Nuclear Mass Model Based on Bayesian Estimate of Local Difference Experssions of Binding Energies

被引：1

作者：

Stopani, K. A. ^{[1
]}

Vladimirova, E. V. ^{[2
]}

Negrebetskiy, V. V. ^{[2
]}

Simonov, M. V. ^{[2
,3
]}

Tretyakova, T. Yu. ^{[1
,2
]}

机构：

[1] Lomonosovs Moscow State Univ, Skobeltsyn Inst Nucl Phys, Moscow, Russia

[2] Moscow MV Lomonosov State Univ, Fac Phys, Moscow, Russia

[3] Justus Liebig Univ, Giessen, Germany

来源：

PHYSICS OF ATOMIC NUCLEI | 2023年 / 86卷 / 04期

关键词：

D O I：

10.1134/S1063778823040348

中图分类号：

O57 [原子核物理学、高能物理学];

学科分类号：

070202 ;

摘要：

The Bayesian estimates of the value of the residual neutron-proton interaction energy ?(np) using the Markov chain Monte Carlo method and Tikhonov regularization. These estimates are used for calculation of the nuclear mass table for A > 20. The accuracy of the obtained predictions is evaluated by comparison with experimental data from AME2020 and other theoretical nuclear mass models.

引用

页码：347 / 355

页数：9

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