penORNL: a parallel Monte Carlo photon and electron transport package using PENELOPE
The parallel Monte Carlo photon and electron transport code package penORNL was developed at Oak Ridge National Laboratory to enable advanced scanning electron microscope (SEM) simulations on high-performance computing systems. This paper discusses the implementations, capabilities and parallel performance of the new code package. penORNL uses PENELOPE for its physics calculations and provides all available PENELOPE features to the users, as well as some new features including source definitions specifically developed for SEM simulations, a pulse-height tally capability for detailed simulations of gamma and x-ray detectors, and a modified interaction forcing mechanism to enable accurate energy deposition calculations. The parallel performance of penORNL was extensively tested with several model problems, and very good linear parallel scaling was observed with up to 512 processors. penORNL, along with its new features, will be available for SEM simulations upon completion of the new pulse-height tally implementation.
- Publication Date:
- OSTI Identifier:
- DOE Contract Number:
- Resource Type:
- Resource Relation:
- Conference: Mathematics and Computations (M&C), Supercomputing in Nuclear Applications (SNA) and Monte Carlo (MC) international conference (M&C+SNA+MC 2015), Nashville, TN (United States), 19-23 Apr 2015
- Research Org:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org:
- NNSA USDOE - National Nuclear Security Administration (NNSA)
- Country of Publication:
- United States
- 97 MATHEMATICS AND COMPUTING; 73 NUCLEAR PHYSICS AND RADIATION PHYSICS; P CODES; SCANNING ELECTRON MICROSCOPY; ELECTRONS; MONTE CARLO METHOD; PHOTON TRANSPORT; COMPUTERIZED SIMULATION; ENERGY ABSORPTION; PERFORMANCE; CHARGED-PARTICLE TRANSPORT; ENERGY LOSSES; GAMMA DETECTION; X-RAY DETECTION Monte Carlo; PENELOPE; parallel computing; SEM
Enter terms in the toolbar above to search the full text of this document for pages containing specific keywords.