Automatic variance reduction for three-dimensional Monte Carlo simulations by the local importance function transform -- 2: Numerical results

Journal Article · Mon Sep 01 04:00:00 EDT 1997 · Nuclear Science and Engineering

DOI:https://doi.org/10.13182/NSE127-36· OSTI ID:562084

Turner, S A ^[1]; Larsen, E W ^[2]

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1. Los Alamos National Lab., NM (United States)
2. Univ. of Michigan, Ann Arbor, MI (United States). Dept. of Nuclear Engineering and Radiological Sciences

The performance of the local importance function transform (LIFT) method for several three-dimensional, linearly anisotropic-scattering, one-group, and multigroup transport problems is demonstrated. In these problems, the LIFT method is shown to be more efficient than the AVATAR scheme, which is one of the most efficient variance reduction techniques currently available in a production Monte Carlo code. For most of the problems considered, the LIFT method produces higher figures of merit than AVATAR, even when the LIFT method is used as a black box.

• Sponsoring Organization: USDOE, Washington, DC (United States)
• DOE Contract Number: W-7405-ENG-36
• OSTI ID: 562084
• Journal Information: Nuclear Science and Engineering, Journal Name: Nuclear Science and Engineering Journal Issue: 1 Vol. 127; ISSN NSENAO; ISSN 0029-5639
• Country of Publication: United States
• Language: English

Related Subjects

66 PHYSICS
ADJOINT DIFFERENCE METHOD
CALCULATION METHODS
MONTE CARLO METHOD
MULTIGROUP THEORY
THREE-DIMENSIONAL CALCULATIONS