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Division Spotlight
Radiation Protection & Shielding
The Radiation Protection and Shielding Division is developing and promoting radiation protection and shielding aspects of nuclear science and technology — including interaction of nuclear radiation with materials and biological systems, instruments and techniques for the measurement of nuclear radiation fields, and radiation shield design and evaluation.
Meeting Spotlight
2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Latest News
Direct waste transfer process quickens at Savannah River Site
The Department of Energy Office of Environmental Management’s liquid waste contractor at the Savannah River Site this month marked the first direct transfer of decontaminated waste from the Salt Waste Processing Facility (SWPF) to the Saltstone Production Facility (SPF). This is a new step in optimizing waste processing, according to the DOE.
Ray S. Booth
Nuclear Technology | Volume 198 | Number 2 | May 2017 | Pages 217-227
Technical Paper | doi.org/10.1080/00295450.2017.1299494
Articles are hosted by Taylor and Francis Online.
Functionals derived from the finite Laplace transforms of time moments of experimental data are used to fit these data to exponential functions. The functionals provide linear relationships for individually determining parameter values successively. This new and unique fitting method is first derived and then applied to data containing up to four exponentials to demonstrate its capabilities. Advantages of this fitting procedure include the following. (1) Parameters of the fit can be determined from the data region where they are most important by a wide verity of methods, including conventional ones. (2) Fitting algorithms are available that are simple to program; use conventional “stripping techniques”; are quite robust; and have been tested for a wide range in the number of data points, statistical errors, data ranges, and parameter values. (3) Fitting algorithms are included that use the conventional correlation coefficient of two expressions to fit data with even or uneven time intervals. (4) Decay constants and their associated magnitudes are determined separately and independently from different functionals. (5) Each iteration of the fit requires relatively few computations, usually only selected integrals, which can be completed quite rapidly. (6) Parameter errors can be estimated by conventional techniques.