PoS - Proceedings of Science
Volume 444 - 38th International Cosmic Ray Conference (ICRC2023) - Cosmic-Ray Physics (Direct, CRD)
Recognitions of cosmic ray nuclear tracks in the GRAINE2018 emulsion films with machine learning approach
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  on behalf of the GRAINE Collaboration
Full text: pdf
Pre-published on: July 25, 2023
Published on: September 27, 2024
Abstract
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.
DOI: https://doi.org/10.22323/1.444.0125
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