@inproceedings{e1336a50fce9494bac71ae0ebf87b55c,
title = "Least-Squares PN formulation of the transport equation using self-adjoint-angular-flux consistent boundary conditions",
abstract = "In this paper, we study the Least-Squares (LS) PN form of the transport equation compatible with voids [ ] in the context of Continuous Finite Element Methods (CFEM). We first derive weakly imposed boundary conditions which make the LS weak formulation equivalent to the Self-Adjoint Angular Flux (SAAF) variational formulation with a void treatment [ ], in the particular case of constant cross-sections and a uniform mesh. We then implement this method in Rattlesnake with the Multiphysics Object Oriented Simulation Environment (MOOSE) framework [ ] using a spherical harmonics (PN) expansion to discretize in angle. We test our implementation using the Method of Manufactured Solutions (MMS) and find the expected convergence behavior both in angle and space. Lastly, we investigate the impact of the global non-conservation of LS by comparing the method with SAAF on a heterogeneous test problem.",
keywords = "Boundary conditions, Least-Squares, P, Transport",
author = "Laboure, \{Vincent M.\} and Yaqi Wang and DeHart, \{Mark D.\}",
note = "Funding Information: This work is supported by the U.S. Department of Energy, under DOE Idaho Operations Office Contract DE-AC07-05ID14517. Accordingly, the U.S. Government retains a nonexclusive, royalty-free license to publish or reproduce the published form of this contribution, or allow others to do so, for U.S. Government purposes. This work was also partly funded by the National Science Foundation under Grant No. 1217170.; Physics of Reactors 2016: Unifying Theory and Experiments in the 21st Century, PHYSOR 2016 ; Conference date: 01-05-2016 Through 05-05-2016",
year = "2016",
language = "English",
series = "Physics of Reactors 2016, PHYSOR 2016: Unifying Theory and Experiments in the 21st Century",
publisher = "American Nuclear Society",
pages = "3376--3385",
booktitle = "Physics of Reactors 2016, PHYSOR 2016",
}