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Photometric Redshift Techniques in Big-data Era

Published online by Cambridge University Press:  17 August 2016

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:[email protected]
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:[email protected]
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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.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2016 

References

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