Published July 2005 | Version v1
Journal article

Neural network classification of gamma-ray bursts

  • 1. Barcelona Univ., Barcelona (Spain). Departament d'astronomia i meterologia
  • 2. Max-Planck-Instuitut fur Astrophysik, Garching (Germany)
  • 3. Institut d'estudis espacials de Catalunya, Barcelona (Spain)

Description

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 inhomogeneous class than the intermediate duration one. A possible physical meaning of this new classification is also outlined

Availability note (English)

Also avalaible from: http://dx.doi.org/10.1393/ncc/i2005-10157-6

Additional details

Identifiers

Publishing Information

Journal Title
Nuovo Cimento della Societa Italiana di Fisica. C, Geophysics and Space Physics
Journal Volume
28C
Journal Issue
4-5
Journal Page Range
p. 801-804
ISSN
1124-1896