4.7 Article

Temperatures and Metallicities of M Dwarfs in the APOGEE Survey

期刊

ASTROPHYSICAL JOURNAL
卷 892, 期 1, 页码 -

出版社

IOP Publishing Ltd
DOI: 10.3847/1538-4357/ab7004

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资金

  1. Max Planck Institute fur Astronomie
  2. US National Aeronautics and Space Administration (NASA) [NNX12AI50G]
  3. US National Science Foundation (NSF) [AST-1517237]
  4. Moore-Sloan Data Science Environment at NYU
  5. National Science Foundation [AST-1517177]
  6. SDSS Faculty and Student Team (FAST) initiative
  7. Alfred P. Sloan Foundation
  8. U.S. Department of Energy Office of Science
  9. Center for High-Performance Computing at the University of Utah
  10. Brazilian Participation Group
  11. Carnegie Institution for Science
  12. Carnegie Mellon University
  13. Chilean Participation Group
  14. French Participation Group
  15. Harvard-Smithsonian Center for Astrophysics
  16. Instituto de Astrofisica de Canarias
  17. Johns Hopkins University
  18. Kavli Institute for the Physics and Mathematics of the Universe (IPMU)/University of Tokyo
  19. Korean Participation Group
  20. Lawrence Berkeley National Laboratory
  21. Leibniz Institut fur Astrophysik Potsdam (AIP)
  22. Max-Planck-Institut fur Astronomie (MPIA Heidelberg)
  23. Max-Planck-Institut fur Astrophysik (MPA Garching)
  24. Max-Planck-Institut fur Extraterrestrische Physik (MPE)
  25. National Astronomical Observatories of China
  26. New Mexico State University
  27. New York University
  28. University of Notre Dame
  29. Observatario Nacional/MCTI
  30. Ohio State University
  31. Pennsylvania State University
  32. Shanghai Astronomical Observatory
  33. United Kingdom Participation Group
  34. Universidad Nacional Autonoma de Mexico
  35. University of Arizona
  36. University of Colorado Boulder
  37. University of Oxford
  38. University of Portsmouth
  39. University of Utah
  40. University of Virginia
  41. University of Washington
  42. University of Wisconsin
  43. Vanderbilt University
  44. Yale University

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M dwarfs have enormous potential for our understanding of structure and formation on both Galactic and exoplanetary scales through their properties and compositions. However, current atmosphere models have limited ability to reproduce spectral features in stars at the coolest temperatures (T-eff < 4200 K) and to fully exploit the information content of current and upcoming large-scale spectroscopic surveys. Here we present a catalog of spectroscopic temperatures, metallicities, and spectral types for 5875 M dwarfs in the Apache Point Observatory Galactic Evolution Experiment (APOGEE) and Gaia-DR2 surveys using The Cannon: a flexible, data-driven spectral-modeling and parameter-inference framework demonstrated to estimate stellar-parameter labels (T-eff, log g, [Fe/H], and detailed abundances) to high precision. Using a training sample of 87 M dwarfs with optically derived labels spanning 2860 K < T-eff < 4130 K calibrated with bolometric temperatures, and -0.5 < [Fe/H] < 0.5 dex calibrated with FGK binary metallicities, we train a two-parameter model with predictive accuracy (in cross-validation) to 77 K and 0.09 dex respectively. We also train a one-dimensional spectral classification model using 51 M dwarfs with Sloan Digital Sky Survey optical spectral types ranging from M0 to M6, to predictive accuracy of 0.7 types. We find Cannon temperatures to be in agreement to within 60 K compared to a subsample of 1702 sources with color-derived temperatures, and Cannon metallicities to be in agreement to within 0.08 dex metallicity compared to a subsample of 15 FGK+M or M+M binaries. Finally, our comparison between Cannon and APOGEE pipeline (ASPCAP DR14) labels finds that ASPCAP is systematically biased toward reporting higher temperatures and lower metallicities for M dwarfs.

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