重访查克-科丁顿模型的实空间重正化方法:改进的统计数据

Syl Shaw, Rudolf A. Römer
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引用次数: 0

摘要

实空间重正化群方法可以应用于量子霍尔转换的查克-科丁顿模型,从而对局域化临界指数($\nu$)进行方便的数值估计。之前的研究发现$\nu\sim 2.39$大大低于目前通过转移矩阵($\nu\approx 2.593$)和精确对角研究($\nu=2.58(3)$)得出的最佳估计值。通过增加500倍的数据量,我们现在可以测量到更接近临界点的数据,并找到一个改进的估计值 $\nu\approx 2.51$。这与之前的两个数值仅相差 $\sim 3\%$ ,已经优于经典小室重正化方法的精度 $\sim 7\%$ ,而我们的方法正是从经典小室重正化方法改编而来的。我们还研究了之前提出的将查克-科丁顿模型与经典散射模型混合的方法,其目的是为理解为什么实验估计值会低于2.3美元提供一条途径。在我们的RG单元中实施这种混合后,我们发现$\nu$的值只会进一步增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-space renormalisation approach to the Chalker-Coddington model revisited: improved statistics
The real-space renormalisation group method can be applied to the Chalker-Coddington model of the quantum Hall transition to provide a convenient numerical estimation of the localisation critical exponent, $\nu$. Previous such studies found $\nu\sim 2.39$ which falls considerably short of the current best estimates by transfer matrix ($\nu\approx 2.593$) and exact-diagonalisation studies ($\nu=2.58(3)$). By increasing the amount of data $500$ fold we can now measure closer to the critical point and find an improved estimate $\nu\approx 2.51$. This deviates only $\sim 3\%$ from the previous two values and is already better than the $\sim 7\%$ accuracy of the classical small-cell renormalisation approach from which our method is adapted. We also study a previously proposed mixing of the Chalker-Coddington model with a classical scattering model which is meant to provide a route to understanding why experimental estimates give a lower $\nu\sim 2.3$. Upon implementing this mixing into our RG unit, we find only further increases to the value of $\nu$.
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