Individual low-energy E1 toroidal and compression states in light nuclei: deformation effect, spectroscopy and interpretation
arXiv:1809.01097 · doi:10.1051/epjconf/201819403005
Abstract
The existence of individual low-energy E1 toroidal and compression states (TS and CS) in Mg was predicted recently in the framework of quasiparticle random-phase-approximation (QRPA) model with Skyrme forces. It was shown that the strong axial deformation of Mg is crucial to downshift the toroidal strength to the low-energy region and thus make the TS the lowest E1(K=1) dipole state. In this study, we explain this result by simple mean-field arguments. Comparing TS in two strongly axial nuclei, Mg and Ne, we show that the lowest TS is not not a universal phenomenon but rather a peculiarity of Mg. The spectroscopy of TS and CS is analyzed and some additional interpretation of these states is suggested.
arXiv comment6 pages, 8 figures, 2 tables. Submitted to proceedings of International Conference on Nuclear Structure and Related Topics - NSRT18 (Bulgaria, Bourgas, June 3-9, 2018). The paper was resubmitted to enlarge the reference list
References in corpus (13)
- Exotic modes of excitation in atomic nuclei far from stability
- On dipole compression modes in nuclei
- Toroidal dipole resonances in the relativistic random phase approximation
- On the toroidal nature of the low-energy E1 mode
- General Treatment of Vortical, Toroidal, and Compression Modes
- TDDFT with Skyrme Forces: Effect of Time-Odd Densities on Electric Giant Resonances
- Pairing and deformation effects in nuclear excitation spectra
- Individual low-energy toroidal dipole state in Mg
- Nuclear vorticity in isoscalar E1 modes: Skyrme-RPA analysis
- Isoscalar dipole coherence at low energies and forbidden E1 strength
- Toroidal resonance: relation to pygmy mode, vortical properties and anomalous deformation splitting
- Toroidal, compressive, and properties of low-energy dipole modes in Be
- Deformation effects in toroidal and compression dipole excitations of Yb: Skyrme-RPA analysis