EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues Volume 690 (October 2024) A&A, 690 (2024) A16 References
Open Access
Issue
A&A
Volume 690, October 2024
Article Number A16
Number of page(s) 36
Section Galactic structure, stellar clusters and populations
DOI https://doi.org/10.1051/0004-6361/202347701
Published online 27 September 2024
  1. Adamo, A., Östlin, G., Bastian, N., et al. 2013, ApJ, 766, 105 [NASA ADS] [CrossRef] [Google Scholar]
  2. Allard, F. 2014, IAU Symp., 299, 271 [Google Scholar]
  3. Arancibia-Silva, J., Bouvier, J., Bayo, A., et al. 2020, A&A, 635, L13 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  4. Astropy Collaboration (Robitaille, T. P., et al.) 2013, A&A, 558, A33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  5. Astropy Collaboration (Price-Whelan, A. M., et al.) 2018, AJ, 156, 123 [Google Scholar]
  6. Bailer-Jones, C. A. L. 2015, PASP, 127, 994 [Google Scholar]
  7. Baraffe, I., Chabrier, G., Allard, F., & Hauschildt, P. H. 1998, A&A, 337, 403 [Google Scholar]
  8. Baraffe, I., Homeier, D., Allard, F., & Chabrier, G. 2015, A&A, 577, A42 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  9. Barnes, S. A. 2007, ApJ, 669, 1167 [Google Scholar]
  10. Basri, G., Marcy, G. W., & Graham, J. R. 1996, ApJ, 458, 600 [NASA ADS] [CrossRef] [Google Scholar]
  11. Bell, C. P. M., Naylor, T., Mayne, N. J., Jeffries, R. D., & Littlefair, S. P. 2012, MNRAS, 424, 3178 [NASA ADS] [CrossRef] [Google Scholar]
  12. Binks, A. S., & Jeffries, R. D. 2014, MNRAS, 438, L11 [NASA ADS] [CrossRef] [Google Scholar]
  13. Bishop, C. M. 2006, Pattern Recognition and Machine Learning (Information Science and Statistics) (Berlin, Heidelberg: Springer-Verlag) [Google Scholar]
  14. Bossini, D., Vallenari, A., Bragaglia, A., et al. 2019, A&A, 623, A108 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  15. Bouy, H., Bertin, E., Moraux, E., et al. 2013, A&A, 554, A101 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  16. Bouy, H., Bertin, E., Sarro, L. M., et al. 2015, A&A, 577, A148 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  17. Brandner, W., Calissendorff, P., & Kopytova, T. 2023, A&A, 677, A162 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  18. Bressan, A., Marigo, P., Girardi, L., et al. 2012, MNRAS, 427, 127 [NASA ADS] [CrossRef] [Google Scholar]
  19. Cantat-Gaudin, T., & Anders, F. 2020, A&A, 633, A99 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  20. Cantat-Gaudin, T., Jordi, C., Vallenari, A., et al. 2018, A&A, 618, A93 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  21. Cantat-Gaudin, T., Anders, F., Castro-Ginard, A., et al. 2020, A&A, 640, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  22. Castro-Ginard, A., Jordi, C., Luri, X., et al. 2018, A&A, 618, A59 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  23. Castro-Ginard, A., McMillan, P. J., Luri, X., et al. 2021, A&A, 652, A162 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  24. Castro-Ginard, A., Jordi, C., Luri, X., et al. 2022, A&A, 661, A118 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  25. Chabrier, G., & Baraffe, I. 1997, A&A, 327, 1039 [NASA ADS] [Google Scholar]
  26. Chambers, K. C., Magnier, E. A., Metcalfe, N., et al. 2016, ArXiv e-prints [arXiv:1612.05560] [Google Scholar]
  27. Chen, Y., Girardi, L., Bressan, A., et al. 2014, MNRAS, 444, 2525 [Google Scholar]
  28. Chen, Y., Bressan, A., Girardi, L., et al. 2015, MNRAS, 452, 1068 [Google Scholar]
  29. Chevance, M., Kruijssen, J. M. D., Vazquez-Semadeni, E., et al. 2020, Space Sci. Rev., 216, 50 [CrossRef] [Google Scholar]
  30. Choi, J., Dotter, A., Conroy, C., et al. 2016, ApJ, 823, 102 [Google Scholar]
  31. Cortes, C., & Vapnik, V. 1995, Mach. Learn., 20, 273 [Google Scholar]
  32. Curtis, J. L., Agüeros, M. A., Mamajek, E. E., Wright, J. T., & Cummings, J. D. 2019, AJ, 158, 77 [Google Scholar]
  33. Da Rio, N., Tan, J. C., Covey, K. R., et al. 2017, ApJ, 845, 105 [Google Scholar]
  34. David, T. J., & Hillenbrand, L. A. 2015, ApJ, 804, 146 [NASA ADS] [CrossRef] [Google Scholar]
  35. de Boer, K., & Seggewiss, W. 2008, Stars and Stellar Evolution (Les Ulis: EDP Sciences) [Google Scholar]
  36. De Rosa, R. J., Patience, J., Wilson, P. A., et al. 2014, MNRAS, 437, 1216 [NASA ADS] [CrossRef] [Google Scholar]
  37. Dias, W. S., Monteiro, H., Moitinho, A., et al. 2021, MNRAS, 504, 356 [NASA ADS] [CrossRef] [Google Scholar]
  38. Dotter, A. 2016, ApJS, 222, 8 [Google Scholar]
  39. Draine, B. T. 2003, ApJ, 598, 1017 [NASA ADS] [CrossRef] [Google Scholar]
  40. Ester, M., Kriegel, H.-P., Sander, J., & Xu, X. 1996, Proceedings of the Second International Conference on Knowledge Discovery and Data Mining. KDD’96 (AAAI Press), 226 [Google Scholar]
  41. Feiden, G. A. 2016, A&A, 593, A99 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  42. Fouesneau, M., Frémat, Y., Andrae, R., et al. 2023, A&A, 674, A28 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  43. Fürnkranz, V., Meingast, S., & Alves, J. 2019, A&A, 624, L11 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  44. Gaia Collaboration (Prusti, T., et al.) 2016, A&A, 595, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  45. Gaia Collaboration (van Leeuwen, F., et al.) 2017, A&A, 601, A19 [Google Scholar]
  46. Gaia Collaboration (Babusiaux, C., et al.) 2018a, A&A, 616, A10 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  47. Gaia Collaboration (Brown, A. G. A., et al.) 2018b, A&A, 616, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  48. Gaia Collaboration (Brown, A. G. A., et al.) 2021, A&A, 649, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  49. Gaia Collaboration (Vallenari, A., et al.) 2022, A&A, 674, A1 [Google Scholar]
  50. Hastie, T., & Stuetzle, W. 1989, J. Am. Stat. Assoc., 84, 502 [Google Scholar]
  51. Hawkins, K., Lucey, M., & Curtis, J. 2020, MNRAS, 496, 2422 [Google Scholar]
  52. Herczeg, G. J., & Hillenbrand, L. A. 2015, ApJ, 808, 23 [Google Scholar]
  53. Hidalgo, S. L., Pietrinferni, A., Cassisi, S., et al. 2018, ApJ, 856, 125 [Google Scholar]
  54. Hosek, M. W. Jr, Lu, J. R., Lam, C. Y., et al. 2020, AJ, 160, 143 [NASA ADS] [CrossRef] [Google Scholar]
  55. Hotelling, H. 1933, J. Educ. Psychol., 24, 417 [CrossRef] [Google Scholar]
  56. Hunt, E. L., & Reffert, S. 2023, A&A, 673, A114 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  57. Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [NASA ADS] [CrossRef] [Google Scholar]
  58. Hurley, J., & Tout, C. A. 1998, MNRAS, 300, 977 [CrossRef] [Google Scholar]
  59. Jeffries, R. D., Jackson, R. J., Wright, N. J., et al. 2023, MNRAS, 523, 802 [NASA ADS] [CrossRef] [Google Scholar]
  60. Jolliffe, I. T. 2002, Principal Component Analysis for Special Types of Data (Springer) [Google Scholar]
  61. Jolliffe, I. T., & Cadima, J. 2016, Phil. Trans. R. Soc. London Ser. A, 374, 20150202 [Google Scholar]
  62. Kerr, R. M. P., Rizzuto, A. C., Kraus, A. L., & Offner, S. S. R. 2021, ApJ, 917, 23 [NASA ADS] [CrossRef] [Google Scholar]
  63. Kerr, R., Kraus, A. L., Murphy, S. J., et al. 2022a, ApJ, 941, 143 [NASA ADS] [CrossRef] [Google Scholar]
  64. Kerr, R., Kraus, A. L., Murphy, S. J., et al. 2022b, ApJ, 941, 49 [NASA ADS] [CrossRef] [Google Scholar]
  65. Krone-Martins, A., & Moitinho, A. 2014, A&A, 561, A57 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  66. Lada, C. J., & Lada, E. A. 2003, ARA&A, 41, 57 [Google Scholar]
  67. Li, L., & Shao, Z. 2022, ApJ, 930, 44 [NASA ADS] [CrossRef] [Google Scholar]
  68. Li, L., Shao, Z., Li, Z.-Z., et al. 2020, ApJ, 901, 49 [Google Scholar]
  69. Li, Z.-Z., Li, L., & Shao, Z. 2021, Astron. Comput., 36, 100483 [NASA ADS] [CrossRef] [Google Scholar]
  70. Lindegren, L., Hernández, J., Bombrun, A., et al. 2018, A&A, 616, A2 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  71. Mamajek, E. E., & Bell, C. P. M. 2014, MNRAS, 445, 2169 [Google Scholar]
  72. Marigo, P., Girardi, L., Bressan, A., et al. 2017, ApJ, 835, 77 [Google Scholar]
  73. Martín, E. L., Lodieu, N., Pavlenko, Y., & Béjar, V. J. S. 2018, ApJ, 856, 40 [CrossRef] [Google Scholar]
  74. Meingast, S., Alves, J., & Fürnkranz, V. 2019, A&A, 622, L13 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  75. Meingast, S., Alves, J., & Rottensteiner, A. 2021, A&A, 645, A84 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  76. Messina, S., Nardiello, D., Desidera, S., et al. 2022, A&A, 657, L3 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  77. Miret-Roig, N., Bouy, H., Olivares, J., et al. 2019, A&A, 631, A57 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  78. Miret-Roig, N., Galli, P. A. B., Brandner, W., et al. 2020, A&A, 642, A179 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  79. Miret-Roig, N., Alves, J., Barrado, D., et al. 2024, Nat. Astron., 8, 216 [Google Scholar]
  80. Murray, N. 2011, ApJ, 729, 133 [NASA ADS] [CrossRef] [Google Scholar]
  81. Netopil, M., Paunzen, E., & Carraro, G. 2015, A&A, 582, A19 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  82. Nguyen, C. T., Costa, G., Girardi, L., et al. 2022, A&A, 665, A126 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  83. Ochsenbein, F., Bauer, P., & Marcout, J. 2000, A&AS, 143, 23 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  84. Olivares, J., Sarro, L. M., Moraux, E., et al. 2018, A&A, 617, A15 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  85. Olivares, J., Bouy, H., Sarro, L. M., et al. 2019, A&A, 625, A115 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  86. Olivares, J., Bouy, H., Sarro, L. M., et al. 2021, A&A, 649, A159 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  87. Olivares, J., Bouy, H., Miret-Roig, N., et al. 2023, A&A, 671, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  88. Pamos Ortega, D., García Hernández, A., Suárez, J. C., et al. 2022, MNRAS, 513, 374 [NASA ADS] [CrossRef] [Google Scholar]
  89. Pearson, K. F. 1901, London Edinburgh Dublin Phil. Magaz. J. Sci., 2, 559 [CrossRef] [Google Scholar]
  90. Pedregosa, F., Varoquaux, G., Gramfort, A., et al. 2011, J. Mach. Learn. Res., 12, 2825 [Google Scholar]
  91. Pelkonen, V. M., Miret-Roig, N., & Padoan, P. 2024, A&A, 683, A165 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  92. Perryman, M. A. C., Lindegren, L., Kovalevsky, J., et al. 1997, A&A, 323, L49 [Google Scholar]
  93. Pietrinferni, A., Hidalgo, S., Cassisi, S., et al. 2021, ApJ, 908, 102 [NASA ADS] [CrossRef] [Google Scholar]
  94. Plotly Technologies Inc. 2015, Collaborative data science (Montréal, QC: Plotly Technologies Inc. Place of publication), https://plot.ly [Google Scholar]
  95. Ratzenböck, S., Meingast, S., Alves, J., Möller, T., & Bomze, I. 2020, A&A, 639, A64 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  96. Ratzenböck, S., Alves, J., Großschedl, J. E., et al. 2023a, A&A, 678, A71 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  97. Ratzenböck, S., Großschedl, J. E., Möller, T., et al. 2023b, A&A, 677, A59 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  98. Reiners, A., Zechmeister, M., Caballero, J. A., et al. 2018, A&A, 612, A49 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  99. Röser, S., & Schilbach, E. 2020, A&A, 638, A9 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  100. Salaris, M., Cassisi, S., Pietrinferni, A., & Hidalgo, S. 2022, MNRAS, 509, 5197 [Google Scholar]
  101. Sarro, L. M., Bouy, H., Berihuete, A., et al. 2014, A&A, 563, A45 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  102. Sim, G., Lee, S. H., Ann, H. B., & Kim, S. 2019, J. Korean Astron. Soc., 52, 145 [NASA ADS] [Google Scholar]
  103. Skrutskie, M. F., Cutri, R. M., Stiening, R., et al. 2006, AJ, 131, 1163 [NASA ADS] [CrossRef] [Google Scholar]
  104. Smola, A. J., & Schölkopf, B. 2004, Stat. Comput., 14, 199 [CrossRef] [Google Scholar]
  105. Soderblom, D. R. 2010, ARA&A, 48, 581 [Google Scholar]
  106. Soderblom, D. R., Hillenbrand, L. A., Jeffries, R. D., Mamajek, E. E., & Naylor, T. 2014, in Protostars and Planets VI, eds. H. Beuther, R. S. Klessen, C. P. Dullemond, & T. Henning, 219 [Google Scholar]
  107. Squicciarini, V., & Bonavita, M. 2022, A&A, 666, A15 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  108. Taylor, M. B. 2005, ASP Conf. Ser., 347, 29 [Google Scholar]
  109. Tipping, M. E., & Bishop, C. M. 1999, Neural Comput., 11, 443 [CrossRef] [Google Scholar]
  110. van der Walt, S., Colbert, S. C., & Varoquaux, G. 2011, Comput. Sci. Eng., 13, 22 [Google Scholar]
  111. Wang, S., & Chen, X. 2019, ApJ, 877, 116 [Google Scholar]
  112. Weiss, A., & Heners, N. 2013, Eur. Phys. J. Web Conf., 43, 01002 [NASA ADS] [CrossRef] [EDP Sciences] [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.