EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues Volume 699 (July 2025) A&A, 699 (2025) A173 References
Open Access
Issue
A&A
Volume 699, July 2025
Article Number A173
Number of page(s) 12
Section Galactic structure, stellar clusters and populations
DOI https://doi.org/10.1051/0004-6361/202554305
Published online 08 July 2025
  1. Akaike, H. 1974, IEEE Trans. Automat. Control, 19, 716 [Google Scholar]
  2. Asplund, M., Grevesse, N., Sauval, A. J., & Scott, P. 2009, ARA&A, 47, 481 [NASA ADS] [CrossRef] [Google Scholar]
  3. Asplund, M., Amarsi, A. M., & Grevesse, N. 2021, A&A, 653, A141 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  4. Baraffe, I., Pratt, J., Goffrey, T., et al. 2017, ApJ, 845, L6 [Google Scholar]
  5. Bensby, T., & Lind, K. 2018, A&A, 615, A151 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  6. Bensby, T., Feltzing, S., Yee, J. C., et al. 2020, A&A, 634, A130 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  7. Borisov, S., Prantzos, N., & Charbonnel, C. 2024, A&A, 691, A142 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  8. Bressan, A., Marigo, P., Girardi, L., et al. 2012, MNRAS, 427, 127 [NASA ADS] [CrossRef] [Google Scholar]
  9. Burnham, K., & Anderson, D. 2002, Model Selection and Multimodel Inference: a Practical Information-theoretic Approach (Berlin: Springer Verlag) [Google Scholar]
  10. Carlos, M., Meléndez, J., Spina, L., et al. 2019, MNRAS, 485, 4052 [Google Scholar]
  11. Charbonnel, C., Borisov, S., de Laverny, P., & Prantzos, N. 2021, A&A, 649, L10 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  12. Chiappini, C. 2009, IAU Symp., 254, 191 [Google Scholar]
  13. Cooke, R. 2024, arXiv e-prints [arXiv:2409.06015] [Google Scholar]
  14. Dantas, M. L. L., Guiglion, G., Smiljanic, R., et al. 2022, A&A, 668, L7 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  15. Dantas, M. L. L., Smiljanic, R., Boesso, R., et al. 2023, A&A, 669, A96 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  16. Dantas, M. L. L., Smiljanic, R., de Souza, R. S., Tissera, P. B., & Magrini, L. 2025, A&A, 696, A205 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  17. Deal, M., & Martins, C. J. A. P. 2021, A&A, 653, A48 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  18. Dekker, H., D’Odorico, S., Kaufer, A., Delabre, B., & Kotzlowski, H. 2000, SPIE Conf. Ser., 4008, 534 [Google Scholar]
  19. Delgado Mena, E., Bertrán de Lis, S., Adibekyan, V. Z., et al. 2015, A&A, 576, A69 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  20. Deliyannis, C. P., Demarque, P., & Kawaler, S. D. 1990, ApJS, 73, 21 [NASA ADS] [CrossRef] [Google Scholar]
  21. Fabricius, C., Luri, X., Arenou, F., et al. 2021, A&A, 649, A5 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  22. Feigelson, E., & Babu, G. 2012, Modern Statistical Methods for Astronomy: With R Applications (Cambridge: Cambridge University Press) [CrossRef] [Google Scholar]
  23. Fields, B. D., Olive, K. A., Yeh, T.-H., & Young, C. 2020, J. Cosmology Astropart. Phys., 2020, 010 [CrossRef] [Google Scholar]
  24. Fox, J., & Monette, G. 1992, J. Am. Stat. Assoc., 87, 178 [Google Scholar]
  25. Franciosini, E., Randich, S., de Laverny, P., et al. 2022, A&A, 668, A49 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  26. Fu, X., Romano, D., Bragaglia, A., et al. 2018, A&A, 610, A38 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  27. Gao, X., Lind, K., Amarsi, A. M., et al. 2020, MNRAS, 497, L30 [Google Scholar]
  28. George, B., Seals, S., & Aban, I. 2014, J. Nucl. Cardiol., 21, 686 [Google Scholar]
  29. Gilmore, G., Randich, S., Asplund, M., et al. 2012, The Messenger, 147, 25 [NASA ADS] [Google Scholar]
  30. Gilmore, G., Randich, S., Worley, C. C., et al. 2022, A&A, 666, A120 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  31. Grisoni, V., Matteucci, F., Romano, D., & Fu, X. 2019, MNRAS, 489, 3539 [NASA ADS] [CrossRef] [Google Scholar]
  32. Guiglion, G., de Laverny, P., Recio-Blanco, A., et al. 2016, A&A, 595, A18 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  33. Guiglion, G., Chiappini, C., Romano, D., et al. 2019, A&A, 623, A99 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  34. Halsey, L. G., Curran-Everett, D., Vowler, S. L., & Drummond, G. B. 2015, Nat. Methods, 12, 179 [Google Scholar]
  35. Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357 [NASA ADS] [CrossRef] [Google Scholar]
  36. Hastie, T., & Tibshirani, R. 1990, Generalized Additive Models, Chapman & Hall/CRC Monographs on Statistics & Applied Probability (UK: Taylor & Francis) [Google Scholar]
  37. Hourihane, A., François, P., Worley, C. C., et al. 2023, A&A, 676, A129 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  38. Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [NASA ADS] [CrossRef] [Google Scholar]
  39. Kartsonaki, C. 2016, Diagnostic Histopathology, 22, 263 [Google Scholar]
  40. Kervella, P., Arenou, F., & Thévenin, F. 2022, A&A, 657, A7 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  41. Knauth, D. C., Federman, S. R., Lambert, D. L., & Crane, P. 2000, Nature, 405, 656 [Google Scholar]
  42. Lagarde, N., Decressin, T., Charbonnel, C., et al. 2012, A&A, 543, A108 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  43. Lin, M., Lucas, H. C., & Shmueli, G. 2013, Inf. Syst. Res., 24, 906 [Google Scholar]
  44. Llorente de Andrés, F., Chavero, C., de la Reza, R., Roca-Fàbrega, S., & Cifuentes, C. 2021, A&A, 654, A137 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  45. Llorente de Andrés, F., de la Reza, R., Cruz, P., et al. 2024, A&A, 684, A28 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  46. Lodders, K., Palme, H., & Gail, H. P. 2009, Landolt Börnstein, 4B, 712 [Google Scholar]
  47. Magrini, L., Sestito, P., Randich, S., & Galli, D. 2009, A&A, 494, 95 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  48. Martos, G., Meléndez, J., Rathsam, A., & Carvalho Silva, G. 2023, MNRAS, 522, 3217 [NASA ADS] [CrossRef] [Google Scholar]
  49. McKinney, W. 2010, in Proceedings of the 9th Python in Science Conference, eds. S. van der Walt & J. Millman, 56 [CrossRef] [Google Scholar]
  50. Mints, A., & Hekker, S. 2017, A&A, 604, A108 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  51. Mints, A., & Hekker, S. 2018, A&A, 618, A54 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  52. Molaro, P., Izzo, L., Mason, E., Bonifacio, P., & Della Valle, M. 2016, MNRAS, 463, L117 [NASA ADS] [CrossRef] [Google Scholar]
  53. Molaro, P., Bonifacio, P., Cupani, G., & Howk, J. C. 2024, A&A, 690, A38 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  54. Mucciarelli, A., Monaco, L., Bonifacio, P., et al. 2022, A&A, 661, A153 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  55. Murtagh, F., & Contreras, P. 2012, Data Mining and Knowledge Discovery, 2, 86 [Google Scholar]
  56. Murtagh, F., & Legendre, P. 2014, J. Class., 31, 274 [CrossRef] [Google Scholar]
  57. Nuzzo, R. 2014, Nature, 506, 150 [Google Scholar]
  58. Ochsenbein, F. 1996, The VizieR database of astronomical catalogues [Google Scholar]
  59. Olive, K. A., & Schramm, D. N. 1992, Nature, 360, 439 [Google Scholar]
  60. Piau, L., & Turck-Chièze, S. 2002, ApJ, 566, 419 [Google Scholar]
  61. Pinsonneault, M. 1997, Ann. Rev. Astron. Astrophys., 35, 557 [Google Scholar]
  62. Pitrou, C., Coc, A., Uzan, J.-P., & Vangioni, E. 2021, MNRAS, 502, 2474 [NASA ADS] [CrossRef] [Google Scholar]
  63. Randich, S., & Magrini, L. 2021, Front. Astron. Space Sci., 8, 6 [NASA ADS] [CrossRef] [Google Scholar]
  64. Randich, S., Gilmore, G., & Gaia-ESO Consortium 2013, The Messenger, 154, 47 [NASA ADS] [Google Scholar]
  65. Randich, S., Pasquini, L., Franciosini, E., et al. 2020, A&A, 640, L1 [EDP Sciences] [Google Scholar]
  66. Randich, S., Gilmore, G., Magrini, L., et al. 2022, A&A, 666, A121 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  67. Rebolo, R., Molaro, P., & Beckman, J. E. 1988, A&A, 192, 192 [NASA ADS] [Google Scholar]
  68. Romano, D., Matteucci, F., Molaro, P., & Bonifacio, P. 1999, A&A, 352, 117 [NASA ADS] [Google Scholar]
  69. Romano, D., Magrini, L., Randich, S., et al. 2021, A&A, 653, A72 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  70. Rukeya, R., Lü, G., Wang, Z., & Zhu, C. 2017, PASP, 129, 074201 [NASA ADS] [CrossRef] [Google Scholar]
  71. Ryan, S. G., Beers, T. C., Kajino, T., & Rosolankova, K. 2001, ApJ, 547, 231 [NASA ADS] [CrossRef] [Google Scholar]
  72. Sackmann, I. J., & Boothroyd, A. I. 1992, ApJ, 392, L71 [NASA ADS] [CrossRef] [Google Scholar]
  73. Sayeed, M., Ness, M. K., Montet, B. T., et al. 2024, ApJ, 964, 42 [NASA ADS] [CrossRef] [Google Scholar]
  74. Sbordone, L., Bonifacio, P., Caffau, E., et al. 2010, A&A, 522, A26 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  75. Schwarz, G. 1978, Annal. Stat., 6, 461 [Google Scholar]
  76. Smiljanic, R. 2020, Mem. Soc. Astron. Italiana, 91, 142 [NASA ADS] [Google Scholar]
  77. Smiljanic, R., Korn, A. J., Bergemann, M., et al. 2014, A&A, 570, A122 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  78. Somers, G., & Pinsonneault, M. H. 2015, MNRAS, 449, 4131 [NASA ADS] [CrossRef] [Google Scholar]
  79. Spearman, C. 1904, Am. J. Psychol., 15, 72 [Google Scholar]
  80. Spite, F., & Spite, M. 1982, A&A, 115, 357 [NASA ADS] [Google Scholar]
  81. Starrfield, S., Truran, J. W., Sparks, W. M., & Arnould, M. 1978, ApJ, 222, 600 [NASA ADS] [CrossRef] [Google Scholar]
  82. Stonkute, E., Koposov, S. E., Howes, L. M., et al. 2016, MNRAS, 460, 1131 [CrossRef] [Google Scholar]
  83. Stonkute, E., Chorniy, Y., Tautvaisiene, G., et al. 2020, AJ, 159, 90 [Google Scholar]
  84. Sun, T., Bi, S., Chen, X., et al. 2025, MNRAS, 536, 462 [Google Scholar]
  85. Therneau, T., & Grambsch, P. 2000, Modeling Survival Data: Extending the Cox Model (New York: Springer) [CrossRef] [Google Scholar]
  86. Therneau, T. M. 2024, A Package for Survival Analysis in R, r package version 3.8-3 [Google Scholar]
  87. Tsujimoto, T., & Baba, J. 2020, ApJ, 904, 137 [Google Scholar]
  88. Wang, E. X., Nordlander, T., Asplund, M., et al. 2021, MNRAS, 500, 2159 [Google Scholar]
  89. Waskom, M. L. 2021, J. Open Source Softw., 6, 3021 [CrossRef] [Google Scholar]
  90. Wasserstein, R. L., & Lazar, N. A. 2016, Am. Stat., 70, 129 [Google Scholar]
  91. Worley, C. C., Smiljanic, R., Magrini, L., et al. 2024, A&A, 684, A148 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  92. Zhang, H., Chen, Y., Zhao, G., et al. 2023, MNRAS, 520, 4815 [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.