VDES J2325-5229 a z=2.7 gravitationally lensed quasar discovered using morphology independent supervised machine learning

Abstract

We present the discovery and preliminary characterization of a gravitationally lensed quasar with a source redshift $z_s=2.74$ and image separation of $2.9"$ lensed by a foreground $z_l=0.40$ elliptical galaxy. Since the images of gravitationally lensed quasars are the superposition of multiple point sources and a foreground lensing galaxy, we have developed a morphology independent multi-wavelength approach to the photometric selection of lensed quasar candidates based on Gaussian Mixture Models (GMM) supervised machine learning. Using this technique and $gi$ multicolour photometric observations from the Dark Energy Survey (DES), near IR $JK$ photometry from the VISTA Hemisphere Survey (VHS) and WISE mid IR photometry, we have identified a candidate system with two catalogue components with $i_{AB}=18.61$ and $i_{AB}=20.44$ comprised of an elliptical galaxy and two blue point sources. Spectroscopic follow-up with NTT and the use of an archival AAT spectrum show that the point sources can be identified as a lensed quasar with an emission line redshift of $z=2.739\pm 0.003$ and a foreground early type galaxy with $z=0.400\pm 0.002$. We model the system as a single isothermal ellipsoid and find the Einstein radius $\hat{I}{¸}_E\sim 1.47"$, enclosed mass $M_{enc}\sim 4\times 10^{11}$M${}_{\odot }$ and a time delay of $\sim$52 days. The relatively wide separation, month scale time delay duration and high redshift make this an ideal system for constraining the expansion rate beyond a redshift of 1.

11 pages, 7 figures, 7 tables, MNRAS accepted