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Please use this identifier to cite or link to this item: http://hdl.handle.net/2248/2388
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dc.contributor.authorManeva, G. M-
dc.contributor.authorTemnikov, P. P-
dc.date.accessioned2008-06-02T11:47:13Z-
dc.date.available2008-06-02T11:47:13Z-
dc.date.issued2002-
dc.identifier.citationBASI, Vol. 30, No. 1, pp. 255 - 260en
dc.identifier.urihttp://hdl.handle.net/2248/2388-
dc.description.abstractArtificial 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.extent481056 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoenen
dc.publisherAstronomical Society of Indiaen
dc.relation.urihttp://adsabs.harvard.edu/abs/2002BASI...30..255Men
dc.subjectGamma Astronomy on the Grounden
dc.subjectArtificial Neural Networken
dc.titleApplication of neural network for the gamma-hadron discriminationen
dc.typeArticleen
Appears in Collections:BASI Publications

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