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Else Lytken

Else Lytken

Professor

Else Lytken

Reconstruction and identification of pairs of collimated τ-leptons decaying hadronically using s=13 TeV pp collision data with the ATLAS detector

Author

  • G. Aad
  • T.P.A. Åkesson
  • K.S.V. Astrand
  • C. Doglioni
  • P.A. Ekman
  • V. Hedberg
  • H. Herde
  • B. Konya
  • E. Lytken
  • R. Poettgen
  • O. Smirnova
  • E.J. Wallin
  • L. Zwalinski

Summary, in English

This paper describes an algorithm for reconstructing and identifying a highly collimated hadronically decaying τ-lepton pair with low transverse momentum. When two τ-leptons are highly collimated, their visible decay products might overlap, degrading the reconstruction performance for each of the τ-leptons. A dedicated treatment attempting to tag the τ-lepton pair as a single object is required. The reconstruction algorithm is based on a large radius jet and its associated two leading subjets, and the identification uses a boosted decision tree to discriminate between signatures from τ+τ- systems and those arising from QCD jets. The efficiency of the identification algorithm is measured in Zγ events using proton–proton collision data at s=13 TeV collected by the ATLAS experiment at the Large Hadron Collider between 2015 and 2018, corresponding to an integrated luminosity of 139fb-1. The resulting data-to-simulation scale factors are close to unity with uncertainties ranging from 26 to 37%. © The Author(s) 2025.

Department/s

  • Particle and nuclear physics
  • eSSENCE: The e-Science Collaboration
  • Department of Physics

Publishing year

2025

Language

English

Publication/Series

European Physical Journal C

Volume

85

Issue

5

Document type

Article

Publisher

Springer Nature

Topic

  • Subatomic Physics

Keywords

  • ATLAS detectors
  • Boosted decision trees
  • Decay products
  • Identification algorithms
  • Lepton pairs
  • Performance
  • QCD jets
  • Reconstruction algorithms
  • Single object
  • Transverse momenta
  • Colliding beam accelerators

Status

Published

ISBN/ISSN/Other

  • ISSN: 1434-6044