Shvedov, L., Burrello, S., Colonna, M., & Zheng, H. (2024). Probing nuclear structure and the equation of state through pre-equilibrium dipole emission in charge-asymmetric reactions. arXiv preprint arXiv:2411.07159.
This study aims to understand the impact of nuclear structure, specifically deformation, and the equation of state on pre-equilibrium dipole emission in charge-asymmetric heavy-ion collisions. The researchers investigate the sensitivity of the dynamical dipole (DD) mode to various factors, including the nuclear effective interaction, ground-state deformation, and two-body correlations.
The researchers employ two microscopic approaches: the time-dependent Hartree-Fock (TDHF) method and the semi-classical Boltzmann-Nordheim-Vlasov (BNV) transport model. They utilize various Skyrme-like effective interactions (SAMi-J and SAMi-m) to describe the nuclear mean-field. The study focuses on the charge-asymmetric reaction 40Ca + 152Sm at different beam energies and collision centralities.
The study highlights the sensitivity of pre-equilibrium dipole emission to nuclear structure, the equation of state, and the interplay between single-particle and collective dynamics in heavy-ion collisions. The findings suggest that deformation effects, often neglected in previous studies, can significantly influence the DD mode. The research emphasizes the importance of considering both mean-field and two-body correlations for a comprehensive understanding of these reactions.
This research contributes to a deeper understanding of the microscopic processes governing low-energy heavy-ion collisions, particularly along the fusion-fission path. These insights are crucial for various nuclear physics applications, including super-heavy element synthesis.
The study primarily focuses on the 40Ca + 152Sm reaction. Further investigations involving a wider range of projectile-target combinations and beam energies are needed to generalize the findings. Additionally, exploring the impact of different treatments of surface effects in semi-classical models could improve the accuracy of DD predictions.
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by Leonid Shved... at arxiv.org 11-12-2024
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