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

Comparing UserCode/cbrown/Development/Plotting/Modules/Plotting_Functions.C (file contents):
Revision 1.4 by buchmann, Fri Mar 2 08:37:03 2012 UTC vs.
Revision 1.36 by buchmann, Thu Jul 12 12:55:02 2012 UTC

#	Line 23 \| Line 23 \| using namespace PlottingSetup;
23		void todo() {
24		dout << "My to do list: " << endl;
25		dout << " - ExperimentalModule::Poisson_ratio_plot : Get the second part to work!" << endl;
26	+	dout << " - compare_onpeak_offpeak_signal_distributions: Implement this function ... " << endl;
27		dout << "Info : The trigger requirement is currently set to " << (const char*) passtrig << endl;
28		dout << "Info : The pt requirement is currently set to " << (const char*) passtrig << endl;
29		dout << "Info : The mll requirement is currently set to " << (const char*) cutmass << endl;
30		dout << "Info : The lepton requirement is currently set to " << (const char*) leptoncut << endl;
31	+	dout << "Info : The weight applied to all MC is " << (const char*) cutWeight << endl;
32		}
33
34	<	void find_peaks(float &MCPeak,float &MCPeakError, float &DataPeak, float &DataPeakError, float &MCSigma, float &DataSigma, stringstream &result, bool doPUreweighting = true )
34	>
35	>
36	>	void find_one_peak_combination(TCut specialcut, 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 54 \| 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 64 \| 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	+
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=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 << "(" << datajzb << ">" << jzbthreshold << ")";
167	+	TCut largerzeroD(largerzeroS.str().c_str());
168	+
169	+	stringstream smallerzeroS;
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;
190	+
191	+	if(PlottingSetup::RestrictToMassPeak) {
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");
199	+	if(PlottingSetup::RestrictToMassPeak) {
200	+	Bpred->Add(RcorrJZBem,1.0/3.);
201	+	Bpred->Add(LcorrJZBem,-1.0/3.);
202	+	Bpred->Add(RcorrJZBSBem,1.0/3.);
203	+	Bpred->Add(LcorrJZBSBem,-1.0/3.);
204	+	Bpred->Add(RcorrJZBSBeemm,1.0/3.);
205	+	Bpred->Add(LcorrJZBSBeemm,-1.0/3.);
206	+	} else {
207	+	Bpred->Add(RcorrJZBem,1.0);
208	+	Bpred->Add(LcorrJZBem,-1.0);
209	+	}
210	+
211	+	Bpred->SetLineColor(kRed);
212	+
213	+	RcorrJZBeemm->Draw();
214	+	mcRcorrJZBeemm.Draw("same");
215	+	Bpred->Draw("histo,same");
216	+	RcorrJZBeemm->Draw("same");
217	+
218	+	TLegend *leg = allsamples.allbglegend();
219	+	leg->SetX1(0.58);
220	+	leg->AddEntry(RcorrJZBeemm,"observed (data)","l");
221	+	leg->AddEntry(Bpred,"predicted (data)","l");
222	+	leg->Draw("same");
223	+
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;
248	+	delete RcorrJZBem;
249	+	delete LcorrJZBem;
250	+	if(PlottingSetup::RestrictToMassPeak) {
251	+	delete RcorrJZBSBeemm;
252	+	delete LcorrJZBSBeemm;
253	+	delete RcorrJZBSBem;
254	+	delete LcorrJZBSBem;
255	+	}
256	+	delete Bpred;
257	+	delete ckin;
258	+	}
259	+
260		void make_special_mll_plot(int nbins, float min, float max, bool logscale,string xlabel) {
261
262		TCanvas *ckin = new TCanvas("ckin","Kinematic Plots (in the making)",600,600);
#	Line 105 \| 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 124 \| 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 185 \| 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 196 \| 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(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;
392		if(filename=="mll_inclusive_ee") cut=cutOSSF&&"id1==0";
#	Line 211 \| 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);
217	–
407		datahisto->SetMaximum(5.3*datahisto->GetMaximum());
408		datahisto->Draw("e1");
409		ckin->Update();
#	Line 294 \| Line 483 \| void make_kin_plot(string variable, stri
483		delete ckin;
484		}
485
297	–
486		void make_JES_plot() {
487
488		int nbins=10;
#	Line 309 \| 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 346 \| 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=30;
541	<	mll_hi=180;
540	>	mll_low=20;
541	>	mll_hi=210;
542		}
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 359 \| 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);
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("jetpt[0]","",40,0,200,dolog,"leading jet p_{T} [GeV]","pfJetGoodPt_0",doPF);
555	<	make_kin_plot("jeteta[0]","",40,-5,5,nolog,"leading jet #eta","pfJetGoodEta_0",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);
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);
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,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,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 407 \| 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 441 \| 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 483 \| Line 700 \| void signal_bg_comparison()
700		float simulatedlumi=luminosity;//in pb please - adjust to your likings
701
702		TH1F *JZBplotZJETs = allsamples.Draw("JZBplotZJETs",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("/DY"));
703	<	TH1F *JZBplotLM4 = allsamples.Draw("JZBplotLM4",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("LM4"));
703	>	TH1F *JZBplotLM4;
704	>	if(PlottingSetup::RestrictToMassPeak) JZBplotLM4 = allsamples.Draw("JZBplotLM4",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("LM4"));
705	>	else JZBplotLM4 = allsamples.Draw("JZBplotLM4",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("LM3"));
706		TH1F *JZBplotTtbar = allsamples.Draw("JZBplotTtbar",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("TTJets"));
707
708		JZBplotTtbar->SetLineColor(allsamples.GetColor("TTJet"));
#	Line 507 \| Line 726 \| void signal_bg_comparison()
726		TLegend *signal_bg_comparison_leg2 = make_legend("",0.55,0.75,false);
727		signal_bg_comparison_leg2->AddEntry(JZBplotZJETs,"Z+Jets","f");
728		signal_bg_comparison_leg2->AddEntry(JZBplotTtbar,"t#bar{t}","f");
729	<	signal_bg_comparison_leg2->AddEntry(JZBplotLM4,"LM4","f");
729	>	if(PlottingSetup::RestrictToMassPeak) signal_bg_comparison_leg2->AddEntry(JZBplotLM4,"LM4","f");
730	>	else signal_bg_comparison_leg2->AddEntry(JZBplotLM4,"LM3","f");
731		signal_bg_comparison_leg2->Draw();
732		DrawMCPrelim(simulatedlumi);
733		CompleteSave(can,"jzb_bg_vs_signal_distribution");
#	Line 749 \| 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 )
972	>	void do_prediction_plot(string jzb, TCanvas *globalcanvas, float high, int use_data, bool overlay_signal = false,string subdir="" )
973		{
974	+	// switch_overunderflow(true);
975		bool is_data=false;
976		bool use_signal=false;
977		if(use_data==1) is_data=true;
#	Line 759 \| Line 980 \| void do_prediction_plot(string jzb, TCan
980		if(is_data) nbins=50;
981		float low=0;
982		float hi=500;
983	+
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,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());
992		blankback->GetXaxis()->CenterTitle();
#	Line 778 \| Line 1001 \| void do_prediction_plot(string jzb, TCan
1001		TH1F *RcorrJZBeemmNoS;
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,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);
#	Line 796 \| Line 1020 \| void do_prediction_plot(string jzb, TCan
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	<
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,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);
805	–
1029		}
1030
1031		TH1F *lm4RcorrJZBeemm;
1032	<	if(overlay_signal \|\| use_data == 2 ) lm4RcorrJZBeemm = allsamples.Draw("lm4RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,allsamples.FindSample("LM4"));
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 815 \| 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 837 \| 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 846 \| 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 893 \| Line 1137 \| void do_prediction_plot(string jzb, TCan
1137		blankback->Draw();
1138		if(use_data==1)
1139		{
1140	+	//Bpred->SetLineWidth(3); //paper style.overruled.
1141	+	//lm4RcorrJZBeemm->SetLineWidth(3); //paper style.overruled.
1142		analytical_function = do_extended_fit_to_plot(Bpred,Tpred,LcorrJZBeemm,LcorrJZBem,is_data);
1143		kinpad->cd();//necessary because the extended fit function creates its own canvas
1144		RcorrJZBeemm->Draw("e1x0,same");
1145
1146		Bpred->Draw("hist,same");
1147	<	analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1147	>	//analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1148		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
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
1158		//this plot shows what the prediction is composed of
1159	<	TCanvas *specialcanv = new TCanvas("specialcanv","specialcanv");
1160	<	specialcanv->SetLogy(1);
1161	<	Zjetspred->SetFillColor(kYellow);
1162	<	Zjetspred->SetLineColor(kYellow);
1163	<	TTbarpred->SetFillColor(allsamples.GetColor((allsamples.FindSample("TTJets"))[0]));
1164	<	TTbarpred->SetLineColor(allsamples.GetColor((allsamples.FindSample("TTJets"))[0]));
1159	>	TPad *predcomppad = new TPad("predcomppad","predcomppad",0,0,1,1);
1160	>	float CurrentBpredLineWidth=Bpred->GetLineWidth();
1161	>	Bpred->SetLineWidth(2);
1162	>	predcomppad->cd();
1163	>	predcomppad->SetLogy(1);
1164	>
1165	>	TH1F jzbnegative = (TH1F)LcorrJZBeemm->Clone("jzbnegative");
1166	>	TH1F sidebandsemu = (TH1F)Bpred->Clone("sidebandsemu");
1167	>	sidebandsemu->Add(jzbnegative,-1);
1168	>
1169	>	jzbnegative->SetFillColor(allsamples.GetColor((allsamples.FindSample("DY"))[0]));
1170	>	jzbnegative->SetLineColor(allsamples.GetColor((allsamples.FindSample("DY"))[0]));
1171	>	sidebandsemu->SetLineColor(allsamples.GetColor((allsamples.FindSample("TTJets"))[0]));
1172	>	sidebandsemu->SetFillColor(allsamples.GetColor((allsamples.FindSample("TTJets"))[0]));
1173	>
1174		THStack predcomposition("predcomposition","prediction composition");
1175	<	predcomposition.Add(TTbarpred);
1176	<	predcomposition.Add(Zjetspred);
1175	>	predcomposition.Add(sidebandsemu);
1176	>	predcomposition.Add(jzbnegative);
1177		blankback->Draw();
1178		RcorrJZBeemm->Draw("e1x0,same");
1179		predcomposition.Draw("histo,same");//
1180		Bpred->Draw("hist,same");
1181	<	analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1181	>	// analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1182		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1183	<	legBpred->Draw();
1183	>	// lm4RcorrJZBeemm->SetLineColor(kOrange+1);
1184	>	lm4RcorrJZBeemm->SetLineWidth(2);
1185	>	//lm4RcorrJZBeemm->SetLineWidth(2); // paper style. overruled.
1186	>	lm4RcorrJZBeemm->Draw("histo,same");
1187		DrawPrelim();
1188	<	TLegend *specialleg = new TLegend(0.6,0.4,0.89,0.55);
1189	<	specialleg->SetFillColor(kWhite);specialleg->SetLineColor(kWhite);
1190	<	specialleg->AddEntry(Zjetspred,"Z+Jets prediction","f");
1191	<	specialleg->AddEntry(TTbarpred,"t#bar{t} prediction","f");
1192	<	specialleg->Draw("same");
1193	<	CompleteSave(specialcanv,"Bpred_Data_____PredictionComposition");
1194	<
1195	<	THStack kostack = allsamples.DrawStack("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,!is_data, luminosity,use_signal);
1188	>	TLegend *speciallegBpred = make_legend("",0.45,0.55);
1189	>	//TLegend *speciallegBpred = make_legend("",0.35,0.55); // paper style. overruled.
1190	>	speciallegBpred->AddEntry(RcorrJZBeemm,"Data","pl");
1191	>	speciallegBpred->AddEntry(Bpred,"Total background","l");
1192	>	speciallegBpred->AddEntry(jzbnegative,"JZB<0 (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,true,"data/pred",BpredSys);
1199	>
1200	>	TCanvas *specialcanv = new TCanvas("specialcanv","specialcanv");
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,"Bpred_Data_____PredictionCompositioninMC");
1211	>	CompleteSave(specialcanv,subdir+"Bpred_Data_____PredictionCompositioninMC");
1212	>	Bpred->SetLineWidth((int)CurrentBpredLineWidth);
1213	>
1214
1215	<	delete specialcanv;
1216	<	delete specialleg;
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;
1220
#	Line 952 \| Line 1222 \| void do_prediction_plot(string jzb, TCan
1222		}
1223		if(use_data==0) {
1224		RcorrJZBeemm->Draw("e1x0,same");
1225	+	//Bpred->SetLineWidth(3); // paper style. overruled.
1226		Bpred->Draw("hist,same");
1227		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1228	<	legBpred->AddEntry(RcorrJZBeemm,"MC observed","p");
1229	<	legBpred->AddEntry(Bpred,"MC predicted","l");
1228	>	legBpred->AddEntry(RcorrJZBeemm,"MC true","p");
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 966 \| Line 1237 \| void do_prediction_plot(string jzb, TCan
1237		}
1238		if(use_data==2) {
1239		RcorrJZBeemm->Draw("e1x0,same");
1240	+	//Bpred->SetLineWidth(3); // paper style. overruled.
1241		Bpred->Draw("hist,same");
1242		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1243	<	legBpred->AddEntry(RcorrJZBeemm,"MC observed","p");
1243	>	legBpred->AddEntry(RcorrJZBeemm,"MC true","p");
1244		legBpred->AddEntry(Bpred,"MC predicted","l");
1245	<	legBpred2->AddEntry(RcorrJZBeemm,"MC observed","p");
1245	>	legBpred2->AddEntry(RcorrJZBeemm,"MC true","p");
1246		legBpred2->AddEntry(Bpred,"MC predicted","l");
1247		{
1248		if(versok) legBpred->AddEntry((TObject*)0,"",""); // Just for alignment // causes seg fault on root v5.18 --> now only allowed for root >=v5.30
#	Line 981 \| Line 1253 \| void do_prediction_plot(string jzb, TCan
1253		// CompleteSave(globalcanvas,"Bpred_MCwithS"); // done below in save_with_ratio
1254		}
1255		{
1256	+	//lm4RcorrJZBeemm->SetLineWidth(3); //paper style. overruled.
1257	+	//RcorrJZBeemmNoS->SetLineWidth(3); //paper style. overruled.
1258	+	//lm4RcorrJZBeemm->SetLineStyle(2); //paper style. overruled.
1259	+	//RcorrJZBeemmNoS->SetLineStyle(3); //paper style. overruled.
1260	+	//lm4RcorrJZBeemm->SetLineColor(kOrange+1); //paper style. overruled.
1261	+
1262		RcorrJZBeemmNoS->SetLineStyle(2);
1263		legBpred2->AddEntry(RcorrJZBeemmNoS,"MC B","l");
1264		legBpred2->AddEntry(lm4RcorrJZBeemm,"MC S","l");
#	Line 999 \| Line 1277 \| void do_prediction_plot(string jzb, TCan
1277		//3rd last argument: do special bpred ratio, 2nd last argument: extended range!, last: y-axis title
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);
1280	>	//save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,Bpredsaveas,true,use_data!=1,ytitle);
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!)
1286	<	if(!PlottingSetup::RestrictToMassPeak) return;
1287	<	TH1F Bpredem = (TH1F)LcorrJZBeemm->Clone("Bpredem");
1288	<	Bpredem->Add(RcorrJZBem);
1289	<	Bpredem->Add(LcorrJZBem,-1);
1290	<	TH1F BpredSBem = (TH1F)LcorrJZBeemm->Clone("BpredSBem");
1291	<	BpredSBem->Add(RcorrJZBSBem);
1292	<	Bpred->Add(LcorrJZBSBem,-1);
1293	<	TH1F BpredSBeemm = (TH1F)LcorrJZBeemm->Clone("BpredSBeemm");
1294	<	BpredSBeemm->Add(RcorrJZBSBeemm);
1295	<	BpredSBeemm->Add(LcorrJZBSBeemm,-1.0);
1296	<	globalcanvas->cd();
1297	<	globalcanvas->SetLogy(1);
1298	<
1299	<	RcorrJZBeemm->SetMarkerStyle(20);
1300	<	RcorrJZBeemm->GetXaxis()->SetRangeUser(0,high);
1301	<	blankback->Draw();
1302	<	RcorrJZBeemm->Draw("e1x0,same");
1303	<	RcorrJZBeemm->SetMarkerSize(DataMarkerSize);
1304	<
1305	<	Bpredem->SetLineColor(kRed+1);
1306	<	Bpredem->SetStats(0);
1307	<	Bpredem->Draw("hist,same");
1308	<
1309	<	BpredSBem->SetLineColor(kGreen+2);//TColor::GetColor("#0B6138"));
1310	<	BpredSBem->SetLineStyle(2);
1311	<	BpredSBem->Draw("hist,same");
1312	<
1313	<	BpredSBeemm->SetLineColor(kBlue+1);
1314	<	BpredSBeemm->SetLineStyle(3);
1315	<	BpredSBeemm->Draw("hist,same");
1316	<	RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1317	<
1318	<	TLegend *legBpredc = make_legend("",0.6,0.55);
1319	<	if(use_data==1)
1320	<	{
1321	<	legBpredc->AddEntry(RcorrJZBeemm,"observed","p");
1322	<	legBpredc->AddEntry(Bpredem,"OFZP","l");
1323	<	legBpredc->AddEntry(BpredSBem,"OFSB","l");
1324	<	legBpredc->AddEntry(BpredSBeemm,"SFSB","l");
1325	<	legBpredc->Draw();
1326	<	CompleteSave(globalcanvas,"Bpred_Data_comparison");
1327	<	}
1328	<	if(use_data==0) {
1329	<	legBpredc->AddEntry(RcorrJZBeemm,"MC observed","p");
1330	<	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1331	<	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1332	<	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1333	<	legBpredc->Draw();
1334	<	CompleteSave(globalcanvas,"Bpred_MC_comparison");
1335	<	}
1336	<	if(use_data==2) {
1337	<	legBpredc->AddEntry(RcorrJZBeemm,"MC observed","p");
1338	<	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1339	<	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1340	<	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1341	<	if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1342	<	legBpredc->Draw();
1343	<	CompleteSave(globalcanvas,"Bpred_MCwithS_comparison");
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);
1289	>	Bpredem->Add(LcorrJZBem,-1);
1290	>	TH1F BpredSBem = (TH1F)LcorrJZBeemm->Clone("BpredSBem");
1291	>	BpredSBem->Add(RcorrJZBSBem);
1292	>	Bpred->Add(LcorrJZBSBem,-1);
1293	>	TH1F BpredSBeemm = (TH1F)LcorrJZBeemm->Clone("BpredSBeemm");
1294	>	BpredSBeemm->Add(RcorrJZBSBeemm);
1295	>	BpredSBeemm->Add(LcorrJZBSBeemm,-1.0);
1296	>	globalcanvas->cd();
1297	>	globalcanvas->SetLogy(1);
1298	>
1299	>	RcorrJZBeemm->SetMarkerStyle(20);
1300	>	RcorrJZBeemm->GetXaxis()->SetRangeUser(0,high);
1301	>	blankback->Draw();
1302	>	RcorrJZBeemm->Draw("e1x0,same");
1303	>	RcorrJZBeemm->SetMarkerSize(DataMarkerSize);
1304	>
1305	>	Bpredem->SetLineColor(kRed+1);
1306	>	Bpredem->SetStats(0);
1307	>	Bpredem->Draw("hist,same");
1308	>
1309	>	BpredSBem->SetLineColor(kGreen+2);//TColor::GetColor("#0B6138"));
1310	>	BpredSBem->SetLineStyle(2);
1311	>	BpredSBem->Draw("hist,same");
1312	>
1313	>	BpredSBeemm->SetLineColor(kBlue+1);
1314	>	BpredSBeemm->SetLineStyle(3);
1315	>	BpredSBeemm->Draw("hist,same");
1316	>	RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1317	>
1318	>	TLegend *legBpredc = make_legend("",0.6,0.55);
1319	>	if(use_data==1)
1320	>	{
1321	>	legBpredc->AddEntry(RcorrJZBeemm,"observed","p");
1322	>	legBpredc->AddEntry(Bpredem,"OFZP","l");
1323	>	legBpredc->AddEntry(BpredSBem,"OFSB","l");
1324	>	legBpredc->AddEntry(BpredSBeemm,"SFSB","l");
1325	>	legBpredc->Draw();
1326	>	CompleteSave(globalcanvas,subdir+"Bpred_Data_comparison");
1327	>	}
1328	>	if(use_data==0) {
1329	>	legBpredc->AddEntry(RcorrJZBeemm,"MC true","p");
1330	>	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1331	>	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1332	>	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1333	>	legBpredc->Draw();
1334	>	CompleteSave(globalcanvas,subdir+"Bpred_MC_comparison");
1335	>	}
1336	>	if(use_data==2) {
1337	>	legBpredc->AddEntry(RcorrJZBeemm,"MC true","p");
1338	>	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1339	>	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1340	>	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1341	>	if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1342	>	legBpredc->Draw();
1343	>	CompleteSave(globalcanvas,subdir+"Bpred_MCwithS_comparison");
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 1075 \| 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 1087 \| Line 1374 \| void do_prediction_plot(string jzb, TCan
1374		delete JLcorrJZBSBeemm;
1375		}
1376		if(overlay_signal \|\| use_data==2) delete lm4RcorrJZBeemm;
1377	+	switch_overunderflow(false);
1378		}
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);
1383	<	do_prediction_plot(mcjzb,globalcanvas,MCSigma,jzbHigh ,mc,overlay_signal);
1384	<	do_prediction_plot(mcjzb,globalcanvas,MCSigma,jzbHigh ,mcwithsignal,overlay_signal);
1382	>	do_prediction_plot(datajzb,globalcanvas,jzbHigh ,data,overlay_signal);
1383	>	if ( !PlottingSetup::Approved ) {
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	>	}
1389		}
1390
1391		void do_ratio_plot(int is_data,vector<float> binning, string jzb, TCanvas *can, float high=-9999) {
#	Line 1443 \| Line 1735 \| void draw_pure_jzb_histo(TCut cut,string
1735		TText *writeline1 = write_cut_on_canvas(write_cut.c_str());
1736		writeline1->SetTextSize(0.035);
1737		writeline1->Draw();
1738	<	save_with_ratio(datahisto,mcstack,jzbpad->cd(),("jzb/"+savename));
1738	>	if(!Contains(savename,"Dibosons")) save_with_ratio(datahisto,mcstack,jzbpad->cd(),("jzb/"+savename));
1739	>	else save_with_ratio(datahisto,mcstack,jzbpad->cd(),savename);
1740		TPad *jzbpad2 = new TPad("jzbpad2","jzbpad2",0,0,1,1);
1741		jzbpad2->cd();
1742		jzbpad2->SetLogy(1);
#	Line 1458 \| Line 1751 \| void draw_pure_jzb_histo(TCut cut,string
1751		writeline1->SetTextSize(0.035);
1752		writeline1->Draw();
1753		DrawPrelim();
1754	<	save_with_ratio(datahisto,mcstack,jzbpad2->cd(),("jzb/PositiveSideOnly/"+savename+""));
1754	>	if(!Contains(savename,"Dibosons")) save_with_ratio(datahisto,mcstack,jzbpad2->cd(),("jzb/PositiveSideOnly/"+savename+""));
1755	>	else save_with_ratio(datahisto,mcstack,jzbpad2->cd(),(savename+"__PosOnly"));
1756		datahisto->Delete();
1757		mcstack.Delete();
1758		}
#	Line 1466 \| Line 1760 \| void draw_pure_jzb_histo(TCut cut,string
1760		Double_t GausR(Double_t x, Double_t par) {
1761		return gRandom->Gaus(x[0],par[0]);
1762		}
1763	+
1764	+	void produce_stretched_jzb_plots(string mcjzb, string datajzb,vector<float> ratio_binning) {
1765	+	TCanvas *dican = new TCanvas("dican","JZB Plots Canvas");
1766	+	float max=jzbHigh ;
1767	+	float min=-120;
1768	+	int nbins=(int)((max-min)/5.0); // we want 5 GeV/bin
1769	+	int coarserbins=int(nbins/2.0);
1770	+	int rebinnedbins=int(nbins/4.0);
1771	+
1772	+	vector<float>binning;vector<float>coarse_binning;vector<float>coarsest_binning;
1773	+	for(int i=0;i<=nbins;i++)binning.push_back(min+i*(max-min)/((float)nbins));
1774	+	for(int i=0;i<=coarserbins;i++)coarse_binning.push_back(min+i*(max-min)/((float)coarserbins));
1775	+	for(int i=0;i<=rebinnedbins;i++)coarsest_binning.push_back(min+i*(max-min)/((float)rebinnedbins));
1776	+
1777	+	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_SFZP",dican,binning);
1778	+	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_OFZP",dican,binning);
1779	+	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"Dibosons/ee/jzb_OS_SFZP",dican,binning);
1780	+	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"Dibosons/mm/jzb_OS_SFZP",dican,binning);
1781	+	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"Dibosons/ee/jzb_OS_OFZP",dican,binning);
1782	+	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"Dibosons/mm/jzb_OS_OFZP",dican,binning);
1783	+	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_SFSB",dican,binning);
1784	+	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_OFSB",dican,binning);
1785
1786	+	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_SFZP_coarse",dican,coarse_binning);
1787	+	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_OFZP_coarse",dican,coarse_binning);
1788	+	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_SFSB_coarse",dican,coarse_binning);
1789	+	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_OFSB_coarse",dican,coarse_binning);
1790	+
1791	+	delete dican;
1792	+	}
1793	+
1794	+
1795	+	void diboson_plots(string mcjzb, string datajzb,vector<float> ratio_binning) {
1796	+	vector<int> SamplesToBeModified = allsamples.FindSampleBySampleName("WW/WZ/ZZ");
1797	+
1798	+	if(SamplesToBeModified.size()==0 \|\| SamplesToBeModified[0]==-1) {
1799	+	write_error(__FUNCTION__,"Could not find any diboson samples - aborting diboson plots");
1800	+	return;
1801	+	}
1802	+
1803	+	float stretchfactor = 100.0;
1804	+	vector<string> labels;
1805	+
1806	+
1807	+	dout << "Going to increase the cross section for diboson samples ... " << endl;
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;
1812	+	labels.push_back((allsamples.collection)[SamplesToBeModified[i]].samplename);
1813	+	(allsamples.collection)[SamplesToBeModified[i]].samplename=any2string(int(stretchfactor))+" x "+(allsamples.collection)[SamplesToBeModified[i]].samplename;
1814	+	dout << " (also renamed it to " << (allsamples.collection)[SamplesToBeModified[i]].samplename << " )" << endl;
1815	+	}
1816	+
1817	+	dout << "Going to produce JZB plots" << endl;
1818	+	produce_stretched_jzb_plots(mcjzb,datajzb,ratio_binning);
1819	+	TCanvas *gloca = new TCanvas("gloca","gloca");
1820	+
1821	+	dout << "Going to produce prediction plots" << endl;
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<(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;
1831	+	(allsamples.collection)[SamplesToBeModified[i]].samplename=labels[i];
1832	+	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;
1833	+
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 1480 \| Line 1879 \| void jzb_plots(string mcjzb, string data
1879		for(int i=0;i<=coarserbins;i++)coarse_binning.push_back(min+i*(max-min)/((float)coarserbins));
1880		for(int i=0;i<=rebinnedbins;i++)coarsest_binning.push_back(min+i*(max-min)/((float)rebinnedbins));
1881
1882	<	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP",can,binning);
1883	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP",can,binning);
1884	<	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_SFZP",can,binning);
1885	<	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_SFZP",can,binning);
1886	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_OFZP",can,binning);
1887	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_OFZP",can,binning);
1888	<	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1889	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB",can,binning);
1890	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB",can,binning);
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);
1887	>	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_SFZP",can,binning);
1888	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_OFZP",can,binning);
1889	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_OFZP",can,binning);
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);
1901	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP_coarse",can,coarse_binning);
1902	<	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1903	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB_coarse",can,coarse_binning);
1904	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB_coarse",can,coarse_binning);
1905	<
1906	<	// draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP_coarsest",can,coarsest_binning);
1907	<	// draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP_coarsest",can,coarsest_binning);
1501	<	// flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1502	<	// if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB_coarsest",can,coarsest_binning);
1503	<	// if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB_coarsest",can,coarsest_binning);
1901	>	if ( !PlottingSetup::Approved ) {
1902	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP_coarse",can,coarse_binning);
1903	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1904	>	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB_coarse",can,coarse_binning);
1905	>	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB_coarse",can,coarse_binning);
1906	>	}
1907	>	delete can;
1908		}
1909
1910
#	Line 1555 \| 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 1818 \| 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;
1821	–	int electrons_only=0;
1822	–	int mu_only=1;
1823	–	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 1836 \| 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) {
1840	<	//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__,false);//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 1853 \| 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");
1876	<	niceresponseplotm->GetXaxis()->CenterTitle();
1877	<	niceresponseplotm->GetYaxis()->CenterTitle();
1878	<	niceresponseplotm->Draw("COLZ");
1879	<	(allsamples.collection)[allsamples.FindSample("DY")[0]].events->Draw("sumJetPt[1]/pt:pt",zptforresponsepresentation,"PROF,same");
1880	<	TProfile * profm = (TProfile*)niceresponseplotm->ProfileX();
1881	<	profm->SetMarkerSize(DataMarkerSize);
1882	<	profm->Fit("pol0","","same,e1",30,400);
1883	<	DrawMCPrelim();
1884	<	title = write_text(0.5,0.7,"MC simulation");
1885	<	title->SetTextAlign(12);
1886	<	title->Draw();
1887	<	TF1 mcpol=(TF1)profm->GetFunction("pol0");
1888	<	float mccorrection=mcpol->GetParameter(0);
1889	<	stringstream mcresstring;
1890	<	mcresstring<<"Response: "<<std::setprecision(2)<<100*mccorrection<<" %";
1891	<	TText* mcrestitle = write_text(0.5,0.65,mcresstring.str());
1892	<	mcrestitle->SetTextAlign(12);
1893	<	mcrestitle->SetTextSize(0.03);
1894	<	mcrestitle->Draw();
1895	<	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
1899	<	// 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 1915 \| 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) {
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 1935 \| 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";
2378
2379		configfile<<"void read_config() {\n";
2380		configfile<<"datajzb=\""<<datajzb<<"\";\n";
2381		configfile<<"mcjzb=\""<<mcjzb<<"\";\n\n";
2382	<	configfile<<"\n\nMCPeakError="<<MCPeakError<<";\n\n";
2383	<	for(int i=0;i<jzb_cuts.size();i++) configfile<<"jzb_cuts.push_back("<<jzb_cuts[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2382	>	configfile<<"\n\nMCPeakError="<<MCPeakError<<";\n";
2383	>	configfile<<"DataPeakError="<<DataPeakError<<";\n\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";
1951	–	for(int i=0;i<flippedNobs.size();i++) configfile<<"flippedNobs.push_back("<<flippedNobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
1952	–	for(int i=0;i<flippedNpred.size();i++) configfile<<"flippedNpred.push_back("<<flippedNpred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
1953	–	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";
2398
2399		configfile<<"\n\ncout << \"Configuration successfully loaded!\" << endl; \n \n } \n \n";
2400
#	Line 1975 \| 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 1986 \| 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 1995 \| 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;
1998	–	cutWeight="1.0";
1999	–	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 2035 \| 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 2053 \| Line 2519 \| void ttbar_sidebands_comparison(string m
2519		leg->Draw("same");
2520		DrawMCPrelim(simulatedlumi);
2521		CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_shape_comparison");
2056	–
2522		TH1F TZemcopy = (TH1F)TZem->Clone("TZemcopy");
2523		TH1F TZeemmcopy = (TH1F)TZeemm->Clone("TZeemmcopy");
2524	<	TH1F TSeemmcopy = (TH1F)TSeemm->Clone("TSeemmcopy");
2525	<	TH1F TSemcopy = (TH1F)TSem->Clone("TSemcopy");
2524	>	TH1F *TSeemmcopy;
2525	>	TH1F *TSemcopy;
2526	>	if(PlottingSetup::RestrictToMassPeak) {
2527	>	TSeemmcopy = (TH1F*)TSeemm->Clone("TSeemmcopy");
2528	>	TSemcopy = (TH1F*)TSem->Clone("TSemcopy");
2529	>	}
2530
2531		TZem->Divide(TZeemm);
2532		TZem->SetMarkerStyle(21);
#	Line 2077 \| Line 2546 \| void ttbar_sidebands_comparison(string m
2546		TSeemm->Draw("same");
2547		}
2548
2549	<	float linepos=0.25;
2550	<	if(PlottingSetup::RestrictToMassPeak) linepos=0.25;
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);
2555
2556	+	/*write_warning(__FUNCTION__,"These two lines are to be removed!");
2557	+	TLine *topalt = new TLine(binning[0],1.0+0.1,binning[binning.size()-1],1.0+0.1);
2558	+	TLine *bottomalt = new TLine(binning[0],1.0-0.1,binning[binning.size()-1],1.0-0.1);
2559	+	topalt->SetLineColor(kRed);topalt->SetLineStyle(3);
2560	+	bottomalt->SetLineColor(kRed);bottomalt->SetLineStyle(3);
2561	+	topalt->Draw("same");bottomalt->Draw("same");*/
2562	+
2563	+
2564		top->SetLineColor(kBlue);top->SetLineStyle(2);
2565		bottom->SetLineColor(kBlue);bottom->SetLineStyle(2);
2566		center->SetLineColor(kBlue);
#	Line 2107 \| Line 2585 \| void ttbar_sidebands_comparison(string m
2585		CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_shape_comparison_ratio");
2586
2587
2110	–
2588		///-------------- second part: only look at the quantity we actually care about!
2589		TH1F leftsfzp = (TH1F)nTZeemm->Clone("leftsfzp");
2590		TH1F rightsfzp = (TH1F)TZeemmcopy->Clone("rightsfzp");
#	Line 2153 \| Line 2630 \| void ttbar_sidebands_comparison(string m
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 2213 \| Line 2690 \| void ttbar_sidebands_comparison(string m
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);
2218	–	nicer_binning.push_back(-75);
2712		nicer_binning.push_back(-50);
2713		nicer_binning.push_back(-25);
2714		nicer_binning.push_back(0);
#	Line 2230 \| 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
2250	–	TCut weightbackup=cutWeight;
2251	–	cutWeight="1.0";
2252	–	float sbg_min=0.;
2253	–	float sbg_max=100.;
2254	–	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"));
2264	<	TH1F *hJZBneg = systsamples.Draw("hJZBneg",var,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",
2265	<	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;
2270	<	Float_t xmax = 100.;
2271	<
2272	<
2273	<	TCanvas *zcan = new TCanvas("zcan","zcan");
2274	<	zcan->SetLogy(1);
2275	<
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 2305 \| 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 2336 \| 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 2354 \| 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 2413 \| 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 2454 \| Line 3056 \| *void JZBSelEff(string mcjzb, TTree even**
3056		int nbins = sizeof(xbins)/sizeof(float)-1;
3057		int markers[] = { 20, 26, 21, 24, 22, 25, 28 };
3058
3059	<	TH1F* heff = new TH1F("heff", "JZB eff ; generator-level JZB [GeV]; efficiency",nbins,xbins);
3060	<	TH1F* hgen = new TH1F("hgen", "JZB gen ; generator-level JZB [GeV]; efficiency",nbins,xbins);
3061	<	TH1F* hreco = new TH1F("hreco","JZB reco ; generator-level JZB [GeV]; efficiency",nbins,xbins);
3059	>
3060	>	TH1F* heff = new TH1F("heff", "JZB eff ; generator JZB [GeV]; efficiency",nbins,xbins);
3061	>	TH1F* hgen = new TH1F("hgen", "JZB gen ; generator JZB [GeV]; efficiency",nbins,xbins);
3062	>	TH1F* hreco = new TH1F("hreco","JZB reco ; generator JZB [GeV]; efficiency",nbins,xbins);
3063
3064		TCut kgen(genMassCut&&"genZPt>0&&genNjets>2&&abs(genMID)==23"&&cutOSSF);
3065		TCut kreco(cutmass);
#	Line 2472 \| Line 3075 \| *void JZBSelEff(string mcjzb, TTree even**
3075		TCanvas *can = new TCanvas("can","Canvas for JZB Efficiency",600,600);
3076		can->SetGridx(1);
3077		can->SetGridy(1);
3078	+	can->SetLeftMargin(0.16);
3079	+	can->SetRightMargin(0.05);
3080		TLegend *leg = make_legend("",0.6,0.2,false,0.89,0.5);
3081	+	leg->SetBorderSize(1);
3082	+	leg->SetLineColor(kBlack);
3083	+	leg->SetTextFont(62);
3084
3085	<
2478	<
2479	<	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 2492 \| Line 3098 \| *void JZBSelEff(string mcjzb, TTree even**
3098		}
3099
3100		heff->GetXaxis()->SetRangeUser(min, max);
3101	+	// heff->GetXaxis()->SetLabelSize(0.05); // paper style. overruled.
3102	+	// heff->GetYaxis()->SetLabelSize(0.05); // paper style. overruled.
3103	+	// heff->GetXaxis()->SetTitleSize(0.06); // paper style. overruled.
3104	+	// heff->GetYaxis()->SetTitleSize(0.06); // paper style. overruled.
3105		heff->SetMarkerStyle(markers[icut]);
3106		heff->Fit("func","Q+","same");
3107
#	Line 2503 \| Line 3113 \| *void JZBSelEff(string mcjzb, TTree even**
3113
3114		// Store plot
3115		TH1F* h = (TH1F*)heff->Clone(hname);
3116	+	h->SetNdivisions(505,"X");
3117		if ( icut) h->Draw("same");
3118		else h->Draw();
3119		char htitle[256]; sprintf(htitle,"JZB > %3.0f GeV", jzb_bins[icut]);
#	Line 2523 \| 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 2566 \| 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 2650 \| 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 2697 \| 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 2745 \| 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 2769 \| 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 2782 \| Line 3393 \| void check_ptsanity() {
3393		delete ptsancan;
3394		}
3395
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<(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));
3403	+	// TH1F *mll = signalsamples.Draw("mllhisto","mll",150,0,150, "m_{ll}", "events","",mc,luminosity,signalsamples.FindSample(nowname));
3404	+	mll->SetLineColor(TColor::GetColor("#04B404"));
3405	+	stringstream poscutS;
3406	+	poscutS << "((" << mcjzb <<")>50)";
3407	+	TCut poscut(poscutS.str().c_str());
3408	+	TH1F *mllP = signalsamples.Draw("mllhistoP","mll",150,0,150, "m_{ll}", "events",cutOSSF&&cutnJets&&poscut,mc,luminosity,signalsamples.FindSample(nowname));
3409	+	mllP->SetLineColor(TColor::GetColor("#0040FF"));
3410	+	mll->Draw("histo");
3411	+	mllP->Draw("histo,same");
3412	+	TLegend *leg = make_legend();
3413	+	leg->SetY1(0.8);
3414	+	leg->AddEntry(mll,(signalsamples.collection)[isig].samplename.c_str(),"L");
3415	+	leg->AddEntry(mllP,((signalsamples.collection)[isig].samplename+", JZB>50").c_str(),"L");
3416	+	leg->Draw();
3417	+	TLine *lin = new TLine(71.2,0,71.2,mll->GetMaximum());
3418	+	TLine *lin2 = new TLine(111.2,0,111.2,mll->GetMaximum());
3419	+	lin->Draw("same");
3420	+	lin2->Draw("same");
3421	+
3422	+	CompleteSave(sigcan,"MllShape/"+(signalsamples.collection)[isig].samplename);
3423	+	delete mll;
3424	+	delete mllP;
3425	+	}
3426	+	}
3427	+
3428	+	void met_vs_jzb_plots() {
3429	+
3430	+	TCanvas *canmetjzb = new TCanvas("canmet","MET vs JZB canvas");
3431	+	canmetjzb->SetRightMargin(0.16);
3432	+
3433	+	vector<string> findme;
3434	+	findme.push_back("DY");
3435	+	findme.push_back("TTJets");
3436	+	findme.push_back("LM");
3437	+
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<(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	+	}
3445	+	metvsjzb->Scale(allsamples.collection[selsamples[0]].weight);
3446	+	metvsjzb->SetStats(0);
3447	+	metvsjzb->GetXaxis()->SetTitle("MET (GeV)");
3448	+	metvsjzb->GetYaxis()->SetTitle("JZB (GeV)");
3449	+	metvsjzb->GetXaxis()->CenterTitle();
3450	+	metvsjzb->GetYaxis()->CenterTitle();
3451	+	metvsjzb->Draw("COLZ");
3452	+	TText* title = write_text(0.5,0.95,allsamples.collection[selsamples[0]].samplename);
3453	+	title->SetTextAlign(12);
3454	+	title->Draw();
3455	+	CompleteSave(canmetjzb,(string)"METvsJZBplots/"+findme[ifind]);
3456	+	}
3457	+	}
3458	+
3459	+
3460		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 1.4 by buchmann, Fri Mar 2 08:37:03 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 1.4 by buchmann, Fri Mar 2 08:37:03 2012 UTC vs.
Revision 1.36 by buchmann, Thu Jul 12 12:55:02 2012 UTC