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1996

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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/12429

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

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http://dx.doi.org/10.1103/PhysRevD.54.1233

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.

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Partícules (Física nuclear), Física matemàtica

Subject (English)

Particles (Nuclear physics), Mathematical physics

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Articles publicats en revistes (Física Quàntica i Astrofísica)

Citation

AMETLLER, Ll., et al. Discriminating signal from background using neural networks: Application to top-quark search at the Fermilab Tevatron. Physical Review D. 1996. Vol. 54, num. 1, pags. 1233-1236. ISSN 0556-2821. [consulted: 16 of June of 2026]. Available at: https://hdl.handle.net/2445/12429

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