4.6 Article

Gaia GraL: Gaia DR2 gravitational lens systems I. New quadruply imaged quasar candidates around known quasars

期刊

ASTRONOMY & ASTROPHYSICS
卷 616, 期 -, 页码 -

出版社

EDP SCIENCES S A
DOI: 10.1051/0004-6361/201833337

关键词

gravitational lensing: strong; quasars: general; astrometry; methods: data analysis; catalogs; surveys

资金

  1. Portuguese Fundacao para a Ciencia e a Tecnologia (FCT) [SFRH/BPD/74697/2010]
  2. Portuguese Strategic Programme [UID/FIS/00099/2013]
  3. ESA contract [AO/1-7836/14/NL/HB]
  4. Caltech Division of Physics, Mathematics and Astronomy
  5. ESA PRODEX Programme Gaia-DPAC QSOs
  6. Belgian Federal Science Policy Office
  7. Humboldt Research Fellowship for Postdoctoral Researchers
  8. NSF [AST-1413600, AST-1518308]
  9. NASA [16-ADAP16-0232]
  10. Actions sur projet INSU-PNGRAM
  11. Brazil-France exchange programme Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP)
  12. Brazil-France exchange programme Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES) - Comite Francais d'Evaluation de la Cooperation Universitaire et Scientifique avec le Bresil (COFECUB)
  13. Brazilian agency FAPESP [2009/54006-4]
  14. INCT-A

向作者/读者索取更多资源

Context. Multiply imaged gravitationally lensed quasars are among the most interesting and useful observable extragalactic phenomena. Because their study constitutes a unique tool in various fields of astronomy, they are highly sought, but di ffi cult to find. Even in this era of all-sky surveys, discovering them remains a great challenge, with barely a few hundred systems currently known. Aims. We aim to discover new multiply imaged quasar candidates in the recently published Gaia Data Release 2 (DR2), which is the astrometric and photometric all-sky survey with the highest spatial resolution that achieves e ff ective resolutions from 0.4 to 2.2. Methods. We cross-matched a merged list of quasars and candidates with Gaia DR2 and found 1 839 143 counterparts within 0.5 00. We then searched matches with more than two Gaia DR2 counterparts within 6 00. We further narrowed the resulting list using astrometry and photometry compatibility criteria between the Gaia DR2 counterparts. A supervised machine-learning method, called extremely randomized trees, was finally adopted to assign a probability of being lensed to each remaining system. Results. We report the discovery of two quadruply imaged quasar candidates that are fully detected in Gaia DR2. These are the most promising new quasar lens candidates from Gaia DR2 and a simple singular isothermal ellipsoid lens model is able to reproduce their image positions to within similar to 1 mas. This Letter demonstrates the discovery potential of Gaia for gravitational lenses.

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