double GetMultTrgMean(int itrg)
{
TH2D* hmulttrg = (TH2D*) gInputfile->Get(Form("%smult_trg_%d",subdir.Data(),itrg));
TH1D* hmulttrg_proj = (TH1D*)hmulttrg->ProjectionY(Form("mult_trg_proj_%d",itrg),-1,-1);
double multtrg_mean = hmulttrg_proj->GetMean();
return multtrg_mean;
}
void plotTurnOn(TTree* inttree, TString triggerpass, TString variable, TString varname, TString varlatex, Int_t BIN_NUM, Double_t BIN_MIN, Double_t BIN_MAX, TString addcut="")
{
TLatex* tex = new TLatex(0.18,0.96,triggerpass);
tex->SetNDC();
tex->SetTextFont(42);
tex->SetTextSize(0.04);
TH1D* hinclusive = new TH1D(Form("hinclusive_%s_%s",triggerpass.Data(),varname.Data()),Form(";Matched reco D^{0} %s;Candidates",varlatex.Data()),BIN_NUM,BIN_MIN,BIN_MAX);
inttree->Project(Form("hinclusive_%s_%s",triggerpass.Data(),varname.Data()),variable,Form("%s%s",prefilter.Data(),addcut.Data()));
hinclusive->Sumw2();
if(triggerpass=="HLT_DmesonTrackingGlobalPt8_Dpt20_v1"||triggerpass=="HLT_DmesonPPTrackingGlobal_Dpt20_v1")
{
TCanvas* chinclusive = new TCanvas(Form("chinclusive_%s",varname.Data()),"",500,500);
hinclusive->Draw();
hinclusive->SetStats(0);
tex->Draw();
if(isPbPb) chinclusive->SaveAs(Form("triggerturnonPlots/pthat%.0f/MBseed/pbpb/chinclusive_%s.pdf",pthat,varname.Data()));
else chinclusive->SaveAs(Form("triggerturnonPlots/pthat%.0f/MBseed/pp/chinclusive_%s.pdf",pthat,varname.Data()));
}
TH2D* hempty = new TH2D(Form("hempty_%s_%s",triggerpass.Data(),varname.Data()),Form(";Matched reco D^{0} %s;Pass efficiency (ZB seed)",varlatex.Data()),BIN_NUM,BIN_MIN,BIN_MAX,10,0,1.2);
hempty->SetStats(0);
TH1D* hMBseed = new TH1D(Form("h%s_MBseed_%s",triggerpass.Data(),varname.Data()),"",BIN_NUM,BIN_MIN,BIN_MAX);
inttree->Project(Form("h%s_MBseed_%s",triggerpass.Data(),varname.Data()),variable,Form("%s%s&&%s",prefilter.Data(),addcut.Data(),triggerpass.Data()));
hMBseed->Sumw2();
TEfficiency* pEffMBseed = new TEfficiency(*hMBseed,*hinclusive);
TCanvas* cMBseed = new TCanvas(Form("c%s_MBseed_%s",triggerpass.Data(),varname.Data()),"",500,500);
hempty->Draw();
pEffMBseed->Draw("PSAME");
tex->Draw();
/*
if(isPbPb) cMBseed->SaveAs(Form("triggerturnonPlots/pthat%.0f/MBseed/pbpb/c%s_MBseed_%s.pdf",pthat,triggerpass.Data(),varname.Data()));
else cMBseed->SaveAs(Form("triggerturnonPlots/pthat%.0f/MBseed/pp/c%s_MBseed_%s.pdf",pthat,triggerpass.Data(),varname.Data()));
*/
cMBseed->SaveAs(Form("triggerturnonPlots/pthat%.0f/ZBseed/pp/c%s_MBseed_%s.pdf",pthat,triggerpass.Data(),varname.Data()));
}
double GetMultAssMean(int jass)
{
TH2D* hmultass = (TH2D*) gInputfile->Get(Form("%smult_ass_%d",subdir.Data(),jass));
TH1D* hmultass_proj = (TH1D*)hmultass->ProjectionY(Form("mult_ass_proj_%d",jass),-1,-1);
double multass_mean = hmultass_proj->GetMean();
return multass_mean;
}
Double_t MakeHistsForSlides(TString goodFile, TString badFile, TString rootFile)
{
//Extracting the histogram
TFile* f = TFile::Open(rootFile);
TDirectoryFile* dirFile = (TDirectoryFile*)(f->Get("AliAnalysisTaskCalibEmcal"));
TList* list = (TList*)(dirFile->Get("histogram"));
TH2D* cellVAmplitude = (TH2D*)(list->FindObject("_histogram_cell_id_amplitude"));
//Getting a Good Cell
TH1D* goodC = new TH1D();
ifstream myFile(goodFile);
TString title = "";
const int num = 500;
if(myFile.is_open())
{
string line = "";
std::getline(myFile,line);
int index = 0;
double chi2 = 0.0;
while(myFile >> index >> chi2 && index < num)
{
//cout << index << "\t" << chi2 << endl;
title = Form("Energy distribution of Cell %d",index);
TH1D* goodCell = cellVAmplitude->ProjectionY("goodCell", index+1,index+1);
goodC = (TH1D*)goodCell->Clone();
}
}
void drawArrowPlot(TChain *mc, TString varU, TString deltaU, TString varV, TString deltaV, Int_t nbinU, Double_t minU, Double_t maxU, Int_t nbinV, Double_t minV, Double_t maxV){
TString uvname = generateRandomName();
TString uname = generateRandomName();
TString vname = generateRandomName();
TH2D * UV = new TH2D(uvname,uvname,10*nbinU,minU,maxU,10*nbinV,minV,maxV);
TProfile2D * dU = new TProfile2D(uname,uname,nbinU,minU,maxU,nbinV,minV,maxV);
TProfile2D * dV = new TProfile2D(vname,vname,nbinU,minU,maxU,nbinV,minV,maxV);
mc->Draw(varV+":"+varU+">>"+uvname,"(isAssoc==1)","goff");
mc->Draw(deltaU+":"+varV+":"+varU+">>"+uname,"(isAssoc==1)","goffprof");
mc->Draw(deltaV+":"+varV+":"+varU+">>"+vname,"(isAssoc==1)","goffprof");
SetFancyGrayscalePalette();
UV->Draw("colsame");
for (Int_t iU=1; iU<nbinU+1; iU++){
for (Int_t iV=1; iV<nbinV+1; iV++){
Double_t uu = dU->GetXaxis()->GetBinCenter(iU);
Double_t vv = dU->GetYaxis()->GetBinCenter(iV);
Double_t du = dU->GetBinContent(iU,iV);
Double_t dv = dV->GetBinContent(iU,iV);
Double_t due = dU->GetBinError(iU,iV);
Double_t dve = dV->GetBinError(iU,iV);
drawArrow(uu,vv,du,due,dv,dve);
}
}
}
TH1* getHisto(char * filename, char* histoName, char * dirName, int nBin, double lumi)
{
TH1 * hpt_=0;
TFile *file0 = TFile::Open(filename);
if(!file0) return hpt_;
TDirectory *dir;
TH2D * hMuPt;
if(dirName == "0") {
hMuPt = (TH2D*) file0->Get(histoName);
} else {
dir = (TDirectory*) file0->Get(dirName);
if(!dir) return hpt_;
hMuPt = (TH2D*) dir->Get(histoName);
}
if(hMuPt) {
hpt_ = (TH1*) hMuPt->Clone();
hpt_->Sumw2();
hpt_->Scale(1./lumi); // this take into into account the luminosity
hpt_->SetLineWidth(2);
hpt_->Rebin(nBin);
double nBinX=hpt_->GetNbinsX();
// overFlow
hpt_->SetBinContent((int)nBinX,hpt_->GetBinContent((int)nBinX)+hpt_->GetBinContent((int)nBinX+1));
hpt_->SetDirectory(0);
file0->Close();
hpt_->SetLineWidth(3);
}
return hpt_;
}
TProfile* GetMultTrgProfileX(int itrg)
{
TH2D* hmulttrg = (TH2D*) gInputfile->Get(Form("%smult_trg_%d",subdir.Data(),itrg));
hmulttrg->Rebin2D(8,1);
TProfile* hmulttrg_profx = (TProfile*)hmulttrg->ProfileX(Form("mult_trg_%d_profx",itrg),-1,-1);
return hmulttrg_profx;
}
void paint(TString a, TString b)
{
TChain *t = new TChain(a);
t->Add(a + "_" + b +".root");
std::cout << "painting the histograms for: " << a + "_" + b +".root" << std::endl;
TDirectory *dir = new TDirectory("dir", "dir");
dir->cd();
// histo = new TH2D("jets", "jets", 50, -2.5, 2.5, 60, 10, 610);
// histo = new TH2D("jets", "jets", 50, -2.5, 2.5, 40, 4.7004803657924166, 6.404803657924166);
// TH2D * histo = new TH2D("jets", "jets", 25, -2.5, 2.5, 20, 4.0943445622221004, 6.1943445622221004);
TH2D * histo = new TH2D("jets", "jets", 50, -2.5, 2.5, 40, 4.0943445622221004, 6.1943445622221004);//original
// TH2D * histo = new TH2D("jets", "jets", 50, -2.5, 2.5, 40, 4.0943445622221004, 7.8);
histo->SetDirectory(dir);
//the varexp part of the draw synatx means: draw log(jetPt+50) versus jetEta and append the existing ("+" -> avoid recreation) histogram called "jets"
//selection is an expression with a combination of the Tree variables -> no selection applied in this case ""
//option is the drawing option -> if option contains the string "goff", no graphics is generated.
//fourth and fifth arguments are: Int_t nevents, Int_t firstevent
t->Draw("log(jetPt+50):jetEta >> +jets", "", "Lego goff");
//std::cout <<"jetPt " << log(jetPt+50) << " and jetEta " << jetEta << std::endl;
std::cout << "saving the histograms: " << a + "_" + b +"_histo.root" << std::endl;
TFile g(a + "_" + b +"_histo.root", "RECREATE");
histo->SetDirectory(&g);
delete dir;
g.cd();
histo->Write();
g.Close();
}
TestProblem
MonteCarloConvolution(const int m,
const int n,
const double xm1,
const double xm2,
const double xt1,
const double xt2,
TF1 *truthFn,
TF1 *kernelFn,
const int nEvents)
{
static int id = 0; id++;
TestProblem t;
double dm = (xm2-xm1)/m;
double dt = (xt2-xt1)/n;
TMatrixD R(m,n);
// Discretize the kernel to fill R
for (int i=0; i<m; i++)
for (int j=0; j<n; j++)
R(i,j) = kernelFn->Eval(xt1+j*dt-i*dm);
t.Response = MatrixUtils::Matrix2Hist(R, Form("R%d",id), xm1, xm2, xt1, xt2);
t.Response->SetTitle(Form("%d x %d convolution matrix;"
"s (observed);t (true)", m, n));
TH2D *RMC = new TH2D(Form("R_MC%d",id), "A_{MC}",
m,xm1,xm2,n,xt1,xt2);
// Model a true and a measured distribution
// There is no bIdeal for this problem.
t.xTruth = new TH1D("hTrue", "", n, xt1, xt2);
t.xTruthEst = new TH1D("hTrueEst", "hTrueEst", n, xt1, xt2);
t.bNoisy = new TH1D("hMeas", "hMeas", m, xm1, xm2);
t.xTruthEst->Sumw2();
t.bNoisy->Sumw2();
for (Int_t i=0; i<nEvents; i++)
{
Double_t xt = truthFn->GetRandom();
t.xTruthEst->Fill(xt);
Double_t xm = xt + kernelFn->GetRandom();
t.bNoisy->Fill(xm);
RMC->Fill(xm,xt);
}
// MC efficiency histogram
t.eff = RMC->ProjectionY("eff",1,m);
t.eff->Divide(t.xTruthEst);
// Exact truth histogram
for (int j=1; j<=n; j++)
{
double val = truthFn->Eval(t.xTruth->GetBinCenter(j));
t.xTruth->SetBinContent(j, val);
}
t.xTruth->Scale(nEvents/t.xTruth->Integral());
return t;
}
/**
* Loads a histogram from a ROOT-file, scales it, and either returns it as \c
* returnedHistogram or adds it to \c returnedHistogram . The first if
* \c returnedHistogram is \c NULL otherwise the latter.
*
* @param histogramName
* name of the histogram.
* @param inputFilename
* name of the ROOT-file.
* @param scale
* scale factor for histogram.
* @param returnedHistogram
* the returned histogram (input, pass-by-reference does not work).
* @param debug
* switch on debug output, defaults to \c false
*
* @return
* the returned histogram (output, pass-by-reference does not work).
*/
void
LoadHistogramTH2D(const TString& histogramName, const TString& inputFilename, double scale, TH2D*& returnedHistogram, bool debug = false)
{
// {{{
TFile inputFile(inputFilename);
if (!inputFile.IsOpen())
{
cerr << "Could not open '" << inputFilename << "' for reading." << endl;
}
else
{
TH2D* histogram = dynamic_cast<TH2D*>( inputFile.Get(histogramName) );
if (!histogram)
{
cerr << "No histogram named '" << histogramName << "' in file '" << inputFilename << "'" << endl;
}
else
{
if (debug) cerr << inputFilename << " " << histogramName << " entries=" << histogram->GetEntries() << " integral=" << histogram->Integral() << " scale*integral=" << scale*histogram->Integral() << endl;
histogram->Scale(scale);
if (!returnedHistogram)
{
returnedHistogram = new TH2D(*histogram);
returnedHistogram->SetDirectory(0); // otherwise "TFile inputFile" owns this returnedHistogram and deletes it when "TFile inputFile" goes out of scope
}
else
{
returnedHistogram->Add(histogram);
}
}
inputFile.Close();
}
// }}}
};
void paint(TString dir, TString a, TString b)
{
TChain *t = new TChain(a);
t->Add(dir + a + "_" + b +".root");
std::cout << "painting the histograms for: " << dir + a + "_" + b +".root" << std::endl;
TDirectory *direc = new TDirectory("dir", "dir");
direc->cd();
TH2D * histo = new TH2D("jets", "jets", 50, -2.5, 2.5, 40, 4.17438727, 6.95654544315);//pt starting from 15 and until 1000
histo->SetDirectory(direc);
t->Draw("log(jetPt+50):jetEta >> +jets", "", "Lego goff");
TH2D * histo_lin = new TH2D("jets_lin", "jets_lin", 50, -2.5, 2.5, 40, 15, 1000);//pt starting from 15 and until 1000
t->Draw("jetPt:jetEta >> +jets_lin", "", "Lego goff");
std::cout << "saving the histograms: " << a + "_" + b +"_histo.root" << std::endl;
TFile g(a + "_" + b +"_histo.root", "RECREATE");
histo->SetDirectory(&g);
histo_lin->SetDirectory(&g);
delete direc;
g.cd();
histo->Write();
histo_lin->Write();
g.Close();
}
void plotTowers_dj(
TString inFile0Name="~/scratch01/ana/Hydj_BSC_HF_L1Emul/oh0928_v2/openhlt_hiReco_RAW2DIGI_RECO_*_djana.root",
TString outdir = "out/Hydj/BSC_HF_L1Emul/devHLT381")
{
TChain * djTree = new TChain("dijetAna_data_calojet_tower/djTree");
djTree->Add(inFile0Name);
aliases_dj(djTree);
cout << " # entries: " << djTree->GetEntries() << endl;
gSystem->mkdir(outdir.Data(),kTRUE);
Int_t NTowerMax=70;
pair<TString,TString> t = make_pair("name","cut");
vector<pair<TString,TCut> > trigs;
trigs.push_back(make_pair("All","1==1"));
trigs.push_back(make_pair("HfAnyHit","hlt[2]"));
trigs.push_back(make_pair("HfCoic1","hlt[3]"));
trigs.push_back(make_pair("HfCoic2","hlt[4]"));
for (unsigned int i=0; i<trigs.size(); ++i) {
TCanvas * cHfNvsP = new TCanvas("HfNvsP_"+trigs[i].first,"HfNvsP_"+trigs[i].first,500,500);
//cHfNvsP->SetLogx();
//cHfNvsP->SetLogy();
TH2D * hHfNvsP = new TH2D("hHfNvsP"+trigs[i].first,"hHfNvsP_",NTowerMax,0,NTowerMax,NTowerMax,0,NTowerMax);
hHfNvsP->SetAxisRange(0.1,400,"X");
hHfNvsP->SetAxisRange(0.1,400,"Y");
djTree->Draw("NHfN:NHfP>>hHfNvsP"+trigs[i].first,trigs[i].second,"colz");
hHfNvsP->SetTitle("HF Towers;# HF+ Towers (E>3GeV);# HF- Towers (E>3GeV)");
cHfNvsP->Print(Form("%s/trHfNvsP_%s.gif",outdir.Data(),trigs[i].first.Data()));
}
}
void CaloHitAna::DrawPID(bool cut)
{
if (fChain == 0) return;
TH2D *hpid = new TH2D("qpid", "QPID", 250, 0, 4E5, 250, 0, 4E5);
TCutG *cut_proton = NULL;
if(cut)
{
TFile *f = TFile::Open("qpid_cuts.root", "read");
cut_proton = dynamic_cast<TCutG*>(f->Get("qpid_proton"));
}
Long64_t nentries = fChain->GetEntriesFast();
Long64_t nbytes = 0, nb = 0;
int i;
for (Long64_t jentry=0; jentry<nentries;jentry++)
{
Long64_t ientry = LoadTree(jentry);
if (ientry < 0) break;
nb = fChain->GetEntry(jentry); nbytes += nb;
for(i = 0; i < CaloHit_; i++)
{
if(!cut_proton || cut_proton->IsInside(CaloHit_fNf[i], CaloHit_fNs[i]))
hpid->Fill(CaloHit_fNf[i], CaloHit_fNs[i]);
}
}
hpid->Draw("colz");
}
TH1* processFile(TString fname, double scaleFactor){
static int hcounter=0;
cout<<"Doing fname="<<fname<<endl;
TFile *_file2 = TFile::Open(fname);
PS->cd();
TString plot = "lLV[0].lpfIso:lLV[0].fP.Eta()";
TString hname = Form("h%i",hcounter);
jets2p->Draw(plot +" >> " + hname+"(24,-3,3,100,0,2)","","qn");
TH2D *aux = (TH2D*)gDirectory->Get(hname);
//aux->Scale(scaleFactor);
TH1D * ss = aux->ProjectionX(hname+"ss",1,10); // signal region
TH1D * ni = aux->ProjectionX(hname+"ni",16,100);// nonIso region (use 11
//cout<<"h="<<hcounter<<" ss="<<ss->GetEntries()<<" ni="<<ni->GetEntries()<<endl;
TString statis = Form("( %i / %i )",(int)ss->GetEntries(),(int)ni->GetEntries());
ss->Divide(ni);
ss->GetYaxis()->SetTitle(TString("N_{signal}/N_{nonIso}")+statis);
ss->GetXaxis()->SetTitle("#eta");
hcounter++;
return ss;
}
TGraph* getContourFilledX(TH2D* inputHisto, TCanvas* goodCanvas, int Width, int Style, int FillStyle, double X){
TCanvas* c1 = new TCanvas("temp", "temp",600,600);
TH2D* histo = (TH2D*)inputHisto->Clone("temp");
double levels[] = {X};
histo->SetContour(1, levels);
histo->Draw("CONT LIST");
c1->Update();
TObjArray* contours = (TObjArray*)gROOT->GetListOfSpecials()->FindObject("contours");
Int_t ncontours = contours->GetSize();
TList *list = (TList*)contours->At(0);
delete c1;
goodCanvas->cd();
printf("list size = %i\n", (int)list->GetSize());
if(list->GetSize()<=0)return new TGraph(0);
for(unsigned int i=0;i<list->GetSize();i++){
TGraph* EXCLUSION = (TGraph*)(list->At(i)->Clone("copy"));
EXCLUSION->SetLineColor(1);
EXCLUSION->SetLineWidth(Width);
EXCLUSION->SetLineStyle(Style);
EXCLUSION->SetFillColor(kBlack);
EXCLUSION->SetFillStyle(FillStyle);
//EXCLUSION->Draw("CL F same");
}
return EXCLUSION;
}
void PlotCh2D(int run) {
etf.SetPath(mypath.Data());
etf.Open(run);
int maxch = MAXCH*MAXRIO;
TH2D* h = MakeHist("hnch",maxch,maxch);
for (int i=0;i<etf.GetNumEvents();i++) {
etf.GetEvent(i);
int nch = 0;
int ch1 = -1, ch2 = -1;
for (int ch=0;ch<maxch;ch++) {
if (etf.myEvent.E[ch] > 0) {
nch++;
if (ch1 == -1)
ch1 = ch;
else if (ch2 == -1)
ch2 = ch;
}
}
if (nch > 1)
for (int ch=0;ch<maxch;ch++) {
if (etf.myEvent.E[ch] > 0) {
h->Fill(ch1,ch2);
}
}
}
h->Draw("COLZ");
}
void multi_palette() {
gStyle->SetOptStat(0);
TCanvas* can = new TCanvas("can", "can", 400, 600);
can->Divide(2, 3, 1e-10, 1e-10);
TH2D* hist = new TH2D("hist", "", 50, -5, 5, 50, -5, 5);
hist->SetContour(100);
for (int i = 0; i < 100000; ++i) {
double x = gRandom->Gaus();
double y = gRandom->Gaus();
hist->Fill(x, y);
} // i
gROOT->ProcessLine(".L color_def.C");
TExec* exe[6];
exe[0] = new TExec("ex0", "gStyle->SetPalette(0);");
exe[1] = new TExec("ex1", "gStyle->SetPalette(1);");
exe[2] = new TExec("ex2", "GrayPalette();");
exe[3] = new TExec("ex3", "GrayInvPalette();");
exe[4] = new TExec("ex4", "BPalette();");
exe[5] = new TExec("ex5", "RBPalette();");
for (int i = 0; i < 6; ++i) {
gPad = can->cd(i + 1);
hist->Draw("axis z");
exe[i]->Draw();
hist->Draw("same colz");
gPad->Update();
} // i
}
void erfFit(pair<int, double> bump, vector<pair<int, double> > shower,
TH1D* energyResoX, TH1D* energyResoY, TH1D* posResoX,
TH1D* posResoY)
{
TF1* erfX = new TF1("erfX", erfPulse, -5, 5, 3);
erfX->SetParameters(IDtoX(bump.first), 1., bump.second);
TF1* erfY = new TF1("erfY", erfPulse, -5, 5, 3);
erfY->SetParameters(IDtoY(bump.first), 1., bump.second);
TH2D* histo = new TH2D("histo", "ShowerFit",
11, -5, 5,
11, -5, 5);
vector<pair<int, double> >::iterator b;
for (b=shower.begin(); b!=shower.end(); b++)
{
histo->Fill(IDtoX(b->first), IDtoY(b->first), b->second);
}
TH1D* histoX = histo->ProjectionX();
TH1D* histoY = histo->ProjectionY();
histoX->Fit(erfX, "Q");
energyResoX->Fill(erfX->Integral(-5, 5)-energyGamma);
posResoX->Fill(erfX->GetParameter(0));
histoY->Fit(erfY, "Q");
energyResoY->Fill(erfY->Integral(-5, 5)-energyGamma);
posResoY->Fill(erfY->GetParameter(0));
`
}
TProfile* GetMultAssProfileX(int jass)
{
TH2D* hmultass = (TH2D*) gInputfile->Get(Form("%smult_ass_%d",subdir.Data(),jass));
hmultass->Rebin2D(8,1);
TProfile* hmultass_profx = (TProfile*)hmultass->ProfileX(Form("mult_ass_%d_profx",jass),-1,-1);
return hmultass_profx;
}
TH2D * rootstuff::newTH2D(char *name,char *comment,__int32 xbins,double xmin,double xmax,char *titelx,__int32 ybins,double ymin,double ymax,char *titely,char *option)
{
TH2D * hist;
hist = new TH2D(name,comment,xbins,xmin,xmax,ybins,ymin,ymax);
hist->SetOption(option);
hist->GetXaxis()->SetTitle(titelx);
hist->GetYaxis()->SetTitle(titely);
return hist;
}
void Occupancy::postProcessing()
{
if (_postProcessed) return;
// Generate the bounds of the 1D occupancy hist
unsigned int totalHits = 0;
unsigned int maxHits = 0;
for (unsigned int nsens = 0; nsens < _device->getNumSensors(); nsens++)
{
Mechanics::Sensor* sensor = _device->getSensor(nsens);
TH2D* occ = _hitOcc.at(nsens);
for (unsigned int x = 0; x < sensor->getNumX(); x++)
{
for (unsigned int y = 0; y < sensor->getNumY(); y++)
{
const unsigned int numHits = occ->GetBinContent(x + 1, y + 1);
totalHits += numHits;
if (numHits > maxHits) maxHits = numHits;
}
}
}
TDirectory* plotDir = makeGetDirectory("Occupancy");
std::stringstream name;
std::stringstream title;
name << "OccupancyDistribution";
title << "Occupancy Distribution";
_occDistribution = new TH1D(name.str().c_str(), title.str().c_str(),
100, 0, (double)maxHits / (double)totalHits);
_occDistribution->SetDirectory(_dir);
_occDistribution->GetXaxis()->SetTitle("Hits per trigger");
_occDistribution->GetYaxis()->SetTitle("Pixels");
_occDistribution->SetDirectory(plotDir);
// Fill the occupancy distribution
for (unsigned int nsens = 0; nsens < _device->getNumSensors(); nsens++)
{
Mechanics::Sensor* sensor = _device->getSensor(nsens);
TH2D* occ = _hitOcc.at(nsens);
for (unsigned int x = 0; x < sensor->getNumX(); x++)
{
for (unsigned int y = 0; y < sensor->getNumY(); y++)
{
const unsigned int numHits = occ->GetBinContent(x + 1, y + 1);
_occDistribution->Fill((double)numHits / (double)totalHits);
}
}
}
_postProcessed = true;
}
void PlotImages()
{
gStyle->SetOptStat(0);
gStyle->SetPadRightMargin(0.2);
string filename[1];
char buffer[100];
char buffertext[100];
for (int seed=55; seed<56; seed++)
{
int n=sprintf(buffer, "/home/les67/locust_faketrack_waterfall.root");
const char *file = buffer;
TFile* f = TFile::Open(file);
if (!((!f)||f->IsZombie()))
{
TH2D* hspectrogram = GetSpectrogram(file);
TH2D* hlabels = GetLabels(hspectrogram, 40e-21); // threshold for labeling goes here.
// TGraph* grlabels = GetLabelGraph(hlabels);
// PrintLabels(grlabels); // print labels to terminal.
hspectrogram->GetXaxis()->SetRangeUser(0.,0.02);
hspectrogram->GetYaxis()->SetRangeUser(149.e6, 170.e6);
TCanvas *c = new TCanvas;
n=sprintf(buffertext, "hspectrogram_%d.png", seed);
const char *pngname = buffertext;
hspectrogram->GetYaxis()->SetTitleOffset(1.25);
hspectrogram->DrawCopy("colz");
/*
grlabels->SetMarkerColor(2);
grlabels->SetMarkerStyle(8);
grlabels->SetMarkerSize(0.6);
grlabels->SetLineWidth(3.);
grlabels->SetLineColor(2);
grlabels->Draw("psame");
*/
/*
TImage *img = TImage::Create();
img->FromPad(c);
img->WriteImage(pngname);
delete img;
delete hspectrogram;
delete c;
*/
f->Close();
}
}
}
TH2D* combinePlots(std::vector<TH2D*> plots, std::vector<double> scalingFactors) {
TH1::SetDefaultSumw2();
TH2D* h = (TH2D*)plots[0]->Clone(plots[0]->GetName());
h->Scale(scalingFactors[0]);
for (unsigned i = 1; i < plots.size(); i++) {
h->Add(plots[i], scalingFactors[i]);
}
return h;
}
TMatrixD convertHistToMatrix(const TH2D& from)
{
TMatrixD matrix(from.GetNbinsX(),from.GetNbinsY());
for (int row=0; row<from.GetNbinsX();++row){
for (int col=0; col<from.GetNbinsY(); ++col) {
(matrix)[row][col]=(from).GetBinContent(row+1,col+1);
}
}
return matrix;
}
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 Yield1S(){
TFile *f = new TFile("Upsilon_2D_10ptbins.root");
TH2D *H;
H = (TH2D*)gFile->Get("fS1Yield");
double tot(0.); double totE(0.);
ofstream OUT("Yield_1S.tex");
OUT << "% ----------------------------------------------------------------------" << endl;
OUT << "% -- Yields" << endl;
for ( int x = 1; x <= H->GetNbinsX(); ++x ){
OUT << Form("\\vdef{%iS_Rap_bin%iLowEdge} {\\ensuremath{ {%.1f } } }",1, x, H->GetXaxis()->GetBinLowEdge(x) ) << endl;
if ( x == H->GetNbinsX() ) OUT << Form("\\vdef{%iS_Rap_bin%iHighEdge} {\\ensuremath{ {%.1f } } }",1 , x, H->GetXaxis()->GetBinUpEdge(x) ) << endl;
//OUT << Form("\\vdef{%iS_bin%iContent} {\\ensuremath{ {%.0f } } }",1, x, H->GetBinContent(x) ) << endl;
//OUT << Form("\\vdef{%iS_bin%iError} {\\ensuremath{ {%.0f } } }",1, x, H->GetBinError(x) ) << endl;
}
for ( int x = 1; x <= H->GetNbinsY(); ++x ){
OUT << Form("\\vdef{%iS_Pt_bin%iLowEdge} {\\ensuremath{ {%.1f } } }",1, x, H->GetYaxis()->GetBinLowEdge(x) ) << endl;
if ( x == H->GetNbinsY() ) OUT << Form("\\vdef{%iS_Pt_bin%iHighEdge} {\\ensuremath{ {%.1f } } }",1 , x, H->GetYaxis()->GetBinUpEdge(x) ) << endl;
}
for ( int x = 1; x <= H->GetNbinsX(); ++x ){
for ( int y = 1; y <= H->GetNbinsY(); ++y ){
OUT << Form("\\vdef{Yield%iS_bin%i_%iContent} {\\ensuremath{ {%.0f } } }",1, x, y, H->GetCellContent(x,y) ) << endl;
OUT << Form("\\vdef{Yield%iS_bin%i_%iError} {\\ensuremath{ {%.0f } } }",1, x, y, H->GetCellError(x,y) ) << endl;
}
}
OUT.close();
}
///
/// Cleo histogram for kD, dD
///
void PDF_D_Cleo::buildPdfHistogram()
{
RooMsgService::instance().setGlobalKillBelow(WARNING);
TString fName = this->dir+"/ExpNll/CLEO_K3PiScan_2009_GaussianRise_pdf2.root";
TString hName = "hPdf";
obsValSource += ", "+fName;
obsErrSource += ", "+fName;
corSource += ", "+fName;
if ( !FileExists(fName) ) {
cout << "PDF_D_CleoNoK2pi::buildPdfHistogram() : ERROR : File not found : " << fName << endl;
exit(1);
}
TFile *fExpNll = new TFile(fName, "ro");
TH2D *hExpNll = (TH2D*)fExpNll->Get(hName);
assert(hExpNll);
// hExpNll->Scale(1./1.3027449); // scale so best fit value gives chi2=0.
hExpNll->Scale(1./0.858588); // scale so best fit value gives chi2=0: run bin/unittests which fits PDFs to minimum. The factor is 1/min.
RooRealVar *x_hist = new RooRealVar("x_cleo_k3pi_hist", "x_cleo_k3pi_hist", 0, -1e4, 1e4);
RooRealVar *y_hist = new RooRealVar("y_cleo_k3pi_hist", "y_cleo_k3pi_hist", 0, -1e4, 1e4);
RooDataHist *dhExpNll = new RooDataHist("dh_cleo_k3pi", "dh_cleo_k3pi", RooArgList(*x_hist,*y_hist), Import(*hExpNll));
RooRealVar *kD_k3pi_obs = (RooRealVar*)observables->find("kD_k3pi_obs");
RooRealVar *kD_k3pi_th = (RooRealVar*)theory->find("kD_k3pi_th");
RooRealVar *dD_k3pi_obs = (RooRealVar*)observables->find("dD_k3pi_obs");
RooRealVar *dD_k3pi_th = (RooRealVar*)theory->find("dD_k3pi_th");
RooHistPdfVar *kD_pdf = new RooHistPdfVar("kD_cleo_k3pi_pdf", "kD_cleo_k3pi_pdf", *kD_k3pi_obs, *kD_k3pi_th, RooConst(0.3325)); // those precise shifts I got from zooming into the exp nll histogram
RooHistPdfAngleVar *dD_pdf = new RooHistPdfAngleVar("dD_cleo_k3pi_pdf", "dD_cleo_k3pi_pdf", *dD_k3pi_obs, *dD_k3pi_th, RooConst(1.9984));
RooHistPdf *pdf_kDdD = new RooHistPdf("pdf_cleo_kDdD_k3pi", "pdf_cleo_kDdD_k3pi", RooArgList(*kD_pdf,*dD_pdf), RooArgList(*x_hist,*y_hist), *dhExpNll, 1);
// Re-use the full multivariate Gaussian for the rest
// blow up errors of kD and dD
float largeNumber = 50.;
StatErr[ 0] *= largeNumber; // kD_k3pi_obs
StatErr[ 1] *= largeNumber; // dD_k3pi_obs
buildCov();
RooMultiVarGaussian *pdf_gaus = new RooMultiVarGaussian("pdf_cleo_gaus", "pdf_cleo_gaus", *(RooArgSet*)observables, *(RooArgSet*)theory, covMatrix);
// reset errors so that the pull plot remains correct
StatErr[ 0] /= largeNumber; // kD_k3pi_obs
StatErr[ 1] /= largeNumber; // dD_k3pi_obs
// multiply both
pdf = new RooProdPdf("pdf_"+name, "pdf_"+name, RooArgSet(*pdf_kDdD, *pdf_gaus));
fExpNll->Close();
RooMsgService::instance().setGlobalKillBelow(INFO);
// addToTrash(fExpNll); ///< these two get cleaned by fExpNll->Close();
// addToTrash(hExpNll);
addToTrash(x_hist);
addToTrash(y_hist);
addToTrash(dhExpNll);
addToTrash(kD_pdf);
addToTrash(dD_pdf);
addToTrash(pdf_kDdD);
addToTrash(pdf_gaus);
}
TH1D* GetRawBackground1D(int itrg, int jass)
{
TH2D* hbackground = (TH2D*) GetRawBackground2D(itrg,jass);
TH1D* hbackphi = (TH1D*)hbackground->ProjectionY(Form("backphi_trg%d_ass%d",itrg,jass),hbackground->GetXaxis()->FindBin(detaprojmin),hbackground->GetXaxis()->FindBin(detaprojmax),"e");
hbackphi->Scale(hbackground->GetXaxis()->GetBinWidth(1));
hbackphi->GetXaxis()->CenterTitle();
hbackphi->GetYaxis()->CenterTitle();
hbackphi->SetYTitle("B(#Delta#phi)");
hbackphi->SetName(Form("backphi_scale_trg%d_ass%d",itrg,jass));
return hbackphi;
}
TH1D* GetRawSignal1D(int itrg, int jass)
{
TH2D* hsignal = GetRawSignal2D(itrg,jass);
TH1D* hsignalphi = (TH1D*)hsignal->ProjectionY(Form("signalphi_trg%d_ass%d",itrg,jass),hsignal->GetXaxis()->FindBin(detaprojmin),hsignal->GetXaxis()->FindBin(detaprojmax),"e");
hsignalphi->Scale(hsignal->GetXaxis()->GetBinWidth(1));
hsignalphi->GetXaxis()->CenterTitle();
hsignalphi->GetYaxis()->CenterTitle();
hsignalphi->SetYTitle("S(#Delta#phi)");
hsignalphi->SetName(Form("signalphi_scale_trg%d_ass%d",itrg,jass));
return hsignalphi;
}
void drawDist(const char* infilename, const char* system, Int_t rWrite, Int_t rPerformance) {
myOptions(0);
gROOT->ForceStyle();
gStyle->SetPalette(1.0);
TDatime now;
int iDate = now.GetDate();
int iYear=iDate/10000;
int iMonth=(iDate%10000)/100;
int iDay=iDate%100;
char* cMonth[12]={"Jan","Feb","Mar","Apr","May","Jun",
"Jul","Aug","Sep","Oct","Nov","Dec"};
char cStamp1[25],cStamp2[25];
sprintf(cStamp1,"%i %s %i",iDay, cMonth[iMonth-1], iYear);
sprintf(cStamp2,"%i/%.2d/%i",iDay, iMonth, iYear);
TFile *f = new TFile(infilename, "read");
// TList *list = (TList*)f->Get("femtolist");
// pseudorapidity vs pt
TH2D* ypt =(TH2D*)f->Get(Form("EtaPtcutPass1%stpcM%i",system,0));
int minMultBin = 0;
int maxMultBin = 6;
double EvMultall = 0;
for(int i = minMultBin; i < maxMultBin; i++) {
TH1D* yptN =(TH1D*)f->Get(Form("EtaPtcutPass1%stpcM%i",system,i));
ypt->Add(yptN);
//delete hEvMult;
}
TCanvas *c2 = new TCanvas("pseudorapidity vs pt", "pseudorapidity vs pt");
c2->SetGridx();
c2->SetGridy();
c2->SetFillColor(10);
ypt->GetXaxis()->SetTitle("#eta");
ypt->GetYaxis()->SetTitle("p_{T}");
ypt->GetXaxis()->SetTitleOffset(1.3);
ypt->GetYaxis()->SetTitleOffset(1.3);
ypt->GetXaxis()->SetRangeUser(-0.8,0.8);
ypt->GetYaxis()->SetRangeUser(0.1,8.);
ypt->Draw("colz");
// https://wiki.bnl.gov/eic/index.php/ROOT#Moving_and_resizing_the_palette_axis_of_a_2D_histogram
gPad->SetRightMargin( 0.12 ); // The default right margin is 0.1 i.e. 10% of the image width
// TPaletteAxis* palette
// = dynamic_cast<TPaletteAxis*>( myHistogram.GetListOfFunctions()->FindObject( "palette" ) );
// if( palette ) {
// palette->SetX1NDC( 0.86 ); // Start the palette 86 % of the way across the image
// palette->SetX1NDC( 0.91 ); // End the palette 91% of the way across the image
// gPad->Modified(); // Update with the new position
// } // if
postprocess(c2,Form("ypt%s",system),rWrite,rPerformance);
}
