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

Published online by Cambridge University Press:  31 March 2017

Ya-Fang Huang ,
Jin-Zeng Li ,
Jing-hua Yuan  and
Hong-Li Liu
Ya-Fang Huang
Affiliation:
National Astronomical Observatories, Chinese Academy of Sciences, 20A Datun Road, Chaoyang District, Beijing 100012, China email: huangyf@nao.cas.cn
Jin-Zeng Li
Affiliation:
National Astronomical Observatories, Chinese Academy of Sciences, 20A Datun Road, Chaoyang District, Beijing 100012, China email: huangyf@nao.cas.cn
Jing-hua Yuan
Affiliation:
National Astronomical Observatories, Chinese Academy of Sciences, 20A Datun Road, Chaoyang District, Beijing 100012, China email: huangyf@nao.cas.cn
Hong-Li Liu
Affiliation:
National Astronomical Observatories, Chinese Academy of Sciences, 20A Datun Road, Chaoyang District, Beijing 100012, China email: huangyf@nao.cas.cn
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Abstract

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The 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.

Keywords

stars: pre-main sequence–stars: variables: T TauriHerbig Ae/Be
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 12 , Symposium S316: Formation, evolution, and survival of massive star clusters , August 2015 , pp. 147 - 148
Copyright
Copyright © International Astronomical Union 2017 

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