Work

Bayesian inference correlation: From α -particle preformation factor to α -decay properties in heavy and superheavy nuclei

Year: 2025

Type: article

Abstract: In this study, we propose a novel Bayesian inference framework combined with the two-potential approach (TPA) to systematically investigate the α -particle preformation factors and decay properties of heavy and superheavy nuclei. By employing Markov chain Monte Carlo (MCMC) sampling, we globally calibrate the adjustable parameters of phenomenological α preformation factors, while incorporating experimental uncertainties in decay energies and half-lives. Our results reveal a significant correlation between the parameters, and the nuclear shell effects near neutron magic numbers N = 126 , 152, and 162 play a key role. The 95 % posterior confidence levels provided by the Bayesian method significantly enhance the reliability of parameter estimation, which is superior to traditional least-squares optimization. Notably, the derived preformation factors exhibit systematic deviations near shell closures, highlighting the necessity of explicitly incorporating nuclear structure effects. This work not only advances the precision of α -decay predictions but also offers a deeper understanding of shell evolution and collective effects in superheavy nuclei.

Source: Physical Review C

DOI: 10.1103/x53t-7fb8