Total cross section model with uncertainty evaluated by KALMAN
We propose a new total cross section model including its uncertainty to estimate systematic uncertainty in particle transport simulations. Medians and widths of parameters in the model, which describe the model uncertainty in the simulation, were determined by using the KALMAN code based on the Baye...
Main Authors: | , |
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Format: | Article |
Language: | English |
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EDP Sciences
2020-01-01
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Series: | EPJ Web of Conferences |
Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2020/15/epjconf_nd2019_03015.pdf |
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author | Hashimoto Shintaro Sato Tatsuhiko |
author_facet | Hashimoto Shintaro Sato Tatsuhiko |
author_sort | Hashimoto Shintaro |
collection | DOAJ |
description | We propose a new total cross section model including its uncertainty to estimate systematic uncertainty in particle transport simulations. Medians and widths of parameters in the model, which describe the model uncertainty in the simulation, were determined by using the KALMAN code based on the Bayes' theorem. We implemented the new model in the particle and heavy ion transport code system (PHITS), and then performed shielding calculations with neutron beams. By using analysis of variance (ANOVA), the systematic uncertainty associated with the model uncertainty can be estimated from variance in calculated results. |
first_indexed | 2024-12-16T09:42:53Z |
format | Article |
id | doaj.art-ccf504166e73462a8a4be61053175450 |
institution | Directory Open Access Journal |
issn | 2100-014X |
language | English |
last_indexed | 2024-12-16T09:42:53Z |
publishDate | 2020-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | EPJ Web of Conferences |
spelling | doaj.art-ccf504166e73462a8a4be610531754502022-12-21T22:36:13ZengEDP SciencesEPJ Web of Conferences2100-014X2020-01-012390301510.1051/epjconf/202023903015epjconf_nd2019_03015Total cross section model with uncertainty evaluated by KALMANHashimoto Shintaro0Sato Tatsuhiko1Japan Atomic Energy AgencyJapan Atomic Energy AgencyWe propose a new total cross section model including its uncertainty to estimate systematic uncertainty in particle transport simulations. Medians and widths of parameters in the model, which describe the model uncertainty in the simulation, were determined by using the KALMAN code based on the Bayes' theorem. We implemented the new model in the particle and heavy ion transport code system (PHITS), and then performed shielding calculations with neutron beams. By using analysis of variance (ANOVA), the systematic uncertainty associated with the model uncertainty can be estimated from variance in calculated results.https://www.epj-conferences.org/articles/epjconf/pdf/2020/15/epjconf_nd2019_03015.pdf |
spellingShingle | Hashimoto Shintaro Sato Tatsuhiko Total cross section model with uncertainty evaluated by KALMAN EPJ Web of Conferences |
title | Total cross section model with uncertainty evaluated by KALMAN |
title_full | Total cross section model with uncertainty evaluated by KALMAN |
title_fullStr | Total cross section model with uncertainty evaluated by KALMAN |
title_full_unstemmed | Total cross section model with uncertainty evaluated by KALMAN |
title_short | Total cross section model with uncertainty evaluated by KALMAN |
title_sort | total cross section model with uncertainty evaluated by kalman |
url | https://www.epj-conferences.org/articles/epjconf/pdf/2020/15/epjconf_nd2019_03015.pdf |
work_keys_str_mv | AT hashimotoshintaro totalcrosssectionmodelwithuncertaintyevaluatedbykalman AT satotatsuhiko totalcrosssectionmodelwithuncertaintyevaluatedbykalman |