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  4. Performance of reconstruction and identification of $\tau$ leptons decaying to hadrons and $\nu_\tau$ in pp collisions at $\sqrt{s}=$ 13 TeV
 
research article

Performance of reconstruction and identification of $\tau$ leptons decaying to hadrons and $\nu_\tau$ in pp collisions at $\sqrt{s}=$ 13 TeV

Sirunyan, A.M.
•
Tumasyan, Armen
•
Adam, Wolfgang
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October 2, 2018
Journal of Instrumentation

The algorithm developed by the CMS Collaboration to reconstruct and identify τ leptons produced in proton-proton collisions at √s=7 and 8 TeV, via their decays to hadrons and a neutrino, has been significantly improved. The changes include a revised reconstruction of π0 candidates, and improvements in multivariate discriminants to separate τ leptons from jets and electrons. The algorithm is extended to reconstruct τ leptons in highly Lorentz-boosted pair production, and in the high-level trigger. The performance of the algorithm is studied using proton-proton collisions recorded during 2016 at √s=13 TeV, corresponding to an integrated luminosity of 35.9 fb-1. The performance is evaluated in terms of the efficiency for a genuine τ lepton to pass the identification criteria and of the probabilities for jets, electrons, and muons to be misidentified as τ leptons. The results are found to be very close to those expected from Monte Carlo simulation.

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Type
research article
DOI
10.1088/1748-0221/13/10/P10005
ArXiv ID

1809.02816

Author(s)
Sirunyan, A.M.
Tumasyan, Armen
Adam, Wolfgang
Ambrogi, Federico
Asilar, Ece
Bergauer, Thomas
Brandstetter, Johannes
Dragicevic, Marko
Erö, Janos
Escalante Del Valle, Alberto
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Date Issued

2018-10-02

Published in
Journal of Instrumentation
Volume

13

Issue

10

Start page

P10005

End page

P10005

Subjects

p p: scattering

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p p: colliding beams

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numerical calculations: Monte Carlo

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tau: hadronic decay

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tau: particle identification

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pi0: particle identification

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performance

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tau: pair production

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particle identification: efficiency

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trigger

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boosted particle

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CMS

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CERN LHC Coll

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track data analysis

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data analysis method

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experimental results

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13000 GeV-cms

Editorial or Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
LPHE  
Available on Infoscience
February 17, 2020
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/166153
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