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

ATLAS Publications; T.M. Carter; R.Y. Gonzalez Andana; A. Hasib; M.P. Heath; V.A. Parrish; E.A. Pender; E.P. Takeva; N. Themistokleous; E.M. Villhauer; E. Zaid

doi:10.1088/1748-0221/18/11/T11004

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

ATLAS Publications, T.M. Carter, R.Y. Gonzalez Andana, A. Hasib, M.P. Heath, V.A. Parrish, E.A. Pender, E.P. Takeva, N. Themistokleous, E.M. Villhauer, E. Zaid

School of Physics and Astronomy

Research output: Contribution to journal › Article › peer-review

Abstract / Description of output

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
Pages (from-to)	1-58
Number of pages	58
Journal	Journal of Instrumentation
Volume	18
Issue number	11
DOIs	https://doi.org/10.1088/1748-0221/18/11/T11004
Publication status	Published - 30 Nov 2023

Keywords / Materials (for Non-textual outputs)

Analysis and statistical methods
Particle identification methods

Access to Document

10.1088/1748-0221/18/11/T11004Licence: Creative Commons: Attribution (CC-BY)

http://arxiv.org/abs/2211.16178

3 Finished
3 Active

Upgrade of the ATLAS detector at the LHC (2023-26)
Clark, P.
1/04/23 → 31/03/26
Project: Research
Experimental Particle Physics at the University of Edinburgh
Leonidopoulos, C.
1/04/23 → 30/09/25
Project: Research
Experimental Particle Physics at the University of Edinburgh
Leonidopoulos, C.
1/10/22 → 30/09/25
Project: Research

Cite this

ATLAS Publications, Carter, T. M., Gonzalez Andana, R. Y., Hasib, A., Heath, M. P., Parrish, V. A., Pender, E. A., Takeva, E. P., Themistokleous, N., Villhauer, E. M., & Zaid, E. (2023). Tools for estimating fake/non-prompt lepton backgrounds with the ATLAS detector at the LHC. Journal of Instrumentation, 18(11), 1-58. Article T11004. https://doi.org/10.1088/1748-0221/18/11/T11004

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

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 {\textquoteleft}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.",

keywords = "Analysis and statistical methods, Particle identification methods",

author = "{ATLAS Publications} and Clark, {Philip James} and Sinead Farrington and Yanyan Gao and Christos Leonidopoulos and Martin, {Victoria Jane} and Liza Mijovic and Benjamin Wynne and Sara Alderweireldt and T.M. Carter and {Gonzalez Andana}, R.Y. and A. Hasib and M.P. Heath and V.A. Parrish and E.A. Pender and E.P. Takeva and N. Themistokleous and E.M. Villhauer and E. Zaid",

year = "2023",

month = nov,

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doi = "10.1088/1748-0221/18/11/T11004",

language = "English",

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T1 - Tools for estimating fake/non-prompt lepton backgrounds with the ATLAS detector at the LHC

AU - ATLAS Publications

AU - Clark, Philip James

AU - Farrington, Sinead

AU - Gao, Yanyan

AU - Leonidopoulos, Christos

AU - Martin, Victoria Jane

AU - Mijovic, Liza

AU - Wynne, Benjamin

AU - Alderweireldt, Sara

AU - Carter, T.M.

AU - Gonzalez Andana, R.Y.

AU - Hasib, A.

AU - Heath, M.P.

AU - Parrish, V.A.

AU - Pender, E.A.

AU - Takeva, E.P.

AU - Themistokleous, N.

AU - Villhauer, E.M.

AU - Zaid, E.

PY - 2023/11/30

Y1 - 2023/11/30

N2 - 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.

AB - 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.

KW - Analysis and statistical methods

KW - Particle identification methods

U2 - 10.1088/1748-0221/18/11/T11004

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EP - 58

JO - Journal of Instrumentation

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M1 - T11004

ER -

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

Abstract / Description of output

Keywords / Materials (for Non-textual outputs)

Access to Document

Fingerprint

Projects

Upgrade of the ATLAS detector at the LHC (2023-26)

Experimental Particle Physics at the University of Edinburgh

Experimental Particle Physics at the University of Edinburgh

Cite this