J
Jeremy Sweezy
Researcher at Los Alamos National Laboratory
Publications - 15
Citations - 1189
Jeremy Sweezy is an academic researcher from Los Alamos National Laboratory. The author has contributed to research in topics: Monte Carlo method & Engineering. The author has an hindex of 6, co-authored 12 publications receiving 949 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.
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.
Journal Article
Release of MCNP5_RSICC_1.30.
Tim Goorley,Jeffrey S. Bull,Forrest B. Brown,Thomas E. Booth,H. G. Hughes,Russell D. Mosteller,R. A. Forster,S. E. Post,Richard E. Prael,Elizabeth Carol Selcow,Avneet Sood,Jeremy Sweezy +11 more
TL;DR: In July of 2004, an updated version of MCNP5{trademark} (MCNP5-RSICC-1.30) was released to the Radiation Shielding Information Computational Center, which has three new features, thirteen bug fixes and several minor coding improvements.
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.
Journal ArticleDOI
Automated variance reduction for MCNP using deterministic methods.
TL;DR: An automated variance reduction capability has been developed for the MCNP Monte Carlo transport code that employs the PARTISN multigroup discrete ordinates code to generate mesh-based weight windows for MCNP.