Machine learning application to Fermi-LAT data: sharpening all-sky map and emphasizing variable sources

Shogo Sato, Jun Kataoka, Soichiro Ito +6

A novel application of machine-learning (ML) based image processing algorithms is proposed to analyze an all-sky map (ASM) obtained using the Fermi Gamma-ray Space Telescope. An at…