EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues Volume 659 (March 2022) A&A, 659 (2022) A128 References
Open Access
Issue
A&A
Volume 659, March 2022
Article Number A128
Number of page(s) 12
Section Cosmology (including clusters of galaxies)
DOI https://doi.org/10.1051/0004-6361/202142052
Published online 18 March 2022
  1. Astropy Collaboration (Robitaille, T. P., et al.) 2013, A&A, 558, A33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  2. Astropy Collaboration (Price-Whelan, A. M., et al.) 2018, AJ, 156, 123 [Google Scholar]
  3. Barreira, A., Krause, E., & Schmidt, F. 2018a, JCAP, 10, 053 [CrossRef] [Google Scholar]
  4. Barreira, A., Krause, E., & Schmidt, F. 2018b, JCAP, 6, 015 [CrossRef] [Google Scholar]
  5. Blas, D., Lesgourgues, J., & Tram, T. 2011, JCAP, 07, 034 [CrossRef] [Google Scholar]
  6. Bridle, S., & King, L. 2007, New J. Phys., 9, 444 [Google Scholar]
  7. Campagne, J.-E., & Neveu, J., Plaszczynski, S. 2018, AngPow: Fast computation of accurate tomographic power spectra. (Astrophysics Source Code Library) [Google Scholar]
  8. Campagne, J. E., Neveu, J., & Plaszczynski, S. 2017, A&A, 602, A72 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  9. Carron, J. 2012, Phys. Rev. Lett., 108, 071301 [NASA ADS] [CrossRef] [Google Scholar]
  10. Chan, K. C., Moradinezhad Dizgah, A., & Noreña, J. 2018, Phys. Rev. D, 97, 043532 [NASA ADS] [CrossRef] [Google Scholar]
  11. Chevallier, M., & Polarski, D. 2001, Int. J. Mod. Phys. D, 10, 213 [Google Scholar]
  12. DES Collaboration (Abbott, T. M. C., et al.) 2022, Phys. Rev. D, 105, 023520 [CrossRef] [Google Scholar]
  13. Deshpande, A. C., Kitching, T. D., Cardone, V. F., et al. 2020, A&A, 636, A95 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  14. DESI Collaboration (Aghamousa, A., et al.) 2016, ArXiv e-prints [arXiv:1611.00036] [Google Scholar]
  15. Desjacques, V., Jeong, D., & Schmidt, F. 2018, Phys. Rep., 733, 1 [Google Scholar]
  16. Efstathiou, G. 2004, MNRAS, 349, 603 [Google Scholar]
  17. Euclid Collaboration (Blanchard, A., et al.) 2020, A&A, 642, A191 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  18. Friedrich, O., Andrade-Oliveira, F., Camacho, H., et al. 2021, MNRAS, 508, 3125 [NASA ADS] [CrossRef] [Google Scholar]
  19. Górski, K. M., Hivon, E., Banday, A. J., et al. 2005, ApJ, 622, 759 [Google Scholar]
  20. Heymans, C., Tröster, T., Asgari, M., et al. 2021, A&A, 646, A140 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  21. Hirata, C. M., Mandelbaum, R., Ishak, M., et al. 2007, MNRAS, 381, 1197 [NASA ADS] [CrossRef] [Google Scholar]
  22. Hivon, E., Górski, K. M., Netterfield, C. B., et al. 2002, ApJ, 567, 2 [NASA ADS] [CrossRef] [Google Scholar]
  23. Hu, W., & Kravtsov, A. V. 2003, ApJ, 584, 702 [Google Scholar]
  24. Hu, W., & Sawicki, I. 2007, Phys. Rev. D, 76, 104043 [Google Scholar]
  25. Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [NASA ADS] [CrossRef] [Google Scholar]
  26. Jones, E., Oliphant, T., Peterson, P., et al. 2001, SciPy: Open source scientific tools for Python [Google Scholar]
  27. Kilbinger, M., Heymans, C., Asgari, M., et al. 2017, MNRAS, 472, 2126 [Google Scholar]
  28. Kitching, T. D., Alsing, J., Heavens, A. F., et al. 2017, MNRAS, 469, 2737 [Google Scholar]
  29. Krause, E., & Eifler, T. 2017, MNRAS, 470, 2100 [NASA ADS] [CrossRef] [Google Scholar]
  30. Krause, E., Eifler, T. F., Zuntz, J., et al. 2017, ArXiv e-prints [arXiv:1706.09359] [Google Scholar]
  31. Lacasa, F. 2018, A&A, 615, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  32. Lacasa, F. 2020, A&A, 634, A74 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  33. Lacasa, F., & Grain, J. 2019, A&A, 624, A61 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  34. Lacasa, F., & Kunz, M. 2017, A&A, 604, A104 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  35. Lacasa, F., & Rosenfeld, R. 2016, JCAP, 8, 005 [Google Scholar]
  36. Lacasa, F., Lima, M., & Aguena, M. 2018, A&A, 611, A83 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  37. Laureijs, R., Amiaux, J., Arduini, S., et al. 2011, ArXiv e-prints [arXiv:1110.3193] [Google Scholar]
  38. Li, Y., Schmittfull, M., & Seljak, U. 2018, JCAP, 2, 022 [CrossRef] [Google Scholar]
  39. Lima, M., & Hu, W. 2007, Phys. Rev. D, 76, 123013 [NASA ADS] [CrossRef] [Google Scholar]
  40. Lin, C.-H., Harnois-Déraps, J., Eifler, T., et al. 2020, MNRAS, 499, 2977 [NASA ADS] [CrossRef] [Google Scholar]
  41. Linder, E. V. 2005, Phys. Rev. D, 72, 043529 [Google Scholar]
  42. LSST Science Collaboration (Abell, P. A., et al.) 2009, ArXiv e-prints [arXiv:0912.0201] [Google Scholar]
  43. Obreschkow, D., Power, C., Bruderer, M., & Bonvin, C. 2013, ApJ, 762, 115 [NASA ADS] [CrossRef] [Google Scholar]
  44. Oliphant, T. 2006, NumPy: A guide to NumPy (USA: Trelgol Publishing) [Google Scholar]
  45. Planck Collaboration VI. 2020, A&A, 641, A6 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  46. Sánchez, A. G., Scoccimarro, R., Crocce, M., et al. 2017, MNRAS, 464, 1640 [Google Scholar]
  47. Takada, M., & Hu, W. 2013, Phys. Rev. D, 87, 123504 [NASA ADS] [CrossRef] [Google Scholar]
  48. Takada, M., & Spergel, D. N. 2014, MNRAS, 441, 2456 [NASA ADS] [CrossRef] [Google Scholar]
  49. Takahashi, R., Soma, S., Takada, M., & Kayo, I. 2014, MNRAS, 444, 3473 [NASA ADS] [CrossRef] [Google Scholar]
  50. Taylor, P. L., Kitching, T. D., McEwen, J. D., & Tram, T. 2018, Phys. Rev. D, 98, 023522 [NASA ADS] [CrossRef] [Google Scholar]
  51. Upham, R. E., Brown, M. L., & Whittaker, L. 2021, MNRAS, 503, 1999 [NASA ADS] [CrossRef] [Google Scholar]
  52. Wadekar, D., & Scoccimarro, R. 2020, Phys. Rev. D, 102, 123517 [NASA ADS] [CrossRef] [Google Scholar]
  53. Wadekar, D., Ivanov, M. M., & Scoccimarro, R. 2020, Phys. Rev. D, 102, 123521 [CrossRef] [Google Scholar]
  54. Zonca, A., Singer, L., Lenz, D., et al. 2019, J. Open Source Softw., 4, 1298 [Google Scholar]
  55. Zuntz, J., Paterno, M., Jennings, E., et al. 2015, Astron. Comput., 12, 45 [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.