NEUP CINR-19-17219: Using Integral Benchmark Experiments to Improve Differential Nuclear Data Evaluations

The overarching goal of this project is to use the results of integral benchmark experiment to inform differential nuclear data evaluations and improve the predictive capability of modeling and simulation (M&S) tools. This goal will be accomplished by developing capabilities to assess the sensitivity of integral benchmark results to evaluated nuclear data parameters, and by using data assimilation tools to directly adjust the evaluated data parameters and improve the accuracy of M&S tools.

Additional Info

Field	Value
Awarded Institution	University of New Mexico
PI	Christopher Perfetti