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Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: 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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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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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: 23 of June of 2026]. Available at: https://hdl.handle.net/2445/12429

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