University of North Texas Digital Library (University of North Texas) · 2000 · 11 citations · 7 references
Open access
Building PerformanceEngineeringWeight WindowsNatural SciencesMonte CarloParticle PhysicsNumerical SimulationRadiation ProtectionComputer EngineeringFormer Mcnp4b TreatmentRadiation TransportSuperimposed MeshMonte Carlo MethodModeling And SimulationMonte Carlo SamplingNeutron TransportNuclear EngineeringMultiscale Modeling
The weight window variance reduction method in the general-purpose Monte Carlo N-Particle radiation transport code MCNPTM has recently been rewritten. In particular, it is now possible to generate weight window importance functions on a superimposed mesh, eliminating the need to subdivide geometries for variance reduction purposes. Our assessment addresses the following questions: (1) Does the new MCNP4C treatment utilize weight windows as well as the former MCNP4B treatment? (2) Does the new MCNP4C weight window generator generate importance functions as well as MCNP4B? (3) How do superimposed mesh weight windows compare to cell-based weight windows? (4) What are the shortcomings of the new MCNP4C weight window generator? Our assessment was carried out with five neutron and photon shielding problems chosen for their demanding variance reduction requirements. The problems were an oil well logging problem, the Oak Ridge fusion shielding benchmark problem, a photon skyshine problem, an air-over-ground problem, and a sample problem for variance reduction.
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MCNP-A General Monte Carlo N-Particle Transport Code
Judith F. Briesmeister · 1993 · 5.1K citations
Engineering, Physics, Novice User +15
Present and future capabilities of MCNP
J.S. Hendricks, K.J. Adams, T.E. Booth et al. · Applied Radiation and Isotopes · 2000 · 37 citations