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Comparing UserCode/cbrown/Development/Plotting/Modules/Plotting_Functions.C (file contents):
Revision 1.3 by buchmann, Thu Feb 23 15:15:52 2012 UTC vs.
Revision 1.59 by fronga, Fri Sep 7 09:46:46 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, bool SwitchOffNJetsCut, float &MCPeak,float &MCPeakError, float &DataPeak, float &DataPeakError, float &MCSigma, float &MCSigmaError, float &DataSigma, float& DataSigmaError, 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	>	TCut nJetsCut(cutnJets);
46	>	if(SwitchOffNJetsCut) nJetsCut=specialcut;
47	>
48		TCanvas *tempcan = new TCanvas("tempcan","Temporary canvas for peak finding preparations");
49	<	TH1F *rawJZBeemmMC      = allsamples.Draw("rawJZBeemmMC",jzbvariablemc,100,-50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,mc, luminosity);
50	<	TH1F *rawJZBeemmData    = allsamples.Draw("rawJZBeemmData",jzbvariabledata,100, -50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,data, luminosity);
51	<	TH1F *rawJZBemMC      = allsamples.Draw("rawJZBemMC",jzbvariablemc,100,-50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,mc, luminosity);
52	<	TH1F *rawJZBemData    = allsamples.Draw("rawJZBemData",jzbvariabledata,100, -50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,data, luminosity);
49	>	TH1F *rawJZBeemmMC      = allsamples.Draw("rawJZBeemmMC",jzbvariablemc,nbins,-50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&nJetsCut&&specialcut,mc, luminosity);
50	>	TH1F *rawJZBeemmData    = allsamples.Draw("rawJZBeemmData",jzbvariabledata,nbins, -50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&nJetsCut&&specialcut,data, luminosity);
51	>	TH1F *rawJZBemMC      = allsamples.Draw("rawJZBemMC",jzbvariablemc,nbins,-50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&nJetsCut&&specialcut,mc, luminosity);
52	>	TH1F *rawJZBemData    = allsamples.Draw("rawJZBemData",jzbvariabledata,nbins, -50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&nJetsCut&&specialcut,data, luminosity);
53		TH1F *rawttbarjzbeemmMC;
54
55		if(method==doKM) {
56		//we only need this histo for the KM fitting...
57	<	rawttbarjzbeemmMC = allsamples.Draw("rawttbarjzbeemmMC",jzbvariablemc,100, -50,50, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,luminosity,allsamples.FindSample("TTJet"));
58	<	MCPeak=find_peak(rawJZBeemmMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method);
59	<	DataPeak=find_peak(rawJZBeemmData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method);
57	>	rawttbarjzbeemmMC = allsamples.Draw("rawttbarjzbeemmMC",jzbvariablemc,nbins, -50,50, "JZB [GeV]", "events",cutmass&&cutOSSF&&nJetsCut&&specialcut,mc,luminosity,allsamples.FindSample("TTJet"));
58	>	MCPeak=find_peak(rawJZBeemmMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,MCSigmaError,method,saveas);
59	>	DataPeak=find_peak(rawJZBeemmData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,DataSigmaError,method,saveas);
60	>	delete rawttbarjzbeemmMC;
61		}
62		else {
63		TH1F *reducedMC = (TH1F*)rawJZBeemmMC->Clone();
#	Line 51 | Line 65 | void find_peaks(float &MCPeak,float &MCP
65		reducedMC->Add(rawJZBemMC,-1);
66		reducedData->Add(rawJZBemData,-1);
67		//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)
68	<	MCPeak=find_peak(reducedMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method);
69	<	DataPeak=find_peak(reducedData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method);
70	<
68	>	MCPeak=find_peak(reducedMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,MCSigmaError,method,saveas);
69	>	DataPeak=find_peak(reducedData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,DataSigmaError,method,saveas);
70	>	delete reducedMC;
71	>	delete reducedData;
72		}
73
74		// Revert to original PU reweighting
#	Line 61 | Line 76 | void find_peaks(float &MCPeak,float &MCP
76
77		//  MCPeak=find_peak(rawJZBeemmMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method);
78		//  DataPeak=find_peak(rawJZBeemmData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method);
79	<	dout << "We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
80	<	result << "We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
81	<	dout << "We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
82	<	result << "We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
79	>	dout   << "   We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- " << DataSigmaError << endl;
80	>	result << "   We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- " << DataSigmaError << endl;
81	>	dout   << "   We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- " << MCSigmaError << endl;
82	>	result << "   We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- " << MCSigmaError << endl;
83	>	delete rawJZBeemmData;
84	>	delete rawJZBeemmMC;
85	>	delete rawJZBemData;
86	>	delete rawJZBemMC;
87		delete tempcan;
88		}
89
90	+	void find_peaks(float &MCPeak,float &MCPeakError, float &DataPeak, float &DataPeakError, stringstream &result, bool doPUreweighting, stringstream &datajzb, stringstream &mcjzb, string sSpecialCut="", bool SwitchOffNJetsCut=false)
91	+	{
92	+	switch_overunderflow(false);
93	+
94	+	TCut SpecialCut("mll>=0");
95	+	if(sSpecialCut!="") SpecialCut=TCut(sSpecialCut.c_str());
96	+
97	+	bool DoInvidualeemmPeaks=false;
98	+
99	+	float mcpeak, datapeak;
100	+	float mcpeakerr, datapeakerr;
101	+
102	+	float mceepeak,mcmmpeak;
103	+	float mceepeakerr,mcmmpeakerr;
104	+
105	+	float datammpeak,dataeepeak;
106	+	float datammpeakerr,dataeepeakerr;
107	+
108	+	float mcSigma,mcSigmaError, dataSigma, dataSigmaError;
109	+
110	+	dout << "Finding global peak : " << endl;
111	+	find_one_peak_combination(SpecialCut,SwitchOffNJetsCut,mcpeak,mcpeakerr, datapeak,datapeakerr,mcSigma,mcSigmaError, dataSigma,dataSigmaError,result,doPUreweighting,"");
112	+
113	+	if(DoInvidualeemmPeaks) {
114	+	dout << "Finding peak for electrons : " << endl;
115	+	find_one_peak_combination(SpecialCut&&TCut("id1==0"),SwitchOffNJetsCut,mceepeak,mceepeakerr,dataeepeak,dataeepeakerr,mcSigma,mcSigmaError,dataSigma,dataSigmaError,result,doPUreweighting,"_ele");
116	+	dout << "Finding peak for muons : " << endl;
117	+	find_one_peak_combination(SpecialCut&&TCut("id1==1"),SwitchOffNJetsCut,mcmmpeak,mcmmpeakerr,datammpeak,datammpeakerr,mcSigma,mcSigmaError,dataSigma,dataSigmaError,result,doPUreweighting,"_mu");
118	+
119	+	datajzb << "(" << jzbvariabledata;
120	+	mcjzb << "(" << jzbvariablemc;
121	+
122	+	if(dataeepeak>0) datajzb << "- (id1==id2)*(id1==0)*" << TMath::Abs(dataeepeak) << " ";
123	+	else datajzb << "+ (id1==id2)*(id1==0)*" << TMath::Abs(dataeepeak) << " ";
124	+
125	+	if(datammpeak>0) datajzb << "- (id1==id2)*(id1==1)*" << TMath::Abs(datammpeak) << " ";
126	+	else datajzb << "+ (id1==id2)*(id1==1)*" << TMath::Abs(datammpeak) << " ";
127	+
128	+	if(datapeak>0) datajzb << "- (id1!=id2)*" << TMath::Abs(datapeak) << " ";
129	+	else datajzb << "+ (id1!=id2)*" << TMath::Abs(datapeak) << " ";
130	+
131	+	datajzb << ")";
132	+
133	+	if(mceepeak>0) mcjzb << "- (id1==id2)*(id1==0)*" << TMath::Abs(mceepeak) << " ";
134	+	else mcjzb << "+ (id1==id2)*(id1==0)*" << TMath::Abs(mceepeak) << " ";
135	+
136	+	if(mcmmpeak>0) mcjzb << "- (id1==id2)*(id1==1)*" << TMath::Abs(mcmmpeak) << " ";
137	+	else mcjzb << "+ (id1==id2)*(id1==1)*" << TMath::Abs(mcmmpeak) << " ";
138	+
139	+	if(mcpeak>0) mcjzb << "- (id1!=id2)*" << TMath::Abs(mcpeak) << " ";
140	+	else mcjzb << "+ (id1!=id2)*" << TMath::Abs(mcpeak) << " ";
141	+
142	+	mcjzb << ")";
143	+
144	+	} else {
145	+	datajzb << "(" << jzbvariabledata;
146	+	mcjzb << "(" << jzbvariablemc;
147	+
148	+	if(datapeak>0) datajzb << "- " << TMath::Abs(datapeak) << " ";
149	+	else datajzb << "+ " << TMath::Abs(datapeak) << " ";
150	+
151	+	datajzb << ")";
152	+
153	+	if(mcpeak>0) mcjzb << "- " << TMath::Abs(mcpeak) << " ";
154	+	else mcjzb << "+ " << TMath::Abs(mcpeak) << " ";
155	+
156	+	mcjzb << ")";
157	+	}
158	+
159	+	MCPeak=mcpeak;
160	+	MCPeakError=mcpeakerr;
161	+	DataPeak=datapeak;
162	+	DataPeakError=datapeakerr;
163	+
164	+	switch_overunderflow(true);
165	+
166	+	}
167	+
168	+	void make_special_obs_pred_mll_plot(string datajzb, string mcjzb, float jzbthreshold, float binWidth = 5.0) {
169	+	float min=70.0;
170	+	float max=115.0;
171	+	if(!PlottingSetup::RestrictToMassPeak) {
172	+	min=20;
173	+	max=300;
174	+	}
175	+	int nbins=int((max-min)/binWidth);
176	+
177	+	TCanvas *ckin = new TCanvas("ckin","Kinematic Plots (in the making)",600,600);
178	+
179	+	stringstream largerzeroS;
180	+	largerzeroS << "(" << datajzb << ">" << jzbthreshold << ")";
181	+	TCut largerzeroD(largerzeroS.str().c_str());
182	+
183	+	stringstream smallerzeroS;
184	+	smallerzeroS << "(" << datajzb << "<-" << jzbthreshold << ")";
185	+	TCut smallerzeroD(smallerzeroS.str().c_str());
186	+
187	+
188	+	stringstream largerzeroMS;
189	+	largerzeroMS << "(" << mcjzb << ">" << jzbthreshold << ")";
190	+	TCut largerzeroM(largerzeroMS.str().c_str());
191	+
192	+	TH1F *RcorrJZBeemm     = allsamples.Draw("RcorrJZBeemm",       "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzeroD,data,luminosity);
193	+	THStack mcRcorrJZBeemm = allsamples.DrawStack("mcRcorrJZBeemm","mll",nbins,min,max, "m_{ll} [GeV}", "events", cutmass&&cutOSSF&&cutnJets&&largerzeroM,mc,luminosity);
194	+	TH1F *LcorrJZBeemm     = allsamples.Draw("LcorrJZBeemm",       "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&smallerzeroD,data,luminosity);
195	+	TH1F *RcorrJZBem       = allsamples.Draw("RcorrJZBem",         "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&largerzeroD,data,luminosity);
196	+	TH1F *LcorrJZBem       = allsamples.Draw("LcorrJZBem",         "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&smallerzeroD,data,luminosity);
197	+
198	+	TH1F *RcorrJZBSBem;
199	+	TH1F *LcorrJZBSBem;
200	+	TH1F *RcorrJZBSBeemm;
201	+	TH1F *LcorrJZBSBeemm;
202	+
203	+	//  TH1F *RcorrJZBeemmNoS;
204	+
205	+	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
206	+	RcorrJZBSBem   = allsamples.Draw("RcorrJZBSBem",  "mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&largerzeroD,data, luminosity);
207	+	LcorrJZBSBem   = allsamples.Draw("LcorrJZBSBem",  "mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&smallerzeroD,data, luminosity);
208	+	RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm","mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&largerzeroD,data, luminosity);
209	+	LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm","mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&smallerzeroD,data, luminosity);
210	+	}
211	+
212	+	// Separate predictions
213	+	TH1F* SFN = (TH1F*)LcorrJZBeemm->Clone("SFN");
214	+	TH1F* OFP = (TH1F*)RcorrJZBem->Clone("OFP");
215	+	TH1F* OFN = (TH1F*)LcorrJZBem->Clone("OFN");
216	+	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
217	+	OFP->Scale(1.0/3.0);
218	+	OFP->Add(RcorrJZBSBem,1.0/3.);
219	+	OFP->Add(RcorrJZBSBeemm,1.0/3.);
220	+	OFN->Scale(1.0/3.0);
221	+	OFN->Add(LcorrJZBSBem,1.0/3.);
222	+	OFN->Add(LcorrJZBSBeemm,1.0/3.);
223	+	}
224	+
225	+	TH1F* Bpred = (TH1F*)SFN->Clone("Bpred");
226	+	Bpred->Add(OFP);
227	+	Bpred->Add(OFN,-1);
228	+	Bpred->SetLineColor(kRed);
229	+
230	+	RcorrJZBeemm->SetTitleOffset(1.3,"y");
231	+	RcorrJZBeemm->Draw();
232	+	mcRcorrJZBeemm.Draw("same");
233	+	Bpred->Draw("histo,same");
234	+	RcorrJZBeemm->Draw("same");
235	+
236	+	TLegend *leg = allsamples.allbglegend();
237	+	leg->SetX1(0.58);
238	+	leg->AddEntry(RcorrJZBeemm,"observed (data)","l");
239	+	leg->AddEntry(Bpred,"predicted (data)","l");
240	+	leg->Draw("same");
241	+
242	+	stringstream saveas;
243	+	saveas << "kin/Mll_After_Cut/Cut_At" << jzbthreshold;
244	+	CompleteSave(ckin,saveas.str());
245	+
246	+	// Draw all predictions overlayed
247	+	unsigned int w = gStyle->GetHistLineWidth()+1; // Make line a bit wider, since we dash it
248	+	SFN->SetLineColor(kGreen+2);
249	+	SFN->SetLineStyle(2);
250	+	SFN->SetLineWidth(w);
251	+	OFP->SetLineColor(kBlue+2);
252	+	OFP->SetLineStyle(2);
253	+	OFP->SetLineWidth(w);
254	+	OFN->SetLineColor(kMagenta+2);
255	+	OFN->SetLineStyle(3);
256	+	OFN->SetLineWidth(w);
257	+
258	+	RcorrJZBeemm->Draw();
259	+	SFN->Draw("histo,same");
260	+	OFP->Draw("histo,same");
261	+	OFN->Draw("histo,same");
262	+	Bpred->Draw("histo,same");
263	+	RcorrJZBeemm->Draw("same");
264	+
265	+	TLegend *leg2 = make_legend("",0.52,0.7);
266	+	leg2->AddEntry(RcorrJZBeemm,"observed (data)","lp");
267	+	leg2->AddEntry(Bpred,"predicted (data)","l");
268	+	leg2->AddEntry(SFN,  "  SF JZB<0","l");
269	+	leg2->AddEntry(OFN,  "  OF JZB<0","l");
270	+	leg2->AddEntry(OFP,  "  OF JZB>0","l");
271	+	leg2->Draw("same");
272	+
273	+	saveas.str("");
274	+	saveas << "kin/Mll_After_Cut/Cut_At" << jzbthreshold << "_nomc";
275	+	CompleteSave(ckin,saveas.str());
276	+
277	+	delete RcorrJZBeemm;
278	+	delete LcorrJZBeemm;
279	+	delete RcorrJZBem;
280	+	delete LcorrJZBem;
281	+	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
282	+	delete RcorrJZBSBeemm;
283	+	delete LcorrJZBSBeemm;
284	+	delete RcorrJZBSBem;
285	+	delete LcorrJZBSBem;
286	+	}
287	+	delete Bpred;
288	+	delete ckin;
289	+	}
290	+
291		void make_special_mll_plot(int nbins, float min, float max, bool logscale,string xlabel) {
292
293		TCanvas *ckin = new TCanvas("ckin","Kinematic Plots (in the making)",600,600);
#	Line 102 | Line 322 | void make_special_mll_plot(int nbins, fl
322		TIter next(bgleg->GetListOfPrimitives());
323		TObject* obj;
324		// Copy the nice bkgd legend skipping the "data"
325	<	while ( obj = next() )
325	>	while ( (obj = next()) )
326		if ( strcmp(((TLegendEntry*)obj)->GetObject()->GetName(),"datahistoOSSF") )
327		kinleg->GetListOfPrimitives()->Add(obj);
328
#	Line 121 | Line 341 | void draw_ratio_plot(TH1* hdata, THStack
341		TIter next(hmc.GetHists());
342		TObject* obj;
343		TH1* hratio = NULL;
344	<	while ( obj = next() ) {
344	>	while ( (obj = next()) ) {
345		if ( !hratio ) {
346		hratio = (TH1*)obj->Clone();
347		hratio->SetName("hratio");
#	Line 152 | Line 372 | void draw_ratio_plot(TH1* hdata, THStack
372		oneline->Draw("same");
373		}
374
375	+	float make_one_OFSF_plot(string variable, string addcut, string legendTitle, int nbins, float min, float max, float ymax, bool logscale,
376	+	string xlabel, string filename, float legendPosition=0.55) {
377	+
378	+	TCut ibasiccut=basiccut;
379	+	bool draw_separation_lines=false;
380	+
381	+	if(addcut != "") ibasiccut = ibasiccut && addcut.c_str();
382	+
383	+	TCut cutSF;
384	+	TCut cutOF;
385	+
386	+	cutOF = cutOSOF&&cutnJets&&ibasiccut;
387	+	cutSF = cutOSSF&&cutnJets&&ibasiccut;
388	+
389	+	TCanvas *ckin = new TCanvas("ckin","Kinematic Plots (in the making)",600,600);
390	+	TPad* rcan = new TPad("rcan","rcan",0,0,1,1);
391	+	rcan->SetLogy(logscale);
392	+	rcan->cd();
393	+
394	+	std::cout << "OF/SF comparison: variable = " << variable << ", cut = " << cutSF.GetTitle() << std::endl;
395	+	TH1F *datahistoSF = allsamples.Draw("datahistoSF",variable,nbins,min,max, xlabel, "events",cutSF,data,luminosity);
396	+	TH1F *datahistoOF = allsamples.Draw("datahistoOF",variable,nbins,min,max, xlabel, "events",cutOF,data,luminosity);
397	+	//   string signal("LM3");
398	+	//   TH1F* signalhisto = new TH1F("signalhisto",signal.c_str(),nbins,min,max);
399	+	//   int idx = signalsamples.FindSample(signal)[0];
400	+	//   (signalsamples.collection)[idx].events->Project("signalhisto",variable.c_str(),cutSF);
401	+	//   signalhisto->Scale((signalsamples.collection)[idx].weight*luminosity);
402	+	//   signalhisto->SetLineColor((signalsamples.collection)[idx].samplecolor);
403	+	//   signalhisto->SetLineStyle(2);
404	+	datahistoSF->SetMarkerSize(DataMarkerSize);
405	+	datahistoOF->SetLineColor(kRed);
406	+
407	+	if ( !logscale ) {
408	+	datahistoSF->SetMinimum(0); // Defaults
409	+	} else {
410	+	datahistoSF->SetMinimum(0.5);
411	+	}
412	+	if (ymax<0) {
413	+	if ( logscale ) datahistoSF->SetMaximum(5.3*datahistoSF->GetMaximum());
414	+	else datahistoSF->SetMaximum(1.5*datahistoSF->GetMaximum());
415	+	} else {
416	+	datahistoSF->SetMaximum(ymax);
417	+	}
418	+
419	+	float ymaxSet = datahistoSF->GetMaximum();
420	+
421	+	datahistoSF->GetXaxis()->SetTitle(xlabel.c_str());
422	+	datahistoSF->GetYaxis()->SetTitle("Events");
423	+	datahistoSF->GetXaxis()->CenterTitle();
424	+	datahistoSF->GetYaxis()->CenterTitle();
425	+
426	+	TLegend *mleg = make_legend(legendTitle.c_str(),legendPosition,0.7,false,legendPosition+0.2);
427	+	mleg->AddEntry(datahistoSF, "Same-flavor", "PL");
428	+	if (datahistoOF->Integral()>0) {
429	+	mleg->AddEntry(datahistoOF, "Opposite-flavor", "L");
430	+	} else {
431	+	mleg->AddEntry((TObject*)0, "", "");
432	+	}
433	+	//mleg->AddEntry(signalhisto, "LM3", "L");
434	+
435	+	datahistoSF->Draw("E1");
436	+	if (datahistoOF->Integral()>0) datahistoOF->Draw("HIST,SAMES");
437	+	//signalhisto->Draw("HIST,SAMES");
438	+	mleg->Draw();
439	+	DrawPrelim();
440	+	if (datahistoOF->Integral()>0) {
441	+	save_with_ratio( datahistoSF, datahistoOF, rcan, "SFOF/" + filename, false, false, "SF/OF" );
442	+	} else {
443	+	CompleteSave(rcan, "SFOF/" + filename);
444	+	delete rcan;
445	+	}
446	+
447	+	datahistoSF->Delete();
448	+	datahistoOF->Delete();
449	+	//signalhisto->Delete();
450	+	delete mleg;
451	+	delete ckin;
452	+
453	+	return ymaxSet;
454	+
455	+	}
456	+
457	+	// Compare data to data
458	+	float make_data_comparison_plot(string variable, TCut cut, int nbins, float min, float max, float ymax, bool logscale,
459	+	string xlabel, string filename, float legendPosition=0.55) {
460	+
461	+	TCut ibasiccut=basiccut&&cut;
462	+
463	+	TCanvas *ckin = new TCanvas("ckin","Kinematic Plots (in the making)",600,600);
464	+	TPad* rcan = new TPad("rcan","rcan",0,0,1,1);
465	+	rcan->SetLogy(logscale);
466	+	rcan->cd();
467	+
468	+	std::cout << "Data comparison: variable = " << variable << ", cut = " << ibasiccut.GetTitle() << std::endl;
469	+
470	+	TH1F *data1 = allsamples.Draw("data1",variable,nbins,min,max, xlabel, "events",ibasiccut,data,luminosity);
471	+	TH1F *data2 = comparesamples.Draw("data2",variable,nbins,min,max, xlabel, "events",ibasiccut,data,luminosity);
472	+
473	+	data1->SetMarkerSize(DataMarkerSize);
474	+	data2->SetLineColor(kRed);
475	+
476	+	if ( !logscale ) {
477	+	data1->SetMinimum(0); // Defaults
478	+	} else {
479	+	data1->SetMinimum(0.5);
480	+	}
481	+	if (ymax<0) {
482	+	if ( logscale ) data1->SetMaximum(5.3*data1->GetMaximum());
483	+	else data1->SetMaximum(1.5*data1->GetMaximum());
484	+	} else {
485	+	data1->SetMaximum(ymax);
486	+	}
487	+
488	+	float ymaxSet = data1->GetMaximum();
489	+
490	+	data1->GetXaxis()->SetTitle(xlabel.c_str());
491	+	data1->GetYaxis()->SetTitle("Events");
492	+	data1->GetXaxis()->CenterTitle();
493	+	data1->GetYaxis()->CenterTitle();
494	+
495	+	TLegend *mleg = make_legend("",legendPosition,0.7,false,legendPosition+0.2);
496	+	mleg->AddEntry(data1, "Old 5/fb", "PL");
497	+	mleg->AddEntry(data2, "New x/fb", "L");
498	+
499	+	data1->Draw("E1");
500	+	data2->Draw("HIST,SAMES");
501	+	mleg->Draw();
502	+	DrawPrelim();
503	+	save_with_ratio( data1, data2, rcan, "compareData/" + filename, false, false, "old/new" );
504	+
505	+	data1->Delete();
506	+	data2->Delete();
507	+	delete mleg;
508	+	delete ckin;
509	+
510	+	}
511	+
512	+	void make_OFSF_plots(string variable, string addcut, int nbins, float min, float max, bool logscale,
513	+	string xlabel, string filename, float legendPosition=0.55) {
514	+
515	+	string mllcuts[] = { "mll>15","mll>15&&mll<70", "mll>75&&mll<105", "mll>120" };
516	+	string mllcutname[] = { "m_{ll} > 15 GeV", "15 < m_{ll} < 70 GeV", "70 < m_{ll} < 110 GeV", "m_{ll} > 120 GeV" };
517	+	string plotname[] = {"_all","_low","_peak","_high"};
518	+	float ymax;
519	+
520	+	int start = 0;
521	+	if ( !PlottingSetup::openBox ) start = 3;
522	+
523	+	for ( int i=start; i<4; ++i ) {
524	+	if ( addcut != "" ) mllcuts[i] += "&&"+addcut;
525	+	if ( i==start ) {
526	+	ymax = make_one_OFSF_plot(variable, mllcuts[i], mllcutname[i], nbins, min, max, -1, logscale, xlabel,
527	+	filename+plotname[i], legendPosition );
528	+	} else {
529	+	make_one_OFSF_plot(variable, mllcuts[i],        mllcutname[i], nbins, min, max, ymax, logscale, xlabel,
530	+	filename+plotname[i], legendPosition );
531	+	}
532	+	make_one_OFSF_plot(variable, "id1==1&&id1==id2&&"+mllcuts[i], mllcutname[i], nbins, min, max, ymax, logscale, xlabel,
533	+	filename+plotname[i]+"_mm", legendPosition );
534	+	make_one_OFSF_plot(variable, "id1==0&&id1==id2&&"+mllcuts[i], mllcutname[i], nbins, min, max, ymax, logscale, xlabel,
535	+	filename+plotname[i]+"_ee", legendPosition );
536	+	}
537	+
538	+	}
539	+
540	+
541		float lastrange_min=0;
542		float lastrange_max=0;
543
#	Line 181 | Line 567 | void make_kin_plot(string variable, stri
567		//Step 2: Refine the cut
568		TCut cut;
569		cut=cutmass&&cutOSSF&&cutnJets&&ibasiccut;
570	<	if(filename=="nJets") cut=cutmass&&cutOSSF&&ibasiccut;
570	>	if(filename=="nJets" || filename=="nJets_inclusive") cut=cutmass&&cutOSSF&&ibasiccut;
571	>	if(filename=="nJets_osof" || filename=="nJets_osof_inclusive") cut=cutmass&&cutOSOF&&ibasiccut;
572		if(filename=="nJets_nocuts_except_mll_ossf") cut=cutmass&&cutOSSF;
573		if(filename=="mll") {
574		cut=cutOSSF&&cutnJets&&ibasiccut;
575		draw_separation_lines=true;
576		}
577		if(filename=="mll_ee") cut=cutOSSF&&cutnJets&&ibasiccut&&"id1==0";
578	+	if(filename=="mll_mm") cut=cutOSSF&&cutnJets&&ibasiccut&&"id1==1";
579		if(filename=="mll_osof") {
580		cut=cutOSOF&&cutnJets&&ibasiccut;
581		draw_separation_lines=true;
582		}
583	<	if(filename=="mll_mm") cut=cutOSSF&&cutnJets&&ibasiccut&&"id1==1";
584	<	if(filename=="mll_aboveJZB100") cut=cutOSSF&&cutnJets&&ibasiccut;
585	<	if(filename=="mll_inclusive"||filename=="mll_inclusive_highrange") cut=cutOSSF;
586	<	if(filename=="mll_inclusive_osof") cut=cutOSOF;
587	<	if(filename=="mll_inclusive_ee") cut=cutOSSF&&"id1==0";
588	<	if(filename=="mll_inclusive_mm") cut=cutOSSF&&"id1==1";
583	>	if(Contains(filename,"aboveJZB")) cut=cutOSSF&&cutnJets&&ibasiccut;
584	>	if(Contains(filename,"mll_ee_above")) cut=cut&&"id1==0";
585	>	if(Contains(filename,"mll_mm_above")) cut=cut&&"id1==1";
586	>	if(Contains(filename,"mll_osof_aboveJZB")) cut=cutOSOF&&cutnJets&&ibasiccut;
587	>	if(filename=="mll_inclusive"||filename=="mll_inclusive_highrange") cut=cutmass&&cutOSSF;
588	>	if(filename=="mll_inclusive_osof") cut=cutmass&&cutOSOF;
589	>	if(filename=="mll_inclusive_ee") cut=cutmass&&cutOSSF&&"id1==0";
590	>	if(filename=="mll_inclusive_mm") cut=cutmass&&cutOSSF&&"id1==1";
591		if(filename=="pfJetGoodEta_0") cut=cutOSSF&&cutmass&&ibasiccut&&cutnJets;
592		if(filename=="pfJetGoodPt_0") cut=cutOSSF&&cutmass&&ibasiccut&&cutnJets;
593	+	if(filename=="numVtx") cut=cutmass&&ibasiccut;
594
595		TCanvas *ckin = new TCanvas("ckin","Kinematic Plots (in the making)",600,600);
596		ckin->SetLogy(logscale);
597		TH1F *datahisto = allsamples.Draw("datahisto",variable,nbins,min,max, xlabel, "events",cut,data,luminosity);
598		datahisto->SetMarkerSize(DataMarkerSize);
599	<	THStack mcstack = allsamples.DrawStack("mcstack",variable,nbins,min,max, xlabel, "events",cut,mc,luminosity);
599	>	if ( !logscale ) datahisto->SetMinimum(0); // Defaults
600	>	else datahisto->SetMinimum(0.5);
601	>	// Custom max.
602	>	if(variable=="TMath::Abs(pfJetDphiMet[0])") datahisto->SetMaximum(1.5*datahisto->GetMaximum());
603		if(variable=="pfJetGoodPt[0]") datahisto->SetMaximum(10*datahisto->GetMaximum());
604		if(variable=="pt") datahisto->SetMaximum(10*datahisto->GetMaximum());
605	<	if(filename=="mll_inclusive") datahisto->SetMinimum(1);
605	>	if(filename=="mll_inclusive"||filename=="mll_inclusive_mm"||filename=="mll_inclusive_ee") datahisto->SetMinimum(1);
606		if(filename=="mll_osof") datahisto->SetMaximum(10*datahisto->GetMaximum());
607		if(filename=="mll_osof") datahisto->SetMinimum(9);
608	+	if (logscale) datahisto->SetMaximum(5.3*datahisto->GetMaximum());
609	+	else datahisto->SetMaximum(1.3*datahisto->GetMaximum());
610
611	<	datahisto->SetMaximum(5.3*datahisto->GetMaximum());
216	<	datahisto->Draw("e1");
217	<	ckin->Update();
611	>	cout << "******** Cut used : " << (const char*) cut << endl;
612		if(loadlastminmax) {
613		datahisto->SetMinimum(lastrange_min);
614		datahisto->SetMaximum(lastrange_max);
#	Line 224 | Line 618 | void make_kin_plot(string variable, stri
618		}
619		}
620
621	+	// Draw signal by hand (for some reason I don't manage to use the sample class: it adds it to the stack!)
622	+	string signal("LM3");
623	+	TH1F* signalhisto = new TH1F("signalhisto",signal.c_str(),nbins,min,max);
624	+	int idx = signalsamples.FindSample(signal)[0];
625	+	(signalsamples.collection)[idx].events->Project("signalhisto",variable.c_str(),cut);
626	+	signalhisto->Scale((signalsamples.collection)[idx].weight*luminosity);
627	+	signalhisto->SetLineColor(kOrange);
628	+
629	+	THStack mcstack   = allsamples.DrawStack("mcstack",  variable,nbins,min,max,xlabel,"events",cut,mc,luminosity);
630	+	datahisto->Draw("e1");
631	+	ckin->Update();
632		mcstack.Draw("same");
633	+
634		datahisto->Draw("same,e1");
635		TLegend *kinleg = allsamples.allbglegend();
636		kinleg->Draw();
#	Line 267 | Line 673 | void make_kin_plot(string variable, stri
673		kinpad->SetLogy(logscale);
674		datahisto->Draw("e1");
675		mcstack.Draw("same");
676	+	signalhisto->Draw("same");
677		datahisto->Draw("same,e1");
678		datahisto->Draw("same,axis");
679		if(RestrictToMassPeak&&draw_separation_lines) {
#	Line 274 | Line 681 | void make_kin_plot(string variable, stri
681		upperboundary->Draw("same");
682		}
683
684	+	kinleg->AddEntry("signalhisto",signal.c_str(),"l");
685		kinleg->Draw();
686		write_cut->Draw();
687		DrawPrelim();
#	Line 291 | Line 699 | void make_kin_plot(string variable, stri
699		delete ckin;
700		}
701
702	<
295	<	void make_JES_plot() {
702	>	void make_JES_plot(TCut cut, string name) {
703
704		int nbins=10;
705		float min=-0.5;
706		float max = 9.5;
707		bool logscale=true;
708		string xlabel="nJets";
302	–	TCut cut=cutmass&&cutOSSF&&basiccut;
709
710		TCanvas *ckin = new TCanvas("ckin","Kinematic Plots (in the making)",600,600);
711		ckin->SetLogy(logscale);
712	<	TH1F *datahisto = allsamples.Draw("datahisto","pfJetGoodNum",nbins,min,max, xlabel, "events",cut,data,luminosity);
712	>	TH1F *datahisto = allsamples.Draw("datahisto","pfJetGoodNum40",nbins,min,max, xlabel, "events",cut,data,luminosity);
713		datahisto->SetMarkerSize(DataMarkerSize);
714	<	THStack mcstack = allsamples.DrawStack("mcstack","pfJetGoodNum",nbins,min,max, xlabel, "events",cut,mc,luminosity);
715	<	TH1F *JESup = allsamples.Draw("JESup","pfJetGoodNum315",nbins,min,max, xlabel, "events",cut,mc,luminosity);
716	<	TH1F *JESdn = allsamples.Draw("JESdn","pfJetGoodNum285",nbins,min,max, xlabel, "events",cut,mc,luminosity);
714	>	THStack mcstack = allsamples.DrawStack("mcstack","pfJetGoodNum40",nbins,min,max, xlabel, "events",cut,mc,luminosity);
715	>	TH1F *JESup = allsamples.Draw("JESup","pfJetGoodNum40p1sigma",nbins,min,max, xlabel, "events",cut,mc,luminosity);
716	>	TH1F *JESdn = allsamples.Draw("JESdn","pfJetGoodNum40n1sigma",nbins,min,max, xlabel, "events",cut,mc,luminosity);
717
718		datahisto->SetMinimum(1);
719		datahisto->SetMaximum(5.3*datahisto->GetMaximum()); // in line with kinematic plots style
#	Line 332 | Line 738 | void make_JES_plot() {
738		TLegend *kinleg = allsamples.allbglegend();
739		kinleg->AddEntry(JESunc,"JES uncertainty","f");
740		kinleg->Draw();
741	<	CompleteSave(ckin,"Systematics/JES");
741	>	CompleteSave(ckin,"Systematics/JES"+name);
742		datahisto->Delete();
743		delete ckin;
744
#	Line 342 | Line 748 | void do_kinematic_plots(string mcjzb, st
748		{
749		bool dolog=true;
750		bool nolog=false;
751	+
752	+	bool doOFSF = true;
753	+	bool doKin  = true;
754	+	bool doDataComp = true;
755	+
756	+
757		if(doPF) write_warning(__FUNCTION__,"Please use caution when trying to produce PF plots; not all versions of the JZB trees have these variables!");
758	<	float mll_low=40;
758	>	float mll_low=50;
759		float mll_hi=160;
760		if(!PlottingSetup::RestrictToMassPeak) {
761	<	mll_low=30;
762	<	mll_hi=180;
761	>	mll_low=20;
762	>	mll_hi=320;
763		}
764	<	make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll",doPF,true);
765	<	make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_osof",doPF,true,true);
766	<	make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_ee",doPF,true);
767	<	make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_mm",doPF,true);
768	<	make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive",doPF,true);
769	<	make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_ee",doPF,true);
770	<	make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_mm",doPF,true);
771	<	make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_osof",doPF,true);
772	<	make_kin_plot("mll","",(int)((350-mll_low)),mll_low,350,dolog,"m_{ll} [GeV]","mll_inclusive_highrange",doPF);
773	<	make_kin_plot("jetpt[0]","",40,0,200,dolog,"leading jet p_{T} [GeV]","pfJetGoodPt_0",doPF);
774	<	make_kin_plot("jeteta[0]","",40,-5,5,nolog,"leading jet #eta","pfJetGoodEta_0",doPF);
775	<	make_kin_plot("pt","",50,0,400,dolog,"Z p_{T} [GeV]","Zpt",doPF);
776	<	make_kin_plot("pt1","",50,0,100,nolog,"p_{T} [GeV]","pt1",doPF);
777	<	make_kin_plot("pt2","",50,0,100,nolog,"p_{T} [GeV]","pt2",doPF);
778	<	make_kin_plot("eta1","",40,-5,5,nolog,"#eta_{l}","eta",doPF);
779	<	make_kin_plot("jzb[1]","",100,-150,150,dolog,"JZB [GeV]","jzb_ossf",doPF);
780	<	make_kin_plot("pfJetGoodNum","",8,0.5,8.5,dolog,"nJets","nJets",doPF);
781	<	make_kin_plot("pfJetGoodNum","",8,0.5,8.5,dolog,"nJets","nJets_nocuts_except_mll_ossf",doPF);
782	<	if(!doPF) make_special_mll_plot((int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]");
783	<	stringstream jzbcut;
784	<	jzbcut << "((is_data&&("<<datajzb<<")>100)||(!is_data&&("<<mcjzb<<")>100))";
785	<	make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB100",doPF,true);
764	>
765	>	if ( doOFSF ) {
766	>	make_OFSF_plots("mll", "met[4]>100", 60, 20., 320., false, "m_{ll}", "mll");
767	>
768	>	make_OFSF_plots("pfJetGoodNum40", "met[4]>100",                        7, 3, 10, true, "#(jets)", "njets");
769	>	make_OFSF_plots("pfJetGoodNum40", "met[4]>100&&pfJetGoodNumBtag30==0", 7, 3, 10, true, "#(jets)", "njets_btagVeto");
770	>	make_OFSF_plots("pfJetGoodNum40", "met[4]>100&&pfJetGoodNumBtag30>0",  7, 3, 10, true, "#(jets)", "njets_AtLeastOneBJet30");
771	>
772	>	make_OFSF_plots("pfJetGoodNumBtag30", "met[4]>100", 5, 0, 5, true, "#(b-jets)", "nbjets");
773	>	make_OFSF_plots("iso1", "met[4]>100", 20, 0, 0.3, true, "lepton 1 isolation", "iso1");
774	>	make_OFSF_plots("iso2", "met[4]>100", 20, 0, 0.3, true, "lepton 2 isolation", "iso2");
775	>	//  make_OFSF_plots("pt1",  "met[4]>100", 30, 0., 300., true, "p_{T,1}", "pt1");
776	>	//  make_OFSF_plots("pt2",  "met[4]>100", 22, 0., 220., true, "p_{T,2}", "pt2");
777	>	make_OFSF_plots("eta1", "met[4]>100", 10, -2.5, 2.5, false, "#eta_{1}", "eta1", 0.15);
778	>	make_OFSF_plots("eta2", "met[4]>100", 10, -2.5, 2.5, false, "#eta_{2}", "eta2", 0.15);
779	>	//  make_OFSF_plots("phi1", "met[4]>100", 10, -TMath::Pi(), TMath::Pi(), false, "#phi_{1}", "phi1", 0.2);
780	>	//  make_OFSF_plots("phi2", "met[4]>100", 10, -TMath::Pi(), TMath::Pi(), false, "#phi_{2}", "phi2", 0.2);
781	>	//  make_OFSF_plots("pfJetGoodPt[0]/pfJetGoodPt[1]", "met[4]>100", 20, 1, 10, true, "pt_{j}^{1}/pt_{j}^{2}", "jpt1pt2", 0.2);
782	>	make_OFSF_plots("TMath::Abs(pfJetDphiMet[0])", "met[4]>100", 16, 0, 3.2, false, "|#Delta#phi(jet1,MET)|", "dphij1met", 0.2);
783	>	make_OFSF_plots("TMath::Abs(dphi)", "met[4]>100", 16, 0, 3.2, false, "|#Delta#phi(l1,l2)|", "dphi", 0.2);
784	>	//  make_OFSF_plots("TMath::Abs(dphiMet1)", "met[4]>100", 16, 0, 3.2, false, "|#Delta#phi(l1,MET)|", "dphiMet1", 0.2);
785	>	//  make_OFSF_plots("TMath::Abs(dphiMet2)", "met[4]>100", 16, 0, 3.2, false, "|#Delta#phi(l2,MET)|", "dphiMet2", 0.2);
786	>	make_OFSF_plots("TMath::Min(TMath::Abs(dphiMet1), TMath::Abs(dphiMet2))", "met[4]>100", 16, 0, 3.2, false, "Min(|#Delta#phi(l,MET)|)", "dphilc");
787	>	make_OFSF_plots("TMath::Min(TMath::Abs(pfJetDphiMet[0]), TMath::Min(TMath::Abs(pfJetDphiMet[1]), TMath::Abs(pfJetDphiMet[2])))", "met[4]>100", 16, 0, 3.2, false, "Min(|#Delta#phi(jet,MET)|)", "dphijc");
788	>	make_OFSF_plots("TMath::Min((TMath::Pi()-TMath::Abs(dphiMet1)), (TMath::Pi() - TMath::Abs(dphiMet2)))", "met[4]>100", 16, 0, 3.2, false, "Min(#pi - |#Delta#phi(l,MET)|)", "dphilco");
789	>	make_OFSF_plots("TMath::Min((TMath::Pi()-TMath::Abs(pfJetDphiMet[0])), TMath::Min( (TMath::Pi()-TMath::Abs(pfJetDphiMet[1])), (TMath::Pi() - TMath::Abs(pfJetDphiMet[2]))))", "met[4]>100", 16, 0, 3.2, false, "Min(#pi - |#Delta#phi(jet,MET)|)", "dphijco");
790	>	}
791	>
792	>	if ( doDataComp && !PlottingSetup::openBox ) {
793	>	TCut mllCut("");
794	>	if ( !PlottingSetup::openBox ) mllCut = "mll>120";
795	>
796	>	TCut cutSignal = cutmass&&cutnJets&&"met[4]>100";
797	>	make_data_comparison_plot("mll", cutOSSF&&cutSignal&&mllCut,           60, 20., 320.,-1., false, "m_{ll}", "mll_SF_sig");
798	>	make_data_comparison_plot("mll", cutOSSF&&cutSignal&&mllCut&&"id1==0", 60, 20., 320.,-1., false, "m_{ll}", "mll_SF_sig_ee");
799	>	make_data_comparison_plot("mll", cutOSSF&&cutSignal&&mllCut&&"id1==1", 60, 20., 320.,-1., false, "m_{ll}", "mll_SF_sig_mm");
800	>
801	>	make_data_comparison_plot("mll", cutOSSF&&cutSignal&&mllCut&&"pfJetGoodNumBtag30==0",           60, 20., 320.,-1., false, "m_{ll}", "mll_SF_sig_btagVeto");
802	>	make_data_comparison_plot("mll", cutOSSF&&cutSignal&&mllCut&&"id1==0&&pfJetGoodNumBtag30==0", 60, 20., 320.,-1., false, "m_{ll}", "mll_SF_sig_ee_btagVeto");
803	>	make_data_comparison_plot("mll", cutOSSF&&cutSignal&&mllCut&&"id1==1&&pfJetGoodNumBtag30==0", 60, 20., 320.,-1., false, "m_{ll}", "mll_SF_sig_mm_btagVeto");
804	>
805	>	make_data_comparison_plot("mll", cutOSSF&&cutSignal&&mllCut&&"pfJetGoodNumBtag30>0",           60, 20., 320.,-1., false, "m_{ll}", "mll_SF_sig_AtLeastOneBJet");
806	>	make_data_comparison_plot("mll", cutOSSF&&cutSignal&&mllCut&&"id1==0&&pfJetGoodNumBtag30>0", 60, 20., 320.,-1., false, "m_{ll}", "mll_SF_sig_ee_AtLeastOneBJet");
807	>	make_data_comparison_plot("mll", cutOSSF&&cutSignal&&mllCut&&"id1==1&&pfJetGoodNumBtag30>0", 60, 20., 320.,-1., false, "m_{ll}", "mll_SF_sig_mm_AtLeastOneBJet");
808	>
809	>	make_data_comparison_plot("mll", cutOSOF&&cutSignal, 60, 20., 320.,-1., false, "m_{ll}", "mll_OF_sig");
810	>	make_data_comparison_plot("mll", cutmass&&"met[4]>100&&met[4]<150&&pfJetGoodNum40<3", 60, 20., 320.,-1., false, "m_{ll}", "mll_SF_CR");
811	>	}
812	>
813	>
814	>	if ( doKin ) {
815	>	string mllCut("");
816	>	if ( !PlottingSetup::openBox ) mllCut = "&&mll>120";
817	>
818	>	// Plots in signal region
819	>	make_kin_plot("met[4]","",70,0,350,dolog,"MET [GeV]","met",doPF,true);
820	>	make_kin_plot("mll","mll>20&&met[4]>100"+mllCut,(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll",doPF,true);
821	>	make_kin_plot("mll","mll>20&&met[4]>100",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_osof",doPF,true,true);
822	>	make_kin_plot("mll","mll>20&&met[4]>100"+mllCut,(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_ee",doPF,true);
823	>	make_kin_plot("mll","mll>20&&met[4]>100"+mllCut,(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_mm",doPF,true);
824	>
825	>	make_kin_plot("pfJetGoodNum40","met[4]>100"+mllCut,9,-0.5,8.5,dolog,"nJets","nJets",doPF);
826	>	make_kin_plot("pfJetGoodNum40","met[4]>100",9,-0.5,8.5,dolog,"nJets","nJets_osof",doPF);
827	>
828	>	// Further inclusive invariant mass plots
829	>	make_kin_plot("mll","",(int)((mll_hi-mll_low))/5,mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive",doPF,true);
830	>	make_kin_plot("mll","",(int)((mll_hi-mll_low))/5,mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_ee",doPF,true);
831	>	make_kin_plot("mll","",(int)((mll_hi-mll_low))/5,mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_mm",doPF,true);
832	>	make_kin_plot("mll","",(int)((mll_hi-mll_low))/5,mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_osof",doPF,true);
833	>
834	>	//make_kin_plot("mll","",(int)((350-mll_low))/5,mll_low,350,dolog,"m_{ll} [GeV]","mll_inclusive_highrange",doPF);
835	>	//if(!doPF) make_special_mll_plot((int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]");
836	>
837	>	//make_kin_plot("pfJetGoodPt[0]/pfJetGoodPt[1]","",45,1,10,dolog,"pt_{j}^{1}/pt_{j}^{2}","j1j2ratio",doPF,true);
838	>	//make_kin_plot("TMath::Abs(pfJetDphiMet[0])","",32,0,3.2,nolog,"|#Delta#phi(jet1,MET)|","dphiJ1MET",doPF,true);
839	>
840	>	// Number of jets
841	>	make_kin_plot("pfJetGoodNum40","",9,-0.5,8.5,dolog,"nJets","nJets_inclusive",doPF);
842	>	make_kin_plot("pfJetGoodNum40","",9,-0.5,8.5,dolog,"nJets","nJets_osof_inclusive",doPF);
843	>	//make_kin_plot("pfJetGoodNum40","",9,-0.5,8.5,dolog,"nJets","nJets_nocuts_except_mll_ossf",doPF);
844	>
845	>	// Others
846	>	make_kin_plot("numVtx","",(int)(30.5-(-0.5)),-0.5,30.5,nolog,"N(Vtx)","numVtx",doPF);
847	>	//  make_kin_plot("jetpt[0]","",40,0,200,dolog,"leading jet p_{T} [GeV]","pfJetGoodPt_0",doPF);
848	>	//  make_kin_plot("jeteta[0]","",40,-5,5,nolog,"leading jet #eta","pfJetGoodEta_0",doPF);
849	>	make_kin_plot("pt","",50,0,500,dolog,"Z p_{T} [GeV]","Zpt",doPF);
850	>	make_kin_plot("pt1","",50,0,200,nolog,"p_{T} [GeV]","pt1",doPF);
851	>	make_kin_plot("pt2","",50,0,200,nolog,"p_{T} [GeV]","pt2",doPF);
852	>	make_kin_plot("eta1","",40,-3,3,nolog,"#eta_{l}","eta",doPF);
853	>	make_kin_plot("jzb[1]","",100,-150,200,dolog,"JZB [GeV]","jzb_ossf",doPF);
854	>	//   stringstream jzbcut;
855	>	//   jzbcut << "((is_data&&("<<datajzb<<")>100)||(!is_data&&("<<mcjzb<<")>100))";
856	>	//   make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_aboveJZB100",doPF,true);
857	>	//   make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_osof_aboveJZB100",doPF,true);
858	>	//   make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_ee_aboveJZB100",doPF,true);
859	>	//   make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_mm_aboveJZB100",doPF,true);
860	>	//   stringstream jzbcut2;
861	>	//   jzbcut2 << "((is_data&&("<<datajzb<<")>150)||(!is_data&&("<<mcjzb<<")>150))";
862	>	//   make_kin_plot("mll",jzbcut2.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_aboveJZB150",doPF,true);
863	>	//   make_kin_plot("mll",jzbcut2.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_osof_aboveJZB150",doPF,true);
864	>	//   make_kin_plot("mll",jzbcut2.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_ee_aboveJZB150",doPF,true);
865	>	//   make_kin_plot("mll",jzbcut2.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_mm_aboveJZB150",doPF,true);
866	>	//   stringstream jzbcut3;
867	>	//   jzbcut3 << "((is_data&&("<<datajzb<<")>50)||(!is_data&&("<<mcjzb<<")>50))";
868	>	//   make_kin_plot("mll",jzbcut3.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_aboveJZB50",doPF,true);
869	>	//   make_kin_plot("mll",jzbcut3.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_osof_aboveJZB50",doPF,true,true);
870	>	//   make_kin_plot("mll",jzbcut3.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_ee_aboveJZB50",doPF,true);
871	>	//   make_kin_plot("mll",jzbcut3.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_mm_aboveJZB50",doPF,true);
872	>
873	>	//   make_kin_plot("mll","met[4]>100",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV] (MET>100GeV)","mll_met100_ll",doPF,true);
874	>	//make_kin_plot("mll","met[4]>150&&id1==0",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ee} [GeV] (MET>150GeV)","mll_met150_ee",doPF,true);
875	>	//make_kin_plot("mll","met[4]>150&&id1==1",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{#mu#mu} [GeV] (MET>150GeV)","mll_met150_mm",doPF,true);
876	>	}
877	>
878	>	//   make_special_obs_pred_mll_plot(datajzb,mcjzb,0);
879	>	//   make_special_obs_pred_mll_plot(datajzb,mcjzb,50);
880	>	//   make_special_obs_pred_mll_plot(datajzb,mcjzb,80);
881	>	//   make_special_obs_pred_mll_plot(datajzb,mcjzb,100);
882	>	//   make_special_obs_pred_mll_plot(datajzb,mcjzb,150);
883	>	//   make_special_obs_pred_mll_plot(datajzb,mcjzb,200);
884	>	//   make_special_obs_pred_mll_plot(datajzb,mcjzb,250);
885	>
886	>	//   make_JES_plot(cutmass&&cutOSSF&&basiccut,"_ossf");
887	>	//   make_JES_plot(cutmass&&cutOSOF&&basiccut,"_osof");
888	>
889		}
890
891		void make_comp_plot( string var, string xlabel, string filename, float jzbcut, string mcjzb, string datajzb,
892		int nbins, float xmin, float xmax, bool log,
893		float ymin=0, float ymax=0, bool leftJustified=false ) {
894	<	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- WATCH OUT: the argument in the function changed!
894	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- WATCH OUT: the argument in the function changed!
895
896		TCut weightbackup=cutWeight;//backing up the correct weight (restoring below!)
897		if(weightbackup==TCut("1.0")||weightbackup==TCut("1")) write_warning(__FUNCTION__,"WATCH OUT THE WEIGHT HAS POSSIBLY NOT BEEN RESET!!!! PLEASE CHANGE LINE "+any2string(__LINE__));
898	<	if(var=="numVtx") cutWeight=TCut("1.0");
898	>	//if(var=="numVtx") cutWeight=TCut("1.0");
899		TCut jzbData[]= { TCut(TString(datajzb+">"+any2string(jzbcut))),TCut(TString(datajzb+"<-"+any2string(jzbcut))) };
900		TCut jzbMC[]  = { TCut(TString(mcjzb+">"+any2string(jzbcut))),TCut(TString(mcjzb+"<-"+any2string(jzbcut))) };
901
902		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- below: the next ~20 lines changed!
903		int nRegions=4;
904	<	if(!PlottingSetup::RestrictToMassPeak) {
904	>	if(!PlottingSetup::RestrictToMassPeak||!PlottingSetup::UseSidebandsForcJZB) {
905		nRegions=2;
906		}
907
#	Line 404 | Line 919 | void make_comp_plot( string var, string
919		TCanvas *ccomp = new TCanvas("ccomp","Comparison plot",600,400);
920		ccomp->SetLogy(log);
921		TH1F *datahisto = allsamples.Draw("datahisto",   var,nbins,xmin,xmax,xlabel,"events",kRegions[iregion]&&jzbData[ijzb],data,luminosity);
922	<	TH1F *lm4histo = signalsamples.Draw("lm4histo",   var,nbins,xmin,xmax,xlabel,"events",kRegions[iregion]&&jzbData[ijzb],data,luminosity,signalsamples.FindSample("LM4"));
922	>	TH1F *lm3histo  = signalsamples.Draw("lm3histo",   var,nbins,xmin,xmax,xlabel,"events",kRegions[iregion]&&jzbMC[ijzb],data,luminosity,signalsamples.FindSample("LM3"));
923		THStack mcstack = allsamples.DrawStack("mcstack",var,nbins,xmin,xmax,xlabel,"events",kRegions[iregion]&&jzbMC[ijzb],  mc,  luminosity);
924		datahisto->SetMarkerSize(DataMarkerSize);
925		if (ymax>ymin) datahisto->SetMaximum(ymax);
926	<	lm4histo->SetLineStyle(2);
926	>	lm3histo->SetLineStyle(2);
927		datahisto->Draw("e1");
928		mcstack.Draw("same");
929		datahisto->Draw("same,e1");
930	<	//      lm4histo->Draw("hist,same");
930	>	lm3histo->Draw("hist,same");
931		TLegend *kinleg = allsamples.allbglegend((sRegions[iregion]+(ijzb?"neg":"pos")).c_str());
932		if ( leftJustified ) {
933		Float_t w = kinleg->GetX2()-kinleg->GetX1();
934		kinleg->SetX1(0.2);
935		kinleg->SetX2(0.2+w);
936		}
937	<	//      kinleg->AddEntry(lm4histo,"LM4","l");
937	>	kinleg->AddEntry(lm3histo,"LM3","l");
938		kinleg->Draw();
939		TText* write_variable = write_text(0.99,0.01,var);
940		write_variable->SetTextAlign(31);
#	Line 428 | Line 943 | void make_comp_plot( string var, string
943		CompleteSave(ccomp,"compare/JZBcut_at_"+any2string(jzbcut)+"/"+filename+"/"+filename+sRegions[iregion]+(ijzb?"neg":"pos"));
944		delete datahisto;
945		delete ccomp;
946	<	delete lm4histo;
946	>	delete lm3histo;
947		}
948		cutWeight=weightbackup;
949		}
#	Line 438 | Line 953 | void region_comparison_plots(string mcjz
953		dout << "Creating comparison plots for signal and control regions" << endl;
954		// Compare a few quantities in the signal region and all 7 control regions
955
956	<	switch_overunderflow(true);  // switching overflow/underflow bins on
956	>	//  switch_overunderflow(true);  // switching overflow/underflow bins on
957
958
959		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- the arguments changed
960	<	for(int ijzb=0;ijzb<jzb_cuts.size();ijzb++) {
960	>	for(int ijzb=0;ijzb<(int)jzb_cuts.size();ijzb++) {
961		float jzbcut=jzb_cuts[ijzb]; // Comparison plots are done for this JZB cut
962		float mll_low=50;float mll_high=170;
963		if(!PlottingSetup::RestrictToMassPeak) {
964	<	mll_high=200;
965	<	mll_low=50;
964	>	mll_high=300;
965	>	mll_low=20;
966		}
967	<	make_comp_plot("mll","m_{ll} [GeV]","mll",jzbcut,mcjzb,datajzb,30,mll_low,mll_high,false,0,16.);
967	>	make_comp_plot("pfJetGoodPt[0]/pfJetGoodPt[1]","pt_{j}^{1}/pt_{j}^{2}","j1j2ratio",jzbcut,mcjzb,datajzb,100,0,10,true);
968	>	make_comp_plot("TMath::Abs(pfJetDphiMet[0])","|#Delta#phi(jet1,MET)|","dphiJ1MET",jzbcut,mcjzb,datajzb,32,0,3.2,false,0,0,true);
969	>
970	>	make_comp_plot("mll","m_{ll} [GeV]","mll",jzbcut,mcjzb,datajzb,56,mll_low,mll_high,false,0,16.);
971		make_comp_plot("met[4]","pfMET [GeV]","pfmet",jzbcut,mcjzb,datajzb,18,0,360,false,0,16.);
972	<	make_comp_plot("pfJetGoodNum","#(jets)","njets",jzbcut,mcjzb,datajzb,10,0,10, false,0,35.);
972	>	make_comp_plot("pfJetGoodNum40","#(jets)","njets",jzbcut,mcjzb,datajzb,10,0,10, false,0,35.);
973	>	make_comp_plot("pfJetGoodNumBtag","#(b-jets)","nBjets",jzbcut,mcjzb,datajzb,10,0,10, false,0,35.);
974		make_comp_plot("pt","Z p_{T} [GeV]","Zpt",jzbcut,mcjzb,datajzb,26,0,525,false,0.,21.);
975	<	make_comp_plot("numVtx","#(prim. vertices)","nvtx",jzbcut,mcjzb,datajzb,20,0.,20.,false,0,16.);
975	>	make_comp_plot("numVtx","#(prim. vertices)","nvtx",jzbcut,mcjzb,datajzb,40,0.,40.,false,0,16.);
976		make_comp_plot("TMath::Abs(dphi)","#Delta#phi(leptons)","dphilep",jzbcut,mcjzb,datajzb,10,0.,3.1415,false,0,16.,true);
977		make_comp_plot("TMath::Abs(dphi_sumJetVSZ[1])","#Delta#phi(Z,jets)","dphiZjets",jzbcut,mcjzb,datajzb,10,0.,3.1415,false,0,16.,true);
978	+	make_comp_plot("eta1","#eta_1","eta1",jzbcut,mcjzb,datajzb,10,0.,2.5,false,0,16.);
979	+	make_comp_plot("eta2","#eta_2","eta2",jzbcut,mcjzb,datajzb,10,0.,2.5,false,0,16.);
980		}
981
982		switch_overunderflow(false); // switching overflow/underflow bins off
#	Line 480 | Line 1001 | void signal_bg_comparison()
1001		float simulatedlumi=luminosity;//in pb please - adjust to your likings
1002
1003		TH1F *JZBplotZJETs = allsamples.Draw("JZBplotZJETs",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("/DY"));
1004	<	TH1F *JZBplotLM4 = allsamples.Draw("JZBplotLM4",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("LM4"));
1004	>	TH1F *JZBplotLM4;
1005	>	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"));
1006	>	else JZBplotLM4 = allsamples.Draw("JZBplotLM4",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("LM3"));
1007		TH1F *JZBplotTtbar = allsamples.Draw("JZBplotTtbar",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("TTJets"));
1008
1009		JZBplotTtbar->SetLineColor(allsamples.GetColor("TTJet"));
#	Line 504 | Line 1027 | void signal_bg_comparison()
1027		TLegend *signal_bg_comparison_leg2 =  make_legend("",0.55,0.75,false);
1028		signal_bg_comparison_leg2->AddEntry(JZBplotZJETs,"Z+Jets","f");
1029		signal_bg_comparison_leg2->AddEntry(JZBplotTtbar,"t#bar{t}","f");
1030	<	signal_bg_comparison_leg2->AddEntry(JZBplotLM4,"LM4","f");
1030	>	if(PlottingSetup::RestrictToMassPeak) signal_bg_comparison_leg2->AddEntry(JZBplotLM4,"LM4","f");
1031	>	else signal_bg_comparison_leg2->AddEntry(JZBplotLM4,"LM3","f");
1032		signal_bg_comparison_leg2->Draw();
1033		DrawMCPrelim(simulatedlumi);
1034		CompleteSave(can,"jzb_bg_vs_signal_distribution");
#	Line 651 | Line 1175 | vector<TF1*> do_extended_fit_to_plot(TH1
1175		//      the line above is not necessary anymore as we're now looking at a prediction without Z+Jets, and not multiplied with (1.0/3)
1176		TF1 *ttbarlogpar = do_logpar_fit_to_plot(Tprediction);
1177		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1178	<	if(PlottingSetup::RestrictToMassPeak) ttbarlogpar->SetParameter(0,1.0/3*ttbarlogpar->GetParameter(0));//correcting for the fact that we didn't multiply with (1.0/3);
1178	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) ttbarlogpar->SetParameter(0,1.0/3*ttbarlogpar->GetParameter(0));//correcting for the fact that we didn't multiply with (1.0/3);
1179
1180
1181		TF1 *ttbarlogparP = new TF1("ttbarlogparP",LogParabolaP,0,(prediction->GetXaxis()->GetBinLowEdge(prediction->GetNbinsX())+prediction->GetXaxis()->GetBinWidth(prediction->GetNbinsX())),8);
#	Line 746 | Line 1270 | if you want to start from scratch (witho
1270		return return_functions;
1271		}
1272
1273	<	void do_prediction_plot(string jzb, TCanvas *globalcanvas, float sigma, float high, int use_data, bool overlay_signal = false )
1273	>	void do_prediction_plot(string jzb, TCanvas *globalcanvas, float high, int use_data, bool overlay_signal = false,string subdir="" )
1274		{
1275	+	//  switch_overunderflow(true);
1276		bool is_data=false;
1277		bool use_signal=false;
1278		if(use_data==1) is_data=true;
#	Line 756 | Line 1281 | void do_prediction_plot(string jzb, TCan
1281		if(is_data) nbins=50;
1282		float low=0;
1283		float hi=500;
1284	+
1285		TH1F *blankback = new TH1F("blankback","blankback",int(high/10),0,high);
1286		TH1F *RcorrJZBeemm   = allsamples.Draw("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1287		TH1F *LcorrJZBeemm   = allsamples.Draw("LcorrJZBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1288		TH1F *RcorrJZBem     = allsamples.Draw("RcorrJZBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1289		TH1F *LcorrJZBem     = allsamples.Draw("LcorrJZBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1290	+
1291		blankback->GetXaxis()->SetTitle(RcorrJZBeemm->GetXaxis()->GetTitle());
1292		blankback->GetYaxis()->SetTitle(RcorrJZBeemm->GetYaxis()->GetTitle());
1293		blankback->GetXaxis()->CenterTitle();
#	Line 775 | Line 1302 | void do_prediction_plot(string jzb, TCan
1302		TH1F *RcorrJZBeemmNoS;
1303
1304		//these are for the ratio
1305	+
1306		TH1F *JRcorrJZBeemm   = allsamples.Draw("JRcorrJZBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1307		TH1F *JLcorrJZBeemm   = allsamples.Draw("JLcorrJZBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1308		TH1F *JRcorrJZBem     = allsamples.Draw("JRcorrJZBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
#	Line 788 | Line 1316 | void do_prediction_plot(string jzb, TCan
1316		if(use_data==2 || overlay_signal) RcorrJZBeemmNoS = allsamples.Draw("RcorrJZBeemmNoS",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,false);
1317
1318
1319	<	if(PlottingSetup::RestrictToMassPeak) {
1319	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
1320		RcorrJZBSBem   = allsamples.Draw("RcorrJZBSBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1321		LcorrJZBSBem   = allsamples.Draw("LcorrJZBSBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1322		RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1323		LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1324	<
1324	>
1325		//these are for the ratio
1326		JRcorrJZBSBem   = allsamples.Draw("JRcorrJZBSBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1327		JLcorrJZBSBem   = allsamples.Draw("JLcorrJZBSBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1328		JRcorrJZBSBeemm = allsamples.Draw("JRcorrJZBSBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1329		JLcorrJZBSBeemm = allsamples.Draw("JLcorrJZBSBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
802	–
1330		}
1331
1332		TH1F *lm4RcorrJZBeemm;
1333	<	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"));
1333	>	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"));
1334
1335		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- prediction changed.
1336
#	Line 812 | Line 1339 | void do_prediction_plot(string jzb, TCan
1339
1340		TH1F *Bpred = (TH1F*)LcorrJZBeemm->Clone("Bpred");
1341		TH1F *JBpred = (TH1F*)JLcorrJZBeemm->Clone("Bpred");
1342	<	if(PlottingSetup::RestrictToMassPeak) {
1342	>
1343	>	TH1F *BpredSys = new TH1F("Bpredsys","Bpredsys",PlottingSetup::global_ratio_binning.size()-1,&PlottingSetup::global_ratio_binning[0]);
1344	>	ClearHisto(BpredSys);
1345	>
1346	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
1347		Bpred->Add(RcorrJZBem,1.0/3.);
1348		Bpred->Add(LcorrJZBem,-1.0/3.);
1349		Bpred->Add(RcorrJZBSBem,1.0/3.);
#	Line 834 | Line 1365 | void do_prediction_plot(string jzb, TCan
1365		JBpred->Add(JLcorrJZBSBem,-1.0/3.);
1366		JBpred->Add(JRcorrJZBSBeemm,1.0/3.);
1367		JBpred->Add(JLcorrJZBSBeemm,-1.0/3.);
1368	+
1369	+	//Systematics:
1370	+	AddSquared(BpredSys,JLcorrJZBeemm,zjetsestimateuncertONPEAK*zjetsestimateuncertONPEAK);
1371	+	AddSquared(BpredSys,JRcorrJZBem,emuncertONPEAK*emuncertONPEAK*(1.0/9));
1372	+	AddSquared(BpredSys,JLcorrJZBem,emuncertONPEAK*emuncertONPEAK*(1.0/9));
1373	+	AddSquared(BpredSys,JRcorrJZBSBem,emsidebanduncertONPEAK*emsidebanduncertONPEAK*(1.0/9));
1374	+	AddSquared(BpredSys,JLcorrJZBSBem,emsidebanduncertONPEAK*emsidebanduncertONPEAK*(1.0/9));
1375	+	AddSquared(BpredSys,JRcorrJZBSBeemm,eemmsidebanduncertONPEAK*eemmsidebanduncertONPEAK*(1.0/9));
1376	+	AddSquared(BpredSys,JLcorrJZBSBeemm,eemmsidebanduncertONPEAK*eemmsidebanduncertONPEAK*(1.0/9));
1377		} else {
1378		Bpred->Add(RcorrJZBem,1.0);
1379		Bpred->Add(LcorrJZBem,-1.0);
#	Line 843 | Line 1383 | void do_prediction_plot(string jzb, TCan
1383		//these are for the ratio
1384		JBpred->Add(JRcorrJZBem,1.0);
1385		JBpred->Add(JLcorrJZBem,-1.0);
1386	+
1387	+	//Systematics
1388	+	AddSquared(BpredSys,JLcorrJZBeemm,zjetsestimateuncertOFFPEAK*zjetsestimateuncertOFFPEAK);
1389	+	AddSquared(BpredSys,JRcorrJZBem,emuncertOFFPEAK*emuncertOFFPEAK);
1390	+	AddSquared(BpredSys,JLcorrJZBem,emuncertOFFPEAK*emuncertOFFPEAK);
1391	+
1392		}
1393
1394	<
1394	>	SQRT(BpredSys);
1395	>	BpredSys->Divide(JBpred);
1396	>
1397
1398		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- prediction changed
1399		TH1F *Tpred = (TH1F*)RcorrJZBem->Clone("Bpred");
1400		Tpred->Add(LcorrJZBem,-1.0);
1401	<	if(PlottingSetup::RestrictToMassPeak) {
1401	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
1402		Tpred->Add(RcorrJZBSBem,1.0);
1403		Tpred->Add(LcorrJZBSBem,-1.0);
1404		Tpred->Add(RcorrJZBSBeemm,1.0);
#	Line 890 | Line 1438 | void do_prediction_plot(string jzb, TCan
1438		blankback->Draw();
1439		if(use_data==1)
1440		{
1441	+	//Bpred->SetLineWidth(3); //paper style.overruled.
1442	+	//lm4RcorrJZBeemm->SetLineWidth(3); //paper style.overruled.
1443		analytical_function = do_extended_fit_to_plot(Bpred,Tpred,LcorrJZBeemm,LcorrJZBem,is_data);
1444		kinpad->cd();//necessary because the extended fit function creates its own canvas
1445		RcorrJZBeemm->Draw("e1x0,same");
1446
1447		Bpred->Draw("hist,same");
1448	<	analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1448	>	//analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1449		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1450	+	lm4RcorrJZBeemm->Draw("hist,same");
1451		legBpred->AddEntry(RcorrJZBeemm,"observed","p");
1452		legBpred->AddEntry(Bpred,"predicted","l");
1453	<	legBpred->AddEntry(analytical_function[1],"predicted fit","l");
1454	<	legBpred->AddEntry(analytical_function[2],"stat. uncert.","l");
1455	<	if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1453	>	//    legBpred->AddEntry(analytical_function[1],"predicted fit","l");
1454	>	//    legBpred->AddEntry(analytical_function[2],"stat. uncert.","l");
1455	>	legBpred->AddEntry(lm4RcorrJZBeemm,(allsamples.collection[allsamples.FindSample("LM")[0]].samplename).c_str(),"l");
1456		legBpred->Draw();
1457		DrawPrelim();
1458
1459		//this plot shows what the prediction is composed of
1460	<	TCanvas *specialcanv = new TCanvas("specialcanv","specialcanv");
1461	<	specialcanv->SetLogy(1);
1462	<	Zjetspred->SetFillColor(kYellow);
1463	<	Zjetspred->SetLineColor(kYellow);
1464	<	TTbarpred->SetFillColor(allsamples.GetColor((allsamples.FindSample("TTJets"))[0]));
1465	<	TTbarpred->SetLineColor(allsamples.GetColor((allsamples.FindSample("TTJets"))[0]));
1460	>	TPad *predcomppad = new TPad("predcomppad","predcomppad",0,0,1,1);
1461	>	float CurrentBpredLineWidth=Bpred->GetLineWidth();
1462	>	Bpred->SetLineWidth(2);
1463	>	predcomppad->cd();
1464	>	predcomppad->SetLogy(1);
1465	>
1466	>	TH1F *jzbnegative = (TH1F*)LcorrJZBeemm->Clone("jzbnegative");
1467	>	TH1F *sidebandsemu = (TH1F*)Bpred->Clone("sidebandsemu");
1468	>	sidebandsemu->Add(jzbnegative,-1);
1469	>
1470	>	jzbnegative->SetFillColor(allsamples.GetColor((allsamples.FindSample("DY"))[0]));
1471	>	jzbnegative->SetLineColor(allsamples.GetColor((allsamples.FindSample("DY"))[0]));
1472	>	sidebandsemu->SetLineColor(allsamples.GetColor((allsamples.FindSample("TTJets"))[0]));
1473	>	sidebandsemu->SetFillColor(allsamples.GetColor((allsamples.FindSample("TTJets"))[0]));
1474	>
1475		THStack predcomposition("predcomposition","prediction composition");
1476	<	predcomposition.Add(TTbarpred);
1477	<	predcomposition.Add(Zjetspred);
1476	>	predcomposition.Add(sidebandsemu);
1477	>	predcomposition.Add(jzbnegative);
1478		blankback->Draw();
1479		RcorrJZBeemm->Draw("e1x0,same");
1480		predcomposition.Draw("histo,same");//
1481		Bpred->Draw("hist,same");
1482	<	analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1482	>	//    analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1483		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1484	<	legBpred->Draw();
1484	>	//    lm4RcorrJZBeemm->SetLineColor(kOrange+1);
1485	>	lm4RcorrJZBeemm->SetLineWidth(2);
1486	>	//lm4RcorrJZBeemm->SetLineWidth(2); // paper style. overruled.
1487	>	lm4RcorrJZBeemm->Draw("histo,same");
1488		DrawPrelim();
1489	<	TLegend *specialleg = new TLegend(0.6,0.4,0.89,0.55);
1490	<	specialleg->SetFillColor(kWhite);specialleg->SetLineColor(kWhite);
1491	<	specialleg->AddEntry(Zjetspred,"Z+Jets prediction","f");
1492	<	specialleg->AddEntry(TTbarpred,"t#bar{t} prediction","f");
1493	<	specialleg->Draw("same");
1494	<	CompleteSave(specialcanv,"Bpred_Data_____PredictionComposition");
1495	<
1496	<	THStack kostack = allsamples.DrawStack("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,!is_data, luminosity,use_signal);
1489	>	TLegend *speciallegBpred = make_legend("",0.45,0.55);
1490	>	//TLegend *speciallegBpred = make_legend("",0.35,0.55); // paper style. overruled.
1491	>	speciallegBpred->AddEntry(RcorrJZBeemm,"Data","pl");
1492	>	speciallegBpred->AddEntry(Bpred,"Total background","l");
1493	>	speciallegBpred->AddEntry(jzbnegative,"JZB<0 (data)","f");
1494	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) speciallegBpred->AddEntry(sidebandsemu,"Sidebands/e#mu (data)","f");
1495	>	else speciallegBpred->AddEntry(sidebandsemu,"e#mu (data)","f");
1496	>	//    speciallegBpred->AddEntry(lm4RcorrJZBeemmC,"LM4","l");
1497	>	speciallegBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1498	>	speciallegBpred->Draw();
1499	>	save_with_ratio(JRcorrJZBeemm,JBpred,predcomppad,subdir+"Bpred_Data_____PredictionComposition",true,true,"data/pred",BpredSys);
1500	>
1501	>	TCanvas *specialcanv = new TCanvas("specialcanv","specialcanv");
1502	>	specialcanv->SetLogy(1);
1503	>	//    THStack kostack = allsamples.DrawStack("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,!is_data, luminosity,use_signal);
1504		blankback->Draw();
1505	<	kostack.Draw("same");
1505	>	//    kostack.Draw("same");
1506	>	predcomposition.Draw();
1507		Bpred->Draw("hist,same");
1508	<	analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1508	>	//analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1509		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1510		legBpred->Draw();
1511		DrawPrelim();
1512	<	CompleteSave(specialcanv,"Bpred_Data_____PredictionCompositioninMC");
1512	>	CompleteSave(specialcanv,subdir+"Bpred_Data_____PredictionCompositioninMC");
1513	>	Bpred->SetLineWidth((int)CurrentBpredLineWidth);
1514
1515	<	delete specialcanv;
1516	<	delete specialleg;
1515	>
1516	>	//for(int i=1;i<=Bpred->GetNbinsX();i++) cout << Bpred->GetBinLowEdge(i) << ";" << Bpred->GetBinLowEdge(i)+Bpred->GetBinWidth(i) << ";;" << RcorrJZBeemm->GetBinContent(i) << ";" << LcorrJZBeemm->GetBinContent(i) << ";" << RcorrJZBem->GetBinContent(i) << ";" << LcorrJZBem->GetBinContent(i) << endl;
1517	>
1518	>	delete speciallegBpred;
1519		delete Zjetspred;
1520		delete TTbarpred;
1521
#	Line 949 | Line 1523 | void do_prediction_plot(string jzb, TCan
1523		}
1524		if(use_data==0) {
1525		RcorrJZBeemm->Draw("e1x0,same");
1526	+	//Bpred->SetLineWidth(3); // paper style. overruled.
1527		Bpred->Draw("hist,same");
1528		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1529	<	legBpred->AddEntry(RcorrJZBeemm,"MC observed","p");
1530	<	legBpred->AddEntry(Bpred,"MC predicted","l");
1529	>	legBpred->AddEntry(RcorrJZBeemm,"MC true","p");
1530	>	legBpred->AddEntry(Bpred,"MC predicted","l");
1531		if(versok) legBpred->AddEntry((TObject*)0,"",""); // Just for alignment // causes seg fault on root v5.18
1532		if(versok) legBpred->AddEntry((TObject*)0,"",""); // causes seg fault on root v5.18
1533		if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
#	Line 963 | Line 1538 | void do_prediction_plot(string jzb, TCan
1538		}
1539		if(use_data==2) {
1540		RcorrJZBeemm->Draw("e1x0,same");
1541	+	//Bpred->SetLineWidth(3); // paper style. overruled.
1542		Bpred->Draw("hist,same");
1543		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1544	<	legBpred->AddEntry(RcorrJZBeemm,"MC observed","p");
1544	>	legBpred->AddEntry(RcorrJZBeemm,"MC true","p");
1545		legBpred->AddEntry(Bpred,"MC predicted","l");
1546	<	legBpred2->AddEntry(RcorrJZBeemm,"MC observed","p");
1546	>	legBpred2->AddEntry(RcorrJZBeemm,"MC true","p");
1547		legBpred2->AddEntry(Bpred,"MC predicted","l");
1548		{
1549		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 1554 | void do_prediction_plot(string jzb, TCan
1554		//      CompleteSave(globalcanvas,"Bpred_MCwithS"); // done below in save_with_ratio
1555		}
1556		{
1557	+	//lm4RcorrJZBeemm->SetLineWidth(3); //paper style. overruled.
1558	+	//RcorrJZBeemmNoS->SetLineWidth(3); //paper style. overruled.
1559	+	//lm4RcorrJZBeemm->SetLineStyle(2); //paper style. overruled.
1560	+	//RcorrJZBeemmNoS->SetLineStyle(3); //paper style. overruled.
1561	+	//lm4RcorrJZBeemm->SetLineColor(kOrange+1); //paper style. overruled.
1562	+
1563		RcorrJZBeemmNoS->SetLineStyle(2);
1564		legBpred2->AddEntry(RcorrJZBeemmNoS,"MC B","l");
1565		legBpred2->AddEntry(lm4RcorrJZBeemm,"MC S","l");
#	Line 996 | Line 1578 | void do_prediction_plot(string jzb, TCan
1578		//3rd last argument: do special bpred ratio, 2nd last argument: extended range!, last: y-axis title
1579		string ytitle("ratio");
1580		if ( use_data==1 ) ytitle = "data/pred";
1581	<	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,Bpredsaveas,true,use_data!=1,ytitle);
1581	>	//save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,Bpredsaveas,true,use_data!=1,ytitle);
1582	>	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,subdir+Bpredsaveas,true,false,ytitle,BpredSys);//not extending the y range anymore up to 4
1583
1584
1585		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1586	<	/// The part below is meaningless for the offpeak analysis (it's a comparison of the different estimates but there is but one estimate!)
1587	<	if(!PlottingSetup::RestrictToMassPeak) return;
1588	<	TH1F *Bpredem = (TH1F*)LcorrJZBeemm->Clone("Bpredem");
1589	<	Bpredem->Add(RcorrJZBem);
1590	<	Bpredem->Add(LcorrJZBem,-1);
1591	<	TH1F *BpredSBem = (TH1F*)LcorrJZBeemm->Clone("BpredSBem");
1592	<	BpredSBem->Add(RcorrJZBSBem);
1593	<	Bpred->Add(LcorrJZBSBem,-1);
1594	<	TH1F *BpredSBeemm = (TH1F*)LcorrJZBeemm->Clone("BpredSBeemm");
1595	<	BpredSBeemm->Add(RcorrJZBSBeemm);
1596	<	BpredSBeemm->Add(LcorrJZBSBeemm,-1.0);
1597	<	globalcanvas->cd();
1598	<	globalcanvas->SetLogy(1);
1599	<
1600	<	RcorrJZBeemm->SetMarkerStyle(20);
1601	<	RcorrJZBeemm->GetXaxis()->SetRangeUser(0,high);
1602	<	blankback->Draw();
1603	<	RcorrJZBeemm->Draw("e1x0,same");
1604	<	RcorrJZBeemm->SetMarkerSize(DataMarkerSize);
1605	<
1606	<	Bpredem->SetLineColor(kRed+1);
1607	<	Bpredem->SetStats(0);
1608	<	Bpredem->Draw("hist,same");
1609	<
1610	<	BpredSBem->SetLineColor(kGreen+2);//TColor::GetColor("#0B6138"));
1611	<	BpredSBem->SetLineStyle(2);
1612	<	BpredSBem->Draw("hist,same");
1613	<
1614	<	BpredSBeemm->SetLineColor(kBlue+1);
1615	<	BpredSBeemm->SetLineStyle(3);
1616	<	BpredSBeemm->Draw("hist,same");
1617	<	RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1618	<
1619	<	TLegend *legBpredc = make_legend("",0.6,0.55);
1620	<	if(use_data==1)
1621	<	{
1622	<	legBpredc->AddEntry(RcorrJZBeemm,"observed","p");
1623	<	legBpredc->AddEntry(Bpredem,"OFZP","l");
1624	<	legBpredc->AddEntry(BpredSBem,"OFSB","l");
1625	<	legBpredc->AddEntry(BpredSBeemm,"SFSB","l");
1626	<	legBpredc->Draw();
1627	<	CompleteSave(globalcanvas,"Bpred_Data_comparison");
1628	<	}
1629	<	if(use_data==0) {
1630	<	legBpredc->AddEntry(RcorrJZBeemm,"MC observed","p");
1631	<	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1632	<	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1633	<	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1634	<	legBpredc->Draw();
1635	<	CompleteSave(globalcanvas,"Bpred_MC_comparison");
1636	<	}
1637	<	if(use_data==2) {
1638	<	legBpredc->AddEntry(RcorrJZBeemm,"MC observed","p");
1639	<	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1640	<	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1641	<	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1642	<	if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1643	<	legBpredc->Draw();
1644	<	CompleteSave(globalcanvas,"Bpred_MCwithS_comparison");
1586	>	// The part below is meaningless for the offpeak analysis (it's a comparison of the different estimates but there is but one estimate!)
1587	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
1588	>	TH1F *Bpredem = (TH1F*)LcorrJZBeemm->Clone("Bpredem");
1589	>	Bpredem->Add(RcorrJZBem);
1590	>	Bpredem->Add(LcorrJZBem,-1);
1591	>	TH1F *BpredSBem = (TH1F*)LcorrJZBeemm->Clone("BpredSBem");
1592	>	BpredSBem->Add(RcorrJZBSBem);
1593	>	Bpred->Add(LcorrJZBSBem,-1);
1594	>	TH1F *BpredSBeemm = (TH1F*)LcorrJZBeemm->Clone("BpredSBeemm");
1595	>	BpredSBeemm->Add(RcorrJZBSBeemm);
1596	>	BpredSBeemm->Add(LcorrJZBSBeemm,-1.0);
1597	>	globalcanvas->cd();
1598	>	globalcanvas->SetLogy(1);
1599	>
1600	>	RcorrJZBeemm->SetMarkerStyle(20);
1601	>	RcorrJZBeemm->GetXaxis()->SetRangeUser(0,high);
1602	>	blankback->Draw();
1603	>	RcorrJZBeemm->Draw("e1x0,same");
1604	>	RcorrJZBeemm->SetMarkerSize(DataMarkerSize);
1605	>
1606	>	Bpredem->SetLineColor(kRed+1);
1607	>	Bpredem->SetStats(0);
1608	>	Bpredem->Draw("hist,same");
1609	>
1610	>	BpredSBem->SetLineColor(kGreen+2);//TColor::GetColor("#0B6138"));
1611	>	BpredSBem->SetLineStyle(2);
1612	>	BpredSBem->Draw("hist,same");
1613	>
1614	>	BpredSBeemm->SetLineColor(kBlue+1);
1615	>	BpredSBeemm->SetLineStyle(3);
1616	>	BpredSBeemm->Draw("hist,same");
1617	>	RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1618	>
1619	>	TLegend *legBpredc = make_legend("",0.6,0.55);
1620	>	if(use_data==1)
1621	>	{
1622	>	legBpredc->AddEntry(RcorrJZBeemm,"observed","p");
1623	>	legBpredc->AddEntry(Bpredem,"OFZP","l");
1624	>	legBpredc->AddEntry(BpredSBem,"OFSB","l");
1625	>	legBpredc->AddEntry(BpredSBeemm,"SFSB","l");
1626	>	legBpredc->Draw();
1627	>	CompleteSave(globalcanvas,subdir+"Bpred_Data_comparison");
1628	>	}
1629	>	if(use_data==0) {
1630	>	legBpredc->AddEntry(RcorrJZBeemm,"MC true","p");
1631	>	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1632	>	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1633	>	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1634	>	legBpredc->Draw();
1635	>	CompleteSave(globalcanvas,subdir+"Bpred_MC_comparison");
1636	>	}
1637	>	if(use_data==2) {
1638	>	legBpredc->AddEntry(RcorrJZBeemm,"MC true","p");
1639	>	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1640	>	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1641	>	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1642	>	if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1643	>	legBpredc->Draw();
1644	>	CompleteSave(globalcanvas,subdir+"Bpred_MCwithS_comparison");
1645	>	}
1646		}
1647	+
1648	+	TFile *f = new TFile("tester.root","RECREATE");
1649	+	RcorrJZBeemm->Write();
1650	+	Bpred->Write();
1651	+	f->Close();
1652	+
1653		delete RcorrJZBeemm;
1654		delete LcorrJZBeemm;
1655		delete RcorrJZBem;
#	Line 1072 | Line 1662 | void do_prediction_plot(string jzb, TCan
1662
1663		delete blankback;
1664
1665	<	if(PlottingSetup::RestrictToMassPeak) {
1665	>	delete BpredSys;
1666	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
1667		delete RcorrJZBSBem;
1668		delete LcorrJZBSBem;
1669		delete RcorrJZBSBeemm;
#	Line 1084 | Line 1675 | void do_prediction_plot(string jzb, TCan
1675		delete JLcorrJZBSBeemm;
1676		}
1677		if(overlay_signal || use_data==2) delete lm4RcorrJZBeemm;
1678	+	switch_overunderflow(false);
1679		}
1680
1681		void do_prediction_plots(string mcjzb, string datajzb, float DataSigma, float MCSigma, bool overlay_signal ) {
1682		TCanvas *globalcanvas = new TCanvas("globalcanvas","Prediction Canvas");
1683	<	do_prediction_plot(datajzb,globalcanvas,DataSigma,jzbHigh ,data,overlay_signal);
1684	<	do_prediction_plot(mcjzb,globalcanvas,MCSigma,jzbHigh ,mc,overlay_signal);
1685	<	do_prediction_plot(mcjzb,globalcanvas,MCSigma,jzbHigh ,mcwithsignal,overlay_signal);
1683	>	do_prediction_plot(datajzb,globalcanvas,jzbHigh ,data,overlay_signal);
1684	>	if ( !PlottingSetup::Approved ) {
1685	>	do_prediction_plot(mcjzb,globalcanvas,jzbHigh ,mc,overlay_signal);
1686	>	do_prediction_plot(mcjzb,globalcanvas,jzbHigh ,mcwithsignal,overlay_signal);
1687	>	} else {
1688	>	write_info(__FUNCTION__,"You set approved to true, therefore not producing prediction/observation plots for MC with and without signal.");
1689	>	}
1690		}
1691
1692		void do_ratio_plot(int is_data,vector<float> binning, string jzb, TCanvas *can, float high=-9999) {
#	Line 1108 | Line 1704 | void do_ratio_plot(int is_data,vector<fl
1704		TH1F *RcorrJZBSBeemm;
1705		TH1F *LcorrJZBSbeemm;
1706
1707	<	if(PlottingSetup::RestrictToMassPeak) {
1707	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
1708		RcorrJZBSBem   = allsamples.Draw("RcorrJZBSbem",jzb.c_str(),binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,do_data, luminosity,dosignal);
1709		LcorrJZBSBem   = allsamples.Draw("LcorrJZBSbem",("-"+jzb).c_str(),binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,do_data, luminosity,dosignal);
1710		RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSbeemm",jzb.c_str(),binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,do_data, luminosity,dosignal);
#	Line 1120 | Line 1716 | void do_ratio_plot(int is_data,vector<fl
1716
1717		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1718		TH1F *Bpred = (TH1F*)LcorrJZBeemm->Clone("Bpred");
1719	<	if(PlottingSetup::RestrictToMassPeak) {
1719	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
1720		Bpred->Add(RcorrJZBem,1.0/3);
1721		Bpred->Add(LcorrJZBem,-1.0/3);
1722		Bpred->Add(RcorrJZBSBem,1.0/3);
#	Line 1427 | Line 2023 | void draw_pure_jzb_histo(TCut cut,string
2023		datahisto->Draw("same,e1");
2024
2025		TLegend *leg;
2026	<	if(is_OF(cut) && is_ZP(cut)) leg = allsamples.allbglegend("OFZP",datahisto);
2027	<	else if(!is_OF(cut) &&  is_ZP(cut)) leg = allsamples.allbglegend("SFZP",datahisto);
2028	<	else if( is_OF(cut) && !is_ZP(cut)) leg = allsamples.allbglegend("OFSB",datahisto);
2029	<	else if(!is_OF(cut) && !is_ZP(cut)) leg = allsamples.allbglegend("SFSB",datahisto);
2030	<	else {
2031	<	std::cerr << "Unable to decode cut: " << cut.GetTitle() << std::endl;
2032	<	exit(-1);
2033	<	}
2026	>	if (!PlottingSetup::RestrictToMassPeak||!PlottingSetup::UseSidebandsForcJZB) {
2027	>	if(is_OF(cut)) leg = allsamples.allbglegend("Opposite flavor",datahisto);
2028	>	else leg = allsamples.allbglegend("Same flavor",datahisto);
2029	>	} else {
2030	>	if(is_OF(cut) && is_ZP(cut)) leg = allsamples.allbglegend("OFZP",datahisto);
2031	>	else if(!is_OF(cut) &&  is_ZP(cut)) leg = allsamples.allbglegend("SFZP",datahisto);
2032	>	else if( is_OF(cut) && !is_ZP(cut)) leg = allsamples.allbglegend("OFSB",datahisto);
2033	>	else if(!is_OF(cut) && !is_ZP(cut)) leg = allsamples.allbglegend("SFSB",datahisto);
2034	>	else {
2035	>	std::cerr << "Unable to decode cut: " << cut.GetTitle() << std::endl;
2036	>	exit(-1);
2037	>	}
2038	>	}
2039		leg->Draw();
2040		string write_cut = decipher_cut(cut,"");
2041		TText *writeline1 = write_cut_on_canvas(write_cut.c_str());
2042		writeline1->SetTextSize(0.035);
2043		writeline1->Draw();
2044	<	save_with_ratio(datahisto,mcstack,jzbpad->cd(),("jzb/"+savename));
2044	>	if(!Contains(savename,"Dibosons")) save_with_ratio(datahisto,mcstack,jzbpad->cd(),("jzb/"+savename));
2045	>	else save_with_ratio(datahisto,mcstack,jzbpad->cd(),savename);
2046		TPad *jzbpad2 = new TPad("jzbpad2","jzbpad2",0,0,1,1);
2047		jzbpad2->cd();
2048		jzbpad2->SetLogy(1);
#	Line 1455 | Line 2057 | void draw_pure_jzb_histo(TCut cut,string
2057		writeline1->SetTextSize(0.035);
2058		writeline1->Draw();
2059		DrawPrelim();
2060	<	save_with_ratio(datahisto,mcstack,jzbpad2->cd(),("jzb/PositiveSideOnly/"+savename+""));
2060	>	if(!Contains(savename,"Dibosons")) save_with_ratio(datahisto,mcstack,jzbpad2->cd(),("jzb/PositiveSideOnly/"+savename+""));
2061	>	else save_with_ratio(datahisto,mcstack,jzbpad2->cd(),(savename+"__PosOnly"));
2062		datahisto->Delete();
2063		mcstack.Delete();
2064		}
#	Line 1463 | Line 2066 | void draw_pure_jzb_histo(TCut cut,string
2066		Double_t GausR(Double_t *x, Double_t *par) {
2067		return gRandom->Gaus(x[0],par[0]);
2068		}
2069	+
2070	+	void produce_stretched_jzb_plots(string mcjzb, string datajzb,vector<float> ratio_binning) {
2071	+	TCanvas *dican = new TCanvas("dican","JZB Plots Canvas");
2072	+	float max=jzbHigh ;
2073	+	float min=-120;
2074	+	int nbins=(int)((max-min)/5.0); // we want 5 GeV/bin
2075	+	int coarserbins=int(nbins/2.0);
2076	+	int rebinnedbins=int(nbins/4.0);
2077	+
2078	+	vector<float>binning;vector<float>coarse_binning;vector<float>coarsest_binning;
2079	+	for(int i=0;i<=nbins;i++)binning.push_back(min+i*(max-min)/((float)nbins));
2080	+	for(int i=0;i<=coarserbins;i++)coarse_binning.push_back(min+i*(max-min)/((float)coarserbins));
2081	+	for(int i=0;i<=rebinnedbins;i++)coarsest_binning.push_back(min+i*(max-min)/((float)rebinnedbins));
2082	+
2083	+	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_SFZP",dican,binning);
2084	+	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_OFZP",dican,binning);
2085	+	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"Dibosons/ee/jzb_OS_SFZP",dican,binning);
2086	+	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"Dibosons/mm/jzb_OS_SFZP",dican,binning);
2087	+	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"Dibosons/ee/jzb_OS_OFZP",dican,binning);
2088	+	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"Dibosons/mm/jzb_OS_OFZP",dican,binning);
2089	+	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_SFSB",dican,binning);
2090	+	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_OFSB",dican,binning);
2091	+
2092	+	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_SFZP_coarse",dican,coarse_binning);
2093	+	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_OFZP_coarse",dican,coarse_binning);
2094	+	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_SFSB_coarse",dican,coarse_binning);
2095	+	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_OFSB_coarse",dican,coarse_binning);
2096	+
2097	+	delete dican;
2098	+	}
2099	+
2100	+
2101	+	void diboson_plots(string mcjzb, string datajzb,vector<float> ratio_binning) {
2102	+	vector<int> SamplesToBeModified = allsamples.FindSampleBySampleName("WW/WZ/ZZ");
2103	+
2104	+	if(SamplesToBeModified.size()==0 || SamplesToBeModified[0]==-1) {
2105	+	write_error(__FUNCTION__,"Could not find any diboson samples - aborting diboson plots");
2106	+	return;
2107	+	}
2108	+
2109	+	float stretchfactor = 100.0;
2110	+	vector<string> labels;
2111	+
2112	+
2113	+	dout << "Going to increase the cross section for diboson samples ... " << endl;
2114	+	for(int i=0;i<(int)SamplesToBeModified.size();i++) {
2115	+	float origxs=(allsamples.collection)[SamplesToBeModified[i]].xs;
2116	+	(allsamples.collection)[SamplesToBeModified[i]].xs=origxs*stretchfactor;
2117	+	dout << "     Increased xs for sample " << (allsamples.collection)[SamplesToBeModified[i]].filename << " from " << origxs << " to " << (allsamples.collection)[SamplesToBeModified[i]].xs << " (by a factor of " << stretchfactor << ")" << endl;
2118	+	labels.push_back((allsamples.collection)[SamplesToBeModified[i]].samplename);
2119	+	(allsamples.collection)[SamplesToBeModified[i]].samplename=any2string(int(stretchfactor))+" x "+(allsamples.collection)[SamplesToBeModified[i]].samplename;
2120	+	dout << "         (also renamed it to " << (allsamples.collection)[SamplesToBeModified[i]].samplename << " )" << endl;
2121	+	}
2122	+
2123	+	dout << "Going to produce JZB plots" << endl;
2124	+	produce_stretched_jzb_plots(mcjzb,datajzb,ratio_binning);
2125	+	TCanvas *gloca = new TCanvas("gloca","gloca");
2126	+
2127	+	dout << "Going to produce prediction plots" << endl;
2128	+	do_prediction_plot(mcjzb, gloca, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do only MC plots, no signal
2129	+	do_prediction_plot(mcjzb, gloca, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do MC plots with signal
2130	+	delete gloca;
2131	+
2132	+	dout << "Going to reset the cross section for diboson samples ... " << endl;
2133	+	for(int i=0;i<(int)SamplesToBeModified.size();i++) {
2134	+	float Upxs=(allsamples.collection)[SamplesToBeModified[i]].xs;
2135	+	(allsamples.collection)[SamplesToBeModified[i]].xs=(allsamples.collection)[SamplesToBeModified[i]].xs*(1.0/stretchfactor);
2136	+	string Upname=(allsamples.collection)[SamplesToBeModified[i]].samplename;
2137	+	(allsamples.collection)[SamplesToBeModified[i]].samplename=labels[i];
2138	+	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;
2139	+
2140	+	}
2141	+
2142	+	}
2143	+
2144	+
2145	+	void draw_normalized_data_vs_data_histo(TCut cut1, TCut cut2, string variable, string legentry1, string legentry2, string savename, TCanvas *can,vector<float> binning) {
2146	+	TPad *jzbpad = new TPad("jzbpad","jzbpad",0,0,1,1);
2147	+	jzbpad->cd();
2148	+	jzbpad->SetLogy(1);
2149	+	string xlabel="JZB [GeV]";
2150	+
2151	+	TH1F *datahisto1 = allsamples.Draw("datahisto1",variable,binning, xlabel, "events",cut1,data,luminosity);
2152	+	datahisto1->SetLineColor(kRed);
2153	+	datahisto1->SetMarkerColor(kRed);
2154	+	TH1F *datahisto2 = allsamples.Draw("datahisto2",variable,binning, xlabel, "events",cut2,data,luminosity);
2155	+	datahisto2->SetLineColor(kBlue);
2156	+	datahisto2->SetMarkerColor(kBlue);
2157	+
2158	+	datahisto2->SetMarkerSize(DataMarkerSize);
2159	+	datahisto1->DrawNormalized("e1");
2160	+	datahisto2->DrawNormalized("histo,same");
2161	+	datahisto1->DrawNormalized("same,e1");
2162	+
2163	+	TLegend *leg = make_legend();
2164	+	leg->AddEntry(datahisto1,legentry1.c_str());
2165	+	leg->AddEntry(datahisto2,legentry2.c_str());
2166	+	leg->Draw();
2167
2168	+	save_with_ratio(datahisto1,datahisto2,jzbpad->cd(),("jzb/"+savename));
2169	+
2170	+	datahisto1->Delete();
2171	+	datahisto2->Delete();
2172	+	}
2173	+
2174	+
2175		void jzb_plots(string mcjzb, string datajzb,vector<float> ratio_binning) {
2176		TCanvas *can = new TCanvas("can","JZB Plots Canvas");
2177		float max=jzbHigh ;
#	Line 1477 | Line 2185 | void jzb_plots(string mcjzb, string data
2185		for(int i=0;i<=coarserbins;i++)coarse_binning.push_back(min+i*(max-min)/((float)coarserbins));
2186		for(int i=0;i<=rebinnedbins;i++)coarsest_binning.push_back(min+i*(max-min)/((float)rebinnedbins));
2187
2188	<	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP",can,binning);
2189	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP",can,binning);
2190	<	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_SFZP",can,binning);
2191	<	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_SFZP",can,binning);
2192	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_OFZP",can,binning);
2193	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_OFZP",can,binning);
2194	<	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
2195	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB",can,binning);
2196	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB",can,binning);
2188	>	if ( !PlottingSetup::Approved ) {
2189	>	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP",can,binning);
2190	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP",can,binning);
2191	>	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_SFZP",can,binning);
2192	>	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_SFZP",can,binning);
2193	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_OFZP",can,binning);
2194	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_OFZP",can,binning);
2195	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
2196	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB",can,binning);
2197	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB",can,binning);
2198	>	draw_normalized_data_vs_data_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,"ee","mm","jzb_ee_vs_mm",can,binning);
2199	>	draw_normalized_data_vs_data_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,"ee","mm","jzb_ee_vs_mm_coarse",can,coarse_binning);
2200	>	draw_normalized_data_vs_data_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,"ee","mm","jzb_ee_vs_mm_coarsest",can,coarsest_binning);
2201	>
2202	>	}
2203
2204		draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP_coarse",can,coarse_binning);
2205	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP_coarse",can,coarse_binning);
2206	<	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
2207	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB_coarse",can,coarse_binning);
2208	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB_coarse",can,coarse_binning);
2209	<
2210	<	//  draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP_coarsest",can,coarsest_binning);
2211	<	//  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);
2205	>	if ( !PlottingSetup::Approved ) {
2206	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP_coarse",can,coarse_binning);
2207	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
2208	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB_coarse",can,coarse_binning);
2209	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB_coarse",can,coarse_binning);
2210	>	}
2211	>	delete can;
2212		}
2213
2214
#	Line 1547 | Line 2258 | void compute_MC_yields(string mcjzb,vect
2258		TCanvas *yica = new TCanvas("yica","yield canvas");
2259
2260		int nRegions=4;
2261	<	if(!PlottingSetup::RestrictToMassPeak) nRegions=2;
2261	>	if(!PlottingSetup::RestrictToMassPeak||!PlottingSetup::UseSidebandsForcJZB) nRegions=2;
2262		string tsRegions[] = {"SFZP","OFZP","SFSB","OFSB"};
2263		string posneg[] = {"pos","neg"};
2264		TCut tkRegions[] = {cutOSSF&&cutnJets&&cutmass,cutOSOF&&cutnJets&&cutmass,cutOSSF&&cutnJets&&sidebandcut,cutOSOF&&cutnJets&&sidebandcut};
2265
2266	<	for(int ijzb=0;ijzb<jzb_cuts.size();ijzb++) {
2266	>	for(int ijzb=0;ijzb<(int)jzb_cuts.size();ijzb++) {
2267		TCut jzbMC[]  = { give_jzb_expression(mcjzb,jzb_cuts[ijzb],"pos"), give_jzb_expression(mcjzb,jzb_cuts[ijzb],"neg") };
2268		dout << "_________________________________________________________" << endl;
2269		dout << "Table for JZB> " << jzb_cuts[ijzb] << endl;
2270	<	for(int isample=0;isample<(allsamples.collection).size();isample++) {
2270	>	for(int isample=0;isample<(int)(allsamples.collection).size();isample++) {
2271		if(!(allsamples.collection)[isample].is_data) dout << (allsamples.collection)[isample].samplename << "  &  ";
2272		else dout << "Sample & ";
2273		for(int iregion=0;iregion<nRegions;iregion++) {
#	Line 1815 | Line 2526 | void draw_ttbar_and_zjets_shape_for_one_
2526
2527		void draw_ttbar_and_zjets_shape(string mcjzb, string datajzb) {
2528		int all_leptons=-1;
1818	–	int electrons_only=0;
1819	–	int mu_only=1;
1820	–	int twojetswith50gev=1;
2529		int threejetswith30gev=0;
2530		/*
2531	+	int twojetswith50gev=1;
2532	+	int electrons_only=0;
2533	+	int mu_only=1;
2534	+
2535		draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,all_leptons,twojetswith50gev);
2536		draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,all_leptons,threejetswith30gev);
2537
#	Line 1833 | Line 2545 | void draw_ttbar_and_zjets_shape(string m
2545		draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,all_leptons,threejetswith30gev,true);
2546		}
2547
2548	<	void find_correction_factors(string &jzbvardata,string &jzbvarmc) {
1837	<	//first: colorful plots
2548	>	float find_one_correction_factor(string FindKeyword, bool dodata, TCut SpecialCut, string SaveAs) {
2549		TCanvas *cancorr = new TCanvas("cancorr","Canvas for Response Correction");
2550		cancorr->SetLogz();
2551		cancorr->SetRightMargin(0.13);
2552	<	flag_this_change(__FUNCTION__,__LINE__,false);//PlottingSetup::RestrictToMassPeak
2553	<	TCut zptforresponsepresentation("pt<600"&&cutmass&&cutOSSF&&"((sumJetPt[1]/pt)<5.0)");
2552	>	TCut zptforresponsepresentation(Restrmasscut&&SpecialCut&&passtrig);
2553	>
2554	>	if(PlottingSetup::DoBTag) zptforresponsepresentation=zptforresponsepresentation&&PlottingSetup::bTagRequirement;
2555		TH2F *niceresponseplotd = new TH2F("niceresponseplotd","",100,0,600,100,0,5);
2556	<	(allsamples.collection)[allsamples.FindSample("Data")[0]].events->Draw("sumJetPt[1]/pt:pt>>niceresponseplotd",zptforresponsepresentation);
2556	>	niceresponseplotd->Sumw2();
2557	>	TH2F* emuResponse = (TH2F*)niceresponseplotd->Clone("emuResponse");
2558	>	vector<int> SampleIndices=allsamples.FindSample(FindKeyword);
2559	>	for(int iSample=0;iSample<(int)SampleIndices.size();iSample++) {
2560	>	if((allsamples.collection)[SampleIndices[iSample]].is_data && !dodata) continue;
2561	>	if((allsamples.collection)[SampleIndices[iSample]].is_data ==false && dodata) continue;
2562	>
2563	>	dout << "   Response correction : Using sample " << (allsamples.collection)[SampleIndices[iSample]].filename << " for " << FindKeyword << endl;
2564	>	(allsamples.collection)[SampleIndices[iSample]].events->Draw("sumJetPt[1]/pt:pt>>+niceresponseplotd",(zptforresponsepresentation&&cutOSSF)*cutWeight);
2565	>	(allsamples.collection)[SampleIndices[iSample]].events->Draw("sumJetPt[1]/pt:pt>>+emuResponse",(zptforresponsepresentation&&cutOSOF)*cutWeight);
2566	>	}
2567	>	niceresponseplotd->Add(emuResponse,-1);
2568	>
2569		niceresponseplotd->SetStats(0);
2570		niceresponseplotd->GetXaxis()->SetTitle("Z p_{T} [GeV]");
2571		niceresponseplotd->GetYaxis()->SetTitle("Response");
#	Line 1849 | Line 2573 | void find_correction_factors(string &jzb
2573		niceresponseplotd->GetYaxis()->CenterTitle();
2574		niceresponseplotd->Draw("COLZ");
2575		TProfile * profd = (TProfile*)niceresponseplotd->ProfileX();
2576	+	profd->Rebin(2);
2577		profd->SetMarkerSize(DataMarkerSize);
2578	<	profd->Fit("pol0","","same,e1",30,400);
2578	>	profd->Fit("pol0","","same,e1",100,400);
2579		DrawPrelim();
2580	<	TText* title = write_text(0.5,0.7,"Data");
2580	>	string stitle="Data";
2581	>	if(!Contains(FindKeyword,"Data")) stitle="MC";
2582	>	TText* title = write_text(0.5,0.7,stitle.c_str());
2583		title->SetTextAlign(12);
2584		title->Draw();
2585		TF1 *datapol=(TF1*)profd->GetFunction("pol0");
2586	<	float datacorrection=datapol->GetParameter(0);
2587	<	stringstream dataresstring;
2588	<	dataresstring<<"Response: "<<std::setprecision(2)<<100*datacorrection<<" %";
2589	<	TText* restitle = write_text(0.5,0.65,dataresstring.str());
2586	>	float correction=datapol->GetParameter(0);
2587	>	stringstream resstring;
2588	>	resstring<<"Response: "<<std::setprecision(2)<<100*correction<<" %";
2589	>	TText* restitle = write_text(0.5,0.65,resstring.str());
2590		restitle->SetTextAlign(12);
2591		restitle->SetTextSize(0.03);
2592		restitle->Draw();
2593	<	CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_Data");
2594	<
2595	<	TH2F *niceresponseplotm = new TH2F("niceresponseplotm","",100,0,600,100,0,5);
2596	<	(allsamples.collection)[allsamples.FindSample("DY")[0]].events->Draw("sumJetPt[1]/pt:pt>>niceresponseplotm",zptforresponsepresentation);
2597	<	niceresponseplotm->SetStats(0);
2598	<	niceresponseplotm->GetXaxis()->SetTitle("Z p_{T} [GeV]");
2599	<	niceresponseplotm->GetYaxis()->SetTitle("Response");
2600	<	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");
2593	>	CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_New_"+SaveAs);
2594	>	delete cancorr;
2595	>	delete niceresponseplotd;
2596	>	delete profd;
2597	>	return correction;
2598	>	}
2599	>
2600	>	void find_correction_factors(string &jzbvardata,string &jzbvarmc) {
2601
2602	+	dout << "Computing response corrections: " << endl;
2603	+	//Step 1 : Get results
2604	+	float datacorrection=find_one_correction_factor("Data",true,"","Data");
2605	+	float mccorrection=find_one_correction_factor("DY",false,"","MC");
2606	+
2607	+	float dataEEcorrection=find_one_correction_factor("Data",true,"id1==0","Data_ee");
2608	+	float mcEEcorrection=find_one_correction_factor("DY",false,"id1==0","MC_ee");
2609	+
2610	+	float dataMMcorrection=find_one_correction_factor("Data",true,"id1==1","Data_mm");
2611	+	float mcMMcorrection=find_one_correction_factor("DY",false,"id1==1","MC_mm");
2612	+
2613	+	cout << "Corrections : " << endl;
2614	+	cout << "   Data : " << datacorrection << endl;
2615	+	cout << "     ee (" << dataEEcorrection << ") , mm (" << dataMMcorrection << ")" << endl;
2616	+	cout << "   MC : " << mccorrection << endl;
2617	+	cout << "     ee (" << mcEEcorrection << ") , mm (" << mcMMcorrection << ")" << endl;
2618
2619	<	//Step 2: Getting the result
1896	<	//  TCut zptcutforresponse("pt>30&&pt<300&&TMath::Abs(91.2-mll)<20&&id1==id2&&(ch1*ch2<0)");
2619	>	//Step 2: Processing the result and making it into something useful :-)
2620		stringstream jzbvardatas;
2621	<	if(datacorrection>1) jzbvardatas<<"(jzb[1]-"<<datacorrection-1<<"*pt)";
2622	<	if(datacorrection<1) jzbvardatas<<"(jzb[1]+"<<1-datacorrection<<"*pt)";
2621	>	jzbvardatas << "(";
2622	>
2623	>	if(dataEEcorrection>=1) jzbvardatas<<"((id1==0&&id1==id2)*(jzb[1]-" << dataEEcorrection-1 << "*pt))";
2624	>	if(dataEEcorrection<1)  jzbvardatas<<"((id1==0&&id1==id2)*(jzb[1]+" << 1-dataEEcorrection << "*pt))";
2625	>
2626	>	if(dataMMcorrection>=1) jzbvardatas<<"+((id1==1&&id1==id2)*(jzb[1]-" << dataMMcorrection-1 << "*pt))";
2627	>	if(dataMMcorrection<1)  jzbvardatas<<"+((id1==1&&id1==id2)*(jzb[1]+" << 1-dataMMcorrection << "*pt))";
2628	>
2629	>	float averagecorrection=(dataMMcorrection+dataEEcorrection)/2.0;
2630	>
2631	>	if(datacorrection>=1) jzbvardatas<<"+((id1!=id2)*(jzb[1]-" << datacorrection-1 << "*pt))";
2632	>	if(datacorrection<1) jzbvardatas<<"+((id1!=id2)*(jzb[1]+" << 1-datacorrection << "*pt))";
2633	>
2634	>	jzbvardatas << ")";
2635		jzbvardata=jzbvardatas.str();
2636	+
2637		stringstream jzbvarmcs;
2638	<	if(mccorrection>1) jzbvarmcs<<"(jzb[1]-"<<mccorrection-1<<"*pt)";
2639	<	if(mccorrection<1) jzbvarmcs<<"(jzb[1]+"<<1-mccorrection<<"*pt)";
2638	>	jzbvarmcs << "(";
2639	>
2640	>	if(mcEEcorrection>=1) jzbvarmcs<<"((id1==0&&id1==id2)*(jzb[1]-" << mcEEcorrection-1 << "*pt))";
2641	>	if(mcEEcorrection<1)  jzbvarmcs<<"((id1==0&&id1==id2)*(jzb[1]+" << 1-mcEEcorrection << "*pt))";
2642	>
2643	>	if(mcMMcorrection>=1) jzbvarmcs<<"+((id1==1&&id1==id2)*(jzb[1]-" << mcMMcorrection-1 << "*pt))";
2644	>	if(mcMMcorrection<1)  jzbvarmcs<<"+((id1==1&&id1==id2)*(jzb[1]+" << 1-mcMMcorrection << "*pt))";
2645	>
2646	>	float averagemccorrection=(mcMMcorrection+mcEEcorrection)/2.0;
2647	>
2648	>	if(mccorrection>=1) jzbvarmcs<<"+((id1!=id2)*(jzb[1]-" << mccorrection-1 << "*pt))";
2649	>	if(mccorrection<1) jzbvarmcs<<"+((id1!=id2)*(jzb[1]+" << 1-mccorrection << "*pt))";
2650	>
2651	>	jzbvarmcs << ")";
2652		jzbvarmc=jzbvarmcs.str();
2653	+
2654		dout << "JZB Z pt correction summary : " << endl;
2655		dout << "  Data: The response is " << datacorrection << "  --> jzb variable is now : " << jzbvardata << endl;
2656		dout << "  MC  : The response is " << mccorrection << "  --> jzb variable is now : " << jzbvarmc << endl;
2657	+
2658		}
2659
2660		void pick_up_events(string cut) {
#	Line 1912 | Line 2662 | void pick_up_events(string cut) {
2662		allsamples.PickUpEvents(cut);
2663		}
2664
2665	<	void save_template(string mcjzb, string datajzb,vector<float> jzb_cuts,float MCPeakError) {
2665	>	void save_template(string mcjzb, string datajzb,vector<float> jzb_cuts,float MCPeakError,float DataPeakError, vector<float> jzb_shape_limit_bins) {
2666		dout << "Saving configuration template!" << endl;
2667		ofstream configfile;
2668		configfile.open("../DistributedModelCalculations/last_configuration.C");
#	Line 1932 | Line 2682 | void save_template(string mcjzb, string
2682		configfile<<"string datajzb=\"datajzb_ERROR\";\n";
2683		configfile<<"string mcjzb=\"mcjzb_ERROR\";\n";
2684		configfile<<"vector<float>jzb_cuts;\n";
2685	+	configfile<<"vector<float>jzb_shape_limit_bins;\n";
2686		configfile<<"float MCPeakError=-999;\n";
2687	+	configfile<<"float DataPeakError=-999;\n";
2688		configfile<<"}\n\n";
2689
2690		configfile<<"void read_config() {\n";
2691		configfile<<"datajzb=\""<<datajzb<<"\";\n";
2692		configfile<<"mcjzb=\""<<mcjzb<<"\";\n\n";
2693	<	configfile<<"\n\nMCPeakError="<<MCPeakError<<";\n\n";
2694	<	for(int i=0;i<jzb_cuts.size();i++) configfile<<"jzb_cuts.push_back("<<jzb_cuts[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2693	>	configfile<<"\n\nMCPeakError="<<MCPeakError<<";\n";
2694	>	configfile<<"DataPeakError="<<DataPeakError<<";\n\n";
2695	>	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";
2696	>	configfile<<"\n\n";
2697	>	for(int i=0;i<(int)Nobs.size();i++) configfile<<"Nobs.push_back("<<Nobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2698	>	for(int i=0;i<(int)Npred.size();i++) configfile<<"Npred.push_back("<<Npred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2699	>	for(int i=0;i<(int)Nprederr.size();i++) configfile<<"Nprederr.push_back("<<Nprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2700		configfile<<"\n\n";
2701	<	for(int i=0;i<Nobs.size();i++) configfile<<"Nobs.push_back("<<Nobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2702	<	for(int i=0;i<Npred.size();i++) configfile<<"Npred.push_back("<<Npred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2703	<	for(int i=0;i<Nprederr.size();i++) configfile<<"Nprederr.push_back("<<Nprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2701	>	for(int i=0;i<(int)flippedNobs.size();i++) configfile<<"flippedNobs.push_back("<<flippedNobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2702	>	for(int i=0;i<(int)flippedNpred.size();i++) configfile<<"flippedNpred.push_back("<<flippedNpred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2703	>	for(int i=0;i<(int)flippedNprederr.size();i++) configfile<<"flippedNprederr.push_back("<<flippedNprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2704	>	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";
2705		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";
2706		configfile<<"\n\n";
2707		configfile<<"luminosity="<<luminosity<<";\n";
2708	+	configfile<<"RestrictToMassPeak="<<RestrictToMassPeak<<";//defines the type of analysis we're running\n";
2709	+	configfile<<"UseSidebandsForcJZB="<<UseSidebandsForcJZB<<";//tells us whether to use the sidebands or not\n";
2710
2711		configfile<<"\n\ncout << \"Configuration successfully loaded!\" << endl; \n \n } \n \n";
2712
#	Line 1972 | Line 2729 | void draw_all_ttbar_histos(TCanvas *can,
2729		float max=histos[0]->GetMaximum();
2730		if(manualmin>=0) min=manualmin;
2731		else {
2732	<	for(int i=1;i<histos.size();i++) {
2732	>	for(int i=1;i<(int)histos.size();i++) {
2733		float curmin=get_nonzero_minimum(histos[i]);
2734		float curmax=histos[i]->GetMaximum();
2735		if(curmin<min) min=curmin;
#	Line 1983 | Line 2740 | void draw_all_ttbar_histos(TCanvas *can,
2740		histos[0]->Draw(drawoption.c_str());
2741		stringstream drawopt;
2742		drawopt << drawoption << ",same";
2743	<	for(int i=1;i<histos.size();i++) {
2743	>	for(int i=1;i<(int)histos.size();i++) {
2744		histos[i]->Draw(drawopt.str().c_str());
2745		}
2746		}
#	Line 1992 | Line 2749 | void ttbar_sidebands_comparison(string m
2749		//in the case of the on peak analysis, we compare the 3 control regions to the real value
2750		//in the case of the OFF peak analysis, we compare our control region to the real value
2751		TCut weightbackup=cutWeight;
1995	–	cutWeight="1.0";
1996	–	float simulatedlumi = luminosity; //in pb please - adjust to your likings
2752
2753	+	bool doPURW=false;
2754	+
2755	+
2756	+	if(!doPURW) {
2757	+	dout << "Not doing PU reweighting for ttbar closure test" << endl;
2758	+	cutWeight="1.0";
2759	+	// Do it without PU re-weighting
2760	+	float MCPeakNoPU=0,MCPeakErrorNoPU=0,DataPeakNoPU=0,DataPeakErrorNoPU=0,MCSigma=0,DataSigma=0;
2761	+	stringstream resultsNoPU;
2762	+	stringstream noPUdatajzb;
2763	+	stringstream noPUmcjzb;
2764	+
2765	+	stringstream mcjzbnoPU;
2766	+	find_peaks(MCPeakNoPU,MCPeakErrorNoPU, DataPeakNoPU, DataPeakErrorNoPU,resultsNoPU,true,noPUdatajzb,noPUmcjzb);
2767	+	mcjzb = noPUmcjzb.str();
2768	+	}
2769	+
2770	+
2771	+	float simulatedlumi = luminosity; //in pb please - adjust to your likings
2772
2773	<	TH1F *TZem = systsamples.Draw("TZem",mcjzb,binning,"JZB [GeV]","events",cutmass&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2773	>	TH1F *TZem  = systsamples.Draw("TZem",     mcjzb,binning,"JZB [GeV]","events",cutmass&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2774		TH1F *nTZem = systsamples.Draw("nTZem","-"+mcjzb,binning,"JZB [GeV]","events",cutmass&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2775		TH1F *TSem;
2776		TH1F *nTSem;
2777	<	TH1F *TZeemm = systsamples.Draw("TZeemm",mcjzb,binning,"JZB [GeV]","events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2777	>	TH1F *TZeemm  = systsamples.Draw("TZeemm",     mcjzb,binning,"JZB [GeV]","events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2778		TH1F *nTZeemm = systsamples.Draw("nTZeemm","-"+mcjzb,binning,"JZB [GeV]","events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2779		TH1F *TSeemm;
2780		TH1F *nTSeemm;
2781
2782	<	if(PlottingSetup::RestrictToMassPeak) {
2783	<	TSem = systsamples.Draw("TSem",mcjzb,binning,"JZB [GeV]","events",sidebandcut&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2784	<	nTSem = systsamples.Draw("nTSem","-"+mcjzb,binning,"JZB [GeV]","events",sidebandcut&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2785	<	TSeemm = systsamples.Draw("TSeemm",mcjzb,binning,"JZB [GeV]","events",sidebandcut&&cutOSSF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2782	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2783	>	TSem    = systsamples.Draw("TSem",       mcjzb,binning,"JZB [GeV]","events",sidebandcut&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2784	>	nTSem   = systsamples.Draw("nTSem",  "-"+mcjzb,binning,"JZB [GeV]","events",sidebandcut&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2785	>	TSeemm  = systsamples.Draw("TSeemm",     mcjzb,binning,"JZB [GeV]","events",sidebandcut&&cutOSSF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2786		nTSeemm = systsamples.Draw("nTSeemm","-"+mcjzb,binning,"JZB [GeV]","events",sidebandcut&&cutOSSF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2787		}
2788
2789		TCanvas *tcan = new TCanvas("tcan","tcan");
2016	–
2790		tcan->SetLogy(1);
2791
2792		TZeemm->SetLineColor(kBlack);
#	Line 2022 | Line 2795 | void ttbar_sidebands_comparison(string m
2795		TZem->SetMarkerColor(kRed);
2796
2797
2798	<	if(PlottingSetup::RestrictToMassPeak) {
2798	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2799		TSem->SetLineColor(TColor::GetColor("#00A616"));
2800		TSeemm->SetLineColor(kMagenta+2);
2801		TSem->SetMarkerColor(TColor::GetColor("#00A616"));
#	Line 2032 | Line 2805 | void ttbar_sidebands_comparison(string m
2805		}
2806
2807		vector<TH1F*> histos;
2808	+	TZem->GetXaxis()->SetRangeUser(-100,binning[binning.size()-1]);
2809	+	TZeemm->GetXaxis()->SetRangeUser(-100,binning[binning.size()-1]);
2810		histos.push_back(TZem);
2811		histos.push_back(TZeemm);
2812	<	if(PlottingSetup::RestrictToMassPeak) {
2812	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2813	>	TSeemm->GetXaxis()->SetRangeUser(-100,binning[binning.size()-1]);
2814	>	TSem->GetXaxis()->SetRangeUser(-100,binning[binning.size()-1]);
2815		histos.push_back(TSem);
2816		histos.push_back(TSeemm);
2817		}
2818	<	draw_all_ttbar_histos(tcan,histos,"histo",0.04);
2818	>	draw_all_ttbar_histos(tcan,histos,"histo",1);
2819
2820		TLegend *leg = make_legend("MC t#bar{t}",0.6,0.65,false);
2821		leg->AddEntry(TZeemm,"SFZP","l");
2822		leg->AddEntry(TZem,"OFZP","l");
2823	<	if(PlottingSetup::RestrictToMassPeak) {
2823	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2824		leg->AddEntry(TSeemm,"SFSB","l");
2825		leg->AddEntry(TSem,"OFSB","l");
2826		}
2827		leg->Draw("same");
2828		DrawMCPrelim(simulatedlumi);
2829		CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_shape_comparison");
2053	–
2830		TH1F *TZemcopy = (TH1F*)TZem->Clone("TZemcopy");
2831		TH1F *TZeemmcopy = (TH1F*)TZeemm->Clone("TZeemmcopy");
2832	<	TH1F *TSeemmcopy = (TH1F*)TSeemm->Clone("TSeemmcopy");
2833	<	TH1F *TSemcopy = (TH1F*)TSem->Clone("TSemcopy");
2832	>	TH1F *TSeemmcopy;
2833	>	TH1F *TSemcopy;
2834	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2835	>	TSeemmcopy = (TH1F*)TSeemm->Clone("TSeemmcopy");
2836	>	TSemcopy = (TH1F*)TSem->Clone("TSemcopy");
2837	>	}
2838
2839		TZem->Divide(TZeemm);
2840		TZem->SetMarkerStyle(21);
2841	<	if(PlottingSetup::RestrictToMassPeak) {
2841	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2842		TSem->Divide(TZeemm);
2843		TSeemm->Divide(TZeemm);
2844		TSem->SetMarkerStyle(24);
2845		TSeemm->SetMarkerStyle(32);
2846	<	}
2846	>	}
2847
2848		tcan->SetLogy(0);
2849		TZem->GetYaxis()->SetRangeUser(0,2.5);
2850		TZem->GetYaxis()->SetTitle("ratio");
2851		TZem->Draw();
2852	<	if(PlottingSetup::RestrictToMassPeak) {
2852	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2853		TSem->Draw("same");
2854		TSeemm->Draw("same");
2855		}
2856
2857	<	float linepos=0.25;
2858	<	if(PlottingSetup::RestrictToMassPeak) linepos=0.25;
2857	>	float linepos=emuncertONPEAK;
2858	>	if(!PlottingSetup::RestrictToMassPeak) linepos=emuncertOFFPEAK;
2859	>
2860		TLine *top = new TLine(binning[0],1.0+linepos,binning[binning.size()-1],1.0+linepos);
2861		TLine *center = new TLine(binning[0],1.0,binning[binning.size()-1],1.0);
2862		TLine *bottom = new TLine(binning[0],1.0-linepos,binning[binning.size()-1],1.0-linepos);
2863
2864	+	/*write_warning(__FUNCTION__,"These two lines are to be removed!");
2865	+	TLine *topalt = new TLine(binning[0],1.0+0.1,binning[binning.size()-1],1.0+0.1);
2866	+	TLine *bottomalt = new TLine(binning[0],1.0-0.1,binning[binning.size()-1],1.0-0.1);
2867	+	topalt->SetLineColor(kRed);topalt->SetLineStyle(3);
2868	+	bottomalt->SetLineColor(kRed);bottomalt->SetLineStyle(3);
2869	+	topalt->Draw("same");bottomalt->Draw("same");*/
2870	+
2871	+
2872		top->SetLineColor(kBlue);top->SetLineStyle(2);
2873		bottom->SetLineColor(kBlue);bottom->SetLineStyle(2);
2874		center->SetLineColor(kBlue);
#	Line 2090 | Line 2879 | void ttbar_sidebands_comparison(string m
2879
2880		TLegend *leg2 = make_legend("MC t#bar{t}",0.55,0.75,false);
2881		leg2->AddEntry(TZem,"OFZP / SFZP","ple");
2882	<	if(PlottingSetup::RestrictToMassPeak) {
2882	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2883		leg2->AddEntry(TSeemm,"SFSB / SFZP","ple");
2884		leg2->AddEntry(TSem,"OFSB / SFZP","ple");
2885		}
#	Line 2103 | Line 2892 | void ttbar_sidebands_comparison(string m
2892		DrawMCPrelim(simulatedlumi);
2893		CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_shape_comparison_ratio");
2894
2895	+	if (0) { // Turn this off: we don't need this
2896	+
2897	+	///-------------- second part: only look at the quantity we actually care about!
2898	+	TH1F *leftsfzp  = (TH1F*)nTZeemm->Clone("leftsfzp");
2899	+	TH1F *rightsfzp = (TH1F*)TZeemmcopy->Clone("rightsfzp");
2900	+	rightsfzp->Add(leftsfzp,-1);
2901	+	TH1F *leftofzp  = (TH1F*)nTZem->Clone("leftofzp");
2902	+	TH1F *rightofzp = (TH1F*)TZemcopy->Clone("rightofzp");
2903	+	rightofzp->Add(leftofzp,-1);
2904	+	TH1F *leftofsb;
2905	+	TH1F *rightofsb;
2906	+	TH1F *leftsfsb;
2907	+	TH1F *rightsfsb;
2908	+	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2909	+	leftofsb  = (TH1F*)nTSem->Clone("leftofsb");
2910	+	rightofsb = (TH1F*)TSemcopy->Clone("rightofsb");
2911	+	rightofsb->Add(leftofsb,-1);
2912	+	leftsfsb  = (TH1F*)nTSeemm->Clone("leftsfsb");
2913	+	rightsfsb = (TH1F*)TSeemmcopy->Clone("rightsfsb");
2914	+	rightsfsb->Add(leftsfsb,-1);
2915	+	}
2916
2917	+	tcan->SetLogy(1);
2918	+	rightsfzp->GetXaxis()->SetRangeUser(0,binning[binning.size()-1]);
2919	+	rightsfzp->GetYaxis()->SetTitle("#deltaJZB / 25 GeV");
2920	+	rightsfzp->Draw("histo");
2921	+	rightofzp->Draw("histo,same");
2922	+	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2923	+	rightofsb->Draw("histo,same");
2924	+	rightsfsb->Draw("histo,same");
2925	+	}
2926	+	DrawMCPrelim(simulatedlumi);
2927
2928	<	///-------------- second part: only look at the quantity we actually care about!
2929	<	TH1F *leftsfzp  = (TH1F*)nTZeemm->Clone("leftsfzp");
2930	<	TH1F *rightsfzp = (TH1F*)TZeemmcopy->Clone("rightsfzp");
2931	<	rightsfzp->Add(leftsfzp,-1);
2932	<	TH1F *leftofzp  = (TH1F*)nTZem->Clone("leftofzp");
2933	<	TH1F *rightofzp = (TH1F*)TZemcopy->Clone("rightofzp");
2934	<	rightofzp->Add(leftofzp,-1);
2935	<	TH1F *leftofsb;
2116	<	TH1F *rightofsb;
2117	<	TH1F *leftsfsb;
2118	<	TH1F *rightsfsb;
2119	<	if(PlottingSetup::RestrictToMassPeak) {
2120	<	leftofsb  = (TH1F*)nTSem->Clone("leftofsb");
2121	<	rightofsb = (TH1F*)TSemcopy->Clone("rightofsb");
2122	<	rightofsb->Add(leftofsb,-1);
2123	<	leftsfsb  = (TH1F*)nTSeemm->Clone("leftsfsb");
2124	<	rightsfsb = (TH1F*)TSeemmcopy->Clone("rightsfsb");
2125	<	rightsfsb->Add(leftsfsb,-1);
2126	<	}
2928	>	TLegend *legA = make_legend("MC t#bar{t}",0.6,0.65,false);
2929	>	legA->AddEntry(rightsfzp,"SFZP","l");
2930	>	legA->AddEntry(rightofzp,"OFZP","l");
2931	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2932	>	legA->AddEntry(rightofsb,"SFSB","l");
2933	>	legA->AddEntry(rightsfsb,"OFSB","l");
2934	>	}
2935	>	legA->Draw();
2936
2937	<	tcan->SetLogy(1);
2129	<	rightsfzp->GetXaxis()->SetRangeUser(0,binning[binning.size()-1]);
2130	<	rightsfzp->GetYaxis()->SetTitle("#deltaJZB / 25 GeV");
2131	<	rightsfzp->Draw("histo");
2132	<	rightofzp->Draw("histo,same");
2133	<	if(PlottingSetup::RestrictToMassPeak) {
2134	<	rightofsb->Draw("histo,same");
2135	<	rightsfsb->Draw("histo,same");
2136	<	}
2137	<	DrawMCPrelim(simulatedlumi);
2937	>	CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_deltajzb_comparison");
2938
2939	<	TLegend *legA = make_legend("MC t#bar{t}",0.6,0.65,false);
2940	<	legA->AddEntry(rightsfzp,"SFZP","l");
2941	<	legA->AddEntry(rightofzp,"OFZP","l");
2942	<	if(PlottingSetup::RestrictToMassPeak) {
2943	<	legA->AddEntry(rightofsb,"SFSB","l");
2944	<	legA->AddEntry(rightsfsb,"OFSB","l");
2945	<	}
2946	<	legA->Draw();
2939	>	tcan->SetLogy(0);
2940	>	rightofzp->Divide(rightsfzp);
2941	>	rightofzp->GetXaxis()->SetRangeUser(0.0,binning[binning.size()-1]);
2942	>	rightofzp->GetYaxis()->SetRangeUser(0.0,2.5);
2943	>	rightofzp->GetYaxis()->SetTitle("#deltaJZB ratio");
2944	>	rightofzp->Draw();
2945	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2946	>	rightofsb->Divide(rightsfzp);
2947	>	rightsfsb->Divide(rightsfzp);
2948	>	rightofsb->Draw("same");
2949	>	rightsfsb->Draw("same");
2950	>	}
2951
2952	<	CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_deltajzb_comparison");
2952	>	TLine *top2 = new TLine(0.0,1.0+linepos,binning[binning.size()-1],1.0+linepos);
2953	>	TLine *center2 = new TLine(0.0,1.0,binning[binning.size()-1],1.0);
2954	>	TLine *bottom2 = new TLine(0.0,1.0-linepos,binning[binning.size()-1],1.0-linepos);
2955	>
2956	>	top2->SetLineColor(kBlue);top2->SetLineStyle(2);
2957	>	bottom2->SetLineColor(kBlue);bottom2->SetLineStyle(2);
2958	>	center2->SetLineColor(kBlue);
2959	>
2960	>	top2->Draw("same");
2961	>	center2->Draw("same");
2962	>	bottom2->Draw("same");
2963	>
2964	>	rightofzp->SetMarkerStyle(21);
2965	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2966	>	rightofsb->SetMarkerStyle(24);
2967	>	rightsfsb->SetMarkerStyle(32);
2968	>	}
2969
2970	<	tcan->SetLogy(0);
2971	<	rightofzp->Divide(rightsfzp);
2972	<	rightofzp->GetXaxis()->SetRangeUser(0.0,binning[binning.size()-1]);
2973	<	rightofzp->GetYaxis()->SetRangeUser(0.0,2.0);
2974	<	rightofzp->GetYaxis()->SetTitle("#deltaJZB ratio");
2975	<	rightofzp->Draw();
2976	<	if(PlottingSetup::RestrictToMassPeak) {
2977	<	rightofsb->Divide(rightsfzp);
2978	<	rightsfsb->Divide(rightsfzp);
2159	<	rightofsb->Draw("same");
2160	<	rightsfsb->Draw("same");
2161	<	}
2162	<
2163	<	TLine *top2 = new TLine(0.0,1.0+linepos,binning[binning.size()-1],1.0+linepos);
2164	<	TLine *center2 = new TLine(0.0,1.0,binning[binning.size()-1],1.0);
2165	<	TLine *bottom2 = new TLine(0.0,1.0-linepos,binning[binning.size()-1],1.0-linepos);
2166	<
2167	<	top2->SetLineColor(kBlue);top2->SetLineStyle(2);
2168	<	bottom2->SetLineColor(kBlue);bottom2->SetLineStyle(2);
2169	<	center2->SetLineColor(kBlue);
2170	<
2171	<	top2->Draw("same");
2172	<	center2->Draw("same");
2173	<	bottom2->Draw("same");
2174	<
2175	<	rightofzp->SetMarkerStyle(21);
2176	<	if(PlottingSetup::RestrictToMassPeak) {
2177	<	rightofsb->SetMarkerStyle(24);
2178	<	rightsfsb->SetMarkerStyle(32);
2179	<	}
2180	<
2181	<	TLegend *leg3 = make_legend("MC t#bar{t}",0.55,0.75,false);
2182	<	leg3->AddEntry(rightofzp,"OFZP / SFZP","ple");
2183	<	if(PlottingSetup::RestrictToMassPeak) {
2184	<	leg3->AddEntry(rightsfsb,"SFSB / SFZP","ple");
2185	<	leg3->AddEntry(rightofsb,"OFSB / SFZP","ple");
2186	<	}
2187	<	leg3->AddEntry(bottom,"syst. envelope","l");
2188	<	leg3->SetX1(0.25);leg3->SetX2(0.6);
2189	<	leg3->SetY1(0.65);
2970	>	TLegend *leg3 = make_legend("MC t#bar{t}",0.55,0.75,false);
2971	>	leg3->AddEntry(rightofzp,"OFZP / SFZP","ple");
2972	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2973	>	leg3->AddEntry(rightsfsb,"SFSB / SFZP","ple");
2974	>	leg3->AddEntry(rightofsb,"OFSB / SFZP","ple");
2975	>	}
2976	>	leg3->AddEntry(bottom,"syst. envelope","l");
2977	>	leg3->SetX1(0.25);leg3->SetX2(0.6);
2978	>	leg3->SetY1(0.65);
2979
2980	<	leg3->Draw("same");
2980	>	leg3->Draw("same");
2981
2982	<	DrawMCPrelim(simulatedlumi);
2983	<	CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_deltajzb_comparison_ratio");
2982	>	DrawMCPrelim(simulatedlumi);
2983	>	CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_deltajzb_comparison_ratio");
2984	>
2985	>	}
2986
2987		delete TZem;
2988		delete nTZem;
2989		delete TZeemm;
2990		delete nTZeemm;
2991	<	if(PlottingSetup::RestrictToMassPeak) {
2991	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2992		delete TSem;
2993		delete nTSem;
2994		delete TSeemm;
#	Line 2210 | Line 3001 | void ttbar_sidebands_comparison(string m
3001
3002		void ttbar_sidebands_comparison(string mcjzb, vector<float> jzb_binning) {
3003		vector<float> nicer_binning;
3004	<	nicer_binning.push_back(-125);
3004	>
3005	>	/*  nicer_binning.push_back(-400);
3006	>	nicer_binning.push_back(-250);
3007	>	nicer_binning.push_back(-200);
3008	>	nicer_binning.push_back(-150);
3009	>	nicer_binning.push_back(-100);
3010	>	nicer_binning.push_back(-50);
3011	>	nicer_binning.push_back(-20);
3012	>
3013	>	nicer_binning.push_back(0);
3014	>	nicer_binning.push_back(20);
3015	>	nicer_binning.push_back(50);
3016	>	nicer_binning.push_back(100);
3017	>	nicer_binning.push_back(150);
3018	>	nicer_binning.push_back(200);
3019	>	nicer_binning.push_back(250);
3020	>	nicer_binning.push_back(400);*/
3021	>
3022		nicer_binning.push_back(-100);
2215	–	nicer_binning.push_back(-75);
3023		nicer_binning.push_back(-50);
3024		nicer_binning.push_back(-25);
3025		nicer_binning.push_back(0);
#	Line 2222 | Line 3029 | void ttbar_sidebands_comparison(string m
3029		nicer_binning.push_back(100);
3030		nicer_binning.push_back(125);
3031		nicer_binning.push_back(150);
3032	<	nicer_binning.push_back(175);
3032	>	//nicer_binning.push_back(175);
3033		nicer_binning.push_back(200);
3034	<	nicer_binning.push_back(230);
3035	<	nicer_binning.push_back(280);
3034	>	nicer_binning.push_back(250);
3035	>	nicer_binning.push_back(300);
3036		nicer_binning.push_back(400);
3037	+
3038		ttbar_sidebands_comparison(mcjzb,nicer_binning, "ttbar/");
3039		}
3040
3041
3042	<	void zjets_prediction_comparison() {
3043	<	// Do it without PU re-weighting
3044	<	float MCPeakNoPU=0,MCPeakErrorNoPU=0,DataPeakNoPU=0,DataPeakErrorNoPU=0,MCSigma=0,DataSigma=0;
3045	<	stringstream resultsNoPU;
3046	<
3047	<	stringstream mcjzbnoPU;
3048	<	find_peaks(MCPeakNoPU,MCPeakErrorNoPU, DataPeakNoPU, DataPeakErrorNoPU,MCSigma,DataSigma,resultsNoPU,false);
3049	<	if(MCPeakNoPU>0) mcjzbnoPU<<"("<<jzbvariablemc<<"-"<<TMath::Abs(MCPeakNoPU)<<")";
3050	<	else mcjzbnoPU<<"("<<jzbvariablemc<<"+"<<TMath::Abs(MCPeakNoPU)<<")";
3042	>	void zjets_prediction_comparison(string mcjzbWithPUa) {
3043	>	TCanvas *zcan = new TCanvas("zcan","zcan");
3044	>	//  zcan->SetLogy(1);
3045	>	TCut weightbackup=cutWeight;
3046	>
3047	>	bool UsePURW=false;
3048	>
3049	>
3050	>	string mcjzb;
3051	>	if(UsePURW) {
3052	>	mcjzb=mcjzbWithPUa;
3053	>	} else {
3054	>	// Do it without PU re-weighting
3055	>	float MCPeakNoPU=0,MCPeakErrorNoPU=0,DataPeakNoPU=0,DataPeakErrorNoPU=0,MCSigma=0,DataSigma=0;
3056	>	stringstream resultsNoPU;
3057	>	stringstream noPUdatajzb;
3058	>	stringstream noPUmcjzb;
3059	>
3060	>	find_peaks(MCPeakNoPU,MCPeakErrorNoPU, DataPeakNoPU, DataPeakErrorNoPU,resultsNoPU,false,noPUdatajzb,noPUmcjzb);
3061	>	dout << "The peak corrected JZB expression for MC without pileup is : " <<  noPUmcjzb.str() << endl;
3062	>
3063	>	mcjzb = noPUmcjzb.str();
3064	>
3065	>	cutWeight="1.0";
3066	>	}
3067
3068	<	string mcjzb = mcjzbnoPU.str();
3069	<	dout << "The peak corrected JZB expression for MC without pileup is : " <<  mcjzb << endl;
3068	>
3069	>	vector<float> binning;
3070	>	binning.push_back(0);
3071	>	binning.push_back(10);
3072	>	binning.push_back(20);
3073	>	binning.push_back(40);
3074	>	binning.push_back(60);
3075	>	//   binning.push_back(50);
3076	>	//   binning.push_back(60);
3077	>	//   binning.push_back(70);
3078	>	//   binning.push_back(80);
3079	>	//   binning.push_back(90);
3080	>	binning.push_back(100);
3081
2247	–	TCut weightbackup=cutWeight;
2248	–	cutWeight="1.0";
2249	–	float sbg_min=0.;
2250	–	float sbg_max=100.;
2251	–	int sbg_nbins=5;
3082		float simulatedlumi = luminosity;//in pb please - adjust to your likings
3083
3084		TCut kPos((mcjzb+">0").c_str());
3085		TCut kNeg((mcjzb+"<0").c_str());
3086		string var( "abs("+mcjzb+")" );
3087	+
3088	+	TCut notTau("abs(genMID1)!=15");
3089	+	TCut ONLYTau("mll>20");
3090	+
3091
3092	<	TCut kcut(cutmass&&cutOSSF&&"pfJetGoodNum>2");
3093	<	TH1F *hJZBpos = systsamples.Draw("hJZBpos",var,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",
3094	<	kcut&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
2261	<	TH1F *hJZBneg = systsamples.Draw("hJZBneg",var,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",
2262	<	kcut&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
3092	>	TH1F *hJZBpos = systsamples.Draw("hJZBpos",var,binning, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets&&notTau&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
3093	>	TH1F *hJZBneg = systsamples.Draw("hJZBneg",var,binning, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets&&notTau&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
3094	>
3095		hJZBpos->SetLineColor(kBlack);
3096		hJZBneg->SetLineColor(kRed);
3097
3098	<	Int_t nbins = 5;
2267	<	Float_t xmax = 100.;
2268	<
2269	<
2270	<	TCanvas *zcan = new TCanvas("zcan","zcan");
2271	<	zcan->SetLogy(1);
2272	<
3098	>	hJZBpos->SetMinimum(1.0);
3099		hJZBpos->Draw("e1");
3100		hJZBneg->Draw("same,hist");
3101		hJZBpos->Draw("same,e1"); // So it's on top...
3102
3103	<	TLegend *leg = make_legend("MC Z+jets",0.55,0.75,false);
3103	>	TLegend *leg = make_legend("MC Z+jets #rightarrow ee,#mu#mu",0.55,0.75,false);
3104		leg->AddEntry(hJZBpos,"Observed","pe");
3105		leg->AddEntry(hJZBneg,"Predicted","l");
3106		leg->Draw("same");
3107		DrawMCPrelim(simulatedlumi);
3108	<	CompleteSave(zcan,"Systematics/zjets_prediction");
3108	>	CompleteSave(zcan,"Systematics/ZJets/zjets_eemm_prediction");
3109
3110		TH1F* hratio = (TH1F*)hJZBpos->Clone("hratio");
3111		hratio->Divide(hJZBneg);
3112
3113	+	for(int i=1;i<=hJZBpos->GetNbinsX();i++) {
3114	+	cout << "Positive: " << hJZBpos->GetBinContent(i) << "   vs    Negative : " << hJZBneg->GetBinContent(i) << "   (ratio : " << hJZBpos->GetBinContent(i) / hJZBneg->GetBinContent(i) << endl;
3115	+	}
3116	+
3117		zcan->SetLogy(0);
3118	<	hratio->GetYaxis()->SetRangeUser(0,2.5);
3118	>	hratio->GetYaxis()->SetRangeUser(0,2.0);
3119		hratio->GetYaxis()->SetTitle("Observed/Predicted");
3120		hratio->Draw("e1");
3121
3122	<	TLine *top = new TLine(sbg_min,1.25,sbg_max,1.25);
3123	<	TLine *center = new TLine(sbg_min,1.0,sbg_max,1.0);
3124	<	TLine *bottom = new TLine(sbg_min,0.75,sbg_max,0.75);
3122	>	TLine *top = new TLine(binning[0],1.25,binning[binning.size()-1],1.25);
3123	>	TLine *center = new TLine(binning[0],1.0,binning[binning.size()-1],1.0);
3124	>	TLine *bottom = new TLine(binning[0],0.75,binning[binning.size()-1],0.75);
3125
3126
3127		top->SetLineColor(kBlue);top->SetLineStyle(2);
#	Line 2302 | Line 3132 | void zjets_prediction_comparison() {
3132		center->Draw("same");
3133		bottom->Draw("same");
3134
3135	<	TLegend *leg2 = make_legend("MC Z+jets",0.25,0.75,false);
3135	>	TLegend *leg2 = make_legend("MC Z+jets #rightarrow ee,#mu#mu",0.25,0.75,false);
3136		leg2->AddEntry(hratio,"obs / pred","pe");
3137		leg2->AddEntry(bottom,"syst. envelope","l");
3138		leg2->Draw("same");
3139		DrawMCPrelim(simulatedlumi);
3140	<	CompleteSave(zcan,"Systematics/zjets_prediction_ratio");
3140	>	CompleteSave(zcan,"Systematics/ZJets/zjets_eemm_prediction_ratio");
3141	>
3142	>	TCut reducedNJets(cutnJets);
3143	>
3144	>	TH1F *TAUhJZBpos = systsamples.Draw("TAUhJZBpos",var,binning, "JZB [GeV]", "events",cutmass&&cutOSSF&&reducedNJets&&ONLYTau&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
3145	>	TH1F *LcorrJZBeemm     = systsamples.Draw("LcorrJZBeemm",var,binning, "JZB [GeV]", "events",cutmass&&cutOSSF&&reducedNJets&&ONLYTau&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
3146	>	TH1F *RcorrJZBem       = systsamples.Draw("RcorrJZBem",var,binning, "JZB [GeV]", "events",cutmass&&cutOSOF&&reducedNJets&&ONLYTau&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
3147	>	TH1F *LcorrJZBem       = systsamples.Draw("LcorrJZBem",var,binning, "JZB [GeV]", "events",cutmass&&cutOSOF&&reducedNJets&&ONLYTau&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
3148	>
3149	>	TH1F *RcorrJZBSBem;
3150	>	TH1F *LcorrJZBSBem;
3151	>	TH1F *RcorrJZBSBeemm;
3152	>	TH1F *LcorrJZBSBeemm;
3153	>
3154	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
3155	>	RcorrJZBSBem   = systsamples.Draw("RcorrJZBSBem",var,binning, "JZB [GeV]", "events",sidebandcut&&cutOSOF&&reducedNJets&&ONLYTau&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
3156	>	LcorrJZBSBem   = systsamples.Draw("LcorrJZBSBem",var,binning, "JZB [GeV]", "events",sidebandcut&&cutOSOF&&reducedNJets&&ONLYTau&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
3157	>	RcorrJZBSBeemm = systsamples.Draw("RcorrJZBSBeemm",var,binning, "JZB [GeV]", "events",sidebandcut&&cutOSSF&&reducedNJets&&ONLYTau&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
3158	>	LcorrJZBSBeemm = systsamples.Draw("LcorrJZBSBeemm",var,binning, "JZB [GeV]", "events",sidebandcut&&cutOSSF&&reducedNJets&&ONLYTau&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
3159	>	}
3160	>
3161	>	TH1F *Bpred = (TH1F*)LcorrJZBeemm->Clone("Bpred");
3162	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
3163	>	Bpred->Add(RcorrJZBem,1.0/3.);
3164	>	Bpred->Add(LcorrJZBem,-1.0/3.);
3165	>	Bpred->Add(RcorrJZBSBem,1.0/3.);
3166	>	Bpred->Add(LcorrJZBSBem,-1.0/3.);
3167	>	Bpred->Add(RcorrJZBSBeemm,1.0/3.);
3168	>	Bpred->Add(LcorrJZBSBeemm,-1.0/3.);
3169	>	} else {
3170	>	Bpred->Add(RcorrJZBem,1.0);
3171	>	Bpred->Add(LcorrJZBem,-1.0);
3172	>	}
3173	>
3174	>	Bpred->SetLineColor(kRed);
3175	>
3176	>	TAUhJZBpos->SetLineColor(kBlack);
3177	>	Bpred->SetLineColor(kRed);
3178	>
3179	>	TAUhJZBpos->SetMinimum(1.0);
3180	>	TAUhJZBpos->Draw("e1");
3181	>	Bpred->Draw("same,hist");
3182	>	TAUhJZBpos->Draw("same,e1");
3183	>
3184	>	TLegend *TAUleg = make_legend("MC Z+jets #rightarrow ee,#mu#mu,#tau#tau",0.55,0.75,false);
3185	>	TAUleg->AddEntry(TAUhJZBpos,"Observed","pe");
3186	>	TAUleg->AddEntry(Bpred,"Predicted","l");
3187	>	TAUleg->Draw("same");
3188	>	DrawMCPrelim(simulatedlumi);
3189	>	CompleteSave(zcan,"Systematics/ZJets/zjets_eemumutautau_prediction");
3190	>
3191	>	TH1F* TAUhratio = (TH1F*)TAUhJZBpos->Clone("TAUhratio");
3192	>	TAUhratio->Divide(Bpred);
3193	>
3194	>	for(int i=1;i<=TAUhJZBpos->GetNbinsX();i++) {
3195	>	cout << "ee/mm/tautau observed: " << TAUhJZBpos->GetBinContent(i) << "   vs    predicted : " << Bpred->GetBinContent(i) << "   (ratio : " << TAUhJZBpos->GetBinContent(i) / Bpred->GetBinContent(i) << endl;
3196	>	}
3197	>
3198	>	zcan->SetLogy(0);
3199	>	TAUhratio->GetYaxis()->SetRangeUser(0,2.5);
3200	>	TAUhratio->GetYaxis()->SetTitle("Observed/Predicted");
3201	>	TAUhratio->Draw("e1");
3202	>
3203	>	top->Draw("same");
3204	>	center->Draw("same");
3205	>	bottom->Draw("same");
3206	>
3207	>	TLegend *TAUleg2 = make_legend("MC Z+jets #rightarrow #tau#tau",0.25,0.75,false);
3208	>	TAUleg2->AddEntry(TAUhratio,"obs / pred","pe");
3209	>	TAUleg2->AddEntry(bottom,"syst. envelope","l");
3210	>	TAUleg2->Draw("same");
3211	>	DrawMCPrelim(simulatedlumi);
3212	>	CompleteSave(zcan,"Systematics/ZJets/zjets_eemumutautau_prediction_ratio");
3213	>
3214	>	delete Bpred;
3215	>	delete TAUhJZBpos;
3216	>	delete LcorrJZBeemm;
3217	>	delete RcorrJZBem;
3218	>	delete LcorrJZBem;
3219	>
3220	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
3221	>	delete RcorrJZBSBem;
3222	>	delete LcorrJZBSBem;
3223	>	delete RcorrJZBSBeemm;
3224	>	delete LcorrJZBSBeemm;
3225	>	}
3226	>
3227
3228		delete zcan;
3229		cutWeight=weightbackup;
#	Line 2333 | Line 3249 | void sideband_assessment(string datajzb,
3249		tout << "\\begin{tabular}{l|cc}" << endl;
3250		tout << "\\hline" << endl;
3251		tout << "& {\\OFZP} & {\\OFSB} \\\\\\hline" << endl;
3252	<	tout << "\\#(events) & "<<OFSB<<" & "<<OFZP<<"\\\\ \\hline" << endl;
3252	>	tout << "\\#(events) & "<<OFZP<<" & "<<OFSB<<"\\\\ \\hline" << endl;
3253		tout << "\\end{tabular}" << endl;
3254		tout << "\\end{center}" << endl;
3255		tout << "\\end{table}" << endl;
#	Line 2351 | Line 3267 | void make_table(samplecollection &coll,
3267
3268		TCanvas *cannie = new TCanvas("cannie","cannie");
3269
3270	<	for(int icut=0;icut<jzb_cuts.size();icut++) {
3270	>	for(int icut=0;icut<(int)jzb_cuts.size();icut++) {
3271		float currcut=jzb_cuts[icut];
3272		int nbins=1;float low=currcut;
3273		vector<int> mysample;
#	Line 2366 | Line 3282 | void make_table(samplecollection &coll,
3282		TH1F *RcorrJZBSBeemm;
3283		TH1F *LcorrJZBSBeemm;
3284
3285	<	if(PlottingSetup::RestrictToMassPeak) {
3285	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
3286		RcorrJZBSBem   = coll.Draw("RcorrJZBSBem",jzbexpr.c_str(),nbins,low,14000, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity, mysample);
3287		LcorrJZBSBem   = coll.Draw("LcorrJZBSBem",("-("+jzbexpr+")").c_str(),nbins,low,14000, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity, mysample);
3288		RcorrJZBSBeemm = coll.Draw("RcorrJZBSBeemm",jzbexpr.c_str(),nbins,low,14000, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity, mysample);
#	Line 2374 | Line 3290 | void make_table(samplecollection &coll,
3290		}
3291
3292		TH1F *Bpred = (TH1F*)LcorrJZBeemm->Clone("Bpred");
3293	<	if(PlottingSetup::RestrictToMassPeak) {
3293	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
3294		Bpred->Add(RcorrJZBem,1.0/3.);
3295		Bpred->Add(LcorrJZBem,-1.0/3.);
3296		Bpred->Add(RcorrJZBSBem,1.0/3.);
#	Line 2410 | Line 3326 | void make_table(samplecollection &coll,
3326		//prediction part
3327		if(is_data) cout << "Data prediction & ";
3328		if(subselection!="none") cout << subselection << " prediction &";
3329	<	for(int ij=0;ij<jzb_cuts.size();ij++) cout << jzbcutprediction[ij] << " vs " << metcutprediction[ij] << " & ";
3329	>	for(int ij=0;ij<(int)jzb_cuts.size();ij++) cout << jzbcutprediction[ij] << " vs " << metcutprediction[ij] << " & ";
3330
3331		cout << endl;
3332		//observation part
3333		if(is_data) cout << "Data observation & ";
3334		if(subselection!="none") cout << subselection << " observation &";
3335	<	for(int ij=0;ij<jzb_cuts.size();ij++) cout << jzbcutobservation[ij] << " vs " << metcutobservation[ij] << " & ";
3335	>	for(int ij=0;ij<(int)jzb_cuts.size();ij++) cout << jzbcutobservation[ij] << " vs " << metcutobservation[ij] << " & ";
3336		cout << endl;
3337		cout << "_________________________________________________________________" << endl;
3338		delete cannie;
#	Line 2451 | Line 3367 | void JZBSelEff(string mcjzb, TTree* even
3367		int nbins = sizeof(xbins)/sizeof(float)-1;
3368		int markers[] = { 20, 26, 21, 24, 22, 25, 28 };
3369
3370	<	TH1F* heff  = new TH1F("heff", "JZB eff ; generator-level JZB [GeV]; efficiency",nbins,xbins);
3371	<	TH1F* hgen  = new TH1F("hgen", "JZB gen ; generator-level JZB [GeV]; efficiency",nbins,xbins);
3372	<	TH1F* hreco = new TH1F("hreco","JZB reco ; generator-level JZB [GeV]; efficiency",nbins,xbins);
3370	>
3371	>	TH1F* heff  = new TH1F("heff", "JZB eff ; generator JZB [GeV]; efficiency",nbins,xbins);
3372	>	TH1F* hgen  = new TH1F("hgen", "JZB gen ; generator JZB [GeV]; efficiency",nbins,xbins);
3373	>	TH1F* hreco = new TH1F("hreco","JZB reco ; generator JZB [GeV]; efficiency",nbins,xbins);
3374
3375		TCut kgen(genMassCut&&"genZPt>0&&genNjets>2&&abs(genMID)==23"&&cutOSSF);
3376		TCut kreco(cutmass);
#	Line 2469 | Line 3386 | void JZBSelEff(string mcjzb, TTree* even
3386		TCanvas *can = new TCanvas("can","Canvas for JZB Efficiency",600,600);
3387		can->SetGridx(1);
3388		can->SetGridy(1);
3389	+	can->SetLeftMargin(0.16);
3390	+	can->SetRightMargin(0.05);
3391		TLegend *leg = make_legend("",0.6,0.2,false,0.89,0.5);
3392	+	leg->SetBorderSize(1);
3393	+	leg->SetLineColor(kBlack);
3394	+	leg->SetTextFont(62);
3395
3396	<
2475	<
2476	<	for ( int icut=0; icut<jzb_bins.size(); ++icut ) {
3396	>	for ( int icut=0; icut<(int)jzb_bins.size(); ++icut ) {
3397
3398		ostringstream selection;
3399		selection << mcjzb << ">" << jzb_bins[icut];
#	Line 2489 | Line 3409 | void JZBSelEff(string mcjzb, TTree* even
3409		}
3410
3411		heff->GetXaxis()->SetRangeUser(min, max);
3412	+	//    heff->GetXaxis()->SetLabelSize(0.05); // paper style. overruled.
3413	+	//    heff->GetYaxis()->SetLabelSize(0.05); // paper style. overruled.
3414	+	//    heff->GetXaxis()->SetTitleSize(0.06); // paper style. overruled.
3415	+	//    heff->GetYaxis()->SetTitleSize(0.06); // paper style. overruled.
3416		heff->SetMarkerStyle(markers[icut]);
3417		heff->Fit("func","Q+","same");
3418
#	Line 2500 | Line 3424 | void JZBSelEff(string mcjzb, TTree* even
3424
3425		// Store plot
3426		TH1F* h = (TH1F*)heff->Clone(hname);
3427	+	h->SetNdivisions(505,"X");
3428		if ( icut) h->Draw("same");
3429		else h->Draw();
3430		char htitle[256]; sprintf(htitle,"JZB > %3.0f GeV", jzb_bins[icut]);
#	Line 2520 | Line 3445 | void JZBSelEff(string mcjzb, TTree* even
3445		// Calls the above function for each signal sample
3446		void plot_jzb_sel_eff(string mcjzb, samplecollection &signalsamples, vector<float> bins )
3447		{
3448	<	for (int isignal=0; isignal<signalsamples.collection.size();isignal++) {
3448	>	for (int isignal=0; isignal<(int)signalsamples.collection.size();isignal++) {
3449		dout << "JZB selection efficiency curve: " << std::endl;
3450		JZBSelEff(mcjzb,(signalsamples.collection)[isignal].events,(signalsamples.collection)[isignal].samplename,bins); // Only for some selected samples
3451		}
#	Line 2563 | Line 3488 | void qcd_plots(string datajzb, string mc
3488		TH1F *RcorrJZBSBeemm;
3489		TH1F *LcorrJZBSBeemm;
3490
3491	<	TH1F *RcorrJZBeemmNoS;
3491	>	//  TH1F *RcorrJZBeemmNoS;
3492
3493		//these are for the ratio
3494		TH1F *JRcorrJZBeemm   = qcdsamples.Draw("JRcorrJZBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
#	Line 2576 | Line 3501 | void qcd_plots(string datajzb, string mc
3501		TH1F *JRcorrJZBSBeemm;
3502		TH1F *JLcorrJZBSBeemm;
3503
3504	<	if(PlottingSetup::RestrictToMassPeak) {
3504	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
3505		RcorrJZBSBem   = qcdsamples.Draw("RcorrJZBSBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
3506		LcorrJZBSBem   = qcdsamples.Draw("LcorrJZBSBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
3507		RcorrJZBSBeemm = qcdsamples.Draw("RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
#	Line 2597 | Line 3522 | void qcd_plots(string datajzb, string mc
3522
3523		TH1F *Bpred = (TH1F*)LcorrJZBeemm->Clone("Bpred");
3524		TH1F *JBpred = (TH1F*)JLcorrJZBeemm->Clone("Bpred");
3525	<	if(PlottingSetup::RestrictToMassPeak) {
3525	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
3526		Bpred->Add(RcorrJZBem,1.0/3.);
3527		Bpred->Add(LcorrJZBem,-1.0/3.);
3528		Bpred->Add(RcorrJZBSBem,1.0/3.);
#	Line 2647 | Line 3572 | void qcd_plots(string datajzb, string mc
3572		//3rd last argument: do special bpred ratio, 2nd last argument: extended range!, last: y-axis title
3573		string ytitle("ratio");
3574		if ( use_data==1 ) ytitle = "data/pred";
3575	<	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,"QCD/Bpred",true,use_data!=1,ytitle);
3575	>	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,"QCD/Bpred",true,false,ytitle);
3576
3577		TH1F *allevents = qcdsamples.Draw("allevents","pfJetGoodNum",1,0,100, "internal code", "events", "" ,mc, luminosity);
3578		TH1F *ossf = qcdsamples.Draw("ossf","pfJetGoodNum",1,0,100, "internal code", "events", cutOSSF ,mc, luminosity);
#	Line 2667 | Line 3592 | void qcd_plots(string datajzb, string mc
3592		dout << "______________________________________________" << endl;
3593		dout << "How QCD shows up in the different regions: " << endl;
3594		dout << "OSSF: " << endl;
3595	<	if(PlottingSetup::RestrictToMassPeak) {
3595	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
3596		dout << "     Z window: \t" << RcorrJZBeemm->Integral() << " (JZB>0) , " << LcorrJZBeemm->Integral() << " (JZB<0) --> total: " << RcorrJZBeemm->Integral() + LcorrJZBeemm->Integral() << endl;
3597		dout << "     sideband: \t" << RcorrJZBSBeemm->Integral() << " (JZB>0) , " << LcorrJZBSBeemm->Integral() << " (JZB<0) --> total: " << RcorrJZBSBeemm->Integral() + LcorrJZBSBeemm->Integral() << endl;
3598		} else {
3599		dout << "     " << RcorrJZBeemm->Integral() << " (JZB>0) , " << LcorrJZBeemm->Integral() << " (JZB<0) --> total: " << RcorrJZBeemm->Integral() + LcorrJZBeemm->Integral() << endl;
3600		}
3601		dout << "OSOF: " << endl;
3602	<	if(PlottingSetup::RestrictToMassPeak) {
3602	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
3603		dout << "     Z window: \t" << RcorrJZBem->Integral() << " (JZB>0) , " << LcorrJZBem->Integral() << " (JZB<0) --> total: " << RcorrJZBem->Integral() + LcorrJZBem->Integral() << endl;
3604		dout << "     sideband: \t" << RcorrJZBSBem->Integral() << " (JZB>0) , " << LcorrJZBSBem->Integral() << " (JZB<0) --> total: " << RcorrJZBSBem->Integral() + LcorrJZBSBem->Integral() << endl;
3605		} else {
3606		dout << "     Z window: \t" << RcorrJZBem->Integral() << " (JZB>0) , " << LcorrJZBem->Integral() << " (JZB<0) --> total: " << RcorrJZBem->Integral() + LcorrJZBem->Integral() << endl;
3607		}
3608		dout << "Therefore: " << endl;
3609	<	if(PlottingSetup::RestrictToMassPeak) {
3609	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
3610		dout << "    Prediction increases by : " << LcorrJZBeemm->Integral() << " + (1.0/3)*(" << RcorrJZBSBeemm->Integral() <<"-"<< LcorrJZBSBeemm->Integral() << ") (SFSB) ";
3611		dout << " + (1.0/3)*(" << RcorrJZBem->Integral() <<"-"<< LcorrJZBem->Integral() << ") (OFZP) ";
3612		dout << " + (1.0/3)*(" << RcorrJZBSBem->Integral() <<"-"<< LcorrJZBSBem->Integral() << ") (OFSB) ";
#	Line 2694 | Line 3619 | void qcd_plots(string datajzb, string mc
3619		dout << "    Observation increases by : " << RcorrJZBeemm->Integral() << endl;
3620
3621		dout << endl;
3622	<	for(int i=0;i<bins.size();i++) {
3622	>	for(int i=0;i<(int)bins.size();i++) {
3623		dout << " JZB > " << bins[i] << " : " << endl;
3624		dout << "    Observation increases by : " << RcorrJZBeemm->Integral(RcorrJZBeemm->FindBin(bins[i]),RcorrJZBeemm->GetNbinsX()) << endl;
3625	<	if(PlottingSetup::RestrictToMassPeak) {
3625	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
3626		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;
3627		} else {
3628		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;
#	Line 2711 | Line 3636 | void qcd_plots(string datajzb, string mc
3636		if(LcorrJZBem) delete LcorrJZBem;
3637		if(RcorrJZBeemm) delete RcorrJZBeemm;
3638		if(LcorrJZBeemm) delete LcorrJZBeemm;
3639	<	if(PlottingSetup::RestrictToMassPeak&&RcorrJZBSBem) delete RcorrJZBSBem;
3640	<	if(PlottingSetup::RestrictToMassPeak&&LcorrJZBSBem) delete LcorrJZBSBem;
3641	<	if(PlottingSetup::RestrictToMassPeak&&RcorrJZBSBeemm) delete RcorrJZBSBeemm;
3642	<	if(PlottingSetup::RestrictToMassPeak&&LcorrJZBSBeemm) delete LcorrJZBSBeemm;
3639	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB&&RcorrJZBSBem) delete RcorrJZBSBem;
3640	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB&&LcorrJZBSBem) delete LcorrJZBSBem;
3641	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB&&RcorrJZBSBeemm) delete RcorrJZBSBeemm;
3642	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB&&LcorrJZBSBeemm) delete LcorrJZBSBeemm;
3643	>	}
3644	>
3645	>	void check_ptsanity() {
3646	>	TCanvas *ptsancan = new TCanvas("ptsancan","ptsancan",600,1800);
3647	>	TH1F *individualpt1histos[allsamples.collection.size()];
3648	>	TH1F *individualpt2histos[allsamples.collection.size()];
3649	>	TH1F *fpt1 = new TH1F("fpt1","fpt1",50,0,50);
3650	>	fpt1->GetYaxis()->SetRangeUser(0,1);
3651	>	fpt1->GetXaxis()->SetTitle("p_{T,1}");
3652	>	fpt1->GetXaxis()->CenterTitle();
3653	>
3654	>	TH1F *fpt2 = new TH1F("fpt2","fpt2",50,0,50);
3655	>	fpt2->GetXaxis()->SetTitle("p_{T,2}");
3656	>	fpt2->GetXaxis()->CenterTitle();
3657	>
3658	>	ptsancan->Divide(1,3);
3659	>	ptsancan->cd(1);
3660	>	float maxpt1entry=0;
3661	>	float maxpt2entry=0;
3662	>
3663	>	TLegend *leg = make_legend();
3664	>	leg->SetX1(0.0);
3665	>	leg->SetY1(0.0);
3666	>	leg->SetX2(1.0);
3667	>	leg->SetY2(1.0);
3668	>
3669	>
3670	>	for(int isample=0;isample<(int)allsamples.collection.size();isample++) {
3671	>	string nowname=(allsamples.collection)[isample].filename;
3672	>	cout << "Drawing: " << nowname << " (sample " << isample+1 << " / " << allsamples.collection.size() << ")" << endl;
3673	>	individualpt1histos[isample] = allsamples.Draw(GetNumericHistoName(),"pt1",50,0,50, "p_{T,1}", "events",cutOSSF&&cutnJets,mc,luminosity,allsamples.FindSample(nowname));
3674	>	individualpt2histos[isample] = allsamples.Draw(GetNumericHistoName(),"pt2",50,0,50, "p_{T,2}", "events",cutOSSF&&cutnJets,mc,luminosity,allsamples.FindSample(nowname));
3675	>	individualpt1histos[isample]->SetLineColor(isample+1);
3676	>	individualpt2histos[isample]->SetLineColor(isample+1);
3677	>	float currmaxpt1entry=individualpt1histos[isample]->GetMaximum()/individualpt1histos[isample]->Integral();
3678	>	float currmaxpt2entry=individualpt2histos[isample]->GetMaximum()/individualpt2histos[isample]->Integral();
3679	>	cout << "      pt 1 histo contains; " << individualpt1histos[isample]->Integral() << endl;
3680	>	cout << "      pt 2 histo contains; " << individualpt2histos[isample]->Integral() << endl;
3681	>	if(currmaxpt1entry>maxpt1entry)maxpt1entry=currmaxpt1entry;
3682	>	if(currmaxpt2entry>maxpt2entry)maxpt2entry=currmaxpt2entry;
3683	>	leg->AddEntry(individualpt2histos[isample],((allsamples.collection)[isample].filename).c_str(),"f");
3684	>	}
3685	>
3686	>	fpt1->GetYaxis()->SetRangeUser(0,maxpt1entry);
3687	>	fpt2->GetYaxis()->SetRangeUser(0,maxpt2entry);
3688	>
3689	>	ptsancan->cd(1);
3690	>	fpt1->Draw();
3691	>	ptsancan->cd(2);
3692	>	fpt2->Draw();
3693	>
3694	>	for(int isample=0;isample<(int)allsamples.collection.size();isample++) {
3695	>	ptsancan->cd(1);
3696	>	individualpt1histos[isample]->DrawNormalized("same,histo");
3697	>	ptsancan->cd(2);
3698	>	individualpt2histos[isample]->DrawNormalized("same,histo");
3699	>	}
3700	>	ptsancan->cd(3);
3701	>	leg->Draw();
3702	>	CompleteSave(ptsancan,"PtSanityCheck");
3703	>
3704	>	delete ptsancan;
3705	>	}
3706	>
3707	>	void do_mlls_plot(string mcjzb) {
3708	>	cout << "At this point we'd plot the mll distribution" << endl;
3709	>	TCanvas *sigcan = new TCanvas("sigcan","sigcan");
3710	>	for(int isig=0;isig<(int)(signalsamples.collection).size();isig++) {
3711	>	if(!(signalsamples.collection)[isig].events) continue;
3712	>	string nowname=(signalsamples.collection)[isig].filename;
3713	>	TH1F *mll = signalsamples.Draw("mllhisto","mll",150,0,150, "m_{ll}", "events",cutOSSF&&cutnJets,mc,luminosity,signalsamples.FindSample(nowname));
3714	>	//    TH1F *mll = signalsamples.Draw("mllhisto","mll",150,0,150, "m_{ll}", "events","",mc,luminosity,signalsamples.FindSample(nowname));
3715	>	mll->SetLineColor(TColor::GetColor("#04B404"));
3716	>	stringstream poscutS;
3717	>	poscutS << "((" << mcjzb <<")>50)";
3718	>	TCut poscut(poscutS.str().c_str());
3719	>	TH1F *mllP = signalsamples.Draw("mllhistoP","mll",150,0,150, "m_{ll}", "events",cutOSSF&&cutnJets&&poscut,mc,luminosity,signalsamples.FindSample(nowname));
3720	>	mllP->SetLineColor(TColor::GetColor("#0040FF"));
3721	>	mll->Draw("histo");
3722	>	mllP->Draw("histo,same");
3723	>	TLegend *leg = make_legend();
3724	>	leg->SetY1(0.8);
3725	>	leg->AddEntry(mll,(signalsamples.collection)[isig].samplename.c_str(),"L");
3726	>	leg->AddEntry(mllP,((signalsamples.collection)[isig].samplename+", JZB>50").c_str(),"L");
3727	>	leg->Draw();
3728	>	TLine *lin = new TLine(71.2,0,71.2,mll->GetMaximum());
3729	>	TLine *lin2 = new TLine(111.2,0,111.2,mll->GetMaximum());
3730	>	lin->Draw("same");
3731	>	lin2->Draw("same");
3732	>
3733	>	CompleteSave(sigcan,"MllShape/"+(signalsamples.collection)[isig].samplename);
3734	>	delete mll;
3735	>	delete mllP;
3736	>	}
3737		}
3738
3739	+	void met_vs_jzb_plots(string datajzb, string mcjzb) {
3740	+
3741	+	TCanvas *canmetjzb = new TCanvas("canmet","MET vs JZB canvas");
3742	+	canmetjzb->SetRightMargin(0.16);
3743	+
3744	+	vector<string> findme;
3745	+	findme.push_back("DY");
3746	+	findme.push_back("TTJets");
3747	+	findme.push_back("LM");
3748	+	/*
3749	+	for(int ifind=0;ifind<(int)findme.size();ifind++) {
3750	+	vector<int> selsamples = allsamples.FindSample(findme[ifind]);
3751	+	TH2F *metvsjzb = new TH2F("metvsjzb","metvsjzb",200,0,100,400,-100,100);
3752	+	for(int isel=0;isel<(int)selsamples.size();isel++) {
3753	+	dout << "Producing MET:JZB plot ... working on sample: " << allsamples.collection[selsamples[isel]].filename << endl;
3754	+	allsamples.collection[selsamples[isel]].events->Draw("jzb[1]:met[4]>>+metvsjzb",cutmass&&cutOSSF&&cutnJets);
3755	+	}
3756	+	metvsjzb->Scale(allsamples.collection[selsamples[0]].weight);
3757	+	metvsjzb->SetStats(0);
3758	+	metvsjzb->GetXaxis()->SetTitle("MET (GeV)");
3759	+	metvsjzb->GetYaxis()->SetTitle("JZB (GeV)");
3760	+	metvsjzb->GetXaxis()->CenterTitle();
3761	+	metvsjzb->GetYaxis()->CenterTitle();
3762	+	metvsjzb->Draw("COLZ");
3763	+	TText* title = write_text(0.5,0.95,allsamples.collection[selsamples[0]].samplename);
3764	+	title->SetTextAlign(12);
3765	+	title->Draw();
3766	+	CompleteSave(canmetjzb,(string)"METvsJZBplots/"+findme[ifind]);
3767	+	}
3768	+	*/
3769	+
3770	+	dout << "About to produce MET plot for DY split up by JZB" << endl;
3771	+
3772	+	int nbins=14;
3773	+	float low=0;
3774	+	float high=140;
3775	+
3776	+	stringstream sLEFT;
3777	+	sLEFT << "((" << mcjzb << ")<0)";
3778	+	TCut LEFT(sLEFT.str().c_str());
3779	+	stringstream sRIGHT;
3780	+	sRIGHT << "((" << mcjzb << ")>0)";
3781	+	TCut RIGHT(sRIGHT.str().c_str());
3782	+
3783	+	TH1F *metleft   = allsamples.Draw("metleft","met[4]",nbins,low,high, "MET [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&LEFT,mc, luminosity, allsamples.FindSample("DYJets"));
3784	+	TH1F *metleftO  = allsamples.Draw("metleftO","met[4]",nbins,low,high, "MET [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&LEFT,mc, luminosity, allsamples.FindSample("DYJets"));
3785	+	TH1F *metright  = allsamples.Draw("metright","met[4]",nbins,low,high, "MET [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&RIGHT,mc, luminosity, allsamples.FindSample("DYJets"));
3786	+	TH1F *metrightO = allsamples.Draw("metrightO","met[4]",nbins,low,high, "MET [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&RIGHT,mc, luminosity, allsamples.FindSample("DYJets"));
3787	+
3788	+
3789	+	TH1F *Bpred =  (TH1F*)metleft->Clone("Bpred");
3790	+	Bpred->Add(metleftO,-1);
3791	+	Bpred->Add(metrightO);
3792	+	TH1F *obs = (TH1F*)metright->Clone("obs");
3793	+
3794	+	metleft->Add(metleftO,-1);
3795	+	metright->Add(metrightO,-1);
3796	+
3797	+	metleft->SetLineColor(kRed);
3798	+	metright->SetLineColor(kBlack);
3799	+	TPad *metpad = new TPad("metpad","metpad",0,0,1,1);
3800	+	metpad->cd();
3801	+	metpad->SetLogy(1);
3802	+	metleft->Draw("histo");
3803	+	metright->Draw("same");
3804	+	TLegend *lg = make_legend();
3805	+	lg->SetX1(0.5);
3806	+	lg->SetY1(0.7);
3807	+	lg->AddEntry(metright,"JZB>0 (OSOF corrected)","P");
3808	+	lg->AddEntry(metleft,"JZB<0 (OSOF corrected)","L");
3809	+	lg->SetHeader("DY");
3810	+
3811	+	lg->Draw();
3812	+	save_with_ratio(metright,metleft,metpad->cd(),"METvsJZBplots/ComparingLeftToRightinMETspectrum");
3813	+
3814	+	TPad *metpad3 = new TPad("metpad3","metpad3",0,0,1,1);
3815	+	metpad3->cd();
3816	+	metpad3->SetLogy(1);
3817	+	Bpred->SetLineColor(kRed);
3818	+	Bpred->Draw("histo");
3819	+	obs->SetLineColor(kBlack);
3820	+	obs->Draw("same");
3821	+	TLegend *lg2 = make_legend();
3822	+	lg2->SetX1(0.5);
3823	+	lg2->SetY1(0.7);
3824	+	lg2->AddEntry(obs,"observed","P");
3825	+	lg2->AddEntry(Bpred,"predicted","L");
3826	+	lg2->SetHeader("DY");
3827	+
3828	+	lg2->Draw();
3829	+
3830	+	save_with_ratio(obs,Bpred,metpad3->cd(),"METvsJZBplots/ComparingPredObsinMET");
3831	+
3832	+	TPad *metpad2 = new TPad("metpad2","metpad2",0,0,1,1);
3833	+	metpad2->cd();
3834	+	metpad2->SetLogy(1);
3835	+
3836	+	TH1F *metlefta   = allsamples.Draw("metlefta","met[2]",nbins,low,high, "MET [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&LEFT,mc, luminosity, allsamples.FindSample("DYJets"));
3837	+	TH1F *metleftOa  = allsamples.Draw("metleftOa","met[2]",nbins,low,high, "MET [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&LEFT,mc, luminosity, allsamples.FindSample("DYJets"));
3838	+	TH1F *metrighta  = allsamples.Draw("metrighta","met[2]",nbins,low,high, "MET [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&RIGHT,mc, luminosity, allsamples.FindSample("DYJets"));
3839	+	TH1F *metrightOa = allsamples.Draw("metrightOa","met[2]",nbins,low,high, "MET [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&RIGHT,mc, luminosity, allsamples.FindSample("DYJets"));
3840	+
3841	+	metlefta->Add(metleftOa,-1);
3842	+	metrighta->Add(metrightOa,-1);
3843	+
3844	+	metlefta->SetLineColor(kRed);
3845	+	metpad2->cd();
3846	+	metlefta->Draw("histo");
3847	+	metrighta->Draw("same");
3848	+	lg->Draw();
3849	+	save_with_ratio(metrighta,metlefta,metpad2->cd(),"METvsJZBplots/ComparingLeftToRightinMET_type1_spectrum");
3850	+
3851	+	delete Bpred;
3852	+	delete obs;
3853	+
3854	+	float newhigh=300;
3855	+	int newNBins=30;
3856	+
3857	+	TPad *metpad4 = new TPad("metpad4","metpad4",0,0,1,1);
3858	+	TH1F *Ametleft   = allsamples.Draw("Ametleft","met[4]",newNBins,low,newhigh, "MET [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&LEFT,mc, luminosity);
3859	+	TH1F *AmetleftO  = allsamples.Draw("AmetleftO","met[4]",newNBins,low,newhigh, "MET [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&LEFT,mc, luminosity);
3860	+	TH1F *Ametright  = allsamples.Draw("Ametright","met[4]",newNBins,low,newhigh, "MET [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&RIGHT,mc, luminosity);
3861	+	TH1F *AmetrightO = allsamples.Draw("AmetrightO","met[4]",newNBins,low,newhigh, "MET [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&RIGHT,mc, luminosity);
3862	+
3863	+	TH1F *aBpred = (TH1F*)Ametleft->Clone("aBpred");
3864	+	aBpred->Add(AmetleftO,-1);
3865	+	aBpred->Add(AmetrightO);
3866	+	aBpred->SetLineColor(kRed);
3867	+
3868	+	TH1F *aobs = (TH1F*)Ametright->Clone("aobs");
3869	+	metpad4->cd();
3870	+	metpad4->SetLogy(1);
3871	+	aobs->Draw();
3872	+	aBpred->Draw("histo,same");
3873	+	aobs->Draw("same");
3874	+	lg->SetHeader("All MC");
3875	+	lg->Draw();
3876	+	save_with_ratio(aobs,aBpred,metpad4->cd(),"METvsJZBplots/ComparingPredObsinMET_ALLSAMPLES");
3877	+
3878	+
3879	+	delete lg;
3880	+	delete canmetjzb;
3881	+	delete metleft;
3882	+	delete metleftO;
3883	+	delete metright;
3884	+	delete metrightO;
3885	+	}
3886	+
3887	+
3888		void test() {
3889
3890		TCanvas *testcanv = new TCanvas("testcanv","testcanv");
3891		testcanv->cd();
3892	<	switch_overunderflow(true);
3892	>	//  switch_overunderflow(true);
3893		TH1F *ptdistr   = allsamples.Draw("ptdistr","pt1",100,30,200, "p_{T} [GeV]", "events", cutOSSF,data,luminosity);
3894		switch_overunderflow(false);
3895		ptdistr->Draw();

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