EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues Volume 689 (September 2024) A&A, 689 (2024) A143 References
Open Access
Issue
A&A
Volume 689, September 2024
Article Number A143
Number of page(s) 26
Section Planets and planetary systems
DOI https://doi.org/10.1051/0004-6361/202449149
Published online 06 September 2024
  1. Abuter, R., Schreiber, J., Eisenhauer, F., et al. 2006, New Astron. Rev., 50, 398 [Google Scholar]
  2. Agrawal, S., Ruffio, J.-B., Konopacky, Q. M., et al. 2023, AJ, 166, 15 [NASA ADS] [CrossRef] [Google Scholar]
  3. Amara, A., & Quanz, S. P. 2012, MNRAS, 427, 948 [Google Scholar]
  4. Benjamini, Y., & Hochberg, Y. 1995, J. R. Statis. Soc. Ser. B, 57, 289 [CrossRef] [Google Scholar]
  5. Bidot, A., Mouillet, D., & Carlotti, A. 2024, A&A, 682, A10 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  6. Boldt-Christmas, L., Lesjak, F., Wehrhahn, A., et al. 2024, A&A, 683, A244 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  7. Bonse, M. J., Garvin, E. O., Gebhard, T. D., et al. 2023, AJ, 166, 71 [NASA ADS] [CrossRef] [Google Scholar]
  8. Bradley, L., Sipőcz, B., Robitaille, T., et al. 2023, https://doi.org/18.5281/zenodo.7946442 [Google Scholar]
  9. Briechle, K., & Hanebeck, U. D. 2001, SPIE, 4387, 95 [NASA ADS] [Google Scholar]
  10. Brogi, M., & Line, M. R. 2019, AJ, 157, 114 [Google Scholar]
  11. Brogi, M., De Kok, R., Birkby, J., Schwarz, H., & Snellen, I. 2014, A&A, 565, A124 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  12. Cantalloube, F., Gomez-Gonzalez, C., Absil, O., et al. 2020, SPIE, 11448, 1027 [Google Scholar]
  13. Chaman, A., & Dokmanic, I. 2021, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 3773 [Google Scholar]
  14. Charnay, B., Bézard, B., Baudino, J.-L., et al. 2018, ApJ, 854, 172 [Google Scholar]
  15. Chollet, F. 2015, keras, https://github.com/fchollet/keras [Google Scholar]
  16. Cugno, G., Patapis, P., Stolker, T., et al. 2021, A&A, 653, A12 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  17. Czesla, S., Schröter, S., Schneider, C. P., et al. 2019, Astrophysics Source Code Library [record ascl:1906.010] [Google Scholar]
  18. Davis, J., & Goadrich, M. 2006, in Proceedings of the 23rd international conference on Machine learning, 233 [CrossRef] [Google Scholar]
  19. de Kok, R. J., Brogi, M., Snellen, I. A., et al. 2013, A&A, 554, A82 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  20. de Kok, R. J., Birkby, J., Brogi, M., et al. 2014, A&A, 561, A150 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  21. Fawcett, T. 2006, Pattern Recog. Lett., 27, 861 [CrossRef] [Google Scholar]
  22. Fisher, C., Hoeijmakers, H. J., Kitzmann, D., et al. 2020, AJ, 159, 192 [NASA ADS] [CrossRef] [Google Scholar]
  23. Gabbard, H., Williams, M., Hayes, F., & Messenger, C. 2018, Phys. Rev. Lett., 120, 141103 [NASA ADS] [CrossRef] [Google Scholar]
  24. Gandhi, S., de Regt, S., Snellen, I., et al. 2023, ApJ, 957, L36 [NASA ADS] [CrossRef] [Google Scholar]
  25. Gu, J., Wang, Z., Kuen, J., et al. 2018, Pattern Recog., 77, 354 [NASA ADS] [CrossRef] [Google Scholar]
  26. Guillot, T. 2010, A&A, 520, A27 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  27. Gulli, A., & Pal, S. 2017, Deep Learning with Keras (Birmingham, UK: Packt Publishing Ltd) [Google Scholar]
  28. Haffert, S., Bohn, A., De Boer, J., et al. 2019, Nat. Astron., 3, 749 [CrossRef] [Google Scholar]
  29. Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357 [NASA ADS] [CrossRef] [Google Scholar]
  30. Hayoz, J., Cugno, G., Quanz, S. P., et al. 2023, A&A, 678, A178 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  31. Hoeijmakers, H., Schwarz, H., Snellen, I., et al. 2018, A&A, 617, A144 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  32. Houllé, M., Vigan, A., Carlotti, A., et al. 2021, A&A, 652, A67 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  33. Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [NASA ADS] [CrossRef] [Google Scholar]
  34. Jenkins, J. S., Pavlenko, Y. V., Ivanyuk, O., et al. 2012, MNRAS, 420, 3587 [NASA ADS] [Google Scholar]
  35. Jensen-Clem, R., Mawet, D., Gonzalez, C. A. G., et al. 2017, AJ, 155, 19 [Google Scholar]
  36. Kiefer, S., Bohn, A. J., Quanz, S. P., Kenworthy, M., & Stolker, T. 2021, A&A, 652, A33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  37. Konopacky, Q. M., Barman, T. S., Macintosh, B. A., & Marois, C. 2013, Science, 339, 1398 [Google Scholar]
  38. Krizhevsky, A., Sutskever, I., & Hinton, G. E. 2012, Advances in Neural Information Processing Systems (New York: Curran Associates, Inc.), 25 [Google Scholar]
  39. Line, M. R., Stevenson, K. B., Bean, J., et al. 2016, AJ, 152, 203 [NASA ADS] [CrossRef] [Google Scholar]
  40. Madhusudhan, N., Amin, M. A., & Kennedy, G. M. 2014, ApJ, 794, L12 [Google Scholar]
  41. Madhusudhan, N., Piette, A. A., & Constantinou, S. 2021, ApJ, 918, 1 [NASA ADS] [CrossRef] [Google Scholar]
  42. Malek, S., Melgani, F., & Bazi, Y. 2018, J. Chemom., 32, e2977 [CrossRef] [Google Scholar]
  43. Mâlin, M., Boccaletti, A., Charnay, B., Kiefer, F., & Bézard, B. 2023, A&A, 671, A109 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  44. Marois, C., Lafreniere, D., Doyon, R., Macintosh, B., & Nadeau, D. 2006, ApJ, 641, 556 [NASA ADS] [CrossRef] [Google Scholar]
  45. Márquez-Neila, P., Fisher, C., Sznitman, R., & Heng, K. 2018, Nat. Astron., 2, 719 [CrossRef] [Google Scholar]
  46. McKinney, W., et al. 2010, in Proceedings of the 9th Python in Science Conference, 445, Austin, TX, 51 [Google Scholar]
  47. Mollière, P., & Snellen, I. 2019, A&A, 622, A139 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  48. Mollière, P., van Boekel, R., Bouwman, J., et al. 2017, A&A, 600, A10 [Google Scholar]
  49. Mollière, P., Wardenier, J., van Boekel, R., et al. 2019, A&A, 627, A67 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  50. Mollière, P., Molyarova, T., Bitsch, B., et al. 2022, ApJ, 934, 74 [CrossRef] [Google Scholar]
  51. Morley, C. V., Marley, M. S., Fortney, J. J., et al. 2014, ApJ, 787, 78 [Google Scholar]
  52. Morley, C. V., Mukherjee, S., Marley, M. S., et al. 2024, ApJ, submitted [arXiv:2402.00758] [Google Scholar]
  53. Mouton, C., Myburgh, J. C., & Davel, M. H. 2020, Stride and Translation Invariance in CNNs (Berlin: Springer International Publishing), 267 [Google Scholar]
  54. Nath-Ranga, R., Absil, O., Christiaens, V., & Garvin, E. O. 2024, A&A, 689, A142 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  55. Nixon, M. C., & Madhusudhan, N. 2021, MNRAS, 505, 3414 [NASA ADS] [CrossRef] [Google Scholar]
  56. Nowak, M., Lacour, S., Mollière, P., et al. 2020, A&A, 633, A110 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  57. Öberg, K. I., Murray-Clay, R., & Bergin, E. A. 2011, ApJ, 743, L16 [Google Scholar]
  58. O’Shea, K., & Nash, R. 2015, arXiv e-prints [arXiv:1511.08458] [Google Scholar]
  59. Patapis, P., Nasedkin, E., Cugno, G., et al. 2022, A&A, 658, A72 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  60. Pedregosa, F., Varoquaux, G., Gramfort, A., et al. 2011, J. Mach. Learn. Res., 12, 2825 [Google Scholar]
  61. Petit dit de la Roche, D., Hoeijmakers, H., & Snellen, I. 2018, A&A, 616, A146 [CrossRef] [EDP Sciences] [Google Scholar]
  62. Petrus, S., Bonnefoy, M., Chauvin, G., et al. 2021, A&A, 648, A59 [EDP Sciences] [Google Scholar]
  63. Petrus, S., Whiteford, N., Patapis, P., et al. 2024, ApJ, 966, L11 [NASA ADS] [CrossRef] [Google Scholar]
  64. Pham, D., & Kaltenegger, L. 2022, MNRAS, 513, L72 [NASA ADS] [CrossRef] [Google Scholar]
  65. Ruffio, J.-B., Macintosh, B., Konopacky, Q. M., et al. 2019, AJ, 158, 200 [Google Scholar]
  66. Saito, T., & Rehmsmeier, M. 2015, PloS one, 10, e0118432 [NASA ADS] [CrossRef] [Google Scholar]
  67. Seifahrt, A., Neuhäuser, R., & Hauschildt, P. 2007, A&A, 463, 309 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  68. Snellen, I., De Kok, R., De Mooij, E., et al. 2010, Proc. Int. Astron. Union, 6, 208 [CrossRef] [Google Scholar]
  69. Stolker, T., Bonse, M. J., Quanz, S. P., et al. 2019, A&A, 621, A59 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  70. Stolker, T., Quanz, S. P., Todorov, K. O., et al. 2020, A&A, 635, A182 [EDP Sciences] [Google Scholar]
  71. Stolker, T., Haffert, S. Y., Kesseli, A. Y., et al. 2021, AJ, 162, 286 [NASA ADS] [CrossRef] [Google Scholar]
  72. Toloşi, L., & Lengauer, T. 2011, Bioinformatics, 27, 1986 [CrossRef] [Google Scholar]
  73. Vasist, M., Rozet, F., Absil, O., et al. 2023, A&A, 672, A147 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  74. Vaughan, S. R., Birkby, J. L., Thatte, N., et al. 2024, MNRAS, 528, 3509 [NASA ADS] [CrossRef] [Google Scholar]
  75. Waldmann, I. 2016, ApJ, 820, 107 [NASA ADS] [CrossRef] [Google Scholar]
  76. Xuan, J. W., Wang, J., Ruffio, J.-B., et al. 2022, ApJ, 937, 54 [NASA ADS] [CrossRef] [Google Scholar]
  77. Zhang, Y., Snellen, I. A., Bohn, A. J., et al. 2021, Nature, 595, 370 [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.