Measurement of the transverse momentum distribution of Drell–Yan lepton pairs in proton–proton collisions at √s=13 TeV with the ATLAS detector

This paper describes precision measurements of the transverse momentum pℓℓT (ℓ=e,μ) and of the angular variable ϕ∗η distributions of Drell–Yan lepton pairs in a mass range of 66–116 GeV. The analysis uses data from 36.1 fb−1 of proton–proton collisions at a centre-of-mass energy of s√=13TeV collecte...

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Detalles Bibliográficos
Autores: Alonso, Francisco, Arduh, Francisco Anuar, Dova, María Teresa, Hoya, Joaquín, Monticelli, Fernando Gabriel, Orellana, Gonzalo Enrique, Wahlberg, Hernán Pablo, The ATLAS Collaboration
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:Argentina
Institución:Universidad Nacional de La Plata
Repositorio:SEDICI (UNLP)
Idioma:inglés
OAI Identifier:oai:sedici.unlp.edu.ar:10915/124598
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/124598
Access Level:acceso abierto
Palabra clave:Física
Particle physics
Antimatter
Physics
Lepton
Antiparticle
Muon
Atlas (anatomy)
Drell–yan process
Pair production
Proton
Descripción
Sumario:This paper describes precision measurements of the transverse momentum pℓℓT (ℓ=e,μ) and of the angular variable ϕ∗η distributions of Drell–Yan lepton pairs in a mass range of 66–116 GeV. The analysis uses data from 36.1 fb−1 of proton–proton collisions at a centre-of-mass energy of s√=13TeV collected by the ATLAS experiment at the LHC in 2015 and 2016. Measurements in electron-pair and muon-pair final states are performed in the same fiducial volumes, corrected for detector effects, and combined. Compared to previous measurements in proton–proton collisions at s√=7 and 8TeV, these new measurements probe perturbative QCD at a higher centre-of-mass energy with a different composition of initial states. They reach a precision of 0.2% for the normalized spectra at low values of pℓℓT. The data are compared with different QCD predictions, where it is found that predictions based on resummation approaches can describe the full spectrum within uncertainties.