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

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 (α, 2n),111Cd (p, n) and112Cd (p, 2n), in the production of111 In. A...

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Main Authors: Hamid, M.A.B., Beh, H.G., Oluwatobi, Y.A., Chew, X.Y., Ayub, S.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.23779 /
Published: MDPI AG 2021
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111770634&doi=10.3390%2fapp11156969&partnerID=40&md5=5dfac22d2cfc44727a1d84fb53ea83cb
http://eprints.utp.edu.my/23779/
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spelling utp-eprints.237792021-08-19T13:10:24Z Generation of proton-and alpha-induced nuclear cross-section data via random forest algorithm: Production of radionuclide111in Hamid, M.A.B. Beh, H.G. Oluwatobi, Y.A. Chew, X.Y. Ayub, S. 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 (α, 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. MDPI AG 2021 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111770634&doi=10.3390%2fapp11156969&partnerID=40&md5=5dfac22d2cfc44727a1d84fb53ea83cb Hamid, M.A.B. and Beh, H.G. and Oluwatobi, Y.A. and Chew, X.Y. and Ayub, S. (2021) Generation of proton-and alpha-induced nuclear cross-section data via random forest algorithm: Production of radionuclide111in. Applied Sciences (Switzerland), 11 (15). http://eprints.utp.edu.my/23779/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description 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 (α, 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.
format Article
author Hamid, M.A.B.
Beh, H.G.
Oluwatobi, Y.A.
Chew, X.Y.
Ayub, S.
spellingShingle Hamid, M.A.B.
Beh, H.G.
Oluwatobi, Y.A.
Chew, X.Y.
Ayub, S.
Generation of proton-and alpha-induced nuclear cross-section data via random forest algorithm: Production of radionuclide111in
author_sort Hamid, M.A.B.
title Generation of proton-and alpha-induced nuclear cross-section data via random forest algorithm: Production of radionuclide111in
title_short Generation of proton-and alpha-induced nuclear cross-section data via random forest algorithm: Production of radionuclide111in
title_full Generation of proton-and alpha-induced nuclear cross-section data via random forest algorithm: Production of radionuclide111in
title_fullStr Generation of proton-and alpha-induced nuclear cross-section data via random forest algorithm: Production of radionuclide111in
title_full_unstemmed Generation of proton-and alpha-induced nuclear cross-section data via random forest algorithm: Production of radionuclide111in
title_sort generation of proton-and alpha-induced nuclear cross-section data via random forest algorithm: production of radionuclide111in
publisher MDPI AG
publishDate 2021
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111770634&doi=10.3390%2fapp11156969&partnerID=40&md5=5dfac22d2cfc44727a1d84fb53ea83cb
http://eprints.utp.edu.my/23779/
_version_ 1741196730906443776
score 11.62408

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