Open Access
| Issue |
A&A
Volume 700, August 2025
|
|
|---|---|---|
| Article Number | A160 | |
| Number of page(s) | 12 | |
| Section | Galactic structure, stellar clusters and populations | |
| DOI | https://doi.org/10.1051/0004-6361/202555272 | |
| Published online | 14 August 2025 | |
- Aguado-Agelet, F., Massari, D., Monelli, M., et al. 2025, A&A, submitted [arXiv:2502.20436] [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Aoki, M., Aoki, W., & Francois, P. 2020, A&A, 636, A111 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Arora, R., Basu, A., Mianjy, P., & Mukherjee, A. 2016, arXiv e-prints [arXiv:1611.01491] [Google Scholar]
- Bailer-Jones, C., Rybizki, J., Fouesneau, M., Demleitner, M., & Andrae, R. 2021, AJ, 161, 147 [NASA ADS] [CrossRef] [Google Scholar]
- Beasley, M. A. 2020, Reviews in Frontiers of Modern Astrophysics: From Space Debris to Cosmology, 245 [Google Scholar]
- Bekki, K., & Tsujimoto, T. 2019, ApJ, 886, 121 [NASA ADS] [CrossRef] [Google Scholar]
- Belokurov, V., & Kravtsov, A. 2024, MNRAS, 528, 3198 [CrossRef] [Google Scholar]
- Belokurov, V., Zucker, D. B., Evans, N. W., et al. 2006, ApJ, 642, L137 [Google Scholar]
- Belokurov, V., Erkal, D., Evans, N., Koposov, S., & Deason, A. J. 2018, MNRAS, 478, 611 [NASA ADS] [CrossRef] [Google Scholar]
- Bensby, T., Feltzing, S., & Lundström, I. 2003, A&A, 410, 527 [CrossRef] [EDP Sciences] [Google Scholar]
- Blanco-Cuaresma, S., Soubiran, C., Heiter, U., et al. 2015, A&A, 577, A47 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Bonaca, A., & Price-Whelan, A. M. 2025, New A Rev., 100, 101713 [Google Scholar]
- Bonaca, A., Naidu, R. P., Conroy, C., et al. 2021, ApJ, 909, L26 [NASA ADS] [CrossRef] [Google Scholar]
- Borsato, N. W., Martell, S. L., & Simpson, J. D. 2020, MNRAS, 492, 1370 [NASA ADS] [CrossRef] [Google Scholar]
- Bullock, J. S., & Johnston, K. V. 2005, ApJ, 635, 931 [Google Scholar]
- Carraro, G., & Lia, C. 2000, A&A, 357, 977 [NASA ADS] [Google Scholar]
- Carretta, E., Bragaglia, A., Gratton, R. G., et al. 2010, A&A, 516, A55 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Carrillo, A., Hawkins, K., Jofré, P., et al. 2022, MNRAS, 513, 1557 [CrossRef] [Google Scholar]
- Ceccarelli, E., Massari, D., Mucciarelli, A., et al. 2024a, A&A, 684, A37 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Ceccarelli, E., Mucciarelli, A., Massari, D., Bellazzini, M., & Matsuno, T. 2024b, A&A, 691, A226 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Ceccarelli, E., Massari, D., Aguado-Agelet, F., et al. 2025, A&A, submitted [arXiv:2503.02939] [Google Scholar]
- Chen, Y., & Gnedin, O. Y. 2024, OJA, 7, 23 [Google Scholar]
- Chen, B., D’Onghia, E., Pardy, S. A., et al. 2018, ApJ, 860, 70 [NASA ADS] [CrossRef] [Google Scholar]
- Chicco, D. 2021, Siamese Neural Networks: An Overview (New York, NY: Springer US), 73 [Google Scholar]
- Conroy, C., Naidu, R. P., Zaritsky, D., et al. 2019, ApJ, 887, 237 [NASA ADS] [CrossRef] [Google Scholar]
- Cooper, A. P., Cole, S., Frenk, C., et al. 2010, MNRAS, 406, 744 [NASA ADS] [CrossRef] [Google Scholar]
- da Silva, A. R., & Smiljanic, R. 2023, A&A, 677, A74 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Dai, B., Robertson, B. E., & Madau, P. 2018, ApJ, 858, 73 [NASA ADS] [CrossRef] [Google Scholar]
- Das, P., Hawkins, K., & Jofré, P. 2020, MNRAS, 493, 5195 [NASA ADS] [CrossRef] [Google Scholar]
- de Graaff, A., Rix, H.-W., Carniani, S., et al. 2024, A&A, 684, A87 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- de Jong, R. S., Agertz, O., Berbel, A. A., et al. 2019, The Messenger, 175, 3 [NASA ADS] [Google Scholar]
- De Silva, G. M., Freeman, K. C., Bland-Hawthorn, J., et al. 2015, MNRAS, 449, 2604 [NASA ADS] [CrossRef] [Google Scholar]
- Dodd, E., Callingham, T. M., Helmi, A., et al. 2023, A&A, 670, L2 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- D’Onghia, E., Springel, V., Hernquist, L., & Keres, D. 2010, ApJ, 709, 1138 [Google Scholar]
- Feuillet, D. K., Feltzing, S., Sahlholdt, C. L., & Casagrande, L. 2020, MNRAS, 497, 109 [Google Scholar]
- Freeman, K., & Bland-Hawthorn, J. 2002, ARA&A, 40, 487 [Google Scholar]
- Gibbons, S. L. J., Belokurov, V., & Evans, N. W. 2017, MNRAS, 464, 794 [NASA ADS] [CrossRef] [Google Scholar]
- Gilmore, G., Randich, S., Worley, C., et al. 2022, A&A, 666, A120 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Giribaldi, R. E., & Smiljanic, R. 2023, A&A, 673, A18 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Gori, M., Monfardini, G., & Scarselli, F. 2005, in Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2, 729 [Google Scholar]
- Gratton, R. G., Carretta, E., & Bragaglia, A. 2012, A&A Rev., 20, 50 [NASA ADS] [CrossRef] [Google Scholar]
- Griffith, E. J., Hogg, D. W., Hasselquist, S., et al. 2025, AJ, 169, 280 [Google Scholar]
- Hawkins, K., Jofre, P., Masseron, T., & Gilmore, G. 2015, MNRAS, 453, 758 [NASA ADS] [CrossRef] [Google Scholar]
- Hayes, C. R., Majewski, S. R., Shetrone, M., et al. 2018, ApJ, 852, 49 [NASA ADS] [CrossRef] [Google Scholar]
- Helmi, A., & Tim de Zeeuw, P. 2000, MNRAS, 319, 657 [Google Scholar]
- Helmi, A., Veljanoski, J., Breddels, M. A., Tian, H., & Sales, L. V. 2017, A&A, 598, A58 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Helmi, A., Babusiaux, C., Koppelman, H. H., et al. 2018, Nature, 563, 85 [Google Scholar]
- Horta, D., Schiavon, R. P., Mackereth, J. T., et al. 2023, MNRAS, 520, 5671 [NASA ADS] [CrossRef] [Google Scholar]
- Jin, S., Trager, S. C., Dalton, G. B. et al. 2024, MNRAS, 530, 2688 [NASA ADS] [CrossRef] [Google Scholar]
- Johnson, C. I., & Pilachowski, C. A. 2010, ApJ, 722, 1373 [NASA ADS] [CrossRef] [Google Scholar]
- Jordi, K., & Grebel, E. K. 2010, A&A, 522, A71 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Kolmogorov, A. 1933, Giorn Dell’inst Ital Degli Att, 4, 89 [Google Scholar]
- Koppelman, H. H., Bos, R. O., & Helmi, A. 2020, A&A, 642, L18 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Lagarde, N., Reylé, C., Robin, A. C., et al. 2019, A&A, 621, A24 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Lane, J. M., Bovy, J., & Mackereth, J. T. 2022, MNRAS, 510, 5119 [NASA ADS] [CrossRef] [Google Scholar]
- Lane, J. M., Bovy, J., & Mackereth, J. T. 2023, MNRAS, 526, 1209 [NASA ADS] [CrossRef] [Google Scholar]
- Lövdal, S. S., Ruiz-Lara, T., Koppelman, H. H., et al. 2022, A&A, 665, A57 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Mainieri, V., Anderson, R. I., Brinchmann, J., et al. 2024, arXiv e-prints [arXiv:2403.05398] [Google Scholar]
- Majewski, S. R., Schiavon, R. P., Frinchaboy, P. M., et al. 2017, AJ, 154, 94 [NASA ADS] [CrossRef] [Google Scholar]
- Malhan, K., Ibata, R. A., Sharma, S., et al. 2022, ApJ, 926, 107 [NASA ADS] [CrossRef] [Google Scholar]
- Martell, S. L., & Grebel, E. K. 2010, A&A, 519, A14 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Martell, S. L., Shetrone, M. D., Lucatello, S., et al. 2016, ApJ, 825, 146 [Google Scholar]
- Martin, N. F., Venn, K. A., Aguado, D. S., et al. 2022, Nature, 601, 45 [NASA ADS] [CrossRef] [Google Scholar]
- Massari, D., Koppelman, H. H., & Helmi, A. 2019, A&A, 630, L4 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Massari, D., Aguado-Agelet, F., Monelli, M., et al. 2023, A&A, 680, A20 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- McMillan, P. J. 2017, MNRAS, 465, 76 [NASA ADS] [CrossRef] [Google Scholar]
- Mitschang, A. W., De Silva, G., Sharma, S., & Zucker, D. B. 2013, MNRAS, 428, 2321 [NASA ADS] [CrossRef] [Google Scholar]
- Monty, S., Belokurov, V., Sanders, J. L., et al. 2024, MNRAS, 533, 2420 [NASA ADS] [CrossRef] [Google Scholar]
- Mori, A., Di Matteo, P., Salvadori, S., et al. 2024, A&A, 690, A136 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Morinaga, Y., Ishiyama, T., Kirihara, T., & Kinjo, K. 2019, MNRAS, 487, 2718 [Google Scholar]
- Nissen, P. E., & Schuster, W. J. 2010, A&A, 511, L10 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Pancino, E., Romano, D., Tang, B., et al. 2017, A&A, 601, A112 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Pérez, A. E. G., Prieto, C. A., Holtzman, J. A., et al. 2016, AJ, 151, 144 [CrossRef] [Google Scholar]
- Randich, S., Gilmore, G., Magrini, L., et al. 2022, A&A, 666, A121 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Recio-Blanco, A. 2018, A&A, 620, A194 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Rodrigues, M., Hammer, F., Flores, H., Puech, M., & Athanassoula, E. 2017, MNRAS, 465, 1157 [NASA ADS] [CrossRef] [Google Scholar]
- Ruiz-Lara, T., Matsuno, T., Lövdal, S. S., et al. 2022, A&A, 665, A58 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Schiappacasse-Ulloa, J., Magrini, L., Lucatello, S., et al. 2025, A&A, 699, A41 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Searle, L., & Zinn, R. 1978, ApJ, 225, 357 [Google Scholar]
- Shih, D., Buckley, M. R., & Necib, L. 2024, MNRAS, stae446 [Google Scholar]
- Spina, L., Magrini, L., Sacco, G. G., et al. 2022, A&A, 668, A16 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- The MSE Science Team (Babusiaux, C., et al.) 2019, arXiv e-prints [arXiv:1904.04907] [Google Scholar]
- Tissera, P. B., Beers, T. C., Carollo, D., & Scannapieco, C. 2014, MNRAS, 439, 3128 [NASA ADS] [CrossRef] [Google Scholar]
- Tolstoy, E., Hill, V., & Tosi, M. 2009, ARA&A, 47, 371 [Google Scholar]
- Tsujimoto, T., & Shigeyama, T. 2003, ApJ, 590, 803 [NASA ADS] [CrossRef] [Google Scholar]
- Vasiliev, E. 2019, MNRAS, 482, 1525 [Google Scholar]
- Vasiliev, E., & Baumgardt, H. 2021, MNRAS, 505, 5978 [NASA ADS] [CrossRef] [Google Scholar]
- Villanova, S., Geisler, D., Gratton, R. G., & Cassisi, S. 2014, ApJ, 791, 107 [Google Scholar]
- Vincenzo, F., Spitoni, E., Calura, F., et al. 2019, MNRAS, 487, L47 [NASA ADS] [CrossRef] [Google Scholar]
- Yan, H., Li, H., Wang, S., et al. 2022, The Innovation, 3, 100224 [NASA ADS] [CrossRef] [Google Scholar]
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