16 citations · 20 across the 4 of their papers we have counts for
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hep-ph2023
Probing Dark QCD Sector through the Higgs Portal with Machine Learning at the LHC
Chih-Ting Lu, Huifang Lv, Wei Shen +2
The QCD-like dark sector with GeV-scale dark hadrons has the potential to generate new signatures at the Large Hadron Collider (LHC). In this paper, we consider a singlet scalar me…
hep-ph2022★ 16 cited
Deep Learning Jet Image as a Probe of Light Higgsino Dark Matter at the LHC
Huifang Lv, Daohan Wang, Lei Wu
Higgsino in supersymmetric standard models can play the role of dark matter particle. In conjunction with the naturalness criterion, the higgsino mass parameter is expected to be a…
hep-ph2022★ 4 cited
Global fits of SUSY at future Higgs factories
Peter Athron, Csaba Balazs, Andrew Fowlie +5
In this work, we study the impact of electroweak and Higgs precision measurements at future electron-positron colliders on several typical supersymmetric models, including the Cons…