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
Metadatos
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Springer
Date
2021-11-23Referencia bibliográfica
Aad, G... [et al.]. 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. Eur. Phys. J. C 81, 1023 (2021). [https://doi.org/10.1140/epjc/s10052-021-09761-x]
Patrocinador
ANPCyT; YerPhI, Armenia; Australian Research Council; BMWFW, Austria; Azerbaijan National Academy of Sciences (ANAS); SSTC, Belarus; Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ) Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP); Natural Sciences and Engineering Research Council of Canada (NSERC) Canada Foundation for Innovation NRC, Canada; Austrian Science Fund (FWF); CERN; ANID, Chile; Chinese Academy of Sciences Ministry of Science and Technology, China National Natural Science Foundation of China (NSFC); Minciencias, Colombia; Ministry of Education, Youth & Sports - Czech Republic Czech Republic Government; DNRF, Denmark Danish Natural Science Research Council; Centre National de la Recherche Scientifique (CNRS) CEA-DRF/IRFU, France; SRNSFG, Georgia; Federal Ministry of Education & Research (BMBF); HGF, Germany Max Planck Society; Greek Ministry of Development-GSRT; RGC, China HongKong SAR, China; Israel Science Foundation Benoziyo Center, Israel; Istituto Nazionale di Fisica Nucleare (INFN); Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT) Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT) Japan Society for the Promotion of Science; CNRST, Morocco; Netherlands Organization for Scientific Research (NWO) Netherlands Government; RCN, Norway; Ministry of Science and Higher Education, Poland NCN, Poland; Portuguese Foundation for Science and Technology European Commission; MNE/IFA, Romania; JINR; Russian Federation NRC KI, Russian Federation; Ministry of Education, Science & Technological Development, Serbia; MSSR, Slovakia; Slovenian Research Agency - Slovenia MIZS, Slovenia; DST/NRF, South Africa; Spanish Government; SRC, Sweden Wallenberg Foundation, Sweden; SERI, Switzerland Swiss National Science Foundation (SNSF) Canton of Bern, Switzerland Canton of Geneva, Switzerland; Ministry of Science and Technology, Taiwan; Ministry of Energy & Natural Resources - Turkey; UK Research & Innovation (UKRI); Science & Technology Facilities Council (STFC); United States Department of Energy (DOE); National Science Foundation (NSF); BCKDF, Canada CANARIE, Canada ComputeCanada, Canada CRC, Canada IVADO, Canada; Beijing Municipal Science & Technology Commission; COST, European Union European Research Council (ERC) Horizon 2020, European Union Marie Sklodowska-Curie Actions, European Union ERDF, European Union French National Research Agency (ANR); German Research Foundation (DFG) Alexander von Humboldt Foundation; EU-ESF, Greece Greek NSRF, Greece; BSF-NSF, Israel German-Israeli Foundation for Scientific Research and Development; La Caixa Banking Foundation, Spain CERCA Programme Generalitat de Catalunya, Spain GenT Programme Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; Royal Society of London; Leverhulme Trust; Herakleitos programme Thales Group Aristeia programme; PROMETEO Programme Generalitat Valenciana, SpainRésumé
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.