Dergi makalesi Açık Erişim
CERN İşbirliği
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 $139\phantom{\rule{0.166667em}{0ex}}{\text{fb}}^{-1}$ of $\sqrt{s}=13\phantom{\rule{0.333333em}{0ex}}\text{TeV}$ 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.
| Dosya adı | Boyutu | |
|---|---|---|
|
s10052-021-09761-x_a.pdf
md5:1bce14d45800a19c68c38abe29bac75d |
6.6 MB | İndir |
| Görüntülenme | 103 |
| İndirme | 37 |
| Veri hacmi | 243.8 MB |
| Tekil görüntülenme | 102 |
| Tekil indirme | 36 |