A complete search for redshift z>6.5 quasars in the VIKING survey
R. Barnett, S. J. Warren, N. J. G. Cross, D. J. Mortlock, X. Fan, F., Wang, P. C. Hewett

TL;DR
This study conducts a comprehensive search for quasars at redshifts greater than 6.5 in the VIKING survey, employing a Bayesian model comparison method that reduces false positives and compares favorably to other selection techniques.
Contribution
First complete high-redshift quasar sample from VIKING survey using Bayesian model comparison, with detailed method comparison and analysis of contaminant populations.
Findings
BMC reduces false positives by eight times compared to colour cuts.
BMC reaches 0.3 mag deeper than colour cuts.
The minimum-$\\chi^2$ method is efficient but less deep, finding only one known quasar.
Abstract
We present the results of a new, deeper, and complete search for high-redshift quasars over 977deg of the VISTA Kilo-Degree Infrared Galaxy (VIKING) survey. This exploits a new list-driven dataset providing photometry in all bands ZYJHKs, for all sources detected by VIKING in . We use the Bayesian model comparison (BMC) selection method of Mortlock et al., producing a ranked list of just 21 candidates. The sources ranked 1, 2, 3 and 5 are the four known quasars in this field. Additional observations of the other 17 candidates, primarily DESI Legacy Survey photometry and ESO FORS2 spectroscopy, confirm that none is a quasar. This is the first complete sample from the VIKING survey, and we provide the computed selection function. We include a detailed comparison of the BMC method against two other selection methods: colour cuts and minimum- SED fitting.…
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