EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues Volume 704 (December 2025) A&A, 704 (2025) A334 References
Open Access
Issue
A&A
Volume 704, December 2025
Article Number A334
Number of page(s) 20
Section Extragalactic astronomy
DOI https://doi.org/10.1051/0004-6361/202555691
Published online 18 December 2025
  1. Akiba, T., Sano, S., Yanase, T., Ohta, T., & Koyama, M. 2019, The 25th ACM SIGKDD International Conference on Knowledge Discovery& Data Mining, 2623 [Google Scholar]
  2. Allen, S. W., Evrard, A. E., & Mantz, A. B. 2011, ARA&A, 49, 409 [Google Scholar]
  3. Alzubaidi, L., Zhang, J., Humaidi, A. J., et al. 2021, J. Big Data, 8 [Google Scholar]
  4. Ansarifard, S., Rasia, E., Biffi, V., et al. 2020, A&A, 634, A113 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  5. Arnaud, M., Pratt, G. W., Piffaretti, R., et al. 2010, A&A, 517, A92 [CrossRef] [EDP Sciences] [Google Scholar]
  6. Aymerich, G., Douspis, M., Pratt, G. W., et al. 2024, A&A, 690, A238 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  7. Beck, A. M., Murante, G., Arth, A., et al. 2016, MNRAS, 455, 2110 [Google Scholar]
  8. Böhringer, H., Schuecker, P., Pratt, G. W., et al. 2007, A&A, 469, 363 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  9. Bolliet, B., Comis, B., Komatsu, E., & Macías-Pérez, J. F. 2018, MNRAS, 477, 4957 [NASA ADS] [CrossRef] [Google Scholar]
  10. Braspenning, J., Schaye, J., Schaller, M., et al. 2024, MNRAS, 533, 2656 [NASA ADS] [CrossRef] [Google Scholar]
  11. Cappellari, M., McDermid, R. M., Alatalo, K., et al. 2013, MNRAS, 432, 1862 [NASA ADS] [CrossRef] [Google Scholar]
  12. Chen, C. M. H., Arnaud, M., Pointecouteau, E., Pratt, G. W., & Iqbal, A. 2024, A&A, 688, A219 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  13. Chuang, C.-Y., Jespersen, C. K., Lin, Y.-T., Ho, S., & Genel, S. 2024, ApJ, 965, 101 [Google Scholar]
  14. Cialone, G., De Petris, M., Sembolini, F., et al. 2018, MNRAS, 477, 139 [Google Scholar]
  15. Cleveland, W. S. 1979, J. Am. Stat. Assoc., 74, 829 [Google Scholar]
  16. Cranmer, M., Melchior, P., & Nord, B. 2021, in NeurIPS 2020 Workshop on Pre-registration in Machine Learning, eds. L. Bertinetto, J. F. Henriques, S. Albanie, M. Paganini, & G. Varol (PMLR), PMLR, 148, 272 [Google Scholar]
  17. Croston, J. H., Pratt, G. W., Böhringer, H., et al. 2008, A&A, 487, 431 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  18. Cui, W., Power, C., Borgani, S., et al. 2017, MNRAS, 464, 2502 [NASA ADS] [CrossRef] [Google Scholar]
  19. Cui, W., Knebe, A., Yepes, G., et al. 2018, MNRAS, 480, 2898 [Google Scholar]
  20. Cui, W., Dave, R., Knebe, A., et al. 2022, MNRAS, 514, 977 [NASA ADS] [CrossRef] [Google Scholar]
  21. de Andres, D., Cui, W., Ruppin, F., et al. 2022, Nat. Astron., 6, 1325 [NASA ADS] [CrossRef] [Google Scholar]
  22. de Andres, D., Cui, W., Yepes, G., et al. 2024, MNRAS, 528, 1517 [Google Scholar]
  23. De Luca, F., De Petris, M., Yepes, G., et al. 2021, MNRAS, 504, 5383 [NASA ADS] [CrossRef] [Google Scholar]
  24. Eckert, D., Ettori, S., Pointecouteau, E., et al. 2017, Astron. Nachr., 338, 293 [Google Scholar]
  25. Eckert, D., Ghirardini, V., Ettori, S., et al. 2019, A&A, 621, A40 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  26. Eckert, D., Ettori, S., Pointecouteau, E., van der Burg, R. F. J., & Loubser, S. I. 2022, A&A, 662, A123 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  27. Euclid Collaboration (Giocoli, C., et al.) 2024, A&A, 681, A67 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  28. Ferragamo, A., de Andres, D., Sbriglio, A., et al. 2023, MNRAS, 520, 4000 [NASA ADS] [CrossRef] [Google Scholar]
  29. Frenk, C. S., White, S. D. M., Efstathiou, G., & Davis, M. 1985, Nature, 317, 595 [NASA ADS] [CrossRef] [Google Scholar]
  30. Fumagalli, A., Costanzi, M., Saro, A., Castro, T., & Borgani, S. 2024, A&A, 682, A148 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  31. Ghirardini, V., Eckert, D., Ettori, S., et al. 2019, A&A, 621, A41 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  32. Gianfagna, G., De Petris, M., Yepes, G., et al. 2021, MNRAS, 502, 5115 [NASA ADS] [CrossRef] [Google Scholar]
  33. Gianfagna, G., Rasia, E., Cui, W., et al. 2023, MNRAS, 518, 4238 [Google Scholar]
  34. Green, S. B., Ntampaka, M., Nagai, D., et al. 2019, ApJ, 884, 33 [NASA ADS] [CrossRef] [Google Scholar]
  35. Haggar, R., Gray, M. E., Pearce, F. R., et al. 2020, MNRAS, 492, 6074 [NASA ADS] [CrossRef] [Google Scholar]
  36. Hamilton, W., Ying, Z., & Leskovec, J. 2017, Adv. Neural Inf. Process. Syst., 30 [Google Scholar]
  37. Ho, M., Rau, M. M., Ntampaka, M., et al. 2019, ApJ, 887, 25 [NASA ADS] [CrossRef] [Google Scholar]
  38. Ho, M., Farahi, A., Rau, M. M., & Trac, H. 2021, ApJ, 908, 204 [NASA ADS] [CrossRef] [Google Scholar]
  39. Ho, M., Ntampaka, M., Rau, M. M., et al. 2022, Nat. Astron., 6, 936 [NASA ADS] [CrossRef] [Google Scholar]
  40. Ho, M., Soltis, J., Farahi, A., et al. 2023, MNRAS, 524, 3289 [Google Scholar]
  41. Hoekstra, H. 2014, New Horizons for Observational Cosmology (IOS Press), 59 [Google Scholar]
  42. Iqbal, A., Kale, R., Nath, B. B., & Majumdar, S. 2018, MNRAS, 480, L68 [Google Scholar]
  43. Iqbal, A., Pratt, G. W., Bobin, J., et al. 2023a, A&A, 679, A51 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  44. Iqbal, A., Majumdar, S., Nath, B. B., & Roychowdhury, S. 2023b, MNRAS, 518, 2735 [Google Scholar]
  45. Jagvaral, Y., Mandelbaum, R., Lanusse, F., et al. 2022, Machine Learning for Astrophysics, 19 [Google Scholar]
  46. Jespersen, C. K., Cranmer, M., Melchior, P., et al. 2022, ApJ, 941, 7 [NASA ADS] [CrossRef] [Google Scholar]
  47. Kawahara, H., Suto, Y., Kitayama, T., et al. 2007, ApJ, 659, 257 [NASA ADS] [CrossRef] [Google Scholar]
  48. Kay, S. T., & Pratt, G. W. 2022, Handbook of X-ray and Gamma-ray Astrophysics. Edited by Cosimo Bambi and Andrea Santangelo, 100 [Google Scholar]
  49. Kelly, B. C. 2007, ApJ, 665, 1489 [Google Scholar]
  50. Kipf, T. N., & Welling, M. 2016, ArXiv e-prints [arXiv:1609.02907] [Google Scholar]
  51. Klypin, A., Yepes, G., Gottlöber, S., Prada, F., & Heß, S. 2016, MNRAS, 457, 4340 [Google Scholar]
  52. Kodi Ramanah, D., Wojtak, R., & Arendse, N. 2021, MNRAS, 501, 4080 [Google Scholar]
  53. Kravtsov, A. V., & Borgani, S. 2012, ARA&A, 50, 353 [Google Scholar]
  54. Krippendorf, S., Baron Perez, N., Bulbul, E., et al. 2024, A&A, 682, A132 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  55. Lehle, K., Nelson, D., Pillepich, A., Truong, N., & Rohr, E. 2024, A&A, 687, A129 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  56. Lemos, P., Jeffrey, N., Cranmer, M., Ho, S., & Battaglia, P. 2023, Mach. Learn.: Sci. Technol., 4, 045002 [Google Scholar]
  57. Li, Y., Tarlow, D., Brockschmidt, M., & Zemel, R. 2015, ArXiv e-prints [arXiv:1511.05493] [Google Scholar]
  58. Lovisari, L., & Maughan, B. J. 2022, Handbook of X-ray and Gamma-ray Astrophysics, 65 [Google Scholar]
  59. Majumdar, S., & Mohr, J. J. 2004, ApJ, 613, 41 [NASA ADS] [CrossRef] [Google Scholar]
  60. Makinen, T. L., Charnock, T., Lemos, P., et al. 2022, Open J. Astrophys., 5, 18 [NASA ADS] [CrossRef] [Google Scholar]
  61. Mantz, A., Allen, S. W., Rapetti, D., & Ebeling, H. 2010, MNRAS, 406, 1759 [NASA ADS] [Google Scholar]
  62. Melin, J. B., Bartlett, J. G., & Delabrouille, J. 2006, A&A, 459, 341 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  63. Melin, J. B., Aghanim, N., Bartelmann, M., et al. 2012, A&A, 548, A51 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  64. Muñoz-Echeverría, M., Macías-Pérez, J. F., Pratt, G. W., et al. 2024, A&A, 682, A147 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  65. Nelson, K., Lau, E. T., & Nagai, D. 2014, ApJ, 792, 25 [NASA ADS] [CrossRef] [Google Scholar]
  66. Ntampaka, M., Trac, H., Sutherland, D. J., et al. 2015, ApJ, 803, 50 [NASA ADS] [CrossRef] [Google Scholar]
  67. Ntampaka, M., ZuHone, J., Eisenstein, D., et al. 2019, ApJ, 876, 82 [NASA ADS] [CrossRef] [Google Scholar]
  68. Planck Collaboration XXIX. 2014, A&A, 571, A29 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  69. Planck Collaboration VIII. 2016, A&A, 594, A8 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  70. Planck Collaboration XIII. 2016, A&A, 594, A13 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  71. Planck Collaboration XXVII. 2016, A&A, 594, A27 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  72. Planck Collaboration Int. III. 2013, A&A, 550, A129 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  73. Planck Collaboration Int. V. 2013, A&A, 550, A131 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  74. Pratt, G. W., Böhringer, H., Croston, J. H., et al. 2007, A&A, 461, 71 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  75. Pratt, G. W., Arnaud, M., Piffaretti, R., et al. 2010, A&A, 511, A85 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  76. Pratt, G. W., Arnaud, M., Biviano, A., et al. 2019, Space Sci. Rev., 215, 25 [Google Scholar]
  77. Pratt, G. W., Arnaud, M., Maughan, B. J., & Melin, J. B. 2022, A&A, 665, A24 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  78. Ramanah, K. D., Wojtak, R., Ansari, Z., Gall, C., & Hjorth, J. 2020, MNRAS, 499, 1985 [NASA ADS] [CrossRef] [Google Scholar]
  79. Rasia, E., Meneghetti, M., Martino, R., et al. 2012, New J. Phys., 14, 055018 [Google Scholar]
  80. Rasia, E., Meneghetti, M., & Ettori, S. 2013, Astron. Rev., 8, 40 [Google Scholar]
  81. Rasia, E., Borgani, S., Murante, G., et al. 2015, ApJ, 813, L17 [Google Scholar]
  82. Riva, G., Pratt, G. W., Rossetti, M., et al. 2024, A&A, 691, A340 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  83. Salvati, L., Douspis, M., Ritz, A., Aghanim, N., & Babul, A. 2019, A&A, 626, A27 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  84. Shi, Y., Huang, Z., Feng, S., et al. 2020, ArXiv e-prints [arXiv:2009.03509] [Google Scholar]
  85. Umetsu, K., Medezinski, E., Nonino, M., et al. 2014, ApJ, 795, 163 [NASA ADS] [CrossRef] [Google Scholar]
  86. Veličković, P., Cucurull, G., Casanova, A., et al. 2017, Stat, 1050, 10 [Google Scholar]
  87. Vikhlinin, A., Burenin, R. A., Ebeling, H., et al. 2009, ApJ, 692, 1033 [Google Scholar]
  88. Villaescusa-Navarro, F., Anglés-Alcázar, D., Genel, S., et al. 2021, ApJ, 915, 71 [NASA ADS] [CrossRef] [Google Scholar]
  89. Villanueva-Domingo, P., & Villaescusa-Navarro, F. 2022, ApJ, 937, 115 [NASA ADS] [CrossRef] [Google Scholar]
  90. Villanueva-Domingo, P., Villaescusa-Navarro, F., Anglés-Alcázar, D., et al. 2022, ApJ, 935, 30 [NASA ADS] [CrossRef] [Google Scholar]
  91. Wadekar, D., Thiele, L., Hill, J. C., et al. 2023, MNRAS, 522, 2628 [NASA ADS] [CrossRef] [Google Scholar]
  92. Watanabe, S. 2023, ArXiv e-prints [arXiv:2304.11127] [Google Scholar]
  93. Wu, J. F., & Kragh Jespersen, C. 2023, ArXiv e-prints [arXiv:2306.12327] [Google Scholar]
  94. Wu, J. F., Jespersen, C. K., & Wechsler, R. H. 2024, ApJ, 976, 37 [Google Scholar]
  95. Yan, Z., Mead, A. J., Van Waerbeke, L., Hinshaw, G., & McCarthy, I. G. 2020, MNRAS, 499, 3445 [NASA ADS] [CrossRef] [Google Scholar]
  96. Zhang, B., Cui, W., Wang, Y., Dave, R., & De Petris, M. 2022, MNRAS, 516, 26 [NASA ADS] [CrossRef] [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.