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PostProcessorHGCAL_cfi.py
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1 import FWCore.ParameterSet.Config as cms
2 from DQMServices.Core.DQMEDHarvester import DQMEDHarvester
3 from RecoHGCal.TICL.iterativeTICL_cff import ticlIterLabelsMerge
4 from Validation.HGCalValidation.HGCalValidator_cfi import hgcalValidator
5 
6 tracksterLabels = ['ticlTracksters'+iteration for iteration in ticlIterLabelsMerge]
7 tracksterLabels.extend(['ticlSimTracksters', 'ticlSimTracksters_fromCPs'])
8 
9 prefix = 'HGCAL/HGCalValidator/'
10 maxlayerzm = hgcalValidator.totallayers_to_monitor.value()# last layer of BH -z
11 maxlayerzp = 2 * hgcalValidator.totallayers_to_monitor.value()# last layer of BH +z
12 
13 #hgcalLayerClusters
14 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) ]
15 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) ])
16 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) ])
17 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) ])
18 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) ])
19 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) ])
20 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) ])
21 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) ])
22 
23 lcToCP_linking = hgcalValidator.label_LCToCPLinking._InputTag__moduleLabel
24 postProcessorHGCALlayerclusters = DQMEDHarvester('DQMGenericClient',
25  subDirs = cms.untracked.vstring(prefix + hgcalValidator.label_layerClusterPlots._InputTag__moduleLabel + '/' + lcToCP_linking),
26  efficiency = cms.vstring(eff_layers),
27  resolution = cms.vstring(),
28  cumulativeDists = cms.untracked.vstring(),
29  noFlowDists = cms.untracked.vstring(),
30  outputFileName = cms.untracked.string(""),
31  verbose = cms.untracked.uint32(4))
32 
33 #SimClusters
34 eff_simclusters = ["effic_eta_layer{:02d} 'LayerCluster Efficiency vs #eta Layer{:02d} in z-' Num_SimCluster_Eta_perlayer{:02d} Denom_SimCluster_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_SimCluster_Eta_perlayer{:02d} Denom_SimCluster_Eta_perlayer{:02d}".format(i, i%maxlayerzm+1, i, i) for i in range(maxlayerzp) ]
35 eff_simclusters.extend(["effic_phi_layer{:02d} 'LayerCluster Efficiency vs #phi Layer{:02d} in z-' Num_SimCluster_Phi_perlayer{:02d} Denom_SimCluster_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_SimCluster_Phi_perlayer{:02d} Denom_SimCluster_Phi_perlayer{:02d}".format(i, i%maxlayerzm+1, i, i) for i in range(maxlayerzp) ])
36 eff_simclusters.extend(["duplicate_eta_layer{:02d} 'LayerCluster Duplicate(Split) Rate vs #eta Layer{:02d} in z-' NumDup_SimCluster_Eta_perlayer{:02d} Denom_SimCluster_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_SimCluster_Eta_perlayer{:02d} Denom_SimCluster_Eta_perlayer{:02d}".format(i, i%maxlayerzm+1, i, i) for i in range(maxlayerzp) ])
37 eff_simclusters.extend(["duplicate_phi_layer{:02d} 'LayerCluster Duplicate(Split) Rate vs #phi Layer{:02d} in z-' NumDup_SimCluster_Phi_perlayer{:02d} Denom_SimCluster_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_SimCluster_Phi_perlayer{:02d} Denom_SimCluster_Phi_perlayer{:02d}".format(i, i%maxlayerzm+1, i, i) for i in range(maxlayerzp) ])
38 eff_simclusters.extend(["fake_eta_layer{:02d} 'LayerCluster Fake Rate vs #eta Layer{:02d} in z-' Num_LayerCluster_in_SimCluster_Eta_perlayer{:02d} Denom_LayerCluster_in_SimCluster_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_in_SimCluster_Eta_perlayer{:02d} Denom_LayerCluster_in_SimCluster_Eta_perlayer{:02d} fake".format(i, i%maxlayerzm+1, i, i) for i in range(maxlayerzp) ])
39 eff_simclusters.extend(["fake_phi_layer{:02d} 'LayerCluster Fake Rate vs #phi Layer{:02d} in z-' Num_LayerCluster_in_SimCluster_Phi_perlayer{:02d} Denom_LayerCluster_in_SimCluster_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_in_SimCluster_Phi_perlayer{:02d} Denom_LayerCluster_in_SimCluster_Phi_perlayer{:02d} fake".format(i, i%maxlayerzm+1, i, i) for i in range(maxlayerzp) ])
40 eff_simclusters.extend(["merge_eta_layer{:02d} 'LayerCluster Merge Rate vs #eta Layer{:02d} in z-' NumMerge_LayerCluster_in_SimCluster_Eta_perlayer{:02d} Denom_LayerCluster_in_SimCluster_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_in_SimCluster_Eta_perlayer{:02d} Denom_LayerCluster_in_SimCluster_Eta_perlayer{:02d}".format(i, i%maxlayerzm+1, i, i) for i in range(maxlayerzp) ])
41 eff_simclusters.extend(["merge_phi_layer{:02d} 'LayerCluster Merge Rate vs #phi Layer{:02d} in z-' NumMerge_LayerCluster_in_SimCluster_Phi_perlayer{:02d} Denom_LayerCluster_in_SimCluster_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_in_SimCluster_Phi_perlayer{:02d} Denom_LayerCluster_in_SimCluster_Phi_perlayer{:02d}".format(i, i%maxlayerzm+1, i, i) for i in range(maxlayerzp) ])
42 
43 subdirsSim = [prefix + hgcalValidator.label_SimClusters._InputTag__moduleLabel + '/'+iteration+'/' for iteration in tracksterLabels]
44 postProcessorHGCALsimclusters = DQMEDHarvester('DQMGenericClient',
45  subDirs = cms.untracked.vstring(subdirsSim),
46  efficiency = cms.vstring(eff_simclusters),
47  resolution = cms.vstring(),
48  cumulativeDists = cms.untracked.vstring(),
49  noFlowDists = cms.untracked.vstring(),
50  outputFileName = cms.untracked.string(""),
51  verbose = cms.untracked.uint32(4))
52 
53 
54 eff_tracksters = []
55 # Must be in sync with labels in HGVHistoProducerAlgo.cc
56 simDict = {"CaloParticle":"_Link", "SimTrackster":"_PR"}
57 metrics = {"purity":["Purity","_"], "effic":["Efficiency","Eff_"], "fake":["Fake Rate","_"], "duplicate":["Duplicate(Split)","Dup_"], "merge":["Merge Rate","Merge_"]}
58 variables = {"eta":["#eta",""], "phi":["#phi",""], "energy":["energy"," [GeV]"], "pt":["p_{T}"," [GeV]"]}
59 for elem in simDict:
60  for m in list(metrics.keys())[:2]:
61  for v in variables:
62  V = v.capitalize()
63  eff_tracksters.extend([m+"_"+v+simDict[elem]+" 'Trackster "+metrics[m][0]+" vs "+variables[v][0]+"' Num"+metrics[m][1]+elem+"_"+V+" Denom_"+elem+"_"+V])
64  for m in list(metrics.keys())[2:]:
65  fakerate = " fake" if (m == "fake") else ""
66  for v in variables:
67  V = v.capitalize()
68  eff_tracksters.extend([m+"_"+v+simDict[elem]+" 'Trackster "+metrics[m][0]+" vs "+variables[v][0]+"' Num"+metrics[m][1]+"Trackster_"+V+simDict[elem]+" Denom_Trackster_"+V+simDict[elem]+fakerate])
69 
70 tsToCP_linking = hgcalValidator.label_TSToCPLinking.value()
71 subdirsTracksters = [prefix+iteration+'/'+tsToCP_linking for iteration in tracksterLabels]
72 
73 tsToSTS_patternRec = hgcalValidator.label_TSToSTSPR.value()
74 subdirsTracksters.extend(prefix+iteration+'/'+tsToSTS_patternRec for iteration in tracksterLabels)
75 
76 postProcessorHGCALTracksters = DQMEDHarvester('DQMGenericClient',
77  subDirs = cms.untracked.vstring(subdirsTracksters),
78  efficiency = cms.vstring(eff_tracksters),
79  resolution = cms.vstring(),
80  cumulativeDists = cms.untracked.vstring(),
81  noFlowDists = cms.untracked.vstring(),
82  outputFileName = cms.untracked.string(""),
83  verbose = cms.untracked.uint32(4)
84 )
HGCalValidator_cfi
iterativeTICL_cff
FastTimerService_cff.range
range
Definition: FastTimerService_cff.py:34
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