On prediction accuracy of neutronics parameters of accelerator-driven system

oleh: Chiba Go, Endo Tomohiro, Rooijen Wilfred van, Pyeon Cheol Ho

Format: Article
Diterbitkan: EDP Sciences 2017-01-01

Deskripsi

Nuclear data-induced uncertainty of neutronics parameters of one specific ADS design is quantified. The nuclear data adjustment method with available integral data is employed to reduce the uncertainties, and usefulness of these integral data is investigated. Numerical results reveal that the uncertainty reduction by the present nuclear data adjustment is insignificant and restrictive. Future perspecitives are also provided.