SDSS quasars in the WISE preliminary data release and quasar candidate selection with optical/infrared colors
Xue-Bing Wu, Guoqiang Hao, Zhendong Jia, Yanxia Zhang, Nanbo Peng

TL;DR
This paper presents a comprehensive catalog of SDSS quasars with WISE counterparts, introduces new color-based criteria for quasar-star separation, and improves photometric redshift estimates using combined optical and infrared data.
Contribution
It develops novel color criteria for efficient quasar selection and enhances photometric redshift accuracy by integrating WISE infrared data with optical surveys.
Findings
WISE detection rate of SDSS quasars is 86.7%
Adding WISE data increases photometric redshift reliability from 70.3% to 77.2%
New color criteria recover 98.6% of certain SDSS-WISE quasars and separate quasars from stars effectively
Abstract
We present a catalog of 37,842 quasars in the SDSS Data Release 7, which have counterparts within 6" in the WISE Preliminary Data Release. The overall WISE detection rate of the SDSS quasars is 86.7%, and it decreases to less than 50.0% when the quasar magnitude is fainter than . We derive the median color-redshift relations based on this SDSS-WISE quasar sample and apply them to estimate the photometric redshifts of the SDSS-WISE quasars. We find that by adding the WISE W1- and W2-band data to the SDSS photometry we can increase the photometric redshift reliability, defined as the percentage of sources with the photometric and spectroscopic redshift difference less than 0.2, from 70.3% to 77.2%. We also obtain the samples of WISE-detected normal and late-type stars with SDSS spectroscopy, and present a criterion in the versus color-color diagram,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
