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Nuclear Energy Strategy announced at CNA2026
At the Canadian Nuclear Association Conference (CNA2026) in Ottawa, Ontario, on April 29, Minister of Energy and Natural Resources Tim Hodgson announced that Natural Resources Canada (NRCan) is developing a new Nuclear Energy Strategy for the country. The strategy, which is slated to be released by the end of this year, will be based on four objectives: 1) enabling new nuclear builds across Canada, 2) being a global supplier and exporter of nuclear technology and services, 3) expanding uranium production and nuclear fuel opportunities, and 4) developing new Canadian nuclear innovations, including in both fission and fusion technologies.
W. A. Coleman
Nuclear Science and Engineering | Volume 32 | Number 1 | April 1968 | Pages 76-81
Technical Paper | doi.org/10.13182/NSE68-1
Articles are hosted by Taylor and Francis Online.
The first section of this paper is a mathematical construction of a certain Monte Carlo procedure for sampling from the distribution The construction begins by defining a particular random variable λ. The distribution function of λ is developed and found to be identical to F(X). The definition of λ describes the sampling procedure. Depending on the behavior of Σ(x), it may be more efficient to sample from F(X) by obtaining realizations of λ than by the more conventional procedure described in the paper. Section II is a discussion of applications of the technique to problems in radiation transport where F(X) is frequently encountered as the distribution function for nuclear collisions. The first application is in charged particle transport where Σ(x) is essentially a continuous function of x. An application in complex geometries where Σ(x) is a step function, and changes values numerous times over a mean path, is also cited. Finally, it is pointed out that the technique has been used to improve the efficiency of estimating certain quantities, such as the number of absorptions in a material.