Nuclear DFT electromagnetic moments in heavy deformed open-shell odd nuclei
Bonnard, J., Dobaczewski, J., Danneaux, G., & Kortelainen, M. (2023). Nuclear DFT electromagnetic moments in heavy deformed open-shell odd nuclei. Physics Letters B, 843, Article 138014. https://doi.org/10.1016/j.physletb.2023.138014
Published inPhysics Letters B
© 2023 The Author(s). Published by Elsevier B.V. Funded by SCOAP3.
Within the nuclear DFT approach, we determined the magnetic dipole and electric quadrupole moments for paired nuclear states corresponding to the proton (neutron) quasiparticles blocked in the π11/2− (ν13/2+) intruder configurations. We performed calculations for all deformed open-shell odd nuclei with 63 ≤ Z ≤ 82 and 82 ≤ N ≤ 126. Time-reversal symmetry was broken in the intrinsic reference frame and self-consistent shape and spin core polarizations were established. We determined spectroscopic moments of angular-momentum-projected wave functions and compared them with available experimental data. We obtained good agreement with data without using effective g-factors or effective charges in the dipole or quadrupole operators, respectively. We also showed that the intrinsic magnetic dipole moments, or those obtained for conserved intrinsic time-reversal symmetry, do not represent viable approximations of the spectroscopic ones.
Dataset(s) related to the publicationhttps://webfiles.york.ac.uk/HFODD/Projects/GadLead/
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Related funder(s)Academy of Finland
Funding program(s)Academy Project, AoF
Additional information about fundingThis work was partially supported by the STFC Grant Nos. ST/P003885/1 and ST/V001035/1, by the Polish National Science Centre under Contract No. 2018/31/B/ST2/02220, by a Leverhulme Trust Research Project Grant, and by the Academy of Finland under the Academy Project No. 339243. We acknowledge the CSC-IT Center for Science Ltd., Finland, for the allocation of computational resources. This project was partly undertaken on the Viking Cluster, which is a high performance compute facility provided by the University of York. We are grateful for computational support from the University of York High Performance Computing service, Viking and the Research Computing team. ...
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