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Discriminating Quasars from Stars Based on SDSS and UKIDSS Databases

Published online by Cambridge University Press:  17 July 2013

He Ma ,
Yanxia Zhang ,
Yongheng Zhao  and
Bo Zhang
He Ma
Affiliation:
Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, 100012 Beijing, China Hebei Normal University, 050016 ShiJiaZhuang, Hebei, China
Yanxia Zhang
Affiliation:
Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, 100012 Beijing, China
Yongheng Zhao
Affiliation:
Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, 100012 Beijing, China
Bo Zhang
Affiliation:
Hebei Normal University, 050016 ShiJiaZhuang, Hebei, China
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Abstract

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In this work, two different algorithms: Linear Discriminant Analysis (LDA) and Support Vector Machines (SVMs) are combined for the classification of unresolved sources from SDSS DR8 and UKIDSS DR8. The experimental result shows that this joint approach is effective for our case.

Keywords

ClassificationAstronomical databases: miscellaneousCatalogsMethods: Data AnalysisMethods: Statistical
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 8 , Symposium S295: The intriguing life of massive galaxies , August 2012 , pp. 180
Copyright
Copyright © International Astronomical Union 2013