4.7 Article

Masses and Ages for 230,000 LAMOST Giants, via Their Carbon and Nitrogen Abundances

Journal

ASTROPHYSICAL JOURNAL
Volume 841, Issue 1, Pages -

Publisher

IOP Publishing Ltd
DOI: 10.3847/1538-4357/aa6db3

Keywords

methods: data analysis; methods: statistical; stars: abundances; stars: fundamental parameters; surveys; techniques: spectroscopic

Funding

  1. MPIA
  2. Miller Institute at UC Berkeley
  3. National Science Foundation [DGE1144469]
  4. European Research Council under the European Union's Seventh Framework Programme (FP 7) ERC Grant [321035]
  5. NSF [IIS-1124794]
  6. NASA [NNX08AJ48G]
  7. Moore-Sloan Data Science Environment at NYU
  8. Strategic Priority Research Program The Emergence of Cosmological Structures of the Chinese Academy of Sciences [XDB09000000]
  9. National Key Basic Research Program of China [2014CB845700]
  10. National Natural Science Foundation of China (NSFC) grant [11373032, 11333003]
  11. National Development and Reform Commission
  12. Alfred P. Sloan Foundation
  13. U.S. Department of Energy Office of Science
  14. Brazilian Participation Group
  15. Carnegie Institution for Science
  16. Carnegie Mellon University
  17. Chilean Participation Group
  18. French Participation Group
  19. Harvard-Smithsonian Center for Astrophysics
  20. Instituto de Astrofisica de Canarias
  21. Johns Hopkins University
  22. Kavli Institute for the Physics and Mathematics of the Universe (IPMU)/University of Tokyo
  23. Lawrence Berkeley National Laboratory
  24. Leibniz Institut fur Astrophysik Potsdam (AIP)
  25. Max-Planck-Institut fur Astronomie (MPIA Heidelberg)
  26. Max-Planck-Institut fur Astrophysik (MPA Garching)
  27. Max-Planck-Institut fur Extraterrestrische Physik (MPE)
  28. National Astronomical Observatory of China
  29. New Mexico State University
  30. New York University
  31. University of Notre Dame
  32. Observatario Nacional/MCTI
  33. Ohio State University
  34. Pennsylvania State University
  35. Shanghai Astronomical Observatory
  36. United Kingdom Participation Group
  37. Universidad Nacional Autonoma de Mexico
  38. University of Arizona
  39. University of Colorado Boulder
  40. University of Oxford
  41. University of Portsmouth
  42. University of Utah
  43. University of Virginia
  44. University of Washington
  45. University of Wisconsin
  46. Vanderbilt University
  47. Yale University
  48. Robert Martin Ayers Sciences Fund
  49. National Aeronautics and Space Administration
  50. National Science Foundation
  51. Center for High-Performance Computing at the University of Utah

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We measure carbon and nitrogen abundances to a precision of less than or similar to 0.1 dex for 450,000 giant stars from their low-resolution (R similar to 1800) LAMOST DR2 survey spectra. We use these [C/M] and[N/M] measurements, together with empirical relations based on the APOKASC sample, to infer stellar masses and implied ages for 230,000 of these objects to 0.08 dex and 0.2 dex respectively. We use The. Cannon, a data-driven approach to spectral modeling, to construct a predictive model for LAMOST spectra. Our reference set comprises 8125 stars observed in common between the APOGEE and LAMOST surveys, taking seven APOGEE DR12 labels (parameters) as ground truth: T-eff, log g,[M/H],[alpha/M], [C/M],[N/M], and A(k). We add seven colors to the Cannon model, based on the g, r, i, J, H, K, W1, W2 magnitudes from APASS, 2MASS, and WISE, which improves our constraints on T-eff and log g by up to 20% and on A(k) by up to 70%. Cross-validation of the model demonstrates that, for high-S/N objects, our inferred labels agree with the APOGEE values to within 50 K in temperature, 0.04 mag in A(k), and <0.1 dex in log g,[M/H], [C/M],[N/M], and[alpha/M]. We apply the model to 450,000 giants in LAMOST DR2 that have not been observed by APOGEE. This demonstrates that precise individual abundances can be measured from low-resolution spectra. and represents the largest catalog to date of homogeneous stellar [C/M],[N/M], masses, and ages. As a result, we greatly increase the number and sky coverage of stars with mass and age estimates.

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