//Set the function parameters
bool NormalisedSumPDF::SetPhysicsParameters( ParameterSet * NewParameterSet )
{
PhysicsParameter * newFraction = NewParameterSet->GetPhysicsParameter(fractionName);
if ( newFraction->GetUnit() == "NameNotFoundError" )
{
cerr << "Parameter \"" << (string)fractionName << "\" expected but not found" << endl;
return false;
}
else
{
double newFractionValue = newFraction->GetValue();
//Stupidity check
if ( newFractionValue > 1.0 || newFractionValue < 0.0 )
{
//cerr << "Requested impossible fraction: " << newFractionValue << endl;
//return false;
}
else
{
firstFraction = newFractionValue;
firstPDF->UpdatePhysicsParameters( NewParameterSet );
secondPDF->UpdatePhysicsParameters( NewParameterSet );
bool output = allParameters.SetPhysicsParameters( NewParameterSet );
return output;
}
}
return false;
}
//Use Migrad to minimise the given function
void FumiliWrapper::Minimise()
{
ParameterSet * newParameters = RapidFunction->GetParameterSet();
vector<string> allNames = newParameters->GetAllNames();
// int numParams = allNames.size();
/*
// Fill a vector of doubles for each set of physics parameters that you
// want to sample. What about case where Apara_sq + Aperp_sq > 1?
vector< vector<double> > positions;
PhysicsBottle* bottle = NewFunction->GetPhysicsBottle();
ParameterSet* parameters = bottle->GetParameterSet();
vector<string> names = parameters->GetAllNames();
double nsteps = 1;
for( int k = 0; k < names.size(); ++k)
{
for( int j = 0; j < nsteps; ++j)
{
vector<double> tempPos;
for( int i = 0; i < names.size(); ++i )
{
double value;
if ( i != k )
{
value = parameters->GetPhysicsParameter(names[i])->GetValue();
}
else
{
double min = parameters->GetPhysicsParameter(names[i])->GetMinimum();
double max = parameters->GetPhysicsParameter(names[i])->GetMaximum();
double step = (max - min)/nsteps;
value = min + j * step;
}
tempPos.push_back(value);
}
positions.push_back(tempPos);
}
}
*/
// Fill a vector of doubles for each set of observables
vector< vector<double> > positions;
PhysicsBottle* bottle = RapidFunction->GetPhysicsBottle();
PhaseSpaceBoundary* boundary = bottle->GetResultDataSet(0)->GetBoundary();
vector<string> names = boundary->GetAllNames();
vector<double> observableSteps;
int nsteps = 10;
// Could make this faster...
for ( int step = 0; step < nsteps; ++step)
{
vector<double> tempPos;
for( unsigned int observable = 0; observable < names.size(); ++observable )
{
if ( !boundary->GetConstraint(names[observable])->IsDiscrete() )
{
double min = boundary->GetConstraint(names[observable])->GetMinimum();
double max = boundary->GetConstraint(names[observable])->GetMinimum();
double delta = (max - min)/nsteps;
double position = min + step*delta;
tempPos.push_back( position );
}
else
{
double value = boundary->GetConstraint(names[observable])->CreateObservable()->GetValue();
tempPos.push_back( value );
}
}
positions.push_back(tempPos);
}
// Now, get the FumiliFCNBase function which will be passed to the Fumili minimiser
FumiliStandardMaximumLikelihoodFCN fumFCN( *function, positions );
// Setup the minimiser
MnFumiliMinimize fumili( fumFCN, *( function->GetMnUserParameters() ), (unsigned)Quality);//MINUIT_QUALITY);
// Do the minimisation
FunctionMinimum minimum = fumili( (unsigned)maxSteps, bestTolerance );//(int)MAXIMUM_MINIMISATION_STEPS, FINAL_GRADIENT_TOLERANCE );
// Once we have the FunctionMinimum, code same as in other Wrappers
//Create the fit results
const MnUserParameters * minimisedParameters = &minimum.UserParameters();
ResultParameterSet * fittedParameters = new ResultParameterSet( allNames );
for ( unsigned int nameIndex = 0; nameIndex < allNames.size(); ++nameIndex)
{
string parameterName = allNames[nameIndex];
PhysicsParameter * oldParameter = newParameters->GetPhysicsParameter( parameterName );
double parameterValue = minimisedParameters->Value( parameterName.c_str() );
double parameterError = minimisedParameters->Error( parameterName.c_str() );
fittedParameters->SetResultParameter( parameterName, parameterValue, oldParameter->GetOriginalValue(), parameterError,
-oldParameter->GetMinimum(), oldParameter->GetMaximum(),
oldParameter->GetType(), oldParameter->GetUnit() );
}
int fitStatus;
if ( !minimum.HasCovariance() )
{
fitStatus = 0;
}
else if ( !minimum.HasAccurateCovar() )
{
fitStatus = 1;
}
else if ( minimum.HasMadePosDefCovar() )
{
fitStatus = 2;
}
else
{
fitStatus = 3;
}
PhysicsBottle* newBottle = RapidFunction->GetPhysicsBottle();
fitResult = new FitResult( minimum.Fval(), fittedParameters, fitStatus, newBottle );
}
