Analysis Summary: Systematic Uncertainties and Fake Factor Evaluation

The weekly report dated 24/02/2020 by Shuiting Xin provides insights into systematic uncertainties in the data analysis procedure. Uncertainties originating from a data-driven method are discussed, with a focus on negligible uncertainties in certain scenarios. The evaluation of fake factors involving statistics propagated from QmisID rate and extrapolation methods is outlined. Closure tests and analysis procedures are emphasized for staff familiarization. The report highlights the dominance of ttbar and Wjets in the processes analyzed.

• Systematic uncertainties
• Fake factor evaluation
• Data analysis
• Closure test
• QmisID rate

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1. Weekly Report 24/02/2020 Shuiting Xin 2024/9/26 1

2. 2LSS systematic uncertainties Uncertainties from data-driven method QmisID Very low bkgs even in sideband. Uncertainties could be negligible. Since this term doesn t matter, no need to fit it better. Sources: statistics, difference between truth and likehood, Zpeak region 2024/9/26 2

3. Fake factor Sources : Statistics propagated from QmisID rate suspect to be 15% Extrapolation from low jet region to high jet region Using ttbar(semi-lepton decay, only one tight lepton?) to estimate Predict fakes by FF-method and compare with real fakes (require two tight lepton,or from lep_isfake* if this truth-info is correct) Didn t find the samples now, done with 450720(at least one lepton) processes dependence Dominated by ttbar and Wjets Wjets are soft than ttbar, larger ratio from heavy flavor decay in ttbar than Wjets MC cross-section propagated from prompt, Vgam MC simulations 2024/9/26 3

4. 1<=Njet<=2 Sys uncert. on e Sys uncert. on mu Statistics 0.049 0.097 QmisID 0.15 0.15 Closure test 0.028 0.041 (highly underestimated now) Since most of staffs are not fixed, plan to be familiar with the analysis procedure but not the result 2024/9/26 4