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Astrophysical parameters from Gaia DR2, 2MASS, and AllWISE

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Physical and dynamical stellar properties are essential knowledge for understanding the structure, formation, and evolution of our Galaxy. We produced a uniformly derived all-sky catalog of stellar astrophysical parameters (APs; age, mass, temperature, bolometric luminosity, distance, and dust extin...

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Main Authors: Fouesneau, Morgan (Author) , Andrae, René (Author) , Dharmawardena, Thavisha (Author) , Rybizki, Jan (Author) , Bailer-Jones, Coryn A. L. (Author) , Demleitner, Markus (Author)
Format: Article (Journal)
Language:English
Published: 30 June 2022
In: Astronomy and astrophysics
Year: 2022, Volume: 662, Pages: 1-22
ISSN:1432-0746
DOI:10.1051/0004-6361/202141828
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1051/0004-6361/202141828
Verlag, lizenzpflichtig, Volltext: https://www.aanda.org/articles/aa/abs/2022/06/aa41828-21/aa41828-21.html
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Author Notes:M. Fouesneau, R. Andrae, T. Dharmawardena, J. Rybizki, C.A.L. Bailer-Jones, and M. Demleitner

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520 |a Physical and dynamical stellar properties are essential knowledge for understanding the structure, formation, and evolution of our Galaxy. We produced a uniformly derived all-sky catalog of stellar astrophysical parameters (APs; age, mass, temperature, bolometric luminosity, distance, and dust extinction) to provide insight into the physical properties of Milky Way stars.<i>Methods.<i/> Exploiting the power of multiwavelength and multi-survey observations from <i>Gaia<i/> DR2 parallaxes and integrated photometry along with 2MASS and AllWISE photometry, we introduce a uniformly derived all-sky catalog of stellar APs, including dust extinction (<i>A<i/><sub>0<sub/>) average grain size (<i>R<i/><sub>0<sub/>) along the line of sight, for 123 076 271 stars. In contrast with previous works, we do not use a Galactic model as a prior in our analysis. We validate our results against other work in the literature (e.g., benchmark stars, interferometry, Bayestar, and StarHorse). The limited optical information in the <i>Gaia<i/> photometric bands or the lack of ultraviolet or spectroscopic information renders the chemistry inference prior-dominated. We demonstrate that <i>Gaia<i/> parallaxes bring sufficient leverage to explore the detailed structures of the interstellar medium in our Milky Way.<i>Conclusions.<i/> In <i>Gaia<i/> DR3, we will obtain the dispersed optical light information that will help us break through some limitations of this analysis, allowing us to infer stellar chemistry in particular. <i>Gaia<i/> promises us data that we can use to construct the most detailed view of the chemo-dynamics of field star populations in our Galaxy. 
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