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Home All issues Volume 666 (October 2022) A&A, 666 (2022) A1 References
Open Access
Issue
A&A
Volume 666, October 2022
Article Number A1
Number of page(s) 27
Section Cosmology (including clusters of galaxies)
DOI https://doi.org/10.1051/0004-6361/202142505
Published online 27 September 2022
  1. Aihara, H., Arimoto, N., Armstrong, R., et al. 2018, PASJ, 70, S4 [NASA ADS] [Google Scholar]
  2. Amiaux, J., Scaramella, R., Mellier, Y., et al. 2012, in Space Telescopes and Instrumentation 2012: Optical, Infrared, and Millimeter Wave, eds. M. C. Clampin, G. G. Fazio, H. A. MacEwen, J. Oschmann, & M. Jacobus, SPIE Conf. Ser., 8442, 84420Z [NASA ADS] [CrossRef] [Google Scholar]
  3. Auger, M. W., Treu, T., Bolton, A. S., et al. 2009, ApJ, 705, 1099 [Google Scholar]
  4. Axelsson, S. 2000, ACM Trans. Inf. Syst. Secur., 3, 186 [CrossRef] [Google Scholar]
  5. Bellagamba, F., Tessore, N., & Metcalf, R. B. 2017, MNRAS, 464, 4823 [NASA ADS] [CrossRef] [Google Scholar]
  6. Bertin, E. 2011, in Astronomical Data Analysis Software and Systems XX, eds. I. N. Evans, A. Accomazzi, D. J. Mink, & A. H. Rots, ASP Conf. Ser., 442, 435 [Google Scholar]
  7. Birrer, S., & Amara, A. 2018, Phys. Dark Univ., 22, 189 [Google Scholar]
  8. Birrer, S., Amara, A., & Refregier, A. 2015, ApJ, 813, 102 [Google Scholar]
  9. Bolton, A. S., Burles, S., Koopmans, L. V. E., Treu, T., & Moustakas, L. A. 2006, ApJ, 638, 703 [NASA ADS] [CrossRef] [Google Scholar]
  10. Bolton, A. S., Burles, S., Koopmans, L. V. E., et al. 2008, ApJ, 682, 964 [Google Scholar]
  11. Bonvin, V., Courbin, F., Suyu, S. H., et al. 2017, MNRAS, 465, 4914 [NASA ADS] [CrossRef] [Google Scholar]
  12. Browne, I. W. A., Wilkinson, P. N., Jackson, N. J. F., et al. 2003, MNRAS, 341, 13 [NASA ADS] [CrossRef] [Google Scholar]
  13. Brownstein, J. R., Bolton, A. S., Schlegel, D. J., et al. 2012, ApJ, 744, 41 [NASA ADS] [CrossRef] [Google Scholar]
  14. Bussmann, R. S., Pérez-Fournon, I., Amber, S., et al. 2013, ApJ, 779, 25 [NASA ADS] [CrossRef] [Google Scholar]
  15. Cañameras, R., Nesvadba, N. P. H., Guery, D., et al. 2015, A&A, 581, A105 [Google Scholar]
  16. Cañameras, R., Schuldt, S., Suyu, S. H., et al. 2020, A&A, 644, A163 [Google Scholar]
  17. Cabanac, R. A., Alard, C., Dantel-Fort, M., et al. 2007, A&A, 461, 813 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  18. Chan, J. H. H., Suyu, S. H., Chiueh, T., et al. 2015, ApJ, 807, 138 [NASA ADS] [CrossRef] [Google Scholar]
  19. Chan, J. H. H., Suyu, S. H., Sonnenfeld, A., et al. 2020, A&A, 636, A87 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  20. Chatterjee, S., & Koopmans, L. V. E. 2018, MNRAS, 474, 1762 [NASA ADS] [CrossRef] [Google Scholar]
  21. Chollet, F., et al. 2015, Keras, https://keras.io [Google Scholar]
  22. Collett, T. E. 2015, ApJ, 811, 20 [NASA ADS] [CrossRef] [Google Scholar]
  23. Comparat, J., Richard, J., Kneib, J.-P., et al. 2015, A&A, 575, A40 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  24. Dalal, N., & Kochanek, C. S. 2002, ApJ, 572, 25 [Google Scholar]
  25. Deng, J., Dong, W., Socher, R., et al. 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition, 248 [CrossRef] [Google Scholar]
  26. Despali, G., Giocoli, C., Angulo, R. E., et al. 2016, MNRAS, 456, 2486 [NASA ADS] [CrossRef] [Google Scholar]
  27. Dey, A., Schlegel, D. J., Lang, D., et al. 2019, AJ, 157, 168 [Google Scholar]
  28. Eisenstein, D. J., Annis, J., Gunn, J. E., et al. 2001, AJ, 122, 2267 [Google Scholar]
  29. Fantin, N. J., Côté, P., McConnachie, A. W., et al. 2019, ApJ, 887, 148 [NASA ADS] [CrossRef] [Google Scholar]
  30. Faure, C., Kneib, J.-P., Covone, G., et al. 2008, ApJS, 176, 19 [NASA ADS] [CrossRef] [Google Scholar]
  31. Foreman-Mackey, D., Hogg, D. W., Lang, D., & Goodman, J. 2013, PASP, 125, 306 [Google Scholar]
  32. Gavazzi, R., Treu, T., Marshall, P. J., Brault, F., & Ruff, A. 2012, ApJ, 761, 170 [Google Scholar]
  33. Gilman, D., Agnello, A., Treu, T., Keeton, C. R., & Nierenberg, A. M. 2017, MNRAS, 467, 3970 [NASA ADS] [Google Scholar]
  34. Goodman, J., & Weare, J. 2010, Commun. Appl. Math. Comput. Sci., 5, 65 [Google Scholar]
  35. Gwyn, S. D. J. 2008, PASP, 120, 212 [Google Scholar]
  36. Hasinger, G., Capak, P., Salvato, M., et al. 2018, ApJ, 858, 77 [Google Scholar]
  37. He, K., Zhang, X., Ren, S., & Sun, J. 2015, ArXiv e-prints [arXiv:1502.01852] [Google Scholar]
  38. Hezaveh, Y. D., Dalal, N., Marrone, D. P., et al. 2016, ApJ, 823, 37 [Google Scholar]
  39. Huang, X., Storfer, C., Ravi, V., et al. 2020, ApJ, 894, 78 [NASA ADS] [CrossRef] [Google Scholar]
  40. Huang, X., Storfer, C., Gu, A., et al. 2021, ApJ, 909, 27 [NASA ADS] [CrossRef] [Google Scholar]
  41. Ibata, R. A., McConnachie, A., Cuillandre, J.-C., et al. 2017, ApJ, 848, 128 [Google Scholar]
  42. Inada, N., Oguri, M., Shin, M.-S., et al. 2009, AJ, 137, 4118 [NASA ADS] [CrossRef] [Google Scholar]
  43. Ivezić, Ž., Kahn, S. M., Tyson, J. A., et al. 2019, ApJ, 873, 111 [Google Scholar]
  44. Jacobs, C., Collett, T., Glazebrook, K., et al. 2019a, ApJS, 243, 17 [Google Scholar]
  45. Jacobs, C., Collett, T., Glazebrook, K., et al. 2019b, MNRAS, 484, 5330 [NASA ADS] [CrossRef] [Google Scholar]
  46. Jaelani, A. T., More, A., Sonnenfeld, A., et al. 2020, MNRAS, 494, 3156 [NASA ADS] [CrossRef] [Google Scholar]
  47. Jaelani, A. T., Rusu, C. E., Kayo, I., et al. 2021, MNRAS, 502, 1487 [NASA ADS] [CrossRef] [Google Scholar]
  48. Joseph, R., Courbin, F., & Starck, J. L. 2016, A&A, 589, A2 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  49. Kassiola, A., & Kovner, I. 1993, ApJ, 417, 450 [Google Scholar]
  50. Kelvin, L. S., Driver, S. P., Robotham, A. S. G., et al. 2012, MNRAS, 421, 1007 [Google Scholar]
  51. Kennedy, J., & Eberhart, R. 1995, Proceedings of ICNN’95 – International Conference on Neural Networks, 4, 1942 [CrossRef] [Google Scholar]
  52. Kingma, D. P., & Ba, J. 2014, ArXiv e-prints [arXiv:1412.6980] [Google Scholar]
  53. Koopmans, L. V. E. 2005, MNRAS, 363, 1136 [NASA ADS] [CrossRef] [Google Scholar]
  54. Koopmans, L. V. E., & Treu, T. 2003, ApJ, 583, 606 [NASA ADS] [CrossRef] [Google Scholar]
  55. Kormann, R., Schneider, P., & Bartelmann, M. 1994, A&A, 284, 285 [NASA ADS] [Google Scholar]
  56. Kuijken, K., Heymans, C., Dvornik, A., et al. 2019, A&A, 625, A2 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  57. Laigle, C., McCracken, H. J., Ilbert, O., et al. 2016, ApJS, 224, 24 [Google Scholar]
  58. Lanusse, F., Mandelbaum, R., Ravanbakhsh, S., et al. 2021, MNRAS, 504, 5543 [CrossRef] [Google Scholar]
  59. Laureijs, R., Amiaux, J., Arduini, S., et al. 2011, ArXiv e-prints [arXiv:1110.3193] [Google Scholar]
  60. Le Fèvre, O., Tasca, L. A. M., Cassata, P., et al. 2015, A&A, 576, A79 [Google Scholar]
  61. Lecun, Y., Bengio, Y., & Hinton, G. 2015, Nature, 521, 436 [CrossRef] [PubMed] [Google Scholar]
  62. Lilly, S. J., Le Fèvre, O., Renzini, A., et al. 2007, ApJS, 172, 70 [Google Scholar]
  63. Mao, S., & Schneider, P. 1998, MNRAS, 295, 587 [CrossRef] [Google Scholar]
  64. Marshall, P. J., Hogg, D. W., Moustakas, L. A., et al. 2009, ApJ, 694, 924 [NASA ADS] [CrossRef] [Google Scholar]
  65. Melchior, P., Moolekamp, F., Jerdee, M., et al. 2018, Astron. Comput., 24, 129 [Google Scholar]
  66. Metcalf, R. B., Meneghetti, M., Avestruz, C., et al. 2019, A&A, 625, A119 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  67. Mukherjee, S., Koopmans, L. V. E., Metcalf, R. B., et al. 2021, MNRAS, 504, 3455 [NASA ADS] [CrossRef] [Google Scholar]
  68. Myers, S. T., Jackson, N. J., Browne, I. W. A., et al. 2003, MNRAS, 341, 1 [Google Scholar]
  69. Nayyeri, H., Keele, M., Cooray, A., et al. 2016, ApJ, 823, 17 [NASA ADS] [CrossRef] [Google Scholar]
  70. Negrello, M., Amber, S., Amvrosiadis, A., et al. 2017, MNRAS, 465, 3558 [NASA ADS] [CrossRef] [Google Scholar]
  71. Nierenberg, A. M., Oldenburg, D., & Treu, T. 2013, MNRAS, 436, 2120 [NASA ADS] [CrossRef] [Google Scholar]
  72. Nightingale, J. W., Dye, S., & Massey, R. J. 2018, MNRAS, 478, 4738 [Google Scholar]
  73. Ochsenbein, F., Bauer, P., & Marcout, J. 2000, A&AS, 143, 23 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  74. Oguri, M., Inada, N., Pindor, B., et al. 2006, AJ, 132, 999 [Google Scholar]
  75. Paraficz, D., Rybak, M., McKean, J. P., et al. 2018, A&A, 613, A34 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  76. Pawase, R. S., Courbin, F., Faure, C., Kokotanekova, R., & Meylan, G. 2014, MNRAS, 439, 3392 [NASA ADS] [CrossRef] [Google Scholar]
  77. Peirani, S., Sonnenfeld, A., Gavazzi, R., et al. 2019, MNRAS, 483, 4615 [NASA ADS] [CrossRef] [Google Scholar]
  78. Petrillo, C. E., Tortora, C., Chatterjee, S., et al. 2017, MNRAS, 472, 1129 [Google Scholar]
  79. Petrillo, C. E., Tortora, C., Chatterjee, S., et al. 2019, MNRAS, 482, 807 [NASA ADS] [Google Scholar]
  80. Pourrahmani, M., Nayyeri, H., & Cooray, A. 2018, ApJ, 856, 68 [NASA ADS] [CrossRef] [Google Scholar]
  81. Ritondale, E., Vegetti, S., Despali, G., et al. 2019, MNRAS, 485, 2179 [Google Scholar]
  82. Rojas, K., Savary, E., Clément, B., et al. 2021, ArXiv e-prints [arXiv:2109.00014] [Google Scholar]
  83. Rowe, B. T. P., Jarvis, M., Mandelbaum, R., et al. 2015, Astron. Comput., 10, 121 [Google Scholar]
  84. Schuldt, S., Suyu, S. H., Meinhardt, T., et al. 2021, A&A, 646, A126 [EDP Sciences] [Google Scholar]
  85. Shajib, A. J., Treu, T., Birrer, S., & Sonnenfeld, A. 2020, MNRAS, 503, 2380 [Google Scholar]
  86. Shu, Y., Bolton, A. S., Brownstein, J. R., et al. 2015, ApJ, 803, 71 [NASA ADS] [CrossRef] [Google Scholar]
  87. Silverman, J. D., Kashino, D., Sanders, D., et al. 2015, ApJS, 220, 12 [NASA ADS] [CrossRef] [Google Scholar]
  88. Sonnenfeld, A., Treu, T., Marshall, P. J., et al. 2015, ApJ, 800, 94 [Google Scholar]
  89. Sonnenfeld, A., Chan, J. H. H., Shu, Y., et al. 2018, PASJ, 70, S29 [Google Scholar]
  90. Sonnenfeld, A., Jaelani, A. T., Chan, J., et al. 2019, A&A, 630, A71 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  91. Sonnenfeld, A., Verma, A., More, A., et al. 2020, A&A, 642, A148 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  92. Spergel, D., Gehrels, N., Baltay, C., et al. 2015, ArXiv e-prints [arXiv:1503.03757] [Google Scholar]
  93. Suyu, S. H., & Halkola, A. 2010, A&A, 524, A94 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  94. Suyu, S. H., Hensel, S. W., McKean, J. P., et al. 2012, ApJ, 750, 10 [Google Scholar]
  95. Suyu, S. H., Bonvin, V., Courbin, F., et al. 2017, MNRAS, 468, 2590 [Google Scholar]
  96. Talbot, M. S., Brownstein, J. R., Dawson, K. S., Kneib, J.-P., & Bautista, J. 2021, MNRAS, 502, 4617 [NASA ADS] [CrossRef] [Google Scholar]
  97. Tan, M., & Le, Q. V. 2019, ArXiv e-prints [arXiv:1905.11946] [Google Scholar]
  98. Tasca, L. A. M., Le Fèvre, O., Ribeiro, B., et al. 2017, A&A, 600, A110 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  99. The Dark Energy Survey Collaboration 2005, ArXiv e-prints [arXiv:astro-ph/0510346] [Google Scholar]
  100. Turner, E. L., Ostriker, J. P., & Gott, J. R., III 1984, ApJ, 284, 1 [NASA ADS] [CrossRef] [Google Scholar]
  101. Vegetti, S., & Koopmans, L. V. E. 2009, MNRAS, 392, 945 [Google Scholar]
  102. Vegetti, S., Koopmans, L. V. E., Bolton, A., Treu, T., & Gavazzi, R. 2010, MNRAS, 408, 1969 [Google Scholar]
  103. Vegetti, S., Lagattuta, D. J., McKean, J. P., et al. 2012, Nature, 481, 341 [NASA ADS] [CrossRef] [Google Scholar]
  104. Vegetti, S., Koopmans, L. V. E., Auger, M. W., Treu, T., & Bolton, A. S. 2014, MNRAS, 442, 2017 [NASA ADS] [CrossRef] [Google Scholar]
  105. Vegetti, S., Despali, G., Lovell, M. R., & Enzi, W. 2018, MNRAS, 481, 3661 [NASA ADS] [CrossRef] [Google Scholar]
  106. Vieira, J. D., Crawford, T. M., Switzer, E. R., et al. 2010, ApJ, 719, 763 [NASA ADS] [CrossRef] [Google Scholar]
  107. Vieira, J. D., Marrone, D. P., Chapman, S. C., et al. 2013, Nature, 495, 344 [Google Scholar]
  108. Wardlow, J. L., Cooray, A., De Bernardis, F., et al. 2013, ApJ, 762, 59 [NASA ADS] [CrossRef] [Google Scholar]
  109. Wenger, M., Ochsenbein, F., Egret, D., et al. 2000, A&AS, 143, 9 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  110. Willett, K. W., Galloway, M. A., Bamford, S. P., et al. 2017, MNRAS, 464, 4176 [NASA ADS] [CrossRef] [Google Scholar]
  111. Wong, K. C., Sonnenfeld, A., Chan, J. H. H., et al. 2018, ApJ, 867, 107 [Google Scholar]
  112. Wong, K. C., Suyu, S. H., Chen, G. C. F., et al. 2020, MNRAS, 498, 1420 [Google Scholar]

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