PoS - Proceedings of Science
Volume 444 - 38th International Cosmic Ray Conference (ICRC2023) - Solar & Heliospheric Physics (SH)
Data mining of cosmic-ray anisotropy observed with the Global Muon Detector Network
M. Kozai*, Y. Hayashi, C. Kato, K. Munakata, Y. Masuda, K. Iwai, M. Rockenbach, A. Dal Lago, R. R. S. Mendonca, E. Echer, J. V. Bageston, C. R. Braga, H. K. Al Jassar, M. M. Sharma, M. L. Duldig, J. E. Humble, A. Kadokura, R. Kataoka, S. Miyake, I. Sabbah, P.S. Mangeard, T. Kuwabara and P. Evenson
Full text: pdf
Pre-published on: August 18, 2023
Published on: —
Abstract
Ground-based muon detectors are sensitive to anisotropies of cosmic rays at approximately 50 GeV and have been operated with great stability for over 10 years. The anisotropy is controlled by the space environment in various time scales and is an attractive target of data-driven approaches. We report on unsupervised machine-learning of anisotropy data accumulated by the Global Muon Detector Network (GMDN). It is expected to provide a comprehensive and statistical picture of
cosmic-ray anisotropies free from biases such as data selections relying on a visual inspection.
DOI: https://doi.org/10.22323/1.444.1279
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