Galaxy tagging: photometric redshift refinement and group richness enhancement

被引：9
|
作者：
Kafle, P. R. [1 ]
Robotham, A. S. G. [1 ]
Driver, S. P. [1 ]
Deeley, S. [2 ,3 ]
Norberg, P. [4 ]
Drinkwater, M. J. [2 ]
Davies, L. J. [1 ]
机构：
[1] Univ Western Australia, ICRAR, 35 Stirling Highway, Crawley, WA 6009, Australia
[2] Univ Queensland, Sch Math & Phys, Brisbane, Qld 4072, Australia
[3] ARC Ctr Excellence All Sky Astrophys CAASTRO, Sydney, NSW, Australia
[4] Univ Durham, Inst Computat Cosmol, Dept Phys, South Rd, Durham DH1 3LE, England
来源：
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY | 2018年 / 479卷 / 03期
基金：
澳大利亚研究理事会; 欧洲研究理事会;
关键词：
galaxies: general; galaxies: groups: general; galaxies: haloes; MASS ASSEMBLY GAMA; ARTIFICIAL NEURAL-NETWORKS; DARK-MATTER HALOES; LAMBDA-CDM; MILKY; ANISOTROPY; VELOCITY; CATALOG; DISTRIBUTIONS; ENVIRONMENT;
D O I：
10.1093/mnras/sty1536
中图分类号：
P1 [天文学];
学科分类号：
0704 ;
摘要：
We present a new scheme, GALTAG, for refining the photometric redshift measurements of faint galaxies by probabilistically tagging them to observed galaxy groups constructed from a brighter, magnitude-limited spectroscopy survey. First, this method is tested on the DESI light-cone data constructed on the GALFORM galaxy formation model to tests its validity. We then apply it to the photometric observations of galaxies in the Kilo-Degree Imaging Survey (KiDS) over a 1 deg(2) region centred at 15(h). This region contains Galaxy and Mass Assembly (GAMA) deep spectroscopic observations (i band< 22) and an accompanying group catalogue to r band < 19.8. We demonstrate that even with some trade-off in sample size, an order of magnitude improvement on the accuracy of photometric redshifts is achievable when using GALTAG. This approach provides both refined photometric redshift measurements and group richness enhancement. In combination these products will hugely improve the scientific potential of both photometric and spectroscopic data sets. The GALTAG software will be made publicly available at https://github.com/pkaf/galtag.git.
引用
收藏
页码：3746 / 3758
页数：13
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