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Photometric Redshift Techniques in Big-data Era

Published online by Cambridge University Press:  17 August 2016

Yan-Xia Zhang  and
Yong-Heng Zhao
Yan-Xia Zhang
Affiliation:
Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, 20A Datun Road, Chaoyang District, 100012, Beijing, P.R.China email:zyx@bao.ac.cn
Yong-Heng Zhao
Affiliation:
Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, 20A Datun Road, Chaoyang District, 100012, Beijing, P.R.China email:zyx@bao.ac.cn
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Abstract

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Photometric data increase with large survey projects running. The huge volume of data influences the means and methods to deal with them. As such, the techniques of photometric redshift estimation based on photometric data must be developed and improved.

Keywords

Photometric redshiftsdata miningmachine learning
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 11 , Symposium S319: Galaxies at High Redshift and Their Evolution Over Cosmic Time , August 2015 , pp. 57
Copyright
Copyright © International Astronomical Union 2016 

References

Zhang, Y. & Zhao, Y., Data Science Journal 2015 14 (11), 1 Google Scholar