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

Comparing UserCode/cbrown/Development/Plotting/Modules/Plotting_Functions.C (file contents):
Revision 1.15 by buchmann, Wed Apr 18 13:04:08 2012 UTC vs.
Revision 1.36 by buchmann, Thu Jul 12 12:55:02 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 make_special_obs_pred_mll_plot(string mcjzb, float jzbthreshold) {
87	>	void find_peaks(float &MCPeak,float &MCPeakError, float &DataPeak, float &DataPeakError, stringstream &result, bool doPUreweighting, stringstream &datajzb, stringstream &mcjzb)
88	>	{
89	>
90	>	bool DoInvidualeemmPeaks=false;
91	>
92	>	float mcpeak, datapeak;
93	>	float mcpeakerr, datapeakerr;
94	>
95	>	float mceepeak,mcmmpeak;
96	>	float mceepeakerr,mcmmpeakerr;
97	>
98	>	float datammpeak,dataeepeak;
99	>	float datammpeakerr,dataeepeakerr;
100	>
101	>	float mcSigma, dataSigma;
102	>
103	>	dout << "Finding global peak : " << endl;
104	>	find_one_peak_combination(TCut(""),mcpeak,mcpeakerr, datapeak,datapeakerr,mcSigma, dataSigma,result,doPUreweighting,"");
105	>
106	>	if(DoInvidualeemmPeaks) {
107	>	dout << "Finding peak for electrons : " << endl;
108	>	find_one_peak_combination(TCut("id1==0"),mceepeak,mceepeakerr, dataeepeak,dataeepeakerr,mcSigma, dataSigma,result,doPUreweighting,"_ele");
109	>	dout << "Finding peak for muons : " << endl;
110	>	find_one_peak_combination(TCut("id1==1"),mcmmpeak,mcmmpeakerr, datammpeak,datammpeakerr,mcSigma, dataSigma,result,doPUreweighting,"_mu");
111	>
112	>	datajzb << "(" << jzbvariabledata;
113	>	mcjzb << "(" << jzbvariablemc;
114	>
115	>	if(dataeepeak>0) datajzb << "- (id1==id2)(id1==0)" << TMath::Abs(dataeepeak) << " ";
116	>	else datajzb << "+ (id1==id2)(id1==0)" << TMath::Abs(dataeepeak) << " ";
117	>
118	>	if(datammpeak>0) datajzb << "- (id1==id2)(id1==1)" << TMath::Abs(datammpeak) << " ";
119	>	else datajzb << "+ (id1==id2)(id1==1)" << TMath::Abs(datammpeak) << " ";
120	>
121	>	if(datapeak>0) datajzb << "- (id1!=id2)*" << TMath::Abs(datapeak) << " ";
122	>	else datajzb << "+ (id1!=id2)*" << TMath::Abs(datapeak) << " ";
123	>
124	>	datajzb << ")";
125	>
126	>	if(mceepeak>0) mcjzb << "- (id1==id2)(id1==0)" << TMath::Abs(mceepeak) << " ";
127	>	else mcjzb << "+ (id1==id2)(id1==0)" << TMath::Abs(mceepeak) << " ";
128	>
129	>	if(mcmmpeak>0) mcjzb << "- (id1==id2)(id1==1)" << TMath::Abs(mcmmpeak) << " ";
130	>	else mcjzb << "+ (id1==id2)(id1==1)" << TMath::Abs(mcmmpeak) << " ";
131	>
132	>	if(mcpeak>0) mcjzb << "- (id1!=id2)*" << TMath::Abs(mcpeak) << " ";
133	>	else mcjzb << "+ (id1!=id2)*" << TMath::Abs(mcpeak) << " ";
134	>
135	>	mcjzb << ")";
136	>	} else {
137	>	datajzb << "(" << jzbvariabledata;
138	>	mcjzb << "(" << jzbvariablemc;
139	>
140	>	if(datapeak>0) datajzb << "- " << TMath::Abs(datapeak) << " ";
141	>	else datajzb << "+ " << TMath::Abs(datapeak) << " ";
142	>
143	>	datajzb << ")";
144	>
145	>	if(mcpeak>0) mcjzb << "- " << TMath::Abs(mcpeak) << " ";
146	>	else mcjzb << "+ " << TMath::Abs(mcpeak) << " ";
147	>
148	>	mcjzb << ")";
149	>	}
150	>
151	>
152	>	}
153	>
154	>	void make_special_obs_pred_mll_plot(string datajzb, string mcjzb, float jzbthreshold) {
155		float min=70.0;
156		float max=115.0;
157		if(!PlottingSetup::RestrictToMassPeak) {
158	<	min=10;
159	<	max=150;
158	>	min=20;
159	>	max=200;
160		}
161		int nbins=int((max-min)/5);
162
163		TCanvas *ckin = new TCanvas("ckin","Kinematic Plots (in the making)",600,600);
164
165		stringstream largerzeroS;
166	<	largerzeroS << "(" << mcjzb << ">" << jzbthreshold << ")";
167	<	TCut largerzero(largerzeroS.str().c_str());
166	>	largerzeroS << "(" << datajzb << ">" << jzbthreshold << ")";
167	>	TCut largerzeroD(largerzeroS.str().c_str());
168
169		stringstream smallerzeroS;
170	<	smallerzeroS << "(" << mcjzb << "<-" << jzbthreshold << ")";
171	<	TCut smallerzero(smallerzeroS.str().c_str());
172	<
173	<	TH1F *RcorrJZBeemm = allsamples.Draw("RcorrJZBeemm", "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,data,luminosity);
174	<	THStack mcRcorrJZBeemm = allsamples.DrawStack("mcRcorrJZBeemm","mll",nbins,min,max, "m_{ll} [GeV}", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,mc,luminosity);
175	<	TH1F *LcorrJZBeemm = allsamples.Draw("LcorrJZBeemm", "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&smallerzero,data,luminosity);
176	<	TH1F *RcorrJZBem = allsamples.Draw("RcorrJZBem", "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&largerzero,data,luminosity);
177	<	TH1F *LcorrJZBem = allsamples.Draw("LcorrJZBem", "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&smallerzero,data,luminosity);
170	>	smallerzeroS << "(" << datajzb << "<-" << jzbthreshold << ")";
171	>	TCut smallerzeroD(smallerzeroS.str().c_str());
172	>
173	>
174	>	stringstream largerzeroMS;
175	>	largerzeroMS << "(" << mcjzb << ">" << jzbthreshold << ")";
176	>	TCut largerzeroM(largerzeroMS.str().c_str());
177	>
178	>	TH1F *RcorrJZBeemm = allsamples.Draw("RcorrJZBeemm", "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzeroD,data,luminosity);
179	>	THStack mcRcorrJZBeemm = allsamples.DrawStack("mcRcorrJZBeemm","mll",nbins,min,max, "m_{ll} [GeV}", "events", cutmass&&cutOSSF&&cutnJets&&largerzeroM,mc,luminosity);
180	>	TH1F *LcorrJZBeemm = allsamples.Draw("LcorrJZBeemm", "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&smallerzeroD,data,luminosity);
181	>	TH1F *RcorrJZBem = allsamples.Draw("RcorrJZBem", "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&largerzeroD,data,luminosity);
182	>	TH1F *LcorrJZBem = allsamples.Draw("LcorrJZBem", "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&smallerzeroD,data,luminosity);
183
184		TH1F *RcorrJZBSBem;
185		TH1F *LcorrJZBSBem;
186		TH1F *RcorrJZBSBeemm;
187		TH1F *LcorrJZBSBeemm;
188
189	<	TH1F *RcorrJZBeemmNoS;
189	>	// TH1F *RcorrJZBeemmNoS;
190
191		if(PlottingSetup::RestrictToMassPeak) {
192	<	RcorrJZBSBem = allsamples.Draw("RcorrJZBSBem", "mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&largerzero,data, luminosity);
193	<	LcorrJZBSBem = allsamples.Draw("LcorrJZBSBem", "mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&smallerzero,data, luminosity);
194	<	RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm","mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&largerzero,data, luminosity);
195	<	LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm","mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&smallerzero,data, luminosity);
192	>	RcorrJZBSBem = allsamples.Draw("RcorrJZBSBem", "mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&largerzeroD,data, luminosity);
193	>	LcorrJZBSBem = allsamples.Draw("LcorrJZBSBem", "mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&smallerzeroD,data, luminosity);
194	>	RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm","mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&largerzeroD,data, luminosity);
195	>	LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm","mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&smallerzeroD,data, luminosity);
196		}
197
198		TH1F Bpred = (TH1F)LcorrJZBeemm->Clone("Bpred");
#	Line 140 \| Line 224 \| void make_special_obs_pred_mll_plot(stri
224		stringstream saveas;
225		saveas << "kin/Mll_After_Cut/Cut_At" << jzbthreshold;
226		CompleteSave(ckin,saveas.str());
227	+
228	+
229	+
230	+	RcorrJZBeemm->Draw();
231	+	Bpred->Draw("histo,same");
232	+	RcorrJZBeemm->Draw("same");
233	+
234	+	TLegend *leg2 = make_legend();
235	+	leg2->SetX1(0.58);
236	+	leg2->AddEntry(RcorrJZBeemm,"observed (data)","l");
237	+	leg2->AddEntry(Bpred,"predicted (data)","l");
238	+	leg2->Draw("same");
239	+
240	+	saveas.str("");
241	+	saveas << "kin/Mll_After_Cut/Cut_At" << jzbthreshold << "_nomc";
242	+	CompleteSave(ckin,saveas.str());
243	+
244	+
245
246		delete RcorrJZBeemm;
247		delete LcorrJZBeemm;
#	Line 189 \| Line 291 \| void make_special_mll_plot(int nbins, fl
291		TIter next(bgleg->GetListOfPrimitives());
292		TObject* obj;
293		// Copy the nice bkgd legend skipping the "data"
294	<	while ( obj = next() )
294	>	while ( (obj = next()) )
295		if ( strcmp(((TLegendEntry*)obj)->GetObject()->GetName(),"datahistoOSSF") )
296		kinleg->GetListOfPrimitives()->Add(obj);
297
#	Line 208 \| Line 310 \| *void draw_ratio_plot(TH1 hdata, THStack**
310		TIter next(hmc.GetHists());
311		TObject* obj;
312		TH1* hratio = NULL;
313	<	while ( obj = next() ) {
313	>	while ( (obj = next()) ) {
314		if ( !hratio ) {
315		hratio = (TH1*)obj->Clone();
316		hratio->SetName("hratio");
#	Line 269 \| Line 371 \| void make_kin_plot(string variable, stri
371		TCut cut;
372		cut=cutmass&&cutOSSF&&cutnJets&&ibasiccut;
373		if(filename=="nJets") cut=cutmass&&cutOSSF&&ibasiccut;
374	+	if(filename=="nJets_osof") cut=cutmass&&cutOSOF&&ibasiccut;
375		if(filename=="nJets_nocuts_except_mll_ossf") cut=cutmass&&cutOSSF;
376		if(filename=="mll") {
377		cut=cutOSSF&&cutnJets&&ibasiccut;
#	Line 280 \| Line 383 \| void make_kin_plot(string variable, stri
383		draw_separation_lines=true;
384		}
385		if(filename=="mll_mm") cut=cutOSSF&&cutnJets&&ibasiccut&&"id1==1";
386	<	if(Contains(filename,"mll_aboveJZB100")) cut=cutOSSF&&cutnJets&&ibasiccut;
386	>	if(Contains(filename,"aboveJZB")) cut=cutOSSF&&cutnJets&&ibasiccut;
387	>	if(Contains(filename,"mll_ee_above")) cut=cut&&"id1==0";
388	>	if(Contains(filename,"mll_mm_above")) cut=cut&&"id1==1";
389		if(Contains(filename,"mll_osof_aboveJZB")) cut=cutOSOF&&cutnJets&&ibasiccut;
390		if(filename=="mll_inclusive"\|\|filename=="mll_inclusive_highrange") cut=cutOSSF;
391		if(filename=="mll_inclusive_osof") cut=cutOSOF;
#	Line 296 \| Line 401 \| void make_kin_plot(string variable, stri
401		THStack mcstack = allsamples.DrawStack("mcstack",variable,nbins,min,max, xlabel, "events",cut,mc,luminosity);
402		if(variable=="pfJetGoodPt[0]") datahisto->SetMaximum(10*datahisto->GetMaximum());
403		if(variable=="pt") datahisto->SetMaximum(10*datahisto->GetMaximum());
404	<	if(filename=="mll_inclusive") datahisto->SetMinimum(1);
404	>	if(filename=="mll_inclusive"\|\|filename=="mll_inclusive_mm"\|\|filename=="mll_inclusive_ee") datahisto->SetMinimum(1);
405		if(filename=="mll_osof") datahisto->SetMaximum(10*datahisto->GetMaximum());
406		if(filename=="mll_osof") datahisto->SetMinimum(9);
302	–
407		datahisto->SetMaximum(5.3*datahisto->GetMaximum());
408		datahisto->Draw("e1");
409		ckin->Update();
#	Line 393 \| Line 497 \| void make_JES_plot() {
497		TH1F *datahisto = allsamples.Draw("datahisto","pfJetGoodNum",nbins,min,max, xlabel, "events",cut,data,luminosity);
498		datahisto->SetMarkerSize(DataMarkerSize);
499		THStack mcstack = allsamples.DrawStack("mcstack","pfJetGoodNum",nbins,min,max, xlabel, "events",cut,mc,luminosity);
500	<	TH1F *JESup = allsamples.Draw("JESup","pfJetGoodNum315",nbins,min,max, xlabel, "events",cut,mc,luminosity);
501	<	TH1F *JESdn = allsamples.Draw("JESdn","pfJetGoodNum285",nbins,min,max, xlabel, "events",cut,mc,luminosity);
500	>	TH1F *JESup = allsamples.Draw("JESup","pfJetGoodNump1sigma",nbins,min,max, xlabel, "events",cut,mc,luminosity);
501	>	TH1F *JESdn = allsamples.Draw("JESdn","pfJetGoodNumn1sigma",nbins,min,max, xlabel, "events",cut,mc,luminosity);
502
503		datahisto->SetMinimum(1);
504		datahisto->SetMaximum(5.3*datahisto->GetMaximum()); // in line with kinematic plots style
#	Line 430 \| Line 534 \| void do_kinematic_plots(string mcjzb, st
534		bool dolog=true;
535		bool nolog=false;
536		if(doPF) write_warning(__FUNCTION__,"Please use caution when trying to produce PF plots; not all versions of the JZB trees have these variables!");
537	<	float mll_low=40;
537	>	float mll_low=50;
538		float mll_hi=160;
539		if(!PlottingSetup::RestrictToMassPeak) {
540	<	mll_low=10;
540	>	mll_low=20;
541		mll_hi=210;
542		}
543	<	/*
543	>
544	>	make_kin_plot("met[4]","",40,0,200,dolog,"MET [GeV]","met",doPF,true);
545		make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll",doPF,true);
546		make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_osof",doPF,true,true);
547		make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_ee",doPF,true);
#	Line 444 \| Line 549 \| void do_kinematic_plots(string mcjzb, st
549		make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive",doPF,true);
550		make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_ee",doPF,true);
551		make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_mm",doPF,true);
552	<	make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_osof",doPF,true);
553	<	make_kin_plot("mll","",(int)((350-mll_low)),mll_low,350,dolog,"m_{ll} [GeV]","mll_inclusive_highrange",doPF);/*
552	>	make_kin_plot("mll","",(int)((mll_hi-mll_low))/2,mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_osof",doPF,true);
553	>	make_kin_plot("mll","",(int)((350-mll_low)),mll_low,350,dolog,"m_{ll} [GeV]","mll_inclusive_highrange",doPF);
554		make_kin_plot("numVtx","",(int)(30.5-(-0.5)),-0.5,30.5,nolog,"N(Vtx)","numVtx",doPF);
555	<	make_kin_plot("jetpt[0]","",40,0,200,dolog,"leading jet p_{T} [GeV]","pfJetGoodPt_0",doPF);
556	<	make_kin_plot("jeteta[0]","",40,-5,5,nolog,"leading jet #eta","pfJetGoodEta_0",doPF);
555	>	// make_kin_plot("jetpt[0]","",40,0,200,dolog,"leading jet p_{T} [GeV]","pfJetGoodPt_0",doPF);
556	>	// make_kin_plot("jeteta[0]","",40,-5,5,nolog,"leading jet #eta","pfJetGoodEta_0",doPF);
557		make_kin_plot("pt","",50,0,400,dolog,"Z p_{T} [GeV]","Zpt",doPF);
558		make_kin_plot("pt1","",50,0,100,nolog,"p_{T} [GeV]","pt1",doPF);
559		make_kin_plot("pt2","",50,0,100,nolog,"p_{T} [GeV]","pt2",doPF);
560		make_kin_plot("eta1","",40,-5,5,nolog,"#eta_{l}","eta",doPF);
561		make_kin_plot("jzb[1]","",100,-150,150,dolog,"JZB [GeV]","jzb_ossf",doPF);
562	<	make_kin_plot("pfJetGoodNum","",8,0.5,8.5,dolog,"nJets","nJets",doPF);
563	<	make_kin_plot("pfJetGoodNum","",8,0.5,8.5,dolog,"nJets","nJets_nocuts_except_mll_ossf",doPF);//
562	>	make_kin_plot("pfJetGoodNum40","",9,-0.5,8.5,dolog,"nJets","nJets",doPF);
563	>	make_kin_plot("pfJetGoodNum40","",9,-0.5,8.5,dolog,"nJets","nJets_osof",doPF);
564	>	make_kin_plot("pfJetGoodNum40","",9,-0.5,8.5,dolog,"nJets","nJets_nocuts_except_mll_ossf",doPF);
565		if(!doPF) make_special_mll_plot((int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]");
566		stringstream jzbcut;
567		jzbcut << "((is_data&&("<<datajzb<<")>100)\|\|(!is_data&&("<<mcjzb<<")>100))";
568	<	make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB100",doPF,true);
569	<	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);
570	<	make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB100",doPF,true);
571	<	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);
568	>	make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_aboveJZB100",doPF,true);
569	>	make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_osof_aboveJZB100",doPF,true);
570	>	make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_ee_aboveJZB100",doPF,true);
571	>	make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_mm_aboveJZB100",doPF,true);
572		stringstream jzbcut2;
573		jzbcut2 << "((is_data&&("<<datajzb<<")>150)\|\|(!is_data&&("<<mcjzb<<")>150))";
574	<	make_kin_plot("mll",jzbcut2.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB150",doPF,true);
575	<	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);
574	>	make_kin_plot("mll",jzbcut2.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_aboveJZB150",doPF,true);
575	>	make_kin_plot("mll",jzbcut2.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_osof_aboveJZB150",doPF,true);
576	>	make_kin_plot("mll",jzbcut2.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_ee_aboveJZB150",doPF,true);
577	>	make_kin_plot("mll",jzbcut2.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_mm_aboveJZB150",doPF,true);
578		stringstream jzbcut3;
579		jzbcut3 << "((is_data&&("<<datajzb<<")>50)\|\|(!is_data&&("<<mcjzb<<")>50))";
580	<	make_kin_plot("mll",jzbcut3.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB50",doPF,true); make_kin_plot("mll",jzbcut3.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_osof_aboveJZB50",doPF,true,true);
581	<	*/
582	<	make_special_obs_pred_mll_plot(mcjzb,50);
583	<	make_special_obs_pred_mll_plot(mcjzb,100);
584	<	make_special_obs_pred_mll_plot(mcjzb,150);
585	<	make_special_obs_pred_mll_plot(mcjzb,200);
586	<	make_special_obs_pred_mll_plot(mcjzb,250);
580	>	make_kin_plot("mll",jzbcut3.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_aboveJZB50",doPF,true);
581	>	make_kin_plot("mll",jzbcut3.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_osof_aboveJZB50",doPF,true,true);
582	>	make_kin_plot("mll",jzbcut3.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_ee_aboveJZB50",doPF,true);
583	>	make_kin_plot("mll",jzbcut3.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_mm_aboveJZB50",doPF,true);
584	>
585	>
586	>	make_special_obs_pred_mll_plot(datajzb,mcjzb,0);
587	>	make_special_obs_pred_mll_plot(datajzb,mcjzb,50);
588	>	make_special_obs_pred_mll_plot(datajzb,mcjzb,100);
589	>	make_special_obs_pred_mll_plot(datajzb,mcjzb,150);
590	>	make_special_obs_pred_mll_plot(datajzb,mcjzb,200);
591	>	make_special_obs_pred_mll_plot(datajzb,mcjzb,250);
592	>
593	>	make_JES_plot();
594		}
595
596		void make_comp_plot( string var, string xlabel, string filename, float jzbcut, string mcjzb, string datajzb,
#	Line 509 \| Line 624 \| void make_comp_plot( string var, string
624		TCanvas *ccomp = new TCanvas("ccomp","Comparison plot",600,400);
625		ccomp->SetLogy(log);
626		TH1F *datahisto = allsamples.Draw("datahisto", var,nbins,xmin,xmax,xlabel,"events",kRegions[iregion]&&jzbData[ijzb],data,luminosity);
627	<	TH1F *lm4histo = signalsamples.Draw("lm4histo", var,nbins,xmin,xmax,xlabel,"events",kRegions[iregion]&&jzbData[ijzb],data,luminosity,signalsamples.FindSample("LM4"));
627	>	TH1F *lm4histo = signalsamples.Draw("lm4histo", var,nbins,xmin,xmax,xlabel,"events",kRegions[iregion]&&jzbData[ijzb],data,luminosity,signalsamples.FindSample("LM"));
628		THStack mcstack = allsamples.DrawStack("mcstack",var,nbins,xmin,xmax,xlabel,"events",kRegions[iregion]&&jzbMC[ijzb], mc, luminosity);
629		datahisto->SetMarkerSize(DataMarkerSize);
630		if (ymax>ymin) datahisto->SetMaximum(ymax);
#	Line 543 \| Line 658 \| void region_comparison_plots(string mcjz
658		dout << "Creating comparison plots for signal and control regions" << endl;
659		// Compare a few quantities in the signal region and all 7 control regions
660
661	<	switch_overunderflow(true); // switching overflow/underflow bins on
661	>	// switch_overunderflow(true); // switching overflow/underflow bins on
662
663
664		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- the arguments changed
665	<	for(int ijzb=0;ijzb<jzb_cuts.size();ijzb++) {
665	>	for(int ijzb=0;ijzb<(int)jzb_cuts.size();ijzb++) {
666		float jzbcut=jzb_cuts[ijzb]; // Comparison plots are done for this JZB cut
667		float mll_low=50;float mll_high=170;
668		if(!PlottingSetup::RestrictToMassPeak) {
#	Line 854 \| Line 969 \| if you want to start from scratch (witho
969		return return_functions;
970		}
971
972	<	void do_prediction_plot(string jzb, TCanvas *globalcanvas, float sigma, float high, int use_data, bool overlay_signal = false,string subdir="" )
972	>	void do_prediction_plot(string jzb, TCanvas *globalcanvas, float high, int use_data, bool overlay_signal = false,string subdir="" )
973		{
974	<	// note: sigma is not used ATM
860	<	switch_overunderflow(true);
974	>	// switch_overunderflow(true);
975		bool is_data=false;
976		bool use_signal=false;
977		if(use_data==1) is_data=true;
#	Line 867 \| Line 981 \| void do_prediction_plot(string jzb, TCan
981		float low=0;
982		float hi=500;
983
870	–	stringstream largerzeroS;
871	–	largerzeroS << "("<<jzb<<">0)";
872	–	TCut largerzero(largerzeroS.str().c_str());
873	–	stringstream smallerzeroS;
874	–	smallerzeroS << "("<<jzb<<"<0)";
875	–	TCut smallerzero(smallerzeroS.str().c_str());
876	–
984		TH1F *blankback = new TH1F("blankback","blankback",int(high/10),0,high);
985	<	TH1F *RcorrJZBeemm = allsamples.Draw("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
986	<	TH1F *LcorrJZBeemm = allsamples.Draw("LcorrJZBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
987	<	TH1F *RcorrJZBem = allsamples.Draw("RcorrJZBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
988	<	TH1F *LcorrJZBem = allsamples.Draw("LcorrJZBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
985	>	TH1F *RcorrJZBeemm = allsamples.Draw("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
986	>	TH1F *LcorrJZBeemm = allsamples.Draw("LcorrJZBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
987	>	TH1F *RcorrJZBem = allsamples.Draw("RcorrJZBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
988	>	TH1F *LcorrJZBem = allsamples.Draw("LcorrJZBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
989
990		blankback->GetXaxis()->SetTitle(RcorrJZBeemm->GetXaxis()->GetTitle());
991		blankback->GetYaxis()->SetTitle(RcorrJZBeemm->GetYaxis()->GetTitle());
#	Line 895 \| Line 1002 \| void do_prediction_plot(string jzb, TCan
1002
1003		//these are for the ratio
1004
1005	<	TH1F *JRcorrJZBeemm = allsamples.Draw("JRcorrJZBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
1006	<	TH1F *JLcorrJZBeemm = allsamples.Draw("JLcorrJZBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
1007	<	TH1F *JRcorrJZBem = allsamples.Draw("JRcorrJZBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
1008	<	TH1F *JLcorrJZBem = allsamples.Draw("JLcorrJZBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
1005	>	TH1F *JRcorrJZBeemm = allsamples.Draw("JRcorrJZBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1006	>	TH1F *JLcorrJZBeemm = allsamples.Draw("JLcorrJZBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1007	>	TH1F *JRcorrJZBem = allsamples.Draw("JRcorrJZBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1008	>	TH1F *JLcorrJZBem = allsamples.Draw("JLcorrJZBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1009
1010		TH1F *JRcorrJZBSBem;
1011		TH1F *JLcorrJZBSBem;
1012		TH1F *JRcorrJZBSBeemm;
1013		TH1F *JLcorrJZBSBeemm;
1014
1015	<	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);
1015	>	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);
1016
1017
1018		if(PlottingSetup::RestrictToMassPeak) {
1019	<	RcorrJZBSBem = allsamples.Draw("RcorrJZBSBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
1020	<	LcorrJZBSBem = allsamples.Draw("LcorrJZBSBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
1021	<	RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
1022	<	LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
1019	>	RcorrJZBSBem = allsamples.Draw("RcorrJZBSBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1020	>	LcorrJZBSBem = allsamples.Draw("LcorrJZBSBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1021	>	RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1022	>	LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1023
1024		//these are for the ratio
1025	<	JRcorrJZBSBem = allsamples.Draw("JRcorrJZBSBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
1026	<	JLcorrJZBSBem = allsamples.Draw("JLcorrJZBSBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
1027	<	JRcorrJZBSBeemm = allsamples.Draw("JRcorrJZBSBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
1028	<	JLcorrJZBSBeemm = allsamples.Draw("JLcorrJZBSBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
1025	>	JRcorrJZBSBem = allsamples.Draw("JRcorrJZBSBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1026	>	JLcorrJZBSBem = allsamples.Draw("JLcorrJZBSBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1027	>	JRcorrJZBSBeemm = allsamples.Draw("JRcorrJZBSBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1028	>	JLcorrJZBSBeemm = allsamples.Draw("JLcorrJZBSBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1029		}
1030
1031		TH1F *lm4RcorrJZBeemm;
1032	<	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"));
1032	>	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"));
1033
1034		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- prediction changed.
1035
#	Line 931 \| Line 1038 \| void do_prediction_plot(string jzb, TCan
1038
1039		TH1F Bpred = (TH1F)LcorrJZBeemm->Clone("Bpred");
1040		TH1F JBpred = (TH1F)JLcorrJZBeemm->Clone("Bpred");
1041	+
1042	+	TH1F *BpredSys = new TH1F("Bpredsys","Bpredsys",PlottingSetup::global_ratio_binning.size()-1,&PlottingSetup::global_ratio_binning[0]);
1043	+	ClearHisto(BpredSys);
1044	+
1045		if(PlottingSetup::RestrictToMassPeak) {
1046		Bpred->Add(RcorrJZBem,1.0/3.);
1047		Bpred->Add(LcorrJZBem,-1.0/3.);
#	Line 953 \| Line 1064 \| void do_prediction_plot(string jzb, TCan
1064		JBpred->Add(JLcorrJZBSBem,-1.0/3.);
1065		JBpred->Add(JRcorrJZBSBeemm,1.0/3.);
1066		JBpred->Add(JLcorrJZBSBeemm,-1.0/3.);
1067	+
1068	+	//Systematics:
1069	+	AddSquared(BpredSys,JLcorrJZBeemm,zjetsestimateuncertONPEAK*zjetsestimateuncertONPEAK);
1070	+	AddSquared(BpredSys,JRcorrJZBem,emuncertONPEAKemuncertONPEAK(1.0/9));
1071	+	AddSquared(BpredSys,JLcorrJZBem,emuncertONPEAKemuncertONPEAK(1.0/9));
1072	+	AddSquared(BpredSys,JRcorrJZBSBem,emsidebanduncertONPEAKemsidebanduncertONPEAK(1.0/9));
1073	+	AddSquared(BpredSys,JLcorrJZBSBem,emsidebanduncertONPEAKemsidebanduncertONPEAK(1.0/9));
1074	+	AddSquared(BpredSys,JRcorrJZBSBeemm,eemmsidebanduncertONPEAKeemmsidebanduncertONPEAK(1.0/9));
1075	+	AddSquared(BpredSys,JLcorrJZBSBeemm,eemmsidebanduncertONPEAKeemmsidebanduncertONPEAK(1.0/9));
1076		} else {
1077		Bpred->Add(RcorrJZBem,1.0);
1078		Bpred->Add(LcorrJZBem,-1.0);
#	Line 962 \| Line 1082 \| void do_prediction_plot(string jzb, TCan
1082		//these are for the ratio
1083		JBpred->Add(JRcorrJZBem,1.0);
1084		JBpred->Add(JLcorrJZBem,-1.0);
1085	+
1086	+	//Systematics
1087	+	AddSquared(BpredSys,JLcorrJZBeemm,zjetsestimateuncertOFFPEAK*zjetsestimateuncertOFFPEAK);
1088	+	AddSquared(BpredSys,JRcorrJZBem,emuncertOFFPEAK*emuncertOFFPEAK);
1089	+	AddSquared(BpredSys,JLcorrJZBem,emuncertOFFPEAK*emuncertOFFPEAK);
1090	+
1091		}
1092
1093	<
1093	>	SQRT(BpredSys);
1094	>	BpredSys->Divide(JBpred);
1095	>
1096
1097		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- prediction changed
1098		TH1F Tpred = (TH1F)RcorrJZBem->Clone("Bpred");
#	Line 1021 \| Line 1149 \| void do_prediction_plot(string jzb, TCan
1149		lm4RcorrJZBeemm->Draw("hist,same");
1150		legBpred->AddEntry(RcorrJZBeemm,"observed","p");
1151		legBpred->AddEntry(Bpred,"predicted","l");
1152	<	legBpred->AddEntry(analytical_function[1],"predicted fit","l");
1153	<	legBpred->AddEntry(analytical_function[2],"stat. uncert.","l");
1154	<	if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1152	>	// legBpred->AddEntry(analytical_function[1],"predicted fit","l");
1153	>	// legBpred->AddEntry(analytical_function[2],"stat. uncert.","l");
1154	>	legBpred->AddEntry(lm4RcorrJZBeemm,(allsamples.collection[allsamples.FindSample("LM")[0]].samplename).c_str(),"l");
1155		legBpred->Draw();
1156		DrawPrelim();
1157
#	Line 1062 \| Line 1190 \| void do_prediction_plot(string jzb, TCan
1190		speciallegBpred->AddEntry(RcorrJZBeemm,"Data","pl");
1191		speciallegBpred->AddEntry(Bpred,"Total background","l");
1192		speciallegBpred->AddEntry(jzbnegative,"JZB<0 (data)","f");
1193	<	speciallegBpred->AddEntry(sidebandsemu,"Sidebands/e#mu (data)","f");
1193	>	if(PlottingSetup::RestrictToMassPeak) speciallegBpred->AddEntry(sidebandsemu,"Sidebands/e#mu (data)","f");
1194	>	else speciallegBpred->AddEntry(sidebandsemu,"e#mu (data)","f");
1195		// speciallegBpred->AddEntry(lm4RcorrJZBeemmC,"LM4","l");
1196		speciallegBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1197		speciallegBpred->Draw();
1198	<	save_with_ratio(JRcorrJZBeemm,JBpred,predcomppad,subdir+"Bpred_Data_____PredictionComposition",true,use_data!=1,"data/pred");
1198	>	save_with_ratio(JRcorrJZBeemm,JBpred,predcomppad,subdir+"Bpred_Data_____PredictionComposition",true,true,"data/pred",BpredSys);
1199
1200		TCanvas *specialcanv = new TCanvas("specialcanv","specialcanv");
1201	<	THStack kostack = allsamples.DrawStack("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,!is_data, luminosity,use_signal);
1201	>	specialcanv->SetLogy(1);
1202	>	// THStack kostack = allsamples.DrawStack("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,!is_data, luminosity,use_signal);
1203		blankback->Draw();
1204	<	kostack.Draw("same");
1204	>	// kostack.Draw("same");
1205	>	predcomposition.Draw();
1206		Bpred->Draw("hist,same");
1207	<	analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1207	>	//analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1208		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1209		legBpred->Draw();
1210		DrawPrelim();
1211		CompleteSave(specialcanv,subdir+"Bpred_Data_____PredictionCompositioninMC");
1212		Bpred->SetLineWidth((int)CurrentBpredLineWidth);
1213
1214	+
1215	+	//for(int i=1;i<=Bpred->GetNbinsX();i++) cout << Bpred->GetBinLowEdge(i) << ";" << Bpred->GetBinLowEdge(i)+Bpred->GetBinWidth(i) << ";;" << RcorrJZBeemm->GetBinContent(i) << ";" << LcorrJZBeemm->GetBinContent(i) << ";" << RcorrJZBem->GetBinContent(i) << ";" << LcorrJZBem->GetBinContent(i) << endl;
1216	+
1217		delete speciallegBpred;
1218		delete Zjetspred;
1219		delete TTbarpred;
#	Line 1092 \| Line 1226 \| void do_prediction_plot(string jzb, TCan
1226		Bpred->Draw("hist,same");
1227		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1228		legBpred->AddEntry(RcorrJZBeemm,"MC true","p");
1229	<	legBpred->AddEntry(Bpred,"MC predicted","l");
1229	>	legBpred->AddEntry(Bpred,"MC predicted","l");
1230		if(versok) legBpred->AddEntry((TObject*)0,"",""); // Just for alignment // causes seg fault on root v5.18
1231		if(versok) legBpred->AddEntry((TObject*)0,"",""); // causes seg fault on root v5.18
1232		if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
#	Line 1144 \| Line 1278 \| void do_prediction_plot(string jzb, TCan
1278		string ytitle("ratio");
1279		if ( use_data==1 ) ytitle = "data/pred";
1280		//save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,Bpredsaveas,true,use_data!=1,ytitle);
1281	<	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,subdir+Bpredsaveas,true,false,ytitle);//not extending the y range anymore up to 4
1281	>	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,subdir+Bpredsaveas,true,true,ytitle,BpredSys);//not extending the y range anymore up to 4
1282
1283
1284		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1285	<	/// The part below is meaningless for the offpeak analysis (it's a comparison of the different estimates but there is but one estimate!)
1285	>	// The part below is meaningless for the offpeak analysis (it's a comparison of the different estimates but there is but one estimate!)
1286		if(PlottingSetup::RestrictToMassPeak) {
1287		TH1F Bpredem = (TH1F)LcorrJZBeemm->Clone("Bpredem");
1288		Bpredem->Add(RcorrJZBem);
#	Line 1210 \| Line 1344 \| void do_prediction_plot(string jzb, TCan
1344		}
1345		}
1346
1347	+	TFile *f = new TFile("tester.root","RECREATE");
1348	+	RcorrJZBeemm->Write();
1349	+	Bpred->Write();
1350	+	f->Close();
1351	+
1352		delete RcorrJZBeemm;
1353		delete LcorrJZBeemm;
1354		delete RcorrJZBem;
#	Line 1222 \| Line 1361 \| void do_prediction_plot(string jzb, TCan
1361
1362		delete blankback;
1363
1364	+	delete BpredSys;
1365		if(PlottingSetup::RestrictToMassPeak) {
1366		delete RcorrJZBSBem;
1367		delete LcorrJZBSBem;
#	Line 1239 \| Line 1379 \| void do_prediction_plot(string jzb, TCan
1379
1380		void do_prediction_plots(string mcjzb, string datajzb, float DataSigma, float MCSigma, bool overlay_signal ) {
1381		TCanvas *globalcanvas = new TCanvas("globalcanvas","Prediction Canvas");
1382	<	do_prediction_plot(datajzb,globalcanvas,DataSigma,jzbHigh ,data,overlay_signal);
1382	>	do_prediction_plot(datajzb,globalcanvas,jzbHigh ,data,overlay_signal);
1383		if ( !PlottingSetup::Approved ) {
1384	<	do_prediction_plot(mcjzb,globalcanvas,MCSigma,jzbHigh ,mc,overlay_signal);
1385	<	do_prediction_plot(mcjzb,globalcanvas,MCSigma,jzbHigh ,mcwithsignal,overlay_signal);
1384	>	do_prediction_plot(mcjzb,globalcanvas,jzbHigh ,mc,overlay_signal);
1385	>	do_prediction_plot(mcjzb,globalcanvas,jzbHigh ,mcwithsignal,overlay_signal);
1386		} else {
1387		write_info(__FUNCTION__,"You set approved to true, therefore not producing prediction/observation plots for MC with and without signal.");
1388		}
#	Line 1665 \| Line 1805 \| void diboson_plots(string mcjzb, string
1805
1806
1807		dout << "Going to increase the cross section for diboson samples ... " << endl;
1808	<	for(int i=0;i<SamplesToBeModified.size();i++) {
1808	>	for(int i=0;i<(int)SamplesToBeModified.size();i++) {
1809		float origxs=(allsamples.collection)[SamplesToBeModified[i]].xs;
1810		(allsamples.collection)[SamplesToBeModified[i]].xs=origxs*stretchfactor;
1811		dout << " Increased xs for sample " << (allsamples.collection)[SamplesToBeModified[i]].filename << " from " << origxs << " to " << (allsamples.collection)[SamplesToBeModified[i]].xs << " (by a factor of " << stretchfactor << ")" << endl;
#	Line 1677 \| Line 1817 \| void diboson_plots(string mcjzb, string
1817		dout << "Going to produce JZB plots" << endl;
1818		produce_stretched_jzb_plots(mcjzb,datajzb,ratio_binning);
1819		TCanvas *gloca = new TCanvas("gloca","gloca");
1680	–	float sigma=123456;
1820
1821		dout << "Going to produce prediction plots" << endl;
1822	<	do_prediction_plot(mcjzb, gloca, sigma, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do only MC plots, no signal
1823	<	do_prediction_plot(mcjzb, gloca, sigma, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do MC plots with signal
1822	>	do_prediction_plot(mcjzb, gloca, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do only MC plots, no signal
1823	>	do_prediction_plot(mcjzb, gloca, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do MC plots with signal
1824		delete gloca;
1825
1826		dout << "Going to reset the cross section for diboson samples ... " << endl;
1827	<	for(int i=0;i<SamplesToBeModified.size();i++) {
1827	>	for(int i=0;i<(int)SamplesToBeModified.size();i++) {
1828		float Upxs=(allsamples.collection)[SamplesToBeModified[i]].xs;
1829		(allsamples.collection)[SamplesToBeModified[i]].xs=(allsamples.collection)[SamplesToBeModified[i]].xs*(1.0/stretchfactor);
1830		string Upname=(allsamples.collection)[SamplesToBeModified[i]].samplename;
#	Line 1695 \| Line 1834 \| void diboson_plots(string mcjzb, string
1834		}
1835
1836		}
1837	+
1838	+
1839	+	void draw_normalized_data_vs_data_histo(TCut cut1, TCut cut2, string variable, string legentry1, string legentry2, string savename, TCanvas *can,vector<float> binning) {
1840	+	TPad *jzbpad = new TPad("jzbpad","jzbpad",0,0,1,1);
1841	+	jzbpad->cd();
1842	+	jzbpad->SetLogy(1);
1843	+	string xlabel="JZB [GeV]";
1844	+
1845	+	TH1F *datahisto1 = allsamples.Draw("datahisto1",variable,binning, xlabel, "events",cut1,data,luminosity);
1846	+	datahisto1->SetLineColor(kRed);
1847	+	datahisto1->SetMarkerColor(kRed);
1848	+	TH1F *datahisto2 = allsamples.Draw("datahisto2",variable,binning, xlabel, "events",cut2,data,luminosity);
1849	+	datahisto2->SetLineColor(kBlue);
1850	+	datahisto2->SetMarkerColor(kBlue);
1851	+
1852	+	datahisto2->SetMarkerSize(DataMarkerSize);
1853	+	datahisto1->DrawNormalized("e1");
1854	+	datahisto2->DrawNormalized("histo,same");
1855	+	datahisto1->DrawNormalized("same,e1");
1856	+
1857	+	TLegend *leg = make_legend();
1858	+	leg->AddEntry(datahisto1,legentry1.c_str());
1859	+	leg->AddEntry(datahisto2,legentry2.c_str());
1860	+	leg->Draw();
1861	+
1862	+	save_with_ratio(datahisto1,datahisto2,jzbpad->cd(),("jzb/"+savename));
1863	+
1864	+	datahisto1->Delete();
1865	+	datahisto2->Delete();
1866	+	}
1867	+
1868	+
1869		void jzb_plots(string mcjzb, string datajzb,vector<float> ratio_binning) {
1870		TCanvas *can = new TCanvas("can","JZB Plots Canvas");
1871		float max=jzbHigh ;
#	Line 1709 \| Line 1880 \| void jzb_plots(string mcjzb, string data
1880		for(int i=0;i<=rebinnedbins;i++)coarsest_binning.push_back(min+i*(max-min)/((float)rebinnedbins));
1881
1882		if ( !PlottingSetup::Approved ) {
1883	+	/*
1884		draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP",can,binning);
1885		draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP",can,binning);
1886		draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_SFZP",can,binning);
#	Line 1718 \| Line 1890 \| void jzb_plots(string mcjzb, string data
1890		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1891		if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB",can,binning);
1892		if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB",can,binning);
1893	+	*/
1894	+	draw_normalized_data_vs_data_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,"ee","mm","jzb_ee_vs_mm",can,binning);
1895	+	draw_normalized_data_vs_data_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,"ee","mm","jzb_ee_vs_mm_coarse",can,coarse_binning);
1896	+	draw_normalized_data_vs_data_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,"ee","mm","jzb_ee_vs_mm_coarsest",can,coarsest_binning);
1897	+
1898		}
1899
1900		draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP_coarse",can,coarse_binning);
#	Line 1782 \| Line 1959 \| void compute_MC_yields(string mcjzb,vect
1959		string posneg[] = {"pos","neg"};
1960		TCut tkRegions[] = {cutOSSF&&cutnJets&&cutmass,cutOSOF&&cutnJets&&cutmass,cutOSSF&&cutnJets&&sidebandcut,cutOSOF&&cutnJets&&sidebandcut};
1961
1962	<	for(int ijzb=0;ijzb<jzb_cuts.size();ijzb++) {
1962	>	for(int ijzb=0;ijzb<(int)jzb_cuts.size();ijzb++) {
1963		TCut jzbMC[] = { give_jzb_expression(mcjzb,jzb_cuts[ijzb],"pos"), give_jzb_expression(mcjzb,jzb_cuts[ijzb],"neg") };
1964		dout << "_________________________________________________________" << endl;
1965		dout << "Table for JZB> " << jzb_cuts[ijzb] << endl;
1966	<	for(int isample=0;isample<(allsamples.collection).size();isample++) {
1966	>	for(int isample=0;isample<(int)(allsamples.collection).size();isample++) {
1967		if(!(allsamples.collection)[isample].is_data) dout << (allsamples.collection)[isample].samplename << " & ";
1968		else dout << "Sample & ";
1969		for(int iregion=0;iregion<nRegions;iregion++) {
#	Line 2045 \| Line 2222 \| void draw_ttbar_and_zjets_shape_for_one_
2222
2223		void draw_ttbar_and_zjets_shape(string mcjzb, string datajzb) {
2224		int all_leptons=-1;
2048	–	int electrons_only=0;
2049	–	int mu_only=1;
2050	–	int twojetswith50gev=1;
2225		int threejetswith30gev=0;
2226		/*
2227	+	int twojetswith50gev=1;
2228	+	int electrons_only=0;
2229	+	int mu_only=1;
2230	+
2231		draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,all_leptons,twojetswith50gev);
2232		draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,all_leptons,threejetswith30gev);
2233
#	Line 2063 \| Line 2241 \| void draw_ttbar_and_zjets_shape(string m
2241		draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,all_leptons,threejetswith30gev,true);
2242		}
2243
2244	<	void find_correction_factors(string &jzbvardata,string &jzbvarmc) {
2067	<	//first: colorful plots
2244	>	float find_one_correction_factor(string FindKeyword, bool dodata, TCut SpecialCut, string SaveAs) {
2245		TCanvas *cancorr = new TCanvas("cancorr","Canvas for Response Correction");
2246		cancorr->SetLogz();
2247		cancorr->SetRightMargin(0.13);
2248	<	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
2249	<	TCut zptforresponsepresentation("pt<600"&&cutmass&&cutOSSF&&"((sumJetPt[1]/pt)<5.0)");
2248	>	TCut zptforresponsepresentation("pt<600"&&cutmass&&cutOSSF&&"((sumJetPt[1]/pt)<5.0)"&&SpecialCut&&passtrig);
2249	>	if(PlottingSetup::DoBTag) zptforresponsepresentation=zptforresponsepresentation&&PlottingSetup::bTagRequirement;
2250		TH2F *niceresponseplotd = new TH2F("niceresponseplotd","",100,0,600,100,0,5);
2251	<	(allsamples.collection)[allsamples.FindSample("Data")[0]].events->Draw("sumJetPt[1]/pt:pt>>niceresponseplotd",zptforresponsepresentation);
2251	>	vector<int> SampleIndices=allsamples.FindSample(FindKeyword);
2252	>	for(int iSample=0;iSample<(int)SampleIndices.size();iSample++) {
2253	>	if((allsamples.collection)[SampleIndices[iSample]].is_data && !dodata) continue;
2254	>	if((allsamples.collection)[SampleIndices[iSample]].is_data ==false && dodata) continue;
2255	>
2256	>	dout << " Response correction : Using sample " << (allsamples.collection)[SampleIndices[iSample]].filename << " for " << FindKeyword << endl;
2257	>	(allsamples.collection)[SampleIndices[iSample]].events->Draw("sumJetPt[1]/pt:pt>>+niceresponseplotd",zptforresponsepresentation*cutWeight);
2258	>	}
2259	>
2260		niceresponseplotd->SetStats(0);
2261		niceresponseplotd->GetXaxis()->SetTitle("Z p_{T} [GeV]");
2262		niceresponseplotd->GetYaxis()->SetTitle("Response");
#	Line 2080 \| Line 2265 \| void find_correction_factors(string &jzb
2265		niceresponseplotd->Draw("COLZ");
2266		TProfile * profd = (TProfile*)niceresponseplotd->ProfileX();
2267		profd->SetMarkerSize(DataMarkerSize);
2268	<	profd->Fit("pol0","","same,e1",30,400);
2268	>	profd->Fit("pol0","","same,e1",100,400);
2269		DrawPrelim();
2270	<	TText* title = write_text(0.5,0.7,"Data");
2270	>	string stitle="Data";
2271	>	if(!Contains(FindKeyword,"Data")) stitle="MC";
2272	>	TText* title = write_text(0.5,0.7,stitle.c_str());
2273		title->SetTextAlign(12);
2274		title->Draw();
2275		TF1 datapol=(TF1)profd->GetFunction("pol0");
2276	<	float datacorrection=datapol->GetParameter(0);
2277	<	stringstream dataresstring;
2278	<	dataresstring<<"Response: "<<std::setprecision(2)<<100*datacorrection<<" %";
2279	<	TText* restitle = write_text(0.5,0.65,dataresstring.str());
2276	>	float correction=datapol->GetParameter(0);
2277	>	stringstream resstring;
2278	>	resstring<<"Response: "<<std::setprecision(2)<<100*correction<<" %";
2279	>	TText* restitle = write_text(0.5,0.65,resstring.str());
2280		restitle->SetTextAlign(12);
2281		restitle->SetTextSize(0.03);
2282		restitle->Draw();
2283	<	CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_Data");
2284	<
2285	<	TH2F *niceresponseplotm = new TH2F("niceresponseplotm","",100,0,600,100,0,5);
2286	<	(allsamples.collection)[allsamples.FindSample("DY")[0]].events->Draw("sumJetPt[1]/pt:pt>>niceresponseplotm",zptforresponsepresentation);
2287	<	niceresponseplotm->SetStats(0);
2288	<	niceresponseplotm->GetXaxis()->SetTitle("Z p_{T} [GeV]");
2289	<	niceresponseplotm->GetYaxis()->SetTitle("Response");
2103	<	niceresponseplotm->GetXaxis()->CenterTitle();
2104	<	niceresponseplotm->GetYaxis()->CenterTitle();
2105	<	niceresponseplotm->Draw("COLZ");
2106	<	(allsamples.collection)[allsamples.FindSample("DY")[0]].events->Draw("sumJetPt[1]/pt:pt",zptforresponsepresentation,"PROF,same");
2107	<	TProfile * profm = (TProfile*)niceresponseplotm->ProfileX();
2108	<	profm->SetMarkerSize(DataMarkerSize);
2109	<	profm->Fit("pol0","","same,e1",30,400);
2110	<	DrawMCPrelim();
2111	<	title = write_text(0.5,0.7,"MC simulation");
2112	<	title->SetTextAlign(12);
2113	<	title->Draw();
2114	<	TF1 mcpol=(TF1)profm->GetFunction("pol0");
2115	<	float mccorrection=mcpol->GetParameter(0);
2116	<	stringstream mcresstring;
2117	<	mcresstring<<"Response: "<<std::setprecision(2)<<100*mccorrection<<" %";
2118	<	TText* mcrestitle = write_text(0.5,0.65,mcresstring.str());
2119	<	mcrestitle->SetTextAlign(12);
2120	<	mcrestitle->SetTextSize(0.03);
2121	<	mcrestitle->Draw();
2122	<	CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_MC");
2283	>	CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_New_"+SaveAs);
2284	>	delete cancorr;
2285	>	delete niceresponseplotd;
2286	>	return correction;
2287	>	}
2288	>
2289	>	void find_correction_factors(string &jzbvardata,string &jzbvarmc) {
2290
2291	+	dout << "Computing response corrections: " << endl;
2292	+	//Step 1 : Get results
2293	+	float datacorrection=find_one_correction_factor("Data",true,"","Data");
2294	+	float mccorrection=find_one_correction_factor("DY",false,"","MC");
2295	+
2296	+	float dataEEcorrection=find_one_correction_factor("Data",true,"id1==0","Data_ee");
2297	+	float mcEEcorrection=find_one_correction_factor("DY",false,"id1==0","MC_ee");
2298	+
2299	+	float dataMMcorrection=find_one_correction_factor("Data",true,"id1==1","Data_mm");
2300	+	float mcMMcorrection=find_one_correction_factor("DY",false,"id1==1","MC_mm");
2301	+
2302	+	cout << "Corrections : " << endl;
2303	+	cout << " Data : " << datacorrection << endl;
2304	+	cout << " ee (" << dataEEcorrection << ") , mm (" << dataMMcorrection << ")" << endl;
2305	+	cout << " MC : " << mccorrection << endl;
2306	+	cout << " ee (" << mcEEcorrection << ") , mm (" << mcMMcorrection << ")" << endl;
2307
2308	<	//Step 2: Getting the result
2126	<	// TCut zptcutforresponse("pt>30&&pt<300&&TMath::Abs(91.2-mll)<20&&id1==id2&&(ch1*ch2<0)");
2308	>	//Step 2: Processing the result and making it into something useful :-)
2309		stringstream jzbvardatas;
2310	<	if(datacorrection>1) jzbvardatas<<"(jzb[1]-"<<datacorrection-1<<"*pt)";
2311	<	if(datacorrection<1) jzbvardatas<<"(jzb[1]+"<<1-datacorrection<<"*pt)";
2310	>	jzbvardatas << "(";
2311	>
2312	>	if(dataEEcorrection>=1) jzbvardatas<<"((id1==0&&id1==id2)(jzb[1]-" << dataEEcorrection-1 << "pt))";
2313	>	if(dataEEcorrection<1) jzbvardatas<<"((id1==0&&id1==id2)(jzb[1]+" << 1-dataEEcorrection << "pt))";
2314	>
2315	>	if(dataMMcorrection>=1) jzbvardatas<<"+((id1==1&&id1==id2)(jzb[1]-" << dataMMcorrection-1 << "pt))";
2316	>	if(dataMMcorrection<1) jzbvardatas<<"+((id1==1&&id1==id2)(jzb[1]+" << 1-dataMMcorrection << "pt))";
2317	>
2318	>	float averagecorrection=(dataMMcorrection+dataEEcorrection)/2.0;
2319	>
2320	>	if(datacorrection>=1) jzbvardatas<<"+((id1!=id2)(jzb[1]-" << datacorrection-1 << "pt))";
2321	>	if(datacorrection<1) jzbvardatas<<"+((id1!=id2)(jzb[1]+" << 1-datacorrection << "pt))";
2322	>
2323	>	jzbvardatas << ")";
2324		jzbvardata=jzbvardatas.str();
2325	+
2326		stringstream jzbvarmcs;
2327	<	if(mccorrection>1) jzbvarmcs<<"(jzb[1]-"<<mccorrection-1<<"*pt)";
2328	<	if(mccorrection<1) jzbvarmcs<<"(jzb[1]+"<<1-mccorrection<<"*pt)";
2327	>	jzbvarmcs << "(";
2328	>
2329	>	if(mcEEcorrection>=1) jzbvarmcs<<"((id1==0&&id1==id2)(jzb[1]-" << mcEEcorrection-1 << "pt))";
2330	>	if(mcEEcorrection<1) jzbvarmcs<<"((id1==0&&id1==id2)(jzb[1]+" << 1-mcEEcorrection << "pt))";
2331	>
2332	>	if(mcMMcorrection>=1) jzbvarmcs<<"+((id1==1&&id1==id2)(jzb[1]-" << mcMMcorrection-1 << "pt))";
2333	>	if(mcMMcorrection<1) jzbvarmcs<<"+((id1==1&&id1==id2)(jzb[1]+" << 1-mcMMcorrection << "pt))";
2334	>
2335	>	float averagemccorrection=(mcMMcorrection+mcEEcorrection)/2.0;
2336	>
2337	>	if(mccorrection>=1) jzbvarmcs<<"+((id1!=id2)(jzb[1]-" << mccorrection-1 << "pt))";
2338	>	if(mccorrection<1) jzbvarmcs<<"+((id1!=id2)(jzb[1]+" << 1-mccorrection << "pt))";
2339	>
2340	>	jzbvarmcs << ")";
2341		jzbvarmc=jzbvarmcs.str();
2342	+
2343		dout << "JZB Z pt correction summary : " << endl;
2344		dout << " Data: The response is " << datacorrection << " --> jzb variable is now : " << jzbvardata << endl;
2345		dout << " MC : The response is " << mccorrection << " --> jzb variable is now : " << jzbvarmc << endl;
2346	+
2347		}
2348
2349		void pick_up_events(string cut) {
#	Line 2142 \| Line 2351 \| void pick_up_events(string cut) {
2351		allsamples.PickUpEvents(cut);
2352		}
2353
2354	<	void save_template(string mcjzb, string datajzb,vector<float> jzb_cuts,float MCPeakError,float DataPeakError) {
2354	>	void save_template(string mcjzb, string datajzb,vector<float> jzb_cuts,float MCPeakError,float DataPeakError, vector<float> jzb_shape_limit_bins) {
2355		dout << "Saving configuration template!" << endl;
2356		ofstream configfile;
2357		configfile.open("../DistributedModelCalculations/last_configuration.C");
#	Line 2162 \| Line 2371 \| void save_template(string mcjzb, string
2371		configfile<<"string datajzb=\"datajzb_ERROR\";\n";
2372		configfile<<"string mcjzb=\"mcjzb_ERROR\";\n";
2373		configfile<<"vector<float>jzb_cuts;\n";
2374	+	configfile<<"vector<float>jzb_shape_limit_bins;\n";
2375		configfile<<"float MCPeakError=-999;\n";
2376		configfile<<"float DataPeakError=-999;\n";
2377		configfile<<"}\n\n";
#	Line 2171 \| Line 2381 \| void save_template(string mcjzb, string
2381		configfile<<"mcjzb=\""<<mcjzb<<"\";\n\n";
2382		configfile<<"\n\nMCPeakError="<<MCPeakError<<";\n";
2383		configfile<<"DataPeakError="<<DataPeakError<<";\n\n";
2384	<	for(int i=0;i<jzb_cuts.size();i++) configfile<<"jzb_cuts.push_back("<<jzb_cuts[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2384	>	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";
2385	>	configfile<<"\n\n";
2386	>	for(int i=0;i<(int)Nobs.size();i++) configfile<<"Nobs.push_back("<<Nobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2387	>	for(int i=0;i<(int)Npred.size();i++) configfile<<"Npred.push_back("<<Npred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2388	>	for(int i=0;i<(int)Nprederr.size();i++) configfile<<"Nprederr.push_back("<<Nprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2389		configfile<<"\n\n";
2390	<	for(int i=0;i<Nobs.size();i++) configfile<<"Nobs.push_back("<<Nobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2391	<	for(int i=0;i<Npred.size();i++) configfile<<"Npred.push_back("<<Npred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2392	<	for(int i=0;i<Nprederr.size();i++) configfile<<"Nprederr.push_back("<<Nprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2390	>	for(int i=0;i<(int)flippedNobs.size();i++) configfile<<"flippedNobs.push_back("<<flippedNobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2391	>	for(int i=0;i<(int)flippedNpred.size();i++) configfile<<"flippedNpred.push_back("<<flippedNpred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2392	>	for(int i=0;i<(int)flippedNprederr.size();i++) configfile<<"flippedNprederr.push_back("<<flippedNprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2393	>	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";
2394		configfile<<"\n\n";
2180	–	for(int i=0;i<flippedNobs.size();i++) configfile<<"flippedNobs.push_back("<<flippedNobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2181	–	for(int i=0;i<flippedNpred.size();i++) configfile<<"flippedNpred.push_back("<<flippedNpred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2182	–	for(int i=0;i<flippedNprederr.size();i++) configfile<<"flippedNprederr.push_back("<<flippedNprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2395		configfile<<"\n\n";
2396		configfile<<"luminosity="<<luminosity<<";\n";
2397		configfile<<"RestrictToMassPeak="<<RestrictToMassPeak<<";//defines the type of analysis we're running\n";
#	Line 2205 \| Line 2417 \| *void draw_all_ttbar_histos(TCanvas can,**
2417		float max=histos[0]->GetMaximum();
2418		if(manualmin>=0) min=manualmin;
2419		else {
2420	<	for(int i=1;i<histos.size();i++) {
2420	>	for(int i=1;i<(int)histos.size();i++) {
2421		float curmin=get_nonzero_minimum(histos[i]);
2422		float curmax=histos[i]->GetMaximum();
2423		if(curmin<min) min=curmin;
#	Line 2216 \| Line 2428 \| *void draw_all_ttbar_histos(TCanvas can,**
2428		histos[0]->Draw(drawoption.c_str());
2429		stringstream drawopt;
2430		drawopt << drawoption << ",same";
2431	<	for(int i=1;i<histos.size();i++) {
2431	>	for(int i=1;i<(int)histos.size();i++) {
2432		histos[i]->Draw(drawopt.str().c_str());
2433		}
2434		}
#	Line 2225 \| Line 2437 \| void ttbar_sidebands_comparison(string m
2437		//in the case of the on peak analysis, we compare the 3 control regions to the real value
2438		//in the case of the OFF peak analysis, we compare our control region to the real value
2439		TCut weightbackup=cutWeight;
2228	–	cutWeight="1.0";
2229	–	float simulatedlumi = luminosity; //in pb please - adjust to your likings
2440
2441	+	bool doPURW=false;
2442	+
2443	+
2444	+	if(!doPURW) {
2445	+	cutWeight="1.0";
2446	+	// Do it without PU re-weighting
2447	+	float MCPeakNoPU=0,MCPeakErrorNoPU=0,DataPeakNoPU=0,DataPeakErrorNoPU=0,MCSigma=0,DataSigma=0;
2448	+	stringstream resultsNoPU;
2449	+	stringstream noPUdatajzb;
2450	+	stringstream noPUmcjzb;
2451	+
2452	+	stringstream mcjzbnoPU;
2453	+	find_peaks(MCPeakNoPU,MCPeakErrorNoPU, DataPeakNoPU, DataPeakErrorNoPU,resultsNoPU,true,noPUdatajzb,noPUmcjzb);
2454	+	mcjzb = noPUmcjzb.str();
2455	+	}
2456	+
2457	+
2458	+
2459	+
2460	+
2461	+
2462	+	float simulatedlumi = luminosity; //in pb please - adjust to your likings
2463
2464		TH1F *TZem = systsamples.Draw("TZem",mcjzb,binning,"JZB [GeV]","events",cutmass&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2465		TH1F *nTZem = systsamples.Draw("nTZem","-"+mcjzb,binning,"JZB [GeV]","events",cutmass&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
#	Line 2265 \| Line 2497 \| void ttbar_sidebands_comparison(string m
2497		}
2498
2499		vector<TH1F*> histos;
2500	+	TZem->GetXaxis()->SetRangeUser(-100,binning[binning.size()-1]);
2501	+	TZeemm->GetXaxis()->SetRangeUser(-100,binning[binning.size()-1]);
2502		histos.push_back(TZem);
2503		histos.push_back(TZeemm);
2504		if(PlottingSetup::RestrictToMassPeak) {
2505	+	TSeemm->GetXaxis()->SetRangeUser(-100,binning[binning.size()-1]);
2506	+	TSem->GetXaxis()->SetRangeUser(-100,binning[binning.size()-1]);
2507		histos.push_back(TSem);
2508		histos.push_back(TSeemm);
2509		}
#	Line 2283 \| Line 2519 \| void ttbar_sidebands_comparison(string m
2519		leg->Draw("same");
2520		DrawMCPrelim(simulatedlumi);
2521		CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_shape_comparison");
2286	–	cout << __LINE__ << endl;
2522		TH1F TZemcopy = (TH1F)TZem->Clone("TZemcopy");
2288	–	cout << __LINE__ << endl;
2523		TH1F TZeemmcopy = (TH1F)TZeemm->Clone("TZeemmcopy");
2290	–	cout << __LINE__ << endl;
2524		TH1F *TSeemmcopy;
2525		TH1F *TSemcopy;
2526		if(PlottingSetup::RestrictToMassPeak) {
#	Line 2313 \| Line 2546 \| cout << __LINE__ << endl;
2546		TSeemm->Draw("same");
2547		}
2548
2549	<	float linepos=0.25;
2550	<	if(PlottingSetup::RestrictToMassPeak) linepos=0.25;
2551	<	if(!PlottingSetup::RestrictToMassPeak) linepos=0.1; //sys uncertainty for iJZB
2549	>	float linepos=emuncertONPEAK;
2550	>	if(!PlottingSetup::RestrictToMassPeak) linepos=emuncertOFFPEAK;
2551	>
2552		TLine *top = new TLine(binning[0],1.0+linepos,binning[binning.size()-1],1.0+linepos);
2553		TLine *center = new TLine(binning[0],1.0,binning[binning.size()-1],1.0);
2554		TLine *bottom = new TLine(binning[0],1.0-linepos,binning[binning.size()-1],1.0-linepos);
#	Line 2397 \| Line 2630 \| cout << __LINE__ << endl;
2630		tcan->SetLogy(0);
2631		rightofzp->Divide(rightsfzp);
2632		rightofzp->GetXaxis()->SetRangeUser(0.0,binning[binning.size()-1]);
2633	<	rightofzp->GetYaxis()->SetRangeUser(0.0,2.0);
2633	>	rightofzp->GetYaxis()->SetRangeUser(0.0,2.5);
2634		rightofzp->GetYaxis()->SetTitle("#deltaJZB ratio");
2635		rightofzp->Draw();
2636		if(PlottingSetup::RestrictToMassPeak) {
#	Line 2457 \| Line 2690 \| cout << __LINE__ << endl;
2690
2691		void ttbar_sidebands_comparison(string mcjzb, vector<float> jzb_binning) {
2692		vector<float> nicer_binning;
2693	<	nicer_binning.push_back(-125);
2693	>
2694	>	/* nicer_binning.push_back(-400);
2695	>	nicer_binning.push_back(-250);
2696	>	nicer_binning.push_back(-200);
2697	>	nicer_binning.push_back(-150);
2698	>	nicer_binning.push_back(-100);
2699	>	nicer_binning.push_back(-50);
2700	>	nicer_binning.push_back(-20);
2701	>
2702	>	nicer_binning.push_back(0);
2703	>	nicer_binning.push_back(20);
2704	>	nicer_binning.push_back(50);
2705	>	nicer_binning.push_back(100);
2706	>	nicer_binning.push_back(150);
2707	>	nicer_binning.push_back(200);
2708	>	nicer_binning.push_back(250);
2709	>	nicer_binning.push_back(400);*/
2710	>
2711		nicer_binning.push_back(-100);
2462	–	nicer_binning.push_back(-75);
2712		nicer_binning.push_back(-50);
2713		nicer_binning.push_back(-25);
2714		nicer_binning.push_back(0);
#	Line 2474 \| Line 2723 \| void ttbar_sidebands_comparison(string m
2723		nicer_binning.push_back(230);
2724		nicer_binning.push_back(280);
2725		nicer_binning.push_back(400);
2726	+
2727		ttbar_sidebands_comparison(mcjzb,nicer_binning, "ttbar/");
2728		}
2729
2730
2731	<	void zjets_prediction_comparison() {
2732	<	// Do it without PU re-weighting
2733	<	float MCPeakNoPU=0,MCPeakErrorNoPU=0,DataPeakNoPU=0,DataPeakErrorNoPU=0,MCSigma=0,DataSigma=0;
2734	<	stringstream resultsNoPU;
2735	<
2736	<	stringstream mcjzbnoPU;
2737	<	find_peaks(MCPeakNoPU,MCPeakErrorNoPU, DataPeakNoPU, DataPeakErrorNoPU,MCSigma,DataSigma,resultsNoPU,false);
2738	<	if(MCPeakNoPU>0) mcjzbnoPU<<"("<<jzbvariablemc<<"-"<<TMath::Abs(MCPeakNoPU)<<")";
2739	<	else mcjzbnoPU<<"("<<jzbvariablemc<<"+"<<TMath::Abs(MCPeakNoPU)<<")";
2731	>	void zjets_prediction_comparison(string mcjzbWithPUa) {
2732	>	TCanvas *zcan = new TCanvas("zcan","zcan");
2733	>	// zcan->SetLogy(1);
2734	>	TCut weightbackup=cutWeight;
2735	>
2736	>	bool UsePURW=false;
2737	>
2738	>
2739	>	string mcjzb;
2740	>	if(UsePURW) {
2741	>	mcjzb=mcjzbWithPUa;
2742	>	} else {
2743	>	// Do it without PU re-weighting
2744	>	float MCPeakNoPU=0,MCPeakErrorNoPU=0,DataPeakNoPU=0,DataPeakErrorNoPU=0,MCSigma=0,DataSigma=0;
2745	>	stringstream resultsNoPU;
2746	>	stringstream noPUdatajzb;
2747	>	stringstream noPUmcjzb;
2748	>
2749	>	find_peaks(MCPeakNoPU,MCPeakErrorNoPU, DataPeakNoPU, DataPeakErrorNoPU,resultsNoPU,false,noPUdatajzb,noPUmcjzb);
2750	>	dout << "The peak corrected JZB expression for MC without pileup is : " << noPUmcjzb.str() << endl;
2751	>
2752	>	mcjzb = noPUmcjzb.str();
2753	>
2754	>	cutWeight="1.0";
2755	>	}
2756
2757	<	string mcjzb = mcjzbnoPU.str();
2758	<	dout << "The peak corrected JZB expression for MC without pileup is : " << mcjzb << endl;
2757	>
2758	>	vector<float> binning;
2759	>	binning.push_back(0);
2760	>	binning.push_back(10);
2761	>	binning.push_back(20);
2762	>	// binning.push_back(30);
2763	>	binning.push_back(40);
2764	>	// binning.push_back(50);
2765	>	// binning.push_back(60);
2766	>	// binning.push_back(70);
2767	>	// binning.push_back(80);
2768	>	// binning.push_back(90);
2769	>	binning.push_back(100);
2770
2494	–	TCut weightbackup=cutWeight;
2495	–	cutWeight="1.0";
2496	–	float sbg_min=0.;
2497	–	float sbg_max=100.;
2498	–	int sbg_nbins=5;
2771		float simulatedlumi = luminosity;//in pb please - adjust to your likings
2772
2773		TCut kPos((mcjzb+">0").c_str());
2774		TCut kNeg((mcjzb+"<0").c_str());
2775		string var( "abs("+mcjzb+")" );
2776	+
2777	+	TCut notTau("abs(genMID1)!=15");
2778	+	TCut ONLYTau("mll>20");
2779	+
2780
2781	<	TCut kcut(cutmass&&cutOSSF&&"pfJetGoodNum>2");
2782	<	TH1F *hJZBpos = systsamples.Draw("hJZBpos",var,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",
2783	<	kcut&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
2508	<	TH1F *hJZBneg = systsamples.Draw("hJZBneg",var,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",
2509	<	kcut&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
2781	>	TH1F *hJZBpos = systsamples.Draw("hJZBpos",var,binning, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets&&notTau&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
2782	>	TH1F *hJZBneg = systsamples.Draw("hJZBneg",var,binning, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets&&notTau&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
2783	>
2784		hJZBpos->SetLineColor(kBlack);
2785		hJZBneg->SetLineColor(kRed);
2786
2787	<	Int_t nbins = 5;
2514	<	Float_t xmax = 100.;
2515	<
2516	<
2517	<	TCanvas *zcan = new TCanvas("zcan","zcan");
2518	<	zcan->SetLogy(1);
2519	<
2787	>	hJZBpos->SetMinimum(1.0);
2788		hJZBpos->Draw("e1");
2789		hJZBneg->Draw("same,hist");
2790		hJZBpos->Draw("same,e1"); // So it's on top...
2791
2792	<	TLegend *leg = make_legend("MC Z+jets",0.55,0.75,false);
2792	>	TLegend *leg = make_legend("MC Z+jets #rightarrow ee,#mu#mu",0.55,0.75,false);
2793		leg->AddEntry(hJZBpos,"Observed","pe");
2794		leg->AddEntry(hJZBneg,"Predicted","l");
2795		leg->Draw("same");
2796		DrawMCPrelim(simulatedlumi);
2797	<	CompleteSave(zcan,"Systematics/zjets_prediction");
2797	>	CompleteSave(zcan,"Systematics/ZJets/zjets_eemm_prediction");
2798
2799		TH1F* hratio = (TH1F*)hJZBpos->Clone("hratio");
2800		hratio->Divide(hJZBneg);
2801
2802	+	for(int i=1;i<=hJZBpos->GetNbinsX();i++) {
2803	+	cout << "Positive: " << hJZBpos->GetBinContent(i) << " vs Negative : " << hJZBneg->GetBinContent(i) << " (ratio : " << hJZBpos->GetBinContent(i) / hJZBneg->GetBinContent(i) << endl;
2804	+	}
2805	+
2806		zcan->SetLogy(0);
2807		hratio->GetYaxis()->SetRangeUser(0,2.5);
2808		hratio->GetYaxis()->SetTitle("Observed/Predicted");
2809		hratio->Draw("e1");
2810
2811	<	TLine *top = new TLine(sbg_min,1.25,sbg_max,1.25);
2812	<	TLine *center = new TLine(sbg_min,1.0,sbg_max,1.0);
2813	<	TLine *bottom = new TLine(sbg_min,0.75,sbg_max,0.75);
2811	>	TLine *top = new TLine(binning[0],1.25,binning[binning.size()-1],1.25);
2812	>	TLine *center = new TLine(binning[0],1.0,binning[binning.size()-1],1.0);
2813	>	TLine *bottom = new TLine(binning[0],0.75,binning[binning.size()-1],0.75);
2814
2815
2816		top->SetLineColor(kBlue);top->SetLineStyle(2);
#	Line 2549 \| Line 2821 \| void zjets_prediction_comparison() {
2821		center->Draw("same");
2822		bottom->Draw("same");
2823
2824	<	TLegend *leg2 = make_legend("MC Z+jets",0.25,0.75,false);
2824	>	TLegend *leg2 = make_legend("MC Z+jets #rightarrow ee,#mu#mu",0.25,0.75,false);
2825		leg2->AddEntry(hratio,"obs / pred","pe");
2826		leg2->AddEntry(bottom,"syst. envelope","l");
2827		leg2->Draw("same");
2828		DrawMCPrelim(simulatedlumi);
2829	<	CompleteSave(zcan,"Systematics/zjets_prediction_ratio");
2829	>	CompleteSave(zcan,"Systematics/ZJets/zjets_eemm_prediction_ratio");
2830	>
2831	>	TCut reducedNJets(cutnJets);
2832	>
2833	>	TH1F *TAUhJZBpos = systsamples.Draw("TAUhJZBpos",var,binning, "JZB [GeV]", "events",cutmass&&cutOSSF&&reducedNJets&&ONLYTau&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
2834	>	TH1F *LcorrJZBeemm = systsamples.Draw("LcorrJZBeemm",var,binning, "JZB [GeV]", "events",cutmass&&cutOSSF&&reducedNJets&&ONLYTau&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
2835	>	TH1F *RcorrJZBem = systsamples.Draw("RcorrJZBem",var,binning, "JZB [GeV]", "events",cutmass&&cutOSOF&&reducedNJets&&ONLYTau&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
2836	>	TH1F *LcorrJZBem = systsamples.Draw("LcorrJZBem",var,binning, "JZB [GeV]", "events",cutmass&&cutOSOF&&reducedNJets&&ONLYTau&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
2837	>
2838	>	TH1F *RcorrJZBSBem;
2839	>	TH1F *LcorrJZBSBem;
2840	>	TH1F *RcorrJZBSBeemm;
2841	>	TH1F *LcorrJZBSBeemm;
2842	>
2843	>	if(PlottingSetup::RestrictToMassPeak) {
2844	>	RcorrJZBSBem = systsamples.Draw("RcorrJZBSBem",var,binning, "JZB [GeV]", "events",sidebandcut&&cutOSOF&&reducedNJets&&ONLYTau&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
2845	>	LcorrJZBSBem = systsamples.Draw("LcorrJZBSBem",var,binning, "JZB [GeV]", "events",sidebandcut&&cutOSOF&&reducedNJets&&ONLYTau&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
2846	>	RcorrJZBSBeemm = systsamples.Draw("RcorrJZBSBeemm",var,binning, "JZB [GeV]", "events",sidebandcut&&cutOSSF&&reducedNJets&&ONLYTau&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
2847	>	LcorrJZBSBeemm = systsamples.Draw("LcorrJZBSBeemm",var,binning, "JZB [GeV]", "events",sidebandcut&&cutOSSF&&reducedNJets&&ONLYTau&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
2848	>	}
2849	>
2850	>	TH1F Bpred = (TH1F)LcorrJZBeemm->Clone("Bpred");
2851	>	if(PlottingSetup::RestrictToMassPeak) {
2852	>	Bpred->Add(RcorrJZBem,1.0/3.);
2853	>	Bpred->Add(LcorrJZBem,-1.0/3.);
2854	>	Bpred->Add(RcorrJZBSBem,1.0/3.);
2855	>	Bpred->Add(LcorrJZBSBem,-1.0/3.);
2856	>	Bpred->Add(RcorrJZBSBeemm,1.0/3.);
2857	>	Bpred->Add(LcorrJZBSBeemm,-1.0/3.);
2858	>	} else {
2859	>	Bpred->Add(RcorrJZBem,1.0);
2860	>	Bpred->Add(LcorrJZBem,-1.0);
2861	>	}
2862	>
2863	>	Bpred->SetLineColor(kRed);
2864	>
2865	>	TAUhJZBpos->SetLineColor(kBlack);
2866	>	Bpred->SetLineColor(kRed);
2867	>
2868	>	TAUhJZBpos->SetMinimum(1.0);
2869	>	TAUhJZBpos->Draw("e1");
2870	>	Bpred->Draw("same,hist");
2871	>	TAUhJZBpos->Draw("same,e1");
2872	>
2873	>	TLegend *TAUleg = make_legend("MC Z+jets #rightarrow ee,#mu#mu,#tau#tau",0.55,0.75,false);
2874	>	TAUleg->AddEntry(TAUhJZBpos,"Observed","pe");
2875	>	TAUleg->AddEntry(Bpred,"Predicted","l");
2876	>	TAUleg->Draw("same");
2877	>	DrawMCPrelim(simulatedlumi);
2878	>	CompleteSave(zcan,"Systematics/ZJets/zjets_eemumutautau_prediction");
2879	>
2880	>	TH1F* TAUhratio = (TH1F*)TAUhJZBpos->Clone("TAUhratio");
2881	>	TAUhratio->Divide(Bpred);
2882	>
2883	>	for(int i=1;i<=TAUhJZBpos->GetNbinsX();i++) {
2884	>	cout << "ee/mm/tautau observed: " << TAUhJZBpos->GetBinContent(i) << " vs predicted : " << Bpred->GetBinContent(i) << " (ratio : " << TAUhJZBpos->GetBinContent(i) / Bpred->GetBinContent(i) << endl;
2885	>	}
2886	>
2887	>	zcan->SetLogy(0);
2888	>	TAUhratio->GetYaxis()->SetRangeUser(0,2.5);
2889	>	TAUhratio->GetYaxis()->SetTitle("Observed/Predicted");
2890	>	TAUhratio->Draw("e1");
2891	>
2892	>	top->Draw("same");
2893	>	center->Draw("same");
2894	>	bottom->Draw("same");
2895	>
2896	>	TLegend *TAUleg2 = make_legend("MC Z+jets #rightarrow #tau#tau",0.25,0.75,false);
2897	>	TAUleg2->AddEntry(TAUhratio,"obs / pred","pe");
2898	>	TAUleg2->AddEntry(bottom,"syst. envelope","l");
2899	>	TAUleg2->Draw("same");
2900	>	DrawMCPrelim(simulatedlumi);
2901	>	CompleteSave(zcan,"Systematics/ZJets/zjets_eemumutautau_prediction_ratio");
2902	>
2903	>	delete Bpred;
2904	>	delete TAUhJZBpos;
2905	>	delete LcorrJZBeemm;
2906	>	delete RcorrJZBem;
2907	>	delete LcorrJZBem;
2908	>
2909	>	if(PlottingSetup::RestrictToMassPeak) {
2910	>	delete RcorrJZBSBem;
2911	>	delete LcorrJZBSBem;
2912	>	delete RcorrJZBSBeemm;
2913	>	delete LcorrJZBSBeemm;
2914	>	}
2915	>
2916
2917		delete zcan;
2918		cutWeight=weightbackup;
#	Line 2580 \| Line 2938 \| void sideband_assessment(string datajzb,
2938		tout << "\\begin{tabular}{l\|cc}" << endl;
2939		tout << "\\hline" << endl;
2940		tout << "& {\\OFZP} & {\\OFSB} \\\\\\hline" << endl;
2941	<	tout << "\\#(events) & "<<OFSB<<" & "<<OFZP<<"\\\\ \\hline" << endl;
2941	>	tout << "\\#(events) & "<<OFZP<<" & "<<OFSB<<"\\\\ \\hline" << endl;
2942		tout << "\\end{tabular}" << endl;
2943		tout << "\\end{center}" << endl;
2944		tout << "\\end{table}" << endl;
#	Line 2598 \| Line 2956 \| void make_table(samplecollection &coll,
2956
2957		TCanvas *cannie = new TCanvas("cannie","cannie");
2958
2959	<	for(int icut=0;icut<jzb_cuts.size();icut++) {
2959	>	for(int icut=0;icut<(int)jzb_cuts.size();icut++) {
2960		float currcut=jzb_cuts[icut];
2961		int nbins=1;float low=currcut;
2962		vector<int> mysample;
#	Line 2657 \| Line 3015 \| void make_table(samplecollection &coll,
3015		//prediction part
3016		if(is_data) cout << "Data prediction & ";
3017		if(subselection!="none") cout << subselection << " prediction &";
3018	<	for(int ij=0;ij<jzb_cuts.size();ij++) cout << jzbcutprediction[ij] << " vs " << metcutprediction[ij] << " & ";
3018	>	for(int ij=0;ij<(int)jzb_cuts.size();ij++) cout << jzbcutprediction[ij] << " vs " << metcutprediction[ij] << " & ";
3019
3020		cout << endl;
3021		//observation part
3022		if(is_data) cout << "Data observation & ";
3023		if(subselection!="none") cout << subselection << " observation &";
3024	<	for(int ij=0;ij<jzb_cuts.size();ij++) cout << jzbcutobservation[ij] << " vs " << metcutobservation[ij] << " & ";
3024	>	for(int ij=0;ij<(int)jzb_cuts.size();ij++) cout << jzbcutobservation[ij] << " vs " << metcutobservation[ij] << " & ";
3025		cout << endl;
3026		cout << "_________________________________________________________________" << endl;
3027		delete cannie;
#	Line 2724 \| Line 3082 \| *void JZBSelEff(string mcjzb, TTree even**
3082		leg->SetLineColor(kBlack);
3083		leg->SetTextFont(62);
3084
3085	<	for ( int icut=0; icut<jzb_bins.size(); ++icut ) {
3085	>	for ( int icut=0; icut<(int)jzb_bins.size(); ++icut ) {
3086
3087		ostringstream selection;
3088		selection << mcjzb << ">" << jzb_bins[icut];
#	Line 2776 \| Line 3134 \| *void JZBSelEff(string mcjzb, TTree even**
3134		// Calls the above function for each signal sample
3135		void plot_jzb_sel_eff(string mcjzb, samplecollection &signalsamples, vector<float> bins )
3136		{
3137	<	for (int isignal=0; isignal<signalsamples.collection.size();isignal++) {
3137	>	for (int isignal=0; isignal<(int)signalsamples.collection.size();isignal++) {
3138		dout << "JZB selection efficiency curve: " << std::endl;
3139		JZBSelEff(mcjzb,(signalsamples.collection)[isignal].events,(signalsamples.collection)[isignal].samplename,bins); // Only for some selected samples
3140		}
#	Line 2819 \| Line 3177 \| void qcd_plots(string datajzb, string mc
3177		TH1F *RcorrJZBSBeemm;
3178		TH1F *LcorrJZBSBeemm;
3179
3180	<	TH1F *RcorrJZBeemmNoS;
3180	>	// TH1F *RcorrJZBeemmNoS;
3181
3182		//these are for the ratio
3183		TH1F *JRcorrJZBeemm = qcdsamples.Draw("JRcorrJZBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
#	Line 2903 \| Line 3261 \| void qcd_plots(string datajzb, string mc
3261		//3rd last argument: do special bpred ratio, 2nd last argument: extended range!, last: y-axis title
3262		string ytitle("ratio");
3263		if ( use_data==1 ) ytitle = "data/pred";
3264	<	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,"QCD/Bpred",true,use_data!=1,ytitle);
3264	>	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,"QCD/Bpred",true,false,ytitle);
3265
3266		TH1F *allevents = qcdsamples.Draw("allevents","pfJetGoodNum",1,0,100, "internal code", "events", "" ,mc, luminosity);
3267		TH1F *ossf = qcdsamples.Draw("ossf","pfJetGoodNum",1,0,100, "internal code", "events", cutOSSF ,mc, luminosity);
#	Line 2950 \| Line 3308 \| void qcd_plots(string datajzb, string mc
3308		dout << " Observation increases by : " << RcorrJZBeemm->Integral() << endl;
3309
3310		dout << endl;
3311	<	for(int i=0;i<bins.size();i++) {
3311	>	for(int i=0;i<(int)bins.size();i++) {
3312		dout << " JZB > " << bins[i] << " : " << endl;
3313		dout << " Observation increases by : " << RcorrJZBeemm->Integral(RcorrJZBeemm->FindBin(bins[i]),RcorrJZBeemm->GetNbinsX()) << endl;
3314		if(PlottingSetup::RestrictToMassPeak) {
#	Line 2998 \| Line 3356 \| void check_ptsanity() {
3356		leg->SetY2(1.0);
3357
3358
3359	<	for(int isample=0;isample<allsamples.collection.size();isample++) {
3359	>	for(int isample=0;isample<(int)allsamples.collection.size();isample++) {
3360		string nowname=(allsamples.collection)[isample].filename;
3361		cout << "Drawing: " << nowname << " (sample " << isample+1 << " / " << allsamples.collection.size() << ")" << endl;
3362		individualpt1histos[isample] = allsamples.Draw(GetNumericHistoName(),"pt1",50,0,50, "p_{T,1}", "events",cutOSSF&&cutnJets,mc,luminosity,allsamples.FindSample(nowname));
#	Line 3022 \| Line 3380 \| void check_ptsanity() {
3380		ptsancan->cd(2);
3381		fpt2->Draw();
3382
3383	<	for(int isample=0;isample<allsamples.collection.size();isample++) {
3383	>	for(int isample=0;isample<(int)allsamples.collection.size();isample++) {
3384		ptsancan->cd(1);
3385		individualpt1histos[isample]->DrawNormalized("same,histo");
3386		ptsancan->cd(2);
#	Line 3038 \| Line 3396 \| void check_ptsanity() {
3396		void do_mlls_plot(string mcjzb) {
3397		cout << "At this point we'd plot the mll distribution" << endl;
3398		TCanvas *sigcan = new TCanvas("sigcan","sigcan");
3399	<	for(int isig=0;isig<(signalsamples.collection).size();isig++) {
3399	>	for(int isig=0;isig<(int)(signalsamples.collection).size();isig++) {
3400		if(!(signalsamples.collection)[isig].events) continue;
3401		string nowname=(signalsamples.collection)[isig].filename;
3402		TH1F *mll = signalsamples.Draw("mllhisto","mll",150,0,150, "m_{ll}", "events",cutOSSF&&cutnJets,mc,luminosity,signalsamples.FindSample(nowname));
#	Line 3077 \| Line 3435 \| void met_vs_jzb_plots() {
3435		findme.push_back("TTJets");
3436		findme.push_back("LM");
3437
3438	<	for(int ifind=0;ifind<findme.size();ifind++) {
3438	>	for(int ifind=0;ifind<(int)findme.size();ifind++) {
3439		vector<int> selsamples = allsamples.FindSample(findme[ifind]);
3440		TH2F *metvsjzb = new TH2F("metvsjzb","metvsjzb",200,0,100,400,-100,100);
3441	<	for(int isel=0;isel<selsamples.size();isel++) {
3441	>	for(int isel=0;isel<(int)selsamples.size();isel++) {
3442		cout << "Producing MET:JZB plot ... working on sample: " << allsamples.collection[selsamples[isel]].filename << endl;
3443		allsamples.collection[selsamples[isel]].events->Draw("jzb[1]:met[4]>>+metvsjzb",cutmass&&cutOSSF);
3444		}
#	Line 3103 \| Line 3461 \| void test() {
3461
3462		TCanvas *testcanv = new TCanvas("testcanv","testcanv");
3463		testcanv->cd();
3464	<	switch_overunderflow(true);
3464	>	// switch_overunderflow(true);
3465		TH1F *ptdistr = allsamples.Draw("ptdistr","pt1",100,30,200, "p_{T} [GeV]", "events", cutOSSF,data,luminosity);
3466		switch_overunderflow(false);
3467		ptdistr->Draw();

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Comparing UserCode/cbrown/Development/Plotting/Modules/Plotting_Functions.C (file contents): Revision 1.15 by buchmann, Wed Apr 18 13:04:08 2012 UTC vs. Revision 1.36 by buchmann, Thu Jul 12 12:55:02 2012 UTC

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Comparing UserCode/cbrown/Development/Plotting/Modules/Plotting_Functions.C (file contents):
Revision 1.15 by buchmann, Wed Apr 18 13:04:08 2012 UTC vs.
Revision 1.36 by buchmann, Thu Jul 12 12:55:02 2012 UTC