本文整理汇总了C++中TF1::Eval方法的典型用法代码示例。如果您正苦于以下问题：C++ TF1::Eval方法的具体用法？C++ TF1::Eval怎么用？C++ TF1::Eval使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类TF1的用法示例。
在下文中一共展示了TF1::Eval方法的15个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: vncent_sys_ratio
//.........这里部分代码省略.........
leg2->AddEntry(ge,"eff.(-2%)/Default","pl");
}
for (int im=0;im<1;im++)
{
int j=im*5+iw;
int col=4;
//if (ndp[j]==0) continue;
geB=new TGraphErrors(10,&nBRxa[j][0],&nBRya[j][0],&nBRxe[j][0],&nBRye[j][0]);
///drawSysBoxValue(ge,16,1.6, ye5sys[j]);
//drawSysBox(ge,16,2., sysXYZ[j]);
geB->SetTitle("");
geB->SetMarkerStyle(25);
// ge->SetMarkerStyle(msty[im]);
geB->SetMarkerSize(msiz[im]);
geB->SetMarkerColor(col);
geB->SetLineWidth(1.2);
geB->SetLineColor(col);
//ge->Draw("pe");
leg2->AddEntry(geB,"eff.(+2%)/Default","pl");
}
ge->Draw("pe");
geB->Draw("pe");
if (iw==2) leg2->Draw();
TLine *lines = new TLine(0,1,60,1);
lines->SetLineStyle(2);
lines->SetLineWidth(1);
lines->Draw();
if(iw==0||iw==1){
TF1 *fitFun = new TF1("fitFun","pol2", 0, 60);
fitFun->SetLineColor(4);
geB->Fit("fitFun","R+");
fitFun->Draw("same");
cout<<fitFun->Eval(2.5)<<", "<<fitFun->Eval(7.5)<<", "<<fitFun->Eval(45)<<", "<<fitFun->Eval(55)<<endl;
}
else {
TF1 *fitFun = new TF1("fitFun","pol0", 0, 60);
fitFun->SetLineColor(4);
geB->Fit("fitFun","R+");
fitFun->Draw("same");
cout<<fitFun->Eval(2.5)<<", "<<fitFun->Eval(7.5)<<", "<<fitFun->Eval(45)<<", "<<fitFun->Eval(55)<<endl;
}
double chi2 = fitFun->GetChisquare();
double ndf = fitFun->GetNDF();
TLatex *tex = new TLatex(10.06,0.6,Form("#chi^{2}/ndf = %2.1f", chi2/ndf));
//tex->SetNDC();
//tex->SetTextFont(42);
tex->SetTextColor(4);
tex->SetTextSize(16);
//tex->SetLineWidth(2);
tex->Draw("same");
//TLatex *text = new TLatex();
//text->DrawTextNDC(10.12, 1.14, "D0 Preliminary");
/*
double p0 = fitFun->GetParameter(0);
double p0Err = fitFun->GetParError(0);
TLine *linesErrP = new TLine(0,p0+p0Err,60,p0+p0Err);
linesErrP->SetLineStyle(2);
linesErrP->SetLineWidth(1);
linesErrP->SetLineColor(2);
linesErrP->Draw();
TLine *linesErrM = new TLine(0,p0-p0Err,60,p0-p0Err);
linesErrM->SetLineStyle(2);
linesErrM->SetLineWidth(1);
linesErrM->SetLineColor(2);
linesErrM->Draw();
*/
}
//end new
can->cd();
TLatex * tex = new TLatex(0.06,0.97,"CMS");
tex->SetNDC();
tex->SetTextFont(42);
tex->SetTextSize(0.034);
tex->SetLineWidth(2);
tex->Draw();
TLatex * tex = new TLatex(0.108,0.97,"Preliminary");
tex->SetNDC();
tex->SetTextFont(42);
tex->SetTextSize(0.044);
tex->SetLineWidth(2);
//tex->Draw();
TLatex * tex = new TLatex(0.24,0.970,"0.3<p_{T}<3.0 GeV/c |#eta|<0.8");
tex->SetNDC();
tex->SetTextFont(42);
tex->SetTextSize(0.044);
tex->SetLineWidth(2);
tex->Draw();
cout << "end of process" << endl;
can->cd();
can->Print("./figures/plot_vncent_esSys_ratio.png");
can->Print("./figures/plot_vncent_esSys_ratio.pdf");
}示例2: softrad
//.........这里部分代码省略.........
tex->DrawLatex(0.55,0.27-0.045*isample,
Form("#chi^{2}/NDF = %1.1f / %d",
fk->GetChisquare(), fk->GetNDF()));
tex->SetTextColor(kBlack);
// Error band
const int n = fk->GetNpar();
TMatrixD emat(n,n);
gMinuit->mnemat(emat.GetMatrixArray(), n);
TF1 *fke = new TF1(Form("fk_%s_%s_%s",ct,cm,cs),
sr_fitError, 30, 1300, 1);
_sr_fitError_func = fk;
_sr_fitError_emat = &emat;
fke->SetLineStyle(kSolid);
fke->SetLineColor(fk->GetLineColor()-10);
fke->SetParameter(0,-1);
fke->DrawClone("SAME");
fke->SetParameter(0,+1);
fke->DrawClone("SAME");
fk->DrawClone("SAME");
gk->DrawClone("SAME Pz");
// Store soft radiation corrections in fsr subdirectory
assert(fin->cd(ct));
assert(gDirectory->cd(bin));
if (!gDirectory->FindObject("fsr")) gDirectory->mkdir("fsr");
assert(gDirectory->cd("fsr"));
TH1D *hk = (TH1D*)(isample==0 ? hpt2->Clone() : hpt1->Clone());
hk->SetName(Form("hkfsr_%s_%s",cm,cs));
TProfile *ppt = (isample==0 ? ppt2 : ppt1);
if (isample==3) { ppt = ppt4; } // pas-v6
for (int i = 1; i != hk->GetNbinsX()+1; ++i) {
double pt = ppt->GetBinContent(i);
if (pt>30 && pt<1300) {
hk->SetBinContent(i, fk->Eval(pt));
hk->SetBinError(i, fabs(fke->Eval(pt)-fk->Eval(pt)));
}
else {
hk->SetBinContent(i, 0);
hk->SetBinError(i, 0);
}
}
hk->Write(hk->GetName(), TObject::kOverwrite);
// Factorize error matrix into eigenvectors
// Remember: A = Q*Lambda*Q^-1, where
// A is emat, Q is eigmat, and Lambda is a diagonal matrix with
// eigenvalues from eigvec on the diagonal. For eigenmatrix
// Q^-1 = Q^T, i.e. inverse matrix is the original transposed
TVectorD eigvec(n);
TMatrixD eigmat = emat.EigenVectors(eigvec);
// Eigenvectors are the columns and sum of eigenvectors squared
// equals original uncertainty. Calculate histograms from the
// eigenvectors and store them
TF1 *fkeig = (TF1*)fk->Clone(Form("%s_eig",fk->GetName()));
fkeig->SetLineStyle(kDotted);
for (int ieig = 0; ieig != n; ++ieig) {
// Eigenvector functions
for (int i = 0; i != n; ++i) {
fkeig->SetParameter(i, fk->GetParameter(i)
+ eigmat[i][ieig] * sqrt(eigvec[ieig]));
}
fkeig->DrawClone("SAMEL");
// Eigenvector histograms evaluated at bin mean pT
TH1D *hke = (TH1D*)hk->Clone(Form("%s_eig%d",hk->GetName(),ieig));
hke->Reset();
for (int i = 0; i != gk->GetN(); ++i) {
double pt = gk->GetX()[i];
int ipt = hke->FindBin(pt);
// Need to store central value as well, because
// uncertainty sources are signed
hke->SetBinContent(ipt, fkeig->Eval(pt)-fk->Eval(pt));
hke->SetBinError(ipt, fabs(fkeig->Eval(pt)-fk->Eval(pt)));
}
hke->Write(hke->GetName(), TObject::kOverwrite);
}
cout << "." << flush;
} // if tree
} // for isample
} // for imethod
} // for itype
c3->cd(0);
//cmsPrel(_lumi, true);
CMS_lumi(c3, 2, 33);
c3->SaveAs("pdf/softrad_2x6_kfsr.pdf");
fin->Close();
curdir->cd();
} // softrad示例3: makeTrees_MuTau
//.........这里部分代码省略.........
ptVeto = (veto>=0) ? (*jets)[veto].Pt() : -99;
etaVeto = (veto>=0) ? (*jets)[veto].Eta(): -99;
phiVeto = (veto>=0) ? (*jets)[veto].Phi(): -99;
isVetoInJets = 0;
for(int l = 0 ; l < indexes.size() ; l++){
if(lead>=0 && trail>=0 && (l!= lead && l!= trail) &&
(*jets)[indexes[l]].Pt()>PtVETO && ((*jets)[indexes[l]].Eta() - eta1)*((*jets)[indexes[l]].Eta() - eta2)<=0 )
isVetoInJets = 1;
}
diTauSVFitMass = (*diTauSVfitP4)[0].M();
diTauVisMass = (*diTauVisP4)[0].M();
diTauVisPt = (*diTauVisP4)[0].Pt();
diTauVisEta = (*diTauVisP4)[0].Eta();
diTauVisPhi = (*diTauVisP4)[0].Phi();
ptL1 = (*diTauLegsP4)[0].Pt();
ptL2 = (*diTauLegsP4)[1].Pt();
etaL1 = (*diTauLegsP4)[0].Eta();
etaL2 = (*diTauLegsP4)[1].Eta();
phiL1 = (*diTauLegsP4)[0].Phi();
phiL2 = (*diTauLegsP4)[1].Phi();
dPhiL1L2 = abs((*diTauLegsP4)[0].Phi()-(*diTauLegsP4)[1].Phi()) > TMath::Pi() ?
-abs( (*diTauLegsP4)[0].Phi()-(*diTauLegsP4)[1].Phi() ) + 2*TMath::Pi() :
abs( (*diTauLegsP4)[0].Phi()-(*diTauLegsP4)[1].Phi() ) ;
diTauCharge_ = diTauCharge;
////////////////////////////////////////////////////////////////////
float scalarSumPt = ( *diTauLegsP4)[0].Pt() + (*METP4)[0].Pt();
float vectorSumPt = ((*diTauLegsP4)[0] + (*METP4)[0]).Pt() ;
MtLeg1_ = TMath::Sqrt( scalarSumPt*scalarSumPt - vectorSumPt*vectorSumPt ) ;
MEt = (*METP4)[0].Et();
combRelIsoLeg1DBeta = (chIsoLeg1+ std::max( nhIsoLeg1+phIsoLeg1-0.5*(nhIsoPULeg1),double(0.0)))/(*diTauLegsP4)[0].Pt();
tightestHPSDBWP_ = tightestHPSDBWP;
visibleTauMass_ = visibleTauMass;
decayMode_ = decayMode;
numPV_ = numPV;
sampleWeight = scaleFactor;
puWeight = (std::string(sample.Data())).find("Data")!=string::npos ? 1.0 : pileupWeight(nPUVertices);
HqTWeight = histo!=0 ? histo->GetBinContent( histo->FindBin( (*genVP4)[0].Pt() ) ) : 1.0;
if((std::string(sample.Data())).find("Data")!=string::npos){
HLTx = float((*triggerBits)[0]); //HLT_IsoMu15_LooseIsoPFTau15_v8
bool isTriggMatched = (*tauXTriggers)[0] && (*tauXTriggers)[1] ; //hltSingleMuIsoL3IsoFiltered15 && hltOverlapFilterIsoMu15IsoPFTau15
HLTmatch = isTriggMatched ? 1.0 : 0.0;
HLTweightTau = 1.0;
HLTweightMu = 1.0;
SFTau = 1.0;
SFMu = 1.0;
}
else{
HLTx = float((*triggerBits)[0]); //HLT_IsoMu15_LooseIsoPFTau15_v9
bool isTriggMatched = (*tauXTriggers)[0] && (*tauXTriggers)[1] ; //hltSingleMuIsoL3IsoFiltered15 && hltOverlapFilterIsoMu15IsoPFTau15
HLTmatch = isTriggMatched ? 1.0 : 0.0;
HLTweightTau = TMath::Abs((*diTauLegsP4)[1].Eta())<1.5 ?
ratioTauHLTBL->Eval( (*diTauLegsP4)[1].Pt() ) : ratioTauHLTEC->Eval( (*diTauLegsP4)[1].Pt() );
HLTweightMu = TMath::Abs((*diTauLegsP4)[0].Eta())<1.5 ?
ratioMuHLTBL->Eval( (*diTauLegsP4)[0].Pt() ) : ratioMuHLTEC->Eval( (*diTauLegsP4)[0].Pt() );
SFTau = 1.0;
SFMu = TMath::Abs((*diTauLegsP4)[0].Eta())<1.5 ?
ratioMuIDIsoBL->Eval( (*diTauLegsP4)[0].Pt() ):
ratioMuIDIsoEC->Eval( (*diTauLegsP4)[0].Pt() );
}
muFlag_ = muFlag;
genDecay_ = genDecay ;
event_ = event;
run_ = run;
lumi_ = lumi;
outTreePtOrd->Fill();
}
file->Close();
if(SAVE) outFile->Write();
outFile->Close();
delete jets; delete diTauLegsP4; delete diTauVisP4; delete diTauSVfitP4; delete genDiTauLegsP4;
delete tauXTriggers; delete triggerBits;
delete METP4; delete genVP4; delete genMETP4;
delete HqT;
return;
}示例4: main
int main(int argc, char** argv){
///===============================================================================
gROOT->Reset();
gROOT->SetStyle("Plain");
gStyle->SetPalette(1);
gStyle->SetOptStat(1111);
gStyle->SetOptFit(111);
const Int_t __NRGBs = 5;
const Int_t __NCont = 76;
Double_t __stops[__NRGBs] = { 0.00, 0.34, 0.61, 0.84, 1.00 };
Double_t __red[__NRGBs] = { 0.00, 0.00, 0.87, 1.00, 0.51 };
Double_t __green[__NRGBs] = { 0.00, 0.81, 1.00, 0.20, 0.00 };
Double_t __blue[__NRGBs] = { 0.51, 1.00, 0.12, 0.00, 0.00 };
TColor::CreateGradientColorTable(__NRGBs, __stops, __red, __green, __blue, __NCont);
gStyle->SetNumberContours(__NCont);
///===============================================================================
if(argc != 2)
{
std::cerr << ">>>>> analysis.cpp::usage: " << argv[0] << " configFileName" << std::endl ;
return 1;
}
// Parse the config file
parseConfigFile (argv[1]) ;
std::string inputFile = gConfigParser -> readStringOption("Input::inputFile");
std::cout << ">>>>> Input::inputFile " << inputFile << std::endl;
TFile *_file0 = TFile::Open(inputFile.c_str());
double minReco = gConfigParser -> readDoubleOption("Options::minReco");
std::cout << ">>>>> Options::minReco " << minReco << std::endl;
TString Selection = Form("xRECO>%f",minReco);
std::cout << ">>>>> Selection = " << Selection.Data() << std::endl;
double maxTrue = gConfigParser -> readDoubleOption("Options::maxTrue");
std::cout << ">>>>> Options::maxTrue " << maxTrue << std::endl;
double maxReco = gConfigParser -> readDoubleOption("Options::maxReco");
std::cout << ">>>>> Options::maxReco " << maxReco << std::endl;
int binTrue = gConfigParser -> readIntOption("Options::binTrue");
std::cout << ">>>>> Options::binTrue " << binTrue << std::endl;
int binReco = gConfigParser -> readIntOption("Options::binReco");
std::cout << ">>>>> Options::binReco " << binReco << std::endl;
TTree* tree = (TTree*) _file0->Get("InputTree");
TCanvas cResult("cResult","cResult",800,400);
cResult.Divide(2,1);
TH2F h2("h2","h2",binReco,0,maxReco,binTrue,0,maxTrue);
TH1F h1RECO("h1RECO","h1RECO",binReco,0,maxReco);
TH1F h1MC("h1MC","h1MC",binTrue,0,maxTrue);
cResult.cd(1);
tree->Draw("xMC:xRECO >> h2",Selection.Data(),"colz");
h2.Draw("colz");
h2.GetXaxis()->SetTitle("RECO");
h2.GetYaxis()->SetTitle("TRUE");
h2.FitSlicesX();
TH1F* h2_1_X = (TH1F*) gDirectory->Get("h2_1");
h2_1_X->SetName("h2_1_X");
h2_1_X->SetLineWidth(2);
double x[1000];
double y[1000];
for (int iBin=0; iBin < h2_1_X->GetNbinsX(); iBin++){
y[iBin] = h2_1_X->GetBinCenter(iBin+1);
x[iBin] = h2_1_X->GetBinContent(iBin+1);
}
TGraph gr(h2_1_X->GetNbinsX(),x,y);
gr.SetMarkerSize(1);
gr.SetMarkerStyle(22);
gr.SetMarkerColor(kRed);
gr.Draw("Psame");
gPad->SetGrid();
double xMC[1000];
double yMC[1000];
TF1 *kFunction = new TF1("kFunction","1.3 + 0.001 * x - exp(-x/100)",0,2000);
for (int iBin=0; iBin < 1000; iBin++){
yMC[iBin] = (maxTrue) / 1000. * iBin;
xMC[iBin] = kFunction->Eval(yMC[iBin]) * yMC[iBin];
}
TGraph grMC(1000,xMC,yMC);
grMC.SetMarkerSize(0.5);
grMC.SetMarkerStyle(20);
//.........这里部分代码省略.........
示例5: line_width
void line_width() {
TCanvas *c1 = MakeCanvas("c1", "c1", 800, 600);
TF1 *fitPeak = new TF1("fitPeak", "[0]-[1]*([3]/2)^2/((x-[2])^2+([3]/2)^2)-[4]*([6]/2)^2/((x-[5])^2+([6]/2)^2)-[7]*([9]/2)^2/((x-[8])^2+([9]/2)^2)-[10]*([12]/2)^2/((x-[11])^2+([12]/2)^2)-[13]*([15]/2)^2/((x-[14])^2+([15]/2)^2)-[16]*([18]/2)^2/((x-[17])^2+([18]/2)^2)-[19]*(x-[20])**2",200, 2040);
char outfile[50];
vector<Double_t> linewidths;
vector<Double_t> linewidthsunc;
vector<Double_t> err1;
vector<Double_t> err2;
for (Int_t i=21; i<27; i++) {
TH1D *fecn = new TH1D("fecn", "fecn", 2048, 0, 2048);
TH1D *cal = new TH1D("cal", "cal", 2048, 0, 2048);
confParse("data_list.txt", i, fecn);
if ((i==21)||(i==26)) confParse("data_list.txt", 4, cal);
else confParse("data_list.txt", 30, cal);
fitPeak->SetParameter(0, 120);
fitPeak->SetParameter(1, 20);
fitPeak->SetParameter(2, 500);
fitPeak->SetParameter(3, 15);
fitPeak->SetParameter(4, 20);
fitPeak->SetParameter(5, 700);
fitPeak->SetParameter(6, 15);
fitPeak->SetParameter(7, 200);
fitPeak->SetParameter(8, 1000);
fitPeak->SetParameter(9, 15);
fitPeak->SetParameter(10, 20);
fitPeak->SetParameter(11, 1100);
fitPeak->SetParameter(12, 15);
fitPeak->SetParameter(13, 20);
fitPeak->SetParameter(14, 1400);
fitPeak->SetParameter(15, 15);
fitPeak->SetParameter(16, 20);
fitPeak->SetParameter(17, 1600);
fitPeak->SetParameter(18, 15);
cal->SetTitle("");
cal->GetXaxis()->SetTitle("MCA Channel");
cal->GetYaxis()->SetTitle("Counts");
cal->GetXaxis()->SetNdivisions(8,5,0);
cal->SetLineColor(kRed);
cal->Fit("fitPeak", "R");
sprintf(outfile, "linewidthcal%i.png", i);
c1->SaveAs(outfile);
vector<Double_t> peakPos;
vector<Double_t> peakPosUnc;
peakPos.push_back(fitPeak->GetParameter(2)); peakPosUnc.push_back(TMath::Sqrt(fabs(fitPeak->GetParameter(3))));
peakPos.push_back(fitPeak->GetParameter(5)); peakPosUnc.push_back(TMath::Sqrt(fabs(fitPeak->GetParameter(6))));
peakPos.push_back(fitPeak->GetParameter(8)); peakPosUnc.push_back(TMath::Sqrt(fabs(fitPeak->GetParameter(9))));
peakPos.push_back(fitPeak->GetParameter(11)); peakPosUnc.push_back(TMath::Sqrt(fabs(fitPeak->GetParameter(12))));
peakPos.push_back(fitPeak->GetParameter(14)); peakPosUnc.push_back(TMath::Sqrt(fabs(fitPeak->GetParameter(15))));
peakPos.push_back(fitPeak->GetParameter(17)); peakPosUnc.push_back(TMath::Sqrt(fabs(fitPeak->GetParameter(18))));
TF1 *velCurve = new TF1("velCurve", "[0]*x+[1]*x^2+[2]", 200, 2040);
getVel(peakPos, peakPosUnc, velCurve);
//TF1 *fitPeak2 = new TF1("fitPeak2", "[0]-[1]*([3]/2)^2/((x-[2])^2+([3]/2)^2)", 800, 1300);
TF1 *fitPeak2 = new TF1("fitPeak2", "[0]-[1]*([3]/2)^2/((x-[2])^2+([3]/2)^2)", 900, 1200);
//TF1 *fitPeak2 = new TF1("fitPeak2", "[0]-[1]*([3]/2)^2/((x-[2])^2+([3]/2)^2)-[4]*(x-[5])", 200, 2000);
fitPeak2->SetParameter(0, 21500);
fitPeak2->SetParameter(1, 2000);
fitPeak2->SetParameter(2, 1040);
fitPeak2->SetParameter(3, 50);
fecn->SetTitle("");
fecn->GetXaxis()->SetRangeUser(800, 1300);
fecn->GetXaxis()->SetTitle("MCA Channel");
fecn->GetYaxis()->SetTitle("Counts");
fecn->GetXaxis()->SetNdivisions(8,5,0);
fecn->SetLineColor(kRed);
fecn->Draw();
fecn->Fit("fitPeak2", "RN");
fitPeak2->Draw("same");
sprintf(outfile, "linewidth%i.png", i);
c1->SaveAs(outfile);
Double_t blah = fabs(velCurve->Eval(fitPeak2->GetParameter(2)+fitPeak2->GetParameter(3)/2)-velCurve->Eval(fitPeak2->GetParameter(2)-fitPeak2->GetParameter(3)/2));
linewidths.push_back(fabs(velCurve->Eval(fitPeak2->GetParameter(2)+fitPeak2->GetParameter(3)/2)-velCurve->Eval(fitPeak2->GetParameter(2)-fitPeak2->GetParameter(3)/2)));
Double_t temp1=fabs(velCurve->Eval(fitPeak2->GetParameter(2)+fitPeak2->GetParameter(3)/2-fitPeak2->GetParError(3)/2)-velCurve->Eval(fitPeak2->GetParameter(2)-fitPeak2->GetParameter(3)/2+fitPeak2->GetParError(3)/2));
//.........这里部分代码省略.........
示例6: plot
void plot()
{
TGraph * gr1 = new TGraph();
gr1->SetMarkerStyle(21);
int nPoints1 = 0;
TGraph * gr2 = new TGraph();
gr2->SetMarkerStyle(21);
int nPoints2 = 0;
TGraph * gr3 = new TGraph();
gr3->SetMarkerStyle(21);
int nPoints3 = 0;
TGraph * gr4 = new TGraph();
gr4->SetMarkerStyle(21);
int nPoints4 = 0;
TGraph * gr5 = new TGraph();
gr5->SetMarkerStyle(21);
int nPoints5 = 0;
while (M1[nPoints1].bath!=-999.0) {
gr1->SetPoint(nPoints1, M1[nPoints1].ambient, M1[nPoints1].slope);
nPoints1++;
gr2->SetPoint(nPoints2, M1[nPoints2].bath, M1[nPoints2].ambient);
nPoints2++;
gr3->SetPoint(nPoints3, M1[nPoints3].bottom, M1[nPoints3].ambient);
nPoints3++;
gr4->SetPoint(nPoints4, M1[nPoints4].top, M1[nPoints4].ambient);
nPoints4++;
gr5->SetPoint(nPoints5, M1[nPoints5].top, M1[nPoints5].slope);
nPoints5++;
}
TF1 * fit = new TF1("fit", myfunction, 5, 35, 2);
fit->SetLineColor(2);
gr3->Draw("AP");
gr3->Fit(fit, "NR");
fit->Draw("same");
double Tbottom = fit->GetParameter(0) / (1.0 - fit->GetParameter(1));
cout << Tbottom << endl;
gr4->Draw("AP");
gr4->Fit(fit, "NR");
fit->Draw("same");
double Ttop = fit->GetParameter(0) / (1.0 - fit->GetParameter(1));
cout << Ttop << endl;
gr5->Draw("AP");
gr5->Fit(fit, "NR");
fit->Draw("same");
cout << fit->Eval(Tbottom) << endl;
cout << fit->Eval(Ttop) << endl;
cout << fit->Eval(Ttop + (Ttop-Tbottom)) << endl;
}示例7: massBias
//.........这里部分代码省略.........
hist_sig[j] = (TH1*)(workspace->Get("th1f_nominal_sig_"+boost_str[j]+"_ggh_140.0_cat0"))->Clone();
hist_data[8][j]->Add(hist_sig[j],sig_sf);
hist_bkg[0][j] = (TH1*)(workspace_mc->Get("th1f_nominal_bkg_mc_3low_"+boost_str[j]+"_"+basemass_str[0]+"_cat0"))->Clone();
hist_bkg[1][j] = (TH1*)(workspace_mc->Get("th1f_nominal_bkg_mc_2low_"+boost_str[j]+"_"+basemass_str[0]+"_cat0"))->Clone();
hist_bkg[2][j] = (TH1*)(workspace_mc->Get("th1f_nominal_bkg_mc_1low_"+boost_str[j]+"_"+basemass_str[0]+"_cat0"))->Clone();
hist_bkg[3][j] = (TH1*)(workspace_mc->Get("th1f_nominal_bkg_mc_3low_"+boost_str[j]+"_"+basemass_str[1]+"_cat0"))->Clone();
hist_bkg[4][j] = (TH1*)(workspace_mc->Get("th1f_nominal_bkg_mc_2low_"+boost_str[j]+"_"+basemass_str[1]+"_cat0"))->Clone();
hist_bkg[5][j] = (TH1*)(workspace_mc->Get("th1f_nominal_bkg_mc_1low_"+boost_str[j]+"_"+basemass_str[1]+"_cat0"))->Clone();
hist_bkg[6][j] = (TH1*)(workspace_mc->Get("th1f_nominal_bkg_mc_1high_"+boost_str[j]+"_"+basemass_str[2]+"_cat0"))->Clone();
hist_bkg[7][j] = (TH1*)(workspace_mc->Get("th1f_nominal_bkg_mc_2high_"+boost_str[j]+"_"+basemass_str[2]+"_cat0"))->Clone();
hist_bkg[8][j] = (TH1*)(workspace_mc->Get("th1f_nominal_bkg_mc_3high_"+boost_str[j]+"_"+basemass_str[2]+"_cat0"))->Clone();
hist_bkg[9][j] = (TH1*)(workspace_mc->Get("th1f_nominal_bkg_mc_1high_"+boost_str[j]+"_"+basemass_str[3]+"_cat0"))->Clone();
hist_bkg[10][j] = (TH1*)(workspace_mc->Get("th1f_nominal_bkg_mc_2high_"+boost_str[j]+"_"+basemass_str[3]+"_cat0"))->Clone();
hist_bkg[11][j] = (TH1*)(workspace_mc->Get("th1f_nominal_bkg_mc_3high_"+boost_str[j]+"_"+basemass_str[3]+"_cat0"))->Clone();
hist_bkg[12][j] = (TH1*)(workspace_mc->Get("th1f_nominal_bkg_mc_1high_"+boost_str[j]+"_"+basemass_str[4]+"_cat0"))->Clone();
hist_bkg[13][j] = (TH1*)(workspace_mc->Get("th1f_nominal_bkg_mc_2high_"+boost_str[j]+"_"+basemass_str[4]+"_cat0"))->Clone();
hist_bkg[14][j] = (TH1*)(workspace_mc->Get("th1f_nominal_bkg_mc_3high_"+boost_str[j]+"_"+basemass_str[4]+"_cat0"))->Clone();
hist_bkg[8][j]->Add(hist_sig[j],sig_sf);
}
if (correctShape) {
TString fastsim_str="";
if (fastsim) fastsim_str = "_fastsim";
TFile *f_bias = TFile::Open("/afs/cern.ch/user/f/futyand/scratch1/mva_ucsd/newBkgBias/BkgBias_mit_2var_07_01_12_v2"+fastsim_str+".root");
float slope_data_in[100][2];
float slope_mc_in[100][2];
for (int j=0; j<2; j++) {
for (int ibin=1; ibin<hist_data[0][j]->GetNbinsX()+1; ibin++) {
graph_data = (TGraphErrors*)(f_bias->Get("tgraph_biasslopes_data_"+boost_str[j]+"_"+mass_str))->Clone();
graph_mc = (TGraphErrors*)(f_bias->Get("tgraph_biasslopes_mc_"+boost_str[j]+"_"+mass_str))->Clone();
slope_data_in[ibin][j] = graph_data->Eval(float(ibin)-0.5);
slope_mc_in[ibin][j] = graph_mc->Eval(float(ibin)-0.5);
}
}
for (int j=0; j<2; j++) {
for(int isb=0; isb<15; isb++) {
hist_data_corrected[isb][j] = (TH1*)hist_data[isb][j]->Clone();
hist_bkg_corrected[isb][j] = (TH1*)hist_bkg[isb][j]->Clone();
for (int ibin=1; ibin<hist_data[isb][j]->GetNbinsX()+1; ibin++) {
float deltam = mass[isb]-float(mass_in);
float corrfac_data = 1./(1.+(slope_data_in[ibin][j]*deltam));
float corrfac_mc = 1./(1.+(slope_mc_in[ibin][j]*deltam));
if (ibin==6) cout << j << " " << isb << " " << deltam << " " << ibin << " " << hist_data[isb][j]->GetBinContent(ibin) << " " << slope_data_in[ibin][j] << " " << corrfac_data << endl;
hist_data_corrected[isb][j]->SetBinContent(ibin,hist_data[isb][j]->GetBinContent(ibin)*corrfac_data);
hist_bkg_corrected[isb][j]->SetBinContent(ibin,hist_bkg[isb][j]->GetBinContent(ibin)*corrfac_mc);
}
hist_data_corrected[isb][j]->Scale(hist_data[isb][j]->Integral()/hist_data_corrected[isb][j]->Integral());
hist_bkg_corrected[isb][j]->Scale(hist_bkg[isb][j]->Integral()/hist_bkg_corrected[isb][j]->Integral());
hist_data[isb][j] = hist_data_corrected[isb][j];
hist_bkg[isb][j] = hist_bkg_corrected[isb][j];
}
}
}
TGraphErrors *G_bdtout_data[10][2];
TGraphErrors *G_bdtout_mc[10][2];
TGraphErrors *G_slope_data[2];
TGraphErrors *G_slope_mc[2];
TGraphErrors *G_chi2pol1_data[2];
TGraphErrors *G_chi2pol1_mc[2];
TGraphErrors *G_chi2pol2_data[2];示例8: main
//.........这里部分代码省略.........
//cout << endl;
float slewRate = A[ihit][imax-1];
hSlewRate -> Fill(slewRate);
// graphs
gsample = new TGraphErrors();
sprintf(gtitle,"shape_Run%d_Evt%d",runId,eventId);
sprintf(gname,"shape_%d",ievt);
gsample->SetName(gname);
gsample->SetTitle(gtitle);
gsample->GetXaxis()->SetTitle("Time (ns)");
gsample->GetYaxis()->SetTitle("ADC counts");
for (int isample = 0; isample < 10 ; isample++)
{
gsample->SetPoint(isample, double(isample)*25., A[ihit][isample]);
gsample->SetPointError(isample,0.,0.9);
}
// fit function
TF1 *fpulseShape = new TF1("fpulseShape", pulseShape,0.,240.,3);
fpulseShape->SetLineColor(kBlue);
fpulseShape->SetParName(0,"Ped");
fpulseShape->SetParName(1,"A");
fpulseShape->SetParName(2,"T0");
fpulseShape->FixParameter(0,0); // ped
fpulseShape->SetParameter(1,A[ihit][imax]); // ampl
fpulseShape->SetParameter(2,imax*25.); // T0
gsample->RemovePoint(imax-1);
gsample->Fit("fpulseShape","QSR+") ;
//re-set dei punti, altrimenti root non li plotta!
for (int isample = 0; isample < 10 ; isample++)
{
gsample->SetPoint(isample, double(isample)*25., A[ihit][isample]);
gsample->SetPointError(isample,0.,0.9);
}
ievt++;
float measuredAmpl = A[ihit][imax-1] ;
float expectedAmpl = A[ihit][imax] * fpulseShape->Eval((imax-1)*25.)/fpulseShape->Eval(imax*25.);
hAmplitude -> Fill(expectedAmpl,measuredAmpl);
hAmplitude2 -> Fill( A[ihit][imax] * 0.774,measuredAmpl);
float t0 = fpulseShape->GetParameter(2);
hAmpl_vs_Time -> Fill(t0-125.,expectedAmpl);
hRatio_vs_Time -> Fill(t0-125., fpulseShape->Eval((imax-1)*25.)/fpulseShape->Eval(imax*25.));
if (expectedAmpl > 3000) {
hr2->Fill( fpulseShape->Eval((imax-1)*25.)/fpulseShape->Eval(imax*25.));
hTfit2->Fill(t0-125.);
hAmax2->Fill(A[ihit][imax]);
}
else {
hr1->Fill( fpulseShape->Eval((imax-1)*25.)/fpulseShape->Eval(imax*25.));
hTfit1->Fill(t0-125.);
hAmax1->Fill(A[ihit][imax]);
}
if ( expectedAmpl < 3000 )
//if (ievt<10)
gsample->Write();
} // end loop over recHits
}//end loop over events
chain->Delete();
saving.cd () ;
hGainSwitch ->Write();
hSlewRate -> Write();
hAmplitude ->Write();
hAmplitude2 ->Write();
hAmpl_vs_Time ->Write();
hRatio_vs_Time ->Write();
hTfit1->Write();
hTfit2->Write();
hAmax1->Write();
hAmax2->Write();
hr1->Write();
hr2->Write();
saving.Close () ;
return 0;
}示例9: TLatex
//---------------------------------------------------------------
double *treat(TString fileData, double lumi, TString decay, vector<double> mtop, vector<double> xlim, int binned, TString date, TString version)
//---------------------------------------------------------------
{
//TString indir = date+"/v"+version+"/";
TString indir = date+"/"+version+"/";
TString outdir = indir;
TString channel = " + Jets channel";
if (fileData.Contains("ElectronHad")) {
outdir += "CalibEl/";
indir += "MyAnaEl/";
if (decay.Contains("semi", TString::kIgnoreCase))
channel = "e"+channel;
if (decay.Contains("di", TString::kIgnoreCase))
channel = "ee/e#mu"+channel;
if (decay.Contains("all", TString::kIgnoreCase))
channel = "e/ee/e#mu"+channel;
}
if (fileData.Contains("MuHad")) {
outdir += "CalibMu/";
indir += "MyAnaMu/";
if (decay.Contains("semi", TString::kIgnoreCase))
channel = "#mu"+channel;
if (decay.Contains("di", TString::kIgnoreCase))
channel = "#mu#mu/#mue"+channel;
if (decay.Contains("all", TString::kIgnoreCase))
channel = "#mu/#mu#mu/#mue"+channel;
}
if (fileData.Contains("Run2012")) {
outdir += "CalibAll/";
indir += "MyAnaAll/";
if (decay.Contains("semi", TString::kIgnoreCase))
channel = "e/#mu"+channel;
if (decay.Contains("di", TString::kIgnoreCase))
channel = "ee/#mu#mu/e#mu"+channel;
if (decay.Contains("all", TString::kIgnoreCase))
channel = "e/#mu/ee/#mu#mu/e#mu"+channel;
}
gROOT->ProcessLine(".! mkdir "+outdir);
TLatex* channel_tex = new TLatex(0.22, 0.9, channel);
channel_tex->SetNDC(true);
channel_tex->SetTextFont(43);
channel_tex->SetTextSize(TITLE_FONTSIZE - 6);
const unsigned int numberOfPoints = mtop.size();
double x[numberOfPoints], ex[numberOfPoints];
double y[numberOfPoints], ey[numberOfPoints];
for (unsigned int itop = 0; itop < numberOfPoints; itop++) {
TString fileMC = TString::Format("All_%d_5.root", (int)mtop[itop]);
//TString fileMC = TString::Format("TTJets_MSDecays_JpsiFilter_%d_5.root", (int)mtop[itop]);
double *mean_err = new double[2];
if (binned < 2)
mean_err = unbinnedFit(indir+fileMC, xlim, mtop[itop], channel_tex, outdir, lumi);
if (binned == 2)
mean_err = binnedFit(indir+fileMC, xlim, mtop[itop], channel_tex, outdir, lumi);
y[itop] = mean_err[0];
ey[itop] = mean_err[1];
x[itop] = mtop[itop]+0.5;
ex[itop] = 0.;
}
TGraphErrors *gr = new TGraphErrors(numberOfPoints, x, y, ex, ey);
TFitResultPtr fitptr = gr->Fit("pol1", "FSQ", "");
TF1 *fit = gr->GetFunction("pol1");
double yinte = fitptr->Parameter(0);
double errYinte = fitptr->ParError(0);
double slope = fitptr->Parameter(1);
double errSlope = fitptr->ParError(1);
double chi2 = fitptr->Chi2();
double ndf = fitptr->Ndf();
double err_up[numberOfPoints];
double err_down[numberOfPoints];
double err_val[numberOfPoints];
fitptr->GetConfidenceIntervals(numberOfPoints, 1, 1, x, err_val, 0.68);
for(unsigned int itop = 0; itop < numberOfPoints; itop++) {
double error = err_val[itop];
err_up[itop] = fit->Eval(x[itop]) + error;
err_down[itop] = fit->Eval(x[itop]) - error;
}
TGraph *gr_up = new TGraph(numberOfPoints,x,err_up);
gr_up->Fit("pol2","FQ","");
TF1 *fit_up = gr_up->GetFunction("pol2");
TGraph *gr_down = new TGraph(numberOfPoints,x,err_down);
gr_down->Fit("pol2","FQ","");
TF1 *fit_down = gr_down->GetFunction("pol2");
TLegend *leg_calib = new TLegend(0.2,0.75,0.65,0.83,NULL,"brNDC");
leg_calib->SetTextSize(0.04);
leg_calib->AddEntry(gr,TString::Format("Slope of %.2f #pm %.2f", slope, errSlope),"lp");
leg_calib->SetHeader("Calibration curve");
// Blinded analysis
TCanvas *cn_calib = new TCanvas("cn_calib", "cn_calib", 800, 800);
cn_calib->cd();
grapherrors_myStyle(gr,"gr",2,30,1,30,1001,-1111,-1111,510,510,21,36,1.,"M_{t} (GeV)","M_{J/#psi+l} (GeV)");
//.........这里部分代码省略.........
示例10: drawAvsB
//.........这里部分代码省略.........
fjes->SetLineWidth(2);
fjes->SetRange(10.,3500.);
fjes->Draw("SAME");
//TF1 *ft = new TF1("ft","1-[0]-[1]*pow(x,[2]) + ([3]+[4]*log(x))/x",30,2200);
//ft->SetParameters(0,0.05,-0.5,1,0.1);
//ft->FixParameter(3,0);
// Logarithmic sigmoid
//TF1 *ft = new TF1("ft","[0]+(1-[0])/(1. + exp(-(log(x)-log(abs([1])))"
// "/(log(abs([2])+abs([1]))-log(abs([1])))))", 30,2200);
//ft->SetParameters(0.98, 150, 50);
TF1 *ft = new TF1("ft","[0]+(1-[0])/(1. + exp(-(log(x)-[1])/[2]))",30,2200);
//ft->SetParameters(0.98,log(145),log(190)-log(145));
//ft->SetParameters(0.982,4.967,0.271);
//ft->SetParameters(0.976,5.040,0.370); // ENDCAP
//ft->SetParameters(0.985,5.0,0.3);
ft->SetParameters(0.985,5.025,0.3);
//ft->FixParameter(1,5.03); // semi-weighted average of BCD and EF
//ft->FixParameter(2,0.395); // combined fit to BCD+EF / G+H
// ( 12.9*5.055+6.8*5.000)/(12.9+6.8)
ft->FixParameter(1,5.036); // semi-weighted average of BCD/GH and EF/GH
// ( 12.9*0.344 + 6.8*0.455)/(12.9+6.8)
ft->FixParameter(2,0.391); // combined fit to BCD+EF / GH
// Log-sigmoid + powerlaw
//TF1 *ft = new TF1("ft","[0]+(1-[0])/(1. + exp(-(log(x)-[1])/[2]))"
// "*(1-[3]*pow(x,[4]))",30,2200);
//ft->SetParameters(0.982,4.967,0.271,0.1,-0.2);
// Double powerlaw
//TF1 *ft = new TF1("ft","[4]-[0]*pow(x,[1])-[2]*pow(x,[3])",30,2200);
//ft->SetParameters(0.05,-0.15,0.01,-0.3,1);
mg->Fit(ft,"RN");
ft->SetLineColor(kBlue);
ft->SetLineWidth(2);
ft->SetRange(10.,3500.);
ft->Draw("SAME");
// Map multijet with response ratio
if (gmpf) { // we have multijet available
TGraphErrors *gmpf2 = (TGraphErrors*)gmpf->Clone("gmpf2");
gmpf2->SetMarkerColor(kBlack);//kGray+1);
gmpf2->SetLineColor(kBlack);//kGray+1);
for (int i = 0; i != gmpf->GetN(); ++i) {
if (mjvsjes) {
gmpf2->SetPoint(i, 0.4*gmpf->GetX()[i],
fjes->Eval(gmpf->GetX()[i])/gmpf->GetY()[i]);
gmpf2->SetPointError(i, 0.4*gmpf->GetEX()[i],
gmpf->GetEY()[i]);
}
else {
gmpf2->SetPoint(i, 0.4*gmpf->GetX()[i],
ft->Eval(gmpf->GetX()[i])/gmpf->GetY()[i]);
gmpf2->SetPointError(i, 0.4*gmpf->GetEX()[i],
gmpf->GetEY()[i]);
}
}
gmpf2->Draw("SAMEPz");
} // multijet
tex->SetTextColor(kBlue);
tex->DrawLatex(0.50,0.85,Form("#chi^{2} / NDF = %1.1f / %d",
ft->GetChisquare(),
ft->GetNDF()));
tex->SetTextColor(kBlack);
tex->SetTextSize(0.040);
tex->DrawLatex(0.50,0.80,Form("(#chi^{2} / NDF = %1.1f / %d)",
fjes->GetChisquare(),
fjes->GetNDF()));
tex->SetTextColor(kBlue-9);
tex->SetTextSize(0.030);
tex->DrawLatex(0.20,0.25,ft->GetExpFormula());
tex->DrawLatex(0.20,0.20,
Form("p_{0}=%1.3f#pm%1.3f"
", p_{1}=%1.3f#pm%1.3f"
", p_{2}=%1.3f#pm%1.3f",
ft->GetParameter(0),ft->GetParError(0),
ft->GetParameter(1),ft->GetParError(1),
ft->GetParameter(2),ft->GetParError(2)));
if (ft->GetNpar()>3)
tex->DrawLatex(0.20,0.17,
Form("p_{3}=%1.3f#pm%1.3f"
", p_{4}=%1.3f#pm%1.3f",
ft->GetParameter(3),ft->GetParError(3),
ft->GetParameter(4),ft->GetParError(4)));
c1->SaveAs(Form("pdf/%s.pdf",s.c_str()));
for (int i = 0; i != ft->GetNpar(); ++i) {
cout << Form("%s%1.4g",i==0 ? "{" : ", ",ft->GetParameter(i));
}
cout << "}" << endl;
}示例11: ratioPlots_Zxx
//.........这里部分代码省略.........
TH1D *histp0 = new TH1D("p0","p0",100,-0.2,0.3);
TH1D *histp1 = new TH1D("p1","p1",100,0.0,0.01);
TH1D *histp2 = new TH1D("p2","p2",100,-0.00001,0);
TH1D *histp3 = new TH1D("p3","p3",100,0,0.000000002);
for (Int_t i = 0; i< 500; i++){
NewP(0) = r.Gaus(PNb(0),sqrt(eigenVal(0,0)));
NewP(1) = r.Gaus(PNb(1),sqrt(eigenVal(1,1)));
NewP(2) = r.Gaus(PNb(2),sqrt(eigenVal(2,2)));
NewP(3) = r.Gaus(PNb(3),sqrt(eigenVal(3,3)));
//NewP.Print();
//FittedParam.Print();
const TVectorD NewP2 = Vt*NewP;
//NewP2.Print();
histp0->Fill(NewP2(0));
histp1->Fill(NewP2(1));
histp2->Fill(NewP2(2));
histp3->Fill(NewP2(3));
TF1 *newFit=new TF1("test","[0]+x*[1]+[2]*pow(x,2)+[3]*pow(x,3)",0,1400);
newFit->SetParameters(NewP2(0),NewP2(1),NewP2(2),NewP2(3));
newFit->SetLineColor(kBlue);
Double_t area=0;
for(Int_t it=1; it < 16; it++){
//cout << "bin : " << it << " " << h1c2->GetBinContent(it) << endl;
area += h1c2->GetBinContent(it)*newFit->Eval(100*it+50);
}
//newFit->Draw("same");
//cout <<"val: " << newFit->Eval(200) << endl;
hist100->Fill(newFit->Eval(100)/area);
hist200->Fill(newFit->Eval(200)/area);
hist400->Fill(newFit->Eval(400)/area);
hist600->Fill(newFit->Eval(600)/area);
hist800->Fill(newFit->Eval(800)/area);
hist1000->Fill(newFit->Eval(1000)/area);
}
c1->cd();
TCanvas *c2 = new TCanvas("c2","c2",1000,1000);
c2->cd();
c2->Divide(3,2);
c2->cd(1);
hist100->Draw();
c2->cd(2);
hist200->Draw();
c2->cd(3);
hist400->Draw();
c2->cd(4);
hist600->Draw();
c2->cd(5);
hist800->Draw();
c2->cd(6);
hist1000->Draw();
Double_t m_100,m_200,m_400,m_600,m_800,m_1000;示例12: ana_Run11_eff
//.........这里部分代码省略.........
TH1F *hRcPtNoWeight = (TH1F*)hMcPtVsRcNoWeight->ProjectionX("hRcPtNoWeight");
hRcPtNoWeight->SetMarkerStyle(21);
hRcPtNoWeight->SetMarkerColor(2);
hRcPtNoWeight->SetLineColor(2);
hRcPtNoWeight->Draw("sames P");
TH1F *hRatioNoWeight = (TH1F*)hRcPtNoWeight->Clone("hRatioNoWeight");
hRatioNoWeight->Divide(hMcPtNoWeight);
cEff->cd();
hRatioNoWeight->SetMarkerColor(4);
hRatioNoWeight->Draw("samesP");
// weight with input histogram
TH1F *hMcPtWeight = (TH1F*)hMcPtNoWeight->Clone("hMcPtWeight");
TH2F *hMcPtVsRcWeight = (TH2F*)hMcPtVsRcNoWeight->Clone("hMcPtVsRcWeight");
for(int ibin=1; ibin<=hMcPtVsRcNoWeight->GetNbinsX(); ibin++)
{
double scale = hMcPt->GetBinContent(ibin);
hMcPtWeight->SetBinContent(ibin,hMcPtWeight->GetBinContent(ibin)*scale);
hMcPtWeight->SetBinError(ibin,hMcPtWeight->GetBinError(ibin)*scale);
for(int jbin=1; jbin<=hMcPtVsRcNoWeight->GetNbinsY(); jbin++)
{
hMcPtVsRcWeight->SetBinContent(ibin,jbin,hMcPtVsRcWeight->GetBinContent(ibin,jbin)*scale);
hMcPtVsRcWeight->SetBinError(ibin,jbin,hMcPtVsRcWeight->GetBinError(ibin,jbin)*scale);
}
}
TH1F *hRcPtWeight = (TH1F*)hMcPtVsRcWeight->ProjectionY("hRcPtWeight");
hRcPtWeight->SetMarkerStyle(21);
hRcPtWeight->SetMarkerColor(2);
hRcPtWeight->SetLineColor(2);
draw2D(hMcPtVsRcWeight);
draw1D(hMcPtWeight,"",kTRUE);
hRcPtWeight->Draw("sames P");
TH1F *hRatioWeight = (TH1F*)hRcPtWeight->Clone("hRatioWeight");
hRatioWeight->Divide(hMcPtWeight);
cEff->cd();
hRatioWeight->SetMarkerColor(6);
hRatioWeight->Draw("samesP");
TH1F *hCheck = (TH1F*)hRatioWeight->Clone("check");
hCheck->Divide(hRatio);
draw1D(hCheck);
// weight with fitted function
TCanvas *c = new TCanvas("Fit","Fit",800,600);
SetPadMargin(gPad,0.15,0.15);
gPad->SetLogy();
TH1F *h = new TH1F("histogram",";;;",7,0,30);
h->GetYaxis()->SetRangeUser(1e-7,100);
h->Draw();
TFile *fdata = TFile::Open("Rootfiles/Spectrum_in_bin.root","read");
TGraphErrors *gr = (TGraphErrors*)fdata->Get("gall");
gr->SetMarkerColor(1);
gr->SetLineColor(1);
gr->GetXaxis()->SetRangeUser(0,30);
gr->Draw("sames PE");
TF1 *func = new TF1("func",InvPt,0,30,4);
func->SetParameters(0.4,-0.4796,4.229,-7.54);
gr->Fit(func,"RL");
TH1F *hMcPtFunc = (TH1F*)hMcPtNoWeight->Clone("hMcPtFunc");
TH2F *hMcPtVsRcFunc = (TH2F*)hMcPtVsRcNoWeight->Clone("hMcPtVsRcFunc");
for(int ibin=1; ibin<=hMcPtVsRcFunc->GetNbinsX(); ibin++)
{
double scale = func->Eval(hMcPtFunc->GetBinCenter(ibin));
hMcPtFunc->SetBinContent(ibin,hMcPtFunc->GetBinContent(ibin)*scale);
hMcPtFunc->SetBinError(ibin,hMcPtFunc->GetBinError(ibin)*scale);
for(int jbin=1; jbin<=hMcPtVsRcNoWeight->GetNbinsY(); jbin++)
{
hMcPtVsRcFunc->SetBinContent(ibin,jbin,hMcPtVsRcFunc->GetBinContent(ibin,jbin)*scale);
hMcPtVsRcFunc->SetBinError(ibin,jbin,hMcPtVsRcFunc->GetBinError(ibin,jbin)*scale);
}
}
TH1F *hRcPtFunc = (TH1F*)hMcPtVsRcFunc->ProjectionY("hRcPtFunc");
hRcPtFunc->SetMarkerStyle(21);
hRcPtFunc->SetMarkerColor(2);
hRcPtFunc->SetLineColor(2);
hMcPtVsRcFunc->GetZaxis()->SetRangeUser(1e-4,1e2);
draw2D(hMcPtVsRcFunc);
hMcPtFunc->GetYaxis()->SetRangeUser(1e-4,5e4);
draw1D(hMcPtFunc,"",kTRUE);
hRcPtFunc->Draw("sames P");
TH1F *hRatioFunc = (TH1F*)hRcPtFunc->Clone("hRatioFunc");
hRatioFunc->Rebin(100);
hMcPtFunc->Rebin(100);
hRatioFunc->Divide(hMcPtFunc);
cEff->cd();
hRatioFunc->SetMarkerColor(5);
hRatioFunc->Draw("samesP");
TH1F *hCheck2 = (TH1F*)hRatioFunc->Clone("check2");
hCheck2->Divide(hRatio);
draw1D(hCheck2);
}示例13: anaAsyJetTrig
//.........这里部分代码省略.........
if(my_hists->IsMC!=kTRUE){
// if(noise_evt==0) continue ;
if(!noise_evt) continue ;
int jetTr2 ;
if(coll=="HI"|| coll=="PbPb")
jetTr2 = trigSel->HLT_HIJet80_v1 ;
else if (coll=="PP2011")
jetTr2 = trigSel->HLT_Jet60_v1 ;
else {
// jetTr2 = trigSel->HLT_PAJet80_NoJetID_v1 ;
if(TrigName=="Jet20") jetTr2 = trigSel->HLT_PAJet20_NoJetID_v1 ;
else if(TrigName=="Jet40") jetTr2 = trigSel->HLT_PAJet40_NoJetID_v1 ;
else if(TrigName=="Jet60") jetTr2 = trigSel->HLT_PAJet60_NoJetID_v1 ;
else if(TrigName=="Jet80") jetTr2 = trigSel->HLT_PAJet80_NoJetID_v1 ;
else if(TrigName=="Jet100") jetTr2 = trigSel->HLT_PAJet100_NoJetID_v1 ;
else jetTr2 = trigSel->HLT_PAZeroBiasPixel_SingleTrack_v1 ;
}
if(!jetTr2) continue ;
int run=offSel->run ;
if( !(my_skim->phfPosFilter1 && my_skim->phfNegFilter1 && my_skim->pBeamScrapingFilter && my_skim->pprimaryvertexFilter)) continue ;
if(coll=="PPb"){
// if( my_skim->phfPosFilter1==0 || my_skim->phfNegFilter1==0 ||my_skim->pBeamScrapingFilter==0 || my_skim->pprimaryvertexFilter==0) continue ;
if(!pileup_Gplus) continue ;
if(run>211256) continue ;
if(run<210676) continue ; //remove the runs with old alignment
}
if(coll=="PbP"){
if(pileup_Gplus==0) continue ;
if(run<=211256) continue ;
}
}
if(TMath::Abs(vz)>15.) continue ;
if(my_hists->IsMC==kTRUE) weight*=fVz->Eval(vz);
//run selection
if(my_hists->IsMC!=kTRUE && coll=="PPb") {
if(offSel->run<210676 ||offSel->run>211256) //211256: last pPb run (Pb goes to +eta)
continue;
}
bool event_accepted = true;
/* if(!(my_skim->pPAcollisionEventSelectionPA && my_skim->phfPosFilter1 && my_skim->phfNegFilter1
&& my_skim->pBeamScrapingFilter
&& my_skim->pprimaryvertexFilter
&& my_skim->pVertexFilterCutGplus
&& TMath::Abs(offSel->vz)<15.
)
) event_accepted = false;
*/
if(event_accepted == false)
continue;
/* //if there is no jets or no PF candidates, skip the event
if(my_ct->nref==0) continue ;
*/ //put the higher pthat cut
if(my_hists->IsMC==kTRUE && my_ct->pthat>ptmax ) continue ;
if(my_hists->IsMC==kTRUE && my_ct->pthat<pthat) continue ;
if(my_ct->pthat>ptmax) cout <<"pthat =" <<my_ct->pthat <<endl ;
if(coll=="HI"|| coll=="PP2011")
my_hists->CenBin->Fill(hiBin*2.5);
else my_hists->CenBin->Fill(hiBin);
my_hists->Vertex->Fill(vz);
// cout <<"vz =" <<vz <<endl ;
示例14: computeAccSelZeeBinned_PileupSys
//.........这里部分代码省略.........
nEvtsv[ifile]+=weight;
// trigger requirement
if (!isEleTrigger(triggerMenu, info->triggerBits, kFALSE)) continue;
// good vertex requirement
if(!(info->hasGoodPV)) continue;
electronArr->Clear();
electronBr->GetEntry(ientry);
for(Int_t i1=0; i1<electronArr->GetEntriesFast(); i1++) {
const baconhep::TElectron *ele1 = (baconhep::TElectron*)((*electronArr)[i1]);
TLorentzVector vEle1(0,0,0,0);
vEle1.SetPtEtaPhiM(ele1->pt, ele1->eta, ele1->phi, ELE_MASS);
// check ECAL gap
// if(fabs(ele1->scEta)>=ETA_BARREL && fabs(ele1->scEta)<=ETA_ENDCAP) continue;
if(fabs(vEle1.Eta())>=ETA_BARREL && fabs(vEle1.Eta())<=ETA_ENDCAP) continue;
if(doScaleCorr && (ele1->r9 < 1.)){
// set up variable and apply smear correction to ele1
float ele1Smear = 0.;
float ele1Error = 0.;
float ele1AbsEta = fabs(vEle1.Eta());
float ele1Et = vEle1.E() / cosh(ele1AbsEta);
bool ele1isBarrel = ele1AbsEta < 1.4442;
float ele1R9Prime = ele1->r9; // r9 corrections MC only
if(ele1isBarrel){
ele1R9Prime = gR9EB->Eval(ele1->r9);}
else {
ele1R9Prime = gR9EE->Eval(ele1->r9);
}
double ele1Random = gRandom->Gaus(0,1);
ele1Smear = eleCorr.getSmearingSigma(info->runNum, ele1isBarrel, ele1R9Prime, ele1AbsEta, ele1Et, 0., 0.);
float ele1SmearEP = eleCorr.getSmearingSigma(info->runNum, ele1isBarrel, ele1R9Prime, ele1AbsEta, ele1Et, 1., 0.);
float ele1SmearEM = eleCorr.getSmearingSigma(info->runNum, ele1isBarrel, ele1R9Prime, ele1AbsEta, ele1Et, -1., 0.);
if(sigma==0){
(vEle1) *= 1. + ele1Smear * ele1Random;
}else if(sigma==1){
(vEle1) *= 1. + ele1SmearEP * ele1Random;
}else if(sigma==-1){
(vEle1) *= 1. + ele1SmearEM * ele1Random;
}
}
//double ele1_pt = gRandom->Gaus(ele1->pt*getEleScaleCorr(ele1->scEta,0), getEleResCorr(ele1->scEta,0));
// if(ele1->pt < PT_CUT && ele1->scEt < PT_CUT) continue; // lepton pT cut
// if(fabs(ele1->scEta) > ETA_CUT && fabs(ele1->eta) > ETA_CUT) continue; // lepton |eta| cut
// if(!passEleID(ele1,info->rhoIso)) continue; // lepton selection
if(vEle1.Pt() < PT_CUT) continue; // lepton pT cut
if(fabs(vEle1.Eta()) > ETA_CUT) continue; // lepton |eta| cut
if(!passEleID(ele1, vEle1, info->rhoIso)) continue; // lepton selection
//if(!isEleTriggerObj(triggerMenu, ele1->hltMatchBits, kFALSE, kFALSE)) continue;
示例15: TriggerEfficienciesSF
//.........这里部分代码省略.........
file = new TFile(mcfile);
Ref = (TH1D*) file->Get("Trigger"+ref+variable)->Clone();
Trigger = (TH1D*) file->Get("Trigger"+id+variable)->Clone();
Ref->Rebin(ngroup);
Trigger->Rebin(ngroup);
TEfficiency * EffMC = new TEfficiency();
EffMC->SetTotalHistogram(*Ref, "f");
EffMC->SetPassedHistogram(*Trigger, "f");
EffMC->SetMarkerStyle(kFullSquare);
EffMC->SetMarkerColor(kRed);
EffMC->SetLineColor(kRed);
All->Draw("axis");
EffMC->Draw("samep");
TF1 * mcfit = new TF1("mcfit","[0] + [1]*(x-100)^2", 100, 800);
mcfit->SetLineColor(kRed);
mcfit->SetParameter(0,1.0);
mcfit->SetParameter(1,0.0);
if (linear) mcfit->FixParameter(1,0.0);
TBinomialEfficiencyFitter * mcfitter = new TBinomialEfficiencyFitter(Trigger,Ref);
mcfitter->Fit(mcfit);
mcfit->Draw("same");
Double_t * mcmatrix = mcfitter->GetFitter()->GetCovarianceMatrix();
Double_t mcparam[7];
mcparam[1] = mcfit->GetParameter(0);
mcparam[2] = mcfit->GetParameter(1);
for (Int_t i = 0; i < 4; ++i)
{
if (linear && i)
mcparam[i+3] = 0;
else
mcparam[i+3] = mcmatrix[i];
}
mcparam[0] = 1.0;
TF1 * mcplus = new TF1("dataplus", fitSigma, 100.0, 1000, 7);
mcplus->SetParameters(mcparam);
mcplus->SetLineStyle(kDashed);
mcplus->SetLineColor(kRed);
mcplus->SetLineWidth(1);
mcplus->Draw("same");
mcparam[0] = -1.0;
TF1 * mcminus = new TF1("dataminus", fitSigma, 100.0, 1000, 7);
mcminus->SetParameters(mcparam);
mcminus->SetLineStyle(kDashed);
mcminus->SetLineColor(kRed);
mcminus->SetLineWidth(1);
mcminus->Draw("same");
canvas->SaveAs(id+variable+"r"+ref+"-mc.png");
Double_t sfparam[13];
sfparam[1] = dataparam[1];
sfparam[2] = dataparam[2];
sfparam[3] = mcparam[1];
sfparam[4] = mcparam[2];
for (Int_t i = 0; i < 4; ++i) sfparam[i+5] = dataparam[i+3];
for (Int_t i = 0; i < 4; ++i) sfparam[i+9] = mcparam[i+3];
for (Int_t i = 0; i < 13; ++i)
cout << sfparam[i] << " ";
cout << endl;
sfparam[0] = 0.0;
TF1 * sf = new TF1("sf", sffit, 100.0, 1000, 13);
sf->SetParameters(sfparam);
All->GetYaxis()->SetTitle("Trigger scale factor");
All->GetYaxis()->SetRangeUser(0.0,1.1);
All->Draw("axis");
sf->Draw("same");
sfparam[0] = 1.0;
TF1 * sfplus = new TF1("sfplus", sffit, 100.0, 1000, 13);
sfplus->SetParameters(sfparam);
sfplus->SetLineStyle(kDashed);
sfplus->SetLineWidth(1);
sfplus->Draw("same");
sfparam[0] = -1.0;
TF1 * sfminus = new TF1("sfminus", sffit, 100.0, 1000, 13);
sfminus->SetParameters(sfparam);
sfminus->SetLineStyle(kDashed);
sfminus->SetLineWidth(1);
sfminus->Draw("same");
if (linear) cout << "Linear fit for sf: " << sf->Eval(100) << " +- " << (sfplus->Eval(100)-sf->Eval(100)) << endl;
canvas->SaveAs(id+variable+"r"+ref+"-sf.png");
}