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Home All issues Volume 635 (March 2020) A&A, 635 (2020) A147 References
Open Access
Issue
A&A
Volume 635, March 2020
Article Number A147
Number of page(s) 17
Section Numerical methods and codes
DOI https://doi.org/10.1051/0004-6361/201937424
Published online 24 March 2020
  1. Abadi, M., Agarwal, A., Barham, P., et al. 2015, TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems, Software available from tensorflow.org [Google Scholar]
  2. Albert, J. G., Oei, M. S. S. L., van Weeren, R. J., Intema, H. T., & Röttgering, H. J. A. 2020, A&A, 633, A77 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  3. Bonnassieux, E., Tasse, C., Smirnov, O., & Zarka, P. 2018, A&A, 615, A66 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  4. Briggs, D. 1995, PhD Thesis, New Mexico Institute of Mining Technology [Google Scholar]
  5. Cohen, A. S., & Röttgering, H. J. A. 2009, AJ, 138, 439 [NASA ADS] [CrossRef] [Google Scholar]
  6. Cornwell, T. J., Golap, K., & Bhatnagar, S. 2005, in From Clark Lake to the Long Wavelength Array: Bill Erickson’s Radio Science, eds. N. Kassim, M. Perez, W. Junor, & P. Henning, ASP Conf. Ser., 345, 350 [NASA ADS] [Google Scholar]
  7. Cotton, W. D., Condon, J. J., Perley, R. A., et al. 2004, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, eds. J. Oschmann, & M. Jacobus, Proc. SPIE, 5489, 180 [NASA ADS] [CrossRef] [Google Scholar]
  8. de Gasperin, F., Dijkema, T. J., Drabent, A., et al. 2019, A&A, 622, A5 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  9. Dean, T. A., Singh, S. S., Jasra, A., & Peters, G. W. 2014, Scand. J. Stat., 41, 970 [CrossRef] [Google Scholar]
  10. Fellgett, P. B., & Linfoot, E. H. 1955, Phil. Trans. R. Soc. London Ser. A, 247, 369 [NASA ADS] [CrossRef] [Google Scholar]
  11. Hamaker, J. P., Bregman, J. D., & Sault, R. J. 1996, A&AS, 117, 137 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  12. Harrison, I., Camera, S., Zuntz, J., & Brown, M. L. 2016, MNRAS, 463, 3674 [NASA ADS] [CrossRef] [Google Scholar]
  13. Hensman, J., Fusi, N., & Lawrence, N. D. 2013, ArXiv e-prints [arXiv:1309.6835] [Google Scholar]
  14. Hewish, A. 1951, Proc. R. Soc. London Ser. A, 209, 81 [NASA ADS] [CrossRef] [Google Scholar]
  15. Hewish, A. 1952, Proc. R. Soc. London Ser. A, 214, 494 [NASA ADS] [CrossRef] [Google Scholar]
  16. Intema, H. T., van der Tol, S., Cotton, W. D., et al. 2009, A&A, 501, 1185 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  17. Jones, R. C. 1941, J. Opt. Soc. Am. (1917–1983), 31, 488 [NASA ADS] [CrossRef] [Google Scholar]
  18. Jordan, C. H., Murray, S., Trott, C. M., et al. 2017, MNRAS, 471, 3974 [NASA ADS] [CrossRef] [Google Scholar]
  19. Kazemi, S., Yatawatta, S., Zaroubi, S., et al. 2011, MNRAS, 414, 1656 [NASA ADS] [CrossRef] [Google Scholar]
  20. Kivelson, M. G., & Russell, C. T. 1995, Introduction to Space Physics (Cambridge: Cambridge University Press), 586 [Google Scholar]
  21. Kolmogorov, A. N. 1960, Foundations of the Theory of Probability, 2nd edn. (London: Chelsea Pub. Co.) [Google Scholar]
  22. Matthews, A. G. D. G., van der Wilk, M., Nickson, T., et al. 2017, J. Mach. Learn. Res., 18, 1 [Google Scholar]
  23. Mevius, M., van der Tol, S., Pandey, V. N., et al. 2016, Radio Sci., 51, 927 [NASA ADS] [CrossRef] [Google Scholar]
  24. Patil, A. H., Yatawatta, S., Koopmans, L. V. E., et al. 2017, ApJ, 838, 65 [NASA ADS] [CrossRef] [Google Scholar]
  25. Phillips, G. J. 1952, J. Atmos. Terrest. Phys., 2, 141 [NASA ADS] [CrossRef] [Google Scholar]
  26. Prasad, P., Huizinga, F., Kooistra, E., et al. 2016, J. Astron. Instrum., 5, 1641008 [CrossRef] [Google Scholar]
  27. Rabiner, L., & Juang, B. 1986, IEEE ASSP Mag., 3, 4 [CrossRef] [Google Scholar]
  28. Rasmussen, C. E., & Williams, C. K. I. 2006, in Gaussian Processes for Machine Learning (The MIT Press), Adaptive Computation and Machine Learning [Google Scholar]
  29. Ratcliffe, J. A. 1956, Rep. Progr. Phys., 19, 188 [NASA ADS] [CrossRef] [Google Scholar]
  30. Rauch, H. E. 1963, IEEE Trans. Autom. Control, AC-8, 371 [CrossRef] [Google Scholar]
  31. Shimwell, T. W., Röttgering, H. J. A., Best, P. N., et al. 2017, A&A, 598, A104 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  32. Shimwell, T. W., Tasse, C., Hardcastle, M. J., et al. 2019, A&A, 622, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  33. Shumway, R. H., & Stoffer, D. S. 1982, J. Time Ser. Anal., 3, 253 [CrossRef] [Google Scholar]
  34. Smirnov, O. M., & Tasse, C. 2015, MNRAS, 449, 2668 [NASA ADS] [CrossRef] [Google Scholar]
  35. Tasse, C. 2014a, ArXiv e-prints [arXiv:1410.8706] [Google Scholar]
  36. Tasse, C. 2014b, A&A, 566, A127 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  37. Tasse, C., Hugo, B., Mirmont, M., et al. 2018, A&A, 611, A87 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  38. van der Tol, S. 2009, PhD Thesis, TU Delft [Google Scholar]
  39. van Haarlem, M. P., Wise, M. W., Gunst, A. W., et al. 2013, A&A, 556, A2 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  40. van Weeren, R. J., Williams, W. L., Hardcastle, M. J., et al. 2016, ApJS, 223, 2 [NASA ADS] [CrossRef] [Google Scholar]
  41. van Weeren, R. J., de Gasperin, F., Akamatsu, H., et al. 2019, Sapce Sci. Rev., 215, 16 [NASA ADS] [CrossRef] [Google Scholar]
  42. Vernstrom, T., Gaensler, B. M., Brown, S., Lenc, E., & Norris, R. P. 2017, MNRAS, 467, 4914 [NASA ADS] [CrossRef] [Google Scholar]

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