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Neural Networks for Analysis of Top Quark Production

D0 Collaboration·B Abbott
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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.

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D0 Collaboration, B Abbott. 1999-07-21. Neural Networks for Analysis of Top Quark Production. https://arxiv.org/abs/hep-ex/9907041

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