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Proceedings Paper

Analysis of tau 1-prong hadronic inclusive branching ratio using neural networks
Author(s): Francisco Matorras; Alberto A. Ruiz-Jimeno
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Paper Abstract

A FFNN has been used to classify the 1-prong (tau) decays. The net is able to separate hadronic decays from leptonic with 90% efficiency and 93% purity. Applied to the data taken by the DELPHI detector at LEP collider during 1992, the (tau) inclusive 1-prong hadronic branching ratio has been measured to be B1h equals 0.5050 +/- 0.0032-0.0031+0.0046.

Paper Details

Date Published: 6 April 1995
PDF: 12 pages
Proc. SPIE 2492, Applications and Science of Artificial Neural Networks, (6 April 1995); doi: 10.1117/12.205108
Show Author Affiliations
Francisco Matorras, Univ. de Cantabria (Spain)
Alberto A. Ruiz-Jimeno, Univ. de Cantabria (Spain)


Published in SPIE Proceedings Vol. 2492:
Applications and Science of Artificial Neural Networks
Steven K. Rogers; Dennis W. Ruck, Editor(s)

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