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Discrimination Between Quasars and Stars by Support Vector Machines

Published online by Cambridge University Press:  03 June 2010

Yanxia Zhang  and
Hongwen Zheng
Yanxia Zhang
Affiliation:
National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China Email: [email protected]
Hongwen Zheng
Affiliation:
North China Electronic Power University, Beijing, 102206, China Email: [email protected]
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We investigated the use of support vector machines (SVMs) to distinguish quasars from stars using survey databases from different wavebands. We first employed a random forest approach for selection and weighting of features. We find that SVMs are an effective method to preselect quasar candidates from multiwavelength data.

Keywords

astronomical databases: miscellaneouscatalogs, methods: data analysismethods: statistical
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 5 , Symposium S267: Co-Evolution of Central Black Holes and Galaxies , August 2009 , pp. 146
Copyright
Copyright © International Astronomical Union 2010