EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues Volume 685 (May 2024) A&A, 685 (2024) A127 References
Open Access
Issue
A&A
Volume 685, May 2024
Article Number A127
Number of page(s) 18
Section Extragalactic astronomy
DOI https://doi.org/10.1051/0004-6361/202348737
Published online 17 May 2024
  1. Abdalla, F. B., Banerji, M., Lahav, O., & Rashkov, V. 2011, MNRAS, 417, 1891 [NASA ADS] [CrossRef] [Google Scholar]
  2. Algera, H. S. B., Inami, H., Oesch, P. A., et al. 2023, MNRAS, 518, 6142 [Google Scholar]
  3. Arnouts, S., & Ilbert, O. 2011, Astrophysics Source Code Library [record ascl:1108.009] [Google Scholar]
  4. Ball, N. M., Brunner, R. J., Myers, A. D., et al. 2008, ApJ, 683, 12 [NASA ADS] [CrossRef] [Google Scholar]
  5. Barro, G., P\’{e}rez-Gonz\’{a}lez, P. G., Kocevski, D. D., et al. 2024, ApJ, 963, 128 [CrossRef] [Google Scholar]
  6. Barrufet, L., Oesch, P. A., Bouwens, R., et al. 2023a, MNRAS, 522, 3926 [NASA ADS] [CrossRef] [Google Scholar]
  7. Barrufet, L., Oesch, P. A., Weibel, A., et al. 2023b, MNRAS, 522, 449 [NASA ADS] [CrossRef] [Google Scholar]
  8. Benitez, N. 2000, ApJ, 536, 571 [CrossRef] [Google Scholar]
  9. Bian, F., Fan, X., Jiang, L., et al. 2013, ApJ, 774, 28 [Google Scholar]
  10. Bianchi, S., De Vis, P., Viaene, S., et al. 2018, A&A, 620, A112 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  11. Bisigello, L., Kuchner, U., Conselice, C. J., et al. 2020, MNRAS, 494, 2337 [NASA ADS] [CrossRef] [Google Scholar]
  12. Bisigello, L., Gruppioni, C., Calura, F., et al. 2021, PASA, 38, e064 [NASA ADS] [CrossRef] [Google Scholar]
  13. Bisigello, L., Vallini, L., Gruppioni, C., et al. 2022, A&A, 666, A193 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  14. Bisigello, L., Gandolfi, G., Grazian, A., et al. 2023, A&A, 676, A76 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  15. Boogaard, L. A., Decarli, R., Walter, F., et al. 2023, ApJ, 945, 111 [NASA ADS] [CrossRef] [Google Scholar]
  16. Brandt, W. N., Ni, Q., Yang, G., et al. 2018, ArXiv e-prints [arXiv:1811.06542] [Google Scholar]
  17. Burrows, A., Sudarsky, D., & Hubeny, I. 2006, ApJ, 640, 1063 [Google Scholar]
  18. Capak, P., Arendt, R., Arnouts, S., et al. 2016, Spitzer Proposal ID 13058, https://ui.adsabs.harvard.edu/abs/2016sptz.prop13058C [Google Scholar]
  19. Caputi, K. I., Caminha, G. B., Fujimoto, S., et al. 2021, ApJ, 908, 146 [NASA ADS] [CrossRef] [Google Scholar]
  20. Casey, C. M., Kartaltepe, J. S., Drakos, N. E., et al. 2023, ApJ, 954, 31 [NASA ADS] [CrossRef] [Google Scholar]
  21. Chen, T., & Guestrin, C. 2016, ArXiv e-prints [arXiv:1603.02754] [Google Scholar]
  22. Cropper, M., Pottinger, S., Niemi, S., et al. 2016, SPIE Conf. Ser., 9904, 99040Q [NASA ADS] [Google Scholar]
  23. Daddi, E., Dannerbauer, H., Stern, D., et al. 2009, ApJ, 694, 1517 [Google Scholar]
  24. Enia, A., Talia, M., Pozzi, F., et al. 2022, ApJ, 927, 204 [NASA ADS] [CrossRef] [Google Scholar]
  25. Euclid Collaboration (Desprez, G., et al.) 2020, A&A, 644, A31 [EDP Sciences] [Google Scholar]
  26. Euclid Collaboration (Scaramella, R., et al.) 2022a, A&A, 662, A112 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  27. Euclid Collaboration (Moneti, A., et al.) 2022b, A&A, 658, A126 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  28. Euclid Collaboration (van Mierlo, S. E., et al.) 2022c, A&A, 666, A200 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  29. Euclid Collaboration (Schirmer, M., et al.) 2022d, A&A, 662, A92 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  30. Euclid Collaboration (Humphrey, A., et al.) 2023a, A&A, 671, A99 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  31. Euclid Collaboration (Bisigello, L., et al.) 2023b, MNRAS, 520, 3529 [NASA ADS] [CrossRef] [Google Scholar]
  32. Fazio, G. G., Hora, J. L., Allen, L. E., et al. 2004, ApJS, 154, 10 [Google Scholar]
  33. Foley, R. J., Koekemoer, A. M., Spergel, D. N., et al. 2018, ArXiv e-prints [arXiv:1812.00514] [Google Scholar]
  34. Frayer, D. T., Smail, I., Ivison, R. J., & Scoville, N. Z. 2000, AJ, 120, 1668 [NASA ADS] [CrossRef] [Google Scholar]
  35. Fujimoto, S., Kohno, K., Ouchi, M., et al. 2023, ApJS, submitted [arXiv:2303.01658] [Google Scholar]
  36. Girelli, G., Pozzetti, L., Bolzonella, M., et al. 2020, A&A, 634, A135 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  37. Gruppioni, C., Pozzi, F., Andreani, P., et al. 2010, A&A, 518, L27 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  38. Gruppioni, C., Pozzi, F., Rodighiero, G., et al. 2013, MNRAS, 432, 23 [Google Scholar]
  39. Gruppioni, C., Béthermin, M., Loiacono, F., et al. 2020, A&A, 643, A8 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  40. Huang, J. S., Rigopoulou, D., Magdis, G., et al. 2014, ApJ, 784, 52 [Google Scholar]
  41. Ibata, R. A., McConnachie, A., Cuillandre, J.-C., et al. 2017, ApJ, 848, 128 [Google Scholar]
  42. Ilbert, O., Capak, P., Salvato, M., et al. 2009, ApJ, 690, 1236 [NASA ADS] [CrossRef] [Google Scholar]
  43. Ivezić, Z., Kahn, S. M., Tyson, J. A., et al. 2019, ApJ, 873, 111 [NASA ADS] [CrossRef] [Google Scholar]
  44. Ke, G., Meng, Q., Finely, T., et al. 2017, Advances in Neural Information Processing Systems 30 (NIP 2017) [Google Scholar]
  45. Laigle, C., McCracken, H. J., Ilbert, O., et al. 2016, ApJS, 224, 24 [Google Scholar]
  46. Laureijs, R., Amiaux, J., Arduini, S., et al. 2011, ArXiv e-prints [arXiv:1110.3193] [Google Scholar]
  47. Liu, R. H., Hill, R., Scott, D., et al. 2019, MNRAS, 489, 1770 [NASA ADS] [CrossRef] [Google Scholar]
  48. Loiacono, F., Decarli, R., Gruppioni, C., et al. 2021, A&A, 646, A76 [EDP Sciences] [Google Scholar]
  49. Lundberg, S. M., Erion, G., Chen, H., et al. 2020, Nat. Mach. Intell., 2, 2522 [Google Scholar]
  50. Madau, P., & Dickinson, M. 2014, ARA&A, 52, 415 [Google Scholar]
  51. Masters, D. C., Stern, D. K., Cohen, J. G., et al. 2019, ApJ, 877, 81 [Google Scholar]
  52. McCracken, H. J., Milvang-Jensen, B., Dunlop, J., et al. 2012, A&A, 544, A156 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  53. Novak, M., Smolč ić, V., Delhaize, J., et al. 2017, A&A, 602, A5 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  54. Oke, J. B., & Gunn, J. E. 1983, ApJ, 266, 713 [NASA ADS] [CrossRef] [Google Scholar]
  55. Pafka, S. 2015, Benchmarking Random Forest Implementations, https://www.r-bloggers.com/2015/05/benchmarking-random-forest-implementations/">http://www.w3.org/1999/xlink">https://www.r-bloggers.com/2015/05/benchmarking-random-forest-implementations/ [Google Scholar]
  56. Pasquet, J., Bertin, E., Treyer, M., Arnouts, S., & Fouchez, D. 2019, A&A, 621, A26 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  57. Pérez-González, P. G., Barro, G., Annunziatella, M., et al. 2023, ApJ, 946, L16 [CrossRef] [Google Scholar]
  58. Polletta, M., Tajer, M., Maraschi, L., et al. 2007, ApJ, 663, 81 [NASA ADS] [CrossRef] [Google Scholar]
  59. Prokhorenkova, L., Gusev, G., Vorobev, A., Veronika Dorogush, A., & Gulin, A. 2017, ArXiv e-prints [arXiv:1706.09516] [Google Scholar]
  60. Riechers, D. A., Pavesi, R., Sharon, C. E., et al. 2019, ApJ, 872, 7 [Google Scholar]
  61. Rieke, G. H., Alonso-Herrero, A., Weiner, B. J., et al. 2009, ApJ, 692, 556 [NASA ADS] [CrossRef] [Google Scholar]
  62. Rodighiero, G., Bisigello, L., Iani, E., et al. 2023, MNRAS, 518, L19 [Google Scholar]
  63. Scoville, N., Aussel, H., Brusa, M., et al. 2007, ApJS, 172, 1 [Google Scholar]
  64. Smail, I., Dudzevičiūt\.{e}, U., Stach, S. M., et al. 2021, MNRAS, 502, 3426 [NASA ADS] [CrossRef] [Google Scholar]
  65. Sun, F., Egami, E., Pérez-González, P. G., et al. 2021, ApJ, 922, 114 [NASA ADS] [CrossRef] [Google Scholar]
  66. Talia, M., Cimatti, A., Giulietti, M., et al. 2021, ApJ, 909, 23 [NASA ADS] [CrossRef] [Google Scholar]
  67. Topping, M. W., Stark, D. P., Endsley, R., et al. 2022, MNRAS, 516, 975 [NASA ADS] [CrossRef] [Google Scholar]
  68. van Dokkum, P. G., Quadri, R., Marchesini, D., et al. 2006, ApJ, 638, L59 [NASA ADS] [CrossRef] [Google Scholar]
  69. Wang, T., Elbaz, D., Schreiber, C., et al. 2016, ApJ, 816, 84 [Google Scholar]
  70. Wang, T., Schreiber, C., Elbaz, D., et al. 2019, Nature, 572, 211 [Google Scholar]
  71. Weaver, J. R., Kauffmann, O. B., Ilbert, O., et al. 2022, ApJS, 258, 11 [NASA ADS] [CrossRef] [Google Scholar]
  72. Williams, C. C., Labbe, I., Spilker, J., et al. 2019, ApJ, 884, 154 [Google Scholar]
  73. Xiao, M. Y., Elbaz, D., Gómez-Guijarro, C., et al. 2023, A&A, 672, A18 [NASA ADS] [CrossRef] [EDP Sciences] [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.