Open Access
| Issue |
A&A
Volume 633, January 2020
|
|
|---|---|---|
| Article Number | A77 | |
| Number of page(s) | 14 | |
| Section | Numerical methods and codes | |
| DOI | https://doi.org/10.1051/0004-6361/201935668 | |
| Published online | 14 January 2020 | |
- Arora, B. S., Morgan, J., Ord, S. M., et al. 2016, PASA, 33, e031 [NASA ADS] [CrossRef] [Google Scholar]
- Bilitza, D., & Reinisch, B. W. 2008, Adv. Space Res., 42, 599 [NASA ADS] [CrossRef] [Google Scholar]
- Bouman, K. L., Johnson, M. D., Zoran, D., et al. 2016, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 913 [Google Scholar]
- Byrd, R., Lu, P., Nocedal, J., & Zhu, C. 1995, SIAM J. Sci. Comput., 16, 1190 [CrossRef] [MathSciNet] [Google Scholar]
- Cargill, P. J. 2007, Plasma Phys. Controlled Fusion, 49, 197 [CrossRef] [Google Scholar]
- Cohen, M. H. 1973, IEEE Proc., 61, 1192 [NASA ADS] [CrossRef] [Google Scholar]
- de Gasperin, F., Mevius, M., Rafferty, D., Intema, H., & Fallows, R. 2018, A&A, 615, A179 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Hamaker, J. P., Bregman, J. D., & Sault, R. J. 1996, A&AS, 117, 137 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Harrison, I., Camera, S., Zuntz, J., & Brown, M. L. 2016, MNRAS, 463, 3674 [NASA ADS] [CrossRef] [Google Scholar]
- Hendriks, J. N., Jidling, C., Wills, A., & Schön, T. B. 2018, ArXiv e-prints [arXiv:1812.07319] [Google Scholar]
- Hurley-Walker, N., Callingham, J. R., Hancock, P. J., et al. 2017, MNRAS, 464, 1146 [NASA ADS] [CrossRef] [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]
- Jeffreys, H. 1925, Proc. London Math. Soc., s2-23, 428 [CrossRef] [Google Scholar]
- Jidling, C., Hendriks, J., Wahlström, N., et al. 2018, Nucl. Instrum. Methods Phys. Res. Sect. B: Beam Interact. Mater. Atoms, 436, 141 [NASA ADS] [CrossRef] [Google Scholar]
- Jones, R. C. 1941, J. Opt. Soc. Am. (1917–1983), 31, 488 [NASA ADS] [CrossRef] [Google Scholar]
- Jordan, C. H., Murray, S., Trott, C. M., et al. 2017, MNRAS, 471, 3974 [NASA ADS] [CrossRef] [Google Scholar]
- Kazemi, S., Yatawatta, S., Zaroubi, S., et al. 2011, MNRAS, 414, 1656 [NASA ADS] [CrossRef] [Google Scholar]
- Keller, J., Bellman, R., & Society, A. M. 1964, in Stochastic Equations and Wave Propagation in Random Media (Providence, RI: American Mathematical Society), Proceedings of Symposia in Applied Mathematics [Google Scholar]
- Kivelson, M. G., & Russell, C. T. 1995, Introduction to Space Physics (Cambridge, UK: Cambridge University Press), 586 [Google Scholar]
- Kolmogorov, A. N. 1956, Foundations of the Theory of Probability, 2nd edn. (New York: Chelsea Pub. Co.) [Google Scholar]
- Kolmogorov, A. N. 1991, Proc. R. Soc. London Ser. A, 434, 9 [NASA ADS] [CrossRef] [MathSciNet] [Google Scholar]
- Koopmans, L. V. E. 2010, ApJ, 718, 963 [NASA ADS] [CrossRef] [Google Scholar]
- Loi, S. T., Murphy, T., Cairns, I. H., et al. 2015, Geophys. Res. Lett., 42, 3707 [NASA ADS] [CrossRef] [Google Scholar]
- Matthews, A. G. D. G., van der Wilk, M., Nickson, T., et al. 2017, J. Mach. Learn. Res., 18, 1 [Google Scholar]
- Mevius, M., van der Tol, S., Pandey, V. N., et al. 2016, Radio Sci., 51, 927 [NASA ADS] [CrossRef] [Google Scholar]
- Patil, A. H., Yatawatta, S., Koopmans, L. V. E., et al. 2017, ApJ, 838, 65 [NASA ADS] [CrossRef] [Google Scholar]
- Rasmussen, C. E., & Williams, C. K. I. 2006, Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) (Cambridge, MA: The MIT Press) [Google Scholar]
- Shimwell, T. W., Tasse, C., Hardcastle, M. J., et al. 2019, A&A, 622, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Spoelstra, T. A. T. 1983, A&A, 120, 313 [NASA ADS] [Google Scholar]
- Tasse, C., Hugo, B., Mirmont, M., et al. 2018, A&A, 611, A87 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- van der Tol, S. 2009, Ph. D. Thesis, TU Delft, The Netherlands [Google Scholar]
- van Haarlem, M. P., Wise, M. W., Gunst, A. W., et al. 2013, A&A, 556, A2 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- van Weeren, R. J., Williams, W. L., Hardcastle, M. J., et al. 2016, ApJS, 223, 2 [NASA ADS] [CrossRef] [Google Scholar]
- van Weeren, R. J., de Gasperin, F., Akamatsu, H., et al. 2019, Space Sci. Rev., 215, 16 [NASA ADS] [CrossRef] [Google Scholar]
- Vedantham, H. K., & Koopmans, L. V. E. 2015, MNRAS, 453, 925 [NASA ADS] [CrossRef] [Google Scholar]
- Vernstrom, T., Gaensler, B. M., Brown, S., Lenc, E., & Norris, R. P. 2017, MNRAS, 467, 4914 [NASA ADS] [CrossRef] [Google Scholar]
- Weiss, Y., & Freeman, W. T. 2001, Neural Comput., 13, 2173 [CrossRef] [Google Scholar]
- Wilcox, C. H. 1962, SIAM Rev., 4, 55 [CrossRef] [Google Scholar]
- Wolf, E. 1969, Opt. Commun., 1, 153 [NASA ADS] [CrossRef] [Google Scholar]
- Wu, L., Wang, D., & Evans, J. A. 2019, Nature, 566, 1 [CrossRef] [Google Scholar]
- Yeh, K. C. 1962, J. Res. Nat. Bureau Stand., 5, 621 [Google Scholar]
- Yeh, K. C., & Swenson, Jr., G. W. 1959, J. Geophys. Res., 64, 2281 [NASA ADS] [CrossRef] [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.