Szczegóły publikacji
Opis bibliograficzny
Muon identification using multivariate techniques in the CMS experiment in proton-proton collisions at $\sqrt{s}$ = 13 TeV / A. Hayrapetyan, [et al.], V. AVATI, L. GRZANKA, M. MALAWSKI, [et al.] // Journal of Instrumentation [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 1748-0221. — 2024 — vol. 19 no. 2 art. no. P02031, s. [1], 1–42. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 19–21, Abstr. — Publikacja dostępna online od: 2024-02-23
Autorzy (2371)
- AGHAvati Valentina
- AGHGrzanka Leszek
- AGHMalawski Maciej
- Hayrapetyan Aram
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 152533 |
|---|---|
| Data dodania do BaDAP | 2024-04-22 |
| Tekst źródłowy | URL |
| DOI | 10.1088/1748-0221/19/02/P02031 |
| Rok publikacji | 2024 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Journal of Instrumentation |
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 √(s)=13 TeV collected in 2018 with the CMS experiment at the CERN LHC.