Charged-particle thermonuclear reaction rates: II. Tables and graphs of reaction rates and probability density functions
By C. Iliadis, R. Longland, A. Champagne, A. Coc, R. Fitzgerald. 2010
196 citations recorded by the source corpus.
Abstract Numerical values of charged-particle thermonuclear reaction rates for nuclei in the A = 14 to 40 region are tabulated. The results are obtained using a method, based on Monte Carlo techniques, that has been described in the preceding paper of this issue (Paper I). We present a low rate, median rate and high rate which correspond to the 0.16, 0.50 and 0.84 quantiles, respectively, of the cumulative reaction rate distribution. The meaning of these quantities is in general different from the commonly reported, but statistically meaningless expressions, “lower limit”, “nominal value” and “upper limit” of the total reaction rate. In addition, we approximate the Monte Carlo probability density function of the total reaction rate by a lognormal distribution and tabulate the lognormal parameters μ and σ at each temperature. We also provide a quantitative measure (Anderson–Darling test statistic) for the reliability of the lognormal approximation. The user can implement the approximate lognormal reaction rate probability density functions directly in a stellar model code for studies of stellar energy generation and nucleosynthesis. For each reaction, the Monte Carlo reaction rate probability density functions, together with their lognormal approximations, are displayed graphically for selected temperatures in order to provide a visual impression. Our new reaction rates are appropriate for bare nuclei in the laboratory. The nuclear physics input used to derive our reaction rates is presented in the subsequent paper of this issue (Paper III). In the fourth paper of this issue (Paper IV) we compare our new reaction rates to previous results.
Subfields: Aerospace Engineering, Nuclear and High Energy Physics
View Paper: https://www.semanticscholar.org/paper/cb8bc19d5ddd8280d0196ba900dfc5eb612dce4d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Friedrich-Karl Thielemann
- U. Frischknecht
- R. Hirschi
- T. Rauscher
- M. Pignatari
- A. Coc
- E. Vangioni
- A. Karakas
In Nuclear and High Energy Physics
- A. Karakas
- Friedrich-Karl Thielemann
- S. Goriely
- R. Hirschi
- J. Lattanzio
- U. Frischknecht
- T. Rauscher
- M. Pignatari
Citations in the corpus
- STELLAR YIELDS FROM METAL-RICH ASYMPTOTIC GIANT BRANCH MODELS (2016, methodology): “Here we adopt the slower Iliadis et al. (2010) rate.”
- s-process production in rotating massive stars at solar and low metallicities (2015, methodology): “More recent rate determinations of 22Ne(α, γ ) from Karakas et al. (2006) or Iliadis et al. (2010), Longland, Iliadis & Karakas (2012) and Bisterzo et al. (2015) are not used in this work, but are all lower than the NACRE rate.”
- Constraints from Gravitational-wave Detections of Binary Black Hole Mergers on the 12C(α, γ)16O Rate (2020, background): “However, they are also uncertain and this uncertainty varies as function of temperature (Iliadis et al. 2010a, 2010b; Longland et al. 2010).”
- STANDARD BIG BANG NUCLEOSYNTHESIS UP TO CNO WITH AN IMPROVED EXTENDED NUCLEAR NETWORK (2011, background): “Reaction rates were taken primarily from Angulo et al. (1999), Descouvemont et al. (2004), Iliadis et al. (2010), Xu et al. (2011a), and other evaluations when available.”
- The Dawes Review 2: Nucleosynthesis and Stellar Yields of Low- and Intermediate-Mass Single Stars (2014, background): “The abundance PASA (2014) doi:10.1017/pas.2014.xxx of 17O can be enhanced by the CNO bi-cycle, depending on the uncertain rate of the 17O + p branching reactions whereas 19F is destroyed (e.g., Angulo et al. 1999; Arnould et al. 1999; Iliadis et al. 2010).”