Balastegui, A. and Ruiz-Lapuente, P. and Canal, R. (2005) Neural network classification of gamma-ray bursts. Il nuovo cimento C, 28 (4\5). pp. 801-804. ISSN 1826-9885
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Abstract
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. and 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.
| Item Type: | Article |
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| Additional Information: | Paper presented at the “4th Workshop on Gamma-Ray Burst in the Afterglow Era”, Rome, October 18-22, 2004. |
| Uncontrolled Keywords: | γ-ray sources; γ-ray bursts ; Multivariate Analysis ; Neural networks, fuzzy logic, artificial intelligence in physics |
| Subjects: | 500 Scienze naturali e Matematica > 520 Astronomia e scienze connesse |
| Depositing User: | Marina Spanti |
| Date Deposited: | 17 Mar 2020 17:56 |
| Last Modified: | 17 Mar 2020 17:56 |
| URI: | http://eprints.bice.rm.cnr.it/id/eprint/15950 |
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