EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues Volume 667 (November 2022) A&A, 667 (2022) A86 References
Open Access
Issue
A&A
Volume 667, November 2022
Article Number A86
Number of page(s) 17
Section Cosmology (including clusters of galaxies)
DOI https://doi.org/10.1051/0004-6361/202244324
Published online 09 November 2022
  1. Abbott, B. P., Abbott, R., & Abbott, T. D. 2017, Nature, 551, 85 [NASA ADS] [CrossRef] [Google Scholar]
  2. Abbott, T. M. C., Abdalla, F. B., Annis, J., et al. 2018, MNRAS, 480, 3879 [Google Scholar]
  3. Addison, G. E., Watts, D. J., Bennett, C. L., et al. 2018, ApJ, 853, 119 [Google Scholar]
  4. Aiola, S., Calabrese, E., Maurin, L., et al. 2020, JCAP, 2020, 047 [Google Scholar]
  5. Anguita, T., Schechter, P. L., Kuropatkin, N., et al. 2018, MNRAS, 480, 5017 [NASA ADS] [Google Scholar]
  6. Astropy Collaboration (Robitaille, T. P., et al.) 2013, A&A, 558, A33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  7. Astropy Collaboration (Price-Whelan, A. M., et al.) 2018, AJ, 156, 123 [Google Scholar]
  8. Auger, M. W., Treu, T., Bolton, A. S., et al. 2009, ApJ, 705, 1099 [Google Scholar]
  9. Auger, M. W., Treu, T., Bolton, A. S., et al. 2010, ApJ, 724, 511 [NASA ADS] [CrossRef] [Google Scholar]
  10. Bacon, R., Accardo, M., & Adjali, L. 2010, in Ground-based and Airborne Instrumentation for Astronomy III, eds. I. S. McLean, S. K. Ramsay, & H. Takami, SPIE Conf. Ser., 7735, 773508 [NASA ADS] [Google Scholar]
  11. Barnabe, M., & Koopmans, L. V. E. 2007, ApJ, 666, 726 [NASA ADS] [CrossRef] [Google Scholar]
  12. Barnabè, M., Czoske, O., Koopmans, L. V. E., Treu, T., & Bolton, A. S. 2011, MNRAS, 415, 2215 [Google Scholar]
  13. Bevacqua, D., Cappellari, M., & Pellegrini, S. 2022, MNRAS, 511, 139 [NASA ADS] [CrossRef] [Google Scholar]
  14. Binney, J., & Mamon, G. A. 1982, MNRAS, 200, 361 [Google Scholar]
  15. Birrer, S. 2021, ApJ, 919, 38 [NASA ADS] [CrossRef] [Google Scholar]
  16. Birrer, S., & Amara, A. 2018, Phys. Dark Univ., 22, 189 [Google Scholar]
  17. Birrer, S., & Treu, T. 2021, A&A, 649, A61 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  18. Birrer, S., Amara, A., & Refregier, A. 2016, JCAP, 2016, 020 [CrossRef] [Google Scholar]
  19. Birrer, S., Treu, T., Rusu, C. E., et al. 2019, MNRAS, 484, 4726 [Google Scholar]
  20. Birrer, S., Shajib, A. J., Galan, A., et al. 2020, A&A, 643, A165 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  21. Birrer, S., Shajib, A., Gilman, D., et al. 2021, J. Open Sour. Softw., 6, 3283 [NASA ADS] [CrossRef] [Google Scholar]
  22. Blum, K., Castorina, E., & Simonović, M. 2020, ApJ, 892, L27 [Google Scholar]
  23. Bolton, A. S., Burles, S., Koopmans, L. V. E., Treu, T., & Moustakas, L. A. 2006, ApJ, 638, 703 [NASA ADS] [CrossRef] [Google Scholar]
  24. Bolton, A. S., Burles, S., Koopmans, L. V. E., et al. 2008, ApJ, 682, 964 [Google Scholar]
  25. Bonvin, V., Millon, M., Chan, J. H. H., et al. 2019, A&A, 629, A97 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  26. Cappellari, M. 2008, MNRAS, 390, 71 [NASA ADS] [CrossRef] [Google Scholar]
  27. Cappellari, M. 2020, MNRAS, 494, 4819 [NASA ADS] [CrossRef] [Google Scholar]
  28. Chang, Y.-Y., van der Wel, A., Rix, H.-W., et al. 2013, ApJ, 773, 149 [NASA ADS] [CrossRef] [Google Scholar]
  29. Chen, G. C. F., Fassnacht, C. D., Suyu, S. H., et al. 2019, MNRAS, 490, 1743 [NASA ADS] [CrossRef] [Google Scholar]
  30. Ciotti, L., & Bertin, G. 1999, A&A, 352, 447 [NASA ADS] [Google Scholar]
  31. Courbin, F., Bonvin, V., Buckley-Geer, E., et al. 2018, A&A, 609, A71 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  32. Ding, X., Treu, T., Shajib, A. J., et al. 2018, ArXiv e-prints [arXiv:1801.01506] [Google Scholar]
  33. Ding, X., Treu, T., Birrer, S., et al. 2021a, MNRAS, 503, 1096 [Google Scholar]
  34. Ding, X., Treu, T., Birrer, S., et al. 2021b, MNRAS, 501, 269 [Google Scholar]
  35. Dressel, L. 2012, Wide Field Camera, 3, 5 [NASA ADS] [Google Scholar]
  36. Dutton, A. A., & Treu, T. 2014, MNRAS, 438, 3594 [NASA ADS] [CrossRef] [Google Scholar]
  37. Dutton, A. A., Brewer, B. J., Marshall, P. J., et al. 2011, MNRAS, 417, 1621 [NASA ADS] [CrossRef] [Google Scholar]
  38. Falco, E. E., Gorenstein, M. V., & Shapiro, I. I. 1985, ApJ, 289, L1 [Google Scholar]
  39. Foreman-Mackey, D., Hogg, D. W., Lang, D., & Goodman, J. 2013, PASP, 125, 306 [Google Scholar]
  40. Freedman, W. L. 2021, ApJ, 919, 16 [NASA ADS] [CrossRef] [Google Scholar]
  41. Freedman, W. L., Madore, B. F., Hoyt, T., et al. 2020, ApJ, 891, 57 [Google Scholar]
  42. Gavazzi, R., Treu, T., Rhodes, J. D., et al. 2007, ApJ, 667, 176 [Google Scholar]
  43. Gilman, D., Birrer, S., & Treu, T. 2020, A&A, 642, A194 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  44. Golse, G., & Kneib, J. P. 2002, A&A, 390, 821 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  45. Gomer, M., & Williams, L. L. R. 2020, JCAP, 2020, 045 [CrossRef] [Google Scholar]
  46. Gomer, M. R., & Williams, L. L. R. 2018, MNRAS, 475, 1987 [NASA ADS] [CrossRef] [Google Scholar]
  47. Goodman, J., & Weare, J. 2010, Commun. Appl. Math. Comput. Sci., 5, 65 [Google Scholar]
  48. Hao, C. N., Mao, S., Deng, Z. G., Xia, X. Y., & Wu, H. 2006, MNRAS, 370, 1339 [CrossRef] [Google Scholar]
  49. Huang, C. D., Riess, A. G., Yuan, W., et al. 2020, ApJ, 889, 5 [Google Scholar]
  50. Humphrey, P. J., & Buote, D. A. 2010, MNRAS, 403, 2143 [Google Scholar]
  51. Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [NASA ADS] [CrossRef] [Google Scholar]
  52. Kassiola, A., & Kovner, I. 1993, ApJ, 417, 450 [Google Scholar]
  53. Keeton, C. R., Kochanek, C. S., & Falco, E. E. 1998, ApJ, 509, 561 [NASA ADS] [CrossRef] [Google Scholar]
  54. Kennedy, J., & Eberhart, R. 1995, Proceedings of ICNN’95 – International Conference on Neural Networks, 4, 1942 [CrossRef] [Google Scholar]
  55. Kenworthy, W. D., Scolnic, D., & Riess, A. 2019, ApJ, 875, 145 [NASA ADS] [CrossRef] [Google Scholar]
  56. Kochanek, C. S. 2020, MNRAS, 493, 1725 [NASA ADS] [CrossRef] [Google Scholar]
  57. Kochanek, C. S. 2021, MNRAS, 501, 5021 [Google Scholar]
  58. Koopmans, L. V. E., Treu, T., Fassnacht, C. D., Blandford, R. D., & Surpi, G. 2003, ApJ, 599, 70 [NASA ADS] [CrossRef] [Google Scholar]
  59. Koopmans, L. V. E., Bolton, A., Treu, T., et al. 2009, ApJ, 703, L51 [NASA ADS] [CrossRef] [Google Scholar]
  60. Kormendy, J., Fisher, D. B., Cornell, M. E., & Bender, R. 2009, ApJS, 182, 216 [Google Scholar]
  61. Larkin, J., Barczys, M., Krabbe, A., et al. 2006, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, eds. I. S. McLean, & M. Iye, 6269, 62691A [Google Scholar]
  62. Mamon, G. A., & Łokas, E. L. 2005, MNRAS, 363, 705 [Google Scholar]
  63. Merritt, D. 1985, AJ, 90, 1027 [Google Scholar]
  64. Millman, K. J., & Aivazis, M. 2011, Comput. Sci. Eng., 13, 9 [NASA ADS] [CrossRef] [Google Scholar]
  65. Millon, M., Courbin, F., Bonvin, V., et al. 2020a, A&A, 640, A105 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  66. Millon, M., Galan, A., Courbin, F., et al. 2020b, A&A, 639, A101 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  67. Morrissey, P., Matuszewski, M., Martin, D. C., et al. 2018, ApJ, 864, 93 [Google Scholar]
  68. Navarro, J. F., Frenk, C. S., & White, S. D. M. 1996, ApJ, 462, 563 [Google Scholar]
  69. Navarro, J. F., Frenk, C. S., & White, S. D. M. 1997, ApJ, 490, 493 [Google Scholar]
  70. Oliphant, T. E. 2007, Comput. Sci. Eng., 9, 10 [NASA ADS] [CrossRef] [Google Scholar]
  71. Osipkov, L. P. 1979, Pisma v Astronomicheskii Zhurnal, 5, 77 [Google Scholar]
  72. Pesce, D., Braatz, J., Reid, M., et al. 2020, H02020: Assessing Uncertainties in Hubble’s Constant Across the Universe, 20 [Google Scholar]
  73. Planck Collaboration VI. 2020, A&A, 641, A6 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  74. Poulin, V., Smith, T. L., Karwal, T., & Kamionkowski, M. 2019, Phys. Rev. Lett., 122, 221301 [Google Scholar]
  75. Riess, A. G., Yuan, W., Macri, L. M., et al. 2022, ApJ, 934, L7 [NASA ADS] [CrossRef] [Google Scholar]
  76. Rusu, C. E., Wong, K. C., Bonvin, V., et al. 2020, MNRAS, 498, 1440 [Google Scholar]
  77. Saha, P., & Williams, L. L. R. 2006, ApJ, 653, 936 [NASA ADS] [CrossRef] [Google Scholar]
  78. Schmidt, T., Treu, T., Birrer, S., et al. 2022, MNRAS, submitted [arXiv:2206.04696] [Google Scholar]
  79. Schneider, P., & Sluse, D. 2013, A&A, 559, A37 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  80. Schneider, P., & Sluse, D. 2014, A&A, 564, A103 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  81. Sérsic, J. L. 1963, Bol. Assoc. Argent. Astron. Plata Argent., 6, 41 [Google Scholar]
  82. Shajib, A. J. 2019, MNRAS, 488, 1387 [NASA ADS] [CrossRef] [Google Scholar]
  83. Shajib, A. J., Birrer, S., Treu, T., et al. 2019, MNRAS, 483, 5649 [Google Scholar]
  84. Shajib, A. J., Birrer, S., Treu, T., et al. 2020, MNRAS, 494, 6072 [Google Scholar]
  85. Shajib, A. J., Treu, T., Birrer, S., & Sonnenfeld, A. 2021, MNRAS, 503, 2380 [Google Scholar]
  86. Shi, Y., & Eberhart, R. 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360), 69 [CrossRef] [Google Scholar]
  87. Sluse, D., Chantry, V., Magain, P., Courbin, F., & Meylan, G. 2012, A&A, 538, A99 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  88. Sonnenfeld, A. 2018, MNRAS, 474, 4648 [Google Scholar]
  89. Sonnenfeld, A., Treu, T., Gavazzi, R., et al. 2012, ApJ, 752, 163 [Google Scholar]
  90. Spingola, C., McKean, J. P., Auger, M. W., et al. 2018, MNRAS, 478, 4816 [NASA ADS] [CrossRef] [Google Scholar]
  91. Suyu, S. H., Marshall, P. J., Blandford, R. D., et al. 2009, ApJ, 691, 277 [Google Scholar]
  92. Suyu, S. H., Marshall, P. J., Auger, M. W., et al. 2010, ApJ, 711, 201 [Google Scholar]
  93. Suyu, S. H., Treu, T., Hilbert, S., et al. 2014, ApJ, 788, L35 [NASA ADS] [CrossRef] [Google Scholar]
  94. Suyu, S. H., Bonvin, V., Courbin, F., et al. 2017, MNRAS, 468, 2590 [Google Scholar]
  95. Treu, T., & Koopmans, L. V. E. 2002a, ApJ, 575, 87 [NASA ADS] [CrossRef] [Google Scholar]
  96. Treu, T., & Koopmans, L. V. E. 2002b, MNRAS, 337, L6 [NASA ADS] [CrossRef] [Google Scholar]
  97. Treu, T., Agnello, A., Baumer, M. A., et al. 2018, MNRAS, 481, 1041 [NASA ADS] [CrossRef] [Google Scholar]
  98. The pandas development team 2020, https://doi.org/10.5281/zenodo.3509134 [Google Scholar]
  99. Unruh, S., Schneider, P., & Sluse, D. 2017, A&A, 601, A77 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  100. van de Ven, G., Mandelbaum, R., & Keeton, C. R. 2009, MNRAS, 398, 607 [NASA ADS] [CrossRef] [Google Scholar]
  101. Van de Vyvere, L., Gomer, M. R., Sluse, D., et al. 2022a, A&A, 659, A127 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  102. Van de Vyvere, L., Sluse, D., Gomer, M. R., & Mukherjee, S. 2022b, A&A, 663, A179 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  103. van der Walt, S., Colbert, S. C., & Varoquaux, G. 2011, Comput. Sci. Eng., 13, 22 [Google Scholar]
  104. Virtanen, P., Gommers, R., Oliphant, T. E., et al. 2020, Nat. Meth., 17, 261 [Google Scholar]
  105. Waskom, M. L. 2021, J. Open Sour. Softw., 6, 3021 [NASA ADS] [CrossRef] [Google Scholar]
  106. Weijmans, A.-M., de Zeeuw, P. T., Emsellem, E., et al. 2014, MNRAS, 444, 3340 [Google Scholar]
  107. Wertz, O., Orthen, B., & Schneider, P. 2018, A&A, 617, A140 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  108. McKinney, W. 2010, in Proceedings of the 9th Python in Science Conference, eds. S. van der Walt, & J. Millman, 56 [Google Scholar]
  109. Wong, K. C., Suyu, S. H., Auger, M. W., et al. 2017, MNRAS, 465, 4895 [NASA ADS] [CrossRef] [Google Scholar]
  110. Wong, K. C., Suyu, S. H., Chen, G. C. F., et al. 2020, MNRAS, 498, 1420 [Google Scholar]
  111. Xu, D., Sluse, D., Schneider, P., et al. 2016, MNRAS, 456, 739 [Google Scholar]
  112. Xu, D., Springel, V., Sluse, D., et al. 2017, MNRAS, 469, 1824 [NASA ADS] [CrossRef] [Google Scholar]
  113. Yıldırım, A., Suyu, S. H., & Halkola, A. 2020, MNRAS, 493, 4783 [Google Scholar]
  114. Yıldırım, A., Suyu, S. H., Chen, G. C. F., & Komatsu, E. 2021, A&A, submitted [arXiv:2109.14615] [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  115. Yoo, J., Kochanek, C. S., Falco, E. E., & McLeod, B. A. 2006, ApJ, 642, 22 [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.