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

Comparing UserCode/cbrown/Development/Plotting/Modules/Plotting_Functions.C (file contents):
Revision 1.12 by buchmann, Wed Apr 18 09:20:36 2012 UTC vs.
Revision 1.43 by fronga, Mon Jul 30 08:21:48 2012 UTC

#	Line 28 \| Line 28 \| void todo() {
28		dout << "Info : The pt requirement is currently set to " << (const char*) passtrig << endl;
29		dout << "Info : The mll requirement is currently set to " << (const char*) cutmass << endl;
30		dout << "Info : The lepton requirement is currently set to " << (const char*) leptoncut << endl;
31	+	dout << "Info : The weight applied to all MC is " << (const char*) cutWeight << endl;
32		}
33
34	<	void find_peaks(float &MCPeak,float &MCPeakError, float &DataPeak, float &DataPeakError, float &MCSigma, float &DataSigma, stringstream &result, bool doPUreweighting = true )
34	>
35	>
36	>	void find_one_peak_combination(TCut specialcut, float &MCPeak,float &MCPeakError, float &DataPeak, float &DataPeakError, float &MCSigma, float &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		TCanvas *tempcan = new TCanvas("tempcan","Temporary canvas for peak finding preparations");
46	<	TH1F *rawJZBeemmMC = allsamples.Draw("rawJZBeemmMC",jzbvariablemc,100,-50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,mc, luminosity);
47	<	TH1F *rawJZBeemmData = allsamples.Draw("rawJZBeemmData",jzbvariabledata,100, -50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,data, luminosity);
48	<	TH1F *rawJZBemMC = allsamples.Draw("rawJZBemMC",jzbvariablemc,100,-50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,mc, luminosity);
49	<	TH1F *rawJZBemData = allsamples.Draw("rawJZBemData",jzbvariabledata,100, -50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,data, luminosity);
46	>	TH1F *rawJZBeemmMC = allsamples.Draw("rawJZBeemmMC",jzbvariablemc,nbins,-50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&specialcut,mc, luminosity);
47	>	TH1F *rawJZBeemmData = allsamples.Draw("rawJZBeemmData",jzbvariabledata,nbins, -50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&specialcut,data, luminosity);
48	>	TH1F *rawJZBemMC = allsamples.Draw("rawJZBemMC",jzbvariablemc,nbins,-50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&specialcut,mc, luminosity);
49	>	TH1F *rawJZBemData = allsamples.Draw("rawJZBemData",jzbvariabledata,nbins, -50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&specialcut,data, luminosity);
50		TH1F *rawttbarjzbeemmMC;
51
52		if(method==doKM) {
53		//we only need this histo for the KM fitting...
54	<	rawttbarjzbeemmMC = allsamples.Draw("rawttbarjzbeemmMC",jzbvariablemc,100, -50,50, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,luminosity,allsamples.FindSample("TTJet"));
55	<	MCPeak=find_peak(rawJZBeemmMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method);
56	<	DataPeak=find_peak(rawJZBeemmData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method);
54	>	rawttbarjzbeemmMC = allsamples.Draw("rawttbarjzbeemmMC",jzbvariablemc,nbins, -50,50, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets&&specialcut,mc,luminosity,allsamples.FindSample("TTJet"));
55	>	MCPeak=find_peak(rawJZBeemmMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,MCSigmaError,method,saveas);
56	>	DataPeak=find_peak(rawJZBeemmData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,DataSigmaError,method,saveas);
57	>	delete rawttbarjzbeemmMC;
58		}
59		else {
60		TH1F reducedMC = (TH1F)rawJZBeemmMC->Clone();
#	Line 55 \| Line 62 \| void find_peaks(float &MCPeak,float &MCP
62		reducedMC->Add(rawJZBemMC,-1);
63		reducedData->Add(rawJZBemData,-1);
64		//this is Kostas' way of doing it - we subtract em to get rid of some of the ttbar contribution (in reality, of flavor-symmetric contribution)
65	<	MCPeak=find_peak(reducedMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method);
66	<	DataPeak=find_peak(reducedData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method);
67	<
65	>	MCPeak=find_peak(reducedMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,MCSigmaError,method,saveas);
66	>	DataPeak=find_peak(reducedData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,DataSigmaError,method,saveas);
67	>	delete reducedMC;
68	>	delete reducedData;
69		}
70
71		// Revert to original PU reweighting
#	Line 65 \| Line 73 \| void find_peaks(float &MCPeak,float &MCP
73
74		// MCPeak=find_peak(rawJZBeemmMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method);
75		// DataPeak=find_peak(rawJZBeemmData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method);
76	<	dout << "We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
77	<	result << "We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
78	<	dout << "We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
79	<	result << "We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
76	>	dout << " We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- " << DataSigmaError << endl;
77	>	result << " We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- " << DataSigmaError << endl;
78	>	dout << " We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- " << MCSigmaError << endl;
79	>	result << " We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- " << MCSigmaError << endl;
80	>	delete rawJZBeemmData;
81	>	delete rawJZBeemmMC;
82	>	delete rawJZBemData;
83	>	delete rawJZBemMC;
84		delete tempcan;
85		}
86
87	<	void make_special_obs_pred_mll_plot(string mcjzb, float jzbthreshold) {
87	>	void find_peaks(float &MCPeak,float &MCPeakError, float &DataPeak, float &DataPeakError, stringstream &result, bool doPUreweighting, stringstream &datajzb, stringstream &mcjzb)
88	>	{
89	>
90	>	bool DoInvidualeemmPeaks=false;
91	>
92	>	float mcpeak, datapeak;
93	>	float mcpeakerr, datapeakerr;
94	>
95	>	float mceepeak,mcmmpeak;
96	>	float mceepeakerr,mcmmpeakerr;
97	>
98	>	float datammpeak,dataeepeak;
99	>	float datammpeakerr,dataeepeakerr;
100	>
101	>	float mcSigma,mcSigmaError, dataSigma, dataSigmaError;
102	>
103	>	dout << "Finding global peak : " << endl;
104	>	find_one_peak_combination(TCut(""),mcpeak,mcpeakerr, datapeak,datapeakerr,mcSigma,mcSigmaError, dataSigma,dataSigmaError,result,doPUreweighting,"");
105	>
106	>	if(DoInvidualeemmPeaks) {
107	>	dout << "Finding peak for electrons : " << endl;
108	>	find_one_peak_combination(TCut("id1==0"),mceepeak,mceepeakerr,dataeepeak,dataeepeakerr,mcSigma,mcSigmaError,dataSigma,dataSigmaError,result,doPUreweighting,"_ele");
109	>	dout << "Finding peak for muons : " << endl;
110	>	find_one_peak_combination(TCut("id1==1"),mcmmpeak,mcmmpeakerr,datammpeak,datammpeakerr,mcSigma,mcSigmaError,dataSigma,dataSigmaError,result,doPUreweighting,"_mu");
111	>
112	>	datajzb << "(" << jzbvariabledata;
113	>	mcjzb << "(" << jzbvariablemc;
114	>
115	>	if(dataeepeak>0) datajzb << "- (id1==id2)(id1==0)" << TMath::Abs(dataeepeak) << " ";
116	>	else datajzb << "+ (id1==id2)(id1==0)" << TMath::Abs(dataeepeak) << " ";
117	>
118	>	if(datammpeak>0) datajzb << "- (id1==id2)(id1==1)" << TMath::Abs(datammpeak) << " ";
119	>	else datajzb << "+ (id1==id2)(id1==1)" << TMath::Abs(datammpeak) << " ";
120	>
121	>	if(datapeak>0) datajzb << "- (id1!=id2)*" << TMath::Abs(datapeak) << " ";
122	>	else datajzb << "+ (id1!=id2)*" << TMath::Abs(datapeak) << " ";
123	>
124	>	datajzb << ")";
125	>
126	>	if(mceepeak>0) mcjzb << "- (id1==id2)(id1==0)" << TMath::Abs(mceepeak) << " ";
127	>	else mcjzb << "+ (id1==id2)(id1==0)" << TMath::Abs(mceepeak) << " ";
128	>
129	>	if(mcmmpeak>0) mcjzb << "- (id1==id2)(id1==1)" << TMath::Abs(mcmmpeak) << " ";
130	>	else mcjzb << "+ (id1==id2)(id1==1)" << TMath::Abs(mcmmpeak) << " ";
131	>
132	>	if(mcpeak>0) mcjzb << "- (id1!=id2)*" << TMath::Abs(mcpeak) << " ";
133	>	else mcjzb << "+ (id1!=id2)*" << TMath::Abs(mcpeak) << " ";
134	>
135	>	mcjzb << ")";
136	>	} else {
137	>	datajzb << "(" << jzbvariabledata;
138	>	mcjzb << "(" << jzbvariablemc;
139	>
140	>	if(datapeak>0) datajzb << "- " << TMath::Abs(datapeak) << " ";
141	>	else datajzb << "+ " << TMath::Abs(datapeak) << " ";
142	>
143	>	datajzb << ")";
144	>
145	>	if(mcpeak>0) mcjzb << "- " << TMath::Abs(mcpeak) << " ";
146	>	else mcjzb << "+ " << TMath::Abs(mcpeak) << " ";
147	>
148	>	mcjzb << ")";
149	>	}
150	>
151	>
152	>	}
153	>
154	>	void make_special_obs_pred_mll_plot(string datajzb, string mcjzb, float jzbthreshold, float binWidth = 5.0) {
155		float min=70.0;
156		float max=115.0;
157		if(!PlottingSetup::RestrictToMassPeak) {
158	<	min=10;
159	<	max=150;
158	>	min=20;
159	>	max=300;
160		}
161	<	int nbins=int((max-min)/5);
161	>	int nbins=int((max-min)/binWidth);
162
163		TCanvas *ckin = new TCanvas("ckin","Kinematic Plots (in the making)",600,600);
164
165		stringstream largerzeroS;
166	<	largerzeroS << "(" << mcjzb << ">" << jzbthreshold << ")";
167	<	TCut largerzero(largerzeroS.str().c_str());
166	>	largerzeroS << "(" << datajzb << ">" << jzbthreshold << ")";
167	>	TCut largerzeroD(largerzeroS.str().c_str());
168
169		stringstream smallerzeroS;
170	<	smallerzeroS << "(" << mcjzb << "<-" << jzbthreshold << ")";
171	<	TCut smallerzero(smallerzeroS.str().c_str());
172	<
173	<	TH1F *RcorrJZBeemm = allsamples.Draw("RcorrJZBeemm", "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,data,luminosity);
174	<	THStack mcRcorrJZBeemm = allsamples.DrawStack("mcRcorrJZBeemm","mll",nbins,min,max, "m_{ll} [GeV}", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,mc,luminosity);
175	<	TH1F *LcorrJZBeemm = allsamples.Draw("LcorrJZBeemm", "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&smallerzero,data,luminosity);
176	<	TH1F *RcorrJZBem = allsamples.Draw("RcorrJZBem", "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&largerzero,data,luminosity);
177	<	TH1F *LcorrJZBem = allsamples.Draw("LcorrJZBem", "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&smallerzero,data,luminosity);
170	>	smallerzeroS << "(" << datajzb << "<-" << jzbthreshold << ")";
171	>	TCut smallerzeroD(smallerzeroS.str().c_str());
172	>
173	>
174	>	stringstream largerzeroMS;
175	>	largerzeroMS << "(" << mcjzb << ">" << jzbthreshold << ")";
176	>	TCut largerzeroM(largerzeroMS.str().c_str());
177	>
178	>	TH1F *RcorrJZBeemm = allsamples.Draw("RcorrJZBeemm", "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzeroD,data,luminosity);
179	>	THStack mcRcorrJZBeemm = allsamples.DrawStack("mcRcorrJZBeemm","mll",nbins,min,max, "m_{ll} [GeV}", "events", cutmass&&cutOSSF&&cutnJets&&largerzeroM,mc,luminosity);
180	>	TH1F *LcorrJZBeemm = allsamples.Draw("LcorrJZBeemm", "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&smallerzeroD,data,luminosity);
181	>	TH1F *RcorrJZBem = allsamples.Draw("RcorrJZBem", "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&largerzeroD,data,luminosity);
182	>	TH1F *LcorrJZBem = allsamples.Draw("LcorrJZBem", "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&smallerzeroD,data,luminosity);
183
184		TH1F *RcorrJZBSBem;
185		TH1F *LcorrJZBSBem;
186		TH1F *RcorrJZBSBeemm;
187		TH1F *LcorrJZBSBeemm;
188
189	<	TH1F *RcorrJZBeemmNoS;
189	>	// TH1F *RcorrJZBeemmNoS;
190
191		if(PlottingSetup::RestrictToMassPeak) {
192	<	RcorrJZBSBem = allsamples.Draw("RcorrJZBSBem", "mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&largerzero,data, luminosity);
193	<	LcorrJZBSBem = allsamples.Draw("LcorrJZBSBem", "mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&smallerzero,data, luminosity);
194	<	RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm","mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&largerzero,data, luminosity);
195	<	LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm","mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&smallerzero,data, luminosity);
196	<	}
197	<
198	<	TH1F Bpred = (TH1F)LcorrJZBeemm->Clone("Bpred");
199	<	if(PlottingSetup::RestrictToMassPeak) {
200	<	Bpred->Add(RcorrJZBem,1.0/3.);
201	<	Bpred->Add(LcorrJZBem,-1.0/3.);
202	<	Bpred->Add(RcorrJZBSBem,1.0/3.);
203	<	Bpred->Add(LcorrJZBSBem,-1.0/3.);
204	<	Bpred->Add(RcorrJZBSBeemm,1.0/3.);
205	<	Bpred->Add(LcorrJZBSBeemm,-1.0/3.);
206	<	} else {
207	<	Bpred->Add(RcorrJZBem,1.0);
208	<	Bpred->Add(LcorrJZBem,-1.0);
209	<	}
210	<
192	>	RcorrJZBSBem = allsamples.Draw("RcorrJZBSBem", "mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&largerzeroD,data, luminosity);
193	>	LcorrJZBSBem = allsamples.Draw("LcorrJZBSBem", "mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&smallerzeroD,data, luminosity);
194	>	RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm","mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&largerzeroD,data, luminosity);
195	>	LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm","mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&smallerzeroD,data, luminosity);
196	>	}
197	>
198	>	// Separate predictions
199	>	TH1F* SFN = (TH1F*)LcorrJZBeemm->Clone("SFN");
200	>	TH1F* OFP = (TH1F*)RcorrJZBem->Clone("OFP");
201	>	TH1F* OFN = (TH1F*)LcorrJZBem->Clone("OFN");
202	>	if(PlottingSetup::RestrictToMassPeak) {
203	>	OFP->Scale(1.0/3.0);
204	>	OFP->Add(RcorrJZBSBem,1.0/3.);
205	>	OFP->Add(RcorrJZBSBeemm,1.0/3.);
206	>	OFN->Scale(1.0/3.0);
207	>	OFN->Add(LcorrJZBSBem,1.0/3.);
208	>	OFN->Add(LcorrJZBSBeemm,1.0/3.);
209	>	}
210	>
211	>	TH1F* Bpred = (TH1F*)SFN->Clone("Bpred");
212	>	Bpred->Add(OFP);
213	>	Bpred->Add(OFN,-1);
214		Bpred->SetLineColor(kRed);
215
216	+	RcorrJZBeemm->SetTitleOffset(1.3,"y");
217		RcorrJZBeemm->Draw();
218		mcRcorrJZBeemm.Draw("same");
219		Bpred->Draw("histo,same");
#	Line 140 \| Line 228 \| void make_special_obs_pred_mll_plot(stri
228		stringstream saveas;
229		saveas << "kin/Mll_After_Cut/Cut_At" << jzbthreshold;
230		CompleteSave(ckin,saveas.str());
231	+
232	+	// Draw all predictions overlayed
233	+	unsigned int w = gStyle->GetHistLineWidth()+1; // Make line a bit wider, since we dash it
234	+	SFN->SetLineColor(kGreen+2);
235	+	SFN->SetLineStyle(2);
236	+	SFN->SetLineWidth(w);
237	+	OFP->SetLineColor(kBlue+2);
238	+	OFP->SetLineStyle(2);
239	+	OFP->SetLineWidth(w);
240	+	OFN->SetLineColor(kMagenta+2);
241	+	OFN->SetLineStyle(3);
242	+	OFN->SetLineWidth(w);
243	+
244	+	RcorrJZBeemm->Draw();
245	+	SFN->Draw("histo,same");
246	+	OFP->Draw("histo,same");
247	+	OFN->Draw("histo,same");
248	+	Bpred->Draw("histo,same");
249	+	RcorrJZBeemm->Draw("same");
250	+
251	+	TLegend *leg2 = make_legend("",0.52,0.7);
252	+	leg2->AddEntry(RcorrJZBeemm,"observed (data)","lp");
253	+	leg2->AddEntry(Bpred,"predicted (data)","l");
254	+	leg2->AddEntry(SFN, " SF JZB<0","l");
255	+	leg2->AddEntry(OFN, " OF JZB<0","l");
256	+	leg2->AddEntry(OFP, " OF JZB>0","l");
257	+	leg2->Draw("same");
258	+
259	+	saveas.str("");
260	+	saveas << "kin/Mll_After_Cut/Cut_At" << jzbthreshold << "_nomc";
261	+	CompleteSave(ckin,saveas.str());
262	+
263	+
264
265		delete RcorrJZBeemm;
266		delete LcorrJZBeemm;
#	Line 189 \| Line 310 \| void make_special_mll_plot(int nbins, fl
310		TIter next(bgleg->GetListOfPrimitives());
311		TObject* obj;
312		// Copy the nice bkgd legend skipping the "data"
313	<	while ( obj = next() )
313	>	while ( (obj = next()) )
314		if ( strcmp(((TLegendEntry*)obj)->GetObject()->GetName(),"datahistoOSSF") )
315		kinleg->GetListOfPrimitives()->Add(obj);
316
#	Line 208 \| Line 329 \| *void draw_ratio_plot(TH1 hdata, THStack**
329		TIter next(hmc.GetHists());
330		TObject* obj;
331		TH1* hratio = NULL;
332	<	while ( obj = next() ) {
332	>	while ( (obj = next()) ) {
333		if ( !hratio ) {
334		hratio = (TH1*)obj->Clone();
335		hratio->SetName("hratio");
#	Line 269 \| Line 390 \| void make_kin_plot(string variable, stri
390		TCut cut;
391		cut=cutmass&&cutOSSF&&cutnJets&&ibasiccut;
392		if(filename=="nJets") cut=cutmass&&cutOSSF&&ibasiccut;
393	+	if(filename=="nJets_osof") cut=cutmass&&cutOSOF&&ibasiccut;
394		if(filename=="nJets_nocuts_except_mll_ossf") cut=cutmass&&cutOSSF;
395		if(filename=="mll") {
396		cut=cutOSSF&&cutnJets&&ibasiccut;
#	Line 280 \| Line 402 \| void make_kin_plot(string variable, stri
402		draw_separation_lines=true;
403		}
404		if(filename=="mll_mm") cut=cutOSSF&&cutnJets&&ibasiccut&&"id1==1";
405	<	if(Contains(filename,"mll_aboveJZB100")) cut=cutOSSF&&cutnJets&&ibasiccut;
405	>	if(Contains(filename,"aboveJZB")) cut=cutOSSF&&cutnJets&&ibasiccut;
406	>	if(Contains(filename,"mll_ee_above")) cut=cut&&"id1==0";
407	>	if(Contains(filename,"mll_mm_above")) cut=cut&&"id1==1";
408		if(Contains(filename,"mll_osof_aboveJZB")) cut=cutOSOF&&cutnJets&&ibasiccut;
409		if(filename=="mll_inclusive"\|\|filename=="mll_inclusive_highrange") cut=cutOSSF;
410		if(filename=="mll_inclusive_osof") cut=cutOSOF;
#	Line 293 \| Line 417 \| void make_kin_plot(string variable, stri
417		ckin->SetLogy(logscale);
418		TH1F *datahisto = allsamples.Draw("datahisto",variable,nbins,min,max, xlabel, "events",cut,data,luminosity);
419		datahisto->SetMarkerSize(DataMarkerSize);
420	<	THStack mcstack = allsamples.DrawStack("mcstack",variable,nbins,min,max, xlabel, "events",cut,mc,luminosity);
420	>	if ( !logscale ) datahisto->SetMinimum(0); // Defaults
421	>	else datahisto->SetMinimum(0.5);
422	>	// Custom max.
423	>	if(variable=="TMath::Abs(pfJetDphiMet[0])") datahisto->SetMaximum(1.5*datahisto->GetMaximum());
424		if(variable=="pfJetGoodPt[0]") datahisto->SetMaximum(10*datahisto->GetMaximum());
425		if(variable=="pt") datahisto->SetMaximum(10*datahisto->GetMaximum());
426	<	if(filename=="mll_inclusive") datahisto->SetMinimum(1);
426	>	if(filename=="mll_inclusive"\|\|filename=="mll_inclusive_mm"\|\|filename=="mll_inclusive_ee") datahisto->SetMinimum(1);
427		if(filename=="mll_osof") datahisto->SetMaximum(10*datahisto->GetMaximum());
428		if(filename=="mll_osof") datahisto->SetMinimum(9);
429	+	if (logscale) datahisto->SetMaximum(5.3*datahisto->GetMaximum());
430	+	else datahisto->SetMaximum(1.3*datahisto->GetMaximum());
431
303	–	datahisto->SetMaximum(5.3*datahisto->GetMaximum());
304	–	datahisto->Draw("e1");
305	–	ckin->Update();
432		if(loadlastminmax) {
433		datahisto->SetMinimum(lastrange_min);
434		datahisto->SetMaximum(lastrange_max);
#	Line 312 \| Line 438 \| void make_kin_plot(string variable, stri
438		}
439		}
440
441	+	// Draw signal by hand (for some reason I don't manage to use the sample class: it adds it to the stack!)
442	+	string signal("LM3");
443	+	TH1F* signalhisto = new TH1F("signalhisto",signal.c_str(),nbins,min,max);
444	+	int idx = signalsamples.FindSample(signal)[0];
445	+	(signalsamples.collection)[idx].events->Project("signalhisto",variable.c_str(),cut);
446	+	signalhisto->Scale((signalsamples.collection)[idx].weight*luminosity);
447	+	signalhisto->SetLineColor(kOrange);
448	+
449	+	THStack mcstack = allsamples.DrawStack("mcstack", variable,nbins,min,max,xlabel,"events",cut,mc,luminosity);
450	+	datahisto->Draw("e1");
451	+	ckin->Update();
452		mcstack.Draw("same");
453	+
454		datahisto->Draw("same,e1");
455		TLegend *kinleg = allsamples.allbglegend();
456		kinleg->Draw();
#	Line 355 \| Line 493 \| void make_kin_plot(string variable, stri
493		kinpad->SetLogy(logscale);
494		datahisto->Draw("e1");
495		mcstack.Draw("same");
496	+	signalhisto->Draw("same");
497		datahisto->Draw("same,e1");
498		datahisto->Draw("same,axis");
499		if(RestrictToMassPeak&&draw_separation_lines) {
#	Line 362 \| Line 501 \| void make_kin_plot(string variable, stri
501		upperboundary->Draw("same");
502		}
503
504	+	kinleg->AddEntry("signalhisto",signal.c_str(),"l");
505		kinleg->Draw();
506		write_cut->Draw();
507		DrawPrelim();
#	Line 379 \| Line 519 \| void make_kin_plot(string variable, stri
519		delete ckin;
520		}
521
522	<	void make_JES_plot() {
522	>	void make_JES_plot(TCut cut, string name) {
523
524		int nbins=10;
525		float min=-0.5;
526		float max = 9.5;
527		bool logscale=true;
528		string xlabel="nJets";
389	–	TCut cut=cutmass&&cutOSSF&&basiccut;
529
530		TCanvas *ckin = new TCanvas("ckin","Kinematic Plots (in the making)",600,600);
531		ckin->SetLogy(logscale);
532	<	TH1F *datahisto = allsamples.Draw("datahisto","pfJetGoodNum",nbins,min,max, xlabel, "events",cut,data,luminosity);
532	>	TH1F *datahisto = allsamples.Draw("datahisto","pfJetGoodNum40",nbins,min,max, xlabel, "events",cut,data,luminosity);
533		datahisto->SetMarkerSize(DataMarkerSize);
534	<	THStack mcstack = allsamples.DrawStack("mcstack","pfJetGoodNum",nbins,min,max, xlabel, "events",cut,mc,luminosity);
535	<	TH1F *JESup = allsamples.Draw("JESup","pfJetGoodNum315",nbins,min,max, xlabel, "events",cut,mc,luminosity);
536	<	TH1F *JESdn = allsamples.Draw("JESdn","pfJetGoodNum285",nbins,min,max, xlabel, "events",cut,mc,luminosity);
534	>	THStack mcstack = allsamples.DrawStack("mcstack","pfJetGoodNum40",nbins,min,max, xlabel, "events",cut,mc,luminosity);
535	>	TH1F *JESup = allsamples.Draw("JESup","pfJetGoodNum40p1sigma",nbins,min,max, xlabel, "events",cut,mc,luminosity);
536	>	TH1F *JESdn = allsamples.Draw("JESdn","pfJetGoodNum40n1sigma",nbins,min,max, xlabel, "events",cut,mc,luminosity);
537
538		datahisto->SetMinimum(1);
539		datahisto->SetMaximum(5.3*datahisto->GetMaximum()); // in line with kinematic plots style
#	Line 419 \| Line 558 \| void make_JES_plot() {
558		TLegend *kinleg = allsamples.allbglegend();
559		kinleg->AddEntry(JESunc,"JES uncertainty","f");
560		kinleg->Draw();
561	<	CompleteSave(ckin,"Systematics/JES");
561	>	CompleteSave(ckin,"Systematics/JES"+name);
562		datahisto->Delete();
563		delete ckin;
564
#	Line 430 \| Line 569 \| void do_kinematic_plots(string mcjzb, st
569		bool dolog=true;
570		bool nolog=false;
571		if(doPF) write_warning(__FUNCTION__,"Please use caution when trying to produce PF plots; not all versions of the JZB trees have these variables!");
572	<	float mll_low=40;
572	>	float mll_low=50;
573		float mll_hi=160;
574		if(!PlottingSetup::RestrictToMassPeak) {
575	<	mll_low=10;
576	<	mll_hi=210;
575	>	mll_low=20;
576	>	mll_hi=300;
577		}
578	<	/*
578	>
579	>	make_kin_plot("met[4]","",70,0,350,dolog,"MET [GeV]","met",doPF,true);
580	>
581		make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll",doPF,true);
582		make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_osof",doPF,true,true);
583		make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_ee",doPF,true);
584		make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_mm",doPF,true);
585	<	make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive",doPF,true);
586	<	make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_ee",doPF,true);
587	<	make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_mm",doPF,true);
588	<	make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_osof",doPF,true);
589	<	make_kin_plot("mll","",(int)((350-mll_low)),mll_low,350,dolog,"m_{ll} [GeV]","mll_inclusive_highrange",doPF);/*
449	<	make_kin_plot("numVtx","",(int)(30.5-(-0.5)),-0.5,30.5,nolog,"N(Vtx)","numVtx",doPF);
450	<	make_kin_plot("jetpt[0]","",40,0,200,dolog,"leading jet p_{T} [GeV]","pfJetGoodPt_0",doPF);
451	<	make_kin_plot("jeteta[0]","",40,-5,5,nolog,"leading jet #eta","pfJetGoodEta_0",doPF);
452	<	make_kin_plot("pt","",50,0,400,dolog,"Z p_{T} [GeV]","Zpt",doPF);
453	<	make_kin_plot("pt1","",50,0,100,nolog,"p_{T} [GeV]","pt1",doPF);
454	<	make_kin_plot("pt2","",50,0,100,nolog,"p_{T} [GeV]","pt2",doPF);
455	<	make_kin_plot("eta1","",40,-5,5,nolog,"#eta_{l}","eta",doPF);
456	<	make_kin_plot("jzb[1]","",100,-150,150,dolog,"JZB [GeV]","jzb_ossf",doPF);
457	<	make_kin_plot("pfJetGoodNum","",8,0.5,8.5,dolog,"nJets","nJets",doPF);
458	<	make_kin_plot("pfJetGoodNum","",8,0.5,8.5,dolog,"nJets","nJets_nocuts_except_mll_ossf",doPF);//
585	>	make_kin_plot("mll","",(int)((mll_hi-mll_low))/5,mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive",doPF,true);
586	>	make_kin_plot("mll","",(int)((mll_hi-mll_low))/5,mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_ee",doPF,true);
587	>	make_kin_plot("mll","",(int)((mll_hi-mll_low))/5,mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_mm",doPF,true);
588	>	make_kin_plot("mll","",(int)((mll_hi-mll_low))/5,mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_osof",doPF,true);
589	>	make_kin_plot("mll","",(int)((350-mll_low))/5,mll_low,350,dolog,"m_{ll} [GeV]","mll_inclusive_highrange",doPF);
590		if(!doPF) make_special_mll_plot((int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]");
591	+
592	+	make_kin_plot("pfJetGoodPt[0]/pfJetGoodPt[1]","",45,1,10,dolog,"pt_{j}^{1}/pt_{j}^{2}","j1j2ratio",doPF,true);
593	+	make_kin_plot("TMath::Abs(pfJetDphiMet[0])","",32,0,3.2,nolog,"\|#Delta#phi(jet1,MET)\|","dphiJ1MET",doPF,true);
594	+
595	+	make_kin_plot("pfJetGoodNum40","",9,-0.5,8.5,dolog,"nJets","nJets",doPF);
596	+	make_kin_plot("pfJetGoodNum40","",9,-0.5,8.5,dolog,"nJets","nJets_osof",doPF);
597	+	make_kin_plot("pfJetGoodNum40","",9,-0.5,8.5,dolog,"nJets","nJets_nocuts_except_mll_ossf",doPF);
598	+
599	+	make_kin_plot("numVtx","",(int)(30.5-(-0.5)),-0.5,30.5,nolog,"N(Vtx)","numVtx",doPF);
600	+	// make_kin_plot("jetpt[0]","",40,0,200,dolog,"leading jet p_{T} [GeV]","pfJetGoodPt_0",doPF);
601	+	// make_kin_plot("jeteta[0]","",40,-5,5,nolog,"leading jet #eta","pfJetGoodEta_0",doPF);
602	+	make_kin_plot("pt","",50,0,500,dolog,"Z p_{T} [GeV]","Zpt",doPF);
603	+	make_kin_plot("pt1","",50,0,200,nolog,"p_{T} [GeV]","pt1",doPF);
604	+	make_kin_plot("pt2","",50,0,200,nolog,"p_{T} [GeV]","pt2",doPF);
605	+	make_kin_plot("eta1","",40,-3,3,nolog,"#eta_{l}","eta",doPF);
606	+	make_kin_plot("jzb[1]","",100,-150,200,dolog,"JZB [GeV]","jzb_ossf",doPF);
607		stringstream jzbcut;
608		jzbcut << "((is_data&&("<<datajzb<<")>100)\|\|(!is_data&&("<<mcjzb<<")>100))";
609	<	make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB100",doPF,true);
610	<	make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_osof_aboveJZB100",doPF,true);
611	<	make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB100",doPF,true);
612	<	make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_osof_aboveJZB100",doPF,true);
609	>	make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_aboveJZB100",doPF,true);
610	>	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);
611	>	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);
612	>	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);
613		stringstream jzbcut2;
614		jzbcut2 << "((is_data&&("<<datajzb<<")>150)\|\|(!is_data&&("<<mcjzb<<")>150))";
615	<	make_kin_plot("mll",jzbcut2.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB150",doPF,true);
616	<	make_kin_plot("mll",jzbcut2.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_osof_aboveJZB150",doPF,true);
615	>	make_kin_plot("mll",jzbcut2.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_aboveJZB150",doPF,true);
616	>	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);
617	>	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);
618	>	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);
619		stringstream jzbcut3;
620		jzbcut3 << "((is_data&&("<<datajzb<<")>50)\|\|(!is_data&&("<<mcjzb<<")>50))";
621	<	make_kin_plot("mll",jzbcut3.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB50",doPF,true); make_kin_plot("mll",jzbcut3.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_osof_aboveJZB50",doPF,true,true);
622	<	*/
623	<	make_special_obs_pred_mll_plot(mcjzb,50);
624	<	make_special_obs_pred_mll_plot(mcjzb,100);
625	<	make_special_obs_pred_mll_plot(mcjzb,150);
626	<	make_special_obs_pred_mll_plot(mcjzb,200);
627	<	make_special_obs_pred_mll_plot(mcjzb,250);
621	>	make_kin_plot("mll",jzbcut3.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_aboveJZB50",doPF,true);
622	>	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);
623	>	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);
624	>	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);
625	>
626	>	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",doPF,true);
627	>
628	>	make_special_obs_pred_mll_plot(datajzb,mcjzb,0);
629	>	make_special_obs_pred_mll_plot(datajzb,mcjzb,50);
630	>	make_special_obs_pred_mll_plot(datajzb,mcjzb,80);
631	>	make_special_obs_pred_mll_plot(datajzb,mcjzb,100);
632	>	// make_special_obs_pred_mll_plot(datajzb,mcjzb,150);
633	>	// make_special_obs_pred_mll_plot(datajzb,mcjzb,200);
634	>	// make_special_obs_pred_mll_plot(datajzb,mcjzb,250);
635	>
636	>	make_JES_plot(cutmass&&cutOSSF&&basiccut,"_ossf");
637	>	make_JES_plot(cutmass&&cutOSOF&&basiccut,"_osof");
638	>
639	>
640		}
641
642		void make_comp_plot( string var, string xlabel, string filename, float jzbcut, string mcjzb, string datajzb,
643		int nbins, float xmin, float xmax, bool log,
644		float ymin=0, float ymax=0, bool leftJustified=false ) {
645	<	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- WATCH OUT: the argument in the function changed!
645	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- WATCH OUT: the argument in the function changed!
646
647		TCut weightbackup=cutWeight;//backing up the correct weight (restoring below!)
648		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__));
649	<	if(var=="numVtx") cutWeight=TCut("1.0");
649	>	//if(var=="numVtx") cutWeight=TCut("1.0");
650		TCut jzbData[]= { TCut(TString(datajzb+">"+any2string(jzbcut))),TCut(TString(datajzb+"<-"+any2string(jzbcut))) };
651		TCut jzbMC[] = { TCut(TString(mcjzb+">"+any2string(jzbcut))),TCut(TString(mcjzb+"<-"+any2string(jzbcut))) };
652
#	Line 509 \| Line 670 \| void make_comp_plot( string var, string
670		TCanvas *ccomp = new TCanvas("ccomp","Comparison plot",600,400);
671		ccomp->SetLogy(log);
672		TH1F *datahisto = allsamples.Draw("datahisto", var,nbins,xmin,xmax,xlabel,"events",kRegions[iregion]&&jzbData[ijzb],data,luminosity);
673	<	TH1F *lm4histo = signalsamples.Draw("lm4histo", var,nbins,xmin,xmax,xlabel,"events",kRegions[iregion]&&jzbData[ijzb],data,luminosity,signalsamples.FindSample("LM4"));
673	>	TH1F *lm3histo = signalsamples.Draw("lm3histo", var,nbins,xmin,xmax,xlabel,"events",kRegions[iregion]&&jzbMC[ijzb],data,luminosity,signalsamples.FindSample("LM3"));
674		THStack mcstack = allsamples.DrawStack("mcstack",var,nbins,xmin,xmax,xlabel,"events",kRegions[iregion]&&jzbMC[ijzb], mc, luminosity);
675		datahisto->SetMarkerSize(DataMarkerSize);
676		if (ymax>ymin) datahisto->SetMaximum(ymax);
677	<	lm4histo->SetLineStyle(2);
677	>	lm3histo->SetLineStyle(2);
678		datahisto->Draw("e1");
679		mcstack.Draw("same");
680		datahisto->Draw("same,e1");
681	<	// lm4histo->Draw("hist,same");
681	>	lm3histo->Draw("hist,same");
682		TLegend *kinleg = allsamples.allbglegend((sRegions[iregion]+(ijzb?"neg":"pos")).c_str());
683		if ( leftJustified ) {
684		Float_t w = kinleg->GetX2()-kinleg->GetX1();
685		kinleg->SetX1(0.2);
686		kinleg->SetX2(0.2+w);
687		}
688	<	// kinleg->AddEntry(lm4histo,"LM4","l");
688	>	kinleg->AddEntry(lm3histo,"LM3","l");
689		kinleg->Draw();
690		TText* write_variable = write_text(0.99,0.01,var);
691		write_variable->SetTextAlign(31);
#	Line 533 \| Line 694 \| void make_comp_plot( string var, string
694		CompleteSave(ccomp,"compare/JZBcut_at_"+any2string(jzbcut)+"/"+filename+"/"+filename+sRegions[iregion]+(ijzb?"neg":"pos"));
695		delete datahisto;
696		delete ccomp;
697	<	delete lm4histo;
697	>	delete lm3histo;
698		}
699		cutWeight=weightbackup;
700		}
#	Line 543 \| Line 704 \| void region_comparison_plots(string mcjz
704		dout << "Creating comparison plots for signal and control regions" << endl;
705		// Compare a few quantities in the signal region and all 7 control regions
706
707	<	switch_overunderflow(true); // switching overflow/underflow bins on
707	>	// switch_overunderflow(true); // switching overflow/underflow bins on
708
709
710		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- the arguments changed
711	<	for(int ijzb=0;ijzb<jzb_cuts.size();ijzb++) {
711	>	for(int ijzb=0;ijzb<(int)jzb_cuts.size();ijzb++) {
712		float jzbcut=jzb_cuts[ijzb]; // Comparison plots are done for this JZB cut
713		float mll_low=50;float mll_high=170;
714		if(!PlottingSetup::RestrictToMassPeak) {
715	<	mll_high=200;
716	<	mll_low=50;
715	>	mll_high=300;
716	>	mll_low=20;
717		}
718	<	make_comp_plot("mll","m_{ll} [GeV]","mll",jzbcut,mcjzb,datajzb,30,mll_low,mll_high,false,0,16.);
718	>	make_comp_plot("pfJetGoodPt[0]/pfJetGoodPt[1]","pt_{j}^{1}/pt_{j}^{2}","j1j2ratio",jzbcut,mcjzb,datajzb,100,0,10,true);
719	>	make_comp_plot("TMath::Abs(pfJetDphiMet[0])","\|#Delta#phi(jet1,MET)\|","dphiJ1MET",jzbcut,mcjzb,datajzb,32,0,3.2,false,0,0,true);
720	>
721	>	make_comp_plot("mll","m_{ll} [GeV]","mll",jzbcut,mcjzb,datajzb,56,mll_low,mll_high,false,0,16.);
722		make_comp_plot("met[4]","pfMET [GeV]","pfmet",jzbcut,mcjzb,datajzb,18,0,360,false,0,16.);
723	<	make_comp_plot("pfJetGoodNum","#(jets)","njets",jzbcut,mcjzb,datajzb,10,0,10, false,0,35.);
723	>	make_comp_plot("pfJetGoodNum40","#(jets)","njets",jzbcut,mcjzb,datajzb,10,0,10, false,0,35.);
724	>	make_comp_plot("pfJetGoodNumBtag","#(b-jets)","nBjets",jzbcut,mcjzb,datajzb,10,0,10, false,0,35.);
725		make_comp_plot("pt","Z p_{T} [GeV]","Zpt",jzbcut,mcjzb,datajzb,26,0,525,false,0.,21.);
726	<	make_comp_plot("numVtx","#(prim. vertices)","nvtx",jzbcut,mcjzb,datajzb,20,0.,20.,false,0,16.);
726	>	make_comp_plot("numVtx","#(prim. vertices)","nvtx",jzbcut,mcjzb,datajzb,40,0.,40.,false,0,16.);
727		make_comp_plot("TMath::Abs(dphi)","#Delta#phi(leptons)","dphilep",jzbcut,mcjzb,datajzb,10,0.,3.1415,false,0,16.,true);
728		make_comp_plot("TMath::Abs(dphi_sumJetVSZ[1])","#Delta#phi(Z,jets)","dphiZjets",jzbcut,mcjzb,datajzb,10,0.,3.1415,false,0,16.,true);
729	+	make_comp_plot("eta1","#eta_1","eta1",jzbcut,mcjzb,datajzb,10,0.,2.5,false,0,16.);
730	+	make_comp_plot("eta2","#eta_2","eta2",jzbcut,mcjzb,datajzb,10,0.,2.5,false,0,16.);
731		}
732
733		switch_overunderflow(false); // switching overflow/underflow bins off
#	Line 854 \| Line 1021 \| if you want to start from scratch (witho
1021		return return_functions;
1022		}
1023
1024	<	void do_prediction_plot(string jzb, TCanvas *globalcanvas, float sigma, float high, int use_data, bool overlay_signal = false,string subdir="" )
1024	>	void do_prediction_plot(string jzb, TCanvas *globalcanvas, float high, int use_data, bool overlay_signal = false,string subdir="" )
1025		{
1026	<	// note: sigma is not used ATM
860	<	switch_overunderflow(true);
1026	>	// switch_overunderflow(true);
1027		bool is_data=false;
1028		bool use_signal=false;
1029		if(use_data==1) is_data=true;
#	Line 867 \| Line 1033 \| void do_prediction_plot(string jzb, TCan
1033		float low=0;
1034		float hi=500;
1035
870	–	stringstream largerzeroS;
871	–	largerzeroS << "("<<jzb<<">0)";
872	–	TCut largerzero(largerzeroS.str().c_str());
873	–	stringstream smallerzeroS;
874	–	smallerzeroS << "("<<jzb<<"<0)";
875	–	TCut smallerzero(smallerzeroS.str().c_str());
876	–
1036		TH1F *blankback = new TH1F("blankback","blankback",int(high/10),0,high);
1037	<	TH1F *RcorrJZBeemm = allsamples.Draw("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
1038	<	TH1F *LcorrJZBeemm = allsamples.Draw("LcorrJZBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
1039	<	TH1F *RcorrJZBem = allsamples.Draw("RcorrJZBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
1040	<	TH1F *LcorrJZBem = allsamples.Draw("LcorrJZBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
1037	>	TH1F *RcorrJZBeemm = allsamples.Draw("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1038	>	TH1F *LcorrJZBeemm = allsamples.Draw("LcorrJZBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1039	>	TH1F *RcorrJZBem = allsamples.Draw("RcorrJZBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1040	>	TH1F *LcorrJZBem = allsamples.Draw("LcorrJZBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1041
1042		blankback->GetXaxis()->SetTitle(RcorrJZBeemm->GetXaxis()->GetTitle());
1043		blankback->GetYaxis()->SetTitle(RcorrJZBeemm->GetYaxis()->GetTitle());
#	Line 895 \| Line 1054 \| void do_prediction_plot(string jzb, TCan
1054
1055		//these are for the ratio
1056
1057	<	TH1F *JRcorrJZBeemm = allsamples.Draw("JRcorrJZBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
1058	<	TH1F *JLcorrJZBeemm = allsamples.Draw("JLcorrJZBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
1059	<	TH1F *JRcorrJZBem = allsamples.Draw("JRcorrJZBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
1060	<	TH1F *JLcorrJZBem = allsamples.Draw("JLcorrJZBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
1057	>	TH1F *JRcorrJZBeemm = allsamples.Draw("JRcorrJZBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1058	>	TH1F *JLcorrJZBeemm = allsamples.Draw("JLcorrJZBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1059	>	TH1F *JRcorrJZBem = allsamples.Draw("JRcorrJZBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1060	>	TH1F *JLcorrJZBem = allsamples.Draw("JLcorrJZBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1061
1062		TH1F *JRcorrJZBSBem;
1063		TH1F *JLcorrJZBSBem;
1064		TH1F *JRcorrJZBSBeemm;
1065		TH1F *JLcorrJZBSBeemm;
1066
1067	<	if(use_data==2 \|\| overlay_signal) RcorrJZBeemmNoS = allsamples.Draw("RcorrJZBeemmNoS",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,false);
1067	>	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);
1068
1069
1070		if(PlottingSetup::RestrictToMassPeak) {
1071	<	RcorrJZBSBem = allsamples.Draw("RcorrJZBSBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
1072	<	LcorrJZBSBem = allsamples.Draw("LcorrJZBSBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
1073	<	RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
1074	<	LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
1071	>	RcorrJZBSBem = allsamples.Draw("RcorrJZBSBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1072	>	LcorrJZBSBem = allsamples.Draw("LcorrJZBSBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1073	>	RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1074	>	LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1075
1076		//these are for the ratio
1077	<	JRcorrJZBSBem = allsamples.Draw("JRcorrJZBSBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
1078	<	JLcorrJZBSBem = allsamples.Draw("JLcorrJZBSBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
1079	<	JRcorrJZBSBeemm = allsamples.Draw("JRcorrJZBSBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
1080	<	JLcorrJZBSBeemm = allsamples.Draw("JLcorrJZBSBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
1077	>	JRcorrJZBSBem = allsamples.Draw("JRcorrJZBSBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1078	>	JLcorrJZBSBem = allsamples.Draw("JLcorrJZBSBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1079	>	JRcorrJZBSBeemm = allsamples.Draw("JRcorrJZBSBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1080	>	JLcorrJZBSBeemm = allsamples.Draw("JLcorrJZBSBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1081		}
1082
1083		TH1F *lm4RcorrJZBeemm;
1084	<	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&&largerzero,is_data, luminosity,allsamples.FindSample("LM"));
1084	>	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"));
1085
1086		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- prediction changed.
1087
#	Line 931 \| Line 1090 \| void do_prediction_plot(string jzb, TCan
1090
1091		TH1F Bpred = (TH1F)LcorrJZBeemm->Clone("Bpred");
1092		TH1F JBpred = (TH1F)JLcorrJZBeemm->Clone("Bpred");
1093	+
1094	+	TH1F *BpredSys = new TH1F("Bpredsys","Bpredsys",PlottingSetup::global_ratio_binning.size()-1,&PlottingSetup::global_ratio_binning[0]);
1095	+	ClearHisto(BpredSys);
1096	+
1097		if(PlottingSetup::RestrictToMassPeak) {
1098		Bpred->Add(RcorrJZBem,1.0/3.);
1099		Bpred->Add(LcorrJZBem,-1.0/3.);
#	Line 953 \| Line 1116 \| void do_prediction_plot(string jzb, TCan
1116		JBpred->Add(JLcorrJZBSBem,-1.0/3.);
1117		JBpred->Add(JRcorrJZBSBeemm,1.0/3.);
1118		JBpred->Add(JLcorrJZBSBeemm,-1.0/3.);
1119	+
1120	+	//Systematics:
1121	+	AddSquared(BpredSys,JLcorrJZBeemm,zjetsestimateuncertONPEAK*zjetsestimateuncertONPEAK);
1122	+	AddSquared(BpredSys,JRcorrJZBem,emuncertONPEAKemuncertONPEAK(1.0/9));
1123	+	AddSquared(BpredSys,JLcorrJZBem,emuncertONPEAKemuncertONPEAK(1.0/9));
1124	+	AddSquared(BpredSys,JRcorrJZBSBem,emsidebanduncertONPEAKemsidebanduncertONPEAK(1.0/9));
1125	+	AddSquared(BpredSys,JLcorrJZBSBem,emsidebanduncertONPEAKemsidebanduncertONPEAK(1.0/9));
1126	+	AddSquared(BpredSys,JRcorrJZBSBeemm,eemmsidebanduncertONPEAKeemmsidebanduncertONPEAK(1.0/9));
1127	+	AddSquared(BpredSys,JLcorrJZBSBeemm,eemmsidebanduncertONPEAKeemmsidebanduncertONPEAK(1.0/9));
1128		} else {
1129		Bpred->Add(RcorrJZBem,1.0);
1130		Bpred->Add(LcorrJZBem,-1.0);
#	Line 962 \| Line 1134 \| void do_prediction_plot(string jzb, TCan
1134		//these are for the ratio
1135		JBpred->Add(JRcorrJZBem,1.0);
1136		JBpred->Add(JLcorrJZBem,-1.0);
1137	+
1138	+	//Systematics
1139	+	AddSquared(BpredSys,JLcorrJZBeemm,zjetsestimateuncertOFFPEAK*zjetsestimateuncertOFFPEAK);
1140	+	AddSquared(BpredSys,JRcorrJZBem,emuncertOFFPEAK*emuncertOFFPEAK);
1141	+	AddSquared(BpredSys,JLcorrJZBem,emuncertOFFPEAK*emuncertOFFPEAK);
1142	+
1143		}
1144
1145	<
1145	>	SQRT(BpredSys);
1146	>	BpredSys->Divide(JBpred);
1147	>
1148
1149		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- prediction changed
1150		TH1F Tpred = (TH1F)RcorrJZBem->Clone("Bpred");
#	Line 1009 \| Line 1189 \| void do_prediction_plot(string jzb, TCan
1189		blankback->Draw();
1190		if(use_data==1)
1191		{
1192	+	//Bpred->SetLineWidth(3); //paper style.overruled.
1193	+	//lm4RcorrJZBeemm->SetLineWidth(3); //paper style.overruled.
1194		analytical_function = do_extended_fit_to_plot(Bpred,Tpred,LcorrJZBeemm,LcorrJZBem,is_data);
1195		kinpad->cd();//necessary because the extended fit function creates its own canvas
1196		RcorrJZBeemm->Draw("e1x0,same");
1197
1198		Bpred->Draw("hist,same");
1199	<	analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1199	>	//analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1200		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1201		lm4RcorrJZBeemm->Draw("hist,same");
1202		legBpred->AddEntry(RcorrJZBeemm,"observed","p");
1203		legBpred->AddEntry(Bpred,"predicted","l");
1204	<	legBpred->AddEntry(analytical_function[1],"predicted fit","l");
1205	<	legBpred->AddEntry(analytical_function[2],"stat. uncert.","l");
1206	<	if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1204	>	// legBpred->AddEntry(analytical_function[1],"predicted fit","l");
1205	>	// legBpred->AddEntry(analytical_function[2],"stat. uncert.","l");
1206	>	legBpred->AddEntry(lm4RcorrJZBeemm,(allsamples.collection[allsamples.FindSample("LM")[0]].samplename).c_str(),"l");
1207		legBpred->Draw();
1208		DrawPrelim();
1209
#	Line 1050 \| Line 1232 \| void do_prediction_plot(string jzb, TCan
1232		Bpred->Draw("hist,same");
1233		// analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1234		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1235	<	// TH1F lm4RcorrJZBeemmC = (TH1F)lm4RcorrJZBeemm->Clone("lm4RcorrJZBeemmC");
1054	<	// lm4RcorrJZBeemmC->SetLineColor(kOrange+1);
1055	<	lm4RcorrJZBeemm->SetLineColor(kOrange+1);
1056	<	// lm4RcorrJZBeemmC->Draw("histo,same");
1235	>	// lm4RcorrJZBeemm->SetLineColor(kOrange+1);
1236		lm4RcorrJZBeemm->SetLineWidth(2);
1237	+	//lm4RcorrJZBeemm->SetLineWidth(2); // paper style. overruled.
1238		lm4RcorrJZBeemm->Draw("histo,same");
1239		DrawPrelim();
1240		TLegend *speciallegBpred = make_legend("",0.45,0.55);
1241	+	//TLegend *speciallegBpred = make_legend("",0.35,0.55); // paper style. overruled.
1242		speciallegBpred->AddEntry(RcorrJZBeemm,"Data","pl");
1243		speciallegBpred->AddEntry(Bpred,"Total background","l");
1244		speciallegBpred->AddEntry(jzbnegative,"JZB<0 (data)","f");
1245	<	speciallegBpred->AddEntry(sidebandsemu,"Sidebands/e#mu (data)","f");
1245	>	if(PlottingSetup::RestrictToMassPeak) speciallegBpred->AddEntry(sidebandsemu,"Sidebands/e#mu (data)","f");
1246	>	else speciallegBpred->AddEntry(sidebandsemu,"e#mu (data)","f");
1247		// speciallegBpred->AddEntry(lm4RcorrJZBeemmC,"LM4","l");
1248		speciallegBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1249		speciallegBpred->Draw();
1250	<	save_with_ratio(JRcorrJZBeemm,JBpred,predcomppad,subdir+"Bpred_Data_____PredictionComposition",true,use_data!=1,"data/pred");
1250	>	save_with_ratio(JRcorrJZBeemm,JBpred,predcomppad,subdir+"Bpred_Data_____PredictionComposition",true,true,"data/pred",BpredSys);
1251
1252		TCanvas *specialcanv = new TCanvas("specialcanv","specialcanv");
1253	<	THStack kostack = allsamples.DrawStack("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,!is_data, luminosity,use_signal);
1253	>	specialcanv->SetLogy(1);
1254	>	// THStack kostack = allsamples.DrawStack("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,!is_data, luminosity,use_signal);
1255		blankback->Draw();
1256	<	kostack.Draw("same");
1256	>	// kostack.Draw("same");
1257	>	predcomposition.Draw();
1258		Bpred->Draw("hist,same");
1259	<	analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1259	>	//analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1260		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1261		legBpred->Draw();
1262		DrawPrelim();
1263		CompleteSave(specialcanv,subdir+"Bpred_Data_____PredictionCompositioninMC");
1264		Bpred->SetLineWidth((int)CurrentBpredLineWidth);
1265
1266	+
1267	+	//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;
1268	+
1269		delete speciallegBpred;
1270		delete Zjetspred;
1271		delete TTbarpred;
#	Line 1087 \| Line 1274 \| void do_prediction_plot(string jzb, TCan
1274		}
1275		if(use_data==0) {
1276		RcorrJZBeemm->Draw("e1x0,same");
1277	+	//Bpred->SetLineWidth(3); // paper style. overruled.
1278		Bpred->Draw("hist,same");
1279		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1280		legBpred->AddEntry(RcorrJZBeemm,"MC true","p");
1281	<	legBpred->AddEntry(Bpred,"MC predicted","l");
1281	>	legBpred->AddEntry(Bpred,"MC predicted","l");
1282		if(versok) legBpred->AddEntry((TObject*)0,"",""); // Just for alignment // causes seg fault on root v5.18
1283		if(versok) legBpred->AddEntry((TObject*)0,"",""); // causes seg fault on root v5.18
1284		if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
#	Line 1101 \| Line 1289 \| void do_prediction_plot(string jzb, TCan
1289		}
1290		if(use_data==2) {
1291		RcorrJZBeemm->Draw("e1x0,same");
1292	+	//Bpred->SetLineWidth(3); // paper style. overruled.
1293		Bpred->Draw("hist,same");
1294		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1295		legBpred->AddEntry(RcorrJZBeemm,"MC true","p");
#	Line 1116 \| Line 1305 \| void do_prediction_plot(string jzb, TCan
1305		// CompleteSave(globalcanvas,"Bpred_MCwithS"); // done below in save_with_ratio
1306		}
1307		{
1308	+	//lm4RcorrJZBeemm->SetLineWidth(3); //paper style. overruled.
1309	+	//RcorrJZBeemmNoS->SetLineWidth(3); //paper style. overruled.
1310	+	//lm4RcorrJZBeemm->SetLineStyle(2); //paper style. overruled.
1311	+	//RcorrJZBeemmNoS->SetLineStyle(3); //paper style. overruled.
1312	+	//lm4RcorrJZBeemm->SetLineColor(kOrange+1); //paper style. overruled.
1313	+
1314		RcorrJZBeemmNoS->SetLineStyle(2);
1315		legBpred2->AddEntry(RcorrJZBeemmNoS,"MC B","l");
1316		legBpred2->AddEntry(lm4RcorrJZBeemm,"MC S","l");
#	Line 1135 \| Line 1330 \| void do_prediction_plot(string jzb, TCan
1330		string ytitle("ratio");
1331		if ( use_data==1 ) ytitle = "data/pred";
1332		//save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,Bpredsaveas,true,use_data!=1,ytitle);
1333	<	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,subdir+Bpredsaveas,true,false,ytitle);//not extending the y range anymore up to 4
1333	>	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,subdir+Bpredsaveas,true,false,ytitle,BpredSys);//not extending the y range anymore up to 4
1334
1335
1336		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1337	<	/// The part below is meaningless for the offpeak analysis (it's a comparison of the different estimates but there is but one estimate!)
1337	>	// The part below is meaningless for the offpeak analysis (it's a comparison of the different estimates but there is but one estimate!)
1338		if(PlottingSetup::RestrictToMassPeak) {
1339		TH1F Bpredem = (TH1F)LcorrJZBeemm->Clone("Bpredem");
1340		Bpredem->Add(RcorrJZBem);
#	Line 1201 \| Line 1396 \| void do_prediction_plot(string jzb, TCan
1396		}
1397		}
1398
1399	+	TFile *f = new TFile("tester.root","RECREATE");
1400	+	RcorrJZBeemm->Write();
1401	+	Bpred->Write();
1402	+	f->Close();
1403	+
1404		delete RcorrJZBeemm;
1405		delete LcorrJZBeemm;
1406		delete RcorrJZBem;
#	Line 1213 \| Line 1413 \| void do_prediction_plot(string jzb, TCan
1413
1414		delete blankback;
1415
1416	+	delete BpredSys;
1417		if(PlottingSetup::RestrictToMassPeak) {
1418		delete RcorrJZBSBem;
1419		delete LcorrJZBSBem;
#	Line 1230 \| Line 1431 \| void do_prediction_plot(string jzb, TCan
1431
1432		void do_prediction_plots(string mcjzb, string datajzb, float DataSigma, float MCSigma, bool overlay_signal ) {
1433		TCanvas *globalcanvas = new TCanvas("globalcanvas","Prediction Canvas");
1434	<	do_prediction_plot(datajzb,globalcanvas,DataSigma,jzbHigh ,data,overlay_signal);
1435	<	do_prediction_plot(mcjzb,globalcanvas,MCSigma,jzbHigh ,mc,overlay_signal);
1436	<	do_prediction_plot(mcjzb,globalcanvas,MCSigma,jzbHigh ,mcwithsignal,overlay_signal);
1434	>	do_prediction_plot(datajzb,globalcanvas,jzbHigh ,data,overlay_signal);
1435	>	if ( !PlottingSetup::Approved ) {
1436	>	do_prediction_plot(mcjzb,globalcanvas,jzbHigh ,mc,overlay_signal);
1437	>	do_prediction_plot(mcjzb,globalcanvas,jzbHigh ,mcwithsignal,overlay_signal);
1438	>	} else {
1439	>	write_info(__FUNCTION__,"You set approved to true, therefore not producing prediction/observation plots for MC with and without signal.");
1440	>	}
1441		}
1442
1443		void do_ratio_plot(int is_data,vector<float> binning, string jzb, TCanvas *can, float high=-9999) {
#	Line 1569 \| Line 1774 \| void draw_pure_jzb_histo(TCut cut,string
1774		datahisto->Draw("same,e1");
1775
1776		TLegend *leg;
1777	<	if(is_OF(cut) && is_ZP(cut)) leg = allsamples.allbglegend("OFZP",datahisto);
1778	<	else if(!is_OF(cut) && is_ZP(cut)) leg = allsamples.allbglegend("SFZP",datahisto);
1779	<	else if( is_OF(cut) && !is_ZP(cut)) leg = allsamples.allbglegend("OFSB",datahisto);
1780	<	else if(!is_OF(cut) && !is_ZP(cut)) leg = allsamples.allbglegend("SFSB",datahisto);
1781	<	else {
1782	<	std::cerr << "Unable to decode cut: " << cut.GetTitle() << std::endl;
1783	<	exit(-1);
1784	<	}
1777	>	if (!PlottingSetup::RestrictToMassPeak) {
1778	>	if(is_OF(cut)) leg = allsamples.allbglegend("Opposite flavor",datahisto);
1779	>	else leg = allsamples.allbglegend("Same flavor",datahisto);
1780	>	} else {
1781	>	if(is_OF(cut) && is_ZP(cut)) leg = allsamples.allbglegend("OFZP",datahisto);
1782	>	else if(!is_OF(cut) && is_ZP(cut)) leg = allsamples.allbglegend("SFZP",datahisto);
1783	>	else if( is_OF(cut) && !is_ZP(cut)) leg = allsamples.allbglegend("OFSB",datahisto);
1784	>	else if(!is_OF(cut) && !is_ZP(cut)) leg = allsamples.allbglegend("SFSB",datahisto);
1785	>	else {
1786	>	std::cerr << "Unable to decode cut: " << cut.GetTitle() << std::endl;
1787	>	exit(-1);
1788	>	}
1789	>	}
1790		leg->Draw();
1791		string write_cut = decipher_cut(cut,"");
1792		TText *writeline1 = write_cut_on_canvas(write_cut.c_str());
#	Line 1652 \| Line 1862 \| void diboson_plots(string mcjzb, string
1862
1863
1864		dout << "Going to increase the cross section for diboson samples ... " << endl;
1865	<	for(int i=0;i<SamplesToBeModified.size();i++) {
1865	>	for(int i=0;i<(int)SamplesToBeModified.size();i++) {
1866		float origxs=(allsamples.collection)[SamplesToBeModified[i]].xs;
1867		(allsamples.collection)[SamplesToBeModified[i]].xs=origxs*stretchfactor;
1868		dout << " Increased xs for sample " << (allsamples.collection)[SamplesToBeModified[i]].filename << " from " << origxs << " to " << (allsamples.collection)[SamplesToBeModified[i]].xs << " (by a factor of " << stretchfactor << ")" << endl;
#	Line 1662 \| Line 1872 \| void diboson_plots(string mcjzb, string
1872		}
1873
1874		dout << "Going to produce JZB plots" << endl;
1875	<	// produce_stretched_jzb_plots(mcjzb,datajzb,ratio_binning);
1875	>	produce_stretched_jzb_plots(mcjzb,datajzb,ratio_binning);
1876		TCanvas *gloca = new TCanvas("gloca","gloca");
1667	–	float sigma=123456;
1877
1878		dout << "Going to produce prediction plots" << endl;
1879	<	do_prediction_plot(mcjzb, gloca, sigma, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do only MC plots, no signal
1880	<	do_prediction_plot(mcjzb, gloca, sigma, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do MC plots with signal
1879	>	do_prediction_plot(mcjzb, gloca, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do only MC plots, no signal
1880	>	do_prediction_plot(mcjzb, gloca, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do MC plots with signal
1881		delete gloca;
1882
1883		dout << "Going to reset the cross section for diboson samples ... " << endl;
1884	<	for(int i=0;i<SamplesToBeModified.size();i++) {
1884	>	for(int i=0;i<(int)SamplesToBeModified.size();i++) {
1885		float Upxs=(allsamples.collection)[SamplesToBeModified[i]].xs;
1886		(allsamples.collection)[SamplesToBeModified[i]].xs=(allsamples.collection)[SamplesToBeModified[i]].xs*(1.0/stretchfactor);
1887		string Upname=(allsamples.collection)[SamplesToBeModified[i]].samplename;
#	Line 1682 \| Line 1891 \| void diboson_plots(string mcjzb, string
1891		}
1892
1893		}
1894	+
1895	+
1896	+	void draw_normalized_data_vs_data_histo(TCut cut1, TCut cut2, string variable, string legentry1, string legentry2, string savename, TCanvas *can,vector<float> binning) {
1897	+	TPad *jzbpad = new TPad("jzbpad","jzbpad",0,0,1,1);
1898	+	jzbpad->cd();
1899	+	jzbpad->SetLogy(1);
1900	+	string xlabel="JZB [GeV]";
1901	+
1902	+	TH1F *datahisto1 = allsamples.Draw("datahisto1",variable,binning, xlabel, "events",cut1,data,luminosity);
1903	+	datahisto1->SetLineColor(kRed);
1904	+	datahisto1->SetMarkerColor(kRed);
1905	+	TH1F *datahisto2 = allsamples.Draw("datahisto2",variable,binning, xlabel, "events",cut2,data,luminosity);
1906	+	datahisto2->SetLineColor(kBlue);
1907	+	datahisto2->SetMarkerColor(kBlue);
1908	+
1909	+	datahisto2->SetMarkerSize(DataMarkerSize);
1910	+	datahisto1->DrawNormalized("e1");
1911	+	datahisto2->DrawNormalized("histo,same");
1912	+	datahisto1->DrawNormalized("same,e1");
1913	+
1914	+	TLegend *leg = make_legend();
1915	+	leg->AddEntry(datahisto1,legentry1.c_str());
1916	+	leg->AddEntry(datahisto2,legentry2.c_str());
1917	+	leg->Draw();
1918	+
1919	+	save_with_ratio(datahisto1,datahisto2,jzbpad->cd(),("jzb/"+savename));
1920	+
1921	+	datahisto1->Delete();
1922	+	datahisto2->Delete();
1923	+	}
1924	+
1925	+
1926		void jzb_plots(string mcjzb, string datajzb,vector<float> ratio_binning) {
1927		TCanvas *can = new TCanvas("can","JZB Plots Canvas");
1928		float max=jzbHigh ;
#	Line 1695 \| Line 1936 \| void jzb_plots(string mcjzb, string data
1936		for(int i=0;i<=coarserbins;i++)coarse_binning.push_back(min+i*(max-min)/((float)coarserbins));
1937		for(int i=0;i<=rebinnedbins;i++)coarsest_binning.push_back(min+i*(max-min)/((float)rebinnedbins));
1938
1939	<	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP",can,binning);
1940	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP",can,binning);
1941	<	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_SFZP",can,binning);
1942	<	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_SFZP",can,binning);
1943	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_OFZP",can,binning);
1944	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_OFZP",can,binning);
1945	<	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1946	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB",can,binning);
1947	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB",can,binning);
1939	>	if ( !PlottingSetup::Approved ) {
1940	>	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP",can,binning);
1941	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP",can,binning);
1942	>	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_SFZP",can,binning);
1943	>	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_SFZP",can,binning);
1944	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_OFZP",can,binning);
1945	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_OFZP",can,binning);
1946	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1947	>	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB",can,binning);
1948	>	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB",can,binning);
1949	>	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);
1950	>	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);
1951	>	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);
1952	>
1953	>	}
1954
1955		draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP_coarse",can,coarse_binning);
1956	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP_coarse",can,coarse_binning);
1957	<	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1958	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB_coarse",can,coarse_binning);
1959	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB_coarse",can,coarse_binning);
1960	<
1961	<	// draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP_coarsest",can,coarsest_binning);
1715	<	// draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP_coarsest",can,coarsest_binning);
1716	<	// flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1717	<	// if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB_coarsest",can,coarsest_binning);
1718	<	// if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB_coarsest",can,coarsest_binning);
1956	>	if ( !PlottingSetup::Approved ) {
1957	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP_coarse",can,coarse_binning);
1958	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1959	>	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB_coarse",can,coarse_binning);
1960	>	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB_coarse",can,coarse_binning);
1961	>	}
1962		delete can;
1963		}
1964
#	Line 1771 \| Line 2014 \| void compute_MC_yields(string mcjzb,vect
2014		string posneg[] = {"pos","neg"};
2015		TCut tkRegions[] = {cutOSSF&&cutnJets&&cutmass,cutOSOF&&cutnJets&&cutmass,cutOSSF&&cutnJets&&sidebandcut,cutOSOF&&cutnJets&&sidebandcut};
2016
2017	<	for(int ijzb=0;ijzb<jzb_cuts.size();ijzb++) {
2017	>	for(int ijzb=0;ijzb<(int)jzb_cuts.size();ijzb++) {
2018		TCut jzbMC[] = { give_jzb_expression(mcjzb,jzb_cuts[ijzb],"pos"), give_jzb_expression(mcjzb,jzb_cuts[ijzb],"neg") };
2019		dout << "_________________________________________________________" << endl;
2020		dout << "Table for JZB> " << jzb_cuts[ijzb] << endl;
2021	<	for(int isample=0;isample<(allsamples.collection).size();isample++) {
2021	>	for(int isample=0;isample<(int)(allsamples.collection).size();isample++) {
2022		if(!(allsamples.collection)[isample].is_data) dout << (allsamples.collection)[isample].samplename << " & ";
2023		else dout << "Sample & ";
2024		for(int iregion=0;iregion<nRegions;iregion++) {
#	Line 2034 \| Line 2277 \| void draw_ttbar_and_zjets_shape_for_one_
2277
2278		void draw_ttbar_and_zjets_shape(string mcjzb, string datajzb) {
2279		int all_leptons=-1;
2037	–	int electrons_only=0;
2038	–	int mu_only=1;
2039	–	int twojetswith50gev=1;
2280		int threejetswith30gev=0;
2281		/*
2282	+	int twojetswith50gev=1;
2283	+	int electrons_only=0;
2284	+	int mu_only=1;
2285	+
2286		draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,all_leptons,twojetswith50gev);
2287		draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,all_leptons,threejetswith30gev);
2288
#	Line 2052 \| Line 2296 \| void draw_ttbar_and_zjets_shape(string m
2296		draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,all_leptons,threejetswith30gev,true);
2297		}
2298
2299	<	void find_correction_factors(string &jzbvardata,string &jzbvarmc) {
2056	<	//first: colorful plots
2299	>	float find_one_correction_factor(string FindKeyword, bool dodata, TCut SpecialCut, string SaveAs) {
2300		TCanvas *cancorr = new TCanvas("cancorr","Canvas for Response Correction");
2301		cancorr->SetLogz();
2302		cancorr->SetRightMargin(0.13);
2303	<	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
2304	<	TCut zptforresponsepresentation("pt<600"&&cutmass&&cutOSSF&&"((sumJetPt[1]/pt)<5.0)");
2303	>	TCut zptforresponsepresentation(Restrmasscut&&SpecialCut&&passtrig);
2304	>
2305	>	if(PlottingSetup::DoBTag) zptforresponsepresentation=zptforresponsepresentation&&PlottingSetup::bTagRequirement;
2306		TH2F *niceresponseplotd = new TH2F("niceresponseplotd","",100,0,600,100,0,5);
2307	<	(allsamples.collection)[allsamples.FindSample("Data")[0]].events->Draw("sumJetPt[1]/pt:pt>>niceresponseplotd",zptforresponsepresentation);
2307	>	niceresponseplotd->Sumw2();
2308	>	TH2F* emuResponse = (TH2F*)niceresponseplotd->Clone("emuResponse");
2309	>	vector<int> SampleIndices=allsamples.FindSample(FindKeyword);
2310	>	for(int iSample=0;iSample<(int)SampleIndices.size();iSample++) {
2311	>	if((allsamples.collection)[SampleIndices[iSample]].is_data && !dodata) continue;
2312	>	if((allsamples.collection)[SampleIndices[iSample]].is_data ==false && dodata) continue;
2313	>
2314	>	dout << " Response correction : Using sample " << (allsamples.collection)[SampleIndices[iSample]].filename << " for " << FindKeyword << endl;
2315	>	(allsamples.collection)[SampleIndices[iSample]].events->Draw("sumJetPt[1]/pt:pt>>+niceresponseplotd",(zptforresponsepresentation&&cutOSSF)*cutWeight);
2316	>	(allsamples.collection)[SampleIndices[iSample]].events->Draw("sumJetPt[1]/pt:pt>>+emuResponse",(zptforresponsepresentation&&cutOSOF)*cutWeight);
2317	>	}
2318	>	niceresponseplotd->Add(emuResponse,-1);
2319	>
2320		niceresponseplotd->SetStats(0);
2321		niceresponseplotd->GetXaxis()->SetTitle("Z p_{T} [GeV]");
2322		niceresponseplotd->GetYaxis()->SetTitle("Response");
#	Line 2068 \| Line 2324 \| void find_correction_factors(string &jzb
2324		niceresponseplotd->GetYaxis()->CenterTitle();
2325		niceresponseplotd->Draw("COLZ");
2326		TProfile * profd = (TProfile*)niceresponseplotd->ProfileX();
2327	+	profd->Rebin(2);
2328		profd->SetMarkerSize(DataMarkerSize);
2329	<	profd->Fit("pol0","","same,e1",30,400);
2329	>	profd->Fit("pol0","","same,e1",100,400);
2330		DrawPrelim();
2331	<	TText* title = write_text(0.5,0.7,"Data");
2331	>	string stitle="Data";
2332	>	if(!Contains(FindKeyword,"Data")) stitle="MC";
2333	>	TText* title = write_text(0.5,0.7,stitle.c_str());
2334		title->SetTextAlign(12);
2335		title->Draw();
2336		TF1 datapol=(TF1)profd->GetFunction("pol0");
2337	<	float datacorrection=datapol->GetParameter(0);
2338	<	stringstream dataresstring;
2339	<	dataresstring<<"Response: "<<std::setprecision(2)<<100*datacorrection<<" %";
2340	<	TText* restitle = write_text(0.5,0.65,dataresstring.str());
2337	>	float correction=datapol->GetParameter(0);
2338	>	stringstream resstring;
2339	>	resstring<<"Response: "<<std::setprecision(2)<<100*correction<<" %";
2340	>	TText* restitle = write_text(0.5,0.65,resstring.str());
2341		restitle->SetTextAlign(12);
2342		restitle->SetTextSize(0.03);
2343		restitle->Draw();
2344	<	CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_Data");
2345	<
2346	<	TH2F *niceresponseplotm = new TH2F("niceresponseplotm","",100,0,600,100,0,5);
2347	<	(allsamples.collection)[allsamples.FindSample("DY")[0]].events->Draw("sumJetPt[1]/pt:pt>>niceresponseplotm",zptforresponsepresentation);
2348	<	niceresponseplotm->SetStats(0);
2349	<	niceresponseplotm->GetXaxis()->SetTitle("Z p_{T} [GeV]");
2350	<	niceresponseplotm->GetYaxis()->SetTitle("Response");
2351	<	niceresponseplotm->GetXaxis()->CenterTitle();
2093	<	niceresponseplotm->GetYaxis()->CenterTitle();
2094	<	niceresponseplotm->Draw("COLZ");
2095	<	(allsamples.collection)[allsamples.FindSample("DY")[0]].events->Draw("sumJetPt[1]/pt:pt",zptforresponsepresentation,"PROF,same");
2096	<	TProfile * profm = (TProfile*)niceresponseplotm->ProfileX();
2097	<	profm->SetMarkerSize(DataMarkerSize);
2098	<	profm->Fit("pol0","","same,e1",30,400);
2099	<	DrawMCPrelim();
2100	<	title = write_text(0.5,0.7,"MC simulation");
2101	<	title->SetTextAlign(12);
2102	<	title->Draw();
2103	<	TF1 mcpol=(TF1)profm->GetFunction("pol0");
2104	<	float mccorrection=mcpol->GetParameter(0);
2105	<	stringstream mcresstring;
2106	<	mcresstring<<"Response: "<<std::setprecision(2)<<100*mccorrection<<" %";
2107	<	TText* mcrestitle = write_text(0.5,0.65,mcresstring.str());
2108	<	mcrestitle->SetTextAlign(12);
2109	<	mcrestitle->SetTextSize(0.03);
2110	<	mcrestitle->Draw();
2111	<	CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_MC");
2344	>	CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_New_"+SaveAs);
2345	>	delete cancorr;
2346	>	delete niceresponseplotd;
2347	>	delete profd;
2348	>	return correction;
2349	>	}
2350	>
2351	>	void find_correction_factors(string &jzbvardata,string &jzbvarmc) {
2352
2353	+	dout << "Computing response corrections: " << endl;
2354	+	//Step 1 : Get results
2355	+	float datacorrection=find_one_correction_factor("Data",true,"","Data");
2356	+	float mccorrection=find_one_correction_factor("DY",false,"","MC");
2357	+
2358	+	float dataEEcorrection=find_one_correction_factor("Data",true,"id1==0","Data_ee");
2359	+	float mcEEcorrection=find_one_correction_factor("DY",false,"id1==0","MC_ee");
2360	+
2361	+	float dataMMcorrection=find_one_correction_factor("Data",true,"id1==1","Data_mm");
2362	+	float mcMMcorrection=find_one_correction_factor("DY",false,"id1==1","MC_mm");
2363	+
2364	+	cout << "Corrections : " << endl;
2365	+	cout << " Data : " << datacorrection << endl;
2366	+	cout << " ee (" << dataEEcorrection << ") , mm (" << dataMMcorrection << ")" << endl;
2367	+	cout << " MC : " << mccorrection << endl;
2368	+	cout << " ee (" << mcEEcorrection << ") , mm (" << mcMMcorrection << ")" << endl;
2369
2370	<	//Step 2: Getting the result
2115	<	// TCut zptcutforresponse("pt>30&&pt<300&&TMath::Abs(91.2-mll)<20&&id1==id2&&(ch1*ch2<0)");
2370	>	//Step 2: Processing the result and making it into something useful :-)
2371		stringstream jzbvardatas;
2372	<	if(datacorrection>1) jzbvardatas<<"(jzb[1]-"<<datacorrection-1<<"*pt)";
2373	<	if(datacorrection<1) jzbvardatas<<"(jzb[1]+"<<1-datacorrection<<"*pt)";
2372	>	jzbvardatas << "(";
2373	>
2374	>	if(dataEEcorrection>=1) jzbvardatas<<"((id1==0&&id1==id2)(jzb[1]-" << dataEEcorrection-1 << "pt))";
2375	>	if(dataEEcorrection<1) jzbvardatas<<"((id1==0&&id1==id2)(jzb[1]+" << 1-dataEEcorrection << "pt))";
2376	>
2377	>	if(dataMMcorrection>=1) jzbvardatas<<"+((id1==1&&id1==id2)(jzb[1]-" << dataMMcorrection-1 << "pt))";
2378	>	if(dataMMcorrection<1) jzbvardatas<<"+((id1==1&&id1==id2)(jzb[1]+" << 1-dataMMcorrection << "pt))";
2379	>
2380	>	float averagecorrection=(dataMMcorrection+dataEEcorrection)/2.0;
2381	>
2382	>	if(datacorrection>=1) jzbvardatas<<"+((id1!=id2)(jzb[1]-" << datacorrection-1 << "pt))";
2383	>	if(datacorrection<1) jzbvardatas<<"+((id1!=id2)(jzb[1]+" << 1-datacorrection << "pt))";
2384	>
2385	>	jzbvardatas << ")";
2386		jzbvardata=jzbvardatas.str();
2387	+
2388		stringstream jzbvarmcs;
2389	<	if(mccorrection>1) jzbvarmcs<<"(jzb[1]-"<<mccorrection-1<<"*pt)";
2390	<	if(mccorrection<1) jzbvarmcs<<"(jzb[1]+"<<1-mccorrection<<"*pt)";
2389	>	jzbvarmcs << "(";
2390	>
2391	>	if(mcEEcorrection>=1) jzbvarmcs<<"((id1==0&&id1==id2)(jzb[1]-" << mcEEcorrection-1 << "pt))";
2392	>	if(mcEEcorrection<1) jzbvarmcs<<"((id1==0&&id1==id2)(jzb[1]+" << 1-mcEEcorrection << "pt))";
2393	>
2394	>	if(mcMMcorrection>=1) jzbvarmcs<<"+((id1==1&&id1==id2)(jzb[1]-" << mcMMcorrection-1 << "pt))";
2395	>	if(mcMMcorrection<1) jzbvarmcs<<"+((id1==1&&id1==id2)(jzb[1]+" << 1-mcMMcorrection << "pt))";
2396	>
2397	>	float averagemccorrection=(mcMMcorrection+mcEEcorrection)/2.0;
2398	>
2399	>	if(mccorrection>=1) jzbvarmcs<<"+((id1!=id2)(jzb[1]-" << mccorrection-1 << "pt))";
2400	>	if(mccorrection<1) jzbvarmcs<<"+((id1!=id2)(jzb[1]+" << 1-mccorrection << "pt))";
2401	>
2402	>	jzbvarmcs << ")";
2403		jzbvarmc=jzbvarmcs.str();
2404	+
2405		dout << "JZB Z pt correction summary : " << endl;
2406		dout << " Data: The response is " << datacorrection << " --> jzb variable is now : " << jzbvardata << endl;
2407		dout << " MC : The response is " << mccorrection << " --> jzb variable is now : " << jzbvarmc << endl;
2408	+
2409		}
2410
2411		void pick_up_events(string cut) {
#	Line 2131 \| Line 2413 \| void pick_up_events(string cut) {
2413		allsamples.PickUpEvents(cut);
2414		}
2415
2416	<	void save_template(string mcjzb, string datajzb,vector<float> jzb_cuts,float MCPeakError,float DataPeakError) {
2416	>	void save_template(string mcjzb, string datajzb,vector<float> jzb_cuts,float MCPeakError,float DataPeakError, vector<float> jzb_shape_limit_bins) {
2417		dout << "Saving configuration template!" << endl;
2418		ofstream configfile;
2419		configfile.open("../DistributedModelCalculations/last_configuration.C");
#	Line 2151 \| Line 2433 \| void save_template(string mcjzb, string
2433		configfile<<"string datajzb=\"datajzb_ERROR\";\n";
2434		configfile<<"string mcjzb=\"mcjzb_ERROR\";\n";
2435		configfile<<"vector<float>jzb_cuts;\n";
2436	+	configfile<<"vector<float>jzb_shape_limit_bins;\n";
2437		configfile<<"float MCPeakError=-999;\n";
2438		configfile<<"float DataPeakError=-999;\n";
2439		configfile<<"}\n\n";
#	Line 2160 \| Line 2443 \| void save_template(string mcjzb, string
2443		configfile<<"mcjzb=\""<<mcjzb<<"\";\n\n";
2444		configfile<<"\n\nMCPeakError="<<MCPeakError<<";\n";
2445		configfile<<"DataPeakError="<<DataPeakError<<";\n\n";
2446	<	for(int i=0;i<jzb_cuts.size();i++) configfile<<"jzb_cuts.push_back("<<jzb_cuts[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2446	>	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";
2447	>	configfile<<"\n\n";
2448	>	for(int i=0;i<(int)Nobs.size();i++) configfile<<"Nobs.push_back("<<Nobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2449	>	for(int i=0;i<(int)Npred.size();i++) configfile<<"Npred.push_back("<<Npred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2450	>	for(int i=0;i<(int)Nprederr.size();i++) configfile<<"Nprederr.push_back("<<Nprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2451		configfile<<"\n\n";
2452	<	for(int i=0;i<Nobs.size();i++) configfile<<"Nobs.push_back("<<Nobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2453	<	for(int i=0;i<Npred.size();i++) configfile<<"Npred.push_back("<<Npred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2454	<	for(int i=0;i<Nprederr.size();i++) configfile<<"Nprederr.push_back("<<Nprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2452	>	for(int i=0;i<(int)flippedNobs.size();i++) configfile<<"flippedNobs.push_back("<<flippedNobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2453	>	for(int i=0;i<(int)flippedNpred.size();i++) configfile<<"flippedNpred.push_back("<<flippedNpred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2454	>	for(int i=0;i<(int)flippedNprederr.size();i++) configfile<<"flippedNprederr.push_back("<<flippedNprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2455	>	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";
2456		configfile<<"\n\n";
2169	–	for(int i=0;i<flippedNobs.size();i++) configfile<<"flippedNobs.push_back("<<flippedNobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2170	–	for(int i=0;i<flippedNpred.size();i++) configfile<<"flippedNpred.push_back("<<flippedNpred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2171	–	for(int i=0;i<flippedNprederr.size();i++) configfile<<"flippedNprederr.push_back("<<flippedNprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2457		configfile<<"\n\n";
2458		configfile<<"luminosity="<<luminosity<<";\n";
2459		configfile<<"RestrictToMassPeak="<<RestrictToMassPeak<<";//defines the type of analysis we're running\n";
#	Line 2194 \| Line 2479 \| *void draw_all_ttbar_histos(TCanvas can,**
2479		float max=histos[0]->GetMaximum();
2480		if(manualmin>=0) min=manualmin;
2481		else {
2482	<	for(int i=1;i<histos.size();i++) {
2482	>	for(int i=1;i<(int)histos.size();i++) {
2483		float curmin=get_nonzero_minimum(histos[i]);
2484		float curmax=histos[i]->GetMaximum();
2485		if(curmin<min) min=curmin;
#	Line 2205 \| Line 2490 \| *void draw_all_ttbar_histos(TCanvas can,**
2490		histos[0]->Draw(drawoption.c_str());
2491		stringstream drawopt;
2492		drawopt << drawoption << ",same";
2493	<	for(int i=1;i<histos.size();i++) {
2493	>	for(int i=1;i<(int)histos.size();i++) {
2494		histos[i]->Draw(drawopt.str().c_str());
2495		}
2496		}
#	Line 2214 \| Line 2499 \| void ttbar_sidebands_comparison(string m
2499		//in the case of the on peak analysis, we compare the 3 control regions to the real value
2500		//in the case of the OFF peak analysis, we compare our control region to the real value
2501		TCut weightbackup=cutWeight;
2217	–	cutWeight="1.0";
2218	–	float simulatedlumi = luminosity; //in pb please - adjust to your likings
2502
2503	+	bool doPURW=false;
2504	+
2505	+
2506	+	if(!doPURW) {
2507	+	dout << "Not doing PU reweighting for ttbar closure test" << endl;
2508	+	cutWeight="1.0";
2509	+	// Do it without PU re-weighting
2510	+	float MCPeakNoPU=0,MCPeakErrorNoPU=0,DataPeakNoPU=0,DataPeakErrorNoPU=0,MCSigma=0,DataSigma=0;
2511	+	stringstream resultsNoPU;
2512	+	stringstream noPUdatajzb;
2513	+	stringstream noPUmcjzb;
2514	+
2515	+	stringstream mcjzbnoPU;
2516	+	find_peaks(MCPeakNoPU,MCPeakErrorNoPU, DataPeakNoPU, DataPeakErrorNoPU,resultsNoPU,true,noPUdatajzb,noPUmcjzb);
2517	+	mcjzb = noPUmcjzb.str();
2518	+	}
2519
2520	<	TH1F *TZem = systsamples.Draw("TZem",mcjzb,binning,"JZB [GeV]","events",cutmass&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2520	>
2521	>	float simulatedlumi = luminosity; //in pb please - adjust to your likings
2522	>
2523	>	TH1F *TZem = systsamples.Draw("TZem", mcjzb,binning,"JZB [GeV]","events",cutmass&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2524		TH1F *nTZem = systsamples.Draw("nTZem","-"+mcjzb,binning,"JZB [GeV]","events",cutmass&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2525		TH1F *TSem;
2526		TH1F *nTSem;
2527	<	TH1F *TZeemm = systsamples.Draw("TZeemm",mcjzb,binning,"JZB [GeV]","events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2527	>	TH1F *TZeemm = systsamples.Draw("TZeemm", mcjzb,binning,"JZB [GeV]","events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2528		TH1F *nTZeemm = systsamples.Draw("nTZeemm","-"+mcjzb,binning,"JZB [GeV]","events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2529		TH1F *TSeemm;
2530		TH1F *nTSeemm;
2531
2532		if(PlottingSetup::RestrictToMassPeak) {
2533	<	TSem = systsamples.Draw("TSem",mcjzb,binning,"JZB [GeV]","events",sidebandcut&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2534	<	nTSem = systsamples.Draw("nTSem","-"+mcjzb,binning,"JZB [GeV]","events",sidebandcut&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2535	<	TSeemm = systsamples.Draw("TSeemm",mcjzb,binning,"JZB [GeV]","events",sidebandcut&&cutOSSF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2533	>	TSem = systsamples.Draw("TSem", mcjzb,binning,"JZB [GeV]","events",sidebandcut&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2534	>	nTSem = systsamples.Draw("nTSem", "-"+mcjzb,binning,"JZB [GeV]","events",sidebandcut&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2535	>	TSeemm = systsamples.Draw("TSeemm", mcjzb,binning,"JZB [GeV]","events",sidebandcut&&cutOSSF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2536		nTSeemm = systsamples.Draw("nTSeemm","-"+mcjzb,binning,"JZB [GeV]","events",sidebandcut&&cutOSSF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2537		}
2538
2539		TCanvas *tcan = new TCanvas("tcan","tcan");
2238	–
2540		tcan->SetLogy(1);
2541
2542		TZeemm->SetLineColor(kBlack);
#	Line 2254 \| Line 2555 \| void ttbar_sidebands_comparison(string m
2555		}
2556
2557		vector<TH1F*> histos;
2558	+	TZem->GetXaxis()->SetRangeUser(-100,binning[binning.size()-1]);
2559	+	TZeemm->GetXaxis()->SetRangeUser(-100,binning[binning.size()-1]);
2560		histos.push_back(TZem);
2561		histos.push_back(TZeemm);
2562		if(PlottingSetup::RestrictToMassPeak) {
2563	+	TSeemm->GetXaxis()->SetRangeUser(-100,binning[binning.size()-1]);
2564	+	TSem->GetXaxis()->SetRangeUser(-100,binning[binning.size()-1]);
2565		histos.push_back(TSem);
2566		histos.push_back(TSeemm);
2567		}
2568	<	draw_all_ttbar_histos(tcan,histos,"histo",0.04);
2568	>	draw_all_ttbar_histos(tcan,histos,"histo",1);
2569
2570		TLegend *leg = make_legend("MC t#bar{t}",0.6,0.65,false);
2571		leg->AddEntry(TZeemm,"SFZP","l");
#	Line 2272 \| Line 2577 \| void ttbar_sidebands_comparison(string m
2577		leg->Draw("same");
2578		DrawMCPrelim(simulatedlumi);
2579		CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_shape_comparison");
2275	–	cout << __LINE__ << endl;
2580		TH1F TZemcopy = (TH1F)TZem->Clone("TZemcopy");
2277	–	cout << __LINE__ << endl;
2581		TH1F TZeemmcopy = (TH1F)TZeemm->Clone("TZeemmcopy");
2279	–	cout << __LINE__ << endl;
2582		TH1F *TSeemmcopy;
2583		TH1F *TSemcopy;
2584		if(PlottingSetup::RestrictToMassPeak) {
#	Line 2291 \| Line 2593 \| cout << __LINE__ << endl;
2593		TSeemm->Divide(TZeemm);
2594		TSem->SetMarkerStyle(24);
2595		TSeemm->SetMarkerStyle(32);
2596	<	}
2596	>	}
2597
2598		tcan->SetLogy(0);
2599		TZem->GetYaxis()->SetRangeUser(0,2.5);
#	Line 2302 \| Line 2604 \| cout << __LINE__ << endl;
2604		TSeemm->Draw("same");
2605		}
2606
2607	<	float linepos=0.25;
2608	<	if(PlottingSetup::RestrictToMassPeak) linepos=0.25;
2609	<	if(!PlottingSetup::RestrictToMassPeak) linepos=0.1; //sys uncertainty for iJZB
2607	>	float linepos=emuncertONPEAK;
2608	>	if(!PlottingSetup::RestrictToMassPeak) linepos=emuncertOFFPEAK;
2609	>
2610		TLine *top = new TLine(binning[0],1.0+linepos,binning[binning.size()-1],1.0+linepos);
2611		TLine *center = new TLine(binning[0],1.0,binning[binning.size()-1],1.0);
2612		TLine *bottom = new TLine(binning[0],1.0-linepos,binning[binning.size()-1],1.0-linepos);
#	Line 2340 \| Line 2642 \| cout << __LINE__ << endl;
2642		DrawMCPrelim(simulatedlumi);
2643		CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_shape_comparison_ratio");
2644
2645	+	if (0) { // Turn this off: we don't need this
2646
2647	<	///-------------- second part: only look at the quantity we actually care about!
2648	<	TH1F leftsfzp = (TH1F)nTZeemm->Clone("leftsfzp");
2649	<	TH1F rightsfzp = (TH1F)TZeemmcopy->Clone("rightsfzp");
2650	<	rightsfzp->Add(leftsfzp,-1);
2651	<	TH1F leftofzp = (TH1F)nTZem->Clone("leftofzp");
2652	<	TH1F rightofzp = (TH1F)TZemcopy->Clone("rightofzp");
2653	<	rightofzp->Add(leftofzp,-1);
2654	<	TH1F *leftofsb;
2655	<	TH1F *rightofsb;
2656	<	TH1F *leftsfsb;
2657	<	TH1F *rightsfsb;
2658	<	if(PlottingSetup::RestrictToMassPeak) {
2659	<	leftofsb = (TH1F*)nTSem->Clone("leftofsb");
2660	<	rightofsb = (TH1F*)TSemcopy->Clone("rightofsb");
2661	<	rightofsb->Add(leftofsb,-1);
2662	<	leftsfsb = (TH1F*)nTSeemm->Clone("leftsfsb");
2663	<	rightsfsb = (TH1F*)TSeemmcopy->Clone("rightsfsb");
2664	<	rightsfsb->Add(leftsfsb,-1);
2665	<	}
2647	>	///-------------- second part: only look at the quantity we actually care about!
2648	>	TH1F leftsfzp = (TH1F)nTZeemm->Clone("leftsfzp");
2649	>	TH1F rightsfzp = (TH1F)TZeemmcopy->Clone("rightsfzp");
2650	>	rightsfzp->Add(leftsfzp,-1);
2651	>	TH1F leftofzp = (TH1F)nTZem->Clone("leftofzp");
2652	>	TH1F rightofzp = (TH1F)TZemcopy->Clone("rightofzp");
2653	>	rightofzp->Add(leftofzp,-1);
2654	>	TH1F *leftofsb;
2655	>	TH1F *rightofsb;
2656	>	TH1F *leftsfsb;
2657	>	TH1F *rightsfsb;
2658	>	if(PlottingSetup::RestrictToMassPeak) {
2659	>	leftofsb = (TH1F*)nTSem->Clone("leftofsb");
2660	>	rightofsb = (TH1F*)TSemcopy->Clone("rightofsb");
2661	>	rightofsb->Add(leftofsb,-1);
2662	>	leftsfsb = (TH1F*)nTSeemm->Clone("leftsfsb");
2663	>	rightsfsb = (TH1F*)TSeemmcopy->Clone("rightsfsb");
2664	>	rightsfsb->Add(leftsfsb,-1);
2665	>	}
2666
2667	<	tcan->SetLogy(1);
2668	<	rightsfzp->GetXaxis()->SetRangeUser(0,binning[binning.size()-1]);
2669	<	rightsfzp->GetYaxis()->SetTitle("#deltaJZB / 25 GeV");
2670	<	rightsfzp->Draw("histo");
2671	<	rightofzp->Draw("histo,same");
2672	<	if(PlottingSetup::RestrictToMassPeak) {
2673	<	rightofsb->Draw("histo,same");
2674	<	rightsfsb->Draw("histo,same");
2675	<	}
2676	<	DrawMCPrelim(simulatedlumi);
2667	>	tcan->SetLogy(1);
2668	>	rightsfzp->GetXaxis()->SetRangeUser(0,binning[binning.size()-1]);
2669	>	rightsfzp->GetYaxis()->SetTitle("#deltaJZB / 25 GeV");
2670	>	rightsfzp->Draw("histo");
2671	>	rightofzp->Draw("histo,same");
2672	>	if(PlottingSetup::RestrictToMassPeak) {
2673	>	rightofsb->Draw("histo,same");
2674	>	rightsfsb->Draw("histo,same");
2675	>	}
2676	>	DrawMCPrelim(simulatedlumi);
2677
2678	<	TLegend *legA = make_legend("MC t#bar{t}",0.6,0.65,false);
2679	<	legA->AddEntry(rightsfzp,"SFZP","l");
2680	<	legA->AddEntry(rightofzp,"OFZP","l");
2681	<	if(PlottingSetup::RestrictToMassPeak) {
2682	<	legA->AddEntry(rightofsb,"SFSB","l");
2683	<	legA->AddEntry(rightsfsb,"OFSB","l");
2684	<	}
2685	<	legA->Draw();
2678	>	TLegend *legA = make_legend("MC t#bar{t}",0.6,0.65,false);
2679	>	legA->AddEntry(rightsfzp,"SFZP","l");
2680	>	legA->AddEntry(rightofzp,"OFZP","l");
2681	>	if(PlottingSetup::RestrictToMassPeak) {
2682	>	legA->AddEntry(rightofsb,"SFSB","l");
2683	>	legA->AddEntry(rightsfsb,"OFSB","l");
2684	>	}
2685	>	legA->Draw();
2686
2687	<	CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_deltajzb_comparison");
2687	>	CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_deltajzb_comparison");
2688
2689	<	tcan->SetLogy(0);
2690	<	rightofzp->Divide(rightsfzp);
2691	<	rightofzp->GetXaxis()->SetRangeUser(0.0,binning[binning.size()-1]);
2692	<	rightofzp->GetYaxis()->SetRangeUser(0.0,2.0);
2693	<	rightofzp->GetYaxis()->SetTitle("#deltaJZB ratio");
2694	<	rightofzp->Draw();
2695	<	if(PlottingSetup::RestrictToMassPeak) {
2696	<	rightofsb->Divide(rightsfzp);
2697	<	rightsfsb->Divide(rightsfzp);
2698	<	rightofsb->Draw("same");
2699	<	rightsfsb->Draw("same");
2700	<	}
2689	>	tcan->SetLogy(0);
2690	>	rightofzp->Divide(rightsfzp);
2691	>	rightofzp->GetXaxis()->SetRangeUser(0.0,binning[binning.size()-1]);
2692	>	rightofzp->GetYaxis()->SetRangeUser(0.0,2.5);
2693	>	rightofzp->GetYaxis()->SetTitle("#deltaJZB ratio");
2694	>	rightofzp->Draw();
2695	>	if(PlottingSetup::RestrictToMassPeak) {
2696	>	rightofsb->Divide(rightsfzp);
2697	>	rightsfsb->Divide(rightsfzp);
2698	>	rightofsb->Draw("same");
2699	>	rightsfsb->Draw("same");
2700	>	}
2701
2702	<	TLine *top2 = new TLine(0.0,1.0+linepos,binning[binning.size()-1],1.0+linepos);
2703	<	TLine *center2 = new TLine(0.0,1.0,binning[binning.size()-1],1.0);
2704	<	TLine *bottom2 = new TLine(0.0,1.0-linepos,binning[binning.size()-1],1.0-linepos);
2705	<
2706	<	top2->SetLineColor(kBlue);top2->SetLineStyle(2);
2707	<	bottom2->SetLineColor(kBlue);bottom2->SetLineStyle(2);
2708	<	center2->SetLineColor(kBlue);
2709	<
2710	<	top2->Draw("same");
2711	<	center2->Draw("same");
2712	<	bottom2->Draw("same");
2702	>	TLine *top2 = new TLine(0.0,1.0+linepos,binning[binning.size()-1],1.0+linepos);
2703	>	TLine *center2 = new TLine(0.0,1.0,binning[binning.size()-1],1.0);
2704	>	TLine *bottom2 = new TLine(0.0,1.0-linepos,binning[binning.size()-1],1.0-linepos);
2705	>
2706	>	top2->SetLineColor(kBlue);top2->SetLineStyle(2);
2707	>	bottom2->SetLineColor(kBlue);bottom2->SetLineStyle(2);
2708	>	center2->SetLineColor(kBlue);
2709	>
2710	>	top2->Draw("same");
2711	>	center2->Draw("same");
2712	>	bottom2->Draw("same");
2713
2714	<	rightofzp->SetMarkerStyle(21);
2715	<	if(PlottingSetup::RestrictToMassPeak) {
2716	<	rightofsb->SetMarkerStyle(24);
2717	<	rightsfsb->SetMarkerStyle(32);
2718	<	}
2714	>	rightofzp->SetMarkerStyle(21);
2715	>	if(PlottingSetup::RestrictToMassPeak) {
2716	>	rightofsb->SetMarkerStyle(24);
2717	>	rightsfsb->SetMarkerStyle(32);
2718	>	}
2719
2720	<	TLegend *leg3 = make_legend("MC t#bar{t}",0.55,0.75,false);
2721	<	leg3->AddEntry(rightofzp,"OFZP / SFZP","ple");
2722	<	if(PlottingSetup::RestrictToMassPeak) {
2723	<	leg3->AddEntry(rightsfsb,"SFSB / SFZP","ple");
2724	<	leg3->AddEntry(rightofsb,"OFSB / SFZP","ple");
2725	<	}
2726	<	leg3->AddEntry(bottom,"syst. envelope","l");
2727	<	leg3->SetX1(0.25);leg3->SetX2(0.6);
2728	<	leg3->SetY1(0.65);
2720	>	TLegend *leg3 = make_legend("MC t#bar{t}",0.55,0.75,false);
2721	>	leg3->AddEntry(rightofzp,"OFZP / SFZP","ple");
2722	>	if(PlottingSetup::RestrictToMassPeak) {
2723	>	leg3->AddEntry(rightsfsb,"SFSB / SFZP","ple");
2724	>	leg3->AddEntry(rightofsb,"OFSB / SFZP","ple");
2725	>	}
2726	>	leg3->AddEntry(bottom,"syst. envelope","l");
2727	>	leg3->SetX1(0.25);leg3->SetX2(0.6);
2728	>	leg3->SetY1(0.65);
2729
2730	<	leg3->Draw("same");
2730	>	leg3->Draw("same");
2731
2732	<	DrawMCPrelim(simulatedlumi);
2733	<	CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_deltajzb_comparison_ratio");
2732	>	DrawMCPrelim(simulatedlumi);
2733	>	CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_deltajzb_comparison_ratio");
2734	>
2735	>	}
2736
2737		delete TZem;
2738		delete nTZem;
#	Line 2446 \| Line 2751 \| cout << __LINE__ << endl;
2751
2752		void ttbar_sidebands_comparison(string mcjzb, vector<float> jzb_binning) {
2753		vector<float> nicer_binning;
2754	<	nicer_binning.push_back(-125);
2754	>
2755	>	/* nicer_binning.push_back(-400);
2756	>	nicer_binning.push_back(-250);
2757	>	nicer_binning.push_back(-200);
2758	>	nicer_binning.push_back(-150);
2759	>	nicer_binning.push_back(-100);
2760	>	nicer_binning.push_back(-50);
2761	>	nicer_binning.push_back(-20);
2762	>
2763	>	nicer_binning.push_back(0);
2764	>	nicer_binning.push_back(20);
2765	>	nicer_binning.push_back(50);
2766	>	nicer_binning.push_back(100);
2767	>	nicer_binning.push_back(150);
2768	>	nicer_binning.push_back(200);
2769	>	nicer_binning.push_back(250);
2770	>	nicer_binning.push_back(400);*/
2771	>
2772		nicer_binning.push_back(-100);
2451	–	nicer_binning.push_back(-75);
2773		nicer_binning.push_back(-50);
2774		nicer_binning.push_back(-25);
2775		nicer_binning.push_back(0);
#	Line 2458 \| Line 2779 \| void ttbar_sidebands_comparison(string m
2779		nicer_binning.push_back(100);
2780		nicer_binning.push_back(125);
2781		nicer_binning.push_back(150);
2782	<	nicer_binning.push_back(175);
2782	>	//nicer_binning.push_back(175);
2783		nicer_binning.push_back(200);
2784	<	nicer_binning.push_back(230);
2785	<	nicer_binning.push_back(280);
2784	>	nicer_binning.push_back(250);
2785	>	nicer_binning.push_back(300);
2786		nicer_binning.push_back(400);
2787	+
2788		ttbar_sidebands_comparison(mcjzb,nicer_binning, "ttbar/");
2789		}
2790
2791
2792	<	void zjets_prediction_comparison() {
2793	<	// Do it without PU re-weighting
2794	<	float MCPeakNoPU=0,MCPeakErrorNoPU=0,DataPeakNoPU=0,DataPeakErrorNoPU=0,MCSigma=0,DataSigma=0;
2795	<	stringstream resultsNoPU;
2796	<
2797	<	stringstream mcjzbnoPU;
2798	<	find_peaks(MCPeakNoPU,MCPeakErrorNoPU, DataPeakNoPU, DataPeakErrorNoPU,MCSigma,DataSigma,resultsNoPU,false);
2799	<	if(MCPeakNoPU>0) mcjzbnoPU<<"("<<jzbvariablemc<<"-"<<TMath::Abs(MCPeakNoPU)<<")";
2800	<	else mcjzbnoPU<<"("<<jzbvariablemc<<"+"<<TMath::Abs(MCPeakNoPU)<<")";
2792	>	void zjets_prediction_comparison(string mcjzbWithPUa) {
2793	>	TCanvas *zcan = new TCanvas("zcan","zcan");
2794	>	// zcan->SetLogy(1);
2795	>	TCut weightbackup=cutWeight;
2796	>
2797	>	bool UsePURW=false;
2798	>
2799	>
2800	>	string mcjzb;
2801	>	if(UsePURW) {
2802	>	mcjzb=mcjzbWithPUa;
2803	>	} else {
2804	>	// Do it without PU re-weighting
2805	>	float MCPeakNoPU=0,MCPeakErrorNoPU=0,DataPeakNoPU=0,DataPeakErrorNoPU=0,MCSigma=0,DataSigma=0;
2806	>	stringstream resultsNoPU;
2807	>	stringstream noPUdatajzb;
2808	>	stringstream noPUmcjzb;
2809	>
2810	>	find_peaks(MCPeakNoPU,MCPeakErrorNoPU, DataPeakNoPU, DataPeakErrorNoPU,resultsNoPU,false,noPUdatajzb,noPUmcjzb);
2811	>	dout << "The peak corrected JZB expression for MC without pileup is : " << noPUmcjzb.str() << endl;
2812	>
2813	>	mcjzb = noPUmcjzb.str();
2814	>
2815	>	cutWeight="1.0";
2816	>	}
2817
2818	<	string mcjzb = mcjzbnoPU.str();
2819	<	dout << "The peak corrected JZB expression for MC without pileup is : " << mcjzb << endl;
2818	>
2819	>	vector<float> binning;
2820	>	binning.push_back(0);
2821	>	binning.push_back(10);
2822	>	binning.push_back(20);
2823	>	binning.push_back(40);
2824	>	binning.push_back(60);
2825	>	// binning.push_back(50);
2826	>	// binning.push_back(60);
2827	>	// binning.push_back(70);
2828	>	// binning.push_back(80);
2829	>	// binning.push_back(90);
2830	>	binning.push_back(100);
2831
2483	–	TCut weightbackup=cutWeight;
2484	–	cutWeight="1.0";
2485	–	float sbg_min=0.;
2486	–	float sbg_max=100.;
2487	–	int sbg_nbins=5;
2832		float simulatedlumi = luminosity;//in pb please - adjust to your likings
2833
2834		TCut kPos((mcjzb+">0").c_str());
2835		TCut kNeg((mcjzb+"<0").c_str());
2836		string var( "abs("+mcjzb+")" );
2837	+
2838	+	TCut notTau("abs(genMID1)!=15");
2839	+	TCut ONLYTau("mll>20");
2840	+
2841
2842	<	TCut kcut(cutmass&&cutOSSF&&"pfJetGoodNum>2");
2843	<	TH1F *hJZBpos = systsamples.Draw("hJZBpos",var,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",
2844	<	kcut&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
2497	<	TH1F *hJZBneg = systsamples.Draw("hJZBneg",var,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",
2498	<	kcut&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
2842	>	TH1F *hJZBpos = systsamples.Draw("hJZBpos",var,binning, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets&&notTau&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
2843	>	TH1F *hJZBneg = systsamples.Draw("hJZBneg",var,binning, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets&&notTau&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
2844	>
2845		hJZBpos->SetLineColor(kBlack);
2846		hJZBneg->SetLineColor(kRed);
2847
2848	<	Int_t nbins = 5;
2503	<	Float_t xmax = 100.;
2504	<
2505	<
2506	<	TCanvas *zcan = new TCanvas("zcan","zcan");
2507	<	zcan->SetLogy(1);
2508	<
2848	>	hJZBpos->SetMinimum(1.0);
2849		hJZBpos->Draw("e1");
2850		hJZBneg->Draw("same,hist");
2851		hJZBpos->Draw("same,e1"); // So it's on top...
2852
2853	<	TLegend *leg = make_legend("MC Z+jets",0.55,0.75,false);
2853	>	TLegend *leg = make_legend("MC Z+jets #rightarrow ee,#mu#mu",0.55,0.75,false);
2854		leg->AddEntry(hJZBpos,"Observed","pe");
2855		leg->AddEntry(hJZBneg,"Predicted","l");
2856		leg->Draw("same");
2857		DrawMCPrelim(simulatedlumi);
2858	<	CompleteSave(zcan,"Systematics/zjets_prediction");
2858	>	CompleteSave(zcan,"Systematics/ZJets/zjets_eemm_prediction");
2859
2860		TH1F* hratio = (TH1F*)hJZBpos->Clone("hratio");
2861		hratio->Divide(hJZBneg);
2862
2863	+	for(int i=1;i<=hJZBpos->GetNbinsX();i++) {
2864	+	cout << "Positive: " << hJZBpos->GetBinContent(i) << " vs Negative : " << hJZBneg->GetBinContent(i) << " (ratio : " << hJZBpos->GetBinContent(i) / hJZBneg->GetBinContent(i) << endl;
2865	+	}
2866	+
2867		zcan->SetLogy(0);
2868	<	hratio->GetYaxis()->SetRangeUser(0,2.5);
2868	>	hratio->GetYaxis()->SetRangeUser(0,2.0);
2869		hratio->GetYaxis()->SetTitle("Observed/Predicted");
2870		hratio->Draw("e1");
2871
2872	<	TLine *top = new TLine(sbg_min,1.25,sbg_max,1.25);
2873	<	TLine *center = new TLine(sbg_min,1.0,sbg_max,1.0);
2874	<	TLine *bottom = new TLine(sbg_min,0.75,sbg_max,0.75);
2872	>	TLine *top = new TLine(binning[0],1.25,binning[binning.size()-1],1.25);
2873	>	TLine *center = new TLine(binning[0],1.0,binning[binning.size()-1],1.0);
2874	>	TLine *bottom = new TLine(binning[0],0.75,binning[binning.size()-1],0.75);
2875
2876
2877		top->SetLineColor(kBlue);top->SetLineStyle(2);
#	Line 2538 \| Line 2882 \| void zjets_prediction_comparison() {
2882		center->Draw("same");
2883		bottom->Draw("same");
2884
2885	<	TLegend *leg2 = make_legend("MC Z+jets",0.25,0.75,false);
2885	>	TLegend *leg2 = make_legend("MC Z+jets #rightarrow ee,#mu#mu",0.25,0.75,false);
2886		leg2->AddEntry(hratio,"obs / pred","pe");
2887		leg2->AddEntry(bottom,"syst. envelope","l");
2888		leg2->Draw("same");
2889		DrawMCPrelim(simulatedlumi);
2890	<	CompleteSave(zcan,"Systematics/zjets_prediction_ratio");
2890	>	CompleteSave(zcan,"Systematics/ZJets/zjets_eemm_prediction_ratio");
2891	>
2892	>	TCut reducedNJets(cutnJets);
2893	>
2894	>	TH1F *TAUhJZBpos = systsamples.Draw("TAUhJZBpos",var,binning, "JZB [GeV]", "events",cutmass&&cutOSSF&&reducedNJets&&ONLYTau&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
2895	>	TH1F *LcorrJZBeemm = systsamples.Draw("LcorrJZBeemm",var,binning, "JZB [GeV]", "events",cutmass&&cutOSSF&&reducedNJets&&ONLYTau&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
2896	>	TH1F *RcorrJZBem = systsamples.Draw("RcorrJZBem",var,binning, "JZB [GeV]", "events",cutmass&&cutOSOF&&reducedNJets&&ONLYTau&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
2897	>	TH1F *LcorrJZBem = systsamples.Draw("LcorrJZBem",var,binning, "JZB [GeV]", "events",cutmass&&cutOSOF&&reducedNJets&&ONLYTau&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
2898	>
2899	>	TH1F *RcorrJZBSBem;
2900	>	TH1F *LcorrJZBSBem;
2901	>	TH1F *RcorrJZBSBeemm;
2902	>	TH1F *LcorrJZBSBeemm;
2903	>
2904	>	if(PlottingSetup::RestrictToMassPeak) {
2905	>	RcorrJZBSBem = systsamples.Draw("RcorrJZBSBem",var,binning, "JZB [GeV]", "events",sidebandcut&&cutOSOF&&reducedNJets&&ONLYTau&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
2906	>	LcorrJZBSBem = systsamples.Draw("LcorrJZBSBem",var,binning, "JZB [GeV]", "events",sidebandcut&&cutOSOF&&reducedNJets&&ONLYTau&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
2907	>	RcorrJZBSBeemm = systsamples.Draw("RcorrJZBSBeemm",var,binning, "JZB [GeV]", "events",sidebandcut&&cutOSSF&&reducedNJets&&ONLYTau&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
2908	>	LcorrJZBSBeemm = systsamples.Draw("LcorrJZBSBeemm",var,binning, "JZB [GeV]", "events",sidebandcut&&cutOSSF&&reducedNJets&&ONLYTau&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
2909	>	}
2910	>
2911	>	TH1F Bpred = (TH1F)LcorrJZBeemm->Clone("Bpred");
2912	>	if(PlottingSetup::RestrictToMassPeak) {
2913	>	Bpred->Add(RcorrJZBem,1.0/3.);
2914	>	Bpred->Add(LcorrJZBem,-1.0/3.);
2915	>	Bpred->Add(RcorrJZBSBem,1.0/3.);
2916	>	Bpred->Add(LcorrJZBSBem,-1.0/3.);
2917	>	Bpred->Add(RcorrJZBSBeemm,1.0/3.);
2918	>	Bpred->Add(LcorrJZBSBeemm,-1.0/3.);
2919	>	} else {
2920	>	Bpred->Add(RcorrJZBem,1.0);
2921	>	Bpred->Add(LcorrJZBem,-1.0);
2922	>	}
2923	>
2924	>	Bpred->SetLineColor(kRed);
2925	>
2926	>	TAUhJZBpos->SetLineColor(kBlack);
2927	>	Bpred->SetLineColor(kRed);
2928	>
2929	>	TAUhJZBpos->SetMinimum(1.0);
2930	>	TAUhJZBpos->Draw("e1");
2931	>	Bpred->Draw("same,hist");
2932	>	TAUhJZBpos->Draw("same,e1");
2933	>
2934	>	TLegend *TAUleg = make_legend("MC Z+jets #rightarrow ee,#mu#mu,#tau#tau",0.55,0.75,false);
2935	>	TAUleg->AddEntry(TAUhJZBpos,"Observed","pe");
2936	>	TAUleg->AddEntry(Bpred,"Predicted","l");
2937	>	TAUleg->Draw("same");
2938	>	DrawMCPrelim(simulatedlumi);
2939	>	CompleteSave(zcan,"Systematics/ZJets/zjets_eemumutautau_prediction");
2940	>
2941	>	TH1F* TAUhratio = (TH1F*)TAUhJZBpos->Clone("TAUhratio");
2942	>	TAUhratio->Divide(Bpred);
2943	>
2944	>	for(int i=1;i<=TAUhJZBpos->GetNbinsX();i++) {
2945	>	cout << "ee/mm/tautau observed: " << TAUhJZBpos->GetBinContent(i) << " vs predicted : " << Bpred->GetBinContent(i) << " (ratio : " << TAUhJZBpos->GetBinContent(i) / Bpred->GetBinContent(i) << endl;
2946	>	}
2947	>
2948	>	zcan->SetLogy(0);
2949	>	TAUhratio->GetYaxis()->SetRangeUser(0,2.5);
2950	>	TAUhratio->GetYaxis()->SetTitle("Observed/Predicted");
2951	>	TAUhratio->Draw("e1");
2952	>
2953	>	top->Draw("same");
2954	>	center->Draw("same");
2955	>	bottom->Draw("same");
2956	>
2957	>	TLegend *TAUleg2 = make_legend("MC Z+jets #rightarrow #tau#tau",0.25,0.75,false);
2958	>	TAUleg2->AddEntry(TAUhratio,"obs / pred","pe");
2959	>	TAUleg2->AddEntry(bottom,"syst. envelope","l");
2960	>	TAUleg2->Draw("same");
2961	>	DrawMCPrelim(simulatedlumi);
2962	>	CompleteSave(zcan,"Systematics/ZJets/zjets_eemumutautau_prediction_ratio");
2963	>
2964	>	delete Bpred;
2965	>	delete TAUhJZBpos;
2966	>	delete LcorrJZBeemm;
2967	>	delete RcorrJZBem;
2968	>	delete LcorrJZBem;
2969	>
2970	>	if(PlottingSetup::RestrictToMassPeak) {
2971	>	delete RcorrJZBSBem;
2972	>	delete LcorrJZBSBem;
2973	>	delete RcorrJZBSBeemm;
2974	>	delete LcorrJZBSBeemm;
2975	>	}
2976	>
2977
2978		delete zcan;
2979		cutWeight=weightbackup;
#	Line 2569 \| Line 2999 \| void sideband_assessment(string datajzb,
2999		tout << "\\begin{tabular}{l\|cc}" << endl;
3000		tout << "\\hline" << endl;
3001		tout << "& {\\OFZP} & {\\OFSB} \\\\\\hline" << endl;
3002	<	tout << "\\#(events) & "<<OFSB<<" & "<<OFZP<<"\\\\ \\hline" << endl;
3002	>	tout << "\\#(events) & "<<OFZP<<" & "<<OFSB<<"\\\\ \\hline" << endl;
3003		tout << "\\end{tabular}" << endl;
3004		tout << "\\end{center}" << endl;
3005		tout << "\\end{table}" << endl;
#	Line 2587 \| Line 3017 \| void make_table(samplecollection &coll,
3017
3018		TCanvas *cannie = new TCanvas("cannie","cannie");
3019
3020	<	for(int icut=0;icut<jzb_cuts.size();icut++) {
3020	>	for(int icut=0;icut<(int)jzb_cuts.size();icut++) {
3021		float currcut=jzb_cuts[icut];
3022		int nbins=1;float low=currcut;
3023		vector<int> mysample;
#	Line 2646 \| Line 3076 \| void make_table(samplecollection &coll,
3076		//prediction part
3077		if(is_data) cout << "Data prediction & ";
3078		if(subselection!="none") cout << subselection << " prediction &";
3079	<	for(int ij=0;ij<jzb_cuts.size();ij++) cout << jzbcutprediction[ij] << " vs " << metcutprediction[ij] << " & ";
3079	>	for(int ij=0;ij<(int)jzb_cuts.size();ij++) cout << jzbcutprediction[ij] << " vs " << metcutprediction[ij] << " & ";
3080
3081		cout << endl;
3082		//observation part
3083		if(is_data) cout << "Data observation & ";
3084		if(subselection!="none") cout << subselection << " observation &";
3085	<	for(int ij=0;ij<jzb_cuts.size();ij++) cout << jzbcutobservation[ij] << " vs " << metcutobservation[ij] << " & ";
3085	>	for(int ij=0;ij<(int)jzb_cuts.size();ij++) cout << jzbcutobservation[ij] << " vs " << metcutobservation[ij] << " & ";
3086		cout << endl;
3087		cout << "_________________________________________________________________" << endl;
3088		delete cannie;
#	Line 2687 \| Line 3117 \| *void JZBSelEff(string mcjzb, TTree even**
3117		int nbins = sizeof(xbins)/sizeof(float)-1;
3118		int markers[] = { 20, 26, 21, 24, 22, 25, 28 };
3119
3120	<	TH1F* heff = new TH1F("heff", "JZB eff ; generator-level JZB [GeV]; efficiency",nbins,xbins);
3121	<	TH1F* hgen = new TH1F("hgen", "JZB gen ; generator-level JZB [GeV]; efficiency",nbins,xbins);
3122	<	TH1F* hreco = new TH1F("hreco","JZB reco ; generator-level JZB [GeV]; efficiency",nbins,xbins);
3120	>
3121	>	TH1F* heff = new TH1F("heff", "JZB eff ; generator JZB [GeV]; efficiency",nbins,xbins);
3122	>	TH1F* hgen = new TH1F("hgen", "JZB gen ; generator JZB [GeV]; efficiency",nbins,xbins);
3123	>	TH1F* hreco = new TH1F("hreco","JZB reco ; generator JZB [GeV]; efficiency",nbins,xbins);
3124
3125		TCut kgen(genMassCut&&"genZPt>0&&genNjets>2&&abs(genMID)==23"&&cutOSSF);
3126		TCut kreco(cutmass);
#	Line 2705 \| Line 3136 \| *void JZBSelEff(string mcjzb, TTree even**
3136		TCanvas *can = new TCanvas("can","Canvas for JZB Efficiency",600,600);
3137		can->SetGridx(1);
3138		can->SetGridy(1);
3139	+	can->SetLeftMargin(0.16);
3140	+	can->SetRightMargin(0.05);
3141		TLegend *leg = make_legend("",0.6,0.2,false,0.89,0.5);
3142	+	leg->SetBorderSize(1);
3143	+	leg->SetLineColor(kBlack);
3144	+	leg->SetTextFont(62);
3145
3146	<
2711	<
2712	<	for ( int icut=0; icut<jzb_bins.size(); ++icut ) {
3146	>	for ( int icut=0; icut<(int)jzb_bins.size(); ++icut ) {
3147
3148		ostringstream selection;
3149		selection << mcjzb << ">" << jzb_bins[icut];
#	Line 2725 \| Line 3159 \| *void JZBSelEff(string mcjzb, TTree even**
3159		}
3160
3161		heff->GetXaxis()->SetRangeUser(min, max);
3162	+	// heff->GetXaxis()->SetLabelSize(0.05); // paper style. overruled.
3163	+	// heff->GetYaxis()->SetLabelSize(0.05); // paper style. overruled.
3164	+	// heff->GetXaxis()->SetTitleSize(0.06); // paper style. overruled.
3165	+	// heff->GetYaxis()->SetTitleSize(0.06); // paper style. overruled.
3166		heff->SetMarkerStyle(markers[icut]);
3167		heff->Fit("func","Q+","same");
3168
#	Line 2736 \| Line 3174 \| *void JZBSelEff(string mcjzb, TTree even**
3174
3175		// Store plot
3176		TH1F* h = (TH1F*)heff->Clone(hname);
3177	+	h->SetNdivisions(505,"X");
3178		if ( icut) h->Draw("same");
3179		else h->Draw();
3180		char htitle[256]; sprintf(htitle,"JZB > %3.0f GeV", jzb_bins[icut]);
#	Line 2756 \| Line 3195 \| *void JZBSelEff(string mcjzb, TTree even**
3195		// Calls the above function for each signal sample
3196		void plot_jzb_sel_eff(string mcjzb, samplecollection &signalsamples, vector<float> bins )
3197		{
3198	<	for (int isignal=0; isignal<signalsamples.collection.size();isignal++) {
3198	>	for (int isignal=0; isignal<(int)signalsamples.collection.size();isignal++) {
3199		dout << "JZB selection efficiency curve: " << std::endl;
3200		JZBSelEff(mcjzb,(signalsamples.collection)[isignal].events,(signalsamples.collection)[isignal].samplename,bins); // Only for some selected samples
3201		}
#	Line 2799 \| Line 3238 \| void qcd_plots(string datajzb, string mc
3238		TH1F *RcorrJZBSBeemm;
3239		TH1F *LcorrJZBSBeemm;
3240
3241	<	TH1F *RcorrJZBeemmNoS;
3241	>	// TH1F *RcorrJZBeemmNoS;
3242
3243		//these are for the ratio
3244		TH1F *JRcorrJZBeemm = qcdsamples.Draw("JRcorrJZBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
#	Line 2883 \| Line 3322 \| void qcd_plots(string datajzb, string mc
3322		//3rd last argument: do special bpred ratio, 2nd last argument: extended range!, last: y-axis title
3323		string ytitle("ratio");
3324		if ( use_data==1 ) ytitle = "data/pred";
3325	<	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,"QCD/Bpred",true,use_data!=1,ytitle);
3325	>	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,"QCD/Bpred",true,false,ytitle);
3326
3327		TH1F *allevents = qcdsamples.Draw("allevents","pfJetGoodNum",1,0,100, "internal code", "events", "" ,mc, luminosity);
3328		TH1F *ossf = qcdsamples.Draw("ossf","pfJetGoodNum",1,0,100, "internal code", "events", cutOSSF ,mc, luminosity);
#	Line 2930 \| Line 3369 \| void qcd_plots(string datajzb, string mc
3369		dout << " Observation increases by : " << RcorrJZBeemm->Integral() << endl;
3370
3371		dout << endl;
3372	<	for(int i=0;i<bins.size();i++) {
3372	>	for(int i=0;i<(int)bins.size();i++) {
3373		dout << " JZB > " << bins[i] << " : " << endl;
3374		dout << " Observation increases by : " << RcorrJZBeemm->Integral(RcorrJZBeemm->FindBin(bins[i]),RcorrJZBeemm->GetNbinsX()) << endl;
3375		if(PlottingSetup::RestrictToMassPeak) {
#	Line 2978 \| Line 3417 \| void check_ptsanity() {
3417		leg->SetY2(1.0);
3418
3419
3420	<	for(int isample=0;isample<allsamples.collection.size();isample++) {
3420	>	for(int isample=0;isample<(int)allsamples.collection.size();isample++) {
3421		string nowname=(allsamples.collection)[isample].filename;
3422		cout << "Drawing: " << nowname << " (sample " << isample+1 << " / " << allsamples.collection.size() << ")" << endl;
3423		individualpt1histos[isample] = allsamples.Draw(GetNumericHistoName(),"pt1",50,0,50, "p_{T,1}", "events",cutOSSF&&cutnJets,mc,luminosity,allsamples.FindSample(nowname));
#	Line 3002 \| Line 3441 \| void check_ptsanity() {
3441		ptsancan->cd(2);
3442		fpt2->Draw();
3443
3444	<	for(int isample=0;isample<allsamples.collection.size();isample++) {
3444	>	for(int isample=0;isample<(int)allsamples.collection.size();isample++) {
3445		ptsancan->cd(1);
3446		individualpt1histos[isample]->DrawNormalized("same,histo");
3447		ptsancan->cd(2);
#	Line 3018 \| Line 3457 \| void check_ptsanity() {
3457		void do_mlls_plot(string mcjzb) {
3458		cout << "At this point we'd plot the mll distribution" << endl;
3459		TCanvas *sigcan = new TCanvas("sigcan","sigcan");
3460	<	for(int isig=0;isig<(signalsamples.collection).size();isig++) {
3460	>	for(int isig=0;isig<(int)(signalsamples.collection).size();isig++) {
3461		if(!(signalsamples.collection)[isig].events) continue;
3462		string nowname=(signalsamples.collection)[isig].filename;
3463		TH1F *mll = signalsamples.Draw("mllhisto","mll",150,0,150, "m_{ll}", "events",cutOSSF&&cutnJets,mc,luminosity,signalsamples.FindSample(nowname));
#	Line 3057 \| Line 3496 \| void met_vs_jzb_plots() {
3496		findme.push_back("TTJets");
3497		findme.push_back("LM");
3498
3499	<	for(int ifind=0;ifind<findme.size();ifind++) {
3499	>	for(int ifind=0;ifind<(int)findme.size();ifind++) {
3500		vector<int> selsamples = allsamples.FindSample(findme[ifind]);
3501		TH2F *metvsjzb = new TH2F("metvsjzb","metvsjzb",200,0,100,400,-100,100);
3502	<	for(int isel=0;isel<selsamples.size();isel++) {
3502	>	for(int isel=0;isel<(int)selsamples.size();isel++) {
3503		cout << "Producing MET:JZB plot ... working on sample: " << allsamples.collection[selsamples[isel]].filename << endl;
3504		allsamples.collection[selsamples[isel]].events->Draw("jzb[1]:met[4]>>+metvsjzb",cutmass&&cutOSSF);
3505		}
#	Line 3083 \| Line 3522 \| void test() {
3522
3523		TCanvas *testcanv = new TCanvas("testcanv","testcanv");
3524		testcanv->cd();
3525	<	switch_overunderflow(true);
3525	>	// switch_overunderflow(true);
3526		TH1F *ptdistr = allsamples.Draw("ptdistr","pt1",100,30,200, "p_{T} [GeV]", "events", cutOSSF,data,luminosity);
3527		switch_overunderflow(false);
3528		ptdistr->Draw();

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Comparing UserCode/cbrown/Development/Plotting/Modules/Plotting_Functions.C (file contents): Revision 1.12 by buchmann, Wed Apr 18 09:20:36 2012 UTC vs. Revision 1.43 by fronga, Mon Jul 30 08:21:48 2012 UTC

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Comparing UserCode/cbrown/Development/Plotting/Modules/Plotting_Functions.C (file contents):
Revision 1.12 by buchmann, Wed Apr 18 09:20:36 2012 UTC vs.
Revision 1.43 by fronga, Mon Jul 30 08:21:48 2012 UTC