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. 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

13. 16 bin of pt distribution of (2S) candidates
(con’t)

14. 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’

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

16. 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 events
pp →gpsi(2S) using grid.
filter efficiency is