New Perspectives on Spectroscopic Factor Quenching from Reactions
C Hebborn1,2, F M Nunes1,3, A E Lovell4
1Facility for Rare Isotope Beams, Michigan State University, East Lansing, Michigan 48824, USA.
Physical Review Letters
|December 10, 2023
Summary
Single-particle strengths in nuclei show a small dependence on neutron-to-proton asymmetry, resolving a long-standing puzzle. This finding, based on consistent analysis of transfer and knockout reactions, highlights the importance of quantifying theoretical uncertainties in nuclear physics.
Area of Science:
- Nuclear Physics
- Quantum Mechanics
- Nuclear Reactions
Background:
- Single-particle strengths reveal nuclear structure and correlations.
- Discrepancies exist between knockout and electron-induced/transfer reaction data regarding asymmetry dependence.
- This puzzle has persisted for two decades.
Purpose of the Study:
- To reconcile conflicting data on single-particle strengths from different nuclear reaction probes.
- To quantify theoretical uncertainties in reaction models using Bayesian analysis.
- To investigate the asymmetry dependence of single-particle strengths.
Main Methods:
- Consistent analysis of one-nucleon transfer and one-nucleon knockout data.
- Bayesian analysis to quantify theoretical uncertainties in nucleon-nucleus effective interactions.
- Comparison of spectroscopic strengths extracted from different reaction types.
Main Results:
- Spectroscopic strengths for loosely bound nucleons agree between transfer and knockout reactions when uncertainties are considered.
- The slope of asymmetry dependence for single-particle strengths is consistent within 1σ for both probes.
- Both reaction types suggest a small asymmetry dependence of single-particle strengths.
Conclusions:
- The long-standing puzzle of inconsistent single-particle strengths is resolved by accounting for theoretical uncertainties.
- Transfer and knockout reactions provide consistent information on nuclear structure.
- The study establishes a lower bound for uncertainties, which are significantly larger than previously estimated.
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