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Gaia GraL: Gaia DR2 Gravitational Lens Systems. VI. Spectroscopic Confirmation and Modeling of Quadruply-Imaged Lensed Quasars

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arxiv 2012.10051 v1 pith:G24KCMPL submitted 2020-12-18 astro-ph.GA

Gaia GraL: Gaia DR2 Gravitational Lens Systems. VI. Spectroscopic Confirmation and Modeling of Quadruply-Imaged Lensed Quasars

D. Stern , S. G. Djorgovski , A. Krone-Martins , D. Sluse , L. Delchambre , C. Ducourant , R. Teixeira , J. Surdej
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C. Boehm J. den Brok D. Dobie A. Drake L. Galluccio M. J. Graham P. Jalan J. Klark J. F. LeCampion A. Mahabal F. Mignard T. Murphy A. Nierenberg S. Scarano J. Simon E. Slezak C. Spindola-Duarte J. Wambsganss
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keywords gaiaquasarslensedquadruply-imagedspectroscopiccandidateconfirmedgral
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Combining the exquisite angular resolution of Gaia with optical light curves and WISE photometry, the Gaia Gravitational Lenses group (GraL) uses machine learning techniques to identify candidate strongly lensed quasars, and has confirmed over two dozen new strongly lensed quasars from the Gaia Data Release 2. This paper reports on the 12 quadruply-imaged quasars identified by this effort to date, which is approximately a 20% increase in the total number of confirmed quadruply-imaged quasars. We discuss the candidate selection, spectroscopic follow-up, and lens modeling. We also report our spectroscopic failures as an aid for future investigations.

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    A fully connected network trained on millions of simulated quads predicts SIE lens mass and ellipticity from four image positions, cutting optimisation time for real and simulated quadruply lensed quasars to minutes.