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Discrimination Between Quasars and Stars by Support Vector Machines

Published online by Cambridge University Press:  03 June 2010

Yanxia Zhang
Affiliation:
National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China Email: zyx@lamost.org
Hongwen Zheng
Affiliation:
North China Electronic Power University, Beijing, 102206, China Email: zyx300@sohu.com
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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.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2010