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root/cvsroot/UserCode/Morgan/interface/TRootElectron.h

Comparing UserCode/Morgan/interface/TRootElectron.h (file contents):
Revision 1.6 by lethuill, Fri Dec 19 12:26:01 2008 UTC vs.
Revision 1.9 by lethuill, Tue Apr 14 16:47:59 2009 UTC

#	Line 5 | Line 5
5
6		#include "../interface/TRootParticle.h"
7
8	–	#include "Rtypes.h"
9	–	#include "TObject.h"
10	–
8		using namespace std;
9
10		class TRootElectron : public TRootParticle
#	Line 31 | Line 28 | public:
28		,energySeedClusterOverPout_(-9999.)
29		,energyScaleCorrected_(false)
30		,momentumCorrected_(false)
31	+	,pixelLayersWithMeasurement_(-1)
32	+	,stripLayersWithMeasurement_(-1)
33		,d0_(-9999.)
34		,d0Error_(-9999.)
35		,dsz_(-9999.)
#	Line 62 | Line 61 | public:
61		,isoR05_hadEt_(-9999.)
62		,isoR05_sumPt_(-9999.)
63		,isoR05_nTracks_(-9999)
64	<	,idPTDRLoose_(-9999.)
65	<	,idPTDRMedium_(-9999.)
66	<	,idPTDRTight_(-9999.)
67	<	,idCutBasedLoose_(-9999.)
68	<	,idCutBasedRobust_(-9999.)
70	<	,idCutBasedTight_(-9999.)
64	>	,idCutBasedFixedThresholdLoose_(-1)
65	>	,idCutBasedFixedThresholdTight_(-1)
66	>	,idCutBasedFixedThresholdHighEnergy_(-1)
67	>	,idCutBasedCategorizedLoose_(-1)
68	>	,idCutBasedCategorizedTight_(-1)
69		,idLikelihood_(-9999.)
70		,idNeuralNet_(-9999.)
71		{;}
#	Line 88 | Line 86 | public:
86		,energySeedClusterOverPout_(electron.energySeedClusterOverPout_)
87		,energyScaleCorrected_(electron.energyScaleCorrected_)
88		,momentumCorrected_(electron.momentumCorrected_)
89	+	,pixelLayersWithMeasurement_(electron.pixelLayersWithMeasurement_)
90	+	,stripLayersWithMeasurement_(electron.stripLayersWithMeasurement_)
91		,d0_(electron.d0_)
92		,d0Error_(electron.d0Error_)
93		,dsz_(electron.dsz_)
#	Line 119 | Line 119 | public:
119		,isoR05_hadEt_(electron.isoR05_hadEt_)
120		,isoR05_sumPt_(electron.isoR05_sumPt_)
121		,isoR05_nTracks_(electron.isoR05_nTracks_)
122	<	,idPTDRLoose_(electron.idPTDRLoose_)
123	<	,idPTDRMedium_(electron.idPTDRMedium_)
124	<	,idPTDRTight_(electron.idPTDRTight_)
125	<	,idCutBasedLoose_(electron.idCutBasedLoose_)
126	<	,idCutBasedRobust_(electron.idCutBasedRobust_)
127	<	,idCutBasedTight_(electron.idCutBasedTight_)
122	>	,idCutBasedFixedThresholdLoose_(electron.idCutBasedFixedThresholdLoose_)
123	>	,idCutBasedFixedThresholdTight_(electron.idCutBasedFixedThresholdTight_)
124	>	,idCutBasedFixedThresholdHighEnergy_(electron.idCutBasedFixedThresholdHighEnergy_)
125	>	,idCutBasedCategorizedLoose_(electron.idCutBasedCategorizedLoose_)
126	>	,idCutBasedCategorizedTight_(electron.idCutBasedCategorizedTight_)
127		,idLikelihood_(electron.idLikelihood_)
128		,idNeuralNet_(electron.idNeuralNet_)
129		{;}
#	Line 145 | Line 144 | public:
144		,energySeedClusterOverPout_(-9999.)
145		,energyScaleCorrected_(false)
146		,momentumCorrected_(false)
147	+	,pixelLayersWithMeasurement_(-1)
148	+	,stripLayersWithMeasurement_(-1)
149		,d0_(-9999.)
150		,d0Error_(-9999.)
151		,dsz_(-9999.)
#	Line 176 | Line 177 | public:
177		,isoR05_hadEt_(-9999.)
178		,isoR05_sumPt_(-9999.)
179		,isoR05_nTracks_(-9999)
180	<	,idPTDRLoose_(-9999.)
181	<	,idPTDRMedium_(-9999.)
182	<	,idPTDRTight_(-9999.)
183	<	,idCutBasedLoose_(-9999.)
184	<	,idCutBasedRobust_(-9999.)
184	<	,idCutBasedTight_(-9999.)
180	>	,idCutBasedFixedThresholdLoose_(-1)
181	>	,idCutBasedFixedThresholdTight_(-1)
182	>	,idCutBasedFixedThresholdHighEnergy_(-1)
183	>	,idCutBasedCategorizedLoose_(-1)
184	>	,idCutBasedCategorizedTight_(-1)
185		,idLikelihood_(-9999.)
186		,idNeuralNet_(-9999.)
187		{;}
#	Line 202 | Line 202 | public:
202		,energySeedClusterOverPout_(-9999.)
203		,energyScaleCorrected_(false)
204		,momentumCorrected_(false)
205	+	,pixelLayersWithMeasurement_(-1)
206	+	,stripLayersWithMeasurement_(-1)
207		,d0_(-9999.)
208		,d0Error_(-9999.)
209		,dsz_(-9999.)
#	Line 233 | Line 235 | public:
235		,isoR05_hadEt_(-9999.)
236		,isoR05_sumPt_(-9999.)
237		,isoR05_nTracks_(-9999)
238	<	,idPTDRLoose_(-9999.)
239	<	,idPTDRMedium_(-9999.)
240	<	,idPTDRTight_(-9999.)
241	<	,idCutBasedLoose_(-9999.)
242	<	,idCutBasedRobust_(-9999.)
241	<	,idCutBasedTight_(-9999.)
238	>	,idCutBasedFixedThresholdLoose_(-1)
239	>	,idCutBasedFixedThresholdTight_(-1)
240	>	,idCutBasedFixedThresholdHighEnergy_(-1)
241	>	,idCutBasedCategorizedLoose_(-1)
242	>	,idCutBasedCategorizedTight_(-1)
243		,idLikelihood_(-9999.)
244		,idNeuralNet_(-9999.)
245		{;}
#	Line 259 | Line 260 | public:
260		,energySeedClusterOverPout_(-9999.)
261		,energyScaleCorrected_(false)
262		,momentumCorrected_(false)
263	+	,pixelLayersWithMeasurement_(-1)
264	+	,stripLayersWithMeasurement_(-1)
265		,d0_(-9999.)
266		,d0Error_(-9999.)
267		,dsz_(-9999.)
#	Line 290 | Line 293 | public:
293		,isoR05_hadEt_(-9999.)
294		,isoR05_sumPt_(-9999.)
295		,isoR05_nTracks_(-9999)
296	<	,idPTDRLoose_(-9999.)
297	<	,idPTDRMedium_(-9999.)
298	<	,idPTDRTight_(-9999.)
299	<	,idCutBasedLoose_(-9999.)
300	<	,idCutBasedRobust_(-9999.)
298	<	,idCutBasedTight_(-9999.)
296	>	,idCutBasedFixedThresholdLoose_(-1)
297	>	,idCutBasedFixedThresholdTight_(-1)
298	>	,idCutBasedFixedThresholdHighEnergy_(-1)
299	>	,idCutBasedCategorizedLoose_(-1)
300	>	,idCutBasedCategorizedTight_(-1)
301		,idLikelihood_(-9999.)
302		,idNeuralNet_(-9999.)
303		{;}
#	Line 316 | Line 318 | public:
318		,energySeedClusterOverPout_(-9999.)
319		,energyScaleCorrected_(false)
320		,momentumCorrected_(false)
321	+	,pixelLayersWithMeasurement_(-1)
322	+	,stripLayersWithMeasurement_(-1)
323		,d0_(-9999.)
324		,d0Error_(-9999.)
325		,dsz_(-9999.)
#	Line 347 | Line 351 | public:
351		,isoR05_hadEt_(-9999.)
352		,isoR05_sumPt_(-9999.)
353		,isoR05_nTracks_(-9999)
354	<	,idPTDRLoose_(-9999.)
355	<	,idPTDRMedium_(-9999.)
356	<	,idPTDRTight_(-9999.)
357	<	,idCutBasedLoose_(-9999.)
358	<	,idCutBasedRobust_(-9999.)
355	<	,idCutBasedTight_(-9999.)
354	>	,idCutBasedFixedThresholdLoose_(-1)
355	>	,idCutBasedFixedThresholdTight_(-1)
356	>	,idCutBasedFixedThresholdHighEnergy_(-1)
357	>	,idCutBasedCategorizedLoose_(-1)
358	>	,idCutBasedCategorizedTight_(-1)
359		,idLikelihood_(-9999.)
360		,idNeuralNet_(-9999.)
361		{;}
#	Line 373 | Line 376 | public:
376		,energySeedClusterOverPout_(-9999.)
377		,energyScaleCorrected_(false)
378		,momentumCorrected_(false)
379	+	,pixelLayersWithMeasurement_(-1)
380	+	,stripLayersWithMeasurement_(-1)
381		,d0_(-9999.)
382		,d0Error_(-9999.)
383		,dsz_(-9999.)
#	Line 404 | Line 409 | public:
409		,isoR05_hadEt_(-9999.)
410		,isoR05_sumPt_(-9999.)
411		,isoR05_nTracks_(-9999)
412	<	,idPTDRLoose_(-9999.)
413	<	,idPTDRMedium_(-9999.)
414	<	,idPTDRTight_(-9999.)
415	<	,idCutBasedLoose_(-9999.)
416	<	,idCutBasedRobust_(-9999.)
412	<	,idCutBasedTight_(-9999.)
412	>	,idCutBasedFixedThresholdLoose_(-1)
413	>	,idCutBasedFixedThresholdTight_(-1)
414	>	,idCutBasedFixedThresholdHighEnergy_(-1)
415	>	,idCutBasedCategorizedLoose_(-1)
416	>	,idCutBasedCategorizedTight_(-1)
417		,idLikelihood_(-9999.)
418		,idNeuralNet_(-9999.)
419		{;}
#	Line 431 | Line 435 | public:
435		Float_t energySeedClusterOverPout() const { return energySeedClusterOverPout_ ;}
436		Bool_t energyScaleCorrected() const { return energyScaleCorrected_ ;}
437		Bool_t momentumCorrected() const { return momentumCorrected_ ;}
438	+
439	+	Int_t pixelLayersWithMeasurement() const { return pixelLayersWithMeasurement_; }
440	+	Int_t stripLayersWithMeasurement() const { return stripLayersWithMeasurement_; }
441		Float_t d0() const { return d0_ ;}
442		Float_t d0Error() const { return d0Error_ ;}
443		Float_t dsz() const { return dsz_ ;}
#	Line 439 | Line 446 | public:
446		Float_t ptError() const { return ptError_ ;}
447		Float_t etaError() const { return etaError_ ;}
448		Float_t phiError() const { return phiError_ ;}
449	+
450		Int_t nbClusters() const { return nbClusters_ ;}
451		Float_t superClusterRawEnergy() const { return superClusterRawEnergy_ ;}
452		Float_t preshowerEnergy() const { return preshowerEnergy_ ;}
#	Line 462 | Line 470 | public:
470		Float_t isoR05_hadEt() const { return isoR05_hadEt_ ;}
471		Float_t isoR05_sumPt() const { return isoR05_sumPt_ ;}
472		Int_t isoR05_nTracks() const { return isoR05_nTracks_ ;}
473	<	Float_t idPTDRLoose() const { return idPTDRLoose_ ;}
474	<	Float_t idPTDRMedium() const { return idPTDRMedium_ ;}
475	<	Float_t idPTDRTight() const { return idPTDRTight_ ;}
476	<	Float_t idCutBasedLoose() const { return idCutBasedLoose_ ;}
477	<	Float_t idCutBasedRobust() const { return idCutBasedRobust_ ;}
470	<	Float_t idCutBasedTight() const { return idCutBasedTight_ ;}
473	>	Int_t idCutBasedFixedThresholdLoose() const { return idCutBasedFixedThresholdLoose_ ;}
474	>	Int_t idCutBasedFixedThresholdTight() const { return idCutBasedFixedThresholdTight_ ;}
475	>	Int_t idCutBasedFixedThresholdHighEnergy() const { return idCutBasedFixedThresholdHighEnergy_ ;}
476	>	Int_t idCutBasedCategorizedLoose() const { return idCutBasedCategorizedLoose_ ;}
477	>	Int_t idCutBasedCategorizedTight() const { return idCutBasedCategorizedTight_ ;}
478		Float_t idLikelihood() const { return idLikelihood_ ;}
479		Float_t idNeuralNet() const { return idNeuralNet_ ;}
480
#	Line 488 | Line 495 | public:
495		void setEnergySeedClusterOverPout(Float_t energySeedClusterOverPout) { energySeedClusterOverPout_ = energySeedClusterOverPout; }
496		void setEnergyScaleCorrected(Bool_t energyScaleCorrected) { energyScaleCorrected_ = energyScaleCorrected; }
497		void setMomentumCorrected(Bool_t momentumCorrected) { momentumCorrected_ = momentumCorrected; }
498	+
499	+	void setPixelLayersWithMeasurement(Int_t pixelLayersWithMeasurement) { pixelLayersWithMeasurement_ = pixelLayersWithMeasurement; }
500	+	void setStripLayersWithMeasurement(Int_t stripLayersWithMeasurement) { stripLayersWithMeasurement_ = stripLayersWithMeasurement; }
501		void setD0(Float_t d0) { d0_ = d0; }
502		void setD0Error(Float_t d0Error) { d0Error_ = d0Error; }
503		void setDsz(Float_t dsz) { dsz_ = dsz; }
#	Line 496 | Line 506 | public:
506		void setPtError(Float_t ptError) { ptError_ = ptError; }
507		void setEtaError(Float_t etaError) { etaError_ = etaError; }
508		void setPhiError(Float_t phiError) { phiError_ = phiError; }
509	+
510		void setNbClusters(Int_t nbClusters) { nbClusters_ = nbClusters; }
511		void setSuperClusterRawEnergy(Float_t superClusterRawEnergy) { superClusterRawEnergy_ = superClusterRawEnergy; }
512		void setPreshowerEnergy(Float_t preshowerEnergy) { preshowerEnergy_ = preshowerEnergy; }
#	Line 520 | Line 531 | public:
531		void setIsoR05_hadEt(Float_t isoR05_hadEt) { isoR05_hadEt_ = isoR05_hadEt; }
532		void setIsoR05_sumPt(Float_t isoR05_sumPt) { isoR05_sumPt_ = isoR05_sumPt; }
533		void setIsoR05_nTracks(Int_t isoR05_nTracks) { isoR05_nTracks_ = isoR05_nTracks; }
534	<	void setIDPTDRLoose(Float_t idPTDRLoose) { idPTDRLoose_ = idPTDRLoose; }
535	<	void setIDPTDRMedium(Float_t idPTDRMedium) { idPTDRMedium_ = idPTDRMedium; }
536	<	void setIDPTDRTight(Float_t idPTDRTight) { idPTDRTight_ = idPTDRTight; }
537	<	void setIDCutBasedLoose(Float_t idCutBasedLoose) { idCutBasedLoose_ = idCutBasedLoose; }
538	<	void setIDCutBasedRobust(Float_t idCutBasedRobust) { idCutBasedRobust_ = idCutBasedRobust; }
528	<	void setIDCutBasedTight(Float_t idCutBasedTight) { idCutBasedTight_ = idCutBasedTight; }
534	>	void setIDCutBasedFixedThresholdLoose(Int_t idCutBasedFixedThresholdLoose) { idCutBasedFixedThresholdLoose_ = idCutBasedFixedThresholdLoose; }
535	>	void setIDCutBasedFixedThresholdTight(Int_t idCutBasedFixedThresholdTight) { idCutBasedFixedThresholdTight_ = idCutBasedFixedThresholdTight; }
536	>	void setIDCutBasedFixedThresholdHighEnergy(Int_t idCutBasedFixedThresholdHighEnergy) { idCutBasedFixedThresholdHighEnergy_ = idCutBasedFixedThresholdHighEnergy; }
537	>	void setIDCutBasedCategorizedLoose(Int_t idCutBasedCategorizedLoose) { idCutBasedCategorizedLoose_ = idCutBasedCategorizedLoose; }
538	>	void setIDCutBasedCategorizedTight(Int_t idCutBasedCategorizedTight) { idCutBasedCategorizedTight_ = idCutBasedCategorizedTight; }
539		void setIDLikelihood(Float_t idLikelihood) { idLikelihood_ = idLikelihood; }
540		void setIDNeuralNet(Float_t idNeuralNet) { idNeuralNet_ = idNeuralNet; }
541
#	Line 604 | Line 614 | public:
614		This is usually true for Tracker tracks.
615		- When the track has infinite or extremely high momentum */
616
617	+	Int_t pixelLayersWithMeasurement_; // Number of pixel layers with at least one valid hit
618	+	Int_t stripLayersWithMeasurement_; // Number of strip layers with at least one valid hit
619	+
620		Float_t d0_;             // d0=-dxy
621		Float_t d0Error_;        // error on d0_
622		Float_t dsz_;            // dsz parameter
#	Line 653 | Line 666 | public:
666
667
668		// pat::Electron ID (cf https://twiki.cern.ch/twiki/bin/view/CMS/SWGuideElectronID)
669	<	Float_t idPTDRLoose_;
670	<	Float_t idPTDRMedium_;
671	<	Float_t idPTDRTight_;
672	<	Float_t idCutBasedLoose_;
673	<	Float_t idCutBasedRobust_;
674	<	Float_t idCutBasedTight_;
675	<	Float_t idLikelihood_;
676	<	Float_t idNeuralNet_;
669	>	// By default in 2.2.X, only cut based identification is available in pat (https://twiki.cern.ch/twiki/bin/view/CMS/SWGuideCutBasedElectronID
670	>	Int_t idCutBasedFixedThresholdLoose_;      // Simple cut based ID (aka 'robust') - Loose Thresholds on H/E, DeltaEta, DeltaPhi, SigmaEtaEta
671	>	Int_t idCutBasedFixedThresholdTight_;      // Simple cut based ID (default in EWK group) - Tight Thresholds on H/E, DeltaEta, DeltaPhi, SigmaEtaEta
672	>	Int_t idCutBasedFixedThresholdHighEnergy_; // Simple cut based ID - Thresholds optimized for high energy electron (~TeV)
673	>	Int_t idCutBasedCategorizedLoose_;         // Category based ID - Different loose thresholds on H/E, DeltaEta, DeltaPhi, SigmaEtaEta, eSeedOverPin for differents regions in the E/p vs fBrem plane
674	>	Int_t idCutBasedCategorizedTight_;         // Category based ID - Different tight thresholds on H/E, DeltaEta, DeltaPhi, SigmaEtaEta, eSeedOverPin for differents regions in the E/p vs fBrem plane
675	>	Float_t idLikelihood_;                       // Lieklihood ID - not activated by default in 2.2.X
676	>	Float_t idNeuralNet_;                        // NN ID - not activated by default in 2.2.X
677
678	+
679		// Matched genParticle
680		TLorentzVector momentumMCElectron_;
681		TVector3 vertexMCElectron_;
#	Line 672 | Line 686 | public:
686		//Float_t sigmaPhiPhi_;
687
688
689	<	ClassDef (TRootElectron,1);
689	>	ClassDef (TRootElectron,3);
690		};
691
692		#endif

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