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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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2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
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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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DOE issues final RFQ for WIPP clean energy initiative
The Department of Energy’s Office of Environmental Management has issued a request for qualifications for interested parties and prospective offerors looking to enter into a realty agreement for carbon-pollution-free electricity (CFE) projects at the department’s Waste Isolation Pilot Plant site in southeastern New Mexico.
Mihály Makai, Zoltán Szatmáry
Nuclear Science and Engineering | Volume 177 | Number 1 | May 2014 | Pages 52-67
Technical Paper | doi.org/10.13182/NSE12-97
Articles are hosted by Taylor and Francis Online.
In the Monte Carlo (MC) method, statistical noise is usually present, and it may become dominant in the calculation of a distribution, usually by iteration, but it is less important in calculating integrals. The subject of the present work is the role of statistical noise in iterations involving stochastic simulation (the MC method). Convergence is checked by comparing two consecutive solutions in the iteration. The statistical noise may randomize or pervert the convergence. We study the probability of convergence and the correct estimation of the variance in a simplified model problem. We also study the statistical properties of the solution to a deterministic problem with a stochastic source obtained from a stochastic calculation. There are iteration strategies resulting in nonconvergence or a randomly stopped iteration.