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Home All issues Volume 666 (October 2022) A&A, 666 (2022) A85 References
Open Access
Issue
A&A
Volume 666, October 2022
Article Number A85
Number of page(s) 12
Section Extragalactic astronomy
DOI https://doi.org/10.1051/0004-6361/202244081
Published online 11 October 2022
  1. Abbott, T. M. C., Abdalla, F. B., Alarcon, A., et al. 2018, Phys. Rev. D, 98, 043526 [NASA ADS] [CrossRef] [Google Scholar]
  2. Abbott, T. M. C., Aguena, M., Alarcon, A., et al. 2022, Phys. Rev. D, 105, 023520 [CrossRef] [Google Scholar]
  3. Abdalla, F. B., Amara, A., Capak, P., et al. 2008, MNRAS, 387, 969 [Google Scholar]
  4. Ackermann, S., Schawinski, K., Zhang, C., Weigel, A. K., & Turp, M. D. 2018, MNRAS, 479, 415 [NASA ADS] [CrossRef] [Google Scholar]
  5. Adhikari, S., Shin, T.-H., Jain, B., et al. 2021, ApJ, 923, 37 [NASA ADS] [CrossRef] [Google Scholar]
  6. Ahumada, R., Prieto, C. A., Almeida, A., et al. 2020, ApJS, 249, 3 [Google Scholar]
  7. Aihara, H., Arimoto, N., Armstrong, R., et al. 2018, PASJ, 70, S4 [NASA ADS] [Google Scholar]
  8. Amaro, V., Cavuoti, S., Brescia, M., et al. 2021, in Rejection Criteria Based on Outliers in the KiDS Photometric Redshifts and PDF Distributions Derived by Machine Learning, eds. I. Zelinka, M. Brescia, &D. Baron, 39, 245 [NASA ADS] [Google Scholar]
  9. Baldry, I. K., Liske, J., Brown, M. J. I., et al. 2018, MNRAS, 474, 3875 [Google Scholar]
  10. Banerji, M., Abdalla, F. B., Lahav, O., & Lin, H. 2008, MNRAS, 386, 1219 [NASA ADS] [CrossRef] [Google Scholar]
  11. Baum, W. A. 1962, in Problems of Extra-Galactic Research, ed. G. C. McVittie, 15, 390 [Google Scholar]
  12. Behroozi, P., Wechsler, R. H., Hearin, A. P., & Conroy, C. 2019, MNRAS, 488, 3143 [NASA ADS] [CrossRef] [Google Scholar]
  13. Benítez, N. 2000, ApJ, 536, 571 [Google Scholar]
  14. Bertin, E., & Arnouts, S. 1996, A&AS, 117, 393 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  15. Bilicki, M., Hoekstra, H., Brown, M. J. I., et al. 2018, A&A, 616, A69 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  16. Bilicki, M., Dvornik, A., Hoekstra, H., et al. 2021, A&A, 653, A82 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  17. Bolzonella, M., Miralles, J. M., & Pelló, R. 2000, A&A, 363, 476 [NASA ADS] [Google Scholar]
  18. Brescia, M., Cavuoti, S., Longo, G., & De Stefano, V. 2014, A&A, 568, A126 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  19. Cantiello, M., Blakeslee, J. P., Raimondo, G., et al. 2005, ApJ, 634, 239 [Google Scholar]
  20. Capaccioli, M., & Schipani, P. 2011, The Messenger, 146, 2 [NASA ADS] [Google Scholar]
  21. Cavuoti, S., Brescia, M., Longo, G., & Mercurio, A. 2012, A&A, 546, A13 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  22. Cavuoti, S., Brescia, M., Tortora, C., et al. 2015, MNRAS, 452, 3100 [NASA ADS] [CrossRef] [Google Scholar]
  23. {\’C}iprijanovi{\’c}, A., Snyder, G. F., Nord, B., & Peek, J. E. G. 2020, Astron. Comput., 32, 100390 [CrossRef] [Google Scholar]
  24. Collister, A. A., & Lahav, O. 2004, PASP, 116, 345 [NASA ADS] [CrossRef] [Google Scholar]
  25. Collister, A., Lahav, O., Blake, C., et al. 2007, MNRAS, 375, 68 [NASA ADS] [CrossRef] [Google Scholar]
  26. Connolly, A. 1997, The Properties of High Redshift Galaxies : A Near-Infrared Redshift Survey at 1 \textless z \textless 2 (HST Proposal) [Google Scholar]
  27. Connolly, A. J., Csabai, I., Szalay, A. S., et al. 1995, AJ, 110, 2655 [NASA ADS] [CrossRef] [Google Scholar]
  28. Couch, W. J., Ellis, R. S., Godwin, J., & Carter, D. 1983, MNRAS, 205, 1287 [NASA ADS] [CrossRef] [Google Scholar]
  29. Cun, Y. L., Boser, B., Denker, J. S., Henderson, D., & Jackel, L. D. 1990, Adv. Neural Inf. Process. Syst., 2, 396 [Google Scholar]
  30. de Jong, J. T. A., Verdoes Kleijn, G. A., Kuijken, K. H., & Valentijn, E. A. 2013, Exp. Astron., 35, 25 [Google Scholar]
  31. de Jong, J. T. A., Verdoes Kleijn, G. A., Erben, T., et al. 2017, A&A, 604, A134 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  32. de Jong, R. S., Agertz, O., Berbel, A. A., et al. 2019, The Messenger, 175, 3 [NASA ADS] [Google Scholar]
  33. DESI Collaboration (Aghamousa, A., et al.) 2016, ArXiv e-prints [arXiv:1611.00036] [Google Scholar]
  34. Dey, B., Andrews, B. H., Newman, J. A., et al. 2021, MNRAS, 515, 4 [Google Scholar]
  35. Di Valentino, E., Anchordoqui, L. A., Akarsu, Ö., et al. 2021, Astropart. Phys., 131, 102606 [NASA ADS] [CrossRef] [Google Scholar]
  36. D’Isanto, A., & Polsterer, K. L. 2018, A&A, 609, A111 [Google Scholar]
  37. D’Isanto, A., Cavuoti, S., Gieseke, F., & Polsterer, K. L. 2018, A&A, 616, A97 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  38. Domínguez Sánchez, H., Huertas-Company, M., Bernardi, M., Tuccillo, D., & Fischer, J. L. 2018, MNRAS, 476, 3661 [Google Scholar]
  39. Driver, S. P., Hill, D. T., Kelvin, L. S., et al. 2011, MNRAS, 413, 971 [Google Scholar]
  40. Edge, A., Sutherland, W., Kuijken, K., et al. 2013, The Messenger, 154, 32 [NASA ADS] [Google Scholar]
  41. Edge, A., Sutherland, W., & The Viking Team 2014, VizieR Online Data Catalog, II/2329 [Google Scholar]
  42. Feng, H.-C., Liu, H. T., Bai, J. M., et al. 2021, ApJ, 912, 92 [NASA ADS] [CrossRef] [Google Scholar]
  43. Friedman, J. H. 1999, Ann. Stat., 29, 1189 [Google Scholar]
  44. Gal, Y., & Ghahramani, Z. 2015, ArXiv e-prints [arXiv:1506.02158] [Google Scholar]
  45. Gong, Y., Liu, X., Cao, Y., et al. 2019, ApJ, 883, 203 [NASA ADS] [CrossRef] [Google Scholar]
  46. Goulding, A. D., Greene, J. E., Bezanson, R., et al. 2018, PASJ, 70, S37 [NASA ADS] [CrossRef] [Google Scholar]
  47. Greco, J. P., Greene, J. E., Strauss, M. A., et al. 2018, ApJ, 857, 104 [NASA ADS] [CrossRef] [Google Scholar]
  48. Heymans, C., Tröster, T., Asgari, M., et al. 2021, A&A, 646, A140 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  49. Hikage, C., Oguri, M., Hamana, T., et al. 2019, PASJ, 71, 43 [Google Scholar]
  50. Hildebrandt, H., Arnouts, S., Capak, P., et al. 2010, A&A, 523, A31 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  51. Hildebrandt, H., Viola, M., Heymans, C., et al. 2017, MNRAS, 465, 1454 [Google Scholar]
  52. Hoyle, B. 2016, Astron. Comput., 16, 34 [NASA ADS] [CrossRef] [Google Scholar]
  53. Huber, P. J. 1964, Ann. Math. Stat., 35, 73 [CrossRef] [Google Scholar]
  54. Ivezić, Ž., Kahn, S. M., Tyson, J. A., et al. 2019, ApJ, 873, 111 [Google Scholar]
  55. Joachimi, B., Lin, C. A., Asgari, M., et al. 2021, A&A, 646, A129 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  56. Kendall, A., & Gal, Y. 2017, ArXiv e-prints [arXiv:1703.04977] [Google Scholar]
  57. Khramtsov, V., Sergeyev, A., Spiniello, C., et al. 2019, A&A, 632, A56 [EDP Sciences] [Google Scholar]
  58. Kingma, D. P., & Ba, J. 2014, ArXiv e-prints [arXiv:1412.6980] [Google Scholar]
  59. Koo, D. C. 1985, AJ, 90, 418 [NASA ADS] [CrossRef] [Google Scholar]
  60. Kuijken, K. 2011, The Messenger, 146, 8 [NASA ADS] [Google Scholar]
  61. Kuijken, K., Heymans, C., Hildebrandt, H., et al. 2015, MNRAS, 454, 3500 [Google Scholar]
  62. Kuijken, K., Heymans, C., Dvornik, A., et al. 2019, A&A, 625, A2 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  63. Laureijs, R., Amiaux, J., Arduini, S., et al. 2011, ArXiv e-prints [arXiv:1110.3193] [Google Scholar]
  64. Li, R., Napolitano, N. R., Tortora, C., et al. 2020, ApJ, 899, 30 [Google Scholar]
  65. Li, R., Napolitano, N. R., Spiniello, C., et al. 2021, ApJ, 923, 16 [NASA ADS] [CrossRef] [Google Scholar]
  66. Li, R., Napolitano, N. R., Roy, N., et al. 2022, ApJ, 929, 152 [NASA ADS] [CrossRef] [Google Scholar]
  67. Lilly, S. J., Le Fèvre, O., Renzini, A., et al. 2007, ApJS, 172, 70 [Google Scholar]
  68. LSST Science Collaboration (Abell, P. A., et al.) 2009, ArXiv e-prints [arXiv:0912.0201] [Google Scholar]
  69. Moster, B. P., Naab, T., & White, S. D. M. 2013, MNRAS, 428, 3121 [Google Scholar]
  70. Nakoneczny, S., Bilicki, M., Solarz, A., et al. 2019, A&A, 624, A13 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  71. Newman, J. A., Cooper, M. C., Davis, M., et al. 2013, ApJS, 208, 5 [Google Scholar]
  72. Pasquet, J., Bertin, E., Treyer, M., Arnouts, S., & Fouchez, D. 2019, A&A, 621, A26 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  73. Podsztavek, O., Škoda, P., & Tvrdík, P. 2022, Bayesian SZNet: Bayesian deep learning to predict redshift with uncertainty, Astrophysics Source Code Library [record ascl:2204.004] [Google Scholar]
  74. Ramachandra, N., Chaves-Montero, J., Alarcon, A., et al. 2022, MNRAS, 515, 2 [Google Scholar]
  75. Rhea, C., Hlavacek-Larrondo, J., Rousseau-Nepton, L., & Prunet, S. 2021, Res. Notes Am. Astron. Soc., 5, 276 [Google Scholar]
  76. Roy, N., Napolitano, N. R., La Barbera, F., et al. 2018, MNRAS, 480, 1057 [Google Scholar]
  77. Sadeh, I., Abdalla, F. B., & Lahav, O. 2016, PASP, 128, 104502 [NASA ADS] [CrossRef] [Google Scholar]
  78. Schmidt, S. J., Malz, A. I., Soo, J. Y. H., et al. 2020, MNRAS, 499, 1587 [Google Scholar]
  79. Schuldt, S., Suyu, S. H., Cañameras, R., et al. 2021, A&A, 651, A55 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  80. Simonyan, K., & Zisserman, A. 2014, ArXiv e-prints [arXiv:1409.1556] [Google Scholar]
  81. Soo, J. Y. H., Moraes, B., Joachimi, B., et al. 2018, MNRAS, 475, 3613 [NASA ADS] [CrossRef] [Google Scholar]
  82. Sutherland, W., Emerson, J., Dalton, G., et al. 2015, A&A, 575, A25 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  83. Szokoly, G. P., Bergeron, J., Hasinger, G., et al. 2004, ApJS, 155, 271 [NASA ADS] [CrossRef] [Google Scholar]
  84. The Dark Energy Survey Collaboration 2005, ArXiv e-prints [arXiv:astro-ph/0510346] [Google Scholar]
  85. Tohill, C., Ferreira, L., Conselice, C. J., Bamford, S. P., & Ferrari, F. 2021, ApJ, 916, 4 [NASA ADS] [CrossRef] [Google Scholar]
  86. Tortora, C., & Napolitano, N. R. 2022, Front. Astron. Space Sci., 8, 197 [NASA ADS] [CrossRef] [Google Scholar]
  87. van den Busch, J. L., Hildebrandt, H., Wright, A. H., et al. 2020, A&A, 642, A200 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  88. Walmsley, M., Smith, L., Lintott, C., et al. 2020, MNRAS, 491, 1554 [Google Scholar]
  89. Wang, Y., Bahcall, N., & Turner, E. L. 1998, AJ, 116, 2081 [NASA ADS] [CrossRef] [Google Scholar]
  90. Wang, G.-J., Cheng, C., Ma, Y.-Z., & Xia, J.-Q. 2022, ApJS, 262, 1 [Google Scholar]
  91. Weinberg, D. H., Mortonson, M. J., Eisenstein, D. J., et al. 2013, Phys. Rep., 530, 87 [Google Scholar]
  92. Yang, X., Mo, H. J., van den Bosch, F. C., Zhang, Y., & Han, J. 2012, ApJ, 752, 41 [NASA ADS] [CrossRef] [Google Scholar]
  93. Zhan, H. 2018, in 42nd COSPAR Scientific Assembly, E1.16-4-18 [Google Scholar]
  94. Zhou, X., Gong, Y., Meng, X.-M., et al. 2022, MNRAS, 512, 4593 [NASA ADS] [CrossRef] [Google Scholar]

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