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Home All issues Volume 692 (December 2024) A&A, 692 (2024) A87 References
Open Access
Issue
A&A
Volume 692, December 2024
Article Number A87
Number of page(s) 24
Section Cosmology (including clusters of galaxies)
DOI https://doi.org/10.1051/0004-6361/202451095
Published online 04 December 2024
  1. Adam, A., Perreault-Levasseur, L., Hezaveh, Y., & Welling, M. 2023, ApJ, 951, 6 [NASA ADS] [CrossRef] [Google Scholar]
  2. Arras, P., Baltac, M., Ensslin, T. A., et al. 2019, Astrophysics Source Code Library [record ascl:1903.008] [Google Scholar]
  3. Astropy Collaboration (Robitaille, T. P., et al.) 2013, A&A, 558, A33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  4. Barkana, R. 1998, ApJ, 502, 531 [NASA ADS] [CrossRef] [Google Scholar]
  5. Bingham, E., Chen, J. P., Jankowiak, M., et al. 2019, J. Mach. Learn. Res., 20, 28:1 [Google Scholar]
  6. Birrer, S. 2021, ApJ, 919, 38 [NASA ADS] [CrossRef] [Google Scholar]
  7. Birrer, S., & Amara, A. 2018, Phys. Dark Univ., 22, 189 [Google Scholar]
  8. Birrer, S., & Treu, T. 2019, MNRAS, 489, 2097 [NASA ADS] [CrossRef] [Google Scholar]
  9. Birrer, S., Amara, A., & Refregier, A. 2015, ApJ, 813, 102 [Google Scholar]
  10. Birrer, S., Amara, A., & Refregier, A. 2016, JCAP, 2016, 020 [CrossRef] [Google Scholar]
  11. Birrer, S., Shajib, A. J., Galan, A., et al. 2020, A&A, 643, A165 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  12. Birrer, S., Shajib, A., Gilman, D., et al. 2021, J. Open Source Softw., 6, 3283 [NASA ADS] [CrossRef] [Google Scholar]
  13. Blei, D. M., Kucukelbir, A., & McAuliffe, J. D. 2016, ArXiv e-prints [arXiv:1601.00670] [Google Scholar]
  14. Blum, K., Castorina, E., & Simonović, M. 2020, ApJ, 892, L27 [Google Scholar]
  15. Bolton, A. S., Burles, S., Koopmans, L. V. E., Treu, T., & Moustakas, L. A. 2006, ApJ, 638, 703 [NASA ADS] [CrossRef] [Google Scholar]
  16. Bradbury, J., Frostig, R., Hawkins, P., et al. 2018, JAX: Composable Transformations of Python+NumPy Programs, http://github.com/jax-ml/jax [Google Scholar]
  17. Cao, X., Li, R., Nightingale, J. W., et al. 2022, Res. Astron. Astrophys., 22, 025014 [CrossRef] [Google Scholar]
  18. Collett, T. E. 2015, ApJ, 811, 20 [NASA ADS] [CrossRef] [Google Scholar]
  19. Collett, T. E., & Auger, M. W. 2014, MNRAS, 443, 969 [NASA ADS] [CrossRef] [Google Scholar]
  20. Collett, T. E., Buckley-Geer, E., Lin, H., et al. 2017, ApJ, 843, 148 [NASA ADS] [CrossRef] [Google Scholar]
  21. Diego, J. M., Meena, A. K., Adams, N. J., et al. 2023, A&A, 672, A3 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  22. Ding, X., Treu, T., Birrer, S., et al. 2021, MNRAS, 503, 1096 [Google Scholar]
  23. Edenhofer, G., Frank, P., Roth, J., et al. 2024, J. Open Source Softw., 9, 6593 [NASA ADS] [CrossRef] [Google Scholar]
  24. Enßlin, T. A. 2019, Ann. Phys., 531, 1800127 [Google Scholar]
  25. Ertl, S., Schuldt, S., Suyu, S. H., et al. 2023, A&A, 672, A2 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  26. Ertl, S., Schuldt, S., Suyu, S. H., et al. 2024, A&A, 685, A15 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  27. Etherington, A., Nightingale, J. W., Massey, R., et al. 2022, MNRAS, 517, 3275 [CrossRef] [Google Scholar]
  28. Etherington, A., Nightingale, J. W., Massey, R., et al. 2024, MNRAS, 531, 3684 [NASA ADS] [CrossRef] [Google Scholar]
  29. Falco, E. E., Gorenstein, M. V., & Shapiro, I. I. 1985, ApJ, 289, L1 [Google Scholar]
  30. Feroz, F., Hobson, M. P., & Bridges, M. 2009, MNRAS, 398, 1601 [NASA ADS] [CrossRef] [Google Scholar]
  31. Foreman-Mackey, D., Hogg, D. W., Lang, D., & Goodman, J. 2013, PASP, 125, 306 [Google Scholar]
  32. Frank, P., Leike, R., & Enßlin, T. A. 2021, Entropy, 23, 853 [NASA ADS] [CrossRef] [Google Scholar]
  33. Galan, A., Peel, A., Joseph, R., Courbin, F., & Starck, J. L. 2021, A&A, 647, A176 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  34. Galan, A., Vernardos, G., Peel, A., Courbin, F., & Starck, J. L. 2022, A&A, 668, A155 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  35. Galan, A., Van de Vyvere, L., Gomer, M., Vernardos, G., & Sluse, D. 2023, J. Open Source Softw., 8, 5567 [NASA ADS] [CrossRef] [Google Scholar]
  36. Galan, A., Caminha, G. B., Knollmüller, J., Roth, J., & Suyu, S. H. 2024, A&A, 689, A304 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  37. Garvin, E. O., Kruk, S., Cornen, C., et al. 2022, A&A, 667, A141 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  38. Gawade, P., More, A., More, S., et al. 2024, ArXiv e-prints [arXiv:2404.18897] [Google Scholar]
  39. Gentile, F., Tortora, C., Covone, G., et al. 2023, MNRAS, 522, 5442 [NASA ADS] [CrossRef] [Google Scholar]
  40. Gomer, M., & Williams, L. L. R. 2020, JCAP, 2020, 045 [CrossRef] [Google Scholar]
  41. Gomer, M. R., & Williams, L. L. R. 2021, MNRAS, 504, 1340 [NASA ADS] [CrossRef] [Google Scholar]
  42. Gomer, M. R., Sluse, D., Van de Vyvere, L., Birrer, S., & Courbin, F. 2022, A&A, 667, A86 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  43. Gu, A., Huang, X., Sheu, W., et al. 2022, ApJ, 935, 49 [NASA ADS] [CrossRef] [Google Scholar]
  44. Hessel, M., Budden, D., Viola, F., et al. 2020, The DeepMind JAX Ecosystem, http://github.com/google-deepmind [Google Scholar]
  45. Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [NASA ADS] [CrossRef] [Google Scholar]
  46. Joseph, R., Courbin, F., Starck, J. L., & Birrer, S. 2019, A&A, 623, A14 [EDP Sciences] [Google Scholar]
  47. Karchev, K., Coogan, A., & Weniger, C. 2022, MNRAS, submitted [arXiv:2105.09465] [Google Scholar]
  48. Kelly, P. L., Rodney, S., Treu, T., et al. 2023, Science, 380, abh1322 [NASA ADS] [CrossRef] [Google Scholar]
  49. Kennedy, J., & Eberhart, R. 2002, Proc. ICNN’95 - Int. Conf. Neural Networks, 4, 1942 [CrossRef] [Google Scholar]
  50. Khadka, N., Birrer, S., Leauthaud, A., & Nix, H. 2024, MNRAS, 533, 795 [CrossRef] [Google Scholar]
  51. Kluyver, T., Ragan-Kelley, B., Pérez, F., et al. 2016, Positioning and Power in Academic Publishing: Players, Agents and Agendas, 87 [Google Scholar]
  52. Knollmüller, J., & Enßlin, T. A. 2019, ArXiv e-prints [arXiv:1901.11033] [Google Scholar]
  53. Koopmans, L. V. E., Treu, T., Bolton, A. S., Burles, S., & Moustakas, L. A. 2006, ApJ, 649, 599 [Google Scholar]
  54. Krist, J. E., Hook, R. N., & Stoehr, F. 2011, Proc. SPIE, 8127, 81270J [Google Scholar]
  55. Lanusse, F., Starck, J. L., Leonard, A., & Pires, S. 2016, A&A, 591, A2 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  56. Lefor, A. T., & Futamase, T. 2015, ArXiv e-prints [arXiv:1505.00502] [Google Scholar]
  57. Lewis, A. 2019, ArXiv e-prints [arXiv:1910.13970] [Google Scholar]
  58. Limousin, M., Kneib, J. P., Bardeau, S., et al. 2007, A&A, 461, 881 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  59. Maresca, J., Dye, S., & Li, N. 2021, MNRAS, 503, 2229 [NASA ADS] [CrossRef] [Google Scholar]
  60. Meneghetti, M., Natarajan, P., Coe, D., et al. 2017, MNRAS, 472, 3177 [Google Scholar]
  61. Millon, M., Galan, A., Courbin, F., et al. 2020, A&A, 639, A101 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  62. Newton, E. R., Marshall, P. J., Treu, T., et al. 2011, ApJ, 734, 104 [NASA ADS] [CrossRef] [Google Scholar]
  63. Nightingale, J. W., & Dye, S. 2015, MNRAS, 452, 2940 [Google Scholar]
  64. Nightingale, J. W., Dye, S., & Massey, R. J. 2018, MNRAS, 478, 4738 [Google Scholar]
  65. Nightingale, J. W., Hayes, R. G., Kelly, A., et al. 2021, J. Open Source Softw., 6, 2825 [NASA ADS] [CrossRef] [Google Scholar]
  66. Nightingale, J. W., He, Q., Cao, X., et al. 2024, MNRAS, 527, 10480 [Google Scholar]
  67. Oguri, M. 2010, PASJ, 62, 1017 [NASA ADS] [Google Scholar]
  68. Oguri, M., & Marshall, P. J. 2010, MNRAS, 405, 2579 [NASA ADS] [Google Scholar]
  69. Oliphant, T. E. 2006, A Guide to NumPy (Trelgol Publishing USA) [Google Scholar]
  70. Pascale, M., Frye, B. L., Pierel, J. D. R., et al. 2024, ArXiv e-prints [arXiv:2403.18902] [Google Scholar]
  71. Pearson, J., Maresca, J., Li, N., & Dye, S. 2021, MNRAS, 505, 4362 [CrossRef] [Google Scholar]
  72. Peel, A., Lanusse, F., & Starck, J.-L. 2017, ApJ, 847, 23 [Google Scholar]
  73. Phan, D., Pradhan, N., & Jankowiak, M. 2019, ArXiv e-prints [arXiv:1912.11554] [Google Scholar]
  74. Powell, D. M., Vegetti, S., McKean, J. P., et al. 2022, MNRAS, 516, 1808 [NASA ADS] [CrossRef] [Google Scholar]
  75. Price-Whelan, A. M., Sipőcz, B. M., Günther, H. M., et al. 2018, AJ, 156, 123 [NASA ADS] [CrossRef] [Google Scholar]
  76. Rigby, J. R., Vieira, J. D., Phadke, K. A., et al. 2023, ArXiv e-prints [arXiv:2312.10465] [Google Scholar]
  77. Ruan, D., & Keeton, C. R. 2023, ArXiv e-prints [arXiv:2309.16529] [Google Scholar]
  78. Rüstig, J., Guardiani, M., Roth, J., Frank, P., & Enßlin, T. 2024, A&A, 682, A146 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  79. Saha, P., Sluse, D., Wagner, J., & Williams, L. L. R. 2024, Space Sci. Rev., 220, 12 [NASA ADS] [CrossRef] [Google Scholar]
  80. Schneider, P., & Sluse, D. 2013, A&A, 559, A37 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  81. Schneider, P., & Sluse, D. 2014, A&A, 564, A103 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  82. Schuldt, S., Suyu, S. H., Cañameras, R., et al. 2023a, A&A, 673, A33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  83. Schuldt, S., Cañameras, R., Shu, Y., et al. 2023b, A&A, 671, A147 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  84. Selig, M., Bell, M. R., Junklewitz, H., et al. 2013, A&A, 554, A26 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  85. Sengül, A. Ç., Dvorkin, C., Ostdiek, B., & Tsang, A. 2022, MNRAS, 515, 4391 [CrossRef] [Google Scholar]
  86. Shajib, A. J. 2024, IAU Symp., 381, 3 [NASA ADS] [Google Scholar]
  87. Shajib, A. J., Treu, T., Birrer, S., & Sonnenfeld, A. 2021, MNRAS, 503, 2380 [Google Scholar]
  88. Shajib, A. J., Wong, K. C., Birrer, S., et al. 2022, A&A, 667, A123 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  89. Sonnenfeld, A. 2018, MNRAS, 474, 4648 [Google Scholar]
  90. Stacey, H. R., Powell, D. M., Vegetti, S., et al. 2024, A&A, 688, A110 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  91. Starck, J.-L., Fadili, J., & Murtagh, F. 2007, IEEE Trans. Image Process., 16, 297 [Google Scholar]
  92. Steininger, T., Dixit, J., Frank, P., et al. 2019, Ann. Phys., 531, 1800290 [NASA ADS] [CrossRef] [Google Scholar]
  93. Suyu, S. H., & Halkola, A. 2010, A&A, 524, A94 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  94. Suyu, S. H., Marshall, P. J., Hobson, M. P., & Blandford, R. D. 2006, MNRAS, 371, 983 [Google Scholar]
  95. Suyu, S. H., Hensel, S. W., McKean, J. P., et al. 2012, ApJ, 750, 10 [Google Scholar]
  96. Suyu, S. H., Auger, M. W., Hilbert, S., et al. 2013, ApJ, 766, 70 [Google Scholar]
  97. Tagore, A. S., & Keeton, C. R. 2014, MNRAS, 445, 694 [NASA ADS] [CrossRef] [Google Scholar]
  98. Tan, C. Y., Shajib, A. J., Birrer, S., et al. 2024, MNRAS, 530, 1474 [NASA ADS] [CrossRef] [Google Scholar]
  99. Tessore, N., & Metcalf, R. B. 2015, A&A, 580, A79 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  100. Unruh, S., Schneider, P., & Sluse, D. 2017, A&A, 601, A77 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  101. Van Der Walt, S., Colbert, S. C., & Varoquaux, G. 2011, Comput. Sci. Eng., 13, 22 [Google Scholar]
  102. Van de Vyvere, L., Sluse, D., Gomer, M. R., & Mukherjee, S. 2022, A&A, 663, A179 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  103. Vegetti, S., & Koopmans, L. V. E. 2009, MNRAS, 392, 945 [Google Scholar]
  104. Vegetti, S., Czoske, O., & Koopmans, L. V. E. 2010, MNRAS, 407, 225 [CrossRef] [Google Scholar]
  105. Vegetti, S., Birrer, S., Despali, G., et al. 2023, ArXiv e-prints [arXiv:2306.11781] [Google Scholar]
  106. Vernardos, G. 2022, MNRAS, 511, 4417 [NASA ADS] [CrossRef] [Google Scholar]
  107. Vernardos, G., & Koopmans, L. V. E. 2022, MNRAS, submitted [arXiv:2202.09378] [Google Scholar]
  108. Virtanen, P., Gommers, R., Oliphant, T. E., et al. 2020, Nat. Meth., 17, 261 [Google Scholar]
  109. Wagner, J. 2018, A&A, 620, A86 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  110. Wagner, J. 2019, Universe, 5, 177 [NASA ADS] [CrossRef] [Google Scholar]
  111. Wagner, J., Liesenborgs, J., & Tessore, N. 2018, A&A, 612, A17 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  112. Wang, H., Cañameras, R., Caminha, G. B., et al. 2022, A&A, 668, A162 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  113. Warren, S. J., & Dye, S. 2003, ApJ, 590, 673 [Google Scholar]
  114. Wong, K. C., Suyu, S. H., Chen, G. C. F., et al. 2020, MNRAS, 498, 1420 [Google Scholar]
  115. Wong, K. C., Dux, F., Shajib, A. J., et al. 2024, A&A, 689, A168 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  116. Yang, L., Birrer, S., & Treu, T. 2020, MNRAS, 496, 2648 [NASA ADS] [CrossRef] [Google Scholar]
  117. Yıldırım, A., Suyu, S. H., Chen, G. C. F., & Komatsu, E. 2023, A&A, 675, A21 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  118. Zhuang, J., Tang, T., Ding, Y., et al. 2020, ArXiv e-prints [arXiv:2010.07468] [Google Scholar]

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