2018/02/05 by Yu Wang, Wang, Y., Y. Aimuratov +9
Physics and Astronomy · #Astronomy and Astrophysical Research #FOS: Physical sciences #Gamma-ray bursts and supernovae #High Energy Astrophysical Phenomena (astro-ph.HE) #Scientific Research and Discoveries
paper · pdf · doi:10.48550/arxiv.1802.01693
openalex publication_date 2018/02/05 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The statistics of X-ray flares in the afterglow of gamma-ray bursts (GRBs)\nhave been studied extensively without considering the possible different\norigins of each flare. By satisfying six observational criteria, we find a\nsample composed of 16 long GRBs observed by \Swift satellite may\nshare a same origin. By applying the Markov chain Monte Carlo iteration and the\nmachine learning algorithms (locally weighted regression and Gaussian process\nregression), impressively, the flares in these GRBs show strong correlations\nwith the energy released in the prompt emission. These correlations were never\ndiscovered in previous papers, and they could not be well explained by previous\nmodels. These correlations imply that the prompt emission and the X-ray flare\nare not independent, they may be originated following a same sequence. The new\nTHESUS satellite will provide us a larger sample and more detailed spectra to\nrefine the results we obtained in this article.\n