English

Variable Dynamic Mode Decomposition for Estimating Time Eigenvalues in Nuclear Systems

Computational Physics 2022-08-24 v1

Abstract

We present a new approach to calculating time eigenvalues of the neutron transport operator (also known as α\alpha eigenvalues) by extending the dynamic mode decomposition (DMD) to allow for non-uniform time steps. The new method, called variable dynamic mode decomposition (VDMD), is shown to be accurate when computing eigenvalues for systems that were infeasible with DMD due to a large separation in time scales (such as those that occur in delayed supercritical systems). The α\alpha eigenvalues of an infinite medium neutron transport problem with delayed neutrons and consequently having multiple, very different relevant time scales are computed. Furthermore, VDMD is shown to be of similar accuracy to the original DMD approach when computing eigenvalues in other systems where the previously studied DMD approach can be used.

Keywords

Cite

@article{arxiv.2208.10942,
  title  = {Variable Dynamic Mode Decomposition for Estimating Time Eigenvalues in Nuclear Systems},
  author = {Ethan Smith and Ilham Variansyah and Ryan McClarren},
  journal= {arXiv preprint arXiv:2208.10942},
  year   = {2022}
}

Comments

20 pages, 3 tables, 3 figures

R2 v1 2026-06-25T01:54:10.532Z