Automated Source Classification using a Kohonen Network

Details Automated Source Classification using a Kohonen Network Automated Source Classification using a Kohonen Network

1995-08-04

arxiv.org/abs/astro-ph/9508019v1

Astronomy and Astrophysics

Astrophysics

10 pages, self-unpacking uuencoded postscript, with 4 figures

Scientific paper

10.1086/309697

We report progress in the development of automatic star/galaxy classifier for processing images generated by large galaxy surveys like APM. Our classification method is based on neural networks using the Kohonen Self-Organizing Map approach. Our method is novel, since it does not need supervised learning, i.e. human factor, in training. The analysis presented here concentrates on separating point sources (stars) from extended ones. Using simple numerical experiments we compare our method of image classification to the more traditional (PSF-fitting) approach of DAOFIND.

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