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Estimating the peak energy of Swift gamma-ray bursts using supervised machine learning

Gamma-ray bursts (GRBs) are among the most energetic explosive phenomena in the Universe, and their peak energy (Ep) is a key physical quantity for understanding the prompt emission mechanism. However, due to the limited energy coverage of the Swift satellite, a large fraction of Swift GRBs lack rel...

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Bibliografische Detailangaben
Hauptverfasser: Sun Wan-Peng, Zhu Si-Yuan, Ma Da-Ling, Zhang Fu-Wen
Format: Artigo
Sprache:Inglês
Veröffentlicht: EDP Sciences 2026-04-01
Schriftenreihe:Astronomy & Astrophysics
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Online-Zugang:https://www.aanda.org/articles/aa/full_html/2026/04/aa58857-26/aa58857-26.html
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