Description
The radionuclide ⁴⁷Sc is of growing medical interest for its dual role in imaging and targeted therapy. This work explores its production via proton irradiation of enriched titanium targets, optimizing nuclear cross-section data through simulations with the TALYS code. A Genetic Algorithm (GA) refines key nuclear parameters—particularly the Nuclear Level Density (NLD)—to improve agreement with experimental data. The approach enhances cross-section reliability, yield predictions, and energy window selection, ensuring clinically relevant purity. This study demonstrates the impact of GA optimization in advancing nuclear data for theranostic radionuclides.
Primary authors
Francesca Barbaro
(Istituto Nazionale di Fisica Nucleare)
Iuliia Lashko
(Bogolyubov Institute for Theoretical Physics, Kiev, Ukraine)
Lisa Zangrando
(Istituto Nazionale di Fisica Nucleare)
Luciano Canton
(Istituto Nazionale di Fisica Nucleare)
