Adjoint-Based Sensitivity and Uncertainty Analysis for Density and Composition: A User’s Guide-Reference-Cited by-同舟云学术

Adjoint-Based Sensitivity and Uncertainty Analysis for Density and Composition: A User’s Guide

Published:2017-03 Issue:3 Volume:185 Page:384-405
ISSN:0029-5639
Container-title:Nuclear Science and Engineering
language:en
Short-container-title:Nuclear Science and Engineering

Author:

Favorite Jeffrey A.¹,Perkó Zoltán²,Kiedrowski Brian C.³,Perfetti Christopher M.⁴

Affiliation:

1. Los Alamos National Laboratory, Computational Physics (X-CP) Division, P.O. Box 1663, MS F663, Los Alamos, New Mexico 87545

2. Massachusetts General Hospital/Harvard Medical School, Department of Radiation Oncology, Physics Research Group, Boston, Massachusetts 02114

3. University of Michigan, Nuclear Engineering and Radiological Sciences, Ann Arbor, Michigan 48109

4. Oak Ridge National Laboratory, Reactor and Nuclear Systems Division, Radiation Transport Group, P.O. Box 2008, MS 6170, Oak Ridge, Tennessee 37831

Publisher

Informa UK Limited

Subject

Nuclear Energy and Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00295639.2016.1272990

Reference15 articles.

1. “MCNP6 User’s Manual, Version 1.0,” Version 6.1.1, LA-CP-13-00634, Rev. 0, D. B. PELOWITZ, Ed. Los Alamos National Laboratory (May 2013); available as CCC-810 from Radiation Safety Information Computat-ional Center.

2. “SCALE Code System,” ORNL/TM-2005/39, Version 6.2, B. T. REARDEN and M. A. JESSEE, Eds., Oak Ridge National Laboratory (2016); available as CCC-834 from Radiation Safety Information Computational Center.

3. Adjoint-Basedk-Eigenvalue Sensitivity Coefficients to Nuclear Data Using Continuous-Energy Monte Carlo

4. SCALE Continuous-Energy Eigenvalue Sensitivity Coefficient Calculations

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