Open Access
| Issue |
A&A
Volume 701, September 2025
|
|
|---|---|---|
| Article Number | A286 | |
| Number of page(s) | 20 | |
| Section | Numerical methods and codes | |
| DOI | https://doi.org/10.1051/0004-6361/202554596 | |
| Published online | 26 September 2025 | |
- Acciarini, G., Baydin, A. G., & Izzo, D. 2025, Acta Astronaut., 226, 694 [Google Scholar]
- Akeret, J., Chang, C., Lucchi, A., & Refregier, A. 2017, Astron. Comput., 18, 35 [NASA ADS] [CrossRef] [Google Scholar]
- Anstey, D., & Leeney, S. A. K. 2024, RAS Tech. Instrum., 3, 372 [Google Scholar]
- Astropy Collaboration (Robitaille, T. P., et al.) 2013, A&A, 558, A33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Astropy Collaboration (Price-Whelan, A. M., et al.) 2018, AJ, 156, 123 [Google Scholar]
- Astropy Collaboration (Price-Whelan, A. M., et al.) 2022, ApJ, 935, 167 [NASA ADS] [CrossRef] [Google Scholar]
- Athreya, R. 2009, ApJ, 696, 885 [Google Scholar]
- Bassa, C. G., Di Vruno, F., Winkel, B., et al. 2024, A&A, 689, L10 [Google Scholar]
- Betancourt, M. J., & Girolami, M. 2015, Hamiltonian Monte Carlo for Hierarchical Models (Chapman and Hall/CRC), 79 [Google Scholar]
- Blei, D. M., Kucukelbir, A., & McAuliffe, J. D. 2017, J. Am. Statist. Assoc., 112, 859 [Google Scholar]
- Bradbury, J., Frostig, R., Hawkins, P., et al. 2018, JAX: composable transformations of Python+NumPy programs [Google Scholar]
- Briggs, F. H., & Kocz, J. 2005, Radio Sci., 40 [Google Scholar]
- Brooks, S., Gelman, A., Jones, G., & Meng, X. 2011, Handbook of Markov Chain Monte Carlo (Chapman and Hall/CRC) [Google Scholar]
- Cunnington, S., Li, Y., Santos, M. G., et al. 2022, MNRAS, 518, 6262 [Google Scholar]
- Di Vruno, F., Winkel, B., Bassa, C. G., et al. 2023, A&A, 676, A75 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Engelbrecht, B. N., Santos, M. G., Fonseca, J., et al. 2024, MNRAS, 536, 1035 [Google Scholar]
- Finlay, C., Bassett, B. A., Kunz, M., & Oozeer, N. 2023, MNRAS, 524, 3231 [Google Scholar]
- Fridman, P. A., & Baan, W. A. 2001, A&A, 378, 327 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Grigg, D., Tingay, S. J., Sokolowski, M., et al. 2023, A&A, 678, L6 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Helmboldt, J. F., Kooi, J. E., Ray, P. S., et al. 2019, Radio Sci., 54, 1002 [Google Scholar]
- Hoffman, Y., & Ribak, E. 1991, ApJ, 380, L5 [NASA ADS] [CrossRef] [Google Scholar]
- Hoots, F. R., & Roehrich, R. L. 1980, Models for Propagation of NORAD Element Sets (Defense Technical Information Center) [Google Scholar]
- Intema, H. T., van der Tol, S., Cotton, W. D., et al. 2009, A&A, 501, 1185 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Intema, H. T., van Weeren, R. J., Röttgering, H. J. A., & Lal, D. V. 2011, A&A, 535, A38 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Jonas, J. 2018, in Proceedings of MeerKAT Science: On the Pathway to the SKA — PoS(MeerKAT2016), MeerKAT2016 (Sissa Medialab), 001 [Google Scholar]
- Jozsa, G. I., White, S. V., Thorat, K., et al. 2020, in ASP Conf. Ser., 527, ADASS XXIX, eds. R. Pizzo, E. Deul, J.-D. Mol, J. de Plaa, & H. Verkouter, 635 [Google Scholar]
- Kerrigan, J., Plante, P. L., Kohn, S., et al. 2019, MNRAS, 488, 2605 [Google Scholar]
- Kesteven, M. 2010, in Proceedings of RFI Mitigation Workshop – PoS(RFI2010), RFI2010 (Sissa Medialab), 007 [Google Scholar]
- Kingma, D. P., & Welling, M. 2013, arXiv e-prints [arXiv: 1312.6114] [Google Scholar]
- Knollmüller, J., & Enßlin, T. A. 2019, arXiv e-prints [arXiv:1901.11033] [Google Scholar]
- Kocz, J., Briggs, F. H., & Reynolds, J. 2010, AJ, 140, 2086 [NASA ADS] [CrossRef] [Google Scholar]
- Kogan, L. 2010, in Proceedings of RFI Mitigation Workshop – PoS(RFI2010), RFI2010 (Sissa Medialab), 037 [Google Scholar]
- Kunz, M., Bassett, B. A., & Hlozek, R. A. 2007, Phys. Rev. D, 75 [Google Scholar]
- Lawrence, N., Seeger, M., & Herbrich, R. 2002, Adv. Neural Inform. Process. Syst., 15, 625 [Google Scholar]
- Leeney, S. A. K., Handley, W. J., & Acedo, E. D. L. 2023, Phys. Rev. D, 108 [Google Scholar]
- Mauch, T., Cotton, W. D., Condon, J. J., et al. 2020, ApJ, 888, 61 [Google Scholar]
- Mhiri, Y., El Korso, M. N., Breloy, A., & Larzabal, P. 2022, Signal Process., 199, 108613 [Google Scholar]
- Mhiri, Y., El Korso, M. N., Breloy, A., & Larzabal, P. 2024, Signal Process., 220, 109430 [Google Scholar]
- Mitchell, D. A., & Robertson, J. G. 2005, Radio Sci., 40 [Google Scholar]
- Mohan, N., & Rafferty, D. 2015, Astrophysics Source Code Library [record ascl:1502.007] [Google Scholar]
- Mosiane, O., Oozeer, N., & Bassett, B. A. 2016, in 2016 IEEE Radio and Antenna Days of the Indian Ocean (RADIO) (IEEE), 1 [Google Scholar]
- Napier, P. J., Thompson, A. R., & Ekers, R. D. 1983, Proc. IEEE, 71, 1295 [Google Scholar]
- Offringa, A. R. 2010, Astrophysics Source Code Library [record ascl:1010.017] [Google Scholar]
- Offringa, A. R., de Bruyn, A. G., Biehl, M., et al. 2010, MNRAS [Google Scholar]
- Offringa, A. R., de Bruyn, A. G., & Zaroubi, S. 2012, MNRAS, 422, 563 [CrossRef] [Google Scholar]
- Offringa, A. R., McKinley, B., Hurley-Walker, N., et al. 2014, MNRAS, 444, 606 [Google Scholar]
- Offringa, A. R., Mertens, F., & Koopmans, L. V. E. 2019, MNRAS, 484, 2866 [CrossRef] [Google Scholar]
- Papandreou, G., & Yuille, A. L. 2010, Adv. Neural Inform. Process. Syst., 23 [Google Scholar]
- Perley, R. A., & Cornwell, T. 2003, EVLA Memo Ser., 61 [Google Scholar]
- Rasmussen, C. E., & Williams, C. K. I. 2005, Gaussian Processes for Machine Learning (The MIT Press) [Google Scholar]
- Rau, U., Bhatnagar, S., Voronkov, M. A., & Cornwell, T. J. 2009, Proc. IEEE, 97, 1472 [NASA ADS] [CrossRef] [Google Scholar]
- Roth, J., Arras, P., Reinecke, M., et al. 2023, A&A, 678, A177 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Sadler, E. M., Ekers, R. D., Mahony, E. K., Mauch, T., & Murphy, T. 2013, MNRAS, 438, 796 [NASA ADS] [CrossRef] [Google Scholar]
- Selina, R., Rau, U., Hiriart, R., & Erickson, A. 2020, ngVLA Memo Series [Google Scholar]
- Shewchuk, J. R., et al. 1994, An Introduction to the Conjugate Gradient Method Without the Agonizing Pain, Tech. rep., Carnegie-Mellon University [Google Scholar]
- Shiyu, Z., Zhuang, W., Mengnan, W., & Zhu, C. 2016, in 2016 IEEE International Conference on Digital Signal Processing (DSP) (IEEE), 62 [Google Scholar]
- Sihlangu, I., Oozeer, N., & Bassett, B. A. 2021, J. Astron. Telesc. Instrum. Syst., 8 [Google Scholar]
- Simpson, C. 2017, Roy. Soc. Open Sci., 4, 170522 [Google Scholar]
- Smirnov, O. M. 2011a, A&A, 527, A106 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Smirnov, O. M. 2011b, A&A, 527, A107 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Thompson, A. R., Moran, J. M., & Swenson, G. W. 2017, Interferometry and Synthesis in Radio Astronomy (Springer International Publishing) [Google Scholar]
- Tierney, L., & Kadane, J. B. 1986, J. Am. Statist. Assoc., 81, 82 [Google Scholar]
- Tucci, M., & Toffolatti, L. 2021, A&A, 650, A127 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Vafaei Sadr, A., Bassett, B. A., Oozeer, N., Fantaye, Y., & Finlay, C. 2020, MNRAS, 499, 379 [NASA ADS] [CrossRef] [Google Scholar]
- Witze, A. 2025, Nature, 639, 564 [Google Scholar]
- Zhang, X., Cognard, I., & Dobigeon, N. 2024, Astron. Comput., 47, 100822 [Google Scholar]
- Zhuang, J., Tang, T., Ding, Y., et al. 2020, Adv. Neural Inform. Process. Syst., 33, 18795 [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.