Computer Science – Numerical Analysis
Scientific paper
Sep 1992
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1992stin...9317466s&link_type=abstract
Unknown
Computer Science
Numerical Analysis
Data Reduction, Dynamic Response, Gamma Rays, Mathematical Models, Monte Carlo Method, Nuclear Power Plants, Radiant Flux Density, Radiation Dosage, Radiation Transport, Integral Equations, Interpolation, Numerical Analysis, Scattering, Shielding, Standards
Scientific paper
A computationally simple method, based on line-beam response functions, is refined for estimating gamma skyshine dose rates. Critical to this method is the availability of an accurate approximation for the line-beam response function (LBRF). In this study, the LBRF is evaluated accurately with the point-kernel technique using recent photon interaction data. Various approximations to the LBRF are considered, and a three parameter formula is selected as the most practical approximation. By fitting the approximating formula to point-kernel results, a set of parameters is obtained that allows the LBRF to be quickly and accurately evaluated for energies between 0.01 and 15 MeV, for source-to-detector distances from 1 to 3000 m, and for beam angles from 0 to 180 degrees. This re-evaluation of the approximate LBRF gives better accuracy, especially at low energies, over a greater source-to-detector range than do previous LBRF approximations. A conical beam response function is also introduced for application to skyshine sources that are azimuthally symmetric about a vertical axis. The new response functions are then applied to three simple skyshine geometries (an open silo geometry, an infinite wall, and a rectangular four-wall building) and the results are compared to previous calculations and benchmark data.
Deng Xinghua
Faw R. E.
Shultis J. K.
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