EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues Volume 706 (February 2026) A&A, 706 (2026) A148 References
Open Access
Issue
A&A
Volume 706, February 2026
Article Number A148
Number of page(s) 18
Section Cosmology (including clusters of galaxies)
DOI https://doi.org/10.1051/0004-6361/202557167
Published online 06 February 2026
  1. Abbott, T. M. C., Abdalla, F. B., Allam, S., et al. 2018, ApJS, 239, 18 [Google Scholar]
  2. Abdalla, E., Abellán, G. F., Aboubrahim, A., et al. 2022, J. High Energy Astrophys., 34, 49 [NASA ADS] [CrossRef] [Google Scholar]
  3. Aihara, H., Arimoto, N., Armstrong, R., et al. 2018, PASJ, 70, S4 [NASA ADS] [Google Scholar]
  4. Akitsu, K., Li, Y., & Okumura, T. 2023, Phys. Rev. D, 107, 063531 [Google Scholar]
  5. Albrecht, A., Bernstein, G., Cahn, R., et al. 2006, Report of the Dark Energy Task Force [Google Scholar]
  6. Bate, J., Chisari, N. E., Codis, S., et al. 2020, MNRAS, 491, 4057 [Google Scholar]
  7. Bernstein, G. M., & Jarvis, M. 2002, AJ, 123, 583 [NASA ADS] [CrossRef] [Google Scholar]
  8. Bhowmick, A. K., Chen, Y., Tenneti, A., Di Matteo, T., & Mandelbaum, R. 2020, MNRAS, 491, 4116 [Google Scholar]
  9. Biagetti, M., & Orlando, G. 2020, JCAP, 2020, 005 [CrossRef] [Google Scholar]
  10. Blazek, J., McQuinn, M., & Seljak, U. 2011, JCAP, 2011, 010 [CrossRef] [Google Scholar]
  11. Bridle, S., & King, L. 2007, New J. Phys., 9, 444 [Google Scholar]
  12. Catelan, P., Kamionkowski, M., & Blandford, R. D. 2001, MNRAS, 320, L7 [NASA ADS] [CrossRef] [Google Scholar]
  13. Chisari, N. E., & Dvorkin, C. 2013, JCAP, 2013, 029 [CrossRef] [Google Scholar]
  14. Chisari, N. E., Dvorkin, C., & Schmidt, F. 2014, Phys. Rev. D, 90, 043527 [Google Scholar]
  15. Chisari, N., Codis, S., Laigle, C., et al. 2015, MNRAS, 454, 2736 [NASA ADS] [CrossRef] [Google Scholar]
  16. Chisari, N. E., Alonso, D., Krause, E., et al. 2019, ApJS, 242, 2 [Google Scholar]
  17. Cramér, H. 1946, Mathematical Methods of Statistics (Princeton University Press), Princeton Math. Ser. [Google Scholar]
  18. Dalal, R., Li, X., Nicola, A., et al. 2023, Phys. Rev. D, 108, 123519 [CrossRef] [Google Scholar]
  19. Dark Energy Survey and Kilo-Degree Survey Collaboration (Abbott, T. M. C., et al.) 2023, Open J. Astrophys., 6, 36 [NASA ADS] [Google Scholar]
  20. de Jong, J. T. A., Verdoes Kleijn, G. A., Kuijken, K. H., & Valentijn, E. A. 2013, Exp. Astron., 35, 25 [Google Scholar]
  21. Delgado, A. M., Hadzhiyska, B., Bose, S., et al. 2023, MNRAS, 523, 5899 [CrossRef] [Google Scholar]
  22. Dubois, Y., Pichon, C., Welker, C., et al. 2014, MNRAS, 444, 1453 [Google Scholar]
  23. Eisenstein, D. J., & Zaldarriaga, M. 2001, ApJ, 546, 2 [Google Scholar]
  24. Fortuna, M. C., Hoekstra, H., Joachimi, B., et al. 2020, MNRAS, 501, 2983 [Google Scholar]
  25. Gaztañaga, E., & Scoccimarro, R. 2005, MNRAS, 361, 824 [Google Scholar]
  26. Genel, S., Vogelsberger, M., Nelson, D., et al. 2013, MNRAS, 435, 1426 [NASA ADS] [CrossRef] [Google Scholar]
  27. Gupta, A. K., & Nagar, D. K. 2000, Matrix Variate Distributions (Boca Raton, FL: Chapman and Hall/CRC) [Google Scholar]
  28. Hartlap, J., Simon, P., & Schneider, P. 2006, A&A, 464, 399 [Google Scholar]
  29. Hearin, A. P., Campbell, D., Tollerud, E., et al. 2017, AJ, 154, 190 [Google Scholar]
  30. Heymans, C., Tröster, T., Asgari, M., et al. 2021, A&A, 646, A140 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  31. Hirata, C. M., & Seljak, U. 2004, Phys. Rev. D, 70, 063526 [Google Scholar]
  32. Hirata, C. M., Mandelbaum, R., Ishak, M., et al. 2007, MNRAS, 381, 1197 [NASA ADS] [CrossRef] [Google Scholar]
  33. Ivezić, Ž., Kahn, S. M., Tyson, J. A., et al. 2019, ApJ, 873, 111 [Google Scholar]
  34. Jarvis, M., Bernstein, G., & Jain, B. 2004, MNRAS, 352, 338 [Google Scholar]
  35. Joachimi, B., & Bridle, S. L. 2010, A&A, 523, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  36. Joachimi, B., Mandelbaum, R., Abdalla, F. B., & Bridle, S. L. 2011, A&A, 527, A26 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  37. Joachimi, B., Cacciato, M., Kitching, T. D., et al. 2015, Space Sci. Rev., 193, 1 [Google Scholar]
  38. Khandai, N., Di Matteo, T., Croft, R., et al. 2015, MNRAS, 450, 1349 [NASA ADS] [CrossRef] [Google Scholar]
  39. Kiessling, A., Cacciato, M., Joachimi, B., et al. 2015, Space Sci. Rev., 193, 67 [Google Scholar]
  40. Kilbinger, M. 2015, Rep. Progr. Phys., 78, 086901 [Google Scholar]
  41. Kirk, D., Brown, M. L., Hoekstra, H., et al. 2015, Space Sci. Rev., 193, 139 [Google Scholar]
  42. Krause, E., Eifler, T., & Blazek, J. 2015, MNRAS, 456, 207 [Google Scholar]
  43. Kumwembe, A. A., Lamman, C., Eisenstein, D., et al. 2025, Enhancing Multiplet Alignment Measurements with Imaging [Google Scholar]
  44. Kurita, T., & Takada, M. 2023, Constraints on Anisotropic Primordial Non-Gaussianity From Intrinsic Alignments of SDSS-III BOSS Galaxies [Google Scholar]
  45. Lamman, C., Tsaprazi, E., Shi, J., et al. 2024, Open J. Astrophys., 7 [Google Scholar]
  46. Lamman, C., Blazek, J., & Eisenstein, D. J. 2025, Optimal Intrinsic Alignment Estimators in the Presence of Redshift-space Distortions [Google Scholar]
  47. Landy, S. D., & Szalay, A. S. 1993, ApJ, 412, 64 [Google Scholar]
  48. Laureijs, R., Amiaux, J., Arduini, S., et al. 2011, ArXiv e-prints [arXiv:1110.3193] [Google Scholar]
  49. Lewis, A., & Bridle, S. 2002, Phys. Rev. D, 66 [Google Scholar]
  50. Li, X., Zhang, T., Sugiyama, S., et al. 2023, Phys. Rev. D, 108, 123518 [CrossRef] [Google Scholar]
  51. Mandelbaum, R., Hirata, C. M., Ishak, M., Seljak, U., & Brinkmann, J. 2006, MNRAS, 367, 611 [CrossRef] [Google Scholar]
  52. Mandelbaum, R., Blake, C., Bridle, S., et al. 2011, MNRAS, 410, 844 [Google Scholar]
  53. Mohammad, F. G., & Percival, W. J. 2022, MNRAS, 514, 1289 [NASA ADS] [CrossRef] [Google Scholar]
  54. Nelson, D., Springel, V., Pillepich, A., et al. 2021, The IllustrisTNG Simulations: Public Data Release [Google Scholar]
  55. Norberg, P., Baugh, C. M., Gaztañaga, E., & Croton, D. J. 2009, MNRAS, 396, 19 [Google Scholar]
  56. Okumura, T., & Taruya, A. 2023, ApJ, 945, L30 [Google Scholar]
  57. Philcox, O. H., Ivanov, M. M., Zaldarriaga, M., Simonović, M., & Schmittfull, M. 2021, Phys. Rev. D, 103 [Google Scholar]
  58. Quenouille, M. H. 1956, Biometrika, 43, 353 [Google Scholar]
  59. Rao, C. R. 1945, Bull. Calcutta Math. Soc., 37, 81 [Google Scholar]
  60. Samuroff, S., Mandelbaum, R., & Blazek, J. 2021, MNRAS, 508, 637 [NASA ADS] [CrossRef] [Google Scholar]
  61. Schaye, J., Crain, R. A., Bower, R. G., et al. 2015, MNRAS, 446, 521 [Google Scholar]
  62. Schmidt, F., Chisari, N. E., & Dvorkin, C. 2015, JCAP, 2015, 032 [Google Scholar]
  63. Schneider, M. D., & Bridle, S. 2010, MNRAS, 402, 2127 [Google Scholar]
  64. Secco, L. F., Samuroff, S., Krause, E., et al. 2022, Phys. Rev. D, 105, 023515 [NASA ADS] [CrossRef] [Google Scholar]
  65. Shao, J. 1986, Ann. Stat., 14, 1322 [Google Scholar]
  66. Singh, S., & Mandelbaum, R. 2016, MNRAS, 457, 2301 [NASA ADS] [CrossRef] [Google Scholar]
  67. Singh, S., Mandelbaum, R., & More, S. 2015, MNRAS, 450, 2195 [Google Scholar]
  68. Singh, S., Shakir, A., Jagvaral, Y., & Mandelbaum, R. 2024, Increasing the Power of Weak Lensing Survey Data with Multipole-based Intrinsic Alignment Estimators [Google Scholar]
  69. Soussana, A., Chisari, N. E., Codis, S., et al. 2020, MNRAS, 492, 4268 [CrossRef] [Google Scholar]
  70. Spergel, D., Gehrels, N., Baltay, C., et al. 2015, ArXiv e-prints [arXiv:1503.03757] [Google Scholar]
  71. Springel, V. 2010, MNRAS, 401, 791 [Google Scholar]
  72. Springel, V., White, S. D. M., Tormen, G., & Kauffmann, G. 2001, MNRAS, 328, 726 [Google Scholar]
  73. Springel, V., Pakmor, R., Pillepich, A., et al. 2017, MNRAS, 475, 676 [Google Scholar]
  74. Tenneti, A., Singh, S., Mandelbaum, R., et al. 2015, MNRAS, 448, 3522 [Google Scholar]
  75. Tenneti, A., Gnedin, N. Y., & Feng, Y. 2017, ApJ, 834, 169 [Google Scholar]
  76. Tenneti, A., Kitching, T. D., Joachimi, B., & Di Matteo, T. 2020, MNRAS, 501, 5859 [Google Scholar]
  77. Troxel, M. A., & Ishak, M. 2011, MNRAS, 419, 1804 [Google Scholar]
  78. Troxel, M., & Ishak, M. 2015, Phys. Rep., 558, 1 [NASA ADS] [CrossRef] [Google Scholar]
  79. Tukey, J. W. 1958, Ann. Math. Stat., 29, 588 [Google Scholar]
  80. Velliscig, M., Cacciato, M., Schaye, J., et al. 2015, MNRAS, 453, 721 [Google Scholar]
  81. Vlah, Z., Chisari, N. E., & Schmidt, F. 2020, JCAP, 2020, 025 [Google Scholar]
  82. Weinberg, D. H., Mortonson, M. J., Eisenstein, D. J., et al. 2013, Phys. Rep., 530, 87 [Google Scholar]
  83. Wishart, J. 1928, Biometrika, 20A, 32 [CrossRef] [Google Scholar]
  84. Xu, K., Jing, Y. P., Zhao, G.-B., & Cuesta, A. J. 2023, Nat. Astron., 7, 1259 [Google Scholar]
  85. Zhang, P. 2010, MNRAS, 406, L95 [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.