VLQBounds is a modular Python tool that compares VLQ parameter points to LHC pair and single production limits via grid interpolation and returns 95% CL exclusion verdicts.
Search for the production of single vector-like and excited quarks in the $Wt$ final state in $pp$ collisions at $\sqrt{s}$ = 8 TeV with the ATLAS detector
2 Pith papers cite this work. Polarity classification is still indexing.
abstract
A search for vector-like quarks and excited quarks in events containing a top quark and a $W$ boson in the final state is reported here. The search is based on $20.3 {fb}^{-1}$ of proton--proton collision data taken at the LHC at a centre-of-mass energy of 8 TeV recorded by the ATLAS detector. Events with one or two leptons, and one, two or three jets are selected with the additional requirement that at least one jet contains a $b$-quark. Single-lepton events are also required to contain at least one large-radius jet from the hadronic decay of a high-$p_\mathrm{T}$ $W$ boson or a top quark. No significant excess over the expected background is observed and upper limits on the cross-section times branching ratio for different vector-like quark and excited-quark model masses are derived. For the excited-quark production and decay to $Wt$ with unit couplings, quarks with masses below 1500 GeV are excluded and coupling-dependent limits are set.
years
2026 2verdicts
UNVERDICTED 2representative citing papers
CMS excludes narrow-width singlet vector-like B' quarks with masses 0.8-1.23 TeV in the tW channel using neural-network tagging and data-driven background modeling.
citing papers explorer
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VLQBounds: Confronting Vector-Like Quark Models with LHC Searches
VLQBounds is a modular Python tool that compares VLQ parameter points to LHC pair and single production limits via grid interpolation and returns 95% CL exclusion verdicts.
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Search for single production of a vector-like B' quark decaying to a top quark and a W boson in the single-lepton final state in proton-proton collisions at $\sqrt{s}$ = 13 TeV
CMS excludes narrow-width singlet vector-like B' quarks with masses 0.8-1.23 TeV in the tW channel using neural-network tagging and data-driven background modeling.