@inproceedings{81aef0b693dc4915b476b64bc69c4a9b,
title = "The method of modular characteristic direction probabilities in MPACT",
abstract = "The method of characteristic direction probabilities (CDP) is based on a modular ray tracing technique which combines the benefits of the collision probability method (CPM) and the method of characteristics (MOC). This past year CDP was implemented in the transport code MPACT for 2-D and 3-D transport calculations. By only coupling the fine mesh regions passed by the characteristic rays in the particular direction, the scale of the probabilities matrix is much smaller compared to the CPM. At the same time, the CDP has the same capacity of dealing with the complicated geometries with the MOC, because the same modular ray tracing techniques are used. Results from the C5G7 benchmark problems are given for different cases to show the accuracy and efficiency of the CDP compared to MOC. For the cases examined, the CDP and MOC methods were seen to differ in k-eff by about 1-20 pcm, and the computational efficiency of the CDP appears to be better than the MOC for some problems. However, in other problems, particularly when the CDP matrices have to be recomputed from changing cross sections, the CDP does not perform as well. This indicates an area of future work.",
keywords = "CDP, CPM, MOC",
author = "Zhouyu Liu and Brendan Kochunas and Benjamin Collins and Thomas Downar and Hongchun Wu",
year = "2013",
language = "英语",
isbn = "9781627486439",
series = "International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2013",
pages = "1901--1912",
booktitle = "International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2013",
note = "International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2013 ; Conference date: 05-05-2013 Through 09-05-2013",
}