Statistical Errors in Weizs&auml;cker-Skyrme Mass Model

CHEN Menghua; WANG Ning

doi:10.11804/NuclPhysRev.35.02.111

The statistical uncertainties of 15 model parameters in the Weizsäcker-Skyrme(WS4) mass model are investigated with an efficient approach, and the propagated errors in the predicted masses are estimated. The discrepancies between the predicted masses and the experimental data are almost all smaller than the model errors. The most sensitive model parameter which causes the largest statistical error is analyzed for all bound nuclei. We find that the two coefficients of symmetry energy term significantly influence the mass predictions of extremely neutron-rich nuclei. In addition, the parameter uncertainties and statistical errors of the WS4 mass model and the WS^* mass model are compared. The uncertainties of model parameter in the WS4 mass model is reduced by 10% ~ 50% compared with the WS* mass model.

Statistical Errors in Weizsäcker-Skyrme Mass Model

1. Department of Physics, Guangxi Normal University, Guilin 541004, Guangxi, China;

2. Guangxi Key Laboratory Breeding Base of Nuclear Physics and Technology, Guilin 541004, Guangxi, China

Funds: Guangxi Natural Science Foundation (2015GXNSFDA139004); Innovation Project of Guangxi Graduate Education (YCSW2018088)

Received Date: 2018-04-17

Rev Recd Date: 2018-05-14

Publish Date: 2018-06-20

Key words:

Abstract: The statistical uncertainties of 15 model parameters in the Weizsäcker-Skyrme(WS4) mass model are investigated with an efficient approach, and the propagated errors in the predicted masses are estimated. The discrepancies between the predicted masses and the experimental data are almost all smaller than the model errors. The most sensitive model parameter which causes the largest statistical error is analyzed for all bound nuclei. We find that the two coefficients of symmetry energy term significantly influence the mass predictions of extremely neutron-rich nuclei. In addition, the parameter uncertainties and statistical errors of the WS4 mass model and the WS^* mass model are compared. The uncertainties of model parameter in the WS4 mass model is reduced by 10% ~ 50% compared with the WS* mass model.

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Statistical Errors in Weizsäcker-Skyrme Mass Model

doi: 10.11804/NuclPhysRev.35.02.111

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通讯作者: 陈斌, bchen63@163.com

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Statistical Errors in Weizsäcker-Skyrme Mass Model

doi: 10.11804/NuclPhysRev.35.02.111

1. Department of Physics, Guangxi Normal University, Guilin 541004, Guangxi, China;

2. Guangxi Key Laboratory Breeding Base of Nuclear Physics and Technology, Guilin 541004, Guangxi, China

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Statistical Errors in Weizsäcker-Skyrme Mass Model

doi: 10.11804/NuclPhysRev.35.02.111

Abstract

References

Proportional views

通讯作者: 陈斌, bchen63@163.com

Article Metrics

Proportional views

Statistical Errors in Weizsäcker-Skyrme Mass Model

doi: 10.11804/NuclPhysRev.35.02.111

1. Department of Physics, Guangxi Normal University, Guilin 541004, Guangxi, China; 2. Guangxi Key Laboratory Breeding Base of Nuclear Physics and Technology, Guilin 541004, Guangxi, China

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1. Department of Physics, Guangxi Normal University, Guilin 541004, Guangxi, China;

2. Guangxi Key Laboratory Breeding Base of Nuclear Physics and Technology, Guilin 541004, Guangxi, China