T. Maggipinto, G. Nardulli, S. Dusini, F. Ferrari, I. Lazzizzera, A. Sidoti, A. Sartori, G. P. Tecchiolli
Published 1997-05-30, updated 1997-06-02Version 2
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
Journal: Phys.Lett. B409 (1997) 517-522
Search for flavor-changing interactions of the top quark with the Higgs boson in $H \rightarrow b \bar{b}$ channel at $\sqrt{s}\,=\,13\,\mathrm{TeV}$
Search for the Higgs Boson: a Statistical Adventure of Exclusion and Discovery
Twenty Years of Searching for the Higgs Boson: Exclusion at LEP, Discovery at LHC
