EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues Volume 657 (January 2022) A&A, 657 (2022) A35 References
Free Access
Issue
A&A
Volume 657, January 2022
Article Number A35
Number of page(s) 13
Section Stellar atmospheres
DOI https://doi.org/10.1051/0004-6361/202141717
Published online 24 December 2021
  1. Allende Prieto, C., Beers, T. C., Wilhelm, R., et al. 2006, ApJ, 636, 804 [NASA ADS] [CrossRef] [Google Scholar]
  2. Almeida-Fernandes, F., Sampedro, L., Herpich, F. R., et al. 2021, ArXiv e-prints, [arXiv:2104.00020] [Google Scholar]
  3. Aoki, W., Beers, T. C., Lee, Y. S., et al. 2012, AJ, 145, 13 [Google Scholar]
  4. Bai, Y., Liu, J., Wang, S., & Yang, F. 2018, AJ, 157, 9 [NASA ADS] [CrossRef] [Google Scholar]
  5. Beers, T. C. & Christlieb, N. 2005, ARA&A, 43, 531 [NASA ADS] [CrossRef] [Google Scholar]
  6. Beers, T. C., Rossi, S., Norris, J. E., Ryan, S. G., & Shefler, T. 1999, AJ, 117, 981 [NASA ADS] [CrossRef] [Google Scholar]
  7. Beers, T. C., Norris, J. E., Placco, V. M., et al. 2014, ApJ, 794, 58 [NASA ADS] [CrossRef] [Google Scholar]
  8. Beers, T. C., Placco, V. M., Carollo, D., et al. 2017, ApJ, 835, 81 [NASA ADS] [CrossRef] [Google Scholar]
  9. Benitez, N., Dupke, R., Moles, M., et al. 2014, ArXiv e-prints [arXiv:1403.5237] [Google Scholar]
  10. Bertin, E., & Arnouts, S. 1996, A&AS, 117, 393 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  11. Bolton, A. S., Schlegel, D. J., Aubourg, É., et al. 2012, AJ, 144, 144 [NASA ADS] [CrossRef] [Google Scholar]
  12. Breiman, L. 2001, Mach. Learn., 45, 5 [Google Scholar]
  13. Breiman, L., Friedman, J., Stone, C. J., & Olshen, R. A. 1984, Classification and Regression Trees (CRC press) [Google Scholar]
  14. Carollo, D., Beers, T. C., Lee, Y. S., et al. 2007, Nature, 450, 1020 [NASA ADS] [CrossRef] [Google Scholar]
  15. Carollo, D., Beers, T. C., Chiba, M., et al. 2010, ApJ, 712, 692 [NASA ADS] [CrossRef] [Google Scholar]
  16. Casagrande, L., Portinari, L., & Flynn, C. 2006, MNRAS, 373, 13 [Google Scholar]
  17. Cenarro, A., Cardiel, N., Gorgas, J., et al. 2001a, MNRAS, 326, 959 [NASA ADS] [CrossRef] [Google Scholar]
  18. Cenarro, A., Gorgas, J., Cardiel, N., et al. 2001b, MNRAS, 326, 981 [NASA ADS] [CrossRef] [Google Scholar]
  19. Cenarro, A. J., Moles, M., Marín-Franch, A., et al. 2014, in Proc. SPIE, 9149, Observatory Operations: Strategies, Processes, and Systems V, 91491I [Google Scholar]
  20. Cenarro, A. J., Moles, M., Cristóbal-Hornillos, D., et al. 2019, A&A, 622, A176 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  21. Chambers, K. C., Magnier, E. A., Metcalfe, N., et al. 2016, ArXiv e-prints, [arXiv:1612.05560] [Google Scholar]
  22. Chao, L., Wen-hui, Z., & Ji-ming, L. 2019, Chinese Astron. Astrophys., 43, 539 [Google Scholar]
  23. Chen, T., & Guestrin, C. 2016, in Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 785 [Google Scholar]
  24. Chen, T., He, T., Benesty, M., et al. 2015, R package version 0.4-2, 1 [Google Scholar]
  25. Cui, X.-Q., Zhao, Y.-H., Chu, Y.-Q., et al. 2012, Res. Astron. Astrophys., 12, 1197 [Google Scholar]
  26. Dalton, G., Trager, S. C., Abrams, D. C., et al. 2012, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, 8446, Ground-based and Airborne Instrumentation for Astronomy IV, eds. I. S. McLean, S. K. Ramsay, & H. Takami, 84460P [Google Scholar]
  27. Dawson, K. S., Schlegel, D. J., Ahn, C. P., et al. 2012, AJ, 145, 10 [Google Scholar]
  28. de Jong, J. T. A., Yanny, B., Rix, H.-W., et al. 2010, ApJ, 714, 663 [NASA ADS] [CrossRef] [Google Scholar]
  29. De Jong, R. S., Bellido-Tirado, O., Chiappini, C., et al. 2012, in Ground-based and Airborne Instrumentation for Astronomy IV, 8446, International Society for Optics and Photonics, 84460T [Google Scholar]
  30. Deng, L.-C., Newberg, H. J., Liu, C., et al. 2012, Res. Astron. Astrophys., 12, 735 [Google Scholar]
  31. Fiorentin, P. R., Bailer-Jones, C., Lee, Y. S., et al. 2007, A&A, 467, 1373 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  32. Gaia Collaboration (Brown, A. G. A., et al.) 2018, A&A, 616, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  33. Hastie, T., Tibshirani, R., & Friedman, J. 2009, The elements of statistical learning: data mining, inference, and prediction (Springer Science & Business Media) [Google Scholar]
  34. Hunter, J. D., 2007, Comput. Sci. Eng., 9, 90 [Google Scholar]
  35. Ivezić, Ž., Sesar, B., Jurić, M., et al. 2008, ApJ, 684, 287 [Google Scholar]
  36. Keller, S. C., Schmidt, B. P., Bessell, M. S., et al. 2007, PASA, 24, 1 [NASA ADS] [CrossRef] [Google Scholar]
  37. Kim, Y. K., Lee, Y. S., & Beers, T. C. 2019, ApJ, 882, 176 [NASA ADS] [CrossRef] [Google Scholar]
  38. Kim, Y. K., Lee, Y. S., Beers, T. C., & Koo, J.-R. 2021, ApJ, 911, L21 [CrossRef] [Google Scholar]
  39. Koleva, M., Prugniel, P., Bouchard, A., & Wu, Y. 2009, A&A, 501, 1269 [CrossRef] [EDP Sciences] [Google Scholar]
  40. Kotsiantis, S. B., Zaharakis, I., & Pintelas, P. 2007, Emerg. Artif. Intell. Applic. Comput. Eng., 160, 3 [Google Scholar]
  41. Lee, Y. S., Beers, T. C., Sivarani, T., et al. 2008a, AJ, 136, 2022 [Google Scholar]
  42. Lee, Y. S., Beers, T. C., Sivarani, T., et al. 2008b, AJ, 136, 2050 [Google Scholar]
  43. Lee, Y. S., Beers, T. C., An, D., et al. 2011, ApJ, 738, 187 [NASA ADS] [CrossRef] [Google Scholar]
  44. Lee, Y. S., Beers, T. C., Masseron, T., et al. 2013, AJ, 146, 132 [Google Scholar]
  45. Lee, Y. S., Beers, T. C., Kim, Y. K., et al. 2017, ApJ, 836, 91 [CrossRef] [Google Scholar]
  46. Lee, Y. S., Beers, T. C., & Kim, Y. K. 2019, ApJ, 885, 102 [NASA ADS] [CrossRef] [Google Scholar]
  47. Limberg, G., Santucci, R.M., Rossi, S., et al. 2021, ApJ, 913, 11 [NASA ADS] [CrossRef] [Google Scholar]
  48. López-Sanjuan, C., Vázquez Ramió, H., Varela, J., et al. 2019, A&A, 622, A177 [Google Scholar]
  49. López-Sanjuan, C., Yuan, H., Vázquez Ramió, H., et al. 2021, A&A, 654, A61 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  50. Luo, A.-L., Zhao, Y.-H., Zhao, G., et al. 2015, Res. Astron. Astrophys., 15, 1095 [Google Scholar]
  51. Majewski, S. R., APOGEE Team, & APOGEE-2 Team 2016, Astron. Nachr., 337, 863 [NASA ADS] [CrossRef] [Google Scholar]
  52. Marín-Franch, A., Taylor, K., Cenarro, J., Cristobal-Hornillos, D., & Moles, M. 2015, in IAU General Assembly, 29, 2257381 [Google Scholar]
  53. Mendes de Oliveira, C., Ribeiro, T., Schoenell, W., et al. 2019, MNRAS, 489, 241 [NASA ADS] [CrossRef] [Google Scholar]
  54. Miller, A. A., Bloom, J. S., Richards, J. W., et al. 2015, ApJ, 798, 122 [NASA ADS] [CrossRef] [Google Scholar]
  55. Moultaka, J., Ilovaisky, S., Prugniel, P., & Soubiran, C. 2004, PASP, 116, 693 [NASA ADS] [CrossRef] [Google Scholar]
  56. Pedregosa, F., Varoquaux, G., Gramfort, A., et al. 2011, J. Mach. Learn. Res., 12, 2825 [Google Scholar]
  57. Placco, V. M., Frebel, A., Lee, Y. S., et al. 2015, ApJ, 809, 136 [NASA ADS] [CrossRef] [Google Scholar]
  58. Prieto, C. A., Sivarani, T., Beers, T. C., et al. 2008, AJ, 136, 2070 [NASA ADS] [CrossRef] [Google Scholar]
  59. Prugniel, P., & Soubiran, C. 2001, A&A, 369, 1048 [CrossRef] [EDP Sciences] [Google Scholar]
  60. Prusti, T., De Bruijne, J., Brown, A. G., et al. 2016, A&A, 595, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  61. Sánchez-Blázquez, P., Peletier, R. F., Jiménez-Vicente, J., et al. 2006, MNRAS, 371, 703 [Google Scholar]
  62. Scaringi, S., Groot, P., Verbeek, K., et al. 2013, MNRAS, 428, 2207 [NASA ADS] [CrossRef] [Google Scholar]
  63. Schlaufman, K. C., & Casey, A. R. 2014, ApJ, 797, 13 [CrossRef] [Google Scholar]
  64. Singh, H. P., Gulati, R. K., & Gupta, R. 1998, MNRAS, 295, 312 [NASA ADS] [CrossRef] [Google Scholar]
  65. Starkenburg, E., Martin, N., Youakim, K., et al. 2017, MNRAS, 471, 2587 [NASA ADS] [CrossRef] [Google Scholar]
  66. Strobl, C., Malley, J., & Tutz, G. 2009, Psychol. Methods, 14, 323 [CrossRef] [Google Scholar]
  67. Whitten, D., Placco, V., Beers, T., et al. 2019, A&A, 622, A182 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  68. Whitten, D. D., Placco, V. M., Beers, T. C., et al. 2021, ApJ, 912, 147 [NASA ADS] [CrossRef] [Google Scholar]
  69. Wilson, E. B. 1927, J. Am. Stat. Assoc., 22, 209 [CrossRef] [Google Scholar]
  70. Wright, E. L., Eisenhardt, P. R., Mainzer, A. K., et al. 2010, AJ, 140, 1868 [Google Scholar]
  71. Wu, Y., Luo, A.-L., Li, H.-N., et al. 2011, Res. Astron. Astrophys., 11, 924 [Google Scholar]
  72. Wu, Y., Du, B., Luo, A., Zhao, Y., & Yuan, H. 2014, Proc. Int. Astron. Union, 10, 340 [CrossRef] [Google Scholar]
  73. Xiang, M., Liu, X., Yuan, H., et al. 2015, MNRAS, 448, 822 [NASA ADS] [CrossRef] [Google Scholar]
  74. Yanny, B., Rockosi, C., Newberg, H. J., et al. 2009, AJ, 137, 4377 [Google Scholar]
  75. York, D. G., Adelman, J., Anderson, Jr. J. E., et al. 2000, AJ, 120, 1579 [Google Scholar]
  76. Youakim, K., Starkenburg, E., Aguado, D. S., et al. 2017, MNRAS, 472, 2963 [NASA ADS] [CrossRef] [Google Scholar]
  77. Youakim, K., Starkenburg, E., Martin, N. F., et al. 2020, MNRAS, 492, 4986 [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.