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#include <algorithm>
#include <iomanip>
#include <iostream>
#include <TFile.h>
#include <TCanvas.h>
#include <TH1F.h>
#include <TF1.h>
#include <TRandom3.h>
#include <RooRealVar.h>
#include <RooGaussian.h>
#include <RooDataHist.h>
#include <RooFitResult.h>
#include <RooPlot.h>
#include "/afs/ihep.ac.cn/users/g/guofy/RootUtils/AtlasStyle.C"
#include "/afs/ihep.ac.cn/users/g/guofy/RootUtils/AtlasUtils.C"
#include "/afs/ihep.ac.cn/users/g/guofy/RootUtils/AtlasLabels.C"
#include "/afs/ihep.ac.cn/users/g/guofy/HggTwoSidedCBPdf.cxx"
#include "/afs/ihep.ac.cn/users/g/guofy/HggTwoSidedCBPdf.h"
using namespace std;
using namespace RooFit;
vector<double> get_rms90(vector<double> data);
vector<double> roofit_jets(){
SetAtlasStyle();
//gStyle->SetLegendTextSize(0.04);
gStyle->SetLegendFont(42);
gStyle->SetErrorX(0.5);
gStyle->SetOptStat(0);
gStyle->SetLabelSize(0.05);
// Read data from txt file
double m_jj, jet1_costheta, jet2_costheta, invPt, barrelRatio;
std::vector<double> event;
std::vector<double> inv_mass;
std::vector<double> mc_chargeE;
std::vector<double> mc_neuhadE;
std::vector<double> rec_trackE;
// std::ifstream file("out/invmass_fullrec_ecal1.1_hcal70.txt");
// std::ifstream file("out/invmass_MCtrk_recHCAL_ecal1.1_hcal70.txt");
// std::ifstream file("scan_calibration/out/invmass_ECALCali1.100_HCALCali70.0.txt");
/* std::ifstream file("output.txt");
if(file.is_open())
{
// double ll_event, ll_invmass, ll_chargeE, ll_neuhadE, ll_rectrack, ll_EECAL, ll_EHCAL;
// while (file >> ll_event >> ll_invmass )
// { // 逐行读取文件中的数据
// // double dE = ll_chargeE - ll_rectrack;
// // if( (dE<-5) || (dE>5) ) continue;
// event.push_back(ll_event);
// inv_mass.push_back(ll_invmass); // 将每个数添加到vector中
// // mc_chargeE.push_back(ll_chargeE);
// // mc_neuhadE.push_back(ll_neuhadE);
// // rec_trackE.push_back(ll_rectrack);
// }
// file.close(); // 关闭文件
double ll_invmass;
while (file >> ll_invmass )
{ // 逐行读取文件中的数据
inv_mass.push_back(ll_invmass); // 将每个数添加到vector中
}
file.close(); // 关闭文件
}
*/
TFile* rfile = new TFile("jet_all.root","read");
TTree* rtree = (TTree*)rfile->Get("jets");
rtree->SetBranchAddress("mass_allParticles", &m_jj);
rtree->SetBranchAddress("GEN_jet1_costheta", &jet1_costheta);
rtree->SetBranchAddress("GEN_jet2_costheta", &jet2_costheta);
rtree->SetBranchAddress("GEN_inv_pt", &invPt);
rtree->SetBranchAddress("barrelRatio", &barrelRatio);
for(int ievt=0; ievt<rtree->GetEntries(); ievt++){
//if(ievt>10000) continue;
rtree->GetEntry(ievt);
//if(fabs(jet1_costheta)>0.6 || fabs(jet2_costheta)>0.6 || invPt>1) continue;
if(barrelRatio<0.95) continue;
inv_mass.push_back(m_jj);
}
// 创建RooFit变量
// RooRealVar x("x", "Invariant mass / GeV", 90, 150);
RooRealVar x("x", "Invariant mass / GeV", 80, 180);
// 创建空的RooDataSet
RooDataSet data("data", "data", RooArgSet(x));
for(int i=0; i<inv_mass.size();i++){
if(inv_mass[i]<80) continue;
x.setVal(inv_mass[i]);
data.add(RooArgSet(x));
}
data.Print();
// RooRealVar rf_x("x", "x", 90, 150);
RooRealVar rf_mean("mean", "mean of gaussian", 123, 115, 135);
RooRealVar rf_sigma("sigma", "width of gaussian", 5, 3, 12);
TCanvas *c2 = new TCanvas("c2", "c2", 800, 600);
c2->cd();
//RooGaussian rf_gauss("gauss", "gaussian PDF", x, rf_mean, rf_sigma);
//vector<double> rms90_range = get_rms90(inv_mass);
//cout << "yyy: " << rms90_range[0] << " " << rms90_range[1] << endl;
//x.setRange("rms90", rms90_range[0], rms90_range[1]);
////x.setRange(110, 140);
//rf_gauss.fitTo(data, Range("rms90"));
RooRealVar alphaLo("alphaLo","alphaLo",0,5);
RooRealVar nLo("nLo","nLo",0,200);
RooRealVar alphaHi("alphaHi","alphaHi",0,5);
RooRealVar nHi("nHi","nHi",0,150);
RooAbsPdf* rf_dscb = new HggTwoSidedCBPdf("rf_dscb", "rf_dscb", x, rf_mean, rf_sigma, alphaLo, nLo, alphaHi, nHi);
rf_dscb->fitTo(data);
RooPlot* xframe = x.frame();
data.plotOn(xframe, Name("gr_data"), DataError(RooAbsData::SumW2), Binning(50), Invisible());
//rf_gauss.plotOn(xframe, Name("rf_gauss"), LineColor(2), LineWidth(2));
rf_dscb->plotOn(xframe, Name("rf_dscb"), LineColor(2), LineWidth(2));
//rf_dscb->paramOn(xframe);
//xframe->GetYaxis()->SetRangeUser(0, 390);
xframe->GetYaxis()->SetTitle("Events / GeV");
xframe->GetXaxis()->SetTitleSize(0.06);
xframe->GetYaxis()->SetTitleSize(0.06);
xframe->GetXaxis()->CenterTitle();
xframe->GetYaxis()->CenterTitle();
xframe->GetXaxis()->SetLabelSize(0.05);
xframe->GetYaxis()->SetLabelSize(0.05);
xframe->Draw();
TGraphAsymmErrors* gr1 = (TGraphAsymmErrors*)(xframe->getObject(0));
TGraphAsymmErrors* gr2 = new TGraphAsymmErrors();
gr2->SetName("gr_data");
for(int i=0; i<gr1->GetN(); i++){
if(gr1->GetPointY(i)==0) continue;
else{
gr2->SetPoint(i, gr1->GetPointX(i), gr1->GetPointY(i));
gr2->SetPointError(i, 0, 0, sqrt(gr1->GetPointY(i)), sqrt(gr1->GetPointY(i)));
}
}
gr2->GetXaxis()->SetRangeUser(100, 160);
gr2->GetYaxis()->SetRangeUser(0, 260);
gr2->GetXaxis()->SetTitle("m_{jj} [GeV]");
gr2->GetYaxis()->SetTitle("Events / GeV");
gr2->Draw("P same");
//xframe->getObject(1)->Print();
//TF1* func = (TF1*)xframe->getObject(1);
//func->Print();
//func->SetName("rf_dscb");
//func->SetLineStyle(1);
//func->SetLineWidth(2);
//func->GetXaxis()->SetRangeUser(105,160);
//func->GetYaxis()->SetRangeUser(0, 4400);
//func->Draw("C same");
TLegend* l1 = new TLegend(0.23, 0.65, 0.50, 0.9);
l1->SetBorderSize(0);
l1->AddEntry("gr_data", "Rec. events", "PE" );
l1->AddEntry("rf_dscb", "H #rightarrow jj, DSCB fit", "L");
//l1->AddEntry("rf_gauss", "H #rightarrow jj, DSCB fit", "L");
l1->Draw();
//TLatex text_CEPC;
//text_CEPC.SetNDC();
//text_CEPC.SetTextSize(0.050);
//text_CEPC.SetTextFont(22);
//text_CEPC.DrawLatex(0.2, 0.8, "CEPC Simulation");
//text_CEPC.SetTextFont(62);
//text_CEPC.SetTextSize(0.04);
//text_CEPC.DrawLatex(0.2, 0.75, "e^{+}e^{-} #rightarrow ZH, H #rightarrow #gamma#gamma");
//text_CEPC.DrawLatex(0.2, 0.7, "#sqrt{s} = 240 GeV");
// 获取拟合参数的值和误差
double fittedMean = rf_mean.getVal();
double fittedMeanError = rf_mean.getError();
double fittedSigma = rf_sigma.getVal();
double fittedSigmaError = rf_sigma.getError();
double BMR_fit = fittedSigma / fittedMean;
double BMR_error = BMR_error = BMR_fit *
sqrt( (fittedMeanError / fittedMean)*(fittedMeanError / fittedMean) +
(fittedSigmaError / fittedSigma)*(fittedSigmaError / fittedSigma) );
// 打印拟合结果
// data.Print();
std::cout << "Fitted mean: " << fittedMean << " +/- " << fittedMeanError << std::endl;
std::cout << "Fitted sigma: " << fittedSigma << " +/- " << fittedSigmaError << std::endl;
cout << "BMR = " << BMR_fit*100. << " +/- " << BMR_error*100. << " %" << endl;
vector<double> output;
output.push_back(BMR_fit*100.);
output.push_back(BMR_error*100.);
return output;
}
vector<double> get_rms90(vector<double> data){
std::sort(data.begin(), data.end());
int num_data = data.size();
int num_data90 = num_data*0.90;
int num_data10 = num_data*0.10;
double lower_range = 0;
double upper_range = 0;
double range = 10000.0;
for(int i=0; i<num_data10-3; i++){
double temp_lower_range = data[i];
double temp_upper_range = data[i+num_data90];
double temp_range = temp_upper_range - temp_lower_range;
if (temp_range < range){
range = temp_range;
lower_range = temp_lower_range;
upper_range = temp_upper_range;
}
}
vector<double> aa{lower_range, upper_range};
return aa;
}