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

Abstract

We investigated the generation of proton- and alpha-induced nuclear cross-section data in the production of Indium-111 (¹¹¹In) for application in nuclear medicine. Here, we are interested in three reaction channels, which are ¹⁰⁹Ag (α, 2n), ¹¹¹Cd (p, n) and ¹¹²Cd (p, 2n), in the production of ¹¹¹In. 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.