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48 lines
1.5 KiB
Julia
48 lines
1.5 KiB
Julia
using LatticeGPU, Test, CUDA
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T = Float64
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lp = SpaceParm{4}((16,16,16,16), (4,4,4,4), BC_PERIODIC, (0,0,0,0,0,0))
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gp = GaugeParm{T}(SU3{T}, 6.1, 1.0)
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dpar = DiracParam{T}(SU3fund,1.3,0.9,(1.0,1.0,1.0,1.0),0.0,0.0)
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ymws = YMworkspace(SU3, T, lp)
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dws = DiracWorkspace(SU3fund,T,lp);
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randomize!(ymws.mom, lp, ymws)
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U = exp.(ymws.mom)
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psi = scalar_field(Spinor{4,SU3fund{T}},lp);
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pfrandomize!(psi,lp)
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Ucp = deepcopy(U)
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psicp = deepcopy(psi)
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# First Integrate very precisely up to t=2 (Wilson)
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println(" # Very precise integration ")
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wflw = wfl_rk3(Float64, 0.0004, 1.0E-7)
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flw(U,psi, wflw, 5000, gp,dpar, lp, ymws, dws)
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pl_exact = Eoft_plaq(U, gp, lp, ymws)
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cl_exact = Eoft_clover(U, gp, lp, ymws)
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println(" - Plaq: ", pl_exact)
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println(" - Clover: ", cl_exact)
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Ufin = deepcopy(U)
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psifin = deepcopy(psi)
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# Now use Adaptive step size integrator:
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for tol in (1.0E-4, 1.0E-5, 1.0E-6, 1.0E-7, 1.0E-8)
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local wflw = wfl_rk3(Float64, 0.0001, tol)
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U .= Ucp
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psi .= psicp
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ns, eps = flw_adapt(U,psi, wflw, 2.0, gp,dpar,lp, ymws,dws)
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pl = Eoft_plaq(U, gp, lp, ymws)
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cl = Eoft_clover(U, gp, lp, ymws)
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psierr = sum(norm2.((psi.-psifin)))./prod(lp.iL)
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println(" # Adaptive integrator (tol=$tol): ", ns, " steps")
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U .= U ./ Ufin
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maxd = CUDA.mapreduce(dev_one, max, U, init=0.0)
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println(" - Plaq: ", pl," [diff: ", abs(pl-pl_exact), "; ",
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maxd, "]")
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println(" - Clover: ", cl, " [diff: ", abs(cl-cl_exact), "; ",
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maxd, "]")
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println(" - Fermion diff: ", psierr)
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end
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