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Higgs Search by Neural Networks at LHC

High Energy Physics - Phenomenology 2009-10-28 v1
Authors: P. Chiappetta , P. Colangelo , P. De Felice , G. Nardulli , G. Pasquariello
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Abstract

We show that neural network classifiers can be used to discriminate Higgs production from background at LHC for 150<MH<200 150< M_H<200 GeV. The results compare favourably with ordinary multivariate analysis.

Keywords

neural networks Higgs search LHC signal discrimination multivariate analysis

Cite

@article{arxiv.hep-ph/9401343,
  title  = {Higgs Search by Neural Networks at LHC},
  author = {P. Chiappetta and P. Colangelo and P. De Felice and G. Nardulli and G. Pasquariello},
  journal= {arXiv preprint arXiv:hep-ph/9401343},
  year   = {2009}
}

Comments

LaTex, 9 pages, 1 figure (Postscript file included), CPT-93/PE 2969, BARI-TH/159-93

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