Open Access
Issue
A&A
Volume 699, July 2025
Article Number A128
Number of page(s) 13
Section Galactic structure, stellar clusters and populations
DOI https://doi.org/10.1051/0004-6361/202451968
Published online 02 July 2025
  1. Abdurro’uf, Accetta, K., Aerts, C., et al. 2022, ApJS, 259, 35 [NASA ADS] [CrossRef] [Google Scholar]
  2. Ahumada, R., Allende Prieto, C., Almeida, A., et al. 2020, ApJS, 249, 3 [NASA ADS] [CrossRef] [Google Scholar]
  3. Alvarez, R., & Plez, B. 1998, A&A, 330, 1109 [NASA ADS] [Google Scholar]
  4. 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. I. Barnes, Thomas G., & F. N. Bash, 25 [Google Scholar]
  5. Baeza, I., Fernández-Trincado, J. G., Villanova, S., et al. 2022, A&A, 662, A47 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  6. Bajkova, A. T., Smirnov, A. A., & Bobylev, V. V. 2023, Astrophys. Bull., 78, 499 [Google Scholar]
  7. Bastian, N., & Lardo, C. 2018, Annu. Rev. Astron. Astrophys., 56, 83 [Google Scholar]
  8. Baumgardt, H., & Vasiliev, E. 2021, MNRAS, 505, 5957 [NASA ADS] [CrossRef] [Google Scholar]
  9. Beaton, R. L., Oelkers, R. J., Hayes, C. R., et al. 2021, AJ, 162, 302 [NASA ADS] [CrossRef] [Google Scholar]
  10. Bekki, K., & Tsujimoto, T. 2017, ApJ, 844, 34 [Google Scholar]
  11. Bica, E. L., & Pastoriza, M. G. 1983, Astrophys. Space Sci., 91, 99 [Google Scholar]
  12. Blanton, M. R., Bershady, M. A., Abolfathi, B., et al. 2017, AJ, 154, 28 [Google Scholar]
  13. Bowen, I. S., & Vaughan, A. H. J., 1973, Appl. Opt., 12, 1430 [Google Scholar]
  14. Bragaglia, A., Carretta, E., D’Orazi, V., et al. 2017, A&A, 607, A44 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  15. Bressan, A., Marigo, P., Girardi, L., et al. 2012, MNRAS, 427, 127 [NASA ADS] [CrossRef] [Google Scholar]
  16. Cardelli, J. A., Clayton, G. C., & Mathis, J. S. 1989, ApJ, 345, 245 [Google Scholar]
  17. Carretta, E., & Bragaglia, A. 2018, A&A, 614, A109 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  18. Carretta, E., Bragaglia, A., Gratton, R., & Lucatello, S. 2009a, A&A, 505, 139 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  19. Carretta, E., Bragaglia, A., Gratton, R. G., et al. 2009b, A&A, 505, 117 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  20. Carretta, E., Bragaglia, A., Gratton, R., et al. 2010, ApJ, 712, L21 [NASA ADS] [CrossRef] [Google Scholar]
  21. Cottrell, P. L., & Da Costa, G. S. 1981, ApJ, 245, L79 [NASA ADS] [CrossRef] [Google Scholar]
  22. Cunha, K., Smith, V. V., Hasselquist, S., et al. 2017, ApJ, 844, 145 [Google Scholar]
  23. Decressin, T., Meynet, G., Charbonnel, C., Prantzos, N., & Ekström, S. 2007, A&A, 464, 1029 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  24. de Mink, S. E., Pols, O. R., Langer, N., & Izzard, R. G. 2009, A&A, 507, L1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  25. Fernández-Trincado, J. G., Zamora, O., García-Hernández, D. A., et al. 2017, ApJ, 846, L2 [Google Scholar]
  26. Fernández-Trincado, J. G., Beers, T. C., Placco, V. M., et al. 2019a, ApJ, 886, L8 [Google Scholar]
  27. Fernández-Trincado, J. G., Beers, T. C., Tang, B., et al. 2019b, MNRAS, 488, 2864 [NASA ADS] [Google Scholar]
  28. Fernández-Trincado, J. G., Mennickent, R., Cabezas, M., et al. 2019c, A&A, 631, A97 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  29. Fernández-Trincado, J. G., Zamora, O., Souto, D., et al. 2019d, A&A, 627, A178 [Google Scholar]
  30. Fernández-Trincado, J. G., Beers, T. C., & Minniti, D. 2020a, A&A, 644, A83 [Google Scholar]
  31. Fernández-Trincado, J. G., Beers, T. C., Minniti, D., et al. 2020b, ApJ, 903, L17 [Google Scholar]
  32. Fernández-Trincado, J. G., Beers, T. C., Minniti, D., et al. 2020c, A&A, 643, L4 [Google Scholar]
  33. Fernández-Trincado, J. G., Beers, T. C., Barbuy, B., et al. 2021, ApJ, 918, L9 [CrossRef] [Google Scholar]
  34. Fernández-Trincado, J. G., Villanova, S., Geisler, D., et al. 2022, A&A, 658, A116 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  35. Forbes, D. A., & Bridges, T. 2010, MNRAS, 404, 1203 [NASA ADS] [Google Scholar]
  36. Gaia Collaboration (Brown, A. G. A., et al.) 2018, A&A, 616, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  37. Gaia Collaboration (Vallenari, A., et al.) 2023, A&A, 674, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  38. García Pérez, A. E., et al. 2016, AJ, 151, 144 [CrossRef] [Google Scholar]
  39. Geisler, D., Villanova, S., O’Connell, J. E., et al. 2021, A&A, 652, A157 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  40. Gieles, M., & Charbonnel, C. 2019, Proc. Int. Astron. Union, 14, 297 [Google Scholar]
  41. González-Díaz, D., Fernández-Trincado, J. G., Villanova, S., et al. 2023, MNRAS, 526, 6274 [CrossRef] [Google Scholar]
  42. Gratton, R., Sneden, C., & Carretta, E. 2004, Annu. Rev. Astron. Astrophys., 42, 385 [Google Scholar]
  43. Gratton, R. G., Carretta, E., & Bragaglia, A. 2012, A&A Rev., 20, 50 [NASA ADS] [CrossRef] [Google Scholar]
  44. Grevesse, N., Scott, P., Asplund, M., & Sauval, A. J. 2015, A&A, 573, A27 [CrossRef] [EDP Sciences] [Google Scholar]
  45. Gunn, J. E., Siegmund, W. A., Mannery, E. J., et al. 2006, AJ, 131, 2332 [NASA ADS] [CrossRef] [Google Scholar]
  46. Gustafsson, B., Edvardsson, B., Eriksson, K., et al. 2008, A&A, 486, 951 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  47. Harris, W. E. 2010, arXiv e-prints, [arXiv:1012.3224] [Google Scholar]
  48. Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357 [NASA ADS] [CrossRef] [Google Scholar]
  49. Hasselquist, S., Shetrone, M., Cunha, K., et al. 2016, ApJ, 833, 81 [Google Scholar]
  50. Hawkins, K., Masseron, T., Jofré, P., et al. 2016, A&A, 594, A43 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  51. Henao, L., Villanova, S., Geisler, D., & Fernández-Trincado, J. G. 2025, A&A, 696, A154 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  52. Hughes, J., Kunder, A., Larson, K., et al. 2023, in American Astronomical Society Meeting Abstracts, 241, 402.17 [Google Scholar]
  53. Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [NASA ADS] [CrossRef] [Google Scholar]
  54. Johnson, C. I., Rich, R. M., Caldwell, N., et al. 2018, AJ, 155, 71 [Google Scholar]
  55. Kruijssen, J. M. D., Pfeffer, J. L., Reina-Campos, M., Crain, R. A., & Bastian, N. 2018, MNRAS, 486, 3180 [Google Scholar]
  56. Majewski, S. R., Schiavon, R. P., Frinchaboy, P. M., et al. 2017, AJ, 154, 94 [NASA ADS] [CrossRef] [Google Scholar]
  57. Marino, A. F., Milone, A. P., Piotto, G., et al. 2009, A&A, 505, 1099 [CrossRef] [EDP Sciences] [Google Scholar]
  58. Martín-Navarro, I., La Barbera, F., Vazdekis, A., Falcón-Barroso, J., & Ferreras, I. 2015, MNRAS, 447, 1033 [Google Scholar]
  59. Massari, D., Koppelman, H. H., & Helmi, A. 2019, A&A, 630, L4 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  60. Masseron, T., Merle, T., & Hawkins, K. 2016, BACCHUS: Brussels Automatic Code for Characterizing High accUracy Spectra, Astrophysics Source Code Library, [record ascl:1605.004] [Google Scholar]
  61. Masseron, T., García-Hernández, D. A., Mészáros, S., et al. 2019, A&A, 622, A191 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  62. Mauro, F., Moni Bidin, C., Cohen, R., et al. 2012, ApJ, 761, L29 [Google Scholar]
  63. Mészáros, S., Martell, S. L., Shetrone, M., et al. 2015, AJ, 149, 153 [Google Scholar]
  64. Mészáros, S., Masseron, T., García-Hernández, D. A., et al. 2020, MNRAS, 492, 1641 [Google Scholar]
  65. Minniti, D., Lucas, P., Emerson, J., et al. 2010, New Astron., 15, 433 [NASA ADS] [CrossRef] [Google Scholar]
  66. Mott, A., Steffen, M., Caffau, E., & Strassmeier, K. G. 2020, A&A, 638, A58 [EDP Sciences] [Google Scholar]
  67. Myeong, G. C., Evans, N. W., Belokurov, V., Sanders, J. L., & Koposov, S. E. 2018, ApJ, 863, L28 [NASA ADS] [CrossRef] [Google Scholar]
  68. Nataf, D. M., Gonzalez, O. A., Casagrande, L., et al. 2016, MNRAS, 456, 2692 [Google Scholar]
  69. Nataf, D. M., Wyse, R. F. G., Schiavon, R. P., et al. 2019, AJ, 158, 14 [Google Scholar]
  70. Navin, C. A., Martell, S., & Zucker, D. 2015, MNRAS, 453, 531 [Google Scholar]
  71. Nidever, D. L., Holtzman, J. A., Allende Prieto, C., et al. 2015, AJ, 150, 173 [NASA ADS] [CrossRef] [Google Scholar]
  72. O’Donnell, J. E. 1994, ApJ, 422, 158 [Google Scholar]
  73. Pancino, E., Romano, D., Tang, B., et al. 2017, A&A, 601, A112 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  74. Pérez, A. E. G., Prieto, C. A., Holtzman, J. A., et al. 2016, AJ, 151, 144 [CrossRef] [Google Scholar]
  75. Plez, B. 2012, Turbospectrum: Code for spectral synthesis, Astrophysics Source Code Library [record ascl:1205.004] [Google Scholar]
  76. Prantzos, N., Abia, C., Cristallo, S., Limongi, M., & Chieffi, A. 2019, MNRAS, 491, 1832 [NASA ADS] [Google Scholar]
  77. Renzini, A., D’Antona, F., Cassisi, S., et al. 2015, MNRAS, 454, 4197 [Google Scholar]
  78. Roberts, J. D., Pinsonneault, M. H., Johnson, J. A., et al. 2024, MNRAS, 530, 149 [Google Scholar]
  79. Romero-Colmenares, M., Fernández-Trincado, J. G., Geisler, D., et al. 2021, A&A, 652, A158 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  80. Saito, R. K., Hempel, M., Minniti, D., et al. 2012, A&A, 537, A107 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  81. Sales-Silva, J. V., Cunha, K., Smith, V. V., et al. 2024, ApJ, 965, 119 [NASA ADS] [CrossRef] [Google Scholar]
  82. Santana, F. A., Beaton, R. L., Covey, K. R., et al. 2021, AJ, 162, 303 [NASA ADS] [CrossRef] [Google Scholar]
  83. Saracino, S., Dalessandro, E., Ferraro, F. R., et al. 2019, ApJ, 874, 86 [Google Scholar]
  84. Sha, G., Marceau, R. K., Gao, X., Muddle, B. C., & Ringer, S. 2011, Acta Mater., 59, 1659 [Google Scholar]
  85. Shetrone, M. D. 1996, AJ, 112, 1517 [NASA ADS] [CrossRef] [Google Scholar]
  86. Shetrone, M., Bizyaev, D., Lawler, J. E., et al. 2015, ApJS, 221, 24 [Google Scholar]
  87. Skrutskie, M. F., Cutri, R. M., Stiening, R., et al. 2006, AJ, 131, 1163 [NASA ADS] [CrossRef] [Google Scholar]
  88. Smith, G. H. 1987, PASP, 99, 67 [Google Scholar]
  89. Smith, J., & Doe, J. 2021, A&A, 645, A123 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  90. Smith, V. V., Cunha, K., Shetrone, M. D., et al. 2013, ApJ, 765, 16 [Google Scholar]
  91. Smith, V. V., Bizyaev, D., Cunha, K., et al. 2021, AJ, 161, 254 [NASA ADS] [CrossRef] [Google Scholar]
  92. Taylor, M. B. 2005, in Astronomical Society of the Pacific Conference Series, 347, Astronomical Data Analysis Software and Systems XIV, eds. P. Shopbell, M. Britton, & R. Ebert, 29 [Google Scholar]
  93. Valenti, E., Origlia, L., & Ferraro, F. R. 2005, MNRAS, 361, 272 [NASA ADS] [CrossRef] [Google Scholar]
  94. Valenti, E., Origlia, L., & Rich, R. M. 2011, MNRAS, 414, 2690 [NASA ADS] [CrossRef] [Google Scholar]
  95. Ventura, P., D’Antona, F., Mazzitelli, I., & Gratton, R. 2001, ApJ, 550, L65 [CrossRef] [Google Scholar]
  96. Villanova, S., Geisler, D., & Piotto, G. 2010, ApJ, 722, L18 [NASA ADS] [CrossRef] [Google Scholar]
  97. Wilson, J. C., Hearty, F. R., Skrutskie, M. F., et al. 2019, PASP, 131, 055001 [NASA ADS] [CrossRef] [Google Scholar]
  98. Yong, D., & Grundahl, F. 2008, ApJ, 672, L29 [NASA ADS] [CrossRef] [Google Scholar]
  99. Yong, D., Grundahl, F., Nissen, P. E., Jensen, H. R., & Lambert, D. L. 2005, A&A, 438, 875 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  100. Yong, D., Grundahl, F., D’Antona, F., et al. 2009, ApJ, 695, L62 [NASA ADS] [CrossRef] [Google Scholar]
  101. Zamora, O., García-Hernández, D. A., Allende Prieto, C., et al. 2015, AJ, 149, 181 [CrossRef] [Google Scholar]
  102. Zasowski, G., Cohen, R. E., Chojnowski, S. D., et al. 2017, AJ, 154, 198 [Google Scholar]
  103. Zinn, R. 1985, ApJ, 293, 424 [Google Scholar]

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