Shape transitions in odd-mass γ-soft nuclei within the interacting boson-fermion model based on the Gogny energy density functional

K. Nomura, R. Rodríguez-Guzmán, and L. M. Robledo
Phys. Rev. C 96, 064316 – Published 20 December 2017

Abstract

The interacting boson-fermion model (IBFM), with parameters determined from the microscopic Hartree-Fock-Bogoliubov (HFB) approximation, based on the parametrization D1M of the Gogny energy density functional, is employed to study the structural evolution in odd-mass γ-soft nuclei. The deformation energy surfaces of even-even nuclei, single-particle energies, and occupation probabilities of the corresponding odd-mass systems have been obtained within the constrained HFB approach. Those building blocks are then used as a microscopic input to build the IBFM Hamiltonian. The coupling constants of the boson-fermion interaction terms are taken as free parameters, fitted to reproduce experimental low-lying spectra. The diagonalization of the IBFM Hamiltonian provides the spectroscopic properties for the studied odd-mass nuclei. The procedure has been applied to compute low-energy excitation spectra and electromagnetic transition rates, in the case of the γ-soft odd-mass systems Ba129137, Xe127135, La129137, and Cs127135. The calculations provide a reasonable agreement with the available experimental data and agree well with previous results based on the relativistic mean-field approximation.

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  • Received 11 October 2017

DOI:https://doi.org/10.1103/PhysRevC.96.064316

©2017 American Physical Society

Physics Subject Headings (PhySH)

Nuclear Physics

Authors & Affiliations

K. Nomura1,2, R. Rodríguez-Guzmán3, and L. M. Robledo4,5

  • 1Physics Department, Faculty of Science, University of Zagreb, HR-10000 Zagreb, Croatia
  • 2Center for Computational Sciences, University of Tsukuba, Tsukuba 305-8577, Japan
  • 3Physics Department, Kuwait University, 13060 Kuwait, Kuwait
  • 4Departamento de Física Teórica, Universidad Autónoma de Madrid, E-28049 Madrid, Spain
  • 5Center for Computational Simulation, Universidad Politécnica de Madrid, Campus de Montegancedo, Boadilla del Monte, 28660 Madrid, Spain

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Issue

Vol. 96, Iss. 6 — December 2017

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