Neural Networks for Analysis of Top Quark Production

D0 Collaboration; B Abbott

Neural Networks for Analysis of Top Quark Production

High Energy Physics - Experiment 2007-05-23 v1

Authors: D0 Collaboration , B Abbott

Abstract

Neural networks (NNs) provide a powerful and flexible tool for selecting a signal from a larger background. The D0 collaboration has used them extensively in studying t-tbar decays. NNs were essential to the measurement of the t-tbar production cross section in the all-jets channel (t tbar -> b bbar qqqq, and were also used in the measurement of the mass of the top quark in the lepton+jets channel (t tbar -> b bbar l nu q qbar). This paper will describe two new applications of neural networks to top~quark analysis: the search for single top~quark production, and an effort to increase the sensitivity in the dilepton channel t tbar -> b bbar e mu nu nu beyond that achieved in the published analysis.

Cite

@article{arxiv.hep-ex/9907041,
  title  = {Neural Networks for Analysis of Top Quark Production},
  author = {D0 Collaboration and B Abbott},
  journal= {arXiv preprint arXiv:hep-ex/9907041},
  year   = {2007}
}