QString BWGraphSource::legend(int i,float v) const
{
if(i==0)
return RSGraphSource::legend(i,v) + " Total: " + niceNumber(_total_recv) ;
else
return RSGraphSource::legend(i,v) + " Total: " + niceNumber(_total_sent) ;
}
int plotUnfoldingMatrixRooUnfold(
int analysisIs2D,
const TString conf,
DYTools::TRunMode_t runMode=DYTools::NORMAL_RUN,
DYTools::TSystematicsStudy_t systMode=DYTools::NO_SYST,
TString rndStudyStr=""
) {
const double FSRmassDiff=1.; // largest energy of FSR photon to consider
// check whether it is a calculation
if (conf.Contains("_DebugRun_")) {
std::cout << "plotUnfoldingMatrix: _DebugRun_ detected. Terminating the script\n";
return retCodeOk;
}
// normal calculation
gBenchmark->Start("makeUnfoldingMatrix");
{
DYTools::printExecMode(runMode,systMode);
const int debug_print=1;
if (!DYTools::checkSystMode(systMode,debug_print,12,
DYTools::NO_SYST, DYTools::SYST_RND,
DYTools::RESOLUTION_STUDY, DYTools::FSR_STUDY,
DYTools::PU_STUDY,
DYTools::FSR_5plus, DYTools::FSR_5minus,
DYTools::PILEUP_5plus, DYTools::PILEUP_5minus,
//DYTools::ESCALE_STUDY,
DYTools::ESCALE_RESIDUAL,
DYTools::FSR_RND_STUDY, DYTools::PU_RND_STUDY))
return retCodeError;
}
if (!DYTools::setup(analysisIs2D)) {
std::cout << "failed to initialize the analysis\n";
return retCodeError;
}
int escaleResidual_global=1;
//--------------------------------------------------------------------------------------------------------------
// Settings
//==============================================================================================================
InputFileMgr_t inpMgr;
InputFileMgr_t *yieldInpMgr=NULL; // needed for ESCALE_RESIDUAL
if (!inpMgr.Load(conf)) return retCodeError;
// plotDetResponse uses escale!
if (systMode==DYTools::ESCALE_RESIDUAL) {
yieldInpMgr= new InputFileMgr_t(inpMgr);
// create a temporary object to set proper directories
EventSelector_t tmpEventSelector(*yieldInpMgr,runMode,
DYTools::APPLY_ESCALE,"","",EventSelector::_selectDefault);
if (escaleResidual_global) {
inpMgr.rootFileBaseDir("root_files_reg_EScaleResidualGlobal");
std::cout << "changed rootFileBaseDir to <" << inpMgr.rootFileBaseDir()
<< ">\n";
}
}
else if (systMode!=DYTools::RESOLUTION_STUDY) {
// no energy correction for this evaluation
inpMgr.clearEnergyScaleTag();
}
else {
if (inpMgr.energyScaleTag() == "UNCORRECTED") {
std::cout << "RESOLUTION_STUDY needs energy scale correction\n";
return retCodeError;
}
}
// Construct eventSelector, update mgr and plot directory
TString extraTag=rndStudyStr;
EventSelector_t evtSelector(inpMgr,runMode,systMode,
extraTag, "", EventSelector::_selectDefault);
evtSelector.setTriggerActsOnData(false);
// PU and FSR RND studies have to provide the seed externally
int globalSeed=-1;
for (int i=0; (globalSeed<=0) && (i<rndStudyStr.Length()); ++i) {
globalSeed=atoi(rndStudyStr.Data() + i);
}
// Event weight handler
EventWeight_t evWeight;
int res=evWeight.init(inpMgr.puReweightFlag(),inpMgr.fewzFlag(),
systMode,rndStudyStr);
// May 01, 2014: PU weights have to be applied at all steps
//EventWeight_t evWeightNoPU; // for FSR unfolding weights
//if (res) res=evWeightNoPU.init(0,inpMgr.fewzFlag(),systMode,rndStudyStr);
if (!res) {
std::cout << "failed to prepare weights\n";
return retCodeError;
}
// Prepare output directory
inpMgr.constDir(systMode,1);
int seedMin=inpMgr.userKeyValueAsInt("SEEDMIN");
int seedMax=inpMgr.userKeyValueAsInt("SEEDMAX");
int dSeed=1;
int seedDiff=(systMode==DYTools::FSR_STUDY) ? 3 : (seedMax-seedMin+1);
//std::cout << "seedMin..seedMax=" << seedMin << ".." << seedMax << "\n";
//return retCodeOk;
//--------------------------------------------------------------------------------------------------------------
// Main analysis code
//==============================================================================================================
std::cout << mainpart;
TRandom random;
std::vector<ElectronEnergyScale*> escaleV;
std::vector<EventWeight_t*> specEWeightsV;
std::vector<double> specReweightsV;
std::vector<EventSelector_t*> evtSelectorV;
std::vector<TH2D*> specTH2DWeightV; // used for ESCALE_RESIDUAL
double specWeight=1.;
int useSpecWeight=0;
if (systMode==DYTools::FSR_5plus) { specWeight=1.05; useSpecWeight=1; }
else if (systMode==DYTools::FSR_5minus) { specWeight=0.95; useSpecWeight=1; }
else if (systMode==DYTools::FSR_RND_STUDY) useSpecWeight=1;
// check random seed. Special weights use their own,
// built-in dependencies on seed
{
int startSeed=-1;
if (systMode==DYTools::SYST_RND) {
std::cout << "setting startSeed=" << globalSeed << "\n";
startSeed= globalSeed;
}
random.SetSeed(startSeed);
gRandom->SetSeed(startSeed);
}
// The random seeds are needed only if we are running this script in systematics mode
if (systMode==DYTools::FSR_STUDY) {
specReweightsV.reserve(seedDiff);
specEWeightsV.reserve(seedDiff);
for (int i=0; i<seedDiff; ++i) {
double specW= 1 + 0.05*(i-1);
specReweightsV.push_back(specW);
specEWeightsV.push_back(new EventWeight_t(evWeight));
}
}
else if (systMode==DYTools::PU_STUDY) {
if (inpMgr.puReweightFlag()==0) {
std::cout << "systMode=PU_STUDY needs puReweightFlag=1 in the input file\n";
return retCodeError;
}
specEWeightsV.reserve(2);
for (int i=0; i<2; ++i) {
DYTools::TSystematicsStudy_t study=(i==0) ? DYTools::PILEUP_5minus : DYTools::PILEUP_5plus;
EventWeight_t *ew=new EventWeight_t();
if (!ew->init(inpMgr.puReweightFlag(),inpMgr.fewzFlag(),study,rndStudyStr)) {
std::cout << "in plotUnfoldingMatrix.C\n";
return retCodeError;
}
specEWeightsV.push_back(ew);
}
}
else if (systMode==DYTools::SYST_RND) {
// nothing special about weights
}
else if (systMode==DYTools::RESOLUTION_STUDY) {
if (seedMax==-111) {
seedMin=-111;
seedMax= 111;
dSeed=seedMax-seedMin;
seedDiff=2;
}
if (seedMax < seedMin) {
printf("error: randomSeedMax=%d, seedMin=%d\n",seedMax,seedMin);
return retCodeError;
}
specEWeightsV.reserve(seedDiff); // not used, but needed as a check
escaleV.reserve(seedDiff);
for (int i=seedMin; i<=seedMax; i+=dSeed) {
TString escaleTag=inpMgr.energyScaleTag() +
TString(Form("_MIRROR_RANDOMIZED%d",i));
ElectronEnergyScale *ees= new ElectronEnergyScale(escaleTag);
if (1) {
std::cout << "randomSeed=" << i << ". EScale=";
ees->print();
std::cout<<"\n";
}
escaleV.push_back(ees);
specEWeightsV.push_back(new EventWeight_t(evWeight));
EventSelector_t *evtSel=new EventSelector_t(evtSelector,ees);
// correction acts like on data!
evtSel->setEScaleCorrectionType(DYTools::DATA,DYTools::ESCALE_STUDY_RND);
//evtSel->editECName().Append(Form("_idx%d",i+seedMin));
evtSelectorV.push_back(evtSel);
}
}
// prepare tools for ESCALE_RESIDUAL
TH2D* h2ShapeWeights=NULL;
if (systMode==DYTools::ESCALE_RESIDUAL) {
if (!yieldInpMgr) {
std::cout << "yieldInpMgr had to be created\n";
return retCodeError;
}
DYTools::TSystematicsStudy_t yieldSystMode=DYTools::APPLY_ESCALE;
TString shapeFName=yieldInpMgr->signalYieldFullFileName(yieldSystMode,1);
delete yieldInpMgr; // no longer needed
if (rndStudyStr.Length()) {
shapeFName.ReplaceAll(TString("__") + rndStudyStr,"");
}
TString subdir="ShapeReweight";
TString field="zeeMCShapeReweight_";
TString ddBkg=(inpMgr.userKeyValueAsInt("DDBKG")==1) ? "ddBkg" : "mcBkg";
field.Append(ddBkg);
std::cout << "Obtaining shape weights from <"
<< shapeFName << ">"
<< "(use" << ddBkg << ")\n";
h2ShapeWeights=LoadHisto2D(field,shapeFName,subdir,1);
if (!h2ShapeWeights) {
std::cout << "failed to find histo \"ZeeMCShapeReweight\"\n";
return retCodeError;
}
if ((DYTools::massBinningSet==DYTools::_MassBins_2012) &&
(DYTools::study2D==1)) {
HERE("set weights for the underflow bin to 1.");
int ibin=1;
for (int jbin=1; jbin<=24; jbin++) {
h2ShapeWeights->SetBinContent(ibin,jbin, 1.);
h2ShapeWeights->SetBinError (ibin,jbin, 0.);
}
}
std::cout << "shapeWeights:\n"; printHisto(h2ShapeWeights);
int ensembleSize= inpMgr.userKeyValueAsInt("RESIDUAL_STUDY_SIZE");
if (ensembleSize<=0) ensembleSize=100;
ensembleSize++;
std::cout << "EScale_residual ensemble size=" << ensembleSize
<< " (one added for non-randomized entry)\n";
std::vector<TString> tmpLabelV; // local variable for testing
specTH2DWeightV.reserve(ensembleSize);
tmpLabelV.reserve(ensembleSize);
specTH2DWeightV.push_back(Clone(h2ShapeWeights,
"h2NonRndShapeW","h2NonRndShapeW"));
tmpLabelV.push_back("NonRndShape");
if (!escaleResidual_global) {
TH2D *h2ResApply=Clone(h2ShapeWeights,"h2ResApply");
// vary randomly and independently in each bin
// prepare histo for randomization. Assume 10% error on the deviation
for (int ibin=1; ibin<=h2ResApply->GetNbinsX(); ++ibin) {
for (int jbin=1; jbin<=h2ResApply->GetNbinsY(); ++jbin) {
double dev=h2ResApply->GetBinContent(ibin,jbin);
//h2ResApply->SetBinError(ibin,jbin, 0.1*dev);
h2ResApply->SetBinError(ibin,jbin, 1.);
h2ResApply->SetBinError(ibin,jbin, dev);
}
}
HistoPair2D_t hpRnd("hpRnd",h2ResApply);
for (int i=1; i<ensembleSize; ++i) {
TString name=Form("rndShapeWeight_%d",i);
TH2D* h2Rnd=hpRnd.randomizedWithinErr(0,name);
specTH2DWeightV.push_back(h2Rnd);
tmpLabelV.push_back(name);
}
}
else { // global variation
for (int i=1; i<ensembleSize; ++i) {
double rnd=gRandom->Gaus(0,1.);
TString name=Form("rndShapeWeight_%d",i);
TH2D *h2Rnd=Clone(h2ShapeWeights,name);
for (int ibin=1; ibin<=h2Rnd->GetNbinsX(); ++ibin) {
for (int jbin=1; jbin<=h2Rnd->GetNbinsY(); ++jbin) {
double shW = h2ShapeWeights->GetBinContent(ibin,jbin);
double rndScale= 1 + rnd*(1-shW);
h2Rnd->SetBinContent(ibin,jbin, rndScale);
}
}
specTH2DWeightV.push_back(h2Rnd);
tmpLabelV.push_back(name);
}
}
if (0) {
specTH2DWeightV.push_back(h2ShapeWeights);
tmpLabelV.push_back("original");
TCanvas *cx= plotProfiles("cx",specTH2DWeightV,tmpLabelV,NULL,1,
"MC/data shape reweight");
cx->Update();
return retCodeStop;
}
}
//
// Set up histograms
//
std::vector<TH1D*> hMassv;
std::vector<TH1D*> hMassBinsv;
//TH1D *hSelEvents=NULL;
// debug distributions: 1GeV bins
//createAnyH1Vec(hMassv,"hMass_",inpMgr.sampleNames(),2500,0.,2500.,"M_{ee} [GeV]","counts/1GeV");
createAnyH1Vec(hMassv,"hMass_",inpMgr.mcSampleNames(),1490,10.,1500.,"M_{ee} [GeV]","counts/1GeV");
// debug distributions for current mass bin
createBaseH1Vec(hMassBinsv,"hMassBins_",inpMgr.mcSampleNames());
// debug: accumulate info about the selected events in the samples
//hSelEvents=createAnyTH1D("hSelEvents","hSelEvents",inpMgr.mcSampleCount(),0,inpMgr.mcSampleCount(),"sampleId","event count");
/*
TH1F *hMassDiff = new TH1F("hMassDiff","", 100, -30, 30);
TH1F *hMassDiffBB = new TH1F("hMassDiffBB","", 100, -30, 30);
TH1F *hMassDiffEB = new TH1F("hMassDiffEB","", 100, -30, 30);
TH1F *hMassDiffEE = new TH1F("hMassDiffEE","", 100, -30, 30);
// These histograms will contain (gen-reco) difference
// for each (mass, Y) bin in a flattened format
TH2F *hMassDiffV = new TH2F("hMassDiffV","",
nUnfoldingBins, -0.5, nUnfoldingBins-0.5,
100, -50.0, 50.0);
TH2F *hYDiffV = new TH2F("hYDiffV","",
nUnfoldingBins, -0.5, nUnfoldingBins-0.5,
100, -5.0, 5.0);
*/
// TH1F *hMassDiffV[nUnfoldingBins];
// for(int i=0; i<nUnfoldingBins; i++){
// sprintf(hname,"hMassDiffV_%d",i);
// hMassDiffV[i] = new TH1F(hname,"",100,-50,50);
// }
UnfoldingMatrix_t detResponse(UnfoldingMatrix::_cDET_Response,"detResponse");
UnfoldingMatrix_t detResponseExact(UnfoldingMatrix::_cDET_Response,"detResponseExact");
UnfoldingMatrix_t detResponseReversed(UnfoldingMatrix::_cDET_Response,"detResponseReversed");
UnfoldingMatrix_t fsrGood(UnfoldingMatrix::_cFSR, "fsrGood");
UnfoldingMatrix_t fsrExact(UnfoldingMatrix::_cFSR, "fsrExact");
UnfoldingMatrix_t fsrDET(UnfoldingMatrix::_cFSR_DET,"fsrDET"); // only relevant indices are checked for ini,fin
UnfoldingMatrix_t fsrDETexact(UnfoldingMatrix::_cFSR_DET,"fsrDETexact"); // all indices are checked
// a good working version: response matrix and invResponse are modified after the inversion
UnfoldingMatrix_t fsrDET_good(UnfoldingMatrix::_cFSR_DET,"fsrDETgood");
// Pretend to have a uniform binning
RooUnfoldResponse rooUnfDetRes(DYTools::nUnfoldingBins,
-0.5,DYTools::nUnfoldingBins-0.5,
"rooUnfDetRes","rooUnfDetRes");
rooUnfDetRes.UseOverflow(true);
std::vector<UnfoldingMatrix_t*> detRespV;
if (systMode==DYTools::NO_SYST) {}
else if (systMode==DYTools::SYST_RND) {
detRespV.reserve(2);
for (int ir=0; ir<2; ++ir) {
TString name=Form("detResponse_seed%d_replica%d",globalSeed,ir);
detRespV.push_back(new UnfoldingMatrix_t(UnfoldingMatrix::_cDET_Response,name));
}
}
else if (systMode==DYTools::RESOLUTION_STUDY) {
detRespV.reserve(escaleV.size());
for (int i=seedMin; i<=seedMax; i+=dSeed) {
TString name=Form("detResponse_seed%d",i);
detRespV.push_back(new UnfoldingMatrix_t(UnfoldingMatrix::_cDET_Response,name));
}
}
else if (systMode==DYTools::FSR_STUDY) {
detRespV.reserve(specReweightsV.size());
for (unsigned int i=0; i<specReweightsV.size(); i++) {
TString wStr=(i==0) ? Form("0%2.0f",specReweightsV[i]*100.) : Form("%3.0f",specReweightsV[i]*100.);
TString name=TString("detResponse_") + wStr;
detRespV.push_back(new UnfoldingMatrix_t(UnfoldingMatrix::_cDET_Response,name));
}
}
else if (systMode==DYTools::PU_STUDY) {
if (specEWeightsV.size()!=2) { std::cout << "expected specEWeights.size=2\n"; return retCodeError; }
detRespV.reserve(specEWeightsV.size());
for (unsigned int i=0; i<specEWeightsV.size(); i++) {
TString wStr=(i==0) ? "PU5minus" : "PU5plus";
TString name=TString("detResponse_") + wStr;
detRespV.push_back(new UnfoldingMatrix_t(UnfoldingMatrix::_cDET_Response,name));
}
}
else if (systMode==DYTools::ESCALE_RESIDUAL) {
unsigned int count=specTH2DWeightV.size();
detRespV.reserve(count);
for (unsigned int i=0; i<count; ++i) {
TString name=Form("detResponse_%s",niceNumber(i,count).Data());
if (i==0) name="detResponse_0_nonRnd";
detRespV.push_back(new UnfoldingMatrix_t(UnfoldingMatrix::_cDET_Response,name));
}
}
/*
else if (systMode==DYTools::ESCALE_STUDY) {
detRespV.reserve(escaleV.size());
for (unsigned int i=0; i<escaleV.size(); ++i) {
TString name=TString("detResponse_") + escaleV[i]->calibrationSetShortName();
detRespV.push_back(new UnfoldingMatrix_t(UnfoldingMatrix_t::_cDET_Response,name));
}
}
*/
if (detRespV.size()) {
std::cout << "names in detRespV:\n";
for (unsigned int i=0; i<detRespV.size(); ++i) {
std::cout << " - " << detRespV[i]->getName() << "\n";
}
}
// check
if ((systMode==DYTools::RESOLUTION_STUDY) ||
(systMode==DYTools::FSR_STUDY) ||
(systMode==DYTools::PU_STUDY)
//|| (systMode==DYTools::ESCALE_STUDY)
) {
if (//(detRespV.size() != escaleV.size()) ||
(detRespV.size() != specEWeightsV.size())) {
std::cout << "error: detRespV.size=" << detRespV.size()
//<< ", escaleV.size=" << escaleV.size()
//<< ", specReweightsV.size=" << specReweightsV.size()
<< ", specEWeightsV.size=" << specEWeightsV.size()
<< "\n";
assert(0);
}
}
//
// Access samples and fill histograms
//
AccessOrigNtuples_t accessInfo;
//
// loop over samples
//
if (DYTools::processData(runMode)) {
double extraWeightFactor=1.0;
EventCounterExt_t ecTotal("total");
for (unsigned int isample=0; isample<inpMgr.mcSampleCount(); ++isample) {
const CSample_t *mcSample=inpMgr.mcSampleInfo(isample);
std::cout << "Processing " << mcSample->getLabel() << "..." << std::endl;
std::cout << " of size " << mcSample->size() << "\n";
if (mcSample->size()!=1) {
std::cout << "mcSample->size is expected to be 1\n";
return retCodeError;
}
for (unsigned int ifile=0; ifile<mcSample->size(); ++ifile) {
// Read input file
TFile *infile= new TFile(mcSample->getFName(ifile),"read");
if (!infile || !infile->IsOpen()) {
TString skimName=inpMgr.convertSkim2Ntuple(mcSample->getFName(ifile));
std::cout << " .. failed. Trying <" << skimName << ">" << std::endl;
infile= new TFile(skimName,"read");
}
assert(infile->IsOpen());
// Get the TTrees
if (!accessInfo.setTree(*infile,"Events",true)) {
return retCodeError;
}
// Find weight for events for this file
// The first file in the list comes with weight 1*extraWeightFactor,
// all subsequent ones are normalized to xsection and luminosity
ULong_t maxEvents = accessInfo.getEntries();
// to match old version package (DYee 7TeV paper),
if (inpMgr.userKeyValueAsInt("USE7TEVMCWEIGHT") &&
(isample==0) && (ifile==0)) {
extraWeightFactor=maxEvents / (inpMgr.totalLumi() * inpMgr.mcSampleInfo(0)->getXsec(ifile));
//extraWeightFactor=maxEvents / inpMgr.mcSampleInfo(0)->getXsec(ifile);
}
//std::cout << "extraWeightFactor=" << extraWeightFactor << ", chk=" << (maxEvents0/inpMgr.mcSampleInfo(0)->getXsec(ifile)) << "\n";
//const double extraWeightFactor=1.0;
if (! evWeight.setWeight_and_adjustMaxEvents(maxEvents,
inpMgr.totalLumi(),
mcSample->getXsec(ifile),
extraWeightFactor, inpMgr.selectEventsFlag())) {
std::cout << "adjustMaxEvents failed\n";
return retCodeError;
}
std::cout << "mcSample xsec=" << mcSample->getXsec(ifile) << ", nEntries=" << maxEvents << "\n";
std::cout << " -> sample base weight is " << evWeight.baseWeight() << "\n";
for (unsigned int iSt=0; iSt<specEWeightsV.size(); ++iSt) {
specEWeightsV[iSt]->setBaseWeight(evWeight);
}
// loop through events
EventCounterExt_t ec(Form("%s_file%d",mcSample->name.Data(),ifile));
ec.setIgnoreScale(0); // 1 - count events, 0 - take weight in account
// adjust the scale in the counter
// if FEWZ weight should be considered, use evWeight.totalWeight() after
// the FEWZ weight has been identified (see a line below)
ec.setScale(evWeight.baseWeight());
std::cout << "numEntries = " << accessInfo.getEntriesFast()
<< ", " << maxEvents << " events will be used" << std::endl;
for(ULong_t ientry=0; ientry<maxEvents; ientry++) {
if (DYTools::isDebugMode(runMode) &&
(ientry>ULong_t(1000000)+DYTools::study2D*ULong_t(2000000))) break; // debug option
//if (DYTools::isDebugMode(runMode) && (ientry>100)) break; // debug option
printProgress(250000," ientry=",ientry,maxEvents);
ec.numEvents_inc();
// Load generator level info
accessInfo.GetGen(ientry);
// If the Z->ll leptons are not electrons, discard this event.
// This is needed for signal MC samples such as Madgraph Z->ll
// where all 3 lepton flavors are possible
if (!accessInfo.genLeptonsAreElectrons()) continue;
// Load event info
accessInfo.GetInfoEntry(ientry);
// Adjust event weight
// .. here "false" = "not data"
evWeight.set_PU_and_FEWZ_weights(accessInfo,false);
//evWeightNoPU.set_PU_and_FEWZ_weights(accessInfo,false);
if (useSpecWeight) {
evWeight.setSpecWeightValue(accessInfo,FSRmassDiff,specWeight);
//evWeightNoPU.setSpecWeightValue(accessInfo,FSRmassDiff,specWeight);
}
// FSR study correction for weight
if (systMode==DYTools::FSR_STUDY) {
for (unsigned int iSt=0; iSt<specEWeightsV.size(); ++iSt) {
specEWeightsV[iSt]->setSpecWeightValue(accessInfo,FSRmassDiff,specReweightsV[iSt]);
}
}
// setup spec weights
// .. here "false" = "not data"
for (unsigned int iSt=0; iSt<specEWeightsV.size(); ++iSt) {
specEWeightsV[iSt]->set_PU_and_FEWZ_weights(accessInfo,false);
}
if (ientry<20) {
std::cout << "ientry=" << ientry << ", "; evWeight.Print(0);
//printf("reweight=%4.2lf, fewz_weight=%4.2lf,dE_fsr=%+6.4lf\n",reweight,fewz_weight,(gen->mass-gen->vmass));
if (systMode!=DYTools::RESOLUTION_STUDY) {
for (unsigned int iSt=0; iSt<specEWeightsV.size(); ++iSt) {
std::cout << " specEWeight[" << iSt << "] = "; specEWeightsV[iSt]->Print(0); //std::cout << "\n";
}
}
std::cout << "\n";
}
// adjust the scale in the counter to include FEWZ
// (and possibly PU) weight
//ec.setScale(evWeight.totalWeight());
FlatIndex_t fiGenPreFsr, fiGenPostFsr;
fiGenPreFsr.setGenPreFsrIdx(accessInfo);
fiGenPostFsr.setGenPostFsrIdx(accessInfo);
// begin FSR unfolding block
fsrGood.fillIni(fiGenPreFsr , evWeight.totalWeight());
fsrGood.fillFin(fiGenPostFsr, evWeight.totalWeight());
if (fiGenPreFsr.isValid() && fiGenPostFsr.isValid()) {
fsrGood.fillMigration(fiGenPreFsr, fiGenPostFsr, evWeight.totalWeight());
fsrExact.fillIni(fiGenPreFsr , evWeight.totalWeight());
fsrExact.fillFin(fiGenPostFsr, evWeight.totalWeight());
fsrExact.fillMigration(fiGenPreFsr, fiGenPostFsr, evWeight.totalWeight());
}
int preFsrOk=0, postFsrOk=0;
if (evtSelector.inAcceptancePreFsr(accessInfo) &&
fiGenPreFsr.isValid()) {
preFsrOk=1;
fsrDET .fillIni(fiGenPreFsr, evWeight.totalWeight());
fsrDET_good.fillIni(fiGenPreFsr, evWeight.totalWeight());
}
if (evtSelector.inAcceptance(accessInfo) &&
fiGenPostFsr.isValid()) {
postFsrOk=1;
fsrDET .fillFin(fiGenPostFsr, evWeight.totalWeight());
fsrDET_good.fillFin(fiGenPostFsr, evWeight.totalWeight());
}
if (preFsrOk && postFsrOk) {
fsrDET.fillMigration(fiGenPreFsr, fiGenPostFsr, evWeight.totalWeight());
fsrDET_good.fillMigration(fiGenPreFsr, fiGenPostFsr, evWeight.totalWeight());
fsrDETexact.fillIni(fiGenPreFsr , evWeight.totalWeight());
fsrDETexact.fillFin(fiGenPostFsr, evWeight.totalWeight());
fsrDETexact.fillMigration(fiGenPreFsr, fiGenPostFsr, evWeight.totalWeight());
}
// end of FSR unfolding block
// check event trigger
if (!evtSelector.eventTriggerOk(accessInfo)) {
continue; // no trigger accept? Skip to next event...
}
ec.numEventsPassedEvtTrigger_inc();
// load dielectron array
accessInfo.GetDielectrons(ientry);
// loop through dielectrons
//int pass=0;
int candCount=0;
mithep::TDielectron uncorrDielectron;
for(Int_t i=0; i<accessInfo.dielectronCount(); i++) {
mithep::TDielectron *dielectron = accessInfo.editDielectronPtr(i);
ec.numDielectrons_inc();
// keep unmodified dielectron
if (escaleV.size()) uncorrDielectron.restoreEScaleModifiedValues(*dielectron);
// escale may modify dielectron! But it should not here
if (!evtSelector.testDielectron(dielectron,accessInfo.evtInfoPtr(),&ec)) continue;
//pass=1;
/******** We have a Z candidate! HURRAY! ********/
candCount++;
ec.numDielectronsPass_inc();
if (ec.numDielectronsOkSameSign_inc(dielectron->q_1,dielectron->q_2)) {
// same sign event
}
//
// Fill structures for response matrix
FlatIndex_t fiReco;
fiReco.setRecoIdx(dielectron);
// Fill the matrix of post-FSR generator level invariant mass and rapidity
double diWeight=evWeight.totalWeight();
detResponse.fillIni(fiGenPostFsr, diWeight);
detResponse.fillFin(fiReco , diWeight);
int bothFIValid=fiGenPostFsr.isValid() && fiReco.isValid();
if (bothFIValid) {
ec.numDielectronsGoodMass_inc();
detResponse.fillMigration(fiGenPostFsr, fiReco, diWeight);
detResponseExact.fillIni(fiGenPostFsr, diWeight);
detResponseExact.fillFin(fiReco , diWeight);
detResponseExact.fillMigration(fiGenPostFsr, fiReco, diWeight);
}
if (fiGenPostFsr.isValid()) {
if (fiReco.isValid()) {
rooUnfDetRes.Fill(fiReco.idx(),fiGenPostFsr.idx(), diWeight);
}
else {
rooUnfDetRes.Miss(fiGenPostFsr.idx(), diWeight);
}
}
else rooUnfDetRes.Fake(fiReco.idx(), diWeight);
detResponseReversed.fillIni(fiReco, diWeight);
detResponseReversed.fillFin(fiGenPostFsr, diWeight);
if (bothFIValid) {
detResponseReversed.fillMigration(fiReco,fiGenPostFsr, diWeight);
}
if (systMode != DYTools::RESOLUTION_STUDY) {
switch(systMode) {
case DYTools::SYST_RND: {
double rnd=gRandom->Gaus(0,1.);
if (rnd==double(0.)) rnd=gRandom->Gaus(0,1.);
int idx=(rnd<double(0.)) ? 0:1;
detRespV[idx]->fillIni( fiGenPostFsr, diWeight );
detRespV[idx]->fillFin( fiReco , diWeight );
if (bothFIValid) {
detRespV[idx]->fillMigration( fiGenPostFsr, fiReco, diWeight);
}
}
break;
case DYTools::ESCALE_RESIDUAL:
for (unsigned int iSt=0; iSt<detRespV.size(); ++iSt) {
const TH2D *h2Rnd= specTH2DWeightV[iSt];
double w=1.;
if (fiReco.isValid()) {
w=h2Rnd->GetBinContent(fiReco.iM()+1,fiReco.iY()+1);
if ((iSt==0) && (ientry<20)) {
std::cout << "dielectron(M,Y)=" << dielectron->mass
<< "," << dielectron->y << ", fiReco="
<< fiReco << ", specWeight=" << w << "\n";
}
}
double studyWeight= diWeight * w;
detRespV[iSt]->fillIni( fiGenPostFsr, studyWeight );
detRespV[iSt]->fillFin( fiReco , studyWeight );
if (bothFIValid) {
detRespV[iSt]->fillMigration( fiGenPostFsr, fiReco,
studyWeight);
}
}
break;
default:
for (unsigned int iSt=0; iSt<detRespV.size(); ++iSt) {
double studyWeight=specEWeightsV[iSt]->totalWeight();
detRespV[iSt]->fillIni( fiGenPostFsr, studyWeight );
detRespV[iSt]->fillFin( fiReco , studyWeight );
if (bothFIValid) {
detRespV[iSt]->fillMigration( fiGenPostFsr, fiReco,
studyWeight );
}
}
}
}
if (escaleV.size() && (systMode==DYTools::RESOLUTION_STUDY)) {
for (unsigned int iESc=0; iESc<escaleV.size(); ++iESc) {
dielectron->restoreEScaleModifiedValues(uncorrDielectron);
if (evtSelectorV[iESc]->testDielectron(dielectron,
accessInfo.evtInfoPtr())) {
FlatIndex_t fiRecoMdf;
fiRecoMdf.setRecoIdx(dielectron);
detRespV[iESc]->fillIni(fiGenPostFsr, diWeight);
detRespV[iESc]->fillFin(fiRecoMdf , diWeight);
if (fiGenPostFsr.isValid() && fiRecoMdf.isValid()) {
detRespV[iESc]->fillMigration(fiGenPostFsr,fiRecoMdf,
diWeight);
}
}
}
}
/*
Bool_t isB1 = DYTools::isBarrel(dielectron->scEta_1);
Bool_t isB2 = DYTools::isBarrel(dielectron->scEta_2);
hMassDiff->Fill(massResmeared - gen->mass);
if( isB1 && isB2 )
hMassDiffBB->Fill(massResmeared - gen->mass);
if( (isB1 && !isB2) || (!isB1 && isB2) )
hMassDiffEB->Fill(massResmeared - gen->mass);
if( !isB1 && !isB2 )
hMassDiffEE->Fill(massResmeared - gen->mass);
hMassDiffV->Fill(iIndexFlatGen, massResmeared - gen->mass);
hYDiffV ->Fill(iIndexFlatGen, dielectron->y - gen->y);
// if(iIndexFlatGen != -1){
// hMassDiffV[iIndexFlatGen]->Fill(massResmeared - gen->mass);
// }
*/
} // end loop over dielectrons
if (candCount>1) ec.numMultiDielectronsOk_inc();
} // end loop over events
infile->Close();
delete infile;
std::cout << ec << "\n";
ecTotal.add(ec);
} // end loop over files
std::cout << "total counts : " << ecTotal << "\n";
} // loop over iSample
} // runMode
UnfoldingMatrix_t fsrDETcorrections(UnfoldingMatrix::_cFSR_DETcorrFactors,"fsrCorrFactors");
if (DYTools::processData(runMode)) {
// Compute the errors on the elements of migration matrix
detResponse.finalizeDetMigrationErr();
detResponseExact.finalizeDetMigrationErr();
detResponseReversed.finalizeDetMigrationErr();
fsrGood.finalizeDetMigrationErr();
fsrExact.finalizeDetMigrationErr();
fsrDET.finalizeDetMigrationErr();
fsrDETexact.finalizeDetMigrationErr();
fsrDET_good.finalizeDetMigrationErr();
for (unsigned int i=0; i<detRespV.size(); ++i) detRespV[i]->finalizeDetMigrationErr();
// Find response matrix, which is simply the normalized migration matrix
std::cout << "find response matrix" << std::endl;
detResponse.computeResponseMatrix();
detResponseExact.computeResponseMatrix();
detResponseReversed.computeResponseMatrix();
fsrGood.computeResponseMatrix();
fsrExact.computeResponseMatrix();
fsrDET.computeResponseMatrix();
fsrDETexact.computeResponseMatrix();
fsrDET_good.computeResponseMatrix();
for (unsigned int i=0; i<detRespV.size(); ++i) detRespV[i]->computeResponseMatrix();
std::cout << "find inverted response matrix" << std::endl;
detResponse.invertResponseMatrix();
detResponseExact.invertResponseMatrix();
detResponseReversed.invertResponseMatrix();
fsrGood.invertResponseMatrix();
fsrExact.invertResponseMatrix();
fsrDET.invertResponseMatrix();
fsrDETexact.invertResponseMatrix();
fsrDET_good.invertResponseMatrix();
for (unsigned int i=0; i<detRespV.size(); ++i) detRespV[i]->invertResponseMatrix();
fsrDETcorrections.prepareFsrDETcorrFactors(fsrDET,fsrDETexact);
//fsrDETcorrections.printYields();
std::cout << "finalize fsrDET_good" << std::endl;
fsrGood.modifyDETResponseMatrices(fsrExact);
fsrDET_good.modifyDETResponseMatrices(fsrDETexact);
std::cout << "prepare flat-index arrays" << std::endl;
detResponse.prepareFIArrays();
detResponseExact.prepareFIArrays();
detResponseReversed.prepareFIArrays();
fsrGood.prepareFIArrays();
fsrExact.prepareFIArrays();
fsrDET.prepareFIArrays();
fsrDETexact.prepareFIArrays();
fsrDET_good.prepareFIArrays();
fsrDETcorrections.prepareFIArrays();
for (unsigned int i=0; i<detRespV.size(); ++i) detRespV[i]->prepareFIArrays();
}
//
// Store constants and reference arrays in files
//
if (DYTools::processData(runMode)) std::cout << "store constants in a file" << std::endl;
//TString outFile=inpMgr.correctionFullFileName("unfolding",systMode,0);
TString outputDir=inpMgr.constDir(systMode,0);
//int saveIdxMin=-1;
TString fnameTag=UnfoldingMatrix_t::generateFNameTag(systMode,globalSeed);
/*
{
TString u="_";
switch(systMode) {
case DYTools::NO_SYST:
fnameTag=DYTools::analysisTag;
break;
case DYTools::SYST_RND:
fnameTag=TString("_replica_") + DYTools::analysisTag;
//saveIdxMin=0;
//fnameTag+=seed;
break;
case DYTools::RESOLUTION_STUDY:
fnameTag=TString("_seed_") + DYTools::analysisTag;
//fnameTag+=seed;
break;
case DYTools::FSR_STUDY:
fnameTag=TString("_fsrStudy_") + DYTools::analysisTag;
//fnameTag=TString("_reweight_") + DYTools::analysisTag;
//fnameTag+= int(100*reweightFsr);
break;
case DYTools::PU_STUDY:
fnameTag=TString("_puStudy_") + DYTools::analysisTag;
break;
case DYTools::ESCALE_STUDY:
fnameTag=DYTools::analysisTag+TString("_escale") + u;
break;
case DYTools::ESCALE_RESIDUAL:
fnameTag=DYTools::analysisTag+TString("_escaleResidual");
break;
default:
std::cout<<"requested mode not recognized when determining fnameTag"<<std::endl;
assert(0);
}
}
*/
if (DYTools::isDebugMode(runMode)) fnameTag.Prepend("_DebugRun_");
std::cout << "fnameTag=<" << fnameTag << ">\n";
CPlot::sOutDir.Append(fnameTag);
CPlot::sOutDir.ReplaceAll(DYTools::analysisTag,"");
CPlot::sOutDir.Append(DYTools::analysisTag);
TString callingMacro="plotUnfoldingMatrix.systMode=";
callingMacro.Append(SystematicsStudyName(systMode));
if (DYTools::processData(runMode)) {
if (//(systMode!=DYTools::NORMAL_RND) &&
(systMode!=DYTools::RESOLUTION_STUDY) &&
//(systMode!=DYTools::FSR_STUDY) &&
(systMode!=DYTools::ESCALE_STUDY)) {
detResponse.autoSaveToFile(outputDir,fnameTag,callingMacro); // detResponse, reference mc arrays
detResponseExact.autoSaveToFile(outputDir,fnameTag,callingMacro);
detResponseReversed.autoSaveToFile(outputDir,fnameTag,callingMacro);
fsrGood.autoSaveToFile(outputDir,fnameTag,callingMacro);
fsrExact.autoSaveToFile(outputDir,fnameTag,callingMacro);
fsrDET.autoSaveToFile(outputDir,fnameTag,callingMacro);
fsrDETexact.autoSaveToFile(outputDir,fnameTag,callingMacro);
fsrDET_good.autoSaveToFile(outputDir,fnameTag,callingMacro);
fsrDETcorrections.autoSaveToFile(outputDir,fnameTag,callingMacro);
}
TString fname=Form("rooUnfDetRes_%s.root",DYTools::analysisTag.Data());
if (DYTools::isDebugMode(runMode))
fname.ReplaceAll(".root","_DebugRun.root");
TFile fout(fname,"recreate");
if (!fout.IsOpen()) {
std::cout << "failed to create the file <" << fout.GetName() << ">\n";
return retCodeError;
}
rooUnfDetRes.Write();
writeBinningArrays(fout,"plotUnfoldingMatrixRooUnfold");
std::cout << "file <" << fout.GetName() << "> created\n";
fout.Close();
for (unsigned int i=0; i<detRespV.size(); i++)
detRespV[i]->autoSaveToFile(outputDir,fnameTag,callingMacro);
// additional saving for systematics
if (systMode==DYTools::FSR_STUDY) {
detRespV[0]->autoSaveToFile(inpMgr.constDir(DYTools::FSR_5minus,0),
UnfoldingMatrix_t::generateFNameTag(DYTools::FSR_5minus,globalSeed),
callingMacro);
detRespV[2]->autoSaveToFile(inpMgr.constDir(DYTools::FSR_5plus,0),
UnfoldingMatrix_t::generateFNameTag(DYTools::FSR_5plus,globalSeed),
callingMacro);
}
else if (systMode==DYTools::PU_STUDY) {
TString dir0=inpMgr.constDir(DYTools::PILEUP_5minus,0);
TString tag0=UnfoldingMatrix_t::generateFNameTag(DYTools::PILEUP_5minus,
globalSeed);
TString dir1=inpMgr.constDir(DYTools::PILEUP_5plus,0);
TString tag1=UnfoldingMatrix_t::generateFNameTag(DYTools::PILEUP_5plus,
globalSeed);
detRespV[0]->autoSaveToFile(dir0,tag0,callingMacro);
detRespV[1]->autoSaveToFile(dir1,tag1,callingMacro);
}
}
else {
if (//(systMode!=DYTools::NORMAL_RND) &&
(systMode!=DYTools::RESOLUTION_STUDY) &&
//(systMode!=DYTools::FSR_STUDY) &&
(systMode!=DYTools::ESCALE_STUDY)) {
if (!detResponse.autoLoadFromFile(outputDir,fnameTag) ||
!detResponseExact.autoLoadFromFile(outputDir,fnameTag) ||
!detResponseReversed.autoLoadFromFile(outputDir,fnameTag) ||
!fsrGood.autoLoadFromFile(outputDir,fnameTag) ||
!fsrExact.autoLoadFromFile(outputDir,fnameTag) ||
!fsrDET.autoLoadFromFile(outputDir,fnameTag) ||
!fsrDETexact.autoLoadFromFile(outputDir,fnameTag) ||
!fsrDET_good.autoLoadFromFile(outputDir,fnameTag) ||
!fsrDETcorrections.autoLoadFromFile(outputDir,fnameTag)) {
std::cout << "loading failed\n";
return retCodeError;
}
}
for (unsigned int i=0; i<detRespV.size(); i++) detRespV[i]->autoLoadFromFile(outputDir,fnameTag);
}
UnfoldingMatrix_t detRespAvg(detResponse.kind, "detResponseAvg");
if (1 && detRespV.size()) { //computeAverage
const double weight=1/double(detRespV.size());
for (unsigned int i=0; i<detRespV.size(); ++i) {
TString name=Form("tmp_%d",i);
UnfoldingMatrix_t tmp(*detRespV[i],name);
tmp.squareDetMigrationErr();
detRespAvg.addMigration(tmp,weight);
}
detRespAvg.finalizeDetMigrationErr();
detRespAvg.computeResponseMatrix();
detRespAvg.invertResponseMatrix();
detRespAvg.prepareFIArrays();
detRespAvg.autoSaveToFile(outputDir,fnameTag,callingMacro); // detResponse, reference mc arrays
}
//--------------------------------------------------------------------------------------------------------------
// Make plots
//==============================================================================================================
/*
std::cout << "making plots" << std::endl;
TString unfoldingConstFileName, yieldsFileName;
detResponse.getFileNames(outputDir,fnameTag, unfoldingConstFileName, yieldsFileName);
TString unfoldingConstantsPlotFName=unfoldingConstFileName;
unfoldingConstantsPlotFName.Replace(unfoldingConstantsPlotFName.Index(".root"),
sizeof(".root"),
"_plots.root");
TFile *fPlots=new TFile(unfoldingConstantsPlotFName,"recreate");
if (!fPlots) {
std::cout << "failed to create a file <" << unfoldingConstantsPlotFName << ">\n";
}
#ifdef CrossSection_HH
if (1) { // study Ini and Fin vecs
std::vector<VXSectD_t*> dataV;
TString canvName="canvChk";
TString fewzTag=(useFewzWeights) ? "_withFEWZ" : "_noFEWZ";
if (useFewzWeights && regularizeFEWZ) fewzTag="_withMdfFEWZ";
canvName.Append(fewzTag);
const int twoPads=0;
TCanvas *c=new TCanvas(canvName,canvName,600*(1+twoPads),600);
if (twoPads) {
c->Divide(2,1);
c->GetPad(1)->SetLogx(1);
c->GetPad(2)->SetLogx(1);
c->GetPad(1)->SetLogy(1);
c->GetPad(2)->SetLogy(1);
}
else { c->SetLogx(1); c->SetLogy(1); }
int ok=1;
TH1F *hGenAvg=new TH1F("hGenAvg","hGenAvg",DYTools::nMassBins,DYTools::massBinLimits);
TH1F *hRecAvg=new TH1F("hRecAvg","hRecAvg",DYTools::nMassBins,DYTools::massBinLimits);
hGenAvg->SetDirectory(0);
hRecAvg->SetDirectory(0);
hGenAvg->Sumw2();
hRecAvg->Sumw2();
TH1F *hGenAvg_chk=NULL; //new TH1F("hGenAvg_chk","hGenAvg_chk",DYTools::nMassBins,DYTools::massBinLimits);
TH1F *hRecAvg_chk=NULL; //new TH1F("hRecAvg_chk","hRecAvg_chk",DYTools::nMassBins,DYTools::massBinLimits);
if (ok && hGenAvg_chk && hRecAvg_chk) {
hGenAvg_chk->SetDirectory(0);
hRecAvg_chk->SetDirectory(0);
VXSectD_t d("yields_repAvg",DYTools::nUnfoldingBinsMax);
TString matrixFName,yieldsFName;
detRespAvg.getFileNames(outputDir,fnameTag, matrixFName,yieldsFName);
ok=d.Load(matrixFName,"yieldsMcPostFsrGenFIArray","yieldsMcPostFsrRecFIArray","");
if (ok) ok= (d.FillHisto(hGenAvg_chk,1) && d.FillHistoWithError(hRecAvg_chk));
}
for (unsigned int i=0; ok && (i<detRespV.size()); ++i) {
TString name=Form("yields_rep%d",i);
VXSectD_t *d=new VXSectD_t(name,DYTools::nUnfoldingBinsMax);
dataV.push_back(d);
TString matrixFName,yieldsFName;
detRespV[i]->getFileNames(outputDir,fnameTag, matrixFName,yieldsFName);
ok=d->Load(matrixFName,"yieldsMcPostFsrGenFIArray","yieldsMcPostFsrRecFIArray","");
if (!ok) continue;
TString hGenName=Form("hGen_rep%d",i);
TString hRecName=Form("hRec_rep%d",i);
TH1F *hGen=new TH1F(hGenName,hGenName,DYTools::nMassBins,DYTools::massBinLimits);
TH1F *hRec=new TH1F(hRecName,hRecName,DYTools::nMassBins,DYTools::massBinLimits);
hGen->SetDirectory(0);
hRec->SetDirectory(0);
if (i==0) {
hGen->SetTitle(hGen->GetTitle() + fewzTag);
hRec->SetTitle(hRec->GetTitle() + fewzTag);
}
ok= (d->FillHisto(hGen,1) && d->FillHistoWithError(hRec));
if (!ok) continue;
hGenAvg->Add(hGen,1/double(detRespV.size()));
hRecAvg->Add(hRec,1/double(detRespV.size()));
TString opt="L";
if (i>0) opt.Append("same");
int color = i%(50-20) + 20;
hGen->SetLineColor(color);
hRec->SetLineColor(color);
hGen->GetYaxis()->SetRangeUser(5.,3.e6);
hRec->GetYaxis()->SetRangeUser(5.,3.e6);
if (twoPads) c->cd(1);
hGen->Draw(opt);
if (twoPads) c->cd(2);
else { if (i==0) opt.Append("same"); }
hRec->Draw(opt);
}
hGenAvg->SetLineColor(kAzure+1);
hRecAvg->SetLineColor(kRed+1);
if (twoPads) c->cd(1);
hGenAvg->Draw("L same");
if (hGenAvg_chk) hGenAvg_chk->Draw("L same");
if (twoPads) c->cd(2);
hRecAvg->Draw("L same");
if (hRecAvg_chk) hRecAvg_chk->Draw("L same");
c->Update();
return;
}
#endif
TCanvas *c = MakeCanvas("canvZmass1","canvZmass1",800,600);
// string buffers
char ylabel[50]; // y-axis label
//
// Draw DY candidate mass at the reconstruction level. Extra
// smearing is applied. This figure allows one to judge the
// correctness of the weights aplied to different samples from the
// smoothness of the combined result.
//
sprintf(ylabel,"a.u. / %.1f GeV/c^{2}",hZMassv[0]->GetBinWidth(1));
CPlot plotZMass1("zmass1","","m(ee) [GeV/c^{2}]",ylabel);
for(UInt_t i=0; i<fnamev.size(); i++) {
plotZMass1.AddHist1D(hZMassv[i],labelv[i],"hist",colorv[i],linev[i]);
}
plotZMass1.SetLogy();
plotZMass1.Draw(c);
SaveCanvas(c,"zmass1");
// plotZMass1.Draw(c,doSave,format);
// if (fPlots) { fPlots->cd(); c->Write(); }
//
// Draw a plot that illustrates the detector resolution effects.
// We plot (gen-rec)/gen as a function of mass and rapidity.
//
TMatrixD resolutionEffect(DYTools::nMassBins,DYTools::nYBinsMax);
resolutionEffect = 0;
for(int i=0; i < resolutionEffect.GetNrows(); i++){
for(int j=0; j < resolutionEffect.GetNcols(); j++){
double ngen = (*detResponse.yieldsIni)(i,j);
double nrec = (*detResponse.yieldsFin)(i,j);
if( ngen != 0 )
resolutionEffect(i,j) = (ngen-nrec)/ngen;
}
}
resolutionEffect.Print();
PlotMatrixVariousBinning(resolutionEffect, "resolution_effect", "LEGO2", NULL);
//
// Draw a plot that illustrates the losses due to reconstruction
// We plot (preFsrExact-preFsr)/preFsrExact as a
// function of mass and rapidity.
//
TMatrixD *unfRecoEffect=detResponseExact.getReconstructionEffect(detResponse);
unfRecoEffect->Print();
PlotMatrixVariousBinning(*unfRecoEffect, "reconstruction_effect", "LEGO2", NULL);
delete unfRecoEffect;
TMatrixD *unfFsrDETRecoEffect=fsrDETexact.getReconstructionEffect(fsrDET);
PlotMatrixVariousBinning(*unfFsrDETRecoEffect, "reconstruction_effect_fsrDET", "LEGO2", NULL);
delete unfFsrDETRecoEffect;
*/
// Plot response and inverted response matrices
//std::vector<TH2F*> hResponseV, hInvResponseV;
//std::vector<TCanvas*> canvV;
//std::vector<CPlot*> cpResponseV;
//TH2F *hR, *hIR;
//TCanvas *e2;
//CPlot *cpR, *cpIR;
detResponse.prepareHResponse();
fsrGood.prepareHResponse();
fsrExact.prepareHResponse();
fsrDET.prepareHResponse();
fsrDETexact.prepareHResponse();
fsrDET_good.prepareHResponse();
for (unsigned int iESc=0; iESc<detRespV.size(); ++iESc) {
detRespV[iESc]->prepareHResponse();
}
/*
// Create a plot of detector resolution without mass binning
TCanvas *g = MakeCanvas("canvMassDiff","canvMassDiff",600,600);
CPlot plotMassDiff("massDiff","","reco mass - gen post-FSR mass [GeV/c^{2}]","a.u.");
hMassDiffBB->Scale(1.0/hMassDiffBB->GetSumOfWeights());
hMassDiffEB->Scale(1.0/hMassDiffEB->GetSumOfWeights());
hMassDiffEE->Scale(1.0/hMassDiffEE->GetSumOfWeights());
plotMassDiff.AddHist1D(hMassDiffBB,"EB-EB","hist",kBlack);
plotMassDiff.AddHist1D(hMassDiffEB,"EE-EB","hist",kBlue);
plotMassDiff.AddHist1D(hMassDiffEE,"EE-EE","hist",kRed);
plotMassDiff.Draw(g);
SaveCanvas(g,"massDiff");
// if (fPlots) g->Write();
// Create a plot of reco - gen post-FSR mass and rapidity difference
TCanvas *h1 = MakeCanvas("canvMassDiffV","canvMassDiffV",600,600);
CPlot plotMassDiffV("massDiffV","",
"flat index",
"reco mass - gen post-FSR mass [GeV/c^{2}]");
plotMassDiffV.AddHist2D(hMassDiffV,"LEGO");
plotMassDiffV.Draw(h1);
SaveCanvas(h1,"hMassDiffV");
// Create a plot of reco - gen post-FSR mass and rapidity difference
TCanvas *h2 = MakeCanvas("canvYDiffV","canvYDiffV",600,600);
CPlot plotYDiffV("massDiffV","",
"flat index",
"reco Y - gen post-FSR Y");
plotYDiffV.AddHist2D(hYDiffV,"LEGO");
plotYDiffV.Draw(h2);
SaveCanvas(h2,"hYDiffV");
if (fPlots) {
fPlots->Close();
delete fPlots;
std::cout << "plots saved to a file <" << unfoldingConstantsPlotFName << ">\n";
}
//draw errors of Unfolding matrix
TCanvas *cErrorsResp = MakeCanvas("cErrorsResp","detResponse.DetInvertedResponseErr", 600,600);
detResponse.DetInvertedResponseErr->Draw("LEGO2");
cErrorsResp->Update();
SaveCanvas(cErrorsResp,"cErrorsResp");
TCanvas *cFsrErrorsResp = MakeCanvas("cErrorsFsr","fsr__.DetInvertedResponseErr", 1200, 600);
cFsrErrorsResp->Divide(2,1);
cFsrErrorsResp->cd(1);
fsrExact.DetInvertedResponseErr->Draw("LEGO2");
cFsrErrorsResp->cd(2);
fsrDET.DetInvertedResponseErr->Draw("LEGO2");
SaveCanvas(cFsrErrorsResp,"cErrorsFsr");
//--------------------------------------------------------------------------------------------------------------
// Summary print out
//==============================================================================================================
cout << endl;
cout << "*" << endl;
cout << "* SUMMARY" << endl;
cout << "*--------------------------------------------------" << endl;
cout << endl;
detResponse.printConditionNumber();
fsrExact.printConditionNumber();
fsrDET.printConditionNumber();
fsrDETexact.printConditionNumber();
if (0) {
//detResponse.printMatrices();
//fsr.printMatrices();
//fsrDET.printMatrices();
fsrDET_Mdf.printMatrices();
fsrDET_good.printMatrices();
}
//Print errors of the Unfolding matrix when they exceed 0.1
/
for (int iM=0; iM<DYTools::nMassBins; iM++)
for (int iY=0; iY<DYTools::nYBins[iM]; iY++)
for (int jM=0; jM<DYTools::nMassBins; jM++)
for (int jY=0; jY<DYTools::nYBins[jM]; jY++)
{
int i=DYTools::findIndexFlat(iM,iY);
int j=DYTools::findIndexFlat(jM,jY);
if (DetInvertedResponseErr(i,j)>0.1)
{
std::cout<<"DetInvertedResponseErr("<<i<<","<<j<<")="<<DetInvertedResponseErr(i,j);
std::cout<<", DetInvertedResponse("<<i<<","<<j<<")="<<DetInvertedResponse(i,j)<<std::endl;
std::cout<<"(iM="<<iM<<", iY="<<iY<<", jM="<<jM<<", jY="<<jY<<")"<<std::endl<<std::endl;
}
if (DetInvertedResponseErr2(i,j)>0.1)
{
std::cout<<"DetInvertedResponseErr2("<<i<<","<<j<<")="<<DetInvertedResponseErr2(i,j);
std::cout<<", DetInvertedResponse("<<i<<","<<j<<")="<<DetInvertedResponse(i,j)<<std::endl;
std::cout<<"(iM="<<iM<<", iY="<<iY<<", jM="<<jM<<", jY="<<jY<<")"<<std::endl<<std::endl;
}
}
/
/
if (0) {
// Printout of all constants, uncomment if needed
//printf("DetCorrFactor:\n"); DetCorrFactor.Print();
printf("DetMigration:\n"); DetMigration.Print();
printf("DetResponse:\n"); DetResponse.Print();
printf("DetInvertedResponse:\n"); DetInvertedResponse.Print();
//printf("DetInvertedResponseErr:\n"); DetInvertedResponseErr.Print();
//printf("DetResponseArr:\n"); DetResponseArr.Print();
//printf("DetInvertedResponseArr:\n"); DetInvertedResponseArr.Print();
//printf("DetInvertedResonseErrArr:\n"); DetInvertedResponseErrArr.Print();
// printf("Detector corr factor numerator:\n");
// DetCorrFactorNumerator.Print();
printf("yieldsMcPostFsrGen:\n");
yieldsMcPostFsrGen.Print();
printf("yieldsMcPostFsrRec:\n");
yieldsMcPostFsrRec.Print();
// printf("Detector corr factor denominator:\n");
// DetCorrFactorDenominator.Print();
// printf("yieldsMcPostFsrRecArr:\n");
// yieldsMcPostFsrRecArr.Print();
//printf("yieldsMcGen:\n");
//yieldsMcGen.Print();
}
/
if (0) {
detResponse.printYields();
fsrExact.printYields();
fsrDET.printYields();
}
*/
//gBenchmark->Show("makeUnfoldingMatrix");
ShowBenchmarkTime("makeUnfoldingMatrix");
return retCodeOk;
}
