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 ,
Issue Information
روزنامه با شماره پیاپی سال 2003
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
Gamma astronomy , Cherenkov telescope , neural network
Journal title
Nuclear Instruments and Methods in Physics Research Section A
Serial Year
2003
Journal title
Nuclear Instruments and Methods in Physics Research Section A
Record number
2198788
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