Development of Machine Learning-Assisted Spectra Analyzer for the NEWCUT Muon Spectrometer
Abstract
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.

This work is licensed under a Creative Commons Attribution 4.0 International License.
Journal of Advanced Instrumentation in Science (JAIS) is an open access journal published by Andromeda Publishing and Education Services. The articles in JAIS are distributed according to the terms of the creative commons license CC-BY 4.0. Under the terms of this license, copyright is retained by the author while use, distribution and reproduction in any medium are permitted provided proper credit is given to original authors and sources.
Terms of Submission
By submitting an article for publication in JAIS, the submitting author asserts that:
1. The article presents original contributions by the author(s) which have not been published previously in a peer-reviewed medium and are not subject to copyright protection.
2. The co-authors of the article, if any, as well as any institution whose approval is required, agree to the publication of the article in JAIS.