Plasma Induced Variation of Electron Capture and Bound-State $\beta$ Decays

Autor: Mishra, Bharat, Pidatella, Angelo, Taioli, Simone, Simonucci, Stefano, Mascali, David
Rok vydání: 2024
Předmět:
Druh dokumentu: Working Paper
Popis: The slow neutron capture ($s$-process) synthesises ~50% of all elements in the universe heavier than iron, whose abundances are determined by the competition between neutron capture and nuclear $\beta$-decay rates. The latter are expected to vary inside hot and dense plasmas such as those found in $s$-process nucleosynthesis sites. Here, we present a new and general theoretical study of the effect of local and non-local thermodynamic equilibrium ((N)LTE) plasmas on $\beta$-decays, using orbital electron capture (EC) decays in $^{7}$Be as a model case. We begin from the model of Takahashi and Yokoi to calculate the lepton phase volume of $^{7}$Be as a function of its ionisation state and excitation level, and consequently, the configuration-dependent EC decay rate. We then calculate the in-plasma ion charge state distribution (CSD) and level population distribution (LPD) for a grid of plasma density and temperatures, using the population kinetics code FLYCHK. By combining the configuration-dependent EC rate with the CSD and LPD, we calculate the in-plasma orbital EC rate in $^{7}$Be. The results show a strong correlation between the half-life and thermodynamic conditions of the plasma, underlining the importance of measuring decay rates in laboratory plasmas and the relevance of high precision atomic configuration models. The model discussed in this work is capable of calculating EC and bound state $\beta$ decay (BSBD) rates in both low-density NLTE and high-density LTE plasmas. We conclude by validating our model with state-of-the-art data in literature on isotopes of Pr and Dy, and by proposing future extension of the model to laboratory magnetoplasmas and stellar interiors aimed at improving nucleosynthesis models.
Comment: 24 pages, 12 figures, 2 tables. Submitted to Nature Communications
Databáze: arXiv