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This study presents a data-driven method for calculating the Missing Energy Transverse (MET) acceptance in W/Wgamma analyses, utilizing decomposed MET components from Z events. The method categorizes fake MET based on the transverse momentum of the boson and the event's total energy, assessing biases in MET distribution across various conditions. The research highlights the resolution of MET components and examines correlated uncertainties arising from statistical variations and the nature of signal and background events. Findings contribute to improved MET analysis accuracy in particle physics experiments.
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Data Driven Decomposition Method for MET acceptance Dong Liu, Zhijun Liang July 25, 2011
Motivation Bunch pile-up MET Data Zee
The Idea --from Stefan etc. • Use a data driven method to calculate MET acceptance for W/Wgamma analysis • MET = Real + Fake • Fake MET extracted from the Z Events using Decomposition method. Characterizedby the boson pt and the event SumEt: • Perpendicular to boson Pt • --random source ->SumEt • Parallel to boson Pt • --Hadron energy scale ->Boson pt • --random source ->SumEt
Fake MET In Z events • Parallel MET Perpendicular MET
Bias vsZ_pt • Perpendicular MET • Parallel MET
MET Resolution vsSumET SumET: leptons/photons subtracted
Bunch dependence Zee events: Data Data MC MC
Bunch dependence Data Zee events:
Bias from W/Wgamma Wenu Wgamma Wgamma FSR Wgamma ISR
MET calculation • Parallel MET • Perpendicular MET
Fake MET Zee Wenu Red :MET_Truth-MET_reco Black:Smearing function in previous page
MET WenuWgamma
Systematic Uncertainties • Calculation: • statistical uncertainties ->plenty events • Difference between in Z and W(gamma) events • Background in Z events ->small • Incorrectly determined SumEt • Difference between Reconstruction MET and new MET --Non_Closure test
Sumet WenuWgamma
Sumet +-10% WenuWgamma
Uncertainty due to sumet Sumet were shifted by 10%
Conclusion Could calculate the MET acceptance using Data Driven Decomposition Method Uncertainties