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Bayesian Smooth-Fit Extrapolation of the $^{12}\mathrm{C}+{}^{12}\mathrm{C}$ Astrophysical $S$ Factor

A. M. Mukhamedzhanov

TL;DR

This work addresses the challenge of constraining the low-energy $^{12}\mathrm{C}+{}^{12}\mathrm{C}$ fusion $S$ factor, essential for stellar carbon burning, by developing a Bayesian smooth-fit framework. It models $y(E)=\log_{10}S^{*}(E)$ as a quadratic in energy and coherently combines direct, THM, and inverse-kinematics data within a global posterior over three coefficients. From this posterior, it yields a tightly bounded extrapolation, e.g., $S^{*}(1.5\mathrm{ MeV})=(2.13^{+0.01}_{-0.01})\times 10^{16}$ keV b, with a $68\%$ credible interval, and LO/MED/HI bands over $1.5$–$3.5$ MeV. The extrapolated result is consistent with recent inverse-kinematics and Coulomb-renormalized THM constraints, providing a transparent, reproducible basis for stellar-rate calculations and a framework that can be extended with future data or resonance-level modeling.

Abstract

A Bayesian analysis of the astrophysical $S$ factor for the $^{12}\mathrm{C}+^{12}\mathrm{C}$ fusion reaction is presented, based on available experimental information at carbon--carbon relative energies $E \gtrsim 2~\mathrm{MeV}$, including direct measurements, indirect Coulomb-renormalized Trojan Horse Method (THM) results, and recent inverse-kinematics data. The Bayesian inference is performed on the quantity $\log_{10}S^{*}(E)$ rather than on $S^{*}(E)$ itself, which naturally accommodates the wide dynamic range of the data and leads to approximately Gaussian uncertainties. The logarithm of the astrophysical factor is parametrized by a quadratic polynomial in energy, and the posterior distribution of the fit coefficients is determined using a weighted Bayesian regression. From this posterior, a global median $S^{*}(E)$ curve is constructed, and the associated covariance matrix is used to define a low/medium/high (LO/MED/HI) band corresponding to a $68\%$ credible interval. Particular emphasis is placed on the extrapolation below $E_{\mathrm{cm}}=2~\mathrm{MeV}$, where the fusion reaction rate is most relevant for stellar carbon burning. At $E_{\mathrm{cm}}=1.5~\mathrm{MeV}$, the posterior distribution yields $S_{\mathrm{global}}^{*}(1.5~\mathrm{MeV})= \left(2.13^{+0.01}_{-0.01}\right)\times10^{16}\,\mathrm{keV\,b}, $ corresponding to a $68\%$ credible interval. The extracted result is consistent with recent inverse-kinematics measurements and with Coulomb-corrected Trojan Horse Method constraints, providing a tightly constrained estimate of the $^{12}\mathrm{C}+^{12}\mathrm{C}$ fusion $S$ factor in the energy region relevant for stellar carbon burning.

Bayesian Smooth-Fit Extrapolation of the $^{12}\mathrm{C}+{}^{12}\mathrm{C}$ Astrophysical $S$ Factor

TL;DR

This work addresses the challenge of constraining the low-energy fusion factor, essential for stellar carbon burning, by developing a Bayesian smooth-fit framework. It models as a quadratic in energy and coherently combines direct, THM, and inverse-kinematics data within a global posterior over three coefficients. From this posterior, it yields a tightly bounded extrapolation, e.g., keV b, with a credible interval, and LO/MED/HI bands over MeV. The extrapolated result is consistent with recent inverse-kinematics and Coulomb-renormalized THM constraints, providing a transparent, reproducible basis for stellar-rate calculations and a framework that can be extended with future data or resonance-level modeling.

Abstract

A Bayesian analysis of the astrophysical factor for the fusion reaction is presented, based on available experimental information at carbon--carbon relative energies , including direct measurements, indirect Coulomb-renormalized Trojan Horse Method (THM) results, and recent inverse-kinematics data. The Bayesian inference is performed on the quantity rather than on itself, which naturally accommodates the wide dynamic range of the data and leads to approximately Gaussian uncertainties. The logarithm of the astrophysical factor is parametrized by a quadratic polynomial in energy, and the posterior distribution of the fit coefficients is determined using a weighted Bayesian regression. From this posterior, a global median curve is constructed, and the associated covariance matrix is used to define a low/medium/high (LO/MED/HI) band corresponding to a credible interval. Particular emphasis is placed on the extrapolation below , where the fusion reaction rate is most relevant for stellar carbon burning. At , the posterior distribution yields corresponding to a credible interval. The extracted result is consistent with recent inverse-kinematics measurements and with Coulomb-corrected Trojan Horse Method constraints, providing a tightly constrained estimate of the fusion factor in the energy region relevant for stellar carbon burning.

Paper Structure

This paper contains 20 sections, 38 equations, 2 figures.

Figures (2)

  • Figure 1: Global posterior distribution of $\log_{10}S^{*}(E)$ obtained from the combined analysis of all experimental data. The black shaded band represents the $68\%$ credible interval derived from the propagated uncertainties of the polynomial coefficients. The median curve corresponding to the maximum-a-posteriori coefficients $\bm{a}_{\rm MAP}$ lies within this band and is visually indistinguishable from its boundaries because of the narrow width of the posterior uncertainty.
  • Figure 2: Global posterior for $S^{*}(E)$ in linear space, obtained by transforming the log-space result via $S^{*}(E)=10^{\,y(E)}$. The black shaded band shows the $68\%$ uncertainty band, which is multiplicative rather than additive in linear space. As in Fig. \ref{['figpost_logS']}, the median curve lies within the band and may be difficult to distinguish when the uncertainty is small.