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Discriminating signal from background using neural networks: Application to top-quark search at the Fermilab Tevatron
Ametller, Ll.; Garrido Beltrán, Lluís; Stimpfl-Abele, G.; Talavera Sánchez, Pedro; Yepes, P.
Universitat de Barcelona
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.
Partícules (Física nuclear)
Física matemàtica
Particles (Nuclear physics)
Mathematical physics
(c) The American Physical Society, 1996
Artículo
The American Physical Society
         

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