R
R. A. Forster
Researcher at Los Alamos National Laboratory
Publications - 13
Citations - 1703
R. A. Forster is an academic researcher from Los Alamos National Laboratory. The author has contributed to research in topics: Software verification and validation & Monte Carlo method. The author has an hindex of 9, co-authored 13 publications receiving 1356 citations.
Papers
More filters
Journal ArticleDOI
Initial MCNP6 Release Overview
Tim Goorley,Michael R. James,Thomas E. Booth,Forrest B. Brown,Jeffrey S. Bull,L. J. Cox,Joe W. Durkee,Jay S. Elson,Michael L Fensin,R. A. Forster,John S. Hendricks,H. G. Hughes,Russell C. Johns,Brian C. Kiedrowski,Roger L. Martz,Stepan G. Mashnik,Gregg W. McKinney,Denise B. Pelowitz,Richard E. Prael,Jeremy Sweezy,Laurie S. Waters,Trevor Wilcox,T. Zukaitis +22 more
TL;DR: High confidence in the MCNP6 code is based on its performance with the verification and validation test suites, comparisons to its predecessor codes, the regression test suite, its code development process, and the underlying high-quality nuclear and atomic databases.
ReportDOI
Initial MCNP6 Release Overview - MCNP6 version 1.0
John T. Goorley,Michael R. James,Thomas E. Booth,Forrest B. Brown,Jeffrey S. Bull,L. J. Cox,Joe W. Durkee,Jay S. Elson,Michael L Fensin,R. A. Forster,John S. Hendricks,H. Grady Hughes,Russell C. Johns,Brian C. Kiedrowski,Roger L. Martz,Stepan G. Mashnik,Gregg W. McKinney,Denise B. Pelowitz,Richard E. Prael,Jeremy Ed Sweezy,Laurie S. Waters,Trevor Wilcox,Anthony J. Zukaitis +22 more
ReportDOI
MCNP Version 6.2 Release Notes
Journal ArticleDOI
Features of MCNP6
Tim Goorley,Michael R. James,Thomas E. Booth,Forrest B. Brown,Jeffrey S. Bull,L. J. Cox,Joe W. Durkee,Jay S. Elson,Michael L Fensin,R. A. Forster,John S. Hendricks,H. G. Hughes,Russell C. Johns,Brian C. Kiedrowski,Roger L. Martz,Stepan G. Mashnik,Gregg W. McKinney,Denise B. Pelowitz,Richard E. Prael,Jeremy Sweezy,Laurie S. Waters,Trevor Wilcox,T. Zukaitis +22 more
TL;DR: High confidence in the MCNP6 code is based on its performance with the verification and validation test suites, comparisons to its predecessor codes, the authors' automated nightly software debugger tests, the underlying high quality nuclear and atomic databases, and significant testing by many beta testers.
ReportDOI
Analytical Benchmark Test Set for Criticality Code Verification
TL;DR: The 75-problem test set allows the user to verify the correctness of a criticality code for infinite medium and simple geometries in one- and two-energy groups, one-and- two-media, and both isotropic and linearly anisotropic neutron scattering.