Star/galaxy classification using Kohonen self-organizing maps

Details Star/galaxy classification using Kohonen self-organizing maps Star/galaxy classification using Kohonen self-organizing maps

Mar 1996

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1996mnras.279..293m&link_type=abstract

Monthly Notices of the Royal Astronomical Society, Volume 279, Issue 1, pp. 293-300.

Astronomy and Astrophysics

Astronomy

14

Methods: Data Analysis, Techniques: Image Processing, Astronomical Data Bases: Miscellaneous, Catalogues, Surveys, Stars: General

Scientific paper

The automatic classification of star/galaxy data sets is of growing importance as the size of survey data sets increases. Here we present a classifier based on the Kohonen self-organizing map (SOM). The SOM was trained to classify by type using only a small number of manually classified objects. Galaxy classification accuracies of 98 per cent are achieved for objects with a limiting magnitude of 20.

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