EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues Volume 702 (October 2025) A&A, 702 (2025) A130 References
Open Access
Issue
A&A
Volume 702, October 2025
Article Number A130
Number of page(s) 18
Section Astrophysical processes
DOI https://doi.org/10.1051/0004-6361/202554132
Published online 29 October 2025
  1. Andika, I. T., Suyu, S. H., Cañameras, R., et al. 2023, A&A, 678, A103 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  2. Astropy Collaboration (Robitaille, T. P., et al.) 2013, A&A, 558, A33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  3. Astropy Collaboration (Price-Whelan, A. M., et al.) 2018, AJ, 156, 123 [Google Scholar]
  4. Astropy Collaboration (Price-Whelan, A. M., et al.) 2022, ApJ, 935, 167 [NASA ADS] [CrossRef] [Google Scholar]
  5. Atek, H., Gavazzi, R., Weaver, J., et al. 2025, A&A, 697, A15 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  6. Barnabè, M., Spiniello, C., Koopmans, L. V. E., et al. 2013, MNRAS, 436, 253 [Google Scholar]
  7. Barroso, J. A., O’riordan, C., Clément, B., et al. 2025, A&A, 697, A14 [Google Scholar]
  8. Biesiada, M. 2006, Phys. Rev. D, 73, 023006 [Google Scholar]
  9. Birrer, S., & Amara, A. 2018, Phys. Dark Universe, 22, 189 [NASA ADS] [CrossRef] [Google Scholar]
  10. Birrer, S., Millon, M., Sluse, D., et al. 2024, Space Sci. Rev., 220, 48 [NASA ADS] [CrossRef] [Google Scholar]
  11. Broadhurst, T. J., Taylor, A. N., & Peacock, J. A. 1995, ApJ, 438, 49 [Google Scholar]
  12. Cañameras, R., Schuldt, S., Suyu, S., et al. 2020, A&A, 644, A163 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  13. Christ, C., Nord, B., Gozman, K., & Ottenbreit, K. 2020, AAS, 235, 303 [Google Scholar]
  14. Collett, T. E. 2015, ApJ, 811, 20 [NASA ADS] [CrossRef] [Google Scholar]
  15. Cropper, M., Pottinger, S., Niemi, S., et al. 2016, in SPIE 2016: Optical, Infrared, and Millimeter Wave (SPIE), 9904, 269 [Google Scholar]
  16. Cuillandre, J.-C., Bertin, E., Bolzonella, M., et al. 2025a, A&A, 697, A6 [Google Scholar]
  17. Cuillandre, J.-C., Bolzonella, M., Boselli, A., et al. 2025b, A&A, 697, A11 [Google Scholar]
  18. Davies, A., Serjeant, S., & Bromley, J. M. 2019, MNRAS, 487, 5263 [NASA ADS] [CrossRef] [Google Scholar]
  19. de Jong, J. T., Verdoes Kleijn, G. A., Kuijken, K. H., et al. 2013, Exp. Astron., 35, 25 [NASA ADS] [CrossRef] [Google Scholar]
  20. Despali, G., Vegetti, S., White, S. D. M., Giocoli, C., & van den Bosch, F. C. 2018, MNRAS, 475, 5424 [NASA ADS] [CrossRef] [Google Scholar]
  21. Euclid Collaboration (Scaramella, R., et al.) 2022, A&A, 662, A112 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  22. Euclid Collaboration (Cropper, M., et al.) 2025, A&A, 697, A2 [Google Scholar]
  23. Euclid Collaboration (Jahnke, K., et al.) 2025, A&A, 697, A3 [Google Scholar]
  24. Euclid Collaboration (Mellier, Y., et al.) 2025, A&A, 697, A1 [Google Scholar]
  25. Euclid Collaboration (Rojas, K., et al.) 2025, A&A, in press, https://doi.org/10.1051/0004-6361/202554605 [Google Scholar]
  26. Euclid Early Release Observations 2024, https://doi.org/10.57780/esa-qmocze3 [Google Scholar]
  27. Gavazzi, R., Treu, T., Koopmans, L. V. E., et al. 2008, ApJ, 677, 1046 [NASA ADS] [CrossRef] [Google Scholar]
  28. Gavazzi, R., Treu, T., Rhodes, J. D., et al. 2007, ApJ, 667, 176 [Google Scholar]
  29. Gentile, F., Tortora, C., Covone, G., et al. 2021, MNRAS, 510, 500 [NASA ADS] [CrossRef] [Google Scholar]
  30. Gilman, D., Du, X., Benson, A., et al. 2019, MNRAS, 492, L12 [Google Scholar]
  31. Grillo, C., Rosati, P., Suyu, S. H., et al. 2018, ApJ, 860, 94 [Google Scholar]
  32. Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357 [NASA ADS] [CrossRef] [Google Scholar]
  33. He, K., Gkioxari, G., Dollár, P., & Girshick, R. 2017, in Proceedings of the IEEE International Conference on Computer Vision, 2961 [Google Scholar]
  34. He, Q., Li, H., Li, R., et al. 2020, MNRAS, 496, 4717 [Google Scholar]
  35. He, Q., Nightingale, J. W., Amvrosiadis, A., et al. 2024, MNRAS, 532, 2441 [Google Scholar]
  36. Hezaveh, Y. D., Dalal, N., Marrone, D. P., et al. 2016, ApJ, 823, 37 [Google Scholar]
  37. Hunt, L., Annibali, F., Cuillandre, J.-C., et al. 2025, A&A, 697, A9 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  38. Hunter, J. D. 2007, CiSE, 9, 90 [Google Scholar]
  39. Jacobs, C., Glazebrook, K., Collett, T., More, A., & McCarthy, C. 2017, MNRAS, 471, 167 [Google Scholar]
  40. Jacobs, C., Collett, T., Glazebrook, K., et al. 2019, MNRAS, 484, 5330 [NASA ADS] [CrossRef] [Google Scholar]
  41. Kingma, D. P., & Ba, J. 2015, in 3rd ICLR 2015, San Diego, CA, USA, May 7–9, 2015, Conference Track Proceedings, eds. Y. Bengio, & Y. LeCun [Google Scholar]
  42. Kluge, M., Hatch, N., Montes, M., et al. 2025, A&A, 697, A13 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  43. Kochanek, C. S., & Schechter, P. L. 2003, COAS, 2, 211 [Google Scholar]
  44. Koonce, B. 2021, in Convolutional Neural Networks with Swift for Tensorflow: Image Recognition and Dataset Categorization (Springer), 63 [Google Scholar]
  45. Koopmans, L. V. E. 2004, arXiv e-prints [arXiv:astro-ph/0412596] [Google Scholar]
  46. Koopmans, L. V. E., Bolton, A., Treu, T., et al. 2009, ApJ, 703, L51 [NASA ADS] [CrossRef] [Google Scholar]
  47. Lanusse, F., Ma, Q., Li, N., et al. 2018, MNRAS, 473, 3895 [Google Scholar]
  48. Leier, D., Ferreras, I., Saha, P., et al. 2016, MNRAS, 459, 3677 [NASA ADS] [CrossRef] [Google Scholar]
  49. Li, R., Frenk, C. S., Cole, S., et al. 2016, MNRAS, 460, 363 [NASA ADS] [CrossRef] [Google Scholar]
  50. Li, R., Frenk, C. S., Cole, S., Wang, Q., & Gao, L. 2017, MNRAS, 468, 1426 [NASA ADS] [CrossRef] [Google Scholar]
  51. Li, R., Shu, Y., & Wang, J. 2018, MNRAS, 480, 431 [NASA ADS] [CrossRef] [Google Scholar]
  52. Li, R., Napolitano, N. R., Tortora, C., et al. 2020, ApJ, 899, 30 [Google Scholar]
  53. Li, R., Napolitano, N., Spiniello, C., et al. 2021, ApJ, 923, 16 [NASA ADS] [CrossRef] [Google Scholar]
  54. Limousin, M., Kneib, J.-P., & Natarajan, P. 2005, MNRAS, 356, 309 [Google Scholar]
  55. Lintott, C. J., Schawinski, K., Slosar, A., et al. 2008, MNRAS, 389, 1179 [NASA ADS] [CrossRef] [Google Scholar]
  56. Manjón-García, A. 2021, Ph.D. Thesis, University of Cantabria, Spain [Google Scholar]
  57. Marleau, F., Cuillandre, J.-C., Cantiello, M., et al. 2025, A&A, 697, A12 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  58. Marshall, P. J., Hogg, D. W., Moustakas, L. A., et al. 2009, ApJ, 694, L924 [Google Scholar]
  59. Martín, E., Žerjal, M., Bouy, H., et al. 2025, A&A, 697, A7 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  60. Massari, D., Dalessandro, E., Erkal, D., et al. 2025, A&A, 697, A8 [Google Scholar]
  61. McKinney, W., et al. 2011, PyHPC, 14, 1 [Google Scholar]
  62. Meneghetti, M., Bartelmann, M., Dolag, K., et al. 2005, A&A, 442, 413 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  63. Metcalf, R. B., Meneghetti, M., Avestruz, C., et al. 2019, A&A, 625, A119 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  64. Nadler, E. O., Birrer, S., Gilman, D., et al. 2021, ApJ, 917, 7 [NASA ADS] [CrossRef] [Google Scholar]
  65. Nagam, B. C., Koopmans, L. V. E., Valentijn, E. A., et al. 2023, MNRAS, 523, 4188 [NASA ADS] [CrossRef] [Google Scholar]
  66. Nagam, B. C., Koopmans, L. V. E., Valentijn, E. A., et al. 2024, MNRAS, 533, 1426 [Google Scholar]
  67. Nightingale, J. W., Dye, S., & Massey, R. J. 2018, MNRAS, 478, 4738 [Google Scholar]
  68. Nightingale, J. W., Massey, R. J., Harvey, D. R., et al. 2019, MNRAS, 489, 2049 [NASA ADS] [Google Scholar]
  69. Nightingale, J., Hayes, R., Kelly, A., et al. 2021, J. Open Source Softw., 6, 2825 [NASA ADS] [CrossRef] [Google Scholar]
  70. Oguri, M., Inada, N., Strauss, M. A., et al. 2008, AJ, 135, 512 [NASA ADS] [CrossRef] [Google Scholar]
  71. Oke, J., & Gunn, J. 1982, PASP, 94, 586 [Google Scholar]
  72. O’Riordan, C. M., Despali, G., Vegetti, S., Lovell, M. R., & Moliné, Á. 2023, MNRAS, 521, 2342 [CrossRef] [Google Scholar]
  73. Pearce-Casey, R., Nagam, B. C., Clement, B., & Tortora, C. 2025, A&A, 696, A214 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  74. Petrillo, C. E., Tortora, C., Chatterjee, S., et al. 2017, MNRAS, 472, 1129 [Google Scholar]
  75. Petrillo, C. E., Tortora, C., Chatterjee, S., et al. 2019a, MNRAS, 482, 807 [NASA ADS] [Google Scholar]
  76. Petrillo, C. E., Tortora, C., Vernardos, G., et al. 2019b, MNRAS, 484, 3879 [Google Scholar]
  77. Pourrahmani, M., Nayyeri, H., & Cooray, A. 2018, ApJ, 856, 68 [NASA ADS] [CrossRef] [Google Scholar]
  78. Rezaei, S., McKean, J. P., Biehl, M., de Roo, W., & Lafontaine, A. 2022, MNRAS, 517, 1156 [NASA ADS] [CrossRef] [Google Scholar]
  79. Rhee, G. 1991, Nature, 350, 211 [Google Scholar]
  80. Rojas, K., Savary, E., Clément, B., et al. 2022, A&A, 668, A73 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  81. Ronneberger, O., Fischer, P., & Brox, T. 2015, in MICCAI (Springer), 234 [Google Scholar]
  82. Saifollahi, T., Voggel, K., Lançon, A., et al. 2025, A&A, 697, A10 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  83. Sarbu, N., Rusin, D., & Ma, C.-P. 2001, ApJ, 561, L147 [Google Scholar]
  84. Savary, E., Rojas, K., Maus, M., et al. 2022, A&A, 666, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  85. Schaefer, C., Geiger, M., Kuntzer, T., & Kneib, J.-P. 2018, A&A, 611, A2 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  86. Şengül, A. Ç., & Dvorkin, C. 2022, MNRAS, 516, 336 [CrossRef] [Google Scholar]
  87. Sereno, M. 2002, A&A, 393, 757 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  88. Shajib, A. J., Mozumdar, P., Chen, G. C.-F., et al. 2023, A&A, 673, A9 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  89. Shiralilou, B., Martinelli, M., Papadomanolakis, G., et al. 2020, JCAP, 04, 057 [Google Scholar]
  90. Shlivko, D., & Steinhardt, P. J. 2024, Phys. Lett. B, 855, 138826 [Google Scholar]
  91. Spiniello, C., Barnabè, M., Koopmans, L. V. E., & Trager, S. C. 2015, MNRAS, 452, L21 [Google Scholar]
  92. Stern, D., Jimenez, R., Verde, L., Kamionkowski, M., & Stanford, S. A. 2010, JCAP, 02, 008 [CrossRef] [Google Scholar]
  93. Tan, M., & Le, Q. 2021, in Proceedings of the 38th International Conference on Machine Learning, eds. M. Meila, & T. Zhang (PMLR), PMLR, 139, 10096 [Google Scholar]
  94. Tortora, C., Napolitano, N. R., Romanowsky, A. J., & Jetzer, P. 2010, ApJ, 721, L1 [NASA ADS] [CrossRef] [Google Scholar]
  95. Treu, T., & Koopmans, L. V. E. 2002, ApJ, 575, 87 [NASA ADS] [CrossRef] [Google Scholar]
  96. Treu, T., Auger, M. W., Koopmans, L. V. E., et al. 2010, ApJ, 709, 1195 [Google Scholar]
  97. Treu, T., Suyu, S. H., & Marshall, P. J. 2022, A&AR, 30, 8 [Google Scholar]
  98. Turyshev, S. G., & Toth, V. T. 2022, MNRAS, 513, 5355 [Google Scholar]
  99. van den Oord, A., Li, Y., & Vinyals, O. 2018, arXiv e-prints [arXiv:1807.03748] [Google Scholar]
  100. Vegetti, S., & Vogelsberger, M. 2014, MNRAS, 442, 3598 [NASA ADS] [CrossRef] [Google Scholar]
  101. Vegetti, S., Birrer, S., Despali, G., et al. 2024, Space Sci. Rev., 220, 58 [CrossRef] [Google Scholar]
  102. Walmsley, M., Allen, C., Aussel, B., et al. 2023, J. Open Source Softw., 8, 5312 [NASA ADS] [CrossRef] [Google Scholar]
  103. Walmsley, M., Holloway, P., Lines, N., et al. 2025, A&A, submitted [arXiv:2503.15324] [Google Scholar]
  104. Weaver, J., Taamoli, S., McPartland, C., et al. 2025, A&A, 697, A16 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  105. Wilde, J. W. 2023, Ph.D. Thesis, The Open University [Google Scholar]
  106. Wilde, J., Serjeant, S., Bromley, J. M., et al. 2022, MNRAS, 512, 3464 [Google Scholar]
  107. Zhang, T.-J. 2004, ApJ, 602, L5 [Google Scholar]
  108. Zitrin, A., Rosati, P., Nonino, M., et al. 2012, ApJ, 749, 97 [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.