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Communication Dans Un Congrès Année : 2024

PyDrag, A User-Friendly Approach to Dragon Deterministic Code

Vivian Salino

Résumé

DRAGON is a deterministic code for neutron transport and, more generally, for nuclear reactor simulation. It is completely open-source from the processing of nuclear data evaluations to the simulation of full cores, and therefore without equivalent in the open world. It is powerful, fast and versatile. However, this flexibility comes at a price: it is an expert code, and its use requires constant learning of the underlying methods. The proposed PyDrag software is a complementary tool, facilitating its use to cover a rather common need: the simulation of pressurized water reactors. Its simplicity derives from the use of the Python language and also a pursuit of the highest minimalism in the interface offered to the user: a simple case can be described in less than 30 lines, based on information directly available in typical industrial or scientific documentation. Potential users are in fields related to nuclear reactor physics, encouraging interdisciplinarity: nuclear data, fuel cycle and reactor physics experts and analysts (fuel, thermal-hydraulics), etc. Like DRAGON, PyDrag is open source and available today.
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Dates et versions

irsn-04547508 , version 1 (15-04-2024)
irsn-04547508 , version 2 (16-04-2024)

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Paternité - Pas d'utilisation commerciale - Pas de modification

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  • HAL Id : irsn-04547508 , version 2

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Vivian Salino. PyDrag, A User-Friendly Approach to Dragon Deterministic Code. BEPU2024 - Best Estimate Plus Uncertainty International Conference, May 2024, Lucca, Italy. ⟨irsn-04547508v2⟩

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