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Home All issues Volume 698 (May 2025) A&A, 698 (2025) A61 References
Press Release
Open Access
Issue
A&A
Volume 698, May 2025
Article Number A61
Number of page(s) 19
Section Numerical methods and codes
DOI https://doi.org/10.1051/0004-6361/202553785
Published online 06 June 2025
  1. Abadi, M., Agarwal, A., Barham, P., et al. 2016a, arXiv e-prints [arXiv:1603.04467] [Google Scholar]
  2. Abadi, M., Barham, P., Chen, J., et al. 2016b, arXiv e-prints [arXiv:1605.08695] [Google Scholar]
  3. Advani, M. S., & Saxe, A. M. 2017, arXiv e-prints [arXiv:1710.03667] [Google Scholar]
  4. Aghabiglou, A., Chu, C. S., Dabbech, A., & Wiaux, Y. 2024, ApJS, 273, 3 [NASA ADS] [CrossRef] [Google Scholar]
  5. Anantua, R., Ressler, S., & Quataert, E. 2020, MNRAS, 493, 1404 [CrossRef] [Google Scholar]
  6. Balick, B., & Brown, R. L. 1974, ApJ, 194, 265 [NASA ADS] [CrossRef] [Google Scholar]
  7. Bardeen, J. M. 1973, in Black Holes (Les Astres Occlus), 215 [Google Scholar]
  8. Baron, D. 2019, arXiv e-prints [arXiv:1904.07248] [Google Scholar]
  9. Bartlett, P. L., Long, P. M., Lugosi, G., & Tsigler, A. 2020, PNAS, 117, 30063 [Google Scholar]
  10. Belkin, M., Hsu, D., Ma, S., & Mandal, S. 2019, PNAS, 116, 15849 [Google Scholar]
  11. Biretta, J. A., Sparks, W. B., & Macchetto, F. 1999, ApJ, 520, 621 [NASA ADS] [CrossRef] [Google Scholar]
  12. Blackburn, L., Doeleman, S., Dexter, J., et al. 2019, arXiv e-prints [arXiv:1909.01411] [Google Scholar]
  13. Blackburn, L., Pesce, D. W., Johnson, M. D., et al. 2020, ApJ, 894, 31 [Google Scholar]
  14. Blundell, C., Cornebise, J., Kavukcuoglu, K., & Wierstra, D. 2015, Proceedings of the 32nd International Conference on Machine Learning, 37, 1613 [Google Scholar]
  15. Broderick, A. E., & Pesce, D. W. 2020, ApJ, 904, 126 [NASA ADS] [CrossRef] [Google Scholar]
  16. Broderick, A. E., Gold, R., Karami, M., et al. 2020, ApJ, 897, 139 [Google Scholar]
  17. Broderick, A. E., Gold, R., Georgiev, B., et al. 2022, ApJ, 930, L21 [NASA ADS] [CrossRef] [Google Scholar]
  18. Bronzwaer, T., & Falcke, H. 2021, ApJ, 920, 155 [NASA ADS] [CrossRef] [Google Scholar]
  19. Bronzwaer, T., Davelaar, J., Younsi, Z., et al. 2018, A&A, 613, A2 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  20. Bronzwaer, T., Younsi, Z., Davelaar, J., & Falcke, H. 2020, A&A, 641, A126 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  21. Broughton, M., Verdon, G., McCourt, T., et al. 2020, arXiv e-prints [arXiv:2003.02989] [Google Scholar]
  22. Byram, E. T., Chubb, T. A., & Friedman, H. 1966, Science, 152, 66 [Google Scholar]
  23. Chael, A., Rowan, M., Narayan, R., Johnson, M., & Sironi, L. 2018, MNRAS, 478, 5209 [NASA ADS] [CrossRef] [Google Scholar]
  24. Chael, A., Narayan, R., & Johnson, M. D. 2019, MNRAS, 486, 2873 [NASA ADS] [CrossRef] [Google Scholar]
  25. Chael, A., Johnson, M. D., & Lupsasca, A. 2021, ApJ, 918, 6 [NASA ADS] [CrossRef] [Google Scholar]
  26. Chael, A., Lupsasca, A., Wong, G. N., & Quataert, E. 2023, ApJ, 958, 65 [NASA ADS] [CrossRef] [Google Scholar]
  27. Chashkina, A., Bromberg, O., & Levinson, A. 2021, MNRAS, 508, 1241 [NASA ADS] [CrossRef] [Google Scholar]
  28. Chatterji, N. S., & Long, P. M. 2020, arXiv e-prints [arXiv:2004.12019] [Google Scholar]
  29. Chatterjee, K., Markoff, S., Neilsen, J., et al. 2021, MNRAS, 507, 5281 [NASA ADS] [CrossRef] [Google Scholar]
  30. Chatterjee, K., Liska, M., Tchekhovskoy, A., & Markoff, S. 2023, arXiv e-prints [arXiv:2311.00432] [Google Scholar]
  31. Choromanska, A., Henaff, M., Mathieu, M., Ben Arous, G., & LeCun, Y. 2014, arXiv e-prints [arXiv:1412.0233] [Google Scholar]
  32. Conroy, N. S., Bauböck, M., Dhruv, V., et al. 2023, ApJ, 951, 46 [CrossRef] [Google Scholar]
  33. Conway, J. E., Cornwell, T. J., & Wilkinson, P. N. 1990, MNRAS, 246, 490 [Google Scholar]
  34. Crinquand, B., Cerutti, B., Philippov, A., Parfrey, K., & Dubus, G. 2020, Phys. Rev. Lett., 124, 145101 [Google Scholar]
  35. Crinquand, B., Cerutti, B., Dubus, G., Parfrey, K., & Philippov, A. 2022, Phys. Rev. Lett., 129, 205101 [Google Scholar]
  36. Cruz-Osorio, A., Fromm, C. M., Mizuno, Y., et al. 2022, Nat. Astron., 6, 103 [Google Scholar]
  37. Curtis, H. D. 1918, Publ. Lick Observ., 13, 9 [Google Scholar]
  38. Davelaar, J. 2025, ApJ, 978, L10 [Google Scholar]
  39. Davelaar, J., Mościbrodzka, M., Bronzwaer, T., & Falcke, H. 2018, A&A, 612, A34 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  40. Davelaar, J., Olivares, H., Porth, O., et al. 2019, A&A, 632, A2 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  41. Davelaar, J., Philippov, A. A., Bromberg, O., & Singh, C. B. 2020, ApJ, 896, L31 [NASA ADS] [CrossRef] [Google Scholar]
  42. De Villiers, J.-P., & Hawley, J. F. 2003, ApJ, 592, 1060 [Google Scholar]
  43. Deelman, E., Vahi, K., Juve, G., et al. 2015, Future Gener. Comput. Syst., 46, 17 [Google Scholar]
  44. Dewdney, P. E., Hall, P. J., Schilizzi, R. T., & Lazio, T. J. L. W. 2009, IEEE Proc., 97, 1482 [Google Scholar]
  45. Dexter, J., McKinney, J. C., & Agol, E. 2012, MNRAS, 421, 1517 [NASA ADS] [CrossRef] [Google Scholar]
  46. Dibi, S., Drappeau, S., Fragile, P. C., Markoff, S., & Dexter, J. 2012, MNRAS, 426, 1928 [NASA ADS] [CrossRef] [Google Scholar]
  47. Dillon, J. V., Langmore, I., Tran, D., et al. 2017, arXiv e-prints [arXiv:1711.10604] [Google Scholar]
  48. Djorgovski, S. G., Mahabal, A. A., Graham, M. J., Polsterer, K., & Krone-Martins, A. 2022, arXiv e-prints [arXiv:2212.01493] [Google Scholar]
  49. Do, T., Hees, A., Ghez, A., et al. 2019, Science, 365, 664 [Google Scholar]
  50. Doeleman, S. S., Barrett, J., Blackburn, L., et al. 2023, Galaxies, 11, 107 [NASA ADS] [CrossRef] [Google Scholar]
  51. Duarte, R., Nemmen, R., & Navarro, J. P. 2022, MNRAS, 512, 5848 [Google Scholar]
  52. EHT MWL Science Working Group, (Algaba, J. C., et al.) 2021, ApJ, 911, L11 [NASA ADS] [CrossRef] [Google Scholar]
  53. Emami, R., Doeleman, S. S., Wielgus, M., et al. 2023a, ApJ, 955, 6 [Google Scholar]
  54. Emami, R., Ricarte, A., Wong, G. N., et al. 2023b, ApJ, 950, 38 [NASA ADS] [CrossRef] [Google Scholar]
  55. Event Horizon Telescope Collaboration (Akiyama, K., et al.) 2019a, ApJ, 875, L2 [Google Scholar]
  56. Event Horizon Telescope Collaboration (Akiyama, K., et al.) 2019b, ApJ, 875, L3 [Google Scholar]
  57. Event Horizon Telescope Collaboration (Akiyama, K., et al.) 2019c, ApJ, 875, L4 [Google Scholar]
  58. Event Horizon Telescope Collaboration (Akiyama, K., et al.) 2019d, ApJ, 875, L5 [Google Scholar]
  59. Event Horizon Telescope Collaboration (Akiyama, K., et al.) 2019e, ApJ, 875, L6 [Google Scholar]
  60. Event Horizon Telescope Collaboration (Akiyama, K., et al.) 2021a, ApJ, 910, 48 [CrossRef] [Google Scholar]
  61. Event Horizon Telescope Collaboration (Akiyama, K., et al.) 2021b, ApJ, 875, 5 [Google Scholar]
  62. Event Horizon Telescope Collaboration (Akiyama, K., et al.) 2021c, ApJ, 910, L13 [Google Scholar]
  63. Event Horizon Telescope Collaboration (Akiyama, K., et al.) 2022a, ApJ, 930, L13 [NASA ADS] [CrossRef] [Google Scholar]
  64. Event Horizon Telescope Collaboration (Akiyama, K., et al.) 2022b, ApJ, 930, L14 [NASA ADS] [CrossRef] [Google Scholar]
  65. Event Horizon Telescope Collaboration (Akiyama, K., et al.) 2022c, ApJ, 930, L15 [NASA ADS] [CrossRef] [Google Scholar]
  66. Event Horizon Telescope Collaboration (Akiyama, K., et al.) 2022d, ApJ, 930, L17 [NASA ADS] [CrossRef] [Google Scholar]
  67. Event Horizon Telescope Collaboration (Akiyama, K., et al.) 2022e, ApJ, 930, L16 [NASA ADS] [CrossRef] [Google Scholar]
  68. Event Horizon Telescope Collaboration (Akiyama, K., et al.) 2023, ApJ, 957, L20 [NASA ADS] [CrossRef] [Google Scholar]
  69. Event Horizon Telescope Collaboration (Akiyama, K., et al.) 2024a, ApJ, 964, L26 [CrossRef] [Google Scholar]
  70. Event Horizon Telescope Collaboration 2024b, arXiv e-prints [arXiv:2410.02986] [Google Scholar]
  71. Falcke, H., Melia, F., & Agol, E. 2000, ApJ, 528, L13 [Google Scholar]
  72. Feng, B. T., Bouman, K. L., & Freeman, W. T. 2024, ApJ, 975, 201 [Google Scholar]
  73. Fluke, C. J., & Jacobs, C. 2020, WIREs Data Mining Knowl. Discov., 10, e1349 [Google Scholar]
  74. Foreman-Mackey, D. 2016, J. Open Source Softw., 1, 24 [NASA ADS] [CrossRef] [Google Scholar]
  75. Fragile, P. C., Blaes, O. M., Anninos, P., & Salmonson, J. D. 2007, ApJ, 668, 417 [NASA ADS] [CrossRef] [Google Scholar]
  76. Fromm, C. M., Perucho, M., Mimica, P., & Ros, E. 2016, A&A, 588, A101 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  77. Fromm, C. M., Younsi, Z., Baczko, A., et al. 2019, A&A, 629, A4 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  78. Fromm, C. M., Cruz-Osorio, A., Mizuno, Y., et al. 2022, A&A, 660, A107 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  79. Gebhardt, K., Adams, J., Richstone, D., et al. 2011, ApJ, 729, 119 [Google Scholar]
  80. Genkin, M., & Engel, T. A. 2020, Nat. Mach. Intell., 2, 674 [Google Scholar]
  81. Gheller, C., & Vazza, F. 2022, MNRAS, 509, 990 [Google Scholar]
  82. Glorot, X., & Bengio, Y. 2010, Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 9, 249 [Google Scholar]
  83. Goddi, C., Martí-Vidal, I., Messias, H., et al. 2021, ApJ, 910, L14 [NASA ADS] [CrossRef] [Google Scholar]
  84. Goff, S. A., Vaughn, M., McKay, S., et al. 2011, Frontiers in Plant Science, 2, 34 [Google Scholar]
  85. Goyal, P., Dollár, P., Girshick, R., et al. 2017, arXiv e-prints [arXiv:1706.02677] [Google Scholar]
  86. Gralla, S. E. 2021, Phys. Rev. D, 103, 024023 [NASA ADS] [CrossRef] [Google Scholar]
  87. Graves, A. 2011, Practical Variational Inference for Neural Networks, 24 (Curran Associates, Inc.) [Google Scholar]
  88. GRAVITY Collaboration (Abuter, R., et al.) 2018, A&A, 615, L15 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  89. GRAVITY Collaboration (Abuter, R., et al.) 2019, A&A, 625, L10 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  90. GRAVITY Collaboration (Abuter, R., et al.) 2020, A&A, 636, L5 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  91. GRAVITY Collaboration (Abuter, R., et al.) 2022, A&A, 657, L12 [NASA ADS] [CrossRef] [Google Scholar]
  92. Hada, K., Doi, A., Kino, M., et al. 2011, Nature, 477, 185 [NASA ADS] [CrossRef] [Google Scholar]
  93. Hahnloser, R. H. R., Sarpeshkar, R., Mahowald, M. A., Douglas, R. J., & Seung, H. S. 2000, Nature, 405, 947 [NASA ADS] [CrossRef] [Google Scholar]
  94. Hamaker, J. P., Bregman, J. D., & Sault, R. J. 1996, A&AS, 117, 137 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  95. He, K., Zhang, X., Ren, S., & Sun, J. 2015, arXiv e-prints [arXiv:1512.03385] [Google Scholar]
  96. He, T., Zhang, Z., Zhang, H., et al. 2018, arXiv e-prints [arXiv:1812.01187] [Google Scholar]
  97. Hinton, G. E., & van Camp, D. 1993, Keeping the Neural Networks Simple by Minimizing the Description Length of the Weights, COLT ‘93 (New York, NY, USA: Association for Computing Machinery), 5 [Google Scholar]
  98. Hinton, G. E., Srivastava, N., Krizhevsky, A., Sutskever, I., & Salakhutdinov, R. R. 2012, arXiv e-prints [arXiv:1207.0580] [Google Scholar]
  99. Huertas-Company, M., & Lanusse, F. 2023, PASA, 40, e001 [NASA ADS] [CrossRef] [Google Scholar]
  100. Janssen, M., Blackburn, L., Issaoun, S., et al. 2019a, EHT Memo Series, 2019-CE-01, https://eventhorizontelescope.org/for-astronomers/memos [Google Scholar]
  101. Janssen, M., Goddi, C., van Bemmel, I. M., et al. 2019b, A&A, 626, A75 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  102. Janssen, M., Radcliffe, J. F., & Wagner, J. 2022, Universe, 8, 527 [NASA ADS] [CrossRef] [Google Scholar]
  103. Janssen, M., Chan, C.-k., Davelaar, J., et al. 2025a, A&A, 698, A60 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  104. Janssen, M., Chan, C.-k., Davelaar, J., et al. 2025b, A&A, 698, A62 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  105. Jennison, R. C. 1958, MNRAS, 118, 276 [Google Scholar]
  106. Johnson, M. D., Lupsasca, A., Strominger, A., et al. 2020, Sci. Adv., 6, eaaz1310 [Google Scholar]
  107. Johnson, M. D., Akiyama, K., Blackburn, L., et al. 2023, Galaxies, 11, 61 [NASA ADS] [CrossRef] [Google Scholar]
  108. Kawaguchi, K. 2016, arXiv e-prints [arXiv:1605.07110] [Google Scholar]
  109. Kerr, R. P. 1963, Phys. Rev. Lett., 11, 237 [Google Scholar]
  110. Kim, J., Marrone, D. P., Chan, C.-K., et al. 2016, ApJ, 832, 156 [Google Scholar]
  111. Kocherlakota, P., Rezzolla, L., Falcke, H., et al. 2021, Phys. Rev. D, 103, 104047 [NASA ADS] [CrossRef] [Google Scholar]
  112. Kong, L., Huang, T., Zhu, Y., & Yu, S. 2020, Big Data in Astronomy: Scientific Data Processing for Advanced Radio Telescopes (Elsevier) [Google Scholar]
  113. Kullback, S., & Leibler, R. A. 1951, Ann. Math. Statist., 22, 79 [Google Scholar]
  114. Kurth, T., Treichler, S., Romero, J., et al. 2018, arXiv e-prints [arXiv:1810.01993] [Google Scholar]
  115. Kurtzer, G. M., Sochat, V., & Bauer, M. W. 2017, PLoS ONE, 12, e0177459 [CrossRef] [PubMed] [Google Scholar]
  116. Lai, S., Thyagarajan, N., Wong, O. I., Diakogiannis, F., & Hoefs, L. 2025, MNRAS, 536, 446 [Google Scholar]
  117. LeCun, Y., Boser, B., Denker, J. S., et al. 1989, Neural Comput., 1, 541 [Google Scholar]
  118. LeCun, Y., Bottou, L., Bengio, Y., & Haffner, P. 1998, Proc. IEEE, 86, 2278 [Google Scholar]
  119. LeCun, Y., Bengio, Y., & Hinton, G. 2015, Nature, 521, 436 [Google Scholar]
  120. Lei Ba, J., Kiros, J. R., & Hinton, G. E. 2016, arXiv e-prints [arXiv:1607.06450] [Google Scholar]
  121. Levis, A., Chael, A. A., Bouman, K. L., Wielgus, M., & Srinivasan, P. P. 2024, Nat. Astron., 8, 765 [Google Scholar]
  122. Liska, M., Tchekhovskoy, A., Ingram, A., & van der Klis, M. 2019, MNRAS, 487, 550 [CrossRef] [Google Scholar]
  123. Lockhart, W., & Gralla, S. E. 2022, MNRAS, 509, 3643 [Google Scholar]
  124. Loshchilov, I., & Hutter, F. 2016, arXiv e-prints [arXiv:1608.03983] [Google Scholar]
  125. MacDonald, N. R., & Nishikawa, K. I. 2021, A&A, 653, A10 [Google Scholar]
  126. MacKay, D. J. C. 1992, Neural Computat., 4, 448 [Google Scholar]
  127. Marshall, H. L., Miller, B. P., Davis, D. S., et al. 2002, ApJ, 564, 683 [Google Scholar]
  128. McKinney, J. C. 2006, MNRAS, 368, 1561 [NASA ADS] [CrossRef] [Google Scholar]
  129. McKinney, J. C., Tchekhovskoy, A., & Blandford, R. D. 2012, MNRAS, 423, 3083 [Google Scholar]
  130. McKinney, J. C., Tchekhovskoy, A., & Blandford, R. D. 2013, Science, 339, 49 [NASA ADS] [CrossRef] [Google Scholar]
  131. McKinnon, M., Beasley, A., Murphy, E., et al. 2019, in BAAS, 51, 81 [Google Scholar]
  132. Medeiros, L., Psaltis, D., Lauer, T. R., & Özel, F. 2023a, ApJ, 943, 144 [Google Scholar]
  133. Medeiros, L., Psaltis, D., Lauer, T. R., & Özel, F. 2023b, ApJ, 947, L7 [NASA ADS] [CrossRef] [Google Scholar]
  134. Merchant, N., Lyons, E., Goff, S., et al. 2016, PLOS Biology, 14, e1002342 [Google Scholar]
  135. Mertens, F., Lobanov, A. P., Walker, R. C., & Hardee, P. E. 2016, A&A, 595, A54 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  136. Mizuno, Y., Fromm, C. M., Younsi, Z., et al. 2021, MNRAS, 506, 741 [NASA ADS] [CrossRef] [Google Scholar]
  137. Mohan, A., Protopapas, P., Kunnumkai, K., et al. 2024, MNRAS, 527, 10965 [Google Scholar]
  138. Morales Teixeira, D., Fragile, P. C., Zhuravlev, V. V., & Ivanov, P. B. 2014, ApJ, 796, 103 [Google Scholar]
  139. Moriwaki, K., Nishimichi, T., & Yoshida, N. 2023, Rep. Progr. Phys., 86, 076901 [Google Scholar]
  140. Morningstar, W. R., Hezaveh, Y. D., Perreault Levasseur, L., et al. 2018, arXiv e-prints [arXiv:1808.00011] [Google Scholar]
  141. Morningstar, W. R., Perreault Levasseur, L., Hezaveh, Y. D., et al. 2019, ApJ, 883, 14 [Google Scholar]
  142. Mościbrodzka, M. 2025, ApJ, 981, 145 [Google Scholar]
  143. Mościbrodzka, M., Gammie, C. F., Dolence, J. C., & Shiokawa, H. 2011, ApJ, 735, 9 [CrossRef] [Google Scholar]
  144. Müller, H., & Lobanov, A. P. 2022, A&A, 666, A137 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  145. Müller, H., Mus, A., & Lobanov, A. 2023, A&A, 675, A60 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  146. Mus, A., & Martí-Vidal, I. 2024, MNRAS, 528, 5537 [NASA ADS] [CrossRef] [Google Scholar]
  147. Mus, A., Müller, H., & Lobanov, A. 2024a, A&A, 688, A100 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  148. Mus, A., Müller, H., Martí-Vidal, I., & Lobanov, A. 2024b, A&A, 684, A55 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  149. Narayan, R., SÄdowski, A., Penna, R. F., & Kulkarni, A. K. 2012, MNRAS, 426, 3241 [NASA ADS] [CrossRef] [Google Scholar]
  150. Narayan, R., Johnson, M. D., & Gammie, C. F. 2019, ApJ, 885, L33 [Google Scholar]
  151. Natarajan, I., Deane, R., van Bemmel, I., et al. 2020, MNRAS, 496, 801 [Google Scholar]
  152. Nathanail, A., Mpisketzis, V., Porth, O., Fromm, C. M., & Rezzolla, L. 2022, MNRAS, 513, 4267 [NASA ADS] [CrossRef] [Google Scholar]
  153. Olivares, H. R., Mościbrodzka, M. A., & Porth, O. 2023, A&A, 678, A141 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  154. Owen, F. N., Hardee, P. E., & Cornwell, T. J. 1989, ApJ, 340, 698 [NASA ADS] [CrossRef] [Google Scholar]
  155. Özel, F., Psaltis, D., & Younsi, Z. 2022, ApJ, 941, 88 [CrossRef] [Google Scholar]
  156. Palumbo, D. C. M., & Wong, G. N. 2022, ApJ, 929, 49 [Google Scholar]
  157. Palumbo, D. C. M., Wong, G. N., & Prather, B. S. 2020, ApJ, 894, 156 [Google Scholar]
  158. Palumbo, D. C. M., Gelles, Z., Tiede, P., et al. 2022, ApJ, 939, 107 [NASA ADS] [CrossRef] [Google Scholar]
  159. Paugnat, H., Lupsasca, A., Vincent, F. H., & Wielgus, M. 2022, A&A, 668, A11 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  160. Pearson, T. J., & Readhead, A. C. S. 1984, ARA&A, 22, 97 [Google Scholar]
  161. Pesce, D. W. 2021, AJ, 161, 178 [NASA ADS] [CrossRef] [Google Scholar]
  162. Popov, A. A., Strokov, V. N., & Surdyaev, A. A. 2021, Astron. Comput., 36, 100467 [Google Scholar]
  163. Pordes, R., Petravick, D., Kramer, B., et al. 2007, J. Phys. Conf. Ser., 78, 012057 [Google Scholar]
  164. Porth, O., Olivares, H., Mizuno, Y., et al. 2017, Computat. Astrophys. Cosmol., 4, 1 [Google Scholar]
  165. Prather, B., Wong, G., Dhruv, V., et al. 2021, J. Open Source Softw., 6, 3336 [Google Scholar]
  166. Psaltis, D., Medeiros, L., Christian, P., et al. 2020, Phys. Rev. Lett., 125, 141104 [Google Scholar]
  167. Psaltis, D., Özel, F., Medeiros, L., et al. 2022, ApJ, 928, 55 [Google Scholar]
  168. Qiu, R., Ricarte, A., Narayan, R., et al. 2023, MNRAS, 520, 4867 [Google Scholar]
  169. Ramachandran, P., Zoph, B., & Le, Q. V. 2017, arXiv e-prints [arXiv:1710.05941] [Google Scholar]
  170. Readhead, A. C. S., & Wilkinson, P. N. 1978, ApJ, 223, 25 [NASA ADS] [CrossRef] [Google Scholar]
  171. Ressler, S. M., Tchekhovskoy, A., Quataert, E., Chandra, M., & Gammie, C. F. 2015, MNRAS, 454, 1848 [Google Scholar]
  172. Ressler, S. M., Quataert, E., & Stone, J. M. 2018, MNRAS, 478, 3544 [NASA ADS] [CrossRef] [Google Scholar]
  173. Ricarte, A., Tiede, P., Emami, R., Tamar, A., & Natarajan, P. 2023, Galaxies, 11, 6 [Google Scholar]
  174. Ripperda, B., Bacchini, F., & Philippov, A. A. 2020, ApJ, 900, 100 [NASA ADS] [CrossRef] [Google Scholar]
  175. Ripperda, B., Porth, O., Sironi, L., & Keppens, R. 2019, MNRAS, 485, 299 [CrossRef] [Google Scholar]
  176. Ripperda, B., Liska, M., Chatterjee, K., et al. 2022, ApJ, 924, L32 [NASA ADS] [CrossRef] [Google Scholar]
  177. Roelofs, F., Janssen, M., Natarajan, I., et al. 2020, A&A, 636, A5 [EDP Sciences] [Google Scholar]
  178. Romein, J. W. 2021, A&A, 656, A52 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  179. Ryan, B. R., Ressler, S. M., Dolence, J. C., Gammie, C., & Quataert, E. 2018, ApJ, 864, 126 [CrossRef] [Google Scholar]
  180. Sądowski, A., Narayan, R., Tchekhovskoy, A., & Zhu, Y. 2013, MNRAS, 429, 3533 [CrossRef] [Google Scholar]
  181. Sądowski, A., Wielgus, M., Narayan, R., et al. 2017, MNRAS, 466, 705 [NASA ADS] [CrossRef] [Google Scholar]
  182. Salas, L. D. S., Liska, M. T. P., Markoff, S. B., et al. 2025, MNRAS, 538, 698 [Google Scholar]
  183. SaraerToosi, A., & Broderick, A. E. 2024, ApJ, 967, 140 [Google Scholar]
  184. Satapathy, K., Psaltis, D., Özel, F., et al. 2022, ApJ, 925, 13 [NASA ADS] [CrossRef] [Google Scholar]
  185. Schaeffer, R., Khona, M., Robertson, Z., et al. 2023, arXiv e-prints [arXiv:2303.14151] [Google Scholar]
  186. Schmidt, K., Geyer, F., Fröse, S., et al. 2022, A&A, 664, A134 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  187. Sergeev, A., & Del Balso, M. 2018, arXiv e-prints [arXiv:1802.05799] [Google Scholar]
  188. Sfiligoi, I., Bradley, D. C., Holzman, B., et al. 2009, in 2009 WRI World Congress on Computer Science and Information Engineering, 2, 428 [Google Scholar]
  189. Shatskiy, A. A., & Evgeniev, I. Y. 2019, Sov. J. Exp. Theor. Phys., 128, 592 [Google Scholar]
  190. Shcherbakov, R. V., & Baganoff, F. K. 2010, ApJ, 716, 504 [NASA ADS] [CrossRef] [Google Scholar]
  191. Smith, M. J., & Geach, J. E. 2023, Roy. Soc. Open Sci., 10, 221454 [Google Scholar]
  192. Sparks, W. B., Biretta, J. A., & Macchetto, F. 1996, ApJ, 473, 254 [NASA ADS] [CrossRef] [Google Scholar]
  193. Stokes, G. G. 1851, Trans. Camb. Philos. Soc., 9, 399 [Google Scholar]
  194. Sun, H., & Bouman, K. L. 2020, arXiv e-prints [arXiv:2010.14462] [Google Scholar]
  195. Sun, H., Dalca, A. V., & Bouman, K. L. 2020, arXiv e-prints [arXiv:2003.10424] [Google Scholar]
  196. Sun, H., Bouman, K. L., Tiede, P., et al. 2022, ApJ, 932, 99 [NASA ADS] [CrossRef] [Google Scholar]
  197. Thompson, A. R., Moran, J. M., & Swenson George W. J. 2017, Interferometry and Synthesis in Radio Astronomy, 3rd edn. (Springer) [Google Scholar]
  198. Thyagarajan, N., Hoefs, L., & Wong, O. I. 2024, RAS Tech. Instrum., 3, 437 [Google Scholar]
  199. Tiede, P. 2022, J. Open Source Softw., 7, 4457 [Google Scholar]
  200. Valentin Jospin, L., Buntine, W., Boussaid, F., Laga, H., & Bennamoun, M. 2020, ACM Comput. Surv., 1 [arXiv:2007.06823] [Google Scholar]
  201. van Cittert, P. H. 1934, Physica, 1, 201 [NASA ADS] [CrossRef] [Google Scholar]
  202. van der Gucht, J., Davelaar, J., Hendriks, L., et al. 2020, A&A, 636, A94 [EDP Sciences] [Google Scholar]
  203. VanderPlas, J., Connolly, A. J., Ivezic, Z., & Gray, A. 2012, in Proceedings of Conference on Intelligent Data Understanding (CIDU), 47 [Google Scholar]
  204. Vincent, F. H., Gralla, S. E., Lupsasca, A., & Wielgus, M. 2022, A&A, 667, A170 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  205. Walker, R. C., Hardee, P. E., Davies, F. B., Ly, C., & Junor, W. 2018, ApJ, 855, 128 [Google Scholar]
  206. Wan, L., Zeiler, M., Zhang, S., Le Cun, Y., & Fergus, R. 2013, Proceedings of the 30th International Conference on Machine Learning, 28, 1058 [Google Scholar]
  207. Wexler, J., Pushkarna, M., Bolukbasi, T., et al. 2019, arXiv e-prints [arXiv:1907.04135] [Google Scholar]
  208. White, C. J., Quataert, E., & Blaes, O. 2019, ApJ, 878, 51 [Google Scholar]
  209. Wielgus, M. 2021, Phys. Rev. D, 104, 124058 [NASA ADS] [CrossRef] [Google Scholar]
  210. Wielgus, M., Marchili, N., Martí-Vidal, I., et al. 2022, ApJ, 930, L19 [NASA ADS] [CrossRef] [Google Scholar]
  211. Witzel, G., Martinez, G., Willner, S. P., et al. 2021, ApJ, 917, 73 [NASA ADS] [CrossRef] [Google Scholar]
  212. Wong, G. N., & Gammie, C. F. 2022, ApJ, 937, 60 [Google Scholar]
  213. Wong, G. N., Prather, B. S., Dhruv, V., et al. 2022, ApJS, 259, 64 [NASA ADS] [CrossRef] [Google Scholar]
  214. Yao, P. Z., Dexter, J., Chen, A. Y., Ryan, B. R., & Wong, G. N. 2021, MNRAS, 507, 4864 [Google Scholar]
  215. Yao-Yu Lin, J., Wong, G. N., Prather, B. S., & Gammie, C. F. 2020, arXiv e-prints [arXiv:2007.00794] [Google Scholar]
  216. Yao-Yu Lin, J., Pesce, D. W., Wong, G. N., et al. 2021, arXiv e-prints [arXiv:2110.07185] [Google Scholar]
  217. Yfantis, A. I., Zhao, S., Gold, R., Mościbrodzka, M., & Broderick, A. E. 2024, MNRAS, 535, 3181 [Google Scholar]
  218. Yoon, D., Chatterjee, K., Markoff, S. B., et al. 2020, MNRAS, 499, 3178 [NASA ADS] [CrossRef] [Google Scholar]
  219. Yu, W., Romein, J. W., Dursi, L. J., et al. 2023, Galaxies, 11, 13 [Google Scholar]
  220. Zernike, F. 1938, Physica, 5, 785 [NASA ADS] [CrossRef] [Google Scholar]
  221. Zhao, S.-S., Huang, L., Lu, R.-S., & Shen, Z. 2023, MNRAS, 519, 340 [Google Scholar]

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