Variations on a theme by Skyrme: A systematic study of adjustments of model parameters

被引:400
作者
Kluepfel, P. [1 ]
Reinhard, P.-G. [1 ]
Buervenich, T. J. [2 ]
Maruhn, J. A. [3 ]
机构
[1] Univ Erlangen Nurnberg, Inst Theoret Phys 2, D-91058 Erlangen, Germany
[2] Frankfurt Inst Adv Studies, D-60438 Frankfurt, Germany
[3] Goethe Univ Frankfurt, Inst Theoret Phys, D-60438 Frankfurt, Germany
来源
PHYSICAL REVIEW C | 2009年 / 79卷 / 03期
关键词
SELF-CONSISTENT; EFFECTIVE FORCES; SUPERHEAVY; NUCLEI; PARAMETRIZATION; MASS; DENSITY; ISOSPIN; SPIN; HYPERHEAVY;
D O I
10.1103/PhysRevC.79.034310
中图分类号
O57 [原子核物理学、高能物理学];
学科分类号
070202 ;
摘要
We present a survey of the phenomenological adjustment of the parameters of the Skyrme-Hartree-Fock (SHF) model for a self-consistent description of nuclear structure and low-energy excitations. A large sample of reliable input data from nuclear bulk properties (energy, radii, surface thickness) is selected guided by the criterion that ground-state correlations should remain small. Least-squares fitting techniques are used to determine the SHF parameters that accommodate best the given input data. The question of the predictive value of the adjustment is scrutinized by performing systematic variations with respect to chosen nuclear matter properties (incompressibility, effective mass, symmetry energy, and sum-rule enhancement factor). We find that the ground-state data, although representing a large sample, leave a broad range of choices, i.e., a broad range of nuclear matter properties. Information from giant resonances is added to pin down more precisely the open features. We then apply the set of newly adjusted parametrizations to several more detailed observables such as neutron skin, isotope shifts, and super-heavy elements. The techniques of least-squares fitting provide safe estimates for the uncertainties of such extrapolations. The systematic variation of forces allows to disentangle the various influences on a given observable and to estimate the predictive value of the SHF model. The results depend very much on the observable under consideration.
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页数:23
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