Photometric Redshift Techniques in Big-data Era

被引：0
|
作者：
Zhang, Yan-Xia [1 ]
Zhao, Yong-Heng [1 ]
机构：
[1] Chinese Acad Sci, Natl Astron Observ, Key Lab Opt Astron, 20A Datun Rd, Beijing 100012, Peoples R China
来源：
GALAXIES AT HIGH REDSHIFT AND THEIR EVOLUTION OVER COSMIC TIME | 2016年 / 11卷 / S319期
基金：
中国国家自然科学基金;
关键词：
Photometric redshifts; data mining; machine learning;
D O I：
10.1017/S1743921315009886
中图分类号：
P1 [天文学];
学科分类号：
0704 ;
摘要：
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.
引用
收藏
页码：57 / 57
页数：1
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