Hostname: page-component-6bf8c574d5-9nwgx Total loading time: 0 Render date: 2025-02-22T23:14:12.318Z Has data issue: false hasContentIssue false
  • English
  • Français

The M-giant candidates identified in the LAMOST data release 1

Published online by Cambridge University Press:  17 July 2015

J. Zhong ,
S. Lépine ,
J. Li ,
L. Chen ,
J.L. Hou  and
Z.Y. Shao
J. Zhong
Affiliation:
Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 80 Nandan Road, Shanghai, China
S. Lépine
Affiliation:
Department of Physics & Astronomy, Georgia State University, 25 Park Place, Atlanta, GA 30303, USA
J. Li
Affiliation:
Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 80 Nandan Road, Shanghai, China
L. Chen
Affiliation:
Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 80 Nandan Road, Shanghai, China
J.L. Hou
Affiliation:
Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 80 Nandan Road, Shanghai, China
Z.Y. Shao
Affiliation:
Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 80 Nandan Road, Shanghai, China
Get access

Abstract

We have successfully assembled a set of M giant templates from M0 to M6 by using the LAMOST DR1 spectra. After combining the M giant templates and M dwarf/subdwarf templates as a new M-type spectral library, we re-run the updated classification pipeline to identify and classify M-type stars in the LAMOST DR1. The 8639 M giants and the 107193 M dwarfs/subdwarfs are cataloged.

Type
Research Article
Information
European Astronomical Society Publications Series , Volume 68: The Milky Way Unravelled by Gaia: GREAT Science from the Gaia Data Releases , 2014 , pp. 409
Copyright
© EAS, EDP Sciences, 2015

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Zhong, J., Lépine, S., Li, J., Chen, L., Hou, J., & Shao, Z., 2015, RAA, submitted