2011/03/31 by N. Schunck, J. Dobaczewski, J. McDonnell +9 · 1 citation
Chemistry · Mathematics · Physics and Astronomy · #Advanced NMR Techniques and Applications #Applied mathematics #Astronomical and nuclear sciences #Cartesian coordinate system #Geometry #Harmonic oscillator #Hartree–Fock method #Mathematical optimization #Mathematics #Nuclear physics research studies #Overdetermined system #Physics #Quantum mechanics #Solver #Unitarity #nucl-th
paper · pdf · doi:10.1016/j.cpc.2011.08.013
published as Comp. Phys. Comm. 183, 166 (2012) · Accepted for publication to Computer Physics Communications. Program files re-submitted to Comp. Phys. Comm. Program Library after correction of several minor bugs
arxiv created 2011/07/08 · openalex publication_date 2011/08/29 · arxiv updated 2015/05/27 · openalex created_date 2016/06/24 · openalex updated_date 2026/08/05
We describe the new version (v2.49t) of the code HFODD which solves the nuclear Skyrme Hartree-Fock (HF) or Skyrme Hartree-Fock-Bogolyubov (HFB) problem by using the Cartesian deformed harmonic-oscillator basis. In the new version, we have implemented the following physics features: (i) the isospin mixing and projection, (ii) the finite temperature formalism for the HFB and HF+BCS methods, (iii) the Lipkin translational energy correction method, (iv) the calculation of the shell correction. A number of specific numerical methods have also been implemented in order to deal with large-scale multi-constraint calculations and hardware limitations: (i) the two-basis method for the HFB method, (ii) the Augmented Lagrangian Method (ALM) for multi-constraint calculations, (iii) the linear constraint method based on the approximation of the RPA matrix for multi-constraint calculations, (iv) an interface with the axial and parity-conserving Skyrme-HFB code HFBTHO, (v) the mixing of the HF or HFB matrix elements instead of the HF fields. Special care has been paid to using the code on massively parallel leadership class computers. For this purpose, the following features are now available with this version: (i) the Message Passing Interface (MPI) framework, (ii) scalable input data routines, (iii) multi-threading via OpenMP pragmas, (iv) parallel diagonalization of the HFB matrix in the simplex breaking case using the ScaLAPACK library. Finally, several little significant errors of the previous published version were corrected.