Particle identification and analysis in the SciCRT using machine learning tools

R. Garcia,M. Anzorena,J.F. Valdés-Galicia,Y. Matsubara,T. Sako,E. Ortiz,A. Hurtado,R. Taylor,O. Musalem,L.X. González, Y. Itow, T. Kawabata,K. Munakata, C. Kato, W. Kihara,Y. Ko,S. Shibata,H. Takamaru,A. Oshima,T. Koi,H. Kojima,H. Tsuchiya,K. Watanabe,M. Kozai,Y. Nakamura

Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment（2021）

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摘要

Machine learning is a powerful tool used in many different areas, from image processing to space navigation and high-energy physics. In this paper we present a configuration of different artificial intelligent tools aimed at the extraction of features from data registered in the SciBar Cosmic Ray Telescope (SciCRT).

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关键词

Neural networks,Machine learning,Neutron spectrum unfolding,Pattern recognition,Cosmic rays

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