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Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)
With limited statistics and spatial resolution of current detectors, accurately localizing and separating -ray point sources from the dominating interstellar emission in the GeV energy range is challenging. Motivated by the challenges of the traditional methods used for the -ray source detection, here we demonstrate the application of deep learning based algorithms to automatically detect and classify point sources, which can be applied directly to the binned Fermi-LAT data and potentially bedoi:10.22323/1.395.0663 fatcat:h4g4dyzqbre7hcp2jr44zr4dwm