8 research outputs found
Application of Tomography to the Nuclear Industry
While tomographic methods of reconstructing three~dimensional x-ray images are becoming more common in the medical field, their application to industrial problems has only started. Some of the features that differentiate industrial tomography from medical tomography are x-ray energies may vary from\u3c 10 keV to\u3e 22 MeV radiation dose to the object is not a constraint inspection times (within economic constraints) are not as important the anomalies to be detected offer sharp, high contrast boundaries to the inspection system high spatial resolution rather than high contrast sensitivity is the primary design goal, and the number of views may be limited by other (mechanical) constraints.
This paper will describe the effort the Los Alamos Scientific Laboratory (LASL) is making to define the design parameters that affect the constraints listed above. A tomographic test bed in which various design features may be evaluated will be described. The computational facilities at LASL, which include a versatile modeling code that can simulate tomographic systems with various types of radiation, geometries, and detector types, will also be discussed
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National impacts on visual air quality from a future energy scenario
A methodology was developed to evaluate impacts on atmospheric visual air quality for nonurban areas caused by regional haze. Estimated values of median visual range for 39 nonurban ambient air quality monitoring sites were shown to have a high correlation with observed values. A decline in median visual range is projected in regions of the west and the Gulf Coast where there is a substantial growth in the combustion of sulfur containing fossil fuels - coal in particular. The projected decline in median visual range in mandatory Class I Federal areas, particularly in the Western US may conflict with Congress's goal of protecting these areas against visibility impairment. Regulations for defining visibility impairment remain to be defined. The meeting of the emission limitations of the state implementation plans is projected to significantly improve the low visibilities experienced in the Eastern US, particularly in the Ohio Valley and the surrounding region
Application of Tomography to the Nuclear Industry
While tomographic methods of reconstructing three~dimensional x-ray images are becoming more common in the medical field, their application to industrial problems has only started. Some of the features that differentiate industrial tomography from medical tomography are x-ray energies may vary from 22 MeV radiation dose to the object is not a constraint inspection times (within economic constraints) are not as important the anomalies to be detected offer sharp, high contrast boundaries to the inspection system high spatial resolution rather than high contrast sensitivity is the primary design goal, and the number of views may be limited by other (mechanical) constraints.
This paper will describe the effort the Los Alamos Scientific Laboratory (LASL) is making to define the design parameters that affect the constraints listed above. A tomographic test bed in which various design features may be evaluated will be described. The computational facilities at LASL, which include a versatile modeling code that can simulate tomographic systems with various types of radiation, geometries, and detector types, will also be discussed.</p
Application of Tomography to the Nuclear Industry
While tomographic methods of reconstructing three~dimensional x-ray images are becoming more common in the medical field, their application to industrial problems has only started. Some of the features that differentiate industrial tomography from medical tomography are x-ray energies may vary from 22 MeV radiation dose to the object is not a constraint inspection times (within economic constraints) are not as important the anomalies to be detected offer sharp, high contrast boundaries to the inspection system high spatial resolution rather than high contrast sensitivity is the primary design goal, and the number of views may be limited by other (mechanical) constraints.
This paper will describe the effort the Los Alamos Scientific Laboratory (LASL) is making to define the design parameters that affect the constraints listed above. A tomographic test bed in which various design features may be evaluated will be described. The computational facilities at LASL, which include a versatile modeling code that can simulate tomographic systems with various types of radiation, geometries, and detector types, will also be discussed.</p
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Industrial applications of computed tomography at Los Alamos Scientific Laboratory
A research and development program was begun two years ago at the Los Alamos Scientific Laboratory (LASL) to study nonmedical applications of computed tomography. This program had several goals. The first goal was to develop the necessary reconstruction algorithms to accurately reconstruct cross sections of nonmedical industrial objects. The second goal was to be able to perform extensive tomographic simulations to determine the efficacy of tomographic reconstruction with a variety of hardware configurations. The final goal was to construct an inexpensive industrial prototype scanner with a high degree of design flexibility. The implementation of these program goals is described
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Multisource data set integration and characterization of uranium mineralization for the Montrose Quadrangle, Colorado
Several data-classification schemes were developed by the Los Alamos National Laboratory to detect potential uranium mineralization in the Montrose 1/sup 0/ x 2/sup 0/ quadrangle, Colorado. A first step was to develop and refine the techniques necessary to digitize, integrate, and register various large geological, geochemical, and geophysical data sets, including Landsat 2 imagery, for the Montrose quadrangle, Colorado, using a grid resolution of 1 km. All data sets for the Montrose quadrangle were registered to the Universal Transverse Mercator projection. The data sets include hydrogeochemical and stream sediment analyses for 23 elements, uranium-to-thorium ratios, airborne geophysical survey data, the locations of 90 uranium occurrences, a geologic map and Landsat 2 (bands 4 through 7) imagery. Geochemical samples were collected from 3965 locations in the 19 200 km/sup 2/ quadrangle; aerial data were collected on flight lines flown with 3 to 5 km spacings. These data sets were smoothed by universal kriging and interpolated to a 179 x 119 rectangular grid. A mylar transparency of the geologic map was prepared and digitized. Locations for the known uranium occurrences were also digitized. The Landsat 2 imagery was digitally manipulated and rubber-sheet transformed to quadrangle boundaries and bands 4 through 7 were resampled to both a 1-km and 100-m resolution. All possible combinations of three, for all data sets, were examined for general geologic correlations by utilizing a color microfilm output. Subsets of data were further examined for selected test areas. Two classification schemes for uranium mineralization, based on selected test areas in both the Cochetopa and Marshall Pass uranium districts, are presented. Areas favorable for uranium mineralization, based on these schemes, were identified and are discussed