Electric dipole polarizability of Ni 58

I. Brandherm, F. Bonaiti, P. Von Neumann-Cosel, S. Bacca, G. Colò, G. R. Jansen, Z. Z. Li, H. Matsubara, Y. F. Niu, P. G. Reinhard, A. Richter, X. Roca-Maza, A. Tamii

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Abstract

The electric dipole strength distribution in Ni58 between 6 and 20 MeV has been determined from proton inelastic scattering experiments at very forward angles at RCNP, Osaka. The experimental data are rather well reproduced by quasiparticle random-phase approximation calculations including vibration coupling, despite a mild dependence on the adopted Skyrme interaction. They allow an estimate of the experimentally inaccessible high-energy contribution above 20 MeV, leading to an electric dipole polarizability αD(Ni58)=3.48(31)fm3. This serves as a test case for recent extensions of coupled-cluster calculations with chiral effective field theory interactions to nuclei with two nucleons on top of a closed-shell system.

Original languageEnglish
Article number024312
JournalPhysical Review C
Volume111
Issue number2
DOIs
StatePublished - Feb 2025

Funding

This work was supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) \u2013 Project-ID 279384907 \u2013 SFB 1245 and through the Cluster of Excellence \u201CPrecision Physics, Fundamental Interactions, and Structure of Matter\u201D (PRISMA+ EXC 2118/1, Project ID 39083149), and by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research and Office of Nuclear Physics, Scientific Discovery through Advanced Computing (SciDAC) program (SciDAC-5 NUCLEI) and Office of Nuclear Physics, under the FRIB Theory Alliance Award No. DE-SC0013617. This research used resources of the Oak Ridge Leadership Computing Facility located at Oak Ridge National Laboratory, which is supported by the Office of Science of the Department of Energy under Contract No. DE-AC05-00OR22725. Computer time was provided by the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program and by the supercomputer Mogon at Johannes Gutenberg Universit\u00E4t Mainz. X.R.-M. acknowledges support by Grant No. PID2020-118758GB-I00 funded by MCIN/AEI/10.13039/501100011033; by the \u201CUnit of Excellence Mar\u00EDa de Maeztu 2020\u20132023\u201D award to the Institute of Cosmos Sciences, Grant No. CEX2019-000918-M funded by MCIN/AEI/10.13039/501100011033; and by the Generalitat de Catalunya, Grant No. 2021SGR01095. Y.F.N. acknowledges funding from National Key Research and Development (R&D) Program under Grant No. 2021YFA1601500 and Natural Science Foundation of China under Grant No. 12075104. P.-G.R. acknowledges supply of computing resources from the RRZE of the Friedrich-Alexander university Erlangen/N\u00FCrnberg. This work was supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) \u2013 Project-ID 279384907 \u2013 SFB 1245 and through the Cluster of Excellence \u201CPrecision Physics, Fundamental Interactions, and Structure of Matter\u201D ( EXC 2118/1, Project ID 39083149), and by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research and Office of Nuclear Physics, Scientific Discovery through Advanced Computing (SciDAC) program (SciDAC-5 NUCLEI) and Office of Nuclear Physics, under the FRIB Theory Alliance Award No. DE-SC0013617. This research used resources of the Oak Ridge Leadership Computing Facility located at Oak Ridge National Laboratory, which is supported by the Office of Science of the Department of Energy under Contract No. DE-AC05-00OR22725. Computer time was provided by the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program and by the supercomputer Mogon at Johannes Gutenberg Universit\u00E4t Mainz. X.R.-M. acknowledges support by Grant No. PID2020-118758GB-I00 funded by MCIN/AEI/10.13039/501100011033; by the \u201CUnit of Excellence Mar\u00EDa de Maeztu 2020\u20132023\u201D award to the Institute of Cosmos Sciences, Grant No. CEX2019-000918-M funded by MCIN/AEI/10.13039/501100011033; and by the Generalitat de Catalunya, Grant No. 2021SGR01095. Y.F.N. acknowledges funding from National Key Research and Development (R&D) Program under Grant No. 2021YFA1601500 and Natural Science Foundation of China under Grant No. 12075104. P.-G.R. acknowledges supply of computing resources from the RRZE of the Friedrich-Alexander university Erlangen/N\u00FCrnberg. This manuscript has been authored, in part, by UTBattelle, LLC, under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the U.S. government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for U.S. government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan .

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