Work in IPN-Lyon 2009 J. Tao Aug. 16 th, 2009 Topics: Electromagnetic PS/ME matching with ALPGEN, with the  + jets samples ECAL Single Dead Channel Correction Higgs2GaGa PVT(Physics Validation Team) Report FullSim/FastSim comparison in SW310, focus on the photon shower shape & isolation variables Gamma/Pi0 discrimination try in SW21X Others

OUTLINE Introduction Results from  + jets study Summary Topic 1: PS/ME matching with ALPGEN

Introduction  Global overview  Study results from Z→μμ+  Physicals generations process are usually made using: ME generation of the “ hard event ” with ME generator (ALPGEN[1], MadGraph[3]... ) PS fragmentation and hadronisation made with PS algorithm (PYTHIA[2], Herwig... ) The double counting problem between ME & PS jets has been addressed from “ QCD matching ” at the “ particle level ” (after the creation of partonic shower). A similar double-counting problem may exists for photons and any matching algorithm has not been used formally. Z0: inclusive channel Z → μμ Z1: Z→μμ+ 

Samples selection  Susan’s first idea:  +jet v.s. 2Jets  Another advice from the authors of ALPGEN : 1  +1jet & 2  +1jet Real  : pT>20.GeV |η|<3.0 Alpgen  +jet : pT(  )>2.0GeV & pT(jet)>20.0GeV (but need balance) Pythia  +jet : pT_hat>20.0GeV 2jets: pT(  )>2.0GeV & pT(jet)>20.0GeV Gamma from ISR/FSR Less statistic with pT>20.GeV (100M weighted ME Events) Comparison of the following 2 samples: S1 S1: 1jet+1photon qed-inclusive samples S2 S2: 1jet+1photon qed-exclusive + 1jet+2photons qed-inclusive samples

 ALPGEN generation: pT(  )>2.0GeV |η(  )| 0.7 pT(jet)>20.0GeV |η(jet)| in ALPGEN  Pythia version: in ALPGEN  Events and cross section ALPGEN Samples σ_ME (pb)Weighted Events Unweighted Events Pythia Events 1jet + 1photon ± (inc.) (exc.) 1jet + 2photons ± (inc.) Samples production

Jet Reconstruction  Reconstructed from partons with status=1, except leptons, neutrinos, top & gamma.  Kinematic cuts: ET(jet)>=25.0, Cone R(jet)=0.7, |Eta|<=5.0 Number of Rec. Jets 1jet+1photon inclusive Number of Rec. Jets 1jet+2photon inclusive

Event Selections  Matching selection QED matching: pT(  )>3.0GeV |η(  )| 0.7; QCD matching: pT(jet)>20.0GeV |η(jet)| 0.7  Gamma slection: 2 highest PT photons from all photons with Status==1 and |Eta|<2.5.  Requirement 1: if DeltaR(Gamma1,closest jet) >=0.7, then fill the histograms of PT,Eta& DeltaR(Gamma1,jet) of Gamma1 (highest PT photon).  If requirement 1 is satisfied, and if DeltaR(Gamma2,closest jet) >=0.7, then fill the histograms of PT,Eta& DeltaR(Gamma2,jet) of Gamma2 (next-to-hardest photon).  Number of Events with Gamma1(Gamma2) used for normalization of the distributions of Gamma1(Gamma2).

S1 S1: 1jet+1photon qed-inclusive samples S2 S2: 1jet+1photon qed-exclusive + 1jet+2photons qed-inclusive samples Comparison of Gamma1

Comparison of Gamma2

PS/ME Summary  With the analysis, the agreement between S1 and S2 is good, for the distributions of Gamma1 and Gamma2.  The double counting problem between ME & PS pecial analysis Gammas can be fixed for sewith proper QED selection parameter setting, exclusive or inclusive, in CMSSW. "MSTJ(41)=1 !FSR 0-shower off/1-QCD on, FSR photon emmision off/2(D)-photon emmission on", "MSTP(61)=1 !ISR 0-0ff/1-on for QCD Rad in hadronic evts and QED Rad in leponic ones, ISR photon emmission off/2(D)-on for QCD&QED in had evts, QED Rad in leptonic one QED exclusive

Topic 2:ECAL Single Dead Channel correction  The parametric EM shower method can be used for dead channel correction in ECAL crystals, just like the dead channel case in AMS.  In the AMS experiment, the readout is 3-D one. The total energy of some layer, which the dead channel locates, is known from the longitudinal Gamma-formula.  For CMS experiment, much complex for its only 1-D read out. The total energy is not the exact one when some channel dead. Iterative fitting processes were used for the correction.

Iterative fitting process of dead channel correction Ok Yes No Emiss=Efit Calculate the COG & Elayer MINUIT tunes the parameters in lateral formule to make the fitted energy consistent with the original deposit energy, for the rest crystals (with readout). Then use the parameter, for the dead channel, its energy can be obtained, Efit; Initialnized the dead channel: Emiss=Einit If |Efit-Emiss|/Emiss<0.01

η φ Crystal (or cell) number The hodoscope cuts ( ±2 mm ) were applied to select the calibrated test beam (electron) events. The energy of crystal 8 was set to be 0. 50GeV R16470 Artificial dead channel of BT2006

Results of dead channel correction with TB 50GeV R16470

Results of the dead channel with TB For the dead channel (crystal), the corrected energy tend to overestimate, ~8% higher than the original deposit one. The sigma is ~16.6%. 50GeV R16470

Reconstructed the Center of Gravity with TB 50GeV R16470 The COG can be also obtained.

Results of dead channel correction with TBSim ECAL-only B-off samples, 50GeVx848, dead one: IEta=1, IPhi=2 (0~5) ~7% overestimate, sigma is ~15%. Electrons Photons

Results of seed correction with TBSim ECAL-only B-off samples, 50GeVx848, dead one: IEta=2, IPhi=2 (0~5) Seems that it’s hopeless to get all the seed energy Electrons Photons

Correction of Bad PMTs' readout at AMS - Assume that there are some man-made bad PMTs in the ECAL 2002 test beam. - The bad PMTs' readout can be obtained after fitting using the empirical formula. Compensation of the man-made bad PMTs‘ readout.

Dead channel corection Summary  If the dead channel is a seed crystal, it’s hopeless to get all the energy.  If NOT seed, from the relative effective of the dead channel correction, it’s a little overestimate.  Tried with real physics samples, Z->ee. Problem to login to ccali.in2p3.fr now. The results are unknown now a security incident yesterday Hello Junquan, I sent you an yesterday afternoon asking you to contact your czar password in order to get a new password. We indeed had a security incident yesterday, and some user's passwords have been changed. Your czar password are: czar password: name : Ollivier firstname : Thierry name : Pugnere firstname : Denis name : Giraud firstname : Yoan Cheers, Yvan

NN Result from NN method, S. Beauceron, Z→ee MC sample

Topic 3: Higgs2GaGa PVT(Physics Validation Team) Report  Was asked to look at the pre-production samples (10%~20% full production) before full production.  For the real data, can give simply and fast cut-base analysis results.  Usually the codes locate in the public dir /DQM/Physics. Now the latest version is still in my local directory:

DQM variables & validation The list of variables for H--->gamma gamma which we would like to consider : HLT path: "HLT_Photon15_L1R" SW version and validation samples: CMSSW_3_1_1 /RelValH130GGgluonfusion/CMSSW_3_1_1-STARTUP31X_V1-v2/GEN-SIM-RECO /PhotonJet_Pt0to15/Summer09-MC_31X_V2_preproduction_311-v1* /PhotonJet_Pt500toInf/Summer09-MC_31X_V2_preproduction_311-v1* /PhotonJet_Pt80/Summer09-MC_31X_V2_preproduction_311-*v1/* /PhotonJet_Pt80to120/Summer09-MC_31X_V2_preproduction_311_*v1/* /PhotonJet_Pt15/Summer09-MC_31X_V2_preproduction_311_*v1/* /PhotonJet_Pt1400/Summer09-MC_31X_V2_preproduction_311-*v1/* /PhotonJet_Pt470/Summer09-MC_31X_V2_preproduction_311-*v1/* /QCDDiJet_Pt80to120/Summer09-MC_31X_V3_preproduction_312-v1/GEN-SIM-RECO m_2gamma, pt_2gamma, eta_2gamma, cos(theta*), isolations of leading and subleading photons, Nvertex, (z_PVfromConversion-z_PVDefault) ……..

Configuration file import FWCore.ParameterSet.Config as cms higgsGaGaDQM = cms.EDAnalyzer("HiggsGaGaDQM", triggerPathToPass = cms.string("HLT_Photon15_L1R"), triggerResultsCollection = cms.InputTag("TriggerResults", "", "HLT"), photonCollection = cms.InputTag("photons"), PrimaryVertexCollection = cms.InputTag("offlinePrimaryVertices"), #Used for photon selection minPhotonEt = cms.double(20.0), minNumberPhoton = cms.int32(2), #Used for Isolation ISOMaxNumberTrack = cms.int32(0), ISOMaxSumPTTrack = cms.double(-1), #if not requirement, specify a value <0 ISOMaxSumETECAL_EB = cms.double(6.0), #ECAL Isolation in Barrel ISOMaxSumETECAL_EE = cms.double(3.0), #ECAL Isolation in Endcap ISOMaxSumETHCAL_EB = cms.double(6.0), #HCAL Isolation in Barrel ISOMaxSumETHCAL_EE = cms.double(5.0) #HCAL Isolation in Endcap ) /afs/cern.ch/user/j/jtao/scratch0/CMSSW_3_1_1/src/DQM/Physics/python/higgsGaGaDQM_cfi.py The criteria of gamma isolation with DeltaR=0.3

Variables: events & HLT information RelValH130GGgluonfusion/

Variables: events & HLT information PhotonJet_Pt0to15

Variables: m_2gamma, pt_2gamma, eta_2gamma, cos(theta*) RelValH130GGgluonfusion/

Variables: m_2gamma, pt_2gamma, eta_2gamma, cos(theta*) PhotonJet_Pt0to15

Variables: isolations of leading and subleading photons RelValH130GGgluonfusion/ PhotonJet_Pt0to15

Variables: isolations of leading photons

Variables: isolations of subleading photons PhotonJet_Pt0to15

Variables: m_2gamma after isolation requirement PhotonJet_Pt0to15 RelValH130GGgluonfusion/

Variables: Nvertex, (z_vertex-z_primary vertex) RelValH130GGgluonfusion/ PhotonJet_Pt0to15

Additional Variables: PT & Eta of leading and subleading photons RelValH130GGgluonfusion/

Higgs2GaGa PVT Summary  The analysis codes of Higgs2GaGa PVT haved devoleped and validated with the SW31X MC samples and Pre-production samples.  Validation procedure: Subgroups should designate >=2 persons to run the code to produce the plots (on pertinent T2s via CRAB) as soon as the datasets appear (with the idea that this code will be eventually ported to DQM/Physics) H  gg validators: J. TAO, (+ N. CHANON, S. GASCON…) Samples chosen to validate: gamma + jet, QCD di-jets…  Maybe the first look at the diphoton invariant mass spectrum with the Real Data for it’s simply and fast

Topic 4: FullSim/FastSim comparison in SW310  Focus on the photon shower shape & isolation variables.  Shower shape variables: R9, R19,S1/S25,S4/S25,S9/S25  Isolation variables: Ntrk with PT>1.5GeV, Sum PT of tracks, Sun ET of ECAL rechits, Sun ET of HCAL rechits, within  R=0.3.  Comparisons in Barrel and Endcap respectively (Unconverted case).  No Gamma-conversion in Fast Simulation

 comEnergy=10TeV  ggH130GaGa Generated with PYTHIA, events for full sim. and events for fast sim.  Gamma+Jet: Generated with ALPGEN pT(  )>2.0GeV |η(  )| 0.1 pT(jet)>20.0GeV |η(jet)| events for full sim. and events for fast sim.  2Jets samples: Generated with ALPGEN pT(jet)>50.0GeV |η(jet)| events for full sim. and events for fast sim.  Rec. requirements: Rec. Photon PT>20GeV ISO variables Shower shape variables with SunPTTrack<3.0GeV, SunETECAL<6.0(3.0)GeV in Barrel(Endcap), SumETHCAL<6.0(5.0)GeV in Barrel(Endcap). Samples

Isolation variables: Ntrk with PT>1.5GeV ggH130GaGa Unconverted case in Barrel Gamma+Jet 2Jets

Isolation variables: Sum PT of tracks ggH130GaGa Unconverted case in Barrel Gamma+Jet 2Jets

ggH130GaGa Isolation variables: Sum ET of ECAL rechits Unconverted case in Barrel Gamma+Jet 2Jets

Isolation variables: Sum ET of HCAL rechits Unconverted case in Barrel ggH130GaGa Gamma+Jet 2Jets

Shower shape variables: R9 Unconverted case in Barrel ggH130GaGa Gamma+Jet 2Jets

Shower shape variables: R19 Unconverted case in Barrel ggH130GaGa Gamma+Jet 2Jets

Shower shape variables: S1/S25 Unconverted case in Barrel ggH130GaGa Gamma+Jet 2Jets

Shower shape variables: S4/S25 Unconverted case in Barrel ggH130GaGa Gamma+Jet 2Jets

Shower shape variables: S9/S25 Unconverted case in Barrel ggH130GaGa Gamma+Jet 2Jets

Isolation variables: Ntrk with PT>1.5GeV Unconverted case in Endcap ggH130GaGa Gamma+Jet 2Jets

Isolation variables: Sum PT of tracks Unconverted case in Endcap ggH130GaGa Gamma+Jet 2Jets

Isolation variables: Sum ET of ECAL rechits Unconverted case in Endcap ggH130GaGa Gamma+Jet 2Jets

Isolation variables: Sum ET of HCAL rechits Unconverted case in Endcap ggH130GaGa Gamma+Jet 2Jets

Shower shape variables: R9 Unconverted case in Endcap ggH130GaGa Gamma+Jet 2Jets

Shower shape variables: R19 Unconverted case in Endcap ggH130GaGaGamma+Jet 2Jets

Shower shape variables: S1/S25 Unconverted case in Endcap ggH130GaGaGamma+Jet 2Jets

Shower shape variables: S4/S25 Unconverted case in Endcap ggH130GaGaGamma+Jet 2Jets

Shower shape variables: S4/S25 Unconverted case in Endcap ggH130GaGaGamma+Jet 2Jets

FullSim/FastSim comparison Summary  No Gamma conversion exist for the Full Simulation samples in SW31X.  For the Isolation variables of Unconverted case, the consistent between FullSim and FastSim is much better in Barrel, but still much different in Endcap.  For the Shower shape variables of Unconverted case, there is atill some diferent between FullSim and FastSim, both in Barrel and Endcap  So far, the Fast Simulation samples can not be used in the HiggsGaGa analysis instead of the Full Simulation ones.

try Topic 6: Gamma/Pi0 discrimination try in SW21X Review and redo of Converted Gamma/Pi0 discrimination in SW16X with CSA07 samples Converted Gamma/Pi0 discrimination for 1 track case in SW21X Converted Gamma/Pi0 discrimination for 2 tracks case in SW21X Unconverted case in EB (problem, shower shape variables are alomost the same with the samples) Continue………..!!!

Review of converted Gamma/Pi0 discrimination in SW16X with CSA07 samples  Samples : mH=120GeV gg fusion H->GaGa, QCD  Selection at the reconstructed level : - Use of converted photon collection in CMSSW_1_6_12 and ask isConverted=1. - |  |< Events are selected if there is at least one photon with Et>40 GeV. TMVA is then applied to all photons which have Et>25 GeV - Tracker ISO : No tracks with pt>1.5 GeV inside ΔR<0.3 around the direction of the photon candidate. We consider tracks with hits in at least two layers of the silicon pixel detector. - Ecal ISO : Sum of Et of the ECAL basic clusters within 0.06<ΔR<0.35 around the direction of the photon candidate <6 GeV in barrel, <3 GeV in endcap. If one of the candidates is in endcap the other has to satisfy : Sum of Et of the ECAL<3 - Hcal ISO : Sum of Et of the HCAL towers within ΔR<0.3 around the direction of the photon candidate<6 GeV (5 GeV) in barrel (endcap)‏

Results of converted Gamma/Pi0 discrimination for 1 track case in SW16X ZhenNicolasXiao eoverp√√ ptoverjetpt√√√ cEP√√√ closestSC_dR√√√ cPP√√√ s9/(conpho_s9- conpho_s1-conpho_s2) √√√ r9√√√ dR_SCtrkclosest (Pt>5.0GeV) √√ SigmaEta√ SigmaPhi√ closesttrk_ptfraction (Pt>5.0GeV) √ Events: Sig-5866, bkg-6442; No PT bin From Nicolas presentation 22/05/2009 IHEP CMS meeting From Zhen’s thesis Repeat results by Tao

Results of converted Gamma/Pi0 discrimination for 2 tracks case in SW16X ZhenNicolasXiao eoverp√√ ptoverjetpt√√√ cEP√√√ closestSC_dR√√√ cPP√√√ s9/(conpho_s9- conpho_s1-conpho_s2) √√√ r9√ dR_SCtrkclosest (Pt>5.0GeV) √√ SigmaEta√ SigmaPhi√√ closesttrk_ptfraction (Pt>5.0GeV) √ pairsep√√ trk34overEt√√ Events: Sig-11876, bkg-6442; No PT bin From Nicolas presentation 22/05/2009 IHEP CMS meeting From Zhen’s thesis Repeat results by Tao

Problem with BDT method for Gamma/Pi0 discrimination : Overtraining Zhen’s variablesNicolas’ variables Xiao’s variables 1 track case

2 track case Zhen’s variablesNicolas’ variables Xiao’s variables

Other method for Gamma/Pi0 discrimination :  Try with Nocolas’ variables  Method: MLP & RuleFit  No overtraining problem

Converted Gamma/Pi0 discrimination in SW21X  Samples : mH=120GeV gg fusion H->GaGa (SW2_1_8, 10TeV) qcd_filter_ckin3_60 (CRAB from Caltech DBS, SW_2_1_17, 14TeV)  Selection at reconstructed level : - Photon Et>20 GeV -Tracker ISO : No tracks with pt>1.5 GeV inside ΔR<0.3 around the direction of the photon candidate. We consider tracks with hits in at least two layers of the silicon pixel detector. -Ecal ISO : Sum of Et of the ECAL RecHits ΔR<0.30 around the direction of the photon candidate <6 GeV in barrel, <3 GeV in endcap. -Hcal ISO : Sum of Et of the HCAL RecHits within ΔR<0.3 around the direction of the photon candidate<6 GeV (5 GeV) in barrel (endcap)‏

Results of converted Gamma/Pi0 discrimination for 1 track case in SW21X ZhenNicolasXiaoTao eoverp√√√ ptoverjetpt√√√√ cEP√√√√ closestSC_dR√√√√ cPP√√√√ s9/(conpho_s9- conpho_s1-conpho_s2) √√√√ (inverse) r9√√√√ dR_SCtrkclosest (Pt>5.0GeV) √√√ SigmaEta√√ SigmaPhi√√ closesttrk_ptfraction (Pt>5.0GeV) √√ cEE√ Events: Sig-80438, bkg-27031; No PT bin

MLP method for 1 track case Zhen’s variables Nicolas’ variables Xiao’s variables Tao’s variables

Distributions of converted Gamma/Pi0 discrimination for 1 track case in SW21X --- NoTransform : NoTransform : Rank : Variable : Separation --- NoTransform : NoTransform : 1 : NN_Conv1trk_phPTFraction : 3.148e NoTransform : 2 : NN_Conv1trk_DeltaRsc : 2.129e NoTransform : 3 : NN_Conv1trk_cEE : 1.970e NoTransform : 4 : NN_Conv1trk_DeltaRtrk5 : 1.584e NoTransform : 5 : NN_Conv1trk_SigmaEta : 1.328e NoTransform : 6 : NN_Conv1trk_cPP : 1.188e NoTransform : 7 : NN_Conv1trk_R9 : 9.964e NoTransform : 8 : NN_Conv1trk_SigmaPhi : 8.851e NoTransform : 9 : NN_Conv1trk_cEP : 7.488e NoTransform : 10 : NN_Conv1trk_S9mE1E2oS9 : 5.992e NoTransform : 11 : NN_Conv1trk_EoP : 1.011e NoTransform : 12 : NN_Conv1trk_trkPTFraction : 2.280e NoTransform : From Nicolas in SW16x

Results of converted Gamma/Pi0 discrimination for 2 tracks case in SW21X ZhenNicolasXiaoTao eoverp√√√ ptoverjetpt√√√√ cEP√√√√ closestSC_dR√√√√ cPP√√√√ s9/(conpho_s9- conpho_s1-conpho_s2) √√√√ (inverse) r9√ dR_SCtrkclosest (Pt>5.0GeV) √√√ SigmaEta√√ SigmaPhi√√√ closesttrk_ptfraction (Pt>5.0GeV) √√ pairsep√√√√ trk34overEt cEE√ Events: Sig-82186, bkg-21580; No PT bin 1 photon corresponds to only 1 conversion, at most 2 tracks, no 1 photon corresponds to only 1 conversion, at most 2 tracks, no trk34overEt

--- NoTransform : Ranking result (top variable is best ranked) --- NoTransform : NoTransform : Rank : Variable : Separation --- NoTransform : NoTransform : 1 : NN_Conv2trk_phPTFraction : 3.018e NoTransform : 2 : NN_Conv2trk_DeltaRsc : 2.023e NoTransform : 3 : NN_Conv2trk_DeltaRtrk5 : 1.692e NoTransform : 4 : NN_Conv2trk_cEE : 1.686e NoTransform : 5 : NN_Conv2trk_SigmaEta : 1.087e NoTransform : 6 : NN_Conv2trk_cPP : 8.751e NoTransform : 7 : NN_Conv2trk_SigmaPhi : 6.265e NoTransform : 8 : NN_Conv2trk_cEP : 5.160e NoTransform : 9 : NN_Conv2trk_S9mE1E2oS9 : 4.306e NoTransform : 10 : NN_Conv2trk_EoP : 4.035e NoTransform : 11 : NN_Conv2trk_DeltaTanTheta : 1.357e NoTransform : 12 : NN_Conv2trk_trkPTFraction : 1.089e NoTransform : Distributions of converted Gamma/Pi0 discrimination for 2 track case in SW21X

MLP method for 2 track case Zhen’s variables Nicolas’ variables Xiao’s variables Tao’s variables

Unconverted Gamma/Pi0 discrimination in SW21X  Samples : mH=120GeV gg fusion H->GaGa (SW2_1_8) qcd_filter_ckin3_60 (Caltech DBS, SW_2_1_17)  Selection at reconstructed level : - Photons Et>20 GeV -Tracker ISO : Sum PT of tracks with pt>1.5 GeV inside ΔR<0.3 around the direction of the photon candidate, divided by the Photon ET, less than  6 PT bins: 20-25GeV 25-35GeV 35-45GeV 45-55GeV 55-65GeV >65GeV  Seems that there are some problems on the shower shape variables CMS AN-2008/063

Results of Unconverted Gamma/Pi0 discrimination for PT bin: 25-35GeV

Variables of Unconverted Gamma/Pi0 discrimination for PT bin: 25-35GeV

CSA07 distributions in my thesis R19 S4/S25 Lambda2/Lambda1

CMS AN-2008/063 CSA07 distributions with PT bin =20GeV in CMS AN-2008/063

CMS AN-2008/063 CSA07 Results in CMS AN-2008/063

Gamma/Pi0 discrimination Summary  For the Converted Gamma/Pi0 discrimination in SW16X were redone with TMVA. The overtraining problem with the BDT method was mentioned.  Have a look at the Converted Gamma/Pi0 discrimination in SW21X, both the BDT and MLP method wre used.  For the unconverted case, there were some problem about the used samples. The shower shape variables are alomost the same with the samples.  The work should be continue. The overtraining should be examined carefully.

Topic 7: Others  Z→ll+  production with ALPGEN then Lyon For I started the Z→μμ+  studies with ALPGEN and CMSSW_1_3_1 in year Generated with ALPGEN: pT(l)>10.0GeV |η(l)| 0.05 pT(  )>10.0GeV |η(  )| 0.7 △ R(  -  )>0.7 comEnergy=10TeV&14TeV respectively FullSim & Reco in SW227: Z→μμ+  : 58357events for 10TeV and events for 14TeV Z→ee+  : 15070events for 10TeV and events for 14TeV MC samples were moved to /castor/cern.ch/cms/generation/eegamma_alpgen/double-count-PYTHIA-PS/CMSSW_2_2_7 /

 Fix the cross section problem of bkg BB2MUMU (b+X--- >mu + X) sample for the Z→μμ+  study: missing the branch ratio of b->MuX pb * (filter efficiency) * 10.95%(PDG BR of b->MuX) = pb * 10.95% 100pb -1

 3 presentations: 1) Update on single channel recovery (shower profile method) : ECAL reconstruction, 30 April 2009, CERN 2) Application of parametric EM shower - Gamma/Pi0 discrimination and dead channel correction : CMS France Physique, May 2009, Institut Pluridisciplinaire Hubert Curien – Strasbourg, France 3) Discussion on PVT for Higgs to gamma gamma : Higgs->gammagamma sub- group meeting, 16 July 2009, CERN

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Backup Slides

X + 0jet & X + 1jet

Z→μμ+ 