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The Yang-Mills Spectrum from a 2-level Algorithm
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We investigate in detail a 2-level algorithm for the computation of 2-point functions of fuzzy Wilson loops in lattice gauge theory. Its performance and the optimization of its parameters are described in the context of 2+1D SU(2) gluodynamics. In realistic calculations of glueball masses, it is found that the reduction in CPU time for given error bars on the correlator at time-separation ~0.2fm, where a mass-plateau sets in, varies between 1.5 and 7 for the lightest glueballs in the non-trivial symmetry channels; only for the lightest glueball is the 2-level algorithm not helpful. For the heavier states, or for larger time-separations, the gain increases as expected exponentially in (mt). We present further physics applications in 2+1 and 3+1 dimensions and for different gauge groups that confirm these conclusions.
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Test of a two-level algorithm for the glueball spectrum in $SU(N_c)$ Yang-Mills theory
A new implementation of the two-level algorithm for SU(N_c) gauge theory produces glueball masses consistent with established lattice values and shows improved error scaling at large time separations.
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