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fithmassCard_HGG.C
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// modified script from Josh for signal modeling
#include <stdio.h>
#include <iostream>
#include <sstream>
#include "TMath.h"
#include "TROOT.h"
#include "TStyle.h"
#include "TSystem.h"
#include "TFile.h"
#include "TTree.h"
#include "TH1F.h"
#include "TH2F.h"
#include "TLegend.h"
#include "TCanvas.h"
#include "TCut.h"
#include "TTree.h"
#include "TNtuple.h"
#include "RooRealVar.h"
#include "RooArgSet.h"
#include "RooArgList.h"
#include "RooDataSet.h"
#include "RooExponential.h"
#include "RooLandau.h"
#include "RooPlot.h"
#include "RooFit.h"
#include "RooAddPdf.h"
#include "RooGaussian.h"
#include "RooCBShape.h"
#include "RooFFTConvPdf.h"
#include "RooDataHist.h"
#include "RooHistPdf.h"
#include "RooHistFunc.h"
#include "RooMoment.h"
#include "RooFitResult.h"
#include "RooExtendPdf.h"
#include "RooGenericPdf.h"
#include "RooBreitWigner.h"
#include "RooBifurGauss.h"
#include "RooProdPdf.h"
#include "TArrow.h"
#include "RooCategory.h"
#include "RooSimultaneous.h"
#include "RooWorkspace.h"
#include "RooConstVar.h"
#include "TEfficiency.h"
#include "RooConstVar.h"
#include "RooAddition.h"
#include "TTreeFormula.h"
#include "TLatex.h"
#include "TString.h"
#include "RooHist.h"
#include "TMVA/Reader.h"
#include "TMVA/Tools.h"
#include "TMVA/Config.h"
#include "TGraphAsymmErrors.h"
//---------------------------------------------------------------------------------------------------------------------------
// Include the header file with the model constans
#include "modelConstants_8TeV.h"
using namespace RooFit;
// --------------------------------------------------------------------------------------
// Weighting functions needed
// 1. PU weighting
TH1D* puweights;
TGraphAsymmErrors* vtxWeights_pass;
TGraphAsymmErrors* vtxWeights_fail;
// Graphs to potentially cottect IDMVA variables
TGraph* scaleIDMVA_EB_hR9;
TGraph* scaleIDMVA_EB_lR9;
TGraph* scaleIDMVA_EE_hR9;
TGraph* scaleIDMVA_EE_lR9;
//Graphs tom potentially correct SigEoE
TGraph* scaleSigEoE_0_10;
TGraph* scaleSigEoE_10_15;
TGraph* scaleSigEoE_15_20;
TGraph* scaleSigEoE_20_25;
float vtxWeight(float ptgg, float vtxz, float genHiggsZ ) {
float diffVtx = TMath::Abs(vtxz - genHiggsZ);
if (diffVtx < 0.1) {
// this is the correct guy
if (!vtxWeights_pass) return 1.0;
return vtxWeights_pass->Eval(ptgg);
}
if (!vtxWeights_fail) return 1.0;
return vtxWeights_fail->Eval(ptgg);
}
void computeEffSigma( RooAbsData* data, RooRealVar* hmass, double nomMass, double& _lowBound, double& _upBound, double& _CI, double binSize1 = 0.1, double binSize2 = 0.005) {
double binSize = binSize1;
double lowBound = nomMass-5.;
double upBound = nomMass-5.;
double allNorm = data->sumEntries();
double theVal = 0.;
double theInterval = 1000;
double theLowBound = 0.;
double theUpBound = 0.;
while (lowBound < nomMass) {
//std::cout<<" testing low bound = "<<lowBound<<" nomMass = "<<nomMass<<std::endl;
upBound = lowBound;
double tmpVal = 0.;
while ( tmpVal < (0.6823 * allNorm) && ( upBound < (nomMass+5.)) ) {
upBound += binSize;
hmass->setRange("intrange",lowBound,upBound);
tmpVal = data->sumEntries("1","intrange");
}
if( tmpVal > (0.6823 * allNorm) ) {
if ( (upBound - lowBound) < theInterval ){
theLowBound = lowBound;
theUpBound = upBound;
theInterval = (upBound - lowBound);
theVal = tmpVal;
}
lowBound += binSize;
} else {
//std::cout<<" Sigma eff: stopping loop, upper bound reached limit: "<<lowBound<<" - "<<upBound<<" with "<<tmpVal/allNorm<<std::endl;
break;
}
}
// std::cout<<" found decent first bining:"<<std::endl;
// std::cout<<" "<<theLowBound<<" - "<<theUpBound<<" with "<<theVal/allNorm<<std::endl;
// second round with finer binning
double stopTestLow = theLowBound+3*binSize;
double startTestUp = theUpBound -5*binSize;
lowBound = theLowBound-10*binSize;
binSize = binSize2;
while (lowBound < stopTestLow ) {
//std::cout<<" testing low bound = "<<lowBound<<std::endl;
upBound = startTestUp;
double tmpVal = 0.;
while ( tmpVal < (0.6823 * allNorm) && ( upBound < (nomMass+5.) ) ) {
upBound += binSize;
hmass->setRange("intrange",lowBound,upBound);
tmpVal = data->sumEntries("1","intrange");
}
//std::cout<<" up = "<<upBound<<" val = "<<tmpVal/allNorm<<" range = "<<upBound-lowBound<<std::endl;
if( tmpVal > (0.6823 * allNorm) ) {
if ( (upBound - lowBound) < theInterval ){
//std::cout<<" found improved binning with "<<lowBound<<" - "<<upBound<<" CL = "<<tmpVal/allNorm<<std::endl;
theLowBound = lowBound;
theUpBound = upBound;
theInterval = (upBound - lowBound);
theVal = tmpVal;
}
lowBound += binSize;
} else {
//std::cout<<" Sigma eff: stopping loop, upper bound reached limit: "<<lowBound<<" - "<<upBound<<" with "<<tmpVal/allNorm<<std::endl;
break;
}
}
_lowBound = theLowBound;
_upBound = theUpBound;
_CI = theVal/allNorm;
}
void computeEffSigmaBinned( TH1D* data, double nomMass, double& _lowBound, double& _upBound, double& _CI, double binSize1 = 0.1, double binSize2 = 0.005) {
double binSize = binSize1;
double lowBound = nomMass-5.;
double upBound = nomMass-5.;
double allNorm = data->Integral();
double theVal = 0.;
double theInterval = 1000;
double theLowBound = 0.;
double theUpBound = 0.;
while (lowBound < nomMass) {
//std::cout<<" testing low bound = "<<lowBound<<" nomMass = "<<nomMass<<std::endl;
upBound = lowBound;
double tmpVal = 0.;
while ( tmpVal < (0.6823 * allNorm) && ( upBound < (nomMass+5.)) ) {
upBound += binSize;
tmpVal = data->Integral(data->FindBin(lowBound),data->FindBin(upBound));
}
if( tmpVal > (0.6823 * allNorm) ) {
if ( (upBound - lowBound) < theInterval ){
theLowBound = lowBound;
theUpBound = upBound;
theInterval = (upBound - lowBound);
theVal = tmpVal;
}
lowBound += binSize;
} else {
//std::cout<<" Sigma eff: stopping loop, upper bound reached limit: "<<lowBound<<" - "<<upBound<<" with "<<tmpVal/allNorm<<std::endl;
break;
}
}
// std::cout<<" found decent first bining:"<<std::endl;
// std::cout<<" "<<theLowBound<<" - "<<theUpBound<<" with "<<theVal/allNorm<<std::endl;
// second round with finer binning
double stopTestLow = theLowBound+3*binSize;
double startTestUp = theUpBound -5*binSize;
lowBound = theLowBound-10*binSize;
binSize = binSize2;
while (lowBound < stopTestLow ) {
//std::cout<<" testing low bound = "<<lowBound<<std::endl;
upBound = startTestUp;
double tmpVal = 0.;
while ( tmpVal < (0.6823 * allNorm) && ( upBound < (nomMass+5.) ) ) {
upBound += binSize;
tmpVal = data->Integral(data->FindBin(lowBound),data->FindBin(upBound));
}
//std::cout<<" up = "<<upBound<<" val = "<<tmpVal/allNorm<<" range = "<<upBound-lowBound<<std::endl;
if( tmpVal > (0.6823 * allNorm) ) {
if ( (upBound - lowBound) < theInterval ){
//std::cout<<" found improved binning with "<<lowBound<<" - "<<upBound<<" CL = "<<tmpVal/allNorm<<std::endl;
theLowBound = lowBound;
theUpBound = upBound;
theInterval = (upBound - lowBound);
theVal = tmpVal;
}
lowBound += binSize;
} else {
//std::cout<<" Sigma eff: stopping loop, upper bound reached limit: "<<lowBound<<" - "<<upBound<<" with "<<tmpVal/allNorm<<std::endl;
break;
}
}
_lowBound = theLowBound;
_upBound = theUpBound;
_CI = theVal/allNorm;
}
// BeamSpot reweighting
float bsweight( float vtxz, float genHiggsZ ) {
float diffVtx = TMath::Abs(vtxz - genHiggsZ);
if (diffVtx < 0.1) return 1.;
float newBSmean1 = 9.9391e-02;
float newBSmean2 = 1.8902e-01;
float newBSnorm1 = 5.3210e+00;
float newBSnorm2 = 4.1813e+01;
float newBSsigma1 = 9.7530e-01;
float newBSsigma2 = 7.0811e+00;
float oldBSmean1 = 7.2055e-02;
float oldBSmean2 = 4.9986e-01;
float oldBSnorm1 = 3.5411e+00;
float oldBSnorm2 = 4.0258e+01;
float oldBSsigma1 = 7.9678e-01;
float oldBSsigma2 = 8.5356e+00;
float newBSgaus1 = newBSnorm1*TMath::Exp(-0.5*TMath::Power( (diffVtx - newBSmean1)/newBSsigma1 , 2));
float newBSgaus2 = newBSnorm2*TMath::Exp(-0.5*TMath::Power( (diffVtx - newBSmean2)/newBSsigma2 , 2));
float oldBSgaus1 = oldBSnorm1*TMath::Exp(-0.5*TMath::Power( (diffVtx - oldBSmean1)/oldBSsigma1 , 2));
float oldBSgaus2 = oldBSnorm2*TMath::Exp(-0.5*TMath::Power( (diffVtx - oldBSmean2)/oldBSsigma2 , 2));
float reweight = 1.1235*(newBSgaus1 + newBSgaus2)/(oldBSgaus1 + oldBSgaus2);
return reweight;
}
//float puweight(Double_t npu, int wset=0) {
float puweight(Double_t npu) {
if( !puweights ) return 1.;
return puweights->GetBinContent(puweights->FindFixBin(npu));
}
void setpuweights(TFile *file, TH1D *target) {//ming:set puweights for each process; might not be necessary when the pu distributions for different mc are the same
TDirectory *dirmcpv = (TDirectory*)file->FindObjectAny("AnaFwkMod");
TH1D *hnpu = (TH1D*)dirmcpv->Get("hNPU");
// TH1D *hpumc = new TH1D("thNPU","",60,0.,60.);
// for( int i=0; i<=61; ++i)
// hpumc->SetBinContent(i,hnpu->GetBinContent(i));
TH1D *hpumc = (TH1D*)hnpu->Clone();
hpumc->Sumw2();
hpumc->Scale(1.0/hpumc->Integral(0,hpumc->GetNbinsX()+1));
TH1D *htargettmp = new TH1D("htargettmp","", hpumc->GetNbinsX(), hpumc->GetXaxis()->GetXmin(), hpumc->GetXaxis()->GetXmax());
htargettmp->Sumw2();
for (int ibin = 0; ibin<=(htargettmp->GetNbinsX()+1); ++ibin) {
htargettmp->Fill(htargettmp->GetBinCenter(ibin),target->GetBinContent(target->FindFixBin(htargettmp->GetBinCenter(ibin))));
}
htargettmp->Scale(1.0/htargettmp->Integral(0,htargettmp->GetNbinsX()+1));
if( puweights )
delete puweights; // delete old guy, not needed anymore..
puweights = new TH1D((*htargettmp)/(*hpumc));
delete htargettmp;
return;
}
// 2. PT weights
TH1D *ptweights = 0;
float ptweight(float genhpt) {
if (genhpt<0 || !ptweights) return 1.0;
//return 1.0;
return ptweights->GetBinContent(ptweights->FindFixBin(genhpt));
}
// set to hold all the per-photon efficiency scale factors
// only PHEFFSCALESET s that are turned ON will be considered
// map holds the name of the set, than a pointer to another map, holding pairs of <etamin,etamax> and a vector with entries: #R9 boundaries, (R9boundaries), (scalefactors)
// so length of vector must be (1 + #R9boundaries + #R9boundaries+1) = 4 in the case of one R9 boundary
std::map<TString, std::map< std::pair<double,double>, std::vector<double>* >*> phEffScaleSets;
float effweightCard( float sceta, float r9 ) {
double scale = 1.;
// loop over all scale factor sets
for( std::map<TString, std::map< std::pair<double,double>, std::vector<double>* >*>::iterator it = phEffScaleSets.begin(); it != phEffScaleSets.end(); ++it ){
std::map< std::pair<double, double>, std::vector<double>* >* thisSetMap = it->second;
for( std::map< std::pair<double, double>, std::vector<double>* >::iterator itEta = thisSetMap->begin(); itEta != thisSetMap->end(); ++itEta ) {
std::pair<double, double> etaBound = itEta->first;
std::vector<double>* values = itEta->second;
if ( sceta > (float) etaBound.first && sceta < (float) etaBound.second ) { // photon is in this eta-bin
if ( r9 < (float) values->at(0) ) scale *= values->at(1);
else scale *= values->at(2);
}
}
}
return scale;
}
float trigeffscale() {
return (float) 0.9968;
}
TTree *ApplyAsFriend(TTree *intree, TString tmvaweights, const std::vector<std::string> &vars, std::string targetname, bool scaleIDMVA = false, bool scaleSigEoE = false) {
int nvars = vars.size();
//initialize TTreeFormulas to read variables from TTree
std::vector<TTreeFormula*> inputforms;
for (std::vector<std::string>::const_iterator it = vars.begin();
it != vars.end(); ++it) {
inputforms.push_back(new TTreeFormula(it->c_str(),it->c_str(),intree));
}
Float_t target = 0.;
Float_t *vals = new Float_t[nvars+12];
inputforms.push_back(new TTreeFormula("ph1.sceta","ph1.sceta",intree));
inputforms.push_back(new TTreeFormula("ph2.sceta","ph2.sceta",intree));
inputforms.push_back(new TTreeFormula("ph1.r9","ph1.r9",intree));
inputforms.push_back(new TTreeFormula("ph2.r9","ph2.r9",intree));
inputforms.push_back(new TTreeFormula("ph1.e","ph1.e",intree));
inputforms.push_back(new TTreeFormula("ph1.eerr","ph1.eerr",intree));
inputforms.push_back(new TTreeFormula("ph1.eerrsmeared","ph1.eerrsmeared",intree));
inputforms.push_back(new TTreeFormula("ph2.e","ph2.e",intree));
inputforms.push_back(new TTreeFormula("ph2.eerr","ph2.eerr",intree));
inputforms.push_back(new TTreeFormula("ph2.eerrsmeared","ph2.eerrsmeared",intree));
inputforms.push_back(new TTreeFormula("mass","mass",intree));
inputforms.push_back(new TTreeFormula("deltamvtx","deltamvtx",intree));
//initialize tmva reader
TMVA::Reader* tmva = new TMVA::Reader();
for (unsigned int ivar=0; ivar<vars.size(); ++ivar) {
tmva->AddVariable(vars.at(ivar),&vals[ivar]);
}
tmva->BookMVA("BDTG",tmvaweights);
//initialize new friend tree
TTree *friendtree = new TTree();
friendtree->SetName(targetname.c_str());
friendtree->Branch(targetname.c_str(),&target,TString::Format("%s/F",targetname.c_str()));
int currenttree = -1;
for (Long64_t iev=0; iev<intree->GetEntries(); ++iev) {
if (iev%100000==0) printf("%i\n",int(iev));
intree->LoadTree(iev);
int thistree = intree->GetTreeNumber();
bool newtree = currenttree!=thistree;
currenttree = thistree;
for (int i=0; i<nvars+12; ++i) {
if (newtree) inputforms[i]->Notify();
vals[i] = inputforms[i]->EvalInstance();
}
if (scaleIDMVA) {
bool ph1_isHR9 = ( vals[nvars] > 0.94 );
bool ph2_isHR9 = ( vals[nvars+1] > 0.94 );
bool ph1_isEB = (TMath::Abs(vals[nvars+2]) < 1.5);
bool ph2_isEB = (TMath::Abs(vals[nvars+3]) < 1.5);
if(ph1_isEB) {
if(ph1_isHR9)
vals[nvars-2] = scaleIDMVA_EB_hR9->Eval( (double) vals[nvars-2] );
else
vals[nvars-2] = scaleIDMVA_EB_lR9->Eval( (double) vals[nvars-2] );
} else {
if(ph1_isHR9)
vals[nvars-2] = scaleIDMVA_EE_hR9->Eval( (double) vals[nvars-2] );
else
vals[nvars-2] = scaleIDMVA_EE_lR9->Eval( (double) vals[nvars-2] );
}
if(ph2_isEB) {
if(ph2_isHR9)
vals[nvars-1] = scaleIDMVA_EB_hR9->Eval( (double) vals[nvars-1] );
else
vals[nvars-1] = scaleIDMVA_EB_lR9->Eval( (double) vals[nvars-1] );
} else {
if(ph2_isHR9)
vals[nvars-1] = scaleIDMVA_EE_hR9->Eval( (double) vals[nvars-1] );
else
vals[nvars-1] = scaleIDMVA_EE_lR9->Eval( (double) vals[nvars-1] );
}
}
if (scaleSigEoE) {
double _mass = vals[nvars+10];
double _deltamvtx = vals[nvars+11];
double _ph1_e = vals[nvars+4];
double _ph1_eerr = vals[nvars+5];
double _ph1_eerrsmaered = vals[nvars+6];
double _ph2_e = vals[nvars+7];
double _ph2_eerr = vals[nvars+8];
double _ph2_eerrsmaered = vals[nvars+9];
double _ph1_smear = TMath::Power(_ph1_eerrsmaered,2) - TMath::Power(_ph1_eerr,2);
double _ph2_smear = TMath::Power(_ph2_eerrsmaered,2) - TMath::Power(_ph2_eerr,2);
double _ph1_sigEoE = 0.; //TMath::Exp( TMath::Log(_ph1_eerr/_ph1_e) );
double _ph2_sigEoE = 0.; //TMath::Exp( TMath::Log(_ph2_eerr/_ph2_e) );
if( TMath::Abs(vals[nvars]) < 1.0 ) {
_ph1_sigEoE = TMath::Exp( scaleSigEoE_0_10 ->Eval( TMath::Log(_ph1_eerr/_ph1_e) ) );
} else if( TMath::Abs(vals[nvars]) < 1.5 ) {
_ph1_sigEoE = TMath::Exp( scaleSigEoE_10_15->Eval( TMath::Log(_ph1_eerr/_ph1_e) ) );
} else if( TMath::Abs(vals[nvars]) < 2.0 ) {
_ph1_sigEoE = TMath::Exp( scaleSigEoE_15_20->Eval( TMath::Log(_ph1_eerr/_ph1_e) ) );
} else {
_ph1_sigEoE = TMath::Exp( scaleSigEoE_20_25->Eval( TMath::Log(_ph1_eerr/_ph1_e) ) );
}
if( TMath::Abs(vals[nvars+1]) < 1.0 ) {
_ph2_sigEoE = TMath::Exp( scaleSigEoE_0_10 ->Eval( TMath::Log(_ph2_eerr/_ph2_e) ) );
} else if( TMath::Abs(vals[nvars+1]) < 1.5 ) {
_ph2_sigEoE = TMath::Exp( scaleSigEoE_10_15->Eval( TMath::Log(_ph2_eerr/_ph2_e) ) );
} else if( TMath::Abs(vals[nvars+1]) < 2.0 ) {
_ph2_sigEoE = TMath::Exp( scaleSigEoE_15_20->Eval( TMath::Log(_ph2_eerr/_ph2_e) ) );
} else {
_ph2_sigEoE = TMath::Exp( scaleSigEoE_20_25->Eval( TMath::Log(_ph2_eerr/_ph2_e) ) );
}
double _ph1_eerr_mod = _ph1_sigEoE * _ph1_e;
double _ph2_eerr_mod = _ph2_sigEoE * _ph2_e;
double _ph1_eerrsmeared_mod = TMath::Sqrt( TMath::Power(_ph1_eerr_mod,2) + _ph1_smear );
double _ph2_eerrsmeared_mod = TMath::Sqrt( TMath::Power(_ph2_eerr_mod,2) + _ph2_smear );
double _ph1_sigEoE_mod = _ph1_eerrsmeared_mod/_ph1_e;
double _ph2_sigEoE_mod = _ph2_eerrsmeared_mod/_ph2_e;
double _masserrsmeared = 0.5*_mass*TMath::Sqrt( TMath::Power( _ph1_sigEoE_mod, 2) + TMath::Power( _ph2_sigEoE_mod, 2) );
double _masserrsmearedwrongvtx = TMath::Sqrt(_masserrsmeared*_masserrsmeared + _deltamvtx*_deltamvtx);
vals[0] = _masserrsmeared/_mass;
vals[1] = _masserrsmearedwrongvtx/_mass;
}
target = tmva->EvaluateMVA("BDTG");
friendtree->Fill();
}
//clear TMVA reader
delete tmva;
//clear TTreeFormulas
for (std::vector<TTreeFormula*>::const_iterator it = inputforms.begin();
it != inputforms.end(); ++it) {
delete *it;
}
delete[] vals;
intree->AddFriend(friendtree);
return friendtree;
}
//---------------------------------------------------------------------------------------------------------------------------
// Fwd helper function declaration... implementation at the end
bool validateInput(int iProc, int iCat, int nProcs, int nCats);
bool readWeightsFromConfigCard(TString fileName,
TH1D*& puhisto, TFile*& ptweight, TString& vtxWeightFile);
bool readConfigCard(TString configCardName,
std::map<TString,TString>& procMCfileMap,
std::map<TString,bool>& procOn,
std::map<int,TString>& procIdxMap,
int& numProcs, int& numCats, int& numMasses,
bool*& catIsOn,
std::vector<double>& mhs,
std::vector<int> & mhs_fit,
std::vector<double>& smearingv,
std::vector<TString>& catNames,
std::vector<TString>& catDesc,
std::map<TString,TString>& catToSmearMap,
std::map<TString,float>*& startVals,
std::map<TString,int>*& startValsFixed
);
bool readConfigCardNuissances(TString configCardName, int numCats,
std::vector<RooAbsReal*>& nsigcat,
std::vector<RooAbsReal*>& nsigcat_2nd,
std::vector<RooAbsReal*>& nsigcatModel,
std::vector<RooAbsReal*>& nuissances,
std::vector<RooAbsReal*>& finalnorm,
std::vector<RooAbsReal*>& finalnorm_2nd,
std::vector<RooAbsReal*>& finalnormModel,
std::vector<TString> catnames);
RooAbsPdf* generateMultiGaussian(RooRealVar* mass,
RooRealVar* nomMass,
TString procName, TString quali,
std::map<TString,RooRealVar*>& fitparms,
std::map<TString,float>& startvals,
std::map<TString,int>& valsfixed,
bool rightVtx = true );
bool readParmsAndCatsFromConfigCard( TString fileName,
bool& computeMVAvar,
bool& correctIDMVAvar,
bool& correctSigEoEvar,
TString& mvaWeightFile,
TString& mvaDefFile,
TString& idmvaCorrFile,
TString& sigeoeCorrFile,
TString& projectDir,
TString& modname,
TString& treename,
TString& nosmearmodname,
TString& nosmeartreename,
double& massmax, double& massmin,
double& fitmassmax, double& fitmassmin,
double& lumi,
std::map<TString,TString>& auxCats,
std::map<TString,TCut>& anaCats,
TCut& theBaseCut
);
bool resetStartValues(std::map<TString,RooRealVar*>& fitparms,
std::map<TString,float>& startvals);
RooDataSet *makedset(TString name, TTree *tree, TCut cut, RooRealVar *hmass, RooRealVar *weight, double nomMass, bool& empty, double moreWeights = 1., TH1D* hist = NULL) {
RooDataSet *dset = new RooDataSet(name,"",RooArgSet(*hmass,*weight),weight->GetName());
RooRealVar *vset = (RooRealVar*)dset->get()->find(hmass->GetName());
tree->SetEstimate(tree->GetEntries());
Int_t nev = tree->Draw("mass",cut,"goff");
double *vals = tree->GetV1();
double *weights = tree->GetW();
for (int iev=0; iev<nev; ++iev) {
vset->setVal(vals[iev]);
dset->add(*vset,weights[iev]*moreWeights);
if ( hist )
hist->Fill(vals[iev], weights[iev]*moreWeights);
}
empty = false;
double dummyWeight = 0.00000001;
// if there's no event, add one dummy event at the nominal mass with small weight...
if (nev == 0) {
empty = true;
std::cout<<" WARNING: dataset with name "<<name<<" has not events. The Cuts are: "<<std::endl;
std::cout<<" Cut = "<<cut<<std::endl;
std::cout<<" adding a dummy Event with weight "<<dummyWeight<<" @mass = "<<nomMass<<std::endl;
vset->setVal(nomMass);
dset->add(*vset,dummyWeight);
vset->setVal(nomMass-2.);
dset->add(*vset,dummyWeight/2.);
vset->setVal(nomMass+2.);
dset->add(*vset,dummyWeight/2.);
}
return dset;
}
// ============================================================================================
#define DOBDT
//void createSignalModels(TString configCardName="mettag.config", modeltype model = STANDARDMODEL) {
void fithmassCard_HGG(bool fitonly = false,
bool doeffsigma = true,
bool doeffsmear = true,
bool doSecondSignal = false,
TString baseString = "moriond13",
#ifdef DOBDT
//TString configCardName="/home/fabstoec/cms/root/templateHGG_8TeV_Moriond.config") {
TString configCardName="templateHGG_8TeV_Moriond.config") {
#else
TString configCardName="/home/fabstoec/cms/root/templateHGG_8TeV_CiC_Moriond.config") {
#endif
//************************************************************************************
// SETUP PART
// -----------------------------------------------------
std::map<TString,double*> processCrossSectionMap;
initProcessCSArrayMap(processCrossSectionMap);
// generate a map for the guys, so we can acces by names
std::map<TString,double*>* modelParmsMap = new std::map<TString,double*>();
modelParmsMap->insert(std::pair<TString,double*>(TString("smbr"),smbr));
modelParmsMap->insert(std::pair<TString,double*>(TString("ffbr") ,ffbr));
modelParmsMap->insert(std::pair<TString,double*>(TString("sm4br"),sm4br));
modelParmsMap->insert(std::pair<TString,double*>(TString("gghxsec"),gghxsec));
modelParmsMap->insert(std::pair<TString,double*>(TString("vbfxsec"),vbfxsec));
modelParmsMap->insert(std::pair<TString,double*>(TString("wzhxsec"),wzhxsec));
modelParmsMap->insert(std::pair<TString,double*>(TString("tthxsec"),tthxsec));
modelParmsMap->insert(std::pair<TString,double*>(TString("sm4gghxsec"),sm4gghxsec));
//----------------------------------------------------------------------------
// sum the cross-sections properly
std::vector<TString> sumRuleNames;
std::vector<std::vector<const char*>* > sumRuleComps;
std::vector<const char*> myVec;
std::vector<const char*> sumNames_SM;
sumNames_SM.push_back("wzhxsec");
sumNames_SM.push_back("gghxsec");
sumNames_SM.push_back("vbfxsec");
sumNames_SM.push_back("tthxsec");
sumRuleNames.push_back("smxsec");
sumRuleComps.push_back(&sumNames_SM);
std::vector<const char*> sumNames_FF;
sumNames_FF.push_back("wzhxsec");
sumNames_FF.push_back("vbfxsec");
sumRuleNames.push_back("ffxsec");
sumRuleComps.push_back(&sumNames_FF);
std::vector<const char*> sumNames_SM4;
sumNames_SM4.push_back("wzhxsec");
sumNames_SM4.push_back("sm4gghxsec");
sumNames_SM4.push_back("vbfxsec");
sumNames_SM4.push_back("tthxsec");
sumRuleNames.push_back("sm4xsec");
sumRuleComps.push_back(&sumNames_SM4);
//----------------------------------------------------------------------------
std::map<TString,std::vector<const char*>*> procxseclist_list;
std::vector<const char*> smlist;
smlist.push_back("gghxsec");
smlist.push_back("vbfxsec");
smlist.push_back("wzhxsec");
smlist.push_back("tthxsec");
procxseclist_list.insert(std::pair<TString,std::vector<const char*>*>("sm",&smlist));
std::vector<const char*> sm4list;
sm4list.push_back("sm4gghxsec");
sm4list.push_back("vbfxsec");
sm4list.push_back("wzhxsec");
sm4list.push_back("tthxsec");
procxseclist_list.insert(std::pair<TString,std::vector<const char*>*>("sm4",&sm4list));
std::vector<const char*> fflist;
fflist.push_back("vbfxsec");
fflist.push_back("wzhxsec");
procxseclist_list.insert(std::pair<TString,std::vector<const char*>*>("ff",&fflist));
std::vector<const char*>* procxseclist_names = NULL;
procxseclist_names = &smlist;
//procxseclist_names = &fflist;
//************************************************************************************
// number of processes, Categories, Models and mass points
int numProcs = -1;
int numCats = -1;
int numMasses = -1;
// decide if category is switched ON/OFF
bool* catIsOn = NULL;
// process names and toggle process ON/OFF
//std::vector<TString> procnames;
//std::vector<bool> procon;
std::map<int,TString> procIdxMap;
std::map<TString,TString> procMCfileMap;
std::map<TString,bool> procon;
// smearing values FIX-ME: compute on the fly...
std::vector<double> smearingv;
// define the masses we're testing to interpolate the models between
std::vector<double> mhs;
std::vector<int> mhs_fit;
double massmax = -1.;
double massmin = -1.;
double fitmassmax = -1.;
double fitmassmin = -1.;
// auxiliary vectro for base cat names...
std::vector<TString> catnamesbase;
std::vector<TString> catdesc;
TString projectDir;
TString modname;
TString treename;
TString nosmearmodname;
TString nosmeartreename;
std::map<TString,TString> auxCatMap;
std::map<TString,TCut> anaCatMap;
TCut theBaseCut;
bool computeMVAvar;
bool correctIDMVAvar;
bool correctSigEoEvar;
TString mvaWeightFile;
TString mvaDefFile;
TString idmvaCorrFile;
TString sigeoeCorrFile;
std::map<TString,float> * startvals = NULL; //new std::map<TString,float> [numCats];
std::map<TString,int > * valsfixed = NULL; //new std::map<TString,float> [numCats];
std::map<TString,TString> catToSmearMap;
bool status = readConfigCard(configCardName,
procMCfileMap,
procon,
procIdxMap,
numProcs, numCats, numMasses,
catIsOn,
mhs,
mhs_fit,
smearingv,
catnamesbase,
catdesc,
catToSmearMap,
startvals,
valsfixed);
if(!status) {
std::cerr<<" ERROR when readin input card "<<configCardName<<"."<<std::endl;
return;
}
// compute how many mh we're actuallt fitting
int numFitMasses = 0;
double minFitMass = 1000.;
double maxFitMass = 0.;
double fitBinSize = 0.;
bool lastWasFit = false;
for( unsigned int iM =0; iM < mhs.size(); ++iM ) {
if( mhs_fit[iM] ) {
if( lastWasFit ) fitBinSize = mhs[iM] - mhs[iM-1];
if( mhs[iM] < minFitMass ) minFitMass = mhs[iM];
if( mhs[iM] > maxFitMass ) maxFitMass = mhs[iM];
numFitMasses++;
lastWasFit = true;
} else
lastWasFit = false;
}
typedef std::map<double,double> massValMap;
typedef std::map<TString,massValMap*> catValMap;
typedef std::map<TString,catValMap*> procValMap;
typedef std::pair<double,double> massValPair;
typedef std::pair<TString,massValMap*> catValPair;
typedef std::pair<TString,catValMap*> procValPair;
// keep track of eff x acc and Nevents per mass/cat/proc
procValMap effaccMap;
procValMap neventsMap;
// 1. Set up the PU and pt-weights from input files
TH1D* hpuest = NULL;
TFile* fileptweight = NULL;
TString vtxWeightFileName = "";
status = readWeightsFromConfigCard( configCardName ,
hpuest ,
fileptweight ,
vtxWeightFileName );
if( !status ) {
std::cerr<<" ERROR: Could not read weight information from file "<<configCardName.Data()<<std::endl;
return;
}
if( ! fileptweight )
std::cerr<<" [INFO] Higgs pt-rewighting turned OFF."<<std::endl;
if( !hpuest )
std::cerr<<" [INFO] PU-rewighting switched OFF."<<std::endl;
// --------------------------------------------------------------------------------------------------
// set up the Vtx weights
if ( vtxWeightFileName.CompareTo("") ) {
//TFile* vtxWeightFile = TFile::Open("/home/fabstoec/cms/cmssw/029/CMSSW_5_3_2_patch4/src/UserCode/HiggsAnalysis/HiggsTo2photons/h2gglobe/Macros/vertex_reweighing_mva_HCP2012_unblind.root");
TFile* vtxWeightFile = TFile::Open(vtxWeightFileName.Data());
TString graphName_pass = "ratioVertex_cat0_pass";
TString graphName_fail = "ratioVertex_cat0_fail";
vtxWeights_pass = (TGraphAsymmErrors*) vtxWeightFile->Get(graphName_pass.Data());
vtxWeights_fail = (TGraphAsymmErrors*) vtxWeightFile->Get(graphName_fail.Data());
if (!vtxWeights_pass || !vtxWeights_fail) {
std::cerr<<" WARNING: Could not load vtx weights."<<std::endl;
return;
}
} else {
vtxWeights_pass = NULL;
vtxWeights_fail = NULL;
std::cout<<" [INFO] Vtx Reweigthing turned OFF."<<std::endl;
}
// ---------------------------------------------------------------------------------------------------------
double lumi = 1.;
status = readParmsAndCatsFromConfigCard( configCardName ,
computeMVAvar ,
correctIDMVAvar ,
correctSigEoEvar ,
mvaWeightFile ,
mvaDefFile ,
idmvaCorrFile ,
sigeoeCorrFile ,
projectDir ,
modname ,
treename ,
nosmearmodname ,
nosmeartreename ,
massmax, massmin ,
fitmassmax, fitmassmin ,
lumi,
auxCatMap ,
anaCatMap ,
theBaseCut
);
if( !status ) {
std::cerr<<" ERROR: Could not read Category information from file "<<configCardName.Data()<<std::endl;
return;
}
std::cout<<" Checking for directory "<<projectDir+TString("/model")<<"..."<<std::endl;
if ( gSystem->mkdir(TString::Format("%s/model",projectDir.Data()), true) < 0 )
std::cerr<<" WARNING: Directory "<<TString::Format("%s/model",projectDir.Data()) <<" does not exists. Creating it..."<<std::endl;
// ------------------------------------------------------------------------------------------
// set-up IDMVA scale functions, if required
TFile* idmvaScaleFile = NULL;
if( correctIDMVAvar ) {
idmvaScaleFile = TFile::Open(idmvaCorrFile.Data());
scaleIDMVA_EB_hR9 = (TGraph*) idmvaScaleFile->Get( "idmvascale_ABCD_hR9_EB" );
scaleIDMVA_EB_lR9 = (TGraph*) idmvaScaleFile->Get( "idmvascale_ABCD_lR9_EB" );
scaleIDMVA_EE_hR9 = (TGraph*) idmvaScaleFile->Get( "idmvascale_ABCD_hR9_EE" );
scaleIDMVA_EE_lR9 = (TGraph*) idmvaScaleFile->Get( "idmvascale_ABCD_lR9_EE" );
}
TFile* sigEoEscaleFile = NULL;
if( correctSigEoEvar ) {
//sigEoEscaleFile = TFile::Open("/home/fabstoec/cms/root/PhotonIDMVA_new/Moriond13_phSigEoE.root");
sigEoEscaleFile = TFile::Open(sigeoeCorrFile.Data());
scaleSigEoE_0_10 = (TGraph*) sigEoEscaleFile->Get( "sigeoescale_ABCD_0_10" );
scaleSigEoE_10_15 = (TGraph*) sigEoEscaleFile->Get( "sigeoescale_ABCD_10_15" );
scaleSigEoE_15_20 = (TGraph*) sigEoEscaleFile->Get( "sigeoescale_ABCD_15_20" );
scaleSigEoE_20_25 = (TGraph*) sigEoEscaleFile->Get( "sigeoescale_ABCD_20_25" );
}
// ==================================================================================
// everything is set up.... starting real work...
// ------------------------------------------------------------------
// General ROOT setup
gROOT->Macro("MitStyle.C");
gStyle->SetErrorX(0);
gStyle->SetOptStat(0);
gROOT->ForceStyle();
gStyle->SetOptStat(1110);
gStyle->SetLegendBorderSize(0);
gStyle->SetLegendFillColor(0);
gStyle->SetLabelColor(1, "XYZ");
gStyle->SetLabelFont(42, "XYZ");
gStyle->SetLabelOffset(0.007, "XYZ");
gStyle->SetLabelSize(0.035, "XYZ");
gStyle->SetTitleColor(1, "XYZ");
gStyle->SetTitleFont(42, "XYZ");
gStyle->SetTitleOffset(1., "XZ");