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Division Spotlight
Fuel Cycle & Waste Management
Devoted to all aspects of the nuclear fuel cycle including waste management, worldwide. Division specific areas of interest and involvement include uranium conversion and enrichment; fuel fabrication, management (in-core and ex-core) and recycle; transportation; safeguards; high-level, low-level and mixed waste management and disposal; public policy and program management; decontamination and decommissioning environmental restoration; and excess weapons materials disposition.
Meeting Spotlight
International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2025)
April 27–30, 2025
Denver, CO|The Westin Denver 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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Latest News
DTE Energy studying uprate at Fermi-2, considers Fermi-3’s prospects
DTE Energy, the owner of Fermi nuclear power plant in Michigan, is considering an extended uprate for Unit 2 that would increase its 1,100-MW generation capacity by 150 MW.
Dušan Babala
Nuclear Science and Engineering | Volume 28 | Number 2 | May 1967 | Pages 237-242
Technical Paper | doi.org/10.13182/NSE67-A17473
Articles are hosted by Taylor and Francis Online.
On the basis of Kolmogorov's general theory of chain processes, a formula for a conditional count probability as measured by a certain type of time analyzer is derived and compared with the classical Rossi-α formula. The discrepancy between the Rossi-&aplha; formula and the experimental results reported by several authors is explained. It is shown that this discrepancy is due to the frequently misunderstood function of the time analyzer used. The mathematical technique employed in the paper is well suited for calculating the conditional count probabilities, which might possibly be measured by other types of time analyzers.