Utilize este identificador para referenciar este registo: https://hdl.handle.net/10316/103918
Título: Search for R-parity-violating supersymmetry in a final state containing leptons and many jets with the ATLAS experiment using √ s = 13 TeV proton–proton collision data
Autor: Fiolhais, M. C. N. 
Gonçalo, R. 
Veloso, F. 
Wolters, H. 
ATLAS Collaboration
Data: Nov-2021
Editora: Springer Nature
Título da revista, periódico, livro ou evento: European Physical Journal C
Volume: 81
Número: 11
Resumo: A search for R-parity-violating supersymmetry in final states characterized by high jet multiplicity, at least one isolated light lepton and either zero or at least three btagged jets is presented. The search uses 139 fb−1 of √ s = 13 TeVproton–proton collision data collected by theATLAS experiment during Run 2 of the Large Hadron Collider. The results are interpreted in the context of R-parity-violating supersymmetry models that feature gluino production, topsquark production, or electroweakino production. The dominant sources of background are estimated using a data-driven model, based on observables at medium jet multiplicity, to predict the b-tagged jet multiplicity distribution at the higher jet multiplicities used in the search. Machine-learning techniques are used to reach sensitivity to electroweakino production, extending the data-driven background estimation to the shape of the machine-learning discriminant. No significant excess over the Standard Model expectation is observed and exclusion limits at the 95% confidence level are extracted, reaching as high as 2.4 TeV in gluino mass, 1.35 TeV in topsquark mass, and 320 (365) GeV in higgsino (wino) mass.
URI: https://hdl.handle.net/10316/103918
DOI: 10.1140/epjc/s10052-021-09761-x
Direitos: openAccess
Aparece nas coleções:FCTUC Física - Artigos em Revistas Internacionais

Mostrar registo em formato completo

Citações WEB OF SCIENCETM

5
Visto em 2/mai/2023

Visualizações de página

73
Visto em 22/mai/2024

Downloads

34
Visto em 22/mai/2024

Google ScholarTM

Verificar

Altmetric

Altmetric


Este registo está protegido por Licença Creative Commons Creative Commons