A machine learning approach for mass composition analysis with TALE-SD data
نویسندگان
چکیده
The TALE experiment is a Telescope Array Low-energy Extension constructed to observe cosmic rays with energies down 10 16.5 clarify the origin of second knee and energy galactic extragalactic CRs transition. consists high-elevation fluorescence detectors 80 scintillation counters in an area 21 km 2 . key data interpretation mass composition rays, we report on machine learning approach analysis that utilizes waveform counters.
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ژورنال
عنوان ژورنال: Epj Web of Conferences
سال: 2023
ISSN: ['2101-6275', '2100-014X']
DOI: https://doi.org/10.1051/epjconf/202328302011