Open Access
Issue
A&A
Volume 665, September 2022
Article Number A57
Number of page(s) 16
Section Galactic structure, stellar clusters and populations
DOI https://doi.org/10.1051/0004-6361/202243060
Published online 13 September 2022
  1. Ahumada, R., Prieto, C. A., Almeida, A., et al. 2020, ApJS, 249, 3 [Google Scholar]
  2. Belokurov, V., Zucker, D. B., Evans, N. W., et al. 2006, ApJ, 642, L137 [Google Scholar]
  3. Belokurov, V., Erkal, D., Evans, N. W., Koposov, S. E., & Deason, A. J. 2018, MNRAS, 478, 611 [Google Scholar]
  4. Belokurov, V., Sanders, J. L., Fattahi, A., et al. 2020, MNRAS, 494, 3880 [Google Scholar]
  5. Bernard, E. J., Ferguson, A. M. N., Schlafly, E. F., et al. 2016, MNRAS, 463, 1759 [NASA ADS] [CrossRef] [Google Scholar]
  6. Binney, J., & McMillan, P. J. 2016, MNRAS, 456, 1982 [NASA ADS] [CrossRef] [Google Scholar]
  7. Borsato, N. W., Martell, S. L., & Simpson, J. D. 2020, MNRAS, 492, 1370 [NASA ADS] [CrossRef] [Google Scholar]
  8. Breddels, M. A., & Veljanoski, J. 2018, A&A, 618, A13 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  9. Buder, S., Sharma, S., Kos, J., et al. 2021, MNRAS, 506, 150 [NASA ADS] [CrossRef] [Google Scholar]
  10. Campello, R. J., Moulavi, D., & Sander, J. 2013, Pacific-Asia Conference on Knowledge Discovery and Data Mining (Springer), 160 [Google Scholar]
  11. Conroy, C., Bonaca, A., Cargile, P., et al. 2019, ApJ, 883, 107 [NASA ADS] [CrossRef] [Google Scholar]
  12. Di Matteo, P., Haywood, M., Lehnert, M. D., et al. 2019, A&A, 632, A4 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  13. Dodd, E., Helmi, A., & Koppelman, H. H. 2022, A&A, 659, A61 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  14. Efstathiou, G., Frenk, C. S., White, S. D. M., & Davis, M. 1988, MNRAS, 235, 715 [NASA ADS] [CrossRef] [Google Scholar]
  15. Ester, M., Kriegel, H. P., & Sander, J., et al. 1996, Kdd (AAAI Press), 226 [Google Scholar]
  16. Everitt, B. S., Landau, S., Leese, M., & Stahl, D. 2011, ClusterAnalysis 5th ed (John Wiley) [Google Scholar]
  17. Feuillet, D. K., Sahlholdt, C. L., Feltzing, S., & Casagrande, L. 2021, MNRAS, 508, 1489 [NASA ADS] [CrossRef] [Google Scholar]
  18. Gaia Collaboration (Prusti, T., et al.) 2016, A&A, 595, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  19. Gaia Collaboration (Brown, A. G. A., et al.) 2018a, A&A, 616, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  20. Gaia Collaboration (Babusiaux, C., et al.) 2018b, A&A, 616, A10 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  21. Gaia Collaboration (Brown, A. G. A., et al.) 2021, A&A, 649, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  22. Gómez, F. A., Helmi, A., Brown, A. G. A., & Li, Y.-S. 2010, MNRAS, 408, 935 [Google Scholar]
  23. Gómez, F. A., Helmi, A., Cooper, A. P., et al. 2013, MNRAS, 436, 3602 [CrossRef] [Google Scholar]
  24. Gower, J. C., & Ross, G. J. 1969, J. R. Stat. Soc.: Ser. C (Appl. Stat.), 18, 54 [Google Scholar]
  25. Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357 [NASA ADS] [CrossRef] [Google Scholar]
  26. Helmi, A. 2020, ARA&A, 58, 205 [Google Scholar]
  27. Helmi, A., & de Zeeuw, P. T. 2000, MNRAS, 319, 657 [Google Scholar]
  28. Helmi, A., & White, S. D. M. 1999, MNRAS, 307, 495 [CrossRef] [Google Scholar]
  29. Helmi, A., White, S. D. M., de Zeeuw, P. T., & Zhao, H. 1999, Nature, 402, 53 [Google Scholar]
  30. Helmi, A., Veljanoski, J., Breddels, M. A., Tian, H., & Sales, L. V. 2017, A&A, 598, A58 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  31. Helmi, A., Babusiaux, C., Koppelman, H. H., et al. 2018, Nature, 563, 85 [Google Scholar]
  32. Hidalgo, S. L., Pietrinferni, A., Cassisi, S., et al. 2018, ApJ, 856, 125 [Google Scholar]
  33. Horta, D., Schiavon, R. P., Mackereth, J. T., et al. 2020, MNRAS, 493, 3363 [NASA ADS] [CrossRef] [Google Scholar]
  34. Horta, D., Schiavon, R. P., Mackereth, J. T., et al. 2021, MNRAS, 500, 1385 [Google Scholar]
  35. Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [NASA ADS] [CrossRef] [Google Scholar]
  36. Ivezić, Ž., Goldston, J., Finlator, K., et al. 2000, AJ, 120, 963 [CrossRef] [Google Scholar]
  37. Jean-Baptiste, I., Di Matteo, P., Haywood, M., et al. 2017, A&A, 604, A106 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  38. Koppelman, H., Helmi, A., & Veljanoski, J. 2018, ApJ, 860, L11 [NASA ADS] [CrossRef] [Google Scholar]
  39. Koppelman, H. H., Helmi, A., Massari, D., Price-Whelan, A. M., & Starkenburg, T. K. 2019a, A&A, 631, L9 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  40. Koppelman, H. H., Helmi, A., Massari, D., Roelenga, S., & Bastian, U. 2019b, A&A, 625, A5 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  41. Koppelman, H. H., Bos, R. O. Y., & Helmi, A. 2020, A&A, 642, L18 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  42. Kruijssen, J. M. D., Pfeffer, J. L., Crain, R. A., & Bastian, N. 2019, MNRAS, 486, 3134 [NASA ADS] [CrossRef] [Google Scholar]
  43. Kruijssen, J. M. D., Pfeffer, J. L., Chevance, M., et al. 2020, MNRAS, 498, 2472 [NASA ADS] [CrossRef] [Google Scholar]
  44. Lallement, R., Capitanio, L., Ruiz-Dern, L., et al. 2018, A&A, 616, A132 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  45. Lane, J. M. M., Bovy, J., & Mackereth, J. T. 2022, MNRAS, 510, 5119 [NASA ADS] [CrossRef] [Google Scholar]
  46. Li, H., Tan, K., & Zhao, G. 2018, ApJS, 238, 16 [CrossRef] [Google Scholar]
  47. Liu, N., Fu, J.-N., Zong, W., et al. 2019, Res. Astron. Astrophys., 19, 075 [CrossRef] [Google Scholar]
  48. Mackereth, J. T., & Bovy, J. 2020, MNRAS, 492, 3631 [NASA ADS] [CrossRef] [Google Scholar]
  49. Majewski, S. R., Skrutskie, M. F., Weinberg, M. D., & Ostheimer, J. C. 2003, ApJ, 599, 1082 [NASA ADS] [CrossRef] [Google Scholar]
  50. Massari, D., Koppelman, H. H., & Helmi, A. 2019, A&A, 630, L4 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  51. Mateu, C., Read, J. I., & Kawata, D. 2018, MNRAS, 474, 4112 [Google Scholar]
  52. McInnes, L., Healy, J., & Astels, S. 2017, J. Open Source Software, 2, 205 [NASA ADS] [CrossRef] [Google Scholar]
  53. McMillan, P. J. 2017, MNRAS, 465, 76 [NASA ADS] [CrossRef] [Google Scholar]
  54. Myeong, G. C., Evans, N. W., Belokurov, V., Sanders, J. L., & Koposov, S. E. 2018a, MNRAS, 478, 5449 [NASA ADS] [CrossRef] [Google Scholar]
  55. Myeong, G. C., Evans, N. W., Belokurov, V., Amorisco, N. C., & Koposov, S. E. 2018b, MNRAS, 475, 1537 [NASA ADS] [CrossRef] [Google Scholar]
  56. Myeong, G. C., Vasiliev, E., Iorio, G., Evans, N. W., & Belokurov, V. 2019, MNRAS, 488, 1235 [Google Scholar]
  57. Naidu, R. P., Conroy, C., Bonaca, A., et al. 2020, ApJ, 901, 48 [Google Scholar]
  58. Ostdiek, B., Necib, L., Cohen, T., et al. 2020, A&A, 636, A75 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  59. Price-Whelan, A. M. 2017, J. Open Source Software, 2, 388 [NASA ADS] [CrossRef] [Google Scholar]
  60. Rodriguez, M. Z., Comin, C. H., Casanova, D., et al. 2019, PLoS ONE, 14, e0210236 [NASA ADS] [CrossRef] [Google Scholar]
  61. Ruiz-Lara, T., Matsuno, T., Lövdal, S. S., et al. 2022, A&A, 665, A58 (Paper II) [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  62. Sanderson, R. E., Wetzel, A., Loebman, S., et al. 2020, ApJS, 246, 6 [NASA ADS] [CrossRef] [Google Scholar]
  63. Schönrich, R., Binney, J., & Dehnen, W. 2010, MNRAS, 403, 1829 [NASA ADS] [CrossRef] [Google Scholar]
  64. Schönrich, R., McMillan, P., & Eyer, L. 2019, MNRAS, 487, 3568 [Google Scholar]
  65. Simpson, C. M., Gargiulo, I., Gómez, F. A., et al. 2019, MNRAS, 490, L32 [NASA ADS] [CrossRef] [Google Scholar]
  66. Springel, V., White, S. D. M., Jenkins, A., et al. 2005, Nature, 435, 629 [Google Scholar]
  67. Steinmetz, M., Guiglion, G., McMillan, P. J., et al. 2020a, AJ, 160, 83 [NASA ADS] [CrossRef] [Google Scholar]
  68. Steinmetz, M., Matijevič, G., Enke, H., et al. 2020b, AJ, 160, 82 [NASA ADS] [CrossRef] [Google Scholar]
  69. Taylor, M. B. 2005, in Astronomical Data Analysis Software and Systems XIV, eds. P. Shopbell, M. Britton, & R. Ebert, ASP Conf. Ser., 347, 29 [Google Scholar]
  70. Taylor, M. B. 2006, in Astronomical Data Analysis Software and Systems XV, eds. C. Gabriel, C. Arviset, D. Ponz, & S. Enrique, ASP Conf. Ser., 351, 666 [Google Scholar]
  71. Vasiliev, E. 2019, MNRAS, 482, 1525 [Google Scholar]
  72. Virtanen, P., Gommers, R., Oliphant, T. E., et al. 2020, Nat. Methods, 17, 261 [Google Scholar]
  73. Wang, J., Fu, J.-N., Zong, W., et al. 2020, ApJS, 251, 27 [NASA ADS] [CrossRef] [Google Scholar]
  74. Yanny, B., Newberg, H. J., Kent, S., et al. 2000, ApJ, 540, 825 [NASA ADS] [CrossRef] [Google Scholar]
  75. Yuan, Z., Chang, J., Banerjee, P., et al. 2018, ApJ, 863, 26 [NASA ADS] [CrossRef] [Google Scholar]
  76. Yuan, Z., Myeong, G. C., Beers, T. C., et al. 2020a, ApJ, 891, 39 [NASA ADS] [CrossRef] [Google Scholar]
  77. Yuan, Z., Chang, J., Beers, T. C., & Huang, Y. 2020b, ApJ, 898, L37 [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.