Nuclide Identification, Quantification, and Uncertainty
The objective of this presentation is to provide an overview of nuclide identification, quantification, and uncertainty using gamma-ray spectrometry.
Engineering topics
Publications and source records attributed to Karpius, Peter Joseph.
The objective of this presentation is to provide an overview of nuclide identification, quantification, and uncertainty using gamma-ray spectrometry.
This presentation provides an overview of common detector concepts
The interaction of gamma rays with matter results in an effect we call attenuation (i.e. ‘shielding’). Attenuation can dramatically alter the appearance of a spectrum. Attenuating materials may actually create features in a spectrum via x-ray fluorescence. Attenuation is a function of the incident gamma-ray, material properties, and the thickness of the material. Half Value Layers (HVL) are a useful concept for estimating how much a given thickness of material will impact transmission of gamma-rays. Shielding impacts spectra in predictable ways. We can use clues in the spectrum to infer information about the source’s local environment.
Abstract not provided.
We previously modeled a 6 kg neptunium sphere with pyDMTK 2.0.0b, a python-based intrinsic radiation (INRAD) modeling tool, on the MOONLIGHT machine. Here we report results from version 2.0.1b on SNOW, another TriLab Linux Capacity Cluster (TLCC) resource on the Laboratory’s Turquoise network. We also present gamma output from MCNP 6.2.0 in terms of discrete line strengths, full gamma spectra, and dose rate maps for visualization. Results from both models agree with recent gamma measurements.