4.6 Article

THE RAVE CATALOG OF STELLAR ELEMENTAL ABUNDANCES: FIRST DATA RELEASE

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

  1. Australian Astronomical Observatory
  2. Lebniz-Institut fr Astrophysik Potsdam (AIP)
  3. Australian National University
  4. Australian Research Council
  5. European Research Council [ERC-StG 240271]
  6. French National Research Agency
  7. German Research Foundation (DFG)
  8. DFG [Sonderforschungsbereich SFB 881]
  9. Istituto Nazionale di Astrofisica at Padova
  10. Johns Hopkins University
  11. National Science Foundation of the USA [AST-0908326]
  12. W. M. Keck foundation
  13. Macquarie University
  14. Netherlands Research School for Astronomy
  15. Natural Sciences and Engineering Research Council of Canada
  16. Slovenian Research Agency
  17. Swiss National Science Foundation
  18. Science & Technology Facilities Council of the UK
  19. Opticon
  20. Strasbourg Observatory
  21. Universities of Groningen, Heidelberg, and Sydney
  22. Science and Technology Facilities Council [ST/F002432/1, ST/H00243X/1] Funding Source: researchfish
  23. UK Space Agency [ST/I000852/1] Funding Source: researchfish
  24. STFC [ST/F002432/1] Funding Source: UKRI
  25. Division Of Astronomical Sciences
  26. Direct For Mathematical & Physical Scien [0908326] Funding Source: National Science Foundation

向作者/读者索取更多资源

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.

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