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EnergySmearer.cc
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EnergySmearer.cc
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#include "EnergySmearer.h"
#include "PhotonReducedInfo.h"
#include <assert.h>
#define ESDEBUG 0
EnergySmearer::EnergySmearer(const energySmearingParameters& par, const std::vector<PhotonCategory> & presel) :
myParameters_(par), scaleOrSmear_(true), doCorrections_(false), doRegressionSmear_(false),
preselCategories_(presel)
{
syst_only_ = false;
rgen_ = new TRandom3(12345);
baseSeed_ = 0;
forceShift_ = false;
name_="EnergySmearer_"+ par.categoryType + "_" + par.parameterSetName;
registerMe();
}
EnergySmearer::EnergySmearer(EnergySmearer * orig, const std::vector<PhotonCategory> & presel)
{
*this = *orig;
preselCategories_ = presel;
registerMe();
}
EnergySmearer::~EnergySmearer()
{
delete rgen_;
}
std::string EnergySmearer::photonCategory(const energySmearingParameters & myParameters, const PhotonReducedInfo & aPho)
{
std::string myCategory="";
if (myParameters.categoryType=="Automagic")
{
EnergySmearer::energySmearingParameters::phoCatVectorConstIt vit =
find(myParameters.photon_categories.begin(),
myParameters.photon_categories.end(),
PhotonCategory::photon_coord_t(
aPho.energy()/cosh(fabs((float)aPho.caloPosition().PseudoRapidity())),
fabs((float)aPho.caloPosition().PseudoRapidity()),(float)aPho.r9(),
aPho.isSphericalPhoton())
);
if( vit == myParameters.photon_categories.end() ) {
std::cerr << "Could not find energy category for this photon " <<
aPho.isSphericalPhoton() << " " << (float)aPho.caloPosition().PseudoRapidity() << " " << (float)aPho.r9() << std::endl;
assert( 0 );
}
myCategory = vit->name;
}
else if (myParameters.categoryType=="2CatR9_EBEE")
{
if (aPho.iDet()==1)
myCategory+="EB";
else
myCategory+="EE";
if (aPho.r9()>=0.94)
myCategory+="HighR9";
else
myCategory+="LowR9";
}
else if (myParameters.categoryType=="2CatR9_EBEBm4EE")
{
if (aPho.iDet()==1 && fabs(aPho.caloPosition().PseudoRapidity()) < 1.)
myCategory+="EB";
else if (aPho.iDet()==1 && fabs(aPho.caloPosition().PseudoRapidity()) > 1.)
myCategory+="EBm4";
else
myCategory+="EE";
if (aPho.r9()>=0.94)
myCategory+="HighR9";
else
myCategory+="LowR9";
}
else if (myParameters.categoryType=="EBEE")
{
if (aPho.iDet()==1)
myCategory+="EB";
else
myCategory+="EE";
}
else
{
std::cout << "Unknown categorization. No category name is returned" << std::endl;
}
return myCategory;
}
float EnergySmearer::getSmearingSigma(const energySmearingParameters & myParameters, const std::string & category,
float energy, float eta, float syst_shift)
{
float smearing_sigma = myParameters.smearing_sigma.find(category)->second;
float smearing_stocastic_sigma = myParameters.smearing_stocastic_sigma.find(category)->second;
float smearing_stocastic_sigma_error = myParameters.smearing_stocastic_sigma_error.find(category)->second;
float err_sigma= myParameters.smearing_sigma_error.find(category)->second;
energySmearingParameters::parameterMapConstIt ipivot = myParameters.smearing_stocastic_pivot.find(category);
if( myParameters.etStocastic ) {
energy /= cosh(eta);
}
smearing_sigma += syst_shift * err_sigma;
smearing_stocastic_sigma += syst_shift * smearing_stocastic_sigma_error;
if( ipivot != myParameters.smearing_stocastic_pivot.end() && ipivot->second > 0. ) {
float phi = std::max((float)0.,std::min((float)(TMath::Pi()*0.5),smearing_stocastic_sigma));
float rho = smearing_sigma;
smearing_stocastic_sigma = rho*ipivot->second*cos(phi);
smearing_sigma = rho*sin(phi);
}
smearing_stocastic_sigma = (smearing_stocastic_sigma * smearing_stocastic_sigma) / energy;
smearing_sigma = sqrt( smearing_sigma*smearing_sigma + smearing_stocastic_sigma );
// Careful here, if sigma < 0 now, it will be squared and so not correct, set to 0 in this case.
if (smearing_sigma < 0.) smearing_sigma=0.;
return smearing_sigma;
}
std::string EnergySmearer::photonCategory(PhotonReducedInfo & aPho) const
{
return photonCategory(myParameters_,aPho);
}
float EnergySmearer::getScaleOffset(int run, const std::string & category) const
{
const std::map<std::string, float> * scale_offset = &(myParameters_.scale_offset);
if( myParameters_.byRun ) {
scale_offset = &(find(myParameters_.scale_offset_byrun.begin(),myParameters_.scale_offset_byrun.end(),run)->scale_offset) ;
}
energySmearingParameters::parameterMapConstIt it=scale_offset->find(category);
if ( it == scale_offset->end())
{
std::cout << "Category was not found in the configuration. Giving Up" << " " << category << " " << myParameters_.byRun << " " << this->name() << std::endl;
return false;
}
return 1. + it->second;
}
bool EnergySmearer::smearPhoton(PhotonReducedInfo & aPho, float & weight, int run, float syst_shift) const
{
if( syst_only_ && syst_shift == 0. ) { return true; }
//// std::cout << "EnergySmearer::smearPhoton " << name() << " " << aPho.iPho() << " " << aPho.iDet() << " " << aPho.r9() << std::endl;
if( ! forceShift_ && ! doEfficiencies_ && ! doCorrections_ && ! doRegressionSmear_ && syst_shift == 0. ) {
int myId = smearerId();
if( aPho.hasCachedVal(myId) ) {
const std::pair<const BaseSmearer *, float> & cachedVal = aPho.cachedVal(myId);
assert( cachedVal.first == this );
aPho.setEnergy(aPho.energy() * cachedVal.second );
//// std::cout << "Using cached value " << cachedVal.second << std::endl;
return true;
}
}
if( forceShift_ ) { forceShift_ = false; }
if( ! preselCategories_.empty() ) {
if( find(preselCategories_.begin(), preselCategories_.end(),
PhotonCategory::photon_coord_t(
aPho.energy()/cosh(fabs((float)aPho.caloPosition().PseudoRapidity())),
fabs((float)aPho.caloPosition().PseudoRapidity()),(float)aPho.r9(),
aPho.isSphericalPhoton())
) == preselCategories_.end() ) {
//// std::cout << "Outside of this domain " << std::endl;
return true;
}
}
std::string category=photonCategory(aPho);
if (category == "")
{
std::cout << "No category has been found associated with this photon. Giving Up" << std::endl;
return false;
}
/////////////////////// smearing or re-scaling photon energy ///////////////////////////////////////////
float newEnergy=aPho.energy();
/////////////////////// apply MC-based photon energy corrections ///////////////////////////////////////////
if ( doCorrections_ ) {
// corrEnergy is the corrected photon energy
newEnergy = aPho.corrEnergy() + syst_shift * myParameters_.corrRelErr * (aPho.corrEnergy() - aPho.energy());
} else if ( doRegressionSmear_){
// leave energy alone, bus change resolution (10% uncertainty on sigmaE/E scaling)
float newSigma;
if (fabs(aPho.caloPosition().Eta())<1.5){
newSigma = aPho.rawCorrEnergyErr()*(1.+syst_shift*0.1);
} else {
newSigma = aPho.rawCorrEnergyErr()*(1.+syst_shift*0.1);
}
aPho.setCorrEnergyErr(newSigma);
} else {
if( scaleOrSmear_ ) {
float scale_offset = getScaleOffset(run, category);
scale_offset += syst_shift * myParameters_.scale_offset_error.find(category)->second;
newEnergy *= scale_offset;
if( syst_shift == 0. ) {
aPho.cacheVal( smearerId(), this, scale_offset );
}
} else {
float smearing_sigma = getSmearingSigma( myParameters_, category, aPho.energy(),
aPho.caloPosition().Eta(), syst_shift );
float smear = 1.;
if( smearing_sigma > 0. ) {
// deterministic smearing
int nsigmas = round(syst_shift);
if( nsigmas < 0 ) nsigmas = 1-nsigmas;
if( nsigmas < aPho.nSmearingSeeds() ) {
rgen_->SetSeed( baseSeed_+aPho.smearingSeed(nsigmas) );
}
if(ESDEBUG) std::cout << "ESDEBUG:: seed= " << rgen_->GetSeed() << endl;
smear = 1. + rgen_->Gaus(0.,smearing_sigma) ;
if(ESDEBUG) std::cout << "ESDEBUG:: smearing_sigma= " << smearing_sigma << "\tsmear= " << smear << std::endl;
}
if( syst_shift == 0. ) {
aPho.cacheVal( smearerId(), this, smear );
}
newEnergy *= smear;
}
}
if( newEnergy == 0. ) {
std::cerr << "New energy is 0.: aborting " << this->name() << std::endl;
assert( newEnergy != 0. );
}
aPho.setEnergy(newEnergy);
/////////////////////// changing weigh of photon according to efficiencies ///////////////////////////////////////////
////////////////////// if you're doing corrections, don't touch the weights ////////////////////////////////////////
if(doEfficiencies_ && (!doCorrections_) ) {
if( !smearing_eff_graph_.empty() ){
weight = getWeight( ( aPho.energy() / cosh(aPho.caloPosition().PseudoRapidity()) ) ,category, syst_shift);
}
}
return true;
}
bool EnergySmearer::initEfficiency()
{
// if map is not empty, yuo're initilized and happy..
if( !smearing_eff_graph_.empty() ){
std:cout << "initialization of efficiencies already done; proceed with usage. " << std::endl;
return true;
}
//otherwise, get smearing functions from file and set up map
std::cout << "\n>>>initializing one efficiency for photon re-weighting; " << std::endl;
// do basic sanity checks first
if(doEnergy_){
std::cout << "*** Initializing reweighting for efficiencies; energy smearing active TOO, do you want them both? " << std::endl; return false; }
if(!doEfficiencies_){
std::cout << "*** Initializing reweighting for efficiencies - BUT doEfficiencies_ is set to false; doing nothing. " << std::endl; return false; }
if( effName_.empty()){
std::cout << "you're initialzinfg reweighting for efficiency but effName_ is empty ; doing nothing. " << std::endl; return false; }
if( myParameters_.efficiency_file.empty()){
std::cout << "you're initialzinfg reweighting for efficiency: " << effName_ << " but input file with TGraphErrors is not specified; doing nothing. " << std::endl; return false; }
theEfficiencyFile_ = new TFile(myParameters_.efficiency_file.c_str());
// initialize formulas for the four categories;
std::string effTmpName; std::string photonCat; TGraphAsymmErrors *graphTmp, *graphClone;
photonCat = std::string("EBHighR9");
effTmpName = effName_+std::string("_")+photonCat; graphTmp = (TGraphAsymmErrors*) theEfficiencyFile_->Get(effTmpName.c_str()); // smearing_eff_graph_[photonCat]=graphTmp;
graphClone=(TGraphAsymmErrors*)graphTmp->Clone(); smearing_eff_graph_[photonCat]=graphClone;
photonCat = std::string("EBLowR9");
effTmpName = effName_+std::string("_")+photonCat; graphTmp = (TGraphAsymmErrors*) theEfficiencyFile_->Get(effTmpName.c_str()); // smearing_eff_graph_[photonCat]=graphTmp;
graphClone=(TGraphAsymmErrors*)graphTmp->Clone(); smearing_eff_graph_[photonCat]=graphClone;
photonCat = std::string("EEHighR9");
effTmpName = effName_+std::string("_")+photonCat; graphTmp = (TGraphAsymmErrors*) theEfficiencyFile_->Get(effTmpName.c_str()); // smearing_eff_graph_[photonCat]=graphTmp;
graphClone=(TGraphAsymmErrors*)graphTmp->Clone(); smearing_eff_graph_[photonCat]=graphClone;
photonCat = std::string("EELowR9");
effTmpName = effName_+std::string("_")+photonCat; graphTmp = (TGraphAsymmErrors*) theEfficiencyFile_->Get(effTmpName.c_str()); // smearing_eff_graph_[photonCat]=graphTmp;
graphClone=(TGraphAsymmErrors*)graphTmp->Clone(); smearing_eff_graph_[photonCat]=graphClone;
delete theEfficiencyFile_;
return true;
}
double EnergySmearer::getWeight(double pt, std::string theCategory, float syst_shift) const
{
std::map<std::string,TGraphAsymmErrors*>::const_iterator theIter = smearing_eff_graph_.find(theCategory);
if( theIter != smearing_eff_graph_.end() ) {
// determine the pair of bins between which you interpolate
int numPoints = ( theIter->second )->GetN();
double x, y;
int myBin = -1;
for (int bin=0; bin<numPoints; bin++ ){
( theIter->second )->GetPoint(bin, x, y);
if(pt > x) {
myBin = bin; }
else break;
}
int binLow, binHigh;
if(myBin == -1) {binHigh = 0; binLow=0;}
else if (myBin == (numPoints-1)) {binHigh = numPoints-1; binLow=numPoints-1;}
else {binLow=myBin; binHigh=myBin+1;}
// get hold of efficiency ratio and error at either points
// low-high refer to the points ; up-down refers to the errors
double xLow, yLow; double xHigh, yHigh;
( theIter->second )->GetPoint(binLow, xLow, yLow);
( theIter->second )->GetPoint(binHigh, xHigh, yHigh);
double errLowYup = ( theIter->second )->GetErrorYhigh(binLow);
double errLowYdown = ( theIter->second )->GetErrorYlow(binLow);
double errHighYup = ( theIter->second )->GetErrorYhigh(binHigh);
double errHighYdown = ( theIter->second )->GetErrorYlow(binHigh);
double theErrorLow, theErrorHigh;
if(syst_shift>0) {theErrorLow = errLowYup; theErrorHigh = errHighYup;}
else {theErrorLow = errLowYdown; theErrorHigh = errHighYdown;}
double theWeight, theError;
theWeight = yLow + (yHigh-yLow) / (xHigh-xLow) * (pt-xLow);
theError = theErrorLow + (theErrorHigh-theErrorLow) / (xHigh-xLow) * (pt-xLow);
return ( theWeight + (theError*syst_shift));
}
else {
std::cout << "category asked: " << theCategory << " was not found - which is a problem. Returning weight 1. " << std::endl;
return 1.;
}
}
EnergySmearerExtrapolation::EnergySmearerExtrapolation(EnergySmearer * smearer) :
target_(smearer),
name_(smearer->name()+"Phi"),
myParameters_(smearer->myParameters_),
needed_(false)
{
for(EnergySmearer::energySmearingParameters::parameterMapConstIt ipivot = myParameters_.smearing_stocastic_pivot.begin();
ipivot != myParameters_.smearing_stocastic_pivot.end(); ++ipivot ) {
if( ! target_->preselCategories_.empty() ) {
bool presel = false;
EnergySmearer::energySmearingParameters::phoCatVectorIt icat = find(myParameters_.photon_categories.begin(),
myParameters_.photon_categories.end(),
ipivot->first);
assert( icat != myParameters_.photon_categories.end() );
for( EnergySmearer::energySmearingParameters::phoCatVectorIt pcat=target_->preselCategories_.begin();
pcat!=target_->preselCategories_.end(); ++pcat) {
if( *pcat > *icat ) {
presel = true;
break;
}
}
if( ! presel ) { continue; }
}
std::cout << ipivot->first << " " << ipivot->second << std::endl;
if( ipivot->second != 0.) {
needed_ = true;
break;
}
}
}
bool EnergySmearerExtrapolation::smearPhoton(PhotonReducedInfo &info, float & weight, int run, float syst_shift) const
{
// modify the target smearer parameters such that the stocastic smearing correspond to syst_shift variations
// from the nominal value
std::string category = EnergySmearer::photonCategory(myParameters_,info);
target_->myParameters_.smearing_stocastic_sigma_error[category] = 0.;
target_->myParameters_.smearing_stocastic_sigma[category] = myParameters_.smearing_stocastic_sigma.find(category)->second
+ syst_shift*myParameters_.smearing_stocastic_sigma_error.find(category)->second;
target_->forceShift_ = true;
return true;
}