DOE OSTI · 2531217
Abstract not provided.
Explore connections, maps & timelines
Neudecker, Denise. 2024-11-11. The need for new EXFOR formats to apply machine learning techniques to its data [Slides]. https://doi.org/10.2172/2531217
Cite the original work for its findings. Save a collection to share your selection of sources.
KEEP EXPLORING
Abstract not provided.
Nuclear data uncertainties and similarity metrics were investigated for the Thales design. Nuclear data uncertainties decrease dramatically from BLO to ENDF/B-VIII.1 covariances. Similarity metrics were utilize to down-select among proposed experiment design files.
Some Radioisotope Identification Devices (RIIDs) have a low efficiency neutron detector that can provide a neutron singles counting rate along with the primary gamma spectra that can be used to identify a radioisotope. When we know absolute efficiency, other characteristics of a radioisotope can be estimated such as mass or source strength when accompanied by the identity of the isotope and other observable variables. This study focuses on characterizing and comparing the absolute neutron efficiencies of some commonly used RIIDs: the ORTEC Detective X, ORTEC RADEAGLET-R, and FLIR IDentifinder 2.