Free Access
Issue
A&A
Volume 647, March 2021
Article Number A176
Number of page(s) 21
Section Numerical methods and codes
DOI https://doi.org/10.1051/0004-6361/202039363
Published online 31 March 2021
  1. Alsing, J., Charnock, T., Feeney, S., & Wand elt, B. 2019, MNRAS, 488, 4440 [NASA ADS] [CrossRef] [Google Scholar]
  2. Amara, A., Metcalf, R. B., Cox, T. J., & Ostriker, J. P. 2006, MNRAS, 367, 1367 [NASA ADS] [CrossRef] [Google Scholar]
  3. Astropy Collaboration (Robitaille, T. P., et al.) 2013, A&A, 558, A33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  4. Astropy Collaboration (Price-Whelan, A. M., et al.) 2018, AJ, 156, 123 [Google Scholar]
  5. Auger, M. W., Treu, T., Bolton, A. S., et al. 2010, ApJ, 724, 511 [Google Scholar]
  6. Auger, M. W., Treu, T., Brewer, B. J., & Marshall, P. J. 2011, MNRAS, 411, L6 [CrossRef] [Google Scholar]
  7. Bernstein, G. M., & Jarvis, M. 2002, AJ, 123, 583 [Google Scholar]
  8. Bhattacharya, S., Habib, S., Heitmann, K., & Vikhlinin, A. 2013, ApJ, 766, 32 [NASA ADS] [CrossRef] [Google Scholar]
  9. Birrer, S., & Amara, A. 2018, Phys. Dark Univ., 22, 189 [NASA ADS] [CrossRef] [Google Scholar]
  10. Birrer, S., Amara, A., & Refregier, A. 2015, ApJ, 813, 102 [NASA ADS] [CrossRef] [Google Scholar]
  11. Birrer, S., Amara, A., & Refregier, A. 2017, J. Cosmol. Astropart. Phys., 2017, 037 [Google Scholar]
  12. Birrer, S., Treu, T., Rusu, C. E., et al. 2019, MNRAS, 484, 4726 [NASA ADS] [CrossRef] [Google Scholar]
  13. Birrer, S., Shajib, A. J., Galan, A., et al. 2020, A&A, 643, A165 [CrossRef] [EDP Sciences] [Google Scholar]
  14. Blum, K., Castorina, E., & Simonović, M. 2020, ApJ, 892, L27 [CrossRef] [Google Scholar]
  15. Bobin, J., Moudden, Y., Starck, J. L., Fadili, J., & Aghanim, N. 2008, Stat. Method., 5, 307 [Google Scholar]
  16. Bolton, A. S., Burles, S., Koopmans, L. V. E., Treu, T., & Moustakas, L. A. 2006, ApJ, 638, 703 [Google Scholar]
  17. Brewer, B. J., & Lewis, G. F. 2006, ApJ, 651, 8 [Google Scholar]
  18. Brownstein, J. R., Bolton, A. S., Schlegel, D. J., et al. 2012, ApJ, 744, 41 [Google Scholar]
  19. Candes, E. J., Wakin, M. B., & Boyd, S. P. 2007, ArXiv e-prints [arXiv:0711.1612] [Google Scholar]
  20. Chianese, M., Coogan, A., Hofma, P., Otten, S., & Weniger, C. 2020, MNRAS, 496, 381 [Google Scholar]
  21. Combettes, P. L., & Wajs, V. R. 2005, Multiscale Modeling & Simulation, 4, 1168 [Google Scholar]
  22. Cong Vu, B. 2011, ArXiv e-prints [arXiv:1110.1697] [Google Scholar]
  23. Davies, R., Schubert, J., Hartl, M., et al. 2016, Ground-based and Airborne Instrumentation for Astronomy VI [Google Scholar]
  24. Deep, A., Fiorentino, G., Tolstoy, E., et al. 2011, A&A, 531, A151 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  25. Ding, X., Treu, T., Shajib, A. J., et al. 2018, ArXiv e-prints [arXiv:1801.01506] [Google Scholar]
  26. Ding, X., Treu, T., Birrer, S., et al. 2020, MNRAS, 503, 1096 [Google Scholar]
  27. Ding, X., Treu, T., Birrer, S., et al. 2021, MNRAS, 501, 269 [Google Scholar]
  28. Diolaiti, E. 2010, The Messenger, 140, 28 [NASA ADS] [Google Scholar]
  29. Dye, S., & Warren, S. J. 2005, ApJ, 623, 31 [Google Scholar]
  30. Dye, S., Evans, N. W., Belokurov, V., Warren, S. J., & Hewett, P. 2008, MNRAS, 388, 384 [NASA ADS] [CrossRef] [Google Scholar]
  31. Farrens, S., Grigis, A., El Gueddari, L., et al. 2020, Astron. Comput., 32, 100402 [Google Scholar]
  32. Gavazzi, R., Treu, T., Rhodes, J. D., et al. 2007, ApJ, 667, 176 [NASA ADS] [CrossRef] [Google Scholar]
  33. Gavazzi, R., Treu, T., Marshall, P. J., Brault, F., & Ruff, A. 2012, ApJ, 761, 170 [NASA ADS] [CrossRef] [Google Scholar]
  34. Gilman, D., Birrer, S., & Treu, T. 2020, A&A, 642, A194 [CrossRef] [EDP Sciences] [Google Scholar]
  35. Han, J., Eke, V. R., Frenk, C. S., et al. 2015, MNRAS, 446, 1356 [NASA ADS] [CrossRef] [Google Scholar]
  36. Hezaveh, Y. D., Dalal, N., Marrone, D. P., et al. 2016, ApJ, 823, 37 [NASA ADS] [CrossRef] [Google Scholar]
  37. Hezaveh, Y. D., Perreault Levasseur, L., & Marshall, P. J. 2017, Nature, 548, 555 [NASA ADS] [CrossRef] [Google Scholar]
  38. Högbom, J. A. 1974, A&AS, 15, 417 [Google Scholar]
  39. Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [NASA ADS] [CrossRef] [Google Scholar]
  40. James, B. L., Auger, M., Pettini, M., et al. 2018, MNRAS, 476, 1726 [Google Scholar]
  41. Jiang, M., Bobin, J., & Starck, J. L. 2017, SIAM J. Imaging Sci., 10, 1997 [Google Scholar]
  42. Joseph, R., Courbin, F., & Starck, J. L. 2016, A&A, 589, A2 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  43. Joseph, R., Courbin, F., Starck, J. L., & Birrer, S. 2019, A&A, 623, A14 [EDP Sciences] [Google Scholar]
  44. Keeton, C. R. 2001, ArXiv e-prints [arXiv:astro-ph/0102340] [Google Scholar]
  45. Kennedy, J., & Eberhart, R. C. 2001, Swarm Intelligence (San Francisco, CA, USA: Morgan Kaufmann Publishers Inc.) [Google Scholar]
  46. Kluyver, T., Ragan-Kelley, B., Pérez, F., et al. 2016, in Positioning and Power in Academic Publishing: Players, Agents and Agendas, eds. F. Loizides, & B. Schmidt (IOS Press), 87 [Google Scholar]
  47. Kneib, J. P., Bonnet, H., Golse, G., et al. 2011, LENSTOOL: A Gravitational Lensing Software for Modeling Mass Distribution of Galaxies and Clusters (strong and weak regime) [Google Scholar]
  48. Kochanek, C. S., & Narayan, R. 1992, ApJ, 401, 461 [NASA ADS] [CrossRef] [Google Scholar]
  49. Krist, J. E., Hook, R. N., & Stoehr, F. 2011, Proc. SPIE, 8127, 81270J [CrossRef] [Google Scholar]
  50. Lanusse, F., Starck, J. L., Leonard, A., & Pires, S. 2016, A&A, 591, A2 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  51. Leschinski, K., Czoske, O., Köhler, R., et al. 2016, Proc. SPIE, 9911, 991124 [Google Scholar]
  52. Meinhardt, T., Moeller, M., Hazirbas, C., & Cremers, D. 2017, 2017 IEEE International Conference on Computer Vision (ICCV), Venice, 1799 [Google Scholar]
  53. Melchior, P., Böhnert, A., Lombardi, M., & Bartelmann, M. 2010, A&A, 510, A75 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  54. Meng, X.-L., Treu, T., Agnello, A., et al. 2015, J. Cosmol. Astropart. Phys., 2015, 059 [Google Scholar]
  55. Morningstar, W. R., Hezaveh, Y. D., Perreault Levasseur, L., et al. 2018, ArXiv e-prints [arXiv:1808.00011] [Google Scholar]
  56. Morningstar, W. R., Perreault Levasseur, L., Hezaveh, Y. D., et al. 2019, ApJ, 883, 14 [Google Scholar]
  57. Natarajan, P., De Lucia, G., & Springel, V. 2007, MNRAS, 376, 180 [NASA ADS] [CrossRef] [Google Scholar]
  58. Nightingale, J. W., & Dye, S. 2015, MNRAS, 452, 2940 [NASA ADS] [CrossRef] [Google Scholar]
  59. Nightingale, J. W., Dye, S., & Massey, R. J. 2018, MNRAS, 478, 4738 [NASA ADS] [CrossRef] [Google Scholar]
  60. Oguri, M. 2010, glafic: Software Package for Analyzing Gravitational Lensing [Google Scholar]
  61. Oliphant, T. E. 2006, A guide to NumPy (USA: Trelgol Publishing), 1 [Google Scholar]
  62. Pearson, J., Li, N., & Dye, S. 2019, MNRAS, 488, 991 [CrossRef] [Google Scholar]
  63. Peel, A., Lanusse, F., & Starck, J.-L. 2017, ApJ, 847, 23 [Google Scholar]
  64. Perreault Levasseur, L., Hezaveh, Y. D., & Wechsler, R. H. 2017, ApJ, 850, L7 [NASA ADS] [CrossRef] [Google Scholar]
  65. Powell, D., Vegetti, S., McKean, J. P., et al. 2021, MNRAS, 501, 515 [Google Scholar]
  66. Pratley, L., McEwen, J. D., d’Avezac, M., et al. 2018, MNRAS, 473, 1038 [NASA ADS] [CrossRef] [Google Scholar]
  67. Refregier, A. 2003, MNRAS, 338, 35 [NASA ADS] [CrossRef] [Google Scholar]
  68. Ritondale, E., Vegetti, S., Despali, G., et al. 2019, MNRAS, 485, 2179 [CrossRef] [Google Scholar]
  69. Rizzo, F., Vegetti, S., Fraternali, F., & Di Teodoro, E. 2018, MNRAS, 481, 5606 [CrossRef] [Google Scholar]
  70. Saha, P. 2000, AJ, 120, 1654 [NASA ADS] [CrossRef] [Google Scholar]
  71. Schneider, P., & Sluse, D. 2013, A&A, 559, A37 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  72. Shajib, A. J., Birrer, S., Treu, T., et al. 2019, MNRAS, 483, 5649 [NASA ADS] [CrossRef] [Google Scholar]
  73. Shajib, A. J., Birrer, S., Treu, T., et al. 2020a, MNRAS, 494, 6072 [Google Scholar]
  74. Shajib, A. J., Treu, T., Birrer, S., & Sonnenfeld, A. 2020b, MNRAS, submitted [arXiv:2008.11724] [Google Scholar]
  75. Sonnenfeld, A. 2018, MNRAS, 474, 4648 [NASA ADS] [CrossRef] [Google Scholar]
  76. Starck, J. L., Moudden, Y., Bobin, J., Elad, M., & Donoho, D. L. 2005, SPIE Conf. Ser., 5914, 209 [Google Scholar]
  77. Starck, J.-L., Fadili, J., & Murtagh, F. 2007, IEEE Trans. Image Proc., 16, 297 [Google Scholar]
  78. Sureau, F., Lechat, A., & Starck, J.-L. 2020, A&A, 641, A67 [EDP Sciences] [Google Scholar]
  79. Suyu, S. H., & Halkola, A. 2010, A&A, 524, A94 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  80. Suyu, S. H., Marshall, P. J., Hobson, M. P., & Bland ford, R. D. 2006, MNRAS, 371, 983 [NASA ADS] [CrossRef] [Google Scholar]
  81. Suyu, S. H., Marshall, P. J., Blandford, R. D., et al. 2009, ApJ, 691, 277 [Google Scholar]
  82. Suyu, S. H., Auger, M. W., Hilbert, S., et al. 2013, ApJ, 766, 70 [NASA ADS] [CrossRef] [Google Scholar]
  83. Tagore, A. S., & Jackson, N. 2016, MNRAS, 457, 3066 [NASA ADS] [CrossRef] [Google Scholar]
  84. Tagore, A. S., & Keeton, C. R. 2014, MNRAS, 445, 694 [NASA ADS] [CrossRef] [Google Scholar]
  85. Treu, T., & Koopmans, L. V. E. 2004, ApJ, 611, 739 [NASA ADS] [CrossRef] [Google Scholar]
  86. Van Der Walt, S., Colbert, S. C., & Varoquaux, G. 2011, Comput. Sci. Eng., 13, 22 [Google Scholar]
  87. van der Walt, S., Schönberger, J. L., Nunez-Iglesias, J., et al. 2014, ArXiv e-prints [arXiv:1407.6245] [Google Scholar]
  88. Vegetti, S., & Koopmans, L. V. E. 2009, MNRAS, 392, 945 [NASA ADS] [CrossRef] [Google Scholar]
  89. Vegetti, S., Koopmans, L. V. E., Bolton, A., Treu, T., & Gavazzi, R. 2010, MNRAS, 408, 1969 [NASA ADS] [CrossRef] [Google Scholar]
  90. Virtanen, P., Gommers, R., Oliphant, T. E., et al. 2020, Nat. Methods, 17, 261 [Google Scholar]
  91. Wallington, S., Kochanek, C. S., & Narayan, R. 1996, ApJ, 465, 64 [NASA ADS] [CrossRef] [Google Scholar]
  92. Warren, S. J., & Dye, S. 2003, ApJ, 590, 673 [NASA ADS] [CrossRef] [Google Scholar]
  93. Williams, L. L. R., & Saha, P. 2004, AJ, 128, 2631 [NASA ADS] [CrossRef] [Google Scholar]
  94. Wong, K. C., Suyu, S. H., Chen, G. C. F., et al. 2020, MNRAS, 498, 1420 [Google Scholar]
  95. Xu, D., Sluse, D., Schneider, P., et al. 2016, MNRAS, 456, 739 [NASA ADS] [CrossRef] [Google Scholar]

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