Muon identification using multivariate techniques in the CMS experiment in proton-proton collisions at √𝒔 = 13 TeV

The CMS Collaboration; A. Hayrapetyan; A. Tumasyan; W. Adam; Laurent Forthomme; H. Kirschenmann; K. Österberg; M. Voutilainen; Shudhashil Bharthuar; Erik Brücken; F. Garcia; J. Havukainen; Jaana Heikkilä; Kimmo Kallonen; Minsuk Kim; R. Kinnunen; T. Lampén; K. Lassila-Perini; S. Laurila; S. Lehti; T. Lindén; Mikko Lotti; P. Luukka; Laura Martikainen; Mikael Erkki Johannes Myllymäki; Milla-Maarit Rantanen; H. Siikonen; E. Tuominen; J. Tuominiemi; Jussi Viinikainen; H. Petrow; T. Tuuva

doi:10.1088/1748-0221/19/02/P02031

Muon identification using multivariate techniques in the CMS experiment in proton-proton collisions at √𝒔 = 13 TeV

The CMS Collaboration, A. Hayrapetyan, A. Tumasyan, W. Adam, Laurent Forthomme, H. Kirschenmann, K. Österberg, M. Voutilainen, Shudhashil Bharthuar, Erik Brücken, F. Garcia, J. Havukainen, Jaana Heikkilä, Kimmo Kallonen, Minsuk Kim, R. Kinnunen, T. Lampén, K. Lassila-Perini, S. Laurila, S. LehtiT. Lindén, Mikko Lotti, P. Luukka, Laura Martikainen, Mikael Erkki Johannes Myllymäki, Milla-Maarit Rantanen, H. Siikonen, E. Tuominen, J. Tuominiemi, Jussi Viinikainen, H. Petrow, T. Tuuva

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

Abstract

The identification of prompt and isolated muons, as well as muons from heavy -flavour hadron decays, is an important task. We developed two multivariate techniques to provide highly efficient identification for muons with transverse momentum greater than 10 GeV. One provides a continuous variable as an alternative to a cut -based identification selection and offers a better discrimination power against misidentified muons. The other one selects prompt and isolated muons by using isolation requirements to reduce the contamination from nonprompt muons arising in heavy-flavour hadron decays. Both algorithms are developed using 59.7 fb-1 of proton-proton collisions data at a centre-of-mass energy of root s = 13 TeV collected in 2018 with the CMS experiment at the CERN LHC.

Original language	English
Article number	P02031
Journal	Journal of Instrumentation
Volume	19
Issue number	2
Number of pages	43
ISSN	1748-0221
DOIs	https://doi.org/10.1088/1748-0221/19/02/P02031
Publication status	Published - Feb 2024
MoE publication type	A1 Journal article-refereed

Fields of Science

114 Physical sciences

Access to Document

10.1088/1748-0221/19/02/P02031Licence: CC BY

Hayrapetyan_2024_J._Inst._19_P02031Final published version, 2.08 MBLicence: CC BY

Cite this

The CMS Collaboration, Hayrapetyan, A., Tumasyan, A., Adam, W., Forthomme, L., Kirschenmann, H., Österberg, K., Voutilainen, M., Bharthuar, S., Brücken, E., Garcia, F., Havukainen, J., Heikkilä, J., Kallonen, K., Kim, M., Kinnunen, R., Lampén, T., Lassila-Perini, K., Laurila, S., ... Tuuva, T. (2024). Muon identification using multivariate techniques in the CMS experiment in proton-proton collisions at √𝒔 = 13 TeV. Journal of Instrumentation, 19(2), Article P02031. https://doi.org/10.1088/1748-0221/19/02/P02031

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title = "Muon identification using multivariate techniques in the CMS experiment in proton-proton collisions at √𝒔 = 13 TeV",

abstract = "The identification of prompt and isolated muons, as well as muons from heavy -flavour hadron decays, is an important task. We developed two multivariate techniques to provide highly efficient identification for muons with transverse momentum greater than 10 GeV. One provides a continuous variable as an alternative to a cut -based identification selection and offers a better discrimination power against misidentified muons. The other one selects prompt and isolated muons by using isolation requirements to reduce the contamination from nonprompt muons arising in heavy-flavour hadron decays. Both algorithms are developed using 59.7 fb-1 of proton-proton collisions data at a centre-of-mass energy of root s = 13 TeV collected in 2018 with the CMS experiment at the CERN LHC.",

keywords = "114 Physical sciences",

author = "{The CMS Collaboration} and A. Hayrapetyan and A. Tumasyan and W. Adam and Laurent Forthomme and H. Kirschenmann and K. {\"O}sterberg and M. Voutilainen and Shudhashil Bharthuar and Erik Br{\"u}cken and F. Garcia and J. Havukainen and Jaana Heikkil{\"a} and Kimmo Kallonen and Minsuk Kim and R. Kinnunen and T. Lamp{\'e}n and K. Lassila-Perini and S. Laurila and S. Lehti and T. Lind{\'e}n and Mikko Lotti and P. Luukka and Laura Martikainen and Myllym{\"a}ki, {Mikael Erkki Johannes} and Milla-Maarit Rantanen and H. Siikonen and E. Tuominen and J. Tuominiemi and Jussi Viinikainen and H. Petrow and T. Tuuva",

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language = "English",

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The CMS Collaboration, Hayrapetyan, A, Tumasyan, A, Adam, W, Forthomme, L, Kirschenmann, H , Österberg, K , Voutilainen, M, Bharthuar, S, Brücken, E , Garcia, F, Havukainen, J, Heikkilä, J, Kallonen, K, Kim, M, Kinnunen, R , Lampén, T , Lassila-Perini, K , Laurila, S , Lehti, S , Lindén, T, Lotti, M, Luukka, P, Martikainen, L, Myllymäki, MEJ , Rantanen, M-M, Siikonen, H, Tuominen, E , Tuominiemi, J, Viinikainen, J, Petrow, H & Tuuva, T 2024, 'Muon identification using multivariate techniques in the CMS experiment in proton-proton collisions at √𝒔 = 13 TeV', Journal of Instrumentation, vol. 19, no. 2, P02031. https://doi.org/10.1088/1748-0221/19/02/P02031

TY - JOUR

T1 - Muon identification using multivariate techniques in the CMS experiment in proton-proton collisions at √𝒔 = 13 TeV

AU - The CMS Collaboration

AU - Hayrapetyan, A.

AU - Tumasyan, A.

AU - Adam, W.

AU - Forthomme, Laurent

AU - Kirschenmann, H.

AU - Österberg, K.

AU - Voutilainen, M.

AU - Bharthuar, Shudhashil

AU - Brücken, Erik

AU - Garcia, F.

AU - Havukainen, J.

AU - Heikkilä, Jaana

AU - Kallonen, Kimmo

AU - Kim, Minsuk

AU - Kinnunen, R.

AU - Lampén, T.

AU - Lassila-Perini, K.

AU - Laurila, S.

AU - Lehti, S.

AU - Lindén, T.

AU - Lotti, Mikko

AU - Luukka, P.

AU - Martikainen, Laura

AU - Myllymäki, Mikael Erkki Johannes

AU - Rantanen, Milla-Maarit

AU - Siikonen, H.

AU - Tuominen, E.

AU - Tuominiemi, J.

AU - Viinikainen, Jussi

AU - Petrow, H.

AU - Tuuva, T.

PY - 2024/2

Y1 - 2024/2

N2 - The identification of prompt and isolated muons, as well as muons from heavy -flavour hadron decays, is an important task. We developed two multivariate techniques to provide highly efficient identification for muons with transverse momentum greater than 10 GeV. One provides a continuous variable as an alternative to a cut -based identification selection and offers a better discrimination power against misidentified muons. The other one selects prompt and isolated muons by using isolation requirements to reduce the contamination from nonprompt muons arising in heavy-flavour hadron decays. Both algorithms are developed using 59.7 fb-1 of proton-proton collisions data at a centre-of-mass energy of root s = 13 TeV collected in 2018 with the CMS experiment at the CERN LHC.

AB - The identification of prompt and isolated muons, as well as muons from heavy -flavour hadron decays, is an important task. We developed two multivariate techniques to provide highly efficient identification for muons with transverse momentum greater than 10 GeV. One provides a continuous variable as an alternative to a cut -based identification selection and offers a better discrimination power against misidentified muons. The other one selects prompt and isolated muons by using isolation requirements to reduce the contamination from nonprompt muons arising in heavy-flavour hadron decays. Both algorithms are developed using 59.7 fb-1 of proton-proton collisions data at a centre-of-mass energy of root s = 13 TeV collected in 2018 with the CMS experiment at the CERN LHC.

KW - 114 Physical sciences

U2 - 10.1088/1748-0221/19/02/P02031

DO - 10.1088/1748-0221/19/02/P02031

M3 - Article

SN - 1748-0221

VL - 19

JO - Journal of Instrumentation

JF - Journal of Instrumentation

IS - 2

M1 - P02031

ER -