Speaker
Description
Neutron-induced γ-ray cascades provide key signatures for nondestructive assay, active interrogation, nuclear security applications, and nuclear data validation. Modern data needs go beyond capture γ-ray spectra alone and require proper correlations between emissions to be preserved event by event. Existing tools often lack the information needed to reconstruct complete cascades, leading to important quantities such as energy conservation being preserved only on average. These limitations were recently addressed with an extended GNDS-based representation of Evaluated Nuclear Data File (ENDF) data, designed to store the necessary experimental information and model-based inputs. Coupled to the GIDI+ event-generation framework, this approach enables inline neutron-capture and inelastic-scattering γ-ray cascades with event-by-event energy conservation and access to coincidence observables. This new capability is intended for use in transport simulations. In this talk, we will focus particularly on neutron capture, and discuss the impact of missing or incomplete primary γ-ray data, the need for additional measurements and dedicated validation setups, and the role of python libraries to access data such as pyEGAF in making existing experimental primary γ-ray information easier to access and use.
Work at Brookhaven National Laboratory was sponsored by the Office of Nuclear Physics, Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-98CH10886 with Brookhaven Science Associates, LLC.
| Contribution category | Theory |
|---|---|
| Presenter status | Faculty/Staff |