Nuclear isomers and astrophysical reaction rates
How long-lived excited nuclear states influence element formation in stars
Keywords:
Astrophysical reaction rates, Nuclear metastable states, S-ProcessAbstract
Background: Nuclear metastable states that is isomers play a distinct roles in the nucleosynthesis of elements by altering reaction paths within stellar environments. Purpose: This study reviews the existing catalogue of nuclear isomers to analyse their influence on the astrophysically important s-process reaction rates. Methods: The work utilizes the database of s-process astrophysical reaction rates available at download.nucastro.org/astro/x/xfactors.txt. The focus is made on the nuclei where the ground state contributions could not fully constrain the nuclear reaction rates (metric X< 1) at temperatures relevant for astrophysical scenarios. These nuclei are further analyzed in terms of their spectroscopic properties using the Atlas of Nuclear Isomers. Results: A dataset of nuclei exhibiting X<1 at stellar temperatures (kT=30 and 80 keV) is compiled. Statistical analysis reveals a bimodal distribution in isomeric half-lives and a weak positive correlation between excitation energy and metric X, while half-life shows negligible correlation. Conclusions: The analysis suggests that the s-process reaction rates are more sensitive to isomeric excitation energies than to half-life of the state. Such insights are crucial for further research and measurements.
References
https://en.wikipedia.org/wiki/Atomic_nucleus
E. M. Burbidge, G. R. Burbidge, W. A. Fowler, and F. Hoyle, Rev. Mod. Physics 29, 547 (1957).
P. M. Walker, A. K. Jain and B. Maheshwari, Nuclear Isomers, Editorial, European Physical Journal ST 233, 889 (2024).
G. W. Misch, S. K. Ghorui, P. Banerjee, Y. Sun and M. R. Mumpower, The Astrophysical Journal Supple-ment Series 252, 2 (2021).
S. Garg et al., Atomic Data and Nuclear Data Tables
, 101546 (2023).
Nuclear Astrophysics webpage maintained by Thomas Rauscher, download.nucastro.org/astro/x/xfactors.txt
SciPy, https://scipy.org/
Pearson Correlation Analysis Package https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.pearsonr.html
Published
License
Copyright (c) 2026 Ayan Khandelwal

This work is licensed under a Creative Commons Attribution 4.0 International License.
Articles in the Graduate Journal of Interdisciplinary Research, Reports and Reviews (Grad. J. InteR3) by Vyom Hans Publications are published and licensed under a Creative Commons Attribution- CC-BY 4.0 International License.