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...
| Main Authors: | Hamid, M.A.B., Beh, H.G., Oluwatobi, Y.A., Chew, X.Y., Ayub, S. |
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| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.23779 / |
| Published: |
MDPI AG
2021
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| 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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| Summary: |
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. |
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