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Home All issues Volume 706 (February 2026) A&A, 706 (2026) A278 References
Open Access
Issue
A&A
Volume 706, February 2026
Article Number A278
Number of page(s) 26
Section Planets, planetary systems, and small bodies
DOI https://doi.org/10.1051/0004-6361/202556887
Published online 19 February 2026
  1. Aguichine, A., Mousis, O., Deleuil, M., & Marcq, E., 2021, ApJ, 914, 84 [NASA ADS] [CrossRef] [Google Scholar]
  2. Ahrer, E., Radica, M., Piaulet, C., et al. 2025, ApJ, 985, L10 [Google Scholar]
  3. Aigrain, S., Pont, F., & Zucker, S., 2012, MNRAS, 419, 3147 [NASA ADS] [CrossRef] [Google Scholar]
  4. Aitken, S., & Akman, O. E., 2013, BMC Syst. Biol., 7, 72 [Google Scholar]
  5. Almenara, J. M., Bonfils, X., Otegi, J. F., et al. 2022, A&A, 665, A91 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  6. Ambikasaran, S., Foreman-Mackey, D., Greengard, L., Hogg, D. W., & O’Neil, M. 2015a, IEEE Trans. Pattern Anal. Mach. Intell., 38, 252 [Google Scholar]
  7. Ambikasaran, S., Foreman-Mackey, D., Greengard, L., Hogg, D. W., & O’Neil, M. 2015b, IEEE Trans. Pattern Anal. Mach. Intell., 38, 252 [Google Scholar]
  8. Antoniadis-Karnavas, A., Sousa, S. G., Delgado-Mena, E., et al. 2020, A&A, 636, A9 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  9. Antoniadis-Karnavas, A., Sousa, S. G., Delgado-Mena, E., Santos, N. C., & Andreasen, D. T., 2024, A&A, 690, A58 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  10. Artigau, É., Cadieux, C., Cook, N. J., et al. 2022, AJ, 164, 84 [NASA ADS] [CrossRef] [Google Scholar]
  11. Artigau, É., Cadieux, C., Cook, N. J., et al. 2024, AJ, 168, 252 [Google Scholar]
  12. Asplund, M., Grevesse, N., Sauval, A. J., & Scott, P., 2009, ARA&A, 47, 481 [CrossRef] [Google Scholar]
  13. Astropy Collaboration (Price-Whelan, A. M., et al.,) 2022, ApJ, 935, 167 [NASA ADS] [CrossRef] [Google Scholar]
  14. Baluev, R. V., 2008, MNRAS, 385, 1279 [Google Scholar]
  15. Barragán, O., Gillen, E., Aigrain, S., et al. 2023, MNRAS, 522, 3458 [CrossRef] [Google Scholar]
  16. Benneke, B., & Seager, S., 2013, ApJ, 778, 153 [Google Scholar]
  17. Benneke, B., Knutson, H. A., Lothringer, J., et al. 2019, Nat. Astron., 3, 813 [Google Scholar]
  18. Blunt, S., Carvalho, A., David, T. J., et al. 2023, AJ, 166, 62 [NASA ADS] [CrossRef] [Google Scholar]
  19. Bochanski, J. J., Hawley, S. L., Covey, K. R., et al. 2010, AJ, 139, 2679 [NASA ADS] [CrossRef] [Google Scholar]
  20. Bonfils, X., Delfosse, X., Udry, S., et al. 2013, A&A, 549, A109 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  21. Borsato, L., Malavolta, L., Piotto, G., et al. 2019, MNRAS, 484, 3233 [NASA ADS] [CrossRef] [Google Scholar]
  22. Bouchy, F., Doyon, R., Artigau, É., et al. 2017, The Messenger, 169, 21 [NASA ADS] [Google Scholar]
  23. Bouchy, F., Doyon, R., Pepe, F., et al. 2025, A&A, 700, A10 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  24. Boyajian, T. S., von Braun, K., van Belle, G. T., et al. 2012, ApJ, 757, 112 [NASA ADS] [CrossRef] [Google Scholar]
  25. Buchner, J., 2021, J. Open Source Softw., 6, 3001 [CrossRef] [Google Scholar]
  26. Cloutier, R., & Menou, K., 2020, AJ, 159, 211 [NASA ADS] [CrossRef] [Google Scholar]
  27. Cook, N. J., Artigau, É., Doyon, R., et al. 2022, PASP, 134, 114509 [NASA ADS] [CrossRef] [Google Scholar]
  28. CortÉs-Zuleta, P., Boisse, I., Klein, B., et al. 2023, A&A, 673, A14 [CrossRef] [EDP Sciences] [Google Scholar]
  29. Damasso, M., Pinamonti, M., Scandariato, G., & Sozzetti, A., 2019, MNRAS, 489, 2555 [NASA ADS] [CrossRef] [Google Scholar]
  30. Deck, K. M., Payne, M., & Holman, M. J., 2013, ApJ, 774, 129 [Google Scholar]
  31. Deline, A., Hooton, M. J., Lendl, M., et al. 2022, A&A, 659, A74 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  32. Delisle, J.-B., Unger, N., Hara, N. C., & SÉgransan, D., 2022, A&A, 659, A182 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  33. Donati, J.-F., Morin, J., Petit, P., et al. 2008, MNRAS, 390, 545 [NASA ADS] [CrossRef] [Google Scholar]
  34. Dressing, C. D., & Charbonneau, D., 2015, ApJ, 807, 45 [Google Scholar]
  35. Ercolano, B., & Pascucci, I., 2017, Roy. Soc. Open Sci., 4, 170114 [Google Scholar]
  36. Espinoza, N., 2018, RNAAS, 2, 209 [Google Scholar]
  37. Espinoza, N., & Jordán, A., 2015, MNRAS, 450, 1879 [Google Scholar]
  38. Espinoza, N., Kossakowski, D., & Brahm, R., 2019, MNRAS, 490, 2262 [Google Scholar]
  39. Foreman-Mackey, D., Hogg, D. W., Lang, D., & Goodman, J., 2013, PASP, 125, 306 [Google Scholar]
  40. Foreman-Mackey, D., Agol, E., Ambikasaran, S., & Angus, R., 2017a, AJ, 154, 220 [Google Scholar]
  41. Foreman-Mackey, D., Agol, E., Ambikasaran, S., & Angus, R., 2017b, AJ, 154, 220 [Google Scholar]
  42. French, M., Mattsson, T. R., Nettelmann, N., & Redmer, R., 2009, Phys. Rev. B, 79,054107 [NASA ADS] [CrossRef] [Google Scholar]
  43. Fulton, B. J., Petigura, E. A., Howard, A. W., et al. 2017, AJ, 154, 109 [Google Scholar]
  44. Ginzburg, S., Schlichting, H. E., & Sari, R., 2016, ApJ, 825, 29 [Google Scholar]
  45. González Hernández, J. I., Suárez Mascareño, A., Silva, A. M., et al. 2024, A&A, 690, A79 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  46. Guillot, T., & Morel, P., 1995, A&AS, 109, 109 [Google Scholar]
  47. Gupta, A., & Schlichting, H. E., 2020, MNRAS, 493, 792 [Google Scholar]
  48. Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357 [NASA ADS] [CrossRef] [Google Scholar]
  49. Henry, T. J., Jao, W., Subasavage, J. P., et al. 2006, AJ, 132, 2360 [Google Scholar]
  50. Holmberg, M., & Madhusudhan, N., 2024, A&A, 683, L2 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  51. Hoyer, S., Gandolfi, D., Armstrong, D. J., et al. 2021, MNRAS, 505, 3361 [NASA ADS] [CrossRef] [Google Scholar]
  52. Hunter, J. D., 2007, Comput. Sci. Eng., 9, 90 [NASA ADS] [CrossRef] [Google Scholar]
  53. Husser, T.-O., Wende-von Berg, S., Dreizler, S., et al. 2013, A&A, 553, A6 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  54. Inamdar, N. K., & Schlichting, H. E., 2016, ApJ, 817, L13 [NASA ADS] [CrossRef] [Google Scholar]
  55. Jahandar, F., Doyon, R., Artigau, É., et al. 2024, ApJ, 966, 56 [CrossRef] [Google Scholar]
  56. Jahandar, F., Doyon, R., Artigau, É., et al. 2025, ApJ, 978, 154 [Google Scholar]
  57. Jenkins, J. M., Twicken, J. D., McCauliff, S., et al. 2016, in Software and Cyberinfrastructure for Astronomy IV, 9913, eds. G. Chiozzi, & J. C. Guzman (SPIE), 99133E [Google Scholar]
  58. Jones, D., Stenning, D., Ford, E., et al. 2022, Ann. Appl. Statist., 16, 652 [Google Scholar]
  59. Kempton, E. M.-R., Bean, J. L., Louie, D. R., et al. 2018, PASP, 130, 114401 [CrossRef] [Google Scholar]
  60. Ketchum, J. A., Adams, F. C., & Bloch, A. M., 2013, ApJ, 762, 71 [Google Scholar]
  61. Khata, D., Mondal, S., Das, R., & Baug, T., 2021, MNRAS, 507, 1869 [NASA ADS] [CrossRef] [Google Scholar]
  62. Kochanek, C. S., Shappee, B. J., Stanek, K. Z., et al. 2017, PASP, 129, 104502 [Google Scholar]
  63. Kreidberg, L., 2015, PASP, 127, 1161 [Google Scholar]
  64. Kreidberg, L., Koll, D. D. B., Morley, C., et al. 2019, Nature, 573, 87 [NASA ADS] [CrossRef] [Google Scholar]
  65. Kurucz, R. L., 1979, ApJS, 40, 1 [NASA ADS] [CrossRef] [Google Scholar]
  66. Larue, P., Delfosse, X., Carmona, A., et al. 2025, A&A, 701, A216 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  67. Laune, J. T., Rodet, L., & Lai, D., 2022, MNRAS, 517, 4472 [Google Scholar]
  68. Lee, E. J., & Chiang, E., 2016, ApJ, 817, 90 [Google Scholar]
  69. Lee, E. J., & Connors, N. J., 2021, ApJ, 908, 32 [NASA ADS] [CrossRef] [Google Scholar]
  70. Leleu, A., Delisle, J.-B., Burn, R., et al. 2024, A&A, 687, L1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  71. Lopez, E. D., & Fortney, J. J., 2014, ApJ, 792, 1 [Google Scholar]
  72. Lucy, L. B., & Sweeney, M. A., 1971, AJ, 76, 544 [NASA ADS] [CrossRef] [Google Scholar]
  73. Madhusudhan, N., Nixon, M. C., Welbanks, L., Piette, A. A. A., & Booth, R. A., 2020, ApJ, 891, L7 [Google Scholar]
  74. Mann, A. W., Feiden, G. A., Gaidos, E., Boyajian, T., & Braun, K. v. 2015, ApJ, 804, 64 [CrossRef] [Google Scholar]
  75. Mann, A. W., Dupuy, T., Kraus, A. L., et al. 2019, ApJ, 871, 63 [Google Scholar]
  76. Marchwinski, R. C., Mahadevan, S., Robertson, P., Ramsey, L., & Harder, J., 2014, ApJ, 798, 63 [NASA ADS] [CrossRef] [Google Scholar]
  77. Mayor, M., Pepe, F., Queloz, D., et al. 2003, The Messenger, 114, 20 [NASA ADS] [Google Scholar]
  78. Morello, G., Tsiaras, A., Howarth, I. D., & Homeier, D., 2017, AJ, 154, 111 [NASA ADS] [CrossRef] [Google Scholar]
  79. Morris, R. L., Twicken, J. D., Smith, J. C., et al. 2020, Kepler Data Processing Handbook: Photometric Analysis, Kepler Science Document KSCI-19081003, id. 6, ed. J. M. Jenkins [Google Scholar]
  80. Neves, V., Bonfils, X., Santos, N. C., et al. 2012, A&A, 538, A25 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  81. Nixon, M. C., & Madhusudhan, N., 2021, MNRAS, 505, 3414 [NASA ADS] [CrossRef] [Google Scholar]
  82. Osborne, H. L. M., Nielsen, L. D., Van Eylen, V., & Barragán, O., 2024, A&A, 693, A4 [Google Scholar]
  83. Otegi, J. F., Dorn, C., Helled, R., et al. 2020, A&A, 640, A135 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  84. Owen, J. E., & Wu, Y., 2017, ApJ, 847, 29 [Google Scholar]
  85. Parc, L., Bouchy, F., Venturini, J., Dorn, C., & Helled, R., 2024, A&A, 688, A59 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  86. Parc, L., Bouchy, F., Cook, N. J., et al. 2025, A&A, 702, A138 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  87. Parker, L. T., Mendonça, J. M., Diamond-Lowe, H., et al. 2025, MNRAS, 538, 3263 [Google Scholar]
  88. Parviainen, H., Luque, R., & Palle, E., 2023, MNRAS, 527, 5693 [NASA ADS] [CrossRef] [Google Scholar]
  89. Plotnykov, M., & Valencia, D., 2020, MNRAS, 499, 932 [CrossRef] [Google Scholar]
  90. Rajpaul, V., Aigrain, S., Osborne, M. A., Reece, S., & Roberts, S., 2015, MNRAS, 452, 2269 [Google Scholar]
  91. Rasmussen, C. E., & Williams, C. K. I., 2005, Gaussian Processes for Machine Learning (The MIT Press) [Google Scholar]
  92. Reid, I. N., & Gizis, J. E., 1997, AJ, 113, 2246 [NASA ADS] [CrossRef] [Google Scholar]
  93. Rein, H., & Liu, S. F., 2012, A&A, 537, A128 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  94. Reiners, A., Bean, J. L., Huber, K. F., et al. 2010, ApJ, 710, 432 [Google Scholar]
  95. Reinhold, T., & Gizon, L., 2015, A&A, 583, A65 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  96. Rogers, J. G., Schlichting, H. E., & Owen, J. E., 2023, ApJ, 947, L19 [NASA ADS] [CrossRef] [Google Scholar]
  97. Rogers, L. A., 2015, ApJ, 801, 41 [Google Scholar]
  98. Sabotta, S., Schlecker, M., Chaturvedi, P., et al. 2021, A&A, 653, A114 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  99. Saumon, D., Chabrier, G., & van Horn, H. M., 1995, ApJS, 99, 713 [NASA ADS] [CrossRef] [Google Scholar]
  100. Skilling, J., 2004, in AIP Conference Proceedings, 735 (AIP), 395 [Google Scholar]
  101. Skilling, J., 2006, Bayesian Anal., 1, 833 [Google Scholar]
  102. Skrutskie, M. F., Cutri, R. M., Stiening, R., et al. 2006, AJ, 131, 1163 [NASA ADS] [CrossRef] [Google Scholar]
  103. Smith, J. C., Stumpe, M. C., Van Cleve, J. E., et al. 2012, PASP, 124, 1000 [Google Scholar]
  104. Speagle, J. S., 2020, MNRAS, 493, 3132 [Google Scholar]
  105. Stefanov, A. K., Hernández, J. I. G., Mascareño, A. S., et al. 2025a, Stellaractivity analysis of the nearby M dwarf GJ 526. Multi-dimensional Gaussianprocess modelling of RV, FWHM and S-index [Google Scholar]
  106. Stefanov, A. K., Suárez Mascareño, A., González Hernández, J. I., et al. 2025b, A&A, 695, A62 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  107. Stock, S., Kemmer, J., Kossakowski, D., et al. 2023, A&A, 674, A108 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  108. Stumpe, M. C., Smith, J. C., Van Cleve, J. E., et al. 2012, PASP, 124, 985 [Google Scholar]
  109. Stumpe, M. C., Smith, J. C., Catanzarite, J. H., et al. 2014, PASP, 126, 100 [Google Scholar]
  110. Suárez Mascareño, A., Rebolo, R., & González Hernández, J. I., 2016, A&A, 595, A12 [Google Scholar]
  111. Suárez Mascareño, A., Faria, J. P., Figueira, P., et al. 2020, A&A, 639, A77 [Google Scholar]
  112. Tran, Q. H., Bedell, M., Foreman-Mackey, D., & Luger, R., 2023, ApJ, 950, 162 [CrossRef] [Google Scholar]
  113. Trifonov, T., Kürster, M., Zechmeister, M., et al. 2018, A&A, 609, A117 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  114. Twicken, J. D., Clarke, B. D., Bryson, S. T., et al. 2010, in Software and Cyberinfrastructure for Astronomy, eds. N. M. Radziwill, & A. Bridger (SPIE) [Google Scholar]
  115. Valencia, D., Sasselov, D. D., & O’Connell, R. J., 2007, ApJ, 656, 545 [Google Scholar]
  116. Venturini, J., & Helled, R., 2017, ApJ, 848, 95 [NASA ADS] [CrossRef] [Google Scholar]
  117. Venturini, J., Guilera, O. M., Haldemann, J., Ronco, M. P., & Mordasini, C., 2020, A&A, 643, L1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  118. Virtanen, P., Gommers, R., Oliphant, T. E., et al. 2020, Nat. Methods, 17, 261 [Google Scholar]
  119. Wildi, F., Bouchy, F., Doyon, R., et al. 2022, SPIE Conf. Ser., 12184, 121841H [NASA ADS] [Google Scholar]
  120. Zeng, L., Jacobsen, S. B., Sasselov, D. D., et al. 2019, PNAS, 116, 9723 [Google Scholar]

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