摘要
A fixed particle number BCS （FBCS） approach is formulated in the relativistic mean field （RMF） model. It is shown that the RMF＋FBCS model obtained can describe the weak pairing limit. We calculate the ground-state properties of the calcium isotopes ＆32-74Ca and compare the results with those obtained from the usual RMF＋BCS model. Although the results are quite similar to each other, we observe the interesting phenomenon that for ^54Ca, the FBCS approach can enhance the occupation probability of the 2p1/2 single particle level and slightly increases its radius, compared with the RMF＋BCS model. This leads to the unusual scenario that although ^54Ca is more bound with a spherical configuration, the corresponding size is not the most compact. We anticipate that such a phenomenon might happen for other neutron-rich nuclei and should be checked by further more systematic studies.
A fixed particle number BCS （FBCS） approach is formulated in the relativistic mean field （RMF） model. It is shown that the RMF＋FBCS model obtained can describe the weak pairing limit. We calculate the ground-state properties of the calcium isotopes ＆32-74Ca and compare the results with those obtained from the usual RMF＋BCS model. Although the results are quite similar to each other, we observe the interesting phenomenon that for ^54Ca, the FBCS approach can enhance the occupation probability of the 2p1/2 single particle level and slightly increases its radius, compared with the RMF＋BCS model. This leads to the unusual scenario that although ^54Ca is more bound with a spherical configuration, the corresponding size is not the most compact. We anticipate that such a phenomenon might happen for other neutron-rich nuclei and should be checked by further more systematic studies.
作者
安荣
耿立升
张时声
刘朗
Rong An;Lisheng Geng;Shisheng Zhang;Lang Liu(School of Physics and Nuclear Energy Engineering,Beihang University,Beijing 100191,China;School of Physics and Nuclear Energy Engineering ＆ Beijing Key Laboratory of Advanced Nuclear Materials and Physics Beihang University,Beijing 100191,China Beijing Advanced Innovation Center for Big Data-based Precision Medicine,Beihang University,Beijing 100191,China;School of Science,Jiangnan University,Wuxi 214122,China)
基金
Supported by the National Natural Science Foundation of China(11522539,11735003,11775014,11375022)
