Electron-faking-tau veto
Alex Tuna Ryan Reece Brig Williams
University of Pennsylvania
February 25, 2013 On behalf of Tau WG
Tuna Electron-faking-tau veto 1
Electron-faking-tau veto Alex Tuna Ryan Reece Brig Williams - - PowerPoint PPT Presentation
Electron-faking-tau veto Alex Tuna Ryan Reece Brig Williams University of Pennsylvania February 25, 2013 On behalf of Tau WG Tuna Electron-faking-tau veto 1 -1 10 Background efficiency 0.00 | | < 0.80 TauEleBDT Winter
University of Pennsylvania
Tuna Electron-faking-tau veto 1
Background efficiency as a function of signal efficiency with a Boosted Decision Tree (BDT) algorithm for 1-prong τhad–vis candidates with pT > 15 GeV and |η| < 2.5. The signal efficiency is obtained using Z/ γ⋆ → ττ simulated events. The background efficiency is obtained using Z/ γ⋆ → ee simulated events. Candidates are required to pass loose tau identification and not overlap with reconstructed electron candidates which pass tight electron identification within a ∆R-cone of 0.4. Signal (background) candidates are further required to overlap with a truth τhad–vis (electron).
Tuna Electron-faking-tau veto 2
Signal efficiency of the Winter 2013 TauEleBDT for 1-prong τhad–vis candidates as a function of reconstructed transverse momentum for pT > 15 GeV and |η| < 2.5. The identification is performed using a BDT algorithm at a loose, medium, or tight working point. The efficiency is obtained using Z/ γ⋆ → ττ simulated events.
Tuna Electron-faking-tau veto 3
Signal efficiency of the Winter 2013 TauEleBDT for 1-prong τhad–vis candidates as a function of the number of reconstructed vertices for pT > 15 GeV and |η| < 2.5. The identification is performed using a BDT algorithm at a loose, medium, or tight working point. The efficiency is obtained using Z/ γ⋆ → ττ simulated events.
Tuna Electron-faking-tau veto 4
Background efficiency of the Winter 2013 TauEleBDT for 1-prong τhad–vis candidates as a function of reconstructed transverse momentum for pT > 15 GeV and |η| < 2.5. The identification is performed using a BDT algorithm at a loose, medium, or tight working point. The efficiency is obtained using Z/ γ⋆ → ee simulated events.
Tuna Electron-faking-tau veto 5
Background efficiency of the Winter 2013 TauEleBDT for 1-prong τhad–vis candidates as a function of the number of reconstructed vertices for pT > 15 GeV and |η| < 2.5. The identification is performed using a BDT algorithm at a loose, medium, or tight working point. The efficiency is obtained using Z/ γ⋆ → ee simulated events.
Tuna Electron-faking-tau veto 6