Speaker
Peiran Li
(University of Minnesota)
Description
We investigate the $W$ boson exotic decay channel, $W \rightarrow \ell\ell\ell \nu$, at LHC. Although the decay branching ratio is suppressed by the four body final states, the large abundance of produced W boson make the compensation. After enumerating the signal and all classes of background, the Deep Neural Network (DNN) machine learning is exploited for optimization. Results indicate that this tiny branching ratio can be measured in sub-percent level precision. This decay channel can also be applied to constrain the BSM model. With the $L_\mu - L_\tau$ as the benchmark model, we find that the current bound on the gauge coupling for $Z'$ mass in the range of $[5,75]$ GeV can be improved by around one order.
Authors
Kunfeng Lyu
(University of Minnesota)
Maxim Pospelov
Peiran Li
(University of Minnesota)
Mr
Yifan Fei
(Fudan University)
Zhen Liu
