| Issue |
EPJ Web Conf.
Volume 302, 2024
Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo (SNA + MC 2024)
|
|
|---|---|---|
| Article Number | 07010 | |
| Number of page(s) | 8 | |
| Section | High Performance Computing for Nuclear Data Processing – Benchmarking | |
| DOI | https://doi.org/10.1051/epjconf/202430207010 | |
| Published online | 15 October 2024 | |
https://doi.org/10.1051/epjconf/202430207010
Design of a new physics database for FLUKA’s next generation
European Organization for Nuclear Research (CERN), Geneva, Switzerland
* e-mail: philippe.schoofs@cern.ch
Published online: 15 October 2024
The physics database used by FLUKA dates back more than thirty years. It relies on legacy data structures that, although efficient, are increasingly complicated to maintain. The inception of a new generation of FLUKA code represents a great opportunity to modernize this database. This major upgrade implements a modularization of the data structures and a simplification of the formats. It comes along with the development of auxiliary scripts permitting extensive data testing and regular updating. Interfaces of the new database with both the existing generation of FLUKA as well as the new one are described, including the hierarchical object-oriented paradigm chosen to access data elements in the modernized codebase. Finally, perspectives are given to the extension of this work in terms of contents and features.
© 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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