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Home All issues Volume 699 (July 2025) A&A, 699 (2025) A118 References
Open Access
Issue
A&A
Volume 699, July 2025
Article Number A118
Number of page(s) 15
Section Extragalactic astronomy
DOI https://doi.org/10.1051/0004-6361/202453215
Published online 01 July 2025
  1. Aguirre, C., Pichara, K., & Becker, I. 2019, MNRAS, 482, 5078 [CrossRef] [Google Scholar]
  2. Appleby, S., Davé, R., Sorini, D., Lovell, C. C., & Lo, K. 2023, MNRAS, 525, 1167 [NASA ADS] [CrossRef] [Google Scholar]
  3. Aumer, M., White, S. D. M., Naab, T., & Scannapieco, C. 2013, MNRAS, 434, 3142 [Google Scholar]
  4. Baldwin, J. E., Lynden-Bell, D., & Sancisi, R. 1980, MNRAS, 193, 313 [NASA ADS] [CrossRef] [Google Scholar]
  5. Ball, N. M., Loveday, J., Fukugita, M., et al. 2004, MNRAS, 348, 1038 [Google Scholar]
  6. Baron, D., & Poznanski, D. 2017, MNRAS, 465, 4530 [NASA ADS] [CrossRef] [Google Scholar]
  7. Benitez, N., Dupke, R., Moles, M., et al. 2014, ArXiv e-prints [arXiv:1403.5237] [Google Scholar]
  8. Bournaud, F., Combes, F., Jog, C. J., & Puerari, I. 2005, A&A, 438, 507 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  9. Bowyer, K. W., Chawla, N. V., Hall, L. O., & Kegelmeyer, W. P. 2011, arXiv e-prints [arXiv:1106.1813] [Google Scholar]
  10. Breiman, L. 1996, Mach. Learn., 24, 123 [Google Scholar]
  11. Breiman, L. 2001, Mach. Learn., 45, 5 [Google Scholar]
  12. Carliles, S., Budavári, T., Heinis, S., Priebe, C., & Szalay, A. S. 2010, ApJ, 712, 511 [NASA ADS] [CrossRef] [Google Scholar]
  13. Cenarro, A. J., Moles, M., Cristóbal-Hornillos, D., et al. 2019, A&A, 622, A176 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  14. Chen, C., & Breiman, L. 2004, University of California, Berkeley [Google Scholar]
  15. Conselice, C. J. 2014, ARA&A, 52, 291 [CrossRef] [Google Scholar]
  16. Conselice, C. J., Bershady, M. A., & Jangren, A. 2000, ApJ, 529, 886 [NASA ADS] [CrossRef] [Google Scholar]
  17. Cover, T., & Hart, P. 1967, IEEE Trans. Inf. Theory, 13, 21 [CrossRef] [Google Scholar]
  18. Dieleman, S., Willett, K. W., & Dambre, J. 2015, MNRAS, 450, 1441 [NASA ADS] [CrossRef] [Google Scholar]
  19. Dolfi, A., Gómez, F. A., Monachesi, A., et al. 2023, MNRAS, 526, 567 [NASA ADS] [CrossRef] [Google Scholar]
  20. Erwin, P. 2019, MNRAS, 489, 3553 [NASA ADS] [CrossRef] [Google Scholar]
  21. Farias, H., Ortiz, D., Damke, G., Jaque Arancibia, M., & Solar, M. 2020, Astron. Comput., 33, 100420 [NASA ADS] [CrossRef] [Google Scholar]
  22. Friedman, J. H. 2001, Ann. Stat., 29, 1189 [Google Scholar]
  23. Gao, D., Zhang, Y.-X., & Zhao, Y.-H. 2009, Res. Astron. Astrophys., 9, 220 [Google Scholar]
  24. Genel, S., Vogelsberger, M., Springel, V., et al. 2014, MNRAS, 445, 175 [Google Scholar]
  25. Giles, D., & Walkowicz, L. 2019, MNRAS, 484, 834 [Google Scholar]
  26. Gómez, F. A., White, S. D. M., Marinacci, F., et al. 2016, MNRAS, 456, 2779 [Google Scholar]
  27. Guha, S., Rastogi, R., & Shim, K. 2000, Inf. Syst., 25, 345 [Google Scholar]
  28. Guzmán-Ortega, A., Rodriguez-Gomez, V., Snyder, G. F., Chamberlain, K., & Hernquist, L. 2023, MNRAS, 519, 4920 [CrossRef] [Google Scholar]
  29. Hocking, A., Geach, J. E., Sun, Y., & Davey, N. 2018, MNRAS, 473, 1108 [CrossRef] [Google Scholar]
  30. Huertas-Company, M., Gravet, R., Cabrera-Vives, G., et al. 2015, ApJS, 221, 8 [NASA ADS] [CrossRef] [Google Scholar]
  31. Ivezić, Ž., Kahn, S. M., Tyson, J. A., et al. 2019, ApJ, 873, 111 [Google Scholar]
  32. Jog, C. J. 1997, ApJ, 488, 642 [NASA ADS] [CrossRef] [Google Scholar]
  33. Jog, C. J. 1999, ApJ, 522, 661 [CrossRef] [Google Scholar]
  34. Jog, C. J. 2000, ApJ, 542, 216 [Google Scholar]
  35. Jog, C. J. 2002, A&A, 391, 471 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  36. Jog, C. J., & Combes, F. 2009, Phys. Rep., 471, 75 [NASA ADS] [CrossRef] [Google Scholar]
  37. Jolliffe, I. T. 2002, Principal Component Analysis, 2nd edn. (Springer) [Google Scholar]
  38. Joshi, G. D., Pillepich, A., Nelson, D., et al. 2020, MNRAS, 496, 2673 [Google Scholar]
  39. Kauffmann, G., Heckman, T. M., White, S. D. M., et al. 2003, MNRAS, 341, 33 [Google Scholar]
  40. Kennicutt, R. C., Jr. 1998, ARA&A, 36, 189 [Google Scholar]
  41. Kollmeier, J., Anderson, S. F., Blanc, G. A., et al. 2019, BAAS, 51, 274 [NASA ADS] [Google Scholar]
  42. Lagos, C. d. P., Theuns, T., Stevens, A. R. H., et al. 2017, MNRAS, 464, 3850 [Google Scholar]
  43. Lee, J., & Shin, M.-S. 2021, AJ, 162, 297 [NASA ADS] [CrossRef] [Google Scholar]
  44. Lloyd, S. 1982, IEEE Trans. Inf. Theory, 28, 129 [Google Scholar]
  45. Łokas, E. L. 2022, A&A, 662, A53 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  46. Mendes de Oliveira, C., Ribeiro, T., Schoenell, W., et al. 2019, MNRAS, 489, 241 [NASA ADS] [CrossRef] [Google Scholar]
  47. Monsalves, N., Jaque Arancibia, M., Bayo, A., et al. 2024, A&A, 691, A106 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  48. Mucesh, S., Hartley, W. G., Palmese, A., et al. 2021, MNRAS, 502, 2770 [NASA ADS] [CrossRef] [Google Scholar]
  49. Nelson, D., Pillepich, A., Genel, S., et al. 2015, Astron. Comput., 13, 12 [Google Scholar]
  50. Nelson, D., Pillepich, A., Springel, V., et al. 2018, MNRAS, 475, 624 [Google Scholar]
  51. Nelson, D., Pillepich, A., Springel, V., et al. 2019a, MNRAS, 490, 3234 [Google Scholar]
  52. Nelson, D., Springel, V., Pillepich, A., et al. 2019b, Comput. Astrophys. Cosmol., 6, 2 [Google Scholar]
  53. Noordermeer, E., Sparke, L. S., & Levine, S. E. 2001, MNRAS, 328, 1064 [NASA ADS] [CrossRef] [Google Scholar]
  54. O’Shea, K., & Nash, R. 2015, ArXiv e-prints [arXiv:1511.08458] [Google Scholar]
  55. Phookun, B., Vogel, S. N., & Mundy, L. G. 1993, ApJ, 418, 113 [NASA ADS] [CrossRef] [Google Scholar]
  56. Pillepich, A., Springel, V., Nelson, D., et al. 2018, MNRAS, 473, 4077 [Google Scholar]
  57. Pillepich, A., Nelson, D., Springel, V., et al. 2019, MNRAS, 490, 3196 [Google Scholar]
  58. Planck Collaboration XIII. 2016, A&A, 594, A13 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  59. Reichard, T. A., Heckman, T. M., Rudnick, G., Brinchmann, J., & Kauffmann, G. 2008, ApJ, 677, 186 [Google Scholar]
  60. Reichard, T. A., Heckman, T. M., Rudnick, G., et al. 2009, ApJ, 691, 1005 [NASA ADS] [CrossRef] [Google Scholar]
  61. Richter, O., & Sacisi, R. 1994, A&A, 290, L9 [Google Scholar]
  62. Rudnick, G., & Rix, H.-W. 1998, AJ, 116, 1163 [NASA ADS] [CrossRef] [Google Scholar]
  63. Rudnick, G., Rix, H.-W., & Kennicutt, R. C., Jr. 2000, ApJ, 538, 569 [NASA ADS] [CrossRef] [Google Scholar]
  64. Rumelhart, D. E., & McClelland, J. L. 1987, Learning Internal Representations by Error Propagation (MIT Press), 318 [Google Scholar]
  65. Sánchez-Sáez, P., Reyes, I., Valenzuela, C., et al. 2021, AJ, 161, 141 [CrossRef] [Google Scholar]
  66. Sarkar, J., Bhatia, K., Saha, S., Safonova, M., & Sarkar, S. 2022, MNRAS, 510, 6022 [CrossRef] [Google Scholar]
  67. Sellwood, J. A. 2013, in Planets, Stars and Stellar Systems. Volume 5: Galactic Structure and Stellar Populations, eds. T. D. Oswalt, & G. Gilmore, 5, 923 [Google Scholar]
  68. Springel, V. 2010, MNRAS, 401, 791 [Google Scholar]
  69. van Eymeren, J., Jütte, E., Jog, C. J., Stein, Y., & Dettmar, R. J. 2011, A&A, 530, A30 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  70. Varela-Lavin, S., Gómez, F. A., Tissera, P. B., et al. 2023, MNRAS, 523, 5853 [NASA ADS] [CrossRef] [Google Scholar]
  71. Vogelsberger, M., Genel, S., Springel, V., et al. 2014, Nature, 509, 177 [Google Scholar]
  72. Walker, I. R., Mihos, J. C., & Hernquist, L. 1996, ApJ, 460, 121 [NASA ADS] [CrossRef] [Google Scholar]
  73. Wang, K., Guo, P., & Luo, A. L. 2017, MNRAS, 465, 4311 [Google Scholar]
  74. Weinberg, M. D. 1994, ApJ, 421, 481 [NASA ADS] [CrossRef] [Google Scholar]
  75. Zaritsky, D., & Rix, H.-W. 1997, ApJ, 477, 118 [Google Scholar]
  76. Zaritsky, D., Salo, H., Laurikainen, E., et al. 2013, ApJ, 772, 135 [Google Scholar]
  77. Zhang, Y., Ma, H., Peng, N., Zhao, Y., & Wu, X.-b. 2013, AJ, 146, 22 [NASA ADS] [CrossRef] [Google Scholar]
  78. Zheng, H., & Zhang, Y. 2008, Adv. Space Res., 41, 1960 [Google Scholar]

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