Bayesian Model Comparison of Basis Function Systems for Particle-Reflection-Distribution Data
Roland Preuss, Udo von Toussaint
Abstract
Numerical simulations for particles impinging on the first wall of fusion devices yield angle- and energy-distributions of reflected particles. Common practice is to summarize this data in extensive tables for input to plasma wall interaction codes. Our approach is to summarize the multivariate distributions by a suitable basis function system and reduce the amount of data to be stored to the coefficients of the function system under consideration. In this paper we employ MCMC within a Bayesian model comparison for calculating the evidence in order to determine which of a selection of hemispherical basis function systems performs best.
BibTeX
@article{https://doi.org/10.5281/zenodo.20028948,
doi = {10.5281/ZENODO.20028948},
url = {https://zenodo.org/doi/10.5281/zenodo.20028948},
author = {Preuss, Roland and von Toussaint, Udo},
title = {Bayesian Model Comparison of Basis Function Systems for Particle-Reflection-Distribution Data},
publisher = {Zenodo},
year = {2026},
copyright = {Creative Commons Attribution 4.0 International}
}