REVIEW 3 cited by
Search for R-parity violating supersymmetry in a final state containing leptons and many jets with the ATLAS experiment using sqrt{s} = 13 TeV proton-proton collision data
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
Search for R-parity violating supersymmetry in a final state containing leptons and many jets with the ATLAS experiment using sqrt{s} = 13 TeV proton-proton collision data
read the original 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.
Forward citations
Cited by 3 Pith papers
-
Enabling stable preservation of ML algorithms in high-energy physics with petrifyML
petrifyML converts lwtnn, TMVA, MVAUtils, and scikit-learn ML models to ONNX or native C++/Python, letting HEP analyses preserve trained algorithms without original frameworks.
-
$B \to X_{\mathrm{s}} l^{+} l^{-}$ in the $\mu$ from $\nu$ Supersymmetric Standard Model
In the μνSSM, B→X_s l+l− is dominated by charged-Higgs C7 in the low-q² region and C9/C10 Z-penguins in the high-q² region, with the forward-backward asymmetry set by C7C10 and C9C10 interference.
-
Phenomenology of electroweak spin-1 resonances
Composite Higgs models with SU(2)_L × SU(2)_R predict spin-1 resonances mixing with electroweak bosons that remain viable at the LHC down to masses of about 1.5 TeV.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.