Published May 1, 2017 | Version v1
Journal article

The RAVE-on Catalog of Stellar Atmospheric Parameters and Chemical Abundances for Chemo-dynamic Studies in the Gaia Era

  • 1. Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge CB3 0HA (United Kingdom)
  • 2. Simons Center for Data Analysis, 160 Fifth Avenue, 7th Floor, New York, NY 10010 (United States)
  • 3. Max-Planck-Institut für Astronomie, Königstuhl 17, D-69117 Heidelberg (Germany)
  • 4. Leibniz-Institut für Astrophysik Potsdam (AIP), An der Sternwarte 16, D-14482 Potsdam (Germany)
  • 5. University of Ljubljana, Faculty of Mathematics and Physics, Jadranska 19, 1000 Ljubljana (Slovenia)
  • 6. Research School of Astronomy and Astrophysics, Mount Stromlo Observatory, The Australian National University, ACT 2611 (Australia)
  • 7. Mullard Space Science Laboratory, University College London, Holmbury St. Mary, Dorking, RH5 6NT (United Kingdom)
  • 8. Observatoire astronomique de Strasbourg, Université de Strasbourg, CNRS, UMR 7550, 11 rue de l'Université, F-67000 Strasbourg (France)
  • 9. Sydney Institute for Astronomy, School of Physics, University of Sydney, NSW 2006 (Australia)
  • 10. E.A. Milne Centre for Astrophysics, University of Hull, Hull, HU6 7RX (United Kingdom)

Description

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 (≳200,000 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.

Availability note (English)

Available from http://dx.doi.org/10.3847/1538-4357/aa69c2

Additional details

Identifiers

Publishing Information

Journal Title
Astrophysical Journal
Journal Volume
840
Journal Issue
1
Journal Page Range
[19 p.]
ISSN
0004-637X
CODEN
ASJOAB

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
49009123
Subject category
S79: ASTROPHYSICS, COSMOLOGY AND ASTRONOMY;
Descriptors DEI
ACCURACY; CATALOGS; GIANT STARS; GRAVITATION; MILKY WAY; RADIAL VELOCITY; SPECTRA; SPECTROSCOPY; SURFACES; SYNTHESIS; THERMAL GRAVIMETRIC ANALYSIS
Descriptors DEC
CHEMICAL ANALYSIS; DOCUMENT TYPES; GALAXIES; GRAVIMETRIC ANALYSIS; QUANTITATIVE CHEMICAL ANALYSIS; STARS; THERMAL ANALYSIS; VELOCITY