标题： 哈塞尔-费什巴赫不确定度估计在r过程核合成中的传播：对远离稳定区的富中子核统计性质模型的基准测试 显示英文标题

标题： Propagation of Hauser-Feshbach uncertainty estimates to r-process nucleosynthesis: Benchmark of statistical property models for neutron rich nuclei far from stability

摘要： 多信使观测中子星合并事件GW170817重新激发了关于通过r过程核合成产生最重元素的天体物理起源的争论。 此类研究的关键方面是将天文观测与理论核合成产率进行有意义的比较。 为了进行现实的核合成计算，了解微观物理细节（如核反应速率）的不确定性，与了解天体物理环境建模的不确定性同样重要。 我们提出了一项使用Hauser-Feshbach模型研究远离稳定线的中子捕获速率计算不确定性的研究。 当我们将统计性质模型外推到r过程网络中的核素时，我们提供了一个定量衡量计算可靠性的方式。 我们选择了几种适用于中子捕获的态密度和伽马射线强度模型，并用它们来计算网络中每个核素的反应速率。 我们观察了统计性质如何影响理论反应速率。 然后使用蒙特卡罗技术对这些速率进行采样，并用于网络计算以映射可能的r过程丰度范围。 结果表明，不同计算之间的中子捕获速率可以相差几个数量级。 经验模型比半微观模型提供更平滑的结果。 然而，它们无法再现如壳层闭合等核结构变化。 虽然半微观模型可以预测远离稳定线的核结构效应，但这些结果是否在定量上准确尚不清楚。 这种不确定性对r过程产率的影响足够大，以至于阻碍了观测与计算之间的比较。 迫切需要在发展更好的伽马射线强度和态密度微观模型方面取得进展，以提高r过程模型的准确性。 显示英文摘要

摘要： Multimessenger observations of the neutron star merger event GW170817 have re-energized the debate over the astrophysical origins of the most massive elements via the r-process nucleosynthesis. A key aspect of such studies is comparing astronomical observations to theoretical nucleosynthesis yields in a meaningful way. To perform realistic nucleosynthesis calculations, understanding the uncertainty in microphysics details such as nuclear reaction rates is as essential as understanding uncertainties in modeling the astrophysical environment. We present an investigation of neutron capture rate calculations' uncertainty away from stability using the Hauser-Feshbach model. We provide a quantitative measure of the calculations' dependability when we extrapolate models of statistical properties to nuclei in an r-process network. We select several level density and gamma-ray strength models appropriate for neutron-capture and use them to calculate the reaction rate for each nucleus in the network. We observe how statistical properties affect the theoretical reaction rates. The rates are then sampled with the Monte Carlo technique and used in network calculations to map the range of possible r-process abundances. The results show that neutron capture rates can vary by a couple of orders of magnitude between calculations. Phenomenological models provide smoother results than semi-microscopic. They cannot, however, reproduce nuclear structure changes such as shell closures. While semi-microscopic models predict nuclear structure effects away from stability, it is not clear that these results are quantitatively accurate. The effect of the uncertainty on r-process yields is large enough to impede comparisons between observation and calculations. Progress in developing better microscopic models of gamma strengths and level densities is urgently needed to improve the fidelity of r-process models.