コード例 #1
0
//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;
}
コード例 #2
0
ParameterSet* VectoredFeldmanCousins::getParameterSet( ParameterSet* inputSet, ResultParameterSet* inputResult )
{
	// Model 1 nuisence parameters are not changed
	if( nuisenceModel == 0 )
	{
		return new ParameterSet( *inputSet );
	}
	// Model 2 nuisence parameters are varied within 1 sigma of their true value
	else if( nuisenceModel == 1 )
	{
		ParameterSet* tempSet = new ParameterSet( *inputSet );
		vector<string> all_params = tempSet->GetAllNames();
		for( vector<string>::iterator param_i = all_params.begin(); param_i != all_params.end(); ++param_i )
		{
			PhysicsParameter* thisParameter = tempSet->GetPhysicsParameter( *param_i );
			ResultParameter* thisResult = inputResult->GetResultParameter( *param_i );
			if( thisParameter->GetType() != "Fixed" && !thisResult->GetScanStatus() )
			{
				TRandom3* rand_gen = RapidFitRandom::GetRandomFunction();
				double new_value = rand_gen->Gaus( thisResult->GetValue(), thisResult->GetError() );
				thisParameter->SetBlindedValue( new_value );
				thisParameter->SetStepSize( thisResult->GetError() );
			}
		}
		return tempSet;
	}
	else
	{
		cout << endl << "\t\tUNKNOWN NUICENCE MODEL, NOT DOING ANTYTHING!!!!" << endl << endl;
		nuisenceModel = 0;
		return this->getParameterSet( inputSet, inputResult );
	}
}
コード例 #3
0
ファイル: FumiliWrapper.cpp プロジェクト: abmorris/RapidFit
//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  );
}
コード例 #4
0
ファイル: ScanStudies.cpp プロジェクト: kgizdov/RapidFit
//  Interface for internal calls
void ScanStudies::DoScan( MinimiserConfiguration * MinimiserConfig, FitFunctionConfiguration * FunctionConfig, ParameterSet* BottleParameters,
	vector< PDFWithData* > BottleData, vector< ConstraintFunction* > BottleConstraints, ScanParam* Wanted_Param, FitResultVector* output_interface,
	int OutputLevel, bool forceContinue )
{
	FunctionConfig->SetIntegratorTest( false );

	double uplim = Wanted_Param->GetMax();
	double lolim = Wanted_Param->GetMin();
	double npoints = Wanted_Param->GetPoints();
	string scanName = Wanted_Param->GetName();

	//	cout << "Performing Scan for the parameter " << scanName << endl ;

	// Get a pointer to the physics parameter to be scanned and fix it
	// CAREFUL:  this must be reset as it was at the end.
	PhysicsParameter* scanParameter = NULL;
	try{
		scanParameter = BottleParameters->GetPhysicsParameter(scanName);
	}
	catch(...)
	{
		cerr << "Couldn't find Parameter: " << scanName << ". Can NOT perform scan!" << endl << endl;
		exit(3763);
	}
	double originalValue = scanParameter->GetBlindedValue();
	string originalType = scanParameter->GetType();

	if( originalType == "Fixed" && fabs(uplim-lolim) < 1E-5 )
	{
		cerr << "Cannot Run a scan Using Parameter: " << scanName << endl;
		exit(3764);
	}

	scanParameter->SetType( "Fixed" ) ;
	BottleParameters->FloatedFirst();
	scanParameter = BottleParameters->GetPhysicsParameter(scanName);

	// Need to set up a loop , fixing the scan parameter at each point
	double deltaScan=0.;

	for( int si=0; si<int(npoints); ++si)
	{
		cout << "\n\nSINGLE SCAN NUMBER\t\t" << si+1 << "\t\tOF\t\t" <<int(npoints)<< endl<<endl;

		// Set scan parameter value
		if( int(npoints)!=1 ) deltaScan = (uplim-lolim) / (npoints-1.) ;
		else deltaScan=0;
		double scanVal = lolim+deltaScan*si;

		//      The FitFunction has the ability to change the content of the input ParameterSet by definition as it isn't defined as const
		scanParameter = BottleParameters->GetPhysicsParameter(scanName);
		scanParameter->SetBlindedValue( scanVal ) ;

		cout << "Fitting at:\t" << scanName << "=" << setw(6) << scanVal << setw(6) << " " << "StepSize: " << deltaScan << endl;

		output_interface->StartStopwatch();

		FitResult* scanStepResult=NULL;

		//BottleParameters->Print();

		try{
			//	Use the SafeFit as this always returns something when a PDF has been written to throw not exit
			//	Do a scan point fit
			//BottleParameters->Print();
			scanStepResult = FitAssembler::DoSafeFit( MinimiserConfig, FunctionConfig, BottleParameters, BottleData, BottleConstraints, forceContinue, OutputLevel );
		}
		catch( int e )
		{
			cerr << "Caught Scan Error: " << e << endl;
			exit(-987);
		}
		catch( ... )
		{
			cerr << "Caught Unknown Scan Error" << endl;
			exit(-986);
		}

		int retries = 0;
		int left_right = 1;
		int wiggle_step_num = 0;
		double scanVal_orig = scanVal;
		double wiggle_step_size = deltaScan/20.;


		while( scanStepResult->GetFitStatus() != 3 )
		{

			if( retries != 1 )
			{
				cout << "\n\t\t\tRETRYING FIT" << endl;
				scanVal = scanVal_orig;
				++retries;
			}
			else
			{
				if( int(wiggle_step_num/2)*2 == wiggle_step_num )	// Even
				{
					left_right = 1;
				}
				else							// Odd
				{
					left_right = -1;
				}
				//  remember 0/2 and 1/2 are both 0 as an integer

				scanVal = scanVal_orig + (double)left_right * wiggle_step_size * (double)int((wiggle_step_num)/2 + 1);

				cout << "\tStepping to: " << scanVal << " Retrying!" << endl;

				++wiggle_step_num;
			}

			//	Perform 10 steps either side of minima with 20th of the step size
			//	when more than 10 steps either side have strayed into next point on the scan
			//	This 'wiggle is only done in 1D here
			if( wiggle_step_num >= 20 ) break;

			scanParameter->SetBlindedValue( scanVal ) ;
			output_interface->StartStopwatch();
			scanStepResult = FitAssembler::DoSafeFit( MinimiserConfig, FunctionConfig, BottleParameters, BottleData, BottleConstraints, forceContinue, OutputLevel );
		}


		cout << "Fit Finished!\n" <<endl;

		//  THIS IS ALWAYS TRUE BY DEFINITION OF THE SCAN
		string name = Wanted_Param->GetName();
		string type = BottleParameters->GetPhysicsParameter( name )->GetType();
		string unit = BottleParameters->GetPhysicsParameter( name )->GetUnit();
		scanStepResult->GetResultParameterSet()->SetResultParameter( name, scanVal, scanVal, 0., scanVal, scanVal, type, unit );

		vector<string> Fixed_List = BottleParameters->GetAllFixedNames();
		vector<string> Fit_List = scanStepResult->GetResultParameterSet()->GetAllNames();
		for( unsigned short int i=0; i < Fixed_List.size() ; ++i )
		{
			bool found=false;
			for( unsigned short int j=0; j < Fit_List.size(); ++j )
			{
				if( Fit_List[j] == Fixed_List[i] )
				{
					found = true;
				}
			}
			if( !found )
			{
				string fixed_type = BottleParameters->GetPhysicsParameter( Fixed_List[i] )->GetType();
				string fixed_unit = BottleParameters->GetPhysicsParameter( Fixed_List[i] )->GetUnit();
				double fixed_value = BottleParameters->GetPhysicsParameter( Fixed_List[i] )->GetValue();
				scanStepResult->GetResultParameterSet()->ForceNewResultParameter( Fixed_List[i],
						fixed_value, fixed_value, 0., fixed_value, fixed_value, fixed_type, fixed_unit );
			}
		}

		scanStepResult->GetResultParameterSet()->GetResultParameter( scanName )->SetScanStatus( true );

		ResultFormatter::ReviewOutput( scanStepResult );

		output_interface->AddFitResult( scanStepResult );
	}

	// Reset the parameter as it was
	scanParameter = BottleParameters->GetPhysicsParameter(scanName);
	scanParameter->SetType( originalType ) ;
	scanParameter->SetBlindedValue( originalValue ) ;
}
コード例 #5
0
ファイル: ScanStudies.cpp プロジェクト: kgizdov/RapidFit
//  Interface for internal calls
void ScanStudies::DoScan2D( MinimiserConfiguration * MinimiserConfig, FitFunctionConfiguration * FunctionConfig, ParameterSet* BottleParameters,
	vector< PDFWithData* > BottleData, vector< ConstraintFunction* > BottleConstraints, pair<ScanParam*, ScanParam*> Param_Set,
	vector<FitResultVector*>* output_interface, int OutputLevel, bool forceContinue )
{
	FunctionConfig->SetIntegratorTest( false );

	//	vector<string> namez = BottleParameters->GetAllNames();
	vector<string> result_names = BottleParameters->GetAllNames();
	double uplim = Param_Set.first->GetMax();
	double lolim = Param_Set.first->GetMin();
	double npoints = Param_Set.first->GetPoints();

	string scanName = Param_Set.first->GetName();
	string scanName2 = Param_Set.second->GetName();


	// Get a pointer to the physics parameter to be scanned and fix it
	// CAREFUL:  this must be reset as it was at the end.
	PhysicsParameter* scanParameter = NULL;
	try{
		scanParameter = BottleParameters->GetPhysicsParameter(scanName);
	}
	catch(...)
	{
		cerr << "Couldn't find Parameter: " << scanName << ". Can NOT perform scan!" << endl << endl;
		exit(3763);
	}
	double originalValue = scanParameter->GetBlindedValue( );
	string originalType = scanParameter->GetType( );

	if( originalType == "Fixed" && fabs(uplim-lolim) < 1E-5 )
	{
		cerr << "Cannot Run a scan Using Parameter: " << scanName << endl << endl;
		exit(3764);
	}
	scanParameter->SetType( "Fixed" );

	// Need to set up a loop , fixing the scan parameter at each point

	double deltaScan=0.;
	if( int(npoints) !=1 ) deltaScan = (uplim-lolim) / (npoints-1.) ;
	else deltaScan=0.;

	for( int si=0; si < int(npoints); ++si )
	{

		cout << "\n\n2DSCAN OUTER NUMBER\t\t" << si+1 << "\t\tOF\t\t" << int(npoints) <<endl<<endl;
		FitResultVector* Returnable_Result = new FitResultVector( result_names );

		// Set scan parameter value
		double scanVal = lolim + si*deltaScan;

		cout << "Fitting at:\t" << scanName << "=" << setw(6) << scanVal << setw(6) << " " << "StepSize: " << deltaScan << endl;

		//	The FitFunction has the ability to change the content of the input ParameterSet by definition as it isn't defined as const
		scanParameter = BottleParameters->GetPhysicsParameter(scanName);
		scanParameter->SetBlindedValue( scanVal );

		// Do a scan point fit
		ScanStudies::DoScan( MinimiserConfig, FunctionConfig, BottleParameters, BottleData, BottleConstraints, Param_Set.second, Returnable_Result, OutputLevel, forceContinue );

		//
		//
		//	Would be nice to add an additional wiggle here for the 2D as this would improve things at the usual cost
		//
		//

		//  THIS IS ALWAYS TRUE BY DEFINITION OF THE SCAN
		string name = Param_Set.first->GetName();
		string type = BottleParameters->GetPhysicsParameter( name )->GetType();
		string unit = BottleParameters->GetPhysicsParameter( name )->GetUnit();

		for( short int i=0; i < Returnable_Result->NumberResults(); ++i )
		{
			Returnable_Result->GetFitResult( i )->GetResultParameterSet()->SetResultParameter( name, scanVal, scanVal, 0., scanVal, scanVal, type, unit );
			Returnable_Result->GetFitResult( i )->GetResultParameterSet()->GetResultParameter( scanName )->SetScanStatus( true );
		}

		output_interface->push_back( Returnable_Result );
	}

	//Reset the parameter as it was
	scanParameter = BottleParameters->GetPhysicsParameter(scanName);
	scanParameter->SetType( originalType ) ;
	scanParameter->SetBlindedValue( originalValue ) ;
}