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

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

1996-03-11

arxiv.org/abs/hep-ph/9603269v1

Phys.Rev. D54 (1996) 1233-1236

Physics

High Energy Physics

High Energy Physics - Phenomenology

11 pages, 3 figures, psfig

Scientific paper

10.1103/PhysRevD.54.1233

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 analyses, 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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