Generation of cross section for neutron induced nuclear reaction on iridium and tantalum isotope using machine learning technique.

In this work, we proposed a new approach in generating nuclear data using machine learning techniques. This paper focused on generation of nuclear cross section for neutron induced-nuclear reaction on iridium isotopes (Ir-191) and tantalum isotopes (Ta-181) target, specifically Ir (n,p)Os and Ta (n, 2n)Ta using random forest algorithms. The input consists of experimental datasets obtained from EXOR and simulated datasets from TALYS 1.