Flat Random EGun gamma pi Or gamma pi

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Flat. Random. EGun § gamma & pi+ § Or gamma & pi+ & neutron

Flat. Random. EGun § gamma & pi+ § Or gamma & pi+ & neutron § Energy: (3, 10) or (10, 30) § eta/phi: (-0. 1, 0. 1) or (-0. 3, 0. 3)

0. 3, (3, 10) § § § particle: id: 211 energy: 8. 75023 id:

0. 3, (3, 10) § § § particle: id: 211 energy: 8. 75023 id: 22 energy: 6. 10266 gen jet: energy: 14. 8529 calo jet: energy: 10. 546 EB: 10. 546 HB: 0 § § § particle: id: 211 energy: 4. 65207 id: 22 energy: 9. 98728 gen jet: energy: 14. 6393 calo jet: energy: 12. 4333 EB: 12. 4333 HB: 0 § § § particle: id: 211 energy: 8. 23688 id: 22 energy: 9. 77913 gen jet: energy: 18. 016 calo jet: energy: 14. 1572 EB: 9. 18419 HB: 4. 97297

0. 1, (3, 10) § § § particle: id: 211 energy: 7. 4107 id:

0. 1, (3, 10) § § § particle: id: 211 energy: 7. 4107 id: 22 energy: 8. 97064 gen jet: energy: 16. 3813 calo jet: energy: 11. 0387 EB: 11. 0387 HB: 0 § § § particle: id: 211 energy: 4. 65207 id: 22 energy: 9. 98728 gen jet: energy: 14. 6393 calo jet: energy: 10. 4863 EB: 9. 57028 HB: 0. 915983 § § § particle: id: 211 energy: 8. 23688 id: 22 energy: 9. 77913 gen jet: energy: 18. 016 calo jet: energy: 11. 0625 EB: 10. 0824 HB: 0. 980075

0. 3 (10, 30) § § § particle: id: 211 energy: 26. 4292 id:

0. 3 (10, 30) § § § particle: id: 211 energy: 26. 4292 id: 22 energy: 18. 8647 gen jet: energy: 45. 294 calo jet: energy: 33. 6011 EB: 33. 6011 HB: 0 § § § particle: id: 211 energy: 14. 7202 id: 22 energy: 29. 9636 gen jet: energy: 44. 6838 calo jet: energy: 41. 3802 EB: 30. 1716 HB: 11. 2085 § § § particle: id: 211 energy: 12. 8002 id: 22 energy: 24. 6077 gen jet: energy: 37. 4079 calo jet: energy: 30. 2596 EB: 25. 8055 HB: 4. 45402

0. 1 (10, 30) § § § particle: id: 211 energy: 22. 602 id:

0. 1 (10, 30) § § § particle: id: 211 energy: 22. 602 id: 22 energy: 27. 059 gen jet: energy: 49. 661 calo jet: energy: 38. 6896 EB: 27. 5502 HB: 11. 1394 § § § particle: id: 211 energy: 26. 4292 id: 22 energy: 18. 8647 gen jet: energy: 45. 294 calo jet: energy: 42. 9853 EB: 19. 3884 HB: 23. 5968 § § § particle: id: 211 energy: 14. 7202 id: 22 energy: 29. 9636 gen jet: energy: 44. 6838 calo jet: energy: 45. 0281 EB: 45. 0281 HB: 0

Single. Particle. Jet. Response § echar=sqrt((*track). px()*(*track). px()+(*track). py()*(*track). py()+(*track). pz()*(*track). pz()+ 0. 14*0.

Single. Particle. Jet. Response § echar=sqrt((*track). px()*(*track). px()+(*track). py()*(*track). py()+(*track). pz()*(*track). pz()+ 0. 14*0. 14); § § § § if(echar <= e_th. EC 1) { double fecal = PAR 1_EC * echar; recal=echar*fecal; } else if (echar > e_th. EC 1 && echar <= e_th. EC 2) { double fecal = PAR 2_EC / (sqrt(echar) + PAR 3_EC); recal=echar*fecal; } else { recal=echar*PAR 4_EC; }

qq. H progress

qq. H progress

Introduction § Cern lxplus: wangjian/public/*. tar. gz § § § download to CMSSW_2_X_Y/src tar

Introduction § Cern lxplus: wangjian/public/*. tar. gz § § § download to CMSSW_2_X_Y/src tar xzf *. tar. gz scramv 1 b cd WBFanalysis/Ntuple. Maker/test cms. Run ntuplemaker_cfg_new. py § new. WBFHiggs. root • • • § Tree 0: generator info Tree 1: gen level jets and MET Tree 2: jets and MET Tree 3: muons and electrons Tree 4: b tag It has been tested in CMSSW_2_1_12 and CMSSW_2_2_3

Muon information § In CMSSW_2_1_X, the information on various types of muons has been

Muon information § In CMSSW_2_1_X, the information on various types of muons has been assembled in one single collection of Muon. Collection, “muons”. This collection serves as the main entry point for accessing muon-related information. § Available information in Ntuple • Basic kinematics • To which category a object belongs: § is. Global. Muon(), is. Stand. Alone. Muon(), is. Tracker. Muon() • Energy deposition in calorimeter • isolation parameters • Muon identification § Example: The muon id algorithm recommended by the muon POG is muon. is. Global. Muon() && muon. combined. Muon()->normalized. Chi 2()<10 § Impact parameter of track § number of hits in tracker

Muon isolation § § § Scalar sum of p. T of all tracks and

Muon isolation § § § Scalar sum of p. T of all tracks and the number of tracks in a cone of radius 0. 3/0. 5 around the muon trajectory: n. Tracks, sum. Pt, Scalar sum of ET in ECAL and HCAL in a cone of 0. 3/0. 5: em. Et, had. Et For tracker: • track. Iso = sum. Pt § § Example: track. Iso < 3 Ge. V in the cone of 0. 3 will give a 96. 7% efficiency for isolated muons from W or Z decays with about a factor of 10 rejection of muon candidates reconstructed in QCD events ( in qq. H, H -> ZZ/WW analysis, muons are all from W or Z) For calorimeters • calo. Iso = had. Et+em. Et § For further cut on the relative isolation • rel. Iso = (track. Iso+calo. Iso)/muon. Pt § The optimal isolation selection is specific to each particular analysis

Electron information § Read the standard offline electron Gsf. Electron. Collection, “pixel. Match. Gsf.

Electron information § Read the standard offline electron Gsf. Electron. Collection, “pixel. Match. Gsf. Electrons” § Basic kinematics, track. Momentum. At. Calo, Track. Position. At. Vtx, etc § Electron identification • Reco. Egamma/Electron. Identification/src/Cut. Based. Electron. ID. cc in which one can choose robust, tight or loose selection for electron quality • The variables used for electron id here ( e. Super. Cluster. Over. P, track. Momentum. At. Vtx, track. Mumentum. Out, hadronic. Over. Em, delta. Phi. Super. Cluster. Track. At. Vtx, delta. Eta. Super. Cluster. Track. At. Vtx, etc ) also available in our Ntuple. So one can optimize the selection specific to qq. H analysis.

Jet information § Calo. Jet. Collection § Gen. Jet. Collection § different jet algorithm

Jet information § Calo. Jet. Collection § Gen. Jet. Collection § different jet algorithm (iterative. Cone 5, …) can be chosen in configuration file § Jet plus track corrections are provided in two ways • create collection of JPT corrected jets: Jet. Plus. Track. ZSPCor. Jet. Icone 5 • correct jets “on the fly” using JPT correction service § Replace Calo response of tracks with tracks energy § Add energy of tracks in cone at Vtx but of cone at Calo § Subtract response of tracks out of cone at Vtx but in cone at Calo

MET & Calo. Tower § Calo. METCollection § Gen. METCollection • px, py, pt,

MET & Calo. Tower § Calo. METCollection § Gen. METCollection • px, py, pt, phi, sum. Et § Calo. Tower. Collection • One could re-calculate calotower-related variables if one likes Tracks § Track. Collection “general. Tracks” recommended § pt, eta, phi, IP, chi 2, ndof, Nhits, etc

b tag § Important in ttbar background study § Jet. Tag. Collection • •

b tag § Important in ttbar background study § Jet. Tag. Collection • • • track. Counting. High. Eff. BJet. Tags track. Counting. High. Pur. BJet. Tags simple. Secondary. Vertex. BJet. Tags combined. Secondary. Vertex. BJet. Tags jet. BProbability. BJet. Tags jet. Probability. BJet. Tags § Basic kinematics and discriminator MC information § gen. Particle. Collection § all final state particles (status==1) and also Higgs, W, Z , photon, b, etc § Pt, eta, phi, id, mass, status

§ Crab test • Winter 09(Fastsim), Fall 08, Summer 08 • Zjets, ttbar, …

§ Crab test • Winter 09(Fastsim), Fall 08, Summer 08 • Zjets, ttbar, … • CMSSW_21 X, 22 X