Analysis of tau 1-prong hadronic inclusive branching ratio using neural networks

Francisco Matorras; Alberto A. Ruiz-Jimeno

doi:10.1117/12.205108

6 April 1995 Analysis of tau 1-prong hadronic inclusive branching ratio using neural networks

Francisco Matorras, Alberto A. Ruiz-Jimeno

Proceedings Volume 2492, Applications and Science of Artificial Neural Networks; (1995) https://doi.org/10.1117/12.205108
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

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 B_1h equals 0.5050 +/- 0.0032_-0.0031^+0.0046.

Citation Download Citation

Francisco Matorras and Alberto A. Ruiz-Jimeno "Analysis of tau 1-prong hadronic inclusive branching ratio using neural networks", Proc. SPIE 2492, Applications and Science of Artificial Neural Networks, (6 April 1995); https://doi.org/10.1117/12.205108

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available