Abstract
Background: The cluster is a prominent feature, not only in light nuclei but also in heavy nuclei. To study the -particle formation in the mean-field calculation, the localization function has been extensively utilized. However, the localization function does not guarantee the proximity of four different nucleons which is required by the -particle formation. A simple indicator of the proximity is desired. Recently, experimental measurement of the quasifree -knockout reaction for Sn isotopes reveals the cross sections with a monotonic decrease with increasing neutron number. [Science 371, 260 (2021)]. This is interpreted as evidence of the surface formation.
Purpose: We propose a simple and comprehensible quantity to assess the proximity of four nucleons with different spins and isospins. Using this, we examine the recent measurement of -knockout cross sections in Sn isotopes.
Methods: The local -removal strength is proposed to quantify the possibility to form an particle at a specific location inside the nucleus. In addition, it provides the strength of ground and excited states in the residual nuclei after the removal of the particle. To make the calculation feasible, we introduce several approximations, such as point-, mean-field, and no rearrangement approximations. We use the Hartree-Fock-plus-BCS method for the mean-field calculation for Sn isotopes. We also propose another measure, the local probability, which should provide a better correlation with the -knockout cross sections.
Results: The calculation of the local -removal strength is extremely easy in the mean-field model with no rearrangement. For even-even Sn isotopes, the local -removal strengths to the ground state of residual nuclei are almost universal in the nuclear surface region. In contrast, the local probability produces strong neutron number dependence consistent with the experiment.
Conclusions: The local -removal strength and the local probability are easily calculable in the mean-field models. Recent experimental data for Sn isotopes may be explained by a simple model without explicit consideration of correlation.
3 More- Received 29 April 2023
- Accepted 29 June 2023
DOI:https://doi.org/10.1103/PhysRevC.108.014318
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