File indexing completed on 2024-06-13 03:24:17
0001 import FWCore.ParameterSet.Config as cms
0002 from DQMServices.Core.DQMEDHarvester import DQMEDHarvester
0003 from RecoHGCal.TICL.iterativeTICL_cff import ticlIterLabelsMerge
0004 from Validation.HGCalValidation.HGCalValidator_cfi import hgcalValidator
0005
0006 tracksterLabels = ['ticlTracksters'+iteration for iteration in ticlIterLabelsMerge]
0007 tracksterLabels.extend(['ticlSimTracksters', 'ticlSimTracksters_fromCPs'])
0008
0009 prefix = 'HGCAL/HGCalValidator/'
0010 maxlayerzm = hgcalValidator.totallayers_to_monitor.value()
0011 maxlayerzp = 2 * hgcalValidator.totallayers_to_monitor.value()
0012
0013
0014 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) ]
0015 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) ])
0016 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) ])
0017 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) ])
0018 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) ])
0019 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) ])
0020 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) ])
0021 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) ])
0022
0023 lcToCP_linking = hgcalValidator.label_LCToCPLinking._InputTag__moduleLabel
0024 postProcessorHGCALlayerclusters = DQMEDHarvester('DQMGenericClient',
0025 subDirs = cms.untracked.vstring(prefix + hgcalValidator.label_layerClusterPlots._InputTag__moduleLabel + '/' + lcToCP_linking),
0026 efficiency = cms.vstring(eff_layers),
0027 resolution = cms.vstring(),
0028 cumulativeDists = cms.untracked.vstring(),
0029 noFlowDists = cms.untracked.vstring(),
0030 outputFileName = cms.untracked.string(""),
0031 verbose = cms.untracked.uint32(4))
0032
0033
0034 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) ]
0035 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) ])
0036 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) ])
0037 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) ])
0038 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) ])
0039 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) ])
0040 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) ])
0041 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) ])
0042
0043 subdirsSim = [prefix + hgcalValidator.label_SimClusters._InputTag__moduleLabel + '/'+iteration+'/' for iteration in tracksterLabels]
0044 postProcessorHGCALsimclusters = DQMEDHarvester('DQMGenericClient',
0045 subDirs = cms.untracked.vstring(subdirsSim),
0046 efficiency = cms.vstring(eff_simclusters),
0047 resolution = cms.vstring(),
0048 cumulativeDists = cms.untracked.vstring(),
0049 noFlowDists = cms.untracked.vstring(),
0050 outputFileName = cms.untracked.string(""),
0051 verbose = cms.untracked.uint32(4))
0052
0053
0054 eff_tracksters = []
0055
0056 simDict = {"CaloParticle":"_Link", "SimTrackster":"_PR"}
0057 metrics = {"purity":["Purity","_"], "effic":["Efficiency","Eff_"], "fake":["Fake Rate","_"], "duplicate":["Duplicate(Split)","Dup_"], "merge":["Merge Rate","Merge_"]}
0058 variables = {"eta":["#eta",""], "phi":["#phi",""], "energy":["energy"," [GeV]"], "pt":["p_{T}"," [GeV]"]}
0059 for elem in simDict:
0060 for m in list(metrics.keys())[:2]:
0061 for v in variables:
0062 V = v.capitalize()
0063 eff_tracksters.extend([m+"_"+v+simDict[elem]+" 'Trackster "+metrics[m][0]+" vs "+variables[v][0]+"' Num"+metrics[m][1]+elem+"_"+V+" Denom_"+elem+"_"+V])
0064 for m in list(metrics.keys())[2:]:
0065 fakerate = " fake" if (m == "fake") else ""
0066 for v in variables:
0067 V = v.capitalize()
0068 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])
0069
0070 tsToCP_linking = hgcalValidator.label_TSToCPLinking.value()
0071 subdirsTracksters = [prefix+iteration+'/'+tsToCP_linking for iteration in tracksterLabels]
0072
0073 tsToSTS_patternRec = hgcalValidator.label_TSToSTSPR.value()
0074 subdirsTracksters.extend(prefix+iteration+'/'+tsToSTS_patternRec for iteration in tracksterLabels)
0075
0076 postProcessorHGCALTracksters = DQMEDHarvester('DQMGenericClient',
0077 subDirs = cms.untracked.vstring(subdirsTracksters),
0078 efficiency = cms.vstring(eff_tracksters),
0079 resolution = cms.vstring(),
0080 cumulativeDists = cms.untracked.vstring(),
0081 noFlowDists = cms.untracked.vstring(),
0082 outputFileName = cms.untracked.string(""),
0083 verbose = cms.untracked.uint32(4)
0084 )
0085
0086 neutrals = ["photons", "neutral_pions", "neutral_hadrons"]
0087 charged = ["electrons", "muons", "charged_hadrons"]
0088 subDirsCandidates = [prefix + hgcalValidator.ticlCandidates.value() + "/" + c for cands in (neutrals, charged) for c in cands]
0089 eff_candidates = []
0090
0091 for c in charged:
0092 for var in variables.keys():
0093 eff_candidates.append("eff_"+c+"_track_"+var+" '"+c.replace("_", " ")+" candidates track efficiency vs "+var+"' num_track_cand_vs_"+var+"_"+c+" den_cand_vs_"+var+"_"+c)
0094 eff_candidates.append("eff_"+c+"_pid_"+var+" '"+c.replace("_", " ")+" candidates track + pid efficiency vs "+var+"' num_pid_cand_vs_"+var+"_"+c+" den_cand_vs_"+var+"_"+c)
0095 eff_candidates.append("eff_"+c+"_energy_"+var+" '"+c.replace("_", " ")+" candidates track + pid + energy efficiency vs "+var+"' num_energy_cand_vs_"+var+"_"+c+" den_cand_vs_"+var+"_"+c)
0096 for n in neutrals:
0097 for var in variables.keys():
0098 eff_candidates.append("eff_"+n+"_pid_"+var+" '"+n.replace("_", " ")+" candidates pid efficiency vs "+var+"' num_pid_cand_vs_"+var+"_"+n+" den_cand_vs_"+var+"_"+n)
0099 eff_candidates.append("eff_"+n+"_energy_"+var+" '"+n.replace("_", " ")+" candidates pid + energy efficiency vs "+var+"' num_energy_cand_vs_"+var+"_"+n+" den_cand_vs_"+var+"_"+n)
0100
0101 for c in charged:
0102 for var in variables.keys():
0103 eff_candidates.append("fake_"+c+"_track_"+var+" '"+c.replace("_", " ")+" candidates track fake vs "+var+"' num_fake_track_cand_vs_"+var+"_"+c+" den_fake_cand_vs_"+var+"_"+c)
0104 eff_candidates.append("fake_"+c+"_pid_"+var+" '"+c.replace("_", " ")+" candidates track + pid fake vs "+var+"' num_fake_pid_cand_vs_"+var+"_"+c+" den_fake_cand_vs_"+var+"_"+c)
0105 eff_candidates.append("fake_"+c+"_energy_"+var+" '"+c.replace("_", " ")+" candidates track + pid + energy fake vs "+var+"' num_fake_energy_cand_vs_"+var+"_"+c+" den_fake_cand_vs_"+var+"_"+c)
0106 for n in neutrals:
0107 for var in variables.keys():
0108 eff_candidates.append("fake_"+n+"_pid_"+var+" '"+n.replace("_", " ")+" candidates pid fake vs "+var+"' num_fake_pid_cand_vs_"+var+"_"+n+" den_fake_cand_vs_"+var+"_"+n)
0109 eff_candidates.append("fake_"+n+"_energy_"+var+" '"+n.replace("_", " ")+" candidates pid + energy fake vs "+var+"' num_fake_energy_cand_vs_"+var+"_"+n+" den_fake_cand_vs_"+var+"_"+n)
0110
0111 postProcessorHGCALCandidates = DQMEDHarvester('DQMGenericClient',
0112 subDirs = cms.untracked.vstring(subDirsCandidates),
0113 efficiency = cms.vstring(eff_candidates),
0114 resolution = cms.vstring(),
0115 cumulativeDists = cms.untracked.vstring(),
0116 noFlowDists = cms.untracked.vstring(),
0117 outputFileName = cms.untracked.string(""),
0118 verbose = cms.untracked.uint32(4)
0119 )
