15 citations · 15 across the 1 of their papers we have counts for
2 papers
astro-ph.HE2021
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…
astro-ph.HE2021★ 15 cited
Origin of Galactic Spurs: New Insight from Radio/X-ray All-sky Maps
Jun Kataoka, Marino Yamamoto, Yuki Nakamura +5
In this study, we analyze giant Galactic spurs seen in both radio and X-ray all-sky maps to reveal their origins. We discuss two types of giant spurs: one is the brightest diffuse…