Application of neural network for the gamma-hadron discrimination

dc.contributor.author	Maneva, G. M
dc.contributor.author	Temnikov, P. P
dc.date.accessioned	2008-06-02T11:47:13Z
dc.date.available	2008-06-02T11:47:13Z
dc.date.issued	2002
dc.identifier.citation	BASI, Vol. 30, No. 1, pp. 255 - 260	en
dc.identifier.uri	http://hdl.handle.net/2248/2388
dc.description.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.	en
dc.format.extent	481056 bytes
dc.format.mimetype	application/pdf
dc.language.iso	en	en
dc.publisher	Astronomical Society of India	en
dc.relation.uri	http://adsabs.harvard.edu/abs/2002BASI...30..255M	en
dc.subject	Gamma Astronomy on the Ground	en
dc.subject	Artificial Neural Network	en
dc.title	Application of neural network for the gamma-hadron discrimination	en
dc.type	Article	en