Gravitationally lensed quasars in Gaia: III. 22 new lensed quasars from Gaia Data Release 2

TL;DR

This paper reports the discovery and spectroscopic confirmation of 22 new gravitationally lensed quasars using Gaia Data Release 2, employing multiple detection techniques and analyzing their properties for future statistical studies.

Contribution

The study introduces new techniques for identifying lensed quasars in Gaia data and provides a substantial new sample with spectroscopic confirmation, enhancing the statistical understanding of lensing systems.

Findings

22 new confirmed lensed quasars from Gaia data

Identification of a quadruply imaged system suitable for time delay monitoring

Demonstration of techniques to recover known lenses with high efficiency

Abstract

We report the discovery and spectroscopic confirmation of 22 new gravitationally lensed quasars found using $\textit{Gaia}$ data release 2. The selection was made using several techniques: multiple $\textit{Gaia}$ detections around objects in quasar candidate catalogues, modelling of unWISE coadd pixels using $\textit{Gaia}$ astrometry, and $\textit{Gaia}$ detections offset from photometric and spectroscopic galaxies. Spectra of 33 candidates were obtained with the William Herschel Telescope, 22 of which are lensed quasars, 2 highly probably lensed quasars, 5 nearly identical quasar pairs, 1 inconclusive system, and 3 contaminants. Of the 3 confirmed quadruply imaged systems, J2145+6345 is a 2.1 arcsecond separation quad with 4 bright images ($G$=16.86, 17.26, 18.34, 18.56), making it ideal for time delay monitoring. Analysing this new sample alongside known lenses in the Pan-STARRS footprint, and comparing to expected numbers of lenses, we show that, as expected, we are biased towards systems with bright lensing galaxies and low source redshifts. We discuss possible techniques to remove this bias from future searches. A |b|>20 complete sample of lensed quasars detected by $\textit{Gaia}$ and with image separations above 1 arcsecond will provide a valuable statistical sample of around 350 systems. Currently only 96 known lenses satisfy these criteria, yet promisingly, our unWISE modelling technique is able to recover all of these with simple WISE-$\textit{Gaia}$ colour cuts that remove $\sim$80 per cent of previously followed-up contaminants. Finally, we provide an online database of known lenses, quasar pairs, and contaminant systems.