TY  - JOUR
AU  - ATLAS Collaboration (Aad, G. et al
AU  - Aparisi Pozo, J. A.
AU  - Bailey, A. J.
AU  - Cabrera Urban, S.
AU  - Cardillo, F.
AU  - Castillo, F. L.
AU  - Castillo Gimenez, V.
AU  - Costa, M. J.
AU  - Didenko, M.
AU  - Escobar, C.
AU  - Estrada Pastor, O.
AU  - Ferrer, A.
AU  - Fiorini, L.
AU  - Fullana Torregrosa, E.
AU  - Fuster, J.
AU  - Garcia, C.
AU  - Garcia Navarro, J. E.
AU  - Gonzalez de la Hoz, S.
AU  - Gonzalvo Rodriguez, G. R.
AU  - Guerrero Rojas, J. G. R.
AU  - Higon-Rodriguez, E.
AU  - Lacasta, C.
AU  - Lozano Bahilo, J. J.
AU  - Mamuzic, J.
AU  - Marti-Garcia, S.
AU  - Martinez Agullo, P.
AU  - Miralles Lopez, M.
AU  - Mitsou, V. A.
AU  - Moreno Llacer, M.
AU  - Navarro-Gonzalez, J.
AU  - Poveda, J.
AU  - Prades Ibañez, A.
AU  - Ruiz-Martinez, A.
AU  - Sabatini, P.
AU  - Salt, J.
AU  - Sanchez Sebastian, V.
AU  - Sayago Galvan, I.
AU  - Soldevila, U.
AU  - Sanchez, J.
AU  - Torro Pastor, E.
AU  - Valero, A.
AU  - Valls Ferrer, J. A.
AU  - Villaplana Perez, M.
AU  - Vos, M.
PY  - 2021
DA  - 2021//
TI  - 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
T2  - Eur. Phys. J. C
JO  - European Physical Journal C
SP  - 1023
EP  - 39pp
VL  - 81
IS  - 11
PB  - Springer
AB  - 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.
SN  - 1434-6044
UR  - https://arxiv.org/abs/2106.09609
UR  - https://doi.org/10.1140/epjc/s10052-021-09761-x
DO  - 10.1140/epjc/s10052-021-09761-x
LA  - English
N1  - WOS:000721883100002
ID  - ATLASCollaborationAad_etal2021
ER  -