Discriminating signal from background using neural networks. Application to top-quark search at the Fermilab Tevatron
Ll. Ametller, Ll. Garrido, G. Stimpfl-Abele, P. Talavera, P. Yepes
Abstract
The application of Neural Networks in High Energy Physics to the separation of signal from background events is studied. A variety of problems usually encountered in this sort of analyses, from variable selection to systematic errors, are presented. The top--quark search is used as an example to illustrate the problems and proposed solutions.
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