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

Comparing UserCode/cbrown/Development/Plotting/Modules/Plotting_Functions.C (file contents):
Revision 1.5 by buchmann, Wed Mar 7 16:58:42 2012 UTC vs.
Revision 1.29 by buchmann, Mon Jun 18 16:26:07 2012 UTC

#	Line 30 \| Line 30 \| void todo() {
30		dout << "Info : The lepton requirement is currently set to " << (const char*) leptoncut << endl;
31		}
32
33	<	void find_peaks(float &MCPeak,float &MCPeakError, float &DataPeak, float &DataPeakError, float &MCSigma, float &DataSigma, stringstream &result, bool doPUreweighting = true )
33	>
34	>
35	>	void find_one_peak_combination(TCut specialcut, float &MCPeak,float &MCPeakError, float &DataPeak, float &DataPeakError, float &MCSigma, float &DataSigma, stringstream &result, bool doPUreweighting = true, string saveas="")
36		{
37		// Temporarily switch off PU reweighting, if asked
38		TCut weightbackup=cutWeight;
39		if ( !doPUreweighting ) cutWeight="1.0";
40	<
40	>
41	>	int nbins=100;
42	>	if(PlottingSetup::DoBTag) nbins=25;
43	>
44		TCanvas *tempcan = new TCanvas("tempcan","Temporary canvas for peak finding preparations");
45	<	TH1F *rawJZBeemmMC = allsamples.Draw("rawJZBeemmMC",jzbvariablemc,100,-50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,mc, luminosity);
46	<	TH1F *rawJZBeemmData = allsamples.Draw("rawJZBeemmData",jzbvariabledata,100, -50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,data, luminosity);
47	<	TH1F *rawJZBemMC = allsamples.Draw("rawJZBemMC",jzbvariablemc,100,-50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,mc, luminosity);
48	<	TH1F *rawJZBemData = allsamples.Draw("rawJZBemData",jzbvariabledata,100, -50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,data, luminosity);
45	>	TH1F *rawJZBeemmMC = allsamples.Draw("rawJZBeemmMC",jzbvariablemc,nbins,-50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&specialcut,mc, luminosity);
46	>	TH1F *rawJZBeemmData = allsamples.Draw("rawJZBeemmData",jzbvariabledata,nbins, -50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&specialcut,data, luminosity);
47	>	TH1F *rawJZBemMC = allsamples.Draw("rawJZBemMC",jzbvariablemc,nbins,-50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&specialcut,mc, luminosity);
48	>	TH1F *rawJZBemData = allsamples.Draw("rawJZBemData",jzbvariabledata,nbins, -50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&specialcut,data, luminosity);
49		TH1F *rawttbarjzbeemmMC;
50
51		if(method==doKM) {
52		//we only need this histo for the KM fitting...
53	<	rawttbarjzbeemmMC = allsamples.Draw("rawttbarjzbeemmMC",jzbvariablemc,100, -50,50, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,luminosity,allsamples.FindSample("TTJet"));
54	<	MCPeak=find_peak(rawJZBeemmMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method);
55	<	DataPeak=find_peak(rawJZBeemmData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method);
53	>	rawttbarjzbeemmMC = allsamples.Draw("rawttbarjzbeemmMC",jzbvariablemc,nbins, -50,50, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets&&specialcut,mc,luminosity,allsamples.FindSample("TTJet"));
54	>	MCPeak=find_peak(rawJZBeemmMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method,saveas);
55	>	DataPeak=find_peak(rawJZBeemmData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method,saveas);
56	>	delete rawttbarjzbeemmMC;
57		}
58		else {
59		TH1F reducedMC = (TH1F)rawJZBeemmMC->Clone();
#	Line 55 \| Line 61 \| void find_peaks(float &MCPeak,float &MCP
61		reducedMC->Add(rawJZBemMC,-1);
62		reducedData->Add(rawJZBemData,-1);
63		//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)
64	<	MCPeak=find_peak(reducedMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method);
65	<	DataPeak=find_peak(reducedData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method);
66	<
64	>	MCPeak=find_peak(reducedMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method,saveas);
65	>	DataPeak=find_peak(reducedData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method,saveas);
66	>	delete reducedMC;
67	>	delete reducedData;
68		}
69
70		// Revert to original PU reweighting
#	Line 65 \| Line 72 \| void find_peaks(float &MCPeak,float &MCP
72
73		// MCPeak=find_peak(rawJZBeemmMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method);
74		// DataPeak=find_peak(rawJZBeemmData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method);
75	<	dout << "We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
76	<	result << "We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
77	<	dout << "We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
78	<	result << "We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
75	>	dout << " We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
76	>	result << " We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
77	>	dout << " We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
78	>	result << " We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
79	>	delete rawJZBeemmData;
80	>	delete rawJZBeemmMC;
81	>	delete rawJZBemData;
82	>	delete rawJZBemMC;
83		delete tempcan;
84		}
85
86	+	void find_peaks(float &MCPeak,float &MCPeakError, float &DataPeak, float &DataPeakError, stringstream &result, bool doPUreweighting, stringstream &datajzb, stringstream &mcjzb)
87	+	{
88	+	float mcpeak, datapeak;
89	+	float mcpeakerr, datapeakerr;
90	+
91	+	float mceepeak,mcmmpeak;
92	+	float mceepeakerr,mcmmpeakerr;
93	+
94	+	float datammpeak,dataeepeak;
95	+	float datammpeakerr,dataeepeakerr;
96	+
97	+	float mcSigma, dataSigma;
98	+
99	+	dout << "Finding global peak : " << endl;
100	+	find_one_peak_combination(TCut(""),mcpeak,mcpeakerr, datapeak,datapeakerr,mcSigma, dataSigma,result,doPUreweighting,"");
101	+	dout << "Finding peak for electrons : " << endl;
102	+	find_one_peak_combination(TCut("id1==0"),mceepeak,mceepeakerr, dataeepeak,dataeepeakerr,mcSigma, dataSigma,result,doPUreweighting,"_ele");
103	+	dout << "Finding peak for muons : " << endl;
104	+	find_one_peak_combination(TCut("id1==1"),mcmmpeak,mcmmpeakerr, datammpeak,datammpeakerr,mcSigma, dataSigma,result,doPUreweighting,"_mu");
105	+
106	+	datajzb << "(" << jzbvariabledata;
107	+	mcjzb << "(" << jzbvariablemc;
108	+
109	+	if(dataeepeak>0) datajzb << "- (id1==id2)(id1==0)" << TMath::Abs(dataeepeak) << " ";
110	+	else datajzb << "+ (id1==id2)(id1==0)" << TMath::Abs(dataeepeak) << " ";
111	+
112	+	if(datammpeak>0) datajzb << "- (id1==id2)(id1==1)" << TMath::Abs(datammpeak) << " ";
113	+	else datajzb << "+ (id1==id2)(id1==1)" << TMath::Abs(datammpeak) << " ";
114	+
115	+	if(datapeak>0) datajzb << "- (id1!=id2)*" << TMath::Abs(datapeak) << " ";
116	+	else datajzb << "+ (id1!=id2)*" << TMath::Abs(datapeak) << " ";
117	+
118	+	datajzb << ")";
119	+
120	+	if(mceepeak>0) mcjzb << "- (id1==id2)(id1==0)" << TMath::Abs(mceepeak) << " ";
121	+	else mcjzb << "+ (id1==id2)(id1==0)" << TMath::Abs(mceepeak) << " ";
122	+
123	+	if(mcmmpeak>0) mcjzb << "- (id1==id2)(id1==1)" << TMath::Abs(mcmmpeak) << " ";
124	+	else mcjzb << "+ (id1==id2)(id1==1)" << TMath::Abs(mcmmpeak) << " ";
125	+
126	+	if(mcpeak>0) mcjzb << "- (id1!=id2)*" << TMath::Abs(mcpeak) << " ";
127	+	else mcjzb << "+ (id1!=id2)*" << TMath::Abs(mcpeak) << " ";
128	+
129	+	mcjzb << ")";
130	+	}
131	+
132	+	void make_special_obs_pred_mll_plot(string mcjzb, float jzbthreshold) {
133	+	float min=70.0;
134	+	float max=115.0;
135	+	if(!PlottingSetup::RestrictToMassPeak) {
136	+	min=10;
137	+	max=150;
138	+	}
139	+	int nbins=int((max-min)/5);
140	+
141	+	TCanvas *ckin = new TCanvas("ckin","Kinematic Plots (in the making)",600,600);
142	+
143	+	stringstream largerzeroS;
144	+	largerzeroS << "(" << mcjzb << ">" << jzbthreshold << ")";
145	+	TCut largerzero(largerzeroS.str().c_str());
146	+
147	+	stringstream smallerzeroS;
148	+	smallerzeroS << "(" << mcjzb << "<-" << jzbthreshold << ")";
149	+	TCut smallerzero(smallerzeroS.str().c_str());
150	+
151	+	TH1F *RcorrJZBeemm = allsamples.Draw("RcorrJZBeemm", "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,data,luminosity);
152	+	THStack mcRcorrJZBeemm = allsamples.DrawStack("mcRcorrJZBeemm","mll",nbins,min,max, "m_{ll} [GeV}", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,mc,luminosity);
153	+	TH1F *LcorrJZBeemm = allsamples.Draw("LcorrJZBeemm", "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&smallerzero,data,luminosity);
154	+	TH1F *RcorrJZBem = allsamples.Draw("RcorrJZBem", "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&largerzero,data,luminosity);
155	+	TH1F *LcorrJZBem = allsamples.Draw("LcorrJZBem", "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&smallerzero,data,luminosity);
156	+
157	+	TH1F *RcorrJZBSBem;
158	+	TH1F *LcorrJZBSBem;
159	+	TH1F *RcorrJZBSBeemm;
160	+	TH1F *LcorrJZBSBeemm;
161	+
162	+	// TH1F *RcorrJZBeemmNoS;
163	+
164	+	if(PlottingSetup::RestrictToMassPeak) {
165	+	RcorrJZBSBem = allsamples.Draw("RcorrJZBSBem", "mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&largerzero,data, luminosity);
166	+	LcorrJZBSBem = allsamples.Draw("LcorrJZBSBem", "mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&smallerzero,data, luminosity);
167	+	RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm","mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&largerzero,data, luminosity);
168	+	LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm","mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&smallerzero,data, luminosity);
169	+	}
170	+
171	+	TH1F Bpred = (TH1F)LcorrJZBeemm->Clone("Bpred");
172	+	if(PlottingSetup::RestrictToMassPeak) {
173	+	Bpred->Add(RcorrJZBem,1.0/3.);
174	+	Bpred->Add(LcorrJZBem,-1.0/3.);
175	+	Bpred->Add(RcorrJZBSBem,1.0/3.);
176	+	Bpred->Add(LcorrJZBSBem,-1.0/3.);
177	+	Bpred->Add(RcorrJZBSBeemm,1.0/3.);
178	+	Bpred->Add(LcorrJZBSBeemm,-1.0/3.);
179	+	} else {
180	+	Bpred->Add(RcorrJZBem,1.0);
181	+	Bpred->Add(LcorrJZBem,-1.0);
182	+	}
183	+
184	+	Bpred->SetLineColor(kRed);
185	+
186	+	RcorrJZBeemm->Draw();
187	+	mcRcorrJZBeemm.Draw("same");
188	+	Bpred->Draw("histo,same");
189	+	RcorrJZBeemm->Draw("same");
190	+
191	+	TLegend *leg = allsamples.allbglegend();
192	+	leg->SetX1(0.58);
193	+	leg->AddEntry(RcorrJZBeemm,"observed (data)","l");
194	+	leg->AddEntry(Bpred,"predicted (data)","l");
195	+	leg->Draw("same");
196	+
197	+	stringstream saveas;
198	+	saveas << "kin/Mll_After_Cut/Cut_At" << jzbthreshold;
199	+	CompleteSave(ckin,saveas.str());
200	+
201	+	delete RcorrJZBeemm;
202	+	delete LcorrJZBeemm;
203	+	delete RcorrJZBem;
204	+	delete LcorrJZBem;
205	+	if(PlottingSetup::RestrictToMassPeak) {
206	+	delete RcorrJZBSBeemm;
207	+	delete LcorrJZBSBeemm;
208	+	delete RcorrJZBSBem;
209	+	delete LcorrJZBSBem;
210	+	}
211	+	delete Bpred;
212	+	delete ckin;
213	+	}
214	+
215		void make_special_mll_plot(int nbins, float min, float max, bool logscale,string xlabel) {
216
217		TCanvas *ckin = new TCanvas("ckin","Kinematic Plots (in the making)",600,600);
#	Line 106 \| Line 246 \| void make_special_mll_plot(int nbins, fl
246		TIter next(bgleg->GetListOfPrimitives());
247		TObject* obj;
248		// Copy the nice bkgd legend skipping the "data"
249	<	while ( obj = next() )
249	>	while ( (obj = next()) )
250		if ( strcmp(((TLegendEntry*)obj)->GetObject()->GetName(),"datahistoOSSF") )
251		kinleg->GetListOfPrimitives()->Add(obj);
252
#	Line 125 \| Line 265 \| *void draw_ratio_plot(TH1 hdata, THStack**
265		TIter next(hmc.GetHists());
266		TObject* obj;
267		TH1* hratio = NULL;
268	<	while ( obj = next() ) {
268	>	while ( (obj = next()) ) {
269		if ( !hratio ) {
270		hratio = (TH1*)obj->Clone();
271		hratio->SetName("hratio");
#	Line 186 \| Line 326 \| void make_kin_plot(string variable, stri
326		TCut cut;
327		cut=cutmass&&cutOSSF&&cutnJets&&ibasiccut;
328		if(filename=="nJets") cut=cutmass&&cutOSSF&&ibasiccut;
329	+	if(filename=="nJets_osof") cut=cutmass&&cutOSOF&&ibasiccut;
330		if(filename=="nJets_nocuts_except_mll_ossf") cut=cutmass&&cutOSSF;
331		if(filename=="mll") {
332		cut=cutOSSF&&cutnJets&&ibasiccut;
#	Line 197 \| Line 338 \| void make_kin_plot(string variable, stri
338		draw_separation_lines=true;
339		}
340		if(filename=="mll_mm") cut=cutOSSF&&cutnJets&&ibasiccut&&"id1==1";
341	<	if(filename=="mll_aboveJZB100") cut=cutOSSF&&cutnJets&&ibasiccut;
341	>	if(Contains(filename,"mll_aboveJZB100")) cut=cutOSSF&&cutnJets&&ibasiccut;
342	>	if(Contains(filename,"mll_osof_aboveJZB")) cut=cutOSOF&&cutnJets&&ibasiccut;
343		if(filename=="mll_inclusive"\|\|filename=="mll_inclusive_highrange") cut=cutOSSF;
344		if(filename=="mll_inclusive_osof") cut=cutOSOF;
345		if(filename=="mll_inclusive_ee") cut=cutOSSF&&"id1==0";
#	Line 212 \| Line 354 \| void make_kin_plot(string variable, stri
354		THStack mcstack = allsamples.DrawStack("mcstack",variable,nbins,min,max, xlabel, "events",cut,mc,luminosity);
355		if(variable=="pfJetGoodPt[0]") datahisto->SetMaximum(10*datahisto->GetMaximum());
356		if(variable=="pt") datahisto->SetMaximum(10*datahisto->GetMaximum());
357	<	if(filename=="mll_inclusive") datahisto->SetMinimum(1);
357	>	if(filename=="mll_inclusive"\|\|filename=="mll_inclusive_mm"\|\|filename=="mll_inclusive_ee") datahisto->SetMinimum(1);
358		if(filename=="mll_osof") datahisto->SetMaximum(10*datahisto->GetMaximum());
359		if(filename=="mll_osof") datahisto->SetMinimum(9);
218	–
360		datahisto->SetMaximum(5.3*datahisto->GetMaximum());
361		datahisto->Draw("e1");
362		ckin->Update();
#	Line 295 \| Line 436 \| void make_kin_plot(string variable, stri
436		delete ckin;
437		}
438
298	–
439		void make_JES_plot() {
440
441		int nbins=10;
#	Line 347 \| Line 487 \| void do_kinematic_plots(string mcjzb, st
487		bool dolog=true;
488		bool nolog=false;
489		if(doPF) write_warning(__FUNCTION__,"Please use caution when trying to produce PF plots; not all versions of the JZB trees have these variables!");
490	<	float mll_low=40;
490	>	float mll_low=50;
491		float mll_hi=160;
492		if(!PlottingSetup::RestrictToMassPeak) {
493	<	mll_low=30;
494	<	mll_hi=180;
493	>	mll_low=20;
494	>	mll_hi=210;
495		}
496	+
497	+	make_kin_plot("met[4]","",40,0,200,dolog,"MET [GeV]","met",doPF,true);
498		make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll",doPF,true);
499		make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_osof",doPF,true,true);
500		make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_ee",doPF,true);
#	Line 360 \| Line 502 \| void do_kinematic_plots(string mcjzb, st
502		make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive",doPF,true);
503		make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_ee",doPF,true);
504		make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_mm",doPF,true);
505	<	make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_osof",doPF,true);
505	>	make_kin_plot("mll","",(int)((mll_hi-mll_low))/2,mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_osof",doPF,true);
506		make_kin_plot("mll","",(int)((350-mll_low)),mll_low,350,dolog,"m_{ll} [GeV]","mll_inclusive_highrange",doPF);
507	<	make_kin_plot("jetpt[0]","",40,0,200,dolog,"leading jet p_{T} [GeV]","pfJetGoodPt_0",doPF);
508	<	make_kin_plot("jeteta[0]","",40,-5,5,nolog,"leading jet #eta","pfJetGoodEta_0",doPF);
507	>	make_kin_plot("numVtx","",(int)(30.5-(-0.5)),-0.5,30.5,nolog,"N(Vtx)","numVtx",doPF);
508	>	// make_kin_plot("jetpt[0]","",40,0,200,dolog,"leading jet p_{T} [GeV]","pfJetGoodPt_0",doPF);
509	>	// make_kin_plot("jeteta[0]","",40,-5,5,nolog,"leading jet #eta","pfJetGoodEta_0",doPF);
510		make_kin_plot("pt","",50,0,400,dolog,"Z p_{T} [GeV]","Zpt",doPF);
511		make_kin_plot("pt1","",50,0,100,nolog,"p_{T} [GeV]","pt1",doPF);
512		make_kin_plot("pt2","",50,0,100,nolog,"p_{T} [GeV]","pt2",doPF);
513		make_kin_plot("eta1","",40,-5,5,nolog,"#eta_{l}","eta",doPF);
514		make_kin_plot("jzb[1]","",100,-150,150,dolog,"JZB [GeV]","jzb_ossf",doPF);
515	<	make_kin_plot("pfJetGoodNum","",8,0.5,8.5,dolog,"nJets","nJets",doPF);
516	<	make_kin_plot("pfJetGoodNum","",8,0.5,8.5,dolog,"nJets","nJets_nocuts_except_mll_ossf",doPF);
515	>	make_kin_plot("pfJetGoodNum40","",9,-0.5,8.5,dolog,"nJets","nJets",doPF);
516	>	make_kin_plot("pfJetGoodNum40","",9,-0.5,8.5,dolog,"nJets","nJets_osof",doPF);
517	>	make_kin_plot("pfJetGoodNum40","",9,-0.5,8.5,dolog,"nJets","nJets_nocuts_except_mll_ossf",doPF);
518		if(!doPF) make_special_mll_plot((int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]");
519		stringstream jzbcut;
520		jzbcut << "((is_data&&("<<datajzb<<")>100)\|\|(!is_data&&("<<mcjzb<<")>100))";
521		make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB100",doPF,true);
522	+	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);
523	+	make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB100",doPF,true);
524	+	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);
525	+	stringstream jzbcut2;
526	+	jzbcut2 << "((is_data&&("<<datajzb<<")>150)\|\|(!is_data&&("<<mcjzb<<")>150))";
527	+	make_kin_plot("mll",jzbcut2.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB150",doPF,true);
528	+	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);
529	+	stringstream jzbcut3;
530	+	jzbcut3 << "((is_data&&("<<datajzb<<")>50)\|\|(!is_data&&("<<mcjzb<<")>50))";
531	+	make_kin_plot("mll",jzbcut3.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB50",doPF,true);
532	+	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);
533	+
534	+	make_special_obs_pred_mll_plot(mcjzb,0);
535	+	make_special_obs_pred_mll_plot(mcjzb,50);
536	+	make_special_obs_pred_mll_plot(mcjzb,100);
537	+	make_special_obs_pred_mll_plot(mcjzb,150);
538	+	make_special_obs_pred_mll_plot(mcjzb,200);
539	+	make_special_obs_pred_mll_plot(mcjzb,250);
540		}
541
542		void make_comp_plot( string var, string xlabel, string filename, float jzbcut, string mcjzb, string datajzb,
#	Line 446 \| Line 608 \| void region_comparison_plots(string mcjz
608
609
610		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- the arguments changed
611	<	for(int ijzb=0;ijzb<jzb_cuts.size();ijzb++) {
611	>	for(int ijzb=0;ijzb<(int)jzb_cuts.size();ijzb++) {
612		float jzbcut=jzb_cuts[ijzb]; // Comparison plots are done for this JZB cut
613		float mll_low=50;float mll_high=170;
614		if(!PlottingSetup::RestrictToMassPeak) {
#	Line 484 \| Line 646 \| void signal_bg_comparison()
646		float simulatedlumi=luminosity;//in pb please - adjust to your likings
647
648		TH1F *JZBplotZJETs = allsamples.Draw("JZBplotZJETs",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("/DY"));
649	<	TH1F *JZBplotLM4 = allsamples.Draw("JZBplotLM4",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("LM4"));
649	>	TH1F *JZBplotLM4;
650	>	if(PlottingSetup::RestrictToMassPeak) JZBplotLM4 = allsamples.Draw("JZBplotLM4",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("LM4"));
651	>	else JZBplotLM4 = allsamples.Draw("JZBplotLM4",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("LM3"));
652		TH1F *JZBplotTtbar = allsamples.Draw("JZBplotTtbar",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("TTJets"));
653
654		JZBplotTtbar->SetLineColor(allsamples.GetColor("TTJet"));
#	Line 508 \| Line 672 \| void signal_bg_comparison()
672		TLegend *signal_bg_comparison_leg2 = make_legend("",0.55,0.75,false);
673		signal_bg_comparison_leg2->AddEntry(JZBplotZJETs,"Z+Jets","f");
674		signal_bg_comparison_leg2->AddEntry(JZBplotTtbar,"t#bar{t}","f");
675	<	signal_bg_comparison_leg2->AddEntry(JZBplotLM4,"LM4","f");
675	>	if(PlottingSetup::RestrictToMassPeak) signal_bg_comparison_leg2->AddEntry(JZBplotLM4,"LM4","f");
676	>	else signal_bg_comparison_leg2->AddEntry(JZBplotLM4,"LM3","f");
677		signal_bg_comparison_leg2->Draw();
678		DrawMCPrelim(simulatedlumi);
679		CompleteSave(can,"jzb_bg_vs_signal_distribution");
#	Line 750 \| Line 915 \| if you want to start from scratch (witho
915		return return_functions;
916		}
917
918	<	void do_prediction_plot(string jzb, TCanvas *globalcanvas, float sigma, float high, int use_data, bool overlay_signal = false )
918	>	void do_prediction_plot(string jzb, TCanvas *globalcanvas, float high, int use_data, bool overlay_signal = false,string subdir="" )
919		{
920	+	switch_overunderflow(true);
921		bool is_data=false;
922		bool use_signal=false;
923		if(use_data==1) is_data=true;
#	Line 760 \| Line 926 \| void do_prediction_plot(string jzb, TCan
926		if(is_data) nbins=50;
927		float low=0;
928		float hi=500;
929	+
930	+	stringstream largerzeroS;
931	+	largerzeroS << "("<<jzb<<">0)";
932	+	TCut largerzero(largerzeroS.str().c_str());
933	+	stringstream smallerzeroS;
934	+	smallerzeroS << "("<<jzb<<"<0)";
935	+	TCut smallerzero(smallerzeroS.str().c_str());
936	+
937		TH1F *blankback = new TH1F("blankback","blankback",int(high/10),0,high);
938	<	TH1F *RcorrJZBeemm = allsamples.Draw("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
939	<	TH1F *LcorrJZBeemm = allsamples.Draw("LcorrJZBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
940	<	TH1F *RcorrJZBem = allsamples.Draw("RcorrJZBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
941	<	TH1F *LcorrJZBem = allsamples.Draw("LcorrJZBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
938	>	TH1F *RcorrJZBeemm = allsamples.Draw("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
939	>	TH1F *LcorrJZBeemm = allsamples.Draw("LcorrJZBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
940	>	TH1F *RcorrJZBem = allsamples.Draw("RcorrJZBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
941	>	TH1F *LcorrJZBem = allsamples.Draw("LcorrJZBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
942	>
943		blankback->GetXaxis()->SetTitle(RcorrJZBeemm->GetXaxis()->GetTitle());
944		blankback->GetYaxis()->SetTitle(RcorrJZBeemm->GetYaxis()->GetTitle());
945		blankback->GetXaxis()->CenterTitle();
#	Line 779 \| Line 954 \| void do_prediction_plot(string jzb, TCan
954		TH1F *RcorrJZBeemmNoS;
955
956		//these are for the ratio
957	<	TH1F *JRcorrJZBeemm = allsamples.Draw("JRcorrJZBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
958	<	TH1F *JLcorrJZBeemm = allsamples.Draw("JLcorrJZBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
959	<	TH1F *JRcorrJZBem = allsamples.Draw("JRcorrJZBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
960	<	TH1F *JLcorrJZBem = allsamples.Draw("JLcorrJZBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
957	>
958	>	TH1F *JRcorrJZBeemm = allsamples.Draw("JRcorrJZBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
959	>	TH1F *JLcorrJZBeemm = allsamples.Draw("JLcorrJZBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
960	>	TH1F *JRcorrJZBem = allsamples.Draw("JRcorrJZBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
961	>	TH1F *JLcorrJZBem = allsamples.Draw("JLcorrJZBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
962
963		TH1F *JRcorrJZBSBem;
964		TH1F *JLcorrJZBSBem;
965		TH1F *JRcorrJZBSBeemm;
966		TH1F *JLcorrJZBSBeemm;
967
968	<	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);
968	>	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);
969
970
971		if(PlottingSetup::RestrictToMassPeak) {
972	<	RcorrJZBSBem = allsamples.Draw("RcorrJZBSBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
973	<	LcorrJZBSBem = allsamples.Draw("LcorrJZBSBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
974	<	RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
975	<	LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
976	<
972	>	RcorrJZBSBem = allsamples.Draw("RcorrJZBSBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
973	>	LcorrJZBSBem = allsamples.Draw("LcorrJZBSBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
974	>	RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
975	>	LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
976	>
977		//these are for the ratio
978	<	JRcorrJZBSBem = allsamples.Draw("JRcorrJZBSBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
979	<	JLcorrJZBSBem = allsamples.Draw("JLcorrJZBSBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
980	<	JRcorrJZBSBeemm = allsamples.Draw("JRcorrJZBSBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
981	<	JLcorrJZBSBeemm = allsamples.Draw("JLcorrJZBSBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
806	<
978	>	JRcorrJZBSBem = allsamples.Draw("JRcorrJZBSBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
979	>	JLcorrJZBSBem = allsamples.Draw("JLcorrJZBSBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
980	>	JRcorrJZBSBeemm = allsamples.Draw("JRcorrJZBSBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
981	>	JLcorrJZBSBeemm = allsamples.Draw("JLcorrJZBSBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
982		}
983
984		TH1F *lm4RcorrJZBeemm;
985	<	if(overlay_signal \|\| use_data == 2 ) lm4RcorrJZBeemm = allsamples.Draw("lm4RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,allsamples.FindSample("LM4"));
985	>	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"));
986
987		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- prediction changed.
988
#	Line 816 \| Line 991 \| void do_prediction_plot(string jzb, TCan
991
992		TH1F Bpred = (TH1F)LcorrJZBeemm->Clone("Bpred");
993		TH1F JBpred = (TH1F)JLcorrJZBeemm->Clone("Bpred");
994	+
995	+	TH1F *BpredSys = new TH1F("Bpredsys","Bpredsys",PlottingSetup::global_ratio_binning.size()-1,&PlottingSetup::global_ratio_binning[0]);
996	+	ClearHisto(BpredSys);
997	+
998		if(PlottingSetup::RestrictToMassPeak) {
999		Bpred->Add(RcorrJZBem,1.0/3.);
1000		Bpred->Add(LcorrJZBem,-1.0/3.);
#	Line 838 \| Line 1017 \| void do_prediction_plot(string jzb, TCan
1017		JBpred->Add(JLcorrJZBSBem,-1.0/3.);
1018		JBpred->Add(JRcorrJZBSBeemm,1.0/3.);
1019		JBpred->Add(JLcorrJZBSBeemm,-1.0/3.);
1020	+
1021	+	//Systematics:
1022	+	AddSquared(BpredSys,JLcorrJZBeemm,zjetsestimateuncertONPEAK*zjetsestimateuncertONPEAK);
1023	+	AddSquared(BpredSys,JRcorrJZBem,emuncertONPEAKemuncertONPEAK(1.0/9));
1024	+	AddSquared(BpredSys,JLcorrJZBem,emuncertONPEAKemuncertONPEAK(1.0/9));
1025	+	AddSquared(BpredSys,JRcorrJZBSBem,emsidebanduncertONPEAKemsidebanduncertONPEAK(1.0/9));
1026	+	AddSquared(BpredSys,JLcorrJZBSBem,emsidebanduncertONPEAKemsidebanduncertONPEAK(1.0/9));
1027	+	AddSquared(BpredSys,JRcorrJZBSBeemm,eemmsidebanduncertONPEAKeemmsidebanduncertONPEAK(1.0/9));
1028	+	AddSquared(BpredSys,JLcorrJZBSBeemm,eemmsidebanduncertONPEAKeemmsidebanduncertONPEAK(1.0/9));
1029		} else {
1030		Bpred->Add(RcorrJZBem,1.0);
1031		Bpred->Add(LcorrJZBem,-1.0);
#	Line 847 \| Line 1035 \| void do_prediction_plot(string jzb, TCan
1035		//these are for the ratio
1036		JBpred->Add(JRcorrJZBem,1.0);
1037		JBpred->Add(JLcorrJZBem,-1.0);
1038	+
1039	+	//Systematics
1040	+	AddSquared(BpredSys,JLcorrJZBeemm,zjetsestimateuncertOFFPEAK*zjetsestimateuncertOFFPEAK);
1041	+	AddSquared(BpredSys,JRcorrJZBem,emuncertOFFPEAK*emuncertOFFPEAK);
1042	+	AddSquared(BpredSys,JLcorrJZBem,emuncertOFFPEAK*emuncertOFFPEAK);
1043	+
1044		}
1045
1046	<
1046	>	SQRT(BpredSys);
1047	>	BpredSys->Divide(JBpred);
1048	>
1049
1050		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- prediction changed
1051		TH1F Tpred = (TH1F)RcorrJZBem->Clone("Bpred");
#	Line 894 \| Line 1090 \| void do_prediction_plot(string jzb, TCan
1090		blankback->Draw();
1091		if(use_data==1)
1092		{
1093	+	//Bpred->SetLineWidth(3); //paper style.overruled.
1094	+	//lm4RcorrJZBeemm->SetLineWidth(3); //paper style.overruled.
1095		analytical_function = do_extended_fit_to_plot(Bpred,Tpred,LcorrJZBeemm,LcorrJZBem,is_data);
1096		kinpad->cd();//necessary because the extended fit function creates its own canvas
1097		RcorrJZBeemm->Draw("e1x0,same");
1098
1099		Bpred->Draw("hist,same");
1100	<	analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1100	>	//analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1101		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1102	+	lm4RcorrJZBeemm->Draw("hist,same");
1103		legBpred->AddEntry(RcorrJZBeemm,"observed","p");
1104		legBpred->AddEntry(Bpred,"predicted","l");
1105	<	legBpred->AddEntry(analytical_function[1],"predicted fit","l");
1106	<	legBpred->AddEntry(analytical_function[2],"stat. uncert.","l");
1107	<	if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1105	>	// legBpred->AddEntry(analytical_function[1],"predicted fit","l");
1106	>	// legBpred->AddEntry(analytical_function[2],"stat. uncert.","l");
1107	>	legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1108		legBpred->Draw();
1109		DrawPrelim();
1110
1111		//this plot shows what the prediction is composed of
1112	<	TCanvas *specialcanv = new TCanvas("specialcanv","specialcanv");
1113	<	specialcanv->SetLogy(1);
1114	<	Zjetspred->SetFillColor(kYellow);
1115	<	Zjetspred->SetLineColor(kYellow);
1116	<	TTbarpred->SetFillColor(allsamples.GetColor((allsamples.FindSample("TTJets"))[0]));
1117	<	TTbarpred->SetLineColor(allsamples.GetColor((allsamples.FindSample("TTJets"))[0]));
1112	>	TPad *predcomppad = new TPad("predcomppad","predcomppad",0,0,1,1);
1113	>	float CurrentBpredLineWidth=Bpred->GetLineWidth();
1114	>	Bpred->SetLineWidth(2);
1115	>	predcomppad->cd();
1116	>	predcomppad->SetLogy(1);
1117	>
1118	>	TH1F jzbnegative = (TH1F)LcorrJZBeemm->Clone("jzbnegative");
1119	>	TH1F sidebandsemu = (TH1F)Bpred->Clone("sidebandsemu");
1120	>	sidebandsemu->Add(jzbnegative,-1);
1121	>
1122	>	jzbnegative->SetFillColor(allsamples.GetColor((allsamples.FindSample("DY"))[0]));
1123	>	jzbnegative->SetLineColor(allsamples.GetColor((allsamples.FindSample("DY"))[0]));
1124	>	sidebandsemu->SetLineColor(allsamples.GetColor((allsamples.FindSample("TTJets"))[0]));
1125	>	sidebandsemu->SetFillColor(allsamples.GetColor((allsamples.FindSample("TTJets"))[0]));
1126	>
1127		THStack predcomposition("predcomposition","prediction composition");
1128	<	predcomposition.Add(TTbarpred);
1129	<	predcomposition.Add(Zjetspred);
1128	>	predcomposition.Add(sidebandsemu);
1129	>	predcomposition.Add(jzbnegative);
1130		blankback->Draw();
1131		RcorrJZBeemm->Draw("e1x0,same");
1132		predcomposition.Draw("histo,same");//
1133		Bpred->Draw("hist,same");
1134	<	analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1134	>	// analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1135		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1136	<	legBpred->Draw();
1136	>	// lm4RcorrJZBeemm->SetLineColor(kOrange+1);
1137	>	lm4RcorrJZBeemm->SetLineWidth(2);
1138	>	//lm4RcorrJZBeemm->SetLineWidth(2); // paper style. overruled.
1139	>	lm4RcorrJZBeemm->Draw("histo,same");
1140		DrawPrelim();
1141	<	TLegend *specialleg = new TLegend(0.6,0.4,0.89,0.55);
1142	<	specialleg->SetFillColor(kWhite);specialleg->SetLineColor(kWhite);
1143	<	specialleg->AddEntry(Zjetspred,"Z+Jets prediction","f");
1144	<	specialleg->AddEntry(TTbarpred,"t#bar{t} prediction","f");
1145	<	specialleg->Draw("same");
1146	<	CompleteSave(specialcanv,"Bpred_Data_____PredictionComposition");
1147	<
1141	>	TLegend *speciallegBpred = make_legend("",0.45,0.55);
1142	>	//TLegend *speciallegBpred = make_legend("",0.35,0.55); // paper style. overruled.
1143	>	speciallegBpred->AddEntry(RcorrJZBeemm,"Data","pl");
1144	>	speciallegBpred->AddEntry(Bpred,"Total background","l");
1145	>	speciallegBpred->AddEntry(jzbnegative,"JZB<0 (data)","f");
1146	>	speciallegBpred->AddEntry(sidebandsemu,"Sidebands/e#mu (data)","f");
1147	>	// speciallegBpred->AddEntry(lm4RcorrJZBeemmC,"LM4","l");
1148	>	speciallegBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1149	>	speciallegBpred->Draw();
1150	>	save_with_ratio(JRcorrJZBeemm,JBpred,predcomppad,subdir+"Bpred_Data_____PredictionComposition",true,true,"data/pred",BpredSys);
1151	>
1152	>	TCanvas *specialcanv = new TCanvas("specialcanv","specialcanv");
1153		THStack kostack = allsamples.DrawStack("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,!is_data, luminosity,use_signal);
1154		blankback->Draw();
1155		kostack.Draw("same");
#	Line 942 \| Line 1158 \| void do_prediction_plot(string jzb, TCan
1158		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1159		legBpred->Draw();
1160		DrawPrelim();
1161	<	CompleteSave(specialcanv,"Bpred_Data_____PredictionCompositioninMC");
1161	>	CompleteSave(specialcanv,subdir+"Bpred_Data_____PredictionCompositioninMC");
1162	>	Bpred->SetLineWidth((int)CurrentBpredLineWidth);
1163
1164	<	delete specialcanv;
948	<	delete specialleg;
1164	>	delete speciallegBpred;
1165		delete Zjetspred;
1166		delete TTbarpred;
1167
#	Line 953 \| Line 1169 \| void do_prediction_plot(string jzb, TCan
1169		}
1170		if(use_data==0) {
1171		RcorrJZBeemm->Draw("e1x0,same");
1172	+	//Bpred->SetLineWidth(3); // paper style. overruled.
1173		Bpred->Draw("hist,same");
1174		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1175	<	legBpred->AddEntry(RcorrJZBeemm,"MC observed","p");
1176	<	legBpred->AddEntry(Bpred,"MC predicted","l");
1175	>	legBpred->AddEntry(RcorrJZBeemm,"MC true","p");
1176	>	legBpred->AddEntry(Bpred,"MC predicted","l");
1177		if(versok) legBpred->AddEntry((TObject*)0,"",""); // Just for alignment // causes seg fault on root v5.18
1178		if(versok) legBpred->AddEntry((TObject*)0,"",""); // causes seg fault on root v5.18
1179		if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
#	Line 967 \| Line 1184 \| void do_prediction_plot(string jzb, TCan
1184		}
1185		if(use_data==2) {
1186		RcorrJZBeemm->Draw("e1x0,same");
1187	+	//Bpred->SetLineWidth(3); // paper style. overruled.
1188		Bpred->Draw("hist,same");
1189		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1190	<	legBpred->AddEntry(RcorrJZBeemm,"MC observed","p");
1190	>	legBpred->AddEntry(RcorrJZBeemm,"MC true","p");
1191		legBpred->AddEntry(Bpred,"MC predicted","l");
1192	<	legBpred2->AddEntry(RcorrJZBeemm,"MC observed","p");
1192	>	legBpred2->AddEntry(RcorrJZBeemm,"MC true","p");
1193		legBpred2->AddEntry(Bpred,"MC predicted","l");
1194		{
1195		if(versok) legBpred->AddEntry((TObject*)0,"",""); // Just for alignment // causes seg fault on root v5.18 --> now only allowed for root >=v5.30
#	Line 982 \| Line 1200 \| void do_prediction_plot(string jzb, TCan
1200		// CompleteSave(globalcanvas,"Bpred_MCwithS"); // done below in save_with_ratio
1201		}
1202		{
1203	+	//lm4RcorrJZBeemm->SetLineWidth(3); //paper style. overruled.
1204	+	//RcorrJZBeemmNoS->SetLineWidth(3); //paper style. overruled.
1205	+	//lm4RcorrJZBeemm->SetLineStyle(2); //paper style. overruled.
1206	+	//RcorrJZBeemmNoS->SetLineStyle(3); //paper style. overruled.
1207	+	//lm4RcorrJZBeemm->SetLineColor(kOrange+1); //paper style. overruled.
1208	+
1209		RcorrJZBeemmNoS->SetLineStyle(2);
1210		legBpred2->AddEntry(RcorrJZBeemmNoS,"MC B","l");
1211		legBpred2->AddEntry(lm4RcorrJZBeemm,"MC S","l");
#	Line 1000 \| Line 1224 \| void do_prediction_plot(string jzb, TCan
1224		//3rd last argument: do special bpred ratio, 2nd last argument: extended range!, last: y-axis title
1225		string ytitle("ratio");
1226		if ( use_data==1 ) ytitle = "data/pred";
1227	<	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,Bpredsaveas,true,use_data!=1,ytitle);
1227	>	//save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,Bpredsaveas,true,use_data!=1,ytitle);
1228	>	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,subdir+Bpredsaveas,true,true,ytitle,BpredSys);//not extending the y range anymore up to 4
1229
1230
1231		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1232	<	/// The part below is meaningless for the offpeak analysis (it's a comparison of the different estimates but there is but one estimate!)
1233	<	if(!PlottingSetup::RestrictToMassPeak) return;
1234	<	TH1F Bpredem = (TH1F)LcorrJZBeemm->Clone("Bpredem");
1235	<	Bpredem->Add(RcorrJZBem);
1236	<	Bpredem->Add(LcorrJZBem,-1);
1237	<	TH1F BpredSBem = (TH1F)LcorrJZBeemm->Clone("BpredSBem");
1238	<	BpredSBem->Add(RcorrJZBSBem);
1239	<	Bpred->Add(LcorrJZBSBem,-1);
1240	<	TH1F BpredSBeemm = (TH1F)LcorrJZBeemm->Clone("BpredSBeemm");
1241	<	BpredSBeemm->Add(RcorrJZBSBeemm);
1242	<	BpredSBeemm->Add(LcorrJZBSBeemm,-1.0);
1243	<	globalcanvas->cd();
1244	<	globalcanvas->SetLogy(1);
1245	<
1246	<	RcorrJZBeemm->SetMarkerStyle(20);
1247	<	RcorrJZBeemm->GetXaxis()->SetRangeUser(0,high);
1248	<	blankback->Draw();
1249	<	RcorrJZBeemm->Draw("e1x0,same");
1250	<	RcorrJZBeemm->SetMarkerSize(DataMarkerSize);
1251	<
1252	<	Bpredem->SetLineColor(kRed+1);
1253	<	Bpredem->SetStats(0);
1254	<	Bpredem->Draw("hist,same");
1255	<
1256	<	BpredSBem->SetLineColor(kGreen+2);//TColor::GetColor("#0B6138"));
1257	<	BpredSBem->SetLineStyle(2);
1258	<	BpredSBem->Draw("hist,same");
1259	<
1260	<	BpredSBeemm->SetLineColor(kBlue+1);
1261	<	BpredSBeemm->SetLineStyle(3);
1262	<	BpredSBeemm->Draw("hist,same");
1263	<	RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1264	<
1265	<	TLegend *legBpredc = make_legend("",0.6,0.55);
1266	<	if(use_data==1)
1267	<	{
1268	<	legBpredc->AddEntry(RcorrJZBeemm,"observed","p");
1269	<	legBpredc->AddEntry(Bpredem,"OFZP","l");
1270	<	legBpredc->AddEntry(BpredSBem,"OFSB","l");
1271	<	legBpredc->AddEntry(BpredSBeemm,"SFSB","l");
1272	<	legBpredc->Draw();
1273	<	CompleteSave(globalcanvas,"Bpred_Data_comparison");
1274	<	}
1275	<	if(use_data==0) {
1276	<	legBpredc->AddEntry(RcorrJZBeemm,"MC observed","p");
1277	<	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1278	<	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1279	<	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1280	<	legBpredc->Draw();
1281	<	CompleteSave(globalcanvas,"Bpred_MC_comparison");
1282	<	}
1283	<	if(use_data==2) {
1284	<	legBpredc->AddEntry(RcorrJZBeemm,"MC observed","p");
1285	<	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1286	<	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1287	<	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1288	<	if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1289	<	legBpredc->Draw();
1290	<	CompleteSave(globalcanvas,"Bpred_MCwithS_comparison");
1232	>	// The part below is meaningless for the offpeak analysis (it's a comparison of the different estimates but there is but one estimate!)
1233	>	if(PlottingSetup::RestrictToMassPeak) {
1234	>	TH1F Bpredem = (TH1F)LcorrJZBeemm->Clone("Bpredem");
1235	>	Bpredem->Add(RcorrJZBem);
1236	>	Bpredem->Add(LcorrJZBem,-1);
1237	>	TH1F BpredSBem = (TH1F)LcorrJZBeemm->Clone("BpredSBem");
1238	>	BpredSBem->Add(RcorrJZBSBem);
1239	>	Bpred->Add(LcorrJZBSBem,-1);
1240	>	TH1F BpredSBeemm = (TH1F)LcorrJZBeemm->Clone("BpredSBeemm");
1241	>	BpredSBeemm->Add(RcorrJZBSBeemm);
1242	>	BpredSBeemm->Add(LcorrJZBSBeemm,-1.0);
1243	>	globalcanvas->cd();
1244	>	globalcanvas->SetLogy(1);
1245	>
1246	>	RcorrJZBeemm->SetMarkerStyle(20);
1247	>	RcorrJZBeemm->GetXaxis()->SetRangeUser(0,high);
1248	>	blankback->Draw();
1249	>	RcorrJZBeemm->Draw("e1x0,same");
1250	>	RcorrJZBeemm->SetMarkerSize(DataMarkerSize);
1251	>
1252	>	Bpredem->SetLineColor(kRed+1);
1253	>	Bpredem->SetStats(0);
1254	>	Bpredem->Draw("hist,same");
1255	>
1256	>	BpredSBem->SetLineColor(kGreen+2);//TColor::GetColor("#0B6138"));
1257	>	BpredSBem->SetLineStyle(2);
1258	>	BpredSBem->Draw("hist,same");
1259	>
1260	>	BpredSBeemm->SetLineColor(kBlue+1);
1261	>	BpredSBeemm->SetLineStyle(3);
1262	>	BpredSBeemm->Draw("hist,same");
1263	>	RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1264	>
1265	>	TLegend *legBpredc = make_legend("",0.6,0.55);
1266	>	if(use_data==1)
1267	>	{
1268	>	legBpredc->AddEntry(RcorrJZBeemm,"observed","p");
1269	>	legBpredc->AddEntry(Bpredem,"OFZP","l");
1270	>	legBpredc->AddEntry(BpredSBem,"OFSB","l");
1271	>	legBpredc->AddEntry(BpredSBeemm,"SFSB","l");
1272	>	legBpredc->Draw();
1273	>	CompleteSave(globalcanvas,subdir+"Bpred_Data_comparison");
1274	>	}
1275	>	if(use_data==0) {
1276	>	legBpredc->AddEntry(RcorrJZBeemm,"MC true","p");
1277	>	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1278	>	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1279	>	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1280	>	legBpredc->Draw();
1281	>	CompleteSave(globalcanvas,subdir+"Bpred_MC_comparison");
1282	>	}
1283	>	if(use_data==2) {
1284	>	legBpredc->AddEntry(RcorrJZBeemm,"MC true","p");
1285	>	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1286	>	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1287	>	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1288	>	if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1289	>	legBpredc->Draw();
1290	>	CompleteSave(globalcanvas,subdir+"Bpred_MCwithS_comparison");
1291	>	}
1292		}
1293	+
1294		delete RcorrJZBeemm;
1295		delete LcorrJZBeemm;
1296		delete RcorrJZBem;
#	Line 1088 \| Line 1315 \| void do_prediction_plot(string jzb, TCan
1315		delete JLcorrJZBSBeemm;
1316		}
1317		if(overlay_signal \|\| use_data==2) delete lm4RcorrJZBeemm;
1318	+	switch_overunderflow(false);
1319		}
1320
1321		void do_prediction_plots(string mcjzb, string datajzb, float DataSigma, float MCSigma, bool overlay_signal ) {
1322		TCanvas *globalcanvas = new TCanvas("globalcanvas","Prediction Canvas");
1323	<	do_prediction_plot(datajzb,globalcanvas,DataSigma,jzbHigh ,data,overlay_signal);
1324	<	do_prediction_plot(mcjzb,globalcanvas,MCSigma,jzbHigh ,mc,overlay_signal);
1325	<	do_prediction_plot(mcjzb,globalcanvas,MCSigma,jzbHigh ,mcwithsignal,overlay_signal);
1323	>	do_prediction_plot(datajzb,globalcanvas,jzbHigh ,data,overlay_signal);
1324	>	if ( !PlottingSetup::Approved ) {
1325	>	do_prediction_plot(mcjzb,globalcanvas,jzbHigh ,mc,overlay_signal);
1326	>	do_prediction_plot(mcjzb,globalcanvas,jzbHigh ,mcwithsignal,overlay_signal);
1327	>	} else {
1328	>	write_info(__FUNCTION__,"You set approved to true, therefore not producing prediction/observation plots for MC with and without signal.");
1329	>	}
1330		}
1331
1332		void do_ratio_plot(int is_data,vector<float> binning, string jzb, TCanvas *can, float high=-9999) {
#	Line 1444 \| Line 1676 \| void draw_pure_jzb_histo(TCut cut,string
1676		TText *writeline1 = write_cut_on_canvas(write_cut.c_str());
1677		writeline1->SetTextSize(0.035);
1678		writeline1->Draw();
1679	<	save_with_ratio(datahisto,mcstack,jzbpad->cd(),("jzb/"+savename));
1679	>	if(!Contains(savename,"Dibosons")) save_with_ratio(datahisto,mcstack,jzbpad->cd(),("jzb/"+savename));
1680	>	else save_with_ratio(datahisto,mcstack,jzbpad->cd(),savename);
1681		TPad *jzbpad2 = new TPad("jzbpad2","jzbpad2",0,0,1,1);
1682		jzbpad2->cd();
1683		jzbpad2->SetLogy(1);
#	Line 1459 \| Line 1692 \| void draw_pure_jzb_histo(TCut cut,string
1692		writeline1->SetTextSize(0.035);
1693		writeline1->Draw();
1694		DrawPrelim();
1695	<	save_with_ratio(datahisto,mcstack,jzbpad2->cd(),("jzb/PositiveSideOnly/"+savename+""));
1695	>	if(!Contains(savename,"Dibosons")) save_with_ratio(datahisto,mcstack,jzbpad2->cd(),("jzb/PositiveSideOnly/"+savename+""));
1696	>	else save_with_ratio(datahisto,mcstack,jzbpad2->cd(),(savename+"__PosOnly"));
1697		datahisto->Delete();
1698		mcstack.Delete();
1699		}
#	Line 1467 \| Line 1701 \| void draw_pure_jzb_histo(TCut cut,string
1701		Double_t GausR(Double_t x, Double_t par) {
1702		return gRandom->Gaus(x[0],par[0]);
1703		}
1704	+
1705	+	void produce_stretched_jzb_plots(string mcjzb, string datajzb,vector<float> ratio_binning) {
1706	+	TCanvas *dican = new TCanvas("dican","JZB Plots Canvas");
1707	+	float max=jzbHigh ;
1708	+	float min=-120;
1709	+	int nbins=(int)((max-min)/5.0); // we want 5 GeV/bin
1710	+	int coarserbins=int(nbins/2.0);
1711	+	int rebinnedbins=int(nbins/4.0);
1712
1713	+	vector<float>binning;vector<float>coarse_binning;vector<float>coarsest_binning;
1714	+	for(int i=0;i<=nbins;i++)binning.push_back(min+i*(max-min)/((float)nbins));
1715	+	for(int i=0;i<=coarserbins;i++)coarse_binning.push_back(min+i*(max-min)/((float)coarserbins));
1716	+	for(int i=0;i<=rebinnedbins;i++)coarsest_binning.push_back(min+i*(max-min)/((float)rebinnedbins));
1717	+
1718	+	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_SFZP",dican,binning);
1719	+	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_OFZP",dican,binning);
1720	+	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"Dibosons/ee/jzb_OS_SFZP",dican,binning);
1721	+	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"Dibosons/mm/jzb_OS_SFZP",dican,binning);
1722	+	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"Dibosons/ee/jzb_OS_OFZP",dican,binning);
1723	+	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"Dibosons/mm/jzb_OS_OFZP",dican,binning);
1724	+	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_SFSB",dican,binning);
1725	+	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_OFSB",dican,binning);
1726	+
1727	+	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_SFZP_coarse",dican,coarse_binning);
1728	+	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_OFZP_coarse",dican,coarse_binning);
1729	+	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_SFSB_coarse",dican,coarse_binning);
1730	+	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_OFSB_coarse",dican,coarse_binning);
1731	+
1732	+	delete dican;
1733	+	}
1734	+
1735	+
1736	+	void diboson_plots(string mcjzb, string datajzb,vector<float> ratio_binning) {
1737	+	vector<int> SamplesToBeModified = allsamples.FindSampleBySampleName("WW/WZ/ZZ");
1738	+
1739	+	if(SamplesToBeModified.size()==0 \|\| SamplesToBeModified[0]==-1) {
1740	+	write_error(__FUNCTION__,"Could not find any diboson samples - aborting diboson plots");
1741	+	return;
1742	+	}
1743	+
1744	+	float stretchfactor = 100.0;
1745	+	vector<string> labels;
1746	+
1747	+
1748	+	dout << "Going to increase the cross section for diboson samples ... " << endl;
1749	+	for(int i=0;i<(int)SamplesToBeModified.size();i++) {
1750	+	float origxs=(allsamples.collection)[SamplesToBeModified[i]].xs;
1751	+	(allsamples.collection)[SamplesToBeModified[i]].xs=origxs*stretchfactor;
1752	+	dout << " Increased xs for sample " << (allsamples.collection)[SamplesToBeModified[i]].filename << " from " << origxs << " to " << (allsamples.collection)[SamplesToBeModified[i]].xs << " (by a factor of " << stretchfactor << ")" << endl;
1753	+	labels.push_back((allsamples.collection)[SamplesToBeModified[i]].samplename);
1754	+	(allsamples.collection)[SamplesToBeModified[i]].samplename=any2string(int(stretchfactor))+" x "+(allsamples.collection)[SamplesToBeModified[i]].samplename;
1755	+	dout << " (also renamed it to " << (allsamples.collection)[SamplesToBeModified[i]].samplename << " )" << endl;
1756	+	}
1757	+
1758	+	dout << "Going to produce JZB plots" << endl;
1759	+	produce_stretched_jzb_plots(mcjzb,datajzb,ratio_binning);
1760	+	TCanvas *gloca = new TCanvas("gloca","gloca");
1761	+
1762	+	dout << "Going to produce prediction plots" << endl;
1763	+	do_prediction_plot(mcjzb, gloca, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do only MC plots, no signal
1764	+	do_prediction_plot(mcjzb, gloca, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do MC plots with signal
1765	+	delete gloca;
1766	+
1767	+	dout << "Going to reset the cross section for diboson samples ... " << endl;
1768	+	for(int i=0;i<(int)SamplesToBeModified.size();i++) {
1769	+	float Upxs=(allsamples.collection)[SamplesToBeModified[i]].xs;
1770	+	(allsamples.collection)[SamplesToBeModified[i]].xs=(allsamples.collection)[SamplesToBeModified[i]].xs*(1.0/stretchfactor);
1771	+	string Upname=(allsamples.collection)[SamplesToBeModified[i]].samplename;
1772	+	(allsamples.collection)[SamplesToBeModified[i]].samplename=labels[i];
1773	+	dout << " Reset xs for sample " << (allsamples.collection)[SamplesToBeModified[i]].samplename << " from " << Upxs << " to " << (allsamples.collection)[SamplesToBeModified[i]].xs << " (by a factor of " << stretchfactor << ") and reset the correct name (from " << Upname << ")" << endl;
1774	+
1775	+	}
1776	+
1777	+	}
1778		void jzb_plots(string mcjzb, string datajzb,vector<float> ratio_binning) {
1779		TCanvas *can = new TCanvas("can","JZB Plots Canvas");
1780		float max=jzbHigh ;
#	Line 1481 \| Line 1788 \| void jzb_plots(string mcjzb, string data
1788		for(int i=0;i<=coarserbins;i++)coarse_binning.push_back(min+i*(max-min)/((float)coarserbins));
1789		for(int i=0;i<=rebinnedbins;i++)coarsest_binning.push_back(min+i*(max-min)/((float)rebinnedbins));
1790
1791	<	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP",can,binning);
1792	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP",can,binning);
1793	<	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_SFZP",can,binning);
1794	<	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_SFZP",can,binning);
1795	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_OFZP",can,binning);
1796	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_OFZP",can,binning);
1797	<	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1798	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB",can,binning);
1799	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB",can,binning);
1791	>	if ( !PlottingSetup::Approved ) {
1792	>	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP",can,binning);
1793	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP",can,binning);
1794	>	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_SFZP",can,binning);
1795	>	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_SFZP",can,binning);
1796	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_OFZP",can,binning);
1797	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_OFZP",can,binning);
1798	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1799	>	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB",can,binning);
1800	>	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB",can,binning);
1801	>	}
1802
1803		draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP_coarse",can,coarse_binning);
1804	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP_coarse",can,coarse_binning);
1805	<	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1806	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB_coarse",can,coarse_binning);
1807	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB_coarse",can,coarse_binning);
1808	<
1809	<	// draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP_coarsest",can,coarsest_binning);
1810	<	// draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP_coarsest",can,coarsest_binning);
1502	<	// flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1503	<	// if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB_coarsest",can,coarsest_binning);
1504	<	// if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB_coarsest",can,coarsest_binning);
1804	>	if ( !PlottingSetup::Approved ) {
1805	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP_coarse",can,coarse_binning);
1806	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1807	>	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB_coarse",can,coarse_binning);
1808	>	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB_coarse",can,coarse_binning);
1809	>	}
1810	>	delete can;
1811		}
1812
1813
#	Line 1556 \| Line 1862 \| void compute_MC_yields(string mcjzb,vect
1862		string posneg[] = {"pos","neg"};
1863		TCut tkRegions[] = {cutOSSF&&cutnJets&&cutmass,cutOSOF&&cutnJets&&cutmass,cutOSSF&&cutnJets&&sidebandcut,cutOSOF&&cutnJets&&sidebandcut};
1864
1865	<	for(int ijzb=0;ijzb<jzb_cuts.size();ijzb++) {
1865	>	for(int ijzb=0;ijzb<(int)jzb_cuts.size();ijzb++) {
1866		TCut jzbMC[] = { give_jzb_expression(mcjzb,jzb_cuts[ijzb],"pos"), give_jzb_expression(mcjzb,jzb_cuts[ijzb],"neg") };
1867		dout << "_________________________________________________________" << endl;
1868		dout << "Table for JZB> " << jzb_cuts[ijzb] << endl;
1869	<	for(int isample=0;isample<(allsamples.collection).size();isample++) {
1869	>	for(int isample=0;isample<(int)(allsamples.collection).size();isample++) {
1870		if(!(allsamples.collection)[isample].is_data) dout << (allsamples.collection)[isample].samplename << " & ";
1871		else dout << "Sample & ";
1872		for(int iregion=0;iregion<nRegions;iregion++) {
#	Line 1819 \| Line 2125 \| void draw_ttbar_and_zjets_shape_for_one_
2125
2126		void draw_ttbar_and_zjets_shape(string mcjzb, string datajzb) {
2127		int all_leptons=-1;
1822	–	int electrons_only=0;
1823	–	int mu_only=1;
1824	–	int twojetswith50gev=1;
2128		int threejetswith30gev=0;
2129		/*
2130	+	int twojetswith50gev=1;
2131	+	int electrons_only=0;
2132	+	int mu_only=1;
2133	+
2134		draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,all_leptons,twojetswith50gev);
2135		draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,all_leptons,threejetswith30gev);
2136
#	Line 1837 \| Line 2144 \| void draw_ttbar_and_zjets_shape(string m
2144		draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,all_leptons,threejetswith30gev,true);
2145		}
2146
2147	<	void find_correction_factors(string &jzbvardata,string &jzbvarmc) {
1841	<	//first: colorful plots
2147	>	float find_one_correction_factor(string FindKeyword, TCut SpecialCut, string SaveAs) {
2148		TCanvas *cancorr = new TCanvas("cancorr","Canvas for Response Correction");
2149		cancorr->SetLogz();
2150		cancorr->SetRightMargin(0.13);
2151	<	flag_this_change(__FUNCTION__,__LINE__,false);//PlottingSetup::RestrictToMassPeak
2152	<	TCut zptforresponsepresentation("pt<600"&&cutmass&&cutOSSF&&"((sumJetPt[1]/pt)<5.0)");
2151	>	TCut zptforresponsepresentation("pt<600"&&cutmass&&cutOSSF&&"((sumJetPt[1]/pt)<5.0)"&&SpecialCut);
2152	>	if(PlottingSetup::DoBTag) zptforresponsepresentation=zptforresponsepresentation&&PlottingSetup::bTagRequirement;
2153		TH2F *niceresponseplotd = new TH2F("niceresponseplotd","",100,0,600,100,0,5);
2154	<	(allsamples.collection)[allsamples.FindSample("Data")[0]].events->Draw("sumJetPt[1]/pt:pt>>niceresponseplotd",zptforresponsepresentation);
2154	>	vector<int> SampleIndices=allsamples.FindSample(FindKeyword);
2155	>	for(int iSample=0;iSample<SampleIndices.size();iSample++) {
2156	>	dout << " Response correction : Using sample " << (allsamples.collection)[SampleIndices[iSample]].filename << endl;
2157	>	(allsamples.collection)[SampleIndices[iSample]].events->Draw("sumJetPt[1]/pt:pt>>+niceresponseplotd",zptforresponsepresentation*cutWeight);
2158	>	}
2159	>
2160		niceresponseplotd->SetStats(0);
2161		niceresponseplotd->GetXaxis()->SetTitle("Z p_{T} [GeV]");
2162		niceresponseplotd->GetYaxis()->SetTitle("Response");
#	Line 1854 \| Line 2165 \| void find_correction_factors(string &jzb
2165		niceresponseplotd->Draw("COLZ");
2166		TProfile * profd = (TProfile*)niceresponseplotd->ProfileX();
2167		profd->SetMarkerSize(DataMarkerSize);
2168	<	profd->Fit("pol0","","same,e1",30,400);
2168	>	profd->Fit("pol0","","same,e1",100,400);
2169		DrawPrelim();
2170	<	TText* title = write_text(0.5,0.7,"Data");
2170	>	string stitle="Data";
2171	>	if(!Contains(FindKeyword,"Data")) stitle="MC";
2172	>	TText* title = write_text(0.5,0.7,stitle.c_str());
2173		title->SetTextAlign(12);
2174		title->Draw();
2175		TF1 datapol=(TF1)profd->GetFunction("pol0");
2176	<	float datacorrection=datapol->GetParameter(0);
2177	<	stringstream dataresstring;
2178	<	dataresstring<<"Response: "<<std::setprecision(2)<<100*datacorrection<<" %";
2179	<	TText* restitle = write_text(0.5,0.65,dataresstring.str());
2176	>	float correction=datapol->GetParameter(0);
2177	>	stringstream resstring;
2178	>	resstring<<"Response: "<<std::setprecision(2)<<100*correction<<" %";
2179	>	TText* restitle = write_text(0.5,0.65,resstring.str());
2180		restitle->SetTextAlign(12);
2181		restitle->SetTextSize(0.03);
2182		restitle->Draw();
2183	<	CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_Data");
2183	>	CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_New_"+SaveAs);
2184	>	delete cancorr;
2185	>	delete niceresponseplotd;
2186	>	return correction;
2187	>	}
2188	>
2189	>	void find_correction_factors(string &jzbvardata,string &jzbvarmc) {
2190
2191	<	TH2F *niceresponseplotm = new TH2F("niceresponseplotm","",100,0,600,100,0,5);
2192	<	(allsamples.collection)[allsamples.FindSample("DY")[0]].events->Draw("sumJetPt[1]/pt:pt>>niceresponseplotm",zptforresponsepresentation);
2193	<	niceresponseplotm->SetStats(0);
2194	<	niceresponseplotm->GetXaxis()->SetTitle("Z p_{T} [GeV]");
2195	<	niceresponseplotm->GetYaxis()->SetTitle("Response");
2196	<	niceresponseplotm->GetXaxis()->CenterTitle();
2197	<	niceresponseplotm->GetYaxis()->CenterTitle();
2198	<	niceresponseplotm->Draw("COLZ");
2199	<	(allsamples.collection)[allsamples.FindSample("DY")[0]].events->Draw("sumJetPt[1]/pt:pt",zptforresponsepresentation,"PROF,same");
2200	<	TProfile * profm = (TProfile*)niceresponseplotm->ProfileX();
2201	<	profm->SetMarkerSize(DataMarkerSize);
2202	<	profm->Fit("pol0","","same,e1",30,400);
2203	<	DrawMCPrelim();
2204	<	title = write_text(0.5,0.7,"MC simulation");
2205	<	title->SetTextAlign(12);
2206	<	title->Draw();
2207	<	TF1 mcpol=(TF1)profm->GetFunction("pol0");
2208	<	float mccorrection=mcpol->GetParameter(0);
2209	<	stringstream mcresstring;
2210	<	mcresstring<<"Response: "<<std::setprecision(2)<<100*mccorrection<<" %";
1892	<	TText* mcrestitle = write_text(0.5,0.65,mcresstring.str());
1893	<	mcrestitle->SetTextAlign(12);
1894	<	mcrestitle->SetTextSize(0.03);
1895	<	mcrestitle->Draw();
1896	<	CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_MC");
2191	>	//Step 1 : Get results
2192	>	float datacorrection=find_one_correction_factor("Data","","Data");
2193	>	float mccorrection=find_one_correction_factor("DY","","MC");
2194	>
2195	>	float dataEEcorrection=find_one_correction_factor("Data","id1==0","Data_ee");
2196	>	float mcEEcorrection=find_one_correction_factor("DY","id1==0","MC_ee");
2197	>
2198	>	float dataMMcorrection=find_one_correction_factor("Data","id1==1","Data_mm");
2199	>	float mcMMcorrection=find_one_correction_factor("DY","id1==1","MC_mm");
2200	>
2201	>	cout << "Corrections : " << endl;
2202	>	cout << " Data : " << datacorrection << endl;
2203	>	cout << " ee (" << dataEEcorrection << ") , mm (" << dataMMcorrection << ")" << endl;
2204	>	cout << " MC : " << mccorrection << endl;
2205	>	cout << " ee (" << mcEEcorrection << ") , mm (" << mcMMcorrection << ")" << endl;
2206	>
2207	>	cout << " result from new one for data: " << 0.937097 << endl;
2208	>	cout << " result from old one for data: " << 0.937097 << endl;
2209	>	cout << " result from new one for MC: " << 0.96848 << endl;
2210	>	cout << " result from old one for MC: " << 0.963502 << endl;
2211
2212
2213	<	//Step 2: Getting the result
1900	<	// TCut zptcutforresponse("pt>30&&pt<300&&TMath::Abs(91.2-mll)<20&&id1==id2&&(ch1*ch2<0)");
2213	>	//Step 2: Processing the result and making it into something useful :-)
2214		stringstream jzbvardatas;
2215	<	if(datacorrection>1) jzbvardatas<<"(jzb[1]-"<<datacorrection-1<<"*pt)";
2216	<	if(datacorrection<1) jzbvardatas<<"(jzb[1]+"<<1-datacorrection<<"*pt)";
2215	>	jzbvardatas << "(";
2216	>
2217	>	if(dataEEcorrection>=1) jzbvardatas<<"((id1==0&&id1==id2)(jzb[1]-" << dataEEcorrection-1 << "pt))";
2218	>	if(dataEEcorrection<1) jzbvardatas<<"((id1==0&&id1==id2)(jzb[1]+" << 1-dataEEcorrection << "pt))";
2219	>
2220	>	if(dataMMcorrection>=1) jzbvardatas<<"+((id1==1&&id1==id2)(jzb[1]-" << dataMMcorrection-1 << "pt))";
2221	>	if(dataMMcorrection<1) jzbvardatas<<"+((id1==1&&id1==id2)(jzb[1]+" << 1-dataMMcorrection << "pt))";
2222	>
2223	>	float averagecorrection=(dataMMcorrection+dataEEcorrection)/2.0;
2224	>
2225	>	if(averagecorrection>1) jzbvardatas<<"+((id1!=id2)(jzb[1]-" << averagecorrection-1 << "pt))";
2226	>	if(averagecorrection<1) jzbvardatas<<"+((id1!=id2)(jzb[1]-" << 1-averagecorrection << "pt))";
2227	>
2228	>	jzbvardatas << ")";
2229		jzbvardata=jzbvardatas.str();
2230	+
2231		stringstream jzbvarmcs;
2232	<	if(mccorrection>1) jzbvarmcs<<"(jzb[1]-"<<mccorrection-1<<"*pt)";
2233	<	if(mccorrection<1) jzbvarmcs<<"(jzb[1]+"<<1-mccorrection<<"*pt)";
2232	>	jzbvarmcs << "(";
2233	>
2234	>	if(mcEEcorrection>=1) jzbvarmcs<<"((id1==0&&id1==id2)(jzb[1]-" << mcEEcorrection-1 << "pt))";
2235	>	if(mcEEcorrection<1) jzbvarmcs<<"((id1==0&&id1==id2)(jzb[1]+" << 1-mcEEcorrection << "pt))";
2236	>
2237	>	if(mcMMcorrection>=1) jzbvarmcs<<"+((id1==1&&id1==id2)(jzb[1]-" << mcMMcorrection-1 << "pt))";
2238	>	if(mcMMcorrection<1) jzbvarmcs<<"+((id1==1&&id1==id2)(jzb[1]+" << 1-mcMMcorrection << "pt))";
2239	>
2240	>	float averagemccorrection=(mcMMcorrection+mcEEcorrection)/2.0;
2241	>
2242	>	if(averagemccorrection>1) jzbvarmcs<<"+((id1!=id2)(jzb[1]-" << averagemccorrection-1 << "pt))";
2243	>	if(averagemccorrection<1) jzbvarmcs<<"+((id1!=id2)(jzb[1]-" << 1-averagemccorrection << "pt))";
2244	>
2245	>	jzbvarmcs << ")";
2246		jzbvarmc=jzbvarmcs.str();
2247	+
2248		dout << "JZB Z pt correction summary : " << endl;
2249		dout << " Data: The response is " << datacorrection << " --> jzb variable is now : " << jzbvardata << endl;
2250		dout << " MC : The response is " << mccorrection << " --> jzb variable is now : " << jzbvarmc << endl;
2251	+
2252		}
2253
2254		void pick_up_events(string cut) {
#	Line 1916 \| Line 2256 \| void pick_up_events(string cut) {
2256		allsamples.PickUpEvents(cut);
2257		}
2258
2259	<	void save_template(string mcjzb, string datajzb,vector<float> jzb_cuts,float MCPeakError) {
2259	>	void save_template(string mcjzb, string datajzb,vector<float> jzb_cuts,float MCPeakError,float DataPeakError, vector<float> jzb_shape_limit_bins) {
2260		dout << "Saving configuration template!" << endl;
2261		ofstream configfile;
2262		configfile.open("../DistributedModelCalculations/last_configuration.C");
#	Line 1936 \| Line 2276 \| void save_template(string mcjzb, string
2276		configfile<<"string datajzb=\"datajzb_ERROR\";\n";
2277		configfile<<"string mcjzb=\"mcjzb_ERROR\";\n";
2278		configfile<<"vector<float>jzb_cuts;\n";
2279	+	configfile<<"vector<float>jzb_shape_limit_bins;\n";
2280		configfile<<"float MCPeakError=-999;\n";
2281	+	configfile<<"float DataPeakError=-999;\n";
2282		configfile<<"}\n\n";
2283
2284		configfile<<"void read_config() {\n";
2285		configfile<<"datajzb=\""<<datajzb<<"\";\n";
2286		configfile<<"mcjzb=\""<<mcjzb<<"\";\n\n";
2287	<	configfile<<"\n\nMCPeakError="<<MCPeakError<<";\n\n";
2288	<	for(int i=0;i<jzb_cuts.size();i++) configfile<<"jzb_cuts.push_back("<<jzb_cuts[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2287	>	configfile<<"\n\nMCPeakError="<<MCPeakError<<";\n";
2288	>	configfile<<"DataPeakError="<<DataPeakError<<";\n\n";
2289	>	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";
2290	>	configfile<<"\n\n";
2291	>	for(int i=0;i<(int)Nobs.size();i++) configfile<<"Nobs.push_back("<<Nobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2292	>	for(int i=0;i<(int)Npred.size();i++) configfile<<"Npred.push_back("<<Npred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2293	>	for(int i=0;i<(int)Nprederr.size();i++) configfile<<"Nprederr.push_back("<<Nprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2294		configfile<<"\n\n";
2295	<	for(int i=0;i<Nobs.size();i++) configfile<<"Nobs.push_back("<<Nobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2296	<	for(int i=0;i<Npred.size();i++) configfile<<"Npred.push_back("<<Npred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2297	<	for(int i=0;i<Nprederr.size();i++) configfile<<"Nprederr.push_back("<<Nprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2295	>	for(int i=0;i<(int)flippedNobs.size();i++) configfile<<"flippedNobs.push_back("<<flippedNobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2296	>	for(int i=0;i<(int)flippedNpred.size();i++) configfile<<"flippedNpred.push_back("<<flippedNpred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2297	>	for(int i=0;i<(int)flippedNprederr.size();i++) configfile<<"flippedNprederr.push_back("<<flippedNprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2298	>	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";
2299		configfile<<"\n\n";
1952	–	for(int i=0;i<flippedNobs.size();i++) configfile<<"flippedNobs.push_back("<<flippedNobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
1953	–	for(int i=0;i<flippedNpred.size();i++) configfile<<"flippedNpred.push_back("<<flippedNpred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
1954	–	for(int i=0;i<flippedNprederr.size();i++) configfile<<"flippedNprederr.push_back("<<flippedNprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2300		configfile<<"\n\n";
2301		configfile<<"luminosity="<<luminosity<<";\n";
2302		configfile<<"RestrictToMassPeak="<<RestrictToMassPeak<<";//defines the type of analysis we're running\n";
#	Line 1977 \| Line 2322 \| *void draw_all_ttbar_histos(TCanvas can,**
2322		float max=histos[0]->GetMaximum();
2323		if(manualmin>=0) min=manualmin;
2324		else {
2325	<	for(int i=1;i<histos.size();i++) {
2325	>	for(int i=1;i<(int)histos.size();i++) {
2326		float curmin=get_nonzero_minimum(histos[i]);
2327		float curmax=histos[i]->GetMaximum();
2328		if(curmin<min) min=curmin;
#	Line 1988 \| Line 2333 \| *void draw_all_ttbar_histos(TCanvas can,**
2333		histos[0]->Draw(drawoption.c_str());
2334		stringstream drawopt;
2335		drawopt << drawoption << ",same";
2336	<	for(int i=1;i<histos.size();i++) {
2336	>	for(int i=1;i<(int)histos.size();i++) {
2337		histos[i]->Draw(drawopt.str().c_str());
2338		}
2339		}
#	Line 1997 \| Line 2342 \| void ttbar_sidebands_comparison(string m
2342		//in the case of the on peak analysis, we compare the 3 control regions to the real value
2343		//in the case of the OFF peak analysis, we compare our control region to the real value
2344		TCut weightbackup=cutWeight;
2345	<	cutWeight="1.0";
2345	>	// cutWeight="1.0";
2346		float simulatedlumi = luminosity; //in pb please - adjust to your likings
2347
2348
#	Line 2055 \| Line 2400 \| void ttbar_sidebands_comparison(string m
2400		leg->Draw("same");
2401		DrawMCPrelim(simulatedlumi);
2402		CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_shape_comparison");
2058	–
2403		TH1F TZemcopy = (TH1F)TZem->Clone("TZemcopy");
2404		TH1F TZeemmcopy = (TH1F)TZeemm->Clone("TZeemmcopy");
2405	<	TH1F TSeemmcopy = (TH1F)TSeemm->Clone("TSeemmcopy");
2406	<	TH1F TSemcopy = (TH1F)TSem->Clone("TSemcopy");
2405	>	TH1F *TSeemmcopy;
2406	>	TH1F *TSemcopy;
2407	>	if(PlottingSetup::RestrictToMassPeak) {
2408	>	TSeemmcopy = (TH1F*)TSeemm->Clone("TSeemmcopy");
2409	>	TSemcopy = (TH1F*)TSem->Clone("TSemcopy");
2410	>	}
2411
2412		TZem->Divide(TZeemm);
2413		TZem->SetMarkerStyle(21);
#	Line 2081 \| Line 2429 \| void ttbar_sidebands_comparison(string m
2429
2430		float linepos=0.25;
2431		if(PlottingSetup::RestrictToMassPeak) linepos=0.25;
2432	+	if(!PlottingSetup::RestrictToMassPeak) linepos=0.1; //sys uncertainty for iJZB
2433		TLine *top = new TLine(binning[0],1.0+linepos,binning[binning.size()-1],1.0+linepos);
2434		TLine *center = new TLine(binning[0],1.0,binning[binning.size()-1],1.0);
2435		TLine *bottom = new TLine(binning[0],1.0-linepos,binning[binning.size()-1],1.0-linepos);
2436
2437	+	/*write_warning(__FUNCTION__,"These two lines are to be removed!");
2438	+	TLine *topalt = new TLine(binning[0],1.0+0.1,binning[binning.size()-1],1.0+0.1);
2439	+	TLine *bottomalt = new TLine(binning[0],1.0-0.1,binning[binning.size()-1],1.0-0.1);
2440	+	topalt->SetLineColor(kRed);topalt->SetLineStyle(3);
2441	+	bottomalt->SetLineColor(kRed);bottomalt->SetLineStyle(3);
2442	+	topalt->Draw("same");bottomalt->Draw("same");*/
2443	+
2444	+
2445		top->SetLineColor(kBlue);top->SetLineStyle(2);
2446		bottom->SetLineColor(kBlue);bottom->SetLineStyle(2);
2447		center->SetLineColor(kBlue);
#	Line 2109 \| Line 2466 \| void ttbar_sidebands_comparison(string m
2466		CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_shape_comparison_ratio");
2467
2468
2112	–
2469		///-------------- second part: only look at the quantity we actually care about!
2470		TH1F leftsfzp = (TH1F)nTZeemm->Clone("leftsfzp");
2471		TH1F rightsfzp = (TH1F)TZeemmcopy->Clone("rightsfzp");
#	Line 2236 \| Line 2592 \| void ttbar_sidebands_comparison(string m
2592		}
2593
2594
2595	<	void zjets_prediction_comparison() {
2595	>	void zjets_prediction_comparison(string mcjzbWithPU) {
2596	>	TCanvas *zcan = new TCanvas("zcan","zcan");
2597	>	zcan->SetLogy(1);
2598	>	TCut weightbackup=cutWeight;
2599	>
2600	>	/*
2601		// Do it without PU re-weighting
2602		float MCPeakNoPU=0,MCPeakErrorNoPU=0,DataPeakNoPU=0,DataPeakErrorNoPU=0,MCSigma=0,DataSigma=0;
2603		stringstream resultsNoPU;
2604
2605		stringstream mcjzbnoPU;
2606	<	find_peaks(MCPeakNoPU,MCPeakErrorNoPU, DataPeakNoPU, DataPeakErrorNoPU,MCSigma,DataSigma,resultsNoPU,false);
2606	>	find_peaks(MCPeakNoPU,MCPeakErrorNoPU, DataPeakNoPU, DataPeakErrorNoPU,MCSigma,DataSigma,resultsNoPU,true);
2607		if(MCPeakNoPU>0) mcjzbnoPU<<"("<<jzbvariablemc<<"-"<<TMath::Abs(MCPeakNoPU)<<")";
2608		else mcjzbnoPU<<"("<<jzbvariablemc<<"+"<<TMath::Abs(MCPeakNoPU)<<")";
2609
2610		string mcjzb = mcjzbnoPU.str();
2611		dout << "The peak corrected JZB expression for MC without pileup is : " << mcjzb << endl;
2612
2252	–	TCut weightbackup=cutWeight;
2613		cutWeight="1.0";
2614	<	float sbg_min=0.;
2615	<	float sbg_max=100.;
2616	<	int sbg_nbins=5;
2614	>	*/
2615	>	string mcjzb = mcjzbWithPU; // this is with PURW, if you want without it you have to uncomment the part above (and comment out this line)
2616	>
2617	>	vector<float> binning;
2618	>	binning.push_back(0);
2619	>	binning.push_back(20);
2620	>	binning.push_back(40);
2621	>	binning.push_back(60);
2622	>	binning.push_back(80);
2623	>	binning.push_back(100);
2624	>	// float sbg_min=0.;
2625	>	// float sbg_max=100.;
2626	>	// int sbg_nbins=5;
2627		float simulatedlumi = luminosity;//in pb please - adjust to your likings
2628
2629		TCut kPos((mcjzb+">0").c_str());
2630		TCut kNeg((mcjzb+"<0").c_str());
2631		string var( "abs("+mcjzb+")" );
2632
2633	<	TCut kcut(cutmass&&cutOSSF&&"pfJetGoodNum>2");
2634	<	TH1F *hJZBpos = systsamples.Draw("hJZBpos",var,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",
2635	<	kcut&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
2266	<	TH1F *hJZBneg = systsamples.Draw("hJZBneg",var,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",
2267	<	kcut&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
2633	>	TCut kcut(cutmass&&cutOSSF&&cutnJets);
2634	>	TH1F *hJZBpos = systsamples.Draw("hJZBpos",var,binning, "JZB [GeV]", "events",kcut&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
2635	>	TH1F *hJZBneg = systsamples.Draw("hJZBneg",var,binning, "JZB [GeV]", "events",kcut&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
2636		hJZBpos->SetLineColor(kBlack);
2637		hJZBneg->SetLineColor(kRed);
2638
2639	<	Int_t nbins = 5;
2272	<	Float_t xmax = 100.;
2273	<
2274	<
2275	<	TCanvas *zcan = new TCanvas("zcan","zcan");
2276	<	zcan->SetLogy(1);
2277	<
2639	>	hJZBpos->SetMinimum(1.0);
2640		hJZBpos->Draw("e1");
2641		hJZBneg->Draw("same,hist");
2642		hJZBpos->Draw("same,e1"); // So it's on top...
#	Line 2294 \| Line 2656 \| void zjets_prediction_comparison() {
2656		hratio->GetYaxis()->SetTitle("Observed/Predicted");
2657		hratio->Draw("e1");
2658
2659	<	TLine *top = new TLine(sbg_min,1.25,sbg_max,1.25);
2660	<	TLine *center = new TLine(sbg_min,1.0,sbg_max,1.0);
2661	<	TLine *bottom = new TLine(sbg_min,0.75,sbg_max,0.75);
2659	>	TLine *top = new TLine(binning[0],1.25,binning[binning.size()-1],1.25);
2660	>	TLine *center = new TLine(binning[0],1.0,binning[binning.size()-1],1.0);
2661	>	TLine *bottom = new TLine(binning[0],0.75,binning[binning.size()-1],0.75);
2662
2663
2664		top->SetLineColor(kBlue);top->SetLineStyle(2);
#	Line 2338 \| Line 2700 \| void sideband_assessment(string datajzb,
2700		tout << "\\begin{tabular}{l\|cc}" << endl;
2701		tout << "\\hline" << endl;
2702		tout << "& {\\OFZP} & {\\OFSB} \\\\\\hline" << endl;
2703	<	tout << "\\#(events) & "<<OFSB<<" & "<<OFZP<<"\\\\ \\hline" << endl;
2703	>	tout << "\\#(events) & "<<OFZP<<" & "<<OFSB<<"\\\\ \\hline" << endl;
2704		tout << "\\end{tabular}" << endl;
2705		tout << "\\end{center}" << endl;
2706		tout << "\\end{table}" << endl;
#	Line 2356 \| Line 2718 \| void make_table(samplecollection &coll,
2718
2719		TCanvas *cannie = new TCanvas("cannie","cannie");
2720
2721	<	for(int icut=0;icut<jzb_cuts.size();icut++) {
2721	>	for(int icut=0;icut<(int)jzb_cuts.size();icut++) {
2722		float currcut=jzb_cuts[icut];
2723		int nbins=1;float low=currcut;
2724		vector<int> mysample;
#	Line 2415 \| Line 2777 \| void make_table(samplecollection &coll,
2777		//prediction part
2778		if(is_data) cout << "Data prediction & ";
2779		if(subselection!="none") cout << subselection << " prediction &";
2780	<	for(int ij=0;ij<jzb_cuts.size();ij++) cout << jzbcutprediction[ij] << " vs " << metcutprediction[ij] << " & ";
2780	>	for(int ij=0;ij<(int)jzb_cuts.size();ij++) cout << jzbcutprediction[ij] << " vs " << metcutprediction[ij] << " & ";
2781
2782		cout << endl;
2783		//observation part
2784		if(is_data) cout << "Data observation & ";
2785		if(subselection!="none") cout << subselection << " observation &";
2786	<	for(int ij=0;ij<jzb_cuts.size();ij++) cout << jzbcutobservation[ij] << " vs " << metcutobservation[ij] << " & ";
2786	>	for(int ij=0;ij<(int)jzb_cuts.size();ij++) cout << jzbcutobservation[ij] << " vs " << metcutobservation[ij] << " & ";
2787		cout << endl;
2788		cout << "_________________________________________________________________" << endl;
2789		delete cannie;
#	Line 2456 \| Line 2818 \| *void JZBSelEff(string mcjzb, TTree even**
2818		int nbins = sizeof(xbins)/sizeof(float)-1;
2819		int markers[] = { 20, 26, 21, 24, 22, 25, 28 };
2820
2821	<	TH1F* heff = new TH1F("heff", "JZB eff ; generator-level JZB [GeV]; efficiency",nbins,xbins);
2822	<	TH1F* hgen = new TH1F("hgen", "JZB gen ; generator-level JZB [GeV]; efficiency",nbins,xbins);
2823	<	TH1F* hreco = new TH1F("hreco","JZB reco ; generator-level JZB [GeV]; efficiency",nbins,xbins);
2821	>
2822	>	TH1F* heff = new TH1F("heff", "JZB eff ; generator JZB [GeV]; efficiency",nbins,xbins);
2823	>	TH1F* hgen = new TH1F("hgen", "JZB gen ; generator JZB [GeV]; efficiency",nbins,xbins);
2824	>	TH1F* hreco = new TH1F("hreco","JZB reco ; generator JZB [GeV]; efficiency",nbins,xbins);
2825
2826		TCut kgen(genMassCut&&"genZPt>0&&genNjets>2&&abs(genMID)==23"&&cutOSSF);
2827		TCut kreco(cutmass);
#	Line 2474 \| Line 2837 \| *void JZBSelEff(string mcjzb, TTree even**
2837		TCanvas *can = new TCanvas("can","Canvas for JZB Efficiency",600,600);
2838		can->SetGridx(1);
2839		can->SetGridy(1);
2840	+	can->SetLeftMargin(0.16);
2841	+	can->SetRightMargin(0.05);
2842		TLegend *leg = make_legend("",0.6,0.2,false,0.89,0.5);
2843	+	leg->SetBorderSize(1);
2844	+	leg->SetLineColor(kBlack);
2845	+	leg->SetTextFont(62);
2846
2847	<
2480	<
2481	<	for ( int icut=0; icut<jzb_bins.size(); ++icut ) {
2847	>	for ( int icut=0; icut<(int)jzb_bins.size(); ++icut ) {
2848
2849		ostringstream selection;
2850		selection << mcjzb << ">" << jzb_bins[icut];
#	Line 2494 \| Line 2860 \| *void JZBSelEff(string mcjzb, TTree even**
2860		}
2861
2862		heff->GetXaxis()->SetRangeUser(min, max);
2863	+	// heff->GetXaxis()->SetLabelSize(0.05); // paper style. overruled.
2864	+	// heff->GetYaxis()->SetLabelSize(0.05); // paper style. overruled.
2865	+	// heff->GetXaxis()->SetTitleSize(0.06); // paper style. overruled.
2866	+	// heff->GetYaxis()->SetTitleSize(0.06); // paper style. overruled.
2867		heff->SetMarkerStyle(markers[icut]);
2868		heff->Fit("func","Q+","same");
2869
#	Line 2505 \| Line 2875 \| *void JZBSelEff(string mcjzb, TTree even**
2875
2876		// Store plot
2877		TH1F* h = (TH1F*)heff->Clone(hname);
2878	+	h->SetNdivisions(505,"X");
2879		if ( icut) h->Draw("same");
2880		else h->Draw();
2881		char htitle[256]; sprintf(htitle,"JZB > %3.0f GeV", jzb_bins[icut]);
#	Line 2525 \| Line 2896 \| *void JZBSelEff(string mcjzb, TTree even**
2896		// Calls the above function for each signal sample
2897		void plot_jzb_sel_eff(string mcjzb, samplecollection &signalsamples, vector<float> bins )
2898		{
2899	<	for (int isignal=0; isignal<signalsamples.collection.size();isignal++) {
2899	>	for (int isignal=0; isignal<(int)signalsamples.collection.size();isignal++) {
2900		dout << "JZB selection efficiency curve: " << std::endl;
2901		JZBSelEff(mcjzb,(signalsamples.collection)[isignal].events,(signalsamples.collection)[isignal].samplename,bins); // Only for some selected samples
2902		}
#	Line 2568 \| Line 2939 \| void qcd_plots(string datajzb, string mc
2939		TH1F *RcorrJZBSBeemm;
2940		TH1F *LcorrJZBSBeemm;
2941
2942	<	TH1F *RcorrJZBeemmNoS;
2942	>	// TH1F *RcorrJZBeemmNoS;
2943
2944		//these are for the ratio
2945		TH1F *JRcorrJZBeemm = qcdsamples.Draw("JRcorrJZBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
#	Line 2652 \| Line 3023 \| void qcd_plots(string datajzb, string mc
3023		//3rd last argument: do special bpred ratio, 2nd last argument: extended range!, last: y-axis title
3024		string ytitle("ratio");
3025		if ( use_data==1 ) ytitle = "data/pred";
3026	<	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,"QCD/Bpred",true,use_data!=1,ytitle);
3026	>	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,"QCD/Bpred",true,false,ytitle);
3027
3028		TH1F *allevents = qcdsamples.Draw("allevents","pfJetGoodNum",1,0,100, "internal code", "events", "" ,mc, luminosity);
3029		TH1F *ossf = qcdsamples.Draw("ossf","pfJetGoodNum",1,0,100, "internal code", "events", cutOSSF ,mc, luminosity);
#	Line 2699 \| Line 3070 \| void qcd_plots(string datajzb, string mc
3070		dout << " Observation increases by : " << RcorrJZBeemm->Integral() << endl;
3071
3072		dout << endl;
3073	<	for(int i=0;i<bins.size();i++) {
3073	>	for(int i=0;i<(int)bins.size();i++) {
3074		dout << " JZB > " << bins[i] << " : " << endl;
3075		dout << " Observation increases by : " << RcorrJZBeemm->Integral(RcorrJZBeemm->FindBin(bins[i]),RcorrJZBeemm->GetNbinsX()) << endl;
3076		if(PlottingSetup::RestrictToMassPeak) {
#	Line 2747 \| Line 3118 \| void check_ptsanity() {
3118		leg->SetY2(1.0);
3119
3120
3121	<	for(int isample=0;isample<allsamples.collection.size();isample++) {
3121	>	for(int isample=0;isample<(int)allsamples.collection.size();isample++) {
3122		string nowname=(allsamples.collection)[isample].filename;
3123		cout << "Drawing: " << nowname << " (sample " << isample+1 << " / " << allsamples.collection.size() << ")" << endl;
3124		individualpt1histos[isample] = allsamples.Draw(GetNumericHistoName(),"pt1",50,0,50, "p_{T,1}", "events",cutOSSF&&cutnJets,mc,luminosity,allsamples.FindSample(nowname));
#	Line 2771 \| Line 3142 \| void check_ptsanity() {
3142		ptsancan->cd(2);
3143		fpt2->Draw();
3144
3145	<	for(int isample=0;isample<allsamples.collection.size();isample++) {
3145	>	for(int isample=0;isample<(int)allsamples.collection.size();isample++) {
3146		ptsancan->cd(1);
3147		individualpt1histos[isample]->DrawNormalized("same,histo");
3148		ptsancan->cd(2);
#	Line 2784 \| Line 3155 \| void check_ptsanity() {
3155		delete ptsancan;
3156		}
3157
3158	+	void do_mlls_plot(string mcjzb) {
3159	+	cout << "At this point we'd plot the mll distribution" << endl;
3160	+	TCanvas *sigcan = new TCanvas("sigcan","sigcan");
3161	+	for(int isig=0;isig<(int)(signalsamples.collection).size();isig++) {
3162	+	if(!(signalsamples.collection)[isig].events) continue;
3163	+	string nowname=(signalsamples.collection)[isig].filename;
3164	+	TH1F *mll = signalsamples.Draw("mllhisto","mll",150,0,150, "m_{ll}", "events",cutOSSF&&cutnJets,mc,luminosity,signalsamples.FindSample(nowname));
3165	+	// TH1F *mll = signalsamples.Draw("mllhisto","mll",150,0,150, "m_{ll}", "events","",mc,luminosity,signalsamples.FindSample(nowname));
3166	+	mll->SetLineColor(TColor::GetColor("#04B404"));
3167	+	stringstream poscutS;
3168	+	poscutS << "((" << mcjzb <<")>50)";
3169	+	TCut poscut(poscutS.str().c_str());
3170	+	TH1F *mllP = signalsamples.Draw("mllhistoP","mll",150,0,150, "m_{ll}", "events",cutOSSF&&cutnJets&&poscut,mc,luminosity,signalsamples.FindSample(nowname));
3171	+	mllP->SetLineColor(TColor::GetColor("#0040FF"));
3172	+	mll->Draw("histo");
3173	+	mllP->Draw("histo,same");
3174	+	TLegend *leg = make_legend();
3175	+	leg->SetY1(0.8);
3176	+	leg->AddEntry(mll,(signalsamples.collection)[isig].samplename.c_str(),"L");
3177	+	leg->AddEntry(mllP,((signalsamples.collection)[isig].samplename+", JZB>50").c_str(),"L");
3178	+	leg->Draw();
3179	+	TLine *lin = new TLine(71.2,0,71.2,mll->GetMaximum());
3180	+	TLine *lin2 = new TLine(111.2,0,111.2,mll->GetMaximum());
3181	+	lin->Draw("same");
3182	+	lin2->Draw("same");
3183	+
3184	+	CompleteSave(sigcan,"MllShape/"+(signalsamples.collection)[isig].samplename);
3185	+	delete mll;
3186	+	delete mllP;
3187	+	}
3188	+	}
3189	+
3190	+	void met_vs_jzb_plots() {
3191	+
3192	+	TCanvas *canmetjzb = new TCanvas("canmet","MET vs JZB canvas");
3193	+	canmetjzb->SetRightMargin(0.16);
3194	+
3195	+	vector<string> findme;
3196	+	findme.push_back("DY");
3197	+	findme.push_back("TTJets");
3198	+	findme.push_back("LM");
3199	+
3200	+	for(int ifind=0;ifind<(int)findme.size();ifind++) {
3201	+	vector<int> selsamples = allsamples.FindSample(findme[ifind]);
3202	+	TH2F *metvsjzb = new TH2F("metvsjzb","metvsjzb",200,0,100,400,-100,100);
3203	+	for(int isel=0;isel<(int)selsamples.size();isel++) {
3204	+	cout << "Producing MET:JZB plot ... working on sample: " << allsamples.collection[selsamples[isel]].filename << endl;
3205	+	allsamples.collection[selsamples[isel]].events->Draw("jzb[1]:met[4]>>+metvsjzb",cutmass&&cutOSSF);
3206	+	}
3207	+	metvsjzb->Scale(allsamples.collection[selsamples[0]].weight);
3208	+	metvsjzb->SetStats(0);
3209	+	metvsjzb->GetXaxis()->SetTitle("MET (GeV)");
3210	+	metvsjzb->GetYaxis()->SetTitle("JZB (GeV)");
3211	+	metvsjzb->GetXaxis()->CenterTitle();
3212	+	metvsjzb->GetYaxis()->CenterTitle();
3213	+	metvsjzb->Draw("COLZ");
3214	+	TText* title = write_text(0.5,0.95,allsamples.collection[selsamples[0]].samplename);
3215	+	title->SetTextAlign(12);
3216	+	title->Draw();
3217	+	CompleteSave(canmetjzb,(string)"METvsJZBplots/"+findme[ifind]);
3218	+	}
3219	+	}
3220	+
3221	+
3222		void test() {
3223
3224		TCanvas *testcanv = new TCanvas("testcanv","testcanv");

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Comparing UserCode/cbrown/Development/Plotting/Modules/Plotting_Functions.C (file contents): Revision 1.5 by buchmann, Wed Mar 7 16:58:42 2012 UTC vs. Revision 1.29 by buchmann, Mon Jun 18 16:26:07 2012 UTC

Diff Legend

Comparing UserCode/cbrown/Development/Plotting/Modules/Plotting_Functions.C (file contents):
Revision 1.5 by buchmann, Wed Mar 7 16:58:42 2012 UTC vs.
Revision 1.29 by buchmann, Mon Jun 18 16:26:07 2012 UTC