Machine Learning

Isotope Spectrum Builder: An Application for Modeling Gamma-Ray Spectra of Common Isotopes Using Monte Carlo Pools and Experimental Backgrounds

The Isotope Spectrum Builder is an open-source software framework for generating realistic gamma-ray spectra by combining physics-based Monte Carlo signal event pools with experimentally derived background radiation data. Signal events are generated …

Strengthening Nuclear Security with ML, Full-Spectrum 137Cs Burial Depth Estimation

The non-intrusive characterization of buried radioactive sources is a critical capability for thwarting illicit trafficking, mitigating orphan‑source hazards, and safeguarding civilian populations against radiological threats. Depth estimation, in …

Advancing Nuclear Forensics, Machine Learning methods for Nuclear Crime Scene Investgation, ADVANFO (IAEA)

Advancing Nuclear Forensics with the aid of Machine Learning Methods