EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues Volume 694 (February 2025) A&A, 694 (2025) A307 References
Open Access
Issue
A&A
Volume 694, February 2025
Article Number A307
Number of page(s) 24
Section Galactic structure, stellar clusters and populations
DOI https://doi.org/10.1051/0004-6361/202451866
Published online 04 March 2025
  1. Andrews, J. J., Curtis, J. L., Chanamé, J., et al. 2022, AJ, 163, 275 [Google Scholar]
  2. Astropy Collaboration (Robitaille, T. P., et al.) 2013, A&A, 558, A33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  3. Astropy Collaboration (Price-Whelan, A. M., et al.) 2018, AJ, 156, 123 [Google Scholar]
  4. Bailer-Jones, C. A. L., Rybizki, J., Fouesneau, M., Demleitner, M., & Andrae, R. 2021, AJ, 161, 147 [Google Scholar]
  5. Beccari, G., Boffin, H. M. J., & Jerabkova, T. 2019, MNRAS, 491, 2205 [Google Scholar]
  6. Beccari, G., Boffin, H. M. J., & Jerabkova, T. 2020, MNRAS, 491, 2205 [Google Scholar]
  7. Bennett, M., & Bovy, J. 2019, MNRAS, 482, 1417 [NASA ADS] [CrossRef] [Google Scholar]
  8. Boch, T., & Fernique, P. 2014, ASP Conf. Ser., 485, 277 [Google Scholar]
  9. Bonnarel, F., Fernique, P., Bienaymé, O., et al. 2000, A&AS, 143, 33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  10. Bossini, D., Vallenari, A., Bragaglia, A., et al. 2019, A&A, 623, A108 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  11. Bovy, J. 2015, ApJS, 216, 29 [NASA ADS] [CrossRef] [Google Scholar]
  12. Bovy, J. 2016, Phys. Rev. Lett., 116, 121301 [NASA ADS] [CrossRef] [Google Scholar]
  13. Bovy, J., Hogg, D. W., & Roweis, S. T. 2011, Annal. Appl. Stat., 5, 1657 [NASA ADS] [Google Scholar]
  14. Cantat-Gaudin, T., & Anders, F. 2020, A&A, 633, A99 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  15. Chen, B., D’Onghia, E., Alves, J., & Adamo, A. 2020, A&A, 643, A114 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  16. Curtis, J. L., Agüeros, M. A., Mamajek, E. E., Wright, J. T., & Cummings, J. D. 2019, AJ, 158, 77 [Google Scholar]
  17. Damiani, F., Prisinzano, L., Pillitteri, I., Micela, G., & Sciortino, S. 2019, A&A, 623, A112 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  18. Dempster, A. P., Laird, N. M., & Rubin, D. B. 1977, J. R. Stat. Soc. Ser. B Stat. Methodol., 39, 1 [CrossRef] [Google Scholar]
  19. Eggen, O. J. 1996, AJ, 112, 1595 [CrossRef] [Google Scholar]
  20. Ernst, A., Just, A., Berczik, P., & Petrov, M. I. 2010, A&A, 524, A62 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  21. Fisher, R. A. 1934, in Breakthroughs in Statistics (Berlin: Springer), 66 [Google Scholar]
  22. Fürnkranz, V., Meingast, S., & Alves, J. 2019, A&A, 624, L11 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  23. Fürnkranz, V., Rix, H.-W., Coronado, J., & Seeburger, R. 2024, ApJ, 961, 113 [CrossRef] [Google Scholar]
  24. Gagné, J., & Faherty, J. K. 2018, ApJ, 862, 138 [Google Scholar]
  25. Gagné, J., Mamajek, E. E., Malo, L., et al. 2018a, ApJ, 856, 23 [Google Scholar]
  26. Gagné, J., Faherty, J. K., & Mamajek, E. E. 2018b, ApJ, 865, 136 [Google Scholar]
  27. Gagné, J., Faherty, J. K., Moranta, L., & Popinchalk, M. 2021, ApJ, 915, L29 [CrossRef] [Google Scholar]
  28. Gaia Collaboration (Vallenari, A., et al.) 2023, A&A, 674, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  29. Gieles, M., Zwart, S. F. P., Baumgardt, H., et al. 2006, MNRAS, 371, 793 [NASA ADS] [CrossRef] [Google Scholar]
  30. Golovin, A., Reffert, S., Vani, A., et al. 2024, A&A, 683, A33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  31. Grasser, N., Ratzenböck, S., Alves, J., et al. 2021, A&A, 652, A2 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  32. GRAVITY Collaboration (Abuter, R., et al.) 2018, A&A, 615, L15 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  33. Grillmair, C. J., Freeman, K. C., Irwin, M., & Quinn, P. J. 1995, AJ, 109, 2553 [Google Scholar]
  34. Hampel, F., Ronchetti, E., Rousseeuw, P., & Stahel, W. 2011, Wiley Series in Probability and Statistics (Hoboken: John Wiley & Sons, Inc.), 503 [Google Scholar]
  35. Hawkins, K., Lucey, M., & Curtis, J. 2020, MNRAS, 496, 2422 [Google Scholar]
  36. Hunt, E. L., & Reffert, S. 2023, A&A, 673, A114 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  37. Hunt, E. L., & Reffert, S. 2024, A&A, 686, A42 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  38. Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [NASA ADS] [CrossRef] [Google Scholar]
  39. Ibata, R. A., Lewis, G. F., & Martin, N. F. 2016, ApJ, 819, 1 [NASA ADS] [CrossRef] [Google Scholar]
  40. Jerabkova, T., Boffin, H. M. J., Beccari, G., et al. 2021, A&A, 647, A137 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  41. Kamdar, H., Conroy, C., Ting, Y.-S., et al. 2019, ApJ, 884, 173 [NASA ADS] [CrossRef] [Google Scholar]
  42. Kamdar, H., Conroy, C., & Ting, Y.-S. 2021, arXiv e-prints [arXiv:2106.02050] [Google Scholar]
  43. Kerr, R. M. P., Rizzuto, A. C., Kraus, A. L., & Offner, S. S. R. 2021, ApJ, 917, 23 [NASA ADS] [CrossRef] [Google Scholar]
  44. King, I. 1962, AJ, 67, 471 [Google Scholar]
  45. Kounkel, M., & Covey, K. 2019, AJ, 158, 122 [Google Scholar]
  46. Kroupa, P. 2001, MNRAS, 322, 231 [NASA ADS] [CrossRef] [Google Scholar]
  47. Kroupa, P., Jerabkova, T., Thies, I., et al. 2022, MNRAS, 517, 3613 [CrossRef] [Google Scholar]
  48. Kruijssen, J. M. D., Pelupessy, F. I., Lamers, H. J. G. L. M., Portegies Zwart, S. F., & Icke, V. 2011, MNRAS, 414, 1339 [Google Scholar]
  49. Krumholz, M. R., McKee, C. F., & Bland-Hawthorn, J. 2019, ARA&A, 57, 227 [NASA ADS] [CrossRef] [Google Scholar]
  50. Levene, H. 1960, Robust Tests for Equality of Variances (Palo Alto: Stanford University Press) [Google Scholar]
  51. Lindegren, L., Klioner, S. A., Hernández, J., et al. 2021, A&A, 649, A2 [EDP Sciences] [Google Scholar]
  52. Malhan, K., Ibata, R. A., & Martin, N. F. 2018, MNRAS, 481, 3442 [Google Scholar]
  53. Mamajek, E. E. 2006, AJ, 132, 2198 [NASA ADS] [CrossRef] [Google Scholar]
  54. Marigo, P., Girardi, L., Bressan, A., et al. 2017, ApJ, 835, 77 [Google Scholar]
  55. Mateu, C. 2023, MNRAS, 520, 5225 [Google Scholar]
  56. Meingast, S., & Alves, J. 2019, A&A, 621, L3 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  57. Meingast, S., Alves, J., & Fürnkranz, V. 2019, A&A, 622, L13 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  58. Meingast, S., Alves, J., & Rottensteiner, A. 2021, A&A, 645, A84 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  59. Miret-Roig, N., Galli, P. A. B., Brandner, W., et al. 2020, A&A, 642, A179 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  60. Moranta, L., Gagné, J., Couture, D., & Faherty, J. K. 2022, ApJ, 939, 94 [NASA ADS] [CrossRef] [Google Scholar]
  61. Newton, E. R., Mann, A. W., Kraus, A. L., et al. 2021, AJS, 161, 65 [NASA ADS] [Google Scholar]
  62. Ochsenbein, F., Bauer, P., & Marcout, J. 2000, A&AS, 143, 23 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  63. Odenkirchen, M., Grebel, E. K., Rockosi, C. M., et al. 2001, ApJ, 548, L165 [Google Scholar]
  64. Planck Collaboration XI. 2014, A&A, 571, A11 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  65. Plotly Technologies Inc. 2015, Collaborative data science, Montreal, QC, https://plot.ly [Google Scholar]
  66. Portegies Zwart, S. F., McMillan, S. L., & Gieles, M. 2010, Ann. Rev. Astron. Astrophys., 48, 431 [CrossRef] [Google Scholar]
  67. Price-Whelan, A. M., & Bonaca, A. 2018, ApJ, 863, L20 [CrossRef] [Google Scholar]
  68. Qin, S., Zhong, J., Tang, T., & Chen, L. 2023, ApJS, 265, 12 [NASA ADS] [CrossRef] [Google Scholar]
  69. Ratzenböck, S., Meingast, S., Alves, J., Möller, T., & Bomze, I. 2020, A&A, 639, A64 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  70. Ratzenböck, S., Großschedl, J. E., Möller, T., et al. 2023a, A&A, 677, A59 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  71. Ratzenböck, S., Großschedl, J. E., Alves, J., et al. 2023b, A&A, 678, A71 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  72. Ratzenböck, S., Obermüller, V., Möller, T., Alves, J. a., & Bomze, I. M. 2023c, IEEE Trans. Visualiz. Comp. Graph., 29, 3855 [CrossRef] [Google Scholar]
  73. Riello, M., De Angeli, F., Evans, D. W., et al. 2021, A&A, 649, A3 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  74. Röser, S., Schilbach, E., & Goldman, B. 2019, A&A, 621, L2 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  75. Schmitt, J. H. M. M., Czesla, S., Freund, S., Robrade, J., & Schneider, P. C. 2022, A&A, 661, A40 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  76. Schölkopf, B., Williamson, R., Smola, A., Shawe-Taylor, J., & Platt, J. 1999, in Proceedings of the 12th International Conference on Neural Information Processing Systems, NIPS’99 (Cambridge, MA, USA: MIT Press), 582 [Google Scholar]
  77. Schönrich, R., Binney, J., & Dehnen, W. 2010, MNRAS, 403, 1829 [NASA ADS] [CrossRef] [Google Scholar]
  78. Scott, D. W. 1979, Biometrika, 66, 605 [CrossRef] [Google Scholar]
  79. Tarricq, Y., Soubiran, C., Casamiquela, L., et al. 2022, A&A, 659, A59 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  80. Taylor, M. B. 2005, ASP Conf. Ser., 347, 29 [Google Scholar]
  81. Tian, H.-J. 2020, Astrophys. J., 904, 196 [NASA ADS] [CrossRef] [Google Scholar]
  82. van der Walt, S., Colbert, S. C., & Varoquaux, G. 2011, Comp. Sci. Eng., 13, 22 [NASA ADS] [CrossRef] [Google Scholar]
  83. Wenger, M., Ochsenbein, F., Egret, D., et al. 2000, A&AS, 143, 9 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  84. Wilson, D. J. 2019, Proc. Natl. Acad. Sci., 116, 1195 [NASA ADS] [CrossRef] [Google Scholar]
  85. Zucker, C., Goodman, A. A., Alves, J., et al. 2022a, Nature, 601, 334 [NASA ADS] [CrossRef] [Google Scholar]
  86. Zucker, C., Peek, J. E. G., & Loebman, S. 2022b, ApJ, 936, 160 [NASA ADS] [CrossRef] [Google Scholar]
  87. Zuckerman, B., Song, I., & Bessell, M. S. 2004, ApJ, 613, L65 [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.