144 citations · 1.1k across the 21 of their papers we have counts for
30 papers · 1 filter
A self-consistent dynamical model of the Milky Way disc adjusted to Gaia data
A. C. Robin, O. Bienaymé, J. B. Salomon +6
This paper shows how a self-consistent dynamical model can be obtained by fitting the gravitational potential of the Milky Way to the stellar kinematics and densities from Gaia dat…
3D extinction mapping of the Milky Way using Convolutional Neural Networks: Presentation of the method and demonstration in the Carina Arm region
D. Cornu, J. Montillaud, D. J. Marshall +2
Context. Several methods have been proposed to build 3D extinction maps of the Milky Way (MW), most often based on Bayesian approaches. Although some studies employed machine learn…
APOGEE-2 Discovery of a Large Population of Relatively High-Metallicity Globular Cluster Debris
José G. Fernández-Trincado, Timothy C. Beers, Anna. B. A. Queiroz +13
We report the discovery of a new, chemically distinct population of relatively high-metallicity ([Fe/H] ) red giant stars with super-solar [N/Fe] () identifi…
Deciphering the evolution of the Milky Way discs: Gaia APOGEE Kepler giant stars and the Besançon Galaxy Model
N. Lagarde, C. Reylé, C. Chiappini +13
We investigate the properties of the double sequences of the Milky Way discs visible in the [/Fe] vs [Fe/H] diagram. In the framework of Galactic formation and evolution, we dis…
Gaia Early Data Release 3: Structure and properties of the Magellanic Clouds
Gaia Collaboration, X. Luri, L. Chemin +417
We compare the Gaia DR2 and Gaia EDR3 performances in the study of the Magellanic Clouds and show the clear improvements in precision and accuracy in the new release. We also show…
Gaia Early Data Release 3: The Galactic anticentre
Gaia Collaboration, T. Antoja, P. McMillan +417
We aim to demonstrate the scientific potential of the Gaia Early Data Release 3 (EDR3) for the study of the Milky Way structure and evolution. We used astrometric positions, proper…