@Article{ATLASCollaborationAad_etal2021,
author="ATLAS Collaboration (Aad, G. et al
and Aparisi Pozo, J. A.
and Bailey, A. J.
and Cabrera Urban, S.
and Cardillo, F.
and Castillo, F. L.
and Castillo Gimenez, V.
and Costa, M. J.
and Didenko, M.
and Escobar, C.
and Estrada Pastor, O.
and Ferrer, A.
and Fiorini, L.
and Fullana Torregrosa, E.
and Fuster, J.
and Garcia, C.
and Garcia Navarro, J. E.
and Gonzalez de la Hoz, S.
and Gonzalvo Rodriguez, G. R.
and Guerrero Rojas, J. G. R.
and Higon-Rodriguez, E.
and Lacasta, C.
and Lozano Bahilo, J. J.
and Mamuzic, J.
and Marti-Garcia, S.
and Martinez Agullo, P.
and Miralles Lopez, M.
and Mitsou, V. A.
and Moreno Llacer, M.
and Navarro-Gonzalez, J.
and Poveda, J.
and Prades Iba{\~{n}}ez, A.
and Ruiz-Martinez, A.
and Sabatini, P.
and Salt, J.
and Sanchez Sebastian, V.
and Sayago Galvan, I.
and Soldevila, U.
and Sanchez, J.
and Torro Pastor, E.
and Valero, A.
and Valls Ferrer, J. A.
and Villaplana Perez, M.
and Vos, M.",
title="Search for R-parity-violating supersymmetry in a final state containing leptons and many jets with the ATLAS experiment using root s=13 TeV proton-proton collision data",
journal="European Physical Journal C",
year="2021",
publisher="Springer",
volume="81",
number="11",
pages="1023--39pp",
abstract="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 b-tagged jets is presented. The search uses 139 fb(-1) of root s = 13 TeV proton-proton collision data collected by the ATLAS 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, top-squark 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 top-squark mass, and 320 (365) GeV in higgsino (wino) mass.",
optnote="WOS:000721883100002",
optnote="exported from refbase (https://references.ific.uv.es/refbase/show.php?record=5034), last updated on Tue, 07 Dec 2021 11:47:13 +0000",
issn="1434-6044",
doi="10.1140/epjc/s10052-021-09761-x",
opturl="https://arxiv.org/abs/2106.09609",
opturl="https://doi.org/10.1140/epjc/s10052-021-09761-x",
language="English"
}