Ametller, Ll.Garrido Beltrán, LluísStimpfl-Abele, G.Talavera Sánchez, PedroYepes, P.2010-05-062010-05-0619960556-2821https://hdl.handle.net/2445/12429The 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.4 p.application/pdfeng(c) The American Physical Society, 1996Partícules (Física nuclear)Física matemàticaParticles (Nuclear physics)Mathematical physicsDiscriminating signal from background using neural networks: Application to top-quark search at the Fermilab Tevatroninfo:eu-repo/semantics/article137397info:eu-repo/semantics/openAccess