TCanvas* pHitSpecPos( )
{
TCanvas* c = new TCanvas("cHitSpecPos","cHitSpecPos",1000,1100);
c->Divide(2,2);
TVirtualPad* p; TH2D *h;
TText t; t.SetTextColor(4);
p =c->cd(1); p->SetLogy(); p->SetGrid(1,0);
h = (TH2D*)gROOT->FindObject("hHitSpec_PtVsPhi_BarMinus");
h->GetYaxis()->SetRange(4,33);
h->DrawCopy("box");
t.DrawTextNDC(0.17,0.15, "BARREL MU MINUS");
p =c->cd(2); p->SetLogy(); p->SetGrid(1,0);
h = (TH2D*)gROOT->FindObject("hHitSpec_PtVsPhi_BarPlus");
h->GetYaxis()->SetRange(4,32);
h->DrawCopy("box");
t.DrawTextNDC(0.17,0.15, "BARREL MU PLUS");
p =c->cd(3); p->SetLogy(); p->SetGrid(1,0);
h = (TH2D*)gROOT->FindObject("hHitSpec_PtVsPhi_EndMinus");
h->GetYaxis()->SetRange(4,32);
h->DrawCopy("box");
t.DrawTextNDC(0.17,0.15, "ENDCAP MU MINUS");
p =c->cd(4); p->SetLogy(); p->SetGrid(1,0);
h = (TH2D*)gROOT->FindObject("hHitSpec_PtVsPhi_EndPlus");
h->GetYaxis()->SetRange(4,32);
h->DrawCopy("box");
t.DrawTextNDC(0.17,0.15, "ENDCAP MU PLUS");
return c;
}
void plotTrk() {
gStyle->SetOptStat(0);
gStyle->SetOptTitle(1);
char c[50];
c1->Clear();
c1->Divide(2,3);
for(int hid=0; hid<6; hid++){
TVirtualPad* pad = c1->cd(hid+1);
pad->SetLogy(lTrkHist[hid]);
double xmin, xmax, ymin=0.0, ymax=0.0;
if(lTrkHist[hid]==1) ymin=0.1;
for(int quad=0; quad<kFgtNumQuads; quad++){
sprintf(c,"Quad%1s-%s",cquad[quad],cTrkHist[hid]);
//printf("Getting %s\n",c);
TH1F *h = histTrk[quad][hid] = (TH1F*)file->Get(c);
xmin=h->GetXaxis()->GetXmin();
xmax=h->GetXaxis()->GetXmax();
double m=h->GetMaximum();
if(ymax<m) ymax=m;
//printf("quad=%d max=%6.1f ymax=%6.1f xmin=%6.1f xmax=%6.1f\n",quad,m,ymax,xmin,xmax);
}
ymax*=1.2; if(lTrkHist[hid]==1){ymax*=20.0;}
sprintf(c,"%s",cTrkHist[hid]);
TH2F *frame = new TH2F(c,c,1,xmin,xmax,1,ymin,ymax); frame->SetStats(0); frame->Draw();
for(int quad=0; quad<kFgtNumQuads; quad++){
TH1F *h=histTrk[quad][hid];
h->SetLineColor(colorQuad[quad]); h->SetLineWidth(3);
if(hid<5){
h->Draw("SAME");
float mean=h->GetMean();
if(hid==1 || hid==4) {sprintf(c,"%s mean=%6.4f",cquad[quad],mean);}
else {sprintf(c,"%s mean=%6.2f",cquad[quad],mean);}
}else{
h->SetMarkerColor(colorQuad[quad]); h->SetMarkerStyle(20); h->SetMarkerSize(1);
h->Draw("SAME PL");
sprintf(c,"Quad%s",cquad[quad]);
}
TText *t1;
float x1= 0.2, x2= 0.55;
float y1=0.8 - 0.07*quad;
float y2=0.8 - 0.07*(quad-2);
if(quad<2) { t1 = new TText(x1,y1,c); }
else { t1 = new TText(x2,y2,c); }
t1->SetNDC();
t1->SetTextSize(0.06);
t1->SetTextColor(colorQuad[quad]);
t1->Draw();
}
}
c1->Update();
save("trk");
}
//#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);
}
/* *********** multi-pad canvases ******************** */
void setLogy(TCanvas *c, bool on = true) {
c->Modified();
c->Update();
//gSystem->ProcessEvents();
TObject *obj;
TIter next(c->GetListOfPrimitives());
while ((obj = next())) {
if (obj->InheritsFrom(TVirtualPad::Class())) {
TVirtualPad *pad = (TVirtualPad*)obj;
pad->Modified();
pad->Update();
pad->SetLogy(on);
pad->Modified();
pad->Update();
}
}
}
void
TestSPD(const TString& which, Double_t nVar=2)
{
TFile* file = TFile::Open("forward.root", "READ");
if (!file) return;
Bool_t spd = which.EqualTo("spd", TString::kIgnoreCase);
TList* l = 0;
if (spd) l = static_cast<TList*>(file->Get("CentralSums"));
else l = static_cast<TList*>(file->Get("ForwardSums"));
if (!l) {
Warning("", "%sSums not found", spd ? "Central" : "Forward");
return;
}
TList* ei = static_cast<TList*>(l->FindObject("fmdEventInspector"));
if (!l) {
Warning("", "fmdEventInspector not found");
return;
}
TObject* run = ei->FindObject("runNo");
if (!run)
Warning("", "No run number found");
ULong_t runNo = run ? run->GetUniqueID() : 0;
TH2* h = 0;
if (spd) h = static_cast<TH2*>(l->FindObject("nClusterVsnTracklet"));
else {
TList* den = static_cast<TList*>(l->FindObject("fmdDensityCalculator"));
if (!den) {
Error("", "fmdDensityCalculator not found");
return;
}
TList* rng = static_cast<TList*>(den->FindObject(which));
if (!rng) {
Error("", "%s not found", which.Data());
return;
}
h = static_cast<TH2*>(rng->FindObject("elossVsPoisson"));
}
if (!h) {
Warning("", "%s not found", spd ? nClusterVsnTracklet : "elossVsPoisson");
return;
}
gStyle->SetOptFit(1111);
gStyle->SetOptStat(0);
TCanvas* c = new TCanvas("c", Form("Run %u", runNo));
c->Divide(2,2);
TVirtualPad* p = c->cd(1);
if (spd) {
p->SetLogx();
p->SetLogy();
}
p->SetLogz();
h->Draw("colz");
TObjArray* fits = new TObjArray;
h->FitSlicesY(0, 1, -1, 0, "QN", fits);
TF1* mean = new TF1("mean", "pol1");
TF1* var = new TF1("var", "pol1");
// mean->FixParameter(0, 0);
// var->FixParameter(0, 0);
for (Int_t i = 0; i < 3; i++) {
p = c->cd(2+i);
if (spd) {
p->SetLogx();
p->SetLogy();
}
TH1* hh = static_cast<TH1*>(fits->At(i));
hh->Draw();
if (i == 0) continue;
hh->Fit((i == 1? mean : var), "+Q");
}
TGraphErrors* g1 = new TGraphErrors(h->GetNbinsX());
g1->SetFillColor(kBlue-10);
g1->SetFillStyle(3001);
g1->SetLineStyle(1);
TGraph* u1 = new TGraph(h->GetNbinsX());
TGraph* l1 = new TGraph(h->GetNbinsX());
u1->SetLineColor(kBlue+1);
l1->SetLineColor(kBlue+1);
u1->SetName("u1");
l1->SetName("l1");
TGraphErrors* g2 = new TGraphErrors(h->GetNbinsX());
g2->SetFillColor(kRed-10);
g2->SetFillStyle(3001);
g2->SetLineStyle(2);
TGraph* u2 = new TGraph(h->GetNbinsX());
TGraph* l2 = new TGraph(h->GetNbinsX());
u2->SetLineColor(kRed+1);
l2->SetLineColor(kRed+1);
u2->SetName("u2");
l2->SetName("l2");
for (Int_t i = 1; i <= h->GetNbinsX(); i++) {
Double_t x = hh->GetXaxis()->GetBinCenter(i);
Double_t y = mean->Eval(x);
Double_t e = var->Eval(y);
Double_t e1 = nVar * e;
if (spd) e1 *= TMath::Log10(e);
// Printf("%10e -> %10e +/- %10e", x, y, ee);
g1->SetPoint(i-1, x, y);
g1->SetPointError(i-1, 0, e1);
u1->SetPoint(i-1, x, y+e1);
l1->SetPoint(i-1, x, y-e1);
// Printf("%3d: %f -> %f +/- %f", i, x, y, ee);
Double_t e2 = nVar*0.05*x;
g2->SetPoint(i-1, x, x);
g2->SetPointError(i-1, 0, e2);
u2->SetPoint(i-1, x, x+e2);
l2->SetPoint(i-1, x, x-e2);
}
p = c->cd(1);
c->Clear();
c->cd();
c->SetLogz();
h->Draw("colz");
g1->Draw("3 same");
u1->Draw("l same");
l1->Draw("l same");
g2->Draw("3 same");
u2->Draw("l same");
l2->Draw("l same");
Double_t ly = 0.9;
Double_t dy = 0.06;
TLatex* ltx = new TLatex(0.15, ly, Form("#LTy#GT = %f + %f x",
mean->GetParameter(0),
mean->GetParameter(1)));
ltx->SetNDC();
ltx->SetTextSize(dy);
ltx->SetTextAlign(13);
ltx->Draw();
ly -= dy + 0.01;
ltx->DrawLatex(0.15, ly, Form("#sigma_{y} = %f + %f x",
var->GetParameter(0),
var->GetParameter(1)));
ly -= dy + 0.01;
ltx->DrawLatex(0.15, ly, Form("#delta = %f #sigma %s",
nVar, (spd ? "log_{10}(#sigma" : "")));
}
/**
*
*
* @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");
}
void mc2ibd_gtDiff(TChain *tMC, TFile *fBgnd, TCanvas *cv, const char *pdfname)
{
char str[1024];
TLatex *txt = new TLatex();
TVirtualPad *pd;
TH1D *hExp = (TH1D *) fBgnd->Get("hgtDiffA-diff");
if (!hExp) {
printf("Histogram hgtDiffA-diff not found in %s\n", fBgnd->GetName());
return;
}
hExp->SetTitle("Time between prompt and delayed events (IBD);us;Events/us");
hExp->SetLineColor(kBlack);
hExp->SetMinimum(0);
gROOT->cd();
TH1D *hMC = new TH1D("hgtDiffMC", "Time between prompt and delayed events (MC);us;Events/us", 50, 0, 50);
hMC->SetLineColor(kBlack);
tMC->Project(hMC->GetName(), "gtDiff", cX && cY && cZ && cR && cGamma && cGammaMax && cPe && cN);
hMC->Sumw2();
hMC->Scale(hExp->Integral(2,50) / hMC->Integral(2,50));
// Exp vs MC
cv->Clear();
cv->Divide(1, 2);
cv->cd(1);
hExp->SetLineColor(kBlack);
hExp->SetLineWidth(3);
hMC->SetLineColor(kBlue);
hMC->SetLineWidth(1);
hExp->Draw();
hMC->Draw("hist,same");
TLegend *lg = new TLegend(0.15, 0.2, 0.4, 0.35);
lg->AddEntry(hExp, "IBD", "LE");
lg->AddEntry(hMC, "MC", "L");
lg->Draw();
pd = cv->cd(2);
hExp->SetMinimum(2000);
hExp->Draw();
hMC->Draw("hist,same");
lg->Draw();
pd->SetLogy(1);
cv->Update();
cv->SaveAs(pdfname);
hExp->SetMinimum(0);
hExp->SetLineWidth(1);
hMC->SetLineColor(kBlack);
// Fits
TF1 *f2Exp = new TF1("f2Exp", "[0]*(exp(-x/[1]) - exp(-x/[2]))", 0, 100);
f2Exp->SetParNames("Const.", "#tau_{capt}", "#tau_{th}");
f2Exp->SetLineColor(kBlue);
TF1 *fExp = new TF1("fExp", "expo", 0, 100);
fExp->SetLineColor(kRed);
cv->Clear();
cv->Divide(1, 2);
cv->cd(1);
f2Exp->SetParameters(hExp->GetMaximum(), 13, 5);
hExp->Fit(f2Exp, "", "", 1, 50);
hExp->Fit(fExp, "+", "", 15, 50);
lg = new TLegend(0.15, 0.2, 0.4, 0.35);
lg->AddEntry(hExp, "Data", "LE");
lg->AddEntry(f2Exp, "Fit with two exponents", "L");
lg->AddEntry(fExp, "Capture exponent fit", "L");
lg->Draw();
sprintf(str, "#tau_{capt}=%5.2f us", -1/fExp->GetParameter(1));
txt->DrawLatex(20, hExp->GetMaximum()/5, str);
sprintf(str, "#chi^{2}/NDF=%6.1f/34", fExp->GetChisquare());
txt->DrawLatex(20, hExp->GetMaximum()/10, str);
cv->cd(2);
f2Exp->SetParameters(hMC->GetMaximum(), 13, 5);
hMC->Fit(f2Exp, "", "", 1, 50);
hMC->Fit(fExp, "+", "", 15, 50);
lg->Draw();
sprintf(str, "#tau_{capt}=%5.2f us", -1/fExp->GetParameter(1));
txt->DrawLatex(20, hMC->GetMaximum()/5, str);
sprintf(str, "#chi^{2}/NDF=%6.1f/34", fExp->GetChisquare());
txt->DrawLatex(20, hMC->GetMaximum()/10, str);
cv->SaveAs(pdfname);
// Tha same in log scale
hExp->SetMinimum(2000);
cv->Clear();
cv->Divide(1, 2);
pd = cv->cd(1);
hExp->Draw();
lg->Draw();
pd->SetLogy(1);
pd = cv->cd(2);
hMC->Draw();
lg->Draw();
pd->SetLogy(1);
cv->Update();
}
void compareNtuples(TString file1, TString file2, bool doNotSaveSameHistos="true", bool drawWithErrors="true",
double ksMinThreshold = 0.001) {
//TDirectory *rootdir = gDirectory->GetDirectory("Rint:");
TFile *f1 = TFile::Open(file1.Data(), "READ");
if(f1 == NULL) {
cout << "Exiting" << endl;
return;
}
TTree *tree1 = (TTree*)f1->Get("Events");
if(tree1 == NULL) {
cout << "Can't find the tree \"Events\" in " << file1 << " Exiting " << endl;
return;
}
TFile *f2 = TFile::Open(file2.Data(), "READ");
if(f2 == NULL) {
cout << "Exiting" << endl;
return;
}
TTree *tree2 = (TTree*)f2->Get("Events");
if(tree2 == NULL) {
cout << "Can't find the tree \"Events\" in " << file2 << " Exiting " << endl;
return;
}
TObjArray *objArray= file1.Tokenize("/");
TString fname1 = "";
TString fname2 = "";
for(int i = 0; i < objArray->GetSize(); i++) {
if(fname1 != "")
continue;
cout << TString(objArray->At(i)->GetName()) << endl;
if(TString(objArray->At(i)->GetName()).Contains("root")) {
fname1 = TString(objArray->At(i)->GetName());
continue;
}
}
objArray = file2.Tokenize("/");
for(int i = 0; i < objArray->GetSize(); i++) {
if(fname2 != "")
continue;
cout << TString(objArray->At(i)->GetName()) << endl;
if(TString(objArray->At(i)->GetName()).Contains("root")) {
fname2 = TString(objArray->At(i)->GetName());
continue;
}
}
vector<TString> t1_aliasnames = getAliasNames(tree1);
vector<TString> t2_aliasnames = getAliasNames(tree2);
vector<TString> v_commonBranches;
vector<TString> v1_notCommonBranches;
vector<TString> v2_notCommonBranches;
for(vector<TString>::iterator it = t1_aliasnames.begin();
it != t1_aliasnames.end(); it++) {
if(find(t2_aliasnames.begin(), t2_aliasnames.end(), *it) != t2_aliasnames.end())
v_commonBranches.push_back(*it);
}
//figure out which branches are not common so you can output their names
//and draw them last
v1_notCommonBranches = getUncommonBranches(t1_aliasnames, v_commonBranches);
v2_notCommonBranches = getUncommonBranches(t2_aliasnames, v_commonBranches);
TCanvas *c1 = new TCanvas();
for(unsigned int i = 0; i < v1_notCommonBranches.size(); i++) {
TString alias = v1_notCommonBranches.at(i);
cout << "Branch: " << alias << " was found in "
<< file1 << " but not in " << file2 << endl;
TString histname = "h1_"+(alias);
TString command = (alias) + ">>" + histname;
TBranch *branch = tree1->GetBranch(tree1->GetAlias(alias));
TString branchname(branch->GetName());
if( branchname.Contains("LorentzVector") ) {
histname = "h1_"+ alias + "_pt";
command = alias + ".Pt()>>" + histname;
}
tree1->Draw(command.Data());
TH1F *h1 = (TH1F*)gDirectory->Get(histname.Data());
if(h1==NULL) {
cout << "********** Branch " << v1_notCommonBranches.at(i)
<< " in file " << file1 << "exists, but is undrawable for some reason. "
<< "Skipping this branch" << endl;
c1->Clear();
continue;
}
c1->Clear();
if(drawWithErrors)
h1->TH1F::Sumw2();
h1->Scale(1./h1->GetEntries());
if(!drawWithErrors) {
h1->SetLineColor(0);
h1->SetMarkerSize(1.1);
h1->SetMarkerStyle(3);
} else {
h1->SetMarkerSize(1.3);
h1->SetMarkerStyle(3);
}
TString histtitle = alias + ", " + fname1;
h1->SetTitle(histtitle.Data());
h1->Draw();
c1->SaveAs("diff.ps(");
c1->SetLogy();
//if the canvas has been divided, want to set the logy
for(int ii = 0; ii < c1->GetListOfPrimitives()->GetSize(); ii++) {
if(string(c1->GetListOfPrimitives()->At(ii)->ClassName()) != "TVirtualPad")
continue;
TVirtualPad *vPad = (TVirtualPad*)(c1->GetListOfPrimitives()->At(ii));
if(vPad != NULL) {
vPad->SetLogy();
}
}
c1->SaveAs("diff.ps(");
c1->SetLogy(0);
}
for(unsigned int i = 0; i < v2_notCommonBranches.size(); i++) {
TString alias = v2_notCommonBranches.at(i);
cout << "Branch: " << alias << " was found in "
<< file1 << " but not in " << file2 << endl;
TString histname = "h2_"+(alias);
TString command = (alias) + ">>" + histname;
TBranch *branch = tree2->GetBranch(tree2->GetAlias(alias));
TString branchname(branch->GetName());
if( branchname.Contains("LorentzVector") ) {
histname = "h2_"+ alias + "_pt";
command = alias + ".Pt()>>" + histname;
}
tree2->Draw(command.Data());
TH1F *h2 = (TH1F*)gDirectory->Get(histname.Data());
if(h2==NULL) {
cout << "********** Branch " << v2_notCommonBranches.at(i)
<< " in file " << file2 << "exists, but is undrawable for some reason. "
<< "Skipping this branch" << endl;
c1->Clear();
continue;
}
c1->Clear();
if(drawWithErrors)
h2->TH1F::Sumw2();
h2->Scale(1./h2->GetEntries());
if(!drawWithErrors) {
h2->SetLineColor(kRed);
h2->SetLineStyle(7);
} else {
h2->SetMarkerSize(1.1);
h2->SetMarkerStyle(8);
h2->SetMarkerColor(kRed);
}
TString histtitle = alias + ", " + fname2;
h2->SetTitle(histtitle.Data());
h2->Draw();
c1->SaveAs("diff.ps(");
c1->SetLogy();
//if the canvas has been divided, want to set the logy
for(int ii = 0; ii < c1->GetListOfPrimitives()->GetSize(); ii++) {
if(string(c1->GetListOfPrimitives()->At(ii)->ClassName()) != "TVirtualPad")
continue;
TVirtualPad *vPad = (TVirtualPad*)c1->GetListOfPrimitives()->At(ii);
if(vPad != NULL)
vPad->SetLogy();
}
c1->SaveAs("diff.ps(");
c1->SetLogy(0);
}
for(unsigned int i = 0; i < v_commonBranches.size(); i++) {
TString alias = v_commonBranches.at(i);
cout << "Comparing Branch: " << alias << endl;
TString hist1name = "h1_"+ alias;
TString hist2name = "h2_"+ alias;
TString command1 = (alias)+"+9990.*((abs("+alias +"+9999)<1)*1.)>>"+hist1name;
TString command2 = (alias)+"+9990.*((abs("+alias +"+9999)<1)*1.)>>"+hist2name;
TBranch *branch = tree2->GetBranch(tree2->GetAlias(alias));
TString branchname(branch->GetName());
if(branchname.Contains("p4") ) {
hist1name = "h1_"+ alias + "_Pt";
hist2name = "h2_"+ alias + "_Pt";
command1 = alias + ".pt()+14130.*((abs("+alias+".pt()-14140.7)<1)*1.)>>"+hist1name;
command2 = alias + ".pt()+14130.*((abs("+alias+".pt()-14140.7)<1)*1.)>>"+hist2name;
}
tree1->Draw(command1.Data());
//TH1F *h1 = (TH1F*)c1->GetPrimitive(hist1name.Data());
TH1F *h1 = (TH1F*)gDirectory->Get(hist1name.Data());
if(h1==NULL) {
cout << "********** Branch " << v_commonBranches.at(i)
<< " in file " << file1 << " exists, but is undrawable for some reason. "
<< "Skipping this branch" << endl;
c1->Clear();
continue;
}
//set the Overflow at the last bin
tree2->Draw(command2.Data());
//TH1F *h2 = (TH1F*)c1->GetPrimitive(hist2name.Data());
TH1F *h2 = (TH1F*)gDirectory->Get(hist2name.Data());
if(h2==NULL) {
cout << "********** Branch " << v_commonBranches.at(i)
<< " in file " << file2 << "exists, but is undrawable for some reason. "
<< "Skipping this branch" << endl;
c1->Clear();
continue;
}
c1->Clear();
bool histos_theSame = areHistosTheSame(h1, h2);
if(histos_theSame && doNotSaveSameHistos)
continue;
if (! histos_theSame){
double min1 = h1->GetXaxis()->GetXmin();
double min2 = h2->GetXaxis()->GetXmin();
double max1 = h1->GetXaxis()->GetXmax();
double max2 = h2->GetXaxis()->GetXmax();
double hmin = min1 > min2 ? min2 : min1;
double hmax = max1 > max2 ? max1 : max2;
command1 += Form("_fix(100,%f,%f)", hmin, hmax);
command2 += Form("_fix(100,%f,%f)", hmin, hmax);
hist1name += "_fix";
hist2name += "_fix";
tree1->Draw(command1.Data());
tree2->Draw(command2.Data());
h1 = (TH1F*)gDirectory->Get(hist1name.Data());
h2 = (TH1F*)gDirectory->Get(hist2name.Data());
}
if(drawWithErrors) {
h1->TH1F::Sumw2();
h2->TH1F::Sumw2();
}
h1->Scale(1./h1->GetEntries());
h2->Scale(1./h2->GetEntries());
double bDiff = 0;
unsigned int nX1 = h1->GetNbinsX();
for(unsigned int iB=0; iB<=nX1+1; ++iB){
if(h1->GetBinError(iB)==0 && h1->GetBinContent(iB)!=0) h1->SetBinError(iB,1e-3*fabs(h1->GetBinContent(iB)));
if(h2->GetBinError(iB)==0 && h2->GetBinContent(iB)!=0) h2->SetBinError(iB,1e-3*fabs(h2->GetBinContent(iB)));
bDiff +=fabs(h1->GetBinContent(iB) - h2->GetBinContent(iB));
}
double ksProb = 0;
if (bDiff == 0) ksProb = 1;
else ksProb = h1->KolmogorovTest(h2);
if (bDiff ==0 || ksProb > ksMinThreshold ) continue;
if(h1->GetNbinsX() != h2->GetNbinsX() ) {
cout << "Branch " << v_commonBranches.at(i) << " not the same between the 2 files"
<< ". They will be drawn side by side" << endl;
c1->Divide(2,1);
h2->SetTitle(fname2);
h1->SetTitle(fname1);
if(!drawWithErrors) {
h1->SetLineColor(0);
h1->SetMarkerSize(1.1);
h1->SetMarkerStyle(3);
h2->SetLineColor(kRed);
h2->SetLineStyle(7);
c1->cd(1);
h1->Draw();
c1->cd(2);
h2->Draw();
} else {
h1->SetMarkerSize(1.3);
h1->SetMarkerStyle(3);
h2->SetMarkerSize(1.1);
h2->SetMarkerStyle(8);
h2->SetMarkerColor(kRed);
c1->cd(1);
h1->Draw("e");
c1->cd(2);
h2->Draw("e");
}
TPaveText ksPt(0,0, 0.35, 0.05, "NDC");
ksPt.AddText(Form("P(KS)=%g, diffBins=%g, eblk %g ered %g",ksProb, bDiff, h1->GetEntries(), h2->GetEntries()));
ksPt.Draw();
if(i < v_commonBranches.size() - 1) {
c1->SaveAs("diff.ps(");
c1->SetLogy();
//if the canvas has been divided, want to set the logy
for(int ii = 0; ii < c1->GetListOfPrimitives()->GetSize(); ii++) {
if(string(c1->GetListOfPrimitives()->At(ii)->ClassName()) != "TVirtualPad")
continue;
TVirtualPad *vPad = (TVirtualPad*)c1->GetListOfPrimitives()->At(ii);
if(vPad != NULL)
vPad->SetLogy();
}
c1->SaveAs("diff.ps(");
c1->SetLogy(0);
} else {
cout << "done" << endl;
c1->SaveAs("diff.ps(");
c1->SetLogy();
for(int ii = 0; ii < c1->GetListOfPrimitives()->GetSize(); ii++) {
if(string(c1->GetListOfPrimitives()->At(ii)->ClassName()) != "TVirtualPad")
continue;
TVirtualPad *vPad = (TVirtualPad*)c1->GetListOfPrimitives()->At(ii);
if(vPad != NULL)
vPad->SetLogy();
}
c1->SaveAs("diff.ps)");
c1->SetLogy(0);
}
continue;
}
if(h1->GetMaximum() >= h2->GetMaximum()) {
double max = 1.1*h1->GetMaximum();
h1->SetMaximum(max);
h2->SetMaximum(max);
if(!drawWithErrors) {
h1->SetLineColor(0);
h1->SetMarkerSize(1.1);
h1->SetMarkerStyle(3);
h2->SetLineColor(kRed);
h2->SetLineStyle(7);
h2->Draw();
h1->Draw("samesh*");
} else {
h1->SetMarkerSize(1.3);
h1->SetMarkerStyle(3);
h2->SetMarkerSize(1.1);
h2->SetMarkerStyle(8);
h2->SetMarkerColor(kRed);
h2->Draw("e");
h1->Draw("samese");
}
} else {
double max = 1.1*h2->GetMaximum();
h1->SetMaximum(max);
h2->SetMaximum(max);
if(!drawWithErrors) {
h1->SetLineColor(0);
h1->SetMarkerSize(1.1);
h1->SetMarkerStyle(3);
h2->SetLineColor(kRed);
h2->SetLineStyle(7);
TString histtitle = fname1+" (black) " + fname2 + " (red)";
h2->SetTitle(histtitle.Data());
h1->SetTitle(histtitle.Data());
h1->Draw();
h2->Draw("samesh*");
} else {
h1->SetMarkerSize(1.3);
h1->SetMarkerStyle(3);
h2->SetMarkerSize(1.1);
h2->SetMarkerStyle(8);
h2->SetMarkerColor(kRed);
TString histtitle = fname1+" (black) " + fname2 + " (red)";
h2->SetTitle(histtitle.Data());
h1->SetTitle(histtitle.Data());
h1->Draw("e");
h2->Draw("samese");
}
}
TPaveText ksPt(0,0, 0.35, 0.05, "NDC");
ksPt.AddText(Form("P(KS)=%g, diffBins=%g, eblk %g ered %g",ksProb, bDiff, h1->GetEntries(), h2->GetEntries()));
ksPt.Draw();
if(i < v_commonBranches.size() - 1) {
c1->SaveAs("diff.ps(");
c1->SetLogy();
//if the canvas has been divided, want to set the logy
for(int ii = 0; ii < c1->GetListOfPrimitives()->GetSize(); ii++) {
if(string(c1->GetListOfPrimitives()->At(ii)->ClassName()) != "TVirtualPad")
continue;
TVirtualPad *vPad = (TVirtualPad*)c1->GetListOfPrimitives()->At(ii);
if(vPad != NULL)
vPad->SetLogy();
}
c1->SaveAs("diff.ps(");
c1->SetLogy(0);
} else {
cout << "done" << endl;
c1->SaveAs("diff.ps(");
c1->SetLogy();
for(int ii = 0; ii < c1->GetListOfPrimitives()->GetSize(); ii++) {
if(string(c1->GetListOfPrimitives()->At(ii)->ClassName()) != "TVirtualPad")
continue;
TVirtualPad *vPad = (TVirtualPad*)c1->GetListOfPrimitives()->At(ii);
if(vPad != NULL)
vPad->SetLogy();
}
c1->SaveAs("diff.ps)");
c1->SetLogy(0);
}
}//for loop
//c1->SaveAs("diff.ps)");
}
void validation()
{
msglvl[DBG] = SILENT;
msglvl[INF] = VISUAL;
msglvl[WRN] = VISUAL;
msglvl[ERR] = VISUAL;
msglvl[FAT] = VISUAL;
TDirectory* oldDir = gDirectory; // remember old directory
style();
Int_t g4bin = (ng4bins/g4max+1); //==> g^4=1 ==> SSM !
TString suffix = "";
if(doTruth) suffix = "_truth";
TString mctype = (isMC11c) ? "mc11c" : "mc11a";
// TString fBGname = "plots/ZP_2dtemplates_"+mctype+"_33st_overallEWkF_noInAmpSigEWkF_noHighMbins_wthOfficialZP_Xmass2000.root";
// TString fBGname = "plots/ZP_2dtemplates_"+mctype+"_33st_noKKtmplates_overallEWkF_noInAmpSigEWkF_noTruth_wthOfficialZP_treeLevelMass_Xmass2000.root";
// TString fBGname = "plots/ZP_2dtemplates_"+mctype+"_33st_noKKtmplates_overallEWkF_noInAmpSigEWkF_wthOfficialZP_treeLevelMass_Xmass2000.root";
// TString fBGname = "plots/ZP_2dtemplates_mc11c_33st_noKKtmplates_overallEWkF_noInAmpSigEWkF_wthOfficialZP_fixedBWwidth_treeLevelMass_Xmass2000.root";
// TString fBGname = "plots/ZP_2dtemplates_mc11c_33st_noKKtmplates_overallEWkF_noInAmpSigEWkF_noTruth_wthOfficialZP_treeLevelMass_Xmass2000.root";
// TString fBGname = "plots/ZP_2dtemplates_"+mctype+"_33st_noKKtmplates_overallEWkF_noInAmpSigEWkF_noTruth_wthOfficialZP_treeLevelMass_Xmass2000.root";
// TString fBGname = "plots/ZP_2dtemplates_"+mctype+"_33st_noKKtmplates_overallEWkF_noInAmpSigEWkF_noTruth_wthOfficialZP_fixedBWwidth_treeLevelMass_Xmass2000.root";
TLegend* legR = new TLegend(0.15,0.75,0.35,0.85,NULL,"brNDC");
legR->SetFillStyle(4000); //will be transparent
legR->SetFillColor(0);
legR->SetTextFont(42);
TH1D* hDummy = new TH1D("","",1,0.,1.);
hDummy->SetMarkerStyle(20);
hDummy->SetMarkerSize(0.8);
hDummy->SetMarkerColor(kBlack);
if(!doResiduals) legR->AddEntry(hDummy,"#frac{template}{official}","lep");
else legR->AddEntry(hDummy,"#frac{template - official}{#sqrt{#delta^{2}template + #delta^{2}official}}","lep");
TPaveText* ptxt = new TPaveText(0.145,0.35,0.245,0.55,"NDC");
TText* txt;
ptxt->SetTextSize(0.03);
ptxt->SetBorderSize(0);
ptxt->SetFillStyle(4000); //will be transparent
ptxt->SetFillColor(0);
ptxt->SetTextAlign(12);
txt = ptxt->AddText("This range");
txt = ptxt->AddText("is chopped");
txt = ptxt->AddText("before the");
txt = ptxt->AddText("template is");
txt = ptxt->AddText("handed to");
txt = ptxt->AddText("BAT (limit).");
oldDir->cd();
TString fBGname = "plots/validation/ZP_2dtemplates_mc11c_33st_noKKtmplates_wthOfficialZP_treeLevelMass_Xmass2000.root";
TFile* fD = new TFile(fBGname,"READ");
TH1D* hDY = NULL;
if(doTruth) hDY = (TH1D*)fD->Get("hMass_DYmumu_truth")->Clone();
else hDY = (TH1D*)fD->Get("hMass_DYmumu")->Clone();
hDY->SetLineColor(kMagenta-5);
hDY->SetMarkerColor(kMagenta-5);
oldDir->cd();
TFile* fDYrozmin = new TFile("plots/mass_plot_tables_3st.root","READ");
TH1D* hDYrozmin = (TH1D*)fDYrozmin->Get("mass_log_dy")->Clone();
hDYrozmin = (TH1D*)hGeV2TeV(hDYrozmin)->Clone();
hDYrozmin = (TH1D*)hChopper(hDYrozmin,bins2chop)->Clone();
oldDir->cd();
TFile* f1dTemplates = new TFile("plots/ZpSignal_MM_MC11c_5points.root","READ");
TObjArray* toarr1d = new TObjArray();
toarr1d->Read("template");
TMapTSP2TH1D h1dBrandeisTmpltMap;
double Nflat = 399948;
double sigmaflat = 4.3988E+07*nb2fb;
double Lmcflat = Nflat/sigmaflat;
double scale = luminosity/Lmcflat;
TH1D* h1dTmp = NULL;
h1dTmp = (TH1D*)((TObjArray*)toarr1d->At(0/*22*/))->Clone();
h1dTmp->Scale(scale);
h1dTmp = (TH1D*)hChopper(h1dTmp,bins2chop)->Clone();
h1dTmp->Add(hDYrozmin);
h1dBrandeisTmpltMap.insert( make_pair("1000",(TH1D*)resetErrors(h1dTmp)->Clone("1000")) );
h1dTmp = NULL;
h1dTmp = (TH1D*)((TObjArray*)toarr1d->At(1/*28*/))->Clone();
h1dTmp->Scale(scale);
h1dTmp = (TH1D*)hChopper(h1dTmp,bins2chop)->Clone();
h1dTmp->Add(hDYrozmin);
h1dBrandeisTmpltMap.insert( make_pair("1250",(TH1D*)resetErrors(h1dTmp)->Clone("1250")) );
h1dTmp = NULL;
h1dTmp = (TH1D*)((TObjArray*)toarr1d->At(2/*34*/))->Clone();
h1dTmp->Scale(scale);
h1dTmp = (TH1D*)hChopper(h1dTmp,bins2chop)->Clone();
h1dTmp->Add(hDYrozmin);
h1dBrandeisTmpltMap.insert( make_pair("1500",(TH1D*)resetErrors(h1dTmp)->Clone("1500")) );
h1dTmp = NULL;
h1dTmp = (TH1D*)((TObjArray*)toarr1d->At(3/*40*/))->Clone();
h1dTmp->Scale(scale);
h1dTmp = (TH1D*)hChopper(h1dTmp,bins2chop)->Clone();
h1dTmp->Add(hDYrozmin);
h1dBrandeisTmpltMap.insert( make_pair("1750",(TH1D*)resetErrors(h1dTmp)->Clone("1750")) );
h1dTmp = NULL;
h1dTmp = (TH1D*)((TObjArray*)toarr1d->At(4/*47*/))->Clone();
h1dTmp->Scale(scale);
h1dTmp = (TH1D*)hChopper(h1dTmp,bins2chop)->Clone();
h1dTmp->Add(hDYrozmin);
h1dBrandeisTmpltMap.insert( make_pair("2000",(TH1D*)resetErrors(h1dTmp)->Clone("2000")) );
oldDir->cd();
TMapTSP2TH1D h1Map;
h1Map.insert( make_pair("1000o", (TH1D*)fD->Get("hMass_Zprime_SSM1000"+suffix)->Clone()) );
h1Map.insert( make_pair("1000t", (TH1D*)fD->Get("hMass_Zprime_SSM1000_template"+suffix)->Clone()) );
if(isMC11c)
{
h1Map.insert( make_pair("1250o", (TH1D*)fD->Get("hMass_Zprime_SSM1250"+suffix)->Clone()) );
h1Map.insert( make_pair("1250t", (TH1D*)fD->Get("hMass_Zprime_SSM1250_template"+suffix)->Clone()) );
}
h1Map.insert( make_pair("1500o", (TH1D*)fD->Get("hMass_Zprime_SSM1500"+suffix)->Clone()) );
h1Map.insert( make_pair("1500t", (TH1D*)fD->Get("hMass_Zprime_SSM1500_template"+suffix)->Clone()) );
h1Map.insert( make_pair("1750o", (TH1D*)fD->Get("hMass_Zprime_SSM1750"+suffix)->Clone()) );
h1Map.insert( make_pair("1750t", (TH1D*)fD->Get("hMass_Zprime_SSM1750_template"+suffix)->Clone()) );
h1Map.insert( make_pair("2000o", (TH1D*)fD->Get("hMass_Zprime_SSM2000"+suffix)->Clone()) );
h1Map.insert( make_pair("2000t", (TH1D*)fD->Get("hMass_Zprime_SSM2000_template"+suffix)->Clone()) );
TMapTSP2TH1D h1rMap;
h1rMap.insert( make_pair("1000", (TH1D*)fD->Get("hMass_Zprime_SSM1000"+suffix)->Clone()) );
if(isMC11c) h1rMap.insert( make_pair("1250", (TH1D*)fD->Get("hMass_Zprime_SSM1250"+suffix)->Clone()) );
h1rMap.insert( make_pair("1500", (TH1D*)fD->Get("hMass_Zprime_SSM1500"+suffix)->Clone()) );
h1rMap.insert( make_pair("1750", (TH1D*)fD->Get("hMass_Zprime_SSM1750"+suffix)->Clone()) );
h1rMap.insert( make_pair("2000", (TH1D*)fD->Get("hMass_Zprime_SSM2000"+suffix)->Clone()) );
for(TMapTSP2TH1D::iterator it=h1rMap.begin() ; it!=h1rMap.end() ; ++it)
{
it->second->Reset();
if(!doResiduals) it->second->Divide(h1Map[it->first+"o"],h1Map[it->first+"t"],1.,1.,"B");
else residuals(h1Map[it->first+"o"], h1Map[it->first+"t"], it->second);
// for(Int_t i=0 ; i<=it->second->GetNbinsX()+1 ; i++) it->second->SetBinError(i,0);
it->second->SetMarkerStyle(20);
it->second->SetMarkerSize(0.5);
it->second->GetXaxis()->SetLabelSize(0.073);
it->second->GetYaxis()->SetLabelSize(0.073);
it->second->GetXaxis()->SetTitleSize(0.073);
it->second->GetYaxis()->SetTitleSize(0.073);
it->second->SetTitleSize(0.075);
it->second->GetYaxis()->SetTitleOffset(0.5);
if(!doResiduals)
{
it->second->SetMinimum(0.2);
it->second->SetMaximum(1.8);
}
else
{
it->second->SetMinimum(-5.);
it->second->SetMaximum(+5.);
}
it->second->SetTitle("");
if(!doResiduals) it->second->GetYaxis()->SetTitle("ratio");
else it->second->GetYaxis()->SetTitle("residuals");
}
TMapTSP2TGAE poissonGraphMap;
TMapTSP2TLeg legMap;
_INFO("");
oldDir->cd();
fD->cd();
TH1D* h1Template = (TH1D*)fD->Get("hMass_DYmumu"+suffix)->Clone();
h1Template->Reset();
TObjArray* toarr = new TObjArray();
if(doTruth) toarr->Read("truth_template2d");
else toarr->Read("template2d");
TH2D* h2SSM2000 = (TH2D*)((TObjArray*)toarr->At(0))->Clone("hMass"+suffix+"_Zprime_SSM2000_template2d");
for(Int_t bin=1 ; bin<=h2SSM2000->GetNbinsX() ; bin++)
{
h1Template->SetBinContent(bin, h2SSM2000->GetBinContent(bin,g4bin));
h1Template->SetBinError(bin, h2SSM2000->GetBinError(bin,g4bin));
}
h1Template->SetLineColor(kViolet);
h1Template->SetLineWidth(1);
h1Template->SetMarkerStyle(20);
h1Template->SetMarkerSize(0.3);
h1Template->SetMarkerColor(kViolet);
// the functions
h2Template = (TH2D*)h2SSM2000->Clone();
vector<TF1*> vfunc;
unsigned int nmllbins = h2Template->GetNbinsX();
for(unsigned int mll=1 ; mll<=(nmllbins-bins2chop) ; mll++) // 1...(56-9 = 47)
{
TString mllname = (TString)_s(mll);
TString mllval = (TString)_s(h2Template->GetXaxis()->GetBinCenter(mll+bins2chop));
TF1* f = new TF1("fNominal_mll"+mllname,fTH1toTF1,g4min,g4max,1);
f->SetParameter(0,mll);
f->SetParNames("mll");
// f->SetLineColor(kBlue);
// f->SetLineWidth(1);
f->SetNpx(400);
vfunc.push_back(f);
}
TGraph* graphDY = new TGraph();
graphDY->SetMarkerStyle(25);
graphDY->SetMarkerSize(0.6);
graphDY->SetMarkerColor(kGreen+2);
TGraph* graphSSM = new TGraph();
graphSSM->SetMarkerStyle(24);
graphSSM->SetMarkerSize(0.6);
graphSSM->SetMarkerColor(kOrange+8);
for(unsigned int i=0 ; i<vfunc.size() ; i++)
{
double DY = vfunc[i]->Eval(0.0);
double SSM = vfunc[i]->Eval(1.0);
graphDY->SetPoint(i,h2Template->GetXaxis()->GetBinCenter(bins2chop+i+1),DY);
graphSSM->SetPoint(i,h2Template->GetXaxis()->GetBinCenter(bins2chop+i+1),SSM);
}
oldDir->cd();
TObjArray* toarr1dTLV = new TObjArray();
TMapTSP2TH1D h1dTlvTmpltMap;
TFile* fT = NULL;
TString fTname = "plots/validation/ZP_2dtemplates_mc11c_33st_noInterference_noKKtmplates_noOverallEWkF_wthOfficialZP_treeLevelMass_Xmass";
fT = new TFile(fTname+"1000.root","READ");
toarr1dTLV->Read("template");
h1dTmp = (TH1D*)((TObjArray*)toarr1dTLV->At(0))->Clone();
h1dTmp->Add(hDY);
h1dTlvTmpltMap.insert( make_pair("1000",(TH1D*)resetErrors(h1dTmp)->Clone("1000")) );
fT = new TFile(fTname+"1250.root","READ");
toarr1dTLV->Read("template");
h1dTmp = (TH1D*)((TObjArray*)toarr1dTLV->At(0))->Clone();
h1dTmp->Add(hDY);
h1dTlvTmpltMap.insert( make_pair("1250",(TH1D*)resetErrors(h1dTmp)->Clone("1250")) );
fT = new TFile(fTname+"1500.root","READ");
toarr1dTLV->Read("template");
h1dTmp = (TH1D*)((TObjArray*)toarr1dTLV->At(0))->Clone();
h1dTmp->Add(hDY);
h1dTlvTmpltMap.insert( make_pair("1500",(TH1D*)resetErrors(h1dTmp)->Clone("1500")) );
fT = new TFile(fTname+"1750.root","READ");
toarr1dTLV->Read("template");
h1dTmp = (TH1D*)((TObjArray*)toarr1dTLV->At(0))->Clone();
h1dTmp->Add(hDY);
h1dTlvTmpltMap.insert( make_pair("1750",(TH1D*)resetErrors(h1dTmp)->Clone("1750")) );
fT = new TFile(fTname+"2000.root","READ");
toarr1dTLV->Read("template");
h1dTmp = (TH1D*)((TObjArray*)toarr1dTLV->At(0))->Clone();
h1dTmp->Add(hDY);
h1dTlvTmpltMap.insert( make_pair("2000",(TH1D*)resetErrors(h1dTmp)->Clone("2000")) );
oldDir->cd();
for(TMapTSP2TH1D::iterator it=h1Map.begin() ; it!=h1Map.end() ; ++it)
{
if(it->first.Contains("o"))
{
TString name = it->first;
name.ReplaceAll("o","");
it->second->SetFillColor(kAzure-9);
if(doTruth) it->second->SetTitle("m_{Z'} = "+name+" GeV (truth)");
else it->second->SetTitle("m_{Z'} = "+name+" GeV");
}
if(it->first.Contains("t"))
{
//TGraphAsymmErrors* poisson(TH1D* h)
it->second->SetLineColor(kBlue);
it->second->SetMarkerStyle(20);
it->second->SetMarkerSize(0.4);
it->second->SetMarkerColor(kBlue);
it->second->SetLineWidth(1);
TString name = it->first;
name.ReplaceAll("t","");
poissonGraphMap.insert( make_pair(name, (TGraphAsymmErrors*)poisson(it->second)->Clone()) );
poissonGraphMap[name]->SetMarkerStyle(20);
poissonGraphMap[name]->SetMarkerSize(0.3);
poissonGraphMap[name]->SetMarkerColor(kBlue);
poissonGraphMap[name]->SetLineWidth(1);
poissonGraphMap[name]->SetLineColor(kBlue);
}
}
Double_t yLine = (!doResiduals) ? 1. : 0.;
TLine* line = new TLine(0.07,yLine,3.,yLine);
line->SetLineColor(kRed);
line->SetLineWidth(2);
TMapTSP2TCNV cnvMap;
cnvMap.insert( make_pair("1000", new TCanvas("1000","1000",600,550)) );
if(isMC11c) cnvMap.insert( make_pair("1250", new TCanvas("1250","1250",600,550)) );
cnvMap.insert( make_pair("1500", new TCanvas("1500","1500",600,550)) );
cnvMap.insert( make_pair("1750", new TCanvas("1750","1750",600,550)) );
cnvMap.insert( make_pair("2000", new TCanvas("2000","2000",600,550)) );
for(TMapTSP2TCNV::iterator it=cnvMap.begin() ; it!=cnvMap.end() ; ++it)
{
_INFO("starting "+(string)it->first);
if(it->first=="2000") legMap.insert( make_pair(it->first, new TLegend(0.35,0.55,0.83,0.84,NULL,"brNDC")) );
else legMap.insert( make_pair(it->first, new TLegend(0.35,0.60,0.83,0.84,NULL,"brNDC")) );
legMap[it->first]->SetFillStyle(4000); //will be transparent
legMap[it->first]->SetFillColor(0);
legMap[it->first]->SetTextFont(42);
legMap[it->first]->AddEntry(h1Map[it->first+"o"],"Official Z'_{SSM}","F");
legMap[it->first]->AddEntry(hDY,"Official DY#mu#mu","lep");
legMap[it->first]->AddEntry(h1Map[it->first+"t"],"ME^{2} method: Template w/o couplings scale","lep");
if(it->first=="2000")
{
legMap[it->first]->AddEntry(h1Template,"ME^{2} method: Template histogram at #it{g=1} (SSM)","lep");
legMap[it->first]->AddEntry(graphSSM, "ME^{2} method: Template function at #it{g=1} (SSM)","p");
legMap[it->first]->AddEntry(graphDY, "ME^{2} method: Template function at #it{g=0} (DY)","p");
}
if(!doTruth)
{
h1dTlvTmpltMap[it->first]->SetLineColor(kCyan+2);
h1dTlvTmpltMap[it->first]->SetMarkerColor(kCyan+2);
h1dTlvTmpltMap[it->first]->SetMarkerStyle(5);
h1dTlvTmpltMap[it->first]->SetMarkerSize(0.5);
legMap[it->first]->AddEntry(h1dTlvTmpltMap[it->first],"ME^{2} method: DY+Template (no interference)","p");
h1dBrandeisTmpltMap[it->first]->SetLineColor(kRed);
h1dBrandeisTmpltMap[it->first]->SetMarkerColor(kRed);
h1dBrandeisTmpltMap[it->first]->SetMarkerStyle(27);
h1dBrandeisTmpltMap[it->first]->SetMarkerSize(0.5);
legMap[it->first]->AddEntry(h1dBrandeisTmpltMap[it->first],"Flat Z' method: DY+Template (no interference)","p");
}
it->second->Divide(1,2);
TVirtualPad* ph = it->second->cd(1);
TVirtualPad* pr = it->second->cd(2);
ph->SetPad(0.00, 0.35, 1.00, 1.00);
pr->SetPad(0.00, 0.00, 1.00, 0.35);
ph->SetBottomMargin(0.012);
pr->SetBottomMargin(0.20);
pr->SetTopMargin(0.012);
ph->cd();
ph->Draw();
ph->SetTicks(1,1);
ph->SetLogy();
ph->SetLogx();
// h1Map[it->first+"o"]->SetMaximum( h1Map[it->first+"t"]->GetMaximum()*1.5 );
// h1Map[it->first+"o"]->Draw();
TH1D* hTmpNoErr = (TH1D*)resetErrors(h1Map[it->first+"o"])->Clone();
hTmpNoErr->SetMaximum( h1Map[it->first+"t"]->GetMaximum()*1.5 );
hTmpNoErr->SetLineStyle(1);
hTmpNoErr->SetLineColor(kBlack);
hTmpNoErr->SetFillColor(kAzure-9);
hTmpNoErr->Draw();
TH1D* hTmpErr = (TH1D*)ShiftLog(h1Map[it->first+"o"],0.2)->Clone();
hTmpErr->SetFillStyle(4000); //will be transparent
hTmpErr->SetFillColor(0);
hTmpErr->DrawCopy("epx0SAMES");
hDY->Draw("SAMES");
h1Map[it->first+"t"]->Draw("epSAMES");
//poissonGraphMap[it->first]->Draw("pSAMES");
if(it->first=="2000")
{
graphDY->Draw("SAMESp");
graphSSM->Draw("SAMESp");
h1Template->Draw("epSAMES");
}
_INFO("");
h1dTlvTmpltMap[it->first]->Draw("SAMESp");
h1dBrandeisTmpltMap[it->first]->Draw("SAMESp");
TLine* chopline = new TLine(0.12805,getYmin(h1Map[it->first+"o"]),0.12805,7.e5);
chopline->SetLineStyle(2);
chopline->SetLineColor(kBlack);
chopline->Draw("SAMES");
ptxt->Draw("SAMES");
legMap[it->first]->Draw("SAMES");
ph->RedrawAxis();
ph->Update();
_INFO("");
pr->cd();
pr->Draw();
pr->SetTicks(1,1);
pr->SetGridy();
pr->SetLogx();
h1rMap[it->first]->Draw("ep");
line->Draw("SAMES");
h1rMap[it->first]->Draw("epSAMES");
legR->Draw("SAMES");
pr->RedrawAxis();
pr->Update();
unsigned int savestate = 1;
if(it->first=="1000") savestate = 0;
else if(it->first=="2000") savestate = 2;
else savestate = 1;
TString testType = (doResiduals) ? "_residuals" : "_ratio";
mutype = (doTruth) ? "_truth" : "_recon";
savemultipdf(it->second, "plots/validation/validation"+mutype+testType+"_"+mctype+"_all.pdf", savestate);
saveas(it->second, "plots/validation/validation"+mutype+testType+"_"+mctype+"_"+it->first);
TCanvas* c = new TCanvas(it->first,"",600,400);
c->cd();
c->Draw();
c->SetTicks(1,1);
c->SetLogy();
c->SetLogx();
hTmpNoErr->Draw();
hTmpErr->DrawCopy("epx0SAMES");
hDY->Draw("SAMES");
h1Map[it->first+"t"]->Draw("epSAMES");
//poissonGraphMap[it->first]->Draw("pSAMES");
if(it->first=="2000")
{
graphDY->Draw("SAMESp");
graphSSM->Draw("SAMESp");
h1Template->Draw("epSAMES");
}
h1dTlvTmpltMap[it->first]->Draw("SAMESp");
h1dBrandeisTmpltMap[it->first]->Draw("SAMESp");
legMap[it->first]->Draw("SAMES");
chopline->Draw("SAMES");
ptxt->Draw("SAMES");
c->RedrawAxis();
c->Update();
saveas(c,"plots/validation/validation_"+it->first+"_"+mutype+testType);
_INFO("done "+(string)it->first);
}
}
//______________________________________________________________________________
void CMSApplicationTBB::FinishRun() {
#ifdef USE_ROOT
if (fScore == kNoScore)
return;
TCanvas *c1 = new TCanvas("CMS test flux", "Simple scoring in CMS geometry", 700, 1200);
double norm = 1. / fRunMgr->GetNprimaries();
TVirtualPad *pad;
TFile *f = TFile::Open("ScoreECAL.root", "RECREATE");
c1->Divide(2, 3);
pad = c1->cd(1);
pad->SetLogx();
pad->SetLogy();
fFluxElec->Sumw2();
fFluxElec->Scale(norm);
fFluxElec->Draw("9");
pad = c1->cd(2);
pad->SetLogx();
pad->SetLogy();
fFluxGamma->Sumw2();
fFluxGamma->Scale(norm);
fFluxGamma->Draw("9");
pad = c1->cd(3);
pad->SetLogx();
pad->SetLogy();
fFluxP->Sumw2();
fFluxP->Scale(norm);
fFluxP->Draw("9");
pad = c1->cd(4);
pad->SetLogx();
pad->SetLogy();
fFluxPi->Sumw2();
fFluxPi->Scale(norm);
fFluxPi->Draw("9");
pad = c1->cd(5);
pad->SetLogx();
pad->SetLogy();
fFluxK->Sumw2();
fFluxK->Scale(norm);
fFluxK->Draw("9");
fFluxElec->Write();
fFluxGamma->Write();
fFluxP->Write();
fFluxPi->Write();
fFluxK->Write();
TCanvas *c2 = new TCanvas("CMS test edep", "Simple scoring in CMS geometry", 700, 1200);
c2->Divide(2, 3);
pad = c2->cd(1);
pad->SetLogx();
pad->SetLogy();
fEdepElec->Sumw2();
fEdepElec->Scale(norm);
fEdepElec->Draw("9");
pad = c2->cd(2);
pad->SetLogx();
pad->SetLogy();
fEdepP->Sumw2();
fEdepP->Scale(norm);
fEdepP->Draw("9");
pad = c2->cd(3);
pad->SetLogx();
pad->SetLogy();
fEdepPi->Sumw2();
fEdepPi->Scale(norm);
fEdepPi->Draw("9");
pad = c2->cd(4);
pad->SetLogx();
pad->SetLogy();
fEdepK->Sumw2();
fEdepK->Scale(norm);
fEdepK->Draw("9");
pad = c2->cd(5);
pad->SetLogx();
pad->SetLogy();
fEdepGamma->Sumw2();
fEdepGamma->Scale(norm);
fEdepGamma->Draw("9");
fEdepElec->Write();
fEdepGamma->Write();
fEdepP->Write();
fEdepPi->Write();
fEdepK->Write();
// Close file
f->Close();
#endif
}
TCanvas* pHitSpecPosGen( )
{
TCanvas* c = new TCanvas("cHitSpecPosGen","cHitSpecPosGen",1200,600);
c->Divide(2,1);
TVirtualPad* p; TH2D *h; TH2D *hAtPhi0;
TText t; t.SetTextColor(4);
p =c->cd(1); p->SetLogy(); p->SetGrid(0,1);
h = (TH2D*)gROOT->FindObject("hHitSpec_PtVsPhiGen_Minus");
hAtPhi0 = (TH2D*)gROOT->FindObject("hHitSpec_PtVsPhiGenAtPhi0_Minus");
h->GetYaxis()->SetRange(4,33);
h->GetXaxis()->SetNdivisions(505); h->GetXaxis()->SetLabelSize(0.04);
h->DrawCopy("box");
hAtPhi0->SetLineColor(2);
hAtPhi0->DrawCopy("box same");
t.DrawTextNDC(0.17,0.15, "BARREL MU MINUS");
std::cout <<h->GetTitle() << std::endl;
for (int iy = 1; iy <=h->GetNbinsY(); iy++) {
std::cout <<" pt: " << h->GetYaxis()->GetBinLowEdge(iy);
double xmin=100.;
double xAtMax = 0.; double valAtMax = 0.;
double xmax=-100.;
for (int ix = 1; ix <=h->GetNbinsX(); ix++) {
double val = h->GetBinContent(ix,iy);
double xbmin = h->GetXaxis()->GetBinLowEdge(ix);
double xcent = h->GetXaxis()->GetBinCenter(ix);
double xbmax = h->GetXaxis()->GetBinUpEdge(ix);
if (val > valAtMax) { valAtMax = val; xAtMax = xcent; }
if (val > 1 && (xbmin < xmin)) xmin = xbmin;
if (val > 1 && (xbmax > xmax)) xmax = xbmax;
}
std::cout <<" set DPHI0 = "<<1.025-xAtMax
<<"; set DPHI_MARGIN = " <<std::max( (xAtMax-xmin), (xmax-xAtMax))
<<";" << std::endl;
}
p =c->cd(2); p->SetLogy(); p->SetGrid(1,1);
h = (TH2D*)gROOT->FindObject("hHitSpec_PtVsPhiGen_Plus");
hAtPhi0 = (TH2D*)gROOT->FindObject("hHitSpec_PtVsPhiGenAtPhi0_Plus");
h->GetYaxis()->SetRange(4,32);
h->GetXaxis()->SetNdivisions(505); h->GetXaxis()->SetLabelSize(0.04);
h->DrawCopy("box");
hAtPhi0->SetLineColor(2);
hAtPhi0->DrawCopy("box same");
t.DrawTextNDC(0.17,0.15, "BARREL MU PLUS");
std::cout <<h->GetTitle() << std::endl;
for (int iy = 1; iy <=h->GetNbinsY(); iy++) {
std::cout <<" pt: " << h->GetYaxis()->GetBinLowEdge(iy);
double xmin=100.;
double xAtMax = 0.; double valAtMax = 0.;
double xmax=-100.;
for (int ix = 1; ix <=h->GetNbinsX(); ix++) {
double val = h->GetBinContent(ix,iy);
double xbmin = h->GetXaxis()->GetBinLowEdge(ix);
double xcent = h->GetXaxis()->GetBinCenter(ix);
double xbmax = h->GetXaxis()->GetBinUpEdge(ix);
if (val > valAtMax) { valAtMax = val; xAtMax = xcent; }
if (val > 1 && (xbmin < xmin)) xmin = xbmin;
if (val > 1 && (xbmax > xmax)) xmax = xbmax;
}
std::cout <<" set DPHI0 = "<<1.025-xAtMax
<<"; set DPHI_MARGIN = " <<std::max( (xAtMax-xmin), (xmax-xAtMax))
<<";" << std::endl;
}
return c;
}
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();
}