NUCLEAR TECHNIQUES, Volume. 46, Issue 8, 080016(2023)

Neutron skin thickness and its effects in nuclear reactions

Deqing FANG*
Author Affiliations
  • Key Laboratory of Nuclear Physics and Ion-beam Application (MOE), Institute of Modern Physics, Fudan University, Shanghai 200433, China
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    The physics of radioactive nuclear beams is one of the frontiers of nuclear physics. New phenomena and physics appear in exotic nuclei far from the β-stability line. The neutron skin is an exotic phenomena in unstable nuclei and is closely correlated with the properties of the equation of state (EOS) of asymmetric nuclear matter and neutron stars. This study sought to examine previous studies on the effect of the neutron skin on nuclei-nuclei collisions to identify good observables for determining the neutron skin thickness, which could in turn be used to investigate the EOS of asymmetric nuclear matter. Various theoretical models are used to study the effect of neutron skin in nuclei-nuclei collisions. The statistical abrasion-ablation (SAA) and isospin-dependent quantum molecular dynamics (IQMD) models are used to study the neutron abrasion cross-section, neutron/proton ratio, and t/3He ratios. A nuclear structure model is used to investigate the relation between the neutron skin and α-cluster formation, α decay, nuclear surface, and nuclear temperature. Strong correlations have been found between the neutron skin thickness and neutron abrasion cross-section, neutron/proton ratio, and t/3He ratios, photo production, and other quantities. By measuring quantities that have a strong correlation with the neutron skin, the skin thickness can be obtained. The EOS of asymmetric nuclear matter and properties of neutron stars can be studied or constrained by using the obtained neutron skin data. Further investigations are necessary for determining observables that are useful for determining the neutron skin thickness from experimental measurements.

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    Deqing FANG. Neutron skin thickness and its effects in nuclear reactions[J]. NUCLEAR TECHNIQUES, 2023, 46(8): 080016

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    Paper Information

    Category: Research Articles

    Received: Feb. 25, 2023

    Accepted: --

    Published Online: Sep. 19, 2023

    The Author Email: FANG Deqing (dqfang@fudan.edu.cn)

    DOI:10.11889/j.0253-3219.2023.hjs.46.080016

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