bool Bezier::checkForProblems() const {
MathVector<float,3> corners[4];
corners[0] = points[0][0];
corners[1] = points[0][3];
corners[2] = points[3][3];
corners[3] = points[3][0];
bool problem = false;
for (int i = 0; i < 4; ++i) {
MathVector<float, 3> leg1(corners[(i+1)%4] - corners[i]);
MathVector<float, 3> leg2(corners[(i+2)%4] - corners[i]);
MathVector<float, 3> leg3(corners[(i+3)%4] - corners[i]);
MathVector<float, 3> dir1 = leg1.cross(leg2);
MathVector<float, 3> dir2 = leg1.cross(leg3);
MathVector<float, 3> dir3 = leg2.cross(leg3);
if (dir1.dot(dir2) < -0.0001) problem = true;
if (dir1.dot(dir3) < -0.0001) problem = true;
if (dir3.dot(dir2) < -0.0001) problem = true;
}
return problem;
}
bool BEZIER::CheckForProblems() const
{
//MATHVECTOR<float,3> fl (points[0][0]), fr(points[0][3]), br(points[3][3]), bl(points[3][0]);
MATHVECTOR<float,3> corners[4];
corners[0] = points[0][0];
corners[1] = points[0][3];
corners[2] = points[3][3];
corners[3] = points[3][0];
bool problem = false;
for (int i = 0; i < 4; i++)
{
MATHVECTOR<float,3> leg1(corners[(i+1)%4] - corners[i]);
MATHVECTOR<float,3> leg2(corners[(i+2)%4] - corners[i]);
MATHVECTOR<float,3> leg3(corners[(i+3)%4] - corners[i]);
MATHVECTOR<float,3> dir1 = leg1.cross(leg2);
MATHVECTOR<float,3> dir2 = leg1.cross(leg3);
MATHVECTOR<float,3> dir3 = leg2.cross(leg3);
if (dir1.dot(dir2) < -0.0001)
problem = true;
if (dir1.dot(dir3) < -0.0001)
problem = true;
if (dir3.dot(dir2) < -0.0001)
problem = true;
/*if (problem)
{
std::cout << *this;
std::cout << "i: " << i << ", " << (i+1)%4 << ", " << (i+2)%4 << std::endl;
std::cout << corners[0] << std::endl;
std::cout << corners[1] << std::endl;
std::cout << corners[2] << std::endl;
std::cout << corners[3] << std::endl;
std::cout << leg1 << std::endl;
std::cout << leg2 << std::endl;
std::cout << dir1 << std::endl;
std::cout << dir1.dot(dir2) << ", " <<dir1.dot(dir3) << ", " << dir3.dot(dir2) <<std::endl;
}*/
}
//if (problem) cout << "Degenerate bezier patch detected" << endl;
return problem;
}
void plot(const char* type = "eps")
{
gROOT->ProcessLine(".x ../../style.C");
TFile *f = new TFile("../../SharedRootFiles/Osc.root");
TH1D *data[6];
TH1D *predOsc[6];
TH1D *acc[6];
TH1D *li9[6];
TH1D *fsn[6];
TH1D *afn[6];
TH1D *amc[6];
data[0] = (TH1D*)f->Get("ibd_spectrum_site1_det1");
data[1] = (TH1D*)f->Get("ibd_spectrum_site1_det2");
data[2] = (TH1D*)f->Get("ibd_spectrum_site2_det1");
data[3] = (TH1D*)f->Get("ibd_spectrum_site4_det1");
data[4] = (TH1D*)f->Get("ibd_spectrum_site4_det2");
data[5] = (TH1D*)f->Get("ibd_spectrum_site4_det3");
predOsc[0] = (TH1D*)f->Get("total_spectrum_expected_AD1");
predOsc[1] = (TH1D*)f->Get("total_spectrum_expected_AD2");
predOsc[2] = (TH1D*)f->Get("total_spectrum_expected_AD3");
predOsc[3] = (TH1D*)f->Get("total_spectrum_expected_AD4");
predOsc[4] = (TH1D*)f->Get("total_spectrum_expected_AD5");
predOsc[5] = (TH1D*)f->Get("total_spectrum_expected_AD6");
acc[0] = (TH1D*)f->Get("acc_spectrum_expected_AD1");
acc[1] = (TH1D*)f->Get("acc_spectrum_expected_AD2");
acc[2] = (TH1D*)f->Get("acc_spectrum_expected_AD3");
acc[3] = (TH1D*)f->Get("acc_spectrum_expected_AD4");
acc[4] = (TH1D*)f->Get("acc_spectrum_expected_AD5");
acc[5] = (TH1D*)f->Get("acc_spectrum_expected_AD6");
li9[0] = (TH1D*)f->Get("li9he8_spectrum_expected_AD1");
li9[1] = (TH1D*)f->Get("li9he8_spectrum_expected_AD2");
li9[2] = (TH1D*)f->Get("li9he8_spectrum_expected_AD3");
li9[3] = (TH1D*)f->Get("li9he8_spectrum_expected_AD4");
li9[4] = (TH1D*)f->Get("li9he8_spectrum_expected_AD5");
li9[5] = (TH1D*)f->Get("li9he8_spectrum_expected_AD6");
fsn[0] = (TH1D*)f->Get("fastn_spectrum_expected_AD1");
fsn[1] = (TH1D*)f->Get("fastn_spectrum_expected_AD2");
fsn[2] = (TH1D*)f->Get("fastn_spectrum_expected_AD3");
fsn[3] = (TH1D*)f->Get("fastn_spectrum_expected_AD4");
fsn[4] = (TH1D*)f->Get("fastn_spectrum_expected_AD5");
fsn[5] = (TH1D*)f->Get("fastn_spectrum_expected_AD6");
amc[0] = (TH1D*)f->Get("amc_spectrum_expected_AD1");
amc[1] = (TH1D*)f->Get("amc_spectrum_expected_AD2");
amc[2] = (TH1D*)f->Get("amc_spectrum_expected_AD3");
amc[3] = (TH1D*)f->Get("amc_spectrum_expected_AD4");
amc[4] = (TH1D*)f->Get("amc_spectrum_expected_AD5");
amc[5] = (TH1D*)f->Get("amc_spectrum_expected_AD6");
afn[0] = (TH1D*)f->Get("alphan_spectrum_expected_AD1");
afn[1] = (TH1D*)f->Get("alphan_spectrum_expected_AD2");
afn[2] = (TH1D*)f->Get("alphan_spectrum_expected_AD3");
afn[3] = (TH1D*)f->Get("alphan_spectrum_expected_AD4");
afn[4] = (TH1D*)f->Get("alphan_spectrum_expected_AD5");
afn[5] = (TH1D*)f->Get("alphan_spectrum_expected_AD6");
TH1D *data_site1 = data[0]->Clone("data_site1");
data_site1->GetXaxis()->SetTitle("Prompt Energy [MeV]");
data_site1->GetYaxis()->SetTitle("Events / 50KeV");
data_site1->SetTitle("IBDs at EH1");
TH1D *data_site2 = data[2]->Clone("data_site2");
data_site2->GetXaxis()->SetTitle("Prompt Energy [MeV]");
data_site2->GetYaxis()->SetTitle("Events / 50KeV");
data_site2->SetTitle("IBDs at EH2");
TH1D *data_site3 = data[3]->Clone("data_site3");
data_site3->GetXaxis()->SetTitle("Prompt Energy [MeV]");
data_site3->GetYaxis()->SetTitle("Events / 50KeV");
data_site3->SetTitle("IBDs at EH3");
TH1D *pred_site1 = predOsc[0]->Clone("pred_site1");
THStack *hs_site1 = new THStack("hs_site1", "");
TH1D *acc_site1 = acc[0]->Clone("acc_site1");
TH1D *li9_site1 = li9[0]->Clone("li9_site1");
TH1D *fsn_site1 = fsn[0]->Clone("fsn_site1");
TH1D *amc_site1 = amc[0]->Clone("amc_site1");
TH1D *afn_site1 = afn[0]->Clone("afn_site1");
TH1D *pred_site2 = predOsc[2]->Clone("pred_site2");
THStack *hs_site2 = new THStack("hs_site2", "");
TH1D *acc_site2 = acc[2]->Clone("acc_site2");
TH1D *li9_site2 = li9[2]->Clone("li9_site2");
TH1D *fsn_site2 = fsn[2]->Clone("fsn_site2");
TH1D *amc_site2 = amc[2]->Clone("amc_site2");
TH1D *afn_site2 = afn[2]->Clone("afn_site2");
TH1D *pred_site3 = predOsc[3]->Clone("pred_site3");
THStack *hs_site3 = new THStack("hs_site3", "");
TH1D *acc_site3 = acc[3]->Clone("acc_site3");
TH1D *li9_site3 = li9[3]->Clone("li9_site3");
TH1D *fsn_site3 = fsn[3]->Clone("fsn_site3");
TH1D *amc_site3 = amc[3]->Clone("amc_site3");
TH1D *afn_site3 = afn[3]->Clone("afn_site3");
data_site1->Reset();
pred_site1->Reset();
acc_site1->Reset();
li9_site1->Reset();
fsn_site1->Reset();
amc_site1->Reset();
afn_site1->Reset();
data_site2->Reset();
pred_site2->Reset();
acc_site2->Reset();
li9_site2->Reset();
fsn_site2->Reset();
amc_site2->Reset();
afn_site2->Reset();
data_site3->Reset();
pred_site3->Reset();
acc_site3->Reset();
li9_site3->Reset();
fsn_site3->Reset();
amc_site3->Reset();
afn_site3->Reset();
pred_site1->SetLineColor(2);
pred_site1->SetMarkerColor(2);
acc_site1->SetLineColor(9);
acc_site1->SetMarkerColor(9);
acc_site1->SetFillColor(9);
li9_site1->SetLineColor(5);
li9_site1->SetMarkerColor(5);
li9_site1->SetFillColor(5);
fsn_site1->SetLineColor(6);
fsn_site1->SetMarkerColor(6);
fsn_site1->SetFillColor(6);
amc_site1->SetLineColor(7);
amc_site1->SetMarkerColor(7);
amc_site1->SetFillColor(7);
afn_site1->SetLineColor(8);
afn_site1->SetLineColor(8);
afn_site1->SetFillColor(8);
pred_site2->SetLineColor(2);
pred_site2->SetMarkerColor(2);
acc_site2->SetLineColor(9);
acc_site2->SetMarkerColor(9);
acc_site2->SetFillColor(9);
li9_site2->SetLineColor(5);
li9_site2->SetMarkerColor(5);
li9_site2->SetFillColor(5);
fsn_site2->SetLineColor(6);
fsn_site2->SetMarkerColor(6);
fsn_site2->SetFillColor(6);
amc_site2->SetLineColor(7);
amc_site2->SetMarkerColor(7);
amc_site2->SetFillColor(7);
afn_site2->SetLineColor(8);
afn_site2->SetLineColor(8);
afn_site2->SetFillColor(8);
pred_site3->SetLineColor(2);
pred_site3->SetMarkerColor(2);
acc_site3->SetLineColor(9);
acc_site3->SetMarkerColor(9);
acc_site3->SetFillColor(9);
li9_site3->SetLineColor(5);
li9_site3->SetMarkerColor(5);
li9_site3->SetFillColor(5);
fsn_site3->SetLineColor(6);
fsn_site3->SetMarkerColor(6);
fsn_site3->SetFillColor(6);
amc_site3->SetLineColor(7);
amc_site3->SetMarkerColor(7);
amc_site3->SetFillColor(7);
afn_site3->SetLineColor(8);
afn_site3->SetLineColor(8);
afn_site3->SetFillColor(8);
for (int i=0; i<2; i++) {
data_site1->Add(data[i]);
pred_site1->Add(predOsc[i]);
acc_site1->Add(acc[i]);
li9_site1->Add(li9[i]);
fsn_site1->Add(fsn[i]);
amc_site1->Add(amc[i]);
afn_site1->Add(afn[i]);
}
for (int i=2; i<3; i++) {
data_site2->Add(data[i]);
pred_site2->Add(predOsc[i]);
acc_site2->Add(acc[i]);
li9_site2->Add(li9[i]);
fsn_site2->Add(fsn[i]);
amc_site2->Add(amc[i]);
afn_site2->Add(afn[i]);
}
for (int i=3; i<6; i++) {
data_site3->Add(data[i]);
pred_site3->Add(predOsc[i]);
acc_site3->Add(acc[i]);
li9_site3->Add(li9[i]);
fsn_site3->Add(fsn[i]);
amc_site3->Add(amc[i]);
afn_site3->Add(afn[i]);
}
hs_site1->Add(fsn_site1);
hs_site1->Add(afn_site1);
hs_site1->Add(amc_site1);
hs_site1->Add(li9_site1);
hs_site1->Add(acc_site1);
hs_site2->Add(fsn_site2);
hs_site2->Add(afn_site2);
hs_site2->Add(amc_site2);
hs_site2->Add(li9_site2);
hs_site2->Add(acc_site2);
hs_site3->Add(fsn_site3);
hs_site3->Add(afn_site3);
hs_site3->Add(amc_site3);
hs_site3->Add(li9_site3);
hs_site3->Add(acc_site3);
TCanvas c1("c1", "c1", 800, 800);
TPad *can_1 = new TPad("can_1", "can_1",0, 0.66, 1, 0.99);
TPad *can_2 = new TPad("can_2", "can_2",0, 0.33, 1, 0.66);
TPad *can_3 = new TPad("can_3", "can_3",0, 0, 1, 0.33);
can_1->Draw();
can_1->cd();
can_1->SetBottomMargin(1e-05);
can_1->SetFrameBorderMode(0);
can_1->SetBorderMode(0);
data_site1->Draw();
data_site1->SetTitle("");
hs_site1->Draw("same");
data_site1->Draw("same");
// pred_site1->Draw("same");
data_site1->GetXaxis()->SetLabelSize(0.09);
data_site1->GetYaxis()->SetNdivisions(508);
data_site1->GetYaxis()->SetTitleSize(0.08);
data_site1->GetYaxis()->SetLabelSize(0.08);
data_site1->GetYaxis()->SetTitleOffset(0.6);
data_site1->GetYaxis()->CenterTitle(true);
TLegend leg(0.65,0.85-0.20,0.85,0.85);
leg.AddEntry(data_site1, " EH1", "lp");
leg.AddEntry(acc_site1, " Acc. Bkgd", "f");
leg.SetFillColor(kWhite);
leg.Draw();
can_1->Modified();
c1.cd();
can_2->Draw();
can_2->cd();
can_2->SetTopMargin(1e-05);
can_2->SetBottomMargin(1e-05);
can_2->SetFrameBorderMode(0);
can_2->SetBorderMode(0);
data_site2->Draw();
hs_site2->Draw("same");
data_site2->SetTitle("");
// data_site2->Draw("same");
// pred_site2->Draw("same");
data_site2->GetXaxis()->SetLabelSize(0.09);
data_site2->GetYaxis()->SetNdivisions(508);
data_site2->GetYaxis()->SetTitleSize(0.08);
data_site2->GetYaxis()->SetLabelSize(0.08);
data_site2->GetYaxis()->SetTitleOffset(0.6);
data_site2->GetYaxis()->CenterTitle(true);
TLegend leg2(0.65,0.85-0.20,0.85,0.85);
leg2.AddEntry(data_site2, " EH2", "lp");
leg2.AddEntry(acc_site2, " Acc. Bkgd", "f");
leg2.SetFillColor(kWhite);
leg2.Draw();
can_2->Modified();
c1.cd();
can_3->Draw();
can_3->cd();
can_3->SetTopMargin(1e-05);
can_3->SetFrameBorderMode(0);
can_3->SetBottomMargin(0.3);
can_3->SetBorderMode(0);
data_site3->Draw();
hs_site3->Draw("same");
data_site3->SetTitle("");
// data_site3->Draw("same");
// pred_site3->Draw("same");
data_site3->GetXaxis()->SetTitle("Reconstructed Energy [MeV]");
data_site3->GetXaxis()->SetTitleSize(0.09);
data_site3->GetXaxis()->SetTitleOffset(1.45);
data_site3->GetXaxis()->SetLabelSize(0.09);
data_site3->GetXaxis()->Draw();
data_site3->GetYaxis()->SetNdivisions(508);
data_site3->GetYaxis()->SetLabelSize(0.08);
data_site3->GetYaxis()->SetTitleSize(0.08);
data_site3->GetYaxis()->SetTitleOffset(0.6);
data_site3->GetYaxis()->CenterTitle(true);
can_3->RedrawAxis();
TLegend leg3(0.65,0.85-0.20,0.85,0.85);
leg3.AddEntry(data_site3, " EH3", "lp");
leg3.AddEntry(acc_site3, " Acc. Bkgd", "f");
leg3.SetFillColor(kWhite);
leg3.Draw();
can_3->Modified();
c1.cd();
TString name("SpectraSite");
// print 3 figures by default
c1.SaveAs(name + ".eps");
c1.SaveAs(name + ".pdf");
c1.SaveAs(name + ".png");
TString extra(type);
if (! (extra == "eps" || extra == "pdf" || extra == "png")) {
c1.SaveAs(name + "." + type);
}
}
// ################################################
double NeuralNetwork::LearnGivenData(int MiniBatchSize, int epochs, int TrainingsSize, bool TestOnTrainingsData, bool TestOnTestingData, std::string SavePath){
TCanvas c1("Accuracy", "Accuracy", 600, 500);
TCanvas c2("Cost", "Cost", 600, 500);
TCanvas c3("summary", "summary", 1200, 500);
c3.SetGrid();
c3.Divide(2);
c1.cd();
TH1F axis("axis", "Accuracy of Neural Network;epochs", epochs, 0.5, epochs+0.5);
TH1F acc_test ("acc_test" , "Classification accuracy", epochs, 0.5, epochs+0.5);
TH1F acc_train("acc_train", "Classification accuracy", epochs, 0.5, epochs+0.5);
TH1F axis2("axis2", "Cost Function of Neural Network;epochs", epochs, 0.5, epochs+0.5);
TH1F cost_test ("cost_test" , "Cost Function", epochs, 0.5, epochs+0.5);
TH1F cost_train("cost_train", "Cost Function", epochs, 0.5, epochs+0.5);
if (TrainingsSize == -1) TrainingsSize = fTrainingsSize;
for (int k = 0; k < epochs; ++k){
// if (k % 5 == 0) std::cout << "Epoch nr. " << k << " started!" << std::endl;
for (int i = 0; i < TrainingsSize / MiniBatchSize; ++i){
for (int j = 0; j < MiniBatchSize; ++j){
SetInputVectorInMiniBatch(fTrainingsdata[i*10 + j], fTrainingslabel[i*10 + j]);
}
LearnMiniBatches();
}
if (TestOnTestingData){
double correct = 0;
double cost = 0;
for (int i = 0; i < fTestingSize; ++i){
if (Evaluate(fTestingdata[i], fTestinglabel[i]) == true) correct++;
cost += EvaluateCost(fTestingdata[i], fTestinglabel[i]);
}
// std::cout << "Accuracy of test data: " << correct / fTestingSize << " %"<< std::endl;
acc_test.SetBinContent(k+1, correct / fTestingSize);
cost_test.SetBinContent(k+1, cost / fTestingSize);
}
if (TestOnTrainingsData){
double correct = 0;
double cost = 0;
for (int i = 0; i < TrainingsSize; ++i){
if (Evaluate(fTrainingsdata[i], fTrainingslabel[i]) == true) correct++;
cost += EvaluateCost(fTrainingsdata[i], fTrainingslabel[i]);
}
// std::cout << "Accuracy of trainings data: " << correct / TrainingsSize << " %" << std::endl;
acc_train.SetBinContent(k+1, correct / TrainingsSize);
cost_train.SetBinContent(k+1, cost / fTrainingsSize);
}
}
axis.SetStats(false);
axis.GetYaxis()->SetNdivisions(524);
axis.SetAxisRange(0.5, 1.1, "Y");
axis.Draw("");
double markersize = 1;
if (epochs > 100) {
markersize = 0.5;
c1.SetLogx();
}
acc_test.SetStats(false);
acc_test.SetMarkerStyle(20);
acc_test.SetMarkerColor(kOrange-3);
acc_test.SetMarkerSize(1.);
acc_test.Draw("p same");
acc_train.SetStats(false);
acc_train.SetMarkerStyle(20);
acc_train.SetMarkerColor(kAzure-2);
acc_train.SetMarkerSize(1.);
acc_train.Draw("p same");
// c1.SetLogx();
c1.SetGrid();
// Calculate maxima
double max_trainingsdata = acc_train.GetMaximum();
double max_testdata = acc_test.GetMaximum();
TLegend leg(0.4,0.1,0.9,0.3);
leg.SetHeader("Accuracy of");
leg.AddEntry(&acc_test, Form("Test data (Maximum: %4.3f)", max_testdata), "p");
leg.AddEntry(&acc_train, Form("Trainings data (Maximum: %4.3f)", max_trainingsdata), "p");
leg.Draw("same");
c1.SaveAs(Form("%saccuracy.pdf", SavePath.c_str()));
c2.cd();
axis2.SetStats(false);
axis2.GetYaxis()->SetNdivisions(524);
axis2.SetAxisRange(cost_train.GetMinimum()*0.9, cost_test.GetMaximum()*1.1, "Y");
axis2.Draw("");
if (epochs > 100) {
markersize = 0.5;
c2.SetLogx();
}
cost_train.SetStats(false);
cost_train.SetMarkerStyle(20);
cost_train.SetMarkerColor(kAzure-2);
cost_train.SetMarkerSize(1.);
cost_train.Draw("p same");
cost_test.SetStats(false);
cost_test.SetMarkerStyle(20);
cost_test.SetMarkerColor(kOrange-3);
cost_test.SetMarkerSize(1.);
cost_test.Draw("p same");
// c1.SetLogx();
c2.SetGrid();
// Calculate maxima
double min_trainingsdata = cost_train.GetMinimum();
double min_testdata = cost_test.GetMinimum();
TLegend leg2(0.4,0.7,0.9,0.9);
leg2.SetHeader("Cost Function");
leg2.AddEntry(&acc_test, Form("Test data (Minimum: %4.3f)", min_testdata), "p");
leg2.AddEntry(&acc_train, Form("Trainings data (Minimum: %4.3f)", min_trainingsdata), "p");
leg2.Draw("same");
c2.SaveAs(Form("%scost.pdf", SavePath.c_str()));
c3.cd(1);
axis.Draw("");
acc_test.Draw("p same");
acc_train.Draw("p same");
leg.Draw("same");
c3.cd(2);
axis2.Draw("");
cost_test.Draw("p same");
cost_train.Draw("p same");
leg2.Draw("same");
c3.SaveAs(Form("%ssummary.pdf", SavePath.c_str()));
// std::cout << "Learning completed" << std::endl;
return max_testdata;
}
int main(int argc, char* argv[]) {
TH1::SetDefaultSumw2();
ProgramOptions options(argc, argv);
double lumi = options.lumi;
// input datasets
Datasets datasets(options.iDir);
datasets.readFile(options.datasetFile);
// output file
TFile* ofile = TFile::Open( (options.oDir+std::string("/ZMuMufromW.root")).c_str(), "RECREATE");
std::string oDir = options.oDir + std::string("/ZmumuFromW");
if (oDir!="") {
boost::filesystem::path opath(oDir);
if (!exists(opath)) {
std::cout << "Creating output directory : " << oDir << std::endl;
boost::filesystem::create_directory(opath);
}
std::cout << "Writing results to " << oDir << std::endl;
}
// cuts
Cuts cuts;
unsigned nCutsZMuMu = cuts.nCutsZMuMu();
TCut puWeight("puWeight");
TCut trigCorr( "(trigCorrWeight>0) ? trigCorrWeight : 1." );
// For lepton weights
TCut muTightWeight = cuts.muTightWeight(options.leptCorr);
TCut lVetoWeight = cuts.elVetoWeight(options.leptCorr) * cuts.muVetoWeight(options.leptCorr);
TCut METNo2Muon130("metNo2Muon>130.");
TCut cutLoDPhi = cuts.cut("dPhiJJ");
TCut cutHiDPhi("vbfDPhi>2.6");
TCut cutMe1DPhi("vbfDPhi>1.0 && vbfDPhi<=1.8");
TCut cutMe2DPhi("vbfDPhi>1.8 && vbfDPhi<=2.6");
// histograms
double dphiEdges[5] = { 0., 1.0, 1.8, 2.6, TMath::Pi() };
// Observed signal MET>130
TH1D* hZ_DY_C_DPhi = new TH1D("hZ_DY_C_DPhi", "", 4, dphiEdges); // Z+jets MC ctrl region
TH1D* hZ_BG_ZC_DPhi = new TH1D("hZ_BG_ZC_DPhi", "", 4, dphiEdges); // background MC ctrl region
TH1D* hZ_Data_ZC_DPhi = new TH1D("hZ_Data_ZC_DPhi", "", 4, dphiEdges); // Data ctrl region
// Predicted from Wmunu
TH1D* hZ_W_C_DPhi = new TH1D("hZ_W_C_DPhi", "", 4, dphiEdges); // W+jets MC ctrl region
TH1D* hZ_BG_WC_DPhi = new TH1D("hZ_BG_WC_DPhi", "", 4, dphiEdges); // background MC ctrl region
TH1D* hZ_Data_WC_DPhi = new TH1D("hZ_Data_WC_DPhi", "", 4, dphiEdges); // Data W ctrl region
TH1D* hZ_W_EffMu_D = new TH1D("hZ_W_EffMu_D", "", 1, 0., 1.); // denominator of MuMu efficiency from DY(pT<100) + DY(pT>100) + DY_EWK samples
TH1D* hZ_W_EffMu_N = new TH1D("hZ_W_EffMu_N", "", 1, 0., 1.); // numerator of MuMu efficiency from DY(pT<100) + DY(pT>100) + DY_EWK samples
TH1D* hZ_DY_EffMuMu_D = new TH1D("hZ_DY_EffMuMu_D", "", 1, 0., 1.); // denominator of MuMu efficiency from DY + DY_EWK samples
TH1D* hZ_DY_EffMuMu_N = new TH1D("hZ_DY_EffMuMu_N", "", 1, 0., 1.); // numerator of MuMu efficiency from DY + DY_EWK samples
TH1D* hZ_DY_EffVBFS_D = new TH1D("hZ_DY_EffVBFS_D", "", 1, 0., 1.); // denominator of VBF(S) efficiency from DY(pT<100) + DY(pT>100) + DY_EWK samples
//TH1D* hZ_DY_EffVBFS_N = new TH1D("hZ_DY_EffVBFS_N", "", 1, 0., 1.); // numerator of VBF(S) efficiency from DY(pT<100) + DY(pT>100) + DY_EWK samples
TH1D* hZ_DY_EffVBFS_NLo = new TH1D("hZ_DY_EffVBFS_NLo", "", 1, 0., 1.);
TH1D* hZ_DY_EffVBFS_NHi = new TH1D("hZ_DY_EffVBFS_NHi", "", 1, 0., 1.);
TH1D* hZ_DY_EffVBFS_NMe1 = new TH1D("hZ_DY_EffVBFS_NMe1", "", 1, 0., 1.);
TH1D* hZ_DY_EffVBFS_NMe2 = new TH1D("hZ_DY_EffVBFS_NMe2", "", 1, 0., 1.);
TH1D* hZ_W_EffVBFC_D = new TH1D("hZ_W_EffVBFC_D", "", 1, 0., 1.); // denominator of VBF(C) efficiency from DY(pT<100) + DY(pT>100) + DY_EWK samples
//TH1D* hZ_W_EffVBFC_N = new TH1D("hZ_W_EffVBFC_N", "", 1, 0., 1.); // numerator of VBF(C) efficiency from DY(pT<100) + DY(pT>100) + DY_EWK samples
TH1D* hZ_W_EffVBFC_NLo = new TH1D("hZ_W_EffVBFC_NLo", "", 1, 0., 1.);
TH1D* hZ_W_EffVBFC_NHi = new TH1D("hZ_W_EffVBFC_NHi", "", 1, 0., 1.);
TH1D* hZ_W_EffVBFC_NMe1 = new TH1D("hZ_W_EffVBFC_NMe1", "", 1, 0., 1.);
TH1D* hZ_W_EffVBFC_NMe2 = new TH1D("hZ_W_EffVBFC_NMe2", "", 1, 0., 1.);
// loop over MC datasets
for (unsigned i=0; i<datasets.size(); ++i) {
Dataset dataset = datasets.getDataset(i);
TCut cutD = cuts.cutDataset(dataset.name);
TCut wWeight("");
// bit of a fudge for mutight weight - data doesn't have the var in it, so need to add an exception (see below)
// and then restore it for all other MC
muTightWeight=cuts.muTightWeight(options.leptCorr);
// check if it's DYJets
bool isDY = false;
bool isWJets = false;
bool isQCD = false;
bool isEwkW = false;
if (dataset.name.compare(0,2,"DY")==0) {
isDY = true;
std::cout << "Analysing DY->ll MC : " << dataset.name << std::endl;
}
else if (dataset.name == "WJets" ||
dataset.name == "W1Jets" ||
dataset.name == "W2Jets" ||
dataset.name == "W3Jets" ||
dataset.name == "W4Jets" ||
dataset.name == "EWK_Wp2Jets" ||
dataset.name == "EWK_Wm2Jets") {
if (dataset.name == "EWK_Wp2Jets" || dataset.name == "EWK_Wm2Jets") isEwkW = true;
else isWJets = true;
if(isWJets) wWeight = cuts.wWeight();
std::cout << "Analysing W MC : " << dataset.name << std::endl;
}
else if (dataset.name.compare(0,3,"QCD")==0) {
isQCD = true;
std::cout << "Analysing QCD : " << dataset.name << std::endl;
}
else if (dataset.isData) {
muTightWeight="";
std::cout << "Analysing Data : " << dataset.name << std::endl;
}
else {
std::cout << "Analysing BG MC : " << dataset.name << std::endl;
}
// get file & tree
TFile* file = datasets.getTFile(dataset.name);
TTree* tree = (TTree*) file->Get("invHiggsInfo/InvHiggsInfo");
// set up cuts
TCut otherCuts = puWeight * trigCorr * wWeight;
TCut cutZMuMu_C = otherCuts * muTightWeight * (cutD + cuts.zMuMuVBF() + METNo2Muon130);
TCut cutWMuNu_C = otherCuts * muTightWeight * (cutD + cuts.wMuVBF() + cuts.cutWMu("MET"));
// eps_mu from W trigger samples
TCut cutEfficiencyMu_D = otherCuts * (cutD + cuts.HLTandMETFilters() + cuts.wMuGen());
TCut cutEfficiencyMu_N = otherCuts * muTightWeight * (cutD + cuts.HLTandMETFilters() + cuts.wMuGen() + cuts.cutWMu("wMu"));
TCut cutEfficiencyMuMu_D = otherCuts * (cutD + cuts.HLTandMETFilters() + cuts.zMuMuGen());
TCut cutEfficiencyMuMu_N = otherCuts * muTightWeight * (cutD + cuts.HLTandMETFilters() + cuts.zMuMuGen() + cuts.zMuMuReco());
// eps_VBFS from DY-Trig
TCut cutEfficiencyVBFS_D = otherCuts * muTightWeight * (cutD + cuts.HLTandMETFilters() + cuts.zMuMuGen() + cuts.zMuMuReco());
//TCut cutEfficiencyVBFS_N = otherCuts * (cutD + cuts.HLTandMETFilters() + cuts.zMuMuGen() + cuts.zMuMuReco() + cuts.vbf() + METNo2Muon130);
TCut cutEfficiencyVBFS_NLoDPhi = otherCuts * muTightWeight * (cutD + cuts.HLTandMETFilters() + cuts.zMuMuGen() + cuts.zMuMuReco() + cuts.vbf() + METNo2Muon130 + cutLoDPhi);
TCut cutEfficiencyVBFS_NHiDPhi = otherCuts * muTightWeight * (cutD + cuts.HLTandMETFilters() + cuts.zMuMuGen() + cuts.zMuMuReco() + cuts.vbf() + METNo2Muon130 + cutHiDPhi);
TCut cutEfficiencyVBFS_NMe1DPhi = otherCuts * muTightWeight * (cutD + cuts.HLTandMETFilters() + cuts.zMuMuGen() + cuts.zMuMuReco() + cuts.vbf() + METNo2Muon130 + cutMe1DPhi);
TCut cutEfficiencyVBFS_NMe2DPhi = otherCuts * muTightWeight * (cutD + cuts.HLTandMETFilters() + cuts.zMuMuGen() + cuts.zMuMuReco() + cuts.vbf() + METNo2Muon130 + cutMe2DPhi);
// eps_VBFC from W
TCut cutEfficiencyVBFC_D = otherCuts * muTightWeight * (cutD + cuts.HLTandMETFilters() + cuts.wMuGen() + cuts.cutWMu("wMu"));
//TCut cutEfficiencyVBFC_N = otherCuts * (cutD + cuts.HLTandMETFilters() + cuts.wMuGen() + cuts.cutWMu("wMu") + cuts.vbf() + cuts.cutWMu("MET"));
TCut cutEfficiencyVBFC_NLoDPhi = otherCuts * muTightWeight * (cutD + cuts.HLTandMETFilters() + cuts.wMuGen() + cuts.cutWMu("wMu") + cuts.vbf() + cuts.cutWMu("MET") + cutLoDPhi);
TCut cutEfficiencyVBFC_NHiDPhi = otherCuts * muTightWeight * (cutD + cuts.HLTandMETFilters() + cuts.wMuGen() + cuts.cutWMu("wMu") + cuts.vbf() + cuts.cutWMu("MET") + cutHiDPhi);
TCut cutEfficiencyVBFC_NMe1DPhi = otherCuts * muTightWeight * (cutD + cuts.HLTandMETFilters() + cuts.wMuGen() + cuts.cutWMu("wMu") + cuts.vbf() + cuts.cutWMu("MET") + cutMe1DPhi);
TCut cutEfficiencyVBFC_NMe2DPhi = otherCuts * muTightWeight * (cutD + cuts.HLTandMETFilters() + cuts.wMuGen() + cuts.cutWMu("wMu") + cuts.vbf() + cuts.cutWMu("MET") + cutMe2DPhi);
// fill tmp histograms for BG estimation
//observed
//TH1D* hZ_ZC_noDPhi = new TH1D("hZ_ZC_noDPhi", "", 1, 0., 1.);
TH1D* hZ_ZC_DPhi = new TH1D("hZ_ZC_DPhi", "", 4, dphiEdges);
//predicted
//TH1D* hZ_WC_noDPhi = new TH1D("hZ_WC_noDPhi", "", 1, 0., 1.);
TH1D* hZ_WC_DPhi = new TH1D("hZ_WC_DPhi", "", 4, dphiEdges); // this is for the actual BG estimation
// fill tmp histograms for efficiency calculation
TH1D* hZ_EffMuMu_D = new TH1D("hZ_EffMuMu_D", "", 1, 0., 1.);
TH1D* hZ_EffMuMu_N = new TH1D("hZ_EffMuMu_N", "", 1, 0., 1.);
TH1D* hZ_EffMu_D = new TH1D("hZ_EffMu_D", "", 1, 0., 1.);
TH1D* hZ_EffMu_N = new TH1D("hZ_EffMu_N", "", 1, 0., 1.);
TH1D* hZ_EffVBFS_D = new TH1D("hZ_EffVBFS_D", "", 1, 0., 1.);
//TH1D* hZ_EffVBFS_N = new TH1D("hZ_EffVBFS_N", "", 1, 0., 1.);
TH1D* hZ_EffVBFS_NLo = new TH1D("hZ_EffVBFS_NLo", "", 1, 0., 1.);
TH1D* hZ_EffVBFS_NHi = new TH1D("hZ_EffVBFS_NHi", "", 1, 0., 1.);
TH1D* hZ_EffVBFS_NMe1 = new TH1D("hZ_EffVBFS_NMe1","", 1, 0., 1.);
TH1D* hZ_EffVBFS_NMe2 = new TH1D("hZ_EffVBFS_NMe2","", 1, 0., 1.);
TH1D* hZ_EffVBFC_D = new TH1D("hZ_EffVBFC_D", "", 1, 0., 1.);
//TH1D* hZ_EffVBFC_N = new TH1D("hZ_EffVBFC_N", "", 1, 0., 1.);
TH1D* hZ_EffVBFC_NLo = new TH1D("hZ_EffVBFC_NLo", "", 1, 0., 1.);
TH1D* hZ_EffVBFC_NHi = new TH1D("hZ_EffVBFC_NHi", "", 1, 0., 1.);
TH1D* hZ_EffVBFC_NMe1 = new TH1D("hZ_EffVBFC_NMe1","", 1, 0., 1.);
TH1D* hZ_EffVBFC_NMe2 = new TH1D("hZ_EffVBFC_NMe2","", 1, 0., 1.);
// W control region DY is BG
if (isDY) {
//tree->Draw("0.5>>hZ_ZC_noDPhi", cutZMuMu_C);
tree->Draw("vbfDPhi>>hZ_ZC_DPhi", cutZMuMu_C);
//tree->Draw("0.5>>hZ_WC_noDPhi", cutWMuNu_C);
tree->Draw("vbfDPhi>>hZ_WC_DPhi", cutWMuNu_C);
tree->Draw("0.5>>hZ_EffMuMu_D", cutEfficiencyMuMu_D);
tree->Draw("0.5>>hZ_EffMuMu_N", cutEfficiencyMuMu_N);
tree->Draw("0.5>>hZ_EffVBFS_D", cutEfficiencyVBFS_D);
//tree->Draw("0.5>>hZ_EffVBFS_N", cutEfficiencyVBFS_N);
tree->Draw("0.5>>hZ_EffVBFS_NLo", cutEfficiencyVBFS_NLoDPhi);
tree->Draw("0.5>>hZ_EffVBFS_NHi", cutEfficiencyVBFS_NHiDPhi);
tree->Draw("0.5>>hZ_EffVBFS_NMe1", cutEfficiencyVBFS_NMe1DPhi);
tree->Draw("0.5>>hZ_EffVBFS_NMe2", cutEfficiencyVBFS_NMe2DPhi);
}
else if(isWJets || isEwkW) {
//tree->Draw("0.5>>hZ_WC_noDPhi", cutWMuNu_C);
tree->Draw("vbfDPhi>>hZ_WC_DPhi", cutWMuNu_C);
tree->Draw("0.5>>hZ_EffMu_D", cutEfficiencyMu_D);
tree->Draw("0.5>>hZ_EffMu_N", cutEfficiencyMu_N);
tree->Draw("0.5>>hZ_EffVBFC_D", cutEfficiencyVBFC_D);
//tree->Draw("0.5>>hZ_EffVBFC_N", cutEfficiencyVBFC_N);
tree->Draw("0.5>>hZ_EffVBFC_NLo", cutEfficiencyVBFC_NLoDPhi);
tree->Draw("0.5>>hZ_EffVBFC_NHi", cutEfficiencyVBFC_NHiDPhi);
tree->Draw("0.5>>hZ_EffVBFC_NMe1", cutEfficiencyVBFC_NMe1DPhi);
tree->Draw("0.5>>hZ_EffVBFC_NMe2", cutEfficiencyVBFC_NMe2DPhi);
}
else if(isQCD) {
//tree->Draw("0.5>>hZ_C_noDPhi", cutWMuNu_C);
tree->Draw("vbfDPhi>>hZ_WC_DPhi", cutWMuNu_C);
}
else {
tree->Draw("vbfDPhi>>hZ_ZC_DPhi", cutZMuMu_C);
tree->Draw("vbfDPhi>>hZ_WC_DPhi", cutWMuNu_C);
}
// weight to lumi
double weight = (dataset.isData) ? 1. : lumi * dataset.sigma / dataset.nEvents;
hZ_ZC_DPhi->Scale(weight);
hZ_WC_DPhi->Scale(weight);
hZ_EffVBFS_D->Scale(weight);
//hZ_EffVBFS_N->Scale(weight);
hZ_EffVBFS_NLo->Scale(weight);
hZ_EffVBFS_NHi->Scale(weight);
hZ_EffVBFS_NMe1->Scale(weight);
hZ_EffVBFS_NMe2->Scale(weight);
hZ_EffVBFC_D->Scale(weight);
//hZ_EffVBFC_N->Scale(weight);
hZ_EffVBFC_NLo->Scale(weight);
hZ_EffVBFC_NHi->Scale(weight);
hZ_EffVBFC_NMe1->Scale(weight);
hZ_EffVBFC_NMe2->Scale(weight);
hZ_EffMu_D->Scale(weight);
hZ_EffMu_N->Scale(weight);
hZ_EffMuMu_D->Scale(weight);
hZ_EffMuMu_N->Scale(weight);
// add to output histograms
if (dataset.isData) {
hZ_Data_ZC_DPhi->Add(hZ_ZC_DPhi);
hZ_Data_WC_DPhi->Add(hZ_WC_DPhi);
}
else if (isWJets || isEwkW) {
//hZ_W_C_noDPhi->Add(hZ_C_noDPhi);
hZ_W_C_DPhi->Add(hZ_WC_DPhi);
hZ_W_EffMu_D->Add(hZ_EffMu_D);
hZ_W_EffMu_N->Add(hZ_EffMu_N);
hZ_W_EffVBFC_D->Add(hZ_EffVBFC_D);
//hZ_W_EffVBFC_N->Add(hZ_EffVBFC_N);
hZ_W_EffVBFC_NLo->Add(hZ_EffVBFC_NLo);
hZ_W_EffVBFC_NHi->Add(hZ_EffVBFC_NHi);
hZ_W_EffVBFC_NMe1->Add(hZ_EffVBFC_NMe1);
hZ_W_EffVBFC_NMe2->Add(hZ_EffVBFC_NMe2);
}
else if (isDY) {
hZ_DY_C_DPhi->Add(hZ_ZC_DPhi);
hZ_BG_WC_DPhi->Add(hZ_WC_DPhi);
hZ_DY_EffMuMu_D->Add(hZ_EffMuMu_D);
hZ_DY_EffMuMu_N->Add(hZ_EffMuMu_N);
hZ_DY_EffVBFS_D->Add(hZ_EffVBFS_D);
//hZ_DY_EffVBFS_N->Add(hZ_EffVBFS_N);
hZ_DY_EffVBFS_NLo->Add(hZ_EffVBFS_NLo);
hZ_DY_EffVBFS_NHi->Add(hZ_EffVBFS_NHi);
hZ_DY_EffVBFS_NMe1->Add(hZ_EffVBFS_NMe1);
hZ_DY_EffVBFS_NMe2->Add(hZ_EffVBFS_NMe2);
}
else if (isQCD) {
//hZ_BG_WC_DPhi->Add(hZ_WC_DPhi);
}
else {
hZ_BG_WC_DPhi->Add(hZ_WC_DPhi);
hZ_BG_ZC_DPhi->Add(hZ_ZC_DPhi);
}
std::cout << " N_Z ctrl (dphi<1.0) : " << hZ_ZC_DPhi->GetBinContent(1) << " +/- " << hZ_ZC_DPhi->GetBinError(1) << std::endl;
std::cout << " N_W ctrl (dphi<1.0) : " << hZ_WC_DPhi->GetBinContent(1) << " +/- " << hZ_WC_DPhi->GetBinError(1) << std::endl;
delete hZ_WC_DPhi;
delete hZ_ZC_DPhi;
delete hZ_EffMuMu_D;
delete hZ_EffMuMu_N;
delete hZ_EffMu_D;
delete hZ_EffMu_N;
delete hZ_EffVBFS_D;
//delete hZ_EffVBFS_N;
delete hZ_EffVBFS_NLo;
delete hZ_EffVBFS_NMe1;
delete hZ_EffVBFS_NMe2;
delete hZ_EffVBFS_NHi;
delete hZ_EffVBFC_D;
//delete hZ_EffVBFC_N;
delete hZ_EffVBFC_NLo;
delete hZ_EffVBFC_NMe1;
delete hZ_EffVBFC_NMe2;
delete hZ_EffVBFC_NHi;
// clean up
delete tree;
file->Close();
}
// numbers - calculate these from MC in this program later!
//double ratioBF = 5.626; // MCFM + NLO
double ratioBF = 1144./14428.;
TH1D* hZ_Est_ZC_DPhi = new TH1D("hZ_Est_ZC_DPhi", "", 4, dphiEdges);
// bins dPhi
TH1D* hZ_Est_WC_DPhi = new TH1D("hZ_Est_WC_DPhi", "", 4, dphiEdges);
TH1D* hZ_Est_WS_DPhi = new TH1D("hZ_Est_WS_DPhi", "", 4, dphiEdges);
TH1D* hZ_Eff_WS_DPhi = new TH1D("hZ_Eff_WS_DPhi", "", 4, dphiEdges);
TH1D* hZ_W_EffMu = new TH1D("hZ_W_EffMu", "", 1, 0., 1.); // epsilon mumu
hZ_W_EffMu->Add(hZ_W_EffMu_N);
hZ_W_EffMu->Divide(hZ_W_EffMu_D);
//double mu_syst = 0.025*hZ_W_EffMu->GetBinContent(1); //2.5% Muon ID/Iso efficiency uncertainty from EWK-10-002
//hZ_W_EffMu->SetBinError(1,TMath::Sqrt(hZ_W_EffMu->GetBinError(1)*hZ_W_EffMu->GetBinError(1) + mu_syst*mu_syst));
TH1D* hZ_DY_EffMuMu = new TH1D("hZ_DY_EffMuMu", "", 1, 0., 1.); // epsilon mumu
hZ_DY_EffMuMu->Add(hZ_DY_EffMuMu_N);
hZ_DY_EffMuMu->Divide(hZ_DY_EffMuMu_D);
//mu_syst = 0.025*hZ_DY_EffMuMu->GetBinContent(1); //2.5% Muon ID/Iso efficiency uncertainty from EWK-10-002
//hZ_DY_EffMuMu->SetBinError(1,TMath::Sqrt(hZ_DY_EffMuMu->GetBinError(1)*hZ_DY_EffMuMu->GetBinError(1) + mu_syst*mu_syst));
//TH1D* hZ_DY_EffVBFS = new TH1D("hZ_DY_EffVBFS", "", 1, 0., 1.); // epsilon_s_vbf
TH1D* hZ_DY_EffVBFSLo = new TH1D("hZ_DY_EffVBFSLo", "", 1, 0., 1.);
TH1D* hZ_DY_EffVBFSHi = new TH1D("hZ_DY_EffVBFSHi", "", 1, 0., 1.);
TH1D* hZ_DY_EffVBFSMe1 = new TH1D("hZ_DY_EffVBFSMe1", "", 1, 0., 1.);
TH1D* hZ_DY_EffVBFSMe2 = new TH1D("hZ_DY_EffVBFSMe2", "", 1, 0., 1.);
//TH1D* hZ_W_EffVBFC = new TH1D("hZ_W_EffVBFC", "", 1, 0., 1.); // epsilon_c_vbf
TH1D* hZ_W_EffVBFCLo = new TH1D("hZ_W_EffVBFCLo", "", 1, 0., 1.);
TH1D* hZ_W_EffVBFCHi = new TH1D("hZ_W_EffVBFCHi", "", 1, 0., 1.);
TH1D* hZ_W_EffVBFCMe1 = new TH1D("hZ_W_EffVBFCMe1", "", 1, 0., 1.);
TH1D* hZ_W_EffVBFCMe2 = new TH1D("hZ_W_EffVBFCMe2", "", 1, 0., 1.);
//TH1D* hZ_W_RatioVBF = new TH1D("hZ_W_RatioVBF", "", 1, 0., 1.); // epsilon_s_vbf/epsilon_c_vbf
TH1D* hZ_W_RatioVBFLo = new TH1D("hZ_W_RatioVBFLo", "", 1, 0., 1.);
TH1D* hZ_W_RatioVBFHi = new TH1D("hZ_W_RatioVBFHi", "", 1, 0., 1.);
TH1D* hZ_W_RatioVBFMe1 = new TH1D("hZ_W_RatioVBFMe1", "", 1, 0., 1.);
TH1D* hZ_W_RatioVBFMe2 = new TH1D("hZ_W_RatioVBFMe2", "", 1, 0., 1.);
//TH1D* hZ_W_TotalEff = new TH1D("hZ_W_TotalEff", "", 1, 0., 1.);
TH1D* hZ_W_TotalEffLo = new TH1D("hZ_W_TotalEffLo", "", 1, 0., 1.);
TH1D* hZ_W_TotalEffMe1 = new TH1D("hZ_W_TotalEffMe1", "", 1, 0., 1.);
TH1D* hZ_W_TotalEffMe2 = new TH1D("hZ_W_TotalEffMe2", "", 1, 0., 1.);
TH1D* hZ_W_TotalEffHi = new TH1D("hZ_W_TotalEffHi", "", 1, 0., 1.);
//hZ_DY_EffVBFS->Add(hZ_DY_EffVBFS_N);
//hZ_DY_EffVBFS->Divide(hZ_DY_EffVBFS_D);
hZ_DY_EffVBFSLo->Add(hZ_DY_EffVBFS_NLo);
hZ_DY_EffVBFSLo->Divide(hZ_DY_EffVBFS_D);
hZ_DY_EffVBFSHi->Add(hZ_DY_EffVBFS_NHi);
hZ_DY_EffVBFSHi->Divide(hZ_DY_EffVBFS_D);
hZ_DY_EffVBFSMe1->Add(hZ_DY_EffVBFS_NMe1);
hZ_DY_EffVBFSMe1->Divide(hZ_DY_EffVBFS_D);
hZ_DY_EffVBFSMe2->Add(hZ_DY_EffVBFS_NMe2);
hZ_DY_EffVBFSMe2->Divide(hZ_DY_EffVBFS_D);
//hZ_W_EffVBFC->Add(hZ_W_EffVBFC_N);
//hZ_W_EffVBFC->Divide(hZ_W_EffVBFC_D);
hZ_W_EffVBFCLo->Add(hZ_W_EffVBFC_NLo);
hZ_W_EffVBFCLo->Divide(hZ_W_EffVBFC_D);
hZ_W_EffVBFCMe1->Add(hZ_W_EffVBFC_NMe1);
hZ_W_EffVBFCMe1->Divide(hZ_W_EffVBFC_D);
hZ_W_EffVBFCMe2->Add(hZ_W_EffVBFC_NMe2);
hZ_W_EffVBFCMe2->Divide(hZ_W_EffVBFC_D);
hZ_W_EffVBFCHi->Add(hZ_W_EffVBFC_NHi);
hZ_W_EffVBFCHi->Divide(hZ_W_EffVBFC_D);
//hZ_W_RatioVBF->Add(hZ_DY_EffVBFS);
//hZ_W_RatioVBF->Divide(hZ_W_EffVBFC);
hZ_W_RatioVBFLo->Add(hZ_DY_EffVBFSLo);
hZ_W_RatioVBFLo->Divide(hZ_W_EffVBFCLo);
hZ_W_RatioVBFMe1->Add(hZ_DY_EffVBFSMe1);
hZ_W_RatioVBFMe1->Divide(hZ_W_EffVBFCMe1);
hZ_W_RatioVBFMe2->Add(hZ_DY_EffVBFSMe2);
hZ_W_RatioVBFMe2->Divide(hZ_W_EffVBFCMe2);
hZ_W_RatioVBFHi->Add(hZ_DY_EffVBFSHi);
hZ_W_RatioVBFHi->Divide(hZ_W_EffVBFCHi);
hZ_W_TotalEffLo->Add(hZ_W_RatioVBFLo);
hZ_W_TotalEffLo->Multiply(hZ_DY_EffMuMu);
hZ_W_TotalEffLo->Divide(hZ_W_EffMu);
hZ_W_TotalEffMe1->Add(hZ_W_RatioVBFMe1);
hZ_W_TotalEffMe1->Multiply(hZ_DY_EffMuMu);
hZ_W_TotalEffMe1->Divide(hZ_W_EffMu);
hZ_W_TotalEffMe2->Add(hZ_W_RatioVBFMe2);
hZ_W_TotalEffMe2->Multiply(hZ_DY_EffMuMu);
hZ_W_TotalEffMe2->Divide(hZ_W_EffMu);
hZ_W_TotalEffHi->Add(hZ_W_RatioVBFHi);
hZ_W_TotalEffHi->Multiply(hZ_DY_EffMuMu);
hZ_W_TotalEffHi->Divide(hZ_W_EffMu);
//hZ_Eff_S_noDPhi->Add(hZ_W_RatioVBF);
//hZ_Eff_S_noDPhi->Divide(hZ_W_EffMu);
hZ_Eff_WS_DPhi->SetBinContent(1,hZ_W_TotalEffLo->GetBinContent(1));
hZ_Eff_WS_DPhi->SetBinError(1,hZ_W_TotalEffLo->GetBinError(1));
hZ_Eff_WS_DPhi->SetBinContent(2,hZ_W_TotalEffMe1->GetBinContent(1));
hZ_Eff_WS_DPhi->SetBinError(2,hZ_W_TotalEffMe1->GetBinError(1));
hZ_Eff_WS_DPhi->SetBinContent(3,hZ_W_TotalEffMe2->GetBinContent(1));
hZ_Eff_WS_DPhi->SetBinError(3,hZ_W_TotalEffMe2->GetBinError(1));
hZ_Eff_WS_DPhi->SetBinContent(4,hZ_W_TotalEffHi->GetBinContent(1));
hZ_Eff_WS_DPhi->SetBinError(4,hZ_W_TotalEffHi->GetBinError(1));
//for(int ibin = 1; ibin <= hZ_Eff_S_DPhi->GetNbinsX(); ++ibin) {
// hZ_Eff_S_DPhi->SetBinContent(ibin,hZ_W_TotalEff->GetBinContent(1));
// hZ_Eff_S_DPhi->SetBinError (ibin,hZ_W_TotalEff->GetBinError(1));
//}
// Observed
hZ_Est_ZC_DPhi->Add(hZ_Data_ZC_DPhi, hZ_BG_ZC_DPhi, 1., -1.);
// Predicted
hZ_Est_WC_DPhi->Add(hZ_Data_WC_DPhi, hZ_BG_WC_DPhi, 1., -1.);
hZ_Est_WS_DPhi->Add(hZ_Est_WC_DPhi,ratioBF);
hZ_Est_WS_DPhi->Multiply(hZ_Eff_WS_DPhi);
// print out
std::cout << std::endl;
std::cout << "##################################### Cross-check with W mu ctrl region #####################################" << std::endl;
std::cout << std::endl;
std::cout << " eps_mumu by histogram : " << hZ_DY_EffMuMu->GetBinContent(1) << " +/- " << hZ_DY_EffMuMu->GetBinError(1) << std::endl;
std::cout << " eps_mu by histogram : " << hZ_W_EffMu->GetBinContent(1) << " +/- " << hZ_W_EffMu->GetBinError(1) << std::endl;
std::cout << std::endl;
std::cout << "dphi < 1.0" << std::endl;
std::cout << std::endl;
std::cout << " eps_s_vbf by histogram : " << hZ_DY_EffVBFSLo->GetBinContent(1) << " +/- " << hZ_DY_EffVBFSLo->GetBinError(1) << std::endl;
std::cout << " eps_c_vbf by histogram : " << hZ_W_EffVBFCLo->GetBinContent(1) << " +/- " << hZ_W_EffVBFCLo->GetBinError(1) << std::endl;
std::cout << " ratio_vbf by histogram : " << hZ_W_RatioVBFLo->GetBinContent(1) << " +/- " << hZ_W_RatioVBFLo->GetBinError(1) << std::endl;
std::cout << " total eff by histogram : " << hZ_Eff_WS_DPhi->GetBinContent(1) << " +/- " << hZ_Eff_WS_DPhi->GetBinError(1) << std::endl;
std::cout << std::endl;
std::cout << " W+jets MC ctrl region : " << hZ_W_C_DPhi->GetBinContent(1) << " +/- " << hZ_W_C_DPhi->GetBinError(1) << std::endl;
std::cout << " Background ctrl region : " << hZ_BG_WC_DPhi->GetBinContent(1) << " +/- " << hZ_BG_WC_DPhi->GetBinError(1) << std::endl;
std::cout << " Data ctrl region : " << hZ_Data_WC_DPhi->GetBinContent(1) << " +/- " << hZ_Data_WC_DPhi->GetBinError(1) << std::endl;
std::cout << " Data - BG : " << hZ_Est_WC_DPhi->GetBinContent(1) << " +/- " << hZ_Est_WC_DPhi->GetBinError(1) << std::endl;
std::cout << std::endl;
std::cout << " Predicted Zmumu : " << hZ_Est_WS_DPhi->GetBinContent(1) << " +/- " << hZ_Est_WS_DPhi->GetBinError(1) << std::endl;
std::cout << " Observed Zmumu : " << hZ_Est_ZC_DPhi->GetBinContent(1) << " +/- " << hZ_Est_ZC_DPhi->GetBinError(1) << std::endl;
std::cout << std::endl;
std::cout << "dphi > 1.0 dphi < 1.8" << std::endl;
std::cout << std::endl;
std::cout << " eps_s_vbf by histogram : " << hZ_DY_EffVBFSMe1->GetBinContent(1) << " +/- " << hZ_DY_EffVBFSMe1->GetBinError(1) << std::endl;
std::cout << " eps_c_vbf by histogram : " << hZ_W_EffVBFCMe1->GetBinContent(1) << " +/- " << hZ_W_EffVBFCMe1->GetBinError(1) << std::endl;
std::cout << " ratio_vbf by histogram : " << hZ_W_RatioVBFMe1->GetBinContent(1) << " +/- " << hZ_W_RatioVBFMe1->GetBinError(1) << std::endl;
std::cout << " total eff by histogram : " << hZ_Eff_WS_DPhi->GetBinContent(2) << " +/- " << hZ_Eff_WS_DPhi->GetBinError(2) << std::endl;
std::cout << std::endl;
std::cout << " W+jets MC ctrl region : " << hZ_W_C_DPhi->GetBinContent(2) << " +/- " << hZ_W_C_DPhi->GetBinError(2) << std::endl;
std::cout << " Background ctrl region : " << hZ_BG_WC_DPhi->GetBinContent(2) << " +/- " << hZ_BG_WC_DPhi->GetBinError(2) << std::endl;
std::cout << " Data ctrl region : " << hZ_Data_WC_DPhi->GetBinContent(2) << " +/- " << hZ_Data_WC_DPhi->GetBinError(2) << std::endl;
std::cout << " Data - BG : " << hZ_Est_WC_DPhi->GetBinContent(2) << " +/- " << hZ_Est_WC_DPhi->GetBinError(2) << std::endl;
std::cout << std::endl;
std::cout << " Predicted Zmumu : " << hZ_Est_WS_DPhi->GetBinContent(2) << " +/- " << hZ_Est_WS_DPhi->GetBinError(2) << std::endl;
std::cout << " Observed Zmumu : " << hZ_Est_ZC_DPhi->GetBinContent(2) << " +/- " << hZ_Est_ZC_DPhi->GetBinError(2) << std::endl;
std::cout << std::endl;
std::cout << "dphi > 1.8 dphi < 2.6" << std::endl;
std::cout << std::endl;
std::cout << " eps_s_vbf by histogram : " << hZ_DY_EffVBFSMe2->GetBinContent(1) << " +/- " << hZ_DY_EffVBFSMe2->GetBinError(1) << std::endl;
std::cout << " eps_c_vbf by histogram : " << hZ_W_EffVBFCMe2->GetBinContent(1) << " +/- " << hZ_W_EffVBFCMe2->GetBinError(1) << std::endl;
std::cout << " ratio_vbf by histogram : " << hZ_W_RatioVBFMe2->GetBinContent(1) << " +/- " << hZ_W_RatioVBFMe2->GetBinError(1) << std::endl;
std::cout << " total eff by histogram : " << hZ_Eff_WS_DPhi->GetBinContent(3) << " +/- " << hZ_Eff_WS_DPhi->GetBinError(3) << std::endl;
std::cout << std::endl;
std::cout << " W+jets MC ctrl region : " << hZ_W_C_DPhi->GetBinContent(3) << " +/- " << hZ_W_C_DPhi->GetBinError(3) << std::endl;
std::cout << " Background ctrl region : " << hZ_BG_WC_DPhi->GetBinContent(3) << " +/- " << hZ_BG_WC_DPhi->GetBinError(3) << std::endl;
std::cout << " Data ctrl region : " << hZ_Data_WC_DPhi->GetBinContent(3) << " +/- " << hZ_Data_WC_DPhi->GetBinError(3) << std::endl;
std::cout << " Data - BG : " << hZ_Est_WC_DPhi->GetBinContent(3) << " +/- " << hZ_Est_WC_DPhi->GetBinError(3) << std::endl;
std::cout << std::endl;
std::cout << " Predicted Zmumu : " << hZ_Est_WS_DPhi->GetBinContent(3) << " +/- " << hZ_Est_WS_DPhi->GetBinError(3) << std::endl;
std::cout << " Observed Zmumu : " << hZ_Est_ZC_DPhi->GetBinContent(3) << " +/- " << hZ_Est_ZC_DPhi->GetBinError(3) << std::endl;
std::cout << std::endl;
std::cout << "dphi > 2.6" << std::endl;
std::cout << std::endl;
std::cout << " eps_s_vbf by histogram : " << hZ_DY_EffVBFSHi->GetBinContent(1) << " +/- " << hZ_DY_EffVBFSHi->GetBinError(1) << std::endl;
std::cout << " eps_c_vbf by histogram : " << hZ_W_EffVBFCHi->GetBinContent(1) << " +/- " << hZ_W_EffVBFCHi->GetBinError(1) << std::endl;
std::cout << " ratio_vbf by histogram : " << hZ_W_RatioVBFHi->GetBinContent(1) << " +/- " << hZ_W_RatioVBFHi->GetBinError(1) << std::endl;
std::cout << " total eff by histogram : " << hZ_Eff_WS_DPhi->GetBinContent(4) << " +/- " << hZ_Eff_WS_DPhi->GetBinError(4) << std::endl;
std::cout << std::endl;
std::cout << " W+jets MC ctrl region : " << hZ_W_C_DPhi->GetBinContent(4) << " +/- " << hZ_W_C_DPhi->GetBinError(4) << std::endl;
std::cout << " Background ctrl region : " << hZ_BG_WC_DPhi->GetBinContent(4) << " +/- " << hZ_BG_WC_DPhi->GetBinError(4) << std::endl;
std::cout << " Data ctrl region : " << hZ_Data_WC_DPhi->GetBinContent(4) << " +/- " << hZ_Data_WC_DPhi->GetBinError(4) << std::endl;
std::cout << " Data - BG region : " << hZ_Est_WC_DPhi->GetBinContent(4) << " +/- " << hZ_Est_WC_DPhi->GetBinError(4) << std::endl;
std::cout << std::endl;
std::cout << " Predicted Zmumu : " << hZ_Est_WS_DPhi->GetBinContent(4) << " +/- " << hZ_Est_WS_DPhi->GetBinError(4) << std::endl;
std::cout << " Observed Zmumu : " << hZ_Est_ZC_DPhi->GetBinContent(4) << " +/- " << hZ_Est_ZC_DPhi->GetBinError(4) << std::endl;
std::cout << std::endl;
std::cout << "#####################################################################################" << std::endl;
std::cout << std::endl;
// draw control plots
std::string pdfName;
gStyle->SetOptStat(0);
gStyle->SetOptFit(111111111);
double x1[4] = {0.5, 1.4, 2.2, 2.6 + (TMath::Pi()-2.6)/2};
double ex1[4] = {0.5, 0.4, 0.4, (TMath::Pi()-2.6)/2};
double y1[4],ey1[4],y2[4],ey2[4],y3[4],ey3[4];
double diff[4],ediff[4];
double frac[4],efrac[4];
double y_syst[4],e_syst[4];
for(int i=0; i<4; ++i) {
y1[i] = hZ_Est_WS_DPhi->GetBinContent(i+1); //Prediction
ey1[i] = hZ_Est_WS_DPhi->GetBinError(i+1);
y2[i] = hZ_Est_ZC_DPhi->GetBinContent(i+1); //Observation
ey2[i] = hZ_Est_ZC_DPhi->GetBinError(i+1);
y3[i] = hZ_DY_C_DPhi->GetBinContent(i+1); //MC Prediction
ey3[i] = hZ_DY_C_DPhi->GetBinError(i+1);
diff[i] = y1[i]-y2[i];
ediff[i] = sqrt(ey1[i]*ey1[i] + ey2[i]*ey2[i]);
y_syst[i] = 0.;
e_syst[i] = 0.21;
if(y1[i] > 0) frac[i] = (y1[i]-y2[i])/y2[i];
efrac[i] = (y1[i]/y2[i])*sqrt(pow(ey1[i]/y1[i],2) + pow(ey2[i]/y2[i],2));
}
TGraphErrors *graph1 = new TGraphErrors(4,x1,y1,ex1,ey1);
TGraphErrors *graph2 = new TGraphErrors(4,x1,y2,ex1,ey2);
TGraphErrors *graph6 = new TGraphErrors(4,x1,y3,ex1,ey3);
TGraphErrors *graph3 = new TGraphErrors(4,x1,diff,ex1,ediff);
TGraphErrors *graph4 = new TGraphErrors(4,x1,frac,ex1,efrac);
TGraphErrors *graph5 = new TGraphErrors(4,x1,y_syst,ex1,e_syst);
TH1D *h = new TH1D("h", "", 1, 0, TMath::Pi());
TCanvas canvas;
canvas.SetCanvasSize(canvas.GetWindowWidth(), 1.2*canvas.GetWindowHeight());
graph1->SetTitle("");
graph1->SetMarkerStyle(20);
graph1->SetMarkerSize(0.9);
graph1->SetLineColor(kRed);
graph1->SetMarkerColor(kRed);
graph1->GetXaxis()->SetTitle("#Delta #phi_{jj}");
graph1->GetXaxis()->SetRangeUser(0,TMath::Pi());
graph1->GetYaxis()->SetTitle("N(Z#rightarrow #mu#mu)");
graph1->GetYaxis()->SetRangeUser(0,45);
graph1->Draw("AP");
graph2->SetMarkerStyle(20);
graph2->SetMarkerSize(0.9);
graph2->SetLineColor(kBlue);
graph2->SetMarkerColor(kBlue);
graph2->Draw("P same");
graph6->SetMarkerStyle(20);
graph6->SetMarkerSize(0.9);
graph6->SetLineColor(kViolet);
graph6->SetMarkerColor(kViolet);
graph6->Draw("P same");
TLegend leg(0.12,0.67,0.37,0.88);
leg.SetBorderSize(0);
leg.SetFillColor(0);
leg.AddEntry(graph1,"predicted (data)","P");
leg.AddEntry(graph2,"observed (data)","P");
leg.AddEntry(graph6,"predicted (MC)","P");
leg.Draw();
pdfName= oDir + std::string("/Zmumu_num.pdf");
canvas.Print(pdfName.c_str());
h->GetXaxis()->SetTitle("#Delta #phi_{jj}");
h->GetYaxis()->SetTitle("Predicted - Observed");
h->GetYaxis()->SetRangeUser(-20,20);
h->SetLineColor(kBlue);
h->Draw();
graph3->SetMarkerStyle(20);
graph3->SetMarkerSize(0.9);
graph3->SetMarkerColor(kGreen-2);
TF1 *f1 = new TF1("f1","pol0",0,TMath::Pi());
graph3->Fit("f1","R");
h->Draw();
graph3->Draw("SAMEP");
pdfName= oDir + std::string("/Zmumu_diff.pdf");
canvas.Print(pdfName.c_str());
h->GetXaxis()->SetTitle("#Delta #phi_{jj}");
h->GetYaxis()->SetTitle("#frac{Predicted - Observed}{Observed}");
h->GetYaxis()->SetTitleOffset(1.2);
h->GetYaxis()->SetRangeUser(-2,2);
h->SetLineColor(kBlue);
h->SetLineWidth(2);
h->Draw();
graph5->SetLineColor(kGray+2);
graph5->SetLineWidth(0);
graph5->SetFillColor(kGray+2);
graph5->SetFillStyle(3002);
graph4->SetMarkerStyle(20);
graph4->SetMarkerSize(1.2);
graph4->SetMarkerColor(kGreen-2);
graph4->Fit("f1","R");
h->Draw();
graph5->Draw("2 same");
graph4->Draw("P same");
TLegend leg2(0.12,0.67,0.40,0.87);
leg2.SetBorderSize(0);
leg2.SetFillColor(0);
leg2.AddEntry(f1,"pol0 fit (0 < #Delta #phi_{jj} < #pi)","l");
leg2.AddEntry(graph5,"Systematic error","f");
leg2.Draw();
pdfName= oDir + std::string("/Zmumu_frac.pdf");
canvas.Print(pdfName.c_str());
//store histograms
ofile->cd();
hZ_DY_C_DPhi->Write("",TObject::kOverwrite);
hZ_BG_ZC_DPhi->Write("",TObject::kOverwrite);
hZ_Data_ZC_DPhi->Write("",TObject::kOverwrite);
hZ_W_C_DPhi->Write("",TObject::kOverwrite);
hZ_BG_WC_DPhi->Write("",TObject::kOverwrite);
hZ_Data_WC_DPhi->Write("",TObject::kOverwrite);
hZ_Est_ZC_DPhi->Write("",TObject::kOverwrite);
hZ_Est_WC_DPhi->Write("",TObject::kOverwrite);
hZ_Est_WS_DPhi->Write("",TObject::kOverwrite);
hZ_Eff_WS_DPhi->Write("",TObject::kOverwrite);
hZ_DY_EffMuMu_D->Write("",TObject::kOverwrite);
hZ_DY_EffMuMu_N->Write("",TObject::kOverwrite);
hZ_W_EffMu_D->Write("",TObject::kOverwrite);
hZ_W_EffMu_N->Write("",TObject::kOverwrite);
hZ_DY_EffVBFS_D->Write("",TObject::kOverwrite);
hZ_DY_EffVBFS_NLo->Write("",TObject::kOverwrite);
hZ_DY_EffVBFS_NMe1->Write("",TObject::kOverwrite);
hZ_DY_EffVBFS_NMe2->Write("",TObject::kOverwrite);
hZ_DY_EffVBFS_NHi->Write("",TObject::kOverwrite);
hZ_W_EffVBFC_D->Write("",TObject::kOverwrite);
hZ_W_EffVBFC_NLo->Write("",TObject::kOverwrite);
hZ_W_EffVBFC_NMe1->Write("",TObject::kOverwrite);
hZ_W_EffVBFC_NMe2->Write("",TObject::kOverwrite);
hZ_W_EffVBFC_NHi->Write("",TObject::kOverwrite);
hZ_W_EffMu->Write("",TObject::kOverwrite);
//hZ_DY_EffVBFS->Write("",TObject::kOverwrite);
//hZ_W_EffVBFC->Write("",TObject::kOverwrite);
//hZ_W_RatioVBF->Write("",TObject::kOverwrite);
//hZ_W_TotalEff->Write("",TObject::kOverwrite);
ofile->Close();
}
void combination() {
gROOT->SetStyle("Plain");
gStyle->SetPalette(1);
gStyle->SetOptStat(1111111); // Show overflow, underflow + SumOfWeights
// gStyle->SetStatStyle(0); // for a completely transparent stat box
gStyle->SetOptFit(111110);
gStyle->SetOptFile(1);
gStyle->SetMarkerStyle(20);
gStyle->SetMarkerSize(.3);
gStyle->SetMarkerColor(1);
gStyle->SetTitleBorderSize(0); // no border around histogram title (font size can't be calculated anyways ...)
gROOT->ForceStyle();
TCanvas *c0 = new TCanvas("c0","--c0--",472,0,800,800);
gStyle->SetOptStat(0);
TFile resojet("resojetvspt.root");
TFile resophot("resophotvspt.root");
TFile deltapt("deltaptnormvspt.root");
TFile deltaptjet("deltaptjetnormvspt.root");
TFile ratiopt("ratioptnormvspt.root");
deltapt.cd();
resosum->SetMaximum(30);
resosum->SetAxisRange(40.,700.);
resosum->SetMarkerSize(.7);
resosum->SetTitle("");
resosum->SetXTitle("p_{T}[GeV/c]");
resosum->SetYTitle("resolution(p_{T})%");
resosum->SetTitleOffset(1.,"Y");
resosum->Draw();
deltaptjet.cd();
resosum->SetLineColor(kBlue);
resosum->SetMarkerColor(kBlue);
resosum->SetMarkerSize(.7);
resosum->Draw("same");
resojet.cd();
resosum->SetLineColor(kRed);
resosum->SetMarkerColor(kRed);
resosum->SetMarkerSize(.7);
resosum->SetMaximum(30);
resosum->SetAxisRange(40.,700.);
resosum->SetTitle("");
resosum->SetXTitle("p_{T}[GeV/c]");
resosum->SetYTitle("resolution(p_{T})%");
resosum->SetTitleOffset(1.,"Y");
resosum->Draw("same");
resophot.cd();
resosum->SetLineColor(kGreen);
resosum->SetMarkerColor(kGreen);
resosum->SetMarkerSize(.7);
resosum->Draw("same");
deltapt.cd();
resosum->Draw("same");
TH1D p1;
TH1D p2;
TH1D p3;
TH1D p4;
p1.SetMarkerStyle(8);
p1.SetMarkerSize(1.4);
p2.SetLineColor(kBlue);
p2.SetMarkerColor(kBlue);
p2.SetMarkerStyle(8);
p2.SetMarkerSize(1.4);
p3.SetLineColor(kRed);
p3.SetMarkerColor(kRed);
p3.SetMarkerStyle(8);
p3.SetMarkerSize(1.4);
p4.SetLineColor(kGreen);
p4.SetMarkerColor(kGreen);
p4.SetMarkerStyle(8);
p4.SetMarkerSize(1.4);
TLegendEntry *legge;
TLegend *leg;
leg = new TLegend(0.3,0.65,0.65,0.85);
leg->SetFillStyle(0);
leg->SetBorderSize(0.);
leg->SetTextSize(0.035);
leg->SetFillColor(0);
legge = leg->AddEntry(&p1, "jet-gamma", "p");
legge = leg->AddEntry(&p2, "gamma(MC)-jet(MC)", "p");
legge = leg->AddEntry(&p3, "jet-jet(MC)", "p");
legge = leg->AddEntry(&p4, "gamma-gamma(MC)", "p");
leg->Draw();
c0->SaveAs("reso_combination.eps");
c0->SaveAs("reso_combination.gif");
resojet.cd();
resosum->Draw();
c0->SaveAs("resojetonly_combination.eps");
c0->SaveAs("resojetonly_combination.gif");
deltapt.cd();
biassum->SetMaximum(15);
biassum->SetAxisRange(40.,700.);
biassum->SetMarkerSize(.7);
biassum->SetTitle("");
biassum->SetXTitle("p_{T}[GeV/c]");
biassum->SetYTitle("peak position(p_{T})%");
biassum->SetTitleOffset(1.,"Y");
biassum->Draw();
deltaptjet.cd();
biassum->SetLineColor(kBlue);
biassum->SetMarkerColor(kBlue);
biassum->SetMarkerSize(.7);
biassum->Draw("same");
resojet.cd();
biassum->SetMaximum(15);
biassum->SetAxisRange(40.,700.);
biassum->SetMarkerSize(.7);
biassum->SetTitle("");
biassum->SetXTitle("p_{T}[GeV/c]");
biassum->SetYTitle("peak position(p_{T})%");
biassum->SetTitleOffset(1.,"Y");
biassum->SetLineColor(kRed);
biassum->SetMarkerColor(kRed);
biassum->SetMarkerSize(.7);
biassum->Draw("same");
resophot.cd();
biassum->SetLineColor(kGreen);
biassum->SetMarkerColor(kGreen);
biassum->SetMarkerSize(.7);
biassum->Draw("same");
deltapt.cd();
biassum->Draw("same");
TLegendEntry * legge2;
TLegend leg2(0.33,0.15,0.65,0.35);;
leg2.SetFillStyle(0);
leg2.SetBorderSize(0.);
leg2.SetTextSize(0.035);
leg2.SetFillColor(0);
legge2 = leg2.AddEntry(&p1, "jet-gamma", "p");
legge2 = leg2.AddEntry(&p2, "gamma(MC)-jet(MC)", "p");
legge2 = leg2.AddEntry(&p3, "jet-jet(MC)", "p");
legge2 = leg2.AddEntry(&p4, "gamma-gamma(MC)", "p");
leg2.Draw();
c0->SaveAs("bias_combination.eps");
// c0->SaveAs("bias_combination.gif");
deltapt.cd();
biassum->Draw();
c0->SaveAs("biasonly_combination.eps");
// c0->SaveAs("biasonly_combination.gif");
resojet.cd();
biassum->Draw();
c0->SaveAs("biasjetonly_combination.eps");
// c0->SaveAs("biasjetonly_combination.gif");
ratiopt.cd();
biassum->SetMaximum(1.0999);
biassum->SetMinimum(0.3);
biassum->SetAxisRange(40.,700.);
biassum->SetMarkerSize(.7);
biassum->SetTitle("");
biassum->SetXTitle("p_{T}(#gamma)[GeV/c]");
biassum->SetYTitle("#frac{p_{T}(jet)}{p_{T}(#gamma)}");
biassum->SetTitleOffset(.8,"Y");
biassum->Draw();
c0->SaveAs("ratioonly_combination.eps");
// c0->SaveAs("ratioonly_combination.gif");
}
void* Monitoring::MonitorThread(void* arg){
//std::cout<<"d1"<<std::endl;
monitor_thread_args* args= static_cast<monitor_thread_args*>(arg);
std::string outpath=args->outputpath;
zmq::socket_t Ireceive (*(args->context), ZMQ_PAIR);
Ireceive.connect("inproc://MonitorThread");
// std::vector<CardData*> carddata;
std::map<int,std::vector<TH1F> > PedTime;
std::map<int,std::vector<TH1F> > PedRMSTime;
std::vector<TH1F> rates;
std::vector<TH1F> averagesize;
std::vector<TH1I> tfreqplots;
std::map<int,std::vector<std::vector<float > > > pedpars;
TCanvas c1("c1","c1",600,400);
bool running=true;
bool init=true;
std::vector<PMT> PMTInfo;
/////////////////// Connect to sql ///////////////////////
//std::cout<<"d2"<<std::endl;
pqxx::connection *C;
std::stringstream tmp;
tmp<<"dbname=annie"<<" hostaddr=127.0.0.1"<<" port=5432" ;
C=new pqxx::connection(tmp.str().c_str());
if (C->is_open()) {
// std::cout << "Opened database successfully: " << C->dbname() << std::endl;
}
else {
std::cout << "Can't open database" << std::endl;
return false;
}
tmp.str("");
pqxx::nontransaction N(*C);
tmp<<"select gx,gy,gz,vmecard,vmechannel from pmtconnections order by channel; ";
/* Execute SQL query */
pqxx::result R( N.exec( tmp.str().c_str() ));
//pqxx::result::const_iterator c = R.begin();
///////// Fill PMT Info////////////////
for ( pqxx::result::const_iterator c = R.begin(); c != R.end(); ++c) {
PMT tmp;
tmp.gx= c[0].as<int>();
tmp.gy= c[1].as<int>();
tmp.gz= c[2].as<int>();
tmp.card= c[3].as<int>();
tmp.channel= c[4].as<int>()-1;
PMTInfo.push_back(tmp);
}
//std::cout<<"d3"<<std::endl;
while (running){
//std::cout<<"d4"<<std::endl;
zmq::message_t comm;
Ireceive.recv(&comm);
std::istringstream iss(static_cast<char*>(comm.data()));
std::string arg1="";
iss>>arg1;
//std::cout<<"d5"<<std::endl;
if(arg1=="Data"){
////////// Setting up plots/////////
std::vector<TGraph2D*> mg;
TH2I EventDisplay ("Event Display", "Event Display", 10, -1, 8, 10, -1, 8);
TH2I RMSDisplay ("RMS Display", "RMS Display", 10, -1, 8, 10, -1, 8);
std::vector<TH1F> temporalplots;
std::vector<TH1I> freqplots;
CardData* carddata;
int size=0;
iss>>size;
//freqplots.clear();
//std::cout<<"d6"<<std::endl;
for(int i=0;i<size;i++){
//std::cout<<"d7"<<std::endl;
long long unsigned int pointer;
iss>>std::hex>>pointer;
carddata=(reinterpret_cast<CardData *>(pointer));
if(init){ ////make initial freq plot and ped vector ped time and ped rms////
for(int j=0;j<carddata->channels;j++){
std::stringstream tmp;
tmp<<"Channel "<<(i*4)+j<<" frequency";
TH1I tmpfreq(tmp.str().c_str(),tmp.str().c_str(),10,0,9);
tfreqplots.push_back(tmpfreq);
tmp.str("");
tmp<<"Channel "<<(i*4)+j<<" Pedistal";
TH1F tmppedtime(tmp.str().c_str(),tmp.str().c_str(),100,0,99);
PedTime[carddata->CardID].push_back(tmppedtime);
tmp.str("");
tmp<<"Channel "<<(i*4)+j<<" Pedistal RMS";
TH1F tmppedrmstime(tmp.str().c_str(),tmp.str().c_str(),100,0,99);
PedRMSTime[carddata->CardID].push_back(tmppedrmstime);
std::vector<float> tmppedpars;
tmppedpars.push_back(0);
tmppedpars.push_back(0);
pedpars[carddata->CardID].push_back(tmppedpars);
}
if(i==size-1)init=false;
}
//std::cout<<"d8"<<std::endl;
// std::cout<<"d1"<<std::endl;
///////Make temporal plot //////////
for(int j=0;j<carddata->channels;j++){
std::stringstream tmp;
tmp<<"Channel "<<(i*4)+j<<" temporal";
TH1F temporal(tmp.str().c_str(),tmp.str().c_str(),carddata->buffersize,0,carddata->buffersize-1);
long sum=0;
//////////Make freq plot///////////////
tmp.str("");
tmp<<"Channel "<<(i*4)+j<<" frequency";
TH1I freq(tmp.str().c_str(),tmp.str().c_str(),200,200,399);
// std::cout<<"d2"<<std::endl;
//std::cout<<"d9"<<std::endl;
///// Calculate sum for event dispkay and fill freq plots /////////
for(int k=0;k<carddata->buffersize;k++){
//std::cout<<"d10"<<std::endl;
// std::cout<<"i="<<i<<" j="<<j<<std::endl;
//std::cout<<"d2.5 "<<(i*4)+j<<" feqplot.size = "<<freqplots.size()<<std::endl;
if(carddata->Data[(j*carddata->buffersize)+k]>pedpars[carddata->CardID].at(j).at(0)+(pedpars[carddata->CardID].at(j).at(1)*5))sum+=carddata->Data[(j*carddata->buffersize)+k];
freq.Fill(carddata->Data[(j*carddata->buffersize)+k]);
//temporal.SetBinContent(k,carddata->Data[(j*carddata->buffersize)+k]);
}
freqplots.push_back(freq);
//////// find pedistall fill ped temporals//////////
freq.Fit("gaus");
TF1 *gaus = freq.GetFunction("gaus");
pedpars[carddata->CardID].at(j).at(0)=(gaus->GetParameter(1));
pedpars[carddata->CardID].at(j).at(1)=(gaus->GetParameter(2));
gaus->SetLineColor(j+1);
//std::cout<<"d11"<<std::endl;
for(int bin=99;bin>0;bin--){
PedTime[carddata->CardID].at(j).SetBinContent(bin,PedTime[carddata->CardID].at(j).GetBinContent(bin-1));
PedRMSTime[carddata->CardID].at(j).SetBinContent(bin,PedRMSTime[carddata->CardID].at(j).GetBinContent(bin-1));
}
PedTime[carddata->CardID].at(j).SetBinContent(0, pedpars[carddata->CardID].at(j).at(0));
PedRMSTime[carddata->CardID].at(j).SetBinContent(0, pedpars[carddata->CardID].at(j).at(1));
//////// fill temporal plot/////////
for(int k=0;k<carddata->buffersize/4;k++){
//std::cout<<"d12"<<std::endl;
//std::cout<<"j*4 = "<<j*4<<std::endl;
//std::cout<<"(i*BufferSize)+(j*4) = "<<(i*BufferSize)+(j*4)<<std::endl;
//std::cout<<"i*BufferSize)+(j*4)+(BufferSize/2) = "<<(i*BufferSize)+(j*4)+(BufferSize/2)<<std::endl;
//std::cout<<"(i*BufferSize)+(j*4)+(BufferSize/2)+1 = "<<(i*BufferSize)+(j*4)+(BufferSize/2)+1<<std::endl;
int offset=pedpars[carddata->CardID].at(j).at(0);
double conversion=2.415/pow(2.0, 12.0);
temporal.SetBinContent(k*4,(carddata->Data[(j*carddata->buffersize)+(k*2)]-offset)*conversion);
temporal.SetBinContent((k*4)+1,(carddata->Data[(j*carddata->buffersize)+(k*2)+1]-offset)*conversion);
temporal.SetBinContent((k*4)+2,(carddata->Data[(j*carddata->buffersize)+(k*2)+(carddata->buffersize/2)]-offset)*conversion);
temporal.SetBinContent((k*4)+3,(carddata->Data[(j*carddata->buffersize)+(k*2)+(carddata->buffersize/2)+1]-offset)*conversion);
}
//std::cout<<"d13"<<std::endl;
//std::cout<<"d3"<<std::endl;
temporalplots.push_back(temporal);
////// find x,y,z fill event display /////////
int x=-10;
int z=-10;
int y=-10;
for(int pmt=0;pmt<PMTInfo.size();pmt++){
//std::cout<<"d4"<<std::endl;
if(PMTInfo.at(pmt).card==carddata->CardID && PMTInfo.at(pmt).channel==j){
x=PMTInfo.at(pmt).gx;
z=PMTInfo.at(pmt).gz;
y=PMTInfo.at(pmt).gy;
//std::cout<<"d15"<<std::endl;
}
}
/*
int x=(((i*4)+j)%8);
int y=(floor(((i*4)+j)/8.0));
if(x==0 && y==0){x=-10;y=-10;}
if(x==7 && y==0){x=-10;y=-10;}
if(x==0 && y==7){x=-10;y=-10;}
if(x==7 && y==7){x=-10;y=-10;}
if (y>7){x=-10;y=-10;}
std::cout<<"i="<<i<<" j="<<j<<" (i*4)+j)="<<((i*4)+j)<<" x="<<x<<" y="<<y<<" sum="<<sum<<std::endl;
EventDisplay.SetBinContent(x+1,y+1,sum);
//EventDisplay.SetBinContent(((i*4)+j),sum);
*/
//std::cout<<"d16"<<std::endl;
if(x!=-10 && z!=-10){
//std::cout<<"d17"<<std::endl;
//std::cout<<"gx = "<<x<<" , gz="<<z<<std::endl;
EventDisplay.SetBinContent(x+2,z+2,sum);
RMSDisplay.SetBinContent(x+2,z+2,gaus->GetParameter(2)*100);
//// Attempted 2ne event display ///
TGraph2D *dt=new TGraph2D(1);
dt->SetPoint(0,x,z,z);
dt->SetMarkerStyle(20);
//dt->GetXaxis()->SetRangeUser(-1,8);
// dt->GetYaxis()->SetRangeUser(-1,8);
//dt->GetZaxis()->SetRangeUser(-1,8);
mg.push_back(dt);
}
}
//std::cout<<"d18"<<std::endl;
///////Find max freq for scaling//////////
int maxplot=0;
long maxvalue=0;
//std::cout<<"i="<<i<<" (i*4)="<<(i*4)<<" (i*4)+4="<<(i*4)+4<<" size="<<freqplots.size()<<std::endl;
for(int j=(i*4);j<(i*4)+4;j++){
if (freqplots.at(j).GetMaximum()>maxvalue){
//std::cout<<"d19"<<std::endl;
maxvalue=freqplots.at(j).GetMaximum();
maxplot=j;
}
}
//std::cout<<"d20"<<std::endl;
////////Find current time and plot frewuency plot
time_t t = time(0); // get time now
struct tm * now = localtime( & t );
std::stringstream title;
title<<"Card "<<carddata->CardID<<" frequency: "<<(now->tm_year + 1900) << '-' << (now->tm_mon + 1) << '-' << now->tm_mday<<','<<now->tm_hour<<':'<<now->tm_min<<':'<<now->tm_sec;
//std::cout<<"d21"<<std::endl;
freqplots.at(maxplot).SetTitle(title.str().c_str());
freqplots.at(maxplot).GetXaxis()->SetTitle("ADC Value");
freqplots.at(maxplot).GetYaxis()->SetTitle("Frequency");
freqplots.at(maxplot).SetLineColor((maxplot%4)+1);
freqplots.at(maxplot).Draw();
TLegend leg(0.8,0.4,1.0,0.7);
//leg.SetHeader("The Legend Title");
//std::cout<<"d22"<<std::endl;
for(int j=(i*4);j<(i*4)+4;j++){
//std::cout<<"d23"<<std::endl;
std::stringstream legend;
legend<<"Channel "<<j-(i*4);
leg.AddEntry(&freqplots.at(j),legend.str().c_str(),"l");
freqplots.at(j).SetLineColor((j%4)+1);
if(j==maxplot){;}//freqplots.at(i).Draw();
else freqplots.at(j).Draw("same");
}
leg.Draw();
//std::cout<<"d24"<<std::endl;
std::stringstream tmp;
tmp<<outpath<<carddata->CardID<<"freq.jpg";
c1.SaveAs(tmp.str().c_str());
//std::cout<<"d25"<<std::endl;
///////find max tmporal plot for scaling
///temporal
maxplot=0;
maxvalue=0;
//std::cout<<"i="<<i<<" (i*4)="<<(i*4)<<" (i*4)+4="<<(i*4)+4<<" size="<<freqplots.size()<<std::endl;
for(int j=(i*4);j<(i*4)+4;j++){
//std::cout<<"d26"<<std::endl;
if (temporalplots.at(j).GetMaximum()>maxvalue){
maxvalue=temporalplots.at(j).GetMaximum();
maxplot=j;
}
}
//std::cout<<"d27"<<std::endl;
//////// Find time and plot temporal plot
t = time(0); // get time now
now = localtime( & t );
std::stringstream title2;
title2<<"Card "<<carddata->CardID<<" Temporal: "<<(now->tm_year + 1900) << '-' << (now->tm_mon + 1) << '-' << now->tm_mday<<','<<now->tm_hour<<':'<<now->tm_min<<':'<<now->tm_sec;
//std::cout<<"d28"<<std::endl;
temporalplots.at(maxplot).SetTitle(title2.str().c_str());
temporalplots.at(maxplot).GetXaxis()->SetTitle("Samples");
temporalplots.at(maxplot).GetYaxis()->SetTitle("Volate (V)");
temporalplots.at(maxplot).SetLineColor((maxplot%4)+1);
temporalplots.at(maxplot).Draw();
TLegend leg2(0.8,0.4,1.0,0.7);
//std::cout<<"d29"<<std::endl;
for(int j=(i*4);j<(i*4)+4;j++){
//std::cout<<"d30"<<std::endl;
std::stringstream legend;
legend<<"Channel "<<j-(i*4);
leg2.AddEntry(&temporalplots.at(j),legend.str().c_str(),"l");
temporalplots.at(j).SetLineColor((j%4)+1);
if(j==0){;}
else temporalplots.at(j).Draw("same");
}
//std::cout<<"d31"<<std::endl;
leg2.Draw();
//std::cout<<"d6"<<std::endl;
std::stringstream tmp2;
tmp2<<outpath<<carddata->CardID<<"temporal.jpg";
c1.SaveAs(tmp2.str().c_str());
//std::cout<<"d32"<<std::endl;
///////plotting PED time and ped rms time //////
maxplot=0;
maxvalue=0;
for(int j=0;j<4;j++){
//std::cout<<"d26"<<std::endl;
if ( PedTime[carddata->CardID].at(j).GetMaximum()>maxvalue){
maxvalue=PedTime[carddata->CardID].at(j).GetMaximum();
maxplot=j;
}
}
t = time(0); // get time now
now = localtime( & t );
title2.str("");
title2<<"Card "<<carddata->CardID<<" Pedistal Variation: "<<(now->tm_year + 1900) << '-' << (now->tm_mon + 1) << '-' << now->tm_mday<<','<<now->tm_hour<<':'<<now->tm_min<<':'<<now->tm_sec;
//std::cout<<"d28"<<std::endl;
PedTime[carddata->CardID].at(maxplot).SetTitle(title2.str().c_str());
PedTime[carddata->CardID].at(maxplot).GetXaxis()->SetTitle("Samples");
PedTime[carddata->CardID].at(maxplot).GetYaxis()->SetTitle("ADC Value");
PedTime[carddata->CardID].at(maxplot).SetLineColor((maxplot%4)+1);
PedTime[carddata->CardID].at(maxplot).Draw();
TLegend leg3(0.8,0.4,1.0,0.7);
//std::cout<<"d29"<<std::endl;
for(int j=0;j<4;j++){
//std::cout<<"d30"<<std::endl;
std::stringstream legend;
legend<<"Channel "<<j;
leg3.AddEntry(&PedTime[carddata->CardID].at(j),legend.str().c_str(),"l");
PedTime[carddata->CardID].at(j).SetLineColor((j%4)+1);
PedTime[carddata->CardID].at(j).Draw("same");
}
//std::cout<<"d31"<<std::endl;
leg3.Draw();
//std::cout<<"d6"<<std::endl;
tmp2.str("");
tmp2<<outpath<<"plots2/"<<carddata->CardID<<"PedTime.jpg";
c1.SaveAs(tmp2.str().c_str());
PedRMSTime[carddata->CardID].at(0).Draw();
for (int channel=1;channel<4;channel++){
PedRMSTime[carddata->CardID].at(channel).Draw("same");
}
tmp2.str("");
tmp2<<outpath<<"plots2/"<<carddata->CardID<<"PedRMSTime.jpg";
c1.SaveAs(tmp2.str().c_str());
delete carddata;
} /// size i
/*
//std::cout<<"d4"<<std::endl;
int maxplot=0;
long maxvalue=0;
for(int i=0;i<freqplots.size();i++){
if (freqplots.at(i).GetMaximum()>maxvalue){
maxvalue=freqplots.at(i).GetMaximum();
maxplot=i;
}
}
freqplots.at(maxplot).SetLineColor(maxplot+1);
freqplots.at(maxplot).Draw();
for(int i=0;i<freqplots.size();i++){
// Double_t scale = 1/freqplots.at(i).GetMaximum();
// freqplots.at(i).Scale(scale);
freqplots.at(i).SetLineColor(i+1);
if(i==maxplot);//freqplots.at(i).Draw();
else freqplots.at(i).Draw("same");
//freqplots.at(i).Scale((1.0/scale));
}
std::cout<<"d5"<<std::endl;
std::stringstream tmp;
tmp<<outpath<<"freq.jpg";
c1.SaveAs(tmp.str().c_str());
for(int i=0;i<temporalplots.size();i++){
temporalplots.at(i).SetLineColor(i+1);
if(i==0)temporalplots.at(i).Draw();
else temporalplots.at(i).Draw("same");
}
std::cout<<"d6"<<std::endl;
std::stringstream tmp2;
tmp2<<outpath<<"temporal.jpg";
c1.SaveAs(tmp2.str().c_str());
*/
//std::cout<<"d33"<<std::endl;
/////////plot event display /////////
EventDisplay.Draw("COLZ");
std::stringstream tmp3;
tmp3<<outpath<<"0EventDisplay.jpg";
c1.SaveAs(tmp3.str().c_str());
//std::cout<<"d34 ="<<mg.size()<<std::endl;
/////////plot RMS display /////////
RMSDisplay.Draw("COLZ");
tmp3.str("");
tmp3<<outpath<<"0RMSDisplay.jpg";
c1.SaveAs(tmp3.str().c_str());
///plot atempted 3d event display///////
tmp3.str("");
if(mg.size()>0) mg.at(0)->Draw();
for(int plots=1;plots<mg.size();plots++){
mg.at(plots)->Draw("same");
//std::cout<<"d35"<<std::endl;
}
tmp3<<outpath<<"0EventDisplay3D.jpg";
//c1.SaveAs(tmp3.str().c_str());
}
else if(arg1=="Quit"){
