1 / 18

Data Driven Decomposition Method for MET acceptance

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

neron
Download Presentation

Data Driven Decomposition Method for MET acceptance

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Data Driven Decomposition Method for MET acceptance Dong Liu, Zhijun Liang July 25, 2011

  2. Motivation Bunch  pile-up  MET Data Zee

  3. 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

  4. Fake MET In Z events • Parallel MET Perpendicular MET

  5. Bias vsZ_pt • Perpendicular MET • Parallel MET

  6. MET Resolution vsSumET SumET: leptons/photons subtracted

  7. Bunch dependence Zee events: Data Data MC MC

  8. Bunch dependence Data Zee events:

  9. Bias from W/Wgamma Wenu Wgamma Wgamma FSR Wgamma ISR

  10. MET calculation • Parallel MET • Perpendicular MET

  11. Fake MET Zee Wenu Red :MET_Truth-MET_reco Black:Smearing function in previous page

  12. MET WenuWgamma

  13. Acceptance

  14. 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

  15. Sumet WenuWgamma

  16. Sumet +-10% WenuWgamma

  17. Uncertainty due to sumet Sumet were shifted by 10%

  18. Conclusion Could calculate the MET acceptance using Data Driven Decomposition Method Uncertainties

More Related