@Article{ATLASCollaborationAad_etal2023,
author="ATLAS Collaboration (Aad, G. et al
and Amos, K. R.
and Aparisi Pozo, J. A.
and Bailey, A. J.
and Bouchhar, N.
and Cabrera Urban, S.
and Cantero, J.
and Cardillo, F.
and Castillo Gimenez, V.
and Costa, M. J.
and Didenko
and Escobar, C.
and Fiorini, L.
and Fullana Torregrosa, E.
and Fuster, J.
and Garcia, C.
and Garcia Navarro, J. E.
and Gomez Delegido, A. J.
and Gonzalez de la Hoz, S.
and Gonzalvo Rodriguez, G. R.
and Guerrero Rojas, J. G. R.
and Higon-Rodriguez, E.
and Lacasta, C.
and Lozano Bahilo, J. J.
and Marti-Garcia, S.
and Martinez Agullo, P.
and Miralles Lopez, M.
and Mitsou, V. A.
and Monsonis Romero, L.
and Moreno Llacer, M.
and Munoz Perez, D.
and Navarro-Gonzalez, J.
and Poveda, J.
and Prades Iba{\~{n}}ez, A.
and Rubio Jimenez, A.
and Ruiz-Martinez, A.
and Sabatini, P.
and Salt, J.
and Sanchez Sebastian, V.
and Sayago Galvan, I.
and Senthilkumar, V.
and Soldevila, U.
and Sanchez, J.
and Torro Pastor, E.
and Valero, A.
and Valls Ferrer, J. A.
and Varriale, L.
and Villaplana Perez, M.
and Vos, M.",
title="Tools for estimating fake/non-prompt lepton backgrounds with the ATLAS detector at the LHC",
journal="Journal of Instrumentation",
year="2023",
publisher="IOP Publishing Ltd",
volume="18",
number="11",
pages="T11004 - 61pp",
optkeywords="Analysis and statistical methods; Particle identification methods",
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 {\textquoteright}fake/non-prompt{\textquoteright} 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.",
optnote="WOS:001116977400001",
optnote="exported from refbase (https://references.ific.uv.es/refbase/show.php?record=5884), last updated on Sat, 27 Jan 2024 14:27:29 +0000",
issn="1748-0221",
doi="10.1088/1748-0221/18/11/T11004",
opturl="https://arxiv.org/abs/2211.16178",
opturl="https://doi.org/10.1088/1748-0221/18/11/T11004",
language="English"
}