4.6 Article

EXPLORING THE MORPHOLOGY OF RAVE STELLAR SPECTRA

期刊

出版社

IOP PUBLISHING LTD
DOI: 10.1088/0067-0049/200/2/14

关键词

methods: numerical; stars: peculiar; techniques: spectroscopic

资金

  1. Australian Astronomical Observatory
  2. Leibniz-Institut fuer Astrophysik Potsdam (AIP)
  3. Australian National University
  4. Australian Research Council
  5. French National Research Agency
  6. German Research Foundation [SPP 1177, SFB 881]
  7. European Research Council [ERC-StG 240271]
  8. Istituto Nazionale di Astrofisica at Padova
  9. Johns Hopkins University
  10. National Science Foundation of the USA [AST-0908326]
  11. W. M. Keck Foundation
  12. Macquarie University
  13. Netherlands Research School for Astronomy
  14. Natural Sciences and Engineering Research Council of Canada
  15. Slovenian Research Agency
  16. Swiss National Science Foundation
  17. Science and Technology Facilities Council of the UK
  18. Opticon
  19. Strasbourg Observatory
  20. University of Groningen
  21. University of Heidelberg
  22. University of Sydney
  23. Direct For Mathematical & Physical Scien
  24. Division Of Astronomical Sciences [0908326] Funding Source: National Science Foundation
  25. Science and Technology Facilities Council [ST/H00243X/1, ST/J001538/1] Funding Source: researchfish
  26. UK Space Agency [PP/D006570/1, ST/I000852/1, ST/K00056X/1] Funding Source: researchfish
  27. STFC [ST/J001538/1] Funding Source: UKRI

向作者/读者索取更多资源

The RAdial Velocity Experiment (RAVE) is a medium-resolution (R similar to 7500) spectroscopic survey of the Milky Way that has already obtained over half a million stellar spectra. They present a randomly selected magnitude-limited sample, so it is important to use a reliable and automated classification scheme that identifies normal single stars and discovers different types of peculiar stars. To this end, we present a morphological classification of similar to 350,000 RAVE survey stellar spectra using locally linear embedding, a dimensionality reduction method that enables representing the complex spectral morphology in a low-dimensional projected space while still preserving the properties of the local neighborhoods of spectra. We find that the majority of all spectra in the database (similar to 90%-95%) belong to normal single stars, but there is also a significant population of several types of peculiars. Among them, the most populated groups are those of various types of spectroscopic binary and chromospherically active stars. Both of them include several thousands of spectra. Particularly the latter group offers significant further investigation opportunities since activity of stars is a known proxy of stellar ages. Applying the same classification procedure to the sample of normal single stars alone shows that the shape of the projected manifold in two-dimensional space correlates with stellar temperature, surface gravity, and metallicity.

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