Open Access
Issue |
A&A
Volume 696, April 2025
|
|
---|---|---|
Article Number | A114 | |
Number of page(s) | 17 | |
Section | Numerical methods and codes | |
DOI | https://doi.org/10.1051/0004-6361/202453314 | |
Published online | 11 April 2025 |
- Alsing, J., Charnock, T., Feeney, S., & Wandelt, B. 2019, MNRAS, 488, 4440 [Google Scholar]
- Barret, D., & Dupourqué, S. 2024, A&A, 686, A133 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Bates, S. D., Lorimer, D. R., Rane, A., & Swiggum, J. 2014, MNRAS, 439, 2893 [NASA ADS] [CrossRef] [Google Scholar]
- Bhardwaj, U., Alvey, J., Miller, B. K., Nissanke, S., & Weniger, C. 2023, Phys. Rev. D, 108, 042004 [Google Scholar]
- Chen, K., & Ruderman, M. 1993, ApJ, 402, 264 [NASA ADS] [CrossRef] [Google Scholar]
- Cieślar, M., Bulik, T., & Osłowski, S. 2020, MNRAS, 492, 4043 [Google Scholar]
- Coleman, M. S. B., & Burrows, A. 2022, MNRAS, 517, 3938 [NASA ADS] [CrossRef] [Google Scholar]
- Cook, S., Gelman, A., & Rubin, D. 2006, J. Comput. Graph. Stat., 15, 675 [CrossRef] [Google Scholar]
- Cranmer, K., Brehmer, J., & Louppe, G. 2020, Proc. Natl. Acad. Sci., 117, 30055 [Google Scholar]
- Dai, S., Johnston, S., & Hobbs, G. 2017, MNRAS, 472, 1458 [NASA ADS] [CrossRef] [Google Scholar]
- Dask Development Team 2016, Dask: Library for dynamic task scheduling [Google Scholar]
- Dax, M., Green, S. R., Gair, J., et al. 2021, Phys. Rev. Lett., 127, 241103 [NASA ADS] [CrossRef] [Google Scholar]
- Deistler, M., Goncalves, P. J., & Macke, J. H. 2022, in Advances in Neural Information Processing Systems, eds. S. Koyejo, S. Mohamed, A. Agarwal, et al. (UK: Curran Associates, Inc.), 35, 23135 [Google Scholar]
- Edwards, R. T., Bailes, M., Van Straten, W., & Britton, M. C. 2001, MNRAS, 326, 358 [NASA ADS] [CrossRef] [Google Scholar]
- Faucher-Giguère, C.-A. & Kaspi, V. M. 2006, ApJ, 643, 332 [CrossRef] [Google Scholar]
- Goldreich, P., & Julian, W. H. 1969, ApJ, 157, 869 [Google Scholar]
- Gonthier, P. L., Story, S. A., Clow, B. D., & Harding, A. K. 2007, Ap&SS, 309, 245 [NASA ADS] [CrossRef] [Google Scholar]
- Graber, V., Ronchi, M., Pardo-Araujo, C., & Rea, N. 2024, ApJ, 968, 16 [CrossRef] [Google Scholar]
- Greenberg, D. S., Nonnenmacher, M., & Macke, J. H. 2019, arXiv e-prints [arXiv:1905.07488] [Google Scholar]
- Gullón, M., Miralles, J. A., Viganò, D., & Pons, J. A. 2014, MNRAS, 443, 1891 [CrossRef] [Google Scholar]
- Gullón, M., Pons, J. A., Miralles, J. A., et al. 2015, MNRAS, 454, 615 [CrossRef] [Google Scholar]
- He, K., Zhang, X., Ren, S., & Sun, J. 2015, arXiv e-prints [arXiv:1502.01852] [Google Scholar]
- Hermans, J., Begy, V., & Louppe, G. 2019, arXiv e-prints [arXiv:1903.04057] [Google Scholar]
- Hermans, J., Delaunoy, A., Rozet, F., et al. 2021, arXiv e-prints [arXiv:2110.06581] [Google Scholar]
- Hobbs, G., Lorimer, D. R., Lyne, A. G., & Kramer, M. 2005, MNRAS, 360, 974 [Google Scholar]
- Igoshev, A. P. 2020, MNRAS, 494, 3663 [NASA ADS] [CrossRef] [Google Scholar]
- Igoshev, A. P., Frantsuzova, A., Gourgouliatos, K. N., et al. 2022, MNRAS, 514, 4606 [CrossRef] [Google Scholar]
- Jacoby, B. A., Bailes, M., Ord, S. M., Edwards, R. T., & Kulkarni, S. R. 2009, ApJ, 699, 2009 [NASA ADS] [CrossRef] [Google Scholar]
- Janka, H.-T., Wongwathanarat, A., & Kramer, M. 2022, ApJ, 926, 9 [NASA ADS] [CrossRef] [Google Scholar]
- Jankowski, F., van Straten, W., Keane, E. F., et al. 2018, MNRAS, 473, 4436 [Google Scholar]
- Johnston, S., Karastergiou, A., Keith, M. J., et al. 2020, MNRAS, 493, 3608 [NASA ADS] [CrossRef] [Google Scholar]
- Keith, M. J., Jameson, A., van Straten, W., et al. 2010, MNRAS, 409, 619 [Google Scholar]
- Kingma, D. P., & Ba, J. 2014, arXiv e-prints [arXiv:1412.6980] [Google Scholar]
- Lorimer, D. R. 2004, IAU Symp., 218, 105 [NASA ADS] [Google Scholar]
- Lorimer, D. R., & Kramer, M. 2012, Handbook of Pulsar Astronomy (Cambridge: Cambridge University Press) [Google Scholar]
- Lorimer, D. R., Bailes, M., Dewey, R. J., & Harrison, P. A. 1993, MNRAS, 263, 403 [Google Scholar]
- Lorimer, D. R., Faulkner, A. J., Lyne, A. G., et al. 2006, MNRAS, 372, 777 [NASA ADS] [CrossRef] [Google Scholar]
- Lueckmann, J.-M., Goncalves, P. J., Bassetto, G., et al. 2017, arXiv e-prints [arXiv:1711.01861] [Google Scholar]
- Manchester, R. N., Lyne, A. G., Camilo, F., et al. 2001, MNRAS, 328, 17 [NASA ADS] [CrossRef] [Google Scholar]
- Manchester, R. N., Hobbs, G. B., Teoh, A., & Hobbs, M. 2005, AJ, 129, 1993 [Google Scholar]
- Miller, B., Cole, A., Forré, P., Louppe, G., & Weniger, C. 2021, Adv. Neural Inform. Process. Sys., 34, 129 [Google Scholar]
- Mishra-Sharma, S., & Cranmer, K. 2022, Phys. Rev. D, 105, 063017 [NASA ADS] [CrossRef] [Google Scholar]
- Narayan, R., & Ostriker, J. P. 1990, ApJ, 352, 222 [NASA ADS] [CrossRef] [Google Scholar]
- Pacilio, C., Bhagwat, S., & Cotesta, R. 2024, Phys. Rev. D, 110, 083010 [Google Scholar]
- Papamakarios, G., & Murray, I. 2016, arXiv e-prints [arXiv:1605.06376] [Google Scholar]
- Papamakarios, G., Sterratt, D. C., & Murray, I. 2018, arXiv e-prints [arXiv:1805.07226] [Google Scholar]
- Philippov, A., Tchekhovskoy, A., & Li, J. G. 2014, MNRAS, 441, 1879 [NASA ADS] [CrossRef] [Google Scholar]
- Popov, S. B., Pons, J. A., Miralles, J. A., Boldin, P. A., & Posselt, B. 2010, MNRAS, 401, 2675 [NASA ADS] [CrossRef] [Google Scholar]
- Posselt, B., Karastergiou, A., Johnston, S., et al. 2023, MNRAS, 520, 4582 [NASA ADS] [CrossRef] [Google Scholar]
- Rozwadowska, K., Vissani, F., & Cappellaro, E. 2021, New Astron., 83, 101498 [NASA ADS] [CrossRef] [Google Scholar]
- Rubin, D. 1987, Bayesian Stat., 3 [Google Scholar]
- Ruderman, M. A., & Sutherland, P. G. 1975, ApJ, 196, 51 [Google Scholar]
- Russ, J. C. 2011, The Image Processing Handbook, 6th edn. (USA: CRC Press, Inc.) [Google Scholar]
- Sautron, M., Pétri, J., Mitra, D., & Dirson, L. 2024, A&A, 691, A349 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Saxena, A., Meerburg, P. D., Weniger, C., de Lera Acedo, E., & Handley, W. 2024, RAS Techniques and Instruments, 3, 724 [Google Scholar]
- Sengar, R., Bailes, M., Balakrishnan, V., et al. 2023, MNRAS, 522, 1071 [NASA ADS] [CrossRef] [Google Scholar]
- Shi, Z., & Ng, C. Y. 2024, ApJ, 972, 78 [NASA ADS] [CrossRef] [Google Scholar]
- Smith, A. F. M., & Gelfand, A. E. 1992, Am. Stat., 46, 84 [Google Scholar]
- Song, X., Weltevrede, P., Szary, A., et al. 2023, MNRAS, 520, 4562 [NASA ADS] [CrossRef] [Google Scholar]
- Spitkovsky, A. 2006, ApJ, 648, L51 [Google Scholar]
- Spurio Mancini, A., Docherty, M. M., Price, M. A., & McEwen, J. D. 2023, RAS Tech. Instrum., 2, 710 [Google Scholar]
- Stuart, A., & Ord, J. K. 1994, Kendall’s Advanced Theory of Statistics, Distribution theory (Hoboken: John Wiley & Sons Inc) [Google Scholar]
- Tejero-Cantero, A., Boelts, J., Deistler, M., et al. 2020, J. Open Source Softw., 5, 2505 [NASA ADS] [CrossRef] [Google Scholar]
- Vasist, M., Rozet, F., Absil, O., et al. 2023, A&A, 672, A147 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Viganò, D., Rea, N., Pons, J. A., et al. 2013, MNRAS, 434, 123 [CrossRef] [Google Scholar]
- Viganò, D., Garcia-Garcia, A., Pons, J. A., Dehman, C., & Graber, V. 2021, Comput. Phys. Commun., 265, 108001 [CrossRef] [Google Scholar]
- Xu, K., Yang, H.-R., Mao, Y.-H., et al. 2023, ApJ, 947, 76 [NASA ADS] [CrossRef] [Google Scholar]
- Yao, J. M., Manchester, R. N., & Wang, N. 2017, ApJ, 835, 29 [NASA ADS] [CrossRef] [Google Scholar]
- Zhang, B., Harding, A. K., & Muslimov, A. G. 2000, ApJ, 531, L135 [NASA ADS] [CrossRef] [Google Scholar]
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