- Aerts, C., Christensen-Dalsgaard, J., & Kurtz, D. W. 2010, Asteroseismology (Netherlands: Springer) [CrossRef] [Google Scholar]
- Angus, R., Morton, T., Aigrain, S., Foreman-Mackey, D., & Rajpaul, V. 2018, MNRAS, 474, 2094 [NASA ADS] [CrossRef] [Google Scholar]
- Benomar, O., Bazot, M., Nielsen, M. B., et al. 2018, Science, 361, 1231 [NASA ADS] [CrossRef] [Google Scholar]
- Brown, T. M., Christensen-Dalsgaard, J., Dziembowski, W. A., et al. 1989, ApJ, 343, 526 [NASA ADS] [CrossRef] [Google Scholar]
- Charbonneau, P. 2010, Liv. Rev. Sol. Phys., 7, 3 [Google Scholar]
- Christensen-Dalsgaard, J. 2008a, Ap&SS, 316, 13 [NASA ADS] [CrossRef] [Google Scholar]
- Christensen-Dalsgaard, J. 2008b, Ap&SS, 316, 113 [NASA ADS] [CrossRef] [Google Scholar]
- Foreman-Mackey, D., Hogg, D. W., Lang, D., & Goodman, J. 2013, PASP, 125, 306 [NASA ADS] [CrossRef] [Google Scholar]
- Foreman-Mackey, D., Agol, E., Ambikasaran, S., & Angus, R. 2017, AJ, 154, 220 [NASA ADS] [CrossRef] [Google Scholar]
- Fröhlich, C., & Lean, J. 2004, A&ARv, 12, 273 [NASA ADS] [CrossRef] [Google Scholar]
- García, R. A., Ceillier, T., Salabert, D., et al. 2014, A&A, 572, A34 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Gelman, A. 2004, Bayesian Data Analysis, Texts in Statistical Science (Chapman & Hall/CRC) [Google Scholar]
- Gilman, P. A., & Glatzmaier, G. A. 1981, ApJS, 45, 335 [NASA ADS] [CrossRef] [Google Scholar]
- Gizon, L., & Solanki, S. K. 2003, ApJ, 589, 1009 [NASA ADS] [CrossRef] [Google Scholar]
- Gough, D. O., & Thompson, M. J. 1990, MNRAS, 242, 25 [NASA ADS] [CrossRef] [Google Scholar]
- Hackman, T., Mantere, M. J., Jetsu, L., et al. 2011, Astron. Nachr., 332, 859 [NASA ADS] [CrossRef] [Google Scholar]
- Haigh, J. D. 2007, Liv. Rev. Sol. Phys., 4, 2 [Google Scholar]
- Hansen, C. J., Cox, J. P., & van Horn, H. M. 1977, ApJ, 217, 151 [NASA ADS] [CrossRef] [Google Scholar]
- Hathaway, D. H. 2010, Liv. Rev. Sol. Phys., 7, 1 [Google Scholar]
- Jaynes, E. T. 1968, IEEE Trans. Syst. Sci. Cybern., 4, 227 [CrossRef] [Google Scholar]
- Jenkins, J. M., Caldwell, D. A., Chandrasekaran, H., et al. 2010, ApJ, 713, L120 [NASA ADS] [CrossRef] [Google Scholar]
- Karoff, C., Metcalfe, T. S., Santos, Â. R. G., et al. 2018, ApJ, 852, 46 [NASA ADS] [CrossRef] [Google Scholar]
- Kiefer, R., Schad, A., Davies, G., & Roth, M. 2017, A&A, 598, A77 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Lund, M. N., Lundkvist, M., Silva Aguirre, V., et al. 2014, A&A, 570, A54 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Lynden-Bell, D., & Ostriker, J. P. 1967, MNRAS, 136, 293 [NASA ADS] [CrossRef] [Google Scholar]
- Maunder, E. W. 1904, MNRAS, 64, 747 [NASA ADS] [Google Scholar]
- Pijpers, F. P. 1997, A&A, 326, 1235 [NASA ADS] [Google Scholar]
- Pulkkinen, T. 2007, Liv. Rev. Sol. Phys., 4, 1 [Google Scholar]
- Rasmussen, C. E., & Williams, C. K. I. 2005, Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) (The MIT Press) [Google Scholar]
- Ritzwoller, M. H., & Lavely, E. M. 1991, ApJ, 369, 557 [NASA ADS] [CrossRef] [Google Scholar]
- Roettenbacher, R. M., Monnier, J. D., Korhonen, H., et al. 2016, Nature, 533, 217 [NASA ADS] [CrossRef] [Google Scholar]
- Rüdiger, G. 1974, Astron. Nachr., 295, 229 [NASA ADS] [CrossRef] [Google Scholar]
- Salabert, D., Régulo, C., Pérez Hernández, F., & García, R.A. 2018, A&A, 611, A84 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Santos, A. R. G., Campante, T. L., Chaplin, W. J., et al. 2018, ApJS, 237, 17 [NASA ADS] [CrossRef] [Google Scholar]
- Scargle, J. D. 1982, ApJ, 263, 835 [NASA ADS] [CrossRef] [Google Scholar]
- Schou, J., Christensen-Dalsgaard, J., & Thompson, M. J. 1994, ApJ, 433, 389 [NASA ADS] [CrossRef] [Google Scholar]
- Schwabe, M. 1844, Astron. Nachr., 21, 233 [NASA ADS] [CrossRef] [Google Scholar]
- Semel, M. 1989, A&A, 225, 456 [NASA ADS] [Google Scholar]
- Silva Aguirre, V., Lund, M. N., Antia, H. M., et al. 2017, ApJ, 835, 173 [NASA ADS] [CrossRef] [Google Scholar]
- Solanki, S. K. 2003, A&ARv, 11, 153 [NASA ADS] [CrossRef] [Google Scholar]
- Tarantola, A. 2004, Inverse Problem Theory and Methods for Model Parameter Estimation (Philadelphia, PA, USA: Society for Industrial and Applied Mathematics) [Google Scholar]
- Tarantola, A., & Valette, B. 1982, J. Geophys., 50, 159 [Google Scholar]
- Thompson, M. J., Christensen-Dalsgaard, J., Miesch, M. S., & Toomre, J. 2003, ARA&A, 41, 599 [NASA ADS] [CrossRef] [Google Scholar]
- Vidotto, A. A., Jardine, M., Morin, J., et al. 2013, A&A, 557, A67 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Vogt, S. S., & Penrod, G. D. 1983, PASP, 95, 565 [NASA ADS] [CrossRef] [Google Scholar]
- Walkowicz, L. M., Basri, G., & Valenti, J. A. 2013, ApJS, 205, 17 [NASA ADS] [CrossRef] [Google Scholar]
Free Access
| Issue |
A&A
Volume 619, November 2018
|
|
|---|---|---|
| Article Number | L9 | |
| Number of page(s) | 8 | |
| Section | Letters to the Editor | |
| DOI | https://doi.org/10.1051/0004-6361/201834251 | |
| Published online | 22 November 2018 | |
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