Open Access
Issue
A&A
Volume 640, August 2020
Article Number A32
Number of page(s) 16
Section Planets and planetary systems
DOI https://doi.org/10.1051/0004-6361/202038296
Published online 10 August 2020
  1. Agol, E., Steffen, Sari, R., et al. 2005, MNRAS, 359, 567 [NASA ADS] [CrossRef] [Google Scholar]
  2. Almenara, J. M., Deeg, H. J., Aigrain, S., et al. 2009, A&A, 506, 337 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  3. Anglada-Escudé, G., López-Morales, M., & Chambers, J. E. 2010, ApJ, 709, 168 [NASA ADS] [CrossRef] [Google Scholar]
  4. Asplund, Ma., Grevesse, N., Sauval, A. J., et al. 2009, ARA&A, 47, 481 [NASA ADS] [CrossRef] [Google Scholar]
  5. Baluev, R., Sokov, E., Hoyer, S., et al. 2020, MNRAS, 496, L11 [CrossRef] [Google Scholar]
  6. Baranne, A., Queloz, D., Mayor, M., et al. 1994, A&AS, 119, 373 [Google Scholar]
  7. Barros, S. C. C., Díaz, R. F., Santerne, A., et al. 2014, A&A, 561, L1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  8. Becker, J. C., Vanderburg, A., Adams, F. C., et al. 2015, ApJ, 812, L18 [NASA ADS] [CrossRef] [Google Scholar]
  9. Bianchi, L., Shiao, B., & Thilker, D. 2017, ApJS, 230, 24 [NASA ADS] [CrossRef] [Google Scholar]
  10. Birkby, J. L., Cappetta, M., Cruz, P., et al. 2014, MNRAS, 440, 1470 [NASA ADS] [CrossRef] [Google Scholar]
  11. Bishop, C. M. 2007, Pattern Recognition and Machine Learning (Information Science and Statistics), 1st edn (Berlin: Springer) [Google Scholar]
  12. Boisse, I., Moutou, C., Vidal-Madjar, A., et al. 2009, A&A, 495, 959 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  13. Boisse, I., Eggenberger, A., Santos, N. C., et al. 2010, A&A, 523, A88 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  14. Bouchy, F., Hébrard, G., Udry, S., et al. 2009a, A&A, 505, 853 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  15. Bouchy, F., Isambert, J., Lovis, C., et al. 2009b, EAS Pub. Series, 37, 247 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  16. Bouchy, F., Díaz, R. F., Hébrard, G., et al. 2013, A&A, 549, A49 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  17. Bouma, L. G., Winn, J. N., Baxter, C., et al. 2019, AJ, 157, 217 [NASA ADS] [CrossRef] [Google Scholar]
  18. Bouma, L. G., Winn, J. N., Howard, A. W., et al. 2020, ApJ, 893, L29 [CrossRef] [Google Scholar]
  19. Charbonneau, D., Brown, T. M., Latham, D. W., et al. 2000, ApJ, 529, L45 [Google Scholar]
  20. Christiansen, J. L., Vanderburg, A., Burt, J., et al. 2017, AJ, 154, 122 [NASA ADS] [CrossRef] [Google Scholar]
  21. Claret, A., Hauschildt, P. H., & Witte, S. 2013, A&A, 552, A16 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  22. Collier Cameron, A., Pollacco, D., Street, R. A., et al. 2006, MNRAS, 373, 799 [NASA ADS] [CrossRef] [Google Scholar]
  23. Cooke, B. F., Pollacco, D., Almleaku, Y., et al. 2020, AJ, 159, 255 [CrossRef] [Google Scholar]
  24. Correia, A. C. M., Udry, S., Mayor, M., et al. 2005, A&A, 440, 751 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  25. Correia, A. C. M., Couetdic, J., Laskar, J., et al. 2010, A&A, 511, A21 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  26. Couetdic, J., Laskar, J., Correia, A. C. M., et al. 2010, A&A, 519, A10 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  27. Cutri, R. M., Skrutskie, M. F., van Dyk, S., et al. 2003, VizieR Online Data Catalog: II/246 [Google Scholar]
  28. Dawson, R. I.,& Johnson, J. A. 2018, ARA&A, 56, 175 [NASA ADS] [CrossRef] [Google Scholar]
  29. Dawson, R. I., Huang, C. X., Lissauer, J. J., et al. 2019, AJ, 158, 65 [CrossRef] [Google Scholar]
  30. Demangeon, O. D. S., Faedi, F., Hébrard, G., et al. 2018, A&A, 610, A63 [CrossRef] [EDP Sciences] [Google Scholar]
  31. Díaz, R. F., Rojo, P., Melita, M., et al. 2014a, ApJ, 682, L49 [NASA ADS] [CrossRef] [Google Scholar]
  32. Díaz, R. F., Almenara, J. M., Santerne, A., et al. 2014b, MNRAS, 441, 983 [NASA ADS] [CrossRef] [Google Scholar]
  33. Doyle, A. P., Davies, G. R., Smalley, B., et al. 2014, MNRAS, 444, 3592 [NASA ADS] [CrossRef] [Google Scholar]
  34. Doyle, A. P., Smalley, B., Maxted, P. F. L., et al. 2016, MNRAS, 428, 3164 [Google Scholar]
  35. Etzel, P. B. 1981, in Photometric and Spectroscopic Binary Systems, eds. E. B. Carling, & Z. Kopal (Berlin: Springer), 111 [CrossRef] [Google Scholar]
  36. Farrès, A., Laskar, J., Blanes, S., et al. 2013, Celes. Mech. Dyn. Astron., 116, 141 [CrossRef] [Google Scholar]
  37. Foreman-Mackey, D., Hogg, D. W., Lang, D., et al. 2013, PASP, 125, 306 [CrossRef] [Google Scholar]
  38. Fossati, L., Ayres, T. R., Haswell, C. A., et al. 2013, ApJ, 766, L20 [NASA ADS] [CrossRef] [Google Scholar]
  39. Gaia Collaboration (Prusti, T., et al.) 2016, A&A, 595, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  40. Gaia Collaboration (Brown, A. G. A., et al.) 2018, A&A, 616, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  41. Geweke, J. 1992, in Bayesian Statistics 4, eds. A.D.J.M. Bernardo, J.O. Berger, & A. Smith (Oxford: Oxford University Press) [Google Scholar]
  42. Gillon, M., Triaud, A. H. M. J., Demory, B.-O., et al. 2017, Nature, 542, 456 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  43. Goodman, J., & Weare, J. 2010, Commun. Appl. Math. Comput. Sci., 5, 65 [Google Scholar]
  44. Haswell, C. A., Fossati, L., Ayres, T., et al. 2012, ApJ, 760, 79 [Google Scholar]
  45. Haswell, C. A., Staab, D., Barnes, J. R., et al. 2019, Nat. Astron., 4, 408 [CrossRef] [Google Scholar]
  46. Hay, K. L., Collier-Cameron, A., Doyle, A. P., et al. 2016, MNRAS, 463, 3276 [NASA ADS] [CrossRef] [Google Scholar]
  47. Hébrard, G., Bouchy, F., Pont, F., et al. 2008, A&A, 481, 52 [Google Scholar]
  48. Hébrard, G., Ehrenreich, D., Bouchy, F., et al. 2011, A&A, 527, L11 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  49. Hébrard, G., Collier Cameron, A., Brown, D. J. A., et al. 2013, A&A, 549, A134 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  50. Hébrard, G., Santerne, A., Montagnier, G., et al. 2014, A&A, 572, A93 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  51. Henden, A. A., Levine, S. Terrell, D., & Welch, D. L. 2015, BAAS, 225, 336.16 [Google Scholar]
  52. Høg, E., Fabricius, C., Makarov, V. V., et al. 2000, A&A 355, L27 [Google Scholar]
  53. Holman, M. J., & Murray, N. W. 2005, Science, 307, 1288 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  54. Holman, M. J., Fabrycky, D. C., Ragozzine, D., et al. 2010, Science, 330, 51 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  55. Kiefer, F., Hébrard, G., Sahlmann, J., et al. 2019, A&A, 631, A125 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  56. Kipping, D., Nesvorný, D., Hartman, J., et al. 2019, MNRAS, 486, 4980 [NASA ADS] [Google Scholar]
  57. Kürster, M., Trifonov, T., Reffert, S., et al. 2015, A&A, 577, A103 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  58. Kurucz, R. 1993, Opacities for Stellar Atmospheres (Cambridge, MA: Smithsonian Astrophysical Observatory), 13 [Google Scholar]
  59. Laskar, J. 1990, Icarus, 88, 266 [NASA ADS] [CrossRef] [Google Scholar]
  60. Laskar, J. 1993, Phys. D Nonlinear Phenom., 67, 257 [Google Scholar]
  61. Lissauer, J. J., Fabrycky, D. C., Ford, E. B., et al. 2011, Nature, 470, 53 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  62. Maciejewski, G., Dimitrov, D., Neuhäuser, R., et al. 2010, MNRAS, 407, 2625 [NASA ADS] [CrossRef] [Google Scholar]
  63. Maciejewski, G., Dimitrov, D., Fernández, M., et al., 2016, A&A, 588, L6 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  64. McCormac, J., Skillen, I., Pollacco, D. et al. 2014, MNRAS, 438, 3383 [NASA ADS] [CrossRef] [Google Scholar]
  65. Maxted, P. F. L., Anderson, D. R., Collier Cameron, A., et al. 2011, PASP, 123, 547 [NASA ADS] [CrossRef] [Google Scholar]
  66. Motalebi, F., Udry, S., Gillon, M., et al. 2015, A&A, 584, A72 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  67. Nelson, B., & Davis, W. D. 1972, ApJ, 174, 617 [NASA ADS] [CrossRef] [Google Scholar]
  68. Nesvorný, D., Kipping, D., Buchhave, L. A., et al. 2012, Science, 336, 1133 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  69. Nesvorný, D., Kipping, D., Terrell, D., et al. 2013, ApJ, 777, 3 [NASA ADS] [CrossRef] [Google Scholar]
  70. Oscoz, A., Rebolo, R., López, R., et al. 2008, SPIE, 7014, 47 [Google Scholar]
  71. Patra, K. C., Winn, J. N., Holman, M. J., et al. 2017a, AJ, 154, 4 [NASA ADS] [CrossRef] [Google Scholar]
  72. Patra, K. C., Winn, J. N., Holman, M. J., et al. 2017b, AJ, 159, 150 [CrossRef] [Google Scholar]
  73. Pepe, F., Mayor, M., Galland, F., et al. 2002, A&A, 388, 632 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  74. Perruchot, S., Kohler, D., Bouchy, F., et al. 2008, SPIE, 7014, 70 [Google Scholar]
  75. Petrucci, P.-O., Gronkiewicz, D., Rozanska, A., et al. 2020, A&A, 634, A85 [CrossRef] [EDP Sciences] [Google Scholar]
  76. Pollacco, D. L., Skillen, I., Collier Cameron, A., et al. 2006, PASP, 118, 140 [Google Scholar]
  77. Pollacco, D., Skillen, I., Collier Cameron, A., et al. 2008, MNRAS, 385, 1576 [NASA ADS] [CrossRef] [Google Scholar]
  78. Popper, D. M., & Etzel, P. B. 1981, AJ, 86, 102 [NASA ADS] [CrossRef] [Google Scholar]
  79. Press, W. H., Teukolsky, S. A., Vetterling, W. T., et al. 1992, Numerical Recipes in C. The art of Scientific Computing, 2nd edn. (Cambridge: Cambridge University Press) [Google Scholar]
  80. Queloz, D., Henry, G. W., Sivan, J. P., et al. 2001, A&A, 379, 279 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  81. Rey, J., Bouchy, F., Stalport, M., et al. 2018, A&A, 619, A115 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  82. Ricker, G. R., Winn, J. N., Vanderspek, R., et al. 2015, JATIS, 1, 014003 [Google Scholar]
  83. Santerne, A., Moutou, C., Tsantaki, M., et al. 2016, A&A, 587, A64 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  84. Skrutskie, M. F., Cutri, R. M., Stiening, R., et al. 2006, AJ, 131, 1163 [Google Scholar]
  85. Southworth, J. 2011, MNRAS, 417, 2166 [NASA ADS] [CrossRef] [Google Scholar]
  86. Southworth, J., Dominik, M., Jorgensen, U. G., et al. 2019, MNRAS, 490, 4230 [CrossRef] [Google Scholar]
  87. Spake, J. J., Brown, D. J. A., Doyle, A. P., et al. 2016, PASP, 128, 024401 [NASA ADS] [CrossRef] [Google Scholar]
  88. Staab, D., Haswell, C. A., Smith, G. D., et al. 2019, MNRAS, 466, 738 [Google Scholar]
  89. Tingley, B., & Sackett, P. D. 2005, ApJ, 627, 1011 [NASA ADS] [CrossRef] [Google Scholar]
  90. Torres, G., Andersen, J., & Giménez, A. 2010, A&ARv, 18, 67 [Google Scholar]
  91. Udry, S., Mayor, M., & Santos, N. C. 2003, A&A, 407, 369 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  92. Weiss, L. M., Deck, K. M., Sinukoff, E., et al. 2017, ApJ, 153, 265 [CrossRef] [Google Scholar]
  93. Winn, J. N., Johnson, J. A., Albrecht, S., et al. 2009, ApJ, 703, L99 [NASA ADS] [CrossRef] [Google Scholar]
  94. Wittenmyer, R. A., Wang, S., Horner, J., et al. 2013, ApJS, 208, 2 [NASA ADS] [CrossRef] [Google Scholar]
  95. Wu, Y., & Lithwick, Y. 2011, ApJ, 772, 74 [Google Scholar]
  96. Xie, J.-W. 2014, ApJ, 210, 25 [NASA ADS] [CrossRef] [Google Scholar]
  97. Yee, S. W., Winn, J. N., Knutson, H. A., et al. 2020, ApJ, 888, L5 [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.