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Report Jet-veto SF and Uncertainties Jet smearing. Lailin Xu, Haijun Yang, Bing Zhou The University of Michigan. Outline. Jet-veto SF and uncertainties Effects of Jet smearing on MET MET with/without METUtility WW/top/tautau background uncertainties. Jet Veto SF and Uncertainties.
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ReportJet-veto SF and UncertaintiesJet smearing Lailin Xu, Haijun Yang, Bing Zhou The University of Michigan
Outline • Jet-veto SF and uncertainties • Effects of Jet smearing on MET • MET with/without METUtility • WW/top/tautau background uncertainties
Jet Veto SF and Uncertainties • SF =eZZ(data)/ eZZ(MC) = eZ(data)/eZ(MC) • Control samples: Data (p833, 4.7 fb-1) Z ee and Z mm MC (MC11C): Z ll MC@NLO/Herwig, ALPGEN, PYTHIA • Systematic uncertainties • Parton showing modeling (with diff. MC generator) • JES/JER (using ATLAS package to smear jet ET)
Jet-veto SF Results • SF = 0.96 (both for ee and for mm) from MC@LNO Z MC compared to WW analysis: SF = 0.963 • Systematic uncertainty • < 0.3% due to JES/JER • ~ 5% due to different MC generator (Alpgen gives SF = 1.00; Pythia gives SF = 1.02)
Jet smearing effects on MET:ee With jet smearing (for all the EM-jets by hand) Compared to no jet smearing
Jet smearing effects on MET:mm With jet smearing (for all the EM-jets by hand) Compared to no jet smearing
MET with METUtility:ee MET with the Tool Compared to without tool
MET with METUtility:mm MET with the Tool MET without the Tool
WW/top/tautau background estimation method formular: are efficiency factor for ee and mm events Here Z+jets is the DY contribution without Ztautau