TY - JOUR
T1 - The RAVE-on catalog of stellar atmospheric parameters and chemical abundances for chemo-dynamic studies in the Gaia Era
AU - Casey, Andrew R.
AU - Hawkins, Keith
AU - Hogg, David W.
AU - Ness, Melissa
AU - Rix, Hans-Walter
AU - Kordopatis, Georges
AU - Kunder, Andrea
AU - Steinmetz, Matthias
AU - Koposov, Sergey
AU - Enke, Harry
AU - Sanders, Jason
AU - Gilmore, Gerry
AU - Zwitter, Tomaz
AU - Freeman, Kenneth C.
AU - Casagrande, Luca
AU - Matijevic, Gal
AU - Seabroke, George
AU - Bienayme, Olivier
AU - Bland-Hawthorn, Joss
AU - Gibson, Brad K.
AU - Grebel, Eva K.
AU - Helmi, Amina
AU - Munari, Ulisse
AU - Navarro, Julio F.
AU - Reid, Warren
AU - Siebert, Arnaud
AU - Wyse Rosemary, Rosemary F.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - Milky Way
KW - cosmic abundances
KW - galaxies
KW - stars
UR - http://handle.westernsydney.edu.au:8081/1959.7/uws:43910
U2 - 10.3847/1538-4357/aa69c2
DO - 10.3847/1538-4357/aa69c2
M3 - Article
SN - 0004-637X
VL - 840
JO - Astrophysical Journal
JF - Astrophysical Journal
IS - 1
M1 - 59
ER -