36 citations · 118 across the 10 of their papers we have counts for
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hep-ph2021★ 3 cited
Improving heavy Dirac neutrino prospects at future hadron colliders using machine learning
Jie Feng, Mingqiu Li, Qi-Shu Yan +4
In this work, by using the machine learning methods, we study the sensitivities of heavy pseudo-Dirac neutrino in the inverse seesaw at the high-energy hadron colliders. The pr…
hep-ph2021★ 16 cited
Cancellation mechanism of dark matter direct detection in Higgs-portal and vector-portal models
Chengfeng Cai, Yu-Pan Zeng, Hong-Hao Zhang
We present two alternative proofs for the cancellation mechanism in the U(1) symmetric pseudo-Nambu-Goldstone-Boson Dark Matter (pNGB DM) model. They help us to have a better under…
hep-ph2021★ 25 cited
Constraints on Pseudo-Nambu-Goldstone dark matter from direct detection experiment and neutron star reheating temperature
Yu-Pan Zeng, Xiang Xiao, Wei Wang
Pseudo-Nambu-Goldstone dark matter connected to Standard Model fermion through the Higgs portal has the property that its direct detection vanishes in the zero momentum transfer li…