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HGVHistoProducerAlgo Class Reference

#include <HGVHistoProducerAlgo.h>

Classes

struct  caloParticleOnLayer
 
struct  detIdInfoInCluster
 
struct  detIdInfoInMultiCluster
 

Public Types

typedef dqm::legacy::DQMStore DQMStore
 
using Histograms = HGVHistoProducerAlgoHistograms
 
typedef dqm::legacy::MonitorElement MonitorElement
 

Public Member Functions

void bookCaloParticleHistos (DQMStore::IBooker &ibook, Histograms &histograms, int pdgid)
 
void bookClusterHistos (DQMStore::IBooker &ibook, Histograms &histograms, unsigned layers, std::vector< int > thicknesses, std::string pathtomatbudfile)
 
void bookInfo (DQMStore::IBooker &ibook, Histograms &histograms)
 
void bookMultiClusterHistos (DQMStore::IBooker &ibook, Histograms &histograms, unsigned layers)
 
double distance (const double x1, const double y1, const double x2, const double y2) const
 
double distance2 (const double x1, const double y1, const double x2, const double y2) const
 
void fill_caloparticle_histos (const Histograms &histograms, int pdgid, const CaloParticle &caloparticle, std::vector< SimVertex > const &simVertices) const
 
void fill_cluster_histos (const Histograms &histograms, int count, const reco::CaloCluster &cluster) const
 
void fill_generic_cluster_histos (const Histograms &histograms, int count, edm::Handle< reco::CaloClusterCollection > clusterHandle, const reco::CaloClusterCollection &clusters, const Density &densities, edm::Handle< std::vector< CaloParticle >> caloParticleHandle, std::vector< CaloParticle > const &cP, std::vector< size_t > const &cPIndices, std::vector< size_t > const &cPSelectedIndices, std::unordered_map< DetId, const HGCRecHit * > const &, std::map< double, double > cummatbudg, unsigned layers, std::vector< int > thicknesses, edm::Handle< hgcal::LayerClusterToCaloParticleAssociator > &LCAssocByEnergyScoreHandle) const
 
void fill_info_histos (const Histograms &histograms, unsigned layers) const
 
void fill_multi_cluster_histos (const Histograms &histograms, int count, const std::vector< reco::HGCalMultiCluster > &multiClusters, std::vector< CaloParticle > const &cP, std::vector< size_t > const &cPIndices, std::vector< size_t > const &cPSelectedIndices, std::unordered_map< DetId, const HGCRecHit * > const &, unsigned layers) const
 
DetId findmaxhit (const reco::CaloCluster &cluster, std::unordered_map< DetId, const HGCRecHit * > const &) const
 
 HGVHistoProducerAlgo (const edm::ParameterSet &pset)
 
void layerClusters_to_CaloParticles (const Histograms &histograms, edm::Handle< reco::CaloClusterCollection > clusterHandle, const reco::CaloClusterCollection &clusters, edm::Handle< std::vector< CaloParticle >> caloParticleHandle, std::vector< CaloParticle > const &cP, std::vector< size_t > const &cPIndices, std::vector< size_t > const &cPSelectedIndices, std::unordered_map< DetId, const HGCRecHit * > const &, unsigned layers, const edm::Handle< hgcal::LayerClusterToCaloParticleAssociator > &LCAssocByEnergyScoreHandle) const
 
void multiClusters_to_CaloParticles (const Histograms &histograms, int count, const std::vector< reco::HGCalMultiCluster > &multiClusters, std::vector< CaloParticle > const &cP, std::vector< size_t > const &cPIndices, std::vector< size_t > const &cPSelectedIndices, std::unordered_map< DetId, const HGCRecHit * > const &, unsigned layers) const
 
void setRecHitTools (std::shared_ptr< hgcal::RecHitTools > recHitTools)
 
 ~HGVHistoProducerAlgo ()
 

Private Member Functions

double getEta (double eta) const
 

Private Attributes

double maxCellsEneDensperthick_
 
double maxClEnepermultiplicity_
 
double maxClEneperthickperlayer_
 
double maxDisSeedToMaxperthickperlayer_
 
double maxDisToMaxperthickperlayer_
 
double maxDisToMaxperthickperlayerenewei_
 
double maxDisToSeedperthickperlayer_
 
double maxDisToSeedperthickperlayerenewei_
 
double maxEne_
 
double maxEneCl_
 
double maxEneClperlay_
 
double maxEta_
 
double maxLongDepBary_
 
double maxMCLSharedEneFrac_
 
double maxMixedHitsCluster_
 
double maxMplofLCs_
 
double maxPhi_
 
double maxPt_
 
double maxScore_
 
double maxSharedEneFrac_
 
double maxSizeCLsinMCLs_
 
double maxTotNcellsperthickperlayer_
 
double maxTotNClsinMCLs_
 
double maxTotNClsinMCLsperlayer_
 
double maxTotNClsperlay_
 
double maxTotNClsperthick_
 
double maxTotNMCLs_
 
double maxX_
 
double maxY_
 
double maxZ_
 
double maxZpos_
 
double minCellsEneDensperthick_
 
double minClEnepermultiplicity_
 
double minClEneperthickperlayer_
 
double minDisSeedToMaxperthickperlayer_
 
double minDisToMaxperthickperlayer_
 
double minDisToMaxperthickperlayerenewei_
 
double minDisToSeedperthickperlayer_
 
double minDisToSeedperthickperlayerenewei_
 
double minEne_
 
double minEneCl_
 
double minEneClperlay_
 
double minEta_
 
double minLongDepBary_
 
double minMCLSharedEneFrac_
 
double minMixedHitsCluster_
 
double minMplofLCs_
 
double minPhi_
 
double minPt_
 
double minScore_
 
double minSharedEneFrac_
 
double minSizeCLsinMCLs_
 
double minTotNcellsperthickperlayer_
 
double minTotNClsinMCLs_
 
double minTotNClsinMCLsperlayer_
 
double minTotNClsperlay_
 
double minTotNClsperthick_
 
double minTotNMCLs_
 
double minX_
 
double minY_
 
double minZ_
 
double minZpos_
 
int nintCellsEneDensperthick_
 
int nintClEnepermultiplicity_
 
int nintClEneperthickperlayer_
 
int nintDisSeedToMaxperthickperlayer_
 
int nintDisToMaxperthickperlayer_
 
int nintDisToMaxperthickperlayerenewei_
 
int nintDisToSeedperthickperlayer_
 
int nintDisToSeedperthickperlayerenewei_
 
int nintEne_
 
int nintEneCl_
 
int nintEneClperlay_
 
int nintEta_
 
int nintLongDepBary_
 
int nintMCLSharedEneFrac_
 
int nintMixedHitsCluster_
 
int nintMplofLCs_
 
int nintPhi_
 
int nintPt_
 
int nintScore_
 
int nintSharedEneFrac_
 
int nintSizeCLsinMCLs_
 
int nintTotNcellsperthickperlayer_
 
int nintTotNClsinMCLs_
 
int nintTotNClsinMCLsperlayer_
 
int nintTotNClsperlay_
 
int nintTotNClsperthick_
 
int nintTotNMCLs_
 
int nintX_
 
int nintY_
 
int nintZ_
 
int nintZpos_
 
std::shared_ptr< hgcal::RecHitTools > recHitTools_
 
bool useFabsEta_
 

Detailed Description

Definition at line 147 of file HGVHistoProducerAlgo.h.

Member Typedef Documentation

◆ DQMStore

typedef dqm::legacy::DQMStore HGVHistoProducerAlgo::DQMStore

Definition at line 149 of file HGVHistoProducerAlgo.h.

◆ Histograms

using HGVHistoProducerAlgo::Histograms = HGVHistoProducerAlgoHistograms

Definition at line 155 of file HGVHistoProducerAlgo.h.

◆ MonitorElement

typedef dqm::legacy::MonitorElement HGVHistoProducerAlgo::MonitorElement

Definition at line 150 of file HGVHistoProducerAlgo.h.

Constructor & Destructor Documentation

◆ HGVHistoProducerAlgo()

HGVHistoProducerAlgo::HGVHistoProducerAlgo ( const edm::ParameterSet &  pset)

Definition at line 20 of file HGVHistoProducerAlgo.cc.

21  : //parameters for eta
22  minEta_(pset.getParameter<double>("minEta")),
23  maxEta_(pset.getParameter<double>("maxEta")),
24  nintEta_(pset.getParameter<int>("nintEta")),
25  useFabsEta_(pset.getParameter<bool>("useFabsEta")),
26 
27  //parameters for energy
28  minEne_(pset.getParameter<double>("minEne")),
29  maxEne_(pset.getParameter<double>("maxEne")),
30  nintEne_(pset.getParameter<int>("nintEne")),
31 
32  //parameters for pt
33  minPt_(pset.getParameter<double>("minPt")),
34  maxPt_(pset.getParameter<double>("maxPt")),
35  nintPt_(pset.getParameter<int>("nintPt")),
36 
37  //parameters for phi
38  minPhi_(pset.getParameter<double>("minPhi")),
39  maxPhi_(pset.getParameter<double>("maxPhi")),
40  nintPhi_(pset.getParameter<int>("nintPhi")),
41 
42  //parameters for counting mixed hits clusters
43  minMixedHitsCluster_(pset.getParameter<double>("minMixedHitsCluster")),
44  maxMixedHitsCluster_(pset.getParameter<double>("maxMixedHitsCluster")),
45  nintMixedHitsCluster_(pset.getParameter<int>("nintMixedHitsCluster")),
46 
47  //parameters for the total amount of energy clustered by all layer clusters (fraction over caloparticles)
48  minEneCl_(pset.getParameter<double>("minEneCl")),
49  maxEneCl_(pset.getParameter<double>("maxEneCl")),
50  nintEneCl_(pset.getParameter<int>("nintEneCl")),
51 
52  //parameters for the longitudinal depth barycenter.
53  minLongDepBary_(pset.getParameter<double>("minLongDepBary")),
54  maxLongDepBary_(pset.getParameter<double>("maxLongDepBary")),
55  nintLongDepBary_(pset.getParameter<int>("nintLongDepBary")),
56 
57  //parameters for z positionof vertex plots
58  minZpos_(pset.getParameter<double>("minZpos")),
59  maxZpos_(pset.getParameter<double>("maxZpos")),
60  nintZpos_(pset.getParameter<int>("nintZpos")),
61 
62  //Parameters for the total number of layer clusters per layer
63  minTotNClsperlay_(pset.getParameter<double>("minTotNClsperlay")),
64  maxTotNClsperlay_(pset.getParameter<double>("maxTotNClsperlay")),
65  nintTotNClsperlay_(pset.getParameter<int>("nintTotNClsperlay")),
66 
67  //Parameters for the energy clustered by layer clusters per layer (fraction over caloparticles)
68  minEneClperlay_(pset.getParameter<double>("minEneClperlay")),
69  maxEneClperlay_(pset.getParameter<double>("maxEneClperlay")),
70  nintEneClperlay_(pset.getParameter<int>("nintEneClperlay")),
71 
72  //Parameters for the score both for:
73  //1. calo particle to layer clusters association per layer
74  //2. layer cluster to calo particles association per layer
75  minScore_(pset.getParameter<double>("minScore")),
76  maxScore_(pset.getParameter<double>("maxScore")),
77  nintScore_(pset.getParameter<int>("nintScore")),
78 
79  //Parameters for shared energy fraction. That is:
80  //1. Fraction of each of the layer clusters energy related to a
81  //calo particle over that calo particle's energy.
82  //2. Fraction of each of the calo particles energy
83  //related to a layer cluster over that layer cluster's energy.
84  minSharedEneFrac_(pset.getParameter<double>("minSharedEneFrac")),
85  maxSharedEneFrac_(pset.getParameter<double>("maxSharedEneFrac")),
86  nintSharedEneFrac_(pset.getParameter<int>("nintSharedEneFrac")),
87 
88  //Same as above for multiclusters
89  minMCLSharedEneFrac_(pset.getParameter<double>("minMCLSharedEneFrac")),
90  maxMCLSharedEneFrac_(pset.getParameter<double>("maxMCLSharedEneFrac")),
91  nintMCLSharedEneFrac_(pset.getParameter<int>("nintMCLSharedEneFrac")),
92 
93  //Parameters for the total number of layer clusters per thickness
94  minTotNClsperthick_(pset.getParameter<double>("minTotNClsperthick")),
95  maxTotNClsperthick_(pset.getParameter<double>("maxTotNClsperthick")),
96  nintTotNClsperthick_(pset.getParameter<int>("nintTotNClsperthick")),
97 
98  //Parameters for the total number of cells per per thickness per layer
99  minTotNcellsperthickperlayer_(pset.getParameter<double>("minTotNcellsperthickperlayer")),
100  maxTotNcellsperthickperlayer_(pset.getParameter<double>("maxTotNcellsperthickperlayer")),
101  nintTotNcellsperthickperlayer_(pset.getParameter<int>("nintTotNcellsperthickperlayer")),
102 
103  //Parameters for the distance of cluster cells to seed cell per thickness per layer
104  minDisToSeedperthickperlayer_(pset.getParameter<double>("minDisToSeedperthickperlayer")),
105  maxDisToSeedperthickperlayer_(pset.getParameter<double>("maxDisToSeedperthickperlayer")),
106  nintDisToSeedperthickperlayer_(pset.getParameter<int>("nintDisToSeedperthickperlayer")),
107 
108  //Parameters for the energy weighted distance of cluster cells to seed cell per thickness per layer
109  minDisToSeedperthickperlayerenewei_(pset.getParameter<double>("minDisToSeedperthickperlayerenewei")),
110  maxDisToSeedperthickperlayerenewei_(pset.getParameter<double>("maxDisToSeedperthickperlayerenewei")),
111  nintDisToSeedperthickperlayerenewei_(pset.getParameter<int>("nintDisToSeedperthickperlayerenewei")),
112 
113  //Parameters for the distance of cluster cells to max cell per thickness per layer
114  minDisToMaxperthickperlayer_(pset.getParameter<double>("minDisToMaxperthickperlayer")),
115  maxDisToMaxperthickperlayer_(pset.getParameter<double>("maxDisToMaxperthickperlayer")),
116  nintDisToMaxperthickperlayer_(pset.getParameter<int>("nintDisToMaxperthickperlayer")),
117 
118  //Parameters for the energy weighted distance of cluster cells to max cell per thickness per layer
119  minDisToMaxperthickperlayerenewei_(pset.getParameter<double>("minDisToMaxperthickperlayerenewei")),
120  maxDisToMaxperthickperlayerenewei_(pset.getParameter<double>("maxDisToMaxperthickperlayerenewei")),
121  nintDisToMaxperthickperlayerenewei_(pset.getParameter<int>("nintDisToMaxperthickperlayerenewei")),
122 
123  //Parameters for the distance of seed cell to max cell per thickness per layer
124  minDisSeedToMaxperthickperlayer_(pset.getParameter<double>("minDisSeedToMaxperthickperlayer")),
125  maxDisSeedToMaxperthickperlayer_(pset.getParameter<double>("maxDisSeedToMaxperthickperlayer")),
126  nintDisSeedToMaxperthickperlayer_(pset.getParameter<int>("nintDisSeedToMaxperthickperlayer")),
127 
128  //Parameters for the energy of a cluster per thickness per layer
129  minClEneperthickperlayer_(pset.getParameter<double>("minClEneperthickperlayer")),
130  maxClEneperthickperlayer_(pset.getParameter<double>("maxClEneperthickperlayer")),
131  nintClEneperthickperlayer_(pset.getParameter<int>("nintClEneperthickperlayer")),
132 
133  //Parameters for the energy density of cluster cells per thickness
134  minCellsEneDensperthick_(pset.getParameter<double>("minCellsEneDensperthick")),
135  maxCellsEneDensperthick_(pset.getParameter<double>("maxCellsEneDensperthick")),
136  nintCellsEneDensperthick_(pset.getParameter<int>("nintCellsEneDensperthick")),
137 
138  //Parameters for the total number of multiclusters per event
139  //We always treet one event as two events, one in +z one in -z
140  minTotNMCLs_(pset.getParameter<double>("minTotNMCLs")),
141  maxTotNMCLs_(pset.getParameter<double>("maxTotNMCLs")),
142  nintTotNMCLs_(pset.getParameter<int>("nintTotNMCLs")),
143 
144  //Parameters for the total number of layer clusters in multicluster
145  minTotNClsinMCLs_(pset.getParameter<double>("minTotNClsinMCLs")),
146  maxTotNClsinMCLs_(pset.getParameter<double>("maxTotNClsinMCLs")),
147  nintTotNClsinMCLs_(pset.getParameter<int>("nintTotNClsinMCLs")),
148 
149  //Parameters for the total number of layer clusters in multicluster per layer
150  minTotNClsinMCLsperlayer_(pset.getParameter<double>("minTotNClsinMCLsperlayer")),
151  maxTotNClsinMCLsperlayer_(pset.getParameter<double>("maxTotNClsinMCLsperlayer")),
152  nintTotNClsinMCLsperlayer_(pset.getParameter<int>("nintTotNClsinMCLsperlayer")),
153 
154  //Parameters for the multiplicity of layer clusters in multicluster
155  minMplofLCs_(pset.getParameter<double>("minMplofLCs")),
156  maxMplofLCs_(pset.getParameter<double>("maxMplofLCs")),
157  nintMplofLCs_(pset.getParameter<int>("nintMplofLCs")),
158 
159  //Parameters for cluster size
160  minSizeCLsinMCLs_(pset.getParameter<double>("minSizeCLsinMCLs")),
161  maxSizeCLsinMCLs_(pset.getParameter<double>("maxSizeCLsinMCLs")),
162  nintSizeCLsinMCLs_(pset.getParameter<int>("nintSizeCLsinMCLs")),
163 
164  //Parameters for the energy of a cluster per thickness per layer
165  minClEnepermultiplicity_(pset.getParameter<double>("minClEnepermultiplicity")),
166  maxClEnepermultiplicity_(pset.getParameter<double>("maxClEnepermultiplicity")),
167  nintClEnepermultiplicity_(pset.getParameter<int>("nintClEnepermultiplicity")),
168 
169  //parameters for x
170  minX_(pset.getParameter<double>("minX")),
171  maxX_(pset.getParameter<double>("maxX")),
172  nintX_(pset.getParameter<int>("nintX")),
173 
174  //parameters for y
175  minY_(pset.getParameter<double>("minY")),
176  maxY_(pset.getParameter<double>("maxY")),
177  nintY_(pset.getParameter<int>("nintY")),
178 
179  //parameters for z
180  minZ_(pset.getParameter<double>("minZ")),
181  maxZ_(pset.getParameter<double>("maxZ")),
182  nintZ_(pset.getParameter<int>("nintZ")) {}

◆ ~HGVHistoProducerAlgo()

HGVHistoProducerAlgo::~HGVHistoProducerAlgo ( )

Definition at line 184 of file HGVHistoProducerAlgo.cc.

184 {}

Member Function Documentation

◆ bookCaloParticleHistos()

void HGVHistoProducerAlgo::bookCaloParticleHistos ( DQMStore::IBooker &  ibook,
Histograms &  histograms,
int  pdgid 
)

Definition at line 195 of file HGVHistoProducerAlgo.cc.

195  {
196  histograms.h_caloparticle_eta[pdgid] =
197  ibook.book1D("num_caloparticle_eta", "N of caloparticle vs eta", nintEta_, minEta_, maxEta_);
198  histograms.h_caloparticle_eta_Zorigin[pdgid] =
199  ibook.book2D("Eta vs Zorigin", "Eta vs Zorigin", nintEta_, minEta_, maxEta_, nintZpos_, minZpos_, maxZpos_);
200 
201  histograms.h_caloparticle_energy[pdgid] =
202  ibook.book1D("caloparticle_energy", "Energy of caloparticle", nintEne_, minEne_, maxEne_);
203  histograms.h_caloparticle_pt[pdgid] = ibook.book1D("caloparticle_pt", "Pt of caloparticle", nintPt_, minPt_, maxPt_);
204  histograms.h_caloparticle_phi[pdgid] =
205  ibook.book1D("caloparticle_phi", "Phi of caloparticle", nintPhi_, minPhi_, maxPhi_);
206 }

References dqm::implementation::IBooker::book1D(), dqm::implementation::IBooker::book2D(), maxEne_, maxEta_, maxPhi_, maxPt_, maxZpos_, minEne_, minEta_, minPhi_, minPt_, minZpos_, nintEne_, nintEta_, nintPhi_, nintPt_, nintZpos_, and EgammaValidation_cff::pdgid.

◆ bookClusterHistos()

void HGVHistoProducerAlgo::bookClusterHistos ( DQMStore::IBooker &  ibook,
Histograms &  histograms,
unsigned  layers,
std::vector< int >  thicknesses,
std::string  pathtomatbudfile 
)

Definition at line 208 of file HGVHistoProducerAlgo.cc.

212  {
213  //---------------------------------------------------------------------------------------------------------------------------
214  histograms.h_cluster_eta.push_back(
215  ibook.book1D("num_reco_cluster_eta", "N of reco clusters vs eta", nintEta_, minEta_, maxEta_));
216 
217  //---------------------------------------------------------------------------------------------------------------------------
218  //z-
219  histograms.h_mixedhitscluster_zminus.push_back(
220  ibook.book1D("mixedhitscluster_zminus",
221  "N of reco clusters that contain hits of more than one kind in z-",
222  nintMixedHitsCluster_,
223  minMixedHitsCluster_,
224  maxMixedHitsCluster_));
225  //z+
226  histograms.h_mixedhitscluster_zplus.push_back(
227  ibook.book1D("mixedhitscluster_zplus",
228  "N of reco clusters that contain hits of more than one kind in z+",
229  nintMixedHitsCluster_,
230  minMixedHitsCluster_,
231  maxMixedHitsCluster_));
232 
233  //---------------------------------------------------------------------------------------------------------------------------
234  //z-
235  histograms.h_energyclustered_zminus.push_back(
236  ibook.book1D("energyclustered_zminus",
237  "percent of total energy clustered by all layer clusters over caloparticles energy in z-",
238  nintEneCl_,
239  minEneCl_,
240  maxEneCl_));
241  //z+
242  histograms.h_energyclustered_zplus.push_back(
243  ibook.book1D("energyclustered_zplus",
244  "percent of total energy clustered by all layer clusters over caloparticles energy in z+",
245  nintEneCl_,
246  minEneCl_,
247  maxEneCl_));
248 
249  //---------------------------------------------------------------------------------------------------------------------------
250  //z-
251  std::string subpathtomat = pathtomatbudfile.substr(pathtomatbudfile.find("Validation"));
252  histograms.h_longdepthbarycentre_zminus.push_back(
253  ibook.book1D("longdepthbarycentre_zminus",
254  "The longitudinal depth barycentre in z- for " + subpathtomat,
255  nintLongDepBary_,
256  minLongDepBary_,
257  maxLongDepBary_));
258  //z+
259  histograms.h_longdepthbarycentre_zplus.push_back(
260  ibook.book1D("longdepthbarycentre_zplus",
261  "The longitudinal depth barycentre in z+ for " + subpathtomat,
262  nintLongDepBary_,
263  minLongDepBary_,
264  maxLongDepBary_));
265 
266  //---------------------------------------------------------------------------------------------------------------------------
267  for (unsigned ilayer = 0; ilayer < 2 * layers; ++ilayer) {
268  auto istr1 = std::to_string(ilayer);
269  while (istr1.size() < 2) {
270  istr1.insert(0, "0");
271  }
272  //We will make a mapping to the regural layer naming plus z- or z+ for convenience
273  std::string istr2 = "";
274  //First with the -z endcap
275  if (ilayer < layers) {
276  istr2 = std::to_string(ilayer + 1) + " in z-";
277  } else { //Then for the +z
278  istr2 = std::to_string(ilayer - (layers - 1)) + " in z+";
279  }
280  histograms.h_clusternum_perlayer[ilayer] = ibook.book1D("totclusternum_layer_" + istr1,
281  "total number of layer clusters for layer " + istr2,
282  nintTotNClsperlay_,
283  minTotNClsperlay_,
284  maxTotNClsperlay_);
285  histograms.h_energyclustered_perlayer[ilayer] =
286  ibook.book1D("energyclustered_perlayer" + istr1,
287  "percent of total energy clustered by layer clusters over caloparticles energy for layer " + istr2,
288  nintEneClperlay_,
289  minEneClperlay_,
290  maxEneClperlay_);
291  histograms.h_score_layercl2caloparticle_perlayer[ilayer] =
292  ibook.book1D("Score_layercl2caloparticle_perlayer" + istr1,
293  "Score of Layer Cluster per CaloParticle for layer " + istr2,
294  nintScore_,
295  minScore_,
296  maxScore_);
297  histograms.h_score_caloparticle2layercl_perlayer[ilayer] =
298  ibook.book1D("Score_caloparticle2layercl_perlayer" + istr1,
299  "Score of CaloParticle per Layer Cluster for layer " + istr2,
300  nintScore_,
301  minScore_,
302  maxScore_);
303  histograms.h_energy_vs_score_caloparticle2layercl_perlayer[ilayer] =
304  ibook.book2D("Energy_vs_Score_caloparticle2layer_perlayer" + istr1,
305  "Energy vs Score of CaloParticle per Layer Cluster for layer " + istr2,
306  nintScore_,
307  minScore_,
308  maxScore_,
309  nintSharedEneFrac_,
310  minSharedEneFrac_,
311  maxSharedEneFrac_);
312  histograms.h_energy_vs_score_layercl2caloparticle_perlayer[ilayer] =
313  ibook.book2D("Energy_vs_Score_layer2caloparticle_perlayer" + istr1,
314  "Energy vs Score of Layer Cluster per CaloParticle Layer for layer " + istr2,
315  nintScore_,
316  minScore_,
317  maxScore_,
318  nintSharedEneFrac_,
319  minSharedEneFrac_,
320  maxSharedEneFrac_);
321  histograms.h_sharedenergy_caloparticle2layercl_perlayer[ilayer] =
322  ibook.book1D("SharedEnergy_caloparticle2layercl_perlayer" + istr1,
323  "Shared Energy of CaloParticle per Layer Cluster for layer " + istr2,
324  nintSharedEneFrac_,
325  minSharedEneFrac_,
326  maxSharedEneFrac_);
327  histograms.h_sharedenergy_caloparticle2layercl_vs_eta_perlayer[ilayer] =
328  ibook.bookProfile("SharedEnergy_caloparticle2layercl_vs_eta_perlayer" + istr1,
329  "Shared Energy of CaloParticle vs #eta per best Layer Cluster for layer " + istr2,
330  nintEta_,
331  minEta_,
332  maxEta_,
333  minSharedEneFrac_,
334  maxSharedEneFrac_);
335  histograms.h_sharedenergy_caloparticle2layercl_vs_phi_perlayer[ilayer] =
336  ibook.bookProfile("SharedEnergy_caloparticle2layercl_vs_phi_perlayer" + istr1,
337  "Shared Energy of CaloParticle vs #phi per best Layer Cluster for layer " + istr2,
338  nintPhi_,
339  minPhi_,
340  maxPhi_,
341  minSharedEneFrac_,
342  maxSharedEneFrac_);
343  histograms.h_sharedenergy_layercl2caloparticle_perlayer[ilayer] =
344  ibook.book1D("SharedEnergy_layercluster2caloparticle_perlayer" + istr1,
345  "Shared Energy of Layer Cluster per Layer Calo Particle for layer " + istr2,
346  nintSharedEneFrac_,
347  minSharedEneFrac_,
348  maxSharedEneFrac_);
349  histograms.h_sharedenergy_layercl2caloparticle_vs_eta_perlayer[ilayer] =
350  ibook.bookProfile("SharedEnergy_layercl2caloparticle_vs_eta_perlayer" + istr1,
351  "Shared Energy of LayerCluster vs #eta per best Calo Particle for layer " + istr2,
352  nintEta_,
353  minEta_,
354  maxEta_,
355  minSharedEneFrac_,
356  maxSharedEneFrac_);
357  histograms.h_sharedenergy_layercl2caloparticle_vs_phi_perlayer[ilayer] =
358  ibook.bookProfile("SharedEnergy_layercl2caloparticle_vs_phi_perlayer" + istr1,
359  "Shared Energy of LayerCluster vs #phi per best Calo Particle for layer " + istr2,
360  nintPhi_,
361  minPhi_,
362  maxPhi_,
363  minSharedEneFrac_,
364  maxSharedEneFrac_);
365  histograms.h_num_caloparticle_eta_perlayer[ilayer] =
366  ibook.book1D("Num_CaloParticle_Eta_perlayer" + istr1,
367  "Num CaloParticle Eta per Layer Cluster for layer " + istr2,
368  nintEta_,
369  minEta_,
370  maxEta_);
371  histograms.h_numDup_caloparticle_eta_perlayer[ilayer] =
372  ibook.book1D("NumDup_CaloParticle_Eta_perlayer" + istr1,
373  "Num Duplicate CaloParticle Eta per Layer Cluster for layer " + istr2,
374  nintEta_,
375  minEta_,
376  maxEta_);
377  histograms.h_denom_caloparticle_eta_perlayer[ilayer] =
378  ibook.book1D("Denom_CaloParticle_Eta_perlayer" + istr1,
379  "Denom CaloParticle Eta per Layer Cluster for layer " + istr2,
380  nintEta_,
381  minEta_,
382  maxEta_);
383  histograms.h_num_caloparticle_phi_perlayer[ilayer] =
384  ibook.book1D("Num_CaloParticle_Phi_perlayer" + istr1,
385  "Num CaloParticle Phi per Layer Cluster for layer " + istr2,
386  nintPhi_,
387  minPhi_,
388  maxPhi_);
389  histograms.h_numDup_caloparticle_phi_perlayer[ilayer] =
390  ibook.book1D("NumDup_CaloParticle_Phi_perlayer" + istr1,
391  "Num Duplicate CaloParticle Phi per Layer Cluster for layer " + istr2,
392  nintPhi_,
393  minPhi_,
394  maxPhi_);
395  histograms.h_denom_caloparticle_phi_perlayer[ilayer] =
396  ibook.book1D("Denom_CaloParticle_Phi_perlayer" + istr1,
397  "Denom CaloParticle Phi per Layer Cluster for layer " + istr2,
398  nintPhi_,
399  minPhi_,
400  maxPhi_);
401  histograms.h_num_layercl_eta_perlayer[ilayer] =
402  ibook.book1D("Num_LayerCluster_Eta_perlayer" + istr1,
403  "Num LayerCluster Eta per Layer Cluster for layer " + istr2,
404  nintEta_,
405  minEta_,
406  maxEta_);
407  histograms.h_numMerge_layercl_eta_perlayer[ilayer] =
408  ibook.book1D("NumMerge_LayerCluster_Eta_perlayer" + istr1,
409  "Num Merge LayerCluster Eta per Layer Cluster for layer " + istr2,
410  nintEta_,
411  minEta_,
412  maxEta_);
413  histograms.h_denom_layercl_eta_perlayer[ilayer] =
414  ibook.book1D("Denom_LayerCluster_Eta_perlayer" + istr1,
415  "Denom LayerCluster Eta per Layer Cluster for layer " + istr2,
416  nintEta_,
417  minEta_,
418  maxEta_);
419  histograms.h_num_layercl_phi_perlayer[ilayer] =
420  ibook.book1D("Num_LayerCluster_Phi_perlayer" + istr1,
421  "Num LayerCluster Phi per Layer Cluster for layer " + istr2,
422  nintPhi_,
423  minPhi_,
424  maxPhi_);
425  histograms.h_numMerge_layercl_phi_perlayer[ilayer] =
426  ibook.book1D("NumMerge_LayerCluster_Phi_perlayer" + istr1,
427  "Num Merge LayerCluster Phi per Layer Cluster for layer " + istr2,
428  nintPhi_,
429  minPhi_,
430  maxPhi_);
431  histograms.h_denom_layercl_phi_perlayer[ilayer] =
432  ibook.book1D("Denom_LayerCluster_Phi_perlayer" + istr1,
433  "Denom LayerCluster Phi per Layer Cluster for layer " + istr2,
434  nintPhi_,
435  minPhi_,
436  maxPhi_);
437  histograms.h_cellAssociation_perlayer[ilayer] =
438  ibook.book1D("cellAssociation_perlayer" + istr1, "Cell Association for layer " + istr2, 5, -4., 1.);
439  histograms.h_cellAssociation_perlayer[ilayer]->setBinLabel(2, "TN(purity)");
440  histograms.h_cellAssociation_perlayer[ilayer]->setBinLabel(3, "FN(ineff.)");
441  histograms.h_cellAssociation_perlayer[ilayer]->setBinLabel(4, "FP(fake)");
442  histograms.h_cellAssociation_perlayer[ilayer]->setBinLabel(5, "TP(eff.)");
443  }
444 
445  //---------------------------------------------------------------------------------------------------------------------------
446  for (std::vector<int>::iterator it = thicknesses.begin(); it != thicknesses.end(); ++it) {
447  auto istr = std::to_string(*it);
448  histograms.h_clusternum_perthick[(*it)] = ibook.book1D("totclusternum_thick_" + istr,
449  "total number of layer clusters for thickness " + istr,
450  nintTotNClsperthick_,
451  minTotNClsperthick_,
452  maxTotNClsperthick_);
453  //---
454  histograms.h_cellsenedens_perthick[(*it)] = ibook.book1D("cellsenedens_thick_" + istr,
455  "energy density of cluster cells for thickness " + istr,
456  nintCellsEneDensperthick_,
457  minCellsEneDensperthick_,
458  maxCellsEneDensperthick_);
459  }
460 
461  //---------------------------------------------------------------------------------------------------------------------------
462  //Not all combination exists but we should keep them all for cross checking reason.
463  for (std::vector<int>::iterator it = thicknesses.begin(); it != thicknesses.end(); ++it) {
464  for (unsigned ilayer = 0; ilayer < 2 * layers; ++ilayer) {
465  auto istr1 = std::to_string(*it);
466  auto istr2 = std::to_string(ilayer);
467  while (istr2.size() < 2)
468  istr2.insert(0, "0");
469  auto istr = istr1 + "_" + istr2;
470  //We will make a mapping to the regural layer naming plus z- or z+ for convenience
471  std::string istr3 = "";
472  //First with the -z endcap
473  if (ilayer < layers) {
474  istr3 = std::to_string(ilayer + 1) + " in z- ";
475  } else { //Then for the +z
476  istr3 = std::to_string(ilayer - (layers - 1)) + " in z+ ";
477  }
478  //---
479  histograms.h_cellsnum_perthickperlayer[istr] =
480  ibook.book1D("cellsnum_perthick_perlayer_" + istr,
481  "total number of cells for layer " + istr3 + " for thickness " + istr1,
482  nintTotNcellsperthickperlayer_,
483  minTotNcellsperthickperlayer_,
484  maxTotNcellsperthickperlayer_);
485  //---
486  histograms.h_distancetoseedcell_perthickperlayer[istr] =
487  ibook.book1D("distancetoseedcell_perthickperlayer_" + istr,
488  "distance of cluster cells to seed cell for layer " + istr3 + " for thickness " + istr1,
489  nintDisToSeedperthickperlayer_,
490  minDisToSeedperthickperlayer_,
491  maxDisToSeedperthickperlayer_);
492  //---
493  histograms.h_distancetoseedcell_perthickperlayer_eneweighted[istr] = ibook.book1D(
494  "distancetoseedcell_perthickperlayer_eneweighted_" + istr,
495  "energy weighted distance of cluster cells to seed cell for layer " + istr3 + " for thickness " + istr1,
496  nintDisToSeedperthickperlayerenewei_,
497  minDisToSeedperthickperlayerenewei_,
498  maxDisToSeedperthickperlayerenewei_);
499  //---
500  histograms.h_distancetomaxcell_perthickperlayer[istr] =
501  ibook.book1D("distancetomaxcell_perthickperlayer_" + istr,
502  "distance of cluster cells to max cell for layer " + istr3 + " for thickness " + istr1,
503  nintDisToMaxperthickperlayer_,
504  minDisToMaxperthickperlayer_,
505  maxDisToMaxperthickperlayer_);
506  //---
507  histograms.h_distancetomaxcell_perthickperlayer_eneweighted[istr] = ibook.book1D(
508  "distancetomaxcell_perthickperlayer_eneweighted_" + istr,
509  "energy weighted distance of cluster cells to max cell for layer " + istr3 + " for thickness " + istr1,
510  nintDisToMaxperthickperlayerenewei_,
511  minDisToMaxperthickperlayerenewei_,
512  maxDisToMaxperthickperlayerenewei_);
513  //---
514  histograms.h_distancebetseedandmaxcell_perthickperlayer[istr] =
515  ibook.book1D("distancebetseedandmaxcell_perthickperlayer_" + istr,
516  "distance of seed cell to max cell for layer " + istr3 + " for thickness " + istr1,
517  nintDisSeedToMaxperthickperlayer_,
518  minDisSeedToMaxperthickperlayer_,
519  maxDisSeedToMaxperthickperlayer_);
520  //---
521  histograms.h_distancebetseedandmaxcellvsclusterenergy_perthickperlayer[istr] = ibook.book2D(
522  "distancebetseedandmaxcellvsclusterenergy_perthickperlayer_" + istr,
523  "distance of seed cell to max cell vs cluster energy for layer " + istr3 + " for thickness " + istr1,
524  nintDisSeedToMaxperthickperlayer_,
525  minDisSeedToMaxperthickperlayer_,
526  maxDisSeedToMaxperthickperlayer_,
527  nintClEneperthickperlayer_,
528  minClEneperthickperlayer_,
529  maxClEneperthickperlayer_);
530  }
531  }
532  //---------------------------------------------------------------------------------------------------------------------------
533 }

References dqm::implementation::IBooker::book1D(), dqm::implementation::IBooker::book2D(), dqm::implementation::IBooker::bookProfile(), hgcalTopologyTester_cfi::layers, maxCellsEneDensperthick_, maxClEneperthickperlayer_, maxDisSeedToMaxperthickperlayer_, maxDisToMaxperthickperlayer_, maxDisToMaxperthickperlayerenewei_, maxDisToSeedperthickperlayer_, maxDisToSeedperthickperlayerenewei_, maxEneCl_, maxEneClperlay_, maxEta_, maxLongDepBary_, maxMixedHitsCluster_, maxPhi_, maxScore_, maxSharedEneFrac_, maxTotNcellsperthickperlayer_, maxTotNClsperlay_, maxTotNClsperthick_, minCellsEneDensperthick_, minClEneperthickperlayer_, minDisSeedToMaxperthickperlayer_, minDisToMaxperthickperlayer_, minDisToMaxperthickperlayerenewei_, minDisToSeedperthickperlayer_, minDisToSeedperthickperlayerenewei_, minEneCl_, minEneClperlay_, minEta_, minLongDepBary_, minMixedHitsCluster_, minPhi_, minScore_, minSharedEneFrac_, minTotNcellsperthickperlayer_, minTotNClsperlay_, minTotNClsperthick_, nintCellsEneDensperthick_, nintClEneperthickperlayer_, nintDisSeedToMaxperthickperlayer_, nintDisToMaxperthickperlayer_, nintDisToMaxperthickperlayerenewei_, nintDisToSeedperthickperlayer_, nintDisToSeedperthickperlayerenewei_, nintEneCl_, nintEneClperlay_, nintEta_, nintLongDepBary_, nintMixedHitsCluster_, nintPhi_, nintScore_, nintSharedEneFrac_, nintTotNcellsperthickperlayer_, nintTotNClsperlay_, nintTotNClsperthick_, and AlCaHLTBitMon_QueryRunRegistry::string.

◆ bookInfo()

void HGVHistoProducerAlgo::bookInfo ( DQMStore::IBooker &  ibook,
Histograms &  histograms 
)

Definition at line 186 of file HGVHistoProducerAlgo.cc.

186  {
187  histograms.lastLayerEEzm = ibook.bookInt("lastLayerEEzm");
188  histograms.lastLayerFHzm = ibook.bookInt("lastLayerFHzm");
189  histograms.maxlayerzm = ibook.bookInt("maxlayerzm");
190  histograms.lastLayerEEzp = ibook.bookInt("lastLayerEEzp");
191  histograms.lastLayerFHzp = ibook.bookInt("lastLayerFHzp");
192  histograms.maxlayerzp = ibook.bookInt("maxlayerzp");
193 }

References dqm::implementation::IBooker::bookInt().

◆ bookMultiClusterHistos()

void HGVHistoProducerAlgo::bookMultiClusterHistos ( DQMStore::IBooker &  ibook,
Histograms &  histograms,
unsigned  layers 
)

Definition at line 535 of file HGVHistoProducerAlgo.cc.

535  {
536  histograms.h_score_multicl2caloparticle.push_back(ibook.book1D(
537  "Score_multicl2caloparticle", "Score of Multi Cluster per CaloParticle", nintScore_, minScore_, maxScore_));
538  histograms.h_score_caloparticle2multicl.push_back(ibook.book1D(
539  "Score_caloparticle2multicl", "Score of CaloParticle per Multi Cluster", nintScore_, minScore_, maxScore_));
540  histograms.h_energy_vs_score_multicl2caloparticle.push_back(
541  ibook.book2D("Energy_vs_Score_multi2caloparticle",
542  "Energy vs Score of Multi Cluster per CaloParticle",
543  nintScore_,
544  minScore_,
545  maxScore_,
546  nintSharedEneFrac_,
547  minMCLSharedEneFrac_,
548  maxMCLSharedEneFrac_));
549  histograms.h_energy_vs_score_caloparticle2multicl.push_back(
550  ibook.book2D("Energy_vs_Score_caloparticle2multi",
551  "Energy vs Score of CaloParticle per Multi Cluster",
552  nintScore_,
553  minScore_,
554  maxScore_,
555  nintSharedEneFrac_,
556  minMCLSharedEneFrac_,
557  maxMCLSharedEneFrac_));
558 
559  //back to all multiclusters
560  histograms.h_num_multicl_eta.push_back(
561  ibook.book1D("Num_MultiCluster_Eta", "Num MultiCluster Eta per Multi Cluster ", nintEta_, minEta_, maxEta_));
562  histograms.h_numMerge_multicl_eta.push_back(ibook.book1D(
563  "NumMerge_MultiCluster_Eta", "Num Merge MultiCluster Eta per Multi Cluster ", nintEta_, minEta_, maxEta_));
564  histograms.h_denom_multicl_eta.push_back(
565  ibook.book1D("Denom_MultiCluster_Eta", "Denom MultiCluster Eta per Multi Cluster", nintEta_, minEta_, maxEta_));
566  histograms.h_num_multicl_phi.push_back(
567  ibook.book1D("Num_MultiCluster_Phi", "Num MultiCluster Phi per Multi Cluster ", nintPhi_, minPhi_, maxPhi_));
568  histograms.h_numMerge_multicl_phi.push_back(ibook.book1D(
569  "NumMerge_MultiCluster_Phi", "Num Merge MultiCluster Phi per Multi Cluster", nintPhi_, minPhi_, maxPhi_));
570  histograms.h_denom_multicl_phi.push_back(
571  ibook.book1D("Denom_MultiCluster_Phi", "Denom MultiCluster Phi per Multi Cluster", nintPhi_, minPhi_, maxPhi_));
572  histograms.h_sharedenergy_multicl2caloparticle.push_back(
573  ibook.book1D("SharedEnergy_multicluster2caloparticle",
574  "Shared Energy of Multi Cluster per Calo Particle in each layer",
575  nintSharedEneFrac_,
576  minMCLSharedEneFrac_,
577  maxMCLSharedEneFrac_));
578  histograms.h_sharedenergy_multicl2caloparticle_vs_eta.push_back(
579  ibook.bookProfile("SharedEnergy_multicl2caloparticle_vs_eta",
580  "Shared Energy of MultiCluster vs #eta per best Calo Particle in each layer",
581  nintEta_,
582  minEta_,
583  maxEta_,
584  minMCLSharedEneFrac_,
585  maxMCLSharedEneFrac_));
586  histograms.h_sharedenergy_multicl2caloparticle_vs_phi.push_back(
587  ibook.bookProfile("SharedEnergy_multicl2caloparticle_vs_phi",
588  "Shared Energy of MultiCluster vs #phi per best Calo Particle in each layer",
589  nintPhi_,
590  minPhi_,
591  maxPhi_,
592  minMCLSharedEneFrac_,
593  maxMCLSharedEneFrac_));
594  histograms.h_sharedenergy_caloparticle2multicl.push_back(
595  ibook.book1D("SharedEnergy_caloparticle2multicl",
596  "Shared Energy of CaloParticle per Multi Cluster",
597  nintSharedEneFrac_,
598  minMCLSharedEneFrac_,
599  maxMCLSharedEneFrac_));
600  histograms.h_sharedenergy_caloparticle2multicl_vs_eta.push_back(
601  ibook.bookProfile("SharedEnergy_caloparticle2multicl_vs_eta",
602  "Shared Energy of CaloParticle vs #eta per best Multi Cluster",
603  nintEta_,
604  minEta_,
605  maxEta_,
606  minMCLSharedEneFrac_,
607  maxMCLSharedEneFrac_));
608  histograms.h_sharedenergy_caloparticle2multicl_vs_phi.push_back(
609  ibook.bookProfile("SharedEnergy_caloparticle2multicl_vs_phi",
610  "Shared Energy of CaloParticle vs #phi per best Multi Cluster",
611  nintPhi_,
612  minPhi_,
613  maxPhi_,
614  minMCLSharedEneFrac_,
615  maxMCLSharedEneFrac_));
616  histograms.h_num_caloparticle_eta.push_back(
617  ibook.book1D("Num_CaloParticle_Eta", "Num CaloParticle Eta per Multi Cluster", nintEta_, minEta_, maxEta_));
618  histograms.h_numDup_multicl_eta.push_back(
619  ibook.book1D("NumDup_MultiCluster_Eta", "Num Duplicate MultiCl vs Eta", nintEta_, minEta_, maxEta_));
620  histograms.h_denom_caloparticle_eta.push_back(
621  ibook.book1D("Denom_CaloParticle_Eta", "Denom CaloParticle Eta per Multi Cluster", nintEta_, minEta_, maxEta_));
622  histograms.h_num_caloparticle_phi.push_back(
623  ibook.book1D("Num_CaloParticle_Phi", "Num CaloParticle Phi per Multi Cluster", nintPhi_, minPhi_, maxPhi_));
624  histograms.h_numDup_multicl_phi.push_back(
625  ibook.book1D("NumDup_MultiCluster_Phi", "Num Duplicate MultiCl vs Phi", nintPhi_, minPhi_, maxPhi_));
626  histograms.h_denom_caloparticle_phi.push_back(
627  ibook.book1D("Denom_CaloParticle_Phi", "Denom CaloParticle Phi per Multi Cluster", nintPhi_, minPhi_, maxPhi_));
628 
629  std::unordered_map<int, dqm::reco::MonitorElement*> clusternum_in_multicluster_perlayer;
630  clusternum_in_multicluster_perlayer.clear();
631 
632  for (unsigned ilayer = 0; ilayer < 2 * layers; ++ilayer) {
633  auto istr1 = std::to_string(ilayer);
634  while (istr1.size() < 2) {
635  istr1.insert(0, "0");
636  }
637  //We will make a mapping to the regural layer naming plus z- or z+ for convenience
638  std::string istr2 = "";
639  //First with the -z endcap
640  if (ilayer < layers) {
641  istr2 = std::to_string(ilayer + 1) + " in z-";
642  } else { //Then for the +z
643  istr2 = std::to_string(ilayer - (layers - 1)) + " in z+";
644  }
645 
646  clusternum_in_multicluster_perlayer[ilayer] =
647  ibook.book1D("clusternum_in_multicluster_perlayer" + istr1,
648  "Number of layer clusters in multicluster for layer " + istr2,
649  nintTotNClsinMCLsperlayer_,
650  minTotNClsinMCLsperlayer_,
651  maxTotNClsinMCLsperlayer_);
652  }
653 
654  histograms.h_clusternum_in_multicluster_perlayer.push_back(std::move(clusternum_in_multicluster_perlayer));
655 
656  histograms.h_multiclusternum.push_back(
657  ibook.book1D("totmulticlusternum", "total number of multiclusters", nintTotNMCLs_, minTotNMCLs_, maxTotNMCLs_));
658 
659  histograms.h_contmulticlusternum.push_back(ibook.book1D("contmulticlusternum",
660  "number of multiclusters with 3 contiguous layers",
661  nintTotNMCLs_,
662  minTotNMCLs_,
663  maxTotNMCLs_));
664 
665  histograms.h_noncontmulticlusternum.push_back(ibook.book1D("noncontmulticlusternum",
666  "number of multiclusters without 3 contiguous layers",
667  nintTotNMCLs_,
668  minTotNMCLs_,
669  maxTotNMCLs_));
670 
671  histograms.h_clusternum_in_multicluster.push_back(ibook.book1D("clusternum_in_multicluster",
672  "total number of layer clusters in multicluster",
673  nintTotNClsinMCLs_,
674  minTotNClsinMCLs_,
675  maxTotNClsinMCLs_));
676 
677  histograms.h_clusternum_in_multicluster_vs_layer.push_back(
678  ibook.bookProfile("clusternum_in_multicluster_vs_layer",
679  "Profile of 2d layer clusters in multicluster vs layer number",
680  2 * layers,
681  0.,
682  2. * layers,
683  minTotNClsinMCLsperlayer_,
684  maxTotNClsinMCLsperlayer_));
685 
686  histograms.h_multiplicityOfLCinMCL.push_back(ibook.book2D("multiplicityOfLCinMCL",
687  "Multiplicity vs Layer cluster size in Multiclusters",
688  nintMplofLCs_,
689  minMplofLCs_,
690  maxMplofLCs_,
691  nintSizeCLsinMCLs_,
692  minSizeCLsinMCLs_,
693  maxSizeCLsinMCLs_));
694 
695  histograms.h_multiplicity_numberOfEventsHistogram.push_back(ibook.book1D("multiplicity_numberOfEventsHistogram",
696  "multiplicity numberOfEventsHistogram",
697  nintMplofLCs_,
698  minMplofLCs_,
699  maxMplofLCs_));
700 
701  histograms.h_multiplicity_zminus_numberOfEventsHistogram.push_back(
702  ibook.book1D("multiplicity_zminus_numberOfEventsHistogram",
703  "multiplicity numberOfEventsHistogram in z-",
704  nintMplofLCs_,
705  minMplofLCs_,
706  maxMplofLCs_));
707 
708  histograms.h_multiplicity_zplus_numberOfEventsHistogram.push_back(
709  ibook.book1D("multiplicity_zplus_numberOfEventsHistogram",
710  "multiplicity numberOfEventsHistogram in z+",
711  nintMplofLCs_,
712  minMplofLCs_,
713  maxMplofLCs_));
714 
715  histograms.h_multiplicityOfLCinMCL_vs_layercluster_zminus.push_back(
716  ibook.book2D("multiplicityOfLCinMCL_vs_layercluster_zminus",
717  "Multiplicity vs Layer number in z-",
718  nintMplofLCs_,
719  minMplofLCs_,
720  maxMplofLCs_,
721  layers,
722  0.,
723  (float)layers));
724 
725  histograms.h_multiplicityOfLCinMCL_vs_layercluster_zplus.push_back(
726  ibook.book2D("multiplicityOfLCinMCL_vs_layercluster_zplus",
727  "Multiplicity vs Layer number in z+",
728  nintMplofLCs_,
729  minMplofLCs_,
730  maxMplofLCs_,
731  layers,
732  0.,
733  (float)layers));
734 
735  histograms.h_multiplicityOfLCinMCL_vs_layerclusterenergy.push_back(
736  ibook.book2D("multiplicityOfLCinMCL_vs_layerclusterenergy",
737  "Multiplicity vs Layer cluster energy",
738  nintMplofLCs_,
739  minMplofLCs_,
740  maxMplofLCs_,
741  nintClEnepermultiplicity_,
742  minClEnepermultiplicity_,
743  maxClEnepermultiplicity_));
744 
745  histograms.h_multicluster_pt.push_back(
746  ibook.book1D("multicluster_pt", "Pt of the multicluster", nintPt_, minPt_, maxPt_));
747  histograms.h_multicluster_eta.push_back(
748  ibook.book1D("multicluster_eta", "Eta of the multicluster", nintEta_, minEta_, maxEta_));
749  histograms.h_multicluster_phi.push_back(
750  ibook.book1D("multicluster_phi", "Phi of the multicluster", nintPhi_, minPhi_, maxPhi_));
751  histograms.h_multicluster_energy.push_back(
752  ibook.book1D("multicluster_energy", "Energy of the multicluster", nintEne_, minEne_, maxEne_));
753  histograms.h_multicluster_x.push_back(
754  ibook.book1D("multicluster_x", "X position of the multicluster", nintX_, minX_, maxX_));
755  histograms.h_multicluster_y.push_back(
756  ibook.book1D("multicluster_y", "Y position of the multicluster", nintY_, minY_, maxY_));
757  histograms.h_multicluster_z.push_back(
758  ibook.book1D("multicluster_z", "Z position of the multicluster", nintZ_, minZ_, maxZ_));
759  histograms.h_multicluster_firstlayer.push_back(
760  ibook.book1D("multicluster_firstlayer", "First layer of the multicluster", 2 * layers, 0., (float)2 * layers));
761  histograms.h_multicluster_lastlayer.push_back(
762  ibook.book1D("multicluster_lastlayer", "Last layer of the multicluster", 2 * layers, 0., (float)2 * layers));
763  histograms.h_multicluster_layersnum.push_back(ibook.book1D(
764  "multicluster_layersnum", "Number of layers of the multicluster", 2 * layers, 0., (float)2 * layers));
765 }

References dqm::implementation::IBooker::book1D(), dqm::implementation::IBooker::book2D(), dqm::implementation::IBooker::bookProfile(), hgcalTopologyTester_cfi::layers, maxClEnepermultiplicity_, maxEne_, maxEta_, maxMCLSharedEneFrac_, maxMplofLCs_, maxPhi_, maxPt_, maxScore_, maxSizeCLsinMCLs_, maxTotNClsinMCLs_, maxTotNClsinMCLsperlayer_, maxTotNMCLs_, maxX_, maxY_, maxZ_, minClEnepermultiplicity_, minEne_, minEta_, minMCLSharedEneFrac_, minMplofLCs_, minPhi_, minPt_, minScore_, minSizeCLsinMCLs_, minTotNClsinMCLs_, minTotNClsinMCLsperlayer_, minTotNMCLs_, minX_, minY_, minZ_, eostools::move(), nintClEnepermultiplicity_, nintEne_, nintEta_, nintMplofLCs_, nintPhi_, nintPt_, nintScore_, nintSharedEneFrac_, nintSizeCLsinMCLs_, nintTotNClsinMCLs_, nintTotNClsinMCLsperlayer_, nintTotNMCLs_, nintX_, nintY_, nintZ_, and AlCaHLTBitMon_QueryRunRegistry::string.

◆ distance()

double HGVHistoProducerAlgo::distance ( const double  x1,
const double  y1,
const double  x2,
const double  y2 
) const

Definition at line 2208 of file HGVHistoProducerAlgo.cc.

2211  { //2-d distance on the layer (x-y)
2212  return std::sqrt(distance2(x1, y1, x2, y2));
2213 }

References distance2(), mathSSE::sqrt(), testProducerWithPsetDescEmpty_cfi::x1, testProducerWithPsetDescEmpty_cfi::x2, testProducerWithPsetDescEmpty_cfi::y1, and testProducerWithPsetDescEmpty_cfi::y2.

Referenced by fill_generic_cluster_histos().

◆ distance2()

double HGVHistoProducerAlgo::distance2 ( const double  x1,
const double  y1,
const double  x2,
const double  y2 
) const

Definition at line 2200 of file HGVHistoProducerAlgo.cc.

2203  { //distance squared
2204  const double dx = x1 - x2;
2205  const double dy = y1 - y2;
2206  return (dx * dx + dy * dy);
2207 } //distance squaredq

References PVValHelper::dx, PVValHelper::dy, testProducerWithPsetDescEmpty_cfi::x1, testProducerWithPsetDescEmpty_cfi::x2, testProducerWithPsetDescEmpty_cfi::y1, and testProducerWithPsetDescEmpty_cfi::y2.

Referenced by distance().

◆ fill_caloparticle_histos()

void HGVHistoProducerAlgo::fill_caloparticle_histos ( const Histograms &  histograms,
int  pdgid,
const CaloParticle &  caloparticle,
std::vector< SimVertex > const &  simVertices 
) const

Definition at line 780 of file HGVHistoProducerAlgo.cc.

783  {
784  const auto eta = getEta(caloparticle.eta());
785  if (histograms.h_caloparticle_eta.count(pdgid)) {
786  histograms.h_caloparticle_eta.at(pdgid)->Fill(eta);
787  }
788  if (histograms.h_caloparticle_eta_Zorigin.count(pdgid)) {
789  histograms.h_caloparticle_eta_Zorigin.at(pdgid)->Fill(
790  simVertices.at(caloparticle.g4Tracks()[0].vertIndex()).position().z(), eta);
791  }
792 
793  if (histograms.h_caloparticle_energy.count(pdgid)) {
794  histograms.h_caloparticle_energy.at(pdgid)->Fill(caloparticle.energy());
795  }
796  if (histograms.h_caloparticle_pt.count(pdgid)) {
797  histograms.h_caloparticle_pt.at(pdgid)->Fill(caloparticle.pt());
798  }
799  if (histograms.h_caloparticle_phi.count(pdgid)) {
800  histograms.h_caloparticle_phi.at(pdgid)->Fill(caloparticle.phi());
801  }
802 }

References CaloParticle::energy(), PVValHelper::eta, CaloParticle::eta(), CaloParticle::g4Tracks(), getEta(), EgammaValidation_cff::pdgid, CaloParticle::phi(), position, CaloParticle::pt(), and HGCalValidator_cfi::simVertices.

◆ fill_cluster_histos()

void HGVHistoProducerAlgo::fill_cluster_histos ( const Histograms &  histograms,
int  count,
const reco::CaloCluster &  cluster 
) const

Definition at line 804 of file HGVHistoProducerAlgo.cc.

806  {
807  const auto eta = getEta(cluster.eta());
808  histograms.h_cluster_eta[count]->Fill(eta);
809 }

References submitPVResolutionJobs::count, PVValHelper::eta, reco::CaloCluster::eta(), and getEta().

◆ fill_generic_cluster_histos()

void HGVHistoProducerAlgo::fill_generic_cluster_histos ( const Histograms &  histograms,
int  count,
edm::Handle< reco::CaloClusterCollection >  clusterHandle,
const reco::CaloClusterCollection &  clusters,
const Density &  densities,
edm::Handle< std::vector< CaloParticle >>  caloParticleHandle,
std::vector< CaloParticle > const &  cP,
std::vector< size_t > const &  cPIndices,
std::vector< size_t > const &  cPSelectedIndices,
std::unordered_map< DetId, const HGCRecHit * > const &  hitMap,
std::map< double, double >  cummatbudg,
unsigned  layers,
std::vector< int >  thicknesses,
edm::Handle< hgcal::LayerClusterToCaloParticleAssociator > &  LCAssocByEnergyScoreHandle 
) const

Definition at line 1082 of file HGVHistoProducerAlgo.cc.

1096  {
1097  //Each event to be treated as two events: an event in +ve endcap,
1098  //plus another event in -ve endcap. In this spirit there will be
1099  //a layer variable (layerid) that maps the layers in :
1100  //-z: 0->51
1101  //+z: 52->103
1102 
1103  //To keep track of total num of layer clusters per layer
1104  //tnlcpl[layerid]
1105  std::vector<int> tnlcpl(1000, 0); //tnlcpl.clear(); tnlcpl.reserve(1000);
1106 
1107  //To keep track of the total num of clusters per thickness in plus and in minus endcaps
1108  std::map<std::string, int> tnlcpthplus;
1109  tnlcpthplus.clear();
1110  std::map<std::string, int> tnlcpthminus;
1111  tnlcpthminus.clear();
1112  //At the beginning of the event all layers should be initialized to zero total clusters per thickness
1113  for (std::vector<int>::iterator it = thicknesses.begin(); it != thicknesses.end(); ++it) {
1114  tnlcpthplus.insert(std::pair<std::string, int>(std::to_string(*it), 0));
1115  tnlcpthminus.insert(std::pair<std::string, int>(std::to_string(*it), 0));
1116  }
1117  //To keep track of the total num of clusters with mixed thickness hits per event
1118  tnlcpthplus.insert(std::pair<std::string, int>("mixed", 0));
1119  tnlcpthminus.insert(std::pair<std::string, int>("mixed", 0));
1120 
1121  layerClusters_to_CaloParticles(histograms,
1122  clusterHandle,
1123  clusters,
1124  caloParticleHandle,
1125  cP,
1126  cPIndices,
1127  cPSelectedIndices,
1128  hitMap,
1129  layers,
1130  LCAssocByEnergyScoreHandle);
1131 
1132  //To find out the total amount of energy clustered per layer
1133  //Initialize with zeros because I see clear gives weird numbers.
1134  std::vector<double> tecpl(1000, 0.0); //tecpl.clear(); tecpl.reserve(1000);
1135  //for the longitudinal depth barycenter
1136  std::vector<double> ldbar(1000, 0.0); //ldbar.clear(); ldbar.reserve(1000);
1137 
1138  //We need to compare with the total amount of energy coming from caloparticles
1139  double caloparteneplus = 0.;
1140  double caloparteneminus = 0.;
1141  for (const auto& cpId : cPIndices) {
1142  if (cP[cpId].eta() >= 0.) {
1143  caloparteneplus = caloparteneplus + cP[cpId].energy();
1144  }
1145  if (cP[cpId].eta() < 0.) {
1146  caloparteneminus = caloparteneminus + cP[cpId].energy();
1147  }
1148  }
1149 
1150  //loop through clusters of the event
1151  for (unsigned int layerclusterIndex = 0; layerclusterIndex < clusters.size(); layerclusterIndex++) {
1152  const std::vector<std::pair<DetId, float>> hits_and_fractions = clusters[layerclusterIndex].hitsAndFractions();
1153 
1154  const DetId seedid = clusters[layerclusterIndex].seed();
1155  const double seedx = recHitTools_->getPosition(seedid).x();
1156  const double seedy = recHitTools_->getPosition(seedid).y();
1157  DetId maxid = findmaxhit(clusters[layerclusterIndex], hitMap);
1158 
1159  // const DetId maxid = clusters[layerclusterIndex].max();
1160  double maxx = recHitTools_->getPosition(maxid).x();
1161  double maxy = recHitTools_->getPosition(maxid).y();
1162 
1163  //Auxillary variables to count the number of different kind of hits in each cluster
1164  int nthhits120p = 0;
1165  int nthhits200p = 0;
1166  int nthhits300p = 0;
1167  int nthhitsscintp = 0;
1168  int nthhits120m = 0;
1169  int nthhits200m = 0;
1170  int nthhits300m = 0;
1171  int nthhitsscintm = 0;
1172  //For the hits thickness of the layer cluster.
1173  double thickness = 0.;
1174  //The layer the cluster belongs to. As mentioned in the mapping above, it takes into account -z and +z.
1175  int layerid = 0;
1176  //We will need another layer variable for the longitudinal material budget file reading.
1177  //In this case we need no distinction between -z and +z.
1178  int lay = 0;
1179  //We will need here to save the combination thick_lay
1180  std::string istr = "";
1181  //boolean to check for the layer that the cluster belong to. Maybe later will check all the layer hits.
1182  bool cluslay = true;
1183  //zside that the current cluster belongs to.
1184  int zside = 0;
1185 
1186  for (std::vector<std::pair<DetId, float>>::const_iterator it_haf = hits_and_fractions.begin();
1187  it_haf != hits_and_fractions.end();
1188  ++it_haf) {
1189  const DetId rh_detid = it_haf->first;
1190  //The layer that the current hit belongs to
1191  layerid = recHitTools_->getLayerWithOffset(rh_detid) + layers * ((recHitTools_->zside(rh_detid) + 1) >> 1) - 1;
1192  lay = recHitTools_->getLayerWithOffset(rh_detid);
1193  zside = recHitTools_->zside(rh_detid);
1194  if (rh_detid.det() == DetId::Forward || rh_detid.det() == DetId::HGCalEE || rh_detid.det() == DetId::HGCalHSi) {
1195  thickness = recHitTools_->getSiThickness(rh_detid);
1196  } else if (rh_detid.det() == DetId::HGCalHSc) {
1197  thickness = -1;
1198  } else {
1199  LogDebug("HGCalValidator") << "These are HGCal layer clusters, you shouldn't be here !!! " << layerid << "\n";
1200  continue;
1201  }
1202 
1203  //Count here only once the layer cluster and save the combination thick_layerid
1204  std::string curistr = std::to_string((int)thickness);
1205  std::string lay_string = std::to_string(layerid);
1206  while (lay_string.size() < 2)
1207  lay_string.insert(0, "0");
1208  curistr += "_" + lay_string;
1209  if (cluslay) {
1210  tnlcpl[layerid]++;
1211  istr = curistr;
1212  cluslay = false;
1213  }
1214 
1215  if ((thickness == 120.) && (recHitTools_->zside(rh_detid) > 0.)) {
1216  nthhits120p++;
1217  } else if ((thickness == 120.) && (recHitTools_->zside(rh_detid) < 0.)) {
1218  nthhits120m++;
1219  } else if ((thickness == 200.) && (recHitTools_->zside(rh_detid) > 0.)) {
1220  nthhits200p++;
1221  } else if ((thickness == 200.) && (recHitTools_->zside(rh_detid) < 0.)) {
1222  nthhits200m++;
1223  } else if ((thickness == 300.) && (recHitTools_->zside(rh_detid) > 0.)) {
1224  nthhits300p++;
1225  } else if ((thickness == 300.) && (recHitTools_->zside(rh_detid) < 0.)) {
1226  nthhits300m++;
1227  } else if ((thickness == -1) && (recHitTools_->zside(rh_detid) > 0.)) {
1228  nthhitsscintp++;
1229  } else if ((thickness == -1) && (recHitTools_->zside(rh_detid) < 0.)) {
1230  nthhitsscintm++;
1231  } else { //assert(0);
1232  LogDebug("HGCalValidator")
1233  << " You are running a geometry that contains thicknesses different than the normal ones. "
1234  << "\n";
1235  }
1236 
1237  std::unordered_map<DetId, const HGCRecHit*>::const_iterator itcheck = hitMap.find(rh_detid);
1238  if (itcheck == hitMap.end()) {
1239  LogDebug("HGCalValidator") << " You shouldn't be here - Unable to find a hit " << rh_detid.rawId() << " "
1240  << rh_detid.det() << " " << HGCalDetId(rh_detid) << "\n";
1241  continue;
1242  }
1243 
1244  const HGCRecHit* hit = itcheck->second;
1245 
1246  //Here for the per cell plots
1247  //----
1248  const double hit_x = recHitTools_->getPosition(rh_detid).x();
1249  const double hit_y = recHitTools_->getPosition(rh_detid).y();
1250  double distancetoseed = distance(seedx, seedy, hit_x, hit_y);
1251  double distancetomax = distance(maxx, maxy, hit_x, hit_y);
1252  if (distancetoseed != 0. && histograms.h_distancetoseedcell_perthickperlayer.count(curistr)) {
1253  histograms.h_distancetoseedcell_perthickperlayer.at(curistr)->Fill(distancetoseed);
1254  }
1255  //----
1256  if (distancetoseed != 0. && histograms.h_distancetoseedcell_perthickperlayer_eneweighted.count(curistr)) {
1257  histograms.h_distancetoseedcell_perthickperlayer_eneweighted.at(curistr)->Fill(distancetoseed, hit->energy());
1258  }
1259  //----
1260  if (distancetomax != 0. && histograms.h_distancetomaxcell_perthickperlayer.count(curistr)) {
1261  histograms.h_distancetomaxcell_perthickperlayer.at(curistr)->Fill(distancetomax);
1262  }
1263  //----
1264  if (distancetomax != 0. && histograms.h_distancetomaxcell_perthickperlayer_eneweighted.count(curistr)) {
1265  histograms.h_distancetomaxcell_perthickperlayer_eneweighted.at(curistr)->Fill(distancetomax, hit->energy());
1266  }
1267 
1268  //Let's check the density
1269  std::map<DetId, float>::const_iterator dit = densities.find(rh_detid);
1270  if (dit == densities.end()) {
1271  LogDebug("HGCalValidator") << " You shouldn't be here - Unable to find a density " << rh_detid.rawId() << " "
1272  << rh_detid.det() << " " << HGCalDetId(rh_detid) << "\n";
1273  continue;
1274  }
1275 
1276  if (histograms.h_cellsenedens_perthick.count((int)thickness)) {
1277  histograms.h_cellsenedens_perthick.at((int)thickness)->Fill(dit->second);
1278  }
1279 
1280  } // end of loop through hits and fractions
1281 
1282  //Check for simultaneously having hits of different kind. Checking at least two combinations is sufficient.
1283  if ((nthhits120p != 0 && nthhits200p != 0) || (nthhits120p != 0 && nthhits300p != 0) ||
1284  (nthhits120p != 0 && nthhitsscintp != 0) || (nthhits200p != 0 && nthhits300p != 0) ||
1285  (nthhits200p != 0 && nthhitsscintp != 0) || (nthhits300p != 0 && nthhitsscintp != 0)) {
1286  tnlcpthplus["mixed"]++;
1287  } else if ((nthhits120p != 0 || nthhits200p != 0 || nthhits300p != 0 || nthhitsscintp != 0)) {
1288  //This is a cluster with hits of one kind
1289  tnlcpthplus[std::to_string((int)thickness)]++;
1290  }
1291  if ((nthhits120m != 0 && nthhits200m != 0) || (nthhits120m != 0 && nthhits300m != 0) ||
1292  (nthhits120m != 0 && nthhitsscintm != 0) || (nthhits200m != 0 && nthhits300m != 0) ||
1293  (nthhits200m != 0 && nthhitsscintm != 0) || (nthhits300m != 0 && nthhitsscintm != 0)) {
1294  tnlcpthminus["mixed"]++;
1295  } else if ((nthhits120m != 0 || nthhits200m != 0 || nthhits300m != 0 || nthhitsscintm != 0)) {
1296  //This is a cluster with hits of one kind
1297  tnlcpthminus[std::to_string((int)thickness)]++;
1298  }
1299 
1300  //To find the thickness with the biggest amount of cells
1301  std::vector<int> bigamoth;
1302  bigamoth.clear();
1303  if (zside > 0) {
1304  bigamoth.push_back(nthhits120p);
1305  bigamoth.push_back(nthhits200p);
1306  bigamoth.push_back(nthhits300p);
1307  bigamoth.push_back(nthhitsscintp);
1308  }
1309  if (zside < 0) {
1310  bigamoth.push_back(nthhits120m);
1311  bigamoth.push_back(nthhits200m);
1312  bigamoth.push_back(nthhits300m);
1313  bigamoth.push_back(nthhitsscintm);
1314  }
1315  auto bgth = std::max_element(bigamoth.begin(), bigamoth.end());
1316  istr = std::to_string(thicknesses[std::distance(bigamoth.begin(), bgth)]);
1317  std::string lay_string = std::to_string(layerid);
1318  while (lay_string.size() < 2)
1319  lay_string.insert(0, "0");
1320  istr += "_" + lay_string;
1321 
1322  //Here for the per cluster plots that need the thickness_layer info
1323  if (histograms.h_cellsnum_perthickperlayer.count(istr)) {
1324  histograms.h_cellsnum_perthickperlayer.at(istr)->Fill(hits_and_fractions.size());
1325  }
1326 
1327  //Now, with the distance between seed and max cell.
1328  double distancebetseedandmax = distance(seedx, seedy, maxx, maxy);
1329  //The thickness_layer combination in this case will use the thickness of the seed as a convention.
1330  std::string seedstr = std::to_string((int)recHitTools_->getSiThickness(seedid)) + "_" + std::to_string(layerid);
1331  seedstr += "_" + lay_string;
1332  if (histograms.h_distancebetseedandmaxcell_perthickperlayer.count(seedstr)) {
1333  histograms.h_distancebetseedandmaxcell_perthickperlayer.at(seedstr)->Fill(distancebetseedandmax);
1334  }
1335  if (histograms.h_distancebetseedandmaxcellvsclusterenergy_perthickperlayer.count(seedstr)) {
1336  histograms.h_distancebetseedandmaxcellvsclusterenergy_perthickperlayer.at(seedstr)->Fill(
1337  distancebetseedandmax, clusters[layerclusterIndex].energy());
1338  }
1339 
1340  //Energy clustered per layer
1341  tecpl[layerid] = tecpl[layerid] + clusters[layerclusterIndex].energy();
1342  ldbar[layerid] = ldbar[layerid] + clusters[layerclusterIndex].energy() * cummatbudg[(double)lay];
1343 
1344  } //end of loop through clusters of the event
1345 
1346  //After the end of the event we can now fill with the results.
1347  //First a couple of variables to keep the sum of the energy of all clusters
1348  double sumeneallcluspl = 0.;
1349  double sumeneallclusmi = 0.;
1350  //And the longitudinal variable
1351  double sumldbarpl = 0.;
1352  double sumldbarmi = 0.;
1353  //Per layer : Loop 0->103
1354  for (unsigned ilayer = 0; ilayer < layers * 2; ++ilayer) {
1355  if (histograms.h_clusternum_perlayer.count(ilayer)) {
1356  histograms.h_clusternum_perlayer.at(ilayer)->Fill(tnlcpl[ilayer]);
1357  }
1358  // Two times one for plus and one for minus
1359  //First with the -z endcap
1360  if (ilayer < layers) {
1361  if (histograms.h_energyclustered_perlayer.count(ilayer)) {
1362  if (caloparteneminus != 0.) {
1363  histograms.h_energyclustered_perlayer.at(ilayer)->Fill(100. * tecpl[ilayer] / caloparteneminus);
1364  }
1365  }
1366  //Keep here the total energy for the event in -z
1367  sumeneallclusmi = sumeneallclusmi + tecpl[ilayer];
1368  //And for the longitudinal variable
1369  sumldbarmi = sumldbarmi + ldbar[ilayer];
1370  } else { //Then for the +z
1371  if (histograms.h_energyclustered_perlayer.count(ilayer)) {
1372  if (caloparteneplus != 0.) {
1373  histograms.h_energyclustered_perlayer.at(ilayer)->Fill(100. * tecpl[ilayer] / caloparteneplus);
1374  }
1375  }
1376  //Keep here the total energy for the event in -z
1377  sumeneallcluspl = sumeneallcluspl + tecpl[ilayer];
1378  //And for the longitudinal variable
1379  sumldbarpl = sumldbarpl + ldbar[ilayer];
1380  } //end of +z loop
1381 
1382  } //end of loop over layers
1383 
1384  //Per thickness
1385  for (std::vector<int>::iterator it = thicknesses.begin(); it != thicknesses.end(); ++it) {
1386  if (histograms.h_clusternum_perthick.count(*it)) {
1387  histograms.h_clusternum_perthick.at(*it)->Fill(tnlcpthplus[std::to_string(*it)]);
1388  histograms.h_clusternum_perthick.at(*it)->Fill(tnlcpthminus[std::to_string(*it)]);
1389  }
1390  }
1391  //Mixed thickness clusters
1392  histograms.h_mixedhitscluster_zplus[count]->Fill(tnlcpthplus["mixed"]);
1393  histograms.h_mixedhitscluster_zminus[count]->Fill(tnlcpthminus["mixed"]);
1394 
1395  //Total energy clustered from all layer clusters (fraction)
1396  if (caloparteneplus != 0.) {
1397  histograms.h_energyclustered_zplus[count]->Fill(100. * sumeneallcluspl / caloparteneplus);
1398  }
1399  if (caloparteneminus != 0.) {
1400  histograms.h_energyclustered_zminus[count]->Fill(100. * sumeneallclusmi / caloparteneminus);
1401  }
1402 
1403  //For the longitudinal depth barycenter
1404  histograms.h_longdepthbarycentre_zplus[count]->Fill(sumldbarpl / sumeneallcluspl);
1405  histograms.h_longdepthbarycentre_zminus[count]->Fill(sumldbarmi / sumeneallclusmi);
1406 }

References bsc_activity_cfg::clusters, submitPVResolutionJobs::count, DetId::det(), distance(), HLT_FULL_cff::distance, HCALHighEnergyHPDFilter_cfi::energy, PVValHelper::eta, findmaxhit(), DetId::Forward, DetId::HGCalEE, DetId::HGCalHSc, DetId::HGCalHSi, layerClusters_to_CaloParticles(), hgcalTopologyTester_cfi::layers, LogDebug, DetId::rawId(), recHitTools_, AlCaHLTBitMon_QueryRunRegistry::string, Calorimetry_cff::thickness, trackerHitRTTI::vector, and ecaldqm::zside().

◆ fill_info_histos()

void HGVHistoProducerAlgo::fill_info_histos ( const Histograms &  histograms,
unsigned  layers 
) const

Definition at line 767 of file HGVHistoProducerAlgo.cc.

767  {
768  //We will save some info straight from geometry to avoid mistakes from updates
769  //----------- TODO ----------------------------------------------------------
770  //For now values returned for 'lastLayerFHzp': '104', 'lastLayerFHzm': '52' are not the one expected.
771  //Will come back to this when there will be info in CMSSW to put in DQM file.
772  histograms.lastLayerEEzm->Fill(recHitTools_->lastLayerEE());
773  histograms.lastLayerFHzm->Fill(recHitTools_->lastLayerFH());
774  histograms.maxlayerzm->Fill(layers);
775  histograms.lastLayerEEzp->Fill(recHitTools_->lastLayerEE() + layers);
776  histograms.lastLayerFHzp->Fill(recHitTools_->lastLayerFH() + layers);
777  histograms.maxlayerzp->Fill(layers + layers);
778 }

References hgcalTopologyTester_cfi::layers, and recHitTools_.

◆ fill_multi_cluster_histos()

void HGVHistoProducerAlgo::fill_multi_cluster_histos ( const Histograms &  histograms,
int  count,
const std::vector< reco::HGCalMultiCluster > &  multiClusters,
std::vector< CaloParticle > const &  cP,
std::vector< size_t > const &  cPIndices,
std::vector< size_t > const &  cPSelectedIndices,
std::unordered_map< DetId, const HGCRecHit * > const &  hitMap,
unsigned  layers 
) const

Definition at line 2014 of file HGVHistoProducerAlgo.cc.

2021  {
2022  //Each event to be treated as two events:
2023  //an event in +ve endcap, plus another event in -ve endcap.
2024 
2025  //To keep track of total num of multiclusters
2026  int tnmclmz = 0; //-z
2027  int tnmclpz = 0; //+z
2028  //To count the number of multiclusters with 3 contiguous layers per event.
2029  int tncontmclpz = 0; //+z
2030  int tncontmclmz = 0; //-z
2031  //For the number of multiclusters without 3 contiguous layers per event.
2032  int tnnoncontmclpz = 0; //+z
2033  int tnnoncontmclmz = 0; //-z
2034  //We want to check below the score of cont and non cont multiclusters
2035  std::vector<bool> contmulti;
2036  contmulti.clear();
2037 
2038  //[mclId]-> vector of 2d layer clusters size
2039  std::unordered_map<unsigned int, std::vector<unsigned int>> multiplicity;
2040  //[mclId]-> [layer][cluster size]
2041  std::unordered_map<unsigned int, std::vector<unsigned int>> multiplicity_vs_layer;
2042  //We will need for the scale text option
2043  // unsigned int totallcinmcls = 0;
2044  // for (unsigned int mclId = 0; mclId < nMultiClusters; ++mclId) {
2045  // totallcinmcls = totallcinmcls + multiClusters[mclId].clusters().size();
2046  // }
2047 
2048  auto nMultiClusters = multiClusters.size();
2049  //loop through multiclusters of the event
2050  for (unsigned int mclId = 0; mclId < nMultiClusters; ++mclId) {
2051  const auto layerClusters = multiClusters[mclId].clusters();
2052  auto nLayerClusters = layerClusters.size();
2053 
2054  if (nLayerClusters == 0)
2055  continue;
2056 
2057  if (multiClusters[mclId].z() < 0.) {
2058  tnmclmz++;
2059  }
2060  if (multiClusters[mclId].z() > 0.) {
2061  tnmclpz++;
2062  }
2063 
2064  //Total number of layer clusters in multicluster
2065  int tnlcinmcl = 0;
2066 
2067  //To keep track of total num of layer clusters per multicluster
2068  //tnlcinmclperlaypz[layerid], tnlcinmclperlaymz[layerid]
2069  std::vector<int> tnlcinmclperlay(1000, 0); //+z
2070 
2071  //For the layers the multicluster expands to. Will use a set because there would be many
2072  //duplicates and then go back to vector for random access, since they say it is faster.
2073  std::set<int> multicluster_layers;
2074 
2075  bool multiclusterInZplus = false;
2076  bool multiclusterInZminus = false;
2077 
2078  //Loop through layer clusters
2079  for (unsigned int lcId = 0; lcId < nLayerClusters; ++lcId) {
2080  //take the hits and their fraction of the specific layer cluster.
2081  const std::vector<std::pair<DetId, float>>& hits_and_fractions = layerClusters[lcId]->hitsAndFractions();
2082 
2083  //For the multiplicity of the 2d layer clusters in multiclusters
2084  multiplicity[mclId].emplace_back(hits_and_fractions.size());
2085 
2086  const auto firstHitDetId = hits_and_fractions[0].first;
2087  //The layer that the layer cluster belongs to
2088  int layerid = recHitTools_->getLayerWithOffset(firstHitDetId) +
2089  layers * ((recHitTools_->zside(firstHitDetId) + 1) >> 1) - 1;
2090  multicluster_layers.insert(layerid);
2091  multiplicity_vs_layer[mclId].emplace_back(layerid);
2092 
2093  tnlcinmclperlay[layerid]++;
2094  tnlcinmcl++;
2095 
2096  if (recHitTools_->zside(firstHitDetId) > 0.) {
2097  multiclusterInZplus = true;
2098  }
2099  if (recHitTools_->zside(firstHitDetId) < 0.) {
2100  multiclusterInZminus = true;
2101  }
2102 
2103  } //end of loop through layerclusters
2104 
2105  //Per layer : Loop 0->99
2106  for (unsigned ilayer = 0; ilayer < layers * 2; ++ilayer) {
2107  if (histograms.h_clusternum_in_multicluster_perlayer[count].count(ilayer) && tnlcinmclperlay[ilayer] != 0) {
2108  histograms.h_clusternum_in_multicluster_perlayer[count].at(ilayer)->Fill((float)tnlcinmclperlay[ilayer]);
2109  }
2110  //For the profile now of 2d layer cluster in multiclusters vs layer number.
2111  if (tnlcinmclperlay[ilayer] != 0) {
2112  histograms.h_clusternum_in_multicluster_vs_layer[count]->Fill((float)ilayer, (float)tnlcinmclperlay[ilayer]);
2113  }
2114  } //end of loop over layers
2115 
2116  //Looking for multiclusters with 3 contiguous layers per event.
2117  std::vector<int> multicluster_layers_vec(multicluster_layers.begin(), multicluster_layers.end());
2118  //Since we want to also check for non contiguous multiclusters
2119  bool contimulti = false;
2120  //Observe that we start from 1 and go up to size - 1 element.
2121  if (multicluster_layers_vec.size() >= 3) {
2122  for (unsigned int i = 1; i < multicluster_layers_vec.size() - 1; ++i) {
2123  if ((multicluster_layers_vec[i - 1] + 1 == multicluster_layers_vec[i]) &&
2124  (multicluster_layers_vec[i + 1] - 1 == multicluster_layers_vec[i])) {
2125  //So, this is a multicluster with 3 contiguous layers per event
2126  if (multiclusterInZplus) {
2127  tncontmclpz++;
2128  }
2129  if (multiclusterInZminus) {
2130  tncontmclmz++;
2131  }
2132  contimulti = true;
2133  break;
2134  }
2135  }
2136  }
2137  //Count non contiguous multiclusters
2138  if (!contimulti) {
2139  if (multiclusterInZplus) {
2140  tnnoncontmclpz++;
2141  }
2142  if (multiclusterInZminus) {
2143  tnnoncontmclmz++;
2144  }
2145  }
2146 
2147  //Save for the score
2148  contmulti.push_back(contimulti);
2149 
2150  histograms.h_clusternum_in_multicluster[count]->Fill(tnlcinmcl);
2151 
2152  for (unsigned int lc = 0; lc < multiplicity[mclId].size(); ++lc) {
2153  //multiplicity of the current LC
2154  float mlp = std::count(std::begin(multiplicity[mclId]), std::end(multiplicity[mclId]), multiplicity[mclId][lc]);
2155  //LogDebug("HGCalValidator") << "mlp %" << (100. * mlp)/ ((float) nLayerClusters) << std::endl;
2156  // histograms.h_multiplicityOfLCinMCL[count]->Fill( mlp , multiplicity[mclId][lc] , 100. / (float) totallcinmcls );
2157  histograms.h_multiplicityOfLCinMCL[count]->Fill(mlp, multiplicity[mclId][lc]);
2158  //When we will plot with the text option we want the entries to be the same
2159  //as the % of the current cell over the whole number of clusters. For this we need an extra histo.
2160  histograms.h_multiplicity_numberOfEventsHistogram[count]->Fill(mlp);
2161  //For the cluster multiplicity vs layer
2162  //First with the -z endcap (V10:0->49)
2163  if (multiplicity_vs_layer[mclId][lc] < layers) {
2164  histograms.h_multiplicityOfLCinMCL_vs_layercluster_zminus[count]->Fill(mlp, multiplicity_vs_layer[mclId][lc]);
2165  histograms.h_multiplicity_zminus_numberOfEventsHistogram[count]->Fill(mlp);
2166  } else { //Then for the +z (V10:50->99)
2167  histograms.h_multiplicityOfLCinMCL_vs_layercluster_zplus[count]->Fill(
2168  mlp, multiplicity_vs_layer[mclId][lc] - layers);
2169  histograms.h_multiplicity_zplus_numberOfEventsHistogram[count]->Fill(mlp);
2170  }
2171  //For the cluster multiplicity vs cluster energy
2172  histograms.h_multiplicityOfLCinMCL_vs_layerclusterenergy[count]->Fill(mlp, layerClusters[lc]->energy());
2173  }
2174 
2175  if (!multicluster_layers.empty()) {
2176  histograms.h_multicluster_x[count]->Fill(multiClusters[mclId].x());
2177  histograms.h_multicluster_y[count]->Fill(multiClusters[mclId].y());
2178  histograms.h_multicluster_z[count]->Fill(multiClusters[mclId].z());
2179  histograms.h_multicluster_eta[count]->Fill(multiClusters[mclId].eta());
2180  histograms.h_multicluster_phi[count]->Fill(multiClusters[mclId].phi());
2181 
2182  histograms.h_multicluster_firstlayer[count]->Fill((float)*multicluster_layers.begin());
2183  histograms.h_multicluster_lastlayer[count]->Fill((float)*multicluster_layers.rbegin());
2184  histograms.h_multicluster_layersnum[count]->Fill((float)multicluster_layers.size());
2185 
2186  histograms.h_multicluster_pt[count]->Fill(multiClusters[mclId].pt());
2187 
2188  histograms.h_multicluster_energy[count]->Fill(multiClusters[mclId].energy());
2189  }
2190 
2191  } //end of loop through multiclusters
2192 
2193  histograms.h_multiclusternum[count]->Fill(tnmclmz + tnmclpz);
2194  histograms.h_contmulticlusternum[count]->Fill(tncontmclpz + tncontmclmz);
2195  histograms.h_noncontmulticlusternum[count]->Fill(tnnoncontmclpz + tnnoncontmclmz);
2196 
2197  multiClusters_to_CaloParticles(histograms, count, multiClusters, cP, cPIndices, cPSelectedIndices, hitMap, layers);
2198 }

References submitPVResolutionJobs::count, mps_fire::end, HCALHighEnergyHPDFilter_cfi::energy, PVValHelper::eta, mps_fire::i, HLTEgPhaseIITestSequence_cff::layerClusters, hgcalTopologyTester_cfi::layers, multiClusters_to_CaloParticles(), phi, DiDispStaMuonMonitor_cfi::pt, recHitTools_, x, y, and z.

◆ findmaxhit()

DetId HGVHistoProducerAlgo::findmaxhit ( const reco::CaloCluster &  cluster,
std::unordered_map< DetId, const HGCRecHit * > const &  hitMap 
) const

Definition at line 2219 of file HGVHistoProducerAlgo.cc.

2220  {
2221  DetId themaxid;
2222  const std::vector<std::pair<DetId, float>>& hits_and_fractions = cluster.hitsAndFractions();
2223 
2224  double maxene = 0.;
2225  for (std::vector<std::pair<DetId, float>>::const_iterator it_haf = hits_and_fractions.begin();
2226  it_haf != hits_and_fractions.end();
2227  ++it_haf) {
2228  DetId rh_detid = it_haf->first;
2229 
2230  std::unordered_map<DetId, const HGCRecHit*>::const_iterator itcheck = hitMap.find(rh_detid);
2231  const HGCRecHit* hit = itcheck->second;
2232 
2233  if (maxene < hit->energy()) {
2234  maxene = hit->energy();
2235  themaxid = rh_detid;
2236  }
2237  }
2238 
2239  return themaxid;
2240 }

References HCALHighEnergyHPDFilter_cfi::energy, reco::CaloCluster::hitsAndFractions(), and trackerHitRTTI::vector.

Referenced by fill_generic_cluster_histos().

◆ getEta()

double HGVHistoProducerAlgo::getEta ( double  eta) const
private

Definition at line 2242 of file HGVHistoProducerAlgo.cc.

2242  {
2243  if (useFabsEta_)
2244  return fabs(eta);
2245  else
2246  return eta;
2247 }

References PVValHelper::eta, and useFabsEta_.

Referenced by fill_caloparticle_histos(), and fill_cluster_histos().

◆ layerClusters_to_CaloParticles()

void HGVHistoProducerAlgo::layerClusters_to_CaloParticles ( const Histograms &  histograms,
edm::Handle< reco::CaloClusterCollection >  clusterHandle,
const reco::CaloClusterCollection &  clusters,
edm::Handle< std::vector< CaloParticle >>  caloParticleHandle,
std::vector< CaloParticle > const &  cP,
std::vector< size_t > const &  cPIndices,
std::vector< size_t > const &  cPSelectedIndices,
std::unordered_map< DetId, const HGCRecHit * > const &  hitMap,
unsigned  layers,
const edm::Handle< hgcal::LayerClusterToCaloParticleAssociator > &  LCAssocByEnergyScoreHandle 
) const

Definition at line 811 of file HGVHistoProducerAlgo.cc.

821  {
822  auto nLayerClusters = clusters.size();
823 
824  std::unordered_map<DetId, std::vector<HGVHistoProducerAlgo::detIdInfoInCluster>> detIdToCaloParticleId_Map;
825  std::unordered_map<DetId, std::vector<HGVHistoProducerAlgo::detIdInfoInCluster>> detIdToLayerClusterId_Map;
826 
827  // The association has to be done in an all-vs-all fashion.
828  // For this reason we use the full set of caloParticles, with the only filter on bx
829  for (const auto& cpId : cPIndices) {
830  const SimClusterRefVector& simClusterRefVector = cP[cpId].simClusters();
831  for (const auto& it_sc : simClusterRefVector) {
832  const SimCluster& simCluster = (*(it_sc));
833  const auto& hits_and_fractions = simCluster.hits_and_fractions();
834  for (const auto& it_haf : hits_and_fractions) {
835  DetId hitid = (it_haf.first);
836  std::unordered_map<DetId, const HGCRecHit*>::const_iterator itcheck = hitMap.find(hitid);
837  if (itcheck != hitMap.end()) {
838  auto hit_find_it = detIdToCaloParticleId_Map.find(hitid);
839  if (hit_find_it == detIdToCaloParticleId_Map.end()) {
840  detIdToCaloParticleId_Map[hitid] = std::vector<HGVHistoProducerAlgo::detIdInfoInCluster>();
841  detIdToCaloParticleId_Map[hitid].emplace_back(
842  HGVHistoProducerAlgo::detIdInfoInCluster{cpId, it_haf.second});
843  } else {
844  auto findHitIt = std::find(detIdToCaloParticleId_Map[hitid].begin(),
845  detIdToCaloParticleId_Map[hitid].end(),
846  HGVHistoProducerAlgo::detIdInfoInCluster{cpId, it_haf.second});
847  if (findHitIt != detIdToCaloParticleId_Map[hitid].end()) {
848  findHitIt->fraction += it_haf.second;
849  } else {
850  detIdToCaloParticleId_Map[hitid].emplace_back(
851  HGVHistoProducerAlgo::detIdInfoInCluster{cpId, it_haf.second});
852  }
853  }
854  }
855  }
856  }
857  }
858 
859  for (unsigned int lcId = 0; lcId < nLayerClusters; ++lcId) {
860  const std::vector<std::pair<DetId, float>>& hits_and_fractions = clusters[lcId].hitsAndFractions();
861  unsigned int numberOfHitsInLC = hits_and_fractions.size();
862 
863  // This vector will store, for each hit in the Layercluster, the index of
864  // the CaloParticle that contributed the most, in terms of energy, to it.
865  // Special values are:
866  //
867  // -2 --> the reconstruction fraction of the RecHit is 0 (used in the past to monitor Halo Hits)
868  // -3 --> same as before with the added condition that no CaloParticle has been linked to this RecHit
869  // -1 --> the reco fraction is >0, but no CaloParticle has been linked to it
870  // >=0 --> index of the linked CaloParticle
871  std::vector<int> hitsToCaloParticleId(numberOfHitsInLC);
872  const auto firstHitDetId = hits_and_fractions[0].first;
873  int lcLayerId =
874  recHitTools_->getLayerWithOffset(firstHitDetId) + layers * ((recHitTools_->zside(firstHitDetId) + 1) >> 1) - 1;
875 
876  // This will store the fraction of the CaloParticle energy shared with the LayerCluster: e_shared/cp_energy
877  std::unordered_map<unsigned, float> CPEnergyInLC;
878 
879  for (unsigned int hitId = 0; hitId < numberOfHitsInLC; hitId++) {
880  DetId rh_detid = hits_and_fractions[hitId].first;
881  auto rhFraction = hits_and_fractions[hitId].second;
882 
883  std::unordered_map<DetId, const HGCRecHit*>::const_iterator itcheck = hitMap.find(rh_detid);
884  const HGCRecHit* hit = itcheck->second;
885 
886  auto hit_find_in_LC = detIdToLayerClusterId_Map.find(rh_detid);
887  if (hit_find_in_LC == detIdToLayerClusterId_Map.end()) {
888  detIdToLayerClusterId_Map[rh_detid] = std::vector<HGVHistoProducerAlgo::detIdInfoInCluster>();
889  }
890  detIdToLayerClusterId_Map[rh_detid].emplace_back(HGVHistoProducerAlgo::detIdInfoInCluster{lcId, rhFraction});
891 
892  auto hit_find_in_CP = detIdToCaloParticleId_Map.find(rh_detid);
893 
894  // if the fraction is zero or the hit does not belong to any calo
895  // particle, set the caloparticleId for the hit to -1 this will
896  // contribute to the number of noise hits
897 
898  // MR Remove the case in which the fraction is 0, since this could be a
899  // real hit that has been marked as halo.
900  if (rhFraction == 0.) {
901  hitsToCaloParticleId[hitId] = -2;
902  }
903  if (hit_find_in_CP == detIdToCaloParticleId_Map.end()) {
904  hitsToCaloParticleId[hitId] -= 1;
905  } else {
906  auto maxCPEnergyInLC = 0.f;
907  auto maxCPId = -1;
908  for (auto& h : hit_find_in_CP->second) {
909  CPEnergyInLC[h.clusterId] += h.fraction * hit->energy();
910  // Keep track of which CaloParticle contributed the most, in terms
911  // of energy, to this specific LayerCluster.
912  if (CPEnergyInLC[h.clusterId] > maxCPEnergyInLC) {
913  maxCPEnergyInLC = CPEnergyInLC[h.clusterId];
914  maxCPId = h.clusterId;
915  }
916  }
917  hitsToCaloParticleId[hitId] = maxCPId;
918  }
919  histograms.h_cellAssociation_perlayer.at(lcLayerId)->Fill(
920  hitsToCaloParticleId[hitId] > 0. ? 0. : hitsToCaloParticleId[hitId]);
921  } // End loop over hits on a LayerCluster
922 
923  } // End of loop over LayerClusters
924 
925  hgcal::RecoToSimCollection cpsInLayerClusterMap =
926  LCAssocByEnergyScoreHandle->associateRecoToSim(clusterHandle, caloParticleHandle);
927  hgcal::SimToRecoCollection cPOnLayerMap =
928  LCAssocByEnergyScoreHandle->associateSimToReco(clusterHandle, caloParticleHandle);
929  // Here we do fill the plots to compute the different metrics linked to
930  // reco-level, namely fake-rate an merge-rate. In this loop we should *not*
931  // restrict only to the selected caloParaticles.
932  for (unsigned int lcId = 0; lcId < nLayerClusters; ++lcId) {
933  const std::vector<std::pair<DetId, float>>& hits_and_fractions = clusters[lcId].hitsAndFractions();
934  const auto firstHitDetId = hits_and_fractions[0].first;
935  const int lcLayerId =
936  recHitTools_->getLayerWithOffset(firstHitDetId) + layers * ((recHitTools_->zside(firstHitDetId) + 1) >> 1) - 1;
937  histograms.h_denom_layercl_eta_perlayer.at(lcLayerId)->Fill(clusters[lcId].eta());
938  histograms.h_denom_layercl_phi_perlayer.at(lcLayerId)->Fill(clusters[lcId].phi());
939  //
940  const edm::Ref<reco::CaloClusterCollection> lcRef(clusterHandle, lcId);
941  const auto& cpsIt = cpsInLayerClusterMap.find(lcRef);
942  if (cpsIt == cpsInLayerClusterMap.end())
943  continue;
944 
945  const auto& cps = cpsIt->val;
946  if (clusters[lcId].energy() == 0. && !cps.empty()) {
947  for (const auto& cpPair : cps) {
948  histograms.h_score_layercl2caloparticle_perlayer.at(lcLayerId)->Fill(cpPair.second);
949  }
950  continue;
951  }
952  for (const auto& cpPair : cps) {
953  LogDebug("HGCalValidator") << "layerCluster Id: \t" << lcId << "\t CP id: \t" << cpPair.first.index()
954  << "\t score \t" << cpPair.second << std::endl;
955  histograms.h_score_layercl2caloparticle_perlayer.at(lcLayerId)->Fill(cpPair.second);
956  auto const& cp_linked =
957  std::find_if(std::begin(cPOnLayerMap[cpPair.first]),
958  std::end(cPOnLayerMap[cpPair.first]),
959  [&lcRef](const std::pair<edm::Ref<reco::CaloClusterCollection>, std::pair<float, float>>& p) {
960  return p.first == lcRef;
961  });
962  if (cp_linked ==
963  cPOnLayerMap[cpPair.first].end()) // This should never happen by construction of the association maps
964  continue;
965  histograms.h_sharedenergy_layercl2caloparticle_perlayer.at(lcLayerId)->Fill(
966  cp_linked->second.first / clusters[lcId].energy(), clusters[lcId].energy());
967  histograms.h_energy_vs_score_layercl2caloparticle_perlayer.at(lcLayerId)->Fill(
968  cpPair.second, cp_linked->second.first / clusters[lcId].energy());
969  }
970  const auto assoc =
971  std::count_if(std::begin(cps), std::end(cps), [](const auto& obj) { return obj.second < ScoreCutLCtoCP_; });
972  if (assoc) {
973  histograms.h_num_layercl_eta_perlayer.at(lcLayerId)->Fill(clusters[lcId].eta());
974  histograms.h_num_layercl_phi_perlayer.at(lcLayerId)->Fill(clusters[lcId].phi());
975  if (assoc > 1) {
976  histograms.h_numMerge_layercl_eta_perlayer.at(lcLayerId)->Fill(clusters[lcId].eta());
977  histograms.h_numMerge_layercl_phi_perlayer.at(lcLayerId)->Fill(clusters[lcId].phi());
978  }
979  const auto& best = std::min_element(
980  std::begin(cps), std::end(cps), [](const auto& obj1, const auto& obj2) { return obj1.second < obj2.second; });
981  const auto& best_cp_linked =
982  std::find_if(std::begin(cPOnLayerMap[best->first]),
983  std::end(cPOnLayerMap[best->first]),
984  [&lcRef](const std::pair<edm::Ref<reco::CaloClusterCollection>, std::pair<float, float>>& p) {
985  return p.first == lcRef;
986  });
987  if (best_cp_linked ==
988  cPOnLayerMap[best->first].end()) // This should never happen by construction of the association maps
989  continue;
990  histograms.h_sharedenergy_layercl2caloparticle_vs_eta_perlayer.at(lcLayerId)->Fill(
991  clusters[lcId].eta(), best_cp_linked->second.first / clusters[lcId].energy());
992  histograms.h_sharedenergy_layercl2caloparticle_vs_phi_perlayer.at(lcLayerId)->Fill(
993  clusters[lcId].phi(), best_cp_linked->second.first / clusters[lcId].energy());
994  }
995  } // End of loop over LayerClusters
996 
997  // Here we do fill the plots to compute the different metrics linked to
998  // gen-level, namely efficiency and duplicate. In this loop we should restrict
999  // only to the selected caloParaticles.
1000  for (const auto& cpId : cPSelectedIndices) {
1001  const edm::Ref<CaloParticleCollection> cpRef(caloParticleHandle, cpId);
1002  const auto& lcsIt = cPOnLayerMap.find(cpRef);
1003 
1004  std::map<unsigned int, float> cPEnergyOnLayer;
1005  for (unsigned int layerId = 0; layerId < layers * 2; ++layerId)
1006  cPEnergyOnLayer[layerId] = 0;
1007 
1008  const SimClusterRefVector& simClusterRefVector = cP[cpId].simClusters();
1009  for (const auto& it_sc : simClusterRefVector) {
1010  const SimCluster& simCluster = (*(it_sc));
1011  const auto& hits_and_fractions = simCluster.hits_and_fractions();
1012  for (const auto& it_haf : hits_and_fractions) {
1013  const DetId hitid = (it_haf.first);
1014  const int cpLayerId =
1015  recHitTools_->getLayerWithOffset(hitid) + layers * ((recHitTools_->zside(hitid) + 1) >> 1) - 1;
1016  std::unordered_map<DetId, const HGCRecHit*>::const_iterator itcheck = hitMap.find(hitid);
1017  if (itcheck != hitMap.end()) {
1018  const HGCRecHit* hit = itcheck->second;
1019  cPEnergyOnLayer[cpLayerId] += it_haf.second * hit->energy();
1020  }
1021  }
1022  }
1023 
1024  for (unsigned int layerId = 0; layerId < layers * 2; ++layerId) {
1025  if (!cPEnergyOnLayer[layerId])
1026  continue;
1027 
1028  histograms.h_denom_caloparticle_eta_perlayer.at(layerId)->Fill(cP[cpId].g4Tracks()[0].momentum().eta());
1029  histograms.h_denom_caloparticle_phi_perlayer.at(layerId)->Fill(cP[cpId].g4Tracks()[0].momentum().phi());
1030 
1031  if (lcsIt == cPOnLayerMap.end())
1032  continue;
1033  const auto& lcs = lcsIt->val;
1034 
1035  auto getLCLayerId = [&](const unsigned int lcId) {
1036  const std::vector<std::pair<DetId, float>>& hits_and_fractions = clusters[lcId].hitsAndFractions();
1037  const auto firstHitDetId = hits_and_fractions[0].first;
1038  const unsigned int lcLayerId = recHitTools_->getLayerWithOffset(firstHitDetId) +
1039  layers * ((recHitTools_->zside(firstHitDetId) + 1) >> 1) - 1;
1040  return lcLayerId;
1041  };
1042 
1043  for (const auto& lcPair : lcs) {
1044  if (getLCLayerId(lcPair.first.index()) != layerId)
1045  continue;
1046  histograms.h_score_caloparticle2layercl_perlayer.at(layerId)->Fill(lcPair.second.second);
1047  histograms.h_sharedenergy_caloparticle2layercl_perlayer.at(layerId)->Fill(
1048  lcPair.second.first / cPEnergyOnLayer[layerId], cPEnergyOnLayer[layerId]);
1049  histograms.h_energy_vs_score_caloparticle2layercl_perlayer.at(layerId)->Fill(
1050  lcPair.second.second, lcPair.second.first / cPEnergyOnLayer[layerId]);
1051  }
1052  const auto assoc = std::count_if(std::begin(lcs), std::end(lcs), [&](const auto& obj) {
1053  if (getLCLayerId(obj.first.index()) != layerId)
1054  return false;
1055  else
1056  return obj.second.second < ScoreCutCPtoLC_;
1057  });
1058  if (assoc) {
1059  histograms.h_num_caloparticle_eta_perlayer.at(layerId)->Fill(cP[cpId].g4Tracks()[0].momentum().eta());
1060  histograms.h_num_caloparticle_phi_perlayer.at(layerId)->Fill(cP[cpId].g4Tracks()[0].momentum().phi());
1061  if (assoc > 1) {
1062  histograms.h_numDup_caloparticle_eta_perlayer.at(layerId)->Fill(cP[cpId].g4Tracks()[0].momentum().eta());
1063  histograms.h_numDup_caloparticle_phi_perlayer.at(layerId)->Fill(cP[cpId].g4Tracks()[0].momentum().phi());
1064  }
1065  const auto best = std::min_element(std::begin(lcs), std::end(lcs), [&](const auto& obj1, const auto& obj2) {
1066  if (getLCLayerId(obj1.first.index()) != layerId)
1067  return false;
1068  else if (getLCLayerId(obj2.first.index()) == layerId)
1069  return obj1.second.second < obj2.second.second;
1070  else
1071  return true;
1072  });
1073  histograms.h_sharedenergy_caloparticle2layercl_vs_eta_perlayer.at(layerId)->Fill(
1074  cP[cpId].g4Tracks()[0].momentum().eta(), best->second.first / cPEnergyOnLayer[layerId]);
1075  histograms.h_sharedenergy_caloparticle2layercl_vs_phi_perlayer.at(layerId)->Fill(
1076  cP[cpId].g4Tracks()[0].momentum().phi(), best->second.first / cPEnergyOnLayer[layerId]);
1077  }
1078  }
1079  }
1080 }

References trackingPlots::assoc, hgcal::LayerClusterToCaloParticleAssociator::associateRecoToSim(), hgcal::LayerClusterToCaloParticleAssociator::associateSimToReco(), bsc_activity_cfg::clusters, edm::AssociationMap< Tag >::end(), mps_fire::end, HCALHighEnergyHPDFilter_cfi::energy, PVValHelper::eta, spr::find(), edm::AssociationMap< Tag >::find(), SimCluster::hits_and_fractions(), hgcalTopologyTester_cfi::layers, LogDebug, getGTfromDQMFile::obj, AlCaHLTBitMon_ParallelJobs::p, phi, recHitTools_, ScoreCutCPtoLC_, ScoreCutLCtoCP_, and edm::helpers::KeyVal< K, V >::val.

Referenced by fill_generic_cluster_histos().

◆ multiClusters_to_CaloParticles()

void HGVHistoProducerAlgo::multiClusters_to_CaloParticles ( const Histograms &  histograms,
int  count,
const std::vector< reco::HGCalMultiCluster > &  multiClusters,
std::vector< CaloParticle > const &  cP,
std::vector< size_t > const &  cPIndices,
std::vector< size_t > const &  cPSelectedIndices,
std::unordered_map< DetId, const HGCRecHit * > const &  hitMap,
unsigned  layers 
) const

Definition at line 1408 of file HGVHistoProducerAlgo.cc.

1415  {
1416  auto nMultiClusters = multiClusters.size();
1417  //Consider CaloParticles coming from the hard scatterer, excluding the PU contribution.
1418  auto nCaloParticles = cPIndices.size();
1419 
1420  std::unordered_map<DetId, std::vector<HGVHistoProducerAlgo::detIdInfoInCluster>> detIdToCaloParticleId_Map;
1421  std::unordered_map<DetId, std::vector<HGVHistoProducerAlgo::detIdInfoInMultiCluster>> detIdToMultiClusterId_Map;
1422  std::vector<int> tracksters_fakemerge(nMultiClusters, 0);
1423  std::vector<int> tracksters_duplicate(nMultiClusters, 0);
1424 
1425  // this contains the ids of the caloparticles contributing with at least one hit to the multi cluster and the reconstruction error
1426  //cpsInLayerCluster[multicluster][CPids]
1427  //Connects a multicluster with all related caloparticles.
1428  std::vector<std::vector<std::pair<unsigned int, float>>> cpsInMultiCluster;
1429  cpsInMultiCluster.resize(nMultiClusters);
1430 
1431  //cPOnLayer[caloparticle][layer]
1432  //This defines a "calo particle on layer" concept. It is only filled in case
1433  //that calo particle has a reconstructed hit related via detid. So, a cPOnLayer[i][j] connects a
1434  //specific calo particle i in layer j with:
1435  //1. the sum of all rechits energy times fraction of the relevant simhit in layer j related to that calo particle i.
1436  //2. the hits and fractions of that calo particle i in layer j.
1437  //3. the layer clusters with matched rechit id.
1438  std::unordered_map<int, std::vector<caloParticleOnLayer>> cPOnLayer;
1439  for (unsigned int i = 0; i < nCaloParticles; ++i) {
1440  auto cpIndex = cPIndices[i];
1441  cPOnLayer[cpIndex].resize(layers * 2);
1442  for (unsigned int j = 0; j < layers * 2; ++j) {
1443  cPOnLayer[cpIndex][j].caloParticleId = cpIndex;
1444  cPOnLayer[cpIndex][j].energy = 0.f;
1445  cPOnLayer[cpIndex][j].hits_and_fractions.clear();
1446  }
1447  }
1448 
1449  for (const auto& cpId : cPIndices) {
1450  //take sim clusters
1451  const SimClusterRefVector& simClusterRefVector = cP[cpId].simClusters();
1452  //loop through sim clusters
1453  for (const auto& it_sc : simClusterRefVector) {
1454  const SimCluster& simCluster = (*(it_sc));
1455  const auto& hits_and_fractions = simCluster.hits_and_fractions();
1456  for (const auto& it_haf : hits_and_fractions) {
1457  DetId hitid = (it_haf.first);
1458  //V9:maps the layers in -z: 0->51 and in +z: 52->103
1459  //V10:maps the layers in -z: 0->49 and in +z: 50->99
1460  int cpLayerId = recHitTools_->getLayerWithOffset(hitid) + layers * ((recHitTools_->zside(hitid) + 1) >> 1) - 1;
1461  std::unordered_map<DetId, const HGCRecHit*>::const_iterator itcheck = hitMap.find(hitid);
1462  //Checks whether the current hit belonging to sim cluster has a reconstructed hit.
1463  if (itcheck != hitMap.end()) {
1464  const HGCRecHit* hit = itcheck->second;
1465  //Since the current hit from sim cluster has a reconstructed hit with the same detid,
1466  //make a map that will connect a detid with:
1467  //1. the caloparticles that have a simcluster with sim hits in that cell via caloparticle id.
1468  //2. the sum of all simhits fractions that contributes to that detid.
1469  //So, keep in mind that in case of multiple caloparticles contributing in the same cell
1470  //the fraction is the sum over all calo particles. So, something like:
1471  //detid: (caloparticle 1, sum of hits fractions in that detid over all cp) , (caloparticle 2, sum of hits fractions in that detid over all cp), (caloparticle 3, sum of hits fractions in that detid over all cp) ...
1472  auto hit_find_it = detIdToCaloParticleId_Map.find(hitid);
1473  if (hit_find_it == detIdToCaloParticleId_Map.end()) {
1474  detIdToCaloParticleId_Map[hitid] = std::vector<HGVHistoProducerAlgo::detIdInfoInCluster>();
1475  detIdToCaloParticleId_Map[hitid].emplace_back(
1476  HGVHistoProducerAlgo::detIdInfoInCluster{cpId, it_haf.second});
1477  } else {
1478  auto findHitIt = std::find(detIdToCaloParticleId_Map[hitid].begin(),
1479  detIdToCaloParticleId_Map[hitid].end(),
1480  HGVHistoProducerAlgo::detIdInfoInCluster{cpId, it_haf.second});
1481  if (findHitIt != detIdToCaloParticleId_Map[hitid].end()) {
1482  findHitIt->fraction += it_haf.second;
1483  } else {
1484  detIdToCaloParticleId_Map[hitid].emplace_back(
1485  HGVHistoProducerAlgo::detIdInfoInCluster{cpId, it_haf.second});
1486  }
1487  }
1488  //Since the current hit from sim cluster has a reconstructed hit with the same detid,
1489  //fill the cPOnLayer[caloparticle][layer] object with energy (sum of all rechits energy times fraction
1490  //of the relevant simhit) and keep the hit (detid and fraction) that contributed.
1491  cPOnLayer[cpId][cpLayerId].energy += it_haf.second * hit->energy();
1492  // We need to compress the hits and fractions in order to have a
1493  // reasonable score between CP and LC. Imagine, for example, that a
1494  // CP has detID X used by 2 SimClusters with different fractions. If
1495  // a single LC uses X with fraction 1 and is compared to the 2
1496  // contributions separately, it will be assigned a score != 0, which
1497  // is wrong.
1498  auto& haf = cPOnLayer[cpId][cpLayerId].hits_and_fractions;
1499  auto found = std::find_if(
1500  std::begin(haf), std::end(haf), [&hitid](const std::pair<DetId, float>& v) { return v.first == hitid; });
1501  if (found != haf.end()) {
1502  found->second += it_haf.second;
1503  } else {
1504  cPOnLayer[cpId][cpLayerId].hits_and_fractions.emplace_back(hitid, it_haf.second);
1505  }
1506  }
1507  } // end of loop through simhits
1508  } // end of loop through simclusters
1509  } // end of loop through caloparticles
1510 
1511  //Loop through multiclusters
1512  for (unsigned int mclId = 0; mclId < nMultiClusters; ++mclId) {
1513  const auto& hits_and_fractions = multiClusters[mclId].hitsAndFractions();
1514  if (!hits_and_fractions.empty()) {
1515  std::unordered_map<unsigned, float> CPEnergyInMCL;
1516  int maxCPId_byNumberOfHits = -1;
1517  unsigned int maxCPNumberOfHitsInMCL = 0;
1518  int maxCPId_byEnergy = -1;
1519  float maxEnergySharedMCLandCP = 0.f;
1520  float energyFractionOfMCLinCP = 0.f;
1521  float energyFractionOfCPinMCL = 0.f;
1522 
1523  //In case of matched rechit-simhit, so matched
1524  //caloparticle-layercluster-multicluster, he counts and saves the number of
1525  //rechits related to the maximum energy CaloParticle out of all
1526  //CaloParticles related to that layer cluster and multicluster.
1527 
1528  std::unordered_map<unsigned, unsigned> occurrencesCPinMCL;
1529  unsigned int numberOfNoiseHitsInMCL = 0;
1530  unsigned int numberOfHaloHitsInMCL = 0;
1531  unsigned int numberOfHitsInMCL = 0;
1532 
1533  //number of hits related to that cluster.
1534  unsigned int numberOfHitsInLC = hits_and_fractions.size();
1535  numberOfHitsInMCL += numberOfHitsInLC;
1536  std::unordered_map<unsigned, float> CPEnergyInLC;
1537 
1538  //hitsToCaloParticleId is a vector of ints, one for each rechit of the
1539  //layer cluster under study. If negative, there is no simhit from any CaloParticle related.
1540  //If positive, at least one CaloParticle has been found with matched simhit.
1541  //In more detail:
1542  // 1. hitsToCaloParticleId[hitId] = -3
1543  // TN: These represent Halo Cells(N) that have not been
1544  // assigned to any CaloParticle (hence the T).
1545  // 2. hitsToCaloParticleId[hitId] = -2
1546  // FN: There represent Halo Cells(N) that have been assigned
1547  // to a CaloParticle (hence the F, since those should have not been marked as halo)
1548  // 3. hitsToCaloParticleId[hitId] = -1
1549  // FP: These represent Real Cells(P) that have not been
1550  // assigned to any CaloParticle (hence the F, since these are fakes)
1551  // 4. hitsToCaloParticleId[hitId] >= 0
1552  // TP There represent Real Cells(P) that have been assigned
1553  // to a CaloParticle (hence the T)
1554 
1555  std::vector<int> hitsToCaloParticleId(numberOfHitsInLC);
1556  //det id of the first hit just to make the lcLayerId variable
1557  //which maps the layers in -z: 0->51 and in +z: 52->103
1558  const auto firstHitDetId = hits_and_fractions[0].first;
1559  int lcLayerId = recHitTools_->getLayerWithOffset(firstHitDetId) +
1560  layers * ((recHitTools_->zside(firstHitDetId) + 1) >> 1) - 1;
1561 
1562  //Loop though the hits of the layer cluster under study
1563  for (unsigned int hitId = 0; hitId < numberOfHitsInLC; hitId++) {
1564  DetId rh_detid = hits_and_fractions[hitId].first;
1565  auto rhFraction = hits_and_fractions[hitId].second;
1566 
1567  //Since the hit is belonging to the layer cluster, it must also be in the rechits map.
1568  std::unordered_map<DetId, const HGCRecHit*>::const_iterator itcheck = hitMap.find(rh_detid);
1569  const HGCRecHit* hit = itcheck->second;
1570 
1571  //Make a map that will connect a detid (that belongs to a rechit of the layer cluster under study,
1572  //no need to save others) with:
1573  //1. the layer clusters that have rechits in that detid
1574  //2. the fraction of the rechit of each layer cluster that contributes to that detid.
1575  //So, something like:
1576  //detid: (layer cluster 1, hit fraction) , (layer cluster 2, hit fraction), (layer cluster 3, hit fraction) ...
1577  //here comparing with the calo particle map above the
1578  auto hit_find_in_LC = detIdToMultiClusterId_Map.find(rh_detid);
1579  if (hit_find_in_LC == detIdToMultiClusterId_Map.end()) {
1580  detIdToMultiClusterId_Map[rh_detid] = std::vector<HGVHistoProducerAlgo::detIdInfoInMultiCluster>();
1581  }
1582  detIdToMultiClusterId_Map[rh_detid].emplace_back(
1583  HGVHistoProducerAlgo::detIdInfoInMultiCluster{mclId, mclId, rhFraction});
1584 
1585  //Check whether the rechit of the layer cluster under study has a sim hit in the same cell.
1586  auto hit_find_in_CP = detIdToCaloParticleId_Map.find(rh_detid);
1587 
1588  // if the fraction is zero or the hit does not belong to any calo
1589  // particle, set the caloparticleId for the hit to -1 this will
1590  // contribute to the number of noise hits
1591 
1592  // MR Remove the case in which the fraction is 0, since this could be a
1593  // real hit that has been marked as halo.
1594  if (rhFraction == 0.) {
1595  hitsToCaloParticleId[hitId] = -2;
1596  numberOfHaloHitsInMCL++;
1597  }
1598  if (hit_find_in_CP == detIdToCaloParticleId_Map.end()) {
1599  hitsToCaloParticleId[hitId] -= 1;
1600  } else {
1601  auto maxCPEnergyInLC = 0.f;
1602  auto maxCPId = -1;
1603  for (auto& h : hit_find_in_CP->second) {
1604  auto shared_fraction = std::min(rhFraction, h.fraction);
1605  //We are in the case where there are calo particles with simhits connected via detid with the rechit under study
1606  //So, from all layers clusters, find the rechits that are connected with a calo particle and save/calculate the
1607  //energy of that calo particle as the sum over all rechits of the rechits energy weighted
1608  //by the caloparticle's fraction related to that rechit.
1609  CPEnergyInMCL[h.clusterId] += shared_fraction * hit->energy();
1610  //Same but for layer clusters for the cell association per layer
1611  CPEnergyInLC[h.clusterId] += shared_fraction * hit->energy();
1612  //Here cPOnLayer[caloparticle][layer] describe above is set.
1613  //Here for multi clusters with matched rechit the CP fraction times hit energy is added and saved .
1614  cPOnLayer[h.clusterId][lcLayerId].layerClusterIdToEnergyAndScore[mclId].first +=
1615  shared_fraction * hit->energy();
1616  cPOnLayer[h.clusterId][lcLayerId].layerClusterIdToEnergyAndScore[mclId].second = FLT_MAX;
1617  //cpsInMultiCluster[multicluster][CPids]
1618  //Connects a multi cluster with all related caloparticles.
1619  cpsInMultiCluster[mclId].emplace_back(h.clusterId, FLT_MAX);
1620  //From all CaloParticles related to a layer cluster, he saves id and energy of the calo particle
1621  //that after simhit-rechit matching in layer has the maximum energy.
1622  if (shared_fraction > maxCPEnergyInLC) {
1623  //energy is used only here. cpid is saved for multiclusters
1624  maxCPEnergyInLC = CPEnergyInLC[h.clusterId];
1625  maxCPId = h.clusterId;
1626  }
1627  }
1628  //Keep in mind here maxCPId could be zero. So, below ask for negative not including zero to count noise.
1629  hitsToCaloParticleId[hitId] = maxCPId;
1630  }
1631 
1632  } //end of loop through rechits of the layer cluster.
1633 
1634  //Loop through all rechits to count how many of them are noise and how many are matched.
1635  //In case of matched rechit-simhit, he counts and saves the number of rechits related to the maximum energy CaloParticle.
1636  for (auto c : hitsToCaloParticleId) {
1637  if (c < 0) {
1638  numberOfNoiseHitsInMCL++;
1639  } else {
1640  occurrencesCPinMCL[c]++;
1641  }
1642  }
1643 
1644  //Below from all maximum energy CaloParticles, he saves the one with the largest amount
1645  //of related rechits.
1646  for (auto& c : occurrencesCPinMCL) {
1647  if (c.second > maxCPNumberOfHitsInMCL) {
1648  maxCPId_byNumberOfHits = c.first;
1649  maxCPNumberOfHitsInMCL = c.second;
1650  }
1651  }
1652 
1653  //Find the CaloParticle that has the maximum energy shared with the multicluster under study.
1654  for (auto& c : CPEnergyInMCL) {
1655  if (c.second > maxEnergySharedMCLandCP) {
1656  maxCPId_byEnergy = c.first;
1657  maxEnergySharedMCLandCP = c.second;
1658  }
1659  }
1660  //The energy of the CaloParticle that found to have the maximum energy shared with the multicluster under study.
1661  float totalCPEnergyFromLayerCP = 0.f;
1662  if (maxCPId_byEnergy >= 0) {
1663  //Loop through all layers
1664  for (unsigned int j = 0; j < layers * 2; ++j) {
1665  totalCPEnergyFromLayerCP = totalCPEnergyFromLayerCP + cPOnLayer[maxCPId_byEnergy][j].energy;
1666  }
1667  energyFractionOfCPinMCL = maxEnergySharedMCLandCP / totalCPEnergyFromLayerCP;
1668  if (multiClusters[mclId].energy() > 0.f) {
1669  energyFractionOfMCLinCP = maxEnergySharedMCLandCP / multiClusters[mclId].energy();
1670  }
1671  }
1672 
1673  LogDebug("HGCalValidator") << std::setw(12) << "multiCluster"
1674  << "\t" //LogDebug("HGCalValidator")
1675  << std::setw(10) << "mulcl energy"
1676  << "\t" << std::setw(5) << "nhits"
1677  << "\t" << std::setw(12) << "noise hits"
1678  << "\t" << std::setw(22) << "maxCPId_byNumberOfHits"
1679  << "\t" << std::setw(8) << "nhitsCP"
1680  << "\t" << std::setw(16) << "maxCPId_byEnergy"
1681  << "\t" << std::setw(23) << "maxEnergySharedMCLandCP"
1682  << "\t" << std::setw(22) << "totalCPEnergyFromAllLayerCP"
1683  << "\t" << std::setw(22) << "energyFractionOfMCLinCP"
1684  << "\t" << std::setw(25) << "energyFractionOfCPinMCL"
1685  << "\t" << std::endl;
1686  LogDebug("HGCalValidator") << std::setw(12) << mclId << "\t" //LogDebug("HGCalValidator")
1687  << std::setw(10) << multiClusters[mclId].energy() << "\t" << std::setw(5)
1688  << numberOfHitsInMCL << "\t" << std::setw(12) << numberOfNoiseHitsInMCL << "\t"
1689  << std::setw(22) << maxCPId_byNumberOfHits << "\t" << std::setw(8)
1690  << maxCPNumberOfHitsInMCL << "\t" << std::setw(16) << maxCPId_byEnergy << "\t"
1691  << std::setw(23) << maxEnergySharedMCLandCP << "\t" << std::setw(22)
1692  << totalCPEnergyFromLayerCP << "\t" << std::setw(22) << energyFractionOfMCLinCP << "\t"
1693  << std::setw(25) << energyFractionOfCPinMCL << std::endl;
1694 
1695  } //end of loop through multi clusters
1696  }
1697  //Loop through multiclusters
1698  for (unsigned int mclId = 0; mclId < nMultiClusters; ++mclId) {
1699  const auto& hits_and_fractions = multiClusters[mclId].hitsAndFractions();
1700  if (!hits_and_fractions.empty()) {
1701  // find the unique caloparticles id contributing to the multi clusters
1702  //cpsInMultiCluster[multicluster][CPids]
1703  std::sort(cpsInMultiCluster[mclId].begin(), cpsInMultiCluster[mclId].end());
1704  auto last = std::unique(cpsInMultiCluster[mclId].begin(), cpsInMultiCluster[mclId].end());
1705  cpsInMultiCluster[mclId].erase(last, cpsInMultiCluster[mclId].end());
1706 
1707  if (multiClusters[mclId].energy() == 0. && !cpsInMultiCluster[mclId].empty()) {
1708  //Loop through all CaloParticles contributing to multicluster mclId.
1709  for (auto& cpPair : cpsInMultiCluster[mclId]) {
1710  //In case of a multi cluster with zero energy but related CaloParticles the score is set to 1.
1711  cpPair.second = 1.;
1712  LogDebug("HGCalValidator") << "multiCluster Id: \t" << mclId << "\t CP id: \t" << cpPair.first
1713  << "\t score \t" << cpPair.second << std::endl;
1714  histograms.h_score_multicl2caloparticle[count]->Fill(cpPair.second);
1715  }
1716  continue;
1717  }
1718 
1719  // Compute the correct normalization
1720  float invMultiClusterEnergyWeight = 0.f;
1721  for (auto const& haf : multiClusters[mclId].hitsAndFractions()) {
1722  invMultiClusterEnergyWeight +=
1723  (haf.second * hitMap.at(haf.first)->energy()) * (haf.second * hitMap.at(haf.first)->energy());
1724  }
1725  invMultiClusterEnergyWeight = 1.f / invMultiClusterEnergyWeight;
1726 
1727  unsigned int numberOfHitsInLC = hits_and_fractions.size();
1728  for (unsigned int i = 0; i < numberOfHitsInLC; ++i) {
1729  DetId rh_detid = hits_and_fractions[i].first;
1730  float rhFraction = hits_and_fractions[i].second;
1731  bool hitWithNoCP = false;
1732 
1733  auto hit_find_in_CP = detIdToCaloParticleId_Map.find(rh_detid);
1734  if (hit_find_in_CP == detIdToCaloParticleId_Map.end())
1735  hitWithNoCP = true;
1736  auto itcheck = hitMap.find(rh_detid);
1737  const HGCRecHit* hit = itcheck->second;
1738  float hitEnergyWeight = hit->energy() * hit->energy();
1739 
1740  for (auto& cpPair : cpsInMultiCluster[mclId]) {
1741  float cpFraction = 0.f;
1742  if (!hitWithNoCP) {
1743  auto findHitIt = std::find(detIdToCaloParticleId_Map[rh_detid].begin(),
1744  detIdToCaloParticleId_Map[rh_detid].end(),
1745  HGVHistoProducerAlgo::detIdInfoInCluster{cpPair.first, 0.f});
1746  if (findHitIt != detIdToCaloParticleId_Map[rh_detid].end()) {
1747  cpFraction = findHitIt->fraction;
1748  }
1749  }
1750  if (cpPair.second == FLT_MAX) {
1751  cpPair.second = 0.f;
1752  }
1753  cpPair.second +=
1754  (rhFraction - cpFraction) * (rhFraction - cpFraction) * hitEnergyWeight * invMultiClusterEnergyWeight;
1755  }
1756  } //end of loop through rechits of layer cluster
1757 
1758  //In case of a multi cluster with some energy but none related CaloParticles print some info.
1759  if (cpsInMultiCluster[mclId].empty())
1760  LogDebug("HGCalValidator") << "multiCluster Id: \t" << mclId << "\tCP id:\t-1 "
1761  << "\t score \t-1"
1762  << "\n";
1763 
1764  auto score = std::min_element(std::begin(cpsInMultiCluster[mclId]),
1765  std::end(cpsInMultiCluster[mclId]),
1766  [](const auto& obj1, const auto& obj2) { return obj1.second < obj2.second; });
1767  for (auto& cpPair : cpsInMultiCluster[mclId]) {
1768  // LogDebug("HGCalValidator") << "multiCluster Id: \t" << mclId
1769  // << "\t CP id: \t" << cpPair.first
1770  // << "\t score \t" << cpPair.second
1771  // << "\n";
1772  LogDebug("HGCalValidator") << "multiCluster Id: \t" << mclId << "\t CP id: \t" << cpPair.first << "\t score \t"
1773  << cpPair.second << std::endl;
1774  if (cpPair.first == score->first) {
1775  histograms.h_score_multicl2caloparticle[count]->Fill(score->second);
1776  }
1777  float sharedeneCPallLayers = 0.;
1778  //Loop through all layers
1779  for (unsigned int j = 0; j < layers * 2; ++j) {
1780  auto const& cp_linked = cPOnLayer[cpPair.first][j].layerClusterIdToEnergyAndScore[mclId];
1781  sharedeneCPallLayers += cp_linked.first;
1782  } //end of loop through layers
1783  LogDebug("HGCalValidator") << "sharedeneCPallLayers " << sharedeneCPallLayers << std::endl;
1784  if (cpPair.first == score->first) {
1785  histograms.h_sharedenergy_multicl2caloparticle[count]->Fill(sharedeneCPallLayers /
1786  multiClusters[mclId].energy());
1787  histograms.h_energy_vs_score_multicl2caloparticle[count]->Fill(
1788  score->second, sharedeneCPallLayers / multiClusters[mclId].energy());
1789  }
1790  }
1791  auto assocFakeMerge = std::count_if(std::begin(cpsInMultiCluster[mclId]),
1792  std::end(cpsInMultiCluster[mclId]),
1793  [](const auto& obj) { return obj.second < ScoreCutMCLtoCPFakeMerge_; });
1794  tracksters_fakemerge[mclId] = assocFakeMerge;
1795  }
1796  } //end of loop through multiclusters
1797 
1798  std::unordered_map<int, std::vector<float>> score3d;
1799  std::unordered_map<int, std::vector<float>> mclsharedenergy;
1800  std::unordered_map<int, std::vector<float>> mclsharedenergyfrac;
1801 
1802  for (unsigned int i = 0; i < nCaloParticles; ++i) {
1803  auto cpIndex = cPIndices[i];
1804  score3d[cpIndex].resize(nMultiClusters);
1805  mclsharedenergy[cpIndex].resize(nMultiClusters);
1806  mclsharedenergyfrac[cpIndex].resize(nMultiClusters);
1807  for (unsigned int j = 0; j < nMultiClusters; ++j) {
1808  score3d[cpIndex][j] = FLT_MAX;
1809  mclsharedenergy[cpIndex][j] = 0.f;
1810  mclsharedenergyfrac[cpIndex][j] = 0.f;
1811  }
1812  }
1813 
1814  // Here we do fill the plots to compute the different metrics linked to
1815  // gen-level, namely efficiency an duplicate. In this loop we should restrict
1816  // only to the selected caloParaticles.
1817  for (const auto& cpId : cPSelectedIndices) {
1818  //We need to keep the multiclusters ids that are related to
1819  //CaloParticle under study for the final filling of the score.
1820  std::vector<unsigned int> cpId_mclId_related;
1821  cpId_mclId_related.clear();
1822 
1823  float CPenergy = 0.f;
1824  for (unsigned int layerId = 0; layerId < layers * 2; ++layerId) {
1825  unsigned int CPNumberOfHits = cPOnLayer[cpId][layerId].hits_and_fractions.size();
1826  //Below gives the CP energy related to multicluster per layer.
1827  CPenergy += cPOnLayer[cpId][layerId].energy;
1828  if (CPNumberOfHits == 0)
1829  continue;
1830  int mclWithMaxEnergyInCP = -1;
1831  //This is the maximum energy related to multicluster per layer.
1832  float maxEnergyMCLperlayerinCP = 0.f;
1833  float CPEnergyFractionInMCLperlayer = 0.f;
1834  //Remember and not confused by name. layerClusterIdToEnergyAndScore contains the multicluster id.
1835  for (const auto& mcl : cPOnLayer[cpId][layerId].layerClusterIdToEnergyAndScore) {
1836  if (mcl.second.first > maxEnergyMCLperlayerinCP) {
1837  maxEnergyMCLperlayerinCP = mcl.second.first;
1838  mclWithMaxEnergyInCP = mcl.first;
1839  }
1840  }
1841  if (CPenergy > 0.f)
1842  CPEnergyFractionInMCLperlayer = maxEnergyMCLperlayerinCP / CPenergy;
1843 
1844  LogDebug("HGCalValidator") << std::setw(8) << "LayerId:\t" << std::setw(12) << "caloparticle\t" << std::setw(15)
1845  << "cp total energy\t" << std::setw(15) << "cpEnergyOnLayer\t" << std::setw(14)
1846  << "CPNhitsOnLayer\t" << std::setw(18) << "mclWithMaxEnergyInCP\t" << std::setw(15)
1847  << "maxEnergyMCLinCP\t" << std::setw(20) << "CPEnergyFractionInMCL"
1848  << "\n";
1849  LogDebug("HGCalValidator") << std::setw(8) << layerId << "\t" << std::setw(12) << cpId << "\t" << std::setw(15)
1850  << cP[cpId].energy() << "\t" << std::setw(15) << CPenergy << "\t" << std::setw(14)
1851  << CPNumberOfHits << "\t" << std::setw(18) << mclWithMaxEnergyInCP << "\t"
1852  << std::setw(15) << maxEnergyMCLperlayerinCP << "\t" << std::setw(20)
1853  << CPEnergyFractionInMCLperlayer << "\n";
1854 
1855  for (unsigned int i = 0; i < CPNumberOfHits; ++i) {
1856  auto& cp_hitDetId = cPOnLayer[cpId][layerId].hits_and_fractions[i].first;
1857  auto& cpFraction = cPOnLayer[cpId][layerId].hits_and_fractions[i].second;
1858 
1859  bool hitWithNoMCL = false;
1860  if (cpFraction == 0.f)
1861  continue; //hopefully this should never happen
1862  auto hit_find_in_MCL = detIdToMultiClusterId_Map.find(cp_hitDetId);
1863  if (hit_find_in_MCL == detIdToMultiClusterId_Map.end())
1864  hitWithNoMCL = true;
1865  auto itcheck = hitMap.find(cp_hitDetId);
1866  const HGCRecHit* hit = itcheck->second;
1867  float hitEnergyWeight = hit->energy() * hit->energy();
1868  for (auto& lcPair : cPOnLayer[cpId][layerId].layerClusterIdToEnergyAndScore) {
1869  unsigned int multiClusterId = lcPair.first;
1870  if (std::find(std::begin(cpId_mclId_related), std::end(cpId_mclId_related), multiClusterId) ==
1871  std::end(cpId_mclId_related)) {
1872  cpId_mclId_related.push_back(multiClusterId);
1873  }
1874  float mclFraction = 0.f;
1875 
1876  if (!hitWithNoMCL) {
1877  auto findHitIt = std::find(detIdToMultiClusterId_Map[cp_hitDetId].begin(),
1878  detIdToMultiClusterId_Map[cp_hitDetId].end(),
1879  HGVHistoProducerAlgo::detIdInfoInMultiCluster{multiClusterId, 0, 0.f});
1880  if (findHitIt != detIdToMultiClusterId_Map[cp_hitDetId].end())
1881  mclFraction = findHitIt->fraction;
1882  }
1883  //Observe here that we do not divide as before by the layer cluster energy weight. We should sum first
1884  //over all layers and divide with the total CP energy over all layers.
1885  if (lcPair.second.second == FLT_MAX) {
1886  lcPair.second.second = 0.f;
1887  }
1888  lcPair.second.second += (mclFraction - cpFraction) * (mclFraction - cpFraction) * hitEnergyWeight;
1889  LogDebug("HGCalValidator") << "multiClusterId:\t" << multiClusterId << "\t"
1890  << "mclfraction,cpfraction:\t" << mclFraction << ", " << cpFraction << "\t"
1891  << "hitEnergyWeight:\t" << hitEnergyWeight << "\t"
1892  << "currect score numerator:\t" << lcPair.second.second << "\n";
1893  }
1894  } //end of loop through sim hits of current calo particle
1895 
1896  if (cPOnLayer[cpId][layerId].layerClusterIdToEnergyAndScore.empty())
1897  LogDebug("HGCalValidator") << "CP Id: \t" << cpId << "\t MCL id:\t-1 "
1898  << "\t layer \t " << layerId << " Sub score in \t -1"
1899  << "\n";
1900 
1901  for (const auto& lcPair : cPOnLayer[cpId][layerId].layerClusterIdToEnergyAndScore) {
1902  //3d score here without the denominator at this point
1903  if (score3d[cpId][lcPair.first] == FLT_MAX) {
1904  score3d[cpId][lcPair.first] = 0.f;
1905  }
1906  score3d[cpId][lcPair.first] += lcPair.second.second;
1907  mclsharedenergy[cpId][lcPair.first] += lcPair.second.first;
1908  }
1909  } //end of loop through layers
1910 
1911  // Compute the correct normalization
1912  // We need to loop on the cPOnLayer data structure since this is the
1913  // only one that has the compressed information for multiple usage
1914  // of the same DetId by different SimClusters by a single CaloParticle.
1915  float invCPEnergyWeight = 0.f;
1916  for (const auto& layer : cPOnLayer[cpId]) {
1917  for (const auto& haf : layer.hits_and_fractions) {
1918  invCPEnergyWeight +=
1919  (haf.second * hitMap.at(haf.first)->energy()) * (haf.second * hitMap.at(haf.first)->energy());
1920  }
1921  }
1922  invCPEnergyWeight = 1.f / invCPEnergyWeight;
1923 
1924  //Loop through related multiclusters here
1925  //Will switch to vector for access because it is faster
1926  std::vector<int> cpId_mclId_related_vec(cpId_mclId_related.begin(), cpId_mclId_related.end());
1927  for (unsigned int i = 0; i < cpId_mclId_related_vec.size(); ++i) {
1928  auto mclId = cpId_mclId_related_vec[i];
1929  //Now time for the denominator
1930  score3d[cpId][mclId] = score3d[cpId][mclId] * invCPEnergyWeight;
1931  mclsharedenergyfrac[cpId][mclId] = (mclsharedenergy[cpId][mclId] / CPenergy);
1932 
1933  LogDebug("HGCalValidator") << "CP Id: \t" << cpId << "\t MCL id: \t" << mclId << "\t score \t" //
1934  << score3d[cpId][mclId] << "\t"
1935  << "invCPEnergyWeight \t" << invCPEnergyWeight << "\t"
1936  << "shared energy:\t" << mclsharedenergy[cpId][mclId] << "\t"
1937  << "shared energy fraction:\t" << mclsharedenergyfrac[cpId][mclId] << "\n";
1938 
1939  histograms.h_score_caloparticle2multicl[count]->Fill(score3d[cpId][mclId]);
1940 
1941  histograms.h_sharedenergy_caloparticle2multicl[count]->Fill(mclsharedenergyfrac[cpId][mclId]);
1942  histograms.h_energy_vs_score_caloparticle2multicl[count]->Fill(score3d[cpId][mclId],
1943  mclsharedenergyfrac[cpId][mclId]);
1944  } //end of loop through multiclusters
1945 
1946  auto is_assoc = [&](const auto& v) -> bool { return v < ScoreCutCPtoMCLDup_; };
1947 
1948  auto assocDup = std::count_if(std::begin(score3d[cpId]), std::end(score3d[cpId]), is_assoc);
1949 
1950  if (assocDup > 0) {
1951  histograms.h_num_caloparticle_eta[count]->Fill(cP[cpId].g4Tracks()[0].momentum().eta());
1952  histograms.h_num_caloparticle_phi[count]->Fill(cP[cpId].g4Tracks()[0].momentum().phi());
1953  auto best = std::min_element(std::begin(score3d[cpId]), std::end(score3d[cpId]));
1954  auto bestmclId = std::distance(std::begin(score3d[cpId]), best);
1955 
1956  histograms.h_sharedenergy_caloparticle2multicl_vs_eta[count]->Fill(cP[cpId].g4Tracks()[0].momentum().eta(),
1957  multiClusters[bestmclId].energy() / CPenergy);
1958  histograms.h_sharedenergy_caloparticle2multicl_vs_phi[count]->Fill(cP[cpId].g4Tracks()[0].momentum().phi(),
1959  multiClusters[bestmclId].energy() / CPenergy);
1960  }
1961  if (assocDup >= 2) {
1962  auto match = std::find_if(std::begin(score3d[cpId]), std::end(score3d[cpId]), is_assoc);
1963  while (match != score3d[cpId].end()) {
1964  tracksters_duplicate[std::distance(std::begin(score3d[cpId]), match)] = 1;
1965  match = std::find_if(std::next(match), std::end(score3d[cpId]), is_assoc);
1966  }
1967  }
1968  histograms.h_denom_caloparticle_eta[count]->Fill(cP[cpId].g4Tracks()[0].momentum().eta());
1969  histograms.h_denom_caloparticle_phi[count]->Fill(cP[cpId].g4Tracks()[0].momentum().phi());
1970 
1971  } //end of loop through caloparticles
1972 
1973  // Here we do fill the plots to compute the different metrics linked to
1974  // reco-level, namely fake-rate an merge-rate. In this loop we should *not*
1975  // restrict only to the selected caloParaticles.
1976  for (unsigned int mclId = 0; mclId < nMultiClusters; ++mclId) {
1977  const auto& hits_and_fractions = multiClusters[mclId].hitsAndFractions();
1978  if (!hits_and_fractions.empty()) {
1979  auto assocFakeMerge = tracksters_fakemerge[mclId];
1980  auto assocDuplicate = tracksters_duplicate[mclId];
1981  if (assocDuplicate) {
1982  histograms.h_numDup_multicl_eta[count]->Fill(multiClusters[mclId].eta());
1983  histograms.h_numDup_multicl_phi[count]->Fill(multiClusters[mclId].phi());
1984  }
1985  if (assocFakeMerge > 0) {
1986  histograms.h_num_multicl_eta[count]->Fill(multiClusters[mclId].eta());
1987  histograms.h_num_multicl_phi[count]->Fill(multiClusters[mclId].phi());
1988  auto best = std::min_element(std::begin(cpsInMultiCluster[mclId]),
1989  std::end(cpsInMultiCluster[mclId]),
1990  [](const auto& obj1, const auto& obj2) { return obj1.second < obj2.second; });
1991 
1992  //This is the shared energy taking the best caloparticle in each layer
1993  float sharedeneCPallLayers = 0.;
1994  //Loop through all layers
1995  for (unsigned int j = 0; j < layers * 2; ++j) {
1996  auto const& best_cp_linked = cPOnLayer[best->first][j].layerClusterIdToEnergyAndScore[mclId];
1997  sharedeneCPallLayers += best_cp_linked.first;
1998  } //end of loop through layers
1999  histograms.h_sharedenergy_multicl2caloparticle_vs_eta[count]->Fill(
2000  multiClusters[mclId].eta(), sharedeneCPallLayers / multiClusters[mclId].energy());
2001  histograms.h_sharedenergy_multicl2caloparticle_vs_phi[count]->Fill(
2002  multiClusters[mclId].phi(), sharedeneCPallLayers / multiClusters[mclId].energy());
2003  }
2004  if (assocFakeMerge >= 2) {
2005  histograms.h_numMerge_multicl_eta[count]->Fill(multiClusters[mclId].eta());
2006  histograms.h_numMerge_multicl_phi[count]->Fill(multiClusters[mclId].phi());
2007  }
2008  histograms.h_denom_multicl_eta[count]->Fill(multiClusters[mclId].eta());
2009  histograms.h_denom_multicl_phi[count]->Fill(multiClusters[mclId].phi());
2010  }
2011  }
2012 }

References HltBtagPostValidation_cff::c, submitPVResolutionJobs::count, HLT_FULL_cff::distance, relativeConstraints::empty, mps_fire::end, HCALHighEnergyHPDFilter_cfi::energy, PVValHelper::eta, f, spr::find(), newFWLiteAna::found, SimCluster::hits_and_fractions(), mps_fire::i, dqmiolumiharvest::j, dqmdumpme::last, hgcalTopologyTester_cfi::layers, LogDebug, match(), min(), GetRecoTauVFromDQM_MC_cff::next, getGTfromDQMFile::obj, phi, recHitTools_, offlineSlimmedPrimaryVertices_cfi::score, ScoreCutCPtoMCLDup_, ScoreCutMCLtoCPFakeMerge_, tier0::unique(), and findQualityFiles::v.

Referenced by fill_multi_cluster_histos().

◆ setRecHitTools()

void HGVHistoProducerAlgo::setRecHitTools ( std::shared_ptr< hgcal::RecHitTools >  recHitTools)

Definition at line 2215 of file HGVHistoProducerAlgo.cc.

2215  {
2216  recHitTools_ = recHitTools;
2217 }

References recHitTools_.

Member Data Documentation

◆ maxCellsEneDensperthick_

double HGVHistoProducerAlgo::maxCellsEneDensperthick_
private

Definition at line 290 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ maxClEnepermultiplicity_

double HGVHistoProducerAlgo::maxClEnepermultiplicity_
private

Definition at line 302 of file HGVHistoProducerAlgo.h.

Referenced by bookMultiClusterHistos().

◆ maxClEneperthickperlayer_

double HGVHistoProducerAlgo::maxClEneperthickperlayer_
private

Definition at line 288 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ maxDisSeedToMaxperthickperlayer_

double HGVHistoProducerAlgo::maxDisSeedToMaxperthickperlayer_
private

Definition at line 286 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ maxDisToMaxperthickperlayer_

double HGVHistoProducerAlgo::maxDisToMaxperthickperlayer_
private

Definition at line 282 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ maxDisToMaxperthickperlayerenewei_

double HGVHistoProducerAlgo::maxDisToMaxperthickperlayerenewei_
private

Definition at line 284 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ maxDisToSeedperthickperlayer_

double HGVHistoProducerAlgo::maxDisToSeedperthickperlayer_
private

Definition at line 278 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ maxDisToSeedperthickperlayerenewei_

double HGVHistoProducerAlgo::maxDisToSeedperthickperlayerenewei_
private

Definition at line 280 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ maxEne_

double HGVHistoProducerAlgo::maxEne_
private

Definition at line 250 of file HGVHistoProducerAlgo.h.

Referenced by bookCaloParticleHistos(), and bookMultiClusterHistos().

◆ maxEneCl_

double HGVHistoProducerAlgo::maxEneCl_
private

Definition at line 258 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ maxEneClperlay_

double HGVHistoProducerAlgo::maxEneClperlay_
private

Definition at line 266 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ maxEta_

double HGVHistoProducerAlgo::maxEta_
private

Definition at line 247 of file HGVHistoProducerAlgo.h.

Referenced by bookCaloParticleHistos(), bookClusterHistos(), and bookMultiClusterHistos().

◆ maxLongDepBary_

double HGVHistoProducerAlgo::maxLongDepBary_
private

Definition at line 260 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ maxMCLSharedEneFrac_

double HGVHistoProducerAlgo::maxMCLSharedEneFrac_
private

Definition at line 272 of file HGVHistoProducerAlgo.h.

Referenced by bookMultiClusterHistos().

◆ maxMixedHitsCluster_

double HGVHistoProducerAlgo::maxMixedHitsCluster_
private

Definition at line 256 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ maxMplofLCs_

double HGVHistoProducerAlgo::maxMplofLCs_
private

Definition at line 298 of file HGVHistoProducerAlgo.h.

Referenced by bookMultiClusterHistos().

◆ maxPhi_

double HGVHistoProducerAlgo::maxPhi_
private

Definition at line 254 of file HGVHistoProducerAlgo.h.

Referenced by bookCaloParticleHistos(), bookClusterHistos(), and bookMultiClusterHistos().

◆ maxPt_

double HGVHistoProducerAlgo::maxPt_
private

Definition at line 252 of file HGVHistoProducerAlgo.h.

Referenced by bookCaloParticleHistos(), and bookMultiClusterHistos().

◆ maxScore_

double HGVHistoProducerAlgo::maxScore_
private

Definition at line 268 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos(), and bookMultiClusterHistos().

◆ maxSharedEneFrac_

double HGVHistoProducerAlgo::maxSharedEneFrac_
private

Definition at line 270 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ maxSizeCLsinMCLs_

double HGVHistoProducerAlgo::maxSizeCLsinMCLs_
private

Definition at line 300 of file HGVHistoProducerAlgo.h.

Referenced by bookMultiClusterHistos().

◆ maxTotNcellsperthickperlayer_

double HGVHistoProducerAlgo::maxTotNcellsperthickperlayer_
private

Definition at line 276 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ maxTotNClsinMCLs_

double HGVHistoProducerAlgo::maxTotNClsinMCLs_
private

Definition at line 294 of file HGVHistoProducerAlgo.h.

Referenced by bookMultiClusterHistos().

◆ maxTotNClsinMCLsperlayer_

double HGVHistoProducerAlgo::maxTotNClsinMCLsperlayer_
private

Definition at line 296 of file HGVHistoProducerAlgo.h.

Referenced by bookMultiClusterHistos().

◆ maxTotNClsperlay_

double HGVHistoProducerAlgo::maxTotNClsperlay_
private

Definition at line 264 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ maxTotNClsperthick_

double HGVHistoProducerAlgo::maxTotNClsperthick_
private

Definition at line 274 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ maxTotNMCLs_

double HGVHistoProducerAlgo::maxTotNMCLs_
private

Definition at line 292 of file HGVHistoProducerAlgo.h.

Referenced by bookMultiClusterHistos().

◆ maxX_

double HGVHistoProducerAlgo::maxX_
private

Definition at line 304 of file HGVHistoProducerAlgo.h.

Referenced by bookMultiClusterHistos().

◆ maxY_

double HGVHistoProducerAlgo::maxY_
private

Definition at line 306 of file HGVHistoProducerAlgo.h.

Referenced by bookMultiClusterHistos().

◆ maxZ_

double HGVHistoProducerAlgo::maxZ_
private

Definition at line 308 of file HGVHistoProducerAlgo.h.

Referenced by bookMultiClusterHistos().

◆ maxZpos_

double HGVHistoProducerAlgo::maxZpos_
private

Definition at line 262 of file HGVHistoProducerAlgo.h.

Referenced by bookCaloParticleHistos().

◆ minCellsEneDensperthick_

double HGVHistoProducerAlgo::minCellsEneDensperthick_
private

Definition at line 290 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ minClEnepermultiplicity_

double HGVHistoProducerAlgo::minClEnepermultiplicity_
private

Definition at line 302 of file HGVHistoProducerAlgo.h.

Referenced by bookMultiClusterHistos().

◆ minClEneperthickperlayer_

double HGVHistoProducerAlgo::minClEneperthickperlayer_
private

Definition at line 288 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ minDisSeedToMaxperthickperlayer_

double HGVHistoProducerAlgo::minDisSeedToMaxperthickperlayer_
private

Definition at line 286 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ minDisToMaxperthickperlayer_

double HGVHistoProducerAlgo::minDisToMaxperthickperlayer_
private

Definition at line 282 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ minDisToMaxperthickperlayerenewei_

double HGVHistoProducerAlgo::minDisToMaxperthickperlayerenewei_
private

Definition at line 284 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ minDisToSeedperthickperlayer_

double HGVHistoProducerAlgo::minDisToSeedperthickperlayer_
private

Definition at line 278 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ minDisToSeedperthickperlayerenewei_

double HGVHistoProducerAlgo::minDisToSeedperthickperlayerenewei_
private

Definition at line 280 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ minEne_

double HGVHistoProducerAlgo::minEne_
private

Definition at line 250 of file HGVHistoProducerAlgo.h.

Referenced by bookCaloParticleHistos(), and bookMultiClusterHistos().

◆ minEneCl_

double HGVHistoProducerAlgo::minEneCl_
private

Definition at line 258 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ minEneClperlay_

double HGVHistoProducerAlgo::minEneClperlay_
private

Definition at line 266 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ minEta_

double HGVHistoProducerAlgo::minEta_
private

Definition at line 247 of file HGVHistoProducerAlgo.h.

Referenced by bookCaloParticleHistos(), bookClusterHistos(), and bookMultiClusterHistos().

◆ minLongDepBary_

double HGVHistoProducerAlgo::minLongDepBary_
private

Definition at line 260 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ minMCLSharedEneFrac_

double HGVHistoProducerAlgo::minMCLSharedEneFrac_
private

Definition at line 272 of file HGVHistoProducerAlgo.h.

Referenced by bookMultiClusterHistos().

◆ minMixedHitsCluster_

double HGVHistoProducerAlgo::minMixedHitsCluster_
private

Definition at line 256 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ minMplofLCs_

double HGVHistoProducerAlgo::minMplofLCs_
private

Definition at line 298 of file HGVHistoProducerAlgo.h.

Referenced by bookMultiClusterHistos().

◆ minPhi_

double HGVHistoProducerAlgo::minPhi_
private

Definition at line 254 of file HGVHistoProducerAlgo.h.

Referenced by bookCaloParticleHistos(), bookClusterHistos(), and bookMultiClusterHistos().

◆ minPt_

double HGVHistoProducerAlgo::minPt_
private

Definition at line 252 of file HGVHistoProducerAlgo.h.

Referenced by bookCaloParticleHistos(), and bookMultiClusterHistos().

◆ minScore_

double HGVHistoProducerAlgo::minScore_
private

Definition at line 268 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos(), and bookMultiClusterHistos().

◆ minSharedEneFrac_

double HGVHistoProducerAlgo::minSharedEneFrac_
private

Definition at line 270 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ minSizeCLsinMCLs_

double HGVHistoProducerAlgo::minSizeCLsinMCLs_
private

Definition at line 300 of file HGVHistoProducerAlgo.h.

Referenced by bookMultiClusterHistos().

◆ minTotNcellsperthickperlayer_

double HGVHistoProducerAlgo::minTotNcellsperthickperlayer_
private

Definition at line 276 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ minTotNClsinMCLs_

double HGVHistoProducerAlgo::minTotNClsinMCLs_
private

Definition at line 294 of file HGVHistoProducerAlgo.h.

Referenced by bookMultiClusterHistos().

◆ minTotNClsinMCLsperlayer_

double HGVHistoProducerAlgo::minTotNClsinMCLsperlayer_
private

Definition at line 296 of file HGVHistoProducerAlgo.h.

Referenced by bookMultiClusterHistos().

◆ minTotNClsperlay_

double HGVHistoProducerAlgo::minTotNClsperlay_
private

Definition at line 264 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ minTotNClsperthick_

double HGVHistoProducerAlgo::minTotNClsperthick_
private

Definition at line 274 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ minTotNMCLs_

double HGVHistoProducerAlgo::minTotNMCLs_
private

Definition at line 292 of file HGVHistoProducerAlgo.h.

Referenced by bookMultiClusterHistos().

◆ minX_

double HGVHistoProducerAlgo::minX_
private

Definition at line 304 of file HGVHistoProducerAlgo.h.

Referenced by bookMultiClusterHistos().

◆ minY_

double HGVHistoProducerAlgo::minY_
private

Definition at line 306 of file HGVHistoProducerAlgo.h.

Referenced by bookMultiClusterHistos().

◆ minZ_

double HGVHistoProducerAlgo::minZ_
private

Definition at line 308 of file HGVHistoProducerAlgo.h.

Referenced by bookMultiClusterHistos().

◆ minZpos_

double HGVHistoProducerAlgo::minZpos_
private

Definition at line 262 of file HGVHistoProducerAlgo.h.

Referenced by bookCaloParticleHistos().

◆ nintCellsEneDensperthick_

int HGVHistoProducerAlgo::nintCellsEneDensperthick_
private

Definition at line 291 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ nintClEnepermultiplicity_

int HGVHistoProducerAlgo::nintClEnepermultiplicity_
private

Definition at line 303 of file HGVHistoProducerAlgo.h.

Referenced by bookMultiClusterHistos().

◆ nintClEneperthickperlayer_

int HGVHistoProducerAlgo::nintClEneperthickperlayer_
private

Definition at line 289 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ nintDisSeedToMaxperthickperlayer_

int HGVHistoProducerAlgo::nintDisSeedToMaxperthickperlayer_
private

Definition at line 287 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ nintDisToMaxperthickperlayer_

int HGVHistoProducerAlgo::nintDisToMaxperthickperlayer_
private

Definition at line 283 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ nintDisToMaxperthickperlayerenewei_

int HGVHistoProducerAlgo::nintDisToMaxperthickperlayerenewei_
private

Definition at line 285 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ nintDisToSeedperthickperlayer_

int HGVHistoProducerAlgo::nintDisToSeedperthickperlayer_
private

Definition at line 279 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ nintDisToSeedperthickperlayerenewei_

int HGVHistoProducerAlgo::nintDisToSeedperthickperlayerenewei_
private

Definition at line 281 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ nintEne_

int HGVHistoProducerAlgo::nintEne_
private

Definition at line 251 of file HGVHistoProducerAlgo.h.

Referenced by bookCaloParticleHistos(), and bookMultiClusterHistos().

◆ nintEneCl_

int HGVHistoProducerAlgo::nintEneCl_
private

Definition at line 259 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ nintEneClperlay_

int HGVHistoProducerAlgo::nintEneClperlay_
private

Definition at line 267 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ nintEta_

int HGVHistoProducerAlgo::nintEta_
private

Definition at line 248 of file HGVHistoProducerAlgo.h.

Referenced by bookCaloParticleHistos(), bookClusterHistos(), and bookMultiClusterHistos().

◆ nintLongDepBary_

int HGVHistoProducerAlgo::nintLongDepBary_
private

Definition at line 261 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ nintMCLSharedEneFrac_

int HGVHistoProducerAlgo::nintMCLSharedEneFrac_
private

Definition at line 273 of file HGVHistoProducerAlgo.h.

◆ nintMixedHitsCluster_

int HGVHistoProducerAlgo::nintMixedHitsCluster_
private

Definition at line 257 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ nintMplofLCs_

int HGVHistoProducerAlgo::nintMplofLCs_
private

Definition at line 299 of file HGVHistoProducerAlgo.h.

Referenced by bookMultiClusterHistos().

◆ nintPhi_

int HGVHistoProducerAlgo::nintPhi_
private

Definition at line 255 of file HGVHistoProducerAlgo.h.

Referenced by bookCaloParticleHistos(), bookClusterHistos(), and bookMultiClusterHistos().

◆ nintPt_

int HGVHistoProducerAlgo::nintPt_
private

Definition at line 253 of file HGVHistoProducerAlgo.h.

Referenced by bookCaloParticleHistos(), and bookMultiClusterHistos().

◆ nintScore_

int HGVHistoProducerAlgo::nintScore_
private

Definition at line 269 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos(), and bookMultiClusterHistos().

◆ nintSharedEneFrac_

int HGVHistoProducerAlgo::nintSharedEneFrac_
private

Definition at line 271 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos(), and bookMultiClusterHistos().

◆ nintSizeCLsinMCLs_

int HGVHistoProducerAlgo::nintSizeCLsinMCLs_
private

Definition at line 301 of file HGVHistoProducerAlgo.h.

Referenced by bookMultiClusterHistos().

◆ nintTotNcellsperthickperlayer_

int HGVHistoProducerAlgo::nintTotNcellsperthickperlayer_
private

Definition at line 277 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ nintTotNClsinMCLs_

int HGVHistoProducerAlgo::nintTotNClsinMCLs_
private

Definition at line 295 of file HGVHistoProducerAlgo.h.

Referenced by bookMultiClusterHistos().

◆ nintTotNClsinMCLsperlayer_

int HGVHistoProducerAlgo::nintTotNClsinMCLsperlayer_
private

Definition at line 297 of file HGVHistoProducerAlgo.h.

Referenced by bookMultiClusterHistos().

◆ nintTotNClsperlay_

int HGVHistoProducerAlgo::nintTotNClsperlay_
private

Definition at line 265 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ nintTotNClsperthick_

int HGVHistoProducerAlgo::nintTotNClsperthick_
private

Definition at line 275 of file HGVHistoProducerAlgo.h.

Referenced by bookClusterHistos().

◆ nintTotNMCLs_

int HGVHistoProducerAlgo::nintTotNMCLs_
private

Definition at line 293 of file HGVHistoProducerAlgo.h.

Referenced by bookMultiClusterHistos().

◆ nintX_

int HGVHistoProducerAlgo::nintX_
private

Definition at line 305 of file HGVHistoProducerAlgo.h.

Referenced by bookMultiClusterHistos().

◆ nintY_

int HGVHistoProducerAlgo::nintY_
private

Definition at line 307 of file HGVHistoProducerAlgo.h.

Referenced by bookMultiClusterHistos().

◆ nintZ_

int HGVHistoProducerAlgo::nintZ_
private

Definition at line 309 of file HGVHistoProducerAlgo.h.

Referenced by bookMultiClusterHistos().

◆ nintZpos_

int HGVHistoProducerAlgo::nintZpos_
private

Definition at line 263 of file HGVHistoProducerAlgo.h.

Referenced by bookCaloParticleHistos().

◆ recHitTools_

std::shared_ptr<hgcal::RecHitTools> HGVHistoProducerAlgo::recHitTools_
private

Definition at line 244 of file HGVHistoProducerAlgo.h.

Referenced by fill_generic_cluster_histos(), fill_info_histos(), fill_multi_cluster_histos(), layerClusters_to_CaloParticles(), multiClusters_to_CaloParticles(), and setRecHitTools().

◆ useFabsEta_

bool HGVHistoProducerAlgo::useFabsEta_
private

Definition at line 249 of file HGVHistoProducerAlgo.h.

Referenced by getEta().

HGVHistoProducerAlgo::nintLongDepBary_
int nintLongDepBary_
Definition: HGVHistoProducerAlgo.h:261
HGVHistoProducerAlgo::maxSizeCLsinMCLs_
double maxSizeCLsinMCLs_
Definition: HGVHistoProducerAlgo.h:300
HGVHistoProducerAlgo::maxEta_
double maxEta_
Definition: HGVHistoProducerAlgo.h:247
DDAxes::y
hgcal::LayerClusterToCaloParticleAssociator::associateSimToReco
hgcal::SimToRecoCollection associateSimToReco(const edm::Handle< reco::CaloClusterCollection > &cCCH, const edm::Handle< CaloParticleCollection > &cPCH) const
Associate a CaloParticle to LayerClusters.
Definition: LayerClusterToCaloParticleAssociator.h:32
HGVHistoProducerAlgo::maxY_
double maxY_
Definition: HGVHistoProducerAlgo.h:306
HGVHistoProducerAlgo::nintTotNcellsperthickperlayer_
int nintTotNcellsperthickperlayer_
Definition: HGVHistoProducerAlgo.h:277
edm::AssociationMap::find
const_iterator find(const key_type &k) const
find element with specified reference key
Definition: AssociationMap.h:173
mps_fire.i
i
Definition: mps_fire.py:428
HGVHistoProducerAlgo::maxClEnepermultiplicity_
double maxClEnepermultiplicity_
Definition: HGVHistoProducerAlgo.h:302
HGVHistoProducerAlgo::nintDisSeedToMaxperthickperlayer_
int nintDisSeedToMaxperthickperlayer_
Definition: HGVHistoProducerAlgo.h:287
HGVHistoProducerAlgo::minMixedHitsCluster_
double minMixedHitsCluster_
Definition: HGVHistoProducerAlgo.h:256
HGVHistoProducerAlgo::useFabsEta_
bool useFabsEta_
Definition: HGVHistoProducerAlgo.h:249
HGVHistoProducerAlgo::minZ_
double minZ_
Definition: HGVHistoProducerAlgo.h:308
CaloParticle::eta
float eta() const
Momentum pseudorapidity. Note this is taken from the simtrack before the calorimeter.
Definition: CaloParticle.h:142
HGVHistoProducerAlgo::maxMixedHitsCluster_
double maxMixedHitsCluster_
Definition: HGVHistoProducerAlgo.h:256
HGVHistoProducerAlgo::nintClEnepermultiplicity_
int nintClEnepermultiplicity_
Definition: HGVHistoProducerAlgo.h:303
HGVHistoProducerAlgo::nintPhi_
int nintPhi_
Definition: HGVHistoProducerAlgo.h:255
HGVHistoProducerAlgo::maxEneClperlay_
double maxEneClperlay_
Definition: HGVHistoProducerAlgo.h:266
f
double f[11][100]
Definition: MuScleFitUtils.cc:78
HGVHistoProducerAlgo::nintZpos_
int nintZpos_
Definition: HGVHistoProducerAlgo.h:263
HGVHistoProducerAlgo::minDisToMaxperthickperlayer_
double minDisToMaxperthickperlayer_
Definition: HGVHistoProducerAlgo.h:282
DiDispStaMuonMonitor_cfi.pt
pt
Definition: DiDispStaMuonMonitor_cfi.py:39
min
T min(T a, T b)
Definition: MathUtil.h:58
ecaldqm::zside
int zside(DetId const &)
Definition: EcalDQMCommonUtils.cc:189
testProducerWithPsetDescEmpty_cfi.x2
x2
Definition: testProducerWithPsetDescEmpty_cfi.py:28
AlCaHLTBitMon_ParallelJobs.p
p
Definition: AlCaHLTBitMon_ParallelJobs.py:153
HGVHistoProducerAlgo::minX_
double minX_
Definition: HGVHistoProducerAlgo.h:304
DetId::det
constexpr Detector det() const
get the detector field from this detid
Definition: DetId.h:46
HGVHistoProducerAlgo::minTotNClsinMCLs_
double minTotNClsinMCLs_
Definition: HGVHistoProducerAlgo.h:294
HGVHistoProducerAlgo::maxTotNClsperthick_
double maxTotNClsperthick_
Definition: HGVHistoProducerAlgo.h:274
hgcal::LayerClusterToCaloParticleAssociator::associateRecoToSim
hgcal::RecoToSimCollection associateRecoToSim(const edm::Handle< reco::CaloClusterCollection > &cCCH, const edm::Handle< CaloParticleCollection > &cPCH) const
Associate a LayerCluster to CaloParticles.
Definition: LayerClusterToCaloParticleAssociator.h:26
HGVHistoProducerAlgo::nintEne_
int nintEne_
Definition: HGVHistoProducerAlgo.h:251
CaloParticle::g4Tracks
const std::vector< SimTrack > & g4Tracks() const
Definition: CaloParticle.h:74
CaloParticle::energy
float energy() const
Energy. Note this is taken from the first SimTrack only.
Definition: CaloParticle.h:98
DDAxes::x
edm::RefVector< SimClusterCollection >
SimCluster
Monte Carlo truth information used for tracking validation.
Definition: SimCluster.h:29
findQualityFiles.v
v
Definition: findQualityFiles.py:179
ScoreCutLCtoCP_
const double ScoreCutLCtoCP_
Definition: HGVHistoProducerAlgo.cc:15
HGVHistoProducerAlgo::minEneClperlay_
double minEneClperlay_
Definition: HGVHistoProducerAlgo.h:266
spr::find
void find(edm::Handle< EcalRecHitCollection > &hits, DetId thisDet, std::vector< EcalRecHitCollection::const_iterator > &hit, bool debug=false)
Definition: FindCaloHit.cc:19
newFWLiteAna.found
found
Definition: newFWLiteAna.py:118
HGVHistoProducerAlgo::nintMCLSharedEneFrac_
int nintMCLSharedEneFrac_
Definition: HGVHistoProducerAlgo.h:273
HGVHistoProducerAlgo::minSizeCLsinMCLs_
double minSizeCLsinMCLs_
Definition: HGVHistoProducerAlgo.h:300
edm::Ref
Definition: AssociativeIterator.h:58
HGVHistoProducerAlgo::nintDisToMaxperthickperlayerenewei_
int nintDisToMaxperthickperlayerenewei_
Definition: HGVHistoProducerAlgo.h:285
trackingPlots.assoc
assoc
Definition: trackingPlots.py:184
HGVHistoProducerAlgo::nintEneCl_
int nintEneCl_
Definition: HGVHistoProducerAlgo.h:259
ScoreCutMCLtoCPFakeMerge_
const double ScoreCutMCLtoCPFakeMerge_
Definition: HGVHistoProducerAlgo.cc:17
HGVHistoProducerAlgo::maxDisToMaxperthickperlayerenewei_
double maxDisToMaxperthickperlayerenewei_
Definition: HGVHistoProducerAlgo.h:284
HGVHistoProducerAlgo::maxEneCl_
double maxEneCl_
Definition: HGVHistoProducerAlgo.h:258
DetId
Definition: DetId.h:17
HGVHistoProducerAlgo::minLongDepBary_
double minLongDepBary_
Definition: HGVHistoProducerAlgo.h:260
edm::AssociationMap::end
const_iterator end() const
last iterator over the map (read only)
Definition: AssociationMap.h:171
HGVHistoProducerAlgo::maxZpos_
double maxZpos_
Definition: HGVHistoProducerAlgo.h:262
DetId::HGCalHSi
Definition: DetId.h:33
DetId::HGCalEE
Definition: DetId.h:32
testProducerWithPsetDescEmpty_cfi.x1
x1
Definition: testProducerWithPsetDescEmpty_cfi.py:33
dqmdumpme.last
last
Definition: dqmdumpme.py:56
testProducerWithPsetDescEmpty_cfi.y1
y1
Definition: testProducerWithPsetDescEmpty_cfi.py:29
HGVHistoProducerAlgo::nintTotNMCLs_
int nintTotNMCLs_
Definition: HGVHistoProducerAlgo.h:293
HGVHistoProducerAlgo::nintTotNClsinMCLs_
int nintTotNClsinMCLs_
Definition: HGVHistoProducerAlgo.h:295
h
HGVHistoProducerAlgo::multiClusters_to_CaloParticles
void multiClusters_to_CaloParticles(const Histograms &histograms, int count, const std::vector< reco::HGCalMultiCluster > &multiClusters, std::vector< CaloParticle > const &cP, std::vector< size_t > const &cPIndices, std::vector< size_t > const &cPSelectedIndices, std::unordered_map< DetId, const HGCRecHit * > const &, unsigned layers) const
Definition: HGVHistoProducerAlgo.cc:1408
HGVHistoProducerAlgo::maxMplofLCs_
double maxMplofLCs_
Definition: HGVHistoProducerAlgo.h:298
HGVHistoProducerAlgo::nintDisToSeedperthickperlayer_
int nintDisToSeedperthickperlayer_
Definition: HGVHistoProducerAlgo.h:279
HGVHistoProducerAlgo::minEneCl_
double minEneCl_
Definition: HGVHistoProducerAlgo.h:258
Calorimetry_cff.thickness
thickness
Definition: Calorimetry_cff.py:114
PVValHelper::eta
Definition: PVValidationHelpers.h:69
HGVHistoProducerAlgo::maxLongDepBary_
double maxLongDepBary_
Definition: HGVHistoProducerAlgo.h:260
mathSSE::sqrt
T sqrt(T t)
Definition: SSEVec.h:19
ScoreCutCPtoMCLDup_
const double ScoreCutCPtoMCLDup_
Definition: HGVHistoProducerAlgo.cc:18
mps_fire.end
end
Definition: mps_fire.py:242
DDAxes::z
HGVHistoProducerAlgo::nintMplofLCs_
int nintMplofLCs_
Definition: HGVHistoProducerAlgo.h:299
dqm::implementation::IBooker::bookProfile
MonitorElement * bookProfile(TString const &name, TString const &title, int nchX, double lowX, double highX, int, double lowY, double highY, char const *option="s", FUNC onbooking=NOOP())
Definition: DQMStore.h:322
HGVHistoProducerAlgo::maxDisToSeedperthickperlayerenewei_
double maxDisToSeedperthickperlayerenewei_
Definition: HGVHistoProducerAlgo.h:280
CaloParticle::phi
float phi() const
Momentum azimuthal angle. Note this is taken from the first SimTrack only.
Definition: CaloParticle.h:134
submitPVResolutionJobs.count
count
Definition: submitPVResolutionJobs.py:352
HCALHighEnergyHPDFilter_cfi.energy
energy
Definition: HCALHighEnergyHPDFilter_cfi.py:5
HGVHistoProducerAlgo::getEta
double getEta(double eta) const
Definition: HGVHistoProducerAlgo.cc:2242
HGVHistoProducerAlgo::minClEneperthickperlayer_
double minClEneperthickperlayer_
Definition: HGVHistoProducerAlgo.h:288
HGVHistoProducerAlgo::minTotNClsinMCLsperlayer_
double minTotNClsinMCLsperlayer_
Definition: HGVHistoProducerAlgo.h:296
HGVHistoProducerAlgo::nintSizeCLsinMCLs_
int nintSizeCLsinMCLs_
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Definition: HGVHistoProducerAlgo.h:302
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Definition: HGVHistoProducerAlgo.h:296
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Definition: HGVHistoProducerAlgo.h:309
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Definition: HGVHistoProducerAlgo.h:265
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Definition: HGVHistoProducerAlgo.h:271
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Definition: HGVHistoProducerAlgo.h:252
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Definition: HGVHistoProducerAlgo.h:270
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Definition: getGTfromDQMFile.py:32
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Definition: HGVHistoProducerAlgo.h:278
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Definition: HGVHistoProducerAlgo.h:244
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Definition: AlCaHLTBitMon_QueryRunRegistry.py:256
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Definition: HGVHistoProducerAlgo.h:278
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Definition: HGCRecHit.h:14
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Definition: HGVHistoProducerAlgo.cc:2208
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Definition: HGVHistoProducerAlgo.h:291
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Definition: HGVHistoProducerAlgo.h:254
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Definition: testProducerWithPsetDescEmpty_cfi.py:30
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Definition: MessageLogger.h:223
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Definition: HGVHistoProducerAlgo.h:288
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pseudorapidity of cluster centroid
Definition: CaloCluster.h:181
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const std::vector< std::pair< DetId, float > > & hitsAndFractions() const
Definition: CaloCluster.h:210
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Definition: AssociationMap.h:48
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Definition: HGVHistoProducerAlgo.h:267
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Definition: HGVHistoProducerAlgo.h:272
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Definition: HGVHistoProducerAlgo.h:227
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Generic matching function.
Definition: Utils.h:10
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Definition: HGVHistoProducerAlgo.h:308
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Definition: HGVHistoProducerAlgo.cc:16
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Definition: DQMStore.h:73
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Definition: HGVHistoProducerAlgo.h:289
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Definition: HGVHistoProducerAlgo.h:270
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Definition: HGVHistoProducerAlgo.h:221
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Definition: HGVHistoProducerAlgo.h:247
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Definition: HGVHistoProducerAlgo.h:254
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Definition: trackerHitRTTI.h:21
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Definition: HGVHistoProducerAlgo.h:304
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Definition: PVValidationHelpers.h:49
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Definition: histograms.py:1
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Definition: HltBtagPostValidation_cff.py:31
HGVHistoProducerAlgo::minPt_
double minPt_
Definition: HGVHistoProducerAlgo.h:252
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int nintDisToMaxperthickperlayer_
Definition: HGVHistoProducerAlgo.h:283
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float pt() const
Transverse momentum. Note this is taken from the first SimTrack only.
Definition: CaloParticle.h:130
HGVHistoProducerAlgo::nintTotNClsperthick_
int nintTotNClsperthick_
Definition: HGVHistoProducerAlgo.h:275
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int nintMixedHitsCluster_
Definition: HGVHistoProducerAlgo.h:257
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Definition: HGVHistoProducerAlgo.h:264
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Definition: HGVHistoProducerAlgo.h:306
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double maxTotNcellsperthickperlayer_
Definition: HGVHistoProducerAlgo.h:276
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Definition: HGCalDetId.h:8
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def move(src, dest)
Definition: eostools.py:511
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constexpr uint32_t rawId() const
get the raw id
Definition: DetId.h:57
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double maxDisSeedToMaxperthickperlayer_
Definition: HGVHistoProducerAlgo.h:286
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Definition: HGVHistoProducerAlgo.h:248
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Definition: HGVHistoProducerAlgo.h:290
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def unique(seq, keepstr=True)
Definition: tier0.py:24
HGVHistoProducerAlgo::maxTotNMCLs_
double maxTotNMCLs_
Definition: HGVHistoProducerAlgo.h:292
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int nintY_
Definition: HGVHistoProducerAlgo.h:307
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Definition: DetId.h:34
HGVHistoProducerAlgo::minTotNClsperlay_
double minTotNClsperlay_
Definition: HGVHistoProducerAlgo.h:264
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double minDisToMaxperthickperlayerenewei_
Definition: HGVHistoProducerAlgo.h:284
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MonitorElement * book2D(TString const &name, TString const &title, int nchX, double lowX, double highX, int nchY, double lowY, double highY, FUNC onbooking=NOOP())
Definition: DQMStore.h:177
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Definition: relativeConstraints.py:46
HGVHistoProducerAlgo::minCellsEneDensperthick_
double minCellsEneDensperthick_
Definition: HGVHistoProducerAlgo.h:290
HGVHistoProducerAlgo::minZpos_
double minZpos_
Definition: HGVHistoProducerAlgo.h:262
HGVHistoProducerAlgo::minEne_
double minEne_
Definition: HGVHistoProducerAlgo.h:250
HGVHistoProducerAlgo::findmaxhit
DetId findmaxhit(const reco::CaloCluster &cluster, std::unordered_map< DetId, const HGCRecHit * > const &) const
Definition: HGVHistoProducerAlgo.cc:2219
HGVHistoProducerAlgo::minTotNcellsperthickperlayer_
double minTotNcellsperthickperlayer_
Definition: HGVHistoProducerAlgo.h:276
HGVHistoProducerAlgo::distance2
double distance2(const double x1, const double y1, const double x2, const double y2) const
Definition: HGVHistoProducerAlgo.cc:2200
SimCluster::hits_and_fractions
std::vector< std::pair< uint32_t, float > > hits_and_fractions() const
Returns list of rechit IDs and fractions for this SimCluster.
Definition: SimCluster.h:184
HGVHistoProducerAlgo::maxDisToMaxperthickperlayer_
double maxDisToMaxperthickperlayer_
Definition: HGVHistoProducerAlgo.h:282
HGVHistoProducerAlgo::maxEne_
double maxEne_
Definition: HGVHistoProducerAlgo.h:250
HGVHistoProducerAlgo::maxScore_
double maxScore_
Definition: HGVHistoProducerAlgo.h:268
HGCalValidator_cfi.simVertices
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Definition: HGCalValidator_cfi.py:43
offlineSlimmedPrimaryVertices_cfi.score
score
Definition: offlineSlimmedPrimaryVertices_cfi.py:6
HGVHistoProducerAlgo::nintDisToSeedperthickperlayerenewei_
int nintDisToSeedperthickperlayerenewei_
Definition: HGVHistoProducerAlgo.h:281
dqmiolumiharvest.j
j
Definition: dqmiolumiharvest.py:66
DetId::Forward
Definition: DetId.h:30
HGVHistoProducerAlgo::nintX_
int nintX_
Definition: HGVHistoProducerAlgo.h:305
EgammaValidation_cff.pdgid
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Definition: EgammaValidation_cff.py:30
HGVHistoProducerAlgo::minTotNClsperthick_
double minTotNClsperthick_
Definition: HGVHistoProducerAlgo.h:274
HLT_FULL_cff.distance
distance
Definition: HLT_FULL_cff.py:7733
HGVHistoProducerAlgo::minTotNMCLs_
double minTotNMCLs_
Definition: HGVHistoProducerAlgo.h:292
PVValHelper::dx
Definition: PVValidationHelpers.h:48
HGVHistoProducerAlgo::minScore_
double minScore_
Definition: HGVHistoProducerAlgo.h:268
hgcalTopologyTester_cfi.layers
layers
Definition: hgcalTopologyTester_cfi.py:8
HGVHistoProducerAlgo::minDisSeedToMaxperthickperlayer_
double minDisSeedToMaxperthickperlayer_
Definition: HGVHistoProducerAlgo.h:286
HGVHistoProducerAlgo::minDisToSeedperthickperlayerenewei_
double minDisToSeedperthickperlayerenewei_
Definition: HGVHistoProducerAlgo.h:280
hit
Definition: SiStripHitEffFromCalibTree.cc:88
muonDTDigis_cfi.pset
pset
Definition: muonDTDigis_cfi.py:27
HGVHistoProducerAlgo::layerClusters_to_CaloParticles
void layerClusters_to_CaloParticles(const Histograms &histograms, edm::Handle< reco::CaloClusterCollection > clusterHandle, const reco::CaloClusterCollection &clusters, edm::Handle< std::vector< CaloParticle >> caloParticleHandle, std::vector< CaloParticle > const &cP, std::vector< size_t > const &cPIndices, std::vector< size_t > const &cPSelectedIndices, std::unordered_map< DetId, const HGCRecHit * > const &, unsigned layers, const edm::Handle< hgcal::LayerClusterToCaloParticleAssociator > &LCAssocByEnergyScoreHandle) const
Definition: HGVHistoProducerAlgo.cc:811
dqm::implementation::IBooker::book1D
MonitorElement * book1D(TString const &name, TString const &title, int const nchX, double const lowX, double const highX, FUNC onbooking=NOOP())
Definition: DQMStore.h:98
HGVHistoProducerAlgo::minMplofLCs_
double minMplofLCs_
Definition: HGVHistoProducerAlgo.h:298
HGVHistoProducerAlgo::minMCLSharedEneFrac_
double minMCLSharedEneFrac_
Definition: HGVHistoProducerAlgo.h:272
GetRecoTauVFromDQM_MC_cff.next
next
Definition: GetRecoTauVFromDQM_MC_cff.py:31
HGVHistoProducerAlgo::maxTotNClsinMCLs_
double maxTotNClsinMCLs_
Definition: HGVHistoProducerAlgo.h:294
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