Multiple vector-like fermions in SU(5) GUT raise the unification scale to about 10^15.5 GeV, suppress proton decay operators via multiplet admixtures, and relax rigid Yukawa relations to better match observed fermion masses.
Minimal SU(5) GUTs with vectorlike fermions
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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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Fermion Multiplicities at the GUT Scale: A Statistical Study of Unification and Proton Decay
Multiple vector-like fermions in SU(5) GUT raise the unification scale to about 10^15.5 GeV, suppress proton decay operators via multiplet admixtures, and relax rigid Yukawa relations to better match observed fermion masses.
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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}.