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Galaxy types in the Sloan Digital Sky Survey using supervised artificial neural networks
Authors:N. M. Ball  J. Loveday  M. Fukugita  O. Nakamura  S. Okamura  J. Brinkmann   R. J. Brunner
Affiliation:Astronomy Centre, University of Sussex, Falmer, Brighton, BN1 9QJ;Institute for Cosmic Ray Research, University of Tokyo, 5-1-5 Kashiwa, Kashiwa City, Chiba 277-8582, Japan;School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD;Department of Astronomy and Research Centre for the Early Universe, School of Science, University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo 113-0033, Japan;Apache Point Observatory, PO Box 59, Sunspot, NM 88349, USA;Department of Astronomy, University of Illinois, 1002 W Green Street, Urbana, IL 61801, USA
Abstract:
Keywords:methods: data analysis    methods: statistical    galaxies: fundamental parameters    galaxies: photometry    galaxies: statistics
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