2017
DOI: 10.1017/s1743921317006445
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Multiply imaged quasars in the Gaia DR1

Abstract: Because of to its exceptional resolving power, Gaia should detect a few thousands gravitational lensed systems. These consist in multiple images of background quasars. The estimated number of lens phenomena in the sky, however, depends on the cosmological model considered. By taking into account the observational bias that will restrict the detection of lensed quasars, identification of these up to a given limiting magnitude will constrain the cosmological parameters.We have investigated the known gravitationa… Show more

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Cited by 3 publications
(2 citation statements)
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“…The first Gaia data release, on 14 September 2016, catalogued known lensed quasars within its brightness threshold, but it rarely catalogued all images (Lemon et al 2017;Ducourant et al 2018b). The second Gaia data release (GDR2, Gaia Collaboration et al 2018), on 25 April 2018, has a marked improvement in detecting closely separated images, down to 0.4 arcseconds (Arenou et al 2018).…”
Section: Introductionmentioning
confidence: 99%
“…The first Gaia data release, on 14 September 2016, catalogued known lensed quasars within its brightness threshold, but it rarely catalogued all images (Lemon et al 2017;Ducourant et al 2018b). The second Gaia data release (GDR2, Gaia Collaboration et al 2018), on 25 April 2018, has a marked improvement in detecting closely separated images, down to 0.4 arcseconds (Arenou et al 2018).…”
Section: Introductionmentioning
confidence: 99%
“…This selection method follows that of Lemon et al (2018), relying on multiple Gaia detections near WISE -selected candidate quasars, or single Gaia detections corresponding to extended DES objects. The latter technique was developed on account of Gaia DR1 often cataloguing only single components of lensed quasars (Ducourant et al 2018). The input catalogue for both searches is AllWISE detections with W1 −W2 >0.5, W1 <15.5, and catalogued uncertainties in W1 and W2.…”
Section: Methodsmentioning
confidence: 99%