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PrimaryVertexAnalyzer4PUSlimmed.cc
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1 #include "Validation/RecoVertex/interface/PrimaryVertexAnalyzer4PUSlimmed.h"
2 
3 #include "FWCore/Framework/interface/Event.h"
4 #include "FWCore/Framework/interface/EventSetup.h"
5 #include "FWCore/ParameterSet/interface/ParameterSet.h"
6 #include "FWCore/MessageLogger/interface/MessageLogger.h"
7 
8 // reco track and vertex
9 #include "DataFormats/VertexReco/interface/Vertex.h"
10 #include "RecoVertex/VertexPrimitives/interface/TransientVertex.h"
11 
12 // TrackingParticle
13 #include "SimDataFormats/TrackingAnalysis/interface/TrackingParticleFwd.h"
14 #include "SimDataFormats/TrackingAnalysis/interface/TrackingVertexContainer.h"
15 
16 // associator
17 #include "SimTracker/Records/interface/TrackAssociatorRecord.h"
18 #include "SimTracker/VertexAssociation/interface/calculateVertexSharedTracks.h"
19 
20 // DQM
21 #include "DQMServices/Core/interface/MonitorElement.h"
22 
23 #include <numeric>
24 
25 //
26 // constructors and destructor
27 //
28 PrimaryVertexAnalyzer4PUSlimmed::PrimaryVertexAnalyzer4PUSlimmed(
29  const edm::ParameterSet& iConfig)
30  : verbose_(iConfig.getUntrackedParameter<bool>("verbose", false)),
31  use_only_charged_tracks_(iConfig.getUntrackedParameter<bool>(
32  "use_only_charged_tracks", true)),
33  sigma_z_match_(
34  iConfig.getUntrackedParameter<double>("sigma_z_match", 3.0)),
35  abs_z_match_(
36  iConfig.getUntrackedParameter<double>("abs_z_match", 0.1)),
37  root_folder_(
38  iConfig.getUntrackedParameter<std::string>("root_folder",
39  "Validation/Vertices")),
40  vecPileupSummaryInfoToken_(consumes<std::vector<PileupSummaryInfo> >(
41  edm::InputTag(std::string("addPileupInfo")))),
42  recoTrackCollectionToken_(consumes<reco::TrackCollection>(
43  iConfig.getUntrackedParameter<edm::InputTag>("recoTrackProducer"))),
44  edmView_recoTrack_Token_(consumes<edm::View<reco::Track> >(
45  iConfig.getUntrackedParameter<edm::InputTag>("recoTrackProducer"))),
46  trackingParticleCollectionToken_(consumes<TrackingParticleCollection>(
47  iConfig.getUntrackedParameter<edm::InputTag>("trackingParticleCollection"))),
48  trackingVertexCollectionToken_(consumes<TrackingVertexCollection>(
49  iConfig.getUntrackedParameter<edm::InputTag>("trackingVertexCollection"))),
50  simToRecoAssociationToken_(consumes<reco::SimToRecoCollection>(
51  iConfig.getUntrackedParameter<edm::InputTag>("trackAssociatorMap"))),
52  recoToSimAssociationToken_(consumes<reco::RecoToSimCollection>(
53  iConfig.getUntrackedParameter<edm::InputTag>("trackAssociatorMap"))),
54  vertexAssociatorToken_(consumes<reco::VertexToTrackingVertexAssociator>(
55  iConfig.getUntrackedParameter<edm::InputTag>("vertexAssociator"))) {
56  reco_vertex_collections_ = iConfig.getParameter<std::vector<edm::InputTag> >(
57  "vertexRecoCollections");
58  for (auto const& l : reco_vertex_collections_) {
59  reco_vertex_collection_tokens_.push_back(
60  edm::EDGetTokenT<edm::View<reco::Vertex>>(
61  consumes<edm::View<reco::Vertex>>(l)));
62  }
63 }
64 
65 PrimaryVertexAnalyzer4PUSlimmed::~PrimaryVertexAnalyzer4PUSlimmed() {}
66 
67 //
68 // member functions
69 //
70 void PrimaryVertexAnalyzer4PUSlimmed::bookHistograms(
71  DQMStore::IBooker& i, edm::Run const& iRun, edm::EventSetup const& iSetup) {
72  // TODO(rovere) make this booking method shorter and smarter,
73  // factorizing similar histograms with different prefix in a single
74  // method call.
75  float log_bins[31] = {
76  0.0, 0.0002, 0.0004, 0.0006, 0.0008, 0.001, 0.002,
77  0.004, 0.006, 0.008, 0.01, 0.02,
78  0.04, 0.06, 0.08, 0.1, 0.2,
79  0.4, 0.6, 0.8, 1.0, 2.0,
80  4.0, 6.0, 8.0, 10.0, 20.0,
81  40.0, 60.0, 80.0, 100.0
82  };
83  float log_mergez_bins[18] = {
84  0.0, 0.0025, 0.005, 0.0075, 0.01, 0.025, 0.05, 0.075, 0.1,
85  0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0
86  };
87  float log_pt2_bins[16] = {
88  0.0, 0.1, 0.5,
89  1.0, 2.0, 5.0,
90  10.0, 20.0, 50.0,
91  100.0, 200.0, 500.0,
92  1000.0, 2000.0, 5000.0,10000.0
93  };
94  float log_ntrk_bins[25] = {
95  0., 2.0, 4.0, 6.0, 8.0, 10.,
96  12.0, 14.0, 16.0, 18.0, 22.0,
97  26.0, 30.0, 35.0, 40.0,
98  45.0, 50.0, 55.0, 60.0, 70.0,
99  80.0, 90.0, 100.0, 150.0, 200.0
100  };
101  // TODO(rovere) Possibly change or add the main DQMStore booking
102  // interface to allow booking a TProfile with variable bin-width
103  // using an array of floats, as done for the TH1F case, not of
104  // doubles.
105  double log_pt2_bins_double[16] = {
106  0.0, 0.1, 0.5,
107  1.0, 2.0, 5.0,
108  10.0, 20.0, 50.0,
109  100.0, 200.0, 500.0,
110  1000.0, 2000.0, 5000.0,10000.0
111  };
112 
113  i.setCurrentFolder(root_folder_);
114  mes_["root_folder"]["GenVtx_vs_BX"] =
115  i.book2D("GenVtx_vs_BX", "GenVtx_vs_BX", 16, -12.5, 3.5, 200, 0., 200.);
116  // Generated Primary Vertex Plots
117  mes_["root_folder"]["GenPV_X"] =
118  i.book1D("GenPV_X", "GeneratedPV_X", 120, -0.6, 0.6);
119  mes_["root_folder"]["GenPV_Y"] =
120  i.book1D("GenPV_Y", "GeneratedPV_Y", 120, -0.6, 0.6);
121  mes_["root_folder"]["GenPV_Z"] =
122  i.book1D("GenPV_Z", "GeneratedPV_Z", 120, -60., 60.);
123  mes_["root_folder"]["GenPV_R"] =
124  i.book1D("GenPV_R", "GeneratedPV_R", 120, 0, 0.6);
125  mes_["root_folder"]["GenPV_Pt2"] =
126  i.book1D("GenPV_Pt2", "GeneratedPV_Sum-pt2", 15, &log_pt2_bins[0]);
127  mes_["root_folder"]["GenPV_NumTracks"] =
128  i.book1D("GenPV_NumTracks", "GeneratedPV_NumTracks", 24, &log_ntrk_bins[0]);
129  mes_["root_folder"]["GenPV_ClosestDistanceZ"] =
130  i.book1D("GenPV_ClosestDistanceZ", "GeneratedPV_ClosestDistanceZ", 30,
131  &log_bins[0]);
132 
133  // All Generated Vertices, used for efficiency plots
134  mes_["root_folder"]["GenAllV_NumVertices"] = i.book1D(
135  "GenAllV_NumVertices", "GeneratedAllV_NumVertices", 100, 0., 200.);
136  mes_["root_folder"]["GenAllV_X"] =
137  i.book1D("GenAllV_X", "GeneratedAllV_X", 120, -0.6, 0.6);
138  mes_["root_folder"]["GenAllV_Y"] =
139  i.book1D("GenAllV_Y", "GeneratedAllV_Y", 120, -0.6, 0.6);
140  mes_["root_folder"]["GenAllV_Z"] =
141  i.book1D("GenAllV_Z", "GeneratedAllV_Z", 120, -60, 60);
142  mes_["root_folder"]["GenAllV_R"] =
143  i.book1D("GenAllV_R", "GeneratedAllV_R", 120, 0, 0.6);
144  mes_["root_folder"]["GenAllV_Pt2"] =
145  i.book1D("GenAllV_Pt2", "GeneratedAllV_Sum-pt2", 15, &log_pt2_bins[0]);
146  mes_["root_folder"]["GenAllV_NumTracks"] =
147  i.book1D("GenAllV_NumTracks", "GeneratedAllV_NumTracks", 24, &log_ntrk_bins[0]);
148  mes_["root_folder"]["GenAllV_ClosestDistanceZ"] =
149  i.book1D("GenAllV_ClosestDistanceZ", "GeneratedAllV_ClosestDistanceZ", 30,
150  &log_bins[0]);
151  mes_["root_folder"]["GenAllV_PairDistanceZ"] =
152  i.book1D("GenAllV_PairDistanceZ", "GeneratedAllV_PairDistanceZ",
153  1000, 0, 20);
154  mes_["root_folder"]["SignalIsHighestPt2"] =
155  i.book1D("SignalIsHighestPt2", "SignalIsHighestPt2", 2, -0.5, 1.5);
156 
157  for (auto const& l : reco_vertex_collections_) {
158  std::string label = l.label();
159  std::string current_folder = root_folder_ + "/" + label;
160  i.setCurrentFolder(current_folder);
161 
162  mes_[label]["RecoVtx_vs_GenVtx"] = i.bookProfile(
163  "RecoVtx_vs_GenVtx", "RecoVtx_vs_GenVtx", 125, 0., 250., 250, 0., 250.);
164  mes_[label]["MatchedRecoVtx_vs_GenVtx"] =
165  i.bookProfile("MatchedRecoVtx_vs_GenVtx", "MatchedRecoVtx_vs_GenVtx",
166  125, 0., 250., 250, 0., 250.);
167  mes_[label]["KindOfSignalPV"] =
168  i.book1D("KindOfSignalPV", "KindOfSignalPV", 9, -0.5, 8.5);
169  mes_[label]["KindOfSignalPV"]->getTH1()->GetXaxis()->SetBinLabel(1, "!Highest!Assoc2Any");
170  mes_[label]["KindOfSignalPV"]->getTH1()->GetXaxis()->SetBinLabel(2, "Highest!Assoc2Any");
171  mes_[label]["KindOfSignalPV"]->getTH1()->GetXaxis()->SetBinLabel(3, "!HighestAssoc2First");
172  mes_[label]["KindOfSignalPV"]->getTH1()->GetXaxis()->SetBinLabel(4, "HighestAssoc2First");
173  mes_[label]["KindOfSignalPV"]->getTH1()->GetXaxis()->SetBinLabel(5, "!HighestAssoc2!First");
174  mes_[label]["KindOfSignalPV"]->getTH1()->GetXaxis()->SetBinLabel(6, "HighestAssoc2!First");
175  mes_[label]["KindOfSignalPV"]->getTH1()->GetXaxis()->SetBinLabel(7, "!HighestAssoc2First");
176  mes_[label]["KindOfSignalPV"]->getTH1()->GetXaxis()->SetBinLabel(8, "HighestAssoc2First");
177  mes_[label]["MisTagRate"] =
178  i.book1D("MisTagRate", "MisTagRate", 2, -0.5, 1.5);
179  mes_[label]["MisTagRate_vs_PU"] =
180  i.bookProfile("MisTagRate_vs_PU", "MisTagRate_vs_PU", 125, 0., 250.,
181  2, 0., 1.);
182  mes_[label]["MisTagRate_vs_sum-pt2"] =
183  i.bookProfile("MisTagRate_vs_sum-pt2", "MisTagRate_vs_sum-pt2",
184  15, &log_pt2_bins_double[0], 2, 0., 1.);
185  mes_[label]["MisTagRate_vs_Z"] =
186  i.bookProfile("MisTagRate_vs_Z", "MisTagRate_vs_Z",
187  120, -60., 60., 2, 0., 1.);
188  mes_[label]["MisTagRate_vs_R"] =
189  i.bookProfile("MisTagRate_vs_R", "MisTagRate_vs_R",
190  120, 0., 0.6, 2, 0., 1.);
191  mes_[label]["MisTagRate_vs_NumTracks"] =
192  i.bookProfile("MisTagRate_vs_NumTracks", "MisTagRate_vs_NumTracks",
193  100, 0., 200, 2, 0., 1.);
194  mes_[label]["MisTagRateSignalIsHighest"] =
195  i.book1D("MisTagRateSignalIsHighest",
196  "MisTagRateSignalIsHighest", 2, -0.5, 1.5);
197  mes_[label]["MisTagRateSignalIsHighest_vs_PU"] =
198  i.bookProfile("MisTagRateSignalIsHighest_vs_PU",
199  "MisTagRateSignalIsHighest_vs_PU", 125, 0., 250.,
200  2, 0., 1.);
201  mes_[label]["MisTagRateSignalIsHighest_vs_sum-pt2"] =
202  i.bookProfile("MisTagRateSignalIsHighest_vs_sum-pt2",
203  "MisTagRateSignalIsHighest_vs_sum-pt2",
204  15, &log_pt2_bins_double[0], 2, 0., 1.);
205  mes_[label]["MisTagRateSignalIsHighest_vs_Z"] =
206  i.bookProfile("MisTagRateSignalIsHighest_vs_Z",
207  "MisTagRateSignalIsHighest_vs_Z",
208  120, -60., 60., 2, 0., 1.);
209  mes_[label]["MisTagRateSignalIsHighest_vs_R"] =
210  i.bookProfile("MisTagRateSignalIsHighest_vs_R",
211  "MisTagRateSignalIsHighest_vs_R",
212  120, 0., 0.6, 2, 0., 1.);
213  mes_[label]["MisTagRateSignalIsHighest_vs_NumTracks"] =
214  i.bookProfile("MisTagRateSignalIsHighest_vs_NumTracks",
215  "MisTagRateSignalIsHighest_vs_NumTracks",
216  100, 0., 200, 2, 0., 1.);
217  mes_[label]["MisTagRateSignalIsNotHighest"] =
218  i.book1D("MisTagRateSignalIsNotHighest",
219  "MisTagRateSignalIsNotHighest", 2, -0.5, 1.5);
220  mes_[label]["MisTagRateSignalIsNotHighest_vs_PU"] =
221  i.bookProfile("MisTagRateSignalIsNotHighest_vs_PU",
222  "MisTagRateSignalIsNotHighest_vs_PU", 125, 0., 250.,
223  2, 0., 1.);
224  mes_[label]["MisTagRateSignalIsNotHighest_vs_sum-pt2"] =
225  i.bookProfile("MisTagRateSignalIsNotHighest_vs_sum-pt2",
226  "MisTagRateSignalIsNotHighest_vs_sum-pt2",
227  15, &log_pt2_bins_double[0], 2, 0., 1.);
228  mes_[label]["MisTagRateSignalIsNotHighest_vs_Z"] =
229  i.bookProfile("MisTagRateSignalIsNotHighest_vs_Z",
230  "MisTagRateSignalIsNotHighest_vs_Z",
231  120, -60., 60., 2, 0., 1.);
232  mes_[label]["MisTagRateSignalIsNotHighest_vs_R"] =
233  i.bookProfile("MisTagRateSignalIsNotHighest_vs_R",
234  "MisTagRateSignalIsNotHighest_vs_R",
235  120, 0., 0.6, 2, 0., 1.);
236  mes_[label]["MisTagRateSignalIsNotHighest_vs_NumTracks"] =
237  i.bookProfile("MisTagRateSignalIsNotHighest_vs_NumTracks",
238  "MisTagRateSignalIsNotHighest_vs_NumTracks",
239  100, 0., 200, 2, 0., 1.);
240  mes_[label]["TruePVLocationIndex"] =
241  i.book1D("TruePVLocationIndex",
242  "TruePVLocationIndexInRecoVertexCollection", 12, -1.5, 10.5);
243  mes_[label]["TruePVLocationIndexCumulative"] =
244  i.book1D("TruePVLocationIndexCumulative",
245  "TruePVLocationIndexInRecoVertexCollectionCumulative",
246  3, -1.5, 1.5);
247  mes_[label]["TruePVLocationIndexSignalIsHighest"] =
248  i.book1D("TruePVLocationIndexSignalIsHighest",
249  "TruePVLocationIndexSignalIsHighestInRecoVertexCollection",
250  12, -1.5, 10.5);
251  mes_[label]["TruePVLocationIndexSignalIsNotHighest"] =
252  i.book1D("TruePVLocationIndexSignalIsNotHighest",
253  "TruePVLocationIndexSignalIsNotHighestInRecoVertexCollection",
254  12, -1.5, 10.5);
255  // All Generated Vertices. Used for Efficiency plots We kind of
256  // duplicate plots here in case we want to perform more detailed
257  // studies on a selection of generated vertices, not on all of them.
258  mes_[label]["GenAllAssoc2Reco_NumVertices"] =
259  i.book1D("GenAllAssoc2Reco_NumVertices",
260  "GeneratedAllAssoc2Reco_NumVertices", 100, 0., 200.);
261  mes_[label]["GenAllAssoc2Reco_X"] = i.book1D(
262  "GenAllAssoc2Reco_X", "GeneratedAllAssoc2Reco_X", 120, -0.6, 0.6);
263  mes_[label]["GenAllAssoc2Reco_Y"] = i.book1D(
264  "GenAllAssoc2Reco_Y", "GeneratedAllAssoc2Reco_Y", 120, -0.6, 0.6);
265  mes_[label]["GenAllAssoc2Reco_Z"] = i.book1D(
266  "GenAllAssoc2Reco_Z", "GeneratedAllAssoc2Reco_Z", 120, -60, 60);
267  mes_[label]["GenAllAssoc2Reco_R"] =
268  i.book1D("GenAllAssoc2Reco_R", "GeneratedAllAssoc2Reco_R", 120, 0, 0.6);
269  mes_[label]["GenAllAssoc2Reco_Pt2"] =
270  i.book1D("GenAllAssoc2Reco_Pt2", "GeneratedAllAssoc2Reco_Sum-pt2", 15,
271  &log_pt2_bins[0]);
272  mes_[label]["GenAllAssoc2Reco_NumTracks"] =
273  i.book1D("GenAllAssoc2Reco_NumTracks",
274  "GeneratedAllAssoc2Reco_NumTracks", 24, &log_ntrk_bins[0]);
275  mes_[label]["GenAllAssoc2Reco_ClosestDistanceZ"] =
276  i.book1D("GenAllAssoc2Reco_ClosestDistanceZ",
277  "GeneratedAllAssoc2Reco_ClosestDistanceZ", 30, &log_bins[0]);
278 
279  // All Generated Vertices Matched to a Reconstructed vertex. Used
280  // for Efficiency plots
281  mes_[label]["GenAllAssoc2RecoMatched_NumVertices"] =
282  i.book1D("GenAllAssoc2RecoMatched_NumVertices",
283  "GeneratedAllAssoc2RecoMatched_NumVertices", 100, 0., 200.);
284  mes_[label]["GenAllAssoc2RecoMatched_X"] =
285  i.book1D("GenAllAssoc2RecoMatched_X", "GeneratedAllAssoc2RecoMatched_X",
286  120, -0.6, 0.6);
287  mes_[label]["GenAllAssoc2RecoMatched_Y"] =
288  i.book1D("GenAllAssoc2RecoMatched_Y", "GeneratedAllAssoc2RecoMatched_Y",
289  120, -0.6, 0.6);
290  mes_[label]["GenAllAssoc2RecoMatched_Z"] =
291  i.book1D("GenAllAssoc2RecoMatched_Z", "GeneratedAllAssoc2RecoMatched_Z",
292  120, -60, 60);
293  mes_[label]["GenAllAssoc2RecoMatched_R"] =
294  i.book1D("GenAllAssoc2RecoMatched_R", "GeneratedAllAssoc2RecoMatched_R",
295  120, 0, 0.6);
296  mes_[label]["GenAllAssoc2RecoMatched_Pt2"] =
297  i.book1D("GenAllAssoc2RecoMatched_Pt2",
298  "GeneratedAllAssoc2RecoMatched_Sum-pt2", 15, &log_pt2_bins[0]);
299  mes_[label]["GenAllAssoc2RecoMatched_NumTracks"] =
300  i.book1D("GenAllAssoc2RecoMatched_NumTracks",
301  "GeneratedAllAssoc2RecoMatched_NumTracks", 24, &log_ntrk_bins[0]);
302  mes_[label]["GenAllAssoc2RecoMatched_ClosestDistanceZ"] = i.book1D(
303  "GenAllAssoc2RecoMatched_ClosestDistanceZ",
304  "GeneratedAllAssoc2RecoMatched_ClosestDistanceZ", 30, &log_bins[0]);
305 
306  // All Generated Vertices Multi-Matched to a Reconstructed vertex. Used
307  // for Duplicate rate plots
308  mes_[label]["GenAllAssoc2RecoMultiMatched_NumVertices"] = i.book1D(
309  "GenAllAssoc2RecoMultiMatched_NumVertices",
310  "GeneratedAllAssoc2RecoMultiMatched_NumVertices", 100, 0., 200.);
311  mes_[label]["GenAllAssoc2RecoMultiMatched_X"] =
312  i.book1D("GenAllAssoc2RecoMultiMatched_X",
313  "GeneratedAllAssoc2RecoMultiMatched_X", 120, -0.6, 0.6);
314  mes_[label]["GenAllAssoc2RecoMultiMatched_Y"] =
315  i.book1D("GenAllAssoc2RecoMultiMatched_Y",
316  "GeneratedAllAssoc2RecoMultiMatched_Y", 120, -0.6, 0.6);
317  mes_[label]["GenAllAssoc2RecoMultiMatched_Z"] =
318  i.book1D("GenAllAssoc2RecoMultiMatched_Z",
319  "GeneratedAllAssoc2RecoMultiMatched_Z", 120, -60, 60);
320  mes_[label]["GenAllAssoc2RecoMultiMatched_R"] =
321  i.book1D("GenAllAssoc2RecoMultiMatched_R",
322  "GeneratedAllAssoc2RecoMultiMatched_R", 120, 0, 0.6);
323  mes_[label]["GenAllAssoc2RecoMultiMatched_Pt2"] =
324  i.book1D("GenAllAssoc2RecoMultiMatched_Pt2",
325  "GeneratedAllAssoc2RecoMultiMatched_Sum-pt2",
326  15, &log_pt2_bins[0]);
327  mes_[label]["GenAllAssoc2RecoMultiMatched_NumTracks"] =
328  i.book1D("GenAllAssoc2RecoMultiMatched_NumTracks",
329  "GeneratedAllAssoc2RecoMultiMatched_NumTracks", 24, &log_ntrk_bins[0]);
330  mes_[label]["GenAllAssoc2RecoMultiMatched_ClosestDistanceZ"] = i.book1D(
331  "GenAllAssoc2RecoMultiMatched_ClosestDistanceZ",
332  "GeneratedAllAssoc2RecoMultiMatched_ClosestDistanceZ",
333  30, &log_bins[0]);
334 
335  // All Reco Vertices. Used for {Fake,Duplicate}-Rate plots
336  mes_[label]["RecoAllAssoc2Gen_NumVertices"] =
337  i.book1D("RecoAllAssoc2Gen_NumVertices",
338  "ReconstructedAllAssoc2Gen_NumVertices", 100, 0., 200.);
339  mes_[label]["RecoAllAssoc2Gen_X"] = i.book1D(
340  "RecoAllAssoc2Gen_X", "ReconstructedAllAssoc2Gen_X", 120, -0.6, 0.6);
341  mes_[label]["RecoAllAssoc2Gen_Y"] = i.book1D(
342  "RecoAllAssoc2Gen_Y", "ReconstructedAllAssoc2Gen_Y", 120, -0.6, 0.6);
343  mes_[label]["RecoAllAssoc2Gen_Z"] = i.book1D(
344  "RecoAllAssoc2Gen_Z", "ReconstructedAllAssoc2Gen_Z", 120, -60, 60);
345  mes_[label]["RecoAllAssoc2Gen_R"] = i.book1D(
346  "RecoAllAssoc2Gen_R", "ReconstructedAllAssoc2Gen_R", 120, 0, 0.6);
347  mes_[label]["RecoAllAssoc2Gen_Pt2"] =
348  i.book1D("RecoAllAssoc2Gen_Pt2", "ReconstructedAllAssoc2Gen_Sum-pt2",
349  15, &log_pt2_bins[0]);
350  mes_[label]["RecoAllAssoc2Gen_Ndof"] =
351  i.book1D("RecoAllAssoc2Gen_Ndof",
352  "ReconstructedAllAssoc2Gen_Ndof", 120, 0., 240.);
353  mes_[label]["RecoAllAssoc2Gen_NumTracks"] =
354  i.book1D("RecoAllAssoc2Gen_NumTracks",
355  "ReconstructedAllAssoc2Gen_NumTracks", 24, &log_ntrk_bins[0]);
356  mes_[label]["RecoAllAssoc2Gen_PU"] =
357  i.book1D("RecoAllAssoc2Gen_PU",
358  "ReconstructedAllAssoc2Gen_PU", 125, 0., 250.);
359  mes_[label]["RecoAllAssoc2Gen_ClosestDistanceZ"] =
360  i.book1D("RecoAllAssoc2Gen_ClosestDistanceZ",
361  "ReconstructedAllAssoc2Gen_ClosestDistanceZ",
362  30, &log_bins[0]);
363  mes_[label]["RecoAllAssoc2GenProperties"] =
364  i.book1D("RecoAllAssoc2GenProperties",
365  "ReconstructedAllAssoc2Gen_Properties", 8, -0.5, 7.5);
366  mes_[label]["RecoAllAssoc2Gen_PairDistanceZ"] =
367  i.book1D("RecoAllAssoc2Gen_PairDistanceZ",
368  "RecoAllAssoc2Gen_PairDistanceZ", 1000, 0, 20);
369 
370  // All Reconstructed Vertices Matched to a Generated vertex. Used
371  // for Fake-Rate plots
372  mes_[label]["RecoAllAssoc2GenMatched_NumVertices"] =
373  i.book1D("RecoAllAssoc2GenMatched_NumVertices",
374  "ReconstructedAllAssoc2GenMatched_NumVertices", 100, 0., 200.);
375  mes_[label]["RecoAllAssoc2GenMatched_X"] =
376  i.book1D("RecoAllAssoc2GenMatched_X",
377  "ReconstructedAllAssoc2GenMatched_X", 120, -0.6, 0.6);
378  mes_[label]["RecoAllAssoc2GenMatched_Y"] =
379  i.book1D("RecoAllAssoc2GenMatched_Y",
380  "ReconstructedAllAssoc2GenMatched_Y", 120, -0.6, 0.6);
381  mes_[label]["RecoAllAssoc2GenMatched_Z"] =
382  i.book1D("RecoAllAssoc2GenMatched_Z",
383  "ReconstructedAllAssoc2GenMatched_Z", 120, -60, 60);
384  mes_[label]["RecoAllAssoc2GenMatched_R"] =
385  i.book1D("RecoAllAssoc2GenMatched_R",
386  "ReconstructedAllAssoc2GenMatched_R", 120, 0, 0.6);
387  mes_[label]["RecoAllAssoc2GenMatched_Pt2"] =
388  i.book1D("RecoAllAssoc2GenMatched_Pt2",
389  "ReconstructedAllAssoc2GenMatched_Sum-pt2",
390  15, &log_pt2_bins[0]);
391  mes_[label]["RecoAllAssoc2GenMatched_Ndof"] =
392  i.book1D("RecoAllAssoc2GenMatched_Ndof",
393  "ReconstructedAllAssoc2GenMatched_Ndof", 120, 0., 240.);
394  mes_[label]["RecoAllAssoc2GenMatched_NumTracks"] =
395  i.book1D("RecoAllAssoc2GenMatched_NumTracks",
396  "ReconstructedAllAssoc2GenMatched_NumTracks", 24, &log_ntrk_bins[0]);
397  mes_[label]["RecoAllAssoc2GenMatched_PU"] =
398  i.book1D("RecoAllAssoc2GenMatched_PU",
399  "ReconstructedAllAssoc2GenMatched_PU", 125, 0., 250.);
400  mes_[label]["RecoAllAssoc2GenMatched_ClosestDistanceZ"] = i.book1D(
401  "RecoAllAssoc2GenMatched_ClosestDistanceZ",
402  "ReconstructedAllAssoc2GenMatched_ClosestDistanceZ", 30, &log_bins[0]);
403 
404  // All Reconstructed Vertices Multi-Matched to a Generated vertex. Used
405  // for Merge-Rate plots
406  mes_[label]["RecoAllAssoc2GenMultiMatched_NumVertices"] = i.book1D(
407  "RecoAllAssoc2GenMultiMatched_NumVertices",
408  "ReconstructedAllAssoc2GenMultiMatched_NumVertices", 100, 0., 200.);
409  mes_[label]["RecoAllAssoc2GenMultiMatched_X"] =
410  i.book1D("RecoAllAssoc2GenMultiMatched_X",
411  "ReconstructedAllAssoc2GenMultiMatched_X", 120, -0.6, 0.6);
412  mes_[label]["RecoAllAssoc2GenMultiMatched_Y"] =
413  i.book1D("RecoAllAssoc2GenMultiMatched_Y",
414  "ReconstructedAllAssoc2GenMultiMatched_Y", 120, -0.6, 0.6);
415  mes_[label]["RecoAllAssoc2GenMultiMatched_Z"] =
416  i.book1D("RecoAllAssoc2GenMultiMatched_Z",
417  "ReconstructedAllAssoc2GenMultiMatched_Z", 120, -60, 60);
418  mes_[label]["RecoAllAssoc2GenMultiMatched_R"] =
419  i.book1D("RecoAllAssoc2GenMultiMatched_R",
420  "ReconstructedAllAssoc2GenMultiMatched_R", 120, 0, 0.6);
421  mes_[label]["RecoAllAssoc2GenMultiMatched_Pt2"] = i.book1D(
422  "RecoAllAssoc2GenMultiMatched_Pt2",
423  "ReconstructedAllAssoc2GenMultiMatched_Sum-pt2", 15, &log_pt2_bins[0]);
424  mes_[label]["RecoAllAssoc2GenMultiMatched_NumTracks"] = i.book1D(
425  "RecoAllAssoc2GenMultiMatched_NumTracks",
426  "ReconstructedAllAssoc2GenMultiMatched_NumTracks", 24, &log_ntrk_bins[0]);
427  mes_[label]["RecoAllAssoc2GenMultiMatched_PU"] =
428  i.book1D("RecoAllAssoc2GenMultiMatched_PU",
429  "ReconstructedAllAssoc2GenMultiMatched_PU", 125, 0., 250.);
430  mes_[label]["RecoAllAssoc2GenMultiMatched_ClosestDistanceZ"] =
431  i.book1D("RecoAllAssoc2GenMultiMatched_ClosestDistanceZ",
432  "ReconstructedAllAssoc2GenMultiMatched_ClosestDistanceZ",
433  17, &log_mergez_bins[0]);
434 
435  // All Reconstructed Vertices Matched to a Multi-Matched Gen
436  // Vertex. Used for Duplicate rate plots done w.r.t. Reco
437  // Quantities. We basically want to ask how many times a RecoVTX
438  // has been reconstructed and associated to a SimulatedVTX that
439  // has been linked to at least another RecoVTX. In this sense this
440  // RecoVTX is a duplicate of the same, real GenVTX.
441  mes_[label]["RecoAllAssoc2MultiMatchedGen_NumVertices"] = i.book1D(
442  "RecoAllAssoc2MultiMatchedGen_NumVertices",
443  "RecoAllAssoc2MultiMatchedGen_NumVertices", 100, 0., 200.);
444  mes_[label]["RecoAllAssoc2MultiMatchedGen_X"] =
445  i.book1D("RecoAllAssoc2MultiMatchedGen_X",
446  "RecoAllAssoc2MultiMatchedGen_X", 120, -0.6, 0.6);
447  mes_[label]["RecoAllAssoc2MultiMatchedGen_Y"] =
448  i.book1D("RecoAllAssoc2MultiMatchedGen_Y",
449  "RecoAllAssoc2MultiMatchedGen_Y", 120, -0.6, 0.6);
450  mes_[label]["RecoAllAssoc2MultiMatchedGen_Z"] =
451  i.book1D("RecoAllAssoc2MultiMatchedGen_Z",
452  "RecoAllAssoc2MultiMatchedGen_Z", 120, -60, 60);
453  mes_[label]["RecoAllAssoc2MultiMatchedGen_R"] =
454  i.book1D("RecoAllAssoc2MultiMatchedGen_R",
455  "RecoAllAssoc2MultiMatchedGen_R", 120, 0, 0.6);
456  mes_[label]["RecoAllAssoc2MultiMatchedGen_Pt2"] =
457  i.book1D("RecoAllAssoc2MultiMatchedGen_Pt2",
458  "RecoAllAssoc2MultiMatchedGen_Sum-pt2", 15, &log_pt2_bins[0]);
459  mes_[label]["RecoAllAssoc2MultiMatchedGen_NumTracks"] =
460  i.book1D("RecoAllAssoc2MultiMatchedGen_NumTracks",
461  "RecoAllAssoc2MultiMatchedGen_NumTracks", 24, &log_ntrk_bins[0]);
462  mes_[label]["RecoAllAssoc2MultiMatchedGen_PU"] =
463  i.book1D("RecoAllAssoc2MultiMatchedGen_PU",
464  "RecoAllAssoc2MultiMatchedGen_PU", 125, 0., 250.);
465  mes_[label]["RecoAllAssoc2MultiMatchedGen_ClosestDistanceZ"] = i.book1D(
466  "RecoAllAssoc2MultiMatchedGen_ClosestDistanceZ",
467  "RecoAllAssoc2MultiMatchedGen_ClosestDistanceZ", 30, &log_bins[0]);
468  mes_[label]["RecoAllAssoc2GenSimForMerge_ClosestDistanceZ"] = i.book1D(
469  "RecoAllAssoc2GenSimForMerge_ClosestDistanceZ",
470  "RecoAllAssoc2GenSimForMerge_ClosestDistanceZ",
471  17, &log_mergez_bins[0]);
472 
473 
474  // Resolution and pull histograms
475  auto book1d = [&](const char *name, int bins, double min, double max) {
476  mes_[label][name] = i.book1D(name, name, bins, min, max);
477  };
478  auto book1dlogx = [&](const char *name, int bins, float *xbinedges) {
479  mes_[label][name] = i.book1D(name, name, bins, xbinedges);
480  };
481  auto book2d = [&](const char *name,
482  int xbins, double xmin, double xmax,
483  int ybins, double ymin, double ymax) {
484  mes_[label][name] = i.book2D(name, name, xbins,xmin,xmax, ybins,ymin,ymax);
485  };
486  auto book2dlogx = [&](const char *name,
487  int xbins, float *xbinedges,
488  int ybins, double ymin, double ymax) {
489  auto me = i.book2D(name, name, xbins,xbinedges[0],xbinedges[xbins], ybins,ymin,ymax);
490  me->getTH2F()->GetXaxis()->Set(xbins, xbinedges);
491  mes_[label][name] = me;
492  };
493 
494  const double resolx = 0.1;
495  const double resoly = 0.1;
496  const double resolz = 0.1;
497  const double resolpt2 = 10;
498 
499  // Non-merged vertices
500  book1d("RecoAllAssoc2GenMatched_ResolX", 100,-resolx,resolx);
501  book1d("RecoAllAssoc2GenMatched_ResolY", 100,-resoly,resoly);
502  book1d("RecoAllAssoc2GenMatched_ResolZ", 100,-resolz,resolz);
503  book1d("RecoAllAssoc2GenMatched_ResolPt2", 100,-resolpt2,resolpt2);
504 
505  book2d("RecoAllAssoc2GenMatched_ResolX_vs_PU", 125,0.,250., 100,-resolx,resolx);
506  book2d("RecoAllAssoc2GenMatched_ResolY_vs_PU", 125,0.,250., 100,-resoly,resoly);
507  book2d("RecoAllAssoc2GenMatched_ResolZ_vs_PU", 125,0.,250., 100,-resolz,resolz);
508  book2d("RecoAllAssoc2GenMatched_ResolPt2_vs_PU", 125,0.,250., 100,-resolpt2,resolpt2);
509 
510  book2dlogx("RecoAllAssoc2GenMatched_ResolX_vs_NumTracks", 24,&log_ntrk_bins[0], 100,-resolx,resolx);
511  book2dlogx("RecoAllAssoc2GenMatched_ResolY_vs_NumTracks", 24,&log_ntrk_bins[0], 100,-resoly,resoly);
512  book2dlogx("RecoAllAssoc2GenMatched_ResolZ_vs_NumTracks", 24,&log_ntrk_bins[0], 100,-resolz,resolz);
513  book2dlogx("RecoAllAssoc2GenMatched_ResolPt2_vs_NumTracks", 24,&log_ntrk_bins[0], 100,-resolpt2,resolpt2);
514 
515  book1d("RecoAllAssoc2GenMatched_PullX", 250,-25,25);
516  book1d("RecoAllAssoc2GenMatched_PullY", 250,-25,25);
517  book1d("RecoAllAssoc2GenMatched_PullZ", 250,-25,25);
518 
519  // Merged vertices
520  book1d("RecoAllAssoc2GenMatchedMerged_ResolX", 100,-resolx,resolx);
521  book1d("RecoAllAssoc2GenMatchedMerged_ResolY", 100,-resoly,resoly);
522  book1d("RecoAllAssoc2GenMatchedMerged_ResolZ", 100,-resolz,resolz);
523  book1d("RecoAllAssoc2GenMatchedMerged_ResolPt2", 100,-resolpt2,resolpt2);
524 
525  book2d("RecoAllAssoc2GenMatchedMerged_ResolX_vs_PU", 125,0.,250., 100,-resolx,resolx);
526  book2d("RecoAllAssoc2GenMatchedMerged_ResolY_vs_PU", 125,0.,250., 100,-resoly,resoly);
527  book2d("RecoAllAssoc2GenMatchedMerged_ResolZ_vs_PU", 125,0.,250., 100,-resolz,resolz);
528  book2d("RecoAllAssoc2GenMatchedMerged_ResolPt2_vs_PU", 125,0.,250., 100,-resolpt2,resolpt2);
529 
530  book2dlogx("RecoAllAssoc2GenMatchedMerged_ResolX_vs_NumTracks", 24,&log_ntrk_bins[0], 100,-resolx,resolx);
531  book2dlogx("RecoAllAssoc2GenMatchedMerged_ResolY_vs_NumTracks", 24,&log_ntrk_bins[0], 100,-resoly,resoly);
532  book2dlogx("RecoAllAssoc2GenMatchedMerged_ResolZ_vs_NumTracks", 24,&log_ntrk_bins[0], 100,-resolz,resolz);
533  book2dlogx("RecoAllAssoc2GenMatchedMerged_ResolPt2_vs_NumTracks", 24,&log_ntrk_bins[0], 100,-resolpt2,resolpt2);
534 
535  book1d("RecoAllAssoc2GenMatchedMerged_PullX", 250,-25,25);
536  book1d("RecoAllAssoc2GenMatchedMerged_PullY", 250,-25,25);
537  book1d("RecoAllAssoc2GenMatchedMerged_PullZ", 250,-25,25);
538 
539 
540  // Purity histograms
541  // Reco PV (vtx0) matched to hard-scatter gen vertex
542  book1d("RecoPVAssoc2GenPVMatched_Purity", 50, 0, 1);
543  book1d("RecoPVAssoc2GenPVMatched_Missing", 50, 0, 1);
544  book2d("RecoPVAssoc2GenPVMatched_Purity_vs_Index", 100,0,100, 50,0,1);
545 
546  // RECO PV (vtx0) not matched to hard-scatter gen vertex
547  book1d("RecoPVAssoc2GenPVNotMatched_Purity", 50, 0, 1);
548  book1d("RecoPVAssoc2GenPVNotMatched_Missing", 50, 0, 1);
549  book2d("RecoPVAssoc2GenPVNotMatched_Purity_vs_Index", 100,0,100, 50,0,1);
550 
551  // Purity vs. fake rate
552  book1d("RecoAllAssoc2Gen_Purity", 50, 0, 1); // denominator
553  book1d("RecoAllAssoc2GenMatched_Purity", 50, 0, 1); // 1-numerator
554 
555  // Vertex sum(pt2)
556  // The first two are orthogonal (i.e. their sum includes all reco vertices)
557  book1dlogx("RecoAssoc2GenPVMatched_Pt2", 15, &log_pt2_bins[0]);
558  book1dlogx("RecoAssoc2GenPVNotMatched_Pt2", 15, &log_pt2_bins[0]);
559 
560  book1dlogx("RecoAssoc2GenPVMatchedNotHighest_Pt2", 15, &log_pt2_bins[0]);
561  book1dlogx("RecoAssoc2GenPVNotMatched_GenPVTracksRemoved_Pt2", 15, &log_pt2_bins[0]);
562 
563  // Shared tracks
564  book1d("RecoAllAssoc2GenSingleMatched_SharedTrackFractionReco", 50, 0, 1);
565  book1d("RecoAllAssoc2GenMultiMatched_SharedTrackFractionReco", 50, 0, 1);
566  book1d("RecoAllAssoc2GenSingleMatched_SharedTrackFractionRecoMatched", 50, 0, 1);
567  book1d("RecoAllAssoc2GenMultiMatched_SharedTrackFractionRecoMatched", 50, 0, 1);
568 
569  book1d("RecoAllAssoc2GenSingleMatched_SharedTrackFractionSim", 50, 0, 1);
570  book1d("RecoAllAssoc2GenMultiMatched_SharedTrackFractionSim", 50, 0, 1);
571  book1d("RecoAllAssoc2GenSingleMatched_SharedTrackFractionSimMatched", 50, 0, 1);
572  book1d("RecoAllAssoc2GenMultiMatched_SharedTrackFractionSimMatched", 50, 0, 1);
573  }
574 }
575 
576 void PrimaryVertexAnalyzer4PUSlimmed::fillGenericGenVertexHistograms(
577  const simPrimaryVertex& v) {
578  if (v.eventId.event() == 0) {
579  mes_["root_folder"]["GenPV_X"]->Fill(v.x);
580  mes_["root_folder"]["GenPV_Y"]->Fill(v.y);
581  mes_["root_folder"]["GenPV_Z"]->Fill(v.z);
582  mes_["root_folder"]["GenPV_R"]->Fill(v.r);
583  mes_["root_folder"]["GenPV_Pt2"]->Fill(v.ptsq);
584  mes_["root_folder"]["GenPV_NumTracks"]->Fill(v.nGenTrk);
585  if (v.closest_vertex_distance_z > 0.)
586  mes_["root_folder"]["GenPV_ClosestDistanceZ"]
587  ->Fill(v.closest_vertex_distance_z);
588  }
589  mes_["root_folder"]["GenAllV_X"]->Fill(v.x);
590  mes_["root_folder"]["GenAllV_Y"]->Fill(v.y);
591  mes_["root_folder"]["GenAllV_Z"]->Fill(v.z);
592  mes_["root_folder"]["GenAllV_R"]->Fill(v.r);
593  mes_["root_folder"]["GenAllV_Pt2"]->Fill(v.ptsq);
594  mes_["root_folder"]["GenAllV_NumTracks"]->Fill(v.nGenTrk);
595  if (v.closest_vertex_distance_z > 0.)
596  mes_["root_folder"]["GenAllV_ClosestDistanceZ"]
597  ->Fill(v.closest_vertex_distance_z);
598 }
599 
600 void PrimaryVertexAnalyzer4PUSlimmed::fillRecoAssociatedGenVertexHistograms(
601  const std::string& label,
602  const PrimaryVertexAnalyzer4PUSlimmed::simPrimaryVertex& v) {
603  mes_[label]["GenAllAssoc2Reco_X"]->Fill(v.x);
604  mes_[label]["GenAllAssoc2Reco_Y"]->Fill(v.y);
605  mes_[label]["GenAllAssoc2Reco_Z"]->Fill(v.z);
606  mes_[label]["GenAllAssoc2Reco_R"]->Fill(v.r);
607  mes_[label]["GenAllAssoc2Reco_Pt2"]->Fill(v.ptsq);
608  mes_[label]["GenAllAssoc2Reco_NumTracks"]->Fill(v.nGenTrk);
609  if (v.closest_vertex_distance_z > 0.)
610  mes_[label]["GenAllAssoc2Reco_ClosestDistanceZ"]
611  ->Fill(v.closest_vertex_distance_z);
612  if (v.rec_vertices.size()) {
613  mes_[label]["GenAllAssoc2RecoMatched_X"]->Fill(v.x);
614  mes_[label]["GenAllAssoc2RecoMatched_Y"]->Fill(v.y);
615  mes_[label]["GenAllAssoc2RecoMatched_Z"]->Fill(v.z);
616  mes_[label]["GenAllAssoc2RecoMatched_R"]->Fill(v.r);
617  mes_[label]["GenAllAssoc2RecoMatched_Pt2"]->Fill(v.ptsq);
618  mes_[label]["GenAllAssoc2RecoMatched_NumTracks"]->Fill(v.nGenTrk);
619  if (v.closest_vertex_distance_z > 0.)
620  mes_[label]["GenAllAssoc2RecoMatched_ClosestDistanceZ"]
621  ->Fill(v.closest_vertex_distance_z);
622  }
623  if (v.rec_vertices.size() > 1) {
624  mes_[label]["GenAllAssoc2RecoMultiMatched_X"]->Fill(v.x);
625  mes_[label]["GenAllAssoc2RecoMultiMatched_Y"]->Fill(v.y);
626  mes_[label]["GenAllAssoc2RecoMultiMatched_Z"]->Fill(v.z);
627  mes_[label]["GenAllAssoc2RecoMultiMatched_R"]->Fill(v.r);
628  mes_[label]["GenAllAssoc2RecoMultiMatched_Pt2"]->Fill(v.ptsq);
629  mes_[label]["GenAllAssoc2RecoMultiMatched_NumTracks"]->Fill(v.nGenTrk);
630  if (v.closest_vertex_distance_z > 0.)
631  mes_[label]["GenAllAssoc2RecoMultiMatched_ClosestDistanceZ"]
632  ->Fill(v.closest_vertex_distance_z);
633  }
634 }
635 
636 void PrimaryVertexAnalyzer4PUSlimmed::fillGenAssociatedRecoVertexHistograms(
637  const std::string& label,
638  int num_pileup_vertices,
639  PrimaryVertexAnalyzer4PUSlimmed::recoPrimaryVertex& v) {
640  mes_[label]["RecoAllAssoc2Gen_X"]->Fill(v.x);
641  mes_[label]["RecoAllAssoc2Gen_Y"]->Fill(v.y);
642  mes_[label]["RecoAllAssoc2Gen_Z"]->Fill(v.z);
643  mes_[label]["RecoAllAssoc2Gen_R"]->Fill(v.r);
644  mes_[label]["RecoAllAssoc2Gen_Pt2"]->Fill(v.ptsq);
645  mes_[label]["RecoAllAssoc2Gen_Ndof"]->Fill(v.recVtx->ndof());
646  mes_[label]["RecoAllAssoc2Gen_NumTracks"]->Fill(v.nRecoTrk);
647  mes_[label]["RecoAllAssoc2Gen_PU"]->Fill(num_pileup_vertices);
648  mes_[label]["RecoAllAssoc2Gen_Purity"]->Fill(v.purity);
649  if (v.closest_vertex_distance_z > 0.)
650  mes_[label]["RecoAllAssoc2Gen_ClosestDistanceZ"]
651  ->Fill(v.closest_vertex_distance_z);
652  if (v.sim_vertices.size()) {
653  v.kind_of_vertex |= recoPrimaryVertex::MATCHED;
654  mes_[label]["RecoAllAssoc2GenMatched_X"]->Fill(v.x);
655  mes_[label]["RecoAllAssoc2GenMatched_Y"]->Fill(v.y);
656  mes_[label]["RecoAllAssoc2GenMatched_Z"]->Fill(v.z);
657  mes_[label]["RecoAllAssoc2GenMatched_R"]->Fill(v.r);
658  mes_[label]["RecoAllAssoc2GenMatched_Pt2"]->Fill(v.ptsq);
659  mes_[label]["RecoAllAssoc2GenMatched_Ndof"]->Fill(v.recVtx->ndof());
660  mes_[label]["RecoAllAssoc2GenMatched_NumTracks"]->Fill(v.nRecoTrk);
661  mes_[label]["RecoAllAssoc2GenMatched_PU"]->Fill(num_pileup_vertices);
662  mes_[label]["RecoAllAssoc2GenMatched_Purity"]->Fill(v.purity);
663  if (v.closest_vertex_distance_z > 0.)
664  mes_[label]["RecoAllAssoc2GenMatched_ClosestDistanceZ"]
665  ->Fill(v.closest_vertex_distance_z);
666 
667  // Fill resolution and pull plots here (as in MultiTrackValidator)
668  fillResolutionAndPullHistograms(label, num_pileup_vertices, v);
669 
670  // Now keep track of all RecoVTX associated to a SimVTX that
671  // itself is associated to more than one RecoVTX, for
672  // duplicate-rate plots on reco quantities.
673  if (v.sim_vertices_internal[0]->rec_vertices.size() > 1) {
674  v.kind_of_vertex |= recoPrimaryVertex::DUPLICATE;
675  mes_[label]["RecoAllAssoc2MultiMatchedGen_X"]->Fill(v.x);
676  mes_[label]["RecoAllAssoc2MultiMatchedGen_Y"]->Fill(v.y);
677  mes_[label]["RecoAllAssoc2MultiMatchedGen_Z"]->Fill(v.z);
678  mes_[label]["RecoAllAssoc2MultiMatchedGen_R"]->Fill(v.r);
679  mes_[label]["RecoAllAssoc2MultiMatchedGen_Pt2"]->Fill(v.ptsq);
680  mes_[label]["RecoAllAssoc2MultiMatchedGen_NumTracks"]->Fill(v.nRecoTrk);
681  mes_[label]["RecoAllAssoc2MultiMatchedGen_PU"]->Fill(num_pileup_vertices);
682  if (v.closest_vertex_distance_z > 0.)
683  mes_[label]["RecoAllAssoc2MultiMatchedGen_ClosestDistanceZ"]
684  ->Fill(v.closest_vertex_distance_z);
685  }
686  // This is meant to be used as "denominator" for the merge-rate
687  // plots produced starting from reco quantities. We enter here
688  // only if the reco vertex has been associated, since we need info
689  // from the SimVTX associated to it. In this regard, the final
690  // merge-rate plot coming from reco is not to be intended as a
691  // pure efficiency-like plot, since the normalization is biased.
692  if (v.sim_vertices_internal[0]->closest_vertex_distance_z > 0.)
693  mes_[label]["RecoAllAssoc2GenSimForMerge_ClosestDistanceZ"]
694  ->Fill(v.sim_vertices_internal[0]->closest_vertex_distance_z);
695  }
696  // this plots are meant to be used to compute the merge rate
697  if (v.sim_vertices.size() > 1) {
698  v.kind_of_vertex |= recoPrimaryVertex::MERGED;
699  mes_[label]["RecoAllAssoc2GenMultiMatched_X"]->Fill(v.x);
700  mes_[label]["RecoAllAssoc2GenMultiMatched_Y"]->Fill(v.y);
701  mes_[label]["RecoAllAssoc2GenMultiMatched_Z"]->Fill(v.z);
702  mes_[label]["RecoAllAssoc2GenMultiMatched_R"]->Fill(v.r);
703  mes_[label]["RecoAllAssoc2GenMultiMatched_Pt2"]->Fill(v.ptsq);
704  mes_[label]["RecoAllAssoc2GenMultiMatched_NumTracks"]->Fill(v.nRecoTrk);
705  mes_[label]["RecoAllAssoc2GenMultiMatched_PU"]->Fill(num_pileup_vertices);
706  if (v.sim_vertices_internal[0]->closest_vertex_distance_z > 0.)
707  mes_[label]["RecoAllAssoc2GenMultiMatched_ClosestDistanceZ"]
708  ->Fill(v.sim_vertices_internal[0]->closest_vertex_distance_z);
709  }
710  mes_[label]["RecoAllAssoc2GenProperties"]->Fill(v.kind_of_vertex);
711 
712 
713  std::string prefix;
714  if(v.sim_vertices.size() == 1) {
715  prefix = "RecoAllAssoc2GenSingleMatched_SharedTrackFraction";
716  }
717  else if(v.sim_vertices.size() > 1) {
718  prefix = "RecoAllAssoc2GenMultiMatched_SharedTrackFraction";
719  }
720 
721  for(size_t i=0; i<v.sim_vertices.size(); ++i) {
722  const double sharedTracks = v.sim_vertices_num_shared_tracks[i];
723  const simPrimaryVertex *simV = v.sim_vertices_internal[i];
724  mes_[label][prefix+"Reco"]->Fill(sharedTracks/v.nRecoTrk);
725  mes_[label][prefix+"RecoMatched"]->Fill(sharedTracks/v.num_matched_sim_tracks);
726  mes_[label][prefix+"Sim"]->Fill(sharedTracks/simV->nGenTrk);
727  mes_[label][prefix+"SimMatched"]->Fill(sharedTracks/simV->num_matched_reco_tracks);
728  }
729 }
730 
731 void PrimaryVertexAnalyzer4PUSlimmed::fillResolutionAndPullHistograms(
732  const std::string& label,
733  int num_pileup_vertices,
734  PrimaryVertexAnalyzer4PUSlimmed::recoPrimaryVertex& v) {
735 
736  std::string prefix = "RecoAllAssoc2GenMatched";
737  if(v.sim_vertices_internal.size() > 1) {
738  prefix += "Merged";
739  }
740 
741  // Use the best match as defined by the vertex truth associator
742  // reco-tracks as the best match
743  const simPrimaryVertex& bestMatch = *(v.sim_vertices_internal[0]);
744  const double xres = v.x - bestMatch.x;
745  const double yres = v.y - bestMatch.y;
746  const double zres = v.z - bestMatch.z;
747  const double pt2res = v.ptsq - bestMatch.ptsq;
748 
749  const double xresol = xres;
750  const double yresol = yres;
751  const double zresol = zres;
752  const double pt2resol = pt2res/v.ptsq;
753 
754  mes_[label][prefix+"_ResolX"]->Fill(xresol);
755  mes_[label][prefix+"_ResolY"]->Fill(yresol);
756  mes_[label][prefix+"_ResolZ"]->Fill(zresol);
757  mes_[label][prefix+"_ResolPt2"]->Fill(pt2resol);
758 
759  mes_[label][prefix+"_ResolX_vs_PU"]->Fill(num_pileup_vertices, xresol);
760  mes_[label][prefix+"_ResolY_vs_PU"]->Fill(num_pileup_vertices, yresol);
761  mes_[label][prefix+"_ResolZ_vs_PU"]->Fill(num_pileup_vertices, zresol);
762  mes_[label][prefix+"_ResolPt2_vs_PU"]->Fill(num_pileup_vertices, pt2resol);
763 
764  mes_[label][prefix+"_ResolX_vs_NumTracks"]->Fill(v.nRecoTrk, xresol);
765  mes_[label][prefix+"_ResolY_vs_NumTracks"]->Fill(v.nRecoTrk, yresol);
766  mes_[label][prefix+"_ResolZ_vs_NumTracks"]->Fill(v.nRecoTrk, zresol);
767  mes_[label][prefix+"_ResolPt2_vs_NumTracks"]->Fill(v.nRecoTrk, pt2resol);
768 
769  mes_[label][prefix+"_PullX"]->Fill(xres/v.recVtx->xError());
770  mes_[label][prefix+"_PullY"]->Fill(yres/v.recVtx->yError());
771  mes_[label][prefix+"_PullZ"]->Fill(zres/v.recVtx->zError());
772 }
773 
774 bool PrimaryVertexAnalyzer4PUSlimmed::matchRecoTrack2SimSignal(const reco::TrackBaseRef& recoTrack) {
775  auto found = r2s_->find(recoTrack);
776 
777  // reco track not matched to any TP
778  if(found == r2s_->end())
779  return false;
780 
781  // reco track matched to some TP from signal vertex
782  for(const auto& tp: found->val) {
783  if(tp.first->eventId().bunchCrossing() == 0 && tp.first->eventId().event() == 0)
784  return true;
785  }
786 
787  // reco track not matched to any TP from signal vertex
788  return false;
789 }
790 
791 void PrimaryVertexAnalyzer4PUSlimmed::calculatePurityAndFillHistograms(
792  const std::string& label,
793  std::vector<recoPrimaryVertex>& recopvs,
794  int genpv_position_in_reco_collection,
795  bool signal_is_highest_pt) {
796  if(recopvs.empty()) return;
797 
798  std::vector<double> vtx_sumpt_sigmatched;
799  std::vector<double> vtx_sumpt2_sigmatched;
800 
801  vtx_sumpt_sigmatched.reserve(recopvs.size());
802  vtx_sumpt2_sigmatched.reserve(recopvs.size());
803 
804  // Calculate purity
805  for(auto& v: recopvs) {
806  double sumpt_all = 0;
807  double sumpt_sigmatched = 0;
808  double sumpt2_sigmatched = 0;
809  const reco::Vertex *vertex = v.recVtx;
810  for(auto iTrack = vertex->tracks_begin(); iTrack != vertex->tracks_end(); ++iTrack) {
811  double pt = (*iTrack)->pt();
812  sumpt_all += pt;
813  if(matchRecoTrack2SimSignal(*iTrack)) {
814  sumpt_sigmatched += pt;
815  sumpt2_sigmatched += pt*pt;
816  }
817  }
818  v.purity = sumpt_sigmatched / sumpt_all;
819 
820  vtx_sumpt_sigmatched.push_back(sumpt_sigmatched);
821  vtx_sumpt2_sigmatched.push_back(sumpt2_sigmatched);
822  }
823 
824  const double vtxAll_sumpt_sigmatched = std::accumulate(vtx_sumpt_sigmatched.begin(), vtx_sumpt_sigmatched.end(), 0.0);
825  const double vtxNot0_sumpt_sigmatched = vtxAll_sumpt_sigmatched - vtx_sumpt_sigmatched[0];
826  const double missing = vtxNot0_sumpt_sigmatched / vtxAll_sumpt_sigmatched;
827 
828  // Fill purity
829  std::string prefix = "RecoPVAssoc2GenPVNotMatched_";
830  if(genpv_position_in_reco_collection == 0)
831  prefix = "RecoPVAssoc2GenPVMatched_";
832 
833  mes_[label][prefix+"Purity"]->Fill(recopvs[0].purity);
834  mes_[label][prefix+"Missing"]->Fill(missing);
835  auto hpurity = mes_[label][prefix+"Purity_vs_Index"];
836  for(size_t i=0; i<recopvs.size(); ++i) {
837  hpurity->Fill(i, recopvs[i].purity);
838  }
839 
840  // Fill sumpt2
841  for(size_t i=0; i<recopvs.size(); ++i) {
842  if(static_cast<int>(i) == genpv_position_in_reco_collection) {
843  mes_[label]["RecoAssoc2GenPVMatched_Pt2"]->Fill(recopvs[i].ptsq);
844  }
845  else {
846  double pt2 = recopvs[i].ptsq;
847  mes_[label]["RecoAssoc2GenPVNotMatched_Pt2"]->Fill(pt2);
848  // Subtract hard-scatter track pt2 from the pileup pt2
849  double pt2_pu = pt2-vtx_sumpt2_sigmatched[i];
850  mes_[label]["RecoAssoc2GenPVNotMatched_GenPVTracksRemoved_Pt2"]->Fill(pt2_pu);
851  }
852  }
853  if(!signal_is_highest_pt && genpv_position_in_reco_collection >= 0)
854  mes_[label]["RecoAssoc2GenPVMatchedNotHighest_Pt2"]->Fill(recopvs[genpv_position_in_reco_collection].ptsq);
855 }
856 
857 /* Extract information form TrackingParticles/TrackingVertex and fill
858  * the helper class simPrimaryVertex with proper generation-level
859  * information */
860 std::vector<PrimaryVertexAnalyzer4PUSlimmed::simPrimaryVertex>
861 PrimaryVertexAnalyzer4PUSlimmed::getSimPVs(
862  const edm::Handle<TrackingVertexCollection>& tVC) {
863  std::vector<PrimaryVertexAnalyzer4PUSlimmed::simPrimaryVertex> simpv;
864  int current_event = -1;
865 
866  if (verbose_) {
867  std::cout << "getSimPVs TrackingVertexCollection " << std::endl;
868  }
869 
870  for (TrackingVertexCollection::const_iterator v = tVC->begin();
871  v != tVC->end(); ++v) {
872  if (verbose_) {
873  std::cout << "BunchX.EventId: " << v->eventId().bunchCrossing() << "."
874  << (v->eventId()).event() << " Position: " << v->position()
875  << " G4/HepMC Vertices: " << v->g4Vertices().size() << "/"
876  << v->genVertices().size()
877  << " t = " << v->position().t() * 1.e12
878  << " == 0:" << (v->position().t() > 0) << std::endl;
879  for (TrackingVertex::g4v_iterator gv = v->g4Vertices_begin();
880  gv != v->g4Vertices_end(); gv++) {
881  std::cout << *gv << std::endl;
882  }
883  std::cout << "----------" << std::endl;
884  } // end of verbose_ session
885 
886  // I'd rather change this and select only vertices that come from
887  // BX=0. We should keep only the first vertex from all the events
888  // at BX=0.
889  if (v->eventId().bunchCrossing() != 0) continue;
890  if (v->eventId().event() != current_event) {
891  current_event = v->eventId().event();
892  } else {
893  continue;
894  }
895  // TODO(rovere) is this really necessary?
896  if (fabs(v->position().z()) > 1000) continue; // skip funny junk vertices
897 
898  // could be a new vertex, check all primaries found so far to avoid
899  // multiple entries
900  simPrimaryVertex sv(v->position().x(), v->position().y(),
901  v->position().z());
902  sv.eventId = v->eventId();
903  sv.sim_vertex = TrackingVertexRef(tVC, std::distance(tVC->begin(), v));
904 
905  for (TrackingParticleRefVector::iterator iTrack = v->daughterTracks_begin();
906  iTrack != v->daughterTracks_end(); ++iTrack) {
907  // TODO(rovere) isn't it always the case? Is it really worth
908  // checking this out?
909  // sv.eventId = (**iTrack).eventId();
910  assert((**iTrack).eventId().bunchCrossing() == 0);
911  }
912  // TODO(rovere) maybe get rid of this old logic completely ... ?
913  simPrimaryVertex* vp = NULL; // will become non-NULL if a vertex
914  // is found and then point to it
915  for (std::vector<simPrimaryVertex>::iterator v0 = simpv.begin();
916  v0 != simpv.end(); v0++) {
917  if ((sv.eventId == v0->eventId) && (fabs(sv.x - v0->x) < 1e-5) &&
918  (fabs(sv.y - v0->y) < 1e-5) && (fabs(sv.z - v0->z) < 1e-5)) {
919  vp = &(*v0);
920  break;
921  }
922  }
923  if (!vp) {
924  // this is a new vertex, add it to the list of sim-vertices
925  simpv.push_back(sv);
926  vp = &simpv.back();
927  if (verbose_) {
928  std::cout << "this is a new vertex " << sv.eventId.event() << " "
929  << sv.x << " " << sv.y << " " << sv.z << std::endl;
930  }
931  } else {
932  if (verbose_) {
933  std::cout << "this is not a new vertex" << sv.x << " " << sv.y << " "
934  << sv.z << std::endl;
935  }
936  }
937 
938  // Loop over daughter track(s) as Tracking Particles
939  for (TrackingVertex::tp_iterator iTP = v->daughterTracks_begin();
940  iTP != v->daughterTracks_end(); ++iTP) {
941  auto momentum = (*(*iTP)).momentum();
942  const reco::Track* matched_best_reco_track = nullptr;
943  double match_quality = -1;
944  if (use_only_charged_tracks_ && (**iTP).charge() == 0)
945  continue;
946  if (s2r_->find(*iTP) != s2r_->end()) {
947  matched_best_reco_track = (*s2r_)[*iTP][0].first.get();
948  match_quality = (*s2r_)[*iTP][0].second;
949  }
950  if (verbose_) {
951  std::cout << " Daughter momentum: " << momentum;
952  std::cout << " Daughter type " << (*(*iTP)).pdgId();
953  std::cout << " matched: " << (matched_best_reco_track != nullptr);
954  std::cout << " match-quality: " << match_quality;
955  std::cout << std::endl;
956  }
957  vp->ptot.setPx(vp->ptot.x() + momentum.x());
958  vp->ptot.setPy(vp->ptot.y() + momentum.y());
959  vp->ptot.setPz(vp->ptot.z() + momentum.z());
960  vp->ptot.setE(vp->ptot.e() + (**iTP).energy());
961  vp->ptsq += ((**iTP).pt() * (**iTP).pt());
962  // TODO(rovere) only select charged sim-particles? If so, maybe
963  // put it as a configuration parameter?
964  if (matched_best_reco_track) {
965  vp->num_matched_reco_tracks++;
966  vp->average_match_quality += match_quality;
967  }
968  // TODO(rovere) get rid of cuts on sim-tracks
969  // TODO(rovere) be consistent between simulated tracks and
970  // reconstructed tracks selection
971  // count relevant particles
972  if (((**iTP).pt() > 0.2) && (fabs((**iTP).eta()) < 2.5) &&
973  (**iTP).charge() != 0) {
974  vp->nGenTrk++;
975  }
976  } // End of for loop on daughters sim-particles
977  if (vp->num_matched_reco_tracks)
978  vp->average_match_quality /=
979  static_cast<float>(vp->num_matched_reco_tracks);
980  if (verbose_) {
981  std::cout << "average number of associated tracks: "
982  << vp->num_matched_reco_tracks / static_cast<float>(vp->nGenTrk)
983  << " with average quality: " << vp->average_match_quality
984  << std::endl;
985  }
986  } // End of for loop on tracking vertices
987 
988  if (verbose_) {
989  std::cout << "------- PrimaryVertexAnalyzer4PUSlimmed simPVs from "
990  "TrackingVertices "
991  "-------" << std::endl;
992  for (std::vector<simPrimaryVertex>::iterator v0 = simpv.begin();
993  v0 != simpv.end(); v0++) {
994  std::cout << "z=" << v0->z << " event=" << v0->eventId.event()
995  << std::endl;
996  }
997  std::cout << "-----------------------------------------------" << std::endl;
998  } // End of for summary on discovered simulated primary vertices.
999 
1000  // In case of no simulated vertices, break here
1001  if(simpv.empty())
1002  return simpv;
1003 
1004  // Now compute the closest distance in z between all simulated vertex
1005  // first initialize
1006  auto prev_z = simpv.back().z;
1007  for(simPrimaryVertex& vsim: simpv) {
1008  vsim.closest_vertex_distance_z = std::abs(vsim.z - prev_z);
1009  prev_z = vsim.z;
1010  }
1011  // then calculate
1012  for (std::vector<simPrimaryVertex>::iterator vsim = simpv.begin();
1013  vsim != simpv.end(); vsim++) {
1014  std::vector<simPrimaryVertex>::iterator vsim2 = vsim;
1015  vsim2++;
1016  for (; vsim2 != simpv.end(); vsim2++) {
1017  double distance = std::abs(vsim->z - vsim2->z);
1018  // need both to be complete
1019  vsim->closest_vertex_distance_z = std::min(vsim->closest_vertex_distance_z, distance);
1020  vsim2->closest_vertex_distance_z = std::min(vsim2->closest_vertex_distance_z, distance);
1021  }
1022  }
1023  return simpv;
1024 }
1025 
1026 /* Extract information form recoVertex and fill the helper class
1027  * recoPrimaryVertex with proper reco-level information */
1028 std::vector<PrimaryVertexAnalyzer4PUSlimmed::recoPrimaryVertex>
1029 PrimaryVertexAnalyzer4PUSlimmed::getRecoPVs(
1030  const edm::Handle<edm::View<reco::Vertex>>& tVC) {
1031  std::vector<PrimaryVertexAnalyzer4PUSlimmed::recoPrimaryVertex> recopv;
1032 
1033  if (verbose_) {
1034  std::cout << "getRecoPVs TrackingVertexCollection " << std::endl;
1035  }
1036 
1037  for (auto v = tVC->begin(); v != tVC->end(); ++v) {
1038  if (verbose_) {
1039  std::cout << " Position: " << v->position() << std::endl;
1040  }
1041 
1042  // Skip junk vertices
1043  if (fabs(v->z()) > 1000) continue;
1044  if (v->isFake() || !v->isValid()) continue;
1045 
1046  recoPrimaryVertex sv(v->position().x(), v->position().y(),
1047  v->position().z());
1048  sv.recVtx = &(*v);
1049  sv.recVtxRef = reco::VertexBaseRef(tVC, std::distance(tVC->begin(), v));
1050  // this is a new vertex, add it to the list of reco-vertices
1051  recopv.push_back(sv);
1052  PrimaryVertexAnalyzer4PUSlimmed::recoPrimaryVertex* vp = &recopv.back();
1053 
1054  // Loop over daughter track(s)
1055  for (auto iTrack = v->tracks_begin(); iTrack != v->tracks_end(); ++iTrack) {
1056  auto momentum = (*(*iTrack)).innerMomentum();
1057  // TODO(rovere) better handle the pixelVertices, whose tracks
1058  // do not have the innerMomentum defined. This is a temporary
1059  // hack to overcome this problem.
1060  if (momentum.mag2() == 0)
1061  momentum = (*(*iTrack)).momentum();
1062  if (verbose_) {
1063  std::cout << " Daughter momentum: " << momentum;
1064  std::cout << std::endl;
1065  }
1066  vp->ptsq += (momentum.perp2());
1067  vp->nRecoTrk++;
1068 
1069  auto matched = r2s_->find(*iTrack);
1070  if(matched != r2s_->end()) {
1071  vp->num_matched_sim_tracks++;
1072  }
1073 
1074  } // End of for loop on daughters reconstructed tracks
1075  } // End of for loop on tracking vertices
1076 
1077  if (verbose_) {
1078  std::cout << "------- PrimaryVertexAnalyzer4PUSlimmed recoPVs from "
1079  "VertexCollection "
1080  "-------" << std::endl;
1081  for (std::vector<recoPrimaryVertex>::iterator v0 = recopv.begin();
1082  v0 != recopv.end(); v0++) {
1083  std::cout << "z=" << v0->z << std::endl;
1084  }
1085  std::cout << "-----------------------------------------------" << std::endl;
1086  } // End of for summary on reconstructed primary vertices.
1087 
1088  // In case of no reco vertices, break here
1089  if(recopv.empty())
1090  return recopv;
1091 
1092  // Now compute the closest distance in z between all reconstructed vertex
1093  // first initialize
1094  auto prev_z = recopv.back().z;
1095  for(recoPrimaryVertex& vreco: recopv) {
1096  vreco.closest_vertex_distance_z = std::abs(vreco.z - prev_z);
1097  prev_z = vreco.z;
1098  }
1099  for (std::vector<recoPrimaryVertex>::iterator vreco = recopv.begin();
1100  vreco != recopv.end(); vreco++) {
1101  std::vector<recoPrimaryVertex>::iterator vreco2 = vreco;
1102  vreco2++;
1103  for (; vreco2 != recopv.end(); vreco2++) {
1104  double distance = std::abs(vreco->z - vreco2->z);
1105  // need both to be complete
1106  vreco->closest_vertex_distance_z = std::min(vreco->closest_vertex_distance_z, distance);
1107  vreco2->closest_vertex_distance_z = std::min(vreco2->closest_vertex_distance_z, distance);
1108  }
1109  }
1110  return recopv;
1111 }
1112 
1113 void PrimaryVertexAnalyzer4PUSlimmed::resetSimPVAssociation(
1114  std::vector<simPrimaryVertex> & simpv) {
1115  for (auto & v : simpv) {
1116  v.rec_vertices.clear();
1117  }
1118 }
1119 
1120 // ------------ method called to produce the data ------------
1121 void PrimaryVertexAnalyzer4PUSlimmed::matchSim2RecoVertices(
1122  std::vector<simPrimaryVertex>& simpv,
1123  const reco::VertexSimToRecoCollection& vertex_s2r) {
1124  if (verbose_) {
1125  std::cout << "PrimaryVertexAnalyzer4PUSlimmed::matchSim2RecoVertices " << std::endl;
1126  }
1127  for (std::vector<simPrimaryVertex>::iterator vsim = simpv.begin();
1128  vsim != simpv.end(); vsim++) {
1129 
1130  auto matched = vertex_s2r.find(vsim->sim_vertex);
1131  if(matched != vertex_s2r.end()) {
1132  for(const auto vertexRefQuality: matched->val) {
1133  vsim->rec_vertices.push_back(&(*(vertexRefQuality.first)));
1134  }
1135  }
1136 
1137  if (verbose_) {
1138  if (vsim->rec_vertices.size()) {
1139  for (auto const& v : vsim->rec_vertices) {
1140  std::cout << "Found a matching vertex for genVtx "
1141  << vsim->z << " at " << v->z()
1142  << " with sign: " << fabs(v->z() - vsim->z) / v->zError()
1143  << std::endl;
1144  }
1145  } else {
1146  std::cout << "No matching vertex for " << vsim->z << std::endl;
1147  }
1148  }
1149  } // end for loop on simulated vertices
1150  if (verbose_) {
1151  std::cout << "Done with matching sim vertices" << std::endl;
1152  }
1153 }
1154 
1155 void PrimaryVertexAnalyzer4PUSlimmed::matchReco2SimVertices(
1156  std::vector<recoPrimaryVertex>& recopv,
1157  const reco::VertexRecoToSimCollection& vertex_r2s,
1158  const std::vector<simPrimaryVertex>& simpv) {
1159  for (std::vector<recoPrimaryVertex>::iterator vrec = recopv.begin();
1160  vrec != recopv.end(); vrec++) {
1161 
1162  auto matched = vertex_r2s.find(vrec->recVtxRef);
1163  if(matched != vertex_r2s.end()) {
1164  for(const auto vertexRefQuality: matched->val) {
1165  const auto tvPtr = &(*(vertexRefQuality.first));
1166  vrec->sim_vertices.push_back(tvPtr);
1167  }
1168 
1169  for(const TrackingVertex *tv: vrec->sim_vertices) {
1170  // Set pointers to internal simVertex objects
1171  for(const auto& vv: simpv) {
1172  if (&(*(vv.sim_vertex)) == tv) {
1173  vrec->sim_vertices_internal.push_back(&vv);
1174  continue;
1175  }
1176  }
1177 
1178  // Calculate number of shared tracks
1179  vrec->sim_vertices_num_shared_tracks.push_back(calculateVertexSharedTracks(*(vrec->recVtx), *tv, *r2s_));
1180  }
1181  }
1182 
1183  if (verbose_) {
1184  for (auto v : vrec->sim_vertices) {
1185  std::cout << "Found a matching vertex for reco: " << vrec->z
1186  << " at gen:" << v->position().z() << " with sign: "
1187  << fabs(vrec->z - v->position().z()) / vrec->recVtx->zError()
1188  << std::endl;
1189  }
1190  }
1191  } // end for loop on reconstructed vertices
1192 }
1193 
1194 void PrimaryVertexAnalyzer4PUSlimmed::analyze(const edm::Event& iEvent,
1195  const edm::EventSetup& iSetup) {
1196  using std::vector;
1197  using std::cout;
1198  using std::endl;
1199  using edm::Handle;
1200  using edm::View;
1201  using edm::LogInfo;
1202  using namespace reco;
1203 
1204  std::vector<float> pileUpInfo_z;
1205 
1206  // get the pileup information
1207  edm::Handle<std::vector<PileupSummaryInfo> > puinfoH;
1208  if (iEvent.getByToken(vecPileupSummaryInfoToken_, puinfoH)) {
1209  for (auto const& pu_info : *puinfoH.product()) {
1210  mes_["root_folder"]["GenVtx_vs_BX"]
1211  ->Fill(pu_info.getBunchCrossing(), pu_info.getPU_NumInteractions());
1212  if (pu_info.getBunchCrossing() == 0) {
1213  pileUpInfo_z = pu_info.getPU_zpositions();
1214  if (verbose_) {
1215  for (auto const& p : pileUpInfo_z) {
1216  std::cout << "PileUpInfo on Z vertex: " << p << std::endl;
1217  }
1218  }
1219  break;
1220  }
1221  }
1222  }
1223 
1224  Handle<reco::TrackCollection> recTrks;
1225  iEvent.getByToken(recoTrackCollectionToken_, recTrks);
1226 
1227  // for the associator
1228  Handle<View<Track> > trackCollectionH;
1229  iEvent.getByToken(edmView_recoTrack_Token_, trackCollectionH);
1230 
1231  edm::Handle<TrackingParticleCollection> TPCollectionH;
1232  iEvent.getByToken(trackingParticleCollectionToken_, TPCollectionH);
1233 
1234  edm::Handle<TrackingVertexCollection> TVCollectionH;
1235  iEvent.getByToken(trackingVertexCollectionToken_, TVCollectionH);
1236 
1237  // TODO(rovere) the idea is to put in case a track-selector in front
1238  // of this module and then use its label to get the selected tracks
1239  // out of the event instead of making an hard-coded selection in the
1240  // code.
1241 
1242  edm::Handle<reco::SimToRecoCollection> simToRecoH;
1243  iEvent.getByToken(simToRecoAssociationToken_, simToRecoH);
1244 
1245  edm::Handle<reco::RecoToSimCollection> recoToSimH;
1246  iEvent.getByToken(recoToSimAssociationToken_, recoToSimH);
1247 
1248  s2r_ = simToRecoH.product();
1249  r2s_ = recoToSimH.product();
1250 
1251  // Vertex associator
1252  edm::Handle<reco::VertexToTrackingVertexAssociator> vertexAssociatorH;
1253  iEvent.getByToken(vertexAssociatorToken_, vertexAssociatorH);
1254  const reco::VertexToTrackingVertexAssociator& vertexAssociator = *(vertexAssociatorH.product());
1255 
1256  std::vector<simPrimaryVertex> simpv; // a list of simulated primary
1257  // MC vertices
1258  // TODO(rovere) use move semantic?
1259  simpv = getSimPVs(TVCollectionH);
1260  // TODO(rovere) 1 vertex is not, by definition, pileup, and should
1261  // probably be subtracted?
1262  int kind_of_signal_vertex = 0;
1263  int num_pileup_vertices = simpv.size();
1264  mes_["root_folder"]["GenAllV_NumVertices"]->Fill(simpv.size());
1265  bool signal_is_highest_pt = std::max_element(simpv.begin(), simpv.end(),
1266  [](const simPrimaryVertex& lhs,
1267  const simPrimaryVertex& rhs) {
1268  return lhs.ptsq < rhs.ptsq;
1269  }) == simpv.begin();
1270  kind_of_signal_vertex |= (signal_is_highest_pt << HIGHEST_PT);
1271  mes_["root_folder"]["SignalIsHighestPt2"]->Fill(
1272  signal_is_highest_pt ? 1. : 0.);
1273  computePairDistance(simpv,
1274  mes_["root_folder"]["GenAllV_PairDistanceZ"]);
1275 
1276  int label_index = -1;
1277  for (auto const& vertex_token : reco_vertex_collection_tokens_) {
1278  std::vector<recoPrimaryVertex> recopv; // a list of reconstructed
1279  // primary MC vertices
1280  std::string label = reco_vertex_collections_[++label_index].label();
1281  edm::Handle<edm::View<reco::Vertex>> recVtxs;
1282  if (!iEvent.getByToken(vertex_token, recVtxs)) {
1283  LogInfo("PrimaryVertexAnalyzer4PUSlimmed")
1284  << "Skipping vertex collection: " << label << " since it is missing."
1285  << std::endl;
1286  continue;
1287  }
1288 
1289  reco::VertexRecoToSimCollection vertex_r2s = vertexAssociator.associateRecoToSim(recVtxs, TVCollectionH);
1290  reco::VertexSimToRecoCollection vertex_s2r = vertexAssociator.associateSimToReco(recVtxs, TVCollectionH);
1291 
1292  resetSimPVAssociation(simpv);
1293  matchSim2RecoVertices(simpv, vertex_s2r);
1294  recopv = getRecoPVs(recVtxs);
1295  computePairDistance(recopv,
1296  mes_[label]["RecoAllAssoc2Gen_PairDistanceZ"]);
1297  matchReco2SimVertices(recopv, vertex_r2s, simpv);
1298 
1299  int num_total_gen_vertices_assoc2reco = 0;
1300  int num_total_reco_vertices_assoc2gen = 0;
1301  int num_total_gen_vertices_multiassoc2reco = 0;
1302  int num_total_reco_vertices_multiassoc2gen = 0;
1303  int num_total_reco_vertices_duplicate = 0;
1304  int genpv_position_in_reco_collection = -1;
1305  for (auto const& v : simpv) {
1306  float mistag = 1.;
1307  // TODO(rovere) put selectors here in front of fill* methods.
1308  if (v.eventId.event() == 0) {
1309  if (!recVtxs->empty() &&
1310  std::find(v.rec_vertices.begin(), v.rec_vertices.end(),
1311  &((*recVtxs.product())[0])) != v.rec_vertices.end()) {
1312  mistag = 0.;
1313  kind_of_signal_vertex |= (1 << IS_ASSOC2FIRST_RECO);
1314  } else {
1315  if (v.rec_vertices.size()) {
1316  kind_of_signal_vertex |= (1 << IS_ASSOC2ANY_RECO);
1317  }
1318  }
1319  mes_[label]["KindOfSignalPV"]->Fill(kind_of_signal_vertex);
1320  mes_[label]["MisTagRate"]->Fill(mistag);
1321  mes_[label]["MisTagRate_vs_PU"]->Fill(simpv.size(), mistag);
1322  mes_[label]["MisTagRate_vs_sum-pt2"]->Fill(v.ptsq, mistag);
1323  mes_[label]["MisTagRate_vs_Z"]->Fill(v.z, mistag);
1324  mes_[label]["MisTagRate_vs_R"]->Fill(v.r, mistag);
1325  mes_[label]["MisTagRate_vs_NumTracks"]->Fill(v.nGenTrk, mistag);
1326  if (signal_is_highest_pt) {
1327  mes_[label]["MisTagRateSignalIsHighest"]->Fill(mistag);
1328  mes_[label]["MisTagRateSignalIsHighest_vs_PU"]->Fill(simpv.size(),
1329  mistag);
1330  mes_[label]["MisTagRateSignalIsHighest_vs_sum-pt2"]->Fill(v.ptsq,
1331  mistag);
1332  mes_[label]["MisTagRateSignalIsHighest_vs_Z"]->Fill(v.z, mistag);
1333  mes_[label]["MisTagRateSignalIsHighest_vs_R"]->Fill(v.r, mistag);
1334  mes_[label]["MisTagRateSignalIsHighest_vs_NumTracks"]->Fill(v.nGenTrk,
1335  mistag);
1336  } else {
1337  mes_[label]["MisTagRateSignalIsNotHighest"]->Fill(mistag);
1338  mes_[label]["MisTagRateSignalIsNotHighest_vs_PU"]->Fill(simpv.size(),
1339  mistag);
1340  mes_[label]["MisTagRateSignalIsNotHighest_vs_sum-pt2"]->Fill(v.ptsq,
1341  mistag);
1342  mes_[label]["MisTagRateSignalIsNotHighest_vs_Z"]->Fill(v.z, mistag);
1343  mes_[label]["MisTagRateSignalIsNotHighest_vs_R"]->Fill(v.r, mistag);
1344  mes_[label]["MisTagRateSignalIsNotHighest_vs_NumTracks"]->
1345  Fill(v.nGenTrk, mistag);
1346  }
1347  // Now check at which location the Simulated PV has been
1348  // reconstructed in the primary vertex collection
1349  // at-hand. Mark it with fake index -1 if it was not
1350  // reconstructed at all.
1351 
1352  auto iv = (*recVtxs.product()).begin();
1353  for (int pv_position_in_reco_collection = 0;
1354  iv != (*recVtxs.product()).end();
1355  ++pv_position_in_reco_collection, ++iv) {
1356  if (std::find(v.rec_vertices.begin(), v.rec_vertices.end(),
1357  &(*iv)) != v.rec_vertices.end()) {
1358  mes_[label]["TruePVLocationIndex"]
1359  ->Fill(pv_position_in_reco_collection);
1360  mes_[label]["TruePVLocationIndexCumulative"]
1361  ->Fill(pv_position_in_reco_collection > 0 ? 1 : 0);
1362 
1363  if (signal_is_highest_pt) {
1364  mes_[label]["TruePVLocationIndexSignalIsHighest"]
1365  ->Fill(pv_position_in_reco_collection);
1366  } else {
1367  mes_[label]["TruePVLocationIndexSignalIsNotHighest"]
1368  ->Fill(pv_position_in_reco_collection);
1369  }
1370 
1371  genpv_position_in_reco_collection = pv_position_in_reco_collection;
1372  break;
1373  }
1374  }
1375 
1376  // If we reached the end, it means that the Simulated PV has not
1377  // been associated to any reconstructed vertex: mark it as
1378  // missing in the reconstructed vertex collection using the fake
1379  // index -1.
1380  if (iv == (*recVtxs.product()).end()) {
1381  mes_[label]["TruePVLocationIndex"]->Fill(-1.);
1382  mes_[label]["TruePVLocationIndexCumulative"]->Fill(-1.);
1383  if (signal_is_highest_pt)
1384  mes_[label]["TruePVLocationIndexSignalIsHighest"]->Fill(-1.);
1385  else
1386  mes_[label]["TruePVLocationIndexSignalIsNotHighest"]->Fill(-1.);
1387  }
1388  }
1389 
1390  if (v.rec_vertices.size()) num_total_gen_vertices_assoc2reco++;
1391  if (v.rec_vertices.size() > 1) num_total_gen_vertices_multiassoc2reco++;
1392  // No need to N-tplicate the Gen-related cumulative histograms:
1393  // fill them only at the first iteration
1394  if (label_index == 0) fillGenericGenVertexHistograms(v);
1395  fillRecoAssociatedGenVertexHistograms(label, v);
1396  }
1397  calculatePurityAndFillHistograms(label, recopv, genpv_position_in_reco_collection, signal_is_highest_pt);
1398 
1399  mes_[label]["GenAllAssoc2Reco_NumVertices"]
1400  ->Fill(simpv.size(), simpv.size());
1401  mes_[label]["GenAllAssoc2RecoMatched_NumVertices"]
1402  ->Fill(simpv.size(), num_total_gen_vertices_assoc2reco);
1403  mes_[label]["GenAllAssoc2RecoMultiMatched_NumVertices"]
1404  ->Fill(simpv.size(), num_total_gen_vertices_multiassoc2reco);
1405  for (auto & v : recopv) {
1406  fillGenAssociatedRecoVertexHistograms(label, num_pileup_vertices, v);
1407  if (v.sim_vertices.size()) {
1408  num_total_reco_vertices_assoc2gen++;
1409  if (v.sim_vertices_internal[0]->rec_vertices.size() > 1) {
1410  num_total_reco_vertices_duplicate++;
1411  }
1412  }
1413  if (v.sim_vertices.size() > 1) num_total_reco_vertices_multiassoc2gen++;
1414  }
1415  mes_[label]["RecoAllAssoc2Gen_NumVertices"]
1416  ->Fill(recopv.size(), recopv.size());
1417  mes_[label]["RecoAllAssoc2GenMatched_NumVertices"]
1418  ->Fill(recopv.size(), num_total_reco_vertices_assoc2gen);
1419  mes_[label]["RecoAllAssoc2GenMultiMatched_NumVertices"]
1420  ->Fill(recopv.size(), num_total_reco_vertices_multiassoc2gen);
1421  mes_[label]["RecoAllAssoc2MultiMatchedGen_NumVertices"]
1422  ->Fill(recopv.size(), num_total_reco_vertices_duplicate);
1423  mes_[label]["RecoVtx_vs_GenVtx"]->Fill(simpv.size(), recopv.size());
1424  mes_[label]["MatchedRecoVtx_vs_GenVtx"]
1425  ->Fill(simpv.size(), num_total_reco_vertices_assoc2gen);
1426 
1427  }
1428 } // end of analyze
1429 
1430 template<class T>
1431 void PrimaryVertexAnalyzer4PUSlimmed::computePairDistance(const T &collection,
1432  MonitorElement *me) {
1433  for (unsigned int i = 0; i < collection.size(); ++i) {
1434  for (unsigned int j = i+1; j < collection.size(); ++j) {
1435  me->Fill(
1436  std::abs(collection[i].z-collection[j].z));
1437  }
1438  }
1439 }
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