Open Access
Issue
A&A
Volume 682, February 2024
Article Number A167
Number of page(s) 16
Section Numerical methods and codes
DOI https://doi.org/10.1051/0004-6361/202347007
Published online 23 February 2024
  1. Abbott, R., Abbott, T. D., Abraham, S., et al. 2021b, ApJ, 913, L7 [NASA ADS] [CrossRef] [Google Scholar]
  2. Abbott, B. P., Abbott, R., Abbott, T. D., et al. 2021b, ApJ, 909, 218 [NASA ADS] [CrossRef] [Google Scholar]
  3. Abbott, R., Abbott, T. D., Acernese, F., et al. 2023a, Phys. Rev. X, 13, 041039 [Google Scholar]
  4. Abbott, R., Abe, H., Acernese, F., et al. 2023b, ApJ, 949, 76 [NASA ADS] [CrossRef] [Google Scholar]
  5. Abbott, R., Abbott, T., Acernese, F., et al. 2023c, Phys. Rev. X, 13, 011048 [NASA ADS] [Google Scholar]
  6. Ashton, G., & Talbot, C. 2021, MNRAS, 507, 2037 [NASA ADS] [CrossRef] [Google Scholar]
  7. Ashton, G., Hübner, M., Lasky, P., & Talbot, C. 2019a, https://doi.org/10.5281/zenodo.2602178 [Google Scholar]
  8. Ashton, G., Hübner, M., Lasky, P. D., et al. 2019b, ApJS, 241, 27 [NASA ADS] [CrossRef] [Google Scholar]
  9. Astropy Collaboration (Price-Whelan, A. M., et al.) 2022, ApJ, 935, 167 [NASA ADS] [CrossRef] [Google Scholar]
  10. Belgacem, E., Calgani, G., Crisostomi, M., et al. 2019, J. Cosmol. Astropart. Phys., 07, 024 [CrossRef] [Google Scholar]
  11. Bovy, J., Hogg, D. W., & Roweis, S. T. 2011, Ann. Appl. Stat., 5, 1657 [Google Scholar]
  12. Chen, H.-Y. 2020, Phys. Rev. Lett, 125, 201301 [NASA ADS] [CrossRef] [Google Scholar]
  13. Collette, A. 2013, Python and HDF5 (O’Reilly Media, Inc.) [Google Scholar]
  14. Corman, M., Ghosh, A., Escamilla-Rivera, C, et al. 2022, Phys. Rev. D, 105, 064061 [NASA ADS] [CrossRef] [Google Scholar]
  15. Dalya, G., Díaz, R., Bouchet, F. R., et al. 2022, MNRAS, 514, 1403 [CrossRef] [Google Scholar]
  16. Del Pozzo, W. 2012, Phys. Rev. D, 86, 043011 [NASA ADS] [CrossRef] [Google Scholar]
  17. Ezquiaga, J. M. 2021, Phys. Lett. B, 822, 136665 [NASA ADS] [CrossRef] [Google Scholar]
  18. Ezquiaga, J. M., & Holz, D. E. 2022, Phys. Rev. Lett, 129, 061102 [NASA ADS] [CrossRef] [Google Scholar]
  19. Farr, W. M. 2019, Res. Notes AAS, 3, 66 [NASA ADS] [CrossRef] [Google Scholar]
  20. Finke, A., Foffa, S., Iacovelli, F., Maggiore, M., & Mancarella, M. 2021, J. Cosmol. Astropart. Phys., 2021, 026 [CrossRef] [Google Scholar]
  21. Foreman-Mackey, D., Hogg, D. W., & Morton, T. D. 2014, ApJ, 795, 64 [Google Scholar]
  22. Gair, J. R., Ghosh, A., Gray, R., et al. 2023, AJ, 166, 22 [NASA ADS] [CrossRef] [Google Scholar]
  23. Gonzalez, A. H., & Faber, S. M. 1997, ApJ, 485, 80 [NASA ADS] [CrossRef] [Google Scholar]
  24. Górski, K. M., Hivon, E., Banday, A. J., et al. 2005, ApJ, 622, 759 [Google Scholar]
  25. Gray, R., Hernandez, I. M., Qi, H, et al. 2020, Phys. Rev. D, 101, 122001 [NASA ADS] [CrossRef] [Google Scholar]
  26. Gray, R., Messenger, C, & Veitch, J. 2022, MNRAS, 512, 1127 [NASA ADS] [CrossRef] [Google Scholar]
  27. Gray, R., Beirnaert, F., Karathanasis, C, et al. 2023, J. Cosmol. Astropart. Phys., 2023, 023 [CrossRef] [Google Scholar]
  28. Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357 [NASA ADS] [CrossRef] [Google Scholar]
  29. Hinton, S. R. 2016, J. Open Source Softw., 1, 00045 [NASA ADS] [CrossRef] [Google Scholar]
  30. Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [NASA ADS] [CrossRef] [Google Scholar]
  31. Karathanasis, C, Mukherjee, S., & Mastrogiovanni, S. 2023a, MNRAS, 523, 4539 [NASA ADS] [Google Scholar]
  32. Karathanasis, C, Revenu, B., Mukherjee, S., & Stachurski, F. 2023b, A&A, 677, A124 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  33. Lagos, M., Fishbach, M., Landry, P., & Holz, D. E. 2019, Phys. Rev. D, 99, 083504 [NASA ADS] [CrossRef] [Google Scholar]
  34. Leyde, K., Mastrogiovanni, S., Steer, D. A., Chassande-Mottin, E., & Karathanasis, C. 2022, J. Cosmol. Astropart. Phys., 09, 012 [CrossRef] [Google Scholar]
  35. Liu, B., Li, Z., Zhao, S., Zhou, H., & Gao, H. 2023, ApJ, 943, 29 [NASA ADS] [CrossRef] [Google Scholar]
  36. Loredo, T. J., & Lamb, D. Q. 2002, Phys. Rev. D, 65, 063002 [NASA ADS] [CrossRef] [Google Scholar]
  37. Loredo, T. J., & Wasserman, I. M. 1998, ApJ, 502, 75 [NASA ADS] [CrossRef] [Google Scholar]
  38. Madau, P., & Dickinson, M. 2014, ARA&A, 52, 415 [Google Scholar]
  39. Malmquist, K. G. 1922, MeLuF, 100, 1 [NASA ADS] [Google Scholar]
  40. Mancarella, M., & Genoud-Prachex, E. 2022, https://doi.org/10.5281/zenodo.6323173 [Google Scholar]
  41. Mancarella, M., Genoud-Prachex, E., & Maggiore, M. 2022, Phys. Rev. D, 105, 064030 [NASA ADS] [CrossRef] [Google Scholar]
  42. Mandel, I., Farr, W. M., & Gair, J. R. 2019, MNRAS, 486, 1086 [Google Scholar]
  43. Mastrogiovanni, S., Leyde, K., Karathanasis, C, et al. 2021, Phys. Rev. D, 104, 062009 [NASA ADS] [CrossRef] [Google Scholar]
  44. Mastrogiovanni, S., Laghi, D., Gray, R., et al. 2023, Phys. Rev. D, 108, 042002 [NASA ADS] [CrossRef] [Google Scholar]
  45. Miller, S., Callister, T. A., & Farr, W. M. 2020, ApJ, 895, 128 [NASA ADS] [CrossRef] [Google Scholar]
  46. Okuta, R., Unno, Y., Nishino, D., Hido, S., & Loomis, C. 2017, in Proceedings of Workshop on Machine Learning Systems (LearningSys) in The Thirty-first Annual Conference on Neural Information Processing Systems (NIPS) [Google Scholar]
  47. Schmidt, P., Ohme, F., & Hannam, M. 2015, Phys. Rev. D, 91, 024043 [NASA ADS] [CrossRef] [Google Scholar]
  48. Schutz, B. F. 1986, Nature, 323, 310 [Google Scholar]
  49. Talbot, C, & Golomb, J. 2023, MNRAS, 526, 3495 [NASA ADS] [CrossRef] [Google Scholar]
  50. Talbot, C, Smith, R., Thrane, E., & Poole, G. B. 2019, Phys. Rev. D, 100, 043030 [NASA ADS] [CrossRef] [Google Scholar]
  51. Turski, C, Bilicki, M., Dálya, G., Gray, R., & Ghosh, A. 2023, MNRAS, 526, 6224 [NASA ADS] [CrossRef] [Google Scholar]
  52. Van Rossum, G. 2020, The Python Library Reference, release 3.8.2 (Python Software Foundation) [Google Scholar]
  53. Virtanen, P., Gommers, R., Oliphant, T. E., et al. 2020, Nat. Methods, 17, 261 [Google Scholar]
  54. Vitale, S., Gerosa, D., Farr, W. M., & Taylor, S. R. 2022, in Handbook of Gravitational Wave Astronomy (Berlin: Springer), 45 [Google Scholar]
  55. Winn, J. N., & Fabrycky, D. C. 2015, ARA&A, 53, 409 [Google Scholar]
  56. Wysocki, D., Lange, J., & O'Shaughnessy, R. 2019, Phys. Rev. D, 100, 043012 [NASA ADS] [CrossRef] [Google Scholar]
  57. Zheng, L.-M., Li, Z., Chen, Z.-C, Zhou, H., & Zhu, Z.-H. 2023, Phys. Lett. B, 838, 137720 [NASA ADS] [CrossRef] [Google Scholar]
  58. Zonca, A., Singer, L., Lenz, D., et al. 2019, J. Open Source Softw., 4, 1298 [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.