void QAoccupancy(const Char_t *fdata, const Char_t *fmc)
{
style();
TFile *fdtin = TFile::Open(fdata);
TList *ldtin = (TList *)fdtin->Get("clist");
TH2 *hdtin = (TH2 *)ldtin->FindObject("NClustersSPD2");
TProfile *pdtin = hdtin->ProfileY("pdtin_clusters");
pdtin->SetMarkerStyle(20);
pdtin->SetMarkerSize(2);
pdtin->SetMarkerColor(kAzure-3);
TFile *fmcin = TFile::Open(fmc);
TList *lmcin = (TList *)fmcin->Get("clist");
TH2 *hmcin = (TH2 *)lmcin->FindObject("NClustersSPD2");
TProfile *pmcin = hmcin->ProfileY("pmcin_clusters");
pmcin->SetMarkerStyle(25);
pmcin->SetMarkerSize(2);
pmcin->SetMarkerColor(kRed+1);
TCanvas *c = new TCanvas("cOccupancy", "cOccupancy", 800, 800);
c->SetLogy();
TH1 * hfr = c->DrawFrame(-0.5, 2., 10.5, 500.);
DrawBinLabelsX(hfr, kTRUE);
hfr->SetTitle(";;#LT#it{N}_{clusters,SPD-1}#GT");
pdtin->DrawCopy("same");
pmcin->DrawCopy("same");
TLegend *legend = new TLegend(0.20, 0.18, 0.50, 0.30);
legend->SetFillColor(0);
legend->SetBorderSize(0);
legend->SetTextFont(42);
legend->SetTextSize(0.04);
legend->AddEntry(pdtin, "data", "pl");
legend->AddEntry(pmcin, "Monte Carlo", "pl");
legend->Draw("same");
c->SaveAs(canvasPrefix+"occupancy.pdf");
return;
TCanvas *cr = new TCanvas("cOccupancyr", "cOccupancyr", 800, 800);
// hfr = cr->DrawFrame(-0.5, 0.75, 10.5, 1.25);
// DrawBinLabelsX(hfr, kTRUE);
// hfr->SetTitle(";;#LT#it{N}_{clusters,SPD-1}#GT ratio");
pdtin->SetLineColor(kAzure-3);
pdtin->SetLineWidth(3);
pdtin->Divide(pmcin);
pdtin->Draw("same,histo");
legend = new TLegend(0.505025, 0.760673, 0.805276, 0.930142);
legend->SetFillColor(0);
legend->SetBorderSize(0);
legend->SetTextFont(42);
legend->SetTextSize(0.04);
legend->AddEntry(pdtin, "data / Monte Carlo", "l");
legend->Draw("same");
cr->SaveAs(canvasPrefix+"occupancyr.pdf");
}
// Draw a 2-D plot within the specified Y range and superimpose its X profile,
// setting as sigmas that of the fit (and not the error of the mean)
void plotAndProfileXSpread (TH2* h2, float min, float max, bool profile=false, float ymin=-5., float ymax=5.) {
setStyle(h2);
gPad->SetGrid(1,1);
gStyle->SetGridColor(15);
gStyle->SetOptStat(0);
// h2->RebinX(3);
// h2->RebinY(2);
// h2->SetXTitle("distance from anode (cm)");
// h2->SetYTitle("(d_{reco}-d_{sim})/#sigma_{reco}");
h2->SetMarkerColor(2);
h2->SetLineColor(2);
h2->GetYaxis()->SetTitleOffset(1.4);
h2->GetXaxis()->SetRangeUser(min,max);
h2->GetYaxis()->SetRangeUser(ymin,ymax);
h2->DrawCopy("box");
if (profile) {
TProfile* prof = h2->ProfileX("profile",-1,-1,"s");
prof->SetMarkerStyle(20);
prof->SetMarkerSize(1.2);
prof->SetMarkerColor(1);
prof->SetLineColor(1);
prof->SetLineWidth(2);
prof->DrawCopy("same e1");
delete prof;
}
TLine * l = new TLine(h2->GetXaxis()->GetXmin(),0,h2->GetXaxis()->GetXmax(),0);
l->SetLineColor(3);
l->Draw();
}
TCanvas *Plot2D_profileX_my(TChain *data, TString branchname, TString binning,TString selection,TString opt,TString xLabel, TString yLabel){
//type == 0: data only
//type == 1: MC only
//type == 2: data/MC
TCanvas *c = new TCanvas("c","");
data->Draw(branchname+">>data_hist"+binning,selection,opt);
TH2F *d = (TH2F *) gROOT->FindObject("data_hist");
TCanvas *c1 = new TCanvas("c1","");
TProfile *prof = d->ProfileX("prof",1,-1,"s");
prof->SetMarkerStyle(20);
prof->SetMarkerSize(1);
prof->Draw();
prof->GetYaxis()->SetTitle(yLabel);
prof->GetXaxis()->SetTitle(xLabel);
return c1;
}
TProfile* plotIsoPerformance( TFile* ftt,
const char* signal, // histogram name
const char* background, // histogram name
const char* name, // unique name
bool reverse = false, // normally signal near zero bin, reverse means signal is around max bin
double bkg_eff_min = 0,
double bkg_eff_max = 1,
double sig_eff_min = 0,
double sig_eff_max = 0
)
{
TH1F* S = dynamic_cast<TH1F*>(ftt->Get(signal));
if ( ! S ) {
std::cout << "Error: histogram not found " << signal << std::endl;
return 0;
}
TH1F* B = dynamic_cast<TH1F*>(ftt->Get(background));
if ( ! B ) {
std::cout << "Error: histogram not found " << background << std::endl;
return 0;
}
char buf[1024];
sprintf(buf,"c_%s",name);
// TCanvas* c = new TCanvas(buf,buf,500,500);
sprintf(buf,"p_%s",name);
TProfile* p = new TProfile(buf,buf,50,bkg_eff_min,bkg_eff_max,sig_eff_min,sig_eff_max);
p->SetLineColor(kBlue);
p->SetLineWidth(2);
p->SetMarkerStyle(20);
p->SetMarkerSize(1);
p->GetXaxis()->SetTitle("Background Efficiency");
p->GetYaxis()->SetTitle("Signal Efficiency");
p->SetStats(kFALSE);
for( int i=0;i<=S->GetNbinsX()+1; ++i )
if ( reverse )
p->Fill(B->Integral(i,B->GetNbinsX()+1)/B->Integral(0,B->GetNbinsX()+1),
S->Integral(i,S->GetNbinsX()+1)/S->Integral(0,S->GetNbinsX()+1));
else
p->Fill(B->Integral(0,i)/B->Integral(0,B->GetNbinsX()+1),
S->Integral(0,i)/S->Integral(0,S->GetNbinsX()+1));
// p->Draw();
return p;
}
//----------------------------------------//
// Get profile from all events mixed
//----------------------------------------//
TProfile* getMixProfile(TFile* file, int nbins,
float xmin, float xmax,
int color, int marker)
{
// Histograms all have same base name
string base = "h_evt";
// String stream easy for manipulation
stringstream ss;
// Create Profile
TProfile* p = new TProfile("mixed","",nbins,xmin,xmax);
p->SetMarkerSize(0.75);
p->SetMarkerStyle(marker);
p->SetMarkerColor(color);
p->SetLineColor(color);
// Now loop over events and get result
TH1F* h = NULL;
for(int i=0; i<m_nEvent; ++i){
ss.str("");
ss << base << i;
h = (TH1F*) file->Get(ss.str().c_str());
// Loop over bin content
for(int bin=1; bin<=h->GetNbinsX(); ++bin){
float content = h->GetBinContent(bin);
float center = h->GetBinCenter(bin);
p->Fill(center, content);
}
h = NULL;
}// end loop events
return p;
}
void canvas_write()
{
//just in case this script is executed multiple times
delete gROOT->GetListOfFiles()->FindObject("hsimple.root");
delete gROOT->GetListOfCanvases()->FindObject("c1");
gBenchmark->Start("ntuple1");
//
// Connect ROOT histogram/ntuple demonstration file
// generated by example hsimple.C.
TFile *f1 = new TFile("hsimple.root");
//
// Create a canvas, with 4 pads
//
TCanvas *c1 = new TCanvas("c1","The Ntuple canvas",200,10,700,780);
TPad *pad1 = new TPad("pad1","This is pad1",0.02,0.52,0.48,0.98,21);
TPad *pad2 = new TPad("pad2","This is pad2",0.52,0.52,0.98,0.98,21);
TPad *pad3 = new TPad("pad3","This is pad3",0.02,0.02,0.48,0.48,21);
TPad *pad4 = new TPad("pad4","This is pad4",0.52,0.02,0.98,0.48,1);
pad1->Draw();
pad2->Draw();
pad3->Draw();
pad4->Draw();
//
// Change default style for the statistics box
gStyle->SetStatW(0.30);
gStyle->SetStatH(0.20);
gStyle->SetStatColor(42);
//
// Display a function of one ntuple column imposing a condition
// on another column.
pad1->cd();
pad1->SetGrid();
pad1->SetLogy();
pad1->GetFrame()->SetFillColor(15);
TNtuple *ntuple = (TNtuple*)f1->Get("ntuple");
ntuple->SetLineColor(1);
ntuple->SetFillStyle(1001);
ntuple->SetFillColor(45);
ntuple->Draw("3*px+2","px**2+py**2>1");
ntuple->SetFillColor(38);
ntuple->Draw("2*px+2","pz>2","same");
ntuple->SetFillColor(5);
ntuple->Draw("1.3*px+2","(px^2+py^2>4) && py>0","same");
pad1->RedrawAxis();
//
// Display the profile of two columns
// The profile histogram produced is saved in the current directory with
// the name hprofs
pad2->cd();
pad2->SetGrid();
pad2->GetFrame()->SetFillColor(32);
ntuple->Draw("pz:px>>hprofs","","goffprofs");
TProfile *hprofs = (TProfile*)gDirectory->Get("hprofs");
hprofs->SetMarkerColor(5);
hprofs->SetMarkerSize(0.7);
hprofs->SetMarkerStyle(21);
hprofs->Fit("pol2");
// Get pointer to fitted function and modify its attributes
TF1 *fpol2 = hprofs->GetFunction("pol2");
fpol2->SetLineWidth(4);
fpol2->SetLineColor(2);
//
// Display a scatter plot of two columns with a selection.
// Superimpose the result of another cut with a different marker color
pad3->cd();
pad3->GetFrame()->SetFillColor(38);
pad3->GetFrame()->SetBorderSize(8);
ntuple->SetMarkerColor(1);
ntuple->Draw("py:px","pz>1");
ntuple->SetMarkerColor(2);
ntuple->Draw("py:px","pz<1","same");
//
// Display a 3-D scatter plot of 3 columns. Superimpose a different selection.
pad4->cd();
ntuple->Draw("pz:py:px","(pz<10 && pz>6)+(pz<4 && pz>3)");
ntuple->SetMarkerColor(4);
ntuple->Draw("pz:py:px","pz<6 && pz>4","same");
ntuple->SetMarkerColor(5);
ntuple->Draw("pz:py:px","pz<4 && pz>3","same");
TPaveText *l4 = new TPaveText(-0.9,0.5,0.9,0.95);
l4->SetFillColor(42);
l4->SetTextAlign(12);
l4->AddText("You can interactively rotate this view in 2 ways:");
l4->AddText(" - With the RotateCube in clicking in this pad");
l4->AddText(" - Selecting View with x3d in the View menu");
l4->Draw();
//
c1->cd();
c1->Update();
gStyle->SetStatColor(19);
gBenchmark->Show("ntuple1");
TSQLFile* fsql1 = new TSQLFile(dbname, "recreate", username, userpass);
if (fsql1->IsZombie()) { delete fsql1; return; }
// changing TSQLFile configuration, you may improve speed
// of reading or writing object to/from sql database
// fsql1->SetUseSuffixes(kFALSE);
// fsql1->SetArrayLimit(1000);
// fsql1->SetUseIndexes(1);
// fsql1->SetTablesType("ISAM");
// fsql1->SetUseTransactions(kFALSE);
// Unncomment this line to see all SQL commands in log file
// fsql1->StartLogFile("canvas.log");
gBenchmark->Start("writeSQL");
c1->Write("Canvas");
gBenchmark->Show("writeSQL");
delete fsql1;
}
void balanceMetVsAj(TString infname = "dj_HCPR-J50U-hiGoodMergedTracks_OfficialSelv2_Final0_120_50.root",TCut myCut = "cent<30", char *title = "",bool drawLegend = false)
{
TFile *inf = new TFile(infname);
TTree *t = (TTree*)inf->Get("ntjt");
const int nBin = 3;
double bins[nBin+1] = {0.5,4,8,1000};
double colors[nBin] = {kOrange-8,kBlue-3,kRed};
// Selection cut
TCut evtCut = "nljet>100&&abs(nljetacorr)<2&&aljet>50&&abs(aljetacorr)<2&&jdphi>2./3*TMath::Pi()&&!maskEvt";
cout << "Sel evt: " << t->GetEntries(evtCut&&myCut) << endl;
TProfile *p[nBin];
for (int i=0;i<nBin;i++)
{
p[i] = new TProfile(Form("p%d",i),"",5,0.0001,0.49999);
t->Project(Form("p%d",i),Form("-1*metxMerged%d:Aj",i), "1"*(evtCut&&myCut));
p[i]->SetLineColor(colors[i]);
p[i]->SetMarkerColor(colors[i]);
}
TProfile *pall = new TProfile("pall","",5,0.0001,0.49999);
pall->SetXTitle("A_{J}");
pall->SetYTitle("<#slash{p}_{T}^{#parallel}> (GeV/c)");
pall->GetXaxis()->CenterTitle();
pall->GetYaxis()->CenterTitle();
pall->SetNdivisions(505);
t->Project("pall","-1*metx:Aj", "1"*(evtCut&&myCut));
pall->SetAxisRange(-50,50,"Y");
pall->SetMarkerSize(1);
pall->Draw("E");
for (int i=0;i<nBin;++i) {
p[i]->SetLineWidth(3);
p[i]->Draw("e hist same");
}
pall->Draw("E same");
// Legend
TLegend *leg = new TLegend(0.10,0.68,0.70,0.96);
leg->SetFillStyle(0);
leg->SetBorderSize(0);
leg->SetTextFont(63);
leg->SetTextSize(16);
leg->AddEntry(pall,Form("> %.1f GeV/c",bins[0]),"pl");
for (int i=0;i<nBin;++i) {
if (i!=nBin-1){
leg->AddEntry(p[i],Form("%.1f - %.1f GeV/c",bins[i],bins[i+1]),"l");
} else {
leg->AddEntry(p[i],Form("> %.1f GeV/c",bins[i]),"l");
}
}
if (drawLegend) leg->Draw();
TLine * l0 = new TLine(0,0,0.5,0);
l0->SetLineStyle(2);
l0->Draw();
TText *titleText = new TText(0.3,30,title);
titleText->Draw();
}
void makePlot(char* canv)
{
t->SetBranchAddress("LM_PX1", &intree.LM_PX1);
t->SetBranchAddress("LM_PX2", &intree.LM_PX2);
t->SetBranchAddress("LM_PY1", &intree.LM_PY1);
t->SetBranchAddress("LM_PY2", &intree.LM_PY2);
t->SetBranchAddress("LM_P2_Integral", &intree.LM_P2_Integral);
t->SetBranchAddress("time", &intree.timeline);
t->Print();
if(entries<=0)
entries = t->GetEntries();
char title[100]=0;
sprintf(title,"%s runs 1100-1107",canv);
TProfile *prof = new TProfile(title,title,24,0,entries);
TProfile *prof1 = new TProfile(title,title,24,0,entries);
TProfile *prof2 = new TProfile(title,title,24,0,entries);
/**************************************
* read entries
**************************************
*/
Double_t *ratio = new Double_t[entries];
Double_t *parmean = new Double_t[entries];
Double_t *p1 = new Double_t[entries];
Double_t *p2 = new Double_t[entries];
for (int j = 0; j < entries; ++j){
gSystem->Sleep (sleep);
t->GetEntry(j);
ratio[j] = intree.LM_PY1/intree.LM_PY2;
p1[j] = intree.LM_PY1;
p2[j] = intree.LM_PY2;
//cout<<"entry "<<j<<" peak2 "<<intree.LM_PY2<<endl;
}
Double_t mean = TMath::Mean(entries,ratio);
Double_t mean1 = TMath::Mean(entries,p1);
Double_t mean2 = TMath::Mean(entries,p2);
for (int j = 0; j < entries; ++j){
prof->Fill(j,(ratio[j]/mean-1)*100);
prof1->Fill(j,(p1[j]/mean1-1)*100);
prof2->Fill(j,(p2[j]/mean2-1)*100);
}
TCanvas *c1 = new TCanvas(canv,"frascatirun",900,700);
c1->cd();
char axisXname[100];
sprintf(axisXname,"Time (Entries) (total: %i)",entries);
prof->SetXTitle(axisXname);
prof->SetYTitle("Variation (%)");
prof->SetMaximum(1);
prof->SetMinimum(-1);
prof->SetMarkerColor(4);
prof->SetMarkerSize(1);
prof->SetMarkerStyle(8);
prof->SetStats(kFALSE);
prof->Draw();
prof1->SetMarkerColor(5);
prof1->SetMarkerSize(1);
prof1->SetMarkerStyle(6);
prof1->Draw("same");
prof2->SetMarkerColor(1);
prof2->SetMarkerSize(1);
prof2->SetMarkerStyle(7);
prof2->Draw("same");
/* TLegend leg = new TLegend(0.1,0.7,0.48,0.9);
leg->SetHeader("The Legend Title");
leg->AddEntry(h1,"Histogram filled with random numbers","f");
leg->AddEntry("f1","Function abs(#frac{sin(x)}{x})","l");
leg->AddEntry("gr","Graph with error bars","lep");
leg->Draw("same");
*/
}
void ntuple1() {
//Small tree analysis script
// To see the output of this macro, click begin_html <a href="gif/ntuple1.gif">here</a> end_html
//Author:: Rene Brun
//just in case this script is executed multiple times
delete gROOT->GetListOfFiles()->FindObject("hsimple.root");
delete gROOT->GetListOfCanvases()->FindObject("c1");
gBenchmark->Start("ntuple1");
//
// Connect ROOT histogram/ntuple demonstration file
// generated by example $ROOTSYS/tutorials/hsimple.C.
TFile *f1 = TFile::Open("hsimple.root");
if (!f1) return;
//
// Create a canvas, with 4 pads
//
TCanvas *c1 = new TCanvas("c1","The Ntuple canvas",200,10,700,780);
TPad *pad1 = new TPad("pad1","This is pad1",0.02,0.52,0.48,0.98,21);
TPad *pad2 = new TPad("pad2","This is pad2",0.52,0.52,0.98,0.98,21);
TPad *pad3 = new TPad("pad3","This is pad3",0.02,0.02,0.48,0.48,21);
TPad *pad4 = new TPad("pad4","This is pad4",0.52,0.02,0.98,0.48,1);
pad1->Draw();
pad2->Draw();
pad3->Draw();
pad4->Draw();
//
// Change default style for the statistics box
gStyle->SetStatW(0.30);
gStyle->SetStatH(0.20);
gStyle->SetStatColor(42);
//
// Display a function of one ntuple column imposing a condition
// on another column.
pad1->cd();
pad1->SetGrid();
pad1->SetLogy();
pad1->GetFrame()->SetFillColor(15);
TNtuple *ntuple = (TNtuple*)f1->Get("ntuple");
ntuple->SetLineColor(1);
ntuple->SetFillStyle(1001);
ntuple->SetFillColor(45);
ntuple->Draw("3*px+2","px**2+py**2>1");
ntuple->SetFillColor(38);
ntuple->Draw("2*px+2","pz>2","same");
ntuple->SetFillColor(5);
ntuple->Draw("1.3*px+2","(px^2+py^2>4) && py>0","same");
pad1->RedrawAxis();
//
// Display the profile of two columns
// The profile histogram produced is saved in the current directory with
// the name hprofs
pad2->cd();
pad2->SetGrid();
pad2->GetFrame()->SetFillColor(32);
ntuple->Draw("pz:px>>hprofs","","goffprofs");
TProfile *hprofs = (TProfile*)gDirectory->Get("hprofs");
hprofs->SetMarkerColor(5);
hprofs->SetMarkerSize(0.7);
hprofs->SetMarkerStyle(21);
hprofs->Fit("pol2");
// Get pointer to fitted function and modify its attributes
TF1 *fpol2 = hprofs->GetFunction("pol2");
fpol2->SetLineWidth(4);
fpol2->SetLineColor(2);
//
// Display a scatter plot of two columns with a selection.
// Superimpose the result of another cut with a different marker color
pad3->cd();
pad3->GetFrame()->SetFillColor(38);
pad3->GetFrame()->SetBorderSize(8);
ntuple->SetMarkerColor(1);
ntuple->Draw("py:px","pz>1");
ntuple->SetMarkerColor(2);
ntuple->Draw("py:px","pz<1","same");
//
// Display a 3-D scatter plot of 3 columns. Superimpose a different selection.
pad4->cd();
ntuple->Draw("pz:py:px","(pz<10 && pz>6)+(pz<4 && pz>3)");
ntuple->SetMarkerColor(4);
ntuple->Draw("pz:py:px","pz<6 && pz>4","same");
ntuple->SetMarkerColor(5);
ntuple->Draw("pz:py:px","pz<4 && pz>3","same");
TPaveText *l4 = new TPaveText(-0.9,0.5,0.9,0.95);
l4->SetFillColor(42);
l4->SetTextAlign(12);
l4->AddText("You can interactively rotate this view in 2 ways:");
l4->AddText(" - With the RotateCube in clicking in this pad");
l4->AddText(" - Selecting View with x3d in the View menu");
l4->Draw();
//
c1->cd();
c1->Update();
gStyle->SetStatColor(19);
gBenchmark->Show("ntuple1");
}
