Angular analysis of the rare decay B0s → ϕμ+μ−; Journal of High Energy Physics; Vol. 2021, iss. 11

Angular analysis of the rare decay B0s → ϕμ+μ−; Journal of High Energy Physics; Vol. 2021, iss. 11

Detalles Bibliográficos
Parent link:Journal of High Energy Physics
Vol. 2021, iss. 11.— 2021.— [43, 44 p.]
Corporate Authors: Национальный исследовательский Томский политехнический университет Исследовательская школа физики высокоэнергетических процессов, Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники
Outros autores: Aaij R. Roel, Abdelmotteleb A. S., Eydelman S. I. Semen Isaakovich, Kharisova A. E. Anastasiya Evgenjevna, Panshin G. L. Gennady Leonidovich
Summary:Title screen
An angular analysis of the rare decay B0s → ϕμ+μ− is presented, using proton-proton collision data collected by the LHCb experiment at centre-of-mass energies of 7, 8 and 13 TeV, corresponding to an integrated luminosity of 8.4 fb−1. The observables describing the angular distributions of the decay B0s → ϕμ+μ− are determined in regions of q2, the square of the dimuon invariant mass. The results are consistent with Standard Model predictions.
Idioma:inglés
Publicado: 2021
Subjects:
электронный ресурс
труды учёных ТПУ
B physics
FCNC Interaction
Hadron-Hadron scattering (experiments)
Flavor physics
Rare decay
Acceso en liña:http://earchive.tpu.ru/handle/11683/72493
https://doi.org/10.1007/JHEP11(2021)043
Formato: Electrónico Capítulo de libro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=666699
Descripción
Summary:Title screen
An angular analysis of the rare decay B0s → ϕμ+μ− is presented, using proton-proton collision data collected by the LHCb experiment at centre-of-mass energies of 7, 8 and 13 TeV, corresponding to an integrated luminosity of 8.4 fb−1. The observables describing the angular distributions of the decay B0s → ϕμ+μ− are determined in regions of q2, the square of the dimuon invariant mass. The results are consistent with Standard Model predictions.
DOI:10.1007/JHEP11(2021)043

Títulos similares