On the use of the adjoint operator for source reconstruction in particle transport problems

Pazinatto, Cássio Baissvenger; Barichello, Liliane Basso

doi:10.1080/17415977.2018.1471076

Cited by 3 publications

(1 citation statement)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The ADO method has been successfully used to solve a wide class of problems in the general area of particle transport [19,[21][22][23][24][25]. Its main features include the generation of an explicit solution in the spatial variable and the use of arbitrary angular quadrature schemes, defined in the half-range interval, which determine an eigenvalue problem whose order is half the number of discrete angles.…”

Section: Introductionmentioning

confidence: 99%

On the Application of the Analytical Discrete Ordinates Method to the Solution of Nonclassical Transport Problems in Slab Geometry

Moraes,

Barichello,

Barros

et al. 2021

Preprint

View full text Add to dashboard Cite

In this work we investigate the use of the Analytical Discrete Ordinates (ADO) method when solving the spectral approximation of the nonclassical transport equation. The spectral approximation is a recently developed method based on the representation of the nonclassical angular flux as a series of Laguerre polynomials. This representation generates, as outcome, a system of equations that have the form of classical transport equations and can therefore be solved by current deterministic algorithms. Thus, the investigation of efficient approaches to solve the nonclassical transport equation is of interest and shall be pursued. This is the case of the ADO method which has been successfully used to solve a wide class of problems in the general area of particle transport. Numerical results are presented for two nonclassical test problems in slab geometry. These nonclassical transport problems are chosen in such way that their solution exactly reproduces the solution of the classical diffusion problem. Very accurate results are obtained for both test problems. However, the use of high precision arithmetic is sometimes required as illustrated in the second test problem. Limitations of the spectral approximation are also analyzed and discussed.

show abstract