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Argonne updates: Fuel research and materials lab
Over the past two weeks, Argonne National Laboratory has announced numerous significant advancements being made by its staff to push forward nuclear fuels and materials research. Those announcements include the opening of the new Activated Materials Lab, the development of a new measurement technique, and the application of new artificial intelligence tools.
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.