scholarly journals Green’s function Monte Carlo study of SU(3) lattice gauge theory in(3+1)D

2000 ◽  
Vol 62 (7) ◽  
Author(s):  
C. J. Hamer ◽  
M. Samaras ◽  
R. J. Bursill
Keyword(s):  
Monte Carlo ◽  
Gauge Theory ◽  
Green’S Function ◽  
Green's Function ◽  
Lattice Gauge Theory ◽  
Monte Carlo Study ◽  
Lattice Gauge ◽  
Green's Function Monte Carlo

scholarly journals MONTE CARLO STUDY OF GLUEBALL MASSES IN THE HAMILTONIAN LIMIT OF SU(3) LATTICE GAUGE THEORY

2006 ◽  
Vol 21 (13n14) ◽  
pp. 2905-2936 ◽  
Author(s):  
MUSHTAQ LOAN ◽  
XIANG-QIAN LUO ◽  
ZHI-HUAN LUO
Keyword(s):  
Monte Carlo ◽  
Gauge Theory ◽  
Lattice Spacing ◽  
Lattice Gauge Theory ◽  
Axial Vector ◽  
Accurate Determination ◽  
Monte Carlo Study ◽  
Euclidean Case ◽  
Reliable Technique ◽  
Lattice Gauge

Using Standard Euclidean Monte Carlo techniques, we discuss in detail the extraction of the glueball masses of four-dimensional SU(3) lattice gauge theory in the Hamiltonian limit, where the temporal lattice spacing is zero. By taking into account the renormalization of both the anisotropy and the Euclidean coupling, we calculate the string tension and masses of the scalar, axial vector and tensor states using standard Wilson action on increasingly anisotropic lattices, and make an extrapolation to the Hamiltonian limit. The results are compared with estimates from various other Hamiltonian and Euclidean studies. We find that more accurate determination of the glueball masses and the mass ratios has been achieved in the Hamiltonian limit and the results are a significant improvement upon previous Hamiltonian estimates. The continuum predictions are then found by extrapolation of results obtained from smallest values of spatial lattice spacing. For the lightest scalar, tensor and axial vector states we obtain masses of m0++ = 1654±83 MeV , m2++ = 2272±115 MeV and m1+- = 2940±165 MeV , respectively. These are consistent with the estimates obtained in the previous studies in the Euclidean limit. The consistency is a clear evidence of universality between Euclidean and Hamiltonian formulations. From the accuracy of our estimates, we conclude that the standard Euclidean Monte Carlo method is a reliable technique for obtaining results in the Hamiltonian version of the theory, just as in Euclidean case.

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