Flux and Reaction Rate Kernel Density Estimators in OpenMC
- Authors:
-
- Los Alamos National Laboratory
- Publication Date:
- Research Org.:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- DOE/LANL
- OSTI Identifier:
- 1090692
- Report Number(s):
- LA-UR-13-26477
- DOE Contract Number:
- AC52-06NA25396
- Resource Type:
- Technical Report
- Country of Publication:
- United States
- Language:
- English
- Subject:
- Mathematics & Computing(97); Nuclear Physics & Radiation Physics(73)
Citation Formats
Burke, Timothy P., Kiedrowski, Brian C., and Martin, William R.. Flux and Reaction Rate Kernel Density Estimators in OpenMC. United States: N. p., 2013.
Web. doi:10.2172/1090692.
Burke, Timothy P., Kiedrowski, Brian C., & Martin, William R.. Flux and Reaction Rate Kernel Density Estimators in OpenMC. United States. doi:10.2172/1090692.
Burke, Timothy P., Kiedrowski, Brian C., and Martin, William R.. Thu .
"Flux and Reaction Rate Kernel Density Estimators in OpenMC". United States.
doi:10.2172/1090692. https://www.osti.gov/servlets/purl/1090692.
@article{osti_1090692,
title = {Flux and Reaction Rate Kernel Density Estimators in OpenMC},
author = {Burke, Timothy P. and Kiedrowski, Brian C. and Martin, William R.},
abstractNote = {},
doi = {10.2172/1090692},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Aug 15 00:00:00 EDT 2013},
month = {Thu Aug 15 00:00:00 EDT 2013}
}
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.
-
GPU Acceleration of Mean Free Path Based Kernel Density Estimators in Monte Carlo Neutronics Simulations with Curvilinear Geometries
KDEs show potential reducing variance for global solutions (flux, reaction rates) when compared to histogram solutions. -
GPU Acceleration of Mean Free Path Based Kernel Density Estimators for Monte Carlo Neutronics Simulations
Kernel Density Estimators (KDEs) are a non-parametric density estimation technique that has recently been applied to Monte Carlo radiation transport simulations. Kernel density estimators are an alternative to histogram tallies for obtaining global solutions in Monte Carlo tallies. With KDEs, a single event, either a collision or particle track, can contribute to the score at multiple tally points with the uncertainty at those points being independent of the desired resolution of the solution. Thus, KDEs show potential for obtaining estimates of a global solution with reduced variance when compared to a histogram. Previously, KDEs have been applied to neutronics formore »