論文

基本情報

氏名 伊代野 淳
氏名(カナ) イヨノ アツシ
氏名(英語) Iyono Atsushi
所属 理学部 基礎理学科
職名 教授
researchmap研究者コード 1000229037
researchmap機関 岡山理科大学

題名

Recognitions of cosmic ray nuclear tracks in the GRAINE2018 emulsion films with machine learning approach

単著・共著の別

共著

著者

A. Iyono, S. Akita, Y. Isayama, S. Yamamoto, F. Murakami, H. Rokujo,T. Nakano, S. Aoki, S. Takahashi, K. Kodama, S. Nagahara, M. Oda, T. Kato, K. Okamoto, M. Yamashita, S. Yoneno, M. Nakamura, O. Sato, K. Sugimura, Y. Nakamura, T. Nakamura, H. Minami, K. Namazawa and  on behalf of the GRAINE Collaboration

概要

The GRAINE projects are going to perform the balloon flight with high angular resolution imaging technology by nuclear emulsion films, in April, 2023 at Alice Springs, Australia to explore the nature of gamma-ray emission of high energy stellar object such as Vela pulsar and the galactic center of milky way. The tracks of cosmic ray nuclei have already registered in the nuclear emulsion films exposed in the previous balloon flight of the GRAINE2018 project carried out at the Australia. The collection factor of cosmic ray nuclei in GRAINE2023 flight could be about 12 times larger than that of the GRAINE2018. We have been developing the image analysis application for track recognition of cosmic ray nuclei with a machine learning technology for the nuclear emulsion films. We are going to report the status of our approaches.

発表雑誌等の名称

Proceedeings of Conference

出版者

POS

Vol. 444

125

開始ページ

1

終了ページ

8

発行又は発表の年月

2023/07

査読の有無

無し

招待の有無

無し

記述言語

英語

掲載種別

研究論文(国際会議プロシーディングス)

ISSN

ID:DOI

DOI: https://doi.org/10.22323/1.444.0125

ID:NAID(CiNiiのID)

ID:PMID

JGlobalID

arXiv ID

ORCIDのPut Code

DBLP ID