The thickness of the $^{11}$B target was determined by using $^{11}$B(p,p$_{0})$ elastic reaction. The proton beams were accelerated up to the energy range from 1.1 - 1.9 MeV by the Pelletron 5SDH-2 accelerator at Hanoi University of Science. The measured $^{11}$B target thickness is 65.45 ± 3.78 $\mu g/cm^2$, lower than the value of 74 $\mu g/cm^2$ from the target supplier. This result...
Nuclei near shell-closed remain a topic of immense interest in nuclear structure research for investigating different aspects of single particle and collective excitation. We have systematically investigated nuclei in the 90-mass region using Indian National Gamma Array (INGA) [1]. The level schemes of most of the isotopes in this region are dominated by single particle excitations, which...
Density distributions tell us the characteristics of nuclei, such as the nuclear size and nuclear skin structure.
Both proton and neutron density distributions can be acquired by proton elastic scattering at two different intermediate energies such as 200 and 300 MeV/u.
For stable nuclei, proton beam and targets of stable nuclei are used.
Inverse kinematics are used for short-lived nuclei,...
Jaewon Kim, Jeong-Yeon Lee, Myung-Ki Cheoun
Department of Physics and OMEG Institute, Soongsil University, Seoul 07040, Korea
The nuclear shell model is a traditional approach for describing and predicting the nuclear properties. It is based on the idea that nucleons occupy shells in the nucleus and interact with each other through a residual two-body interaction. The Gamow shell model...
The charge radius is one of the most fundamental quantities concerning nuclear structure. Recent advancements in high-precision spectroscopic measurements utilizing isotope shifts have provided accurate experimental data on the second-order moments of charge distribution, including isotopes in regions of proton and neutron excess. However, there is no precise theoretical calculation that can...
Nuclear data play an important role in various scientific fields. However, the generation of nuclear data entails enormous human and time costs.
Recently, attempts have been made to solve this problem by using machine learning to generate nuclear data. We aim to generate accurate nuclear data at low cost by combining nuclear reaction models with machine learning.
In this presentation, we...
The equation of state (EoS) of dense matter, such as EoS for neutron stars, remains an open question as it has not yet fully been established. To gain insights into the structure of dense stellar objects, we could rely on experimental information provided by heavy ion collisions. These collisions serve as terrestrial experiments that offer valuable data on the EoS. Transport models, in...
