- Ahlers, J. P. 2016, AJ, 832, 93 [NASA ADS] [CrossRef] [Google Scholar]
- Ahlers, J. P., Barnes, J. W., & Barnes, R. 2015, AJ, 814, 67 [CrossRef] [Google Scholar]
- Aigrain, S., Parviainen, H., & Pope, B. 2016, MNRAS, 459, 2408 [NASA ADS] [Google Scholar]
- Akritas, M. G., & Bershady, M. A. 1996, ApJ, 470, 706 [NASA ADS] [CrossRef] [Google Scholar]
- Andrae, R. 2010, ArXiv e-prints [arXiv:1009.2755] [Google Scholar]
- Baluev, R. V. 2008, MNRAS, 385, 1279 [NASA ADS] [CrossRef] [Google Scholar]
- Barnes, J. W. 2009, AJ, 705, 683 [NASA ADS] [CrossRef] [Google Scholar]
- Barnes, J. W., Linscott, E., & Shporer, A. 2011, Astrophys. J. Supp. Ser., 197, 10 [NASA ADS] [CrossRef] [Google Scholar]
- Basri, G., Walkowicz, L. M., Batalha, N., et al. 2010, AJ, 141, 20 [NASA ADS] [CrossRef] [Google Scholar]
- Box, G., & Muller, M. 1958, Ann. Math. Stat., 29, 610 [CrossRef] [Google Scholar]
- Breger, M., & Pamyatnykh, A. 1998, A&A, 332, 958 [Google Scholar]
- Breger, M., Balona, L., Lenz, P., et al. 2011, MNRAS, 414, 1721 [NASA ADS] [CrossRef] [Google Scholar]
- Breger, M., Fossati, L., Balona, L., et al. 2012, AJ, 759, 62 [NASA ADS] [CrossRef] [Google Scholar]
- Brent, R. P. 2013, Algorithms for Minimization Without Derivatives (Englewood Cliffs: Courier Corporation) [Google Scholar]
- Didelon, P. 1984, Astron. Astrophys. Supp. Ser., 55, 69 [NASA ADS] [Google Scholar]
- Edelson, R., & Krolik, J. 1988, AJ, 333, 646 [NASA ADS] [CrossRef] [Google Scholar]
- Gimenez, A. 2006, AJ, 650, 408 [NASA ADS] [CrossRef] [Google Scholar]
- Hambleton, K., Degroote, P., Conroy, K., et al. 2013, EAS Pub. Ser., 64, 285 [CrossRef] [Google Scholar]
- Haykin, S. 2006, Nonlinear Methods of Spectral Analysis (New York: ), 34 [Google Scholar]
- Hernández, A. G., Moya, A., Michel, E., et al. 2009, A&A, 506, 79 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Lenz, P., & Breger, M. 2004, Proc. Int. Astron. Union, 2004, 786 [NASA ADS] [CrossRef] [Google Scholar]
- MacKay, D. J. 1998, NATO ASI Series F Computer and Systems Sciences, 168, 133 [Google Scholar]
- McQuillan, A. 2013, PhD Thesis (Oxford: University of Oxford) [Google Scholar]
- McQuillan, A., Mazeh, T., & Aigrain, S. 2014, Astrophys. J. Supp. Ser., 211, 24 [NASA ADS] [CrossRef] [MathSciNet] [Google Scholar]
- Nahin, P. J. 2001, The Science of Radio (New York: Springer Science + Business Media) [CrossRef] [Google Scholar]
- Nelder, J. A., & Mead, R. 1965, Comp. J., 7, 308 [CrossRef] [Google Scholar]
- Poretti, E., Michel, E., Garrido, R., et al. 2009, A&A, 506, 85 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Press, W. H. 2007, Numerical Recipes 3rd Edition: The Art of Scientific Computing (Cambridge, UK: Cambridge University Press) [Google Scholar]
- Press, W. H., Teukolsky, S. A., Vetterling, W. T., & Flannery, B. P. 1992, Numerical Recipes in C: The Art of Scientific Computing, 274 [Google Scholar]
- Rasmussen, C. E., & Williams, C. K. 2006, Gaussian Processes for Machine Learning, 1 (Cambridge, UK: MIT Press) [Google Scholar]
- Rohlfs, K., & Wilson, T. L. 2013, Tools of Radio Astronomy (New York: ) [Google Scholar]
- Smith, J. C., Stumpe, M. C., Van Cleve, J. E., et al. 2012, PASP, 124, 1000 [NASA ADS] [CrossRef] [Google Scholar]
- Smullen, R. A., & Kobulnicky, H. A. 2015, AJ, 808, 166 [CrossRef] [Google Scholar]
- Suarez, J. C., Bruntt, H., & Buzasi, D. 2005, A&A, 438, 633 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Udry, S., Fischer, D., & Queloz, D. 2007, Protostars and Planets V, 951, 685 [NASA ADS] [Google Scholar]
- Vio, R., & Wamsteker, W. 2002, A&A, 388, 1124 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Vio, R., Andreani, P., & Biggs, A. 2010, A&A, 519, A85 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Winn, J. N., Fabrycky, D., Albrecht, S., & Johnson, J. A. 2010, ApJ, 718, L145 [NASA ADS] [CrossRef] [Google Scholar]
- Zechmeister, M., & Kürster, M. 2009, A&A, 496, 577 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
Free Access
| Issue |
A&A
Volume 615, July 2018
|
|
|---|---|---|
| Article Number | A128 | |
| Number of page(s) | 9 | |
| Section | Numerical methods and codes | |
| DOI | https://doi.org/10.1051/0004-6361/201732446 | |
| Published online | 26 July 2018 | |
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.