Multifractality, percolation threshold and critical point of a nuclear reactor
V. V. Ryazanov

TL;DR
This paper employs a multifractal model to analyze neutron behavior in nuclear reactors, exploring percolation thresholds and critical points, and linking fractal properties to reactor criticality and chain reactions.
Contribution
It introduces a multifractal framework to describe neutron dynamics and identifies critical percolation thresholds related to reactor criticality.
Findings
Neutron behavior exhibits multifractal characteristics.
Percolation probability correlates with reactor criticality.
Fractal analysis helps identify critical regions in reactor operation.
Abstract
A multifractal model is used to analyze neutron evolution within a reactor. For chain reactions, various characteristics of multifractal neutron behavior have been determined. These include the dimension of the multifractal carrier, information and correlation dimensions, the entropy of the fractal set, maximum and minimum dimension values, and the multifractal spectrum function. The geometric features of a multifractal allow for the description of a stochastic system consisting of hierarchically subordinate statistical ensembles, which are characterized by Cayley trees. A stationary distribution over hierarchical levels is established, which follows the Tsallis power law. The text also points out some potential applications of fractal patterns in nuclear reactor theory. The chance of percolation, which is when we see a state in the Bethe lattice where there's at least one continuous…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStatistical Mechanics and Entropy · Complex Systems and Time Series Analysis · Theoretical and Computational Physics
