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Home All issues Volume 689 (September 2024) A&A, 689 (2024) A298 References
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Issue
A&A
Volume 689, September 2024
Article Number A298
Number of page(s) 41
Section Cosmology (including clusters of galaxies)
DOI https://doi.org/10.1051/0004-6361/202348852
Published online 23 September 2024
  1. Adami, C., Giles, P., Koulouridis, E., et al. 2018, A&A, 620, A5 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  2. Ahmad, Q. R., Allen, R. C., Andersen, T. C., et al. 2002, Phys. Rev. Lett., 89, 011301 [Google Scholar]
  3. Aihara, H., Arimoto, N., Armstrong, R., et al. 2018, PASJ, 70, S4 [NASA ADS] [Google Scholar]
  4. Aird, J., Coil, A. L., Georgakakis, A., et al. 2015, MNRAS, 451, 1892 [Google Scholar]
  5. Aker, M., Altenmüller, K., Arenz, M., et al. 2019, Phys. Rev. Lett., 123, 221802 [Google Scholar]
  6. Alam, S., Ata, M., Bailey, S., et al. 2017, MNRAS, 470, 2617 [Google Scholar]
  7. Alam, S., Aubert, M., Avila, S., et al. 2021, Phys. Rev. D, 103, 083533 [NASA ADS] [CrossRef] [Google Scholar]
  8. Amendola, L., Appleby, S., Avgoustidis, A., et al. 2018, Liv. Rev. Relativ., 21, 2 [NASA ADS] [CrossRef] [Google Scholar]
  9. Amon, A., Gruen, D., Troxel, M. A., et al. 2022, Phys. Rev. D, 105, 023514 [NASA ADS] [CrossRef] [Google Scholar]
  10. Anderson, M. E., Gaspari, M., White, S. D. M., Wang, W., & Dai, X. 2015, MNRAS, 449, 3806 [NASA ADS] [CrossRef] [Google Scholar]
  11. Applegate, D. E., von der Linden, A., Kelly, P. L., et al. 2014, MNRAS, 439, 48 [Google Scholar]
  12. Asgari, M., Lin, C.-A., Joachimi, B., et al. 2021, A&A, 645, A104 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  13. Astier, P., Guy, J., Regnault, N., et al. 2006, A&A, 447, 31 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  14. Astropy Collaboration (Price-Whelan, A. M., et al.) 2022, ApJ, 935, 167 [NASA ADS] [CrossRef] [Google Scholar]
  15. Athar, M. S., Barwick, S. W., Brunner, T., et al. 2022, Prog. Part. Nucl. Phys., 124, 103947 [Google Scholar]
  16. Bahar, Y. E., Bulbul, E., Clerc, N., et al. 2022, A&A, 661, A7 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  17. Bahar, Y. E., Bulbul, E., Ghirardini, V., et al. 2024, A&A, in press https://doi.org/10.1051/0004-6361/202449399 [Google Scholar]
  18. Bahé, Y. M., McCarthy, I. G., & King, L. J. 2012, MNRAS, 421, 1073 [NASA ADS] [CrossRef] [Google Scholar]
  19. Barnes, D. J., Kay, S. T., Bahé, Y. M., et al. 2017, MNRAS, 471, 1088 [Google Scholar]
  20. Bashinsky, S., & Seljak, U. 2004, Phys. Rev. D, 69, 083002 [CrossRef] [Google Scholar]
  21. Bayer, J., Osendorfer, C., Diot-Girard, S., Rueckstiess, T., & Urban, S. 2015, TUM, Technical Report [Google Scholar]
  22. Becker, M. R., & Kravtsov, A. V. 2011, ApJ, 740, 25 [NASA ADS] [CrossRef] [Google Scholar]
  23. Beringer, J., Arguin, J. F., Barnett, R. M., et al. 2012, Phys. Rev. D, 86, 010001 [CrossRef] [Google Scholar]
  24. Beutler, F., Blake, C., Colless, M., et al. 2011, MNRAS, 416, 3017 [NASA ADS] [CrossRef] [Google Scholar]
  25. Bleem, L. E., Bocquet, S., Stalder, B., et al. 2020, ApJS, 247, 25 [Google Scholar]
  26. Bocquet, S., Saro, A., Dolag, K., & Mohr, J. J. 2016, MNRAS, 456, 2361 [Google Scholar]
  27. Bocquet, S., Dietrich, J. P., Schrabback, T., et al. 2019, ApJ, 878, 55 [Google Scholar]
  28. Bocquet, S., Grandis, S., Bleem, L. E., et al. 2024, arXiv e-prints [arXiv:2401.02075] [Google Scholar]
  29. Brout, D., Scolnic, D., Popovic, B., et al. 2022, ApJ, 938, 110 [NASA ADS] [CrossRef] [Google Scholar]
  30. Brunner, H., Liu, T., Lamer, G., et al. 2022, A&A, 661, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  31. Buchner, J. 2021, J. Open Source Softw., 6, 3001 [CrossRef] [Google Scholar]
  32. Buchner, J., Georgakakis, A., Nandra, K., et al. 2014, A&A, 564, A125 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  33. Bulbul, E., Chiu, I. N., Mohr, J. J., et al. 2019, ApJ, 871, 50 [Google Scholar]
  34. Bulbul, E., Liu, A., Pasini, T., et al. 2022, A&A, 661, A10 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  35. Bulbul, E., Liu, A., Kluge, M., et al. 2024, A&A, 685, A106 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  36. Burns, J. O., Skillman, S. W., & O’Shea, B. W. 2010, ApJ, 721, 1105 [NASA ADS] [CrossRef] [Google Scholar]
  37. Capasso, R., Mohr, J. J., Saro, A., et al. 2019, MNRAS, 486, 1594 [NASA ADS] [CrossRef] [Google Scholar]
  38. Capasso, R., Mohr, J. J., Saro, A., et al. 2020, MNRAS, 494, 2736 [CrossRef] [Google Scholar]
  39. Chisari, N. E., Alonso, D., Krause, E., et al. 2019, Astrophysics Source Code Library [record ascl:1901.003] [Google Scholar]
  40. Chiu, I. N., Ghirardini, V., Liu, A., et al. 2022, A&A, 661, A11 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  41. Chiu, I. N., Klein, M., Mohr, J., & Bocquet, S. 2023, MNRAS, 522, 1601 [NASA ADS] [CrossRef] [Google Scholar]
  42. Chuang, C.-H., Yepes, G., Kitaura, F.-S., et al. 2019, MNRAS, 487, 48 [NASA ADS] [CrossRef] [Google Scholar]
  43. Clerc, N., & Finoguenov, A. 2023, in Handbook of X-ray and Gamma-ray Astrophysics, eds. C. Bambi, & A. Santangelo (Berlin: Springer), 123 [Google Scholar]
  44. Clerc, N., Comparat, J., Seppi, R., et al. 2024, A&A, 687, A238 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  45. Comparat, J., Prada, F., Yepes, G., & Klypin, A. 2017, MNRAS, 469, 4157 [NASA ADS] [CrossRef] [Google Scholar]
  46. Comparat, J., Merloni, A., Salvato, M., et al. 2019, MNRAS, 487, 2005 [Google Scholar]
  47. Comparat, J., Eckert, D., Finoguenov, A., et al. 2020, Open J. Astrophys., 3, 13 [Google Scholar]
  48. Comparat, J., Luo, W., Merloni, A., et al. 2023, A&A, 673, A122 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  49. Cooke, R. J., Pettini, M., Nollett, K. M., & Jorgenson, R. 2016, ApJ, 830, 148 [Google Scholar]
  50. Cooke, R. J., Pettini, M., & Steidel, C. C. 2018, ApJ, 855, 102 [Google Scholar]
  51. Corless, V. L., & King, L. J. 2007, MNRAS, 380, 149 [NASA ADS] [CrossRef] [Google Scholar]
  52. Costanzi, M., Rozo, E., Rykoff, E. S., et al. 2019a, MNRAS, 482, 490 [CrossRef] [Google Scholar]
  53. Costanzi, M., Rozo, E., Simet, M., et al. 2019b, MNRAS, 488, 4779 [NASA ADS] [CrossRef] [Google Scholar]
  54. Costanzi, M., Saro, A., Bocquet, S., et al. 2021, Phys. Rev. D, 103, 043522 [Google Scholar]
  55. Costanzi, M., Villaescusa-Navarro, F., Viel, M., et al. 2013, JCAP, 2013, 012 [Google Scholar]
  56. Dalal, R., Li, X., Nicola, A., et al. 2023, Phys. Rev. D, 108, 123519 [CrossRef] [Google Scholar]
  57. Dark Energy Survey Collaboration (Abbott, T. M. C., et al.) 2020, Phys. Rev. D, 102, 023509 [NASA ADS] [CrossRef] [Google Scholar]
  58. Dark Energy Survey Collaboration (Abbott, T. M. C., et al.) 2022, Phys. Rev. D, 105, 023520 [CrossRef] [Google Scholar]
  59. Dark Energy Survey and Kilo-Degree Survey Collaboration (Abbott, T. M. C., et al.) 2023, Open J. Astrophys., 6, 36 [NASA ADS] [Google Scholar]
  60. Dauser, T., Falkner, S., Lorenz, M., et al. 2019, A&A, 630, A66 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  61. de Haan, T., Benson, B. A., Bleem, L. E., et al. 2016, ApJ, 832, 95 [NASA ADS] [CrossRef] [Google Scholar]
  62. DES Collaboration (Abbott, T. M. C., et al.) 2024, arXiv e-prints [arXiv:2401.02929] [Google Scholar]
  63. Despali, G., Giocoli, C., Angulo, R. E., et al. 2016, MNRAS, 456, 2486 [NASA ADS] [CrossRef] [Google Scholar]
  64. Dey, A., Schlegel, D. J., Lang, D., et al. 2019, AJ, 157, 168 [Google Scholar]
  65. Di Valentino, E., Mena, O., Pan, S., et al. 2021, Class. Quantum Gravity, 38, 153001 [NASA ADS] [CrossRef] [Google Scholar]
  66. Dietrich, J. P., Bocquet, S., Schrabback, T., et al. 2019, MNRAS, 483, 2871 [Google Scholar]
  67. Dolag, K., Bartelmann, M., & Lesch, H. 1999, A&A, 348, 351 [NASA ADS] [Google Scholar]
  68. Dolag, K., Vazza, F., Brunetti, G., & Tormen, G. 2005, MNRAS, 364, 753 [NASA ADS] [CrossRef] [Google Scholar]
  69. Duffy, R. T., Logan, C. H. A., Maughan, B. J., et al. 2022, MNRAS, 512, 2525 [NASA ADS] [CrossRef] [Google Scholar]
  70. Eckert, D., Ghirardini, V., Ettori, S., et al. 2019, A&A, 621, A40 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  71. Eckmiller, H. J., Hudson, D. S., & Reiprich, T. H. 2011, A&A, 535, A105 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  72. Eddington, A. S. 1913, MNRAS, 73, 359 [Google Scholar]
  73. Esteban, I., Gonzalez-Garcia, M. C., Maltoni, M., Schwetz, T., & Zhou, A. 2020, J. High Energy Phys., 2020, 178 [CrossRef] [Google Scholar]
  74. Fang, W., Hu, W., & Lewis, A. 2008, Phys. Rev. D, 78, 087303 [Google Scholar]
  75. Fixsen, D. J., Cheng, E. S., Gales, J. M., et al. 1996, ApJ, 473, 576 [Google Scholar]
  76. Freyberg, M., Perinati, E., Pacaud, F., et al. 2020, SPIE Conf. Ser., 11444, 114441O [Google Scholar]
  77. Fukuda, Y., Hayakawa, T., Ichihara, E., et al. 1998, Phys. Rev. Lett., 81, 1562 [Google Scholar]
  78. Fumagalli, A., Saro, A., Borgani, S., et al. 2021, A&A, 652, A21 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  79. Garrel, C., Pierre, M., Valageas, P., et al. 2022, A&A, 663, A3 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  80. Gatti, M., Giannini, G., Bernstein, G. M., et al. 2022, MNRAS, 510, 1223 [Google Scholar]
  81. Giblin, B., Heymans, C., Asgari, M., et al. 2021, A&A, 645, A105 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  82. Giles, P. A., Maughan, B. J., Pacaud, F., et al. 2016, A&A, 592, A3 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  83. Giles, P. A., Romer, A. K., Wilkinson, R., et al. 2022, MNRAS, 516, 3878 [NASA ADS] [CrossRef] [Google Scholar]
  84. GPy 2012, GPy: A Gaussian process framework in python, http://github.com/SheffieldML/GPy [Google Scholar]
  85. Grandis, S., Mohr, J. J., Dietrich, J. P., et al. 2019, MNRAS, 488, 2041 [NASA ADS] [Google Scholar]
  86. Grandis, S., Klein, M., Mohr, J. J., et al. 2020, MNRAS, 498, 771 [NASA ADS] [CrossRef] [Google Scholar]
  87. Grandis, S., Bocquet, S., Mohr, J. J., Klein, M., & Dolag, K. 2021a, MNRAS, 507, 5671 [NASA ADS] [CrossRef] [Google Scholar]
  88. Grandis, S., Mohr, J. J., Costanzi, M., et al. 2021b, MNRAS, 504, 1253 [NASA ADS] [CrossRef] [Google Scholar]
  89. Grandis, S., Ghirardini, V., Bocquet, S., et al. 2024, A&A, 687, A178 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  90. Gruen, D., Seitz, S., Brimioulle, F., et al. 2014, MNRAS, 442, 1507 [CrossRef] [Google Scholar]
  91. Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357 [NASA ADS] [CrossRef] [Google Scholar]
  92. Hensman, J., Fusi, N., & Lawrence, N. D. 2013, arXiv eprints [arXiv: 1309.6835] [Google Scholar]
  93. Hensman, J., Matthews, A., & Ghahramani, Z. 2015, in Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, eds. G. Guy Lebanon, & S. V. N. Vishwanathan, 38, 351 [Google Scholar]
  94. Heymans, C., Tröster, T., Asgari, M., et al. 2021, A&A, 646, A140 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  95. HI4PI Collaboration (Ben Bekhti, et al.) 2016, A&A, 594, A116 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  96. Hikage, C., Oguri, M., Hamana, T., et al. 2019, PASJ, 71, 43 [Google Scholar]
  97. Hildebrandt, H., van den Busch, J. L., Wright, A. H., et al. 2021, A&A, 647, A124 [EDP Sciences] [Google Scholar]
  98. Hinshaw, G., Larson, D., Komatsu, E., et al. 2013, ApJS, 208, 19 [Google Scholar]
  99. Hoekstra, H. 2001, A&A, 370, 743 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  100. Hoekstra, H. 2003, MNRAS, 339, 1155 [NASA ADS] [CrossRef] [Google Scholar]
  101. Hoekstra, H., Mahdavi, A., Babul, A., & Bildfell, C. 2012, MNRAS, 427, 1298 [NASA ADS] [CrossRef] [Google Scholar]
  102. Hogg, D. W. 1999, arXiv e-prints [arXiv:astro-ph/9905116] [Google Scholar]
  103. Hsieh, B. C., & Yee, H. K. C. 2014, ApJ, 792, 102 [Google Scholar]
  104. Hu, W., & Kravtsov, A. V. 2003, ApJ, 584, 702 [Google Scholar]
  105. Huff, E., & Mandelbaum, R. 2017, arXiv e-prints [arXiv:1702.02600] [Google Scholar]
  106. Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [NASA ADS] [CrossRef] [Google Scholar]
  107. Huterer, D. 2023, A&A Rev., 31, 2 [NASA ADS] [CrossRef] [Google Scholar]
  108. Ider Chitham, J., Comparat, J., Finoguenov, A., et al. 2020, MNRAS, 499, 4768 [NASA ADS] [CrossRef] [Google Scholar]
  109. Jeffreys, H. 1961, The Theory of Probability (Connecticut: Martino Fine Books) [Google Scholar]
  110. Kaiser, N. 1986, MNRAS, 222, 323 [Google Scholar]
  111. Kleinebreil, F., Grandis, S., Schrabback, T., et al. 2024, arXiv e-prints [arXiv:2402.08456] [Google Scholar]
  112. Kluge, M., Comparat, J., Liu, A., et al. 2024, A&A, 688, A210 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  113. Klypin, A., & Prada, F. 2019, MNRAS, 489, 1684 [NASA ADS] [CrossRef] [Google Scholar]
  114. Komatsu, E., Smith, K. M., Dunkley, J., et al. 2011, ApJS, 192, 18 [Google Scholar]
  115. Kowalski, M., Rubin, D., Aldering, G., et al. 2008, ApJ, 686, 749 [NASA ADS] [CrossRef] [Google Scholar]
  116. Kuijken, K., Heymans, C., Dvornik, A., et al. 2019, A&A, 625, A2 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  117. Kunz, M., & Sapone, D. 2006, Phys. Rev. D, 74, 123503 [NASA ADS] [CrossRef] [Google Scholar]
  118. Lau, E. T., Kravtsov, A. V., & Nagai, D. 2009, ApJ, 705, 1129 [NASA ADS] [CrossRef] [Google Scholar]
  119. Lesci, G. F., Marulli, F., Moscardini, L., et al. 2022, A&A, 659, A88 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  120. Lesgourgues, J., Mangano, G., Miele, G., & Pastor, S. 2013, Neutrino Cosmology (Cambridge: Cambridge University Press) [CrossRef] [Google Scholar]
  121. Lewis, A. 2019, arXiv e-prints [arXiv:1910.13970] [Google Scholar]
  122. Lewis, A., & Challinor, A. 2011, Astrophysics Source Code Library [record ascl:1102.026] [Google Scholar]
  123. Li, X., Miyatake, H., Luo, W., et al. 2022, PASJ, 74, 421 [NASA ADS] [CrossRef] [Google Scholar]
  124. Li, X., Zhang, T., Sugiyama, S., et al. 2023, Phys. Rev. D, 108, 123518 [CrossRef] [Google Scholar]
  125. Liu, T., Merloni, A., Comparat, J., et al. 2022, A&A, 661, A27 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  126. Lovisari, L., Reiprich, T. H., & Schellenberger, G. 2015, A&A, 573, A118 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  127. Lovisari, L., Schellenberger, G., Sereno, M., et al. 2020, ApJ, 892, 102 [Google Scholar]
  128. Lovisari, L., Ettori, S., Gaspari, M., & Giles, P. A. 2021, Universe, 7, 139 [NASA ADS] [CrossRef] [Google Scholar]
  129. Madhavacheril, M. S., Qu, F. J., Sherwin, B. D., et al. 2024, ApJ, 962, 113 [CrossRef] [Google Scholar]
  130. Malmquist, K. G. 1922, Meddelanden fran Lunds Astronomiska Observatorium Serie I, 100, 1 [Google Scholar]
  131. Mandelbaum, R. 2018, ARA&A, 56, 393 [Google Scholar]
  132. Mandelbaum, R., Lanusse, F., Leauthaud, A., et al. 2018, MNRAS, 481, 3170 [NASA ADS] [CrossRef] [Google Scholar]
  133. Mantz, A., Allen, S. W., Rapetti, D., & Ebeling, H. 2010, MNRAS, 406, 1759 [NASA ADS] [Google Scholar]
  134. Mantz, A. B., von der Linden, A., Allen, S. W., et al. 2015, MNRAS, 446, 2205 [Google Scholar]
  135. Mantz, A. B., Allen, S. W., Morris, R. G., et al. 2016, MNRAS, 463, 3582 [NASA ADS] [CrossRef] [Google Scholar]
  136. Marinacci, F., Vogelsberger, M., Pakmor, R., et al. 2018, MNRAS, 480, 5113 [NASA ADS] [Google Scholar]
  137. Maughan, B. J., Jones, C., Jones, L. R., & Van Speybroeck, L. 2007, ApJ, 659, 1125 [Google Scholar]
  138. McClintock, T., Varga, T. N., Gruen, D., et al. 2019, MNRAS, 482, 1352 [Google Scholar]
  139. Melchior, P., Gruen, D., McClintock, T., et al. 2017, MNRAS, 469, 4899 [CrossRef] [Google Scholar]
  140. Meneghetti, M., Rasia, E., Merten, J., et al. 2010, A&A, 514, A93 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  141. Merloni, A., Lamer, G., Liu, T., et al. 2024, A&A, 682, A34 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  142. Miyatake, H., Sugiyama, S., Takada, M., et al. 2023, Phys. Rev. D, 108, 123517 [NASA ADS] [CrossRef] [Google Scholar]
  143. More, S., Sugiyama, S., Miyatake, H., et al. 2023, Phys. Rev. D, 108, 123520 [NASA ADS] [CrossRef] [Google Scholar]
  144. Mossa, V., Stöckel, K., Cavanna, F., et al. 2020, Nature, 587, 210 [CrossRef] [PubMed] [Google Scholar]
  145. Murray, S. G., Power, C., & Robotham, A. S. G. 2013, Astron. Comput., 3, 23 [CrossRef] [Google Scholar]
  146. Myles, J., Alarcon, A., Amon, A., et al. 2021, MNRAS, 505, 4249 [NASA ADS] [CrossRef] [Google Scholar]
  147. Naiman, J. P., Pillepich, A., Springel, V., et al. 2018, MNRAS, 477, 1206 [Google Scholar]
  148. Navarro, J. F., Frenk, C. S., & White, S. D. M. 1996, ApJ, 462, 563 [Google Scholar]
  149. Nelson, D., Pillepich, A., Springel, V., et al. 2018, MNRAS, 475, 624 [Google Scholar]
  150. Nelson, D., Springel, V., Pillepich, A., et al. 2019, Comput. Astrophys. Cosmol., 6, 2 [Google Scholar]
  151. Nishizawa, A. J., Hsieh, B.-C., Tanaka, M., & Takata, T. 2020, arXiv e-prints [arXiv:2003.01511] [Google Scholar]
  152. Nurgaliev, D., McDonald, M., Benson, B. A., et al. 2017, ApJ, 841, 5 [Google Scholar]
  153. Peebles, P. J. E. 1980, The Large-scale Structure of the Universe (Princeton: Princeton University Press) [Google Scholar]
  154. Perlmutter, S., Aldering, G., Goldhaber, G., et al. 1999, ApJ, 517, 565 [Google Scholar]
  155. Pierre, M., Pacaud, F., Adami, C., et al. 2016, A&A, 592, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  156. Pillepich, A., Nelson, D., Hernquist, L., et al. 2018, MNRAS, 475, 648 [Google Scholar]
  157. Pitrou, C., Coc, A., Uzan, J.-P., & Vangioni, E. 2021, MNRAS, 502, 2474 [NASA ADS] [CrossRef] [Google Scholar]
  158. Planck Collaboration III. 2013, A&A, 550, A129 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  159. Planck Collaboration XX. 2014, A&A, 571, A20 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  160. Planck Collaboration XIII. 2016, A&A, 594, A13 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  161. Planck Collaboration XXIV. 2016, A&A, 594, A24 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  162. Planck Collaboration VI. 2020, A&A, 641, A6 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  163. Planck Collaboration VIII. 2020, A&A, 641, A8 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  164. Pop, A.-R., Hernquist, L., Nagai, D., et al. 2022, arXiv e-prints [arXiv:2205.11528] [Google Scholar]
  165. Pratt, G. W., Croston, J. H., Arnaud, M., & Böhringer, H. 2009, A&A, 498, 361 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  166. Predehl, P., Andritschke, R., Arefiev, V., et al. 2021, A&A, 647, A1 [EDP Sciences] [Google Scholar]
  167. Press, W. H., & Schechter, P. 1974, ApJ, 187, 425 [Google Scholar]
  168. Qian, X., & Vogel, P. 2015, Prog. Particle Nucl. Phys., 83, 1 [NASA ADS] [CrossRef] [Google Scholar]
  169. Qu, F. J., Sherwin, B. D., Madhavacheril, M. S., et al. 2024, ApJ, 962, 112 [NASA ADS] [CrossRef] [Google Scholar]
  170. Ramos-Ceja, M. E., Oguri, M., Miyazaki, S., et al. 2022, A&A, 661, A14 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  171. Rasia, E., Ettori, S., Moscardini, L., et al. 2006, MNRAS, 369, 2013 [CrossRef] [Google Scholar]
  172. Rasia, E., Meneghetti, M., Martino, R., et al. 2012, New J. Phys., 14, 055018 [Google Scholar]
  173. Rasmussen, C. E., & Williams, C. K. I. 2006, Gaussian Processes for Machine Learning (Cambridge, Massachusetts: MIT Press) [Google Scholar]
  174. Reiprich, T. H., & Böhringer, H. 2002, ApJ, 567, 716 [Google Scholar]
  175. Riess, A. G., Filippenko, A. V., Challis, P., et al. 1998, AJ, 116, 1009 [Google Scholar]
  176. Riess, A. G., Yuan, W., Macri, L. M., et al. 2022, ApJ, 934, L7 [NASA ADS] [CrossRef] [Google Scholar]
  177. Rossetti, M., Gastaldello, F., Eckert, D., et al. 2017, MNRAS, 468, 1917 [Google Scholar]
  178. Rossi, G., Yèche, C., Palanque-Delabrouille, N., & Lesgourgues, J. 2015, Phys. Rev. D, 92, 063505 [NASA ADS] [CrossRef] [Google Scholar]
  179. Rowe, B. T. P., Jarvis, M., Mandelbaum, R., et al. 2015, Astron. Comput., 10, 121 [Google Scholar]
  180. Rykoff, E. S., Rozo, E., Busha, M. T., et al. 2014, ApJ, 785, 104 [Google Scholar]
  181. Salvato, M., Buchner, J., Budavári, T., et al. 2018, MNRAS, 473, 4937 [Google Scholar]
  182. Salvato, M., Wolf, J., Dwelly, T., et al. 2022, A&A, 661, A3 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  183. Sanders, J. S., Fabian, A. C., Russell, H. R., & Walker, S. A. 2018, MNRAS, 474, 1065 [NASA ADS] [CrossRef] [Google Scholar]
  184. Saro, A., Bocquet, S., Rozo, E., et al. 2015, MNRAS, 454, 2305 [Google Scholar]
  185. Scheck, D., Sanders, J. S., Biffi, V., et al. 2023, A&A, 670, A33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  186. Schellenberger, G., & Reiprich, T. H. 2017a, MNRAS, 469, 3738 [CrossRef] [Google Scholar]
  187. Schellenberger, G., & Reiprich, T. H. 2017b, MNRAS, 471, 1370 [Google Scholar]
  188. Schrabback, T., Applegate, D., Dietrich, J. P., et al. 2018, MNRAS, 474, 2635 [Google Scholar]
  189. Scolnic, D. M., Jones, D. O., Rest, A., et al. 2018, ApJ, 859, 101 [NASA ADS] [CrossRef] [Google Scholar]
  190. Scolnic, D., Brout, D., Carr, A., et al. 2022, ApJ, 938, 113 [NASA ADS] [CrossRef] [Google Scholar]
  191. Secco, L. F., Samuroff, S., Krause, E., et al. 2022, Phys. Rev. D, 105, 023515 [NASA ADS] [CrossRef] [Google Scholar]
  192. Seppi, R., Comparat, J., Nandra, K., et al. 2021, A&A, 652, A155 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  193. Seppi, R., Comparat, J., Bulbul, E., et al. 2022, A&A, 665, A78 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  194. Sevilla-Noarbe, I., Bechtol, K., Carrasco Kind, M., et al. 2021, ApJS, 254, 24 [NASA ADS] [CrossRef] [Google Scholar]
  195. Sheldon, E. S., & Huff, E. M. 2017, ApJ, 841, 24 [NASA ADS] [CrossRef] [Google Scholar]
  196. Smoot, G. F., Bennett, C. L., Kogut, A., et al. 1992, ApJ, 396, L1 [Google Scholar]
  197. Sommer, M. W., Schrabback, T., Applegate, D. E., et al. 2022, MNRAS, 509, 1127 [Google Scholar]
  198. Sommer, M. W., Schrabback, T., Ragagnin, A., & Rockenfeller, R. 2024, MNRAS, 532, 3359 [NASA ADS] [CrossRef] [Google Scholar]
  199. Springel, V., Pakmor, R., Pillepich, A., et al. 2018, MNRAS, 475, 676 [Google Scholar]
  200. Sugiyama, S., Miyatake, H., More, S., et al. 2023, Phys. Rev. D, 108, 123521 [NASA ADS] [CrossRef] [Google Scholar]
  201. Sunyaev, R., Arefiev, V., Babyshkin, V., et al. 2021, A&A, 656, A132 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  202. Tanabashi, M., Hagiwara, K., Hikasa, K., et al. 2018, Phys. Rev. D, 98, 030001 [CrossRef] [Google Scholar]
  203. Tanaka, M., Coupon, J., Hsieh, B.-C., et al. 2018, PASJ, 70, S9 [Google Scholar]
  204. Tanseri, I., Hagstotz, S., Vagnozzi, S., Giusarma, E., & Freese, K. 2022, J. High Energy Astrophys., 36, 1 [NASA ADS] [CrossRef] [Google Scholar]
  205. Tinker, J., Kravtsov, A. V., Klypin, A., et al. 2008, ApJ, 688, 709 [Google Scholar]
  206. Tinker, J. L., Robertson, B. E., Kravtsov, A. V., et al. 2010, ApJ, 724, 878 [NASA ADS] [CrossRef] [Google Scholar]
  207. Titsias, M. 2009, in Proceedings of Machine Learning Research, Proceedings of the Twelth International Conference on Artificial Intelligence and Statistics, eds. D. van Dyk, & M. Welling (Hilton Clearwater Beach Resort, Clearwater Beach, Florida USA: PMLR), 5, 567 [Google Scholar]
  208. Trotta, R. 2008, Contemp. Phys., 49, 71 [Google Scholar]
  209. Vagnozzi, S., Giusarma, E., Mena, O., et al. 2017, Phys. Rev. D, 96, 123503 [NASA ADS] [CrossRef] [Google Scholar]
  210. Valageas, P., Clerc, N., Pacaud, F., & Pierre, M. 2011, A&A, 536, A95 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  211. van den Busch, J. L., Wright, A. H., Hildebrandt, H., et al. 2022, A&A, 664, A170 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  212. Varga, T. N., DeRose, J., Gruen, D., et al. 2019, MNRAS, 489, 2511 [NASA ADS] [CrossRef] [Google Scholar]
  213. Vazza, F., Brunetti, G., Kritsuk, A., et al. 2009, A&A, 504, 33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  214. Vikhlinin, A., Kravtsov, A. V., Burenin, R. A., et al. 2009, ApJ, 692, 1060 [Google Scholar]
  215. Vikman, A. 2005, Phys. Rev. D, 71, 023515 [NASA ADS] [CrossRef] [Google Scholar]
  216. Virtanen, P., Gommers, R., Oliphant, T. E., et al. 2020, Nat. Methods, 17, 261 [Google Scholar]
  217. von der Linden, A., Allen, M. T., Applegate, D. E., et al. 2014, MNRAS, 439, 2 [NASA ADS] [CrossRef] [Google Scholar]
  218. Walker, T. P., Steigman, G., Schramm, D. N., Olive, K. A., & Kang, H.-S. 1991, ApJ, 376, 51 [CrossRef] [Google Scholar]
  219. Willingale, R., Starling, R. L. C., Beardmore, A. P., Tanvir, N. R., & O’Brien, P. T. 2013, MNRAS, 431, 394 [Google Scholar]
  220. Willis, J. P., Oguri, M., Ramos-Ceja, M. E., et al. 2021, MNRAS, 503, 5624 [CrossRef] [Google Scholar]
  221. Wright, A. H., Hildebrandt, H., van den Busch, J. L., & Heymans, C. 2020, A&A, 637, A100 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  222. Zeiler, M. D. 2012, arXiv e-prints [arXiv:1212.5701] [Google Scholar]
  223. Zeng, Z., Yeung, S., & Chu, M.-c. 2019, JCAP, 2019, 015 [CrossRef] [Google Scholar]
  224. Zohren, H., Schrabback, T., Bocquet, S., et al. 2022, A&A, 668, A18 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  225. Zubeldia, Í., & Challinor, A. 2019, MNRAS, 489, 401 [NASA ADS] [CrossRef] [Google Scholar]

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