#include using namespace Grid; // Function used for Chebyshev smearing // Real MomentumSmearing(Real p2) { return (1 - 4.0*p2) * exp(-p2/4); } Real DistillationSmearing(Real p2) { if ( p2 > 0.5 ) return 0.0; else return 1.0; } // Flip sign to make prop to p^2, not -p^2 relative to last example template class CovariantLaplacianCshift : public SparseMatrixBase { public: INHERIT_GIMPL_TYPES(Gimpl); GridBase *grid; GaugeField U; CovariantLaplacianCshift(GaugeField &_U) : grid(_U.Grid()), U(_U) { }; virtual GridBase *Grid(void) { return grid; }; virtual void M (const Field &in, Field &out) { out=Zero(); for(int mu=0;mu(U, mu); // NB: Inefficent out = out - Gimpl::CovShiftForward(Umu,mu,in); out = out - Gimpl::CovShiftBackward(Umu,mu,in); out = out + 2.0*in; } }; virtual void Mdag (const Field &in, Field &out) { M(in,out);}; // Laplacian is hermitian virtual void Mdiag (const Field &in, Field &out) {assert(0);}; // Unimplemented need only for multigrid virtual void Mdir (const Field &in, Field &out,int dir, int disp){assert(0);}; // Unimplemented need only for multigrid virtual void MdirAll (const Field &in, std::vector &out) {assert(0);}; // Unimplemented need only for multigrid }; int main(int argc, char ** argv) { Grid_init(&argc, &argv); typedef LatticeColourVector Field; auto latt_size = GridDefaultLatt(); auto simd_layout = GridDefaultSimd(Nd,vComplex::Nsimd()); auto mpi_layout = GridDefaultMpi(); GridCartesian Grid(latt_size,simd_layout,mpi_layout); GridParallelRNG RNG(&Grid); RNG.SeedFixedIntegers(std::vector({45,12,81,9})); LatticeGaugeField U(&Grid); SU::ColdConfiguration(RNG,U); typedef CovariantLaplacianCshift Laplacian_t; Laplacian_t Laplacian(U); ColourVector ColourKronecker; ColourKronecker = Zero(); ColourKronecker()()(0) = 1.0; Coordinate site({latt_size[0]/2, latt_size[1]/2, latt_size[2]/2, 0}); Field kronecker(&Grid); kronecker = Zero(); pokeSite(ColourKronecker,kronecker,site); Field psi(&Grid), chi(&Grid); ////////////////////////////////////// // Classic Wuppertal smearing ////////////////////////////////////// Integer Iterations = 80; Real width = 2.0; Real coeff = (width*width) / Real(4*Iterations); chi=kronecker; // chi = (1-p^2/2N)^N kronecker for(int n = 0; n < Iterations; ++n) { Laplacian.M(chi,psi); chi = chi - coeff*psi; } std::cout << " Wuppertal smeared operator is chi = \n" << chi < HermOp(Laplacian); std::cout << " Checking spectral range of our POSITIVE definite operator \n"; PowerMethod PM; PM(HermOp,kronecker); // Chebyshev ChebySmear(lo,hi,20,DistillationSmearing); Chebyshev ChebySmear(lo,hi,20,MomentumSmearing); { std::ofstream of("chebysmear"); ChebySmear.csv(of); } ChebySmear(HermOp,kronecker,chi); std::cout << " Chebyshev smeared operator is chi = \n" << chi <