Typel, Stefan (2023)
Lagrange-Mesh Method for Deformed Nuclei With Relativistic Energy Density Functionals.
In: Frontiers in Physics, 2018, 6
doi: 10.26083/tuprints-00016218
Article, Secondary publication, Publisher's Version
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Item Type: | Article |
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Type of entry: | Secondary publication |
Title: | Lagrange-Mesh Method for Deformed Nuclei With Relativistic Energy Density Functionals |
Language: | English |
Date: | 8 December 2023 |
Place of Publication: | Darmstadt |
Year of primary publication: | 2018 |
Place of primary publication: | Lausanne |
Publisher: | Frontiers Media S.A. |
Journal or Publication Title: | Frontiers in Physics |
Volume of the journal: | 6 |
Collation: | 18 Seiten |
DOI: | 10.26083/tuprints-00016218 |
Corresponding Links: | |
Origin: | Secondary publication DeepGreen |
Abstract: | The application of relativistic energy density functionals to the description of nuclei leads to the problem of solving self-consistently a coupled set of equations of motion to determine the nucleon wave functions and meson fields. In this work, the Lagrange-mesh method in spherical coordinates is proposed for numerical calculations. The essential field equations are derived from the relativistic energy density functional and the basic principles of the Lagrange-mesh method are delineated for this particular application. The numerical accuracy is studied for the case of a deformed relativistic harmonic oscillator potential with axial symmetry. Then the method is applied to determine the point matter distributions and deformation parameters of self-conjugate even-even nuclei from ⁴He to ⁴⁰Ca. |
Uncontrolled Keywords: | Lagrange-mesh method, relativistic energy density functional, density-dependent couplings, deformed nuclei, relativistic harmonic oscillator, Dirac equation |
Status: | Publisher's Version |
URN: | urn:nbn:de:tuda-tuprints-162187 |
Classification DDC: | 500 Science and mathematics > 530 Physics |
Divisions: | 05 Department of Physics > Institute of Nuclear Physics |
Date Deposited: | 08 Dec 2023 14:47 |
Last Modified: | 15 Dec 2023 10:38 |
SWORD Depositor: | Deep Green |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/16218 |
PPN: | 513968733 |
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