Role of Neural Networks in the Search of the Higgs Boson at LHC

Details Role of Neural Networks in the Search of the Higgs Boson at LHC Role of Neural Networks in the Search of the Higgs Boson at LHC

1997-05-30

arxiv.org/abs/hep-ex/9705020v2

Phys.Lett. B409 (1997) 517-522

Physics

High Energy Physics

High Energy Physics - Experiment

Latex, 8 pages, 2 figures

Scientific paper

10.1016/S0370-2693(97)00887-3

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.

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