EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues Volume 658 (February 2022) A&A, 658 (2022) A201 References
Free Access
Issue
A&A
Volume 658, February 2022
Article Number A201
Number of page(s) 8
Section Planets and planetary systems
DOI https://doi.org/10.1051/0004-6361/202142874
Published online 24 February 2022
  1. Abadi, M., Barham, P., Chen, J., et al. 2016, Tensorflow: A system for large-scale machine learning [arXiv:1605.08695] [Google Scholar]
  2. Adibekyan, V., Dorn, C., Sousa, S. G., et al. 2021, Science, 374, 330 [NASA ADS] [CrossRef] [Google Scholar]
  3. Alibert, Y., & Venturini, J. 2019, A&A, 626, A21 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  4. Atkins, C., Valentine, A. P., Tackley, P. J., & Trampert, J. 2016, Phys. Earth Planet. Inter., 257, 171 [CrossRef] [Google Scholar]
  5. Batalha, N. M. 2014, PNAS, 111, 12647 [NASA ADS] [CrossRef] [Google Scholar]
  6. Baumeister, P., Padovan, S., Tosi, N., Montavon, G., & Nettelmann, N. 2020, ApJ, 889, 42 [NASA ADS] [CrossRef] [Google Scholar]
  7. Bishop, C. M. 1994, Mixture Density Networks, Tech. Rep. NCRG/94/004 [Google Scholar]
  8. Bonomo, A. S., Hébrard, G., Raymond, S. N., et al. 2017, A&A, 603, A43 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  9. Boujibar, A., Driscoll, P., & Fei, Y. 2020, J. Geophys. Res. Planets, 125, e2019JE006124 [CrossRef] [Google Scholar]
  10. Brugger, B., Mousis, O., Deleuil, M., & Deschamps, F. 2017, ApJ, 850, 93 [NASA ADS] [CrossRef] [Google Scholar]
  11. Brygoo, S., Loubeyre, P., Millot, M., et al. 2021, Nature, 593, 517 [NASA ADS] [CrossRef] [Google Scholar]
  12. Chabrier, G., Mazevet, S., & Soubiran, F. 2019, ApJ, 872, 51 [NASA ADS] [CrossRef] [Google Scholar]
  13. Chollet, F., et al. 2015, Keras: The Python Deep Learning library, https://keras.io [Google Scholar]
  14. de Pater, I., & Lissauer, J. J 2010, Planetary Sciences (Cambridge: Cambridge University Press) [CrossRef] [Google Scholar]
  15. Debras, F., & Chabrier, G. 2019, ApJ, 872, 100 [Google Scholar]
  16. Deeg, H. J., Moutou, C., Erikson, A., et al. 2010, Nature, 464, 384 [NASA ADS] [CrossRef] [Google Scholar]
  17. Dorn, C., Khan, A., Heng, K., et al. 2015, A&A, 577, A83 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  18. Dorn, C., Venturini, J., Khan, A., et al. 2017, A&A, 597, A37 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  19. Fortney, J. J., Marley, M. S., & Barnes, J. W. 2007, ApJ, 659, 1661 [Google Scholar]
  20. Fortney, J. J., Ikoma, M., Nettelmann, N., Guillot, T., & Marley, M. S. 2011, ApJ, 729, 32 [NASA ADS] [CrossRef] [Google Scholar]
  21. Fortney, J. J., Dawson, R. I., & Komacek, T. D. 2021, J. Geophys. Res. Planets, 126, e2020JE006629 [CrossRef] [Google Scholar]
  22. Fridlund, M., Hébrard, G., Alonso, R., et al. 2010, A&A, 512, A14 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  23. Goodfellow, I., Bengio, Y., & Courville, A. 2016, Deep Learning (Cambridge: MIT Press) [Google Scholar]
  24. Guillot, T. 2005, Annu. Rev. Earth Planet. Sci., 33, 493 [Google Scholar]
  25. Guillot, T., & Showman, A. P. 2002, A&A, 385, 156 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  26. Guillot, T., Miguel, Y., Militzer, B., et al. 2018, Nature, 555, 227 [Google Scholar]
  27. Higgins, C. A., Carr, T. D., & Reyes, F. 1996, Geophys. Res. Lett. 23, 2653 [NASA ADS] [CrossRef] [Google Scholar]
  28. Kingma, D. P., & Ba, J. 2014, ArXiv e-prints [arXiv:1412.6980] [Google Scholar]
  29. Kramm, U., Nettelmann, N., Fortney, J. J., Neuhäuser, R., & Redmer, R. 2012, A&A, 538, A146 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  30. Leconte, J., & Chabrier, G. 2013, NatGe, 6, 347 [NASA ADS] [Google Scholar]
  31. Mankovich, C.R., & Fortney, J. J. 2020, ApJ, 889, 51 [NASA ADS] [CrossRef] [Google Scholar]
  32. Marley, M. S., Fortney, J., Seager, S., & Barman, T. 2007, in Protostars and Planets V, eds. B. Reipurth, D. Jewitt, & K. Keil, 733 [Google Scholar]
  33. Martin, C., & Duhaime, D. 2019, https://doi.org/10.5281/zenodo.2578015 [Google Scholar]
  34. Montavon, G., Orr, G., & Müller, K.-R. 2012, Neural networks-tricks of the trade 2nd ed. (Springer) [CrossRef] [Google Scholar]
  35. Militzer, B., & Hubbard, W. B. 2013, ApJ, 774, 148 [NASA ADS] [CrossRef] [Google Scholar]
  36. Militzer, B., Wahl, S., & Hubbard, W. B. 2019, ApJ, 879, 78 [Google Scholar]
  37. Nettelmann, N., Kramm, U., Redmer, R., Neuhäuser, R. 2010, A&A, 523, A26 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  38. Nettelmann, N., Movshovitz, N., Ni, D., et al. 2021, PSJ, submitted [Google Scholar]
  39. Ni, D. 2019, A&A, 632, A76 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  40. Ni, D. 2020, A&A, 639, A10 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  41. Pedregosa, F., Varoquaux, G., Gramfort, A., et al. 2011, J. Mach. Learn. Res., 12, 2825 [Google Scholar]
  42. Rogers, L. A., & Seager, S. 2010, ApJ, 712, 974 [Google Scholar]
  43. Saumon, D., Chabrier, G., & van Horn, H. M. 1995, ApJS, 99, 713 [NASA ADS] [CrossRef] [Google Scholar]
  44. Schöttler, M., & Redmer, R. 2018, Phys. Rev. Lett., 120, 115703 [CrossRef] [Google Scholar]
  45. Serenelli, A. M., & Basu, S. 2010, ApJ, 719, 865 [NASA ADS] [CrossRef] [Google Scholar]
  46. Sotin, C., Grasset, O., & Mocquet, A. 2007, Icarus, 191, 337 [Google Scholar]
  47. Southworth, J. 2011, MNRAS, 417, 2166 [Google Scholar]
  48. Spiegel, D. S., Fortney, J. J., & Sotin, C. 2014, PNAS, 111, 12622 [NASA ADS] [CrossRef] [Google Scholar]
  49. Srivastava, N., Hinton, G., Krizhevsky, A., Sutskever, I., & Salakhutdinov, R. 2014, J. Mach. Learn. Res., 15, 1929 [Google Scholar]
  50. Thompson, S. L. 1990, ANEOS Analytic Equations of State for Shock Physics Codes Input Manual, Tech. Rep., (Albuquerque, NM: Sandia National Laboratories [Google Scholar]
  51. Thorngren, D. P., Fortney, J. J., Murray-Clay, R. A., & Lopez, E. D. 2016, ApJ, 831, 64 [NASA ADS] [CrossRef] [Google Scholar]
  52. Ulmer-Moll, S., Santos, N. C., Figueira, P., Brinchmann, J., & Faria, J. P. 2019, A&A, 630, A135 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  53. Valencia, D., Sasselov, D. D., & O’Connell, R. J. 2007, ApJ, 665, 1413 [Google Scholar]
  54. Wahl, S. M., Hubbard, W. B., Militzer, B., et al. 2017, Geophys. Res. Lett., 44, 4649 [CrossRef] [Google Scholar]
  55. Zhao, Y., & Ni, D. 2021, A&A, 650, A177 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  56. Zhao, Y., Zhang, Y., Geng, M., Jiang, J., & Zou, X. 2019, Geophys. Res. Lett., 46, 5234 [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.