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File indexing completed on 2025-01-09 23:34:08

0001 #include <numeric>
0002 #include <iomanip>
0003 #include <sstream>
0004 
0005 #include "Validation/HGCalValidation/interface/HGVHistoProducerAlgo.h"
0006 #include "FWCore/MessageLogger/interface/MessageLogger.h"
0007 #include "SimDataFormats/CaloAnalysis/interface/SimCluster.h"
0008 #include "TMath.h"
0009 #include "TLatex.h"
0010 #include "TF1.h"
0011 
0012 using namespace std;
0013 
0014 //Parameters for the score cut. Later, this will become part of the
0015 //configuration parameter for the HGCAL associator.
0016 const double ScoreCutLCtoCP_ = 0.1;
0017 const double ScoreCutCPtoLC_ = 0.1;
0018 const double ScoreCutLCtoSC_ = 0.1;
0019 const double ScoreCutSCtoLC_ = 0.1;
0020 const double ScoreCutTStoSTSFakeMerge_[] = {0.6, FLT_MIN};  //1.e-09
0021 const double ScoreCutSTStoTSPurDup_[] = {0.2, FLT_MIN};     //1.e-11
0022 
0023 HGVHistoProducerAlgo::HGVHistoProducerAlgo(const edm::ParameterSet& pset)
0024     :  //parameters for eta
0025       minEta_(pset.getParameter<double>("minEta")),
0026       maxEta_(pset.getParameter<double>("maxEta")),
0027       nintEta_(pset.getParameter<int>("nintEta")),
0028       useFabsEta_(pset.getParameter<bool>("useFabsEta")),
0029 
0030       //parameters for energy
0031       minEne_(pset.getParameter<double>("minEne")),
0032       maxEne_(pset.getParameter<double>("maxEne")),
0033       nintEne_(pset.getParameter<int>("nintEne")),
0034 
0035       //parameters for pt
0036       minPt_(pset.getParameter<double>("minPt")),
0037       maxPt_(pset.getParameter<double>("maxPt")),
0038       nintPt_(pset.getParameter<int>("nintPt")),
0039 
0040       //parameters for phi
0041       minPhi_(pset.getParameter<double>("minPhi")),
0042       maxPhi_(pset.getParameter<double>("maxPhi")),
0043       nintPhi_(pset.getParameter<int>("nintPhi")),
0044 
0045       //parameters for counting mixed hits SimClusters
0046       minMixedHitsSimCluster_(pset.getParameter<double>("minMixedHitsSimCluster")),
0047       maxMixedHitsSimCluster_(pset.getParameter<double>("maxMixedHitsSimCluster")),
0048       nintMixedHitsSimCluster_(pset.getParameter<int>("nintMixedHitsSimCluster")),
0049 
0050       //parameters for counting mixed hits clusters
0051       minMixedHitsCluster_(pset.getParameter<double>("minMixedHitsCluster")),
0052       maxMixedHitsCluster_(pset.getParameter<double>("maxMixedHitsCluster")),
0053       nintMixedHitsCluster_(pset.getParameter<int>("nintMixedHitsCluster")),
0054 
0055       //parameters for the total amount of energy clustered by all layer clusters (fraction over CaloParticless)
0056       minEneCl_(pset.getParameter<double>("minEneCl")),
0057       maxEneCl_(pset.getParameter<double>("maxEneCl")),
0058       nintEneCl_(pset.getParameter<int>("nintEneCl")),
0059 
0060       //parameters for the longitudinal depth barycenter.
0061       minLongDepBary_(pset.getParameter<double>("minLongDepBary")),
0062       maxLongDepBary_(pset.getParameter<double>("maxLongDepBary")),
0063       nintLongDepBary_(pset.getParameter<int>("nintLongDepBary")),
0064 
0065       //parameters for z positionof vertex plots
0066       minZpos_(pset.getParameter<double>("minZpos")),
0067       maxZpos_(pset.getParameter<double>("maxZpos")),
0068       nintZpos_(pset.getParameter<int>("nintZpos")),
0069 
0070       //Parameters for the total number of SimClusters per layer
0071       minTotNsimClsperlay_(pset.getParameter<double>("minTotNsimClsperlay")),
0072       maxTotNsimClsperlay_(pset.getParameter<double>("maxTotNsimClsperlay")),
0073       nintTotNsimClsperlay_(pset.getParameter<int>("nintTotNsimClsperlay")),
0074 
0075       //Parameters for the total number of layer clusters per layer
0076       minTotNClsperlay_(pset.getParameter<double>("minTotNClsperlay")),
0077       maxTotNClsperlay_(pset.getParameter<double>("maxTotNClsperlay")),
0078       nintTotNClsperlay_(pset.getParameter<int>("nintTotNClsperlay")),
0079 
0080       //Parameters for the energy clustered by layer clusters per layer (fraction over CaloParticless)
0081       minEneClperlay_(pset.getParameter<double>("minEneClperlay")),
0082       maxEneClperlay_(pset.getParameter<double>("maxEneClperlay")),
0083       nintEneClperlay_(pset.getParameter<int>("nintEneClperlay")),
0084 
0085       //Parameters for the score both for:
0086       //1. calo particle to layer clusters association per layer
0087       //2. layer cluster to calo particles association per layer
0088       minScore_(pset.getParameter<double>("minScore")),
0089       maxScore_(pset.getParameter<double>("maxScore")),
0090       nintScore_(pset.getParameter<int>("nintScore")),
0091 
0092       //Parameters for shared energy fraction. That is:
0093       //1. Fraction of each of the layer clusters energy related to a
0094       //calo particle over that calo particle's energy.
0095       //2. Fraction of each of the calo particles energy
0096       //related to a layer cluster over that layer cluster's energy.
0097       minSharedEneFrac_(pset.getParameter<double>("minSharedEneFrac")),
0098       maxSharedEneFrac_(pset.getParameter<double>("maxSharedEneFrac")),
0099       nintSharedEneFrac_(pset.getParameter<int>("nintSharedEneFrac")),
0100       minTSTSharedEneFracEfficiency_(pset.getParameter<double>("minTSTSharedEneFracEfficiency")),
0101 
0102       //Same as above for Tracksters
0103       minTSTSharedEneFrac_(pset.getParameter<double>("minTSTSharedEneFrac")),
0104       maxTSTSharedEneFrac_(pset.getParameter<double>("maxTSTSharedEneFrac")),
0105       nintTSTSharedEneFrac_(pset.getParameter<int>("nintTSTSharedEneFrac")),
0106 
0107       //Parameters for the total number of SimClusters per thickness
0108       minTotNsimClsperthick_(pset.getParameter<double>("minTotNsimClsperthick")),
0109       maxTotNsimClsperthick_(pset.getParameter<double>("maxTotNsimClsperthick")),
0110       nintTotNsimClsperthick_(pset.getParameter<int>("nintTotNsimClsperthick")),
0111 
0112       //Parameters for the total number of layer clusters per thickness
0113       minTotNClsperthick_(pset.getParameter<double>("minTotNClsperthick")),
0114       maxTotNClsperthick_(pset.getParameter<double>("maxTotNClsperthick")),
0115       nintTotNClsperthick_(pset.getParameter<int>("nintTotNClsperthick")),
0116 
0117       //Parameters for the total number of cells per per thickness per layer
0118       minTotNcellsperthickperlayer_(pset.getParameter<double>("minTotNcellsperthickperlayer")),
0119       maxTotNcellsperthickperlayer_(pset.getParameter<double>("maxTotNcellsperthickperlayer")),
0120       nintTotNcellsperthickperlayer_(pset.getParameter<int>("nintTotNcellsperthickperlayer")),
0121 
0122       //Parameters for the distance of cluster cells to seed cell per thickness per layer
0123       minDisToSeedperthickperlayer_(pset.getParameter<double>("minDisToSeedperthickperlayer")),
0124       maxDisToSeedperthickperlayer_(pset.getParameter<double>("maxDisToSeedperthickperlayer")),
0125       nintDisToSeedperthickperlayer_(pset.getParameter<int>("nintDisToSeedperthickperlayer")),
0126 
0127       //Parameters for the energy weighted distance of cluster cells to seed cell per thickness per layer
0128       minDisToSeedperthickperlayerenewei_(pset.getParameter<double>("minDisToSeedperthickperlayerenewei")),
0129       maxDisToSeedperthickperlayerenewei_(pset.getParameter<double>("maxDisToSeedperthickperlayerenewei")),
0130       nintDisToSeedperthickperlayerenewei_(pset.getParameter<int>("nintDisToSeedperthickperlayerenewei")),
0131 
0132       //Parameters for the distance of cluster cells to max cell per thickness per layer
0133       minDisToMaxperthickperlayer_(pset.getParameter<double>("minDisToMaxperthickperlayer")),
0134       maxDisToMaxperthickperlayer_(pset.getParameter<double>("maxDisToMaxperthickperlayer")),
0135       nintDisToMaxperthickperlayer_(pset.getParameter<int>("nintDisToMaxperthickperlayer")),
0136 
0137       //Parameters for the energy weighted distance of cluster cells to max cell per thickness per layer
0138       minDisToMaxperthickperlayerenewei_(pset.getParameter<double>("minDisToMaxperthickperlayerenewei")),
0139       maxDisToMaxperthickperlayerenewei_(pset.getParameter<double>("maxDisToMaxperthickperlayerenewei")),
0140       nintDisToMaxperthickperlayerenewei_(pset.getParameter<int>("nintDisToMaxperthickperlayerenewei")),
0141 
0142       //Parameters for the distance of seed cell to max cell per thickness per layer
0143       minDisSeedToMaxperthickperlayer_(pset.getParameter<double>("minDisSeedToMaxperthickperlayer")),
0144       maxDisSeedToMaxperthickperlayer_(pset.getParameter<double>("maxDisSeedToMaxperthickperlayer")),
0145       nintDisSeedToMaxperthickperlayer_(pset.getParameter<int>("nintDisSeedToMaxperthickperlayer")),
0146 
0147       //Parameters for the energy of a cluster per thickness per layer
0148       minClEneperthickperlayer_(pset.getParameter<double>("minClEneperthickperlayer")),
0149       maxClEneperthickperlayer_(pset.getParameter<double>("maxClEneperthickperlayer")),
0150       nintClEneperthickperlayer_(pset.getParameter<int>("nintClEneperthickperlayer")),
0151 
0152       //Parameters for the energy density of cluster cells per thickness
0153       minCellsEneDensperthick_(pset.getParameter<double>("minCellsEneDensperthick")),
0154       maxCellsEneDensperthick_(pset.getParameter<double>("maxCellsEneDensperthick")),
0155       nintCellsEneDensperthick_(pset.getParameter<int>("nintCellsEneDensperthick")),
0156 
0157       //Parameters for the total number of Tracksters per event
0158       // Always treat one event as two events, one in +z one in -z
0159       minTotNTSTs_(pset.getParameter<double>("minTotNTSTs")),
0160       maxTotNTSTs_(pset.getParameter<double>("maxTotNTSTs")),
0161       nintTotNTSTs_(pset.getParameter<int>("nintTotNTSTs")),
0162 
0163       //Parameters for the total number of layer clusters in Trackster
0164       minTotNClsinTSTs_(pset.getParameter<double>("minTotNClsinTSTs")),
0165       maxTotNClsinTSTs_(pset.getParameter<double>("maxTotNClsinTSTs")),
0166       nintTotNClsinTSTs_(pset.getParameter<int>("nintTotNClsinTSTs")),
0167 
0168       //Parameters for the total number of layer clusters in Trackster per layer
0169       minTotNClsinTSTsperlayer_(pset.getParameter<double>("minTotNClsinTSTsperlayer")),
0170       maxTotNClsinTSTsperlayer_(pset.getParameter<double>("maxTotNClsinTSTsperlayer")),
0171       nintTotNClsinTSTsperlayer_(pset.getParameter<int>("nintTotNClsinTSTsperlayer")),
0172 
0173       //Parameters for the multiplicity of layer clusters in Trackster
0174       minMplofLCs_(pset.getParameter<double>("minMplofLCs")),
0175       maxMplofLCs_(pset.getParameter<double>("maxMplofLCs")),
0176       nintMplofLCs_(pset.getParameter<int>("nintMplofLCs")),
0177 
0178       //Parameters for cluster size
0179       minSizeCLsinTSTs_(pset.getParameter<double>("minSizeCLsinTSTs")),
0180       maxSizeCLsinTSTs_(pset.getParameter<double>("maxSizeCLsinTSTs")),
0181       nintSizeCLsinTSTs_(pset.getParameter<int>("nintSizeCLsinTSTs")),
0182 
0183       //Parameters for the energy of a cluster per thickness per layer
0184       minClEnepermultiplicity_(pset.getParameter<double>("minClEnepermultiplicity")),
0185       maxClEnepermultiplicity_(pset.getParameter<double>("maxClEnepermultiplicity")),
0186       nintClEnepermultiplicity_(pset.getParameter<int>("nintClEnepermultiplicity")),
0187 
0188       //parameters for x
0189       minX_(pset.getParameter<double>("minX")),
0190       maxX_(pset.getParameter<double>("maxX")),
0191       nintX_(pset.getParameter<int>("nintX")),
0192 
0193       //parameters for y
0194       minY_(pset.getParameter<double>("minY")),
0195       maxY_(pset.getParameter<double>("maxY")),
0196       nintY_(pset.getParameter<int>("nintY")),
0197 
0198       //parameters for z
0199       minZ_(pset.getParameter<double>("minZ")),
0200       maxZ_(pset.getParameter<double>("maxZ")),
0201       nintZ_(pset.getParameter<int>("nintZ")) {}
0202 
0203 HGVHistoProducerAlgo::~HGVHistoProducerAlgo() {}
0204 
0205 void HGVHistoProducerAlgo::bookInfo(DQMStore::IBooker& ibook, Histograms& histograms) {
0206   histograms.lastLayerEEzm = ibook.bookInt("lastLayerEEzm");
0207   histograms.lastLayerFHzm = ibook.bookInt("lastLayerFHzm");
0208   histograms.maxlayerzm = ibook.bookInt("maxlayerzm");
0209   histograms.lastLayerEEzp = ibook.bookInt("lastLayerEEzp");
0210   histograms.lastLayerFHzp = ibook.bookInt("lastLayerFHzp");
0211   histograms.maxlayerzp = ibook.bookInt("maxlayerzp");
0212 }
0213 
0214 void HGVHistoProducerAlgo::bookCaloParticleHistos(DQMStore::IBooker& ibook,
0215                                                   Histograms& histograms,
0216                                                   int pdgid,
0217                                                   unsigned int layers) {
0218   histograms.h_caloparticle_eta[pdgid] =
0219       ibook.book1D("N of caloparticle vs eta", "N of caloParticles vs eta", nintEta_, minEta_, maxEta_);
0220   histograms.h_caloparticle_eta_Zorigin[pdgid] =
0221       ibook.book2D("Eta vs Zorigin", "Eta vs Zorigin", nintEta_, minEta_, maxEta_, nintZpos_, minZpos_, maxZpos_);
0222 
0223   histograms.h_caloparticle_energy[pdgid] =
0224       ibook.book1D("Energy", "Energy of CaloParticles; Energy [GeV]", nintEne_, minEne_, maxEne_);
0225   histograms.h_caloparticle_pt[pdgid] = ibook.book1D("Pt", "Pt of CaloParticles", nintPt_, minPt_, maxPt_);
0226   histograms.h_caloparticle_phi[pdgid] = ibook.book1D("Phi", "Phi of CaloParticles", nintPhi_, minPhi_, maxPhi_);
0227   histograms.h_caloparticle_selfenergy[pdgid] =
0228       ibook.book1D("SelfEnergy", "Total Energy of Hits in Sim Clusters (matched)", nintEne_, minEne_, maxEne_);
0229   histograms.h_caloparticle_energyDifference[pdgid] =
0230       ibook.book1D("EnergyDifference", "(Energy-SelfEnergy)/Energy", 300., -5., 1.);
0231 
0232   histograms.h_caloparticle_nSimClusters[pdgid] =
0233       ibook.book1D("Num Sim Clusters", "Num Sim Clusters in CaloParticles", 100, 0., 100.);
0234   histograms.h_caloparticle_nHitsInSimClusters[pdgid] =
0235       ibook.book1D("Num Hits in Sim Clusters", "Num Hits in Sim Clusters in CaloParticles", 1000, 0., 1000.);
0236   histograms.h_caloparticle_nHitsInSimClusters_matchedtoRecHit[pdgid] = ibook.book1D(
0237       "Num Rec-matched Hits in Sim Clusters", "Num Hits in Sim Clusters (matched) in CaloParticles", 1000, 0., 1000.);
0238 
0239   histograms.h_caloparticle_nHits_matched_energy[pdgid] =
0240       ibook.book1D("Energy of Rec-matched Hits", "Energy of Hits in Sim Clusters (matched)", 100, 0., 10.);
0241   histograms.h_caloparticle_nHits_matched_energy_layer[pdgid] =
0242       ibook.book2D("Energy of Rec-matched Hits vs layer",
0243                    "Energy of Hits in Sim Clusters (matched) vs layer",
0244                    2 * layers,
0245                    0.,
0246                    (float)2 * layers,
0247                    100,
0248                    0.,
0249                    10.);
0250   histograms.h_caloparticle_nHits_matched_energy_layer_1SimCl[pdgid] =
0251       ibook.book2D("Energy of Rec-matched Hits vs layer (1SC)",
0252                    "Energy of Hits only 1 Sim Clusters (matched) vs layer",
0253                    2 * layers,
0254                    0.,
0255                    (float)2 * layers,
0256                    100,
0257                    0.,
0258                    10.);
0259   histograms.h_caloparticle_sum_energy_layer[pdgid] =
0260       ibook.book2D("Rec-matched Hits Sum Energy vs layer",
0261                    "Rescaled Sum Energy of Hits in Sim Clusters (matched) vs layer",
0262                    2 * layers,
0263                    0.,
0264                    (float)2 * layers,
0265                    110,
0266                    0.,
0267                    110.);
0268   histograms.h_caloparticle_fractions[pdgid] =
0269       ibook.book2D("HitFractions", "Hit fractions;Hit fraction;E_{hit}^{2} fraction", 101, 0, 1.01, 100, 0, 1);
0270   histograms.h_caloparticle_fractions_weight[pdgid] = ibook.book2D(
0271       "HitFractions_weighted", "Hit fractions weighted;Hit fraction;E_{hit}^{2} fraction", 101, 0, 1.01, 100, 0, 1);
0272 
0273   histograms.h_caloparticle_firstlayer[pdgid] =
0274       ibook.book1D("First Layer", "First layer of the CaloParticles", 2 * layers, 0., (float)2 * layers);
0275   histograms.h_caloparticle_lastlayer[pdgid] =
0276       ibook.book1D("Last Layer", "Last layer of the CaloParticles", 2 * layers, 0., (float)2 * layers);
0277   histograms.h_caloparticle_layersnum[pdgid] =
0278       ibook.book1D("Number of Layers", "Number of layers of the CaloParticles", 2 * layers, 0., (float)2 * layers);
0279   histograms.h_caloparticle_firstlayer_matchedtoRecHit[pdgid] = ibook.book1D(
0280       "First Layer (rec-matched hit)", "First layer of the CaloParticles (matched)", 2 * layers, 0., (float)2 * layers);
0281   histograms.h_caloparticle_lastlayer_matchedtoRecHit[pdgid] = ibook.book1D(
0282       "Last Layer (rec-matched hit)", "Last layer of the CaloParticles (matched)", 2 * layers, 0., (float)2 * layers);
0283   histograms.h_caloparticle_layersnum_matchedtoRecHit[pdgid] =
0284       ibook.book1D("Number of Layers (rec-matched hit)",
0285                    "Number of layers of the CaloParticles (matched)",
0286                    2 * layers,
0287                    0.,
0288                    (float)2 * layers);
0289 }
0290 
0291 void HGVHistoProducerAlgo::bookSimClusterHistos(DQMStore::IBooker& ibook,
0292                                                 Histograms& histograms,
0293                                                 unsigned int layers,
0294                                                 std::vector<int> thicknesses) {
0295   //---------------------------------------------------------------------------------------------------------------------------
0296   for (unsigned ilayer = 0; ilayer < 2 * layers; ++ilayer) {
0297     auto istr1 = std::to_string(ilayer);
0298     while (istr1.size() < 2) {
0299       istr1.insert(0, "0");
0300     }
0301     // Make a mapping to the regural layer naming plus z- or z+ for convenience
0302     std::string istr2 = "";
0303     // first with the -z endcap
0304     if (ilayer < layers) {
0305       istr2 = std::to_string(ilayer + 1) + " in z-";
0306     } else {  // then for the +z
0307       istr2 = std::to_string(ilayer - (layers - 1)) + " in z+";
0308     }
0309     histograms.h_simclusternum_perlayer[ilayer] = ibook.book1D("totsimclusternum_layer_" + istr1,
0310                                                                "total number of SimClusters for layer " + istr2,
0311                                                                nintTotNsimClsperlay_,
0312                                                                minTotNsimClsperlay_,
0313                                                                maxTotNsimClsperlay_);
0314 
0315   }  //end of loop over layers
0316   //---------------------------------------------------------------------------------------------------------------------------
0317   for (std::vector<int>::iterator it = thicknesses.begin(); it != thicknesses.end(); ++it) {
0318     auto istr = std::to_string(*it);
0319     histograms.h_simclusternum_perthick[(*it)] = ibook.book1D("totsimclusternum_thick_" + istr,
0320                                                               "total number of simclusters for thickness " + istr,
0321                                                               nintTotNsimClsperthick_,
0322                                                               minTotNsimClsperthick_,
0323                                                               maxTotNsimClsperthick_);
0324   }  //end of loop over thicknesses
0325 
0326   //---------------------------------------------------------------------------------------------------------------------------
0327   //z-
0328   histograms.h_mixedhitssimcluster_zminus =
0329       ibook.book1D("mixedhitssimcluster_zminus",
0330                    "N of simclusters that contain hits of more than one kind in z-",
0331                    nintMixedHitsSimCluster_,
0332                    minMixedHitsSimCluster_,
0333                    maxMixedHitsSimCluster_);
0334   //z+
0335   histograms.h_mixedhitssimcluster_zplus =
0336       ibook.book1D("mixedhitssimcluster_zplus",
0337                    "N of simclusters that contain hits of more than one kind in z+",
0338                    nintMixedHitsSimCluster_,
0339                    minMixedHitsSimCluster_,
0340                    maxMixedHitsSimCluster_);
0341 }
0342 
0343 void HGVHistoProducerAlgo::bookSimClusterAssociationHistos(DQMStore::IBooker& ibook,
0344                                                            Histograms& histograms,
0345                                                            unsigned int layers,
0346                                                            std::vector<int> thicknesses) {
0347   std::unordered_map<int, dqm::reco::MonitorElement*> denom_layercl_in_simcl_eta_perlayer;
0348   denom_layercl_in_simcl_eta_perlayer.clear();
0349   std::unordered_map<int, dqm::reco::MonitorElement*> denom_layercl_in_simcl_phi_perlayer;
0350   denom_layercl_in_simcl_phi_perlayer.clear();
0351   std::unordered_map<int, dqm::reco::MonitorElement*> score_layercl2simcluster_perlayer;
0352   score_layercl2simcluster_perlayer.clear();
0353   std::unordered_map<int, dqm::reco::MonitorElement*> sharedenergy_layercl2simcluster_perlayer;
0354   sharedenergy_layercl2simcluster_perlayer.clear();
0355   std::unordered_map<int, dqm::reco::MonitorElement*> energy_vs_score_layercl2simcluster_perlayer;
0356   energy_vs_score_layercl2simcluster_perlayer.clear();
0357   std::unordered_map<int, dqm::reco::MonitorElement*> num_layercl_in_simcl_eta_perlayer;
0358   num_layercl_in_simcl_eta_perlayer.clear();
0359   std::unordered_map<int, dqm::reco::MonitorElement*> num_layercl_in_simcl_phi_perlayer;
0360   num_layercl_in_simcl_phi_perlayer.clear();
0361   std::unordered_map<int, dqm::reco::MonitorElement*> numMerge_layercl_in_simcl_eta_perlayer;
0362   numMerge_layercl_in_simcl_eta_perlayer.clear();
0363   std::unordered_map<int, dqm::reco::MonitorElement*> numMerge_layercl_in_simcl_phi_perlayer;
0364   numMerge_layercl_in_simcl_phi_perlayer.clear();
0365   std::unordered_map<int, dqm::reco::MonitorElement*> sharedenergy_layercl2simcluster_vs_eta_perlayer;
0366   sharedenergy_layercl2simcluster_vs_eta_perlayer.clear();
0367   std::unordered_map<int, dqm::reco::MonitorElement*> sharedenergy_layercl2simcluster_vs_phi_perlayer;
0368   sharedenergy_layercl2simcluster_vs_phi_perlayer.clear();
0369   std::unordered_map<int, dqm::reco::MonitorElement*> denom_simcluster_eta_perlayer;
0370   denom_simcluster_eta_perlayer.clear();
0371   std::unordered_map<int, dqm::reco::MonitorElement*> denom_simcluster_phi_perlayer;
0372   denom_simcluster_phi_perlayer.clear();
0373   std::unordered_map<int, dqm::reco::MonitorElement*> score_simcluster2layercl_perlayer;
0374   score_simcluster2layercl_perlayer.clear();
0375   std::unordered_map<int, dqm::reco::MonitorElement*> sharedenergy_simcluster2layercl_perlayer;
0376   sharedenergy_simcluster2layercl_perlayer.clear();
0377   std::unordered_map<int, dqm::reco::MonitorElement*> energy_vs_score_simcluster2layercl_perlayer;
0378   energy_vs_score_simcluster2layercl_perlayer.clear();
0379   std::unordered_map<int, dqm::reco::MonitorElement*> num_simcluster_eta_perlayer;
0380   num_simcluster_eta_perlayer.clear();
0381   std::unordered_map<int, dqm::reco::MonitorElement*> num_simcluster_phi_perlayer;
0382   num_simcluster_phi_perlayer.clear();
0383   std::unordered_map<int, dqm::reco::MonitorElement*> numDup_simcluster_eta_perlayer;
0384   numDup_simcluster_eta_perlayer.clear();
0385   std::unordered_map<int, dqm::reco::MonitorElement*> numDup_simcluster_phi_perlayer;
0386   numDup_simcluster_phi_perlayer.clear();
0387   std::unordered_map<int, dqm::reco::MonitorElement*> sharedenergy_simcluster2layercl_vs_eta_perlayer;
0388   sharedenergy_simcluster2layercl_vs_eta_perlayer.clear();
0389   std::unordered_map<int, dqm::reco::MonitorElement*> sharedenergy_simcluster2layercl_vs_phi_perlayer;
0390   sharedenergy_simcluster2layercl_vs_phi_perlayer.clear();
0391 
0392   //---------------------------------------------------------------------------------------------------------------------------
0393   for (unsigned ilayer = 0; ilayer < 2 * layers; ++ilayer) {
0394     auto istr1 = std::to_string(ilayer);
0395     while (istr1.size() < 2) {
0396       istr1.insert(0, "0");
0397     }
0398     // Make a mapping to the regural layer naming plus z- or z+ for convenience
0399     std::string istr2 = "";
0400     // first with the -z endcap
0401     if (ilayer < layers) {
0402       istr2 = std::to_string(ilayer + 1) + " in z-";
0403     } else {  // then for the +z
0404       istr2 = std::to_string(ilayer - (layers - 1)) + " in z+";
0405     }
0406     //-------------------------------------------------------------------------------------------------------------------------
0407     denom_layercl_in_simcl_eta_perlayer[ilayer] =
0408         ibook.book1D("Denom_LayerCluster_in_SimCluster_Eta_perlayer" + istr1,
0409                      "Denom LayerCluster in SimCluster Eta per Layer Cluster for layer " + istr2,
0410                      nintEta_,
0411                      minEta_,
0412                      maxEta_);
0413     //-------------------------------------------------------------------------------------------------------------------------
0414     denom_layercl_in_simcl_phi_perlayer[ilayer] =
0415         ibook.book1D("Denom_LayerCluster_in_SimCluster_Phi_perlayer" + istr1,
0416                      "Denom LayerCluster in SimCluster Phi per Layer Cluster for layer " + istr2,
0417                      nintPhi_,
0418                      minPhi_,
0419                      maxPhi_);
0420     //-------------------------------------------------------------------------------------------------------------------------
0421     score_layercl2simcluster_perlayer[ilayer] = ibook.book1D("Score_layercl2simcluster_perlayer" + istr1,
0422                                                              "Score of Layer Cluster per SimCluster for layer " + istr2,
0423                                                              nintScore_,
0424                                                              minScore_,
0425                                                              maxScore_);
0426     //-------------------------------------------------------------------------------------------------------------------------
0427     score_simcluster2layercl_perlayer[ilayer] = ibook.book1D("Score_simcluster2layercl_perlayer" + istr1,
0428                                                              "Score of SimCluster per Layer Cluster for layer " + istr2,
0429                                                              nintScore_,
0430                                                              minScore_,
0431                                                              maxScore_);
0432     //-------------------------------------------------------------------------------------------------------------------------
0433     energy_vs_score_simcluster2layercl_perlayer[ilayer] =
0434         ibook.book2D("Energy_vs_Score_simcluster2layer_perlayer" + istr1,
0435                      "Energy vs Score of SimCluster per Layer Cluster for layer " + istr2,
0436                      nintScore_,
0437                      minScore_,
0438                      maxScore_,
0439                      nintSharedEneFrac_,
0440                      minSharedEneFrac_,
0441                      maxSharedEneFrac_);
0442     //-------------------------------------------------------------------------------------------------------------------------
0443     energy_vs_score_layercl2simcluster_perlayer[ilayer] =
0444         ibook.book2D("Energy_vs_Score_layer2simcluster_perlayer" + istr1,
0445                      "Energy vs Score of Layer Cluster per SimCluster for layer " + istr2,
0446                      nintScore_,
0447                      minScore_,
0448                      maxScore_,
0449                      nintSharedEneFrac_,
0450                      minSharedEneFrac_,
0451                      maxSharedEneFrac_);
0452     //-------------------------------------------------------------------------------------------------------------------------
0453     sharedenergy_simcluster2layercl_perlayer[ilayer] =
0454         ibook.book1D("SharedEnergy_simcluster2layercl_perlayer" + istr1,
0455                      "Shared Energy of SimCluster per Layer Cluster for layer " + istr2,
0456                      nintSharedEneFrac_,
0457                      minSharedEneFrac_,
0458                      maxSharedEneFrac_);
0459     //-------------------------------------------------------------------------------------------------------------------------
0460     sharedenergy_simcluster2layercl_vs_eta_perlayer[ilayer] =
0461         ibook.bookProfile("SharedEnergy_simcluster2layercl_vs_eta_perlayer" + istr1,
0462                           "Shared Energy of SimCluster vs #eta per best Layer Cluster for layer " + istr2,
0463                           nintEta_,
0464                           minEta_,
0465                           maxEta_,
0466                           minSharedEneFrac_,
0467                           maxSharedEneFrac_);
0468     //-------------------------------------------------------------------------------------------------------------------------
0469     sharedenergy_simcluster2layercl_vs_phi_perlayer[ilayer] =
0470         ibook.bookProfile("SharedEnergy_simcluster2layercl_vs_phi_perlayer" + istr1,
0471                           "Shared Energy of SimCluster vs #phi per best Layer Cluster for layer " + istr2,
0472                           nintPhi_,
0473                           minPhi_,
0474                           maxPhi_,
0475                           minSharedEneFrac_,
0476                           maxSharedEneFrac_);
0477     //-------------------------------------------------------------------------------------------------------------------------
0478     sharedenergy_layercl2simcluster_perlayer[ilayer] =
0479         ibook.book1D("SharedEnergy_layercluster2simcluster_perlayer" + istr1,
0480                      "Shared Energy of Layer Cluster per SimCluster for layer " + istr2,
0481                      nintSharedEneFrac_,
0482                      minSharedEneFrac_,
0483                      maxSharedEneFrac_);
0484     //-------------------------------------------------------------------------------------------------------------------------
0485     sharedenergy_layercl2simcluster_vs_eta_perlayer[ilayer] =
0486         ibook.bookProfile("SharedEnergy_layercl2simcluster_vs_eta_perlayer" + istr1,
0487                           "Shared Energy of LayerCluster vs #eta per best SimCluster for layer " + istr2,
0488                           nintEta_,
0489                           minEta_,
0490                           maxEta_,
0491                           minSharedEneFrac_,
0492                           maxSharedEneFrac_);
0493     //-------------------------------------------------------------------------------------------------------------------------
0494     sharedenergy_layercl2simcluster_vs_phi_perlayer[ilayer] =
0495         ibook.bookProfile("SharedEnergy_layercl2simcluster_vs_phi_perlayer" + istr1,
0496                           "Shared Energy of LayerCluster vs #phi per best SimCluster for layer " + istr2,
0497                           nintPhi_,
0498                           minPhi_,
0499                           maxPhi_,
0500                           minSharedEneFrac_,
0501                           maxSharedEneFrac_);
0502     //-------------------------------------------------------------------------------------------------------------------------
0503     num_simcluster_eta_perlayer[ilayer] = ibook.book1D("Num_SimCluster_Eta_perlayer" + istr1,
0504                                                        "Num SimCluster Eta per Layer Cluster for layer " + istr2,
0505                                                        nintEta_,
0506                                                        minEta_,
0507                                                        maxEta_);
0508     //-------------------------------------------------------------------------------------------------------------------------
0509     numDup_simcluster_eta_perlayer[ilayer] =
0510         ibook.book1D("NumDup_SimCluster_Eta_perlayer" + istr1,
0511                      "Num Duplicate SimCluster Eta per Layer Cluster for layer " + istr2,
0512                      nintEta_,
0513                      minEta_,
0514                      maxEta_);
0515     //-------------------------------------------------------------------------------------------------------------------------
0516     denom_simcluster_eta_perlayer[ilayer] = ibook.book1D("Denom_SimCluster_Eta_perlayer" + istr1,
0517                                                          "Denom SimCluster Eta per Layer Cluster for layer " + istr2,
0518                                                          nintEta_,
0519                                                          minEta_,
0520                                                          maxEta_);
0521     //-------------------------------------------------------------------------------------------------------------------------
0522     num_simcluster_phi_perlayer[ilayer] = ibook.book1D("Num_SimCluster_Phi_perlayer" + istr1,
0523                                                        "Num SimCluster Phi per Layer Cluster for layer " + istr2,
0524                                                        nintPhi_,
0525                                                        minPhi_,
0526                                                        maxPhi_);
0527     //-------------------------------------------------------------------------------------------------------------------------
0528     numDup_simcluster_phi_perlayer[ilayer] =
0529         ibook.book1D("NumDup_SimCluster_Phi_perlayer" + istr1,
0530                      "Num Duplicate SimCluster Phi per Layer Cluster for layer " + istr2,
0531                      nintPhi_,
0532                      minPhi_,
0533                      maxPhi_);
0534     //-------------------------------------------------------------------------------------------------------------------------
0535     denom_simcluster_phi_perlayer[ilayer] = ibook.book1D("Denom_SimCluster_Phi_perlayer" + istr1,
0536                                                          "Denom SimCluster Phi per Layer Cluster for layer " + istr2,
0537                                                          nintPhi_,
0538                                                          minPhi_,
0539                                                          maxPhi_);
0540     //-------------------------------------------------------------------------------------------------------------------------
0541     num_layercl_in_simcl_eta_perlayer[ilayer] =
0542         ibook.book1D("Num_LayerCluster_in_SimCluster_Eta_perlayer" + istr1,
0543                      "Num LayerCluster Eta per Layer Cluster in SimCluster for layer " + istr2,
0544                      nintEta_,
0545                      minEta_,
0546                      maxEta_);
0547     //-------------------------------------------------------------------------------------------------------------------------
0548     numMerge_layercl_in_simcl_eta_perlayer[ilayer] =
0549         ibook.book1D("NumMerge_LayerCluster_in_SimCluster_Eta_perlayer" + istr1,
0550                      "Num Merge LayerCluster Eta per Layer Cluster in SimCluster for layer " + istr2,
0551                      nintEta_,
0552                      minEta_,
0553                      maxEta_);
0554     //-------------------------------------------------------------------------------------------------------------------------
0555     num_layercl_in_simcl_phi_perlayer[ilayer] =
0556         ibook.book1D("Num_LayerCluster_in_SimCluster_Phi_perlayer" + istr1,
0557                      "Num LayerCluster Phi per Layer Cluster in SimCluster for layer " + istr2,
0558                      nintPhi_,
0559                      minPhi_,
0560                      maxPhi_);
0561     //-------------------------------------------------------------------------------------------------------------------------
0562     numMerge_layercl_in_simcl_phi_perlayer[ilayer] =
0563         ibook.book1D("NumMerge_LayerCluster_in_SimCluster_Phi_perlayer" + istr1,
0564                      "Num Merge LayerCluster Phi per Layer Cluster in SimCluster for layer " + istr2,
0565                      nintPhi_,
0566                      minPhi_,
0567                      maxPhi_);
0568 
0569   }  //end of loop over layers
0570 
0571   histograms.h_denom_layercl_in_simcl_eta_perlayer.push_back(std::move(denom_layercl_in_simcl_eta_perlayer));
0572   histograms.h_denom_layercl_in_simcl_phi_perlayer.push_back(std::move(denom_layercl_in_simcl_phi_perlayer));
0573   histograms.h_score_layercl2simcluster_perlayer.push_back(std::move(score_layercl2simcluster_perlayer));
0574   histograms.h_sharedenergy_layercl2simcluster_perlayer.push_back(std::move(sharedenergy_layercl2simcluster_perlayer));
0575   histograms.h_energy_vs_score_layercl2simcluster_perlayer.push_back(
0576       std::move(energy_vs_score_layercl2simcluster_perlayer));
0577   histograms.h_num_layercl_in_simcl_eta_perlayer.push_back(std::move(num_layercl_in_simcl_eta_perlayer));
0578   histograms.h_num_layercl_in_simcl_phi_perlayer.push_back(std::move(num_layercl_in_simcl_phi_perlayer));
0579   histograms.h_numMerge_layercl_in_simcl_eta_perlayer.push_back(std::move(numMerge_layercl_in_simcl_eta_perlayer));
0580   histograms.h_numMerge_layercl_in_simcl_phi_perlayer.push_back(std::move(numMerge_layercl_in_simcl_phi_perlayer));
0581   histograms.h_sharedenergy_layercl2simcluster_vs_eta_perlayer.push_back(
0582       std::move(sharedenergy_layercl2simcluster_vs_eta_perlayer));
0583   histograms.h_sharedenergy_layercl2simcluster_vs_phi_perlayer.push_back(
0584       std::move(sharedenergy_layercl2simcluster_vs_phi_perlayer));
0585   histograms.h_denom_simcluster_eta_perlayer.push_back(std::move(denom_simcluster_eta_perlayer));
0586   histograms.h_denom_simcluster_phi_perlayer.push_back(std::move(denom_simcluster_phi_perlayer));
0587   histograms.h_score_simcluster2layercl_perlayer.push_back(std::move(score_simcluster2layercl_perlayer));
0588   histograms.h_sharedenergy_simcluster2layercl_perlayer.push_back(std::move(sharedenergy_simcluster2layercl_perlayer));
0589   histograms.h_energy_vs_score_simcluster2layercl_perlayer.push_back(
0590       std::move(energy_vs_score_simcluster2layercl_perlayer));
0591   histograms.h_num_simcluster_eta_perlayer.push_back(std::move(num_simcluster_eta_perlayer));
0592   histograms.h_num_simcluster_phi_perlayer.push_back(std::move(num_simcluster_phi_perlayer));
0593   histograms.h_numDup_simcluster_eta_perlayer.push_back(std::move(numDup_simcluster_eta_perlayer));
0594   histograms.h_numDup_simcluster_phi_perlayer.push_back(std::move(numDup_simcluster_phi_perlayer));
0595   histograms.h_sharedenergy_simcluster2layercl_vs_eta_perlayer.push_back(
0596       std::move(sharedenergy_simcluster2layercl_vs_eta_perlayer));
0597   histograms.h_sharedenergy_simcluster2layercl_vs_phi_perlayer.push_back(
0598       std::move(sharedenergy_simcluster2layercl_vs_phi_perlayer));
0599 }
0600 void HGVHistoProducerAlgo::bookClusterHistos_ClusterLevel(DQMStore::IBooker& ibook,
0601                                                           Histograms& histograms,
0602                                                           unsigned int layers,
0603                                                           std::vector<int> thicknesses,
0604                                                           std::string pathtomatbudfile) {
0605   //---------------------------------------------------------------------------------------------------------------------------
0606   histograms.h_cluster_eta.push_back(
0607       ibook.book1D("num_reco_cluster_eta", "N of reco clusters vs eta", nintEta_, minEta_, maxEta_));
0608 
0609   //---------------------------------------------------------------------------------------------------------------------------
0610   //z-
0611   histograms.h_mixedhitscluster_zminus.push_back(
0612       ibook.book1D("mixedhitscluster_zminus",
0613                    "N of reco clusters that contain hits of more than one kind in z-",
0614                    nintMixedHitsCluster_,
0615                    minMixedHitsCluster_,
0616                    maxMixedHitsCluster_));
0617   //z+
0618   histograms.h_mixedhitscluster_zplus.push_back(
0619       ibook.book1D("mixedhitscluster_zplus",
0620                    "N of reco clusters that contain hits of more than one kind in z+",
0621                    nintMixedHitsCluster_,
0622                    minMixedHitsCluster_,
0623                    maxMixedHitsCluster_));
0624 
0625   //---------------------------------------------------------------------------------------------------------------------------
0626   //z-
0627   histograms.h_energyclustered_zminus.push_back(
0628       ibook.book1D("energyclustered_zminus",
0629                    "percent of total energy clustered by all layer clusters over CaloParticless energy in z-",
0630                    nintEneCl_,
0631                    minEneCl_,
0632                    maxEneCl_));
0633   //z+
0634   histograms.h_energyclustered_zplus.push_back(
0635       ibook.book1D("energyclustered_zplus",
0636                    "percent of total energy clustered by all layer clusters over CaloParticless energy in z+",
0637                    nintEneCl_,
0638                    minEneCl_,
0639                    maxEneCl_));
0640 
0641   //---------------------------------------------------------------------------------------------------------------------------
0642   //z-
0643   std::string subpathtomat = pathtomatbudfile.substr(pathtomatbudfile.find("Validation"));
0644   histograms.h_longdepthbarycentre_zminus.push_back(
0645       ibook.book1D("longdepthbarycentre_zminus",
0646                    "The longitudinal depth barycentre in z- for " + subpathtomat,
0647                    nintLongDepBary_,
0648                    minLongDepBary_,
0649                    maxLongDepBary_));
0650   //z+
0651   histograms.h_longdepthbarycentre_zplus.push_back(
0652       ibook.book1D("longdepthbarycentre_zplus",
0653                    "The longitudinal depth barycentre in z+ for " + subpathtomat,
0654                    nintLongDepBary_,
0655                    minLongDepBary_,
0656                    maxLongDepBary_));
0657 
0658   //---------------------------------------------------------------------------------------------------------------------------
0659   for (unsigned ilayer = 0; ilayer < 2 * layers; ++ilayer) {
0660     auto istr1 = std::to_string(ilayer);
0661     while (istr1.size() < 2) {
0662       istr1.insert(0, "0");
0663     }
0664     // Make a mapping to the regural layer naming plus z- or z+ for convenience
0665     std::string istr2 = "";
0666     // first with the -z endcap
0667     if (ilayer < layers) {
0668       istr2 = std::to_string(ilayer + 1) + " in z-";
0669     } else {  // then for the +z
0670       istr2 = std::to_string(ilayer - (layers - 1)) + " in z+";
0671     }
0672     histograms.h_clusternum_perlayer[ilayer] = ibook.book1D("totclusternum_layer_" + istr1,
0673                                                             "total number of layer clusters for layer " + istr2,
0674                                                             nintTotNClsperlay_,
0675                                                             minTotNClsperlay_,
0676                                                             maxTotNClsperlay_);
0677     histograms.h_energyclustered_perlayer[ilayer] = ibook.book1D(
0678         "energyclustered_perlayer" + istr1,
0679         "percent of total energy clustered by layer clusters over CaloParticless energy for layer " + istr2,
0680         nintEneClperlay_,
0681         minEneClperlay_,
0682         maxEneClperlay_);
0683   }
0684 
0685   //---------------------------------------------------------------------------------------------------------------------------
0686   for (std::vector<int>::iterator it = thicknesses.begin(); it != thicknesses.end(); ++it) {
0687     auto istr = std::to_string(*it);
0688     histograms.h_clusternum_perthick[(*it)] = ibook.book1D("totclusternum_thick_" + istr,
0689                                                            "total number of layer clusters for thickness " + istr,
0690                                                            nintTotNClsperthick_,
0691                                                            minTotNClsperthick_,
0692                                                            maxTotNClsperthick_);
0693   }
0694   //---------------------------------------------------------------------------------------------------------------------------
0695 }
0696 
0697 void HGVHistoProducerAlgo::bookClusterHistos_LCtoCP_association(DQMStore::IBooker& ibook,
0698                                                                 Histograms& histograms,
0699                                                                 unsigned int layers) {
0700   //----------------------------------------------------------------------------------------------------------------------------
0701   for (unsigned ilayer = 0; ilayer < 2 * layers; ++ilayer) {
0702     auto istr1 = std::to_string(ilayer);
0703     while (istr1.size() < 2) {
0704       istr1.insert(0, "0");
0705     }
0706     // Make a mapping to the regural layer naming plus z- or z+ for convenience
0707     std::string istr2 = "";
0708     // first with the -z endcap
0709     if (ilayer < layers) {
0710       istr2 = std::to_string(ilayer + 1) + " in z-";
0711     } else {  // then for the +z
0712       istr2 = std::to_string(ilayer - (layers - 1)) + " in z+";
0713     }
0714     histograms.h_score_layercl2caloparticle_perlayer[ilayer] =
0715         ibook.book1D("Score_layercl2caloparticle_perlayer" + istr1,
0716                      "Score of Layer Cluster per CaloParticle for layer " + istr2,
0717                      nintScore_,
0718                      minScore_,
0719                      maxScore_);
0720     histograms.h_score_caloparticle2layercl_perlayer[ilayer] =
0721         ibook.book1D("Score_caloparticle2layercl_perlayer" + istr1,
0722                      "Score of CaloParticle per Layer Cluster for layer " + istr2,
0723                      nintScore_,
0724                      minScore_,
0725                      maxScore_);
0726     histograms.h_energy_vs_score_caloparticle2layercl_perlayer[ilayer] =
0727         ibook.book2D("Energy_vs_Score_caloparticle2layer_perlayer" + istr1,
0728                      "Energy vs Score of CaloParticle per Layer Cluster for layer " + istr2,
0729                      nintScore_,
0730                      minScore_,
0731                      maxScore_,
0732                      nintSharedEneFrac_,
0733                      minSharedEneFrac_,
0734                      maxSharedEneFrac_);
0735     histograms.h_energy_vs_score_layercl2caloparticle_perlayer[ilayer] =
0736         ibook.book2D("Energy_vs_Score_layer2caloparticle_perlayer" + istr1,
0737                      "Energy vs Score of Layer Cluster per CaloParticle Layer for layer " + istr2,
0738                      nintScore_,
0739                      minScore_,
0740                      maxScore_,
0741                      nintSharedEneFrac_,
0742                      minSharedEneFrac_,
0743                      maxSharedEneFrac_);
0744     histograms.h_sharedenergy_caloparticle2layercl_perlayer[ilayer] =
0745         ibook.book1D("SharedEnergy_caloparticle2layercl_perlayer" + istr1,
0746                      "Shared Energy of CaloParticle per Layer Cluster for layer " + istr2,
0747                      nintSharedEneFrac_,
0748                      minSharedEneFrac_,
0749                      maxSharedEneFrac_);
0750     histograms.h_sharedenergy_caloparticle2layercl_vs_eta_perlayer[ilayer] =
0751         ibook.bookProfile("SharedEnergy_caloparticle2layercl_vs_eta_perlayer" + istr1,
0752                           "Shared Energy of CaloParticle vs #eta per best Layer Cluster for layer " + istr2,
0753                           nintEta_,
0754                           minEta_,
0755                           maxEta_,
0756                           minSharedEneFrac_,
0757                           maxSharedEneFrac_);
0758     histograms.h_sharedenergy_caloparticle2layercl_vs_phi_perlayer[ilayer] =
0759         ibook.bookProfile("SharedEnergy_caloparticle2layercl_vs_phi_perlayer" + istr1,
0760                           "Shared Energy of CaloParticle vs #phi per best Layer Cluster for layer " + istr2,
0761                           nintPhi_,
0762                           minPhi_,
0763                           maxPhi_,
0764                           minSharedEneFrac_,
0765                           maxSharedEneFrac_);
0766     histograms.h_sharedenergy_layercl2caloparticle_perlayer[ilayer] =
0767         ibook.book1D("SharedEnergy_layercluster2caloparticle_perlayer" + istr1,
0768                      "Shared Energy of Layer Cluster per Layer Calo Particle for layer " + istr2,
0769                      nintSharedEneFrac_,
0770                      minSharedEneFrac_,
0771                      maxSharedEneFrac_);
0772     histograms.h_sharedenergy_layercl2caloparticle_vs_eta_perlayer[ilayer] =
0773         ibook.bookProfile("SharedEnergy_layercl2caloparticle_vs_eta_perlayer" + istr1,
0774                           "Shared Energy of LayerCluster vs #eta per best Calo Particle for layer " + istr2,
0775                           nintEta_,
0776                           minEta_,
0777                           maxEta_,
0778                           minSharedEneFrac_,
0779                           maxSharedEneFrac_);
0780     histograms.h_sharedenergy_layercl2caloparticle_vs_phi_perlayer[ilayer] =
0781         ibook.bookProfile("SharedEnergy_layercl2caloparticle_vs_phi_perlayer" + istr1,
0782                           "Shared Energy of LayerCluster vs #phi per best Calo Particle for layer " + istr2,
0783                           nintPhi_,
0784                           minPhi_,
0785                           maxPhi_,
0786                           minSharedEneFrac_,
0787                           maxSharedEneFrac_);
0788     histograms.h_num_caloparticle_eta_perlayer[ilayer] =
0789         ibook.book1D("Num_CaloParticle_Eta_perlayer" + istr1,
0790                      "Num CaloParticle Eta per Layer Cluster for layer " + istr2,
0791                      nintEta_,
0792                      minEta_,
0793                      maxEta_);
0794     histograms.h_numDup_caloparticle_eta_perlayer[ilayer] =
0795         ibook.book1D("NumDup_CaloParticle_Eta_perlayer" + istr1,
0796                      "Num Duplicate CaloParticle Eta per Layer Cluster for layer " + istr2,
0797                      nintEta_,
0798                      minEta_,
0799                      maxEta_);
0800     histograms.h_denom_caloparticle_eta_perlayer[ilayer] =
0801         ibook.book1D("Denom_CaloParticle_Eta_perlayer" + istr1,
0802                      "Denom CaloParticle Eta per Layer Cluster for layer " + istr2,
0803                      nintEta_,
0804                      minEta_,
0805                      maxEta_);
0806     histograms.h_num_caloparticle_phi_perlayer[ilayer] =
0807         ibook.book1D("Num_CaloParticle_Phi_perlayer" + istr1,
0808                      "Num CaloParticle Phi per Layer Cluster for layer " + istr2,
0809                      nintPhi_,
0810                      minPhi_,
0811                      maxPhi_);
0812     histograms.h_numDup_caloparticle_phi_perlayer[ilayer] =
0813         ibook.book1D("NumDup_CaloParticle_Phi_perlayer" + istr1,
0814                      "Num Duplicate CaloParticle Phi per Layer Cluster for layer " + istr2,
0815                      nintPhi_,
0816                      minPhi_,
0817                      maxPhi_);
0818     histograms.h_denom_caloparticle_phi_perlayer[ilayer] =
0819         ibook.book1D("Denom_CaloParticle_Phi_perlayer" + istr1,
0820                      "Denom CaloParticle Phi per Layer Cluster for layer " + istr2,
0821                      nintPhi_,
0822                      minPhi_,
0823                      maxPhi_);
0824     histograms.h_num_layercl_eta_perlayer[ilayer] =
0825         ibook.book1D("Num_LayerCluster_Eta_perlayer" + istr1,
0826                      "Num LayerCluster Eta per Layer Cluster for layer " + istr2,
0827                      nintEta_,
0828                      minEta_,
0829                      maxEta_);
0830     histograms.h_numMerge_layercl_eta_perlayer[ilayer] =
0831         ibook.book1D("NumMerge_LayerCluster_Eta_perlayer" + istr1,
0832                      "Num Merge LayerCluster Eta per Layer Cluster for layer " + istr2,
0833                      nintEta_,
0834                      minEta_,
0835                      maxEta_);
0836     histograms.h_denom_layercl_eta_perlayer[ilayer] =
0837         ibook.book1D("Denom_LayerCluster_Eta_perlayer" + istr1,
0838                      "Denom LayerCluster Eta per Layer Cluster for layer " + istr2,
0839                      nintEta_,
0840                      minEta_,
0841                      maxEta_);
0842     histograms.h_num_layercl_phi_perlayer[ilayer] =
0843         ibook.book1D("Num_LayerCluster_Phi_perlayer" + istr1,
0844                      "Num LayerCluster Phi per Layer Cluster for layer " + istr2,
0845                      nintPhi_,
0846                      minPhi_,
0847                      maxPhi_);
0848     histograms.h_numMerge_layercl_phi_perlayer[ilayer] =
0849         ibook.book1D("NumMerge_LayerCluster_Phi_perlayer" + istr1,
0850                      "Num Merge LayerCluster Phi per Layer Cluster for layer " + istr2,
0851                      nintPhi_,
0852                      minPhi_,
0853                      maxPhi_);
0854     histograms.h_denom_layercl_phi_perlayer[ilayer] =
0855         ibook.book1D("Denom_LayerCluster_Phi_perlayer" + istr1,
0856                      "Denom LayerCluster Phi per Layer Cluster for layer " + istr2,
0857                      nintPhi_,
0858                      minPhi_,
0859                      maxPhi_);
0860   }
0861   //---------------------------------------------------------------------------------------------------------------------------
0862 }
0863 
0864 void HGVHistoProducerAlgo::bookClusterHistos_CellLevel(DQMStore::IBooker& ibook,
0865                                                        Histograms& histograms,
0866                                                        unsigned int layers,
0867                                                        std::vector<int> thicknesses) {
0868   //----------------------------------------------------------------------------------------------------------------------------
0869   for (unsigned ilayer = 0; ilayer < 2 * layers; ++ilayer) {
0870     auto istr1 = std::to_string(ilayer);
0871     while (istr1.size() < 2) {
0872       istr1.insert(0, "0");
0873     }
0874     // Make a mapping to the regural layer naming plus z- or z+ for convenience
0875     std::string istr2 = "";
0876     // first with the -z endcap
0877     if (ilayer < layers) {
0878       istr2 = std::to_string(ilayer + 1) + " in z-";
0879     } else {  // then for the +z
0880       istr2 = std::to_string(ilayer - (layers - 1)) + " in z+";
0881     }
0882     histograms.h_cellAssociation_perlayer[ilayer] =
0883         ibook.book1D("cellAssociation_perlayer" + istr1, "Cell Association for layer " + istr2, 5, -4., 1.);
0884     histograms.h_cellAssociation_perlayer[ilayer]->setBinLabel(2, "TN(purity)");
0885     histograms.h_cellAssociation_perlayer[ilayer]->setBinLabel(3, "FN(ineff.)");
0886     histograms.h_cellAssociation_perlayer[ilayer]->setBinLabel(4, "FP(fake)");
0887     histograms.h_cellAssociation_perlayer[ilayer]->setBinLabel(5, "TP(eff.)");
0888   }
0889   //----------------------------------------------------------------------------------------------------------------------------
0890   for (std::vector<int>::iterator it = thicknesses.begin(); it != thicknesses.end(); ++it) {
0891     auto istr = std::to_string(*it);
0892     histograms.h_cellsenedens_perthick[(*it)] = ibook.book1D("cellsenedens_thick_" + istr,
0893                                                              "energy density of cluster cells for thickness " + istr,
0894                                                              nintCellsEneDensperthick_,
0895                                                              minCellsEneDensperthick_,
0896                                                              maxCellsEneDensperthick_);
0897   }
0898   //----------------------------------------------------------------------------------------------------------------------------
0899   //Not all combination exists but should keep them all for cross checking reason.
0900   for (std::vector<int>::iterator it = thicknesses.begin(); it != thicknesses.end(); ++it) {
0901     for (unsigned ilayer = 0; ilayer < 2 * layers; ++ilayer) {
0902       auto istr1 = std::to_string(*it);
0903       auto istr2 = std::to_string(ilayer);
0904       while (istr2.size() < 2)
0905         istr2.insert(0, "0");
0906       auto istr = istr1 + "_" + istr2;
0907       // Make a mapping to the regural layer naming plus z- or z+ for convenience
0908       std::string istr3 = "";
0909       // first with the -z endcap
0910       if (ilayer < layers) {
0911         istr3 = std::to_string(ilayer + 1) + " in z- ";
0912       } else {  // then for the +z
0913         istr3 = std::to_string(ilayer - (layers - 1)) + " in z+ ";
0914       }
0915       //---
0916       histograms.h_cellsnum_perthickperlayer[istr] =
0917           ibook.book1D("cellsnum_perthick_perlayer_" + istr,
0918                        "total number of cells for layer " + istr3 + " for thickness " + istr1,
0919                        nintTotNcellsperthickperlayer_,
0920                        minTotNcellsperthickperlayer_,
0921                        maxTotNcellsperthickperlayer_);
0922       //---
0923       histograms.h_distancetoseedcell_perthickperlayer[istr] =
0924           ibook.book1D("distancetoseedcell_perthickperlayer_" + istr,
0925                        "distance of cluster cells to seed cell for layer " + istr3 + " for thickness " + istr1,
0926                        nintDisToSeedperthickperlayer_,
0927                        minDisToSeedperthickperlayer_,
0928                        maxDisToSeedperthickperlayer_);
0929       //---
0930       histograms.h_distancetoseedcell_perthickperlayer_eneweighted[istr] = ibook.book1D(
0931           "distancetoseedcell_perthickperlayer_eneweighted_" + istr,
0932           "energy weighted distance of cluster cells to seed cell for layer " + istr3 + " for thickness " + istr1,
0933           nintDisToSeedperthickperlayerenewei_,
0934           minDisToSeedperthickperlayerenewei_,
0935           maxDisToSeedperthickperlayerenewei_);
0936       //---
0937       histograms.h_distancetomaxcell_perthickperlayer[istr] =
0938           ibook.book1D("distancetomaxcell_perthickperlayer_" + istr,
0939                        "distance of cluster cells to max cell for layer " + istr3 + " for thickness " + istr1,
0940                        nintDisToMaxperthickperlayer_,
0941                        minDisToMaxperthickperlayer_,
0942                        maxDisToMaxperthickperlayer_);
0943       //---
0944       histograms.h_distancetomaxcell_perthickperlayer_eneweighted[istr] = ibook.book1D(
0945           "distancetomaxcell_perthickperlayer_eneweighted_" + istr,
0946           "energy weighted distance of cluster cells to max cell for layer " + istr3 + " for thickness " + istr1,
0947           nintDisToMaxperthickperlayerenewei_,
0948           minDisToMaxperthickperlayerenewei_,
0949           maxDisToMaxperthickperlayerenewei_);
0950       //---
0951       histograms.h_distancebetseedandmaxcell_perthickperlayer[istr] =
0952           ibook.book1D("distancebetseedandmaxcell_perthickperlayer_" + istr,
0953                        "distance of seed cell to max cell for layer " + istr3 + " for thickness " + istr1,
0954                        nintDisSeedToMaxperthickperlayer_,
0955                        minDisSeedToMaxperthickperlayer_,
0956                        maxDisSeedToMaxperthickperlayer_);
0957       //---
0958       histograms.h_distancebetseedandmaxcellvsclusterenergy_perthickperlayer[istr] = ibook.book2D(
0959           "distancebetseedandmaxcellvsclusterenergy_perthickperlayer_" + istr,
0960           "distance of seed cell to max cell vs cluster energy for layer " + istr3 + " for thickness " + istr1,
0961           nintDisSeedToMaxperthickperlayer_,
0962           minDisSeedToMaxperthickperlayer_,
0963           maxDisSeedToMaxperthickperlayer_,
0964           nintClEneperthickperlayer_,
0965           minClEneperthickperlayer_,
0966           maxClEneperthickperlayer_);
0967     }
0968   }
0969 }
0970 //----------------------------------------------------------------------------------------------------------------------------
0971 
0972 void HGVHistoProducerAlgo::bookTracksterHistos(DQMStore::IBooker& ibook, Histograms& histograms, unsigned int layers) {
0973   std::unordered_map<int, dqm::reco::MonitorElement*> clusternum_in_trackster_perlayer;
0974   clusternum_in_trackster_perlayer.clear();
0975 
0976   for (unsigned ilayer = 0; ilayer < 2 * layers; ++ilayer) {
0977     auto istr1 = std::to_string(ilayer);
0978     while (istr1.size() < 2) {
0979       istr1.insert(0, "0");
0980     }
0981     // Make a mapping to the regural layer naming plus z- or z+ for convenience
0982     std::string istr2 = "";
0983     // first with the -z endcap
0984     if (ilayer < layers) {
0985       istr2 = std::to_string(ilayer + 1) + " in z-";
0986     } else {  // then for the +z
0987       istr2 = std::to_string(ilayer - (layers - 1)) + " in z+";
0988     }
0989 
0990     clusternum_in_trackster_perlayer[ilayer] = ibook.book1D("clusternum_in_trackster_perlayer" + istr1,
0991                                                             "Number of layer clusters in Trackster for layer " + istr2,
0992                                                             nintTotNClsinTSTsperlayer_,
0993                                                             minTotNClsinTSTsperlayer_,
0994                                                             maxTotNClsinTSTsperlayer_);
0995   }
0996 
0997   histograms.h_clusternum_in_trackster_perlayer.push_back(std::move(clusternum_in_trackster_perlayer));
0998 
0999   histograms.h_tracksternum.push_back(ibook.book1D(
1000       "tottracksternum", "total number of Tracksters;# of Tracksters", nintTotNTSTs_, minTotNTSTs_, maxTotNTSTs_));
1001 
1002   histograms.h_conttracksternum.push_back(ibook.book1D(
1003       "conttracksternum", "number of Tracksters with 3 contiguous layers", nintTotNTSTs_, minTotNTSTs_, maxTotNTSTs_));
1004 
1005   histograms.h_nonconttracksternum.push_back(ibook.book1D("nonconttracksternum",
1006                                                           "number of Tracksters without 3 contiguous layers",
1007                                                           nintTotNTSTs_,
1008                                                           minTotNTSTs_,
1009                                                           maxTotNTSTs_));
1010 
1011   histograms.h_clusternum_in_trackster.push_back(
1012       ibook.book1D("clusternum_in_trackster",
1013                    "total number of layer clusters in Trackster;# of LayerClusters",
1014                    nintTotNClsinTSTs_,
1015                    minTotNClsinTSTs_,
1016                    maxTotNClsinTSTs_));
1017 
1018   histograms.h_clusternum_in_trackster_vs_layer.push_back(ibook.bookProfile(
1019       "clusternum_in_trackster_vs_layer",
1020       "Profile of 2d layer clusters in Trackster vs layer number;layer number;<2D LayerClusters in Trackster>",
1021       2 * layers,
1022       0.,
1023       2. * layers,
1024       minTotNClsinTSTsperlayer_,
1025       maxTotNClsinTSTsperlayer_));
1026 
1027   histograms.h_multiplicityOfLCinTST.push_back(
1028       ibook.book2D("multiplicityOfLCinTST",
1029                    "Multiplicity vs Layer cluster size in Tracksters;LayerCluster multiplicity in Tracksters;Cluster "
1030                    "size (n_{hits})",
1031                    nintMplofLCs_,
1032                    minMplofLCs_,
1033                    maxMplofLCs_,
1034                    nintSizeCLsinTSTs_,
1035                    minSizeCLsinTSTs_,
1036                    maxSizeCLsinTSTs_));
1037 
1038   histograms.h_multiplicity_numberOfEventsHistogram.push_back(ibook.book1D("multiplicity_numberOfEventsHistogram",
1039                                                                            "multiplicity numberOfEventsHistogram",
1040                                                                            nintMplofLCs_,
1041                                                                            minMplofLCs_,
1042                                                                            maxMplofLCs_));
1043 
1044   histograms.h_multiplicity_zminus_numberOfEventsHistogram.push_back(
1045       ibook.book1D("multiplicity_zminus_numberOfEventsHistogram",
1046                    "multiplicity numberOfEventsHistogram in z-",
1047                    nintMplofLCs_,
1048                    minMplofLCs_,
1049                    maxMplofLCs_));
1050 
1051   histograms.h_multiplicity_zplus_numberOfEventsHistogram.push_back(
1052       ibook.book1D("multiplicity_zplus_numberOfEventsHistogram",
1053                    "multiplicity numberOfEventsHistogram in z+",
1054                    nintMplofLCs_,
1055                    minMplofLCs_,
1056                    maxMplofLCs_));
1057 
1058   histograms.h_multiplicityOfLCinTST_vs_layercluster_zminus.push_back(
1059       ibook.book2D("multiplicityOfLCinTST_vs_layercluster_zminus",
1060                    "Multiplicity vs Layer number in z-;LayerCluster multiplicity in Tracksters;layer number",
1061                    nintMplofLCs_,
1062                    minMplofLCs_,
1063                    maxMplofLCs_,
1064                    layers,
1065                    0.,
1066                    (float)layers));
1067 
1068   histograms.h_multiplicityOfLCinTST_vs_layercluster_zplus.push_back(
1069       ibook.book2D("multiplicityOfLCinTST_vs_layercluster_zplus",
1070                    "Multiplicity vs Layer number in z+;LayerCluster multiplicity in Tracksters;layer number",
1071                    nintMplofLCs_,
1072                    minMplofLCs_,
1073                    maxMplofLCs_,
1074                    layers,
1075                    0.,
1076                    (float)layers));
1077 
1078   histograms.h_multiplicityOfLCinTST_vs_layerclusterenergy.push_back(
1079       ibook.book2D("multiplicityOfLCinTST_vs_layerclusterenergy",
1080                    "Multiplicity vs Layer cluster energy;LayerCluster multiplicity in Tracksters;Cluster energy [GeV]",
1081                    nintMplofLCs_,
1082                    minMplofLCs_,
1083                    maxMplofLCs_,
1084                    nintClEnepermultiplicity_,
1085                    minClEnepermultiplicity_,
1086                    maxClEnepermultiplicity_));
1087 
1088   histograms.h_trackster_pt.push_back(
1089       ibook.book1D("trackster_pt", "Pt of the Trackster;Trackster p_{T} [GeV]", nintPt_, minPt_, maxPt_));
1090   histograms.h_trackster_eta.push_back(
1091       ibook.book1D("trackster_eta", "Eta of the Trackster;Trackster #eta", nintEta_, minEta_, maxEta_));
1092   histograms.h_trackster_phi.push_back(
1093       ibook.book1D("trackster_phi", "Phi of the Trackster;Trackster #phi", nintPhi_, minPhi_, maxPhi_));
1094   histograms.h_trackster_energy.push_back(
1095       ibook.book1D("trackster_energy", "Energy of the Trackster;Trackster energy [GeV]", nintEne_, minEne_, maxEne_));
1096   histograms.h_trackster_x.push_back(
1097       ibook.book1D("trackster_x", "X position of the Trackster;Trackster x", nintX_, minX_, maxX_));
1098   histograms.h_trackster_y.push_back(
1099       ibook.book1D("trackster_y", "Y position of the Trackster;Trackster y", nintY_, minY_, maxY_));
1100   histograms.h_trackster_z.push_back(
1101       ibook.book1D("trackster_z", "Z position of the Trackster;Trackster z", nintZ_, minZ_, maxZ_));
1102   histograms.h_trackster_firstlayer.push_back(ibook.book1D(
1103       "trackster_firstlayer", "First layer of the Trackster;Trackster First Layer", 2 * layers, 0., (float)2 * layers));
1104   histograms.h_trackster_lastlayer.push_back(ibook.book1D(
1105       "trackster_lastlayer", "Last layer of the Trackster;Trackster Last Layer", 2 * layers, 0., (float)2 * layers));
1106   histograms.h_trackster_layersnum.push_back(
1107       ibook.book1D("trackster_layersnum",
1108                    "Number of layers of the Trackster;Trackster Number of Layers",
1109                    2 * layers,
1110                    0.,
1111                    (float)2 * layers));
1112 }
1113 
1114 void HGVHistoProducerAlgo::bookTracksterSTSHistos(DQMStore::IBooker& ibook,
1115                                                   Histograms& histograms,
1116                                                   const validationType valType) {
1117   const string rtos = ";score Reco-to-Sim";
1118   const string stor = ";score Sim-to-Reco";
1119   const string shREnFr = ";shared Reco energy fraction";
1120   const string shSEnFr = ";shared Sim energy fraction";
1121 
1122   histograms.h_score_trackster2caloparticle[valType].push_back(
1123       ibook.book1D("Score_trackster2" + ref_[valType],
1124                    "Score of Trackster per " + refText_[valType] + rtos,
1125                    nintScore_,
1126                    minScore_,
1127                    maxScore_));
1128   histograms.h_score_trackster2bestCaloparticle[valType].push_back(
1129       ibook.book1D("ScoreFake_trackster2" + ref_[valType],
1130                    "Score of Trackster per best " + refText_[valType] + rtos,
1131                    nintScore_,
1132                    minScore_,
1133                    maxScore_));
1134   histograms.h_score_trackster2bestCaloparticle2[valType].push_back(
1135       ibook.book1D("ScoreMerge_trackster2" + ref_[valType],
1136                    "Score of Trackster per 2^{nd} best " + refText_[valType] + rtos,
1137                    nintScore_,
1138                    minScore_,
1139                    maxScore_));
1140   histograms.h_score_caloparticle2trackster[valType].push_back(
1141       ibook.book1D("Score_" + ref_[valType] + "2trackster",
1142                    "Score of " + refText_[valType] + " per Trackster" + stor,
1143                    nintScore_,
1144                    minScore_,
1145                    maxScore_));
1146   histograms.h_scorePur_caloparticle2trackster[valType].push_back(
1147       ibook.book1D("ScorePur_" + ref_[valType] + "2trackster",
1148                    "Score of " + refText_[valType] + " per best Trackster" + stor,
1149                    nintScore_,
1150                    minScore_,
1151                    maxScore_));
1152   histograms.h_scoreDupl_caloparticle2trackster[valType].push_back(
1153       ibook.book1D("ScoreDupl_" + ref_[valType] + "2trackster",
1154                    "Score of " + refText_[valType] + " per 2^{nd} best Trackster" + stor,
1155                    nintScore_,
1156                    minScore_,
1157                    maxScore_));
1158   histograms.h_energy_vs_score_trackster2caloparticle[valType].push_back(
1159       ibook.book2D("Energy_vs_Score_trackster2" + ref_[valType],
1160                    "Energy vs Score of Trackster per " + refText_[valType] + rtos + shREnFr,
1161                    nintScore_,
1162                    minScore_,
1163                    maxScore_,
1164                    nintSharedEneFrac_,
1165                    minTSTSharedEneFrac_,
1166                    maxTSTSharedEneFrac_));
1167   histograms.h_energy_vs_score_trackster2bestCaloparticle[valType].push_back(
1168       ibook.book2D("Energy_vs_Score_trackster2best" + ref_[valType],
1169                    "Energy vs Score of Trackster per best " + refText_[valType] + rtos + shREnFr,
1170                    nintScore_,
1171                    minScore_,
1172                    maxScore_,
1173                    nintSharedEneFrac_,
1174                    minTSTSharedEneFrac_,
1175                    maxTSTSharedEneFrac_));
1176   histograms.h_energy_vs_score_trackster2bestCaloparticle2[valType].push_back(
1177       ibook.book2D("Energy_vs_Score_trackster2secBest" + ref_[valType],
1178                    "Energy vs Score of Trackster per 2^{nd} best " + refText_[valType] + rtos + shREnFr,
1179                    nintScore_,
1180                    minScore_,
1181                    maxScore_,
1182                    nintSharedEneFrac_,
1183                    minTSTSharedEneFrac_,
1184                    maxTSTSharedEneFrac_));
1185   histograms.h_energy_vs_score_caloparticle2trackster[valType].push_back(
1186       ibook.book2D("Energy_vs_Score_" + ref_[valType] + "2Trackster",
1187                    "Energy vs Score of " + refText_[valType] + " per Trackster" + stor + shSEnFr,
1188                    nintScore_,
1189                    minScore_,
1190                    maxScore_,
1191                    nintSharedEneFrac_,
1192                    minTSTSharedEneFrac_,
1193                    maxTSTSharedEneFrac_));
1194   histograms.h_energy_vs_score_caloparticle2bestTrackster[valType].push_back(
1195       ibook.book2D("Energy_vs_Score_" + ref_[valType] + "2bestTrackster",
1196                    "Energy vs Score of " + refText_[valType] + " per best Trackster" + stor + shSEnFr,
1197                    nintScore_,
1198                    minScore_,
1199                    maxScore_,
1200                    nintSharedEneFrac_,
1201                    minTSTSharedEneFrac_,
1202                    maxTSTSharedEneFrac_));
1203   histograms.h_energy_vs_score_caloparticle2bestTrackster2[valType].push_back(
1204       ibook.book2D("Energy_vs_Score_" + ref_[valType] + "2secBestTrackster",
1205                    "Energy vs Score of " + refText_[valType] + " per 2^{nd} best Trackster" + stor + shSEnFr,
1206                    nintScore_,
1207                    minScore_,
1208                    maxScore_,
1209                    nintSharedEneFrac_,
1210                    minTSTSharedEneFrac_,
1211                    maxTSTSharedEneFrac_));
1212 
1213   // Back to all Tracksters
1214   // eta
1215   histograms.h_num_trackster_eta[valType].push_back(ibook.book1D(
1216       "Num_Trackster_Eta" + valSuffix_[valType], "Num Trackster Eta per Trackster;#eta", nintEta_, minEta_, maxEta_));
1217   histograms.h_numMerge_trackster_eta[valType].push_back(ibook.book1D("NumMerge_Trackster_Eta" + valSuffix_[valType],
1218                                                                       "Num Merge Trackster Eta per Trackster;#eta",
1219                                                                       nintEta_,
1220                                                                       minEta_,
1221                                                                       maxEta_));
1222   histograms.h_denom_trackster_eta[valType].push_back(ibook.book1D("Denom_Trackster_Eta" + valSuffix_[valType],
1223                                                                    "Denom Trackster Eta per Trackster;#eta",
1224                                                                    nintEta_,
1225                                                                    minEta_,
1226                                                                    maxEta_));
1227   // phi
1228   histograms.h_num_trackster_phi[valType].push_back(ibook.book1D(
1229       "Num_Trackster_Phi" + valSuffix_[valType], "Num Trackster Phi per Trackster;#phi", nintPhi_, minPhi_, maxPhi_));
1230   histograms.h_numMerge_trackster_phi[valType].push_back(ibook.book1D("NumMerge_Trackster_Phi" + valSuffix_[valType],
1231                                                                       "Num Merge Trackster Phi per Trackster;#phi",
1232                                                                       nintPhi_,
1233                                                                       minPhi_,
1234                                                                       maxPhi_));
1235   histograms.h_denom_trackster_phi[valType].push_back(ibook.book1D("Denom_Trackster_Phi" + valSuffix_[valType],
1236                                                                    "Denom Trackster Phi per Trackster;#phi",
1237                                                                    nintPhi_,
1238                                                                    minPhi_,
1239                                                                    maxPhi_));
1240   // energy
1241   histograms.h_num_trackster_en[valType].push_back(ibook.book1D("Num_Trackster_Energy" + valSuffix_[valType],
1242                                                                 "Num Trackster Energy per Trackster;energy [GeV]",
1243                                                                 nintEne_,
1244                                                                 minEne_,
1245                                                                 maxEne_));
1246   histograms.h_numMerge_trackster_en[valType].push_back(
1247       ibook.book1D("NumMerge_Trackster_Energy" + valSuffix_[valType],
1248                    "Num Merge Trackster Energy per Trackster;energy [GeV]",
1249                    nintEne_,
1250                    minEne_,
1251                    maxEne_));
1252   histograms.h_denom_trackster_en[valType].push_back(ibook.book1D("Denom_Trackster_Energy" + valSuffix_[valType],
1253                                                                   "Denom Trackster Energy per Trackster;energy [GeV]",
1254                                                                   nintEne_,
1255                                                                   minEne_,
1256                                                                   maxEne_));
1257   // pT
1258   histograms.h_num_trackster_pt[valType].push_back(ibook.book1D("Num_Trackster_Pt" + valSuffix_[valType],
1259                                                                 "Num Trackster p_{T} per Trackster;p_{T} [GeV]",
1260                                                                 nintPt_,
1261                                                                 minPt_,
1262                                                                 maxPt_));
1263   histograms.h_numMerge_trackster_pt[valType].push_back(
1264       ibook.book1D("NumMerge_Trackster_Pt" + valSuffix_[valType],
1265                    "Num Merge Trackster p_{T} per Trackster;p_{T} [GeV]",
1266                    nintPt_,
1267                    minPt_,
1268                    maxPt_));
1269   histograms.h_denom_trackster_pt[valType].push_back(ibook.book1D("Denom_Trackster_Pt" + valSuffix_[valType],
1270                                                                   "Denom Trackster p_{T} per Trackster;p_{T} [GeV]",
1271                                                                   nintPt_,
1272                                                                   minPt_,
1273                                                                   maxPt_));
1274 
1275   histograms.h_sharedenergy_trackster2caloparticle[valType].push_back(
1276       ibook.book1D("SharedEnergy_trackster2" + ref_[valType],
1277                    "Shared Energy of Trackster per " + refText_[valType] + shREnFr,
1278                    nintSharedEneFrac_,
1279                    minTSTSharedEneFrac_,
1280                    maxTSTSharedEneFrac_));
1281   histograms.h_sharedenergy_trackster2bestCaloparticle[valType].push_back(
1282       ibook.book1D("SharedEnergy_trackster2" + ref_[valType] + "_assoc",
1283                    "Shared Energy of Trackster per best " + refText_[valType] + shREnFr,
1284                    nintSharedEneFrac_,
1285                    minTSTSharedEneFrac_,
1286                    maxTSTSharedEneFrac_));
1287   histograms.h_sharedenergy_trackster2bestCaloparticle_vs_eta[valType].push_back(ibook.bookProfile(
1288       "SharedEnergy_trackster2" + ref_[valType] + "_assoc_vs_eta",
1289       "Shared Energy of Trackster vs #eta per best " + refText_[valType] + ";Trackster #eta" + shREnFr,
1290       nintEta_,
1291       minEta_,
1292       maxEta_,
1293       minTSTSharedEneFrac_,
1294       maxTSTSharedEneFrac_));
1295   histograms.h_sharedenergy_trackster2bestCaloparticle_vs_phi[valType].push_back(ibook.bookProfile(
1296       "SharedEnergy_trackster2" + ref_[valType] + "_assoc_vs_phi",
1297       "Shared Energy of Trackster vs #phi per best " + refText_[valType] + ";Trackster #phi" + shREnFr,
1298       nintPhi_,
1299       minPhi_,
1300       maxPhi_,
1301       minTSTSharedEneFrac_,
1302       maxTSTSharedEneFrac_));
1303   histograms.h_sharedenergy_trackster2bestCaloparticle2[valType].push_back(
1304       ibook.book1D("SharedEnergy_trackster2" + ref_[valType] + "_assoc2",
1305                    "Shared Energy of Trackster per 2^{nd} best " + refText_[valType] + shREnFr,
1306                    nintSharedEneFrac_,
1307                    minTSTSharedEneFrac_,
1308                    maxTSTSharedEneFrac_));
1309 
1310   histograms.h_sharedenergy_caloparticle2trackster[valType].push_back(
1311       ibook.book1D("SharedEnergy_" + ref_[valType] + "2trackster",
1312                    "Shared Energy of " + refText_[valType] + " per Trackster" + shSEnFr,
1313                    nintSharedEneFrac_,
1314                    minTSTSharedEneFrac_,
1315                    maxTSTSharedEneFrac_));
1316   histograms.h_sharedenergy_caloparticle2trackster_assoc[valType].push_back(
1317       ibook.book1D("SharedEnergy_" + ref_[valType] + "2trackster_assoc",
1318                    "Shared Energy of " + refText_[valType] + " per best Trackster" + shSEnFr,
1319                    nintSharedEneFrac_,
1320                    minTSTSharedEneFrac_,
1321                    maxTSTSharedEneFrac_));
1322   histograms.h_sharedenergy_caloparticle2trackster_assoc_vs_eta[valType].push_back(ibook.bookProfile(
1323       "SharedEnergy_" + ref_[valType] + "2trackster_assoc_vs_eta",
1324       "Shared Energy of " + refText_[valType] + " vs #eta per best Trackster;" + refText_[valType] + " #eta" + shSEnFr,
1325       nintEta_,
1326       minEta_,
1327       maxEta_,
1328       minTSTSharedEneFrac_,
1329       maxTSTSharedEneFrac_));
1330   histograms.h_sharedenergy_caloparticle2trackster_assoc_vs_phi[valType].push_back(ibook.bookProfile(
1331       "SharedEnergy_" + ref_[valType] + "2trackster_assoc_vs_phi",
1332       "Shared Energy of " + refText_[valType] + " vs #phi per best Trackster;" + refText_[valType] + " #phi" + shSEnFr,
1333       nintPhi_,
1334       minPhi_,
1335       maxPhi_,
1336       minTSTSharedEneFrac_,
1337       maxTSTSharedEneFrac_));
1338   histograms.h_sharedenergy_caloparticle2trackster_assoc2[valType].push_back(
1339       ibook.book1D("SharedEnergy_" + ref_[valType] + "2trackster_assoc2",
1340                    "Shared Energy of " + refText_[valType] + " per 2^{nd} best Trackster;" + shSEnFr,
1341                    nintSharedEneFrac_,
1342                    minTSTSharedEneFrac_,
1343                    maxTSTSharedEneFrac_));
1344 
1345   // eta
1346   histograms.h_numEff_caloparticle_eta[valType].push_back(
1347       ibook.book1D("NumEff_" + ref_[valType] + "_Eta",
1348                    "Num Efficiency " + refText_[valType] + " Eta per Trackster;#eta",
1349                    nintEta_,
1350                    minEta_,
1351                    maxEta_));
1352   histograms.h_num_caloparticle_eta[valType].push_back(
1353       ibook.book1D("Num_" + ref_[valType] + "_Eta",
1354                    "Num Purity " + refText_[valType] + " Eta per Trackster;#eta",
1355                    nintEta_,
1356                    minEta_,
1357                    maxEta_));
1358   histograms.h_numDup_trackster_eta[valType].push_back(ibook.book1D(
1359       "NumDup_Trackster_Eta" + valSuffix_[valType], "Num Duplicate Trackster vs Eta;#eta", nintEta_, minEta_, maxEta_));
1360   histograms.h_denom_caloparticle_eta[valType].push_back(
1361       ibook.book1D("Denom_" + ref_[valType] + "_Eta",
1362                    "Denom " + refText_[valType] + " Eta per Trackster;#eta",
1363                    nintEta_,
1364                    minEta_,
1365                    maxEta_));
1366   // phi
1367   histograms.h_numEff_caloparticle_phi[valType].push_back(
1368       ibook.book1D("NumEff_" + ref_[valType] + "_Phi",
1369                    "Num Efficiency " + refText_[valType] + " Phi per Trackster;#phi",
1370                    nintPhi_,
1371                    minPhi_,
1372                    maxPhi_));
1373   histograms.h_num_caloparticle_phi[valType].push_back(
1374       ibook.book1D("Num_" + ref_[valType] + "_Phi",
1375                    "Num Purity " + refText_[valType] + " Phi per Trackster;#phi",
1376                    nintPhi_,
1377                    minPhi_,
1378                    maxPhi_));
1379   histograms.h_numDup_trackster_phi[valType].push_back(ibook.book1D(
1380       "NumDup_Trackster_Phi" + valSuffix_[valType], "Num Duplicate Trackster vs Phi;#phi", nintPhi_, minPhi_, maxPhi_));
1381   histograms.h_denom_caloparticle_phi[valType].push_back(
1382       ibook.book1D("Denom_" + ref_[valType] + "_Phi",
1383                    "Denom " + refText_[valType] + " Phi per Trackster;#phi",
1384                    nintPhi_,
1385                    minPhi_,
1386                    maxPhi_));
1387   // energy
1388   histograms.h_numEff_caloparticle_en[valType].push_back(
1389       ibook.book1D("NumEff_" + ref_[valType] + "_Energy",
1390                    "Num Efficiency " + refText_[valType] + " Energy per Trackster;energy [GeV]",
1391                    nintEne_,
1392                    minEne_,
1393                    maxEne_));
1394   histograms.h_num_caloparticle_en[valType].push_back(
1395       ibook.book1D("Num_" + ref_[valType] + "_Energy",
1396                    "Num Purity " + refText_[valType] + " Energy per Trackster;energy [GeV]",
1397                    nintEne_,
1398                    minEne_,
1399                    maxEne_));
1400   histograms.h_numDup_trackster_en[valType].push_back(ibook.book1D("NumDup_Trackster_Energy" + valSuffix_[valType],
1401                                                                    "Num Duplicate Trackster vs Energy;energy [GeV]",
1402                                                                    nintEne_,
1403                                                                    minEne_,
1404                                                                    maxEne_));
1405   histograms.h_denom_caloparticle_en[valType].push_back(
1406       ibook.book1D("Denom_" + ref_[valType] + "_Energy",
1407                    "Denom " + refText_[valType] + " Energy per Trackster;energy [GeV]",
1408                    nintEne_,
1409                    minEne_,
1410                    maxEne_));
1411   // pT
1412   histograms.h_numEff_caloparticle_pt[valType].push_back(
1413       ibook.book1D("NumEff_" + ref_[valType] + "_Pt",
1414                    "Num Efficiency " + refText_[valType] + " p_{T} per Trackster;p_{T} [GeV]",
1415                    nintPt_,
1416                    minPt_,
1417                    maxPt_));
1418   histograms.h_num_caloparticle_pt[valType].push_back(
1419       ibook.book1D("Num_" + ref_[valType] + "_Pt",
1420                    "Num Purity " + refText_[valType] + " p_{T} per Trackster;p_{T} [GeV]",
1421                    nintPt_,
1422                    minPt_,
1423                    maxPt_));
1424   histograms.h_numDup_trackster_pt[valType].push_back(ibook.book1D("NumDup_Trackster_Pt" + valSuffix_[valType],
1425                                                                    "Num Duplicate Trackster vs p_{T};p_{T} [GeV]",
1426                                                                    nintPt_,
1427                                                                    minPt_,
1428                                                                    maxPt_));
1429   histograms.h_denom_caloparticle_pt[valType].push_back(
1430       ibook.book1D("Denom_" + ref_[valType] + "_Pt",
1431                    "Denom " + refText_[valType] + " p_{T} per Trackster;p_{T} [GeV]",
1432                    nintPt_,
1433                    minPt_,
1434                    maxPt_));
1435 }
1436 
1437 void HGVHistoProducerAlgo::fill_info_histos(const Histograms& histograms, unsigned int layers) const {
1438   // Save some info straight from geometry to avoid mistakes from updates
1439   //----------- TODO ----------------------------------------------------------
1440   // For now values returned for 'lastLayerFHzp': '104', 'lastLayerFHzm': '52' are not the one expected.
1441   // Will come back to this when there will be info in CMSSW to put in DQM file.
1442   histograms.lastLayerEEzm->Fill(recHitTools_->lastLayerEE());
1443   histograms.lastLayerFHzm->Fill(recHitTools_->lastLayerFH());
1444   histograms.maxlayerzm->Fill(layers);
1445   histograms.lastLayerEEzp->Fill(recHitTools_->lastLayerEE() + layers);
1446   histograms.lastLayerFHzp->Fill(recHitTools_->lastLayerFH() + layers);
1447   histograms.maxlayerzp->Fill(layers + layers);
1448 }
1449 
1450 void HGVHistoProducerAlgo::fill_caloparticle_histos(const Histograms& histograms,
1451                                                     int pdgid,
1452                                                     const CaloParticle& caloParticle,
1453                                                     std::vector<SimVertex> const& simVertices,
1454                                                     unsigned int layers,
1455                                                     std::unordered_map<DetId, const unsigned int> const& hitMap,
1456                                                     MultiVectorManager<HGCRecHit> const& hits) const {
1457   const auto eta = getEta(caloParticle.eta());
1458   if (histograms.h_caloparticle_eta.count(pdgid)) {
1459     histograms.h_caloparticle_eta.at(pdgid)->Fill(eta);
1460   }
1461   if (histograms.h_caloparticle_eta_Zorigin.count(pdgid)) {
1462     histograms.h_caloparticle_eta_Zorigin.at(pdgid)->Fill(
1463         simVertices.at(caloParticle.g4Tracks()[0].vertIndex()).position().z(), eta);
1464   }
1465 
1466   if (histograms.h_caloparticle_energy.count(pdgid)) {
1467     histograms.h_caloparticle_energy.at(pdgid)->Fill(caloParticle.energy());
1468   }
1469   if (histograms.h_caloparticle_pt.count(pdgid)) {
1470     histograms.h_caloparticle_pt.at(pdgid)->Fill(caloParticle.pt());
1471   }
1472   if (histograms.h_caloparticle_phi.count(pdgid)) {
1473     histograms.h_caloparticle_phi.at(pdgid)->Fill(caloParticle.phi());
1474   }
1475 
1476   if (histograms.h_caloparticle_nSimClusters.count(pdgid)) {
1477     histograms.h_caloparticle_nSimClusters.at(pdgid)->Fill(caloParticle.simClusters().size());
1478 
1479     int simHits = 0;
1480     int minLayerId = 999;
1481     int maxLayerId = 0;
1482 
1483     int simHits_matched = 0;
1484     int minLayerId_matched = 999;
1485     int maxLayerId_matched = 0;
1486 
1487     float energy = 0.;
1488     std::map<int, double> totenergy_layer;
1489 
1490     float hitEnergyWeight_invSum = 0;
1491     std::vector<std::pair<DetId, float>> haf_cp;
1492     for (const auto& sc : caloParticle.simClusters()) {
1493       LogDebug("HGCalValidator") << " This sim cluster has " << sc->hits_and_fractions().size() << " simHits and "
1494                                  << sc->energy() << " energy. " << std::endl;
1495       simHits += sc->hits_and_fractions().size();
1496       for (auto const& h_and_f : sc->hits_and_fractions()) {
1497         const auto hitDetId = h_and_f.first;
1498         const int layerId =
1499             recHitTools_->getLayerWithOffset(hitDetId) + layers * ((recHitTools_->zside(hitDetId) + 1) >> 1) - 1;
1500         // set to 0 if matched RecHit not found
1501         int layerId_matched_min = 999;
1502         int layerId_matched_max = 0;
1503         std::unordered_map<DetId, const unsigned int>::const_iterator itcheck = hitMap.find(hitDetId);
1504         if (itcheck != hitMap.end()) {
1505           layerId_matched_min = layerId;
1506           layerId_matched_max = layerId;
1507           simHits_matched++;
1508 
1509           const auto hitEn = (hits[itcheck->second]).energy();
1510           hitEnergyWeight_invSum += pow(hitEn, 2);
1511           const auto hitFr = h_and_f.second;
1512           const auto hitEnFr = hitEn * hitFr;
1513           energy += hitEnFr;
1514           histograms.h_caloparticle_nHits_matched_energy.at(pdgid)->Fill(hitEnFr);
1515           histograms.h_caloparticle_nHits_matched_energy_layer.at(pdgid)->Fill(layerId, hitEnFr);
1516 
1517           if (totenergy_layer.find(layerId) != totenergy_layer.end()) {
1518             totenergy_layer[layerId] = totenergy_layer.at(layerId) + hitEn;
1519           } else {
1520             totenergy_layer.emplace(layerId, hitEn);
1521           }
1522           if (caloParticle.simClusters().size() == 1)
1523             histograms.h_caloparticle_nHits_matched_energy_layer_1SimCl.at(pdgid)->Fill(layerId, hitEnFr);
1524 
1525           auto found = std::find_if(std::begin(haf_cp),
1526                                     std::end(haf_cp),
1527                                     [&hitDetId](const std::pair<DetId, float>& v) { return v.first == hitDetId; });
1528           if (found != haf_cp.end())
1529             found->second += hitFr;
1530           else
1531             haf_cp.emplace_back(hitDetId, hitFr);
1532 
1533         } else {
1534           LogDebug("HGCalValidator") << "   matched to RecHit NOT found !" << std::endl;
1535         }
1536 
1537         minLayerId = std::min(minLayerId, layerId);
1538         maxLayerId = std::max(maxLayerId, layerId);
1539         minLayerId_matched = std::min(minLayerId_matched, layerId_matched_min);
1540         maxLayerId_matched = std::max(maxLayerId_matched, layerId_matched_max);
1541       }
1542       LogDebug("HGCalValidator") << std::endl;
1543     }  // End loop over SimClusters of CaloParticle
1544     if (hitEnergyWeight_invSum)
1545       hitEnergyWeight_invSum = 1 / hitEnergyWeight_invSum;
1546 
1547     histograms.h_caloparticle_firstlayer.at(pdgid)->Fill(minLayerId);
1548     histograms.h_caloparticle_lastlayer.at(pdgid)->Fill(maxLayerId);
1549     histograms.h_caloparticle_layersnum.at(pdgid)->Fill(int(maxLayerId - minLayerId));
1550 
1551     histograms.h_caloparticle_firstlayer_matchedtoRecHit.at(pdgid)->Fill(minLayerId_matched);
1552     histograms.h_caloparticle_lastlayer_matchedtoRecHit.at(pdgid)->Fill(maxLayerId_matched);
1553     histograms.h_caloparticle_layersnum_matchedtoRecHit.at(pdgid)->Fill(int(maxLayerId_matched - minLayerId_matched));
1554 
1555     histograms.h_caloparticle_nHitsInSimClusters.at(pdgid)->Fill((float)simHits);
1556     histograms.h_caloparticle_nHitsInSimClusters_matchedtoRecHit.at(pdgid)->Fill((float)simHits_matched);
1557     histograms.h_caloparticle_selfenergy.at(pdgid)->Fill((float)energy);
1558     histograms.h_caloparticle_energyDifference.at(pdgid)->Fill((float)1. - energy / caloParticle.energy());
1559 
1560     //Calculate sum energy per-layer
1561     auto i = totenergy_layer.begin();
1562     double sum_energy = 0.0;
1563     while (i != totenergy_layer.end()) {
1564       sum_energy += i->second;
1565       histograms.h_caloparticle_sum_energy_layer.at(pdgid)->Fill(i->first, sum_energy / caloParticle.energy() * 100.);
1566       i++;
1567     }
1568 
1569     for (auto const& haf : haf_cp) {
1570       const auto hitEn = (hits[hitMap.find(haf.first)->second]).energy();
1571       const auto weight = pow(hitEn, 2);
1572       histograms.h_caloparticle_fractions.at(pdgid)->Fill(haf.second, weight * hitEnergyWeight_invSum);
1573       histograms.h_caloparticle_fractions_weight.at(pdgid)->Fill(haf.second, weight * hitEnergyWeight_invSum, weight);
1574     }
1575   }
1576 }
1577 
1578 void HGVHistoProducerAlgo::HGVHistoProducerAlgo::fill_simCluster_histos(const Histograms& histograms,
1579                                                                         std::vector<SimCluster> const& simClusters,
1580                                                                         unsigned int layers,
1581                                                                         std::vector<int> thicknesses) const {
1582   //Each event to be treated as two events: an event in +ve endcap,
1583   //plus another event in -ve endcap. In this spirit there will be
1584   //a layer variable (layerid) that maps the layers in :
1585   //-z: 0->49
1586   //+z: 50->99
1587 
1588   //To keep track of total num of simClusters per layer
1589   //tnscpl[layerid]
1590   std::vector<int> tnscpl(1000, 0);  //tnscpl.clear(); tnscpl.reserve(1000);
1591 
1592   //To keep track of the total num of clusters per thickness in plus and in minus endcaps
1593   std::map<std::string, int> tnscpthplus;
1594   tnscpthplus.clear();
1595   std::map<std::string, int> tnscpthminus;
1596   tnscpthminus.clear();
1597   //At the beginning of the event all layers should be initialized to zero total clusters per thickness
1598   for (std::vector<int>::iterator it = thicknesses.begin(); it != thicknesses.end(); ++it) {
1599     tnscpthplus.insert(std::pair<std::string, int>(std::to_string(*it), 0));
1600     tnscpthminus.insert(std::pair<std::string, int>(std::to_string(*it), 0));
1601   }
1602   //To keep track of the total num of simClusters with mixed thickness hits per event
1603   tnscpthplus.insert(std::pair<std::string, int>("mixed", 0));
1604   tnscpthminus.insert(std::pair<std::string, int>("mixed", 0));
1605 
1606   //loop through simClusters
1607   for (const auto& sc : simClusters) {
1608     //Auxillary variables to count the number of different kind of hits in each simCluster
1609     int nthhits120p = 0;
1610     int nthhits200p = 0;
1611     int nthhits300p = 0;
1612     int nthhitsscintp = 0;
1613     int nthhits120m = 0;
1614     int nthhits200m = 0;
1615     int nthhits300m = 0;
1616     int nthhitsscintm = 0;
1617     //For the hits thickness of the layer cluster.
1618     double thickness = 0.;
1619     //To keep track if we added the simCluster in a specific layer
1620     std::vector<int> occurenceSCinlayer(1000, 0);  //[layerid][0 if not added]
1621 
1622     //loop through hits of the simCluster
1623     for (const auto& hAndF : sc.hits_and_fractions()) {
1624       const DetId sh_detid = hAndF.first;
1625 
1626       if (sh_detid.det() == DetId::Forward || sh_detid.det() == DetId::HGCalEE || sh_detid.det() == DetId::HGCalHSi ||
1627           sh_detid.det() == DetId::HGCalHSc) {
1628         //The layer the cluster belongs to. As mentioned in the mapping above, it takes into account -z and +z.
1629         int layerid =
1630             recHitTools_->getLayerWithOffset(sh_detid) + layers * ((recHitTools_->zside(sh_detid) + 1) >> 1) - 1;
1631         //zside that the current cluster belongs to.
1632         int zside = recHitTools_->zside(sh_detid);
1633 
1634         //add the simCluster to the relevant layer. A SimCluster may give contribution to several layers.
1635         if (occurenceSCinlayer[layerid] == 0) {
1636           tnscpl[layerid]++;
1637         }
1638         occurenceSCinlayer[layerid]++;
1639 
1640         if (sh_detid.det() == DetId::HGCalHSc)
1641           thickness = -1;
1642         else
1643           thickness = recHitTools_->getSiThickness(sh_detid);
1644 
1645         if ((thickness == 120.) && (zside > 0.)) {
1646           nthhits120p++;
1647         } else if ((thickness == 120.) && (zside < 0.)) {
1648           nthhits120m++;
1649         } else if ((thickness == 200.) && (zside > 0.)) {
1650           nthhits200p++;
1651         } else if ((thickness == 200.) && (zside < 0.)) {
1652           nthhits200m++;
1653         } else if ((thickness == 300.) && (zside > 0.)) {
1654           nthhits300p++;
1655         } else if ((thickness == 300.) && (zside < 0.)) {
1656           nthhits300m++;
1657         } else if ((thickness == -1) && (zside > 0.)) {
1658           nthhitsscintp++;
1659         } else if ((thickness == -1) && (zside < 0.)) {
1660           nthhitsscintm++;
1661         } else {  //assert(0);
1662           LogDebug("HGCalValidator")
1663               << " You are running a geometry that contains thicknesses different than the normal ones. "
1664               << "\n";
1665         }
1666       }
1667     }  //end of loop through hits
1668 
1669     //Check for simultaneously having hits of different kind. Checking at least two combinations is sufficient.
1670     if ((nthhits120p != 0 && nthhits200p != 0) || (nthhits120p != 0 && nthhits300p != 0) ||
1671         (nthhits120p != 0 && nthhitsscintp != 0) || (nthhits200p != 0 && nthhits300p != 0) ||
1672         (nthhits200p != 0 && nthhitsscintp != 0) || (nthhits300p != 0 && nthhitsscintp != 0)) {
1673       tnscpthplus["mixed"]++;
1674     } else if ((nthhits120p != 0 || nthhits200p != 0 || nthhits300p != 0 || nthhitsscintp != 0)) {
1675       //This is a cluster with hits of one kind
1676       tnscpthplus[std::to_string((int)thickness)]++;
1677     }
1678     if ((nthhits120m != 0 && nthhits200m != 0) || (nthhits120m != 0 && nthhits300m != 0) ||
1679         (nthhits120m != 0 && nthhitsscintm != 0) || (nthhits200m != 0 && nthhits300m != 0) ||
1680         (nthhits200m != 0 && nthhitsscintm != 0) || (nthhits300m != 0 && nthhitsscintm != 0)) {
1681       tnscpthminus["mixed"]++;
1682     } else if ((nthhits120m != 0 || nthhits200m != 0 || nthhits300m != 0 || nthhitsscintm != 0)) {
1683       //This is a cluster with hits of one kind
1684       tnscpthminus[std::to_string((int)thickness)]++;
1685     }
1686   }  //end of loop through SimClusters of the event
1687 
1688   //Per layer : Loop 0->99
1689   for (unsigned ilayer = 0; ilayer < layers * 2; ++ilayer)
1690     if (histograms.h_simclusternum_perlayer.count(ilayer))
1691       histograms.h_simclusternum_perlayer.at(ilayer)->Fill(tnscpl[ilayer]);
1692 
1693   //Per thickness
1694   for (std::vector<int>::iterator it = thicknesses.begin(); it != thicknesses.end(); ++it) {
1695     if (histograms.h_simclusternum_perthick.count(*it)) {
1696       histograms.h_simclusternum_perthick.at(*it)->Fill(tnscpthplus[std::to_string(*it)]);
1697       histograms.h_simclusternum_perthick.at(*it)->Fill(tnscpthminus[std::to_string(*it)]);
1698     }
1699   }
1700   //Mixed thickness clusters
1701   histograms.h_mixedhitssimcluster_zplus->Fill(tnscpthplus["mixed"]);
1702   histograms.h_mixedhitssimcluster_zminus->Fill(tnscpthminus["mixed"]);
1703 }
1704 
1705 void HGVHistoProducerAlgo::HGVHistoProducerAlgo::fill_simClusterAssociation_histos(
1706     const Histograms& histograms,
1707     const int count,
1708     edm::Handle<reco::CaloClusterCollection> clusterHandle,
1709     const reco::CaloClusterCollection& clusters,
1710     edm::Handle<std::vector<SimCluster>> simClusterHandle,
1711     std::vector<SimCluster> const& simClusters,
1712     std::vector<size_t> const& sCIndices,
1713     const std::vector<float>& mask,
1714     std::unordered_map<DetId, const unsigned int> const& hitMap,
1715     unsigned int layers,
1716     const ticl::RecoToSimCollectionWithSimClusters& scsInLayerClusterMap,
1717     const ticl::SimToRecoCollectionWithSimClusters& lcsInSimClusterMap,
1718     MultiVectorManager<HGCRecHit> const& hits) const {
1719   //Each event to be treated as two events: an event in +ve endcap,
1720   //plus another event in -ve endcap. In this spirit there will be
1721   //a layer variable (layerid) that maps the layers in :
1722   //-z: 0->49
1723   //+z: 50->99
1724 
1725   //Will add some general plots on the specific mask in the future.
1726 
1727   layerClusters_to_SimClusters(histograms,
1728                                count,
1729                                clusterHandle,
1730                                clusters,
1731                                simClusterHandle,
1732                                simClusters,
1733                                sCIndices,
1734                                mask,
1735                                hitMap,
1736                                layers,
1737                                scsInLayerClusterMap,
1738                                lcsInSimClusterMap,
1739                                hits);
1740 }
1741 
1742 void HGVHistoProducerAlgo::fill_cluster_histos(const Histograms& histograms,
1743                                                const int count,
1744                                                const reco::CaloCluster& cluster) const {
1745   const auto eta = getEta(cluster.eta());
1746   histograms.h_cluster_eta[count]->Fill(eta);
1747 }
1748 
1749 void HGVHistoProducerAlgo::layerClusters_to_CaloParticles(const Histograms& histograms,
1750                                                           edm::Handle<reco::CaloClusterCollection> clusterHandle,
1751                                                           const reco::CaloClusterCollection& clusters,
1752                                                           edm::Handle<std::vector<CaloParticle>> caloParticleHandle,
1753                                                           std::vector<CaloParticle> const& cP,
1754                                                           std::vector<size_t> const& cPIndices,
1755                                                           std::vector<size_t> const& cPSelectedIndices,
1756                                                           std::unordered_map<DetId, const unsigned int> const& hitMap,
1757                                                           unsigned int layers,
1758                                                           const ticl::RecoToSimCollection& cpsInLayerClusterMap,
1759                                                           const ticl::SimToRecoCollection& cPOnLayerMap,
1760                                                           MultiVectorManager<HGCRecHit> const& hits) const {
1761   const auto nLayerClusters = clusters.size();
1762 
1763   std::unordered_map<DetId, std::vector<HGVHistoProducerAlgo::detIdInfoInCluster>> detIdToCaloParticleId_Map;
1764   std::unordered_map<DetId, std::vector<HGVHistoProducerAlgo::detIdInfoInCluster>> detIdToLayerClusterId_Map;
1765 
1766   // The association has to be done in an all-vs-all fashion.
1767   // For this reason use the full set of CaloParticles, with the only filter on bx
1768   for (const auto& cpId : cPIndices) {
1769     for (const auto& simCluster : cP[cpId].simClusters()) {
1770       for (const auto& it_haf : simCluster->hits_and_fractions()) {
1771         const DetId hitid = (it_haf.first);
1772         if (hitMap.find(hitid) != hitMap.end()) {
1773           if (detIdToCaloParticleId_Map.find(hitid) == detIdToCaloParticleId_Map.end()) {
1774             detIdToCaloParticleId_Map[hitid] = std::vector<HGVHistoProducerAlgo::detIdInfoInCluster>();
1775             detIdToCaloParticleId_Map[hitid].emplace_back(
1776                 HGVHistoProducerAlgo::detIdInfoInCluster{cpId, it_haf.second});
1777           } else {
1778             auto findHitIt =
1779                 std::find(detIdToCaloParticleId_Map[hitid].begin(),
1780                           detIdToCaloParticleId_Map[hitid].end(),
1781                           HGVHistoProducerAlgo::detIdInfoInCluster{
1782                               cpId, 0.f});  // only the first element is used for the matching (overloaded operator==)
1783             if (findHitIt != detIdToCaloParticleId_Map[hitid].end())
1784               findHitIt->fraction += it_haf.second;
1785             else
1786               detIdToCaloParticleId_Map[hitid].emplace_back(
1787                   HGVHistoProducerAlgo::detIdInfoInCluster{cpId, it_haf.second});
1788           }
1789         }
1790       }
1791     }
1792   }
1793 
1794   for (unsigned int lcId = 0; lcId < nLayerClusters; ++lcId) {
1795     const auto& hits_and_fractions = clusters[lcId].hitsAndFractions();
1796     const auto numberOfHitsInLC = hits_and_fractions.size();
1797 
1798     // This vector will store, for each hit in the Layercluster, the index of
1799     // the CaloParticle that contributed the most, in terms of energy, to it.
1800     // Special values are:
1801     //
1802     // -2  --> the reconstruction fraction of the RecHit is 0 (used in the past to monitor Halo Hits)
1803     // -3  --> same as before with the added condition that no CaloParticle has been linked to this RecHit
1804     // -1  --> the reco fraction is >0, but no CaloParticle has been linked to it
1805     // >=0 --> index of the linked CaloParticle
1806     std::vector<int> hitsToCaloParticleId(numberOfHitsInLC);
1807     const auto firstHitDetId = hits_and_fractions[0].first;
1808     int lcLayerId =
1809         recHitTools_->getLayerWithOffset(firstHitDetId) + layers * ((recHitTools_->zside(firstHitDetId) + 1) >> 1) - 1;
1810 
1811     // This will store the fraction of the CaloParticle energy shared with the LayerCluster: e_shared/cp_energy
1812     std::unordered_map<unsigned, float> CPEnergyInLC;
1813 
1814     for (unsigned int iHit = 0; iHit < numberOfHitsInLC; iHit++) {
1815       const DetId rh_detid = hits_and_fractions[iHit].first;
1816       const auto rhFraction = hits_and_fractions[iHit].second;
1817 
1818       std::unordered_map<DetId, const unsigned int>::const_iterator itcheck = hitMap.find(rh_detid);
1819       const HGCRecHit* hit = &(hits[itcheck->second]);
1820 
1821       if (detIdToLayerClusterId_Map.find(rh_detid) == detIdToLayerClusterId_Map.end()) {
1822         detIdToLayerClusterId_Map[rh_detid] = std::vector<HGVHistoProducerAlgo::detIdInfoInCluster>();
1823       }
1824       detIdToLayerClusterId_Map[rh_detid].emplace_back(HGVHistoProducerAlgo::detIdInfoInCluster{lcId, rhFraction});
1825 
1826       const auto& hit_find_in_CP = detIdToCaloParticleId_Map.find(rh_detid);
1827 
1828       // if the fraction is zero or the hit does not belong to any calo
1829       // particle, set the caloparticleId for the hit to -1 this will
1830       // contribute to the number of noise hits
1831 
1832       // MR Remove the case in which the fraction is 0, since this could be a
1833       // real hit that has been marked as halo.
1834       if (rhFraction == 0.) {
1835         hitsToCaloParticleId[iHit] = -2;
1836       }
1837       if (hit_find_in_CP == detIdToCaloParticleId_Map.end()) {
1838         hitsToCaloParticleId[iHit] -= 1;
1839       } else {
1840         auto maxCPEnergyInLC = 0.f;
1841         auto maxCPId = -1;
1842         for (auto& h : hit_find_in_CP->second) {
1843           const auto iCP = h.clusterId;
1844           CPEnergyInLC[iCP] += h.fraction * hit->energy();
1845           // Keep track of which CaloParticle contributed the most, in terms
1846           // of energy, to this specific LayerCluster.
1847           if (CPEnergyInLC[iCP] > maxCPEnergyInLC) {
1848             maxCPEnergyInLC = CPEnergyInLC[iCP];
1849             maxCPId = iCP;
1850           }
1851         }
1852         hitsToCaloParticleId[iHit] = maxCPId;
1853       }
1854       histograms.h_cellAssociation_perlayer.at(lcLayerId)->Fill(
1855           hitsToCaloParticleId[iHit] > 0. ? 0. : hitsToCaloParticleId[iHit]);
1856     }  // End loop over hits on a LayerCluster
1857 
1858   }  // End of loop over LayerClusters
1859 
1860   // Fill the plots to compute the different metrics linked to
1861   // reco-level, namely fake-rate an merge-rate. In this loop should *not*
1862   // restrict only to the selected caloParaticles.
1863   for (unsigned int lcId = 0; lcId < nLayerClusters; ++lcId) {
1864     const auto firstHitDetId = (clusters[lcId].hitsAndFractions())[0].first;
1865     const int lcLayerId =
1866         recHitTools_->getLayerWithOffset(firstHitDetId) + layers * ((recHitTools_->zside(firstHitDetId) + 1) >> 1) - 1;
1867     histograms.h_denom_layercl_eta_perlayer.at(lcLayerId)->Fill(clusters[lcId].eta());
1868     histograms.h_denom_layercl_phi_perlayer.at(lcLayerId)->Fill(clusters[lcId].phi());
1869     //
1870     const edm::Ref<reco::CaloClusterCollection> lcRef(clusterHandle, lcId);
1871     const auto& cpsIt = cpsInLayerClusterMap.find(lcRef);
1872     if (cpsIt == cpsInLayerClusterMap.end())
1873       continue;
1874 
1875     const auto lc_en = clusters[lcId].energy();
1876     const auto& cps = cpsIt->val;
1877     if (lc_en == 0. && !cps.empty()) {
1878       for (const auto& cpPair : cps)
1879         histograms.h_score_layercl2caloparticle_perlayer.at(lcLayerId)->Fill(cpPair.second);
1880       continue;
1881     }
1882     for (const auto& cpPair : cps) {
1883       LogDebug("HGCalValidator") << "layerCluster Id: \t" << lcId << "\t CP id: \t" << cpPair.first.index()
1884                                  << "\t score \t" << cpPair.second << std::endl;
1885       histograms.h_score_layercl2caloparticle_perlayer.at(lcLayerId)->Fill(cpPair.second);
1886       auto const& cp_linked =
1887           std::find_if(std::begin(cPOnLayerMap[cpPair.first]),
1888                        std::end(cPOnLayerMap[cpPair.first]),
1889                        [&lcRef](const std::pair<edm::Ref<reco::CaloClusterCollection>, std::pair<float, float>>& p) {
1890                          return p.first == lcRef;
1891                        });
1892       if (cp_linked ==
1893           cPOnLayerMap[cpPair.first].end())  // This should never happen by construction of the association maps
1894         continue;
1895       histograms.h_sharedenergy_layercl2caloparticle_perlayer.at(lcLayerId)->Fill(cp_linked->second.first / lc_en,
1896                                                                                   lc_en);
1897       histograms.h_energy_vs_score_layercl2caloparticle_perlayer.at(lcLayerId)->Fill(cpPair.second,
1898                                                                                      cp_linked->second.first / lc_en);
1899     }
1900     const auto assoc =
1901         std::count_if(std::begin(cps), std::end(cps), [](const auto& obj) { return obj.second < ScoreCutLCtoCP_; });
1902     if (assoc) {
1903       histograms.h_num_layercl_eta_perlayer.at(lcLayerId)->Fill(clusters[lcId].eta());
1904       histograms.h_num_layercl_phi_perlayer.at(lcLayerId)->Fill(clusters[lcId].phi());
1905       if (assoc > 1) {
1906         histograms.h_numMerge_layercl_eta_perlayer.at(lcLayerId)->Fill(clusters[lcId].eta());
1907         histograms.h_numMerge_layercl_phi_perlayer.at(lcLayerId)->Fill(clusters[lcId].phi());
1908       }
1909       const auto& best = std::min_element(
1910           std::begin(cps), std::end(cps), [](const auto& obj1, const auto& obj2) { return obj1.second < obj2.second; });
1911       const auto& best_cp_linked =
1912           std::find_if(std::begin(cPOnLayerMap[best->first]),
1913                        std::end(cPOnLayerMap[best->first]),
1914                        [&lcRef](const std::pair<edm::Ref<reco::CaloClusterCollection>, std::pair<float, float>>& p) {
1915                          return p.first == lcRef;
1916                        });
1917       if (best_cp_linked ==
1918           cPOnLayerMap[best->first].end())  // This should never happen by construction of the association maps
1919         continue;
1920       histograms.h_sharedenergy_layercl2caloparticle_vs_eta_perlayer.at(lcLayerId)->Fill(
1921           clusters[lcId].eta(), best_cp_linked->second.first / lc_en);
1922       histograms.h_sharedenergy_layercl2caloparticle_vs_phi_perlayer.at(lcLayerId)->Fill(
1923           clusters[lcId].phi(), best_cp_linked->second.first / lc_en);
1924     }
1925   }  // End of loop over LayerClusters
1926 
1927   // Here Fill the plots to compute the different metrics linked to
1928   // gen-level, namely efficiency and duplicate. In this loop should restrict
1929   // only to the selected caloParaticles.
1930   for (const auto& cpId : cPSelectedIndices) {
1931     const edm::Ref<CaloParticleCollection> cpRef(caloParticleHandle, cpId);
1932     const auto& lcsIt = cPOnLayerMap.find(cpRef);
1933 
1934     std::map<unsigned int, float> cPEnergyOnLayer;
1935     for (unsigned int layerId = 0; layerId < layers * 2; ++layerId)
1936       cPEnergyOnLayer[layerId] = 0;
1937 
1938     for (const auto& simCluster : cP[cpId].simClusters()) {
1939       for (const auto& it_haf : simCluster->hits_and_fractions()) {
1940         const DetId hitid = (it_haf.first);
1941         const auto hitLayerId =
1942             recHitTools_->getLayerWithOffset(hitid) + layers * ((recHitTools_->zside(hitid) + 1) >> 1) - 1;
1943         std::unordered_map<DetId, const unsigned int>::const_iterator itcheck = hitMap.find(hitid);
1944         if (itcheck != hitMap.end()) {
1945           const HGCRecHit* hit = &(hits[itcheck->second]);
1946           cPEnergyOnLayer[hitLayerId] += it_haf.second * hit->energy();
1947         }
1948       }
1949     }
1950 
1951     for (unsigned int layerId = 0; layerId < layers * 2; ++layerId) {
1952       if (!cPEnergyOnLayer[layerId])
1953         continue;
1954 
1955       histograms.h_denom_caloparticle_eta_perlayer.at(layerId)->Fill(cP[cpId].g4Tracks()[0].momentum().eta());
1956       histograms.h_denom_caloparticle_phi_perlayer.at(layerId)->Fill(cP[cpId].g4Tracks()[0].momentum().phi());
1957 
1958       if (lcsIt == cPOnLayerMap.end())
1959         continue;
1960       const auto& lcs = lcsIt->val;
1961 
1962       auto getLCLayerId = [&](const unsigned int lcId) {
1963         const auto firstHitDetId = (clusters[lcId].hitsAndFractions())[0].first;
1964         const auto lcLayerId = recHitTools_->getLayerWithOffset(firstHitDetId) +
1965                                layers * ((recHitTools_->zside(firstHitDetId) + 1) >> 1) - 1;
1966         return lcLayerId;
1967       };
1968 
1969       for (const auto& lcPair : lcs) {
1970         if (getLCLayerId(lcPair.first.index()) != layerId)
1971           continue;
1972         histograms.h_score_caloparticle2layercl_perlayer.at(layerId)->Fill(lcPair.second.second);
1973         histograms.h_sharedenergy_caloparticle2layercl_perlayer.at(layerId)->Fill(
1974             lcPair.second.first / cPEnergyOnLayer[layerId], cPEnergyOnLayer[layerId]);
1975         histograms.h_energy_vs_score_caloparticle2layercl_perlayer.at(layerId)->Fill(
1976             lcPair.second.second, lcPair.second.first / cPEnergyOnLayer[layerId]);
1977       }
1978       const auto assoc = std::count_if(std::begin(lcs), std::end(lcs), [&](const auto& obj) {
1979         if (getLCLayerId(obj.first.index()) != layerId)
1980           return false;
1981         else
1982           return obj.second.second < ScoreCutCPtoLC_;
1983       });
1984       if (assoc) {
1985         histograms.h_num_caloparticle_eta_perlayer.at(layerId)->Fill(cP[cpId].g4Tracks()[0].momentum().eta());
1986         histograms.h_num_caloparticle_phi_perlayer.at(layerId)->Fill(cP[cpId].g4Tracks()[0].momentum().phi());
1987         if (assoc > 1) {
1988           histograms.h_numDup_caloparticle_eta_perlayer.at(layerId)->Fill(cP[cpId].g4Tracks()[0].momentum().eta());
1989           histograms.h_numDup_caloparticle_phi_perlayer.at(layerId)->Fill(cP[cpId].g4Tracks()[0].momentum().phi());
1990         }
1991         const auto best = std::min_element(std::begin(lcs), std::end(lcs), [&](const auto& obj1, const auto& obj2) {
1992           if (getLCLayerId(obj1.first.index()) != layerId)
1993             return false;
1994           else if (getLCLayerId(obj2.first.index()) == layerId)
1995             return obj1.second.second < obj2.second.second;
1996           else
1997             return true;
1998         });
1999         histograms.h_sharedenergy_caloparticle2layercl_vs_eta_perlayer.at(layerId)->Fill(
2000             cP[cpId].g4Tracks()[0].momentum().eta(), best->second.first / cPEnergyOnLayer[layerId]);
2001         histograms.h_sharedenergy_caloparticle2layercl_vs_phi_perlayer.at(layerId)->Fill(
2002             cP[cpId].g4Tracks()[0].momentum().phi(), best->second.first / cPEnergyOnLayer[layerId]);
2003       }
2004     }
2005   }
2006 }
2007 
2008 void HGVHistoProducerAlgo::layerClusters_to_SimClusters(
2009     const Histograms& histograms,
2010     const int count,
2011     edm::Handle<reco::CaloClusterCollection> clusterHandle,
2012     const reco::CaloClusterCollection& clusters,
2013     edm::Handle<std::vector<SimCluster>> simClusterHandle,
2014     std::vector<SimCluster> const& sC,
2015     std::vector<size_t> const& sCIndices,
2016     const std::vector<float>& mask,
2017     std::unordered_map<DetId, const unsigned int> const& hitMap,
2018     unsigned int layers,
2019     const ticl::RecoToSimCollectionWithSimClusters& scsInLayerClusterMap,
2020     const ticl::SimToRecoCollectionWithSimClusters& lcsInSimClusterMap,
2021     MultiVectorManager<HGCRecHit> const& hits) const {
2022   // Here fill the plots to compute the different metrics linked to
2023   // reco-level, namely fake-rate and merge-rate. In this loop should *not*
2024   // restrict only to the selected SimClusters.
2025   for (unsigned int lcId = 0; lcId < clusters.size(); ++lcId) {
2026     if (mask[lcId] != 0.) {
2027       LogDebug("HGCalValidator") << "Skipping layer cluster " << lcId << " not belonging to mask" << std::endl;
2028       continue;
2029     }
2030     const auto firstHitDetId = (clusters[lcId].hitsAndFractions())[0].first;
2031     const auto lcLayerId =
2032         recHitTools_->getLayerWithOffset(firstHitDetId) + layers * ((recHitTools_->zside(firstHitDetId) + 1) >> 1) - 1;
2033     //Although the ones below are already created in the LC to CP association, will
2034     //recreate them here since in the post processor it looks in a specific directory.
2035     histograms.h_denom_layercl_in_simcl_eta_perlayer[count].at(lcLayerId)->Fill(clusters[lcId].eta());
2036     histograms.h_denom_layercl_in_simcl_phi_perlayer[count].at(lcLayerId)->Fill(clusters[lcId].phi());
2037     //
2038     const edm::Ref<reco::CaloClusterCollection> lcRef(clusterHandle, lcId);
2039     const auto& scsIt = scsInLayerClusterMap.find(lcRef);
2040     if (scsIt == scsInLayerClusterMap.end())
2041       continue;
2042 
2043     const auto lc_en = clusters[lcId].energy();
2044     const auto& scs = scsIt->val;
2045     // If a reconstructed LayerCluster has energy 0 but is linked to at least a
2046     // SimCluster, then his score should be 1 as set in the associator
2047     if (lc_en == 0. && !scs.empty()) {
2048       for (const auto& scPair : scs) {
2049         histograms.h_score_layercl2simcluster_perlayer[count].at(lcLayerId)->Fill(scPair.second);
2050       }
2051       continue;
2052     }
2053     //Loop through all SimClusters linked to the layer cluster under study
2054     for (const auto& scPair : scs) {
2055       LogDebug("HGCalValidator") << "layerCluster Id: \t" << lcId << "\t SC id: \t" << scPair.first.index()
2056                                  << "\t score \t" << scPair.second << std::endl;
2057       //This should be filled #layerClusters in layer x #linked SimClusters
2058       histograms.h_score_layercl2simcluster_perlayer[count].at(lcLayerId)->Fill(scPair.second);
2059       auto const& sc_linked =
2060           std::find_if(std::begin(lcsInSimClusterMap[scPair.first]),
2061                        std::end(lcsInSimClusterMap[scPair.first]),
2062                        [&lcRef](const std::pair<edm::Ref<reco::CaloClusterCollection>, std::pair<float, float>>& p) {
2063                          return p.first == lcRef;
2064                        });
2065       if (sc_linked ==
2066           lcsInSimClusterMap[scPair.first].end())  // This should never happen by construction of the association maps
2067         continue;
2068       histograms.h_sharedenergy_layercl2simcluster_perlayer[count].at(lcLayerId)->Fill(sc_linked->second.first / lc_en,
2069                                                                                        lc_en);
2070       histograms.h_energy_vs_score_layercl2simcluster_perlayer[count].at(lcLayerId)->Fill(
2071           scPair.second, sc_linked->second.first / lc_en);
2072     }
2073     //Here he counts how many of the linked SimClusters of the layer cluster under study have a score above a certain value.
2074     const auto assoc =
2075         std::count_if(std::begin(scs), std::end(scs), [](const auto& obj) { return obj.second < ScoreCutLCtoSC_; });
2076     if (assoc) {
2077       histograms.h_num_layercl_in_simcl_eta_perlayer[count].at(lcLayerId)->Fill(clusters[lcId].eta());
2078       histograms.h_num_layercl_in_simcl_phi_perlayer[count].at(lcLayerId)->Fill(clusters[lcId].phi());
2079       if (assoc > 1) {
2080         histograms.h_numMerge_layercl_in_simcl_eta_perlayer[count].at(lcLayerId)->Fill(clusters[lcId].eta());
2081         histograms.h_numMerge_layercl_in_simcl_phi_perlayer[count].at(lcLayerId)->Fill(clusters[lcId].phi());
2082       }
2083       const auto& best = std::min_element(
2084           std::begin(scs), std::end(scs), [](const auto& obj1, const auto& obj2) { return obj1.second < obj2.second; });
2085       //From all SimClusters he founds the one with the best (lowest) score and takes his scId
2086       const auto& best_sc_linked =
2087           std::find_if(std::begin(lcsInSimClusterMap[best->first]),
2088                        std::end(lcsInSimClusterMap[best->first]),
2089                        [&lcRef](const std::pair<edm::Ref<reco::CaloClusterCollection>, std::pair<float, float>>& p) {
2090                          return p.first == lcRef;
2091                        });
2092       if (best_sc_linked ==
2093           lcsInSimClusterMap[best->first].end())  // This should never happen by construction of the association maps
2094         continue;
2095       histograms.h_sharedenergy_layercl2simcluster_vs_eta_perlayer[count].at(lcLayerId)->Fill(
2096           clusters[lcId].eta(), best_sc_linked->second.first / lc_en);
2097       histograms.h_sharedenergy_layercl2simcluster_vs_phi_perlayer[count].at(lcLayerId)->Fill(
2098           clusters[lcId].phi(), best_sc_linked->second.first / lc_en);
2099     }
2100   }  // End of loop over LayerClusters
2101 
2102   // Fill the plots to compute the different metrics linked to
2103   // gen-level, namely efficiency and duplicate. In this loop should restrict
2104   // only to the selected SimClusters.
2105   for (const auto& scId : sCIndices) {
2106     const edm::Ref<SimClusterCollection> scRef(simClusterHandle, scId);
2107     const auto& lcsIt = lcsInSimClusterMap.find(scRef);
2108 
2109     std::map<unsigned int, float> sCEnergyOnLayer;
2110     for (unsigned int layerId = 0; layerId < layers * 2; ++layerId)
2111       sCEnergyOnLayer[layerId] = 0;
2112 
2113     for (const auto& it_haf : sC[scId].hits_and_fractions()) {
2114       const DetId hitid = (it_haf.first);
2115       const auto scLayerId =
2116           recHitTools_->getLayerWithOffset(hitid) + layers * ((recHitTools_->zside(hitid) + 1) >> 1) - 1;
2117       std::unordered_map<DetId, const unsigned int>::const_iterator itcheck = hitMap.find(hitid);
2118       if (itcheck != hitMap.end()) {
2119         const HGCRecHit* hit = &(hits[itcheck->second]);
2120         sCEnergyOnLayer[scLayerId] += it_haf.second * hit->energy();
2121       }
2122     }
2123 
2124     for (unsigned int layerId = 0; layerId < layers * 2; ++layerId) {
2125       if (!sCEnergyOnLayer[layerId])
2126         continue;
2127 
2128       histograms.h_denom_simcluster_eta_perlayer[count].at(layerId)->Fill(sC[scId].eta());
2129       histograms.h_denom_simcluster_phi_perlayer[count].at(layerId)->Fill(sC[scId].phi());
2130 
2131       if (lcsIt == lcsInSimClusterMap.end())
2132         continue;
2133       const auto& lcs = lcsIt->val;
2134 
2135       auto getLCLayerId = [&](const unsigned int lcId) {
2136         const auto firstHitDetId = (clusters[lcId].hitsAndFractions())[0].first;
2137         const unsigned int lcLayerId = recHitTools_->getLayerWithOffset(firstHitDetId) +
2138                                        layers * ((recHitTools_->zside(firstHitDetId) + 1) >> 1) - 1;
2139         return lcLayerId;
2140       };
2141 
2142       //Loop through layer clusters linked to the SimCluster under study
2143       for (const auto& lcPair : lcs) {
2144         auto lcId = lcPair.first.index();
2145         if (mask[lcId] != 0.) {
2146           LogDebug("HGCalValidator") << "Skipping layer cluster " << lcId << " not belonging to mask" << std::endl;
2147           continue;
2148         }
2149 
2150         if (getLCLayerId(lcId) != layerId)
2151           continue;
2152         histograms.h_score_simcluster2layercl_perlayer[count].at(layerId)->Fill(lcPair.second.second);
2153         histograms.h_sharedenergy_simcluster2layercl_perlayer[count].at(layerId)->Fill(
2154             lcPair.second.first / sCEnergyOnLayer[layerId], sCEnergyOnLayer[layerId]);
2155         histograms.h_energy_vs_score_simcluster2layercl_perlayer[count].at(layerId)->Fill(
2156             lcPair.second.second, lcPair.second.first / sCEnergyOnLayer[layerId]);
2157       }
2158       const auto assoc = std::count_if(std::begin(lcs), std::end(lcs), [&](const auto& obj) {
2159         if (getLCLayerId(obj.first.index()) != layerId)
2160           return false;
2161         else
2162           return obj.second.second < ScoreCutSCtoLC_;
2163       });
2164       if (assoc) {
2165         histograms.h_num_simcluster_eta_perlayer[count].at(layerId)->Fill(sC[scId].eta());
2166         histograms.h_num_simcluster_phi_perlayer[count].at(layerId)->Fill(sC[scId].phi());
2167         if (assoc > 1) {
2168           histograms.h_numDup_simcluster_eta_perlayer[count].at(layerId)->Fill(sC[scId].eta());
2169           histograms.h_numDup_simcluster_phi_perlayer[count].at(layerId)->Fill(sC[scId].phi());
2170         }
2171         const auto best = std::min_element(std::begin(lcs), std::end(lcs), [&](const auto& obj1, const auto& obj2) {
2172           if (getLCLayerId(obj1.first.index()) != layerId)
2173             return false;
2174           else if (getLCLayerId(obj2.first.index()) == layerId)
2175             return obj1.second.second < obj2.second.second;
2176           else
2177             return true;
2178         });
2179         histograms.h_sharedenergy_simcluster2layercl_vs_eta_perlayer[count].at(layerId)->Fill(
2180             sC[scId].eta(), best->second.first / sCEnergyOnLayer[layerId]);
2181         histograms.h_sharedenergy_simcluster2layercl_vs_phi_perlayer[count].at(layerId)->Fill(
2182             sC[scId].phi(), best->second.first / sCEnergyOnLayer[layerId]);
2183       }
2184     }
2185   }
2186 }
2187 
2188 void HGVHistoProducerAlgo::fill_generic_cluster_histos(const Histograms& histograms,
2189                                                        const int count,
2190                                                        edm::Handle<reco::CaloClusterCollection> clusterHandle,
2191                                                        const reco::CaloClusterCollection& clusters,
2192                                                        edm::Handle<std::vector<CaloParticle>> caloParticleHandle,
2193                                                        std::vector<CaloParticle> const& cP,
2194                                                        std::vector<size_t> const& cPIndices,
2195                                                        std::vector<size_t> const& cPSelectedIndices,
2196                                                        std::unordered_map<DetId, const unsigned int> const& hitMap,
2197                                                        std::map<double, double> cummatbudg,
2198                                                        unsigned int layers,
2199                                                        std::vector<int> thicknesses,
2200                                                        const ticl::RecoToSimCollection& cpsInLayerClusterMap,
2201                                                        const ticl::SimToRecoCollection& cPOnLayerMap,
2202                                                        MultiVectorManager<HGCRecHit> const& hits) const {
2203   //Each event to be treated as two events: an event in +ve endcap,
2204   //plus another event in -ve endcap. In this spirit there will be
2205   //a layer variable (layerid) that maps the layers in :
2206   //-z: 0->51
2207   //+z: 52->103
2208 
2209   //To keep track of total num of layer clusters per layer
2210   //tnlcpl[layerid]
2211   std::vector<int> tnlcpl(1000, 0);  //tnlcpl.clear(); tnlcpl.reserve(1000);
2212 
2213   //To keep track of the total num of clusters per thickness in plus and in minus endcaps
2214   std::map<std::string, int> tnlcpthplus;
2215   tnlcpthplus.clear();
2216   std::map<std::string, int> tnlcpthminus;
2217   tnlcpthminus.clear();
2218   //At the beginning of the event all layers should be initialized to zero total clusters per thickness
2219   for (std::vector<int>::iterator it = thicknesses.begin(); it != thicknesses.end(); ++it) {
2220     tnlcpthplus.insert(std::pair<std::string, int>(std::to_string(*it), 0));
2221     tnlcpthminus.insert(std::pair<std::string, int>(std::to_string(*it), 0));
2222   }
2223   //To keep track of the total num of clusters with mixed thickness hits per event
2224   tnlcpthplus.insert(std::pair<std::string, int>("mixed", 0));
2225   tnlcpthminus.insert(std::pair<std::string, int>("mixed", 0));
2226 
2227   layerClusters_to_CaloParticles(histograms,
2228                                  clusterHandle,
2229                                  clusters,
2230                                  caloParticleHandle,
2231                                  cP,
2232                                  cPIndices,
2233                                  cPSelectedIndices,
2234                                  hitMap,
2235                                  layers,
2236                                  cpsInLayerClusterMap,
2237                                  cPOnLayerMap,
2238                                  hits);
2239 
2240   //To find out the total amount of energy clustered per layer
2241   //Initialize with zeros because I see clear gives weird numbers.
2242   std::vector<double> tecpl(1000, 0.0);  //tecpl.clear(); tecpl.reserve(1000);
2243   //for the longitudinal depth barycenter
2244   std::vector<double> ldbar(1000, 0.0);  //ldbar.clear(); ldbar.reserve(1000);
2245 
2246   // Need to compare with the total amount of energy coming from CaloParticles
2247   double caloparteneplus = 0.;
2248   double caloparteneminus = 0.;
2249   for (const auto& cpId : cPIndices) {
2250     if (cP[cpId].eta() >= 0.) {
2251       caloparteneplus = caloparteneplus + cP[cpId].energy();
2252     } else if (cP[cpId].eta() < 0.) {
2253       caloparteneminus = caloparteneminus + cP[cpId].energy();
2254     }
2255   }
2256 
2257   // loop through clusters of the event
2258   for (const auto& lcId : clusters) {
2259     const auto seedid = lcId.seed();
2260     const double seedx = recHitTools_->getPosition(seedid).x();
2261     const double seedy = recHitTools_->getPosition(seedid).y();
2262     DetId maxid = findmaxhit(lcId, hitMap, hits);
2263 
2264     // const DetId maxid = lcId.max();
2265     double maxx = recHitTools_->getPosition(maxid).x();
2266     double maxy = recHitTools_->getPosition(maxid).y();
2267 
2268     //Auxillary variables to count the number of different kind of hits in each cluster
2269     int nthhits120p = 0;
2270     int nthhits200p = 0;
2271     int nthhits300p = 0;
2272     int nthhitsscintp = 0;
2273     int nthhits120m = 0;
2274     int nthhits200m = 0;
2275     int nthhits300m = 0;
2276     int nthhitsscintm = 0;
2277     //For the hits thickness of the layer cluster.
2278     double thickness = 0.;
2279     //The layer the cluster belongs to. As mentioned in the mapping above, it takes into account -z and +z.
2280     int layerid = 0;
2281     // Need another layer variable for the longitudinal material budget file reading.
2282     //In this case need no distinction between -z and +z.
2283     int lay = 0;
2284     // Need to save the combination thick_lay
2285     std::string istr = "";
2286     //boolean to check for the layer that the cluster belong to. Maybe later will check all the layer hits.
2287     bool cluslay = true;
2288     //zside that the current cluster belongs to.
2289     int zside = 0;
2290 
2291     const auto& hits_and_fractions = lcId.hitsAndFractions();
2292     for (std::vector<std::pair<DetId, float>>::const_iterator it_haf = hits_and_fractions.begin();
2293          it_haf != hits_and_fractions.end();
2294          ++it_haf) {
2295       const DetId rh_detid = it_haf->first;
2296       //The layer that the current hit belongs to
2297       layerid = recHitTools_->getLayerWithOffset(rh_detid) + layers * ((recHitTools_->zside(rh_detid) + 1) >> 1) - 1;
2298       lay = recHitTools_->getLayerWithOffset(rh_detid);
2299       zside = recHitTools_->zside(rh_detid);
2300       if (rh_detid.det() == DetId::Forward || rh_detid.det() == DetId::HGCalEE || rh_detid.det() == DetId::HGCalHSi) {
2301         thickness = recHitTools_->getSiThickness(rh_detid);
2302       } else if (rh_detid.det() == DetId::HGCalHSc) {
2303         thickness = -1;
2304       } else {
2305         LogDebug("HGCalValidator") << "These are HGCal layer clusters, you shouldn't be here !!! " << layerid << "\n";
2306         continue;
2307       }
2308 
2309       //Count here only once the layer cluster and save the combination thick_layerid
2310       std::string curistr = std::to_string((int)thickness);
2311       std::string lay_string = std::to_string(layerid);
2312       while (lay_string.size() < 2)
2313         lay_string.insert(0, "0");
2314       curistr += "_" + lay_string;
2315       if (cluslay) {
2316         tnlcpl[layerid]++;
2317         istr = curistr;
2318         cluslay = false;
2319       }
2320 
2321       if ((thickness == 120.) && (recHitTools_->zside(rh_detid) > 0.)) {
2322         nthhits120p++;
2323       } else if ((thickness == 120.) && (recHitTools_->zside(rh_detid) < 0.)) {
2324         nthhits120m++;
2325       } else if ((thickness == 200.) && (recHitTools_->zside(rh_detid) > 0.)) {
2326         nthhits200p++;
2327       } else if ((thickness == 200.) && (recHitTools_->zside(rh_detid) < 0.)) {
2328         nthhits200m++;
2329       } else if ((thickness == 300.) && (recHitTools_->zside(rh_detid) > 0.)) {
2330         nthhits300p++;
2331       } else if ((thickness == 300.) && (recHitTools_->zside(rh_detid) < 0.)) {
2332         nthhits300m++;
2333       } else if ((thickness == -1) && (recHitTools_->zside(rh_detid) > 0.)) {
2334         nthhitsscintp++;
2335       } else if ((thickness == -1) && (recHitTools_->zside(rh_detid) < 0.)) {
2336         nthhitsscintm++;
2337       } else {  //assert(0);
2338         LogDebug("HGCalValidator")
2339             << " You are running a geometry that contains thicknesses different than the normal ones. "
2340             << "\n";
2341       }
2342 
2343       std::unordered_map<DetId, const unsigned int>::const_iterator itcheck = hitMap.find(rh_detid);
2344       if (itcheck == hitMap.end()) {
2345         std::ostringstream st1;
2346         if ((rh_detid.det() == DetId::HGCalEE) || (rh_detid.det() == DetId::HGCalHSi)) {
2347           st1 << HGCSiliconDetId(rh_detid);
2348         } else if (rh_detid.det() == DetId::HGCalHSc) {
2349           st1 << HGCScintillatorDetId(rh_detid);
2350         } else {
2351           st1 << HFNoseDetId(rh_detid);
2352         }
2353         LogDebug("HGCalValidator") << " You shouldn't be here - Unable to find a hit " << rh_detid.rawId() << " "
2354                                    << rh_detid.det() << " " << st1.str() << "\n";
2355         continue;
2356       }
2357 
2358       const HGCRecHit* hit = &(hits[itcheck->second]);
2359       //Here for the per cell plots
2360       //----
2361       const double hit_x = recHitTools_->getPosition(rh_detid).x();
2362       const double hit_y = recHitTools_->getPosition(rh_detid).y();
2363       double distancetoseed = distance(seedx, seedy, hit_x, hit_y);
2364       double distancetomax = distance(maxx, maxy, hit_x, hit_y);
2365       if (distancetoseed != 0. && histograms.h_distancetoseedcell_perthickperlayer.count(curistr)) {
2366         histograms.h_distancetoseedcell_perthickperlayer.at(curistr)->Fill(distancetoseed);
2367       }
2368       //----
2369       if (distancetoseed != 0. && histograms.h_distancetoseedcell_perthickperlayer_eneweighted.count(curistr)) {
2370         histograms.h_distancetoseedcell_perthickperlayer_eneweighted.at(curistr)->Fill(distancetoseed, hit->energy());
2371       }
2372       //----
2373       if (distancetomax != 0. && histograms.h_distancetomaxcell_perthickperlayer.count(curistr)) {
2374         histograms.h_distancetomaxcell_perthickperlayer.at(curistr)->Fill(distancetomax);
2375       }
2376       //----
2377       if (distancetomax != 0. && histograms.h_distancetomaxcell_perthickperlayer_eneweighted.count(curistr)) {
2378         histograms.h_distancetomaxcell_perthickperlayer_eneweighted.at(curistr)->Fill(distancetomax, hit->energy());
2379       }
2380 
2381     }  // end of loop through hits and fractions
2382 
2383     //Check for simultaneously having hits of different kind. Checking at least two combinations is sufficient.
2384     if ((nthhits120p != 0 && nthhits200p != 0) || (nthhits120p != 0 && nthhits300p != 0) ||
2385         (nthhits120p != 0 && nthhitsscintp != 0) || (nthhits200p != 0 && nthhits300p != 0) ||
2386         (nthhits200p != 0 && nthhitsscintp != 0) || (nthhits300p != 0 && nthhitsscintp != 0)) {
2387       tnlcpthplus["mixed"]++;
2388     } else if ((nthhits120p != 0 || nthhits200p != 0 || nthhits300p != 0 || nthhitsscintp != 0)) {
2389       //This is a cluster with hits of one kind
2390       tnlcpthplus[std::to_string((int)thickness)]++;
2391     }
2392     if ((nthhits120m != 0 && nthhits200m != 0) || (nthhits120m != 0 && nthhits300m != 0) ||
2393         (nthhits120m != 0 && nthhitsscintm != 0) || (nthhits200m != 0 && nthhits300m != 0) ||
2394         (nthhits200m != 0 && nthhitsscintm != 0) || (nthhits300m != 0 && nthhitsscintm != 0)) {
2395       tnlcpthminus["mixed"]++;
2396     } else if ((nthhits120m != 0 || nthhits200m != 0 || nthhits300m != 0 || nthhitsscintm != 0)) {
2397       //This is a cluster with hits of one kind
2398       tnlcpthminus[std::to_string((int)thickness)]++;
2399     }
2400 
2401     //To find the thickness with the biggest amount of cells
2402     std::vector<int> bigamoth;
2403     bigamoth.clear();
2404     if (zside > 0) {
2405       bigamoth.push_back(nthhits120p);
2406       bigamoth.push_back(nthhits200p);
2407       bigamoth.push_back(nthhits300p);
2408       bigamoth.push_back(nthhitsscintp);
2409     } else if (zside < 0) {
2410       bigamoth.push_back(nthhits120m);
2411       bigamoth.push_back(nthhits200m);
2412       bigamoth.push_back(nthhits300m);
2413       bigamoth.push_back(nthhitsscintm);
2414     }
2415     auto bgth = std::max_element(bigamoth.begin(), bigamoth.end());
2416     istr = std::to_string(thicknesses[std::distance(bigamoth.begin(), bgth)]);
2417     std::string lay_string = std::to_string(layerid);
2418     while (lay_string.size() < 2)
2419       lay_string.insert(0, "0");
2420     istr += "_" + lay_string;
2421 
2422     //Here for the per cluster plots that need the thickness_layer info
2423     if (histograms.h_cellsnum_perthickperlayer.count(istr)) {
2424       histograms.h_cellsnum_perthickperlayer.at(istr)->Fill(hits_and_fractions.size());
2425     }
2426 
2427     //Now, with the distance between seed and max cell.
2428     double distancebetseedandmax = distance(seedx, seedy, maxx, maxy);
2429     //The thickness_layer combination in this case will use the thickness of the seed as a convention.
2430     std::string seedstr = std::to_string((int)recHitTools_->getSiThickness(seedid)) + "_" + std::to_string(layerid);
2431     seedstr += "_" + lay_string;
2432     if (histograms.h_distancebetseedandmaxcell_perthickperlayer.count(seedstr)) {
2433       histograms.h_distancebetseedandmaxcell_perthickperlayer.at(seedstr)->Fill(distancebetseedandmax);
2434     }
2435     const auto lc_en = lcId.energy();
2436     if (histograms.h_distancebetseedandmaxcellvsclusterenergy_perthickperlayer.count(seedstr)) {
2437       histograms.h_distancebetseedandmaxcellvsclusterenergy_perthickperlayer.at(seedstr)->Fill(distancebetseedandmax,
2438                                                                                                lc_en);
2439     }
2440 
2441     //Energy clustered per layer
2442     tecpl[layerid] = tecpl[layerid] + lc_en;
2443     ldbar[layerid] = ldbar[layerid] + lc_en * cummatbudg[(double)lay];
2444 
2445   }  //end of loop through clusters of the event
2446 
2447   // First a couple of variables to keep the sum of the energy of all clusters
2448   double sumeneallcluspl = 0.;
2449   double sumeneallclusmi = 0.;
2450   // and the longitudinal variable
2451   double sumldbarpl = 0.;
2452   double sumldbarmi = 0.;
2453   //Per layer : Loop 0->103
2454   for (unsigned ilayer = 0; ilayer < layers * 2; ++ilayer) {
2455     if (histograms.h_clusternum_perlayer.count(ilayer)) {
2456       histograms.h_clusternum_perlayer.at(ilayer)->Fill(tnlcpl[ilayer]);
2457     }
2458     // Two times one for plus and one for minus
2459     //First with the -z endcap
2460     if (ilayer < layers) {
2461       if (histograms.h_energyclustered_perlayer.count(ilayer)) {
2462         if (caloparteneminus != 0.) {
2463           histograms.h_energyclustered_perlayer.at(ilayer)->Fill(100. * tecpl[ilayer] / caloparteneminus);
2464         }
2465       }
2466       //Keep here the total energy for the event in -z
2467       sumeneallclusmi = sumeneallclusmi + tecpl[ilayer];
2468       //And for the longitudinal variable
2469       sumldbarmi = sumldbarmi + ldbar[ilayer];
2470     } else {  //Then for the +z
2471       if (histograms.h_energyclustered_perlayer.count(ilayer)) {
2472         if (caloparteneplus != 0.) {
2473           histograms.h_energyclustered_perlayer.at(ilayer)->Fill(100. * tecpl[ilayer] / caloparteneplus);
2474         }
2475       }
2476       //Keep here the total energy for the event in -z
2477       sumeneallcluspl = sumeneallcluspl + tecpl[ilayer];
2478       //And for the longitudinal variable
2479       sumldbarpl = sumldbarpl + ldbar[ilayer];
2480     }  //end of +z loop
2481 
2482   }  //end of loop over layers
2483 
2484   //Per thickness
2485   for (std::vector<int>::iterator it = thicknesses.begin(); it != thicknesses.end(); ++it) {
2486     if (histograms.h_clusternum_perthick.count(*it)) {
2487       histograms.h_clusternum_perthick.at(*it)->Fill(tnlcpthplus[std::to_string(*it)]);
2488       histograms.h_clusternum_perthick.at(*it)->Fill(tnlcpthminus[std::to_string(*it)]);
2489     }
2490   }
2491   //Mixed thickness clusters
2492   histograms.h_mixedhitscluster_zplus[count]->Fill(tnlcpthplus["mixed"]);
2493   histograms.h_mixedhitscluster_zminus[count]->Fill(tnlcpthminus["mixed"]);
2494 
2495   //Total energy clustered from all layer clusters (fraction)
2496   if (caloparteneplus != 0.) {
2497     histograms.h_energyclustered_zplus[count]->Fill(100. * sumeneallcluspl / caloparteneplus);
2498   }
2499   if (caloparteneminus != 0.) {
2500     histograms.h_energyclustered_zminus[count]->Fill(100. * sumeneallclusmi / caloparteneminus);
2501   }
2502 
2503   //For the longitudinal depth barycenter
2504   histograms.h_longdepthbarycentre_zplus[count]->Fill(sumldbarpl / sumeneallcluspl);
2505   histograms.h_longdepthbarycentre_zminus[count]->Fill(sumldbarmi / sumeneallclusmi);
2506 }
2507 
2508 void HGVHistoProducerAlgo::tracksters_to_SimTracksters_fp(const Histograms& histograms,
2509                                                           const int count,
2510                                                           const TracksterToTracksterMap& trackstersToSimTrackstersMap,
2511                                                           const TracksterToTracksterMap& simTrackstersToTrackstersMap,
2512                                                           const validationType valType,
2513                                                           const SimClusterToCaloParticleMap& scToCpMap,
2514                                                           const std::vector<size_t>& cPIndices,
2515                                                           const std::vector<size_t>& cPSelectedIndices,
2516                                                           const edm::ProductID& cPHandle_id) const {
2517   const auto nTracksters = trackstersToSimTrackstersMap.getMap().size();
2518   const auto nSimTracksters = simTrackstersToTrackstersMap.getMap().size();
2519   std::vector<int> tracksters_FakeMerge(nTracksters, 0);
2520   std::vector<int> tracksters_PurityDuplicate(nSimTracksters, 0);
2521   auto getCPId = [](const ticl::Trackster& simTS,
2522                     const edm::ProductID& cPHandle_id,
2523                     const SimClusterToCaloParticleMap& scToCpMap) {
2524     const auto productID = simTS.seedID();
2525     if (productID == cPHandle_id) {
2526       return simTS.seedIndex();
2527     } else {
2528       return int(scToCpMap.at(simTS.seedIndex()).index());
2529     }
2530   };
2531 
2532   auto ScoreCutSTStoTSPurDup = ScoreCutSTStoTSPurDup_[0];
2533   auto ScoreCutTStoSTSFakeMerge = ScoreCutTStoSTSFakeMerge_[0];
2534   for (unsigned int tracksterIndex = 0; tracksterIndex < nTracksters; ++tracksterIndex) {
2535     const auto& trackster = *(trackstersToSimTrackstersMap.getRefFirst(tracksterIndex));
2536     if (trackster.vertices().empty())
2537       continue;
2538     float iTS_eta = trackster.barycenter().eta();
2539     float iTS_phi = trackster.barycenter().phi();
2540     float iTS_en = trackster.raw_energy();
2541     float iTS_pt = trackster.raw_pt();
2542     histograms.h_denom_trackster_eta[valType][count]->Fill(iTS_eta);
2543     histograms.h_denom_trackster_phi[valType][count]->Fill(iTS_phi);
2544     histograms.h_denom_trackster_en[valType][count]->Fill(iTS_en);
2545     histograms.h_denom_trackster_pt[valType][count]->Fill(iTS_pt);
2546 
2547     // loop over trackstersToSimTrackstersMap[tracksterIndex] by index
2548     for (unsigned int i = 0; i < trackstersToSimTrackstersMap[tracksterIndex].size(); ++i) {
2549       auto sharedEnergy = trackstersToSimTrackstersMap[tracksterIndex][i].sharedEnergy();
2550       auto score = trackstersToSimTrackstersMap[tracksterIndex][i].score();
2551       float sharedEnergyFraction = sharedEnergy / trackster.raw_energy();
2552       if (i == 0) {
2553         histograms.h_score_trackster2bestCaloparticle[valType][count]->Fill(score);
2554         histograms.h_sharedenergy_trackster2bestCaloparticle[valType][count]->Fill(sharedEnergyFraction);
2555         histograms.h_sharedenergy_trackster2bestCaloparticle_vs_eta[valType][count]->Fill(trackster.barycenter().eta(),
2556                                                                                           sharedEnergy);
2557         histograms.h_sharedenergy_trackster2bestCaloparticle_vs_phi[valType][count]->Fill(trackster.barycenter().phi(),
2558                                                                                           sharedEnergy);
2559         histograms.h_energy_vs_score_trackster2bestCaloparticle[valType][count]->Fill(score, sharedEnergyFraction);
2560       }
2561       if (i == 1) {
2562         histograms.h_score_trackster2bestCaloparticle2[valType][count]->Fill(score);
2563         histograms.h_sharedenergy_trackster2bestCaloparticle2[valType][count]->Fill(sharedEnergyFraction);
2564         histograms.h_energy_vs_score_trackster2bestCaloparticle2[valType][count]->Fill(score, sharedEnergyFraction);
2565       }
2566       histograms.h_score_trackster2caloparticle[valType][count]->Fill(score);
2567       histograms.h_sharedenergy_trackster2caloparticle[valType][count]->Fill(sharedEnergyFraction);
2568       histograms.h_energy_vs_score_trackster2caloparticle[valType][count]->Fill(score, sharedEnergyFraction);
2569       tracksters_FakeMerge[tracksterIndex] += score < ScoreCutTStoSTSFakeMerge;
2570     }
2571 
2572     if (tracksters_FakeMerge[tracksterIndex] > 0) {
2573       histograms.h_num_trackster_eta[valType][count]->Fill(iTS_eta);
2574       histograms.h_num_trackster_phi[valType][count]->Fill(iTS_phi);
2575       histograms.h_num_trackster_en[valType][count]->Fill(iTS_en);
2576       histograms.h_num_trackster_pt[valType][count]->Fill(iTS_pt);
2577 
2578       if (tracksters_FakeMerge[tracksterIndex] > 1) {
2579         histograms.h_numMerge_trackster_eta[valType][count]->Fill(iTS_eta);
2580         histograms.h_numMerge_trackster_phi[valType][count]->Fill(iTS_phi);
2581         histograms.h_numMerge_trackster_en[valType][count]->Fill(iTS_en);
2582         histograms.h_numMerge_trackster_pt[valType][count]->Fill(iTS_pt);
2583       }
2584     }
2585   }
2586 
2587   // Fill the plots to compute the different metrics linked to
2588   // gen-level, namely efficiency, purity and duplicate. In this loop should restrict
2589   // only to the selected caloParaticles.
2590   for (unsigned int simTracksterIndex = 0; simTracksterIndex < nSimTracksters; ++simTracksterIndex) {
2591     const auto& simTrackster = *(simTrackstersToTrackstersMap.getRefFirst(simTracksterIndex));
2592     const auto cpId = getCPId(simTrackster, cPHandle_id, scToCpMap);
2593     if (std::find(cPSelectedIndices.begin(), cPSelectedIndices.end(), cpId) == cPSelectedIndices.end())
2594       continue;
2595     const auto sts_eta = simTrackster.barycenter().eta();
2596     const auto sts_phi = simTrackster.barycenter().phi();
2597     const auto sts_en = simTrackster.raw_energy();
2598     const auto sts_pt = simTrackster.raw_pt();
2599     float inv_simtrackster_energy = 1.f / sts_en;
2600     histograms.h_denom_caloparticle_eta[valType][count]->Fill(sts_eta);
2601     histograms.h_denom_caloparticle_phi[valType][count]->Fill(sts_phi);
2602     histograms.h_denom_caloparticle_en[valType][count]->Fill(sts_en);
2603     histograms.h_denom_caloparticle_pt[valType][count]->Fill(sts_pt);
2604 
2605     //Loop through related Tracksters here
2606     // In case the threshold to associate a CaloParticle to a Trackster is
2607     // below 50%, there could be cases in which the CP is linked to more than
2608     // one tracksters, leading to efficiencies >1. This boolean is used to
2609     // avoid "over counting".
2610     bool sts_considered_efficient = false;
2611     bool sts_considered_pure = false;
2612 
2613     for (unsigned int i = 0; i < simTrackstersToTrackstersMap[simTracksterIndex].size(); ++i) {
2614       const auto sharedEnergy = simTrackstersToTrackstersMap[simTracksterIndex][i].sharedEnergy();
2615       const auto score = simTrackstersToTrackstersMap[simTracksterIndex][i].score();
2616       float sharedEnergyFraction = sharedEnergy * inv_simtrackster_energy;
2617       if (i == 0) {
2618         histograms.h_scorePur_caloparticle2trackster[valType][count]->Fill(score);
2619         histograms.h_sharedenergy_caloparticle2trackster_assoc[valType][count]->Fill(sharedEnergyFraction);
2620         histograms.h_energy_vs_score_caloparticle2bestTrackster[valType][count]->Fill(score, sharedEnergyFraction);
2621         histograms.h_sharedenergy_caloparticle2trackster_assoc_vs_eta[valType][count]->Fill(sts_eta,
2622                                                                                             sharedEnergyFraction);
2623         histograms.h_sharedenergy_caloparticle2trackster_assoc_vs_phi[valType][count]->Fill(sts_phi,
2624                                                                                             sharedEnergyFraction);
2625       }
2626 
2627       if (i == 1) {
2628         histograms.h_scoreDupl_caloparticle2trackster[valType][count]->Fill(score);
2629         histograms.h_sharedenergy_caloparticle2trackster_assoc2[valType][count]->Fill(sharedEnergyFraction);
2630         histograms.h_energy_vs_score_caloparticle2bestTrackster2[valType][count]->Fill(score, sharedEnergyFraction);
2631       }
2632 
2633       histograms.h_score_caloparticle2trackster[valType][count]->Fill(score);
2634       histograms.h_sharedenergy_caloparticle2trackster[valType][count]->Fill(sharedEnergyFraction);
2635       histograms.h_energy_vs_score_caloparticle2trackster[valType][count]->Fill(score, sharedEnergyFraction);
2636 
2637       // Fill the numerator for the efficiency calculation. The efficiency is computed by considering the energy shared between a Trackster and a _corresponding_ caloParticle. The threshold is configurable via python.
2638       if (!sts_considered_efficient && (sharedEnergyFraction >= minTSTSharedEneFracEfficiency_)) {
2639         sts_considered_efficient = true;
2640         histograms.h_numEff_caloparticle_eta[valType][count]->Fill(sts_eta);
2641         histograms.h_numEff_caloparticle_phi[valType][count]->Fill(sts_phi);
2642         histograms.h_numEff_caloparticle_en[valType][count]->Fill(sts_en);
2643         histograms.h_numEff_caloparticle_pt[valType][count]->Fill(sts_pt);
2644       }
2645 
2646       if (score < ScoreCutSTStoTSPurDup) {
2647         if (tracksters_PurityDuplicate[simTracksterIndex] < 1)
2648           tracksters_PurityDuplicate[simTracksterIndex]++;  // for Purity
2649         if (sts_considered_pure)
2650           tracksters_PurityDuplicate[simTracksterIndex]++;  // for Duplicate
2651         sts_considered_pure = true;
2652       }
2653 
2654     }  // end of loop through Tracksters related to SimTrackster
2655     if (tracksters_PurityDuplicate[simTracksterIndex] > 0) {
2656       histograms.h_num_caloparticle_eta[valType][count]->Fill(sts_eta);
2657       histograms.h_num_caloparticle_phi[valType][count]->Fill(sts_phi);
2658       histograms.h_num_caloparticle_en[valType][count]->Fill(sts_en);
2659       histograms.h_num_caloparticle_pt[valType][count]->Fill(sts_pt);
2660 
2661       if (tracksters_PurityDuplicate[simTracksterIndex] > 1) {
2662         histograms.h_numDup_trackster_eta[valType][count]->Fill(sts_eta);
2663         histograms.h_numDup_trackster_phi[valType][count]->Fill(sts_phi);
2664         histograms.h_numDup_trackster_en[valType][count]->Fill(sts_en);
2665         histograms.h_numDup_trackster_pt[valType][count]->Fill(sts_pt);
2666       }
2667     }
2668 
2669   }  // end of loop through SimTracksters
2670 }
2671 
2672 void HGVHistoProducerAlgo::fill_trackster_histos(
2673     const Histograms& histograms,
2674     const int count,
2675     const ticl::TracksterCollection& tracksters,
2676     const reco::CaloClusterCollection& layerClusters,
2677     const ticl::TracksterCollection& simTSs,
2678     const ticl::TracksterCollection& simTSs_fromCP,
2679     const std::map<unsigned int, std::vector<unsigned int>>& cpToSc_SimTrackstersMap,
2680     std::vector<SimCluster> const& sC,
2681     const edm::ProductID& cPHandle_id,
2682     std::vector<CaloParticle> const& cP,
2683     std::vector<size_t> const& cPIndices,
2684     std::vector<size_t> const& cPSelectedIndices,
2685     std::unordered_map<DetId, const unsigned int> const& hitMap,
2686     unsigned int layers,
2687     MultiVectorManager<HGCRecHit> const& hits,
2688     bool mapsFound,
2689     const edm::Handle<TracksterToTracksterMap>& trackstersToSimTrackstersByLCsMapH,
2690     const edm::Handle<TracksterToTracksterMap>& simTrackstersToTrackstersByLCsMapH,
2691     const edm::Handle<TracksterToTracksterMap>& trackstersToSimTrackstersFromCPsByLCsMapH,
2692     const edm::Handle<TracksterToTracksterMap>& simTrackstersFromCPsToTrackstersByLCsMapH,
2693     const edm::Handle<TracksterToTracksterMap>& trackstersToSimTrackstersByHitsMapH,
2694     const edm::Handle<TracksterToTracksterMap>& simTrackstersToTrackstersByHitsMapH,
2695     const edm::Handle<TracksterToTracksterMap>& trackstersToSimTrackstersFromCPsByHitsMapH,
2696     const edm::Handle<TracksterToTracksterMap>& simTrackstersFromCPsToTrackstersByHitsMapH,
2697     const SimClusterToCaloParticleMap& scToCpMap) const {
2698   //Each event to be treated as two events:
2699   //an event in +ve endcap, plus another event in -ve endcap.
2700 
2701   //To keep track of total num of Tracksters
2702   int totNTstZm = 0;  //-z
2703   int totNTstZp = 0;  //+z
2704   //To count the number of Tracksters with 3 contiguous layers per event.
2705   int totNContTstZp = 0;  //+z
2706   int totNContTstZm = 0;  //-z
2707   //For the number of Tracksters without 3 contiguous layers per event.
2708   int totNNotContTstZp = 0;  //+z
2709   int totNNotContTstZm = 0;  //-z
2710   // Check below the score of cont and non cont Tracksters
2711   std::vector<bool> contTracksters;
2712   contTracksters.clear();
2713 
2714   //[tstId]-> vector of 2d layer clusters size
2715   std::unordered_map<unsigned int, std::vector<unsigned int>> multiplicity;
2716   //[tstId]-> [layer][cluster size]
2717   std::unordered_map<unsigned int, std::vector<unsigned int>> multiplicity_vs_layer;
2718   //We will need for the scale text option
2719   // unsigned int totalLcInTsts = 0;
2720   // for (unsigned int tstId = 0; tstId < nTracksters; ++tstId) {
2721   //   totalLcInTsts = totalLcInTsts + tracksters[tstId].vertices().size();
2722   // }
2723 
2724   const auto nTracksters = tracksters.size();
2725   // loop through Tracksters
2726   for (unsigned int tstId = 0; tstId < nTracksters; ++tstId) {
2727     const auto& tst = tracksters[tstId];
2728     if (tst.vertices().empty())
2729       continue;
2730 
2731     if (tst.barycenter().z() < 0.)
2732       totNTstZm++;
2733     else if (tst.barycenter().z() > 0.)
2734       totNTstZp++;
2735 
2736     //Total number of layer clusters in Trackster
2737     int tnLcInTst = 0;
2738 
2739     //To keep track of total num of layer clusters per Trackster
2740     //tnLcInTstperlaypz[layerid], tnLcInTstperlaymz[layerid]
2741     std::vector<int> tnLcInTstperlay(1000, 0);  //+z
2742 
2743     //For the layers the Trackster expands to. Will use a set because there would be many
2744     //duplicates and then go back to vector for random access, since they say it is faster.
2745     std::set<unsigned int> trackster_layers;
2746 
2747     bool tracksterInZplus = false;
2748     bool tracksterInZminus = false;
2749 
2750     //Loop through layer clusters
2751     for (const auto lcId : tst.vertices()) {
2752       //take the hits and their fraction of the specific layer cluster.
2753       const auto& hits_and_fractions = layerClusters[lcId].hitsAndFractions();
2754 
2755       //For the multiplicity of the 2d layer clusters in Tracksters
2756       multiplicity[tstId].emplace_back(hits_and_fractions.size());
2757 
2758       const auto firstHitDetId = hits_and_fractions[0].first;
2759       //The layer that the layer cluster belongs to
2760       const auto layerid = recHitTools_->getLayerWithOffset(firstHitDetId) +
2761                            layers * ((recHitTools_->zside(firstHitDetId) + 1) >> 1) - 1;
2762       trackster_layers.insert(layerid);
2763       multiplicity_vs_layer[tstId].emplace_back(layerid);
2764 
2765       tnLcInTstperlay[layerid]++;
2766       tnLcInTst++;
2767 
2768       if (recHitTools_->zside(firstHitDetId) > 0.)
2769         tracksterInZplus = true;
2770       else if (recHitTools_->zside(firstHitDetId) < 0.)
2771         tracksterInZminus = true;
2772     }  // end of loop through layerClusters
2773 
2774     // Per layer : Loop 0->99
2775     for (unsigned ilayer = 0; ilayer < layers * 2; ++ilayer) {
2776       if (histograms.h_clusternum_in_trackster_perlayer[count].count(ilayer) && tnLcInTstperlay[ilayer] != 0) {
2777         histograms.h_clusternum_in_trackster_perlayer[count].at(ilayer)->Fill((float)tnLcInTstperlay[ilayer]);
2778       }
2779       // For the profile now of 2d layer cluster in Tracksters vs layer number.
2780       if (tnLcInTstperlay[ilayer] != 0) {
2781         histograms.h_clusternum_in_trackster_vs_layer[count]->Fill((float)ilayer, (float)tnLcInTstperlay[ilayer]);
2782       }
2783     }  // end of loop over layers
2784 
2785     // Looking for Tracksters with 3 contiguous layers per event.
2786     std::vector<int> trackster_layers_vec(trackster_layers.begin(), trackster_layers.end());
2787     // Check also for non contiguous Tracksters
2788     bool contiTrackster = false;
2789     // Start from 1 and go up to size - 1 element.
2790     if (trackster_layers_vec.size() >= 3) {
2791       for (unsigned int iLayer = 1; iLayer < trackster_layers_vec.size() - 1; ++iLayer) {
2792         if ((trackster_layers_vec[iLayer - 1] + 1 == trackster_layers_vec[iLayer]) &&
2793             (trackster_layers_vec[iLayer + 1] - 1 == trackster_layers_vec[iLayer])) {
2794           // Trackster with 3 contiguous layers per event
2795           if (tracksterInZplus)
2796             totNContTstZp++;
2797           else if (tracksterInZminus)
2798             totNContTstZm++;
2799 
2800           contiTrackster = true;
2801           break;
2802         }
2803       }
2804     }
2805     // Count non contiguous Tracksters
2806     if (!contiTrackster) {
2807       if (tracksterInZplus)
2808         totNNotContTstZp++;
2809       else if (tracksterInZminus)
2810         totNNotContTstZm++;
2811     }
2812 
2813     // Save for the score
2814     contTracksters.push_back(contiTrackster);
2815 
2816     histograms.h_clusternum_in_trackster[count]->Fill(tnLcInTst);
2817 
2818     for (unsigned int lc = 0; lc < multiplicity[tstId].size(); ++lc) {
2819       //multiplicity of the current LC
2820       float mlp = std::count(std::begin(multiplicity[tstId]), std::end(multiplicity[tstId]), multiplicity[tstId][lc]);
2821       //LogDebug("HGCalValidator") << "mlp %" << (100. * mlp)/ ((float) nLayerClusters) << std::endl;
2822       // histograms.h_multiplicityOfLCinTST[count]->Fill( mlp , multiplicity[tstId][lc] , 100. / (float) totalLcInTsts );
2823       histograms.h_multiplicityOfLCinTST[count]->Fill(mlp, multiplicity[tstId][lc]);
2824       //When plotting with the text option we want the entries to be the same
2825       //as the % of the current cell over the whole number of layerClusters. For this we need an extra histo.
2826       histograms.h_multiplicity_numberOfEventsHistogram[count]->Fill(mlp);
2827       //For the cluster multiplicity vs layer
2828       //First with the -z endcap (V10:0->49)
2829       if (multiplicity_vs_layer[tstId][lc] < layers) {
2830         histograms.h_multiplicityOfLCinTST_vs_layercluster_zminus[count]->Fill(mlp, multiplicity_vs_layer[tstId][lc]);
2831         histograms.h_multiplicity_zminus_numberOfEventsHistogram[count]->Fill(mlp);
2832       } else {  //Then for the +z (V10:50->99)
2833         histograms.h_multiplicityOfLCinTST_vs_layercluster_zplus[count]->Fill(
2834             mlp, multiplicity_vs_layer[tstId][lc] - layers);
2835         histograms.h_multiplicity_zplus_numberOfEventsHistogram[count]->Fill(mlp);
2836       }
2837       //For the cluster multiplicity vs cluster energy
2838       histograms.h_multiplicityOfLCinTST_vs_layerclusterenergy[count]->Fill(mlp,
2839                                                                             layerClusters[tst.vertices(lc)].energy());
2840     }
2841 
2842     if (!trackster_layers.empty()) {
2843       histograms.h_trackster_x[count]->Fill(tst.barycenter().x());
2844       histograms.h_trackster_y[count]->Fill(tst.barycenter().y());
2845       histograms.h_trackster_z[count]->Fill(tst.barycenter().z());
2846       histograms.h_trackster_eta[count]->Fill(tst.barycenter().eta());
2847       histograms.h_trackster_phi[count]->Fill(tst.barycenter().phi());
2848 
2849       histograms.h_trackster_firstlayer[count]->Fill((float)*trackster_layers.begin());
2850       histograms.h_trackster_lastlayer[count]->Fill((float)*trackster_layers.rbegin());
2851       histograms.h_trackster_layersnum[count]->Fill((float)trackster_layers.size());
2852 
2853       histograms.h_trackster_pt[count]->Fill(tst.raw_pt());
2854       histograms.h_trackster_energy[count]->Fill(tst.raw_energy());
2855     }
2856 
2857   }  //end of loop through Tracksters
2858 
2859   histograms.h_tracksternum[count]->Fill(totNTstZm + totNTstZp);
2860   histograms.h_conttracksternum[count]->Fill(totNContTstZp + totNContTstZm);
2861   histograms.h_nonconttracksternum[count]->Fill(totNNotContTstZp + totNNotContTstZm);
2862   if (mapsFound) {
2863     const auto& trackstersToSimTrackstersByLCsMap = *trackstersToSimTrackstersByLCsMapH;
2864     const auto& simTrackstersToTrackstersByLCsMap = *simTrackstersToTrackstersByLCsMapH;
2865     const auto& trackstersToSimTrackstersFromCPsByLCsMap = *trackstersToSimTrackstersFromCPsByLCsMapH;
2866     const auto& simTrackstersFromCPsToTrackstersByLCsMap = *simTrackstersFromCPsToTrackstersByLCsMapH;
2867     const auto& trackstersToSimTrackstersByHitsMap = *trackstersToSimTrackstersByHitsMapH;
2868     const auto& simTrackstersToTrackstersByHitsMap = *simTrackstersToTrackstersByHitsMapH;
2869     const auto& trackstersToSimTrackstersFromCPsByHitsMap = *trackstersToSimTrackstersFromCPsByHitsMapH;
2870     const auto& simTrackstersFromCPsToTrackstersByHitsMap = *simTrackstersFromCPsToTrackstersByHitsMapH;
2871 
2872     tracksters_to_SimTracksters_fp(histograms,
2873                                    count,
2874                                    trackstersToSimTrackstersByLCsMap,
2875                                    simTrackstersToTrackstersByLCsMap,
2876                                    validationType::byLCs,
2877                                    scToCpMap,
2878                                    cPIndices,
2879                                    cPSelectedIndices,
2880                                    cPHandle_id);
2881 
2882     tracksters_to_SimTracksters_fp(histograms,
2883                                    count,
2884                                    trackstersToSimTrackstersFromCPsByLCsMap,
2885                                    simTrackstersFromCPsToTrackstersByLCsMap,
2886                                    validationType::byLCs_CP,
2887                                    scToCpMap,
2888                                    cPIndices,
2889                                    cPSelectedIndices,
2890                                    cPHandle_id);
2891 
2892     tracksters_to_SimTracksters_fp(histograms,
2893                                    count,
2894                                    trackstersToSimTrackstersFromCPsByHitsMap,
2895                                    simTrackstersFromCPsToTrackstersByHitsMap,
2896                                    validationType::byHits_CP,
2897                                    scToCpMap,
2898                                    cPIndices,
2899                                    cPSelectedIndices,
2900                                    cPHandle_id);
2901 
2902     tracksters_to_SimTracksters_fp(histograms,
2903                                    count,
2904                                    trackstersToSimTrackstersByHitsMap,
2905                                    simTrackstersToTrackstersByHitsMap,
2906                                    validationType::byHits,
2907                                    scToCpMap,
2908                                    cPIndices,
2909                                    cPSelectedIndices,
2910                                    cPHandle_id);
2911   }
2912 }
2913 
2914 double HGVHistoProducerAlgo::distance2(const double x1,
2915                                        const double y1,
2916                                        const double x2,
2917                                        const double y2) const {  //distance squared
2918   const double dx = x1 - x2;
2919   const double dy = y1 - y2;
2920   return (dx * dx + dy * dy);
2921 }  //distance squaredq
2922 double HGVHistoProducerAlgo::distance(const double x1,
2923                                       const double y1,
2924                                       const double x2,
2925                                       const double y2) const {  //2-d distance on the layer (x-y)
2926   return std::sqrt(distance2(x1, y1, x2, y2));
2927 }
2928 
2929 void HGVHistoProducerAlgo::setRecHitTools(std::shared_ptr<hgcal::RecHitTools> recHitTools) {
2930   recHitTools_ = recHitTools;
2931 }
2932 
2933 DetId HGVHistoProducerAlgo::findmaxhit(const reco::CaloCluster& cluster,
2934                                        std::unordered_map<DetId, const unsigned int> const& hitMap,
2935                                        MultiVectorManager<HGCRecHit> const& hits) const {
2936   const auto& hits_and_fractions = cluster.hitsAndFractions();
2937 
2938   DetId themaxid;
2939   double maxene = 0.;
2940   for (std::vector<std::pair<DetId, float>>::const_iterator it_haf = hits_and_fractions.begin();
2941        it_haf != hits_and_fractions.end();
2942        ++it_haf) {
2943     const DetId rh_detid = it_haf->first;
2944     const auto hitEn = (hits[hitMap.find(rh_detid)->second]).energy();
2945     if (maxene < hitEn) {
2946       maxene = hitEn;
2947       themaxid = rh_detid;
2948     }
2949   }
2950 
2951   return themaxid;
2952 }
2953 
2954 double HGVHistoProducerAlgo::getEta(double eta) const {
2955   if (useFabsEta_)
2956     return fabs(eta);
2957   else
2958     return eta;
2959 }