2013
DOI: 10.1088/0004-637x/778/2/127
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Dust Reddened Quasars in First and Ukidss: Beyond the Tip of the Iceberg

Abstract: We present the results of a pilot survey to find dust-reddened quasars by matching the Faint Images of the Radio Sky at Twenty-Centimeters (FIRST) radio catalog to the UKIDSS near-infrared survey and using optical data from Sloan Digital Sky Survey to select objects with very red colors. The deep K-band limit provided by UKIDSS allows for finding more heavily reddened quasars at higher redshifts as compared with previous work using FIRST and Two Micron All Sky Survey (2MASS). We selected 87 candidates with K 1… Show more

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Cited by 51 publications
(88 citation statements)
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References 91 publications
(156 reference statements)
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“…Although the presence of broad emission lines is a characteristic of optical type 1 AGNs, in some cases it is difficult to detect broad lines due to obscuration in the optical spectral range (e.g., red AGNs) or intrinsically low luminosity diluted by host galaxy emission (e.g., Simpson 2005;Gilkman et al 2007Gilkman et al , 2013Woo et al 2014;Oh et al 2015;Kim et al 2015). Several studies tried to find hidden type 1 AGNs using different methods.…”
Section: Discussion : Comparison With Previous Workmentioning
confidence: 99%
“…Although the presence of broad emission lines is a characteristic of optical type 1 AGNs, in some cases it is difficult to detect broad lines due to obscuration in the optical spectral range (e.g., red AGNs) or intrinsically low luminosity diluted by host galaxy emission (e.g., Simpson 2005;Gilkman et al 2007Gilkman et al , 2013Woo et al 2014;Oh et al 2015;Kim et al 2015). Several studies tried to find hidden type 1 AGNs using different methods.…”
Section: Discussion : Comparison With Previous Workmentioning
confidence: 99%
“…We focused on observed quantities to explore the parameter space in which different classes of objects live. R W1 -is well correlated with R−K, an oft-used reddened AGN selection criterion (e.g., Brusa et al 2005;Glikman et al 2007Glikman et al , 2012Glikman et al , 2013Georgakakis et al 2009;Banerji et al 2012Banerji et al , 2015, and is thus helpful in such searches where K-band coverage deeper than 2MASS is lacking. Though R W1 -identifies AGNs similar to those selected based on R−K and R 3.6 m [ ] m -colors, the full-sky coverage of WISE, 35% sky coverage of SDSS, and 50% sky coverage of Pan-STARRsmake R W1 -a particularly suitable diagnostic to identify interesting AGN candidates for spectroscopic follow-up over a much larger area of the sky.…”
Section: Discussionmentioning
confidence: 99%
“…Thus, an object that is optically faint while being infrared bright is a candidate hidden black hole. For instance, an oft-used diagnostic to identify red quasars is a color of R K -> 4-5 (Glikman et al 2004); this has been quite successful in identifying samples of reddened AGNs that are missed by optical-only surveys (e.g., Brusa et al 2005Brusa et al , 2015Glikman et al 2007Glikman et al , 2012Glikman et al , 2013Georgakakis et al 2009;Banerji et al 2012Banerji et al , 2015.…”
Section: Selecting Reddened Broad-lined Agnsmentioning
confidence: 99%
“…However, they have been found to be systematically biased against It it therefore important to understand to what extent various quasar samples suffer from biases against dust-reddened systems and quasars at high redshifts so that we can build more complete and representative samples. A large number of studies targeting reddened quasars have been executed in the past two decades (see, e.g., Webster et al 1995;Warren et al 2000;Gregg et al 2002;Richards et al 2003;Hopkins et al 2004;Glikman et al 2007Glikman et al , 2012Glikman et al , 2013Maddox et al 2008Maddox et al , 2012Urrutia et al 2009;Banerji et al 2012;Fynbo et al 2013;Krogager et al 2015), all trying to probe this underrepresented subset of quasars using a range of selection techniques that are less sensitive to dust obscuration. With the advent of large-area near-and mid-infrared surveys such as UKIDSS, WISE, and Spitzer (Wright et al 2010;Cutri & et al 2013;Lawrence et al 2007;Warren et al 2007;Werner et al 2004;Fazio et al 2004), the selection of quasars based on infrared (IR) photometry alone has been made possible as well (Donley et al 2008(Donley et al , 2012Peth et al 2011;Stern et al 2012;Mateos et al 2012;Secrest et al 2015).…”
Section: Introductionmentioning
confidence: 99%