Statistical analysis method for the worldvolume hybrid Monte Carlo algorithm

Statistical analysis method for the worldvolume hybrid Monte Carlo algorithm
复制标题

世界体积混合蒙特卡罗算法的统计分析方法

DOI:
10.1093/ptep/ptab133
复制
发表时间:
2021
影响因子:
3.5
通讯作者:
Namekawa Yusuke
Namekawa Yusuke
中科院分区:
物理与天体物理4区
文献类型:
--
作者:
Fukuma Masafumi;Matsumoto Nobuyuki;Namekawa Yusuke

文献摘要

参考文献

被引文献

相似文献

我们讨论了世界体积混合蒙特卡罗(WV-HMC)算法的统计分析方法[M.Fukuma和N.MatSumoto,Prog.西奥。实验Phys.2021,023B08(2021)],它是最近引入的,它的引入大大降低了回火的Lefschetz顶针方法的计算成本。在WV-HMC算法中,位形空间是变形积分曲面的连续累加(WorldVolume),并考虑了WorldVolume中各个子区域的样本平均值。我们证明了,如果世界体积中的样本生成为马尔科夫链,则子样本也可以被视为马尔可夫链。这确保了将标准统计技术应用于WV-HMC算法。我们特别研究了马尔可夫链在各个子区域的自相关时间,发现在一个子样本中的概率与相应子样本的自相关时间之间存在线性关系。对于手征随机矩阵模型,我们用数值方法证实了这一标度律。
We discuss the statistical analysis method for the worldvolume hybrid Monte Carlo (WV-HMC) algorithm [M. Fukuma and N. Matsumoto, Prog. Theor. Exp. Phys.2021, 023B08 (2021)], which was recently introduced to substantially reduce the computational cost of the tempered Lefschetz thimble method. In the WV-HMC algorithm, the configuration space is a continuous accumulation (worldvolume) of deformed integration surfaces, and sample averages are considered for various subregions in the worldvolume. We prove that, if a sample in the worldvolume is generated as a Markov chain, then the subsample in the subregion can also be regarded as a Markov chain. This ensures the application of the standard statistical techniques to the WV-HMC algorithm. We particularly investigate the autocorrelation times for the Markov chains in various subregions, and find that there is a linear relation between the probability of being in a subregion and the autocorrelation time for the corresponding subsample. We numerically confirm this scaling law for a chiral random matrix model.
使用路径优化解决符号问题的简单方法
DOI: --
发表时间: 2018
影响因子: 5.4
作者:
F. Bursa;M. Kroyter
通讯作者: M. Kroyter
DOI: 10.1093/ptep/ptab010
发表时间: 2020-12
影响因子: 3.5
作者:
M. Fukuma;N. Matsumoto
通讯作者: M. Fukuma;N. Matsumoto
顶针之间的缓和过渡
DOI: 10.1103/physrevd.96.034513
发表时间: 2017
期刊: arXiv: High Energy Physics - Lattice
影响因子: --
作者:
A. Alexandru;G. Basar;P. Bedaque;N. Warrington
通讯作者: N. Warrington
符号优化流形上的有限密度蒙特卡罗计算
DOI: 10.1103/physrevd.97.094510
发表时间: 2018
期刊: Physical Review D
影响因子: 5
作者:
A. Alexandru;P. Bedaque;Henry Lamm;S. Lawrence
通讯作者: S. Lawrence
DOI: 10.1088/1742-6596/706/2/022004
发表时间: 2015-12
期刊: Journal of Physics: Conference Series
影响因子: --
作者:
G. Aarts
通讯作者: G. Aarts