论文标题
模拟\ emph {ab intio}无限核问题的计算
Emulating \emph{ab initio} computations of infinite nucleonic matter
论文作者
论文摘要
我们为无限核物质方程的计算构建有效的模拟器。这些仿真器基于基于子空间耦合群集方法的基础，我们在这里开发了一种称为小批量投票的新算法，以消除基于非热门汉密尔顿的模拟量子多体方法时可能出现的伪造状态。这些模拟器的效率和准确性促进了严格的统计分析，在该分析中，我们探索了$> 10^6 $的核物质预测，在近代到领先顺序下，具有显式$δ$ -isobars的手性相互作用模型的不同参数化。由核子核子散射相逐渐循环和光核的结合状态限制为\ nuc {4} {he}，我们使用历史匹配来识别手性相互作用的低能偶联常数的不可舒服的域。在这些领域内，我们使用采样/重要性进行了贝叶斯分析，并具有不同的可能性校准，并研究相互作用参数之间的相关性，光核中的校准可观察物和核物质饱和性能。
We construct efficient emulators for the \emph{ab initio} computation of the infinite nuclear matter equation of state. These emulators are based on the subspace-projected coupled-cluster method for which we here develop a new algorithm called small-batch voting to eliminate spurious states that might appear when emulating quantum many-body methods based on a non-Hermitian Hamiltonian. The efficiency and accuracy of these emulators facilitate a rigorous statistical analysis within which we explore nuclear matter predictions for $> 10^6$ different parametrizations of a chiral interaction model with explicit $Δ$-isobars at next-to-next-to leading order. Constrained by nucleon-nucleon scattering phase shifts and bound-state observables of light nuclei up to \nuc{4}{He}, we use history matching to identify non-implausible domains for the low-energy coupling constants of the chiral interaction. Within these domains we perform a Bayesian analysis using sampling/importance resampling with different likelihood calibrations and study correlations between interaction parameters, calibration observables in light nuclei, and nuclear matter saturation properties.
