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

Forskningsoutput: Tidskriftsbidrag › Artikel › Vetenskaplig › Peer review

Sammanfattning

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.

Originalspråk	engelska
Artikelnummer	P02031
Tidskrift	Journal of Instrumentation
Volym	19
Nummer	2
Antal sidor	43
ISSN	1748-0221
DOI	https://doi.org/10.1088/1748-0221/19/02/P02031
Status	Publicerad - feb. 2024
MoE-publikationstyp	A1 Tidskriftsartikel-refererad

Vetenskapsgrenar

114 Fysik

Åtkomst av dokument

10.1088/1748-0221/19/02/P02031Licens: CC BY

Hayrapetyan_2024_J._Inst._19_P02031Slutlig publicerad version, 2,08 MBLicens: CC BY

Citera det här

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), Artikel P02031. https://doi.org/10.1088/1748-0221/19/02/P02031

@article{55f7ca971e954d088fc6abf3b7d37c6e,

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",

year = "2024",

month = feb,

doi = "10.1088/1748-0221/19/02/P02031",

language = "English",

volume = "19",

journal = "Journal of Instrumentation",

issn = "1748-0221",

publisher = "Institute of physics",

number = "2",

}

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, nr. 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 -