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Axial asymmetry in the IVBM

  • H. G. GanevEmail author
Regular Article - Theoretical Physics

Abstract.

The dynamical symmetry limit of the two-fluid Interacting Vector Boson Model (IVBM), defined through the chain \( Sp(12,R) \supset U(3,3) \supset U_{p}(3) \otimes \overline{U_{n}(3)} \supset SU^{\ast}(3) \supset SO(3)\) , is considered and applied for the description of nuclear collective spectra exhibiting axially asymmetric features. The effect of the introduction of a Majorana interaction to the \( SU^{\ast}(3)\) model Hamiltonian on the \( \gamma\) -band energies is studied. The theoretical predictions are compared with the experimental data for 192Os , 190Os , and 112Ru isotopes. It is shown that by taking into account the full symplectic structures in the considered dynamical symmetry of the IVBM, the proper description of the energy spectra and the \( \gamma\) -band energy staggering of the nuclei under considerations can be achieved. The obtained results show that the potential energy surfaces for the following two nuclei 192Os and 112Ru , possess almost \( \gamma\) -flat potentials with very shallow triaxial minima, suggesting a more complex and intermediate situation between \( \gamma\) -rigid and \( \gamma\) -unstable structures. Additionally, the absolute \( B(E2)\) intraband transition probabilities between the states of the ground-state band and \( \gamma\) band, as well as the \( B(M1)\) interband transition probabilities between the states of the ground and \( \gamma\) bands for the two nuclei 192Os and 190Os are calculated and compared with experiment and for the \( B(E2)\) values with the predictions of some other collective models incorporating the \( \gamma\) -rigid or \( \gamma\) -unstable structures. The obtained results agree well with the experimental data and reveal the relevance of the used dynamical symmetry of IVBM in the description of nuclei exhibiting axially asymmetric features in their spectra.

Keywords

Dynamical Symmetry Collective Model Asymmetric Feature Doublet Structure Staggering Pattern 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© SIF, Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Joint Institute for Nuclear ResearchDubna, Moscow RegionRussia

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