4.5 Article

β-decay feeding intensity distributions of 71,73Ni

Journal

PHYSICAL REVIEW C
Volume 103, Issue 5, Pages -

Publisher

AMER PHYSICAL SOC
DOI: 10.1103/PhysRevC.103.055808

Keywords

-

Funding

  1. National Science Foundation [PHY-1613188, PHY 1102511, PHY 1913554, PHY 1811855, PHY 1430152, PHY 1350234, DUE-1153600, PHY-1306074, DE-SC0018223]
  2. U.S. Department of Energy, National Nuclear Security Administration (Nuclear Science and Security Consortium) [DOE-DE-NA0003906, DE-NA0003180]
  3. U.S. Department of Energy, Office of Science, Office of Nuclear Physics [DE-SC0020451]
  4. Lawrence Livermore National Laboratory [DE-AC52-07NA27344]
  5. European Research Council [637686]
  6. COST (European Cooperation in Science and Technology) [CA16117]

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This paper presents the P-decay feeding intensity distribution and Gamow-Teller transition strength distribution of Ni-71,73, measured using total absorption spectroscopy. The experimental results provide sensitive constraints for theoretical models and aid in future r-process studies in astrophysics.
This paper presents the P-decay feeding intensity distribution and Gamow-Teller transition strength distribution of Ni-71(,)73. These quantities were measured using the technique of total absorption spectroscopy at the National Superconducting Cyclotron Laboratory with the Summing NaI(T1) detector. These measurements provide sensitive constraints to theoretical models used to predict beta-decay properties far from stability for astrophysical applications. Specifically, for the astrophysical r process, the majority of the involved nuclei are not accessible by current facilities, and the nuclear input is mainly provided by theory. The present work reports on two neutron-rich nickel isotopes in the region where the weak r process is expected to be relevant in stellar nucleosynthesis. The experimental results are compared to two theoretical models, namely the shell model and the quasiparticle random-phase approximation, to help further refine theoretical calculations and aid in future r-process studies.

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