A comparison of uncertainty propagation techniques using NDaST: full, half or zero Monte Carlo?
Uncertainty propagation to keff using a Total Monte Carlo sampling process is commonly used to solve the issues associated with non-linear dependencies and non-Gaussian nuclear parameter distributions. We suggest that in general, keff sensitivities to nuclear data perturbations are not problematic,...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2018-01-01
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| Series: | EPJ Nuclear Sciences & Technologies |
| Online Access: | https://doi.org/10.1051/epjn/2018016 |