Constraining r-process nucleosynthesis via enhanced accuracy neutron-capture experiments
C. Domingo-Pardo, C. Lederer-Woods, A. Mengoni

TL;DR
This paper identifies key isotopes for improved neutron-capture measurements to reduce uncertainties in r-process nucleosynthesis models, enhancing our understanding of heavy element formation in the universe.
Contribution
It introduces a simplified method to prioritize isotopes for experimental measurement, improving the accuracy of r-process residual calculations.
Findings
Identifies isotopes with significant residual uncertainties.
Provides a framework for experimental prioritization at CERN n_TOF.
Highlights the impact of improved cross-section data on nucleosynthesis models.
Abstract
The isotopic abundances of r-process elements in the solar system are traditionally derived as residuals from the subtraction of s-process contributions from total solar abundances. However, the uncertainties in s-process nucleosynthesis -- particularly those arising from Maxwellian Averaged Cross Sections (MACS) -- propagate directly into the r-process residuals, affecting their reliability. Building upon the seminal work of Goriely (1999), who introduced a multi-event s-process model to quantify these uncertainties, we revisit the problem using a simplified yet effective approach. By assuming that the relative uncertainty in s-process isotopic abundances scales linearly with the MACS uncertainties from data libraries (KADoNiS), we identify a subset of isotopes for which the r-process residuals remain significantly uncertain. Using updated solar abundances (Lodders 2025) and s-process…
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Taxonomy
TopicsNuclear physics research studies · Nuclear reactor physics and engineering · Gamma-ray bursts and supernovae
