Abstract
A first approach to the shower reconstruction from the amplitudes of the Cerenkov photons is made using Artificial Neural Networks, (ANN). We show that ANN method gives good results for the photon-proton discrimination, the primary energy determination and encouraging perspectives for the determination of the location of the shower core.
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