Issue |
EPJ Web of Conferences
Volume 107, 2016
International Conference on Nuclear Structure and Related Topics (NSRT15)
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Article Number | 03012 | |
Number of page(s) | 6 | |
Section | Nuclear Spectroscopy – Experiment and Theory | |
DOI | https://doi.org/10.1051/epjconf/201610703012 | |
Published online | 19 January 2016 |
https://doi.org/10.1051/epjconf/201610703012
Contraction limits of the proton-neutron symplectic model
Bogoliubov Laboratory of Theoretical Physics, JINR, Dubna, Moscow region, 141980, Russia
a huben@theor.jinr.ru
b Permanent address: Institute of Nuclear Research and Nuclear Energy, Bulgarian Academy of Sciences, Sofia, Bulgaria
Published online: 19 January 2016
The algebraic approach to nuclear structure physics allows a certain microscopic collective motion algebra to be also interpreted on macroscopic level which is achieved in the limit of large representation quantum numbers. Such limits are referred to as macroscopic or hydrodynamic limits and show how a given microscopic discrete system starts to behave like a continuous fluid. In the present paper, two contraction limits of the recently introduced fully microscopic proton-neutron symplectic model (PNSM) with the Sp(12; R) dynamical symmetry algebra are considered. As a result, two simplified macroscopic models of nuclear collective motion are obtained in simple geometrical terms. The first one is the U(6)-phonon model with the semi-direct product structure [HW(21)]U(6), which is shown to be actually an alternative formulation of the original proton-neutron symplectic model in the familiar IBM-terms. The second model which appears in double contraction limit is the two-rotor model with the ROTp(3) ⊗ ROTn(3) ⊃ ROT(3) algebraic structure. The latter, in contrast to the original two-rotor model, is not restricted to the case of two coupled axial rotors. In this way, the second contraction limit of the PNSM, provides the phenomenological two-rotor model with a simple microscopic foundation.
© Owned by the authors, published by EDP Sciences, 2016
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