Implementation of track length estimator for flux distribution tallies using proper orthogonal decomposition in one-dimensional geometry
In a recent study, we have developed an efficient flux distribution tallying method in the Monte Carlo calculation toward the high-fidelity, large scale multi-physics simulation. In this method, the proper orthogonal decomposition is applied to the flux distribution tallies. While the tallying metho...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2024-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2024/12/epjconf_snamc2024_04002.pdf |
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| _version_ | 1850206994170904576 |
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| author | Kondo Ryoichi Endo Tomohiro Yamamoto Akio |
| author_facet | Kondo Ryoichi Endo Tomohiro Yamamoto Akio |
| author_sort | Kondo Ryoichi |
| collection | DOAJ |
| description | In a recent study, we have developed an efficient flux distribution tallying method in the Monte Carlo calculation toward the high-fidelity, large scale multi-physics simulation. In this method, the proper orthogonal decomposition is applied to the flux distribution tallies. While the tallying method was implemented with the collision estimator in the previous study, the track length estimator is implemented in the present study to obtain the tally with lower statistical error. The implementation of the flux distribution tally with the track length estimator is compared with that of the collision estimator and the normal track length estimator in a one-dimensional problem. The numerical results reveal that the distribution tally using the proper orthogonal decomposition with the track length estimator can obtain a more precise solution compared with that with the collision estimator. Therefore, in terms of the statistical error, the relationship between the distribution tally with track length and collision estimators is similar to that between the conventional track length and collision estimators. |
| format | Article |
| id | doaj-art-1c0655240a7b454c8075ef245ebaa352 |
| institution | OA Journals |
| issn | 2100-014X |
| language | English |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | EPJ Web of Conferences |
| spelling | doaj-art-1c0655240a7b454c8075ef245ebaa3522025-08-20T02:10:39ZengEDP SciencesEPJ Web of Conferences2100-014X2024-01-013020400210.1051/epjconf/202430204002epjconf_snamc2024_04002Implementation of track length estimator for flux distribution tallies using proper orthogonal decomposition in one-dimensional geometryKondo Ryoichi0Endo Tomohiro1Yamamoto Akio2Japan Atomic Energy AgencyNagoya UniversityNagoya UniversityIn a recent study, we have developed an efficient flux distribution tallying method in the Monte Carlo calculation toward the high-fidelity, large scale multi-physics simulation. In this method, the proper orthogonal decomposition is applied to the flux distribution tallies. While the tallying method was implemented with the collision estimator in the previous study, the track length estimator is implemented in the present study to obtain the tally with lower statistical error. The implementation of the flux distribution tally with the track length estimator is compared with that of the collision estimator and the normal track length estimator in a one-dimensional problem. The numerical results reveal that the distribution tally using the proper orthogonal decomposition with the track length estimator can obtain a more precise solution compared with that with the collision estimator. Therefore, in terms of the statistical error, the relationship between the distribution tally with track length and collision estimators is similar to that between the conventional track length and collision estimators.https://www.epj-conferences.org/articles/epjconf/pdf/2024/12/epjconf_snamc2024_04002.pdf |
| spellingShingle | Kondo Ryoichi Endo Tomohiro Yamamoto Akio Implementation of track length estimator for flux distribution tallies using proper orthogonal decomposition in one-dimensional geometry EPJ Web of Conferences |
| title | Implementation of track length estimator for flux distribution tallies using proper orthogonal decomposition in one-dimensional geometry |
| title_full | Implementation of track length estimator for flux distribution tallies using proper orthogonal decomposition in one-dimensional geometry |
| title_fullStr | Implementation of track length estimator for flux distribution tallies using proper orthogonal decomposition in one-dimensional geometry |
| title_full_unstemmed | Implementation of track length estimator for flux distribution tallies using proper orthogonal decomposition in one-dimensional geometry |
| title_short | Implementation of track length estimator for flux distribution tallies using proper orthogonal decomposition in one-dimensional geometry |
| title_sort | implementation of track length estimator for flux distribution tallies using proper orthogonal decomposition in one dimensional geometry |
| url | https://www.epj-conferences.org/articles/epjconf/pdf/2024/12/epjconf_snamc2024_04002.pdf |
| work_keys_str_mv | AT kondoryoichi implementationoftracklengthestimatorforfluxdistributiontalliesusingproperorthogonaldecompositioninonedimensionalgeometry AT endotomohiro implementationoftracklengthestimatorforfluxdistributiontalliesusingproperorthogonaldecompositioninonedimensionalgeometry AT yamamotoakio implementationoftracklengthestimatorforfluxdistributiontalliesusingproperorthogonaldecompositioninonedimensionalgeometry |