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Comparing UserCode/cbrown/Development/Plotting/Modules/Plotting_Functions.C (file contents):
Revision 1.2 by buchmann, Thu Feb 9 16:02:21 2012 UTC vs.
Revision 1.31 by buchmann, Wed Jun 27 14:39:51 2012 UTC

# Line 23 | Line 23 | using namespace PlottingSetup;
23   void todo() {
24    dout << "My to do list: " << endl;
25    dout << "  - ExperimentalModule::Poisson_ratio_plot : Get the second part to work!" << endl;
26 +  dout << "  - compare_onpeak_offpeak_signal_distributions: Implement this function ... " << endl;
27    dout << "Info : The trigger requirement is currently set to " << (const char*) passtrig << endl;
28 +  dout << "Info : The pt requirement is currently set to " << (const char*) passtrig << endl;
29 +  dout << "Info : The mll requirement is currently set to " << (const char*) cutmass << endl;
30 +  dout << "Info : The lepton requirement is currently set to " << (const char*) leptoncut << endl;
31 +  dout << "Info : The weight applied to all MC is " << (const char*) cutWeight << endl;
32   }  
33  
34 < void find_peaks(float &MCPeak,float &MCPeakError, float &DataPeak, float &DataPeakError, float &MCSigma, float &DataSigma, stringstream &result, bool doPUreweighting = true )
34 >
35 >
36 > 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="")
37   {
38    // Temporarily switch off PU reweighting, if asked
39    TCut weightbackup=cutWeight;
40    if ( !doPUreweighting ) cutWeight="1.0";
41 <
41 >  
42 >  int nbins=100;
43 >  if(PlottingSetup::DoBTag) nbins=25;
44 >  
45    TCanvas *tempcan = new TCanvas("tempcan","Temporary canvas for peak finding preparations");
46 <  TH1F *rawJZBeemmMC      = allsamples.Draw("rawJZBeemmMC",jzbvariablemc,100,-50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,mc, luminosity);
47 <  TH1F *rawJZBeemmData    = allsamples.Draw("rawJZBeemmData",jzbvariabledata,100, -50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,data, luminosity);
48 <  TH1F *rawJZBemMC      = allsamples.Draw("rawJZBemMC",jzbvariablemc,100,-50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,mc, luminosity);
49 <  TH1F *rawJZBemData    = allsamples.Draw("rawJZBemData",jzbvariabledata,100, -50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,data, luminosity);
46 >  TH1F *rawJZBeemmMC      = allsamples.Draw("rawJZBeemmMC",jzbvariablemc,nbins,-50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&specialcut,mc, luminosity);
47 >  TH1F *rawJZBeemmData    = allsamples.Draw("rawJZBeemmData",jzbvariabledata,nbins, -50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&specialcut,data, luminosity);
48 >  TH1F *rawJZBemMC      = allsamples.Draw("rawJZBemMC",jzbvariablemc,nbins,-50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&specialcut,mc, luminosity);
49 >  TH1F *rawJZBemData    = allsamples.Draw("rawJZBemData",jzbvariabledata,nbins, -50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&specialcut,data, luminosity);
50    TH1F *rawttbarjzbeemmMC;
51  
52    if(method==doKM) {
53      //we only need this histo for the KM fitting...
54 <    rawttbarjzbeemmMC = allsamples.Draw("rawttbarjzbeemmMC",jzbvariablemc,100, -50,50, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,luminosity,allsamples.FindSample("TTJet"));
55 <    MCPeak=find_peak(rawJZBeemmMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method);
56 <    DataPeak=find_peak(rawJZBeemmData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method);
54 >    rawttbarjzbeemmMC = allsamples.Draw("rawttbarjzbeemmMC",jzbvariablemc,nbins, -50,50, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets&&specialcut,mc,luminosity,allsamples.FindSample("TTJet"));
55 >    MCPeak=find_peak(rawJZBeemmMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method,saveas);
56 >    DataPeak=find_peak(rawJZBeemmData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method,saveas);
57 >    delete rawttbarjzbeemmMC;
58    }
59    else {
60      TH1F *reducedMC = (TH1F*)rawJZBeemmMC->Clone();
# Line 51 | Line 62 | void find_peaks(float &MCPeak,float &MCP
62      reducedMC->Add(rawJZBemMC,-1);
63      reducedData->Add(rawJZBemData,-1);
64      //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)
65 <    MCPeak=find_peak(reducedMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method);
66 <    DataPeak=find_peak(reducedData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method);
67 <    
65 >    MCPeak=find_peak(reducedMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method,saveas);
66 >    DataPeak=find_peak(reducedData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method,saveas);
67 >    delete reducedMC;
68 >    delete reducedData;
69    }
70  
71    // Revert to original PU reweighting
# Line 61 | Line 73 | void find_peaks(float &MCPeak,float &MCP
73      
74   //  MCPeak=find_peak(rawJZBeemmMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method);
75   //  DataPeak=find_peak(rawJZBeemmData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method);
76 <  dout << "We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
77 <  result << "We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
78 <  dout << "We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
79 <  result << "We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
76 >  dout   << "   We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
77 >  result << "   We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
78 >  dout   << "   We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
79 >  result << "   We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
80 >  delete rawJZBeemmData;
81 >  delete rawJZBeemmMC;
82 >  delete rawJZBemData;
83 >  delete rawJZBemMC;
84    delete tempcan;
85   }
86  
87 + void find_peaks(float &MCPeak,float &MCPeakError, float &DataPeak, float &DataPeakError, stringstream &result, bool doPUreweighting, stringstream &datajzb, stringstream &mcjzb)
88 + {
89 +  
90 +  bool DoInvidualeemmPeaks=false;
91 +  
92 +  float mcpeak, datapeak;
93 +  float mcpeakerr, datapeakerr;
94 +  
95 +  float mceepeak,mcmmpeak;
96 +  float mceepeakerr,mcmmpeakerr;
97 +  
98 +  float datammpeak,dataeepeak;
99 +  float datammpeakerr,dataeepeakerr;
100 +  
101 +  float mcSigma, dataSigma;
102 +  
103 +  dout << "Finding global peak : " << endl;
104 +  find_one_peak_combination(TCut(""),mcpeak,mcpeakerr, datapeak,datapeakerr,mcSigma, dataSigma,result,doPUreweighting,"");
105 +  
106 +  if(DoInvidualeemmPeaks) {
107 +    dout << "Finding peak for electrons : " << endl;
108 +    find_one_peak_combination(TCut("id1==0"),mceepeak,mceepeakerr, dataeepeak,dataeepeakerr,mcSigma, dataSigma,result,doPUreweighting,"_ele");
109 +    dout << "Finding peak for muons : " << endl;
110 +    find_one_peak_combination(TCut("id1==1"),mcmmpeak,mcmmpeakerr, datammpeak,datammpeakerr,mcSigma, dataSigma,result,doPUreweighting,"_mu");
111 +    
112 +    datajzb << "(" << jzbvariabledata;
113 +    mcjzb << "(" << jzbvariablemc;
114 +    
115 +    if(dataeepeak>0) datajzb << "- (id1==id2)*(id1==0)*" << TMath::Abs(dataeepeak) << " ";
116 +    else datajzb << "+ (id1==id2)*(id1==0)*" << TMath::Abs(dataeepeak) << " ";
117 +    
118 +    if(datammpeak>0) datajzb << "- (id1==id2)*(id1==1)*" << TMath::Abs(datammpeak) << " ";
119 +    else datajzb << "+ (id1==id2)*(id1==1)*" << TMath::Abs(datammpeak) << " ";
120 +    
121 +    if(datapeak>0) datajzb << "- (id1!=id2)*" << TMath::Abs(datapeak) << " ";
122 +    else datajzb << "+ (id1!=id2)*" << TMath::Abs(datapeak) << " ";
123 +    
124 +    datajzb << ")";
125 +    
126 +    if(mceepeak>0) mcjzb << "- (id1==id2)*(id1==0)*" << TMath::Abs(mceepeak) << " ";
127 +    else mcjzb << "+ (id1==id2)*(id1==0)*" << TMath::Abs(mceepeak) << " ";
128 +    
129 +    if(mcmmpeak>0) mcjzb << "- (id1==id2)*(id1==1)*" << TMath::Abs(mcmmpeak) << " ";
130 +    else mcjzb << "+ (id1==id2)*(id1==1)*" << TMath::Abs(mcmmpeak) << " ";
131 +    
132 +    if(mcpeak>0) mcjzb << "- (id1!=id2)*" << TMath::Abs(mcpeak) << " ";
133 +    else mcjzb << "+ (id1!=id2)*" << TMath::Abs(mcpeak) << " ";
134 +    
135 +    mcjzb << ")";
136 +  } else {
137 +    datajzb << "(" << jzbvariabledata;
138 +    mcjzb << "(" << jzbvariablemc;
139 +    
140 +    if(datapeak>0) datajzb << "- " << TMath::Abs(datapeak) << " ";
141 +    else datajzb << "+ " << TMath::Abs(datapeak) << " ";
142 +    
143 +    datajzb << ")";
144 +    
145 +    if(mcpeak>0) mcjzb << "- " << TMath::Abs(mcpeak) << " ";
146 +    else mcjzb << "+ " << TMath::Abs(mcpeak) << " ";
147 +    
148 +    mcjzb << ")";
149 +  }
150 +    
151 +  
152 + }
153 +
154 + void make_special_obs_pred_mll_plot(string mcjzb, float jzbthreshold) {
155 +  float min=70.0;
156 +  float max=115.0;
157 +  if(!PlottingSetup::RestrictToMassPeak) {
158 +    min=10;
159 +    max=150;
160 +  }
161 +  int nbins=int((max-min)/5);
162 +  
163 +  TCanvas *ckin = new TCanvas("ckin","Kinematic Plots (in the making)",600,600);
164 +  
165 +  stringstream largerzeroS;
166 +  largerzeroS << "(" << mcjzb << ">" << jzbthreshold << ")";
167 +  TCut largerzero(largerzeroS.str().c_str());
168 +  
169 +  stringstream smallerzeroS;
170 +  smallerzeroS << "(" << mcjzb << "<-" << jzbthreshold << ")";
171 +  TCut smallerzero(smallerzeroS.str().c_str());
172 +  
173 +  TH1F *RcorrJZBeemm     = allsamples.Draw("RcorrJZBeemm",       "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSSF&&cutnJets,data,luminosity);
174 +  THStack mcRcorrJZBeemm = allsamples.DrawStack("mcRcorrJZBeemm","mll",nbins,min,max, "m_{ll} [GeV}", "events", cutmass&&cutOSSF&&cutnJets,mc,luminosity);
175 +  TH1F *LcorrJZBeemm     = allsamples.Draw("LcorrJZBeemm",       "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSSF&&cutnJets,data,luminosity);
176 +  TH1F *RcorrJZBem       = allsamples.Draw("RcorrJZBem",         "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSOF&&cutnJets,data,luminosity);
177 +  TH1F *LcorrJZBem       = allsamples.Draw("LcorrJZBem",         "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSOF&&cutnJets,data,luminosity);
178 +
179 +  TH1F *RcorrJZBSBem;
180 +  TH1F *LcorrJZBSBem;
181 +  TH1F *RcorrJZBSBeemm;
182 +  TH1F *LcorrJZBSBeemm;
183 +  
184 + //  TH1F *RcorrJZBeemmNoS;
185 +
186 +  if(PlottingSetup::RestrictToMassPeak) {
187 +    RcorrJZBSBem   = allsamples.Draw("RcorrJZBSBem",  "mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,data, luminosity);
188 +    LcorrJZBSBem   = allsamples.Draw("LcorrJZBSBem",  "mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,data, luminosity);
189 +    RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm","mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,data, luminosity);
190 +    LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm","mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,data, luminosity);
191 +  }
192 +  
193 +  TH1F *Bpred = (TH1F*)LcorrJZBeemm->Clone("Bpred");
194 +  if(PlottingSetup::RestrictToMassPeak) {
195 +    Bpred->Add(RcorrJZBem,1.0/3.);
196 +    Bpred->Add(LcorrJZBem,-1.0/3.);
197 +    Bpred->Add(RcorrJZBSBem,1.0/3.);
198 +    Bpred->Add(LcorrJZBSBem,-1.0/3.);
199 +    Bpred->Add(RcorrJZBSBeemm,1.0/3.);
200 +    Bpred->Add(LcorrJZBSBeemm,-1.0/3.);
201 +  } else {
202 +    Bpred->Add(RcorrJZBem,1.0);
203 +    Bpred->Add(LcorrJZBem,-1.0);
204 +  }
205 +  
206 +  Bpred->SetLineColor(kRed);
207 +  
208 +  RcorrJZBeemm->Draw();
209 +  mcRcorrJZBeemm.Draw("same");
210 +  Bpred->Draw("histo,same");
211 +  RcorrJZBeemm->Draw("same");
212 +  
213 +  TLegend *leg = allsamples.allbglegend();
214 +  leg->SetX1(0.58);
215 +  leg->AddEntry(RcorrJZBeemm,"observed (data)","l");
216 +  leg->AddEntry(Bpred,"predicted (data)","l");
217 +  leg->Draw("same");
218 +  
219 +  stringstream saveas;
220 +  saveas << "kin/Mll_After_Cut/Cut_At" << jzbthreshold;
221 +  CompleteSave(ckin,saveas.str());
222 +
223 +  delete RcorrJZBeemm;
224 +  delete LcorrJZBeemm;
225 +  delete RcorrJZBem;
226 +  delete LcorrJZBem;
227 +  if(PlottingSetup::RestrictToMassPeak) {
228 +    delete RcorrJZBSBeemm;
229 +    delete LcorrJZBSBeemm;
230 +    delete RcorrJZBSBem;
231 +    delete LcorrJZBSBem;
232 +  }
233 +  delete Bpred;
234 +  delete ckin;
235 + }
236 +
237   void make_special_mll_plot(int nbins, float min, float max, bool logscale,string xlabel) {
238    
239    TCanvas *ckin = new TCanvas("ckin","Kinematic Plots (in the making)",600,600);
# Line 102 | Line 268 | void make_special_mll_plot(int nbins, fl
268    TIter next(bgleg->GetListOfPrimitives());
269    TObject* obj;
270    // Copy the nice bkgd legend skipping the "data"
271 <  while ( obj = next() )
271 >  while ( (obj = next()) )
272      if ( strcmp(((TLegendEntry*)obj)->GetObject()->GetName(),"datahistoOSSF") )
273        kinleg->GetListOfPrimitives()->Add(obj);
274  
# Line 121 | Line 287 | void draw_ratio_plot(TH1* hdata, THStack
287    TIter next(hmc.GetHists());
288    TObject* obj;
289    TH1* hratio = NULL;
290 <  while ( obj = next() ) {
290 >  while ( (obj = next()) ) {
291      if ( !hratio ) {
292        hratio = (TH1*)obj->Clone();
293        hratio->SetName("hratio");
# Line 182 | Line 348 | void make_kin_plot(string variable, stri
348    TCut cut;
349    cut=cutmass&&cutOSSF&&cutnJets&&ibasiccut;
350    if(filename=="nJets") cut=cutmass&&cutOSSF&&ibasiccut;
351 +  if(filename=="nJets_osof") cut=cutmass&&cutOSOF&&ibasiccut;
352    if(filename=="nJets_nocuts_except_mll_ossf") cut=cutmass&&cutOSSF;
353    if(filename=="mll") {
354          cut=cutOSSF&&cutnJets&&ibasiccut;
# Line 193 | Line 360 | void make_kin_plot(string variable, stri
360          draw_separation_lines=true;
361    }
362    if(filename=="mll_mm") cut=cutOSSF&&cutnJets&&ibasiccut&&"id1==1";
363 <  if(filename=="mll_aboveJZB100") cut=cutOSSF&&cutnJets&&ibasiccut;
363 >  if(Contains(filename,"mll_aboveJZB100")) cut=cutOSSF&&cutnJets&&ibasiccut;
364 >  if(Contains(filename,"mll_osof_aboveJZB")) cut=cutOSOF&&cutnJets&&ibasiccut;
365    if(filename=="mll_inclusive"||filename=="mll_inclusive_highrange") cut=cutOSSF;
366    if(filename=="mll_inclusive_osof") cut=cutOSOF;
367    if(filename=="mll_inclusive_ee") cut=cutOSSF&&"id1==0";
# Line 208 | Line 376 | void make_kin_plot(string variable, stri
376    THStack mcstack = allsamples.DrawStack("mcstack",variable,nbins,min,max, xlabel, "events",cut,mc,luminosity);
377    if(variable=="pfJetGoodPt[0]") datahisto->SetMaximum(10*datahisto->GetMaximum());
378    if(variable=="pt") datahisto->SetMaximum(10*datahisto->GetMaximum());
379 <  if(filename=="mll_inclusive") datahisto->SetMinimum(1);
379 >  if(filename=="mll_inclusive"||filename=="mll_inclusive_mm"||filename=="mll_inclusive_ee") datahisto->SetMinimum(1);
380    if(filename=="mll_osof") datahisto->SetMaximum(10*datahisto->GetMaximum());
381    if(filename=="mll_osof") datahisto->SetMinimum(9);
214
382    datahisto->SetMaximum(5.3*datahisto->GetMaximum());
383    datahisto->Draw("e1");
384    ckin->Update();
# Line 291 | Line 458 | void make_kin_plot(string variable, stri
458    delete ckin;
459   }
460  
294
461   void make_JES_plot() {
462  
463    int nbins=10;
# Line 343 | Line 509 | void do_kinematic_plots(string mcjzb, st
509    bool dolog=true;
510    bool nolog=false;
511    if(doPF) write_warning(__FUNCTION__,"Please use caution when trying to produce PF plots; not all versions of the JZB trees have these variables!");
512 <  float mll_low=40;
512 >  float mll_low=50;
513    float mll_hi=160;
514    if(!PlottingSetup::RestrictToMassPeak) {
515 <        mll_low=30;
516 <        mll_hi=180;
515 >        mll_low=20;
516 >        mll_hi=210;
517    }
518 +  
519 +  make_kin_plot("met[4]","",40,0,200,dolog,"MET [GeV]","met",doPF,true);
520    make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll",doPF,true);
521    make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_osof",doPF,true,true);
522    make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_ee",doPF,true);
# Line 356 | Line 524 | void do_kinematic_plots(string mcjzb, st
524    make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive",doPF,true);
525    make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_ee",doPF,true);
526    make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_mm",doPF,true);
527 <  make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_osof",doPF,true);
527 >  make_kin_plot("mll","",(int)((mll_hi-mll_low))/2,mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_osof",doPF,true);
528    make_kin_plot("mll","",(int)((350-mll_low)),mll_low,350,dolog,"m_{ll} [GeV]","mll_inclusive_highrange",doPF);
529 <  make_kin_plot("jetpt[0]","",40,0,200,dolog,"leading jet p_{T} [GeV]","pfJetGoodPt_0",doPF);
530 <  make_kin_plot("jeteta[0]","",40,-5,5,nolog,"leading jet #eta","pfJetGoodEta_0",doPF);
529 >  make_kin_plot("numVtx","",(int)(30.5-(-0.5)),-0.5,30.5,nolog,"N(Vtx)","numVtx",doPF);
530 > //  make_kin_plot("jetpt[0]","",40,0,200,dolog,"leading jet p_{T} [GeV]","pfJetGoodPt_0",doPF);
531 > //  make_kin_plot("jeteta[0]","",40,-5,5,nolog,"leading jet #eta","pfJetGoodEta_0",doPF);
532    make_kin_plot("pt","",50,0,400,dolog,"Z p_{T} [GeV]","Zpt",doPF);
533    make_kin_plot("pt1","",50,0,100,nolog,"p_{T} [GeV]","pt1",doPF);
534    make_kin_plot("pt2","",50,0,100,nolog,"p_{T} [GeV]","pt2",doPF);
535    make_kin_plot("eta1","",40,-5,5,nolog,"#eta_{l}","eta",doPF);
536    make_kin_plot("jzb[1]","",100,-150,150,dolog,"JZB [GeV]","jzb_ossf",doPF);
537 <  make_kin_plot("pfJetGoodNum","",8,0.5,8.5,dolog,"nJets","nJets",doPF);
538 <  make_kin_plot("pfJetGoodNum","",8,0.5,8.5,dolog,"nJets","nJets_nocuts_except_mll_ossf",doPF);
537 >  make_kin_plot("pfJetGoodNum40","",9,-0.5,8.5,dolog,"nJets","nJets",doPF);
538 >  make_kin_plot("pfJetGoodNum40","",9,-0.5,8.5,dolog,"nJets","nJets_osof",doPF);
539 >  make_kin_plot("pfJetGoodNum40","",9,-0.5,8.5,dolog,"nJets","nJets_nocuts_except_mll_ossf",doPF);
540    if(!doPF) make_special_mll_plot((int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]");
541    stringstream jzbcut;
542    jzbcut << "((is_data&&("<<datajzb<<")>100)||(!is_data&&("<<mcjzb<<")>100))";
543    make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB100",doPF,true);
544 +  make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_osof_aboveJZB100",doPF,true);
545 +  make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB100",doPF,true);
546 +  make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_osof_aboveJZB100",doPF,true);
547 +  stringstream jzbcut2;
548 +  jzbcut2 << "((is_data&&("<<datajzb<<")>150)||(!is_data&&("<<mcjzb<<")>150))";
549 +  make_kin_plot("mll",jzbcut2.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB150",doPF,true);
550 +  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);
551 +  stringstream jzbcut3;
552 +  jzbcut3 << "((is_data&&("<<datajzb<<")>50)||(!is_data&&("<<mcjzb<<")>50))";
553 +  make_kin_plot("mll",jzbcut3.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB50",doPF,true);  
554 +  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);
555 +  
556 +  make_special_obs_pred_mll_plot(mcjzb,0);
557 +  make_special_obs_pred_mll_plot(mcjzb,50);
558 +  make_special_obs_pred_mll_plot(mcjzb,100);
559 +  make_special_obs_pred_mll_plot(mcjzb,150);
560 +  make_special_obs_pred_mll_plot(mcjzb,200);
561 +  make_special_obs_pred_mll_plot(mcjzb,250);
562   }
563  
564   void make_comp_plot( string var, string xlabel, string filename, float jzbcut, string mcjzb, string datajzb,
# Line 442 | Line 630 | void region_comparison_plots(string mcjz
630      
631    
632      flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- the arguments changed
633 <  for(int ijzb=0;ijzb<jzb_cuts.size();ijzb++) {
633 >  for(int ijzb=0;ijzb<(int)jzb_cuts.size();ijzb++) {
634      float jzbcut=jzb_cuts[ijzb]; // Comparison plots are done for this JZB cut
635      float mll_low=50;float mll_high=170;
636      if(!PlottingSetup::RestrictToMassPeak) {
# Line 479 | Line 667 | void signal_bg_comparison()
667    
668    float simulatedlumi=luminosity;//in pb please - adjust to your likings
669    
670 <  TH1F *JZBplotZJETs = allsamples.Draw("JZBplotZJETs",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("DYJetsToLL"));
671 <  TH1F *JZBplotLM4 = allsamples.Draw("JZBplotLM4",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("LM4"));
670 >  TH1F *JZBplotZJETs = allsamples.Draw("JZBplotZJETs",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("/DY"));
671 >  TH1F *JZBplotLM4;
672 >  if(PlottingSetup::RestrictToMassPeak) JZBplotLM4 = allsamples.Draw("JZBplotLM4",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("LM4"));
673 >  else JZBplotLM4 = allsamples.Draw("JZBplotLM4",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("LM3"));
674    TH1F *JZBplotTtbar = allsamples.Draw("JZBplotTtbar",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("TTJets"));
675    
676    JZBplotTtbar->SetLineColor(allsamples.GetColor("TTJet"));
# Line 504 | Line 694 | void signal_bg_comparison()
694    TLegend *signal_bg_comparison_leg2 =  make_legend("",0.55,0.75,false);
695    signal_bg_comparison_leg2->AddEntry(JZBplotZJETs,"Z+Jets","f");
696    signal_bg_comparison_leg2->AddEntry(JZBplotTtbar,"t#bar{t}","f");
697 <  signal_bg_comparison_leg2->AddEntry(JZBplotLM4,"LM4","f");
697 >  if(PlottingSetup::RestrictToMassPeak) signal_bg_comparison_leg2->AddEntry(JZBplotLM4,"LM4","f");
698 >  else signal_bg_comparison_leg2->AddEntry(JZBplotLM4,"LM3","f");
699    signal_bg_comparison_leg2->Draw();
700    DrawMCPrelim(simulatedlumi);
701    CompleteSave(can,"jzb_bg_vs_signal_distribution");
# Line 746 | Line 937 | if you want to start from scratch (witho
937    return return_functions;
938   }
939  
940 < void do_prediction_plot(string jzb, TCanvas *globalcanvas, float sigma, float high, int use_data, bool overlay_signal = false )
940 > void do_prediction_plot(string jzb, TCanvas *globalcanvas, float high, int use_data, bool overlay_signal = false,string subdir="" )
941   {
942 +  switch_overunderflow(true);
943    bool is_data=false;
944    bool use_signal=false;
945    if(use_data==1) is_data=true;
# Line 756 | Line 948 | void do_prediction_plot(string jzb, TCan
948    if(is_data) nbins=50;
949    float low=0;
950    float hi=500;
951 +  
952    TH1F *blankback = new TH1F("blankback","blankback",int(high/10),0,high);
953    TH1F *RcorrJZBeemm   = allsamples.Draw("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
954    TH1F *LcorrJZBeemm   = allsamples.Draw("LcorrJZBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
955    TH1F *RcorrJZBem     = allsamples.Draw("RcorrJZBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
956    TH1F *LcorrJZBem     = allsamples.Draw("LcorrJZBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
957 +
958    blankback->GetXaxis()->SetTitle(RcorrJZBeemm->GetXaxis()->GetTitle());
959    blankback->GetYaxis()->SetTitle(RcorrJZBeemm->GetYaxis()->GetTitle());
960    blankback->GetXaxis()->CenterTitle();
# Line 775 | Line 969 | void do_prediction_plot(string jzb, TCan
969    TH1F *RcorrJZBeemmNoS;
970  
971      //these are for the ratio
972 +  
973    TH1F *JRcorrJZBeemm   = allsamples.Draw("JRcorrJZBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
974    TH1F *JLcorrJZBeemm   = allsamples.Draw("JLcorrJZBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
975    TH1F *JRcorrJZBem     = allsamples.Draw("JRcorrJZBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
# Line 793 | Line 988 | void do_prediction_plot(string jzb, TCan
988      LcorrJZBSBem   = allsamples.Draw("LcorrJZBSBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
989      RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
990      LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
991 <
991 >    
992      //these are for the ratio
993      JRcorrJZBSBem   = allsamples.Draw("JRcorrJZBSBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
994      JLcorrJZBSBem   = allsamples.Draw("JLcorrJZBSBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
995      JRcorrJZBSBeemm = allsamples.Draw("JRcorrJZBSBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
996      JLcorrJZBSBeemm = allsamples.Draw("JLcorrJZBSBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
802
997    }
998    
999    TH1F *lm4RcorrJZBeemm;
1000 <  if(overlay_signal || use_data == 2 ) lm4RcorrJZBeemm = allsamples.Draw("lm4RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,allsamples.FindSample("LM4"));
1000 >  if(overlay_signal || use_data == 2 || use_data == 1) lm4RcorrJZBeemm = allsamples.Draw("lm4RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,allsamples.FindSample("LM"));
1001    
1002    flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- prediction changed.
1003    
# Line 812 | Line 1006 | void do_prediction_plot(string jzb, TCan
1006      
1007    TH1F *Bpred = (TH1F*)LcorrJZBeemm->Clone("Bpred");
1008    TH1F *JBpred = (TH1F*)JLcorrJZBeemm->Clone("Bpred");
1009 +    
1010 +  TH1F *BpredSys = new TH1F("Bpredsys","Bpredsys",PlottingSetup::global_ratio_binning.size()-1,&PlottingSetup::global_ratio_binning[0]);
1011 +  ClearHisto(BpredSys);
1012 +    
1013    if(PlottingSetup::RestrictToMassPeak) {
1014      Bpred->Add(RcorrJZBem,1.0/3.);
1015      Bpred->Add(LcorrJZBem,-1.0/3.);
# Line 834 | Line 1032 | void do_prediction_plot(string jzb, TCan
1032      JBpred->Add(JLcorrJZBSBem,-1.0/3.);
1033      JBpred->Add(JRcorrJZBSBeemm,1.0/3.);
1034      JBpred->Add(JLcorrJZBSBeemm,-1.0/3.);
1035 +      
1036 +    //Systematics:
1037 +    AddSquared(BpredSys,JLcorrJZBeemm,zjetsestimateuncertONPEAK*zjetsestimateuncertONPEAK);
1038 +    AddSquared(BpredSys,JRcorrJZBem,emuncertONPEAK*emuncertONPEAK*(1.0/9));
1039 +    AddSquared(BpredSys,JLcorrJZBem,emuncertONPEAK*emuncertONPEAK*(1.0/9));
1040 +    AddSquared(BpredSys,JRcorrJZBSBem,emsidebanduncertONPEAK*emsidebanduncertONPEAK*(1.0/9));
1041 +    AddSquared(BpredSys,JLcorrJZBSBem,emsidebanduncertONPEAK*emsidebanduncertONPEAK*(1.0/9));
1042 +    AddSquared(BpredSys,JRcorrJZBSBeemm,eemmsidebanduncertONPEAK*eemmsidebanduncertONPEAK*(1.0/9));
1043 +    AddSquared(BpredSys,JLcorrJZBSBeemm,eemmsidebanduncertONPEAK*eemmsidebanduncertONPEAK*(1.0/9));
1044    } else {
1045      Bpred->Add(RcorrJZBem,1.0);
1046      Bpred->Add(LcorrJZBem,-1.0);
# Line 843 | Line 1050 | void do_prediction_plot(string jzb, TCan
1050      //these are for the ratio
1051      JBpred->Add(JRcorrJZBem,1.0);
1052      JBpred->Add(JLcorrJZBem,-1.0);
1053 +      
1054 +    //Systematics
1055 +    AddSquared(BpredSys,JLcorrJZBeemm,zjetsestimateuncertOFFPEAK*zjetsestimateuncertOFFPEAK);
1056 +    AddSquared(BpredSys,JRcorrJZBem,emuncertOFFPEAK*emuncertOFFPEAK);
1057 +    AddSquared(BpredSys,JLcorrJZBem,emuncertOFFPEAK*emuncertOFFPEAK);
1058 +
1059    }
1060      
1061 <  
1061 >  SQRT(BpredSys);
1062 >  BpredSys->Divide(JBpred);
1063 >
1064    
1065    flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- prediction changed
1066    TH1F *Tpred = (TH1F*)RcorrJZBem->Clone("Bpred");
# Line 890 | Line 1105 | void do_prediction_plot(string jzb, TCan
1105    blankback->Draw();
1106    if(use_data==1)
1107    {
1108 +    //Bpred->SetLineWidth(3); //paper style.overruled.
1109 +    //lm4RcorrJZBeemm->SetLineWidth(3); //paper style.overruled.
1110      analytical_function = do_extended_fit_to_plot(Bpred,Tpred,LcorrJZBeemm,LcorrJZBem,is_data);
1111      kinpad->cd();//necessary because the extended fit function creates its own canvas
1112      RcorrJZBeemm->Draw("e1x0,same");
1113  
1114      Bpred->Draw("hist,same");
1115 <    analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1115 >    //analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1116      RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1117 +    lm4RcorrJZBeemm->Draw("hist,same");
1118      legBpred->AddEntry(RcorrJZBeemm,"observed","p");
1119      legBpred->AddEntry(Bpred,"predicted","l");
1120 <    legBpred->AddEntry(analytical_function[1],"predicted fit","l");
1121 <    legBpred->AddEntry(analytical_function[2],"stat. uncert.","l");
1122 <    if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1120 > //    legBpred->AddEntry(analytical_function[1],"predicted fit","l");
1121 > //    legBpred->AddEntry(analytical_function[2],"stat. uncert.","l");
1122 >    legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1123      legBpred->Draw();
1124      DrawPrelim();
1125  
1126      //this plot shows what the prediction is composed of
1127 <    TCanvas *specialcanv = new TCanvas("specialcanv","specialcanv");
1128 <    specialcanv->SetLogy(1);
1129 <    Zjetspred->SetFillColor(kYellow);
1130 <    Zjetspred->SetLineColor(kYellow);
1131 <    TTbarpred->SetFillColor(allsamples.GetColor((allsamples.FindSample("TTJets"))[0]));
1132 <    TTbarpred->SetLineColor(allsamples.GetColor((allsamples.FindSample("TTJets"))[0]));
1127 >    TPad *predcomppad = new TPad("predcomppad","predcomppad",0,0,1,1);
1128 >    float CurrentBpredLineWidth=Bpred->GetLineWidth();
1129 >    Bpred->SetLineWidth(2);
1130 >    predcomppad->cd();
1131 >    predcomppad->SetLogy(1);
1132 >    
1133 >    TH1F *jzbnegative = (TH1F*)LcorrJZBeemm->Clone("jzbnegative");
1134 >    TH1F *sidebandsemu = (TH1F*)Bpred->Clone("sidebandsemu");
1135 >    sidebandsemu->Add(jzbnegative,-1);
1136 >    
1137 >    jzbnegative->SetFillColor(allsamples.GetColor((allsamples.FindSample("DY"))[0]));
1138 >    jzbnegative->SetLineColor(allsamples.GetColor((allsamples.FindSample("DY"))[0]));
1139 >    sidebandsemu->SetLineColor(allsamples.GetColor((allsamples.FindSample("TTJets"))[0]));
1140 >    sidebandsemu->SetFillColor(allsamples.GetColor((allsamples.FindSample("TTJets"))[0]));
1141 >    
1142      THStack predcomposition("predcomposition","prediction composition");
1143 <    predcomposition.Add(TTbarpred);
1144 <    predcomposition.Add(Zjetspred);
1143 >    predcomposition.Add(sidebandsemu);
1144 >    predcomposition.Add(jzbnegative);
1145      blankback->Draw();
1146      RcorrJZBeemm->Draw("e1x0,same");
1147      predcomposition.Draw("histo,same");//
1148      Bpred->Draw("hist,same");
1149 <    analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1149 > //    analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1150      RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1151 <    legBpred->Draw();
1151 > //    lm4RcorrJZBeemm->SetLineColor(kOrange+1);
1152 >    lm4RcorrJZBeemm->SetLineWidth(2);
1153 >    //lm4RcorrJZBeemm->SetLineWidth(2); // paper style. overruled.
1154 >    lm4RcorrJZBeemm->Draw("histo,same");
1155      DrawPrelim();
1156 <    TLegend *specialleg = new TLegend(0.6,0.4,0.89,0.55);
1157 <    specialleg->SetFillColor(kWhite);specialleg->SetLineColor(kWhite);
1158 <    specialleg->AddEntry(Zjetspred,"Z+Jets prediction","f");
1159 <    specialleg->AddEntry(TTbarpred,"t#bar{t} prediction","f");
1160 <    specialleg->Draw("same");
1161 <    CompleteSave(specialcanv,"Bpred_Data_____PredictionComposition");
1162 <
1163 <    THStack kostack = allsamples.DrawStack("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,!is_data, luminosity,use_signal);
1156 >    TLegend *speciallegBpred = make_legend("",0.45,0.55);
1157 >    //TLegend *speciallegBpred = make_legend("",0.35,0.55); // paper style. overruled.
1158 >    speciallegBpred->AddEntry(RcorrJZBeemm,"Data","pl");
1159 >    speciallegBpred->AddEntry(Bpred,"Total background","l");
1160 >    speciallegBpred->AddEntry(jzbnegative,"JZB<0 (data)","f");
1161 >    if(PlottingSetup::RestrictToMassPeak) speciallegBpred->AddEntry(sidebandsemu,"Sidebands/e#mu (data)","f");
1162 >    else speciallegBpred->AddEntry(sidebandsemu,"e#mu (data)","f");
1163 > //    speciallegBpred->AddEntry(lm4RcorrJZBeemmC,"LM4","l");
1164 >    speciallegBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1165 >    speciallegBpred->Draw();
1166 >    save_with_ratio(JRcorrJZBeemm,JBpred,predcomppad,subdir+"Bpred_Data_____PredictionComposition",true,true,"data/pred",BpredSys);
1167 >    
1168 >    TCanvas *specialcanv = new TCanvas("specialcanv","specialcanv");
1169 >    specialcanv->SetLogy(1);
1170 > //    THStack kostack = allsamples.DrawStack("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,!is_data, luminosity,use_signal);
1171      blankback->Draw();
1172 <    kostack.Draw("same");
1172 > //    kostack.Draw("same");
1173 >    predcomposition.Draw();
1174      Bpred->Draw("hist,same");
1175 <    analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1175 >    //analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1176      RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1177      legBpred->Draw();
1178      DrawPrelim();
1179 <    CompleteSave(specialcanv,"Bpred_Data_____PredictionCompositioninMC");
1179 >    CompleteSave(specialcanv,subdir+"Bpred_Data_____PredictionCompositioninMC");
1180 >    Bpred->SetLineWidth((int)CurrentBpredLineWidth);
1181      
1182 <    delete specialcanv;
944 <    delete specialleg;
1182 >    delete speciallegBpred;
1183      delete Zjetspred;
1184      delete TTbarpred;
1185      
# Line 949 | Line 1187 | void do_prediction_plot(string jzb, TCan
1187    }
1188    if(use_data==0) {
1189      RcorrJZBeemm->Draw("e1x0,same");
1190 +    //Bpred->SetLineWidth(3); // paper style. overruled.
1191      Bpred->Draw("hist,same");
1192      RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1193 <    legBpred->AddEntry(RcorrJZBeemm,"MC observed","p");
1194 <    legBpred->AddEntry(Bpred,"MC predicted","l");
1193 >    legBpred->AddEntry(RcorrJZBeemm,"MC true","p");
1194 >    legBpred->AddEntry(Bpred,"MC predicted","l");    
1195      if(versok) legBpred->AddEntry((TObject*)0,"",""); // Just for alignment // causes seg fault on root v5.18
1196      if(versok) legBpred->AddEntry((TObject*)0,"",""); // causes seg fault on root v5.18
1197      if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
# Line 963 | Line 1202 | void do_prediction_plot(string jzb, TCan
1202    }
1203    if(use_data==2) {
1204      RcorrJZBeemm->Draw("e1x0,same");
1205 +    //Bpred->SetLineWidth(3); // paper style. overruled.
1206      Bpred->Draw("hist,same");
1207      RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1208 <    legBpred->AddEntry(RcorrJZBeemm,"MC observed","p");
1208 >    legBpred->AddEntry(RcorrJZBeemm,"MC true","p");
1209      legBpred->AddEntry(Bpred,"MC predicted","l");
1210 <    legBpred2->AddEntry(RcorrJZBeemm,"MC observed","p");
1210 >    legBpred2->AddEntry(RcorrJZBeemm,"MC true","p");
1211      legBpred2->AddEntry(Bpred,"MC predicted","l");
1212      {
1213        if(versok) legBpred->AddEntry((TObject*)0,"",""); // Just for alignment // causes seg fault on root v5.18 --> now only allowed for root >=v5.30
# Line 978 | Line 1218 | void do_prediction_plot(string jzb, TCan
1218   //      CompleteSave(globalcanvas,"Bpred_MCwithS"); // done below in save_with_ratio
1219      }
1220      {
1221 +      //lm4RcorrJZBeemm->SetLineWidth(3); //paper style. overruled.
1222 +      //RcorrJZBeemmNoS->SetLineWidth(3); //paper style. overruled.
1223 +      //lm4RcorrJZBeemm->SetLineStyle(2); //paper style. overruled.
1224 +      //RcorrJZBeemmNoS->SetLineStyle(3); //paper style. overruled.
1225 +      //lm4RcorrJZBeemm->SetLineColor(kOrange+1); //paper style. overruled.
1226 +      
1227        RcorrJZBeemmNoS->SetLineStyle(2);
1228        legBpred2->AddEntry(RcorrJZBeemmNoS,"MC B","l");
1229        legBpred2->AddEntry(lm4RcorrJZBeemm,"MC S","l");
# Line 996 | Line 1242 | void do_prediction_plot(string jzb, TCan
1242    //3rd last argument: do special bpred ratio, 2nd last argument: extended range!, last: y-axis title
1243    string ytitle("ratio");
1244    if ( use_data==1 ) ytitle = "data/pred";
1245 <  save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,Bpredsaveas,true,use_data!=1,ytitle);
1245 >  //save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,Bpredsaveas,true,use_data!=1,ytitle);
1246 >  save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,subdir+Bpredsaveas,true,true,ytitle,BpredSys);//not extending the y range anymore up to 4
1247  
1248    
1249    flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1250 <  /// The part below is meaningless for the offpeak analysis (it's a comparison of the different estimates but there is but one estimate!)
1251 <  if(!PlottingSetup::RestrictToMassPeak) return;
1252 <  TH1F *Bpredem = (TH1F*)LcorrJZBeemm->Clone("Bpredem");
1253 <  Bpredem->Add(RcorrJZBem);
1254 <  Bpredem->Add(LcorrJZBem,-1);
1255 <  TH1F *BpredSBem = (TH1F*)LcorrJZBeemm->Clone("BpredSBem");
1256 <  BpredSBem->Add(RcorrJZBSBem);
1257 <  Bpred->Add(LcorrJZBSBem,-1);
1258 <  TH1F *BpredSBeemm = (TH1F*)LcorrJZBeemm->Clone("BpredSBeemm");  
1259 <  BpredSBeemm->Add(RcorrJZBSBeemm);
1260 <  BpredSBeemm->Add(LcorrJZBSBeemm,-1.0);
1261 <  globalcanvas->cd();
1262 <  globalcanvas->SetLogy(1);
1263 <
1264 <  RcorrJZBeemm->SetMarkerStyle(20);
1265 <  RcorrJZBeemm->GetXaxis()->SetRangeUser(0,high);
1266 <  blankback->Draw();
1267 <  RcorrJZBeemm->Draw("e1x0,same");
1268 <  RcorrJZBeemm->SetMarkerSize(DataMarkerSize);
1269 <  
1270 <  Bpredem->SetLineColor(kRed+1);
1271 <  Bpredem->SetStats(0);
1272 <  Bpredem->Draw("hist,same");
1273 <
1274 <  BpredSBem->SetLineColor(kGreen+2);//TColor::GetColor("#0B6138"));
1275 <  BpredSBem->SetLineStyle(2);
1276 <  BpredSBem->Draw("hist,same");
1277 <
1278 <  BpredSBeemm->SetLineColor(kBlue+1);
1279 <  BpredSBeemm->SetLineStyle(3);
1280 <  BpredSBeemm->Draw("hist,same");
1281 <  RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1282 <
1283 <  TLegend *legBpredc = make_legend("",0.6,0.55);
1284 <  if(use_data==1)
1285 <  {
1286 <    legBpredc->AddEntry(RcorrJZBeemm,"observed","p");
1287 <    legBpredc->AddEntry(Bpredem,"OFZP","l");
1288 <    legBpredc->AddEntry(BpredSBem,"OFSB","l");
1289 <    legBpredc->AddEntry(BpredSBeemm,"SFSB","l");
1290 <    legBpredc->Draw();
1291 <    CompleteSave(globalcanvas,"Bpred_Data_comparison");
1292 <  }
1293 <  if(use_data==0) {
1294 <    legBpredc->AddEntry(RcorrJZBeemm,"MC observed","p");
1295 <    legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1296 <    legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1297 <    legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1298 <    legBpredc->Draw();
1299 <    CompleteSave(globalcanvas,"Bpred_MC_comparison");
1300 <  }
1301 <  if(use_data==2) {
1302 <    legBpredc->AddEntry(RcorrJZBeemm,"MC observed","p");
1303 <    legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1304 <    legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1305 <    legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1306 <    if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1307 <    legBpredc->Draw();
1308 <    CompleteSave(globalcanvas,"Bpred_MCwithS_comparison");
1250 >  // The part below is meaningless for the offpeak analysis (it's a comparison of the different estimates but there is but one estimate!)
1251 >  if(PlottingSetup::RestrictToMassPeak) {
1252 >    TH1F *Bpredem = (TH1F*)LcorrJZBeemm->Clone("Bpredem");
1253 >    Bpredem->Add(RcorrJZBem);
1254 >    Bpredem->Add(LcorrJZBem,-1);
1255 >    TH1F *BpredSBem = (TH1F*)LcorrJZBeemm->Clone("BpredSBem");
1256 >    BpredSBem->Add(RcorrJZBSBem);
1257 >    Bpred->Add(LcorrJZBSBem,-1);
1258 >    TH1F *BpredSBeemm = (TH1F*)LcorrJZBeemm->Clone("BpredSBeemm");  
1259 >    BpredSBeemm->Add(RcorrJZBSBeemm);
1260 >    BpredSBeemm->Add(LcorrJZBSBeemm,-1.0);
1261 >    globalcanvas->cd();
1262 >    globalcanvas->SetLogy(1);
1263 >    
1264 >    RcorrJZBeemm->SetMarkerStyle(20);
1265 >    RcorrJZBeemm->GetXaxis()->SetRangeUser(0,high);
1266 >    blankback->Draw();
1267 >    RcorrJZBeemm->Draw("e1x0,same");
1268 >    RcorrJZBeemm->SetMarkerSize(DataMarkerSize);
1269 >    
1270 >    Bpredem->SetLineColor(kRed+1);
1271 >    Bpredem->SetStats(0);
1272 >    Bpredem->Draw("hist,same");
1273 >    
1274 >    BpredSBem->SetLineColor(kGreen+2);//TColor::GetColor("#0B6138"));
1275 >    BpredSBem->SetLineStyle(2);
1276 >    BpredSBem->Draw("hist,same");
1277 >    
1278 >    BpredSBeemm->SetLineColor(kBlue+1);
1279 >    BpredSBeemm->SetLineStyle(3);
1280 >    BpredSBeemm->Draw("hist,same");
1281 >    RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1282 >    
1283 >    TLegend *legBpredc = make_legend("",0.6,0.55);
1284 >    if(use_data==1)
1285 >    {
1286 >      legBpredc->AddEntry(RcorrJZBeemm,"observed","p");
1287 >      legBpredc->AddEntry(Bpredem,"OFZP","l");
1288 >      legBpredc->AddEntry(BpredSBem,"OFSB","l");
1289 >      legBpredc->AddEntry(BpredSBeemm,"SFSB","l");
1290 >      legBpredc->Draw();
1291 >      CompleteSave(globalcanvas,subdir+"Bpred_Data_comparison");
1292 >    }
1293 >    if(use_data==0) {
1294 >      legBpredc->AddEntry(RcorrJZBeemm,"MC true","p");
1295 >      legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1296 >      legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1297 >      legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1298 >      legBpredc->Draw();
1299 >      CompleteSave(globalcanvas,subdir+"Bpred_MC_comparison");
1300 >    }
1301 >    if(use_data==2) {
1302 >      legBpredc->AddEntry(RcorrJZBeemm,"MC true","p");
1303 >      legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1304 >      legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1305 >      legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1306 >      if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1307 >      legBpredc->Draw();
1308 >      CompleteSave(globalcanvas,subdir+"Bpred_MCwithS_comparison");
1309 >    }
1310    }
1311 +  
1312 +  TFile *f = new TFile("tester.root","RECREATE");
1313 +  RcorrJZBeemm->Write();
1314 +  Bpred->Write();
1315 +  f->Close();
1316 +  
1317    delete RcorrJZBeemm;
1318    delete LcorrJZBeemm;
1319    delete RcorrJZBem;
# Line 1072 | Line 1326 | void do_prediction_plot(string jzb, TCan
1326  
1327    delete blankback;
1328    
1329 +  delete BpredSys;
1330    if(PlottingSetup::RestrictToMassPeak) {
1331      delete RcorrJZBSBem;
1332      delete LcorrJZBSBem;
# Line 1084 | Line 1339 | void do_prediction_plot(string jzb, TCan
1339      delete JLcorrJZBSBeemm;
1340    }
1341    if(overlay_signal || use_data==2) delete lm4RcorrJZBeemm;
1342 +  switch_overunderflow(false);
1343   }
1344  
1345   void do_prediction_plots(string mcjzb, string datajzb, float DataSigma, float MCSigma, bool overlay_signal ) {
1346    TCanvas *globalcanvas = new TCanvas("globalcanvas","Prediction Canvas");
1347 <  do_prediction_plot(datajzb,globalcanvas,DataSigma,jzbHigh ,data,overlay_signal);
1348 <  do_prediction_plot(mcjzb,globalcanvas,MCSigma,jzbHigh ,mc,overlay_signal);
1349 <  do_prediction_plot(mcjzb,globalcanvas,MCSigma,jzbHigh ,mcwithsignal,overlay_signal);
1347 >  do_prediction_plot(datajzb,globalcanvas,jzbHigh ,data,overlay_signal);
1348 >  if ( !PlottingSetup::Approved ) {
1349 >    do_prediction_plot(mcjzb,globalcanvas,jzbHigh ,mc,overlay_signal);
1350 >    do_prediction_plot(mcjzb,globalcanvas,jzbHigh ,mcwithsignal,overlay_signal);
1351 >  } else {
1352 >    write_info(__FUNCTION__,"You set approved to true, therefore not producing prediction/observation plots for MC with and without signal.");
1353 >  }
1354   }
1355  
1356   void do_ratio_plot(int is_data,vector<float> binning, string jzb, TCanvas *can, float high=-9999) {
# Line 1258 | Line 1518 | void lepton_comparison_plots() {
1518    Float_t ymin = 1.e-5, ymax = 0.25;
1519    TCanvas *can = new TCanvas("can","Lepton Comparison Canvas");
1520    can->SetLogy(1);
1521 <  TH1F *eemc = allsamples.Draw("eemc","mll",50,50,150, "mll [GeV]", "events", cutOSSF&&cutnJets&&"(id1==0)",mc, luminosity,allsamples.FindSample("DYJetsToLL"));
1522 <  TH1F *mmmc = allsamples.Draw("mmmc","mll",50,50,150, "mll [GeV]", "events", cutOSSF&&cutnJets&&"(id1==1)",mc, luminosity,allsamples.FindSample("DYJetsToLL"));
1521 >  TH1F *eemc = allsamples.Draw("eemc","mll",50,50,150, "mll [GeV]", "events", cutOSSF&&cutnJets&&"(id1==0)",mc, luminosity,allsamples.FindSample("/DY"));
1522 >  TH1F *mmmc = allsamples.Draw("mmmc","mll",50,50,150, "mll [GeV]", "events", cutOSSF&&cutnJets&&"(id1==1)",mc, luminosity,allsamples.FindSample("/DY"));
1523    eemc->SetLineColor(kBlue);
1524    mmmc->SetLineColor(kRed);
1525    eemc->SetMinimum(0.1);
# Line 1324 | Line 1584 | void lepton_comparison_plots() {
1584    DrawPrelim();
1585    save_with_ratio(jeed,jmmd,eemmpad->cd(),"lepton_comparison/jzb_Comparing_ee_mm_data");
1586    
1587 <  TH1F *zjeed = allsamples.Draw("zjeed",jzbvariablemc,    int((jzbHigh+150)/5),-150,jzbHigh , "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&"(id1==0)",mc,  luminosity,allsamples.FindSample("DYJets"));
1588 <  TH1F *zjmmd = allsamples.Draw("zjmmd",jzbvariablemc,    int((jzbHigh+150)/5),-150,jzbHigh , "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&"(id1==1)",mc,  luminosity,allsamples.FindSample("DYJets"));
1589 <  TH1F *zjeemmd = allsamples.Draw("zjeemmd",jzbvariablemc,int((jzbHigh+150)/5),-150,jzbHigh , "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,            mc,  luminosity,allsamples.FindSample("DYJets"));
1587 >  TH1F *zjeed = allsamples.Draw("zjeed",jzbvariablemc,    int((jzbHigh+150)/5),-150,jzbHigh , "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&"(id1==0)",mc,  luminosity,allsamples.FindSample("/DY"));
1588 >  TH1F *zjmmd = allsamples.Draw("zjmmd",jzbvariablemc,    int((jzbHigh+150)/5),-150,jzbHigh , "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&"(id1==1)",mc,  luminosity,allsamples.FindSample("/DY"));
1589 >  TH1F *zjeemmd = allsamples.Draw("zjeemmd",jzbvariablemc,int((jzbHigh+150)/5),-150,jzbHigh , "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,            mc,  luminosity,allsamples.FindSample("/DY"));
1590    dout << "Z+Jets ee : " << zjeed->GetMean() << "+/-" << zjeed->GetMeanError() << endl;
1591    dout << "Z+Jets ee : " << zjmmd->GetMean() << "+/-" << zjmmd->GetMeanError() << endl;
1592    dout << "Z+Jets eemd : " << zjeemmd->GetMean() << "+/-" << zjeemmd->GetMeanError() << endl;
# Line 1440 | Line 1700 | void draw_pure_jzb_histo(TCut cut,string
1700    TText *writeline1 = write_cut_on_canvas(write_cut.c_str());
1701    writeline1->SetTextSize(0.035);
1702    writeline1->Draw();
1703 <  save_with_ratio(datahisto,mcstack,jzbpad->cd(),("jzb/"+savename));
1703 >  if(!Contains(savename,"Dibosons")) save_with_ratio(datahisto,mcstack,jzbpad->cd(),("jzb/"+savename));
1704 >  else save_with_ratio(datahisto,mcstack,jzbpad->cd(),savename);
1705    TPad *jzbpad2 = new TPad("jzbpad2","jzbpad2",0,0,1,1);
1706    jzbpad2->cd();
1707    jzbpad2->SetLogy(1);
# Line 1455 | Line 1716 | void draw_pure_jzb_histo(TCut cut,string
1716    writeline1->SetTextSize(0.035);
1717    writeline1->Draw();
1718    DrawPrelim();
1719 <  save_with_ratio(datahisto,mcstack,jzbpad2->cd(),("jzb/PositiveSideOnly/"+savename+""));
1719 >  if(!Contains(savename,"Dibosons")) save_with_ratio(datahisto,mcstack,jzbpad2->cd(),("jzb/PositiveSideOnly/"+savename+""));
1720 >  else save_with_ratio(datahisto,mcstack,jzbpad2->cd(),(savename+"__PosOnly"));
1721    datahisto->Delete();
1722    mcstack.Delete();
1723   }
# Line 1463 | Line 1725 | void draw_pure_jzb_histo(TCut cut,string
1725   Double_t GausR(Double_t *x, Double_t *par) {
1726    return gRandom->Gaus(x[0],par[0]);
1727   }
1728 +
1729 + void produce_stretched_jzb_plots(string mcjzb, string datajzb,vector<float> ratio_binning) {
1730 +  TCanvas *dican = new TCanvas("dican","JZB Plots Canvas");
1731 +  float max=jzbHigh ;
1732 +  float min=-120;
1733 +  int nbins=(int)((max-min)/5.0); // we want 5 GeV/bin
1734 +  int coarserbins=int(nbins/2.0);
1735 +  int rebinnedbins=int(nbins/4.0);
1736 +  
1737 +  vector<float>binning;vector<float>coarse_binning;vector<float>coarsest_binning;
1738 +  for(int i=0;i<=nbins;i++)binning.push_back(min+i*(max-min)/((float)nbins));
1739 +  for(int i=0;i<=coarserbins;i++)coarse_binning.push_back(min+i*(max-min)/((float)coarserbins));
1740 +  for(int i=0;i<=rebinnedbins;i++)coarsest_binning.push_back(min+i*(max-min)/((float)rebinnedbins));
1741 +
1742 +  draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_SFZP",dican,binning);
1743 +  draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_OFZP",dican,binning);
1744 +  draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"Dibosons/ee/jzb_OS_SFZP",dican,binning);
1745 +  draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"Dibosons/mm/jzb_OS_SFZP",dican,binning);
1746 +  draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"Dibosons/ee/jzb_OS_OFZP",dican,binning);
1747 +  draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"Dibosons/mm/jzb_OS_OFZP",dican,binning);
1748 +  if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_SFSB",dican,binning);
1749 +  if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_OFSB",dican,binning);
1750 +  
1751 +  draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_SFZP_coarse",dican,coarse_binning);
1752 +  draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_OFZP_coarse",dican,coarse_binning);
1753 +  if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_SFSB_coarse",dican,coarse_binning);
1754 +  if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_OFSB_coarse",dican,coarse_binning);
1755 +  
1756 +  delete dican;
1757 + }
1758    
1759 +
1760 + void diboson_plots(string mcjzb, string datajzb,vector<float> ratio_binning) {
1761 +  vector<int> SamplesToBeModified = allsamples.FindSampleBySampleName("WW/WZ/ZZ");
1762 +  
1763 +  if(SamplesToBeModified.size()==0 || SamplesToBeModified[0]==-1) {
1764 +    write_error(__FUNCTION__,"Could not find any diboson samples - aborting diboson plots");
1765 +    return;
1766 +  }
1767 +  
1768 +  float stretchfactor = 100.0;
1769 +  vector<string> labels;
1770 +  
1771 +  
1772 +  dout << "Going to increase the cross section for diboson samples ... " << endl;
1773 +  for(int i=0;i<(int)SamplesToBeModified.size();i++) {
1774 +    float origxs=(allsamples.collection)[SamplesToBeModified[i]].xs;
1775 +    (allsamples.collection)[SamplesToBeModified[i]].xs=origxs*stretchfactor;
1776 +    dout << "     Increased xs for sample " << (allsamples.collection)[SamplesToBeModified[i]].filename << " from " << origxs << " to " << (allsamples.collection)[SamplesToBeModified[i]].xs << " (by a factor of " << stretchfactor << ")" << endl;
1777 +    labels.push_back((allsamples.collection)[SamplesToBeModified[i]].samplename);
1778 +    (allsamples.collection)[SamplesToBeModified[i]].samplename=any2string(int(stretchfactor))+" x "+(allsamples.collection)[SamplesToBeModified[i]].samplename;
1779 +    dout << "         (also renamed it to " << (allsamples.collection)[SamplesToBeModified[i]].samplename << " )" << endl;
1780 +  }
1781 +  
1782 +  dout << "Going to produce JZB plots" << endl;
1783 +  produce_stretched_jzb_plots(mcjzb,datajzb,ratio_binning);
1784 +  TCanvas *gloca = new TCanvas("gloca","gloca");
1785 +  
1786 +  dout << "Going to produce prediction plots" << endl;
1787 +  do_prediction_plot(mcjzb, gloca, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do only MC plots, no signal
1788 +  do_prediction_plot(mcjzb, gloca, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do MC plots with signal
1789 +  delete gloca;
1790 +
1791 +  dout << "Going to reset the cross section for diboson samples ... " << endl;
1792 +  for(int i=0;i<(int)SamplesToBeModified.size();i++) {
1793 +    float Upxs=(allsamples.collection)[SamplesToBeModified[i]].xs;
1794 +    (allsamples.collection)[SamplesToBeModified[i]].xs=(allsamples.collection)[SamplesToBeModified[i]].xs*(1.0/stretchfactor);
1795 +    string Upname=(allsamples.collection)[SamplesToBeModified[i]].samplename;
1796 +    (allsamples.collection)[SamplesToBeModified[i]].samplename=labels[i];
1797 +    dout << "     Reset xs for sample " << (allsamples.collection)[SamplesToBeModified[i]].samplename << " from " << Upxs << " to " << (allsamples.collection)[SamplesToBeModified[i]].xs << " (by a factor of " << stretchfactor << ") and reset the correct name (from " << Upname << ")" << endl;
1798 +    
1799 +  }
1800 +  
1801 + }
1802   void jzb_plots(string mcjzb, string datajzb,vector<float> ratio_binning) {
1803    TCanvas *can = new TCanvas("can","JZB Plots Canvas");
1804    float max=jzbHigh ;
# Line 1477 | Line 1812 | void jzb_plots(string mcjzb, string data
1812    for(int i=0;i<=coarserbins;i++)coarse_binning.push_back(min+i*(max-min)/((float)coarserbins));
1813    for(int i=0;i<=rebinnedbins;i++)coarsest_binning.push_back(min+i*(max-min)/((float)rebinnedbins));
1814  
1815 <  draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP",can,binning);
1816 <  draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP",can,binning);
1817 <  draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_SFZP",can,binning);
1818 <  draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_SFZP",can,binning);
1819 <  draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_OFZP",can,binning);
1820 <  draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_OFZP",can,binning);
1821 <  flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1822 <  if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB",can,binning);
1823 <  if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB",can,binning);
1815 >  if ( !PlottingSetup::Approved ) {
1816 >    draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP",can,binning);
1817 >    draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP",can,binning);
1818 >    draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_SFZP",can,binning);
1819 >    draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_SFZP",can,binning);
1820 >    draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_OFZP",can,binning);
1821 >    draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_OFZP",can,binning);
1822 >    flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1823 >    if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB",can,binning);
1824 >    if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB",can,binning);
1825 >  }
1826    
1827    draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP_coarse",can,coarse_binning);
1828 <  draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP_coarse",can,coarse_binning);
1829 <  flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1830 <  if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB_coarse",can,coarse_binning);
1831 <  if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB_coarse",can,coarse_binning);
1832 <
1833 < //  draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP_coarsest",can,coarsest_binning);
1834 < //  draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP_coarsest",can,coarsest_binning);
1498 < //  flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1499 < //  if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB_coarsest",can,coarsest_binning);
1500 < //  if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB_coarsest",can,coarsest_binning);
1828 >  if ( !PlottingSetup::Approved ) {
1829 >    draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP_coarse",can,coarse_binning);
1830 >    flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1831 >    if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB_coarse",can,coarse_binning);
1832 >    if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB_coarse",can,coarse_binning);
1833 >  }
1834 >  delete can;
1835   }
1836  
1837  
# Line 1552 | Line 1886 | void compute_MC_yields(string mcjzb,vect
1886    string posneg[] = {"pos","neg"};
1887    TCut tkRegions[] = {cutOSSF&&cutnJets&&cutmass,cutOSOF&&cutnJets&&cutmass,cutOSSF&&cutnJets&&sidebandcut,cutOSOF&&cutnJets&&sidebandcut};
1888  
1889 <  for(int ijzb=0;ijzb<jzb_cuts.size();ijzb++) {
1889 >  for(int ijzb=0;ijzb<(int)jzb_cuts.size();ijzb++) {
1890      TCut jzbMC[]  = { give_jzb_expression(mcjzb,jzb_cuts[ijzb],"pos"), give_jzb_expression(mcjzb,jzb_cuts[ijzb],"neg") };
1891      dout << "_________________________________________________________" << endl;
1892      dout << "Table for JZB> " << jzb_cuts[ijzb] << endl;
1893 <    for(int isample=0;isample<(allsamples.collection).size();isample++) {
1893 >    for(int isample=0;isample<(int)(allsamples.collection).size();isample++) {
1894        if(!(allsamples.collection)[isample].is_data) dout << (allsamples.collection)[isample].samplename << "  &  ";
1895        else dout << "Sample & ";
1896        for(int iregion=0;iregion<nRegions;iregion++) {
# Line 1815 | Line 2149 | void draw_ttbar_and_zjets_shape_for_one_
2149  
2150   void draw_ttbar_and_zjets_shape(string mcjzb, string datajzb) {
2151    int all_leptons=-1;
1818  int electrons_only=0;
1819  int mu_only=1;
1820  int twojetswith50gev=1;
2152    int threejetswith30gev=0;
2153   /*  
2154 +  int twojetswith50gev=1;
2155 +  int electrons_only=0;
2156 +  int mu_only=1;
2157 +
2158    draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,all_leptons,twojetswith50gev);
2159    draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,all_leptons,threejetswith30gev);
2160    
# Line 1833 | Line 2168 | void draw_ttbar_and_zjets_shape(string m
2168    draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,all_leptons,threejetswith30gev,true);
2169   }
2170  
2171 < void find_correction_factors(string &jzbvardata,string &jzbvarmc) {
1837 <  //first: colorful plots
2171 > float find_one_correction_factor(string FindKeyword, TCut SpecialCut, string SaveAs) {
2172    TCanvas *cancorr = new TCanvas("cancorr","Canvas for Response Correction");
2173    cancorr->SetLogz();
2174    cancorr->SetRightMargin(0.13);
2175 <  flag_this_change(__FUNCTION__,__LINE__,false);//PlottingSetup::RestrictToMassPeak
2176 <  TCut zptforresponsepresentation("pt<600"&&cutmass&&cutOSSF&&"((sumJetPt[1]/pt)<5.0)");
2175 >  TCut zptforresponsepresentation("pt<600"&&cutmass&&cutOSSF&&"((sumJetPt[1]/pt)<5.0)"&&SpecialCut&&passtrig);
2176 >  if(PlottingSetup::DoBTag) zptforresponsepresentation=zptforresponsepresentation&&PlottingSetup::bTagRequirement;
2177    TH2F *niceresponseplotd = new TH2F("niceresponseplotd","",100,0,600,100,0,5);
2178 <  (allsamples.collection)[allsamples.FindSample("Data")[0]].events->Draw("sumJetPt[1]/pt:pt>>niceresponseplotd",zptforresponsepresentation);
2178 >  vector<int> SampleIndices=allsamples.FindSample(FindKeyword);
2179 >  for(int iSample=0;iSample<SampleIndices.size();iSample++) {
2180 >    dout << "   Response correction : Using sample " << (allsamples.collection)[SampleIndices[iSample]].filename << " for " << FindKeyword << endl;
2181 >    (allsamples.collection)[SampleIndices[iSample]].events->Draw("sumJetPt[1]/pt:pt>>+niceresponseplotd",zptforresponsepresentation*cutWeight);
2182 >  }
2183 >    
2184    niceresponseplotd->SetStats(0);
2185    niceresponseplotd->GetXaxis()->SetTitle("Z p_{T} [GeV]");
2186    niceresponseplotd->GetYaxis()->SetTitle("Response");
# Line 1850 | Line 2189 | void find_correction_factors(string &jzb
2189    niceresponseplotd->Draw("COLZ");
2190    TProfile * profd = (TProfile*)niceresponseplotd->ProfileX();
2191    profd->SetMarkerSize(DataMarkerSize);
2192 <  profd->Fit("pol0","","same,e1",30,400);
2192 >  profd->Fit("pol0","","same,e1",100,400);
2193    DrawPrelim();
2194 <  TText* title = write_text(0.5,0.7,"Data");
2194 >  string stitle="Data";
2195 >  if(!Contains(FindKeyword,"Data")) stitle="MC";
2196 >  TText* title = write_text(0.5,0.7,stitle.c_str());
2197    title->SetTextAlign(12);
2198    title->Draw();
2199    TF1 *datapol=(TF1*)profd->GetFunction("pol0");
2200 <  float datacorrection=datapol->GetParameter(0);
2201 <  stringstream dataresstring;
2202 <  dataresstring<<"Response: "<<std::setprecision(2)<<100*datacorrection<<" %";
2203 <  TText* restitle = write_text(0.5,0.65,dataresstring.str());
2200 >  float correction=datapol->GetParameter(0);
2201 >  stringstream resstring;
2202 >  resstring<<"Response: "<<std::setprecision(2)<<100*correction<<" %";
2203 >  TText* restitle = write_text(0.5,0.65,resstring.str());
2204    restitle->SetTextAlign(12);
2205    restitle->SetTextSize(0.03);
2206    restitle->Draw();
2207 <  CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_Data");
2208 <  
2209 <  TH2F *niceresponseplotm = new TH2F("niceresponseplotm","",100,0,600,100,0,5);
2210 <  (allsamples.collection)[allsamples.FindSample("DY")[0]].events->Draw("sumJetPt[1]/pt:pt>>niceresponseplotm",zptforresponsepresentation);
2211 <  niceresponseplotm->SetStats(0);
2212 <  niceresponseplotm->GetXaxis()->SetTitle("Z p_{T} [GeV]");
2213 <  niceresponseplotm->GetYaxis()->SetTitle("Response");
1873 <  niceresponseplotm->GetXaxis()->CenterTitle();
1874 <  niceresponseplotm->GetYaxis()->CenterTitle();
1875 <  niceresponseplotm->Draw("COLZ");
1876 <  (allsamples.collection)[allsamples.FindSample("DY")[0]].events->Draw("sumJetPt[1]/pt:pt",zptforresponsepresentation,"PROF,same");
1877 <  TProfile * profm = (TProfile*)niceresponseplotm->ProfileX();
1878 <  profm->SetMarkerSize(DataMarkerSize);
1879 <  profm->Fit("pol0","","same,e1",30,400);
1880 <  DrawMCPrelim();
1881 <  title = write_text(0.5,0.7,"MC simulation");
1882 <  title->SetTextAlign(12);
1883 <  title->Draw();
1884 <  TF1 *mcpol=(TF1*)profm->GetFunction("pol0");
1885 <  float mccorrection=mcpol->GetParameter(0);
1886 <  stringstream mcresstring;
1887 <  mcresstring<<"Response: "<<std::setprecision(2)<<100*mccorrection<<" %";
1888 <  TText* mcrestitle = write_text(0.5,0.65,mcresstring.str());
1889 <  mcrestitle->SetTextAlign(12);
1890 <  mcrestitle->SetTextSize(0.03);
1891 <  mcrestitle->Draw();
1892 <  CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_MC");
2207 >  CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_New_"+SaveAs);
2208 >  delete cancorr;
2209 >  delete niceresponseplotd;
2210 >  return correction;
2211 > }
2212 >
2213 > void find_correction_factors(string &jzbvardata,string &jzbvarmc) {
2214    
2215 +  dout << "Computing response corrections: " << endl;
2216 +  //Step 1 : Get results
2217 +  float datacorrection=find_one_correction_factor("Data","","Data");
2218 +  float mccorrection=find_one_correction_factor("DY","","MC");
2219 +  
2220 +  float dataEEcorrection=find_one_correction_factor("Data","id1==0","Data_ee");
2221 +  float mcEEcorrection=find_one_correction_factor("DY","id1==0","MC_ee");
2222 +  
2223 +  float dataMMcorrection=find_one_correction_factor("Data","id1==1","Data_mm");
2224 +  float mcMMcorrection=find_one_correction_factor("DY","id1==1","MC_mm");
2225 +  
2226 +  cout << "Corrections : " << endl;
2227 +  cout << "   Data : " << datacorrection << endl;
2228 +  cout << "     ee (" << dataEEcorrection << ") , mm (" << dataMMcorrection << ")" << endl;
2229 +  cout << "   MC : " << mccorrection << endl;
2230 +  cout << "     ee (" << mcEEcorrection << ") , mm (" << mcMMcorrection << ")" << endl;
2231    
2232 <  //Step 2: Getting the result
1896 < //  TCut zptcutforresponse("pt>30&&pt<300&&TMath::Abs(91.2-mll)<20&&id1==id2&&(ch1*ch2<0)");
2232 >  //Step 2: Processing the result and making it into something useful :-)
2233    stringstream jzbvardatas;
2234 <  if(datacorrection>1) jzbvardatas<<"(jzb[1]-"<<datacorrection-1<<"*pt)";
2235 <  if(datacorrection<1) jzbvardatas<<"(jzb[1]+"<<1-datacorrection<<"*pt)";
2234 >  jzbvardatas << "(";
2235 >  
2236 >  if(dataEEcorrection>=1) jzbvardatas<<"((id1==0&&id1==id2)*(jzb[1]-" << dataEEcorrection-1 << "*pt))";
2237 >  if(dataEEcorrection<1)  jzbvardatas<<"((id1==0&&id1==id2)*(jzb[1]+" << 1-dataEEcorrection << "*pt))";
2238 >  
2239 >  if(dataMMcorrection>=1) jzbvardatas<<"+((id1==1&&id1==id2)*(jzb[1]-" << dataMMcorrection-1 << "*pt))";
2240 >  if(dataMMcorrection<1)  jzbvardatas<<"+((id1==1&&id1==id2)*(jzb[1]+" << 1-dataMMcorrection << "*pt))";
2241 >  
2242 >  float averagecorrection=(dataMMcorrection+dataEEcorrection)/2.0;
2243 >  
2244 >  if(datacorrection>=1) jzbvardatas<<"+((id1!=id2)*(jzb[1]-" << datacorrection-1 << "*pt))";
2245 >  if(datacorrection<1) jzbvardatas<<"+((id1!=id2)*(jzb[1]+" << 1-datacorrection << "*pt))";
2246 >  
2247 >  jzbvardatas << ")";
2248    jzbvardata=jzbvardatas.str();
2249 +  
2250    stringstream jzbvarmcs;
2251 <  if(mccorrection>1) jzbvarmcs<<"(jzb[1]-"<<mccorrection-1<<"*pt)";
2252 <  if(mccorrection<1) jzbvarmcs<<"(jzb[1]+"<<1-mccorrection<<"*pt)";
2251 >  jzbvarmcs << "(";
2252 >  
2253 >  if(mcEEcorrection>=1) jzbvarmcs<<"((id1==0&&id1==id2)*(jzb[1]-" << mcEEcorrection-1 << "*pt))";
2254 >  if(mcEEcorrection<1)  jzbvarmcs<<"((id1==0&&id1==id2)*(jzb[1]+" << 1-mcEEcorrection << "*pt))";
2255 >  
2256 >  if(mcMMcorrection>=1) jzbvarmcs<<"+((id1==1&&id1==id2)*(jzb[1]-" << mcMMcorrection-1 << "*pt))";
2257 >  if(mcMMcorrection<1)  jzbvarmcs<<"+((id1==1&&id1==id2)*(jzb[1]+" << 1-mcMMcorrection << "*pt))";
2258 >  
2259 >  float averagemccorrection=(mcMMcorrection+mcEEcorrection)/2.0;
2260 >  
2261 >  if(mccorrection>=1) jzbvarmcs<<"+((id1!=id2)*(jzb[1]-" << mccorrection-1 << "*pt))";
2262 >  if(mccorrection<1) jzbvarmcs<<"+((id1!=id2)*(jzb[1]+" << 1-mccorrection << "*pt))";
2263 >  
2264 >  jzbvarmcs << ")";
2265    jzbvarmc=jzbvarmcs.str();
2266 +
2267    dout << "JZB Z pt correction summary : " << endl;
2268    dout << "  Data: The response is " << datacorrection << "  --> jzb variable is now : " << jzbvardata << endl;
2269    dout << "  MC  : The response is " << mccorrection << "  --> jzb variable is now : " << jzbvarmc << endl;
2270 +  
2271   }
2272  
2273   void pick_up_events(string cut) {
# Line 1912 | Line 2275 | void pick_up_events(string cut) {
2275    allsamples.PickUpEvents(cut);
2276   }
2277  
2278 < void save_template(string mcjzb, string datajzb,vector<float> jzb_cuts,float MCPeakError) {
2278 > void save_template(string mcjzb, string datajzb,vector<float> jzb_cuts,float MCPeakError,float DataPeakError, vector<float> jzb_shape_limit_bins) {
2279    dout << "Saving configuration template!" << endl;
2280    ofstream configfile;
2281    configfile.open("../DistributedModelCalculations/last_configuration.C");
# Line 1932 | Line 2295 | void save_template(string mcjzb, string
2295    configfile<<"string datajzb=\"datajzb_ERROR\";\n";
2296    configfile<<"string mcjzb=\"mcjzb_ERROR\";\n";
2297    configfile<<"vector<float>jzb_cuts;\n";
2298 +  configfile<<"vector<float>jzb_shape_limit_bins;\n";
2299    configfile<<"float MCPeakError=-999;\n";
2300 +  configfile<<"float DataPeakError=-999;\n";
2301    configfile<<"}\n\n";
2302  
2303    configfile<<"void read_config() {\n";
2304    configfile<<"datajzb=\""<<datajzb<<"\";\n";
2305    configfile<<"mcjzb=\""<<mcjzb<<"\";\n\n";
2306 <  configfile<<"\n\nMCPeakError="<<MCPeakError<<";\n\n";
2307 <  for(int i=0;i<jzb_cuts.size();i++) configfile<<"jzb_cuts.push_back("<<jzb_cuts[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2306 >  configfile<<"\n\nMCPeakError="<<MCPeakError<<";\n";
2307 >  configfile<<"DataPeakError="<<DataPeakError<<";\n\n";
2308 >  for(int i=0;i<(int)jzb_cuts.size();i++) configfile<<"jzb_cuts.push_back("<<jzb_cuts[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2309    configfile<<"\n\n";
2310 <  for(int i=0;i<Nobs.size();i++) configfile<<"Nobs.push_back("<<Nobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2311 <  for(int i=0;i<Npred.size();i++) configfile<<"Npred.push_back("<<Npred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2312 <  for(int i=0;i<Nprederr.size();i++) configfile<<"Nprederr.push_back("<<Nprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2310 >  for(int i=0;i<(int)Nobs.size();i++) configfile<<"Nobs.push_back("<<Nobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2311 >  for(int i=0;i<(int)Npred.size();i++) configfile<<"Npred.push_back("<<Npred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2312 >  for(int i=0;i<(int)Nprederr.size();i++) configfile<<"Nprederr.push_back("<<Nprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2313 >  configfile<<"\n\n";
2314 >  for(int i=0;i<(int)flippedNobs.size();i++) configfile<<"flippedNobs.push_back("<<flippedNobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2315 >  for(int i=0;i<(int)flippedNpred.size();i++) configfile<<"flippedNpred.push_back("<<flippedNpred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2316 >  for(int i=0;i<(int)flippedNprederr.size();i++) configfile<<"flippedNprederr.push_back("<<flippedNprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2317 >  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";
2318    configfile<<"\n\n";
1948  for(int i=0;i<flippedNobs.size();i++) configfile<<"flippedNobs.push_back("<<flippedNobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
1949  for(int i=0;i<flippedNpred.size();i++) configfile<<"flippedNpred.push_back("<<flippedNpred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
1950  for(int i=0;i<flippedNprederr.size();i++) configfile<<"flippedNprederr.push_back("<<flippedNprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2319    configfile<<"\n\n";
2320    configfile<<"luminosity="<<luminosity<<";\n";
2321 +  configfile<<"RestrictToMassPeak="<<RestrictToMassPeak<<";//defines the type of analysis we're running\n";
2322    
2323    configfile<<"\n\ncout << \"Configuration successfully loaded!\" << endl; \n \n } \n \n";
2324    
# Line 1972 | Line 2341 | void draw_all_ttbar_histos(TCanvas *can,
2341    float max=histos[0]->GetMaximum();
2342    if(manualmin>=0) min=manualmin;
2343    else {
2344 <    for(int i=1;i<histos.size();i++) {
2344 >    for(int i=1;i<(int)histos.size();i++) {
2345        float curmin=get_nonzero_minimum(histos[i]);
2346        float curmax=histos[i]->GetMaximum();
2347        if(curmin<min) min=curmin;
# Line 1983 | Line 2352 | void draw_all_ttbar_histos(TCanvas *can,
2352    histos[0]->Draw(drawoption.c_str());
2353    stringstream drawopt;
2354    drawopt << drawoption << ",same";
2355 <  for(int i=1;i<histos.size();i++) {
2355 >  for(int i=1;i<(int)histos.size();i++) {
2356      histos[i]->Draw(drawopt.str().c_str());
2357    }
2358   }
# Line 1992 | Line 2361 | void ttbar_sidebands_comparison(string m
2361    //in the case of the on peak analysis, we compare the 3 control regions to the real value
2362    //in the case of the OFF peak analysis, we compare our control region to the real value
2363    TCut weightbackup=cutWeight;
2364 <  cutWeight="1.0";
2364 > //  cutWeight="1.0";
2365    float simulatedlumi = luminosity; //in pb please - adjust to your likings
2366 <  
2366 >  for(int i=0;i<binning.size();i++) cout << "Bin i : " << binning[i] << endl;
2367  
2368    TH1F *TZem = systsamples.Draw("TZem",mcjzb,binning,"JZB [GeV]","events",cutmass&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2369    TH1F *nTZem = systsamples.Draw("nTZem","-"+mcjzb,binning,"JZB [GeV]","events",cutmass&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
# Line 2032 | Line 2401 | void ttbar_sidebands_comparison(string m
2401    }
2402    
2403    vector<TH1F*> histos;
2404 +  TZem->GetXaxis()->SetRangeUser(-100,binning[binning.size()-1]);
2405 +  TZeemm->GetXaxis()->SetRangeUser(-100,binning[binning.size()-1]);
2406    histos.push_back(TZem);
2407    histos.push_back(TZeemm);
2408    if(PlottingSetup::RestrictToMassPeak) {
2409 +    TSeemm->GetXaxis()->SetRangeUser(-100,binning[binning.size()-1]);
2410 +    TSem->GetXaxis()->SetRangeUser(-100,binning[binning.size()-1]);
2411      histos.push_back(TSem);
2412      histos.push_back(TSeemm);
2413    }
# Line 2050 | Line 2423 | void ttbar_sidebands_comparison(string m
2423    leg->Draw("same");
2424    DrawMCPrelim(simulatedlumi);
2425    CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_shape_comparison");
2053  
2426    TH1F *TZemcopy = (TH1F*)TZem->Clone("TZemcopy");
2427    TH1F *TZeemmcopy = (TH1F*)TZeemm->Clone("TZeemmcopy");
2428 <  TH1F *TSeemmcopy = (TH1F*)TSeemm->Clone("TSeemmcopy");
2429 <  TH1F *TSemcopy = (TH1F*)TSem->Clone("TSemcopy");
2428 >  TH1F *TSeemmcopy;
2429 >  TH1F *TSemcopy;
2430 >  if(PlottingSetup::RestrictToMassPeak) {
2431 >    TSeemmcopy = (TH1F*)TSeemm->Clone("TSeemmcopy");
2432 >    TSemcopy = (TH1F*)TSem->Clone("TSemcopy");
2433 >  }
2434  
2435    TZem->Divide(TZeemm);
2436    TZem->SetMarkerStyle(21);
# Line 2076 | Line 2452 | void ttbar_sidebands_comparison(string m
2452    
2453    float linepos=0.25;
2454    if(PlottingSetup::RestrictToMassPeak) linepos=0.25;
2455 +  if(!PlottingSetup::RestrictToMassPeak) linepos=0.1; //sys uncertainty for iJZB
2456    TLine *top = new TLine(binning[0],1.0+linepos,binning[binning.size()-1],1.0+linepos);
2457    TLine *center = new TLine(binning[0],1.0,binning[binning.size()-1],1.0);
2458    TLine *bottom = new TLine(binning[0],1.0-linepos,binning[binning.size()-1],1.0-linepos);
2459    
2460 +  /*write_warning(__FUNCTION__,"These two lines are to be removed!");
2461 +  TLine *topalt = new TLine(binning[0],1.0+0.1,binning[binning.size()-1],1.0+0.1);
2462 +  TLine *bottomalt = new TLine(binning[0],1.0-0.1,binning[binning.size()-1],1.0-0.1);
2463 +  topalt->SetLineColor(kRed);topalt->SetLineStyle(3);
2464 +  bottomalt->SetLineColor(kRed);bottomalt->SetLineStyle(3);
2465 +  topalt->Draw("same");bottomalt->Draw("same");*/
2466 +  
2467 +  
2468    top->SetLineColor(kBlue);top->SetLineStyle(2);
2469    bottom->SetLineColor(kBlue);bottom->SetLineStyle(2);
2470    center->SetLineColor(kBlue);
# Line 2104 | Line 2489 | void ttbar_sidebands_comparison(string m
2489    CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_shape_comparison_ratio");
2490    
2491  
2107
2492   ///-------------- second part: only look at the quantity we actually care about!
2493    TH1F *leftsfzp  = (TH1F*)nTZeemm->Clone("leftsfzp");
2494    TH1F *rightsfzp = (TH1F*)TZeemmcopy->Clone("rightsfzp");
# Line 2150 | Line 2534 | void ttbar_sidebands_comparison(string m
2534    tcan->SetLogy(0);
2535    rightofzp->Divide(rightsfzp);
2536    rightofzp->GetXaxis()->SetRangeUser(0.0,binning[binning.size()-1]);
2537 <  rightofzp->GetYaxis()->SetRangeUser(0.0,2.0);
2537 >  rightofzp->GetYaxis()->SetRangeUser(0.0,2.5);
2538    rightofzp->GetYaxis()->SetTitle("#deltaJZB ratio");
2539    rightofzp->Draw();
2540    if(PlottingSetup::RestrictToMassPeak) {
# Line 2210 | Line 2594 | void ttbar_sidebands_comparison(string m
2594  
2595   void ttbar_sidebands_comparison(string mcjzb, vector<float> jzb_binning) {
2596    vector<float> nicer_binning;
2597 <  nicer_binning.push_back(-125);
2597 >  /*
2598 >  nicer_binning.push_back(-400);
2599 >  nicer_binning.push_back(-250);
2600 >  nicer_binning.push_back(-200);
2601 >  nicer_binning.push_back(-150);
2602 >  nicer_binning.push_back(-100);
2603 >  nicer_binning.push_back(-50);
2604 >  nicer_binning.push_back(-20);
2605 >  
2606 >  nicer_binning.push_back(0);
2607 >  nicer_binning.push_back(20);
2608 >  nicer_binning.push_back(50);
2609 >  nicer_binning.push_back(100);
2610 >  nicer_binning.push_back(150);
2611 >  nicer_binning.push_back(200);
2612 >  nicer_binning.push_back(250);
2613 >  nicer_binning.push_back(400);
2614 >  */
2615    nicer_binning.push_back(-100);
2215  nicer_binning.push_back(-75);
2616    nicer_binning.push_back(-50);
2617    nicer_binning.push_back(-25);
2618    nicer_binning.push_back(0);
# Line 2227 | Line 2627 | void ttbar_sidebands_comparison(string m
2627    nicer_binning.push_back(230);
2628    nicer_binning.push_back(280);
2629    nicer_binning.push_back(400);
2630 +  
2631    ttbar_sidebands_comparison(mcjzb,nicer_binning, "ttbar/");
2632   }
2633  
2634  
2635 < void zjets_prediction_comparison() {
2635 > void zjets_prediction_comparison(string mcjzbWithPU) {
2636 >  TCanvas *zcan = new TCanvas("zcan","zcan");  
2637 >  zcan->SetLogy(1);
2638 >  TCut weightbackup=cutWeight;
2639 >
2640 > /*
2641    // Do it without PU re-weighting
2642    float MCPeakNoPU=0,MCPeakErrorNoPU=0,DataPeakNoPU=0,DataPeakErrorNoPU=0,MCSigma=0,DataSigma=0;
2643    stringstream resultsNoPU;
2644  
2645    stringstream mcjzbnoPU;
2646 <  find_peaks(MCPeakNoPU,MCPeakErrorNoPU, DataPeakNoPU, DataPeakErrorNoPU,MCSigma,DataSigma,resultsNoPU,false);
2646 >  find_peaks(MCPeakNoPU,MCPeakErrorNoPU, DataPeakNoPU, DataPeakErrorNoPU,MCSigma,DataSigma,resultsNoPU,true);
2647    if(MCPeakNoPU>0) mcjzbnoPU<<"("<<jzbvariablemc<<"-"<<TMath::Abs(MCPeakNoPU)<<")";
2648    else mcjzbnoPU<<"("<<jzbvariablemc<<"+"<<TMath::Abs(MCPeakNoPU)<<")";
2649  
2650    string mcjzb = mcjzbnoPU.str();
2651    dout << "The peak corrected JZB expression for MC without pileup is : " <<  mcjzb << endl;
2652  
2247  TCut weightbackup=cutWeight;
2653    cutWeight="1.0";
2654 <  float sbg_min=0.;
2655 <  float sbg_max=100.;
2656 <  int sbg_nbins=5;
2654 > */
2655 >  string mcjzb = mcjzbWithPU; // this is with PURW, if you want without it you have to uncomment the part above (and comment out this line)
2656 >  
2657 >  vector<float> binning;
2658 >  binning.push_back(0);
2659 >  binning.push_back(20);
2660 >  binning.push_back(40);
2661 >  binning.push_back(60);
2662 >  binning.push_back(80);
2663 >  binning.push_back(100);
2664 > //  float sbg_min=0.;
2665 > //  float sbg_max=100.;
2666 > //  int sbg_nbins=5;
2667    float simulatedlumi = luminosity;//in pb please - adjust to your likings
2668    
2669    TCut kPos((mcjzb+">0").c_str());
2670    TCut kNeg((mcjzb+"<0").c_str());
2671    string var( "abs("+mcjzb+")" );
2672  
2673 <  TCut kcut(cutmass&&cutOSSF&&"pfJetGoodNum>2");
2674 <  TH1F *hJZBpos = systsamples.Draw("hJZBpos",var,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",
2675 <                                  kcut&&kPos,mc,simulatedlumi,systsamples.FindSample("DYJets"));
2261 <  TH1F *hJZBneg = systsamples.Draw("hJZBneg",var,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",
2262 <                                  kcut&&kNeg,mc,simulatedlumi,systsamples.FindSample("DYJets"));
2673 >  TCut kcut(cutmass&&cutOSSF&&cutnJets);
2674 >  TH1F *hJZBpos = systsamples.Draw("hJZBpos",var,binning, "JZB [GeV]", "events",kcut&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
2675 >  TH1F *hJZBneg = systsamples.Draw("hJZBneg",var,binning, "JZB [GeV]", "events",kcut&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
2676    hJZBpos->SetLineColor(kBlack);
2677    hJZBneg->SetLineColor(kRed);
2678    
2679 <  Int_t nbins = 5;
2267 <  Float_t xmax = 100.;
2268 <
2269 <  
2270 <  TCanvas *zcan = new TCanvas("zcan","zcan");  
2271 <  zcan->SetLogy(1);
2272 <
2679 >  hJZBpos->SetMinimum(1.0);
2680    hJZBpos->Draw("e1");
2681    hJZBneg->Draw("same,hist");
2682    hJZBpos->Draw("same,e1"); // So it's on top...
# Line 2284 | Line 2691 | void zjets_prediction_comparison() {
2691    TH1F* hratio = (TH1F*)hJZBpos->Clone("hratio");
2692    hratio->Divide(hJZBneg);
2693    
2694 +  for(int i=1;i<=hJZBpos->GetNbinsX();i++) {
2695 +    cout << "Positive: " << hJZBpos->GetBinContent(i) << "   vs    Negative : " << hJZBneg->GetBinContent(i) << endl;
2696 +  }
2697 +  
2698    zcan->SetLogy(0);
2699    hratio->GetYaxis()->SetRangeUser(0,2.5);
2700    hratio->GetYaxis()->SetTitle("Observed/Predicted");
2701    hratio->Draw("e1");
2702    
2703 <  TLine *top = new TLine(sbg_min,1.25,sbg_max,1.25);
2704 <  TLine *center = new TLine(sbg_min,1.0,sbg_max,1.0);
2705 <  TLine *bottom = new TLine(sbg_min,0.75,sbg_max,0.75);
2703 >  TLine *top = new TLine(binning[0],1.25,binning[binning.size()-1],1.25);
2704 >  TLine *center = new TLine(binning[0],1.0,binning[binning.size()-1],1.0);
2705 >  TLine *bottom = new TLine(binning[0],0.75,binning[binning.size()-1],0.75);
2706    
2707  
2708    top->SetLineColor(kBlue);top->SetLineStyle(2);
# Line 2333 | Line 2744 | void sideband_assessment(string datajzb,
2744    tout << "\\begin{tabular}{l|cc}" << endl;
2745    tout << "\\hline" << endl;
2746    tout << "& {\\OFZP} & {\\OFSB} \\\\\\hline" << endl;
2747 <  tout << "\\#(events) & "<<OFSB<<" & "<<OFZP<<"\\\\ \\hline" << endl;
2747 >  tout << "\\#(events) & "<<OFZP<<" & "<<OFSB<<"\\\\ \\hline" << endl;
2748    tout << "\\end{tabular}" << endl;
2749    tout << "\\end{center}" << endl;
2750    tout << "\\end{table}" << endl;
# Line 2351 | Line 2762 | void make_table(samplecollection &coll,
2762    
2763    TCanvas *cannie = new TCanvas("cannie","cannie");
2764    
2765 <  for(int icut=0;icut<jzb_cuts.size();icut++) {
2765 >  for(int icut=0;icut<(int)jzb_cuts.size();icut++) {
2766      float currcut=jzb_cuts[icut];
2767      int nbins=1;float low=currcut;
2768      vector<int> mysample;
# Line 2410 | Line 2821 | void make_table(samplecollection &coll,
2821    //prediction part
2822    if(is_data) cout << "Data prediction & ";
2823    if(subselection!="none") cout << subselection << " prediction &";
2824 <  for(int ij=0;ij<jzb_cuts.size();ij++) cout << jzbcutprediction[ij] << " vs " << metcutprediction[ij] << " & ";
2824 >  for(int ij=0;ij<(int)jzb_cuts.size();ij++) cout << jzbcutprediction[ij] << " vs " << metcutprediction[ij] << " & ";
2825    
2826    cout << endl;
2827    //observation part
2828    if(is_data) cout << "Data observation & ";
2829    if(subselection!="none") cout << subselection << " observation &";
2830 <  for(int ij=0;ij<jzb_cuts.size();ij++) cout << jzbcutobservation[ij] << " vs " << metcutobservation[ij] << " & ";
2830 >  for(int ij=0;ij<(int)jzb_cuts.size();ij++) cout << jzbcutobservation[ij] << " vs " << metcutobservation[ij] << " & ";
2831    cout << endl;
2832    cout << "_________________________________________________________________" << endl;
2833    delete cannie;
# Line 2451 | Line 2862 | void JZBSelEff(string mcjzb, TTree* even
2862    int nbins = sizeof(xbins)/sizeof(float)-1;
2863    int markers[] = { 20, 26, 21, 24, 22, 25, 28 };
2864  
2865 <  TH1F* heff  = new TH1F("heff", "JZB eff ; generator-level JZB [GeV]; efficiency",nbins,xbins);
2866 <  TH1F* hgen  = new TH1F("hgen", "JZB gen ; generator-level JZB [GeV]; efficiency",nbins,xbins);
2867 <  TH1F* hreco = new TH1F("hreco","JZB reco ; generator-level JZB [GeV]; efficiency",nbins,xbins);
2865 >  
2866 >  TH1F* heff  = new TH1F("heff", "JZB eff ; generator JZB [GeV]; efficiency",nbins,xbins);
2867 >  TH1F* hgen  = new TH1F("hgen", "JZB gen ; generator JZB [GeV]; efficiency",nbins,xbins);
2868 >  TH1F* hreco = new TH1F("hreco","JZB reco ; generator JZB [GeV]; efficiency",nbins,xbins);
2869  
2870    TCut kgen(genMassCut&&"genZPt>0&&genNjets>2&&abs(genMID)==23"&&cutOSSF);
2871    TCut kreco(cutmass);
# Line 2469 | Line 2881 | void JZBSelEff(string mcjzb, TTree* even
2881    TCanvas *can = new TCanvas("can","Canvas for JZB Efficiency",600,600);
2882    can->SetGridx(1);
2883    can->SetGridy(1);
2884 +  can->SetLeftMargin(0.16);
2885 +  can->SetRightMargin(0.05);
2886    TLegend *leg = make_legend("",0.6,0.2,false,0.89,0.5);
2887 +  leg->SetBorderSize(1);
2888 +  leg->SetLineColor(kBlack);
2889 +  leg->SetTextFont(62);
2890  
2891 <  
2475 <
2476 <  for ( int icut=0; icut<jzb_bins.size(); ++icut ) {
2891 >  for ( int icut=0; icut<(int)jzb_bins.size(); ++icut ) {
2892  
2893      ostringstream selection;
2894      selection << mcjzb << ">" << jzb_bins[icut];
# Line 2489 | Line 2904 | void JZBSelEff(string mcjzb, TTree* even
2904      }
2905    
2906      heff->GetXaxis()->SetRangeUser(min, max);
2907 + //    heff->GetXaxis()->SetLabelSize(0.05); // paper style. overruled.
2908 + //    heff->GetYaxis()->SetLabelSize(0.05); // paper style. overruled.
2909 + //    heff->GetXaxis()->SetTitleSize(0.06); // paper style. overruled.
2910 + //    heff->GetYaxis()->SetTitleSize(0.06); // paper style. overruled.
2911      heff->SetMarkerStyle(markers[icut]);
2912      heff->Fit("func","Q+","same");
2913  
# Line 2500 | Line 2919 | void JZBSelEff(string mcjzb, TTree* even
2919  
2920      // Store plot
2921      TH1F* h = (TH1F*)heff->Clone(hname);
2922 +    h->SetNdivisions(505,"X");
2923      if ( icut) h->Draw("same");
2924      else h->Draw();
2925      char htitle[256]; sprintf(htitle,"JZB > %3.0f GeV", jzb_bins[icut]);
# Line 2520 | Line 2940 | void JZBSelEff(string mcjzb, TTree* even
2940   // Calls the above function for each signal sample
2941   void plot_jzb_sel_eff(string mcjzb, samplecollection &signalsamples, vector<float> bins )
2942   {  
2943 <  for (int isignal=0; isignal<signalsamples.collection.size();isignal++) {
2943 >  for (int isignal=0; isignal<(int)signalsamples.collection.size();isignal++) {
2944      dout << "JZB selection efficiency curve: " << std::endl;
2945      JZBSelEff(mcjzb,(signalsamples.collection)[isignal].events,(signalsamples.collection)[isignal].samplename,bins); // Only for some selected samples
2946    }
2947   }
2948 +
2949 + void qcd_plots(string datajzb, string mcjzb, vector<float> bins) {
2950 +  // What this function aims to do:
2951 +  // Illustrate cut flow for QCD (requiring only one lepton, requiring etc.)
2952 +  // Illustrate how little QCD is left over! i.e. make some pointless JZB plot with only QCD to visualize the fact that there's not much really.
2953 +  TCanvas *can = new TCanvas("can","can");
2954 +  TPad *kinpad = new TPad("kinpad","kinpad",0,0,1,1);
2955 +  kinpad->cd();
2956 +  
2957 +  string jzb=mcjzb;
2958    
2959 +  float hi=400;
2960 +  bool use_signal=false;
2961 +  bool use_data=false;
2962 +  
2963 +  bool is_data=false;
2964 +  int nbins=50;//100;
2965 +  float low=0;
2966 +  float high=500;
2967 +  int versok=false;
2968 +  if(gROOT->GetVersionInt()>=53000) versok=true;
2969 +
2970 +  TH1F *blankback = new TH1F("blankback","blankback",int(high/10),0,high);
2971 +  TH1F *RcorrJZBeemm   = qcdsamples.Draw("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
2972 +  TH1F *LcorrJZBeemm   = qcdsamples.Draw("LcorrJZBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
2973 +  TH1F *RcorrJZBem     = qcdsamples.Draw("RcorrJZBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
2974 +  TH1F *LcorrJZBem     = qcdsamples.Draw("LcorrJZBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
2975 +  blankback->GetXaxis()->SetTitle(RcorrJZBeemm->GetXaxis()->GetTitle());
2976 +  blankback->GetYaxis()->SetTitle(RcorrJZBeemm->GetYaxis()->GetTitle());
2977 +  blankback->GetXaxis()->CenterTitle();
2978 +  blankback->GetYaxis()->CenterTitle();
2979 +  
2980 +  flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- prediction changed.
2981 +  TH1F *RcorrJZBSBem;
2982 +  TH1F *LcorrJZBSBem;
2983 +  TH1F *RcorrJZBSBeemm;
2984 +  TH1F *LcorrJZBSBeemm;
2985 +  
2986 + //  TH1F *RcorrJZBeemmNoS;
2987 +
2988 +    //these are for the ratio
2989 +  TH1F *JRcorrJZBeemm   = qcdsamples.Draw("JRcorrJZBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
2990 +  TH1F *JLcorrJZBeemm   = qcdsamples.Draw("JLcorrJZBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
2991 +  TH1F *JRcorrJZBem     = qcdsamples.Draw("JRcorrJZBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
2992 +  TH1F *JLcorrJZBem     = qcdsamples.Draw("JLcorrJZBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
2993 +  
2994 +  TH1F *JRcorrJZBSBem;
2995 +  TH1F *JLcorrJZBSBem;
2996 +  TH1F *JRcorrJZBSBeemm;
2997 +  TH1F *JLcorrJZBSBeemm;
2998 +  
2999 +  if(PlottingSetup::RestrictToMassPeak) {
3000 +    RcorrJZBSBem   = qcdsamples.Draw("RcorrJZBSBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
3001 +    LcorrJZBSBem   = qcdsamples.Draw("LcorrJZBSBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
3002 +    RcorrJZBSBeemm = qcdsamples.Draw("RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
3003 +    LcorrJZBSBeemm = qcdsamples.Draw("LcorrJZBSBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
3004 +
3005 +    //these are for the ratio
3006 +    JRcorrJZBSBem   = qcdsamples.Draw("JRcorrJZBSBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
3007 +    JLcorrJZBSBem   = qcdsamples.Draw("JLcorrJZBSBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
3008 +    JRcorrJZBSBeemm = qcdsamples.Draw("JRcorrJZBSBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
3009 +    JLcorrJZBSBeemm = qcdsamples.Draw("JLcorrJZBSBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
3010 +
3011 +  }
3012 +  
3013 +  flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- prediction changed.
3014 +  
3015 +  TH1F *Zjetspred = (TH1F*)LcorrJZBeemm->Clone("Zjetspred");
3016 +  TH1F *TTbarpred = (TH1F*)RcorrJZBem->Clone("TTbarpred");
3017 +    
3018 +  TH1F *Bpred = (TH1F*)LcorrJZBeemm->Clone("Bpred");
3019 +  TH1F *JBpred = (TH1F*)JLcorrJZBeemm->Clone("Bpred");
3020 +  if(PlottingSetup::RestrictToMassPeak) {
3021 +    Bpred->Add(RcorrJZBem,1.0/3.);
3022 +    Bpred->Add(LcorrJZBem,-1.0/3.);
3023 +    Bpred->Add(RcorrJZBSBem,1.0/3.);
3024 +    Bpred->Add(LcorrJZBSBem,-1.0/3.);
3025 +    Bpred->Add(RcorrJZBSBeemm,1.0/3.);
3026 +    Bpred->Add(LcorrJZBSBeemm,-1.0/3.);
3027 +    
3028 +    TTbarpred->Scale(1.0/3);
3029 +    Zjetspred->Add(LcorrJZBem,-1.0/3.);
3030 +    Zjetspred->Add(LcorrJZBSBem,-1.0/3.);
3031 +    TTbarpred->Add(RcorrJZBSBem,1.0/3.);
3032 +    Zjetspred->Add(LcorrJZBSBeemm,-1.0/3.);
3033 +    TTbarpred->Add(RcorrJZBSBeemm,1.0/3.);
3034 +    
3035 +    //these are for the ratio
3036 +    JBpred->Add(JRcorrJZBem,1.0/3.);
3037 +    JBpred->Add(JLcorrJZBem,-1.0/3.);
3038 +    JBpred->Add(JRcorrJZBSBem,1.0/3.);
3039 +    JBpred->Add(JLcorrJZBSBem,-1.0/3.);
3040 +    JBpred->Add(JRcorrJZBSBeemm,1.0/3.);
3041 +    JBpred->Add(JLcorrJZBSBeemm,-1.0/3.);
3042 +  } else {
3043 +    Bpred->Add(RcorrJZBem,1.0);
3044 +    Bpred->Add(LcorrJZBem,-1.0);
3045 +    
3046 +    Zjetspred->Add(LcorrJZBem,-1.0);
3047 +    
3048 +    //these are for the ratio
3049 +    JBpred->Add(JRcorrJZBem,1.0);
3050 +    JBpred->Add(JLcorrJZBem,-1.0);
3051 +  }
3052 +    
3053 +  
3054 +  flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- prediction changed
3055 +  
3056 +  TLegend *legBpred = make_legend("",0.6,0.55,false);
3057 +  RcorrJZBeemm->Draw("e1x0,same");
3058 +  Bpred->Draw("hist,same");
3059 +  RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
3060 +  legBpred->AddEntry(RcorrJZBeemm,"MC observed","p");
3061 +  legBpred->AddEntry(Bpred,"MC predicted","l");
3062 +  if(versok) legBpred->AddEntry((TObject*)0,"",""); // Just for alignment // causes seg fault on root v5.18
3063 +  if(versok) legBpred->AddEntry((TObject*)0,"",""); // causes seg fault on root v5.18
3064 +  legBpred->Draw();
3065 +  DrawMCPrelim();
3066 +
3067 +  //3rd last argument: do special bpred ratio, 2nd last argument: extended range!, last: y-axis title
3068 +  string ytitle("ratio");
3069 +  if ( use_data==1 ) ytitle = "data/pred";
3070 +  save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,"QCD/Bpred",true,false,ytitle);
3071 +  
3072 +  TH1F *allevents = qcdsamples.Draw("allevents","pfJetGoodNum",1,0,100, "internal code", "events", "" ,mc, luminosity);
3073 +  TH1F *ossf = qcdsamples.Draw("ossf","pfJetGoodNum",1,0,100, "internal code", "events", cutOSSF ,mc, luminosity);
3074 +  TH1F *osof = qcdsamples.Draw("osof","pfJetGoodNum",1,0,100, "internal code", "events", cutOSOF ,mc, luminosity);
3075 +  TH1F *njossf = qcdsamples.Draw("njossf","pfJetGoodNum",1,0,100, "internal code", "events", cutnJets&&cutOSSF ,mc, luminosity);
3076 +  TH1F *njosof = qcdsamples.Draw("njosof","pfJetGoodNum",1,0,100, "internal code", "events", cutnJets&&cutOSOF ,mc, luminosity);
3077 +  
3078 +  dout << "______________________________________________" << endl;
3079 +  dout << "QCD contribution: " << endl;
3080 +  dout << "Total number of events: " << allevents->Integral() << endl;
3081 +  dout << "OSSF events: " << ossf->Integral() << endl;
3082 +  dout << "OSOF events: " << osof->Integral() << endl;
3083 +  dout << "OSSF events with >=3 jets:" << njossf->Integral() << endl;
3084 +  dout << "OSOF events with >=3 jets:" << njosof->Integral() << endl;
3085 +  dout << "(note that no mass requirement has been imposed)" << endl;
3086 +  
3087 +  dout << "______________________________________________" << endl;
3088 +  dout << "How QCD shows up in the different regions: " << endl;
3089 +  dout << "OSSF: " << endl;
3090 +  if(PlottingSetup::RestrictToMassPeak) {
3091 +    dout << "     Z window: \t" << RcorrJZBeemm->Integral() << " (JZB>0) , " << LcorrJZBeemm->Integral() << " (JZB<0) --> total: " << RcorrJZBeemm->Integral() + LcorrJZBeemm->Integral() << endl;
3092 +    dout << "     sideband: \t" << RcorrJZBSBeemm->Integral() << " (JZB>0) , " << LcorrJZBSBeemm->Integral() << " (JZB<0) --> total: " << RcorrJZBSBeemm->Integral() + LcorrJZBSBeemm->Integral() << endl;
3093 +  } else {
3094 +    dout << "     " << RcorrJZBeemm->Integral() << " (JZB>0) , " << LcorrJZBeemm->Integral() << " (JZB<0) --> total: " << RcorrJZBeemm->Integral() + LcorrJZBeemm->Integral() << endl;
3095 +  }
3096 +  dout << "OSOF: " << endl;
3097 +  if(PlottingSetup::RestrictToMassPeak) {
3098 +    dout << "     Z window: \t" << RcorrJZBem->Integral() << " (JZB>0) , " << LcorrJZBem->Integral() << " (JZB<0) --> total: " << RcorrJZBem->Integral() + LcorrJZBem->Integral() << endl;
3099 +    dout << "     sideband: \t" << RcorrJZBSBem->Integral() << " (JZB>0) , " << LcorrJZBSBem->Integral() << " (JZB<0) --> total: " << RcorrJZBSBem->Integral() + LcorrJZBSBem->Integral() << endl;
3100 +  } else {
3101 +    dout << "     Z window: \t" << RcorrJZBem->Integral() << " (JZB>0) , " << LcorrJZBem->Integral() << " (JZB<0) --> total: " << RcorrJZBem->Integral() + LcorrJZBem->Integral() << endl;
3102 +  }
3103 +  dout << "Therefore: " << endl;
3104 +  if(PlottingSetup::RestrictToMassPeak) {
3105 +    dout << "    Prediction increases by : " << LcorrJZBeemm->Integral() << " + (1.0/3)*(" << RcorrJZBSBeemm->Integral() <<"-"<< LcorrJZBSBeemm->Integral() << ") (SFSB) ";
3106 +    dout << " + (1.0/3)*(" << RcorrJZBem->Integral() <<"-"<< LcorrJZBem->Integral() << ") (OFZP) ";
3107 +    dout << " + (1.0/3)*(" << RcorrJZBSBem->Integral() <<"-"<< LcorrJZBSBem->Integral() << ") (OFSB) ";
3108 +    dout << " = " << LcorrJZBeemm->Integral() + (1.0/3)*(RcorrJZBSBeemm->Integral() - LcorrJZBSBeemm->Integral() + RcorrJZBem->Integral() - LcorrJZBem->Integral() + RcorrJZBSBem->Integral() - LcorrJZBSBem->Integral()) << endl;
3109 +  } else {
3110 +    dout << "    Prediction increases by : " << LcorrJZBeemm->Integral();
3111 +    dout << " + (" << RcorrJZBem->Integral() <<"-"<< LcorrJZBem->Integral() << ") (OFZP) ";
3112 +    dout << " = " << LcorrJZBeemm->Integral() + RcorrJZBem->Integral() - LcorrJZBem->Integral() << endl;
3113 +  }
3114 +  dout << "    Observation increases by : " << RcorrJZBeemm->Integral() << endl;
3115 +  
3116 +  dout << endl;
3117 +  for(int i=0;i<(int)bins.size();i++) {
3118 +    dout << " JZB > " << bins[i] << " : " << endl;
3119 +    dout << "    Observation increases by : " << RcorrJZBeemm->Integral(RcorrJZBeemm->FindBin(bins[i]),RcorrJZBeemm->GetNbinsX()) << endl;
3120 +    if(PlottingSetup::RestrictToMassPeak) {
3121 +        dout << "    Prediction increases by : " << LcorrJZBeemm->Integral(RcorrJZBeemm->FindBin(bins[i]),RcorrJZBeemm->GetNbinsX()) + (1.0/3)*(RcorrJZBSBeemm->Integral(RcorrJZBeemm->FindBin(bins[i]),RcorrJZBeemm->GetNbinsX()) - LcorrJZBSBeemm->Integral(RcorrJZBeemm->FindBin(bins[i]),RcorrJZBeemm->GetNbinsX()) + RcorrJZBem->Integral(RcorrJZBeemm->FindBin(bins[i]),RcorrJZBeemm->GetNbinsX()) - LcorrJZBem->Integral(RcorrJZBeemm->FindBin(bins[i]),RcorrJZBeemm->GetNbinsX()) + RcorrJZBSBem->Integral(RcorrJZBeemm->FindBin(bins[i]),RcorrJZBeemm->GetNbinsX()) - LcorrJZBSBem->Integral(RcorrJZBeemm->FindBin(bins[i]),RcorrJZBeemm->GetNbinsX())) << endl;
3122 +    } else {
3123 +        dout << "    Prediction increases by : " << LcorrJZBeemm->Integral(RcorrJZBeemm->FindBin(bins[i]),RcorrJZBeemm->GetNbinsX()) + RcorrJZBem->Integral(RcorrJZBeemm->FindBin(bins[i]),RcorrJZBeemm->GetNbinsX()) - LcorrJZBem->Integral(RcorrJZBeemm->FindBin(bins[i]),RcorrJZBeemm->GetNbinsX()) << endl;
3124 +    }
3125 +  }
3126 +      
3127 +  delete can;
3128 +  delete allevents;
3129 +  if(ossf) delete ossf;
3130 +  if(RcorrJZBem) delete RcorrJZBem;
3131 +  if(LcorrJZBem) delete LcorrJZBem;
3132 +  if(RcorrJZBeemm) delete RcorrJZBeemm;
3133 +  if(LcorrJZBeemm) delete LcorrJZBeemm;
3134 +  if(PlottingSetup::RestrictToMassPeak&&RcorrJZBSBem) delete RcorrJZBSBem;
3135 +  if(PlottingSetup::RestrictToMassPeak&&LcorrJZBSBem) delete LcorrJZBSBem;
3136 +  if(PlottingSetup::RestrictToMassPeak&&RcorrJZBSBeemm) delete RcorrJZBSBeemm;
3137 +  if(PlottingSetup::RestrictToMassPeak&&LcorrJZBSBeemm) delete LcorrJZBSBeemm;
3138 + }
3139 +
3140 + void check_ptsanity() {
3141 +  TCanvas *ptsancan = new TCanvas("ptsancan","ptsancan",600,1800);
3142 +  TH1F *individualpt1histos[allsamples.collection.size()];
3143 +  TH1F *individualpt2histos[allsamples.collection.size()];
3144 +  TH1F *fpt1 = new TH1F("fpt1","fpt1",50,0,50);
3145 +  fpt1->GetYaxis()->SetRangeUser(0,1);
3146 +  fpt1->GetXaxis()->SetTitle("p_{T,1}");
3147 +  fpt1->GetXaxis()->CenterTitle();
3148 +
3149 +  TH1F *fpt2 = new TH1F("fpt2","fpt2",50,0,50);
3150 +  fpt2->GetXaxis()->SetTitle("p_{T,2}");
3151 +  fpt2->GetXaxis()->CenterTitle();
3152 +  
3153 +  ptsancan->Divide(1,3);
3154 +  ptsancan->cd(1);
3155 +  float maxpt1entry=0;
3156 +  float maxpt2entry=0;
3157 +  
3158 +  TLegend *leg = make_legend();
3159 +  leg->SetX1(0.0);
3160 +  leg->SetY1(0.0);
3161 +  leg->SetX2(1.0);
3162 +  leg->SetY2(1.0);
3163 +  
3164 +  
3165 +  for(int isample=0;isample<(int)allsamples.collection.size();isample++) {
3166 +    string nowname=(allsamples.collection)[isample].filename;
3167 +    cout << "Drawing: " << nowname << " (sample " << isample+1 << " / " << allsamples.collection.size() << ")" << endl;
3168 +    individualpt1histos[isample] = allsamples.Draw(GetNumericHistoName(),"pt1",50,0,50, "p_{T,1}", "events",cutOSSF&&cutnJets,mc,luminosity,allsamples.FindSample(nowname));
3169 +    individualpt2histos[isample] = allsamples.Draw(GetNumericHistoName(),"pt2",50,0,50, "p_{T,2}", "events",cutOSSF&&cutnJets,mc,luminosity,allsamples.FindSample(nowname));
3170 +    individualpt1histos[isample]->SetLineColor(isample+1);
3171 +    individualpt2histos[isample]->SetLineColor(isample+1);
3172 +    float currmaxpt1entry=individualpt1histos[isample]->GetMaximum()/individualpt1histos[isample]->Integral();
3173 +    float currmaxpt2entry=individualpt2histos[isample]->GetMaximum()/individualpt2histos[isample]->Integral();
3174 +    cout << "      pt 1 histo contains; " << individualpt1histos[isample]->Integral() << endl;
3175 +    cout << "      pt 2 histo contains; " << individualpt2histos[isample]->Integral() << endl;
3176 +    if(currmaxpt1entry>maxpt1entry)maxpt1entry=currmaxpt1entry;
3177 +    if(currmaxpt2entry>maxpt2entry)maxpt2entry=currmaxpt2entry;
3178 +    leg->AddEntry(individualpt2histos[isample],((allsamples.collection)[isample].filename).c_str(),"f");
3179 +  }
3180 +
3181 +  fpt1->GetYaxis()->SetRangeUser(0,maxpt1entry);
3182 +  fpt2->GetYaxis()->SetRangeUser(0,maxpt2entry);
3183 +
3184 +  ptsancan->cd(1);
3185 +  fpt1->Draw();
3186 +  ptsancan->cd(2);
3187 +  fpt2->Draw();
3188 +
3189 +  for(int isample=0;isample<(int)allsamples.collection.size();isample++) {
3190 +    ptsancan->cd(1);
3191 +    individualpt1histos[isample]->DrawNormalized("same,histo");
3192 +    ptsancan->cd(2);
3193 +    individualpt2histos[isample]->DrawNormalized("same,histo");
3194 +  }
3195 +  ptsancan->cd(3);
3196 +  leg->Draw();
3197 +  CompleteSave(ptsancan,"PtSanityCheck");
3198 +  
3199 +  delete ptsancan;
3200 + }
3201 +
3202 + void do_mlls_plot(string mcjzb) {
3203 +  cout << "At this point we'd plot the mll distribution" << endl;
3204 +  TCanvas *sigcan = new TCanvas("sigcan","sigcan");
3205 +  for(int isig=0;isig<(int)(signalsamples.collection).size();isig++) {
3206 +    if(!(signalsamples.collection)[isig].events) continue;
3207 +    string nowname=(signalsamples.collection)[isig].filename;
3208 +    TH1F *mll = signalsamples.Draw("mllhisto","mll",150,0,150, "m_{ll}", "events",cutOSSF&&cutnJets,mc,luminosity,signalsamples.FindSample(nowname));
3209 + //    TH1F *mll = signalsamples.Draw("mllhisto","mll",150,0,150, "m_{ll}", "events","",mc,luminosity,signalsamples.FindSample(nowname));
3210 +    mll->SetLineColor(TColor::GetColor("#04B404"));
3211 +    stringstream poscutS;
3212 +    poscutS << "((" << mcjzb <<")>50)";
3213 +    TCut poscut(poscutS.str().c_str());
3214 +    TH1F *mllP = signalsamples.Draw("mllhistoP","mll",150,0,150, "m_{ll}", "events",cutOSSF&&cutnJets&&poscut,mc,luminosity,signalsamples.FindSample(nowname));
3215 +    mllP->SetLineColor(TColor::GetColor("#0040FF"));
3216 +    mll->Draw("histo");
3217 +    mllP->Draw("histo,same");
3218 +    TLegend *leg = make_legend();
3219 +    leg->SetY1(0.8);
3220 +    leg->AddEntry(mll,(signalsamples.collection)[isig].samplename.c_str(),"L");
3221 +    leg->AddEntry(mllP,((signalsamples.collection)[isig].samplename+", JZB>50").c_str(),"L");
3222 +    leg->Draw();
3223 +    TLine *lin = new TLine(71.2,0,71.2,mll->GetMaximum());
3224 +    TLine *lin2 = new TLine(111.2,0,111.2,mll->GetMaximum());
3225 +    lin->Draw("same");
3226 +    lin2->Draw("same");
3227 +    
3228 +    CompleteSave(sigcan,"MllShape/"+(signalsamples.collection)[isig].samplename);
3229 +    delete mll;
3230 +    delete mllP;
3231 +  }
3232 + }
3233 +
3234 + void met_vs_jzb_plots() {
3235 +  
3236 +  TCanvas *canmetjzb = new TCanvas("canmet","MET vs JZB canvas");
3237 +  canmetjzb->SetRightMargin(0.16);
3238 +  
3239 +  vector<string> findme;
3240 +  findme.push_back("DY");
3241 +  findme.push_back("TTJets");
3242 +  findme.push_back("LM");
3243 +  
3244 +  for(int ifind=0;ifind<(int)findme.size();ifind++) {
3245 +    vector<int> selsamples = allsamples.FindSample(findme[ifind]);
3246 +    TH2F *metvsjzb = new TH2F("metvsjzb","metvsjzb",200,0,100,400,-100,100);
3247 +    for(int isel=0;isel<(int)selsamples.size();isel++) {
3248 +      cout << "Producing MET:JZB plot ... working on sample: " << allsamples.collection[selsamples[isel]].filename << endl;
3249 +      allsamples.collection[selsamples[isel]].events->Draw("jzb[1]:met[4]>>+metvsjzb",cutmass&&cutOSSF);
3250 +    }
3251 +    metvsjzb->Scale(allsamples.collection[selsamples[0]].weight);
3252 +    metvsjzb->SetStats(0);
3253 +    metvsjzb->GetXaxis()->SetTitle("MET (GeV)");
3254 +    metvsjzb->GetYaxis()->SetTitle("JZB (GeV)");
3255 +    metvsjzb->GetXaxis()->CenterTitle();
3256 +    metvsjzb->GetYaxis()->CenterTitle();
3257 +    metvsjzb->Draw("COLZ");
3258 +    TText* title = write_text(0.5,0.95,allsamples.collection[selsamples[0]].samplename);
3259 +    title->SetTextAlign(12);
3260 +    title->Draw();
3261 +    CompleteSave(canmetjzb,(string)"METvsJZBplots/"+findme[ifind]);
3262 +  }
3263 + }
3264 +    
3265  
3266   void test() {
3267    

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