Application of neural network for the gamma-hadron discrimination

Abstract

Artificial Neural Network (ANN) method is applied for the analysis of raw data from the gamma ray CELESTE experiment. Our preliminary results show that, in the energy range 30-300 GeV, a good discrimination between showers generated by primary photons or hadrons could be obtained.