Speaker
Sven Heinemeyer
(Consejo Superior de Investigaciones Cientificas (CSIC) (ES))
Description
We use a Neural Network (NN) to determine the size of a BSM triple Higgs coupling, $\lambda_{hhH}$, where $h$ is the Higgs boson discovered at the LHC, and $H$ is a heavier CP-even Higgs boson. The underlying model is the SM extended by a real singlet (RxSM). Using the processes $e^+e^- \to Zhh$ and $e^+e^- \to \nu\bar\nu hh$, we feed the anticipated $m_{hh}$ invariant mass distributions into the NN to determine the value of $\lambda_{hhH}$. We find that this method is superior to traditional approaches.
Authors
Alain Verduras Schaeidt
(DESY)
Carlos Pulido Boatella
(UAM (Madrid))
Kateryna Radschenko Serdula
(IFT (Madrid))
Sven Heinemeyer
(Consejo Superior de Investigaciones Cientificas (CSIC) (ES))