A geometry-independent fine-mesh-based Monte Carlo importance generator
- North Carolina State Univ., Raleigh, NC (United States)
A new importance map approach for Monte Carlo simulation that can be used in an adaptive fashion has been identified and developed. It is based on using a mesh-based system of weight windows that are independent of any physical geometric cells. It consists of an importance map generator and a splitting and Russian roulette algorithm for a mesh-based weight windows game that is used in an iterative fashion to obtain increasingly efficient results. The general purpose Monte Carlo code MCNP is modified to incorporate this new mesh-based importance map generator and matching weight window technique for variance reduction. Two nuclear well logging problems--one for neutrons and the other for gamma rays--are used to test the new importance map generator. Results show that the new generator is able to produce four to six times larger figures of merit than MCNP`s physical geometry cell-based importance map generator. More importantly, the superior user friendliness of this new mesh-based generator makes variance reduction easy to accomplish.
- OSTI ID:
- 449586
- Journal Information:
- Nuclear Science and Engineering, Vol. 125, Issue 2; Other Information: PBD: Feb 1997
- Country of Publication:
- United States
- Language:
- English
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