TY - JOUR
T1 - APOGEE Data Releases 13 and 14
T2 - Stellar Parameter and Abundance Comparisons with Independent Analyses
AU - Jönsson, Henrik
AU - Prieto, Carlos Allende
AU - Holtzman, Jon A.
AU - Feuillet, Diane K.
AU - Hawkins, Keith
AU - Cunha, Katia
AU - Mészáros, Szabolcs
AU - Hasselquist, Sten
AU - Fernández-Trincado, J. G.
AU - Garciá-Hernández, D. A.
AU - Bizyaev, Dmitry
AU - Carrera, Ricardo
AU - Majewski, Steven R.
AU - Pinsonneault, Marc H.
AU - Shetrone, Matthew
AU - Smith, Verne
AU - Sobeck, Jennifer
AU - Souto, Diogo
AU - Stringfellow, Guy S.
AU - Teske, Johanna
AU - Zamora, Olga
N1 - Funding Information:
Funding for the Sloan Digital Sky Survey IV has been provided by the Alfred P. Sloan Foundation, the U.S. Department of Energy Office of Science, and the Participating Institutions. SDSS acknowledges support and resources from the Center for High-Performance Computing at the University of Utah. The SDSS web site is www.sdss.org.
Funding Information:
H.J. acknowledges support from the Birgit and Hellmuth Hertz Foundation (via the Royal Physiographic Society of Lund), the Crafoord Foundation, and Stiftelsen Olle Engkvist Byggmästare. C.A.P. is grateful to the Spanish Ministry of Economy and Competitiveness (MINECO) for support through grant AYA2017-86389-P. D.K.F. acknowledges funds from the Alexander von Humboldt Foundation in the framework of the Sofja Kovalevskaja Award endowed by the Federal Ministry of Education and Research. K.H. is partially funded by the Simons Foundation Society of Fellows and the Flatiron Institute Center for Computational Astrophysics in New York City. S.M. has been supported by the Premium Postdoctoral Research Program of the Hungarian Academy of Sciences, and by the Hungarian NKFI Grants K-119517 of the Hungarian National Research, Development and Innovation Office. D.A. G.-H. and O.Z. acknowledge support provided by the Spanish Ministry of Economy and Competitiveness (MINECO) under grant AYA-2017-88254-P. J.G.F.-T. is supported by FONDE-CYT No. 3180210.
Publisher Copyright:
© 2018. The American Astronomical Society. All rights reserved..
PY - 2018/9
Y1 - 2018/9
N2 - Data from the SDSS-IV/Apache Point Observatory Galactic Evolution Experiment (APOGEE-2) have been released as part of SDSS Data Releases 13 (DR13) and 14 (DR14). These include high-resolution H-band spectra, radial velocities, and derived stellar parameters and abundances. DR13, released in 2016 August, contained APOGEE data for roughly 150,000 stars, and DR14, released in 2017 August, added about 110,000 more. Stellar parameters and abundances have been derived with an automated pipeline, the APOGEE Stellar Parameter and Chemical Abundance Pipeline (ASPCAP). We evaluate the performance of this pipeline by comparing the derived stellar parameters and abundances to those inferred from optical spectra and analysis for several hundred stars. For most elements-C, Na, Mg, Al, Si, S, Ca, Cr, Mn, Ni-the DR14 ASPCAP analyses have systematic differences with the comparisons samples of less than 0.05 dex (median), and random differences of less than 0.15 dex (standard deviation). These differences are a combination of the uncertainties in both the comparison samples as well as the ASPCAP analysis. Compared to the references, magnesium is the most accurate alpha-element derived by ASPCAP, and shows a very clear thin/thick disk separation, while nickel is the most accurate iron-peak element (besides iron itself).
AB - Data from the SDSS-IV/Apache Point Observatory Galactic Evolution Experiment (APOGEE-2) have been released as part of SDSS Data Releases 13 (DR13) and 14 (DR14). These include high-resolution H-band spectra, radial velocities, and derived stellar parameters and abundances. DR13, released in 2016 August, contained APOGEE data for roughly 150,000 stars, and DR14, released in 2017 August, added about 110,000 more. Stellar parameters and abundances have been derived with an automated pipeline, the APOGEE Stellar Parameter and Chemical Abundance Pipeline (ASPCAP). We evaluate the performance of this pipeline by comparing the derived stellar parameters and abundances to those inferred from optical spectra and analysis for several hundred stars. For most elements-C, Na, Mg, Al, Si, S, Ca, Cr, Mn, Ni-the DR14 ASPCAP analyses have systematic differences with the comparisons samples of less than 0.05 dex (median), and random differences of less than 0.15 dex (standard deviation). These differences are a combination of the uncertainties in both the comparison samples as well as the ASPCAP analysis. Compared to the references, magnesium is the most accurate alpha-element derived by ASPCAP, and shows a very clear thin/thick disk separation, while nickel is the most accurate iron-peak element (besides iron itself).
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U2 - 10.3847/1538-3881/aad4f5
DO - 10.3847/1538-3881/aad4f5
M3 - Article
AN - SCOPUS:85053140907
VL - 156
JO - Astronomical Journal
JF - Astronomical Journal
SN - 0004-6256
IS - 3
M1 - 126
ER -