| Issue |
EPJ Web of Conf.
Volume 284, 2023
15th International Conference on Nuclear Data for Science and Technology (ND2022)
|
|
|---|---|---|
| Article Number | 16006 | |
| Number of page(s) | 3 | |
| Section | Computational Techniques and Machine Learning | |
| DOI | https://doi.org/10.1051/epjconf/202328416006 | |
| Published online | 26 May 2023 | |
https://doi.org/10.1051/epjconf/202328416006
FLUKAVAL – A validation framework for the FLUKA radiation transport Monte Carlo code
1 CERN, European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
2 Karlsruher Institut für Technologie (KIT), Kaiserstraße 12, 76131 Karlsruhe, Germany
* e-mail: markus.widorski@cern.ch
Published online: 26 May 2023
The FLUKA general purpose radiation transport Monte Carlo code being developed and maintained by CERN (https://fluka.cern) has adopted modern software development standards including a formal quality assurance process. This includes the FLUKAVAL testing framework that takes into account the specific needs of testing a Monte Carlo radiation transport simulation code. FLUKAVAL allows to submit, process and validate a large number of test cases for a new FLUKA version and compare the results against previous versions and reference data. It produces a quantitative and qualitative comparison and compiles a summary report over all selected test cases, which is reviewed before the new FLUKA version is released. The overall validation requires only few manual steps and makes use of large computing clusters to run simulations in parallel.
© The Authors, published by EDP Sciences, 2023
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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