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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 1.57 by buchmann, Thu Sep 6 10:19:18 2012 UTC

#	Line 23 | Line 23 | using namespace PlottingSetup;
23		void todo() {
24		dout << "My to do list: " << endl;
25		dout << "  - ExperimentalModule::Poisson_ratio_plot : Get the second part to work!" << endl;
26	+	dout << "  - compare_onpeak_offpeak_signal_distributions: Implement this function ... " << endl;
27		dout << "Info : The trigger requirement is currently set to " << (const char*) passtrig << endl;
28	+	dout << "Info : The pt requirement is currently set to " << (const char*) passtrig << endl;
29	+	dout << "Info : The mll requirement is currently set to " << (const char*) cutmass << endl;
30	+	dout << "Info : The lepton requirement is currently set to " << (const char*) leptoncut << endl;
31	+	dout << "Info : The weight applied to all MC is " << (const char*) cutWeight << endl;
32		}
33
34	<	void find_peaks(float &MCPeak,float &MCPeakError, float &DataPeak, float &DataPeakError, float &MCSigma, float &DataSigma, stringstream &result, bool doPUreweighting = true )
34	>
35	>
36	>	void find_one_peak_combination(TCut specialcut, bool SwitchOffNJetsCut, float &MCPeak,float &MCPeakError, float &DataPeak, float &DataPeakError, float &MCSigma, float &MCSigmaError, float &DataSigma, float& DataSigmaError, stringstream &result, bool doPUreweighting = true, string saveas="")
37		{
38		// Temporarily switch off PU reweighting, if asked
39		TCut weightbackup=cutWeight;
40		if ( !doPUreweighting ) cutWeight="1.0";
41	<
41	>
42	>	int nbins=100;
43	>	if(PlottingSetup::DoBTag) nbins=25;
44	>
45	>	TCut nJetsCut(cutnJets);
46	>	if(SwitchOffNJetsCut) nJetsCut=specialcut;
47	>
48		TCanvas *tempcan = new TCanvas("tempcan","Temporary canvas for peak finding preparations");
49	<	TH1F *rawJZBeemmMC      = allsamples.Draw("rawJZBeemmMC",jzbvariablemc,100,-50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,mc, luminosity);
50	<	TH1F *rawJZBeemmData    = allsamples.Draw("rawJZBeemmData",jzbvariabledata,100, -50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,data, luminosity);
51	<	TH1F *rawJZBemMC      = allsamples.Draw("rawJZBemMC",jzbvariablemc,100,-50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,mc, luminosity);
52	<	TH1F *rawJZBemData    = allsamples.Draw("rawJZBemData",jzbvariabledata,100, -50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,data, luminosity);
49	>	TH1F *rawJZBeemmMC      = allsamples.Draw("rawJZBeemmMC",jzbvariablemc,nbins,-50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&nJetsCut&&specialcut,mc, luminosity);
50	>	TH1F *rawJZBeemmData    = allsamples.Draw("rawJZBeemmData",jzbvariabledata,nbins, -50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&nJetsCut&&specialcut,data, luminosity);
51	>	TH1F *rawJZBemMC      = allsamples.Draw("rawJZBemMC",jzbvariablemc,nbins,-50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&nJetsCut&&specialcut,mc, luminosity);
52	>	TH1F *rawJZBemData    = allsamples.Draw("rawJZBemData",jzbvariabledata,nbins, -50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&nJetsCut&&specialcut,data, luminosity);
53		TH1F *rawttbarjzbeemmMC;
54
55		if(method==doKM) {
56		//we only need this histo for the KM fitting...
57	<	rawttbarjzbeemmMC = allsamples.Draw("rawttbarjzbeemmMC",jzbvariablemc,100, -50,50, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,luminosity,allsamples.FindSample("TTJet"));
58	<	MCPeak=find_peak(rawJZBeemmMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method);
59	<	DataPeak=find_peak(rawJZBeemmData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method);
57	>	rawttbarjzbeemmMC = allsamples.Draw("rawttbarjzbeemmMC",jzbvariablemc,nbins, -50,50, "JZB [GeV]", "events",cutmass&&cutOSSF&&nJetsCut&&specialcut,mc,luminosity,allsamples.FindSample("TTJet"));
58	>	MCPeak=find_peak(rawJZBeemmMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,MCSigmaError,method,saveas);
59	>	DataPeak=find_peak(rawJZBeemmData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,DataSigmaError,method,saveas);
60	>	delete rawttbarjzbeemmMC;
61		}
62		else {
63		TH1F *reducedMC = (TH1F*)rawJZBeemmMC->Clone();
#	Line 51 | Line 65 | void find_peaks(float &MCPeak,float &MCP
65		reducedMC->Add(rawJZBemMC,-1);
66		reducedData->Add(rawJZBemData,-1);
67		//this is Kostas' way of doing it - we subtract em to get rid of some of the ttbar contribution (in reality, of flavor-symmetric contribution)
68	<	MCPeak=find_peak(reducedMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method);
69	<	DataPeak=find_peak(reducedData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method);
70	<
68	>	MCPeak=find_peak(reducedMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,MCSigmaError,method,saveas);
69	>	DataPeak=find_peak(reducedData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,DataSigmaError,method,saveas);
70	>	delete reducedMC;
71	>	delete reducedData;
72		}
73
74		// Revert to original PU reweighting
#	Line 61 | Line 76 | void find_peaks(float &MCPeak,float &MCP
76
77		//  MCPeak=find_peak(rawJZBeemmMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method);
78		//  DataPeak=find_peak(rawJZBeemmData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method);
79	<	dout << "We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
80	<	result << "We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
81	<	dout << "We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
82	<	result << "We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
79	>	dout   << "   We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- " << DataSigmaError << endl;
80	>	result << "   We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- " << DataSigmaError << endl;
81	>	dout   << "   We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- " << MCSigmaError << endl;
82	>	result << "   We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- " << MCSigmaError << endl;
83	>	delete rawJZBeemmData;
84	>	delete rawJZBeemmMC;
85	>	delete rawJZBemData;
86	>	delete rawJZBemMC;
87		delete tempcan;
88		}
89
90	+	void find_peaks(float &MCPeak,float &MCPeakError, float &DataPeak, float &DataPeakError, stringstream &result, bool doPUreweighting, stringstream &datajzb, stringstream &mcjzb, string sSpecialCut="", bool SwitchOffNJetsCut=false)
91	+	{
92	+	switch_overunderflow(false);
93	+
94	+	TCut SpecialCut("mll>=0");
95	+	if(sSpecialCut!="") SpecialCut=TCut(sSpecialCut.c_str());
96	+
97	+	bool DoInvidualeemmPeaks=false;
98	+
99	+	float mcpeak, datapeak;
100	+	float mcpeakerr, datapeakerr;
101	+
102	+	float mceepeak,mcmmpeak;
103	+	float mceepeakerr,mcmmpeakerr;
104	+
105	+	float datammpeak,dataeepeak;
106	+	float datammpeakerr,dataeepeakerr;
107	+
108	+	float mcSigma,mcSigmaError, dataSigma, dataSigmaError;
109	+
110	+	dout << "Finding global peak : " << endl;
111	+	find_one_peak_combination(SpecialCut,SwitchOffNJetsCut,mcpeak,mcpeakerr, datapeak,datapeakerr,mcSigma,mcSigmaError, dataSigma,dataSigmaError,result,doPUreweighting,"");
112	+
113	+	if(DoInvidualeemmPeaks) {
114	+	dout << "Finding peak for electrons : " << endl;
115	+	find_one_peak_combination(SpecialCut&&TCut("id1==0"),SwitchOffNJetsCut,mceepeak,mceepeakerr,dataeepeak,dataeepeakerr,mcSigma,mcSigmaError,dataSigma,dataSigmaError,result,doPUreweighting,"_ele");
116	+	dout << "Finding peak for muons : " << endl;
117	+	find_one_peak_combination(SpecialCut&&TCut("id1==1"),SwitchOffNJetsCut,mcmmpeak,mcmmpeakerr,datammpeak,datammpeakerr,mcSigma,mcSigmaError,dataSigma,dataSigmaError,result,doPUreweighting,"_mu");
118	+
119	+	datajzb << "(" << jzbvariabledata;
120	+	mcjzb << "(" << jzbvariablemc;
121	+
122	+	if(dataeepeak>0) datajzb << "- (id1==id2)*(id1==0)*" << TMath::Abs(dataeepeak) << " ";
123	+	else datajzb << "+ (id1==id2)*(id1==0)*" << TMath::Abs(dataeepeak) << " ";
124	+
125	+	if(datammpeak>0) datajzb << "- (id1==id2)*(id1==1)*" << TMath::Abs(datammpeak) << " ";
126	+	else datajzb << "+ (id1==id2)*(id1==1)*" << TMath::Abs(datammpeak) << " ";
127	+
128	+	if(datapeak>0) datajzb << "- (id1!=id2)*" << TMath::Abs(datapeak) << " ";
129	+	else datajzb << "+ (id1!=id2)*" << TMath::Abs(datapeak) << " ";
130	+
131	+	datajzb << ")";
132	+
133	+	if(mceepeak>0) mcjzb << "- (id1==id2)*(id1==0)*" << TMath::Abs(mceepeak) << " ";
134	+	else mcjzb << "+ (id1==id2)*(id1==0)*" << TMath::Abs(mceepeak) << " ";
135	+
136	+	if(mcmmpeak>0) mcjzb << "- (id1==id2)*(id1==1)*" << TMath::Abs(mcmmpeak) << " ";
137	+	else mcjzb << "+ (id1==id2)*(id1==1)*" << TMath::Abs(mcmmpeak) << " ";
138	+
139	+	if(mcpeak>0) mcjzb << "- (id1!=id2)*" << TMath::Abs(mcpeak) << " ";
140	+	else mcjzb << "+ (id1!=id2)*" << TMath::Abs(mcpeak) << " ";
141	+
142	+	mcjzb << ")";
143	+
144	+	} else {
145	+	datajzb << "(" << jzbvariabledata;
146	+	mcjzb << "(" << jzbvariablemc;
147	+
148	+	if(datapeak>0) datajzb << "- " << TMath::Abs(datapeak) << " ";
149	+	else datajzb << "+ " << TMath::Abs(datapeak) << " ";
150	+
151	+	datajzb << ")";
152	+
153	+	if(mcpeak>0) mcjzb << "- " << TMath::Abs(mcpeak) << " ";
154	+	else mcjzb << "+ " << TMath::Abs(mcpeak) << " ";
155	+
156	+	mcjzb << ")";
157	+	}
158	+
159	+	MCPeak=mcpeak;
160	+	MCPeakError=mcpeakerr;
161	+	DataPeak=datapeak;
162	+	DataPeakError=datapeakerr;
163	+
164	+	switch_overunderflow(true);
165	+
166	+	}
167	+
168	+	void make_special_obs_pred_mll_plot(string datajzb, string mcjzb, float jzbthreshold, float binWidth = 5.0) {
169	+	float min=70.0;
170	+	float max=115.0;
171	+	if(!PlottingSetup::RestrictToMassPeak) {
172	+	min=20;
173	+	max=300;
174	+	}
175	+	int nbins=int((max-min)/binWidth);
176	+
177	+	TCanvas *ckin = new TCanvas("ckin","Kinematic Plots (in the making)",600,600);
178	+
179	+	stringstream largerzeroS;
180	+	largerzeroS << "(" << datajzb << ">" << jzbthreshold << ")";
181	+	TCut largerzeroD(largerzeroS.str().c_str());
182	+
183	+	stringstream smallerzeroS;
184	+	smallerzeroS << "(" << datajzb << "<-" << jzbthreshold << ")";
185	+	TCut smallerzeroD(smallerzeroS.str().c_str());
186	+
187	+
188	+	stringstream largerzeroMS;
189	+	largerzeroMS << "(" << mcjzb << ">" << jzbthreshold << ")";
190	+	TCut largerzeroM(largerzeroMS.str().c_str());
191	+
192	+	TH1F *RcorrJZBeemm     = allsamples.Draw("RcorrJZBeemm",       "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzeroD,data,luminosity);
193	+	THStack mcRcorrJZBeemm = allsamples.DrawStack("mcRcorrJZBeemm","mll",nbins,min,max, "m_{ll} [GeV}", "events", cutmass&&cutOSSF&&cutnJets&&largerzeroM,mc,luminosity);
194	+	TH1F *LcorrJZBeemm     = allsamples.Draw("LcorrJZBeemm",       "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&smallerzeroD,data,luminosity);
195	+	TH1F *RcorrJZBem       = allsamples.Draw("RcorrJZBem",         "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&largerzeroD,data,luminosity);
196	+	TH1F *LcorrJZBem       = allsamples.Draw("LcorrJZBem",         "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&smallerzeroD,data,luminosity);
197	+
198	+	TH1F *RcorrJZBSBem;
199	+	TH1F *LcorrJZBSBem;
200	+	TH1F *RcorrJZBSBeemm;
201	+	TH1F *LcorrJZBSBeemm;
202	+
203	+	//  TH1F *RcorrJZBeemmNoS;
204	+
205	+	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
206	+	RcorrJZBSBem   = allsamples.Draw("RcorrJZBSBem",  "mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&largerzeroD,data, luminosity);
207	+	LcorrJZBSBem   = allsamples.Draw("LcorrJZBSBem",  "mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&smallerzeroD,data, luminosity);
208	+	RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm","mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&largerzeroD,data, luminosity);
209	+	LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm","mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&smallerzeroD,data, luminosity);
210	+	}
211	+
212	+	// Separate predictions
213	+	TH1F* SFN = (TH1F*)LcorrJZBeemm->Clone("SFN");
214	+	TH1F* OFP = (TH1F*)RcorrJZBem->Clone("OFP");
215	+	TH1F* OFN = (TH1F*)LcorrJZBem->Clone("OFN");
216	+	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
217	+	OFP->Scale(1.0/3.0);
218	+	OFP->Add(RcorrJZBSBem,1.0/3.);
219	+	OFP->Add(RcorrJZBSBeemm,1.0/3.);
220	+	OFN->Scale(1.0/3.0);
221	+	OFN->Add(LcorrJZBSBem,1.0/3.);
222	+	OFN->Add(LcorrJZBSBeemm,1.0/3.);
223	+	}
224	+
225	+	TH1F* Bpred = (TH1F*)SFN->Clone("Bpred");
226	+	Bpred->Add(OFP);
227	+	Bpred->Add(OFN,-1);
228	+	Bpred->SetLineColor(kRed);
229	+
230	+	RcorrJZBeemm->SetTitleOffset(1.3,"y");
231	+	RcorrJZBeemm->Draw();
232	+	mcRcorrJZBeemm.Draw("same");
233	+	Bpred->Draw("histo,same");
234	+	RcorrJZBeemm->Draw("same");
235	+
236	+	TLegend *leg = allsamples.allbglegend();
237	+	leg->SetX1(0.58);
238	+	leg->AddEntry(RcorrJZBeemm,"observed (data)","l");
239	+	leg->AddEntry(Bpred,"predicted (data)","l");
240	+	leg->Draw("same");
241	+
242	+	stringstream saveas;
243	+	saveas << "kin/Mll_After_Cut/Cut_At" << jzbthreshold;
244	+	CompleteSave(ckin,saveas.str());
245	+
246	+	// Draw all predictions overlayed
247	+	unsigned int w = gStyle->GetHistLineWidth()+1; // Make line a bit wider, since we dash it
248	+	SFN->SetLineColor(kGreen+2);
249	+	SFN->SetLineStyle(2);
250	+	SFN->SetLineWidth(w);
251	+	OFP->SetLineColor(kBlue+2);
252	+	OFP->SetLineStyle(2);
253	+	OFP->SetLineWidth(w);
254	+	OFN->SetLineColor(kMagenta+2);
255	+	OFN->SetLineStyle(3);
256	+	OFN->SetLineWidth(w);
257	+
258	+	RcorrJZBeemm->Draw();
259	+	SFN->Draw("histo,same");
260	+	OFP->Draw("histo,same");
261	+	OFN->Draw("histo,same");
262	+	Bpred->Draw("histo,same");
263	+	RcorrJZBeemm->Draw("same");
264	+
265	+	TLegend *leg2 = make_legend("",0.52,0.7);
266	+	leg2->AddEntry(RcorrJZBeemm,"observed (data)","lp");
267	+	leg2->AddEntry(Bpred,"predicted (data)","l");
268	+	leg2->AddEntry(SFN,  "  SF JZB<0","l");
269	+	leg2->AddEntry(OFN,  "  OF JZB<0","l");
270	+	leg2->AddEntry(OFP,  "  OF JZB>0","l");
271	+	leg2->Draw("same");
272	+
273	+	saveas.str("");
274	+	saveas << "kin/Mll_After_Cut/Cut_At" << jzbthreshold << "_nomc";
275	+	CompleteSave(ckin,saveas.str());
276	+
277	+	delete RcorrJZBeemm;
278	+	delete LcorrJZBeemm;
279	+	delete RcorrJZBem;
280	+	delete LcorrJZBem;
281	+	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
282	+	delete RcorrJZBSBeemm;
283	+	delete LcorrJZBSBeemm;
284	+	delete RcorrJZBSBem;
285	+	delete LcorrJZBSBem;
286	+	}
287	+	delete Bpred;
288	+	delete ckin;
289	+	}
290	+
291		void make_special_mll_plot(int nbins, float min, float max, bool logscale,string xlabel) {
292
293		TCanvas *ckin = new TCanvas("ckin","Kinematic Plots (in the making)",600,600);
#	Line 102 | Line 322 | void make_special_mll_plot(int nbins, fl
322		TIter next(bgleg->GetListOfPrimitives());
323		TObject* obj;
324		// Copy the nice bkgd legend skipping the "data"
325	<	while ( obj = next() )
325	>	while ( (obj = next()) )
326		if ( strcmp(((TLegendEntry*)obj)->GetObject()->GetName(),"datahistoOSSF") )
327		kinleg->GetListOfPrimitives()->Add(obj);
328
#	Line 121 | Line 341 | void draw_ratio_plot(TH1* hdata, THStack
341		TIter next(hmc.GetHists());
342		TObject* obj;
343		TH1* hratio = NULL;
344	<	while ( obj = next() ) {
344	>	while ( (obj = next()) ) {
345		if ( !hratio ) {
346		hratio = (TH1*)obj->Clone();
347		hratio->SetName("hratio");
#	Line 152 | Line 372 | void draw_ratio_plot(TH1* hdata, THStack
372		oneline->Draw("same");
373		}
374
375	+	float make_one_OFSF_plot(string variable, string addcut, string legendTitle, int nbins, float min, float max, float ymax, bool logscale,
376	+	string xlabel, string filename, bool plotratio=true, bool loadlastminmax=false, float legendPosition=0.55) {
377	+
378	+	TCut ibasiccut=basiccut;
379	+	bool draw_separation_lines=false;
380	+
381	+	if(addcut != "") ibasiccut = ibasiccut && addcut.c_str();
382	+
383	+	TCut cutSF;
384	+	TCut cutOF;
385	+
386	+	cutOF = cutOSOF&&cutnJets&&ibasiccut;
387	+	cutSF = cutOSSF&&cutnJets&&ibasiccut;
388	+
389	+	TCanvas *ckin = new TCanvas("ckin","Kinematic Plots (in the making)",600,600);
390	+	TPad* rcan = new TPad("rcan","rcan",0,0,1,1);
391	+	rcan->SetLogy(logscale);
392	+	rcan->cd();
393	+
394	+	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) save_with_ratio( datahistoSF, datahistoOF, rcan, "SFOF/" + filename, false, false, "SF/OF" );
440	+	else CompleteSave(ckin, "SFOF/" + filename);
441	+
442	+	datahistoSF->Delete();
443	+	datahistoOF->Delete();
444	+	signalhisto->Delete();
445	+	delete mleg;
446	+	delete ckin;
447	+
448	+	return ymaxSet;
449	+
450	+	}
451	+
452	+	// Compare data to data
453	+	float make_data_comparison_plot(string variable, TCut cut, int nbins, float min, float max, float ymax, bool logscale,
454	+	string xlabel, string filename, float legendPosition=0.55) {
455	+
456	+	TCut ibasiccut=basiccut&&cut;
457	+
458	+	TCanvas *ckin = new TCanvas("ckin","Kinematic Plots (in the making)",600,600);
459	+	TPad* rcan = new TPad("rcan","rcan",0,0,1,1);
460	+	rcan->SetLogy(logscale);
461	+	rcan->cd();
462	+
463	+	std::cout << "Data comparison: variable = " << variable << ", cut = " << ibasiccut.GetTitle() << std::endl;
464	+
465	+	TH1F *data1 = allsamples.Draw("data1",variable,nbins,min,max, xlabel, "events",ibasiccut,data,luminosity);
466	+	TH1F *data2 = comparesamples.Draw("data2",variable,nbins,min,max, xlabel, "events",ibasiccut,data,luminosity);
467	+
468	+	data1->SetMarkerSize(DataMarkerSize);
469	+	data2->SetLineColor(kRed);
470	+
471	+	if ( !logscale ) {
472	+	data1->SetMinimum(0); // Defaults
473	+	} else {
474	+	data1->SetMinimum(0.5);
475	+	}
476	+	if (ymax<0) {
477	+	if ( logscale ) data1->SetMaximum(5.3*data1->GetMaximum());
478	+	else data1->SetMaximum(1.5*data1->GetMaximum());
479	+	} else {
480	+	data1->SetMaximum(ymax);
481	+	}
482	+
483	+	float ymaxSet = data1->GetMaximum();
484	+
485	+	data1->GetXaxis()->SetTitle(xlabel.c_str());
486	+	data1->GetYaxis()->SetTitle("Events");
487	+	data1->GetXaxis()->CenterTitle();
488	+	data1->GetYaxis()->CenterTitle();
489	+
490	+	TLegend *mleg = make_legend("",legendPosition,0.7,false,legendPosition+0.2);
491	+	mleg->AddEntry(data1, "Old 5/fb", "PL");
492	+	mleg->AddEntry(data2, "New x/fb", "L");
493	+
494	+	data1->Draw("E1");
495	+	data2->Draw("HIST,SAMES");
496	+	mleg->Draw();
497	+	DrawPrelim();
498	+	save_with_ratio( data1, data2, rcan, "compareData/" + filename, false, false, "old/new" );
499	+
500	+	data1->Delete();
501	+	data2->Delete();
502	+	delete mleg;
503	+	delete ckin;
504	+
505	+	}
506	+
507	+	void make_OFSF_plots(string variable, string addcut, int nbins, float min, float max, bool logscale,
508	+	string xlabel, string filename, float legendPosition=0.55) {
509	+
510	+	string mllcuts[] = { "mll>20","mll>20&&mll<70", "mll>75&&mll<105", "mll>120" };
511	+	string mllcutname[] = { "m_{ll} > 20 GeV", "20 < m_{ll} < 70 GeV", "75 < m_{ll} < 105 GeV", "m_{ll} > 120 GeV" };
512	+	string plotname[] = {"_all","_low","_peak","_high"};
513	+	float ymax;
514	+
515	+	int start = 0;
516	+	if ( !PlottingSetup::openBox ) start = 3;
517	+
518	+	for ( int i=start; i<4; ++i ) {
519	+	if ( addcut != "" ) mllcuts[i] += "&&"+addcut;
520	+	if ( i==start ) {
521	+	ymax = make_one_OFSF_plot(variable, mllcuts[i],            mllcutname[i], nbins, min, max, -1, logscale, xlabel,
522	+	filename+plotname[i], legendPosition );
523	+	} else {
524	+	make_one_OFSF_plot(variable, mllcuts[i],            mllcutname[i], nbins, min, max, ymax, logscale, xlabel,
525	+	filename+plotname[i], legendPosition );
526	+	}
527	+	make_one_OFSF_plot(variable, "id1==1&&id1==id2&&"+mllcuts[i], mllcutname[i], nbins, min, max, ymax, logscale, xlabel,
528	+	filename+plotname[i]+"_mm", legendPosition );
529	+	make_one_OFSF_plot(variable, "id1==0&&id1==id2&&"+mllcuts[i], mllcutname[i], nbins, min, max, ymax, logscale, xlabel,
530	+	filename+plotname[i]+"_ee", legendPosition );
531	+	}
532	+
533	+	}
534	+
535	+
536		float lastrange_min=0;
537		float lastrange_max=0;
538
#	Line 181 | Line 562 | void make_kin_plot(string variable, stri
562		//Step 2: Refine the cut
563		TCut cut;
564		cut=cutmass&&cutOSSF&&cutnJets&&ibasiccut;
565	<	if(filename=="nJets") cut=cutmass&&cutOSSF&&ibasiccut;
565	>	if(filename=="nJets" || filename=="nJets_inclusive") cut=cutmass&&cutOSSF&&ibasiccut;
566	>	if(filename=="nJets_osof" || filename=="nJets_osof_inclusive") cut=cutmass&&cutOSOF&&ibasiccut;
567		if(filename=="nJets_nocuts_except_mll_ossf") cut=cutmass&&cutOSSF;
568		if(filename=="mll") {
569		cut=cutOSSF&&cutnJets&&ibasiccut;
570		draw_separation_lines=true;
571		}
572		if(filename=="mll_ee") cut=cutOSSF&&cutnJets&&ibasiccut&&"id1==0";
573	+	if(filename=="mll_mm") cut=cutOSSF&&cutnJets&&ibasiccut&&"id1==1";
574		if(filename=="mll_osof") {
575		cut=cutOSOF&&cutnJets&&ibasiccut;
576		draw_separation_lines=true;
577		}
578	<	if(filename=="mll_mm") cut=cutOSSF&&cutnJets&&ibasiccut&&"id1==1";
579	<	if(filename=="mll_aboveJZB100") cut=cutOSSF&&cutnJets&&ibasiccut;
580	<	if(filename=="mll_inclusive"||filename=="mll_inclusive_highrange") cut=cutOSSF;
581	<	if(filename=="mll_inclusive_osof") cut=cutOSOF;
582	<	if(filename=="mll_inclusive_ee") cut=cutOSSF&&"id1==0";
583	<	if(filename=="mll_inclusive_mm") cut=cutOSSF&&"id1==1";
578	>	if(Contains(filename,"aboveJZB")) cut=cutOSSF&&cutnJets&&ibasiccut;
579	>	if(Contains(filename,"mll_ee_above")) cut=cut&&"id1==0";
580	>	if(Contains(filename,"mll_mm_above")) cut=cut&&"id1==1";
581	>	if(Contains(filename,"mll_osof_aboveJZB")) cut=cutOSOF&&cutnJets&&ibasiccut;
582	>	if(filename=="mll_inclusive"||filename=="mll_inclusive_highrange") cut=cutmass&&cutOSSF;
583	>	if(filename=="mll_inclusive_osof") cut=cutmass&&cutOSOF;
584	>	if(filename=="mll_inclusive_ee") cut=cutmass&&cutOSSF&&"id1==0";
585	>	if(filename=="mll_inclusive_mm") cut=cutmass&&cutOSSF&&"id1==1";
586		if(filename=="pfJetGoodEta_0") cut=cutOSSF&&cutmass&&ibasiccut&&cutnJets;
587		if(filename=="pfJetGoodPt_0") cut=cutOSSF&&cutmass&&ibasiccut&&cutnJets;
588	+	if(filename=="numVtx") cut=cutmass&&ibasiccut;
589
590		TCanvas *ckin = new TCanvas("ckin","Kinematic Plots (in the making)",600,600);
591		ckin->SetLogy(logscale);
592		TH1F *datahisto = allsamples.Draw("datahisto",variable,nbins,min,max, xlabel, "events",cut,data,luminosity);
593		datahisto->SetMarkerSize(DataMarkerSize);
594	<	THStack mcstack = allsamples.DrawStack("mcstack",variable,nbins,min,max, xlabel, "events",cut,mc,luminosity);
594	>	if ( !logscale ) datahisto->SetMinimum(0); // Defaults
595	>	else datahisto->SetMinimum(0.5);
596	>	// Custom max.
597	>	if(variable=="TMath::Abs(pfJetDphiMet[0])") datahisto->SetMaximum(1.5*datahisto->GetMaximum());
598		if(variable=="pfJetGoodPt[0]") datahisto->SetMaximum(10*datahisto->GetMaximum());
599		if(variable=="pt") datahisto->SetMaximum(10*datahisto->GetMaximum());
600	<	if(filename=="mll_inclusive") datahisto->SetMinimum(1);
600	>	if(filename=="mll_inclusive"||filename=="mll_inclusive_mm"||filename=="mll_inclusive_ee") datahisto->SetMinimum(1);
601		if(filename=="mll_osof") datahisto->SetMaximum(10*datahisto->GetMaximum());
602		if(filename=="mll_osof") datahisto->SetMinimum(9);
603	+	if (logscale) datahisto->SetMaximum(5.3*datahisto->GetMaximum());
604	+	else datahisto->SetMaximum(1.3*datahisto->GetMaximum());
605
606	<	datahisto->SetMaximum(5.3*datahisto->GetMaximum());
216	<	datahisto->Draw("e1");
217	<	ckin->Update();
606	>	cout << "******** Cut used : " << (const char*) cut << endl;
607		if(loadlastminmax) {
608		datahisto->SetMinimum(lastrange_min);
609		datahisto->SetMaximum(lastrange_max);
#	Line 224 | Line 613 | void make_kin_plot(string variable, stri
613		}
614		}
615
616	+	// Draw signal by hand (for some reason I don't manage to use the sample class: it adds it to the stack!)
617	+	string signal("LM3");
618	+	TH1F* signalhisto = new TH1F("signalhisto",signal.c_str(),nbins,min,max);
619	+	int idx = signalsamples.FindSample(signal)[0];
620	+	(signalsamples.collection)[idx].events->Project("signalhisto",variable.c_str(),cut);
621	+	signalhisto->Scale((signalsamples.collection)[idx].weight*luminosity);
622	+	signalhisto->SetLineColor(kOrange);
623	+
624	+	THStack mcstack   = allsamples.DrawStack("mcstack",  variable,nbins,min,max,xlabel,"events",cut,mc,luminosity);
625	+	datahisto->Draw("e1");
626	+	ckin->Update();
627		mcstack.Draw("same");
628	+
629		datahisto->Draw("same,e1");
630		TLegend *kinleg = allsamples.allbglegend();
631		kinleg->Draw();
#	Line 267 | Line 668 | void make_kin_plot(string variable, stri
668		kinpad->SetLogy(logscale);
669		datahisto->Draw("e1");
670		mcstack.Draw("same");
671	+	signalhisto->Draw("same");
672		datahisto->Draw("same,e1");
673		datahisto->Draw("same,axis");
674		if(RestrictToMassPeak&&draw_separation_lines) {
#	Line 274 | Line 676 | void make_kin_plot(string variable, stri
676		upperboundary->Draw("same");
677		}
678
679	+	kinleg->AddEntry("signalhisto",signal.c_str(),"l");
680		kinleg->Draw();
681		write_cut->Draw();
682		DrawPrelim();
#	Line 291 | Line 694 | void make_kin_plot(string variable, stri
694		delete ckin;
695		}
696
697	<
295	<	void make_JES_plot() {
697	>	void make_JES_plot(TCut cut, string name) {
698
699		int nbins=10;
700		float min=-0.5;
701		float max = 9.5;
702		bool logscale=true;
703		string xlabel="nJets";
302	–	TCut cut=cutmass&&cutOSSF&&basiccut;
704
705		TCanvas *ckin = new TCanvas("ckin","Kinematic Plots (in the making)",600,600);
706		ckin->SetLogy(logscale);
707	<	TH1F *datahisto = allsamples.Draw("datahisto","pfJetGoodNum",nbins,min,max, xlabel, "events",cut,data,luminosity);
707	>	TH1F *datahisto = allsamples.Draw("datahisto","pfJetGoodNum40",nbins,min,max, xlabel, "events",cut,data,luminosity);
708		datahisto->SetMarkerSize(DataMarkerSize);
709	<	THStack mcstack = allsamples.DrawStack("mcstack","pfJetGoodNum",nbins,min,max, xlabel, "events",cut,mc,luminosity);
710	<	TH1F *JESup = allsamples.Draw("JESup","pfJetGoodNum315",nbins,min,max, xlabel, "events",cut,mc,luminosity);
711	<	TH1F *JESdn = allsamples.Draw("JESdn","pfJetGoodNum285",nbins,min,max, xlabel, "events",cut,mc,luminosity);
709	>	THStack mcstack = allsamples.DrawStack("mcstack","pfJetGoodNum40",nbins,min,max, xlabel, "events",cut,mc,luminosity);
710	>	TH1F *JESup = allsamples.Draw("JESup","pfJetGoodNum40p1sigma",nbins,min,max, xlabel, "events",cut,mc,luminosity);
711	>	TH1F *JESdn = allsamples.Draw("JESdn","pfJetGoodNum40n1sigma",nbins,min,max, xlabel, "events",cut,mc,luminosity);
712
713		datahisto->SetMinimum(1);
714		datahisto->SetMaximum(5.3*datahisto->GetMaximum()); // in line with kinematic plots style
#	Line 332 | Line 733 | void make_JES_plot() {
733		TLegend *kinleg = allsamples.allbglegend();
734		kinleg->AddEntry(JESunc,"JES uncertainty","f");
735		kinleg->Draw();
736	<	CompleteSave(ckin,"Systematics/JES");
736	>	CompleteSave(ckin,"Systematics/JES"+name);
737		datahisto->Delete();
738		delete ckin;
739
#	Line 342 | Line 743 | void do_kinematic_plots(string mcjzb, st
743		{
744		bool dolog=true;
745		bool nolog=false;
746	+
747	+	bool doOFSF = false;
748	+	bool doKin  = false;
749	+	bool doDataComp = true;
750	+
751	+
752		if(doPF) write_warning(__FUNCTION__,"Please use caution when trying to produce PF plots; not all versions of the JZB trees have these variables!");
753	<	float mll_low=40;
753	>	float mll_low=50;
754		float mll_hi=160;
755		if(!PlottingSetup::RestrictToMassPeak) {
756	<	mll_low=30;
757	<	mll_hi=180;
756	>	mll_low=20;
757	>	mll_hi=320;
758		}
759	<	make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll",doPF,true);
760	<	make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_osof",doPF,true,true);
761	<	make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_ee",doPF,true);
762	<	make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_mm",doPF,true);
763	<	make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive",doPF,true);
764	<	make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_ee",doPF,true);
765	<	make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_mm",doPF,true);
766	<	make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_osof",doPF,true);
767	<	make_kin_plot("mll","",(int)((350-mll_low)),mll_low,350,dolog,"m_{ll} [GeV]","mll_inclusive_highrange",doPF);
768	<	make_kin_plot("jetpt[0]","",40,0,200,dolog,"leading jet p_{T} [GeV]","pfJetGoodPt_0",doPF);
769	<	make_kin_plot("jeteta[0]","",40,-5,5,nolog,"leading jet #eta","pfJetGoodEta_0",doPF);
770	<	make_kin_plot("pt","",50,0,400,dolog,"Z p_{T} [GeV]","Zpt",doPF);
771	<	make_kin_plot("pt1","",50,0,100,nolog,"p_{T} [GeV]","pt1",doPF);
772	<	make_kin_plot("pt2","",50,0,100,nolog,"p_{T} [GeV]","pt2",doPF);
773	<	make_kin_plot("eta1","",40,-5,5,nolog,"#eta_{l}","eta",doPF);
774	<	make_kin_plot("jzb[1]","",100,-150,150,dolog,"JZB [GeV]","jzb_ossf",doPF);
775	<	make_kin_plot("pfJetGoodNum","",8,0.5,8.5,dolog,"nJets","nJets",doPF);
776	<	make_kin_plot("pfJetGoodNum","",8,0.5,8.5,dolog,"nJets","nJets_nocuts_except_mll_ossf",doPF);
777	<	if(!doPF) make_special_mll_plot((int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]");
778	<	stringstream jzbcut;
779	<	jzbcut << "((is_data&&("<<datajzb<<")>100)||(!is_data&&("<<mcjzb<<")>100))";
780	<	make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB100",doPF,true);
759	>
760	>	if ( doOFSF ) {
761	>	make_OFSF_plots("mll", "met[4]>100", 60, 20., 320., false, "m_{ll}", "mll");
762	>
763	>	make_OFSF_plots("pfJetGoodNum40",     "met[4]>100", 7, 3, 10, true, "#(jets)", "njets");
764	>	make_OFSF_plots("pfJetGoodNum40",     "met[4]>100&&pfJetGoodNumBtag30==0", 7, 3, 10, true, "#(jets)", "njets_btagVeto");
765	>	make_OFSF_plots("pfJetGoodNum40",     "met[4]>100&&pfJetGoodNumBtag30>0", 7, 3, 10, true, "#(jets)", "njets_AtLeastOneBJet30");
766	>
767	>	make_OFSF_plots("pfJetGoodNumBtag30", "met[4]>100", 5, 0, 5, true, "#(b-jets)", "nbjets");
768	>	make_OFSF_plots("iso1", "met[4]>100", 20, 0, 0.3, true, "lepton 1 isolation", "iso1");
769	>	make_OFSF_plots("iso2", "met[4]>100", 20, 0, 0.3, true, "lepton 2 isolation", "iso2");
770	>	//  make_OFSF_plots("pt1",  "met[4]>100", 30, 0., 300., true, "p_{T,1}", "pt1");
771	>	//  make_OFSF_plots("pt2",  "met[4]>100", 22, 0., 220., true, "p_{T,2}", "pt2");
772	>	make_OFSF_plots("eta1", "met[4]>100", 10, -2.5, 2.5, false, "#eta_{1}", "eta1", 0.15);
773	>	make_OFSF_plots("eta2", "met[4]>100", 10, -2.5, 2.5, false, "#eta_{2}", "eta2", 0.15);
774	>	//  make_OFSF_plots("phi1", "met[4]>100", 10, -TMath::Pi(), TMath::Pi(), false, "#phi_{1}", "phi1", 0.2);
775	>	//  make_OFSF_plots("phi2", "met[4]>100", 10, -TMath::Pi(), TMath::Pi(), false, "#phi_{2}", "phi2", 0.2);
776	>	//  make_OFSF_plots("pfJetGoodPt[0]/pfJetGoodPt[1]", "met[4]>100", 20, 1, 10, true, "pt_{j}^{1}/pt_{j}^{2}", "jpt1pt2", 0.2);
777	>	make_OFSF_plots("TMath::Abs(pfJetDphiMet[0])", "met[4]>100", 16, 0, 3.2, false, "|#Delta#phi(jet1,MET)|", "dphij1met", 0.2);
778	>	make_OFSF_plots("TMath::Abs(dphi)", "met[4]>100", 16, 0, 3.2, false, "|#Delta#phi(l1,l2)|", "dphi", 0.2);
779	>	//  make_OFSF_plots("TMath::Abs(dphiMet1)", "met[4]>100", 16, 0, 3.2, false, "|#Delta#phi(l1,MET)|", "dphiMet1", 0.2);
780	>	//  make_OFSF_plots("TMath::Abs(dphiMet2)", "met[4]>100", 16, 0, 3.2, false, "|#Delta#phi(l2,MET)|", "dphiMet2", 0.2);
781	>	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");
782	>	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");
783	>	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");
784	>	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");
785	>	}
786	>
787	>	if ( doDataComp && !PlottingSetup::openBox ) {
788	>	TCut mllCut("");
789	>	if ( !PlottingSetup::openBox ) mllCut = "mll>120";
790	>
791	>	TCut cutSignal = cutmass&&cutnJets&&"met[4]>100";
792	>	make_data_comparison_plot("mll", cutOSSF&&cutSignal&&mllCut,           60, 20., 320.,-1., false, "m_{ll}", "mll_SF_sig");
793	>	make_data_comparison_plot("mll", cutOSSF&&cutSignal&&mllCut&&"id1==0", 60, 20., 320.,-1., false, "m_{ll}", "mll_SF_sig_ee");
794	>	make_data_comparison_plot("mll", cutOSSF&&cutSignal&&mllCut&&"id1==1", 60, 20., 320.,-1., false, "m_{ll}", "mll_SF_sig_mm");
795	>
796	>	make_data_comparison_plot("mll", cutOSSF&&cutSignal&&mllCut&&"pfJetGoodNumBtag30==0",           60, 20., 320.,-1., false, "m_{ll}", "mll_SF_sig_btagVeto");
797	>	make_data_comparison_plot("mll", cutOSSF&&cutSignal&&mllCut&&"id1==0&&pfJetGoodNumBtag30==0", 60, 20., 320.,-1., false, "m_{ll}", "mll_SF_sig_ee_btagVeto");
798	>	make_data_comparison_plot("mll", cutOSSF&&cutSignal&&mllCut&&"id1==1&&pfJetGoodNumBtag30==0", 60, 20., 320.,-1., false, "m_{ll}", "mll_SF_sig_mm_btagVeto");
799	>
800	>	make_data_comparison_plot("mll", cutOSSF&&cutSignal&&mllCut&&"pfJetGoodNumBtag30>0",           60, 20., 320.,-1., false, "m_{ll}", "mll_SF_sig_AtLeastOneBJet");
801	>	make_data_comparison_plot("mll", cutOSSF&&cutSignal&&mllCut&&"id1==0&&pfJetGoodNumBtag30>0", 60, 20., 320.,-1., false, "m_{ll}", "mll_SF_sig_ee_AtLeastOneBJet");
802	>	make_data_comparison_plot("mll", cutOSSF&&cutSignal&&mllCut&&"id1==1&&pfJetGoodNumBtag30>0", 60, 20., 320.,-1., false, "m_{ll}", "mll_SF_sig_mm_AtLeastOneBJet");
803	>
804	>	make_data_comparison_plot("mll", cutOSOF&&cutSignal, 60, 20., 320.,-1., false, "m_{ll}", "mll_OF_sig");
805	>	make_data_comparison_plot("mll", cutmass&&"met[4]>100&&met[4]<150&&pfJetGoodNum40<3", 60, 20., 320.,-1., false, "m_{ll}", "mll_SF_CR");
806	>	}
807	>
808	>
809	>	if ( doKin ) {
810	>	string mllCut("");
811	>	if ( !PlottingSetup::openBox ) mllCut = "&&mll>120";
812	>
813	>	// Plots in signal region
814	>	make_kin_plot("met[4]","",70,0,350,dolog,"MET [GeV]","met",doPF,true);
815	>	make_kin_plot("mll","mll>20&&met[4]>100"+mllCut,(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll",doPF,true);
816	>	make_kin_plot("mll","mll>20&&met[4]>100",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_osof",doPF,true,true);
817	>	make_kin_plot("mll","mll>20&&met[4]>100"+mllCut,(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_ee",doPF,true);
818	>	make_kin_plot("mll","mll>20&&met[4]>100"+mllCut,(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_mm",doPF,true);
819	>
820	>	make_kin_plot("pfJetGoodNum40","met[4]>100"+mllCut,9,-0.5,8.5,dolog,"nJets","nJets",doPF);
821	>	make_kin_plot("pfJetGoodNum40","met[4]>100",9,-0.5,8.5,dolog,"nJets","nJets_osof",doPF);
822	>
823	>	// Further inclusive invariant mass plots
824	>	make_kin_plot("mll","",(int)((mll_hi-mll_low))/5,mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive",doPF,true);
825	>	make_kin_plot("mll","",(int)((mll_hi-mll_low))/5,mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_ee",doPF,true);
826	>	make_kin_plot("mll","",(int)((mll_hi-mll_low))/5,mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_mm",doPF,true);
827	>	make_kin_plot("mll","",(int)((mll_hi-mll_low))/5,mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_osof",doPF,true);
828	>
829	>	//make_kin_plot("mll","",(int)((350-mll_low))/5,mll_low,350,dolog,"m_{ll} [GeV]","mll_inclusive_highrange",doPF);
830	>	//if(!doPF) make_special_mll_plot((int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]");
831	>
832	>	//make_kin_plot("pfJetGoodPt[0]/pfJetGoodPt[1]","",45,1,10,dolog,"pt_{j}^{1}/pt_{j}^{2}","j1j2ratio",doPF,true);
833	>	//make_kin_plot("TMath::Abs(pfJetDphiMet[0])","",32,0,3.2,nolog,"|#Delta#phi(jet1,MET)|","dphiJ1MET",doPF,true);
834	>
835	>	// Number of jets
836	>	make_kin_plot("pfJetGoodNum40","",9,-0.5,8.5,dolog,"nJets","nJets_inclusive",doPF);
837	>	make_kin_plot("pfJetGoodNum40","",9,-0.5,8.5,dolog,"nJets","nJets_osof_inclusive",doPF);
838	>	//make_kin_plot("pfJetGoodNum40","",9,-0.5,8.5,dolog,"nJets","nJets_nocuts_except_mll_ossf",doPF);
839	>
840	>	// Others
841	>	make_kin_plot("numVtx","",(int)(30.5-(-0.5)),-0.5,30.5,nolog,"N(Vtx)","numVtx",doPF);
842	>	//  make_kin_plot("jetpt[0]","",40,0,200,dolog,"leading jet p_{T} [GeV]","pfJetGoodPt_0",doPF);
843	>	//  make_kin_plot("jeteta[0]","",40,-5,5,nolog,"leading jet #eta","pfJetGoodEta_0",doPF);
844	>	make_kin_plot("pt","",50,0,500,dolog,"Z p_{T} [GeV]","Zpt",doPF);
845	>	make_kin_plot("pt1","",50,0,200,nolog,"p_{T} [GeV]","pt1",doPF);
846	>	make_kin_plot("pt2","",50,0,200,nolog,"p_{T} [GeV]","pt2",doPF);
847	>	make_kin_plot("eta1","",40,-3,3,nolog,"#eta_{l}","eta",doPF);
848	>	make_kin_plot("jzb[1]","",100,-150,200,dolog,"JZB [GeV]","jzb_ossf",doPF);
849	>	//   stringstream jzbcut;
850	>	//   jzbcut << "((is_data&&("<<datajzb<<")>100)||(!is_data&&("<<mcjzb<<")>100))";
851	>	//   make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_aboveJZB100",doPF,true);
852	>	//   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);
853	>	//   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);
854	>	//   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);
855	>	//   stringstream jzbcut2;
856	>	//   jzbcut2 << "((is_data&&("<<datajzb<<")>150)||(!is_data&&("<<mcjzb<<")>150))";
857	>	//   make_kin_plot("mll",jzbcut2.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_aboveJZB150",doPF,true);
858	>	//   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);
859	>	//   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);
860	>	//   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);
861	>	//   stringstream jzbcut3;
862	>	//   jzbcut3 << "((is_data&&("<<datajzb<<")>50)||(!is_data&&("<<mcjzb<<")>50))";
863	>	//   make_kin_plot("mll",jzbcut3.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_aboveJZB50",doPF,true);
864	>	//   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);
865	>	//   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);
866	>	//   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);
867	>
868	>	//   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);
869	>	//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);
870	>	//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);
871	>	}
872	>
873	>	//   make_special_obs_pred_mll_plot(datajzb,mcjzb,0);
874	>	//   make_special_obs_pred_mll_plot(datajzb,mcjzb,50);
875	>	//   make_special_obs_pred_mll_plot(datajzb,mcjzb,80);
876	>	//   make_special_obs_pred_mll_plot(datajzb,mcjzb,100);
877	>	//   make_special_obs_pred_mll_plot(datajzb,mcjzb,150);
878	>	//   make_special_obs_pred_mll_plot(datajzb,mcjzb,200);
879	>	//   make_special_obs_pred_mll_plot(datajzb,mcjzb,250);
880	>
881	>	//   make_JES_plot(cutmass&&cutOSSF&&basiccut,"_ossf");
882	>	//   make_JES_plot(cutmass&&cutOSOF&&basiccut,"_osof");
883	>
884		}
885
886		void make_comp_plot( string var, string xlabel, string filename, float jzbcut, string mcjzb, string datajzb,
887		int nbins, float xmin, float xmax, bool log,
888		float ymin=0, float ymax=0, bool leftJustified=false ) {
889	<	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- WATCH OUT: the argument in the function changed!
889	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- WATCH OUT: the argument in the function changed!
890
891		TCut weightbackup=cutWeight;//backing up the correct weight (restoring below!)
892		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__));
893	<	if(var=="numVtx") cutWeight=TCut("1.0");
893	>	//if(var=="numVtx") cutWeight=TCut("1.0");
894		TCut jzbData[]= { TCut(TString(datajzb+">"+any2string(jzbcut))),TCut(TString(datajzb+"<-"+any2string(jzbcut))) };
895		TCut jzbMC[]  = { TCut(TString(mcjzb+">"+any2string(jzbcut))),TCut(TString(mcjzb+"<-"+any2string(jzbcut))) };
896
897		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- below: the next ~20 lines changed!
898		int nRegions=4;
899	<	if(!PlottingSetup::RestrictToMassPeak) {
899	>	if(!PlottingSetup::RestrictToMassPeak||!PlottingSetup::UseSidebandsForcJZB) {
900		nRegions=2;
901		}
902
#	Line 404 | Line 914 | void make_comp_plot( string var, string
914		TCanvas *ccomp = new TCanvas("ccomp","Comparison plot",600,400);
915		ccomp->SetLogy(log);
916		TH1F *datahisto = allsamples.Draw("datahisto",   var,nbins,xmin,xmax,xlabel,"events",kRegions[iregion]&&jzbData[ijzb],data,luminosity);
917	<	TH1F *lm4histo = signalsamples.Draw("lm4histo",   var,nbins,xmin,xmax,xlabel,"events",kRegions[iregion]&&jzbData[ijzb],data,luminosity,signalsamples.FindSample("LM4"));
917	>	TH1F *lm3histo  = signalsamples.Draw("lm3histo",   var,nbins,xmin,xmax,xlabel,"events",kRegions[iregion]&&jzbMC[ijzb],data,luminosity,signalsamples.FindSample("LM3"));
918		THStack mcstack = allsamples.DrawStack("mcstack",var,nbins,xmin,xmax,xlabel,"events",kRegions[iregion]&&jzbMC[ijzb],  mc,  luminosity);
919		datahisto->SetMarkerSize(DataMarkerSize);
920		if (ymax>ymin) datahisto->SetMaximum(ymax);
921	<	lm4histo->SetLineStyle(2);
921	>	lm3histo->SetLineStyle(2);
922		datahisto->Draw("e1");
923		mcstack.Draw("same");
924		datahisto->Draw("same,e1");
925	<	//      lm4histo->Draw("hist,same");
925	>	lm3histo->Draw("hist,same");
926		TLegend *kinleg = allsamples.allbglegend((sRegions[iregion]+(ijzb?"neg":"pos")).c_str());
927		if ( leftJustified ) {
928		Float_t w = kinleg->GetX2()-kinleg->GetX1();
929		kinleg->SetX1(0.2);
930		kinleg->SetX2(0.2+w);
931		}
932	<	//      kinleg->AddEntry(lm4histo,"LM4","l");
932	>	kinleg->AddEntry(lm3histo,"LM3","l");
933		kinleg->Draw();
934		TText* write_variable = write_text(0.99,0.01,var);
935		write_variable->SetTextAlign(31);
#	Line 428 | Line 938 | void make_comp_plot( string var, string
938		CompleteSave(ccomp,"compare/JZBcut_at_"+any2string(jzbcut)+"/"+filename+"/"+filename+sRegions[iregion]+(ijzb?"neg":"pos"));
939		delete datahisto;
940		delete ccomp;
941	<	delete lm4histo;
941	>	delete lm3histo;
942		}
943		cutWeight=weightbackup;
944		}
#	Line 438 | Line 948 | void region_comparison_plots(string mcjz
948		dout << "Creating comparison plots for signal and control regions" << endl;
949		// Compare a few quantities in the signal region and all 7 control regions
950
951	<	switch_overunderflow(true);  // switching overflow/underflow bins on
951	>	//  switch_overunderflow(true);  // switching overflow/underflow bins on
952
953
954		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- the arguments changed
955	<	for(int ijzb=0;ijzb<jzb_cuts.size();ijzb++) {
955	>	for(int ijzb=0;ijzb<(int)jzb_cuts.size();ijzb++) {
956		float jzbcut=jzb_cuts[ijzb]; // Comparison plots are done for this JZB cut
957		float mll_low=50;float mll_high=170;
958		if(!PlottingSetup::RestrictToMassPeak) {
959	<	mll_high=200;
960	<	mll_low=50;
959	>	mll_high=300;
960	>	mll_low=20;
961		}
962	<	make_comp_plot("mll","m_{ll} [GeV]","mll",jzbcut,mcjzb,datajzb,30,mll_low,mll_high,false,0,16.);
962	>	make_comp_plot("pfJetGoodPt[0]/pfJetGoodPt[1]","pt_{j}^{1}/pt_{j}^{2}","j1j2ratio",jzbcut,mcjzb,datajzb,100,0,10,true);
963	>	make_comp_plot("TMath::Abs(pfJetDphiMet[0])","|#Delta#phi(jet1,MET)|","dphiJ1MET",jzbcut,mcjzb,datajzb,32,0,3.2,false,0,0,true);
964	>
965	>	make_comp_plot("mll","m_{ll} [GeV]","mll",jzbcut,mcjzb,datajzb,56,mll_low,mll_high,false,0,16.);
966		make_comp_plot("met[4]","pfMET [GeV]","pfmet",jzbcut,mcjzb,datajzb,18,0,360,false,0,16.);
967	<	make_comp_plot("pfJetGoodNum","#(jets)","njets",jzbcut,mcjzb,datajzb,10,0,10, false,0,35.);
967	>	make_comp_plot("pfJetGoodNum40","#(jets)","njets",jzbcut,mcjzb,datajzb,10,0,10, false,0,35.);
968	>	make_comp_plot("pfJetGoodNumBtag","#(b-jets)","nBjets",jzbcut,mcjzb,datajzb,10,0,10, false,0,35.);
969		make_comp_plot("pt","Z p_{T} [GeV]","Zpt",jzbcut,mcjzb,datajzb,26,0,525,false,0.,21.);
970	<	make_comp_plot("numVtx","#(prim. vertices)","nvtx",jzbcut,mcjzb,datajzb,20,0.,20.,false,0,16.);
970	>	make_comp_plot("numVtx","#(prim. vertices)","nvtx",jzbcut,mcjzb,datajzb,40,0.,40.,false,0,16.);
971		make_comp_plot("TMath::Abs(dphi)","#Delta#phi(leptons)","dphilep",jzbcut,mcjzb,datajzb,10,0.,3.1415,false,0,16.,true);
972		make_comp_plot("TMath::Abs(dphi_sumJetVSZ[1])","#Delta#phi(Z,jets)","dphiZjets",jzbcut,mcjzb,datajzb,10,0.,3.1415,false,0,16.,true);
973	+	make_comp_plot("eta1","#eta_1","eta1",jzbcut,mcjzb,datajzb,10,0.,2.5,false,0,16.);
974	+	make_comp_plot("eta2","#eta_2","eta2",jzbcut,mcjzb,datajzb,10,0.,2.5,false,0,16.);
975		}
976
977		switch_overunderflow(false); // switching overflow/underflow bins off
#	Line 480 | Line 996 | void signal_bg_comparison()
996		float simulatedlumi=luminosity;//in pb please - adjust to your likings
997
998		TH1F *JZBplotZJETs = allsamples.Draw("JZBplotZJETs",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("/DY"));
999	<	TH1F *JZBplotLM4 = allsamples.Draw("JZBplotLM4",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("LM4"));
999	>	TH1F *JZBplotLM4;
1000	>	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"));
1001	>	else JZBplotLM4 = allsamples.Draw("JZBplotLM4",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("LM3"));
1002		TH1F *JZBplotTtbar = allsamples.Draw("JZBplotTtbar",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("TTJets"));
1003
1004		JZBplotTtbar->SetLineColor(allsamples.GetColor("TTJet"));
#	Line 504 | Line 1022 | void signal_bg_comparison()
1022		TLegend *signal_bg_comparison_leg2 =  make_legend("",0.55,0.75,false);
1023		signal_bg_comparison_leg2->AddEntry(JZBplotZJETs,"Z+Jets","f");
1024		signal_bg_comparison_leg2->AddEntry(JZBplotTtbar,"t#bar{t}","f");
1025	<	signal_bg_comparison_leg2->AddEntry(JZBplotLM4,"LM4","f");
1025	>	if(PlottingSetup::RestrictToMassPeak) signal_bg_comparison_leg2->AddEntry(JZBplotLM4,"LM4","f");
1026	>	else signal_bg_comparison_leg2->AddEntry(JZBplotLM4,"LM3","f");
1027		signal_bg_comparison_leg2->Draw();
1028		DrawMCPrelim(simulatedlumi);
1029		CompleteSave(can,"jzb_bg_vs_signal_distribution");
#	Line 651 | Line 1170 | vector<TF1*> do_extended_fit_to_plot(TH1
1170		//      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)
1171		TF1 *ttbarlogpar = do_logpar_fit_to_plot(Tprediction);
1172		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1173	<	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);
1173	>	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);
1174
1175
1176		TF1 *ttbarlogparP = new TF1("ttbarlogparP",LogParabolaP,0,(prediction->GetXaxis()->GetBinLowEdge(prediction->GetNbinsX())+prediction->GetXaxis()->GetBinWidth(prediction->GetNbinsX())),8);
#	Line 746 | Line 1265 | if you want to start from scratch (witho
1265		return return_functions;
1266		}
1267
1268	<	void do_prediction_plot(string jzb, TCanvas *globalcanvas, float sigma, float high, int use_data, bool overlay_signal = false )
1268	>	void do_prediction_plot(string jzb, TCanvas *globalcanvas, float high, int use_data, bool overlay_signal = false,string subdir="" )
1269		{
1270	+	//  switch_overunderflow(true);
1271		bool is_data=false;
1272		bool use_signal=false;
1273		if(use_data==1) is_data=true;
#	Line 756 | Line 1276 | void do_prediction_plot(string jzb, TCan
1276		if(is_data) nbins=50;
1277		float low=0;
1278		float hi=500;
1279	+
1280		TH1F *blankback = new TH1F("blankback","blankback",int(high/10),0,high);
1281		TH1F *RcorrJZBeemm   = allsamples.Draw("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1282		TH1F *LcorrJZBeemm   = allsamples.Draw("LcorrJZBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1283		TH1F *RcorrJZBem     = allsamples.Draw("RcorrJZBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1284		TH1F *LcorrJZBem     = allsamples.Draw("LcorrJZBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1285	+
1286		blankback->GetXaxis()->SetTitle(RcorrJZBeemm->GetXaxis()->GetTitle());
1287		blankback->GetYaxis()->SetTitle(RcorrJZBeemm->GetYaxis()->GetTitle());
1288		blankback->GetXaxis()->CenterTitle();
#	Line 775 | Line 1297 | void do_prediction_plot(string jzb, TCan
1297		TH1F *RcorrJZBeemmNoS;
1298
1299		//these are for the ratio
1300	+
1301		TH1F *JRcorrJZBeemm   = allsamples.Draw("JRcorrJZBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1302		TH1F *JLcorrJZBeemm   = allsamples.Draw("JLcorrJZBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1303		TH1F *JRcorrJZBem     = allsamples.Draw("JRcorrJZBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
#	Line 788 | Line 1311 | void do_prediction_plot(string jzb, TCan
1311		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);
1312
1313
1314	<	if(PlottingSetup::RestrictToMassPeak) {
1314	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
1315		RcorrJZBSBem   = allsamples.Draw("RcorrJZBSBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1316		LcorrJZBSBem   = allsamples.Draw("LcorrJZBSBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1317		RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1318		LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1319	<
1319	>
1320		//these are for the ratio
1321		JRcorrJZBSBem   = allsamples.Draw("JRcorrJZBSBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1322		JLcorrJZBSBem   = allsamples.Draw("JLcorrJZBSBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1323		JRcorrJZBSBeemm = allsamples.Draw("JRcorrJZBSBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1324		JLcorrJZBSBeemm = allsamples.Draw("JLcorrJZBSBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
802	–
1325		}
1326
1327		TH1F *lm4RcorrJZBeemm;
1328	<	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"));
1328	>	if(overlay_signal || use_data == 2 || use_data == 1) lm4RcorrJZBeemm = allsamples.Draw("lm4RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,allsamples.FindSample("LM"));
1329
1330		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- prediction changed.
1331
#	Line 812 | Line 1334 | void do_prediction_plot(string jzb, TCan
1334
1335		TH1F *Bpred = (TH1F*)LcorrJZBeemm->Clone("Bpred");
1336		TH1F *JBpred = (TH1F*)JLcorrJZBeemm->Clone("Bpred");
1337	<	if(PlottingSetup::RestrictToMassPeak) {
1337	>
1338	>	TH1F *BpredSys = new TH1F("Bpredsys","Bpredsys",PlottingSetup::global_ratio_binning.size()-1,&PlottingSetup::global_ratio_binning[0]);
1339	>	ClearHisto(BpredSys);
1340	>
1341	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
1342		Bpred->Add(RcorrJZBem,1.0/3.);
1343		Bpred->Add(LcorrJZBem,-1.0/3.);
1344		Bpred->Add(RcorrJZBSBem,1.0/3.);
#	Line 834 | Line 1360 | void do_prediction_plot(string jzb, TCan
1360		JBpred->Add(JLcorrJZBSBem,-1.0/3.);
1361		JBpred->Add(JRcorrJZBSBeemm,1.0/3.);
1362		JBpred->Add(JLcorrJZBSBeemm,-1.0/3.);
1363	+
1364	+	//Systematics:
1365	+	AddSquared(BpredSys,JLcorrJZBeemm,zjetsestimateuncertONPEAK*zjetsestimateuncertONPEAK);
1366	+	AddSquared(BpredSys,JRcorrJZBem,emuncertONPEAK*emuncertONPEAK*(1.0/9));
1367	+	AddSquared(BpredSys,JLcorrJZBem,emuncertONPEAK*emuncertONPEAK*(1.0/9));
1368	+	AddSquared(BpredSys,JRcorrJZBSBem,emsidebanduncertONPEAK*emsidebanduncertONPEAK*(1.0/9));
1369	+	AddSquared(BpredSys,JLcorrJZBSBem,emsidebanduncertONPEAK*emsidebanduncertONPEAK*(1.0/9));
1370	+	AddSquared(BpredSys,JRcorrJZBSBeemm,eemmsidebanduncertONPEAK*eemmsidebanduncertONPEAK*(1.0/9));
1371	+	AddSquared(BpredSys,JLcorrJZBSBeemm,eemmsidebanduncertONPEAK*eemmsidebanduncertONPEAK*(1.0/9));
1372		} else {
1373		Bpred->Add(RcorrJZBem,1.0);
1374		Bpred->Add(LcorrJZBem,-1.0);
#	Line 843 | Line 1378 | void do_prediction_plot(string jzb, TCan
1378		//these are for the ratio
1379		JBpred->Add(JRcorrJZBem,1.0);
1380		JBpred->Add(JLcorrJZBem,-1.0);
1381	+
1382	+	//Systematics
1383	+	AddSquared(BpredSys,JLcorrJZBeemm,zjetsestimateuncertOFFPEAK*zjetsestimateuncertOFFPEAK);
1384	+	AddSquared(BpredSys,JRcorrJZBem,emuncertOFFPEAK*emuncertOFFPEAK);
1385	+	AddSquared(BpredSys,JLcorrJZBem,emuncertOFFPEAK*emuncertOFFPEAK);
1386	+
1387		}
1388
1389	<
1389	>	SQRT(BpredSys);
1390	>	BpredSys->Divide(JBpred);
1391	>
1392
1393		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- prediction changed
1394		TH1F *Tpred = (TH1F*)RcorrJZBem->Clone("Bpred");
1395		Tpred->Add(LcorrJZBem,-1.0);
1396	<	if(PlottingSetup::RestrictToMassPeak) {
1396	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
1397		Tpred->Add(RcorrJZBSBem,1.0);
1398		Tpred->Add(LcorrJZBSBem,-1.0);
1399		Tpred->Add(RcorrJZBSBeemm,1.0);
#	Line 890 | Line 1433 | void do_prediction_plot(string jzb, TCan
1433		blankback->Draw();
1434		if(use_data==1)
1435		{
1436	+	//Bpred->SetLineWidth(3); //paper style.overruled.
1437	+	//lm4RcorrJZBeemm->SetLineWidth(3); //paper style.overruled.
1438		analytical_function = do_extended_fit_to_plot(Bpred,Tpred,LcorrJZBeemm,LcorrJZBem,is_data);
1439		kinpad->cd();//necessary because the extended fit function creates its own canvas
1440		RcorrJZBeemm->Draw("e1x0,same");
1441
1442		Bpred->Draw("hist,same");
1443	<	analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1443	>	//analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1444		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1445	+	lm4RcorrJZBeemm->Draw("hist,same");
1446		legBpred->AddEntry(RcorrJZBeemm,"observed","p");
1447		legBpred->AddEntry(Bpred,"predicted","l");
1448	<	legBpred->AddEntry(analytical_function[1],"predicted fit","l");
1449	<	legBpred->AddEntry(analytical_function[2],"stat. uncert.","l");
1450	<	if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1448	>	//    legBpred->AddEntry(analytical_function[1],"predicted fit","l");
1449	>	//    legBpred->AddEntry(analytical_function[2],"stat. uncert.","l");
1450	>	legBpred->AddEntry(lm4RcorrJZBeemm,(allsamples.collection[allsamples.FindSample("LM")[0]].samplename).c_str(),"l");
1451		legBpred->Draw();
1452		DrawPrelim();
1453
1454		//this plot shows what the prediction is composed of
1455	<	TCanvas *specialcanv = new TCanvas("specialcanv","specialcanv");
1456	<	specialcanv->SetLogy(1);
1457	<	Zjetspred->SetFillColor(kYellow);
1458	<	Zjetspred->SetLineColor(kYellow);
1459	<	TTbarpred->SetFillColor(allsamples.GetColor((allsamples.FindSample("TTJets"))[0]));
1460	<	TTbarpred->SetLineColor(allsamples.GetColor((allsamples.FindSample("TTJets"))[0]));
1455	>	TPad *predcomppad = new TPad("predcomppad","predcomppad",0,0,1,1);
1456	>	float CurrentBpredLineWidth=Bpred->GetLineWidth();
1457	>	Bpred->SetLineWidth(2);
1458	>	predcomppad->cd();
1459	>	predcomppad->SetLogy(1);
1460	>
1461	>	TH1F *jzbnegative = (TH1F*)LcorrJZBeemm->Clone("jzbnegative");
1462	>	TH1F *sidebandsemu = (TH1F*)Bpred->Clone("sidebandsemu");
1463	>	sidebandsemu->Add(jzbnegative,-1);
1464	>
1465	>	jzbnegative->SetFillColor(allsamples.GetColor((allsamples.FindSample("DY"))[0]));
1466	>	jzbnegative->SetLineColor(allsamples.GetColor((allsamples.FindSample("DY"))[0]));
1467	>	sidebandsemu->SetLineColor(allsamples.GetColor((allsamples.FindSample("TTJets"))[0]));
1468	>	sidebandsemu->SetFillColor(allsamples.GetColor((allsamples.FindSample("TTJets"))[0]));
1469	>
1470		THStack predcomposition("predcomposition","prediction composition");
1471	<	predcomposition.Add(TTbarpred);
1472	<	predcomposition.Add(Zjetspred);
1471	>	predcomposition.Add(sidebandsemu);
1472	>	predcomposition.Add(jzbnegative);
1473		blankback->Draw();
1474		RcorrJZBeemm->Draw("e1x0,same");
1475		predcomposition.Draw("histo,same");//
1476		Bpred->Draw("hist,same");
1477	<	analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1477	>	//    analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1478		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1479	<	legBpred->Draw();
1479	>	//    lm4RcorrJZBeemm->SetLineColor(kOrange+1);
1480	>	lm4RcorrJZBeemm->SetLineWidth(2);
1481	>	//lm4RcorrJZBeemm->SetLineWidth(2); // paper style. overruled.
1482	>	lm4RcorrJZBeemm->Draw("histo,same");
1483		DrawPrelim();
1484	<	TLegend *specialleg = new TLegend(0.6,0.4,0.89,0.55);
1485	<	specialleg->SetFillColor(kWhite);specialleg->SetLineColor(kWhite);
1486	<	specialleg->AddEntry(Zjetspred,"Z+Jets prediction","f");
1487	<	specialleg->AddEntry(TTbarpred,"t#bar{t} prediction","f");
1488	<	specialleg->Draw("same");
1489	<	CompleteSave(specialcanv,"Bpred_Data_____PredictionComposition");
1490	<
1491	<	THStack kostack = allsamples.DrawStack("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,!is_data, luminosity,use_signal);
1484	>	TLegend *speciallegBpred = make_legend("",0.45,0.55);
1485	>	//TLegend *speciallegBpred = make_legend("",0.35,0.55); // paper style. overruled.
1486	>	speciallegBpred->AddEntry(RcorrJZBeemm,"Data","pl");
1487	>	speciallegBpred->AddEntry(Bpred,"Total background","l");
1488	>	speciallegBpred->AddEntry(jzbnegative,"JZB<0 (data)","f");
1489	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) speciallegBpred->AddEntry(sidebandsemu,"Sidebands/e#mu (data)","f");
1490	>	else speciallegBpred->AddEntry(sidebandsemu,"e#mu (data)","f");
1491	>	//    speciallegBpred->AddEntry(lm4RcorrJZBeemmC,"LM4","l");
1492	>	speciallegBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1493	>	speciallegBpred->Draw();
1494	>	save_with_ratio(JRcorrJZBeemm,JBpred,predcomppad,subdir+"Bpred_Data_____PredictionComposition",true,true,"data/pred",BpredSys);
1495	>
1496	>	TCanvas *specialcanv = new TCanvas("specialcanv","specialcanv");
1497	>	specialcanv->SetLogy(1);
1498	>	//    THStack kostack = allsamples.DrawStack("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,!is_data, luminosity,use_signal);
1499		blankback->Draw();
1500	<	kostack.Draw("same");
1500	>	//    kostack.Draw("same");
1501	>	predcomposition.Draw();
1502		Bpred->Draw("hist,same");
1503	<	analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1503	>	//analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1504		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1505		legBpred->Draw();
1506		DrawPrelim();
1507	<	CompleteSave(specialcanv,"Bpred_Data_____PredictionCompositioninMC");
1507	>	CompleteSave(specialcanv,subdir+"Bpred_Data_____PredictionCompositioninMC");
1508	>	Bpred->SetLineWidth((int)CurrentBpredLineWidth);
1509	>
1510
1511	<	delete specialcanv;
1512	<	delete specialleg;
1511	>	//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;
1512	>
1513	>	delete speciallegBpred;
1514		delete Zjetspred;
1515		delete TTbarpred;
1516
#	Line 949 | Line 1518 | void do_prediction_plot(string jzb, TCan
1518		}
1519		if(use_data==0) {
1520		RcorrJZBeemm->Draw("e1x0,same");
1521	+	//Bpred->SetLineWidth(3); // paper style. overruled.
1522		Bpred->Draw("hist,same");
1523		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1524	<	legBpred->AddEntry(RcorrJZBeemm,"MC observed","p");
1525	<	legBpred->AddEntry(Bpred,"MC predicted","l");
1524	>	legBpred->AddEntry(RcorrJZBeemm,"MC true","p");
1525	>	legBpred->AddEntry(Bpred,"MC predicted","l");
1526		if(versok) legBpred->AddEntry((TObject*)0,"",""); // Just for alignment // causes seg fault on root v5.18
1527		if(versok) legBpred->AddEntry((TObject*)0,"",""); // causes seg fault on root v5.18
1528		if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
#	Line 963 | Line 1533 | void do_prediction_plot(string jzb, TCan
1533		}
1534		if(use_data==2) {
1535		RcorrJZBeemm->Draw("e1x0,same");
1536	+	//Bpred->SetLineWidth(3); // paper style. overruled.
1537		Bpred->Draw("hist,same");
1538		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1539	<	legBpred->AddEntry(RcorrJZBeemm,"MC observed","p");
1539	>	legBpred->AddEntry(RcorrJZBeemm,"MC true","p");
1540		legBpred->AddEntry(Bpred,"MC predicted","l");
1541	<	legBpred2->AddEntry(RcorrJZBeemm,"MC observed","p");
1541	>	legBpred2->AddEntry(RcorrJZBeemm,"MC true","p");
1542		legBpred2->AddEntry(Bpred,"MC predicted","l");
1543		{
1544		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 1549 | void do_prediction_plot(string jzb, TCan
1549		//      CompleteSave(globalcanvas,"Bpred_MCwithS"); // done below in save_with_ratio
1550		}
1551		{
1552	+	//lm4RcorrJZBeemm->SetLineWidth(3); //paper style. overruled.
1553	+	//RcorrJZBeemmNoS->SetLineWidth(3); //paper style. overruled.
1554	+	//lm4RcorrJZBeemm->SetLineStyle(2); //paper style. overruled.
1555	+	//RcorrJZBeemmNoS->SetLineStyle(3); //paper style. overruled.
1556	+	//lm4RcorrJZBeemm->SetLineColor(kOrange+1); //paper style. overruled.
1557	+
1558		RcorrJZBeemmNoS->SetLineStyle(2);
1559		legBpred2->AddEntry(RcorrJZBeemmNoS,"MC B","l");
1560		legBpred2->AddEntry(lm4RcorrJZBeemm,"MC S","l");
#	Line 996 | Line 1573 | void do_prediction_plot(string jzb, TCan
1573		//3rd last argument: do special bpred ratio, 2nd last argument: extended range!, last: y-axis title
1574		string ytitle("ratio");
1575		if ( use_data==1 ) ytitle = "data/pred";
1576	<	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,Bpredsaveas,true,use_data!=1,ytitle);
1576	>	//save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,Bpredsaveas,true,use_data!=1,ytitle);
1577	>	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,subdir+Bpredsaveas,true,false,ytitle,BpredSys);//not extending the y range anymore up to 4
1578
1579
1580		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1581	<	/// The part below is meaningless for the offpeak analysis (it's a comparison of the different estimates but there is but one estimate!)
1582	<	if(!PlottingSetup::RestrictToMassPeak) return;
1583	<	TH1F *Bpredem = (TH1F*)LcorrJZBeemm->Clone("Bpredem");
1584	<	Bpredem->Add(RcorrJZBem);
1585	<	Bpredem->Add(LcorrJZBem,-1);
1586	<	TH1F *BpredSBem = (TH1F*)LcorrJZBeemm->Clone("BpredSBem");
1587	<	BpredSBem->Add(RcorrJZBSBem);
1588	<	Bpred->Add(LcorrJZBSBem,-1);
1589	<	TH1F *BpredSBeemm = (TH1F*)LcorrJZBeemm->Clone("BpredSBeemm");
1590	<	BpredSBeemm->Add(RcorrJZBSBeemm);
1591	<	BpredSBeemm->Add(LcorrJZBSBeemm,-1.0);
1592	<	globalcanvas->cd();
1593	<	globalcanvas->SetLogy(1);
1594	<
1595	<	RcorrJZBeemm->SetMarkerStyle(20);
1596	<	RcorrJZBeemm->GetXaxis()->SetRangeUser(0,high);
1597	<	blankback->Draw();
1598	<	RcorrJZBeemm->Draw("e1x0,same");
1599	<	RcorrJZBeemm->SetMarkerSize(DataMarkerSize);
1600	<
1601	<	Bpredem->SetLineColor(kRed+1);
1602	<	Bpredem->SetStats(0);
1603	<	Bpredem->Draw("hist,same");
1604	<
1605	<	BpredSBem->SetLineColor(kGreen+2);//TColor::GetColor("#0B6138"));
1606	<	BpredSBem->SetLineStyle(2);
1607	<	BpredSBem->Draw("hist,same");
1608	<
1609	<	BpredSBeemm->SetLineColor(kBlue+1);
1610	<	BpredSBeemm->SetLineStyle(3);
1611	<	BpredSBeemm->Draw("hist,same");
1612	<	RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1613	<
1614	<	TLegend *legBpredc = make_legend("",0.6,0.55);
1615	<	if(use_data==1)
1616	<	{
1617	<	legBpredc->AddEntry(RcorrJZBeemm,"observed","p");
1618	<	legBpredc->AddEntry(Bpredem,"OFZP","l");
1619	<	legBpredc->AddEntry(BpredSBem,"OFSB","l");
1620	<	legBpredc->AddEntry(BpredSBeemm,"SFSB","l");
1621	<	legBpredc->Draw();
1622	<	CompleteSave(globalcanvas,"Bpred_Data_comparison");
1623	<	}
1624	<	if(use_data==0) {
1625	<	legBpredc->AddEntry(RcorrJZBeemm,"MC observed","p");
1626	<	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1627	<	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1628	<	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1629	<	legBpredc->Draw();
1630	<	CompleteSave(globalcanvas,"Bpred_MC_comparison");
1631	<	}
1632	<	if(use_data==2) {
1633	<	legBpredc->AddEntry(RcorrJZBeemm,"MC observed","p");
1634	<	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1635	<	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1636	<	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1637	<	if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1638	<	legBpredc->Draw();
1639	<	CompleteSave(globalcanvas,"Bpred_MCwithS_comparison");
1581	>	// The part below is meaningless for the offpeak analysis (it's a comparison of the different estimates but there is but one estimate!)
1582	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
1583	>	TH1F *Bpredem = (TH1F*)LcorrJZBeemm->Clone("Bpredem");
1584	>	Bpredem->Add(RcorrJZBem);
1585	>	Bpredem->Add(LcorrJZBem,-1);
1586	>	TH1F *BpredSBem = (TH1F*)LcorrJZBeemm->Clone("BpredSBem");
1587	>	BpredSBem->Add(RcorrJZBSBem);
1588	>	Bpred->Add(LcorrJZBSBem,-1);
1589	>	TH1F *BpredSBeemm = (TH1F*)LcorrJZBeemm->Clone("BpredSBeemm");
1590	>	BpredSBeemm->Add(RcorrJZBSBeemm);
1591	>	BpredSBeemm->Add(LcorrJZBSBeemm,-1.0);
1592	>	globalcanvas->cd();
1593	>	globalcanvas->SetLogy(1);
1594	>
1595	>	RcorrJZBeemm->SetMarkerStyle(20);
1596	>	RcorrJZBeemm->GetXaxis()->SetRangeUser(0,high);
1597	>	blankback->Draw();
1598	>	RcorrJZBeemm->Draw("e1x0,same");
1599	>	RcorrJZBeemm->SetMarkerSize(DataMarkerSize);
1600	>
1601	>	Bpredem->SetLineColor(kRed+1);
1602	>	Bpredem->SetStats(0);
1603	>	Bpredem->Draw("hist,same");
1604	>
1605	>	BpredSBem->SetLineColor(kGreen+2);//TColor::GetColor("#0B6138"));
1606	>	BpredSBem->SetLineStyle(2);
1607	>	BpredSBem->Draw("hist,same");
1608	>
1609	>	BpredSBeemm->SetLineColor(kBlue+1);
1610	>	BpredSBeemm->SetLineStyle(3);
1611	>	BpredSBeemm->Draw("hist,same");
1612	>	RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1613	>
1614	>	TLegend *legBpredc = make_legend("",0.6,0.55);
1615	>	if(use_data==1)
1616	>	{
1617	>	legBpredc->AddEntry(RcorrJZBeemm,"observed","p");
1618	>	legBpredc->AddEntry(Bpredem,"OFZP","l");
1619	>	legBpredc->AddEntry(BpredSBem,"OFSB","l");
1620	>	legBpredc->AddEntry(BpredSBeemm,"SFSB","l");
1621	>	legBpredc->Draw();
1622	>	CompleteSave(globalcanvas,subdir+"Bpred_Data_comparison");
1623	>	}
1624	>	if(use_data==0) {
1625	>	legBpredc->AddEntry(RcorrJZBeemm,"MC true","p");
1626	>	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1627	>	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1628	>	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1629	>	legBpredc->Draw();
1630	>	CompleteSave(globalcanvas,subdir+"Bpred_MC_comparison");
1631	>	}
1632	>	if(use_data==2) {
1633	>	legBpredc->AddEntry(RcorrJZBeemm,"MC true","p");
1634	>	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1635	>	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1636	>	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1637	>	if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1638	>	legBpredc->Draw();
1639	>	CompleteSave(globalcanvas,subdir+"Bpred_MCwithS_comparison");
1640	>	}
1641		}
1642	+
1643	+	TFile *f = new TFile("tester.root","RECREATE");
1644	+	RcorrJZBeemm->Write();
1645	+	Bpred->Write();
1646	+	f->Close();
1647	+
1648		delete RcorrJZBeemm;
1649		delete LcorrJZBeemm;
1650		delete RcorrJZBem;
#	Line 1072 | Line 1657 | void do_prediction_plot(string jzb, TCan
1657
1658		delete blankback;
1659
1660	<	if(PlottingSetup::RestrictToMassPeak) {
1660	>	delete BpredSys;
1661	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
1662		delete RcorrJZBSBem;
1663		delete LcorrJZBSBem;
1664		delete RcorrJZBSBeemm;
#	Line 1084 | Line 1670 | void do_prediction_plot(string jzb, TCan
1670		delete JLcorrJZBSBeemm;
1671		}
1672		if(overlay_signal || use_data==2) delete lm4RcorrJZBeemm;
1673	+	switch_overunderflow(false);
1674		}
1675
1676		void do_prediction_plots(string mcjzb, string datajzb, float DataSigma, float MCSigma, bool overlay_signal ) {
1677		TCanvas *globalcanvas = new TCanvas("globalcanvas","Prediction Canvas");
1678	<	do_prediction_plot(datajzb,globalcanvas,DataSigma,jzbHigh ,data,overlay_signal);
1679	<	do_prediction_plot(mcjzb,globalcanvas,MCSigma,jzbHigh ,mc,overlay_signal);
1680	<	do_prediction_plot(mcjzb,globalcanvas,MCSigma,jzbHigh ,mcwithsignal,overlay_signal);
1678	>	do_prediction_plot(datajzb,globalcanvas,jzbHigh ,data,overlay_signal);
1679	>	if ( !PlottingSetup::Approved ) {
1680	>	do_prediction_plot(mcjzb,globalcanvas,jzbHigh ,mc,overlay_signal);
1681	>	do_prediction_plot(mcjzb,globalcanvas,jzbHigh ,mcwithsignal,overlay_signal);
1682	>	} else {
1683	>	write_info(__FUNCTION__,"You set approved to true, therefore not producing prediction/observation plots for MC with and without signal.");
1684	>	}
1685		}
1686
1687		void do_ratio_plot(int is_data,vector<float> binning, string jzb, TCanvas *can, float high=-9999) {
#	Line 1108 | Line 1699 | void do_ratio_plot(int is_data,vector<fl
1699		TH1F *RcorrJZBSBeemm;
1700		TH1F *LcorrJZBSbeemm;
1701
1702	<	if(PlottingSetup::RestrictToMassPeak) {
1702	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
1703		RcorrJZBSBem   = allsamples.Draw("RcorrJZBSbem",jzb.c_str(),binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,do_data, luminosity,dosignal);
1704		LcorrJZBSBem   = allsamples.Draw("LcorrJZBSbem",("-"+jzb).c_str(),binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,do_data, luminosity,dosignal);
1705		RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSbeemm",jzb.c_str(),binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,do_data, luminosity,dosignal);
#	Line 1120 | Line 1711 | void do_ratio_plot(int is_data,vector<fl
1711
1712		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1713		TH1F *Bpred = (TH1F*)LcorrJZBeemm->Clone("Bpred");
1714	<	if(PlottingSetup::RestrictToMassPeak) {
1714	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
1715		Bpred->Add(RcorrJZBem,1.0/3);
1716		Bpred->Add(LcorrJZBem,-1.0/3);
1717		Bpred->Add(RcorrJZBSBem,1.0/3);
#	Line 1427 | Line 2018 | void draw_pure_jzb_histo(TCut cut,string
2018		datahisto->Draw("same,e1");
2019
2020		TLegend *leg;
2021	<	if(is_OF(cut) && is_ZP(cut)) leg = allsamples.allbglegend("OFZP",datahisto);
2022	<	else if(!is_OF(cut) &&  is_ZP(cut)) leg = allsamples.allbglegend("SFZP",datahisto);
2023	<	else if( is_OF(cut) && !is_ZP(cut)) leg = allsamples.allbglegend("OFSB",datahisto);
2024	<	else if(!is_OF(cut) && !is_ZP(cut)) leg = allsamples.allbglegend("SFSB",datahisto);
2025	<	else {
2026	<	std::cerr << "Unable to decode cut: " << cut.GetTitle() << std::endl;
2027	<	exit(-1);
2028	<	}
2021	>	if (!PlottingSetup::RestrictToMassPeak||!PlottingSetup::UseSidebandsForcJZB) {
2022	>	if(is_OF(cut)) leg = allsamples.allbglegend("Opposite flavor",datahisto);
2023	>	else leg = allsamples.allbglegend("Same flavor",datahisto);
2024	>	} else {
2025	>	if(is_OF(cut) && is_ZP(cut)) leg = allsamples.allbglegend("OFZP",datahisto);
2026	>	else if(!is_OF(cut) &&  is_ZP(cut)) leg = allsamples.allbglegend("SFZP",datahisto);
2027	>	else if( is_OF(cut) && !is_ZP(cut)) leg = allsamples.allbglegend("OFSB",datahisto);
2028	>	else if(!is_OF(cut) && !is_ZP(cut)) leg = allsamples.allbglegend("SFSB",datahisto);
2029	>	else {
2030	>	std::cerr << "Unable to decode cut: " << cut.GetTitle() << std::endl;
2031	>	exit(-1);
2032	>	}
2033	>	}
2034		leg->Draw();
2035		string write_cut = decipher_cut(cut,"");
2036		TText *writeline1 = write_cut_on_canvas(write_cut.c_str());
2037		writeline1->SetTextSize(0.035);
2038		writeline1->Draw();
2039	<	save_with_ratio(datahisto,mcstack,jzbpad->cd(),("jzb/"+savename));
2039	>	if(!Contains(savename,"Dibosons")) save_with_ratio(datahisto,mcstack,jzbpad->cd(),("jzb/"+savename));
2040	>	else save_with_ratio(datahisto,mcstack,jzbpad->cd(),savename);
2041		TPad *jzbpad2 = new TPad("jzbpad2","jzbpad2",0,0,1,1);
2042		jzbpad2->cd();
2043		jzbpad2->SetLogy(1);
#	Line 1455 | Line 2052 | void draw_pure_jzb_histo(TCut cut,string
2052		writeline1->SetTextSize(0.035);
2053		writeline1->Draw();
2054		DrawPrelim();
2055	<	save_with_ratio(datahisto,mcstack,jzbpad2->cd(),("jzb/PositiveSideOnly/"+savename+""));
2055	>	if(!Contains(savename,"Dibosons")) save_with_ratio(datahisto,mcstack,jzbpad2->cd(),("jzb/PositiveSideOnly/"+savename+""));
2056	>	else save_with_ratio(datahisto,mcstack,jzbpad2->cd(),(savename+"__PosOnly"));
2057		datahisto->Delete();
2058		mcstack.Delete();
2059		}
#	Line 1463 | Line 2061 | void draw_pure_jzb_histo(TCut cut,string
2061		Double_t GausR(Double_t *x, Double_t *par) {
2062		return gRandom->Gaus(x[0],par[0]);
2063		}
2064	+
2065	+	void produce_stretched_jzb_plots(string mcjzb, string datajzb,vector<float> ratio_binning) {
2066	+	TCanvas *dican = new TCanvas("dican","JZB Plots Canvas");
2067	+	float max=jzbHigh ;
2068	+	float min=-120;
2069	+	int nbins=(int)((max-min)/5.0); // we want 5 GeV/bin
2070	+	int coarserbins=int(nbins/2.0);
2071	+	int rebinnedbins=int(nbins/4.0);
2072	+
2073	+	vector<float>binning;vector<float>coarse_binning;vector<float>coarsest_binning;
2074	+	for(int i=0;i<=nbins;i++)binning.push_back(min+i*(max-min)/((float)nbins));
2075	+	for(int i=0;i<=coarserbins;i++)coarse_binning.push_back(min+i*(max-min)/((float)coarserbins));
2076	+	for(int i=0;i<=rebinnedbins;i++)coarsest_binning.push_back(min+i*(max-min)/((float)rebinnedbins));
2077	+
2078	+	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_SFZP",dican,binning);
2079	+	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_OFZP",dican,binning);
2080	+	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"Dibosons/ee/jzb_OS_SFZP",dican,binning);
2081	+	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"Dibosons/mm/jzb_OS_SFZP",dican,binning);
2082	+	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"Dibosons/ee/jzb_OS_OFZP",dican,binning);
2083	+	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"Dibosons/mm/jzb_OS_OFZP",dican,binning);
2084	+	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_SFSB",dican,binning);
2085	+	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_OFSB",dican,binning);
2086	+
2087	+	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_SFZP_coarse",dican,coarse_binning);
2088	+	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_OFZP_coarse",dican,coarse_binning);
2089	+	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_SFSB_coarse",dican,coarse_binning);
2090	+	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_OFSB_coarse",dican,coarse_binning);
2091	+
2092	+	delete dican;
2093	+	}
2094	+
2095	+
2096	+	void diboson_plots(string mcjzb, string datajzb,vector<float> ratio_binning) {
2097	+	vector<int> SamplesToBeModified = allsamples.FindSampleBySampleName("WW/WZ/ZZ");
2098	+
2099	+	if(SamplesToBeModified.size()==0 || SamplesToBeModified[0]==-1) {
2100	+	write_error(__FUNCTION__,"Could not find any diboson samples - aborting diboson plots");
2101	+	return;
2102	+	}
2103
2104	+	float stretchfactor = 100.0;
2105	+	vector<string> labels;
2106	+
2107	+
2108	+	dout << "Going to increase the cross section for diboson samples ... " << endl;
2109	+	for(int i=0;i<(int)SamplesToBeModified.size();i++) {
2110	+	float origxs=(allsamples.collection)[SamplesToBeModified[i]].xs;
2111	+	(allsamples.collection)[SamplesToBeModified[i]].xs=origxs*stretchfactor;
2112	+	dout << "     Increased xs for sample " << (allsamples.collection)[SamplesToBeModified[i]].filename << " from " << origxs << " to " << (allsamples.collection)[SamplesToBeModified[i]].xs << " (by a factor of " << stretchfactor << ")" << endl;
2113	+	labels.push_back((allsamples.collection)[SamplesToBeModified[i]].samplename);
2114	+	(allsamples.collection)[SamplesToBeModified[i]].samplename=any2string(int(stretchfactor))+" x "+(allsamples.collection)[SamplesToBeModified[i]].samplename;
2115	+	dout << "         (also renamed it to " << (allsamples.collection)[SamplesToBeModified[i]].samplename << " )" << endl;
2116	+	}
2117	+
2118	+	dout << "Going to produce JZB plots" << endl;
2119	+	produce_stretched_jzb_plots(mcjzb,datajzb,ratio_binning);
2120	+	TCanvas *gloca = new TCanvas("gloca","gloca");
2121	+
2122	+	dout << "Going to produce prediction plots" << endl;
2123	+	do_prediction_plot(mcjzb, gloca, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do only MC plots, no signal
2124	+	do_prediction_plot(mcjzb, gloca, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do MC plots with signal
2125	+	delete gloca;
2126	+
2127	+	dout << "Going to reset the cross section for diboson samples ... " << endl;
2128	+	for(int i=0;i<(int)SamplesToBeModified.size();i++) {
2129	+	float Upxs=(allsamples.collection)[SamplesToBeModified[i]].xs;
2130	+	(allsamples.collection)[SamplesToBeModified[i]].xs=(allsamples.collection)[SamplesToBeModified[i]].xs*(1.0/stretchfactor);
2131	+	string Upname=(allsamples.collection)[SamplesToBeModified[i]].samplename;
2132	+	(allsamples.collection)[SamplesToBeModified[i]].samplename=labels[i];
2133	+	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;
2134	+
2135	+	}
2136	+
2137	+	}
2138	+
2139	+
2140	+	void draw_normalized_data_vs_data_histo(TCut cut1, TCut cut2, string variable, string legentry1, string legentry2, string savename, TCanvas *can,vector<float> binning) {
2141	+	TPad *jzbpad = new TPad("jzbpad","jzbpad",0,0,1,1);
2142	+	jzbpad->cd();
2143	+	jzbpad->SetLogy(1);
2144	+	string xlabel="JZB [GeV]";
2145	+
2146	+	TH1F *datahisto1 = allsamples.Draw("datahisto1",variable,binning, xlabel, "events",cut1,data,luminosity);
2147	+	datahisto1->SetLineColor(kRed);
2148	+	datahisto1->SetMarkerColor(kRed);
2149	+	TH1F *datahisto2 = allsamples.Draw("datahisto2",variable,binning, xlabel, "events",cut2,data,luminosity);
2150	+	datahisto2->SetLineColor(kBlue);
2151	+	datahisto2->SetMarkerColor(kBlue);
2152	+
2153	+	datahisto2->SetMarkerSize(DataMarkerSize);
2154	+	datahisto1->DrawNormalized("e1");
2155	+	datahisto2->DrawNormalized("histo,same");
2156	+	datahisto1->DrawNormalized("same,e1");
2157	+
2158	+	TLegend *leg = make_legend();
2159	+	leg->AddEntry(datahisto1,legentry1.c_str());
2160	+	leg->AddEntry(datahisto2,legentry2.c_str());
2161	+	leg->Draw();
2162	+
2163	+	save_with_ratio(datahisto1,datahisto2,jzbpad->cd(),("jzb/"+savename));
2164	+
2165	+	datahisto1->Delete();
2166	+	datahisto2->Delete();
2167	+	}
2168	+
2169	+
2170		void jzb_plots(string mcjzb, string datajzb,vector<float> ratio_binning) {
2171		TCanvas *can = new TCanvas("can","JZB Plots Canvas");
2172		float max=jzbHigh ;
#	Line 1477 | Line 2180 | void jzb_plots(string mcjzb, string data
2180		for(int i=0;i<=coarserbins;i++)coarse_binning.push_back(min+i*(max-min)/((float)coarserbins));
2181		for(int i=0;i<=rebinnedbins;i++)coarsest_binning.push_back(min+i*(max-min)/((float)rebinnedbins));
2182
2183	<	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP",can,binning);
2184	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP",can,binning);
2185	<	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_SFZP",can,binning);
2186	<	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_SFZP",can,binning);
2187	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_OFZP",can,binning);
2188	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_OFZP",can,binning);
2189	<	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
2190	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB",can,binning);
2191	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB",can,binning);
2183	>	if ( !PlottingSetup::Approved ) {
2184	>	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP",can,binning);
2185	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP",can,binning);
2186	>	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_SFZP",can,binning);
2187	>	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_SFZP",can,binning);
2188	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_OFZP",can,binning);
2189	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_OFZP",can,binning);
2190	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
2191	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB",can,binning);
2192	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB",can,binning);
2193	>	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);
2194	>	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);
2195	>	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);
2196	>
2197	>	}
2198
2199		draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP_coarse",can,coarse_binning);
2200	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP_coarse",can,coarse_binning);
2201	<	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
2202	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB_coarse",can,coarse_binning);
2203	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB_coarse",can,coarse_binning);
2204	<
2205	<	//  draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP_coarsest",can,coarsest_binning);
2206	<	//  draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP_coarsest",can,coarsest_binning);
1498	<	//  flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1499	<	//  if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB_coarsest",can,coarsest_binning);
1500	<	//  if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB_coarsest",can,coarsest_binning);
2200	>	if ( !PlottingSetup::Approved ) {
2201	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP_coarse",can,coarse_binning);
2202	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
2203	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB_coarse",can,coarse_binning);
2204	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB_coarse",can,coarse_binning);
2205	>	}
2206	>	delete can;
2207		}
2208
2209
#	Line 1547 | Line 2253 | void compute_MC_yields(string mcjzb,vect
2253		TCanvas *yica = new TCanvas("yica","yield canvas");
2254
2255		int nRegions=4;
2256	<	if(!PlottingSetup::RestrictToMassPeak) nRegions=2;
2256	>	if(!PlottingSetup::RestrictToMassPeak||!PlottingSetup::UseSidebandsForcJZB) nRegions=2;
2257		string tsRegions[] = {"SFZP","OFZP","SFSB","OFSB"};
2258		string posneg[] = {"pos","neg"};
2259		TCut tkRegions[] = {cutOSSF&&cutnJets&&cutmass,cutOSOF&&cutnJets&&cutmass,cutOSSF&&cutnJets&&sidebandcut,cutOSOF&&cutnJets&&sidebandcut};
2260
2261	<	for(int ijzb=0;ijzb<jzb_cuts.size();ijzb++) {
2261	>	for(int ijzb=0;ijzb<(int)jzb_cuts.size();ijzb++) {
2262		TCut jzbMC[]  = { give_jzb_expression(mcjzb,jzb_cuts[ijzb],"pos"), give_jzb_expression(mcjzb,jzb_cuts[ijzb],"neg") };
2263		dout << "_________________________________________________________" << endl;
2264		dout << "Table for JZB> " << jzb_cuts[ijzb] << endl;
2265	<	for(int isample=0;isample<(allsamples.collection).size();isample++) {
2265	>	for(int isample=0;isample<(int)(allsamples.collection).size();isample++) {
2266		if(!(allsamples.collection)[isample].is_data) dout << (allsamples.collection)[isample].samplename << "  &  ";
2267		else dout << "Sample & ";
2268		for(int iregion=0;iregion<nRegions;iregion++) {
#	Line 1815 | Line 2521 | void draw_ttbar_and_zjets_shape_for_one_
2521
2522		void draw_ttbar_and_zjets_shape(string mcjzb, string datajzb) {
2523		int all_leptons=-1;
1818	–	int electrons_only=0;
1819	–	int mu_only=1;
1820	–	int twojetswith50gev=1;
2524		int threejetswith30gev=0;
2525		/*
2526	+	int twojetswith50gev=1;
2527	+	int electrons_only=0;
2528	+	int mu_only=1;
2529	+
2530		draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,all_leptons,twojetswith50gev);
2531		draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,all_leptons,threejetswith30gev);
2532
#	Line 1833 | Line 2540 | void draw_ttbar_and_zjets_shape(string m
2540		draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,all_leptons,threejetswith30gev,true);
2541		}
2542
2543	<	void find_correction_factors(string &jzbvardata,string &jzbvarmc) {
1837	<	//first: colorful plots
2543	>	float find_one_correction_factor(string FindKeyword, bool dodata, TCut SpecialCut, string SaveAs) {
2544		TCanvas *cancorr = new TCanvas("cancorr","Canvas for Response Correction");
2545		cancorr->SetLogz();
2546		cancorr->SetRightMargin(0.13);
2547	<	flag_this_change(__FUNCTION__,__LINE__,false);//PlottingSetup::RestrictToMassPeak
2548	<	TCut zptforresponsepresentation("pt<600"&&cutmass&&cutOSSF&&"((sumJetPt[1]/pt)<5.0)");
2547	>	TCut zptforresponsepresentation(Restrmasscut&&SpecialCut&&passtrig);
2548	>
2549	>	if(PlottingSetup::DoBTag) zptforresponsepresentation=zptforresponsepresentation&&PlottingSetup::bTagRequirement;
2550		TH2F *niceresponseplotd = new TH2F("niceresponseplotd","",100,0,600,100,0,5);
2551	<	(allsamples.collection)[allsamples.FindSample("Data")[0]].events->Draw("sumJetPt[1]/pt:pt>>niceresponseplotd",zptforresponsepresentation);
2551	>	niceresponseplotd->Sumw2();
2552	>	TH2F* emuResponse = (TH2F*)niceresponseplotd->Clone("emuResponse");
2553	>	vector<int> SampleIndices=allsamples.FindSample(FindKeyword);
2554	>	for(int iSample=0;iSample<(int)SampleIndices.size();iSample++) {
2555	>	if((allsamples.collection)[SampleIndices[iSample]].is_data && !dodata) continue;
2556	>	if((allsamples.collection)[SampleIndices[iSample]].is_data ==false && dodata) continue;
2557	>
2558	>	dout << "   Response correction : Using sample " << (allsamples.collection)[SampleIndices[iSample]].filename << " for " << FindKeyword << endl;
2559	>	(allsamples.collection)[SampleIndices[iSample]].events->Draw("sumJetPt[1]/pt:pt>>+niceresponseplotd",(zptforresponsepresentation&&cutOSSF)*cutWeight);
2560	>	(allsamples.collection)[SampleIndices[iSample]].events->Draw("sumJetPt[1]/pt:pt>>+emuResponse",(zptforresponsepresentation&&cutOSOF)*cutWeight);
2561	>	}
2562	>	niceresponseplotd->Add(emuResponse,-1);
2563	>
2564		niceresponseplotd->SetStats(0);
2565		niceresponseplotd->GetXaxis()->SetTitle("Z p_{T} [GeV]");
2566		niceresponseplotd->GetYaxis()->SetTitle("Response");
#	Line 1849 | Line 2568 | void find_correction_factors(string &jzb
2568		niceresponseplotd->GetYaxis()->CenterTitle();
2569		niceresponseplotd->Draw("COLZ");
2570		TProfile * profd = (TProfile*)niceresponseplotd->ProfileX();
2571	+	profd->Rebin(2);
2572		profd->SetMarkerSize(DataMarkerSize);
2573	<	profd->Fit("pol0","","same,e1",30,400);
2573	>	profd->Fit("pol0","","same,e1",100,400);
2574		DrawPrelim();
2575	<	TText* title = write_text(0.5,0.7,"Data");
2575	>	string stitle="Data";
2576	>	if(!Contains(FindKeyword,"Data")) stitle="MC";
2577	>	TText* title = write_text(0.5,0.7,stitle.c_str());
2578		title->SetTextAlign(12);
2579		title->Draw();
2580		TF1 *datapol=(TF1*)profd->GetFunction("pol0");
2581	<	float datacorrection=datapol->GetParameter(0);
2582	<	stringstream dataresstring;
2583	<	dataresstring<<"Response: "<<std::setprecision(2)<<100*datacorrection<<" %";
2584	<	TText* restitle = write_text(0.5,0.65,dataresstring.str());
2581	>	float correction=datapol->GetParameter(0);
2582	>	stringstream resstring;
2583	>	resstring<<"Response: "<<std::setprecision(2)<<100*correction<<" %";
2584	>	TText* restitle = write_text(0.5,0.65,resstring.str());
2585		restitle->SetTextAlign(12);
2586		restitle->SetTextSize(0.03);
2587		restitle->Draw();
2588	<	CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_Data");
2589	<
2590	<	TH2F *niceresponseplotm = new TH2F("niceresponseplotm","",100,0,600,100,0,5);
2591	<	(allsamples.collection)[allsamples.FindSample("DY")[0]].events->Draw("sumJetPt[1]/pt:pt>>niceresponseplotm",zptforresponsepresentation);
2592	<	niceresponseplotm->SetStats(0);
2593	<	niceresponseplotm->GetXaxis()->SetTitle("Z p_{T} [GeV]");
2594	<	niceresponseplotm->GetYaxis()->SetTitle("Response");
2595	<	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");
2588	>	CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_New_"+SaveAs);
2589	>	delete cancorr;
2590	>	delete niceresponseplotd;
2591	>	delete profd;
2592	>	return correction;
2593	>	}
2594	>
2595	>	void find_correction_factors(string &jzbvardata,string &jzbvarmc) {
2596
2597	+	dout << "Computing response corrections: " << endl;
2598	+	//Step 1 : Get results
2599	+	float datacorrection=find_one_correction_factor("Data",true,"","Data");
2600	+	float mccorrection=find_one_correction_factor("DY",false,"","MC");
2601	+
2602	+	float dataEEcorrection=find_one_correction_factor("Data",true,"id1==0","Data_ee");
2603	+	float mcEEcorrection=find_one_correction_factor("DY",false,"id1==0","MC_ee");
2604	+
2605	+	float dataMMcorrection=find_one_correction_factor("Data",true,"id1==1","Data_mm");
2606	+	float mcMMcorrection=find_one_correction_factor("DY",false,"id1==1","MC_mm");
2607	+
2608	+	cout << "Corrections : " << endl;
2609	+	cout << "   Data : " << datacorrection << endl;
2610	+	cout << "     ee (" << dataEEcorrection << ") , mm (" << dataMMcorrection << ")" << endl;
2611	+	cout << "   MC : " << mccorrection << endl;
2612	+	cout << "     ee (" << mcEEcorrection << ") , mm (" << mcMMcorrection << ")" << endl;
2613
2614	<	//Step 2: Getting the result
1896	<	//  TCut zptcutforresponse("pt>30&&pt<300&&TMath::Abs(91.2-mll)<20&&id1==id2&&(ch1*ch2<0)");
2614	>	//Step 2: Processing the result and making it into something useful :-)
2615		stringstream jzbvardatas;
2616	<	if(datacorrection>1) jzbvardatas<<"(jzb[1]-"<<datacorrection-1<<"*pt)";
2617	<	if(datacorrection<1) jzbvardatas<<"(jzb[1]+"<<1-datacorrection<<"*pt)";
2616	>	jzbvardatas << "(";
2617	>
2618	>	if(dataEEcorrection>=1) jzbvardatas<<"((id1==0&&id1==id2)*(jzb[1]-" << dataEEcorrection-1 << "*pt))";
2619	>	if(dataEEcorrection<1)  jzbvardatas<<"((id1==0&&id1==id2)*(jzb[1]+" << 1-dataEEcorrection << "*pt))";
2620	>
2621	>	if(dataMMcorrection>=1) jzbvardatas<<"+((id1==1&&id1==id2)*(jzb[1]-" << dataMMcorrection-1 << "*pt))";
2622	>	if(dataMMcorrection<1)  jzbvardatas<<"+((id1==1&&id1==id2)*(jzb[1]+" << 1-dataMMcorrection << "*pt))";
2623	>
2624	>	float averagecorrection=(dataMMcorrection+dataEEcorrection)/2.0;
2625	>
2626	>	if(datacorrection>=1) jzbvardatas<<"+((id1!=id2)*(jzb[1]-" << datacorrection-1 << "*pt))";
2627	>	if(datacorrection<1) jzbvardatas<<"+((id1!=id2)*(jzb[1]+" << 1-datacorrection << "*pt))";
2628	>
2629	>	jzbvardatas << ")";
2630		jzbvardata=jzbvardatas.str();
2631	+
2632		stringstream jzbvarmcs;
2633	<	if(mccorrection>1) jzbvarmcs<<"(jzb[1]-"<<mccorrection-1<<"*pt)";
2634	<	if(mccorrection<1) jzbvarmcs<<"(jzb[1]+"<<1-mccorrection<<"*pt)";
2633	>	jzbvarmcs << "(";
2634	>
2635	>	if(mcEEcorrection>=1) jzbvarmcs<<"((id1==0&&id1==id2)*(jzb[1]-" << mcEEcorrection-1 << "*pt))";
2636	>	if(mcEEcorrection<1)  jzbvarmcs<<"((id1==0&&id1==id2)*(jzb[1]+" << 1-mcEEcorrection << "*pt))";
2637	>
2638	>	if(mcMMcorrection>=1) jzbvarmcs<<"+((id1==1&&id1==id2)*(jzb[1]-" << mcMMcorrection-1 << "*pt))";
2639	>	if(mcMMcorrection<1)  jzbvarmcs<<"+((id1==1&&id1==id2)*(jzb[1]+" << 1-mcMMcorrection << "*pt))";
2640	>
2641	>	float averagemccorrection=(mcMMcorrection+mcEEcorrection)/2.0;
2642	>
2643	>	if(mccorrection>=1) jzbvarmcs<<"+((id1!=id2)*(jzb[1]-" << mccorrection-1 << "*pt))";
2644	>	if(mccorrection<1) jzbvarmcs<<"+((id1!=id2)*(jzb[1]+" << 1-mccorrection << "*pt))";
2645	>
2646	>	jzbvarmcs << ")";
2647		jzbvarmc=jzbvarmcs.str();
2648	+
2649		dout << "JZB Z pt correction summary : " << endl;
2650		dout << "  Data: The response is " << datacorrection << "  --> jzb variable is now : " << jzbvardata << endl;
2651		dout << "  MC  : The response is " << mccorrection << "  --> jzb variable is now : " << jzbvarmc << endl;
2652	+
2653		}
2654
2655		void pick_up_events(string cut) {
#	Line 1912 | Line 2657 | void pick_up_events(string cut) {
2657		allsamples.PickUpEvents(cut);
2658		}
2659
2660	<	void save_template(string mcjzb, string datajzb,vector<float> jzb_cuts,float MCPeakError) {
2660	>	void save_template(string mcjzb, string datajzb,vector<float> jzb_cuts,float MCPeakError,float DataPeakError, vector<float> jzb_shape_limit_bins) {
2661		dout << "Saving configuration template!" << endl;
2662		ofstream configfile;
2663		configfile.open("../DistributedModelCalculations/last_configuration.C");
#	Line 1932 | Line 2677 | void save_template(string mcjzb, string
2677		configfile<<"string datajzb=\"datajzb_ERROR\";\n";
2678		configfile<<"string mcjzb=\"mcjzb_ERROR\";\n";
2679		configfile<<"vector<float>jzb_cuts;\n";
2680	+	configfile<<"vector<float>jzb_shape_limit_bins;\n";
2681		configfile<<"float MCPeakError=-999;\n";
2682	+	configfile<<"float DataPeakError=-999;\n";
2683		configfile<<"}\n\n";
2684
2685		configfile<<"void read_config() {\n";
2686		configfile<<"datajzb=\""<<datajzb<<"\";\n";
2687		configfile<<"mcjzb=\""<<mcjzb<<"\";\n\n";
2688	<	configfile<<"\n\nMCPeakError="<<MCPeakError<<";\n\n";
2689	<	for(int i=0;i<jzb_cuts.size();i++) configfile<<"jzb_cuts.push_back("<<jzb_cuts[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2688	>	configfile<<"\n\nMCPeakError="<<MCPeakError<<";\n";
2689	>	configfile<<"DataPeakError="<<DataPeakError<<";\n\n";
2690	>	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";
2691	>	configfile<<"\n\n";
2692	>	for(int i=0;i<(int)Nobs.size();i++) configfile<<"Nobs.push_back("<<Nobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2693	>	for(int i=0;i<(int)Npred.size();i++) configfile<<"Npred.push_back("<<Npred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2694	>	for(int i=0;i<(int)Nprederr.size();i++) configfile<<"Nprederr.push_back("<<Nprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2695		configfile<<"\n\n";
2696	<	for(int i=0;i<Nobs.size();i++) configfile<<"Nobs.push_back("<<Nobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2697	<	for(int i=0;i<Npred.size();i++) configfile<<"Npred.push_back("<<Npred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2698	<	for(int i=0;i<Nprederr.size();i++) configfile<<"Nprederr.push_back("<<Nprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2696	>	for(int i=0;i<(int)flippedNobs.size();i++) configfile<<"flippedNobs.push_back("<<flippedNobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2697	>	for(int i=0;i<(int)flippedNpred.size();i++) configfile<<"flippedNpred.push_back("<<flippedNpred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2698	>	for(int i=0;i<(int)flippedNprederr.size();i++) configfile<<"flippedNprederr.push_back("<<flippedNprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2699	>	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";
2700		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";
2701		configfile<<"\n\n";
2702		configfile<<"luminosity="<<luminosity<<";\n";
2703	+	configfile<<"RestrictToMassPeak="<<RestrictToMassPeak<<";//defines the type of analysis we're running\n";
2704	+	configfile<<"UseSidebandsForcJZB="<<UseSidebandsForcJZB<<";//tells us whether to use the sidebands or not\n";
2705
2706		configfile<<"\n\ncout << \"Configuration successfully loaded!\" << endl; \n \n } \n \n";
2707
#	Line 1972 | Line 2724 | void draw_all_ttbar_histos(TCanvas *can,
2724		float max=histos[0]->GetMaximum();
2725		if(manualmin>=0) min=manualmin;
2726		else {
2727	<	for(int i=1;i<histos.size();i++) {
2727	>	for(int i=1;i<(int)histos.size();i++) {
2728		float curmin=get_nonzero_minimum(histos[i]);
2729		float curmax=histos[i]->GetMaximum();
2730		if(curmin<min) min=curmin;
#	Line 1983 | Line 2735 | void draw_all_ttbar_histos(TCanvas *can,
2735		histos[0]->Draw(drawoption.c_str());
2736		stringstream drawopt;
2737		drawopt << drawoption << ",same";
2738	<	for(int i=1;i<histos.size();i++) {
2738	>	for(int i=1;i<(int)histos.size();i++) {
2739		histos[i]->Draw(drawopt.str().c_str());
2740		}
2741		}
#	Line 1992 | Line 2744 | void ttbar_sidebands_comparison(string m
2744		//in the case of the on peak analysis, we compare the 3 control regions to the real value
2745		//in the case of the OFF peak analysis, we compare our control region to the real value
2746		TCut weightbackup=cutWeight;
1995	–	cutWeight="1.0";
1996	–	float simulatedlumi = luminosity; //in pb please - adjust to your likings
2747
2748	+	bool doPURW=false;
2749	+
2750	+
2751	+	if(!doPURW) {
2752	+	dout << "Not doing PU reweighting for ttbar closure test" << endl;
2753	+	cutWeight="1.0";
2754	+	// Do it without PU re-weighting
2755	+	float MCPeakNoPU=0,MCPeakErrorNoPU=0,DataPeakNoPU=0,DataPeakErrorNoPU=0,MCSigma=0,DataSigma=0;
2756	+	stringstream resultsNoPU;
2757	+	stringstream noPUdatajzb;
2758	+	stringstream noPUmcjzb;
2759	+
2760	+	stringstream mcjzbnoPU;
2761	+	find_peaks(MCPeakNoPU,MCPeakErrorNoPU, DataPeakNoPU, DataPeakErrorNoPU,resultsNoPU,true,noPUdatajzb,noPUmcjzb);
2762	+	mcjzb = noPUmcjzb.str();
2763	+	}
2764	+
2765	+
2766	+	float simulatedlumi = luminosity; //in pb please - adjust to your likings
2767
2768	<	TH1F *TZem = systsamples.Draw("TZem",mcjzb,binning,"JZB [GeV]","events",cutmass&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2768	>	TH1F *TZem  = systsamples.Draw("TZem",     mcjzb,binning,"JZB [GeV]","events",cutmass&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2769		TH1F *nTZem = systsamples.Draw("nTZem","-"+mcjzb,binning,"JZB [GeV]","events",cutmass&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2770		TH1F *TSem;
2771		TH1F *nTSem;
2772	<	TH1F *TZeemm = systsamples.Draw("TZeemm",mcjzb,binning,"JZB [GeV]","events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2772	>	TH1F *TZeemm  = systsamples.Draw("TZeemm",     mcjzb,binning,"JZB [GeV]","events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2773		TH1F *nTZeemm = systsamples.Draw("nTZeemm","-"+mcjzb,binning,"JZB [GeV]","events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2774		TH1F *TSeemm;
2775		TH1F *nTSeemm;
2776
2777	<	if(PlottingSetup::RestrictToMassPeak) {
2778	<	TSem = systsamples.Draw("TSem",mcjzb,binning,"JZB [GeV]","events",sidebandcut&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2779	<	nTSem = systsamples.Draw("nTSem","-"+mcjzb,binning,"JZB [GeV]","events",sidebandcut&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2780	<	TSeemm = systsamples.Draw("TSeemm",mcjzb,binning,"JZB [GeV]","events",sidebandcut&&cutOSSF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2777	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2778	>	TSem    = systsamples.Draw("TSem",       mcjzb,binning,"JZB [GeV]","events",sidebandcut&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2779	>	nTSem   = systsamples.Draw("nTSem",  "-"+mcjzb,binning,"JZB [GeV]","events",sidebandcut&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2780	>	TSeemm  = systsamples.Draw("TSeemm",     mcjzb,binning,"JZB [GeV]","events",sidebandcut&&cutOSSF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2781		nTSeemm = systsamples.Draw("nTSeemm","-"+mcjzb,binning,"JZB [GeV]","events",sidebandcut&&cutOSSF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2782		}
2783
2784		TCanvas *tcan = new TCanvas("tcan","tcan");
2016	–
2785		tcan->SetLogy(1);
2786
2787		TZeemm->SetLineColor(kBlack);
#	Line 2022 | Line 2790 | void ttbar_sidebands_comparison(string m
2790		TZem->SetMarkerColor(kRed);
2791
2792
2793	<	if(PlottingSetup::RestrictToMassPeak) {
2793	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2794		TSem->SetLineColor(TColor::GetColor("#00A616"));
2795		TSeemm->SetLineColor(kMagenta+2);
2796		TSem->SetMarkerColor(TColor::GetColor("#00A616"));
#	Line 2032 | Line 2800 | void ttbar_sidebands_comparison(string m
2800		}
2801
2802		vector<TH1F*> histos;
2803	+	TZem->GetXaxis()->SetRangeUser(-100,binning[binning.size()-1]);
2804	+	TZeemm->GetXaxis()->SetRangeUser(-100,binning[binning.size()-1]);
2805		histos.push_back(TZem);
2806		histos.push_back(TZeemm);
2807	<	if(PlottingSetup::RestrictToMassPeak) {
2807	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2808	>	TSeemm->GetXaxis()->SetRangeUser(-100,binning[binning.size()-1]);
2809	>	TSem->GetXaxis()->SetRangeUser(-100,binning[binning.size()-1]);
2810		histos.push_back(TSem);
2811		histos.push_back(TSeemm);
2812		}
2813	<	draw_all_ttbar_histos(tcan,histos,"histo",0.04);
2813	>	draw_all_ttbar_histos(tcan,histos,"histo",1);
2814
2815		TLegend *leg = make_legend("MC t#bar{t}",0.6,0.65,false);
2816		leg->AddEntry(TZeemm,"SFZP","l");
2817		leg->AddEntry(TZem,"OFZP","l");
2818	<	if(PlottingSetup::RestrictToMassPeak) {
2818	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2819		leg->AddEntry(TSeemm,"SFSB","l");
2820		leg->AddEntry(TSem,"OFSB","l");
2821		}
2822		leg->Draw("same");
2823		DrawMCPrelim(simulatedlumi);
2824		CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_shape_comparison");
2053	–
2825		TH1F *TZemcopy = (TH1F*)TZem->Clone("TZemcopy");
2826		TH1F *TZeemmcopy = (TH1F*)TZeemm->Clone("TZeemmcopy");
2827	<	TH1F *TSeemmcopy = (TH1F*)TSeemm->Clone("TSeemmcopy");
2828	<	TH1F *TSemcopy = (TH1F*)TSem->Clone("TSemcopy");
2827	>	TH1F *TSeemmcopy;
2828	>	TH1F *TSemcopy;
2829	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2830	>	TSeemmcopy = (TH1F*)TSeemm->Clone("TSeemmcopy");
2831	>	TSemcopy = (TH1F*)TSem->Clone("TSemcopy");
2832	>	}
2833
2834		TZem->Divide(TZeemm);
2835		TZem->SetMarkerStyle(21);
2836	<	if(PlottingSetup::RestrictToMassPeak) {
2836	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2837		TSem->Divide(TZeemm);
2838		TSeemm->Divide(TZeemm);
2839		TSem->SetMarkerStyle(24);
2840		TSeemm->SetMarkerStyle(32);
2841	<	}
2841	>	}
2842
2843		tcan->SetLogy(0);
2844		TZem->GetYaxis()->SetRangeUser(0,2.5);
2845		TZem->GetYaxis()->SetTitle("ratio");
2846		TZem->Draw();
2847	<	if(PlottingSetup::RestrictToMassPeak) {
2847	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2848		TSem->Draw("same");
2849		TSeemm->Draw("same");
2850		}
2851
2852	<	float linepos=0.25;
2853	<	if(PlottingSetup::RestrictToMassPeak) linepos=0.25;
2852	>	float linepos=emuncertONPEAK;
2853	>	if(!PlottingSetup::RestrictToMassPeak) linepos=emuncertOFFPEAK;
2854	>
2855		TLine *top = new TLine(binning[0],1.0+linepos,binning[binning.size()-1],1.0+linepos);
2856		TLine *center = new TLine(binning[0],1.0,binning[binning.size()-1],1.0);
2857		TLine *bottom = new TLine(binning[0],1.0-linepos,binning[binning.size()-1],1.0-linepos);
2858
2859	+	/*write_warning(__FUNCTION__,"These two lines are to be removed!");
2860	+	TLine *topalt = new TLine(binning[0],1.0+0.1,binning[binning.size()-1],1.0+0.1);
2861	+	TLine *bottomalt = new TLine(binning[0],1.0-0.1,binning[binning.size()-1],1.0-0.1);
2862	+	topalt->SetLineColor(kRed);topalt->SetLineStyle(3);
2863	+	bottomalt->SetLineColor(kRed);bottomalt->SetLineStyle(3);
2864	+	topalt->Draw("same");bottomalt->Draw("same");*/
2865	+
2866	+
2867		top->SetLineColor(kBlue);top->SetLineStyle(2);
2868		bottom->SetLineColor(kBlue);bottom->SetLineStyle(2);
2869		center->SetLineColor(kBlue);
#	Line 2090 | Line 2874 | void ttbar_sidebands_comparison(string m
2874
2875		TLegend *leg2 = make_legend("MC t#bar{t}",0.55,0.75,false);
2876		leg2->AddEntry(TZem,"OFZP / SFZP","ple");
2877	<	if(PlottingSetup::RestrictToMassPeak) {
2877	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2878		leg2->AddEntry(TSeemm,"SFSB / SFZP","ple");
2879		leg2->AddEntry(TSem,"OFSB / SFZP","ple");
2880		}
#	Line 2103 | Line 2887 | void ttbar_sidebands_comparison(string m
2887		DrawMCPrelim(simulatedlumi);
2888		CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_shape_comparison_ratio");
2889
2890	+	if (0) { // Turn this off: we don't need this
2891	+
2892	+	///-------------- second part: only look at the quantity we actually care about!
2893	+	TH1F *leftsfzp  = (TH1F*)nTZeemm->Clone("leftsfzp");
2894	+	TH1F *rightsfzp = (TH1F*)TZeemmcopy->Clone("rightsfzp");
2895	+	rightsfzp->Add(leftsfzp,-1);
2896	+	TH1F *leftofzp  = (TH1F*)nTZem->Clone("leftofzp");
2897	+	TH1F *rightofzp = (TH1F*)TZemcopy->Clone("rightofzp");
2898	+	rightofzp->Add(leftofzp,-1);
2899	+	TH1F *leftofsb;
2900	+	TH1F *rightofsb;
2901	+	TH1F *leftsfsb;
2902	+	TH1F *rightsfsb;
2903	+	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2904	+	leftofsb  = (TH1F*)nTSem->Clone("leftofsb");
2905	+	rightofsb = (TH1F*)TSemcopy->Clone("rightofsb");
2906	+	rightofsb->Add(leftofsb,-1);
2907	+	leftsfsb  = (TH1F*)nTSeemm->Clone("leftsfsb");
2908	+	rightsfsb = (TH1F*)TSeemmcopy->Clone("rightsfsb");
2909	+	rightsfsb->Add(leftsfsb,-1);
2910	+	}
2911
2912	+	tcan->SetLogy(1);
2913	+	rightsfzp->GetXaxis()->SetRangeUser(0,binning[binning.size()-1]);
2914	+	rightsfzp->GetYaxis()->SetTitle("#deltaJZB / 25 GeV");
2915	+	rightsfzp->Draw("histo");
2916	+	rightofzp->Draw("histo,same");
2917	+	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2918	+	rightofsb->Draw("histo,same");
2919	+	rightsfsb->Draw("histo,same");
2920	+	}
2921	+	DrawMCPrelim(simulatedlumi);
2922
2923	<	///-------------- second part: only look at the quantity we actually care about!
2924	<	TH1F *leftsfzp  = (TH1F*)nTZeemm->Clone("leftsfzp");
2925	<	TH1F *rightsfzp = (TH1F*)TZeemmcopy->Clone("rightsfzp");
2926	<	rightsfzp->Add(leftsfzp,-1);
2927	<	TH1F *leftofzp  = (TH1F*)nTZem->Clone("leftofzp");
2928	<	TH1F *rightofzp = (TH1F*)TZemcopy->Clone("rightofzp");
2929	<	rightofzp->Add(leftofzp,-1);
2930	<	TH1F *leftofsb;
2116	<	TH1F *rightofsb;
2117	<	TH1F *leftsfsb;
2118	<	TH1F *rightsfsb;
2119	<	if(PlottingSetup::RestrictToMassPeak) {
2120	<	leftofsb  = (TH1F*)nTSem->Clone("leftofsb");
2121	<	rightofsb = (TH1F*)TSemcopy->Clone("rightofsb");
2122	<	rightofsb->Add(leftofsb,-1);
2123	<	leftsfsb  = (TH1F*)nTSeemm->Clone("leftsfsb");
2124	<	rightsfsb = (TH1F*)TSeemmcopy->Clone("rightsfsb");
2125	<	rightsfsb->Add(leftsfsb,-1);
2126	<	}
2923	>	TLegend *legA = make_legend("MC t#bar{t}",0.6,0.65,false);
2924	>	legA->AddEntry(rightsfzp,"SFZP","l");
2925	>	legA->AddEntry(rightofzp,"OFZP","l");
2926	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2927	>	legA->AddEntry(rightofsb,"SFSB","l");
2928	>	legA->AddEntry(rightsfsb,"OFSB","l");
2929	>	}
2930	>	legA->Draw();
2931
2932	<	tcan->SetLogy(1);
2129	<	rightsfzp->GetXaxis()->SetRangeUser(0,binning[binning.size()-1]);
2130	<	rightsfzp->GetYaxis()->SetTitle("#deltaJZB / 25 GeV");
2131	<	rightsfzp->Draw("histo");
2132	<	rightofzp->Draw("histo,same");
2133	<	if(PlottingSetup::RestrictToMassPeak) {
2134	<	rightofsb->Draw("histo,same");
2135	<	rightsfsb->Draw("histo,same");
2136	<	}
2137	<	DrawMCPrelim(simulatedlumi);
2932	>	CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_deltajzb_comparison");
2933
2934	<	TLegend *legA = make_legend("MC t#bar{t}",0.6,0.65,false);
2935	<	legA->AddEntry(rightsfzp,"SFZP","l");
2936	<	legA->AddEntry(rightofzp,"OFZP","l");
2937	<	if(PlottingSetup::RestrictToMassPeak) {
2938	<	legA->AddEntry(rightofsb,"SFSB","l");
2939	<	legA->AddEntry(rightsfsb,"OFSB","l");
2940	<	}
2941	<	legA->Draw();
2934	>	tcan->SetLogy(0);
2935	>	rightofzp->Divide(rightsfzp);
2936	>	rightofzp->GetXaxis()->SetRangeUser(0.0,binning[binning.size()-1]);
2937	>	rightofzp->GetYaxis()->SetRangeUser(0.0,2.5);
2938	>	rightofzp->GetYaxis()->SetTitle("#deltaJZB ratio");
2939	>	rightofzp->Draw();
2940	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2941	>	rightofsb->Divide(rightsfzp);
2942	>	rightsfsb->Divide(rightsfzp);
2943	>	rightofsb->Draw("same");
2944	>	rightsfsb->Draw("same");
2945	>	}
2946
2947	<	CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_deltajzb_comparison");
2947	>	TLine *top2 = new TLine(0.0,1.0+linepos,binning[binning.size()-1],1.0+linepos);
2948	>	TLine *center2 = new TLine(0.0,1.0,binning[binning.size()-1],1.0);
2949	>	TLine *bottom2 = new TLine(0.0,1.0-linepos,binning[binning.size()-1],1.0-linepos);
2950	>
2951	>	top2->SetLineColor(kBlue);top2->SetLineStyle(2);
2952	>	bottom2->SetLineColor(kBlue);bottom2->SetLineStyle(2);
2953	>	center2->SetLineColor(kBlue);
2954	>
2955	>	top2->Draw("same");
2956	>	center2->Draw("same");
2957	>	bottom2->Draw("same");
2958	>
2959	>	rightofzp->SetMarkerStyle(21);
2960	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2961	>	rightofsb->SetMarkerStyle(24);
2962	>	rightsfsb->SetMarkerStyle(32);
2963	>	}
2964
2965	<	tcan->SetLogy(0);
2966	<	rightofzp->Divide(rightsfzp);
2967	<	rightofzp->GetXaxis()->SetRangeUser(0.0,binning[binning.size()-1]);
2968	<	rightofzp->GetYaxis()->SetRangeUser(0.0,2.0);
2969	<	rightofzp->GetYaxis()->SetTitle("#deltaJZB ratio");
2970	<	rightofzp->Draw();
2971	<	if(PlottingSetup::RestrictToMassPeak) {
2972	<	rightofsb->Divide(rightsfzp);
2973	<	rightsfsb->Divide(rightsfzp);
2159	<	rightofsb->Draw("same");
2160	<	rightsfsb->Draw("same");
2161	<	}
2162	<
2163	<	TLine *top2 = new TLine(0.0,1.0+linepos,binning[binning.size()-1],1.0+linepos);
2164	<	TLine *center2 = new TLine(0.0,1.0,binning[binning.size()-1],1.0);
2165	<	TLine *bottom2 = new TLine(0.0,1.0-linepos,binning[binning.size()-1],1.0-linepos);
2166	<
2167	<	top2->SetLineColor(kBlue);top2->SetLineStyle(2);
2168	<	bottom2->SetLineColor(kBlue);bottom2->SetLineStyle(2);
2169	<	center2->SetLineColor(kBlue);
2170	<
2171	<	top2->Draw("same");
2172	<	center2->Draw("same");
2173	<	bottom2->Draw("same");
2174	<
2175	<	rightofzp->SetMarkerStyle(21);
2176	<	if(PlottingSetup::RestrictToMassPeak) {
2177	<	rightofsb->SetMarkerStyle(24);
2178	<	rightsfsb->SetMarkerStyle(32);
2179	<	}
2180	<
2181	<	TLegend *leg3 = make_legend("MC t#bar{t}",0.55,0.75,false);
2182	<	leg3->AddEntry(rightofzp,"OFZP / SFZP","ple");
2183	<	if(PlottingSetup::RestrictToMassPeak) {
2184	<	leg3->AddEntry(rightsfsb,"SFSB / SFZP","ple");
2185	<	leg3->AddEntry(rightofsb,"OFSB / SFZP","ple");
2186	<	}
2187	<	leg3->AddEntry(bottom,"syst. envelope","l");
2188	<	leg3->SetX1(0.25);leg3->SetX2(0.6);
2189	<	leg3->SetY1(0.65);
2965	>	TLegend *leg3 = make_legend("MC t#bar{t}",0.55,0.75,false);
2966	>	leg3->AddEntry(rightofzp,"OFZP / SFZP","ple");
2967	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2968	>	leg3->AddEntry(rightsfsb,"SFSB / SFZP","ple");
2969	>	leg3->AddEntry(rightofsb,"OFSB / SFZP","ple");
2970	>	}
2971	>	leg3->AddEntry(bottom,"syst. envelope","l");
2972	>	leg3->SetX1(0.25);leg3->SetX2(0.6);
2973	>	leg3->SetY1(0.65);
2974
2975	<	leg3->Draw("same");
2975	>	leg3->Draw("same");
2976
2977	<	DrawMCPrelim(simulatedlumi);
2978	<	CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_deltajzb_comparison_ratio");
2977	>	DrawMCPrelim(simulatedlumi);
2978	>	CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_deltajzb_comparison_ratio");
2979	>
2980	>	}
2981
2982		delete TZem;
2983		delete nTZem;
2984		delete TZeemm;
2985		delete nTZeemm;
2986	<	if(PlottingSetup::RestrictToMassPeak) {
2986	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
2987		delete TSem;
2988		delete nTSem;
2989		delete TSeemm;
#	Line 2210 | Line 2996 | void ttbar_sidebands_comparison(string m
2996
2997		void ttbar_sidebands_comparison(string mcjzb, vector<float> jzb_binning) {
2998		vector<float> nicer_binning;
2999	<	nicer_binning.push_back(-125);
2999	>
3000	>	/*  nicer_binning.push_back(-400);
3001	>	nicer_binning.push_back(-250);
3002	>	nicer_binning.push_back(-200);
3003	>	nicer_binning.push_back(-150);
3004	>	nicer_binning.push_back(-100);
3005	>	nicer_binning.push_back(-50);
3006	>	nicer_binning.push_back(-20);
3007	>
3008	>	nicer_binning.push_back(0);
3009	>	nicer_binning.push_back(20);
3010	>	nicer_binning.push_back(50);
3011	>	nicer_binning.push_back(100);
3012	>	nicer_binning.push_back(150);
3013	>	nicer_binning.push_back(200);
3014	>	nicer_binning.push_back(250);
3015	>	nicer_binning.push_back(400);*/
3016	>
3017		nicer_binning.push_back(-100);
2215	–	nicer_binning.push_back(-75);
3018		nicer_binning.push_back(-50);
3019		nicer_binning.push_back(-25);
3020		nicer_binning.push_back(0);
#	Line 2222 | Line 3024 | void ttbar_sidebands_comparison(string m
3024		nicer_binning.push_back(100);
3025		nicer_binning.push_back(125);
3026		nicer_binning.push_back(150);
3027	<	nicer_binning.push_back(175);
3027	>	//nicer_binning.push_back(175);
3028		nicer_binning.push_back(200);
3029	<	nicer_binning.push_back(230);
3030	<	nicer_binning.push_back(280);
3029	>	nicer_binning.push_back(250);
3030	>	nicer_binning.push_back(300);
3031		nicer_binning.push_back(400);
3032	+
3033		ttbar_sidebands_comparison(mcjzb,nicer_binning, "ttbar/");
3034		}
3035
3036
3037	<	void zjets_prediction_comparison() {
3038	<	// Do it without PU re-weighting
3039	<	float MCPeakNoPU=0,MCPeakErrorNoPU=0,DataPeakNoPU=0,DataPeakErrorNoPU=0,MCSigma=0,DataSigma=0;
3040	<	stringstream resultsNoPU;
3041	<
3042	<	stringstream mcjzbnoPU;
3043	<	find_peaks(MCPeakNoPU,MCPeakErrorNoPU, DataPeakNoPU, DataPeakErrorNoPU,MCSigma,DataSigma,resultsNoPU,false);
3044	<	if(MCPeakNoPU>0) mcjzbnoPU<<"("<<jzbvariablemc<<"-"<<TMath::Abs(MCPeakNoPU)<<")";
3045	<	else mcjzbnoPU<<"("<<jzbvariablemc<<"+"<<TMath::Abs(MCPeakNoPU)<<")";
3037	>	void zjets_prediction_comparison(string mcjzbWithPUa) {
3038	>	TCanvas *zcan = new TCanvas("zcan","zcan");
3039	>	//  zcan->SetLogy(1);
3040	>	TCut weightbackup=cutWeight;
3041	>
3042	>	bool UsePURW=false;
3043	>
3044	>
3045	>	string mcjzb;
3046	>	if(UsePURW) {
3047	>	mcjzb=mcjzbWithPUa;
3048	>	} else {
3049	>	// Do it without PU re-weighting
3050	>	float MCPeakNoPU=0,MCPeakErrorNoPU=0,DataPeakNoPU=0,DataPeakErrorNoPU=0,MCSigma=0,DataSigma=0;
3051	>	stringstream resultsNoPU;
3052	>	stringstream noPUdatajzb;
3053	>	stringstream noPUmcjzb;
3054	>
3055	>	find_peaks(MCPeakNoPU,MCPeakErrorNoPU, DataPeakNoPU, DataPeakErrorNoPU,resultsNoPU,false,noPUdatajzb,noPUmcjzb);
3056	>	dout << "The peak corrected JZB expression for MC without pileup is : " <<  noPUmcjzb.str() << endl;
3057	>
3058	>	mcjzb = noPUmcjzb.str();
3059	>
3060	>	cutWeight="1.0";
3061	>	}
3062
3063	<	string mcjzb = mcjzbnoPU.str();
3064	<	dout << "The peak corrected JZB expression for MC without pileup is : " <<  mcjzb << endl;
3063	>
3064	>	vector<float> binning;
3065	>	binning.push_back(0);
3066	>	binning.push_back(10);
3067	>	binning.push_back(20);
3068	>	binning.push_back(40);
3069	>	binning.push_back(60);
3070	>	//   binning.push_back(50);
3071	>	//   binning.push_back(60);
3072	>	//   binning.push_back(70);
3073	>	//   binning.push_back(80);
3074	>	//   binning.push_back(90);
3075	>	binning.push_back(100);
3076
2247	–	TCut weightbackup=cutWeight;
2248	–	cutWeight="1.0";
2249	–	float sbg_min=0.;
2250	–	float sbg_max=100.;
2251	–	int sbg_nbins=5;
3077		float simulatedlumi = luminosity;//in pb please - adjust to your likings
3078
3079		TCut kPos((mcjzb+">0").c_str());
3080		TCut kNeg((mcjzb+"<0").c_str());
3081		string var( "abs("+mcjzb+")" );
3082	+
3083	+	TCut notTau("abs(genMID1)!=15");
3084	+	TCut ONLYTau("mll>20");
3085	+
3086
3087	<	TCut kcut(cutmass&&cutOSSF&&"pfJetGoodNum>2");
3088	<	TH1F *hJZBpos = systsamples.Draw("hJZBpos",var,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",
3089	<	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"));
3087	>	TH1F *hJZBpos = systsamples.Draw("hJZBpos",var,binning, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets&&notTau&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
3088	>	TH1F *hJZBneg = systsamples.Draw("hJZBneg",var,binning, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets&&notTau&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
3089	>
3090		hJZBpos->SetLineColor(kBlack);
3091		hJZBneg->SetLineColor(kRed);
3092
3093	<	Int_t nbins = 5;
2267	<	Float_t xmax = 100.;
2268	<
2269	<
2270	<	TCanvas *zcan = new TCanvas("zcan","zcan");
2271	<	zcan->SetLogy(1);
2272	<
3093	>	hJZBpos->SetMinimum(1.0);
3094		hJZBpos->Draw("e1");
3095		hJZBneg->Draw("same,hist");
3096		hJZBpos->Draw("same,e1"); // So it's on top...
3097
3098	<	TLegend *leg = make_legend("MC Z+jets",0.55,0.75,false);
3098	>	TLegend *leg = make_legend("MC Z+jets #rightarrow ee,#mu#mu",0.55,0.75,false);
3099		leg->AddEntry(hJZBpos,"Observed","pe");
3100		leg->AddEntry(hJZBneg,"Predicted","l");
3101		leg->Draw("same");
3102		DrawMCPrelim(simulatedlumi);
3103	<	CompleteSave(zcan,"Systematics/zjets_prediction");
3103	>	CompleteSave(zcan,"Systematics/ZJets/zjets_eemm_prediction");
3104
3105		TH1F* hratio = (TH1F*)hJZBpos->Clone("hratio");
3106		hratio->Divide(hJZBneg);
3107
3108	+	for(int i=1;i<=hJZBpos->GetNbinsX();i++) {
3109	+	cout << "Positive: " << hJZBpos->GetBinContent(i) << "   vs    Negative : " << hJZBneg->GetBinContent(i) << "   (ratio : " << hJZBpos->GetBinContent(i) / hJZBneg->GetBinContent(i) << endl;
3110	+	}
3111	+
3112		zcan->SetLogy(0);
3113	<	hratio->GetYaxis()->SetRangeUser(0,2.5);
3113	>	hratio->GetYaxis()->SetRangeUser(0,2.0);
3114		hratio->GetYaxis()->SetTitle("Observed/Predicted");
3115		hratio->Draw("e1");
3116
3117	<	TLine *top = new TLine(sbg_min,1.25,sbg_max,1.25);
3118	<	TLine *center = new TLine(sbg_min,1.0,sbg_max,1.0);
3119	<	TLine *bottom = new TLine(sbg_min,0.75,sbg_max,0.75);
3117	>	TLine *top = new TLine(binning[0],1.25,binning[binning.size()-1],1.25);
3118	>	TLine *center = new TLine(binning[0],1.0,binning[binning.size()-1],1.0);
3119	>	TLine *bottom = new TLine(binning[0],0.75,binning[binning.size()-1],0.75);
3120
3121
3122		top->SetLineColor(kBlue);top->SetLineStyle(2);
#	Line 2302 | Line 3127 | void zjets_prediction_comparison() {
3127		center->Draw("same");
3128		bottom->Draw("same");
3129
3130	<	TLegend *leg2 = make_legend("MC Z+jets",0.25,0.75,false);
3130	>	TLegend *leg2 = make_legend("MC Z+jets #rightarrow ee,#mu#mu",0.25,0.75,false);
3131		leg2->AddEntry(hratio,"obs / pred","pe");
3132		leg2->AddEntry(bottom,"syst. envelope","l");
3133		leg2->Draw("same");
3134		DrawMCPrelim(simulatedlumi);
3135	<	CompleteSave(zcan,"Systematics/zjets_prediction_ratio");
3135	>	CompleteSave(zcan,"Systematics/ZJets/zjets_eemm_prediction_ratio");
3136	>
3137	>	TCut reducedNJets(cutnJets);
3138	>
3139	>	TH1F *TAUhJZBpos = systsamples.Draw("TAUhJZBpos",var,binning, "JZB [GeV]", "events",cutmass&&cutOSSF&&reducedNJets&&ONLYTau&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
3140	>	TH1F *LcorrJZBeemm     = systsamples.Draw("LcorrJZBeemm",var,binning, "JZB [GeV]", "events",cutmass&&cutOSSF&&reducedNJets&&ONLYTau&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
3141	>	TH1F *RcorrJZBem       = systsamples.Draw("RcorrJZBem",var,binning, "JZB [GeV]", "events",cutmass&&cutOSOF&&reducedNJets&&ONLYTau&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
3142	>	TH1F *LcorrJZBem       = systsamples.Draw("LcorrJZBem",var,binning, "JZB [GeV]", "events",cutmass&&cutOSOF&&reducedNJets&&ONLYTau&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
3143	>
3144	>	TH1F *RcorrJZBSBem;
3145	>	TH1F *LcorrJZBSBem;
3146	>	TH1F *RcorrJZBSBeemm;
3147	>	TH1F *LcorrJZBSBeemm;
3148	>
3149	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
3150	>	RcorrJZBSBem   = systsamples.Draw("RcorrJZBSBem",var,binning, "JZB [GeV]", "events",sidebandcut&&cutOSOF&&reducedNJets&&ONLYTau&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
3151	>	LcorrJZBSBem   = systsamples.Draw("LcorrJZBSBem",var,binning, "JZB [GeV]", "events",sidebandcut&&cutOSOF&&reducedNJets&&ONLYTau&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
3152	>	RcorrJZBSBeemm = systsamples.Draw("RcorrJZBSBeemm",var,binning, "JZB [GeV]", "events",sidebandcut&&cutOSSF&&reducedNJets&&ONLYTau&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
3153	>	LcorrJZBSBeemm = systsamples.Draw("LcorrJZBSBeemm",var,binning, "JZB [GeV]", "events",sidebandcut&&cutOSSF&&reducedNJets&&ONLYTau&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
3154	>	}
3155	>
3156	>	TH1F *Bpred = (TH1F*)LcorrJZBeemm->Clone("Bpred");
3157	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
3158	>	Bpred->Add(RcorrJZBem,1.0/3.);
3159	>	Bpred->Add(LcorrJZBem,-1.0/3.);
3160	>	Bpred->Add(RcorrJZBSBem,1.0/3.);
3161	>	Bpred->Add(LcorrJZBSBem,-1.0/3.);
3162	>	Bpred->Add(RcorrJZBSBeemm,1.0/3.);
3163	>	Bpred->Add(LcorrJZBSBeemm,-1.0/3.);
3164	>	} else {
3165	>	Bpred->Add(RcorrJZBem,1.0);
3166	>	Bpred->Add(LcorrJZBem,-1.0);
3167	>	}
3168	>
3169	>	Bpred->SetLineColor(kRed);
3170	>
3171	>	TAUhJZBpos->SetLineColor(kBlack);
3172	>	Bpred->SetLineColor(kRed);
3173	>
3174	>	TAUhJZBpos->SetMinimum(1.0);
3175	>	TAUhJZBpos->Draw("e1");
3176	>	Bpred->Draw("same,hist");
3177	>	TAUhJZBpos->Draw("same,e1");
3178	>
3179	>	TLegend *TAUleg = make_legend("MC Z+jets #rightarrow ee,#mu#mu,#tau#tau",0.55,0.75,false);
3180	>	TAUleg->AddEntry(TAUhJZBpos,"Observed","pe");
3181	>	TAUleg->AddEntry(Bpred,"Predicted","l");
3182	>	TAUleg->Draw("same");
3183	>	DrawMCPrelim(simulatedlumi);
3184	>	CompleteSave(zcan,"Systematics/ZJets/zjets_eemumutautau_prediction");
3185	>
3186	>	TH1F* TAUhratio = (TH1F*)TAUhJZBpos->Clone("TAUhratio");
3187	>	TAUhratio->Divide(Bpred);
3188	>
3189	>	for(int i=1;i<=TAUhJZBpos->GetNbinsX();i++) {
3190	>	cout << "ee/mm/tautau observed: " << TAUhJZBpos->GetBinContent(i) << "   vs    predicted : " << Bpred->GetBinContent(i) << "   (ratio : " << TAUhJZBpos->GetBinContent(i) / Bpred->GetBinContent(i) << endl;
3191	>	}
3192	>
3193	>	zcan->SetLogy(0);
3194	>	TAUhratio->GetYaxis()->SetRangeUser(0,2.5);
3195	>	TAUhratio->GetYaxis()->SetTitle("Observed/Predicted");
3196	>	TAUhratio->Draw("e1");
3197	>
3198	>	top->Draw("same");
3199	>	center->Draw("same");
3200	>	bottom->Draw("same");
3201	>
3202	>	TLegend *TAUleg2 = make_legend("MC Z+jets #rightarrow #tau#tau",0.25,0.75,false);
3203	>	TAUleg2->AddEntry(TAUhratio,"obs / pred","pe");
3204	>	TAUleg2->AddEntry(bottom,"syst. envelope","l");
3205	>	TAUleg2->Draw("same");
3206	>	DrawMCPrelim(simulatedlumi);
3207	>	CompleteSave(zcan,"Systematics/ZJets/zjets_eemumutautau_prediction_ratio");
3208	>
3209	>	delete Bpred;
3210	>	delete TAUhJZBpos;
3211	>	delete LcorrJZBeemm;
3212	>	delete RcorrJZBem;
3213	>	delete LcorrJZBem;
3214	>
3215	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
3216	>	delete RcorrJZBSBem;
3217	>	delete LcorrJZBSBem;
3218	>	delete RcorrJZBSBeemm;
3219	>	delete LcorrJZBSBeemm;
3220	>	}
3221	>
3222
3223		delete zcan;
3224		cutWeight=weightbackup;
#	Line 2333 | Line 3244 | void sideband_assessment(string datajzb,
3244		tout << "\\begin{tabular}{l|cc}" << endl;
3245		tout << "\\hline" << endl;
3246		tout << "& {\\OFZP} & {\\OFSB} \\\\\\hline" << endl;
3247	<	tout << "\\#(events) & "<<OFSB<<" & "<<OFZP<<"\\\\ \\hline" << endl;
3247	>	tout << "\\#(events) & "<<OFZP<<" & "<<OFSB<<"\\\\ \\hline" << endl;
3248		tout << "\\end{tabular}" << endl;
3249		tout << "\\end{center}" << endl;
3250		tout << "\\end{table}" << endl;
#	Line 2351 | Line 3262 | void make_table(samplecollection &coll,
3262
3263		TCanvas *cannie = new TCanvas("cannie","cannie");
3264
3265	<	for(int icut=0;icut<jzb_cuts.size();icut++) {
3265	>	for(int icut=0;icut<(int)jzb_cuts.size();icut++) {
3266		float currcut=jzb_cuts[icut];
3267		int nbins=1;float low=currcut;
3268		vector<int> mysample;
#	Line 2366 | Line 3277 | void make_table(samplecollection &coll,
3277		TH1F *RcorrJZBSBeemm;
3278		TH1F *LcorrJZBSBeemm;
3279
3280	<	if(PlottingSetup::RestrictToMassPeak) {
3280	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
3281		RcorrJZBSBem   = coll.Draw("RcorrJZBSBem",jzbexpr.c_str(),nbins,low,14000, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity, mysample);
3282		LcorrJZBSBem   = coll.Draw("LcorrJZBSBem",("-("+jzbexpr+")").c_str(),nbins,low,14000, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity, mysample);
3283		RcorrJZBSBeemm = coll.Draw("RcorrJZBSBeemm",jzbexpr.c_str(),nbins,low,14000, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity, mysample);
#	Line 2374 | Line 3285 | void make_table(samplecollection &coll,
3285		}
3286
3287		TH1F *Bpred = (TH1F*)LcorrJZBeemm->Clone("Bpred");
3288	<	if(PlottingSetup::RestrictToMassPeak) {
3288	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
3289		Bpred->Add(RcorrJZBem,1.0/3.);
3290		Bpred->Add(LcorrJZBem,-1.0/3.);
3291		Bpred->Add(RcorrJZBSBem,1.0/3.);
#	Line 2410 | Line 3321 | void make_table(samplecollection &coll,
3321		//prediction part
3322		if(is_data) cout << "Data prediction & ";
3323		if(subselection!="none") cout << subselection << " prediction &";
3324	<	for(int ij=0;ij<jzb_cuts.size();ij++) cout << jzbcutprediction[ij] << " vs " << metcutprediction[ij] << " & ";
3324	>	for(int ij=0;ij<(int)jzb_cuts.size();ij++) cout << jzbcutprediction[ij] << " vs " << metcutprediction[ij] << " & ";
3325
3326		cout << endl;
3327		//observation part
3328		if(is_data) cout << "Data observation & ";
3329		if(subselection!="none") cout << subselection << " observation &";
3330	<	for(int ij=0;ij<jzb_cuts.size();ij++) cout << jzbcutobservation[ij] << " vs " << metcutobservation[ij] << " & ";
3330	>	for(int ij=0;ij<(int)jzb_cuts.size();ij++) cout << jzbcutobservation[ij] << " vs " << metcutobservation[ij] << " & ";
3331		cout << endl;
3332		cout << "_________________________________________________________________" << endl;
3333		delete cannie;
#	Line 2451 | Line 3362 | void JZBSelEff(string mcjzb, TTree* even
3362		int nbins = sizeof(xbins)/sizeof(float)-1;
3363		int markers[] = { 20, 26, 21, 24, 22, 25, 28 };
3364
3365	<	TH1F* heff  = new TH1F("heff", "JZB eff ; generator-level JZB [GeV]; efficiency",nbins,xbins);
3366	<	TH1F* hgen  = new TH1F("hgen", "JZB gen ; generator-level JZB [GeV]; efficiency",nbins,xbins);
3367	<	TH1F* hreco = new TH1F("hreco","JZB reco ; generator-level JZB [GeV]; efficiency",nbins,xbins);
3365	>
3366	>	TH1F* heff  = new TH1F("heff", "JZB eff ; generator JZB [GeV]; efficiency",nbins,xbins);
3367	>	TH1F* hgen  = new TH1F("hgen", "JZB gen ; generator JZB [GeV]; efficiency",nbins,xbins);
3368	>	TH1F* hreco = new TH1F("hreco","JZB reco ; generator JZB [GeV]; efficiency",nbins,xbins);
3369
3370		TCut kgen(genMassCut&&"genZPt>0&&genNjets>2&&abs(genMID)==23"&&cutOSSF);
3371		TCut kreco(cutmass);
#	Line 2469 | Line 3381 | void JZBSelEff(string mcjzb, TTree* even
3381		TCanvas *can = new TCanvas("can","Canvas for JZB Efficiency",600,600);
3382		can->SetGridx(1);
3383		can->SetGridy(1);
3384	+	can->SetLeftMargin(0.16);
3385	+	can->SetRightMargin(0.05);
3386		TLegend *leg = make_legend("",0.6,0.2,false,0.89,0.5);
3387	+	leg->SetBorderSize(1);
3388	+	leg->SetLineColor(kBlack);
3389	+	leg->SetTextFont(62);
3390
3391	<
2475	<
2476	<	for ( int icut=0; icut<jzb_bins.size(); ++icut ) {
3391	>	for ( int icut=0; icut<(int)jzb_bins.size(); ++icut ) {
3392
3393		ostringstream selection;
3394		selection << mcjzb << ">" << jzb_bins[icut];
#	Line 2489 | Line 3404 | void JZBSelEff(string mcjzb, TTree* even
3404		}
3405
3406		heff->GetXaxis()->SetRangeUser(min, max);
3407	+	//    heff->GetXaxis()->SetLabelSize(0.05); // paper style. overruled.
3408	+	//    heff->GetYaxis()->SetLabelSize(0.05); // paper style. overruled.
3409	+	//    heff->GetXaxis()->SetTitleSize(0.06); // paper style. overruled.
3410	+	//    heff->GetYaxis()->SetTitleSize(0.06); // paper style. overruled.
3411		heff->SetMarkerStyle(markers[icut]);
3412		heff->Fit("func","Q+","same");
3413
#	Line 2500 | Line 3419 | void JZBSelEff(string mcjzb, TTree* even
3419
3420		// Store plot
3421		TH1F* h = (TH1F*)heff->Clone(hname);
3422	+	h->SetNdivisions(505,"X");
3423		if ( icut) h->Draw("same");
3424		else h->Draw();
3425		char htitle[256]; sprintf(htitle,"JZB > %3.0f GeV", jzb_bins[icut]);
#	Line 2520 | Line 3440 | void JZBSelEff(string mcjzb, TTree* even
3440		// Calls the above function for each signal sample
3441		void plot_jzb_sel_eff(string mcjzb, samplecollection &signalsamples, vector<float> bins )
3442		{
3443	<	for (int isignal=0; isignal<signalsamples.collection.size();isignal++) {
3443	>	for (int isignal=0; isignal<(int)signalsamples.collection.size();isignal++) {
3444		dout << "JZB selection efficiency curve: " << std::endl;
3445		JZBSelEff(mcjzb,(signalsamples.collection)[isignal].events,(signalsamples.collection)[isignal].samplename,bins); // Only for some selected samples
3446		}
#	Line 2563 | Line 3483 | void qcd_plots(string datajzb, string mc
3483		TH1F *RcorrJZBSBeemm;
3484		TH1F *LcorrJZBSBeemm;
3485
3486	<	TH1F *RcorrJZBeemmNoS;
3486	>	//  TH1F *RcorrJZBeemmNoS;
3487
3488		//these are for the ratio
3489		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 3496 | void qcd_plots(string datajzb, string mc
3496		TH1F *JRcorrJZBSBeemm;
3497		TH1F *JLcorrJZBSBeemm;
3498
3499	<	if(PlottingSetup::RestrictToMassPeak) {
3499	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
3500		RcorrJZBSBem   = qcdsamples.Draw("RcorrJZBSBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
3501		LcorrJZBSBem   = qcdsamples.Draw("LcorrJZBSBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
3502		RcorrJZBSBeemm = qcdsamples.Draw("RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
#	Line 2597 | Line 3517 | void qcd_plots(string datajzb, string mc
3517
3518		TH1F *Bpred = (TH1F*)LcorrJZBeemm->Clone("Bpred");
3519		TH1F *JBpred = (TH1F*)JLcorrJZBeemm->Clone("Bpred");
3520	<	if(PlottingSetup::RestrictToMassPeak) {
3520	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
3521		Bpred->Add(RcorrJZBem,1.0/3.);
3522		Bpred->Add(LcorrJZBem,-1.0/3.);
3523		Bpred->Add(RcorrJZBSBem,1.0/3.);
#	Line 2647 | Line 3567 | void qcd_plots(string datajzb, string mc
3567		//3rd last argument: do special bpred ratio, 2nd last argument: extended range!, last: y-axis title
3568		string ytitle("ratio");
3569		if ( use_data==1 ) ytitle = "data/pred";
3570	<	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,"QCD/Bpred",true,use_data!=1,ytitle);
3570	>	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,"QCD/Bpred",true,false,ytitle);
3571
3572		TH1F *allevents = qcdsamples.Draw("allevents","pfJetGoodNum",1,0,100, "internal code", "events", "" ,mc, luminosity);
3573		TH1F *ossf = qcdsamples.Draw("ossf","pfJetGoodNum",1,0,100, "internal code", "events", cutOSSF ,mc, luminosity);
#	Line 2667 | Line 3587 | void qcd_plots(string datajzb, string mc
3587		dout << "______________________________________________" << endl;
3588		dout << "How QCD shows up in the different regions: " << endl;
3589		dout << "OSSF: " << endl;
3590	<	if(PlottingSetup::RestrictToMassPeak) {
3590	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
3591		dout << "     Z window: \t" << RcorrJZBeemm->Integral() << " (JZB>0) , " << LcorrJZBeemm->Integral() << " (JZB<0) --> total: " << RcorrJZBeemm->Integral() + LcorrJZBeemm->Integral() << endl;
3592		dout << "     sideband: \t" << RcorrJZBSBeemm->Integral() << " (JZB>0) , " << LcorrJZBSBeemm->Integral() << " (JZB<0) --> total: " << RcorrJZBSBeemm->Integral() + LcorrJZBSBeemm->Integral() << endl;
3593		} else {
3594		dout << "     " << RcorrJZBeemm->Integral() << " (JZB>0) , " << LcorrJZBeemm->Integral() << " (JZB<0) --> total: " << RcorrJZBeemm->Integral() + LcorrJZBeemm->Integral() << endl;
3595		}
3596		dout << "OSOF: " << endl;
3597	<	if(PlottingSetup::RestrictToMassPeak) {
3597	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
3598		dout << "     Z window: \t" << RcorrJZBem->Integral() << " (JZB>0) , " << LcorrJZBem->Integral() << " (JZB<0) --> total: " << RcorrJZBem->Integral() + LcorrJZBem->Integral() << endl;
3599		dout << "     sideband: \t" << RcorrJZBSBem->Integral() << " (JZB>0) , " << LcorrJZBSBem->Integral() << " (JZB<0) --> total: " << RcorrJZBSBem->Integral() + LcorrJZBSBem->Integral() << endl;
3600		} else {
3601		dout << "     Z window: \t" << RcorrJZBem->Integral() << " (JZB>0) , " << LcorrJZBem->Integral() << " (JZB<0) --> total: " << RcorrJZBem->Integral() + LcorrJZBem->Integral() << endl;
3602		}
3603		dout << "Therefore: " << endl;
3604	<	if(PlottingSetup::RestrictToMassPeak) {
3604	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
3605		dout << "    Prediction increases by : " << LcorrJZBeemm->Integral() << " + (1.0/3)*(" << RcorrJZBSBeemm->Integral() <<"-"<< LcorrJZBSBeemm->Integral() << ") (SFSB) ";
3606		dout << " + (1.0/3)*(" << RcorrJZBem->Integral() <<"-"<< LcorrJZBem->Integral() << ") (OFZP) ";
3607		dout << " + (1.0/3)*(" << RcorrJZBSBem->Integral() <<"-"<< LcorrJZBSBem->Integral() << ") (OFSB) ";
#	Line 2694 | Line 3614 | void qcd_plots(string datajzb, string mc
3614		dout << "    Observation increases by : " << RcorrJZBeemm->Integral() << endl;
3615
3616		dout << endl;
3617	<	for(int i=0;i<bins.size();i++) {
3617	>	for(int i=0;i<(int)bins.size();i++) {
3618		dout << " JZB > " << bins[i] << " : " << endl;
3619		dout << "    Observation increases by : " << RcorrJZBeemm->Integral(RcorrJZBeemm->FindBin(bins[i]),RcorrJZBeemm->GetNbinsX()) << endl;
3620	<	if(PlottingSetup::RestrictToMassPeak) {
3620	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB) {
3621		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;
3622		} else {
3623		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 3631 | void qcd_plots(string datajzb, string mc
3631		if(LcorrJZBem) delete LcorrJZBem;
3632		if(RcorrJZBeemm) delete RcorrJZBeemm;
3633		if(LcorrJZBeemm) delete LcorrJZBeemm;
3634	<	if(PlottingSetup::RestrictToMassPeak&&RcorrJZBSBem) delete RcorrJZBSBem;
3635	<	if(PlottingSetup::RestrictToMassPeak&&LcorrJZBSBem) delete LcorrJZBSBem;
3636	<	if(PlottingSetup::RestrictToMassPeak&&RcorrJZBSBeemm) delete RcorrJZBSBeemm;
3637	<	if(PlottingSetup::RestrictToMassPeak&&LcorrJZBSBeemm) delete LcorrJZBSBeemm;
3634	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB&&RcorrJZBSBem) delete RcorrJZBSBem;
3635	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB&&LcorrJZBSBem) delete LcorrJZBSBem;
3636	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB&&RcorrJZBSBeemm) delete RcorrJZBSBeemm;
3637	>	if(PlottingSetup::RestrictToMassPeak&&PlottingSetup::UseSidebandsForcJZB&&LcorrJZBSBeemm) delete LcorrJZBSBeemm;
3638	>	}
3639	>
3640	>	void check_ptsanity() {
3641	>	TCanvas *ptsancan = new TCanvas("ptsancan","ptsancan",600,1800);
3642	>	TH1F *individualpt1histos[allsamples.collection.size()];
3643	>	TH1F *individualpt2histos[allsamples.collection.size()];
3644	>	TH1F *fpt1 = new TH1F("fpt1","fpt1",50,0,50);
3645	>	fpt1->GetYaxis()->SetRangeUser(0,1);
3646	>	fpt1->GetXaxis()->SetTitle("p_{T,1}");
3647	>	fpt1->GetXaxis()->CenterTitle();
3648	>
3649	>	TH1F *fpt2 = new TH1F("fpt2","fpt2",50,0,50);
3650	>	fpt2->GetXaxis()->SetTitle("p_{T,2}");
3651	>	fpt2->GetXaxis()->CenterTitle();
3652	>
3653	>	ptsancan->Divide(1,3);
3654	>	ptsancan->cd(1);
3655	>	float maxpt1entry=0;
3656	>	float maxpt2entry=0;
3657	>
3658	>	TLegend *leg = make_legend();
3659	>	leg->SetX1(0.0);
3660	>	leg->SetY1(0.0);
3661	>	leg->SetX2(1.0);
3662	>	leg->SetY2(1.0);
3663	>
3664	>
3665	>	for(int isample=0;isample<(int)allsamples.collection.size();isample++) {
3666	>	string nowname=(allsamples.collection)[isample].filename;
3667	>	cout << "Drawing: " << nowname << " (sample " << isample+1 << " / " << allsamples.collection.size() << ")" << endl;
3668	>	individualpt1histos[isample] = allsamples.Draw(GetNumericHistoName(),"pt1",50,0,50, "p_{T,1}", "events",cutOSSF&&cutnJets,mc,luminosity,allsamples.FindSample(nowname));
3669	>	individualpt2histos[isample] = allsamples.Draw(GetNumericHistoName(),"pt2",50,0,50, "p_{T,2}", "events",cutOSSF&&cutnJets,mc,luminosity,allsamples.FindSample(nowname));
3670	>	individualpt1histos[isample]->SetLineColor(isample+1);
3671	>	individualpt2histos[isample]->SetLineColor(isample+1);
3672	>	float currmaxpt1entry=individualpt1histos[isample]->GetMaximum()/individualpt1histos[isample]->Integral();
3673	>	float currmaxpt2entry=individualpt2histos[isample]->GetMaximum()/individualpt2histos[isample]->Integral();
3674	>	cout << "      pt 1 histo contains; " << individualpt1histos[isample]->Integral() << endl;
3675	>	cout << "      pt 2 histo contains; " << individualpt2histos[isample]->Integral() << endl;
3676	>	if(currmaxpt1entry>maxpt1entry)maxpt1entry=currmaxpt1entry;
3677	>	if(currmaxpt2entry>maxpt2entry)maxpt2entry=currmaxpt2entry;
3678	>	leg->AddEntry(individualpt2histos[isample],((allsamples.collection)[isample].filename).c_str(),"f");
3679	>	}
3680	>
3681	>	fpt1->GetYaxis()->SetRangeUser(0,maxpt1entry);
3682	>	fpt2->GetYaxis()->SetRangeUser(0,maxpt2entry);
3683	>
3684	>	ptsancan->cd(1);
3685	>	fpt1->Draw();
3686	>	ptsancan->cd(2);
3687	>	fpt2->Draw();
3688	>
3689	>	for(int isample=0;isample<(int)allsamples.collection.size();isample++) {
3690	>	ptsancan->cd(1);
3691	>	individualpt1histos[isample]->DrawNormalized("same,histo");
3692	>	ptsancan->cd(2);
3693	>	individualpt2histos[isample]->DrawNormalized("same,histo");
3694	>	}
3695	>	ptsancan->cd(3);
3696	>	leg->Draw();
3697	>	CompleteSave(ptsancan,"PtSanityCheck");
3698	>
3699	>	delete ptsancan;
3700	>	}
3701	>
3702	>	void do_mlls_plot(string mcjzb) {
3703	>	cout << "At this point we'd plot the mll distribution" << endl;
3704	>	TCanvas *sigcan = new TCanvas("sigcan","sigcan");
3705	>	for(int isig=0;isig<(int)(signalsamples.collection).size();isig++) {
3706	>	if(!(signalsamples.collection)[isig].events) continue;
3707	>	string nowname=(signalsamples.collection)[isig].filename;
3708	>	TH1F *mll = signalsamples.Draw("mllhisto","mll",150,0,150, "m_{ll}", "events",cutOSSF&&cutnJets,mc,luminosity,signalsamples.FindSample(nowname));
3709	>	//    TH1F *mll = signalsamples.Draw("mllhisto","mll",150,0,150, "m_{ll}", "events","",mc,luminosity,signalsamples.FindSample(nowname));
3710	>	mll->SetLineColor(TColor::GetColor("#04B404"));
3711	>	stringstream poscutS;
3712	>	poscutS << "((" << mcjzb <<")>50)";
3713	>	TCut poscut(poscutS.str().c_str());
3714	>	TH1F *mllP = signalsamples.Draw("mllhistoP","mll",150,0,150, "m_{ll}", "events",cutOSSF&&cutnJets&&poscut,mc,luminosity,signalsamples.FindSample(nowname));
3715	>	mllP->SetLineColor(TColor::GetColor("#0040FF"));
3716	>	mll->Draw("histo");
3717	>	mllP->Draw("histo,same");
3718	>	TLegend *leg = make_legend();
3719	>	leg->SetY1(0.8);
3720	>	leg->AddEntry(mll,(signalsamples.collection)[isig].samplename.c_str(),"L");
3721	>	leg->AddEntry(mllP,((signalsamples.collection)[isig].samplename+", JZB>50").c_str(),"L");
3722	>	leg->Draw();
3723	>	TLine *lin = new TLine(71.2,0,71.2,mll->GetMaximum());
3724	>	TLine *lin2 = new TLine(111.2,0,111.2,mll->GetMaximum());
3725	>	lin->Draw("same");
3726	>	lin2->Draw("same");
3727	>
3728	>	CompleteSave(sigcan,"MllShape/"+(signalsamples.collection)[isig].samplename);
3729	>	delete mll;
3730	>	delete mllP;
3731	>	}
3732		}
3733
3734	+	void met_vs_jzb_plots(string datajzb, string mcjzb) {
3735	+
3736	+	TCanvas *canmetjzb = new TCanvas("canmet","MET vs JZB canvas");
3737	+	canmetjzb->SetRightMargin(0.16);
3738	+
3739	+	vector<string> findme;
3740	+	findme.push_back("DY");
3741	+	findme.push_back("TTJets");
3742	+	findme.push_back("LM");
3743	+	/*
3744	+	for(int ifind=0;ifind<(int)findme.size();ifind++) {
3745	+	vector<int> selsamples = allsamples.FindSample(findme[ifind]);
3746	+	TH2F *metvsjzb = new TH2F("metvsjzb","metvsjzb",200,0,100,400,-100,100);
3747	+	for(int isel=0;isel<(int)selsamples.size();isel++) {
3748	+	dout << "Producing MET:JZB plot ... working on sample: " << allsamples.collection[selsamples[isel]].filename << endl;
3749	+	allsamples.collection[selsamples[isel]].events->Draw("jzb[1]:met[4]>>+metvsjzb",cutmass&&cutOSSF&&cutnJets);
3750	+	}
3751	+	metvsjzb->Scale(allsamples.collection[selsamples[0]].weight);
3752	+	metvsjzb->SetStats(0);
3753	+	metvsjzb->GetXaxis()->SetTitle("MET (GeV)");
3754	+	metvsjzb->GetYaxis()->SetTitle("JZB (GeV)");
3755	+	metvsjzb->GetXaxis()->CenterTitle();
3756	+	metvsjzb->GetYaxis()->CenterTitle();
3757	+	metvsjzb->Draw("COLZ");
3758	+	TText* title = write_text(0.5,0.95,allsamples.collection[selsamples[0]].samplename);
3759	+	title->SetTextAlign(12);
3760	+	title->Draw();
3761	+	CompleteSave(canmetjzb,(string)"METvsJZBplots/"+findme[ifind]);
3762	+	}
3763	+	*/
3764	+
3765	+	dout << "About to produce MET plot for DY split up by JZB" << endl;
3766	+
3767	+	int nbins=14;
3768	+	float low=0;
3769	+	float high=140;
3770	+
3771	+	stringstream sLEFT;
3772	+	sLEFT << "((" << mcjzb << ")<0)";
3773	+	TCut LEFT(sLEFT.str().c_str());
3774	+	stringstream sRIGHT;
3775	+	sRIGHT << "((" << mcjzb << ")>0)";
3776	+	TCut RIGHT(sRIGHT.str().c_str());
3777	+
3778	+	TH1F *metleft   = allsamples.Draw("metleft","met[4]",nbins,low,high, "MET [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&LEFT,mc, luminosity, allsamples.FindSample("DYJets"));
3779	+	TH1F *metleftO  = allsamples.Draw("metleftO","met[4]",nbins,low,high, "MET [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&LEFT,mc, luminosity, allsamples.FindSample("DYJets"));
3780	+	TH1F *metright  = allsamples.Draw("metright","met[4]",nbins,low,high, "MET [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&RIGHT,mc, luminosity, allsamples.FindSample("DYJets"));
3781	+	TH1F *metrightO = allsamples.Draw("metrightO","met[4]",nbins,low,high, "MET [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&RIGHT,mc, luminosity, allsamples.FindSample("DYJets"));
3782	+
3783	+
3784	+	TH1F *Bpred =  (TH1F*)metleft->Clone("Bpred");
3785	+	Bpred->Add(metleftO,-1);
3786	+	Bpred->Add(metrightO);
3787	+	TH1F *obs = (TH1F*)metright->Clone("obs");
3788	+
3789	+	metleft->Add(metleftO,-1);
3790	+	metright->Add(metrightO,-1);
3791	+
3792	+	metleft->SetLineColor(kRed);
3793	+	metright->SetLineColor(kBlack);
3794	+	TPad *metpad = new TPad("metpad","metpad",0,0,1,1);
3795	+	metpad->cd();
3796	+	metpad->SetLogy(1);
3797	+	metleft->Draw("histo");
3798	+	metright->Draw("same");
3799	+	TLegend *lg = make_legend();
3800	+	lg->SetX1(0.5);
3801	+	lg->SetY1(0.7);
3802	+	lg->AddEntry(metright,"JZB>0 (OSOF corrected)","P");
3803	+	lg->AddEntry(metleft,"JZB<0 (OSOF corrected)","L");
3804	+	lg->SetHeader("DY");
3805	+
3806	+	lg->Draw();
3807	+	save_with_ratio(metright,metleft,metpad->cd(),"METvsJZBplots/ComparingLeftToRightinMETspectrum");
3808	+
3809	+	TPad *metpad3 = new TPad("metpad3","metpad3",0,0,1,1);
3810	+	metpad3->cd();
3811	+	metpad3->SetLogy(1);
3812	+	Bpred->SetLineColor(kRed);
3813	+	Bpred->Draw("histo");
3814	+	obs->SetLineColor(kBlack);
3815	+	obs->Draw("same");
3816	+	TLegend *lg2 = make_legend();
3817	+	lg2->SetX1(0.5);
3818	+	lg2->SetY1(0.7);
3819	+	lg2->AddEntry(obs,"observed","P");
3820	+	lg2->AddEntry(Bpred,"predicted","L");
3821	+	lg2->SetHeader("DY");
3822	+
3823	+	lg2->Draw();
3824	+
3825	+	save_with_ratio(obs,Bpred,metpad3->cd(),"METvsJZBplots/ComparingPredObsinMET");
3826	+
3827	+	TPad *metpad2 = new TPad("metpad2","metpad2",0,0,1,1);
3828	+	metpad2->cd();
3829	+	metpad2->SetLogy(1);
3830	+
3831	+	TH1F *metlefta   = allsamples.Draw("metlefta","met[2]",nbins,low,high, "MET [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&LEFT,mc, luminosity, allsamples.FindSample("DYJets"));
3832	+	TH1F *metleftOa  = allsamples.Draw("metleftOa","met[2]",nbins,low,high, "MET [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&LEFT,mc, luminosity, allsamples.FindSample("DYJets"));
3833	+	TH1F *metrighta  = allsamples.Draw("metrighta","met[2]",nbins,low,high, "MET [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&RIGHT,mc, luminosity, allsamples.FindSample("DYJets"));
3834	+	TH1F *metrightOa = allsamples.Draw("metrightOa","met[2]",nbins,low,high, "MET [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&RIGHT,mc, luminosity, allsamples.FindSample("DYJets"));
3835	+
3836	+	metlefta->Add(metleftOa,-1);
3837	+	metrighta->Add(metrightOa,-1);
3838	+
3839	+	metlefta->SetLineColor(kRed);
3840	+	metpad2->cd();
3841	+	metlefta->Draw("histo");
3842	+	metrighta->Draw("same");
3843	+	lg->Draw();
3844	+	save_with_ratio(metrighta,metlefta,metpad2->cd(),"METvsJZBplots/ComparingLeftToRightinMET_type1_spectrum");
3845	+
3846	+	delete Bpred;
3847	+	delete obs;
3848	+
3849	+	float newhigh=300;
3850	+	int newNBins=30;
3851	+
3852	+	TPad *metpad4 = new TPad("metpad4","metpad4",0,0,1,1);
3853	+	TH1F *Ametleft   = allsamples.Draw("Ametleft","met[4]",newNBins,low,newhigh, "MET [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&LEFT,mc, luminosity);
3854	+	TH1F *AmetleftO  = allsamples.Draw("AmetleftO","met[4]",newNBins,low,newhigh, "MET [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&LEFT,mc, luminosity);
3855	+	TH1F *Ametright  = allsamples.Draw("Ametright","met[4]",newNBins,low,newhigh, "MET [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&RIGHT,mc, luminosity);
3856	+	TH1F *AmetrightO = allsamples.Draw("AmetrightO","met[4]",newNBins,low,newhigh, "MET [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&RIGHT,mc, luminosity);
3857	+
3858	+	TH1F *aBpred = (TH1F*)Ametleft->Clone("aBpred");
3859	+	aBpred->Add(AmetleftO,-1);
3860	+	aBpred->Add(AmetrightO);
3861	+	aBpred->SetLineColor(kRed);
3862	+
3863	+	TH1F *aobs = (TH1F*)Ametright->Clone("aobs");
3864	+	metpad4->cd();
3865	+	metpad4->SetLogy(1);
3866	+	aobs->Draw();
3867	+	aBpred->Draw("histo,same");
3868	+	aobs->Draw("same");
3869	+	lg->SetHeader("All MC");
3870	+	lg->Draw();
3871	+	save_with_ratio(aobs,aBpred,metpad4->cd(),"METvsJZBplots/ComparingPredObsinMET_ALLSAMPLES");
3872	+
3873	+
3874	+	delete lg;
3875	+	delete canmetjzb;
3876	+	delete metleft;
3877	+	delete metleftO;
3878	+	delete metright;
3879	+	delete metrightO;
3880	+	}
3881	+
3882	+
3883		void test() {
3884
3885		TCanvas *testcanv = new TCanvas("testcanv","testcanv");
3886		testcanv->cd();
3887	<	switch_overunderflow(true);
3887	>	//  switch_overunderflow(true);
3888		TH1F *ptdistr   = allsamples.Draw("ptdistr","pt1",100,30,200, "p_{T} [GeV]", "events", cutOSSF,data,luminosity);
3889		switch_overunderflow(false);
3890		ptdistr->Draw();

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