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The identification of K giant stars in LAMOST pilot survey

Published online by Cambridge University Press:  06 January 2014

Chao Liu ,
Fan Yang ,
Licai Deng ,
Yan Xu ,
Wenyuan Cui ,
Xiangxiang Xue ,
Shuang Gao ,
Yueyang Zhang  and
Yu Xin
Chao Liu
Affiliation:
Key Laboratory of Optical Astronomy, National Astronomical Observatories, CAS, 20A Datun Road, Chaoyang District, 100012, Beijing, China email: liuchao@nao.cas.cn
Fan Yang
Affiliation:
Key Laboratory of Optical Astronomy, National Astronomical Observatories, CAS, 20A Datun Road, Chaoyang District, 100012, Beijing, China email: liuchao@nao.cas.cn University of Chinese Academy of sciences, Beijing 100049, China
Licai Deng
Affiliation:
Key Laboratory of Optical Astronomy, National Astronomical Observatories, CAS, 20A Datun Road, Chaoyang District, 100012, Beijing, China email: liuchao@nao.cas.cn
Yan Xu
Affiliation:
Key Laboratory of Optical Astronomy, National Astronomical Observatories, CAS, 20A Datun Road, Chaoyang District, 100012, Beijing, China email: liuchao@nao.cas.cn
Wenyuan Cui
Affiliation:
Department of Physics, Hebei Normal University, 20 Nanerhuan Dong Road, Shijiazhuang 050024, China
Xiangxiang Xue
Affiliation:
Key Laboratory of Optical Astronomy, National Astronomical Observatories, CAS, 20A Datun Road, Chaoyang District, 100012, Beijing, China email: liuchao@nao.cas.cn Max Planck Institute for Astronomy, Königstuhl 17, D-69117 Heidelberg, Germany
Shuang Gao
Affiliation:
Key Laboratory of Optical Astronomy, National Astronomical Observatories, CAS, 20A Datun Road, Chaoyang District, 100012, Beijing, China email: liuchao@nao.cas.cn
Yueyang Zhang
Affiliation:
Key Laboratory of Optical Astronomy, National Astronomical Observatories, CAS, 20A Datun Road, Chaoyang District, 100012, Beijing, China email: liuchao@nao.cas.cn University of Chinese Academy of sciences, Beijing 100049, China
Yu Xin
Affiliation:
Key Laboratory of Optical Astronomy, National Astronomical Observatories, CAS, 20A Datun Road, Chaoyang District, 100012, Beijing, China email: liuchao@nao.cas.cn
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Abstract

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A support vector machine (SVM) method is applied to select K giant stars directly from the spectral features of LAMOST spectra. The performance of the algorithm is assessed using the MILES library. It shows that the completeness of the K giant stars is 87% with only about 6% dwarf contamination. This allows us to select 18,013 K giant stars at |b|>20° and 38,108 at |b|<20° from LAMOST pilot survey data.

Keywords

methods: data analysisstars: fundamental parameters (classification)Galaxy: structure
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 9 , Symposium S298: Setting the scene for Gaia and LAMOST , May 2013 , pp. 425
Copyright
Copyright © International Astronomical Union 2014 

References

Deng, L., Newberg, H. J., Liu, C., et al. 2012, RAA, 12, 735Google Scholar
Cortes, C. & Vapnik, V. 1995, Machine Learning, 20, 273Google Scholar