double Bd2JpsiKstar_sWave::Normalisation(DataPoint * measurement, PhaseSpaceBoundary * boundary)
{
double returnValue;
IConstraint * timeBound = boundary->GetConstraint(timeconstraintName);
time = measurement->GetObservable( timeName )->GetValue();
KstarFlavour = measurement->GetObservable( KstarFlavourName )->GetValue();
if ( timeBound->GetUnit() == "NameNotFoundError" )
{
cerr << "Bound on time not provided" << endl;
return -1.;
}
else
{
tlo = timeBound->GetMinimum();
thi = timeBound->GetMaximum();
}
if(timeRes1Frac >= 0.9999)
{
// Set the member variable for time resolution to the first value and calculate
timeRes = timeRes1;
returnValue = buildCompositePDFdenominator();
}
else
{
// Set the member variable for time resolution to the first value and calculate
timeRes = timeRes1;
double val1 = buildCompositePDFdenominator();
// Set the member variable for time resolution to the second value and calculate
timeRes = timeRes2;
double val2 = buildCompositePDFdenominator();
//return timeRes1Frac*val1 + (1. - timeRes1Frac)*val2;
returnValue = timeRes1Frac*val1 + (1. - timeRes1Frac)*val2;
}
if( (returnValue <= 0.) || std::isnan(returnValue) ) {
cout << " Bd2JpsiKstar_sWave::Normalisation() returns <=0 or nan " << endl ;
cout << " AT " << Aperp_sq ;
cout << " AP " << Apara_sq ;
cout << " A0 " << Azero_sq;
cout << " As " << As_sq;
cout << " Dperp " << delta_perp;
cout << " Dpara " << delta_para;
cout << " Ds " << delta_s << endl;
cout << " gamma " << gamma << endl;
exit(1) ;
}
return returnValue;
}
//.................................
// Calculate the PDF normalisation
double Bs2DsPiBkg_withTimeRes::Normalisation(PhaseSpaceBoundary * boundary)
{
double tmin = 0.;
double tmax = 0.;
IConstraint * timeBound = boundary->GetConstraint(timeconstraintName);
if ( timeBound->GetUnit() == "NameNotFoundError" )
{
cerr << "Bound on time not provided" << endl;
return -1.;
}
else
{
tmin = timeBound->GetMinimum();
tmax = timeBound->GetMaximum();
}
// Parameters
double timeRes = allParameters.GetPhysicsParameter( timeResName )->GetValue();
double lifetimeBd = allParameters.GetPhysicsParameter( lifetimeBdName )->GetValue();
double gammaBd = 1. / lifetimeBd ;
double val = Mathematics::ExpInt( tmin, tmax, gammaBd, timeRes ) ;
return val;
}
// int(1/(sigmaPr*sqrt(2*Pi))*exp(-(time)^2/(2*sigmaPr*sigmaPr)),time=tmin..tmax);
// 1/2 1/2
// 2 tmin 2 tmax
// -1/2 erf(---------) + 1/2 erf(---------)
// 2 sigmaPr 2 sigmaPr
double Bs2JpsiPhiPromptBkg_tripleGaussian::Normalisation(PhaseSpaceBoundary * boundary)
{
double tmin = 0.;
double tmax = 0.;
IConstraint * timeBound = boundary->GetConstraint(timeconstraintName);
if ( timeBound->GetUnit() == "NameNotFoundError" )
{
cerr << "Bound on time not provided" << endl;
exit(1) ;
}
else
{
tmin = timeBound->GetMinimum();
tmax = timeBound->GetMaximum();
}
//Extract parameters
double sigmaPr1 = allParameters.GetPhysicsParameter( sigmaPr1Name )->GetValue();
double sigmaPr2 = allParameters.GetPhysicsParameter( sigmaPr2Name )->GetValue();
double sigmaPr3 = allParameters.GetPhysicsParameter( sigmaPr3Name )->GetValue();
double frac1 = allParameters.GetPhysicsParameter( frac_sigmaPr1Name )->GetValue();
double frac23 = allParameters.GetPhysicsParameter( frac_sigmaPr23Name )->GetValue();
//Reality checks
if( sigmaPr1 <= 0. ) {cout << "Bs2JpsiPhiPromptBkg_tripleGaussian::Normalisation() : sigmaPr1 < 0 : " << sigmaPr1 << endl ;exit(1); }
if( sigmaPr2 <= 0. ) {cout << "Bs2JpsiPhiPromptBkg_tripleGaussian::Normalisation() : sigmaPr2 < 0 : " << sigmaPr2 << endl ; exit(1); }
if( sigmaPr3 <= 0. ) {cout << "Bs2JpsiPhiPromptBkg_tripleGaussian::Normalisation() : sigmaPr3 < 0 : " << sigmaPr3 << endl ; exit(1); }
double val1 = 0.5 * ( erf( tmax/(sqrt(2.)*sigmaPr1) ) - erf( tmin/(sqrt(2.)*sigmaPr1 )) );
double val2 = 0.5 * ( erf( tmax/(sqrt(2.)*sigmaPr2) ) - erf( tmin/(sqrt(2.)*sigmaPr2 )) );
double val3 = 0.5 * ( erf( tmax/(sqrt(2.)*sigmaPr3) ) - erf( tmin/(sqrt(2.)*sigmaPr3 )) );
return frac1*val1 + (1.-frac1)*(frac23*val2 + (1.-frac23)*val3) ;
}
double Bs2JpsiPhi_mistagObservable_alt::Normalisation(DataPoint * measurement, PhaseSpaceBoundary * boundary)
{
// Get observables into member variables
t = measurement->GetObservable( timeName )->GetValue() - timeOffset;
ctheta_tr = measurement->GetObservable( cosThetaName )->GetValue();
phi_tr = measurement->GetObservable( phiName )->GetValue();
ctheta_1 = measurement->GetObservable( cosPsiName )->GetValue();
tagFraction = measurement->GetObservable( mistagName )->GetValue();
//tagFraction= 0.5; //PELC
// Get time boundaries into member variables
IConstraint * timeBound = boundary->GetConstraint("time");
if ( timeBound->GetUnit() == "NameNotFoundError" ) {
cerr << "Bound on time not provided" << endl;
return 0;
}
else {
tlo = timeBound->GetMinimum();
thi = timeBound->GetMaximum();
}
// Recalculate cached values if Physics parameters have changed
// Must do this for each of the two resolutions.
//PELC
// I dont think you can cache any more as normalisation depends upon the mistag which now changes per event.
if( true /*! normalisationCacheValid*/ ) {
for( tag = -1; tag <= 1; tag ++ ) {
resolution = resolution1 ;
normalisationCacheValueRes1[tag+1] = this->diffXsecNorm1( );
resolution = resolution2 ;
normalisationCacheValueRes2[tag+1] = this->diffXsecNorm1( );
}
normalisationCacheValid = true ;
}
// Return normalisation value according to tag
tag = (int)measurement->GetObservable( tagName )->GetValue();
double returnValue = resolution1Fraction*normalisationCacheValueRes1[tag+1] + (1. - resolution1Fraction)*normalisationCacheValueRes2[tag+1] ;
if( (returnValue <= 0.) || isnan(returnValue) ) {
cout << " Bs2JpsiPhi_mistagObservable_alt::Normalisation() returns <=0 or nan " << endl ;
cout << " gamma " << gamma() ;
cout << " gl " << gamma_l() ;
cout << " gh " << gamma_h() ;
cout << " AT " << AT() ;
cout << " AP " << AP() ;
cout << " A0 " << A0() ;
exit(1) ;
}
return returnValue ;
}
// int(1/(sigmaPr*sqrt(2*Pi))*exp(-(time)^2/(2*sigmaPr*sigmaPr)),time=tmin..tmax);
// 1/2 1/2
// 2 tmin 2 tmax
// -1/2 erf(---------) + 1/2 erf(---------)
// 2 sigmaPr 2 sigmaPr
double Bs2JpsiPhiPromptBkg_withTimeRes::Normalisation(PhaseSpaceBoundary * boundary)
{
double tmin = 0.;
double tmax = 0.;
IConstraint * timeBound = boundary->GetConstraint( timeconstraintName );
if ( timeBound->GetUnit() == "NameNotFoundError" )
{
cerr << "Bound on time not provided" << endl;
return -1.;
}
else
{
tmin = timeBound->GetMinimum();
tmax = timeBound->GetMaximum();
}
double sigmaPr = allParameters.GetPhysicsParameter( sigmaPrName )->GetValue();
double val = 0.5 * ( erf( tmax/(sqrt(2.)*sigmaPr) ) - erf( tmin/(sqrt(2.)*sigmaPr )) );
return val;
}
void copyPhaseSpaceBoundary( PhaseSpaceBoundary * newBoundary, PhaseSpaceBoundary * oldBoundary )
{
vector<string> names = oldBoundary->GetAllNames();
vector<string>::iterator nameIter = names.begin();
vector<double> values;
double min, max;
string unit;
for ( ; nameIter != names.end(); ++nameIter )
{
IConstraint * constraint = oldBoundary->GetConstraint( *nameIter );
unit = constraint->GetUnit();
if ( constraint->IsDiscrete() )
{
values = constraint->GetValues();
newBoundary->SetConstraint( *nameIter, values, unit );
}
else {
min = constraint->GetMinimum();
max = constraint->GetMaximum();
newBoundary->SetConstraint( *nameIter, min, max, unit );
}
}
}
double Bs2JpsiPhi_SignalAlt_MO_v4::Normalisation(DataPoint * measurement, PhaseSpaceBoundary * boundary)
{
if( _numericIntegralForce ) return -1. ;
// Get observables into member variables
tag = (int)measurement->GetObservable( tagName )->GetValue();
_mistag = measurement->GetObservable( mistagName )->GetValue() ;
if( useEventResolution() ) eventResolution = measurement->GetObservable( eventResolutionName )->GetValue();
// Get time boundaries into member variables
IConstraint * timeBound = boundary->GetConstraint( timeName );
if ( timeBound->GetUnit() == "NameNotFoundError" ) {
cerr << "Bound on time not provided" << endl;
return 0;
}
else {
tlo = timeBound->GetMinimum();
thi = timeBound->GetMaximum();
}
//*** This is what will be returned.***
//How it is calcualted depends upon how resolution is treated
double returnValue=0 ;
// If we are going to use event-by-event resolution, then all the caching is irrelevant and will be bypassed.
// You cant cache either untagged or tagged since the resolution will change from event to event and affect the normalisation.
if( useEventResolution() ) {
if( resolutionScale <=0. ) resolution = 0. ;
else resolution = eventResolution * resolutionScale ;
returnValue = this->diffXsecCompositeNorm1( 0 );
}
//We are not going to use event by event resolution so we can use all the caching machinery
else {
//First job for any new set of parameters is to Cache the time integrals
if( ! timeIntegralCacheValid ) {
CacheTimeIntegrals() ;
timeIntegralCacheValid = true ;
// if( ! useEventResolution() ) timeIntegralCacheValid = true ;
}
//If this is an untagged event and the result has been cached, then it can be used
// Otherwise must calculate the normalisation
if( (tag==0) && normalisationCacheValid ) {
returnValue = normalisationCacheUntagged ;
}
//So we need to calculate the normalisation
else {
if( resolutionScale <= 0. ) {
resolution = 0. ;
returnValue = this->diffXsecCompositeNorm1( 0 );
}
else {
double val1=0. , val2=0., val3=0. ;
double resolution1Fraction = 1. - resolution2Fraction - resolution3Fraction ;
if(resolution1Fraction > 0 ) {
resolution = resolution1 * resolutionScale ;
val1 = this->diffXsecCompositeNorm1( 1 );
}
if(resolution2Fraction > 0 ) {
resolution = resolution2 * resolutionScale ;
val2 = this->diffXsecCompositeNorm1( 2 );
}
if(resolution3Fraction > 0 ) {
resolution = resolution3 * resolutionScale ;
val3 = this->diffXsecCompositeNorm1( 3 );
}
returnValue = resolution1Fraction*val1 + resolution2Fraction*val2 + resolution3Fraction*val3 ;
}
}
// If this is an untagged event then the normaisation is invariant and so can be cached
//if( (tag==0) && !normalisationCacheValid && !useEventResolution() ) {
if( (tag==0) && !normalisationCacheValid ) {
normalisationCacheUntagged = returnValue ;
normalisationCacheValid = true ;
}
}
// Conditions to throw exception
bool c1 = std::isnan(returnValue) ;
bool c2 = (returnValue <= 0.) ;
if( DEBUGFLAG && (c1 || c2 ) ) {
this->DebugPrint( " Bs2JpsiPhi_SignalAlt_MO_v4::Normalisation() returns <=0 or nan :" , returnValue ) ;
if( std::isnan(returnValue) ) throw( 23 );
if( returnValue <= 0. ) throw( 823 );
}
return returnValue ;
}
//Constructor with correct argument
MakeFoam::MakeFoam( IPDF * InputPDF, PhaseSpaceBoundary * InputBoundary, DataPoint * InputPoint ) : finishedCells(), centerPoints(), centerValues(), cellIntegrals(), integratePDF(InputPDF)
{
//Make the container to hold the possible cells
queue<PhaseSpaceBoundary*> possibleCells;
PhaseSpaceBoundary* firstCell = InputBoundary;
possibleCells.push(firstCell);
//Make a list of observables to integrate over
vector<string> doIntegrate, dontIntegrate;
vector<string> pdfDontIntegrate = InputPDF->GetDoNotIntegrateList();
StatisticsFunctions::DoDontIntegrateLists( InputPDF, InputBoundary, &(pdfDontIntegrate), doIntegrate, dontIntegrate );
//Continue until all possible cells have been examined
while ( !possibleCells.empty() )
{
//Remove the next possible cell
PhaseSpaceBoundary* currentCell = possibleCells.front();
possibleCells.pop();
//Set up the histogram storage
vector< vector<double> > histogramBinHeights, histogramBinMiddles, histogramBinMaxes;
double normalisation = 0.0;
for (unsigned int observableIndex = 0; observableIndex < doIntegrate.size(); ++observableIndex )
{
vector<double> binHeights, binMiddles, binMaxes;
IConstraint * temporaryConstraint = currentCell->GetConstraint( doIntegrate[observableIndex] );
double minimum = temporaryConstraint->GetMinimum();
double delta = ( temporaryConstraint->GetMaximum() - minimum ) / (double)HISTOGRAM_BINS;
//Loop over bins
for (int binIndex = 0; binIndex < HISTOGRAM_BINS; ++binIndex )
{
binHeights.push_back(0.0);
binMiddles.push_back( minimum + ( delta * ( binIndex + 0.5 ) ) );
binMaxes.push_back( minimum + ( delta * ( binIndex + 1.0 ) ) );
}
histogramBinHeights.push_back(binHeights);
histogramBinMiddles.push_back(binMiddles);
histogramBinMaxes.push_back(binMaxes);
}
//MC sample the cell, make projections, sort of
for (int sampleIndex = 0; sampleIndex < MAXIMUM_SAMPLES; ++sampleIndex )
{
//Create a data point within the current cell
DataPoint samplePoint( InputPoint->GetAllNames() );
for (unsigned int observableIndex = 0; observableIndex < doIntegrate.size(); ++observableIndex )
{
//Generate random values to explore integrable observables
IConstraint * temporaryConstraint = currentCell->GetConstraint( doIntegrate[observableIndex] );
samplePoint.SetObservable( doIntegrate[observableIndex], temporaryConstraint->CreateObservable() );
}
for (unsigned int observableIndex = 0; observableIndex < dontIntegrate.size(); ++observableIndex )
{
//Use given values for unintegrable observables
Observable * temporaryObservable = new Observable( *(InputPoint->GetObservable( dontIntegrate[observableIndex] )) );
samplePoint.SetObservable( dontIntegrate[observableIndex], temporaryObservable );
delete temporaryObservable;
}
//Evaluate the function at this point
double sampleValue = InputPDF->Evaluate( &samplePoint );
normalisation += sampleValue;
//Populate the histogram
for (unsigned int observableIndex = 0; observableIndex < doIntegrate.size(); ++observableIndex )
{
double observableValue = samplePoint.GetObservable( doIntegrate[observableIndex] )->GetValue();
for ( int binIndex = 0; binIndex < HISTOGRAM_BINS; ++binIndex )
{
if ( observableValue < histogramBinMaxes[observableIndex][unsigned(binIndex)] )
{
histogramBinHeights[observableIndex][unsigned(binIndex)] += sampleValue;
break;
}
}
}
}
//Normalise the histograms
for (unsigned int observableIndex = 0; observableIndex < doIntegrate.size(); ++observableIndex )
{
for ( int binIndex = 0; binIndex < HISTOGRAM_BINS; ++binIndex )
{
histogramBinHeights[observableIndex][unsigned(binIndex)] /= normalisation;
}
}
//Find the maximum gradient
vector<double> midPoints;
string maximumGradientObservable, unit;
double maximumGradient=0.;
double lowPoint=0.;
double splitPoint=0.;
double highPoint=0.;
for (unsigned int observableIndex = 0; observableIndex < doIntegrate.size(); ++observableIndex )
{
//Find the size of the cell in this observable
IConstraint * temporaryConstraint = currentCell->GetConstraint( doIntegrate[observableIndex] );
double cellMaximum = temporaryConstraint->GetMaximum();
double cellMinimum = temporaryConstraint->GetMinimum();
//Store the mid point
double observableMiddle = cellMinimum + ( ( cellMaximum - cellMinimum ) / 2.0 );
midPoints.push_back(observableMiddle);
for ( int binIndex = 1; binIndex < HISTOGRAM_BINS; ++binIndex )
{
double gradient = abs( histogramBinHeights[observableIndex][ unsigned(binIndex - 1) ] - histogramBinHeights[observableIndex][unsigned(binIndex)] );
//Update maximum
if ( ( observableIndex == 0 && binIndex == 1 ) || gradient > maximumGradient )
{
maximumGradient = gradient;
maximumGradientObservable = doIntegrate[observableIndex];
unit = temporaryConstraint->GetUnit();
highPoint = cellMaximum;
splitPoint = ( histogramBinMiddles[observableIndex][ unsigned(binIndex - 1) ] + histogramBinMiddles[observableIndex][unsigned(binIndex)] ) / 2.0;
lowPoint = cellMinimum;
}
}
}
//If the maximum gradient is within tolerance, the cell is finished
if ( maximumGradient < MAXIMUM_GRADIENT_TOLERANCE )
{
//Store the finished cell
finishedCells.push_back(currentCell);
//Create a data point at the center of the current cell
DataPoint* cellCenter = new DataPoint( InputPoint->GetAllNames() );
for (unsigned int observableIndex = 0; observableIndex < doIntegrate.size(); ++observableIndex )
{
//Use the mid points for the integrable values
Observable * temporaryObservable = cellCenter->GetObservable( doIntegrate[observableIndex] );
Observable* temporaryObservable2 = new Observable( temporaryObservable->GetName(), midPoints[observableIndex], temporaryObservable->GetUnit() );
cellCenter->SetObservable( doIntegrate[observableIndex], temporaryObservable2 );
delete temporaryObservable2;
}
for (unsigned int observableIndex = 0; observableIndex < dontIntegrate.size(); ++observableIndex )
{
//Use given values for unintegrable observables
Observable * temporaryObservable = new Observable( *(InputPoint->GetObservable( dontIntegrate[observableIndex] )) );
cellCenter->SetObservable( dontIntegrate[observableIndex], temporaryObservable );
delete temporaryObservable;
}
//Store the center point
centerPoints.push_back(cellCenter);
}
else
{
//Create two cells to replace the current cell
PhaseSpaceBoundary* daughterCell1 = new PhaseSpaceBoundary( currentCell->GetAllNames() );
PhaseSpaceBoundary* daughterCell2 = new PhaseSpaceBoundary( currentCell->GetAllNames() );
for (unsigned int observableIndex = 0; observableIndex < doIntegrate.size(); ++observableIndex )
{
IConstraint * temporaryConstraint = currentCell->GetConstraint( doIntegrate[observableIndex] );
if ( doIntegrate[observableIndex] == maximumGradientObservable )
{
//Split the cells on the observable with the greatest gradient
daughterCell1->SetConstraint( doIntegrate[observableIndex], lowPoint, splitPoint, unit );
daughterCell2->SetConstraint( doIntegrate[observableIndex], splitPoint, highPoint, unit );
}
else
{
//Copy the continuous constraint (if it can be integrated, it must be continuous)
daughterCell1->SetConstraint( doIntegrate[observableIndex], temporaryConstraint->GetMinimum(), temporaryConstraint->GetMaximum(), temporaryConstraint->GetUnit() );
daughterCell2->SetConstraint( doIntegrate[observableIndex], temporaryConstraint->GetMinimum(), temporaryConstraint->GetMaximum(), temporaryConstraint->GetUnit() );
}
}
for (unsigned int observableIndex = 0; observableIndex < dontIntegrate.size(); ++observableIndex )
{
IConstraint * temporaryConstraint = currentCell->GetConstraint( dontIntegrate[observableIndex] );
if ( temporaryConstraint->IsDiscrete() )
{
//Copy the discrete constraint
daughterCell1->SetConstraint( dontIntegrate[observableIndex], temporaryConstraint->GetValues(), temporaryConstraint->GetUnit() );
daughterCell2->SetConstraint( dontIntegrate[observableIndex], temporaryConstraint->GetValues(), temporaryConstraint->GetUnit() );
}
else
{
//Copy the continuous constraint
daughterCell1->SetConstraint( dontIntegrate[observableIndex], temporaryConstraint->GetMinimum(), temporaryConstraint->GetMaximum(), temporaryConstraint->GetUnit() );
daughterCell2->SetConstraint( dontIntegrate[observableIndex], temporaryConstraint->GetMinimum(), temporaryConstraint->GetMaximum(), temporaryConstraint->GetUnit() );
}
}
//Add the two new cells to the possibles
possibleCells.push(daughterCell1);
possibleCells.push(daughterCell2);
}
//Make sure you don't exceed the maximum number of cells
if ( int(finishedCells.size() + possibleCells.size()) >= MAXIMUM_CELLS )
{
cout << "MakeFoam warning: maximum cells reached with " << possibleCells.size() << " unexplored" << endl;
//Dump out any possible cells into finished, without any further examination
while ( !possibleCells.empty() )
{
//Move the cell from "possible" to "finished"
PhaseSpaceBoundary* temporaryCell = possibleCells.front();
possibleCells.pop();
finishedCells.push_back(temporaryCell);
//Create a data point at the center of the current cell
DataPoint* cellCenter = new DataPoint( InputPoint->GetAllNames() );
for (unsigned int observableIndex = 0; observableIndex < doIntegrate.size(); ++observableIndex )
{
//Calculate the cell mid point
IConstraint * temporaryConstraint = temporaryCell->GetConstraint( doIntegrate[observableIndex] );
double midPoint = temporaryConstraint->GetMinimum() + ( ( temporaryConstraint->GetMaximum() - temporaryConstraint->GetMinimum() ) / 2 );
//Use the mid points for the integrable values
Observable * temporaryObservable = cellCenter->GetObservable( doIntegrate[observableIndex] );
Observable* temporaryObservable2 = new Observable( temporaryObservable->GetName(), midPoint, temporaryObservable->GetUnit() );
cellCenter->SetObservable( doIntegrate[observableIndex], temporaryObservable2 );
delete temporaryObservable2;
}
for (unsigned int observableIndex = 0; observableIndex < dontIntegrate.size(); ++observableIndex )
{
//Use given values for unintegrable observables
Observable * temporaryObservable = new Observable( *(InputPoint->GetObservable( dontIntegrate[observableIndex] )) );
cellCenter->SetObservable( dontIntegrate[observableIndex], temporaryObservable );
delete temporaryObservable;
}
//Store the center point
centerPoints.push_back(cellCenter);
}
//Exit the foam loop
break;
}
}
//Now all the cells have been made!
//Make a numerical integrator for the function
RapidFitIntegrator cellIntegrator( InputPDF, true );
//Find the function value at the center of each cell, and the integral of the function over the cell
for (unsigned int cellIndex = 0; cellIndex < finishedCells.size(); ++cellIndex )
{
//Integrate the cell
double integral = cellIntegrator.Integral( InputPoint, finishedCells[cellIndex] );
cellIntegrals.push_back(integral);
//Evaluate the function at the center of the cell
double value = InputPDF->Evaluate( centerPoints[cellIndex] );
centerValues.push_back(value);
}
}
double Bs2DsPi_lowmassbkg_updated::Normalisation(PhaseSpaceBoundary * boundary)
{
double mhigh, mlow, sum ;
IConstraint * massBound = boundary->GetConstraint( constraint_massName );
if ( massBound->GetUnit() == "NameNotFoundError" )
{
cerr << "Bound on mass not provided in Bs2DsPi_lowmassbkg_updated" << endl;
return 1.0 ;
}
else
{
mlow = massBound->GetMinimum();
mhigh = massBound->GetMaximum();
}
double histo_max=histo->GetXaxis()->GetBinUpEdge(nxbins);
double histo_min=histo->GetXaxis()->GetBinLowEdge(1);
double histo_range = histo_max - histo_min;
double bin_width = histo_range / nxbins;
int nbin_low =1;
int nbin_high = nxbins;
bool c0 = (mlow>mhigh) ;
bool c1 = (mhigh>histo_max) || (mlow<histo_min) ;
if ( c0 || c1 )
{
cerr << "Mass boundaries aren't withing the background histogram range in Bs2DsPi_lowmassbkg_updated" << endl;
exit(1) ;
}
for( nbin_low=1; nbin_low <= nxbins; ++nbin_low ) {
if( histo->GetXaxis()->GetBinLowEdge(nbin_low) > mlow ) break ;
}
nbin_low--;
for( nbin_high=nxbins; nbin_high >= 1; --nbin_high ) {
if( histo->GetXaxis()->GetBinUpEdge(nbin_high) < mhigh ) break ;
}
nbin_high++;
//cout << "mlow occurs in bin" << nbin_low << endl;
//cout << "mhigh occurs in bin" << nbin_high << endl;
sum = 0;
for(int i = nbin_low; i <= nbin_high; ++i){
double bin_content = histo->GetBinContent(i);
sum += (int) bin_content;
//cout << "loop " << i << ", ";
}
//cout << "number of bins " << nxbins << endl;
//cout << "sum of bins looped " << sum << endl;
//cout << "histo range " << histo_range << endl;
//cout << "bin_width " << bin_width << endl;
//cout << "total number enteries in histo " << total_num_entries << endl;
//cout << "end normalisation " << endl;
double value = (sum * bin_width) / total_num_entries;
//cout << "return " << value << endl;
return value;
}