Bayesian Estimation of the $S$ Factor and Thermonuclear Reaction Rate for $^{16}$O(p,$\gamma$)$^{17}$F
Christian Iliadis, Vimal Palanivelrajan, Rafael S. de Souza

TL;DR
This paper applies Bayesian statistical methods to accurately estimate the thermonuclear reaction rate of $^{16}$O(p,$3$)$^{17}$F, reducing uncertainties and improving previous estimates for astrophysical models.
Contribution
It introduces a Bayesian framework for fitting nuclear reaction data, explicitly accounting for uncertainties, and provides the first statistically rigorous reaction rate estimate for $^{16}$O(p,$3$)$^{17}$F.
Findings
Reaction rate uncertainty reduced to a0a0 4.2%
Bayesian fit using ANCs is more effective than spectroscopic factors
First rigorous statistical estimate of the reaction rate
Abstract
The O(p,)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 ~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 O(p,)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…
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Taxonomy
TopicsParticle physics theoretical and experimental studies · Quantum Chromodynamics and Particle Interactions · Medical Imaging Techniques and Applications
