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SMP-V: Report for Luminosity Calibration Study

SMP-V: Report for Luminosity Calibration Study. Jiyeon Han, Ping Tan Alexey Svyatkovskiy, Hwidong Yoo Stoyan Stoynev Ilya Kravchenko, Jamila Butt Youn Roh, Efe Yazgan. Introduction. Significant luminosity calibration issue with 2011 dataset is introduced from Luminosity group

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SMP-V: Report for Luminosity Calibration Study

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  1. SMP-V: Report for Luminosity Calibration Study Jiyeon Han, Ping Tan Alexey Svyatkovskiy, Hwidong Yoo Stoyan Stoynev Ilya Kravchenko, Jamila Butt Youn Roh, Efe Yazgan

  2. Introduction • Significant luminosity calibration issue with 2011 dataset is introduced from Luminosity group • https://indico.cern.ch/getFile.py/access?contribId=2&resId=0&materialId=slides&confId=169386 • About 7.5% uncertainty • SMP-V group organizes the task force team to investigate the issue using Zmumu and Zee events • Single ISO muon trigger based • Based on muon charge asymmetry analysis • Double muon trigger based • Based on Drell-Yan measurement • Double electron trigger based • Based on Drell_Yan & AFB measurements • Products • Number of Z candidates as a function of run period • Efficiency as a function of run period / number of vertices • Z yield corrected by efficiency • Absolute Z cross section • Predicted luminosity using Z cross section (using NNLO Z cross section)

  3. lumiCalc2.py • We use 3 different version of lumiCalc2.py • Plain version: default described in https://twiki.cern.ch/twiki/bin/view/CMS/LumiCalc • Will call as v1 in this talk • v2: updated in last week. It is available in HEAD • --correctionv2 • v3: updated yesterday. It needs to change in scripts manually

  4. Single Iso-Mu Trigger • Provided by Jiyeon Han, Ping Tan

  5. Samples & Event Selection • Samples • Runs_160325-163268 : Run2011A-May10ReReco-v1_AOD • Runs_163269-163869_DS_SingleMu_Run2011A-May10ReReco-v1_AOD • Runs_165071-165761_DS_SingleMu_Run2011A-PromptReco-v4_AOD • Runs_165762-167043_DS_SingleMu_Run2011A-PromptReco-v4_AOD • Runs_167044-167913_DS_SingleMu_Run2011A-PromptReco-v4_AOD • Runs_170053-172619_DS_SingleMu_Run2011A-05Aug2011-v1_AOD • Runs_172620-173235_DS_SingleMu_Run2011A-PromptReco-v6_AOD • Runs_173236-173692_DS_SingleMu_Run2011A-PromptReco-v6_AOD • Runs_175832-178419_DS_SingleMu_Run2011B-PromptReco-v1_AOD • Runs_178420-179958_DS_SingleMu_Run2011B-PromptReco-v1_AOD • Runs_179959-180252_DS_SingleMu_Run2011B-PromptReco-v1_AOD • Trigger • HLT_IsoMu15 up to run = 163268 • HLT_IsoMu24 for 2011A data set above run = 163269 • HLT_IsoMu30 for 2011B data set • Selection • VBTF baseline selection • Slide 3: https://indico.cern.ch/getFile.py/access?contribId=2&resId=0&materialId=slides&confId=167985

  6. Run Period • Run period 1 : a. 5E32; May10; run range (160404-163869) • Run period 2 : b. 1.4E33; PromptV4; run range (165088-167913) • Run period 3 : c. 2E33; Aug05+PromptV6; run range (170249-173198) • Run period 4 : d. 3E33; PromptV6; run range (173236-173692) • Run period 5 : e. 3E33(higher PU); 2011B; run range (175971-178419) • Run period 6 : f. 5E33; 2011B; run range (178420-180252)

  7. Efficiencies • Single muon object efficiency as a function of run period and number of vertices Trigger efficiency Reco+ID efficiency

  8. N (events) / Efficiencies lumiCalc2.py v1 • Efficiency corrected number of events which we can check the trend of luminositycalculation • Normalize using existing lumiCalc2.py • The results are in CMS acceptance • No acceptance correction is applied • Leading muon pt > 30 GeV • 2nd leading muon pt > 20 GeV • Both muons |eta| < 2.1 3% lumiCalc2.py v3 lumiCalc2.py v2 1.5% 7.5%

  9. Double Muon Trigger • Provided by Alexey Svyatkovskiy, Stoyan Stoynev, Hwidong Yoo

  10. Samples & Event Selection • Use DoubleMu PD • /DoubleMu/Run2011A-May10ReReco-v1/AOD (160404-163869) • /DoubleMu/Run2011A-PromptReco-v4/AOD (165088-167913) • /DoubleMu/Run2011A-05Aug2011-v1/AOD (170249-173198) • /DoubleMu/Run2011A-PromptReco-v6/AOD (173236-173692) • /DoubleMu/Run2011B-PromptReco-v1/AOD (175971-180252) • Use HLT_DoubleMu6 + HLT_Mu13_Mu8 • MC: DYM20 Fall11 42X • Event selection: event selection using in DY differential cross section measurement • Baseline muon ID • Muon1 pt > 14 GeV, muon2 pt > 9 GeV • PF-based isolation

  11. Efficiencies (1) • Efficiency is determined using t&p method • Measurement single muon object efficiency and event efficiency is estimated by eff (event) = eff(mu1) * eff(mu2) • This way doesn’t take into account for all system uncertainties and correlation between two legs of trigger. We should consider 2-3% level of systematic uncertainties on the determination. RunBv1: 175832-178078

  12. Efficiencies (2) • Efficiencies as function of run period and number of vertices

  13. MC Inputs • We use the MC inputs to determine absolute Z cross section

  14. Luminosity Expectation (1) • Predicted luminosity is determined using the number of Z candidates passing all selection, and efficiencies, acceptance with theoretical cross section (970 pb) from NNLO. • Well agreement with lumiCalc2.py v2 With v3 1.8% 3.3% 4.1% 4.5% 3.2% ~0% 1.4% 1.8% 1.7% ~0%

  15. Luminosity Expectation (2) • Absolute Z cross section and luminosity prediction as a function of run period LumiCalc2.py v1 is used T.S. Merge 3 consecutive runs Merge 10 consecutive runs Used Run < 178420

  16. Luminosity Expectation (3) • Test with lumiCalc2.py v2 Merge 3 consecutive runs Merge 10 consecutive runs Used Run < 178420

  17. Luminosity Expectation (4) • Test with lumiCalc2.py v3 Merge 3 consecutive runs Merge 10 consecutive runs Used Run < 178420

  18. Zee • Provided by Ilya Kravchenko, Jamila Butt, Youn Roh, Efe Yazgan • Event yields after selection • Normalized integrated luminosity • No efficiency correction • No acceptance correction • More corrections are needed to check the trend observed in Zmumu Apply energy scale correction

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