Scientific article
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Search for third-generation vector-like leptons in pp collisions at \sqrt{s} = 13 TeV with the ATLAS detector

ContributorsATLAS Collaboration
Published inThe journal of high energy physics, vol. 2023, no. 7, 118
Publication date2023
First online date2023-07-13
Abstract

A search for vector-like leptons in multilepton (two, three, or four-or-more electrons plus muons) final states with zero or more hadronic τ-lepton decays is presented. The search is performed using a dataset corresponding to an integrated luminosity of 139 fb$^{−1}$ of proton-proton collisions at a centre-of-mass energy of 13 TeV recorded by the ATLAS detector at the LHC. To maximize the separation of signal and background, a machine-learning classifier is used. No excess of events is observed beyond the Standard Model expectation. Using a doublet vector-like lepton model, vector-like leptons coupling to third-generation Standard Model leptons are excluded in the mass range from 130 GeV to 900 GeV at the 95% confidence level, while the highest excluded mass is expected to be 970 GeV.

Keywords
  • Beyond Standard Model
  • Hadron-Hadron Scattering
  • Tau Physics
  • P p: colliding beams
  • Family: 3
  • Lepton: model
  • P p: scattering
  • Lepton: coupling
  • Lepton: vector particle
  • New particle
  • Tau: hadronic decay
  • Dilepton: final state
  • Final state: (3lepton)
  • Final state: (4lepton)
  • ATLAS
  • Muon
  • New physics: search for
  • Electron
  • Machine learning
  • CERN LHC Coll
  • Background
  • Doublet
  • Lepton: mass
  • Mass: lower limit
  • Neural network
  • Statistical analysis
  • Data analysis method
  • Experimental results
  • 13000 GeV-cms
Citation (ISO format)
ATLAS Collaboration. Search for third-generation vector-like leptons in pp collisions at \sqrt{s} = 13 TeV with the ATLAS detector. In: The journal of high energy physics, 2023, vol. 2023, n° 7, p. 118. doi: 10.1007/jhep07(2023)118
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Article (Published version)
Identifiers
Additional URL for this publicationhttps://link.springer.com/10.1007/JHEP07(2023)118
Journal ISSN1029-8479
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21downloads

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