Studying the Random Number Generators in MCNP6 using an Analytic Benchmark
An analytic solution to a previously studied toy problem is derived and used as a code verification benchmark.Using various Random Number Generators (RNGs) in MCNP6, including the newest SFC64 RNG available in MCNP6.3.1, and their various properties (e.g., RNG stride), we show how these RNGs perform and how to correct or workaround potential issues with respect to the analytic benchmark problem.
Authors
- Colin Weaver (ORCID: https://orcid.org/0000-0002-6333-4185)
- Michael Rising (ORCID: https://orcid.org/0000-0002-8712-2427)
Institutions
- Los Alamos National Laboratory (US)
Publication Details
- Published
- 2024-08-29
- DOI
- https://doi.org/10.2172/2439176
- Citations
- 1
- Primary Topic
- Chaos-based Image/Signal Encryption
- Type
- article
- Field-Weighted Citation Impact
- 0.25
Funders
- U.S. Department of Energy
- National Nuclear Security Administration