1 import FWCore.ParameterSet.Config
as cms
2 from DQMServices.Core.DQMEDHarvester
import DQMEDHarvester
7 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) ]
8 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) ])
9 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) ])
10 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) ])
11 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) ])
12 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) ])
13 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) ])
14 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) ])
17 subDirs = cms.untracked.vstring(
'HGCAL/HGCalValidator/hgcalLayerClusters/'),
18 efficiency = cms.vstring(eff_layers),
19 resolution = cms.vstring(),
20 cumulativeDists = cms.untracked.vstring(),
21 noFlowDists = cms.untracked.vstring(),
22 outputFileName = cms.untracked.string(
""),
23 verbose = cms.untracked.uint32(4))