EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues Volume 702 (October 2025) A&A, 702 (2025) A148 References
Open Access
Issue
A&A
Volume 702, October 2025
Article Number A148
Number of page(s) 14
Section Galactic structure, stellar clusters and populations
DOI https://doi.org/10.1051/0004-6361/202555681
Published online 16 October 2025
  1. Belokurov, V., Evans, N. W., & Du, Y. L. 2003, MNRAS, 341, 1373 [Google Scholar]
  2. Belokurov, V., Evans, N. W., & Le Du, Y. 2004, MNRAS, 352, 233 [Google Scholar]
  3. Belokurov, V., Deason, A., Koposov, S., et al. 2018, MNRAS, 477, 1472 [Google Scholar]
  4. Blazko, S. 1907, Astron. Nachr., 175, 325 [NASA ADS] [CrossRef] [Google Scholar]
  5. Bobrick, A., Iorio, G., Belokurov, V., et al. 2024, MNRAS, 527, 12196 [Google Scholar]
  6. Chadid, M., Sneden, C., & Preston, G. W. 2017, ApJ, 835, 187 [Google Scholar]
  7. Cho, K., Van Merriënboer, B., Gulcehre, C., et al. 2014, arXiv e-prints [arXiv:1406.1078] [Google Scholar]
  8. Clementini, G., Carretta, E., Gratton, R., et al. 1995, AJ, 110, 2319 [Google Scholar]
  9. Clementini, G., Cignoni, M., Contreras Ramos, R., et al. 2012, ApJ, 756, 108 [NASA ADS] [CrossRef] [Google Scholar]
  10. Clementini, G., Ripepi, V., Molinaro, R., et al. 2019, A&A, 622, A60 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  11. Clementini, G., Ripepi, V., Garofalo, A., et al. 2023, A&A, 674, A18 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  12. Connor, J. T., Martin, R. D., & Atlas, L. E. 1994, IEEE Trans. Neural Netw., 5, 240 [Google Scholar]
  13. Crestani, J., Fabrizio, M., Braga, V. F., et al. 2021, ApJ, 908, 20 [Google Scholar]
  14. Dall’Ora, M., Clementini, G., Kinemuchi, K., et al. 2006, ApJ, 653, L109 [CrossRef] [Google Scholar]
  15. Debosscher, J., Sarro, L., Aerts, C., et al. 2007, A&A, 475, 1159 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  16. Dékány, I., & Grebel, E. K. 2022, ApJS, 261, 33 [CrossRef] [Google Scholar]
  17. Dékány, I., Grebel, E. K., & Pojmanski, G. 2021, ApJ, 920, 33 [CrossRef] [Google Scholar]
  18. D’Orazi, V., Storm, N., Casey, A. R., et al. 2024, MNRAS, 531, 137 [CrossRef] [Google Scholar]
  19. Drake, A., Catelan, M., Djorgovski, S., et al. 2013, ApJ, 763, 32 [NASA ADS] [CrossRef] [Google Scholar]
  20. Fabrizio, M., Braga, V. F., Crestani, J., et al. 2021, ApJ, 919, 118 [NASA ADS] [CrossRef] [Google Scholar]
  21. Gaia Collaboration (Prusti, T., et al.) 2016, A&A, 595, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  22. Gaia Collaboration (Vallenari, A., et al.) 2023, A&A, 674, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  23. Garofalo, A., Cusano, F., Clementini, G., et al. 2013, ApJ, 767, 62 [NASA ADS] [CrossRef] [Google Scholar]
  24. Garofalo, A., Tantalo, M., Cusano, F., et al. 2021, ApJ, 916, 10 [NASA ADS] [CrossRef] [Google Scholar]
  25. Gilligan, C. K., Chaboyer, B., Marengo, M., et al. 2021, MNRAS, 503, 4719 [Google Scholar]
  26. Goodfellow, I., Bengio, Y., Courville, A., & Bengio, Y. 2016, Deep learning (Cambridge: MIT Press) [Google Scholar]
  27. Hajdu, G., Dékány, I., Catelan, M., Grebel, E. K., & Jurcsik, J. 2018, ApJ, 857, 55 [Google Scholar]
  28. Hoerl, A. E., & Kennard, R. W. 1970, Technometrics, 12, 55 [Google Scholar]
  29. Iorio, G., & Belokurov, V. 2019, MNRAS, 482, 3868 [NASA ADS] [CrossRef] [Google Scholar]
  30. Iorio, G., & Belokurov, V. 2021, MNRAS, 502, 5686 [Google Scholar]
  31. Jurcsik, J., & Kovacs, G. 1996, A&A, 312, 111 [Google Scholar]
  32. Kingma, D. P., & Ba, J. 2014, arXiv e-prints [arXiv:1412.6980] [Google Scholar]
  33. Li, L., Jamieson, K., DeSalvo, G., Rostamizadeh, A., & Talwalkar, A. 2018, J. Mach. Learn. Res., 18, 1 [Google Scholar]
  34. Li, X.-Y., Huang, Y., Liu, G.-C., Beers, T. C., & Zhang, H.-W. 2023, ApJ, 944, 88 [NASA ADS] [CrossRef] [Google Scholar]
  35. Liu, G. C., Huang, Y., Zhang, H. W., et al. 2020, ApJS, 247, 68 [NASA ADS] [CrossRef] [Google Scholar]
  36. Mahabal, A., Djorgovski, S., Turmon, M., et al. 2008, Astron. Nachr: Astron. Notes, 329, 288 [Google Scholar]
  37. Molnár, L., Pál, A., Plachy, E., et al. 2015, ApJ, 812, 2 [Google Scholar]
  38. Monti, L., Muraveva, T., Clementini, G., & Garofalo, A. 2024, Sensors, 24, 5203 [Google Scholar]
  39. Morgan, S. M., Wahl, J. N., & Wieckhorst, R. M. 2007, MNRAS, 374, 1421 [NASA ADS] [CrossRef] [Google Scholar]
  40. Muraveva, T., Clementini, G., Garofalo, A., & Cusano, F. 2020, MNRAS, 499, 4040 [NASA ADS] [CrossRef] [Google Scholar]
  41. Muraveva, T., Giannetti, A., Clementini, G., Garofalo, A., & Monti, L. 2025, MNRAS, 536, 2749 [Google Scholar]
  42. Nemec, J. M., Cohen, J. G., Ripepi, V., et al. 2013, ApJ, 773, 181 [CrossRef] [Google Scholar]
  43. Pancino, E., Britavskiy, N., Romano, D., et al. 2015, MNRAS, 447, 2404 [Google Scholar]
  44. Pedregosa, F., Varoquaux, G., Gramfort, A., et al. 2011, J. Mach. Learn. Res., 12, 2825 [Google Scholar]
  45. Preston, G. W. 1959, ApJ, 130, 507 [Google Scholar]
  46. Richards, J. W., Starr, D. L., Butler, N. R., et al. 2011, ApJ, 733, 10 [NASA ADS] [CrossRef] [Google Scholar]
  47. Robinson, T., Hochberg, M., & Renals, S. 1996, in Automatic Speech and Speaker Recognition: Advanced Topics (Springer), 233 [Google Scholar]
  48. Rodriguez, P., Wiles, J., & Elman, J. L. 1999, Connect. Sci., 11, 5 [Google Scholar]
  49. Sesar, B., Banholzer, S. R., Cohen, J. G., et al. 2014, ApJ, 793, 135 [NASA ADS] [CrossRef] [Google Scholar]
  50. Skowron, D. M., Soszynski, I., Udalski, A., et al. 2016, Acta Astron., 66, 269 [Google Scholar]
  51. Smith, H. A. 2004, RR Lyrae Stars (Cambridge University Press) [Google Scholar]
  52. Smolec, R. 2005, Acta Astron., 55, 59 [NASA ADS] [Google Scholar]
  53. Srivastava, N., Hinton, G., Krizhevsky, A., Sutskever, I., & Salakhutdinov, R. 2014, J. Mach. Learn. Res., 15, 1929 [Google Scholar]
  54. Tan, C. W., Bergmeir, C., Petitjean, F., & Webb, G. I. 2021, Data Mining Knowl. Discov., 35, 1032 [Google Scholar]
  55. Tibshirani, R. 1996, J. Roy. Statist. Soc. Ser. B: Statist. Methodol., 58, 267 [CrossRef] [Google Scholar]
  56. Virtanen, P., Gommers, R., Oliphant, T. E., et al. 2020, Nat. Methods, 17, 261 [Google Scholar]
  57. Willemsen, P., & Eyer, L. 2007, arXiv e-prints [arXiv:0712.2898] [Google Scholar]
  58. Williams, R. J., & Zipser, D. 1989, Neural Computat., 1, 270 [Google Scholar]
  59. WoZniak, P., Williams, S., Vestrand, W., & Gupta, V. 2004, ApJ, 128, 2965 [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.