Impact of $^{16}$O($e,e'α$)$^{12}$C measurements on the $^{12}$C($α,γ$)$^{16}$O astrophysical reaction rate

Impact of $^{16}$O($e,e'α$)$^{12}$C measurements on the $^{12}$C($α,γ$)$^{16}$O astrophysical reaction rate
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$^{16}$O($e,eα$)$^{12}$C 测量对 $^{12}$C($α,γ$)$^{16}$O 天体物理的影响反应速度

DOI:
10.1103/physrevc.99.025802
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发表时间:
2019
期刊:
影响因子:
3.1
通讯作者:
B. Filippone
B. Filippone
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
R. Holt;B. Filippone

文献摘要

被引文献

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12 C(α,γ)16 O反应是恒星氦燃烧的重要组成部分,在核天体物理中起着重要作用。它对大质量恒星的演化和最终状态有直接影响,同时也对这些恒星中核合成产生的元素丰度产生影响。在恒星氦燃烧温度下,对这种反应的能量依赖性提供可靠的估计一直是该领域的主要目标。在这项工作中,我们研究的作用,潜在的新的测量的逆反应,16 O(γ,α)12 C,在减少整体的不确定性。一个多层次的R-矩阵分析是用来进行外推的天体物理S因子为300千电子伏的恒星能量的这种反应。S因子外推的统计精度是通过对现有的E1和E2基态捕获数据进行多次拟合来确定的,包括未来可能测量的16 O(γ,α)12 C反应的影响。特别是,我们考虑一个建议的JLab实验,将利用高强度的低能量韧致辐射束,撞击在富氧的单流体气泡室,以测量逆反应的总截面。研究了低能量数据和高精度数据的重要性。
The 12 C( α, γ ) 16 O reaction, an important component of stellar helium burning, plays a key role in nuclear astrophysics. It has direct impact on the evolution and final state of massive stars, while also influencing the elemental abundances resulting from nucleosynthesis in such stars. Providing a reliable estimate for the energy dependence of this reaction at stellar helium burning temperatures has been a major goal for the field. In this work, we study the role of potential new measurements of the inverse reaction, 16 O( γ, α ) 12 C, in reducing the overall uncertainty. A multilevel R-matrix analysis is used to make extrapolations of the astrophysical S factor for this reaction to the stellar energy of 300 keV. The statistical precision of the S-factor extrapolation is determined by performing multiple fits to existing E1 and E2 ground state capture data, including the impact of possible future measurements of the 16 O( γ, α ) 12 C reaction. In particular, we consider a proposed JLab experiment that will make use of a high-intensity low-energy bremsstrahlung beam that impinges on an oxygen-rich single-fluid bubble chamber in order to measure the total cross section for the inverse reaction. The importance of low energy data as well as high precision data is investigated.