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Nuclear electro-magnetic dipole modes: Skyrme-RPA predictions on flow patternand estimate of experimental accessibility

Subject Area Nuclear and Elementary Particle Physics, Quantum Mechanics, Relativity, Fields
Term from 2013 to 2015
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 246273472
 
Self-consistent mean-field models with Skyrme forces are reliable tools for describing nuclear structure and dynamics. In the present project, we apply the fully self-consistent Skyrme random - phase - approximation (RPA) models to excitation channels of a particular interest in spherical and deformed nuclei. First, we will continue to analyze the low-energy E1 strength (LES), often denoted as a pygmy dipole resonance. It delivers important information on the nuclear equation of state, particularly in the isovector channel, and the photon cross sections in the low-energy regime are crucial for astrophysical applications. We will concentrate on yet poorly understood but essential LES aspects: i) the impact of nuclear deformation, ii) the correlation with other nuclear observables (e.g. equation of state), and iii) the intrinsic structure of the low energy dipole modes (toroidal versus compressional mode). Special attention will be paid to develop proposals for experimental exploration of LES in inelastic electron scattering and other reactions, using the facilities of Technical University of Darmstadt. Second, we will address E0 modes in spherical and deformed nuclei. The aim is to resolve a yet pending puzzle in the simultaneous description of E0 modes in closed-shell and open-shell nuclei. Third, we will continue our study of magnetic modes. In particular, the spin-flip modes will be considered in both spherical and deformed nuclei. These modes may provide valuable information about the spin-dependent part of the Skyrme functional, (e.g., spin-orbit and tensor terms). In all parts of the project, a large variety of nuclei, stable and exotic (including drip-line and super-heavy), will be covered.
DFG Programme Research Grants
Participating Person Dr. Vladimir Ponomarev
 
 

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