The data of the article: Mechanisms of mirror energy difference for states exhibiting Thomas-Ehrman shift: Gamow shell model case studies of 18Ne/18O and 19Na/19O
Abstract
The mirror energy difference (MED) of the mirror state, especially for states bearing the Thomas-Ehrman shift, serves as a sensitive probe of mirror symmetry breaking. We employ the Gamow shell model, which includes the inter-nucleon correlation and continuum coupling, to investigate the MED for sd-shell nuclei by taking 18Ne/18O and 19Na/19O as examples. Our GSM provides good descriptions for the excitation energies and MEDs for the 18Ne/18O and 19Na/19O. Moreover, our calculations also reveal that the large MED of the mirror states is caused by the significant occupation of the weakly bound or unbound s1/2 waves, giving the radial density distribution of the state in the proton-rich nucleus more extended than that of mirror states in deeply-bound neutron-rich nuclei. Moreover, our GSM calculation shows that the contribution of Coulomb is different for the low-lying states in proton-rich nuclei, which significantly contributes to MEDs of mirror states, which is well-recognized. Furthermore, our GSM calculation points out that the contributions of the nucleon-nucleon interaction are different for the mirror state, especially for the state of proton-rich nuclei bearing the Thomas-Ehrman shift, which also contributes to the significant mirror symmetry breaking with large MED. We conducted research and wrote the article: "Mechanisms of mirror energy difference for states exhibiting Thomas-Ehrman shift: Gamow shell model case studies of 18Ne/18O and 19Na/19O". This article was accepted with the Nuclear Science and Techniques. The data in the article is available here, and a description of the data corresponding to the images in the article can be found in 'readme.txt'.
Fields of Study & Subjects
Nuclear physics research studies
Astronomical and nuclear sciences
Quantum Chromodynamics and Particle Interactions
Publication details
- Journal / source
- ScienceDB
- Publication date
- 8 January 2026
- Language
- EN
- Document type
- Dataset