Gamma-Hadron Discrimination with a Neural Network in the ARGO-YBJ Experiment
arXiv:astro-ph/9906201
Abstract
The structure of a neural network developed for the gamma hadron separation in the ARGO-YBJ detector is presented. The discrimination power in the full ARGO-YBJ energy range is shown in detail and the improvement in the detector sensitivity is also discussed.
4 pages, 4 figures, to appear in the proceedings of the 26th International Cosmic Ray Conference (Salt Lake City, 1999)