Macroscopic-microscopic model of nuclear potential energy.Implementation in the CONRAD code - Archive ouverte HAL
Communication Dans Un Congrès Année : 2017

Macroscopic-microscopic model of nuclear potential energy.Implementation in the CONRAD code

Résumé

To improve the evaluation of nuclear observables, refined models are to be used more and more as underlying analysis tools. Fission is a complex process and is the less accurately described with current models.Standard evaluation models rely on the Hill-Wheeler formalism for the fission transmission coefficient, which in turns is based on phenomenological parameters reflecting the fission barrier heights and widths. To reducethe weight of phenomenology in the evaluation process, nuclear structure models are expected to embed moreand more microscopic descriptions. As models are rarely exact, evaluators are often compelled to tune model parameters so that observables can be properly reproduced. Related computation time can thus be a major hindrance to the use of advanced models in evaluation as final adjustments are expected to remain necessary.For this reason, a macroscopic-microscopic model has been selected to replace the current phenomenological description of fission barriers. The Finite-Range Liquid-Drop Model (FRLDM) has been implemented in theCONRAD evaluation code and its present implementation shows remarkable consistency with experimental and published benchmark data. The CONRAD code can be used to provide expectation values but also related uncertainties and covariance data. Sensitivity of FRLDM parameters and the correlation matrix between these parameters have been obtained so that further uncertainty propagation on barrier heights can be carried out in the near future.
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Dates et versions

hal-02417748 , version 1 (18-12-2019)

Identifiants

  • HAL Id : hal-02417748 , version 1

Citer

P. Tamagno, O. Bouland, O. Serot, P. Moller. Macroscopic-microscopic model of nuclear potential energy.Implementation in the CONRAD code. International Conference on Nuclear Data for Science and Technology (ND2016), Sep 2016, Bruges, Belgium. ⟨hal-02417748⟩

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