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

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).

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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 (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.

Item Type:Article
Impact Factor:cited By 0
ID Code:23779
Deposited By: Ms Sharifah Fahimah Saiyed Yeop
Deposited On:19 Aug 2021 13:10
Last Modified:19 Aug 2021 13:10

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