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What is it about?
Researchers investigated the transition densities distribution for two particles and holes using random phase approximation. They focused on the s, p, and d shells and studied the nuclear structure of 18 B and 18 N using PSD and WBP interactions. The transition density was studied with the presence of modified surface delta interaction (MSDI). Results showed the ground state of 18 N, 18 B, and 14 N, 14 B nuclei under pp-RPA and hh-RPA. The study aimed to describe the stable and far from stability nuclei and compared with experimental data.
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Why is it important?
This research is important as it provides insights into the nuclear structure of certain boron isotopes (18 B and 18 N) using the Random Phase Approximation (RPA) method. Understanding the nuclear structure of these isotopes is essential for several reasons: It helps to describe the properties of stable and unstable nuclei, which is important for nuclear physics research. The RPA method is a valuable tool for studying the ground state and excited states of nuclei, providing information that can be used to compare experimental data with theoretical predictions. The results of this study contribute to a better understanding of the behavior of nuclei in the pf-shell region, which is essential for the development of more accurate shell model calculations. Key Takeaways: 1. The study investigates the transition densities distribution for two particles and holes in the s, p, and d shells using the random phase approximation. 2. The research focuses on the nuclear structure of 18 B and 18 N isotopes, using the PSD and WBP interactions in the (0 1) ω-model space. 3. The study utilizes the harmonic oscillator potential within the potential of the potential to compute the transition density. 4. The results provide insights into the structure of level density and transition distribution density for the nuclei 14 N, 14 B, 18 N, and 18 B.
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This page is a summary of: Investigating transition density distribution by particle-particle and hole-hole using random phase approximation, January 2023, American Institute of Physics,
DOI: 10.1063/5.0167720.
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