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XSDiffUnfold.C
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#include "TFile.h"
#include "TH1F.h"
#include "TInterpreter.h"
#include "../DY.C"
#include "../Top.C"
#include "TSVDUnfold.h"
#include "TRandom.h"
#include "TH1D.h"
#include <iostream>
#include "TVectorD.h"
#include "TMatrixD.h"
using std::cout;
using std::endl;
gSystem->Load("libRooUnfold");
#include "src/RooUnfoldResponse.h"
#include "src/RooUnfoldBayes.h"
#include "src/RooUnfoldSvd.h"
#include "src/RooUnfoldTUnfold.h"
const Double_t nlo8tev = 1;//57.25; // [pb]
const Double_t nlo8tevPlus = 4.2 * nlo8tev / 1e2;
const Double_t nlo8tevMinus = 2.2 * nlo8tev / 1e2;
const Double_t CMS8tev = 1;//56.87;//63.53; // [pb]
const Double_t CMS8tev_err = 5.55; // [pb]
const Double_t CMSFidutial8tev = 57.25; // [pb]
const Double_t BR_WW_to_lnln = (3 * 0.108) * (3 * 0.108);
const Double_t ggWW_xs = nlo8tev * BR_WW_to_lnln * 0.03;
const Double_t qqWW_xs = nlo8tev * BR_WW_to_lnln * 0.97;
const Double_t NTotalggWW = 109987;
const Double_t NTotalqqWW = 1933235;
const Double_t NFiducialggWW = 67977; // pt > 20, |eta| < 2.5
const Double_t NFiducialqqWW = 1050807; // pt > 20, |eta| < 2.5
const UInt_t Nsyst = 11;
const UInt_t nchannels = 7;
TString channel [nchannels] = {"All", "SF", "OF", "MuMu", "EE", "EMu", "MuE" };
enum {All, SF, OF, MuMu, EE, EMu, MuE};
//------------------------------------------------------------------------------
// XS
//------------------------------------------------------------------------------
void XSDiffUnfold(Double_t luminosity = 19468,
Int_t njet = 0,
TString channel = channel[OF],
TString directory = "rootfiles.Diff",
Bool_t useDataDriven = false,
Int_t printLevel = 0,
Bool_t fiducial = false,
Int_t differential = 0,
Bool_t drawTheXS = true,
Bool_t drawRatio = 1,
Int_t verbose = 1,
Bool_t useOvf = 1
)
{
TH1::SetDefaultSumw2();
gInterpreter->ExecuteMacro("../draw/ChargeRatioStyle.C");
TString dyChannel = "SF";
if (channel.Contains("EE")) dyChannel = "EE";
if (channel.Contains("MuMu")) dyChannel = "MuMu";
Double_t dyScaleFactor = -999;
Double_t dyScaleFactorForTop = 1; Double_t topScaleFactor = -999;
Double_t NTop_incl [3];
Double_t NDY_incl [3];
// Needed to always have the SF DY scale factor in the top estimation
//----------------------------------------------------------------------------
if ( useDataDriven ) {
Top(NTop_incl[0],
NTop_incl[1],
NTop_incl[2],
topScaleFactor,
dyScaleFactorForTop,
njet,
"OF", // "All" --> channel (individual topScaleFactor)
directory,
useDataDriven,
printLevel);
}
//----------------------------------------
// differential == 0 --> leading lepton pt
//----------------------------------------
printf("\n");
printf(" nlo8tev xs = %.2f pb", nlo8tev );
printf(" CMS8tev xs = %.2f pb", CMS8tev );
printf(" CMSFidutial8tev xs = %.2f pb", CMSFidutial8tev );
// Input files
//----------------------------------------------------------------------------
TString path = Form("../%s/%djet/%s/", directory.Data(), njet, channel.Data());
TFile* inputWW = new TFile(path + "WW.root");
TFile* inputggWW = new TFile(path + "ggWWto2L.root");
TFile* inputqqWW = new TFile(path + "WWTo2L2Nu.root");
TFile* inputqqWW_pow = new TFile(path + "WWTo2L2Nu_pow.root");
TFile* inputqqWW_mc = new TFile(path + "WWTo2L2Nu_mcnlo.root");
TFile* inputTT = new TFile(path + "TTbar.root");
TFile* inputTW = new TFile(path + "TW.root");
TFile* inputWj = new TFile(path + "WJetsFakes_Total.root");
TFile* inputWZ = new TFile(path + "WZ.root");
TFile* inputZZ = new TFile(path + "ZZ.root");
TFile* inputDY = new TFile(path + "DY.root");
TFile* inputDYtautau = new TFile(path + "DYtautau.root");
TFile* inputWg = new TFile(path + "Wgamma.root");
TFile* inputH125 = new TFile(path + "HWW125.root");
TFile* inputZgamma = new TFile(path + "Zgamma.root");
TFile* inputData = new TFile(path + "DataRun2012_Total.root");
TFile* inputWW_GEN_pow = new TFile("files/WW_GEN_0jet_pow_gg_full.root"); //for doing unfolding
TFile* inputWW_GEN_mad = new TFile("files/WW_GEN_0jet_mad_gg_full.root"); //for doing unfolding
TFile* inputWW_GEN_mcnlo = new TFile("files/WW_GEN_0jet_mcnlo_gg_full.root"); //for doing unfolding
//----------------------------------------------------------------------------
//
// Estimate WW differential cross-section
//
//
//----------------------------------------------------------------------------
// [0] pt Lepton 1
TString distribution = "";
TString genDistribution = "";
TString recoDistribution = "";
TString response = "";
if ( differential == 0 ) {
distribution = "hPtLepton1WWLevel_Diff";
response = "hPtLepton1WWLevel_RECO_hPtLepton1WWLevel_GEN";
genDistribution = "hPtLepton1_GEN";
}
if ( differential == 1 ) {
distribution = "hDileptonWWLevel_Diff";
response = "hDileptonWWLevel_RECO_hDileptonWWLevel_GEN";
genDistribution = "hDilepton_GEN";
}
if ( differential == 2 ) {
distribution = "hMinvWWLevel_Diff";
response = "hmllWWLevel_RECO_hmllWWLevel_GEN";
genDistribution = "hmll_GEN";
}
if ( differential == 3 ) {
distribution = "hDeltaPhiWWLevel_Diff";
response = "hdphiWWLevel_RECO_hdphiWWLevel_GEN";
genDistribution = "hdphi_GEN";
}
TKey *key = inputWW->FindKey(distribution);
if (key ==0){
cout << " " << endl;
cout << "!!Histogram does not exist!!" << endl;
cout << " " << endl;
}
TH1F* hNWW, *hNggWW, *hNqqWW_mad, *hNqqWW_pow, *hNqqWW_mcnlo, *hNqqWW_mc, *hNTT, *hNTW, *hNZgamma;
TH1F* hNWj, *hNWZ, *hNZZ, *hNDY, *hNDYtautau;
TH1F* hNWg, *hNH125, *hNData;
TH1F* hNDYOF, * hNDYSF;
Int_t NBins;
// SIGNAL
hNWW = (TH1F*) inputWW ->Get(distribution);
NBins = hNWW->GetNbinsX();
hNggWW = (TH1F*) inputggWW ->Get(distribution);
hNqqWW_mad = (TH1F*) inputWW_GEN_mad ->Get(genDistribution);
hNqqWW_pow = (TH1F*) inputWW_GEN_pow ->Get(genDistribution);
hNqqWW_mcnlo = (TH1F*) inputWW_GEN_mcnlo ->Get(genDistribution);
hNqqWW_mc = (TH1F*) inputqqWW_mc ->Get(distribution);
// BACKGROUNDS
hNTT = (TH1F*) inputTT ->Get(distribution);
hNTW = (TH1F*) inputTW ->Get(distribution);
hNWj = (TH1F*) inputWj ->Get(distribution);
hNWZ = (TH1F*) inputWZ ->Get(distribution);
hNZZ = (TH1F*) inputZZ ->Get(distribution);
hNDY = (TH1F*) inputDY ->Get(distribution);
hNDYtautau = (TH1F*) inputDYtautau->Get(distribution);
hNWg = (TH1F*) inputWg ->Get(distribution);
hNH125 = (TH1F*) inputH125 ->Get(distribution);
hNZgamma = (TH1F*) inputZgamma ->Get(distribution);
hNData = (TH1F*) inputData ->Get(distribution);
// Define data - background distributions
//----------------------------------------------------------------------------
TH1F *WWdata = (TH1F*) hNData->Clone();
WWdata->Add(hNTT,-1.0);
WWdata->Add(hNTW,-1.0);
WWdata->Add(hNWj,-1.0);
WWdata->Add(hNWZ,-1.0);
WWdata->Add(hNZZ,-1.0);
WWdata->Add(hNDY,-1.0);
WWdata->Add(hNDYtautau,-1.0);
WWdata->Add(hNH125,-1.0);
WWdata->Add(hNZgamma ,-1.0);
WWdata->Add(hNWg,-1.0);
WWdata->SetName(distribution);
// DoUnfold of data- background
//----------------------------------------------------------------------------
const RooUnfoldResponse *responseFinal = inputWW_GEN_pow->Get(response);
/// To be included also the underflow bin
if (useOvf ) responseFinal->UseOverflow();
int kreg = 3;
//initialize SVD unfolding
RooUnfoldSvd unfold(responseFinal, WWdata,1);
unfold.SetRegParm(kreg);
//initialize Bayesian unfolding
//RooUnfoldBayes unfold(responseFinal, WWdata,4);
//initialize ML unfolding
//RooUnfoldInvert unfold(responseFinal, WWdata);
//setup error type
unfold.SetNToys(1000);
RooUnfold::ErrorTreatment *doerror = 2;//RooUnfold::kCovariance;
if (verbose > 0 ) {
RooUnfoldParms *parms= new RooUnfoldParms(&unfold,(RooUnfold::ErrorTreatment)doerror, hNqqWW_pow);
parms->SetMinParm(1);
parms->SetMaxParm(NBins+1);
// parms->SetStepSizeParm(1);
TProfile *hParmChi2= parms->GetChi2();
TProfile *hParmErr= parms->GetRMSError(); // Mean values of errors in each bin.
TProfile *hParmRes= parms->GetMeanResiduals();
TH1 *hParmRms= parms->GetRMSResiduals();
// ----> create matrix to store covariance matrix
//==============================================================================
if (useOvf) NBins = NBins+2;
TMatrixD m_covMat (NBins,NBins);
m_covMat = unfold.Ereco((RooUnfold::ErrorTreatment)doerror);
TMatrixD m_errMat(NBins,NBins);
for (Int_t i=0; i<NBins; i++) {
for (Int_t j=0; j<NBins; j++) {
m_errMat(i,j)= m_covMat(i,j)>=0 ? sqrt(m_covMat(i,j)) : -sqrt(-m_covMat(i,j));
}
}
unfold.PrintTable (cout, hNqqWW_pow, (RooUnfold::ErrorTreatment)doerror);
PrintMatrix(m_errMat,"","covariance matrix",10);
TH2D *hCorr = CorrelationHist ( m_covMat,
"corr", "Unfolded correlation matrix",
responseFinal->Hresponse()->GetYaxis()->GetXmin(),
responseFinal->Hresponse()->GetYaxis()->GetXmax(),
useOvf);
//if (useOvf) NBins = NBins-2;
// ----> Returns d vector (for choosing appropriate regularisation)
//==============================================================================
TCanvas * param = new TCanvas("param", "param", 550, 550);
param->cd();
TSVDUnfold *myTSVD = (TSVDUnfold*) unfold.Impl();
TH1D *svVector = myTSVD->GetSV();
TH1D *dVector = myTSVD->GetD();
TH1D *dzVector = (TH1D*) dVector->Clone();
double tau = svVector->GetBinContent(kreg+1);
for (int i=1; i < NBins; i++) {
double Si = svVector->GetBinContent(i);
double scale = (Si*Si)/((Si*Si)+(tau*tau));
double di = dVector->GetBinContent(i);
dzVector->SetBinContent(i, di*scale);
}
dVector->GetYaxis()->SetTitle("d_{i}");
dVector->GetXaxis()->SetTitle("i");
if (differential == 0) dVector->SetTitle("SVD unfolding d_{i} for p_{T}^{max}");
if (differential == 1) dVector->SetTitle("SVD unfolding d_{i} for dp_{T}(ll)");
if (differential == 2) dVector->SetTitle("SVD unfolding d_{i} for m_{#font[12]{ll}}");
if (differential == 3) dVector->SetTitle("SVD unfolding d_{i} for #Delta#phi_{ll}");
dVector->SetMarkerStyle(4);
dVector->DrawCopy("hist");
dzVector->SetLineStyle(2);
dzVector->SetLineWidth(2);
dzVector->SetLineColor(kRed);
dzVector->Draw("histSAME");
TLine().DrawLine(dVector->GetBinLowEdge(1), 1.0, dVector->GetBinLowEdge(NBins+1), 1.0); // draw a line at y=0;
} // end verbose
// ----> get unfolded histogram
//==============================================================================
TH1F* h_dataReco_unfolded = (TH1F*) unfold.Hreco((RooUnfold::ErrorTreatment)doerror);
if (verbose > 0 ) {
TCanvas * residual = new TCanvas("residual", "residual", 550, 550);
residual->cd();
// ----> Calculate pulls and residuals
//==============================================================================
TH1F *hRes = (TH1F*) h_dataReco_unfolded->Clone("res");
hRes ->Reset();
hRes ->SetTitle ("Residuals");
TH1F *hRes_up1s = (TH1F*) hNqqWW_pow->Clone("res");
TH1F *hRes_up2s = (TH1F*) hNqqWW_pow->Clone("res");
TH1F *hRes_down1s = (TH1F*) hNqqWW_pow->Clone("res");
TH1F *hRes_down2s = (TH1F*) hNqqWW_pow->Clone("res");
TH1F *hPulls= (TH1F*) h_dataReco_unfolded->Clone("pulls");
hPulls->Reset();
hPulls->SetTitle ("Pulls");
TH1F *h_mcTruth = hNqqWW_mcnlo->Clone("res");
for (Int_t i= 1; i<=NBins; i++) {
if ((h_dataReco_unfolded->GetBinContent(i)!=0.0 || (doerror && h_dataReco_unfolded->GetBinError(i)>0.0)) &&
( h_mcTruth->GetBinContent(i)!=0.0 || (doerror && h_mcTruth->GetBinError(i)>0.0))) {
Double_t res= h_dataReco_unfolded->GetBinContent(i) - h_mcTruth->GetBinContent(i);
Double_t err= h_dataReco_unfolded->GetBinError (i);
Double_t Err = h_mcTruth->GetBinError (i);
Double_t Bias = Err;
hRes->SetBinContent (i, res);
hRes->SetBinError (i, err);
hRes_up1s->SetBinContent(i, Bias);
hRes_up2s->SetBinContent(i, 2*Bias);
hRes_down1s->SetBinContent(i, -Bias);
hRes_down2s->SetBinContent(i, -2*Bias);
if (err>0.0) {
hPulls->SetBinContent (i, res/err);
hPulls->SetBinError (i, 1.0);
}
}
}
hRes->Draw();
hRes_up2s->Draw("histsame");
hRes_down2s->Draw("histsame");
hRes_up2s->SetFillColor(kYellow);
hRes_up2s->SetFillStyle(3004);
hRes_up2s->SetLineColor(kYellow);
hRes_down2s->SetFillColor(kYellow);
hRes_down2s->SetFillStyle(3004);
hRes_down2s->SetLineColor(kYellow);
hRes_up1s->Draw("histsame");
hRes_down1s->Draw("histsame");
hRes_up1s->SetFillColor(kGreen);
hRes_up1s->SetFillStyle(3002);
hRes_up1s->SetLineColor(kGreen);
hRes_down1s->SetFillColor(kGreen);
hRes_down1s->SetFillStyle(3002);
hRes_down1s->SetFillStyle(3002);
hRes_down1s->SetLineColor(kGreen);
hRes->SetMarkerStyle(kFullDotLarge);
hRes->Draw("same");
TLine().DrawLine(hRes->GetBinLowEdge(1), 0.0, hRes->GetBinLowEdge(NBins+1), 0.0); // draw a line at y=0;
}
// ----> get yields
//==============================================================================
const unsigned int bin = NBins;
Double_t NData [bin][4];
Double_t NqqWW_pow [bin][4];
Double_t NqqWW_mad [bin][4];
Double_t NqqWW_mcnlo [bin][4];
for (int ib=0; ib < bin; ib++) {
NData[ib][0] = h_dataReco_unfolded ->GetBinContent(ib+1); NData[ib][1] = h_dataReco_unfolded ->GetBinWidth(ib+1);
NData[ib][2] = h_dataReco_unfolded ->GetBinError(ib+1); NData[ib][3] = 0.0;
NqqWW_pow [ib][0] = hNqqWW_pow ->GetBinContent(ib+1); NqqWW_pow [ib][1] = hNqqWW_pow ->GetBinWidth(ib+1);
NqqWW_pow [ib][2] = hNqqWW_pow ->GetBinError(ib+1); NqqWW_pow [ib][3] = 0.0;
NqqWW_mad [ib][0] = hNqqWW_mad ->GetBinContent(ib+1); NqqWW_mad [ib][1] = hNqqWW_mad ->GetBinWidth(ib+1);
NqqWW_mad [ib][2] = hNqqWW_mad ->GetBinError(ib+1); NqqWW_mad [ib][3] = 0.0;
NqqWW_mcnlo [ib][0] = hNqqWW_mcnlo ->GetBinContent(ib+1); NqqWW_mcnlo [ib][1] = hNqqWW_mcnlo ->GetBinWidth(ib+1);
NqqWW_mcnlo [ib][2] = hNqqWW_mcnlo ->GetBinError(ib+1); NqqWW_mcnlo [ib][3] = 0.0;
}
// ----> compute differential WW Xsec on data
//==============================================================================
Double_t xsUnfold [bin];
Double_t xsUnfold_stat [bin];
TH1F *xsValue = (TH1F*) hNWW->Clone();
for (int ib=0; ib < bin; ib++) {
cout<< NData[ib][0]<< endl;
xsUnfold [ib] = NData[ib][0] / (luminosity * CMS8tev * NData[ib][1] * BR_WW_to_lnln);
xsUnfold_stat [ib] = NData[ib][2] / (luminosity * CMS8tev * NData[ib][1] * BR_WW_to_lnln);
xsValue->SetBinContent(ib+1, xsUnfold[ib]);
xsValue->SetBinError(ib+1, xsUnfold_stat [ib]);
}
// ----> compute differential WW Xsec for MADGRAPH MC samples
//==============================================================================
Double_t xsMadgraph[bin];
Double_t xsMadgraph_stat[bin];
TH1F *xsValue_Madgraph = (TH1F*) hNWW->Clone();
for (int ib=0; ib < bin; ib++) {
xsMadgraph[ib] = NqqWW_mad [ib][0] / (luminosity * nlo8tev * NqqWW_mad[ib][1] * BR_WW_to_lnln);
xsMadgraph_stat[ib] = NqqWW_mad [ib][2] / (luminosity * nlo8tev * NqqWW_mad[ib][1] * BR_WW_to_lnln);
xsValue_Madgraph->SetBinContent(ib+1, xsMadgraph [ib]);
xsValue_Madgraph->SetBinError(ib+1, xsMadgraph_stat [ib]);
}
// ----> compute differential WW Xsec for POWHEG MC samples
//==============================================================================
Double_t xsPowheg[bin];
Double_t xsPowheg_stat[bin];
TH1F *xsValue_Powheg = (TH1F*) hNWW->Clone();
for (int ib=0; ib < bin; ib++) {
xsPowheg[ib] = NqqWW_pow [ib][0] / (luminosity * nlo8tev * NqqWW_pow[ib][1] * BR_WW_to_lnln);
xsPowheg_stat[ib] = NqqWW_pow [ib][2] / (luminosity * nlo8tev * NqqWW_pow[ib][1] * BR_WW_to_lnln);
xsValue_Powheg->SetBinContent(ib+1, xsPowheg [ib]);
xsValue_Powheg->SetBinError(ib+1, xsPowheg_stat [ib]);
}
// ----> compute differential WW Xsec for MCNLO MC samples
//==============================================================================
Double_t xsMCnlo[bin];
Double_t xsMCnlo_stat[bin];
TH1F *xsValue_MCnlo = (TH1F*) hNWW->Clone();
for (int ib=0; ib < bin; ib++) {
xsMCnlo[ib] = NqqWW_mcnlo [ib][0] / (luminosity * nlo8tev * NqqWW_mcnlo[ib][1] * BR_WW_to_lnln);
xsMCnlo_stat[ib] = NqqWW_mcnlo [ib][2] / (luminosity * nlo8tev * NqqWW_mcnlo[ib][1] * BR_WW_to_lnln);
xsValue_MCnlo->SetBinContent(ib+1, xsMCnlo [ib]);
xsValue_MCnlo->SetBinError(ib+1, xsMCnlo_stat [ib]);
}
if( drawTheXS) {
TCanvas* canvas ;
TPad *pad1, *pad2;
if (drawRatio) {
canvas = new TCanvas("wwxs", "wwxs", 550, 1.2*600);
pad1 = new TPad("pad1", "pad1", 0, 0.3, 1, 1);
pad1->SetTopMargin (0.05);
pad1->SetBottomMargin(0.02);
pad1->Draw();
pad2 = new TPad("pad2", "pad2", 0, 0, 1, 0.31);
pad2->SetTopMargin (0.08);
pad2->SetBottomMargin(0.35);
pad2->Draw();
} else {
canvas = new TCanvas("wwxs", "wwxs", 550, 550);
}
if (drawRatio) pad1->cd();
//-- Plot Powheg
xsValue_Powheg->SetLineColor(kGreen+2);
xsValue_Powheg->SetMarkerColor(kGreen+2);
xsValue_Powheg->SetLineWidth(2);
//-- Plot Madgraph
xsValue_Madgraph->SetLineColor(kRed);
xsValue_Madgraph->SetMarkerColor(kRed);
xsValue_Madgraph->SetLineWidth(2);
xsValue_Madgraph->SetLineStyle(2);
//-- Plot Madgraph
xsValue_MCnlo->SetLineColor(kBlue);
xsValue_MCnlo->SetMarkerColor(kBlue);
xsValue_MCnlo->SetLineWidth(2);
xsValue_MCnlo->SetLineStyle(3);
//-- Plot Data
xsValue->SetMarkerStyle(kFullCircle);
TString title = Form("CMS preliminary (%s)", channel.Data() );
//xsValue->SetTitle(title);
xsValue->SetTitleSize(0.040);
if (differential == 0) xsValue->GetYaxis()->SetTitle("#frac{d#sigma}{dp_{T}^{max}}");//("#frac{1}{#sigma} #frac{d#sigma}{dp_{T}^{max}}");
if (differential == 1) xsValue->GetYaxis()->SetTitle("#frac{1}{#sigma} #frac{d#sigma}{dp_{T}(ll)}");
if (differential == 2) xsValue->GetYaxis()->SetTitle("#frac{1}{#sigma} #frac{d#sigma}{dm_{#font[12]{ll}}}");
if (differential == 3) xsValue->GetYaxis()->SetTitle("#frac{1}{#sigma} #frac{d#sigma}{d#Delta#phi_{ll}}");
xsValue->GetYaxis()->SetTitleOffset(1.6);
if (differential == 0) xsValue->GetXaxis()->SetTitle("p_{T}^{max}");
if (differential == 1) xsValue->GetXaxis()->SetTitle("p_{T}(ll)");
if (differential == 2) xsValue->GetXaxis()->SetTitle("m_{#font[12]{ll}}");
if (differential == 3) xsValue->GetXaxis()->SetTitle("#Delta#phi_{ll}");
xsValue->GetXaxis()->SetTitleOffset(1.6);
xsValue->Draw("e1p");
xsValue_Powheg->Draw("hist,same");
xsValue_Madgraph->Draw("hist,same");
xsValue_MCnlo->Draw("hist,same");
xsValue->Draw("e1p,same");
// Legend
//----------------------------------------------------------------------------
TLegend* legend = new TLegend(0.85, 0.65, 0.65, 0.89);
SetLegendStyle(legend);
legend->AddEntry(xsValue, "Data", "P");
legend->AddEntry(xsValue_Powheg, "Powheg", "L");
legend->AddEntry(xsValue_Madgraph, "Madgraph", "L");
legend->AddEntry(xsValue_MCnlo, "MCNLO", "L");
// Put everything together
//----------------------------------------------------------------------------
legend->Draw("same");
// Draw also ratio
//----------------------------------------------------------------------------
if (drawRatio) {
pad2->cd();
TH1F* ratio_pow = xsValue_Powheg->Clone("ratio");
TH1F* ratio_mad = xsValue_Madgraph->Clone("ratio");
TH1F* ratio_mcnlo = xsValue_MCnlo->Clone("ratio");
TH1F* ratioErr = xsValue->Clone("ratio");
for (UInt_t ibin=1; ibin<=ratio->GetNbinsX(); ibin++) {
Double_t powValue = xsValue_Powheg->GetBinContent(ibin);
Double_t powError = xsValue_Powheg->GetBinError (ibin);
Double_t madValue = xsValue_Madgraph->GetBinContent(ibin);
Double_t madError = xsValue_Madgraph->GetBinError (ibin);
Double_t mcnloValue = xsValue_MCnlo->GetBinContent(ibin);
Double_t mcnloError = xsValue_MCnlo->GetBinError (ibin);
Double_t dataValue = xsValue->GetBinContent(ibin);
Double_t dataError = xsValue->GetBinError (ibin);
Double_t ratioValue_pow = (powValue > 0) ? dataValue/powValue : 0.0;
Double_t ratioError_pow = (powValue > 0) ? dataError/powValue : 0.0;
Double_t ratioValue_mad = (madValue > 0) ? dataValue/madValue : 0.0;
Double_t ratioError_mad = (madValue > 0) ? dataError/madValue : 0.0;
Double_t ratioValue_mcnlo = (mcnloValue > 0) ? dataValue/mcnloValue : 0.0;
Double_t ratioError_mcnlo = (mcnloValue > 0) ? dataError/mcnloValue : 0.0;
Double_t uncertaintyError = (dataValue > 0) ? dataError/dataValue : 0.0;
ratio_pow->SetBinContent(ibin, ratioValue_pow);
ratio_pow->SetBinError (ibin, ratioError_pow);
ratio_mad->SetBinContent(ibin, ratioValue_mad);
ratio_mad->SetBinError (ibin, ratioError_mad);
ratio_mcnlo->SetBinContent(ibin, ratioValue_mcnlo);
ratio_mcnlo->SetBinError (ibin, ratioError_mcnlo);
ratioErr->SetBinContent(ibin, 1.0);
ratioErr->SetBinError (ibin, uncertaintyError);
}
ratioErr->SetTitle("");
ratioErr ->Draw("e2");
ratio_pow ->Draw("ep,same");
ratio_pow ->SetLineColor(kGreen+2);
ratio_pow ->SetMarkerSize(1.0);
ratio_pow ->SetLineWidth(2);
ratio_pow ->SetMarkerStyle(20);
ratio_mad ->Draw("ep,same");
ratio_mad ->SetLineColor(kRed);
ratio_mad ->SetMarkerSize(1.0);
ratio_mad ->SetLineWidth(2);
ratio_mad ->SetMarkerStyle(20);
ratio_mcnlo ->Draw("ep,same");
ratio_mcnlo ->SetLineColor(kBlue);
ratio_mcnlo ->SetMarkerSize(1.0);
ratio_mcnlo ->SetLineWidth(2);
ratio_mcnlo ->SetMarkerStyle(20);
ratioErr->SetLineColor(kBlue);
ratioErr->SetFillColor (kGray+2);
ratioErr->SetFillStyle ( 3345);
ratioErr->SetLineColor (kGray+2);
ratioErr->SetMarkerColor(kGray+2);
ratioErr->SetMarkerSize ( 0);
ratioErr->GetYaxis()->SetRangeUser(0.4, 1.6);
Pad2TAxis(ratioErr, xsValue->GetXaxis()->GetTitle(), "unfolded / generated");
}
// And save it
//----------------------------------------------------------------------------
cout << xsValue->Integral() << endl;
TString addedDistribution;
if (differential == 0) addedDistribution = "pt1";
if (differential == 1) addedDistribution = "ptll";
if (differential == 2) addedDistribution = "mll";
if (differential == 3) addedDistribution = "dphill";
TString file = Form("pdf/wwxsec_%djet_%s_%s.pdf", njet, channel.Data(), addedDistribution.Data());
canvas->SaveAs(file);
}
}
//==============================================================================
//Tool for computing and printing correlation matrix
//==============================================================================
TH2D* CorrelationHist (const TMatrixD& cov,
const char* name, const char* title,
Double_t lo, Double_t hi, Bool_t _useOvf)
{
// correlation coef == cov(xy)/(sigmay*sigmay);
Int_t nb= cov.GetNrows();
TH2D* h;
h = new TH2D (name, title, nb, lo, hi, nb, lo, hi);
if (_useOvf ) h = new TH2D (name, title, nb-2, lo, hi, nb-2, lo, hi);
h->SetAxisRange (-1.0, 1.0, "Z");
if (_useOvf) nb = nb-2;
for(int i=0; i < nb; i++) {
for(int j=0; j < nb; j++) {
if (_useOvf ) {
Double_t Viijj= cov(i+1,i+1)*cov(j+1,j+1);
h->SetBinContent (i+1, j+1, cov(i+1,j+1)/sqrt(Viijj));
} else {
Double_t Viijj= cov(i,i)*cov(j,j);
h->SetBinContent (i+1, j+1, cov(i,j)/sqrt(Viijj));
}
}
}
return h;
}
//==============================================================================
//Tool for printing covariance matrix
//==============================================================================
void PrintMatrix(const TMatrixD& m, const char* format,
const char* name, Int_t cols_per_sheet)
{
// Print the matrix as a table of elements.
// Based on TMatrixTBase<>::Print, but allowing user to specify name and cols_per_sheet (also option -> format).
// By default the format "%11.4g" is used to print one element.
// One can specify an alternative format with eg
// format ="%6.2f "
if (!m.IsValid()) {
m.Error("PrintMatrix","%s is invalid",name);
return;
}
const Int_t ncols = m.GetNcols();
const Int_t nrows = m.GetNrows();
const Int_t collwb = m.GetColLwb();
const Int_t rowlwb = m.GetRowLwb();
if (!(format && format[0])) format= "%11.4g ";
char topbar[1000];
snprintf(topbar,1000,format,123.456789);
Int_t nch = strlen(topbar)+1;
if (nch > 18) nch = 18;
char ftopbar[20];
for (Int_t i = 0; i < nch; i++) ftopbar[i] = ' ';
Int_t nk = 1 + Int_t(log10(ncols));
snprintf(ftopbar+nch/2,20-nch/2,"%s%dd","%",nk);
Int_t nch2 = strlen(ftopbar);
for (Int_t i = nch2; i < nch; i++) ftopbar[i] = ' ';
ftopbar[nch] = '|';
ftopbar[nch+1] = 0;
printf("\n%dx%d %s is as follows",nrows,ncols,name);
if (cols_per_sheet <= 0) {
cols_per_sheet = 5;
if (nch <= 8) cols_per_sheet =10;
}
nk = 5+nch*(cols_per_sheet<ncols ? cols_per_sheet : ncols);
for (Int_t i = 0; i < nk; i++) topbar[i] = '-';
topbar[nk] = 0;
for (Int_t sheet_counter = 1; sheet_counter <= ncols; sheet_counter += cols_per_sheet) {
printf("\n\n |");
for (Int_t j = sheet_counter; j < sheet_counter+cols_per_sheet && j <= ncols; j++)
printf(ftopbar,j+collwb-1);
printf("\n%s\n",topbar);
if (m.GetNoElements() <= 0) continue;
for (Int_t i = 1; i <= nrows; i++) {
printf("%4d |",i+rowlwb-1);
for (Int_t j = sheet_counter; j < sheet_counter+cols_per_sheet && j <= ncols; j++)
printf(format,m(i+rowlwb-1,j+collwb-1));
printf("\n");
}
}
printf("\n");
}
//------------------------------------------------------------------------------
// SetLegendStyle
//------------------------------------------------------------------------------
void SetLegendStyle(TLegend* legend) {
legend->SetBorderSize( 0);
legend->SetFillColor ( 0);
legend->SetTextAlign ( 12);
legend->SetTextFont ( 42);
legend->SetTextSize ( 0.040);
}
//------------------------------------------------------------------------------
// Pad2TAxis
//------------------------------------------------------------------------------
void Pad2TAxis(TH1* hist, TString xtitle, TString ytitle)
{
TAxis* xaxis = (TAxis*)hist->GetXaxis();
TAxis* yaxis = (TAxis*)hist->GetYaxis();
xaxis->SetLabelFont ( 42);
xaxis->SetLabelOffset( 0.025);
xaxis->SetLabelSize ( 0.08);
xaxis->SetNdivisions ( 505);
xaxis->SetTitle (xtitle);
xaxis->SetTitleFont ( 42);
xaxis->SetTitleOffset( 1.35);
xaxis->SetTitleSize ( 0.1);
yaxis->CenterTitle ( );
yaxis->SetLabelFont ( 42);
yaxis->SetLabelOffset( 0.02);
yaxis->SetLabelSize ( 0.08);
yaxis->SetNdivisions ( 505);
yaxis->SetTitle (ytitle);
yaxis->SetTitleFont ( 42);
yaxis->SetTitleOffset( 0.75);
yaxis->SetTitleSize ( 0.08);
}