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

Open Access

1 July 1996

journal article
research article
Published by American Physical Society (APS) in Physical Review D

Vol. 54 (1) , 1233-1236
https://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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Version 1, 1996-03-11, ArXiv

This publication has 15 references indexed in Scilit:

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