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Home All issues Volume 621 (January 2019) A&A, 621 (2019) A36 References
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Issue
A&A
Volume 621, January 2019
Article Number A36
Number of page(s) 31
Section Cosmology (including clusters of galaxies)
DOI https://doi.org/10.1051/0004-6361/201833775
Published online 03 January 2019
  1. Albrecht, A., Bernstein, G. M., Cahn, R., et al. 2006, ArXiv e-prints [arXiv:astro-ph/0609591] [Google Scholar]
  2. Bartelmann, M., & Maturi, M. 2017, Scholarpedia, 12, 32440 [NASA ADS] [CrossRef] [Google Scholar]
  3. Bernstein, G. M., & Armstrong, R. 2014, MNRAS, 438, 1880 [NASA ADS] [CrossRef] [Google Scholar]
  4. Bernstein, G. M., & Jarvis, M. 2002, AJ, 123, 583 [NASA ADS] [CrossRef] [Google Scholar]
  5. Bertin, E., & Arnouts, S. 1996, A&AS, 117, 393 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  6. Bertin, E., & Arnouts, S. 2010, Astrophysics Source Code Library [record ascl:1010.064] [Google Scholar]
  7. Bilicki, M., Hoekstra, H., Brown, M. J. I., et al. 2018, A&A, 616, A69 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  8. Bonnett, C. 2015, MNRAS, 449, 1043 [NASA ADS] [CrossRef] [Google Scholar]
  9. Bridle, S., Balan, S. T., Bethge, M., et al. 2010, MNRAS, 405, 2044 [NASA ADS] [Google Scholar]
  10. Chromey, F. R. 2010, To Measure the Sky (Cambridge University Press) [CrossRef] [Google Scholar]
  11. Cropper, M., Hoekstra, H., Kitching, T. D., et al. 2013, MNRAS, 431, 3103 [NASA ADS] [CrossRef] [Google Scholar]
  12. Cropper, M., Pottinger, S., Niemi, S., et al. 2016, Proc. SPIE, 9904, 99040Q [Google Scholar]
  13. Dawson, W. A., Schneider, M. D., Tyson, J. A., & Jee, M. J. 2016, ApJ, 816, 11 [NASA ADS] [CrossRef] [Google Scholar]
  14. de Jong, J. T. A., Verdoes Kleijn, G. A., Boxhoorn, D. R., et al. 2015, A&A, 582, A62 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  15. D’Isanto, A., & Polsterer, K. L. 2018, A&A, 609, A111 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  16. Durbin, R., & Rumelhart, D. E. 1989, Neural Comput., 1, 133 [CrossRef] [Google Scholar]
  17. Er, X., Hoekstra, H., Schrabback, T., et al. 2018, MNRAS, 476, 5645 [NASA ADS] [CrossRef] [Google Scholar]
  18. Fenech Conti, I., Herbonnet, R., Hoekstra, H., et al. 2017, MNRAS, 467, 1627 [NASA ADS] [Google Scholar]
  19. Graff, P., Feroz, F., Hobson, M. P., & Lasenby, A. 2014, MNRAS, 441, 1741 [NASA ADS] [CrossRef] [Google Scholar]
  20. Gruen, D., Seitz, S., Koppenhoefer, J., & Riffeser, A. 2010, ApJ, 720, 639 [NASA ADS] [CrossRef] [Google Scholar]
  21. Hartlap, J., Hilbert, S., Schneider, P., & Hildebrandt, H. 2011, A&A, 528, A51 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  22. Heymans, C., van Waerbeke, L., Bacon, D., et al. 2006, MNRAS, 368, 1323 [NASA ADS] [CrossRef] [Google Scholar]
  23. Hirata, C. M., & Seljak, U. 2003, Adv. High Energy Phys., 343, 459 [Google Scholar]
  24. Hoekstra, H., Franx, M., Kuijken, K., & Squires, G. 1998, ApJ, 504, 636 [NASA ADS] [CrossRef] [Google Scholar]
  25. Hoekstra, H., Viola, M., & Herbonnet, R. 2017, MNRAS, 468, 3295 [NASA ADS] [CrossRef] [Google Scholar]
  26. Huff, E. M., & Graves, G. J. 2013, ApJ, 780, L16 [NASA ADS] [CrossRef] [Google Scholar]
  27. Huff, E. M., & Mandelbaum, R. 2017, ApJ, submitted [arXiv:1702.02600] [Google Scholar]
  28. Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [NASA ADS] [CrossRef] [Google Scholar]
  29. Jee, M. J., Tyson, J. A., Hilbert, S., et al. 2016, ApJ, 824, 77 [NASA ADS] [CrossRef] [Google Scholar]
  30. Kaiser, N. 2000, ApJ, 537, 555 [NASA ADS] [CrossRef] [Google Scholar]
  31. Kaiser, N., Squires, G., & Broadhurst, T. 1995, ApJ, 449, 460 [NASA ADS] [CrossRef] [Google Scholar]
  32. Kilbinger, M. 2015, Rep. Prog. Phys., 78, 086901 [Google Scholar]
  33. Kitching, T. D., Balan, S. T., Bridle, S., et al. 2012, MNRAS, 423, 3163 [NASA ADS] [CrossRef] [Google Scholar]
  34. Laureijs, R., Amiaux, J., Arduini, S., et al. 2011, ArXiv e-prints [arXiv:1110.3193] [Google Scholar]
  35. Mandelbaum, R. 2018, ARA&A, 56, 393 [NASA ADS] [CrossRef] [Google Scholar]
  36. Mandelbaum, R., Hirata, C. M., Leauthaud, A., Massey, R. J., & Rhodes, J. 2012, MNRAS, 420, 1518 [NASA ADS] [CrossRef] [Google Scholar]
  37. Mandelbaum, R., Rowe, B., Bosch, J., et al. 2014, ApJS, 212, 5 [NASA ADS] [CrossRef] [Google Scholar]
  38. Mandelbaum, R., Rowe, B., Armstrong, R., et al. 2015, MNRAS, 450, 2963 [NASA ADS] [CrossRef] [Google Scholar]
  39. Massey, R. J., Heymans, C., Berge, J., et al. 2007, MNRAS, 376, 13 [NASA ADS] [CrossRef] [Google Scholar]
  40. Massey, R. J., Hoekstra, H., Kitching, T. D., et al. 2013, MNRAS, 429, 661 [Google Scholar]
  41. Melchior, P., & Viola, M. 2012, MNRAS, 424, 2757 [NASA ADS] [CrossRef] [Google Scholar]
  42. Melchior, P., Viola, M., Schäfer, B. M., & Bartelmann, M. 2011, MNRAS, 412, 1552 [NASA ADS] [CrossRef] [Google Scholar]
  43. Miller, L., Heymans, C., Kitching, T. D., et al. 2013, MNRAS, 429, 2858 [Google Scholar]
  44. Nakajima, R., & Bernstein, G. M. 2007, AJ, 133, 1763 [NASA ADS] [CrossRef] [Google Scholar]
  45. Nielsen, M. A. 2015, Neural Networks and Deep Learning (Determination Press) [Google Scholar]
  46. Niemi, S.-M., Cropper, M., Szafraniec, M., & Kitching, T. D. 2015, Exp. Astron., 39, 207 [NASA ADS] [CrossRef] [Google Scholar]
  47. Nocedal, J., & Wright, S. 2006, Numerical Optimization (Springer) [Google Scholar]
  48. Oliphant, T. 2007, Comput. Sci. Eng., 9, 10 [CrossRef] [PubMed] [Google Scholar]
  49. Peng, C. Y., Ho, L. C., Impey, C. D., & Rix, H.-W. 2002, AJ, 124, 266 [NASA ADS] [CrossRef] [Google Scholar]
  50. Pickles, A. J. 1998, PASP, 110, 863 [CrossRef] [Google Scholar]
  51. Pujol, A., Sureau, F., Bobin, J., et al. 2017, A&A, submitted [arXiv:1707.01285] [Google Scholar]
  52. Pujol, A., Kilbinger, M., Sureau, F., & Bobin, J. 2019, A&A, 621, A2 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  53. Refregier, A. 2003, ARA&A, 41, 645 [NASA ADS] [CrossRef] [Google Scholar]
  54. Réfrégier, A., Amara, A., Kitching, T. D., et al. 2010, ArXiv e-prints [arXiv:1001.0061] [Google Scholar]
  55. Refregier, A., Kacprzak, T., Amara, A., Bridle, S., & Rowe, B. 2012, MNRAS, 425, 1951 [NASA ADS] [CrossRef] [Google Scholar]
  56. Rix, H.-W., Barden, M., Beckwith, S. V. W., et al. 2004, ApJS, 152, 163 [NASA ADS] [CrossRef] [Google Scholar]
  57. Robitaille, T. P., Tollerud, E. J., Greenfield, P., et al. 2013, A&A, 558, A33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  58. Rousseeuw, P. J., & Croux, C. 1993, J. Am. Stat. Assoc., 88 [Google Scholar]
  59. Rowe, B. T. P., Jarvis, M., Mandelbaum, R., et al. 2015, Astron. Comput., 10, 121 [NASA ADS] [CrossRef] [Google Scholar]
  60. Rumelhart, D. E., Hinton, G. E., & Williams, R. J. 1986, Sci. Am., 323, 533 [Google Scholar]
  61. Samuroff, S., Bridle, S. L., Zuntz, J., et al. 2018, MNRAS, 475, 4524 [NASA ADS] [CrossRef] [Google Scholar]
  62. Schmidt, F., Leauthaud, A., Massey, R. J., et al. 2011, ApJ, 744, L22 [NASA ADS] [CrossRef] [Google Scholar]
  63. Schmitt, M. 2002, Neural Comput., 14, 241 [CrossRef] [Google Scholar]
  64. Schneider, P., Kochanek, C. S., & Wambsganss, J. 2006, in Saas-Fee Advanced Course, eds. G. Meylan, P. Jetzer, & P. North (Springer Verlag), Gravitational Lensing: Strong, Weak and Micro, 33 [Google Scholar]
  65. Semboloni, E., Hoekstra, H., Huang, Z., et al. 2013, MNRAS, 432, 2385 [NASA ADS] [CrossRef] [Google Scholar]
  66. Sérsic, J. L. 1963, Bol. Asoc. Argent. Astron. Plata Argent., 6, 41 [Google Scholar]
  67. Simon, P., & Schneider, P. 2017, A&A, 604, A109 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  68. Springer, O. M., Ofek, E. O., Weiss, Y., & Merten, J. 2018, MNRAS, submitted [arXiv:1808.07491] [Google Scholar]
  69. Tagliaferri, R., Longo, G., Milano, L., et al. 2003, Neural Networks, 16, 297 [CrossRef] [Google Scholar]
  70. Tewes, M., Cantale, N., Courbin, F., Kitching, T. D., & Meylan, G. 2012, A&A, 544, A8 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  71. The Dark Energy Survey Collaboration (Abbott, T., et al.) 2016, Phys. Rev. D, 94, 022001 [NASA ADS] [CrossRef] [Google Scholar]
  72. Tuccillo, D., Huertas-Company, M., Decenciere, E., et al. 2018, MNRAS, 475, 894 [NASA ADS] [CrossRef] [Google Scholar]
  73. Voigt, L. M., Bridle, S. L., Amara, A., et al. 2012, MNRAS, 421, 1385 [NASA ADS] [CrossRef] [Google Scholar]
  74. Zhou, Z.-H., Wu, J., & Tang, W. 2002, Artif. Intell., 137, 239 [CrossRef] [Google Scholar]

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