void run(int nEvents = 100000) {
TChain* fChain = new TChain("T");
ifstream sourceFiles("input.txt");
char line[128];
int count = 0;
while (sourceFiles >> line) {
fChain->Add(line);
++count;
}
cout << count << " files added!" << endl;
sourceFiles.close();
TStopwatch timer;
timer.Start();
fChain->Process("adcAnalyzer.C+", "", 8*nEvents, 0);
timer.Stop();
cout << "\n\nDone!" << endl;
cout << "CPU Time : " << timer.CpuTime() << " s (total), " << timer.CpuTime()/nEvents << " s (per event)" << endl;
cout << "RealTime : " << timer.RealTime() << " s (total), " << timer.RealTime()/nEvents << " s (per event)" << endl;
cout << "\n";
}
Float_t read_tree(const char *filename = "data.root", Double_t bytes = 10000000)
{
printf("Reading events from a root tree \n");
TFile *filein = new TFile(filename,"READ");
if ( filein->IsZombie() ) {
printf("Cannot open file \n");
return 0.0;
}
Int_t nbgamma; Int_t e[1000]; // up to 1000 energies ..should be ok
TTree *treein;
treein = (TTree *)filein->Get("TEST");
if ( treein == NULL ) return 0;
else {
treein->SetBranchAddress("mult",&nbgamma);
treein->SetBranchAddress("e",&e);
}
// write events and compute the needed time
TStopwatch watch;
watch.Start();
treein->Draw("e","","goff");
watch.Stop();
cout << " --> Reading rate " << bytes / (1024*1024*watch.RealTime()) << " MB/s"<< endl ;
filein->Close(); delete filein; return bytes / (1024*1024*watch.RealTime()) ;
}
bool TTimeHists::Run()
{
// run all tests with current settings, and check for identity of content.
Double_t check[2];
Long64_t rep[2];
for (int h = 0; h < 2; ++h) {
rep[h] = 0;
SetupValues();
try {
TStopwatch w;
w.Start();
SetupHist((EHist) h);
w.Stop();
do {
w.Start(kFALSE);
Fill((EHist) h);
check[h] = Check((EHist) h);
w.Stop();
++rep[h];
} while ((!h && w.RealTime() < 0.1)
|| (h && rep[0] > 0 && rep[1] < rep[0]));
fTime[h][0] = (1.* fNum * rep[h]) / w.RealTime() / 1E6;
fTime[h][1] = (1.* fNum * rep[h]) / w.CpuTime() / 1E6;
if (h == 1 && (fTime[h][0] > 1E20 || fTime[h][1] > 1E20)) {
do {
// some more cycles:
w.Start(kFALSE);
Fill((EHist) h);
Check((EHist) h);
w.Stop();
++rep[h];
} while (w.RealTime() < 0.1);
fTime[h][0] = (1.* fNum * rep[h]) / w.RealTime() / 1E6;
fTime[h][1] = (1.* fNum * rep[h]) / w.CpuTime() / 1E6;
}
if (fTime[h][0] > 1E20) fTime[h][0] = 1E20;
if (fTime[h][1] > 1E20) fTime[h][1] = 1E20;
}
catch (std::exception&) {
fTime[h][0] = fTime[h][1] = -1.;
check[h] = -1.; // can never be < 1 without exception
rep[h] = -1;
}
}
if (check[0] != check[1])
if (check[0] != -1.)
printf("ERROR: mismatch of histogram (%g) and sparse histogram (%g) for dim=%d, bins=%d!\n",
check[0], check[1], fDim, fBins);
// else
// printf("ERROR: cannot allocate histogram for dim=%d, bins=%d - out of memory!\n",
// fDim, fBins);
return (check[0] == check[1]);
}
void read() {
TRandom R;
TStopwatch timer;
TFile f1("mathcoreVectorIO_1.root");
// create tree
TTree *t1 = (TTree*)f1.Get("t1");
XYZTVector *v1 = 0;
t1->SetBranchAddress("LV branch",&v1);
timer.Start();
int n = (int) t1->GetEntries();
std::cout << " Tree Entries " << n << std::endl;
double etot=0;
for (int i = 0; i < n; ++i) {
t1->GetEntry(i);
etot += v1->Px();
etot += v1->Py();
etot += v1->Pz();
etot += v1->E();
}
timer.Stop();
std::cout << " Time for new Vector " << timer.RealTime() << " " << timer.CpuTime() << std::endl;
std::cout << " TOT average : n = " << n << "\t " << etot/double(n) << endl;
// create tree with old LV
TFile f2("mathcoreVectorIO_2.root");
TTree *t2 = (TTree*)f2.Get("t2");
TLorentzVector * v2 = 0;
t2->SetBranchAddress("TLV branch",&v2);
timer.Start();
n = (int) t2->GetEntries();
std::cout << " Tree Entries " << n << std::endl;
etot = 0;
for (int i = 0; i < n; ++i) {
t2->GetEntry(i);
etot += v2->Px();
etot += v2->Py();
etot += v2->Pz();
etot += v2->E();
}
timer.Stop();
std::cout << " Time for old Vector " << timer.RealTime() << " " << timer.CpuTime() << endl;
std::cout << " TOT average:\t" << etot/double(n) << endl;
}
void MCMonitoring(
const UInt_t num_events,
const TString base_name,
const TString base_path = "."
)
{
TStopwatch timer;
timer.Start();
const TString sim_file = base_path + "/r3bsim." + base_name + ".root";
const TString par_file = base_path + "/r3bpar." + base_name + ".root";
const TString out_file = base_path + "/mcmon." + base_name + ".root";
FairRunAna* run = new FairRunAna();
run->SetInputFile(sim_file);
run->SetOutputFile(out_file);
ConnectParFileToRuntimeDb(par_file, run->GetRuntimeDb());
run->AddTask(new R3BNeulandMCMon());
run->Init();
run->Run(0, num_events);
timer.Stop();
cout << endl;
cout << "Macro finished succesfully!" << endl;
cout << "Output file writen: " << out_file << endl;
cout << "Parameter file writen: " << par_file << endl;
cout << "Real time: " << timer.RealTime() << "s, CPU time: " << timer.CpuTime() << "s" << endl;
cout << endl;
}
void read() {
TRandom R;
TStopwatch timer;
TFile f1("mathcoreVectorIO_F.root");
// create tree
TTree *t1 = (TTree*)f1.Get("t1");
XYZTVectorF *v1 = 0;
t1->SetBranchAddress("LV branch",&v1);
timer.Start();
int n = (int) t1->GetEntries();
std::cout << " Tree Entries " << n << std::endl;
double etot=0;
for (int i = 0; i < n; ++i) {
t1->GetEntry(i);
etot += v1->E();
}
timer.Stop();
std::cout << " Time for new Float Vector " << timer.RealTime() << " " << timer.CpuTime() << std::endl;
std::cout << " E average" << n<< " " << etot << " " << etot/double(n) << endl;
}
void ana_Main_MC_arg_winscan(string which_MC_to_use, string MCFileLocation) {
gSystem->Load("libSusyEvent.so");
// Look ../jec/JetMETObjects/README
gSystem->Load("../jec/lib/libJetMETObjects.so");
// Printing utility for ntuple variables
gROOT->LoadMacro("SusyEventPrinter.cc+");
// Main analysis code
gROOT->LoadMacro("SusyMainAna_MC_arg_windowscan.cc+");
// chain of inputs
TChain* chain = new TChain("susyTree");
//////////////// MC files /////////////////
//MCpoint* thisMCpoint = setupMCpoint(which_MC_to_use);
chain->Add(MCFileLocation.data());
//chain->Add(thisMCpoint->filepath.c_str());
//chain->Add("../susyEvents_AB_1M_ho200_v2.root");
//chain->Add("../susyEvents_newNatural.root"); //last used!!
//chain->Add("/eos/uscms/store/user/abarker/MC/newNat350_225/MC_AB_2500k_NEWnaturalHiggsinoNLSPout_mst_350_M3_5025_mu_225.root");//same thing as ../susyEvents_newNatural.root
//chain->Add("/eos/uscms/store/user/abarker/MC/st_250_ho_150/MC_AB_2500k_st_250_ho_150.root");
//chain->Add("/eos/uscms/store/user/abarker/MC/st_250_ho_200/MC_AB_2500k_st_250_ho_200.root");
//chain->Add("/eos/uscms/store/user/abarker/MC/st_350_ho_200/MC_AB_2500k_mst_350_mu_200.root");
//chain->Add("/eos/uscms/store/user/abarker/MC/ho_140/MC_AB_2500k_ho_140.root");
//chain->Add("/eos/uscms/store/user/abarker/MC/ho_200/MC_AB_2500k_ho_200.root");
//chain->Add("../susyEvents_newNatural.root");
//chain->Add("dcache:/pnfs/cms/WAX/resilient/abarker/MC/MC_AB_2500k_NEWnaturalHiggsinoNLSPout_mst_350_M3_5025_mu_225.root");
//chain->Add("dcache:/pnfs/cms/WAX/resilient/abarker/MC/MC_AB_2500k_st_250_ho_150.root");
//chain->Add("dcache:/pnfs/cms/WAX/resilient/abarker/MC/MC_AB_2500k_st_250_ho_200.root");
//chain->Add("dcache:/pnfs/cms/WAX/resilient/abarker/MC/MC_AB_2500k_mst_350_mu_200.root");
//chain->Add("dcache:/pnfs/cms/WAX/resilient/abarker/MC/MC_AB_2500k_ho_140.root");
//chain->Add("dcache:/pnfs/cms/WAX/resilient/abarker/MC/MC_AB_2500k_ho_200.root");
SusyMainAna_MC_arg_windowscan* sea = new SusyMainAna_MC_arg_windowscan(chain);
// configuration parameters
// any values given here will replace the default values
sea->SetDataset("ttbar_relval"); // dataset name
sea->SetPrintInterval(1e4); // print frequency
sea->SetPrintLevel(0); // print level for event contents
sea->SetUseTrigger(false);
sea->SetFilter(false); // filter events passing final cuts
sea->SetProcessNEvents(-1); // number of events to be processed
TStopwatch ts;
ts.Start();
sea->Loop(which_MC_to_use);
ts.Stop();
std::cout << "RealTime : " << ts.RealTime()/60.0 << " minutes" << std::endl;
std::cout << "CPUTime : " << ts.CpuTime()/60.0 << " minutes" << std::endl;
}
Float_t write_tree(const char *filename = "data.root", Int_t nbevents = 10000000, Int_t compression = 0)
{
printf("Writing %d events in a root tree with compression level %d \n",nbevents,compression);
TFile *fileout = new TFile(filename,"recreate");
if ( fileout->IsZombie() ) {
printf("Cannot open file \n");
return 0.0;
}
fileout->SetCompressionLevel(compression);
Double_t wbytes = 0.0;
Int_t nbgamma; Int_t e[1000];
for (Int_t i = 1; i < 1000; i++) e[i] = 200*i;
TTree *treeout;
treeout = new TTree("TEST","TEST");
treeout->Branch("mult",&nbgamma,"nbgamma/I"); treeout->Branch("e",e,"e[nbgamma]/I");
// write events and compute the needed time
TStopwatch watch;
watch.Start();
for (int i = 0; i < nbevents; i++ ) {
nbgamma = 2 + i % 5; wbytes += 4.0; wbytes += nbgamma * 4.0;
treeout->Fill();
}
watch.Stop();
printf(" --> Writing rate %f MB/s [%f] \n",wbytes/(1024*1024*watch.RealTime()),wbytes/(1024*1024));
fileout->Close(); delete fileout;
return wbytes;
}
void write(int n) {
TRandom R;
TStopwatch timer;
TFile f1("mathcoreVectorIO_F.root","RECREATE");
// create tree
TTree t1("t1","Tree with new Float LorentzVector");
XYZTVectorF *v1 = new XYZTVectorF();
t1.Branch("LV branch","ROOT::Math::XYZTVectorF",&v1);
timer.Start();
for (int i = 0; i < n; ++i) {
double Px = R.Gaus(0,10);
double Py = R.Gaus(0,10);
double Pz = R.Gaus(0,10);
double E = R.Gaus(100,10);
v1->SetCoordinates(Px,Py,Pz,E);
t1.Fill();
}
f1.Write();
timer.Stop();
std::cout << " Time for new Float Vector " << timer.RealTime() << " " << timer.CpuTime() << std::endl;
t1.Print();
}
void seism() {
TStopwatch sw; sw.Start();
//set time offset
TDatime dtime;
gStyle->SetTimeOffset(dtime.Convert());
TCanvas *c1 = new TCanvas("c1","Time on axis",10,10,1000,500);
c1->SetFillColor(42);
c1->SetFrameFillColor(33);
c1->SetGrid();
Float_t bintime = 1; //one bin = 1 second. change it to set the time scale
TH1F *ht = new TH1F("ht","The ROOT seism",10,0,10*bintime);
Float_t signal = 1000;
ht->SetMaximum( signal);
ht->SetMinimum(-signal);
ht->SetStats(0);
ht->SetLineColor(2);
ht->GetXaxis()->SetTimeDisplay(1);
ht->GetYaxis()->SetNdivisions(520);
ht->Draw();
for (Int_t i=1;i<2300;i++) {
//======= Build a signal : noisy damped sine ======
Float_t noise = gRandom->Gaus(0,120);
if (i > 700) noise += signal*sin((i-700.)*6.28/30)*exp((700.-i)/300.);
ht->SetBinContent(i,noise);
c1->Modified();
c1->Update();
gSystem->ProcessEvents(); //canvas can be edited during the loop
}
printf("Real Time = %8.3fs, Cpu Time = %8.3fs\n",sw.RealTime(),sw.CpuTime());
}
void run(TString runNumber)
{
TStopwatch timer;
timer.Start();
TString dirIn1 = "/Volumes/Data/kresan/s438/data/";
TString dirIn2 = "/Volumes/Data/kresan/s438/tcal/";
TString dirOut = "/Volumes/Data/kresan/s438/digi/";
TString tdiffParName = "tdiff_" + runNumber + ".dat";
TString inputFileName1 = dirIn2 + runNumber + "_tcal.root"; // name of input file
TString parFileName = dirIn1 + "params_" + runNumber + "_raw.root"; // name of parameter file
TString outputFileName = dirOut + runNumber + "_digi.root"; // name of output file
// Create analysis run -------------------------------------------------------
FairRunAna* run = new FairRunAna();
run->SetInputFile(inputFileName1.Data());
run->SetOutputFile(outputFileName.Data());
// ---------------------------------------------------------------------------
// ----- Runtime DataBase info -----------------------------------------------
FairRuntimeDb* rtdb = run->GetRuntimeDb();
FairParRootFileIo* parIo1 = new FairParRootFileIo();
parIo1->open(parFileName);
rtdb->setFirstInput(parIo1);
rtdb->setOutput(parIo1);
rtdb->saveOutput();
// ---------------------------------------------------------------------------
// Tdiff calibration ---------------------------------------------------------
R3BLandTdiff* landTdiff = new R3BLandTdiff("LandTdiff", 1);
landTdiff->SetTdiffParName(tdiffParName.Data());
run->AddTask(landTdiff);
// ---------------------------------------------------------------------------
// Analysis ------------------------------------------------------------------
R3BLandAna* landAna = new R3BLandAna("LandAna", 1);
landAna->SetNofBars(100);
run->AddTask(landAna);
// ---------------------------------------------------------------------------
// Initialize ----------------------------------------------------------------
run->Init();
FairLogger::GetLogger()->SetLogScreenLevel("INFO");
// ---------------------------------------------------------------------------
// Run -----------------------------------------------------------------------
run->Run();
// ---------------------------------------------------------------------------
timer.Stop();
Double_t rtime = timer.RealTime();
Double_t ctime = timer.CpuTime();
cout << endl << endl;
cout << "Macro finished succesfully." << endl;
cout << "Output file is " << outputFileName << endl;
cout << "Parameter file is " << parFileName << endl;
cout << "Real time " << rtime << " s, CPU time " << ctime << "s" << endl << endl;
}
void testIntegPerf(double x1, double x2, int n = 100000){
std::cout << "\n\n***************************************************************\n";
std::cout << "Test integration performances in interval [ " << x1 << " , " << x2 << " ]\n\n";
TStopwatch timer;
double dx = (x2-x1)/double(n);
//ROOT::Math::Functor1D<ROOT::Math::IGenFunction> f1(& TMath::BreitWigner);
ROOT::Math::WrappedFunction<> f1(func);
timer.Start();
ROOT::Math::Integrator ig(f1 );
double s1 = 0.0;
nc = 0;
for (int i = 0; i < n; ++i) {
double x = x1 + dx*i;
s1+= ig.Integral(x1,x);
}
timer.Stop();
std::cout << "Time using ROOT::Math::Integrator :\t" << timer.RealTime() << std::endl;
std::cout << "Number of function calls = " << nc/n << std::endl;
int pr = std::cout.precision(18); std::cout << s1 << std::endl; std::cout.precision(pr);
//TF1 *fBW = new TF1("fBW","TMath::BreitWigner(x)",x1, x2); // this is faster but cannot measure number of function calls
TF1 *fBW = new TF1("fBW",func2,x1, x2,0);
timer.Start();
nc = 0;
double s2 = 0;
for (int i = 0; i < n; ++i) {
double x = x1 + dx*i;
s2+= fBW->Integral(x1,x );
}
timer.Stop();
std::cout << "Time using TF1::Integral :\t\t\t" << timer.RealTime() << std::endl;
std::cout << "Number of function calls = " << nc/n << std::endl;
pr = std::cout.precision(18); std::cout << s1 << std::endl; std::cout.precision(pr);
}
void dmesondecaylength()
{
//gStyle->SetOptStat("nemruoi");
gStyle->SetTitleSize(.04,"S");
gStyle->SetOptTitle(1);
gStyle->SetTitleOffset(1.0,"X");
gStyle->SetTitleOffset(.88,"Y");
gStyle->SetTitleSize(.04,"X");
gStyle->SetTitleSize(.04,"Y");
gStyle->SetLabelSize(.035,"X");
gStyle->SetLabelSize(.035,"Y");
gStyle->SetHistLineWidth(2);
gStyle->SetOptFit(1);
gStyle->SetOptStat(0);
// ----- Timer --------------------------------------------------------
TStopwatch timer;
timer.Start();
// ------------------------------------------------------------------------
double c= 3* std::pow(10.,8.);
double mt= 1040*std::pow(10.,-15.); // mean decay time
double mass= 1.869; // rest mass in GeV/c^2
//TCanvas* can = new TCanvas("can","Radiation Length for start detector",0,0,100,100);
TCanvas *c1 = new TCanvas("c1", "c1",0,52,1191,692);
TH1D* h = new TH1D("hist","D-meson, D-meson decay length",24,0,24);
h->SetTitle("D^{+} meson decay length = c#tau#sqrt{(#gamma_{D^{+}}^{2}-1)};Momentum (GeV/c); Decay length (mm)");
Int_t ci; // for color index setting
ci = TColor::GetColor("#000099");
for (int p=1; p<=24; p++)
{
double E = p*p + mass*mass;
E= std:: sqrt(E);
double gamma = E/mass;
double decaylength = c* std::sqrt(gamma*gamma -1)*mt*1000;
std:: cout<<" Decay length=" <<decaylength<<std::endl;
h->SetLineColor(ci);
h->GetXaxis()->CenterTitle(true);
h->GetYaxis()->CenterTitle(true);
h->SetMarkerColor(2);
h->SetMarkerStyle(20);
h->SetBinContent(p,decaylength);
h->Draw("E2-text");
}
// ----- Finish -------------------------------------------------------
timer.Stop();
Double_t rtime = timer.RealTime();
Double_t ctime = timer.CpuTime();
cout << endl << endl;
cout << "Macro finished succesfully." << endl;
cout << "Real time " << rtime << " s, CPU time " << ctime << " s" << endl;
cout << endl;
// ------------------------------------------------------------------------
}
void run(Long64_t nEntries = 1e4, string args = "TEST muon 2012")
{
string libMake = gSystem->GetMakeSharedLib();
const string delWarn("-Wshadow");
int pos1 = libMake.find(delWarn);
libMake= libMake.substr(0, pos1) + libMake.substr(pos1+delWarn.size()+1);
gSystem->SetMakeSharedLib(libMake.c_str());
//container classes
gROOT->LoadMacro("../src/TCPhysObject.cc+");
gROOT->LoadMacro("../src/TCTrack.cc+");
gROOT->LoadMacro("../src/TCEGamma.cc+");
gROOT->LoadMacro("../src/TCJet.cc+");
gROOT->LoadMacro("../src/TCMET.cc+");
gROOT->LoadMacro("../src/TCElectron.cc+");
gROOT->LoadMacro("../src/TCMuon.cc+");
gROOT->LoadMacro("../src/TCTau.cc+");
gROOT->LoadMacro("../src/TCPhoton.cc+");
gROOT->LoadMacro("../src/TCGenJet.cc+");
gROOT->LoadMacro("../src/TCGenParticle.cc+");
gROOT->LoadMacro("../src/TCPrimaryVtx.cc+");
gROOT->LoadMacro("../src/TCTriggerObject.cc+");
//analysis plugins (selectors, utiltities, etc.)
gROOT->LoadMacro("../plugins/HistManager.cc+");
gROOT->LoadMacro("../plugins/EGammaMvaEleEstimator.cc+");
gROOT->LoadMacro("../plugins/rochcor2012jan22.C+");
gROOT->LoadMacro("../plugins/WeightUtils.cc+");
gROOT->LoadMacro("../plugins/TriggerSelector.cc+");
gROOT->LoadMacro("../plugins/Selector.cc+");
TChain* fChain = new TChain("ntupleProducer/eventTree");
ifstream sourceFiles("input.txt");
char line[2048];
int count = 0;
while (sourceFiles >> line) {
fChain->Add(line);
++count;
}
cout << count << " files added!"<<endl;
sourceFiles.close();
TStopwatch timer;
timer.Start();
fChain->Process("fcncAnalyzer.C+", args.c_str(), nEntries, 0);
cout << "\n\nDone!" << endl;
cout << "CPU Time : " << timer.CpuTime() << endl;
cout << "RealTime : " << timer.RealTime() << endl;
cout << "\n";
}
double write(int n) {
TRandom R;
TStopwatch timer;
TFile f1("mathcoreLV.root","RECREATE");
// create tree
TTree t1("t1","Tree with new LorentzVector");
std::vector<ROOT::Math::XYZTVector> tracks;
std::vector<ROOT::Math::XYZTVector> * pTracks = &tracks;
t1.Branch("tracks","std::vector<ROOT::Math::LorentzVector<ROOT::Math::PxPyPzE4D<double> > >",&pTracks);
double M = 0.13957; // set pi+ mass
timer.Start();
double sum = 0;
for (int i = 0; i < n; ++i) {
int nPart = R.Poisson(5);
pTracks->clear();
pTracks->reserve(nPart);
for (int j = 0; j < nPart; ++j) {
double px = R.Gaus(0,10);
double py = R.Gaus(0,10);
double pt = sqrt(px*px +py*py);
double eta = R.Uniform(-3,3);
double phi = R.Uniform(0.0 , 2*TMath::Pi() );
RhoEtaPhiVector vcyl( pt, eta, phi);
// set energy
double E = sqrt( vcyl.R()*vcyl.R() + M*M);
XYZTVector q( vcyl.X(), vcyl.Y(), vcyl.Z(), E);
// fill track vector
pTracks->push_back(q);
// evaluate sum of components to check
sum += q.x()+q.y()+q.z()+q.t();
}
t1.Fill();
}
f1.Write();
timer.Stop();
std::cout << " Time for new Vector " << timer.RealTime() << " " << timer.CpuTime() << std::endl;
t1.Print();
return sum;
}
void countTriggers() {
// Printing utility for ntuple variables
gROOT->LoadMacro("/afs/cern.ch/user/y/yohay/scratch0/CMSSW_4_2_4_patch2/src/SusyAnalysis/SusyNtuplizer/macro/SusyEventPrinter.cc+");
// gROOT->LoadMacro("SusyEventPrinter.cc+");
// Main analysis code
// gSystem->SetIncludePath("-I../../..");
gSystem->SetIncludePath("-I/afs/cern.ch/user/y/yohay/scratch0/CMSSW_4_2_4_patch2/src");
gROOT->LoadMacro("/afs/cern.ch/user/y/yohay/scratch0/CMSSW_4_2_4_patch2/src/SusyAnalysis/SusyNtuplizer/macro/EventAnalyzer.cc+");
// gROOT->LoadMacro("EventAnalyzer.cc+");
//configuration
TChain chain("susyTree");
chain.Add("susyEvent_ALL_1.root");
// chain.Add("/data/ndpc3/c/dmorse/RA3/SusyNtuples/cms423v5_v1/Run2011A-May10ReReco-v1/Photon/Runs160442-163869/susyEvent_ALL_1.root");
// chain.Add("/data/ndpc3/c/dmorse/RA3/SusyNtuples/cms423v5_v1/Run2011A-May10ReReco-v1/Photon/Runs160442-163869/susyEvent_ALL_2.root");
// chain.Add("/data/ndpc3/c/dmorse/RA3/SusyNtuples/cms423v5_v1/Run2011A-PromptReco-v4/Photon/Run166438/susyEvent_ALL.root");
// chain.Add("/data/ndpc3/c/dmorse/RA3/SusyNtuples/cms423v5_v1/Run2011A-PromptReco-v4/Photon/Runs165088-166346/susyEvent_ALL_1.root");
// chain.Add("/data/ndpc3/c/dmorse/RA3/SusyNtuples/cms423v5_v1/Run2011A-PromptReco-v4/Photon/Runs165088-166346/susyEvent_ALL_2.root");
// chain.Add("/data/ndpc3/c/dmorse/RA3/SusyNtuples/cms423v5_v1/Run2011A-PromptReco-v4/Photon/Runs166374-166486/susyEvent_ALL.root");
// chain.Add("/data/ndpc3/c/dmorse/RA3/SusyNtuples/cms423v5_v1/Run2011A-PromptReco-v4/Photon/Runs166502-166530/susyEvent_ALL.root");
// chain.Add("/data/ndpc3/c/dmorse/RA3/SusyNtuples/cms423v5_v1/Run2011A-PromptReco-v4/Photon/Runs166554-166787/susyEvent_ALL.root");
// chain.Add("/data/ndpc3/c/dmorse/RA3/SusyNtuples/cms423v5_v1/Run2011A-PromptReco-v4/Photon/Runs166839-166911/susyEvent_ALL.root");
// chain.Add("/data/ndpc3/c/dmorse/RA3/SusyNtuples/cms423v5_v1/Run2011A-PromptReco-v4/Photon/Runs166921-167078/susyEvent_ALL.root");
// chain.Add("/data/ndpc3/c/dmorse/RA3/SusyNtuples/cms423v5_v1/Run2011A-PromptReco-v4/Photon/Runs167098-167284/susyEvent_ALL.root");
// chain.Add("/data/ndpc3/c/dmorse/RA3/SusyNtuples/cms423v5_v1/Run2011A-PromptReco-v4/Photon/Runs167551-167913/susyEvent_ALL.root");
EventAnalyzer treeReader(&chain);
treeReader.SetPrintInterval(10000);
treeReader.SetPrintLevel(0);
treeReader.SetUseTrigger(true);
treeReader.AddHltName("HLT_Photon32_CaloIdL_Photon26_CaloIdL");
treeReader.AddHltName("HLT_Photon36_CaloIdL_Photon22_CaloIdL");
treeReader.AddHltName("HLT_Photon40_CaloIdL_Photon28_CaloIdL");
treeReader.SetFilter(false);
treeReader.SetProcessNEvents(-1);
treeReader.IncludeAJson("/afs/cern.ch/user/y/yohay/scratch0/CMSSW_4_2_4_patch2/src/SusyAnalysis/SusyNtuplizer/macro/Cert_160404-172255_7TeV_PromptReco_Collisions11_JSON.txt");
treeReader.SetPhotonTag("photons");
//run
TStopwatch ts;
ts.Start();
// treeReader.countTriggers("/afs/cern.ch/user/y/yohay/scratch0/CMSSW_4_2_4_patch2/src/SusyAnalysis/SusyNtuplizer/count_May10ReReco_PromptRecov4_testv3");
treeReader.countTriggers("count_May10ReReco_PromptRecov4_batchTest");
ts.Stop();
cout << "Real time : " << ts.RealTime()/60.0 << " minutes" << endl;
cout << "CPU time : " << ts.CpuTime()/60.0 << " minutes" << endl;
}
void Generate_LS(int job){
gROOT->SetBatch();
int iy=int(job)/fNpt;
int ipt=int(job)%fNpt;
cout << "JOB: " << job << endl;
cout << "iy: " << iy << " ipt: " << ipt << endl;
cout << "y: " << fYbin[iy] << "-" << fYbin[iy+1] << endl;
cout << "pT: " << fPTbin[ipt] << "-" << fPTbin[ipt+1] << endl;
TStopwatch t;
t.Start();
loop(iy, ipt);
t.Stop();
cout << "Real Time: " << t.RealTime() << endl;
cout << "CPU Time: " << t.CpuTime() << endl;
}
void billtr(Int_t compress) {
//read N histograms from a tree
timer.Start();
TFile f("billt.root");
TH1F *h = 0;
TTree *T = (TTree*)f.Get("T");
T->SetBranchAddress("event",&h);
TH1F *hmeant = new TH1F("hmeant","hist mean from tree",100,0,1);
Long64_t nentries = T->GetEntries();
for (Long64_t i=0;i<nentries;i++) {
T->GetEntry(i);
hmeant->Fill(h->GetMean());
}
timer.Stop();
printf("billtr%d : RT=%7.3f s, Cpu=%7.3f s\n",compress,timer.RealTime(),timer.CpuTime());
}
void RhoToolsTest(Int_t nTimes=1)
{
#ifdef __CINT__
gROOT.Macro("$RHO/RhoMacros/LoadLibs.C");
#endif
TRho Rho("RhoTools test");
//cout << Rho; // Not possible until ROOT uses ANSI streams
TStopwatch timer; // Measure the execution time
timer.Start();
for (int i=0;i<nTimes;i++) Sputnik revival;
timer.Stop();
cout<<" ----- Realtime: "<<timer.RealTime()<<"sec"<<endl;
cout<<" ----- Cputime: "<<timer.CpuTime()<<"sec"<<endl;
}
void DoFit(const char* fitter, TVirtualPad *pad, Int_t npass) {
TStopwatch timer;
TVirtualFitter::SetDefaultFitter(fitter);
pad->SetGrid();
fitFcn->SetParameters(100,0,0,2,7);
fitFcn->Update();
timer.Start();
histo->Fit("fitFcn","0");
timer.Stop();
histo->Draw();
Double_t cputime = timer.CpuTime();
printf("%s, npass=%d : RT=%7.3f s, Cpu=%7.3f s\n",fitter,npass,timer.RealTime(),cputime);
TPaveLabel *p = new TPaveLabel(0.5,0.7,0.85,0.8,Form("%s CPU= %g s",fitter,cputime),"brNDC");
p->Draw();
pad->Update();
}
void generate( R & r, TH1D * h) {
TStopwatch w;
r.SetSeed(0);
//r.SetSeed(int(std::pow(2.0,28)));
int m = NLOOP;
int n = NEVT;
for (int j = 0; j < m; ++j) {
//std::cout << r.GetSeed() << " ";
w.Start();
// if ( n < 40000000) iseed = std::rand();
// iseed = 0;
//TRandom3 r3(0);
//r.SetSeed( 0 ); // generate random seeds
//TRandom3 r3(0);
//r.SetSeed (static_cast<UInt_t> (4294967296.*r3.Rndm()) );
// estimate PI
double n1=0;
double rn[2000];
double x;
double y;
for (int ievt = 0; ievt < n; ievt+=1000 ) {
r.RndmArray(2000,rn);
for (int i=0; i < 1000; i++) {
x=rn[2*i];
y=rn[2*i+1];
if ( ( x*x + y*y ) <= 1.0 ) n1++;
}
}
double piEstimate = 4.0 * double(n1)/double(n);
double delta = piEstimate-PI;
h->Fill(delta);
}
w.Stop();
std::cout << std::endl;
std::cout << "Random: " << typeid(r).name()
<< "\n\tTime = " << w.RealTime() << " " << w.CpuTime() << std::endl;
std::cout << "Time/call: " << w.CpuTime()/(2*n)*1.0E9 << std::endl;
}
void likelihood_fit_tim()
{
TStopwatch timer;
// Define histogarams
gStyle->SetOptFit(0);
gStyle->SetOptStat(111111);
// Get data
timer.Start();
//getDataLft2();
//getDataCLft();
getDataLft();
//genDataMs();
// Do binned fit
// Do unbinned likelihood fit
//unbinFitg();
//unbinFitgp();
unbinFitlft();
//unbinFitosc();
//unbinFitosc_d();
// stop timer and print results
timer.Stop();
Double_t rtime = timer.RealTime();
Double_t ctime = timer.CpuTime();
cout << "Real time " << rtime << endl;
cout << "CPU time " << ctime << endl;
// Draw histograms
// TF1 *f2 = new TF1("f2", lifetime_plt, -4., 15., 2);
// f2->SetParameter(0,1.);
// f2->SetParameter(1,1.5);
// f2->Draw();
//h1->Draw("same");
}
void h2fast(const char *url , Bool_t draw=kFALSE, Long64_t cachesize=10000000, Int_t learn=1) {
// gEnv->SetValue("TFile.DavixLog", 10);
// gDebug= 0x02;
TStopwatch sw;
TTree* T = NULL;
sw.Start();
Long64_t oldb = TFile::GetFileBytesRead();
TFile *f = TFile::Open(url);
if (!f || f->IsZombie()) {
printf("File h1big.root does not exist\n");
exit (-1);
}
// TTreeCacheUnzip::SetParallelUnzip(TTreeCacheUnzip::kEnable);
T= (TTree*)f->Get("h42");
Long64_t nentries = T->GetEntries();
T->SetCacheSize(cachesize);
TTreeCache::SetLearnEntries(learn);
TFileCacheRead *tpf = f->GetCacheRead();
//tpf->SetEntryRange(0,nentries);
if (draw) T->Draw("rawtr","E33>20");
else {
TBranch *brawtr = T->GetBranch("rawtr");
TBranch *bE33 = T->GetBranch("E33");
Float_t E33;
bE33->SetAddress(&E33);
for (Long64_t i=0;i<nentries;i++) {
T->LoadTree(i);
bE33->GetEntry(i);
if (E33 > 0) brawtr->GetEntry(i);
}
}
if (tpf) tpf->Print();
printf("Bytes read = %lld\n",TFile::GetFileBytesRead()-oldb);
printf("Real Time = %7.3f s, CPUtime = %7.3f s\n",sw.RealTime(),sw.CpuTime());
delete T;
delete f;
}
void billr(Int_t compress) {
//read N histograms from keys
timer.Start();
TFile f("bill.root");
TIter next(f.GetListOfKeys());
TH1F *h;
TH1::AddDirectory(kFALSE);
TKey *key;
Int_t i=0;
TH1F *hmean = new TH1F("hmean","hist mean from keys",100,0,1);
while ((key=(TKey*)next())) {
h = (TH1F*)key->ReadObj();
hmean->Fill(h->GetMean());
delete h;
i++;
}
timer.Stop();
printf("billr%d : RT=%7.3f s, Cpu=%7.3f s\n",compress,timer.RealTime(),timer.CpuTime());
}
void makePlots() {
gSystem->AddIncludePath("-I$ROOFITSYS/include");
gROOT->LoadMacro("analyze.C+");
TStopwatch ts;
ts.Start();
TString input_ele = "ELE_FILE_TO_RUN";
TString input_muon = "MUON_FILE_TO_RUN";
bool addMC = true;
int intLumi = 19712; // quote to 19.7
double metCut = -1.;
bool displayKStest = false;
bool blinded = false;
int nPhotons_req = NUM_PHOTONS_REQUIRED;
const int nChannels = 4;
TString channels[nChannels] = {"ele_jjj", "ele_bjj",
"muon_jjj", "muon_bjj"};
int nBtagReq[nChannels] = {0, 1,
0, 1};
for(int i = 0; i < nChannels; i++) {
if(i != 1 && i != 3) continue;
if(i < 2) analyze(input_ele, addMC, i, intLumi, metCut, nPhotons_req, nBtagReq[i], displayKStest, blinded, 0);
else analyze(input_muon, addMC, i, intLumi, metCut, nPhotons_req, nBtagReq[i], displayKStest, blinded, 0);
}
ts.Stop();
std::cout << "RealTime : " << ts.RealTime()/60.0 << " minutes" << std::endl;
std::cout << "CPUTime : " << ts.CpuTime()/60.0 << " minutes" << std::endl;
}
void findHits(TString inputFile="", TString outputFile="", Int_t nEvents = 0)
{
// ----- Timer --------------------------------------------------------
TStopwatch timer;
timer.Start();
// ------------------------------------------------------------------------
// ----- Create analysis run ----------------------------------------
FairRunAna* fRun = new FairRunAna();
fRun->SetInputFile(inputFile);
fRun->SetOutputFile(outputFile);
// Hit finder
R3BCalifaCrystalCal2Hit *hitFinder = new R3BCalifaCrystalCal2Hit();
// Select s438b Demonstrator Geometry
hitFinder->SelectGeometryVersion(0x438b);
hitFinder->SetAngularWindow(6.0*TMath::Pi()/180.0, 6.0*TMath::Pi()/180.0, 0);
fRun->AddTask(hitFinder);
fRun->Init();
FairLogger::GetLogger()->SetLogScreenLevel("INFO");
// FairLogger::GetLogger()->SetLogVerbosityLevel("HIGH");
fRun->Run(0,nEvents);
delete fRun;
// ----- Finish -------------------------------------------------------
timer.Stop();
Double_t rtime = timer.RealTime();
Double_t ctime = timer.CpuTime();
cout << endl << endl;
cout << "Macro finished succesfully." << endl;
cout << "Real time " << rtime << " s, CPU time " << ctime << " s" << endl;
cout << endl;
// ------------------------------------------------------------------------
}
void bill() {
TStopwatch totaltimer;
totaltimer.Start();
for (Int_t compress=0;compress<2;compress++) {
billw(compress);
billr(compress);
billtw(compress);
billtr(compress);
}
gSystem->Unlink("bill.root");
gSystem->Unlink("billt.root");
totaltimer.Stop();
Double_t rtime = totaltimer.RealTime();
Double_t ctime = totaltimer.CpuTime();
printf("billtot : RT=%7.3f s, Cpu=%7.3f s\n",rtime,ctime);
//reference is a P IV 2.4 GHz
Float_t rootmarks = 600*(16.98 + 14.40)/(rtime + ctime);
printf("******************************************************************\n");
printf("* ROOTMARKS =%6.1f * Root%-8s %d/%d\n",rootmarks,gROOT->GetVersion(),gROOT->GetVersionDate(),gROOT->GetVersionTime());
printf("******************************************************************\n");
}
int execSaxParserSimple()
{
const Int_t nIterations = 1000;
TSAXParser *saxParser = new TSAXParser();
SAXHandler *saxHandler = new SAXHandler();
TStopwatch timer;
saxParser->ConnectToHandler("SAXHandler", saxHandler);
timer.Start();
for (Int_t i = 0; i < nIterations; i++) {
saxParser->ParseFile("./saxSimpleExample.xml");
saxHandler->Quiet();
}
auto realTime = timer.RealTime();
float threshold = 15;
#ifdef __aarch64__
threshold = 30;
#endif
if (realTime > threshold)
std::cout << "WARNING: The parsing took " << realTime << " seconds. This may be too much\n";
return 0;
}
void run_PPToGammaGammaFiles() {
gROOT->LoadMacro("FlatTreeMaker_Delphes_PPToGammaGammaFiles_C.so");
TChain* fChain = new TChain("Delphes");
ifstream sourceFiles("PPToGammaGammaFiles.txt");
char line[128];
int count = 0;
cout<< "Adding files from PPToGammaGammaFiles to chain..."<< endl;
while (sourceFiles >> line) {
fChain->Add(line);
++count;
}
cout << count<<" files added!"<<endl;
sourceFiles.close();
TStopwatch timer;
timer.Start();
fChain->Process("FlatTreeMaker_Delphes");
cout << "\n\nDone!" << endl;
cout << "CPU Time : " << timer.CpuTime() <<endl;
cout << "RealTime : " << timer.RealTime() <<endl;
cout <<"\n";
}
void RAA_dataDrivenUnfoldingErrorCheck(int radius = 4, int radiusPP = 4, char* algo = (char*) "Pu", char *jet_type = (char*) "PF", int unfoldingCut = 30, char* etaWidth = (char*) "n20_eta_p20", double deltaEta = 4.0){
TStopwatch timer;
timer.Start();
TH1::SetDefaultSumw2();
TH2::SetDefaultSumw2();
bool printDebug = true;
// get the data and mc histograms from the output of the read macro.
TDatime date;//this is just here to get them to run optimized.
// Raghav's files:
//TFile * fPbPb_in = TFile::Open(Form("/afs/cern.ch/work/r/rkunnawa/WORK/RAA/CMSSW_5_3_18/src/Output/PbPb_CutEfficiency_YetkinCuts_matched_slantedlinecalopfpt_addingunmatched_exclusionhighertriggers_eMaxSumcand_A_R0p%d.root",radius));
// //TFile * fPP_in = TFile::Open(Form("/afs/cern.ch/work/r/rkunnawa/WORK/RAA/CMSSW_5_3_18/src/Output/Pp_CutEfficiency_YetkinCuts_matched_slantedlinecalopfpt_addingunmatched_exclusionhighertriggers_eMaxSumcand_A_R0p%d.root",radius));
//TFile * fPP_in = TFile::Open(Form("/afs/cern.ch/work/r/rkunnawa/WORK/RAA/CMSSW_5_3_18/src/Output/Pp_CutEfficiency_noJetID_exclusionhighertriggers_A_R0p%d.root",radius));
// Pawan's files:
TFile * fPbPb_in = TFile::Open(Form("/afs/cern.ch/work/r/rkunnawa/WORK/RAA/CMSSW_5_3_18/src/Output/Pawan_ntuplehistograms/PbPb_CutEfficiency_YetkinCuts_matched_slantedlinecalopfpt_addingunmatched_exclusionhighertriggers_eMaxSumcand_A_R0p%d.root",radius));
//TFile * fPP_in = TFile::Open(Form("/afs/cern.ch/work/r/rkunnawa/WORK/RAA/CMSSW_5_3_18/src/Output/Pp_CutEfficiency_YetkinCuts_matched_slantedlinecalopfpt_addingunmatched_exclusionhighertriggers_eMaxSumcand_A_R0p%d.root",radius));
TFile * fPP_in = TFile::Open(Form("/afs/cern.ch/work/r/rkunnawa/WORK/RAA/CMSSW_5_3_18/src/Output/Pawan_ntuplehistograms/Pp_CutEfficiency_YetkinCuts_matched_slantedlinecalopfpt_addingunmatched_exclusionhighertriggers_eMaxSumcand_A_R0p%d.root",radius));
TFile * fPbPb_MB_in = TFile::Open(Form("/afs/cern.ch/work/r/rkunnawa/WORK/RAA/CMSSW_5_3_18/src/Output/PbPb_MinBiasUPC_CutEfficiency_YetkinCuts_matched_slantedlinecalopfpt_addingunmatched_exclusionhighertriggers_eMaxSumcand_A_R0p%d.root",radius));
//TH1F * htest = new TH1F("htest","",nbins_pt, boundaries_pt);
//Int_t unfoldingCutBin = htest->FindBin(unfoldingCut);
cout<<"after input file declaration"<<endl;
// need to make sure that the file names are in prefect order so that i can run them one after another.
// for the above condition, i might have to play with the date stamp.
const int nbins_cent = 6;
double boundaries_cent[nbins_cent+1] = {0,2,4,12,20,28,36};
double ncoll[nbins_cent+1] = {1660,1310,745,251,62.8,10.8,362.24};
// histogram declarations with the following initial appendage: d - Data, m - MC, u- Unfolded
// for the MC closure test, ive kept separate
// setup the radius and the eta bin loop here later. not for the time being. Aug 20th. only run the -2 < eta < 2 with the differenent centrality bins
TH1F *dPbPb_TrgComb[nbins_cent+1], *dPbPb_Comb[nbins_cent+1], *dPbPb_Trg80[nbins_cent+1], *dPbPb_Trg65[nbins_cent+1], *dPbPb_Trg55[nbins_cent+1], *dPbPb_1[nbins_cent+1], *dPbPb_2[nbins_cent+1], *dPbPb_3[nbins_cent+1], *dPbPb_80[nbins_cent+1], *dPbPb_65[nbins_cent+1], *dPbPb_55[nbins_cent+1];
TH1F *mPbPb_Gen[nbins_cent+1], *mPbPb_Reco[nbins_cent+1];
TH2F *mPbPb_Matrix[nbins_cent+1], *mPbPb_Response[nbins_cent+1], *mPbPb_ResponseNorm[nbins_cent+1];
TH1F *mPbPb_mcclosure_data[nbins_cent+1];
TH2F *mPbPb_mcclosure_Matrix[nbins_cent+1],*mPbPb_mcclosure_Response[nbins_cent+1], *mPbPb_mcclosure_ResponseNorm[nbins_cent+1];
TH1F *mPbPb_mcclosure_gen[nbins_cent+1];
const int Iterations = 20; //for unfolding systematics.
const int BayesIter = 4;
TH1F *uPbPb_Bayes[nbins_cent+1], *uPbPb_BinByBin[nbins_cent+1], *uPbPb_SVD[nbins_cent+1];
TH1F *uPbPb_BayesianIter[nbins_cent+1][Iterations];
TH1F *dPbPb_MinBias[nbins_cent];
TH1F *dPP_1, *dPP_2, *dPP_3, *dPP_Comb;
TH1F *mPP_Gen, *mPP_Reco;
TH2F *mPP_Matrix, *mPP_Response,*mPP_ResponseNorm;
TH1F *mPP_mcclosure_data;
TH2F *mPP_mcclosure_Matrix, *mPP_mcclosure_Response,*mPP_mcclosure_ResponseNorm;
TH1F *mPP_mcclosure_Gen;
TH1F *uPP_Bayes, *uPP_BinByBin, *uPP_SVD;
TH1F *uPP_BayesianIter[Iterations];
// would be better to read in the histograms and rebin them. come to think of it, it would be better to have them already rebinned (and properly scaled - to the level of differential cross section in what ever barns (inverse micro barns) but keep it consistent) from the read macro.
// get PbPb data
for(int i = 0;i<nbins_cent;i++){
if(printDebug) cout<<"cent_"<<i<<endl;
dPbPb_TrgComb[i] = (TH1F*)fPbPb_in->Get(Form("hpbpb_HLTComb_R%d_n20_eta_p20_cent%d",radius,i));
//dPbPb_TrgComb[i]->Scale(4*145.156*1e6);
dPbPb_TrgComb[i]->Print("base");
dPbPb_Trg80[i] = (TH1F*)fPbPb_in->Get(Form("hpbpb_HLT80_R%d_n20_eta_p20_cent%d",radius,i));
//dPbPb_Trg80[i]->Scale(4*145.156*1e6);
dPbPb_Trg80[i]->Print("base");
dPbPb_Trg65[i] = (TH1F*)fPbPb_in->Get(Form("hpbpb_HLT65_R%d_n20_eta_p20_cent%d",radius,i));
//dPbPb_Trg65[i]->Scale(4*145.156*1e6);
dPbPb_Trg65[i]->Print("base");
dPbPb_Trg55[i] = (TH1F*)fPbPb_in->Get(Form("hpbpb_HLT55_R%d_n20_eta_p20_cent%d",radius,i));
//dPbPb_Trg55[i]->Scale(4*145.156*1e6);
dPbPb_Trg55[i]->Print("base");
//dPbPb_TrgComb[i] = (TH1F*)dPbPb_Trg80[i]->Clone(Form("Jet_80_triggered_spectra_data_PbPb_cent%d",i));
//dPbPb_MinBias[i] = (TH1F*)fPbPb_MB_in->Get(Form("hpbpb_HLTComb_R%d_n20_eta_p20_cent%d",radius,i));
//dPbPb_MinBias[i]->Print("base");
dPbPb_TrgComb[i]->Scale(1./(145.156 * 1e9));
//dPbPb_MinBias[i]->Scale(1./(161.939 * 1e9));
//dPbPb_TrgComb[i]->Add(dPbPb_MinBias[i]);
for(int k = 1;k<=unfoldingCut;k++) {
dPbPb_TrgComb[i]->SetBinContent(k,0);
dPbPb_Trg80[i]->SetBinContent(k,0);
dPbPb_Trg65[i]->SetBinContent(k,0);
dPbPb_Trg55[i]->SetBinContent(k,0);
}
}
//Int_t nSVDIter = 4;
if(printDebug)cout<<"loaded the data histograms PbPb"<<endl;
// get PbPb MC
for(int i = 0;i<nbins_cent;i++){
mPbPb_Gen[i] = (TH1F*)fPbPb_in->Get(Form("hpbpb_JetComb_gen_R%d_n20_eta_p20_cent%d",radius,i));
//mPbPb_Gen[i] = (TH1F*)fPbPb_in->Get(Form("hpbpb_gen_R%d_n20_eta_p20_cent%d",radius,i));
mPbPb_Gen[i]->Print("base");
mPbPb_Reco[i] = (TH1F*)fPbPb_in->Get(Form("hpbpb_JetComb_reco_R%d_n20_eta_p20_cent%d",radius,i));
//mPbPb_Reco[i] = (TH1F*)fPbPb_in->Get(Form("hpbpb_reco_R%d_n20_eta_p20_cent%d",radius,i));
mPbPb_Reco[i]->Print("base");
mPbPb_Matrix[i] = (TH2F*)fPbPb_in->Get(Form("hpbpb_matrix_HLT_R%d_n20_eta_p20_cent%d",radius,i));
//mPbPb_Matrix[i] = (TH2F*)fPbPb_in->Get(Form("hpbpb_matrix_R%d_n20_eta_p20_cent%d",radius,i));
mPbPb_Matrix[i]->Print("base");
mPbPb_mcclosure_data[i] = (TH1F*)fPbPb_in->Get(Form("hpbpb_mcclosure_JetComb_data_R%d_n20_eta_p20_cent%d",radius,i));
mPbPb_mcclosure_data[i]->Print("base");
mPbPb_mcclosure_gen[i] = (TH1F*)fPbPb_in->Get(Form("hpbpb_mcclosure_gen_JetComb_R%d_n20_eta_p20_cent%d",radius,i));
mPbPb_mcclosure_gen[i]->Print("base");
mPbPb_mcclosure_Matrix[i] = (TH2F*)fPbPb_in->Get(Form("hpbpb_mcclosure_matrix_HLT_R%d_n20_eta_p20_cent%d",radius,i));
mPbPb_mcclosure_Matrix[i]->Print("base");
//since SVD is very straight forward, lets do it rignt here:
//get the SVD response matrix:
//RooUnfoldResponse ruResponse(mPbPb_Matrix[i]->ProjectionY(),mPbPb_Matrix[i]->ProjectionX(), mPbPb_Matrix[i],"","");
//regularization parameter definition:
//RooUnfoldSvd unfoldSvd(&ruResponse, dPbPb_TrgComb[i], nSVDIter);
//uPbPb_SVD[i] = (TH1F*)unfoldSvd.Hreco();
// for(int k = 1;k<=unfoldingCut;k++){
// mPbPb_Gen[i]->SetBinContent(k,0);
// mPbPb_Reco[i]->SetBinContent(k,0);
// mPbPb_mcclosure_data[i]->SetBinContent(k,0);
// mPbPb_mcclosure_gen[i]->SetBinContent(k,0);
// for(int l = 1;l<=1000;l++){
// mPbPb_Matrix[i]->SetBinContent(k,l,0);
// mPbPb_mcclosure_Matrix[i]->SetBinContent(k,l,0);
// mPbPb_Matrix[i]->SetBinContent(l,k,0);
// mPbPb_mcclosure_Matrix[i]->SetBinContent(l,k,0);
// }
// }
//mPbPb_Response[i] = new TH2F(Form("mPbPb_Response_cent%d",i),"Response Matrix",nbins_pt,boundaries_pt,nbins_pt,boundaries_pt);
//mPbPb_ResponseNorm[i] = new TH2F(Form("mPbPb_ResponseNorm_cent%d",i),"Normalized Response Matrix",nbins_pt,boundaries_pt,nbins_pt,boundaries_pt);
}
if(printDebug) cout<<"loaded the data and mc PbPb histograms from the files"<<endl;
// get PP data
if(printDebug) cout<<"Getting PP data and MC"<<endl;
dPP_1 = (TH1F*)fPP_in->Get(Form("hpp_HLT80_R%d_%s",radiusPP,etaWidth));
dPP_1->Print("base");
dPP_2 = (TH1F*)fPP_in->Get(Form("hpp_HLT60_R%d_%s",radiusPP,etaWidth));
dPP_2->Print("base");
dPP_3 = (TH1F*)fPP_in->Get(Form("hpp_HLT40_R%d_%s",radiusPP,etaWidth));
dPP_3->Print("base");
dPP_Comb = (TH1F*)fPP_in->Get(Form("hpp_HLTComb_R%d_%s",radiusPP,etaWidth));
//dPP_Comb = (TH1F*)dPP_1->Clone(Form("hpp_TrgComb_R%d_n20_eta_p20",radiusPP,etaWidth));
dPP_Comb->Print("base");
dPP_Comb->Scale(1./(5.3 * 1e9));
for(int k = 1;k<=unfoldingCut;k++) {
dPP_Comb->SetBinContent(k,0);
dPP_1->SetBinContent(k,0);
dPP_2->SetBinContent(k,0);
dPP_3->SetBinContent(k,0);
}
// get PP MC
mPP_Gen = (TH1F*)fPP_in->Get(Form("hpp_JetComb_gen_R%d_%s",radiusPP,etaWidth));
mPP_Gen->Print("base");
mPP_Reco = (TH1F*)fPP_in->Get(Form("hpp_JetComb_reco_R%d_%s",radiusPP,etaWidth));
mPP_Reco->Print("base");
mPP_Matrix = (TH2F*)fPP_in->Get(Form("hpp_matrix_HLT_R%d_%s",radiusPP,etaWidth));
mPP_Matrix->Print("base");
mPP_mcclosure_data = (TH1F*)fPP_in->Get(Form("hpp_mcclosure_JetComb_data_R%d_%s",radiusPP,etaWidth));
mPP_mcclosure_data->Print("base");
mPP_mcclosure_Matrix = (TH2F*)fPP_in->Get(Form("hpp_mcclosure_matrix_HLT_R%d_%s",radiusPP,etaWidth));
mPP_mcclosure_Matrix->Print("base");
//RooUnfoldResponse ruResponsePP(mPP_Matrix->ProjectionY(),mPP_Matrix->ProjectionX(), mPP_Matrix,"","");
//regularization parameter definition:
//RooUnfoldSvd unfoldSvdPP(&ruResponsePP, dPP_Comb, nSVDIter);
//uPP_SVD = (TH1F*)unfoldSvdPP.Hreco();
// for(int k = 1;k<=unfoldingCut;k++){
// mPP_Gen->SetBinContent(k,0);
// mPP_Reco->SetBinContent(k,0);
// mPP_mcclosure_data->SetBinContent(k,0);
// for(int l = 1;l<=1000;l++){
// mPP_Matrix->SetBinContent(k,l,0);
// mPP_mcclosure_Matrix->SetBinContent(k,l,0);
// mPP_Matrix->SetBinContent(l,k,0);
// mPP_mcclosure_Matrix->SetBinContent(l,k,0);
// }
// }
if(printDebug) cout<<"Filling the PbPb response Matrix"<<endl;
// response matrix and unfolding for PbPb
// going to try it the way kurt has it.
for(int i = 0;i<nbins_cent;i++){
if(printDebug) cout<<"centrality bin iteration = "<<i<<endl;
TF1 *f = new TF1("f","[0]*pow(x+[2],[1])");
f->SetParameters(1e10,-8.8,40);
// TH1F *hGenSpectraCorr = (TH1F*)mPbPb_Matrix[i]->ProjectionX()->Clone(Form("hGenSpectraCorr_cent%d",i));
// hGenSpectraCorr->Fit("f"," ");
// hGenSpectraCorr->Fit("f","","");
// hGenSpectraCorr->Fit("f","LL");
// TH1F *fHist = functionHist(f,hGenSpectraCorr,Form("fHist_cent%d",i));// function that you get from the fitting
// hGenSpectraCorr->Divide(fHist);
for (int y=1;y<=mPbPb_Matrix[i]->GetNbinsY();y++) {
double sum=0;
for (int x=1;x<=mPbPb_Matrix[i]->GetNbinsX();x++) {
if (mPbPb_Matrix[i]->GetBinContent(x,y)<=1*mPbPb_Matrix[i]->GetBinError(x,y)) {
//in the above line mine had 0*getbinerror while Kurt's had 1*.
mPbPb_Matrix[i]->SetBinContent(x,y,0);
mPbPb_Matrix[i]->SetBinError(x,y,0);
}
sum+=mPbPb_Matrix[i]->GetBinContent(x,y);
}
for (int x=1;x<=mPbPb_Matrix[i]->GetNbinsX();x++) {
double ratio = 1;
// if (hGenSpectraCorr->GetBinContent(x)!=0) ratio = 1e5/hGenSpectraCorr->GetBinContent(x);
mPbPb_Matrix[i]->SetBinContent(x,y,mPbPb_Matrix[i]->GetBinContent(x,y)*ratio);
mPbPb_Matrix[i]->SetBinError(x,y,mPbPb_Matrix[i]->GetBinError(x,y)*ratio);
}
}
//mPbPb_Matrix[i]->Smooth(0);
// Ok major differences here between my code and Kurt in b-jet Tools under Unfold - lines 469 and above.
mPbPb_Response[i] = (TH2F*)mPbPb_Matrix[i]->Clone(Form("mPbPb_Response_cent%d",i));
TH1F *hProj = (TH1F*)mPbPb_Response[i]->ProjectionY()->Clone(Form("hProj_cent%d",i));
for (int y=1;y<=mPbPb_Response[i]->GetNbinsY();y++) {
double sum=0;
for (int x=1;x<=mPbPb_Response[i]->GetNbinsX();x++) {
if (mPbPb_Response[i]->GetBinContent(x,y)<=1*mPbPb_Response[i]->GetBinError(x,y)) {
// in the above if loop, kurt has 1*error and my old had 0*error
mPbPb_Response[i]->SetBinContent(x,y,0);
mPbPb_Response[i]->SetBinError(x,y,0);
}
sum+=mPbPb_Response[i]->GetBinContent(x,y);
}
for (int x=1;x<=mPbPb_Response[i]->GetNbinsX();x++) {
if (sum==0) continue;
double ratio = 1;
//if(dPbPb_TrgComb[i]->GetBinContent(y)==0) ratio = 1e-100/sum;
// else ratio = dPbPb_TrgComb[i]->GetBinContent(y)/sum
ratio = 1./sum;
if (hProj->GetBinContent(y)==0) ratio = 1e-100/sum;
else ratio = hProj->GetBinContent(y)/sum;
mPbPb_Response[i]->SetBinContent(x,y,mPbPb_Response[i]->GetBinContent(x,y)*ratio);
mPbPb_Response[i]->SetBinError(x,y,mPbPb_Response[i]->GetBinError(x,y)*ratio);
}
}
mPbPb_ResponseNorm[i] = (TH2F*)mPbPb_Matrix[i]->Clone(Form("mPbPb_ResponseNorm_cent%d",i));
for (int x=1;x<=mPbPb_ResponseNorm[i]->GetNbinsX();x++) {
double sum=0;
for (int y=1;y<=mPbPb_ResponseNorm[i]->GetNbinsY();y++) {
if (mPbPb_ResponseNorm[i]->GetBinContent(x,y)<=1*mPbPb_ResponseNorm[i]->GetBinError(x,y)) {
mPbPb_ResponseNorm[i]->SetBinContent(x,y,0);
mPbPb_ResponseNorm[i]->SetBinError(x,y,0);
}
sum+=mPbPb_ResponseNorm[i]->GetBinContent(x,y);
}
for (int y=1;y<=mPbPb_ResponseNorm[i]->GetNbinsY();y++) {
if (sum==0) continue;
double ratio = 1./sum;
mPbPb_ResponseNorm[i]->SetBinContent(x,y,mPbPb_ResponseNorm[i]->GetBinContent(x,y)*ratio);
mPbPb_ResponseNorm[i]->SetBinError(x,y,mPbPb_ResponseNorm[i]->GetBinError(x,y)*ratio);
}
}
}
if(printDebug) cout<<"Filling PP response Matrix"<<endl;
// response matrix for pp.
// Kurt doesnt have this whole hGenSpectraCorr thing in his macro. need to check why the difference exists between out codes
TF1 *fpp = new TF1("fpp","[0]*pow(x+[2],[1])");
fpp->SetParameters(1e10,-8.8,40);
// if(printDebug) cout<<"before getting the gen spectra corr matrix"<<endl;
// TH1F *hGenSpectraCorrPP = (TH1F*)mPP_Matrix->ProjectionX()->Clone("hGenSpectraCorrPP");
// if(printDebug) cout<<"after gettign the gen spectra corr matrix"<<endl;
// hGenSpectraCorrPP->Fit("f"," ");
// hGenSpectraCorrPP->Fit("f","","");
// hGenSpectraCorrPP->Fit("f","LL");
// TH1F *fHistPP = functionHist(fpp,hGenSpectraCorrPP,"fHistPP");// that the function that you get from the fitting
// hGenSpectraCorrPP->Divide(fHistPP);
for (int y=1;y<=mPP_Matrix->GetNbinsY();y++) {
double sum=0;
for (int x=1;x<=mPP_Matrix->GetNbinsX();x++) {
if (mPP_Matrix->GetBinContent(x,y)<=1*mPP_Matrix->GetBinError(x,y)) {
mPP_Matrix->SetBinContent(x,y,0);
mPP_Matrix->SetBinError(x,y,0);
}
sum+=mPP_Matrix->GetBinContent(x,y);
}
for (int x=1;x<=mPP_Matrix->GetNbinsX();x++) {
double ratio = 1;
// if (hGenSpectraCorrPP->GetBinContent(x)!=0) ratio = 1e5/hGenSpectraCorrPP->GetBinContent(x);
mPP_Matrix->SetBinContent(x,y,mPP_Matrix->GetBinContent(x,y)*ratio);
mPP_Matrix->SetBinError(x,y,mPP_Matrix->GetBinError(x,y)*ratio);
}
}
// mPbPb_Matrix[i]->Smooth(0);
// Ok major differences here between my code and Kurt in b-jet Tools under Unfold - lines 469 and above.
if(printDebug) cout<<"getting the response matrix"<<endl;
mPP_Response = (TH2F*)mPP_Matrix->Clone("mPP_Response");
TH1F *hProjPP = (TH1F*)mPP_Response->ProjectionY()->Clone("hProjPP");
for (int y=1;y<=mPP_Response->GetNbinsY();y++) {
double sum=0;
for (int x=1;x<=mPP_Response->GetNbinsX();x++) {
if (mPP_Response->GetBinContent(x,y)<=1*mPP_Response->GetBinError(x,y)) {
// in the above if statement, kurt has 1*error and my old has 0*error
mPP_Response->SetBinContent(x,y,0);
mPP_Response->SetBinError(x,y,0);
}
sum+=mPP_Response->GetBinContent(x,y);
}
for (int x=1;x<=mPP_Response->GetNbinsX();x++) {
if (sum==0) continue;
double ratio = 1;
//if(dPbPb_TrgComb[i]->GetBinContent(y)==0) ratio = 1e-100/sum;
// else ratio = dPbPb_TrgComb[i]->GetBinContent(y)/sum
ratio = 1./sum;
if (hProjPP->GetBinContent(y)==0) ratio = 1e-100/sum;
else ratio = hProjPP->GetBinContent(y)/sum;
mPP_Response->SetBinContent(x,y,mPP_Response->GetBinContent(x,y)*ratio);
mPP_Response->SetBinError(x,y,mPP_Response->GetBinError(x,y)*ratio);
}
}
if(printDebug) cout<<"getting the normalized response matrix"<<endl;
mPP_ResponseNorm = (TH2F*)mPP_Matrix->Clone("mPP_ResponseNorm");
for (int x=1;x<=mPP_ResponseNorm->GetNbinsX();x++) {
double sum=0;
for (int y=1;y<=mPP_ResponseNorm->GetNbinsY();y++) {
if (mPP_ResponseNorm->GetBinContent(x,y)<=1*mPP_ResponseNorm->GetBinError(x,y)) {
mPP_ResponseNorm->SetBinContent(x,y,0);
mPP_ResponseNorm->SetBinError(x,y,0);
}
sum+=mPP_ResponseNorm->GetBinContent(x,y);
}
for (int y=1;y<=mPP_ResponseNorm->GetNbinsY();y++) {
if (sum==0) continue;
double ratio = 1./sum;
mPP_ResponseNorm->SetBinContent(x,y,mPP_ResponseNorm->GetBinContent(x,y)*ratio);
mPP_ResponseNorm->SetBinError(x,y,mPP_ResponseNorm->GetBinError(x,y)*ratio);
}
}
// scale the spectra to the respective units
// for(int i = 0;i<nbins_cent;++i){
// dPbPb_TrgComb[i] = (TH1F*)dPbPb_TrgComb[i]->Rebin(nbins_pt,Form("PbPb_measured_spectra_combined_cent%d",i),boundaries_pt);
// divideBinWidth(dPbPb_TrgComb[i]);
// }
// dPP_Comb = (TH1F*)dPP_Comb->Rebin(nbins_pt,"pp_measured_spectra_combined",boundaries_pt);
// divideBinWidth(dPP_Comb);
// dPP_Comb->Scale(1./ dPP_Comb->GetBinContent(nbins_pt));
// Now that we have all the response matrix for the 6 centralities in PbPb and one pp spectra lets start doing the steps:
// we have 39 pt bins, so we need 1000 gaussian functions for each pt bin.
Int_t unfoldingTrials = 200;
Double_t meanMeasPbPb[nbins_pt][nbins_cent], sigmaMeasPbPb[nbins_pt][nbins_cent];
Double_t meanMeasPP[nbins_pt], sigmaMeasPP[nbins_pt];
Double_t meanUnfoldPbPb[nbins_pt][nbins_cent][unfoldingTrials], sigmaUnfoldPbPb[nbins_pt][nbins_cent][unfoldingTrials];
Double_t meanUnfoldPP[nbins_pt][unfoldingTrials], sigmaUnfoldPP[nbins_pt][unfoldingTrials];
TRandom3 *random = new TRandom3(0);
for(int u = 0;u<unfoldingTrials;++u){
cout<<"unfolding trial no = "<<u+1<<endl;
for(int j = 0;j<nbins_pt;++j){
for(int i = 0;i<nbins_cent;++i){
meanMeasPbPb[j][i] = dPbPb_TrgComb[i]->GetBinContent(j+1);
sigmaMeasPbPb[j][i] = dPbPb_TrgComb[i]->GetBinError(j+1);
}// centrality loop
meanMeasPP[j] = dPP_Comb->GetBinContent(j+1);
sigmaMeasPP[j] = dPP_Comb->GetBinContent(j+1);
}// nbins_pt loop
// now proceed to unfolding for each trial.
for(int i = 0;i<nbins_cent;++i){
//cout<<"centrality = "<<i<<endl;
TH1F * hPreUnfoldingSpectra = new TH1F("hPreUnfoldingSpectra","",nbins_pt,0,nbins_pt);
TH1F * hAfterUnfoldingSpectra;
for(int j = 0;j<nbins_pt;++j){
hPreUnfoldingSpectra->SetBinContent(j+1, random->Gaus(meanMeasPbPb[j][i], sigmaMeasPbPb[j][i]));
hPreUnfoldingSpectra->SetBinError(j+1, sigmaMeasPbPb[j][i]/sqrt(unfoldingTrials));
//if(j==100)cout << " before unfolding bin " << j << " value = " << hPreUnfoldingSpectra->GetBinContent(j+1)<<endl;
//if(j==100)cout << " before unfolding bin " << j << " error = " << hPreUnfoldingSpectra->GetBinError(j+1)<<endl;
}// nbins_pt loop
TH1F* hMCGen = (TH1F*)mPbPb_Response[i]->ProjectionX();
removeZero(hMCGen);
//cout << " MC bin " << 100 << " value = " << hMCGen->GetBinContent(100)<<endl;
bayesianUnfold myUnfoldingMulti(mPbPb_Matrix[i], hMCGen, 0);
myUnfoldingMulti.unfold(hPreUnfoldingSpectra, BayesIter);
hAfterUnfoldingSpectra = (TH1F*) myUnfoldingMulti.hPrior->Clone("hAfterUnfoldingSpectra");
for(int j = 0;j<nbins_pt;++j){
//if(j==100)cout << " before unfolding bin " << j << " value = " << hPreUnfoldingSpectra->GetBinContent(j+1)<<endl;
//if(j==100)cout << " after unfolding bin " << j << " value = " << hAfterUnfoldingSpectra->GetBinContent(j+1)<<endl;
meanUnfoldPbPb[j][i][u] = hAfterUnfoldingSpectra->GetBinContent(j+1);
sigmaUnfoldPbPb[j][i][u] = hAfterUnfoldingSpectra->GetBinError(j+1);
// cout << "after unfolding meanUnfoldPbPb[" << j << "][" << i << "][" << u<< "] = " <<meanUnfoldPbPb[j][i][u]<<" ";
// cout << "after unfolding meanUnfoldPbPb[" << j << "][" << i << "][" << u<< "] = " <<sigmaUnfoldPbPb[j][i][u]<<endl;
}// nbins_pt loop
//hPreUnfoldingSpectra->Print("base");
//hAfterUnfoldingSpectra->Print("base");
delete hPreUnfoldingSpectra;
delete hAfterUnfoldingSpectra;
delete hMCGen;
}// centrality loop
cout<<"pp "<<endl;
// now do it for the pp:
TH1F * hPreUnfoldingSpectraPP = new TH1F("hPreUnfoldingSpectraPP","",nbins_pt,0,nbins_pt);
TH1F * hAfterUnfoldingSpectraPP;
for(int j = 0;j<nbins_pt;++j){
hPreUnfoldingSpectraPP->SetBinContent(j+1, random->Gaus(meanMeasPP[j], sigmaMeasPP[j]));
hPreUnfoldingSpectraPP->SetBinError(j+1, sigmaMeasPP[j]/sqrt(unfoldingTrials));
}// nbins_pt loop
TH1F* hMCGenPP = (TH1F*)mPP_Response->ProjectionX();
removeZero(hMCGenPP);
bayesianUnfold myUnfoldingMultiPP(mPP_Matrix, hMCGenPP, 0);
myUnfoldingMultiPP.unfold(hPreUnfoldingSpectraPP, BayesIter);
hAfterUnfoldingSpectraPP = (TH1F*) myUnfoldingMultiPP.hPrior->Clone("hAfterUnfoldingSpectraPP");
for(int j = 0;j<nbins_pt;++j){
meanUnfoldPP[j][u] = hAfterUnfoldingSpectraPP->GetBinContent(j+1);
sigmaUnfoldPP[j][u] = hAfterUnfoldingSpectraPP->GetBinError(j+1);
}// nbins_pt loop
delete hPreUnfoldingSpectraPP;
delete hAfterUnfoldingSpectraPP;
delete hMCGenPP;
}// unfolding trials loop
// Now that we have all the necesary values we need, lets proceed to fill a histogram with the mean values for each ptbin and get the corrected values.
TH1F * hAfterUnfoldingptBinDistribution[nbins_pt];
TH1F * hCorrUnfoldingPbPb[nbins_cent];
for(int i = 0;i<nbins_cent;++i){
hCorrUnfoldingPbPb[i] = new TH1F(Form("PbPb_BayesianUnfolded_cent%d",i),"Spectra after correction", nbins_pt, 0, nbins_pt);
for(int j = 0;j<nbins_pt;++j){
//hAfterUnfoldingptBinDistribution[j] = new TH1F(Form("hAfterUnfoldingptBinDistribution_ptBin%d",j),"",100, (meanMeasPbPb[j][i]-10) * sigmaMeasPbPb[j][i], (meanMeasPbPb[j][i]+10) * sigmaMeasPbPb[j][i]);
hAfterUnfoldingptBinDistribution[j] = new TH1F(Form("hAfterUnfoldingptBinDistribution_ptBin%d",j),"",100, 0, 1);
for(int u = 0;u<unfoldingTrials;++u){
hAfterUnfoldingptBinDistribution[j]->Fill(meanUnfoldPbPb[j][i][u]);
//if(j==100) cout<< "unfolding_trial = " << u+1 << " mean unfold value = "<< meanUnfoldPbPb[j][i][u] <<endl;
}// unfolding trials loop
//if(j==100) cout<<"Mean of that value for pt=100 = "<< (Float_t)hAfterUnfoldingptBinDistribution[j]->GetMean() <<endl;
hCorrUnfoldingPbPb[i]->SetBinContent(j+1, hAfterUnfoldingptBinDistribution[j]->GetMean());
//cout<<"centrality bin "<<i<<", pT bin "<<j<<" bin Content = "<<hCorrUnfoldingPbPb[i]->GetBinContent(j+1)<<endl;
hCorrUnfoldingPbPb[i]->SetBinError(j+1, hAfterUnfoldingptBinDistribution[j]->GetRMS());
//cout<<"centrality bin "<<i<<", pT bin "<<j<<" bin Error = "<<hCorrUnfoldingPbPb[i]->GetBinError(j+1)<<endl;
delete hAfterUnfoldingptBinDistribution[j];
}// nbins_pt loop
}// centrality loop
// similar for the pp:
TH1F * hAfterUnfoldingptBinDistributionPP[nbins_pt];
TH1F * hCorrUnfoldingPP;
hCorrUnfoldingPP = new TH1F("PP_BayesianUnfolded","Spectra after unfolding error correction",nbins_pt, 0, nbins_pt);
for(int j = 0;j<nbins_pt;++j){
//hAfterUnfoldingptBinDistributionPP[j] = new TH1F(Form("hAfterUnfoldingptBinDistributionPP_ptBin%d",j),"",1000,(meanMeasPP[j]-10) * sigmaMeasPP[j], (meanMeasPP[j]+10) * sigmaMeasPP[j]);
hAfterUnfoldingptBinDistributionPP[j] = new TH1F(Form("hAfterUnfoldingptBinDistributionPP_ptBin%d",j),"",100, 0, 1);
for(int u = 0;u<unfoldingTrials;++u){
hAfterUnfoldingptBinDistributionPP[j]->Fill(meanUnfoldPP[j][u]);
}// unfolding trials loop
hCorrUnfoldingPP->SetBinContent(j+1, hAfterUnfoldingptBinDistributionPP[j]->GetMean());
//cout<<"PP pT bin "<<j<<" bin Content = "<<hCorrUnfoldingPP->GetBinContent(j+1)<<endl;
hCorrUnfoldingPP->SetBinError(j+1, hAfterUnfoldingptBinDistributionPP[j]->GetRMS());
//cout<<"PP pT bin "<<j<<" bin Error = "<<hCorrUnfoldingPP->GetBinError(j+1)<<endl;
delete hAfterUnfoldingptBinDistributionPP[j];
}// nbins_pt loop
TFile f(Form("../../Output/Pawan_ntuple_PbPb_R%d_pp_R%d_%s_unfoldingCut_%d_data_driven_correction_ak%s%s_%d.root",radius, radiusPP, etaWidth ,unfoldingCut,algo,jet_type,date.GetDate()),"RECREATE");
f.cd();
for(int i = 0;i<nbins_cent;i++) {
hCorrUnfoldingPbPb[i]->Scale(145.156 * 1e9);
//hCorrUnfoldingPbPb[i] = (TH1F*)hCorrUnfoldingPbPb[i]->Rebin(nbins_pt_coarse, Form("PbPb_BayesianUnfolded_cent%d",i), boundaries_pt_coarse);
hCorrUnfoldingPbPb[i]->Write();
hCorrUnfoldingPbPb[i]->Print("base");
dPbPb_TrgComb[i]->Scale(145.156 * 1e9);
//dPbPb_TrgComb[i] = (TH1F*)dPbPb_TrgComb[i]->Rebin(nbins_pt_coarse, Form("PbPb_measured_cent%d",i), boundaries_pt_coarse);
dPbPb_TrgComb[i]->Write();
dPbPb_TrgComb[i]->Print("base");
}
hCorrUnfoldingPP->Scale(5.3 * 1e9);
//hCorrUnfoldingPP = (TH1F*)hCorrUnfoldingPP->Rebin(nbins_pt_coarse, "PP_BayesianUnfolded", boundaries_pt_coarse);
hCorrUnfoldingPP->Write();
hCorrUnfoldingPP->Print("base");
dPP_Comb->Scale(5.3 * 1e9);
//dPP_Comb = (TH1F*)dPP_Comb->Rebin(nbins_pt_coarse, "PP_measured", boundaries_pt_coarse);
dPP_Comb->Write();
dPP_Comb->Print("base");
f.Write();
f.Close();
timer.Stop();
if(printDebug) cout<<"CPU time (mins) = "<<(Float_t)timer.CpuTime()/60<<endl;
if(printDebug) cout<<"Real tile (mins) = "<<(Float_t)timer.RealTime()/60<<endl;
}
