2018
DOI: 10.1093/mnrasl/sly066
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A predicted astrometric microlensing event by a nearby white dwarf

Abstract: We used the Tycho-Gaia Astrometric Solution catalogue, part of Gaia Data Release 1, to search for candidate astrometric microlensing events expected to occur within the remaining lifetime of the Gaia satellite. Our search yielded one promising candidate. We predict that the nearby DQ type white dwarf LAWD 37 (WD 1142-645) will lens a background star and will reach closest approach on November 11th 2019 (± 4 days) with impact parameter 380 ± 10 mas. This will produce an apparent maximum deviation of the source … Show more

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Cited by 31 publications
(27 citation statements)
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“…A further source that passes multiple background sources is the white dwarf LAWD 37, for which we assume a mass of 0.65 M . Its most promising event, which was first predicted by McGill et al (2018), is in November 2019. McGill et al (2018) also mention that Gaia might be able to determine the mass with an accuracy of 3%, however this was done without knowing the scanning law for the extended mission.…”
Section: Multiple Background Sourcesmentioning
confidence: 99%
See 2 more Smart Citations
“…A further source that passes multiple background sources is the white dwarf LAWD 37, for which we assume a mass of 0.65 M . Its most promising event, which was first predicted by McGill et al (2018), is in November 2019. McGill et al (2018) also mention that Gaia might be able to determine the mass with an accuracy of 3%, however this was done without knowing the scanning law for the extended mission.…”
Section: Multiple Background Sourcesmentioning
confidence: 99%
“…Its most promising event, which was first predicted by McGill et al (2018), is in November 2019. McGill et al (2018) also mention that Gaia might be able to determine the mass with an accuracy of 3%, however this was done without knowing the scanning law for the extended mission. We expect an uncertainty for the mass determination by Gaia of 0.12 M , which corresponds to 19%.…”
Section: Multiple Background Sourcesmentioning
confidence: 99%
See 1 more Smart Citation
“…That is, we must determine when a foreground lens will align closely enough with a background source to produce a detectable microlensing effect. Gaia data has proven ideal for predicting astrometric microlensing events (McGill et al 2018;Bramich 2018, hereafter B18). In particular, data release 2, which provides excellent astrometric solutions for ∼ 1.7 billion objects (Gaia Collaboration et al 2018, hereafter GDR2), has opened up the flood gates.…”
Section: Introductionmentioning
confidence: 99%
“…Nowadays the most precise predictions make use of astrometric data from the Gaia satellite (Gaia Collaboration et al 2016). Using Gaia DR1, the first data release, McGill et al (2018) predicted one event caused by a white dwarf in 2019. With the second Gaia data release (Gaia DR2, Gaia Collaboration et al 2018) about 5700 events were predicted, either by using solely Gaia DR2 (Klüter et al 2018a;Bramich 2018;Klüter et al 2018b;McGill et al 2019b) or by combining it with additional catalogues McGill et al 2019a), such as Pan-STARRS (Chambers et al 2016) 1 , or VVV, (Minniti et al 2010) 2 , respectively.…”
Section: Introductionmentioning
confidence: 99%