中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Quasar Photometric Redshifts and Candidate Selection: A New Algorithm Based on Optical and Mid-infrared Photometric Data

文献类型:期刊论文

作者Yang,Qian1,2,3; Wu,Xue-Bing2,3; Fan,Xiaohui1,3; Jiang,Linhua3; McGreer,Ian1; Green,Richard1; Yang,Jinyi2,3; Schindler,Jan-Torge1; Wang,Feige2,3; Zuo,Wenwen4
刊名The Astronomical Journal
出版日期2017-12-01
卷号154期号:6
ISSN号0004-6256
关键词catalogs cosmology: observations galaxies: distances and redshifts methods: statistical quasars: general
DOI10.3847/1538-3881/aa943c
英文摘要Abstract We present a new algorithm to estimate quasar photometric redshifts (photo-zs), by considering the asymmetries in the relative flux distributions of quasars. The relative flux models are built with multivariate Skew-t distributions in the multidimensional space of relative fluxes as a function of redshift and magnitude. For 151,392 quasars in the SDSS, we achieve a photo-z accuracy, defined as the fraction of quasars with the difference between the photo-z zp and the spectroscopic redshift zs, within 0.1, of 74%. Combining the WISE W1 and W2 infrared data with the SDSS data, the photo-z accuracy is enhanced to 87%. Using the Pan-STARRS1 or DECaLS photometry with WISE W1 and W2 data, the photo-z accuracies are 79% and 72%, respectively. The prior probabilities as a function of magnitude for quasars, stars, and galaxies are calculated, respectively, based on (1) the quasar luminosity function, (2) the Milky Way synthetic simulation with the Besan?on model, and (3) the Bayesian Galaxy Photometric Redshift estimation. The relative fluxes of stars are obtained with the Padova isochrones, and the relative fluxes of galaxies are modeled through galaxy templates. We test our classification method to select quasars using the DECaLS g, r, z, and WISE W1 and W2 photometry. The quasar selection completeness is higher than 70% for a wide redshift range , and a wide magnitude range mag. Our photo-z regression and classification method has the potential to extend to future surveys. The photo-z code will be publicly available.
语种英语
出版者The American Astronomical Society
WOS记录号IOP:0004-6256-154-6-AA943C
源URL[http://119.78.226.72/handle/331011/32095]  
专题中国科学院上海天文台
作者单位1.Steward Observatory, University of Arizona, 933 North Cherry Avenue, Tucson, AZ 85721, USA
2.Department of Astronomy, School of Physics, Peking University, Beijing 100871, China
3.Kavli Institute for Astronomy and Astrophysics, Peking University, Beijing 100871, China
4.Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, China
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GB/T 7714
Yang,Qian,Wu,Xue-Bing,Fan,Xiaohui,et al. Quasar Photometric Redshifts and Candidate Selection: A New Algorithm Based on Optical and Mid-infrared Photometric Data[J]. The Astronomical Journal,2017,154(6).
APA Yang,Qian.,Wu,Xue-Bing.,Fan,Xiaohui.,Jiang,Linhua.,McGreer,Ian.,...&Fu,Yuming.(2017).Quasar Photometric Redshifts and Candidate Selection: A New Algorithm Based on Optical and Mid-infrared Photometric Data.The Astronomical Journal,154(6).
MLA Yang,Qian,et al."Quasar Photometric Redshifts and Candidate Selection: A New Algorithm Based on Optical and Mid-infrared Photometric Data".The Astronomical Journal 154.6(2017).

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来源:上海天文台

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