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Home All issues Volume 671 (March 2023) A&A, 671 (2023) A99 References
Open Access
Issue
A&A
Volume 671, March 2023
Article Number A99
Number of page(s) 36
Section Numerical methods and codes
DOI https://doi.org/10.1051/0004-6361/202244307
Published online 14 March 2023
  1. Akeson, R., Armus, L., Bachelet, E., et al. 2019, ArXiv e-prints [arXiv:1902.05569] [Google Scholar]
  2. Alexandroff, R., Strauss, M. A., Greene, J. E., et al. 2013, MNRAS, 435, 3306 [NASA ADS] [CrossRef] [Google Scholar]
  3. Amorín, R., Pérez-Montero, E., Contini, T., et al. 2015, A&A, 578, A105 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  4. Arnouts, S., Walcher, C. J., Le Fèvre, O., et al. 2007, A&A, 476, 137 [CrossRef] [EDP Sciences] [Google Scholar]
  5. Arnouts, S., Le Floc'h, E., Chevallard, J., et al. 2013, A&A, 558, A67 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  6. Baldry, I. K., Glazebrook, K., Brinkmann, J., et al. 2004, ApJ, 600, 681 [Google Scholar]
  7. Baqui, P. O., Marra, V., Casarini, L., et al. 2021, A&A, 645, A87 [EDP Sciences] [Google Scholar]
  8. Belli, S., Newman, A. B., & Ellis, R. S. 2015, ApJ, 799, 206 [NASA ADS] [CrossRef] [Google Scholar]
  9. Bisigello, L., Kuchner, U., Conselice, C. J., et al. 2020, MNRAS, 494, 2337 [NASA ADS] [CrossRef] [Google Scholar]
  10. Bisigello, L., Gruppioni, C., Feltre, A., et al. 2021, A&A, 651, A52 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  11. Bolzonella, M., Miralles, J.-M., & Pelló, R. 2000, A&A, 363, 476 [Google Scholar]
  12. Bonjean, V., Aghanim, N., Salomé, P., et al. 2019, A&A, 622, A137 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  13. Bowles, M., Scaife, A. M. M., Porter, F., Tang, H., & Bastien, D. J. 2021, MNRAS, 501, 4579 [CrossRef] [Google Scholar]
  14. Breiman, L. 2001, Mach. Learn., 45, 1 [Google Scholar]
  15. Brescia, M., Cavuoti, S., D'Abrusco, R., Longo, G., & Mercurio, A. 2013, ApJ, 772, 140 [NASA ADS] [CrossRef] [Google Scholar]
  16. Bretonnière, H., Boucaud, A., & Huertas-Company, M. 2021, ArXiv e-prints [arXiv:2111.15455] [Google Scholar]
  17. Bruzual, G., & Charlot, S. 2003, MNRAS, 344, 1000 [NASA ADS] [CrossRef] [Google Scholar]
  18. Calzetti, D., Armus, L., Bohlin, R. C., et al. 2000, ApJ, 533, 682 [NASA ADS] [CrossRef] [Google Scholar]
  19. Cavuoti, S., Brescia, M., D'Abrusco, R., Longo, G., & Paolillo, M. 2014, MNRAS, 437, 968 [NASA ADS] [CrossRef] [Google Scholar]
  20. Cavuoti, S., Tortora, C., Brescia, M., et al. 2017, MNRAS, 466, 2039 [Google Scholar]
  21. Cecchi, R., Bolzonella, M., Cimatti, A., & Girelli, G. 2019, ApJ, 880, L14 [NASA ADS] [CrossRef] [Google Scholar]
  22. Chambers, K., Unions Team Including Pan-Starrs Team, & Cfis Team 2020, Bull. Am. Astron. Soc., 52, 1 [Google Scholar]
  23. Chen, T., & Guestrin, C., 2016, KDD '16: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 785 [CrossRef] [Google Scholar]
  24. Cirasuolo, M., Fairley, A., Rees, P., et al. 2020, The Messenger, 180, 10 [NASA ADS] [Google Scholar]
  25. Clarke, A. O., Scaife, A. M. M., Greenhalgh, R., & Griguta, V. 2020, A&A, 639, A84 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  26. Collister, A. A., & Lahav, O. 2004, PASP, 116, 345 [NASA ADS] [CrossRef] [Google Scholar]
  27. Cropper, M., Pottinger, S., Niemi, S., et al. 2016, Proc. SPIE, 9904, 99040Q [Google Scholar]
  28. Cunha, P. A. C., & Humphrey, A. 2022, A&A, 666, A87 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  29. Daddi, E., Cimatti, A., Renzini, A., et al. 2004, ApJ, 617, 746 [NASA ADS] [CrossRef] [Google Scholar]
  30. Delli Veneri, M., Cavuoti, S., Brescia, M., Longo, G., & Riccio, G. 2019, MNRAS, 486, 1377 [Google Scholar]
  31. Deshmukh, S., Caputi, K. I., Ashby, M. L. N., et al. 2018, ApJ, 864, 166 [NASA ADS] [CrossRef] [Google Scholar]
  32. Dewdney, P. E., Hall, P. J., Schilizzi, R. T., & Lazio, T. J. L. W. 2009, IEEE Proc., 97, 1482 [Google Scholar]
  33. Dey, A., Schlegel, D. J., Lang, D., et al. 2019, AJ, 157, 168 [Google Scholar]
  34. Dice, L. R., 1945, Ecology, 26, 297 [CrossRef] [Google Scholar]
  35. Dieleman, S., Willett, K. W., & Dambre, J. 2015, MNRAS, 450, 1441 [NASA ADS] [CrossRef] [Google Scholar]
  36. Domínguez Sánchez, H., Huertas-Company, M., Bernardi, M., et al. 2018, MNRAS, 476, 3661 [CrossRef] [Google Scholar]
  37. Euclid Collaboration (Desprez, G., et al.) 2020, A&A, 644, A31 [EDP Sciences] [Google Scholar]
  38. Euclid Collaboration (Scaramella, R., et al.) 2022a, A&A, 662, A112 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  39. Euclid Collaboration (Moneti, A., et al.) 2022b, A&A, 658, A126 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  40. Euclid Collaboration (Schirmer, M., et al.) 2022c, A&A, 662, A92 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  41. Fang, J. J., Faber, S. M., Koo, D. C., et al. 2018, ApJ, 858, 100 [NASA ADS] [CrossRef] [Google Scholar]
  42. Fotopoulou, S., & Paltani, S. 2018, A&A, 619, A14 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  43. Fotopoulou, S., Salvato, M., Hasinger, G., et al. 2012, ApJS, 198, 1 [Google Scholar]
  44. Fumagalli, M., Labbé, I., Patel, S. G., et al. 2014, ApJ, 796, 35 [Google Scholar]
  45. Girelli, G., Bolzonella, M., & Cimatti, A. 2019, A&A, 632, A80 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  46. Glazebrook, K., Schreiber, C., Labbé, I., et al. 2017, Nature, 544, 71 [Google Scholar]
  47. Gomes, J. M., & Papaderos, P. 2017, A&A, 603, A63 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  48. Guarneri, F., Calderone, G., Cristiani, S., et al. 2021, MNRAS, 506, 2471 [NASA ADS] [CrossRef] [Google Scholar]
  49. Guiglion, G., Battistini, C., Bell, C. P. M., et al. 2019, The Messenger, 175, 17 [NASA ADS] [Google Scholar]
  50. Gunn, J. E., Carr, M., Rockosi, C., et al. 1998, AJ, 116, 3040 [NASA ADS] [CrossRef] [Google Scholar]
  51. Haro, G. 1956, Bol. Observ. Tonantz. Tacubaya, 2, 8 [Google Scholar]
  52. Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357 [NASA ADS] [CrossRef] [Google Scholar]
  53. Huertas-Company, M., Gravet, R., Cabrera-Vives, G., et al. 2015, ApJS, 221, 8 [NASA ADS] [CrossRef] [Google Scholar]
  54. Humphrey, A., Cunha, P. A. C., Paulino-Afonso, A., et al. 2023, MNRAS, 520, 305 [NASA ADS] [CrossRef] [Google Scholar]
  55. Ilbert, O., Arnouts, S., McCracken, H. J., et al. 2006, A&A, 457, 841 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  56. Ilbert, O., Salvato, M., Le Floc'h, E., et al. 2010, ApJ, 709, 644 [NASA ADS] [CrossRef] [Google Scholar]
  57. Ilbert, O., McCracken, H. J., Le Fèvre, O., et al. 2013, A&A, 556, A55 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  58. Ivezic, Ž., Kahn, S. M., Tyson, J. A., et al. 2019, ApJ, 873, 111 [NASA ADS] [CrossRef] [Google Scholar]
  59. Kauffmann, G., Heckman, T. M., White, S. D. M., et al. 2003, MNRAS, 341, 33 [Google Scholar]
  60. Ke, G., Meng, Q., Finley, T., et al. 2017, Adv. Neural Inform. Process. Syst., 30, 3146 [Google Scholar]
  61. Laigle, C., McCracken, H. J., Ilbert, O., et al. 2016, ApJS, 224, 24 [Google Scholar]
  62. Laureijs, R., Amiaux, J., Arduini, S., et al. 2011, ArXiv e-prints [arXiv:1110.3193] [Google Scholar]
  63. Lee, D. 2013, ICML Workshop: Challenges in Representation Learning (WREPL), Atlanta, Georgia, USA [Google Scholar]
  64. Leja, J., Tacchella, S., & Conroy, C. 2019, ApJ, 880, L9 [NASA ADS] [CrossRef] [Google Scholar]
  65. Logan, C. H. A., & Fotopoulou, S. 2020, A&A, 633, A154 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  66. Maciaszek, T., Ealet, A., Jahnke, K., et al. 2016, Proc. SPIE, 9904, 99040T [NASA ADS] [CrossRef] [Google Scholar]
  67. McKinney, W., 2010, in Proceedings of the 9th Python in Science Conference, 51 [Google Scholar]
  68. Moresco, M., Pozzetti, L., Cimatti, A., et al. 2013, A&A, 558, A61 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  69. Mucesh, S., Hartley, W. G., Palmese, A., et al. 2021, MNRAS, 502, 2770 [NASA ADS] [CrossRef] [Google Scholar]
  70. Muzzin, A., Marchesini, D., Stefanon, M., et al. 2013, ApJS, 206, 8 [Google Scholar]
  71. Nolte, A., Wang, L., Bilicki, M., Holwerda, B., & Biehl, M. 2019, Neurocomputing 342, 172 [CrossRef] [Google Scholar]
  72. Odewahn, S. C., Humphreys, R. M., Aldering, G., & Thurmes, P. 1993, PASP, 105, 1354 [NASA ADS] [CrossRef] [Google Scholar]
  73. Pasquet, J., Bertin, E., Treyer, M., et al. 2019, A&A, 621, A26 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  74. Pedregosa, F., et al., 2011, J. Mach. Learn. Res., 12, 2825 [Google Scholar]
  75. Predehl, P., Andritschke, R., Arefiev, V., et al. 2021, A&A, 647, A1 [EDP Sciences] [Google Scholar]
  76. Prokhorenkova, L., Gusev, G., Vorobev, A., Dorogush, A. V., & Gulin, A., 2018, Adv. Neural Inform. Process. Syst., 31, 6638 [Google Scholar]
  77. Razim, O., Cavuoti, S., Brescia, M., et al. 2021, MNRAS, 507, 5034 [NASA ADS] [CrossRef] [Google Scholar]
  78. Rocklin, M. 2015, in Proceedings of the 14th Python in Science Conference, 130 [Google Scholar]
  79. Schreiber, C., Glazebrook, K., Nanayakkara, T., et al. 2018, A&A, 618, A85 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  80. Shahidi, A., Mobasher, B., Nayyeri, H., et al. 2020, ApJ, 897, 44 [NASA ADS] [CrossRef] [Google Scholar]
  81. Simet, M., Chartab, N., Lu, Y., & Mobasher, B. 2021, ApJ, 908, 47 [NASA ADS] [CrossRef] [Google Scholar]
  82. Singal, J., Silverman, G., Jones, E., et al. 2022, ApJ, 928, 6 [NASA ADS] [CrossRef] [Google Scholar]
  83. Sørensen, T. 1948, Kongelige Danske Videnskabernes Selskab, 5, 1 [Google Scholar]
  84. Steinhardt, C. L., Weaver, J. R., Maxfield, J., et al. 2020, ApJ, 891, 136 [NASA ADS] [CrossRef] [Google Scholar]
  85. Strateva, I., Ivezic, Ž., Knapp, G. R., et al. 2001, AJ, 122, 1861 [CrossRef] [Google Scholar]
  86. Taylor, W., Cirasuolo, M., Afonso, J., et al. 2018, Proc. SPIE, 10702, 107021G [NASA ADS] [Google Scholar]
  87. Tuccillo, D., Huertas-Company, M., Decencière, E., et al. 2018, MNRAS, 475, 894 [NASA ADS] [CrossRef] [Google Scholar]
  88. Ulmer-Moll, S., Santos, N. C., Figueira, P., Brinchmann, J., & Faria, J. P. 2019, A&A, 630, A135 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  89. van der Maaten, L. 2014, J. Mach. Learn. Res., 15, 3221 [Google Scholar]
  90. van der Maaten, L., & Hinton, G. 2008, J. Mach. Learn. Res., 9, 2579 [Google Scholar]
  91. van der Wel, A., Franx, M., van Dokkum, P. G., et al. 2014, ApJ, 788, 28 [Google Scholar]
  92. Virtanen, P., Gommers, R., Oliphant, T. E., et al. 2020, Nat. Methods, 17, 261 [Google Scholar]
  93. Whitaker, K. E., Labbé, I., van Dokkum, P. G., et al. 2011, ApJ, 735, 86 [Google Scholar]
  94. Wiklind, T., Dickinson, M., Ferguson, H. C., et al. 2008, ApJ, 676, 781 [NASA ADS] [CrossRef] [Google Scholar]
  95. Williams, R. J., Quadri, R. F., Franx, M., van Dokkum, P., & Labbé, I. 2009, ApJ, 691, 1879 [NASA ADS] [CrossRef] [Google Scholar]
  96. Wolpert, D. H., 1992, Neural Netw., 5, 241 [CrossRef] [Google Scholar]
  97. Worthey, G. 1994, ApJS, 95, 107 [Google Scholar]
  98. Wright, E. L., Eisenhardt, P. R. M., Mainzer, A. K., et al. 2010, AJ, 140, 1868 [Google Scholar]
  99. Wu, P.-F., van der Wel, A., Gallazzi, A., et al. 2018, ApJ, 855, 85 [Google Scholar]
  100. Wuyts, S., Labbé, I., Franx, M., et al. 2007, ApJ, 655, 51 [NASA ADS] [CrossRef] [Google Scholar]
  101. York, D. G., Adelman, J., Anderson, J. E., et al. 2000, AJ, 120, 1579 [Google Scholar]
  102. Zitlau, R., Hoyle, B., Paech, K., et al. 2016, MNRAS, 460, 3152 [NASA ADS] [CrossRef] [Google Scholar]

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