| Title | BAYESIAN HIGH-REDSHIFT QUASAR CLASSIFICATION FROM OPTICAL AND MID-IR PHOTOMETRY |
| Authors | Richards, Gordon T. Myers, Adam D. Peters, Christina M. Krawczyk, Coleman M. Chase, Greg Ross, Nicholas P. Fan, Xiaohui Jiang, Linhua Lacy, Mark McGreer, Ian D. Trump, Jonathan R. Riegel, Ryan N. |
| Affiliation | Drexel Univ, Dept Phys, Philadelphia, PA 19104 USA. Max Planck Inst Astron, D-69117 Heidelberg, Germany. Univ Wyoming, Dept Phys & Astron, Laramie, WY 82071 USA. Univ Arizona, Steward Observ, Tucson, AZ 85721 USA. Peking Univ, Kavli Inst Astron & Astrophys, Beijing 100871, Peoples R China. Natl Radio Astron Observ, Charlottesville, VA 22903 USA. Penn State Univ, Dept Astron & Astrophys, Davey Lab 525, University Pk, PA 16802 USA. Skytree Inc, San Jose, CA 95110 USA. Drexel Univ, Dept Phys, 3141 Chestnut St, Philadelphia, PA 19104 USA. |
| Keywords | catalogs infrared: galaxies methods: statistical quasars: general DIGITAL-SKY-SURVEY ACTIVE GALACTIC NUCLEI OSCILLATION SPECTROSCOPIC SURVEY SPITZER-SPACE-TELESCOPE ARRAY CAMERA IRAC WIDE-FIELD SURVEY 9TH DATA RELEASE SDSS-III MIDINFRARED SELECTION LUMINOSITY FUNCTION |
| Issue Date | 2015 |
| Publisher | ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES |
| Citation | ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES.2015,219,(2). |
| Abstract | We identify 885,503 type 1 quasar candidates to i less than or similar to 22 using the combination of optical and mid-IR photometry. Optical photometry is taken from the Sloan Digital Sky Survey-III: Baryon Oscillation Spectroscopic Survey (SDSS-III/BOSS), while mid-IR photometry comes from a combination of data from the Wide-field Infrared Survey Explorer (WISE) "AllWISE" data release and several large-area Spitzer Space Telescope fields. Selection is based on a Bayesian kernel density algorithm with a training sample of 157,701 spectroscopically confirmed type. 1 quasars with both optical and mid-IR data. Of the quasar candidates, 733,713 lack spectroscopic confirmation (and 305,623 are objects that we have not previously classified as photometric quasar candidates). These candidates include 7874 objects targeted as high-probability potential quasars with 3.5 < z < 5 (of which 6779 are new photometric candidates). Our algorithm is more complete to z > 3.5 than the traditional mid-IR selection "wedges" and to 2.2 < z < 3.5 quasars than the SDSS-III/BOSS project. Number counts and luminosity function analysis suggest. that the resulting catalog is relatively complete to known quasars and is identifying new high-z quasars at z > 3. This catalog paves the way for luminosity-dependent clustering investigations of large numbers of faint, high-redshift quasars and for further machine-learning quasar selection using Spitzer and WISE data combined with other large-area optical imaging surveys. |
| URI | http://hdl.handle.net/20.500.11897/417533 |
| ISSN | 0067-0049 |
| DOI | 10.1088/0067-0049/219/2/39 |
| Indexed | SCI(E) |
| Appears in Collections: | 科维理天文与天体物理研究所 |
