The intensity-tracking pattern in GRB prompt spectra divides into three subclasses: aligned peaks (Type I), Ep before flux (Type II, dominant), and Ep after flux (Type III).
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3 Pith papers cite this work. Polarity classification is still indexing.
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astro-ph.HE 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
CNN emulator for decaying magnetic field fast-cooling synchrotron spectra is trained on synthetic data and used in Bayesian fits to GRB 231020A, favoring the decaying-field model over the standard version.
Spectral width increases with time in GRB 220426A and GRB 230812B, challenging single-zone emission models and supporting multi-zone prompt emission.
citing papers explorer
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Three Subclasses of the Intensity-tracking Pattern in Gamma-Ray Burst Spectral Evolution
The intensity-tracking pattern in GRB prompt spectra divides into three subclasses: aligned peaks (Type I), Ep before flux (Type II, dominant), and Ep after flux (Type III).
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Modeling Gamma-Ray Burst Spectra with Convolutional Neural Networks: Fast-Cooling Synchrotron Emission in a Decaying Magnetic Field
CNN emulator for decaying magnetic field fast-cooling synchrotron spectra is trained on synthetic data and used in Bayesian fits to GRB 231020A, favoring the decaying-field model over the standard version.
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Are Single-Zone Emission models Sufficient to Explain GRB 220426A and GRB 230812B?
Spectral width increases with time in GRB 220426A and GRB 230812B, challenging single-zone emission models and supporting multi-zone prompt emission.