Speeding up the Hybrid-Monte-Carlo algorithm for dynamical fermions

被引：9
|
作者：
Hasenbusch, M [1 ]
Jansen, K [1 ]
机构：
[1] DESY, NIC, D-15735 Zeuthen, Germany
来源：
NUCLEAR PHYSICS B-PROCEEDINGS SUPPLEMENTS | 2002年 / 106卷
关键词：
D O I：
10.1016/S0920-5632(01)01933-8
中图分类号：
O412 [相对论、场论]; O572.2 [粒子物理学];
学科分类号：
摘要：
We propose a modification of the Hybrid-Monte-Carlo algorithm that allows for a larger step-size of the integration scheme at constant acceptance rate. The key ingredient is the splitting of the pseudo-fermion action into two parts. We test our proposal at the example of the two-dimensional lattice Schwinger model and four-dimensional lattice QCD with two degenerate flavours of Wilson-fermions.
引用
收藏
页码：1076 / 1078
页数：3
相关论文
共 50 条
  • [11] Speeding up Monte Carlo simulation of patchy hard cylinders
    Alberto Giacomo Orellana
    Emanuele Romani
    Cristiano De Michele
    The European Physical Journal E, 2018, 41
  • [12] General Method for Speeding Up Kinetic Monte Carlo Simulations
    Rego, Artur S. C.
    Brandao, Amanda L. T.
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2020, 59 (19) : 9034 - 9042
  • [13] Speeding up Monte Carlo simulation of patchy hard cylinders
    Orellana, Alberto Giacomo
    Romani, Emanuele
    De Michele, Cristiano
    EUROPEAN PHYSICAL JOURNAL E, 2018, 41 (04):
  • [14] Hybrid Monte Carlo approach to the entanglement entropy of interacting fermions
    Drut, Joaquin E.
    Porter, William J.
    PHYSICAL REVIEW B, 2015, 92 (12):
  • [15] Accelerating the hybrid Monte Carlo algorithm
    Khan, AA
    Bakeyev, T
    Göckeler, M
    Horsley, R
    Pleiter, D
    Rakow, P
    Schäfer, A
    Schierholz, G
    Stüben, H
    PHYSICS LETTERS B, 2003, 564 (3-4) : 235 - 240
  • [16] A polynomial hybrid Monte Carlo algorithm
    Frezzotti, R
    Jansen, K
    PHYSICS LETTERS B, 1997, 402 (3-4) : 328 - 334
  • [17] Speeding up Monte Carlo integration: Control neighbors for optimal convergence
    Leluc, Remi
    Portier, Francois
    Segers, Johan
    Zhuman, Aigerim
    BERNOULLI, 2025, 31 (02) : 1160 - 1180
  • [18] FAST ALGORITHM FOR MONTE-CARLO SIMULATIONS OF SYSTEMS WITH FERMIONS
    GRADY, M
    PHYSICAL REVIEW D, 1985, 32 (06): : 1496 - 1502
  • [19] Speeding up many-objective optimization by Monte Carlo approximations
    Bringmann, Karl
    Friedrich, Tobias
    Igel, Christian
    Voss, Thomas
    ARTIFICIAL INTELLIGENCE, 2013, 204 : 22 - 29
  • [20] MONTE-CARLO CALCULATIONS WITH DYNAMICAL FERMIONS BY A LOCAL STOCHASTIC-PROCESS
    ROSSI, P
    ZWANZIGER, D
    NUCLEAR PHYSICS B, 1984, 243 (02) : 261 - 272
12345