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

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The Bayesian estimates of the value of the residual neutron–proton interaction energy Δnp  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.

作者简介

K. Stopani

Skobeltsyn Institute of Nuclear Physics, Moscow State University

Email: kstopani@sinp.msu.ru
Moscow, Russia

E. Vladimirova

Faculty of Physics, Moscow State University

Email: kstopani@sinp.msu.ru
Moscow, Russia

V. Negrebetskiy

Faculty of Physics, Moscow State University; Justus Liebig University

Email: kstopani@sinp.msu.ru
Moscow, Russia; Giessen, Germany

M. Simonov

Faculty of Physics, Moscow State University; Justus Liebig University

Email: kstopani@sinp.msu.ru
Moscow, Russia; Giessen, Germany

T. Tretyakova

Skobeltsyn Institute of Nuclear Physics, Moscow State University; Faculty of Physics, Moscow State University

编辑信件的主要联系方式.
Email: kstopani@sinp.msu.ru
Moscow, Russia; Moscow, Russia

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