DptfBuffer ActiveRelationshipTable::toArtBinary() const
{
esif_data_variant revisionField;
revisionField.integer.type = esif_data_type::ESIF_DATA_UINT64;
revisionField.integer.value = 1;
DptfBuffer packages;
UInt32 offset = 0;
for (auto entry = m_entries.begin(); entry != m_entries.end(); entry++)
{
auto artEntry = std::dynamic_pointer_cast<ActiveRelationshipTableEntry>(*entry);
if (artEntry)
{
UInt32 sourceScopeLength = (UInt32)(*entry)->getSourceDeviceScope().size();
UInt32 targetScopeLength = (UInt32)(*entry)->getTargetDeviceScope().size();
DptfBuffer packageBuffer;
packageBuffer.allocate(sizeof(EsifDataBinaryArtPackage) + sourceScopeLength + targetScopeLength);
EsifDataBinaryArtPackage entryPackage;
UInt32 dataAddress = 0;
// Source Scope
entryPackage.sourceDevice.string.length = sourceScopeLength;
entryPackage.sourceDevice.type = esif_data_type::ESIF_DATA_STRING;
packageBuffer.put(dataAddress, (UInt8*)(&(entryPackage.sourceDevice)), sizeof(entryPackage.sourceDevice));
dataAddress += sizeof(entryPackage.sourceDevice);
packageBuffer.put(dataAddress, (UInt8*)((*entry)->getSourceDeviceScope().c_str()), sourceScopeLength);
dataAddress += sourceScopeLength;
// Target Scope
entryPackage.targetDevice.string.length = targetScopeLength;
entryPackage.targetDevice.type = esif_data_type::ESIF_DATA_STRING;
packageBuffer.put(dataAddress, (UInt8*)(&(entryPackage.targetDevice)), sizeof(entryPackage.targetDevice));
dataAddress += sizeof(entryPackage.targetDevice);
packageBuffer.put(dataAddress, (UInt8*)((*entry)->getTargetDeviceScope().c_str()), targetScopeLength);
dataAddress += targetScopeLength;
// Weight
entryPackage.weight.integer.type = esif_data_type::ESIF_DATA_UINT64;
entryPackage.weight.integer.value = artEntry->getWeight();
packageBuffer.put(dataAddress, (UInt8*)(&(entryPackage.weight)), sizeof(entryPackage.weight));
dataAddress += sizeof(entryPackage.weight);
// AC0
entryPackage.ac0MaxFanSpeed.integer.type = esif_data_type::ESIF_DATA_UINT64;
entryPackage.ac0MaxFanSpeed.integer.value = artEntry->ac(0);
packageBuffer.put(dataAddress, (UInt8*)(&(entryPackage.ac0MaxFanSpeed)), sizeof(entryPackage.ac0MaxFanSpeed));
dataAddress += sizeof(entryPackage.ac0MaxFanSpeed);
// AC1
entryPackage.ac1MaxFanSpeed.integer.type = esif_data_type::ESIF_DATA_UINT64;
entryPackage.ac1MaxFanSpeed.integer.value = artEntry->ac(1);
packageBuffer.put(dataAddress, (UInt8*)(&(entryPackage.ac1MaxFanSpeed)), sizeof(entryPackage.ac1MaxFanSpeed));
dataAddress += sizeof(entryPackage.ac1MaxFanSpeed);
// AC2
entryPackage.ac2MaxFanSpeed.integer.type = esif_data_type::ESIF_DATA_UINT64;
entryPackage.ac2MaxFanSpeed.integer.value = artEntry->ac(2);
packageBuffer.put(dataAddress, (UInt8*)(&(entryPackage.ac2MaxFanSpeed)), sizeof(entryPackage.ac2MaxFanSpeed));
dataAddress += sizeof(entryPackage.ac2MaxFanSpeed);
// AC3
entryPackage.ac3MaxFanSpeed.integer.type = esif_data_type::ESIF_DATA_UINT64;
entryPackage.ac3MaxFanSpeed.integer.value = artEntry->ac(3);
packageBuffer.put(dataAddress, (UInt8*)(&(entryPackage.ac3MaxFanSpeed)), sizeof(entryPackage.ac3MaxFanSpeed));
dataAddress += sizeof(entryPackage.ac3MaxFanSpeed);
// AC4
entryPackage.ac4MaxFanSpeed.integer.type = esif_data_type::ESIF_DATA_UINT64;
entryPackage.ac4MaxFanSpeed.integer.value = artEntry->ac(4);
packageBuffer.put(dataAddress, (UInt8*)(&(entryPackage.ac4MaxFanSpeed)), sizeof(entryPackage.ac4MaxFanSpeed));
dataAddress += sizeof(entryPackage.ac4MaxFanSpeed);
// AC5
entryPackage.ac5MaxFanSpeed.integer.type = esif_data_type::ESIF_DATA_UINT64;
entryPackage.ac5MaxFanSpeed.integer.value = artEntry->ac(5);
packageBuffer.put(dataAddress, (UInt8*)(&(entryPackage.ac5MaxFanSpeed)), sizeof(entryPackage.ac5MaxFanSpeed));
dataAddress += sizeof(entryPackage.ac5MaxFanSpeed);
// AC6
entryPackage.ac6MaxFanSpeed.integer.type = esif_data_type::ESIF_DATA_UINT64;
entryPackage.ac6MaxFanSpeed.integer.value = artEntry->ac(6);
packageBuffer.put(dataAddress, (UInt8*)(&(entryPackage.ac6MaxFanSpeed)), sizeof(entryPackage.ac6MaxFanSpeed));
dataAddress += sizeof(entryPackage.ac6MaxFanSpeed);
// AC7
entryPackage.ac7MaxFanSpeed.integer.type = esif_data_type::ESIF_DATA_UINT64;
entryPackage.ac7MaxFanSpeed.integer.value = artEntry->ac(7);
packageBuffer.put(dataAddress, (UInt8*)(&(entryPackage.ac7MaxFanSpeed)), sizeof(entryPackage.ac7MaxFanSpeed));
dataAddress += sizeof(entryPackage.ac7MaxFanSpeed);
// AC8
entryPackage.ac8MaxFanSpeed.integer.type = esif_data_type::ESIF_DATA_UINT64;
entryPackage.ac8MaxFanSpeed.integer.value = artEntry->ac(8);
packageBuffer.put(dataAddress, (UInt8*)(&(entryPackage.ac8MaxFanSpeed)), sizeof(entryPackage.ac8MaxFanSpeed));
dataAddress += sizeof(entryPackage.ac8MaxFanSpeed);
// AC9
entryPackage.ac9MaxFanSpeed.integer.type = esif_data_type::ESIF_DATA_UINT64;
entryPackage.ac9MaxFanSpeed.integer.value = artEntry->ac(9);
packageBuffer.put(dataAddress, (UInt8*)(&(entryPackage.ac9MaxFanSpeed)), sizeof(entryPackage.ac9MaxFanSpeed));
dataAddress += sizeof(entryPackage.ac9MaxFanSpeed);
packages.put(offset, packageBuffer.get(), packageBuffer.size());
offset += packageBuffer.size();
}
}
UInt32 sizeOfRevision = (UInt32)sizeof(revisionField);
DptfBuffer buffer(sizeOfRevision + packages.size());
buffer.put(0, (UInt8*)&revisionField, sizeOfRevision);
buffer.put(sizeOfRevision, packages.get(), packages.size());
return buffer;
}
void readData(char* szInputFile, t_Data *ptData)
{
FILE *ifp = NULL;
char szLine[MAX_LINE_LENGTH];
int nPos = 0, i = 0, j = 0, nM = 0, nSequences = 0;
char *szBrk;
char *szRet;
/*first count sequences and get length*/
ptData->nSeq = 0;
ptData->nMaxLen = 0;
ifp = fopen(szInputFile, "r");
if(ifp){
while(fgets(szLine, MAX_LINE_LENGTH, ifp)){
if(szLine[0] == '>'){
if(nPos > ptData->nMaxLen){
ptData->nMaxLen = nPos;
}
ptData->nSeq++;
nPos = 0;
}
else{
i = 0;
while(strrchr(szSequence,szLine[i]) != NULL){
i++;
nPos++;
}
}
}
fclose(ifp);
}
else{
fprintf(stderr, "Can't open input file %s\n", szInputFile);
exit(EXIT_FAILURE);
}
if(nPos > ptData->nMaxLen){
ptData->nMaxLen = nPos;
}
ptData->aszID = (char **) malloc(ptData->nSeq*sizeof(char *));
nM = ptData->nMaxLen;
ptData->anSort = (int *) malloc(ptData->nSeq*sizeof(int));
ptData->acSequences = (char *) malloc(ptData->nSeq*nM*sizeof(char));
ptData->anLen = (int *) malloc(ptData->nSeq*sizeof(int));
ptData->anFreq = (int *) malloc(ptData->nSeq*sizeof(int));
ifp = fopen(szInputFile, "r");
if(ifp){
while(szRet = fgets(szLine, MAX_LINE_LENGTH, ifp)){
if(szLine[0] == '>'){
if(nSequences > 0){
ptData->anLen[nSequences - 1] = nPos;
}
szBrk = strpbrk(szLine, " \n");
(*szBrk) = '\0';
ptData->aszID[nSequences] = strdup(szLine + 1);
ptData->anFreq[nSequences] = getWeight(ptData->aszID[nSequences]);
nPos = 0;
nSequences++;
}
i = 0;
while(szLine[i] != '\0' && strrchr(szSequence,szLine[i]) != NULL){
ptData->acSequences[(nSequences - 1)*nM + nPos] = toupper(szLine[i]);
nPos++; i++;
}
}
ptData->anLen[nSequences - 1] = nPos;
fclose(ifp);
}
else{
fprintf(stderr, "Can't open input file %s\n", szInputFile);
exit(EXIT_FAILURE);
}
}
int Item::getMinStrength() const {
return 10 + getWeight();
}
void trainOneEpochDenseCPU(int itask, float *data, float *numerator,
float *denominator, float *codebook,
unsigned int nSomX, unsigned int nSomY,
unsigned int nDimensions, unsigned int nVectors,
unsigned int nVectorsPerRank, float radius,
float scale, string mapType, string gridType,
bool compact_support, bool gaussian, int *globalBmus) {
unsigned int p1[2] = {0, 0};
unsigned int *bmus = new unsigned int[nVectorsPerRank * 2];
#ifdef _OPENMP
#pragma omp parallel default(shared) private(p1)
#endif
{
#ifdef _OPENMP
#pragma omp for
#endif
#ifdef _WIN32
for (int n = 0; n < nVectorsPerRank; n++) {
#else
for (unsigned int n = 0; n < nVectorsPerRank; n++) {
#endif
if (itask * nVectorsPerRank + n < nVectors) {
/// get the best matching unit
get_bmu_coord(codebook, data, nSomY, nSomX,
nDimensions, p1, n);
bmus[2 * n] = p1[0];
bmus[2 * n + 1] = p1[1];
}
}
}
float *localNumerator = new float[nSomY * nSomX * nDimensions];
float *localDenominator = new float[nSomY * nSomX];
#ifdef _OPENMP
#pragma omp parallel default(shared)
#endif
{
#ifdef _OPENMP
#pragma omp for
#endif
#ifdef _WIN32
for (int som_y = 0; som_y < nSomY; som_y++) {
#else
for (unsigned int som_y = 0; som_y < nSomY; som_y++) {
#endif
for (unsigned int som_x = 0; som_x < nSomX; som_x++) {
localDenominator[som_y * nSomX + som_x] = 0.0;
for (unsigned int d = 0; d < nDimensions; d++)
localNumerator[som_y * nSomX * nDimensions + som_x * nDimensions + d] = 0.0;
}
}
/// Accumulate denoms and numers
#ifdef _OPENMP
#pragma omp for
#endif
#ifdef _WIN32
for (int som_y = 0; som_y < nSomY; som_y++) {
#else
for (unsigned int som_y = 0; som_y < nSomY; som_y++) {
#endif
for (unsigned int som_x = 0; som_x < nSomX; som_x++) {
for (unsigned int n = 0; n < nVectorsPerRank; n++) {
if (itask * nVectorsPerRank + n < nVectors) {
float dist = 0.0f;
if (gridType == "rectangular") {
if (mapType == "planar") {
dist = euclideanDistanceOnPlanarMap(som_x, som_y, bmus[2 * n], bmus[2 * n + 1]);
}
else if (mapType == "toroid") {
dist = euclideanDistanceOnToroidMap(som_x, som_y, bmus[2 * n], bmus[2 * n + 1], nSomX, nSomY);
}
}
else {
if (mapType == "planar") {
dist = euclideanDistanceOnHexagonalPlanarMap(som_x, som_y, bmus[2 * n], bmus[2 * n + 1]);
}
else if (mapType == "toroid") {
dist = euclideanDistanceOnHexagonalToroidMap(som_x, som_y, bmus[2 * n], bmus[2 * n + 1], nSomX, nSomY);
}
}
float neighbor_fuct = getWeight(dist, radius, scale, compact_support, gaussian);
for (unsigned int d = 0; d < nDimensions; d++) {
localNumerator[som_y * nSomX * nDimensions + som_x * nDimensions + d] +=
1.0f * neighbor_fuct
* (*(data + n * nDimensions + d));
}
localDenominator[som_y * nSomX + som_x] += neighbor_fuct;
}
}
}
}
}
#ifdef HAVE_MPI
MPI_Reduce(localNumerator, numerator,
nSomY * nSomX * nDimensions, MPI_FLOAT, MPI_SUM, 0, MPI_COMM_WORLD);
MPI_Reduce(localDenominator, denominator,
nSomY * nSomX, MPI_FLOAT, MPI_SUM, 0, MPI_COMM_WORLD);
MPI_Gather(bmus, nVectorsPerRank * 2, MPI_INT, globalBmus, nVectorsPerRank * 2, MPI_INT, 0, MPI_COMM_WORLD);
#else
for (unsigned int i = 0; i < nSomY * nSomX * nDimensions; ++i) {
numerator[i] = localNumerator[i];
}
for (unsigned int i = 0; i < nSomY * nSomX; ++i) {
denominator[i] = localDenominator[i];
}
for (unsigned int i = 0; i < 2 * nVectorsPerRank; ++i) {
globalBmus[i] = bmus[i];
}
#endif
delete [] bmus;
delete [] localNumerator;
delete [] localDenominator;
}
int main (int argc, char *argv[])
{
printBoxedMessage("Starting plot generation");
// ####################
// ## Init tools ##
// ####################
string signalCategory = "T2tt";
// Create a sonic Screwdriver
SonicScrewdriver screwdriver;
// ##########################
// ## Create Variables ##
// ##########################
screwdriver.AddVariable("METoverSqrtHT", "MET / #sqrt{H_{T}}", "", 32,0,32, &(myEvent.METoverSqrtHT), "");
screwdriver.AddVariable("MET", "MET", "GeV", 15,50,500, &(myEvent.MET), "logY=true");
screwdriver.AddVariable("MT", "MT", "GeV", 20,0,400, &(myEvent.MT), "logY=true");
screwdriver.AddVariable("MT2W", "M_{T2}^{W}", "GeV", 20,0,500, &(myEvent.MT2W), "");
screwdriver.AddVariable("deltaPhiMETJets","#Delta#Phi(MET,j_{1,2})", "rad", 16,0,3.2, &(myEvent.deltaPhiMETJets), "");
screwdriver.AddVariable("HadronicChi2", "Hadronic #chi^{2}", "", 40,0,20, &(myEvent.hadronicChi2), "");
screwdriver.AddVariable("mStop", "m_{#tilde{t}}", "GeV", 28,112.5,812.5, &(myEvent.mStop), "");
screwdriver.AddVariable("mNeutralino", "m_{#chi^{0}}", "GeV", 16,-12.5,387.5, &(myEvent.mNeutralino), "noOverflowInLastBin");
// #########################################################
// ## Create ProcessClasses (and associated datasets) ##
// #########################################################
screwdriver.AddProcessClass("1ltop", "1l top", "background",kRed-7);
#ifdef USING_TTBAR_POWHEG
screwdriver.AddDataset("ttbar_powheg", "1ltop", 0, 0);
#endif
#ifdef USING_TTBAR_MADGRAPH
screwdriver.AddDataset("ttbar_madgraph_1l", "1ltop", 0, 0);
#endif
screwdriver.AddDataset("singleTop_st", "1ltop", 0, 0);
screwdriver.AddProcessClass("ttbar_2l", "t#bar{t} #rightarrow l^{+}l^{-}", "background",kCyan-3);
#ifdef USING_TTBAR_MADGRAPH
screwdriver.AddDataset("ttbar_madgraph_2l", "ttbar_2l", 0, 0);
#endif
screwdriver.AddProcessClass("W+jets", "W+jets", "background", kOrange-2);
screwdriver.AddDataset("W+jets", "W+jets", 0, 0);
screwdriver.AddProcessClass("rare", "rare", "background", kMagenta-5);
screwdriver.AddDataset("rare", "rare", 0, 0);
screwdriver.AddProcessClass(signalCategory, signalCategory, "signal", kViolet-1);
screwdriver.AddDataset(signalCategory, signalCategory, 0, 0);
screwdriver.AddProcessClass("signal_250_100", signalCategory+" (250/100)", "signal",COLORPLOT_BLUE );
screwdriver.AddProcessClass("signal_450_100", signalCategory+" (450/100)", "signal",COLORPLOT_GREEN2 );
screwdriver.AddProcessClass("signal_650_100", signalCategory+" (650/100)", "signal",COLORPLOT_GREEN );
// ##########################
// ## Create Regions ##
// ##########################
screwdriver.AddRegion("presel", "Preselection", &goesInPreselectionMTtail);
screwdriver.AddRegion("offShell_Loose", "Cut&Count;Off-shell Loose", &Selector_cutAndCount_offShellLoose);
screwdriver.AddRegion("offShell_Tight", "Cut&Count;Off-shell tight", &Selector_cutAndCount_offShellTight);
screwdriver.AddRegion("lowDM", "Cut&Count;Low #DeltaM", &Selector_cutAndCount_lowDeltaM );
screwdriver.AddRegion("mediumDM", "Cut&Count;Medium #DeltaM", &Selector_cutAndCount_mediumDeltaM );
screwdriver.AddRegion("highDM", "Cut&Count;High #DeltaM", &Selector_cutAndCount_highDeltaM );
// ##########################
// ## Create Channels ##
// ##########################
screwdriver.AddChannel("singleLepton", "e/#mu-channels", &goesInSingleLeptonChannel);
// ########################################
// ## Create histograms and ##
// ## schedule type of plots to produce ##
// ########################################
screwdriver.SetLumi(20000);
// Create histograms
screwdriver.Create1DHistos();
screwdriver.Add2DHisto("mStop","mNeutralino");
screwdriver.SetGlobalBoolOption ("1DSuperimposed", "includeSignal", true );
screwdriver.SetGlobalStringOption("1DStack", "includeSignal", "stack");
screwdriver.SetGlobalFloatOption ("1DStack", "factorSignal", 1.0 );
screwdriver.SetGlobalStringOption("DataMCComparison", "includeSignal", "stack");
screwdriver.SetGlobalFloatOption ("DataMCComparison", "factorSignal", 1.0 );
// Schedule plots
screwdriver.SchedulePlots("1DSuperimposed");
screwdriver.SchedulePlots("1DStack");
screwdriver.SchedulePlots("2D");
screwdriver.SchedulePlots("2DSuperimposed");
// Config plots
screwdriver.SetGlobalStringOption("Plot", "infoTopRight", "CMS Internal");
screwdriver.SetGlobalStringOption("Plot", "infoTopLeft", "#sqrt{s} = 8 TeV, L = 20 fb^{-1}");
screwdriver.SetGlobalBoolOption("Plot", "exportPdf", true);
screwdriver.SetGlobalBoolOption("Plot", "exportEps", false);
screwdriver.SetGlobalBoolOption("Plot", "exportPng", false);
// ########################################
// ## Run over the datasets ##
// ########################################
vector<string> datasetsList;
screwdriver.GetDatasetList(&datasetsList);
cout << " > Reading datasets... " << endl;
cout << endl;
for (unsigned int d = 0 ; d < datasetsList.size() ; d++)
{
string currentDataset = datasetsList[d];
string currentProcessClass = screwdriver.GetProcessClass(currentDataset);
// Open the tree
TFile f((string(FOLDER_BABYTUPLES)+currentDataset+".root").c_str());
TTree* theTree = (TTree*) f.Get("babyTuple");
intermediatePointers pointers;
InitializeBranchesForReading(theTree,&myEvent,&pointers);
sampleName = currentDataset;
sampleType = screwdriver.GetProcessClassType(currentProcessClass);
if (currentDataset == signalCategory)
{
theTree->SetBranchAddress("mStop", &(myEvent.mStop));
theTree->SetBranchAddress("mNeutralino", &(myEvent.mNeutralino));
}
else
{
myEvent.mStop = -1;
myEvent.mNeutralino = -1;
}
// ########################################
// ## Run over the events ##
// ########################################
int nEntries = theTree->GetEntries();
for (int i = 0 ; i < nEntries ; i++)
//for (int i = 0 ; i < min(200000, (int) theTree->GetEntries()); i++)
{
if (i % (theTree->GetEntries() / 50) == 0)
printProgressBar(i,nEntries,currentDataset);
// Get the i-th entry
ReadEvent(theTree,i,&pointers,&myEvent);
// Split 1-lepton ttbar and 2-lepton ttbar
string currentProcessClass_ = currentProcessClass;
if ((currentDataset == "ttbar_powheg") && (myEvent.numberOfGenLepton == 2))
currentProcessClass_ = "ttbar_2l";
screwdriver.AutoFillProcessClass(currentProcessClass_,getWeight());
if ((myEvent.mStop == 250) && (myEvent.mNeutralino == 100))
screwdriver.AutoFillProcessClass("signal_250_100",getWeight());
if ((myEvent.mStop == 450) && (myEvent.mNeutralino == 100))
screwdriver.AutoFillProcessClass("signal_450_100",getWeight());
if ((myEvent.mStop == 650) && (myEvent.mNeutralino == 100))
screwdriver.AutoFillProcessClass("signal_650_100",getWeight());
}
printProgressBar(nEntries,nEntries,currentDataset);
cout << endl;
f.Close();
}
// ###################################
// ## Make plots and write them ##
// ###################################
cout << endl;
cout << " > Making plots..." << endl;
screwdriver.MakePlots();
cout << " > Saving plots..." << endl;
screwdriver.WritePlots("../plots/cutAndCount_performances/"+signalCategory+"/");
printBoxedMessage("Plot generation completed");
// #############################
// ## Post-plotting tests ##
// #############################
printBoxedMessage("Now computing misc tests ... ");
vector<string> cutAndCountRegions =
{
"offShell_Loose",
"offShell_Tight",
"lowDM",
"mediumDM",
"highDM"
};
TableBackgroundSignal(&screwdriver,cutAndCountRegions,"singleLepton").Print();
TableBackgroundSignal(&screwdriver,cutAndCountRegions,"singleLepton").PrintLatex();
// ##########################
// ## Compute FOM maps ##
// ##########################
float SF_1ltop = 5;
vector<float> globalBackgroundUncertainty =
{
0.17,
0.21,
0.22,
0.37,
0.37
};
vector<TH2F*> signalMaps;
vector<TH2F*> FOMdiscoveryMaps;
vector<TH2F*> FOMexclusionMaps;
vector<TH2F*> efficiencies;
int nBinsX = -1;
int nBinsY = -1;
TH2F* signalMapPresel = screwdriver.get2DHistoClone("mStop","mNeutralino",signalCategory,"presel","singleLepton");
TH2F* backgroundPresel = screwdriver.get2DCompositeHistoClone("mStop","mNeutralino","2DSumBackground","presel","singleLepton","");
if (nBinsX == -1) nBinsX = signalMapPresel->GetNbinsX();
if (nBinsY == -1) nBinsY = signalMapPresel->GetNbinsY();
// Store background eff in (mStop,mLSP) = (200,300)
int backgroundBin = signalMapPresel->FindBin(200,300);
float backgroundYieldPresel = backgroundPresel->Integral(0,nBinsX+1,0,nBinsY+1);
for (unsigned int i = 0 ; i < cutAndCountRegions.size() ; i++)
{
signalMaps.push_back(screwdriver.get2DHistoClone("mStop","mNeutralino",signalCategory,cutAndCountRegions[i],"singleLepton"));
signalMaps[i]->SetName((string("signalMap_")+cutAndCountRegions[i]).c_str());
float B = screwdriver.GetYieldAndError("1ltop", cutAndCountRegions[i],"singleLepton").value() //* SF_1ltop
+ screwdriver.GetYieldAndError("ttbar_2l", cutAndCountRegions[i],"singleLepton").value()
+ screwdriver.GetYieldAndError("W+jets", cutAndCountRegions[i],"singleLepton").value()
+ screwdriver.GetYieldAndError("rare", cutAndCountRegions[i],"singleLepton").value();
// Apply scale factor from background prediction
//float f_B = globalBackgroundUncertainty[i];
float f_B = 0.15;
if (B < 1.0) B = 1.0;
efficiencies.push_back((TH2F*) signalMaps[i]->Clone());
efficiencies[i]->SetName((string("eff_")+cutAndCountRegions[i]).c_str());
efficiencies[i]->Divide(signalMapPresel);
efficiencies[i]->SetBinContent(backgroundBin,B/backgroundYieldPresel);
FOMdiscoveryMaps.push_back((TH2F*) signalMaps[i]->Clone());
FOMdiscoveryMaps[i]->SetName((string("FOMdisco_")+cutAndCountRegions[i]).c_str());
FOMexclusionMaps.push_back((TH2F*) signalMaps[i]->Clone());
FOMexclusionMaps[i]->SetName((string("FOMexclu_")+cutAndCountRegions[i]).c_str());
for (int x = 1 ; x <= nBinsX ; x++)
for (int y = 1 ; y <= nBinsY ; y++)
{
float S = signalMaps[i]->GetBinContent(x,y);
float FOMdiscovery = figureOfMerit(S,B,"discovery",false,f_B);
FOMdiscoveryMaps[i]->SetBinContent(x,y,FOMdiscovery);
float FOMexclusion = figureOfMerit(S,B,"exclusion",false,f_B);
FOMexclusionMaps[i]->SetBinContent(x,y,FOMexclusion);
}
}
// ################################
// ## Compute "best" FOM map ##
// ################################
TH2F* bestDiscoFOMMap = (TH2F*) signalMaps[0]->Clone(); bestDiscoFOMMap->SetName("bestDiscoFOM");
TH2F* bestDiscoSetMap = (TH2F*) signalMaps[0]->Clone(); bestDiscoSetMap->SetName("bestDiscoSet");
TH2F* bestDiscoSigEff = (TH2F*) signalMaps[0]->Clone(); bestDiscoSigEff->SetName("bestDiscoSigEff");
TH2F* bestDiscoBkgEff = (TH2F*) signalMaps[0]->Clone(); bestDiscoBkgEff->SetName("bestDiscoBkgEff");
TH2F* bestExcluFOMMap = (TH2F*) signalMaps[0]->Clone(); bestExcluFOMMap->SetName("bestExcluFOM");
TH2F* bestExcluSetMap = (TH2F*) signalMaps[0]->Clone(); bestExcluSetMap->SetName("bestExcluSet");
TH2F* bestExcluSigEff = (TH2F*) signalMaps[0]->Clone(); bestExcluSigEff->SetName("bestExcluSigEff");
TH2F* bestExcluBkgEff = (TH2F*) signalMaps[0]->Clone(); bestExcluBkgEff->SetName("bestExcluBkgEff");
for (int x = 1 ; x <= nBinsX ; x++)
for (int y = 1 ; y <= nBinsY ; y++)
{
float bestDiscoFOM = -1.0;
int bestDiscoSet = 0;
float bestDiscoSigEff_ = -1.0;
float bestDiscoBkgEff_ = -1.0;
for (unsigned int i = 0 ; i < cutAndCountRegions.size() ; i++)
{
float DiscoFOM = FOMdiscoveryMaps[i]->GetBinContent(x,y);
if (bestDiscoFOM < DiscoFOM)
{
bestDiscoFOM = DiscoFOM;
if (bestDiscoFOM > 0) bestDiscoSet = i+1;
bestDiscoSigEff_ = efficiencies[i]->GetBinContent(x,y);
bestDiscoBkgEff_ = efficiencies[i]->GetBinContent(backgroundBin);
}
}
bestDiscoFOMMap->SetBinContent(x,y,bestDiscoFOM);
bestDiscoSetMap->SetBinContent(x,y,bestDiscoSet);
bestDiscoSigEff->SetBinContent(x,y,bestDiscoSigEff_);
bestDiscoBkgEff->SetBinContent(x,y,bestDiscoBkgEff_);
float bestExcluFOM = -1.0;
int bestExcluSet = 0;
float bestExcluSigEff_ = -1.0;
float bestExcluBkgEff_ = -1.0;
for (unsigned int i = 0 ; i < cutAndCountRegions.size() ; i++)
{
float ExcluFOM = FOMexclusionMaps[i]->GetBinContent(x,y);
if (bestExcluFOM < ExcluFOM)
{
bestExcluFOM = ExcluFOM;
if (bestExcluFOM > 0) bestExcluSet = i+1;
bestExcluSigEff_ = efficiencies[i]->GetBinContent(x,y);
bestExcluBkgEff_ = efficiencies[i]->GetBinContent(backgroundBin);
}
}
bestExcluFOMMap->SetBinContent(x,y,bestExcluFOM);
bestExcluSetMap->SetBinContent(x,y,bestExcluSet);
bestExcluSigEff->SetBinContent(x,y,bestExcluSigEff_);
bestExcluBkgEff->SetBinContent(x,y,bestExcluBkgEff_);
}
// #########################
// ## Save those maps ##
// #########################
float lineOffset = 0.0;
string label;
if (signalCategory == "T2tt" ) { lineOffset = 172; label = "T2tt;"; }
if (signalCategory == "T2bw-025") { lineOffset = 320; label = "T2bw (x = 0.25);"; }
if (signalCategory == "T2bw-050") { lineOffset = 160; label = "T2bw (x = 0.50);"; }
if (signalCategory == "T2bw-075") { lineOffset = 105; label = "T2bw (x = 0.75);"; }
TFile fOutput(("../plots/cutAndCount_performances/"+signalCategory+"/custom.root").c_str(),"RECREATE");
string pathExport = "../plots/cutAndCount_performances/"+signalCategory+"/";
gStyle->SetPaintTextFormat("4.0f");
formatAndWriteMapPlot(&screwdriver,bestDiscoSetMap,bestDiscoSetMap->GetName(),label+"Best set of cuts;(for discovery)",pathExport,lineOffset);
formatAndWriteMapPlot(&screwdriver,bestExcluSetMap,bestExcluSetMap->GetName(),label+"Best set of cuts;(for exclusion)",pathExport,lineOffset);
gStyle->SetPaintTextFormat("4.1f");
for (unsigned int i = 0 ; i < cutAndCountRegions.size() ; i++)
{
FOMdiscoveryMaps[i]->SetMaximum(5.0);
formatAndWriteMapPlot(&screwdriver,FOMdiscoveryMaps[i],FOMdiscoveryMaps[i]->GetName(),string("Discovery FOM for ")+cutAndCountRegions[i], pathExport,lineOffset);
formatAndWriteMapPlot(&screwdriver, efficiencies[i], efficiencies[i]->GetName(),string("Efficiencies for " )+cutAndCountRegions[i], pathExport,lineOffset);
}
bestDiscoFOMMap->SetMaximum(5.0);
bestExcluFOMMap->SetMaximum(5.0);
formatAndWriteMapPlot(&screwdriver,bestDiscoFOMMap,bestDiscoFOMMap->GetName(),label+"Best FOM;(for discovery)" ,pathExport,lineOffset);
formatAndWriteMapPlot(&screwdriver,bestDiscoSigEff,bestDiscoSigEff->GetName(),label+"Best signal efficiency;(for discovery)",pathExport,lineOffset);
formatAndWriteMapPlot(&screwdriver,bestDiscoBkgEff,bestDiscoBkgEff->GetName(),label+"Best backgr efficiency;(for discovery)",pathExport,lineOffset);
formatAndWriteMapPlot(&screwdriver,bestExcluFOMMap,bestExcluFOMMap->GetName(),label+"Best FOM;(for exclusion)" ,pathExport,lineOffset);
formatAndWriteMapPlot(&screwdriver,bestExcluSigEff,bestExcluSigEff->GetName(),label+"Best signal efficiency;(for exclusion)",pathExport,lineOffset);
formatAndWriteMapPlot(&screwdriver,bestExcluBkgEff,bestExcluBkgEff->GetName(),label+"Best backgr efficiency;(for exclusion)",pathExport,lineOffset);
fOutput.Close();
printBoxedMessage("Program done.");
return (0);
}
WL getWL() const {
return WL(getOrigLit(), getWeight());
}
double OvernightPackage::calculateCost()
{
return (getWeight() * (getCostPerOunce() + feePerOunce));
}
inline miniEdge toMiniEdge() {
miniEdge me(hs1, hs2, st1, st2, inter, getWeight());
return me;
}
//---------------------------------------------------------------------------------
// works but is SLOW!! WHY??
float NiceGraph::avgShortestPathofGraph_BFS()
{
// This approach based on a breadth first search --> better for undirected graphs?
int size = vertexList.size();
unsigned long int distance[size][size];
// initialize all values
for (int q = 0; q < size; q++)
{
for (int r = 0; r < size; r++)
{
distance[q][r] = INT_MAX; // set distance to infinity if not connected directly
}
}
for (int q =0; q < size; q++)
{
vector<bool> visited (size, false); // initialize all visited values to true so far
visited[q] = true; // has already visited self
distance[q][q] = 0; // distance to self is always zero
queue<int> Q;
Q.push(q);
do {
visited[Q.front()] = true;
vector<int> temp = getOutNeighborList(Q.front());
if (!temp.empty())
{
for (unsigned int t = 0; t < temp.size(); t++)
{
distance[Q.front()][temp[t]] = getWeight(Q.front(),temp[t]);
if (!visited[temp[t]])
Q.push(temp[t]);
unsigned int newPath = distance[q][Q.front()] + distance[Q.front()][temp[t]];
if (newPath < distance[q][temp[t]]) {
distance[q][temp[t]] = newPath;
}
}
}
Q.pop(); // pop off the neighbor just examined
} while (!Q.empty());
}
// now compute averages using distance matrix
long double sum = 0;
for (int m = 0; m < size; m++) {
for (int n = 0; n < size; n++) {
sum += distance[m][n];
}
}
float value = (sum / (size * (size - 1)));
if (value >= getNumVertices()) // the case where the graph is disconnected
value=-1;
return value ; // return the average over all values not including distance to self
}
/*
* prim最小生成树
*
* 参数说明：
* G -- 邻接表图
* start -- 从图中的第start个元素开始，生成最小树
*/
void prim(LGraph G, int start)
{
int min,i,j,k,m,n,tmp,sum;
int index=0; // prim最小树的索引，即prims数组的索引
char prims[MAX]; // prim最小树的结果数组
int weights[MAX]; // 顶点间边的权值
// prim最小生成树中第一个数是"图中第start个顶点"，因为是从start开始的。
prims[index++] = G.vexs[start].data;
// 初始化"顶点的权值数组"，
// 将每个顶点的权值初始化为"第start个顶点"到"该顶点"的权值。
for (i = 0; i < G.vexnum; i++ )
weights[i] = getWeight(G, start, i);
for (i = 0; i < G.vexnum; i++)
{
// 由于从start开始的，因此不需要再对第start个顶点进行处理。
if(start == i)
continue;
j = 0;
k = 0;
min = INF;
// 在未被加入到最小生成树的顶点中，找出权值最小的顶点。
while (j < G.vexnum)
{
// 若weights[j]=0，意味着"第j个节点已经被排序过"(或者说已经加入了最小生成树中)。
if (weights[j] != 0 && weights[j] < min)
{
min = weights[j];
k = j;
}
j++;
}
// 经过上面的处理后，在未被加入到最小生成树的顶点中，权值最小的顶点是第k个顶点。
// 将第k个顶点加入到最小生成树的结果数组中
prims[index++] = G.vexs[k].data;
// 将"第k个顶点的权值"标记为0，意味着第k个顶点已经排序过了(或者说已经加入了最小树结果中)。
weights[k] = 0;
// 当第k个顶点被加入到最小生成树的结果数组中之后，更新其它顶点的权值。
for (j = 0 ; j < G.vexnum; j++)
{
// 获取第k个顶点到第j个顶点的权值
tmp = getWeight(G, k, j);
// 当第j个节点没有被处理，并且需要更新时才被更新。
if (weights[j] != 0 && tmp < weights[j])
weights[j] = tmp;
}
}
// 计算最小生成树的权值
sum = 0;
for (i = 1; i < index; i++)
{
min = INF;
// 获取prims[i]在G中的位置
n = get_position(G, prims[i]);
// 在vexs[0...i]中，找出到j的权值最小的顶点。
for (j = 0; j < i; j++)
{
m = get_position(G, prims[j]);
tmp = getWeight(G, m, n);
if (tmp < min)
min = tmp;
}
sum += min;
}
// 打印最小生成树
printf("PRIM(%c)=%d: ", G.vexs[start].data, sum);
for (i = 0; i < index; i++)
printf("%c ", prims[i]);
printf("\n");
}
// calculate shipping cost for package
double Package::calculateCost() const
{
return getWeight() * getCostPerOunce();
} // end function calculateCost
int main (int argc, char *argv[])
{
printBoxedMessage("Starting plot generation");
// ####################
// ## Init tools ##
// ####################
// Create a sonic Screwdriver
SonicScrewdriver s;
// ##########################
// ## Create Variables ##
// ##########################
s.AddVariable("MET", "MET", "GeV", 16,50,530, &(myEvent.MET), "logY");
s.AddVariable("METPhi", "METPhi", "GeV", 16,50,530, &(myEvent.METPhi), "");
s.AddVariable("MT", "M_{T}", "GeV", 40,0,400, &(myEvent.MT), "");
/*
s.AddVariable("MTpeak", "M_{T}", "GeV", 20,0,100, &(myEvent.MT), "noOverflowInLastBin");
s.AddVariable("MTtail", "M_{T}", "GeV", 30,100,400, &(myEvent.MT), "logY,noUnderflowInFirstBin");
s.AddVariable("deltaPhiMETJets","#Delta#Phi(MET,j_{1,2})", "rad", 16,0,3.2, &(myEvent.deltaPhiMETJets), "");
s.AddVariable("MT2W", "M_{T2}^{W}", "GeV", 20,0,500, &(myEvent.MT2W), "");
s.AddVariable("HTratio", "H_{T}^{ratio}", "", 20,0,1.2, &(myEvent.HTRatio), "");
s.AddVariable("HadronicChi2", "Hadronic #chi^{2}", "", 20,0,20, &(myEvent.hadronicChi2), "logY");
s.AddVariable("leadingBPt", "p_{T}(leading b-jet)", "GeV", 20,0,400, &(myEvent.leadingBPt), "");
s.AddVariable("leadingJetPt", "p_{T}(leading jet)", "GeV", 20,0,600, &(myEvent.leadingJetPt), "");
s.AddVariable("leptonPt", "p_{T}(lepton)", "GeV", 28,20,300, &(myEvent.leadingLeptonPt), "");
s.AddVariable("Mlb", "M'(lb)", "GeV", 20,0,500, &(myEvent.Mlb), "");
s.AddVariable("Mlb_hemi", "M(lb)", "GeV", 20,0,500, &(myEvent.Mlb_hemi), "");
s.AddVariable("M3b", "M3b", "GeV", 20,0,1000, &(myEvent.M3b), "");
s.AddVariable("deltaRLeptonB", "#DeltaR(l,leading b)", "", 20,0,5, &(myEvent.deltaRLeptonLeadingB), "");
s.AddVariable("HTLeptonPtMET", "HT + MET + p_{T}(lepton)","GeV", 20,100,2100, &(myEvent.HTPlusLeptonPtPlusMET),"");
*/
s.AddVariable("HT", "H_{T}", "", 46,120,1500, &(myEvent.HT), "");
s.AddVariable("METoverSqrtHT", "MET / #sqrt{H_{T}}", "", 32,0,32, &(myEvent.METoverSqrtHT), "");
float leadingNonBPtN4;
s.AddVariable("leadingNonBPt", "p_{T}(leading nonb-jet)", "GeV", 20,0,500, &(leadingNonBPtN4), "");
float leadingNonBPtN5;
s.AddVariable("leadingNonBPtN5", "p_{T}(leading nonb-jet) (Njet>4)", "GeV", 20,0,500, &(leadingNonBPtN5), "noUnderflowInFirstBin");
int nJets, nBtag;
s.AddVariable("nJets", "Number of selected jets", "", 11,0,10, &(nJets), "");
s.AddVariable("nBtag", "Number of selected b-tagged jets", "", 5, 0,4, &(nBtag), "");
s.AddVariable("numberOfPrimaryVertices", "Number of primary vertices", "", 41, 0,40, &(myEvent.numberOfPrimaryVertices), "");
float METPtReso;
float METdPhiReso;
s.AddVariable("METPtReso", "MET p_{T} rel. resolution", "GeV", 50, 0,5, &(METPtReso), "");
s.AddVariable("METdPhiReso", "MET #Delta #Phi rel. resolution", "rad", 50, 0,2, &(METdPhiReso), "");
// #########################################################
// ## Create ProcessClasses (and associated datasets) ##
// #########################################################
s.AddProcessClass("1ltop", "1l top", "background",kRed-7);
s.AddDataset("ttbar_powheg", "1ltop", 0, 0);
s.AddDataset("singleTop_st", "1ltop", 0, 0);
s.AddProcessClass("ttbar_2l", "t#bar{t} #rightarrow l^{+}l^{-}", "background",kCyan-3);
s.AddProcessClass("W+jets", "W+jets", "background",kOrange-2);
s.AddDataset("W+jets", "W+jets", 0, 0);
s.AddProcessClass("rare", "rare", "background",kMagenta-5);
s.AddDataset("rare", "rare", 0, 0);
/*
s.AddProcessClass("T2tt", "T2tt (450, 50)", "signal", COLORPLOT_GREEN );
s.AddDataset("T2tt", "T2tt", 0, 0);
s.AddProcessClass("T2bw", "T2bw, x = 0.50 (450, 50)", "signal", COLORPLOT_MAGENTA );
s.AddDataset("T2bw-050", "T2bw", 0, 0);
*/
/*
s.AddProcessClass("data", "data", "data",COLORPLOT_BLACK);
s.AddDataset("SingleElec", "data", 0, 0);
s.AddDataset("SingleMuon", "data", 0, 0);
s.AddDataset("DoubleElec", "data", 0, 0);
s.AddDataset("DoubleMuon", "data", 0, 0);
s.AddDataset("MuEl", "data", 0, 0);
*/
// ##########################
// ## Create Regions ##
// ##########################
s.AddRegion("preselection", "Preselection", &goesInPreselection );
s.AddRegion("preselection_MTtail", "Preselection;M_{T} tail", &goesInPreselectionMTtail );
// ##########################
// ## Create Channels ##
// ##########################
s.AddChannel("singleLepton", "e/#mu-channels", &goesInSingleLeptonChannel);
// ########################################
// ## Create histograms and ##
// ## schedule type of plots to produce ##
// ########################################
// Create histograms
s.Create1DHistos();
s.Add2DHisto("MET","HT");
s.Add2DHisto("MT","METPtReso");
s.Add2DHisto("MT","METdPhiReso");
s.Add2DHisto("MT","numberOfPrimaryVertices");
s.Add2DHisto("numberOfPrimaryVertices","METdPhiReso");
s.Add2DHisto("numberOfPrimaryVertices","METPtReso");
// Schedule plots
//s.SchedulePlots("1DDataMCComparison");
s.SchedulePlots("1DStack");
s.SchedulePlots("1DSuperimposed");
s.SchedulePlots("2D");
s.SchedulePlots("1DFrom2DProjection","varX=MT,varY=METPtReso,projectionType=mean,labelY=MET Pt rel. resolution");
s.SchedulePlots("1DFrom2DProjection","varX=MT,varY=METdPhiReso,projectionType=mean,labelY=MET #Delta #Phi rel. resolution");
s.SchedulePlots("1DFrom2DProjection","varX=MT,varY=numberOfPrimaryVertices,projectionType=mean,labelY=Number of vertices");
s.SchedulePlots("1DFrom2DProjection","varX=numberOfPrimaryVertices,varY=METdPhiReso,projectionType=mean,labelY=MET #Delta #Phi rel. resolution");
s.SchedulePlots("1DFrom2DProjection","varX=numberOfPrimaryVertices,varY=METPtReso,projectionType=mean,labelY=MET Pt rel. resolution");
// Config plots
s.SetGlobalBoolOption ("1DSuperimposed", "includeSignal", true );
s.SetGlobalStringOption("DataMCComparison", "includeSignal", "superimposed");
s.SetGlobalFloatOption ("DataMCComparison", "factorSignal", 100.0 );
s.SetGlobalStringOption("1DStack", "includeSignal", "superimposed");
s.SetGlobalFloatOption ("1DStack", "factorSignal", 100.0 );
s.SetGlobalFloatOption ("DataMCRatio", "min", 0.0 );
s.SetGlobalFloatOption ("DataMCRatio", "max", 2.0 );
s.SetGlobalStringOption("Plot", "infoTopRight", "CMS Preliminary");
s.SetGlobalStringOption("Plot", "infoTopLeft", "#sqrt{s} = 8 TeV, L = 19.5 fb^{-1}");
s.SetGlobalBoolOption ("Plot", "exportPdf", true);
s.SetGlobalBoolOption ("Plot", "exportEps", false);
s.SetGlobalBoolOption ("Plot", "exportPng", false);
// ########################################
// ## Run over the datasets ##
// ########################################
vector<string> datasetsList;
s.GetDatasetList(&datasetsList);
cout << " > Reading datasets... " << endl;
cout << endl;
for (unsigned int d = 0 ; d < datasetsList.size() ; d++)
{
string currentDataset = datasetsList[d];
string currentProcessClass = s.GetProcessClass(currentDataset);
sampleName = currentDataset;
sampleType = s.GetProcessClassType(currentProcessClass);
// Open the tree
TFile f((string(FOLDER_BABYTUPLES)+currentDataset+".root").c_str());
TTree* theTree = (TTree*) f.Get("babyTuple");
intermediatePointers pointers;
InitializeBranchesForReading(theTree,&myEvent,&pointers);
if (sampleType == "signal")
{
theTree->SetBranchAddress("mStop", &(myEvent.mStop));
theTree->SetBranchAddress("mNeutralino", &(myEvent.mNeutralino));
}
else
{
myEvent.mStop = -1;
myEvent.mNeutralino = -1;
}
// ########################################
// ## Run over the events ##
// ########################################
bool ttbarDatasetToBeSplitted = false;
if (findSubstring(currentDataset,"ttbar"))
ttbarDatasetToBeSplitted = true;
int nEntries = theTree->GetEntries();
for (int i = 0 ; i < nEntries ; i++)
{
//if (i > float(nEntries) * 0.1) break;
if (i % (nEntries / 50) == 0) printProgressBar(i,nEntries,currentDataset);
// Get the i-th entry
ReadEvent(theTree,i,&pointers,&myEvent);
nJets = myEvent.nJets;
nBtag = myEvent.nBTag;
float weight = getWeight();
// Split 1-lepton ttbar and 2-lepton ttbar
string currentProcessClass_ = currentProcessClass;
if (ttbarDatasetToBeSplitted && (myEvent.numberOfGenLepton == 2))
currentProcessClass_ = "ttbar_2l";
#ifdef LEADING_NON_B_PT_ALREADY_COMPUTED
leadingNonBPtN4= myEvent.leadingNonBPt;
#else
leadingNonBPtN4= leadingNonBPt();
#endif
leadingNonBPtN5=-1;
if (nJets>4) leadingNonBPtN5= leadingNonBPtN4;
if ((currentProcessClass_ == "T2tt") && ((myEvent.mStop != 450) || (myEvent.mNeutralino != 50))) continue;
if ((currentProcessClass_ == "T2bw") && ((myEvent.mStop != 450) || (myEvent.mNeutralino != 50))) continue;
computeGenInfo();
METPtReso = myEvent.MET / myEvent.genMET;
METdPhiReso = abs(Phi_mpi_pi(myEvent.METPhi - myEvent.leadingLepton.Phi())) / myEvent.genMETdPhi;
s.AutoFillProcessClass(currentProcessClass_,weight);
}
printProgressBar(nEntries,nEntries,currentDataset);
cout << endl;
f.Close();
}
/*
// #############################
// ## Apply scale factors ##
// #############################
Table scaleFactors = Table("../prediction/scaleFactors/preselection.tab");
Figure SF_pre = scaleFactors.Get("value","SF_pre");
Figure SF_post = scaleFactors.Get("value","SF_post");
Figure SF_0btag = scaleFactors.Get("value","SF_0btag");
Figure SF_vetopeak = scaleFactors.Get("value","SF_vetopeak");
Figure SF_MTtail_1ltop = scaleFactors.Get("value","SF_MTtail_1ltop");
Figure SF_MTtail_Wjets = scaleFactors.Get("value","SF_MTtail_Wjets");
s.ApplyScaleFactor("ttbar_2l", "preselection_MTtail_withCorr", "singleLepton", SF_pre);
s.ApplyScaleFactor("1ltop", "preselection_MTtail_withCorr", "singleLepton", SF_post * SF_MTtail_1ltop);
s.ApplyScaleFactor("W+jets", "preselection_MTtail_withCorr", "singleLepton", SF_post * SF_MTtail_Wjets);
*/
// ###################################
// ## Make plots and write them ##
// ###################################
cout << endl;
cout << " > Making plots..." << endl;
s.MakePlots();
cout << " > Saving plots..." << endl;
s.WritePlots("./plots/METresolution/");
printBoxedMessage("Plot generation completed");
// #############################
// ## Post-plotting tests ##
// #############################
printBoxedMessage("Program done.");
return (0);
}
void compute_clut_prob() {
Beam *centerBeam = beamQueue[NBEAMS_KERNEL/2];
int igate;
float tdbz, spin, sdve, ratioNarrow, ratioWide;
double tdbzInterest, spinInterest, sdveInterest, ratioWideInterest;
double tdbzWeight, spinWeight, sdveWeight, ratioWideWeight;
double clutterProb;
int clutterFlag;
for (igate = 0; igate < centerBeam->nGates; igate++) {
/* get the feature fields */
tdbz = centerBeam->tdbz[igate];
spin = centerBeam->spin[igate];
sdve = centerBeam->sdve[igate];
ratioNarrow = centerBeam->ratioNarrow[igate];
ratioWide = centerBeam->ratioWide[igate];
/* censor based on ratioNarrow */
if (ratioNarrow < RATIO_NARROW_THRESHOLD) {
centerBeam->clutterProb[igate] = CENSORED;
centerBeam->clutterFlag[igate] = 0;
continue;
}
/* convert feature fields to interest values */
tdbzInterest = getInterest(tdbzMap, tdbz);
spinInterest = getInterest(spinMap, spin);
sdveInterest = getInterest(sdveMap, sdve);
ratioWideInterest = getInterest(ratioWideMap, ratioWide);
/* get weights for each field */
tdbzWeight = getWeight(tdbzMap);
spinWeight = getWeight(spinMap);
sdveWeight = getWeight(sdveMap);
ratioWideWeight = getWeight(ratioWideMap);
/* compute weighted sum */
double sum = 0.0;
double sumWt = 0.0;
sum =
tdbzInterest * tdbzWeight +
spinInterest * spinWeight +
sdveInterest * sdveWeight +
ratioWideInterest * ratioWideWeight;
sumWt =
tdbzWeight + spinWeight + sdveWeight + ratioWideWeight;
clutterProb = sum / sumWt;
if (clutterProb > PROB_THRESHOLD) {
clutterFlag = 1;
} else {
clutterFlag = 0;
}
centerBeam->clutterProb[igate] = clutterProb;
centerBeam->clutterFlag[igate] = clutterFlag;
} /* igate */
} /* compute_clut_prob */
int BookReader::filterAndNormalize(const Board &board,
vector<book::DataEntry> &rawMoves,
vector< pair<Move,int> > &moves) {
//
// Build a list of candidate moves.
//
vector< pair<book::DataEntry,int> > candidates;
for (unsigned i = 0; i < rawMoves.size(); i++) {
int score = getWeight(rawMoves[i]);
if (score > 0) {
candidates.push_back(pair<book::DataEntry,int>(
rawMoves[i],score));
}
}
#ifdef _TRACE
cout << "candidate_count = " << candidates.size() << endl;
#endif
if (candidates.size() == 0) return 0;
// Sort by descending weights
for (unsigned i=1; i<candidates.size(); i++) {
const int key = candidates[i].second;
pair<book::DataEntry,int> tmp = candidates[i];
int j = i-1;
for (; j >= 0 && candidates[j].second < key; j--) {
candidates[j+1] = candidates[j];
}
candidates[j+1] = tmp;
}
const int maxWeight = candidates[0].second;
int total_weight = 0;
for (unsigned i=0; i<candidates.size(); i++) {
int weight = candidates[i].second;
// apply selectivity value. If selectivity > 50, decrease
// weights of moves besides the best move(s). If selectivity <
// 50, increase weights of moves besides the best move(s).
#ifdef _TRACE
cout << " orig weight=" << candidates[i].second;
#endif
if (maxWeight != weight) {
if (options.book.selectivity > 50) {
weight = int(weight*(1.0 - 2.0*double(options.book.selectivity-50)/100));
} else if (options.book.selectivity < 50) {
weight = Util::Min(maxWeight,int(weight*(1.0 + double(50-options.book.selectivity)/12.0)));
}
// based on selectivity value, drop very low scoring moves
if (weight < options.book.selectivity*maxWeight/1000) {
weight = 0;
}
}
candidates[i].second = weight;
total_weight += candidates[i].second;
#ifdef _TRACE
cout << " adjusted weight=" << candidates[i].second << endl;
#endif
}
Move move_list[Constants::MaxMoves];
MoveGenerator mg(board);
const unsigned max = (unsigned)mg.generateAllMoves(move_list,1 /* repeatable */);
if (total_weight) {
// Convert move indexes to moves and normalize weight values.
// Remove 0-weighted moves.
for (unsigned i=0; i<candidates.size(); i++) {
const unsigned index = (unsigned)candidates[i].first.index;
ASSERT(index < max);
const int normalizedWeight = (book::MAX_WEIGHT*candidates[i].second)/total_weight;
if (normalizedWeight && index < max) {
moves.push_back( pair<Move,int> (
move_list[index],
normalizedWeight));
}
}
}
return (int)moves.size();
}
int main (int argc, char *argv[])
{
//loadBDTSignalRegions();
if(argc == 2){
cout<<"load"<<endl;
default_param2(topness2_param_);
LoadParam2(string(argv[1]));
}
else{
cout<<"You shoul provide the name of the config file !"<<endl;
return -1;
}
printBoxedMessage("Starting tables generation");
// ####################
// ## Init tools ##
// ####################
// Create a sonic Screwdriver
SonicScrewdriver screwdriver;
// ##########################
// ## Create Variables ##
// ##########################
vector<string> colTags = {"default","resMass", "aCM", "allTerms","allTermsBias"};
vector<string> colLabels = {"default","reso mass", "aCM terms", "all terms", "id + bias"};
vector<string> rowTags = {"purity"};
vector<string> rowLabels = {"purity"};
Table table_topness_purity(colTags,rowTags,colLabels,rowLabels);
int n_tt2l_sel = 0;
int n_tt2l_sel_matchable = 0;
int n_topness_var = 5;
vector< vector< int > > topness_purity;
topness_purity.resize(n_topness_var);
for(int i=0;i<n_topness_var;i++) topness_purity[i].resize(2);
//tt2l_mc_info mcinfo;
//tt2l_reso res;
float d_met;
float topness_def;
float topness_m1; // change the resolution term for Invis.
float topness_m2; // change the resolution term for aCM
float topness_m3; // change the resolution term for all
float topness_m4; // change the resolution term for all
float topness_m5; // m3 + correct for MET bias
float topness_m6; // m3 + correct for MET bias
float topness_m7; // m3 + correct for MET bias
float topness_m8; // m3 + correct for MET bias
float topness_m9; // m3 + correct for MET bias
float topness_m10; // m3 + correct for MET bias
float topness_m11; // m3 + correct for MET bias
float topness_m12; // m3 + correct for MET bias
float topness_m13; // m3 + correct for MET bias
screwdriver.AddVariable("MT2W", "MT2W", "GeV", 40,0,400, &(myEvent.MT2W), "");
//screwdriver.AddVariable("lostLeptonEta", "Eta of lost lepton", "", 40, -6, 6, &(res.lost_eta), "");
// topness
screwdriver.AddVariable("topness", "topness - reference", "", 80, -5, 15, &(topness_def), "");
/*
screwdriver.AddVariable("topness_m12", "topness - resolution modified", "", 40, -20, 20, &(topness_m12), "");
screwdriver.AddVariable("topness_m13", "topness - resolution modified", "", 40, -20, 20, &(topness_m13), "");
*/
//int index_b; //
//int index_bbar; //
// vector<int> index_isr;
// #########################################################
// ## Create ProcessClasses (and associated datasets) ##
// #########################################################
screwdriver.AddProcessClass("ttbar_1l", "t#bar{t} #rightarrow l+jets", "background",kRed-7);
screwdriver.AddDataset("ttbar-madgraph", "ttbar_1l", 0, 0);
screwdriver.AddProcessClass("ttbar_2l", "t#bar{t} #rightarrow l^{+}l^{-}", "background",kCyan-3);
///*
screwdriver.AddProcessClass("single_top", "single top", "background",kRed-5);
screwdriver.AddDataset("singleTopbar_s", "single_top", 0, 0);
screwdriver.AddDataset("singleTopbar_t", "single_top", 0, 0);
screwdriver.AddDataset("singleTop_s", "single_top", 0, 0);
screwdriver.AddDataset("singleTop_t", "single_top", 0, 0);
screwdriver.AddProcessClass("W+jets", "W+jets", "background",kOrange-2);
screwdriver.AddDataset("Wjets", "W+jets", 0, 0);
screwdriver.AddProcessClass("VV", "di-boson", "background",kOrange-3);
//screwdriver.AddDataset("ZZ", "ZZ", 0, 0);
screwdriver.AddDataset("WZ", "WZ", 0, 0);
screwdriver.AddProcessClass("ttV", "ttV", "background",kOrange-4);
screwdriver.AddDataset("ttW", "ttV", 0, 0);
screwdriver.AddDataset("ttZ", "ttV", 0, 0);
// */
screwdriver.AddProcessClass("T2tt_850_100", "T2tt_850_100", "signal",kGreen+2);
screwdriver.AddDataset("T2tt_850_100", "T2tt_850_100", 0, 0);
screwdriver.AddProcessClass("T2tt_650_100", "T2tt_650_100", "signal",kGreen+3);
screwdriver.AddDataset("T2tt_650_100", "T2tt_650_100", 0, 0);
// screwdriver.AddProcessClass("T2tt_500_325", "T2tt_500_325", "signal",kGreen+4);
// screwdriver.AddDataset("T2tt_500_325", "T2tt_500_325", 0, 0);
// ##########################
// ## Create Regions ##
// ##########################
//screwdriver.AddRegion("presel_MTpeak", "Preselection (MT peak)", &goesInMTpeak);
//screwdriver.AddRegion("presel_MTtail", "Preselection (MT peak)", &goesInMTtail);
screwdriver.AddRegion("baseline", "Baseline selection", &goesInBaselineSearchSR);
screwdriver.AddRegion("baslineLargeDM", "Baseline S.R. - Large #DeltaM", &goesInLargeDMSR);
screwdriver.AddRegion("baselineSmallDM", "Baseline S.R. - Small #DeltaM", &goesInSmallDMSR);
screwdriver.AddRegion("baseline2b", "Baseline selection", &goesInBaselineSearchSR2b);
screwdriver.AddRegion("baselineSmallDM2b", "Baseline S.R. - Small #DeltaM", &goesInSmallDMSR2b);
// ##########################
// ## Create Channels ##
// ##########################
//screwdriver.AddChannel("singleLepton", "e/#mu-channels", &goesInSingleLeptonChannel);
//screwdriver.AddChannel("singleElec", "e-channel", &goesInSingleElecChannel );
//screwdriver.AddChannel("singleMuon", "#mu-channel", &goesInSingleMuonChannel );
screwdriver.AddChannel("allChannels", "", &goesInAnyChannel );
// ########################################
// ## Create histograms and ##
// ## schedule type of plots to produce ##
// ########################################
// Create histograms
screwdriver.Create1DHistos();
// Create 2D histos
// #########################################################
// Schedule plots
screwdriver.SchedulePlots("1DDataMCComparison");
screwdriver.SchedulePlots("1DStack");
screwdriver.SchedulePlots("1DSuperimposed");
//screwdriver.SchedulePlots("2D");
// Config plots
screwdriver.SetGlobalStringOption("DataMCComparison", "includeSignal", "stack");
screwdriver.SetGlobalFloatOption ("DataMCComparison", "factorSignal", 1.0 );
screwdriver.SetGlobalStringOption("1DStack", "includeSignal", "superimposed");
screwdriver.SetGlobalFloatOption ("1DStack", "factorSignal", 1.0 );
screwdriver.SetGlobalStringOption("Plot", "infoTopRight", "CMS Preliminary");
screwdriver.SetGlobalStringOption("Plot", "infoTopLeft", "#sqrt{s} = 8 TeV, L = 10 fb^{-1}");
screwdriver.SetGlobalBoolOption("Plot", "exportPdf", true);
screwdriver.SetGlobalBoolOption("Plot", "exportEps", false);
screwdriver.SetGlobalBoolOption("Plot", "exportPng", false);
// ########################################
// ## Run over the datasets ##
// ########################################
vector<string> datasetsList;
screwdriver.GetDatasetList(&datasetsList);
cout << " > Reading datasets... " << endl;
cout << endl;
for (unsigned int d = 0 ; d < datasetsList.size() ; d++)
{
string currentDataset = datasetsList[d];
string currentProcessClass = screwdriver.GetProcessClass(currentDataset);
sampleName = currentDataset;
sampleType = screwdriver.GetProcessClassType(currentProcessClass);
// Open the tree
string treePath = string(FOLDER_BABYTUPLES_SKIM)+currentDataset+".root";
TFile f(treePath.c_str());
TTree* theTree = (TTree*) f.Get("babyTuple");
//cout<<"v1"<<endl;
InitializeBranchesForReading(theTree,&myEvent);
//cout<<"v2"<<endl;
// ########################################
// ## Run over the events ##
// ########################################
bool ttbarDatasetToBeSplitted = false;
if (findSubstring(currentDataset,"ttbar")
&& (currentDataset != "ttbar_madgraph_1l")
&& (currentDataset != "ttbar_madgraph_2l"))
ttbarDatasetToBeSplitted = true;
int nEntries = theTree->GetEntries();
//if(nEntries>10000000) nEntries = 10000000;
//if(nEntries>5000000) nEntries = 5000000;
//if(nEntries>500000) nEntries = 500000;
double tWL, tTL, tTM;
float sf_fracEvent = (float)nEntries/theTree->GetEntries();
for (int i = 0 ; i < nEntries ; i++)
{
if (i % (nEntries / 50) == 0) printProgressBar(i,nEntries,currentDataset);
// Get the i-th entry
ReadEvent(theTree,i,&myEvent);
string currentProcessClass_ = currentProcessClass;
float weight = getWeight(currentDataset,theTree->GetEntries(), sf_fracEvent);
//Compute Delta MET
d_met = myEvent.pfmet-myEvent.genMET;
//Topness study
bool is_tt2l = false;
if(myEvent.ttbar_decay == 2){
is_tt2l = true;
n_tt2l_sel++;
if(myEvent.matched == true) n_tt2l_sel_matchable++;
}
#ifdef topness_computation
int index_b1 = -1;
int index_b2 = -1;
//cout<<topness_param_.use_cox_box<<endl;
//cout<<topness_param_.aW<<endl;
//default_param(topness_param_);
//DumpParam();
topness_def = ComputeTopness(index_b1,index_b2, tWL, tTL, tTM);
//cout<<"topness = "<<topness_def<<endl;
if(TopnessMatched(index_b1, index_b2)) topness_purity[0][0]++;
// changing the resolution terms
/*
// default computation
// -- load default parameter s
default_param(topness_param_);
topness_def = ComputeTopness(index_b1,index_b2);
if(TopnessMatched(index_b1, index_b2)) topness_purity[0][0]++;
// changing the resolution terms
default_param(topness_param_);
topness_param_.aW = 40;
topness_param_.aT = 50;
topness_m1 = ComputeTopness(index_b1,index_b2);
if(TopnessMatched(index_b1, index_b2)) topness_purity[0][1]++;
//
default_param(topness_param_);
topness_param_.aCM = 70;
topness_param_.aCM_mean = 500;
topness_m2 = ComputeTopness(index_b1,index_b2);
if(TopnessMatched(index_b1, index_b2)) topness_purity[0][2]++;
//
default_param(topness_param_);
topness_param_.aW = 40;
topness_param_.aT = 50;
topness_param_.aCM = 200;
topness_param_.aCM_mean = 650;
topness_m3 = ComputeTopness(index_b1,index_b2);
if(TopnessMatched(index_b1, index_b2)) topness_purity[0][3]++;
//
default_param(topness_param_);
topness_param_.aCM = 250;
topness_param_.aCM_mean = 670;
topness_m4 = ComputeTopness(index_b1,index_b2);
if(TopnessMatched(index_b1, index_b2)) topness_purity[0][4]++;
//correct for MET bias
topness_param_.aW = 40;
topness_param_.aT = 50;
topness_param_.aCM = 200;
topness_param_.aCM_mean =670;
topness_m7 = ComputeTopness(index_b1,index_b2);
//if(TopnessMatched(index_b1, index_b2)) topness_purity[0][5]++;
//correct for MET bias
//if(myEvent.pfmet>80) myEvent.pfmet = myEvent.pfmet - 50;
default_param(topness_param_);
topness_param_.aW = 80;
topness_param_.aT = 100;
topness_param_.aCM = 200;
topness_param_.aCM_mean = 670;
topness_m8 = ComputeTopness(index_b1,index_b2);
//if(TopnessMatched(index_b1, index_b2)) topness_purity[0][5]++;
//correct for MET bias
//if(myEvent.pfmet>80) myEvent.pfmet = myEvent.pfmet - 50;
default_param(topness_param_);
//topness_param_.aW = 80;
//topness_param_.aT = 100;
topness_param_.aCM = 65;
topness_param_.aCM_mean = 650;
topness_param_.use_cox_box = true;
topness_m9 = ComputeTopness(index_b1,index_b2);
//if(TopnessMatched(index_b1, index_b2)) topness_purity[0][5]++;
//correct for MET bias
//if(myEvent.pfmet>80) myEvent.pfmet = myEvent.pfmet - 50;
default_param(topness_param_);
topness_param_.aW = 40;
topness_param_.aT = 50;
topness_param_.aCM = 65;
topness_param_.aCM_mean = 650;
topness_param_.use_cox_box = true;
topness_m10 = ComputeTopness(index_b1,index_b2);
//correct for MET bias
//if(myEvent.pfmet>80) myEvent.pfmet = myEvent.pfmet - 50;
default_param(topness_param_);
topness_param_.aW = 40;
topness_param_.aT = 50;
topness_param_.aCM = 80;
topness_param_.aCM_mean = 800;
topness_param_.use_cox_box = true;
topness_m11 = ComputeTopness(index_b1,index_b2);
//correct for MET bias
//if(myEvent.pfmet>80) myEvent.pfmet = myEvent.pfmet - 50;
default_param(topness_param_);
//topness_param_.aW = 40;
//topness_param_.aT = 50;
//topness_param_.aCM = 80;
//topness_param_.aCM_mean = 800;
//topness_param_.use_cox_box = true;
topness_param_.usePtPz = true;
topness_m12 = ComputeTopness(index_b1,index_b2);
*/
//correct for MET bias
//if(myEvent.pfmet>80) myEvent.pfmet = myEvent.pfmet - 50;
/*
default_param(topness_param_);
topness_param_.aW = 40;
topness_param_.aT = 50;
//topness_param_.aCM = 80;
//topness_param_.aCM_mean = 800;
//topness_param_.use_cox_box = true;
topness_param_.usePtPz = true;
topness_m13 = ComputeTopness(index_b1,index_b2);
*/
/*
//correct for MET bias
//if(myEvent.pfmet>80) myEvent.pfmet = myEvent.pfmet - 50;
default_param(topness_param_);
topness_param_.aW = 40;
topness_param_.aT = 50;
topness_param_.aCM = 350;
topness_param_.aCM_mean = 850;
topness_m6 = ComputeTopness(index_b1,index_b2);
//if(TopnessMatched(index_b1, index_b2, res)) topness_purity[0][5]++;
//correct for MET bias
//cout<<myEvent.pfmet<<endl;
//if(myEvent.pfmet>80) myEvent.pfmet = myEvent.pfmet - 50;
if(myEvent.pfmet>80) myEvent.pfmet = myEvent.pfmet*0.70;// - 50;
//cout<<myEvent.pfmet<<endl;
default_param(topness_param_);
topness_param_.aW = 40;
topness_param_.aT = 50;
topness_param_.aCM = 300;
topness_param_.aCM_mean = 650;
topness_m5 = ComputeTopness(index_b1,index_b2);
//if(TopnessMatched(index_b1, index_b2, res)) topness_purity[0][5]++;
*/
#endif
// Split 1-lepton ttbar and 2-lepton ttbar
//if (ttbarDatasetToBeSplitted && (myEvent.genlepsfromtop == 2))
if (ttbarDatasetToBeSplitted && is_tt2l)
currentProcessClass_ = "ttbar_2l";
screwdriver.AutoFillProcessClass(currentProcessClass_,weight);
}
printProgressBar(nEntries,nEntries,currentDataset);
cout << endl;
f.Close();
}
// ###################################
// ## Make plots and write them ##
// ###################################
cout << endl;
cout << " > Making plots..." << endl;
screwdriver.MakePlots();
cout << " > Saving plots..." << endl;
//string output_dir = %./plots/"+string(argv[1])+"/pow2/";
string output_dir = "./plots/"+string(argv[1])+"/comb3_4/";
//string output_dir = "./plots/"+string(argv[1])+"/pow2/loopnonb_all/";
//string output_dir = "./plots/topness2/"+string(argv[1])+"/";
//screwdriver.WritePlots(string("./plots/plotsProducer/"));
screwdriver.WritePlots(output_dir);
printBoxedMessage("Plot generation completed");
printBoxedMessage("Writing the table ... ");
vector<string> regions = {
"presel_MTtail", "baseline", "baslineLargeDM", "baselineSmallDM"
//"presel_MTpeak", "presel_MTtail",
/*
"preveto_MTpeak", "preveto_MTtail",
"signalRegion_MTpeak", "signalRegion_MTtail",
"0btag_MTpeak", "0btag_MTtail",
"reversedVeto_MTpeak", "reversedVeto_MTtail",
"2leptons", "2leptons_MTpeak", "2leptons_MTtail",
*/};
//string exportFile = "rawYieldTables/prediction.tab";
//TableDataMC(&screwdriver,regions,"allChannels").Print(exportFile,4);
// #############################
// ## Post-plotting tests ##
// #############################
//Table topness - purity
for(int i=0;i<n_topness_var;i++){
table_topness_purity.Set(0,i, Figure(topness_purity[i][0],sqrt(topness_purity[i][0]))/Figure(n_tt2l_sel,sqrt(n_tt2l_sel)));
table_topness_purity.Set(1,i, Figure(topness_purity[i][0],sqrt(topness_purity[i][0]))/Figure(n_tt2l_sel_matchable,sqrt(n_tt2l_sel_matchable)));
}
table_topness_purity.Print(output_dir+"purity.dat");
printBoxedMessage("Program done.");
/*
string region = "baseline";
string channel = "allChannels";
string var;
var = "topness_m5";
//loop over the backgroumd
vector<string> processClassList;
//GetProcessClassTagList()
screwdriver.GetProcessClassTagList(&processClassList);
TH1F* h_Eff_Bkg = 0;
TH1F* h_Eff_Sig = 0;
bool first = true;
for(unsigned int i=0;i<processClassList.size();i++){
string proc = processClassList[i];
if(scredrive.GetProcessClassType(proc) == "background"){
TH1F* h = screewdriver.Get1DHistoClone(var , processClass, region, channel);
if(first){
h_Eff_Bkg = (TH1F*) h->Clone("");
first = false;
}
for(int i=1;i<h->GetNBinsX();i++){
h_Eff_Bkgh->Integral(i,h->GetNBinsX()+1);
}
}
}
*/
return (0);
}
std::string Item::getDescription(int32_t lookDistance) const
{
std::stringstream s;
const ItemType& it = items[id];
if (it.name.length()) {
if(isStackable() && count > 1){
s << (int)count << " " << it.name << "s.";
if(lookDistance <= 1) {
s << std::endl << "They weight " << std::fixed << std::setprecision(2) << ((double) count * it.weight) << " oz.";
}
}
else{
if(items[id].runeMagLevel != -1)
{
s << "a spell rune for level " << it.runeMagLevel << "." << std::endl;
s << "It's an \"" << it.name << "\" spell (";
if(getItemCharge())
s << (int)getItemCharge();
else
s << "1";
s << "x).";
}
else if(isWeapon() && (getAttack() || getDefense()))
{
if(getAttack()){
s << "a " << it.name << " (Atk:" << (int)getAttack() << " Def:" << (int)getDefense() << ").";
}
else{
s << "a " << it.name << " (Def:" << (int)getDefense() << ").";
}
}
else if(getArmor()){
s << "a " << it.name << " (Arm:" << (int)getArmor() << ").";
}
else if(isFluidContainer()){
s << "a " << it.name;
if(fluid == 0){
s << ". It is empty.";
}
else{
s << " of " << items[fluid].name << ".";
}
}
else if(isSplash()){
s << "a " << it.name << " of ";
if(fluid == 0){
s << items[1].name << ".";
}
else{
s << items[fluid].name << ".";
}
}
else if(it.isKey()){
s << "a " << it.name << " (Key:" << actionId << ").";
}
else if(it.isGroundTile()){
s << it.name << ".";
}
else if(it.isContainer()){
s << "a " << it.name << " (Vol:" << getContainer()->capacity() << ").";
}
else if(it.allowDistRead){
s << it.name << "." << std::endl;
if(lookDistance <= 4){
if(text && text->length() > 0){
s << "You read: " << *text;
}
else
s << "Nothing is written on it.";
}
else
s << "You are too far away to read it.";
}
else{
s << "a " << it.name << ".";
}
if(lookDistance <= 1){
double weight = getWeight();
if(weight > 0)
s << std::endl << "It weighs " << std::fixed << std::setprecision(2) << weight << " oz.";
}
if(specialDescription)
s << std::endl << specialDescription->c_str();
else if(lookDistance <= 1 && it.description.length()){
s << std::endl << it.description;
}
}
}
else
s << "an item of type " << id <<".";
return s.str();
}
int main (int argc, char *argv[])
{
// Loading standard BDT cuts
loadBDTSignalRegions();
// Replacing standard BDT cuts with cut allowing >=25% efficiency on the background
// (goal is to have enough stat to perform the template fit)
loadBDTCutsWithCustomRequirement("25percentEfficiency");
printBoxedMessage("Starting plot generation");
// ####################
// ## Init tools ##
// ####################
// Create a sonic Screwdriver
SonicScrewdriver screwdriver;
// ##########################
// ## Create Variables ##
// ##########################
screwdriver.AddVariable("Mlb", "M'(lb)", "GeV", 40,0,600, &(myEvent.Mlb), "");
float Mlb_customBinning[3] = {0,150,600};
screwdriver.AddVariable("Mlb_small", "M'(lb)", "GeV", 2, Mlb_customBinning, &(myEvent.Mlb), "");
screwdriver.AddVariable("M3b", "M3b", "GeV", 40,0,1000, &(myEvent.M3b), "");
// To perform systematic study
// (Note : JESup/down are not in skimmed babyTuples as for now)
/*
screwdriver.AddVariable("M3b_JESup", "M3b_JESup", "GeV", 40,0,1000, &(myEvent.M3b_JESup), "");
screwdriver.AddVariable("M3b_JESdown", "M3b_JESdown", "GeV", 40,0,1000, &(myEvent.M3b_JESdown), "");
screwdriver.AddVariable("Mlb_JESup", "Mlb_JESup", "GeV", 40,0,1000, &(myEvent.Mlb_JESup), "");
screwdriver.AddVariable("Mlb_JESdown", "Mlb_JESdown", "GeV", 40,0,1000, &(myEvent.Mlb_JESdown), "");
*/
int nJets;
screwdriver.AddVariable("nJets", "Number of selected jets", "", 4, 4, 7, &(nJets), "");
// #########################################################
// ## Create ProcessClasses (and associated datasets) ##
// #########################################################
screwdriver.AddProcessClass("1ltop", "1l top", "background",kRed-7);
#ifdef USING_TTBAR_POWHEG
screwdriver.AddDataset("ttbar_powheg", "1ltop", 0, 0);
#endif
#ifdef USING_TTBAR_MADGRAPH
screwdriver.AddDataset("ttbar_madgraph_1l", "1ltop", 0, 0);
#endif
//screwdriver.AddDataset("ttbar_madgraph_scaledown", "1ltop", 0, 0);
//screwdriver.AddDataset("ttbar_madgraph_scaleup", "1ltop", 0, 0);
//screwdriver.AddDataset("ttbar_madgraph_matchingdown", "1ltop", 0, 0);
//screwdriver.AddDataset("ttbar_madgraph_matchingup", "1ltop", 0, 0);
//screwdriver.AddDataset("ttbar_madgraph_mass166-5", "1ltop", 0, 0);
//screwdriver.AddDataset("ttbar_madgraph_mass178-5", "1ltop", 0, 0);
screwdriver.AddDataset("singleTop_st", "1ltop", 0, 0);
screwdriver.AddProcessClass("ttbar_2l", "t#bar{t} #rightarrow l^{+}l^{-}", "background",kCyan-3);
#ifdef USING_TTBAR_MADGRAPH
screwdriver.AddDataset("ttbar_madgraph_2l", "ttbar_2l", 0, 0);
#endif
screwdriver.AddProcessClass("W+jets", "W+jets", "background",kOrange-2);
screwdriver.AddDataset("W+jets", "W+jets", 0, 0);
screwdriver.AddProcessClass("rare", "rare", "background",kMagenta-5);
screwdriver.AddDataset("rare", "rare", 0, 0);
//screwdriver.AddDataset(SIGNAL_CONTAMINATION_INPUT, "rare", 0, 0);
screwdriver.AddProcessClass("data", "data", "data",COLORPLOT_BLACK);
screwdriver.AddDataset("SingleElec", "data", 0, 0);
screwdriver.AddDataset("SingleMuon", "data", 0, 0);
// ##########################
// ## Create Regions ##
// ##########################
screwdriver.AddRegion("MTpeak", "MT peak Control Region;No b-tag requirement", &goesInPreselNoBRequirementControlRegionMTinverted);
screwdriver.AddRegion("presel_MTinverted", "Preselection (MT < 100 GeV)", &goesInPreselectionMTinverted);
screwdriver.AddRegion("presel_MTpeak", "Preselection (MT peak)", &goesInPreselectionMTpeak);
screwdriver.AddRegion("0btag", "0 b-tag Control Region", &goesIn0BtagControlRegion);
screwdriver.AddRegion("0btag_MTpeak", "0 b-tag Control Region;MT peak", &goesIn0BtagControlRegionMTpeak);
screwdriver.AddRegion("0btag_MTinverted", "0 b-tag Control Region;MT < 100 GeV", &goesIn0BtagControlRegionMTinverted);
screwdriver.AddRegion("0btag_MTtail", "0 b-tag Control Region;MT tail", &goesIn0BtagControlRegionMTtail);
string rebinning;
rebinning="rebin=2";
screwdriver.AddRegion("BDT_MTtail_T2tt_1", "", &BDT_MTtail_T2tt_1, rebinning);
screwdriver.AddRegion("BDT_MTtail_T2tt_2", "", &BDT_MTtail_T2tt_2, rebinning);
screwdriver.AddRegion("BDT_MTtail_T2tt_5", "", &BDT_MTtail_T2tt_5, rebinning);
screwdriver.AddRegion("BDT_MTtail_T2bw075_1", "", &BDT_MTtail_T2bw075_1, rebinning);
screwdriver.AddRegion("BDT_MTtail_T2bw075_2", "", &BDT_MTtail_T2bw075_2, rebinning);
screwdriver.AddRegion("BDT_MTtail_T2bw075_3", "", &BDT_MTtail_T2bw075_3, rebinning);
screwdriver.AddRegion("BDT_MTtail_T2bw075_5", "", &BDT_MTtail_T2bw075_5, rebinning);
screwdriver.AddRegion("BDT_MTtail_T2bw050_1", "", &BDT_MTtail_T2bw050_1, rebinning);
screwdriver.AddRegion("BDT_MTtail_T2bw050_3", "", &BDT_MTtail_T2bw050_3, rebinning);
screwdriver.AddRegion("BDT_MTtail_T2bw050_4", "", &BDT_MTtail_T2bw050_4, rebinning);
screwdriver.AddRegion("BDT_MTtail_T2bw050_5", "", &BDT_MTtail_T2bw050_5, rebinning);
screwdriver.AddRegion("BDT_MTtail_T2bw050_6", "", &BDT_MTtail_T2bw050_6, rebinning);
screwdriver.AddRegion("BDT_MTtail_T2bw025_1", "", &BDT_MTtail_T2bw025_1, rebinning);
screwdriver.AddRegion("BDT_MTtail_T2bw025_3", "", &BDT_MTtail_T2bw025_3, rebinning);
screwdriver.AddRegion("BDT_MTtail_T2bw025_4", "", &BDT_MTtail_T2bw025_4, rebinning);
screwdriver.AddRegion("BDT_MTtail_T2bw025_6", "", &BDT_MTtail_T2bw025_6, rebinning);
rebinning="rebin=4";
screwdriver.AddRegion("BDT_MTpeak_T2tt_1", "", &BDT_MTpeak_T2tt_1 , rebinning);
screwdriver.AddRegion("BDT_MTpeak_T2tt_2", "", &BDT_MTpeak_T2tt_2 , rebinning);
screwdriver.AddRegion("BDT_MTpeak_T2tt_5", "", &BDT_MTpeak_T2tt_5 , rebinning);
screwdriver.AddRegion("BDT_MTpeak_T2bw075_1", "", &BDT_MTpeak_T2bw075_1, rebinning);
screwdriver.AddRegion("BDT_MTpeak_T2bw075_2", "", &BDT_MTpeak_T2bw075_2, rebinning);
screwdriver.AddRegion("BDT_MTpeak_T2bw075_3", "", &BDT_MTpeak_T2bw075_3, rebinning);
screwdriver.AddRegion("BDT_MTpeak_T2bw075_5", "", &BDT_MTpeak_T2bw075_5, rebinning);
screwdriver.AddRegion("BDT_MTpeak_T2bw050_1", "", &BDT_MTpeak_T2bw050_1, rebinning);
screwdriver.AddRegion("BDT_MTpeak_T2bw050_3", "", &BDT_MTpeak_T2bw050_3, rebinning);
screwdriver.AddRegion("BDT_MTpeak_T2bw050_4", "", &BDT_MTpeak_T2bw050_4, rebinning);
screwdriver.AddRegion("BDT_MTpeak_T2bw050_5", "", &BDT_MTpeak_T2bw050_5, rebinning);
screwdriver.AddRegion("BDT_MTpeak_T2bw050_6", "", &BDT_MTpeak_T2bw050_6, rebinning);
screwdriver.AddRegion("BDT_MTpeak_T2bw025_1", "", &BDT_MTpeak_T2bw025_1, rebinning);
screwdriver.AddRegion("BDT_MTpeak_T2bw025_3", "", &BDT_MTpeak_T2bw025_3, rebinning);
screwdriver.AddRegion("BDT_MTpeak_T2bw025_4", "", &BDT_MTpeak_T2bw025_4, rebinning);
screwdriver.AddRegion("BDT_MTpeak_T2bw025_6", "", &BDT_MTpeak_T2bw025_6, rebinning);
screwdriver.AddRegion("BDT_MTPeakNoBtag_T2tt_1", "", &BDT_MTPeakNoBtag_T2tt_1 , rebinning);
screwdriver.AddRegion("BDT_MTPeakNoBtag_T2tt_2", "", &BDT_MTPeakNoBtag_T2tt_2 , rebinning);
screwdriver.AddRegion("BDT_MTPeakNoBtag_T2tt_5", "", &BDT_MTPeakNoBtag_T2tt_5 , rebinning);
screwdriver.AddRegion("BDT_MTPeakNoBtag_T2bw075_1", "", &BDT_MTPeakNoBtag_T2bw075_1, rebinning);
screwdriver.AddRegion("BDT_MTPeakNoBtag_T2bw075_2", "", &BDT_MTPeakNoBtag_T2bw075_2, rebinning);
screwdriver.AddRegion("BDT_MTPeakNoBtag_T2bw075_3", "", &BDT_MTPeakNoBtag_T2bw075_3, rebinning);
screwdriver.AddRegion("BDT_MTPeakNoBtag_T2bw075_5", "", &BDT_MTPeakNoBtag_T2bw075_5, rebinning);
screwdriver.AddRegion("BDT_MTPeakNoBtag_T2bw050_1", "", &BDT_MTPeakNoBtag_T2bw050_1, rebinning);
screwdriver.AddRegion("BDT_MTPeakNoBtag_T2bw050_3", "", &BDT_MTPeakNoBtag_T2bw050_3, rebinning);
screwdriver.AddRegion("BDT_MTPeakNoBtag_T2bw050_4", "", &BDT_MTPeakNoBtag_T2bw050_4, rebinning);
screwdriver.AddRegion("BDT_MTPeakNoBtag_T2bw050_5", "", &BDT_MTPeakNoBtag_T2bw050_5, rebinning);
screwdriver.AddRegion("BDT_MTPeakNoBtag_T2bw050_6", "", &BDT_MTPeakNoBtag_T2bw050_6, rebinning);
screwdriver.AddRegion("BDT_MTPeakNoBtag_T2bw025_1", "", &BDT_MTPeakNoBtag_T2bw025_1, rebinning);
screwdriver.AddRegion("BDT_MTPeakNoBtag_T2bw025_3", "", &BDT_MTPeakNoBtag_T2bw025_3, rebinning);
screwdriver.AddRegion("BDT_MTPeakNoBtag_T2bw025_4", "", &BDT_MTPeakNoBtag_T2bw025_4, rebinning);
screwdriver.AddRegion("BDT_MTPeakNoBtag_T2bw025_6", "", &BDT_MTPeakNoBtag_T2bw025_6, rebinning);
screwdriver.AddRegion("BDT_MTPeakOneBtag_T2tt_1", "", &BDT_MTPeakOneBtag_T2tt_1 , rebinning);
screwdriver.AddRegion("BDT_MTPeakOneBtag_T2tt_2", "", &BDT_MTPeakOneBtag_T2tt_2 , rebinning);
screwdriver.AddRegion("BDT_MTPeakOneBtag_T2tt_5", "", &BDT_MTPeakOneBtag_T2tt_5 , rebinning);
screwdriver.AddRegion("BDT_MTPeakOneBtag_T2bw075_1", "", &BDT_MTPeakOneBtag_T2bw075_1 , rebinning);
screwdriver.AddRegion("BDT_MTPeakOneBtag_T2bw075_2", "", &BDT_MTPeakOneBtag_T2bw075_2 , rebinning);
screwdriver.AddRegion("BDT_MTPeakOneBtag_T2bw075_3", "", &BDT_MTPeakOneBtag_T2bw075_3 , rebinning);
screwdriver.AddRegion("BDT_MTPeakOneBtag_T2bw075_5", "", &BDT_MTPeakOneBtag_T2bw075_5 , rebinning);
screwdriver.AddRegion("BDT_MTPeakOneBtag_T2bw050_1", "", &BDT_MTPeakOneBtag_T2bw050_1 , rebinning);
screwdriver.AddRegion("BDT_MTPeakOneBtag_T2bw050_3", "", &BDT_MTPeakOneBtag_T2bw050_3 , rebinning);
screwdriver.AddRegion("BDT_MTPeakOneBtag_T2bw050_4", "", &BDT_MTPeakOneBtag_T2bw050_4 , rebinning);
screwdriver.AddRegion("BDT_MTPeakOneBtag_T2bw050_5", "", &BDT_MTPeakOneBtag_T2bw050_5 , rebinning);
screwdriver.AddRegion("BDT_MTPeakOneBtag_T2bw050_6", "", &BDT_MTPeakOneBtag_T2bw050_6 , rebinning);
screwdriver.AddRegion("BDT_MTPeakOneBtag_T2bw025_1", "", &BDT_MTPeakOneBtag_T2bw025_1 , rebinning);
screwdriver.AddRegion("BDT_MTPeakOneBtag_T2bw025_3", "", &BDT_MTPeakOneBtag_T2bw025_3 , rebinning);
screwdriver.AddRegion("BDT_MTPeakOneBtag_T2bw025_4", "", &BDT_MTPeakOneBtag_T2bw025_4 , rebinning);
screwdriver.AddRegion("BDT_MTPeakOneBtag_T2bw025_6", "", &BDT_MTPeakOneBtag_T2bw025_6 , rebinning);
screwdriver.AddRegion("CR0btag_MTtail_MT_100", "", &goesIn0BtagControlRegionMTtail100);
screwdriver.AddRegion("CR0btag_MTtail_MT_120", "", &goesIn0BtagControlRegionMTtail120);
screwdriver.AddRegion("CR0btag_MTtail_MT_125", "", &goesIn0BtagControlRegionMTtail125);
screwdriver.AddRegion("CR0btag_MTtail_MT_130", "", &goesIn0BtagControlRegionMTtail130);
screwdriver.AddRegion("CR0btag_MTtail_MT_135", "", &goesIn0BtagControlRegionMTtail135);
screwdriver.AddRegion("CR0btag_MTtail_MT_140", "", &goesIn0BtagControlRegionMTtail140);
screwdriver.AddRegion("CR0btag_MTpeak_MET_200", "", &CR0btag_MTpeak_MET_200 );
screwdriver.AddRegion("CR0btag_MTpeak_MET_250", "", &CR0btag_MTpeak_MET_250 );
screwdriver.AddRegion("CR0btag_MTpeak_MET_300", "", &CR0btag_MTpeak_MET_300 );
screwdriver.AddRegion("CR0btag_MTpeak_MET_350", "", &CR0btag_MTpeak_MET_350 );
screwdriver.AddRegion("CR0btag_MTtail_MET_200", "", &CR0btag_MTtail_MET_200 );
screwdriver.AddRegion("CR0btag_MTtail_MET_250", "", &CR0btag_MTtail_MET_250 );
screwdriver.AddRegion("CR0btag_MTtail_MET_300", "", &CR0btag_MTtail_MET_300 );
screwdriver.AddRegion("CR0btag_MTtail_MET_350", "", &CR0btag_MTtail_MET_350 );
screwdriver.AddRegion("CR0btag_MTpeak_METoverSqrtHT_6" , "", &CR0btag_MTpeak_METoverSqrtHT_6 );
screwdriver.AddRegion("CR0btag_MTpeak_METoverSqrtHT_7" , "", &CR0btag_MTpeak_METoverSqrtHT_7 );
screwdriver.AddRegion("CR0btag_MTpeak_METoverSqrtHT_8" , "", &CR0btag_MTpeak_METoverSqrtHT_8 );
screwdriver.AddRegion("CR0btag_MTpeak_METoverSqrtHT_9" , "", &CR0btag_MTpeak_METoverSqrtHT_9 );
screwdriver.AddRegion("CR0btag_MTpeak_METoverSqrtHT_10", "", &CR0btag_MTpeak_METoverSqrtHT_10);
screwdriver.AddRegion("CR0btag_MTpeak_METoverSqrtHT_12", "", &CR0btag_MTpeak_METoverSqrtHT_12);
screwdriver.AddRegion("CR0btag_MTtail_METoverSqrtHT_6" , "", &CR0btag_MTtail_METoverSqrtHT_6 );
screwdriver.AddRegion("CR0btag_MTtail_METoverSqrtHT_7" , "", &CR0btag_MTtail_METoverSqrtHT_7 );
screwdriver.AddRegion("CR0btag_MTtail_METoverSqrtHT_8" , "", &CR0btag_MTtail_METoverSqrtHT_8 );
screwdriver.AddRegion("CR0btag_MTtail_METoverSqrtHT_9" , "", &CR0btag_MTtail_METoverSqrtHT_9 );
screwdriver.AddRegion("CR0btag_MTtail_METoverSqrtHT_10", "", &CR0btag_MTtail_METoverSqrtHT_10);
screwdriver.AddRegion("CR0btag_MTtail_METoverSqrtHT_12", "", &CR0btag_MTtail_METoverSqrtHT_12);
screwdriver.AddRegion("CR0btag_MTpeak_BPt_100" , "", &CR0btag_MTpeak_BPt_100 );
screwdriver.AddRegion("CR0btag_MTpeak_BPt_150" , "", &CR0btag_MTpeak_BPt_150 );
screwdriver.AddRegion("CR0btag_MTpeak_BPt_180" , "", &CR0btag_MTpeak_BPt_180 );
screwdriver.AddRegion("CR0btag_MTtail_BPt_100" , "", &CR0btag_MTtail_BPt_100 );
screwdriver.AddRegion("CR0btag_MTtail_BPt_180" , "", &CR0btag_MTtail_BPt_180 );
screwdriver.AddRegion("CR0btag_MTpeak_DPhi_02" , "", &CR0btag_MTpeak_DPhi_02 );
screwdriver.AddRegion("CR0btag_MTpeak_DPhi_08" , "", &CR0btag_MTpeak_DPhi_08 );
screwdriver.AddRegion("CR0btag_MTtail_DPhi_02" , "", &CR0btag_MTtail_DPhi_02 );
screwdriver.AddRegion("CR0btag_MTtail_DPhi_08" , "", &CR0btag_MTtail_DPhi_08 );
screwdriver.AddRegion("CR0btag_MTpeak_ISRJet" , "", &CR0btag_MTpeak_ISRJet );
screwdriver.AddRegion("CR0btag_MTtail_ISRJet" , "", &CR0btag_MTtail_ISRJet );
screwdriver.AddRegion("CR0btag_MTpeak_MT2W_180", "", &CR0btag_MTpeak_MT2W_180 );
screwdriver.AddRegion("CR0btag_MTpeak_MT2W_190", "", &CR0btag_MTpeak_MT2W_190 );
screwdriver.AddRegion("CR0btag_MTpeak_MT2W_200", "", &CR0btag_MTpeak_MT2W_200 );
screwdriver.AddRegion("CR0btag_MTtail_MT2W_180", "", &CR0btag_MTtail_MT2W_180 );
screwdriver.AddRegion("CR0btag_MTtail_MT2W_190", "", &CR0btag_MTtail_MT2W_190 );
screwdriver.AddRegion("CR0btag_MTtail_MT2W_200", "", &CR0btag_MTtail_MT2W_200 );
// ##########################
// ## Create Channels ##
// ##########################
screwdriver.AddChannel("singleLepton", "e/#mu-channels", &goesInSingleLeptonChannel);
// ########################################
// ## Create histograms and ##
// ## schedule type of plots to produce ##
// ########################################
// Create histograms
screwdriver.Create1DHistos();
// Schedule plots
screwdriver.SchedulePlots("1DDataMCComparison");
screwdriver.SchedulePlots("1DSuperimposed");
// Config plots
screwdriver.SetGlobalStringOption("Plot", "infoTopRight", "CMS Internal");
screwdriver.SetGlobalStringOption("Plot", "infoTopLeft", "#sqrt{s} = 8 TeV, L = 19.5 fb^{-1}");
screwdriver.SetGlobalBoolOption("Plot", "exportPdf", true);
screwdriver.SetGlobalBoolOption("Plot", "exportEps", false);
screwdriver.SetGlobalBoolOption("Plot", "exportPng", false);
// ########################################
// ## Run over the datasets ##
// ########################################
vector<string> datasetsList;
screwdriver.GetDatasetList(&datasetsList);
cout << " > Reading datasets... " << endl;
cout << endl;
for (unsigned int d = 0 ; d < datasetsList.size() ; d++)
{
string currentDataset = datasetsList[d];
string currentProcessClass = screwdriver.GetProcessClass(currentDataset);
sampleName = currentDataset;
sampleType = screwdriver.GetProcessClassType(currentProcessClass);
// Open the tree
TFile f((string(FOLDER_BABYTUPLES)+currentDataset+".root").c_str());
TTree* theTree = (TTree*) f.Get("babyTuple");
intermediatePointers pointers;
InitializeBranchesForReading(theTree,&myEvent,&pointers);
// ########################################
// ## Run over the events ##
// ########################################
bool ttbarDatasetToBeSplitted = false;
if (findSubstring(currentDataset,"ttbar")
&& (currentDataset != "ttbar_madgraph_1l")
&& (currentDataset != "ttbar_madgraph_2l"))
ttbarDatasetToBeSplitted = true;
int nEntries = theTree->GetEntries();
for (int i = 0 ; i < nEntries ; i++)
{
if (i % (nEntries / 50) == 0) printProgressBar(i,nEntries,currentDataset);
// Get the i-th entry
ReadEvent(theTree,i,&pointers,&myEvent);
float weight = getWeight();
// Split 1-lepton ttbar and 2-lepton ttbar
string currentProcessClass_ = currentProcessClass;
if (ttbarDatasetToBeSplitted && (myEvent.numberOfGenLepton == 2))
currentProcessClass_ = "ttbar_2l";
// FIXME Why managing overflow this way ?
// It's already done on the plot automatically...
nJets = myEvent.nJets;
if(myEvent.nJets >6 ) nJets = 6;
screwdriver.AutoFillProcessClass(currentProcessClass_,weight);
}
printProgressBar(nEntries,nEntries,currentDataset);
cout << endl;
f.Close();
}
// ###################################
// ## Make plots and write them ##
// ###################################
cout << endl;
cout << " > Making plots..." << endl;
screwdriver.MakePlots();
cout << " > Saving plots..." << endl;
// TODO : if we need to redo tests for different ttbar sample,
// move the plots to a separate folder with the name of the alternative sample
screwdriver.WritePlots(string("./inputPlots/"));
printBoxedMessage("Plot generation completed");
// #############################
// ## Post-plotting tests ##
// #############################
printBoxedMessage("Program done.");
return (0);
}
double Overnight::calculateCost()const
{
return getWeight() * ( getCostPerOz()+getOvernightFeePerOz());
}
