StateVector BoundaryModuleDrivenBase::getBoundary( const StateVector& Reference, const char dim, const double t){
// TODO Make the boundary both transmissive and driven.
// As it stands, it is possible to generate instabilities when backscattered waves meet the boundary.
(void)Reference;
double driventerm = getDrivenTerm(t);
StateVector Boundary;
// Set to zero
Boundary = ZEROSTATE;
// Calculate driven part
double electric, magnetic;
magnetic = driventerm;
electric = c_eta0 * magnetic;
// Add to boundary
switch(dim){
case 'x':
switch(mPOL){
case TE:
Boundary.Ey() += electric;
Boundary.Hz() += magnetic;
break;
case TM:
Boundary.Ez() += electric;
Boundary.Hy() += magnetic;
break;
}
break;
case 'y':
switch(mPOL){
case TE:
Boundary.Ex() += electric;
Boundary.Hz() += magnetic;
break;
case TM:
Boundary.Ez() += electric;
Boundary.Hx() += magnetic;
break;
}
break;
}
return Boundary;
}
void FT_Controller::exec(){
// Temporary function: should be replaced with something sturdier
// Perhaps implement an 'overseer' class that controls the solver, which data should be printed, when to print, etc.
// Get length of a single period
Setting& BoundCfg = mCfg.lookup("Boundaries");
int BoundSize = BoundCfg.getLength();
double freq = 0.;
double T;
for( int ii=0; ii<BoundSize; ii++){
Setting& thisCfg = BoundCfg[ii];
try{
Setting& params = thisCfg.lookup("params");
freq = params.lookup("frequency");
} catch(const std::exception&) {}
}
if( freq == 0.){
std::cerr << "ERROR: zero frequency" << std::endl;
exit(EXIT_FAILURE);
} else {
T = 2*M_PI/freq;
}
// Get circle center
Setting& InitCfg = mCfg.lookup("Initialisation");
Setting& CircleCfg = InitCfg.lookup("Circle");
double circleX, circleY;
circleX = CircleCfg.lookup("params.center.x");
circleY = CircleCfg.lookup("params.center.y");
// Get number of time steps in single period
// Assumes constant timestep. Valid for free-space Maxwell's equations, but not always true otherwise.
int N = ceil(T/mSolver.pTimer->dt());
std::cout << "Frequency: " << freq << std::endl;
std::cout << "Period: " << T << std::endl;
std::cout << "Timestep: " << mSolver.pTimer->dt() << std::endl;
std::cout << "Number of timesteps per period: " << N << std::endl;
// Determine number of cells in the near-field near PEC
int n_cells = 0;
int x_start = mSolver.pGrid->startX();
int x_end = mSolver.pGrid->endX();
int y_start = mSolver.pGrid->startY();
int y_end = mSolver.pGrid->endY();
BoundaryGeometry Boundary;
double levelset;
for( int ii=x_start; ii<x_end; ii++){
for( int jj=y_start; jj<y_end; jj++){
Boundary = mSolver.pGrid->boundary(ii,jj);
levelset = mSolver.pGrid->levelset(ii,jj);
if( Boundary.isCut() ) n_cells++;
}
}
// Populate phi vector in the order that near-field cells are detected
std::vector<double> Phi(n_cells);
double phi;
double x, y;
int kk=0;
for( int ii=x_start; ii<x_end; ii++){
for( int jj=y_start; jj<y_end; jj++){
Boundary = mSolver.pGrid->boundary(ii,jj);
levelset = mSolver.pGrid->levelset(ii,jj);
if( Boundary.isCut() ){
x = (ii-mSolver.pGrid->bound()+0.5)*mSolver.pGrid->dx()-circleX;
y = (jj-mSolver.pGrid->bound()+0.5)*mSolver.pGrid->dy()-circleY;
phi = atan2(y,x) * 180 / M_PI;
if(phi>=0.){
Phi[kk] = phi;
} else {
Phi[kk] = 360 + phi;
}
kk++;
}
}
}
// Advance 10 full periods. This is enough time for the system to reach steady state
while( mSolver.pTimer->t() < 10*T ) mSolver.advance();
// Set N to power of 2
int new_N = 1;
while(new_N<N) new_N*=2;
mSolver.pTimer->setDt(T/new_N);
N = new_N;
std::cout << "Calibrated number of timesteps per period: " << N << std::endl;
// Set up storage
std::vector<double> allTimeDomain( N*n_cells); // Stores time domain data at all cells
std::vector<double> TimeDomainReal(N); // Stores real time domain data at a single grid location
std::vector<double> TimeDomainImag(N); // Stores imaginary time domain data at a single grid location (all zeroes)
std::vector<double> FreqDomainReal(N); // Stores real frequency domain data at a single grid location
std::vector<double> FreqDomainImag(N); // Stores imaginary frequency domain data at a single grid location
std::vector<double> Amplitude(n_cells); // Stores amplitude of frequency domain data
// Iterate over another full period, storing data at each time step
int cells = 0;
StateVector State;
for( int timestep = 0; timestep < N; timestep++){
if(timestep>0) mSolver.advance();
for( int ii=x_start; ii<x_end; ii++){
for( int jj=y_start; jj<y_end; jj++){
Boundary = mSolver.pGrid->boundary(ii,jj);
levelset = mSolver.pGrid->levelset(ii,jj);
if( Boundary.isCut() ){
State = mSolver.pGrid->state(ii,jj);
allTimeDomain[ cells*N + timestep] = State.Hz();
cells++;
}
}
}
cells = 0;
}
// Fourier transform one point at a time and print;
FT_Module FT(N);
double realpart;
double imagpart;
std::ofstream PEC_test_file("PEC_test_file.dat");
for( cells=0; cells<n_cells; cells++){
// copy allTimeDomain into TimeDomain
for( int timestep=0; timestep<N; timestep++){
TimeDomainReal[timestep] = allTimeDomain[ cells*N + timestep];
TimeDomainImag[timestep] = 0.;
}
// Perform Fourier transform
FT.exec( TimeDomainReal, TimeDomainImag, FreqDomainReal, FreqDomainImag);
realpart = 2*FreqDomainReal[1]/N;
imagpart = 2*FreqDomainImag[1]/N;
// Calculate amplitude
Amplitude[cells] = sqrt(realpart*realpart + imagpart*imagpart);
}
// Get normalising constant
double max=1.0;//0.;
/* for( cells=0; cells<n_cells; cells++){
max = (Amplitude[cells] > max) ? Amplitude[cells] : max;
}*/
// Print normalised data
for( cells=0; cells<n_cells; cells++){
PEC_test_file << Phi[cells] << '\t'
<< Amplitude[cells]/max << std::endl;
}
(void)levelset;
return;
}
