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Cambridge University Press (CUP), Proceedings of the International Astronomical Union, S316(12), p. 147-148, 2015

DOI: 10.1017/s1743921316007109

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Efficient Selection and Classification of Infrared Excess Emission Stars Based on AKARI and 2MASS Data

Journal article published in 2015 by Ya-Fang Huang, Jin-Zeng Li, Jing-Hua Yuan ORCID, Hong-Li Liu
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

AbstractThe selection of young stellar objects (YSOs) based on excess emission in the infrared is easily contaminated by post-main-sequence stars and various types of emission line stars with similar properties. We define in this paper stringent criteria for an efficient selection and classification of stellar sources with infrared excess emission based on combined Two Micron All Sky Survey (2MASS) and AKARI colors.

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