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primary topic: Generation of proton-and alpha-induced nuclear cross-section data via random forest algorithm: Production of radionuclide111in

Generation of proton-and alpha-induced nuclear cross-section data via random forest algorithm: Production of radionuclide111in
type: AcademicArticle
type: Article
abstract: We investigated the generation of proton-and alpha-induced nuclear cross-section data in the production of Indium-111 (111 In) for application in nuclear medicine. Here, we are interested in three reaction channels, which are109Ag (Î±, 2n),111Cd (p, n) and112Cd (p, 2n), in the production of111 In. A random forest algorithm was used to generate nuclear cross-section data by using an experimental nuclear cross-section from the Experimental Nuclear Reaction Data (EXFOR) database as input. Hence, reasonably accurate regression curves of nuclear cross-section data could be produced with the evaluated nuclear data library ENDF/B-VII.0 set as the benchmark. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
date: 2021
volume: 11
issue: 15
is part of: Applied Sciences (Switzerland)
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ArticleEPrint
is part of: repository

MDPI AG
type: Organization

Applied Sciences (Switzerland)
type: Collection
issn: 20763417

X.Y. Chew
type: Person
given name: X.Y.
family name: Chew

H.G. Beh
type: Person
given name: H.G.
family name: Beh

M.A.B. Hamid
type: Person
given name: M.A.B.
family name: Hamid

S. Ayub
type: Person
given name: S.
family name: Ayub

Y.A. Oluwatobi
type: Person
given name: Y.A.
family name: Oluwatobi

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primary topic: Generation of proton-and alpha-induced nuclear cross-section data via random forest algorithm: Production of radionuclide111in