标题： 动态模糊链接费米子的大范围全局随机梅特波利斯更新 显示英文标题

标题： Large Partial-Global Stochastic Metropolis Update for Dynamical Smeared Link Fermions

摘要： 我们使用最近提出的部分全局随机Metropolis算法，结合费米子矩阵约简和行列式分解改进，进行了带有HYP平滑的交错费米子的动力学模拟。 在本文中，我们讨论了作用量参数的选择，并在大约10 fm^4的格点上，研究了不同夸克质量值下四种和两种费米子味的自相关时间。 我们发现，当有两种味时，更新特别高效，使得在更大体积上的模拟成为可能。 显示英文摘要

摘要： We performed dynamical simulations with HYP smeared staggered fermions using the recently proposed partial-global stochastic Metropolis algorithm with fermion matrix reduction and determinant breakup improvements. In this paper we discuss our choice of the action parameters and study the autocorrelation time both with four and two fermionic flavors at different quark mass values on approximately 10 fm^4 lattices. We find that the update is especially efficient with two flavors making simulations on larger volumes feasible.