Open Access
Issue
A&A
Volume 694, February 2025
Article Number A35
Number of page(s) 10
Section Numerical methods and codes
DOI https://doi.org/10.1051/0004-6361/202449261
Published online 30 January 2025
  1. Acebron, A., Schuldt, S., Grillo, C., et al. 2023, A&A, 680, L9 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  2. Adam, A., Perreault-Levasseur, L., Hezaveh, Y., & Welling, M. 2023, ApJ, 951, 6 [NASA ADS] [CrossRef] [Google Scholar]
  3. Atek, H., Richard, J., Jauzac, M., et al. 2015, ApJ, 814, 69 [Google Scholar]
  4. Auger, M. W., Treu, T., Bolton, A. S., et al. 2010, ApJ, 724, 511 [NASA ADS] [CrossRef] [Google Scholar]
  5. Bergamini, P., Acebron, A., Grillo, C., et al. 2023, ApJ, 952, 84 [NASA ADS] [CrossRef] [Google Scholar]
  6. Biggio, L., Vernardos, G., Galan, A., & Peel, A. 2022, A&A, 675, A125 [Google Scholar]
  7. Birrer, S., & Amara, A. 2018, PDU, 22, 189 [Google Scholar]
  8. Birrer, S., Amara, A., & Refregier, A. 2015, ApJ, 813, 102 [Google Scholar]
  9. Birrer, S., Shajib, A., Gilman, D., et al. 2021, JOSS, 6, 3283 [NASA ADS] [CrossRef] [Google Scholar]
  10. Bradbury, J., Frostig, R., Hawkins, P., et al. 2018, JAX: composable transformations of Python+NumPy programs [Google Scholar]
  11. Bradley, L., Sipôcz, B., Robitaille, T., et al. 2023, https://doi.org/10.5281/zenodo.7946442 [Google Scholar]
  12. Brainerd, T. G., Blandford, R. D., & Smail, I. 1996, ApJ, 466, 623 [NASA ADS] [CrossRef] [Google Scholar]
  13. Caminha, G. B., Suyu, S. H., Grillo, C., & Rosati, P. 2022, A&A, 657, A83 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  14. Cerny, C., Sharon, K., Andrade-Santos, F., et al. 2018, ApJ, 859, 159 [Google Scholar]
  15. Chianese, M., Coogan, A., Hofma, P., Otten, S., & Weniger, C. 2020, MNRAS, 496, 381 [Google Scholar]
  16. Cikota, A., Bertolla, I. T., Huang, X., et al. 2023, ApJ, 953, L5 [NASA ADS] [CrossRef] [Google Scholar]
  17. Collett, T. E. 2015, ApJ, 811, 20 [NASA ADS] [CrossRef] [Google Scholar]
  18. Collett, T. E., & Auger, M. W. 2014, MNRAS, 443, 969 [NASA ADS] [CrossRef] [Google Scholar]
  19. Collett, T. E., Auger, M. W., Belokurov, V., Marshall, P. J., & Hall, A. C. 2012, MNRAS, 424, 2864 [NASA ADS] [CrossRef] [Google Scholar]
  20. Dalal, N., & Kochanek, C. S. 2002, ApJ, 572, 25 [Google Scholar]
  21. Del Moral, P., Doucet, A., & Jasra, A. 2012, Statist. Comput., 22, 1009 [CrossRef] [Google Scholar]
  22. Dey, A., Schlegel, D. J., Lang, D., et al. 2019, AJ, 157, 168 [Google Scholar]
  23. Dillon, J. V., Langmore, I., Tran, D., et al. 2017, arXiv e-prints [arXiv:1711.10604] [Google Scholar]
  24. Gu, A., Huang, X., Sheu, W., et al. 2022, ApJ, 935, 17 [NASA ADS] [CrossRef] [Google Scholar]
  25. Harvey, D., Courbin, F., Kneib, J. P., & McCarthy, I. G. 2017, MNRAS, 472, 1972 [CrossRef] [Google Scholar]
  26. Hezaveh, Y. D., Levasseur, L. P., & Marshall, P. J. 2017, Nature, 548, 555 [NASA ADS] [CrossRef] [Google Scholar]
  27. Horne, K. 1986, PASP, 98, 609 [Google Scholar]
  28. Huang, X., Storfer, C., Gu, A., et al. 2021, ApJ, 909, 27 [NASA ADS] [CrossRef] [Google Scholar]
  29. Jacobs, C., Collett, T., Glazebrook, K., et al. 2019, ApJS, 243, 17 [Google Scholar]
  30. Jauzac, M., Eckert, D., Schwinn, J., et al. 2016, MNRAS, 463, 3876 [NASA ADS] [CrossRef] [Google Scholar]
  31. Jullo, E., Kneib, J.-P., Limousin, M., et al. 2007, New J. Phys., 9, 447 [Google Scholar]
  32. Jullo, E., Natarajan, P., Kneib, J.-P., et al. 2010, Science, 329, 924 [CrossRef] [Google Scholar]
  33. Kelly, P. L., Rodney, S., Treu, T., et al. 2023, Science, 380, abh1322 [NASA ADS] [CrossRef] [Google Scholar]
  34. Knabel, S., Holwerda, B. W., Nightingale, J., et al. 2023, MNRAS, 520, 804 [NASA ADS] [CrossRef] [Google Scholar]
  35. Kochanek, C. S. 1991, ApJ, 373, 354 [CrossRef] [Google Scholar]
  36. Koopmans, L. V. E., Bolton, A., Treu, T., et al. 2009, ApJ, 703, L51 [NASA ADS] [CrossRef] [Google Scholar]
  37. Limousin, M., Kneib, J. P., & Natarajan, P. 2005, MNRAS, 356, 309 [NASA ADS] [CrossRef] [Google Scholar]
  38. Limousin, M., Ebeling, H., Richard, J., et al. 2012, A&A, 544, A71 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  39. Limousin, M., Beauchesne, B., & Jullo, E. 2022, A&A, 664, A90 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  40. Lotz, J. M., Koekemoer, A., Coe, D., et al. 2017, ApJ, 837, 97 [Google Scholar]
  41. Magro, D., Zarb Adami, K., DeMarco, A., Riggi, S., & Sciacca, E. 2021, MNRAS, 505, 6155 [NASA ADS] [CrossRef] [Google Scholar]
  42. Mahler, G., Jauzac, M., Richard, J., et al. 2023, ApJ, 945, 49 [CrossRef] [Google Scholar]
  43. Mellier, Y., Fort, B., & Kneib, J.-P. 1993, ApJ, 407, 33 [NASA ADS] [CrossRef] [Google Scholar]
  44. Meneghetti, M., Argazzi, R., Pace, F., et al. 2007, A&A, 461, 25 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  45. Merten, J., Coe, D., Dupke, R., et al. 2011, MNRAS, 417, 333 [NASA ADS] [CrossRef] [Google Scholar]
  46. Morningstar, W. R., Levasseur, L. P., Hezaveh, Y. D., et al. 2019, ApJ, 883, 14 [NASA ADS] [CrossRef] [Google Scholar]
  47. Newman, A. B., Treu, T., Ellis, R. S., & Sand, D. J. 2013, ApJ, 765, 25 [NASA ADS] [CrossRef] [Google Scholar]
  48. Nightingale, J. W., Dye, S., & Massey, R. J. 2018, MNRAS, 478, 4738 [Google Scholar]
  49. O’Donnell, J. H., Wilkinson, R. D., Diehl, H. T., et al. 2022, ApJS, 259, 27 [CrossRef] [Google Scholar]
  50. Oguri, M. 2006, MNRAS, 367, 1241 [NASA ADS] [CrossRef] [Google Scholar]
  51. Pascale, M., Frye, B. L., Pierel, J. D. R., et al. 2024, ApJ, accepted, [arXiv:2403.18902] [Google Scholar]
  52. Pearson, J., Li, N., & Dye, S. 2019, MNRAS, 488, 991 [Google Scholar]
  53. Pearson, J., Maresca, J., Li, N., & Dye, S. 2021, MNRAS, 505, 4362 [CrossRef] [Google Scholar]
  54. Refsdal, S. 1964, MNRAS, 128, 307 [NASA ADS] [CrossRef] [Google Scholar]
  55. Roche, C., McDonald, M., Borrow, J., et al. 2024, Open J. Astrophys., 7, 65 [Google Scholar]
  56. Rojas, K., Savary, E., Clément, B., et al. 2022, A&A, 668, A73 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  57. Schneider, D. P., Turner, E. L., Gunn, J. E., et al. 1988, AJ, 95, 1619 [NASA ADS] [CrossRef] [Google Scholar]
  58. Schneider, P., Ehlers, J., & Falco, E. E. 1992, Gravitational Lenses, Astronomy and Astrophysics Library (Berlin, Heidelberg: Springer) [Google Scholar]
  59. Schuldt, S., Suyu, S. H., Meinhardt, T., et al. 2021, A&A, 646, A126 [EDP Sciences] [Google Scholar]
  60. Schuldt, S., Cañameras, R., Shu, Y., et al. 2023, A&A, 671, A147 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  61. Sharma, D., Collett, T. E., & Linder, E. V. 2023, JCAP, 2023, 001 [CrossRef] [Google Scholar]
  62. Sharon, K., Bayliss, M. B., Dahle, H., et al. 2020, ApJS, 247, 12 [CrossRef] [Google Scholar]
  63. Shu, Y., Cañameras, R., Schuldt, S., et al. 2022, A&A, 662, A4 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  64. Skilling, J. 2004, in Bayesian Inference and Maximum Entropy Methods in Science and Engineering: 24th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, eds. R. Fischer, R. Preuss, & U. V. Toussaint, American Institute of Physics Conference Series, 735, 395 [NASA ADS] [Google Scholar]
  65. Stapelberg, S., Carrasco, M., & Maturi, M. 2019, MNRAS, 482, 1824 [CrossRef] [Google Scholar]
  66. Storfer, C., Huang, X., Gu, A., et al. 2024, ApJS, 274, 16 [NASA ADS] [CrossRef] [Google Scholar]
  67. van de Sande, J., Kriek, M., Franx, M., Bezanson, R., & van Dokkum, P. G. 2015, ApJ, 799, 125 [NASA ADS] [CrossRef] [Google Scholar]
  68. Vegetti, S., Birrer, S., Despali, G., et al. 2024, Space Sci. Rev., 220, 58 [CrossRef] [Google Scholar]
  69. Vernet, J., Dekker, H., D’Odorico, S., et al. 2011, A&A, 536, A105 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  70. Wong, K. C., Suyu, S. H., Chen, G. C. F., et al. 2020, MNRAS, 498, 1420 [Google Scholar]
  71. Zaborowski, E. A., Drlica-Wagner, A., Ashmead, F., et al. 2023, ApJ, 954, 68 [NASA ADS] [CrossRef] [Google Scholar]
  72. Zhou, R., Newman, J. A., Mao, Y.-Y., et al. 2021, MNRAS, 501, 3309 [NASA ADS] [CrossRef] [Google Scholar]
  73. Zitrin, A., Broadhurst, T., Bartelmann, M., et al. 2012, MNRAS, 423, 2308 [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.