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Home All issues Volume 701 (September 2025) A&A, 701 (2025) A109 References
Open Access
Issue
A&A
Volume 701, September 2025
Article Number A109
Number of page(s) 8
Section Catalogs and data
DOI https://doi.org/10.1051/0004-6361/202555059
Published online 05 September 2025
  1. Ahumada, T., Singer, L. P., Anand, S., et al. 2021, Nat. Astron., 5, 917 [NASA ADS] [CrossRef] [Google Scholar]
  2. Amati, L. 2006, MNRAS, 372, 233 [Google Scholar]
  3. Atteia, J.-L., Bouchet, L., Dezalay, J.-P., et al. 2025, ApJ, 980, 241 [Google Scholar]
  4. Beirlant, J., Goegebeur, Y., Segers, J., & Teugels, J. 2004, Statistics of Extremes: Theory and Applications (Wiley), 522 [Google Scholar]
  5. Bezanson, J., Edelman, A., Karpinski, S., & Shah, V. B. 2017, SIAM Rev., 59, 65 [Google Scholar]
  6. Bhat, P. N., Meegan, C. A., von Kienlin, A., et al. 2016, VizieR On-line Data Catalog: J/ApJS/223/28 [Google Scholar]
  7. Bloom, J. S. 2022, RNAAS, 6, 220 [Google Scholar]
  8. Briel, M. M., Fragos, T., Salafia, O. S., et al. 2025, arXiv e-prints, [arXiv:2502.09187] [Google Scholar]
  9. Briggs, M. S., Paciesas, W. S., Pendleton, G. N., et al. 1996, ApJ, 459, 40 [NASA ADS] [CrossRef] [Google Scholar]
  10. Brooks, S., Gelman, A., Jones, G., & Meng, X.-L. 2011, Handbook of Markov chain Monte Carlo (CRC Press) [Google Scholar]
  11. Burns, E., Svinkin, D., Fenimore, E., et al. 2023, ApJ, 946, L31 [NASA ADS] [CrossRef] [Google Scholar]
  12. Coles, S. 2001, An Introduction to Statistical Modeling of Extreme Values, Springer Series in Statistics (London: Springer-Verlag) [Google Scholar]
  13. Dainotti, M. G., Lenart, A. L., Chraya, A., et al. 2023, MNRAS, 518, 2201 [Google Scholar]
  14. Danisch, S., & Krumbiegel, J. 2021, J. Open Source Softw., 6, 3349 [NASA ADS] [CrossRef] [Google Scholar]
  15. Datseris, G., Isensee, J., Pech, S., & Gál, T. 2020, J. Open Source Softw., 5, 2673 [NASA ADS] [CrossRef] [Google Scholar]
  16. Dichiara, S., Tsang, D., Troja, E., et al. 2023, ApJ, 954, L29 [NASA ADS] [CrossRef] [Google Scholar]
  17. Fenimore, E. E., Epstein, R. I., Ho, C., et al. 1993, Nature, 366, 40 [Google Scholar]
  18. Finke, J. D., & Razzaque, S. 2024, ApJ, 975, 70 [Google Scholar]
  19. Fischer, H. 2011, A History of the Central Limit Theorem: From Classical to Modern Probability Theory (New York, NY: Springer New York) [Google Scholar]
  20. Frederiks, D., Svinkin, D., Lysenko, A. L., et al. 2023, ApJ, 949, L7 [NASA ADS] [CrossRef] [Google Scholar]
  21. Galanti, G., Nava, L., Roncadelli, M., Tavecchio, F., & Bonnoli, G. 2024, arXiv e-prints [arXiv:2412.21175] [Google Scholar]
  22. Galanti, G., Roncadelli, M., Bonnoli, G., Nava, L., & Tavecchio, F. 2025, arXiv e-prints [arXiv:2502.03453] [Google Scholar]
  23. Ghirlanda, G., Nava, L., Ghisellini, G., et al. 2012, MNRAS, 420, 483 [NASA ADS] [CrossRef] [Google Scholar]
  24. Goldstein, A., Preece, R. D., Mallozzi, R. S., et al. 2013, ApJS, 208, 21 [Google Scholar]
  25. Gondhalekar, Y., Feigelson, E. D., Caceres, G. A., Montalto, M., & Saha, S. 2023, ApJ, 959, L16 [Google Scholar]
  26. Gruber, D., Goldstein, A., Weller von Ahlefeld, V., et al. 2014, ApJS, 211, 12 [Google Scholar]
  27. Heather, C., Chantavat, T., Chongchitnan, S., & Silk, J. 2024, MNRAS, 534, 173 [Google Scholar]
  28. Hoffman, M. D., & Gelman, A. 2014, J. Mach. Learn. Res., 15, 1593 [Google Scholar]
  29. Jalbert, J., Farmer, M., Gobeil, G., & Roy, P. 2024, J. Statist. Softw., 109, 1 [Google Scholar]
  30. Kaneko, Y., Preece, R. D., Briggs, M. S., et al. 2006, ApJS, 166, 298 [CrossRef] [Google Scholar]
  31. Klebesadel, R. W., Strong, I. B., & Olson, R. A. 1973, ApJ, 182, L85 [NASA ADS] [CrossRef] [Google Scholar]
  32. Kouveliotou, C., Meegan, C. A., Fishman, G. J., et al. 1993, ApJ, 413, L101 [NASA ADS] [CrossRef] [Google Scholar]
  33. Lan, L., Gao, H., Li, A., et al. 2023, ApJ, 949, L4 [Google Scholar]
  34. Lesage, S., Veres, P., Briggs, M. S., et al. 2023, ApJ, 952, L42 [NASA ADS] [CrossRef] [Google Scholar]
  35. Levan, A. J., Tanvir, N. R., Starling, R. L. C., et al. 2014, ApJ, 781, 13 [Google Scholar]
  36. Levan, A. J., Gompertz, B. P., Salafia, O. S., et al. 2024, Nature, 626, 737 [NASA ADS] [CrossRef] [Google Scholar]
  37. Malesani, D. B., Levan, A. J., Izzo, L., et al. 2023, arXiv e-prints, [arXiv:2302.07891] [Google Scholar]
  38. Navia, C., Oliveira, M., Felicio, B., & Nepomuceno, A. 2024, arXiv e-prints, [arXiv:2410.18131] [Google Scholar]
  39. Northrop, P. J., & Attalides, N. 2016, Statistica Sinica, 26, 721 [Google Scholar]
  40. O’Connor, B., Troja, E., Ryan, G., et al. 2023, Sci. Adv., 9, eadi1405 [Google Scholar]
  41. Poolakkil, S., Preece, R., Fletcher, C., et al. 2021, ApJ, 913, 60 [NASA ADS] [CrossRef] [Google Scholar]
  42. Qin, Y., Liang, E.-W., Liang, Y.-F., et al. 2013, ApJ, 763, 15 [NASA ADS] [CrossRef] [Google Scholar]
  43. Repp, A., & Szapudi, I. 2018, MNRAS, 473, 3598 [NASA ADS] [CrossRef] [Google Scholar]
  44. Salvaterra, R., Campana, S., Vergani, S. D., et al. 2012, ApJ, 749, 68 [NASA ADS] [CrossRef] [Google Scholar]
  45. Süveges, M. 2014, MNRAS, 440, 2099 [CrossRef] [Google Scholar]
  46. Thompson, W. 2023, PairPlots.jl Beautiful and flexible visualizations of high dimensional data, https://sefffal.github.io/PairPlots.jl/dev [Google Scholar]
  47. Tsvetkova, A., Frederiks, D., Golenetskii, S., et al. 2017, ApJ, 850, 161 [NASA ADS] [CrossRef] [Google Scholar]
  48. von Kienlin, A., Meegan, C. A., Paciesas, W. S., et al. 2014, ApJS, 211, 13 [Google Scholar]
  49. von Kienlin, A., Meegan, C. A., Paciesas, W. S., et al. 2020, ApJ, 893, 46 [Google Scholar]
  50. Waizmann, J. C., Ettori, S., & Moscardini, L. 2012, MNRAS, 422, 3554 [Google Scholar]
  51. Williams, M. A., Kennea, J. A., Dichiara, S., et al. 2023, ApJ, 946, L24 [NASA ADS] [CrossRef] [Google Scholar]
  52. Yang, J., Ai, S., Zhang, B.-B., et al. 2022, Nature, 612, 232 [NASA ADS] [CrossRef] [Google Scholar]
  53. Yang, Y.-H., Troja, E., O’Connor, B., et al. 2024, Nature, 626, 742 [NASA ADS] [CrossRef] [Google Scholar]
  54. Yi, S. X., Wang, C. W., Shao, X., et al. 2025, ApJ, 985, 239 [Google Scholar]
  55. Yonetoku, D., Murakami, T., Nakamura, T., et al. 2004, ApJ, 609, 935 [Google Scholar]
  56. Zhang, B. 2018, The Physics of Gamma-Ray Bursts (Cambridge University Press) [Google Scholar]
  57. Zhang, B. B., Liu, Z. K., Peng, Z. K., et al. 2021, Nat. Astron., 5, 911 [CrossRef] [Google Scholar]
  58. Zhang, R., Chen, Y.-Q., Zeng, S.-G., et al. 2024, J. Astrophys. Astron., 45, 14 [Google Scholar]

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