(2S) Measument with CMS 10 TeV Data

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Presentation transcript:

(2S) Measument with CMS 10 TeV Data Jianguo Bian and Xiangwei Meng CMS Group, Beijing Sep 28 2009 Purpose: to measure (2S) cross section and pt distribution and decay length using early 10 TeV CMS data.

Signal includes two part: 1. Prompt (2S): pp→g(2S) the dataset /Psi2S_1S/Summer08_IDEAL_V9_v2/ GEN-SIM-RECO is produced by CMS group using Pythia and CMSSW_2_1_8, the number of events is 214778, the filter is ||<2.5 and pt> 2.5 GeV for dimuon, the cross section is 4213 pb, hereafter the cross section has taken the fractions and filter efficiency(0.0175) into account.

the dataset /BtoJpsiMuMu/Summer08_IDEAL 2. non-Prompt (2S): pp→b→ (2S) → the dataset /BtoJpsiMuMu/Summer08_IDEAL _V9_v2/GEN-SIM-RECO is produced by CMS group using Pythia and CMSSW_2_1_7, the number of events is 2434076, the filter is|| <2.5 and pt>2.5 GeV for dimuon, the cross section is 24667.6 pb, which includes the filter efficiency 0.0006444. It should be noted that the dataset also includes pp →b →

Background includes two part: 2. Prompt pp→ the dataset is /JPsi/Summer08_IDEAL_V9_v1/ GEN-SIM-RECO produced by CMS group using Pythia and CMSSW_2_1_8, the number of events is 1847135, the filter is ||<2.5 and pt>2.5 GeV for dimuon, the cross section is 12720 pb, which includes the filter efficiency (0.0074). It should be emphasized the dataset excludes the undirect production (2S) →

the dataset /InclusivePPmuX/Summer08_IDEAL_ 2. QCD process: pp→inclusive the dataset /InclusivePPmuX/Summer08_IDEAL_ V11_redigi_v1/GEN-SIM-RECO is produced by CMS group using Pythia and CMSSW_2_2_1, the number of events is 5309035, the filter is ||< 2.5 and pt>2.5 GeV for single muon, the cross section is 51.56 MB, which includes the filter efficiency (0.002305).

event selection All the processes are normalized to 50/fb. cut 1: the mass of 2  < 0.59 ; cut 2: minimal R (±, 22)<0.6, maximal < 1.0, here 22 is (2S) candidate; cut 3: R (2, 22)<0.07, here 2 is cut 4: minimal R (±, 2)<0.4, maximal < 1.0; cut 5: R (+, 2)+ R (-, 2)+ R (-, + ) <2.0; cut 6: 0.05<ratio of scalar sum of 2 pt to scalar sum of 2 pt <0.38;

the mass of (2S) candidate

the mass resolution of (2S) candidate

the decay length of (2S) candidate

pt of (2S) candidate

angle of decay length and momentum of (2S) candidate

16 bin of pt distribution of (2S) candidates The lower edges of the bins are: 2.,3.,4.,5.,6.,7.,8.,9.,10.,11.5, 13.,15.,17.,20.,24.,30. GeV

16 bin of pt distribution of (2S) candidates (con’t)

pt distribution of (2S) from generator It should have not generaor information of psi’ It should have not generaor information of psi’ It should have generaor Information of psi’

Efficiency = pt distribution of (2S) selected / pt distribution of (2S) from generator

What I did in last week: 1. continued to analyze the Monte Carlo events in CMSSW_2_2_6. 2. changed the analysis program in version of 2_2_6 into 3_1_2. 3. analyzed the background pp →inclusivePPMuX in CMSSW_3_1_2. 4. write the genarator pp →gpsi(2S) in CMSSW_3_1_2. 5. Generated , reconstructed 10000 events pp →gpsi(2S) using grid. filter efficiency is 0.192.