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Correlation between nuclear isospin asymmetry and $α$-particle preformation probability for superheavy nuclei from a Bayesian inference

Xiao-Yan Zhu, Hao Zhang, Wei Gao, Wen-Jing Xing, Wen-Bin Lin, Xiao-Hua Li

Abstract

In the study of $α$ decay within the superheavy nuclear region ($Z \geq 90$ and $N \geq 140$), the $α$-particle preformation probability $P_α$ serves as a crucial physical quantity linking nuclear structure to decay observables. We introduce a phenomenological model incorporating the decay energy $Q_α$, mass number $A$, orbital angular momentum $l$, isospin asymmetry $I$, and unpaired nucleon effect. For the first time, a Bayesian inference method combined with Markov Chain Monte Carlo (MCMC) sampling has been employed to impose global constraints on the model parameters, enabling the systematic and high-precision calculation of $P_α$. The results reveal a significant suppressing effect of isospin asymmetry on $P_α$, a finding independently corroborated by random forest-based feature importance analysis, which identified $I$ as a dominant factor. Furthermore, calculations using the maximum a posteriori (MAP) parameters not only reproduce the shell effect at $N=152$ but also yield $α$ decay half-life predictions in excellent agreement with experimental ones, thereby validating this model universality. This work provides the first global analysis tool for probing the $α$ preformation mechanism in superheavy nuclei, underscores the potential of the Bayesian framework for inverting complex nuclear physics problems, and establishes a reliable theoretical benchmark for guiding future experimental exploration of superheavy nuclei.

Correlation between nuclear isospin asymmetry and $α$-particle preformation probability for superheavy nuclei from a Bayesian inference

Abstract

In the study of decay within the superheavy nuclear region ( and ), the -particle preformation probability serves as a crucial physical quantity linking nuclear structure to decay observables. We introduce a phenomenological model incorporating the decay energy , mass number , orbital angular momentum , isospin asymmetry , and unpaired nucleon effect. For the first time, a Bayesian inference method combined with Markov Chain Monte Carlo (MCMC) sampling has been employed to impose global constraints on the model parameters, enabling the systematic and high-precision calculation of . The results reveal a significant suppressing effect of isospin asymmetry on , a finding independently corroborated by random forest-based feature importance analysis, which identified as a dominant factor. Furthermore, calculations using the maximum a posteriori (MAP) parameters not only reproduce the shell effect at but also yield decay half-life predictions in excellent agreement with experimental ones, thereby validating this model universality. This work provides the first global analysis tool for probing the preformation mechanism in superheavy nuclei, underscores the potential of the Bayesian framework for inverting complex nuclear physics problems, and establishes a reliable theoretical benchmark for guiding future experimental exploration of superheavy nuclei.
Paper Structure (4 sections, 12 equations, 5 figures, 1 table)

This paper contains 4 sections, 12 equations, 5 figures, 1 table.

Figures (5)

  • Figure 1: Posterior distributions of model's global parameters (diagonal panels) and their correlations (off-diagonal panels) extracted from Eq. (\ref{['Eq5']}) using the original uncertainties of the experimental data.
  • Figure 2: Posterior distributions of model's global parameters and their correlations extracted from Eq. (\ref{['Eq12']}) using the original uncertainties of the experimental data.
  • Figure 3: Relative dependencies of $\alpha$ particle preformation factor on various features.
  • Figure 4: The calculation results of the posterior distribution $P_{\alpha}$ of the parameters of for Cf, Es, and Md nuclei based on the model Eq. (\ref{['Eq12']}) are compared with the experimental data.
  • Figure 5: The $\alpha$ decay half-lives of Cf, Es, Fm, and Md near $N=152$, as calculated using the posterior distributions of Eq. (\ref{['Eq5']}) and Eq. (\ref{['Eq12']}) along with their corresponding MAP values.