A computationally efficient moment-preserving Monte Carlo electron transport method with implementation in Geant4
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. Lastly, 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.
- Authors:
-
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Univ. of New Mexico, Albuquerque, NM (United States)
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Publication Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1512911
- Alternate Identifier(s):
- OSTI ID: 1422674
- Report Number(s):
- SAND-015-7698J
Journal ID: ISSN 0168-583X; 665169
- Grant/Contract Number:
- AC04-94AL85000
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms
- Additional Journal Information:
- Journal Volume: 359; Journal Issue: C; Journal ID: ISSN 0168-583X
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; Electron transport; Moment preservation; Partial-wave differential cross sections; Monte Carlo simulation
Citation Formats
Dixon, David A., Prinja, Anil K., and Franke, Brian C. A computationally efficient moment-preserving Monte Carlo electron transport method with implementation in Geant4. United States: N. p., 2015.
Web. doi:10.1016/j.nimb.2015.07.009.
Dixon, David A., Prinja, Anil K., & Franke, Brian C. A computationally efficient moment-preserving Monte Carlo electron transport method with implementation in Geant4. United States. https://doi.org/10.1016/j.nimb.2015.07.009
Dixon, David A., Prinja, Anil K., and Franke, Brian C. Fri .
"A computationally efficient moment-preserving Monte Carlo electron transport method with implementation in Geant4". United States. https://doi.org/10.1016/j.nimb.2015.07.009. https://www.osti.gov/servlets/purl/1512911.
@article{osti_1512911,
title = {A computationally efficient moment-preserving Monte Carlo electron transport method with implementation in Geant4},
author = {Dixon, David A. and Prinja, Anil K. and Franke, Brian C.},
abstractNote = {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. Lastly, 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.},
doi = {10.1016/j.nimb.2015.07.009},
journal = {Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms},
number = C,
volume = 359,
place = {United States},
year = {Fri Jul 24 00:00:00 EDT 2015},
month = {Fri Jul 24 00:00:00 EDT 2015}
}
Web of Science
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