The Effect of Nuclear Isomers on s-Process Nucleosynthesis

s-Process nucleosynthesis is a process in which stars produce elements of mass range A = 57 to 210. Since the days of B2FH, immense work has gone into quantifying and computing s-process yields and pathways. We expand upon said work along two fronts. The first front sets up the framework for proper treatment of nuclear isomers in network calculations. We apply the framework to study 85Kr, which is a pivotal isotope in the s-process chain that affects the abundance yields of Strontium and Rubidium isotopes. In particular, we are interested in the ratio of 88Sr/86Sr and 87Rb which are important for pre-solar grain analysis and cosmochronometry respectively. The second front is characterizes the density of neutron exposures, following up the work done by the late Prof. Clayton. Additionally, we introduce two computational packages, a restructure of one that handles sparse matrix solving, and an in-house open-source highly modular Python package that can handle quantum levels data which contains features with future expansions planned.

Publication Details

Journal
TigerPrints (Clemson University)
Published
2025-05-01
Primary Topic
Nuclear physics research studies
Type
article
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article

The Effect of Nuclear Isomers on s-Process Nucleosynthesis

TigerPrints (Clemson University)
Nuclear physics research studies
article

The Effect of Nuclear Isomers on s-Process Nucleosynthesis

article en

Abstract

s-Process nucleosynthesis is a process in which stars produce elements of mass range A = 57 to 210. Since the days of B2FH, immense work has gone into quantifying and computing s-process yields and pathways. We expand upon said work along two fronts. The first front sets up the framework for proper treatment of nuclear isomers in network calculations. We apply the framework to study 85Kr, which is a pivotal isotope in the s-process chain that affects the abundance yields of Strontium and Rubidium isotopes. In particular, we are interested in the ratio of 88Sr/86Sr and 87Rb which are important for pre-solar grain analysis and cosmochronometry respectively. The second front is characterizes the density of neutron exposures, following up the work done by the late Prof. Clayton. Additionally, we introduce two computational packages, a restructure of one that handles sparse matrix solving, and an in-house open-source highly modular Python package that can handle quantum levels data which contains features with future expansions planned.

TigerPrints (Clemson University)
Openalex Percentile: Top 75%
Nuclear physics research studies
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