Astrophysical parameters from Gaia DR2, 2MASS, and AllWISE

• Verfasst von: Fouesneau, Morgan [VerfasserIn]
• Verfasst von: Andrae, René [VerfasserIn]
• Verfasst von: Dharmawardena, Thavisha [VerfasserIn]
• Verfasst von: Rybizki, Jan [VerfasserIn]
• Verfasst von: Bailer-Jones, Coryn A. L. [VerfasserIn]
• Verfasst von: Demleitner, Markus [VerfasserIn]
• Titel: Astrophysical parameters from Gaia DR2, 2MASS, and AllWISE
• Verf.angabe: M. Fouesneau, R. Andrae, T. Dharmawardena, J. Rybizki, C.A.L. Bailer-Jones, and M. Demleitner
• E-Jahr: 2022
• Jahr: 30 June 2022
• Umfang: 22 S.
• Fussnoten: Gesehen am 17.08.2022
• Titel Quelle: Enthalten in: Astronomy and astrophysics
• Ort Quelle: Les Ulis : EDP Sciences, 1969
• Jahr Quelle: 2022
• Band/Heft Quelle: 662(2022), Artikel-ID A125, Seite 1-22
• ISSN Quelle: 1432-0746
• DOI: doi:10.1051/0004-6361/202141828
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1809487978

Abstract

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.