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Accelerator Applications
The division was organized to promote the advancement of knowledge of the use of particle accelerator technologies for nuclear and other applications. It focuses on production of neutrons and other particles, utilization of these particles for scientific or industrial purposes, such as the production or destruction of radionuclides significant to energy, medicine, defense or other endeavors, as well as imaging and diagnostics.
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ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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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ARG-US Remote Monitoring Systems: Use Cases and Applications in Nuclear Facilities and During Transportation
As highlighted in the Spring 2024 issue of Radwaste Solutions, researchers at the Department of Energy’s Argonne National Laboratory are developing and deploying ARG-US—meaning “Watchful Guardian”—remote monitoring systems technologies to enhance the safety, security, and safeguards (3S) of packages of nuclear and other radioactive material during storage, transportation, and disposal.
Thomas E. Booth
Nuclear Science and Engineering | Volume 156 | Number 3 | July 2007 | Pages 403-407
Technical Paper | doi.org/10.13182/NSE07-A2707
Articles are hosted by Taylor and Francis Online.
A method to provide an unbiased Monte Carlo estimate of the reciprocal of an integral is described. In Monte Carlo transport calculations, one often uses a single sample as an estimate of an integral. This paper shows that a similar situation exists with respect to a single sample for an unbiased estimate of the reciprocal of an integral. If an appropriate approximation to the integrand is known, then obtaining a single unbiased estimate of the reciprocal of an integral will not be much more time consuming than obtaining a single unbiased estimate of the integral itself.