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 |
| Published: |
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 |
| Summary: | 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. |
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| ISSN: | 2100-014X |