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CLEAN SMART bill reintroduced in Senate
Senators Ben Ray Luján (D., N.M.) and Tim Scott (R., S.C.) have reintroduced legislation aimed at leveraging the best available science and technology at U.S. national laboratories to support the cleanup of legacy nuclear waste.
The Combining Laboratory Expertise to Accelerate Novel Solutions for Minimizing Accumulated Radioactive Toxins (CLEAN SMART) Act, introduced on February 11, would authorize up to $58 million annually to develop, demonstrate, and deploy innovative technologies, targeting reduced costs and safer, faster remediation of sites from the Manhattan Project and Cold War.
J. R. Wolberg, G. Hetsroni
Nuclear Technology | Volume 4 | Number 3 | March 1968 | Pages 187-189
Technical Paper and Note | doi.org/10.13182/NT68-A26384
Articles are hosted by Taylor and Francis Online.
Prediction analysis is applied to the design of experiments for measuring the half-life of a radioactive species. The half-life is assumed to be determined by fitting the exponential-plus-background function to the data points. Results can predict the experimental accuracy to which the half-life will be determined in a proposed experiment. The predicted accuracy is a function of the number of data points, the range of time values, the initial count rate, the amplitude-to-background ratio, and the uncertainties (in the time value as well as in the counts per channel) associated with each data point.