Quasar Probabilities and Redshifts from WISE mid-IR through GALEX UV Photometry
M.A. DiPompeo, J. Bovy, A.D. Myers, D. Lang

TL;DR
This paper develops a probabilistic method combining WISE mid-infrared and GALEX UV photometry with SDSS data to improve quasar identification and redshift estimation, resulting in a large catalog and enhanced selection efficiency.
Contribution
It introduces an all-sky WISE-inclusive XDQSOz model for better quasar classification and redshift estimation, surpassing traditional color-cut methods.
Findings
WISE+SDSS data improves quasar detection at z>2
The new catalog contains over 5 million potential quasars
The method outperforms simple WISE color-cuts in completeness and efficiency
Abstract
Extreme deconvolution (XD) of broad-band photometric data can both separate stars from quasars and generate probability density functions for quasar redshifts, while incorporating flux uncertainties and missing data. Mid-infrared photometric colors are now widely used to identify hot dust intrinsic to quasars, and the release of all-sky WISE data has led to a dramatic increase in the number of IR-selected quasars. Using forced-photometry on public WISE data at the locations of SDSS point sources, we incorporate this all-sky data into the training of the XDQSOz models originally developed to select quasars from optical photometry. The combination of WISE and SDSS information is far more powerful than SDSS alone, particularly at . The use of SDSSWISE photometry is comparable to the use of SDSSultravioletnear-IR data. We release a new public catalogue of 5,537,436 (total;…
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