Gamma spectral analysis by artificial neural network coupled with Monte Carlo simulations

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dc.authoridSahiner, Huseyin/0000-0002-3191-1590
dc.contributor.authorSahiner, Huseyin
dc.contributor.authorLiu, Xin
dc.date.accessioned2025-03-23T19:39:12Z
dc.date.available2025-03-23T19:39:12Z
dc.date.issued2020
dc.departmentSinop Üniversitesi
dc.description.abstractNeutron activation analysis has been widely used for quantitative analysis. It can quantify elements in parts per million or billion. Artificial neural network is an attractive technique to analyze complex gamma spectra obtained from neutron activation. This study offers an improved methodology to analyze neutron activation gamma spectra using an artificial neural network. The methodology was demonstrated by quantifying five trace elements (Br, Na, Zn, K, Au) in common kidney stones. First, Monte Carlo simulations were used to create a large training data set. Then, an artificial neural network was employed for chemical elements identification analysis. For quantitative analysis, a Levenberg-Marquardt algorithm with 5 - 23 - 5 structure artificial neural network was used. The artificial neural network for analysis of simulated gamma spectra resulted in estimated element concentrations. The differences between true and estimated concentrations are 1.8% for Br, 3.4% for Na, 5.4% for Zn, 2.8% for K, and 1.6% for Au. For real gamma spectral analysis, the largest difference was found to be 28.2% for Zn in a calcium oxalate monohydrate type of kidney stones.
dc.identifier.doi10.1016/j.nima.2019.163062
dc.identifier.issn0168-9002
dc.identifier.issn1872-9576
dc.identifier.scopus2-s2.0-85075475885
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1016/j.nima.2019.163062
dc.identifier.urihttps://hdl.handle.net/11486/6284
dc.identifier.volume953
dc.identifier.wosWOS:000506419900048
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofNuclear Instruments & Methods in Physics Research Section A-Accelerators Spectrometers Detectors and Associated Equipment
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250323
dc.subjectGamma spectroscopy
dc.subjectNeural network
dc.subjectMonte Carlo
dc.subjectKidney stone
dc.titleGamma spectral analysis by artificial neural network coupled with Monte Carlo simulations
dc.typeArticle

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