Open Access
Issue
A&A
Volume 699, July 2025
Article Number A242
Number of page(s) 29
Section Stellar atmospheres
DOI https://doi.org/10.1051/0004-6361/202453517
Published online 14 July 2025
  1. Abramovich, F., & Benjamini, Y. 1995, Thresholding of Wavelet Coefficients as Multiple Hypotheses Testing Procedure (New York, NY: Springer New York), 5 [Google Scholar]
  2. Airapetian, V. S., Glocer, A., Khazanov, G. V., et al. 2017, ApJ, 836, L3 [NASA ADS] [CrossRef] [Google Scholar]
  3. Aizawa, M., Kawana, K., Kashiyama, K., et al. 2022, PASJ, 74, 1069 [NASA ADS] [CrossRef] [Google Scholar]
  4. Alstott, J., Bullmore, E., & Plenz, D. 2014, PLoS ONE, 9, e85777 [CrossRef] [Google Scholar]
  5. Alvarado, J., Velasco, J. M., Chavez, F., de Vega, F. F., & Hidalgo, J. I. 2023, Chemom. Intell. Lab. Syst., 243, 105017 [Google Scholar]
  6. Aschwanden, M. J. 2019, ApJ, 880, 105 [NASA ADS] [CrossRef] [Google Scholar]
  7. Astropy Collaboration (Price-Whelan, A. M., et al.) 2022, ApJ, 935, 167 [NASA ADS] [CrossRef] [Google Scholar]
  8. Astudillo-Defru, N., Delfosse, X., Bonfils, X., et al. 2017, A&A, 600, A13 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  9. Audard, M., Güdel, M., Drake, J. J., & Kashyap, V. L. 2000, ApJ, 541, 396 [Google Scholar]
  10. Benz, A. O., & Güdel, M. 2010, ARA&A, 48, 241 [NASA ADS] [CrossRef] [Google Scholar]
  11. Benz, W., Broeg, C., Fortier, A., et al. 2021, Exp. Astron., 51, 109 [Google Scholar]
  12. Boldog, Á., Szabó, G. M., Kriskovics, L., et al. 2023, A&A, 671, A127 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  13. Bolzan, M. J. A., Franco, A. M. S., & Echer, E. 2020, Adv. Space Res., 66, 299 [Google Scholar]
  14. Boro Saikia, S., Marvin, C. J., Jeffers, S. V., et al. 2018, A&A, 616, A108 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  15. Borucki, W. J., Koch, D., Basri, G., et al. 2010, Science, 327, 977 [Google Scholar]
  16. Brandeker, A., Patel, J. A., & Morris, B. M. 2024, PIPE: Extracting PSF photometry from CHEOPS data, Astrophysics Source Code Library [record ascl:2404.002] [Google Scholar]
  17. Broeg, C., Fortier, A., Ehrenreich, D., et al. 2013, in European Physical Journal Web of Conferences, 47, 03005 [Google Scholar]
  18. Bruevich, E. A., Katsova, M. M., & Sokolov, D. D. 2001, Astron. Rep., 45, 718 [Google Scholar]
  19. Bruno, G., Pagano, I., Scandariato, G., et al. 2024, A&A, 686, A239 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  20. Chang, S. W., Byun, Y. I., & Hartman, J. D. 2015, ApJ, 814, 35 [NASA ADS] [CrossRef] [Google Scholar]
  21. Chui, C. 1992, An Introduction to Wavelets, 1 (Mathematics of Computation) [Google Scholar]
  22. Clarke, R. W., Davenport, J. R. A., Gizis, J., et al. 2024, ApJS, 272, 41 [Google Scholar]
  23. Daubechies, I. 1992, 3. Discrete Wavelet Transforms: Frames (SIAM Publications Library), 53 [Google Scholar]
  24. Davenport, J. R. A. 2016, ApJ, 829, 23 [Google Scholar]
  25. Davenport, J. R. A., Hawley, S. L., Hebb, L., et al. 2014, ApJ, 797, 122 [Google Scholar]
  26. del Ser, D., Fors, O., & Núñez, J. 2018, A&A, 619, A86 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  27. Dillon, C. J., Jess, D. B., Mathioudakis, M., et al. 2020, ApJ, 904, 109 [NASA ADS] [CrossRef] [Google Scholar]
  28. Donoho, D. L., & Johnstone, I. M. 1994, Biometrika, 81, 425 [Google Scholar]
  29. Doyle, L., Bagnulo, S., Ramsay, G., Doyle, J. G., & Hakala, P. 2022, MNRAS, 512, 979 [NASA ADS] [CrossRef] [Google Scholar]
  30. Esquivel, J. A., Shen, Y., Leos-Barajas, V., et al. 2025, ApJ, 979, 141 [Google Scholar]
  31. Feinstein, A. D., Seligman, D. Z., France, K., Gagné, J., & Kowalski, A. 2024, AJ, 168, 60 [Google Scholar]
  32. Fors, O. 2006, PhD thesis, University of Barcelona, Spain [Google Scholar]
  33. Fortier, A., Simon, A. E., Broeg, C., et al. 2024, A&A, 687, A302 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  34. Ginsburg, A., Sipőcz, B. M., Brasseur, C. E., et al. 2019, AJ, 157, 98 [Google Scholar]
  35. Grant, S. D. T., Jess, D. B., Dillon, C. J., et al. 2023, ApJ, 957, 70 [Google Scholar]
  36. Güdel, M. 2007, Liv. Rev. Sol. Phys., 4, 3 [Google Scholar]
  37. Günther, M. N., Zhan, Z., Seager, S., et al. 2020, AJ, 159, 60 [Google Scholar]
  38. Haar, A. 1910, Math. Ann., 69, 331 [CrossRef] [Google Scholar]
  39. Harris, C. R., Millman, K. J., van der Walt, S. J., et al. 2020, Nature, 585, 357 [NASA ADS] [CrossRef] [Google Scholar]
  40. Hawley, S. L., Davenport, J. R. A., Kowalski, A. F., et al. 2014, ApJ, 797, 121 [Google Scholar]
  41. Hippke, M., David, T. J., Mulders, G. D., & Heller, R. 2019, AJ, 158, 143 [Google Scholar]
  42. Howard, W. S., Corbett, H., Law, N. M., et al. 2019, ApJ, 881, 9 [NASA ADS] [CrossRef] [Google Scholar]
  43. Howard, W. S., Corbett, H., Law, N. M., et al. 2020, ApJ, 895, 140 [NASA ADS] [CrossRef] [Google Scholar]
  44. Howard, W. S., & MacGregor, M. A. 2022, ApJ, 926, 204 [NASA ADS] [CrossRef] [Google Scholar]
  45. Howard, W. S., Tilley, M. A., Corbett, H., et al. 2018, ApJ, 860, L30 [Google Scholar]
  46. Howard, W. S., Kowalski, A. F., Flagg, L., et al. 2023, ApJ, 959, 64 [NASA ADS] [CrossRef] [Google Scholar]
  47. Hoyer, S., Guterman, P., Demangeon, O., et al. 2020, A&A, 635, A24 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  48. Hudson, H. S. 1991, Sol. Phys., 133, 357 [Google Scholar]
  49. Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [NASA ADS] [CrossRef] [Google Scholar]
  50. Ilin, E. 2021, J. Open Source Softw., 6, 2845 [NASA ADS] [CrossRef] [Google Scholar]
  51. Ilin, E., Schmidt, S. J., Poppenhäger, K., et al. 2021, A&A, 645, A42 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  52. Jackman, J. A. G., Wheatley, P. J., Acton, J. S., et al. 2021, MNRAS, 504, 3246 [NASA ADS] [CrossRef] [Google Scholar]
  53. Jang, Y. I., Sim, J. Y., Yang, J.-R., & Kwon, N. K. 2021, Sensors, 21, 1851 [Google Scholar]
  54. Jensen, A. G., Redfield, S., Endl, M., et al. 2012, ApJ, 751, 86 [Google Scholar]
  55. Jess, D. B., Dillon, C. J., Kirk, M. S., et al. 2019, ApJ, 871, 133 [Google Scholar]
  56. Ji, Y., Li, D., Yuan, G., et al. 2016, Radio Sci., 51, 680 [Google Scholar]
  57. Kálmán, S., Csizmadia, S., Pál, A., & Szabó, G. M. 2025, RNAAS, 9, 33 [Google Scholar]
  58. Konings, T., Baeyens, R., & Decin, L. 2022, A&A, 667, A15 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  59. Kounchev, O., Kalaglarsky, D., & Tsvetkov, M. 2010, in CompSysTech ‘10 (Association for Computing Machinery), 502 [Google Scholar]
  60. Kowalski, A. F. 2024, Liv. Rev. Sol. Phys., 21, 1 [NASA ADS] [CrossRef] [Google Scholar]
  61. Kowalski, A. F., Hawley, S. L., Wisniewski, J. P., et al. 2013, ApJS, 207, 15 [NASA ADS] [CrossRef] [Google Scholar]
  62. Kumar, A., Tomar, H., Mehla, V. K., Komaragiri, R., & Kumar, M. 2021, ISA Trans., 114, 251 [Google Scholar]
  63. Lammer, H., Güdel, M., Kulikov, Y., et al. 2012, Earth Planets Space, 64, 179 [NASA ADS] [CrossRef] [Google Scholar]
  64. Lee, G. R., Gommers, R., Waselewski, F., Wohlfahrt, K., & O’Leary, A. 2019, J. Open Source Softw., 4, 1237 [NASA ADS] [CrossRef] [Google Scholar]
  65. Lim, O., Benneke, B., Doyon, R., et al. 2023, ApJ, 955, L22 [NASA ADS] [CrossRef] [Google Scholar]
  66. Lin, C.-L., Apai, D., Giampapa, M. S., & Ip, W.-H. 2024, AJ, 168, 234 [Google Scholar]
  67. Lustig-Yaeger, J., Meadows, V. S., & Lincowski, A. P. 2019, AJ, 158, 27 [NASA ADS] [CrossRef] [Google Scholar]
  68. Mallat, S. 1989, IEEE Trans. Pattern Anal. Mach. Intell., 11, 674 [Google Scholar]
  69. Mallat, S. 2009, in A Wavelet Tour of Signal Processing, 3rd edn., S. Mallat (Boston: Academic Press), 535 [Google Scholar]
  70. Maxted, P. F. L., Ehrenreich, D., Wilson, T. G., et al. 2022, MNRAS, 514, 77 [NASA ADS] [CrossRef] [Google Scholar]
  71. Maxted, P. F. L., Ehrenreich, D., Wilson, T. G., et al. 2023, pycheops: Light curve analysis for ESA CHEOPS data, Astrophysics Source Code Library [record ascl:2312.034] [Google Scholar]
  72. Morgado, B. E., Bruno, G., Gomes-Júnior, A. R., et al. 2022, A&A, 664, L15 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  73. Ochsenbein, F., Bauer, P., & Marcout, J. 2000, A&AS, 143, 23 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  74. Oddo, D., Dragomir, D., Brandeker, A., et al. 2023, AJ, 165, 134 [NASA ADS] [CrossRef] [Google Scholar]
  75. Ojeda González, A., Mendes Junior, O., Menconi, V. E., & Oliveira Domingues, M. 2014, Geofis. Int., 53, 101 [Google Scholar]
  76. Parker, E. N. 1988, ApJ, 330, 474 [Google Scholar]
  77. Pasti, L., Walczak, B., Massart, D., & Reschiglian, P. 1999, Chemom. Intell. Lab. Syst., 48, 21 [Google Scholar]
  78. Pecaut, M. J., & Mamajek, E. E. 2013, ApJS, 208, 9 [Google Scholar]
  79. Percival, D. B., & Walden, A. T. 2000, Wavelet Methods for Time Series Analysis, Cambridge Series in Statistical and Probabilistic Mathematics (Cambridge University Press) [Google Scholar]
  80. Pietras, M., Falewicz, R., Siarkowski, M., Bicz, K., & Preś, P. 2022, ApJ, 935, 143 [NASA ADS] [CrossRef] [Google Scholar]
  81. Polat, C., & Özerdem, M. S. 2018, Bitlis Eren Univ. J. Sci. Technol. https://api.semanticscholar.org/CorpusID:64676223 [Google Scholar]
  82. Raetz, S., Stelzer, B., Damasso, M., & Scholz, A. 2020, A&A, 637, A22 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  83. Ramsay, G., Hakala, P., Doyle, J. G., Doyle, L., & Bagnulo, S. 2022, MNRAS, 511, 2755 [NASA ADS] [CrossRef] [Google Scholar]
  84. Rauer, H., Heras, A., Mas-Hesse, M., & Pagano, I. 2024, in European Planetary Science Congress, EPSC2024-197 [Google Scholar]
  85. Rhif, M., Ben Abbes, A., Farah, I. R., Martínez, B., & Sang, Y. 2019, Appl. Sci., 9, 1345 [Google Scholar]
  86. Ribas, I., Bolmont, E., Selsis, F., et al. 2016, A&A, 596, A111 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  87. Ricker, G. R., Winn, J. N., Vanderspek, R., et al. 2015, J. Astron. Telesc. Instrum. Syst., 1, 014003 [Google Scholar]
  88. Rimmer, P. B., Xu, J., Thompson, S. J., et al. 2018, Sci. Adv., 4, eaar3302 [Google Scholar]
  89. Rodrigo, C., Solano, E., & Bayo, A. 2012, SVO Filter Profile Service Version 1.0, IVOA Working Draft, 15 October 2012 [Google Scholar]
  90. Sakurai, T. 2022, Physics, 5, 11 [NASA ADS] [CrossRef] [Google Scholar]
  91. Sanz-Forcada, J., López-Puertas, M., Lampón, M., et al. 2025, A&A, 693, A285 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  92. Scalo, J., Kaltenegger, L., Segura, A., et al. 2007, Astrobiology, 7, 85 [Google Scholar]
  93. Schmitt, J. H. M. M., Kanbach, G., Rau, A., & Steinle, H. 2016, A&A, 589, A48 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  94. Schöfer, P., Jeffers, S. V., Reiners, A., et al. 2019, A&A, 623, A44 [Google Scholar]
  95. Seli, B., Vida, K., Oláh, K., et al. 2025, A&A, 694, A161 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  96. Sheikh, M. A., Weaver, R. L., & Dahmen, K. A. 2016, Phys. Rev. Lett., 117, 261101 [NASA ADS] [CrossRef] [Google Scholar]
  97. Souza-Feliciano, A. C., Alvarez-Candal, A., & Jiménez-Teja, Y. 2018, A&A, 614, A92 [EDP Sciences] [Google Scholar]
  98. Starck, J.-L., & Murtagh, F. 2006, Astronomical Image and Data Analysis (Springer-Verlag Berlin Heidelberg) [Google Scholar]
  99. Sulis, S., Lendl, M., Hofmeister, S., et al. 2020, A&A, 636, A70 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  100. Sulis, S., Lendl, M., Cegla, H. M., et al. 2023, A&A, 670, A24 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  101. Thompson, A., Biagini, A., Cracchiolo, G., et al. 2024, ApJ, 960, 107 [NASA ADS] [CrossRef] [Google Scholar]
  102. Tovar Mendoza, G., Davenport, J. R. A., Agol, E., Jackman, J. A. G., & Hawley, S. L. 2022, AJ, 164, 17 [CrossRef] [Google Scholar]
  103. Tovmassian, H. M., Zalinian, V. P., Silant’ev, N. A., Cardona, O., & Chavez, M. 2003, A&A, 399, 647 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  104. Van Rossum, G., & Drake, F. L. 2009, Python 3 Reference Manual (Scotts Valley, CA: CreateSpace) [Google Scholar]
  105. Verbeeck, C., Kraaikamp, E., Ryan, D. F., & Podladchikova, O. 2019, ApJ, 884, 50 [NASA ADS] [CrossRef] [Google Scholar]
  106. Vida, K., Bódi, A., Szklenár, T., & Seli, B. 2021, A&A, 652, A107 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  107. Virtanen, P., Gommers, R., Oliphant, T. E., et al. 2020, Nat. Methods, 17, 261 [Google Scholar]
  108. Weidner, C., Kroupa, P., & Maschberger, T. 2009, MNRAS, 393, 663 [CrossRef] [Google Scholar]
  109. Wenger, M., Ochsenbein, F., Egret, D., et al. 2000, A&AS, 143, 9 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  110. Wes McKinney 2010, in Proceedings of the 9th Python in Science Conference, eds. S. van der Walt, & J. Millman, 56 [Google Scholar]
  111. Wheatland, M. S. 2004, ApJ, 609, 1134 [CrossRef] [Google Scholar]
  112. Yan, F., Casasayas-Barris, N., Molaverdikhani, K., et al. 2019, A&A, 632, A69 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  113. Yang, M., Sang, Y.-F., Liu, C., & Wang, Z. 2016, Water, 8, 197 [Google Scholar]
  114. Yang, H., Liu, J., Gao, Q., et al. 2017, ApJ, 849, 36 [NASA ADS] [CrossRef] [Google Scholar]
  115. Yang, Z., Zhang, L., Meng, G., et al. 2023, A&A, 669, A15 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  116. Zimmerman, R., van Dyk, D. A., Kashyap, V. L., & Siemiginowska, A. 2024, MNRAS, 534, 2142 [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.