SIMBAD references

2015ApJS..219...39R - Astrophys. J., Suppl. Ser., 219, 39 (2015/August-0)

Bayesian high-redshift quasar classification from optical and Mid-IR photometry.

RICHARDS G.T., MYERS A.D., PETERS C.M., KRAWCZYK C.M., CHASE G., ROSS N.P., FAN X., JIANG L., LACY M., McGREER I.D., TRUMP J.R. and RIEGEL R.N.

Abstract (from CDS):

We identify 885,503 type 1 quasar candidates to i ≲(c) 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.

Abstract Copyright:

Journal keyword(s): catalogs - infrared: galaxies - methods: statistical - quasars: general

VizieR on-line data: <Available at CDS (J/ApJS/219/39): master.dat cand.dat>

Status at CDS : All or part of tables of objects will not be ingested in SIMBAD.

Simbad objects: 4

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