Accessing the dynamics of large many-particle systems using the stochastic series expansion
被引:94
作者:
Dorneich, Ansgar
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机构:
Institut fur Theoretische Physik, Universität Würzburg, Am Hubland, 97074 Würzburg, GermanyInstitut fur Theoretische Physik, Universität Würzburg, Am Hubland, 97074 Würzburg, Germany
Dorneich, Ansgar
[1
]
Troyer, Matthias
论文数: 0引用数: 0
h-index: 0
机构:
Institut fur Theoretische Physik, Universität Würzburg, Am Hubland, 97074 Würzburg, GermanyInstitut fur Theoretische Physik, Universität Würzburg, Am Hubland, 97074 Würzburg, Germany
Troyer, Matthias
[1
]
机构:
[1] Institut fur Theoretische Physik, Universität Würzburg, Am Hubland, 97074 Würzburg, Germany
来源:
Physical Review E - Statistical, Nonlinear, and Soft Matter Physics
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2001年
/
64卷
/
6 II期
关键词:
Algorithms - Boundary conditions - Dynamics - Green's function - Hamiltonians - High energy physics - Mathematical models - Monte Carlo methods - Particle size analysis - Random processes - Temperature;
D O I:
10.1103/PhysRevE.64.066701
中图分类号:
学科分类号:
摘要:
An overview is given on stochastic series expansion (SSE) together with the implementation tricks and Green's functions measurements. By implementing SSE, both static and dynamical properties of very large systems of thousands of sites at very low temperatures can be accessed. Compared to the loop algorithm, SSE has the advantages of not suffering from exponential slowing down in external fields.