Tools for estimating fake/non-prompt lepton backgrounds with the ATLAS detector at the LHC


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Aad G., Abbott B., Abeling K., Abicht N., Abidi S., Aboulhorma A., ...Daha Fazla

JOURNAL OF INSTRUMENTATION, cilt.18, sa.11, 2023 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 18 Sayı: 11
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1088/1748-0221/18/11/t11004
  • Dergi Adı: JOURNAL OF INSTRUMENTATION
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, Index Islamicus, INSPEC
  • Anahtar Kelimeler: Analysis and statistical methods, Particle identification methods
  • Ankara Üniversitesi Adresli: Evet

Özet

Measurements and searches performed with the ATLAS detector at the CERN LHC often involve signatures with one or more prompt leptons. Such analyses are subject to 'fake/non-prompt' lepton backgrounds, where either a hadron or a lepton from a hadron decay or an electron from a photon conversion satisfies the prompt-lepton selection criteria. These backgrounds often arise within a hadronic jet because of particle decays in the showering process, particle misidentification or particle interactions with the detector material. As it is challenging to model these processes with high accuracy in simulation, their estimation typically uses data-driven methods. Three methods for carrying out this estimation are described, along with their implementation in ATLAS and their performance.