Abstract
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.
| Original language | English |
|---|---|
| Article number | T11004 |
| Journal | Journal of Instrumentation |
| Volume | 18 |
| Issue number | 11 |
| DOIs | |
| State | Published - 1 Nov 2023 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2023 CERN for the benefit of the ATLAS collaboration. Published by IOP Publishing Ltd on behalf of Sissa Medialab. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Keywords
- Analysis and statistical methods
- Particle identification methods
ASJC Scopus subject areas
- Mathematical Physics
- Instrumentation