Open Access
Issue
A&A
Volume 709, May 2026
Article Number A215
Number of page(s) 14
Section Numerical methods and codes
DOI https://doi.org/10.1051/0004-6361/202658946
Published online 19 May 2026
  1. Abdo, A. A., Ackermann, M., Ajello, M., et al. 2009, Science, 325, 840 [Google Scholar]
  2. Abdo, A. A., Ajello, M., Allafort, A., et al. 2013, ApJS, 208, 17 [Google Scholar]
  3. Ajello, M., Atwood, W. B., Axelsson, M., et al. 2021, ApJS, 256, 12 [NASA ADS] [CrossRef] [Google Scholar]
  4. Allafort, A., Baldini, L., Ballet, J., et al. 2013, ApJ, 777, L2 [NASA ADS] [CrossRef] [Google Scholar]
  5. Allen, B., & Romano, J. D. 2025, Phys. Rev. Lett., 134, 031401 [Google Scholar]
  6. Applegate, J. H. 1992, ApJ, 385, 621 [Google Scholar]
  7. Applegate, J. H., & Patterson, J. 1987, ApJ, 322, L99 [NASA ADS] [CrossRef] [Google Scholar]
  8. Arzoumanian, Z., Fruchter, A. S., & Taylor, J. H. 1994, ApJ, 426, L85 [NASA ADS] [CrossRef] [Google Scholar]
  9. Atwood, W. B., Abdo, A. A., Ackermann, M., et al. 2009, ApJ, 697, 1071 [CrossRef] [Google Scholar]
  10. Balakrishnan, V., Freire, P. C. C., Ransom, S. M., et al. 2023, ApJ, 942, L35 [CrossRef] [Google Scholar]
  11. Belmonte Díaz, S., Thongmeearkom, T., Phosrisom, A., et al. 2025, MNRAS, 543, 3019 [Google Scholar]
  12. Bickel, P., Kleijn, B., & Rice, J. 2008, ApJ, 685, 384 [NASA ADS] [CrossRef] [Google Scholar]
  13. Bochenek, C., Ransom, S., & Demorest, P. 2015, ApJ, 813, L4 [NASA ADS] [Google Scholar]
  14. Bradbury, J., Frostig, R., Hawkins, P., et al. 2018, JAX: composable transformations of Python+NumPy programs [Google Scholar]
  15. Burgay, M., Nieder, L., Clark, C. J., et al. 2024, A&A, 691, A315 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  16. Cabezas, A., Corenflos, A., Lao, J., et al. 2024, arXiv e-prints [arXiv:2402.10797] [Google Scholar]
  17. Clark, C. J., Pletsch, H. J., Wu, J., et al. 2015, ApJ, 809, L2 [NASA ADS] [CrossRef] [Google Scholar]
  18. Clark, C. J., Nieder, L., Voisin, G., et al. 2021, MNRAS, 502, 915 [NASA ADS] [CrossRef] [Google Scholar]
  19. Clark, C. J., Di Mauro, M., Wu, J., et al. 2025, ApJ, 994, 149 [Google Scholar]
  20. Coles, W., Hobbs, G., Champion, D. J., Manchester, R. N., & Verbiest, J. P. W. 2011, MNRAS, 418, 561 [Google Scholar]
  21. Cook, S. R., Gelman, A., & Rubin, D. B. 2006, J. Computat. Graph. Statist., 15, 675 [Google Scholar]
  22. Corcoran, K. A., Ransom, S. M., Rosenthal, A. C., et al. 2026, ApJ, 998, 161 [Google Scholar]
  23. Crisostomi, M., van Haasteren, R., Meyers, P. M., & Vallisneri, M. 2025, arXiv e-prints [arXiv:2506.13866] [Google Scholar]
  24. Csató, L., & Opper, M. 2002, Neural Computat., 14, 641 [Google Scholar]
  25. Daemi, A., Kodamana, H., & Huang, B. 2019, J. Process Control, 81, 209 [Google Scholar]
  26. Deneva, J. S., Ray, P. S., Camilo, F., et al. 2016, ApJ, 823, 105 [Google Scholar]
  27. Edwards, R. T., Hobbs, G. B., & Manchester, R. N. 2006, MNRAS, 372, 1549 [Google Scholar]
  28. Ellis, J. A., Vallisneri, M., Taylor, S. R., & Baker, P. T. 2020, https://doi.org/10.5281/zenodo.4059815 [Google Scholar]
  29. Fiori, A., Razzano, M., Harding, A. K., et al. 2024, A&A, 685, A70 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  30. Foreman-Mackey, D., Hogg, D. W., Lang, D., & Goodman, J. 2013, PASP, 125, 306 [Google Scholar]
  31. Geman, S., & Geman, D. 1984, IEEE Trans. Pattern Anal. Mach. Intell., PAMI-6, 721 [Google Scholar]
  32. Guillemot, L., Johnson, T. J., Venter, C., et al. 2012, ApJ, 744, 33 [NASA ADS] [CrossRef] [Google Scholar]
  33. Gundersen, A., & Cornish, N. J. 2025, arXiv e-prints [arXiv:2510.12917] [Google Scholar]
  34. Hoffman, M. D., & Gelman, A. 2011, arXiv e-prints [arXiv:1111.4246] [Google Scholar]
  35. Iraci, F., Chalumeau, A., Tiburzi, C., et al. 2024, A&A, 692, A170 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  36. Kerr, M. 2011, ApJ, 732, 38 [NASA ADS] [CrossRef] [Google Scholar]
  37. Kerr, M., Ray, P. S., Johnston, S., Shannon, R. M., & Camilo, F. 2015, ApJ, 814, 128 [NASA ADS] [CrossRef] [Google Scholar]
  38. Larsen, B., Mingarelli, C. M. F., Hazboun, J. S., et al. 2024, ApJ, 972, 49 [Google Scholar]
  39. Lentati, L., Alexander, P., Hobson, M. P., et al. 2013, Phys. Rev. D, 87, 104021 [NASA ADS] [CrossRef] [Google Scholar]
  40. Lentati, L., Alexander, P., Hobson, M. P., et al. 2014, MNRAS, 437, 3004 [NASA ADS] [CrossRef] [Google Scholar]
  41. Lower, M. E., Karastergiou, A., Johnston, S., et al. 2025, MNRAS, 538, 3104 [Google Scholar]
  42. Luo, J., Ransom, S., Demorest, P., et al. 2021, ApJ, 911, 45 [NASA ADS] [CrossRef] [Google Scholar]
  43. Lyne, A., Hobbs, G., Kramer, M., Stairs, I., & Stappers, B. 2010, Science, 329, 408 [NASA ADS] [CrossRef] [Google Scholar]
  44. Neal, R. M. 2000, arXiv e-prints [arXiv:physics/0009028] [Google Scholar]
  45. Ng, C., Bailes, M., Bates, S. D., et al. 2014, MNRAS, 439, 1865 [Google Scholar]
  46. Nieder, L., Clark, C. J., Bassa, C. G., et al. 2019, ApJ, 883, 42 [NASA ADS] [CrossRef] [Google Scholar]
  47. Nieder, L., Clark, C. J., Kandel, D., et al. 2020, ApJ, 902, L46 [NASA ADS] [CrossRef] [Google Scholar]
  48. Nieder, L., Kerr, M., Clark, C. J., et al. 2022, ApJ, 931, L3 [NASA ADS] [CrossRef] [Google Scholar]
  49. Padmanabh, P. V., Ransom, S. M., Freire, P. C. C., et al. 2024, A&A, 686, A166 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  50. Panin, A. G., & Sokolova, E. V. 2025, A&A, 697, A178 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  51. Pletsch, H. J., & Clark, C. J. 2015, ApJ, 807, 18 [Google Scholar]
  52. Pletsch, H. J., Guillemot, L., Allen, B., et al. 2012a, ApJ, 755, L20 [Google Scholar]
  53. Pletsch, H. J., Guillemot, L., Allen, B., et al. 2012b, ApJ, 744, 105 [Google Scholar]
  54. Rasmussen, C. E., & Williams, C. K. I. 2005, Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) (The MIT Press) [Google Scholar]
  55. Ray, P. S., Kerr, M., Parent, D., et al. 2011, ApJS, 194, 17 [NASA ADS] [CrossRef] [Google Scholar]
  56. Ray, P. S., Ransom, S. M., Cheung, C. C., et al. 2013, ApJ, 763, L13 [NASA ADS] [CrossRef] [Google Scholar]
  57. Ray, P. S., Polisensky, E., Parkinson, P. S., et al. 2020, RNAAS, 4, 37 [Google Scholar]
  58. Ridolfi, A., Freire, P. C. C., Torne, P., et al. 2016, MNRAS, 462, 2918 [Google Scholar]
  59. Roberts, M. S. E. 2013, in IAU Symposium, 291, Neutron Stars and Pulsars: Challenges and Opportunities after 80 years, ed. J. van Leeuwen, 127 [Google Scholar]
  60. Rosenthal, A. C., Ransom, S. M., Corcoran, K. A., et al. 2025, ApJ, 982, 170 [Google Scholar]
  61. Seiferth, D., Chowdhary, G., Mühlegg, M., & Holzapfel, F. 2017, in 2017 American Control Conference (ACC), 3134 [Google Scholar]
  62. Shaifullah, G., Verbiest, J. P. W., Freire, P. C. C., et al. 2016, MNRAS, 462, 1029 [Google Scholar]
  63. Smith, D. A., Abdollahi, S., Ajello, M., et al. 2023, ApJ, 958, 191 [NASA ADS] [CrossRef] [Google Scholar]
  64. Susarla, S. C., Chalumeau, A., Tiburzi, C., et al. 2024, A&A, 692, A18 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  65. Susobhanan, A. 2025, ApJ, 980, 165 [Google Scholar]
  66. Susobhanan, A., Kaplan, D. L., Archibald, A. M., et al. 2024, ApJ, 971, 150 [Google Scholar]
  67. Takata, J., Wang, H. H., Lin, L. C. C., et al. 2020, ApJ, 890, 16 [NASA ADS] [CrossRef] [Google Scholar]
  68. Talts, S., Betancourt, M., Simpson, D., Vehtari, A., & Gelman, A. 2020, arXiv e-prints [arXiv:1804.06788] [Google Scholar]
  69. The Fermi-LAT Collaboration (Ajello, M., et al.) 2022, Science, 376, 521 [NASA ADS] [CrossRef] [Google Scholar]
  70. Thongmeearkom, T., Clark, C. J., Breton, R. P., et al. 2024, MNRAS, 530, 4676 [CrossRef] [Google Scholar]
  71. Valtolina, S., & van Haasteren, R. 2025, Phys. Rev. D, 112, 043046 [Google Scholar]
  72. Valtolina, S., Clark, C. J., van Haasteren, R., et al. 2026, Phys. Rev. D, 113, 063061 [Google Scholar]
  73. van Haasteren, R., & Vallisneri, M. 2014, Phys. Rev. D, 90, 104012 [NASA ADS] [CrossRef] [Google Scholar]
  74. van Haasteren, R., & Vallisneri, M. 2015, MNRAS, 446, 1170 [NASA ADS] [CrossRef] [Google Scholar]
  75. van Haasteren, R., Levin, Y., McDonald, P., & Lu, T. 2009, MNRAS, 395, 1005 [NASA ADS] [CrossRef] [Google Scholar]
  76. Voisin, G., Breton, R. P., & Summers, C. 2020a, MNRAS, 492, 1550 [Google Scholar]
  77. Voisin, G., Clark, C. J., Breton, R. P., et al. 2020b, MNRAS, 494, 4448 [Google Scholar]
  78. Wilk, M. B., & Gnanadesikan, R. 1968, Biometrika, 55, 1 [Google Scholar]

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