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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 [NASA ADS] [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]

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