Discriminating signal from background using neural networks: Application to top-quark search at the Fermilab Tevatron

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Títol:	Discriminating signal from background using neural networks: Application to top-quark search at the Fermilab Tevatron
Autor/a:	Ametller, Ll.; Garrido Beltrán, Lluís; Stimpfl-Abele, G.; Talavera Sánchez, Pedro; Yepes, P.
Altres autors:	Universitat de Barcelona
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 analysis, from variable selection to systematic errors, are presented. The top-quark search is used as an example to illustrate the problems and proposed solutions.
Matèries:	-Partícules (Física nuclear) -Física matemàtica -Particles (Nuclear physics) -Mathematical physics
Drets:	(c) The American Physical Society, 1996
Tipus de document:	Article Article - Versió publicada
Publicat per:	The American Physical Society
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Ametller, Ll.; Garrido Beltrán, Lluís; Talavera Sánchez, Pedro

Ametller Congost, Lluís; Talavera Sánchez, Pedro

Águila López, Francisco del; Ametller Congost, Lluís; Talavera Sánchez, Pedro

Ametller Congost, Lluís; Talavera Sánchez, Pedro

Espriu, D. (Domènec); Manzano, J.; Talavera Sánchez, Pedro

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