A Bayesian analysis of nuclear deformation properties with Skyrme energy functionals
| Autor: | Nicolas Schunck, K. R. Quinlan, J. Bernstein |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Physics
Nuclear and High Energy Physics Nuclear Theory 010308 nuclear & particles physics Fission FOS: Physical sciences 01 natural sciences Nuclear Theory (nucl-th) symbols.namesake Nuclear fission 0103 physical sciences Physics::Atomic and Molecular Clusters symbols Nuclear force Neutron Density functional theory Statistical physics Nuclear Experiment 010306 general physics Gaussian process Nuclear density Energy functional |
| Zdroj: | Journal of Physics G: Nuclear and Particle Physics. 47:104002 |
| ISSN: | 1361-6471 0954-3899 |
| DOI: | 10.1088/1361-6471/aba4fa |
| Popis: | In spite of numerous scientific and practical applications, there is still no comprehensive theoretical description of the nuclear fission process based solely on protons, neutrons and their interactions. The most advanced simulations of fission are currently carried out within nuclear density functional theory (DFT). In spite of being fully quantum-mechanical and rooted in the theory of nuclear forces, DFT still depends on a dozen or so parameters characterizing the energy functional. Calibrating these parameters on experimental data results in uncertainties that must be quantified for applications. This task is very challenging because of the high computational cost of DFT calculations for fission. In this paper, we use Gaussian processes to build emulators of DFT models in order to quantify and propagate statistical uncertainties of theoretical predictions for a range of nuclear deformations relevant to describing the fission process. Comment: 18 pages, 7 figures, 4 tables, 46 references |
| Databáze: | OpenAIRE |
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