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Grid/lib/qcd/hmc/HMC.h

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//--------------------------------------------------------------------
/*! @file HMC.h
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* @brief Classes for Hybrid Monte Carlo update
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*
* @author Guido Cossu
* Time-stamp: <2015-07-30 16:58:26 neo>
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*/
//--------------------------------------------------------------------
#ifndef HMC_INCLUDED
#define HMC_INCLUDED
#include <string>
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namespace Grid{
namespace QCD{
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struct HMCparameters{
Integer StartTrajectory;
Integer Trajectories; /* @brief Number of sweeps in this run */
bool MetropolisTest;
Integer NoMetropolisUntil;
HMCparameters(){
////////////////////////////// Default values
MetropolisTest = true;
NoMetropolisUntil = 10;
StartTrajectory = 0;
Trajectories = 200;
/////////////////////////////////
}
};
template<class GaugeField>
class HmcObservable {
public:
virtual void TrajectoryComplete (int traj, GaugeField &U, GridSerialRNG &sRNG, GridParallelRNG & pRNG )=0;
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};
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// template <class GaugeField, class Integrator, class Smearer, class Boundary>
template <class GaugeField, class IntegratorType>
class HybridMonteCarlo {
private:
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const HMCparameters Params;
GridSerialRNG &sRNG; // Fixme: need a RNG management strategy.
GridParallelRNG &pRNG; // Fixme: need a RNG management strategy.
GaugeField & Ucur;
IntegratorType &TheIntegrator;
std::vector<HmcObservable<GaugeField> *> Observables;
/////////////////////////////////////////////////////////
// Metropolis step
/////////////////////////////////////////////////////////
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bool metropolis_test(const RealD DeltaH){
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RealD rn_test;
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RealD prob = std::exp(-DeltaH);
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random(sRNG,rn_test);
std::cout<<GridLogMessage<< "--------------------------------------------\n";
std::cout<<GridLogMessage<< "dH = "<<DeltaH << " Random = "<< rn_test <<"\n";
std::cout<<GridLogMessage<< "Acc. Probability = " << ((prob<1.0)? prob: 1.0)<< " ";
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if((prob >1.0) || (rn_test <= prob)){ // accepted
std::cout<<GridLogMessage <<"-- ACCEPTED\n";
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return true;
} else { // rejected
std::cout<<GridLogMessage <<"-- REJECTED\n";
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return false;
}
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}
/////////////////////////////////////////////////////////
// Evolution
/////////////////////////////////////////////////////////
RealD evolve_step(GaugeField& U){
TheIntegrator.refresh(U,pRNG); // set U and initialize P and phi's
RealD H0 = TheIntegrator.S(U); // initial state action
std::cout<<GridLogMessage<<"Total H before = "<< H0 << "\n";
TheIntegrator.integrate(U);
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RealD H1 = TheIntegrator.S(U); // updated state action
std::cout<<GridLogMessage<<"Total H after = "<< H1 << "\n";
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return (H1-H0);
}
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public:
/////////////////////////////////////////
// Constructor
/////////////////////////////////////////
HybridMonteCarlo(HMCparameters Pms, IntegratorType &_Int, GridSerialRNG &_sRNG, GridParallelRNG &_pRNG, GaugeField &_U ) :
Params(Pms),
TheIntegrator(_Int),
sRNG(_sRNG),
pRNG(_pRNG),
Ucur(_U)
{
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}
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~HybridMonteCarlo(){};
void AddObservable(HmcObservable<GaugeField> *obs) {
Observables.push_back(obs);
}
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void evolve(void){
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Real DeltaH;
GaugeField Ucopy(Ucur._grid);
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// Actual updates (evolve a copy Ucopy then copy back eventually)
for(int traj=Params.StartTrajectory; traj < Params.Trajectories+Params.StartTrajectory; ++traj){
std::cout<<GridLogMessage << "-- # Trajectory = "<< traj << "\n";
Ucopy = Ucur;
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DeltaH = evolve_step(Ucopy);
bool accept = true;
if ( traj > Params.NoMetropolisUntil) {
accept = metropolis_test(DeltaH);
}
if ( accept ) {
Ucur = Ucopy;
}
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plaq = WilsonLoops<GaugeField>::avgPlaquette(Ucur);
std::cout << " Now gauge field has plaq = "<< plaq <<std::endl;
for(int obs = 0;obs<Observables.size();obs++){
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Observables[obs]->TrajectoryComplete (traj+1,Ucur,sRNG,pRNG);
}
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}
}
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};
}// QCD
}// Grid
#endif