Response Matrix Benchmark for the 1D Transport Equation with Matrix Scaling

B. D. Ganapol, J. K. Patel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The linear 1D transport equation is likely the most solved transport equation in radiative transfer and neutron transport. Nearly every method imaginable has been applied to its solution, including Laplace and Fourier transforms, singular eigenfunctions, solutions of singular integral equation, PN expansions, double PN expansions, Chebychev expansions, Lagrange polynomial expansions, numerical discrete ordinates with finite difference, analytical discrete ordinates, finite elements, solutions to integral equations, adding and doubling, invariant imbedding, solution of Ricatti equations and response matrix methods- and probably more methods of which the authors are unaware. Of all these listed, the response matrix solution to the discrete ordinates form of the 1D transport equation is arguably the simplest and most straightforward. Here, we propose another response of exponential solutions but to the first order equation enabled by matrix scaling.

Original languageEnglish (US)
Title of host publicationProceedings of the International Conference on Physics of Reactors, PHYSOR 2024
PublisherAmerican Nuclear Society
Pages802-810
Number of pages9
ISBN (Electronic)9780894487972
DOIs
StatePublished - 2024
Externally publishedYes
Event2024 International Conference on Physics of Reactors, PHYSOR 2024 - San Francisco, United States
Duration: Apr 21 2024Apr 24 2024

Publication series

NameProceedings of the International Conference on Physics of Reactors, PHYSOR 2024

Conference

Conference2024 International Conference on Physics of Reactors, PHYSOR 2024
Country/TerritoryUnited States
CitySan Francisco
Period4/21/244/24/24

Keywords

  • discrete ordinates
  • matrix diagonalization
  • matrix scaling
  • response matrix

ASJC Scopus subject areas

  • Nuclear Energy and Engineering
  • Safety, Risk, Reliability and Quality
  • Nuclear and High Energy Physics
  • Radiation

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