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Nuclear collective dynamics in transport model with the lattice Hamiltonian method
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abstract
We review the recent progress on studying the nuclear collective dynamics by solving the Boltzmann-Uehling-Uhlenbeck (BUU) equation with the lattice Hamiltonian method treating the collision term by the full-ensemble stochastic collision approach. This lattice BUU (LBUU) method has recently been developed and implemented in a GPU parallel computing technique, and achieves a rather stable nuclear ground-state evolution and high accuracy in evaluating the nucleon-nucleon (NN) collision term. This new LBUU method has been applied to investigate the nuclear isoscalar giant monopole resonances and isovector giant dipole resonances. While the calculations with the LBUU method without the NN collision term (i.e., the lattice Hamiltonian Vlasov method) describe reasonably the excitation energies of nuclear giant resonances, the full LBUU calculations can well reproduce the width of the giant dipole resonance of $^{208}$Pb by including a collisional damping from NN scattering. The observed strong correlation between the width of nuclear giant dipole resonance and the NN elastic cross section suggests that the NN elastic scattering plays an important role in nuclear collective dynamics, and the width of nuclear giant dipole resonance provides a good probe of the in-medium NN elastic cross section.
Forward citations
Cited by 2 Pith papers
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Effects of light-cluster degrees of freedom on collective flows in heavy-ion collisions at FOPI energies
Explicitly propagating light clusters in a Boltzmann-Uehling-Uhlenbeck transport model substantially modifies predicted proton v1-v4 flows at low FOPI energies (120-400 A MeV) but not above 600 A MeV.
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Extended Skyrme effective interactions with higher-order momentum-dependence for transport models and neutron stars
The authors generalize the Skyrme pseudopotential to N5LO with p^10 momentum dependence, fit it to the optical potential up to 2 GeV, and show the resulting interactions reproduce HADES proton flow data.
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