9,073 research outputs found

    Physical results from 2+1 flavor Domain Wall QCD

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    We review recent results for the chiral behavior of meson masses and decay constants and the determination of the light quark masses by the RBC and UKQCD collaborations. We find that one-loop SU(2) chiral perturbation theory represents the behavior of our lattice data better than one-loop SU(3) chiral perturbation theory in both the pion and kaon sectors. The simulations have been performed using the Iwasaki gauge action at two different lattice spacings with the physical spatial volume held approximately fixed at (2.7 fm)^3. The Domain Wall fermion formulation was used for the 2+1 dynamical quark flavors: two (mass degenerate) light flavors with masses as light as roughly 1/5 the mass of the physical strange quark mass and one heavier quark flavor at approximately the value of the physical strange quark mass. On the ensembles generated with the coarser lattice spacing, we obtain for the physical average up- and down-quark and strange quark masses m_ud(MSbar,2GeV)=3.72(0.16)_stat(0.33)_ren(0.18)_syst MeV and m_s(MSbar,2GeV)=107.3(4.4)_stat(9.7)_ren(4.9)_syst MeV, respectively, while we find for the pion and kaon decay constants f_pi=124.1(3.6)_stat(6.9)_syst MeV, f_K=149.6(3.6)_stat(6.3)_syst MeV. The analysis for the finer lattice spacing has not been fully completed yet, but we already present some first (preliminary) results.Comment: 7 pages, 3 figures, 1 table, talk presented at the XXVI International Symposium on Lattice Field Theory, 14-19 July 2008, Williamsburg, VA, US

    Updating algorithms with multi-step stochastic correction

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    Nested multi-step stochastic correction offers a possibility to improve updating algorithms for numerical simulations of lattice gauge theories with fermions. The corresponding generalisations of the two-step multi-boson (TSMB) algorithm as well as some applications with hybrid Monte Carlo (HMC) algorithms are considered.Comment: 10 pages; discussion extende

    Seismic cycles, size of the largest events, and the avalanche size distribution in a model of seismicity

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    We address several questions on the behavior of a numerical model recently introduced to study seismic phenomena, that includes relaxation in the plates as a key ingredient. We make an analysis of the scaling of the largest events with system size, and show that when parameters are appropriately interpreted, the typical size of the largest events scale as the system size, without the necessity to tune any parameter. Secondly, we show that the temporal activity in the model is inherently non-stationary, and obtain from here justification and support for the concept of a "seismic cycle" in the temporal evolution of seismic activity. Finally, we ask for the reasons that make the model display a realistic value of the decaying exponent bb in the Gutenberg-Richter law for the avalanche size distribution. We explain why relaxation induces a systematic increase of bb from its value b≃0.4b\simeq 0.4 observed in the absence of relaxation. However, we have not been able to justify the actual robustness of the model in displaying a consistent bb value around the experimentally observed value b≃1b\simeq 1.Comment: 11 pages, 10 figure
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