Please use this identifier to cite or link to this item:
Title: Discriminating signal from background using neural networks: Application to top-quark search at the Fermilab Tevatron
Author: Ametller, Ll.
Garrido Beltrán, Lluís
Stimpfl-Abele, G.
Talavera Sánchez, Pedro
Yepes, P.
Keywords: Partícules (Física nuclear)
Física matemàtica
Particles (Nuclear physics)
Mathematical physics
Issue Date: 1996
Publisher: The American Physical Society
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.
Note: Reproducció digital del document publicat en format paper, proporcionada per PROLA i
It is part of: Physical Review D, 1996, vol. 54, núm. 1, p. 1233-1236
Related resource:
ISSN: 0556-2821
Appears in Collections:Articles publicats en revistes (Física Quàntica i Astrofísica)

Files in This Item:
File Description SizeFormat 
137397.pdf98.68 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.