Charged-Particle Thermonuclear Reaction Rates: I. Monte Carlo Method and Statistical Distributions
Richard Longland, Christian Iliadis, Art Champagne, Joe Newton,, Claudio Ugalde, Alain Coc, Ryan Fitzgerald

TL;DR
This paper introduces a Monte Carlo-based method for evaluating thermonuclear reaction rates, providing statistically meaningful rates and uncertainties, improving upon previous non-rigorous estimates, and establishing a foundation for future nucleosynthesis research.
Contribution
It presents a rigorous Monte Carlo approach to calculate reaction rates with statistically defined uncertainties, replacing traditional less meaningful estimates.
Findings
Reaction rates are sampled to achieve statistical precision.
Median rates align with classical rates under certain conditions.
Provides low and high rate bounds based on quantiles.
Abstract
A method based on Monte Carlo techniques is presented for evaluating thermonuclear reaction rates. We begin by reviewing commonly applied procedures and point out that reaction rates that have been reported up to now in the literature have no rigorous statistical meaning. Subsequently, we associate each nuclear physics quantity entering in the calculation of reaction rates with a specific probability density function, including Gaussian, lognormal and chi-squared distributions. Based on these probability density functions the total reaction rate is randomly sampled many times until the required statistical precision is achieved. This procedure results in a median (Monte Carlo) rate which agrees under certain conditions with the commonly reported recommended "classical" rate. In addition, we present at each temperature a low rate and a high rate, corresponding to the 0.16 and 0.84…
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