Development of Machine Learning-Assisted Spectra Analyzer for the NEWCUT Muon Spectrometer
The precise measurement of low-energy muon spectra is required to improve muography of small-sized objects. The NEWCUT spectrometer is a 6-meter-length, rotatable, Multiwire Proportional-Chamber-based spectrometer that is developed for the measurement of the low-energy spectra of cosmic-ray muons up to a few GeV between vertical and horizontal directions. The spectrometer consists of a consecutive series of nineteen detectors with a positional resolution of approx. 3.5 mm each and lead plates. A neural network-assisted muon spectra analyzer was implemented and trained using GEANT4 simulated data. The energydependent relative differences between the simulated and reconstructed muons suggest that the actual
experimental arrangement can accurately measure the spectra up to an energy of 6 GeV.
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