S. De Baerdemacker
Phase transitions versus shape coexistence
Abstract
In the present paper, we discuss the differences that underlie a topic of current intensive research and debate, e.g., the appearance of phase transitions and shape coexistence in atomic nuclei. Besides a formulation of the basic differences, we discuss on one hand some typical examples of shape coexistence (near the Sn and Pb closed shell regions) and, on the other hand, of phase transitions. The present discussion should allow a more transparent way to analyze nuclear structure changes in particular mass regions.
Solution of the Bohr Hamiltonian for soft triaxial nuclei
Abstract
The Bohr-Mottelson model is solved for a generic soft triaxial nucleus, separating the Bohr Hamiltonian exactly and using a number of different model potentials: a displaced harmonic oscillator in γ, which is solved with an approximated algebraic technique; and Coulomb/Kratzer, harmonic/Davidson, and infinite square-well potentials in β, which are solved exactly. In each case we derive analytic expressions for the eigenenergies, which are then used to calculate energy spectra. Here we study the chain of osmium isotopes and compare our results with experimental information and previous calculations.
A primal-dual semidefinite programming algorithm tailored to the variational determination of the two-body density matrix
Abstract
The quantum many-body problem can be rephrased as a variational determination of the two-body reduced density matrix, subject to a set of N-representability constraints. The mathematical problem has the form of a semidefinite program. We adapt a standard primal–dual interior point algorithm in order to exploit the specific structure of the physical problem. In particular the matrix-vector product can be calculated very efficiently. We have applied the proposed algorithm to a pairing-type Hamiltonian and studied the computational aspects of the method. The standard N-representability conditions perform very well for this problem.
Keywords: Density matrix; Variational; Semidefinite programming