Astrometric Microlensing Events Predicted from Gaia DR2

From the Gaia DR2 catalogue we predict astrometric microlensing events by foreground stars with high proper motion (µ_tot >150mas/yr) passing a background source in the next decades. Using Gaia DR2 photometry we determine an approximate mass of the lens, which we use to calculate the expected microlensing effects. This yields 3914 microlensing events by 2875 different lenses between 2010 and 2065 with expected shifts larger than 0.1 mas between the lensed and unlensed positions of the source. 513 of those are expected to happen between 2014.5 - 2026.5 and might be measured by Gaia. For 127 events we also expect a magnification between 1 mmag and 3 mag.

Identifier
Source https://dc.g-vo.org/rr/q/lp/custom/org.gavo.dc/amlensing/q2/q
Related Identifier http://dc.g-vo.org/amlensing/q2/q/info
Related Identifier http://dc.g-vo.org/amlensing/q2/q/form
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://org.gavo.dc/amlensing/q2/q
Provenance
Creator Klüter, J.; Demleitner, M.; Proft, S.
Instrument Gaia
Publisher The GAVO DC team
Publication Year 2018
Rights To the extent possible under law, the publisher has waived all copyright and related or neighboring rights to the catalogue of astrometric microlensing events. For details, see the `Creative Commons CC0 1.0 Public Domain dedication <http://creativecommons.org/publicdomain/zero/1.0/>`_. Of course, you should still give proper credit when using this data as required by good scientific practice. .. image:: /static/img/cc0.png :alt: [CC0]; https://spdx.org/licenses/CC0-1.0.html; This work has made use of data from the European Space Agency (ESA) mission `Gaia <https://www.cosmos.esa.int/gaia>`_, processed by the Gaia Data Processing and Analysis Consortium (`DPAC <https://www.cosmos.esa.int/web/gaia/dpac/consortium>`_). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement.
OpenAccess true
Contact GAVO Data Centre Team <gavo(at)ari.uni-heidelberg.de>
Representation
Resource Type Dataset; AstroObjects
Discipline Astrophysical Processes; Astrophysics and Astronomy; Natural Sciences; Observational Astronomy; Physics