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

Authors
  • Maggipinto, T.
  • Nardulli, G.
  • Dusini, S.
  • Ferrari, F.
  • Lazzizzera, I.
  • Sidoti, A.
  • Sartori, A.
  • Tecchiolli, G. P.
Type
Published Article
Publication Date
Jun 02, 1997
Submission Date
May 30, 1997
Identifiers
DOI: 10.1016/S0370-2693(97)00887-3
Source
arXiv
License
Unknown
External links

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.

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