Quasar photometric redshifts and candidate selection: A new algorithm based on optical and mid-infrared photometric data

Qian Yang, Xue Bing Wu, Xiaohui Fan, Linhua Jiang, Ian McGreer, Richard Green, Jinyi Yang, Jan Torge Schindler, Feige Wang, Wenwen Zuo, Yuming Fu

Research output: Contribution to journalArticle

7 Scopus citations

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, /Δz/ = /zs - zp/ (1 + 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 Besançon 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 0.5 < z < 4.5, and a wide magnitude range 18 < r < 21.5 mag. Our photo-z regression and classification method has the potential to extend to future surveys. The photo-z code will be publicly available.

Original languageEnglish (US)
Article number269
JournalAstronomical Journal
Volume154
Issue number6
DOIs
StatePublished - Dec 2017

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Keywords

  • Catalogs
  • Cosmology: observations
  • Galaxies: distances and redshifts
  • Methods: statistical
  • Quasars: general

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Space and Planetary Science

Cite this

Yang, Q., Wu, X. B., Fan, X., Jiang, L., McGreer, I., Green, R., Yang, J., Schindler, J. T., Wang, F., Zuo, W., & Fu, Y. (2017). Quasar photometric redshifts and candidate selection: A new algorithm based on optical and mid-infrared photometric data. Astronomical Journal, 154(6), [269]. https://doi.org/10.3847/1538-3881/aa943c