Exploring Stochastic Sampling in Nuclear Data Uncertainties Assessment for Reactor Physics Applications and Validation Studies

摘要: The quantification of uncertainties various calculation results, caused by the associated with input nuclear data, is a common task in reactor physics applications. Modern computation resources and improved knowledge on data allow nowadays to significantly advance capabilities for practical investigations. Stochastic sampling method which has received recently high momentum its use exploration domain design safety analysis. An application stochastic based tool towards dosimetry studies considered given paper certain exemplary test evaluations. not only allows propagation through calculations, but also an correlation analysis performance no additional costs any parameters interest can be done. Thus, example assessment Pearson coefficients several models, used validation studies, shown here. As next step, obtained information proposed discussion, focus systems similarities assessment. benefits employed tools respect are consequently outlined.