Engineering topics
Jordan, David V.
Publications and source records attributed to Jordan, David V..
Estimating radiological background using imaging spectroscopy
Optical imaging spectroscopy is investigated as a method to estimate radiological background by spectral identification of soils, sediments, rocks, minerals and building materials derived from natural materials and assigning tabulated radiological emission values to these materials. Radiological airborne surveys are undertaken by local, state and federal agencies to identify the presence of radiological materials out of regulatory compliance. Detection performance in such surveys is determined by (among other factors) the uncertainty in the radiation background; increased knowledge of the expected radiation background will improve the ability to detect low-activity radiological materials. Radiological background due to naturally occurring radiological materials (NORM) can be estimated by reference to previous survey results, use of global 40K, 238U, and 232Th (KUT) values, reference to existing USGS radiation background maps, or by a moving average of the data as it is acquired. Each of these methods has its drawbacks: previous survey results may not include recent changes, the global average provides only a zero-order estimate, the USGS background radiation map resolutions are coarse and are accurate only to 1 km – 25 km sampling intervals depending on locale, and a moving average may essentially low pass filter the data to obscure small changes in radiation counts. Imaging spectroscopy from airborne or spaceborne platforms can offer higher resolution identification of materials and background, as well as provide imaging context information. AVIRIS hyperspectral image data is analyzed using commercial exploitation software to determine the usefulness of imaging spectroscopy to identify qualitative radiological background emissions when compared to airborne radiological survey data.
Hybrid Enrichment Verification Array: Investigations of the High-Energy Gamma-Ray Signature Origin and Use for Partial Defect Detection
The International Atomic Energy Agency (IAEA) is exploring the use of an Unattended Cylinder Verification Station (UCVS) to provide independent verification of the declared relative 235U enrichment, 235U mass and total uranium mass of the declared UF6 cylinders moving through modern centrifuge enrichment plants. The Hybrid Enrichment Verification Array (HEVA) method is a candidate nondestructive assay method for inclusion in a UCVS. Modeling and measured data from several field campaigns have demonstrated the potential of the HEVA method to assay relative cylinder enrichment with a precision comparable to or substantially better than today’s high-resolution handheld devices. The HEVA instrument is comprised of an array of sodium iodide gamma-ray detectors that measure two primary spectral components. One of these components is the traditional, direct, weakly-penetrating 235U gamma-ray signature, which contains the 186 keV photopeak. The other spectral component is a non-traditional, high-energy (above ~3 MeV) gamma-ray signature, which is generated indirectly from neutrons emitted from within the UF6 cylinder. These neutrons are more penetrating and create high-energy gamma rays through neutron capture reactions in the steel collimators surrounding the detectors and within the detector crystals. This paper will present results from Monte Carlo simulations and analyses of the HEVA method with a focus on the origins of this high-energy signature, the optimization of instrument design to enhance the signature, and the ability of this non-traditional signature to reveal partial defect scenarios wherein material is missing or substituted in the interior of the cylinder.