The RAVE-on catalog of stellar atmospheric parameters and chemical abundances for chemo-dynamic studies in the Gaia era

Casey, Andrew R.; Hawkins, Keith (Astrophysicist); Hogg, David W.; Ness, Melissa; Walter-Rix, Hans; Kordopatis, Georges, 1985-; Kunder, A. (Andrea); Steinmetz, Matthias, 1966-; Koposov, Sergey; Enke, Harry; Sanders, Jason, 1989-; Gilmore, Gerry, 1951-; Zwitter, Tomaž; Freeman, Ken, 1940-; Casagrande, Luca (Astronomer); Matijevič, Gal; Seabroke, George; Bienaymé, Olivier; Bland-Hawthorn, J. (Joss); Gibson, Brad K.; Grebel, Eva K.; Helmi, A. (Amina), 1970-; Munari, Ulisse; Navarro, Julio F. (Julio Fernando); Reid, Warren A. (Warren Alfred); Siebert, Arnaud, 1974-; Wyse, Rosemary F. G.

EA Milne Centre for Astrophysics
Stars : fundamental parameters; Stars : abundances
2017

Journal article


Rights
© 2017. The American Astronomical Society. All rights reserved.
Abstract

The orbits, atmospheric parameters, chemical abundances, and ages of individual stars in the Milky Way provide the most comprehensive illustration of galaxy formation available. The Tycho-Gaia Astrometric Solution (TGAS) will deliver astrometric parameters for the largest ever sample of Milky Way stars, though its full potential cannot be realized without the addition of complementary spectroscopy. Among existing spectroscopic surveys, the RAdial Velocity Experiment (RAVE) has the largest overlap with TGAS (gsim200,000 stars). We present a data-driven re-analysis of 520,781 RAVE spectra using The Cannon. For red giants, we build our model using high-fidelity APOGEE stellar parameters and abundances for stars that overlap with RAVE. For main sequence and sub-giant stars, our model uses stellar parameters from the K2/EPIC. We derive and validate effective temperature T eff, surface gravity log g, and chemical abundances of up to seven elements (O, Mg, Al, Si, Ca, Fe, and Ni). We report a total of 1,685,851 elemental abundances with a typical precision of 0.07 dex, a substantial improvement over previous RAVE data releases. The synthesis of RAVE-on and TGAS is the most powerful data set for chemo-dynamic analyses of the Milky Way ever produced.

Publisher
The University of Hull
Peer reviewed
Yes
Language
English
Extent
3 MB
Identifier
hull:15111

Journal

Journal title
The Astrophysical Journal
Publication date
2017
Publisher
IOP publishing
DOI
10.3847/1538-4357/aa69c2
ISSN (Electronic)
1538-4357
Volume
840
Issue
1
Start page
59-1
End page
59-19
Notes

This is a copy of an article published in the Astrophysical journal, 2017, v.840 issue 1.

Link
Published article
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