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.

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

M Centonze
Membro del Collaboration Group
;
G Chiodini
Membro del Collaboration Group
;
E Gorini
Membro del Collaboration Group
;
S Grancagnolo
Membro del Collaboration Group
;
FG Gravili
Membro del Collaboration Group
;
M Greco
Membro del Collaboration Group
;
A Palazzo
Membro del Collaboration Group
;
M Primavera
Membro del Collaboration Group
;
S Spagnolo
Membro del Collaboration Group
;
A Ventura
Membro del Collaboration Group
;
2023-01-01

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.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11587/507706
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