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massfitvn_combine_d0.C
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massfitvn_combine_d0.C
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#include <iostream>
#include "TF1.h"
#include "TH1.h"
#include "TFile.h"
#include "TGraph.h"
#include "TGraphErrors.h"
#include "TMultiGraph.h"
#include "TCanvas.h"
#include "TPad.h"
#include "TLegend.h"
#include "TLatex.h"
#include "TLine.h"
#include "TAxis.h"
#include "TGaxis.h"
#include "TString.h"
#include <vector>
#include "Fit/Fitter.h"
#include "Fit/BinData.h"
#include "Fit/Chi2FCN.h"
#include "TList.h"
#include "Math/WrappedMultiTF1.h"
#include "HFitInterface.h"
int iparmassfit_poly3bkg_floatwidth[13] = { 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12};
int iparvnfit_poly3bkg_floatwidth[16] = { 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15};
struct GlobalChi2_poly3bkg_floatwidth {
GlobalChi2_poly3bkg_floatwidth( ROOT::Math::IMultiGenFunction & f1,
ROOT::Math::IMultiGenFunction & f2) :
fChi2_1(&f1), fChi2_2(&f2) {}
// parameter vector is first background (in common 1 and 2)
// and then is signal (only in 2)
double operator() (const double *par) const {
double p1[13];
for(int i = 0; i < 13; ++i) p1[i] = par[iparmassfit_poly3bkg_floatwidth[i]];
double p2[16];
for(int i = 0; i < 16; ++i) p2[i] = par[iparvnfit_poly3bkg_floatwidth[i]];
return (*fChi2_1)(p1) + (*fChi2_2)(p2);
}
const ROOT::Math::IMultiGenFunction * fChi2_1;
const ROOT::Math::IMultiGenFunction * fChi2_2;
};
void massfitvn_combine_d0()
{
double fit_range_low = 1.7;
double fit_range_high = 2.0;
double D0_mass = 1.8648;
TFile* file0 = TFile::Open("hMass_MCSwap_reweightZvtx_shiftpt_v41.root");
TFile* file1 = TFile::Open("HM185_D0vnHist_shiftpt_v41_etagap1p05.root");
TFile ofile("v2vspt_fromfit_d0_HM185_250_combine_reweightZvtx_etagap1p05.root","RECREATE");
TF1* fmasssig[9];
TF1* fmassswap[9];
TF1* fmassbkg[9];
TF1* fmasstotal[9];
TF1* fvn[9];
double pt[13];
double KET_ncq[13];
double v2[13];
double v2e[13];
double v2_bkg[13];
double v2_ncq[13];
double v2e_ncq[13];
double ptbin[14] = {1.5,2.4,3,3.5,4.2,5,6,7,8,10,11.5,15,20,30};
double a[13];
double b[13];
double sigfrac[13];
TCanvas* c[10];
for(int i=0;i<10;i++)
{
c[i] = new TCanvas(Form("c_%d",i),Form("c_%d",i),800,400);
c[i]->Divide(2,1);
}
for(int i=0;i<8;i++)
{
c[i]->cd(1)->SetTopMargin(0.06);
c[i]->cd(1)->SetLeftMargin(0.18);
c[i]->cd(1)->SetRightMargin(0.043);
c[i]->cd(1)->SetBottomMargin(0.145);
c[i]->cd(2)->SetTopMargin(0.06);
c[i]->cd(2)->SetLeftMargin(0.18);
c[i]->cd(2)->SetRightMargin(0.043);
c[i]->cd(2)->SetBottomMargin(0.145);
}
TCanvas* c2 = new TCanvas("c2","c2",100,100);
TLatex* tex = new TLatex;
tex->SetNDC();
tex->SetTextFont(42);
tex->SetTextSize(0.045);
tex->SetLineWidth(2);
TLatex* texCMS = new TLatex;
texCMS->SetNDC();
texCMS->SetTextFont(42);
texCMS->SetTextSize(0.05);
texCMS->SetTextAlign(12);
TH1D* hist = new TH1D("hist","",10,1.7,2.0);
hist->SetLineWidth(0);
//hist->GetYaxis()->SetRangeUser(0,0.3);
hist->GetXaxis()->SetTitle("m_{#piK} (GeV/c^{2})");
hist->GetYaxis()->SetTitle("v_{2}");
hist->GetXaxis()->CenterTitle();
hist->GetYaxis()->CenterTitle();
hist->GetXaxis()->SetTitleOffset(1.3);
hist->GetYaxis()->SetTitleOffset(2);
hist->GetXaxis()->SetLabelOffset(0.007);
hist->GetYaxis()->SetLabelOffset(0.007);
hist->GetXaxis()->SetTitleSize(0.045);
hist->GetYaxis()->SetTitleSize(0.045);
hist->GetXaxis()->SetTitleFont(42);
hist->GetYaxis()->SetTitleFont(42);
hist->GetXaxis()->SetLabelFont(42);
hist->GetYaxis()->SetLabelFont(42);
hist->GetXaxis()->SetLabelSize(0.04);
hist->GetYaxis()->SetLabelSize(0.04);
hist->SetMinimum(0.001);
hist->SetMaximum(0.3);
c2->cd();
hist->Draw();
for(int i=0;i<8;i++)
{
TH1D* h_mc_match_signal = (TH1D*)file0->Get(Form("mass_pt%d",i));
TH1D* h_mc_match_all = (TH1D*)file0->Get(Form("mass_all_pt%d",i));
TH1D* h_data = (TH1D*)file1->Get(Form("massD0_pt%d",i));
h_data->SetMinimum(0);
h_data->SetMarkerSize(0.8);
h_data->SetMarkerStyle(20);
h_data->SetLineWidth(1);
h_data->SetOption("e");
h_data->GetXaxis()->SetRangeUser(1.7,2);
h_data->GetXaxis()->SetTitle("m_{#piK} (GeV/c^{2})");
h_data->GetYaxis()->SetTitle("Entries / 5 MeV");
h_data->GetXaxis()->CenterTitle();
h_data->GetYaxis()->CenterTitle();
h_data->GetXaxis()->SetTitleOffset(1.3);
h_data->GetYaxis()->SetTitleOffset(2);
h_data->GetXaxis()->SetLabelOffset(0.007);
h_data->GetYaxis()->SetLabelOffset(0.007);
h_data->GetXaxis()->SetTitleSize(0.045);
h_data->GetYaxis()->SetTitleSize(0.045);
h_data->GetXaxis()->SetTitleFont(42);
h_data->GetYaxis()->SetTitleFont(42);
h_data->GetXaxis()->SetLabelFont(42);
h_data->GetYaxis()->SetLabelFont(42);
h_data->GetXaxis()->SetLabelSize(0.04);
h_data->GetYaxis()->SetLabelSize(0.04);
h_data->GetXaxis()->SetNoExponent(true);
((TGaxis*)h_data->GetXaxis())->SetMaxDigits(7);
h_data->SetMaximum(h_data->GetMaximum()*1.5);
TH1D* h_pt = (TH1D*)file1->Get(Form("PtD0_pt%d",i));
TH1D* h_KET = (TH1D*)file1->Get(Form("KETD0_pt%d",i));
pt[i] = h_pt->GetMean();
KET_ncq[i] = h_KET->GetMean()/2.0;
c[i]->cd(1);
/*The full fitting function is constructed as follow
[0] is signal + swap yield;
[1] is common mean of double gaussian;
[2] is signal gaussian 1 sigma;
[3] is signal gaussian 2 sigma;
[4] is fractional signal gaussian 1 yield; 1-[4] is fractional signal gaussian 2 yield;
[5] is fractional double gaussian signal yield, 1-[5] is fractional swap yield;
[6] is a factor to let width of the gaussians to vary in data;
[7] is swap gaussian sigma;
[8] is swap gaussian mean;
[9-12] is 3rd order poly parameters
*/
TF1* f = new TF1(Form("f_%d",i),"[0]*([5]*([4]*TMath::Gaus(x,[1],[2]*(1.0 +[6]))/(sqrt(2*3.14159)*[2]*(1.0 +[6]))+(1-[4])*TMath::Gaus(x,[1],[3]*(1.0 +[6]))/(sqrt(2*3.14159)*[3]*(1.0 +[6])))+(1-[5])*TMath::Gaus(x,[8],[7]*(1.0 +[6]))/(sqrt(2*3.14159)*[7]*(1.0 +[6]))) + [9] + [10]*x + [11]*x*x + [12]*x*x*x", fit_range_low, fit_range_high);
f->SetLineColor(2);
f->SetLineWidth(1);
//first fit MC signal, swap and poly bkg set to 0
f->SetParameter(0,100.);
f->SetParameter(1,D0_mass);
f->SetParameter(2,0.03);
f->SetParameter(3,0.005);
f->SetParameter(4,0.1);
f->FixParameter(5,1);
f->FixParameter(6,0); //always 0 in MC
f->FixParameter(7,0.1); //does not really mater here as yield is fix to 0
f->FixParameter(8,D0_mass); //does not really mater here as yield is fix to 0
f->FixParameter(9,0);
f->FixParameter(10,0);
f->FixParameter(11,0);
f->FixParameter(12,0);
f->SetParLimits(2,0.01,0.1);
f->SetParLimits(3,0.001,0.05);
f->SetParLimits(4,0,1);
f->SetParLimits(5,0,1);
f->FixParameter(1,1.8648); //for first few attempt fix mean of gaussian to get reasonable estimation of other pars; later open it up
h_mc_match_signal->Fit(Form("f_%d",i),"q","",fit_range_low,fit_range_high);
h_mc_match_signal->Fit(Form("f_%d",i),"q","",fit_range_low,fit_range_high);
f->ReleaseParameter(1); //now let gaussian mean float
h_mc_match_signal->Fit(Form("f_%d",i),"L q","",fit_range_low,fit_range_high);
h_mc_match_signal->Fit(Form("f_%d",i),"L q","",fit_range_low,fit_range_high);
h_mc_match_signal->Fit(Form("f_%d",i),"L m","",fit_range_low,fit_range_high);
//now fix signal double gaussian mean, sigma and gaus1,gaus2 yield ratio
f->FixParameter(1,f->GetParameter(1));
f->FixParameter(2,f->GetParameter(2));
f->FixParameter(3,f->GetParameter(3));
f->FixParameter(4,f->GetParameter(4));
//now release swap bkg parameters to fit signal+swap MC
f->ReleaseParameter(5);
f->ReleaseParameter(7);
f->ReleaseParameter(8);
f->SetParameter(7,0.1);
f->SetParameter(8,D0_mass);
//fit signal+swap MC
h_mc_match_all->Fit(Form("f_%d",i),"L q","",fit_range_low,fit_range_high);
h_mc_match_all->Fit(Form("f_%d",i),"L q","",fit_range_low,fit_range_high);
h_mc_match_all->Fit(Form("f_%d",i),"L q","",fit_range_low,fit_range_high);
h_mc_match_all->Fit(Form("f_%d",i),"L q","",fit_range_low,fit_range_high);
h_mc_match_all->Fit(Form("f_%d",i),"L m","",fit_range_low,fit_range_high);
//now fix swap bkg parameters to fit data
f->FixParameter(5,f->GetParameter(5));
f->FixParameter(7,f->GetParameter(7));
f->FixParameter(8,f->GetParameter(8));
//now release poly bkg pars
f->ReleaseParameter(9);
f->ReleaseParameter(10);
f->ReleaseParameter(11);
f->ReleaseParameter(12);
//now fit data
h_data->Fit(Form("f_%d",i),"q","",fit_range_low,fit_range_high);
h_data->Fit(Form("f_%d",i),"q","",fit_range_low,fit_range_high);
f->ReleaseParameter(1); //allow data to have different mass peak mean than MC
f->ReleaseParameter(6); //allow data to have different peak width than MC
f->SetParameter(6,0);
f->SetParLimits(6,-1,1);
//f->FixParameter(5,1);
h_data->Fit(Form("f_%d",i),"L q","",fit_range_low,fit_range_high);
h_data->Fit(Form("f_%d",i),"L q","",fit_range_low,fit_range_high);
h_data->Fit(Form("f_%d",i),"L q","",fit_range_low,fit_range_high);
h_data->Fit(Form("f_%d",i),"L m","",fit_range_low,fit_range_high);
//draw D0 signal separately
TF1* f1 = new TF1(Form("f_sig_%d",i),"[0]*([5]*([4]*TMath::Gaus(x,[1],[2]*(1.0 +[6]))/(sqrt(2*3.14159)*[2]*(1.0 +[6]))+(1-[4])*TMath::Gaus(x,[1],[3]*(1.0 +[6]))/(sqrt(2*3.14159)*[3]*(1.0 +[6]))))", fit_range_low, fit_range_high);
f1->SetLineColor(kOrange-3);
f1->SetLineWidth(1);
f1->SetLineStyle(2);
f1->SetFillColorAlpha(kOrange-3,0.3);
f1->SetFillStyle(1001);
f1->FixParameter(0,f->GetParameter(0));
f1->FixParameter(1,f->GetParameter(1));
f1->FixParameter(2,f->GetParameter(2));
f1->FixParameter(3,f->GetParameter(3));
f1->FixParameter(4,f->GetParameter(4));
f1->FixParameter(5,f->GetParameter(5));
f1->FixParameter(6,f->GetParameter(6));
fmasssig[i] = (TF1*)f1->Clone();
fmasssig[i]->SetName(Form("masssigfcn_pt%d",i));
fmasssig[i]->Write();
f1->Draw("LSAME");
//draw swap bkg separately
TF1* f2 = new TF1(Form("f_swap_%d",i),"[0]*((1-[5])*TMath::Gaus(x,[8],[7]*(1.0 +[6]))/(sqrt(2*3.14159)*[7]*(1.0 +[6])))", fit_range_low, fit_range_high);
f2->SetLineColor(kGreen+4);
f2->SetLineWidth(1);
f2->SetLineStyle(1);
f2->SetFillColorAlpha(kGreen+4,0.3);
f2->SetFillStyle(1001);
f2->FixParameter(0,f->GetParameter(0));
f2->FixParameter(5,f->GetParameter(5));
f2->FixParameter(6,f->GetParameter(6));
f2->FixParameter(7,f->GetParameter(7));
f2->FixParameter(8,f->GetParameter(8));
fmassswap[i] = (TF1*)f2->Clone();
fmassswap[i]->SetName(Form("massswapfcn_pt%d",i));
fmassswap[i]->Write();
f2->Draw("LSAME");
//draw poly bkg separately
TF1* f3 = new TF1(Form("f_bkg_%d",i),"[9] + [10]*x + [11]*x*x + [12]*x*x*x", fit_range_low, fit_range_high);
f3->SetLineColor(4);
f3->SetLineWidth(1);
f3->SetLineStyle(2);
f3->FixParameter(9,f->GetParameter(9));
f3->FixParameter(10,f->GetParameter(10));
f3->FixParameter(11,f->GetParameter(11));
f3->FixParameter(12,f->GetParameter(12));
fmassbkg[i] = (TF1*)f3->Clone();
fmassbkg[i]->SetName(Form("massbkgfcn_pt%d",i));
fmassbkg[i]->Write();
f3->Draw("LSAME");
tex->DrawLatex(0.22,0.86,"185 #leq N_{trk}^{offline} < 250");
tex->DrawLatex(0.22,0.80,Form("%.1f < p_{T} < %.1f GeV/c",ptbin[i],ptbin[i+1]));
tex->DrawLatex(0.22,0.74,"|y| < 1");
texCMS->DrawLatex(.18,.97,"#font[61]{CMS} #it{Preliminary}");
texCMS->DrawLatex(0.62,0.97, "#scale[0.8]{pPb #sqrt{s_{NN}} = 8.16 TeV}");
TLegend* leg = new TLegend(0.65,0.58,0.81,0.9,NULL,"brNDC");
leg->SetBorderSize(0);
leg->SetTextSize(0.045);
leg->SetTextFont(42);
leg->SetFillStyle(0);
leg->AddEntry(h_data,"data","p");
leg->AddEntry(f,"Fit","L");
leg->AddEntry(f1,"D^{0}+#bar{D^{#lower[0.2]{0}}} Signal","f");
leg->AddEntry(f2,"K-#pi swap","f");
leg->AddEntry(f3,"Combinatorial","l");
leg->Draw("SAME");
sigfrac[i] = (f1->Integral(1.85,1.88) + f2->Integral(1.85,1.88))/f->Integral(1.85,1.88);
//fit vn
//[13] is vn_sig
//[14-15] is vn bkg, const + linear vn(pT)
TGraphErrors* vn_data = (TGraphErrors*)file1->Get(Form("v2_mass_pt%d",i));
c[i]->cd(2);
hist->Draw();
TF1* fmass_combinemassvnfit = new TF1(Form("fmass_combinemassvnfit_%d",i),"[0]*([5]*([4]*TMath::Gaus(x,[1],[2]*(1.0 +[6]))/(sqrt(2*3.14159)*[2]*(1.0 +[6]))+(1-[4])*TMath::Gaus(x,[1],[3]*(1.0 +[6]))/(sqrt(2*3.14159)*[3]*(1.0 +[6])))+(1-[5])*TMath::Gaus(x,[8],[7]*(1.0 +[6]))/(sqrt(2*3.14159)*[7]*(1.0 +[6]))) + [9] + [10]*x + [11]*x*x + [12]*x*x*x", fit_range_low, fit_range_high);
TF1* fvn_combinemassvnfit = new TF1(Form("fvn_combinemassvnfit_%d",i), "( ( [0]*([5]*([4]*TMath::Gaus(x,[1],[2]*(1.0 +[6]))/(sqrt(2*3.14159)*[2]*(1.0 +[6]))+(1-[4])*TMath::Gaus(x,[1],[3]*(1.0 +[6]))/(sqrt(2*3.14159)*[3]*(1.0 +[6])))+(1-[5])*TMath::Gaus(x,[8],[7]*(1.0 +[6]))/(sqrt(2*3.14159)*[7]*(1.0 +[6]))) ) / ( [0]*([5]*([4]*TMath::Gaus(x,[1],[2]*(1.0 +[6]))/(sqrt(2*3.14159)*[2]*(1.0 +[6]))+(1-[4])*TMath::Gaus(x,[1],[3]*(1.0 +[6]))/(sqrt(2*3.14159)*[3]*(1.0 +[6])))+(1-[5])*TMath::Gaus(x,[8],[7]*(1.0 +[6]))/(sqrt(2*3.14159)*[7]*(1.0 +[6]))) + [9] + [10]*x + [11]*x*x + [12]*x*x*x ) ) * [13] + ( 1.0 - ( ( [0]*([5]*([4]*TMath::Gaus(x,[1],[2]*(1.0 +[6]))/(sqrt(2*3.14159)*[2]*(1.0 +[6]))+(1-[4])*TMath::Gaus(x,[1],[3]*(1.0 +[6]))/(sqrt(2*3.14159)*[3]*(1.0 +[6])))+(1-[5])*TMath::Gaus(x,[8],[7]*(1.0 +[6]))/(sqrt(2*3.14159)*[7]*(1.0 +[6]))) ) / ( [0]*([5]*([4]*TMath::Gaus(x,[1],[2]*(1.0 +[6]))/(sqrt(2*3.14159)*[2]*(1.0 +[6]))+(1-[4])*TMath::Gaus(x,[1],[3]*(1.0 +[6]))/(sqrt(2*3.14159)*[3]*(1.0 +[6])))+(1-[5])*TMath::Gaus(x,[8],[7]*(1.0 +[6]))/(sqrt(2*3.14159)*[7]*(1.0 +[6]))) + [9] + [10]*x + [11]*x*x + [12]*x*x*x ) ) ) * ( [14] + [15] * x)", fit_range_low, fit_range_high);
fmass_combinemassvnfit->SetLineColor(2);
fmass_combinemassvnfit->SetLineWidth(1);
fvn_combinemassvnfit->SetLineColor(2);
fvn_combinemassvnfit->SetLineWidth(1);
ROOT::Math::WrappedMultiTF1 wfmass_combinemassvnfit(*fmass_combinemassvnfit,1);
ROOT::Math::WrappedMultiTF1 wfvn_combinemassvnfit(*fvn_combinemassvnfit,1);
ROOT::Fit::DataOptions opt;
ROOT::Fit::DataRange range_massfit;
range_massfit.SetRange(fit_range_low,fit_range_high);
ROOT::Fit::BinData datamass(opt,range_massfit);
ROOT::Fit::FillData(datamass, h_data);
ROOT::Fit::DataRange range_vnfit;
range_vnfit.SetRange(fit_range_low,fit_range_high);
ROOT::Fit::BinData datavn(opt,range_vnfit);
ROOT::Fit::FillData(datavn, vn_data);
ROOT::Fit::Chi2Function chi2_B(datamass, wfmass_combinemassvnfit);
ROOT::Fit::Chi2Function chi2_SB(datavn, wfvn_combinemassvnfit);
GlobalChi2_poly3bkg_floatwidth globalChi2(chi2_B, chi2_SB);
ROOT::Fit::Fitter fitter;
const int Npar = 16;
double par0[Npar];
for( int ipar = 0; ipar < f->GetNpar(); ipar++ ) par0[ipar] = f->GetParameter(ipar);
par0[13] = 0.01;
par0[14] = 0.10;
par0[15] = 0.05;
fitter.Config().SetParamsSettings(Npar,par0);
// fix parameter
fitter.Config().ParSettings(2).Fix();
fitter.Config().ParSettings(3).Fix();
fitter.Config().ParSettings(4).Fix();
fitter.Config().ParSettings(5).Fix();
fitter.Config().ParSettings(7).Fix();
fitter.Config().ParSettings(8).Fix();
fitter.Config().ParSettings(1).SetLimits(1.7, 2.0);
fitter.Config().MinimizerOptions().SetPrintLevel(0);
fitter.Config().SetMinimizer("Minuit2","Migrad");
fitter.FitFCN(Npar,globalChi2,0,datamass.Size()+datavn.Size(),true);
ROOT::Fit::FitResult result = fitter.Result();
result.Print(std::cout);
fmass_combinemassvnfit->SetFitResult( result, iparmassfit_poly3bkg_floatwidth);
fmass_combinemassvnfit->SetRange(range_massfit().first, range_massfit().second);
fmass_combinemassvnfit->SetLineColor(kRed);
h_data->GetListOfFunctions()->Add(fmass_combinemassvnfit);
fvn_combinemassvnfit->SetFitResult( result, iparvnfit_poly3bkg_floatwidth);
fvn_combinemassvnfit->SetRange(range_vnfit().first, range_vnfit().second);
fvn_combinemassvnfit->SetLineColor(2);
//fvn_combinemassvnfit->SetLineStyle(2);
//vn_data->GetListOfFunctions()->Add(fvn_combinemassvnfit);
vn_data->SetTitle("");
vn_data->SetMarkerSize(0.8);
vn_data->SetLineWidth(1);
vn_data->Draw("PESAME");
fvn[i] = (TF1*)fvn_combinemassvnfit->Clone();
fvn[i]->SetName(Form("vnfit_pt%d",i));
fvn[i]->Write();
fmasstotal[i] = (TF1*)fmass_combinemassvnfit->Clone();
fmasstotal[i]->SetName(Form("masstotalfcn_pt%d",i));
fmasstotal[i]->Write();
tex->DrawLatex(0.22,0.86,"185 #leq N_{trk}^{offline} < 250");
tex->DrawLatex(0.22,0.80,Form("%.1f < p_{T} < %.1f GeV/c",ptbin[i],ptbin[i+1]));
tex->DrawLatex(0.22,0.74,"|y| < 1");
//tex->DrawLatex(0.22,0.68,"|#Delta#eta| > 2");
texCMS->DrawLatex(.18,.97,"#font[61]{CMS} #it{Preliminary}");
texCMS->DrawLatex(0.62,0.97, "#scale[0.8]{pPb #sqrt{s_{NN}} = 8.16 TeV}");
v2[i] = fvn_combinemassvnfit->GetParameter(13);
v2e[i] = fvn_combinemassvnfit->GetParError(13);
v2_bkg[i] = fvn_combinemassvnfit->GetParameter(14) + fvn_combinemassvnfit->GetParameter(15) * 1.864;
v2_ncq[i] = v2[i]/2.0;
v2e_ncq[i] = v2e[i]/2.0;
a[i] = fvn_combinemassvnfit->GetParameter(14);
b[i] = fvn_combinemassvnfit->GetParameter(15);
TF1* fvnbkg = new TF1(Form("fvnbkg_%d",1),"( [0] + [1] * x)", fit_range_low, fit_range_high);
fvnbkg->FixParameter(0,fvn_combinemassvnfit->GetParameter(14));
fvnbkg->FixParameter(1,fvn_combinemassvnfit->GetParameter(15));
fvnbkg->SetName(Form("fvnbkg_fcn_pt%d",i));
fvnbkg->Write();
fvnbkg->SetLineStyle(7);
//fvnbkg->Draw("LSAME");
TLegend* leg1 = new TLegend(0.65,0.78,0.95,0.9,NULL,"brNDC");
leg1->SetBorderSize(0);
leg1->SetTextSize(0.045);
leg1->SetTextFont(42);
leg1->SetFillStyle(0);
leg1->AddEntry(h_data,"data","p");
//leg1->AddEntry(fvnbkg,"v_{2}^{bkg}","L");
// leg1->AddEntry(f1,"D^{0}+#bar{D^{#lower[0.2]{0}}} Signal","f");
// leg1->AddEntry(f2,"K-#pi swap","f");
// leg1->AddEntry(f3,"Combinatorial","l");
//leg1->Draw("SAME");
TF1* falpha = new TF1(Form("falpha_%d",1),"( [0]*([5]*([4]*TMath::Gaus(x,[1],[2]*(1.0 +[6]))/(sqrt(2*3.14159)*[2]*(1.0 +[6]))+(1-[4])*TMath::Gaus(x,[1],[3]*(1.0 +[6]))/(sqrt(2*3.14159)*[3]*(1.0 +[6])))+(1-[5])*TMath::Gaus(x,[8],[7]*(1.0 +[6]))/(sqrt(2*3.14159)*[7]*(1.0 +[6]))) )/( [0]*([5]*([4]*TMath::Gaus(x,[1],[2]*(1.0 +[6]))/(sqrt(2*3.14159)*[2]*(1.0 +[6]))+(1-[4])*TMath::Gaus(x,[1],[3]*(1.0 +[6]))/(sqrt(2*3.14159)*[3]*(1.0 +[6])))+(1-[5])*TMath::Gaus(x,[8],[7]*(1.0 +[6]))/(sqrt(2*3.14159)*[7]*(1.0 +[6]))) + [9] + [10]*x + [11]*x*x + [12]*x*x*x )", fit_range_low,fit_range_high);
for(int j=0;j<13;j++)
{
falpha->FixParameter(j,fmass_combinemassvnfit->GetParameter(j));
}
falpha->SetName(Form("sigfrac_fcn_pt%d",i));
falpha->Write();
double xmass[200];
double pullmass[200];
float Chi2=0;
int ndf = 0.3/0.005 - 11;
for(int k=0;k<h_data->GetNbinsX();k++)
{
xmass[k] = h_data->GetBinCenter(k);
pullmass[k] = (h_data->GetBinContent(k) - fmass_combinemassvnfit->Eval(xmass[k]))/h_data->GetBinError(k);
if(fabs(pullmass[k])<5)
{
//cout<<pullmass[k]<<endl;
Chi2 += pullmass[k]*pullmass[k];
}
}
c[i]->cd(1);
tex->DrawLatex(0.22,0.68,Form("Chi2/ndf = %.0f/%d",Chi2,ndf));
double xv2[200];
double pullv2[200];
double v2y[200];
float Chi2v2=0;
int ndfv2 = 14 - 2;
for(int k=0;k<vn_data->GetN();k++)
{
vn_data->GetPoint(k,xv2[k],v2y[k]);
//xv2[k] = vn_dara->GetBinCenter(k);
pullv2[k] = (v2y[k] - fvn_combinemassvnfit->Eval(xv2[k]))/vn_data->GetErrorY(k);
cout<<pullv2[k]<<endl;
if(fabs(pullv2[k])<100)
{
//cout<<pullmass[k]<<endl;
Chi2v2 += pullv2[k]*pullv2[k];
}
}
c[i]->cd(2);
//tex->DrawLatex(0.22,0.68,Form("Chi2/ndf = %.0f/%d",Chi2v2,ndfv2));
}
for(int i=0;i<8;i++)
{
c[i]->Print(Form("plots/D0_mass_vnfit_combine_pt%d.pdf",i));
}
TGraphErrors* v2plot = new TGraphErrors(9,pt,v2,0,v2e);
TGraphErrors* v2ncqplot = new TGraphErrors(9,KET_ncq,v2_ncq,0,v2e_ncq);
TGraphErrors* v2bkgplot = new TGraphErrors(9,pt,v2_bkg,0,0);
v2plot->SetName("v2vspt");
v2ncqplot->SetName("v2vsKET_ncq");
v2bkgplot->SetName("v2bkgvspt");
v2plot->Write();
v2ncqplot->Write();
v2bkgplot->Write();
}