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Home All issues Volume 709 (May 2026) A&A, 709 (2026) A21 References
Open Access
Issue
A&A
Volume 709, May 2026
Article Number A21
Number of page(s) 19
Section Catalogs and data
DOI https://doi.org/10.1051/0004-6361/202558260
Published online 28 April 2026
  1. Abadi, M. G., Moore, B., & Bower, R. G. 1999, MNRAS, 308, 947 [Google Scholar]
  2. Abraham, R. G., Tanvir, N. R., Santiago, B. X., et al. 1996, MNRAS, 279, L47 [Google Scholar]
  3. Andrae, R., Jahnke, K., & Melchior, P. 2011, MNRAS, 411, 385 [Google Scholar]
  4. Astropy Collaboration (Robitaille, T. P., et al.) 2013, A&A, 558, A33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  5. Astropy Collaboration (Price-Whelan, A. M., et al.) 2018, AJ, 156, 123 [Google Scholar]
  6. Astropy Collaboration (Price-Whelan, A. M., et al.) 2022, ApJ, 935, 167 [NASA ADS] [CrossRef] [Google Scholar]
  7. Baldry, I. K., Glazebrook, K., Brinkmann, J., et al. 2004, ApJ, 600, 681 [Google Scholar]
  8. Balogh, M. L., Navarro, J. F., & Morris, S. L. 2000, ApJ, 540, 113 [Google Scholar]
  9. Barbary, K., Boone, K., McCully, C., et al. 2016, https://doi.org/10.5281/zenodo.159035 [Google Scholar]
  10. Barchi, P. H., de Carvalho, R. R., Rosa, R. R., et al. 2020, Astron. Comput., 30, 100334 [NASA ADS] [CrossRef] [Google Scholar]
  11. Barnes, J. E., & Hernquist, L. E. 1991, ApJ, 370, L65 [Google Scholar]
  12. Bellhouse, C., Jaffé, Y. L., McGee, S. L., et al. 2019, MNRAS, 485, 1157 [Google Scholar]
  13. Bershady, M. A., Jangren, A., & Conselice, C. J. 2000, AJ, 119, 2645 [NASA ADS] [CrossRef] [Google Scholar]
  14. Bertin, E., & Arnouts, S. 1996, A&AS, 117, 393 [Google Scholar]
  15. Blanton, M. R., Kazin, E., Muna, D., Weaver, B. A., & Price-Whelan, A. 2011, AJ, 142, 31 [NASA ADS] [CrossRef] [Google Scholar]
  16. Bournaud, F. 2016, in Astrophysics and Space Science Library, 418, Galactic Bulges, eds. E. Laurikainen, R. Peletier, & D. Gadotti, 355 [Google Scholar]
  17. Brier, G. W. 1950, Monthly Weather Rev., 78, 1 [CrossRef] [Google Scholar]
  18. Carollo, C. M. 1999, ApJ, 523, 566 [Google Scholar]
  19. Cassata, P., Cimatti, A., Franceschini, A., et al. 2005, MNRAS, 357, 903 [Google Scholar]
  20. Chawla, N. V., Bowyer, K. W., Hall, L. O., & Kegelmeyer, W. P. 2011, arXiv e-prints [arXiv:1106.1813] [Google Scholar]
  21. Conselice, C. J. 2003, ApJS, 147, 1 [NASA ADS] [CrossRef] [Google Scholar]
  22. Conselice, C. J., Bershady, M. A., & Jangren, A. 2000, ApJ, 529, 886 [NASA ADS] [CrossRef] [Google Scholar]
  23. Conselice, C. J., Rajgor, S., & Myers, R. 2008, MNRAS, 386, 909 [CrossRef] [Google Scholar]
  24. Dalla Vecchia, C., & Schaye, J. 2008, MNRAS, 387, 1431 [Google Scholar]
  25. Dekel, A., Birnboim, Y., Engel, G., et al. 2009, Nature, 457, 451 [Google Scholar]
  26. Dey, A., Schlegel, D. J., Lang, D., et al. 2019, AJ, 157, 168 [Google Scholar]
  27. Domínguez Sánchez, H., Huertas-Company, M., Bernardi, M., Tuccillo, D., & Fischer, J. L. 2018, MNRAS, 476, 3661 [Google Scholar]
  28. Dressler, A. 1980, ApJ, 236, 351 [Google Scholar]
  29. Dressler, A., Oemler, Augustus, J., Couch, W. J., et al. 1997, ApJ, 490, 577 [NASA ADS] [CrossRef] [Google Scholar]
  30. Fabian, A. C. 2012, ARA&A, 50, 455 [Google Scholar]
  31. Ferrari, F., de Carvalho, R. R., & Trevisan, M. 2015, ApJ, 814, 55 [NASA ADS] [CrossRef] [Google Scholar]
  32. Ferreira, L., Adams, N., Conselice, C. J., et al. 2022, ApJ, 938, L2 [NASA ADS] [CrossRef] [Google Scholar]
  33. Förster Schreiber, N. M., Shapley, A. E., Erb, D. K., et al. 2011, ApJ, 731, 65 [CrossRef] [Google Scholar]
  34. Genzel, R., Newman, S., Jones, T., et al. 2011, ApJ, 733, 101 [Google Scholar]
  35. Gunn, J. E., & Gott, J., Richard, I. 1972, ApJ, 176, 1 [NASA ADS] [CrossRef] [Google Scholar]
  36. Haines, C., Jaffé, Y., Tejos, N., et al. 2023, The Messenger, 190, 31 [NASA ADS] [Google Scholar]
  37. Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357 [NASA ADS] [CrossRef] [Google Scholar]
  38. Hubble, E. P. 1926, ApJ, 64, 321 [Google Scholar]
  39. Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [NASA ADS] [CrossRef] [Google Scholar]
  40. Jaffé, Y. L., Poggianti, B. M., Moretti, A., et al. 2018, MNRAS, 476, 4753 [Google Scholar]
  41. Jin, S., Trager, S. C., Dalton, G. B., et al. 2024, MNRAS, 530, 2688 [NASA ADS] [CrossRef] [Google Scholar]
  42. Johnston, K. V., Sigurdsson, S., & Hernquist, L. 1999, MNRAS, 302, 771 [Google Scholar]
  43. Ke, G., Meng, Q., Finley, T., et al. 2017, Adv. Neural Inform. Process. Syst., 30 [Google Scholar]
  44. Kolesnikov, I., Sampaio, V. M., de Carvalho, R. R., et al. 2024, MNRAS, 528, 82 [Google Scholar]
  45. Kolesnikov, I., Sampaio, V. M., de Carvalho, R. R., & Conselice, C. 2025, MNRAS, 539, 2765 [Google Scholar]
  46. Kormendy, J., & Kennicutt, Jr., R. C. 2004, ARA&A, 42, 603 [Google Scholar]
  47. Larson, R. B., Tinsley, B. M., & Caldwell, C. N. 1980, ApJ, 237, 692 [Google Scholar]
  48. Lintott, C. J., Schawinski, K., Slosar, A., et al. 2008, MNRAS, 389, 1179 [NASA ADS] [CrossRef] [Google Scholar]
  49. Lotz, J. M., Primack, J., & Madau, P. 2004, AJ, 128, 163 [NASA ADS] [CrossRef] [Google Scholar]
  50. Lotz, J. M., Davis, M., Faber, S. M., et al. 2008, ApJ, 672, 177 [NASA ADS] [CrossRef] [Google Scholar]
  51. Lundberg, S. M., & Lee, S.-I. 2017, in Advances in Neural Information Processing Systems, 30, eds. I. Guyon, U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, & R. Garnett (Curran Associates, Inc.) [Google Scholar]
  52. McKinney, W. 2010, in Proceedings of the 9th Python in Science Conference, eds. S. van der Walt, & J. Millman, 56 [Google Scholar]
  53. Nair, P. B., & Abraham, R. G. 2010, ApJS, 186, 427 [Google Scholar]
  54. Pawlik, M. M., Wild, V., Walcher, C. J., et al. 2016, MNRAS, 456, 3032 [NASA ADS] [CrossRef] [Google Scholar]
  55. Peebles, P. J. E. 1969, ApJ, 155, 393 [Google Scholar]
  56. Peng, C. Y., Ho, L. C., Impey, C. D., & Rix, H.-W. 2002, AJ, 124, 266 [Google Scholar]
  57. Peng, C. Y., Ho, L. C., Impey, C. D., & Rix, H.-W. 2010, AJ, 139, 2097 [Google Scholar]
  58. Planck Collaboration XIII. 2016, A&A, 594, A13 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  59. Poggianti, B. M., Moretti, A., Gullieuszik, M., et al. 2017, ApJ, 844, 48 [Google Scholar]
  60. Reback, J., Jbrockmendel, McKinney, W., et al. 2022, https://doi.org/10.5281/zenodo.3509134 [Google Scholar]
  61. Rodriguez-Gomez, V., Snyder, G. F., Lotz, J. M., et al. 2019, MNRAS, 483, 4140 [NASA ADS] [CrossRef] [Google Scholar]
  62. Rosa, R., De Carvalho, R., Sautter, R., et al. 2018, MNRAS, 477, L101 [Google Scholar]
  63. Sanchez-Janssen, R., & Gadotti, D. A. 2013, MNRAS, 432, L56 [Google Scholar]
  64. Sandage, A., & Tammann, G. A. 1987, A Revised Shapley-Ames Catalog of Bright Galaxies [Google Scholar]
  65. Sandage, A., & Bedke, J. 1994, The Carnegie Atlas of Galaxies, 638 [Google Scholar]
  66. Schawinski, K., Urry, C. M., Simmons, B. D., et al. 2014, MNRAS, 440, 889 [Google Scholar]
  67. Sérsic, J. L. 1963, Bol. Asoc. Argentina Astron. Plata Argentina, 6, 41 [Google Scholar]
  68. Sersic, J. L. 1968, Atlas de Galaxias Australes [Google Scholar]
  69. Simard, L., Willmer, C. N. A., Vogt, N. P., et al. 2002, ApJS, 142, 1 [NASA ADS] [CrossRef] [Google Scholar]
  70. Simard, L., Mendel, J. T., Patton, D. R., Ellison, S. L., & McConnachie, A. W. 2011, ApJS, 196, 11 [CrossRef] [Google Scholar]
  71. Springel, V., & Hernquist, L. 2005, ApJ, 622, L9 [Google Scholar]
  72. Strateva, I., Ivezic, Z., Knapp, G. R., et al. 2001, AJ, 122, 1861 [CrossRef] [Google Scholar]
  73. Teklu, A. F., Remus, R.-S., Dolag, K., et al. 2015, ApJ, 812, 29 [Google Scholar]
  74. Toomre, A., & Toomre, J. 1972, ApJ, 178, 623 [Google Scholar]
  75. Van Rossum, G., & Drake, F. L. 2009, Python 3 Reference Manual (Scotts Valley, CA: CreateSpace) [Google Scholar]
  76. Virtanen, P., Gommers, R., Oliphant, T. E., et al. 2020, Nat. Methods, 17, 261 [Google Scholar]
  77. Walmsley, M., Lintott, C., Géron, T., et al. 2022, MNRAS, 509, 3966 [Google Scholar]
  78. Wetzel, A. R., Tinker, J. L., Conroy, C., & van den Bosch, F. C. 2013, MNRAS, 432, 336 [Google Scholar]

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