Vector-like lepton searches at a muon collider in the context of the 4321 model  

作　　者：郭启隆 高乐耘 冒亚军 李强 Qilong Guo;Leyun Gao;Yajun Mao;Qiang Li(School of Physics and State Key Laboratory of Nuclear Physics and Technology,Peking University,Beijing 100871,China)

机构地区：[1]School of Physics and State Key Laboratory of Nuclear Physics and Technology,Peking University,Beijing 100871,China

出　　处：《Chinese Physics C》2023年第10期99-106,共8页中国物理C（英文版）

基　　金：Supported in part by the National Natural Science Foundation of China (12150005, 12075004,. 12061141002);MOST (2018YFA0403900)

摘　　要：A feasibility study is performed on the search for vector-like leptons(VLLs)at a muon collider in the context of the"4321 model",an ultraviolet-complete model with rich collider phenomenology and the potential to explain several recent existing B physics measurements or anomalies.Pair production and decays of VLLs lead to an interesting final state topology with multi-jets and multi-tau leptons.In this study,we perform a Monte Carlo investigation with various machine learning techniques and examine the projected sensitivity on VLLs over a wide mass range at a TeV-scale muon collider.We find that a 3 TeV muon collider with only 10 fb^(−1) of data can be sensitive over the mass range of a VLL up to 1450 GeV in the"4321 model."

关 键 词：vector-like lepton machine learning muon collider 

分 类 号：O572.214[理学—粒子物理与原子核物理]