[ViewVC] Diff of: cvsroot/UserCode/cbrown/Development/Plotting/Modules/Plotting

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 1.67 by buchmann, Fri Sep 14 10:18:31 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	+	bool overunderflowstatus=addoverunderflowbins;
93	+	switch_overunderflow(false);
94	+
95	+	TCut SpecialCut("mll>=0");
96	+	if(sSpecialCut!="") SpecialCut=TCut(sSpecialCut.c_str());
97	+
98	+	bool DoInvidualeemmPeaks=false;
99	+
100	+	float mcpeak, datapeak;
101	+	float mcpeakerr, datapeakerr;
102	+
103	+	float mceepeak,mcmmpeak;
104	+	float mceepeakerr,mcmmpeakerr;
105	+
106	+	float datammpeak,dataeepeak;
107	+	float datammpeakerr,dataeepeakerr;
108	+
109	+	float mcSigma,mcSigmaError, dataSigma, dataSigmaError;
110	+
111	+	dout << "Finding global peak : " << endl;
112	+	find_one_peak_combination(SpecialCut,SwitchOffNJetsCut,mcpeak,mcpeakerr, datapeak,datapeakerr,mcSigma,mcSigmaError, dataSigma,dataSigmaError,result,doPUreweighting,"");
113	+
114	+	if(DoInvidualeemmPeaks) {
115	+	dout << "Finding peak for electrons : " << endl;
116	+	find_one_peak_combination(SpecialCut&&TCut("id1==0"),SwitchOffNJetsCut,mceepeak,mceepeakerr,dataeepeak,dataeepeakerr,mcSigma,mcSigmaError,dataSigma,dataSigmaError,result,doPUreweighting,"_ele");
117	+	dout << "Finding peak for muons : " << endl;
118	+	find_one_peak_combination(SpecialCut&&TCut("id1==1"),SwitchOffNJetsCut,mcmmpeak,mcmmpeakerr,datammpeak,datammpeakerr,mcSigma,mcSigmaError,dataSigma,dataSigmaError,result,doPUreweighting,"_mu");
119	+
120	+	datajzb << "(" << jzbvariabledata;
121	+	mcjzb << "(" << jzbvariablemc;
122	+
123	+	if(dataeepeak>0) datajzb << "- (id1==id2)(id1==0)" << TMath::Abs(dataeepeak) << " ";
124	+	else datajzb << "+ (id1==id2)(id1==0)" << TMath::Abs(dataeepeak) << " ";
125	+
126	+	if(datammpeak>0) datajzb << "- (id1==id2)(id1==1)" << TMath::Abs(datammpeak) << " ";
127	+	else datajzb << "+ (id1==id2)(id1==1)" << TMath::Abs(datammpeak) << " ";
128	+
129	+	if(datapeak>0) datajzb << "- (id1!=id2)*" << TMath::Abs(datapeak) << " ";
130	+	else datajzb << "+ (id1!=id2)*" << TMath::Abs(datapeak) << " ";
131	+
132	+	datajzb << ")";
133	+
134	+	if(mceepeak>0) mcjzb << "- (id1==id2)(id1==0)" << TMath::Abs(mceepeak) << " ";
135	+	else mcjzb << "+ (id1==id2)(id1==0)" << TMath::Abs(mceepeak) << " ";
136	+
137	+	if(mcmmpeak>0) mcjzb << "- (id1==id2)(id1==1)" << TMath::Abs(mcmmpeak) << " ";
138	+	else mcjzb << "+ (id1==id2)(id1==1)" << TMath::Abs(mcmmpeak) << " ";
139	+
140	+	if(mcpeak>0) mcjzb << "- (id1!=id2)*" << TMath::Abs(mcpeak) << " ";
141	+	else mcjzb << "+ (id1!=id2)*" << TMath::Abs(mcpeak) << " ";
142	+
143	+	mcjzb << ")";
144	+
145	+	} else {
146	+	datajzb << "(" << jzbvariabledata;
147	+	mcjzb << "(" << jzbvariablemc;
148	+
149	+	if(datapeak>0) datajzb << "- " << TMath::Abs(datapeak) << " ";
150	+	else datajzb << "+ " << TMath::Abs(datapeak) << " ";
151	+
152	+	datajzb << ")";
153	+
154	+	if(mcpeak>0) mcjzb << "- " << TMath::Abs(mcpeak) << " ";
155	+	else mcjzb << "+ " << TMath::Abs(mcpeak) << " ";
156	+
157	+	mcjzb << ")";
158	+	}
159	+
160	+	MCPeak=mcpeak;
161	+	MCPeakError=mcpeakerr;
162	+	DataPeak=datapeak;
163	+	DataPeakError=datapeakerr;
164	+	switch_overunderflow(overunderflowstatus);
165	+	}
166	+
167	+	void make_special_obs_pred_mll_plot(string datajzb, string mcjzb, float jzbthreshold, float binWidth = 5.0) {
168	+	float min=70.0;
169	+	float max=115.0;
170	+	if(!PlottingSetup::RestrictToMassPeak) {
171	+	min=20;
172	+	max=300;
173	+	}
174	+	int nbins=int((max-min)/binWidth);
175	+
176	+	TCanvas *ckin = new TCanvas("ckin","Kinematic Plots (in the making)",600,600);
177	+
178	+	stringstream largerzeroS;
179	+	largerzeroS << "(" << datajzb << ">" << jzbthreshold << ")";
180	+	TCut largerzeroD(largerzeroS.str().c_str());
181	+
182	+	stringstream smallerzeroS;
183	+	smallerzeroS << "(" << datajzb << "<-" << jzbthreshold << ")";
184	+	TCut smallerzeroD(smallerzeroS.str().c_str());
185	+
186	+
187	+	stringstream largerzeroMS;
188	+	largerzeroMS << "(" << mcjzb << ">" << jzbthreshold << ")";
189	+	TCut largerzeroM(largerzeroMS.str().c_str());
190	+
191	+	TH1F *RcorrJZBeemm = allsamples.Draw("RcorrJZBeemm", "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzeroD,data,luminosity);
192	+	THStack mcRcorrJZBeemm = allsamples.DrawStack("mcRcorrJZBeemm","mll",nbins,min,max, "m_{ll} [GeV}", "events", cutmass&&cutOSSF&&cutnJets&&largerzeroM,mc,luminosity);
193	+	TH1F *LcorrJZBeemm = allsamples.Draw("LcorrJZBeemm", "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&smallerzeroD,data,luminosity);
194	+	TH1F *RcorrJZBem = allsamples.Draw("RcorrJZBem", "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&largerzeroD,data,luminosity);
195	+	TH1F *LcorrJZBem = allsamples.Draw("LcorrJZBem", "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&smallerzeroD,data,luminosity);
196	+
197	+	TH1F *RcorrJZBSBem;
198	+	TH1F *LcorrJZBSBem;
199	+	TH1F *RcorrJZBSBeemm;
200	+	TH1F *LcorrJZBSBeemm;
201	+
202	+	// TH1F *RcorrJZBeemmNoS;
203	+
204	+	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
205	+	RcorrJZBSBem = allsamples.Draw("RcorrJZBSBem", "mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&largerzeroD,data, luminosity);
206	+	LcorrJZBSBem = allsamples.Draw("LcorrJZBSBem", "mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&smallerzeroD,data, luminosity);
207	+	RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm","mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&largerzeroD,data, luminosity);
208	+	LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm","mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&smallerzeroD,data, luminosity);
209	+	}
210	+
211	+	// Separate predictions
212	+	TH1F* SFN = (TH1F*)LcorrJZBeemm->Clone("SFN");
213	+	TH1F* OFP = (TH1F*)RcorrJZBem->Clone("OFP");
214	+	TH1F* OFN = (TH1F*)LcorrJZBem->Clone("OFN");
215	+	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
216	+	OFP->Scale(1.0/3.0);
217	+	OFP->Add(RcorrJZBSBem,1.0/3.);
218	+	OFP->Add(RcorrJZBSBeemm,1.0/3.);
219	+	OFN->Scale(1.0/3.0);
220	+	OFN->Add(LcorrJZBSBem,1.0/3.);
221	+	OFN->Add(LcorrJZBSBeemm,1.0/3.);
222	+	}
223	+
224	+	TH1F* Bpred = (TH1F*)SFN->Clone("Bpred");
225	+	Bpred->Add(OFP);
226	+	Bpred->Add(OFN,-1);
227	+	Bpred->SetLineColor(kRed);
228	+
229	+	RcorrJZBeemm->SetTitleOffset(1.3,"y");
230	+	RcorrJZBeemm->Draw();
231	+	mcRcorrJZBeemm.Draw("same");
232	+	Bpred->Draw("histo,same");
233	+	RcorrJZBeemm->Draw("same");
234	+
235	+	TLegend *leg = allsamples.allbglegend();
236	+	leg->SetX1(0.58);
237	+	leg->AddEntry(RcorrJZBeemm,"observed (data)","l");
238	+	leg->AddEntry(Bpred,"predicted (data)","l");
239	+	leg->Draw("same");
240	+
241	+	stringstream saveas;
242	+	saveas << "kin/Mll_After_Cut/Cut_At" << jzbthreshold;
243	+	CompleteSave(ckin,saveas.str());
244	+
245	+	// Draw all predictions overlayed
246	+	unsigned int w = gStyle->GetHistLineWidth()+1; // Make line a bit wider, since we dash it
247	+	SFN->SetLineColor(kGreen+2);
248	+	SFN->SetLineStyle(2);
249	+	SFN->SetLineWidth(w);
250	+	OFP->SetLineColor(kBlue+2);
251	+	OFP->SetLineStyle(2);
252	+	OFP->SetLineWidth(w);
253	+	OFN->SetLineColor(kMagenta+2);
254	+	OFN->SetLineStyle(3);
255	+	OFN->SetLineWidth(w);
256	+
257	+	RcorrJZBeemm->Draw();
258	+	SFN->Draw("histo,same");
259	+	OFP->Draw("histo,same");
260	+	OFN->Draw("histo,same");
261	+	Bpred->Draw("histo,same");
262	+	RcorrJZBeemm->Draw("same");
263	+
264	+	TLegend *leg2 = make_legend("",0.52,0.7);
265	+	leg2->AddEntry(RcorrJZBeemm,"observed (data)","lp");
266	+	leg2->AddEntry(Bpred,"predicted (data)","l");
267	+	leg2->AddEntry(SFN, " SF JZB<0","l");
268	+	leg2->AddEntry(OFN, " OF JZB<0","l");
269	+	leg2->AddEntry(OFP, " OF JZB>0","l");
270	+	leg2->Draw("same");
271	+
272	+	saveas.str("");
273	+	saveas << "kin/Mll_After_Cut/Cut_At" << jzbthreshold << "_nomc";
274	+	CompleteSave(ckin,saveas.str());
275	+
276	+	delete RcorrJZBeemm;
277	+	delete LcorrJZBeemm;
278	+	delete RcorrJZBem;
279	+	delete LcorrJZBem;
280	+	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
281	+	delete RcorrJZBSBeemm;
282	+	delete LcorrJZBSBeemm;
283	+	delete RcorrJZBSBem;
284	+	delete LcorrJZBSBem;
285	+	}
286	+	delete Bpred;
287	+	delete ckin;
288	+	}
289	+
290		void make_special_mll_plot(int nbins, float min, float max, bool logscale,string xlabel) {
291
292		TCanvas *ckin = new TCanvas("ckin","Kinematic Plots (in the making)",600,600);
#	Line 102 \| Line 321 \| void make_special_mll_plot(int nbins, fl
321		TIter next(bgleg->GetListOfPrimitives());
322		TObject* obj;
323		// Copy the nice bkgd legend skipping the "data"
324	<	while ( obj = next() )
324	>	while ( (obj = next()) )
325		if ( strcmp(((TLegendEntry*)obj)->GetObject()->GetName(),"datahistoOSSF") )
326		kinleg->GetListOfPrimitives()->Add(obj);
327
#	Line 121 \| Line 340 \| *void draw_ratio_plot(TH1 hdata, THStack**
340		TIter next(hmc.GetHists());
341		TObject* obj;
342		TH1* hratio = NULL;
343	<	while ( obj = next() ) {
343	>	while ( (obj = next()) ) {
344		if ( !hratio ) {
345		hratio = (TH1*)obj->Clone();
346		hratio->SetName("hratio");
#	Line 152 \| Line 371 \| *void draw_ratio_plot(TH1 hdata, THStack**
371		oneline->Draw("same");
372		}
373
374	+	float make_one_OFSF_plot(string variable, string addcut, string legendTitle, int nbins, float min, float max, float ymax, bool logscale,
375	+	string xlabel, string filename, float legendPosition=0.55) {
376	+
377	+	TCut ibasiccut=basiccut;
378	+	bool draw_separation_lines=false;
379	+
380	+	if(addcut != "") ibasiccut = ibasiccut && addcut.c_str();
381	+
382	+	TCut cutSF;
383	+	TCut cutOF;
384	+
385	+	cutOF = cutOSOF&&cutnJets&&ibasiccut;
386	+	cutSF = cutOSSF&&cutnJets&&ibasiccut;
387	+
388	+	TCanvas *ckin = new TCanvas("ckin","Kinematic Plots (in the making)",600,600);
389	+	TPad* rcan = new TPad("rcan","rcan",0,0,1,1);
390	+	rcan->SetLogy(logscale);
391	+	rcan->cd();
392	+
393	+	std::cout << "OF/SF comparison: variable = " << variable << ", cut = " << cutSF.GetTitle() << std::endl;
394	+	TH1F *datahistoSF = allsamples.Draw("datahistoSF",variable,nbins,min,max, xlabel, "events",cutSF,data,luminosity);
395	+	TH1F *datahistoOF = allsamples.Draw("datahistoOF",variable,nbins,min,max, xlabel, "events",cutOF,data,luminosity);
396	+	// string signal("LM3");
397	+	// TH1F* signalhisto = new TH1F("signalhisto",signal.c_str(),nbins,min,max);
398	+	// int idx = signalsamples.FindSample(signal)[0];
399	+	// (signalsamples.collection)[idx].events->Project("signalhisto",variable.c_str(),cutSF);
400	+	// signalhisto->Scale((signalsamples.collection)[idx].weight*luminosity);
401	+	// signalhisto->SetLineColor((signalsamples.collection)[idx].samplecolor);
402	+	// signalhisto->SetLineStyle(2);
403	+	datahistoSF->SetMarkerSize(DataMarkerSize);
404	+	datahistoOF->SetLineColor(kRed);
405	+
406	+	if ( !logscale ) {
407	+	datahistoSF->SetMinimum(0); // Defaults
408	+	} else {
409	+	datahistoSF->SetMinimum(0.5);
410	+	}
411	+	if (ymax<0) {
412	+	if ( logscale ) datahistoSF->SetMaximum(5.3*datahistoSF->GetMaximum());
413	+	else datahistoSF->SetMaximum(1.5*datahistoSF->GetMaximum());
414	+	} else {
415	+	datahistoSF->SetMaximum(ymax);
416	+	}
417	+
418	+	float ymaxSet = datahistoSF->GetMaximum();
419	+
420	+	datahistoSF->GetXaxis()->SetTitle(xlabel.c_str());
421	+	datahistoSF->GetYaxis()->SetTitle("Events");
422	+	datahistoSF->GetXaxis()->CenterTitle();
423	+	datahistoSF->GetYaxis()->CenterTitle();
424	+
425	+	TLegend *mleg = make_legend(legendTitle.c_str(),legendPosition,0.7,false,legendPosition+0.2);
426	+	mleg->AddEntry(datahistoSF, "Same-flavor", "PL");
427	+	if (datahistoOF->Integral()>0) {
428	+	mleg->AddEntry(datahistoOF, "Opposite-flavor", "L");
429	+	} else {
430	+	mleg->AddEntry((TObject*)0, "", "");
431	+	}
432	+	//mleg->AddEntry(signalhisto, "LM3", "L");
433	+
434	+	datahistoSF->Draw("E1");
435	+	if (datahistoOF->Integral()>0) datahistoOF->Draw("HIST,SAMES");
436	+	//signalhisto->Draw("HIST,SAMES");
437	+	mleg->Draw();
438	+	DrawPrelim();
439	+	if (datahistoOF->Integral()>0) {
440	+	save_with_ratio( datahistoSF, datahistoOF, rcan, "SFOF/" + filename, false, false, "SF/OF" );
441	+	} else {
442	+	CompleteSave(rcan, "SFOF/" + filename);
443	+	delete rcan;
444	+	}
445	+
446	+	datahistoSF->Delete();
447	+	datahistoOF->Delete();
448	+	//signalhisto->Delete();
449	+	delete mleg;
450	+	delete ckin;
451	+
452	+	return ymaxSet;
453	+
454	+	}
455	+
456	+	// Compare data to data
457	+	float make_data_comparison_plot(string variable, TCut cut, int nbins, float min, float max, float ymax, bool logscale,
458	+	string xlabel, string filename, float legendPosition=0.55) {
459	+
460	+	TCut ibasiccut=basiccut&&cut;
461	+
462	+	TCanvas *ckin = new TCanvas("ckin","Kinematic Plots (in the making)",600,600);
463	+	TPad* rcan = new TPad("rcan","rcan",0,0,1,1);
464	+	rcan->SetLogy(logscale);
465	+	rcan->cd();
466	+
467	+	std::cout << "Data comparison: variable = " << variable << ", cut = " << ibasiccut.GetTitle() << std::endl;
468	+
469	+	TH1F *data1 = allsamples.Draw("data1",variable,nbins,min,max, xlabel, "events",ibasiccut,data,luminosity);
470	+	TH1F *data2 = comparesamples.Draw("data2",variable,nbins,min,max, xlabel, "events",ibasiccut,data,luminosity);
471	+
472	+	data1->SetMarkerSize(DataMarkerSize);
473	+	data2->SetLineColor(kRed);
474	+
475	+	if ( !logscale ) {
476	+	data1->SetMinimum(0); // Defaults
477	+	} else {
478	+	data1->SetMinimum(0.5);
479	+	}
480	+	if (ymax<0) {
481	+	if ( logscale ) data1->SetMaximum(5.3*data1->GetMaximum());
482	+	else data1->SetMaximum(1.5*data1->GetMaximum());
483	+	} else {
484	+	data1->SetMaximum(ymax);
485	+	}
486	+
487	+	float ymaxSet = data1->GetMaximum();
488	+
489	+	data1->GetXaxis()->SetTitle(xlabel.c_str());
490	+	data1->GetYaxis()->SetTitle("Events");
491	+	data1->GetXaxis()->CenterTitle();
492	+	data1->GetYaxis()->CenterTitle();
493	+
494	+	TLegend *mleg = make_legend("",legendPosition,0.7,false,legendPosition+0.2);
495	+	mleg->AddEntry(data1, "New 3.8/fb", "PL");
496	+	mleg->AddEntry(data2, "Old 5.1/fb", "L");
497	+
498	+	data1->Draw("E1");
499	+	data2->Draw("HIST,SAMES");
500	+	mleg->Draw();
501	+	DrawPrelim();
502	+	save_with_ratio( data1, data2, rcan, "compareData/" + filename, false, false, "old/new" );
503	+
504	+	data1->Delete();
505	+	data2->Delete();
506	+	delete mleg;
507	+	delete ckin;
508	+
509	+	}
510	+
511	+	void make_OFSF_plots(string variable, string addcut, int nbins, float min, float max, bool logscale,
512	+	string xlabel, string filename, float legendPosition=0.55) {
513	+
514	+	string mllcuts[] = { "mll>15","mll>15&&mll<70", "mll>75&&mll<105", "mll>120" };
515	+	string mllcutname[] = { "m_{ll} > 15 GeV", "15 < m_{ll} < 70 GeV", "70 < m_{ll} < 110 GeV", "m_{ll} > 120 GeV" };
516	+	string plotname[] = {"_all","_low","_peak","_high"};
517	+	float ymax;
518	+
519	+	int start = 0;
520	+	if ( !PlottingSetup::openBox ) start = 3;
521	+
522	+	for ( int i=start; i<4; ++i ) {
523	+	if ( addcut != "" ) mllcuts[i] += "&&"+addcut;
524	+	if ( i==start ) {
525	+	ymax = make_one_OFSF_plot(variable, mllcuts[i], mllcutname[i], nbins, min, max, -1, logscale, xlabel,
526	+	filename+plotname[i], legendPosition );
527	+	} else {
528	+	make_one_OFSF_plot(variable, mllcuts[i], mllcutname[i], nbins, min, max, ymax, logscale, xlabel,
529	+	filename+plotname[i], legendPosition );
530	+	}
531	+	make_one_OFSF_plot(variable, "id1==1&&id1==id2&&"+mllcuts[i], mllcutname[i], nbins, min, max, ymax, logscale, xlabel,
532	+	filename+plotname[i]+"_mm", legendPosition );
533	+	make_one_OFSF_plot(variable, "id1==0&&id1==id2&&"+mllcuts[i], mllcutname[i], nbins, min, max, ymax, logscale, xlabel,
534	+	filename+plotname[i]+"_ee", legendPosition );
535	+	}
536	+
537	+	}
538	+
539	+
540		float lastrange_min=0;
541		float lastrange_max=0;
542
#	Line 160 \| Line 545 \| void make_kin_plot(string variable, stri
545		// TCut basiccut("(pfJetGoodNum>=2&&pfJetGoodID[0])&&(pfJetGoodNum>=2&&pfJetGoodID[1])&&(passed_triggers\|\|!is_data)");
546		TCut ibasiccut=basiccut;
547		bool draw_separation_lines=false;
548	+	bool drawsignal = false;
549
550		if(isPF) ibasiccut=basiccut&&"pfjzb[0]>-998";
551
#	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" \|\| filename=="nJets_met100" \|\| filename=="nJets_inclusive_met100") cut=cutmass&&cutOSSF&&ibasiccut;
571	>	if(filename=="nJets_osof" \|\| filename=="nJets_osof_inclusive" \|\| filename=="nJets_osof_met100" \|\| filename=="nJets_osof_inclusive_met100") cut=cutmass&&cutOSOF&&ibasiccut;
572		if(filename=="nJets_nocuts_except_mll_ossf") cut=cutmass&&cutOSSF;
573	<	if(filename=="mll") {
573	>	if(filename=="mll"\|\|filename=="mll_met100") {
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_osof") {
577	>	if(filename=="mll_ee"\|\|filename=="mll_ee_met100") cut=cutOSSF&&cutnJets&&ibasiccut&&"id1==0";
578	>	if(filename=="mll_mm"\|\|filename=="mll_mm_met100") cut=cutOSSF&&cutnJets&&ibasiccut&&"id1==1";
579	>	if(filename=="mll_osof"\|\|filename=="mll_osof_met100") {
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;
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=cutOSSF;
588		if(filename=="mll_inclusive_osof") cut=cutOSOF;
589		if(filename=="mll_inclusive_ee") cut=cutOSSF&&"id1==0";
590		if(filename=="mll_inclusive_mm") cut=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 << " for plot " << filename << 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	+	if(drawsignal) (signalsamples.collection)[idx].events->Project("signalhisto",variable.c_str(),cut);
626	+	if(drawsignal) signalhisto->Scale((signalsamples.collection)[idx].weight*luminosity);
627	+	if(drawsignal) 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	+	if(drawsignal) 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	+	if(drawsignal) kinleg->AddEntry("signalhisto",signal.c_str(),"l");
685		kinleg->Draw();
686		write_cut->Draw();
687		DrawPrelim();
#	Line 288 \| Line 696 \| void make_kin_plot(string variable, stri
696		else CompleteSave(ckin,"kin/"+filename);
697		}
698		datahisto->Delete();
699	+	delete signalhisto;
700		delete ckin;
701		}
702
703	<
295	<	void make_JES_plot() {
703	>	void make_JES_plot(TCut cut, string name) {
704
705		int nbins=10;
706		float min=-0.5;
707		float max = 9.5;
708		bool logscale=true;
709		string xlabel="nJets";
302	–	TCut cut=cutmass&&cutOSSF&&basiccut;
710
711		TCanvas *ckin = new TCanvas("ckin","Kinematic Plots (in the making)",600,600);
712		ckin->SetLogy(logscale);
713	<	TH1F *datahisto = allsamples.Draw("datahisto","pfJetGoodNum",nbins,min,max, xlabel, "events",cut,data,luminosity);
713	>	TH1F *datahisto = allsamples.Draw("datahisto","pfJetGoodNum40",nbins,min,max, xlabel, "events",cut,data,luminosity);
714		datahisto->SetMarkerSize(DataMarkerSize);
715	<	THStack mcstack = allsamples.DrawStack("mcstack","pfJetGoodNum",nbins,min,max, xlabel, "events",cut,mc,luminosity);
716	<	TH1F *JESup = allsamples.Draw("JESup","pfJetGoodNum315",nbins,min,max, xlabel, "events",cut,mc,luminosity);
717	<	TH1F *JESdn = allsamples.Draw("JESdn","pfJetGoodNum285",nbins,min,max, xlabel, "events",cut,mc,luminosity);
715	>	THStack mcstack = allsamples.DrawStack("mcstack","pfJetGoodNum40",nbins,min,max, xlabel, "events",cut,mc,luminosity);
716	>	TH1F *JESup = allsamples.Draw("JESup","pfJetGoodNum40p1sigma",nbins,min,max, xlabel, "events",cut,mc,luminosity);
717	>	TH1F *JESdn = allsamples.Draw("JESdn","pfJetGoodNum40n1sigma",nbins,min,max, xlabel, "events",cut,mc,luminosity);
718
719		datahisto->SetMinimum(1);
720		datahisto->SetMaximum(5.3*datahisto->GetMaximum()); // in line with kinematic plots style
#	Line 332 \| Line 739 \| void make_JES_plot() {
739		TLegend *kinleg = allsamples.allbglegend();
740		kinleg->AddEntry(JESunc,"JES uncertainty","f");
741		kinleg->Draw();
742	<	CompleteSave(ckin,"Systematics/JES");
742	>	CompleteSave(ckin,"Systematics/JES"+name);
743		datahisto->Delete();
744		delete ckin;
745
#	Line 340 \| Line 747 \| void make_JES_plot() {
747
748		void do_kinematic_plots(string mcjzb, string datajzb, bool doPF=false)
749		{
750	+	// switch_overunderflow(true);
751		bool dolog=true;
752		bool nolog=false;
753	+
754	+	bool doOFSF = false;
755	+	bool doKin = true;
756	+	bool doDataComp = false;
757	+
758	+
759		if(doPF) write_warning(__FUNCTION__,"Please use caution when trying to produce PF plots; not all versions of the JZB trees have these variables!");
760	<	float mll_low=40;
760	>	float mll_low=50;
761		float mll_hi=160;
762		if(!PlottingSetup::RestrictToMassPeak) {
763	<	mll_low=30;
764	<	mll_hi=180;
763	>	mll_low=20;
764	>	mll_hi=320;
765		}
766	<	make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll",doPF,true);
767	<	make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_osof",doPF,true,true);
768	<	make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_ee",doPF,true);
769	<	make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_mm",doPF,true);
770	<	make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive",doPF,true);
771	<	make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_ee",doPF,true);
772	<	make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_mm",doPF,true);
773	<	make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_osof",doPF,true);
774	<	make_kin_plot("mll","",(int)((350-mll_low)),mll_low,350,dolog,"m_{ll} [GeV]","mll_inclusive_highrange",doPF);
775	<	make_kin_plot("jetpt[0]","",40,0,200,dolog,"leading jet p_{T} [GeV]","pfJetGoodPt_0",doPF);
776	<	make_kin_plot("jeteta[0]","",40,-5,5,nolog,"leading jet #eta","pfJetGoodEta_0",doPF);
777	<	make_kin_plot("pt","",50,0,400,dolog,"Z p_{T} [GeV]","Zpt",doPF);
778	<	make_kin_plot("pt1","",50,0,100,nolog,"p_{T} [GeV]","pt1",doPF);
779	<	make_kin_plot("pt2","",50,0,100,nolog,"p_{T} [GeV]","pt2",doPF);
780	<	make_kin_plot("eta1","",40,-5,5,nolog,"#eta_{l}","eta",doPF);
781	<	make_kin_plot("jzb[1]","",100,-150,150,dolog,"JZB [GeV]","jzb_ossf",doPF);
782	<	make_kin_plot("pfJetGoodNum","",8,0.5,8.5,dolog,"nJets","nJets",doPF);
783	<	make_kin_plot("pfJetGoodNum","",8,0.5,8.5,dolog,"nJets","nJets_nocuts_except_mll_ossf",doPF);
784	<	if(!doPF) make_special_mll_plot((int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]");
785	<	stringstream jzbcut;
786	<	jzbcut << "((is_data&&("<<datajzb<<")>100)\|\|(!is_data&&("<<mcjzb<<")>100))";
787	<	make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB100",doPF,true);
766	>
767	>	if ( doOFSF ) {
768	>	make_OFSF_plots("mll", "met[4]>100", 60, 20., 320., false, "m_{ll}", "mll");
769	>
770	>	make_OFSF_plots("pfJetGoodNum40", "met[4]>100", 7, 3, 10, true, "#(jets)", "njets");
771	>	make_OFSF_plots("pfJetGoodNum40", "met[4]>100&&pfJetGoodNumBtag30==0", 7, 3, 10, true, "#(jets)", "njets_btagVeto");
772	>	make_OFSF_plots("pfJetGoodNum40", "met[4]>100&&pfJetGoodNumBtag30>0", 7, 3, 10, true, "#(jets)", "njets_AtLeastOneBJet30");
773	>
774	>	make_OFSF_plots("pfJetGoodNumBtag30", "met[4]>100", 5, 0, 5, true, "#(b-jets)", "nbjets");
775	>	make_OFSF_plots("pfJetGoodPtBtag[0]", "met[4]>100&&pfJetGoodNumBtag30>0", 20, 0, 400, true, "p_{T}(leading b-jet)", "ptb1");
776	>
777	>	make_OFSF_plots("iso1", "met[4]>100", 20, 0, 0.3, true, "lepton 1 isolation", "iso1");
778	>	make_OFSF_plots("iso2", "met[4]>100", 20, 0, 0.3, true, "lepton 2 isolation", "iso2");
779	>	// make_OFSF_plots("pt1", "met[4]>100", 30, 0., 300., true, "p_{T,1}", "pt1");
780	>	// make_OFSF_plots("pt2", "met[4]>100", 22, 0., 220., true, "p_{T,2}", "pt2");
781	>	make_OFSF_plots("eta1", "met[4]>100", 10, -2.5, 2.5, false, "#eta_{1}", "eta1", 0.15);
782	>	make_OFSF_plots("eta2", "met[4]>100", 10, -2.5, 2.5, false, "#eta_{2}", "eta2", 0.15);
783	>	// make_OFSF_plots("phi1", "met[4]>100", 10, -TMath::Pi(), TMath::Pi(), false, "#phi_{1}", "phi1", 0.2);
784	>	// make_OFSF_plots("phi2", "met[4]>100", 10, -TMath::Pi(), TMath::Pi(), false, "#phi_{2}", "phi2", 0.2);
785	>	// make_OFSF_plots("pfJetGoodPt[0]/pfJetGoodPt[1]", "met[4]>100", 20, 1, 10, true, "pt_{j}^{1}/pt_{j}^{2}", "jpt1pt2", 0.2);
786	>	make_OFSF_plots("TMath::Abs(pfJetDphiMet[0])", "met[4]>100", 16, 0, 3.2, false, "\|#Delta#phi(jet1,MET)\|", "dphij1met", 0.2);
787	>	make_OFSF_plots("TMath::Abs(dphi)", "met[4]>100", 16, 0, 3.2, false, "\|#Delta#phi(l1,l2)\|", "dphi", 0.2);
788	>	// make_OFSF_plots("TMath::Abs(dphiMet1)", "met[4]>100", 16, 0, 3.2, false, "\|#Delta#phi(l1,MET)\|", "dphiMet1", 0.2);
789	>	// make_OFSF_plots("TMath::Abs(dphiMet2)", "met[4]>100", 16, 0, 3.2, false, "\|#Delta#phi(l2,MET)\|", "dphiMet2", 0.2);
790	>	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");
791	>	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");
792	>	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");
793	>	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");
794	>	}
795	>
796	>	if ( doDataComp && !PlottingSetup::openBox ) {
797	>	TCut mllCut("");
798	>	float massmin = 15.;
799	>	float massmax = 315;
800	>	int massnbins = 60;
801	>	if ( !PlottingSetup::openBox ) {
802	>	mllCut = "mll>120";
803	>	massmin = 120;
804	>	massmax = 360;
805	>	massnbins = 14;
806	>	}
807	>
808	>	TCut cutSignal = cutmass&&cutnJets&&"met[4]>100";
809	>	make_data_comparison_plot("mll", cutOSSF,60, 15., 315.,-1., true, "m_{ll}", "mll_SF_inclusive");
810	>	make_data_comparison_plot("mll", cutOSOF,60, 15., 315.,-1., true, "m_{ll}", "mll_OF_inclusive");
811	>
812	>	make_data_comparison_plot("mll", cutOSSF&&cutSignal&&mllCut, massnbins, 15., 315.,-1., false, "m_{ll}", "mll_SF_sig");
813	>	make_data_comparison_plot("mll", cutOSSF&&cutSignal&&mllCut&&"pfJetGoodNumBtag30==0", massnbins, 15., 315.,-1., false, "m_{ll}", "mll_SF_sig_btagVeto");
814	>	make_data_comparison_plot("mll", cutOSSF&&cutSignal&&mllCut&&"pfJetGoodNumBtag30>0", massnbins, 15., 315.,-1., false, "m_{ll}", "mll_SF_sig_AtLeastOneBJet");
815	>
816	>	make_data_comparison_plot("mll", mllCut&&cutOSOF&&cutSignal, massnbins, 15., 315.,-1., false, "m_{ll}", "mll_OF_sig");
817	>	make_data_comparison_plot("mll", cutmass&&cutOSSF&&"met[4]>100&&met[4]<150&&pfJetGoodNum40==2", massnbins, 15., 315.,-1., false, "m_{ll}", "mll_SF_CR");
818	>	make_data_comparison_plot("mll", cutmass&&cutOSOF&&"met[4]>100&&met[4]<150&&pfJetGoodNum40==2", massnbins, 15., 315.,-1., false, "m_{ll}", "mll_OF_CR");
819	>
820	>	make_data_comparison_plot("pfJetGoodNum40", cutOSSF&&cutSignal&&mllCut, 8, 0., 8.,-1., false, "#(jets)", "njets_SF_sig");
821	>	make_data_comparison_plot("pfJetGoodNum40", cutOSOF&&cutSignal&&mllCut, 8, 0., 8.,-1., false, "#(jets)", "njets_OF_sig");
822	>	make_data_comparison_plot("pfJetGoodNumBtag30", cutOSSF&&cutSignal&&mllCut, 8, 0., 8.,-1., false, "#(b-jets)", "nbjets_SF_sig");
823	>	make_data_comparison_plot("pfJetGoodNumBtag30", cutOSOF&&cutSignal&&mllCut, 8, 0., 8.,-1., false, "#(b-jets)", "nbjets_OF_sig");
824	>	}
825	>
826	>
827	>	if ( doKin ) {
828	>	string mllCut("");
829	>	if ( !PlottingSetup::openBox ) mllCut = "&&mll>120";
830	>
831	>	// Plots in signal region
832	>	// make_kin_plot("met[4]","",70,0,350,dolog,"MET [GeV]","met",doPF,true);
833	>	make_kin_plot("mll","mll>20"+mllCut,(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll",doPF,true);
834	>	make_kin_plot("mll","mll>20",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_osof",doPF,true,true);
835	>	make_kin_plot("mll","mll>20"+mllCut,(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_ee",doPF,true);
836	>	make_kin_plot("mll","mll>20"+mllCut,(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_mm",doPF,true);
837	>
838	>	make_kin_plot("pfJetGoodNum40",mllCut,9,-0.5,8.5,dolog,"nJets","nJets",doPF);
839	>	make_kin_plot("pfJetGoodNum40","",9,-0.5,8.5,dolog,"nJets","nJets_osof",doPF);
840	>
841	>	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_met100",doPF,true);
842	>	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_met100",doPF,true,true);
843	>	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_met100",doPF,true);
844	>	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_met100",doPF,true);
845	>
846	>	make_kin_plot("pfJetGoodNum40","met[4]>100"+mllCut,9,-0.5,8.5,dolog,"nJets","nJets_met100",doPF);
847	>	make_kin_plot("pfJetGoodNum40","met[4]>100",9,-0.5,8.5,dolog,"nJets","nJets_osof_met100",doPF);
848	>
849	>	// Further inclusive invariant mass plots
850	>	make_kin_plot("mll","",(int)((mll_hi-mll_low))/5,mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive",doPF,true);
851	>	make_kin_plot("mll","",(int)((mll_hi-mll_low))/5,mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_ee",doPF,true);
852	>	make_kin_plot("mll","",(int)((mll_hi-mll_low))/5,mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_mm",doPF,true);
853	>	make_kin_plot("mll","",(int)((mll_hi-mll_low))/5,mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_osof",doPF,true);
854	>
855	>	//make_kin_plot("mll","",(int)((350-mll_low))/5,mll_low,350,dolog,"m_{ll} [GeV]","mll_inclusive_highrange",doPF);
856	>	//if(!doPF) make_special_mll_plot((int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]");
857	>
858	>	//make_kin_plot("pfJetGoodPt[0]/pfJetGoodPt[1]","",45,1,10,dolog,"pt_{j}^{1}/pt_{j}^{2}","j1j2ratio",doPF,true);
859	>	//make_kin_plot("TMath::Abs(pfJetDphiMet[0])","",32,0,3.2,nolog,"\|#Delta#phi(jet1,MET)\|","dphiJ1MET",doPF,true);
860	>
861	>	// Number of jets
862	>	make_kin_plot("pfJetGoodNum40","",9,-0.5,8.5,dolog,"nJets","nJets_inclusive",doPF);
863	>	make_kin_plot("pfJetGoodNum40","",9,-0.5,8.5,dolog,"nJets","nJets_osof_inclusive",doPF);
864	>	//make_kin_plot("pfJetGoodNum40","",9,-0.5,8.5,dolog,"nJets","nJets_nocuts_except_mll_ossf",doPF);
865	>
866	>	// Others
867	>	make_kin_plot("numVtx","",(int)(30.5-(-0.5)),-0.5,30.5,nolog,"N(Vtx)","numVtx",doPF);
868	>	// make_kin_plot("jetpt[0]","",40,0,200,dolog,"leading jet p_{T} [GeV]","pfJetGoodPt_0",doPF);
869	>	// make_kin_plot("jeteta[0]","",40,-5,5,nolog,"leading jet #eta","pfJetGoodEta_0",doPF);
870	>	make_kin_plot("pt","",50,0,500,dolog,"Z p_{T} [GeV]","Zpt",doPF);
871	>	make_kin_plot("pt1","",50,0,200,nolog,"p_{T} [GeV]","pt1",doPF);
872	>	make_kin_plot("pt2","",50,0,200,nolog,"p_{T} [GeV]","pt2",doPF);
873	>	make_kin_plot("eta1","",40,-3,3,nolog,"#eta_{l}","eta",doPF);
874	>	make_kin_plot("jzb[1]","",100,-150,200,dolog,"JZB [GeV]","jzb_ossf",doPF);
875	>	// stringstream jzbcut;
876	>	// jzbcut << "((is_data&&("<<datajzb<<")>100)\|\|(!is_data&&("<<mcjzb<<")>100))";
877	>	// make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_aboveJZB100",doPF,true);
878	>	// 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);
879	>	// 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);
880	>	// 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);
881	>	// stringstream jzbcut2;
882	>	// jzbcut2 << "((is_data&&("<<datajzb<<")>150)\|\|(!is_data&&("<<mcjzb<<")>150))";
883	>	// make_kin_plot("mll",jzbcut2.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_aboveJZB150",doPF,true);
884	>	// 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);
885	>	// 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);
886	>	// 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);
887	>	// stringstream jzbcut3;
888	>	// jzbcut3 << "((is_data&&("<<datajzb<<")>50)\|\|(!is_data&&("<<mcjzb<<")>50))";
889	>	// make_kin_plot("mll",jzbcut3.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_aboveJZB50",doPF,true);
890	>	// 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);
891	>	// 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);
892	>	// 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);
893	>
894	>	// 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);
895	>	//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);
896	>	//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);
897	>	}
898	>
899	>	// make_special_obs_pred_mll_plot(datajzb,mcjzb,0);
900	>	// make_special_obs_pred_mll_plot(datajzb,mcjzb,50);
901	>	// make_special_obs_pred_mll_plot(datajzb,mcjzb,80);
902	>	make_special_obs_pred_mll_plot(datajzb,mcjzb,100);
903	>	// make_special_obs_pred_mll_plot(datajzb,mcjzb,150);
904	>	// make_special_obs_pred_mll_plot(datajzb,mcjzb,200);
905	>	// make_special_obs_pred_mll_plot(datajzb,mcjzb,250);
906	>
907	>	// make_JES_plot(cutmass&&cutOSSF&&basiccut,"_ossf");
908	>	// make_JES_plot(cutmass&&cutOSOF&&basiccut,"_osof");
909	>
910	>	switch_overunderflow(false);
911		}
912
913		void make_comp_plot( string var, string xlabel, string filename, float jzbcut, string mcjzb, string datajzb,
914		int nbins, float xmin, float xmax, bool log,
915		float ymin=0, float ymax=0, bool leftJustified=false ) {
916	<	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- WATCH OUT: the argument in the function changed!
916	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- WATCH OUT: the argument in the function changed!
917
918		TCut weightbackup=cutWeight;//backing up the correct weight (restoring below!)
919		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__));
920	<	if(var=="numVtx") cutWeight=TCut("1.0");
920	>	//if(var=="numVtx") cutWeight=TCut("1.0");
921		TCut jzbData[]= { TCut(TString(datajzb+">"+any2string(jzbcut))),TCut(TString(datajzb+"<-"+any2string(jzbcut))) };
922		TCut jzbMC[] = { TCut(TString(mcjzb+">"+any2string(jzbcut))),TCut(TString(mcjzb+"<-"+any2string(jzbcut))) };
923
924		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- below: the next ~20 lines changed!
925		int nRegions=4;
926	<	if(!PlottingSetup::RestrictToMassPeak) {
926	>	if(!PlottingSetup::RestrictToMassPeak\|\|!PlottingSetup::UseSidebandsForcJZB) {
927		nRegions=2;
928		}
929
#	Line 404 \| Line 941 \| void make_comp_plot( string var, string
941		TCanvas *ccomp = new TCanvas("ccomp","Comparison plot",600,400);
942		ccomp->SetLogy(log);
943		TH1F *datahisto = allsamples.Draw("datahisto", var,nbins,xmin,xmax,xlabel,"events",kRegions[iregion]&&jzbData[ijzb],data,luminosity);
944	<	TH1F *lm4histo = signalsamples.Draw("lm4histo", var,nbins,xmin,xmax,xlabel,"events",kRegions[iregion]&&jzbData[ijzb],data,luminosity,signalsamples.FindSample("LM4"));
944	>	TH1F *lm3histo = signalsamples.Draw("lm3histo", var,nbins,xmin,xmax,xlabel,"events",kRegions[iregion]&&jzbMC[ijzb],data,luminosity,signalsamples.FindSample("LM3"));
945		THStack mcstack = allsamples.DrawStack("mcstack",var,nbins,xmin,xmax,xlabel,"events",kRegions[iregion]&&jzbMC[ijzb], mc, luminosity);
946		datahisto->SetMarkerSize(DataMarkerSize);
947		if (ymax>ymin) datahisto->SetMaximum(ymax);
948	<	lm4histo->SetLineStyle(2);
948	>	lm3histo->SetLineStyle(2);
949		datahisto->Draw("e1");
950		mcstack.Draw("same");
951		datahisto->Draw("same,e1");
952	<	// lm4histo->Draw("hist,same");
952	>	lm3histo->Draw("hist,same");
953		TLegend *kinleg = allsamples.allbglegend((sRegions[iregion]+(ijzb?"neg":"pos")).c_str());
954		if ( leftJustified ) {
955		Float_t w = kinleg->GetX2()-kinleg->GetX1();
956		kinleg->SetX1(0.2);
957		kinleg->SetX2(0.2+w);
958		}
959	<	// kinleg->AddEntry(lm4histo,"LM4","l");
959	>	kinleg->AddEntry(lm3histo,"LM3","l");
960		kinleg->Draw();
961		TText* write_variable = write_text(0.99,0.01,var);
962		write_variable->SetTextAlign(31);
#	Line 428 \| Line 965 \| void make_comp_plot( string var, string
965		CompleteSave(ccomp,"compare/JZBcut_at_"+any2string(jzbcut)+"/"+filename+"/"+filename+sRegions[iregion]+(ijzb?"neg":"pos"));
966		delete datahisto;
967		delete ccomp;
968	<	delete lm4histo;
968	>	delete lm3histo;
969		}
970		cutWeight=weightbackup;
971		}
#	Line 438 \| Line 975 \| void region_comparison_plots(string mcjz
975		dout << "Creating comparison plots for signal and control regions" << endl;
976		// Compare a few quantities in the signal region and all 7 control regions
977
978	<	switch_overunderflow(true); // switching overflow/underflow bins on
978	>	// switch_overunderflow(true); // switching overflow/underflow bins on
979
980	<
980	>	switch_overunderflow(true);
981		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- the arguments changed
982	<	for(int ijzb=0;ijzb<jzb_cuts.size();ijzb++) {
982	>	for(int ijzb=0;ijzb<(int)jzb_cuts.size();ijzb++) {
983		float jzbcut=jzb_cuts[ijzb]; // Comparison plots are done for this JZB cut
984		float mll_low=50;float mll_high=170;
985		if(!PlottingSetup::RestrictToMassPeak) {
986	<	mll_high=200;
987	<	mll_low=50;
986	>	mll_high=300;
987	>	mll_low=20;
988		}
989	<	make_comp_plot("mll","m_{ll} [GeV]","mll",jzbcut,mcjzb,datajzb,30,mll_low,mll_high,false,0,16.);
989	>	make_comp_plot("pfJetGoodPt[0]/pfJetGoodPt[1]","pt_{j}^{1}/pt_{j}^{2}","j1j2ratio",jzbcut,mcjzb,datajzb,100,0,10,true);
990	>	make_comp_plot("TMath::Abs(pfJetDphiMet[0])","\|#Delta#phi(jet1,MET)\|","dphiJ1MET",jzbcut,mcjzb,datajzb,32,0,3.2,false,0,0,true);
991	>
992	>	make_comp_plot("mll","m_{ll} [GeV]","mll",jzbcut,mcjzb,datajzb,56,mll_low,mll_high,false,0,16.);
993		make_comp_plot("met[4]","pfMET [GeV]","pfmet",jzbcut,mcjzb,datajzb,18,0,360,false,0,16.);
994	<	make_comp_plot("pfJetGoodNum","#(jets)","njets",jzbcut,mcjzb,datajzb,10,0,10, false,0,35.);
994	>	make_comp_plot("pfJetGoodNum40","#(jets)","njets",jzbcut,mcjzb,datajzb,10,0,10, false,0,35.);
995	>	make_comp_plot("pfJetGoodNumBtag","#(b-jets)","nBjets",jzbcut,mcjzb,datajzb,10,0,10, false,0,35.);
996		make_comp_plot("pt","Z p_{T} [GeV]","Zpt",jzbcut,mcjzb,datajzb,26,0,525,false,0.,21.);
997	<	make_comp_plot("numVtx","#(prim. vertices)","nvtx",jzbcut,mcjzb,datajzb,20,0.,20.,false,0,16.);
997	>	make_comp_plot("numVtx","#(prim. vertices)","nvtx",jzbcut,mcjzb,datajzb,40,0.,40.,false,0,16.);
998		make_comp_plot("TMath::Abs(dphi)","#Delta#phi(leptons)","dphilep",jzbcut,mcjzb,datajzb,10,0.,3.1415,false,0,16.,true);
999		make_comp_plot("TMath::Abs(dphi_sumJetVSZ[1])","#Delta#phi(Z,jets)","dphiZjets",jzbcut,mcjzb,datajzb,10,0.,3.1415,false,0,16.,true);
1000	+	make_comp_plot("eta1","#eta_1","eta1",jzbcut,mcjzb,datajzb,10,0.,2.5,false,0,16.);
1001	+	make_comp_plot("eta2","#eta_2","eta2",jzbcut,mcjzb,datajzb,10,0.,2.5,false,0,16.);
1002		}
1003
1004		switch_overunderflow(false); // switching overflow/underflow bins off
#	Line 480 \| Line 1023 \| void signal_bg_comparison()
1023		float simulatedlumi=luminosity;//in pb please - adjust to your likings
1024
1025		TH1F *JZBplotZJETs = allsamples.Draw("JZBplotZJETs",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("/DY"));
1026	<	TH1F *JZBplotLM4 = allsamples.Draw("JZBplotLM4",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("LM4"));
1026	>	TH1F *JZBplotLM4;
1027	>	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"));
1028	>	else JZBplotLM4 = allsamples.Draw("JZBplotLM4",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("LM3"));
1029		TH1F *JZBplotTtbar = allsamples.Draw("JZBplotTtbar",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("TTJets"));
1030
1031		JZBplotTtbar->SetLineColor(allsamples.GetColor("TTJet"));
#	Line 504 \| Line 1049 \| void signal_bg_comparison()
1049		TLegend *signal_bg_comparison_leg2 = make_legend("",0.55,0.75,false);
1050		signal_bg_comparison_leg2->AddEntry(JZBplotZJETs,"Z+Jets","f");
1051		signal_bg_comparison_leg2->AddEntry(JZBplotTtbar,"t#bar{t}","f");
1052	<	signal_bg_comparison_leg2->AddEntry(JZBplotLM4,"LM4","f");
1052	>	if(PlottingSetup::RestrictToMassPeak) signal_bg_comparison_leg2->AddEntry(JZBplotLM4,"LM4","f");
1053	>	else signal_bg_comparison_leg2->AddEntry(JZBplotLM4,"LM3","f");
1054		signal_bg_comparison_leg2->Draw();
1055		DrawMCPrelim(simulatedlumi);
1056		CompleteSave(can,"jzb_bg_vs_signal_distribution");
#	Line 651 \| Line 1197 \| *vector<TF1> do_extended_fit_to_plot(TH1**
1197		// 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)
1198		TF1 *ttbarlogpar = do_logpar_fit_to_plot(Tprediction);
1199		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1200	<	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);
1200	>	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);
1201
1202
1203		TF1 *ttbarlogparP = new TF1("ttbarlogparP",LogParabolaP,0,(prediction->GetXaxis()->GetBinLowEdge(prediction->GetNbinsX())+prediction->GetXaxis()->GetBinWidth(prediction->GetNbinsX())),8);
#	Line 746 \| Line 1292 \| if you want to start from scratch (witho
1292		return return_functions;
1293		}
1294
1295	<	void do_prediction_plot(string jzb, TCanvas *globalcanvas, float sigma, float high, int use_data, bool overlay_signal = false )
1295	>	void do_prediction_plot(string jzb, TCanvas *globalcanvas, float high, int use_data, bool overlay_signal = false,string subdir="" )
1296		{
1297	+
1298		bool is_data=false;
1299		bool use_signal=false;
1300		if(use_data==1) is_data=true;
1301		if(use_data==2) use_signal=true;
1302	<	int nbins=50;//100;
1303	<	if(is_data) nbins=50;
1302	>	int nbins=int(high/10);//100;
1303	>	if(is_data) nbins=int(high/10);
1304		float low=0;
1305	<	float hi=500;
1305	>	float hi=high;
1306	>
1307	>	stringstream cutpositiveS;
1308	>	cutpositiveS << "(" << jzb << ">0)";
1309	>	TCut cutpositive(cutpositiveS.str().c_str());
1310	>	stringstream cutnegativeS;
1311	>	cutnegativeS << "(" << jzb << "<0)";
1312	>	TCut cutnegative(cutnegativeS.str().c_str());
1313	>
1314	>
1315		TH1F *blankback = new TH1F("blankback","blankback",int(high/10),0,high);
1316	<	TH1F *RcorrJZBeemm = allsamples.Draw("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1317	<	TH1F *LcorrJZBeemm = allsamples.Draw("LcorrJZBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1318	<	TH1F *RcorrJZBem = allsamples.Draw("RcorrJZBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1319	<	TH1F *LcorrJZBem = allsamples.Draw("LcorrJZBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1316	>	TH1F *RcorrJZBeemm = allsamples.Draw("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutpositive&&cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1317	>	TH1F *LcorrJZBeemm = allsamples.Draw("LcorrJZBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutnegative&&cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1318	>	TH1F *RcorrJZBem = allsamples.Draw("RcorrJZBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutpositive&&cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1319	>	TH1F *LcorrJZBem = allsamples.Draw("LcorrJZBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutnegative&&cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1320	>
1321		blankback->GetXaxis()->SetTitle(RcorrJZBeemm->GetXaxis()->GetTitle());
1322		blankback->GetYaxis()->SetTitle(RcorrJZBeemm->GetYaxis()->GetTitle());
1323		blankback->GetXaxis()->CenterTitle();
#	Line 774 \| Line 1331 \| void do_prediction_plot(string jzb, TCan
1331
1332		TH1F *RcorrJZBeemmNoS;
1333
1334	<	//these are for the ratio
1335	<	TH1F *JRcorrJZBeemm = allsamples.Draw("JRcorrJZBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1336	<	TH1F *JLcorrJZBeemm = allsamples.Draw("JLcorrJZBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1337	<	TH1F *JRcorrJZBem = allsamples.Draw("JRcorrJZBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1338	<	TH1F *JLcorrJZBem = allsamples.Draw("JLcorrJZBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1334	>	//these are for the ratio
1335	>	TH1F *JRcorrJZBeemm = allsamples.Draw("JRcorrJZBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutpositive&&cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1336	>	TH1F *JLcorrJZBeemm = allsamples.Draw("JLcorrJZBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutnegative&&cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1337	>	TH1F *JRcorrJZBem = allsamples.Draw("JRcorrJZBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutpositive&&cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1338	>	TH1F *JLcorrJZBem = allsamples.Draw("JLcorrJZBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutnegative&&cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1339
1340		TH1F *JRcorrJZBSBem;
1341		TH1F *JLcorrJZBSBem;
1342		TH1F *JRcorrJZBSBeemm;
1343		TH1F *JLcorrJZBSBeemm;
1344
1345	<	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);
1345	>	if(use_data==2 \|\| overlay_signal) RcorrJZBeemmNoS = allsamples.Draw("RcorrJZBeemmNoS",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutpositive&&cutmass&&cutOSSF&&cutnJets,is_data, luminosity,false);
1346
1347
1348	<	if(PlottingSetup::RestrictToMassPeak) {
1349	<	RcorrJZBSBem = allsamples.Draw("RcorrJZBSBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1350	<	LcorrJZBSBem = allsamples.Draw("LcorrJZBSBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1351	<	RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1352	<	LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1353	<
1348	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
1349	>	RcorrJZBSBem = allsamples.Draw("RcorrJZBSBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutpositive&&sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1350	>	LcorrJZBSBem = allsamples.Draw("LcorrJZBSBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutnegative&&sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1351	>	RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutpositive&&sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1352	>	LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutnegative&&sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1353	>
1354		//these are for the ratio
1355	<	JRcorrJZBSBem = allsamples.Draw("JRcorrJZBSBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1356	<	JLcorrJZBSBem = allsamples.Draw("JLcorrJZBSBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1357	<	JRcorrJZBSBeemm = allsamples.Draw("JRcorrJZBSBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1358	<	JLcorrJZBSBeemm = allsamples.Draw("JLcorrJZBSBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
802	<
1355	>	JRcorrJZBSBem = allsamples.Draw("JRcorrJZBSBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutpositive&&sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1356	>	JLcorrJZBSBem = allsamples.Draw("JLcorrJZBSBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutnegative&&sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1357	>	JRcorrJZBSBeemm = allsamples.Draw("JRcorrJZBSBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutpositive&&sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1358	>	JLcorrJZBSBeemm = allsamples.Draw("JLcorrJZBSBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutnegative&&sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1359		}
1360
1361		TH1F *lm4RcorrJZBeemm;
1362	<	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"));
1362	>	if(overlay_signal \|\| use_data == 2 \|\| use_data == 1) lm4RcorrJZBeemm = allsamples.Draw("lm4RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutpositive&&cutmass&&cutOSSF&&cutnJets,is_data, luminosity,allsamples.FindSample("LM"));
1363
1364		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- prediction changed.
1365
#	Line 812 \| Line 1368 \| void do_prediction_plot(string jzb, TCan
1368
1369		TH1F Bpred = (TH1F)LcorrJZBeemm->Clone("Bpred");
1370		TH1F JBpred = (TH1F)JLcorrJZBeemm->Clone("Bpred");
1371	<	if(PlottingSetup::RestrictToMassPeak) {
1371	>
1372	>	TH1F *BpredSys = new TH1F("Bpredsys","Bpredsys",PlottingSetup::global_ratio_binning.size()-1,&PlottingSetup::global_ratio_binning[0]);
1373	>	ClearHisto(BpredSys);
1374	>
1375	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
1376		Bpred->Add(RcorrJZBem,1.0/3.);
1377		Bpred->Add(LcorrJZBem,-1.0/3.);
1378		Bpred->Add(RcorrJZBSBem,1.0/3.);
#	Line 834 \| Line 1394 \| void do_prediction_plot(string jzb, TCan
1394		JBpred->Add(JLcorrJZBSBem,-1.0/3.);
1395		JBpred->Add(JRcorrJZBSBeemm,1.0/3.);
1396		JBpred->Add(JLcorrJZBSBeemm,-1.0/3.);
1397	+
1398	+	//Systematics:
1399	+	AddSquared(BpredSys,JLcorrJZBeemm,zjetsestimateuncertONPEAK*zjetsestimateuncertONPEAK);
1400	+	AddSquared(BpredSys,JRcorrJZBem,emuncertONPEAKemuncertONPEAK(1.0/9));
1401	+	AddSquared(BpredSys,JLcorrJZBem,emuncertONPEAKemuncertONPEAK(1.0/9));
1402	+	AddSquared(BpredSys,JRcorrJZBSBem,emsidebanduncertONPEAKemsidebanduncertONPEAK(1.0/9));
1403	+	AddSquared(BpredSys,JLcorrJZBSBem,emsidebanduncertONPEAKemsidebanduncertONPEAK(1.0/9));
1404	+	AddSquared(BpredSys,JRcorrJZBSBeemm,eemmsidebanduncertONPEAKeemmsidebanduncertONPEAK(1.0/9));
1405	+	AddSquared(BpredSys,JLcorrJZBSBeemm,eemmsidebanduncertONPEAKeemmsidebanduncertONPEAK(1.0/9));
1406		} else {
1407		Bpred->Add(RcorrJZBem,1.0);
1408		Bpred->Add(LcorrJZBem,-1.0);
#	Line 843 \| Line 1412 \| void do_prediction_plot(string jzb, TCan
1412		//these are for the ratio
1413		JBpred->Add(JRcorrJZBem,1.0);
1414		JBpred->Add(JLcorrJZBem,-1.0);
1415	+
1416	+	//Systematics
1417	+	AddSquared(BpredSys,JLcorrJZBeemm,zjetsestimateuncertOFFPEAK*zjetsestimateuncertOFFPEAK);
1418	+	AddSquared(BpredSys,JRcorrJZBem,emuncertOFFPEAK*emuncertOFFPEAK);
1419	+	AddSquared(BpredSys,JLcorrJZBem,emuncertOFFPEAK*emuncertOFFPEAK);
1420	+
1421		}
1422
1423	<
1424	<
1423	>	SQRT(BpredSys);
1424	>	BpredSys->Divide(JBpred);
1425	>
1426		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- prediction changed
1427		TH1F Tpred = (TH1F)RcorrJZBem->Clone("Bpred");
1428		Tpred->Add(LcorrJZBem,-1.0);
1429	<	if(PlottingSetup::RestrictToMassPeak) {
1429	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
1430		Tpred->Add(RcorrJZBSBem,1.0);
1431		Tpred->Add(LcorrJZBSBem,-1.0);
1432		Tpred->Add(RcorrJZBSBeemm,1.0);
#	Line 890 \| Line 1466 \| void do_prediction_plot(string jzb, TCan
1466		blankback->Draw();
1467		if(use_data==1)
1468		{
1469	+	//Bpred->SetLineWidth(3); //paper style.overruled.
1470	+	//lm4RcorrJZBeemm->SetLineWidth(3); //paper style.overruled.
1471		analytical_function = do_extended_fit_to_plot(Bpred,Tpred,LcorrJZBeemm,LcorrJZBem,is_data);
1472		kinpad->cd();//necessary because the extended fit function creates its own canvas
1473		RcorrJZBeemm->Draw("e1x0,same");
1474
1475		Bpred->Draw("hist,same");
1476	<	analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1476	>	//analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1477		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1478	+	//lm4RcorrJZBeemm->Draw("hist,same");
1479		legBpred->AddEntry(RcorrJZBeemm,"observed","p");
1480		legBpred->AddEntry(Bpred,"predicted","l");
1481	<	legBpred->AddEntry(analytical_function[1],"predicted fit","l");
1482	<	legBpred->AddEntry(analytical_function[2],"stat. uncert.","l");
1483	<	if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1481	>	// legBpred->AddEntry(analytical_function[1],"predicted fit","l");
1482	>	// legBpred->AddEntry(analytical_function[2],"stat. uncert.","l");
1483	>	// legBpred->AddEntry(lm4RcorrJZBeemm,(allsamples.collection[allsamples.FindSample("LM")[0]].samplename).c_str(),"l");
1484		legBpred->Draw();
1485		DrawPrelim();
1486
1487		//this plot shows what the prediction is composed of
1488	<	TCanvas *specialcanv = new TCanvas("specialcanv","specialcanv");
1489	<	specialcanv->SetLogy(1);
1490	<	Zjetspred->SetFillColor(kYellow);
1491	<	Zjetspred->SetLineColor(kYellow);
1492	<	TTbarpred->SetFillColor(allsamples.GetColor((allsamples.FindSample("TTJets"))[0]));
1493	<	TTbarpred->SetLineColor(allsamples.GetColor((allsamples.FindSample("TTJets"))[0]));
1488	>	TPad *predcomppad = new TPad("predcomppad","predcomppad",0,0,1,1);
1489	>	float CurrentBpredLineWidth=Bpred->GetLineWidth();
1490	>	Bpred->SetLineWidth(2);
1491	>	predcomppad->cd();
1492	>	predcomppad->SetLogy(1);
1493	>	TH1F jzbnegative = (TH1F)LcorrJZBeemm->Clone("jzbnegative");
1494	>	TH1F sidebandsemu = (TH1F)Bpred->Clone("sidebandsemu");
1495	>	sidebandsemu->Add(jzbnegative,-1);
1496	>
1497	>	jzbnegative->SetFillColor(allsamples.GetColor((allsamples.FindSample("DY"))[0]));
1498	>	jzbnegative->SetLineColor(allsamples.GetColor((allsamples.FindSample("DY"))[0]));
1499	>	sidebandsemu->SetLineColor(allsamples.GetColor((allsamples.FindSample("TTJets"))[0]));
1500	>	sidebandsemu->SetFillColor(allsamples.GetColor((allsamples.FindSample("TTJets"))[0]));
1501	>
1502		THStack predcomposition("predcomposition","prediction composition");
1503	<	predcomposition.Add(TTbarpred);
1504	<	predcomposition.Add(Zjetspred);
1503	>	predcomposition.Add(sidebandsemu);
1504	>	predcomposition.Add(jzbnegative);
1505		blankback->Draw();
1506		RcorrJZBeemm->Draw("e1x0,same");
1507		predcomposition.Draw("histo,same");//
1508		Bpred->Draw("hist,same");
1509	<	analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1509	>	// analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1510		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1511	<	legBpred->Draw();
1511	>	// lm4RcorrJZBeemm->SetLineColor(kOrange+1);
1512	>	lm4RcorrJZBeemm->SetLineWidth(2);
1513	>	//lm4RcorrJZBeemm->SetLineWidth(2); // paper style. overruled.
1514	>	// lm4RcorrJZBeemm->Draw("histo,same");
1515		DrawPrelim();
1516	<	TLegend *specialleg = new TLegend(0.6,0.4,0.89,0.55);
1517	<	specialleg->SetFillColor(kWhite);specialleg->SetLineColor(kWhite);
1518	<	specialleg->AddEntry(Zjetspred,"Z+Jets prediction","f");
1519	<	specialleg->AddEntry(TTbarpred,"t#bar{t} prediction","f");
1520	<	specialleg->Draw("same");
1521	<	CompleteSave(specialcanv,"Bpred_Data_____PredictionComposition");
1522	<
1523	<	THStack kostack = allsamples.DrawStack("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,!is_data, luminosity,use_signal);
1516	>	TLegend *speciallegBpred = make_legend("",0.45,0.55);
1517	>	//TLegend *speciallegBpred = make_legend("",0.35,0.55); // paper style. overruled.
1518	>	speciallegBpred->AddEntry(RcorrJZBeemm,"Data","pl");
1519	>	speciallegBpred->AddEntry(Bpred,"Total background","l");
1520	>	speciallegBpred->AddEntry(jzbnegative,"JZB<0 (data)","f");
1521	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) speciallegBpred->AddEntry(sidebandsemu,"Sidebands/e#mu (data)","f");
1522	>	else speciallegBpred->AddEntry(sidebandsemu,"e#mu (data)","f");
1523	>	// speciallegBpred->AddEntry(lm4RcorrJZBeemmC,"LM4","l");
1524	>	// speciallegBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1525	>	speciallegBpred->Draw();
1526	>	save_with_ratio(JRcorrJZBeemm,JBpred,predcomppad,subdir+"Bpred_Data_____PredictionComposition",true,true,"data/pred",BpredSys);
1527	>
1528	>	TCanvas *specialcanv = new TCanvas("specialcanv","specialcanv");
1529	>	specialcanv->SetLogy(1);
1530	>	// THStack kostack = allsamples.DrawStack("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,!is_data, luminosity,use_signal);
1531		blankback->Draw();
1532	<	kostack.Draw("same");
1532	>	// kostack.Draw("same");
1533	>	predcomposition.Draw();
1534		Bpred->Draw("hist,same");
1535	<	analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1535	>	//analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1536		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1537		legBpred->Draw();
1538		DrawPrelim();
1539	<	CompleteSave(specialcanv,"Bpred_Data_____PredictionCompositioninMC");
1539	>	CompleteSave(specialcanv,subdir+"Bpred_Data_____PredictionCompositioninMC");
1540	>	Bpred->SetLineWidth((int)CurrentBpredLineWidth);
1541
1542	<	delete specialcanv;
1543	<	delete specialleg;
1542	>
1543	>	//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;
1544	>
1545	>	delete speciallegBpred;
1546		delete Zjetspred;
1547		delete TTbarpred;
1548
#	Line 949 \| Line 1550 \| void do_prediction_plot(string jzb, TCan
1550		}
1551		if(use_data==0) {
1552		RcorrJZBeemm->Draw("e1x0,same");
1553	+	//Bpred->SetLineWidth(3); // paper style. overruled.
1554		Bpred->Draw("hist,same");
1555		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1556	<	legBpred->AddEntry(RcorrJZBeemm,"MC observed","p");
1557	<	legBpred->AddEntry(Bpred,"MC predicted","l");
1556	>	legBpred->AddEntry(RcorrJZBeemm,"MC true","p");
1557	>	legBpred->AddEntry(Bpred,"MC predicted","l");
1558		if(versok) legBpred->AddEntry((TObject*)0,"",""); // Just for alignment // causes seg fault on root v5.18
1559		if(versok) legBpred->AddEntry((TObject*)0,"",""); // causes seg fault on root v5.18
1560	<	if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1560	>	// if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1561		legBpred->Draw();
1562		DrawMCPrelim();
1563		Bpredsaveas="Bpred_MC";
#	Line 963 \| Line 1565 \| void do_prediction_plot(string jzb, TCan
1565		}
1566		if(use_data==2) {
1567		RcorrJZBeemm->Draw("e1x0,same");
1568	+	//Bpred->SetLineWidth(3); // paper style. overruled.
1569		Bpred->Draw("hist,same");
1570		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1571	<	legBpred->AddEntry(RcorrJZBeemm,"MC observed","p");
1571	>	legBpred->AddEntry(RcorrJZBeemm,"MC true","p");
1572		legBpred->AddEntry(Bpred,"MC predicted","l");
1573	<	legBpred2->AddEntry(RcorrJZBeemm,"MC observed","p");
1573	>	legBpred2->AddEntry(RcorrJZBeemm,"MC true","p");
1574		legBpred2->AddEntry(Bpred,"MC predicted","l");
1575		{
1576		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 1581 \| void do_prediction_plot(string jzb, TCan
1581		// CompleteSave(globalcanvas,"Bpred_MCwithS"); // done below in save_with_ratio
1582		}
1583		{
1584	+	//lm4RcorrJZBeemm->SetLineWidth(3); //paper style. overruled.
1585	+	//RcorrJZBeemmNoS->SetLineWidth(3); //paper style. overruled.
1586	+	//lm4RcorrJZBeemm->SetLineStyle(2); //paper style. overruled.
1587	+	//RcorrJZBeemmNoS->SetLineStyle(3); //paper style. overruled.
1588	+	//lm4RcorrJZBeemm->SetLineColor(kOrange+1); //paper style. overruled.
1589	+
1590		RcorrJZBeemmNoS->SetLineStyle(2);
1591		legBpred2->AddEntry(RcorrJZBeemmNoS,"MC B","l");
1592	<	legBpred2->AddEntry(lm4RcorrJZBeemm,"MC S","l");
1592	>	// legBpred2->AddEntry(lm4RcorrJZBeemm,"MC S","l");
1593		legBpred2->Draw();
1594		RcorrJZBeemmNoS->SetLineColor(TColor::GetColor("#61210B"));
1595		RcorrJZBeemmNoS->Draw("histo,same");
#	Line 996 \| Line 1605 \| void do_prediction_plot(string jzb, TCan
1605		//3rd last argument: do special bpred ratio, 2nd last argument: extended range!, last: y-axis title
1606		string ytitle("ratio");
1607		if ( use_data==1 ) ytitle = "data/pred";
1608	<	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,Bpredsaveas,true,use_data!=1,ytitle);
1608	>	//save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,Bpredsaveas,true,use_data!=1,ytitle);
1609	>	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,subdir+Bpredsaveas,true,false,ytitle,BpredSys);//not extending the y range anymore up to 4
1610
1001	–
1002	–	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1003	–	/// The part below is meaningless for the offpeak analysis (it's a comparison of the different estimates but there is but one estimate!)
1004	–	if(!PlottingSetup::RestrictToMassPeak) return;
1005	–	TH1F Bpredem = (TH1F)LcorrJZBeemm->Clone("Bpredem");
1006	–	Bpredem->Add(RcorrJZBem);
1007	–	Bpredem->Add(LcorrJZBem,-1);
1008	–	TH1F BpredSBem = (TH1F)LcorrJZBeemm->Clone("BpredSBem");
1009	–	BpredSBem->Add(RcorrJZBSBem);
1010	–	Bpred->Add(LcorrJZBSBem,-1);
1011	–	TH1F BpredSBeemm = (TH1F)LcorrJZBeemm->Clone("BpredSBeemm");
1012	–	BpredSBeemm->Add(RcorrJZBSBeemm);
1013	–	BpredSBeemm->Add(LcorrJZBSBeemm,-1.0);
1014	–	globalcanvas->cd();
1015	–	globalcanvas->SetLogy(1);
1611
1017	–	RcorrJZBeemm->SetMarkerStyle(20);
1018	–	RcorrJZBeemm->GetXaxis()->SetRangeUser(0,high);
1019	–	blankback->Draw();
1020	–	RcorrJZBeemm->Draw("e1x0,same");
1021	–	RcorrJZBeemm->SetMarkerSize(DataMarkerSize);
1612
1613	<	Bpredem->SetLineColor(kRed+1);
1614	<	Bpredem->SetStats(0);
1615	<	Bpredem->Draw("hist,same");
1616	<
1617	<	BpredSBem->SetLineColor(kGreen+2);//TColor::GetColor("#0B6138"));
1618	<	BpredSBem->SetLineStyle(2);
1619	<	BpredSBem->Draw("hist,same");
1620	<
1621	<	BpredSBeemm->SetLineColor(kBlue+1);
1622	<	BpredSBeemm->SetLineStyle(3);
1623	<	BpredSBeemm->Draw("hist,same");
1624	<	RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1625	<
1626	<	TLegend *legBpredc = make_legend("",0.6,0.55);
1627	<	if(use_data==1)
1628	<	{
1629	<	legBpredc->AddEntry(RcorrJZBeemm,"observed","p");
1630	<	legBpredc->AddEntry(Bpredem,"OFZP","l");
1631	<	legBpredc->AddEntry(BpredSBem,"OFSB","l");
1632	<	legBpredc->AddEntry(BpredSBeemm,"SFSB","l");
1633	<	legBpredc->Draw();
1634	<	CompleteSave(globalcanvas,"Bpred_Data_comparison");
1635	<	}
1636	<	if(use_data==0) {
1637	<	legBpredc->AddEntry(RcorrJZBeemm,"MC observed","p");
1638	<	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1639	<	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1640	<	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1641	<	legBpredc->Draw();
1642	<	CompleteSave(globalcanvas,"Bpred_MC_comparison");
1643	<	}
1644	<	if(use_data==2) {
1645	<	legBpredc->AddEntry(RcorrJZBeemm,"MC observed","p");
1646	<	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1647	<	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1648	<	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1649	<	if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1650	<	legBpredc->Draw();
1651	<	CompleteSave(globalcanvas,"Bpred_MCwithS_comparison");
1613	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1614	>	// The part below is meaningless for the offpeak analysis (it's a comparison of the different estimates but there is but one estimate!)
1615	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
1616	>	TH1F Bpredem = (TH1F)LcorrJZBeemm->Clone("Bpredem");
1617	>	Bpredem->Add(RcorrJZBem);
1618	>	Bpredem->Add(LcorrJZBem,-1);
1619	>	TH1F BpredSBem = (TH1F)LcorrJZBeemm->Clone("BpredSBem");
1620	>	BpredSBem->Add(RcorrJZBSBem);
1621	>	Bpred->Add(LcorrJZBSBem,-1);
1622	>	TH1F BpredSBeemm = (TH1F)LcorrJZBeemm->Clone("BpredSBeemm");
1623	>	BpredSBeemm->Add(RcorrJZBSBeemm);
1624	>	BpredSBeemm->Add(LcorrJZBSBeemm,-1.0);
1625	>	globalcanvas->cd();
1626	>	globalcanvas->SetLogy(1);
1627	>
1628	>	RcorrJZBeemm->SetMarkerStyle(20);
1629	>	RcorrJZBeemm->GetXaxis()->SetRangeUser(0,high);
1630	>	blankback->Draw();
1631	>	RcorrJZBeemm->Draw("e1x0,same");
1632	>	RcorrJZBeemm->SetMarkerSize(DataMarkerSize);
1633	>
1634	>	Bpredem->SetLineColor(kRed+1);
1635	>	Bpredem->SetStats(0);
1636	>	Bpredem->Draw("hist,same");
1637	>
1638	>	BpredSBem->SetLineColor(kGreen+2);//TColor::GetColor("#0B6138"));
1639	>	BpredSBem->SetLineStyle(2);
1640	>	BpredSBem->Draw("hist,same");
1641	>
1642	>	BpredSBeemm->SetLineColor(kBlue+1);
1643	>	BpredSBeemm->SetLineStyle(3);
1644	>	BpredSBeemm->Draw("hist,same");
1645	>	RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1646	>
1647	>	TLegend *legBpredc = make_legend("",0.6,0.55);
1648	>	if(use_data==1)
1649	>	{
1650	>	legBpredc->AddEntry(RcorrJZBeemm,"observed","p");
1651	>	legBpredc->AddEntry(Bpredem,"OFZP","l");
1652	>	legBpredc->AddEntry(BpredSBem,"OFSB","l");
1653	>	legBpredc->AddEntry(BpredSBeemm,"SFSB","l");
1654	>	legBpredc->Draw();
1655	>	CompleteSave(globalcanvas,subdir+"Bpred_Data_comparison");
1656	>	}
1657	>	if(use_data==0) {
1658	>	legBpredc->AddEntry(RcorrJZBeemm,"MC true","p");
1659	>	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1660	>	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1661	>	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1662	>	legBpredc->Draw();
1663	>	CompleteSave(globalcanvas,subdir+"Bpred_MC_comparison");
1664	>	}
1665	>	if(use_data==2) {
1666	>	legBpredc->AddEntry(RcorrJZBeemm,"MC true","p");
1667	>	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1668	>	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1669	>	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1670	>	// if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1671	>	legBpredc->Draw();
1672	>	CompleteSave(globalcanvas,subdir+"Bpred_MCwithS_comparison");
1673	>	}
1674		}
1675	+
1676	+	TFile *f = new TFile("tester.root","RECREATE");
1677	+	RcorrJZBeemm->Write();
1678	+	Bpred->Write();
1679	+	f->Close();
1680	+
1681		delete RcorrJZBeemm;
1682		delete LcorrJZBeemm;
1683		delete RcorrJZBem;
#	Line 1072 \| Line 1690 \| void do_prediction_plot(string jzb, TCan
1690
1691		delete blankback;
1692
1693	<	if(PlottingSetup::RestrictToMassPeak) {
1693	>	delete BpredSys;
1694	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
1695		delete RcorrJZBSBem;
1696		delete LcorrJZBSBem;
1697		delete RcorrJZBSBeemm;
#	Line 1087 \| Line 1706 \| void do_prediction_plot(string jzb, TCan
1706		}
1707
1708		void do_prediction_plots(string mcjzb, string datajzb, float DataSigma, float MCSigma, bool overlay_signal ) {
1709	+	switch_overunderflow(true);
1710		TCanvas *globalcanvas = new TCanvas("globalcanvas","Prediction Canvas");
1711	<	do_prediction_plot(datajzb,globalcanvas,DataSigma,jzbHigh ,data,overlay_signal);
1712	<	do_prediction_plot(mcjzb,globalcanvas,MCSigma,jzbHigh ,mc,overlay_signal);
1713	<	do_prediction_plot(mcjzb,globalcanvas,MCSigma,jzbHigh ,mcwithsignal,overlay_signal);
1714	<	}
1095	<
1096	<	void do_ratio_plot(int is_data,vector<float> binning, string jzb, TCanvas *can, float high=-9999) {
1097	<	bool do_data=0;
1098	<	bool dosignal=0;
1099	<	if(is_data==1) do_data=1;
1100	<	if(is_data==2) dosignal=1;
1101	<	TH1F *RcorrJZBeemm = allsamples.Draw("RcorrJZBeemm",jzb.c_str(),binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,do_data, luminosity,dosignal);
1102	<	TH1F *LcorrJZBeemm = allsamples.Draw("LcorrJZBeemm",("-"+jzb).c_str(),binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,do_data, luminosity,dosignal);
1103	<	TH1F *RcorrJZBem = allsamples.Draw("RcorrJZBem",jzb.c_str(),binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,do_data, luminosity,dosignal);
1104	<	TH1F *LcorrJZBem = allsamples.Draw("LcorrJZBem",("-"+jzb).c_str(),binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,do_data, luminosity,dosignal);
1105	<
1106	<	TH1F *RcorrJZBSBem;
1107	<	TH1F *LcorrJZBSBem;
1108	<	TH1F *RcorrJZBSBeemm;
1109	<	TH1F *LcorrJZBSbeemm;
1110	<
1111	<	if(PlottingSetup::RestrictToMassPeak) {
1112	<	RcorrJZBSBem = allsamples.Draw("RcorrJZBSbem",jzb.c_str(),binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,do_data, luminosity,dosignal);
1113	<	LcorrJZBSBem = allsamples.Draw("LcorrJZBSbem",("-"+jzb).c_str(),binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,do_data, luminosity,dosignal);
1114	<	RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSbeemm",jzb.c_str(),binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,do_data, luminosity,dosignal);
1115	<	LcorrJZBSbeemm = allsamples.Draw("LcorrJZBSbeemm",("-"+jzb).c_str(),binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,do_data, luminosity,dosignal);
1116	<	}
1117	<
1118	<
1119	<
1120	<
1121	<	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1122	<	TH1F Bpred = (TH1F)LcorrJZBeemm->Clone("Bpred");
1123	<	if(PlottingSetup::RestrictToMassPeak) {
1124	<	Bpred->Add(RcorrJZBem,1.0/3);
1125	<	Bpred->Add(LcorrJZBem,-1.0/3);
1126	<	Bpred->Add(RcorrJZBSBem,1.0/3);
1127	<	Bpred->Add(LcorrJZBSBem,-1.0/3);
1128	<	Bpred->Add(RcorrJZBSBeemm,1.0/3);
1129	<	Bpred->Add(LcorrJZBSbeemm,-1.0/3);
1711	>	do_prediction_plot(datajzb,globalcanvas,jzbHigh ,data,overlay_signal);
1712	>	if ( !PlottingSetup::Approved ) {
1713	>	do_prediction_plot(mcjzb,globalcanvas,jzbHigh ,mc,overlay_signal);
1714	>	do_prediction_plot(mcjzb,globalcanvas,jzbHigh ,mcwithsignal,overlay_signal);
1715		} else {
1716	<	Bpred->Add(RcorrJZBem,1.0);
1132	<	Bpred->Add(LcorrJZBem,-1.0);
1716	>	write_info(__FUNCTION__,"You set approved to true, therefore not producing prediction/observation plots for MC with and without signal.");
1717		}
1718	<
1719	<	can->cd();
1136	<	can->SetLogy(0);
1137	<	Bpred->SetLineColor(kRed);
1138	<	Bpred->SetStats(0);
1139	<	if(high>0) Bpred->GetXaxis()->SetRangeUser(0,high);
1140	<	TH1F JZBratioforfitting=(TH1F)RcorrJZBeemm->Clone("JZBratioforfitting");
1141	<	JZBratioforfitting->Divide(Bpred);
1142	<	TGraphAsymmErrors *JZBratio = histRatio(RcorrJZBeemm,Bpred,is_data,binning,false);
1143	<
1144	<
1145	<	JZBratio->SetTitle("");
1146	<	JZBratio->GetYaxis()->SetRangeUser(0.0,9.0);
1147	<	// if(is_data==1) JZBratio->GetXaxis()->SetRangeUser(0,jzbHigh );
1148	<
1149	<	TF1 *pol0 = new TF1("pol0","[0]",0,1000);
1150	<	TF1 *pol0d = new TF1("pol0","[0]",0,1000);
1151	<	// straightline_fit->SetParameter(0,1);
1152	<	JZBratioforfitting->Fit(pol0,"Q0R","",0,30);
1153	<	pol0d->SetParameter(0,pol0->GetParameter(0));
1154	<
1155	<	JZBratio->GetYaxis()->SetTitle("Observed/Predicted");
1156	<	JZBratio->GetXaxis()->SetTitle("JZB [GeV]");
1157	<	if ( high>0 ) JZBratio->GetXaxis()->SetRangeUser(0.0,high);
1158	<	JZBratio->GetYaxis()->SetNdivisions(519);
1159	<	JZBratio->GetYaxis()->SetRangeUser(0.0,4.0);
1160	<	JZBratio->GetYaxis()->CenterTitle();
1161	<	JZBratio->GetXaxis()->CenterTitle();
1162	<	JZBratio->SetMarkerSize(DataMarkerSize);
1163	<	JZBratio->Draw("AP");
1164	<	/////----------------------------
1165	<	TPaveText *writeresult = new TPaveText(0.15,0.78,0.49,0.91,"blNDC");
1166	<	writeresult->SetFillStyle(4000);
1167	<	writeresult->SetFillColor(kWhite);
1168	<	writeresult->SetTextFont(42);
1169	<	writeresult->SetTextSize(0.03);
1170	<	writeresult->SetTextAlign(12);
1171	<	ostringstream jzb_agreement_data_text;
1172	<	jzb_agreement_data_text<< setprecision(2) << "mean =" << pol0->GetParameter(0) << " #pm " << setprecision(1) << pol0->GetParError(0);
1173	<	if(is_data==1) fitresultconstdata=pol0->GetParameter(0);// data
1174	<	if(is_data==0) fitresultconstmc=pol0->GetParameter(0); // monte carlo, no signal
1175	<	/* if(is_data) writeresult->AddText("Data closure test");
1176	<	else writeresult->AddText("MC closure test");
1177	<	*/
1178	<	writeresult->AddText(jzb_agreement_data_text.str().c_str());
1179	<	// writeresult->Draw("same");
1180	<	// pol0d->Draw("same");
1181	<	TF1 *topline = new TF1("","1.5",0,1000);
1182	<	TF1 *bottomline = new TF1("","0.5",0,1000);
1183	<	topline->SetLineColor(kBlue);
1184	<	topline->SetLineStyle(2);
1185	<	bottomline->SetLineColor(kBlue);
1186	<	bottomline->SetLineStyle(2);
1187	<	// topline->Draw("same");
1188	<	// bottomline->Draw("same");
1189	<	TF1 *oneline = new TF1("","1.0",0,1000);
1190	<	oneline->SetLineColor(kBlue);
1191	<	oneline->SetLineStyle(1);
1192	<	oneline->Draw("same");
1193	<	TLegend *phony_leg = make_legend("ratio",0.6,0.55,false);//this line is just to have the default CMS Preliminary (...) on the canvas as well.
1194	<	if(is_data==1) DrawPrelim();
1195	<	else DrawMCPrelim();
1196	<	TLegend *leg = new TLegend(0.55,0.75,0.89,0.89);
1197	<	leg->SetTextFont(42);
1198	<	leg->SetTextSize(0.04);
1199	<	// if(is_data==1) leg->SetHeader("Ratio (data)");
1200	<	// else leg->SetHeader("Ratio (MC)");
1201	<
1202	<	TString MCtitle("MC ");
1203	<	if (is_data==1) MCtitle = "";
1204	<
1205	<	leg->SetFillStyle(4000);
1206	<	leg->SetFillColor(kWhite);
1207	<	leg->SetTextFont(42);
1208	<	// leg->AddEntry(topline,"+20\% sys envelope","l");
1209	<	leg->AddEntry(JZBratio,MCtitle+"obs / "+MCtitle+"pred","p");
1210	<	leg->AddEntry(oneline,"ratio = 1","l");
1211	<	// leg->AddEntry(pol0d,"fit in [0,30] GeV","l");
1212	<	// leg->AddEntry(bottomline,"#pm50% envelope","l");
1213	<
1214	<
1215	<	//leg->Draw("same"); // no longer drawing legend
1216	<
1217	<	if(is_data==1) CompleteSave(can, "jzb_ratio_data");
1218	<	if(is_data==0) CompleteSave(can, "jzb_ratio_mc");
1219	<	if(is_data==2) CompleteSave(can, "jzb_ratio_mc_BandS");//special case, MC with signal!
1220	<
1221	<	delete RcorrJZBeemm;
1222	<	delete LcorrJZBeemm;
1223	<	delete RcorrJZBem;
1224	<	delete LcorrJZBem;
1225	<
1226	<	delete RcorrJZBSBem;
1227	<	delete LcorrJZBSBem;
1228	<	delete RcorrJZBSBeemm;
1229	<	delete LcorrJZBSbeemm;
1230	<	}
1231	<
1232	<	void do_ratio_plots(string mcjzb,string datajzb,vector<float> ratio_binning) {
1233	<	TCanvas *globalc = new TCanvas("globalc","Ratio Plot Canvas");
1234	<	globalc->SetLogy(0);
1235	<
1236	<	do_ratio_plot(mc,ratio_binning,mcjzb,globalc, jzbHigh );
1237	<	do_ratio_plot(data,ratio_binning,datajzb,globalc, jzbHigh );
1238	<	do_ratio_plot(mcwithsignal,ratio_binning,mcjzb,globalc, jzbHigh );
1718	>	delete globalcanvas;
1719	>	switch_overunderflow(false);
1720		}
1721
1722		string give_jzb_expression(float peak, int type) {
#	Line 1427 \| Line 1908 \| void draw_pure_jzb_histo(TCut cut,string
1908		datahisto->Draw("same,e1");
1909
1910		TLegend *leg;
1911	<	if(is_OF(cut) && is_ZP(cut)) leg = allsamples.allbglegend("OFZP",datahisto);
1912	<	else if(!is_OF(cut) && is_ZP(cut)) leg = allsamples.allbglegend("SFZP",datahisto);
1913	<	else if( is_OF(cut) && !is_ZP(cut)) leg = allsamples.allbglegend("OFSB",datahisto);
1914	<	else if(!is_OF(cut) && !is_ZP(cut)) leg = allsamples.allbglegend("SFSB",datahisto);
1915	<	else {
1916	<	std::cerr << "Unable to decode cut: " << cut.GetTitle() << std::endl;
1917	<	exit(-1);
1918	<	}
1911	>	if (!PlottingSetup::RestrictToMassPeak\|\|!PlottingSetup::UseSidebandsForcJZB) {
1912	>	if(is_OF(cut)) leg = allsamples.allbglegend("Opposite flavor",datahisto);
1913	>	else leg = allsamples.allbglegend("Same flavor",datahisto);
1914	>	} else {
1915	>	if(is_OF(cut) && is_ZP(cut)) leg = allsamples.allbglegend("OFZP",datahisto);
1916	>	else if(!is_OF(cut) && is_ZP(cut)) leg = allsamples.allbglegend("SFZP",datahisto);
1917	>	else if( is_OF(cut) && !is_ZP(cut)) leg = allsamples.allbglegend("OFSB",datahisto);
1918	>	else if(!is_OF(cut) && !is_ZP(cut)) leg = allsamples.allbglegend("SFSB",datahisto);
1919	>	else {
1920	>	std::cerr << "Unable to decode cut: " << cut.GetTitle() << std::endl;
1921	>	exit(-1);
1922	>	}
1923	>	}
1924		leg->Draw();
1925		string write_cut = decipher_cut(cut,"");
1926		TText *writeline1 = write_cut_on_canvas(write_cut.c_str());
1927		writeline1->SetTextSize(0.035);
1928		writeline1->Draw();
1929	<	save_with_ratio(datahisto,mcstack,jzbpad->cd(),("jzb/"+savename));
1929	>	if(!Contains(savename,"Dibosons")) save_with_ratio(datahisto,mcstack,jzbpad->cd(),("jzb/"+savename));
1930	>	else save_with_ratio(datahisto,mcstack,jzbpad->cd(),savename);
1931		TPad *jzbpad2 = new TPad("jzbpad2","jzbpad2",0,0,1,1);
1932		jzbpad2->cd();
1933		jzbpad2->SetLogy(1);
#	Line 1455 \| Line 1942 \| void draw_pure_jzb_histo(TCut cut,string
1942		writeline1->SetTextSize(0.035);
1943		writeline1->Draw();
1944		DrawPrelim();
1945	<	save_with_ratio(datahisto,mcstack,jzbpad2->cd(),("jzb/PositiveSideOnly/"+savename+""));
1945	>	if(!Contains(savename,"Dibosons")) save_with_ratio(datahisto,mcstack,jzbpad2->cd(),("jzb/PositiveSideOnly/"+savename+""));
1946	>	else save_with_ratio(datahisto,mcstack,jzbpad2->cd(),(savename+"__PosOnly"));
1947		datahisto->Delete();
1948		mcstack.Delete();
1949		}
#	Line 1463 \| Line 1951 \| void draw_pure_jzb_histo(TCut cut,string
1951		Double_t GausR(Double_t x, Double_t par) {
1952		return gRandom->Gaus(x[0],par[0]);
1953		}
1954	+
1955	+	void produce_stretched_jzb_plots(string mcjzb, string datajzb,vector<float> ratio_binning) {
1956	+	TCanvas *dican = new TCanvas("dican","JZB Plots Canvas");
1957	+	float max=jzbHigh ;
1958	+	float min=-120;
1959	+	int nbins=(int)((max-min)/5.0); // we want 5 GeV/bin
1960	+	int coarserbins=int(nbins/2.0);
1961	+	int rebinnedbins=int(nbins/4.0);
1962	+
1963	+	vector<float>binning;vector<float>coarse_binning;vector<float>coarsest_binning;
1964	+	for(int i=0;i<=nbins;i++)binning.push_back(min+i*(max-min)/((float)nbins));
1965	+	for(int i=0;i<=coarserbins;i++)coarse_binning.push_back(min+i*(max-min)/((float)coarserbins));
1966	+	for(int i=0;i<=rebinnedbins;i++)coarsest_binning.push_back(min+i*(max-min)/((float)rebinnedbins));
1967	+
1968	+	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_SFZP",dican,binning);
1969	+	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_OFZP",dican,binning);
1970	+	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"Dibosons/ee/jzb_OS_SFZP",dican,binning);
1971	+	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"Dibosons/mm/jzb_OS_SFZP",dican,binning);
1972	+	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"Dibosons/ee/jzb_OS_OFZP",dican,binning);
1973	+	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"Dibosons/mm/jzb_OS_OFZP",dican,binning);
1974	+	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_SFSB",dican,binning);
1975	+	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_OFSB",dican,binning);
1976	+
1977	+	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_SFZP_coarse",dican,coarse_binning);
1978	+	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_OFZP_coarse",dican,coarse_binning);
1979	+	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_SFSB_coarse",dican,coarse_binning);
1980	+	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_OFSB_coarse",dican,coarse_binning);
1981	+
1982	+	delete dican;
1983	+	}
1984	+
1985	+
1986	+	void diboson_plots(string mcjzb, string datajzb,vector<float> ratio_binning) {
1987	+	switch_overunderflow(true);
1988	+	vector<int> SamplesToBeModified = allsamples.FindSampleBySampleName("WW/WZ/ZZ");
1989
1990	+	if(SamplesToBeModified.size()==0 \|\| SamplesToBeModified[0]==-1) {
1991	+	write_error(__FUNCTION__,"Could not find any diboson samples - aborting diboson plots");
1992	+	return;
1993	+	}
1994	+
1995	+	float stretchfactor = 100.0;
1996	+	vector<string> labels;
1997	+
1998	+
1999	+	dout << "Going to increase the cross section for diboson samples ... " << endl;
2000	+	for(int i=0;i<(int)SamplesToBeModified.size();i++) {
2001	+	float origxs=(allsamples.collection)[SamplesToBeModified[i]].xs;
2002	+	(allsamples.collection)[SamplesToBeModified[i]].xs=origxs*stretchfactor;
2003	+	dout << " Increased xs for sample " << (allsamples.collection)[SamplesToBeModified[i]].filename << " from " << origxs << " to " << (allsamples.collection)[SamplesToBeModified[i]].xs << " (by a factor of " << stretchfactor << ")" << endl;
2004	+	labels.push_back((allsamples.collection)[SamplesToBeModified[i]].samplename);
2005	+	(allsamples.collection)[SamplesToBeModified[i]].samplename=any2string(int(stretchfactor))+" x "+(allsamples.collection)[SamplesToBeModified[i]].samplename;
2006	+	dout << " (also renamed it to " << (allsamples.collection)[SamplesToBeModified[i]].samplename << " )" << endl;
2007	+	}
2008	+
2009	+	dout << "Going to produce JZB plots" << endl;
2010	+	produce_stretched_jzb_plots(mcjzb,datajzb,ratio_binning);
2011	+	TCanvas *gloca = new TCanvas("gloca","gloca");
2012	+
2013	+	dout << "Going to produce prediction plots" << endl;
2014	+	do_prediction_plot(mcjzb, gloca, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do only MC plots, no signal
2015	+	do_prediction_plot(mcjzb, gloca, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do MC plots with signal
2016	+	delete gloca;
2017	+
2018	+	dout << "Going to reset the cross section for diboson samples ... " << endl;
2019	+	for(int i=0;i<(int)SamplesToBeModified.size();i++) {
2020	+	float Upxs=(allsamples.collection)[SamplesToBeModified[i]].xs;
2021	+	(allsamples.collection)[SamplesToBeModified[i]].xs=(allsamples.collection)[SamplesToBeModified[i]].xs*(1.0/stretchfactor);
2022	+	string Upname=(allsamples.collection)[SamplesToBeModified[i]].samplename;
2023	+	(allsamples.collection)[SamplesToBeModified[i]].samplename=labels[i];
2024	+	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;
2025	+
2026	+	}
2027	+	// switch_overunderflow(false);
2028	+	}
2029	+
2030	+
2031	+	void draw_normalized_data_vs_data_histo(TCut cut1, TCut cut2, string variable, string legentry1, string legentry2, string savename, TCanvas *can,vector<float> binning) {
2032	+	TPad *jzbpad = new TPad("jzbpad","jzbpad",0,0,1,1);
2033	+	jzbpad->cd();
2034	+	jzbpad->SetLogy(1);
2035	+	string xlabel="JZB [GeV]";
2036	+
2037	+	TH1F *datahisto1 = allsamples.Draw("datahisto1",variable,binning, xlabel, "events",cut1,data,luminosity);
2038	+	datahisto1->SetLineColor(kRed);
2039	+	datahisto1->SetMarkerColor(kRed);
2040	+	TH1F *datahisto2 = allsamples.Draw("datahisto2",variable,binning, xlabel, "events",cut2,data,luminosity);
2041	+	datahisto2->SetLineColor(kBlue);
2042	+	datahisto2->SetMarkerColor(kBlue);
2043	+
2044	+	datahisto2->SetMarkerSize(DataMarkerSize);
2045	+	datahisto1->DrawNormalized("e1");
2046	+	datahisto2->DrawNormalized("histo,same");
2047	+	datahisto1->DrawNormalized("same,e1");
2048	+
2049	+	TLegend *leg = make_legend();
2050	+	leg->AddEntry(datahisto1,legentry1.c_str());
2051	+	leg->AddEntry(datahisto2,legentry2.c_str());
2052	+	leg->Draw();
2053	+
2054	+	save_with_ratio(datahisto1,datahisto2,jzbpad->cd(),("jzb/"+savename));
2055	+
2056	+	datahisto1->Delete();
2057	+	datahisto2->Delete();
2058	+	}
2059	+
2060	+
2061		void jzb_plots(string mcjzb, string datajzb,vector<float> ratio_binning) {
2062	+	switch_overunderflow(true);
2063		TCanvas *can = new TCanvas("can","JZB Plots Canvas");
2064		float max=jzbHigh ;
2065		float min=-120;
#	Line 1477 \| Line 2072 \| void jzb_plots(string mcjzb, string data
2072		for(int i=0;i<=coarserbins;i++)coarse_binning.push_back(min+i*(max-min)/((float)coarserbins));
2073		for(int i=0;i<=rebinnedbins;i++)coarsest_binning.push_back(min+i*(max-min)/((float)rebinnedbins));
2074
2075	<	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP",can,binning);
2076	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP",can,binning);
2077	<	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_SFZP",can,binning);
2078	<	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_SFZP",can,binning);
2079	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_OFZP",can,binning);
2080	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_OFZP",can,binning);
2081	<	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
2082	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB",can,binning);
2083	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB",can,binning);
2075	>	if ( !PlottingSetup::Approved ) {
2076	>	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP",can,binning);
2077	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP",can,binning);
2078	>	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_SFZP",can,binning);
2079	>	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_SFZP",can,binning);
2080	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_OFZP",can,binning);
2081	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_OFZP",can,binning);
2082	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
2083	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB",can,binning);
2084	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB",can,binning);
2085	>	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);
2086	>	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);
2087	>	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);
2088	>
2089	>	}
2090
2091		draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP_coarse",can,coarse_binning);
2092	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP_coarse",can,coarse_binning);
2093	<	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
2094	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB_coarse",can,coarse_binning);
2095	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB_coarse",can,coarse_binning);
2096	<
2097	<	// draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP_coarsest",can,coarsest_binning);
2098	<	// draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP_coarsest",can,coarsest_binning);
2099	<	// 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);
2092	>	if ( !PlottingSetup::Approved ) {
2093	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP_coarse",can,coarse_binning);
2094	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
2095	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB_coarse",can,coarse_binning);
2096	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB_coarse",can,coarse_binning);
2097	>	}
2098	>	delete can;
2099	>	switch_overunderflow(false);
2100		}
2101
2102
#	Line 1547 \| Line 2146 \| void compute_MC_yields(string mcjzb,vect
2146		TCanvas *yica = new TCanvas("yica","yield canvas");
2147
2148		int nRegions=4;
2149	<	if(!PlottingSetup::RestrictToMassPeak) nRegions=2;
2149	>	if(!PlottingSetup::RestrictToMassPeak\|\|!PlottingSetup::UseSidebandsForcJZB) nRegions=2;
2150		string tsRegions[] = {"SFZP","OFZP","SFSB","OFSB"};
2151		string posneg[] = {"pos","neg"};
2152		TCut tkRegions[] = {cutOSSF&&cutnJets&&cutmass,cutOSOF&&cutnJets&&cutmass,cutOSSF&&cutnJets&&sidebandcut,cutOSOF&&cutnJets&&sidebandcut};
2153
2154	<	for(int ijzb=0;ijzb<jzb_cuts.size();ijzb++) {
2154	>	for(int ijzb=0;ijzb<(int)jzb_cuts.size();ijzb++) {
2155		TCut jzbMC[] = { give_jzb_expression(mcjzb,jzb_cuts[ijzb],"pos"), give_jzb_expression(mcjzb,jzb_cuts[ijzb],"neg") };
2156		dout << "_________________________________________________________" << endl;
2157		dout << "Table for JZB> " << jzb_cuts[ijzb] << endl;
2158	<	for(int isample=0;isample<(allsamples.collection).size();isample++) {
2158	>	for(int isample=0;isample<(int)(allsamples.collection).size();isample++) {
2159		if(!(allsamples.collection)[isample].is_data) dout << (allsamples.collection)[isample].samplename << " & ";
2160		else dout << "Sample & ";
2161		for(int iregion=0;iregion<nRegions;iregion++) {
#	Line 1815 \| Line 2414 \| void draw_ttbar_and_zjets_shape_for_one_
2414
2415		void draw_ttbar_and_zjets_shape(string mcjzb, string datajzb) {
2416		int all_leptons=-1;
1818	–	int electrons_only=0;
1819	–	int mu_only=1;
1820	–	int twojetswith50gev=1;
2417		int threejetswith30gev=0;
2418		/*
2419	+	int twojetswith50gev=1;
2420	+	int electrons_only=0;
2421	+	int mu_only=1;
2422	+
2423		draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,all_leptons,twojetswith50gev);
2424		draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,all_leptons,threejetswith30gev);
2425
#	Line 1833 \| Line 2433 \| void draw_ttbar_and_zjets_shape(string m
2433		draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,all_leptons,threejetswith30gev,true);
2434		}
2435
2436	<	void find_correction_factors(string &jzbvardata,string &jzbvarmc) {
1837	<	//first: colorful plots
2436	>	float find_one_correction_factor(string FindKeyword, bool dodata, TCut SpecialCut, string SaveAs) {
2437		TCanvas *cancorr = new TCanvas("cancorr","Canvas for Response Correction");
2438		cancorr->SetLogz();
2439		cancorr->SetRightMargin(0.13);
2440	<	flag_this_change(__FUNCTION__,__LINE__,false);//PlottingSetup::RestrictToMassPeak
2441	<	TCut zptforresponsepresentation("pt<600"&&cutmass&&cutOSSF&&"((sumJetPt[1]/pt)<5.0)");
2440	>	TCut zptforresponsepresentation(Restrmasscut&&SpecialCut&&passtrig);
2441	>
2442	>	if(PlottingSetup::DoBTag) zptforresponsepresentation=zptforresponsepresentation&&PlottingSetup::bTagRequirement;
2443		TH2F *niceresponseplotd = new TH2F("niceresponseplotd","",100,0,600,100,0,5);
2444	<	(allsamples.collection)[allsamples.FindSample("Data")[0]].events->Draw("sumJetPt[1]/pt:pt>>niceresponseplotd",zptforresponsepresentation);
2444	>	niceresponseplotd->Sumw2();
2445	>	TH2F* emuResponse = (TH2F*)niceresponseplotd->Clone("emuResponse");
2446	>	vector<int> SampleIndices=allsamples.FindSample(FindKeyword);
2447	>	for(int iSample=0;iSample<(int)SampleIndices.size();iSample++) {
2448	>	if((allsamples.collection)[SampleIndices[iSample]].is_data && !dodata) continue;
2449	>	if((allsamples.collection)[SampleIndices[iSample]].is_data ==false && dodata) continue;
2450	>
2451	>	dout << " Response correction : Using sample " << (allsamples.collection)[SampleIndices[iSample]].filename << " for " << FindKeyword << endl;
2452	>	(allsamples.collection)[SampleIndices[iSample]].events->Draw("sumJetPt[1]/pt:pt>>+niceresponseplotd",(zptforresponsepresentation&&cutOSSF)*cutWeight);
2453	>	(allsamples.collection)[SampleIndices[iSample]].events->Draw("sumJetPt[1]/pt:pt>>+emuResponse",(zptforresponsepresentation&&cutOSOF)*cutWeight);
2454	>	}
2455	>	niceresponseplotd->Add(emuResponse,-1);
2456	>
2457		niceresponseplotd->SetStats(0);
2458		niceresponseplotd->GetXaxis()->SetTitle("Z p_{T} [GeV]");
2459		niceresponseplotd->GetYaxis()->SetTitle("Response");
#	Line 1849 \| Line 2461 \| void find_correction_factors(string &jzb
2461		niceresponseplotd->GetYaxis()->CenterTitle();
2462		niceresponseplotd->Draw("COLZ");
2463		TProfile * profd = (TProfile*)niceresponseplotd->ProfileX();
2464	+	profd->Rebin(2);
2465		profd->SetMarkerSize(DataMarkerSize);
2466	<	profd->Fit("pol0","","same,e1",30,400);
2466	>	profd->Fit("pol0","","same,e1",100,400);
2467		DrawPrelim();
2468	<	TText* title = write_text(0.5,0.7,"Data");
2468	>	string stitle="Data";
2469	>	if(!Contains(FindKeyword,"Data")) stitle="MC";
2470	>	TText* title = write_text(0.5,0.7,stitle.c_str());
2471		title->SetTextAlign(12);
2472		title->Draw();
2473		TF1 datapol=(TF1)profd->GetFunction("pol0");
2474	<	float datacorrection=datapol->GetParameter(0);
2475	<	stringstream dataresstring;
2476	<	dataresstring<<"Response: "<<std::setprecision(2)<<100*datacorrection<<" %";
2477	<	TText* restitle = write_text(0.5,0.65,dataresstring.str());
2474	>	float correction=datapol->GetParameter(0);
2475	>	stringstream resstring;
2476	>	resstring<<"Response: "<<std::setprecision(2)<<100*correction<<" %";
2477	>	TText* restitle = write_text(0.5,0.65,resstring.str());
2478		restitle->SetTextAlign(12);
2479		restitle->SetTextSize(0.03);
2480		restitle->Draw();
2481	<	CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_Data");
2482	<
2483	<	TH2F *niceresponseplotm = new TH2F("niceresponseplotm","",100,0,600,100,0,5);
2484	<	(allsamples.collection)[allsamples.FindSample("DY")[0]].events->Draw("sumJetPt[1]/pt:pt>>niceresponseplotm",zptforresponsepresentation);
2485	<	niceresponseplotm->SetStats(0);
2486	<	niceresponseplotm->GetXaxis()->SetTitle("Z p_{T} [GeV]");
2487	<	niceresponseplotm->GetYaxis()->SetTitle("Response");
2488	<	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");
2481	>	CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_New_"+SaveAs);
2482	>	delete cancorr;
2483	>	delete niceresponseplotd;
2484	>	delete profd;
2485	>	return correction;
2486	>	}
2487	>
2488	>	void find_correction_factors(string &jzbvardata,string &jzbvarmc) {
2489
2490	+	dout << "Computing response corrections: " << endl;
2491	+	//Step 1 : Get results
2492	+	float datacorrection=find_one_correction_factor("Data",true,"","Data");
2493	+	float mccorrection=find_one_correction_factor("DY",false,"","MC");
2494	+
2495	+	float dataEEcorrection=find_one_correction_factor("Data",true,"id1==0","Data_ee");
2496	+	float mcEEcorrection=find_one_correction_factor("DY",false,"id1==0","MC_ee");
2497	+
2498	+	float dataMMcorrection=find_one_correction_factor("Data",true,"id1==1","Data_mm");
2499	+	float mcMMcorrection=find_one_correction_factor("DY",false,"id1==1","MC_mm");
2500	+
2501	+	cout << "Corrections : " << endl;
2502	+	cout << " Data : " << datacorrection << endl;
2503	+	cout << " ee (" << dataEEcorrection << ") , mm (" << dataMMcorrection << ")" << endl;
2504	+	cout << " MC : " << mccorrection << endl;
2505	+	cout << " ee (" << mcEEcorrection << ") , mm (" << mcMMcorrection << ")" << endl;
2506
2507	<	//Step 2: Getting the result
1896	<	// TCut zptcutforresponse("pt>30&&pt<300&&TMath::Abs(91.2-mll)<20&&id1==id2&&(ch1*ch2<0)");
2507	>	//Step 2: Processing the result and making it into something useful :-)
2508		stringstream jzbvardatas;
2509	<	if(datacorrection>1) jzbvardatas<<"(jzb[1]-"<<datacorrection-1<<"*pt)";
2510	<	if(datacorrection<1) jzbvardatas<<"(jzb[1]+"<<1-datacorrection<<"*pt)";
2509	>	jzbvardatas << "(";
2510	>
2511	>	if(dataEEcorrection>=1) jzbvardatas<<"((id1==0&&id1==id2)(jzb[1]-" << dataEEcorrection-1 << "pt))";
2512	>	if(dataEEcorrection<1) jzbvardatas<<"((id1==0&&id1==id2)(jzb[1]+" << 1-dataEEcorrection << "pt))";
2513	>
2514	>	if(dataMMcorrection>=1) jzbvardatas<<"+((id1==1&&id1==id2)(jzb[1]-" << dataMMcorrection-1 << "pt))";
2515	>	if(dataMMcorrection<1) jzbvardatas<<"+((id1==1&&id1==id2)(jzb[1]+" << 1-dataMMcorrection << "pt))";
2516	>
2517	>	float averagecorrection=(dataMMcorrection+dataEEcorrection)/2.0;
2518	>
2519	>	if(datacorrection>=1) jzbvardatas<<"+((id1!=id2)(jzb[1]-" << datacorrection-1 << "pt))";
2520	>	if(datacorrection<1) jzbvardatas<<"+((id1!=id2)(jzb[1]+" << 1-datacorrection << "pt))";
2521	>
2522	>	jzbvardatas << ")";
2523		jzbvardata=jzbvardatas.str();
2524	+
2525		stringstream jzbvarmcs;
2526	<	if(mccorrection>1) jzbvarmcs<<"(jzb[1]-"<<mccorrection-1<<"*pt)";
2527	<	if(mccorrection<1) jzbvarmcs<<"(jzb[1]+"<<1-mccorrection<<"*pt)";
2526	>	jzbvarmcs << "(";
2527	>
2528	>	if(mcEEcorrection>=1) jzbvarmcs<<"((id1==0&&id1==id2)(jzb[1]-" << mcEEcorrection-1 << "pt))";
2529	>	if(mcEEcorrection<1) jzbvarmcs<<"((id1==0&&id1==id2)(jzb[1]+" << 1-mcEEcorrection << "pt))";
2530	>
2531	>	if(mcMMcorrection>=1) jzbvarmcs<<"+((id1==1&&id1==id2)(jzb[1]-" << mcMMcorrection-1 << "pt))";
2532	>	if(mcMMcorrection<1) jzbvarmcs<<"+((id1==1&&id1==id2)(jzb[1]+" << 1-mcMMcorrection << "pt))";
2533	>
2534	>	float averagemccorrection=(mcMMcorrection+mcEEcorrection)/2.0;
2535	>
2536	>	if(mccorrection>=1) jzbvarmcs<<"+((id1!=id2)(jzb[1]-" << mccorrection-1 << "pt))";
2537	>	if(mccorrection<1) jzbvarmcs<<"+((id1!=id2)(jzb[1]+" << 1-mccorrection << "pt))";
2538	>
2539	>	jzbvarmcs << ")";
2540		jzbvarmc=jzbvarmcs.str();
2541	+
2542		dout << "JZB Z pt correction summary : " << endl;
2543		dout << " Data: The response is " << datacorrection << " --> jzb variable is now : " << jzbvardata << endl;
2544		dout << " MC : The response is " << mccorrection << " --> jzb variable is now : " << jzbvarmc << endl;
2545	+
2546		}
2547
2548		void pick_up_events(string cut) {
#	Line 1912 \| Line 2550 \| void pick_up_events(string cut) {
2550		allsamples.PickUpEvents(cut);
2551		}
2552
2553	<	void save_template(string mcjzb, string datajzb,vector<float> jzb_cuts,float MCPeakError) {
2553	>	void save_template(string mcjzb, string datajzb,vector<float> jzb_cuts,float MCPeakError,float DataPeakError, vector<float> jzb_shape_limit_bins) {
2554		dout << "Saving configuration template!" << endl;
2555		ofstream configfile;
2556		configfile.open("../DistributedModelCalculations/last_configuration.C");
#	Line 1932 \| Line 2570 \| void save_template(string mcjzb, string
2570		configfile<<"string datajzb=\"datajzb_ERROR\";\n";
2571		configfile<<"string mcjzb=\"mcjzb_ERROR\";\n";
2572		configfile<<"vector<float>jzb_cuts;\n";
2573	+	configfile<<"vector<float>jzb_shape_limit_bins;\n";
2574		configfile<<"float MCPeakError=-999;\n";
2575	+	configfile<<"float DataPeakError=-999;\n";
2576		configfile<<"}\n\n";
2577
2578		configfile<<"void read_config() {\n";
2579		configfile<<"datajzb=\""<<datajzb<<"\";\n";
2580		configfile<<"mcjzb=\""<<mcjzb<<"\";\n\n";
2581	<	configfile<<"\n\nMCPeakError="<<MCPeakError<<";\n\n";
2582	<	for(int i=0;i<jzb_cuts.size();i++) configfile<<"jzb_cuts.push_back("<<jzb_cuts[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2581	>	configfile<<"\n\nMCPeakError="<<MCPeakError<<";\n";
2582	>	configfile<<"DataPeakError="<<DataPeakError<<";\n\n";
2583	>	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";
2584		configfile<<"\n\n";
2585	<	for(int i=0;i<Nobs.size();i++) configfile<<"Nobs.push_back("<<Nobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2586	<	for(int i=0;i<Npred.size();i++) configfile<<"Npred.push_back("<<Npred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2587	<	for(int i=0;i<Nprederr.size();i++) configfile<<"Nprederr.push_back("<<Nprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2585	>	for(int i=0;i<(int)Nobs.size();i++) configfile<<"Nobs.push_back("<<Nobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2586	>	for(int i=0;i<(int)Npred.size();i++) configfile<<"Npred.push_back("<<Npred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2587	>	for(int i=0;i<(int)Nprederr.size();i++) configfile<<"Nprederr.push_back("<<Nprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2588	>	configfile<<"\n\n";
2589	>	for(int i=0;i<(int)flippedNobs.size();i++) configfile<<"flippedNobs.push_back("<<flippedNobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2590	>	for(int i=0;i<(int)flippedNpred.size();i++) configfile<<"flippedNpred.push_back("<<flippedNpred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2591	>	for(int i=0;i<(int)flippedNprederr.size();i++) configfile<<"flippedNprederr.push_back("<<flippedNprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2592	>	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";
2593		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";
2594		configfile<<"\n\n";
2595		configfile<<"luminosity="<<luminosity<<";\n";
2596	+	configfile<<"RestrictToMassPeak="<<RestrictToMassPeak<<";//defines the type of analysis we're running\n";
2597	+	configfile<<"UseSidebandsForcJZB="<<UseSidebandsForcJZB<<";//tells us whether to use the sidebands or not\n";
2598
2599		configfile<<"\n\ncout << \"Configuration successfully loaded!\" << endl; \n \n } \n \n";
2600
#	Line 1972 \| Line 2617 \| *void draw_all_ttbar_histos(TCanvas can,**
2617		float max=histos[0]->GetMaximum();
2618		if(manualmin>=0) min=manualmin;
2619		else {
2620	<	for(int i=1;i<histos.size();i++) {
2620	>	for(int i=1;i<(int)histos.size();i++) {
2621		float curmin=get_nonzero_minimum(histos[i]);
2622		float curmax=histos[i]->GetMaximum();
2623		if(curmin<min) min=curmin;
#	Line 1983 \| Line 2628 \| *void draw_all_ttbar_histos(TCanvas can,**
2628		histos[0]->Draw(drawoption.c_str());
2629		stringstream drawopt;
2630		drawopt << drawoption << ",same";
2631	<	for(int i=1;i<histos.size();i++) {
2631	>	for(int i=1;i<(int)histos.size();i++) {
2632		histos[i]->Draw(drawopt.str().c_str());
2633		}
2634		}
#	Line 1992 \| Line 2637 \| void ttbar_sidebands_comparison(string m
2637		//in the case of the on peak analysis, we compare the 3 control regions to the real value
2638		//in the case of the OFF peak analysis, we compare our control region to the real value
2639		TCut weightbackup=cutWeight;
2640	<	cutWeight="1.0";
2641	<	float simulatedlumi = luminosity; //in pb please - adjust to your likings
2640	>	switch_overunderflow(true);
2641	>
2642	>	bool doPURW=false;
2643
2644	+
2645	+	if(!doPURW) {
2646	+	dout << "Not doing PU reweighting for ttbar closure test" << endl;
2647	+	cutWeight="1.0";
2648	+	// Do it without PU re-weighting
2649	+	float MCPeakNoPU=0,MCPeakErrorNoPU=0,DataPeakNoPU=0,DataPeakErrorNoPU=0,MCSigma=0,DataSigma=0;
2650	+	stringstream resultsNoPU;
2651	+	stringstream noPUdatajzb;
2652	+	stringstream noPUmcjzb;
2653	+
2654	+	stringstream mcjzbnoPU;
2655	+	find_peaks(MCPeakNoPU,MCPeakErrorNoPU, DataPeakNoPU, DataPeakErrorNoPU,resultsNoPU,true,noPUdatajzb,noPUmcjzb);
2656	+	mcjzb = noPUmcjzb.str();
2657	+	}
2658	+
2659	+
2660	+	float simulatedlumi = luminosity; //in pb please - adjust to your likings
2661
2662	<	TH1F *TZem = systsamples.Draw("TZem",mcjzb,binning,"JZB [GeV]","events",cutmass&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2662	>	TH1F *TZem = systsamples.Draw("TZem", mcjzb,binning,"JZB [GeV]","events",cutmass&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2663		TH1F *nTZem = systsamples.Draw("nTZem","-"+mcjzb,binning,"JZB [GeV]","events",cutmass&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2664		TH1F *TSem;
2665		TH1F *nTSem;
2666	<	TH1F *TZeemm = systsamples.Draw("TZeemm",mcjzb,binning,"JZB [GeV]","events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2666	>	TH1F *TZeemm = systsamples.Draw("TZeemm", mcjzb,binning,"JZB [GeV]","events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2667		TH1F *nTZeemm = systsamples.Draw("nTZeemm","-"+mcjzb,binning,"JZB [GeV]","events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2668		TH1F *TSeemm;
2669		TH1F *nTSeemm;
2670
2671	<	if(PlottingSetup::RestrictToMassPeak) {
2672	<	TSem = systsamples.Draw("TSem",mcjzb,binning,"JZB [GeV]","events",sidebandcut&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2673	<	nTSem = systsamples.Draw("nTSem","-"+mcjzb,binning,"JZB [GeV]","events",sidebandcut&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2674	<	TSeemm = systsamples.Draw("TSeemm",mcjzb,binning,"JZB [GeV]","events",sidebandcut&&cutOSSF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2671	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2672	>	TSem = systsamples.Draw("TSem", mcjzb,binning,"JZB [GeV]","events",sidebandcut&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2673	>	nTSem = systsamples.Draw("nTSem", "-"+mcjzb,binning,"JZB [GeV]","events",sidebandcut&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2674	>	TSeemm = systsamples.Draw("TSeemm", mcjzb,binning,"JZB [GeV]","events",sidebandcut&&cutOSSF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2675		nTSeemm = systsamples.Draw("nTSeemm","-"+mcjzb,binning,"JZB [GeV]","events",sidebandcut&&cutOSSF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2676		}
2677
2678		TCanvas *tcan = new TCanvas("tcan","tcan");
2016	–
2679		tcan->SetLogy(1);
2680
2681		TZeemm->SetLineColor(kBlack);
#	Line 2022 \| Line 2684 \| void ttbar_sidebands_comparison(string m
2684		TZem->SetMarkerColor(kRed);
2685
2686
2687	<	if(PlottingSetup::RestrictToMassPeak) {
2687	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2688		TSem->SetLineColor(TColor::GetColor("#00A616"));
2689		TSeemm->SetLineColor(kMagenta+2);
2690		TSem->SetMarkerColor(TColor::GetColor("#00A616"));
#	Line 2032 \| Line 2694 \| void ttbar_sidebands_comparison(string m
2694		}
2695
2696		vector<TH1F*> histos;
2697	+	TZem->GetXaxis()->SetRangeUser(-100,binning[binning.size()-1]);
2698	+	TZeemm->GetXaxis()->SetRangeUser(-100,binning[binning.size()-1]);
2699		histos.push_back(TZem);
2700		histos.push_back(TZeemm);
2701	<	if(PlottingSetup::RestrictToMassPeak) {
2701	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2702	>	TSeemm->GetXaxis()->SetRangeUser(-100,binning[binning.size()-1]);
2703	>	TSem->GetXaxis()->SetRangeUser(-100,binning[binning.size()-1]);
2704		histos.push_back(TSem);
2705		histos.push_back(TSeemm);
2706		}
2707	<	draw_all_ttbar_histos(tcan,histos,"histo",0.04);
2707	>	draw_all_ttbar_histos(tcan,histos,"histo",8);
2708
2709		TLegend *leg = make_legend("MC t#bar{t}",0.6,0.65,false);
2710		leg->AddEntry(TZeemm,"SFZP","l");
2711		leg->AddEntry(TZem,"OFZP","l");
2712	<	if(PlottingSetup::RestrictToMassPeak) {
2712	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2713		leg->AddEntry(TSeemm,"SFSB","l");
2714		leg->AddEntry(TSem,"OFSB","l");
2715		}
#	Line 2053 \| Line 2719 \| void ttbar_sidebands_comparison(string m
2719
2720		TH1F TZemcopy = (TH1F)TZem->Clone("TZemcopy");
2721		TH1F TZeemmcopy = (TH1F)TZeemm->Clone("TZeemmcopy");
2722	<	TH1F TSeemmcopy = (TH1F)TSeemm->Clone("TSeemmcopy");
2723	<	TH1F TSemcopy = (TH1F)TSem->Clone("TSemcopy");
2722	>	TH1F *TSeemmcopy;
2723	>	TH1F *TSemcopy;
2724	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2725	>	TSeemmcopy = (TH1F*)TSeemm->Clone("TSeemmcopy");
2726	>	TSemcopy = (TH1F*)TSem->Clone("TSemcopy");
2727	>	}
2728
2729		TZem->Divide(TZeemm);
2730		TZem->SetMarkerStyle(21);
2731	<	if(PlottingSetup::RestrictToMassPeak) {
2731	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2732		TSem->Divide(TZeemm);
2733		TSeemm->Divide(TZeemm);
2734		TSem->SetMarkerStyle(24);
2735		TSeemm->SetMarkerStyle(32);
2736	<	}
2736	>	}
2737
2738		tcan->SetLogy(0);
2739		TZem->GetYaxis()->SetRangeUser(0,2.5);
2740		TZem->GetYaxis()->SetTitle("ratio");
2741		TZem->Draw();
2742	<	if(PlottingSetup::RestrictToMassPeak) {
2742	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2743		TSem->Draw("same");
2744		TSeemm->Draw("same");
2745		}
2746
2747	<	float linepos=0.25;
2748	<	if(PlottingSetup::RestrictToMassPeak) linepos=0.25;
2747	>	float linepos=emuncertONPEAK;
2748	>	if(!PlottingSetup::RestrictToMassPeak) linepos=emuncertOFFPEAK;
2749	>
2750		TLine *top = new TLine(binning[0],1.0+linepos,binning[binning.size()-1],1.0+linepos);
2751		TLine *center = new TLine(binning[0],1.0,binning[binning.size()-1],1.0);
2752		TLine *bottom = new TLine(binning[0],1.0-linepos,binning[binning.size()-1],1.0-linepos);
2753
2754	+	/*write_warning(__FUNCTION__,"These two lines are to be removed!");
2755	+	TLine *topalt = new TLine(binning[0],1.0+0.1,binning[binning.size()-1],1.0+0.1);
2756	+	TLine *bottomalt = new TLine(binning[0],1.0-0.1,binning[binning.size()-1],1.0-0.1);
2757	+	topalt->SetLineColor(kRed);topalt->SetLineStyle(3);
2758	+	bottomalt->SetLineColor(kRed);bottomalt->SetLineStyle(3);
2759	+	topalt->Draw("same");bottomalt->Draw("same");*/
2760	+
2761	+
2762		top->SetLineColor(kBlue);top->SetLineStyle(2);
2763		bottom->SetLineColor(kBlue);bottom->SetLineStyle(2);
2764		center->SetLineColor(kBlue);
#	Line 2090 \| Line 2769 \| void ttbar_sidebands_comparison(string m
2769
2770		TLegend *leg2 = make_legend("MC t#bar{t}",0.55,0.75,false);
2771		leg2->AddEntry(TZem,"OFZP / SFZP","ple");
2772	<	if(PlottingSetup::RestrictToMassPeak) {
2772	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2773		leg2->AddEntry(TSeemm,"SFSB / SFZP","ple");
2774		leg2->AddEntry(TSem,"OFSB / SFZP","ple");
2775		}
#	Line 2103 \| Line 2782 \| void ttbar_sidebands_comparison(string m
2782		DrawMCPrelim(simulatedlumi);
2783		CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_shape_comparison_ratio");
2784
2785	+
2786	+	if (0) { // Turn this off: we don't need this
2787
2788	+	///-------------- second part: only look at the quantity we actually care about!
2789	+	TH1F leftsfzp = (TH1F)nTZeemm->Clone("leftsfzp");
2790	+	TH1F rightsfzp = (TH1F)TZeemmcopy->Clone("rightsfzp");
2791	+	rightsfzp->Add(leftsfzp,-1);
2792	+	TH1F leftofzp = (TH1F)nTZem->Clone("leftofzp");
2793	+	TH1F rightofzp = (TH1F)TZemcopy->Clone("rightofzp");
2794	+	rightofzp->Add(leftofzp,-1);
2795	+	TH1F *leftofsb;
2796	+	TH1F *rightofsb;
2797	+	TH1F *leftsfsb;
2798	+	TH1F *rightsfsb;
2799	+	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2800	+	leftofsb = (TH1F*)nTSem->Clone("leftofsb");
2801	+	rightofsb = (TH1F*)TSemcopy->Clone("rightofsb");
2802	+	rightofsb->Add(leftofsb,-1);
2803	+	leftsfsb = (TH1F*)nTSeemm->Clone("leftsfsb");
2804	+	rightsfsb = (TH1F*)TSeemmcopy->Clone("rightsfsb");
2805	+	rightsfsb->Add(leftsfsb,-1);
2806	+	}
2807
2808	<	///-------------- second part: only look at the quantity we actually care about!
2809	<	TH1F leftsfzp = (TH1F)nTZeemm->Clone("leftsfzp");
2810	<	TH1F rightsfzp = (TH1F)TZeemmcopy->Clone("rightsfzp");
2811	<	rightsfzp->Add(leftsfzp,-1);
2812	<	TH1F leftofzp = (TH1F)nTZem->Clone("leftofzp");
2813	<	TH1F rightofzp = (TH1F)TZemcopy->Clone("rightofzp");
2814	<	rightofzp->Add(leftofzp,-1);
2815	<	TH1F *leftofsb;
2816	<	TH1F *rightofsb;
2817	<	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	<	}
2808	>	tcan->SetLogy(1);
2809	>	rightsfzp->GetXaxis()->SetRangeUser(0,binning[binning.size()-1]);
2810	>	rightsfzp->GetYaxis()->SetTitle("#deltaJZB / 25 GeV");
2811	>	rightsfzp->Draw("histo");
2812	>	rightofzp->Draw("histo,same");
2813	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2814	>	rightofsb->Draw("histo,same");
2815	>	rightsfsb->Draw("histo,same");
2816	>	}
2817	>	DrawMCPrelim(simulatedlumi);
2818
2819	<	tcan->SetLogy(1);
2820	<	rightsfzp->GetXaxis()->SetRangeUser(0,binning[binning.size()-1]);
2821	<	rightsfzp->GetYaxis()->SetTitle("#deltaJZB / 25 GeV");
2822	<	rightsfzp->Draw("histo");
2823	<	rightofzp->Draw("histo,same");
2824	<	if(PlottingSetup::RestrictToMassPeak) {
2825	<	rightofsb->Draw("histo,same");
2826	<	rightsfsb->Draw("histo,same");
2136	<	}
2137	<	DrawMCPrelim(simulatedlumi);
2819	>	TLegend *legA = make_legend("MC t#bar{t}",0.6,0.65,false);
2820	>	legA->AddEntry(rightsfzp,"SFZP","l");
2821	>	legA->AddEntry(rightofzp,"OFZP","l");
2822	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2823	>	legA->AddEntry(rightofsb,"SFSB","l");
2824	>	legA->AddEntry(rightsfsb,"OFSB","l");
2825	>	}
2826	>	legA->Draw();
2827
2828	<	TLegend *legA = make_legend("MC t#bar{t}",0.6,0.65,false);
2140	<	legA->AddEntry(rightsfzp,"SFZP","l");
2141	<	legA->AddEntry(rightofzp,"OFZP","l");
2142	<	if(PlottingSetup::RestrictToMassPeak) {
2143	<	legA->AddEntry(rightofsb,"SFSB","l");
2144	<	legA->AddEntry(rightsfsb,"OFSB","l");
2145	<	}
2146	<	legA->Draw();
2828	>	CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_deltajzb_comparison");
2829
2830	<	CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_deltajzb_comparison");
2830	>	tcan->SetLogy(0);
2831	>	rightofzp->Divide(rightsfzp);
2832	>	rightofzp->GetXaxis()->SetRangeUser(0.0,binning[binning.size()-1]);
2833	>	rightofzp->GetYaxis()->SetRangeUser(0.0,2.5);
2834	>	rightofzp->GetYaxis()->SetTitle("#deltaJZB ratio");
2835	>	rightofzp->Draw();
2836	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2837	>	rightofsb->Divide(rightsfzp);
2838	>	rightsfsb->Divide(rightsfzp);
2839	>	rightofsb->Draw("same");
2840	>	rightsfsb->Draw("same");
2841	>	}
2842
2843	<	tcan->SetLogy(0);
2844	<	rightofzp->Divide(rightsfzp);
2845	<	rightofzp->GetXaxis()->SetRangeUser(0.0,binning[binning.size()-1]);
2846	<	rightofzp->GetYaxis()->SetRangeUser(0.0,2.0);
2847	<	rightofzp->GetYaxis()->SetTitle("#deltaJZB ratio");
2848	<	rightofzp->Draw();
2849	<	if(PlottingSetup::RestrictToMassPeak) {
2850	<	rightofsb->Divide(rightsfzp);
2851	<	rightsfsb->Divide(rightsfzp);
2852	<	rightofsb->Draw("same");
2853	<	rightsfsb->Draw("same");
2854	<	}
2855	<
2856	<	TLine *top2 = new TLine(0.0,1.0+linepos,binning[binning.size()-1],1.0+linepos);
2857	<	TLine *center2 = new TLine(0.0,1.0,binning[binning.size()-1],1.0);
2858	<	TLine *bottom2 = new TLine(0.0,1.0-linepos,binning[binning.size()-1],1.0-linepos);
2859	<
2860	<	top2->SetLineColor(kBlue);top2->SetLineStyle(2);
2861	<	bottom2->SetLineColor(kBlue);bottom2->SetLineStyle(2);
2862	<	center2->SetLineColor(kBlue);
2863	<
2864	<	top2->Draw("same");
2865	<	center2->Draw("same");
2866	<	bottom2->Draw("same");
2867	<
2868	<	rightofzp->SetMarkerStyle(21);
2869	<	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);
2843	>	TLine *top2 = new TLine(0.0,1.0+linepos,binning[binning.size()-1],1.0+linepos);
2844	>	TLine *center2 = new TLine(0.0,1.0,binning[binning.size()-1],1.0);
2845	>	TLine *bottom2 = new TLine(0.0,1.0-linepos,binning[binning.size()-1],1.0-linepos);
2846	>
2847	>	top2->SetLineColor(kBlue);top2->SetLineStyle(2);
2848	>	bottom2->SetLineColor(kBlue);bottom2->SetLineStyle(2);
2849	>	center2->SetLineColor(kBlue);
2850	>
2851	>	top2->Draw("same");
2852	>	center2->Draw("same");
2853	>	bottom2->Draw("same");
2854	>
2855	>	rightofzp->SetMarkerStyle(21);
2856	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2857	>	rightofsb->SetMarkerStyle(24);
2858	>	rightsfsb->SetMarkerStyle(32);
2859	>	}
2860	>
2861	>	TLegend *leg3 = make_legend("MC t#bar{t}",0.55,0.75,false);
2862	>	leg3->AddEntry(rightofzp,"OFZP / SFZP","ple");
2863	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2864	>	leg3->AddEntry(rightsfsb,"SFSB / SFZP","ple");
2865	>	leg3->AddEntry(rightofsb,"OFSB / SFZP","ple");
2866	>	}
2867	>	leg3->AddEntry(bottom,"syst. envelope","l");
2868	>	leg3->SetX1(0.25);leg3->SetX2(0.6);
2869	>	leg3->SetY1(0.65);
2870
2871	<	leg3->Draw("same");
2871	>	leg3->Draw("same");
2872
2873	<	DrawMCPrelim(simulatedlumi);
2874	<	CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_deltajzb_comparison_ratio");
2873	>	DrawMCPrelim(simulatedlumi);
2874	>	CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_deltajzb_comparison_ratio");
2875	>
2876	>	}
2877
2878		delete TZem;
2879		delete nTZem;
2880		delete TZeemm;
2881		delete nTZeemm;
2882	<	if(PlottingSetup::RestrictToMassPeak) {
2882	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2883		delete TSem;
2884		delete nTSem;
2885		delete TSeemm;
#	Line 2206 \| Line 2888 \| void ttbar_sidebands_comparison(string m
2888
2889		delete tcan;
2890		cutWeight=weightbackup;
2891	+	switch_overunderflow(false);
2892		}
2893
2894		void ttbar_sidebands_comparison(string mcjzb, vector<float> jzb_binning) {
2895		vector<float> nicer_binning;
2896	<	nicer_binning.push_back(-125);
2896	>
2897	>	/* nicer_binning.push_back(-400);
2898	>	nicer_binning.push_back(-250);
2899	>	nicer_binning.push_back(-200);
2900	>	nicer_binning.push_back(-150);
2901	>	nicer_binning.push_back(-100);
2902	>	nicer_binning.push_back(-50);
2903	>	nicer_binning.push_back(-20);
2904	>
2905	>	nicer_binning.push_back(0);
2906	>	nicer_binning.push_back(20);
2907	>	nicer_binning.push_back(50);
2908	>	nicer_binning.push_back(100);
2909	>	nicer_binning.push_back(150);
2910	>	nicer_binning.push_back(200);
2911	>	nicer_binning.push_back(250);
2912	>	nicer_binning.push_back(400);*/
2913	>
2914		nicer_binning.push_back(-100);
2215	–	nicer_binning.push_back(-75);
2915		nicer_binning.push_back(-50);
2916		nicer_binning.push_back(-25);
2917		nicer_binning.push_back(0);
#	Line 2222 \| Line 2921 \| void ttbar_sidebands_comparison(string m
2921		nicer_binning.push_back(100);
2922		nicer_binning.push_back(125);
2923		nicer_binning.push_back(150);
2924	<	nicer_binning.push_back(175);
2924	>	//nicer_binning.push_back(175);
2925		nicer_binning.push_back(200);
2926	<	nicer_binning.push_back(230);
2927	<	nicer_binning.push_back(280);
2928	<	nicer_binning.push_back(400);
2926	>	// nicer_binning.push_back(250);
2927	>	// nicer_binning.push_back(300);
2928	>	// nicer_binning.push_back(400);
2929	>
2930		ttbar_sidebands_comparison(mcjzb,nicer_binning, "ttbar/");
2931		}
2932
2933
2934	<	void zjets_prediction_comparison() {
2935	<	// Do it without PU re-weighting
2936	<	float MCPeakNoPU=0,MCPeakErrorNoPU=0,DataPeakNoPU=0,DataPeakErrorNoPU=0,MCSigma=0,DataSigma=0;
2937	<	stringstream resultsNoPU;
2938	<
2939	<	stringstream mcjzbnoPU;
2940	<	find_peaks(MCPeakNoPU,MCPeakErrorNoPU, DataPeakNoPU, DataPeakErrorNoPU,MCSigma,DataSigma,resultsNoPU,false);
2941	<	if(MCPeakNoPU>0) mcjzbnoPU<<"("<<jzbvariablemc<<"-"<<TMath::Abs(MCPeakNoPU)<<")";
2942	<	else mcjzbnoPU<<"("<<jzbvariablemc<<"+"<<TMath::Abs(MCPeakNoPU)<<")";
2934	>	void zjets_prediction_comparison(string mcjzbWithPUa) {
2935	>	cout << "****************************************************************************************************************************************************************" << endl;
2936	>	TCanvas *zcan = new TCanvas("zcan","zcan");
2937	>	// zcan->SetLogy(1);
2938	>	TCut weightbackup=cutWeight;
2939	>
2940	>	bool UsePURW=true;
2941	>
2942	>
2943	>	string mcjzb;
2944	>	if(UsePURW) {
2945	>	mcjzb=mcjzbWithPUa;
2946	>	cout << "Using PURW peak positions" << endl;
2947	>	} else {
2948	>	// Do it without PU re-weighting
2949	>	cutWeight="1.0";
2950	>	float MCPeakNoPU=0,MCPeakErrorNoPU=0,DataPeakNoPU=0,DataPeakErrorNoPU=0,MCSigma=0,DataSigma=0;
2951	>	stringstream resultsNoPU;
2952	>	stringstream noPUdatajzb;
2953	>	stringstream noPUmcjzb;
2954	>
2955	>	find_peaks(MCPeakNoPU,MCPeakErrorNoPU, DataPeakNoPU, DataPeakErrorNoPU,resultsNoPU,false,noPUdatajzb,noPUmcjzb);
2956	>	dout << "The peak corrected JZB expression for MC without pileup is : " << noPUmcjzb.str() << endl;
2957	>
2958	>	mcjzb = noPUmcjzb.str();
2959	>
2960	>	}
2961
2962	<	string mcjzb = mcjzbnoPU.str();
2963	<	dout << "The peak corrected JZB expression for MC without pileup is : " << mcjzb << endl;
2962	>
2963	>	vector<float> binning;
2964	>	binning.push_back(0);
2965	>	binning.push_back(10);
2966	>	binning.push_back(20);
2967	>	binning.push_back(40);
2968	>	binning.push_back(60);
2969	>	// binning.push_back(50);
2970	>	// binning.push_back(60);
2971	>	// binning.push_back(70);
2972	>	// binning.push_back(80);
2973	>	// binning.push_back(90);
2974	>	binning.push_back(100);
2975
2247	–	TCut weightbackup=cutWeight;
2248	–	cutWeight="1.0";
2249	–	float sbg_min=0.;
2250	–	float sbg_max=100.;
2251	–	int sbg_nbins=5;
2976		float simulatedlumi = luminosity;//in pb please - adjust to your likings
2977
2978		TCut kPos((mcjzb+">0").c_str());
2979		TCut kNeg((mcjzb+"<0").c_str());
2980		string var( "abs("+mcjzb+")" );
2981	+
2982	+	TCut notTau("abs(genMID1)!=15");
2983	+	TCut ee_mm_tautau("mll>0");
2984	+
2985
2986	<	TCut kcut(cutmass&&cutOSSF&&"pfJetGoodNum>2");
2987	<	TH1F *hJZBpos = systsamples.Draw("hJZBpos",var,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",
2988	<	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"));
2986	>	TH1F *hJZBpos = systsamples.Draw("hJZBpos",var,binning, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets&&notTau&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
2987	>	TH1F *hJZBneg = systsamples.Draw("hJZBneg",var,binning, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets&&notTau&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
2988	>
2989		hJZBpos->SetLineColor(kBlack);
2990		hJZBneg->SetLineColor(kRed);
2991
2992	<	Int_t nbins = 5;
2267	<	Float_t xmax = 100.;
2268	<
2269	<
2270	<	TCanvas *zcan = new TCanvas("zcan","zcan");
2271	<	zcan->SetLogy(1);
2272	<
2992	>	hJZBpos->SetMinimum(1.0);
2993		hJZBpos->Draw("e1");
2994		hJZBneg->Draw("same,hist");
2995		hJZBpos->Draw("same,e1"); // So it's on top...
2996
2997	<	TLegend *leg = make_legend("MC Z+jets",0.55,0.75,false);
2997	>	TLegend *leg = make_legend("MC Z+jets #rightarrow ee,#mu#mu",0.55,0.75,false);
2998		leg->AddEntry(hJZBpos,"Observed","pe");
2999		leg->AddEntry(hJZBneg,"Predicted","l");
3000		leg->Draw("same");
3001		DrawMCPrelim(simulatedlumi);
3002	<	CompleteSave(zcan,"Systematics/zjets_prediction");
3002	>	CompleteSave(zcan,"Systematics/ZJets/zjets_eemm_prediction");
3003
3004		TH1F* hratio = (TH1F*)hJZBpos->Clone("hratio");
3005		hratio->Divide(hJZBneg);
3006
3007	+	for(int i=1;i<=hJZBpos->GetNbinsX();i++) {
3008	+	cout << "Positive: " << hJZBpos->GetBinContent(i) << " vs Negative : " << hJZBneg->GetBinContent(i) << " (ratio : " << hJZBpos->GetBinContent(i) / hJZBneg->GetBinContent(i) << endl;
3009	+	}
3010	+
3011		zcan->SetLogy(0);
3012		hratio->GetYaxis()->SetRangeUser(0,2.5);
3013		hratio->GetYaxis()->SetTitle("Observed/Predicted");
3014		hratio->Draw("e1");
3015
3016	<	TLine *top = new TLine(sbg_min,1.25,sbg_max,1.25);
3017	<	TLine *center = new TLine(sbg_min,1.0,sbg_max,1.0);
3018	<	TLine *bottom = new TLine(sbg_min,0.75,sbg_max,0.75);
3016	>	TLine *top = new TLine(binning[0],1.25,binning[binning.size()-1],1.25);
3017	>	TLine *center = new TLine(binning[0],1.0,binning[binning.size()-1],1.0);
3018	>	TLine *bottom = new TLine(binning[0],0.75,binning[binning.size()-1],0.75);
3019
3020
3021		top->SetLineColor(kBlue);top->SetLineStyle(2);
#	Line 2302 \| Line 3026 \| void zjets_prediction_comparison() {
3026		center->Draw("same");
3027		bottom->Draw("same");
3028
3029	<	TLegend *leg2 = make_legend("MC Z+jets",0.25,0.75,false);
3029	>	TLegend *leg2 = make_legend("MC Z+jets #rightarrow ee,#mu#mu",0.25,0.75,false);
3030		leg2->AddEntry(hratio,"obs / pred","pe");
3031		leg2->AddEntry(bottom,"syst. envelope","l");
3032		leg2->Draw("same");
3033		DrawMCPrelim(simulatedlumi);
3034	<	CompleteSave(zcan,"Systematics/zjets_prediction_ratio");
3034	>	CompleteSave(zcan,"Systematics/ZJets/zjets_eemm_prediction_ratio");
3035	>
3036	>	TCut reducedNJets(cutnJets);
3037	>
3038	>	TH1F *TAUhJZBpos = systsamples.Draw("TAUhJZBpos",var,binning, "JZB [GeV]", "events",cutmass&&cutOSSF&&reducedNJets&&ee_mm_tautau&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
3039	>	TH1F *LcorrJZBeemm = systsamples.Draw("LcorrJZBeemm",var,binning, "JZB [GeV]", "events",cutmass&&cutOSSF&&reducedNJets&&ee_mm_tautau&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
3040	>	TH1F *RcorrJZBem = systsamples.Draw("RcorrJZBem",var,binning, "JZB [GeV]", "events",cutmass&&cutOSOF&&reducedNJets&&ee_mm_tautau&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
3041	>	TH1F *LcorrJZBem = systsamples.Draw("LcorrJZBem",var,binning, "JZB [GeV]", "events",cutmass&&cutOSOF&&reducedNJets&&ee_mm_tautau&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
3042	>
3043	>	TH1F *RcorrJZBSBem;
3044	>	TH1F *LcorrJZBSBem;
3045	>	TH1F *RcorrJZBSBeemm;
3046	>	TH1F *LcorrJZBSBeemm;
3047	>
3048	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
3049	>	RcorrJZBSBem = systsamples.Draw("RcorrJZBSBem",var,binning, "JZB [GeV]", "events",sidebandcut&&cutOSOF&&reducedNJets&&ee_mm_tautau&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
3050	>	LcorrJZBSBem = systsamples.Draw("LcorrJZBSBem",var,binning, "JZB [GeV]", "events",sidebandcut&&cutOSOF&&reducedNJets&&ee_mm_tautau&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
3051	>	RcorrJZBSBeemm = systsamples.Draw("RcorrJZBSBeemm",var,binning, "JZB [GeV]", "events",sidebandcut&&cutOSSF&&reducedNJets&&ee_mm_tautau&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
3052	>	LcorrJZBSBeemm = systsamples.Draw("LcorrJZBSBeemm",var,binning, "JZB [GeV]", "events",sidebandcut&&cutOSSF&&reducedNJets&&ee_mm_tautau&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
3053	>	}
3054	>
3055	>	TH1F Bpred = (TH1F)LcorrJZBeemm->Clone("Bpred");
3056	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
3057	>	Bpred->Add(RcorrJZBem,1.0/3.);
3058	>	Bpred->Add(LcorrJZBem,-1.0/3.);
3059	>	Bpred->Add(RcorrJZBSBem,1.0/3.);
3060	>	Bpred->Add(LcorrJZBSBem,-1.0/3.);
3061	>	Bpred->Add(RcorrJZBSBeemm,1.0/3.);
3062	>	Bpred->Add(LcorrJZBSBeemm,-1.0/3.);
3063	>	} else {
3064	>	Bpred->Add(RcorrJZBem,1.0);
3065	>	Bpred->Add(LcorrJZBem,-1.0);
3066	>	}
3067	>
3068	>	Bpred->SetLineColor(kRed);
3069	>
3070	>	TAUhJZBpos->SetLineColor(kBlack);
3071	>	Bpred->SetLineColor(kRed);
3072	>
3073	>	TAUhJZBpos->SetMinimum(1.0);
3074	>	TAUhJZBpos->Draw("e1");
3075	>	Bpred->Draw("same,hist");
3076	>	TAUhJZBpos->Draw("same,e1");
3077	>
3078	>	TLegend *TAUleg = make_legend("MC Z+jets #rightarrow ee,#mu#mu,#tau#tau",0.55,0.75,false);
3079	>	TAUleg->AddEntry(TAUhJZBpos,"Observed","pe");
3080	>	TAUleg->AddEntry(Bpred,"Predicted","l");
3081	>	TAUleg->Draw("same");
3082	>	DrawMCPrelim(simulatedlumi);
3083	>	CompleteSave(zcan,"Systematics/ZJets/zjets_eemumutautau_prediction");
3084	>
3085	>	TH1F* TAUhratio = (TH1F*)TAUhJZBpos->Clone("TAUhratio");
3086	>	TAUhratio->Divide(Bpred);
3087	>
3088	>	for(int i=1;i<=TAUhJZBpos->GetNbinsX();i++) {
3089	>	cout << "ee/mm/tautau observed: " << TAUhJZBpos->GetBinContent(i) << " vs predicted : " << Bpred->GetBinContent(i) << " (ratio : " << TAUhJZBpos->GetBinContent(i) / Bpred->GetBinContent(i) << endl;
3090	>	}
3091	>
3092	>	zcan->SetLogy(0);
3093	>	TAUhratio->GetYaxis()->SetRangeUser(0,2.5);
3094	>	TAUhratio->GetYaxis()->SetTitle("Observed/Predicted");
3095	>	TAUhratio->Draw("e1");
3096	>
3097	>	top->Draw("same");
3098	>	center->Draw("same");
3099	>	bottom->Draw("same");
3100	>
3101	>	TLegend *TAUleg2 = make_legend("MC Z+jets #rightarrow ee,#mu#mu",0.25,0.75,false);
3102	>	TAUleg2->AddEntry(TAUhratio,"obs / pred","pe");
3103	>	TAUleg2->AddEntry(bottom,"syst. envelope","l");
3104	>	TAUleg2->Draw("same");
3105	>	DrawMCPrelim(simulatedlumi);
3106	>	CompleteSave(zcan,"Systematics/ZJets/zjets_eemumutautau_prediction_ratio");
3107	>
3108	>	delete Bpred;
3109	>	delete TAUhJZBpos;
3110	>	delete LcorrJZBeemm;
3111	>	delete RcorrJZBem;
3112	>	delete LcorrJZBem;
3113	>
3114	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
3115	>	delete RcorrJZBSBem;
3116	>	delete LcorrJZBSBem;
3117	>	delete RcorrJZBSBeemm;
3118	>	delete LcorrJZBSBeemm;
3119	>	}
3120	>
3121
3122		delete zcan;
3123		cutWeight=weightbackup;
#	Line 2333 \| Line 3143 \| void sideband_assessment(string datajzb,
3143		tout << "\\begin{tabular}{l\|cc}" << endl;
3144		tout << "\\hline" << endl;
3145		tout << "& {\\OFZP} & {\\OFSB} \\\\\\hline" << endl;
3146	<	tout << "\\#(events) & "<<OFSB<<" & "<<OFZP<<"\\\\ \\hline" << endl;
3146	>	tout << "\\#(events) & "<<OFZP<<" & "<<OFSB<<"\\\\ \\hline" << endl;
3147		tout << "\\end{tabular}" << endl;
3148		tout << "\\end{center}" << endl;
3149		tout << "\\end{table}" << endl;
#	Line 2351 \| Line 3161 \| void make_table(samplecollection &coll,
3161
3162		TCanvas *cannie = new TCanvas("cannie","cannie");
3163
3164	<	for(int icut=0;icut<jzb_cuts.size();icut++) {
3164	>	for(int icut=0;icut<(int)jzb_cuts.size();icut++) {
3165		float currcut=jzb_cuts[icut];
3166		int nbins=1;float low=currcut;
3167		vector<int> mysample;
#	Line 2366 \| Line 3176 \| void make_table(samplecollection &coll,
3176		TH1F *RcorrJZBSBeemm;
3177		TH1F *LcorrJZBSBeemm;
3178
3179	<	if(PlottingSetup::RestrictToMassPeak) {
3179	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
3180		RcorrJZBSBem = coll.Draw("RcorrJZBSBem",jzbexpr.c_str(),nbins,low,14000, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity, mysample);
3181		LcorrJZBSBem = coll.Draw("LcorrJZBSBem",("-("+jzbexpr+")").c_str(),nbins,low,14000, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity, mysample);
3182		RcorrJZBSBeemm = coll.Draw("RcorrJZBSBeemm",jzbexpr.c_str(),nbins,low,14000, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity, mysample);
#	Line 2374 \| Line 3184 \| void make_table(samplecollection &coll,
3184		}
3185
3186		TH1F Bpred = (TH1F)LcorrJZBeemm->Clone("Bpred");
3187	<	if(PlottingSetup::RestrictToMassPeak) {
3187	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
3188		Bpred->Add(RcorrJZBem,1.0/3.);
3189		Bpred->Add(LcorrJZBem,-1.0/3.);
3190		Bpred->Add(RcorrJZBSBem,1.0/3.);
#	Line 2410 \| Line 3220 \| void make_table(samplecollection &coll,
3220		//prediction part
3221		if(is_data) cout << "Data prediction & ";
3222		if(subselection!="none") cout << subselection << " prediction &";
3223	<	for(int ij=0;ij<jzb_cuts.size();ij++) cout << jzbcutprediction[ij] << " vs " << metcutprediction[ij] << " & ";
3223	>	for(int ij=0;ij<(int)jzb_cuts.size();ij++) cout << jzbcutprediction[ij] << " vs " << metcutprediction[ij] << " & ";
3224
3225		cout << endl;
3226		//observation part
3227		if(is_data) cout << "Data observation & ";
3228		if(subselection!="none") cout << subselection << " observation &";
3229	<	for(int ij=0;ij<jzb_cuts.size();ij++) cout << jzbcutobservation[ij] << " vs " << metcutobservation[ij] << " & ";
3229	>	for(int ij=0;ij<(int)jzb_cuts.size();ij++) cout << jzbcutobservation[ij] << " vs " << metcutobservation[ij] << " & ";
3230		cout << endl;
3231		cout << "_________________________________________________________________" << endl;
3232		delete cannie;
#	Line 2451 \| Line 3261 \| *void JZBSelEff(string mcjzb, TTree even**
3261		int nbins = sizeof(xbins)/sizeof(float)-1;
3262		int markers[] = { 20, 26, 21, 24, 22, 25, 28 };
3263
3264	<	TH1F* heff = new TH1F("heff", "JZB eff ; generator-level JZB [GeV]; efficiency",nbins,xbins);
3265	<	TH1F* hgen = new TH1F("hgen", "JZB gen ; generator-level JZB [GeV]; efficiency",nbins,xbins);
3266	<	TH1F* hreco = new TH1F("hreco","JZB reco ; generator-level JZB [GeV]; efficiency",nbins,xbins);
3264	>
3265	>	TH1F* heff = new TH1F("heff", "JZB eff ; generator JZB [GeV]; efficiency",nbins,xbins);
3266	>	TH1F* hgen = new TH1F("hgen", "JZB gen ; generator JZB [GeV]; efficiency",nbins,xbins);
3267	>	TH1F* hreco = new TH1F("hreco","JZB reco ; generator JZB [GeV]; efficiency",nbins,xbins);
3268
3269		TCut kgen(genMassCut&&"genZPt>0&&genNjets>2&&abs(genMID)==23"&&cutOSSF);
3270		TCut kreco(cutmass);
#	Line 2469 \| Line 3280 \| *void JZBSelEff(string mcjzb, TTree even**
3280		TCanvas *can = new TCanvas("can","Canvas for JZB Efficiency",600,600);
3281		can->SetGridx(1);
3282		can->SetGridy(1);
3283	+	can->SetLeftMargin(0.16);
3284	+	can->SetRightMargin(0.05);
3285		TLegend *leg = make_legend("",0.6,0.2,false,0.89,0.5);
3286	+	leg->SetBorderSize(1);
3287	+	leg->SetLineColor(kBlack);
3288	+	leg->SetTextFont(62);
3289
3290	<
2475	<
2476	<	for ( int icut=0; icut<jzb_bins.size(); ++icut ) {
3290	>	for ( int icut=0; icut<(int)jzb_bins.size(); ++icut ) {
3291
3292		ostringstream selection;
3293		selection << mcjzb << ">" << jzb_bins[icut];
#	Line 2489 \| Line 3303 \| *void JZBSelEff(string mcjzb, TTree even**
3303		}
3304
3305		heff->GetXaxis()->SetRangeUser(min, max);
3306	+	// heff->GetXaxis()->SetLabelSize(0.05); // paper style. overruled.
3307	+	// heff->GetYaxis()->SetLabelSize(0.05); // paper style. overruled.
3308	+	// heff->GetXaxis()->SetTitleSize(0.06); // paper style. overruled.
3309	+	// heff->GetYaxis()->SetTitleSize(0.06); // paper style. overruled.
3310		heff->SetMarkerStyle(markers[icut]);
3311		heff->Fit("func","Q+","same");
3312
#	Line 2500 \| Line 3318 \| *void JZBSelEff(string mcjzb, TTree even**
3318
3319		// Store plot
3320		TH1F* h = (TH1F*)heff->Clone(hname);
3321	+	h->SetNdivisions(505,"X");
3322		if ( icut) h->Draw("same");
3323		else h->Draw();
3324		char htitle[256]; sprintf(htitle,"JZB > %3.0f GeV", jzb_bins[icut]);
#	Line 2520 \| Line 3339 \| *void JZBSelEff(string mcjzb, TTree even**
3339		// Calls the above function for each signal sample
3340		void plot_jzb_sel_eff(string mcjzb, samplecollection &signalsamples, vector<float> bins )
3341		{
3342	<	for (int isignal=0; isignal<signalsamples.collection.size();isignal++) {
3342	>	for (int isignal=0; isignal<(int)signalsamples.collection.size();isignal++) {
3343		dout << "JZB selection efficiency curve: " << std::endl;
3344		JZBSelEff(mcjzb,(signalsamples.collection)[isignal].events,(signalsamples.collection)[isignal].samplename,bins); // Only for some selected samples
3345		}
#	Line 2563 \| Line 3382 \| void qcd_plots(string datajzb, string mc
3382		TH1F *RcorrJZBSBeemm;
3383		TH1F *LcorrJZBSBeemm;
3384
3385	<	TH1F *RcorrJZBeemmNoS;
3385	>	// TH1F *RcorrJZBeemmNoS;
3386
3387		//these are for the ratio
3388		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 3395 \| void qcd_plots(string datajzb, string mc
3395		TH1F *JRcorrJZBSBeemm;
3396		TH1F *JLcorrJZBSBeemm;
3397
3398	<	if(PlottingSetup::RestrictToMassPeak) {
3398	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
3399		RcorrJZBSBem = qcdsamples.Draw("RcorrJZBSBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
3400		LcorrJZBSBem = qcdsamples.Draw("LcorrJZBSBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
3401		RcorrJZBSBeemm = qcdsamples.Draw("RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
#	Line 2597 \| Line 3416 \| void qcd_plots(string datajzb, string mc
3416
3417		TH1F Bpred = (TH1F)LcorrJZBeemm->Clone("Bpred");
3418		TH1F JBpred = (TH1F)JLcorrJZBeemm->Clone("Bpred");
3419	<	if(PlottingSetup::RestrictToMassPeak) {
3419	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
3420		Bpred->Add(RcorrJZBem,1.0/3.);
3421		Bpred->Add(LcorrJZBem,-1.0/3.);
3422		Bpred->Add(RcorrJZBSBem,1.0/3.);
#	Line 2647 \| Line 3466 \| void qcd_plots(string datajzb, string mc
3466		//3rd last argument: do special bpred ratio, 2nd last argument: extended range!, last: y-axis title
3467		string ytitle("ratio");
3468		if ( use_data==1 ) ytitle = "data/pred";
3469	<	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,"QCD/Bpred",true,use_data!=1,ytitle);
3469	>	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,"QCD/Bpred",true,false,ytitle);
3470
3471		TH1F *allevents = qcdsamples.Draw("allevents","pfJetGoodNum",1,0,100, "internal code", "events", "" ,mc, luminosity);
3472		TH1F *ossf = qcdsamples.Draw("ossf","pfJetGoodNum",1,0,100, "internal code", "events", cutOSSF ,mc, luminosity);
#	Line 2667 \| Line 3486 \| void qcd_plots(string datajzb, string mc
3486		dout << "______________________________________________" << endl;
3487		dout << "How QCD shows up in the different regions: " << endl;
3488		dout << "OSSF: " << endl;
3489	<	if(PlottingSetup::RestrictToMassPeak) {
3489	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
3490		dout << " Z window: \t" << RcorrJZBeemm->Integral() << " (JZB>0) , " << LcorrJZBeemm->Integral() << " (JZB<0) --> total: " << RcorrJZBeemm->Integral() + LcorrJZBeemm->Integral() << endl;
3491		dout << " sideband: \t" << RcorrJZBSBeemm->Integral() << " (JZB>0) , " << LcorrJZBSBeemm->Integral() << " (JZB<0) --> total: " << RcorrJZBSBeemm->Integral() + LcorrJZBSBeemm->Integral() << endl;
3492		} else {
3493		dout << " " << RcorrJZBeemm->Integral() << " (JZB>0) , " << LcorrJZBeemm->Integral() << " (JZB<0) --> total: " << RcorrJZBeemm->Integral() + LcorrJZBeemm->Integral() << endl;
3494		}
3495		dout << "OSOF: " << endl;
3496	<	if(PlottingSetup::RestrictToMassPeak) {
3496	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
3497		dout << " Z window: \t" << RcorrJZBem->Integral() << " (JZB>0) , " << LcorrJZBem->Integral() << " (JZB<0) --> total: " << RcorrJZBem->Integral() + LcorrJZBem->Integral() << endl;
3498		dout << " sideband: \t" << RcorrJZBSBem->Integral() << " (JZB>0) , " << LcorrJZBSBem->Integral() << " (JZB<0) --> total: " << RcorrJZBSBem->Integral() + LcorrJZBSBem->Integral() << endl;
3499		} else {
3500		dout << " Z window: \t" << RcorrJZBem->Integral() << " (JZB>0) , " << LcorrJZBem->Integral() << " (JZB<0) --> total: " << RcorrJZBem->Integral() + LcorrJZBem->Integral() << endl;
3501		}
3502		dout << "Therefore: " << endl;
3503	<	if(PlottingSetup::RestrictToMassPeak) {
3503	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
3504		dout << " Prediction increases by : " << LcorrJZBeemm->Integral() << " + (1.0/3)*(" << RcorrJZBSBeemm->Integral() <<"-"<< LcorrJZBSBeemm->Integral() << ") (SFSB) ";
3505		dout << " + (1.0/3)*(" << RcorrJZBem->Integral() <<"-"<< LcorrJZBem->Integral() << ") (OFZP) ";
3506		dout << " + (1.0/3)*(" << RcorrJZBSBem->Integral() <<"-"<< LcorrJZBSBem->Integral() << ") (OFSB) ";
#	Line 2694 \| Line 3513 \| void qcd_plots(string datajzb, string mc
3513		dout << " Observation increases by : " << RcorrJZBeemm->Integral() << endl;
3514
3515		dout << endl;
3516	<	for(int i=0;i<bins.size();i++) {
3516	>	for(int i=0;i<(int)bins.size();i++) {
3517		dout << " JZB > " << bins[i] << " : " << endl;
3518		dout << " Observation increases by : " << RcorrJZBeemm->Integral(RcorrJZBeemm->FindBin(bins[i]),RcorrJZBeemm->GetNbinsX()) << endl;
3519	<	if(PlottingSetup::RestrictToMassPeak) {
3519	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
3520		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;
3521		} else {
3522		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 3530 \| void qcd_plots(string datajzb, string mc
3530		if(LcorrJZBem) delete LcorrJZBem;
3531		if(RcorrJZBeemm) delete RcorrJZBeemm;
3532		if(LcorrJZBeemm) delete LcorrJZBeemm;
3533	<	if(PlottingSetup::RestrictToMassPeak&&RcorrJZBSBem) delete RcorrJZBSBem;
3534	<	if(PlottingSetup::RestrictToMassPeak&&LcorrJZBSBem) delete LcorrJZBSBem;
3535	<	if(PlottingSetup::RestrictToMassPeak&&RcorrJZBSBeemm) delete RcorrJZBSBeemm;
3536	<	if(PlottingSetup::RestrictToMassPeak&&LcorrJZBSBeemm) delete LcorrJZBSBeemm;
3533	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB&&RcorrJZBSBem) delete RcorrJZBSBem;
3534	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB&&LcorrJZBSBem) delete LcorrJZBSBem;
3535	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB&&RcorrJZBSBeemm) delete RcorrJZBSBeemm;
3536	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB&&LcorrJZBSBeemm) delete LcorrJZBSBeemm;
3537	>	}
3538	>
3539	>	void check_ptsanity() {
3540	>	TCanvas *ptsancan = new TCanvas("ptsancan","ptsancan",600,1800);
3541	>	TH1F *individualpt1histos[allsamples.collection.size()];
3542	>	TH1F *individualpt2histos[allsamples.collection.size()];
3543	>	TH1F *fpt1 = new TH1F("fpt1","fpt1",50,0,50);
3544	>	fpt1->GetYaxis()->SetRangeUser(0,1);
3545	>	fpt1->GetXaxis()->SetTitle("p_{T,1}");
3546	>	fpt1->GetXaxis()->CenterTitle();
3547	>
3548	>	TH1F *fpt2 = new TH1F("fpt2","fpt2",50,0,50);
3549	>	fpt2->GetXaxis()->SetTitle("p_{T,2}");
3550	>	fpt2->GetXaxis()->CenterTitle();
3551	>
3552	>	ptsancan->Divide(1,3);
3553	>	ptsancan->cd(1);
3554	>	float maxpt1entry=0;
3555	>	float maxpt2entry=0;
3556	>
3557	>	TLegend *leg = make_legend();
3558	>	leg->SetX1(0.0);
3559	>	leg->SetY1(0.0);
3560	>	leg->SetX2(1.0);
3561	>	leg->SetY2(1.0);
3562	>
3563	>
3564	>	for(int isample=0;isample<(int)allsamples.collection.size();isample++) {
3565	>	string nowname=(allsamples.collection)[isample].filename;
3566	>	cout << "Drawing: " << nowname << " (sample " << isample+1 << " / " << allsamples.collection.size() << ")" << endl;
3567	>	individualpt1histos[isample] = allsamples.Draw(GetNumericHistoName(),"pt1",50,0,50, "p_{T,1}", "events",cutOSSF&&cutnJets,mc,luminosity,allsamples.FindSample(nowname));
3568	>	individualpt2histos[isample] = allsamples.Draw(GetNumericHistoName(),"pt2",50,0,50, "p_{T,2}", "events",cutOSSF&&cutnJets,mc,luminosity,allsamples.FindSample(nowname));
3569	>	individualpt1histos[isample]->SetLineColor(isample+1);
3570	>	individualpt2histos[isample]->SetLineColor(isample+1);
3571	>	float currmaxpt1entry=individualpt1histos[isample]->GetMaximum()/individualpt1histos[isample]->Integral();
3572	>	float currmaxpt2entry=individualpt2histos[isample]->GetMaximum()/individualpt2histos[isample]->Integral();
3573	>	cout << " pt 1 histo contains; " << individualpt1histos[isample]->Integral() << endl;
3574	>	cout << " pt 2 histo contains; " << individualpt2histos[isample]->Integral() << endl;
3575	>	if(currmaxpt1entry>maxpt1entry)maxpt1entry=currmaxpt1entry;
3576	>	if(currmaxpt2entry>maxpt2entry)maxpt2entry=currmaxpt2entry;
3577	>	leg->AddEntry(individualpt2histos[isample],((allsamples.collection)[isample].filename).c_str(),"f");
3578	>	}
3579	>
3580	>	fpt1->GetYaxis()->SetRangeUser(0,maxpt1entry);
3581	>	fpt2->GetYaxis()->SetRangeUser(0,maxpt2entry);
3582	>
3583	>	ptsancan->cd(1);
3584	>	fpt1->Draw();
3585	>	ptsancan->cd(2);
3586	>	fpt2->Draw();
3587	>
3588	>	for(int isample=0;isample<(int)allsamples.collection.size();isample++) {
3589	>	ptsancan->cd(1);
3590	>	individualpt1histos[isample]->DrawNormalized("same,histo");
3591	>	ptsancan->cd(2);
3592	>	individualpt2histos[isample]->DrawNormalized("same,histo");
3593	>	}
3594	>	ptsancan->cd(3);
3595	>	leg->Draw();
3596	>	CompleteSave(ptsancan,"PtSanityCheck");
3597	>
3598	>	delete ptsancan;
3599		}
3600
3601	+	void do_mlls_plot(string mcjzb) {
3602	+	cout << "At this point we'd plot the mll distribution" << endl;
3603	+	TCanvas *sigcan = new TCanvas("sigcan","sigcan");
3604	+	for(int isig=0;isig<(int)(signalsamples.collection).size();isig++) {
3605	+	if(!(signalsamples.collection)[isig].events) continue;
3606	+	string nowname=(signalsamples.collection)[isig].filename;
3607	+	TH1F *mll = signalsamples.Draw("mllhisto","mll",150,0,150, "m_{ll}", "events",cutOSSF&&cutnJets,mc,luminosity,signalsamples.FindSample(nowname));
3608	+	// TH1F *mll = signalsamples.Draw("mllhisto","mll",150,0,150, "m_{ll}", "events","",mc,luminosity,signalsamples.FindSample(nowname));
3609	+	mll->SetLineColor(TColor::GetColor("#04B404"));
3610	+	stringstream poscutS;
3611	+	poscutS << "((" << mcjzb <<")>50)";
3612	+	TCut poscut(poscutS.str().c_str());
3613	+	TH1F *mllP = signalsamples.Draw("mllhistoP","mll",150,0,150, "m_{ll}", "events",cutOSSF&&cutnJets&&poscut,mc,luminosity,signalsamples.FindSample(nowname));
3614	+	mllP->SetLineColor(TColor::GetColor("#0040FF"));
3615	+	mll->Draw("histo");
3616	+	mllP->Draw("histo,same");
3617	+	TLegend *leg = make_legend();
3618	+	leg->SetY1(0.8);
3619	+	leg->AddEntry(mll,(signalsamples.collection)[isig].samplename.c_str(),"L");
3620	+	leg->AddEntry(mllP,((signalsamples.collection)[isig].samplename+", JZB>50").c_str(),"L");
3621	+	leg->Draw();
3622	+	TLine *lin = new TLine(71.2,0,71.2,mll->GetMaximum());
3623	+	TLine *lin2 = new TLine(111.2,0,111.2,mll->GetMaximum());
3624	+	lin->Draw("same");
3625	+	lin2->Draw("same");
3626	+
3627	+	CompleteSave(sigcan,"MllShape/"+(signalsamples.collection)[isig].samplename);
3628	+	delete mll;
3629	+	delete mllP;
3630	+	}
3631	+	}
3632	+
3633	+	void met_vs_jzb_plots(string datajzb, string mcjzb) {
3634	+
3635	+	TCanvas *canmetjzb = new TCanvas("canmet","MET vs JZB canvas");
3636	+	canmetjzb->SetRightMargin(0.16);
3637	+
3638	+	vector<string> findme;
3639	+	findme.push_back("DY");
3640	+	findme.push_back("TTJets");
3641	+	findme.push_back("LM");
3642	+	/*
3643	+	for(int ifind=0;ifind<(int)findme.size();ifind++) {
3644	+	vector<int> selsamples = allsamples.FindSample(findme[ifind]);
3645	+	TH2F *metvsjzb = new TH2F("metvsjzb","metvsjzb",200,0,100,400,-100,100);
3646	+	for(int isel=0;isel<(int)selsamples.size();isel++) {
3647	+	dout << "Producing MET:JZB plot ... working on sample: " << allsamples.collection[selsamples[isel]].filename << endl;
3648	+	allsamples.collection[selsamples[isel]].events->Draw("jzb[1]:met[4]>>+metvsjzb",cutmass&&cutOSSF&&cutnJets);
3649	+	}
3650	+	metvsjzb->Scale(allsamples.collection[selsamples[0]].weight);
3651	+	metvsjzb->SetStats(0);
3652	+	metvsjzb->GetXaxis()->SetTitle("MET (GeV)");
3653	+	metvsjzb->GetYaxis()->SetTitle("JZB (GeV)");
3654	+	metvsjzb->GetXaxis()->CenterTitle();
3655	+	metvsjzb->GetYaxis()->CenterTitle();
3656	+	metvsjzb->Draw("COLZ");
3657	+	TText* title = write_text(0.5,0.95,allsamples.collection[selsamples[0]].samplename);
3658	+	title->SetTextAlign(12);
3659	+	title->Draw();
3660	+	CompleteSave(canmetjzb,(string)"METvsJZBplots/"+findme[ifind]);
3661	+	}
3662	+	*/
3663	+
3664	+	dout << "About to produce MET plot for DY split up by JZB" << endl;
3665	+
3666	+	int nbins=14;
3667	+	float low=0;
3668	+	float high=140;
3669	+
3670	+	stringstream sLEFT;
3671	+	sLEFT << "((" << mcjzb << ")<0)";
3672	+	TCut LEFT(sLEFT.str().c_str());
3673	+	stringstream sRIGHT;
3674	+	sRIGHT << "((" << mcjzb << ")>0)";
3675	+	TCut RIGHT(sRIGHT.str().c_str());
3676	+
3677	+	TH1F *metleft = allsamples.Draw("metleft","met[4]",nbins,low,high, "MET [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&LEFT,mc, luminosity, allsamples.FindSample("DYJets"));
3678	+	TH1F *metleftO = allsamples.Draw("metleftO","met[4]",nbins,low,high, "MET [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&LEFT,mc, luminosity, allsamples.FindSample("DYJets"));
3679	+	TH1F *metright = allsamples.Draw("metright","met[4]",nbins,low,high, "MET [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&RIGHT,mc, luminosity, allsamples.FindSample("DYJets"));
3680	+	TH1F *metrightO = allsamples.Draw("metrightO","met[4]",nbins,low,high, "MET [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&RIGHT,mc, luminosity, allsamples.FindSample("DYJets"));
3681	+
3682	+
3683	+	TH1F Bpred = (TH1F)metleft->Clone("Bpred");
3684	+	Bpred->Add(metleftO,-1);
3685	+	Bpred->Add(metrightO);
3686	+	TH1F obs = (TH1F)metright->Clone("obs");
3687	+
3688	+	metleft->Add(metleftO,-1);
3689	+	metright->Add(metrightO,-1);
3690	+
3691	+	metleft->SetLineColor(kRed);
3692	+	metright->SetLineColor(kBlack);
3693	+	TPad *metpad = new TPad("metpad","metpad",0,0,1,1);
3694	+	metpad->cd();
3695	+	metpad->SetLogy(1);
3696	+	metleft->Draw("histo");
3697	+	metright->Draw("same");
3698	+	TLegend *lg = make_legend();
3699	+	lg->SetX1(0.5);
3700	+	lg->SetY1(0.7);
3701	+	lg->AddEntry(metright,"JZB>0 (OSOF corrected)","P");
3702	+	lg->AddEntry(metleft,"JZB<0 (OSOF corrected)","L");
3703	+	lg->SetHeader("DY");
3704	+
3705	+	lg->Draw();
3706	+	save_with_ratio(metright,metleft,metpad->cd(),"METvsJZBplots/ComparingLeftToRightinMETspectrum");
3707	+
3708	+	TPad *metpad3 = new TPad("metpad3","metpad3",0,0,1,1);
3709	+	metpad3->cd();
3710	+	metpad3->SetLogy(1);
3711	+	Bpred->SetLineColor(kRed);
3712	+	Bpred->Draw("histo");
3713	+	obs->SetLineColor(kBlack);
3714	+	obs->Draw("same");
3715	+	TLegend *lg2 = make_legend();
3716	+	lg2->SetX1(0.5);
3717	+	lg2->SetY1(0.7);
3718	+	lg2->AddEntry(obs,"observed","P");
3719	+	lg2->AddEntry(Bpred,"predicted","L");
3720	+	lg2->SetHeader("DY");
3721	+
3722	+	lg2->Draw();
3723	+
3724	+	save_with_ratio(obs,Bpred,metpad3->cd(),"METvsJZBplots/ComparingPredObsinMET");
3725	+
3726	+	TPad *metpad2 = new TPad("metpad2","metpad2",0,0,1,1);
3727	+	metpad2->cd();
3728	+	metpad2->SetLogy(1);
3729	+
3730	+	TH1F *metlefta = allsamples.Draw("metlefta","met[2]",nbins,low,high, "MET [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&LEFT,mc, luminosity, allsamples.FindSample("DYJets"));
3731	+	TH1F *metleftOa = allsamples.Draw("metleftOa","met[2]",nbins,low,high, "MET [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&LEFT,mc, luminosity, allsamples.FindSample("DYJets"));
3732	+	TH1F *metrighta = allsamples.Draw("metrighta","met[2]",nbins,low,high, "MET [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&RIGHT,mc, luminosity, allsamples.FindSample("DYJets"));
3733	+	TH1F *metrightOa = allsamples.Draw("metrightOa","met[2]",nbins,low,high, "MET [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&RIGHT,mc, luminosity, allsamples.FindSample("DYJets"));
3734	+
3735	+	metlefta->Add(metleftOa,-1);
3736	+	metrighta->Add(metrightOa,-1);
3737	+
3738	+	metlefta->SetLineColor(kRed);
3739	+	metpad2->cd();
3740	+	metlefta->Draw("histo");
3741	+	metrighta->Draw("same");
3742	+	lg->Draw();
3743	+	save_with_ratio(metrighta,metlefta,metpad2->cd(),"METvsJZBplots/ComparingLeftToRightinMET_type1_spectrum");
3744	+
3745	+	delete Bpred;
3746	+	delete obs;
3747	+
3748	+	float newhigh=300;
3749	+	int newNBins=30;
3750	+
3751	+	TPad *metpad4 = new TPad("metpad4","metpad4",0,0,1,1);
3752	+	TH1F *Ametleft = allsamples.Draw("Ametleft","met[4]",newNBins,low,newhigh, "MET [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&LEFT,mc, luminosity);
3753	+	TH1F *AmetleftO = allsamples.Draw("AmetleftO","met[4]",newNBins,low,newhigh, "MET [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&LEFT,mc, luminosity);
3754	+	TH1F *Ametright = allsamples.Draw("Ametright","met[4]",newNBins,low,newhigh, "MET [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&RIGHT,mc, luminosity);
3755	+	TH1F *AmetrightO = allsamples.Draw("AmetrightO","met[4]",newNBins,low,newhigh, "MET [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&RIGHT,mc, luminosity);
3756	+
3757	+	TH1F aBpred = (TH1F)Ametleft->Clone("aBpred");
3758	+	aBpred->Add(AmetleftO,-1);
3759	+	aBpred->Add(AmetrightO);
3760	+	aBpred->SetLineColor(kRed);
3761	+
3762	+	TH1F aobs = (TH1F)Ametright->Clone("aobs");
3763	+	metpad4->cd();
3764	+	metpad4->SetLogy(1);
3765	+	aobs->Draw();
3766	+	aBpred->Draw("histo,same");
3767	+	aobs->Draw("same");
3768	+	lg->SetHeader("All MC");
3769	+	lg->Draw();
3770	+	save_with_ratio(aobs,aBpred,metpad4->cd(),"METvsJZBplots/ComparingPredObsinMET_ALLSAMPLES");
3771	+
3772	+
3773	+	delete lg;
3774	+	delete canmetjzb;
3775	+	delete metleft;
3776	+	delete metleftO;
3777	+	delete metright;
3778	+	delete metrightO;
3779	+	}
3780	+
3781	+
3782		void test() {
3783
3784		TCanvas *testcanv = new TCanvas("testcanv","testcanv");
3785		testcanv->cd();
3786	<	switch_overunderflow(true);
3786	>	// switch_overunderflow(true);
3787		TH1F *ptdistr = allsamples.Draw("ptdistr","pt1",100,30,200, "p_{T} [GeV]", "events", cutOSSF,data,luminosity);
3788		switch_overunderflow(false);
3789		ptdistr->Draw();

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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 1.67 by buchmann, Fri Sep 14 10:18:31 2012 UTC

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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 1.67 by buchmann, Fri Sep 14 10:18:31 2012 UTC