期刊
ASTRONOMICAL JOURNAL
卷 142, 期 6, 页码 -出版社
IOP Publishing Ltd
DOI: 10.1088/0004-6256/142/6/193
关键词
catalogs; Galaxy: abundances; Galaxy: evolution; stars: abundances; surveys; techniques: spectroscopic
资金
- Australian Astronomical Observatory
- Lebniz-Institut fr Astrophysik Potsdam (AIP)
- Australian National University
- Australian Research Council
- European Research Council [ERC-StG 240271]
- French National Research Agency
- German Research Foundation (DFG)
- DFG [Sonderforschungsbereich SFB 881]
- Istituto Nazionale di Astrofisica at Padova
- Johns Hopkins University
- National Science Foundation of the USA [AST-0908326]
- W. M. Keck foundation
- Macquarie University
- Netherlands Research School for Astronomy
- Natural Sciences and Engineering Research Council of Canada
- Slovenian Research Agency
- Swiss National Science Foundation
- Science & Technology Facilities Council of the UK
- Opticon
- Strasbourg Observatory
- Universities of Groningen, Heidelberg, and Sydney
- Science and Technology Facilities Council [ST/F002432/1, ST/H00243X/1] Funding Source: researchfish
- UK Space Agency [ST/I000852/1] Funding Source: researchfish
- STFC [ST/F002432/1] Funding Source: UKRI
- Division Of Astronomical Sciences
- Direct For Mathematical & Physical Scien [0908326] Funding Source: National Science Foundation
We present chemical elemental abundances for 36,561 stars observed by the RAdial Velocity Experiment (RAVE), an ambitious spectroscopic survey of our Galaxy at Galactic latitudes vertical bar b vertical bar > 25 degrees and with magnitudes in the range 9 < I-DENIS < 13. RAVE spectra cover the Ca-triplet region at 8410-8795 angstrom with resolving power R similar to 7500. This first data release of the RAVE chemical catalog is complementary to the third RAVE data release of radial velocities and stellar parameters, and it contains chemical abundances for the elements Mg, Al, Si, Ca, Ti, Fe, and Ni, with a mean error of similar to 0.2 dex, as judged from accuracy tests performed on synthetic and real spectra. Abundances are estimated through a dedicated processing pipeline in which the curve of growth of individual lines is obtained from a library of absorption line equivalent widths to construct a model spectrum that is then matched to the observed spectrum via a chi(2) minimization technique. We plan to extend this pipeline to include estimates for other elements, such as oxygen and sulfur, in future data releases.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据