THE SLOAN DIGITAL SKY SURVEY CO-ADD: A GALAXY PHOTOMETRIC REDSHIFT CATALOG

被引：31
作者：
Reis, Ribamar R. R. [1 ,2 ]
Soares-Santos, Marcelle [1 ,3 ]
Annis, James [1 ]
Dodelson, Scott [1 ,4 ,5 ]
Hao, Jiangang [1 ]
Johnston, David [1 ]
Kubo, Jeffrey [1 ]
Lin, Huan [1 ]
Seo, Hee-Jong [6 ,7 ]
Simet, Melanie [4 ]
机构：
[1] Fermilab Natl Accelerator Lab, Ctr Particle Astrophys, Batavia, IL 60510 USA
[2] Univ Fed Rio de Janeiro, Inst Fis, BR-21941972 Rio De Janeiro, RJ, Brazil
[3] Univ Sao Paulo, Inst Astron Geofis & Ciencias Atmosfer, BR-05508090 Sao Paulo, Brazil
[4] Univ Chicago, Dept Astron & Astrophys, Chicago, IL 60637 USA
[5] Kavli Inst Cosmol Phys, Chicago, IL 60637 USA
[6] Univ Calif Berkeley, Berkeley Ctr Cosmol Phys, LBL, Berkeley, CA 94720 USA
[7] Univ Calif Berkeley, Dept Phys, Berkeley, CA 94720 USA
来源：
ASTROPHYSICAL JOURNAL | 2012年 / 747卷 / 01期
基金：
美国国家科学基金会; 美国国家航空航天局;
关键词：
catalogs; galaxies: distances and redshifts; SPECTROSCOPIC TARGET SELECTION; EARLY DATA RELEASE; NEURAL-NETWORK; SDSS; SYSTEM; SAMPLE; CLASSIFICATION; PARAMETERS; TELESCOPE; MONITOR;
D O I：
10.1088/0004-637X/747/1/59
中图分类号：
P1 [天文学];
学科分类号：
0704 ;
摘要：
We present and describe a catalog of galaxy photometric redshifts (photo-z) for the Sloan Digital Sky Survey (SDSS) Co-add Data. We use the artificial neural network (ANN) technique to calculate the photo-z and the nearest neighbor error method to estimate photo-z errors for similar to 13 million objects classified as galaxies in the co-add with r < 24.5. The photo-z and photo-z error estimators are trained and validated on a sample of similar to 83,000 galaxies that have SDSS photometry and spectroscopic redshifts measured by the SDSS Data Release 7 (DR7), the Canadian Network for Observational Cosmology Field Galaxy Survey, the Deep Extragalactic Evolutionary Probe Data Release 3, the VIsible imaging Multi-Object Spectrograph-Very Large Telescope Deep Survey, and the WiggleZ Dark Energy Survey. For the best ANN methods we have tried, we find that 68% of the galaxies in the validation set have a photo-z error smaller than sigma(68) = 0.031. After presenting our results and quality tests, we provide a short guide for users accessing the public data.
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页数：11
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