图解展开中时间积分的解析解:在实频图解蒙特卡罗中的应用

J. Vučičević, P. Stipsić, M. Ferrero
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引用次数: 3

摘要

在过去的几年里,人们对费米子在晶格上相互作用的图解蒙特卡罗(DiagMC)方法重新产生了兴趣。最近有一个很有希望的发展,允许人们现在绕过在Matsubara形式下的DiagMC计算中动态可观测值的分析延拓。这可以通过符号代数算法实现,该算法可用于解析求解费曼图的内部Matsubara频率求和。在本文中,我们采用了一种不同的方法,并表明它产生了改进的结果。本文给出了费曼图时域公式中虚时间积分的一个封闭解析解。我们实现并测试了基于该解析解的DiagMC算法,并表明它具有许多显着的优点。最重要的是,该算法具有足够的通用性,适用于任何类型的单时间相关函数序列,包括任何单粒子顶点插入。因此,它很容易允许使用动作转换方案,旨在提高级数的收敛性。通过执行频率分辨动作移位调谐,我们能够进一步改进该方法,并在只有3-4个扰动阶的非平凡状态下收敛自能量。最后,我们在许多常用的蒙特卡罗算法中确定了相同一般形式的时间积分,因此期望我们的解析解得到更广泛的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analytical solution for time integrals in diagrammatic expansions: Application to real-frequency diagrammatic Monte Carlo
The past years have seen a revived interest in the diagrammatic Monte Carlo (DiagMC) methods for interacting fermions on a lattice. A promising recent development allows one to now circumvent the analytical continuation of dynamic observables in DiagMC calculations within the Matsubara formalism. This is made possible by symbolic algebra algorithms, which can be used to analytically solve the internal Matsubara frequency summations of Feynman diagrams. In this paper, we take a different approach and show that it yields improved results. We present a closed-form analytical solution of imaginary-time integrals that appear in the time-domain formulation of Feynman diagrams. We implement and test a DiagMC algorithm based on this analytical solution and show that it has numerous significant advantages. Most importantly, the algorithm is general enough for any kind of single-time correlation function series, involving any single-particle vertex insertions. Therefore, it readily allows for the use of action-shifted schemes, aimed at improving the convergence properties of the series. By performing a frequency-resolved action-shift tuning, we are able to further improve the method and converge the self-energy in a non-trivial regime, with only 3-4 perturbation orders. Finally, we identify time integrals of the same general form in many commonly used Monte Carlo algorithms and therefore expect a broader usage of our analytical solution.
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