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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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Nuclear News 40 Under 40 discuss the future of nuclear
Seven members of the inaugural Nuclear News 40 Under 40 came together on March 4 to discuss the current state of nuclear energy and what the future might hold for science, industry, and the public in terms of nuclear development.
To hear more insights from this talented group of young professionals, watch the “40 Under 40 Roundtable: Perspectives from Nuclear’s Rising Stars” on the ANS website.
Plamen V. Petkov
Nuclear Science and Engineering | Volume 159 | Number 2 | June 2008 | Pages 221-227
Technical Note | doi.org/10.13182/NSE159-221
Articles are hosted by Taylor and Francis Online.
A statistical method to identify probability density function was previously reported in the literature. Analyses there include constructing a histogram that allows the characteristics of an unknown statistical distribution to be evaluated. Selection of the necessary number of bars, with detailed discussion, is an important issue. As a logical extension of that activity, this paper proposes constructing two sets of symmetrized and nonsymmetrical histograms. Comparing entropies through parameters called entropy coefficients allows the histogram with the optimal number of bars to be found. Additionally, Pearson's criterion is evaluated for verification. Two propositions are formulated in order to generalize the obtained results.This paper presents three cases that summarize the classification, developed after comparing symmetrized and nonsymmetrical histograms, and each case is discussed. Two of the cases demonstrate that symmetrical histograms represent properties of unknown statistical distributions when certain requirements are met. The third case summarizes results from data-trend evaluation, where symmetrization is not appropriate. Conclusions that follow the results are drawn.The presented approach was implemented and tested in a developed set of computer programs for data-trend analysis at the "Kozloduy" nuclear power plant. The source information has been obtained from Units 1 through 4, which are equipped with VVER-440/V230 reactors.