par Hayrapetyan, A.;Clerbaux, Barbara 
;De Lentdecker, Gilles ;Favart, Laurent ;Hohov, Dmytro ;Jaramillo Gallego, Johny ;Khalilzadeh, Ali ;Lee, Kyeongpil ;Mahdavikhorrami, Mostafa ;Malara, Andrea ;Paredes Saenz, Santiago ;Pétré, Laurent ;Postiau, Nicolas ;Thomas, Laurent ;Vanden Bemden, Max ;Vander Velde, Catherine ;Vanlaer, Pascal ; [et al.]
Référence Journal of Instrumentation, 19, 2, P02031
Publication Publié, 2024-02-01
;De Lentdecker, Gilles ;Favart, Laurent ;Hohov, Dmytro ;Jaramillo Gallego, Johny ;Khalilzadeh, Ali ;Lee, Kyeongpil ;Mahdavikhorrami, Mostafa ;Malara, Andrea ;Paredes Saenz, Santiago ;Pétré, Laurent ;Postiau, Nicolas ;Thomas, Laurent ;Vanden Bemden, Max ;Vander Velde, Catherine ;Vanlaer, Pascal ; [et al.]Référence Journal of Instrumentation, 19, 2, P02031
Publication Publié, 2024-02-01
Article révisé par les pairs
| Résumé : | 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 |
