//#endif
void DrawInPad(TVirtualPad* p,
Int_t sub,
TH1* h,
Bool_t logy=false)
{
TVirtualPad* pp = p->cd(sub);
pp->SetRightMargin(0.02);
if (logy) pp->SetLogy();
TH1* copy = h->DrawCopy("hist");
copy->GetXaxis()->SetLabelSize(0.13);
copy->GetYaxis()->SetLabelSize(0.08);
copy->SetDirectory(0);
}
/**
* Draw final plot for QM2011
*
* @param max
*
* @ingroup pwglf_forward_scripts
*/
void
dndeta_final(Double_t max=6)
{
gStyle->SetOptTitle(0);
gStyle->SetOptFit(0);
gStyle->SetTitleFont(132, "xyz");
gStyle->SetTitleSize(0.1, "xyz");
gStyle->SetTitleOffset(0.4, "y");
gStyle->SetTitleOffset(0.8, "x");
gStyle->SetLabelFont(132, "xyz");
gStyle->SetLabelSize(0.08, "xyz");
gStyle->SetNdivisions(212, "x");
gStyle->SetNdivisions(208, "y");
gStyle->SetTextFont(132);
gStyle->SetPadColor(0);
gStyle->SetPadBorderMode(0);
// gStyle->SetFillColor(0);
// gStyle->SetFillStyle(0);
TCanvas* c = new TCanvas("c", "c", 900, 900);
c->SetFillColor(0);
c->SetFillStyle(0);
c->SetBorderSize(0);
c->SetBorderMode(0);
c->SetRightMargin(0.02);
c->SetTopMargin(0.02);
c->SetBottomMargin(0.15);
c->Divide(1,3,0,0);
// --- INEL --------------------------------------------------------
TVirtualPad* p = c->cd(1);
p->SetGridx();
p->SetRightMargin(.01);
THStack* inel = new THStack("inel", "INEL");
TLatex* inelT = new TLatex(1-p->GetRightMargin()-.01,
1-p->GetTopMargin()-.01,
"INEL");
inelT->SetNDC();
inelT->SetTextAlign(33);
inelT->SetTextSize(0.12);
TLegend* inelL = new TLegend(.3, .02, .8, .4);
inelL->SetBorderSize(0);
inelL->SetNColumns(2);
inelL->SetFillColor(0);
inelL->SetFillStyle(0);
TLegendEntry* e = inelL->AddEntry("d1", "Forward", "lp");
e->SetMarkerColor(kRed+2);
e->SetMarkerStyle(29);
e = inelL->AddEntry("d2", "Central", "lp");
e->SetMarkerColor(kMagenta+2);
e->SetMarkerStyle(29);
e = inelL->AddEntry("d3", "Data", "lp");
e->SetMarkerStyle(29);
e = inelL->AddEntry("d4", "Mirrored data", "lp");
e->SetMarkerStyle(30);
e = inelL->AddEntry("d5", "Systematic error", "f");
e->SetFillColor(kGray);
e->SetLineColor(kGray);
e->SetLineWidth(0);
e->SetFillStyle(3001);
gROOT->LoadMacro("export_pp_0900GeV_INEL_m10p10cm_000100000ev.C");
export_pp_0900GeV_INEL_m10p10cm_000100000ev(inel, inelL, 20);
export_pp_0900GeV_INEL_m10p10cm_000100000ev(inel, inelL, 21);
export_pp_0900GeV_INEL_m10p10cm_000100000ev(inel, inelL, 22);
inel->Draw("nostack e1");
inel->GetHistogram()->SetYTitle("#frac{1}{N}#frac{dN_{ch}}{d#eta}");
inel->GetHistogram()->SetXTitle("#eta");
inel->GetHistogram()->GetYaxis()->SetDecimals();
inelL->Draw();
inelT->Draw();
// --- INEL>0 ------------------------------------------------------
p = c->cd(2);
p->SetGridx();
p->SetRightMargin(.01);
THStack* inelgt0 = new THStack("inelgt0", "INEL>0");
TLatex* inelgt0T = new TLatex(1-p->GetRightMargin()-.01,
1-p->GetTopMargin()-.01,
"INEL>0");
inelgt0T->SetNDC();
inelgt0T->SetTextAlign(33);
inelgt0T->SetTextSize(0.12);
gROOT->LoadMacro("export_pp_0900GeV_INEL_m10p10cm_000100000ev.C");
export_pp_0900GeV_INEL_m10p10cm_000100000ev(inelgt0, 0, 20);
export_pp_0900GeV_INEL_m10p10cm_000100000ev(inelgt0, 0, 21);
export_pp_0900GeV_INEL_m10p10cm_000100000ev(inelgt0, 0, 22);
inelgt0->Draw("nostack e1");
inelgt0->GetHistogram()->SetXTitle("#eta");
inelgt0->GetHistogram()->GetYaxis()->SetDecimals();
inelgt0T->Draw();
// --- NSD ---------------------------------------------------------
p = c->cd(3);
p->SetGridx();
p->SetRightMargin(.01);
THStack* nsd = new THStack("nsd", "NSD");
TLatex* nsdT = new TLatex(1-p->GetRightMargin()-.01,
1-p->GetTopMargin()-.01,
"NSD");
nsdT->SetNDC();
nsdT->SetTextAlign(33);
nsdT->SetTextSize(0.12);
gROOT->LoadMacro("export_pp_0900GeV_NSD_m10p10cm_000100000ev.C");
export_pp_0900GeV_NSD_m10p10cm_000100000ev(nsd, 0, 20);
export_pp_0900GeV_NSD_m10p10cm_000100000ev(nsd, 0, 21);
export_pp_0900GeV_NSD_m10p10cm_000100000ev(nsd, 0, 22);
nsd->Draw("nostack e1");
nsd->GetHistogram()->SetXTitle("#eta");
nsd->GetHistogram()->GetYaxis()->SetDecimals();
nsdT->Draw();
c->cd();
c->SaveAs("dndeta_final.png");
}
/**
*
*
* @param o
* @param useWeights
* @param correct
*
* @ingroup pwglf_forward_scripts_tests
*/
void
TestPoisson(Double_t o=.3, bool useWeights=false, bool correct=true)
{
const char* load = "$ALICE_PHYSICS/PWGLF/FORWARD/analysis2/scripts/LoadLibs.C";
if (!gROOT->GetClass("AliAODForwardMult")) {
gROOT->Macro(load);
gROOT->GetInterpreter()->UnloadFile(gSystem->ExpandPathName(load));
}
// --- Parameters of this script -----------------------------------
Int_t nBin = 5; // Our detector matrix size
Int_t nMax = TMath::Max(Int_t(nBin * nBin * o + .5)+nBin/2,nBin);
Int_t nEv = 10000; // Number of events
Double_t mp = o; // The 'hit' probability
TH2D* base = new TH2D("base", "Basic histogram",
nBin,-.5, nBin-.5, nBin, -.5, nBin-.5);
base->SetXTitle("#eta");
base->SetYTitle("#varphi");
base->SetDirectory(0);
base->SetOption("colz");
Int_t tN1=nMax; Double_t tMin1; Double_t tMax1;
Int_t tN2=nMax*10; Double_t tMin2; Double_t tMax2=nMax;
MakeIntegerAxis(tN1, tMin1, tMax1);
MakeIntegerAxis(tN2, tMin2, tMax2);
TH2D* corr = new TH2D("comp", "Comparison",
tN1, tMin1, tMax1, tN2, tMin2, tMax2);
corr->SetXTitle("Input");
corr->SetYTitle("Poisson");
corr->SetDirectory(0);
corr->SetOption("colz");
corr->SetStats(0);
TLine* lcorr = new TLine(0, 0, tMax2, tMax2);
Int_t mm = TMath::Max(Int_t(nBin * o + .5),nBin/2);
tN2=mm*10; tMax2 = mm;
MakeIntegerAxis(tN2, tMin2, tMax2);
Info("", "Making mean w/nbins=%d,range=[%f,%f]", tN2, tMin2, tMax2);
TH2D* mean = new TH2D("mean", "Mean comparison",
tN2, tMin2, tMax2, tN2, tMin2, tMax2);
mean->SetXTitle("Input");
mean->SetYTitle("Poisson");
mean->SetDirectory(0);
mean->SetOption("colz");
mean->SetStats(0);
TLine* lmean = new TLine(tMin2, tMin2, tMax2, tMax2);
TH1D* dist = new TH1D("dist", "Distribution of hits", tN1, tMin1, tMax1);
dist->SetXTitle("s");
dist->SetYTitle("P(s)");
dist->SetFillColor(kRed+1);
dist->SetFillStyle(3001);
dist->SetDirectory(0);
TH1D* diff = new TH1D("diff", "P-T", 100, -25, 25);
diff->SetXTitle("Difference");
diff->SetFillColor(kRed+1);
diff->SetFillStyle(3001);
diff->SetYTitle("Prob");
AliPoissonCalculator* c = new AliPoissonCalculator("ignored");
c->Init(nBin ,nBin);
for (Int_t i = 0; i < nEv; i++) {
c->Reset(base);
base->Reset();
for (Int_t iEta = 0; iEta < nBin; iEta++) {
for (Int_t iPhi = 0; iPhi < nBin; iPhi++) {
// Throw a die
Int_t m = gRandom->Poisson(mp);
dist->Fill(m);
// Fill into our base histogram
base->Fill(iEta, iPhi, m);
// Fill into poisson calculator
c->Fill(iEta, iPhi, m > 0, (useWeights ? m : 1));
}
}
// Calculate the result
TH2D* res = c->Result(correct);
// Now loop and compare
Double_t mBase = 0;
Double_t mPois = 0;
for (Int_t iEta = 0; iEta < nBin; iEta++) {
for (Int_t iPhi = 0; iPhi < nBin; iPhi++) {
Double_t p = res->GetBinContent(iEta, iPhi);
Double_t t = base->GetBinContent(iEta, iPhi);
mBase += t;
mPois += p;
corr->Fill(t, p);
diff->Fill(p-t);
}
}
Int_t nn = nBin * nBin;
mean->Fill(mBase / nn, mPois / nn);
}
TCanvas* cc = new TCanvas("c", "c", 900, 900);
cc->SetFillColor(0);
cc->SetFillStyle(0);
cc->SetBorderMode(0);
cc->SetRightMargin(0.02);
cc->SetTopMargin(0.02);
cc->Divide(2,2);
TVirtualPad* pp = cc->cd(1);
pp->SetFillColor(0);
pp->SetFillStyle(0);
pp->SetBorderMode(0);
pp->SetRightMargin(0.15);
pp->SetTopMargin(0.02);
pp->SetLogz();
pp->SetGridx();
pp->SetGridy();
corr->Draw();
lcorr->Draw();
pp = cc->cd(2);
pp->SetFillColor(0);
pp->SetFillStyle(0);
pp->SetBorderMode(0);
pp->SetRightMargin(0.02);
pp->SetTopMargin(0.02);
#if 0
c->GetMean()->Draw();
#elif 1
pp->SetLogy();
diff->Draw();
#elif 1
c->GetOccupancy()->Draw();
#else
pp->SetLogy();
dist->SetStats(0);
dist->Scale(1. / dist->Integral());
dist->Draw();
TH1D* m1 = c->GetMean();
m1->Scale(1. / m1->Integral());
m1->Draw("same");
Double_t eI;
Double_t ii = 100 * dist->Integral(2, 0);
TLatex* ll = new TLatex(.97, .85,
Form("Input #bar{m}: %5.3f", mp));
ll->SetNDC();
ll->SetTextFont(132);
ll->SetTextAlign(31);
ll->Draw();
ll->DrawLatex(.97, .75, Form("Result #bar{m}: %5.3f", dist->GetMean()));
ll->DrawLatex(.97, .65, Form("Occupancy: #int_{1}^{#infty}P(s)ds = %6.2f%%",
ii));
#endif
pp = cc->cd(3);
pp->SetFillColor(0);
pp->SetFillStyle(0);
pp->SetBorderMode(0);
pp->SetRightMargin(0.15);
pp->SetTopMargin(0.02);
pp->SetGridx();
pp->SetGridy();
c->GetCorrection()->Draw();
pp = cc->cd(4);
pp->SetFillColor(0);
pp->SetFillStyle(0);
pp->SetBorderMode(0);
pp->SetRightMargin(0.15);
pp->SetTopMargin(0.02);
pp->SetLogz();
pp->SetGridx();
pp->SetGridy();
mean->Draw();
lmean->Draw();
cc->cd();
}
void makeqaplot(int run=0, int plt=0, int save=0){
runnum=run;
yearday=run/1000;
if(save==0) {png=0; pdf=0;}
if(save==1) {png=1; pdf=0;}
if(save==2) {png=0; pdf=1;}
if(save==3) {png=1; pdf=1;}
c1 = new TCanvas("c1","QA",50,50,800,800);
gStyle->SetLabelSize(0.04,"xy");
//colortable();
gStyle->SetPalette(1);
gStyle->SetStatW(0.4);
char fname[50];
if(run==0) {sprintf(fname,"fgtQA.root");}
else {sprintf(fname,"%d/fgtQA_%d.root",yearday,run);}
cout << "Opening "<<fname<<endl;
file=new TFile(fname,"");
char c[50];
if(plt==0 || plt==1) {
gStyle->SetOptStat(111110);
c1->Divide(1,3);
for(int i=0; i<3; i++){
TVirtualPad* pad = c1->cd(i+1);
int log=0;
if(i>0) {log=1;}
pad->SetLogy(log);
hist0[i]=(TH1F*) file->Get(cHist[i]);
hist0[i]->SetFillColor(kBlue);
hist0[i]->Draw();
if(i==2){
float ntot = float(hist0[i]->GetEntries());
if(ntot>0.0){
int nbin = hist0[i]->GetNbinsX();
float nofgt = hist0[i]->Integral(1,1);
int bin = hist0[i]->FindBin(float(kFgtNumElecIds));
float nonzs = hist0[i]->Integral(bin-1,nbin+1);
float zs = hist0[i]->Integral(2,bin-2);
hist0[i]->GetXaxis()->SetRange(2, bin-2);
float mean = hist0[i]->GetMean() / float(kFgtNumElecIds);
char c[100];
sprintf(c,"Total %d",ntot); TText *t1 = new TText(0.3,0.8,c); t1->SetNDC(); t1->SetTextSize(0.06); t1->Draw();
sprintf(c,"NoFGT %d (%5.2f)",nofgt,nofgt/ntot); TText *t2 = new TText(0.3,0.7,c); t2->SetNDC(); t2->SetTextSize(0.06); t2->Draw();
sprintf(c,"NoneZS %d (%5.2f)",nonzs,nonzs/ntot); TText *t3 = new TText(0.3,0.6,c); t3->SetNDC(); t3->SetTextSize(0.06); t3->Draw();
sprintf(c,"ZS %d (%5.2f)",zs,zs/ntot); TText *t4 = new TText(0.3,0.5,c); t4->SetNDC(); t4->SetTextSize(0.06); t4->Draw();
sprintf(c,"Mean ZS data size/fullsize= %5.3f",mean); TText *t5 = new TText(0.3,0.4,c); t5->SetNDC(); t5->SetTextSize(0.06); t5->Draw();
if(mean>0.08) { t5->SetTextColor(2); }
else { t5->SetTextColor(4); }
}
}
}
c1->Update();
save("plot");
}
if(plt==0 || plt==2) {
c1->Clear();
gStyle->SetOptStat(0);
gStyle->SetOptTitle(0);
c1->Divide(1,3);
for(int i=3; i<6; i++){ hist0[i]=(TH1F*) file->Get(cHist[i]); }
int nevt=hist0[5]->GetEntries();
printf("Nevent=%d\n",nevt);
TVirtualPad* pad;
pad=c1->cd(1); pad->SetLogy(); pad->SetTopMargin(0.01); pad->SetRightMargin(0.01);
hist0[3]->GetXaxis()->SetLabelSize(0.07); hist0[3]->GetYaxis()->SetLabelSize(0.07);
hist0[3]->SetFillColor(kRed); hist0[3]->Scale(1/float(nevt)); hist0[3]->Draw();
TText *tx= new TText(0.87,0.0,"EleID"); tx->SetNDC(); tx->SetTextSize(0.1); tx->Draw();
TText *t3= new TText(0.05,0.1,"F3=frac in 3sig/2tb"); t3->SetNDC(); t3->SetTextSize(0.08); t3->SetTextAngle(90); t3->Draw();
pad=c1->cd(2); pad->SetLogy(); pad->SetTopMargin(0.01); pad->SetRightMargin(0.01);
hist0[4]->GetXaxis()->SetLabelSize(0.07); hist0[4]->GetYaxis()->SetLabelSize(0.07);
hist0[4]->SetFillColor(kBlue); hist0[4]->Scale(1/float(nevt)); hist0[4]->Draw();
tx->Draw();
TText *t4= new TText(0.05,0.1,"F10=frac in 10sig & >500"); t4->SetNDC(); t4->SetTextSize(0.08); t4->SetTextAngle(90); t4->Draw();
float min=-4;
int max=hist0[3]->GetNbinsX();
printf("Max=%d\n",max);
TH1F *h1 = new TH1F("ZSdataFrac","ZSdataFrac",50,min,0);
TH1F *h2 = new TH1F("10SigmaFrac","10SigmaFrac",50,min,0);
float f1[kFgtNumElecIds],f2[kFgtNumElecIds];
for(int i=0; i<max; i++){
f1[i] = log10(hist0[3]->GetBinContent(i+1)); if(f1[i]<min) {f1[i]=min;} h1->Fill(f1[i]);
f2[i] = log10(hist0[4]->GetBinContent(i+1)); if(f2[i]<min) {f2[i]=min;} h2->Fill(f2[i]);
}
pad = c1->cd(3); pad->Divide(2,1);
TVirtualPad *pad2;
pad2 = pad->cd(1);
pad2->SetLogy(); pad2->SetTopMargin(0.01); pad2->SetRightMargin(0.01);
h1->GetXaxis()->SetLabelSize(0.1); h1->GetYaxis()->SetLabelSize(0.1);
h2->GetXaxis()->SetLabelSize(0.1); h2->GetYaxis()->SetLabelSize(0.1);
h1->SetLineColor(kRed); h2->SetLineColor(kBlue);
if(h1->GetMaximum()>h2->GetMaximum()){
h1->Draw(); h2->Draw("SAME");
}else{
h2->Draw(); h1->Draw("SAME");
}
TText *t5= new TText(0.2,0.88,"Log(F3)"); t5->SetNDC(); t5->SetTextSize(0.1); t5->SetTextColor(2); t5->Draw();
TText *t6= new TText(0.6,0.88,"Log(F10)"); t6->SetNDC(); t6->SetTextSize(0.1); t6->SetTextColor(4); t6->Draw();
//read ped file
int eid, t;
float ped[kFgtNumElecIds],rms[kFgtNumElecIds],p,r;
int status[kFgtNumElecIds]; memset(status,0,sizeof(status));
cout<<"Reading Ped File "<<endl;
std::ifstream in("ped.txt");
if (!in.is_open()) {
cout << "Can't find file!\n";
exit(0);
}
while (!in.eof()){
in >> eid >> t >> p >> r;
ped[eid]=p;
rms[eid]=r;
}
in.close();
TH1F * hr1= new TH1F("RMS","RMS",60,0,120);
TH1F * hr2= new TH1F("RMS2","RMS2",60,0,120);
TH1F * hr3= new TH1F("RMS3","RMS3",60,0,120);
TH1F * hr4= new TH1F("RMS4","RMS4",60,0,120);
TH1F * hr5= new TH1F("RMS5","RMS5",60,0,120);
float f1l=-3.5, f1h=-0.5;
float f2l=-3.5, f2h=-1.2;
for(int i=0; i<kFgtNumElecIds; i++){
if(f1[i]<f1l) status[i]+=1;
if(f1[i]>f1h) status[i]+=2;
if(f1[i]<f2l) status[i]+=4;
if(f1[i]>f2h) status[i]+=8;
hr1->Fill(rms[i]);
if(f1[i]<f1l) {hr2->Fill(rms[i]);}
if(f1[i]<f1l || f1[i]>f1h) {hr3->Fill(rms[i]);}
if(f1[i]<f1l || f1[i]>f1h || f2[i]<f2l) {hr4->Fill(rms[i]);}
if(f1[i]<f1l || f1[i]>f1h || f2[i]<f2l || f2[i]>f2h) {hr5->Fill(rms[i]);}
}
char filename[150];
if(nevt>=1000){
sprintf(filename,"%d/status/status.%d.txt",yearday,run);
}else{
sprintf(filename,"%d/status/status.%d.lowstat.txt",yearday,run);
}
FILE* pfile=fopen(filename,"w");
if(!pfile){
printf("Couldn't open file %s\n",filename);
}else{
printf("Writing %s\n",filename);
for(int i=0; i<kFgtNumElecIds; i++){
fprintf(pfile,"%d 0x%d\n",i,status[i]);
}
fclose(pfile);
}
pad2 = pad->cd(2);
pad2->SetLogy(0); pad2->SetTopMargin(0.01); pad2->SetRightMargin(0.01);
hr1->GetXaxis()->SetLabelSize(0.1); hr1->GetYaxis()->SetLabelSize(0.05);
hr1->SetFillColor(3); hr1->Draw();
hr5->SetFillColor(9); hr5->Draw("same");
hr4->SetFillColor(4); hr4->Draw("same");
hr3->SetFillColor(6); hr3->Draw("same");
hr2->SetFillColor(2); hr2->Draw("same");
char cc1[100]; sprintf(cc1,"Log(F3)<%4.1f",f1l);
char cc2[100]; sprintf(cc2,"Log(F3)>%4.1f",f1h);
char cc3[100]; sprintf(cc3,"Log(F10)<%4.1f",f2l);
char cc4[100]; sprintf(cc4,"Log(F10)>%4.1f",f2h);
TText *t7 = new TText(0.6,0.88,cc1); t7->SetNDC(); t7->SetTextSize(0.07); t7->SetTextColor(2); t7->Draw();
TText *t8 = new TText(0.6,0.78,cc2); t8->SetNDC(); t8->SetTextSize(0.07); t8->SetTextColor(6); t8->Draw();
TText *t9 = new TText(0.6,0.68,cc3); t9->SetNDC(); t9->SetTextSize(0.07); t9->SetTextColor(4); t9->Draw();
TText *t10= new TText(0.6,0.58,cc4); t10->SetNDC(); t10->SetTextSize(0.07); t10->SetTextColor(9); t10->Draw();
TText *t11= new TText(0.6,0.48,"OK"); t11->SetNDC(); t11->SetTextSize(0.07); t11->SetTextColor(3); t11->Draw();
TText *t12= new TText(0.8,0.15,"PedRMS"); t12->SetNDC(); t12->SetTextSize(0.07); t12->Draw();
c1->Update();
save("frac");
}
/**
* Draw the Poisson estimate of the occupancy
*
* @param filename Input file name
* @param folder Input folder name in file
*
* @deprecated Use QATrender instead
* @ingroup pwglf_forward_scripts_qa
*/
void
DrawOccupancy(const char* filename="forward.root",
const char* folder="ForwardResults")
{
gStyle->SetPalette(1);
gStyle->SetOptFit(0);
gStyle->SetOptStat(0);
gStyle->SetOptTitle(0);
gStyle->SetTitleW(.4);
gStyle->SetTitleH(.1);
gStyle->SetTitleX(.4);
// gStyle->SetTitleY(.1);
gStyle->SetTitleColor(0);
gStyle->SetTitleStyle(0);
gStyle->SetTitleBorderSize(0);
TFile* file = TFile::Open(filename, "READ");
if (!file) {
Error("DrawOccupancy", "failed to open %s", filename);
return;
}
TList* forward = static_cast<TList*>(file->Get(folder));
if (!forward) {
Error("DrawOccupancy", "List %s not found in %s", folder, filename);
return;
}
TList* dc = static_cast<TList*>(forward->FindObject("fmdDensityCalculator"));
if (!dc) {
Error("DrawOccupancy", "List fmdDensityCalculator not found in Forward");
return;
}
TCanvas* c = new TCanvas("occupancy",
"Mean Occupancy", 900, 700);
c->SetFillColor(0);
c->SetBorderSize(0);
c->SetBorderMode(0);
c->SetHighLightColor(0);
c->SetBottomMargin(.15);
c->SetTopMargin(.02);
c->SetRightMargin(.02);
c->SetLeftMargin(.15);
c->Divide(3, 2, 0, 0);
Double_t corrs[5];
c->cd(1); corrs[0] = DrawRingOccupancy(dc, 1, 'I');
c->cd(2); corrs[1] = DrawRingOccupancy(dc, 2, 'I');
c->cd(5); corrs[2] = DrawRingOccupancy(dc, 2, 'O');
c->cd(3); corrs[3] = DrawRingOccupancy(dc, 3, 'I');
c->cd(6); corrs[4] = DrawRingOccupancy(dc, 3, 'O');
TVirtualPad* p = c->cd(4);
p->SetTopMargin(0.05);
p->SetRightMargin(0.10);
p->SetLeftMargin(0.15);
p->SetBottomMargin(0.15);
p->SetFillColor(0);
TH1D* hc = new TH1D("occ", "Mean occupancy", 5, .5, 5.5);
hc->SetFillColor(kRed+1);
hc->SetFillStyle(3001);
hc->SetMinimum(0.0);
hc->GetXaxis()->SetBinLabel(1,"FMD1i"); hc->SetBinContent(1,corrs[0]);
hc->GetXaxis()->SetBinLabel(2,"FMD2i"); hc->SetBinContent(2,corrs[1]);
hc->GetXaxis()->SetBinLabel(3,"FMD2o"); hc->SetBinContent(3,corrs[2]);
hc->GetXaxis()->SetBinLabel(4,"FMD3i"); hc->SetBinContent(4,corrs[3]);
hc->GetXaxis()->SetBinLabel(5,"FMD3o"); hc->SetBinContent(5,corrs[4]);
hc->GetXaxis()->SetLabelSize(0.08);
hc->GetYaxis()->SetTitle("#bar{occupancy}");
hc->SetMarkerSize(1.5);
hc->Draw("text hist");
hc->SetMaximum(hc->GetMaximum()*1.5);
// TH2D* highCuts = static_cast<TH2D*>(dc->FindObject("highCuts"));
// if (highCuts) highCuts->Draw("colz");
c->cd();
c->SaveAs("occupancy.png");
}
void plot(char* v, int run, int cut, TCanvas* cvs, int fit=0, int bin1=-1, int bin2=-1, float ymax=0.0, int rebin=0){
int bin0=1;
char c[100];
char c2[100];
readfile(OPT,run);
gStyle->SetOptStat(0);
gStyle->SetOptFit(0);
gStyle->SetOptTitle(0);
cvs->Clear();
int b1=bin1, b2=bin1+1, b3=bin2, b4=b3;
if(bin1<0) {cvs->Divide(kNPtBin-bin0,kNPtBin-bin0); b1=bin0; b2=kNPtBin; b3=bin0;}
float ptcut[kNPtBin+1]={0.5,1.0,1.5,2.0,2.5,3.0,10.0};
memset(PAR,0,sizeof(PAR));
TText* t;
for(int i=b1; i<b2; i++){
if(bin1<0) b4=i;
for(int j=b3; j<=b4; j++){
int cc=cut;
if(cut==99 && (v=="m1" || v=="m2")) cc=0;
if(cut==99 && v=="dphi") cc=1;
TH1F *h,*h2,*h3,*h4;
TH2F *h2d;
//get normalizations
float norm0=1.0;
float norm1=1.0;
float norm2=1.0;
float norm3=1.0;
if(v=="m0" || v=="phi0"){}
else{
sprintf(c,"m0_%1d_c%d",i,cc);
TH1F* h0 = (TH1F*)mTFile->Get(c);
norm0 = h0->GetEntries();
sprintf(c,"m2_%1d%1d_c%d",i,j,cc);
TH1F* h1 = (TH1F*)mTFile->Get(c);
norm1 = h1->GetEntries();
printf("n0=%d n1=%d\n",norm0,norm1);
norm2=norm1/norm0;
norm3=norm2/ZggCut;
}
int opt=1, log=0;
if(v=="mix"){
h3=mix(run,cc,i,j,0,1,h,h2);
h1->SetLineColor(1);
h2->SetLineColor(6);
}else if(v=="corr"){
h = mix(run,cc,i,j,0,1);
if(rebin>0) h->Rebin(rebin);
if(fit==1) h->GetXaxis()->SetRangeUser(PI/2.0,3.0*PI/2.0);
int nbin = h->GetNbinsX();
h->Sumw2();
if(run<20) {h->Scale(1.0/norm0*nbin/2.0/PI/ZggCut);}
else {h->Scale(1.0/norm0*nbin/2.0/PI);}
}else if(v=="norm"){
sprintf(c,"dphi_%1d%1d_c%d",i,j,cc);
h = (TH1F*)mTFile->Get(c);
if(rebin>0) h->Rebin(rebin);
if(fit==1) h->GetXaxis()->SetRangeUser(PI/2.0,3.0*PI/2.0);
int nbin = h->GetNbinsX();
h->Sumw2();
if(run<20) {h->Scale(1.0/norm0*nbin/2.0/PI/ZggCut);}
else {h->Scale(1.0/norm0*nbin/2.0/PI);}
}else if(v=="mall"){
sprintf(c,"m0_%1d_c%d",i,0);
sprintf(c2,"m0_%1d%1d_c%d",i,j,0);
h4 = (TH1F*)((TH1F*)mTFile->Get(c))->Clone(c2);
float norm4 = h4->Integral(h4->GetXaxis()->FindBin(MassCut0),h4->GetXaxis()->FindBin(MassCut1));
h4->Scale(norm1/norm4);
h = (TH1F*)((TH1F*)mTFile->Get(c))->Clone(c2);
sprintf(c,"m0_%1d_c%d",i,cc);
sprintf(c2,"m0_%1d%1d_c%d",i,j,cc);
h = (TH1F*)((TH1F*)mTFile->Get(c))->Clone(c2); h->SetLineColor(6);
h->Scale(norm2);
sprintf(c,"m1_%1d%1d_c%d",i,j,cc);
h2 = (TH1F*)mTFile->Get(c); h2->SetLineColor(2);
sprintf(c,"m2_%1d%1d_c%d",i,j,cc);
h3 = (TH1F*)mTFile->Get(c); h3->SetLineColor(4);
}else if(v=="z12"){
sprintf(c,"z1_%1d%1d_c%d",i,j,cc);
h = (TH1F*)mTFile->Get(c); h->SetLineColor(2);
sprintf(c,"z2_%1d%1d_c%d",i,j,cc);
h2 = (TH1F*)mTFile->Get(c); h2->SetLineColor(4);
}else if(v=="m0" || v=="phi0"){
sprintf(c,"%s_%1d_c%d",v,i,cc);
printf("%s\n",c);
h = (TH1F*)mTFile->Get(c);
}else if(v=="bbce"){
opt=1;
log=1;
sprintf(c,"%s_%1d%1d_c%d",v,i,j,cc);
printf("%s\n",c);
h = (TH1F*)mTFile->Get(c);
h->SetMinimum(0.1);
}else if(v=="phi1" || v=="phi2"){
opt=1;
sprintf(c,"%s_%1d%1d_c%d",v,i,j,cc);
printf("%s\n",c);
h = (TH1F*)mTFile->Get(c);
}else if(v=="phi1dphi"){
opt=2;
sprintf(c,"%s_%1d%1d_c%d",v,i,j,cc);
printf("%s\n",c);
h = (TH1F*)mTFile->Get(c);
}else{
sprintf(c,"%s_%1d%1d_c%d",v,i,j,cc);
printf("%s\n",c);
h = (TH1F*)mTFile->Get(c);
}
if(bin1<0){
TVirtualPad *pad = cvs->cd((i-bin0)*(kNPtBin-bin0)+(j-bin0)+1);
pad->SetRightMargin(0.01);
pad->SetLeftMargin(0);
pad->SetTopMargin(0);
pad->SetBottomMargin(0.01);
pad->Draw();
}
h->SetMinimum(0.0);
if(ymax>0.0) h->SetMaximum(ymax);
if(opt==0) h->Draw("e");
if(opt==1) h->Draw();
if(opt==2) h->Draw("colz");
if(v=="mall"){
h4->Draw("same");
h2->Draw("same");
h3->Draw("same");
}
if(v=="z12" || v=="mix") h2->Draw("same");
TF1* f;
if((v=="norm" || v=="corr") && fit==1){
f=new TF1("oneGaus",oneGaus,+PI/2.0,+PI*3.0/2.0,3);
f->SetParameters(norm3/10.0,norm3/2.0,0.3);
f->SetParNames("Const","IntFar","SigFar");
f->SetParLimits(0,0.0,1.0);
f->SetParLimits(1,0.0,1.0);
f->SetParLimits(2,0.0,3.0);
f->SetLineColor(2); f->SetLineWidth(1);
h->Fit("oneGaus","Q");
PAR[i][j][0]=f->GetParameter(0);
PAR[i][j][1]=f->GetParameter(1);
PAR[i][j][2]=f->GetParameter(2);
printf("norm=%8.6f Int=%8.6f IntFar=%8.6 SigFar=%6.3f C=%8.6f\n",
norm3,PAR[i][j][1]+PAR[i][j][0],PAR[i][j][1],PAR[i][j][2],PAR[i][j][0]);
}
if((v=="norm" || v="corr") && fit==2){
f=new TF1("twoGaus",twoGaus,-PI/2.0,+PI*3.0/2.0,5);
f->SetParameters(norm3/10.0,norm3/2.0,0.3,norm3/2.0,0.3);
f->SetParNames("Const","IntNear","SigNear","IntFar","SigFar");
f->SetParLimits(0,0.0,1.0);
f->SetParLimits(1,0.0,1.0);
f->SetParLimits(2,0.0,3.0);
f->SetParLimits(3,0.0,1.0);
f->SetParLimits(4,0.0,3.0);
f->SetLineColor(2); f->SetLineWidth(1);
h->Fit("twoGaus","Q");
PAR[i][j][0]=f->GetParameter(0);
PAR[i][j][1]=f->GetParameter(1);
PAR[i][j][2]=f->GetParameter(2);
PAR[i][j][3]=f->GetParameter(3);
PAR[i][j][4]=f->GetParameter(4);
printf("norm=%8.6f Int=%8.6f IntNear=%8.6f IntFar=%8.6f SigNear=%6.3f SigFar=%6.3f C=%8.6f\n",
norm3,PAR[i][j][1]+PAR[i][j][3]+PAR[i][j][0],PAR[i][j][1],PAR[i][j][3],
PAR[i][j][2],PAR[i][j][4],PAR[i][j][0]);
}
float xx=0.60, yy=0.85, dy=0.04, size=0.04;
if(bin1<0){xx=0.45, yy=0.90, dy=0.08, size=0.08;}
if(v=="z12") {xx=0.1; yy=0.35;}
t = new TText(xx, yy, Form("pT1=%3.1f-%3.1f",ptcut[i],ptcut[i+1])); t->SetNDC(); t->SetTextSize(size); t->Draw();
t = new TText(xx, yy-dy, Form("pT2=%3.1f-%3.1f",ptcut[j],ptcut[j+1])); t->SetNDC(); t->SetTextSize(size); t->Draw();
if(norm3>0.0){
t = new TText(xx, yy-dy*2, Form("P=%7.5f",norm3)); t->SetNDC(); t->SetTextSize(size); t->Draw();
}
if((v=="norm" || v="corr") && fit==1){
t = new TText(xx, yy-dy*3, Form("PBg=%7.5f", PAR[i][j][0])); t->SetNDC(); t->SetTextSize(size); t->Draw();
t = new TText(xx, yy-dy*4, Form("Paway=%7.5f",PAR[i][j][1])); t->SetNDC(); t->SetTextSize(size); t->Draw();
t = new TText(xx, yy-dy*5, Form("Saway=%4.2f",PAR[i][j][2])); t->SetNDC(); t->SetTextSize(size); t->Draw();
}
if((v=="norm" || v="corr") && fit==2){
t = new TText(xx, yy-dy*3, Form("Pnear=%7.5f",PAR[i][j][1])); t->SetNDC(); t->SetTextSize(size); t->Draw();
t = new TText(xx, yy-dy*4, Form("Paway=%7.5f",PAR[i][j][3])); t->SetNDC(); t->SetTextSize(size); t->Draw();
t = new TText(xx, yy-dy*5, Form("PBg=%7.5f", PAR[i][j][0])); t->SetNDC(); t->SetTextSize(size); t->Draw();
t = new TText(xx, yy-dy*6, Form("Snear=%4.2f",PAR[i][j][2])); t->SetNDC(); t->SetTextSize(size); t->Draw();
t = new TText(xx, yy-dy*7, Form("Saway=%4.2f",PAR[i][j][4])); t->SetNDC(); t->SetTextSize(size); t->Draw();
}
if(cut==88) h->SetLineColor(2);
if(cut==99 && (v=="m1"|| v=="m2")){
sprintf(c,"%s_%1d%1d_c%d",v,i,j,1);
h = (TH1F*)mTFile->Get(c);
h->SetLineColor(4);
h->Draw("same");
sprintf(c,"%s_%1d%1d_c%d",v,i,j,2);
h = (TH1F*)mTFile->Get(c);
h->SetLineColor(2);
h->Draw("same");
}
if(cut==99 && v=="dphi"){
h->SetLineColor(4);
sprintf(c,"%s_%1d%1d_c%d",v,i,j,2);
h = (TH1F*)mTFile->Get(c);
h->SetLineColor(2);
h->Draw("same");
}
if(bin1>0){
t = new TText(0.1, 0.92,Form("%s %s",CBEAM,CCUT[cut])); t->SetNDC(); t->SetTextSize(0.07); t->SetTextColor(1); t->Draw();
if (run==1 || run==11) {sprintf(c,"plot/dipi0_pp_%s_c%d_bin%d%d.png",v,cut,i,j);}
else if(run==5 || run==15) {sprintf(c,"plot/dipi0_pau1_%s_c%d_bin%d%d.png",v,cut,i,j);}
else if(run==2 || run==12) {sprintf(c,"plot/dipi0_pau2_%s_c%d_bin%d%d.png",v,cut,i,j);}
else if(run==3 || run==13) {sprintf(c,"plot/dipi0_pal_%s_c%d_bin%d%d.png",v,cut,i,j);}
else {sprintf(c,"plot/dipi0_%d_%s_c%d_bin%d%d.png",run,v,cut,i,j);}
printf("Saving %s\n",c);
cvs->SaveAs(c);
}
}
}
if(bin1<0){
cvs->cd(2);
t = new TText(0.0, 0.85,Form("%s %s",CBEAM,CCUT[cut])); t->SetNDC(); t->SetTextSize(0.12); t->SetTextColor(1); t->Draw();
}
if(v=="mall"){
t = new TText(0.05, 0.65,"M1(no mass, scaled)"); t->SetNDC(); t->SetTextSize(0.10); t->SetTextColor(1); t->Draw();
t = new TText(0.05, 0.55,"M1(without M2)/P"); t->SetNDC(); t->SetTextSize(0.10); t->SetTextColor(6); t->Draw();
t = new TText(0.05, 0.45,"M1(with M2)"); t->SetNDC(); t->SetTextSize(0.10); t->SetTextColor(2); t->Draw();
t = new TText(0.05, 0.35,"M2"); t->SetNDC(); t->SetTextSize(0.10); t->SetTextColor(4); t->Draw();
}
if(v=="z12"){
t = new TText(0.05, 0.65,"Zgg1"); t->SetNDC(); t->SetTextSize(0.10); t->SetTextColor(2); t->Draw();
t = new TText(0.05, 0.55,"Zgg2"); t->SetNDC(); t->SetTextSize(0.10); t->SetTextColor(4); t->Draw();
}
if(cut==99) {
t = new TText(0.0, 0.65, "Inclusive Pair"); t->SetNDC(); t->SetTextSize(0.12); t->SetTextColor(4); t->Draw();
t = new TText(0.0, 0.45, "Exclusive Pair"); t->SetNDC(); t->SetTextSize(0.12); t->SetTextColor(2); t->Draw();
}
if(bin1<0){
if (run==1 || run==11) {sprintf(c,"plot/dipi0_pp_%s_c%d.png",v,cut);}
else if(run==5 || run==15) {sprintf(c,"plot/dipi0_pau1_%s_c%d.png",v,cut);}
else if(run==2 || run==12) {sprintf(c,"plot/dipi0_pau2_%s_c%d.png",v,cut);}
else if(run==3 || run==13) {sprintf(c,"plot/dipi0_pal_%s_c%d.png",v,cut);}
else {sprintf(c,"plot/dipi0_%d_%s_c%d.png",run,v,cut);}
printf("Saving %s\n",c);
cvs->SaveAs(c);
}
}
void make_v2_graphs(const char* output = "v2_inputs.root")
{
TFile* fout = new TFile(output,"recreate");
fout->cd();
TGraphErrors* trig_inc_v2[4]; TGraphErrors* trig_inc_sys[4];
TGraphErrors* trig_dec_v2[4]; TGraphErrors* trig_dec_sys[4];
TGraphErrors* trig_pi0_v2[4]; TGraphErrors* trig_pi0_sys[4];
TGraphErrors* hassoc_v2[4]; TGraphErrors* hassoc_sys[4];
//[centrality][pt]
double inc_v2[4][4]; double inc_v2_err[4][4]; double inc_v2_sys[4][4];
double dec_v2[4][4]; double dec_v2_err[4][4]; double dec_v2_sys[4][4];
double pi0_v2[4][4]; double pi0_v2_err[4][4]; double pi0_v2_sys[4][4];
double hadron_v2[4][5]; double hadron_v2_err[4][5]; double hadron_v2_sys[4][5];
inc_v2[0][0] = 0.0423226; inc_v2_err[0][0] = 0.00175307; inc_v2_sys[0][0] = 0.0076029;
inc_v2[1][0] = 0.0852710; inc_v2_err[1][0] = 0.00207489; inc_v2_sys[1][0] = 0.0179611;
inc_v2[2][0] = 0.1379880; inc_v2_err[2][0] = 0.00432101; inc_v2_sys[2][0] = 0.0183026;
inc_v2[3][0] = 0.4418120; inc_v2_err[3][0] = 0.01932520; inc_v2_sys[3][0] = 0.0197302;
inc_v2[0][1] = 0.0461296; inc_v2_err[0][1] = 0.00454517; inc_v2_sys[0][1] = 0.00432369;
inc_v2[1][1] = 0.0738878; inc_v2_err[1][1] = 0.00558803; inc_v2_sys[1][1] = 0.01509860;
inc_v2[2][1] = 0.1432810; inc_v2_err[2][1] = 0.01209420; inc_v2_sys[2][1] = 0.01267580;
inc_v2[3][1] = 0.5100750; inc_v2_err[3][1] = 0.05529200; inc_v2_sys[3][1] = 0.04872020;
inc_v2[0][2] = 0.0398415; inc_v2_err[0][2] = 0.00836215; inc_v2_sys[0][2] = 0.00344175;
inc_v2[1][2] = 0.0520371; inc_v2_err[1][2] = 0.01062420; inc_v2_sys[1][2] = 0.02247170;
inc_v2[2][2] = 0.1245420; inc_v2_err[2][2] = 0.02340030; inc_v2_sys[2][2] = 0.01237760;
inc_v2[3][2] = 0.4952110; inc_v2_err[3][2] = 0.11218300; inc_v2_sys[3][2] = 0.15661100;
inc_v2[0][3] = 0.0169588; inc_v2_err[0][3] = 0.0189458; inc_v2_sys[0][3] = 0.00465717;
inc_v2[1][3] = 0.0644017; inc_v2_err[1][3] = 0.0252076; inc_v2_sys[1][3] = 0.02599590;
inc_v2[2][3] = 0.0260897; inc_v2_err[2][3] = 0.0570124; inc_v2_sys[2][3] = 0.05901420;
inc_v2[3][3] = -0.299766; inc_v2_err[3][3] = 0.2958920; inc_v2_sys[3][3] = 0.79791400;
pi0_v2[0][0] = 0.0835297; pi0_v2_err[0][0] = 0.00287215; pi0_v2_sys[0][0] = 0.0118235;
pi0_v2[1][0] = 0.1335370; pi0_v2_err[1][0] = 0.00330527; pi0_v2_sys[1][0] = 0.0229443;
pi0_v2[2][0] = 0.1744460; pi0_v2_err[2][0] = 0.00671865; pi0_v2_sys[2][0] = 0.0244753;
pi0_v2[3][0] = 0.4214010; pi0_v2_err[3][0] = 0.02954310; pi0_v2_sys[3][0] = 0.0485074;
pi0_v2[0][1] = 0.0755782; pi0_v2_err[0][1] = 0.00531345; pi0_v2_sys[0][1] = 0.00960588;
pi0_v2[1][1] = 0.1162020; pi0_v2_err[1][1] = 0.00587208; pi0_v2_sys[1][1] = 0.02417620;
pi0_v2[2][1] = 0.1548150; pi0_v2_err[2][1] = 0.01164770; pi0_v2_sys[2][1] = 0.01545110;
pi0_v2[3][1] = 0.5469130; pi0_v2_err[3][1] = 0.05027790; pi0_v2_sys[3][1] = 0.03882330;
pi0_v2[0][2] = 0.0839048; pi0_v2_err[0][2] = 0.01013930; pi0_v2_sys[0][2] = 0.01805810;
pi0_v2[1][2] = 0.1030550; pi0_v2_err[1][2] = 0.01122400; pi0_v2_sys[1][2] = 0.03859360;
pi0_v2[2][2] = 0.0801250; pi0_v2_err[2][2] = 0.05710570; pi0_v2_sys[2][2] = 0.02456170;
pi0_v2[3][2] = 0.5638220; pi0_v2_err[3][2] = 0.10233000; pi0_v2_sys[3][2] = 0.02597060;
pi0_v2[0][3] = 0.1055550; pi0_v2_err[0][3] = 0.0258798; pi0_v2_sys[0][3] = 0.04751440;
pi0_v2[1][3] = 0.0861201; pi0_v2_err[1][3] = 0.0290550; pi0_v2_sys[1][3] = 0.02462110;
pi0_v2[2][3] = 0.1169110; pi0_v2_err[2][3] = 0.0579355; pi0_v2_sys[2][3] = 0.06628670;
pi0_v2[3][3] = 0.4231040; pi0_v2_err[3][3] = 0.3135600; pi0_v2_sys[3][3] = 0.25851400;
dec_v2[0][0] = 0.0802729; dec_v2_err[0][0] = 0.00259655; dec_v2_sys[0][0] = 0.0106477;
dec_v2[1][0] = 0.1270690; dec_v2_err[1][0] = 0.00292113; dec_v2_sys[1][0] = 0.0236515;
dec_v2[2][0] = 0.1708000; dec_v2_err[2][0] = 0.00588472; dec_v2_sys[2][0] = 0.0221000;
dec_v2[3][0] = 0.4716660; dec_v2_err[3][0] = 0.02824160; dec_v2_sys[3][0] = 0.0515539;
dec_v2[0][1] = 0.0769908; dec_v2_err[0][1] = 0.00440387; dec_v2_sys[0][1] = 0.01112830;
dec_v2[1][1] = 0.1142120; dec_v2_err[1][1] = 0.00505774; dec_v2_sys[1][1] = 0.02610160;
dec_v2[2][1] = 0.1723320; dec_v2_err[2][1] = 0.01048860; dec_v2_sys[2][1] = 0.01933210;
dec_v2[3][1] = 0.5762520; dec_v2_err[3][1] = 0.05424370; dec_v2_sys[3][1] = 0.04244810;
//testing old v2 because 9-12 seems high
//v2[2][2] = 0.242351; err_v2_pi0[2][2] = 0.0226531; sys_err_v2_pi0[2][2] = 0.0129369;
dec_v2[0][2] = 0.0831338; dec_v2_err[0][2] = 0.00951379; dec_v2_sys[0][2] = 0.02080890;
dec_v2[1][2] = 0.1005180; dec_v2_err[1][2] = 0.01043080; dec_v2_sys[1][2] = 0.03353270;
dec_v2[2][2] = 0.2019460; dec_v2_err[2][2] = 0.02221120; dec_v2_sys[2][2] = 0.01217420;
dec_v2[3][2] = 0.5698930; dec_v2_err[3][2] = 0.11125100; dec_v2_sys[3][2] = 0.03953840;
dec_v2[0][3] = 0.1026670; dec_v2_err[0][3] = 0.0238731; dec_v2_sys[0][3] = 0.03616490;
dec_v2[1][3] = 0.0893677; dec_v2_err[1][3] = 0.0271222; dec_v2_sys[1][3] = 0.03356940;
dec_v2[2][3] = 0.1307690; dec_v2_err[2][3] = 0.0609939; dec_v2_sys[2][3] = 0.07152490;
dec_v2[3][3] = 0.3373860; dec_v2_err[3][3] = 0.2751690; dec_v2_sys[3][3] = 0.37330200;
hadron_v2[0][4]=0.0440219; hadron_v2_err[0][4]=0.000145508; hadron_v2_sys[0][4]=0.00137609;
hadron_v2[1][4]=0.0826719; hadron_v2_err[1][4]=0.000171826; hadron_v2_sys[1][4]=0.00296920;
hadron_v2[2][4]=0.0980676; hadron_v2_err[2][4]=0.000408317; hadron_v2_sys[2][4]=0.00221491;
hadron_v2[3][4]=0.0868451; hadron_v2_err[3][4]=0.001215900; hadron_v2_sys[3][4]=0.00435710;
hadron_v2[0][0]=0.0745276; hadron_v2_err[0][0]=7.62922e-05; hadron_v2_sys[0][0]=0.00202200;
hadron_v2[1][0]=0.1381520; hadron_v2_err[1][0]=8.20737e-05; hadron_v2_sys[1][0]=0.00419830;
hadron_v2[2][0]=0.1646640; hadron_v2_err[2][0]=0.000219383; hadron_v2_sys[2][0]=0.00260620;
hadron_v2[3][0]=0.1693740; hadron_v2_err[3][0]=0.001336240; hadron_v2_sys[3][0]=0.00693613;
hadron_v2[0][1]=0.1095070; hadron_v2_err[0][1]=0.000216781; hadron_v2_sys[0][1]=0.00307190;
hadron_v2[1][1]=0.1933760; hadron_v2_err[1][1]=0.000249992; hadron_v2_sys[1][1]=0.00579030;
hadron_v2[2][1]=0.2177190; hadron_v2_err[2][1]=0.000623148; hadron_v2_sys[2][1]=0.00315090;
hadron_v2[3][1]=0.2150790; hadron_v2_err[3][1]=0.003462490; hadron_v2_sys[3][1]=0.00682347;
hadron_v2[0][2]=0.1103720; hadron_v2_err[0][2]=0.000591522; hadron_v2_sys[0][2]=0.00322900;
hadron_v2[1][2]=0.1907190; hadron_v2_err[1][2]=0.000680041; hadron_v2_sys[1][2]=0.00616680;
hadron_v2[2][2]=0.2077700; hadron_v2_err[2][2]=0.001614320; hadron_v2_sys[2][2]=0.00375637;
hadron_v2[3][2]=0.2052480; hadron_v2_err[3][2]=0.008518280; hadron_v2_sys[3][2]=0.01208620;
hadron_v2[0][3]=0.0827500; hadron_v2_err[0][3]=0.00844; hadron_v2_sys[0][3]=0.00500;
hadron_v2[1][3]=0.1297000; hadron_v2_err[1][3]=0.01350; hadron_v2_sys[1][3]=0.00830;
hadron_v2[2][3]=0.1718000; hadron_v2_err[2][3]=0.01718; hadron_v2_sys[2][3]=0.00858;
hadron_v2[3][3]=0.2052480; hadron_v2_err[3][3]=8.52e-4; hadron_v2_sys[3][3]=0.05*hadron_v2[3][4];
double pt_trig[4] = {5.5,7.5,9.5,12.5};
double pt_trig_err[4] = {0,0,0,0};
double pt_assoc[5] = {0.6,1.3,2.3,3.5,5.5};
double pt_assoc_err[5] = {0,0,0,0,0};
std::ostringstream name;
for( int i = 0; i < 4; i++ )
{
name.str("");
name << "gamma_inc_v2_" << i;
trig_inc_v2[i] = new TGraphErrors(4,pt_trig,inc_v2[i],pt_trig_err,inc_v2_err[i]);
trig_inc_v2[i]->SetName(name.str().c_str());
trig_inc_v2[i]->SetTitle(name.str().c_str());
trig_inc_v2[i]->Write();
name.str("");
name << "gamma_inc_v2sys_" << i;
trig_inc_sys[i] = new TGraphErrors(4,pt_trig,inc_v2[i],pt_trig_err,inc_v2_sys[i]);
trig_inc_sys[i]->SetName(name.str().c_str());
trig_inc_sys[i]->SetTitle(name.str().c_str());
trig_inc_sys[i]->Write();
name.str("");
name << "gamma_dec_v2_" << i;
trig_dec_v2[i] = new TGraphErrors(4,pt_trig,dec_v2[i],pt_trig_err,dec_v2_err[i]);
trig_dec_v2[i]->SetName(name.str().c_str());
trig_dec_v2[i]->SetTitle(name.str().c_str());
trig_dec_v2[i]->Write();
name.str("");
name << "gamma_dec_v2sys_" << i;
trig_dec_sys[i] = new TGraphErrors(4,pt_trig,dec_v2[i],pt_trig_err,dec_v2_sys[i]);
trig_dec_sys[i]->SetName(name.str().c_str());
trig_dec_sys[i]->SetTitle(name.str().c_str());
trig_dec_sys[i]->Write();
name.str("");
name << "pi0_v2_" << i;
trig_pi0_v2[i] = new TGraphErrors(4,pt_trig,pi0_v2[i],pt_trig_err,pi0_v2_err[i]);
trig_pi0_v2[i]->SetName(name.str().c_str());
trig_pi0_v2[i]->SetTitle(name.str().c_str());
trig_pi0_v2[i]->Write();
name.str("");
name << "pi0_v2sys_" << i;
trig_pi0_sys[i] = new TGraphErrors(4,pt_trig,pi0_v2[i],pt_trig_err,pi0_v2_sys[i]);
trig_pi0_sys[i]->SetName(name.str().c_str());
trig_pi0_sys[i]->SetTitle(name.str().c_str());
trig_pi0_sys[i]->Write();
name.str("");
name << "hadron_v2_" << i;
hassoc_v2[i] = new TGraphErrors(5,pt_assoc,hadron_v2[i],pt_assoc_err,hadron_v2_err[i]);
hassoc_v2[i]->SetName(name.str().c_str());
hassoc_v2[i]->SetTitle(name.str().c_str());
hassoc_v2[i]->Write();
name.str("");
name << "hadron_v2sys_" << i;
hassoc_sys[i] = new TGraphErrors(5,pt_assoc,hadron_v2[i],pt_assoc_err,hadron_v2_sys[i]);
hassoc_sys[i]->SetName(name.str().c_str());
hassoc_sys[i]->SetTitle(name.str().c_str());
hassoc_sys[i]->Write();
}
int cent[5] = {0,20,40,60,90};
int color[4] = {kBlack,kRed,kBlue,kViolet-7};
int sys_color[4] = {kGray,kRed-9,kBlue-9,kViolet-9};
TCanvas* can = new TCanvas("can","can");
can->Divide(2,2,0.001,0.001);
TH1D* thisto = new TH1D("thisto",";p^{#gamma}_{T} ;v_{2} ",100,0.0,15.0);
thisto->SetAxisRange(0.0,0.75,"Y");
thisto->SetAxisRange(4.5,14.0,"X");
TH1D* ahisto = new TH1D("ahisto",";p^{h}_{T} ;v_{2} ",100,0.0,15.0);
ahisto->SetAxisRange(0.0,0.75,"Y");
ahisto->SetAxisRange(0.0,6.0,"X");
for( int i = 0; i < 4; i++ )
{
TVirtualPad* pad = can->cd(i+1);
pad->SetRightMargin(0.01);
pad->SetTopMargin(0.01);
if( i < 3 ) thisto->Draw();
else ahisto->Draw();
}
TLegend* leg = new TLegend(0.5,0.5,0.9,0.9);
leg->SetBorderSize(0);
leg->SetFillColor(0);
for( int ic = 0; ic < 4; ic++ )
{
can->cd(1);
trig_inc_sys[ic]->SetMarkerSize(0);
trig_inc_sys[ic]->SetLineWidth(10);
trig_inc_sys[ic]->SetLineColor(sys_color[ic]);
trig_inc_sys[ic]->Draw("E1,Psame");
trig_inc_v2[ic]->SetMarkerColor(color[ic]);
trig_inc_v2[ic]->SetLineColor(color[ic]);
trig_inc_v2[ic]->Draw("Psame");
// trig_inc_v2[ic]->Write();
// trig_inc_sys[ic]->Write();
can->cd(2);
trig_dec_sys[ic]->SetMarkerSize(0);
trig_dec_sys[ic]->SetLineWidth(10);
trig_dec_sys[ic]->SetLineColor(sys_color[ic]);
trig_dec_sys[ic]->Draw("E1,Psame");
trig_dec_v2[ic]->SetMarkerColor(color[ic]);
trig_dec_v2[ic]->SetLineColor(color[ic]);
trig_dec_v2[ic]->Draw("Psame");
can->cd(3);
trig_pi0_sys[ic]->SetMarkerSize(0);
trig_pi0_sys[ic]->SetLineWidth(10);
trig_pi0_sys[ic]->SetLineColor(sys_color[ic]);
trig_pi0_sys[ic]->Draw("E1,Psame");
trig_pi0_v2[ic]->SetMarkerColor(color[ic]);
trig_pi0_v2[ic]->SetLineColor(color[ic]);
trig_pi0_v2[ic]->Draw("Psame");
can->cd(4);
hassoc_sys[ic]->SetMarkerSize(0);
hassoc_sys[ic]->SetLineWidth(10);
hassoc_sys[ic]->SetLineColor(sys_color[ic]);
hassoc_sys[ic]->Draw("E1,Psame");
hassoc_v2[ic]->SetMarkerColor(color[ic]);
hassoc_v2[ic]->SetLineColor(color[ic]);
hassoc_v2[ic]->Draw("Psame");
name.str("");
name << cent[ic] << " - " << cent[ic+1] << "%";
leg->AddEntry(trig_inc_v2[ic],name.str().c_str(),"P");
}
leg->Draw();
can->Write();
}
void EstimateBg_76X(bool save=0, std::string in = "",
std::string out = "/afs/cern.ch/user/j/jkarancs/public/NOTES/notes/AN-14-290/trunk/Plots/v1.0/", std::string ext="png") {
gStyle->SetOptTitle(0);
gStyle->SetOptStat(0);
bool latex = save;
bool ABCD_prime = 0;
bool TT_only = 0;
std::stringstream ss, ss2;
ss<<DPHI_CUT; ss2<<R_CUT;
std::string dphi_cut = ss.str().replace(ss.str().find("."),1,"p");
std::string r_cut = ss2.str().replace(ss2.str().find("."),1,"p");
std::string filename = in.size() ? in :
//"results/Plotter_out_2016_05_31_08h48m57_replot.root";
"results/Plotter_out_2016_06_24_14h28m51.root";
std::vector<std::string> samples[4];
//samples[0].push_back("TTJetsMGHT");
//samples[0].push_back("TTJetsMG");
//samples[0].push_back("TTJetsNLOFXFX");
//samples[0].push_back("TTNLO");
//samples[0].push_back("TTNLOHerwig");
//samples[0].push_back("TTPowheg");
//samples[0].push_back("TTPowhegmpiOff");
//samples[0].push_back("TTPowhegnoCR");
//samples[0].push_back("TTPowhegHerwig");
//+data+ samples[1].push_back("SingleElectron");
//+data+ samples[1].push_back("SingleMuon");
if (TT_only) {
samples[1].push_back("TTJetsMGHT");
samples[1].push_back("TTJetsMG");
samples[1].push_back("TTJetsNLOFXFX");
samples[1].push_back("TTNLO");
samples[1].push_back("TTNLOHerwig");
samples[1].push_back("TTPowheg");
samples[1].push_back("TTPowhegmpiOFF");
samples[1].push_back("TTPowhegnoCR");
samples[1].push_back("TTPowhegHerwig");
} else {
samples[1].push_back("TTJetsMGHT");
//samples[1].push_back("TTJetsMG");
//samples[1].push_back("TTJetsNLOFXFX");
//samples[1].push_back("TTNLO");
//samples[1].push_back("TTNLOHerwig");
//samples[1].push_back("TTPowheg");
//samples[1].push_back("TTPowhegmpiOff");
//samples[1].push_back("TTPowhegnoCR");
//samples[1].push_back("TTPowhegHerwig");
samples[1].push_back("ZJets");
samples[1].push_back("TTX");
samples[1].push_back("WJets");
samples[1].push_back("Diboson");
samples[1].push_back("Top");
samples[1].push_back("QCD");
//ZERO samples[1].push_back("TZQ");
//ZERO samples[1].push_back("ZJetsToQQ"); // Also WJetsToQQ
//ZERO samples[1].push_back("GJets");
}
//samples[1].push_back("Data");
// NTop Sideband All background summed
samples[2].push_back("All Bkg.");
// Signal in NTop bins
samples[3].push_back("T1tttt");
bool baderror = false;
double weight[] = { 0.32686, 0.0505037, 0.00921411, 6.80717, 0.354934, 0.00484915 };
int rebin = /*(R_CUT*10-int(R_CUT*10))==0 ? 10 :*/ (R_CUT*20-int(R_CUT*20))==0 ? 5 : (R_CUT*50-int(R_CUT*50))==0 ? 2 : 1;
double sideband_fit_low_range[] = { 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15 };
int i_h_side[] = { 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 };
int i_h_signal[] = { 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 };
double scale_factors[] = { 1, 1, 1, 1, 1, 1, 1}; // All normal
//double scale_factors[] = { /* TT */ 1, /* W */ 1, /* Z */ 1, /* T */ 1, /* TTV */ 1, /* QCD */ 2, /* VV */ 1 }; // QCD high
//double scale_factors[] = { /* TT */ 5, /* W */ 1, /* Z */ 1, /* T */ 1, /* TTV */ 5, /* QCD */ 1, /* VV */ 1 }; // TT/TTV high
//double scale_factors[] = { /* TT */ 1, /* W */ 2, /* Z */ 2, /* T */ 2, /* TTV */ 1, /* QCD */ 1, /* VV */ 2 }; // T/V/VV high
Double_t Rranges_ABCD[][4] =
{ { DPHI_CUT, 3.2, 0.0, DPHI_CUT },
{ R_CUT_LOW-1e-10, R_CUT, R_CUT-1e-10, 1.20 },
{ R_CUT_LOW-1e-10, R_CUT, R_CUT-1e-10, 1.20 },
{ R_CUT_LOW-1e-10, R_CUT, R_CUT-1e-10, 1.20 } };
bool doFitting = false;
double sum_a = 0, sum_b = 0, sum_c = 0, sum_d = 0, sum_d_abcd = 0, sum_d_nevt = 0;
double sum_a_err = 0, sum_b_err = 0, sum_c_err = 0, sum_d_err = 0, sum_d_abcd_err = 0;
double sum_b_fit = 0, sum_d_fit = 0, sum_d_fit_comb = 0;
double sum_b_fit_err = 0, sum_d_fit_err = 0, sum_d_fit_comb_err = 0;
double comb_d = 0, comb_d_err = 0, comb_d_abcd = 0, comb_d_abcd_err = 0;
if (latex) {
printf("\\begin{table*}[htbH]\n");
printf("\\small\n");
printf("\\begin{center}\n");
printf("\\topcaption{Estimated Standard Model background yields in ABCD regions. A, B is in the sideband, C and D is the signal band, D is the signal region.\\label{tab:SMBkgEstimate}}\n");
printf("\\begin{tabular}{lrrrrrrrr}\n");
}
TFile *f = TFile::Open(filename.c_str());
for (size_t iMethod = 0; iMethod<4; ++iMethod) if (!(iMethod==0&&samples[0].size()==0)){
// Print Top row for each method
if (latex) {
if (iMethod==0) {
printf("\\hline\n");
printf("Method 2 & A & B & C & D = B*C/A & D obs. & Ratio pred./obs. & Pull & KS test\\\\\n");
} else if (iMethod==1){
printf("\\hline\n");
printf("Method 1 & A & B & C & D = B*C/A & D obs. & Ratio pred./obs. & Pull & KS test\\\\\n");
}
printf("\\hline\n");
} else {
std::stringstream r_sb_cut;
if (R_CUT_LOW==0) r_sb_cut<<"R<"<<R_CUT;
else r_sb_cut<<R_CUT_LOW<<"<R<"<<R_CUT;
const char* prime = ABCD_prime ? "'" : "";
//if (iMethod==0) printf("| *Sample* | *A (DPhi>2.8, SB)* | *B (DPhi<2.8, SB)* | *C (DPhi>2.8, Sig.B.)* | - | *D = B*C/A pred.* | *D (DPhi<2.8, Sig.B.) obs.* | *Ratio pred./obs.* |\n");
//else if (iMethod==1) printf("| *Sample* | *A (R<%1.1f, SB)* | *B (R>%1.1f, SB)* | *C (R<%1.1f, Sig.B.)* | *D = B (R fit, SB) * C/A pred.* | *D = B*C/A pred.* | *D (R>%1.1f, Sig.B.) obs.* | *Ratio pred./obs.* | \n", R_CUT, R_CUT, R_CUT, R_CUT);
if (iMethod==0) printf("| *Sample* | *A (DPhi>%1.1f, %s)* | *B (DPhi<%1.1f, %s)* | *C (DPhi>%1.1f, R>0.4)* | *D = B*C/A pred.* | *D (DPhi<%1.1f, R>0.4) obs.* | *Ratio pred./obs.* | *Pull (pred-obs)/error* | *KS test* |\n", DPHI_CUT, r_sb_cut.str().c_str(), DPHI_CUT, r_sb_cut.str().c_str(), DPHI_CUT, DPHI_CUT);
else if (iMethod==1) printf("| *Sample* | *A%s (%s, <2 tag)* | *B%s (R>%1.1f, <2 tag)* | *C%s (%s, 2 tag)* | *D%s = B%s*C%s/A%s pred.* | *D%s (R>%1.1f, 2 tag) obs.* | *Ratio pred./obs.* | *Pull (pred-obs)/error* | *KS test* |\n", prime, r_sb_cut.str().c_str(), prime, R_CUT, prime, r_sb_cut.str().c_str(), prime, prime, prime, prime, prime, R_CUT);
}
TH1D *h_side_sum, *h_signal_sum;
for (size_t iSample = 0; iSample<samples[iMethod].size(); ++iSample) {
std::string canname =
iMethod==0 ? std::string("DPhiBins")+(ABCD_prime ? "/RBins_0To1HadTop_" : "/RBins_2HadTop_")+samples[iMethod][iSample] :
iMethod==1 ? std::string("RFine/Tau32Cuts_")+(ABCD_prime ? "Fail" : "Pass")+"DPhiCut_"+samples[iMethod][iSample] :
iMethod==2 ? std::string("RFine/Tau32Cuts_")+(ABCD_prime ? "Fail" : "Pass")+"DPhiCut_Background" :
iMethod==3 ? std::string("RFine/Tau32Cuts_")+(ABCD_prime ? "Fail" : "Pass")+"DPhiCut_"+samples[iMethod][iSample] : "";
TCanvas *can = (TCanvas*)(f->Get(canname.c_str()));
can = (TCanvas*)can->Clone();
can->Draw();
TH1D *h_side = (TH1D*)can->GetListOfPrimitives()->At(i_h_side[iMethod]);
TH1D *h_signal = (TH1D*)can->GetListOfPrimitives()->At(i_h_signal[iMethod]);
// Simulate different cross section by scaling a certain background
if (iMethod==1) {
TH1D *h_side_temp_scaled = (TH1D*)h_side->Clone(); h_side_temp_scaled->Scale(scale_factors[iSample]);
TH1D *h_signal_temp_scaled = (TH1D*)h_signal->Clone(); h_signal_temp_scaled->Scale(scale_factors[iSample]);
if (iSample==0) {
h_side_sum = h_side_temp_scaled;
h_signal_sum = h_signal_temp_scaled;
} else {
h_side_sum->Add(h_side_temp_scaled);
h_signal_sum->Add(h_signal_temp_scaled);
}
} else if (iMethod==2) {
h_side = h_side_sum;
h_signal = h_signal_sum;
}
TH1D *h_pred =(TH1D*)h_side->Clone();
if (iMethod!=0&&rebin>1) { h_side->Rebin(rebin); h_signal->Rebin(rebin); h_pred->Rebin(rebin); }
TLegend *leg = (TLegend*)can->GetListOfPrimitives()->At(can->GetListOfPrimitives()->GetEntries()-1);
leg->SetX1(0.35); leg->SetX2(0.65); leg->SetY1(0.6);
// Add ratio plot
int y1 = 350;
int y2 = 150;
int mid2 = 10;
can->Divide(1,2);
// Pad 1 (80+500+20 x 40+500)
TVirtualPad* p = can->cd(1);
p->SetPad(0,(y2+60+mid2)/(y1+y2+100.0+mid2),1,1);
p->SetTopMargin(40.0/(y1+40));
p->SetBottomMargin(0);
p->SetRightMargin(0.05);
p->SetLogy(1);
h_side->GetYaxis()->SetRangeUser(1.00001e-4,1e4);
h_side->Draw("HIST");
h_signal->Draw("SAMEHISTE1");
leg->Draw();
// Pad 2 (80+500+20 x 200+60)
p = can->cd(2);
p->SetGrid(0,1);
p->SetPad(0,0,1,(y2+60+mid2)/(y1+y2+100.0+mid2));
p->SetTopMargin(((float)mid2)/(y2+60+mid2));
p->SetBottomMargin(60.0/(y2+60+mid2));
p->SetRightMargin(0.05);
TH1D* ratio = (TH1D*)h_signal->Clone();
TH1D* div = (TH1D*)h_side->Clone();
//ratio->Scale(1/ratio->GetSumOfWeights());
double sum_bins_ratio = iMethod==0 ? ratio->Integral():
ratio->Integral(ratio->FindBin(R_CUT_LOW),ratio->FindBin(Rranges_ABCD[iMethod][3]));
ratio->Scale(1/sum_bins_ratio);
ratio->SetTitleSize(32.0/(y2+60+mid2),"xyz");
ratio->SetLabelSize(20.0/(y2+60+mid2),"xyz");
//ratio->Scale(1/div->GetSumOfWeights());
double sum_bins_div = iMethod==0 ? div->Integral():
div->Integral(div->FindBin(R_CUT_LOW),div->FindBin(Rranges_ABCD[iMethod][3]));
div->Scale(1/sum_bins_div);
ratio->Divide(div);
//ratio->GetYaxis()->SetRangeUser(0,2);
ratio->GetXaxis()->SetTitleOffset(0.7);
ratio->GetYaxis()->SetNdivisions(305);
ratio->GetYaxis()->SetTitle("Ratio (Norm.)");
ratio->GetYaxis()->SetTitleOffset(0.4);
ratio->SetTitleSize(24.0/(y2+60+mid2),"y");
ratio->SetTitle("");
ratio->SetMarkerStyle(20);
ratio->SetMarkerColor(1);
ratio->SetLineColor(1);
ratio->GetYaxis()->SetRangeUser(0,4);
ratio->Draw("PE1");
TLine* l = new TLine(ratio->GetXaxis()->GetXmin(), 1, ratio->GetXaxis()->GetXmax(), 1);
l->SetLineWidth(2);
//l->SetLineColor(2);
l->SetLineStyle(2);
l->Draw();
gPad->Update();
// Fit ratio
//TF1 *fit_ratio;
//if (iMethod==1) {
// fit_ratio = new TF1("fit_ratio","pol0", Rranges_ABCD[iMethod][0], Rranges_ABCD[iMethod][1]);
// fit_ratio->SetLineColor(1);
// ratio->Fit("fit_ratio","RE");
// fit_ratio->SetRange(Rranges_ABCD[iMethod][0], Rranges_ABCD[iMethod][2]);
// fit_ratio->Draw("SAME");
//}
p = can->cd(1);
// calculate integrals
double integral[2][2] = { { 0, 0 }, { 0, 0 } };
double integral_error[2][2] = { { 0, 0 }, { 0, 0 } };
double nevt[2][2] = { { 0, 0 }, { 0, 0 } };
//std::cout<<samples[iMethod][iSample]<<":"<<std::endl;
for (int i=0; i<2; ++i) {
for (int bin=1; bin<=h_side->GetNbinsX(); ++bin) {
if (h_signal->GetXaxis()->GetBinLowEdge(bin)>=Rranges_ABCD[iMethod][i*2] &&
h_signal->GetXaxis()->GetBinUpEdge(bin)<=Rranges_ABCD[iMethod][i*2+1]) {
//std::cout<<bin<<"="<<h_side->GetBinCenter(bin);
//if (i==0) std::cout<<" in, ";
//else std::cout<<" out, ";
double c0 = h_side->GetBinContent(bin), c1 = h_signal->GetBinContent(bin);
double e0 = h_side->GetBinError(bin), e1 = h_signal->GetBinError(bin);
//std::cout<<h_signal->GetBinError(bin)<<" "<<sqrt(c1*weight[iSample])<<std::endl;
if (baderror&&iMethod==1) {
e0 = sqrt(c0*weight[iSample]);
e1 = sqrt(c1*weight[iSample]);
}
nevt[0][i] += (int)(c0*c0/(e0*e0) + 0.5);
nevt[1][i] += (int)(c1*c1/(e1*e1) + 0.5);
integral[0][i] += c0;
integral[1][i] += c1;
//if (iMethod==1) { // weight bin by projected ratio (correction)
// double bincent = h_signal->GetXaxis()->GetBinLowEdge(bin);
// integral[0][1] *= fit_ratio->Eval(bincent);
//}
integral_error[0][i] += e0*e0;
integral_error[1][i] += e1*e1;
//if (iSample==0&&e1>0) std::cout<<bin<<" "<<c1<<" +- "<<e1*e1<<" nevt = "<<((int)(c1*c1/(e1*e1) + 0.5))<<std::endl;
}
}
//if (iSample==1&&i==1) std::cout<<integral[1][i]<<" +- "<<integral_error[1][i]<<std::endl;
integral_error[0][i] = sqrt(integral_error[0][i]);
integral_error[1][i] = sqrt(integral_error[1][i]);
}
//std::cout<<nevt[1][1]<<std::endl;
// predict yields using 2 methods (ABCD and constrained R-shape fit method combined)
// ABCD method
double a = integral[0][0], b = integral[0][1], c = integral[1][0], d = integral[1][1];
double a_err = integral_error[0][0], b_err = integral_error[0][1], c_err = integral_error[1][0], d_err = integral_error[1][1];
// Calculate error
// z = x / y -> z_err = sqrt( (x*x*y_err*y_err + y*y*x_err*x_err)/(y*y*y*y) )
// z = x * y -> z_err = sqrt ( x*x*y_err*y_err + y*y*x_err*x_err )
double c_per_a_err = sqrt((c*c*a_err*a_err + a*a*c_err*c_err)/(a*a*a*a));
double d_abcd = b * (c/a), d_abcd_err = sqrt(b*b*c_per_a_err*c_per_a_err + (c/a)*(c/a)*b_err*b_err);
double d_nevt = nevt[1][1];
double d_ratio = d_abcd / d;
double d_ratio_err = sqrt((d_err/d)*(d_err/d) + (d_abcd_err/d_abcd)*(d_abcd_err/d_abcd))*d_ratio;
double d_pull = (d_abcd-d)/sqrt(d_abcd_err*d_abcd_err + d_err*d_err);
// Scaled plot
h_pred->Scale(c/a);
h_pred->SetLineColor(1);
h_pred->SetLineStyle(2);
h_pred->Draw("SAMEHIST");
leg->AddEntry(h_pred, "Prediction (ABCD)", "l");
double fit_integral[2][2], fit_integral_error[2][2], d_fit_comb = 0, d_fit_comb_err = 0;
if (iMethod==1) {
// Fit in the full range of NTop Sideband
// Do fitting and calculate integrals
TF1 *fit_side = new TF1("NTopSide_fit","exp([0]+[1]*x)", iMethod==2 ? 0.2 : sideband_fit_low_range[iSample], Rranges_ABCD[iMethod][3]);
fit_side->SetLineColor(h_side->GetLineColor());
h_side->Fit("NTopSide_fit","QRE");
//fit_side->Draw("SAME");
double Rranges_ACfit[3] = { sideband_fit_low_range[iSample], Rranges_ABCD[iMethod][2], Rranges_ABCD[iMethod][3] };
for (int i=0; i<2; ++i) {
fit_integral[0][i] = fit_side->Integral(Rranges_ACfit[i], Rranges_ACfit[i+1])/h_signal->GetXaxis()->GetBinWidth(1);
fit_integral_error[0][i] = fit_side->IntegralError(Rranges_ACfit[i], Rranges_ACfit[i+1])/h_signal->GetXaxis()->GetBinWidth(1);
}
double par0 = fit_side->GetParameter(0), par0_error = fit_side->GetParError(0);
double par1 = fit_side->GetParameter(1), par1_error = fit_side->GetParError(1);
double par1min, par1max; fit_side->GetParLimits(1, par1min, par1max);
// Fit in the Signal region
// Fitting in sideband, get B area under curve and scale by C/A
TF1 *fit_signal = new TF1("NTopSignal_RSide_fit","exp([0]+[1]*x)", Rranges_ACfit[0], Rranges_ABCD[iMethod][3]);
fit_signal->SetLineColor(h_signal->GetLineColor());
//fit_signal->SetParameter(1, par1);
//fit_signal->SetParLimits(1, par1min, par1max);
h_signal->Fit("NTopSignal_RSide_fit","QREB");
//fit_signal->Draw("SAME");
for (int i=0; i<2; ++i) {
fit_integral[1][i] = fit_signal->Integral(Rranges_ACfit[i], Rranges_ACfit[i+1])/h_signal->GetXaxis()->GetBinWidth(1);
fit_integral_error[1][i] = fit_signal->IntegralError(Rranges_ACfit[i], Rranges_ACfit[i+1])/h_signal->GetXaxis()->GetBinWidth(1);
}
d_fit_comb = fit_integral[0][1] * (c/a);
d_fit_comb_err = sqrt(fit_integral[0][1]*fit_integral[0][1]*c_per_a_err*c_per_a_err + (c/a)*(c/a)*fit_integral_error[0][1]*fit_integral_error[0][1]);
TF1 *fit_pred = new TF1("Predicted_fit","exp([0]+[1]*x)", Rranges_ACfit[0], Rranges_ACfit[2]);
fit_pred->SetLineColor(1);
fit_pred->SetLineStyle(2);
fit_pred->FixParameter(0, par0+std::log(c/a));
fit_pred->FixParameter(1, par1);
h_signal->Fit("Predicted_fit","QREB+");
//fit_pred->Draw("SAME");
}
// Save plot
if (iMethod==3) samples[iMethod][iSample] = "T1tttt";
std::string name = samples[iMethod][iSample];
if (iMethod==2) name = "AllBkg";
if (save) can->SaveAs((out+"BkgEst/ABCD_closure_"+name+"."+ext).c_str());
// Check compatibility of prediction to observed distribution
double ks_test = h_pred->KolmogorovTest(h_signal);
if (iMethod==1) {
sum_a += a; sum_b += b; sum_c += c; sum_d += d;
sum_a_err += a_err*a_err; sum_b_err += b_err*b_err; sum_c_err += c_err*c_err; sum_d_err += d_err*d_err;
sum_d_abcd += d_abcd; sum_d_abcd_err += d_abcd_err*d_abcd_err;
sum_b_fit += fit_integral[0][1]; sum_b_fit_err += fit_integral_error[0][1]*fit_integral_error[0][1];
sum_d_fit += fit_integral[1][1]; sum_d_fit_err += fit_integral_error[1][1]*fit_integral_error[1][1];
sum_d_fit_comb += d_fit_comb; sum_d_fit_comb_err += d_fit_comb_err*d_fit_comb_err;
sum_d_nevt += d_nevt;
//printf(" %.2f +- %.2f | %.2f +- %.2f | %.2f +- %.2f | %.2f +- %.2f |\n", d_fit_comb, d_fit_comb_err, d_abcd, d_abcd_err, d, d_err, d_ratio, d_ratio_err);
}
if (latex) {
printf("%s & $%.2f \\pm %.2f$ & $%.2f \\pm %.2f$ & $%.2f \\pm %.2f$ &", samples[iMethod][iSample].c_str(), a, a_err, b, b_err, c, c_err);
printf(" $%.2f \\pm %.2f$ & $%.2f \\pm %.2f$ & $%.2f \\pm %.2f$ & %.2f & %.2f \\\\\n", d_abcd, d_abcd_err, d, d_err, d_ratio, d_ratio_err, d_pull, ks_test);
} else {
printf("| %s | %.2f +- %.2f | %.2f +- %.2f | %.2f +- %.2f |", samples[iMethod][iSample].c_str(), a, a_err, b, b_err, c, c_err);
printf(" %.2f +- %.2f | %.2f +- %.2f | %.2f +- %.2f | %.2f | %.2f |\n", d_abcd, d_abcd_err, d, d_err, d_ratio, d_ratio_err, d_pull, ks_test);
}
// Combining best methods
if ((iMethod==0&&iSample==0)||(iMethod==1&&iSample!=0)) {
comb_d_abcd += d_abcd; comb_d += d; comb_d_abcd_err += d_abcd_err*d_abcd_err; comb_d_err += d_err*d_err;
}
}
if (iMethod==1) {
sum_a_err = sqrt(sum_a_err); sum_b_err = sqrt(sum_b_err); sum_c_err = sqrt(sum_c_err); sum_d_err = sqrt(sum_d_err);
sum_b_fit_err = sqrt(sum_b_fit_err); sum_d_fit_err = sqrt(sum_d_fit_err); sum_d_fit_comb_err = sqrt(sum_d_fit_comb_err);
double sum_d_ratio = sum_d_abcd / sum_d;
double sum_d_ratio_err = sqrt((sum_d_err/sum_d)*(sum_d_err/sum_d) + (sum_d_abcd_err/sum_d_abcd)*(sum_d_abcd_err/sum_d_abcd))*sum_d_ratio;
double sum_d_pull = (sum_d_abcd-sum_d)/sqrt(sum_d_abcd_err*sum_d_abcd_err + sum_d_err*sum_d_err);
if (latex) {
printf("\\hline\n");
printf("Sum Bkg. & $%.2f \\pm %.2f$ & $%.2f \\pm %.2f$ & $%.2f \\pm %.2f$ &", sum_a, sum_a_err, sum_b, sum_b_err, sum_c, sum_c_err);
printf(" $%.2f \\pm %.2f$ & $%.2f \\pm %.2f$ & $%.2f \\pm %.2f$ & %.2f & \\\\\n", sum_d_abcd, sum_d_abcd_err, sum_d, sum_d_err, sum_d_ratio, sum_d_ratio_err, sum_d_pull);
} else {
//printf("| Sum Bkg.| %.2f +- %.2f | %.2f +- %.2f | %.2f +- %.2f | %.2f +- %.2f |", sum_a, sum_a_err, sum_b_fit, sum_b_fit_err, sum_b, sum_b_err, sum_c, sum_c_err);
printf("| Sum Bkg.| %.2f +- %.2f | %.2f +- %.2f | %.2f +- %.2f |", sum_a, sum_a_err, sum_b, sum_b_err, sum_c, sum_c_err);
//printf(" %.2f +- %.2f | %.2f +- %.2f | %.2f +- %.2f | %.2f +- %.2f |\n", sum_d_fit_comb, sum_d_fit_comb_err, sum_d_abcd, sum_d_abcd_err, sum_d, sum_d_err, sum_d_ratio, sum_d_ratio_err);
printf(" %.2f +- %.2f | %.2f +- %.2f | %.2f +- %.2f | %.2f | - |\n", sum_d_abcd, sum_d_abcd_err, sum_d, sum_d_err, sum_d_ratio, sum_d_ratio_err, sum_d_pull);
}
} else if (iMethod==2&&samples[0].size()) {
double comb_d_ratio = comb_d_abcd / comb_d;
double comb_d_ratio_err = sqrt((comb_d_err/comb_d)*(comb_d_err/comb_d) + (comb_d_abcd_err/comb_d_abcd)*(comb_d_abcd_err/comb_d_abcd))*comb_d_ratio;
double comb_d_pull = (comb_d_abcd-comb_d)/sqrt(comb_d_abcd_err*comb_d_abcd_err + comb_d_err*comb_d_err);
if (latex) {
printf("\\hline\n");
printf("\\hline\n");
printf("Combined Bkg. & & & & $%.2f \\pm %.2f$ & $%.2f \\pm %.2f$ & $%.2f \\pm %.2f$ & %.2f & \\\\\n", comb_d_abcd, comb_d_abcd_err, comb_d, comb_d_err, comb_d_ratio, comb_d_ratio_err, comb_d_pull);
printf("\\hline\n");
} else {
printf("| Combined Bkg.| | | | %.2f +- %.2f | %.2f +- %.2f | %.2f +- %.2f | %.2f | - |\n", comb_d_abcd, comb_d_abcd_err, comb_d, comb_d_err, comb_d_ratio, comb_d_ratio_err, comb_d_pull);
}
}
}
if (latex) {
printf("\\hline\n");
printf("\\end{tabular}\n");
printf("\\end{center}\n");
printf("\\end{table*}\n");
}
if (save) gApplication->Terminate();
}
void DrawTwoInPad(TVirtualPad* p,
Int_t sub,
TH1* h1,
TH1* h2,
Bool_t ratio,
Bool_t logy=false,
Bool_t legend=false)
{
TVirtualPad* pp = p->cd(sub);
pp->SetRightMargin(0.02);
pp->SetLeftMargin(0.10);
TVirtualPad* ppp = pp;
if (ratio) {
pp->Divide(1,2,0,0);
ppp = pp->cd(1);
ppp->SetRightMargin(0.02);
}
if (logy) ppp->SetLogy();
TH1* hs[] = { h1, h2, 0 };
if (h1->GetMaximum() < h2->GetMaximum()) {
hs[0] = h2;
hs[1] = h1;
}
TH1** ph = hs;
Double_t size = (ratio ? 0.1 : 0.05);
Double_t off = (ratio ? 0.6 : 0.5);
h1->SetFillStyle(3004);
h2->SetFillStyle(3005);
while (*ph) {
TString opt("hist");
if (ph != hs) opt.Append(" same");
TH1* copy = (*ph)->DrawCopy(opt);
copy->GetXaxis()->SetLabelSize(2*size);
copy->GetYaxis()->SetLabelSize(size);
copy->GetYaxis()->SetTitleSize(size);
copy->GetYaxis()->SetTitleOffset(off);
copy->SetYTitle(copy->GetTitle());
copy->SetTitle("");
copy->SetDirectory(0);
ph++;
}
TString s1 = h1->GetYaxis()->GetTitle();
TString s2 = h2->GetYaxis()->GetTitle();
if (legend) {
TLegend* l = new TLegend(0.6, 0.1, 0.9, 0.9);
l->SetBorderSize(0);
TLegendEntry* e = l->AddEntry("dummy", s1, "lf");
l->SetFillColor(kWhite);
e->SetFillColor(kBlack);
e->SetFillStyle(h1->GetFillStyle());
e = l->AddEntry("dummy", s2, "lf");
e->SetFillColor(kBlack);
e->SetFillStyle(h2->GetFillStyle());
l->Draw();
}
if (!ratio) return;
ppp = pp->cd(2);
ppp->SetRightMargin(0.02);
TH1* r = static_cast<TH1*>(h1->Clone(Form("ratio%s", h1->GetName())));
r->SetDirectory(0);
r->SetTitle("");
r->GetXaxis()->SetLabelSize(size);
r->GetYaxis()->SetLabelSize(size);
r->GetYaxis()->SetTitleSize(0.9*size);
r->GetYaxis()->SetTitleOffset(0.9*off);
r->SetMarkerStyle(20);
r->SetMarkerColor(h1->GetFillColor()+1);
r->SetFillStyle(3007);
r->SetYTitle(Form("#frac{%s}{%s}", s1.Data(), s2.Data()));
// r->Add(h2, -1);
// r->Divide(h1);
if (!r->IsA()->InheritsFrom(TProfile::Class())) {
r->GetSumw2()->Set(0); // r->Sumw2(false);
h2->GetSumw2()->Set(0); // h2->Sumw2(false);
}
r->Divide(h2);
Printf("%s", r->GetName());
for (UShort_t bin = 1; bin <= r->GetNbinsX(); bin++) {
Printf(" bin # %2d: Diff=%g+/-%g", bin, r->GetBinContent(bin),
r->GetBinError(bin));
r->SetBinError(bin, 0);
}
r->GetSumw2()->Set(0); //r->Sumw2(false);
r->SetMarkerSize(4);
r->SetMaximum(r->GetMaximum()*1.2);
r->SetMinimum(r->GetMinimum()*0.8);
r->Draw("hist text30");
p->Modified();
p->Update();
p->cd();
}