55 citations · 162 across the 11 of their papers we have counts for
11 papers
Cosmological Simulations with Massive Neutrinos: Efficiency and Accuracy
Bing-Hang Chen, Jun-Jie Zhao, Hao-Ran Yu +3
Constraining neutrino mass through cosmological observations relies on precise simulations to calibrate their effects on large scale structure, while these simulations must overcom…
The LHC sensitivity to weak gauginos in light of the latest muon and dark matter results
Shuang Liang, Kun Wang, Jun Zhao +1
Among the electroweakinos, the weak gauginos have the largest production rate at the LHC and should therefore be the primary focus of searches. In this work, we examine the LHC sen…
Probing triple Higgs coupling with machine learning at the LHC
Murat Abdughani, Daohan Wang, Lei Wu +2
Measuring the triple Higgs coupling is a crucial task in the LHC and future collider experiments. We apply the Message Passing Neural Network (MPNN) to the study of the non-resonan…
PandaX limits on light dark matter with light mediator in the singlet extension of MSSM
Wenyu Wang, Jia-Jun Wu, Zhao-Hua Xiong +1
Using the latest PandaX limits on light dark matter (DM) with light mediator, we check the implication on the parameter space of the general singlet extension of MSSM (without $Z_3…
Testing electroweak SUSY for muon and dark matter at the LHC and beyond
Murat Abdughani, Ken-ichi Hikasa, Lei Wu +2
Given that the LHC experiment has produced strong constraints on the colored supersymmetric particles (sparticles), testing the electroweak supersymmetry (EWSUSY) will be the next…
Supervised deep learning in high energy phenomenology: a mini review
Murat Abdughani, Jie Ren, Lei Wu +2
Deep learning, a branch of machine learning, have been recently applied to high energy experimental and phenomenological studies. In this note we give a brief review on those appli…
TeV SUSY dark matter confronted with the current direct and indirect detection data
Murat Abdughani, Jie Ren, Jun Zhao
In the minimal supersymmetric standard model (MSSM) the lightest superparticle (LSP) can be a TeV neutralino (mainly dominated by higgsino or wino) which serves as a dark matter ca…
The Higgs properties in the MSSM after the LHC Run-2
Jun Zhao
We scrutinize the parameter space of the SM-like Higgs boson in the minimal supersymmetric standard model (MSSM) under current experimental constraints. The constraints are from (i…
Probing GeV-scale MSSM neutralino dark matter in collider and direct detection experiments
Guang Hua Duan, Wenyu Wang, Lei Wu +2
Given the recent constraints from the dark matter (DM) direct detections, we examine a light GeV-scale (2-30 GeV) neutralino DM in the alignment limit of the Minimal Supersymmetric…
Exploring supersymmetry with machine learning
Jie Ren, Lei Wu, Jin Min Yang +1
Investigation of well-motivated parameter space in the theories of Beyond the Standard Model (BSM) plays an important role in new physics discoveries. However, a large-scale explor…
Higgs exotic decays in general NMSSM with self-interacting dark matter
Wenyu Wang, Mengchao Zhang, Jun Zhao
Under current LHC and dark matter constraints, the general NMSSM can have self-interacting dark matter to explain the cosmological small structure. In this scenario, the dark matte…