A new statistical sampling sequence called Sampler has been developed for the SCALE
code system. Random values for the input multigroup cross sections are determined by …

Capabilities for uncertainty quantification (UQ) with respect to nuclear data have been
developed at PSI in the recent years and applied to the UAM benchmark. The guiding …

Abstract Characterization of the energy released from radionuclide decay in nuclear fuel
discharged from reactors is essential for the design, safety, and licensing analyses of used …

Uncertainties of various neutronics characteristics in commercial boiling water reactor
(BWR) and pressurized water reactor (PWR) cores due to cross-section covariance are …

The relatively recent abundance of computing resources has driven computational scientists
to build more complex and approximation-free computer models of physical phenomenon …

For the multiple sources of error introduced into the standard computational regime for
simulating reactor cores, rigorous uncertainty analysis methods are available primarily to …

ABSTRACT A methodology is presented for “black box” nuclear data uncertainty
propagation in a lattice physics code using stochastic sampling. The methodology has 4 …

The current regulatory process allows for the use of models employing realistic assumptions
as opposed to conservative bounding approaches, requiring a concerted use of best …

This paper presents an application of the Backward-Forward Monte Carlo (BFMC) method
using measured critical boron concentrations for a specific PWR cycle. The considered prior …

The aim of this work is to present the Exercise I‐1b “pin‐cell burn‐up benchmark” proposed
in the framework of OECD LWR UAM. Its objective is to address the uncertainty due to the …