Issue |
EPJ Web Conf.
Volume 302, 2024
Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo (SNA + MC 2024)
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|
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Article Number | 07013 | |
Number of page(s) | 11 | |
Section | High Performance Computing for Nuclear Data Processing – Benchmarking | |
DOI | https://doi.org/10.1051/epjconf/202430207013 | |
Published online | 15 October 2024 |
https://doi.org/10.1051/epjconf/202430207013
The road to a modernized NJOY
1 Los Alamos National Laboratory, XCP-5 Materials and Physical Data, Los Alamos, United States
2 Los Alamos National Laboratory, XCP-3 Monte Carlo Methods, Codes & Applications, Los Alamos, United States
* Corresponding author: wim@lanl.gov
Published online: 15 October 2024
The modernized version of the NJOY Nuclear Data Processing System is being built from a series of components that enable the traditional work required of the production version of NJOY while also providing a much more interactive user experience through a modern interface. This new version of NJOY is being developed in C++. Python bindings on top of the C++ interface are provided as well. Standard Python packages such as Matplotlib, NumPy or SciPy can thus be seamlessly integrated with NJOY components. We distinguish two component types: format components such as ENDFtk and ACEtk that read and write formatted nuclear data and processing components such as scion which provides many of the common operations needed during processing of nuclear data. The backbone of the modernized NJOY is dryad which provides a format agnostic nuclear data interface that insulates the modernized processing components and modules from the various data formats that NJOY needs to serve.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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