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Please use this identifier to cite or link to this item: http://hdl.handle.net/2248/2388
Title: Application of neural network for the gamma-hadron discrimination
Authors: Maneva, G. M
Temnikov, P. P
Keywords: Gamma Astronomy on the Ground
Artificial Neural Network
Issue Date: 2002
Publisher: Astronomical Society of India
Citation: BASI, Vol. 30, No. 1, pp. 255 - 260
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.
URI: http://hdl.handle.net/2248/2388
Appears in Collections:BASI Publications

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