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

Andrew R. Casey, Keith Hawkins, David W. Hogg, Melissa Ness, Hans-Walter Rix, Georges Kordopatis, Andrea Kunder, Matthias Steinmetz, Sergey Koposov, Harry Enke, Jason Sanders, Gerry Gilmore, Tomaz Zwitter, Kenneth C. Freeman, Luca Casagrande, Gal Matijevic, George Seabroke, Olivier Bienayme, Joss Bland-Hawthorn, Brad K. GibsonEva K. Grebel, Amina Helmi, Ulisse Munari, Julio F. Navarro, Warren Reid, Arnaud Siebert, Rosemary F. Wyse Rosemary

Research output: Contribution to journalArticlepeer-review

64 Citations (Scopus)

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 (greater than or similar to 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.
Original languageEnglish
Article number59
Number of pages19
JournalAstrophysical Journal
Volume840
Issue number1
DOIs
Publication statusPublished - 2017

Keywords

  • Milky Way
  • cosmic abundances
  • galaxies
  • stars

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