R
Roger L. Martz
Researcher at Los Alamos National Laboratory
Publications - 22
Citations - 1642
Roger L. Martz is an academic researcher from Los Alamos National Laboratory. The author has contributed to research in topics: Monte Carlo method & Constructive solid geometry. The author has an hindex of 8, co-authored 20 publications receiving 1282 citations.
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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.
Proceedings 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.