Open Access
Issue
A&A
Volume 670, February 2023
Article Number A10
Number of page(s) 13
Section Galactic structure, stellar clusters and populations
DOI https://doi.org/10.1051/0004-6361/202244605
Published online 27 January 2023
  1. Abdurro’uf, Accetta, K., Aerts, C., et al. 2022, ApJS, 259, 35 [NASA ADS] [CrossRef] [Google Scholar]
  2. Antoja, T., Helmi, A., Romero-Gómez, M., et al. 2018, Nature, 561, 360 [Google Scholar]
  3. Antoja, T., Ramos, P., López-Guitart, F., et al. 2022, A&A, 668, A61 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  4. Astropy Collaboration (Price-Whelan, A., et al.) 2018, AJ, 156, 123 [NASA ADS] [CrossRef] [Google Scholar]
  5. Athanassoula, E. 2003, MNRAS, 341, 1179 [Google Scholar]
  6. Babusiaux, C., Fabricius, C., Khanna, S., et al. 2022, A&A, in press https://doi.org/10.1051/0004-6361/202243790 [Google Scholar]
  7. Bailer-Jones, C. A. L., Rybizki, J., Fouesneau, M., Demleitner, M., & Andrae, R. 2021, AJ, 161, 147 [Google Scholar]
  8. Barros, D. A., Lépine, J. R. D., & Junqueira, T. C. 2013, MNRAS, 435, 2299 [Google Scholar]
  9. Bernet, M., Ramos, P., Antoja, T., et al. 2022, A&A, 667, A116 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  10. Binney, J. 2012, MNRAS, 426, 1324 [Google Scholar]
  11. Binney, J. 2020, MNRAS, 495, 886 [NASA ADS] [CrossRef] [Google Scholar]
  12. Binney, J., & Schönrich, R. 2018, MNRAS, 481, 1501 [Google Scholar]
  13. Binney, J., & Tremaine, S. 2008, Galactic Dynamics: Second Edition (Princeton: Princeton University Press) [Google Scholar]
  14. Bland-Hawthorn, J., & Tepper-García, T. 2021, MNRAS, 504, 3168 [CrossRef] [Google Scholar]
  15. Bland-Hawthorn, J., Krumholz, M. R., & Freeman, K. 2010, ApJ, 713, 166 [CrossRef] [Google Scholar]
  16. Bland-Hawthorn, J., Sharma, S., Tepper-Garcia, T., et al. 2019, MNRAS, 486, 1167 [NASA ADS] [CrossRef] [Google Scholar]
  17. Bovy, J. 2015, ApJS, 216, 29 [NASA ADS] [CrossRef] [Google Scholar]
  18. Bovy, J., Bird, J. C., García Pérez, A. E., et al. 2015, ApJ, 800, 83 [NASA ADS] [CrossRef] [Google Scholar]
  19. Buder, S., Sharma, S., Kos, J., et al. 2021, MNRAS, 506, 150 [NASA ADS] [CrossRef] [Google Scholar]
  20. Carlin, J. L., DeLaunay, J., Newberg, H. J., et al. 2013, ApJ, 777, L5 [Google Scholar]
  21. Castro-Ginard, A., McMillan, P. J., Luri, X., et al. 2021, A&A, 652, A162 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  22. Cautun, M., Benítez-Llambay, A., Deason, A. J., et al. 2020, MNRAS, 494, 4291 [Google Scholar]
  23. Cui, X.-Q., Zhao, Y.-H., Chu, Y.-Q., et al. 2012, RAA, 12, 1197 [NASA ADS] [Google Scholar]
  24. de Zeeuw, T. 1985, MNRAS, 216, 273 [NASA ADS] [CrossRef] [Google Scholar]
  25. Dehnen, W. 2000, AJ, 119, 800 [NASA ADS] [CrossRef] [Google Scholar]
  26. D’Onghia, E. L., & Aguerri, J. A. 2020, ApJ, 890, 117 [CrossRef] [Google Scholar]
  27. Fragkoudi, F., Katz, D., Trick, W., et al. 2019, MNRAS, 488, 3324 [NASA ADS] [Google Scholar]
  28. Gaia Collaboration (Brown, A. G. A., et al.) 2016, A&A, 595, A2 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  29. Gaia Collaboration (Katz, D., et al.) 2018, A&A, 616, A11 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  30. Gaia Collaboration (Brown, A. G. A., et al.) 2021a, A&A, 649, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  31. Gaia Collaboration (Antoja, T., et al.) 2021b, A&A, 649, A8 [EDP Sciences] [Google Scholar]
  32. Gaia Collaboration (Vallenari, A., et al.) 2022a, ArXiv e-prints [arXiv:2208.00211] [Google Scholar]
  33. Gaia Collaboration (Drimmel, R., et al.) 2022b, A&A, in press https://doi.org/10.1051/0004-6361/202243797 [Google Scholar]
  34. Gaia Collaboration (Recio-Blanco, A., et al.) 2022c, A&A, in press https://doi.org/10.1051/0004-6361/202243511 [Google Scholar]
  35. GRAVITY Collaboration (Abuter, R., et al.) 2021, A&A, 647, A59 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  36. Grosbøl, P., & Carraro, G. 2018, A&A, 619, A50 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  37. Hunt, J. A. S., & Bovy, J. 2018, MNRAS, 477, 3945 [NASA ADS] [CrossRef] [Google Scholar]
  38. Hunt, J. A. S., Bub, M. W., Bovy, J., et al. 2019, MNRAS, 490, 1026 [NASA ADS] [CrossRef] [Google Scholar]
  39. Hunt, J. A. S., Price-Whelan, A. M., Johnston, K. V., & Darragh-Ford, E. 2022, MNRAS, 516, L7 [NASA ADS] [CrossRef] [Google Scholar]
  40. Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [NASA ADS] [CrossRef] [Google Scholar]
  41. Kalnajs, A. J. 1991, in Dynamics of Disc Galaxies, ed. B. Sundelius, 323 [Google Scholar]
  42. Kataria, S. K., & Das, M. 2019, ApJ, 886, 43 [NASA ADS] [CrossRef] [Google Scholar]
  43. Khanna, S., Sharma, S., Bland-Hawthorn, J., et al. 2019a, MNRAS, 482, 4215 [Google Scholar]
  44. Khanna, S., Sharma, S., Tepper-Garcia, T., et al. 2019b, MNRAS, 489, 4962 [Google Scholar]
  45. Khanna, S., Sharma, S., Bland-Hawthorn, J., & Hayden, M. 2022, MNRAS, submitted [arXiv:2204.13672] [Google Scholar]
  46. Khoperskov, S., & Gerhard, O. 2022, A&A, 663, A38 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  47. Laporte, C. F. P., Minchev, I., Johnston, K. V., & Gómez, F. A. 2019, MNRAS, 485, 3134 [Google Scholar]
  48. Levine, E. S., Blitz, L., & Heiles, C. 2006, Science, 312, 1773 [NASA ADS] [CrossRef] [Google Scholar]
  49. Li, Z.-Y. 2021, ApJ, 911, 107 [NASA ADS] [CrossRef] [Google Scholar]
  50. Liu, C., Fu, J., Shi, J., et al. 2020, RAA, submitted [arXiv:2005.07210] [Google Scholar]
  51. Lucchini, S., Pellett, E., D’Onghia, E., & Aguerri, J. A. L. 2022, MNRAS, 519, 432 [NASA ADS] [CrossRef] [Google Scholar]
  52. Mackereth, J. T., Bovy, J., Leung, H. W., et al. 2019, MNRAS, 489, 176 [Google Scholar]
  53. Malhan, K., Ibata, R. A., Sharma, S., et al. 2022, ApJ, 926, 107 [NASA ADS] [CrossRef] [Google Scholar]
  54. Martinez-Medina, L., Pichardo, B., Peimbert, A., & Valenzuela, O. 2019, MNRAS, 485, L104 [Google Scholar]
  55. McMillan, P. J. 2017, MNRAS, 465, 76 [NASA ADS] [CrossRef] [Google Scholar]
  56. McMillan, P. J., Petersson, J., Tepper-Garcia, T., et al. 2022, MNRAS, 516, 4988 [NASA ADS] [CrossRef] [Google Scholar]
  57. Monari, G., Famaey, B., Siebert, A., Wegg, C., & Gerhard, O. 2019, A&A, 626, A41 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  58. Monteiro, H., Barros, D. A., Dias, W. S., & Lépine, J. R. D. 2021, Front. Astron. Space Sci., 8, 62 [NASA ADS] [CrossRef] [Google Scholar]
  59. Mróz, P., Udalski, A., Skowron, D. M., et al. 2019, ApJ, 870, L10 [Google Scholar]
  60. Pedregosa, F., Varoquaux, G., Gramfort, A., et al. 2011, J. Mach. Learn. Res., 12, 2825 [Google Scholar]
  61. Pérez, F., & Granger, B. E. 2007, Comput. Sci. Eng., 9, 21 [Google Scholar]
  62. Pérez-Villegas, A., Portail, M., Wegg, C., & Gerhard, O. 2017, ApJ, 840, L2 [Google Scholar]
  63. Pettitt, A. R., Ragan, S. E., & Smith, M. C. 2020, MNRAS, 491, 2162 [NASA ADS] [Google Scholar]
  64. Poggio, E., Drimmel, R., Lattanzi, M. G., et al. 2018, MNRAS, 481, L21 [Google Scholar]
  65. Poggio, E., Drimmel, R., Cantat-Gaudin, T., et al. 2021, A&A, 651, A104 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  66. Quillen, A. C., Carrillo, I., Anders, F., et al. 2018, MNRAS, 480, 3132 [NASA ADS] [CrossRef] [Google Scholar]
  67. Ramos, P., Antoja, T., & Figueras, F. 2018, A&A, 619, A72 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  68. Reid, M. J., & Brunthaler, A. 2020, ApJ, 892, 39 [Google Scholar]
  69. Ripepi, V., Molinaro, R., Musella, I., et al. 2019, A&A, 625, A14 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  70. Ripepi, V., Catanzaro, G., Clementini, G., et al. 2022a, A&A, 659, A167 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  71. Ripepi, V., Clementini, G., Molinaro, R., et al. 2022b, A&A, in press https://doi.org/10.1051/0004-6361/202243990 [Google Scholar]
  72. Sanders, J. L., & Binney, J. 2016, MNRAS, 457, 2107 [Google Scholar]
  73. Scott, D. W. 1992, Multivariate Density Estimation: Theory, Practice, and Visualization (New York: John Wiley& Sons, Inc.) [Google Scholar]
  74. Sellwood, J. A. 2010, MNRAS, 409, 145 [NASA ADS] [CrossRef] [Google Scholar]
  75. Skowron, D. M., Skowron, J., Mróz, P., et al. 2019, Science, 365, 478 [Google Scholar]
  76. Steinmetz, M., Matijevič, G., Enke, H., et al. 2020, AJ, 160, 82 [NASA ADS] [CrossRef] [Google Scholar]
  77. 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]
  78. 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]
  79. Tepper-Garcia, T., Bland-Hawthorn, J., Vasiliev, E., et al. 2021, ArXiv e-prints [arXiv:2111.05466] [Google Scholar]
  80. Tepper-García, T., Bland-Hawthorn, J., & Freeman, K. 2022, MNRAS, 515, 5951 [CrossRef] [Google Scholar]
  81. Thomas, G. F., Laporte, C. F. P., McConnachie, A. W., et al. 2019, MNRAS, 483, 3119 [Google Scholar]
  82. Ting, Y.-S., & Rix, H.-W. 2019, ApJ, 878, 21 [NASA ADS] [CrossRef] [Google Scholar]
  83. Trick, W. H. 2022, MNRAS, 509, 844 [Google Scholar]
  84. Trick, W. H., Coronado, J., & Rix, H.-W. 2019, MNRAS, 484, 3291 [NASA ADS] [CrossRef] [Google Scholar]
  85. Trick, W. H., Fragkoudi, F., Hunt, J. A. S., Mackereth, J. T., & White, S. D. M. 2021, MNRAS, 500, 2645 [Google Scholar]
  86. Vasiliev, E. 2019, MNRAS, 482, 1525 [Google Scholar]
  87. Weinberg, M. D. 1994, ApJ, 420, 597 [NASA ADS] [CrossRef] [Google Scholar]
  88. Widrow, L. M., Gardner, S., Yanny, B., Dodelson, S., & Chen, H.-Y. 2012, ApJ, 750, L41 [Google Scholar]
  89. Williams, M. E. K., Steinmetz, M., Binney, J., et al. 2013, MNRAS, 436, 101 [Google Scholar]
  90. Xu, Y., Newberg, H. J., Carlin, J. L., et al. 2015, ApJ, 801, 105 [Google Scholar]
  91. Xu, Y., Liu, C., Tian, H., et al. 2020, ApJ, 905, 6 [NASA ADS] [CrossRef] [Google Scholar]
  92. Yanny, B., & Gardner, S. 2013, ApJ, 777, 91 [Google Scholar]

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