EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues Volume 665 (September 2022) A&A, 665 (2022) A59 References
Open Access
Issue
A&A
Volume 665, September 2022
Article Number A59
Number of page(s) 13
Section Extragalactic astronomy
DOI https://doi.org/10.1051/0004-6361/202243724
Published online 09 September 2022
  1. Aasi, J., Abbott, B. P., Abbott, R., et al. 2015, Class. Quant. Grav., 32, 074001 [Google Scholar]
  2. Abbott, B. P., Abbott, R., Abbott, T. D., et al. 2018, Liv. Rev. Relativ., 21, 3 [Google Scholar]
  3. Abbott, B. P., Abbott, R., Abbott, T. D., et al. 2019, Phys. Rev. X, 9, 031040 [Google Scholar]
  4. Abbott, R., Abbott, T. D., Abraham, S., et al. 2021a, Phys. Rev. X, 11, 021053 [Google Scholar]
  5. Abbott, R., Abbott, T. D., Acernese, F., et al. 2021b, ArXiv e-prints [arXiv:2108.01045] [Google Scholar]
  6. Abbott, R., Abbott, T. D., Acernese, F., et al. 2021c, ArXiv e-prints [arXiv:2111.03606] [Google Scholar]
  7. Abbott, R., Abbott, T. D., Acernese, F., et al. 2021d, ArXiv e-prints [arXiv:2111.03634] [Google Scholar]
  8. Abbott, R., Abbott, T. D., Abraham, S., et al. 2021e, ApJ, 913, L7 [NASA ADS] [CrossRef] [Google Scholar]
  9. Acernese, F., Agathos, M., Agatsuma, K., et al. 2015, Class. Quant. Grav., 32, 024001 [Google Scholar]
  10. Akutsu, T., Ando, M., Arai, K., et al. 2021, Progr. Theor. Exp. Phys., 2021, 05A101 [CrossRef] [Google Scholar]
  11. Astropy Collaboration (Price-Whelan, A. M., et al.) 2018, AJ, 156, 123 [Google Scholar]
  12. Barrett, J. W., Gaebel, S. M., Neijssel, C. J., et al. 2018, MNRAS, 477, 4685 [Google Scholar]
  13. Bavera, S. S., Fragos, T., Qin, Y., et al. 2020, A&A, 635, A97 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  14. Bavera, S. S., Fragos, T., Zevin, M., et al. 2021a, A&A, 647, A153 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  15. Bavera, S. S., Zevin, M., & Fragos, T. 2021b, Res. Notes Am. Astron. Soc., 5, 127 [Google Scholar]
  16. Bavera, S. S., Fragos, T., Zapartas, E., et al. 2022a, A&A, 657, L8 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  17. Bavera, S. S., Franciolini, G., Cusin, G., et al. 2022b, A&A, 660, A26 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  18. Belczynski, K., Klencki, J., Fields, C. E., et al. 2020, A&A, 636, A104 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  19. Biscoveanu, S., Callister, T. A., Haster, C.-J., et al. 2022, ApJ, 932, L19 [NASA ADS] [CrossRef] [Google Scholar]
  20. Breivik, K., Coughlin, S., Zevin, M., et al. 2020, ApJ, 898, 71 [Google Scholar]
  21. Broekgaarden, F. S., Berger, E., Stevenson, S., et al. 2022, MNRAS, in press [Google Scholar]
  22. Callister, T. A., Haster, C.-J., Ng, K. K. Y., Vitale, S., & Farr, W. M. 2021a, ApJ, 922, L5 [NASA ADS] [CrossRef] [Google Scholar]
  23. Callister, T. A., Farr, W. M., & Renzo, M. 2021b, ApJ, 920, 157 [NASA ADS] [CrossRef] [Google Scholar]
  24. Deheuvels, S., Doğan, G., Goupil, M. J., et al. 2014, A&A, 564, A27 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  25. du Buisson, L., Marchant, P., Podsiadlowski, P., et al. 2020, MNRAS, 499, 5941 [Google Scholar]
  26. Fishbach, M., Holz, D. E., & Farr, W. M. 2018, ApJ, 863, L41 [NASA ADS] [CrossRef] [Google Scholar]
  27. Fishbach, M., Doctor, Z., Callister, T., et al. 2021, ApJ, 912, 98 [NASA ADS] [CrossRef] [Google Scholar]
  28. Fragos, T., Andrews, J. J., Bavera, S. S., et al. 2022, ApJS, submitted [arXiv:2202.05892] [Google Scholar]
  29. Fragos, T., Andrews, J. J., Ramirez-Ruiz, E., et al. 2019, ApJ, 883, L45 [Google Scholar]
  30. Franciolini, G., & Pani, P. 2022, Phys. Rev. D, 105, 123024 [NASA ADS] [CrossRef] [Google Scholar]
  31. Fryer, C. L., Belczynski, K., Wiktorowicz, G., et al. 2012, ApJ, 749, 91 [Google Scholar]
  32. Fuller, J., & Lu, W. 2022, MNRAS, 511, 3951 [NASA ADS] [CrossRef] [Google Scholar]
  33. Galaudage, S., Talbot, C., Nagar, T., et al. 2021, ApJ, 921, L15 [NASA ADS] [CrossRef] [Google Scholar]
  34. Gallegos-Garcia, M., Berry, C. P. L., Marchant, P., & Kalogera, V. 2021, ApJ, 922, 110 [NASA ADS] [CrossRef] [Google Scholar]
  35. Gehan, C., Mosser, B., Michel, E., Samadi, R., & Kallinger, T. 2018, A&A, 616, A24 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  36. Gerosa, D., Berti, E., O’Shaughnessy, R., et al. 2018, Phys. Rev. D, 98, 084036 [Google Scholar]
  37. Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357 [NASA ADS] [CrossRef] [Google Scholar]
  38. Hild, S., Abernathy, M., Acernese, F., et al. 2011, Class. Quant. Grav., 28, 094013 [Google Scholar]
  39. Hotokezaka, K., & Piran, T. 2017, ApJ, 842, 111 [Google Scholar]
  40. Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [NASA ADS] [CrossRef] [Google Scholar]
  41. Hut, P. 1981, A&A, 99, 126 [NASA ADS] [Google Scholar]
  42. Ivanova, N., Justham, S., Chen, X., et al. 2013, A&ARv, 21, 59 [Google Scholar]
  43. Kalogera, V. 1996, ApJ, 471, 352 [Google Scholar]
  44. Klencki, J., Nelemans, G., Istrate, A. G., & Chruslinska, M. 2021, A&A, 645, A54 [EDP Sciences] [Google Scholar]
  45. Kurtz, D. W., Saio, H., Takata, M., et al. 2014, MNRAS, 444, 102 [Google Scholar]
  46. LIGO Scientific Collaboration, Virgo Collaboration and KAGRA Collaboration 2019, Parameter Estimation Sample Release for GWTC-1, https://dcc.ligo.org/LIGO-P1800370/public [Google Scholar]
  47. LIGO Scientific Collaboration, Virgo Collaboration and KAGRA Collaboration 2020, GWTC-2 Data Release: Parameter Estimation Samples and Skymaps, https://dcc.ligo.org/LIGO-P2000223/public/ [Google Scholar]
  48. LIGO Scientific Collaboration, Virgo Collaboration and KAGRA Collaboration 2021a, https://doi.org/10.5281/zenodo.5117703 [Google Scholar]
  49. LIGO Scientific Collaboration, Virgo Collaboration and KAGRA Collaboration 2021b, https://doi.org/10.5281/zenodo.5636816 [Google Scholar]
  50. LIGO Scientific Collaboration, Virgo Collaboration and KAGRA Collaboration 2021c, https://doi.org/10.5281/zenodo.5546663 [Google Scholar]
  51. Madau, P., & Dickinson, M. 2014, ARA&A, 52, 415 [Google Scholar]
  52. Madau, P., & Fragos, T. 2017, ApJ, 840, 39 [Google Scholar]
  53. Maggiore, M., Van Den Broeck, C., Bartolo, N., et al. 2020, JCAP, 2020, 050 [CrossRef] [Google Scholar]
  54. Mandel, I., & Broekgaarden, F. S. 2022, Liv. Rev. Relativ., 25, 1 [NASA ADS] [CrossRef] [Google Scholar]
  55. Mandel, I., & de Mink, S. E. 2016, MNRAS, 458, 2634 [NASA ADS] [CrossRef] [Google Scholar]
  56. Mandel, I., Farr, W. M., & Gair, J. R. 2019, MNRAS, 486, 1086 [Google Scholar]
  57. Marchant, P., Langer, N., Podsiadlowski, P., Tauris, T. M., & Moriya, T. J. 2016, A&A, 588, A50 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  58. Marchant, P., Renzo, M., Farmer, R., et al. 2019, ApJ, 882, 36 [Google Scholar]
  59. Marchant, P., Pappas, K. M. W., Gallegos-Garcia, M., et al. 2021, A&A, 650, A107 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  60. Miller, S., Callister, T. A., & Farr, W. M. 2020, ApJ, 895, 128 [NASA ADS] [CrossRef] [Google Scholar]
  61. Nelson, D., Pillepich, A., Genel, S., et al. 2015, Astron. Comput., 13, 12 [Google Scholar]
  62. Ng, K. K. Y., Vitale, S., Zimmerman, A., et al. 2018, Phys. Rev. D, 98, 083007 [NASA ADS] [CrossRef] [Google Scholar]
  63. Nugis, T., & Lamers, H. J. G. L. M. 2000, A&A, 360, 227 [NASA ADS] [Google Scholar]
  64. Olejak, A., & Belczynski, K. 2021, ApJ, 921, L2 [NASA ADS] [CrossRef] [Google Scholar]
  65. Paxton, B., Bildsten, L., Dotter, A., et al. 2011, ApJS, 192, 3 [Google Scholar]
  66. Paxton, B., Cantiello, M., Arras, P., et al. 2013, ApJS, 208, 4 [Google Scholar]
  67. Paxton, B., Marchant, P., Schwab, J., et al. 2015, ApJS, 220, 15 [Google Scholar]
  68. Paxton, B., Schwab, J., Bauer, E. B., et al. 2018, ApJS, 234, 34 [NASA ADS] [CrossRef] [Google Scholar]
  69. Paxton, B., Smolec, R., Schwab, J., et al. 2019, ApJS, 243, 10 [Google Scholar]
  70. Pérez, F., & Granger, B. E. 2007, Comput. Sci. Eng., 9, 21 [Google Scholar]
  71. Punturo, M., Abernathy, M., Acernese, F., et al. 2010, Class. Quant. Grav., 27, 194002 [Google Scholar]
  72. Qin, Y., Fragos, T., Meynet, G., et al. 2018, A&A, 616, A28 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  73. Quast, M., Langer, N., & Tauris, T. M. 2019, A&A, 628, A19 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  74. Reitze, D., Adhikari, R. X., Ballmer, S., et al. 2019, Bull. Am. Astron. Soc., 51, 35 [Google Scholar]
  75. Rodriguez, C. L., Zevin, M., Pankow, C., Kalogera, V., & Rasio, F. A. 2016, ApJ, 832, L2 [NASA ADS] [CrossRef] [Google Scholar]
  76. Roulet, J., Chia, H. S., Olsen, S., et al. 2021, Phys. Rev. D, 104, 083010 [NASA ADS] [CrossRef] [Google Scholar]
  77. Safarzadeh, M., Farr, W. M., & Ramirez-Ruiz, E. 2020, ApJ, 894, 129 [NASA ADS] [CrossRef] [Google Scholar]
  78. Salvatier, J., Wiecki, T. V., & Fonnesbeck, C. 2016, PeerJ Comput. Sci., 2, e55 [Google Scholar]
  79. Scott, D. W. 2015, Multivariate Density Estimation: Theory, Practice, and Visualization (Hoboken, NJ: John Wiley and Sons) [Google Scholar]
  80. Stevenson, S. 2022, ApJ, 926, L32 [NASA ADS] [CrossRef] [Google Scholar]
  81. Team COMPAS (Riley, J., et al.) 2022, ApJS, 258, 34 [NASA ADS] [CrossRef] [Google Scholar]
  82. Thrane, E., & Talbot, C. 2019, PASA, 36, e010 [NASA ADS] [CrossRef] [Google Scholar]
  83. Tiwari, V. 2022, ApJ, 928, 155 [NASA ADS] [CrossRef] [Google Scholar]
  84. Vink, J. S., de Koter, A., & Lamers, H. J. G. L. M. 2001, A&A, 369, 574 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  85. Virtanen, P., Gommers, R., Oliphant, T. E., et al. 2020, Nat. Meth., 17, 261 [Google Scholar]
  86. Vitale, S., Gerosa, D., Farr, W. M., & Taylor, S. R. 2022, in Handbook of Gravitational Wave Astronomy, Inferring the Properties of a Population of Compact Binaries in Presence of Selection Effects, 1 [Google Scholar]
  87. Zahn, J. P. 1977, A&A, 57, 383 [Google Scholar]
  88. Zevin, M., & Bavera, S. S. 2022, ApJ, 933, 86 [NASA ADS] [CrossRef] [Google Scholar]
  89. Zevin, M., Bavera, S. S., Berry, C. P. L., et al. 2021, ApJ, 910, 152 [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.