Particle tracking acceleration via signed distance fields in directaccelerated geometry Monte Carlo
Computeraided design (CAD)based Monte Carlo radiation transport is of value to the nuclear engineering community for its ability to conduct transport on highfidelity models of nuclear systems, but it is more computationally expensive than native geometry representations. This work describes the adaptation of a rendering data structure, the signed distance field, as a geometric query tool for accelerating CADbased transport in the directaccelerated geometry Monte Carlo toolkit. Demonstrations of its effectiveness are shown for several problems. The beginnings of a predictive model for the data structure's utilization based on various problem parameters is also introduced.
 Authors:

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 Univ. of Wisconsin, Madison, WI (United States). CNERG Research Group
 Publication Date:
 Grant/Contract Number:
 FG0299ER54513; SC0017122; NRCHQ8414G0030
 Type:
 Accepted Manuscript
 Journal Name:
 Nuclear Engineering and Technology
 Additional Journal Information:
 Journal Volume: 49; Journal Issue: 6; Journal ID: ISSN 17385733
 Publisher:
 Korean Nuclear Society
 Research Org:
 Univ. of Wisconsin, Madison, WI (United States)
 Sponsoring Org:
 USDOE Office of Science (SC), Fusion Energy Sciences (FES) (SC24); Nuclear Regulatory Commission (NRC) (United States)
 Country of Publication:
 United States
 Language:
 English
 Subject:
 73 NUCLEAR PHYSICS AND RADIATION PHYSICS; Monte Carlo; radiation transport; CAD; DAGMC
 OSTI Identifier:
 1425791
Shriwise, Patrick C., Davis, Andrew, Jacobson, Lucas J., and Wilson, Paul P. H.. Particle tracking acceleration via signed distance fields in directaccelerated geometry Monte Carlo. United States: N. p.,
Web. doi:10.1016/j.net.2017.08.008.
Shriwise, Patrick C., Davis, Andrew, Jacobson, Lucas J., & Wilson, Paul P. H.. Particle tracking acceleration via signed distance fields in directaccelerated geometry Monte Carlo. United States. doi:10.1016/j.net.2017.08.008.
Shriwise, Patrick C., Davis, Andrew, Jacobson, Lucas J., and Wilson, Paul P. H.. 2017.
"Particle tracking acceleration via signed distance fields in directaccelerated geometry Monte Carlo". United States.
doi:10.1016/j.net.2017.08.008. https://www.osti.gov/servlets/purl/1425791.
@article{osti_1425791,
title = {Particle tracking acceleration via signed distance fields in directaccelerated geometry Monte Carlo},
author = {Shriwise, Patrick C. and Davis, Andrew and Jacobson, Lucas J. and Wilson, Paul P. H.},
abstractNote = {Computeraided design (CAD)based Monte Carlo radiation transport is of value to the nuclear engineering community for its ability to conduct transport on highfidelity models of nuclear systems, but it is more computationally expensive than native geometry representations. This work describes the adaptation of a rendering data structure, the signed distance field, as a geometric query tool for accelerating CADbased transport in the directaccelerated geometry Monte Carlo toolkit. Demonstrations of its effectiveness are shown for several problems. The beginnings of a predictive model for the data structure's utilization based on various problem parameters is also introduced.},
doi = {10.1016/j.net.2017.08.008},
journal = {Nuclear Engineering and Technology},
number = 6,
volume = 49,
place = {United States},
year = {2017},
month = {8}
}