Title of article
Neural nets for ground-based γ-ray astronomy
Author/Authors
Maneva، نويسنده , , G.M. and Procureur، نويسنده , , J. and Temnikov، نويسنده , , P.P.، نويسنده ,
Pages
3
From page
789
To page
791
Abstract
The application of the artificial neural networks to data processing in the domain of the atmospheric Cherenkov γ-ray telescopes is considered. The main problems arising from the specifics of these experiments, such as low signal, pairs of ON–OFF observations, instability of the background events, and their influence on the analysis are discussed. A method for discriminating the γ-induced atmospheric showers from the large hadronic background is proposed.
Keywords
neural network , Gamma astronomy , Cherenkov telescope
Journal title
Astroparticle Physics
Record number
2021472
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