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Lagrange-Mesh Method for Deformed Nuclei With Relativistic Energy Density Functionals

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
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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