Open Access
Issue
A&A
Volume 684, April 2024
Article Number A61
Number of page(s) 14
Section Numerical methods and codes
DOI https://doi.org/10.1051/0004-6361/202348513
Published online 04 April 2024
  1. Ahumada, R., Allende Prieto, C., Almeida, A., et al. 2020, ApJS, 249, 3 [NASA ADS] [CrossRef] [Google Scholar]
  2. Aihara, H., Arimoto, N., Armstrong, R., et al. 2018, PASJ, 70, S4 [NASA ADS] [Google Scholar]
  3. Aihara, H., AlSayyad, Y., Ando, M., et al. 2022, PASJ, 74, 247 [NASA ADS] [CrossRef] [Google Scholar]
  4. Alarcon, A., Gaztanaga, E., Eriksen, M., et al. 2021, MNRAS, 501, 6103 [NASA ADS] [CrossRef] [Google Scholar]
  5. Angulo, R. E., Baugh, C. M., Frenk, C. S., et al. 2008, MNRAS, 383, 755 [Google Scholar]
  6. Arnouts, S., & Ilbert, O. 2011, Astrophysics Source Code Library [record ascl:1108.009] [Google Scholar]
  7. Barro, G., Pérez-González, P. G., Cava, A., et al. 2019, ApJSS, 243, 22 [NASA ADS] [CrossRef] [Google Scholar]
  8. Beck, R., Dobos, L., Budavári, T., et al. 2016, MNRAS, 460, 1371 [NASA ADS] [CrossRef] [Google Scholar]
  9. Benítez, N. 2000, ApJ, 536, 571 [Google Scholar]
  10. Benítez, N., Moles, M., Aguerri, J. A. L., et al. 2009, ApJ, 692, L5 [Google Scholar]
  11. Benítez, N., Dupke, R., Moles, M., et al. 2014, arXiv e-prints [arXiv: 1403.5237] [Google Scholar]
  12. Bertin, E., Schefer, M., Apostolakos, N., et al. 2020, Astronomical Data Analysis Software and Systems XXIX, 527, 461 [NASA ADS] [Google Scholar]
  13. Blake, C., & Bridle, S. 2005, MNRAS, 363, 1329 [Google Scholar]
  14. Bonoli, S., Marín-Franch, A., Varela, J., et al. 2021, A&A, 653, A31 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  15. Boquien, M., Burgarella, D., Roehlly, Y., et al. 2019, A&A, 622, A103 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  16. Chaves-Montero, J., Angulo, R. E., & Hernández-Monteagudo, C. 2018, MNRAS, 477, 3892 [CrossRef] [Google Scholar]
  17. Dahlen, T., Mobasher, B., Faber, S. M., et al. 2013, ApJ, 775, 93 [Google Scholar]
  18. Dark Energy Survey Collaboration (Abbott, T., et al.) 2016, MNRAS, 460, 1270 [Google Scholar]
  19. Eriksen, M., Alarcon, A., Gaztanaga, E., et al. 2019, MNRAS, 484, 4200 [NASA ADS] [CrossRef] [Google Scholar]
  20. Euclid Collaboration (Scaramella, R., et al.) 2022, A&A, 662, A112 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  21. Fernández-Soto, A., Lanzetta, K. M., Chen, H.-W., Levine, B., & Yahata, N. 2002, MNRAS, 330, 889 [CrossRef] [Google Scholar]
  22. Gong, Y., Liu, X., Cao, Y., et al. 2019, ApJ, 883, 203 [NASA ADS] [CrossRef] [Google Scholar]
  23. Hernán-Caballero, A., Alonso-Herrero, A., Hatziminaoglou, E., et al. 2015, ApJ, 803, 109 [CrossRef] [Google Scholar]
  24. Hernán-Caballero, A., Varela, J., Lopez-Sanjuan, C., et al. 2021, A&A, 654, A101 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  25. Hernán-Caballero, A., Willmer, C. N. A., Varela, J., et al. 2023, A&A, 671, A71 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  26. Hildebrandt, H., van den Busch, J. L., Wright, A. H., et al. 2021, A&A 647, A124 [EDP Sciences] [Google Scholar]
  27. Hill, T. P., & Miller, J. 2011, Chaos, 21, 033102 [NASA ADS] [CrossRef] [Google Scholar]
  28. HSC Collaboration (Nishizawa, A. J., Hsieh, B.-C., Tanaka, M.) 2023, Photometric Redshifts for the Hyper Suprime-Cam Subaru Strategic Program Data Release 3, https://hsc-release.mtk.nao.ac.jp/ [Google Scholar]
  29. Hsieh, B. C., & Yee, H. K. C. 2014, ApJ, 792, 102 [Google Scholar]
  30. Ilbert, O., Capak, P., Salvato, M., et al. 2009, ApJ, 690, 1236 [NASA ADS] [CrossRef] [Google Scholar]
  31. Kovac, K., Lilly, S. J., Cucciati, O., et al. 2010, ApJ, 708, 505 [CrossRef] [Google Scholar]
  32. Kron, R. G. 1980, ApJS, 43, 305 [Google Scholar]
  33. Kümmel, M., Bertin, E., Schefer, M., et al. 2020, Astronomical Data Analysis Software and Systems XXIX, 527, 29 [Google Scholar]
  34. Lang, D., Hogg, D. W., & Mykytyn, D. 2016, Astrophysics Source Code Library [record ascl:1604.008] [Google Scholar]
  35. Lang, D., Hogg, D. W., & Schlegel, D. J. 2016, AJ, 151, 36 [Google Scholar]
  36. Laur, J., Tempel, E., Tamm, A., et al. 2022, A&A, 668, A8 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  37. Le Fèvre, O., Vettolani, G., Garilli, B., et al. 2005, A&A, 439, 845 [Google Scholar]
  38. LSST Science Collaboration (Abell, P. A., et al.) 2009, arXiv e-prints [arXiv:0912.0201] [Google Scholar]
  39. Moles, M., Benítez, N., Aguerri, J. A. L., et al. 2008, AJ, 136, 1325 [NASA ADS] [CrossRef] [Google Scholar]
  40. Newman, J. A., & Gruen, D. 2022, ARA&A, 60, 363 [NASA ADS] [CrossRef] [Google Scholar]
  41. Newman, J. A., Cooper, M. C., Davis, M., et al. 2013, ApJS, 208, 5 [Google Scholar]
  42. Noll, S., Burgarella, D., Giovannoli, E., et al. 2009, A&A, 507, 1793 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  43. Pérez-González, P. G., Cava, A., Barro, G., et al. 2013, ApJ, 762, 46 [Google Scholar]
  44. Polsterer, K. L., D’Isanto, A., & Gieseke, F. 2016, MNRAS, submitted [arXiv:1608.0806] [Google Scholar]
  45. Schmidt, S. J., & Thorman, P. 2013, MNRAS, 431, 2766 [NASA ADS] [CrossRef] [Google Scholar]
  46. Schmidt, S. J., Malz, A. I., Soo, J. Y. H., et al. 2020, MNRAS, 499, 1587 [Google Scholar]
  47. Tanaka, M. 2015, ApJ, 801, 20 [Google Scholar]
  48. Tanaka, M., Coupon, J., Hsieh, B.-C., et al. 2018, PASJ, 70, S9 [Google Scholar]
  49. Taniguchi, Y., Scoville, N., Murayama, T., et al. 2007, ApJS, 172, 9 [Google Scholar]
  50. Taniguchi, Y., Kajisawa, M., Kobayashi, M. A. R., et al. 2015, PASJ, 67, 104 [NASA ADS] [Google Scholar]
  51. Weaver, J. R., Zalesky, L., Kokorev, V., et al. 2023, ApJS, 269, 20 [NASA ADS] [CrossRef] [Google Scholar]
  52. Wilson, E. B. 1927, J. Am. Stat. Assoc., 22, 209 [CrossRef] [Google Scholar]
  53. Wittman, D., Bhaskar, R., & Tobin, R. 2016, MNRAS, 457, 4005 [Google Scholar]
  54. Wolf, C., Meisenheimer, K., Rix, H. W., et al. 2003, A&A, 401, 73 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  55. York, D. G., Adelman, J., Anderson, John, E. J., et al. 2000, AJ, 120, 1579 [NASA ADS] [CrossRef] [Google Scholar]

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