{"title":"Determining the Multiplicities of Muons in DECOR Events by Means of Deep Machine Learning","authors":"E. A. Miroshnichenko, V. S. Vorobev","doi":"10.1134/S1063778824100326","DOIUrl":null,"url":null,"abstract":"<p>The DECOR coordinate-tracking detector is designed to register charged cosmic ray particles in wide zenith angles. Measurements by the installation are currently analyzed manually, affecting its performance. The use of deep machine learning allows automated processing and larger samples of processed data. The artificial neural network (ANN) architectures considered in this work have displayed high accuracy in counting the multiplicity of muons in data from the DECOR facility. Estimates are given of ANN performance for events with different muon multiplicities. The accuracy is 1 track for 5–6 particles and 7 tracks for more than 100 particles.</p>","PeriodicalId":728,"journal":{"name":"Physics of Atomic Nuclei","volume":"87 12","pages":"1830 - 1835"},"PeriodicalIF":0.3000,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physics of Atomic Nuclei","FirstCategoryId":"101","ListUrlMain":"https://link.springer.com/article/10.1134/S1063778824100326","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHYSICS, NUCLEAR","Score":null,"Total":0}
引用次数: 0
Abstract
The DECOR coordinate-tracking detector is designed to register charged cosmic ray particles in wide zenith angles. Measurements by the installation are currently analyzed manually, affecting its performance. The use of deep machine learning allows automated processing and larger samples of processed data. The artificial neural network (ANN) architectures considered in this work have displayed high accuracy in counting the multiplicity of muons in data from the DECOR facility. Estimates are given of ANN performance for events with different muon multiplicities. The accuracy is 1 track for 5–6 particles and 7 tracks for more than 100 particles.
期刊介绍：
Physics of Atomic Nuclei is a journal that covers experimental and theoretical studies of nuclear physics: nuclear structure, spectra, and properties; radiation, fission, and nuclear reactions induced by photons, leptons, hadrons, and nuclei; fundamental interactions and symmetries; hadrons (with light, strange, charm, and bottom quarks); particle collisions at high and superhigh energies; gauge and unified quantum field theories, quark models, supersymmetry and supergravity, astrophysics and cosmology.
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