Electron-faking-tau veto Alex Tuna Ryan Reece Brig Williams - - PowerPoint PPT Presentation

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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


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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

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SLIDE 2

Signal efficiency 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 Background efficiency

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| < 0.80 η | ≤ 0.00 | < 1.37 η | ≤ 0.80 | < 1.52 η | ≤ 1.37 | < 2.00 η | ≤ 1.52 | η | ≤ 2.00 ATLAS Internal Simulation = 8 TeV s TauEleBDT Winter 2013

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

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SLIDE 3

[GeV]

T

p 20 30 40 50 60 70 Signal efficiency 0.5 0.55 0.6 0.65 0.7 0.75 0.8 0.85 0.9 0.95 1

TauEleBDT loose TauEleBDT medium TauEleBDT tight ATLAS Internal Simulation = 8 TeV s

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

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SLIDE 4

N(vertices) 5 10 15 20 25 Signal efficiency 0.5 0.55 0.6 0.65 0.7 0.75 0.8 0.85 0.9 0.95 1

TauEleBDT loose TauEleBDT medium TauEleBDT tight ATLAS Internal Simulation = 8 TeV s

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

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SLIDE 5

[GeV]

T

p 20 30 40 50 60 70 Background efficiency 0.02 0.04 0.06 0.08 0.1 0.12

TauEleBDT loose TauEleBDT medium TauEleBDT tight ATLAS Internal Simulation = 8 TeV s

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

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SLIDE 6

N(vertices) 5 10 15 20 25 Background efficiency 0.02 0.04 0.06 0.08 0.1 0.12

TauEleBDT loose TauEleBDT medium TauEleBDT tight ATLAS Internal Simulation = 8 TeV s

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