arXiv:hep-ex/9705020·v2·High Energy Physics — Experiment
Role of Neural Networks in the Search of the Higgs Boson at LHC
T.Maggipinto🇮🇹 · G.Nardulli🇮🇹 · S.Dusini🇮🇹 · F.Ferrari🇮🇹 · I.Lazzizzera🇮🇹 · A.Sidoti🇮🇹 · A.Sartori🇮🇹 · G.P.Tecchiolli🇮🇹
Abstract
We show that neural network classifiers can be helpful to discriminate Higgs production from background at LHC in the Higgs mass range M= 200 GeV. We employ a common feed-forward neural network trained by the backpropagation algorithm for off-line analysis and the neural chip Totem, trained by the Reactive Tabu Search algorithm, which could be used for on-line analysis.
Comments: Latex, 8 pages, 2 figures