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PatBJetTrackAnalyzer.cc
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1 #include <algorithm>
2 #include <iostream>
3 #include <cmath>
4 #include <vector>
5 #include <string>
6 
7 #include <TH1.h>
8 #include <TProfile.h>
9 
10 #include <Math/VectorUtil.h>
11 
19 
21 
29 
31  public:
34  ~PatBJetTrackAnalyzer() override;
35 
36  // virtual methods called from base class EDAnalyzer
37  void beginJob() override;
38  void analyze(const edm::Event &event, const edm::EventSetup &es) override;
39 
40  private:
41  // configuration parameters
46 
47  double jetPtCut_; // minimum (uncorrected) jet energy
48  double jetEtaCut_; // maximum |eta| for jet
49  double maxDeltaR_; // angle between jet and tracks
50 
51  double minPt_; // track pt quality cut
52  unsigned int minPixelHits_; // minimum number of pixel hits
53  unsigned int minTotalHits_; // minimum number of total hits
54 
55  unsigned int nThTrack_; // n-th hightest track to choose
56 
57  // jet flavour constants
58 
59  enum Flavour {
60  ALL_JETS = 0,
66  };
67 
68  TH1 *flavours_;
69 
70  // one group of plots per jet flavour;
71  struct Plots {
77 };
78 
80  jetsToken_(consumes<pat::JetCollection>(params.getParameter<edm::InputTag>("jets"))),
81  tracksToken_(consumes<reco::TrackCollection>(params.getParameter<edm::InputTag>("tracks"))),
82  beamSpotToken_(consumes<reco::BeamSpot>(params.getParameter<edm::InputTag>("beamSpot"))),
83  primaryVerticesToken_(consumes<reco::VertexCollection>(params.getParameter<edm::InputTag>("primaryVertices"))),
84  jetPtCut_(params.getParameter<double>("jetPtCut")),
85  jetEtaCut_(params.getParameter<double>("jetEtaCut")),
86  maxDeltaR_(params.getParameter<double>("maxDeltaR")),
87  minPt_(params.getParameter<double>("minPt")),
88  minPixelHits_(params.getParameter<unsigned int>("minPixelHits")),
89  minTotalHits_(params.getParameter<unsigned int>("minTotalHits")),
90  nThTrack_(params.getParameter<unsigned int>("nThTrack"))
91 {
92 }
93 
95 {
96 }
97 
99 {
100  // retrieve handle to auxiliary service
101  // used for storing histograms into ROOT file
103 
104  flavours_ = fs->make<TH1F>("flavours", "jet flavours", 5, 0, 5);
105 
106  // book histograms for all jet flavours
107  for(unsigned int i = 0; i < N_JET_TYPES; i++) {
108  Plots &plots = plots_[i];
109  const char *flavour, *name;
110 
111  switch((Flavour)i) {
112  case ALL_JETS:
113  flavour = "all jets";
114  name = "all";
115  break;
116  case UDSG_JETS:
117  flavour = "light flavour jets";
118  name = "udsg";
119  break;
120  case C_JETS:
121  flavour = "charm jets";
122  name = "c";
123  break;
124  case B_JETS:
125  flavour = "bottom jets";
126  name = "b";
127  break;
128  default:
129  flavour = "unidentified jets";
130  name = "ni";
131  break;
132  }
133 
134  plots.allIP = fs->make<TH1F>(Form("allIP_%s", name),
135  Form("signed IP for all tracks in %s", flavour),
136  100, -0.1, 0.2);
137  plots.allIPErr = fs->make<TH1F>(Form("allIPErr_%s", name),
138  Form("error of signed IP for all tracks in %s", flavour),
139  100, 0, 0.05);
140  plots.allIPSig = fs->make<TH1F>(Form("allIPSig_%s", name),
141  Form("signed IP significance for all tracks in %s", flavour),
142  100, -10, 20);
143 
144  plots.trackIP = fs->make<TH1F>(Form("trackIP_%s", name),
145  Form("signed IP for selected positive track in %s", flavour),
146  100, -0.1, 0.2);
147  plots.trackIPErr = fs->make<TH1F>(Form("trackIPErr_%s", name),
148  Form("error of signed IP for selected positive track in %s", flavour),
149  100, 0, 0.05);
150  plots.trackIPSig = fs->make<TH1F>(Form("trackIPSig_%s", name),
151  Form("signed IP significance for selected positive track in %s", flavour),
152  100, -10, 20);
153 
154  plots.negativeIP = fs->make<TH1F>(Form("negativeIP_%s", name),
155  Form("signed IP for selected negative track in %s", flavour),
156  100, -0.2, 0.1);
157  plots.negativeIPErr = fs->make<TH1F>(Form("negativeIPErr_%s", name),
158  Form("error of signed IP for selected negative track in %s", flavour),
159  100, 0, 0.05);
160  plots.negativeIPSig = fs->make<TH1F>(Form("negativeIPSig_%s", name),
161  Form("signed IP significance for selected negative track in %s", flavour),
162  100, -20, 10);
163 
164  plots.nTracks = fs->make<TH1F>(Form("nTracks_%s", name),
165  Form("number of usable tracks in %s", flavour),
166  30, 0, 30);
167  plots.allDeltaR = fs->make<TH1F>(Form("allDeltaR_%s", name),
168  Form("\\DeltaR between track and %s", flavour),
169  100, 0, 1);
170  }
171 }
172 
173 // helper function to sort the tracks by impact parameter significance
174 
175 static bool significanceHigher(const Measurement1D &meas1,
176  const Measurement1D &meas2)
177 { return meas1.significance() > meas2.significance(); }
178 
180 {
181  // handle to the primary vertex collection
183  event.getByToken(primaryVerticesToken_, pvHandle);
184 
185  // handle to the tracks collection
187  event.getByToken(tracksToken_, tracksHandle);
188 
189  // handle to the jets collection
191  event.getByToken(jetsToken_, jetsHandle);
192 
193  // handle to the beam spot
195  event.getByToken(beamSpotToken_, beamSpot);
196 
197  // rare case of no reconstructed primary vertex
198  if (pvHandle->empty())
199  return;
200 
201  // extract the position of the (most probable) reconstructed vertex
202  math::XYZPoint pv = (*pvHandle)[0].position();
203 
204  // now go through all jets
205  for(pat::JetCollection::const_iterator jet = jetsHandle->begin();
206  jet != jetsHandle->end(); ++jet) {
207 
208  // only look at jets that pass the pt and eta cut
209  if (jet->pt() < jetPtCut_ ||
210  std::abs(jet->eta()) > jetEtaCut_)
211  continue;
212 
214  // find out the jet flavour (differs between quark and anti-quark)
215  switch(std::abs(jet->partonFlavour())) {
216  case 1:
217  case 2:
218  case 3:
219  case 21:
220  flavour = UDSG_JETS;
221  break;
222  case 4:
223  flavour = C_JETS;
224  break;
225  case 5:
226  flavour = B_JETS;
227  break;
228  default:
229  flavour = NONID_JETS;
230  }
231 
232  // simply count the number of accepted jets
233  flavours_->Fill(ALL_JETS);
234  flavours_->Fill(flavour);
235 
236  // this vector will contain IP value / error pairs
237  std::vector<Measurement1D> ipValErr;
238 
239  // Note: PAT is also able to store associated tracks
240  // within the jet object, so we don't have to do the
241  // matching ourselves
242  // (see ->associatedTracks() method)
243  // However, using this we can't play with the DeltaR cone
244  // withour rerunning the PAT producer
245 
246  // now loop through all tracks
247  for(reco::TrackCollection::const_iterator track = tracksHandle->begin();
248  track != tracksHandle->end(); ++track) {
249 
250  // check the quality criteria
251  if (track->pt() < minPt_ ||
252  track->hitPattern().numberOfValidHits() < (int)minTotalHits_ ||
253  track->hitPattern().numberOfValidPixelHits() < (int)minPixelHits_)
254  continue;
255 
256  // check the Delta R between jet axis and track
257  // (Delta_R^2 = Delta_Eta^2 + Delta_Phi^2)
259  jet->momentum(), track->momentum());
260 
261  plots_[ALL_JETS].allDeltaR->Fill(deltaR);
262  plots_[flavour].allDeltaR->Fill(deltaR);
263 
264  // only look at tracks in jet cone
265  if (deltaR > maxDeltaR_)
266  continue;
267 
268  // What follows here is an approximation!
269  //
270  // The dxy() method of the tracks does a linear
271  // extrapolation from the track reference position
272  // given as the closest point to the beam spot
273  // with respect to the given vertex.
274  // Since we are using primary vertices, this
275  // approximation works well
276  //
277  // In order to get better results, the
278  // "TransientTrack" and specialised methods have
279  // to be used.
280  // Or look at the "impactParameterTagInfos",
281  // which contains the precomputed information
282  // from the official b-tagging algorithms
283  //
284  // see ->tagInfoTrackIP() method
285 
286  double ipError = track->dxyError();
287  double ipValue = std::abs(track->dxy(pv));
288 
289  // in order to compute the sign, we check if
290  // the point of closest approach to the vertex
291  // is in front or behind the vertex.
292  // Again, we a linear approximation
293  //
294  // dot product between reference point and jet axis
295 
296  math::XYZVector closestPoint = track->referencePoint() - beamSpot->position();
297  // only interested in transverse component, z -> 0
298  closestPoint.SetZ(0.);
299  double sign = closestPoint.Dot(jet->momentum());
300 
301  if (sign < 0)
302  ipValue = -ipValue;
303 
304  ipValErr.push_back(Measurement1D(ipValue, ipError));
305  }
306 
307  // now order all tracks by significance (highest first)
308  std::sort(ipValErr.begin(), ipValErr.end(), significanceHigher);
309 
310  plots_[ALL_JETS].nTracks->Fill(ipValErr.size());
311  plots_[flavour].nTracks->Fill(ipValErr.size());
312 
313  // plot all tracks
314 
315  for(std::vector<Measurement1D>::const_iterator iter = ipValErr.begin();
316  iter != ipValErr.end(); ++iter) {
317  plots_[ALL_JETS].allIP->Fill(iter->value());
318  plots_[flavour].allIP->Fill(iter->value());
319 
320  plots_[ALL_JETS].allIPErr->Fill(iter->error());
321  plots_[flavour].allIPErr->Fill(iter->error());
322 
323  // significance (is really just value / error)
324  plots_[ALL_JETS].allIPSig->Fill(iter->significance());
325  plots_[flavour].allIPSig->Fill(iter->significance());
326  }
327 
328  // check if we have enough tracks to fulfill the
329  // n-th track requirement
330  if (ipValErr.size() < nThTrack_)
331  continue;
332 
333  // pick the n-th highest track
334  const Measurement1D *trk = &ipValErr[nThTrack_ - 1];
335 
336  plots_[ALL_JETS].trackIP->Fill(trk->value());
337  plots_[flavour].trackIP->Fill(trk->value());
338 
339  plots_[ALL_JETS].trackIPErr->Fill(trk->error());
340  plots_[flavour].trackIPErr->Fill(trk->error());
341 
342  plots_[ALL_JETS].trackIPSig->Fill(trk->significance());
343  plots_[flavour].trackIPSig->Fill(trk->significance());
344 
345  // here we define a "negative tagger", i.e. we take
346  // the track with the n-lowest signed IP
347  // (i.e. preferrably select tracks that appear to become
348  // from "behind" the primary vertex, supposedly mismeasured
349  // tracks really coming from the primary vertex, and
350  // the contamination of displaced tracks should be small)
351  trk = &ipValErr[ipValErr.size() - nThTrack_];
352 
353  plots_[ALL_JETS].negativeIP->Fill(trk->value());
354  plots_[flavour].negativeIP->Fill(trk->value());
355 
356  plots_[ALL_JETS].negativeIPErr->Fill(trk->error());
357  plots_[flavour].negativeIPErr->Fill(trk->error());
358 
359  plots_[ALL_JETS].negativeIPSig->Fill(trk->significance());
360  plots_[flavour].negativeIPSig->Fill(trk->significance());
361  }
362 }
363 
365 
edm::EDGetTokenT< reco::TrackCollection > tracksToken_
edm::EDGetTokenT< reco::VertexCollection > primaryVerticesToken_
std::vector< Jet > JetCollection
Definition: Jet.h:55
static bool significanceHigher(const Measurement1D &meas1, const Measurement1D &meas2)
edm::EDGetTokenT< pat::JetCollection > jetsToken_
std::vector< Track > TrackCollection
collection of Tracks
Definition: TrackFwd.h:15
double error() const
Definition: Measurement1D.h:27
std::vector< Vertex > VertexCollection
collection of Vertex objects
Definition: VertexFwd.h:9
T * make(const Args &...args) const
make new ROOT object
Definition: TFileService.h:64
PatBJetTrackAnalyzer(const edm::ParameterSet &params)
constructor and destructor
EDGetTokenT< ProductType > consumes(edm::InputTag const &tag)
Definition: HeavyIon.h:7
#define DEFINE_FWK_MODULE(type)
Definition: MakerMacros.h:16
def pv(vc)
Definition: MetAnalyzer.py:7
Abs< T >::type abs(const T &t)
Definition: Abs.h:22
double significance() const
Definition: Measurement1D.h:29
XYZVectorD XYZVector
spatial vector with cartesian internal representation
Definition: Vector3D.h:30
XYZPointD XYZPoint
point in space with cartesian internal representation
Definition: Point3D.h:12
struct PatBJetTrackAnalyzer::Plots plots_[N_JET_TYPES]
edm::EDGetTokenT< reco::BeamSpot > beamSpotToken_
double value() const
Definition: Measurement1D.h:25
void analyze(const edm::Event &event, const edm::EventSetup &es) override
fixed size matrix
HLT enums.
const Point & position() const
position
Definition: BeamSpot.h:62
Definition: event.py:1