Self-Consistent Separable Rpa for Skyrme Forces: Giant Resonances in Axial Nuclei
V. O. Nesterenko, W. Kleinig, J. Kvasil, P. Vesely, P. -G. Reinhard, D. S. Dolci
Abstract
We formulate the self-consistent separable random-phase-approximation (SRPA) method and specify it for Skyrme forces with pairing for the case of axially symmetric deformed nuclei. The factorization of the residual interaction allows to avoid diagonalization of high-rank RPA matrices, which dramatically reduces the computational expense. This advantage is crucial for the systems with a huge configuration space, first of all for deformed nuclei. SRPA takes self-consistently into account the contributions of both time-even and time-odd Skyrme terms as well as of the Coulomb force and pairing. The method is implemented to description of isovector E1 and isoscalar E2 giant resonances in a representative set of deformed nuclei: 154Sm, 238U, and 254No. Four different Skyrme parameterizations (SkT6, SkM*, SLy6, and SkI3) are employed to explore dependence of the strength distributions on some basic characteristics of the Skyrme functional and nuclear matter. In particular, we discuss the role of isoscalar and isovector effective masses and their relation to time-odd contributions. High sensitivity of the right flank of E1 resonance to different Skyrme forces and the related artificial structure effects are analyzed.
Create a lesson
Related papers
Scale Invariance and Compact Star Matter
Hyun Kyu Lee, Won-Gi Paeng
Optimizing artificial neural networks for dipole strength predictions in light nuclei
Tim Egert, Weiguang Jiang, Sonia Bacca
Coupled-channel scattering from artificial confinement
Tafat Weiss Attia, Itay Horin, Betzalel Bazak
From twelve to three active qubits: Ancilla-recycled rodeo filtering for trapped neutron-proton scattering
Myeong-Hwan Mun, Jubin Park, Myung-Ki Cheoun et al.
Single-particle potentials in asymmetric nuclear matter within the LOCV framework
Zahra Ziarati, Hamidreza Moshfegh
Frontier Questions and Emerging Directions in Nuclear Science and Technology
Yu-Gang Ma