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

The ATLAS collaboration

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

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

The ATLAS collaboration

Aix-Marseille Université
University of Oklahoma
University of Göttingen
TU Dortmund University
United States Department of Energy
Mohammed V University in Rabat
Tel Aviv University
Technion-Israel Institute of Technology
New York University
National Institute for Nuclear Physics
Abdus Salam International Centre for Theoretical Physics
King's College London
Université Savoie Mont Blanc
AGH University of Krakow
Brandeis University
University of Manchester
Northern Illinois University
Istanbul University
Rutherford Appleton Laboratory
University of California at Santa Cruz
CERN
Institute for High Energy Physics
University of Pavia
Johannes Gutenberg University Mainz
Alexandru Ioan Cuza University of Iaşi
Azerbaijan National Academy of Sciences
McGill University
Royal Holloway University of London
University of Science and Technology of China
University of Rome Tor Vergata
University of Valencia
University of Hassan II Casablanca
Weizmann Institute of Science
Lund University
Waseda University
University of Bonn
Columbia University
University of Victoria BC
Université Grenoble Alpes

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

34 Scopus citations

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	https://doi.org/10.1088/1748-0221/18/11/T11004
State	Published - Nov 1 2023

Keywords

Analysis and statistical methods
Particle identification methods

Access to Document

10.1088/1748-0221/18/11/T11004

Cite this

@article{35591ffe15ff40acbd049e6c49b21c5f,

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 '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.",

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

author = "\{The ATLAS collaboration\} and G. Aad and B. Abbott and K. Abeling and Abicht, \{N. J.\} and Abidi, \{S. H.\} and A. Aboulhorma and H. Abramowicz and H. Abreu and Y. Abulaiti and Acharya, \{B. S.\} and \{Adam Bourdarios\}, C. and L. Adamczyk and Addepalli, \{S. V.\} and Addison, \{M. J.\} and J. Adelman and A. Adiguzel and T. Adye and Affolder, \{A. A.\} and Y. Afik and Agaras, \{M. N.\} and J. Agarwala and A. Aggarwal and C. Agheorghiesei and A. Ahmad and F. Ahmadov and Ahmed, \{W. S.\} and S. Ahuja and X. Ai and G. Aielli and A. Aikot and \{Ait Tamlihat\}, M. and B. Aitbenchikh and I. Aizenberg and M. Akbiyik and {\AA}kesson, \{T. P.A.\} and Akimov, \{A. V.\} and D. Akiyama and Akolkar, \{N. N.\} and \{Al Khoury\}, K. and Alberghi, \{G. L.\} and J. Albert and P. Albicocco and Albouy, \{G. L.\} and H. Arnold and \{Da Via\}, C. and V. Dao and J. Hobbs and J. Jia and G. Piacquadio and D. Tsybychev",

note = "Publisher Copyright: {\textcopyright} 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.",

year = "2023",

month = nov,

day = "1",

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

language = "English",

volume = "18",

journal = "Journal of Instrumentation",

issn = "1748-0221",

number = "11",

}

TY - JOUR

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

AU - The ATLAS collaboration

AU - Aad, G.

AU - Abbott, B.

AU - Abeling, K.

AU - Abicht, N. J.

AU - Abidi, S. H.

AU - Aboulhorma, A.

AU - Abramowicz, H.

AU - Abreu, H.

AU - Abulaiti, Y.

AU - Acharya, B. S.

AU - Adam Bourdarios, C.

AU - Adamczyk, L.

AU - Addepalli, S. V.

AU - Addison, M. J.

AU - Adelman, J.

AU - Adiguzel, A.

AU - Adye, T.

AU - Affolder, A. A.

AU - Afik, Y.

AU - Agaras, M. N.

AU - Agarwala, J.

AU - Aggarwal, A.

AU - Agheorghiesei, C.

AU - Ahmad, A.

AU - Ahmadov, F.

AU - Ahmed, W. S.

AU - Ahuja, S.

AU - Ai, X.

AU - Aielli, G.

AU - Aikot, A.

AU - Ait Tamlihat, M.

AU - Aitbenchikh, B.

AU - Aizenberg, I.

AU - Akbiyik, M.

AU - Åkesson, T. P.A.

AU - Akimov, A. V.

AU - Akiyama, D.

AU - Akolkar, N. N.

AU - Al Khoury, K.

AU - Alberghi, G. L.

AU - Albert, J.

AU - Albicocco, P.

AU - Albouy, G. L.

AU - Arnold, H.

AU - Da Via, C.

AU - Dao, V.

AU - Hobbs, J.

AU - Jia, J.

AU - Piacquadio, G.

AU - Tsybychev, D.

N1 - 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.

PY - 2023/11/1

Y1 - 2023/11/1

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

UR - https://www.scopus.com/pages/publications/85180761391

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

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

M3 - Article

AN - SCOPUS:85180761391

SN - 1748-0221

VL - 18

JO - Journal of Instrumentation

JF - Journal of Instrumentation

IS - 11

M1 - T11004

ER -

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

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this