| NUCLEAR PHYSICS |
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Collective Flows of $^{16}$O+$^{16}$O Collisions with $\alpha$-Clustering Configurations |
| Chen-Chen Guo1, Wan-Bing He2, Yu-Gang Ma1,3,4** |
1Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
2Institute of Modern Physics, Fudan University, Shanghai 200433
3University of Chinese Academy of Sciences, Beijing 100049
4School of Physical Science and Technology, ShanghaiTech University, Shanghai 200031
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| Cite this article: |
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Chen-Chen Guo, Wan-Bing He, Yu-Gang Ma 2017 Chin. Phys. Lett. 34 092101 |
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Abstract The main purpose of the present work is to discuss whether or not the collective flows in heavy-ion collision at the Fermi energy can be taken as a tool to investigate the cluster configuration in light nuclei. In practice, within an extended quantum molecular dynamics model, four $\alpha$-clustering (linear chain, kite, square and tetrahedron) configurations of $^{16}$O are employed in the initialization, $^{16}$O+$^{16}$O around the Fermi energy (40–60 MeV/nucleon) with impact parameter 1–3 fm are simulated, and the directed and elliptic flows are analyzed. It is found that collective flows are influenced by the different $\alpha$-clustering configurations, and the directed flow of free protons is more sensitive to the initial cluster configuration than the elliptic flow. Nuclear reaction at the Fermi energy can be taken as a useful way to study cluster configuration in light nuclei.
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Received: 09 June 2017
Published: 15 August 2017
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| PACS: |
21.65.Cd
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(Asymmetric matter, neutron matter)
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21.65.Mn
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(Equations of state of nuclear matter)
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25.70.-z
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(Low and intermediate energy heavy-ion reactions)
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| Fund: Supported by the National Natural Science Foundation of China under Grant Nos 11421505, 11220101005, 11305239 and 11605270, the Major State Basic Research Development Program of China under Grant No 2014CB845401, the Key Research Program of Frontier Sciences of the Chinese Academy of Sciences under Grant No QYZDJ-SSW-SLH002, and the China Postdoctoral Science Foundation under Grant No 2016M591730. |
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