void MoveTransformMatric(TString inFileName, TString matrixName)
{
TFile inFile(inFileName);
TH2D *transform = (TH2D*) inFile.Get(matrixName);
TFile outFile("PreparedTransformMatrices.root","update");
if(transform) {
outFile.cd();
transform->RebinX(4);
transform->RebinY(4);
transform->Write(transform->GetName(), TObject::kOverwrite);
}
else cout<<"Could not find matrix with that name"<<endl;
outFile.Close();
inFile.Close();
}
//loads phi-pT efficiency from root file
TH2D *GetEfficiencyPhi(TString effLoc){
TFile *fIn = 0;
TH2D *hPhiPt = 0;
if(!fIn)fIn = TFile::Open(effLoc.Data());
if(!fIn)Printf("%s%d no input data",(char*)__FILE__,__LINE__);
if(!hPhiPt)hPhiPt = (TH2D*)fIn->Get("h2TrackPtPhiNorm");
if(!hPhiPt) cout<<"Could not load h2TrackPtPhiNorm"<<endl;
if(!hPhiPt)Printf("%s%d no phi-pt efficiency spectrum available",(char*)__FILE__,__LINE__);
gROOT->cd();
TH2D *hPhiPtClone = (TH2D*)hPhiPt->Clone(hPhiPt->GetName());
fIn->Close();
return hPhiPtClone;
}
void pidFitter::processSpecies( string species, int charge, reporter * rp ){
cout << "[pidFitter." << __FUNCTION__ << "]" << endl;
string hName = "nSig_" + sName( species, charge );
// get the pt Binning
vector<double>pBins = config->getDoubleVector( "binning.p" );
string useNode = "";
TH3* h3 = book->get3D( hName );
int nFits = config->getInt( species + "_Fit:nFits", 1 );
cout << "Number of Fit Categories: " << nFits << endl;
for ( int iFit = 1; iFit <= nFits; iFit++ ){
string optPath = species + "_Fit.opt" + config->getString( species + "_Fit.fit"+ts(iFit)+":options");
int fBin = config->getInt( species + "_Fit.fit"+ts(iFit)+":min", 1 );
int lBin = config->getInt( species + "_Fit.fit"+ts(iFit)+":max", pBins.size() );
cout << "Fitting P bins ( " << fBin << " --> " << lBin << " ) " << endl;
for ( int i = fBin; i <= lBin; i ++ ){
// get the Pt range for title etc.
double pLow = h3->GetZaxis()->GetBinLowEdge( i );
double pHi = h3->GetZaxis()->GetBinLowEdge( i + 1 );
// look at one Pt bin at a time
h3->GetZaxis()->SetRange( i, i );
// Get the 2D projection we want
TH2D* proj;
proj = (TH2D*)h3->Project3D( "xy" );
string name = proj->GetName();
TH2D* cut = (TH2D*) proj->Clone( (name + "cut").c_str() );
rp->newPage( 1, 2 );
proj->SetTitle( ( ts( pLow, 4 ) + " #leq " + " P #leq" + ts( pHi, 4 ) ).c_str() );
gPad->SetLogz( 1 );
proj->Draw( "colz" );
//nProj->Draw("colz");
// process the square cuts
makeSquareCuts( cut, optPath + ".squareCut" );
// draw the distribution after square cuts
rp->cd( 1, 2 );
gPad->SetLogz( 1 );
cut->SetTitle( ( "After 1D Cuts : " + ts( pLow, 4 ) + " #leq " + " P #leq" + ts( pHi, 4 ) ).c_str() );
cut->Draw( "colz" );
rp->savePage( );
// fit using the dkl algorithm
if ( config->nodeExists( optPath + ".dkl" ) )
runDkl( cut, rp, optPath );
// runs the 2d gaussian fit
else if ( config->nodeExists( optPath + ".mgf" ) )
runMultiGauss( cut, rp, species, optPath, i );
}
}
}
void readroot(char* input="/gpfs/mnt/gpfs02/phenix/mpcex/liankun/Run16/Ana/offline/analysis/mpcexcode/Liankun/macro/offline_monitor/453692/Run16Ana_MinBias_NoCMN_Sub-453692-0.root"){
char input_file[5000];
strcpy(input_file,input);
strtok(input_file, "-");
int runnumber = atoi(strtok(0, "-"));
int segment = atoi(strtok(strtok(0, "-"), "."));
cout<<"Run Number: "<<runnumber<<" segment: "<<segment<<endl;
gSystem->Load("libMyMpcEx.so");
TFile* ifile = new TFile(input,"READONLY");
if(!ifile){
cout<<"Open "<<input<<" failed !"<<endl;
return;
}
TH2D* hkey_adc_high;
TH2D* hkey_adc_low;
TH2D* hkey_rawadc_high;
TH2D* hkey_rawadc_low;
TH2D* hHL_sensor[2][8][24];
TH2D* hHL_sensor_raw[2][8][24];
Exogram* hgrammy_high[2];
Exogram* hgrammy_low[2];
Exogram* hgrammy_combine[2];
TH2D* hadc_mpc_e[2];
TH2D* hlayer_adc_high[2];
TH2D* hlayer_adc_low[2];
TH2D* htower_e;
TH2D* hbbc_adc[2];
TH2D* hbbc_adc_low[2];
TH2D* hbbc_nhits[2];
char hname[500];
vector<TH2D*> h2d_list;
hkey_adc_high = (TH2D*)ifile->Get("hkey_adc_high");
h2d_list.push_back(hkey_adc_high);
hkey_adc_low = (TH2D*)ifile->Get("hkey_adc_low");
h2d_list.push_back(hkey_adc_low);
hkey_rawadc_high = (TH2D*)ifile->Get("hkey_rawadc_high");
h2d_list.push_back(hkey_rawadc_high);
hkey_rawadc_low = (TH2D*)ifile->Get("hkey_rawadc_low");
h2d_list.push_back(hkey_rawadc_low);
hbbc_nhits[0] = (TH2D*)ifile->Get("hbbc_nhits_arm0");
hbbc_nhits[1] = (TH2D*)ifile->Get("hbbc_nhits_arm1");
h2d_list.push_back(hbbc_nhits[0]);
h2d_list.push_back(hbbc_nhits[1]);
hbbc_adc[0] = (TH2D*)ifile->Get("hbbc_adc_arm0");
hbbc_adc[1] = (TH2D*)ifile->Get("hbbc_adc_arm1");
h2d_list.push_back(hbbc_adc[0]);
h2d_list.push_back(hbbc_adc[1]);
hbbc_adc_low[0] = (TH2D*)ifile->Get("hbbc_adc_low_arm0");
hbbc_adc_low[1] = (TH2D*)ifile->Get("hbbc_adc_low_arm1");
h2d_list.push_back(hbbc_adc_low[0]);
h2d_list.push_back(hbbc_adc_low[1]);
hlayer_adc_high[0] = (TH2D*)ifile->Get("hlayer_adc_high_arm0");
hlayer_adc_high[1] = (TH2D*)ifile->Get("hlayer_adc_high_arm1");
h2d_list.push_back(hlayer_adc_high[0]);
h2d_list.push_back(hlayer_adc_high[1]);
hlayer_adc_low[0] = (TH2D*)ifile->Get("hlayer_adc_low_arm0");
hlayer_adc_low[1] = (TH2D*)ifile->Get("hlayer_adc_low_arm1");
h2d_list.push_back(hlayer_adc_low[0]);
h2d_list.push_back(hlayer_adc_low[1]);
htower_e = (TH2D*)ifile->Get("htower_e");
h2d_list.push_back(htower_e);
hadc_mpc_e[0] = (TH2D*)ifile->Get("hadc_mpc_e_arm0");
hadc_mpc_e[1] = (TH2D*)ifile->Get("hadc_mpc_e_arm1");
h2d_list.push_back(hadc_mpc_e[0]);
h2d_list.push_back(hadc_mpc_e[1]);
for(unsigned int i = 0;i < h2d_list.size();i++){
string s = h2d_list[i]->GetName();
stringstream ss("");
ss<<s<<"_"<<runnumber<<"_"<<segment;
s=ss.str();
// cout << s <<endl;
TCanvas* c = new TCanvas(s.c_str(),s.c_str(),1200,800);
c->SetLogz();
h2d_list[i]->Draw("colz");
ss.str("");
ss << runnumber <<"/"<<s<<".gif";
s=ss.str();
c->Print(s.c_str(),"gif");
delete c;
}
vector<Exogram*> hexo_list;
hgrammy_high[0] = (Exogram*)ifile->Get("hgrammy_high0");
hgrammy_high[1] = (Exogram*)ifile->Get("hgrammy_high1");
hexo_list.push_back(hgrammy_high[0]);
hexo_list.push_back(hgrammy_high[1]);
hgrammy_low[0] = (Exogram*)ifile->Get("hgrammy_low0");
hgrammy_low[1] = (Exogram*)ifile->Get("hgrammy_low1");
hexo_list.push_back(hgrammy_low[0]);
hexo_list.push_back(hgrammy_low[1]);
hgrammy_combine[0] = (Exogram*)ifile->Get("hgrammy_combine0");
hgrammy_combine[1] = (Exogram*)ifile->Get("hgrammy_combine1");
hexo_list.push_back(hgrammy_combine[0]);
hexo_list.push_back(hgrammy_combine[1]);
for(unsigned int i = 0;i < hexo_list.size();i++){
string s = hexo_list[i]->GetName();
stringstream ss("");
ss<<s<<"_"<<runnumber<<"_"<<segment;
s=ss.str();
TCanvas* c = new TCanvas(s.c_str(),s.c_str(),1400,800);
c->Divide(4,2);
double max = hexo_list[i]->GetBinContent(hexo_list[i]->GetMaximumBin());
for(unsigned int j = 0;j < 8;j++){
c->cd(j+1);
TPad *pd =(TPad*)c->cd(j+1);
pd->SetLogz();
hexo_list[i]->SetAxisRange(j,j,"z");
TH2D* htemp = hexo_list[i]->Project3D("yx");
string tmp_s = htemp->GetName();
stringstream tmp_ss("");
tmp_ss<<tmp_s<<"_"<<"layer"<<j;
tmp_s = tmp_ss.str();
htemp->SetName(tmp_s.c_str());
htemp->SetMaximum(max);
htemp->Draw("colz");
}
ss.str("");
ss << runnumber <<"/"<<s<<".gif";
s=ss.str();
c->Print(s.c_str(),"gif");
delete c;
}
for(int iarm = 0;iarm < 2;iarm++){
for(int ilayer = 0;ilayer < 8;ilayer++){
for(int isen = 0;isen< 24;isen++){
char hname[500];
sprintf(hname,"hHL_sensor_arm%d_layer%d_sensor%d",iarm,ilayer,isen);
hHL_sensor[iarm][ilayer][isen] = (TH2D*)ifile->Get(hname);
sprintf(hname,"hHL_sensor_raw_arm%d_layer%d_sensor%d",iarm,ilayer,isen);
hHL_sensor_raw[iarm][ilayer][isen] = (TH2D*)ifile->Get(hname);
}
}
}
//sensor adc for each layer
double max_sensor_x[2][8][24] = {{{0.}}};
double max_sensor_y[2][8][24] = {{{0.}}};
double min_sensor_x[2][8][24] = {{{0.}}};
double min_sensor_y[2][8][24] = {{{0.}}};
TH1D* hsensor_high[2][8][24];
TH1D* hsensor_low[2][8][24];
for(int iarm = 0;iarm < 2;iarm++){
for(int ilayer = 0;ilayer < 8;ilayer++){
for(int isen = 0;isen < 24;isen++){
char name[100];
sprintf(name,"hsensor_arm%d_layer%d_index%d_high",iarm,ilayer,isen);
hsensor_high[iarm][ilayer][isen] = new TH1D(name,name,300,-40.5,259.5);
sprintf(name,"hsensor_arm%d_layer%d_index%d_low",iarm,ilayer,isen);
hsensor_low[iarm][ilayer][isen] = new TH1D(name,name,300,-40.5,259.5);
max_sensor_x[iarm][ilayer][isen] = -9999;
max_sensor_y[iarm][ilayer][isen] = -9999;
min_sensor_x[iarm][ilayer][isen] = 9999;
min_sensor_y[iarm][ilayer][isen] = 9999;
}
}
}
ifstream sensor_pos("sensor_position.txt");
string s;
while(getline(sensor_pos,s)){
stringstream ss(s);
int arm = 0;
int layer = 0;
int sensor = 0;
double x0=0;
double x1=0;
double y0=0;
double y1=0;
ss>>arm>>layer>>sensor>>x0>>x1>>y0>>y1;
// cout <<arm <<" "<<layer<<" "<<sensor<<" "<<x0<<" "<<x1<<" "<<y0<<" "<<y1<<endl;
max_sensor_x[arm][layer][sensor] = x1;
min_sensor_x[arm][layer][sensor] = x0;
max_sensor_y[arm][layer][sensor] = y1;
min_sensor_y[arm][layer][sensor] = y0;
}
MpcExMapper* mapper = MpcExMapper::instance();
for(unsigned int i = 0;i < 50000;i++){
hkey_adc_high->SetAxisRange(i,i,"X");
hkey_adc_low->SetAxisRange(i,i,"X");
TH1D* htemp0 = hkey_adc_high->ProjectionY();
TH1D* htemp1 = hkey_adc_low->ProjectionY();
if(htemp0->GetEntries() < 10) continue;
int arm = mapper->get_arm(i);
int quadrant = mapper->get_quadrant(i);
int sensor = mapper->get_sensor_in_quadrant(i);
int index = 6*quadrant+sensor;
int layer = mapper->get_layer(i);
hsensor_high[arm][layer][index]->Add(htemp0);
hsensor_low[arm][layer][index]->Add(htemp1);
}
for(int iarm = 0;iarm < 2;iarm++){
for(int ilayer = 0;ilayer < 8;ilayer++){
char cname[100];
sprintf(cname,"csensor_arm%d_layer%d_%d_%d",iarm,ilayer,runnumber,segment);
TCanvas* c = new TCanvas(cname,cname,1400,800);
for(int index = 0;index < 24;index++){
char pname[100];
sprintf(pname,"sensor_arm%d_layer%d_index%d",iarm,ilayer,index);
double x0 = min_sensor_x[iarm][ilayer][index];
double x1 = max_sensor_x[iarm][ilayer][index];
double y0 = min_sensor_y[iarm][ilayer][index];
double y1 = max_sensor_y[iarm][ilayer][index];
if(ilayer%2 == 0){
y0 = y0 - 0.85;
y1 = y1 + 0.85;
}
if(ilayer%2 == 1){
x0 = x0 - 0.85;
x1 = x1 + 0.85;
}
TPad* pad = new TPad(pname,pname,0.5+x0/40.,0.5+y0/40.,0.5+x1/40.,0.5+y1/40.);
pad->cd();
pad->SetLogy();
hsensor_high[iarm][ilayer][index]->Draw("");
hsensor_low[iarm][ilayer][index]->SetLineColor(kRed);
hsensor_low[iarm][ilayer][index]->Draw("");
c->cd();
pad->DrawClone("same");
delete pad;
}
sprintf(cname,"%d/csensor_arm%d_layer%d_%d_%d.gif",runnumber,iarm,ilayer,runnumber,segment);
c->Print(cname,"gif");
delete c;
}
}
}
//_________________________________________________________________________________________
Int_t checkPullTree(TString pathTree, TString pathNameThetaMap, TString pathNameSigmaMap,
TString mapSuffix, const Int_t collType /*0: pp, 1: pPb, 2: PbPb*/, const Bool_t plotPull = kTRUE,
const Double_t downScaleFactor = 1,
TString pathNameSplinesFile = "", TString prSplinesName = "",
TString fileNameTree = "bhess_PIDetaTree.root", TString treeName = "fTree")
{
const Bool_t isNonPP = collType != 0;
const Double_t massProton = AliPID::ParticleMass(AliPID::kProton);
Bool_t recalculateExpecteddEdx = pathNameSplinesFile != "";
TFile* f = 0x0;
f = TFile::Open(Form("%s/%s", pathTree.Data(), fileNameTree.Data()));
if (!f) {
std::cout << "Failed to open tree file \"" << Form("%s/%s", pathTree.Data(), fileNameTree.Data()) << "\"!" << std::endl;
return -1;
}
// Extract the data Tree
TTree* tree = dynamic_cast<TTree*>(f->Get(treeName.Data()));
if (!tree) {
std::cout << "Failed to load data tree!" << std::endl;
return -1;
}
// Extract the splines, if desired
TSpline3* splPr = 0x0;
if (recalculateExpecteddEdx) {
std::cout << "Loading splines to recalculate expected dEdx!" << std::endl << std::endl;
TFile* fSpl = TFile::Open(pathNameSplinesFile.Data());
if (!fSpl) {
std::cout << "Failed to open spline file \"" << pathNameSplinesFile.Data() << "\"!" << std::endl;
return 0x0;
}
TObjArray* TPCPIDResponse = (TObjArray*)fSpl->Get("TPCPIDResponse");
if (!TPCPIDResponse) {
splPr = (TSpline3*)fSpl->Get(prSplinesName.Data());
// If splines are in file directly, without TPCPIDResponse object, try to load them
if (!splPr) {
std::cout << "Failed to load object array from spline file \"" << pathNameSplinesFile.Data() << "\"!" << std::endl;
return 0x0;
}
}
else {
splPr = (TSpline3*)TPCPIDResponse->FindObject(prSplinesName.Data());
if (!splPr) {
std::cout << "Failed to load splines from file \"" << pathNameSplinesFile.Data() << "\"!" << std::endl;
return 0x0;
}
}
}
else
std::cout << "Taking dEdxExpected from Tree..." << std::endl << std::endl;
// Extract the correction maps
TFile* fMap = TFile::Open(pathNameThetaMap.Data());
if (!fMap) {
std::cout << "Failed to open thetaMap file \"" << pathNameThetaMap.Data() << "\"! Will not additionally correct data...." << std::endl;
}
TH2D* hMap = 0x0;
if (fMap) {
hMap = dynamic_cast<TH2D*>(fMap->Get(Form("hRefined%s", mapSuffix.Data())));
if (!hMap) {
std::cout << "Failed to load theta map!" << std::endl;
return -1;
}
}
TFile* fSigmaMap = TFile::Open(pathNameSigmaMap.Data());
if (!fSigmaMap) {
std::cout << "Failed to open simgaMap file \"" << pathNameSigmaMap.Data() << "\"!" << std::endl;
return -1;
}
TH2D* hThetaMapSigmaPar1 = dynamic_cast<TH2D*>(fSigmaMap->Get("hThetaMapSigmaPar1"));
if (!hThetaMapSigmaPar1) {
std::cout << "Failed to load sigma map for par 1!" << std::endl;
return -1;
}
Double_t c0 = -1;
TNamed* c0Info = dynamic_cast<TNamed*>(fSigmaMap->Get("c0"));
if (!c0Info) {
std::cout << "Failed to extract c0 from file with sigma map!" << std::endl;
return -1;
}
TString c0String = c0Info->GetTitle();
c0 = c0String.Atof();
printf("Loaded parameter 0 for sigma: %f\n\n", c0);
if (plotPull)
std::cout << "Plotting pull..." << std::endl << std::endl;
else
std::cout << "Plotting delta'..." << std::endl << std::endl;
Long64_t nTreeEntries = tree->GetEntriesFast();
Double_t dEdx = 0.; // Measured dE/dx
Double_t dEdxExpected = 0.; // Expected dE/dx according to parametrisation
Double_t tanTheta = 0.; // Tangens of (local) theta at TPC inner wall
Double_t pTPC = 0.; // Momentum at TPC inner wall
UShort_t tpcSignalN = 0; // Number of clusters used for dEdx
UChar_t pidType = 0;
Int_t fMultiplicity = 0;
//Double_t phiPrime = 0;
// Only activate the branches of interest to save processing time
tree->SetBranchStatus("*", 0); // Disable all branches
tree->SetBranchStatus("pTPC", 1);
tree->SetBranchStatus("dEdx", 1);
tree->SetBranchStatus("dEdxExpected", 1);
tree->SetBranchStatus("tanTheta", 1);
tree->SetBranchStatus("tpcSignalN", 1);
tree->SetBranchStatus("pidType", 1);
//tree->SetBranchStatus("phiPrime", 1);
if (isNonPP)
tree->SetBranchStatus("fMultiplicity", 1);
tree->SetBranchAddress("dEdx", &dEdx);
tree->SetBranchAddress("dEdxExpected", &dEdxExpected);
tree->SetBranchAddress("tanTheta", &tanTheta);
tree->SetBranchAddress("tpcSignalN", &tpcSignalN);
tree->SetBranchAddress("pTPC", &pTPC);
tree->SetBranchAddress("pidType", &pidType);
//tree->SetBranchAddress("phiPrime", &phiPrime);
if (isNonPP)
tree->SetBranchAddress("fMultiplicity", &fMultiplicity);
// Output file
TDatime daTime;
TString savefileName = Form("%s%s_checkPullSigma_%04d_%02d_%02d__%02d_%02d.root", fileNameTree.ReplaceAll(".root", "").Data(),
recalculateExpecteddEdx ? "_recalcdEdx" : "",
daTime.GetYear(), daTime.GetMonth(), daTime.GetDay(), daTime.GetHour(), daTime.GetMinute());
TFile* fSave = TFile::Open(Form("%s/%s", pathTree.Data(), savefileName.Data()), "recreate");
if (!fSave) {
std::cout << "Failed to open save file \"" << Form("%s/%s", pathTree.Data(), savefileName.Data()) << "\"!" << std::endl;
return -1;
}
const Double_t pBoundLow = 0.1;
const Double_t pBoundUp = 5;
const Int_t nBins1 = TMath::Ceil(180 / downScaleFactor);
const Int_t nBins2 = TMath::Ceil(100 / downScaleFactor);
const Int_t nBins3 = TMath::Ceil(60 / downScaleFactor);
const Int_t nPbinsForMap = nBins1 + nBins2 + nBins3;
Double_t binsPforMap[nPbinsForMap + 1];
Double_t binWidth1 = (1.0 - pBoundLow) / nBins1;
Double_t binWidth2 = (2.0 - 1.0 ) / nBins2;
Double_t binWidth3 = (pBoundUp - 2.0) / nBins3;
for (Int_t i = 0; i < nBins1; i++) {
binsPforMap[i] = pBoundLow + i * binWidth1;
}
for (Int_t i = nBins1, j = 0; i < nBins1 + nBins2; i++, j++) {
binsPforMap[i] = 1.0 + j * binWidth2;
}
for (Int_t i = nBins1 + nBins2, j = 0; i < nBins1 + nBins2 + nBins3; i++, j++) {
binsPforMap[i] = 2.0 + j * binWidth3;
}
binsPforMap[nPbinsForMap] = pBoundUp;
TH2D* hPull = new TH2D("hPull", "Pull vs. p_{TPC} integrated over tan(#Theta);p_{TPC} (GeV/c);Pull", nPbinsForMap, binsPforMap,
plotPull ? 120 : 240, plotPull ? -6 : -0.6, plotPull ? 6 : 0.6);
TH2D* hPullAdditionalCorr = (TH2D*)hPull->Clone("hPullAdditionalCorr");
hPullAdditionalCorr->SetTitle("Pull vs. p_{TPC} integrated over tan(#Theta) with additional dEdx correction w.r.t. tan(#Theta)");
/*
const Int_t nThetaHistos = 3;
TH2D* hPullTheta[nThetaHistos];
TH2D* hPullAdditionalCorrTheta[nThetaHistos];
Double_t tThetaLow[nThetaHistos] = { 0.0, 0.4, 0.9 };
Double_t tThetaHigh[nThetaHistos] = { 0.1, 0.5, 1.0 };
*/
const Int_t nThetaHistos = 10;
TH2D* hPullTheta[nThetaHistos];
TH2D* hPullAdditionalCorrTheta[nThetaHistos];
Double_t tThetaLow[nThetaHistos] = { 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9 };
Double_t tThetaHigh[nThetaHistos] = { 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0 };
for (Int_t i = 0; i < nThetaHistos; i++) {
hPullTheta[i] = new TH2D(Form("hPullTheta_%d", i),
Form("Pull vs. p_{TPC} for %.2f <= |tan(#Theta)| < %.2f;p_{TPC} (GeV/c);Pull", tThetaLow[i], tThetaHigh[i]),
nPbinsForMap, binsPforMap, plotPull ? 120 : 240, plotPull ? -6 : -0.6, plotPull ? 6 : 0.6);
hPullAdditionalCorrTheta[i] =
new TH2D(Form("hPullAdditionalCorrTheta_%d", i),
Form("Pull vs. p_{TPC} for %.2f <= |tan(#Theta)| < %.2f with additional dEdx correction w.r.t. tan(#Theta);p_{TPC} (GeV/c);Pull",
tThetaLow[i], tThetaHigh[i]),
nPbinsForMap, binsPforMap, plotPull ? 120 : 240, plotPull ? -6 : -0.6, plotPull ? 6 : 0.6);
}
TF1 corrFuncMult("corrFuncMult", "[0] + [1]*TMath::Max([4], TMath::Min(x, [3])) + [2] * TMath::Power(TMath::Max([4], TMath::Min(x, [3])), 2)",
0., 0.2);
TF1 corrFuncMultTanTheta("corrFuncMultTanTheta", "[0] * (x -[2]) + [1] * (x * x - [2] * [2])", -1.5, 1.5);
TF1 corrFuncSigmaMult("corrFuncSigmaMul", "TMath::Max(0, [0] + [1]*TMath::Min(x, [3]) + [2] * TMath::Power(TMath::Min(x, [3]), 2))", 0., 0.2);
// LHC13b.pass2
if (isNonPP)
printf("Using corr Parameters for 13b.pass2\n!");
corrFuncMult.SetParameter(0, -5.906e-06);
corrFuncMult.SetParameter(1, -5.064e-04);
corrFuncMult.SetParameter(2, -3.521e-02);
corrFuncMult.SetParameter(3, 2.469e-02);
corrFuncMult.SetParameter(4, 0);
corrFuncMultTanTheta.SetParameter(0, -5.32e-06);
corrFuncMultTanTheta.SetParameter(1, 1.177e-05);
corrFuncMultTanTheta.SetParameter(2, -0.5);
corrFuncSigmaMult.SetParameter(0, 0.);
corrFuncSigmaMult.SetParameter(1, 0.);
corrFuncSigmaMult.SetParameter(2, 0.);
corrFuncSigmaMult.SetParameter(3, 0.);
/* OK, but PID task was not very satisfying
corrFuncMult.SetParameter(0, -6.27187e-06);
corrFuncMult.SetParameter(1, -4.60649e-04);
corrFuncMult.SetParameter(2, -4.26450e-02);
corrFuncMult.SetParameter(3, 2.40590e-02);
corrFuncMult.SetParameter(4, 0);
corrFuncMultTanTheta.SetParameter(0, -5.338e-06);
corrFuncMultTanTheta.SetParameter(1, 1.220e-05);
corrFuncMultTanTheta.SetParameter(2, -0.5);
corrFuncSigmaMult.SetParameter(0, 7.89237e-05);
corrFuncSigmaMult.SetParameter(1, -1.30662e-02);
corrFuncSigmaMult.SetParameter(2, 8.91548e-01);
corrFuncSigmaMult.SetParameter(3, 1.47931e-02);
*/
/*
// LHC11a10a
if (isNonPP)
printf("Using corr Parameters for 11a10a\n!");
corrFuncMult.SetParameter(0, 6.90133e-06);
corrFuncMult.SetParameter(1, -1.22123e-03);
corrFuncMult.SetParameter(2, 1.80220e-02);
corrFuncMult.SetParameter(3, 0.1);
corrFuncMult.SetParameter(4, 6.45306e-03);
corrFuncMultTanTheta.SetParameter(0, -2.85505e-07);
corrFuncMultTanTheta.SetParameter(1, -1.31911e-06);
corrFuncMultTanTheta.SetParameter(2, -0.5);
corrFuncSigmaMult.SetParameter(0, -4.29665e-05);
corrFuncSigmaMult.SetParameter(1, 1.37023e-02);
corrFuncSigmaMult.SetParameter(2, -6.36337e-01);
corrFuncSigmaMult.SetParameter(3, 1.13479e-02);
*/
/* OLD without saturation and large error for negative slopes
corrFuncSigmaMult.SetParameter(0, -4.79684e-05);
corrFuncSigmaMult.SetParameter(1, 1.49938e-02);
corrFuncSigmaMult.SetParameter(2, -7.15269e-01);
corrFuncSigmaMult.SetParameter(3, 1.06855e-02);
*/
/* OLD very good try, but with fewer pBins for the fitting
corrFuncMult.SetParameter(0, 6.88365e-06);
corrFuncMult.SetParameter(1, -1.22324e-03);
corrFuncMult.SetParameter(2, 1.81625e-02);
corrFuncMult.SetParameter(3, 0.1);
corrFuncMult.SetParameter(4, 6.36890e-03);
corrFuncMultTanTheta.SetParameter(0, -2.85505e-07);
corrFuncMultTanTheta.SetParameter(1, -1.31911e-06);
corrFuncMultTanTheta.SetParameter(2, -0.5);
corrFuncSigmaMult.SetParameter(0, -4.28401e-05);
corrFuncSigmaMult.SetParameter(1, 1.24812e-02);
corrFuncSigmaMult.SetParameter(2, -5.28531e-01);
corrFuncSigmaMult.SetParameter(3, 1.25147e-02);
*/
/*OLD good try
corrFuncMult.SetParameter(0, 7.50321e-06);
corrFuncMult.SetParameter(1, -1.25250e-03);
corrFuncMult.SetParameter(2, 1.85437e-02);
corrFuncMult.SetParameter(3, 0.1);
corrFuncMult.SetParameter(4, 6.21192e-03);
corrFuncMultTanTheta.SetParameter(0, -1.43112e-07);
corrFuncMultTanTheta.SetParameter(1, -1.53e-06);
corrFuncMultTanTheta.SetParameter(2, 0.3);
corrFuncSigmaMult.SetParameter(0, -2.54019e-05);
corrFuncSigmaMult.SetParameter(1, 8.68883e-03);
corrFuncSigmaMult.SetParameter(2, -3.36176e-01);
corrFuncSigmaMult.SetParameter(3, 1.29230e-02);
*/
/*
// LHC10h.pass2
if (isNonPP)
printf("Using corr Parameters for 10h.pass2\n!");
corrFuncMult.SetParameter(0, 3.21636e-07);
corrFuncMult.SetParameter(1, -6.65876e-04);
corrFuncMult.SetParameter(2, 1.28786e-03);
corrFuncMult.SetParameter(3, 1.47677e-02);
corrFuncMult.SetParameter(4, 0.);
corrFuncMultTanTheta.SetParameter(0, 7.23591e-08);
corrFuncMultTanTheta.SetParameter(1, 2.7469e-06);
corrFuncMultTanTheta.SetParameter(2, -0.5);
corrFuncSigmaMult.SetParameter(0, -1.22590e-05);
corrFuncSigmaMult.SetParameter(1, 6.88888e-03);
corrFuncSigmaMult.SetParameter(2, -3.20788e-01);
corrFuncSigmaMult.SetParameter(3, 1.07345e-02);
*/
/*OLD bad try
corrFuncMult.SetParameter(0, 2.71514e-07);
corrFuncMult.SetParameter(1, -6.92031e-04);
corrFuncMult.SetParameter(2, 3.56042e-03);
corrFuncMult.SetParameter(3, 1.47497e-02);
corrFuncMult.SetParameter(4, 0.);
corrFuncMultTanTheta.SetParameter(0, 8.53204e-08);
corrFuncMultTanTheta.SetParameter(1, 2.85591e-06);
corrFuncMultTanTheta.SetParameter(2, -0.5);
corrFuncSigmaMult.SetParameter(0, -6.82477e-06);
corrFuncSigmaMult.SetParameter(1, 4.97051e-03);
corrFuncSigmaMult.SetParameter(2, -1.64954e-01);
corrFuncSigmaMult.SetParameter(3, 9.21061e-03);
*/
//TODO NOW
TF1* fShapeSmallP = new TF1("fShapeSmallP", "pol5", -0.4, 0.4);
fShapeSmallP->SetParameters(1.01712, -0.0202725, -0.260692, 0.261623, 0.671854, -1.14014);
for (Long64_t i = 0; i < nTreeEntries; i++) {
tree->GetEntry(i);
if (dEdx <= 0 || dEdxExpected <= 0 || tpcSignalN <= 10)
continue;
/*
Double_t pT = pTPC*TMath::Sin(-TMath::ATan(tanTheta)+TMath::Pi()/2.0);
if ((phiPrime > 0.072/pT+TMath::Pi()/18.0-0.035 && phiPrime < 0.07/pT/pT+0.1/pT+TMath::Pi()/18.0+0.035))
continue;
*/
if (pidType != kMCid) {
if (pidType == kTPCid && pTPC > 0.6)
continue;
if (pidType == kTPCandTOFid && (pTPC < 0.6 || pTPC > 2.0))
continue;
if ((collType == 2) && pidType == kTPCandTOFid && pTPC > 1.0)
continue;// Only V0's in case of PbPb above 1.0 GeV/c
if (pidType == kV0idPlusTOFrejected) //TODO NOW NEW
continue;
}
if (recalculateExpecteddEdx) {
dEdxExpected = 50. * splPr->Eval(pTPC / massProton); //WARNING: What, if MIP is different from 50.? Seems not to be used (tested for pp, MC_pp, PbPb and MC_PbPb), but can in principle happen
}
//TODO NOW
/*
if (TMath::Abs(tanTheta) <= 0.4) {
Double_t p0 = fShapeSmallP->Eval(tanTheta) - 1.0; // Strength of the correction
Double_t p1 = -9.0; // How fast the correction is turned off
Double_t p2 = -0.209; // Turn off correction around 0.2 GeV/c
Double_t p3 = 1.0; // Delta' for large p should be 1
Double_t corrFactor = TMath::Erf((pTPC + p2) * p1) * p0 + p3 + p0; // Add p0 to have 1 for p3 = 1 and large pTPC
dEdxExpected *= corrFactor;
}*/
/*TODO old unsuccessful try
Double_t thetaGlobalTPC = -TMath::ATan(tanTheta) + TMath::Pi() / 2.;
Double_t pTtpc = pTPC * TMath::Sin(thetaGlobalTPC);
Double_t pTtpcInv = (pTtpc > 0) ? 1. / pTtpc : 0;
Double_t p0 = 1.0;
Double_t p1 = 1./ 0.5;//TODO 2.0;
Double_t p2 = -0.2;//TODO 0.1
Double_t pTcorrFactor = p0 + (pTtpcInv > p1) * p2 * (pTtpcInv - p1);
dEdxExpected *= pTcorrFactor;
*/
// From the momentum (via dEdxExpected) and the tanTheta of the track, the expected dEdx can be calculated (correctedDeDxExpected).
// If the splines are correct, this should give in average the same value as dEdx.
// Now valid: Maps created from corrected data with splines adopted to corrected data, so lookup should be for dEdxExpected=dEdxSplines (no further
// eta correction) or the corrected dEdx from the track (which should ideally be = dEdxSplines)
// Tested with corrected data for LHC10d.pass2: using dEdx for the lookup (which is the corrected value and should ideally be = dEdxSplines):
// Results almost the same. Maybe slightly better for dEdxExpected.
// No longer valid: Note that the maps take always the uncorrected dEdx w.r.t.
// tanTheta, so that correctedDeDxExpected is needed here normally. However, the information for the correction will be lost at some point.
// Therefore, dEdxExpected can be used instead and should provide a good approximation.
Double_t c1FromSigmaMap = hThetaMapSigmaPar1->GetBinContent(getBinX(hThetaMapSigmaPar1, tanTheta), getBinY(hThetaMapSigmaPar1, 1./dEdxExpected));
Double_t expectedSigma = dEdxExpected * TMath::Sqrt( c0 * c0 + (c1FromSigmaMap * c1FromSigmaMap) / tpcSignalN);
Double_t pull = (dEdx - dEdxExpected) / (plotPull ? expectedSigma: dEdxExpected);
// Fill pull histo
hPull->Fill(pTPC, pull);
Double_t tanThetaAbs = TMath::Abs(tanTheta);
for (Int_t j = 0; j < nThetaHistos; j++) {
if (tanThetaAbs >= tThetaLow[j] && tanThetaAbs < tThetaHigh[j]) {
hPullTheta[j]->Fill(pTPC, pull);
}
}
if (!hMap)
continue;
Double_t correctionFactor = 1.;
if (isNonPP) {
// 1. Correct eta dependence
correctionFactor = hMap->GetBinContent(getBinX(hMap, tanTheta), getBinY(hMap, 1./dEdxExpected));
// 2. Correct for multiplicity dependence:
Double_t multCorrectionFactor = 1.;
if (fMultiplicity > 0) {
Double_t relSlope = corrFuncMult.Eval(1. / (dEdxExpected * correctionFactor));
relSlope += corrFuncMultTanTheta.Eval(tanTheta);
multCorrectionFactor = 1. + relSlope * fMultiplicity;
}
c1FromSigmaMap = hThetaMapSigmaPar1->GetBinContent(getBinX(hThetaMapSigmaPar1, tanTheta), getBinY(hThetaMapSigmaPar1, 1./dEdxExpected));
// Multiplicity dependence of sigma depends on the real dEdx at zero multiplicity, i.e. the eta (only) corrected dEdxExpected value has to be used
// since all maps etc. have been created for ~zero multiplicity
Double_t relSigmaSlope = corrFuncSigmaMult.Eval(1. / (dEdxExpected * correctionFactor));
Double_t multSigmaCorrectionFactor = 1. + relSigmaSlope * fMultiplicity;
dEdxExpected *= correctionFactor * multCorrectionFactor;
expectedSigma = dEdxExpected * TMath::Sqrt( c0 * c0 + (c1FromSigmaMap * c1FromSigmaMap) / tpcSignalN);
expectedSigma *= multSigmaCorrectionFactor;
pull = (dEdx - dEdxExpected) / (plotPull ? expectedSigma: dEdxExpected);
}
else {
correctionFactor = hMap->GetBinContent(getBinX(hMap, tanTheta), getBinY(hMap, 1./dEdxExpected));
c1FromSigmaMap = hThetaMapSigmaPar1->GetBinContent(getBinX(hThetaMapSigmaPar1, tanTheta), getBinY(hThetaMapSigmaPar1, 1./dEdxExpected));
dEdxExpected *= correctionFactor; // If data is not corrected, but the sigma map is for corrected data, re-do analysis with corrected dEdx
expectedSigma = dEdxExpected * TMath::Sqrt( c0 * c0 + (c1FromSigmaMap * c1FromSigmaMap) / tpcSignalN);
pull = (dEdx - dEdxExpected) / (plotPull ? expectedSigma: dEdxExpected);
}
pull = (dEdx - dEdxExpected) / (plotPull ? expectedSigma: dEdxExpected);
hPullAdditionalCorr->Fill(pTPC, pull);
for (Int_t j = 0; j < nThetaHistos; j++) {
if (tanThetaAbs >= tThetaLow[j] && tanThetaAbs < tThetaHigh[j]) {
hPullAdditionalCorrTheta[j]->Fill(pTPC, pull);
}
}
}
/*
// Mean, Sigma, chi^2/NDF of pull of different theta bins and all in one plot
TCanvas* canvPullMean = new TCanvas("canvPullMean", "canvPullMean", 100,10,1380,800);
canvPullMean->SetLogx(kTRUE);
canvPullMean->SetGridx(kTRUE);
canvPullMean->SetGridy(kTRUE);
TCanvas* canvPullSigma = new TCanvas("canvPullSigma", "canvPullSigma", 100,10,1380,800);
canvPullSigma->SetLogx(kTRUE);
canvPullSigma->SetGridx(kTRUE);
canvPullSigma->SetGridy(kTRUE);
TCanvas* canvPullChi2 = new TCanvas("canvPullChi2", "canvPullChi2", 100,10,1380,800);
canvPullChi2->SetLogx(kTRUE);
canvPullChi2->SetGridx(kTRUE);
canvPullChi2->SetGridy(kTRUE);
TCanvas* canvPull[nThetaHistos + 1];
for (Int_t i = 0, j = nThetaHistos; i < nThetaHistos + 1; i++, j--) {
canvPull[i] = new TCanvas(Form("canvPull_%d", i), "canvPull", 100,10,1380,800);
canvPull[i]->cd();
canvPull[i]->SetLogx(kTRUE);
canvPull[i]->SetLogz(kTRUE);
canvPull[i]->SetGrid(kTRUE, kTRUE);
TH2D* hTemp = 0x0;
TString thetaString = "";
if (i == nThetaHistos) {
hTemp = hPull;
thetaString = "tan(#Theta) integrated";
}
else {
hTemp = hPullTheta[i];
thetaString = Form("%.2f #leq |tan(#Theta)| < %.2f", tThetaLow[i], tThetaHigh[i]);
}
normaliseHisto(hTemp);
hTemp->FitSlicesY();
hTemp->GetYaxis()->SetNdivisions(12);
hTemp->GetXaxis()->SetMoreLogLabels(kTRUE);
TH1D* hTempMean = (TH1D*)gDirectory->Get(Form("%s_1", hTemp->GetName()));
hTempMean->SetTitle(Form("mean(pull), %s", thetaString.Data()));
hTempMean->GetXaxis()->SetMoreLogLabels(kTRUE);
hTempMean->SetLineWidth(2);
hTempMean->SetMarkerStyle(20);
TH1D* hTempSigma = (TH1D*)gDirectory->Get(Form("%s_2", hTemp->GetName()));
hTempSigma->SetTitle(Form("#sigma(pull), %s", thetaString.Data()));
hTempSigma->GetXaxis()->SetMoreLogLabels(kTRUE);
hTempSigma->SetLineColor(kMagenta);
hTempSigma->SetMarkerStyle(20);
hTempSigma->SetMarkerColor(kMagenta);
hTempSigma->SetLineWidth(2);
TH1D* hTempChi2 = (TH1D*)gDirectory->Get(Form("%s_chi2", hTemp->GetName()));
hTempChi2->SetTitle(Form("#chi^{2} / NDF (pull), %s", thetaString.Data()));
hTempChi2->GetXaxis()->SetMoreLogLabels(kTRUE);
hTempChi2->SetLineColor(kMagenta + 2);
hTempChi2->SetMarkerStyle(20);
hTempChi2->SetMarkerColor(kMagenta + 2);
hTempChi2->SetLineWidth(2);
hTemp->DrawCopy("colz");
hTempMean->DrawCopy("same");
hTempSigma->DrawCopy("same");
hTempChi2->Scale(-1./10.);
hTempChi2->DrawCopy("same");
hTempChi2->Scale(-10.);
canvPullMean->cd();
hTempMean->SetLineColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
hTempMean->SetMarkerColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
hTempMean->DrawCopy((i == 0 ? "" : "same"));
canvPullSigma->cd();
hTempSigma->SetLineColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
hTempSigma->SetMarkerColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
hTempSigma->DrawCopy((i == 0 ? "" : "same"));
canvPullChi2->cd();
hTempChi2->SetLineColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
hTempChi2->SetMarkerColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
hTempChi2->DrawCopy((i == 0 ? "" : "same"));
}
canvPullMean->BuildLegend();
canvPullSigma->BuildLegend();
canvPullChi2->BuildLegend();
*/
// Histograms with additional correction
TCanvas* canvPullMeanCorr = 0x0;
TCanvas* canvPullSigmaCorr = 0x0;
TCanvas* canvPullChi2Corr = 0x0;
TCanvas* canvPullCorr[nThetaHistos + 1];
for (Int_t i = 0; i < nThetaHistos + 1; i++)
canvPullCorr[i] = 0x0;
if (hMap) {
// Mean, Sigma, chi^2/NDF of pull of different theta bins and all in one plot
canvPullMeanCorr = new TCanvas("canvPullMeanCorr", "canvPullMeanCorr", 100,10,1380,800);
canvPullMeanCorr->SetLogx(kTRUE);
canvPullMeanCorr->SetGridx(kTRUE);
canvPullMeanCorr->SetGridy(kTRUE);
canvPullSigmaCorr = new TCanvas("canvPullSigmaCorr", "canvPullSigmaCorr", 100,10,1380,800);
canvPullSigmaCorr->SetLogx(kTRUE);
canvPullSigmaCorr->SetGridx(kTRUE);
canvPullSigmaCorr->SetGridy(kTRUE);
canvPullChi2Corr = new TCanvas("canvPullChi2Corr", "canvPullChi2Corr", 100,10,1380,800);
canvPullChi2Corr->SetLogx(kTRUE);
canvPullChi2Corr->SetGridx(kTRUE);
canvPullChi2Corr->SetGridy(kTRUE);
for (Int_t i = 0, j = nThetaHistos; i < nThetaHistos + 1; i++, j--) {
canvPullCorr[i] = new TCanvas(Form("canvPullCorr_%d", i), "canvPullCorr", 100,10,1380,800);
canvPullCorr[i]->cd();
canvPullCorr[i]->SetLogx(kTRUE);
canvPullCorr[i]->SetLogz(kTRUE);
canvPullCorr[i]->SetGrid(kTRUE, kTRUE);
TH2D* hTemp = 0x0;
TString thetaString = "";
if (i == nThetaHistos) {
hTemp = hPullAdditionalCorr;
thetaString = "tan(#Theta) integrated";
}
else {
hTemp = hPullAdditionalCorrTheta[i];
thetaString = Form("%.2f #leq |tan(#Theta)| < %.2f", tThetaLow[i], tThetaHigh[i]);
}
normaliseHisto(hTemp);
hTemp->FitSlicesY();
hTemp->GetYaxis()->SetNdivisions(12);
hTemp->GetXaxis()->SetMoreLogLabels(kTRUE);
TH1D* hTempMean = (TH1D*)gDirectory->Get(Form("%s_1", hTemp->GetName()));
hTempMean->SetTitle(Form("mean(pull), %s", thetaString.Data()));
hTempMean->GetXaxis()->SetMoreLogLabels(kTRUE);
hTempMean->SetLineWidth(2);
hTempMean->SetMarkerStyle(20);
TH1D* hTempSigma = (TH1D*)gDirectory->Get(Form("%s_2", hTemp->GetName()));
hTempSigma->SetTitle(Form("#sigma(pull), %s", thetaString.Data()));
hTempSigma->GetXaxis()->SetMoreLogLabels(kTRUE);
hTempSigma->SetLineColor(kMagenta);
hTempSigma->SetMarkerStyle(20);
hTempSigma->SetMarkerColor(kMagenta);
hTempSigma->SetLineWidth(2);
TH1D* hTempChi2 = (TH1D*)gDirectory->Get(Form("%s_chi2", hTemp->GetName()));
hTempChi2->SetTitle(Form("#chi^{2} / NDF (pull), %s", thetaString.Data()));
hTempChi2->GetXaxis()->SetMoreLogLabels(kTRUE);
hTempChi2->SetLineColor(kMagenta + 2);
hTempChi2->SetMarkerStyle(20);
hTempChi2->SetMarkerColor(kMagenta + 2);
hTempChi2->SetLineWidth(2);
hTemp->DrawCopy("colz");
hTempMean->DrawCopy("same");
hTempSigma->DrawCopy("same");
hTempChi2->Scale(-1./10.);
hTempChi2->DrawCopy("same");
hTempChi2->Scale(-10.);
canvPullMeanCorr->cd();
hTempMean->SetLineColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
hTempMean->SetMarkerColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
hTempMean->DrawCopy((i == 0 ? "" : "same"));
canvPullSigmaCorr->cd();
hTempSigma->SetLineColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
hTempSigma->SetMarkerColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
hTempSigma->DrawCopy((i == 0 ? "" : "same"));
canvPullChi2Corr->cd();
hTempChi2->SetLineColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
hTempChi2->SetMarkerColor(1 + ((j >= 9) ? (39 + 2 * (j - 9)) : j));
hTempChi2->DrawCopy((i == 0 ? "" : "same"));
}
canvPullMeanCorr->BuildLegend();
canvPullSigmaCorr->BuildLegend();
canvPullChi2Corr->BuildLegend();
}
fSave->cd();
/*canvPullMean->Write();
canvPullSigma->Write();
canvPullChi2->Write();
for (Int_t i = 0; i < nThetaHistos + 1; i++) {
canvPull[i]->Write();
}*/
canvPullMeanCorr->Write();
canvPullSigmaCorr->Write();
canvPullChi2Corr->Write();
for (Int_t i = 0; i < nThetaHistos + 1; i++) {
canvPullCorr[i]->Write();
}
TNamed* info = new TNamed(Form("Theta map: %s\n\nSigma map: %s\n\nSplines file: %s\n\nSplines name: %s", pathNameThetaMap.Data(),
pathNameSigmaMap.Data(), pathNameSplinesFile.Data(), prSplinesName.Data()),
"info");
info->Write();
fSave->Close();
return 0;
}