EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues Volume 708 (April 2026) A&A, 708 (2026) A215 References
Open Access
Issue
A&A
Volume 708, April 2026
Article Number A215
Number of page(s) 16
Section Galactic structure, stellar clusters and populations
DOI https://doi.org/10.1051/0004-6361/202558436
Published online 09 April 2026
  1. Abdurro’uf, Accetta, K., Aerts, C., et al. 2022, ApJS, 259, 35 [NASA ADS] [CrossRef] [Google Scholar]
  2. Aguirre Børsen-Koch, V., Rørsted, J. L., Justesen, A. B., et al. 2022, MNRAS, 509, 4344 [Google Scholar]
  3. Anders, F., Chiappini, C., Rodrigues, T. S., et al. 2017, A&A, 597, A30 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  4. Anders, F., Khalatyan, A., Queiroz, A. B. A., et al. 2022, A&A, 658, A91 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  5. Anders, F., Gispert, P., Ratcliffe, B., et al. 2023a, A&A, 678, A158 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  6. Anders, F., Khalatyan, A., Queiroz, A. B. A., Nepal, S., & Chiappini, C. 2023b, arXiv e-prints [arXiv:2302.06995] [Google Scholar]
  7. Andrae, R., Rix, H.-W., & Chandra, V. 2023, ApJS, 267, 8 [NASA ADS] [CrossRef] [Google Scholar]
  8. Asplund, M., Grevesse, N., & Sauval, A. J. 2005, in Astronomical Society of the Pacific Conference Series, 336, Cosmic Abundances as Records of Stellar Evolution and Nucleosynthesis, eds. T. G. Barnes, III, & F. N. Bash, 25 [Google Scholar]
  9. Asplund, M., Grevesse, N., Sauval, A. J., & Scott, P. 2009, ARA&A, 47, 481 [CrossRef] [Google Scholar]
  10. Astropy Collaboration (Robitaille, T. P., et al.) 2013, A&A, 558, A33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  11. Astropy Collaboration (Price-Whelan, A. M., et al.) 2018, AJ, 156, 123 [Google Scholar]
  12. Astropy Collaboration (Price-Whelan, A. M., et al.) 2022, ApJ, 935, 167 [NASA ADS] [CrossRef] [Google Scholar]
  13. Baglin, A., Auvergne, M., Boisnard, L., et al. 2006, in 36th COSPAR Scientific Assembly, 36, 3749 [Google Scholar]
  14. Bastian, N., & Lardo, C. 2018, ARA&A, 56, 83 [Google Scholar]
  15. Bedding, T. R., Huber, D., Stello, D., et al. 2010, ApJ, 713, L176 [Google Scholar]
  16. Bensby, T., Adén, D., Meléndez, J., et al. 2011, A&A, 533, A134 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  17. Bensby, T., Feltzing, S., & Oey, M. S. 2014, A&A, 562, A71 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  18. Borucki, W. J., Koch, D., Basri, G., et al. 2010, Science, 327, 977 [Google Scholar]
  19. Bossini, D., Vallenari, A., Bragaglia, A., et al. 2019, A&A, 623, A108 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  20. Boulet, T. 2024, A&A, 685, A66 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  21. Bressan, A., Marigo, P., Girardi, L., et al. 2012, MNRAS, 427, 127 [NASA ADS] [CrossRef] [Google Scholar]
  22. Bu, Y., Kumar, Y. B., Xie, J., et al. 2020, ApJS, 249, 7 [NASA ADS] [CrossRef] [Google Scholar]
  23. Buder, S., Sharma, S., Kos, J., et al. 2021, MNRAS, 506, 150 [NASA ADS] [CrossRef] [Google Scholar]
  24. Buder, S., Kos, J., Wang, X. E., et al. 2025, PASA, 42, e051 [Google Scholar]
  25. Caffau, E., Ludwig, H.-G., Steffen, M., Freytag, B., & Bonifacio, P. 2011, Sol. Phys., 268, 255 [Google Scholar]
  26. Cantat-Gaudin, T., Anders, F., Castro-Ginard, A., et al. 2020, A&A, 640, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  27. Casagrande, L., Schönrich, R., Asplund, M., et al. 2011, A&A, 530, A138 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  28. Casamiquela, L., Reese, D. R., Lebreton, Y., et al. 2024, A&A, 692, A243 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  29. Cavallo, L., Spina, L., Carraro, G., et al. 2024, AJ, 167, 12 [NASA ADS] [CrossRef] [Google Scholar]
  30. Cerqui, V., Haywood, M., Snaith, O., Di Matteo, P., & Casamiquela, L. 2025, A&A, 699, A277 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  31. Chaplin, W. J., Appourchaux, T., Elsworth, Y., et al. 2010, ApJ, 713, L169 [NASA ADS] [CrossRef] [Google Scholar]
  32. Choi, J., Dotter, A., Conroy, C., et al. 2016, ApJ, 823, 102 [Google Scholar]
  33. Ciucă, I., Kawata, D., Miglio, A., Davies, G. R., & Grand, R. J. J. 2021, MNRAS, 503, 2814 [Google Scholar]
  34. Costa, G., Shepherd, K. G., Bressan, A., et al. 2025, A&A, 694, A193 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  35. Cui, X.-Q., Zhao, Y.-H., Chu, Y.-Q., et al. 2012, Res. Astron. Astrophys., 12, 1197 [Google Scholar]
  36. Danielski, C., Babusiaux, C., Ruiz-Dern, L., Sartoretti, P., & Arenou, F. 2018, A&A, 614, A19 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  37. Das, P., & Sanders, J. L. 2018, MNRAS, 484, 294 [Google Scholar]
  38. de Jong, R. S., Agertz, O., Berbel, A. A., et al. 2019, The Messenger, 175, 3 [NASA ADS] [Google Scholar]
  39. De Silva, G. M., Freeman, K. C., Bland-Hawthorn, J., et al. 2015, MNRAS, 449, 2604 [NASA ADS] [CrossRef] [Google Scholar]
  40. Demarque, P., Woo, J.-H., Kim, Y.-C., & Yi, S. K. 2004, ApJS, 155, 667 [NASA ADS] [CrossRef] [Google Scholar]
  41. Dotter, A., Chaboyer, B., Jevremović, D., et al. 2007, AJ, 134, 376 [NASA ADS] [CrossRef] [Google Scholar]
  42. Dotter, A., Chaboyer, B., Jevremović, D., et al. 2008, ApJS, 178, 89 [Google Scholar]
  43. Edenhofer, G., Zucker, C., Frank, P., et al. 2024, A&A, 685, A82 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  44. Ekström, S., Georgy, C., Eggenberger, P., et al. 2012, A&A, 537, A146 [Google Scholar]
  45. Gaia Collaboration (Babusiaux, C., et al.) 2018, A&A, 616, A10 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  46. Gaia Collaboration (Vallenari, A., et al.) 2023, A&A, 674, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  47. García, R. A., & Ballot, J. 2019, Living Rev. Sol. Phys., 16, 4 [Google Scholar]
  48. Garraffo, C., Protopapas, P., Drake, J. J., Becker, I., & Cargile, P. 2021, AJ, 162, 157 [Google Scholar]
  49. Georgy, C., Ekström, S., Eggenberger, P., et al. 2013a, A&A, 558, A103 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  50. Georgy, C., Ekström, S., Granada, A., et al. 2013b, A&A, 553, A24 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  51. Georgy, C., Granada, A., Ekström, S., et al. 2014, A&A, 566, A21 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  52. Goupil, M. J., Catala, C., Samadi, R., et al. 2024, A&A, 683, A78 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  53. Grevesse, N., & Sauval, A. J. 1998, Space Sci. Rev., 85, 161 [Google Scholar]
  54. Guiglion, G., Nepal, S., Chiappini, C., et al. 2024, A&A, 682, A9 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  55. Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357 [NASA ADS] [CrossRef] [Google Scholar]
  56. Hayden, M. R., Sharma, S., Bland-Hawthorn, J., et al. 2022, MNRAS, 517, 5325 [NASA ADS] [CrossRef] [Google Scholar]
  57. Haywood, M., Di Matteo, P., Lehnert, M. D., Katz, D., & Gómez, A. 2013, A&A, 560, A109 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  58. Hidalgo, S. L., Pietrinferni, A., Cassisi, S., et al. 2018, ApJ, 856, 125 [Google Scholar]
  59. Hon, M., Huber, D., Kuszlewicz, J. S., et al. 2021, ApJ, 919, 131 [NASA ADS] [CrossRef] [Google Scholar]
  60. Hon, M., Li, Y., & Ong, J. 2024, ApJ, 973, 154 [NASA ADS] [CrossRef] [Google Scholar]
  61. Howes, L. M., Lindegren, L., Feltzing, S., Church, R. P., & Bensby, T. 2019, A&A, 622, A27 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  62. Hunt, E. L., & Reffert, S. 2023, A&A, 673, A114 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  63. Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [NASA ADS] [CrossRef] [Google Scholar]
  64. Jin, S., Trager, S. C., Dalton, G. B., et al. 2024, MNRAS, 530, 2688 [NASA ADS] [CrossRef] [Google Scholar]
  65. Jørgensen, B. R., & Lindegren, L. 2005, A&A, 436, 127 [Google Scholar]
  66. Khalatyan, A., Anders, F., Chiappini, C., et al. 2024, A&A, 691, A98 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  67. Kingma, D. P., & Ba, J. 2017, Adam: A Method for Stochastic Optimization [Google Scholar]
  68. Kollmeier, J. A., Rix, H.-W., Aerts, C., et al. 2025, AJ, 171, 52 [Google Scholar]
  69. Kordopatis, G., Schultheis, M., McMillan, P. J., et al. 2023, A&A, 669, A104 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  70. Lebreton, Y., Goupil, M. J., & Montalbán, J. 2014a, in EAS Publications Series, 65, EAS Publications Series, eds. Y. Lebreton, D. Valls-Gabaud, & C. Charbonnel (EDP), 99 [Google Scholar]
  71. Lebreton, Y., Goupil, M. J., & Montalbán, J. 2014b, in EAS Publications Series, 65, EAS Publications Series, eds. Y. Lebreton, D. Valls-Gabaud, & C. Charbonnel (EDP), 177 [Google Scholar]
  72. Lebreton, Y., & Reese, D. R. 2020, A&A, 642, A88 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  73. Li, J., Wong, K. W. K., Hogg, D. W., Rix, H.-W., & Chandra, V. 2024, ApJS, 272, 2 [NASA ADS] [CrossRef] [Google Scholar]
  74. Lindegren, L., Bastian, U., Biermann, M., et al. 2021, A&A, 649, A4 [EDP Sciences] [Google Scholar]
  75. Mainieri, V., Anderson, R. I., Brinchmann, J., et al. 2024, arXiv e-prints [arXiv:2403.05398] [Google Scholar]
  76. Marigo, P., Bressan, A., Nanni, A., Girardi, L., & Pumo, M. L. 2013, MNRAS, 434, 488 [Google Scholar]
  77. Martin, N. F., Starkenburg, E., Yuan, Z., et al. 2024, A&A, 692, A115 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  78. Moya, A., Recio-Martínez, J., & López-Sastre, R. J. 2021, in 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 1971 [Google Scholar]
  79. Nataf, D. M., Schlaufman, K. C., Reggiani, H., & Hahn, I. 2024, ApJ, 976, 87 [Google Scholar]
  80. Netopil, M., Oralhan, İ. A., Çakmak, H., Michel, R., & Karataş, Y. 2022, MNRAS, 509, 421 [Google Scholar]
  81. Nguyen, C. T., Costa, G., Girardi, L., et al. 2022, A&A, 665, A126 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  82. Pastorelli, G., Marigo, P., Girardi, L., et al. 2020, MNRAS, 498, 3283 [Google Scholar]
  83. Paxton, B., Bildsten, L., Dotter, A., et al. 2011, ApJS, 192, 3 [Google Scholar]
  84. Paxton, B., Cantiello, M., Arras, P., et al. 2013, ApJS, 208, 4 [Google Scholar]
  85. Paxton, B., Marchant, P., Schwab, J., et al. 2015, ApJS, 220, 15 [Google Scholar]
  86. Paxton, B., Schwab, J., Bauer, E. B., et al. 2018, ApJS, 234, 34 [NASA ADS] [CrossRef] [Google Scholar]
  87. Paxton, B., Smolec, R., Schwab, J., et al. 2019, ApJS, 243, 10 [Google Scholar]
  88. Pedregosa, F., Varoquaux, G., Gramfort, A., et al. 2011, J. Mach. Learn. Res., 12, 2825 [Google Scholar]
  89. Pinsonneault, M. H., Zinn, J. C., Tayar, J., et al. 2025, ApJS, 276, 69 [NASA ADS] [CrossRef] [Google Scholar]
  90. Queiroz, A. B. A., Anders, F., Chiappini, C., et al. 2023, A&A, 673, A155 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  91. Rauer, H., Catala, C., Aerts, C., et al. 2014, Exp. Astron., 38, 249 [Google Scholar]
  92. Reyes, C., Stello, D., Hon, M., et al. 2025, MNRAS, 538, 1720 [Google Scholar]
  93. Ricker, G. R., Winn, J. N., Vanderspek, R., et al. 2014, JATIS, 1, 014003 [NASA ADS] [Google Scholar]
  94. Rosenfield, P., Marigo, P., Girardi, L., et al. 2016, ApJ, 822, 73 [NASA ADS] [CrossRef] [Google Scholar]
  95. Salaris, M., Chieffi, A., & Straniero, O. 1993, ApJ, 414, 580 [NASA ADS] [CrossRef] [Google Scholar]
  96. Sanders, J. L., & Das, P. 2018, MNRAS, 481, 4093 [CrossRef] [Google Scholar]
  97. Soderblom, D. R. 2010, ARA&A, 48, 581 [Google Scholar]
  98. Tamames-Rodero, V., Moya, A., Sarro, L. M., & López-Sastre, R. J. 2025, Astron. Comput., 52, 100957 [Google Scholar]
  99. Tayar, J., & Joyce, M. 2025, ApJ, 984, L56 [Google Scholar]
  100. Tishby, Levin, & Solla. 1989, in International 1989 Joint Conference on Neural Networks, 2, 403 [Google Scholar]
  101. Tsantaki, M., Delgado-Mena, E., Bossini, D., et al. 2023, A&A, 674, A157 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  102. Van-Lane, P., Speagle, J. S., & Douglas, S. 2023, arXiv e-prints [arXiv:2307.08753] [Google Scholar]
  103. Vergely, J. L., Lallement, R., & Cox, N. L. J. 2022, A&A, 664, A174 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  104. Virtanen, P., Gommers, R., Oliphant, T. E., et al. 2020, Nat. Methods, 17, 261 [Google Scholar]
  105. von Hippel, T., van Dyk, D. A., Stenning, D. C., et al. 2014, in EAS Publications Series, 65, EAS Publications Series, eds. Y. Lebreton, D. Valls-Gabaud, & C. Charbonnel (EDP), 267 [Google Scholar]
  106. Wang, S., & Chen, X. 2019, ApJ, 877, 116 [Google Scholar]
  107. Wang, H.-F., Carraro, G., Li, X., et al. 2024, ApJ, 967, 37 [NASA ADS] [CrossRef] [Google Scholar]
  108. Xiang, M., & Rix, H.-W. 2022, Nature, 603, 599 [NASA ADS] [CrossRef] [Google Scholar]
  109. Xiang, M., Rix, H.-W., Yang, H., et al. 2025, Nat. Astron., 9, 101 [Google Scholar]
  110. Yi, S., Demarque, P., Kim, Y.-C., et al. 2001, ApJS, 136, 417 [Google Scholar]
  111. Yusof, N., Hirschi, R., Eggenberger, P., et al. 2022, MNRAS, 511, 2814 [NASA ADS] [CrossRef] [Google Scholar]
  112. Zhang, X., Green, G. M., & Rix, H.-W. 2023, MNRAS, 524, 1855 [NASA ADS] [CrossRef] [Google Scholar]
  113. Zhao, G., Zhao, Y.-H., Chu, Y.-Q., Jing, Y.-P., & Deng, L.-C. 2012, Res. Astron. Astrophys., 12, 723 [NASA ADS] [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.