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
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发表时间:
2021
影响因子:
3.5
通讯作者:
Namekawa Yusuke
中科院分区:
文献类型:
--
作者:
Fukuma Masafumi;Matsumoto Nobuyuki;Namekawa Yusuke
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.
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影响因子:
5.4
作者:
F. Bursa;M. Kroyter
通讯作者:
M. Kroyter
影响因子:
3.5
作者:
M. Fukuma;N. Matsumoto
通讯作者:
M. Fukuma;N. Matsumoto
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
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