@article{oai:nagoya.repo.nii.ac.jp:00025055,
 author = {Endo, Tomohiro and Chiba, Go and van, Rooijen  Willem Frederik Geert and Yamanaka, Masao and Pyeon, Cheol Ho},
 issue = {4},
 journal = {Journal of Nuclear Science and Technology},
 month = {},
 note = {Nuclear data-induced uncertainties of neutronics parameters (neutron multiplication factor keff, one-point kinetics parameters and prompt neutron decay constant α) are quantified for lead-bismuth zoned accelerator-driven system experiments at the Kyoto University Critical Assembly, in order to contribute validation for subcritical core analysis. The random sampling technique using SCALE6.2.1/Sampler/NEWT/PARTISN is utilized for the validation and the uncertainty quantification, because the random sampling technique is applicable for a problem which is not easy to apply the perturbation theory. Consequently, it is confirmed that the numerical results of α reasonably agree with the experimental ones, compared with the nuclear data-induced uncertainties. In addition, it is clarified that the nuclear data-induced correlations between α and keff and between α and neutron generation time Λ are strongly negative and positive, respectively. This fact implies that the numerical predictions of keff and Λ can be improved by the data assimilation technique using subcritical experimental results of α, which can be directly measured even for a deep subcritical system.},
 pages = {450--459},
 title = {Experimental analysis and uncertainty quantification using random sampling technique for ADS experiments at KUCA},
 volume = {55},
 year = {2018}
}