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Home All issues Volume 694 (February 2025) A&A, 694 (2025) A287 References
Open Access
Issue
A&A
Volume 694, February 2025
Article Number A287
Number of page(s) 19
Section Cosmology (including clusters of galaxies)
DOI https://doi.org/10.1051/0004-6361/202452217
Published online 24 February 2025
  1. Alsing, J., Charnock, T., Feeney, S., & Wandelt, B. 2019, MNRAS, 488, 4440 [Google Scholar]
  2. Alves de Oliveira, R., Li, Y., Villaescusa-Navarro, F., Ho, S., & Spergel, D. N. 2020, arXiv e-prints [arXiv:2012.00240] [Google Scholar]
  3. Angulo, R. E., & Hahn, O. 2022, Liv. Rev. Comput. Astrophys., 8, 1 [CrossRef] [Google Scholar]
  4. Bartlett, D. J., Desmond, H., & Ferreira, P. G. 2022, in IEEE Transactions on Evolutionary Computation (Institute of Electrical and Electronics Engineers (IEEE)), 1 [Google Scholar]
  5. Bernardeau, F., Colombi, S., Gaztañaga, E., & Scoccimarro, R. 2002, Phys. Rep., 367, 1 [Google Scholar]
  6. Birdsall, C. K., & Langdon, A. B. 1985, Plasma Physics via Computer Simulation (CRC Press) [Google Scholar]
  7. Bouchet, F. R., Colombi, S., Hivon, E., & Juszkiewicz, R. 1995, A&A, 296, 575 [NASA ADS] [Google Scholar]
  8. Buchert, T. 1989, A&A, 223, 9 [NASA ADS] [Google Scholar]
  9. Chartier, N., Wandelt, B., Akrami, Y., & Villaescusa-Navarro, F. 2021, MNRAS, 503, 1897 [NASA ADS] [CrossRef] [Google Scholar]
  10. Conceição, M., Krone-Martins, A., da Silva, A., & Moliné, Á. 2024, A&A, 681, A123 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  11. Dai, B., & Seljak, U. 2021, Proc. Nat. Acad. Sci., 118, e2020324118 [Google Scholar]
  12. Ding, S., Lavaux, G., & Jasche, J. 2024, A&A, 690, A236 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  13. Doeser, L., Jamieson, D., Stopyra, S., et al. 2024, MNRAS, 535, 1258 [NASA ADS] [CrossRef] [Google Scholar]
  14. Feng, Y., Chu, M.-Y., Seljak, U., & McDonald, P. 2016, MNRAS, 463, 2273 [NASA ADS] [CrossRef] [Google Scholar]
  15. Frontiere, N., Heitmann, K., Rangel, E., et al. 2022, ApJS, 259, 15 [NASA ADS] [CrossRef] [Google Scholar]
  16. Giusarma, E., Reyes, M., Villaescusa-Navarro, F., et al. 2023, ApJ, 950, 70 [NASA ADS] [CrossRef] [Google Scholar]
  17. Hahn, O., Angulo, R. E., & Abel, T. 2015, MNRAS, 454, 3920 [Google Scholar]
  18. He, K., Zhang, X., Ren, S., & Sun, J. 2016, in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 770 [Google Scholar]
  19. He, S., Li, Y., Feng, Y., et al. 2019, Proc. Nat. Acad. Sci., 116, 13825 [Google Scholar]
  20. Heitmann, K., Finkel, H., Pope, A., et al. 2019, ApJS, 245, 16 [NASA ADS] [CrossRef] [Google Scholar]
  21. Ho, M., Bartlett, D. J., Chartier, N., et al. 2024, Open J. Astrophys., 7, 54 [NASA ADS] [CrossRef] [Google Scholar]
  22. Hockney, R. W., & Eastwood, J. W. 1981, Computer Simulation Using Particles (McGraw-Hill) [Google Scholar]
  23. Howlett, C., Manera, M., & Percival, W. J. 2015, Astron. Comput., 12, 109 [NASA ADS] [CrossRef] [Google Scholar]
  24. Ishiyama, T., Prada, F., Klypin, A. A., et al. 2021, MNRAS, 506, 4210 [NASA ADS] [CrossRef] [Google Scholar]
  25. Izard, A., Crocce, M., & Fosalba, P. 2016, MNRAS, 459, 2327 [NASA ADS] [CrossRef] [Google Scholar]
  26. Jamieson, D., Li, Y., He, S., et al. 2023a, PNAS nexus, 2, pgac250 [CrossRef] [Google Scholar]
  27. Jamieson, D., Li, Y., de Oliveira, R. A., et al. 2023b, ApJ, 952, 145 [NASA ADS] [CrossRef] [Google Scholar]
  28. Jamieson, D., Li, Y., Villaescusa-Navarro, F., Ho, S., & Spergel, D. N. 2024, arXiv e-prints [arXiv:2408.07699] [Google Scholar]
  29. Jasche, J., & Lavaux, G. 2019, A&A, 625, A64 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  30. Karras, T., Laine, S., Aittala, M., et al. 2020, Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 8110 [Google Scholar]
  31. Kingma, D. P., & Ba, J. 2014, arXiv e-prints [arXiv:1412.6980] [Google Scholar]
  32. Koda, J., Blake, C., Beutler, F., Kazin, E., & Marin, F. 2016, MNRAS, 459, 2118 [NASA ADS] [CrossRef] [Google Scholar]
  33. Kodi Ramanah, D., Charnock, T., Villaescusa-Navarro, F., & Wandelt, B. D. 2020, MNRAS, 495, 4227 [NASA ADS] [CrossRef] [Google Scholar]
  34. Lanzieri, D., Lanusse, F., & Starck, J.-L. 2022, arXiv e-prints [arXiv: 2207.05509] [Google Scholar]
  35. Leclercq, F. 2015, Ph.D. Thesis, Institut d’Astrophysique de Paris, France [Google Scholar]
  36. Leclercq, F. 2018, Phys. Rev. D, 98, 063511 [NASA ADS] [CrossRef] [Google Scholar]
  37. Leclercq, F. 2022, Phys. Sci. Forum, 5, 4 [Google Scholar]
  38. Leclercq, F., Jasche, J., & Wandelt, B. 2015, JCAP, 6, 15 [Google Scholar]
  39. Leclercq, F., Jasche, J., Lavaux, G., Wandelt, B., & Percival, W. 2017, JCAP, 6, 049 [Google Scholar]
  40. Leclercq, F., Enzi, W., Jasche, J., & Heavens, A. 2019, MNRAS, 490, 4237 [NASA ADS] [CrossRef] [Google Scholar]
  41. Leclercq, F., Faure, B., Lavaux, G., et al. 2020, A&A, 639, A91 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  42. Li, Y., Ni, Y., Croft, R. A. C., et al. 2021, Proc. Nat. Acad. Sci., 118, e2022038118 [NASA ADS] [CrossRef] [Google Scholar]
  43. Li, Y., Lu, L., Modi, C., et al. 2022, arXiv e-prints [arXiv:2211.09958] [Google Scholar]
  44. List, F., & Hahn, O. 2024, J. Comput. Phys., 513, 113201 [NASA ADS] [CrossRef] [Google Scholar]
  45. Loshchilov, I., & Hutter, F. 2017, arXiv e-prints [arXiv:1711.05101] [Google Scholar]
  46. Lucie-Smith, L., Peiris, H. V., Pontzen, A., & Lochner, M. 2018, MNRAS, 479, 3405 [NASA ADS] [CrossRef] [Google Scholar]
  47. Makinen, T. L., Charnock, T., Alsing, J., & Wandelt, B. D. 2021, JCAP, 2021, 049 [CrossRef] [Google Scholar]
  48. Milletari, F., Navab, N., & Ahmadi, S. A. 2016, in 2016 Fourth International Conference on 3D Vision (3DV), 565 [CrossRef] [Google Scholar]
  49. Modi, C., Lanusse, F., & Seljak, U. 2021, Astron. Comput., 37, 100505 [NASA ADS] [CrossRef] [Google Scholar]
  50. Paszke, A., Gross, S., Massa, F., et al. 2019, in Advances in Neural Information Processing Systems, eds. H. Wallach, H. Larochelle, A. Beygelzimer, et al. (Curran Associates, Inc.), 32 [Google Scholar]
  51. Payot, N., Lemos, P., Perreault-Levasseur, L., et al. 2023, arXiv e-prints [arXiv:2311.18017] [Google Scholar]
  52. Perraudin, N., Srivastava, A., Lucchi, A., et al. 2019, Comput. Astrophys. Cosmol., 6, 5 [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. Quinn, T., Katz, N., Stadel, J., & Lake, G. 1997, arXiv e-prints [arXiv:astro-ph/9710043] [Google Scholar]
  56. Ronneberger, O., Fischer, P., & Brox, T. 2015, U-Net: Convolutional Networks for Biomedical Image Segmentation (Cham: Springer International Publishing) [Google Scholar]
  57. Saadeh, D., Koyama, K., & Morice-Atkinson, X. 2025, MNRAS, 537, 448 [NASA ADS] [CrossRef] [Google Scholar]
  58. Tassev, S., & Zaldarriaga, M. 2012, JCAP, 12, 11 [Google Scholar]
  59. Tassev, S., Zaldarriaga, M., & Eisenstein, D. J. 2013, JCAP, 6, 36 [Google Scholar]
  60. Taylor, P. L., Kitching, T. D., & McEwen, J. D. 2018, Phys. Rev. D, 98, 043532 [Google Scholar]
  61. Villaescusa-Navarro, F. 2018, Astrophysics Source Code Library [record ascl:1811.008] [Google Scholar]
  62. Vogelsberger, M., Marinacci, F., Torrey, P., & Puchwein, E. 2020, Nat. Rev. Phys., 2, 42 [Google Scholar]
  63. Wang, H., Mo, H. J., Yang, X., Jing, Y. P., & Lin, W. P. 2014, ApJ, 794, 94 [NASA ADS] [CrossRef] [Google Scholar]
  64. Wang, Q., Gao, L., & Meng, C. 2022, MNRAS, 517, 6004 [NASA ADS] [CrossRef] [Google Scholar]
  65. Wempe, E., Lavaux, G., White, S. D. M., et al. 2024, A&A, 691, A348 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  66. Wright, B. S., Winther, H. A., & Koyama, K. 2017, JCAP, 2017, 054 [CrossRef] [Google Scholar]
  67. Zel’dovich, Y. B. 1970, A&A, 5, 84 [NASA ADS] [Google Scholar]
  68. Zhang, X., Lachance, P., Dasgupta, A., et al. 2024, arXiv e-prints [arXiv:2408.09051] [Google Scholar]

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