Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/12429
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dc.contributor.authorAmetller, Ll.cat
dc.contributor.authorGarrido Beltrán, Lluíscat
dc.contributor.authorStimpfl-Abele, G.cat
dc.contributor.authorTalavera Sánchez, Pedrocat
dc.contributor.authorYepes, P.cat
dc.date.accessioned2010-05-06T10:55:04Z-
dc.date.available2010-05-06T10:55:04Z-
dc.date.issued1996cat
dc.identifier.issn0556-2821cat
dc.identifier.urihttp://hdl.handle.net/2445/12429-
dc.description.abstractThe 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.eng
dc.format.extent4 p.cat
dc.format.mimetypeapplication/pdfeng
dc.language.isoengeng
dc.publisherThe American Physical Societyeng
dc.relation.isformatofReproducció digital del document publicat en format paper, proporcionada per PROLA i http://dx.doi.org/10.1103/PhysRevD.54.1233cat
dc.relation.ispartofPhysical Review D, 1996, vol. 54, núm. 1, p. 1233-1236cat
dc.relation.urihttp://dx.doi.org/10.1103/PhysRevD.54.1233-
dc.rights(c) The American Physical Society, 1996eng
dc.sourceArticles publicats en revistes (Física Quàntica i Astrofísica)-
dc.subject.classificationPartícules (Física nuclear)cat
dc.subject.classificationFísica matemàticacat
dc.subject.otherParticles (Nuclear physics)eng
dc.subject.otherMathematical physicseng
dc.titleDiscriminating signal from background using neural networks: Application to top-quark search at the Fermilab Tevatroneng
dc.typeinfo:eu-repo/semantics/articleeng
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.identifier.idgrec137397cat
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
Appears in Collections:Articles publicats en revistes (Física Quàntica i Astrofísica)

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