24 citations · 39 across the 3 of their papers we have counts for
3 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…
astro-ph.CO2012★ 24 cited
Characterization of the distribution of the Llyαemitters in the 53W002 field at z = 2.4
Ken Mawatari, Toru Yamada, Yuki Nakamura +2
We present the results of our wide-field narrow band imaging of the field around the radio galaxy 53W002 at z = 2.390 with Subaru/Suprime-Cam. A custom made filter NB413 centered a…