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MTVHistoProducerAlgoForTracker Class Reference

#include <MTVHistoProducerAlgoForTracker.h>

Public Types

typedef dqm::reco::DQMStore DQMStore
 
using Histograms = MTVHistoProducerAlgoForTrackerHistograms
 

Public Member Functions

void bookMVAHistos (DQMStore::IBooker &ibook, Histograms &histograms, size_t nMVAs)
 
void bookRecodEdxHistos (DQMStore::IBooker &ibook, Histograms &histograms)
 
void bookRecoHistos (DQMStore::IBooker &ibook, Histograms &histograms, bool doResolutionPlots)
 
void bookRecoPVAssociationHistos (DQMStore::IBooker &ibook, Histograms &histograms)
 
void bookSeedHistos (DQMStore::IBooker &ibook, Histograms &histograms)
 
void bookSimHistos (DQMStore::IBooker &ibook, Histograms &histograms)
 
void bookSimTrackHistos (DQMStore::IBooker &ibook, Histograms &histograms, bool doResolutionPlots)
 
void bookSimTrackPVAssociationHistos (DQMStore::IBooker &ibook, Histograms &histograms)
 
void fill_dedx_recoTrack_histos (const Histograms &histograms, int count, const edm::RefToBase< reco::Track > &trackref, const std::vector< const edm::ValueMap< reco::DeDxData > *> &v_dEdx) const
 
void fill_duplicate_histos (const Histograms &histograms, int count, const reco::Track &track1, const reco::Track &track2) const
 
void fill_generic_recoTrack_histos (const Histograms &histograms, int count, const reco::Track &track, const TrackerTopology &ttopo, const math::XYZPoint &bsPosition, const math::XYZPoint *pvPosition, const TrackingVertex::LorentzVector *simPVPosition, bool isMatched, bool isSigMatched, bool isChargeMatched, int numAssocRecoTracks, int numVertices, int nSimHits, double sharedFraction, double dR, double dR_jet, const std::vector< float > &mvas, unsigned int selectsLoose, unsigned int selectsHP) const
 
void fill_generic_simTrack_histos (const Histograms &histograms, const TrackingParticle::Vector &, const TrackingParticle::Point &vertex, int bx) const
 
void fill_recoAssociated_simTrack_histos (const Histograms &histograms, int count, const TrackingParticle &tp, const TrackingParticle::Vector &momentumTP, const TrackingParticle::Point &vertexTP, double dxy, double dz, double dxyPV, double dzPV, int nSimHits, int nSimLayers, int nSimPixelLayers, int nSimStripMonoAndStereoLayers, const reco::Track *track, int numVertices, double dR, double dR_jet, const math::XYZPoint *pvPosition, const TrackingVertex::LorentzVector *simPVPosition, const math::XYZPoint &bsPosition, const std::vector< float > &mvas, unsigned int selectsLoose, unsigned int selectsHP) const
 
void fill_recoAssociated_simTrack_histos (const Histograms &histograms, int count, const reco::GenParticle &tp, const TrackingParticle::Vector &momentumTP, const TrackingParticle::Point &vertexTP, double dxy, double dz, int nSimHits, const reco::Track *track, int numVertices) const
 
void fill_ResoAndPull_recoTrack_histos (const Histograms &histograms, int count, const TrackingParticle::Vector &momentumTP, const TrackingParticle::Point &vertexTP, int chargeTP, const reco::Track &track, const math::XYZPoint &bsPosition) const
 
void fill_seed_histos (const Histograms &histograms, int count, int seedsFitFailed, int seedsTotal) const
 
void fill_simAssociated_recoTrack_histos (const Histograms &histograms, int count, const reco::Track &track) const
 
void fill_simTrackBased_histos (const Histograms &histograms, int numSimTracks) const
 
void fill_trackBased_histos (const Histograms &histograms, int count, int assTracks, int numRecoTracks, int numRecoTracksSelected, int numSimTracksSelected) const
 
 MTVHistoProducerAlgoForTracker (const edm::ParameterSet &pset, const bool doSeedPlots)
 
 ~MTVHistoProducerAlgoForTracker ()
 

Static Public Member Functions

static std::unique_ptr< RecoTrackSelectorBasemakeRecoTrackSelectorFromTPSelectorParameters (const edm::ParameterSet &pset)
 

Private Types

using SeedingLayerId = std::tuple< SeedingLayerSetsBuilder::SeedingLayerId, bool >
 
using SeedingLayerSetId = std::array< SeedingLayerId, 4 >
 

Private Member Functions

double getEta (double eta) const
 
double getPt (double pt) const
 
void getRecoMomentum (const reco::Track &track, double &pt, double &ptError, double &qoverp, double &qoverpError, double &lambda, double &lambdaError, double &phi, double &phiError) const
 retrieval of reconstructed momentum components from reco::Track (== mean values for GSF) More...
 
void getRecoMomentum (const reco::GsfTrack &gsfTrack, double &pt, double &ptError, double &qoverp, double &qoverpError, double &lambda, double &lambdaError, double &phi, double &phiError) const
 retrieval of reconstructed momentum components based on the mode of a reco::GsfTrack More...
 
unsigned int getSeedingLayerSetBin (const reco::Track &track, const TrackerTopology &ttopo) const
 

Private Attributes

int cotThetaRes_nbin
 
double cotThetaRes_rangeMax
 
double cotThetaRes_rangeMin
 
const bool doDzPVcutPlots_
 
const bool doMTDPlots_
 
const bool doSeedPlots_
 
double dxyDzZoom
 
int dxyRes_nbin
 
double dxyRes_rangeMax
 
double dxyRes_rangeMin
 
int dzRes_nbin
 
double dzRes_rangeMax
 
double dzRes_rangeMin
 
std::unique_ptr< GenParticleCustomSelectorgeneralGpSelector
 
std::unique_ptr< TrackingParticleSelectorgeneralTpSelector
 
std::unique_ptr< GenParticleCustomSelectorGpSelectorForEfficiencyVsEta
 
std::unique_ptr< GenParticleCustomSelectorGpSelectorForEfficiencyVsPhi
 
std::unique_ptr< GenParticleCustomSelectorGpSelectorForEfficiencyVsPt
 
std::unique_ptr< GenParticleCustomSelectorGpSelectorForEfficiencyVsVTXR
 
std::unique_ptr< GenParticleCustomSelectorGpSelectorForEfficiencyVsVTXZ
 
double maxChi2
 
double maxDeDx
 
double maxdr
 
double maxdrj
 
double maxDxy
 
double maxDz
 
double maxDzpvCum
 
double maxDzpvsigCum
 
double maxEta
 
double maxHit
 
double maxLayers
 
double maxMVA
 
double maxPhi
 
double maxPt
 
double maxPu
 
double maxPVz
 
double maxTracks
 
double maxVertcount
 
double maxVertpos
 
double maxZpos
 
double minChi2
 
double minDeDx
 
double mindr
 
double mindrj
 
double minDxy
 
double minDz
 
double minEta
 
double minHit
 
double minLayers
 
double minMVA
 
double minPhi
 
double minPt
 
double minPu
 
double minPVz
 
double minTracks
 
double minVertcount
 
double minVertpos
 
double minZpos
 
int nintChi2
 
int nintDeDx
 
int nintdr
 
int nintdrj
 
int nintDxy
 
int nintDz
 
int nintDzpvCum
 
int nintDzpvsigCum
 
int nintEta
 
int nintHit
 
int nintLayers
 
int nintMVA
 
int nintPhi
 
int nintPt
 
int nintPu
 
int nintPVz
 
int nintTracks
 
int nintVertcount
 
int nintVertpos
 
int nintZpos
 
int phiRes_nbin
 
double phiRes_rangeMax
 
double phiRes_rangeMin
 
int ptRes_nbin
 
double ptRes_rangeMax
 
double ptRes_rangeMin
 
std::vector< std::string > seedingLayerSetNames
 
std::map< SeedingLayerSetId, unsigned int > seedingLayerSetToBin
 
std::unique_ptr< TrackingParticleSelectorTpSelectorForEfficiencyVsEta
 
std::unique_ptr< TrackingParticleSelectorTpSelectorForEfficiencyVsPhi
 
std::unique_ptr< TrackingParticleSelectorTpSelectorForEfficiencyVsPt
 
std::unique_ptr< TrackingParticleSelectorTpSelectorForEfficiencyVsVTXR
 
std::unique_ptr< TrackingParticleSelectorTpSelectorForEfficiencyVsVTXZ
 
std::unique_ptr< RecoTrackSelectorBasetrackSelectorVsEta
 
std::unique_ptr< RecoTrackSelectorBasetrackSelectorVsPhi
 
std::unique_ptr< RecoTrackSelectorBasetrackSelectorVsPt
 
bool useFabsEta
 
bool useInvPt
 
bool useLogPt
 
bool useLogVertpos
 

Detailed Description

Definition at line 141 of file MTVHistoProducerAlgoForTracker.h.

Member Typedef Documentation

◆ DQMStore

Definition at line 143 of file MTVHistoProducerAlgoForTracker.h.

◆ Histograms

Definition at line 151 of file MTVHistoProducerAlgoForTracker.h.

◆ SeedingLayerId

Definition at line 363 of file MTVHistoProducerAlgoForTracker.h.

◆ SeedingLayerSetId

Definition at line 364 of file MTVHistoProducerAlgoForTracker.h.

Constructor & Destructor Documentation

◆ MTVHistoProducerAlgoForTracker()

MTVHistoProducerAlgoForTracker::MTVHistoProducerAlgoForTracker ( const edm::ParameterSet pset,
const bool  doSeedPlots 
)

Definition at line 141 of file MTVHistoProducerAlgoForTracker.cc.

References cotThetaRes_nbin, cotThetaRes_rangeMax, cotThetaRes_rangeMin, dxyDzZoom, dxyRes_nbin, dxyRes_rangeMax, dxyRes_rangeMin, dzRes_nbin, dzRes_rangeMax, dzRes_rangeMin, Exception, generalGpSelector, generalTpSelector, GpSelectorForEfficiencyVsEta, GpSelectorForEfficiencyVsPhi, GpSelectorForEfficiencyVsPt, GpSelectorForEfficiencyVsVTXR, GpSelectorForEfficiencyVsVTXZ, mps_fire::i, GeomDetEnumerators::isTrackerStrip(), dqmiolumiharvest::j, SeedingLayerSetsBuilder::layerNamesInSets(), reco::modules::make(), makeRecoTrackSelectorFromTPSelectorParameters(), maxChi2, maxDeDx, maxdr, maxdrj, maxDxy, maxDz, maxDzpvCum, maxEta, maxHit, maxLayers, maxMVA, maxPhi, maxPt, maxPu, maxPVz, maxTracks, maxVertcount, maxVertpos, maxZpos, minChi2, minDeDx, mindr, mindrj, minDxy, minDz, minEta, minHit, minLayers, minMVA, minPhi, minPt, minPu, minPVz, minTracks, minVertcount, minVertpos, minZpos, Skims_PA_cff::name, SeedingLayerSetsBuilder::nameToEnumId(), nintChi2, nintDeDx, nintdr, nintdrj, nintDxy, nintDz, nintDzpvCum, nintEta, nintHit, nintLayers, nintMVA, nintPhi, nintPt, nintPu, nintPVz, nintTracks, nintVertcount, nintVertpos, nintZpos, phiRes_nbin, phiRes_rangeMax, phiRes_rangeMin, muonDTDigis_cfi::pset, ptRes_nbin, ptRes_rangeMax, ptRes_rangeMin, seedingLayerSetNames, seedingLayerSetToBin, EgammaValidation_Wenu_cff::sel, TpSelectorForEfficiencyVsEta, TpSelectorForEfficiencyVsPhi, TpSelectorForEfficiencyVsPt, TpSelectorForEfficiencyVsVTXR, TpSelectorForEfficiencyVsVTXZ, trackSelectorVsEta, trackSelectorVsPhi, trackSelectorVsPt, useFabsEta, useInvPt, useLogPt, useLogVertpos, and relativeConstraints::value.

143  doMTDPlots_(pset.getUntrackedParameter<bool>("doMTDPlots")),
144  doDzPVcutPlots_(pset.getUntrackedParameter<bool>("doDzPVcutPlots")) {
145  //parameters for _vs_eta plots
146  minEta = pset.getParameter<double>("minEta");
147  maxEta = pset.getParameter<double>("maxEta");
148  nintEta = pset.getParameter<int>("nintEta");
149  useFabsEta = pset.getParameter<bool>("useFabsEta");
150 
151  //parameters for _vs_pt plots
152  minPt = pset.getParameter<double>("minPt");
153  maxPt = pset.getParameter<double>("maxPt");
154  nintPt = pset.getParameter<int>("nintPt");
155  useInvPt = pset.getParameter<bool>("useInvPt");
156  useLogPt = pset.getUntrackedParameter<bool>("useLogPt", false);
157 
158  //parameters for _vs_Hit plots
159  minHit = pset.getParameter<double>("minHit");
160  maxHit = pset.getParameter<double>("maxHit");
161  nintHit = pset.getParameter<int>("nintHit");
162 
163  //parameters for _vs_Pu plots
164  minPu = pset.getParameter<double>("minPu");
165  maxPu = pset.getParameter<double>("maxPu");
166  nintPu = pset.getParameter<int>("nintPu");
167 
168  //parameters for _vs_Layer plots
169  minLayers = pset.getParameter<double>("minLayers");
170  maxLayers = pset.getParameter<double>("maxLayers");
171  nintLayers = pset.getParameter<int>("nintLayers");
172 
173  //parameters for _vs_phi plots
174  minPhi = pset.getParameter<double>("minPhi");
175  maxPhi = pset.getParameter<double>("maxPhi");
176  nintPhi = pset.getParameter<int>("nintPhi");
177 
178  //parameters for _vs_Dxy plots
179  minDxy = pset.getParameter<double>("minDxy");
180  maxDxy = pset.getParameter<double>("maxDxy");
181  nintDxy = pset.getParameter<int>("nintDxy");
182 
183  //parameters for _vs_Dz plots
184  minDz = pset.getParameter<double>("minDz");
185  maxDz = pset.getParameter<double>("maxDz");
186  nintDz = pset.getParameter<int>("nintDz");
187 
188  dxyDzZoom = pset.getParameter<double>("dxyDzZoom");
189 
190  //parameters for _vs_ProductionVertexTransvPosition plots
191  minVertpos = pset.getParameter<double>("minVertpos");
192  maxVertpos = pset.getParameter<double>("maxVertpos");
193  nintVertpos = pset.getParameter<int>("nintVertpos");
194  useLogVertpos = pset.getUntrackedParameter<bool>("useLogVertpos");
195 
196  //parameters for _vs_ProductionVertexZPosition plots
197  minZpos = pset.getParameter<double>("minZpos");
198  maxZpos = pset.getParameter<double>("maxZpos");
199  nintZpos = pset.getParameter<int>("nintZpos");
200 
201  //parameters for _vs_dR plots
202  mindr = pset.getParameter<double>("mindr");
203  maxdr = pset.getParameter<double>("maxdr");
204  nintdr = pset.getParameter<int>("nintdr");
205 
206  //parameters for _vs_dR_jet plots
207  mindrj = pset.getParameter<double>("mindrj");
208  maxdrj = pset.getParameter<double>("maxdrj");
209  nintdrj = pset.getParameter<int>("nintdrj");
210 
211  // paramers for _vs_chi2 plots
212  minChi2 = pset.getParameter<double>("minChi2");
213  maxChi2 = pset.getParameter<double>("maxChi2");
214  nintChi2 = pset.getParameter<int>("nintChi2");
215 
216  //parameters for dE/dx plots
217  minDeDx = pset.getParameter<double>("minDeDx");
218  maxDeDx = pset.getParameter<double>("maxDeDx");
219  nintDeDx = pset.getParameter<int>("nintDeDx");
220 
221  //parameters for Pileup plots
222  minVertcount = pset.getParameter<double>("minVertcount");
223  maxVertcount = pset.getParameter<double>("maxVertcount");
224  nintVertcount = pset.getParameter<int>("nintVertcount");
225 
226  //parameters for number of tracks plots
227  minTracks = pset.getParameter<double>("minTracks");
228  maxTracks = pset.getParameter<double>("maxTracks");
229  nintTracks = pset.getParameter<int>("nintTracks");
230 
231  //parameters for vs. PV z plots
232  minPVz = pset.getParameter<double>("minPVz");
233  maxPVz = pset.getParameter<double>("maxPVz");
234  nintPVz = pset.getParameter<int>("nintPVz");
235 
236  //parameters for vs. MVA plots
237  minMVA = pset.getParameter<double>("minMVA");
238  maxMVA = pset.getParameter<double>("maxMVA");
239  nintMVA = pset.getParameter<int>("nintMVA");
240 
241  //parameters for resolution plots
242  ptRes_rangeMin = pset.getParameter<double>("ptRes_rangeMin");
243  ptRes_rangeMax = pset.getParameter<double>("ptRes_rangeMax");
244  ptRes_nbin = pset.getParameter<int>("ptRes_nbin");
245 
246  phiRes_rangeMin = pset.getParameter<double>("phiRes_rangeMin");
247  phiRes_rangeMax = pset.getParameter<double>("phiRes_rangeMax");
248  phiRes_nbin = pset.getParameter<int>("phiRes_nbin");
249 
250  cotThetaRes_rangeMin = pset.getParameter<double>("cotThetaRes_rangeMin");
251  cotThetaRes_rangeMax = pset.getParameter<double>("cotThetaRes_rangeMax");
252  cotThetaRes_nbin = pset.getParameter<int>("cotThetaRes_nbin");
253 
254  dxyRes_rangeMin = pset.getParameter<double>("dxyRes_rangeMin");
255  dxyRes_rangeMax = pset.getParameter<double>("dxyRes_rangeMax");
256  dxyRes_nbin = pset.getParameter<int>("dxyRes_nbin");
257 
258  dzRes_rangeMin = pset.getParameter<double>("dzRes_rangeMin");
259  dzRes_rangeMax = pset.getParameter<double>("dzRes_rangeMax");
260  dzRes_nbin = pset.getParameter<int>("dzRes_nbin");
261 
262  maxDzpvCum = pset.getParameter<double>("maxDzpvCumulative");
263  nintDzpvCum = pset.getParameter<int>("nintDzpvCumulative");
264 
265  //--- tracking particle selectors for efficiency measurements
266  using namespace edm;
267  using namespace reco::modules;
268  auto initTPselector = [&](auto& sel, auto& name) {
269  sel = std::make_unique<TrackingParticleSelector>(
271  };
272  auto initTrackSelector = [&](auto& sel, auto& name) {
274  };
275  auto initGPselector = [&](auto& sel, auto& name) {
276  sel = std::make_unique<GenParticleCustomSelector>(
278  };
279 
280  initTPselector(generalTpSelector, "generalTpSelector");
281  initTPselector(TpSelectorForEfficiencyVsEta, "TpSelectorForEfficiencyVsEta");
282  initTPselector(TpSelectorForEfficiencyVsPhi, "TpSelectorForEfficiencyVsPhi");
283  initTPselector(TpSelectorForEfficiencyVsPt, "TpSelectorForEfficiencyVsPt");
284  initTPselector(TpSelectorForEfficiencyVsVTXR, "TpSelectorForEfficiencyVsVTXR");
285  initTPselector(TpSelectorForEfficiencyVsVTXZ, "TpSelectorForEfficiencyVsVTXZ");
286 
287  initTrackSelector(trackSelectorVsEta, "TpSelectorForEfficiencyVsEta");
288  initTrackSelector(trackSelectorVsPhi, "TpSelectorForEfficiencyVsPhi");
289  initTrackSelector(trackSelectorVsPt, "TpSelectorForEfficiencyVsPt");
290 
291  initGPselector(generalGpSelector, "generalGpSelector");
292  initGPselector(GpSelectorForEfficiencyVsEta, "GpSelectorForEfficiencyVsEta");
293  initGPselector(GpSelectorForEfficiencyVsPhi, "GpSelectorForEfficiencyVsPhi");
294  initGPselector(GpSelectorForEfficiencyVsPt, "GpSelectorForEfficiencyVsPt");
295  initGPselector(GpSelectorForEfficiencyVsVTXR, "GpSelectorForEfficiencyVsVTXR");
296  initGPselector(GpSelectorForEfficiencyVsVTXZ, "GpSelectorForEfficiencyVsVTXZ");
297 
298  // SeedingLayerSets
299  // If enabled, use last bin to denote other or unknown cases
300  seedingLayerSetNames = pset.getParameter<std::vector<std::string>>("seedingLayerSets");
301  std::vector<std::pair<SeedingLayerSetId, std::string>> stripPairSets;
302  if (!seedingLayerSetNames.empty()) {
303  std::vector<std::vector<std::string>> layerSets = SeedingLayerSetsBuilder::layerNamesInSets(seedingLayerSetNames);
304  for (size_t i = 0; i < layerSets.size(); ++i) {
305  const auto& layerSet = layerSets[i];
306  if (layerSet.size() > std::tuple_size<SeedingLayerSetId>::value) {
307  throw cms::Exception("Configuration")
308  << "Got seedingLayerSet " << seedingLayerSetNames[i] << " with " << layerSet.size()
309  << " elements, but I have a hard-coded maximum of " << std::tuple_size<SeedingLayerSetId>::value
310  << ". Please increase the maximum in MTVHistoProducerAlgoForTracker.h";
311  }
312  SeedingLayerSetId setId;
313  for (size_t j = 0; j < layerSet.size(); ++j) {
314  // SeedingLayerSetsBuilder::fillDescriptions() kind-of
315  // suggests that the 'M' prefix stands for strip mono hits
316  // (maybe it should force), so making the assumption here is
317  // (still) a bit ugly. But, this is the easiest way.
318  bool isStripMono = !layerSet[j].empty() && layerSet[j][0] == 'M';
319  setId[j] = std::make_tuple(SeedingLayerSetsBuilder::nameToEnumId(layerSet[j]), isStripMono);
320  }
321  // Account for the fact that strip triplet seeding may give pairs
322  if (layerSet.size() == 3 && isTrackerStrip(std::get<GeomDetEnumerators::SubDetector>(std::get<0>(setId[0])))) {
323  SeedingLayerSetId pairId;
324  pairId[0] = setId[0];
325  pairId[1] = setId[1];
326  stripPairSets.emplace_back(pairId, layerSet[0] + "+" + layerSet[1]);
327  }
328 
329  auto inserted = seedingLayerSetToBin.insert(std::make_pair(setId, i));
330  if (!inserted.second)
331  throw cms::Exception("Configuration") << "SeedingLayerSet " << seedingLayerSetNames[i]
332  << " is specified twice, while the set list should be unique.";
333  }
334 
335  // Add the "strip pairs from strip triplets" if they don't otherwise exist
336  for (const auto& setIdName : stripPairSets) {
337  auto inserted = seedingLayerSetToBin.insert(std::make_pair(setIdName.first, seedingLayerSetNames.size()));
338  if (inserted.second)
339  seedingLayerSetNames.push_back(setIdName.second);
340  }
341 
342  seedingLayerSetNames.emplace_back("Other/Unknown");
343  }
344 
345  // fix for the LogScale by Ryan
346  if (useLogPt) {
347  maxPt = log10(maxPt);
348  if (minPt > 0) {
349  minPt = log10(minPt);
350  } else {
351  edm::LogWarning("MultiTrackValidator")
352  << "minPt = " << minPt << " <= 0 out of range while requesting log scale. Using minPt = 0.1.";
353  minPt = log10(0.1);
354  }
355  }
356  if (useLogVertpos) {
357  maxVertpos = std::log10(maxVertpos);
358  if (minVertpos > 0) {
359  minVertpos = std::log10(minVertpos);
360  } else {
361  edm::LogWarning("MultiTrackValidator")
362  << "minVertpos = " << minVertpos << " <= 0 out of range while requesting log scale. Using minVertpos = 0.1.";
363  minVertpos = -1;
364  }
365  }
366 }
std::unique_ptr< TrackingParticleSelector > TpSelectorForEfficiencyVsPt
std::unique_ptr< TrackingParticleSelector > TpSelectorForEfficiencyVsEta
std::unique_ptr< GenParticleCustomSelector > GpSelectorForEfficiencyVsVTXR
std::unique_ptr< TrackingParticleSelector > TpSelectorForEfficiencyVsVTXR
std::map< SeedingLayerSetId, unsigned int > seedingLayerSetToBin
S make(const edm::ParameterSet &cfg)
std::unique_ptr< GenParticleCustomSelector > GpSelectorForEfficiencyVsVTXZ
std::unique_ptr< GenParticleCustomSelector > GpSelectorForEfficiencyVsPt
std::unique_ptr< RecoTrackSelectorBase > trackSelectorVsPhi
std::unique_ptr< GenParticleCustomSelector > GpSelectorForEfficiencyVsPhi
std::unique_ptr< GenParticleCustomSelector > GpSelectorForEfficiencyVsEta
std::unique_ptr< TrackingParticleSelector > generalTpSelector
std::unique_ptr< RecoTrackSelectorBase > trackSelectorVsPt
bool isTrackerStrip(GeomDetEnumerators::SubDetector m)
static SeedingLayerId nameToEnumId(const std::string &name)
std::array< SeedingLayerId, 4 > SeedingLayerSetId
std::unique_ptr< TrackingParticleSelector > TpSelectorForEfficiencyVsPhi
std::unique_ptr< TrackingParticleSelector > TpSelectorForEfficiencyVsVTXZ
std::vector< std::string > seedingLayerSetNames
HLT enums.
std::unique_ptr< GenParticleCustomSelector > generalGpSelector
Log< level::Warning, false > LogWarning
std::unique_ptr< RecoTrackSelectorBase > trackSelectorVsEta
static std::unique_ptr< RecoTrackSelectorBase > makeRecoTrackSelectorFromTPSelectorParameters(const edm::ParameterSet &pset)
static std::vector< std::vector< std::string > > layerNamesInSets(const std::vector< std::string > &namesPSet)

◆ ~MTVHistoProducerAlgoForTracker()

MTVHistoProducerAlgoForTracker::~MTVHistoProducerAlgoForTracker ( )

Definition at line 368 of file MTVHistoProducerAlgoForTracker.cc.

368 {}

Member Function Documentation

◆ bookMVAHistos()

void MTVHistoProducerAlgoForTracker::bookMVAHistos ( DQMStore::IBooker ibook,
Histograms histograms,
size_t  nMVAs 
)

Definition at line 1524 of file MTVHistoProducerAlgoForTracker.cc.

References dqm::implementation::IBooker::book1D(), dqm::implementation::IBooker::bookProfile(), mps_fire::i, maxEta, maxMVA, maxPt, minEta, minMVA, minPt, nintEta, nintMVA, nintPt, AlCaHLTBitMon_QueryRunRegistry::string, to_string(), and useLogPt.

1524  {
1525  histograms.h_reco_mva.emplace_back();
1526  histograms.h_assoc2_mva.emplace_back();
1527 
1528  histograms.h_reco_mvacut.emplace_back();
1529  histograms.h_assoc_mvacut.emplace_back();
1530  histograms.h_assoc2_mvacut.emplace_back();
1531  histograms.h_simul2_mvacut.emplace_back();
1532 
1533  histograms.h_reco_mva_hp.emplace_back();
1534  histograms.h_assoc2_mva_hp.emplace_back();
1535 
1536  histograms.h_reco_mvacut_hp.emplace_back();
1537  histograms.h_assoc_mvacut_hp.emplace_back();
1538  histograms.h_assoc2_mvacut_hp.emplace_back();
1539  histograms.h_simul2_mvacut_hp.emplace_back();
1540 
1541  histograms.h_assoc2_mva_vs_pt.emplace_back();
1542  histograms.h_fake_mva_vs_pt.emplace_back();
1543  histograms.h_assoc2_mva_vs_pt_hp.emplace_back();
1544  histograms.h_fake_mva_vs_pt_hp.emplace_back();
1545  histograms.h_assoc2_mva_vs_eta.emplace_back();
1546  histograms.h_fake_mva_vs_eta.emplace_back();
1547  histograms.h_assoc2_mva_vs_eta_hp.emplace_back();
1548  histograms.h_fake_mva_vs_eta_hp.emplace_back();
1549 
1550  for (size_t i = 1; i <= nMVAs; ++i) {
1551  auto istr = std::to_string(i);
1552  std::string pfix;
1553 
1554  if (i == 1) {
1555  histograms.h_reco_mva_hp.back().emplace_back();
1556  histograms.h_assoc2_mva_hp.back().emplace_back();
1557 
1558  histograms.h_reco_mvacut_hp.back().emplace_back();
1559  histograms.h_assoc_mvacut_hp.back().emplace_back();
1560  histograms.h_assoc2_mvacut_hp.back().emplace_back();
1561  histograms.h_simul2_mvacut_hp.back().emplace_back();
1562 
1563  histograms.h_assoc2_mva_vs_pt_hp.back().emplace_back();
1564  histograms.h_fake_mva_vs_pt_hp.back().emplace_back();
1565  histograms.h_assoc2_mva_vs_eta_hp.back().emplace_back();
1566  histograms.h_fake_mva_vs_eta_hp.back().emplace_back();
1567  } else {
1568  pfix = " (not loose-selected)";
1569  std::string pfix2 = " (not HP-selected)";
1570 
1571  histograms.h_reco_mva_hp.back().push_back(ibook.book1D(
1572  "num_reco_mva" + istr + "_hp", "N of reco track after vs MVA" + istr + pfix2, nintMVA, minMVA, maxMVA));
1573  histograms.h_assoc2_mva_hp.back().push_back(
1574  ibook.book1D("num_assoc(recoToSim)_mva" + istr + "_hp",
1575  "N of associated tracks (recoToSim) vs MVA" + istr + pfix2,
1576  nintMVA,
1577  minMVA,
1578  maxMVA));
1579 
1580  histograms.h_reco_mvacut_hp.back().push_back(ibook.book1D("num_reco_mva" + istr + "cut" + "_hp",
1581  "N of reco track vs cut on MVA" + istr + pfix2,
1582  nintMVA,
1583  minMVA,
1584  maxMVA));
1585  histograms.h_assoc_mvacut_hp.back().push_back(
1586  ibook.book1D("num_assoc(simToReco)_mva" + istr + "cut_hp",
1587  "N of associated tracks (simToReco) vs cut on MVA" + istr + pfix2,
1588  nintMVA,
1589  minMVA,
1590  maxMVA));
1591  histograms.h_assoc2_mvacut_hp.back().push_back(
1592  ibook.book1D("num_assoc(recoToSim)_mva" + istr + "cut_hp",
1593  "N of associated tracks (recoToSim) vs cut on MVA" + istr + pfix2,
1594  nintMVA,
1595  minMVA,
1596  maxMVA));
1597  histograms.h_simul2_mvacut_hp.back().push_back(
1598  ibook.book1D("num_simul2_mva" + istr + "cut_hp",
1599  "N of simulated tracks (associated to any track) vs cut on MVA" + istr + pfix2,
1600  nintMVA,
1601  minMVA,
1602  maxMVA));
1603 
1604  histograms.h_assoc2_mva_vs_pt_hp.back().push_back(
1605  makeProfileIfLogX(ibook,
1606  useLogPt,
1607  ("mva_assoc(recoToSim)_mva" + istr + "_pT_hp").c_str(),
1608  ("MVA" + istr + " of associated tracks (recoToSim) vs. track p_{T}" + pfix2).c_str(),
1609  nintPt,
1610  minPt,
1611  maxPt,
1612  minMVA,
1613  maxMVA));
1614  histograms.h_fake_mva_vs_pt_hp.back().push_back(
1615  makeProfileIfLogX(ibook,
1616  useLogPt,
1617  ("mva_fake_mva" + istr + "pT_hp").c_str(),
1618  ("MVA" + istr + " of non-associated tracks (recoToSim) vs. track p_{T}" + pfix2).c_str(),
1619  nintPt,
1620  minPt,
1621  maxPt,
1622  minMVA,
1623  maxMVA));
1624  histograms.h_assoc2_mva_vs_eta_hp.back().push_back(
1625  ibook.bookProfile("mva_assoc(recoToSim)_mva" + istr + "_eta_hp",
1626  "MVA" + istr + " of associated tracks (recoToSim) vs. track #eta" + pfix2,
1627  nintEta,
1628  minEta,
1629  maxEta,
1630  nintMVA,
1631  minMVA,
1632  maxMVA));
1633  histograms.h_fake_mva_vs_eta_hp.back().push_back(
1634  ibook.bookProfile("mva_fake_mva" + istr + "eta_hp",
1635  "MVA" + istr + " of non-associated tracks (recoToSim) vs. track #eta" + pfix2,
1636  nintEta,
1637  minEta,
1638  maxEta,
1639  nintMVA,
1640  minMVA,
1641  maxMVA));
1642  }
1643 
1644  histograms.h_reco_mva.back().push_back(
1645  ibook.book1D("num_reco_mva" + istr, "N of reco track vs MVA" + istr + pfix, nintMVA, minMVA, maxMVA));
1646  histograms.h_assoc2_mva.back().push_back(ibook.book1D("num_assoc(recoToSim)_mva" + istr,
1647  "N of associated tracks (recoToSim) vs MVA" + istr + pfix,
1648  nintMVA,
1649  minMVA,
1650  maxMVA));
1651 
1652  histograms.h_reco_mvacut.back().push_back(ibook.book1D(
1653  "num_reco_mva" + istr + "cut", "N of reco track vs cut on MVA" + istr + pfix, nintMVA, minMVA, maxMVA));
1654  histograms.h_assoc_mvacut.back().push_back(
1655  ibook.book1D("num_assoc(simToReco)_mva" + istr + "cut",
1656  "N of associated tracks (simToReco) vs cut on MVA" + istr + pfix,
1657  nintMVA,
1658  minMVA,
1659  maxMVA));
1660  histograms.h_assoc2_mvacut.back().push_back(
1661  ibook.book1D("num_assoc(recoToSim)_mva" + istr + "cut",
1662  "N of associated tracks (recoToSim) vs cut on MVA" + istr + pfix,
1663  nintMVA,
1664  minMVA,
1665  maxMVA));
1666  histograms.h_simul2_mvacut.back().push_back(
1667  ibook.book1D("num_simul2_mva" + istr + "cut",
1668  "N of simulated tracks (associated to any track) vs cut on MVA" + istr + pfix,
1669  nintMVA,
1670  minMVA,
1671  maxMVA));
1672 
1673  histograms.h_assoc2_mva_vs_pt.back().push_back(
1674  makeProfileIfLogX(ibook,
1675  useLogPt,
1676  ("mva_assoc(recoToSim)_mva" + istr + "_pT").c_str(),
1677  ("MVA" + istr + " of associated tracks (recoToSim) vs. track p_{T}" + pfix).c_str(),
1678  nintPt,
1679  minPt,
1680  maxPt,
1681  minMVA,
1682  maxMVA));
1683  histograms.h_fake_mva_vs_pt.back().push_back(
1684  makeProfileIfLogX(ibook,
1685  useLogPt,
1686  ("mva_fake_mva" + istr + "_pT").c_str(),
1687  ("MVA" + istr + " of non-associated tracks (recoToSim) vs. track p_{T}" + pfix).c_str(),
1688  nintPt,
1689  minPt,
1690  maxPt,
1691  minMVA,
1692  maxMVA));
1693  histograms.h_assoc2_mva_vs_eta.back().push_back(
1694  ibook.bookProfile("mva_assoc(recoToSim)_mva" + istr + "_eta",
1695  "MVA" + istr + " of associated tracks (recoToSim) vs. track #eta" + pfix,
1696  nintEta,
1697  minEta,
1698  maxEta,
1699  nintMVA,
1700  minMVA,
1701  maxMVA));
1702  histograms.h_fake_mva_vs_eta.back().push_back(
1703  ibook.bookProfile("mva_fake_mva" + istr + "_eta",
1704  "MVA" + istr + " of non-associated tracks (recoToSim) vs. track #eta" + pfix,
1705  nintEta,
1706  minEta,
1707  maxEta,
1708  nintMVA,
1709  minMVA,
1710  maxMVA));
1711  }
1712 }
static std::string to_string(const XMLCh *ch)
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:399
MonitorElement * book1D(TString const &name, TString const &title, int const nchX, double const lowX, double const highX, FUNC onbooking=NOOP())
Definition: DQMStore.h:98

◆ bookRecodEdxHistos()

void MTVHistoProducerAlgoForTracker::bookRecodEdxHistos ( DQMStore::IBooker ibook,
Histograms histograms 
)

Definition at line 1496 of file MTVHistoProducerAlgoForTracker.cc.

References dqm::implementation::IBooker::book1D(), maxDeDx, maxHit, minDeDx, minHit, nintDeDx, and nintHit.

1496  {
1497  // dE/dx stuff
1498  histograms.h_dedx_estim.emplace_back();
1499  histograms.h_dedx_estim.back().push_back(
1500  ibook.book1D("h_dedx_estim1", "dE/dx estimator 1", nintDeDx, minDeDx, maxDeDx));
1501  histograms.h_dedx_estim.back().push_back(
1502  ibook.book1D("h_dedx_estim2", "dE/dx estimator 2", nintDeDx, minDeDx, maxDeDx));
1503 
1504  histograms.h_dedx_nom.emplace_back();
1505  histograms.h_dedx_nom.back().push_back(
1506  ibook.book1D("h_dedx_nom1", "dE/dx number of measurements", nintHit, minHit, maxHit));
1507  histograms.h_dedx_nom.back().push_back(
1508  ibook.book1D("h_dedx_nom2", "dE/dx number of measurements", nintHit, minHit, maxHit));
1509 
1510  histograms.h_dedx_sat.emplace_back();
1511  histograms.h_dedx_sat.back().push_back(
1512  ibook.book1D("h_dedx_sat1", "dE/dx number of measurements with saturation", nintHit, minHit, maxHit));
1513  histograms.h_dedx_sat.back().push_back(
1514  ibook.book1D("h_dedx_sat2", "dE/dx number of measurements with saturation", nintHit, minHit, maxHit));
1515 }
MonitorElement * book1D(TString const &name, TString const &title, int const nchX, double const lowX, double const highX, FUNC onbooking=NOOP())
Definition: DQMStore.h:98

◆ bookRecoHistos()

void MTVHistoProducerAlgoForTracker::bookRecoHistos ( DQMStore::IBooker ibook,
Histograms histograms,
bool  doResolutionPlots 
)

these are needed to calculate efficiency during the harvesting for the automated validation

Definition at line 592 of file MTVHistoProducerAlgoForTracker.cc.

References reco::TrackBase::algoNames, reco::TrackBase::algoSize, dqm::implementation::IBooker::book1D(), dqm::implementation::IBooker::bookProfile(), dqm::implementation::IBooker::bookProfile2D(), cotThetaRes_nbin, cotThetaRes_rangeMax, cotThetaRes_rangeMin, doMTDPlots_, doSeedPlots_, dxyRes_nbin, dxyRes_rangeMax, dxyRes_rangeMin, dzRes_nbin, dzRes_rangeMax, dzRes_rangeMin, maxChi2, maxdr, maxdrj, maxDxy, maxDz, maxEta, maxHit, maxLayers, maxPhi, maxPt, maxPu, maxPVz, maxTracks, maxVertpos, maxZpos, minChi2, mindr, mindrj, minDxy, minDz, minEta, minHit, minLayers, minPhi, minPt, minPu, minPVz, minTracks, minVertpos, minZpos, nintChi2, nintdr, nintdrj, nintDxy, nintDz, nintEta, nintHit, nintLayers, nintPhi, nintPt, nintPu, nintPVz, nintTracks, nintVertpos, nintZpos, submitPVValidationJobs::params, phiRes_nbin, phiRes_rangeMax, phiRes_rangeMin, ptRes_nbin, ptRes_rangeMax, ptRes_rangeMin, seedingLayerSetNames, HcalObjRepresent::setBinLabels(), findQualityFiles::size, useLogPt, and useLogVertpos.

594  {
595  histograms.h_tracks.push_back(
596  ibook.book1D("tracks", "number of reconstructed tracks", nintTracks, minTracks, maxTracks));
597  histograms.h_fakes.push_back(ibook.book1D("fakes", "number of fake reco tracks", nintTracks, minTracks, maxTracks));
598  histograms.h_charge.push_back(ibook.book1D("charge", "charge", 3, -1.5, 1.5));
599 
600  histograms.h_hits.push_back(ibook.book1D("hits", "number of hits per track", nintHit, minHit, maxHit));
601  histograms.h_losthits.push_back(ibook.book1D("losthits", "number of lost hits per track", nintHit, minHit, maxHit));
602  histograms.h_nchi2.push_back(ibook.book1D("chi2", "normalized #chi^{2}", 200, 0, 20));
603  histograms.h_nchi2_prob.push_back(ibook.book1D("chi2_prob", "normalized #chi^{2} probability", 100, 0, 1));
604 
605  histograms.h_nmisslayers_inner.push_back(
606  ibook.book1D("missing_inner_layers", "number of missing inner layers", nintLayers, minLayers, maxLayers));
607  histograms.h_nmisslayers_outer.push_back(
608  ibook.book1D("missing_outer_layers", "number of missing outer layers", nintLayers, minLayers, maxLayers));
609 
610  histograms.h_algo.push_back(
611  ibook.book1D("h_algo", "Tracks by algo", reco::TrackBase::algoSize, 0., double(reco::TrackBase::algoSize)));
612  for (size_t ibin = 0; ibin < reco::TrackBase::algoSize - 1; ibin++)
613  histograms.h_algo.back()->setBinLabel(ibin + 1, reco::TrackBase::algoNames[ibin]);
614  histograms.h_algo.back()->disableAlphanumeric();
615 
617  histograms.h_recoeta.push_back(ibook.book1D("num_reco_eta", "N of reco track vs eta", nintEta, minEta, maxEta));
618  histograms.h_reco2eta.push_back(
619  ibook.book1D("num_reco2_eta", "N of selected reco track vs eta", nintEta, minEta, maxEta));
620  histograms.h_assoc2eta.push_back(
621  ibook.book1D("num_assoc(recoToSim)_eta", "N of associated (recoToSim) tracks vs eta", nintEta, minEta, maxEta));
622  histograms.h_loopereta.push_back(ibook.book1D(
623  "num_duplicate_eta", "N of associated (recoToSim) duplicate tracks vs eta", nintEta, minEta, maxEta));
624  if (!doSeedPlots_)
625  histograms.h_misideta.push_back(ibook.book1D(
626  "num_chargemisid_eta", "N of associated (recoToSim) charge misIDed tracks vs eta", nintEta, minEta, maxEta));
627  histograms.h_pileupeta.push_back(
628  ibook.book1D("num_pileup_eta", "N of associated (recoToSim) pileup tracks vs eta", nintEta, minEta, maxEta));
629  //
630  histograms.h_recopT.push_back(
631  make1DIfLogX(ibook, useLogPt, "num_reco_pT", "N of reco track vs pT", nintPt, minPt, maxPt));
632  histograms.h_reco2pT.push_back(
633  make1DIfLogX(ibook, useLogPt, "num_reco2_pT", "N of selected reco track vs pT", nintPt, minPt, maxPt));
634  histograms.h_assoc2pT.push_back(make1DIfLogX(
635  ibook, useLogPt, "num_assoc(recoToSim)_pT", "N of associated (recoToSim) tracks vs pT", nintPt, minPt, maxPt));
636  histograms.h_looperpT.push_back(make1DIfLogX(
637  ibook, useLogPt, "num_duplicate_pT", "N of associated (recoToSim) duplicate tracks vs pT", nintPt, minPt, maxPt));
638  if (!doSeedPlots_)
639  histograms.h_misidpT.push_back(make1DIfLogX(ibook,
640  useLogPt,
641  "num_chargemisid_pT",
642  "N of associated (recoToSim) charge misIDed tracks vs pT",
643  nintPt,
644  minPt,
645  maxPt));
646  histograms.h_pileuppT.push_back(make1DIfLogX(
647  ibook, useLogPt, "num_pileup_pT", "N of associated (recoToSim) pileup tracks vs pT", nintPt, minPt, maxPt));
648  //
649  histograms.h_recopTvseta.push_back(make2DIfLogY(ibook,
650  useLogPt,
651  "num_reco_pTvseta",
652  "N of reco track in (pT-eta) plane",
653  nintEta,
654  minEta,
655  maxEta,
656  nintPt,
657  minPt,
658  maxPt));
659  histograms.h_reco2pTvseta.push_back(make2DIfLogY(ibook,
660  useLogPt,
661  "num_reco2_pTvseta",
662  "N of selected reco track in (pT-eta) plane",
663  nintEta,
664  minEta,
665  maxEta,
666  nintPt,
667  minPt,
668  maxPt));
669  histograms.h_assoc2pTvseta.push_back(make2DIfLogY(ibook,
670  useLogPt,
671  "num_assoc(recoToSim)_pTvseta",
672  "N of associated (recoToSim) tracks in (pT-eta) plane",
673  nintEta,
674  minEta,
675  maxEta,
676  nintPt,
677  minPt,
678  maxPt));
679  histograms.h_looperpTvseta.push_back(make2DIfLogY(ibook,
680  useLogPt,
681  "num_duplicate_pTvseta",
682  "N of associated (recoToSim) duplicate tracks in (pT-eta) plane",
683  nintEta,
684  minEta,
685  maxEta,
686  nintPt,
687  minPt,
688  maxPt));
689  if (!doSeedPlots_)
690  histograms.h_misidpTvseta.push_back(
691  make2DIfLogY(ibook,
692  useLogPt,
693  "num_chargemisid_pTvseta",
694  "N of associated (recoToSim) charge misIDed tracks in (pT-eta) plane",
695  nintEta,
696  minEta,
697  maxEta,
698  nintPt,
699  minPt,
700  maxPt));
701  histograms.h_pileuppTvseta.push_back(make2DIfLogY(ibook,
702  useLogPt,
703  "num_pileup_pTvseta",
704  "N of associated (recoToSim) pileup tracks in (pT-eta) plane",
705  nintEta,
706  minEta,
707  maxEta,
708  nintPt,
709  minPt,
710  maxPt));
711  //
712  histograms.h_recohit.push_back(ibook.book1D("num_reco_hit", "N of reco track vs hit", nintHit, minHit, maxHit));
713  histograms.h_assoc2hit.push_back(
714  ibook.book1D("num_assoc(recoToSim)_hit", "N of associated (recoToSim) tracks vs hit", nintHit, minHit, maxHit));
715  histograms.h_looperhit.push_back(ibook.book1D(
716  "num_duplicate_hit", "N of associated (recoToSim) duplicate tracks vs hit", nintHit, minHit, maxHit));
717  if (!doSeedPlots_)
718  histograms.h_misidhit.push_back(ibook.book1D(
719  "num_chargemisid_hit", "N of associated (recoToSim) charge misIDed tracks vs hit", nintHit, minHit, maxHit));
720  histograms.h_pileuphit.push_back(
721  ibook.book1D("num_pileup_hit", "N of associated (recoToSim) pileup tracks vs hit", nintHit, minHit, maxHit));
722  //
723  histograms.h_recolayer.push_back(
724  ibook.book1D("num_reco_layer", "N of reco track vs layer", nintLayers, minLayers, maxLayers));
725  histograms.h_assoc2layer.push_back(ibook.book1D(
726  "num_assoc(recoToSim)_layer", "N of associated (recoToSim) tracks vs layer", nintLayers, minLayers, maxLayers));
727  histograms.h_looperlayer.push_back(ibook.book1D(
728  "num_duplicate_layer", "N of associated (recoToSim) duplicate tracks vs layer", nintLayers, minLayers, maxLayers));
729  if (!doSeedPlots_)
730  histograms.h_misidlayer.push_back(ibook.book1D("num_chargemisid_layer",
731  "N of associated (recoToSim) charge misIDed tracks vs layer",
732  nintLayers,
733  minLayers,
734  maxLayers));
735  histograms.h_pileuplayer.push_back(ibook.book1D(
736  "num_pileup_layer", "N of associated (recoToSim) pileup tracks vs layer", nintLayers, minLayers, maxLayers));
737  //
738  histograms.h_recopixellayer.push_back(
739  ibook.book1D("num_reco_pixellayer", "N of reco track vs pixellayer", nintLayers, minLayers, maxLayers));
740  histograms.h_assoc2pixellayer.push_back(ibook.book1D("num_assoc(recoToSim)_pixellayer",
741  "N of associated (recoToSim) tracks vs pixellayer",
742  nintLayers,
743  minLayers,
744  maxLayers));
745  histograms.h_looperpixellayer.push_back(ibook.book1D("num_duplicate_pixellayer",
746  "N of associated (recoToSim) duplicate tracks vs pixellayer",
747  nintLayers,
748  minLayers,
749  maxLayers));
750  if (!doSeedPlots_)
751  histograms.h_misidpixellayer.push_back(
752  ibook.book1D("num_chargemisid_pixellayer",
753  "N of associated (recoToSim) charge misIDed tracks vs pixellayer",
754  nintLayers,
755  minLayers,
756  maxLayers));
757  histograms.h_pileuppixellayer.push_back(ibook.book1D("num_pileup_pixellayer",
758  "N of associated (recoToSim) pileup tracks vs pixellayer",
759  nintLayers,
760  minLayers,
761  maxLayers));
762  //
763  histograms.h_reco3Dlayer.push_back(
764  ibook.book1D("num_reco_3Dlayer", "N of reco track vs 3D layer", nintLayers, minLayers, maxLayers));
765  histograms.h_assoc23Dlayer.push_back(ibook.book1D("num_assoc(recoToSim)_3Dlayer",
766  "N of associated (recoToSim) tracks vs 3D layer",
767  nintLayers,
768  minLayers,
769  maxLayers));
770  histograms.h_looper3Dlayer.push_back(ibook.book1D("num_duplicate_3Dlayer",
771  "N of associated (recoToSim) duplicate tracks vs 3D layer",
772  nintLayers,
773  minLayers,
774  maxLayers));
775  if (!doSeedPlots_)
776  histograms.h_misid3Dlayer.push_back(ibook.book1D("num_chargemisid_3Dlayer",
777  "N of associated (recoToSim) charge misIDed tracks vs 3D layer",
778  nintLayers,
779  minLayers,
780  maxLayers));
781  histograms.h_pileup3Dlayer.push_back(ibook.book1D(
782  "num_pileup_3Dlayer", "N of associated (recoToSim) pileup tracks vs 3D layer", nintLayers, minLayers, maxLayers));
783  //
784  histograms.h_recopu.push_back(ibook.book1D("num_reco_pu", "N of reco track vs pu", nintPu, minPu, maxPu));
785  histograms.h_reco2pu.push_back(ibook.book1D("num_reco2_pu", "N of selected reco track vs pu", nintPu, minPu, maxPu));
786  histograms.h_assoc2pu.push_back(
787  ibook.book1D("num_assoc(recoToSim)_pu", "N of associated (recoToSim) tracks vs pu", nintPu, minPu, maxPu));
788  histograms.h_looperpu.push_back(
789  ibook.book1D("num_duplicate_pu", "N of associated (recoToSim) duplicate tracks vs pu", nintPu, minPu, maxPu));
790  if (!doSeedPlots_)
791  histograms.h_misidpu.push_back(ibook.book1D(
792  "num_chargemisid_pu", "N of associated (recoToSim) charge misIDed tracks vs pu", nintPu, minPu, maxPu));
793  histograms.h_pileuppu.push_back(
794  ibook.book1D("num_pileup_pu", "N of associated (recoToSim) pileup tracks vs pu", nintPu, minPu, maxPu));
795  //
796  histograms.h_recophi.push_back(ibook.book1D("num_reco_phi", "N of reco track vs phi", nintPhi, minPhi, maxPhi));
797  histograms.h_assoc2phi.push_back(
798  ibook.book1D("num_assoc(recoToSim)_phi", "N of associated (recoToSim) tracks vs phi", nintPhi, minPhi, maxPhi));
799  histograms.h_looperphi.push_back(ibook.book1D(
800  "num_duplicate_phi", "N of associated (recoToSim) duplicate tracks vs phi", nintPhi, minPhi, maxPhi));
801  if (!doSeedPlots_)
802  histograms.h_misidphi.push_back(ibook.book1D(
803  "num_chargemisid_phi", "N of associated (recoToSim) charge misIDed tracks vs phi", nintPhi, minPhi, maxPhi));
804  histograms.h_pileupphi.push_back(
805  ibook.book1D("num_pileup_phi", "N of associated (recoToSim) pileup tracks vs phi", nintPhi, minPhi, maxPhi));
806 
807  histograms.h_recodxy.push_back(ibook.book1D("num_reco_dxy", "N of reco track vs dxy", nintDxy, minDxy, maxDxy));
808  histograms.h_assoc2dxy.push_back(
809  ibook.book1D("num_assoc(recoToSim)_dxy", "N of associated (recoToSim) tracks vs dxy", nintDxy, minDxy, maxDxy));
810  histograms.h_looperdxy.push_back(
811  ibook.book1D("num_duplicate_dxy", "N of associated (recoToSim) looper tracks vs dxy", nintDxy, minDxy, maxDxy));
812  if (!doSeedPlots_)
813  histograms.h_misiddxy.push_back(ibook.book1D(
814  "num_chargemisid_dxy", "N of associated (recoToSim) charge misIDed tracks vs dxy", nintDxy, minDxy, maxDxy));
815  histograms.h_pileupdxy.push_back(
816  ibook.book1D("num_pileup_dxy", "N of associated (recoToSim) pileup tracks vs dxy", nintDxy, minDxy, maxDxy));
817 
818  histograms.h_recodz.push_back(ibook.book1D("num_reco_dz", "N of reco track vs dz", nintDz, minDz, maxDz));
819  histograms.h_assoc2dz.push_back(
820  ibook.book1D("num_assoc(recoToSim)_dz", "N of associated (recoToSim) tracks vs dz", nintDz, minDz, maxDz));
821  histograms.h_looperdz.push_back(
822  ibook.book1D("num_duplicate_dz", "N of associated (recoToSim) looper tracks vs dz", nintDz, minDz, maxDz));
823  if (!doSeedPlots_)
824  histograms.h_misiddz.push_back(ibook.book1D(
825  "num_chargemisid_versus_dz", "N of associated (recoToSim) charge misIDed tracks vs dz", nintDz, minDz, maxDz));
826  histograms.h_pileupdz.push_back(
827  ibook.book1D("num_pileup_dz", "N of associated (recoToSim) pileup tracks vs dz", nintDz, minDz, maxDz));
828 
829  histograms.h_recovertpos.push_back(make1DIfLogX(ibook,
831  "num_reco_vertpos",
832  "N of reconstructed tracks vs transverse ref point position",
833  nintVertpos,
834  minVertpos,
835  maxVertpos));
836  histograms.h_assoc2vertpos.push_back(
837  make1DIfLogX(ibook,
839  "num_assoc(recoToSim)_vertpos",
840  "N of associated (recoToSim) tracks vs transverse ref point position",
841  nintVertpos,
842  minVertpos,
843  maxVertpos));
844  histograms.h_loopervertpos.push_back(
845  make1DIfLogX(ibook,
847  "num_duplicate_vertpos",
848  "N of associated (recoToSim) looper tracks vs transverse ref point position",
849  nintVertpos,
850  minVertpos,
851  maxVertpos));
852  histograms.h_pileupvertpos.push_back(
853  make1DIfLogX(ibook,
855  "num_pileup_vertpos",
856  "N of associated (recoToSim) pileup tracks vs transverse ref point position",
857  nintVertpos,
858  minVertpos,
859  maxVertpos));
860 
861  histograms.h_recozpos.push_back(ibook.book1D(
862  "num_reco_zpos", "N of reconstructed tracks vs transverse ref point position", nintZpos, minZpos, maxZpos));
863  histograms.h_assoc2zpos.push_back(ibook.book1D("num_assoc(recoToSim)_zpos",
864  "N of associated (recoToSim) tracks vs transverse ref point position",
865  nintZpos,
866  minZpos,
867  maxZpos));
868  histograms.h_looperzpos.push_back(
869  ibook.book1D("num_duplicate_zpos",
870  "N of associated (recoToSim) looper tracks vs transverse ref point position",
871  nintZpos,
872  minZpos,
873  maxZpos));
874  histograms.h_pileupzpos.push_back(
875  ibook.book1D("num_pileup_zpos",
876  "N of associated (recoToSim) pileup tracks vs transverse ref point position",
877  nintZpos,
878  minZpos,
879  maxZpos));
880 
881  histograms.h_recodr.push_back(
882  make1DIfLogX(ibook, true, "num_reco_dr", "N of reconstructed tracks vs dR", nintdr, log10(mindr), log10(maxdr)));
883  histograms.h_assoc2dr.push_back(make1DIfLogX(ibook,
884  true,
885  "num_assoc(recoToSim)_dr",
886  "N of associated tracks (recoToSim) vs dR",
887  nintdr,
888  log10(mindr),
889  log10(maxdr)));
890  histograms.h_looperdr.push_back(make1DIfLogX(ibook,
891  true,
892  "num_duplicate_dr",
893  "N of associated (recoToSim) looper tracks vs dR",
894  nintdr,
895  log10(mindr),
896  log10(maxdr)));
897  histograms.h_pileupdr.push_back(make1DIfLogX(ibook,
898  true,
899  "num_pileup_dr",
900  "N of associated (recoToSim) pileup tracks vs dR",
901  nintdr,
902  log10(mindr),
903  log10(maxdr)));
904 
905  histograms.h_recodrj.push_back(make1DIfLogX(
906  ibook, true, "num_reco_drj", "N of reconstructed tracks vs dR(track,jet)", nintdrj, log10(mindrj), log10(maxdrj)));
907  histograms.h_assoc2drj.push_back(make1DIfLogX(ibook,
908  true,
909  "num_assoc(recoToSim)_drj",
910  "N of associated tracks (recoToSim) vs dR(track,jet)",
911  nintdrj,
912  log10(mindrj),
913  log10(maxdrj)));
914  histograms.h_looperdrj.push_back(make1DIfLogX(ibook,
915  true,
916  "num_duplicate_drj",
917  "N of associated (recoToSim) looper tracks vs dR(track,jet)",
918  nintdrj,
919  log10(mindrj),
920  log10(maxdrj)));
921  histograms.h_pileupdrj.push_back(make1DIfLogX(ibook,
922  true,
923  "num_pileup_drj",
924  "N of associated (recoToSim) pileup tracks vs dR(track,jet)",
925  nintdrj,
926  log10(mindrj),
927  log10(maxdrj)));
928 
929  histograms.h_reco_simpvz.push_back(
930  ibook.book1D("num_reco_simpvz", "N of reco track vs. sim PV z", nintPVz, minPVz, maxPVz));
931  histograms.h_assoc2_simpvz.push_back(ibook.book1D(
932  "num_assoc(recoToSim)_simpvz", "N of associated tracks (recoToSim) vs. sim PV z", nintPVz, minPVz, maxPVz));
933  histograms.h_looper_simpvz.push_back(ibook.book1D(
934  "num_duplicate_simpvz", "N of associated (recoToSim) looper tracks vs. sim PV z", nintPVz, minPVz, maxPVz));
935  histograms.h_pileup_simpvz.push_back(ibook.book1D(
936  "num_pileup_simpvz", "N of associated (recoToSim) pileup tracks vs. sim PV z", nintPVz, minPVz, maxPVz));
937 
938  histograms.h_recochi2.push_back(
939  ibook.book1D("num_reco_chi2", "N of reco track vs normalized #chi^{2}", nintChi2, minChi2, maxChi2));
940  histograms.h_assoc2chi2.push_back(ibook.book1D("num_assoc(recoToSim)_chi2",
941  "N of associated (recoToSim) tracks vs normalized #chi^{2}",
942  nintChi2,
943  minChi2,
944  maxChi2));
945  histograms.h_looperchi2.push_back(ibook.book1D("num_duplicate_chi2",
946  "N of associated (recoToSim) looper tracks vs normalized #chi^{2}",
947  nintChi2,
948  minChi2,
949  maxChi2));
950  if (!doSeedPlots_)
951  histograms.h_misidchi2.push_back(
952  ibook.book1D("num_chargemisid_chi2",
953  "N of associated (recoToSim) charge misIDed tracks vs normalized #chi^{2}",
954  nintChi2,
955  minChi2,
956  maxChi2));
957  histograms.h_pileupchi2.push_back(ibook.book1D("num_pileup_chi2",
958  "N of associated (recoToSim) pileup tracks vs normalized #chi^{2}",
959  nintChi2,
960  minChi2,
961  maxChi2));
962 
963  histograms.h_recochi2prob.push_back(
964  ibook.book1D("num_reco_chi2prob", "N of reco track vs normalized #chi^{2}", 100, 0., 1.));
965  histograms.h_assoc2chi2prob.push_back(ibook.book1D(
966  "num_assoc(recoToSim)_chi2prob", "N of associated (recoToSim) tracks vs normalized #chi^{2}", 100, 0., 1.));
967  histograms.h_looperchi2prob.push_back(ibook.book1D(
968  "num_duplicate_chi2prob", "N of associated (recoToSim) looper tracks vs normalized #chi^{2}", 100, 0., 1.));
969  if (!doSeedPlots_)
970  histograms.h_misidchi2prob.push_back(
971  ibook.book1D("num_chargemisid_chi2prob",
972  "N of associated (recoToSim) charge misIDed tracks vs normalized #chi^{2}",
973  100,
974  0.,
975  1.));
976  histograms.h_pileupchi2prob.push_back(ibook.book1D(
977  "num_pileup_chi2prob", "N of associated (recoToSim) pileup tracks vs normalized #chi^{2}", 100, 0., 1.));
978 
979  if (!seedingLayerSetNames.empty()) {
980  const auto size = seedingLayerSetNames.size();
981  histograms.h_reco_seedingLayerSet.push_back(
982  ibook.book1D("num_reco_seedingLayerSet", "N of reco track vs. seedingLayerSet", size, 0, size));
983  histograms.h_assoc2_seedingLayerSet.push_back(
984  ibook.book1D("num_assoc(recoToSim)_seedingLayerSet",
985  "N of associated track (recoToSim) tracks vs. seedingLayerSet",
986  size,
987  0,
988  size));
989  histograms.h_looper_seedingLayerSet.push_back(ibook.book1D(
990  "num_duplicate_seedingLayerSet", "N of reco associated (recoToSim) looper vs. seedingLayerSet", size, 0, size));
991  histograms.h_pileup_seedingLayerSet.push_back(ibook.book1D(
992  "num_pileup_seedingLayerSet", "N of reco associated (recoToSim) pileup vs. seedingLayerSet", size, 0, size));
993 
994  setBinLabels(histograms.h_reco_seedingLayerSet.back(), seedingLayerSetNames);
995  setBinLabels(histograms.h_assoc2_seedingLayerSet.back(), seedingLayerSetNames);
996  setBinLabels(histograms.h_looper_seedingLayerSet.back(), seedingLayerSetNames);
997  setBinLabels(histograms.h_pileup_seedingLayerSet.back(), seedingLayerSetNames);
998  }
999 
1001 
1002  auto bookResolutionPlots1D = [&](std::vector<dqm::reco::MonitorElement*>& vec, auto&&... params) {
1003  vec.push_back(doResolutionPlots ? ibook.book1D(std::forward<decltype(params)>(params)...) : nullptr);
1004  };
1005  auto bookResolutionPlots2D = [&](std::vector<dqm::reco::MonitorElement*>& vec, bool logx, auto&&... params) {
1006  vec.push_back(doResolutionPlots ? make2DIfLogX(ibook, logx, std::forward<decltype(params)>(params)...) : nullptr);
1007  };
1008  auto bookResolutionPlotsProfile2D = [&](std::vector<dqm::reco::MonitorElement*>& vec, auto&&... params) {
1009  vec.push_back(doResolutionPlots ? ibook.bookProfile2D(std::forward<decltype(params)>(params)...) : nullptr);
1010  };
1011 
1012  bookResolutionPlots1D(histograms.h_eta, "eta", "pseudorapidity residue", 1000, -0.1, 0.1);
1013  bookResolutionPlots1D(histograms.h_pt, "pullPt", "pull of p_{t}", 100, -10, 10);
1014  bookResolutionPlots1D(histograms.h_pullTheta, "pullTheta", "pull of #theta parameter", 250, -25, 25);
1015  bookResolutionPlots1D(histograms.h_pullPhi, "pullPhi", "pull of #phi parameter", 250, -25, 25);
1016  bookResolutionPlots1D(histograms.h_pullDxy, "pullDxy", "pull of dxy parameter", 250, -25, 25);
1017  bookResolutionPlots1D(histograms.h_pullDz, "pullDz", "pull of dz parameter", 250, -25, 25);
1018  bookResolutionPlots1D(histograms.h_pullQoverp, "pullQoverp", "pull of qoverp parameter", 250, -25, 25);
1019 
1020  /* TO BE FIXED -----------
1021  if (associators[ww]=="TrackAssociatorByChi2"){
1022  histograms.h_assochi2.push_back( ibook.book1D("assocChi2","track association #chi^{2}",1000000,0,100000) );
1023  histograms.h_assochi2_prob.push_back(ibook.book1D("assocChi2_prob","probability of association #chi^{2}",100,0,1));
1024  } else if (associators[ww]=="quickTrackAssociatorByHits"){
1025  histograms.h_assocFraction.push_back( ibook.book1D("assocFraction","fraction of shared hits",200,0,2) );
1026  histograms.h_assocSharedHit.push_back(ibook.book1D("assocSharedHit","number of shared hits",20,0,20));
1027  }
1028  */
1029  histograms.h_assocFraction.push_back(ibook.book1D("assocFraction", "fraction of shared hits", 200, 0, 2));
1030  histograms.h_assocSharedHit.push_back(ibook.book1D("assocSharedHit", "number of shared hits", 41, -0.5, 40.5));
1031  // ----------------------
1032 
1033  // use the standard error of the mean as the errors in the profile
1034  histograms.chi2_vs_nhits.push_back(
1035  ibook.bookProfile("chi2mean_vs_nhits", "mean #chi^{2} vs nhits", nintHit, minHit, maxHit, 100, 0, 10, " "));
1036 
1037  bookResolutionPlots2D(
1038  histograms.etares_vs_eta, false, "etares_vs_eta", "etaresidue vs eta", nintEta, minEta, maxEta, 200, -0.1, 0.1);
1039  bookResolutionPlots2D(
1040  histograms.nrec_vs_nsim,
1041  false,
1042  "nrec_vs_nsim",
1043  "Number of selected reco tracks vs. number of selected sim tracks;TrackingParticles;Reco tracks",
1044  nintTracks,
1045  minTracks,
1046  maxTracks,
1047  nintTracks,
1048  minTracks,
1049  maxTracks);
1050 
1051  histograms.chi2_vs_eta.push_back(
1052  ibook.bookProfile("chi2mean", "mean #chi^{2} vs #eta", nintEta, minEta, maxEta, 200, 0, 20, " "));
1053  histograms.chi2_vs_phi.push_back(
1054  ibook.bookProfile("chi2mean_vs_phi", "mean #chi^{2} vs #phi", nintPhi, minPhi, maxPhi, 200, 0, 20, " "));
1055  histograms.chi2_vs_pt.push_back(
1056  makeProfileIfLogX(ibook, useLogPt, "chi2mean_vs_pt", "mean #chi^{2} vs p_{T}", nintPt, minPt, maxPt, 0, 20));
1057  histograms.chi2_vs_drj.push_back(makeProfileIfLogX(
1058  ibook, true, "chi2mean_vs_drj", "mean #chi^{2} vs dR(track,jet)", nintdrj, log10(mindrj), log10(maxdrj), 0, 20));
1059 
1060  histograms.assoc_chi2_vs_eta.push_back(
1061  ibook.bookProfile("assoc_chi2mean", "mean #chi^{2} vs #eta", nintEta, minEta, maxEta, 200, 0., 20., " "));
1062  histograms.assoc_chi2prob_vs_eta.push_back(ibook.bookProfile(
1063  "assoc_chi2prob_vs_eta", "mean #chi^{2} probability vs #eta", nintEta, minEta, maxEta, 100, 0., 1., " "));
1064  histograms.assoc_chi2_vs_pt.push_back(makeProfileIfLogX(
1065  ibook, useLogPt, "assoc_chi2mean_vs_pt", "mean #chi^{2} vs p_{T}", nintPt, minPt, maxPt, 0., 20.));
1066  histograms.assoc_chi2prob_vs_pt.push_back(makeProfileIfLogX(
1067  ibook, useLogPt, "assoc_chi2prob_vs_pt", "mean #chi^{2} probability vs p_{T}", nintPt, minPt, maxPt, 0., 1.));
1068  histograms.assoc_chi2_vs_drj.push_back(makeProfileIfLogX(ibook,
1069  true,
1070  "assoc_chi2mean_vs_drj",
1071  "mean #chi^{2} vs dR(track,jet)",
1072  nintdrj,
1073  log10(mindrj),
1074  log10(maxdrj),
1075  0.,
1076  20));
1077  histograms.assoc_chi2prob_vs_drj.push_back(makeProfileIfLogX(ibook,
1078  true,
1079  "assoc_chi2prob_vs_drj",
1080  "mean #chi^{2} probability vs dR(track,jet)",
1081  nintdrj,
1082  log10(mindrj),
1083  log10(maxdrj),
1084  0.,
1085  1.));
1086 
1087  histograms.nhits_vs_eta.push_back(
1088  ibook.bookProfile("hits_eta", "mean hits vs eta", nintEta, minEta, maxEta, nintHit, minHit, maxHit, " "));
1089  histograms.nPXBhits_vs_eta.push_back(ibook.bookProfile(
1090  "PXBhits_vs_eta", "mean # PXB its vs eta", nintEta, minEta, maxEta, nintHit, minHit, maxHit, " "));
1091  histograms.nPXFhits_vs_eta.push_back(ibook.bookProfile(
1092  "PXFhits_vs_eta", "mean # PXF hits vs eta", nintEta, minEta, maxEta, nintHit, minHit, maxHit, " "));
1093  histograms.nPXLhits_vs_eta.push_back(ibook.bookProfile(
1094  "PXLhits_vs_eta", "mean # PXL hits vs eta", nintEta, minEta, maxEta, nintHit, minHit, maxHit, " "));
1095  histograms.nTIBhits_vs_eta.push_back(ibook.bookProfile(
1096  "TIBhits_vs_eta", "mean # TIB hits vs eta", nintEta, minEta, maxEta, nintHit, minHit, maxHit, " "));
1097  histograms.nTIDhits_vs_eta.push_back(ibook.bookProfile(
1098  "TIDhits_vs_eta", "mean # TID hits vs eta", nintEta, minEta, maxEta, nintHit, minHit, maxHit, " "));
1099  histograms.nTOBhits_vs_eta.push_back(ibook.bookProfile(
1100  "TOBhits_vs_eta", "mean # TOB hits vs eta", nintEta, minEta, maxEta, nintHit, minHit, maxHit, " "));
1101  histograms.nTEChits_vs_eta.push_back(ibook.bookProfile(
1102  "TEChits_vs_eta", "mean # TEC hits vs eta", nintEta, minEta, maxEta, nintHit, minHit, maxHit, " "));
1103  histograms.nSTRIPhits_vs_eta.push_back(ibook.bookProfile(
1104  "STRIPhits_vs_eta", "mean # STRIP hits vs eta", nintEta, minEta, maxEta, nintHit, minHit, maxHit, " "));
1105 
1106  histograms.nLayersWithMeas_vs_eta.push_back(ibook.bookProfile("LayersWithMeas_eta",
1107  "mean # Layers with measurement vs eta",
1108  nintEta,
1109  minEta,
1110  maxEta,
1111  nintLayers,
1112  minLayers,
1113  maxLayers,
1114  " "));
1115  histograms.nPXLlayersWithMeas_vs_eta.push_back(ibook.bookProfile("PXLlayersWithMeas_vs_eta",
1116  "mean # PXL Layers with measurement vs eta",
1117  nintEta,
1118  minEta,
1119  maxEta,
1120  nintLayers,
1121  minLayers,
1122  maxLayers,
1123  " "));
1124  histograms.nSTRIPlayersWithMeas_vs_eta.push_back(ibook.bookProfile("STRIPlayersWithMeas_vs_eta",
1125  "mean # STRIP Layers with measurement vs eta",
1126  nintEta,
1127  minEta,
1128  maxEta,
1129  nintLayers,
1130  minLayers,
1131  maxLayers,
1132  " "));
1133  histograms.nSTRIPlayersWith1dMeas_vs_eta.push_back(ibook.bookProfile("STRIPlayersWith1dMeas_vs_eta",
1134  "mean # STRIP Layers with 1D measurement vs eta",
1135  nintEta,
1136  minEta,
1137  maxEta,
1138  nintLayers,
1139  minLayers,
1140  maxLayers,
1141  " "));
1142  histograms.nSTRIPlayersWith2dMeas_vs_eta.push_back(ibook.bookProfile("STRIPlayersWith2dMeas_vs_eta",
1143  "mean # STRIP Layers with 2D measurement vs eta",
1144  nintEta,
1145  minEta,
1146  maxEta,
1147  nintLayers,
1148  minLayers,
1149  maxLayers,
1150  " "));
1151 
1152  if (doMTDPlots_) {
1153  histograms.nMTDhits_vs_eta.push_back(ibook.bookProfile(
1154  "MTDhits_vs_eta", "mean # MTD hits vs eta", nintEta, minEta, maxEta, nintHit, minHit, maxHit, " "));
1155 
1156  histograms.nBTLhits_vs_eta.push_back(ibook.bookProfile(
1157  "BTLhits_vs_eta", "mean # BTL hits vs eta", nintEta, minEta, maxEta, nintHit, minHit, maxHit, " "));
1158 
1159  histograms.nETLhits_vs_eta.push_back(ibook.bookProfile(
1160  "ETLhits_vs_eta", "mean # ETL hits vs eta", nintEta, minEta, maxEta, nintHit, minHit, maxHit, " "));
1161  }
1162 
1163  histograms.nhits_vs_phi.push_back(
1164  ibook.bookProfile("hits_phi", "mean # hits vs #phi", nintPhi, minPhi, maxPhi, nintHit, minHit, maxHit, " "));
1165 
1166  histograms.nlosthits_vs_eta.push_back(ibook.bookProfile(
1167  "losthits_vs_eta", "mean # lost hits vs eta", nintEta, minEta, maxEta, nintHit, minHit, maxHit, " "));
1168 
1169  //resolution of track parameters
1170  // dPt/Pt cotTheta Phi TIP LIP
1171  // log10(pt)<0.5 100,0.1 240,0.08 100,0.015 100,0.1000 150,0.3000
1172  // 0.5<log10(pt)<1.5 100,0.1 120,0.01 100,0.003 100,0.0100 150,0.0500
1173  // >1.5 100,0.3 100,0.005 100,0.0008 100,0.0060 120,0.0300
1174 
1175  bookResolutionPlots2D(histograms.ptres_vs_eta,
1176  false,
1177  "ptres_vs_eta",
1178  "ptres_vs_eta",
1179  nintEta,
1180  minEta,
1181  maxEta,
1182  ptRes_nbin,
1184  ptRes_rangeMax);
1185 
1186  bookResolutionPlots2D(histograms.ptres_vs_phi,
1187  false,
1188  "ptres_vs_phi",
1189  "p_{t} res vs #phi",
1190  nintPhi,
1191  minPhi,
1192  maxPhi,
1193  ptRes_nbin,
1195  ptRes_rangeMax);
1196 
1197  bookResolutionPlots2D(histograms.ptres_vs_pt,
1198  useLogPt,
1199  "ptres_vs_pt",
1200  "ptres_vs_pt",
1201  nintPt,
1202  minPt,
1203  maxPt,
1204  ptRes_nbin,
1206  ptRes_rangeMax);
1207 
1208  bookResolutionPlots2D(histograms.cotThetares_vs_eta,
1209  false,
1210  "cotThetares_vs_eta",
1211  "cotThetares_vs_eta",
1212  nintEta,
1213  minEta,
1214  maxEta,
1218 
1219  bookResolutionPlots2D(histograms.cotThetares_vs_pt,
1220  useLogPt,
1221  "cotThetares_vs_pt",
1222  "cotThetares_vs_pt",
1223  nintPt,
1224  minPt,
1225  maxPt,
1229 
1230  bookResolutionPlots2D(histograms.phires_vs_eta,
1231  false,
1232  "phires_vs_eta",
1233  "phires_vs_eta",
1234  nintEta,
1235  minEta,
1236  maxEta,
1237  phiRes_nbin,
1239  phiRes_rangeMax);
1240 
1241  bookResolutionPlots2D(histograms.phires_vs_pt,
1242  useLogPt,
1243  "phires_vs_pt",
1244  "phires_vs_pt",
1245  nintPt,
1246  minPt,
1247  maxPt,
1248  phiRes_nbin,
1250  phiRes_rangeMax);
1251 
1252  bookResolutionPlots2D(histograms.phires_vs_phi,
1253  false,
1254  "phires_vs_phi",
1255  "#phi res vs #phi",
1256  nintPhi,
1257  minPhi,
1258  maxPhi,
1259  phiRes_nbin,
1261  phiRes_rangeMax);
1262 
1263  bookResolutionPlots2D(histograms.dxyres_vs_eta,
1264  false,
1265  "dxyres_vs_eta",
1266  "dxyres_vs_eta",
1267  nintEta,
1268  minEta,
1269  maxEta,
1270  dxyRes_nbin,
1272  dxyRes_rangeMax);
1273 
1274  bookResolutionPlots2D(histograms.dxyres_vs_pt,
1275  useLogPt,
1276  "dxyres_vs_pt",
1277  "dxyres_vs_pt",
1278  nintPt,
1279  minPt,
1280  maxPt,
1281  dxyRes_nbin,
1283  dxyRes_rangeMax);
1284 
1285  bookResolutionPlots2D(histograms.dxyres_vs_phi,
1286  false,
1287  "dxyres_vs_phi",
1288  "dxyres_vs_phi",
1289  nintPhi,
1290  minPhi,
1291  maxPhi,
1292  dxyRes_nbin,
1294  dxyRes_rangeMax);
1295 
1296  bookResolutionPlots2D(histograms.dzres_vs_eta,
1297  false,
1298  "dzres_vs_eta",
1299  "dzres_vs_eta",
1300  nintEta,
1301  minEta,
1302  maxEta,
1303  dzRes_nbin,
1305  dzRes_rangeMax);
1306 
1307  bookResolutionPlots2D(histograms.dzres_vs_pt,
1308  useLogPt,
1309  "dzres_vs_pt",
1310  "dzres_vs_pt",
1311  nintPt,
1312  minPt,
1313  maxPt,
1314  dzRes_nbin,
1316  dzRes_rangeMax);
1317 
1318  bookResolutionPlots2D(histograms.dzres_vs_phi,
1319  false,
1320  "dzres_vs_phi",
1321  "dzres_vs_phi",
1322  nintPhi,
1323  minPhi,
1324  maxPhi,
1325  dzRes_nbin,
1327  dzRes_rangeMax);
1328 
1329  bookResolutionPlotsProfile2D(histograms.ptmean_vs_eta_phi,
1330  "ptmean_vs_eta_phi",
1331  "mean p_{t} vs #eta and #phi",
1332  nintPhi,
1333  minPhi,
1334  maxPhi,
1335  nintEta,
1336  minEta,
1337  maxEta,
1338  1000,
1339  0,
1340  1000);
1341  bookResolutionPlotsProfile2D(histograms.phimean_vs_eta_phi,
1342  "phimean_vs_eta_phi",
1343  "mean #phi vs #eta and #phi",
1344  nintPhi,
1345  minPhi,
1346  maxPhi,
1347  nintEta,
1348  minEta,
1349  maxEta,
1350  nintPhi,
1351  minPhi,
1352  maxPhi);
1353 
1354  //pulls of track params vs eta: to be used with fitslicesytool
1355  bookResolutionPlots2D(
1356  histograms.dxypull_vs_eta, false, "dxypull_vs_eta", "dxypull_vs_eta", nintEta, minEta, maxEta, 100, -10, 10);
1357  bookResolutionPlots2D(
1358  histograms.ptpull_vs_eta, false, "ptpull_vs_eta", "ptpull_vs_eta", nintEta, minEta, maxEta, 100, -10, 10);
1359  bookResolutionPlots2D(
1360  histograms.dzpull_vs_eta, false, "dzpull_vs_eta", "dzpull_vs_eta", nintEta, minEta, maxEta, 100, -10, 10);
1361  bookResolutionPlots2D(
1362  histograms.phipull_vs_eta, false, "phipull_vs_eta", "phipull_vs_eta", nintEta, minEta, maxEta, 100, -10, 10);
1363  bookResolutionPlots2D(
1364  histograms.thetapull_vs_eta, false, "thetapull_vs_eta", "thetapull_vs_eta", nintEta, minEta, maxEta, 100, -10, 10);
1365  bookResolutionPlots2D(
1366  histograms.dxypull_vs_pt, useLogPt, "dxypull_vs_pt", "dxypull_vs_pt", nintPt, minPt, maxPt, 100, -10, 10);
1367  bookResolutionPlots2D(
1368  histograms.ptpull_vs_pt, useLogPt, "ptpull_vs_pt", "ptpull_vs_pt", nintPt, minPt, maxPt, 100, -10, 10);
1369  bookResolutionPlots2D(
1370  histograms.dzpull_vs_pt, useLogPt, "dzpull_vs_pt", "dzpull_vs_pt", nintPt, minPt, maxPt, 100, -10, 10);
1371  bookResolutionPlots2D(
1372  histograms.phipull_vs_pt, useLogPt, "phipull_vs_pt", "phipull_vs_pt", nintPt, minPt, maxPt, 100, -10, 10);
1373  bookResolutionPlots2D(
1374  histograms.thetapull_vs_pt, useLogPt, "thetapull_vs_pt", "thetapull_vs_pt", nintPt, minPt, maxPt, 100, -10, 10);
1375 
1376  // histograms.h_ptshiftetamean.push_back( ibook.book1D("h_ptshifteta_Mean","<#deltapT/pT>[%] vs #eta",nintEta,minEta,maxEta) );
1377 
1378  //pulls of track params vs phi
1379  bookResolutionPlots2D(
1380  histograms.ptpull_vs_phi, false, "ptpull_vs_phi", "p_{t} pull vs #phi", nintPhi, minPhi, maxPhi, 100, -10, 10);
1381  bookResolutionPlots2D(
1382  histograms.phipull_vs_phi, false, "phipull_vs_phi", "#phi pull vs #phi", nintPhi, minPhi, maxPhi, 100, -10, 10);
1383  bookResolutionPlots2D(histograms.thetapull_vs_phi,
1384  false,
1385  "thetapull_vs_phi",
1386  "#theta pull vs #phi",
1387  nintPhi,
1388  minPhi,
1389  maxPhi,
1390  100,
1391  -10,
1392  10);
1393 
1394  bookResolutionPlots2D(histograms.nrecHit_vs_nsimHit_rec2sim,
1395  false,
1396  "nrecHit_vs_nsimHit_rec2sim",
1397  "nrecHit vs nsimHit (Rec2simAssoc)",
1398  nintHit,
1399  minHit,
1400  maxHit,
1401  nintHit,
1402  minHit,
1403  maxHit);
1404 }
size
Write out results.
MonitorElement * bookProfile2D(TString const &name, TString const &title, int nchX, double lowX, double highX, int nchY, double lowY, double highY, double lowZ, double highZ, char const *option="s", FUNC onbooking=NOOP())
Definition: DQMStore.h:476
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:399
static const std::string algoNames[]
Definition: TrackBase.h:147
std::vector< std::string > seedingLayerSetNames
void setBinLabels(std::vector< TH2F > &depth)
MonitorElement * book1D(TString const &name, TString const &title, int const nchX, double const lowX, double const highX, FUNC onbooking=NOOP())
Definition: DQMStore.h:98

◆ bookRecoPVAssociationHistos()

void MTVHistoProducerAlgoForTracker::bookRecoPVAssociationHistos ( DQMStore::IBooker ibook,
Histograms histograms 
)

Definition at line 1406 of file MTVHistoProducerAlgoForTracker.cc.

References dqm::implementation::IBooker::book1D(), doDzPVcutPlots_, doSeedPlots_, dxyDzZoom, maxDxy, maxDz, maxDzpvCum, minDxy, minDz, nintDxy, nintDz, and nintDzpvCum.

1406  {
1407  histograms.h_recodxypv.push_back(
1408  ibook.book1D("num_reco_dxypv", "N of reco track vs dxy(PV)", nintDxy, minDxy, maxDxy));
1409  histograms.h_assoc2dxypv.push_back(ibook.book1D(
1410  "num_assoc(recoToSim)_dxypv", "N of associated (recoToSim) tracks vs dxy(PV)", nintDxy, minDxy, maxDxy));
1411  histograms.h_looperdxypv.push_back(ibook.book1D(
1412  "num_duplicate_dxypv", "N of associated (recoToSim) looper tracks vs dxy(PV)", nintDxy, minDxy, maxDxy));
1413  if (!doSeedPlots_)
1414  histograms.h_misiddxypv.push_back(ibook.book1D("num_chargemisid_dxypv",
1415  "N of associated (recoToSim) charge misIDed tracks vs dxy(PV)",
1416  nintDxy,
1417  minDxy,
1418  maxDxy));
1419  histograms.h_pileupdxypv.push_back(ibook.book1D(
1420  "num_pileup_dxypv", "N of associated (recoToSim) pileup tracks vs dxy(PV)", nintDxy, minDxy, maxDxy));
1421 
1422  histograms.h_recodzpv.push_back(ibook.book1D("num_reco_dzpv", "N of reco track vs dz(PV)", nintDz, minDz, maxDz));
1423  histograms.h_assoc2dzpv.push_back(
1424  ibook.book1D("num_assoc(recoToSim)_dzpv", "N of associated (recoToSim) tracks vs dz(PV)", nintDz, minDz, maxDz));
1425  histograms.h_looperdzpv.push_back(
1426  ibook.book1D("num_duplicate_dzpv", "N of associated (recoToSim) looper tracks vs dz(PV)", nintDz, minDz, maxDz));
1427  if (!doSeedPlots_)
1428  histograms.h_misiddzpv.push_back(ibook.book1D("num_chargemisid_versus_dzpv",
1429  "N of associated (recoToSim) charge misIDed tracks vs dz(PV)",
1430  nintDz,
1431  minDz,
1432  maxDz));
1433  histograms.h_pileupdzpv.push_back(
1434  ibook.book1D("num_pileup_dzpv", "N of associated (recoToSim) pileup tracks vs dz(PV)", nintDz, minDz, maxDz));
1435 
1436  histograms.h_recodxypvzoomed.push_back(ibook.book1D(
1437  "num_reco_dxypv_zoomed", "N of reco track vs dxy(PV)", nintDxy, minDxy / dxyDzZoom, maxDxy / dxyDzZoom));
1438  histograms.h_assoc2dxypvzoomed.push_back(ibook.book1D("num_assoc(recoToSim)_dxypv_zoomed",
1439  "N of associated (recoToSim) tracks vs dxy(PV)",
1440  nintDxy,
1441  minDxy / dxyDzZoom,
1442  maxDxy / dxyDzZoom));
1443  histograms.h_looperdxypvzoomed.push_back(ibook.book1D("num_duplicate_dxypv_zoomed",
1444  "N of associated (recoToSim) looper tracks vs dxy(PV)",
1445  nintDxy,
1446  minDxy / dxyDzZoom,
1447  maxDxy / dxyDzZoom));
1448  if (!doSeedPlots_)
1449  histograms.h_misiddxypvzoomed.push_back(ibook.book1D("num_chargemisid_dxypv_zoomed",
1450  "N of associated (recoToSim) charge misIDed tracks vs dxy(PV)",
1451  nintDxy,
1452  minDxy / dxyDzZoom,
1453  maxDxy / dxyDzZoom));
1454  histograms.h_pileupdxypvzoomed.push_back(ibook.book1D("num_pileup_dxypv_zoomed",
1455  "N of associated (recoToSim) pileup tracks vs dxy(PV)",
1456  nintDxy,
1457  minDxy / dxyDzZoom,
1458  maxDxy / dxyDzZoom));
1459 
1460  histograms.h_recodzpvzoomed.push_back(
1461  ibook.book1D("num_reco_dzpv_zoomed", "N of reco track vs dz(PV)", nintDz, minDz / dxyDzZoom, maxDz / dxyDzZoom));
1462  histograms.h_assoc2dzpvzoomed.push_back(ibook.book1D("num_assoc(recoToSim)_dzpv_zoomed",
1463  "N of associated (recoToSim) tracks vs dz(PV)",
1464  nintDz,
1465  minDz / dxyDzZoom,
1466  maxDz / dxyDzZoom));
1467  histograms.h_looperdzpvzoomed.push_back(ibook.book1D("num_duplicate_dzpv_zoomed",
1468  "N of associated (recoToSim) looper tracks vs dz(PV)",
1469  nintDz,
1470  minDz / dxyDzZoom,
1471  maxDz / dxyDzZoom));
1472  if (!doSeedPlots_)
1473  histograms.h_misiddzpvzoomed.push_back(ibook.book1D("num_chargemisid_versus_dzpv_zoomed",
1474  "N of associated (recoToSim) charge misIDed tracks vs dz(PV)",
1475  nintDz,
1476  minDz / dxyDzZoom,
1477  maxDz / dxyDzZoom));
1478  histograms.h_pileupdzpvzoomed.push_back(ibook.book1D("num_pileup_dzpv_zoomed",
1479  "N of associated (recoToSim) pileup tracks vs dz(PV)",
1480  nintDz,
1481  minDz / dxyDzZoom,
1482  maxDz / dxyDzZoom));
1483 
1484  if (doDzPVcutPlots_) {
1485  histograms.h_reco_dzpvcut.push_back(
1486  ibook.book1D("num_reco_dzpvcut", "N of reco track vs dz(PV)", nintDzpvCum, 0, maxDzpvCum));
1487 
1488  histograms.h_assoc2_dzpvcut.push_back(ibook.book1D(
1489  "num_assoc(recoToSim)_dzpvcut", "N of associated (recoToSim) tracks vs dz(PV)", nintDzpvCum, 0, maxDzpvCum));
1490 
1491  histograms.h_pileup_dzpvcut.push_back(ibook.book1D(
1492  "num_pileup_dzpvcut", "N of associated (recoToSim) pileup tracks vs dz(PV)", nintDzpvCum, 0, maxDzpvCum));
1493  }
1494 }
MonitorElement * book1D(TString const &name, TString const &title, int const nchX, double const lowX, double const highX, FUNC onbooking=NOOP())
Definition: DQMStore.h:98

◆ bookSeedHistos()

void MTVHistoProducerAlgoForTracker::bookSeedHistos ( DQMStore::IBooker ibook,
Histograms histograms 
)

Definition at line 1517 of file MTVHistoProducerAlgoForTracker.cc.

References dqm::implementation::IBooker::book1D(), maxTracks, minTracks, and nintTracks.

1517  {
1518  histograms.h_seedsFitFailed.push_back(
1519  ibook.book1D("seeds_fitFailed", "Number of seeds for which the fit failed", nintTracks, minTracks, maxTracks));
1520  histograms.h_seedsFitFailedFraction.push_back(
1521  ibook.book1D("seeds_fitFailedFraction", "Fraction of seeds for which the fit failed", 100, 0, 1));
1522 }
MonitorElement * book1D(TString const &name, TString const &title, int const nchX, double const lowX, double const highX, FUNC onbooking=NOOP())
Definition: DQMStore.h:98

◆ bookSimHistos()

void MTVHistoProducerAlgoForTracker::bookSimHistos ( DQMStore::IBooker ibook,
Histograms histograms 
)

Definition at line 394 of file MTVHistoProducerAlgoForTracker.cc.

References dqm::implementation::IBooker::book1D(), maxEta, maxPhi, maxPt, maxTracks, maxVertpos, minEta, minPhi, minPt, minTracks, minVertpos, nintEta, nintPhi, nintPt, nintTracks, nintVertpos, and useLogPt.

394  {
395  histograms.h_ptSIM = make1DIfLogX(ibook, useLogPt, "ptSIM", "generated p_{t}", nintPt, minPt, maxPt);
396  histograms.h_etaSIM = ibook.book1D("etaSIM", "generated pseudorapidity", nintEta, minEta, maxEta);
397  histograms.h_phiSIM = ibook.book1D("phiSIM", "generated phi", nintPhi, minPhi, maxPhi);
398  histograms.h_tracksSIM =
399  ibook.book1D("tracksSIM", "number of simulated tracks", nintTracks, minTracks, maxTracks * 10);
400  histograms.h_vertposSIM =
401  ibook.book1D("vertposSIM", "Transverse position of sim vertices", nintVertpos, minVertpos, maxVertpos);
402  histograms.h_bunchxSIM = ibook.book1D("bunchxSIM", "bunch crossing", 21, -15.5, 5.5);
403 }
MonitorElement * book1D(TString const &name, TString const &title, int const nchX, double const lowX, double const highX, FUNC onbooking=NOOP())
Definition: DQMStore.h:98

◆ bookSimTrackHistos()

void MTVHistoProducerAlgoForTracker::bookSimTrackHistos ( DQMStore::IBooker ibook,
Histograms histograms,
bool  doResolutionPlots 
)

Definition at line 405 of file MTVHistoProducerAlgoForTracker.cc.

References reco::TrackBase::algoSize, dqm::implementation::IBooker::book1D(), dqm::implementation::IBooker::book2D(), maxdr, maxdrj, maxDxy, maxDz, maxEta, maxHit, maxLayers, maxPhi, maxPt, maxPu, maxPVz, maxVertpos, maxZpos, mindr, mindrj, minDxy, minDz, minEta, minHit, minLayers, minPhi, minPt, minPu, minPVz, minVertpos, minZpos, nintdr, nintdrj, nintDxy, nintDz, nintEta, nintHit, nintLayers, nintPhi, nintPt, nintPu, nintPVz, nintVertpos, nintZpos, useLogPt, and useLogVertpos.

407  {
408  histograms.h_assoceta.push_back(
409  ibook.book1D("num_assoc(simToReco)_eta", "N of associated tracks (simToReco) vs eta", nintEta, minEta, maxEta));
410  histograms.h_simuleta.push_back(
411  ibook.book1D("num_simul_eta", "N of simulated tracks vs eta", nintEta, minEta, maxEta));
412 
413  histograms.h_assocpT.push_back(make1DIfLogX(
414  ibook, useLogPt, "num_assoc(simToReco)_pT", "N of associated tracks (simToReco) vs pT", nintPt, minPt, maxPt));
415  histograms.h_simulpT.push_back(
416  make1DIfLogX(ibook, useLogPt, "num_simul_pT", "N of simulated tracks vs pT", nintPt, minPt, maxPt));
417 
418  histograms.h_assocpTvseta.push_back(make2DIfLogY(ibook,
419  useLogPt,
420  "num_assoc(simToReco)_pTvseta",
421  "N of associated tracks (simToReco) in (pT-eta) please",
422  nintEta,
423  minEta,
424  maxEta,
425  nintPt,
426  minPt,
427  maxPt));
428  histograms.h_simulpTvseta.push_back(make2DIfLogY(ibook,
429  useLogPt,
430  "num_simul_pTvseta",
431  "N of simulated tracks in (pT-eta) plane",
432  nintEta,
433  minEta,
434  maxEta,
435  nintPt,
436  minPt,
437  maxPt));
438 
439  histograms.h_assochit.push_back(
440  ibook.book1D("num_assoc(simToReco)_hit", "N of associated tracks (simToReco) vs hit", nintHit, minHit, maxHit));
441  histograms.h_simulhit.push_back(
442  ibook.book1D("num_simul_hit", "N of simulated tracks vs hit", nintHit, minHit, maxHit));
443 
444  histograms.h_assoclayer.push_back(ibook.book1D(
445  "num_assoc(simToReco)_layer", "N of associated tracks (simToReco) vs layer", nintLayers, minLayers, maxLayers));
446  histograms.h_simullayer.push_back(
447  ibook.book1D("num_simul_layer", "N of simulated tracks vs layer", nintLayers, minLayers, maxLayers));
448 
449  histograms.h_assocpixellayer.push_back(ibook.book1D("num_assoc(simToReco)_pixellayer",
450  "N of associated tracks (simToReco) vs pixel layer",
451  nintLayers,
452  minLayers,
453  maxLayers));
454  histograms.h_simulpixellayer.push_back(
455  ibook.book1D("num_simul_pixellayer", "N of simulated tracks vs pixel layer", nintLayers, minLayers, maxLayers));
456 
457  histograms.h_assoc3Dlayer.push_back(ibook.book1D("num_assoc(simToReco)_3Dlayer",
458  "N of associated tracks (simToReco) vs 3D layer",
459  nintLayers,
460  minLayers,
461  maxLayers));
462  histograms.h_simul3Dlayer.push_back(
463  ibook.book1D("num_simul_3Dlayer", "N of simulated tracks vs 3D layer", nintLayers, minLayers, maxLayers));
464 
465  histograms.h_assocpu.push_back(
466  ibook.book1D("num_assoc(simToReco)_pu", "N of associated tracks (simToReco) vs pu", nintPu, minPu, maxPu));
467  histograms.h_simulpu.push_back(ibook.book1D("num_simul_pu", "N of simulated tracks vs pu", nintPu, minPu, maxPu));
468 
469  histograms.h_assocphi.push_back(
470  ibook.book1D("num_assoc(simToReco)_phi", "N of associated tracks (simToReco) vs phi", nintPhi, minPhi, maxPhi));
471  histograms.h_simulphi.push_back(
472  ibook.book1D("num_simul_phi", "N of simulated tracks vs phi", nintPhi, minPhi, maxPhi));
473 
474  histograms.h_assocdxy.push_back(
475  ibook.book1D("num_assoc(simToReco)_dxy", "N of associated tracks (simToReco) vs dxy", nintDxy, minDxy, maxDxy));
476  histograms.h_simuldxy.push_back(
477  ibook.book1D("num_simul_dxy", "N of simulated tracks vs dxy", nintDxy, minDxy, maxDxy));
478 
479  histograms.h_assocdz.push_back(
480  ibook.book1D("num_assoc(simToReco)_dz", "N of associated tracks (simToReco) vs dz", nintDz, minDz, maxDz));
481  histograms.h_simuldz.push_back(ibook.book1D("num_simul_dz", "N of simulated tracks vs dz", nintDz, minDz, maxDz));
482 
483  histograms.h_assocvertpos.push_back(make1DIfLogX(ibook,
485  "num_assoc(simToReco)_vertpos",
486  "N of associated tracks (simToReco) vs transverse vert position",
487  nintVertpos,
488  minVertpos,
489  maxVertpos));
490  histograms.h_simulvertpos.push_back(make1DIfLogX(ibook,
492  "num_simul_vertpos",
493  "N of simulated tracks vs transverse vert position",
494  nintVertpos,
495  minVertpos,
496  maxVertpos));
497 
498  histograms.h_assoczpos.push_back(ibook.book1D(
499  "num_assoc(simToReco)_zpos", "N of associated tracks (simToReco) vs z vert position", nintZpos, minZpos, maxZpos));
500  histograms.h_simulzpos.push_back(
501  ibook.book1D("num_simul_zpos", "N of simulated tracks vs z vert position", nintZpos, minZpos, maxZpos));
502 
503  histograms.h_assocdr.push_back(make1DIfLogX(ibook,
504  true,
505  "num_assoc(simToReco)_dr",
506  "N of associated tracks (simToReco) vs dR",
507  nintdr,
508  log10(mindr),
509  log10(maxdr)));
510  histograms.h_simuldr.push_back(
511  make1DIfLogX(ibook, true, "num_simul_dr", "N of simulated tracks vs dR", nintdr, log10(mindr), log10(maxdr)));
512 
513  histograms.h_assocdrj.push_back(make1DIfLogX(ibook,
514  true,
515  "num_assoc(simToReco)_drj",
516  "N of associated tracks (simToReco) vs dR(TP,jet)",
517  nintdrj,
518  log10(mindrj),
519  log10(maxdrj)));
520  histograms.h_simuldrj.push_back(make1DIfLogX(
521  ibook, true, "num_simul_drj", "N of simulated tracks vs dR(TP,jet)", nintdrj, log10(mindrj), log10(maxdrj)));
522 
523  histograms.h_simul_simpvz.push_back(
524  ibook.book1D("num_simul_simpvz", "N of simulated tracks vs. sim PV z", nintPVz, minPVz, maxPVz));
525  histograms.h_assoc_simpvz.push_back(ibook.book1D(
526  "num_assoc(simToReco)_simpvz", "N of associated tracks (simToReco) vs. sim PV z", nintPVz, minPVz, maxPVz));
527 
528  histograms.nrecHit_vs_nsimHit_sim2rec.push_back(doResolutionPlots ? ibook.book2D("nrecHit_vs_nsimHit_sim2rec",
529  "nrecHit vs nsimHit (Sim2RecAssoc)",
530  nintHit,
531  minHit,
532  maxHit,
533  nintHit,
534  minHit,
535  maxHit)
536  : nullptr);
537 
538  // TODO: use the dynamic track algo priority order also here
539  constexpr auto nalgos = reco::TrackBase::algoSize;
540  histograms.h_duplicates_oriAlgo_vs_oriAlgo.push_back(ibook.book2D("duplicates_oriAlgo_vs_oriAlgo",
541  "Duplicate tracks: originalAlgo vs originalAlgo",
542  nalgos,
543  0,
544  nalgos,
545  nalgos,
546  0,
547  nalgos));
548  setBinLabelsAlgo(histograms.h_duplicates_oriAlgo_vs_oriAlgo.back(), 1);
549  setBinLabelsAlgo(histograms.h_duplicates_oriAlgo_vs_oriAlgo.back(), 2);
550 }
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:212
MonitorElement * book1D(TString const &name, TString const &title, int const nchX, double const lowX, double const highX, FUNC onbooking=NOOP())
Definition: DQMStore.h:98

◆ bookSimTrackPVAssociationHistos()

void MTVHistoProducerAlgoForTracker::bookSimTrackPVAssociationHistos ( DQMStore::IBooker ibook,
Histograms histograms 
)

Definition at line 552 of file MTVHistoProducerAlgoForTracker.cc.

References dqm::implementation::IBooker::book1D(), doDzPVcutPlots_, dxyDzZoom, maxDxy, maxDz, maxDzpvCum, minDxy, minDz, nintDxy, nintDz, and nintDzpvCum.

552  {
553  histograms.h_assocdxypv.push_back(ibook.book1D(
554  "num_assoc(simToReco)_dxypv", "N of associated tracks (simToReco) vs dxy(PV)", nintDxy, minDxy, maxDxy));
555  histograms.h_simuldxypv.push_back(
556  ibook.book1D("num_simul_dxypv", "N of simulated tracks vs dxy(PV)", nintDxy, minDxy, maxDxy));
557 
558  histograms.h_assocdzpv.push_back(
559  ibook.book1D("num_assoc(simToReco)_dzpv", "N of associated tracks (simToReco) vs dz(PV)", nintDz, minDz, maxDz));
560  histograms.h_simuldzpv.push_back(
561  ibook.book1D("num_simul_dzpv", "N of simulated tracks vs dz(PV)", nintDz, minDz, maxDz));
562 
563  histograms.h_assocdxypvzoomed.push_back(ibook.book1D("num_assoc(simToReco)_dxypv_zoomed",
564  "N of associated tracks (simToReco) vs dxy(PV)",
565  nintDxy,
566  minDxy / dxyDzZoom,
567  maxDxy / dxyDzZoom));
568  histograms.h_simuldxypvzoomed.push_back(ibook.book1D(
569  "num_simul_dxypv_zoomed", "N of simulated tracks vs dxy(PV)", nintDxy, minDxy / dxyDzZoom, maxDxy / dxyDzZoom));
570 
571  histograms.h_assocdzpvzoomed.push_back(ibook.book1D("num_assoc(simToReco)_dzpv_zoomed",
572  "N of associated tracks (simToReco) vs dz(PV)",
573  nintDz,
574  minDz / dxyDzZoom,
575  maxDz / dxyDzZoom));
576  histograms.h_simuldzpvzoomed.push_back(ibook.book1D(
577  "num_simul_dzpv_zoomed", "N of simulated tracks vs dz(PV)", nintDz, minDz / dxyDzZoom, maxDz / dxyDzZoom));
578 
579  if (doDzPVcutPlots_) {
580  histograms.h_assoc_dzpvcut.push_back(ibook.book1D(
581  "num_assoc(simToReco)_dzpvcut", "N of associated tracks (simToReco) vs dz(PV)", nintDzpvCum, 0, maxDzpvCum));
582  histograms.h_simul_dzpvcut.push_back(
583  ibook.book1D("num_simul_dzpvcut", "N of simulated tracks from sim PV", nintDzpvCum, 0, maxDzpvCum));
584  histograms.h_simul2_dzpvcut.push_back(ibook.book1D("num_simul2_dzpvcut",
585  "N of simulated tracks (associated to any track) from sim PV",
586  nintDzpvCum,
587  0,
588  maxDzpvCum));
589  }
590 }
MonitorElement * book1D(TString const &name, TString const &title, int const nchX, double const lowX, double const highX, FUNC onbooking=NOOP())
Definition: DQMStore.h:98

◆ fill_dedx_recoTrack_histos()

void MTVHistoProducerAlgoForTracker::fill_dedx_recoTrack_histos ( const Histograms histograms,
int  count,
const edm::RefToBase< reco::Track > &  trackref,
const std::vector< const edm::ValueMap< reco::DeDxData > *> &  v_dEdx 
) const

Definition at line 1891 of file MTVHistoProducerAlgoForTracker.cc.

References submitPVResolutionJobs::count, reco::DeDxData::dEdx(), mps_fire::i, reco::DeDxData::numberOfMeasurements(), and reco::DeDxData::numberOfSaturatedMeasurements().

1895  {
1896  for (unsigned int i = 0; i < v_dEdx.size(); i++) {
1897  const edm::ValueMap<reco::DeDxData>& dEdxTrack = *(v_dEdx[i]);
1898  const reco::DeDxData& dedx = dEdxTrack[trackref];
1899  histograms.h_dedx_estim[count][i]->Fill(dedx.dEdx());
1900  histograms.h_dedx_nom[count][i]->Fill(dedx.numberOfMeasurements());
1901  histograms.h_dedx_sat[count][i]->Fill(dedx.numberOfSaturatedMeasurements());
1902  }
1903 }
float dEdx() const
Definition: DeDxData.cc:11
int numberOfSaturatedMeasurements() const
Definition: DeDxData.cc:20
unsigned int numberOfMeasurements() const
Definition: DeDxData.cc:18

◆ fill_duplicate_histos()

void MTVHistoProducerAlgoForTracker::fill_duplicate_histos ( const Histograms histograms,
int  count,
const reco::Track track1,
const reco::Track track2 
) const

Definition at line 1879 of file MTVHistoProducerAlgoForTracker.cc.

References submitPVResolutionJobs::count, and reco::TrackBase::originalAlgo().

1882  {
1883  histograms.h_duplicates_oriAlgo_vs_oriAlgo[count]->Fill(track1.originalAlgo(), track2.originalAlgo());
1884 }
TrackAlgorithm originalAlgo() const
Definition: TrackBase.h:548

◆ fill_generic_recoTrack_histos()

void MTVHistoProducerAlgoForTracker::fill_generic_recoTrack_histos ( const Histograms histograms,
int  count,
const reco::Track track,
const TrackerTopology ttopo,
const math::XYZPoint bsPosition,
const math::XYZPoint pvPosition,
const TrackingVertex::LorentzVector simPVPosition,
bool  isMatched,
bool  isSigMatched,
bool  isChargeMatched,
int  numAssocRecoTracks,
int  numVertices,
int  nSimHits,
double  sharedFraction,
double  dR,
double  dR_jet,
const std::vector< float > &  mvas,
unsigned int  selectsLoose,
unsigned int  selectsHP 
) const

Definition at line 1905 of file MTVHistoProducerAlgoForTracker.cc.

References funct::abs(), cms::cuda::assert(), nano_mu_local_reco_cff::chi2, submitPVResolutionJobs::count, doDzPVcutPlots_, doSeedPlots_, HGC3DClusterGenMatchSelector_cfi::dR, PVValHelper::dxy, PVValHelper::dz, PVValHelper::eta, getEta(), getPt(), getSeedingLayerSetBin(), createfilelist::int, trackerHitRTTI::isMatched(), nhits, nlayers, phi, DiDispStaMuonMonitor_cfi::pt, seedingLayerSetNames, muonCosmicCompatibility_cfi::sharedHits, mathSSE::sqrt(), HLT_2023v12_cff::track, trackFromSeedFitFailed(), trackSelectorVsEta, trackSelectorVsPhi, and trackSelectorVsPt.

1923  {
1924  //Fill track algo histogram
1925  histograms.h_algo[count]->Fill(track.algo());
1926  int sharedHits = sharedFraction * track.numberOfValidHits();
1927 
1928  //Compute fake rate vs eta
1929  const auto eta = getEta(track.momentum().eta());
1930  const auto phi = track.momentum().phi();
1931  const auto pt = getPt(sqrt(track.momentum().perp2()));
1932  const auto dxy = track.dxy(bsPosition);
1933  const auto dz = track.dz(bsPosition);
1934  const auto dxypv = pvPosition ? track.dxy(*pvPosition) : 0.0;
1935  const auto dzpv = pvPosition ? track.dz(*pvPosition) : 0.0;
1936  const auto nhits = track.found();
1937  const auto nlayers = track.hitPattern().trackerLayersWithMeasurement();
1938  const auto nPixelLayers = track.hitPattern().pixelLayersWithMeasurement();
1939  const auto n3DLayers = nPixelLayers + track.hitPattern().numberOfValidStripLayersWithMonoAndStereo();
1940  const auto refPointWrtBS = track.referencePoint() - bsPosition;
1941  const auto vertxy = std::sqrt(refPointWrtBS.perp2());
1942  const auto vertz = refPointWrtBS.z();
1943  const auto chi2 = track.normalizedChi2();
1944  const auto chi2prob = TMath::Prob(track.chi2(), (int)track.ndof());
1945  const bool fillSeedingLayerSets = !seedingLayerSetNames.empty();
1946  const unsigned int seedingLayerSetBin = fillSeedingLayerSets ? getSeedingLayerSetBin(track, ttopo) : 0;
1947  const auto simpvz = simPVPosition ? simPVPosition->z() : 0.0;
1948 
1949  const bool paramsValid = !trackFromSeedFitFailed(track);
1950 
1951  if (paramsValid) {
1952  histograms.h_recoeta[count]->Fill(eta);
1953  histograms.h_recophi[count]->Fill(phi);
1954  histograms.h_recopT[count]->Fill(pt);
1955  histograms.h_recopTvseta[count]->Fill(eta, pt);
1956  histograms.h_recodxy[count]->Fill(dxy);
1957  histograms.h_recodz[count]->Fill(dz);
1958  histograms.h_recochi2[count]->Fill(chi2);
1959  histograms.h_recochi2prob[count]->Fill(chi2prob);
1960  histograms.h_recovertpos[count]->Fill(vertxy);
1961  histograms.h_recozpos[count]->Fill(vertz);
1962  histograms.h_recodr[count]->Fill(dR);
1963  histograms.h_recodrj[count]->Fill(dRJet);
1964  if (dRJet <= 99999) //dRJet can be set to numeric_limits max^2, this is a protection
1965  histograms.chi2_vs_drj[count]->Fill(dRJet, chi2);
1966  if (fillSeedingLayerSets)
1967  histograms.h_reco_seedingLayerSet[count]->Fill(seedingLayerSetBin);
1968  if (pvPosition) {
1969  histograms.h_recodxypv[count]->Fill(dxypv);
1970  histograms.h_recodzpv[count]->Fill(dzpv);
1971  histograms.h_recodxypvzoomed[count]->Fill(dxypv);
1972  histograms.h_recodzpvzoomed[count]->Fill(dzpv);
1973 
1974  if (doDzPVcutPlots_)
1975  histograms.h_reco_dzpvcut[count]->Fill(std::abs(dzpv));
1976  }
1977  if (simPVPosition) {
1978  histograms.h_reco_simpvz[count]->Fill(simpvz);
1979  }
1980  if ((*trackSelectorVsEta)(track, bsPosition)) {
1981  histograms.h_reco2eta[count]->Fill(eta);
1982  }
1983  if ((*trackSelectorVsPt)(track, bsPosition)) {
1984  histograms.h_reco2pT[count]->Fill(pt);
1985  histograms.h_reco2pTvseta[count]->Fill(eta, pt);
1986  }
1987  }
1988  histograms.h_recohit[count]->Fill(nhits);
1989  histograms.h_recolayer[count]->Fill(nlayers);
1990  histograms.h_recopixellayer[count]->Fill(nPixelLayers);
1991  histograms.h_reco3Dlayer[count]->Fill(n3DLayers);
1992  histograms.h_recopu[count]->Fill(numVertices);
1993  if ((*trackSelectorVsPhi)(track, bsPosition)) {
1994  histograms.h_reco2pu[count]->Fill(numVertices);
1995  }
1996 
1997  if (!mvas.empty()) {
1998  assert(histograms.h_reco_mva.size() > static_cast<size_t>(count));
1999  assert(histograms.h_reco_mvacut.size() > static_cast<size_t>(count));
2000  assert(histograms.h_reco_mva_hp.size() > static_cast<size_t>(count));
2001  assert(histograms.h_reco_mvacut_hp.size() > static_cast<size_t>(count));
2002 
2003  fillMVAHistos(histograms.h_reco_mva[count],
2004  histograms.h_reco_mvacut[count],
2005  histograms.h_reco_mva_hp[count],
2006  histograms.h_reco_mvacut_hp[count],
2007  mvas,
2008  selectsLoose,
2009  selectsHP);
2010  }
2011 
2012  if (isMatched) {
2013  if (paramsValid) {
2014  histograms.h_assoc2eta[count]->Fill(eta);
2015  histograms.h_assoc2phi[count]->Fill(phi);
2016  histograms.h_assoc2pT[count]->Fill(pt);
2017  histograms.h_assoc2pTvseta[count]->Fill(eta, pt);
2018  histograms.h_assoc2dxy[count]->Fill(dxy);
2019  histograms.h_assoc2dz[count]->Fill(dz);
2020  histograms.h_assoc2hit[count]->Fill(nhits);
2021  histograms.h_assoc2chi2[count]->Fill(chi2);
2022  histograms.h_assoc2chi2prob[count]->Fill(chi2prob);
2023  histograms.assoc_chi2_vs_eta[count]->Fill(eta, chi2);
2024  histograms.assoc_chi2prob_vs_eta[count]->Fill(eta, chi2prob);
2025  histograms.assoc_chi2_vs_pt[count]->Fill(pt, chi2);
2026  histograms.assoc_chi2prob_vs_pt[count]->Fill(pt, chi2prob);
2027  if (dRJet <= 99999) { //dRJet can be set to numeric_limits max^2, this is a protection
2028  histograms.assoc_chi2_vs_drj[count]->Fill(dRJet, chi2);
2029  histograms.assoc_chi2prob_vs_drj[count]->Fill(dRJet, chi2prob);
2030  }
2031  histograms.h_assoc2vertpos[count]->Fill(vertxy);
2032  histograms.h_assoc2zpos[count]->Fill(vertz);
2033  histograms.h_assoc2dr[count]->Fill(dR);
2034  histograms.h_assoc2drj[count]->Fill(dRJet);
2035  if (fillSeedingLayerSets)
2036  histograms.h_assoc2_seedingLayerSet[count]->Fill(seedingLayerSetBin);
2037  if (pvPosition) {
2038  histograms.h_assoc2dxypv[count]->Fill(dxypv);
2039  histograms.h_assoc2dzpv[count]->Fill(dzpv);
2040  histograms.h_assoc2dxypvzoomed[count]->Fill(dxypv);
2041  histograms.h_assoc2dzpvzoomed[count]->Fill(dzpv);
2042 
2043  if (doDzPVcutPlots_)
2044  histograms.h_assoc2_dzpvcut[count]->Fill(std::abs(dzpv));
2045  }
2046  if (simPVPosition) {
2047  histograms.h_assoc2_simpvz[count]->Fill(simpvz);
2048  }
2049  }
2050  histograms.h_assoc2layer[count]->Fill(nlayers);
2051  histograms.h_assoc2pixellayer[count]->Fill(nPixelLayers);
2052  histograms.h_assoc23Dlayer[count]->Fill(n3DLayers);
2053  histograms.h_assoc2pu[count]->Fill(numVertices);
2054 
2055  if (!mvas.empty()) {
2056  assert(histograms.h_reco_mva.size() > static_cast<size_t>(count));
2057  assert(histograms.h_reco_mvacut.size() > static_cast<size_t>(count));
2058  assert(histograms.h_reco_mva_hp.size() > static_cast<size_t>(count));
2059  assert(histograms.h_reco_mvacut_hp.size() > static_cast<size_t>(count));
2060  fillMVAHistos(histograms.h_assoc2_mva[count],
2061  histograms.h_assoc2_mvacut[count],
2062  histograms.h_assoc2_mva_hp[count],
2063  histograms.h_assoc2_mvacut_hp[count],
2064  mvas,
2065  selectsLoose,
2066  selectsHP);
2067  assert(histograms.h_assoc2_mva_vs_pt.size() > static_cast<size_t>(count));
2068  assert(histograms.h_assoc2_mva_vs_pt_hp.size() > static_cast<size_t>(count));
2069  fillMVAHistos(pt,
2070  histograms.h_assoc2_mva_vs_pt[count],
2071  histograms.h_assoc2_mva_vs_pt_hp[count],
2072  mvas,
2073  selectsLoose,
2074  selectsHP);
2075  assert(histograms.h_assoc2_mva_vs_eta.size() > static_cast<size_t>(count));
2076  assert(histograms.h_assoc2_mva_vs_eta_hp.size() > static_cast<size_t>(count));
2077  fillMVAHistos(eta,
2078  histograms.h_assoc2_mva_vs_eta[count],
2079  histograms.h_assoc2_mva_vs_eta_hp[count],
2080  mvas,
2081  selectsLoose,
2082  selectsHP);
2083  }
2084 
2085  if (histograms.nrecHit_vs_nsimHit_rec2sim[count])
2086  histograms.nrecHit_vs_nsimHit_rec2sim[count]->Fill(track.numberOfValidHits(), nSimHits);
2087  histograms.h_assocFraction[count]->Fill(sharedFraction);
2088  histograms.h_assocSharedHit[count]->Fill(sharedHits);
2089 
2090  if (!doSeedPlots_ && !isChargeMatched) {
2091  histograms.h_misideta[count]->Fill(eta);
2092  histograms.h_misidphi[count]->Fill(phi);
2093  histograms.h_misidpT[count]->Fill(pt);
2094  histograms.h_misidpTvseta[count]->Fill(eta, pt);
2095  histograms.h_misiddxy[count]->Fill(dxy);
2096  histograms.h_misiddz[count]->Fill(dz);
2097  histograms.h_misidhit[count]->Fill(nhits);
2098  histograms.h_misidlayer[count]->Fill(nlayers);
2099  histograms.h_misidpixellayer[count]->Fill(nPixelLayers);
2100  histograms.h_misid3Dlayer[count]->Fill(n3DLayers);
2101  histograms.h_misidpu[count]->Fill(numVertices);
2102  histograms.h_misidchi2[count]->Fill(chi2);
2103  histograms.h_misidchi2prob[count]->Fill(chi2prob);
2104  if (pvPosition) {
2105  histograms.h_misiddxypv[count]->Fill(dxypv);
2106  histograms.h_misiddzpv[count]->Fill(dzpv);
2107  histograms.h_misiddxypvzoomed[count]->Fill(dxypv);
2108  histograms.h_misiddzpvzoomed[count]->Fill(dzpv);
2109  }
2110  }
2111 
2112  if (numAssocRecoTracks > 1) {
2113  if (paramsValid) {
2114  histograms.h_loopereta[count]->Fill(eta);
2115  histograms.h_looperphi[count]->Fill(phi);
2116  histograms.h_looperpT[count]->Fill(pt);
2117  histograms.h_looperpTvseta[count]->Fill(eta, pt);
2118  histograms.h_looperdxy[count]->Fill(dxy);
2119  histograms.h_looperdz[count]->Fill(dz);
2120  histograms.h_looperchi2[count]->Fill(chi2);
2121  histograms.h_looperchi2prob[count]->Fill(chi2prob);
2122  histograms.h_loopervertpos[count]->Fill(vertxy);
2123  histograms.h_looperzpos[count]->Fill(vertz);
2124  histograms.h_looperdr[count]->Fill(dR);
2125  histograms.h_looperdrj[count]->Fill(dRJet);
2126  if (fillSeedingLayerSets)
2127  histograms.h_looper_seedingLayerSet[count]->Fill(seedingLayerSetBin);
2128  if (pvPosition) {
2129  histograms.h_looperdxypv[count]->Fill(dxypv);
2130  histograms.h_looperdzpv[count]->Fill(dzpv);
2131  histograms.h_looperdxypvzoomed[count]->Fill(dxypv);
2132  histograms.h_looperdzpvzoomed[count]->Fill(dzpv);
2133  }
2134  if (simPVPosition) {
2135  histograms.h_looper_simpvz[count]->Fill(simpvz);
2136  }
2137  }
2138  histograms.h_looperhit[count]->Fill(nhits);
2139  histograms.h_looperlayer[count]->Fill(nlayers);
2140  histograms.h_looperpixellayer[count]->Fill(nPixelLayers);
2141  histograms.h_looper3Dlayer[count]->Fill(n3DLayers);
2142  histograms.h_looperpu[count]->Fill(numVertices);
2143  }
2144  if (!isSigMatched) {
2145  if (paramsValid) {
2146  histograms.h_pileupeta[count]->Fill(eta);
2147  histograms.h_pileupphi[count]->Fill(phi);
2148  histograms.h_pileuppT[count]->Fill(pt);
2149  histograms.h_pileuppTvseta[count]->Fill(eta, pt);
2150  histograms.h_pileupdxy[count]->Fill(dxy);
2151  histograms.h_pileupdz[count]->Fill(dz);
2152  histograms.h_pileupchi2[count]->Fill(chi2);
2153  histograms.h_pileupchi2prob[count]->Fill(chi2prob);
2154  histograms.h_pileupvertpos[count]->Fill(vertxy);
2155  histograms.h_pileupzpos[count]->Fill(vertz);
2156  histograms.h_pileupdr[count]->Fill(dR);
2157  histograms.h_pileupdrj[count]->Fill(dRJet);
2158  if (fillSeedingLayerSets)
2159  histograms.h_pileup_seedingLayerSet[count]->Fill(seedingLayerSetBin);
2160  if (pvPosition) {
2161  histograms.h_pileupdxypv[count]->Fill(dxypv);
2162  histograms.h_pileupdzpv[count]->Fill(dzpv);
2163  histograms.h_pileupdxypvzoomed[count]->Fill(dxypv);
2164  histograms.h_pileupdzpvzoomed[count]->Fill(dzpv);
2165 
2166  if (doDzPVcutPlots_)
2167  histograms.h_pileup_dzpvcut[count]->Fill(std::abs(dzpv));
2168  }
2169  if (simPVPosition) {
2170  histograms.h_pileup_simpvz[count]->Fill(simpvz);
2171  }
2172  }
2173  histograms.h_pileuphit[count]->Fill(nhits);
2174  histograms.h_pileuplayer[count]->Fill(nlayers);
2175  histograms.h_pileuppixellayer[count]->Fill(nPixelLayers);
2176  histograms.h_pileup3Dlayer[count]->Fill(n3DLayers);
2177  histograms.h_pileuppu[count]->Fill(numVertices);
2178  }
2179  } else { // !isMatched
2180  if (!mvas.empty()) {
2181  assert(histograms.h_fake_mva_vs_pt.size() > static_cast<size_t>(count));
2182  assert(histograms.h_fake_mva_vs_pt_hp.size() > static_cast<size_t>(count));
2183  assert(histograms.h_fake_mva_vs_eta.size() > static_cast<size_t>(count));
2184  assert(histograms.h_fake_mva_vs_eta_hp.size() > static_cast<size_t>(count));
2185  fillMVAHistos(
2186  pt, histograms.h_fake_mva_vs_pt[count], histograms.h_fake_mva_vs_pt_hp[count], mvas, selectsLoose, selectsHP);
2187  fillMVAHistos(eta,
2188  histograms.h_fake_mva_vs_eta[count],
2189  histograms.h_fake_mva_vs_eta_hp[count],
2190  mvas,
2191  selectsLoose,
2192  selectsHP);
2193  }
2194  }
2195 }
bool trackFromSeedFitFailed(const reco::Track &track)
std::unique_ptr< RecoTrackSelectorBase > trackSelectorVsPhi
assert(be >=bs)
unsigned int getSeedingLayerSetBin(const reco::Track &track, const TrackerTopology &ttopo) const
T sqrt(T t)
Definition: SSEVec.h:19
std::unique_ptr< RecoTrackSelectorBase > trackSelectorVsPt
Abs< T >::type abs(const T &t)
Definition: Abs.h:22
bool isMatched(TrackingRecHit const &hit)
std::vector< std::string > seedingLayerSetNames
std::unique_ptr< RecoTrackSelectorBase > trackSelectorVsEta

◆ fill_generic_simTrack_histos()

void MTVHistoProducerAlgoForTracker::fill_generic_simTrack_histos ( const Histograms histograms,
const TrackingParticle::Vector momentumTP,
const TrackingParticle::Point vertex,
int  bx 
) const

Definition at line 1714 of file MTVHistoProducerAlgoForTracker.cc.

References nano_mu_digi_cff::bx, and mathSSE::sqrt().

1717  {
1718  if (bx == 0) {
1719  histograms.h_ptSIM->Fill(sqrt(momentumTP.perp2()));
1720  histograms.h_etaSIM->Fill(momentumTP.eta());
1721  histograms.h_phiSIM->Fill(momentumTP.phi());
1722  histograms.h_vertposSIM->Fill(sqrt(vertexTP.perp2()));
1723  }
1724  histograms.h_bunchxSIM->Fill(bx);
1725 }
T sqrt(T t)
Definition: SSEVec.h:19

◆ fill_recoAssociated_simTrack_histos() [1/2]

void MTVHistoProducerAlgoForTracker::fill_recoAssociated_simTrack_histos ( const Histograms histograms,
int  count,
const TrackingParticle tp,
const TrackingParticle::Vector momentumTP,
const TrackingParticle::Point vertexTP,
double  dxy,
double  dz,
double  dxyPV,
double  dzPV,
int  nSimHits,
int  nSimLayers,
int  nSimPixelLayers,
int  nSimStripMonoAndStereoLayers,
const reco::Track track,
int  numVertices,
double  dR,
double  dR_jet,
const math::XYZPoint pvPosition,
const TrackingVertex::LorentzVector simPVPosition,
const math::XYZPoint bsPosition,
const std::vector< float > &  mvas,
unsigned int  selectsLoose,
unsigned int  selectsHP 
) const

Definition at line 1727 of file MTVHistoProducerAlgoForTracker.cc.

References funct::abs(), submitPVResolutionJobs::count, doDzPVcutPlots_, HGC3DClusterGenMatchSelector_cfi::dR, PVValHelper::eta, getEta(), getPt(), mps_fire::i, trackerHitRTTI::isMatched(), maxMVA, phi, DiDispStaMuonMonitor_cfi::pt, mathSSE::sqrt(), cmsswSequenceInfo::tp, TpSelectorForEfficiencyVsEta, TpSelectorForEfficiencyVsPhi, TpSelectorForEfficiencyVsPt, TpSelectorForEfficiencyVsVTXR, TpSelectorForEfficiencyVsVTXZ, and HLT_2023v12_cff::track.

1750  {
1751  bool isMatched = track;
1752  const auto eta = getEta(momentumTP.eta());
1753  const auto phi = momentumTP.phi();
1754  const auto pt = getPt(sqrt(momentumTP.perp2()));
1755  const auto nSim3DLayers = nSimPixelLayers + nSimStripMonoAndStereoLayers;
1756 
1757  const auto vertexTPwrtBS = vertexTP - bsPosition;
1758  const auto vertxy = std::sqrt(vertexTPwrtBS.perp2());
1759  const auto vertz = vertexTPwrtBS.z();
1760 
1761  //efficiency vs. cut on MVA
1762  //
1763  // Note that this includes also pileup TPs, as "signalOnly"
1764  // selection is applied only in the TpSelector*. Have to think if
1765  // this is really what we want.
1766  if (isMatched) {
1767  for (size_t i = 0; i < mvas.size(); ++i) {
1768  if (i <= selectsLoose) {
1769  histograms.h_simul2_mvacut[count][i]->Fill(maxMVA);
1770  histograms.h_assoc_mvacut[count][i]->Fill(mvas[i]);
1771  }
1772  if (i >= 1 && i <= selectsHP) {
1773  histograms.h_simul2_mvacut_hp[count][i]->Fill(maxMVA);
1774  histograms.h_assoc_mvacut_hp[count][i]->Fill(mvas[i]);
1775  }
1776  }
1777  }
1778 
1779  if ((*TpSelectorForEfficiencyVsEta)(tp)) {
1780  //effic vs eta
1781  histograms.h_simuleta[count]->Fill(eta);
1782  if (isMatched)
1783  histograms.h_assoceta[count]->Fill(eta);
1784  }
1785 
1786  if ((*TpSelectorForEfficiencyVsPhi)(tp)) {
1787  histograms.h_simulphi[count]->Fill(phi);
1788  if (isMatched)
1789  histograms.h_assocphi[count]->Fill(phi);
1790  //effic vs hits
1791  histograms.h_simulhit[count]->Fill(nSimHits);
1792  histograms.h_simullayer[count]->Fill(nSimLayers);
1793  histograms.h_simulpixellayer[count]->Fill(nSimPixelLayers);
1794  histograms.h_simul3Dlayer[count]->Fill(nSim3DLayers);
1795  if (isMatched) {
1796  histograms.h_assochit[count]->Fill(nSimHits);
1797  histograms.h_assoclayer[count]->Fill(nSimLayers);
1798  histograms.h_assocpixellayer[count]->Fill(nSimPixelLayers);
1799  histograms.h_assoc3Dlayer[count]->Fill(nSim3DLayers);
1800  if (histograms.nrecHit_vs_nsimHit_sim2rec[count])
1801  histograms.nrecHit_vs_nsimHit_sim2rec[count]->Fill(track->numberOfValidHits(), nSimHits);
1802  }
1803  //effic vs pu
1804  histograms.h_simulpu[count]->Fill(numVertices);
1805  if (isMatched)
1806  histograms.h_assocpu[count]->Fill(numVertices);
1807  //efficiency vs dR
1808  histograms.h_simuldr[count]->Fill(dR);
1809  if (isMatched)
1810  histograms.h_assocdr[count]->Fill(dR);
1811  //efficiency vs dR jet
1812  histograms.h_simuldrj[count]->Fill(dRJet);
1813  if (isMatched)
1814  histograms.h_assocdrj[count]->Fill(dRJet);
1815  }
1816 
1817  if ((*TpSelectorForEfficiencyVsPt)(tp)) {
1818  histograms.h_simulpT[count]->Fill(pt);
1819  if (isMatched)
1820  histograms.h_assocpT[count]->Fill(pt);
1821  }
1822 
1824  histograms.h_simuldxy[count]->Fill(dxySim);
1825  if (isMatched)
1826  histograms.h_assocdxy[count]->Fill(dxySim);
1827  if (pvPosition) {
1828  histograms.h_simuldxypv[count]->Fill(dxyPVSim);
1829  histograms.h_simuldxypvzoomed[count]->Fill(dxyPVSim);
1830  if (isMatched) {
1831  histograms.h_assocdxypv[count]->Fill(dxyPVSim);
1832  histograms.h_assocdxypvzoomed[count]->Fill(dxyPVSim);
1833  }
1834  }
1835 
1836  histograms.h_simulvertpos[count]->Fill(vertxy);
1837  if (isMatched)
1838  histograms.h_assocvertpos[count]->Fill(vertxy);
1839  }
1840 
1842  histograms.h_simuldz[count]->Fill(dzSim);
1843  if (isMatched)
1844  histograms.h_assocdz[count]->Fill(dzSim);
1845 
1846  histograms.h_simulzpos[count]->Fill(vertz);
1847  if (isMatched)
1848  histograms.h_assoczpos[count]->Fill(vertz);
1849 
1850  if (pvPosition) {
1851  histograms.h_simuldzpv[count]->Fill(dzPVSim);
1852  histograms.h_simuldzpvzoomed[count]->Fill(dzPVSim);
1853 
1854  if (doDzPVcutPlots_)
1855  histograms.h_simul_dzpvcut[count]->Fill(0);
1856 
1857  if (isMatched) {
1858  histograms.h_assocdzpv[count]->Fill(dzPVSim);
1859  histograms.h_assocdzpvzoomed[count]->Fill(dzPVSim);
1860 
1861  if (doDzPVcutPlots_) {
1862  histograms.h_simul2_dzpvcut[count]->Fill(0);
1863 
1864  const double dzpvcut = std::abs(track->dz(*pvPosition));
1865  histograms.h_assoc_dzpvcut[count]->Fill(dzpvcut);
1866  }
1867  }
1868  }
1869  if (simPVPosition) {
1870  const auto simpvz = simPVPosition->z();
1871  histograms.h_simul_simpvz[count]->Fill(simpvz);
1872  if (isMatched) {
1873  histograms.h_assoc_simpvz[count]->Fill(simpvz);
1874  }
1875  }
1876  }
1877 }
std::unique_ptr< TrackingParticleSelector > TpSelectorForEfficiencyVsPt
std::unique_ptr< TrackingParticleSelector > TpSelectorForEfficiencyVsEta
std::unique_ptr< TrackingParticleSelector > TpSelectorForEfficiencyVsVTXR
T sqrt(T t)
Definition: SSEVec.h:19
Abs< T >::type abs(const T &t)
Definition: Abs.h:22
bool isMatched(TrackingRecHit const &hit)
std::unique_ptr< TrackingParticleSelector > TpSelectorForEfficiencyVsPhi
std::unique_ptr< TrackingParticleSelector > TpSelectorForEfficiencyVsVTXZ

◆ fill_recoAssociated_simTrack_histos() [2/2]

void MTVHistoProducerAlgoForTracker::fill_recoAssociated_simTrack_histos ( const Histograms histograms,
int  count,
const reco::GenParticle tp,
const TrackingParticle::Vector momentumTP,
const TrackingParticle::Point vertexTP,
double  dxy,
double  dz,
int  nSimHits,
const reco::Track track,
int  numVertices 
) const

Definition at line 2566 of file MTVHistoProducerAlgoForTracker.cc.

References submitPVResolutionJobs::count, getEta(), getPt(), GpSelectorForEfficiencyVsEta, GpSelectorForEfficiencyVsPhi, GpSelectorForEfficiencyVsPt, GpSelectorForEfficiencyVsVTXR, GpSelectorForEfficiencyVsVTXZ, trackerHitRTTI::isMatched(), mathSSE::sqrt(), cmsswSequenceInfo::tp, and HLT_2023v12_cff::track.

2575  {
2576  bool isMatched = track;
2577 
2578  if ((*GpSelectorForEfficiencyVsEta)(tp)) {
2579  //effic vs eta
2580  histograms.h_simuleta[count]->Fill(getEta(momentumTP.eta()));
2581  if (isMatched)
2582  histograms.h_assoceta[count]->Fill(getEta(momentumTP.eta()));
2583  }
2584 
2585  if ((*GpSelectorForEfficiencyVsPhi)(tp)) {
2586  histograms.h_simulphi[count]->Fill(momentumTP.phi());
2587  if (isMatched)
2588  histograms.h_assocphi[count]->Fill(momentumTP.phi());
2589  //effic vs hits
2590  histograms.h_simulhit[count]->Fill((int)nSimHits);
2591  if (isMatched) {
2592  histograms.h_assochit[count]->Fill((int)nSimHits);
2593  if (histograms.nrecHit_vs_nsimHit_sim2rec[count])
2594  histograms.nrecHit_vs_nsimHit_sim2rec[count]->Fill(track->numberOfValidHits(), nSimHits);
2595  }
2596  //effic vs pu
2597  histograms.h_simulpu[count]->Fill(numVertices);
2598  if (isMatched)
2599  histograms.h_assocpu[count]->Fill(numVertices);
2600  //efficiency vs dR
2601  //not implemented for now
2602  }
2603 
2604  if ((*GpSelectorForEfficiencyVsPt)(tp)) {
2605  histograms.h_simulpT[count]->Fill(getPt(sqrt(momentumTP.perp2())));
2606  histograms.h_simulpTvseta[count]->Fill(getEta(momentumTP.eta()), getPt(sqrt(momentumTP.perp2())));
2607  if (isMatched) {
2608  histograms.h_assocpT[count]->Fill(getPt(sqrt(momentumTP.perp2())));
2609  histograms.h_assocpTvseta[count]->Fill(getEta(momentumTP.eta()), getPt(sqrt(momentumTP.perp2())));
2610  }
2611  }
2612 
2614  histograms.h_simuldxy[count]->Fill(dxySim);
2615  if (isMatched)
2616  histograms.h_assocdxy[count]->Fill(dxySim);
2617 
2618  histograms.h_simulvertpos[count]->Fill(sqrt(vertexTP.perp2()));
2619  if (isMatched)
2620  histograms.h_assocvertpos[count]->Fill(sqrt(vertexTP.perp2()));
2621  }
2622 
2624  histograms.h_simuldz[count]->Fill(dzSim);
2625  if (isMatched)
2626  histograms.h_assocdz[count]->Fill(dzSim);
2627 
2628  histograms.h_simulzpos[count]->Fill(vertexTP.z());
2629  if (isMatched)
2630  histograms.h_assoczpos[count]->Fill(vertexTP.z());
2631  }
2632 }
std::unique_ptr< GenParticleCustomSelector > GpSelectorForEfficiencyVsVTXR
std::unique_ptr< GenParticleCustomSelector > GpSelectorForEfficiencyVsVTXZ
std::unique_ptr< GenParticleCustomSelector > GpSelectorForEfficiencyVsPt
std::unique_ptr< GenParticleCustomSelector > GpSelectorForEfficiencyVsPhi
T sqrt(T t)
Definition: SSEVec.h:19
std::unique_ptr< GenParticleCustomSelector > GpSelectorForEfficiencyVsEta
bool isMatched(TrackingRecHit const &hit)

◆ fill_ResoAndPull_recoTrack_histos()

void MTVHistoProducerAlgoForTracker::fill_ResoAndPull_recoTrack_histos ( const Histograms histograms,
int  count,
const TrackingParticle::Vector momentumTP,
const TrackingParticle::Point vertexTP,
int  chargeTP,
const reco::Track track,
const math::XYZPoint bsPosition 
) const

Definition at line 2267 of file MTVHistoProducerAlgoForTracker.cc.

References submitPVResolutionJobs::count, TrackingParticleIP::dxy(), TrackingParticleIP::dz(), getEta(), getPt(), getRecoMomentum(), LogTrace, M_PI, mathSSE::sqrt(), funct::tan(), HLT_2023v12_cff::track, and trackFromSeedFitFailed().

2273  {
2275  return;
2276 
2277  // evaluation of TP parameters
2278  double qoverpSim = chargeTP / sqrt(momentumTP.x() * momentumTP.x() + momentumTP.y() * momentumTP.y() +
2279  momentumTP.z() * momentumTP.z());
2280  double lambdaSim = M_PI / 2 - momentumTP.theta();
2281  double phiSim = momentumTP.phi();
2282  double dxySim = TrackingParticleIP::dxy(vertexTP, momentumTP, bsPosition);
2283  double dzSim = TrackingParticleIP::dz(vertexTP, momentumTP, bsPosition);
2284 
2285  // reco::Track::ParameterVector rParameters = track.parameters(); // UNUSED
2286 
2287  double qoverpRec(0);
2288  double qoverpErrorRec(0);
2289  double ptRec(0);
2290  double ptErrorRec(0);
2291  double lambdaRec(0);
2292  double lambdaErrorRec(0);
2293  double phiRec(0);
2294  double phiErrorRec(0);
2295 
2296  /* TO BE FIXED LATER -----------
2297  //loop to decide whether to take gsfTrack (utilisation of mode-function) or common track
2298  const GsfTrack* gsfTrack(0);
2299  if(useGsf){
2300  gsfTrack = dynamic_cast<const GsfTrack*>(&(*track));
2301  if (gsfTrack==0) edm::LogInfo("TrackValidator") << "Trying to access mode for a non-GsfTrack";
2302  }
2303 
2304  if (gsfTrack) {
2305  // get values from mode
2306  getRecoMomentum(*gsfTrack, ptRec, ptErrorRec, qoverpRec, qoverpErrorRec,
2307  lambdaRec,lambdaErrorRec, phiRec, phiErrorRec);
2308  }
2309 
2310  else {
2311  // get values from track (without mode)
2312  getRecoMomentum(*track, ptRec, ptErrorRec, qoverpRec, qoverpErrorRec,
2313  lambdaRec,lambdaErrorRec, phiRec, phiErrorRec);
2314  }
2315  */
2316  getRecoMomentum(track, ptRec, ptErrorRec, qoverpRec, qoverpErrorRec, lambdaRec, lambdaErrorRec, phiRec, phiErrorRec);
2317  // -------------
2318 
2319  double ptError = ptErrorRec;
2320  double ptres = ptRec - sqrt(momentumTP.perp2());
2321  double etares = track.eta() - momentumTP.Eta();
2322 
2323  double dxyRec = track.dxy(bsPosition);
2324  double dzRec = track.dz(bsPosition);
2325 
2326  const auto phiRes = phiRec - phiSim;
2327  const auto dxyRes = dxyRec - dxySim;
2328  const auto dzRes = dzRec - dzSim;
2329  const auto cotThetaRes = 1 / tan(M_PI * 0.5 - lambdaRec) - 1 / tan(M_PI * 0.5 - lambdaSim);
2330 
2331  // eta residue; pt, k, theta, phi, dxy, dz pulls
2332  double qoverpPull = (qoverpRec - qoverpSim) / qoverpErrorRec;
2333  double thetaPull = (lambdaRec - lambdaSim) / lambdaErrorRec;
2334  double phiPull = phiRes / phiErrorRec;
2335  double dxyPull = dxyRes / track.dxyError();
2336  double dzPull = dzRes / track.dzError();
2337 
2338 #ifdef EDM_ML_DEBUG
2339  double contrib_Qoverp = ((qoverpRec - qoverpSim) / qoverpErrorRec) * ((qoverpRec - qoverpSim) / qoverpErrorRec) / 5;
2340  double contrib_dxy = ((dxyRec - dxySim) / track.dxyError()) * ((dxyRec - dxySim) / track.dxyError()) / 5;
2341  double contrib_dz = ((dzRec - dzSim) / track.dzError()) * ((dzRec - dzSim) / track.dzError()) / 5;
2342  double contrib_theta = ((lambdaRec - lambdaSim) / lambdaErrorRec) * ((lambdaRec - lambdaSim) / lambdaErrorRec) / 5;
2343  double contrib_phi = ((phiRec - phiSim) / phiErrorRec) * ((phiRec - phiSim) / phiErrorRec) / 5;
2344 
2345  LogTrace("TrackValidatorTEST")
2346  //<< "assocChi2=" << tp.begin()->second << "\n"
2347  << ""
2348  << "\n"
2349  << "ptREC=" << ptRec << "\n"
2350  << "etaREC=" << track.eta() << "\n"
2351  << "qoverpREC=" << qoverpRec << "\n"
2352  << "dxyREC=" << dxyRec << "\n"
2353  << "dzREC=" << dzRec << "\n"
2354  << "thetaREC=" << track.theta() << "\n"
2355  << "phiREC=" << phiRec << "\n"
2356  << ""
2357  << "\n"
2358  << "qoverpError()=" << qoverpErrorRec << "\n"
2359  << "dxyError()=" << track.dxyError() << "\n"
2360  << "dzError()=" << track.dzError() << "\n"
2361  << "thetaError()=" << lambdaErrorRec << "\n"
2362  << "phiError()=" << phiErrorRec << "\n"
2363  << ""
2364  << "\n"
2365  << "ptSIM=" << sqrt(momentumTP.perp2()) << "\n"
2366  << "etaSIM=" << momentumTP.Eta() << "\n"
2367  << "qoverpSIM=" << qoverpSim << "\n"
2368  << "dxySIM=" << dxySim << "\n"
2369  << "dzSIM=" << dzSim << "\n"
2370  << "thetaSIM=" << M_PI / 2 - lambdaSim << "\n"
2371  << "phiSIM=" << phiSim << "\n"
2372  << ""
2373  << "\n"
2374  << "contrib_Qoverp=" << contrib_Qoverp << "\n"
2375  << "contrib_dxy=" << contrib_dxy << "\n"
2376  << "contrib_dz=" << contrib_dz << "\n"
2377  << "contrib_theta=" << contrib_theta << "\n"
2378  << "contrib_phi=" << contrib_phi << "\n"
2379  << ""
2380  << "\n"
2381  << "chi2PULL=" << contrib_Qoverp + contrib_dxy + contrib_dz + contrib_theta + contrib_phi << "\n";
2382 #endif
2383 
2384  histograms.h_pullQoverp[count]->Fill(qoverpPull);
2385  histograms.h_pullTheta[count]->Fill(thetaPull);
2386  histograms.h_pullPhi[count]->Fill(phiPull);
2387  histograms.h_pullDxy[count]->Fill(dxyPull);
2388  histograms.h_pullDz[count]->Fill(dzPull);
2389 
2390  const auto etaSim = getEta(momentumTP.eta());
2391  const auto ptSim = getPt(sqrt(momentumTP.perp2()));
2392 
2393  histograms.h_pt[count]->Fill(ptres / ptError);
2394  histograms.h_eta[count]->Fill(etares);
2395  //histograms.etares_vs_eta[count]->Fill(getEta(track.eta()),etares);
2396  histograms.etares_vs_eta[count]->Fill(etaSim, etares);
2397 
2398  //resolution of track params: fill 2D histos
2399  histograms.dxyres_vs_eta[count]->Fill(etaSim, dxyRes);
2400  histograms.ptres_vs_eta[count]->Fill(etaSim, ptres / ptRec);
2401  histograms.dzres_vs_eta[count]->Fill(etaSim, dzRes);
2402  histograms.phires_vs_eta[count]->Fill(etaSim, phiRes);
2403  histograms.cotThetares_vs_eta[count]->Fill(etaSim, cotThetaRes);
2404 
2405  //same as before but vs pT
2406  histograms.dxyres_vs_pt[count]->Fill(ptSim, dxyRes);
2407  histograms.ptres_vs_pt[count]->Fill(ptSim, ptres / ptRec);
2408  histograms.dzres_vs_pt[count]->Fill(ptSim, dzRes);
2409  histograms.phires_vs_pt[count]->Fill(ptSim, phiRes);
2410  histograms.cotThetares_vs_pt[count]->Fill(ptSim, cotThetaRes);
2411 
2412  //pulls of track params vs eta: fill 2D histos
2413  histograms.dxypull_vs_eta[count]->Fill(etaSim, dxyPull);
2414  histograms.ptpull_vs_eta[count]->Fill(etaSim, ptres / ptError);
2415  histograms.dzpull_vs_eta[count]->Fill(etaSim, dzPull);
2416  histograms.phipull_vs_eta[count]->Fill(etaSim, phiPull);
2417  histograms.thetapull_vs_eta[count]->Fill(etaSim, thetaPull);
2418 
2419  //pulls of track params vs pt: fill 2D histos
2420  histograms.dxypull_vs_pt[count]->Fill(ptSim, dxyPull);
2421  histograms.ptpull_vs_pt[count]->Fill(ptSim, ptres / ptError);
2422  histograms.dzpull_vs_pt[count]->Fill(ptSim, dzPull);
2423  histograms.phipull_vs_pt[count]->Fill(ptSim, phiPull);
2424  histograms.thetapull_vs_pt[count]->Fill(ptSim, thetaPull);
2425 
2426  //plots vs phi
2427  histograms.nhits_vs_phi[count]->Fill(phiRec, track.numberOfValidHits());
2428  histograms.chi2_vs_phi[count]->Fill(phiRec, track.normalizedChi2());
2429  histograms.ptmean_vs_eta_phi[count]->Fill(phiRec, getEta(track.eta()), ptRec);
2430  histograms.phimean_vs_eta_phi[count]->Fill(phiRec, getEta(track.eta()), phiRec);
2431 
2432  histograms.dxyres_vs_phi[count]->Fill(phiSim, dxyRes);
2433  histograms.ptres_vs_phi[count]->Fill(phiSim, ptres / ptRec);
2434  histograms.dzres_vs_phi[count]->Fill(phiSim, dzRes);
2435  histograms.phires_vs_phi[count]->Fill(phiSim, phiRes);
2436 
2437  histograms.ptpull_vs_phi[count]->Fill(phiSim, ptres / ptError);
2438  histograms.phipull_vs_phi[count]->Fill(phiSim, phiPull);
2439  histograms.thetapull_vs_phi[count]->Fill(phiSim, thetaPull);
2440 }
bool trackFromSeedFitFailed(const reco::Track &track)
#define LogTrace(id)
auto dz(const T_Vertex &vertex, const T_Momentum &momentum, const T_Point &point)
T sqrt(T t)
Definition: SSEVec.h:19
Tan< T >::type tan(const T &t)
Definition: Tan.h:22
#define M_PI
void getRecoMomentum(const reco::Track &track, double &pt, double &ptError, double &qoverp, double &qoverpError, double &lambda, double &lambdaError, double &phi, double &phiError) const
retrieval of reconstructed momentum components from reco::Track (== mean values for GSF) ...
auto dxy(const T_Vertex &vertex, const T_Momentum &momentum, const T_Point &point)

◆ fill_seed_histos()

void MTVHistoProducerAlgoForTracker::fill_seed_histos ( const Histograms histograms,
int  count,
int  seedsFitFailed,
int  seedsTotal 
) const

Definition at line 2634 of file MTVHistoProducerAlgoForTracker.cc.

References submitPVResolutionJobs::count.

2637  {
2638  histograms.h_seedsFitFailed[count]->Fill(seedsFitFailed);
2639  histograms.h_seedsFitFailedFraction[count]->Fill(static_cast<double>(seedsFitFailed) / seedsTotal);
2640 }

◆ fill_simAssociated_recoTrack_histos()

void MTVHistoProducerAlgoForTracker::fill_simAssociated_recoTrack_histos ( const Histograms histograms,
int  count,
const reco::Track track 
) const

Definition at line 2197 of file MTVHistoProducerAlgoForTracker.cc.

References submitPVResolutionJobs::count, doMTDPlots_, PVValHelper::eta, getEta(), getPt(), createfilelist::int, reco::HitPattern::MISSING_INNER_HITS, reco::HitPattern::MISSING_OUTER_HITS, DiDispStaMuonMonitor_cfi::pt, mathSSE::sqrt(), HLT_2023v12_cff::track, and trackFromSeedFitFailed().

2199  {
2200  //nchi2 and hits global distributions
2201  histograms.h_hits[count]->Fill(track.numberOfValidHits());
2202  histograms.h_losthits[count]->Fill(track.numberOfLostHits());
2203  histograms.h_nmisslayers_inner[count]->Fill(
2204  track.hitPattern().numberOfLostHits(reco::HitPattern::MISSING_INNER_HITS));
2205  histograms.h_nmisslayers_outer[count]->Fill(
2206  track.hitPattern().numberOfLostHits(reco::HitPattern::MISSING_OUTER_HITS));
2208  return;
2209 
2210  histograms.h_nchi2[count]->Fill(track.normalizedChi2());
2211  histograms.h_nchi2_prob[count]->Fill(TMath::Prob(track.chi2(), (int)track.ndof()));
2212  histograms.chi2_vs_nhits[count]->Fill(track.numberOfValidHits(), track.normalizedChi2());
2213  histograms.h_charge[count]->Fill(track.charge());
2214 
2215  //chi2 and #hit vs eta: fill 2D histos
2216  const auto eta = getEta(track.eta());
2217  histograms.chi2_vs_eta[count]->Fill(eta, track.normalizedChi2());
2218  histograms.nhits_vs_eta[count]->Fill(eta, track.numberOfValidHits());
2219  const auto pt = getPt(sqrt(track.momentum().perp2()));
2220  histograms.chi2_vs_pt[count]->Fill(pt, track.normalizedChi2());
2221  const auto pxbHits = track.hitPattern().numberOfValidPixelBarrelHits();
2222  const auto pxfHits = track.hitPattern().numberOfValidPixelEndcapHits();
2223  const auto tibHits = track.hitPattern().numberOfValidStripTIBHits();
2224  const auto tidHits = track.hitPattern().numberOfValidStripTIDHits();
2225  const auto tobHits = track.hitPattern().numberOfValidStripTOBHits();
2226  const auto tecHits = track.hitPattern().numberOfValidStripTECHits();
2227  histograms.nPXBhits_vs_eta[count]->Fill(eta, pxbHits);
2228  histograms.nPXFhits_vs_eta[count]->Fill(eta, pxfHits);
2229  histograms.nPXLhits_vs_eta[count]->Fill(eta, pxbHits + pxfHits);
2230  histograms.nTIBhits_vs_eta[count]->Fill(eta, tibHits);
2231  histograms.nTIDhits_vs_eta[count]->Fill(eta, tidHits);
2232  histograms.nTOBhits_vs_eta[count]->Fill(eta, tobHits);
2233  histograms.nTEChits_vs_eta[count]->Fill(eta, tecHits);
2234  histograms.nSTRIPhits_vs_eta[count]->Fill(eta, tibHits + tidHits + tobHits + tecHits);
2235  histograms.nLayersWithMeas_vs_eta[count]->Fill(eta, track.hitPattern().trackerLayersWithMeasurement());
2236  histograms.nPXLlayersWithMeas_vs_eta[count]->Fill(eta, track.hitPattern().pixelLayersWithMeasurement());
2237  if (doMTDPlots_) {
2238  // const auto mtdHits = track.hitPattern().numberOfValidTimingHits();
2239  const auto btlHits = track.hitPattern().numberOfValidTimingBTLHits();
2240  const auto etlHits = track.hitPattern().numberOfValidTimingETLHits();
2241  histograms.nMTDhits_vs_eta[count]->Fill(eta, btlHits + etlHits);
2242  histograms.nBTLhits_vs_eta[count]->Fill(eta, btlHits);
2243  histograms.nETLhits_vs_eta[count]->Fill(eta, etlHits);
2244  }
2245  int LayersAll = track.hitPattern().stripLayersWithMeasurement();
2246  int Layers2D = track.hitPattern().numberOfValidStripLayersWithMonoAndStereo();
2247  int Layers1D = LayersAll - Layers2D;
2248  histograms.nSTRIPlayersWithMeas_vs_eta[count]->Fill(eta, LayersAll);
2249  histograms.nSTRIPlayersWith1dMeas_vs_eta[count]->Fill(eta, Layers1D);
2250  histograms.nSTRIPlayersWith2dMeas_vs_eta[count]->Fill(eta, Layers2D);
2251 
2252  histograms.nlosthits_vs_eta[count]->Fill(eta, track.numberOfLostHits());
2253 }
bool trackFromSeedFitFailed(const reco::Track &track)
T sqrt(T t)
Definition: SSEVec.h:19

◆ fill_simTrackBased_histos()

void MTVHistoProducerAlgoForTracker::fill_simTrackBased_histos ( const Histograms histograms,
int  numSimTracks 
) const

Definition at line 1886 of file MTVHistoProducerAlgoForTracker.cc.

1886  {
1887  histograms.h_tracksSIM->Fill(numSimTracks);
1888 }

◆ fill_trackBased_histos()

void MTVHistoProducerAlgoForTracker::fill_trackBased_histos ( const Histograms histograms,
int  count,
int  assTracks,
int  numRecoTracks,
int  numRecoTracksSelected,
int  numSimTracksSelected 
) const

Definition at line 2255 of file MTVHistoProducerAlgoForTracker.cc.

References submitPVResolutionJobs::count.

2260  {
2261  histograms.h_tracks[count]->Fill(assTracks);
2262  histograms.h_fakes[count]->Fill(numRecoTracks - assTracks);
2263  if (histograms.nrec_vs_nsim[count])
2264  histograms.nrec_vs_nsim[count]->Fill(numSimTracksSelected, numRecoTracksSelected);
2265 }

◆ getEta()

double MTVHistoProducerAlgoForTracker::getEta ( double  eta) const
private

◆ getPt()

double MTVHistoProducerAlgoForTracker::getPt ( double  pt) const
private

◆ getRecoMomentum() [1/2]

void MTVHistoProducerAlgoForTracker::getRecoMomentum ( const reco::Track track,
double &  pt,
double &  ptError,
double &  qoverp,
double &  qoverpError,
double &  lambda,
double &  lambdaError,
double &  phi,
double &  phiError 
) const
private

retrieval of reconstructed momentum components from reco::Track (== mean values for GSF)

Definition at line 2442 of file MTVHistoProducerAlgoForTracker.cc.

References run3scouting_cff::lambdaError, phi, run3scouting_cff::phiError, DiDispStaMuonMonitor_cfi::pt, run3scouting_cff::qoverp, run3scouting_cff::qoverpError, and HLT_2023v12_cff::track.

Referenced by fill_ResoAndPull_recoTrack_histos().

2450  {
2451  pt = track.pt();
2452  ptError = track.ptError();
2453  qoverp = track.qoverp();
2454  qoverpError = track.qoverpError();
2455  lambda = track.lambda();
2456  lambdaError = track.lambdaError();
2457  phi = track.phi();
2458  phiError = track.phiError();
2459  // cout <<"test1" << endl;
2460 }

◆ getRecoMomentum() [2/2]

void MTVHistoProducerAlgoForTracker::getRecoMomentum ( const reco::GsfTrack gsfTrack,
double &  pt,
double &  ptError,
double &  qoverp,
double &  qoverpError,
double &  lambda,
double &  lambdaError,
double &  phi,
double &  phiError 
) const
private

retrieval of reconstructed momentum components based on the mode of a reco::GsfTrack

Definition at line 2462 of file MTVHistoProducerAlgoForTracker.cc.

References run3scouting_cff::lambdaError, reco::GsfTrack::lambdaMode(), reco::GsfTrack::lambdaModeError(), phi, run3scouting_cff::phiError, reco::GsfTrack::phiMode(), reco::GsfTrack::phiModeError(), DiDispStaMuonMonitor_cfi::pt, reco::GsfTrack::ptMode(), reco::GsfTrack::ptModeError(), run3scouting_cff::qoverp, run3scouting_cff::qoverpError, reco::GsfTrack::qoverpMode(), and reco::GsfTrack::qoverpModeError().

2470  {
2471  pt = gsfTrack.ptMode();
2472  ptError = gsfTrack.ptModeError();
2473  qoverp = gsfTrack.qoverpMode();
2474  qoverpError = gsfTrack.qoverpModeError();
2475  lambda = gsfTrack.lambdaMode();
2476  lambdaError = gsfTrack.lambdaModeError();
2477  phi = gsfTrack.phiMode();
2478  phiError = gsfTrack.phiModeError();
2479  // cout <<"test2" << endl;
2480 }
double phiModeError() const
error on phi from mode
Definition: GsfTrack.h:96
double qoverpModeError() const
error on signed transverse curvature from mode
Definition: GsfTrack.h:79
double ptMode() const
track transverse momentum from mode
Definition: GsfTrack.h:47
double lambdaModeError() const
error on lambda from mode
Definition: GsfTrack.h:92
double phiMode() const
azimuthal angle of momentum vector from mode
Definition: GsfTrack.h:55
double ptModeError() const
error on Pt (set to 1000 TeV if charge==0 for safety) from mode
Definition: GsfTrack.h:81
double qoverpMode() const
q/p from mode
Definition: GsfTrack.h:39
double lambdaMode() const
Lambda angle from mode.
Definition: GsfTrack.h:43

◆ getSeedingLayerSetBin()

unsigned int MTVHistoProducerAlgoForTracker::getSeedingLayerSetBin ( const reco::Track track,
const TrackerTopology ttopo 
) const
private

Definition at line 2496 of file MTVHistoProducerAlgoForTracker.cc.

References hcalRecHitTable_cff::detId, Exception, newFWLiteAna::found, mps_fire::i, trackerHitRTTI::isSingle(), TrackerTopology::layer(), LogDebug, nhits, GeomDetEnumerators::PixelBarrel, PixelSubdetector::PixelBarrel, PixelSubdetector::PixelEndcap, GeomDetEnumerators::PixelEndcap, rpcPointValidation_cfi::recHit, fileCollector::seed, seedingLayerSetNames, seedingLayerSetToBin, TrackerTopology::side(), GeomDetEnumerators::TEC, StripSubdetector::TEC, GeomDetEnumerators::TIB, StripSubdetector::TIB, GeomDetEnumerators::TID, StripSubdetector::TID, GeomDetEnumerators::TOB, StripSubdetector::TOB, HLT_2023v12_cff::track, DetId::Tracker, and relativeConstraints::value.

Referenced by fill_generic_recoTrack_histos().

2497  {
2498  if (track.seedRef().isNull() || !track.seedRef().isAvailable())
2499  return seedingLayerSetNames.size() - 1;
2500 
2501  const TrajectorySeed& seed = *(track.seedRef());
2502  SeedingLayerSetId searchId;
2503  const int nhits = seed.nHits();
2504  if (nhits > static_cast<int>(std::tuple_size<SeedingLayerSetId>::value)) {
2505  LogDebug("TrackValidator") << "Got seed with " << nhits << " hits, but I have a hard-coded maximum of "
2507  << ", classifying the seed as 'unknown'. Please increase the maximum in "
2508  "MTVHistoProducerAlgoForTracker.h if needed.";
2509  return seedingLayerSetNames.size() - 1;
2510  }
2511  int i = 0;
2512  for (auto const& recHit : seed.recHits()) {
2513  DetId detId = recHit.geographicalId();
2514 
2515  if (detId.det() != DetId::Tracker) {
2516  throw cms::Exception("LogicError") << "Encountered seed hit detId " << detId.rawId() << " not from Tracker, but "
2517  << detId.det();
2518  }
2519 
2521  bool subdetStrip = false;
2522  switch (detId.subdetId()) {
2525  break;
2528  break;
2529  case StripSubdetector::TIB:
2530  subdet = GeomDetEnumerators::TIB;
2531  subdetStrip = true;
2532  break;
2533  case StripSubdetector::TID:
2534  subdet = GeomDetEnumerators::TID;
2535  subdetStrip = true;
2536  break;
2537  case StripSubdetector::TOB:
2538  subdet = GeomDetEnumerators::TOB;
2539  subdetStrip = true;
2540  break;
2541  case StripSubdetector::TEC:
2542  subdet = GeomDetEnumerators::TEC;
2543  subdetStrip = true;
2544  break;
2545  default:
2546  throw cms::Exception("LogicError") << "Unknown subdetId " << detId.subdetId();
2547  };
2548 
2549  TrackerDetSide side = static_cast<TrackerDetSide>(ttopo.side(detId));
2550 
2551  // Even with the recent addition of
2552  // SeedingLayerSetsBuilder::fillDescription() this assumption is a
2553  // bit ugly.
2554  const bool isStripMono = subdetStrip && trackerHitRTTI::isSingle(recHit);
2555  searchId[i] =
2556  SeedingLayerId(SeedingLayerSetsBuilder::SeedingLayerId(subdet, side, ttopo.layer(detId)), isStripMono);
2557  ++i;
2558  }
2559  auto found = seedingLayerSetToBin.find(searchId);
2560  if (found == seedingLayerSetToBin.end()) {
2561  return seedingLayerSetNames.size() - 1;
2562  }
2563  return found->second;
2564 }
static constexpr auto TEC
std::map< SeedingLayerSetId, unsigned int > seedingLayerSetToBin
TrackerDetSide
Definition: TrackerDetSide.h:4
unsigned int side(const DetId &id) const
unsigned int layer(const DetId &id) const
std::tuple< GeomDetEnumerators::SubDetector, TrackerDetSide, int > SeedingLayerId
std::tuple< SeedingLayerSetsBuilder::SeedingLayerId, bool > SeedingLayerId
static constexpr auto TOB
std::array< SeedingLayerId, 4 > SeedingLayerSetId
Definition: DetId.h:17
static constexpr auto TIB
bool isSingle(TrackingRecHit const &hit)
std::vector< std::string > seedingLayerSetNames
static constexpr auto TID
#define LogDebug(id)

◆ makeRecoTrackSelectorFromTPSelectorParameters()

std::unique_ptr< RecoTrackSelectorBase > MTVHistoProducerAlgoForTracker::makeRecoTrackSelectorFromTPSelectorParameters ( const edm::ParameterSet pset)
static

Definition at line 370 of file MTVHistoProducerAlgoForTracker.cc.

References edm::ParameterSet::addParameter(), edm::ParameterSet::copyForModify(), edm::ParameterSet::eraseSimpleParameter(), and muonDTDigis_cfi::pset.

Referenced by MTVHistoProducerAlgoForTracker(), and MultiTrackValidator::MultiTrackValidator().

371  {
372  edm::ParameterSet psetTrack;
373  psetTrack.copyForModify(pset);
374  psetTrack.eraseSimpleParameter("minHit");
375  psetTrack.eraseSimpleParameter("signalOnly");
376  psetTrack.eraseSimpleParameter("intimeOnly");
377  psetTrack.eraseSimpleParameter("chargedOnly");
378  psetTrack.eraseSimpleParameter("stableOnly");
379  psetTrack.addParameter("maxChi2", 1e10);
380  psetTrack.addParameter("minHit", 0);
381  psetTrack.addParameter("minPixelHit", 0);
382  psetTrack.addParameter("minLayer", 0);
383  psetTrack.addParameter("min3DLayer", 0);
384  psetTrack.addParameter("quality", std::vector<std::string>{});
385  psetTrack.addParameter("algorithm", std::vector<std::string>{});
386  psetTrack.addParameter("originalAlgorithm", std::vector<std::string>{});
387  psetTrack.addParameter("algorithmMaskContains", std::vector<std::string>{});
388  psetTrack.addParameter("invertRapidityCut", false);
389  psetTrack.addParameter("minPhi", -3.2);
390  psetTrack.addParameter("maxPhi", 3.2);
391  return std::make_unique<RecoTrackSelectorBase>(psetTrack);
392 }
void addParameter(std::string const &name, T const &value)
Definition: ParameterSet.h:136
void eraseSimpleParameter(std::string const &name)
void copyForModify(ParameterSet const &other)

Member Data Documentation

◆ cotThetaRes_nbin

int MTVHistoProducerAlgoForTracker::cotThetaRes_nbin
private

◆ cotThetaRes_rangeMax

double MTVHistoProducerAlgoForTracker::cotThetaRes_rangeMax
private

◆ cotThetaRes_rangeMin

double MTVHistoProducerAlgoForTracker::cotThetaRes_rangeMin
private

◆ doDzPVcutPlots_

const bool MTVHistoProducerAlgoForTracker::doDzPVcutPlots_
private

◆ doMTDPlots_

const bool MTVHistoProducerAlgoForTracker::doMTDPlots_
private

◆ doSeedPlots_

const bool MTVHistoProducerAlgoForTracker::doSeedPlots_
private

◆ dxyDzZoom

double MTVHistoProducerAlgoForTracker::dxyDzZoom
private

◆ dxyRes_nbin

int MTVHistoProducerAlgoForTracker::dxyRes_nbin
private

◆ dxyRes_rangeMax

double MTVHistoProducerAlgoForTracker::dxyRes_rangeMax
private

◆ dxyRes_rangeMin

double MTVHistoProducerAlgoForTracker::dxyRes_rangeMin
private

◆ dzRes_nbin

int MTVHistoProducerAlgoForTracker::dzRes_nbin
private

◆ dzRes_rangeMax

double MTVHistoProducerAlgoForTracker::dzRes_rangeMax
private

◆ dzRes_rangeMin

double MTVHistoProducerAlgoForTracker::dzRes_rangeMin
private

◆ generalGpSelector

std::unique_ptr<GenParticleCustomSelector> MTVHistoProducerAlgoForTracker::generalGpSelector
private

Definition at line 291 of file MTVHistoProducerAlgoForTracker.h.

Referenced by MTVHistoProducerAlgoForTracker().

◆ generalTpSelector

std::unique_ptr<TrackingParticleSelector> MTVHistoProducerAlgoForTracker::generalTpSelector
private

Definition at line 280 of file MTVHistoProducerAlgoForTracker.h.

Referenced by MTVHistoProducerAlgoForTracker().

◆ GpSelectorForEfficiencyVsEta

std::unique_ptr<GenParticleCustomSelector> MTVHistoProducerAlgoForTracker::GpSelectorForEfficiencyVsEta
private

◆ GpSelectorForEfficiencyVsPhi

std::unique_ptr<GenParticleCustomSelector> MTVHistoProducerAlgoForTracker::GpSelectorForEfficiencyVsPhi
private

◆ GpSelectorForEfficiencyVsPt

std::unique_ptr<GenParticleCustomSelector> MTVHistoProducerAlgoForTracker::GpSelectorForEfficiencyVsPt
private

◆ GpSelectorForEfficiencyVsVTXR

std::unique_ptr<GenParticleCustomSelector> MTVHistoProducerAlgoForTracker::GpSelectorForEfficiencyVsVTXR
private

◆ GpSelectorForEfficiencyVsVTXZ

std::unique_ptr<GenParticleCustomSelector> MTVHistoProducerAlgoForTracker::GpSelectorForEfficiencyVsVTXZ
private

◆ maxChi2

double MTVHistoProducerAlgoForTracker::maxChi2
private

◆ maxDeDx

double MTVHistoProducerAlgoForTracker::maxDeDx
private

◆ maxdr

double MTVHistoProducerAlgoForTracker::maxdr
private

◆ maxdrj

double MTVHistoProducerAlgoForTracker::maxdrj
private

◆ maxDxy

double MTVHistoProducerAlgoForTracker::maxDxy
private

◆ maxDz

double MTVHistoProducerAlgoForTracker::maxDz
private

◆ maxDzpvCum

double MTVHistoProducerAlgoForTracker::maxDzpvCum
private

◆ maxDzpvsigCum

double MTVHistoProducerAlgoForTracker::maxDzpvsigCum
private

Definition at line 358 of file MTVHistoProducerAlgoForTracker.h.

◆ maxEta

double MTVHistoProducerAlgoForTracker::maxEta
private

◆ maxHit

double MTVHistoProducerAlgoForTracker::maxHit
private

◆ maxLayers

double MTVHistoProducerAlgoForTracker::maxLayers
private

◆ maxMVA

double MTVHistoProducerAlgoForTracker::maxMVA
private

◆ maxPhi

double MTVHistoProducerAlgoForTracker::maxPhi
private

◆ maxPt

double MTVHistoProducerAlgoForTracker::maxPt
private

◆ maxPu

double MTVHistoProducerAlgoForTracker::maxPu
private

◆ maxPVz

double MTVHistoProducerAlgoForTracker::maxPVz
private

◆ maxTracks

double MTVHistoProducerAlgoForTracker::maxTracks
private

◆ maxVertcount

double MTVHistoProducerAlgoForTracker::maxVertcount
private

Definition at line 331 of file MTVHistoProducerAlgoForTracker.h.

Referenced by MTVHistoProducerAlgoForTracker().

◆ maxVertpos

double MTVHistoProducerAlgoForTracker::maxVertpos
private

◆ maxZpos

double MTVHistoProducerAlgoForTracker::maxZpos
private

◆ minChi2

double MTVHistoProducerAlgoForTracker::minChi2
private

◆ minDeDx

double MTVHistoProducerAlgoForTracker::minDeDx
private

◆ mindr

double MTVHistoProducerAlgoForTracker::mindr
private

◆ mindrj

double MTVHistoProducerAlgoForTracker::mindrj
private

◆ minDxy

double MTVHistoProducerAlgoForTracker::minDxy
private

◆ minDz

double MTVHistoProducerAlgoForTracker::minDz
private

◆ minEta

double MTVHistoProducerAlgoForTracker::minEta
private

◆ minHit

double MTVHistoProducerAlgoForTracker::minHit
private

◆ minLayers

double MTVHistoProducerAlgoForTracker::minLayers
private

◆ minMVA

double MTVHistoProducerAlgoForTracker::minMVA
private

◆ minPhi

double MTVHistoProducerAlgoForTracker::minPhi
private

◆ minPt

double MTVHistoProducerAlgoForTracker::minPt
private

◆ minPu

double MTVHistoProducerAlgoForTracker::minPu
private

◆ minPVz

double MTVHistoProducerAlgoForTracker::minPVz
private

◆ minTracks

double MTVHistoProducerAlgoForTracker::minTracks
private

◆ minVertcount

double MTVHistoProducerAlgoForTracker::minVertcount
private

Definition at line 331 of file MTVHistoProducerAlgoForTracker.h.

Referenced by MTVHistoProducerAlgoForTracker().

◆ minVertpos

double MTVHistoProducerAlgoForTracker::minVertpos
private

◆ minZpos

double MTVHistoProducerAlgoForTracker::minZpos
private

◆ nintChi2

int MTVHistoProducerAlgoForTracker::nintChi2
private

◆ nintDeDx

int MTVHistoProducerAlgoForTracker::nintDeDx
private

◆ nintdr

int MTVHistoProducerAlgoForTracker::nintdr
private

◆ nintdrj

int MTVHistoProducerAlgoForTracker::nintdrj
private

◆ nintDxy

int MTVHistoProducerAlgoForTracker::nintDxy
private

◆ nintDz

int MTVHistoProducerAlgoForTracker::nintDz
private

◆ nintDzpvCum

int MTVHistoProducerAlgoForTracker::nintDzpvCum
private

◆ nintDzpvsigCum

int MTVHistoProducerAlgoForTracker::nintDzpvsigCum
private

Definition at line 359 of file MTVHistoProducerAlgoForTracker.h.

◆ nintEta

int MTVHistoProducerAlgoForTracker::nintEta
private

◆ nintHit

int MTVHistoProducerAlgoForTracker::nintHit
private

◆ nintLayers

int MTVHistoProducerAlgoForTracker::nintLayers
private

◆ nintMVA

int MTVHistoProducerAlgoForTracker::nintMVA
private

◆ nintPhi

int MTVHistoProducerAlgoForTracker::nintPhi
private

◆ nintPt

int MTVHistoProducerAlgoForTracker::nintPt
private

◆ nintPu

int MTVHistoProducerAlgoForTracker::nintPu
private

◆ nintPVz

int MTVHistoProducerAlgoForTracker::nintPVz
private

◆ nintTracks

int MTVHistoProducerAlgoForTracker::nintTracks
private

◆ nintVertcount

int MTVHistoProducerAlgoForTracker::nintVertcount
private

Definition at line 332 of file MTVHistoProducerAlgoForTracker.h.

Referenced by MTVHistoProducerAlgoForTracker().

◆ nintVertpos

int MTVHistoProducerAlgoForTracker::nintVertpos
private

◆ nintZpos

int MTVHistoProducerAlgoForTracker::nintZpos
private

◆ phiRes_nbin

int MTVHistoProducerAlgoForTracker::phiRes_nbin
private

◆ phiRes_rangeMax

double MTVHistoProducerAlgoForTracker::phiRes_rangeMax
private

◆ phiRes_rangeMin

double MTVHistoProducerAlgoForTracker::phiRes_rangeMin
private

◆ ptRes_nbin

int MTVHistoProducerAlgoForTracker::ptRes_nbin
private

◆ ptRes_rangeMax

double MTVHistoProducerAlgoForTracker::ptRes_rangeMax
private

◆ ptRes_rangeMin

double MTVHistoProducerAlgoForTracker::ptRes_rangeMin
private

◆ seedingLayerSetNames

std::vector<std::string> MTVHistoProducerAlgoForTracker::seedingLayerSetNames
private

◆ seedingLayerSetToBin

std::map<SeedingLayerSetId, unsigned int> MTVHistoProducerAlgoForTracker::seedingLayerSetToBin
private

◆ TpSelectorForEfficiencyVsEta

std::unique_ptr<TrackingParticleSelector> MTVHistoProducerAlgoForTracker::TpSelectorForEfficiencyVsEta
private

◆ TpSelectorForEfficiencyVsPhi

std::unique_ptr<TrackingParticleSelector> MTVHistoProducerAlgoForTracker::TpSelectorForEfficiencyVsPhi
private

◆ TpSelectorForEfficiencyVsPt

std::unique_ptr<TrackingParticleSelector> MTVHistoProducerAlgoForTracker::TpSelectorForEfficiencyVsPt
private

◆ TpSelectorForEfficiencyVsVTXR

std::unique_ptr<TrackingParticleSelector> MTVHistoProducerAlgoForTracker::TpSelectorForEfficiencyVsVTXR
private

◆ TpSelectorForEfficiencyVsVTXZ

std::unique_ptr<TrackingParticleSelector> MTVHistoProducerAlgoForTracker::TpSelectorForEfficiencyVsVTXZ
private

◆ trackSelectorVsEta

std::unique_ptr<RecoTrackSelectorBase> MTVHistoProducerAlgoForTracker::trackSelectorVsEta
private

◆ trackSelectorVsPhi

std::unique_ptr<RecoTrackSelectorBase> MTVHistoProducerAlgoForTracker::trackSelectorVsPhi
private

◆ trackSelectorVsPt

std::unique_ptr<RecoTrackSelectorBase> MTVHistoProducerAlgoForTracker::trackSelectorVsPt
private

◆ useFabsEta

bool MTVHistoProducerAlgoForTracker::useFabsEta
private

Definition at line 300 of file MTVHistoProducerAlgoForTracker.h.

Referenced by getEta(), and MTVHistoProducerAlgoForTracker().

◆ useInvPt

bool MTVHistoProducerAlgoForTracker::useInvPt
private

Definition at line 303 of file MTVHistoProducerAlgoForTracker.h.

Referenced by getPt(), and MTVHistoProducerAlgoForTracker().

◆ useLogPt

bool MTVHistoProducerAlgoForTracker::useLogPt
private

◆ useLogVertpos

bool MTVHistoProducerAlgoForTracker::useLogVertpos
private