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
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
College students help develop waste-measuring device at Hanford
A partnership between Washington River Protection Solutions (WRPS) and Washington State University has resulted in the development of a device to measure radioactive and chemical tank waste at the Hanford Site. WRPS is the contractor at Hanford for the Department of Energy’s Office of Environmental Management.
M. Prasad, N. Snyderman, J. Verbeke, R. Wurtz
Nuclear Science and Engineering | Volume 174 | Number 1 | May 2013 | Pages 1-29
Technical Paper | doi.org/10.13182/NSE11-87
Articles are hosted by Taylor and Francis Online.
For material spontaneously generating fission chains, the arrival times of neutron and gamma-ray counts create a clustering pattern distinctly different from a random source. A theory for the time interval distribution between counts is given. As well as the distribution of nearest-neighbor counts, we give the general distributions for all n'th-neighbor intervals. The sum of these distributions gives the Rossi correlation function. This theory supplies the direct link between the experimentally measured quantities and the theory of the Rossi correlation function.