Neural network classification of gamma-ray bursts

Details Neural network classification of gamma-ray bursts Neural network classification of gamma-ray bursts

Jul 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005ncimc..28..801b&link_type=abstract

Il Nuovo Cimento C, vol. 28, Issue 4, p.801

Physics

Scientific paper

From a cluster analysis it appeared that a three-class classification of GRBs could be preferable to just the classic separation of short/hard and long/soft GRBs (Balastegui A., Ruiz-Lapuente P. Canal R. MNRAS 328 (2001) 283). A new classification of GRBs obtained via a neural network is presented, with a short/hard class, an intermediate-duration/soft class, and a long/soft class, the latter being a brighter and more inhomogenous class than the intermediate duration one. A possible physical meaning of this new classification is also outlined.

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