2024 MCATK Status

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.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-09-03
DOI
https://doi.org/10.1051/epjn/2025035/pdf
Primary Topic
Nuclear reactor physics and engineering
Type
article
Field-Weighted Citation Impact
0.00
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article

2024 MCATK Status

Springer Link (Chiba Institute of Technology)
Nuclear reactor physics and engineering
article

2024 MCATK Status

article en

Abstract

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.

Springer Link (Chiba Institute of Technology)
Industry, innovation and infrastructure
Openalex Percentile: Top 26%
Nuclear reactor physics and engineering
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2024 MCATK Status · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS