Open Access
| Issue |
A&A
Volume 708, April 2026
|
|
|---|---|---|
| Article Number | A175 | |
| Number of page(s) | 17 | |
| Section | Extragalactic astronomy | |
| DOI | https://doi.org/10.1051/0004-6361/202558828 | |
| Published online | 10 April 2026 | |
- Abac, A., Abramo, R., Albanesi, S., et al. 2025a, arXiv e-prints [arXiv:2503.12263] [Google Scholar]
- Abac, A. G., Abouelfettouh, I., Acernese, F., et al. 2025b, ApJ, 993, L25 [Google Scholar]
- Abac, A. G., Abouelfettouh, I., Acernese, F., et al. 2025c, Phys. Rev. Lett., 135, 111403 [Google Scholar]
- Ajith, P., Hannam, M., Husa, S., et al. 2011, Phys. Rev. Lett., 106, 241101 [NASA ADS] [CrossRef] [Google Scholar]
- Alléné, C., Aubin, F., Bentara, I., et al. 2025, Class. Quant. Grav., 42, 105009 [Google Scholar]
- Antonini, F., Gieles, M., & Gualandris, A. 2019, MNRAS, 486, 5008 [NASA ADS] [CrossRef] [Google Scholar]
- Arca Sedda, M., Amaro Seoane, P., & Chen, X. 2021, A&A, 652, A54 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Arca Sedda, M., Kamlah, A. W. H., Spurzem, R., et al. 2023, MNRAS, 526, 429 [NASA ADS] [CrossRef] [Google Scholar]
- Ashton, G. 2025, arXiv e-prints [arXiv:2510.11197] [Google Scholar]
- Ashton, G., Huebner, M., Lasky, P. D., et al. 2019, ApJS, 241, 27 [NASA ADS] [CrossRef] [Google Scholar]
- Aubin, F., Brighenti, F., Chierici, R., et al. 2021, Class. Quant. Grav., 38, 095004 [Google Scholar]
- Baibhav, V., Berti, E., Gerosa, D., et al. 2019, Phys. Rev. D, 100, 064060 [NASA ADS] [CrossRef] [Google Scholar]
- Belczynski, K., Ryu, T., Perna, R., et al. 2017, MNRAS, 471, 4702 [Google Scholar]
- Bini, S., Król, K., Chatziioannou, K., & Isi, M. 2026, arXiv e-prints [arXiv:2601.09678] [Google Scholar]
- Blackman, J., Field, S. E., Galley, C. R., et al. 2015, Phys. Rev. Lett., 115, 121102 [Google Scholar]
- Blinnikov, S., Dolgov, A., Porayko, N. K., & Postnov, K. 2016, JCAP, 11, 036 [Google Scholar]
- Borghi, N., Mancarella, M., Moresco, M., et al. 2024, ApJ, 964, 191 [Google Scholar]
- Bosi, M., Bellomo, N., & Raccanelli, A. 2023, JCAP, 11, 086 [Google Scholar]
- Branchesi, M., Maggiore, M., Alonso, D., et al. 2023, JCAP, 07, 068 [CrossRef] [Google Scholar]
- Buchner, J. 2022, Res. Notes AAS, 6, 89 [Google Scholar]
- Buonanno, A., & Damour, T. 1999, Phys. Rev. D, 59, 084006 [Google Scholar]
- Buonanno, A., & Damour, T. 2000, Phys. Rev. D, 62, 064015 [Google Scholar]
- Buonanno, A., Pan, Y., Baker, J. G., et al. 2007, Phys. Rev. D, 76, 104049 [Google Scholar]
- Canizares, P., Field, S. E., Gair, J., et al. 2015, Phys. Rev. Lett., 114, 071104 [Google Scholar]
- Carr, B. J. 1975, ApJ, 201, 1 [NASA ADS] [CrossRef] [Google Scholar]
- Carr, B., Kohri, K., Sendouda, Y., & Yokoyama, J. 2021, Rept. Prog. Phys., 84, 116902 [Google Scholar]
- CE Collaboration. 2022, CE 40-km baseline noise curve, https://dcc.cosmicexplorer.org/CE-T2000017/public [Google Scholar]
- Chan, J. C. L., Magaña Zertuche, L., Ezquiaga, J. M., et al. 2026, Phys. Rev. D, 113, 024041 [Google Scholar]
- Chapline, G. F. 1975, Nature, 253, 251 [NASA ADS] [CrossRef] [Google Scholar]
- Chatterjee, C., Kovalam, M., Wen, L., et al. 2023, ApJ, 959, 42 [Google Scholar]
- Chatziioannou, K., Dent, T., Fishbach, M., et al. 2024, arXiv e-prints [arXiv:2409.02037] [Google Scholar]
- Chen, H.-Y., Fishbach, M., & Holz, D. E. 2018, Nature, 562, 545 [Google Scholar]
- Christensen, N., & Meyer, R. 2022, Rev. Mod. Phys., 94, 025001 [NASA ADS] [CrossRef] [Google Scholar]
- Colleoni, M., Vidal, F. A. R., García-Quirós, C., Akçay, S., & Bera, S. 2025, Phys. Rev. D, 111, 104019 [Google Scholar]
- Cook, Samantha R. A. G. & Rubin, D. B. J. Comput. Graphical, 2006, Stat., 15, 675 [Google Scholar]
- Cornish, N. J. 2010, arXiv e-prints [arXiv:1007.4820] [Google Scholar]
- Cuoco, E., Powell, J., Cavaglià, M., et al. 2021, Mach. Learn.: Sci. Technol., 2, 011002 [Google Scholar]
- Dax, M., Green, S. R., Gair, J., et al. 2021a, arXiv e-prints [arXiv:2111.13139] [Google Scholar]
- Dax, M., Green, S. R., Gair, J., et al. 2021b, Phys. Rev. Lett., 127, 241103 [NASA ADS] [CrossRef] [Google Scholar]
- Dax, M., Green, S. R., Gair, J., et al. 2023, Phys. Rev. Lett., 130, 171403 [NASA ADS] [CrossRef] [Google Scholar]
- De Luca, V., Franciolini, G., Pani, P., & Riotto, A. 2020, JCAP, 06, 044 [CrossRef] [Google Scholar]
- De Santi, F., Razzano, M., Fidecaro, F., et al. 2024, Phys. Rev. D, 109, 102004 [Google Scholar]
- de Souza, J. M. S., & Sturani, R. 2023, Phys. Rev. D, 108, 043027 [Google Scholar]
- Del Pozzo, W. 2012, Phys. Rev. D, 86, 043011 [NASA ADS] [CrossRef] [Google Scholar]
- Dupletsa, U. 2025, Tutorial on GWFish+Priors, https://github.com/janosch314/GWFish/blob/main/priors_tutorial.ipynb, accessed: March 11, 2025 [Google Scholar]
- Elvira, V., & Martino, L. 2021, Advances in Importance Sampling (Wiley) [Google Scholar]
- ET Collaboration. 2023, ET 10-km and 15-km noise curve, https://apps.et-gw.eu/tds/?r=18213 [Google Scholar]
- Evans, M., Corsi, A., Afle, C., et al. 2023, arXiv e-prints [arXiv:2306.13745] [Google Scholar]
- Fairhurst, S. 2009, New J. Phys., 11, 123006 [Erratum: New J. Phys., 13, 069602 (2011)] [Google Scholar]
- Field, S. E., Galley, C. R., Hesthaven, J. S., Kaye, J., & Tiglio, M. 2014, Phys. Rev. X, 4, 031006 [Google Scholar]
- Finn, L. S. 1992, Phys. Rev. D, 46, 5236 [NASA ADS] [CrossRef] [Google Scholar]
- Fishbach, M., Holz, D. E., & Farr, B. 2017, ApJ, 840, L24 [NASA ADS] [CrossRef] [Google Scholar]
- Foley, J. D., van Dam, A., Feiner, S. K., & Hughes, J. F. 1996, Computer Graphics: Principles and Practice, 2nd edn. (Addison-Wesley) [Google Scholar]
- Franciolini, G., Musco, I., Pani, P., & Urbano, A. 2022, Phys. Rev. D, 106, 123526 [NASA ADS] [CrossRef] [Google Scholar]
- Franciolini, G., Iacovelli, F., Mancarella, M., et al. 2023, Phys. Rev. D, 108, 043506 [NASA ADS] [CrossRef] [Google Scholar]
- Gair, J. R., Ghosh, A., Gray, R., et al. 2023, AJ, 166, 22 [NASA ADS] [CrossRef] [Google Scholar]
- Gerosa, D., & Berti, E. 2017, Phys. Rev. D, 95, 124046 [NASA ADS] [CrossRef] [Google Scholar]
- Gerosa, D., & Fishbach, M. 2021, Nat. Astron., 5, 749 [NASA ADS] [CrossRef] [Google Scholar]
- Giersz, M., Leigh, N., Hypki, A., et al. 2015, MNRAS, 454, 3150 [Google Scholar]
- Gorski, K. M., Wandelt, B. D., Hansen, F. K., Hivon, E., & Banday, A. J. 1999, arXiv e-prints [arXiv:astro-ph/9905275] [Google Scholar]
- Górski, K. M., Hivon, E., Banday, A. J., et al. 2005, ApJ, 622, 759 [Google Scholar]
- Green, S. R., & Gair, J. 2021, Mach. Learn. Sci. Technol., 2, 03LT01 [Google Scholar]
- Green, S. R., Simpson, C., & Gair, J. 2020, Phys. Rev. D, 102, 104057 [NASA ADS] [CrossRef] [Google Scholar]
- Gültekin, K., Miller, M. C., & Hamilton, D. P. 2004, ApJ, 616, 221 [Google Scholar]
- Gupta, I., Afle, C., Arun, K., et al. 2024, Class. Quant. Grav., 41, 245001 [Google Scholar]
- Guth, A. H., & Sfakianakis, E. I. 2012, arXiv e-prints [arXiv:1210.8128] [Google Scholar]
- Hall, E. D., & Evans, M. 2019, Class. Quant. Grav., 36, 225002 [NASA ADS] [CrossRef] [Google Scholar]
- Hartigan, P. M. 1985, J. R. Stat. Soc. Ser. C (Appl. Stat.), 34, 320 [Google Scholar]
- Hartigan, J. A., & Hartigan, P. M. 1985, Ann. Stat., 13, 70 [Google Scholar]
- Hartwig, T., Volonteri, M., Bromm, V., et al. 2016, MNRAS, 460, L74 [NASA ADS] [CrossRef] [Google Scholar]
- Hawking, S. W. 1974, Nature, 248, 30 [CrossRef] [Google Scholar]
- Heinzel, J., & Vitale, S. 2025, arXiv e-prints [arXiv:2509.07221] [Google Scholar]
- Hu, Q., & Veitch, J. 2025, Phys. Rev. D, 112, 084039 [Google Scholar]
- Ivanov, P. 1998, Phys. Rev. D, 57, 7145 [NASA ADS] [CrossRef] [Google Scholar]
- Ivanov, P., Naselsky, P., & Novikov, I. 1994, Phys. Rev. D, 50, 7173 [CrossRef] [Google Scholar]
- Kandhasamy, S., & Bose, S. 2020, LIGO India Observatory (LIO) coordinate system for GW analyses, https://dcc.ligo.org/public/0167/T2000158/001/LIO_coordinateSystem.pdf [Google Scholar]
- Kinugawa, T., Nakamura, T., & Nakano, H. 2020, MNRAS, 498, 3946 [NASA ADS] [CrossRef] [Google Scholar]
- Klimenko, S., Mohanty, S., Rakhmanov, M., & Mitselmakher, G. 2006, J. Phys. Conf. Ser., 32, 12 [CrossRef] [Google Scholar]
- Kobyzev, I., Prince, S. J., & Brubaker, M. A. 2021, IEEE Trans. Pattern Anal. Mach. Intell., 43, 3964 [NASA ADS] [CrossRef] [Google Scholar]
- Kofler, A., Dax, M., Green, S. R., et al. 2025, arXiv e-prints [arXiv:2512.02968] [Google Scholar]
- Kong, A. 1992, A Note on Importance Sampling using Standardized Weights (University of Chicago, Dept. of Statistics), Tech. Rep 384 [Google Scholar]
- Kritos, K., Strokov, V., Baibhav, V., & Berti, E. 2024, Phys. Rev. D, 110, 043023 [Google Scholar]
- Kullback, S., & Leibler, R. A. 1951, Ann. Math. Stat., 22, 79 [CrossRef] [Google Scholar]
- Lanchares, D., Freitas, O. G., González-Nuevo, J., & Font, J. A. 2025, arXiv e-prints [arXiv:2505.08089] [Google Scholar]
- Lange, J., O’Shaughnessy, R., & Rizzo, M. 2018, arXiv e-prints [arXiv:1805.10457] [Google Scholar]
- Langendorff, J., Kolmus, A., Janquart, J., & Van Den Broeck, C. 2023, Phys. Rev. Lett., 130, 171402 [Google Scholar]
- Leslie, N., Dai, L., & Pratten, G. 2021, Phys. Rev. D, 104, 123030 [Google Scholar]
- Libanore, S., Artale, M. C., Karagiannis, D., et al. 2021, JCAP, 02, 035 [Google Scholar]
- LIGO Collaboration. 2020, A# sensitivity curve, https://dcc.ligo.org/LIGO-T2300041/public [Google Scholar]
- Lin, J. 1991, IEEE Trans. Inf. Theory, 37, 145 [Google Scholar]
- Liu, B., & Bromm, V. 2020, MNRAS, 495, 2475 [NASA ADS] [CrossRef] [Google Scholar]
- Mackay, D. J. C. 2003, Information Theory, Inference and Learning Algorithms (Cambridge University Press) [Google Scholar]
- Maggiore, M., Broeck, C. V. D., Bartolo, N., et al. 2020, J. Cosmol. Astropart. Phys., 2020, 050 [CrossRef] [Google Scholar]
- Maggiore, M., Iacovelli, F., Belgacem, E., Mancarella, M., & Muttoni, N. 2025, Class. Quant. Grav., 42, 215004 [Google Scholar]
- Mapelli, M. 2016, MNRAS, 459, 3432 [NASA ADS] [CrossRef] [Google Scholar]
- Marsat, S., Baker, J. G., & Dal Canton, T. 2021, Phys. Rev. D, 103, 083011 [NASA ADS] [CrossRef] [Google Scholar]
- Marx, E., Chatterjee, D., Desai, M., et al. 2025, arXiv e-prints [arXiv:2509.22561] [Google Scholar]
- Mascioli, A. F., Crescimbeni, F., Pacilio, C., Pani, P., & Pannarale, F. 2025, Phys. Rev. D, 112, 062003 [Google Scholar]
- Mestichelli, B., Mapelli, M., Torniamenti, S., et al. 2024, A&A, 690, A106 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Miller, M. C., & Hamilton, D. P. 2002, MNRAS, 330, 232 [Google Scholar]
- Morisaki, S. 2021, Phys. Rev. D, 104, 044062 [Google Scholar]
- Morras, G., Siles, J. F. N., & Garcia-Bellido, J. 2023, Phys. Rev. D, 108, 123025 [CrossRef] [Google Scholar]
- Narola, H., Janquart, J., Meijer, Q., Haris, K., & Van Den Broeck, C. 2024, Phys. Rev. D, 110, 084085 [Google Scholar]
- Narola, H., Wouters, T., Negri, L., et al. 2025, Phys. Rev. D, 112, 024079 [Google Scholar]
- Negri, L., & Samajdar, A. 2025, arXiv e-prints [arXiv:2509.17606] [Google Scholar]
- Ng, K. K. Y., Franciolini, G., Berti, E., et al. 2022, ApJ, 933, L41 [NASA ADS] [CrossRef] [Google Scholar]
- Owen, A. B. 2013, Monte Carlo theory, methods and examples, https://artowen.su.domains/mc/ [Google Scholar]
- Papamakarios, G., Nalisnick, E., Rezende, D. J., Mohamed, S., & Lakshminarayanan, B. 2021, J. Mach. Learn. Res., 22, 2617 [Google Scholar]
- Payne, E., Talbot, C., & Thrane, E. 2019, Phys. Rev. D, 100, 123017 [NASA ADS] [CrossRef] [Google Scholar]
- Perret, J., Aréne, M., & Porter, E. K. 2025, arXiv e-prints [arXiv:2505.02589] [Google Scholar]
- Planck Collaboration VI. 2020, A&A, 641, A6, [Erratum: A&A 652, C4 (2021)] [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Portegies Zwart, S. F., & McMillan, S. L. W. 2002, ApJ, 576, 899 [Google Scholar]
- Prathaban, M., Bevins, H., & Handley, W. 2025a, MNRAS, 541, 200 [Google Scholar]
- Prathaban, M., Yallup, D., Alvey, J., et al. 2025b, arXiv e-prints [arXiv:2509.04336] [Google Scholar]
- Pratten, G., García-Quirós, C., Colleoni, M., et al. 2021, Phys. Rev. D, 103, 104056 [NASA ADS] [CrossRef] [Google Scholar]
- Punturo, M., Abernathy, M., Acernese, F., et al. 2010, Class. Quant. Grav., 27, 194002 [Google Scholar]
- Ramos-Buades, A., Buonanno, A., & Gair, J. 2023, Phys. Rev. D, 108, 124063 [Google Scholar]
- Reitze, D., Adhikari, R. X., Ballmer, S., et al. 2019, Bull. Am. Astron. Soc., 51, 035 [Google Scholar]
- Rizzuto, F. P., Naab, T., Rantala, A., et al. 2023, MNRAS, 521, 2930 [NASA ADS] [CrossRef] [Google Scholar]
- Romano, J. D., & Cornish, N. J. 2017, Liv. Rev. Relat., 20, 2 [CrossRef] [Google Scholar]
- Romero-Shaw, I. M., Talbot, C., Biscoveanu, S., et al. 2020, MNRAS, 499, 3295 [NASA ADS] [CrossRef] [Google Scholar]
- Rubin, D. B. 1988, in Bayesian Statistics 3, eds. J. M. Bernardo, M. H. de Groot, D. V. Lindley, & A. F. M. Smith (Oxford, UK: Oxford University Press), 395 [Google Scholar]
- Santoliquido, F., Mapelli, M., Iorio, G., et al. 2023, MNRAS, 524, 307 [NASA ADS] [CrossRef] [Google Scholar]
- Santoliquido, F., Dupletsa, U., Tissino, J., et al. 2024, A&A, 690, A362 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Santoliquido, F., Tissino, J., Dupletsa, U., et al. 2025, Phys. Rev. D, 112, 103015 [Google Scholar]
- Schutz, B. F. 1986, Nature, 323, 310 [Google Scholar]
- Singer, L. P., & Price, L. R. 2016, Phys. Rev. D, 93, 024013 [CrossRef] [Google Scholar]
- Singer, L. P., Chen, H.-Y., Holz, D. E., et al. 2016a, ApJ, 829, L15 [NASA ADS] [CrossRef] [Google Scholar]
- Singer, L. P., Chen, H.-Y., Holz, D. E., et al. 2016b, ApJS, 226, 10 [NASA ADS] [CrossRef] [Google Scholar]
- Singh, N., & Bulik, T. 2021, Phys. Rev. D, 104, 043014 [NASA ADS] [CrossRef] [Google Scholar]
- Singh, N., & Bulik, T. 2022, Phys. Rev. D, 106, 123014 [NASA ADS] [CrossRef] [Google Scholar]
- Skilling, J. 2004, AIP Conf. Proc., 735, 395 [Google Scholar]
- Smith, R. J. E., Ashton, G., Vajpeyi, A., & Talbot, C. 2020, MNRAS, 498, 4492 [Google Scholar]
- Smith, R., Borhanian, S., Sathyaprakash, B., et al. 2021, Phys. Rev. Lett., 127, 081102 [Google Scholar]
- Srinivasan, R., Barausse, E., Korsakova, N., & Trotta, R. 2025, Phys. Rev. D, 112, 103043 [Google Scholar]
- Stone, N. C., Küpper, A. H. W., & Ostriker, J. P. 2017, MNRAS, 467, 4180 [NASA ADS] [Google Scholar]
- Talbot, C., & Golomb, J. 2023, MNRAS, 526, 3495 [NASA ADS] [CrossRef] [Google Scholar]
- Talts, S., Betancourt, M., Simpson, D., Vehtari, A., & Gelman, A. 2020, Validating Bayesian Inference Algorithms with Simulation-Based Calibration, https://arxiv.org/abs/1804.06788 [Google Scholar]
- Tanikawa, A., Chiaki, G., Kinugawa, T., Suwa, Y., & Tominaga, N. 2022, PASJ, 74, 521 [NASA ADS] [CrossRef] [Google Scholar]
- Thompson, J. E., Hamilton, E., London, L., et al. 2024, Phys. Rev. D, 109, 063012 [Google Scholar]
- Thrane, E., & Talbot, C. 2019, PASA, 36, e010 [Erratum: PASA, 37, e036 (2020)] [NASA ADS] [CrossRef] [Google Scholar]
- Tissino, J., Carullo, G., Breschi, M., et al. 2023, Phys. Rev. D, 107, 084037 [CrossRef] [Google Scholar]
- Tokdar, S. T., & Kass, R. E. 2010, WIREs Comp. Stats., 2, 54 [Google Scholar]
- Unnikrishnan, C. S. 2013, Int. J. Mod. Phys. D, 22, 1341010 [Google Scholar]
- Usman, S. A., Mills, J. C., & Fairhurst, S. 2019, ApJ, 877, 82 [NASA ADS] [CrossRef] [Google Scholar]
- van der Sluys, M. V., Röver, C., Stroeer, A., et al. 2008, ApJ, 688, L61 [Google Scholar]
- van der Sluys, M., Mandel, I., Raymond, V., et al. 2009, Class. Quant. Grav., 26, 204010 [Google Scholar]
- Varma, V., Field, S. E., Scheel, M. A., et al. 2019, Phys. Rev. Res., 1, 033015 [NASA ADS] [CrossRef] [Google Scholar]
- Varma, V., Isi, M., Biscoveanu, S., Farr, W. M., & Vitale, S. 2022, Phys. Rev. D, 105, 024045 [Google Scholar]
- Veitch, J., Raymond, V., Farr, B., et al. 2015, Phys. Rev. D, 91, 042003 [NASA ADS] [CrossRef] [Google Scholar]
- Vinciguerra, S., Veitch, J., & Mandel, I. 2017, Class. Quant. Grav., 34, 115006 [Google Scholar]
- Wang, L., Tanikawa, A., & Fujii, M. 2022, MNRAS, 515, 5106 [NASA ADS] [CrossRef] [Google Scholar]
- Wildberger, J. B., Dax, M., Buchholz, S., et al. 2023, in Machine Learning for Astrophysics, 34 [Google Scholar]
- Williams, M. J. 2021, https://doi.org/10.5281/zenodo.4550693 [Google Scholar]
- Williams, M. J., Veitch, J., & Messenger, C. 2021, Phys. Rev. D, 103, 103006 [NASA ADS] [CrossRef] [Google Scholar]
- Williams, M. J., Veitch, J., & Messenger, C. 2023, Mach. Learn.: Sci. Technol., 4, 035011 [NASA ADS] [CrossRef] [Google Scholar]
- Wong, K. W. K., Gabrié, M., & Foreman-Mackey, D. 2023a, J. Open Source Softw., 8, 5021 [Google Scholar]
- Wong, K. W. K., Isi, M., & Edwards, T. D. P. 2023b, ApJ, 958, 129 [NASA ADS] [CrossRef] [Google Scholar]
- Wouters, T., Pang, P. T. H., Dietrich, T., & Van Den Broeck, C. 2024, Phys. Rev. D, 110, 083033 [NASA ADS] [CrossRef] [Google Scholar]
- Wouters, T., Pang, P. T. H., Dietrich, T., & Van Den Broeck, C. 2025, arXiv e-prints [arXiv:2511.22987] [Google Scholar]
- Zackay, B., Dai, L., & Venumadhav, T. 2018, arXiv e-prints [arXiv:1806.08792] [Google Scholar]
- Zel’dovich, Y. B., & Novikov, I. D. 1967, Sov. Astron., 10, 602 [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.