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Comparing UserCode/cbrown/Development/Plotting/Modules/Plotting_Functions.C (file contents):
Revision 1.16 by buchmann, Mon Apr 30 08:38:11 2012 UTC vs.
Revision 1.29 by buchmann, Mon Jun 18 16:26:07 2012 UTC

# Line 30 | Line 30 | void todo() {
30    dout << "Info : The lepton requirement is currently set to " << (const char*) leptoncut << endl;
31   }  
32  
33 < void find_peaks(float &MCPeak,float &MCPeakError, float &DataPeak, float &DataPeakError, float &MCSigma, float &DataSigma, stringstream &result, bool doPUreweighting = true )
33 >
34 >
35 > void find_one_peak_combination(TCut specialcut, float &MCPeak,float &MCPeakError, float &DataPeak, float &DataPeakError, float &MCSigma, float &DataSigma, stringstream &result, bool doPUreweighting = true, string saveas="")
36   {
37    // Temporarily switch off PU reweighting, if asked
38    TCut weightbackup=cutWeight;
39    if ( !doPUreweighting ) cutWeight="1.0";
40 <
40 >  
41 >  int nbins=100;
42 >  if(PlottingSetup::DoBTag) nbins=25;
43 >  
44    TCanvas *tempcan = new TCanvas("tempcan","Temporary canvas for peak finding preparations");
45 <  TH1F *rawJZBeemmMC      = allsamples.Draw("rawJZBeemmMC",jzbvariablemc,100,-50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,mc, luminosity);
46 <  TH1F *rawJZBeemmData    = allsamples.Draw("rawJZBeemmData",jzbvariabledata,100, -50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,data, luminosity);
47 <  TH1F *rawJZBemMC      = allsamples.Draw("rawJZBemMC",jzbvariablemc,100,-50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,mc, luminosity);
48 <  TH1F *rawJZBemData    = allsamples.Draw("rawJZBemData",jzbvariabledata,100, -50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,data, luminosity);
45 >  TH1F *rawJZBeemmMC      = allsamples.Draw("rawJZBeemmMC",jzbvariablemc,nbins,-50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&specialcut,mc, luminosity);
46 >  TH1F *rawJZBeemmData    = allsamples.Draw("rawJZBeemmData",jzbvariabledata,nbins, -50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&specialcut,data, luminosity);
47 >  TH1F *rawJZBemMC      = allsamples.Draw("rawJZBemMC",jzbvariablemc,nbins,-50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&specialcut,mc, luminosity);
48 >  TH1F *rawJZBemData    = allsamples.Draw("rawJZBemData",jzbvariabledata,nbins, -50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&specialcut,data, luminosity);
49    TH1F *rawttbarjzbeemmMC;
50  
51    if(method==doKM) {
52      //we only need this histo for the KM fitting...
53 <    rawttbarjzbeemmMC = allsamples.Draw("rawttbarjzbeemmMC",jzbvariablemc,100, -50,50, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,luminosity,allsamples.FindSample("TTJet"));
54 <    MCPeak=find_peak(rawJZBeemmMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method);
55 <    DataPeak=find_peak(rawJZBeemmData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method);
53 >    rawttbarjzbeemmMC = allsamples.Draw("rawttbarjzbeemmMC",jzbvariablemc,nbins, -50,50, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets&&specialcut,mc,luminosity,allsamples.FindSample("TTJet"));
54 >    MCPeak=find_peak(rawJZBeemmMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method,saveas);
55 >    DataPeak=find_peak(rawJZBeemmData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method,saveas);
56 >    delete rawttbarjzbeemmMC;
57    }
58    else {
59      TH1F *reducedMC = (TH1F*)rawJZBeemmMC->Clone();
# Line 55 | Line 61 | void find_peaks(float &MCPeak,float &MCP
61      reducedMC->Add(rawJZBemMC,-1);
62      reducedData->Add(rawJZBemData,-1);
63      //this is Kostas' way of doing it - we subtract em to get rid of some of the ttbar contribution (in reality, of flavor-symmetric contribution)
64 <    MCPeak=find_peak(reducedMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method);
65 <    DataPeak=find_peak(reducedData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method);
66 <    
64 >    MCPeak=find_peak(reducedMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method,saveas);
65 >    DataPeak=find_peak(reducedData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method,saveas);
66 >    delete reducedMC;
67 >    delete reducedData;
68    }
69  
70    // Revert to original PU reweighting
# Line 65 | Line 72 | void find_peaks(float &MCPeak,float &MCP
72      
73   //  MCPeak=find_peak(rawJZBeemmMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method);
74   //  DataPeak=find_peak(rawJZBeemmData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method);
75 <  dout << "We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
76 <  result << "We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
77 <  dout << "We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
78 <  result << "We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
75 >  dout   << "   We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
76 >  result << "   We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
77 >  dout   << "   We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
78 >  result << "   We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
79 >  delete rawJZBeemmData;
80 >  delete rawJZBeemmMC;
81 >  delete rawJZBemData;
82 >  delete rawJZBemMC;
83    delete tempcan;
84   }
85  
86 + void find_peaks(float &MCPeak,float &MCPeakError, float &DataPeak, float &DataPeakError, stringstream &result, bool doPUreweighting, stringstream &datajzb, stringstream &mcjzb)
87 + {
88 +  float mcpeak, datapeak;
89 +  float mcpeakerr, datapeakerr;
90 +  
91 +  float mceepeak,mcmmpeak;
92 +  float mceepeakerr,mcmmpeakerr;
93 +  
94 +  float datammpeak,dataeepeak;
95 +  float datammpeakerr,dataeepeakerr;
96 +  
97 +  float mcSigma, dataSigma;
98 +  
99 +  dout << "Finding global peak : " << endl;
100 +  find_one_peak_combination(TCut(""),mcpeak,mcpeakerr, datapeak,datapeakerr,mcSigma, dataSigma,result,doPUreweighting,"");
101 +  dout << "Finding peak for electrons : " << endl;
102 +  find_one_peak_combination(TCut("id1==0"),mceepeak,mceepeakerr, dataeepeak,dataeepeakerr,mcSigma, dataSigma,result,doPUreweighting,"_ele");
103 +  dout << "Finding peak for muons : " << endl;
104 +  find_one_peak_combination(TCut("id1==1"),mcmmpeak,mcmmpeakerr, datammpeak,datammpeakerr,mcSigma, dataSigma,result,doPUreweighting,"_mu");
105 +  
106 +  datajzb << "(" << jzbvariabledata;
107 +  mcjzb << "(" << jzbvariablemc;
108 +  
109 +  if(dataeepeak>0) datajzb << "- (id1==id2)*(id1==0)*" << TMath::Abs(dataeepeak) << " ";
110 +  else datajzb << "+ (id1==id2)*(id1==0)*" << TMath::Abs(dataeepeak) << " ";
111 +  
112 +  if(datammpeak>0) datajzb << "- (id1==id2)*(id1==1)*" << TMath::Abs(datammpeak) << " ";
113 +  else datajzb << "+ (id1==id2)*(id1==1)*" << TMath::Abs(datammpeak) << " ";
114 +  
115 +  if(datapeak>0) datajzb << "- (id1!=id2)*" << TMath::Abs(datapeak) << " ";
116 +  else datajzb << "+ (id1!=id2)*" << TMath::Abs(datapeak) << " ";
117 +  
118 +  datajzb << ")";
119 +  
120 +  if(mceepeak>0) mcjzb << "- (id1==id2)*(id1==0)*" << TMath::Abs(mceepeak) << " ";
121 +  else mcjzb << "+ (id1==id2)*(id1==0)*" << TMath::Abs(mceepeak) << " ";
122 +  
123 +  if(mcmmpeak>0) mcjzb << "- (id1==id2)*(id1==1)*" << TMath::Abs(mcmmpeak) << " ";
124 +  else mcjzb << "+ (id1==id2)*(id1==1)*" << TMath::Abs(mcmmpeak) << " ";
125 +  
126 +  if(mcpeak>0) mcjzb << "- (id1!=id2)*" << TMath::Abs(mcpeak) << " ";
127 +  else mcjzb << "+ (id1!=id2)*" << TMath::Abs(mcpeak) << " ";
128 +  
129 +  mcjzb << ")";
130 + }
131 +
132   void make_special_obs_pred_mll_plot(string mcjzb, float jzbthreshold) {
133    float min=70.0;
134    float max=115.0;
# Line 269 | Line 326 | void make_kin_plot(string variable, stri
326    TCut cut;
327    cut=cutmass&&cutOSSF&&cutnJets&&ibasiccut;
328    if(filename=="nJets") cut=cutmass&&cutOSSF&&ibasiccut;
329 +  if(filename=="nJets_osof") cut=cutmass&&cutOSOF&&ibasiccut;
330    if(filename=="nJets_nocuts_except_mll_ossf") cut=cutmass&&cutOSSF;
331    if(filename=="mll") {
332          cut=cutOSSF&&cutnJets&&ibasiccut;
# Line 296 | Line 354 | void make_kin_plot(string variable, stri
354    THStack mcstack = allsamples.DrawStack("mcstack",variable,nbins,min,max, xlabel, "events",cut,mc,luminosity);
355    if(variable=="pfJetGoodPt[0]") datahisto->SetMaximum(10*datahisto->GetMaximum());
356    if(variable=="pt") datahisto->SetMaximum(10*datahisto->GetMaximum());
357 <  if(filename=="mll_inclusive") datahisto->SetMinimum(1);
357 >  if(filename=="mll_inclusive"||filename=="mll_inclusive_mm"||filename=="mll_inclusive_ee") datahisto->SetMinimum(1);
358    if(filename=="mll_osof") datahisto->SetMaximum(10*datahisto->GetMaximum());
359    if(filename=="mll_osof") datahisto->SetMinimum(9);
302
360    datahisto->SetMaximum(5.3*datahisto->GetMaximum());
361    datahisto->Draw("e1");
362    ckin->Update();
# Line 430 | Line 487 | void do_kinematic_plots(string mcjzb, st
487    bool dolog=true;
488    bool nolog=false;
489    if(doPF) write_warning(__FUNCTION__,"Please use caution when trying to produce PF plots; not all versions of the JZB trees have these variables!");
490 <  float mll_low=40;
490 >  float mll_low=50;
491    float mll_hi=160;
492    if(!PlottingSetup::RestrictToMassPeak) {
493 <        mll_low=10;
493 >        mll_low=20;
494          mll_hi=210;
495    }
496    
497 +  make_kin_plot("met[4]","",40,0,200,dolog,"MET [GeV]","met",doPF,true);
498    make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll",doPF,true);
499    make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_osof",doPF,true,true);
500    make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_ee",doPF,true);
# Line 444 | Line 502 | void do_kinematic_plots(string mcjzb, st
502    make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive",doPF,true);
503    make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_ee",doPF,true);
504    make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_mm",doPF,true);
505 <  make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_osof",doPF,true);
505 >  make_kin_plot("mll","",(int)((mll_hi-mll_low))/2,mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_osof",doPF,true);
506    make_kin_plot("mll","",(int)((350-mll_low)),mll_low,350,dolog,"m_{ll} [GeV]","mll_inclusive_highrange",doPF);
507    make_kin_plot("numVtx","",(int)(30.5-(-0.5)),-0.5,30.5,nolog,"N(Vtx)","numVtx",doPF);
508 <  make_kin_plot("jetpt[0]","",40,0,200,dolog,"leading jet p_{T} [GeV]","pfJetGoodPt_0",doPF);
509 <  make_kin_plot("jeteta[0]","",40,-5,5,nolog,"leading jet #eta","pfJetGoodEta_0",doPF);
508 > //  make_kin_plot("jetpt[0]","",40,0,200,dolog,"leading jet p_{T} [GeV]","pfJetGoodPt_0",doPF);
509 > //  make_kin_plot("jeteta[0]","",40,-5,5,nolog,"leading jet #eta","pfJetGoodEta_0",doPF);
510    make_kin_plot("pt","",50,0,400,dolog,"Z p_{T} [GeV]","Zpt",doPF);
511    make_kin_plot("pt1","",50,0,100,nolog,"p_{T} [GeV]","pt1",doPF);
512    make_kin_plot("pt2","",50,0,100,nolog,"p_{T} [GeV]","pt2",doPF);
513    make_kin_plot("eta1","",40,-5,5,nolog,"#eta_{l}","eta",doPF);
514    make_kin_plot("jzb[1]","",100,-150,150,dolog,"JZB [GeV]","jzb_ossf",doPF);
515 <  make_kin_plot("pfJetGoodNum","",8,0.5,8.5,dolog,"nJets","nJets",doPF);
516 <  make_kin_plot("pfJetGoodNum","",8,0.5,8.5,dolog,"nJets","nJets_nocuts_except_mll_ossf",doPF);
515 >  make_kin_plot("pfJetGoodNum40","",9,-0.5,8.5,dolog,"nJets","nJets",doPF);
516 >  make_kin_plot("pfJetGoodNum40","",9,-0.5,8.5,dolog,"nJets","nJets_osof",doPF);
517 >  make_kin_plot("pfJetGoodNum40","",9,-0.5,8.5,dolog,"nJets","nJets_nocuts_except_mll_ossf",doPF);
518    if(!doPF) make_special_mll_plot((int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]");
519    stringstream jzbcut;
520    jzbcut << "((is_data&&("<<datajzb<<")>100)||(!is_data&&("<<mcjzb<<")>100))";
# Line 469 | Line 528 | void do_kinematic_plots(string mcjzb, st
528    make_kin_plot("mll",jzbcut2.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_osof_aboveJZB150",doPF,true);
529    stringstream jzbcut3;
530    jzbcut3 << "((is_data&&("<<datajzb<<")>50)||(!is_data&&("<<mcjzb<<")>50))";
531 <  make_kin_plot("mll",jzbcut3.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB50",doPF,true);   make_kin_plot("mll",jzbcut3.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_osof_aboveJZB50",doPF,true,true);
531 >  make_kin_plot("mll",jzbcut3.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB50",doPF,true);  
532 >  make_kin_plot("mll",jzbcut3.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_osof_aboveJZB50",doPF,true,true);
533    
534    make_special_obs_pred_mll_plot(mcjzb,0);
535    make_special_obs_pred_mll_plot(mcjzb,50);
# Line 855 | Line 915 | if you want to start from scratch (witho
915    return return_functions;
916   }
917  
918 < void do_prediction_plot(string jzb, TCanvas *globalcanvas, float sigma, float high, int use_data, bool overlay_signal = false,string subdir="" )
918 > void do_prediction_plot(string jzb, TCanvas *globalcanvas, float high, int use_data, bool overlay_signal = false,string subdir="" )
919   {
860  // note: sigma is not used ATM
920    switch_overunderflow(true);
921    bool is_data=false;
922    bool use_signal=false;
# Line 932 | Line 991 | void do_prediction_plot(string jzb, TCan
991      
992    TH1F *Bpred = (TH1F*)LcorrJZBeemm->Clone("Bpred");
993    TH1F *JBpred = (TH1F*)JLcorrJZBeemm->Clone("Bpred");
994 +    
995 +  TH1F *BpredSys = new TH1F("Bpredsys","Bpredsys",PlottingSetup::global_ratio_binning.size()-1,&PlottingSetup::global_ratio_binning[0]);
996 +  ClearHisto(BpredSys);
997 +    
998    if(PlottingSetup::RestrictToMassPeak) {
999      Bpred->Add(RcorrJZBem,1.0/3.);
1000      Bpred->Add(LcorrJZBem,-1.0/3.);
# Line 954 | Line 1017 | void do_prediction_plot(string jzb, TCan
1017      JBpred->Add(JLcorrJZBSBem,-1.0/3.);
1018      JBpred->Add(JRcorrJZBSBeemm,1.0/3.);
1019      JBpred->Add(JLcorrJZBSBeemm,-1.0/3.);
1020 +      
1021 +    //Systematics:
1022 +    AddSquared(BpredSys,JLcorrJZBeemm,zjetsestimateuncertONPEAK*zjetsestimateuncertONPEAK);
1023 +    AddSquared(BpredSys,JRcorrJZBem,emuncertONPEAK*emuncertONPEAK*(1.0/9));
1024 +    AddSquared(BpredSys,JLcorrJZBem,emuncertONPEAK*emuncertONPEAK*(1.0/9));
1025 +    AddSquared(BpredSys,JRcorrJZBSBem,emsidebanduncertONPEAK*emsidebanduncertONPEAK*(1.0/9));
1026 +    AddSquared(BpredSys,JLcorrJZBSBem,emsidebanduncertONPEAK*emsidebanduncertONPEAK*(1.0/9));
1027 +    AddSquared(BpredSys,JRcorrJZBSBeemm,eemmsidebanduncertONPEAK*eemmsidebanduncertONPEAK*(1.0/9));
1028 +    AddSquared(BpredSys,JLcorrJZBSBeemm,eemmsidebanduncertONPEAK*eemmsidebanduncertONPEAK*(1.0/9));
1029    } else {
1030      Bpred->Add(RcorrJZBem,1.0);
1031      Bpred->Add(LcorrJZBem,-1.0);
# Line 963 | Line 1035 | void do_prediction_plot(string jzb, TCan
1035      //these are for the ratio
1036      JBpred->Add(JRcorrJZBem,1.0);
1037      JBpred->Add(JLcorrJZBem,-1.0);
1038 +      
1039 +    //Systematics
1040 +    AddSquared(BpredSys,JLcorrJZBeemm,zjetsestimateuncertOFFPEAK*zjetsestimateuncertOFFPEAK);
1041 +    AddSquared(BpredSys,JRcorrJZBem,emuncertOFFPEAK*emuncertOFFPEAK);
1042 +    AddSquared(BpredSys,JLcorrJZBem,emuncertOFFPEAK*emuncertOFFPEAK);
1043 +
1044    }
1045      
1046 <  
1046 >  SQRT(BpredSys);
1047 >  BpredSys->Divide(JBpred);
1048 >
1049    
1050    flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- prediction changed
1051    TH1F *Tpred = (TH1F*)RcorrJZBem->Clone("Bpred");
# Line 1022 | Line 1102 | void do_prediction_plot(string jzb, TCan
1102      lm4RcorrJZBeemm->Draw("hist,same");
1103      legBpred->AddEntry(RcorrJZBeemm,"observed","p");
1104      legBpred->AddEntry(Bpred,"predicted","l");
1105 <    legBpred->AddEntry(analytical_function[1],"predicted fit","l");
1106 <    legBpred->AddEntry(analytical_function[2],"stat. uncert.","l");
1107 <    if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1105 > //    legBpred->AddEntry(analytical_function[1],"predicted fit","l");
1106 > //    legBpred->AddEntry(analytical_function[2],"stat. uncert.","l");
1107 >    legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1108      legBpred->Draw();
1109      DrawPrelim();
1110  
# Line 1067 | Line 1147 | void do_prediction_plot(string jzb, TCan
1147   //    speciallegBpred->AddEntry(lm4RcorrJZBeemmC,"LM4","l");
1148      speciallegBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1149      speciallegBpred->Draw();
1150 <    save_with_ratio(JRcorrJZBeemm,JBpred,predcomppad,subdir+"Bpred_Data_____PredictionComposition",true,use_data!=1,"data/pred");
1150 >    save_with_ratio(JRcorrJZBeemm,JBpred,predcomppad,subdir+"Bpred_Data_____PredictionComposition",true,true,"data/pred",BpredSys);
1151      
1152      TCanvas *specialcanv = new TCanvas("specialcanv","specialcanv");
1153      THStack kostack = allsamples.DrawStack("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,!is_data, luminosity,use_signal);
# Line 1093 | Line 1173 | void do_prediction_plot(string jzb, TCan
1173      Bpred->Draw("hist,same");
1174      RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1175      legBpred->AddEntry(RcorrJZBeemm,"MC true","p");
1176 <    legBpred->AddEntry(Bpred,"MC predicted","l");
1176 >    legBpred->AddEntry(Bpred,"MC predicted","l");    
1177      if(versok) legBpred->AddEntry((TObject*)0,"",""); // Just for alignment // causes seg fault on root v5.18
1178      if(versok) legBpred->AddEntry((TObject*)0,"",""); // causes seg fault on root v5.18
1179      if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
# Line 1145 | Line 1225 | void do_prediction_plot(string jzb, TCan
1225    string ytitle("ratio");
1226    if ( use_data==1 ) ytitle = "data/pred";
1227    //save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,Bpredsaveas,true,use_data!=1,ytitle);
1228 <  save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,subdir+Bpredsaveas,true,false,ytitle);//not extending the y range anymore up to 4
1228 >  save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,subdir+Bpredsaveas,true,true,ytitle,BpredSys);//not extending the y range anymore up to 4
1229  
1230    
1231    flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1232 <  /// The part below is meaningless for the offpeak analysis (it's a comparison of the different estimates but there is but one estimate!)
1232 >  // The part below is meaningless for the offpeak analysis (it's a comparison of the different estimates but there is but one estimate!)
1233    if(PlottingSetup::RestrictToMassPeak) {
1234      TH1F *Bpredem = (TH1F*)LcorrJZBeemm->Clone("Bpredem");
1235      Bpredem->Add(RcorrJZBem);
# Line 1240 | Line 1320 | void do_prediction_plot(string jzb, TCan
1320  
1321   void do_prediction_plots(string mcjzb, string datajzb, float DataSigma, float MCSigma, bool overlay_signal ) {
1322    TCanvas *globalcanvas = new TCanvas("globalcanvas","Prediction Canvas");
1323 <  do_prediction_plot(datajzb,globalcanvas,DataSigma,jzbHigh ,data,overlay_signal);
1323 >  do_prediction_plot(datajzb,globalcanvas,jzbHigh ,data,overlay_signal);
1324    if ( !PlottingSetup::Approved ) {
1325 <    do_prediction_plot(mcjzb,globalcanvas,MCSigma,jzbHigh ,mc,overlay_signal);
1326 <    do_prediction_plot(mcjzb,globalcanvas,MCSigma,jzbHigh ,mcwithsignal,overlay_signal);
1325 >    do_prediction_plot(mcjzb,globalcanvas,jzbHigh ,mc,overlay_signal);
1326 >    do_prediction_plot(mcjzb,globalcanvas,jzbHigh ,mcwithsignal,overlay_signal);
1327    } else {
1328      write_info(__FUNCTION__,"You set approved to true, therefore not producing prediction/observation plots for MC with and without signal.");
1329    }
# Line 1678 | Line 1758 | void diboson_plots(string mcjzb, string
1758    dout << "Going to produce JZB plots" << endl;
1759    produce_stretched_jzb_plots(mcjzb,datajzb,ratio_binning);
1760    TCanvas *gloca = new TCanvas("gloca","gloca");
1681  float sigma=123456;
1761    
1762    dout << "Going to produce prediction plots" << endl;
1763 <  do_prediction_plot(mcjzb, gloca, sigma, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do only MC plots, no signal
1764 <  do_prediction_plot(mcjzb, gloca, sigma, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do MC plots with signal
1763 >  do_prediction_plot(mcjzb, gloca, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do only MC plots, no signal
1764 >  do_prediction_plot(mcjzb, gloca, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do MC plots with signal
1765    delete gloca;
1766  
1767    dout << "Going to reset the cross section for diboson samples ... " << endl;
# Line 2065 | Line 2144 | void draw_ttbar_and_zjets_shape(string m
2144    draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,all_leptons,threejetswith30gev,true);
2145   }
2146  
2147 < void find_correction_factors(string &jzbvardata,string &jzbvarmc) {
2069 <  //first: colorful plots
2147 > float find_one_correction_factor(string FindKeyword, TCut SpecialCut, string SaveAs) {
2148    TCanvas *cancorr = new TCanvas("cancorr","Canvas for Response Correction");
2149    cancorr->SetLogz();
2150    cancorr->SetRightMargin(0.13);
2151 <  flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
2152 <  TCut zptforresponsepresentation("pt<600"&&cutmass&&cutOSSF&&"((sumJetPt[1]/pt)<5.0)");
2151 >  TCut zptforresponsepresentation("pt<600"&&cutmass&&cutOSSF&&"((sumJetPt[1]/pt)<5.0)"&&SpecialCut);
2152 >  if(PlottingSetup::DoBTag) zptforresponsepresentation=zptforresponsepresentation&&PlottingSetup::bTagRequirement;
2153    TH2F *niceresponseplotd = new TH2F("niceresponseplotd","",100,0,600,100,0,5);
2154 <  (allsamples.collection)[allsamples.FindSample("Data")[0]].events->Draw("sumJetPt[1]/pt:pt>>niceresponseplotd",zptforresponsepresentation);
2154 >  vector<int> SampleIndices=allsamples.FindSample(FindKeyword);
2155 >  for(int iSample=0;iSample<SampleIndices.size();iSample++) {
2156 >    dout << "   Response correction : Using sample " << (allsamples.collection)[SampleIndices[iSample]].filename << endl;
2157 >    (allsamples.collection)[SampleIndices[iSample]].events->Draw("sumJetPt[1]/pt:pt>>+niceresponseplotd",zptforresponsepresentation*cutWeight);
2158 >  }
2159 >    
2160    niceresponseplotd->SetStats(0);
2161    niceresponseplotd->GetXaxis()->SetTitle("Z p_{T} [GeV]");
2162    niceresponseplotd->GetYaxis()->SetTitle("Response");
# Line 2082 | Line 2165 | void find_correction_factors(string &jzb
2165    niceresponseplotd->Draw("COLZ");
2166    TProfile * profd = (TProfile*)niceresponseplotd->ProfileX();
2167    profd->SetMarkerSize(DataMarkerSize);
2168 <  profd->Fit("pol0","","same,e1",30,400);
2168 >  profd->Fit("pol0","","same,e1",100,400);
2169    DrawPrelim();
2170 <  TText* title = write_text(0.5,0.7,"Data");
2170 >  string stitle="Data";
2171 >  if(!Contains(FindKeyword,"Data")) stitle="MC";
2172 >  TText* title = write_text(0.5,0.7,stitle.c_str());
2173    title->SetTextAlign(12);
2174    title->Draw();
2175    TF1 *datapol=(TF1*)profd->GetFunction("pol0");
2176 <  float datacorrection=datapol->GetParameter(0);
2177 <  stringstream dataresstring;
2178 <  dataresstring<<"Response: "<<std::setprecision(2)<<100*datacorrection<<" %";
2179 <  TText* restitle = write_text(0.5,0.65,dataresstring.str());
2176 >  float correction=datapol->GetParameter(0);
2177 >  stringstream resstring;
2178 >  resstring<<"Response: "<<std::setprecision(2)<<100*correction<<" %";
2179 >  TText* restitle = write_text(0.5,0.65,resstring.str());
2180    restitle->SetTextAlign(12);
2181    restitle->SetTextSize(0.03);
2182    restitle->Draw();
2183 <  CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_Data");
2183 >  CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_New_"+SaveAs);
2184 >  delete cancorr;
2185 >  delete niceresponseplotd;
2186 >  return correction;
2187 > }
2188 >
2189 > void find_correction_factors(string &jzbvardata,string &jzbvarmc) {
2190    
2191 <  TH2F *niceresponseplotm = new TH2F("niceresponseplotm","",100,0,600,100,0,5);
2192 <  (allsamples.collection)[allsamples.FindSample("DY")[0]].events->Draw("sumJetPt[1]/pt:pt>>niceresponseplotm",zptforresponsepresentation);
2193 <  niceresponseplotm->SetStats(0);
2194 <  niceresponseplotm->GetXaxis()->SetTitle("Z p_{T} [GeV]");
2195 <  niceresponseplotm->GetYaxis()->SetTitle("Response");
2196 <  niceresponseplotm->GetXaxis()->CenterTitle();
2197 <  niceresponseplotm->GetYaxis()->CenterTitle();
2198 <  niceresponseplotm->Draw("COLZ");
2199 <  (allsamples.collection)[allsamples.FindSample("DY")[0]].events->Draw("sumJetPt[1]/pt:pt",zptforresponsepresentation,"PROF,same");
2200 <  TProfile * profm = (TProfile*)niceresponseplotm->ProfileX();
2201 <  profm->SetMarkerSize(DataMarkerSize);
2202 <  profm->Fit("pol0","","same,e1",30,400);
2203 <  DrawMCPrelim();
2204 <  title = write_text(0.5,0.7,"MC simulation");
2205 <  title->SetTextAlign(12);
2206 <  title->Draw();
2207 <  TF1 *mcpol=(TF1*)profm->GetFunction("pol0");
2208 <  float mccorrection=mcpol->GetParameter(0);
2209 <  stringstream mcresstring;
2210 <  mcresstring<<"Response: "<<std::setprecision(2)<<100*mccorrection<<" %";
2120 <  TText* mcrestitle = write_text(0.5,0.65,mcresstring.str());
2121 <  mcrestitle->SetTextAlign(12);
2122 <  mcrestitle->SetTextSize(0.03);
2123 <  mcrestitle->Draw();
2124 <  CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_MC");
2191 >  //Step 1 : Get results
2192 >  float datacorrection=find_one_correction_factor("Data","","Data");
2193 >  float mccorrection=find_one_correction_factor("DY","","MC");
2194 >  
2195 >  float dataEEcorrection=find_one_correction_factor("Data","id1==0","Data_ee");
2196 >  float mcEEcorrection=find_one_correction_factor("DY","id1==0","MC_ee");
2197 >  
2198 >  float dataMMcorrection=find_one_correction_factor("Data","id1==1","Data_mm");
2199 >  float mcMMcorrection=find_one_correction_factor("DY","id1==1","MC_mm");
2200 >  
2201 >  cout << "Corrections : " << endl;
2202 >  cout << "   Data : " << datacorrection << endl;
2203 >  cout << "     ee (" << dataEEcorrection << ") , mm (" << dataMMcorrection << ")" << endl;
2204 >  cout << "   MC : " << mccorrection << endl;
2205 >  cout << "     ee (" << mcEEcorrection << ") , mm (" << mcMMcorrection << ")" << endl;
2206 >  
2207 >  cout << "        result from new one for data: " << 0.937097 << endl;
2208 >  cout << "        result from old one for data: " << 0.937097 << endl;
2209 >  cout << "        result from new one for MC: " << 0.96848 << endl;
2210 >  cout << "        result from old one for MC: " << 0.963502 << endl;
2211    
2212    
2213 <  //Step 2: Getting the result
2128 < //  TCut zptcutforresponse("pt>30&&pt<300&&TMath::Abs(91.2-mll)<20&&id1==id2&&(ch1*ch2<0)");
2213 >  //Step 2: Processing the result and making it into something useful :-)
2214    stringstream jzbvardatas;
2215 <  if(datacorrection>1) jzbvardatas<<"(jzb[1]-"<<datacorrection-1<<"*pt)";
2216 <  if(datacorrection<1) jzbvardatas<<"(jzb[1]+"<<1-datacorrection<<"*pt)";
2215 >  jzbvardatas << "(";
2216 >  
2217 >  if(dataEEcorrection>=1) jzbvardatas<<"((id1==0&&id1==id2)*(jzb[1]-" << dataEEcorrection-1 << "*pt))";
2218 >  if(dataEEcorrection<1)  jzbvardatas<<"((id1==0&&id1==id2)*(jzb[1]+" << 1-dataEEcorrection << "*pt))";
2219 >  
2220 >  if(dataMMcorrection>=1) jzbvardatas<<"+((id1==1&&id1==id2)*(jzb[1]-" << dataMMcorrection-1 << "*pt))";
2221 >  if(dataMMcorrection<1)  jzbvardatas<<"+((id1==1&&id1==id2)*(jzb[1]+" << 1-dataMMcorrection << "*pt))";
2222 >  
2223 >  float averagecorrection=(dataMMcorrection+dataEEcorrection)/2.0;
2224 >  
2225 >  if(averagecorrection>1) jzbvardatas<<"+((id1!=id2)*(jzb[1]-" << averagecorrection-1 << "*pt))";
2226 >  if(averagecorrection<1) jzbvardatas<<"+((id1!=id2)*(jzb[1]-" << 1-averagecorrection << "*pt))";
2227 >  
2228 >  jzbvardatas << ")";
2229    jzbvardata=jzbvardatas.str();
2230 +  
2231    stringstream jzbvarmcs;
2232 <  if(mccorrection>1) jzbvarmcs<<"(jzb[1]-"<<mccorrection-1<<"*pt)";
2233 <  if(mccorrection<1) jzbvarmcs<<"(jzb[1]+"<<1-mccorrection<<"*pt)";
2232 >  jzbvarmcs << "(";
2233 >  
2234 >  if(mcEEcorrection>=1) jzbvarmcs<<"((id1==0&&id1==id2)*(jzb[1]-" << mcEEcorrection-1 << "*pt))";
2235 >  if(mcEEcorrection<1)  jzbvarmcs<<"((id1==0&&id1==id2)*(jzb[1]+" << 1-mcEEcorrection << "*pt))";
2236 >  
2237 >  if(mcMMcorrection>=1) jzbvarmcs<<"+((id1==1&&id1==id2)*(jzb[1]-" << mcMMcorrection-1 << "*pt))";
2238 >  if(mcMMcorrection<1)  jzbvarmcs<<"+((id1==1&&id1==id2)*(jzb[1]+" << 1-mcMMcorrection << "*pt))";
2239 >  
2240 >  float averagemccorrection=(mcMMcorrection+mcEEcorrection)/2.0;
2241 >  
2242 >  if(averagemccorrection>1) jzbvarmcs<<"+((id1!=id2)*(jzb[1]-" << averagemccorrection-1 << "*pt))";
2243 >  if(averagemccorrection<1) jzbvarmcs<<"+((id1!=id2)*(jzb[1]-" << 1-averagemccorrection << "*pt))";
2244 >  
2245 >  jzbvarmcs << ")";
2246    jzbvarmc=jzbvarmcs.str();
2247 +
2248    dout << "JZB Z pt correction summary : " << endl;
2249    dout << "  Data: The response is " << datacorrection << "  --> jzb variable is now : " << jzbvardata << endl;
2250    dout << "  MC  : The response is " << mccorrection << "  --> jzb variable is now : " << jzbvarmc << endl;
2251 +  
2252   }
2253  
2254   void pick_up_events(string cut) {
# Line 2144 | Line 2256 | void pick_up_events(string cut) {
2256    allsamples.PickUpEvents(cut);
2257   }
2258  
2259 < void save_template(string mcjzb, string datajzb,vector<float> jzb_cuts,float MCPeakError,float DataPeakError) {
2259 > void save_template(string mcjzb, string datajzb,vector<float> jzb_cuts,float MCPeakError,float DataPeakError, vector<float> jzb_shape_limit_bins) {
2260    dout << "Saving configuration template!" << endl;
2261    ofstream configfile;
2262    configfile.open("../DistributedModelCalculations/last_configuration.C");
# Line 2164 | Line 2276 | void save_template(string mcjzb, string
2276    configfile<<"string datajzb=\"datajzb_ERROR\";\n";
2277    configfile<<"string mcjzb=\"mcjzb_ERROR\";\n";
2278    configfile<<"vector<float>jzb_cuts;\n";
2279 +  configfile<<"vector<float>jzb_shape_limit_bins;\n";
2280    configfile<<"float MCPeakError=-999;\n";
2281    configfile<<"float DataPeakError=-999;\n";
2282    configfile<<"}\n\n";
# Line 2182 | Line 2295 | void save_template(string mcjzb, string
2295    for(int i=0;i<(int)flippedNobs.size();i++) configfile<<"flippedNobs.push_back("<<flippedNobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2296    for(int i=0;i<(int)flippedNpred.size();i++) configfile<<"flippedNpred.push_back("<<flippedNpred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2297    for(int i=0;i<(int)flippedNprederr.size();i++) configfile<<"flippedNprederr.push_back("<<flippedNprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2298 +  for(int i=0;i<(int)jzb_shape_limit_bins.size();i++) configfile<<"jzb_shape_limit_bins.push_back("<<jzb_shape_limit_bins[i]<<"); // JZB shape bin boundary at " << jzb_shape_limit_bins[i] << "\n";
2299 +  configfile<<"\n\n";
2300    configfile<<"\n\n";
2301    configfile<<"luminosity="<<luminosity<<";\n";
2302    configfile<<"RestrictToMassPeak="<<RestrictToMassPeak<<";//defines the type of analysis we're running\n";
# Line 2227 | Line 2342 | void ttbar_sidebands_comparison(string m
2342    //in the case of the on peak analysis, we compare the 3 control regions to the real value
2343    //in the case of the OFF peak analysis, we compare our control region to the real value
2344    TCut weightbackup=cutWeight;
2345 <  cutWeight="1.0";
2345 > //  cutWeight="1.0";
2346    float simulatedlumi = luminosity; //in pb please - adjust to your likings
2347    
2348  
# Line 2285 | Line 2400 | void ttbar_sidebands_comparison(string m
2400    leg->Draw("same");
2401    DrawMCPrelim(simulatedlumi);
2402    CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_shape_comparison");
2288 cout << __LINE__ << endl;  
2403    TH1F *TZemcopy = (TH1F*)TZem->Clone("TZemcopy");
2290 cout << __LINE__ << endl;  
2404    TH1F *TZeemmcopy = (TH1F*)TZeemm->Clone("TZeemmcopy");
2292 cout << __LINE__ << endl;  
2405    TH1F *TSeemmcopy;
2406    TH1F *TSemcopy;
2407    if(PlottingSetup::RestrictToMassPeak) {
# Line 2480 | Line 2592 | void ttbar_sidebands_comparison(string m
2592   }
2593  
2594  
2595 < void zjets_prediction_comparison() {
2595 > void zjets_prediction_comparison(string mcjzbWithPU) {
2596 >  TCanvas *zcan = new TCanvas("zcan","zcan");  
2597 >  zcan->SetLogy(1);
2598 >  TCut weightbackup=cutWeight;
2599 >
2600 > /*
2601    // Do it without PU re-weighting
2602    float MCPeakNoPU=0,MCPeakErrorNoPU=0,DataPeakNoPU=0,DataPeakErrorNoPU=0,MCSigma=0,DataSigma=0;
2603    stringstream resultsNoPU;
2604  
2605    stringstream mcjzbnoPU;
2606 <  find_peaks(MCPeakNoPU,MCPeakErrorNoPU, DataPeakNoPU, DataPeakErrorNoPU,MCSigma,DataSigma,resultsNoPU,false);
2606 >  find_peaks(MCPeakNoPU,MCPeakErrorNoPU, DataPeakNoPU, DataPeakErrorNoPU,MCSigma,DataSigma,resultsNoPU,true);
2607    if(MCPeakNoPU>0) mcjzbnoPU<<"("<<jzbvariablemc<<"-"<<TMath::Abs(MCPeakNoPU)<<")";
2608    else mcjzbnoPU<<"("<<jzbvariablemc<<"+"<<TMath::Abs(MCPeakNoPU)<<")";
2609  
2610    string mcjzb = mcjzbnoPU.str();
2611    dout << "The peak corrected JZB expression for MC without pileup is : " <<  mcjzb << endl;
2612  
2496  TCut weightbackup=cutWeight;
2613    cutWeight="1.0";
2614 <  float sbg_min=0.;
2615 <  float sbg_max=100.;
2616 <  int sbg_nbins=5;
2614 > */
2615 >  string mcjzb = mcjzbWithPU; // this is with PURW, if you want without it you have to uncomment the part above (and comment out this line)
2616 >  
2617 >  vector<float> binning;
2618 >  binning.push_back(0);
2619 >  binning.push_back(20);
2620 >  binning.push_back(40);
2621 >  binning.push_back(60);
2622 >  binning.push_back(80);
2623 >  binning.push_back(100);
2624 > //  float sbg_min=0.;
2625 > //  float sbg_max=100.;
2626 > //  int sbg_nbins=5;
2627    float simulatedlumi = luminosity;//in pb please - adjust to your likings
2628    
2629    TCut kPos((mcjzb+">0").c_str());
2630    TCut kNeg((mcjzb+"<0").c_str());
2631    string var( "abs("+mcjzb+")" );
2632  
2633 <  TCut kcut(cutmass&&cutOSSF&&"pfJetGoodNum>2");
2634 <  TH1F *hJZBpos = systsamples.Draw("hJZBpos",var,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",
2635 <                                  kcut&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
2510 <  TH1F *hJZBneg = systsamples.Draw("hJZBneg",var,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",
2511 <                                  kcut&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
2633 >  TCut kcut(cutmass&&cutOSSF&&cutnJets);
2634 >  TH1F *hJZBpos = systsamples.Draw("hJZBpos",var,binning, "JZB [GeV]", "events",kcut&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
2635 >  TH1F *hJZBneg = systsamples.Draw("hJZBneg",var,binning, "JZB [GeV]", "events",kcut&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
2636    hJZBpos->SetLineColor(kBlack);
2637    hJZBneg->SetLineColor(kRed);
2638    
2639 <  TCanvas *zcan = new TCanvas("zcan","zcan");  
2516 <  zcan->SetLogy(1);
2517 <
2639 >  hJZBpos->SetMinimum(1.0);
2640    hJZBpos->Draw("e1");
2641    hJZBneg->Draw("same,hist");
2642    hJZBpos->Draw("same,e1"); // So it's on top...
# Line 2534 | Line 2656 | void zjets_prediction_comparison() {
2656    hratio->GetYaxis()->SetTitle("Observed/Predicted");
2657    hratio->Draw("e1");
2658    
2659 <  TLine *top = new TLine(sbg_min,1.25,sbg_max,1.25);
2660 <  TLine *center = new TLine(sbg_min,1.0,sbg_max,1.0);
2661 <  TLine *bottom = new TLine(sbg_min,0.75,sbg_max,0.75);
2659 >  TLine *top = new TLine(binning[0],1.25,binning[binning.size()-1],1.25);
2660 >  TLine *center = new TLine(binning[0],1.0,binning[binning.size()-1],1.0);
2661 >  TLine *bottom = new TLine(binning[0],0.75,binning[binning.size()-1],0.75);
2662    
2663  
2664    top->SetLineColor(kBlue);top->SetLineStyle(2);
# Line 2578 | Line 2700 | void sideband_assessment(string datajzb,
2700    tout << "\\begin{tabular}{l|cc}" << endl;
2701    tout << "\\hline" << endl;
2702    tout << "& {\\OFZP} & {\\OFSB} \\\\\\hline" << endl;
2703 <  tout << "\\#(events) & "<<OFSB<<" & "<<OFZP<<"\\\\ \\hline" << endl;
2703 >  tout << "\\#(events) & "<<OFZP<<" & "<<OFSB<<"\\\\ \\hline" << endl;
2704    tout << "\\end{tabular}" << endl;
2705    tout << "\\end{center}" << endl;
2706    tout << "\\end{table}" << endl;
# Line 2901 | Line 3023 | void qcd_plots(string datajzb, string mc
3023    //3rd last argument: do special bpred ratio, 2nd last argument: extended range!, last: y-axis title
3024    string ytitle("ratio");
3025    if ( use_data==1 ) ytitle = "data/pred";
3026 <  save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,"QCD/Bpred",true,use_data!=1,ytitle);
3026 >  save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,"QCD/Bpred",true,false,ytitle);
3027    
3028    TH1F *allevents = qcdsamples.Draw("allevents","pfJetGoodNum",1,0,100, "internal code", "events", "" ,mc, luminosity);
3029    TH1F *ossf = qcdsamples.Draw("ossf","pfJetGoodNum",1,0,100, "internal code", "events", cutOSSF ,mc, luminosity);

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