_Eta_perlayer{:02d} fake".format(i, i%maxlayerzm+1, i, i) if (i<maxlayerzm) else "fake_eta_layer{:02d} 'LayerCluster Fake Rate vs #eta Layer{:02d} in z+' Num_LayerCluster_Eta_perlayer{:02d} Denom_LayerCluster_Eta_perlayer{:02d} fake".format(i, i%maxlayerzm+1, i, i) for i in range(maxlayerzp) ])
eff_layers.extend(["fake_phi_layer{:02d} 'LayerCluster Fake Rate vs #phi Layer{:02d} in z-' Num_LayerCluster_Phi_perlayer{:02d} Denom_LayerCluster_Phi_perlayer{:02d} fake".format(i, i%maxlayerzm+1, i, i) if (i<maxlayerzm) else "fake_phi_layer{:02d} 'LayerCluster Fake Rate vs #phi Layer{:02d} in z+' Num_LayerCluster_Phi_perlayer{:02d} Denom_LayerCluster_Phi_perlayer{:02d} fake".format(i, i%maxlayerzm+1, i, i) for i in range(maxlayerzp) ])
eff_layers.extend(["merge_eta_layer{:02d} 'LayerCluster Merge Rate vs #eta Layer{:02d} in z-' NumMerge_LayerCluster_Eta_perlayer{:02d} Denom_LayerCluster_Eta_perlayer{:02d}".format(i, i%maxlayerzm+1, i, i) if (i<maxlayerzm) else "merge_eta_layer{:02d} 'LayerCluster Merge Rate vs #eta Layer{:02d} in z+' NumMerge_LayerCluster_Eta_perlayer{:02d} Denom_LayerCluster_Eta_perlayer{:02d}".format(i, i%maxlayerzm+1, i, i) for i in range(maxlayerzp) ])
eff_layers.extend(["merge_phi_layer{:02d} 'LayerCluster Merge Rate vs #phi Layer{:02d} in z-' NumMerge_LayerCluster_Phi_perlayer{:02d} Denom_LayerCluster_Phi_perlayer{:02d}".format(i, i%maxlayerzm+1, i, i) if (i<maxlayerzm) else "merge_phi_layer{:02d} 'LayerCluster Merge Rate vs #phi Layer{:02d} in z+' NumMerge_LayerCluster_Phi_perlayer{:02d} Denom_LayerCluster_Phi_perlayer{:02d}".format(i, i%maxlayerzm+1, i, i) for i in range(maxlayerzp) ])
 
postProcessorHGCALlayerclusters= DQMEDHarvester('DQMGenericClient',
    subDirs = cms.untracked.vstring('HGCAL/HGCalValidator/hgcalLayerClusters/'),
    efficiency = cms.vstring(eff_layers),
    resolution = cms.vstring(),
    cumulativeDists = cms.untracked.vstring(),
    noFlowDists = cms.untracked.vstring(),
    outputFileName = cms.untracked.string(""),
    verbose = cms.untracked.uint32(4))
 
eff_multiclusters = ["effic_eta 'MultiCluster Efficiency vs #eta' Num_CaloParticle_Eta Denom_CaloParticle_Eta"]
eff_multiclusters.extend(["effic_phi 'MultiCluster Efficiency vs #phi' Num_CaloParticle_Phi Denom_CaloParticle_Phi"])
eff_multiclusters.extend(["duplicate_eta 'MultiCluster Duplicate(Split) Rate vs #eta' NumDup_MultiCluster_Eta Denom_MultiCluster_Eta"])
eff_multiclusters.extend(["duplicate_phi 'MultiCluster Duplicate(Split) Rate vs #phi' NumDup_MultiCluster_Phi Denom_MultiCluster_Phi"])
eff_multiclusters.extend(["fake_eta 'MultiCluster Fake Rate vs #eta' Num_MultiCluster_Eta Denom_MultiCluster_Eta fake"])
eff_multiclusters.extend(["fake_phi 'MultiCluster Fake Rate vs #phi'  Num_MultiCluster_Phi Denom_MultiCluster_Phi fake"])
eff_multiclusters.extend(["merge_eta 'MultiCluster Merge Rate vs #eta' NumMerge_MultiCluster_Eta Denom_MultiCluster_Eta"])
eff_multiclusters.extend(["merge_phi 'MultiCluster Merge Rate vs #phi' NumMerge_MultiCluster_Phi Denom_MultiCluster_Phi"])
 
postProcessorHGCALmulticlusters = DQMEDHarvester('DQMGenericClient',
subDirs = cms.untracked.vstring(
  'HGCAL/HGCalValidator/hgcalMultiClusters/',
  'HGCAL/HGCalValidator/ticlMultiClustersFromTrackstersTrk/',
  'HGCAL/HGCalValidator/ticlMultiClustersFromTrackstersEM/',
  'HGCAL/HGCalValidator/ticlMultiClustersFromTrackstersHAD/',
  'HGCAL/HGCalValidator/ticlMultiClustersFromTrackstersMerge/',
  ),
 
efficiency = cms.vstring(eff_multiclusters),
resolution = cms.vstring(),
cumulativeDists = cms.untracked.vstring(),
noFlowDists = cms.untracked.vstring(),
outputFileName = cms.untracked.string(""),
verbose = cms.untracked.uint32(4))