Open Access
Issue
A&A
Volume 683, March 2024
Article Number A152
Number of page(s) 15
Section Cosmology (including clusters of galaxies)
DOI https://doi.org/10.1051/0004-6361/202347844
Published online 15 March 2024
  1. Abazajian, K. N., Acero, M. A., Agarwalla, S. K., et al. 2012, arXiv e-prints [arXiv:1204.5379] [Google Scholar]
  2. Abellán, G. F., Murgia, R., & Poulin, V. 2021, Phys. Rev. D, 104, 123533 [CrossRef] [Google Scholar]
  3. Abellán, G. F., Murgia, R., Poulin, V., & Lavalle, J. 2022, Phys. Rev. D, 105, 063525 [CrossRef] [Google Scholar]
  4. Adhikari, R., Agostini, M., Ky, N. A., et al. 2017, JCAP, 2017, 025 [CrossRef] [Google Scholar]
  5. Aihara, H., Arimoto, N., Armstrong, R., et al. 2017, PASJ, 70 [Google Scholar]
  6. Amon, A., & Efstathiou, G. 2022, MNRAS, 516, 5355 [CrossRef] [Google Scholar]
  7. Amon, A., Gruen, D., Troxel, M. A., et al. 2022, Phys. Rev. D, 105, 023514 [NASA ADS] [CrossRef] [Google Scholar]
  8. Aricò, G., Angulo, R. E., Zennaro, M., et al. 2023, A&A, 678, A109 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  9. Asgari, M., Lin, C.-A., Joachimi, B., et al. 2021, A&A, 645, A104 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  10. Aurélien, G. 2019, Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems (OReilly Media, Inc.) [Google Scholar]
  11. Berezinsky, V., Masiero, A., & Valle, J. 1991, Phys. Lett. B, 266, 382 [NASA ADS] [CrossRef] [Google Scholar]
  12. Blackadder, G., & Koushiappas, S. M. 2014, Phys. Rev. D, 90, 103527 [NASA ADS] [CrossRef] [Google Scholar]
  13. Blas, D., Lesgourgues, J., & Tram, T. 2011, JCAP, 2011, 034 [Google Scholar]
  14. Bucko, J., Giri, S. K., & Schneider, A. 2023, A&A, 672, A157 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  15. Chen, A., Huterer, D., Lee, S., et al. 2021, Phys. Rev. D, 103, 123528 [NASA ADS] [CrossRef] [Google Scholar]
  16. Cheng, D., Chu, M.-C., & Tang, J. 2015, JCAP, 2015, 009 [CrossRef] [Google Scholar]
  17. Chisari, N. E., Mead, A. J., Joudaki, S., et al. 2019, Open J. Astrophys., 2, 4 [NASA ADS] [CrossRef] [Google Scholar]
  18. Choi, G., & Yanagida, T. T. 2022, Phys. Lett. B, 827, 136954 [NASA ADS] [CrossRef] [Google Scholar]
  19. Covi, L., Kim, J. E., & Roszkowski, L. 1999, Phys. Rev. Lett., 82, 4180 [NASA ADS] [CrossRef] [Google Scholar]
  20. Cyr-Racine, F.-Y., Sigurdson, K., Zavala, J., et al. 2016, Phys. Rev. D, 93, 123527 [NASA ADS] [CrossRef] [Google Scholar]
  21. Enqvist, K., Nadathur, S., Sekiguchi, T., & Takahashi, T. 2015, JCAP, 09, 067 [CrossRef] [Google Scholar]
  22. Enqvist, K., Nadathur, S., Sekiguchi, T., & Takahashi, T. 2020, JCAP, 04, 015 [CrossRef] [Google Scholar]
  23. Falkner, S., Klein, A., & Hutter, F. 2018, in Proceedings of the 35th International Conference on Machine Learning, eds. J. Dy, & A. Krause (Stockholmsmässan, Stockholm Sweden: PMLR), Proc. Mach. Learn. Res., 80, 1437 [Google Scholar]
  24. Feng, J. L., Rajaraman, A., & Takayama, F. 2003, Phys. Rev. Lett., 91, 011302 [NASA ADS] [CrossRef] [Google Scholar]
  25. Ferlito, F., Vagnozzi, S., Mota, D. F., & Baldi, M. 2022, MNRAS, 512, 1885 [CrossRef] [Google Scholar]
  26. Foreman-Mackey, D., Hogg, D. W., Lang, D., & Goodman, J. 2013, PASP, 125, 306 [Google Scholar]
  27. Fuß, L., & Garny, M. 2023, JCAP, 2023, 020 [Google Scholar]
  28. García-García, C., Ruiz-Zapatero, J., Alonso, D., et al. 2021, JCAP, 2021, 030 [CrossRef] [Google Scholar]
  29. Gelman, A., & Rubin, D. B. 1992, Stat. Sci., 7, 457 [Google Scholar]
  30. Giblin, B., Heymans, C., Asgari, M., et al. 2021, A&A, 645, A105 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  31. Giri, S. K., & Schneider, A. 2021, JCAP, 2021, 046 [Google Scholar]
  32. Hamana, T., Shirasaki, M., Miyazaki, S., et al. 2020, PASJ, 72, 16 [Google Scholar]
  33. Hambye, T. 2011, in Proceedings of Identification of Dark Matter 2010 - PoS(IDM2010), 110, 098 [CrossRef] [Google Scholar]
  34. Heimersheim, S., Schöneberg, N., Hooper, D. C., & Lesgourgues, J. 2020, JCAP, 2020, 016 [CrossRef] [Google Scholar]
  35. Hildebrandt, H., Viola, M., Heymans, C., et al. 2016, MNRAS, 465, 1454 [Google Scholar]
  36. Hildebrandt, H., van den Busch, J. L., Wright, A. H., et al. 2021, A&A, 647, A124 [EDP Sciences] [Google Scholar]
  37. Hirata, C. M., Seljak, U. C. V., 2004, Phys. Rev. D, 70, 063526 [NASA ADS] [CrossRef] [Google Scholar]
  38. Hubert, J., Schneider, A., Potter, D., Stadel, J., & Giri, S. K. 2021, JCAP, 2021, 040 [CrossRef] [Google Scholar]
  39. Jeffreys, H. 1961, Theory of Probability (Clarendon) [Google Scholar]
  40. Joachimi, B., Lin, C.-A., Asgari, M., et al. 2021, A&A, 646, A129 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  41. Joseph, M., Aloni, D., Schmaltz, M., Sivarajan, E. N., & Weiner, N. 2023, Phys. Rev. D, 108, 023520 [NASA ADS] [CrossRef] [Google Scholar]
  42. Kim, H. B., & Kim, J. E. 2002, Phys. Lett. B, 527, 18 [NASA ADS] [CrossRef] [Google Scholar]
  43. Kingma, D. P., & Ba, J. 2014, arXiv e-prints [arXiv:1412.6980] [Google Scholar]
  44. Kuijken, K., Heymans, C., Dvornik, A., et al. 2019, A&A, 625, A2 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  45. Mau, S., Nadler, E. O., Wechsler, R. H., et al. 2022, ApJ, 932, 128 [NASA ADS] [CrossRef] [Google Scholar]
  46. Murgia, R., Merle, A., Viel, M., Totzauer, M., & Schneider, A. 2017, JCAP, 2017, 046 [CrossRef] [Google Scholar]
  47. Pappadopulo, D., Ruderman, J. T., & Trevisan, G. 2016, Phys. Rev. D, 94, 035005 [NASA ADS] [CrossRef] [Google Scholar]
  48. Parimbelli, G., Scelfo, G., Giri, S., et al. 2021, JCAP, 2021, 044 [CrossRef] [Google Scholar]
  49. Paszke, A., Gross, S., Massa, F., et al. 2019, Advances in Neural Information Processing Systems 32 (Curran Associates, Inc.), 8024 [Google Scholar]
  50. Peter, A. H. G., & Benson, A. J. 2010, Phys. Rev. D, 82, 123521 [NASA ADS] [CrossRef] [Google Scholar]
  51. Peter, A. H. G., Moody, C. E., & Kamionkowski, M. 2010, Phys. Rev. D, 81, 103501 [NASA ADS] [CrossRef] [Google Scholar]
  52. Planck Collaboration V. 2020, A&A, 641, A5 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  53. Planck Collaboration VI. 2020, A&A, 641, A6 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  54. Potter, D., Stadel, J., & Teyssier, R. 2017, Comput. Astrophys. Cosmol., 4, 2 [NASA ADS] [CrossRef] [Google Scholar]
  55. Poulin, V., Bernal, J. L., Kovetz, E., & Kamionkowski, M. 2023, Phys. Rev. D, 107, 123538 [NASA ADS] [CrossRef] [Google Scholar]
  56. Pourtsidou, A., Skordis, C., & Copeland, E. J. 2013, Phys. Rev. D, 88, 083505 [NASA ADS] [CrossRef] [Google Scholar]
  57. Prince, H., & Dunkley, J. 2019, Phys. Rev. D, 100, 083502 [NASA ADS] [CrossRef] [Google Scholar]
  58. Raveri, M., & Hu, W. 2019, Phys. Rev. D, 99, 043506 [NASA ADS] [CrossRef] [Google Scholar]
  59. Rubira, H., Mazoun, A., & Garny, M. 2023, JCAP, 2023, 034 [CrossRef] [Google Scholar]
  60. Schöneberg, N., Abellán, G. F., Sánchez, A. P., et al. 2022, Phys. Rep., 984, 1 [CrossRef] [Google Scholar]
  61. Schneider, A., & Teyssier, R. 2015, JCAP, 1512, 049 [Google Scholar]
  62. Schneider, A., Teyssier, R., Stadel, J., et al. 2019, JCAP, 03, 020 [CrossRef] [Google Scholar]
  63. Schneider, A., Refregier, A., Grandis, S., et al. 2020a, JCAP, 04, 020 [Google Scholar]
  64. Schneider, A., Stoira, N., Refregier, A., et al. 2020b, JCAP, 04, 019 [CrossRef] [Google Scholar]
  65. Schneider, A., Giri, S. K., Amodeo, S., & Refregier, A. 2022, MNRAS, 514, 3802 [NASA ADS] [CrossRef] [Google Scholar]
  66. Simon, T., Abellán, G. F., Du, P., Poulin, V., & Tsai, Y. 2022, Phys. Rev. D, 106, 023516 [NASA ADS] [CrossRef] [Google Scholar]
  67. Sitzmann, V., Martel, J. N. P., Bergman, A. W., Lindell, D. B., & Wetzstein, G. 2020, arXiv e-prints [arXiv:2006.09661] [Google Scholar]
  68. Takahashi, R., Sato, M., Nishimichi, T., Taruya, A., & Oguri, M. 2012, ApJ, 761, 152 [Google Scholar]
  69. Tan, T., Zuercher, D., Fluri, J., et al. 2023, MNRAS, 522, 3766 [NASA ADS] [CrossRef] [Google Scholar]
  70. Tanimura, H., Douspis, M., Aghanim, N., & Kuruvilla, J. 2023, A&A, 674, A222 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  71. Tarsitano, F., Schmitt, U., Refregier, A., et al. 2021, Astron. Comput., 36, 100484 [NASA ADS] [CrossRef] [Google Scholar]
  72. The Dark Energy Survey Collaboration 2005, arXiv e-prints [arXiv:astro-ph/0510346] [Google Scholar]
  73. van Daalen, M. P., Schaye, J., Booth, C. M., & Vecchia, C. D. 2011, MNRAS, 415, 3649 [Google Scholar]
  74. Vogelsberger, M., Zavala, J., Cyr-Racine, F.-Y., et al. 2016, MNRAS, 460, 1399 [NASA ADS] [CrossRef] [Google Scholar]
  75. Wang, M.-Y., Croft, R. A. C., Peter, A. H. G., Zentner, A. R., & Purcell, C. W. 2013, Phys. Rev. D, 88, 123515 [NASA ADS] [CrossRef] [Google Scholar]
  76. Wang, M.-Y., & Zentner, A. R. 2012, Phys. Rev. D, 85, 043514 [NASA ADS] [CrossRef] [Google Scholar]

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