Bayesian Estimation of the $S$ Factor and Thermonuclear Reaction Rate for ${}^{16}$O(p,$\gamma$)${}^{17}$F

Abstract

The ${}^{16}$O(p,$\gamma$)${}^{17}$F reaction is the slowest hydrogen-burning process in the CNO mass region. Its thermonuclear rate sensitively impacts predictions of oxygen isotopic ratios in a number of astrophysical sites, including AGB stars. The reaction has been measured several times at low bombarding energies using a variety of techniques. The most recent evaluated experimental rates have a reported uncertainty of about 7.5\% below $1$~GK. However, the previous rate estimate represents a best guess only and was not based on rigorous statistical methods. We apply a Bayesian model to fit all reliable ${}^{16}$O(p,$\gamma$)${}^{17}$F cross section data, and take into account independent contributions of statistical and systematic uncertainties. The nuclear reaction model employed is a single-particle potential model involving a Woods-Saxon potential for generating the radial bound state wave function. The model has three physical parameters, the radius and diffuseness of the Woods-Saxon potential, and the asymptotic normalization coefficients (ANCs) of the final bound state in ${}^{17}$F. We find that performing the Bayesian $S$ factor fit using ANCs as scaling parameters has a distinct advantage over adopting spectroscopic factors instead. Based on these results, we present the first statistically rigorous estimation of experimental ${}^{16}$O(p,$\gamma$)${}^{17}$F reaction rates, with uncertainties ($\pm 4.2$\%) of about half the previously reported values.

3 figures

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