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.
Noise reduction algorithm for Glueball correlators
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abstract
We present an error reduction method for obtaining glueball correlators from monte carlo simulations of SU(3) lattice gauge theory. We explore the scalar and tensor channels at three different lattice spacings. Using this method we can follow glueball correlators to temporal separations even up to 1 fermi. We estimate the improvement over the naive method and compare our results with existing computations.
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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.