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Odd-Flavor Hybrid Monte Carlo Algorithm For Lattice Qcd

Author

Listed:
  • TETSUYA TAKAISHI

    (Hiroshima University of Economics, Hiroshima, 731-0192, Japan)

  • PHILIPPE de FORCRAND

    (Institut für Theoretische Physik, ETH Hönggerberg, CH-8093 Zürich, Switzerland;
    CERN, Theory Division, CH-1211 Genève 23, Switzerland)

Abstract

We discuss hybrid Monte Carlo algorithms for odd-flavor lattice QCD simulations. The algorithms include a polynomial approximation, which enables us to simulate odd-flavor QCD in the framework of the hybrid Monte Carlo algorithm. In order to make the algorithms exact, the correction factor to the polynomial approximation is also included in an economical, stochastic way. We test the algorithms fornf= 1,1 + 1and2 + 1flavors and compare results with other algorithms.

Suggested Citation

  • TETSUYA TAKAISHI & PHILIPPE de FORCRAND, 2002. "Odd-Flavor Hybrid Monte Carlo Algorithm For Lattice Qcd," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 13(03), pages 343-365.
    • Handle: RePEc:wsi:ijmpcx:v:13:y:2002:i:03:n:s0129183102003152
    DOI: 10.1142/S0129183102003152
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    Cited by:

    1. Takaishi, Tetsuya, 2018. "Bias correction in the realized stochastic volatility model for daily volatility on the Tokyo Stock Exchange," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 500(C), pages 139-154.
    2. Takaishi, Tetsuya, 2017. "Rational GARCH model: An empirical test for stock returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 451-460.

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