Nuclear energy density optimization: Large deformations

Оптимизация ядерной плотности энергии: большие деформации
W. Nazarewicz, P.‐G. Reinhard, N. Schunck, Stefan M. Wild, M. Kortelainen, J. Sarich, M. V. Stoitsov, Jordan McDonnell
2012-02-08

Hartree-Fock-Bogoliubov theorySkyrme-like energy densityfission barriers (240Pu)large nuclear deformationspounders derivative-free optimization
A new Skyrme-like energy density suitable for studies of strongly elongated nuclei was determined in the framework of the Hartree-Fock-Bogoliubov theory using the recently developed model-based, derivative-free optimization algorithm pounders. A sensitivity analysis at the optimal solution has revealed the importance of states at large deformations in driving the parameterization of the functional. The good agreement with experimental data on masses and separation energies, achieved with the previous parameterization unedf0, is largely preserved. In addition, the new energy density unedf1 gives a much improved description of the fission barriers in ${}^{240}$Pu and neighboring nuclei.
1
A new Skyrme-like energy density functional (unedf1) was optimized for strongly elongated nuclei using the POUNDERS derivative-free algorithm within HFB theory.
2
Sensitivity analysis indicates states at large deformations significantly influence the functional parameterization at the optimal solution.
3
unedf1 largely preserves the good agreement with experimental masses and separation energies achieved by the previous unedf0 parameterization.
4
unedf1 provides a much improved description of fission barriers in 240Pu and neighboring nuclei compared to unedf0.

Skyrme-like nuclear energy density functional (unedf1) for strongly elongated nuclei

Optimization and parameterization of the energy density to describe large-deformation nuclear properties (masses, separation energies, fission barriers) via HFB calculations and sensitivity to large-deformation states

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2012-02-08
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Authors
W. Nazarewicz
P.‐G. Reinhard
N. Schunck
Stefan M. Wild
M. Kortelainen
J. Sarich
M. V. Stoitsov
Jordan McDonnell
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