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The First Deep Learning all-sky List of Fermi-LAT Gamma-ray Sources
Aims: We develop a deep-learning-based pipeline to construct a list of γ-ray sources and to quantitatively assess the impact of background uncertainties on source detection and characterization. This work extends and enhances the existing AutoSource-ID algorithm, previously adopted on optical observ
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