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The effect of binary stars on photometric redshift for galaxies at z ~ 2.0

Published online by Cambridge University Press:  07 March 2016

Yu Zhang  and
Jinzhong Liu
Yu Zhang
Affiliation:
Xinjiang Astronomical Observatory, Chinese Academy of Sciences, 150 Science 1-Street, Urumqi, Xinjiang 830011, China email: zhy@xao.ac.cn
Jinzhong Liu
Affiliation:
Xinjiang Astronomical Observatory, Chinese Academy of Sciences, 150 Science 1-Street, Urumqi, Xinjiang 830011, China email: zhy@xao.ac.cn
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Abstract

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Evolutionary population synthesis (EPS) models play an important role in many studies on the formation and evolution of galaxy. The poorly calibration for some stellar evolution stages in EPS models can lead to uncertainty of the parameter determinations for galaxies. By means of the HyperZ code and a set of theoretical galaxy template, which are built on the EPS models with and without binary interactions, we present photometric redshift (photo-z) estimates for passive galaxy sample at redshift z ~ 2.0. The passive galaxy sample is selected from Fang et al., and they also provide the redshift for these passive galaxies. By comparing the photo-z determined from EPS models with and without binary interactions, we find that the binary interactions have little effect in the photo-z determinations.

Keywords

galaxies: stellar contentgalaxies: high-redshiftbinaries: general
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 10 , Issue S312: Star Clusters and Black Holes in Galaxies across Cosmic Time , August 2014 , pp. 89 - 91
Copyright
Copyright © International Astronomical Union 2016 

References

Bolzonella, M., Miralles, J., & Pelló, R. 2000, A&A, 363, 476Google Scholar
Fang, G., Kong, X., Chen, Y., & Lin, X. 2012, ApJ, 751, 109Google Scholar
Zhang, F., Han, Z., Li, L., & Hurley, J. 2004, A&A, 415, 117Google Scholar
Zhang, F., Han, Z., Li, L., & Hurley, J. 2005, MNRAS, 357, 1088CrossRefGoogle Scholar
Zhang, Y., Han, Z., Liu, J., Zhang, F., & Kang, X. 2012, MNRAS, 421, 1678Google Scholar
Zhang, Y., Liu, J., Zhang, F., & Han, Z. 2013, A&A, 554, 136Google Scholar