A Computationally Efficient Moment-Preserving Monte Carlo Electron Transport Method with Implementation in Geant4
2015
Abstract This paper presents the theoretical development and numerical demonstration of a moment-preserving Monte Carlo electron transport method. Foremost, a full implementation of the moment-preserving (MP) method within the Geant4 particle simulation toolkit is demonstrated. Beyond implementation details, it is shown that the MP method is a viable alternative to the condensed history (CH) method for inclusion in current and future generation transport codes through demonstration of the key features of the method including: systematically controllable accuracy, computational efficiency, mathematical robustness, and versatility. A wide variety of results common to electron transport are presented illustrating the key features of the MP method. In particular, it is possible to achieve accuracy that is statistically indistinguishable from analog Monte Carlo, while remaining up to three orders of magnitude more efficient than analog Monte Carlo simulations. Finally, it is shown that the MP method can be generalized to any applicable analog scattering DCS model by extending previous work on the MP method beyond analytical DCSs to the partial-wave (PW) elastic tabulated DCS data.
Keywords:
- Computational physics
- Computational chemistry
- Analytical chemistry
- Monte Carlo method for photon transport
- Chemistry
- Dynamic Monte Carlo method
- Kinetic Monte Carlo
- Monte Carlo molecular modeling
- Quasi-Monte Carlo method
- Quantum Monte Carlo
- Monte Carlo method in statistical physics
- Hybrid Monte Carlo
- Computational science
- Monte Carlo method
- Atomic physics
- Monte Carlo integration
- Statistical physics
- Correction
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