ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
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
2025 ANS Annual Conference
June 15–18, 2025
Chicago, IL|Chicago Marriott Downtown
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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May 2025
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Nuclear Science and Engineering
June 2025
Nuclear Technology
Fusion Science and Technology
Latest News
NRC v. Texas: Supreme Court weighs challenge to NRC authority in spent fuel storage case
The State of Texas has not one but two ongoing federal court challenges to the Nuclear Regulatory Commission that could, if successful, turn decades of NRC regulations, precedent, and case law on its head.
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.