Microscopic model for the collective enhancement of nuclear level densities

Jie Zhao (赵杰), Tamara Nikšić, and Dario Vretenar
Phys. Rev. C 102, 054606 – Published 11 November 2020

Abstract

A microscopic method for calculating nuclear level density (NLD) is developed, based on the framework of energy density functionals. Intrinsic level densities are computed from single-quasiparticle spectra obtained in a finite-temperature self-consistent mean-field (SCMF) calculation that takes into account nuclear deformation, and is specified by the choice of the energy density functional (EDF) and pairing interaction. The total level density is calculated by convoluting the intrinsic density with the corresponding collective level density, determined by the eigenstates of a five-dimensional quadrupole or quadrupole plus octupole collective Hamiltonian. The parameters of the Hamiltonian (inertia parameters, collective potential) are consistently determined by deformation-constrained SCMF calculations using the same EDF and pairing interaction. The model is applied in the calculation of NLDs of Mo94,96,98, Pd106,108, Cd106,112, Dy160,162,164, Er166, and Yb170,172, in comparison with available data. It is shown that the collective enhancement of the intrinsic level density, consistently computed from the eigenstates of the corresponding collective Hamiltonian, leads to total NLDs that are in very good agreement with data over the entire energy range of measured values.

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  • Received 24 August 2020
  • Accepted 30 October 2020

DOI:https://doi.org/10.1103/PhysRevC.102.054606

©2020 American Physical Society

Physics Subject Headings (PhySH)

Nuclear Physics

Authors & Affiliations

Jie Zhao (赵杰)1, Tamara Nikšić2, and Dario Vretenar2,3

  • 1Center for Quantum Computing, Peng Cheng Laboratory, Shenzhen 518055, China
  • 2Physics Department, Faculty of Science, University of Zagreb, Bijenička Cesta 32, Zagreb 10000, Croatia
  • 3State Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing 100871, China

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Issue

Vol. 102, Iss. 5 — November 2020

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