Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/4933
Title: Search for supersymmetry in final states with a single electron or muon using angular correlations and heavy-object identification in proton-proton collisions at √s=13 TeV
Authors: Tumasyan, A.
Adam, W.
Andrejkovic, J. W.
Bergauer, T.
Chatterjee, S.
Damanakis, K.
Dragicevic, M.
Keywords: Hadron-Hadron Scattering
Supersymmetry
Pair Production
Hadron
Physics
Issue Date: 2023
Publisher: Springer
Abstract: A search for supersymmetry is presented in events with a single charged lepton, electron or muon, and multiple hadronic jets. The data correspond to an integrated luminosity of 138 fb(-1) of proton-proton collisions at a center-of-mass energy of 13TeV, recorded by the CMS experiment at the CERN LHC. The search targets gluino pair production, where the gluinos decay into final states with the lightest supersymmetric particle (LSP) and either a top quark-antiquark (t (t) over bar) pair, or a light-flavor quark-antiquark (q (q) over bar) pair and a virtual or on-shell W boson. The main backgrounds, t (t) over bar pair and W+jets production, are suppressed by requirements on the azimuthal angle between the momenta of the lepton and of its reconstructed parent W boson candidate, and by top quark and W boson identification based on a machine-learning technique. The number of observed events is consistent with the expectations from standard model processes. Limits are evaluated on supersymmetric particle masses in the context of two simplified models of gluino pair production. Exclusions for gluino masses reach up to 2120 (2050) GeV at 95% confidence level for a model with gluino decay to a t (t) over bar pair (a q (q) over bar pair and a W boson) and the LSP. For the same models, limits on the mass of the LSP reach up to 1250 (1070) GeV.
URI: https://doi.org/10.1007/JHEP09(2023)149
https://hdl.handle.net/20.500.13091/4933
ISSN: 1029-8479
Appears in Collections:WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections

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