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Merge branch 'develop' into feature/hadrons
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f6aa82b7f2
@ -37,15 +37,15 @@ template <class Gimpl>
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class WilsonFlow: public Smear<Gimpl>{
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unsigned int Nstep;
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unsigned int measure_interval;
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RealD epsilon;
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mutable RealD epsilon, taus;
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mutable WilsonGaugeAction<Gimpl> SG;
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void evolve_step(typename Gimpl::GaugeField&) const;
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void evolve_step_adaptive(typename Gimpl::GaugeField&, RealD);
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RealD tau(unsigned int t)const {return epsilon*(t+1.0); }
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public:
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INHERIT_GIMPL_TYPES(Gimpl)
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@ -75,7 +75,9 @@ class WilsonFlow: public Smear<Gimpl>{
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// undefined for WilsonFlow
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}
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void smear_adaptive(GaugeField&, const GaugeField&, RealD maxTau);
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RealD energyDensityPlaquette(unsigned int step, const GaugeField& U) const;
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RealD energyDensityPlaquette(const GaugeField& U) const;
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};
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@ -101,20 +103,70 @@ void WilsonFlow<Gimpl>::evolve_step(typename Gimpl::GaugeField &U) const{
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Gimpl::update_field(Z, U, -2.0*epsilon); // V(t+e) = exp(ep*Z)*W2
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}
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template <class Gimpl>
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void WilsonFlow<Gimpl>::evolve_step_adaptive(typename Gimpl::GaugeField &U, RealD maxTau) {
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if (maxTau - taus < epsilon){
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epsilon = maxTau-taus;
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}
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std::cout << GridLogMessage << "Integration epsilon : " << epsilon << std::endl;
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GaugeField Z(U._grid);
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GaugeField Zprime(U._grid);
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GaugeField tmp(U._grid), Uprime(U._grid);
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Uprime = U;
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SG.deriv(U, Z);
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Zprime = -Z;
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Z *= 0.25; // Z0 = 1/4 * F(U)
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Gimpl::update_field(Z, U, -2.0*epsilon); // U = W1 = exp(ep*Z0)*W0
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Z *= -17.0/8.0;
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SG.deriv(U, tmp); Z += tmp; // -17/32*Z0 +Z1
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Zprime += 2.0*tmp;
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Z *= 8.0/9.0; // Z = -17/36*Z0 +8/9*Z1
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Gimpl::update_field(Z, U, -2.0*epsilon); // U_= W2 = exp(ep*Z)*W1
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Z *= -4.0/3.0;
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SG.deriv(U, tmp); Z += tmp; // 4/3*(17/36*Z0 -8/9*Z1) +Z2
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Z *= 3.0/4.0; // Z = 17/36*Z0 -8/9*Z1 +3/4*Z2
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Gimpl::update_field(Z, U, -2.0*epsilon); // V(t+e) = exp(ep*Z)*W2
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// Ramos
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Gimpl::update_field(Zprime, Uprime, -2.0*epsilon); // V'(t+e) = exp(ep*Z')*W0
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// Compute distance as norm^2 of the difference
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GaugeField diffU = U - Uprime;
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RealD diff = norm2(diffU);
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// adjust integration step
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taus += epsilon;
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std::cout << GridLogMessage << "Adjusting integration step with distance: " << diff << std::endl;
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epsilon = epsilon*0.95*std::pow(1e-4/diff,1./3.);
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std::cout << GridLogMessage << "New epsilon : " << epsilon << std::endl;
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}
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template <class Gimpl>
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RealD WilsonFlow<Gimpl>::energyDensityPlaquette(unsigned int step, const GaugeField& U) const {
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RealD td = tau(step);
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return 2.0 * td * td * SG.S(U)/U._grid->gSites();
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}
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template <class Gimpl>
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RealD WilsonFlow<Gimpl>::energyDensityPlaquette(const GaugeField& U) const {
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return 2.0 * taus * taus * SG.S(U)/U._grid->gSites();
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}
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//#define WF_TIMING
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template <class Gimpl>
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void WilsonFlow<Gimpl>::smear(GaugeField& out, const GaugeField& in) const {
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out = in;
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for (unsigned int step = 1; step <= Nstep; step++) {
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auto start = std::chrono::high_resolution_clock::now();
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std::cout << GridLogMessage << "Evolution time :"<< tau(step) << std::endl;
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evolve_step(out);
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auto end = std::chrono::high_resolution_clock::now();
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std::chrono::duration<double> diff = end - start;
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@ -132,6 +184,30 @@ void WilsonFlow<Gimpl>::smear(GaugeField& out, const GaugeField& in) const {
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}
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}
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template <class Gimpl>
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void WilsonFlow<Gimpl>::smear_adaptive(GaugeField& out, const GaugeField& in, RealD maxTau){
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out = in;
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taus = epsilon;
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unsigned int step = 0;
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do{
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step++;
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std::cout << GridLogMessage << "Evolution time :"<< taus << std::endl;
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evolve_step_adaptive(out, maxTau);
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std::cout << GridLogMessage << "[WilsonFlow] Energy density (plaq) : "
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<< step << " "
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<< energyDensityPlaquette(out) << std::endl;
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if( step % measure_interval == 0){
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std::cout << GridLogMessage << "[WilsonFlow] Top. charge : "
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<< step << " "
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<< WilsonLoops<PeriodicGimplR>::TopologicalCharge(out) << std::endl;
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}
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} while (taus < maxTau);
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}
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} // namespace QCD
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} // namespace Grid
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@ -33,7 +33,8 @@ namespace Grid{
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GRID_SERIALIZABLE_CLASS_MEMBERS(WFParameters,
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int, steps,
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double, step_size,
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int, meas_interval);
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int, meas_interval,
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double, maxTau); // for the adaptive algorithm
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template <class ReaderClass >
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@ -97,11 +98,13 @@ int main(int argc, char **argv) {
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WilsonFlow<PeriodicGimplR> WF(WFPar.steps, WFPar.step_size, WFPar.meas_interval);
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WF.smear(Uflow, Umu);
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WF.smear_adaptive(Uflow, Umu, WFPar.maxTau);
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RealD WFlow_plaq = WilsonLoops<PeriodicGimplR>::avgPlaquette(Uflow);
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RealD WFlow_TC = WilsonLoops<PeriodicGimplR>::TopologicalCharge(Uflow);
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RealD WFlow_T0 = WF.energyDensityPlaquette(Uflow);
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std::cout << GridLogMessage << "Plaquette "<< conf << " " << WFlow_plaq << std::endl;
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std::cout << GridLogMessage << "T0 "<< conf << " " << WFlow_T0 << std::endl;
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std::cout << GridLogMessage << "TopologicalCharge "<< conf << " " << WFlow_TC << std::endl;
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std::cout<< GridLogMessage << " Admissibility check:\n";
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@ -121,3 +124,29 @@ int main(int argc, char **argv) {
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}
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Grid_finalize();
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} // main
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/*
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Input file example
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JSON
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{
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"WilsonFlow":{
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"steps": 200,
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"step_size": 0.01,
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"meas_interval": 50,
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"maxTau": 2.0
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},
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"Configurations":{
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"conf_prefix": "ckpoint_lat",
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"rng_prefix": "ckpoint_rng",
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"StartConfiguration": 3000,
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"EndConfiguration": 3000,
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"Skip": 5
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}
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}
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*/
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