Generation of Proton- and Alpha-Induced Nuclear Cross-Section Data via Random Forest Algorithm: Production of Radionuclide <sup>111</sup>In

We investigated the generation of proton- and alpha-induced nuclear cross-section data in the production of Indium-111 (<sup>111</sup>In) for application in nuclear medicine. Here, we are interested in three reaction channels, which are <sup>109</sup>Ag (α, 2n), <sup>11...

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Bibliographic Details
Main Authors: Mohamad Amin Bin Hamid, Hoe Guan Beh, Yusuff Afeez Oluwatobi, Xiao Yan Chew, Saba Ayub
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/15/6969
Description
Summary:We investigated the generation of proton- and alpha-induced nuclear cross-section data in the production of Indium-111 (<sup>111</sup>In) for application in nuclear medicine. Here, we are interested in three reaction channels, which are <sup>109</sup>Ag (α, 2n), <sup>111</sup>Cd (p, n) and <sup>112</sup>Cd (p, 2n), in the production of <sup>111</sup>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.
ISSN:2076-3417