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(2S) Measument with CMS 10 TeV Data

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Presentation on theme: "(2S) Measument with CMS 10 TeV Data"— Presentation transcript:

1 (2S) Measument with CMS 10 TeV Data
Jianguo Bian and Xiangwei Meng CMS Group, Beijing Sep Purpose: to measure (2S) cross section and pt distribution and decay length using early 10 TeV CMS data.

2 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 , 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.

3 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 , the filter is|| <2.5 and pt>2.5 GeV for dimuon, the cross section is pb, which includes the filter efficiency It should be noted that the dataset also includes pp →b →

4 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 , the filter is ||<2.5 and pt>2.5 GeV for dimuon, the cross section is pb, which includes the filter efficiency (0.0074). It should be emphasized the dataset excludes the undirect production (2S) →

5 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 , the filter is ||< 2.5 and pt>2.5 GeV for single muon, the cross section is MB, which includes the filter efficiency ( ).

6 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;

7 the mass of (2S) candidate

8 the mass resolution of (2S) candidate

9 the decay length of (2S) candidate

10 pt of (2S) candidate

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

12 pt distribution of (2S) candidates
The pt distribution is divided in to 16 bin. 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

13 pt distribution of (2S) candidates(con’t)
Candidate is 22 from all the reconstructed events.

14 pt distribution of (2S) candidates(con’t)
Candidate 22 are from the reconstructed events containing real (2S) at generator level

15 pt distribution of (2S) from generator

16 Efficiency = pt distribution of (2S) in side14 /
pt distribution of (2S) from generator in side15


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