Estimations of beta-decay energies through the nuclidic chart by using neural network

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dc.authoridBAYRAM, Tuncay/0000-0003-3704-0818
dc.contributor.authorAkkoyun, Serkan
dc.contributor.authorBayram, Tuncay
dc.contributor.authorTurker, Tugba
dc.date.accessioned2025-03-23T19:38:15Z
dc.date.available2025-03-23T19:38:15Z
dc.date.issued2014
dc.departmentSinop Üniversitesi
dc.description.abstractOne of the main characteristics of unstable nuclei is beta-decay energy (Q(beta)). It is determined by different methods such as beta endpoint measurements, counting in coincidence with annihilation radiation, electron capture (EC)/beta(+) ratio method, method of gamma absorption with X-ray coincidence. Beta-decay energy is a roughly linear function of atomic and mass numbers. Due to the fact that artificial neural network (ANN) is sufficient for nonlinear function approximation, in this study by using the nuclear masses from Hartree-Fock-BCS method, Q(beta) values have been obtained by ANN. It is seen that the estimations of the ANN are consistent with the calculated data within some deviation. (C) 2013 Elsevier Ltd. All rights reserved.
dc.identifier.doi10.1016/j.radphyschem.2013.10.002
dc.identifier.endpage189
dc.identifier.issn0969-806X
dc.identifier.issn1879-0895
dc.identifier.scopus2-s2.0-84887008617
dc.identifier.scopusqualityQ1
dc.identifier.startpage186
dc.identifier.urihttps://doi.org/10.1016/j.radphyschem.2013.10.002
dc.identifier.urihttps://hdl.handle.net/11486/6107
dc.identifier.volume96
dc.identifier.wosWOS:000330157400030
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltd
dc.relation.ispartofRadiation Physics and Chemistry
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250323
dc.subjectBeta decay energy
dc.subjectHartree-Fock-BCS method
dc.subjectArtificial neural network
dc.subjectNuclear mass
dc.titleEstimations of beta-decay energies through the nuclidic chart by using neural network
dc.typeArticle

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