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

Comparing UserCode/cbrown/Development/Plotting/Modules/Plotting_Functions.C (file contents):
Revision 1.10 by buchmann, Fri Mar 30 07:05:45 2012 UTC vs.
Revision 1.30 by buchmann, Tue Jun 19 16:13:35 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 &DataSigma, 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,method,saveas);
56	>	DataPeak=find_peak(rawJZBeemmData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,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,method,saveas);
66	>	DataPeak=find_peak(reducedData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,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 << " +/- ?? (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;
80	>	delete rawJZBeemmData;
81	>	delete rawJZBeemmMC;
82	>	delete rawJZBemData;
83	>	delete rawJZBemMC;
84		delete tempcan;
85		}
86
87	+	void find_peaks(float &MCPeak,float &MCPeakError, float &DataPeak, float &DataPeakError, stringstream &result, bool doPUreweighting, stringstream &datajzb, stringstream &mcjzb)
88	+	{
89	+	float mcpeak, datapeak;
90	+	float mcpeakerr, datapeakerr;
91	+
92	+	float mceepeak,mcmmpeak;
93	+	float mceepeakerr,mcmmpeakerr;
94	+
95	+	float datammpeak,dataeepeak;
96	+	float datammpeakerr,dataeepeakerr;
97	+
98	+	float mcSigma, dataSigma;
99	+
100	+	dout << "Finding global peak : " << endl;
101	+	find_one_peak_combination(TCut(""),mcpeak,mcpeakerr, datapeak,datapeakerr,mcSigma, dataSigma,result,doPUreweighting,"");
102	+
103	+	dout << "Finding peak for electrons : " << endl;
104	+	find_one_peak_combination(TCut("id1==0"),mceepeak,mceepeakerr, dataeepeak,dataeepeakerr,mcSigma, dataSigma,result,doPUreweighting,"_ele");
105	+	dout << "Finding peak for muons : " << endl;
106	+	find_one_peak_combination(TCut("id1==1"),mcmmpeak,mcmmpeakerr, datammpeak,datammpeakerr,mcSigma, dataSigma,result,doPUreweighting,"_mu");
107	+
108	+	datajzb << "(" << jzbvariabledata;
109	+	mcjzb << "(" << jzbvariablemc;
110	+
111	+	if(dataeepeak>0) datajzb << "- (id1==id2)(id1==0)" << TMath::Abs(dataeepeak) << " ";
112	+	else datajzb << "+ (id1==id2)(id1==0)" << TMath::Abs(dataeepeak) << " ";
113	+
114	+	if(datammpeak>0) datajzb << "- (id1==id2)(id1==1)" << TMath::Abs(datammpeak) << " ";
115	+	else datajzb << "+ (id1==id2)(id1==1)" << TMath::Abs(datammpeak) << " ";
116	+
117	+	if(datapeak>0) datajzb << "- (id1!=id2)*" << TMath::Abs(datapeak) << " ";
118	+	else datajzb << "+ (id1!=id2)*" << TMath::Abs(datapeak) << " ";
119	+
120	+	datajzb << ")";
121	+
122	+	if(mceepeak>0) mcjzb << "- (id1==id2)(id1==0)" << TMath::Abs(mceepeak) << " ";
123	+	else mcjzb << "+ (id1==id2)(id1==0)" << TMath::Abs(mceepeak) << " ";
124	+
125	+	if(mcmmpeak>0) mcjzb << "- (id1==id2)(id1==1)" << TMath::Abs(mcmmpeak) << " ";
126	+	else mcjzb << "+ (id1==id2)(id1==1)" << TMath::Abs(mcmmpeak) << " ";
127	+
128	+	if(mcpeak>0) mcjzb << "- (id1!=id2)*" << TMath::Abs(mcpeak) << " ";
129	+	else mcjzb << "+ (id1!=id2)*" << TMath::Abs(mcpeak) << " ";
130	+
131	+	mcjzb << ")";
132	+
133	+	}
134	+
135	+	void make_special_obs_pred_mll_plot(string mcjzb, float jzbthreshold) {
136	+	float min=70.0;
137	+	float max=115.0;
138	+	if(!PlottingSetup::RestrictToMassPeak) {
139	+	min=10;
140	+	max=150;
141	+	}
142	+	int nbins=int((max-min)/5);
143	+
144	+	TCanvas *ckin = new TCanvas("ckin","Kinematic Plots (in the making)",600,600);
145	+
146	+	stringstream largerzeroS;
147	+	largerzeroS << "(" << mcjzb << ">" << jzbthreshold << ")";
148	+	TCut largerzero(largerzeroS.str().c_str());
149	+
150	+	stringstream smallerzeroS;
151	+	smallerzeroS << "(" << mcjzb << "<-" << jzbthreshold << ")";
152	+	TCut smallerzero(smallerzeroS.str().c_str());
153	+
154	+	TH1F *RcorrJZBeemm = allsamples.Draw("RcorrJZBeemm", "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSSF&&cutnJets,data,luminosity);
155	+	THStack mcRcorrJZBeemm = allsamples.DrawStack("mcRcorrJZBeemm","mll",nbins,min,max, "m_{ll} [GeV}", "events", cutmass&&cutOSSF&&cutnJets,mc,luminosity);
156	+	TH1F *LcorrJZBeemm = allsamples.Draw("LcorrJZBeemm", "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSSF&&cutnJets,data,luminosity);
157	+	TH1F *RcorrJZBem = allsamples.Draw("RcorrJZBem", "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSOF&&cutnJets,data,luminosity);
158	+	TH1F *LcorrJZBem = allsamples.Draw("LcorrJZBem", "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSOF&&cutnJets,data,luminosity);
159	+
160	+	TH1F *RcorrJZBSBem;
161	+	TH1F *LcorrJZBSBem;
162	+	TH1F *RcorrJZBSBeemm;
163	+	TH1F *LcorrJZBSBeemm;
164	+
165	+	// TH1F *RcorrJZBeemmNoS;
166	+
167	+	if(PlottingSetup::RestrictToMassPeak) {
168	+	RcorrJZBSBem = allsamples.Draw("RcorrJZBSBem", "mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,data, luminosity);
169	+	LcorrJZBSBem = allsamples.Draw("LcorrJZBSBem", "mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,data, luminosity);
170	+	RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm","mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,data, luminosity);
171	+	LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm","mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,data, luminosity);
172	+	}
173	+
174	+	TH1F Bpred = (TH1F)LcorrJZBeemm->Clone("Bpred");
175	+	if(PlottingSetup::RestrictToMassPeak) {
176	+	Bpred->Add(RcorrJZBem,1.0/3.);
177	+	Bpred->Add(LcorrJZBem,-1.0/3.);
178	+	Bpred->Add(RcorrJZBSBem,1.0/3.);
179	+	Bpred->Add(LcorrJZBSBem,-1.0/3.);
180	+	Bpred->Add(RcorrJZBSBeemm,1.0/3.);
181	+	Bpred->Add(LcorrJZBSBeemm,-1.0/3.);
182	+	} else {
183	+	Bpred->Add(RcorrJZBem,1.0);
184	+	Bpred->Add(LcorrJZBem,-1.0);
185	+	}
186	+
187	+	Bpred->SetLineColor(kRed);
188	+
189	+	RcorrJZBeemm->Draw();
190	+	mcRcorrJZBeemm.Draw("same");
191	+	Bpred->Draw("histo,same");
192	+	RcorrJZBeemm->Draw("same");
193	+
194	+	TLegend *leg = allsamples.allbglegend();
195	+	leg->SetX1(0.58);
196	+	leg->AddEntry(RcorrJZBeemm,"observed (data)","l");
197	+	leg->AddEntry(Bpred,"predicted (data)","l");
198	+	leg->Draw("same");
199	+
200	+	stringstream saveas;
201	+	saveas << "kin/Mll_After_Cut/Cut_At" << jzbthreshold;
202	+	CompleteSave(ckin,saveas.str());
203	+
204	+	delete RcorrJZBeemm;
205	+	delete LcorrJZBeemm;
206	+	delete RcorrJZBem;
207	+	delete LcorrJZBem;
208	+	if(PlottingSetup::RestrictToMassPeak) {
209	+	delete RcorrJZBSBeemm;
210	+	delete LcorrJZBSBeemm;
211	+	delete RcorrJZBSBem;
212	+	delete LcorrJZBSBem;
213	+	}
214	+	delete Bpred;
215	+	delete ckin;
216	+	}
217	+
218		void make_special_mll_plot(int nbins, float min, float max, bool logscale,string xlabel) {
219
220		TCanvas *ckin = new TCanvas("ckin","Kinematic Plots (in the making)",600,600);
#	Line 106 \| Line 249 \| void make_special_mll_plot(int nbins, fl
249		TIter next(bgleg->GetListOfPrimitives());
250		TObject* obj;
251		// Copy the nice bkgd legend skipping the "data"
252	<	while ( obj = next() )
252	>	while ( (obj = next()) )
253		if ( strcmp(((TLegendEntry*)obj)->GetObject()->GetName(),"datahistoOSSF") )
254		kinleg->GetListOfPrimitives()->Add(obj);
255
#	Line 125 \| Line 268 \| *void draw_ratio_plot(TH1 hdata, THStack**
268		TIter next(hmc.GetHists());
269		TObject* obj;
270		TH1* hratio = NULL;
271	<	while ( obj = next() ) {
271	>	while ( (obj = next()) ) {
272		if ( !hratio ) {
273		hratio = (TH1*)obj->Clone();
274		hratio->SetName("hratio");
#	Line 186 \| Line 329 \| void make_kin_plot(string variable, stri
329		TCut cut;
330		cut=cutmass&&cutOSSF&&cutnJets&&ibasiccut;
331		if(filename=="nJets") cut=cutmass&&cutOSSF&&ibasiccut;
332	+	if(filename=="nJets_osof") cut=cutmass&&cutOSOF&&ibasiccut;
333		if(filename=="nJets_nocuts_except_mll_ossf") cut=cutmass&&cutOSSF;
334		if(filename=="mll") {
335		cut=cutOSSF&&cutnJets&&ibasiccut;
#	Line 197 \| Line 341 \| void make_kin_plot(string variable, stri
341		draw_separation_lines=true;
342		}
343		if(filename=="mll_mm") cut=cutOSSF&&cutnJets&&ibasiccut&&"id1==1";
344	<	if(filename=="mll_aboveJZB100") cut=cutOSSF&&cutnJets&&ibasiccut;
344	>	if(Contains(filename,"mll_aboveJZB100")) cut=cutOSSF&&cutnJets&&ibasiccut;
345	>	if(Contains(filename,"mll_osof_aboveJZB")) cut=cutOSOF&&cutnJets&&ibasiccut;
346		if(filename=="mll_inclusive"\|\|filename=="mll_inclusive_highrange") cut=cutOSSF;
347		if(filename=="mll_inclusive_osof") cut=cutOSOF;
348		if(filename=="mll_inclusive_ee") cut=cutOSSF&&"id1==0";
#	Line 212 \| Line 357 \| void make_kin_plot(string variable, stri
357		THStack mcstack = allsamples.DrawStack("mcstack",variable,nbins,min,max, xlabel, "events",cut,mc,luminosity);
358		if(variable=="pfJetGoodPt[0]") datahisto->SetMaximum(10*datahisto->GetMaximum());
359		if(variable=="pt") datahisto->SetMaximum(10*datahisto->GetMaximum());
360	<	if(filename=="mll_inclusive") datahisto->SetMinimum(1);
360	>	if(filename=="mll_inclusive"\|\|filename=="mll_inclusive_mm"\|\|filename=="mll_inclusive_ee") datahisto->SetMinimum(1);
361		if(filename=="mll_osof") datahisto->SetMaximum(10*datahisto->GetMaximum());
362		if(filename=="mll_osof") datahisto->SetMinimum(9);
218	–
363		datahisto->SetMaximum(5.3*datahisto->GetMaximum());
364		datahisto->Draw("e1");
365		ckin->Update();
#	Line 295 \| Line 439 \| void make_kin_plot(string variable, stri
439		delete ckin;
440		}
441
298	–
442		void make_JES_plot() {
443
444		int nbins=10;
#	Line 347 \| Line 490 \| void do_kinematic_plots(string mcjzb, st
490		bool dolog=true;
491		bool nolog=false;
492		if(doPF) write_warning(__FUNCTION__,"Please use caution when trying to produce PF plots; not all versions of the JZB trees have these variables!");
493	<	float mll_low=40;
493	>	float mll_low=50;
494		float mll_hi=160;
495		if(!PlottingSetup::RestrictToMassPeak) {
496	<	mll_low=30;
497	<	mll_hi=180;
496	>	mll_low=20;
497	>	mll_hi=210;
498		}
499	+
500	+	make_kin_plot("met[4]","",40,0,200,dolog,"MET [GeV]","met",doPF,true);
501		make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll",doPF,true);
502		make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_osof",doPF,true,true);
503		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 505 \| void do_kinematic_plots(string mcjzb, st
505		make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive",doPF,true);
506		make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_ee",doPF,true);
507		make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_mm",doPF,true);
508	<	make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_osof",doPF,true);
508	>	make_kin_plot("mll","",(int)((mll_hi-mll_low))/2,mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_osof",doPF,true);
509		make_kin_plot("mll","",(int)((350-mll_low)),mll_low,350,dolog,"m_{ll} [GeV]","mll_inclusive_highrange",doPF);
510	<	make_kin_plot("jetpt[0]","",40,0,200,dolog,"leading jet p_{T} [GeV]","pfJetGoodPt_0",doPF);
511	<	make_kin_plot("jeteta[0]","",40,-5,5,nolog,"leading jet #eta","pfJetGoodEta_0",doPF);
510	>	make_kin_plot("numVtx","",(int)(30.5-(-0.5)),-0.5,30.5,nolog,"N(Vtx)","numVtx",doPF);
511	>	// make_kin_plot("jetpt[0]","",40,0,200,dolog,"leading jet p_{T} [GeV]","pfJetGoodPt_0",doPF);
512	>	// make_kin_plot("jeteta[0]","",40,-5,5,nolog,"leading jet #eta","pfJetGoodEta_0",doPF);
513		make_kin_plot("pt","",50,0,400,dolog,"Z p_{T} [GeV]","Zpt",doPF);
514		make_kin_plot("pt1","",50,0,100,nolog,"p_{T} [GeV]","pt1",doPF);
515		make_kin_plot("pt2","",50,0,100,nolog,"p_{T} [GeV]","pt2",doPF);
516		make_kin_plot("eta1","",40,-5,5,nolog,"#eta_{l}","eta",doPF);
517		make_kin_plot("jzb[1]","",100,-150,150,dolog,"JZB [GeV]","jzb_ossf",doPF);
518	<	make_kin_plot("pfJetGoodNum","",8,0.5,8.5,dolog,"nJets","nJets",doPF);
519	<	make_kin_plot("pfJetGoodNum","",8,0.5,8.5,dolog,"nJets","nJets_nocuts_except_mll_ossf",doPF);
518	>	make_kin_plot("pfJetGoodNum40","",9,-0.5,8.5,dolog,"nJets","nJets",doPF);
519	>	make_kin_plot("pfJetGoodNum40","",9,-0.5,8.5,dolog,"nJets","nJets_osof",doPF);
520	>	make_kin_plot("pfJetGoodNum40","",9,-0.5,8.5,dolog,"nJets","nJets_nocuts_except_mll_ossf",doPF);
521		if(!doPF) make_special_mll_plot((int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]");
522		stringstream jzbcut;
523		jzbcut << "((is_data&&("<<datajzb<<")>100)\|\|(!is_data&&("<<mcjzb<<")>100))";
524		make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB100",doPF,true);
525	+	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);
526	+	make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB100",doPF,true);
527	+	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);
528	+	stringstream jzbcut2;
529	+	jzbcut2 << "((is_data&&("<<datajzb<<")>150)\|\|(!is_data&&("<<mcjzb<<")>150))";
530	+	make_kin_plot("mll",jzbcut2.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB150",doPF,true);
531	+	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);
532	+	stringstream jzbcut3;
533	+	jzbcut3 << "((is_data&&("<<datajzb<<")>50)\|\|(!is_data&&("<<mcjzb<<")>50))";
534	+	make_kin_plot("mll",jzbcut3.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB50",doPF,true);
535	+	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);
536	+
537	+	make_special_obs_pred_mll_plot(mcjzb,0);
538	+	make_special_obs_pred_mll_plot(mcjzb,50);
539	+	make_special_obs_pred_mll_plot(mcjzb,100);
540	+	make_special_obs_pred_mll_plot(mcjzb,150);
541	+	make_special_obs_pred_mll_plot(mcjzb,200);
542	+	make_special_obs_pred_mll_plot(mcjzb,250);
543		}
544
545		void make_comp_plot( string var, string xlabel, string filename, float jzbcut, string mcjzb, string datajzb,
#	Line 446 \| Line 611 \| void region_comparison_plots(string mcjz
611
612
613		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- the arguments changed
614	<	for(int ijzb=0;ijzb<jzb_cuts.size();ijzb++) {
614	>	for(int ijzb=0;ijzb<(int)jzb_cuts.size();ijzb++) {
615		float jzbcut=jzb_cuts[ijzb]; // Comparison plots are done for this JZB cut
616		float mll_low=50;float mll_high=170;
617		if(!PlottingSetup::RestrictToMassPeak) {
#	Line 753 \| Line 918 \| if you want to start from scratch (witho
918		return return_functions;
919		}
920
921	<	void do_prediction_plot(string jzb, TCanvas *globalcanvas, float sigma, float high, int use_data, bool overlay_signal = false )
921	>	void do_prediction_plot(string jzb, TCanvas *globalcanvas, float high, int use_data, bool overlay_signal = false,string subdir="" )
922		{
923		switch_overunderflow(true);
924		bool is_data=false;
#	Line 765 \| Line 930 \| void do_prediction_plot(string jzb, TCan
930		float low=0;
931		float hi=500;
932
768	–	stringstream largerzeroS;
769	–	largerzeroS << "("<<jzb<<">0)";
770	–	TCut largerzero(largerzeroS.str().c_str());
771	–	stringstream smallerzeroS;
772	–	smallerzeroS << "("<<jzb<<"<0)";
773	–	TCut smallerzero(smallerzeroS.str().c_str());
774	–
933		TH1F *blankback = new TH1F("blankback","blankback",int(high/10),0,high);
934	<	TH1F *RcorrJZBeemm = allsamples.Draw("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
935	<	TH1F *LcorrJZBeemm = allsamples.Draw("LcorrJZBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
936	<	TH1F *RcorrJZBem = allsamples.Draw("RcorrJZBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
937	<	TH1F *LcorrJZBem = allsamples.Draw("LcorrJZBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
934	>	TH1F *RcorrJZBeemm = allsamples.Draw("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
935	>	TH1F *LcorrJZBeemm = allsamples.Draw("LcorrJZBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
936	>	TH1F *RcorrJZBem = allsamples.Draw("RcorrJZBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
937	>	TH1F *LcorrJZBem = allsamples.Draw("LcorrJZBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
938
939		blankback->GetXaxis()->SetTitle(RcorrJZBeemm->GetXaxis()->GetTitle());
940		blankback->GetYaxis()->SetTitle(RcorrJZBeemm->GetYaxis()->GetTitle());
#	Line 793 \| Line 951 \| void do_prediction_plot(string jzb, TCan
951
952		//these are for the ratio
953
954	<	TH1F *JRcorrJZBeemm = allsamples.Draw("JRcorrJZBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
955	<	TH1F *JLcorrJZBeemm = allsamples.Draw("JLcorrJZBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
956	<	TH1F *JRcorrJZBem = allsamples.Draw("JRcorrJZBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
957	<	TH1F *JLcorrJZBem = allsamples.Draw("JLcorrJZBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
954	>	TH1F *JRcorrJZBeemm = allsamples.Draw("JRcorrJZBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
955	>	TH1F *JLcorrJZBeemm = allsamples.Draw("JLcorrJZBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
956	>	TH1F *JRcorrJZBem = allsamples.Draw("JRcorrJZBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
957	>	TH1F *JLcorrJZBem = allsamples.Draw("JLcorrJZBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
958
959		TH1F *JRcorrJZBSBem;
960		TH1F *JLcorrJZBSBem;
961		TH1F *JRcorrJZBSBeemm;
962		TH1F *JLcorrJZBSBeemm;
963
964	<	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);
964	>	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);
965
966
967		if(PlottingSetup::RestrictToMassPeak) {
968	<	RcorrJZBSBem = allsamples.Draw("RcorrJZBSBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
969	<	LcorrJZBSBem = allsamples.Draw("LcorrJZBSBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
970	<	RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
971	<	LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
968	>	RcorrJZBSBem = allsamples.Draw("RcorrJZBSBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
969	>	LcorrJZBSBem = allsamples.Draw("LcorrJZBSBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
970	>	RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
971	>	LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
972
973		//these are for the ratio
974	<	JRcorrJZBSBem = allsamples.Draw("JRcorrJZBSBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
975	<	JLcorrJZBSBem = allsamples.Draw("JLcorrJZBSBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
976	<	JRcorrJZBSBeemm = allsamples.Draw("JRcorrJZBSBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
977	<	JLcorrJZBSBeemm = allsamples.Draw("JLcorrJZBSBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
974	>	JRcorrJZBSBem = allsamples.Draw("JRcorrJZBSBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
975	>	JLcorrJZBSBem = allsamples.Draw("JLcorrJZBSBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
976	>	JRcorrJZBSBeemm = allsamples.Draw("JRcorrJZBSBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
977	>	JLcorrJZBSBeemm = allsamples.Draw("JLcorrJZBSBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
978		}
979
980		TH1F *lm4RcorrJZBeemm;
981	<	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"));
981	>	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"));
982
983		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- prediction changed.
984
#	Line 829 \| Line 987 \| void do_prediction_plot(string jzb, TCan
987
988		TH1F Bpred = (TH1F)LcorrJZBeemm->Clone("Bpred");
989		TH1F JBpred = (TH1F)JLcorrJZBeemm->Clone("Bpred");
990	+
991	+	TH1F *BpredSys = new TH1F("Bpredsys","Bpredsys",PlottingSetup::global_ratio_binning.size()-1,&PlottingSetup::global_ratio_binning[0]);
992	+	ClearHisto(BpredSys);
993	+
994		if(PlottingSetup::RestrictToMassPeak) {
995		Bpred->Add(RcorrJZBem,1.0/3.);
996		Bpred->Add(LcorrJZBem,-1.0/3.);
#	Line 851 \| Line 1013 \| void do_prediction_plot(string jzb, TCan
1013		JBpred->Add(JLcorrJZBSBem,-1.0/3.);
1014		JBpred->Add(JRcorrJZBSBeemm,1.0/3.);
1015		JBpred->Add(JLcorrJZBSBeemm,-1.0/3.);
1016	+
1017	+	//Systematics:
1018	+	AddSquared(BpredSys,JLcorrJZBeemm,zjetsestimateuncertONPEAK*zjetsestimateuncertONPEAK);
1019	+	AddSquared(BpredSys,JRcorrJZBem,emuncertONPEAKemuncertONPEAK(1.0/9));
1020	+	AddSquared(BpredSys,JLcorrJZBem,emuncertONPEAKemuncertONPEAK(1.0/9));
1021	+	AddSquared(BpredSys,JRcorrJZBSBem,emsidebanduncertONPEAKemsidebanduncertONPEAK(1.0/9));
1022	+	AddSquared(BpredSys,JLcorrJZBSBem,emsidebanduncertONPEAKemsidebanduncertONPEAK(1.0/9));
1023	+	AddSquared(BpredSys,JRcorrJZBSBeemm,eemmsidebanduncertONPEAKeemmsidebanduncertONPEAK(1.0/9));
1024	+	AddSquared(BpredSys,JLcorrJZBSBeemm,eemmsidebanduncertONPEAKeemmsidebanduncertONPEAK(1.0/9));
1025		} else {
1026		Bpred->Add(RcorrJZBem,1.0);
1027		Bpred->Add(LcorrJZBem,-1.0);
#	Line 860 \| Line 1031 \| void do_prediction_plot(string jzb, TCan
1031		//these are for the ratio
1032		JBpred->Add(JRcorrJZBem,1.0);
1033		JBpred->Add(JLcorrJZBem,-1.0);
1034	+
1035	+	//Systematics
1036	+	AddSquared(BpredSys,JLcorrJZBeemm,zjetsestimateuncertOFFPEAK*zjetsestimateuncertOFFPEAK);
1037	+	AddSquared(BpredSys,JRcorrJZBem,emuncertOFFPEAK*emuncertOFFPEAK);
1038	+	AddSquared(BpredSys,JLcorrJZBem,emuncertOFFPEAK*emuncertOFFPEAK);
1039	+
1040		}
1041
1042	<
1042	>	SQRT(BpredSys);
1043	>	BpredSys->Divide(JBpred);
1044	>
1045
1046		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- prediction changed
1047		TH1F Tpred = (TH1F)RcorrJZBem->Clone("Bpred");
#	Line 907 \| Line 1086 \| void do_prediction_plot(string jzb, TCan
1086		blankback->Draw();
1087		if(use_data==1)
1088		{
1089	+	//Bpred->SetLineWidth(3); //paper style.overruled.
1090	+	//lm4RcorrJZBeemm->SetLineWidth(3); //paper style.overruled.
1091		analytical_function = do_extended_fit_to_plot(Bpred,Tpred,LcorrJZBeemm,LcorrJZBem,is_data);
1092		kinpad->cd();//necessary because the extended fit function creates its own canvas
1093		RcorrJZBeemm->Draw("e1x0,same");
1094
1095		Bpred->Draw("hist,same");
1096	<	analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1096	>	//analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1097		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1098		lm4RcorrJZBeemm->Draw("hist,same");
1099		legBpred->AddEntry(RcorrJZBeemm,"observed","p");
1100		legBpred->AddEntry(Bpred,"predicted","l");
1101	<	legBpred->AddEntry(analytical_function[1],"predicted fit","l");
1102	<	legBpred->AddEntry(analytical_function[2],"stat. uncert.","l");
1103	<	if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1101	>	// legBpred->AddEntry(analytical_function[1],"predicted fit","l");
1102	>	// legBpred->AddEntry(analytical_function[2],"stat. uncert.","l");
1103	>	legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1104		legBpred->Draw();
1105		DrawPrelim();
1106
#	Line 948 \| Line 1129 \| void do_prediction_plot(string jzb, TCan
1129		Bpred->Draw("hist,same");
1130		// analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1131		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1132	<	// TH1F lm4RcorrJZBeemmC = (TH1F)lm4RcorrJZBeemm->Clone("lm4RcorrJZBeemmC");
952	<	// lm4RcorrJZBeemmC->SetLineColor(kOrange+1);
953	<	lm4RcorrJZBeemm->SetLineColor(kOrange+1);
954	<	// lm4RcorrJZBeemmC->Draw("histo,same");
1132	>	// lm4RcorrJZBeemm->SetLineColor(kOrange+1);
1133		lm4RcorrJZBeemm->SetLineWidth(2);
1134	+	//lm4RcorrJZBeemm->SetLineWidth(2); // paper style. overruled.
1135		lm4RcorrJZBeemm->Draw("histo,same");
1136		DrawPrelim();
1137		TLegend *speciallegBpred = make_legend("",0.45,0.55);
1138	+	//TLegend *speciallegBpred = make_legend("",0.35,0.55); // paper style. overruled.
1139		speciallegBpred->AddEntry(RcorrJZBeemm,"Data","pl");
1140		speciallegBpred->AddEntry(Bpred,"Total background","l");
1141		speciallegBpred->AddEntry(jzbnegative,"JZB<0 (data)","f");
1142	<	speciallegBpred->AddEntry(sidebandsemu,"Sidebands/e#mu (data)","f");
1142	>	if(PlottingSetup::RestrictToMassPeak) speciallegBpred->AddEntry(sidebandsemu,"Sidebands/e#mu (data)","f");
1143	>	else speciallegBpred->AddEntry(sidebandsemu,"e#mu (data)","f");
1144		// speciallegBpred->AddEntry(lm4RcorrJZBeemmC,"LM4","l");
1145		speciallegBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1146		speciallegBpred->Draw();
1147	<	save_with_ratio(JRcorrJZBeemm,JBpred,predcomppad,"Bpred_Data_____PredictionComposition",true,use_data!=1,"data/pred");
1147	>	save_with_ratio(JRcorrJZBeemm,JBpred,predcomppad,subdir+"Bpred_Data_____PredictionComposition",true,true,"data/pred",BpredSys);
1148
1149		TCanvas *specialcanv = new TCanvas("specialcanv","specialcanv");
1150	<	THStack kostack = allsamples.DrawStack("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,!is_data, luminosity,use_signal);
1150	>	specialcanv->SetLogy(1);
1151	>	// THStack kostack = allsamples.DrawStack("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,!is_data, luminosity,use_signal);
1152		blankback->Draw();
1153	<	kostack.Draw("same");
1153	>	// kostack.Draw("same");
1154	>	predcomposition.Draw();
1155		Bpred->Draw("hist,same");
1156	<	analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1156	>	//analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1157		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1158		legBpred->Draw();
1159		DrawPrelim();
1160	<	CompleteSave(specialcanv,"Bpred_Data_____PredictionCompositioninMC");
1160	>	CompleteSave(specialcanv,subdir+"Bpred_Data_____PredictionCompositioninMC");
1161		Bpred->SetLineWidth((int)CurrentBpredLineWidth);
1162
1163		delete speciallegBpred;
#	Line 985 \| Line 1168 \| void do_prediction_plot(string jzb, TCan
1168		}
1169		if(use_data==0) {
1170		RcorrJZBeemm->Draw("e1x0,same");
1171	+	//Bpred->SetLineWidth(3); // paper style. overruled.
1172		Bpred->Draw("hist,same");
1173		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1174		legBpred->AddEntry(RcorrJZBeemm,"MC true","p");
1175	<	legBpred->AddEntry(Bpred,"MC predicted","l");
1175	>	legBpred->AddEntry(Bpred,"MC predicted","l");
1176		if(versok) legBpred->AddEntry((TObject*)0,"",""); // Just for alignment // causes seg fault on root v5.18
1177		if(versok) legBpred->AddEntry((TObject*)0,"",""); // causes seg fault on root v5.18
1178		if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
#	Line 999 \| Line 1183 \| void do_prediction_plot(string jzb, TCan
1183		}
1184		if(use_data==2) {
1185		RcorrJZBeemm->Draw("e1x0,same");
1186	+	//Bpred->SetLineWidth(3); // paper style. overruled.
1187		Bpred->Draw("hist,same");
1188		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1189		legBpred->AddEntry(RcorrJZBeemm,"MC true","p");
#	Line 1014 \| Line 1199 \| void do_prediction_plot(string jzb, TCan
1199		// CompleteSave(globalcanvas,"Bpred_MCwithS"); // done below in save_with_ratio
1200		}
1201		{
1202	+	//lm4RcorrJZBeemm->SetLineWidth(3); //paper style. overruled.
1203	+	//RcorrJZBeemmNoS->SetLineWidth(3); //paper style. overruled.
1204	+	//lm4RcorrJZBeemm->SetLineStyle(2); //paper style. overruled.
1205	+	//RcorrJZBeemmNoS->SetLineStyle(3); //paper style. overruled.
1206	+	//lm4RcorrJZBeemm->SetLineColor(kOrange+1); //paper style. overruled.
1207	+
1208		RcorrJZBeemmNoS->SetLineStyle(2);
1209		legBpred2->AddEntry(RcorrJZBeemmNoS,"MC B","l");
1210		legBpred2->AddEntry(lm4RcorrJZBeemm,"MC S","l");
#	Line 1033 \| Line 1224 \| void do_prediction_plot(string jzb, TCan
1224		string ytitle("ratio");
1225		if ( use_data==1 ) ytitle = "data/pred";
1226		//save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,Bpredsaveas,true,use_data!=1,ytitle);
1227	<	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,Bpredsaveas,true,false,ytitle);//not extending the y range anymore up to 4
1227	>	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,subdir+Bpredsaveas,true,true,ytitle,BpredSys);//not extending the y range anymore up to 4
1228
1229
1230		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1231	<	/// The part below is meaningless for the offpeak analysis (it's a comparison of the different estimates but there is but one estimate!)
1232	<	if(!PlottingSetup::RestrictToMassPeak) return;
1233	<	TH1F Bpredem = (TH1F)LcorrJZBeemm->Clone("Bpredem");
1234	<	Bpredem->Add(RcorrJZBem);
1235	<	Bpredem->Add(LcorrJZBem,-1);
1236	<	TH1F BpredSBem = (TH1F)LcorrJZBeemm->Clone("BpredSBem");
1237	<	BpredSBem->Add(RcorrJZBSBem);
1238	<	Bpred->Add(LcorrJZBSBem,-1);
1239	<	TH1F BpredSBeemm = (TH1F)LcorrJZBeemm->Clone("BpredSBeemm");
1240	<	BpredSBeemm->Add(RcorrJZBSBeemm);
1241	<	BpredSBeemm->Add(LcorrJZBSBeemm,-1.0);
1242	<	globalcanvas->cd();
1243	<	globalcanvas->SetLogy(1);
1244	<
1245	<	RcorrJZBeemm->SetMarkerStyle(20);
1246	<	RcorrJZBeemm->GetXaxis()->SetRangeUser(0,high);
1247	<	blankback->Draw();
1248	<	RcorrJZBeemm->Draw("e1x0,same");
1249	<	RcorrJZBeemm->SetMarkerSize(DataMarkerSize);
1250	<
1251	<	Bpredem->SetLineColor(kRed+1);
1252	<	Bpredem->SetStats(0);
1253	<	Bpredem->Draw("hist,same");
1254	<
1255	<	BpredSBem->SetLineColor(kGreen+2);//TColor::GetColor("#0B6138"));
1256	<	BpredSBem->SetLineStyle(2);
1257	<	BpredSBem->Draw("hist,same");
1258	<
1259	<	BpredSBeemm->SetLineColor(kBlue+1);
1260	<	BpredSBeemm->SetLineStyle(3);
1261	<	BpredSBeemm->Draw("hist,same");
1262	<	RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1263	<
1264	<	TLegend *legBpredc = make_legend("",0.6,0.55);
1265	<	if(use_data==1)
1266	<	{
1267	<	legBpredc->AddEntry(RcorrJZBeemm,"observed","p");
1268	<	legBpredc->AddEntry(Bpredem,"OFZP","l");
1269	<	legBpredc->AddEntry(BpredSBem,"OFSB","l");
1270	<	legBpredc->AddEntry(BpredSBeemm,"SFSB","l");
1271	<	legBpredc->Draw();
1272	<	CompleteSave(globalcanvas,"Bpred_Data_comparison");
1273	<	}
1274	<	if(use_data==0) {
1275	<	legBpredc->AddEntry(RcorrJZBeemm,"MC true","p");
1276	<	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1277	<	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1278	<	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1279	<	legBpredc->Draw();
1280	<	CompleteSave(globalcanvas,"Bpred_MC_comparison");
1281	<	}
1282	<	if(use_data==2) {
1283	<	legBpredc->AddEntry(RcorrJZBeemm,"MC true","p");
1284	<	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1285	<	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1286	<	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1287	<	if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1288	<	legBpredc->Draw();
1289	<	CompleteSave(globalcanvas,"Bpred_MCwithS_comparison");
1231	>	// The part below is meaningless for the offpeak analysis (it's a comparison of the different estimates but there is but one estimate!)
1232	>	if(PlottingSetup::RestrictToMassPeak) {
1233	>	TH1F Bpredem = (TH1F)LcorrJZBeemm->Clone("Bpredem");
1234	>	Bpredem->Add(RcorrJZBem);
1235	>	Bpredem->Add(LcorrJZBem,-1);
1236	>	TH1F BpredSBem = (TH1F)LcorrJZBeemm->Clone("BpredSBem");
1237	>	BpredSBem->Add(RcorrJZBSBem);
1238	>	Bpred->Add(LcorrJZBSBem,-1);
1239	>	TH1F BpredSBeemm = (TH1F)LcorrJZBeemm->Clone("BpredSBeemm");
1240	>	BpredSBeemm->Add(RcorrJZBSBeemm);
1241	>	BpredSBeemm->Add(LcorrJZBSBeemm,-1.0);
1242	>	globalcanvas->cd();
1243	>	globalcanvas->SetLogy(1);
1244	>
1245	>	RcorrJZBeemm->SetMarkerStyle(20);
1246	>	RcorrJZBeemm->GetXaxis()->SetRangeUser(0,high);
1247	>	blankback->Draw();
1248	>	RcorrJZBeemm->Draw("e1x0,same");
1249	>	RcorrJZBeemm->SetMarkerSize(DataMarkerSize);
1250	>
1251	>	Bpredem->SetLineColor(kRed+1);
1252	>	Bpredem->SetStats(0);
1253	>	Bpredem->Draw("hist,same");
1254	>
1255	>	BpredSBem->SetLineColor(kGreen+2);//TColor::GetColor("#0B6138"));
1256	>	BpredSBem->SetLineStyle(2);
1257	>	BpredSBem->Draw("hist,same");
1258	>
1259	>	BpredSBeemm->SetLineColor(kBlue+1);
1260	>	BpredSBeemm->SetLineStyle(3);
1261	>	BpredSBeemm->Draw("hist,same");
1262	>	RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1263	>
1264	>	TLegend *legBpredc = make_legend("",0.6,0.55);
1265	>	if(use_data==1)
1266	>	{
1267	>	legBpredc->AddEntry(RcorrJZBeemm,"observed","p");
1268	>	legBpredc->AddEntry(Bpredem,"OFZP","l");
1269	>	legBpredc->AddEntry(BpredSBem,"OFSB","l");
1270	>	legBpredc->AddEntry(BpredSBeemm,"SFSB","l");
1271	>	legBpredc->Draw();
1272	>	CompleteSave(globalcanvas,subdir+"Bpred_Data_comparison");
1273	>	}
1274	>	if(use_data==0) {
1275	>	legBpredc->AddEntry(RcorrJZBeemm,"MC true","p");
1276	>	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1277	>	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1278	>	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1279	>	legBpredc->Draw();
1280	>	CompleteSave(globalcanvas,subdir+"Bpred_MC_comparison");
1281	>	}
1282	>	if(use_data==2) {
1283	>	legBpredc->AddEntry(RcorrJZBeemm,"MC true","p");
1284	>	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1285	>	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1286	>	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1287	>	if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1288	>	legBpredc->Draw();
1289	>	CompleteSave(globalcanvas,subdir+"Bpred_MCwithS_comparison");
1290	>	}
1291		}
1292	+
1293		delete RcorrJZBeemm;
1294		delete LcorrJZBeemm;
1295		delete RcorrJZBem;
#	Line 1109 \| Line 1302 \| void do_prediction_plot(string jzb, TCan
1302
1303		delete blankback;
1304
1305	+	delete BpredSys;
1306		if(PlottingSetup::RestrictToMassPeak) {
1307		delete RcorrJZBSBem;
1308		delete LcorrJZBSBem;
#	Line 1126 \| Line 1320 \| void do_prediction_plot(string jzb, TCan
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 1478 \| 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 1493 \| 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 1501 \| 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 1515 \| 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);
1536	<	// flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1537	<	// if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB_coarsest",can,coarsest_binning);
1538	<	// 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 1590 \| 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 1853 \| 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;
1856	–	int electrons_only=0;
1857	–	int mu_only=1;
1858	–	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 1871 \| 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) {
1875	<	//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&&passtrig);
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 << " for " << FindKeyword << 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 1888 \| 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");
2184	<
2185	<	TH2F *niceresponseplotm = new TH2F("niceresponseplotm","",100,0,600,100,0,5);
2186	<	(allsamples.collection)[allsamples.FindSample("DY")[0]].events->Draw("sumJetPt[1]/pt:pt>>niceresponseplotm",zptforresponsepresentation);
2187	<	niceresponseplotm->SetStats(0);
2188	<	niceresponseplotm->GetXaxis()->SetTitle("Z p_{T} [GeV]");
2189	<	niceresponseplotm->GetYaxis()->SetTitle("Response");
1911	<	niceresponseplotm->GetXaxis()->CenterTitle();
1912	<	niceresponseplotm->GetYaxis()->CenterTitle();
1913	<	niceresponseplotm->Draw("COLZ");
1914	<	(allsamples.collection)[allsamples.FindSample("DY")[0]].events->Draw("sumJetPt[1]/pt:pt",zptforresponsepresentation,"PROF,same");
1915	<	TProfile * profm = (TProfile*)niceresponseplotm->ProfileX();
1916	<	profm->SetMarkerSize(DataMarkerSize);
1917	<	profm->Fit("pol0","","same,e1",30,400);
1918	<	DrawMCPrelim();
1919	<	title = write_text(0.5,0.7,"MC simulation");
1920	<	title->SetTextAlign(12);
1921	<	title->Draw();
1922	<	TF1 mcpol=(TF1)profm->GetFunction("pol0");
1923	<	float mccorrection=mcpol->GetParameter(0);
1924	<	stringstream mcresstring;
1925	<	mcresstring<<"Response: "<<std::setprecision(2)<<100*mccorrection<<" %";
1926	<	TText* mcrestitle = write_text(0.5,0.65,mcresstring.str());
1927	<	mcrestitle->SetTextAlign(12);
1928	<	mcrestitle->SetTextSize(0.03);
1929	<	mcrestitle->Draw();
1930	<	CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_MC");
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	+	dout << "Computing response corrections: " << endl;
2192	+	//Step 1 : Get results
2193	+	float datacorrection=find_one_correction_factor("Data","","Data");
2194	+	float mccorrection=find_one_correction_factor("DY","","MC");
2195	+
2196	+	float dataEEcorrection=find_one_correction_factor("Data","id1==0","Data_ee");
2197	+	float mcEEcorrection=find_one_correction_factor("DY","id1==0","MC_ee");
2198	+
2199	+	float dataMMcorrection=find_one_correction_factor("Data","id1==1","Data_mm");
2200	+	float mcMMcorrection=find_one_correction_factor("DY","id1==1","MC_mm");
2201	+
2202	+	cout << "Corrections : " << endl;
2203	+	cout << " Data : " << datacorrection << endl;
2204	+	cout << " ee (" << dataEEcorrection << ") , mm (" << dataMMcorrection << ")" << endl;
2205	+	cout << " MC : " << mccorrection << endl;
2206	+	cout << " ee (" << mcEEcorrection << ") , mm (" << mcMMcorrection << ")" << endl;
2207
2208	<	//Step 2: Getting the result
1934	<	// TCut zptcutforresponse("pt>30&&pt<300&&TMath::Abs(91.2-mll)<20&&id1==id2&&(ch1*ch2<0)");
2208	>	//Step 2: Processing the result and making it into something useful :-)
2209		stringstream jzbvardatas;
2210	<	if(datacorrection>1) jzbvardatas<<"(jzb[1]-"<<datacorrection-1<<"*pt)";
2211	<	if(datacorrection<1) jzbvardatas<<"(jzb[1]+"<<1-datacorrection<<"*pt)";
2210	>	jzbvardatas << "(";
2211	>
2212	>	if(dataEEcorrection>=1) jzbvardatas<<"((id1==0&&id1==id2)(jzb[1]-" << dataEEcorrection-1 << "pt))";
2213	>	if(dataEEcorrection<1) jzbvardatas<<"((id1==0&&id1==id2)(jzb[1]+" << 1-dataEEcorrection << "pt))";
2214	>
2215	>	if(dataMMcorrection>=1) jzbvardatas<<"+((id1==1&&id1==id2)(jzb[1]-" << dataMMcorrection-1 << "pt))";
2216	>	if(dataMMcorrection<1) jzbvardatas<<"+((id1==1&&id1==id2)(jzb[1]+" << 1-dataMMcorrection << "pt))";
2217	>
2218	>	float averagecorrection=(dataMMcorrection+dataEEcorrection)/2.0;
2219	>
2220	>	if(datacorrection>=1) jzbvardatas<<"+((id1!=id2)(jzb[1]-" << datacorrection-1 << "pt))";
2221	>	if(datacorrection<1) jzbvardatas<<"+((id1!=id2)(jzb[1]+" << 1-datacorrection << "pt))";
2222	>
2223	>	jzbvardatas << ")";
2224		jzbvardata=jzbvardatas.str();
2225	+
2226		stringstream jzbvarmcs;
2227	<	if(mccorrection>1) jzbvarmcs<<"(jzb[1]-"<<mccorrection-1<<"*pt)";
2228	<	if(mccorrection<1) jzbvarmcs<<"(jzb[1]+"<<1-mccorrection<<"*pt)";
2227	>	jzbvarmcs << "(";
2228	>
2229	>	if(mcEEcorrection>=1) jzbvarmcs<<"((id1==0&&id1==id2)(jzb[1]-" << mcEEcorrection-1 << "pt))";
2230	>	if(mcEEcorrection<1) jzbvarmcs<<"((id1==0&&id1==id2)(jzb[1]+" << 1-mcEEcorrection << "pt))";
2231	>
2232	>	if(mcMMcorrection>=1) jzbvarmcs<<"+((id1==1&&id1==id2)(jzb[1]-" << mcMMcorrection-1 << "pt))";
2233	>	if(mcMMcorrection<1) jzbvarmcs<<"+((id1==1&&id1==id2)(jzb[1]+" << 1-mcMMcorrection << "pt))";
2234	>
2235	>	float averagemccorrection=(mcMMcorrection+mcEEcorrection)/2.0;
2236	>
2237	>	if(mccorrection>=1) jzbvarmcs<<"+((id1!=id2)(jzb[1]-" << mccorrection-1 << "pt))";
2238	>	if(mccorrection<1) jzbvarmcs<<"+((id1!=id2)(jzb[1]+" << 1-mccorrection << "pt))";
2239	>
2240	>	jzbvarmcs << ")";
2241		jzbvarmc=jzbvarmcs.str();
2242	+
2243		dout << "JZB Z pt correction summary : " << endl;
2244		dout << " Data: The response is " << datacorrection << " --> jzb variable is now : " << jzbvardata << endl;
2245		dout << " MC : The response is " << mccorrection << " --> jzb variable is now : " << jzbvarmc << endl;
2246	+
2247		}
2248
2249		void pick_up_events(string cut) {
#	Line 1950 \| Line 2251 \| void pick_up_events(string cut) {
2251		allsamples.PickUpEvents(cut);
2252		}
2253
2254	<	void save_template(string mcjzb, string datajzb,vector<float> jzb_cuts,float MCPeakError) {
2254	>	void save_template(string mcjzb, string datajzb,vector<float> jzb_cuts,float MCPeakError,float DataPeakError, vector<float> jzb_shape_limit_bins) {
2255		dout << "Saving configuration template!" << endl;
2256		ofstream configfile;
2257		configfile.open("../DistributedModelCalculations/last_configuration.C");
#	Line 1970 \| Line 2271 \| void save_template(string mcjzb, string
2271		configfile<<"string datajzb=\"datajzb_ERROR\";\n";
2272		configfile<<"string mcjzb=\"mcjzb_ERROR\";\n";
2273		configfile<<"vector<float>jzb_cuts;\n";
2274	+	configfile<<"vector<float>jzb_shape_limit_bins;\n";
2275		configfile<<"float MCPeakError=-999;\n";
2276	+	configfile<<"float DataPeakError=-999;\n";
2277		configfile<<"}\n\n";
2278
2279		configfile<<"void read_config() {\n";
2280		configfile<<"datajzb=\""<<datajzb<<"\";\n";
2281		configfile<<"mcjzb=\""<<mcjzb<<"\";\n\n";
2282	<	configfile<<"\n\nMCPeakError="<<MCPeakError<<";\n\n";
2283	<	for(int i=0;i<jzb_cuts.size();i++) configfile<<"jzb_cuts.push_back("<<jzb_cuts[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2282	>	configfile<<"\n\nMCPeakError="<<MCPeakError<<";\n";
2283	>	configfile<<"DataPeakError="<<DataPeakError<<";\n\n";
2284	>	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";
2285	>	configfile<<"\n\n";
2286	>	for(int i=0;i<(int)Nobs.size();i++) configfile<<"Nobs.push_back("<<Nobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2287	>	for(int i=0;i<(int)Npred.size();i++) configfile<<"Npred.push_back("<<Npred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2288	>	for(int i=0;i<(int)Nprederr.size();i++) configfile<<"Nprederr.push_back("<<Nprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2289		configfile<<"\n\n";
2290	<	for(int i=0;i<Nobs.size();i++) configfile<<"Nobs.push_back("<<Nobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2291	<	for(int i=0;i<Npred.size();i++) configfile<<"Npred.push_back("<<Npred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2292	<	for(int i=0;i<Nprederr.size();i++) configfile<<"Nprederr.push_back("<<Nprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2290	>	for(int i=0;i<(int)flippedNobs.size();i++) configfile<<"flippedNobs.push_back("<<flippedNobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2291	>	for(int i=0;i<(int)flippedNpred.size();i++) configfile<<"flippedNpred.push_back("<<flippedNpred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2292	>	for(int i=0;i<(int)flippedNprederr.size();i++) configfile<<"flippedNprederr.push_back("<<flippedNprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2293	>	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";
2294		configfile<<"\n\n";
1986	–	for(int i=0;i<flippedNobs.size();i++) configfile<<"flippedNobs.push_back("<<flippedNobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
1987	–	for(int i=0;i<flippedNpred.size();i++) configfile<<"flippedNpred.push_back("<<flippedNpred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
1988	–	for(int i=0;i<flippedNprederr.size();i++) configfile<<"flippedNprederr.push_back("<<flippedNprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2295		configfile<<"\n\n";
2296		configfile<<"luminosity="<<luminosity<<";\n";
2297		configfile<<"RestrictToMassPeak="<<RestrictToMassPeak<<";//defines the type of analysis we're running\n";
#	Line 2011 \| Line 2317 \| *void draw_all_ttbar_histos(TCanvas can,**
2317		float max=histos[0]->GetMaximum();
2318		if(manualmin>=0) min=manualmin;
2319		else {
2320	<	for(int i=1;i<histos.size();i++) {
2320	>	for(int i=1;i<(int)histos.size();i++) {
2321		float curmin=get_nonzero_minimum(histos[i]);
2322		float curmax=histos[i]->GetMaximum();
2323		if(curmin<min) min=curmin;
#	Line 2022 \| Line 2328 \| *void draw_all_ttbar_histos(TCanvas can,**
2328		histos[0]->Draw(drawoption.c_str());
2329		stringstream drawopt;
2330		drawopt << drawoption << ",same";
2331	<	for(int i=1;i<histos.size();i++) {
2331	>	for(int i=1;i<(int)histos.size();i++) {
2332		histos[i]->Draw(drawopt.str().c_str());
2333		}
2334		}
#	Line 2031 \| Line 2337 \| void ttbar_sidebands_comparison(string m
2337		//in the case of the on peak analysis, we compare the 3 control regions to the real value
2338		//in the case of the OFF peak analysis, we compare our control region to the real value
2339		TCut weightbackup=cutWeight;
2340	<	cutWeight="1.0";
2340	>	// cutWeight="1.0";
2341		float simulatedlumi = luminosity; //in pb please - adjust to your likings
2342
2343
#	Line 2089 \| Line 2395 \| void ttbar_sidebands_comparison(string m
2395		leg->Draw("same");
2396		DrawMCPrelim(simulatedlumi);
2397		CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_shape_comparison");
2092	–
2398		TH1F TZemcopy = (TH1F)TZem->Clone("TZemcopy");
2399		TH1F TZeemmcopy = (TH1F)TZeemm->Clone("TZeemmcopy");
2400	<	TH1F TSeemmcopy = (TH1F)TSeemm->Clone("TSeemmcopy");
2401	<	TH1F TSemcopy = (TH1F)TSem->Clone("TSemcopy");
2400	>	TH1F *TSeemmcopy;
2401	>	TH1F *TSemcopy;
2402	>	if(PlottingSetup::RestrictToMassPeak) {
2403	>	TSeemmcopy = (TH1F*)TSeemm->Clone("TSeemmcopy");
2404	>	TSemcopy = (TH1F*)TSem->Clone("TSemcopy");
2405	>	}
2406
2407		TZem->Divide(TZeemm);
2408		TZem->SetMarkerStyle(21);
#	Line 2115 \| Line 2424 \| void ttbar_sidebands_comparison(string m
2424
2425		float linepos=0.25;
2426		if(PlottingSetup::RestrictToMassPeak) linepos=0.25;
2427	+	if(!PlottingSetup::RestrictToMassPeak) linepos=0.1; //sys uncertainty for iJZB
2428		TLine *top = new TLine(binning[0],1.0+linepos,binning[binning.size()-1],1.0+linepos);
2429		TLine *center = new TLine(binning[0],1.0,binning[binning.size()-1],1.0);
2430		TLine *bottom = new TLine(binning[0],1.0-linepos,binning[binning.size()-1],1.0-linepos);
2431
2432	+	/*write_warning(__FUNCTION__,"These two lines are to be removed!");
2433	+	TLine *topalt = new TLine(binning[0],1.0+0.1,binning[binning.size()-1],1.0+0.1);
2434	+	TLine *bottomalt = new TLine(binning[0],1.0-0.1,binning[binning.size()-1],1.0-0.1);
2435	+	topalt->SetLineColor(kRed);topalt->SetLineStyle(3);
2436	+	bottomalt->SetLineColor(kRed);bottomalt->SetLineStyle(3);
2437	+	topalt->Draw("same");bottomalt->Draw("same");*/
2438	+
2439	+
2440		top->SetLineColor(kBlue);top->SetLineStyle(2);
2441		bottom->SetLineColor(kBlue);bottom->SetLineStyle(2);
2442		center->SetLineColor(kBlue);
#	Line 2143 \| Line 2461 \| void ttbar_sidebands_comparison(string m
2461		CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_shape_comparison_ratio");
2462
2463
2146	–
2464		///-------------- second part: only look at the quantity we actually care about!
2465		TH1F leftsfzp = (TH1F)nTZeemm->Clone("leftsfzp");
2466		TH1F rightsfzp = (TH1F)TZeemmcopy->Clone("rightsfzp");
#	Line 2189 \| Line 2506 \| void ttbar_sidebands_comparison(string m
2506		tcan->SetLogy(0);
2507		rightofzp->Divide(rightsfzp);
2508		rightofzp->GetXaxis()->SetRangeUser(0.0,binning[binning.size()-1]);
2509	<	rightofzp->GetYaxis()->SetRangeUser(0.0,2.0);
2509	>	rightofzp->GetYaxis()->SetRangeUser(0.0,2.5);
2510		rightofzp->GetYaxis()->SetTitle("#deltaJZB ratio");
2511		rightofzp->Draw();
2512		if(PlottingSetup::RestrictToMassPeak) {
#	Line 2270 \| Line 2587 \| void ttbar_sidebands_comparison(string m
2587		}
2588
2589
2590	<	void zjets_prediction_comparison() {
2590	>	void zjets_prediction_comparison(string mcjzbWithPU) {
2591	>	TCanvas *zcan = new TCanvas("zcan","zcan");
2592	>	zcan->SetLogy(1);
2593	>	TCut weightbackup=cutWeight;
2594	>
2595	>	/*
2596		// Do it without PU re-weighting
2597		float MCPeakNoPU=0,MCPeakErrorNoPU=0,DataPeakNoPU=0,DataPeakErrorNoPU=0,MCSigma=0,DataSigma=0;
2598		stringstream resultsNoPU;
2599
2600		stringstream mcjzbnoPU;
2601	<	find_peaks(MCPeakNoPU,MCPeakErrorNoPU, DataPeakNoPU, DataPeakErrorNoPU,MCSigma,DataSigma,resultsNoPU,false);
2601	>	find_peaks(MCPeakNoPU,MCPeakErrorNoPU, DataPeakNoPU, DataPeakErrorNoPU,MCSigma,DataSigma,resultsNoPU,true);
2602		if(MCPeakNoPU>0) mcjzbnoPU<<"("<<jzbvariablemc<<"-"<<TMath::Abs(MCPeakNoPU)<<")";
2603		else mcjzbnoPU<<"("<<jzbvariablemc<<"+"<<TMath::Abs(MCPeakNoPU)<<")";
2604
2605		string mcjzb = mcjzbnoPU.str();
2606		dout << "The peak corrected JZB expression for MC without pileup is : " << mcjzb << endl;
2607
2286	–	TCut weightbackup=cutWeight;
2608		cutWeight="1.0";
2609	<	float sbg_min=0.;
2610	<	float sbg_max=100.;
2611	<	int sbg_nbins=5;
2609	>	*/
2610	>	string mcjzb = mcjzbWithPU; // this is with PURW, if you want without it you have to uncomment the part above (and comment out this line)
2611	>
2612	>	vector<float> binning;
2613	>	binning.push_back(0);
2614	>	binning.push_back(20);
2615	>	binning.push_back(40);
2616	>	binning.push_back(60);
2617	>	binning.push_back(80);
2618	>	binning.push_back(100);
2619	>	// float sbg_min=0.;
2620	>	// float sbg_max=100.;
2621	>	// int sbg_nbins=5;
2622		float simulatedlumi = luminosity;//in pb please - adjust to your likings
2623
2624		TCut kPos((mcjzb+">0").c_str());
2625		TCut kNeg((mcjzb+"<0").c_str());
2626		string var( "abs("+mcjzb+")" );
2627
2628	<	TCut kcut(cutmass&&cutOSSF&&"pfJetGoodNum>2");
2629	<	TH1F *hJZBpos = systsamples.Draw("hJZBpos",var,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",
2630	<	kcut&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
2300	<	TH1F *hJZBneg = systsamples.Draw("hJZBneg",var,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",
2301	<	kcut&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
2628	>	TCut kcut(cutmass&&cutOSSF&&cutnJets);
2629	>	TH1F *hJZBpos = systsamples.Draw("hJZBpos",var,binning, "JZB [GeV]", "events",kcut&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
2630	>	TH1F *hJZBneg = systsamples.Draw("hJZBneg",var,binning, "JZB [GeV]", "events",kcut&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
2631		hJZBpos->SetLineColor(kBlack);
2632		hJZBneg->SetLineColor(kRed);
2633
2634	<	Int_t nbins = 5;
2306	<	Float_t xmax = 100.;
2307	<
2308	<
2309	<	TCanvas *zcan = new TCanvas("zcan","zcan");
2310	<	zcan->SetLogy(1);
2311	<
2634	>	hJZBpos->SetMinimum(1.0);
2635		hJZBpos->Draw("e1");
2636		hJZBneg->Draw("same,hist");
2637		hJZBpos->Draw("same,e1"); // So it's on top...
#	Line 2323 \| Line 2646 \| void zjets_prediction_comparison() {
2646		TH1F* hratio = (TH1F*)hJZBpos->Clone("hratio");
2647		hratio->Divide(hJZBneg);
2648
2649	+	for(int i=1;i<=hJZBpos->GetNbinsX();i++) {
2650	+	cout << "Positive: " << hJZBpos->GetBinContent(i) << " vs Negative : " << hJZBneg->GetBinContent(i) << endl;
2651	+	}
2652	+
2653		zcan->SetLogy(0);
2654		hratio->GetYaxis()->SetRangeUser(0,2.5);
2655		hratio->GetYaxis()->SetTitle("Observed/Predicted");
2656		hratio->Draw("e1");
2657
2658	<	TLine *top = new TLine(sbg_min,1.25,sbg_max,1.25);
2659	<	TLine *center = new TLine(sbg_min,1.0,sbg_max,1.0);
2660	<	TLine *bottom = new TLine(sbg_min,0.75,sbg_max,0.75);
2658	>	TLine *top = new TLine(binning[0],1.25,binning[binning.size()-1],1.25);
2659	>	TLine *center = new TLine(binning[0],1.0,binning[binning.size()-1],1.0);
2660	>	TLine *bottom = new TLine(binning[0],0.75,binning[binning.size()-1],0.75);
2661
2662
2663		top->SetLineColor(kBlue);top->SetLineStyle(2);
#	Line 2372 \| Line 2699 \| void sideband_assessment(string datajzb,
2699		tout << "\\begin{tabular}{l\|cc}" << endl;
2700		tout << "\\hline" << endl;
2701		tout << "& {\\OFZP} & {\\OFSB} \\\\\\hline" << endl;
2702	<	tout << "\\#(events) & "<<OFSB<<" & "<<OFZP<<"\\\\ \\hline" << endl;
2702	>	tout << "\\#(events) & "<<OFZP<<" & "<<OFSB<<"\\\\ \\hline" << endl;
2703		tout << "\\end{tabular}" << endl;
2704		tout << "\\end{center}" << endl;
2705		tout << "\\end{table}" << endl;
#	Line 2390 \| Line 2717 \| void make_table(samplecollection &coll,
2717
2718		TCanvas *cannie = new TCanvas("cannie","cannie");
2719
2720	<	for(int icut=0;icut<jzb_cuts.size();icut++) {
2720	>	for(int icut=0;icut<(int)jzb_cuts.size();icut++) {
2721		float currcut=jzb_cuts[icut];
2722		int nbins=1;float low=currcut;
2723		vector<int> mysample;
#	Line 2449 \| Line 2776 \| void make_table(samplecollection &coll,
2776		//prediction part
2777		if(is_data) cout << "Data prediction & ";
2778		if(subselection!="none") cout << subselection << " prediction &";
2779	<	for(int ij=0;ij<jzb_cuts.size();ij++) cout << jzbcutprediction[ij] << " vs " << metcutprediction[ij] << " & ";
2779	>	for(int ij=0;ij<(int)jzb_cuts.size();ij++) cout << jzbcutprediction[ij] << " vs " << metcutprediction[ij] << " & ";
2780
2781		cout << endl;
2782		//observation part
2783		if(is_data) cout << "Data observation & ";
2784		if(subselection!="none") cout << subselection << " observation &";
2785	<	for(int ij=0;ij<jzb_cuts.size();ij++) cout << jzbcutobservation[ij] << " vs " << metcutobservation[ij] << " & ";
2785	>	for(int ij=0;ij<(int)jzb_cuts.size();ij++) cout << jzbcutobservation[ij] << " vs " << metcutobservation[ij] << " & ";
2786		cout << endl;
2787		cout << "_________________________________________________________________" << endl;
2788		delete cannie;
#	Line 2490 \| Line 2817 \| *void JZBSelEff(string mcjzb, TTree even**
2817		int nbins = sizeof(xbins)/sizeof(float)-1;
2818		int markers[] = { 20, 26, 21, 24, 22, 25, 28 };
2819
2820	<	TH1F* heff = new TH1F("heff", "JZB eff ; generator-level JZB [GeV]; efficiency",nbins,xbins);
2821	<	TH1F* hgen = new TH1F("hgen", "JZB gen ; generator-level JZB [GeV]; efficiency",nbins,xbins);
2822	<	TH1F* hreco = new TH1F("hreco","JZB reco ; generator-level JZB [GeV]; efficiency",nbins,xbins);
2820	>
2821	>	TH1F* heff = new TH1F("heff", "JZB eff ; generator JZB [GeV]; efficiency",nbins,xbins);
2822	>	TH1F* hgen = new TH1F("hgen", "JZB gen ; generator JZB [GeV]; efficiency",nbins,xbins);
2823	>	TH1F* hreco = new TH1F("hreco","JZB reco ; generator JZB [GeV]; efficiency",nbins,xbins);
2824
2825		TCut kgen(genMassCut&&"genZPt>0&&genNjets>2&&abs(genMID)==23"&&cutOSSF);
2826		TCut kreco(cutmass);
#	Line 2508 \| Line 2836 \| *void JZBSelEff(string mcjzb, TTree even**
2836		TCanvas *can = new TCanvas("can","Canvas for JZB Efficiency",600,600);
2837		can->SetGridx(1);
2838		can->SetGridy(1);
2839	+	can->SetLeftMargin(0.16);
2840	+	can->SetRightMargin(0.05);
2841		TLegend *leg = make_legend("",0.6,0.2,false,0.89,0.5);
2842	+	leg->SetBorderSize(1);
2843	+	leg->SetLineColor(kBlack);
2844	+	leg->SetTextFont(62);
2845
2846	<
2514	<
2515	<	for ( int icut=0; icut<jzb_bins.size(); ++icut ) {
2846	>	for ( int icut=0; icut<(int)jzb_bins.size(); ++icut ) {
2847
2848		ostringstream selection;
2849		selection << mcjzb << ">" << jzb_bins[icut];
#	Line 2528 \| Line 2859 \| *void JZBSelEff(string mcjzb, TTree even**
2859		}
2860
2861		heff->GetXaxis()->SetRangeUser(min, max);
2862	+	// heff->GetXaxis()->SetLabelSize(0.05); // paper style. overruled.
2863	+	// heff->GetYaxis()->SetLabelSize(0.05); // paper style. overruled.
2864	+	// heff->GetXaxis()->SetTitleSize(0.06); // paper style. overruled.
2865	+	// heff->GetYaxis()->SetTitleSize(0.06); // paper style. overruled.
2866		heff->SetMarkerStyle(markers[icut]);
2867		heff->Fit("func","Q+","same");
2868
#	Line 2539 \| Line 2874 \| *void JZBSelEff(string mcjzb, TTree even**
2874
2875		// Store plot
2876		TH1F* h = (TH1F*)heff->Clone(hname);
2877	+	h->SetNdivisions(505,"X");
2878		if ( icut) h->Draw("same");
2879		else h->Draw();
2880		char htitle[256]; sprintf(htitle,"JZB > %3.0f GeV", jzb_bins[icut]);
#	Line 2559 \| Line 2895 \| *void JZBSelEff(string mcjzb, TTree even**
2895		// Calls the above function for each signal sample
2896		void plot_jzb_sel_eff(string mcjzb, samplecollection &signalsamples, vector<float> bins )
2897		{
2898	<	for (int isignal=0; isignal<signalsamples.collection.size();isignal++) {
2898	>	for (int isignal=0; isignal<(int)signalsamples.collection.size();isignal++) {
2899		dout << "JZB selection efficiency curve: " << std::endl;
2900		JZBSelEff(mcjzb,(signalsamples.collection)[isignal].events,(signalsamples.collection)[isignal].samplename,bins); // Only for some selected samples
2901		}
#	Line 2602 \| Line 2938 \| void qcd_plots(string datajzb, string mc
2938		TH1F *RcorrJZBSBeemm;
2939		TH1F *LcorrJZBSBeemm;
2940
2941	<	TH1F *RcorrJZBeemmNoS;
2941	>	// TH1F *RcorrJZBeemmNoS;
2942
2943		//these are for the ratio
2944		TH1F *JRcorrJZBeemm = qcdsamples.Draw("JRcorrJZBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
#	Line 2686 \| Line 3022 \| void qcd_plots(string datajzb, string mc
3022		//3rd last argument: do special bpred ratio, 2nd last argument: extended range!, last: y-axis title
3023		string ytitle("ratio");
3024		if ( use_data==1 ) ytitle = "data/pred";
3025	<	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,"QCD/Bpred",true,use_data!=1,ytitle);
3025	>	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,"QCD/Bpred",true,false,ytitle);
3026
3027		TH1F *allevents = qcdsamples.Draw("allevents","pfJetGoodNum",1,0,100, "internal code", "events", "" ,mc, luminosity);
3028		TH1F *ossf = qcdsamples.Draw("ossf","pfJetGoodNum",1,0,100, "internal code", "events", cutOSSF ,mc, luminosity);
#	Line 2733 \| Line 3069 \| void qcd_plots(string datajzb, string mc
3069		dout << " Observation increases by : " << RcorrJZBeemm->Integral() << endl;
3070
3071		dout << endl;
3072	<	for(int i=0;i<bins.size();i++) {
3072	>	for(int i=0;i<(int)bins.size();i++) {
3073		dout << " JZB > " << bins[i] << " : " << endl;
3074		dout << " Observation increases by : " << RcorrJZBeemm->Integral(RcorrJZBeemm->FindBin(bins[i]),RcorrJZBeemm->GetNbinsX()) << endl;
3075		if(PlottingSetup::RestrictToMassPeak) {
#	Line 2781 \| Line 3117 \| void check_ptsanity() {
3117		leg->SetY2(1.0);
3118
3119
3120	<	for(int isample=0;isample<allsamples.collection.size();isample++) {
3120	>	for(int isample=0;isample<(int)allsamples.collection.size();isample++) {
3121		string nowname=(allsamples.collection)[isample].filename;
3122		cout << "Drawing: " << nowname << " (sample " << isample+1 << " / " << allsamples.collection.size() << ")" << endl;
3123		individualpt1histos[isample] = allsamples.Draw(GetNumericHistoName(),"pt1",50,0,50, "p_{T,1}", "events",cutOSSF&&cutnJets,mc,luminosity,allsamples.FindSample(nowname));
#	Line 2805 \| Line 3141 \| void check_ptsanity() {
3141		ptsancan->cd(2);
3142		fpt2->Draw();
3143
3144	<	for(int isample=0;isample<allsamples.collection.size();isample++) {
3144	>	for(int isample=0;isample<(int)allsamples.collection.size();isample++) {
3145		ptsancan->cd(1);
3146		individualpt1histos[isample]->DrawNormalized("same,histo");
3147		ptsancan->cd(2);
#	Line 2821 \| Line 3157 \| void check_ptsanity() {
3157		void do_mlls_plot(string mcjzb) {
3158		cout << "At this point we'd plot the mll distribution" << endl;
3159		TCanvas *sigcan = new TCanvas("sigcan","sigcan");
3160	<	for(int isig=0;isig<(signalsamples.collection).size();isig++) {
3160	>	for(int isig=0;isig<(int)(signalsamples.collection).size();isig++) {
3161		if(!(signalsamples.collection)[isig].events) continue;
3162		string nowname=(signalsamples.collection)[isig].filename;
3163		TH1F *mll = signalsamples.Draw("mllhisto","mll",150,0,150, "m_{ll}", "events",cutOSSF&&cutnJets,mc,luminosity,signalsamples.FindSample(nowname));
#	Line 2860 \| Line 3196 \| void met_vs_jzb_plots() {
3196		findme.push_back("TTJets");
3197		findme.push_back("LM");
3198
3199	<	for(int ifind=0;ifind<findme.size();ifind++) {
3199	>	for(int ifind=0;ifind<(int)findme.size();ifind++) {
3200		vector<int> selsamples = allsamples.FindSample(findme[ifind]);
3201		TH2F *metvsjzb = new TH2F("metvsjzb","metvsjzb",200,0,100,400,-100,100);
3202	<	for(int isel=0;isel<selsamples.size();isel++) {
3202	>	for(int isel=0;isel<(int)selsamples.size();isel++) {
3203		cout << "Producing MET:JZB plot ... working on sample: " << allsamples.collection[selsamples[isel]].filename << endl;
3204		allsamples.collection[selsamples[isel]].events->Draw("jzb[1]:met[4]>>+metvsjzb",cutmass&&cutOSSF);
3205		}

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Comparing UserCode/cbrown/Development/Plotting/Modules/Plotting_Functions.C (file contents): Revision 1.10 by buchmann, Fri Mar 30 07:05:45 2012 UTC vs. Revision 1.30 by buchmann, Tue Jun 19 16:13:35 2012 UTC

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Comparing UserCode/cbrown/Development/Plotting/Modules/Plotting_Functions.C (file contents):
Revision 1.10 by buchmann, Fri Mar 30 07:05:45 2012 UTC vs.
Revision 1.30 by buchmann, Tue Jun 19 16:13:35 2012 UTC