Bayesian Estimation of the D(p,$\gamma$)$^3$He Thermonuclear Reaction Rate
Joseph Moscoso (1, 2), Rafael S. de Souza (3), Alain Coc (4),, Christian Iliadis (1, 2) ((1) Department of Physics & Astronomy University, of North Carolina at Chapel Hill,(2) Triangle Universities Nuclear Laboratory, (TUNL), Durham, (3) Key Laboratory for Research in Galaxies

TL;DR
This paper employs hierarchical Bayesian modeling to analyze the D(p,$ extgamma$)$^3$He reaction rate, integrating over eleven experiments to improve the precision of thermonuclear reaction rates crucial for Big Bang nucleosynthesis predictions.
Contribution
It introduces a comprehensive Bayesian approach to estimate the D(p,$ extgamma$)$^3$He reaction rate, incorporating extensive experimental data and comparing different fitting functions for improved accuracy.
Findings
Reaction rate uncertainty is reduced to 2.2% at 0.8 GK.
Analysis includes data from 1955 to 2021, more than previous studies.
Differences with prior reaction rate estimates are discussed.
Abstract
Big bang nucleosynthesis (BBN) is the standard model theory for the production of the light nuclides during the early stages of the universe, taking place for a period of about 20 minutes after the big bang. Deuterium production, in particular, is highly sensitive to the primordial baryon density and the number of neutrino species, and its abundance serves as a sensitive test for the conditions in the early universe. The comparison of observed deuterium abundances with predicted ones requires reliable knowledge of the relevant thermonuclear reaction rates, and their corresponding uncertainties. Recent observations reported the primordial deuterium abundance with percent accuracy, but some theoretical predictions based on BBN are at tension with the measured values because of uncertainties in the cross section of the deuterium-burning reactions. In this work, we analyze the S-factor of…
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