4 papers
Machine learning study on single production of a singlet vectorlike lepton at the Large Hadron Collider
Yiheng Cui, Shiyu Wang, Zhao-Huan Yu +1
Vectorlike leptons are nonchiral, colorless fermions from new physics beyond the Standard Model, appearing in many theoretical extensions. We investigate the prospect for detecting…
Probing Long-Lived Photophobic Axion-Like Particles via Prompt Leptons and Mono- at FCC-ee and CEPC
Shi-Yu Wang, Yu-Peng Jiao, Hong-Hao Zhang +1
We investigate the potential to probe axion-like particles (ALPs) under the photophobic scenario at the FCC-ee and CEPC at the Z-pole, with GeV. The signal proces…
Interpreting the KM3-230213A PeV Neutrino Event via Vector Dark Matter Decay and Its Multi-Messenger Signatures
Yu-Hang Su, Si-Yu Chen, Chengfeng Cai +1
The KM3NeT Collaboration recently reported the detection of an ultra-high-energy neutrino event KM3-230213A with a reconstructed energy of PeV, the most energet…
Heavy neutrino mixing prospects at hadron colliders: a machine learning study
Si-Yu Chen, Yu-Peng Jiao, Shi-Yu Wang +3
We apply machine learning to the searches of heavy neutrino mixing in the inverse seesaw in the framework of left-right symmetric model at the high-energy hadron colliders. The Maj…