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ModelFixing.C
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ModelFixing.C
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#include "iostream"
#include "fstream"
#include <math.h>
#include "RooAddPdf.h"
#include "RooRealVar.h"
#include "RooCBShape.h"
#include "RooExponential.h"
#include "RooPlot.h"
#include "RooHist.h"
#include "RooDataSet.h"
#include "RooWorkspace.h"
#include "TFile.h"
#include "TAxis.h"
#include "TLine.h"
#include "TCanvas.h"
#include "TPad.h"
#include "TTree.h"
#include "TLorentzVector.h"
#include "TROOT.h"
#include "TSystem.h"
#include "RooFitHeaders.h"
using namespace RooFit;
using namespace TMath;
using namespace std;
RooAddPdf* CreateModel(RooRealVar* D_MM, RooRealVar* nSig_Dp, RooRealVar* nSig_Ds, RooRealVar* nBkg) {
// Signal model for D+
RooRealVar *mean_Dp = new RooRealVar("m_{D^+}", "m_{D^+}", 1869.6, 1850.0, 1890.0, "MeV/c^{2}");
RooRealVar *sigma1_Dp = new RooRealVar("sigma1_Dp", "sigma1_Dp", 5., 0., 20.0, "MeV/c^{2}");
RooRealVar *sigma2_Dp = new RooRealVar("sigma2_Dp", "sigma2_Dp", 10., 5., 40.0, "MeV/c^{2}");
RooRealVar *a1_Dp = new RooRealVar("a1_Dp", "a1_Dp", 1., 0.1, 100.);
RooRealVar *a2_Dp = new RooRealVar("a2_Dp", "a2_Dp", -5., -100, -.1);
RooRealVar *n_Dp = new RooRealVar("n_Dp", "n_Dp", 2.);
RooRealVar *cbf_Dp = new RooRealVar("cbf_Dp", "cbf_Dp", 0.5, 0., 1.);
RooCBShape *cb1_Dp = new RooCBShape("cb1_Dp", "D^{+} cb1", *D_MM, *mean_Dp, *sigma1_Dp, *a1_Dp, *n_Dp);
RooCBShape *cb2_Dp = new RooCBShape("cb2_Dp", "D^{+} cb2", *D_MM, *mean_Dp, *sigma2_Dp, *a2_Dp, *n_Dp);
RooAddPdf *signal_model_Dp = new RooAddPdf("signal_model_Dp", "D^+ sum of CBs", *cb1_Dp, *cb2_Dp, *cbf_Dp);
// Signal model for Ds
RooRealVar *mean_Ds = new RooRealVar("m_{D^+_s}", "m_{D^+_s}", 1968.5, 1950.0, 1990.0, "MeV/c^{2}");
RooRealVar *sigma1_Ds = new RooRealVar("sigma1_Ds", "sigma1_Ds", 5., 0., 20.0, "MeV/c^{2}");
RooRealVar *sigma2_Ds = new RooRealVar("sigma2_Ds", "sigma2_Ds", 10., 10., 40.0, "MeV/c^{2}");
RooRealVar *a1_Ds = new RooRealVar("a1_Ds", "a1_Ds", 1., 0.1, 100.);
RooRealVar *a2_Ds = new RooRealVar("a2_Ds", "a2_Ds", -5, -100, -.1);
RooRealVar *n_Ds = new RooRealVar("n_Ds", "n_Ds", 2.);
RooRealVar *cbf_Ds = new RooRealVar("cbf_Ds", "cbf_Ds", 0.5, 0., 1.);
RooCBShape *cb1_Ds = new RooCBShape("cb1_Ds", "D^{+} cb1", *D_MM, *mean_Ds, *sigma1_Ds, *a1_Ds, *n_Ds);
RooCBShape *cb2_Ds = new RooCBShape("cb2_Ds", "D^{+} cb2", *D_MM, *mean_Ds, *sigma2_Ds, *a2_Ds, *n_Ds);
RooAddPdf *signal_model_Ds = new RooAddPdf("signal_model_Ds", "D^+_s sum of CBs", *cb1_Ds, *cb2_Ds, *cbf_Ds);
RooRealVar* c0 = new RooRealVar("c0","c0", -2.98339e-01, -1.0, 1.0);
RooRealVar* c1 = new RooRealVar("c1","c1", 2.18777e-02, -0.1, 0.1);
RooChebychev* CombBG_PDF = new RooChebychev("CombBG_PDF","CombBG_PDF",*D_MM,RooArgSet(*c0,*c1));
// Exponential background model
// RooRealVar *K_CombBG = new RooRealVar("K_{CombBG}", "K_{CombBG}", -0.001, -1, 1, "c^{2}/MeV");
// RooExponential *CombBG_PDF = new RooExponential("CombBG_PDF", "CombBG_PDF", *D_MM, *K_CombBG);
return new RooAddPdf("Model", "Model", RooArgList(*signal_model_Dp, *signal_model_Ds, *CombBG_PDF), RooArgList(*nSig_Dp, *nSig_Ds, *nBkg));
}
RooFitResult* Fit_D2Pimumu_Mass( RooDataSet* Data, RooAddPdf* Model) {
RooFitResult* FitResult = Model->fitTo(*Data, Range(1810,2040), Extended(true), Save(true), Strategy(1));
return FitResult;
}
void PlotMass( RooRealVar* D_MM, RooDataSet* Data, RooAddPdf* Model, string phimodels_filename) {
D_MM->setRange("fit_range", 1810,2040);
RooPlot* frame = D_MM->frame(1810,2040, 100) ;
Data->plotOn(frame);
Model->plotOn(frame, NormRange("fit_range"), Components("CombBG_PDF"), LineColor(4), LineStyle(2));
Model->plotOn(frame, NormRange("fit_range"), Components("signal_model_Dp"), LineColor(3), LineStyle(1));
Model->plotOn(frame, NormRange("fit_range"), Components("signal_model_Ds"), LineColor(2), LineStyle(1));
Model->plotOn(frame, NormRange("fit_range"));
RooHist* hpull = frame->pullHist();
RooPlot* frame_pulls = D_MM->frame(1810,2040, 100) ;
frame_pulls->addPlotable(hpull,"P");
frame_pulls->SetTitle("");
frame_pulls->GetYaxis()->SetTitle("Pulls");
frame_pulls->GetYaxis()->SetTitleOffset(0.3);
frame_pulls->GetYaxis()->SetTitleSize(0.14);
frame_pulls->GetYaxis()->SetLabelSize(0.1);
frame_pulls->GetYaxis()->SetRangeUser(-5,5);
frame_pulls->GetXaxis()->SetTitle("");
frame_pulls->GetXaxis()->SetLabelSize(0);
TLine line1(1810,2,2040,2);
line1.SetLineColor(15);
line1.SetLineStyle(7);
TLine line2(1810,-2,2040,-2);
line2.SetLineColor(15);
line2.SetLineStyle(7);
TCanvas c("c", "c", 800, 800);
c.Divide(1,2);
int ipad=1; TPad* p1=(TPad*)c.cd(ipad); p1->SetPad(0., 0.21, 1., 1.); frame->Draw();
ipad++; TPad* p2=(TPad*)c.cd(ipad); p2->SetPad(0., 0., 1., 0.2); frame_pulls->Draw(); line1.Draw(); line2.Draw();
c.SaveAs(TString(phimodels_filename));
return;
}
double InvMass_mumu(RooDataSet* Data, int i) {
// Calculates the invariant mass of the two muons
// Use to select the normalisation channel phi->mumu for optimisation
// Note phi mass peak ~ 1000 MeV in m(mumu) distribution
double MuMass = 105.66; //PDG
TLorentzVector* MuPlus = new TLorentzVector();
TLorentzVector* MuMinus = new TLorentzVector();
double MuPlus_Px = Data->get(i)->getRealValue("muplus_PX");
double MuPlus_Py = Data->get(i)->getRealValue("muplus_PY");
double MuPlus_Pz = Data->get(i)->getRealValue("muplus_PZ");
double MuMinus_Px = Data->get(i)->getRealValue("muminus_PX");
double MuMinus_Py = Data->get(i)->getRealValue("muminus_PY");
double MuMinus_Pz = Data->get(i)->getRealValue("muminus_PZ");
double MuPlus_Psq = MuPlus_Px*MuPlus_Px + MuPlus_Py*MuPlus_Py + MuPlus_Pz*MuPlus_Pz;
double MuMinus_Psq = MuMinus_Px*MuMinus_Px + MuMinus_Py*MuMinus_Py + MuMinus_Pz*MuMinus_Pz;
double MuPlus_E = sqrt(MuPlus_Psq + MuMass*MuMass);
double MuMinus_E = sqrt(MuMinus_Psq + MuMass*MuMass);
MuPlus->SetPxPyPzE(MuPlus_Px, MuPlus_Py, MuPlus_Pz, MuPlus_E);
MuMinus->SetPxPyPzE(MuMinus_Px, MuMinus_Py, MuMinus_Pz, MuMinus_E);
TLorentzVector MuMu = *MuPlus + *MuMinus;
return MuMu.M();
}
void ModelFixing(const char* inputfilename, const char* phimodels_filename){
cout << "Running ModelFixing" << endl;
// Limits
Double_t MassMin = 1775.0;
Double_t MassMax = 2050.0;
// Get the data
TFile f1(inputfilename, "read");
TTree* D2PimumuTree = (TTree*) f1.Get("D2PimumuOSTuple/DecayTree");
// Disable all branches and only enable ones we need
D2PimumuTree->SetBranchStatus("*",0);
D2PimumuTree->SetBranchStatus("D_MM",1);
D2PimumuTree->SetBranchStatus("BDT",1);
D2PimumuTree->SetBranchStatus("muplus_PX",1);
D2PimumuTree->SetBranchStatus("muplus_PY",1);
D2PimumuTree->SetBranchStatus("muplus_PZ",1);
D2PimumuTree->SetBranchStatus("muminus_PX",1);
D2PimumuTree->SetBranchStatus("muminus_PY",1);
D2PimumuTree->SetBranchStatus("muminus_PZ",1);
D2PimumuTree->SetBranchStatus("muplus_PIDmu",1);
D2PimumuTree->SetBranchStatus("muminus_PIDmu",1);
D2PimumuTree->SetBranchStatus("muplus_isMuon",1);
D2PimumuTree->SetBranchStatus("muminus_isMuon",1);
D2PimumuTree->SetBranchStatus("piplus_PIDmu",1);
D2PimumuTree->SetBranchStatus("piplus_PIDK",1);
// Create the dataset variables
RooRealVar* D_MM = new RooRealVar("D_MM", "m(D)", MassMin, MassMax, "MeV/c^{2}");
RooRealVar* BDT = new RooRealVar("BDT", "BDT", 0.1, 0.25);
RooRealVar* muplus_PX = new RooRealVar("muplus_PX", "muplus_PX", -1e9, 1e9);
RooRealVar* muplus_PY = new RooRealVar("muplus_PY", "muplus_PY", -1e9, 1e9);
RooRealVar* muplus_PZ = new RooRealVar("muplus_PZ", "muplus_PZ", -1e9, 1e9);
RooRealVar* muminus_PX = new RooRealVar("muminus_PX", "muminus_PX", -1e9, 1e9);
RooRealVar* muminus_PY = new RooRealVar("muminus_PY", "muminus_PY", -1e9, 1e9);
RooRealVar* muminus_PZ = new RooRealVar("muminus_PZ", "muminus_PZ", -1e9, 1e9);
RooRealVar* muplus_PIDmu = new RooRealVar("muplus_PIDmu", "muplus_PIDmu", 2., 1e9);
RooRealVar* muminus_PIDmu = new RooRealVar("muminus_PIDmu", "muminus_PIDmu", 2., 1e9);
RooRealVar* piplus_PIDK = new RooRealVar("piplus_PIDK", "piplus_PIDK", -1e9, 0.);
RooRealVar* piplus_PIDmu = new RooRealVar("piplus_PIDmu", "piplus_PIDmu", -1e9, 0.);
RooRealVar* muplus_isMuon = new RooRealVar("muplus_isMuon", "muplus_isMuon", 0.9, 1.1);
RooRealVar* muminus_isMuon = new RooRealVar("muminus_isMuon", "muminus_isMuon", 0.9, 1.1);
// Create the RooArgSet that holds the variables
RooArgSet D2PimumuSet(*D_MM, *BDT, *muplus_PX, *muplus_PY, *muplus_PZ, *muminus_PX, *muminus_PY, *muminus_PZ, *muplus_PIDmu);
D2PimumuSet.add(*muminus_PIDmu);
D2PimumuSet.add(*piplus_PIDK);
D2PimumuSet.add(*piplus_PIDmu);
D2PimumuSet.add(*muplus_isMuon);
D2PimumuSet.add(*muminus_isMuon);
RooDataSet *All_Data = new RooDataSet("All_Data", "All_Data", D2PimumuSet, Import(*D2PimumuTree));
All_Data->Print();
// Select m(mumu) range consistent with phi (normalisation channel): 850 − 1250 MeV
// NB high-m(μ+μ−) (signal): 1250 − 2000 MeV
RooRealVar *MuMuMass = new RooRealVar("MuMuMass", "MuMuMass", 1000., 0., 1e6);
RooDataSet *MuMu_Data = new RooDataSet("MuMu_Data", "MuMu_Data", RooArgSet(*MuMuMass));
for (int i=0; i<All_Data->numEntries(); i++){
MuMuMass->setVal(InvMass_mumu(All_Data, i));
MuMu_Data->add(RooArgSet(*MuMuMass));
}
All_Data->merge(MuMu_Data);
RooDataSet* Data_Reduced = (RooDataSet*)All_Data->reduce("MuMuMass>850&&MuMuMass<1250");
Data_Reduced->Print();
RooRealVar *nSig_Dp = new RooRealVar("nSig_Dp", "D+ Signal Yield", 2.e4, -1.e3, 1e6);
RooRealVar *nSig_Ds = new RooRealVar("nSig_Ds", "Ds Signal Yield", 2.e4, -1.e3, 1e6);
RooRealVar *nBkg = new RooRealVar("nBkg", "Background Yield", 2.e4, 0., 1e6);
// Create fit model
RooAddPdf *Model = CreateModel(D_MM, nSig_Dp, nSig_Ds, nBkg);
// Perform the fit
RooFitResult* FitResult = Fit_D2Pimumu_Mass(Data_Reduced, Model);
PlotMass(D_MM, Data_Reduced, Model, phimodels_filename);
RooWorkspace *w = new RooWorkspace("w");
w->import(*Model);
w->writeToFile(phimodels_filename);
} // Do something!