Multinucleon transfer for Gd-160+W-186 collisions in the stochastic mean-field approach

Date

2024-9-06

Author

Erbayri, Eda

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In deep-inelastic collisions of the heavy-ion systems, projectile and target nuclei stick and move together for a long time, a window opens between the two nuclei and the transfer of nucleons takes place between colliding nuclei. Finally, the system can split into two separate nuclei with different values of initial proton and neutron numbers. If nucleon transfer is from heavy to light, it is called quasi-fission (QF) or light to heavy, called inverse quasifission (IQF). QF and IQF mechanisms are important for the synthesis of heavy elements by multinucleon transfer mechanisms. In this thesis, QF and IQF are studied in the 160Gd + 186W system at two different initial energies. Since both nuclei are deformed, contributions from different initial orientations are calculated, and compared with the experimental data. Multinucleon transfer reaction (MNT) is a way to produce new neutron rich heavy nuclei. An inverse quasifission process may be a possible way to produce yet-unknown superheavy nuclei. The multinucleon transfer mechanism in 160Gd + 186W collisions are investigated in the framework of quantal transport description, based on the stochastic mean-field (SMF) approach. The SMF theory provides a microscopic approach to nuclear dynamics beyond the time-dependent Hartree-Fock approach by including mean-field fluctuations. Cross sections for the primary fragment production are determined in the quantal transport description and compared with the available data. In addition, the distributions of cross sections for the production of nuclei with the magic number N=126 are calculated. It is understood that the MNT reactions are a useful process in the production of neutron-rich nuclei in the region close to lead.

Subject Keywords

Stochastic mean-field theory, Time-dependent Hartree-Fock theory, Multinucleon transfer mechanism, Low energy heavy-ion reactions

URI

https://hdl.handle.net/11511/111497

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Graduate School of Natural and Applied Sciences, Thesis