Review of Early 21st-Century Monte Carlo Perturbation and Sensitivity Techniques for k-Eigenvalue Radiation Transport Calculations

BC Kiedrowski - Nuclear Science and Engineering, 2017 - Taylor & Francis
Abstract Since the 1960s, Monte Carlo methods have been used to compute the effect of
perturbations on system responses and for computing sensitivity coefficients. This review …

Sensitivity and uncertainty analysis on the first core criticality of the RSG GAS multipurpose research reactor

PH Liem, D Hartanto - Progress in Nuclear Energy, 2019 - Elsevier
The results of criticality, sensitivity and uncertainty (S/U) analyses on the 1st core criticality of
the Indonesian 30 MWth Multipurpose Reactor RSG GAS (MPR-30) using the recent nuclear …

Expert‐in‐the‐loop design of integral nuclear data experiments

I Michaud, M Grosskopf, J Hutchinson… - … Analysis and Data …, 2024 - Wiley Online Library
Nuclear data are fundamental inputs to radiation transport codes used for reactor design
and criticality safety. The design of experiments to reduce nuclear data uncertainty has been …

Application of dynamic mode decomposition to Rossi-α method in a critical state using file-by-file moving block bootstrap method

T Endo, F Nishioka, A Yamamoto… - journal of nuclear …, 2022 - Taylor & Francis
Prompt neutron decay constant α in a critical state is useful information to validate the
numerically predicted ratio of the point kinetics parameters β eff/ℓ, where β eff and ℓ are the …

Neutronics calculation advances at los alamos: Manhattan project to monte carlo

A Sood, RA Forster, BJ Archer, RC Little - Nuclear Technology, 2021 - Taylor & Francis
The history and advances of neutronics calculations at Los Alamos during the Manhattan
Project through the present are reviewed. Substantial improvements to neutron diffusion …

User Manual for Whisper-1.1

FB Brown, ME Rising, JL Alwin - 2017 - osti.gov
Whisper is a statistical analysis package developed in 2014 to support nuclear criticality
safety (NCS) validation [1-3]. It uses the sensitivity profile data for an application as …

Using machine learning methods to predict bias in nuclear criticality safety

P Grechanuk, ME Rising, TS Palmer - Journal of Computational …, 2018 - Taylor & Francis
This paper describes the application of machine learning (ML) tools to the prediction of bias
in the criticality safety analysis. In particular, a set of over 1000 experiments included in the …

Sensitivity coefficients calculated for the prompt neutron decay constant at or near delayed critical

NA Kleedtke, JD Hutchinson, MY Hua, ME Rising - 2022 - osti.gov
The derivation of a non-invasive prompt neutron decay constant sensitivity coefficient is
provided in this work. The computation of the sensitivity coefficient derived in this work does …

[HTML][HTML] Addressing practical aspects of the nuclear criticality safety evaluations with frequentist statistics

H Lee, A Vasiliev, H Ferroukhi - Annals of Nuclear Energy, 2023 - Elsevier
Abstract General guidelines for Criticality Safety Evaluations (CSE) and regulatory
requirements on the Nuclear Criticality Safety are well established nowadays. However, the …

Comparison and evaluation of resolved resonance region covariance representations

H Belanger, A Lewis, D Barry - Journal of Nuclear Science and …, 2024 - Taylor & Francis
The covariance matrices for the evaluated resolved resonance region parameters are
typically processed into a grouped covariance representation for use in uncertainty …