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Modeling Gamma-Ray Burst Spectra with Convolutional Neural Networks: Fast-cooling Synchrotron Emission in a Decaying Magnetic Field

  • Authors: Jia-Ming Chen, Ke-Rui Zhu, Shan Chang, Zhao-Yang Peng, Yong-Gang Zheng, Li Zhang

Jia-Ming Chen et al 2026 The Astrophysical Journal 1005 .

  • Provider: AAS Journals

Caption: Figure 4.

Validation statistics of the CNN spectral emulator on the independent test set. Left: distribution of logarithmic residuals, defined as ﹩{\mathrm{log}}_{10}({F}_{{\rm{CNN}}}/{F}_{{\rm{num}}})﹩, showing negligible systematic bias and a narrow scatter around zero. Right: distribution of relative errors, with a median of ∼2.73% and a 95th-percentile value of ∼11.22%.

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