Open Access
Issue
A&A
Volume 663, July 2022
Article Number A118
Number of page(s) 25
Section Numerical methods and codes
DOI https://doi.org/10.1051/0004-6361/202243330
Published online 22 July 2022
  1. Ambikasaran, S., Foreman-Mackey, D., Greengard, L., Hogg, D. W., & O’Neil, M. 2015, IEEE Trans. Pattern Anal. Mach. Intell., 38, 252 [Google Scholar]
  2. Appourchaux, T. 2020, A&A, 642, A226 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  3. Appourchaux, T., Gizon, L., & Rabello-Soares, M. C. 1998, A&AS, 132, 107 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  4. Appourchaux, T., Samadi, R., & Dupret, M. A. 2009, A&A, 506, 1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  5. Appourchaux, T., Chaplin, W. J., García, R. A., et al. 2012, A&A, 543, A54 [CrossRef] [EDP Sciences] [Google Scholar]
  6. Appourchaux, T., Antia, H. M., Benomar, O., et al. 2014, A&A, 566, A20 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  7. Astropy Collaboration (Robitaille, T. P., et al.) 2013, A&A, 558, A33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  8. Astropy Collaboration (Price-Whelan, A. M., et al.) 2018, AJ, 156, 123 [Google Scholar]
  9. Auvergne, M., Bodin, P., Boisnard, L., et al. 2009, A&A, 506, 411 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  10. Ballot, J., García, R. A., & Lambert, P. 2006, MNRAS, 369, 1281 [Google Scholar]
  11. Ballot, J., Appourchaux, T., Toutain, T., & Guittet, M. 2008, A&A, 486, 867 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  12. Beck, P. G., Bedding, T. R., Mosser, B., et al. 2011, Science, 332, 205 [Google Scholar]
  13. Bedding, T. R., Mosser, B., Huber, D., et al. 2011, Nature, 471, 608 [Google Scholar]
  14. Benomar, O., Appourchaux, T., & Baudin, F. 2009, A&A, 506, 15 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  15. Benomar, O., Bedding, T. R., Stello, D., et al. 2012, ApJ, 745, L33 [NASA ADS] [CrossRef] [Google Scholar]
  16. Borucki, W. J., Koch, D. G., Basri, G., et al. 2011, ApJ, 736, 19 [Google Scholar]
  17. Breton, S. N., Santos, A. R. G., Bugnet, L., et al. 2021, A&A, 647, A125 [EDP Sciences] [Google Scholar]
  18. Breton, S. N., Pallé, P. L., García, R. A., et al. 2022, A&A, 658, A27 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  19. Broomhall, A. M., Chaplin, W. J., Elsworth, Y., Appourchaux, T., & New, R. 2010, MNRAS, 406, 767 [NASA ADS] [Google Scholar]
  20. Buzasi, D., Catanzarite, J., Laher, R., et al. 2000, ApJ, 532, L133 [Google Scholar]
  21. Chaplin, W. J., Elsworth, Y., Howe, R., et al. 1996, Sol. Phys., 168, 1 [NASA ADS] [CrossRef] [Google Scholar]
  22. Chaplin, W. J., Appourchaux, T., Arentoft, T., et al. 2008, Astron. Nachr., 329, 549 [NASA ADS] [CrossRef] [Google Scholar]
  23. Chaplin, W. J., Kjeldsen, H., Christensen-Dalsgaard, J., et al. 2011, Science, 332, 213 [Google Scholar]
  24. Christensen-Dalsgaard, J. 2008, Lecture Notes on Stellar Oscillations, 15th edn. https://phys.au.dk/~jcd/oscilnotes/ [Google Scholar]
  25. Collette, A. 2013, Python and HDF5 (O’Reilly) [Google Scholar]
  26. Conda-forge community 2015, https://10.5281/zenodo.4774217 [Google Scholar]
  27. Corsaro, E., & De Ridder, J. 2014, A&A, 571, A71 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  28. Corsaro, E., Grundahl, F., Leccia, S., et al. 2012, A&A, 537, A9 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  29. Corsaro, E., McKeever, J. M., & Kuszlewicz, J. S. 2020, A&A, 640, A130 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  30. Davies, G. R., Silva Aguirre, V., Bedding, T. R., et al. 2016, MNRAS, 456, 2183 [Google Scholar]
  31. Deheuvels, S., Ballot, J., Beck, P. G., et al. 2015, A&A, 580, A96 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  32. Duvall, T. L. J., Jefferies, S. M., Harvey, J. W., Osaki, Y., & Pomerantz, M. A. 1993, ApJ, 410, 829 [NASA ADS] [CrossRef] [Google Scholar]
  33. Dziembowski, W. 1977, Acta Astron., 27, 203 [NASA ADS] [Google Scholar]
  34. Fletcher, S. T., Chaplin, W. J., Elsworth, Y., Schou, J., & Buzasi, D. 2006, MNRAS, 371, 935 [NASA ADS] [CrossRef] [Google Scholar]
  35. Foreman-Mackey, D. 2016, J. Open Source Softw., 1, 24 [Google Scholar]
  36. Foreman-Mackey, D., Hogg, D. W., Lang, D., & Goodman, J. 2013, PASP, 125, 306 [Google Scholar]
  37. Fredslund Andersen, M., Pallé, P., Jessen-Hansen, J., et al. 2019, A&A, 623, L9 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  38. Fröhlich, C., Romero, J., Roth, H., et al. 1995, Sol. Phys., 162, 101 [Google Scholar]
  39. Gabriel, M. 1994, A&A, 287, 685 [NASA ADS] [Google Scholar]
  40. Gabriel, A. H., Grec, G., Charra, J., et al. 1995, Sol. Phys., 162, 61 [Google Scholar]
  41. García, R. A. 2015, in EAS Publications Series, 73-74, 193 [CrossRef] [EDP Sciences] [Google Scholar]
  42. García, R. A., & Ballot, J. 2019, Liv. Rev. Solar Phys., 16, 4 [CrossRef] [Google Scholar]
  43. García, R. A., Boumier, P., Charra, J., et al. 1999, A&A, 346, 626 [NASA ADS] [Google Scholar]
  44. García, R. A., Hekker, S., Stello, D., et al. 2011, MNRAS, 414, L6 [NASA ADS] [CrossRef] [Google Scholar]
  45. Gaulme, P., Appourchaux, T., & Boumier, P. 2009, A&A, 506, 7 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  46. Gizon, L., & Solanki, S. K. 2003, ApJ, 589, 1009 [Google Scholar]
  47. Goodman, J., & Weare, J. 2010, Commun. Appl. Math. Comput. Sci., 5, 65 [Google Scholar]
  48. Gruberbauer, M., & Guenther, D. B. 2013, MNRAS, 432, 417 [NASA ADS] [CrossRef] [Google Scholar]
  49. Gruberbauer, M., Kallinger, T., Weiss, W. W., & Guenther, D. B. 2009, A&A, 506, 1043 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  50. Gruberbauer, M., Guenther, D. B., MacLeod, K., & Kallinger, T. 2013, MNRAS, 435, 242 [CrossRef] [Google Scholar]
  51. Grundahl, F., Kjeldsen, H., Christensen-Dalsgaard, J., Arentoft, T., & Frandsen, S. 2007, Commun. Asteroseismol., 150, 300 [NASA ADS] [CrossRef] [Google Scholar]
  52. Grundahl, F., Fredslund Andersen, M., Christensen-Dalsgaard, J., et al. 2017, ApJ, 836, 142 [Google Scholar]
  53. Handberg, R., & Campante, T. L. 2011, A&A, 527, A56 [CrossRef] [EDP Sciences] [Google Scholar]
  54. Handberg, R., & Lund, M. N. 2014, MNRAS, 445, 2698 [Google Scholar]
  55. Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357 [NASA ADS] [CrossRef] [Google Scholar]
  56. Harvey, J. 1985, in ESA Special Publication, Future Missions in Solar, Heliospheric & Space Plasma Physics, eds. E. Rolfe, & B. Battrick, 235, 199 [NASA ADS] [Google Scholar]
  57. Harvey, J. W., Hill, F., Hubbard, R. P., et al. 1996, Science, 272, 1284 [Google Scholar]
  58. Hastings, W. K. 1970, Biometrika, 57, 97 [Google Scholar]
  59. Hill, M. L., Kane, S. R., Campante, T. L., et al. 2021, AJ, 162, 211 [NASA ADS] [CrossRef] [Google Scholar]
  60. Houdayer, P. S., Reese, D. R., Goupil, M.-J., & Lebreton, Y. 2021, A&A, 655, A85 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  61. Howell, S. B., Sobeck, C., Haas, M., et al. 2014, PASP, 126, 398 [Google Scholar]
  62. Huber, D., White, T. R., Metcalfe, T. S., et al. 2022, AJ, 163, 79 [NASA ADS] [CrossRef] [Google Scholar]
  63. Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [NASA ADS] [CrossRef] [Google Scholar]
  64. Jiménez-Reyes, S. J., Chaplin, W. J., García, R. A., et al. 2008, MNRAS, 389, 1780 [CrossRef] [Google Scholar]
  65. Kallinger, T., De Ridder, J., Hekker, S., et al. 2014, A&A, 570, A41 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  66. Kass, R. E., & Raftery, A. E. 1995, J. Am. Stat. Assoc., 90, 773 [Google Scholar]
  67. Kjeldsen, H., & Bedding, T. R. 1995, A&A, 293, 87 [NASA ADS] [Google Scholar]
  68. Kjeldsen, H., Bedding, T. R., Viskum, M., & Frandsen, S. 1995, AJ, 109, 1313 [NASA ADS] [CrossRef] [Google Scholar]
  69. Korzennik, S. G. 2005, ApJ, 626, 585 [NASA ADS] [CrossRef] [Google Scholar]
  70. Ledoux, P. 1951, ApJ, 114, 373 [Google Scholar]
  71. Liu, J. 2009, Monte Carlo Strategies in Scientific Computing (New York: Springer) [Google Scholar]
  72. Lund, M. N., Silva Aguirre, V., Davies, G. R., et al. 2017, ApJ, 835, 172 [Google Scholar]
  73. Mathur, S., García, R. A., Régulo, C., et al. 2010, A&A, 511, A46 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  74. Mathur, S., Huber, D., Batalha, N. M., et al. 2017, ApJS, 229, 30 [NASA ADS] [CrossRef] [Google Scholar]
  75. Mathur, S., García, R. A., Breton, S., et al. 2022, A&A, 657, A31 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  76. Matthews, J. M., Kuschnig, R., Walker, G. A. H., et al. 2000, in The Impact of Large-Scale Surveys on Pulsating Star Research, lAU Colloq. 176, eds. L. Szabados, & D. Kurtz, ASP Conf. Ser., 203, 74 [NASA ADS] [Google Scholar]
  77. Mazumdar, A., Monteiro, M. J. P. F. G., Ballot, J., et al. 2014, ApJ, 782, 18 [NASA ADS] [CrossRef] [Google Scholar]
  78. Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., & Teller, E. 1953, J. Chem. Phys., 21, 1087 [Google Scholar]
  79. Mosser, B., Barban, C., Montalbán, J., et al. 2011, A&A, 532, A86 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  80. Mosser, B., Vrard, M., Belkacem, K., Deheuvels, S., & Goupil, M. J. 2015, A&A, 584, A50 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  81. Nielsen, M. B., Davies, G. R., Ball, W. H., et al. 2021, AJ, 161, 62 [NASA ADS] [CrossRef] [Google Scholar]
  82. Nigam, R., & Kosovichev, A. G. 1998, ApJ, 505, L51 [NASA ADS] [CrossRef] [Google Scholar]
  83. Oliphant, T. 2006, NumPy: A guide to NumPy (Trelgol Publishing) [Google Scholar]
  84. Pallé, P. L., Grundahl, F., Triviño Hage, A., et al. 2013, in Journal of Physics Conference Series, 440, 012051 [CrossRef] [Google Scholar]
  85. Pandas development team, T. 2020, https://10.5281/zenodo.3630805 [Google Scholar]
  86. Press, W. H., Teukolsky, S. A., Vetterling, W. T., & Flannery, B. P. 1992, Numerical recipes in FORTRAN. The art of scientific computing 2nd edn. (Cambridge University Press) [Google Scholar]
  87. Rauer, H., Catala, C., Aerts, C., et al. 2014, Exp. Astron., 38, 249 [Google Scholar]
  88. Ricker, G. R., Winn, J. N., Vanderspek, R., et al. 2015, J. Astron. Telescopes Instrum. Syst. 1, 014003 [Google Scholar]
  89. Salabert, D., Fossat, E., Gelly, B., et al. 2002, A&A, 390, 717 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  90. Salabert, D., Fossat, E., Gelly, B., et al. 2004, A&A, 413, 1135 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  91. Salabert, D., Chaplin, W. J., Elsworth, Y., New, R., & Verner, G. A. 2007, A&A, 463, 1181 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  92. Salabert, D., Ballot, J., & García, R. A. 2011a, in GONG-SoHO 24: A New Era of Seismology of the Sun and Solar-Like Stars, J. Phys. Conf. Ser., 271, 012053 [NASA ADS] [CrossRef] [Google Scholar]
  93. Salabert, D., Ballot, J., & García, R. A. 2011b, A&A, 528, A25 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  94. Salabert, D., García, R. A., & Turck-Chièze, S. 2015, A&A, 578, A137 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  95. Santos, A. R. G., García, R. A., Mathur, S., et al. 2019, ApJS, 244, 21 [Google Scholar]
  96. Santos, A. R. G., Breton, S. N., Mathur, S., & García, R. A. 2021, ApJS, 255, 17 [NASA ADS] [CrossRef] [Google Scholar]
  97. Scherrer, P. H., Bogart, R. S., Bush, R. I., et al. 1995, Sol. Phys., 162, 129 [Google Scholar]
  98. Scherrer, P. H., Schou, J., Bush, R. I., et al. 2012, Sol. Phys., 275, 207 [Google Scholar]
  99. Silva Aguirre, V., Lund, M. N., Antia, H. M., et al. 2017, ApJ, 835, 173 [Google Scholar]
  100. Smith, A. M. S., Breton, S. N., Csizmadia, S., et al. 2022, MNRAS, 510, 5035 [NASA ADS] [CrossRef] [Google Scholar]
  101. Sokal, A. 1997, Monte Carlo Methods in Statistical Mechanics: Foundations and New Algorithms, eds. C. DeWitt-Morette, P. Cartier, & A. Folacci (Boston, MA: Springer US), 131 [Google Scholar]
  102. Stahn, T., & Gizon, L. 2008, Sol. Phys., 251, 31 [NASA ADS] [CrossRef] [Google Scholar]
  103. Tassoul, M. 1980, ApJS, 43, 469 [Google Scholar]
  104. Tayar, J., Claytor, Z. R., Huber, D., & van Saders, J. 2022, ApJ, 927, 31 [NASA ADS] [CrossRef] [Google Scholar]
  105. Toutain, T., & Appourchaux, T. 1994, A&A, 289, 649 [NASA ADS] [Google Scholar]
  106. Toutain, T., & Gouttebroze, P. 1993, A&A, 268, 309 [NASA ADS] [Google Scholar]
  107. Toutain, T., Appourchaux, T., Fröhlich, C., et al. 1998, ApJ, 506, L147 [NASA ADS] [CrossRef] [Google Scholar]
  108. Unno, W., Osaki, Y., Ando, H., Saio, H., & Shibahashi, H. 1989, Nonradial oscillations of stars (Tokyo: University of Tokyo Press) [Google Scholar]
  109. Van Rossum, G., & Drake, F. L. 2009, Python 3 Reference Manual (Scotts Valley, CA: CreateSpace) [Google Scholar]
  110. Virtanen, P., Gommers, R., Oliphant, T. E., et al. 2020, Nature Methods, 17, 261 [CrossRef] [Google Scholar]
  111. Wes McKinney. 2010, in Proceedings of the 9th Python in Science Conference, eds. Stéfan van der Walt, & Jarrod Millman, 56 [CrossRef] [Google Scholar]
  112. White, T. R., Bedding, T. R., Stello, D., et al. 2011, ApJ, 742, L3 [Google Scholar]
  113. Woodard, M. F. 1984, PhD thesis, University of California, San Diego [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.