Search for R-parity-violating supersymmetry in a final state containing leptons and many jets with the ATLAS experiment using √s=13TeV proton–proton collision data
Authors
Camelia, EA
Amelung, C
Amrouche, CS
Andrei, V
Publication Date
2021Journal Title
European Physical Journal C
ISSN
1434-6044
Publisher
Springer Science and Business Media LLC
Volume
81
Issue
11
Language
en
Type
Article
This Version
VoR
Metadata
Show full item recordCitation
Aad, G., Abbott, B., Abbott, D., Abud, A., Abeling, K., Abhayasinghe, D., Abidi, S., et al. (2021). Search for R-parity-violating supersymmetry in a final state containing leptons and many jets with the ATLAS experiment using √s=13TeV proton–proton collision data. European Physical Journal C, 81 (11) https://doi.org/10.1140/epjc/s10052-021-09761-x
Abstract
A search for R-parity violating supersymmetry in final states characterised
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
$\sqrt{s} = 13$ 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.
Keywords
hep-ex, hep-ex
Identifiers
s10052-021-09761-x, 9761
External DOI: https://doi.org/10.1140/epjc/s10052-021-09761-x
This record's URL: https://www.repository.cam.ac.uk/handle/1810/332082
Rights
Licence:
http://creativecommons.org/licenses/by/4.0/
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.
Recommended or similar items
The current recommendation prototype on the Apollo Repository will be turned off on 03 February 2023. Although the pilot has been fruitful for both parties, the service provider IKVA is focusing on horizon scanning products and so the recommender service can no longer be supported. We recognise the importance of recommender services in supporting research discovery and are evaluating offerings from other service providers. If you would like to offer feedback on this decision please contact us on: support@repository.cam.ac.uk