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.
Canonical reference
Model Independent Framework for Searches of Top Partners
Canonical reference. 83% of citing Pith papers cite this work as background.
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83% of classified citations
abstract
We propose a model-independent and general framework to study the LHC phenomenology of top partners, i.e. Vector-Like quarks including particles with different electro-magnetic charge. We consider Vector-Like quarks embedded in general representations of the weak SU(2)L, coupling to all Standard Model quarks via Yukawa mixing focusing on the case of a single multiplet. We show that, with very minimal and quite general assumptions, top partners may be studied in terms of few parameters in an effective Lagrangian description with a clear and simple connection with experimental observables. We also demonstrate that the parametrisation can be applied as well to cases with many Vector-like multiplets, thus covering most realistic models of New Physics. We perform a numerical study to understand the conclusions which can be drawn within such a description and the expected potential for discovery or exclusion at the LHC. Our main results are a clear connection between branching ratios and single production channels, and the identification of novel interesting channels to be studied at the LHC.
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method 1
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hep-ph 7years
2026 7verdicts
UNVERDICTED 7representative citing papers
Colour-sextet top partners in composite Higgs models are excluded up to 2-2.5 TeV by current LHC data via top-rich decays, with HL-LHC reach near 3 TeV.
In minimal benchmarks with a vector-like down quark D and singlet scalar, the new-physics contribution to B to X_s gamma is only 0.4 percent of the Standard Model value at TeV scales, while B_s mixing imposes stronger limits on the complex-scalar case.
A combined kitchen sink observable set of Energy Flow Polynomials and subjettiness variables outperforms standard baselines in sensitivity to a wide range of resonant signals, with new public benchmarks released and an attribute bagging variant reducing training cost.
XGBoost multivariate analysis extends the 5-sigma discovery reach for singly produced vector-like bottom quarks decaying via heavy neutral Higgs bosons to 1.6 TeV at the HL-LHC with 3 ab^{-1}.
Hidden BSM decays of vector-like bottom quarks in 2HDM-II relax LHC mass limits from ~1.5 TeV to 1.34 TeV for singlets and 0.98 TeV for doublets.
XGBoost machine learning improves discrimination in LHC searches for singlet vector-like leptons, yielding projected 2σ mass exclusion limits of 620 GeV (three-lepton) and 490 GeV (four-lepton) at 14 TeV with 3000 fb^{-1}.
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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Composite top partners in exotic colour representations
Colour-sextet top partners in composite Higgs models are excluded up to 2-2.5 TeV by current LHC data via top-rich decays, with HL-LHC reach near 3 TeV.
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Real and Complex Singlet-Scalar Benchmarks with a Vector-Like Down Quark for $B\to X_s\gamma$ and $B_s-\bar B_s$ Mixing
In minimal benchmarks with a vector-like down quark D and singlet scalar, the new-physics contribution to B to X_s gamma is only 0.4 percent of the Standard Model value at TeV scales, while B_s mixing imposes stronger limits on the complex-scalar case.
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Kitchen Sink Anomaly Detection
A combined kitchen sink observable set of Energy Flow Polynomials and subjettiness variables outperforms standard baselines in sensitivity to a wide range of resonant signals, with new public benchmarks released and an attribute bagging variant reducing training cost.
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Probing Heavy Neutral Higgs Bosons via Single Vector-Like Bottom Quark Production at the HL-LHC
XGBoost multivariate analysis extends the 5-sigma discovery reach for singly produced vector-like bottom quarks decaying via heavy neutral Higgs bosons to 1.6 TeV at the HL-LHC with 3 ab^{-1}.
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Impact of hidden heavy Higgs channels of VLB-Quarks below 1 TeV in 2HDM
Hidden BSM decays of vector-like bottom quarks in 2HDM-II relax LHC mass limits from ~1.5 TeV to 1.34 TeV for singlets and 0.98 TeV for doublets.
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Machine Learning Study on Single Production of a Singlet Vector-like Lepton at the Large Hadron Collider
XGBoost machine learning improves discrimination in LHC searches for singlet vector-like leptons, yielding projected 2σ mass exclusion limits of 620 GeV (three-lepton) and 490 GeV (four-lepton) at 14 TeV with 3000 fb^{-1}.