EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues Volume 706 (February 2026) A&A, 706 (2026) A10 References
Open Access
Issue
A&A
Volume 706, February 2026
Article Number A10
Number of page(s) 17
Section Extragalactic astronomy
DOI https://doi.org/10.1051/0004-6361/202557044
Published online 27 January 2026
  1. Arévalo, P., Churazov, E., Lira, P., et al. 2024, A&A, 684, A133 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  2. Bellm, E. C., Kulkarni, S. R., Graham, M. J., et al. 2019, PASP, 131, 018002 [Google Scholar]
  3. Bianco, F. B., Ivezić, Ž., Jones, R. L., et al. 2022, ApJS, 258, 1 [NASA ADS] [CrossRef] [Google Scholar]
  4. Burke, C. J., Shen, Y., Blaes, O., et al. 2021, Science, 373, 789 [NASA ADS] [CrossRef] [Google Scholar]
  5. Butler, N. R., & Bloom, J. S. 2011, AJ, 141, 93 [Google Scholar]
  6. Cackett, E. M., Bentz, M. C., & Kara, E. 2021, iScience, 24, 102557 [NASA ADS] [CrossRef] [Google Scholar]
  7. Carnerero, M. I., Raiteri, C. M., Rimoldini, L., et al. 2023, A&A, 674, A24 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  8. Chambers, K. C., Magnier, E. A., Metcalfe, N., et al. 2016, ArXiv e-prints [arXiv:1612.05560] [Google Scholar]
  9. Czerny, B., Panda, S., Prince, R., et al. 2023, A&A, 675, A163 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  10. De Cicco, D., Paolillo, M., Falocco, S., et al. 2019, A&A, 627, A33 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  11. De Cicco, D., Bauer, F. E., Paolillo, M., et al. 2022, A&A, 664, A117 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  12. De Cicco, D., Zazzaro, G., Cavuoti, S., et al. 2025, A&A, 697, A204 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  13. Drake, A. J., Djorgovski, S. G., Mahabal, A., et al. 2009, ApJ, 696, 870 [Google Scholar]
  14. Emmanoulopoulos, D., McHardy, I. M., & Uttley, P. 2010, MNRAS, 404, 931 [NASA ADS] [CrossRef] [Google Scholar]
  15. Fasshauer, G., & Zhang, J. 2007, Numer. Algorithms, 45, 345 [Google Scholar]
  16. Flewelling, H. A., Magnier, E. A., Chambers, K. C., et al. 2020, ApJS, 251, 7 [NASA ADS] [CrossRef] [Google Scholar]
  17. Gaia Collaboration (Prusti, T., et al.) 2016, A&A, 595, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  18. Giveon, U., Maoz, D., Kaspi, S., Netzer, H., & Smith, P. S. 1999, MNRAS, 306, 637 [NASA ADS] [CrossRef] [Google Scholar]
  19. Graham, M. J., Kulkarni, S. R., Bellm, E. C., et al. 2019, PASP, 131, 078001 [Google Scholar]
  20. Guo, H., Wang, J., Cai, Z., & Sun, M. 2017, ApJ, 847, 132 [NASA ADS] [CrossRef] [Google Scholar]
  21. Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [NASA ADS] [CrossRef] [Google Scholar]
  22. Ivezić, Ž., Smith, J. A., Miknaitis, G., et al. 2007, AJ, 134, 973 [Google Scholar]
  23. Ivezić, Ž., Kahn, S. M., Tyson, J. A., et al. 2019, ApJ, 873, 111 [Google Scholar]
  24. Jordi, C., Gebran, M., Carrasco, J. M., et al. 2010, A&A, 523, A48 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  25. Kaiser, N., Burgett, W., Chambers, K., et al. 2010, SPIE Conf. Ser., 7733, 77330E [Google Scholar]
  26. Kelly, B. C., Bechtold, J., & Siemiginowska, A. 2009, ApJ, 698, 895 [Google Scholar]
  27. Komossa, S., Grupe, D., Marziani, P., et al. 2024, ArXiv e-prints [arXiv:2408.00089] [Google Scholar]
  28. Kovačević, A. B. K., Ilic, D., Popovic, L. C., et al. 2021, MNRAS, 505, 5012 [CrossRef] [Google Scholar]
  29. Kovačević, A. B., Radović, V., Ilić, D., et al. 2022, ApJS, 262, 49 [CrossRef] [Google Scholar]
  30. Kozłowski, S. 2016, ApJ, 826, 118 [CrossRef] [Google Scholar]
  31. Kozłowski, S. 2017, A&A, 597, A128 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  32. Law, N. M., Kulkarni, S. R., Dekany, R. G., et al. 2009, PASP, 121, 1395 [NASA ADS] [CrossRef] [Google Scholar]
  33. Lefkir, M., Vaughan, S., Huppenkothen, D., Uttley, P., & Anilkumar, V. 2025, MNRAS, 539, 1775 [Google Scholar]
  34. Lyubarskii, Y. E. 1997, MNRAS, 292, 679 [Google Scholar]
  35. MacLeod, C. L., Ivezić, Ž., Kochanek, C. S., et al. 2010, ApJ, 721, 1014 [Google Scholar]
  36. MacLeod, C. L., Ivezić, Ž., Sesar, B., et al. 2012, ApJ, 753, 106 [NASA ADS] [CrossRef] [Google Scholar]
  37. Masci, F. J., Laher, R. R., Rusholme, B., et al. 2019, PASP, 131, 018003 [Google Scholar]
  38. McHardy, I. M., Papadakis, I. E., Uttley, P., Page, M. J., & Mason, K. O. 2004, MNRAS, 348, 783 [NASA ADS] [CrossRef] [Google Scholar]
  39. McHardy, I. M., Koerding, E., Knigge, C., Uttley, P., & Fender, R. P. 2006, Nature, 444, 730 [NASA ADS] [CrossRef] [Google Scholar]
  40. Mushotzky, R. F., Edelson, R., Baumgartner, W., & Gandhi, P. 2011, ApJ, 743, L12 [NASA ADS] [CrossRef] [Google Scholar]
  41. Netzer, H. 2015, ARA&A, 53, 365 [Google Scholar]
  42. Ngeow, C. C., Lee, C. D., Yu, P. C., et al. 2019, J. Phys. Conf. Ser., 1231, 012010 [Google Scholar]
  43. Panagiotou, C., Papadakis, I., Kara, E., Kammoun, E., & Dovčiak, M. 2022, ApJ, 935, 93 [NASA ADS] [CrossRef] [Google Scholar]
  44. Paolillo, M., & Papadakis, I. 2025, Nuovo Cimento Rivista Serie [arXiv:2506.23899] [Google Scholar]
  45. Paolillo, M., Papadakis, I. E., Brandt, W. N., et al. 2023, A&A, 673, A68 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  46. Papadakis, I. E., & Binas-Valavanis, V. 2024, A&A, 685, A50 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  47. Papadakis, I. E., & Lawrence, A. 1993, MNRAS, 261, 612 [Google Scholar]
  48. Papoutsis, M., Papadakis, I. E., Panagiotou, C., Kammoun, E., & Dovčiak, M. 2025, A&A, 701, A295 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  49. Petrecca, V., Papadakis, I. E., Paolillo, M., De Cicco, D., & Bauer, F. E. 2024, A&A, 686, A286 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  50. Press, W. H. 1978, Comm. Astrophys., 7, 103 [NASA ADS] [Google Scholar]
  51. Priestley, M. B. 1981, Spectral Analysis and Time Series (Academic Press), 323 [Google Scholar]
  52. Raiteri, C. M., Carnerero, M. I., Balmaverde, B., et al. 2022, ApJS, 258, 3 [NASA ADS] [CrossRef] [Google Scholar]
  53. Rumbaugh, N., Shen, Y., Morganson, E., et al. 2018, ApJ, 854, 160 [NASA ADS] [CrossRef] [Google Scholar]
  54. Savić, D. V., Jankov, I., Yu, W., et al. 2023, ApJ, 953, 138 [CrossRef] [Google Scholar]
  55. Shappee, B., Prieto, J., Stanek, K. Z., et al. 2014, Am. Astron. Soc. Meeting Abstr., 223, 236.03 [NASA ADS] [Google Scholar]
  56. Shen, Y., Richards, G. T., Strauss, M. A., et al. 2011, ApJS, 194, 45 [Google Scholar]
  57. Stone, Z., Shen, Y., Burke, C. J., et al. 2022, MNRAS, 514, 164 [NASA ADS] [CrossRef] [Google Scholar]
  58. Suberlak, K. L., Ivezić, Ž., & MacLeod, C. 2021, ApJ, 907, 96 [NASA ADS] [CrossRef] [Google Scholar]
  59. Sun, M., Xue, Y., Brandt, W. N., et al. 2020, ApJ, 891, 178 [CrossRef] [Google Scholar]
  60. Tachibana, Y., Graham, M. J., Kawai, N., et al. 2020, ApJ, 903, 54 [NASA ADS] [CrossRef] [Google Scholar]
  61. Tang, J.-J., Wolf, C., & Tonry, J. 2023, Nat. Astron., 7, 473 [Google Scholar]
  62. Tonry, J. L., Denneau, L., Heinze, A. N., et al. 2018, PASP, 130, 064505 [Google Scholar]
  63. Ulrich, M.-H., Maraschi, L., & Urry, C. M. 1997, ARA&A, 35, 445 [NASA ADS] [CrossRef] [Google Scholar]
  64. van der Klis, M. 1988, Timing Neutron Stars, 262, 27 [Google Scholar]
  65. van der Walt, S., & Millman, J. 2010, Proceedings of the 9th Python in Science Conference [Google Scholar]
  66. van der Walt, S., Colbert, S. C., & Varoquaux, G. 2011, Comput. Sci. Eng., 13, 22 [Google Scholar]
  67. Virtanen, P., Gommers, R., Oliphant, T. E., et al. 2020, Nat. Methods, 17, 261 [Google Scholar]
  68. Wahba, G. 1990, Spline models for observational data [Google Scholar]
  69. Yu, W., Richards, G., Buat, V., et al. 2022a, https://doi.org/10.5281/zenodo.6878414 [Google Scholar]
  70. Yu, W., Richards, G. T., Vogeley, M. S., Moreno, J., & Graham, M. J. 2022b, ApJ, 936, 132 [NASA ADS] [CrossRef] [Google Scholar]
  71. Yu, W., Richards, G. T., Ruan, J. J., et al. 2025, ArXiv e-prints [arXiv:2508.12076] [Google Scholar]
  72. Yuk, H., & Dai, X. 2025, A&A, 698, A105 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  73. Zhou, S., Sun, M., Cai, Z.-Y., et al. 2024, ApJ, 966, 8 [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.