31 std::vector<double> pt_vec = c1.
getVector<
double>(
"RefPtBoundaries");
32 std::vector<double> eta_vec = c1.
getVector<
double>(
"EtaBoundaries");
33 if (!c1.
check())
return 0;
36 const int MAX_NREFPTBINS = 30;
37 int NRefPtBins = pt_vec.size()-1;
39 int i,auxi_cor,auxi_resp;
40 double Correction[MAX_NREFPTBINS] = {};
41 double CorrectionError[MAX_NREFPTBINS] = {};
42 double Response[MAX_NREFPTBINS] = {};
43 double ResponseError[MAX_NREFPTBINS] = {};
44 double xCaloPt[MAX_NREFPTBINS] = {};
45 double exCaloPt[MAX_NREFPTBINS] = {};
46 double xRefPt[MAX_NREFPTBINS] = {};
47 double exRefPt[MAX_NREFPTBINS] = {};
48 double MinCaloPt,MaxCaloPt,MinRefPt,MaxRefPt;
49 double cor,e_cor,resp,e_resp;
52 TH1F *hCor,*hResp,*hRef,*hCalo;
57 TVirtualFitter *fitter;
58 TMatrixD *COV_Cor, *COV_Resp;
59 std::ofstream L3CorrectionFile,L3ResponseFile;
60 L3CorrectionFile.open(L3CorrectionTxtFilename.c_str());
61 L3ResponseFile.open(L3ResponseTxtFilename.c_str());
63 std::vector<std::string> HistoNamesList;
64 inf =
new TFile(FitterFilename.c_str(),
"r");
65 if (inf->IsZombie())
return(0);
66 TIter
next(inf->GetListOfKeys());
67 while ((key = (TKey*)
next()))
68 HistoNamesList.push_back(key->GetName());
70 sprintf(name,
"MeanCaloPt");
72 hCalo = (TH1F*)inf->Get(name);
74 sprintf(name,
"MeanRefPt");
76 hRef = (TH1F*)inf->Get(name);
78 sprintf(name,
"Correction");
80 hCor = (TH1F*)inf->Get(name);
81 sprintf(name,
"Response");
83 hResp = (TH1F*)inf->Get(name);
86 std::cout<<
"RefPt bin"<<setw(12)<<
"<CaloPt>"<<setw(12)<<
"Correction"<<setw(12)<<
"Error"<<setw(12)<<
"<RefPt>"<<setw(12)<<
"Response"<<setw(12)<<
"Error"<<std::endl;
87 for(i=0;i<NRefPtBins;i++)
89 cor = hCor->GetBinContent(i+1);
90 e_cor = hCor->GetBinError(i+1);
91 std::cout<<
"["<<pt_vec[
i]<<
","<<pt_vec[i+1]<<
"]"<<setw(12)<<hCalo->GetBinContent(i+1)<<setw(12)<<cor<<setw(12)<<e_cor;
92 resp = hResp->GetBinContent(i+1);
93 e_resp = hResp->GetBinError(i+1);
94 std::cout<<setw(12)<<hRef->GetBinContent(i+1)<<setw(12)<<resp<<setw(12)<<e_resp<<std::endl;
95 if (cor>0 && e_cor>0.000001 && e_cor<0.2)
97 Correction[auxi_cor] = cor;
98 CorrectionError[auxi_cor] = e_cor;
99 xCaloPt[auxi_cor] = hCalo->GetBinContent(i+1);
100 exCaloPt[auxi_cor] = hCalo->GetBinError(i+1);
103 if (resp>0 && e_resp>0.000001 && e_resp<0.2)
105 Response[auxi_resp] = resp;
106 ResponseError[auxi_resp] = e_resp;
107 xRefPt[auxi_resp] = hRef->GetBinContent(i+1);
108 exRefPt[auxi_resp] = hRef->GetBinError(i+1);
112 g_Cor =
new TGraphErrors(auxi_cor,xCaloPt,Correction,exCaloPt,CorrectionError);
113 sprintf(name,
"CorFit");
114 CorFit =
new TF1(name,
"[0]+[1]/(pow(log10(x),[2])+[3])",xCaloPt[1],xCaloPt[auxi_cor-1]);
115 CorFit->SetParameter(0,1.);
116 CorFit->SetParameter(1,7.);
117 CorFit->SetParameter(2,4.);
118 CorFit->SetParameter(3,4.);
119 std::cout<<
"Fitting correction in the range: "<<xCaloPt[1]<<
" "<<xCaloPt[auxi_cor-1]<<std::endl;
120 g_Cor->Fit(CorFit,
"RQ");
121 fitter = TVirtualFitter::GetFitter();
122 COV_Cor =
new TMatrixD(4,4,fitter->GetCovarianceMatrix());
123 g_Resp =
new TGraphErrors(auxi_resp,xRefPt,Response,exRefPt,ResponseError);
124 sprintf(name,
"RespFit");
125 RespFit =
new TF1(name,
"[0]-[1]/(pow(log10(x),[2])+[3])+[4]/x",xRefPt[0],xRefPt[auxi_resp-1]);
126 RespFit->SetParameter(0,1.);
127 RespFit->SetParameter(1,1.);
128 RespFit->SetParameter(2,1.);
129 RespFit->SetParameter(3,1.);
130 RespFit->SetParameter(4,1.);
131 std::cout<<
"Fitting response in the range: "<<xRefPt[0]<<
" "<<xRefPt[auxi_resp-1]<<std::endl;
132 g_Resp->Fit(RespFit,
"RQ");
133 fitter = TVirtualFitter::GetFitter();
134 COV_Resp =
new TMatrixD(5,5,fitter->GetCovarianceMatrix());
140 CorFit->SetRange(MinCaloPt,MaxCaloPt);
141 RespFit->SetRange(MinRefPt,MaxRefPt);
143 L3CorrectionFile.setf(ios::left);
144 L3CorrectionFile <<setw(12)<<-5.191
147 <<setw(12)<<MinCaloPt
148 <<setw(12)<<MaxCaloPt
149 <<setw(12)<<CorFit->GetParameter(0)
150 <<setw(12)<<CorFit->GetParameter(1)
151 <<setw(12)<<CorFit->GetParameter(2)
152 <<setw(12)<<CorFit->GetParameter(3);
153 L3CorrectionFile.close();
155 L3ResponseFile.setf(ios::left);
156 L3ResponseFile <<setw(12)<<RespFit->GetParameter(0)
157 <<setw(12)<<RespFit->GetParameter(1)
158 <<setw(12)<<RespFit->GetParameter(2)
159 <<setw(12)<<RespFit->GetParameter(3)
160 <<setw(12)<<RespFit->GetParameter(4);
161 L3ResponseFile.close();
163 outf =
new TFile(L3OutputROOTFilename.c_str(),
"RECREATE");
164 g_Cor->Write(
"Correction_vs_CaloPt");
165 COV_Cor->Write(
"CovMatrix_Correction");
166 g_Resp->Write(
"Response_vs_RefPt");
167 COV_Resp->Write(
"CovMatrix_Resp");
std::vector< T > getVector(const std::string &name)
T getValue(const std::string &name)
string key
FastSim: produces sample of signal events, overlayed with premixed minbias events.
bool parse(int argc, char **argv)
bool HistoExists(std::vector< std::string > LIST, std::string hname)