EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues Volume 711 (July 2026) A&A, 711 (2026) A18 References
Issue
A&A
Volume 711, July 2026
Euclid Quick Data Release (Q1)
Article Number A18
Number of page(s) 21
Section Extragalactic astronomy
DOI https://doi.org/10.1051/0004-6361/202554583
Published online 30 June 2026
  1. Aird, J., Coil, A. L., Moustakas, J., et al. 2012, ApJ, 746, 90 [CrossRef] [Google Scholar]
  2. Aird, J., Coil, A. L., & Georgakakis, A. 2018, MNRAS, 474, 1225 [NASA ADS] [CrossRef] [Google Scholar]
  3. Aird, J., Coil, A. L., & Kocevski, D. D. 2022, MNRAS, 515, 4860 [NASA ADS] [CrossRef] [Google Scholar]
  4. Antonucci, R. 1993, ARA&A, 31, 473 [Google Scholar]
  5. Assef, R. J., Prieto, J. L., Stern, D., et al. 2018, ApJ, 866, 26 [NASA ADS] [CrossRef] [Google Scholar]
  6. Azadi, M., Coil, A. L., Aird, J., et al. 2017, ApJ, 835, 27 [NASA ADS] [CrossRef] [Google Scholar]
  7. Beifiori, A., Courteau, S., Corsini, E. M., & Zhu, Y. 2012, MNRAS, 419, 2497 [NASA ADS] [CrossRef] [Google Scholar]
  8. Bianchi, S., Mainieri, V., & Padovani, P. 2022, in Handbook of X-ray and Gamma-ray Astrophysics, eds. C. Bambi, & A. Santangelo (Singapore: Springer Nature Singapore), 1 [Google Scholar]
  9. Bradley, L., Sipőcz, B., Robitaille, T., et al. 2024, https://doi.org/10.5281/zenodo.10967176 [Google Scholar]
  10. Brinchmann, J., Charlot, S., White, S. D. M., et al. 2004, MNRAS, 351, 1151 [Google Scholar]
  11. Bruzual, G., & Charlot, S. 2003, MNRAS, 344, 1000 [NASA ADS] [CrossRef] [Google Scholar]
  12. Carraro, R., Rodighiero, G., Cassata, P., et al. 2020, A&A, 642, A65 [EDP Sciences] [Google Scholar]
  13. Cid Fernandes, R., Stasińska, G., Schlickmann, M. S., et al. 2010, MNRAS, 403, 1036 [Google Scholar]
  14. Cropper, M., Pottinger, S., Niemi, S., et al. 2016, SPIE Conf. Ser., 9904, 99040Q [NASA ADS] [Google Scholar]
  15. DESI Collaboration (Adame, A. G., et al.) 2024, AJ, 168, 58 [NASA ADS] [CrossRef] [Google Scholar]
  16. Dosovitskiy, A., Beyer, L., Kolesnikov, A., et al. 2021, ArXiv e-prints [arXiv:22010.11929] [Google Scholar]
  17. Elbaz, D., Daddi, E., Le Borgne, D., et al. 2007, A&A, 468, 33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  18. Euclid Collaboration (Cropper, M., et al.) 2025, A&A, 697, A2 [Google Scholar]
  19. Euclid Collaboration (Jahnke, K., et al.) 2025, A&A, 697, A3 [Google Scholar]
  20. Euclid Collaboration (Mellier, Y., et al.) 2025, A&A, 697, A1 [Google Scholar]
  21. Euclid Collaboration (Aussel, H., et al.) 2026, A&A, 711, A1 (Euclid Q1 SI) [Google Scholar]
  22. Euclid Collaboration (Enia, A., et al.) 2026, A&A, 711, A14 (Euclid Q1 SI) [Google Scholar]
  23. Euclid Collaboration (Matamoro Zatarain, T., et al.) 2026, A&A, 711, A20 (Euclid Q1 SI) [Google Scholar]
  24. Euclid Collaboration (McCracken, H. J., et al.) 2026, A&A, 711, A2 (Euclid Q1 SI) [Google Scholar]
  25. Euclid Collaboration (Polenta, G., et al.) 2026, A&A, 711, A3 (Euclid Q1 SI) [Google Scholar]
  26. Euclid Collaboration (Romelli, E., et al.) 2026, A&A, 711, A4 (Euclid Q1 SI) [Google Scholar]
  27. Euclid Collaboration (Roster, W., et al.) 2026, A&A, 711, A16 (Euclid Q1 SI) [Google Scholar]
  28. Euclid Collaboration (Tucci, M., et al.) 2026, A&A, 711, A5 (Euclid Q1 SI) [Google Scholar]
  29. Euclid Quick Release Q1. 2025, https://doi.org/10.57780/esa-2853f3b [Google Scholar]
  30. Evans, I. N., Evans, J. D., Martínez-Galarza, J. R., et al. 2024, ApJS, 274, 22 [NASA ADS] [CrossRef] [Google Scholar]
  31. Ghosh, A., Urry, C. M., Mishra, A., et al. 2023, ApJ, 953, 134 [Google Scholar]
  32. Graham, A. W., & Scott, N. 2013, ApJ, 764, 151 [Google Scholar]
  33. Greene, J. E., Strader, J., & Ho, L. C. 2020, ARA&A, 58, 257 [Google Scholar]
  34. Guetzoyan, P., Aird, J., Georgakakis, A., et al. 2025, MNRAS, 536, 79 [Google Scholar]
  35. Gültekin, K., Richstone, D. O., Gebhardt, K., et al. 2009, ApJ, 698, 198 [Google Scholar]
  36. Hickox, R. C., & Alexander, D. M. 2018, ARA&A, 56, 625 [Google Scholar]
  37. Kormendy, J., & Ho, L. C. 2013, ARA&A, 51, 511 [Google Scholar]
  38. Lamareille, F. 2010, A&A, 509, A53 [CrossRef] [EDP Sciences] [Google Scholar]
  39. Läsker, R., Ferrarese, L., van de Ven, G., & Shankar, F. 2014, ApJ, 780, 70 [Google Scholar]
  40. Laureijs, R., Amiaux, J., Arduini, S., et al. 2011, ArXiv e-prints [arXiv:1110.3193] [Google Scholar]
  41. Li, J., Silverman, J. D., Ding, X., et al. 2021, ApJ, 918, 22 [NASA ADS] [CrossRef] [Google Scholar]
  42. Lintott, C. J., Schawinski, K., Slosar, A., et al. 2008, MNRAS, 389, 1179 [NASA ADS] [CrossRef] [Google Scholar]
  43. Liu, D., Schinnerer, E., Groves, B., et al. 2019, ApJ, 887, 235 [Google Scholar]
  44. Liu, Z., Mao, H., Wu, C.-Y., et al. 2022, in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Los Alamitos, CA (USA: IEEE Computer Society)), 11966 [Google Scholar]
  45. Lu, J., Behbood, V., Hao, P., et al. 2015, Know.-Based Syst., 80, 14 [Google Scholar]
  46. Mainzer, A., Bauer, J., Grav, T., et al. 2011, ApJ, 731, 53 [Google Scholar]
  47. Margalef-Bentabol, B., Wang, L., La Marca, A., & Rodriguez-Gomez, V. 2026, A&A, 706, A304 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  48. Marinacci, F., Vogelsberger, M., Pakmor, R., et al. 2018, MNRAS, 480, 5113 [NASA ADS] [Google Scholar]
  49. Martin, G., Bazkiaei, A. E., Spavone, M., et al. 2022, MNRAS, 513, 1459 [NASA ADS] [CrossRef] [Google Scholar]
  50. McConnell, N. J., & Ma, C.-P. 2013, ApJ, 764, 184 [Google Scholar]
  51. Mendez, A. J., Coil, A. L., Aird, J., et al. 2013, ApJ, 770, 40 [Google Scholar]
  52. Merloni, A., Lamer, G., Liu, T., et al. 2024, A&A, 682, A34 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  53. Mezcua, M., Suh, H., & Civano, F. 2019, MNRAS, 488, 685 [Google Scholar]
  54. Moustakas, J., Scholte, D., Dey, B., & Khederlarian, A. 2023, Astrophysics Source Code Library [record ascl:2308.005] [Google Scholar]
  55. Mullaney, J. R., Daddi, E., Béthermin, M., et al. 2012, ApJ, 753, L30 [Google Scholar]
  56. Naiman, J. P., Pillepich, A., Springel, V., et al. 2018, MNRAS, 477, 1206 [Google Scholar]
  57. Navarro, V., Del Rio, S., Diego, M. A., et al. 2024, in Space Data Management, ed. A. Cortesi (Singapore: Springer Nature Singapore), 141, 1 [Google Scholar]
  58. Nelson, D., Pillepich, A., Springel, V., et al. 2018, MNRAS, 475, 624 [Google Scholar]
  59. Nelson, D., Springel, V., Pillepich, A., et al. 2019, Comput. Astrophys. Cosmol., 6, 2 [Google Scholar]
  60. Omori, K. C., Bottrell, C., Walmsley, M., et al. 2023, A&A, 679, A142 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  61. Padovani, P., Alexander, D. M., Assef, R. J., et al. 2017, A&ARv, 25, 2 [Google Scholar]
  62. Pearson, W. J., Wang, L., Hurley, P. D., et al. 2018, A&A, 615, A146 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  63. Peng, C. Y., Ho, L. C., Impey, C. D., & Rix, H.-W. 2002, AJ, 124, 266 [Google Scholar]
  64. Pillepich, A., Springel, V., Nelson, D., et al. 2018, MNRAS, 473, 4077 [Google Scholar]
  65. Planck Collaboration XIII. 2016, A&A, 594, A13 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  66. Popesso, P., Concas, A., Cresci, G., et al. 2023, MNRAS, 519, 1526 [Google Scholar]
  67. Predehl, P., Andritschke, R., Arefiev, V., et al. 2021, A&A, 647, A1 [EDP Sciences] [Google Scholar]
  68. Ribeiro, B., Le Fèvre, O., Tasca, L. A. M., et al. 2016, A&A, 593, A22 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  69. Rodighiero, G., Brusa, M., Daddi, E., et al. 2015, ApJ, 800, L10 [Google Scholar]
  70. Rodriguez-Gomez, V., Snyder, G. F., Lotz, J. M., et al. 2019, MNRAS, 483, 4140 [NASA ADS] [CrossRef] [Google Scholar]
  71. Sabater, J., Best, P. N., Hardcastle, M. J., et al. 2019, A&A, 622, A17 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  72. Scoville, N., Lee, N., Vanden Bout, P., et al. 2017, ApJ, 837, 150 [Google Scholar]
  73. Shankar, F., Bernardi, M., Sheth, R. K., et al. 2016, MNRAS, 460, 3119 [NASA ADS] [CrossRef] [Google Scholar]
  74. Shen, X., Hopkins, P. F., Faucher-Giguère, C.-A., et al. 2020, MNRAS, 495, 3252 [Google Scholar]
  75. Simmons, B. D., Lintott, C., Willett, K. W., et al. 2017, MNRAS, 464, 4420 [Google Scholar]
  76. Siudek, M., Pucha, R., Mezcua, M., et al. 2024, A&A, 691, A308 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  77. Speagle, J. S., Steinhardt, C. L., Capak, P. L., & Silverman, J. D. 2014, ApJS, 214, 15 [Google Scholar]
  78. Springel, V., Pakmor, R., Pillepich, A., et al. 2018, MNRAS, 475, 676 [Google Scholar]
  79. Tacconi, L. J., Genzel, R., & Sternberg, A. 2020, ARA&A, 58, 157 [NASA ADS] [CrossRef] [Google Scholar]
  80. Toba, Y., Liu, T., Urrutia, T., et al. 2022, A&A, 661, A15 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  81. Ueda, Y., Akiyama, M., Ohta, K., & Miyaji, T. 2003, ApJ, 598, 886 [NASA ADS] [CrossRef] [Google Scholar]
  82. Urry, C. M., & Padovani, P. 1995, PASP, 107, 803 [NASA ADS] [CrossRef] [Google Scholar]
  83. van der Wel, A., Franx, M., van Dokkum, P. G., et al. 2014, ApJ, 788, 28 [Google Scholar]
  84. Walmsley, M., Lintott, C., Géron, T., et al. 2022a, MNRAS, 509, 3966 [Google Scholar]
  85. Walmsley, M., Scaife, A. M. M., Lintott, C., et al. 2022b, MNRAS, 513, 1581 [NASA ADS] [CrossRef] [Google Scholar]
  86. Walmsley, M., Allen, C., Aussel, B., et al. 2023, J. Open Source Software, 8, 5312 [NASA ADS] [CrossRef] [Google Scholar]
  87. Wang, T.-M., Magnelli, B., Schinnerer, E., et al. 2022, A&A, 660, A142 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  88. Webb, N. A., Coriat, M., Traulsen, I., et al. 2020, A&A, 641, A136 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  89. Willett, K. W., Lintott, C. J., Bamford, S. P., et al. 2013, MNRAS, 435, 2835 [Google Scholar]
  90. Willett, K. W., Galloway, M. A., Bamford, S. P., et al. 2017, MNRAS, 464, 4176 [NASA ADS] [CrossRef] [Google Scholar]
  91. Wright, E. L., Eisenhardt, P. R. M., Mainzer, A. K., et al. 2010, AJ, 140, 1868 [Google Scholar]
  92. Yang, G., Brandt, W. N., Darvish, B., et al. 2018a, MNRAS, 480, 1022 [NASA ADS] [CrossRef] [Google Scholar]
  93. Yang, G., Brandt, W. N., Vito, F., et al. 2018b, MNRAS, 475, 1887 [NASA ADS] [CrossRef] [Google Scholar]
  94. Zhang, K., & Hao, L. 2018, ApJ, 856, 171 [NASA ADS] [CrossRef] [Google Scholar]
  95. Zhuang, M.-Y., & Ho, L. C. 2023, Nat. Astron., 7, 1376 [NASA ADS] [CrossRef] [Google Scholar]
  96. Zou, F., Yu, Z., Brandt, W. N., et al. 2024, ApJ, 964, 183 [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.