| Issue |
EPJ Nuclear Sci. Technol.
Volume 11, 2025
Status and advances of Monte Carlo codes for particle transport simulation
|
|
|---|---|---|
| Article Number | 49 | |
| Number of page(s) | 10 | |
| DOI | https://doi.org/10.1051/epjn/2025035 | |
| Published online | 03 September 2025 | |
https://doi.org/10.1051/epjn/2025035
Regular Article
2024 MCATK Status
1
Los Alamos National Laboratory, P.O. Box 1663, Los Alamos, NM, USA
2
Currently Nvidia, Santa Clara, CA, USA
3
Currently IAEA, Vienna, Austria
* e-mail: jsweezy@lanl.gov
** e-mail: tpburke@lanl.gov
Received:
22
November
2024
Received in final form:
15
April
2025
Accepted:
17
April
2025
Published online: 3 September 2025
The Monte Carlo Application Toolkit (MCATK) is a C++ component-based Monte Carlo particle transport capability that has been in development by Los Alamos National Laboratory (LANL) since 2008. This paper presents an update on MCATK’s current capabilities, focusing on notable advancements made since the previous status reports (T. Adams, S. Nolen, J. Sweezy, A. Zukaitis, J. Campbell, T. Goorley, S. Greene, R. Aulwes, Ann. Nucl. Energy 82, 41 (2015), T.J. Trahan, T.R. Adams, R.T. Aulwes, S.D. Nolen, J.E. Sweezy, C.J. Werner, Monte Carlo Application ToolKit (MCATK): Advances for 2017, in International Conference on Mathematics & Computational Methods Applied to Nuclear Science & Engineering (Jeju, Korea, 2017). Key enhancements include a Python interface, photon physics, expanded geometry modeling options, improved tallies, and a broader selection of source definitions. Additionally, MCATK now offers stochastic system solvers, shared memory parallelism, and GPU acceleration of ray-tracing tallies. These enhancements have significantly expanded MCATK’s functionality.
© J. Sweezy et al., Published by EDP Sciences, 2025
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