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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 5.

Comparison between the CNN-emulated photon spectra and the corresponding numerical-model spectra on the fixed Fermi/GBM energy grids. The left and right columns show the NaI and BGO bands, respectively, for three representative epochs (t = 1.0,  3.0,  and 5.0 s; colors). The upper panels present N(E) as a function of the energy, while the lower panels show the logarithmic residuals (in dex) between the emulator prediction and the numerical reference. Solid curves and open circles denote the numerical-model spectra and the CNN-emulated photon spectra, respectively.

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