36 citations · 176 across the 14 of their papers we have counts for
14 papers
Discovery Prospects for the Light Charged Higgs Boson Decay to an Off-Shell Top Quark and a Bottom Quark at Future High-Energy Colliders
Jinheung Kim, Soojin Lee, Prasenjit Sanyal +2
The charged Higgs boson () with a mass below the top quark mass remains a viable possibility within the Type-I two-Higgs-doublet model under current constraints. While previ…
Probing Light Fermiophobic Higgs Boson via diphoton jets at the HL-LHC
Daohan Wang, Jin-Hwan Cho, Jinheung Kim +3
In this study, we explore the phenomenological signatures associated with a light fermiophobic Higgs boson, , within the type-I two-Higgs-doublet model at the HL-LHC. Ou…
Hierarchical High-Point Energy Flow Network for Jet Tagging
Wei Shen, Daohan Wang, Jin Min Yang
Jet substructure observable basis is a systematic and powerful tool for analyzing the internal energy distribution of constituent particles within a jet. In this work, we propose a…
Quark/Gluon Discrimination and Top Tagging with Dual Attention Transformer
Minxuan He, Daohan Wang
Jet tagging is a crucial classification task in high energy physics. Recently the performance of jet tagging has been significantly improved by the application of deep learning tec…
Exploring lepton flavor violation phenomena of the and Higgs bosons at electron-proton colliders
Adil Jueid, Jinheung Kim, Soojin Lee +2
We comprehensively study the potential for discovering lepton flavor violation (LFV) phenomena associated with the and Higgs bosons at the LHeC and FCC-he. Our meticulous inves…
Probing the electroweak final state in type I 2HDM at the LHC
Prasenjit Sanyal, Daohan Wang
Most of the experimental searches of the non-Standard Model Higgs boson(s) at the LHC rely on the QCD induced production modes. However, in some beyond Standard Model frameworks, t…
and to probe the fermiophobic Higgs boson with high cutoff scales
Jinheung Kim, Soojin Lee, Prasenjit Sanyal +2
The light fermiophobic Higgs boson in the type-I two-Higgs-doublet model can evade the current search programs at the LHC since its production through the quark-antiqua…
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…
Enhanced Higgs pair production from higgsino decay at the HL-LHC
Jianpeng Dai, Tao Liu, Daohan Wang +1
The scenario of multi-sector SUSY breaking predicts pseudo-goldstinos which are not absorbed by the gravitino and their mass can be as low as GeV. Since the inte…
Detecting an axion-like particle with machine learning at the LHC
Jie Ren, Daohan Wang, Lei Wu +2
Axion-like particles (ALPs) appear in various new physics models with spontaneous global symmetry breaking. When the ALP mass is in the range of MeV to GeV, the cosmology and astro…
Heavy Bino and Slepton for Muon g-2 Anomaly
Yuchao Gu, Ning Liu, Liangliang Su +1
In light of very recent E989 experimental result, we investigate the possibility that heavy sparticles explain the muon g-2 anomaly. We focus on the bino-smuon loop in an effective…
Photon-jet events as a probe of axion-like particles at the LHC
Daohan Wang, Lei Wu, Jin Min Yang +1
Axion-like particles (ALPs) are predicted by many extensions of the Standard Model (SM). When ALP mass lies in the range of MeV to GeV, the cosmology and astrophysics will be large…
Hunting for top partner with a new signature at the LHC
Daohan Wang, Lei Wu, Mengchao Zhang
Vector-like top partner plays a central role in many new physics models which attempt to address the hierarchy problem. The top partner is conventionally assumed to decay to a quar…
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…