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Comparing UserCode/cbrown/Development/Plotting/Modules/Plotting_Functions.C (file contents):
Revision 1.25 by buchmann, Fri Jun 15 08:41:04 2012 UTC vs.
Revision 1.35 by buchmann, Mon Jul 9 16:26:00 2012 UTC

#	Line 28 | Line 28 | void todo() {
28		dout << "Info : The pt requirement is currently set to " << (const char*) passtrig << endl;
29		dout << "Info : The mll requirement is currently set to " << (const char*) cutmass << endl;
30		dout << "Info : The lepton requirement is currently set to " << (const char*) leptoncut << endl;
31	+	dout << "Info : The weight applied to all MC is " << (const char*) cutWeight << endl;
32		}
33
34	<	void find_peaks(float &MCPeak,float &MCPeakError, float &DataPeak, float &DataPeakError, float &MCSigma, float &DataSigma, stringstream &result, bool doPUreweighting = true )
34	>
35	>
36	>	void find_one_peak_combination(TCut specialcut, float &MCPeak,float &MCPeakError, float &DataPeak, float &DataPeakError, float &MCSigma, float &DataSigma, stringstream &result, bool doPUreweighting = true, string saveas="")
37		{
38		// Temporarily switch off PU reweighting, if asked
39		TCut weightbackup=cutWeight;
#	Line 40 | Line 43 | void find_peaks(float &MCPeak,float &MCP
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,nbins,-50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,mc, luminosity);
47	<	TH1F *rawJZBeemmData    = allsamples.Draw("rawJZBeemmData",jzbvariabledata,nbins, -50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,data, luminosity);
48	<	TH1F *rawJZBemMC      = allsamples.Draw("rawJZBemMC",jzbvariablemc,nbins,-50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,mc, luminosity);
49	<	TH1F *rawJZBemData    = allsamples.Draw("rawJZBemData",jzbvariabledata,nbins, -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,nbins, -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 58 | 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 68 | Line 73 | void find_peaks(float &MCPeak,float &MCP
73
74		//  MCPeak=find_peak(rawJZBeemmMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method);
75		//  DataPeak=find_peak(rawJZBeemmData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method);
76	<	dout << "We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
77	<	result << "We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
78	<	dout << "We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
79	<	result << "We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
76	>	dout   << "   We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
77	>	result << "   We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
78	>	dout   << "   We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
79	>	result << "   We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
80	>	delete rawJZBeemmData;
81	>	delete rawJZBeemmMC;
82	>	delete rawJZBemData;
83	>	delete rawJZBemMC;
84		delete tempcan;
85		}
86
87	<	void make_special_obs_pred_mll_plot(string mcjzb, float jzbthreshold) {
87	>	void find_peaks(float &MCPeak,float &MCPeakError, float &DataPeak, float &DataPeakError, stringstream &result, bool doPUreweighting, stringstream &datajzb, stringstream &mcjzb)
88	>	{
89	>
90	>	bool DoInvidualeemmPeaks=false;
91	>
92	>	float mcpeak, datapeak;
93	>	float mcpeakerr, datapeakerr;
94	>
95	>	float mceepeak,mcmmpeak;
96	>	float mceepeakerr,mcmmpeakerr;
97	>
98	>	float datammpeak,dataeepeak;
99	>	float datammpeakerr,dataeepeakerr;
100	>
101	>	float mcSigma, dataSigma;
102	>
103	>	dout << "Finding global peak : " << endl;
104	>	find_one_peak_combination(TCut(""),mcpeak,mcpeakerr, datapeak,datapeakerr,mcSigma, dataSigma,result,doPUreweighting,"");
105	>
106	>	if(DoInvidualeemmPeaks) {
107	>	dout << "Finding peak for electrons : " << endl;
108	>	find_one_peak_combination(TCut("id1==0"),mceepeak,mceepeakerr, dataeepeak,dataeepeakerr,mcSigma, dataSigma,result,doPUreweighting,"_ele");
109	>	dout << "Finding peak for muons : " << endl;
110	>	find_one_peak_combination(TCut("id1==1"),mcmmpeak,mcmmpeakerr, datammpeak,datammpeakerr,mcSigma, dataSigma,result,doPUreweighting,"_mu");
111	>
112	>	datajzb << "(" << jzbvariabledata;
113	>	mcjzb << "(" << jzbvariablemc;
114	>
115	>	if(dataeepeak>0) datajzb << "- (id1==id2)*(id1==0)*" << TMath::Abs(dataeepeak) << " ";
116	>	else datajzb << "+ (id1==id2)*(id1==0)*" << TMath::Abs(dataeepeak) << " ";
117	>
118	>	if(datammpeak>0) datajzb << "- (id1==id2)*(id1==1)*" << TMath::Abs(datammpeak) << " ";
119	>	else datajzb << "+ (id1==id2)*(id1==1)*" << TMath::Abs(datammpeak) << " ";
120	>
121	>	if(datapeak>0) datajzb << "- (id1!=id2)*" << TMath::Abs(datapeak) << " ";
122	>	else datajzb << "+ (id1!=id2)*" << TMath::Abs(datapeak) << " ";
123	>
124	>	datajzb << ")";
125	>
126	>	if(mceepeak>0) mcjzb << "- (id1==id2)*(id1==0)*" << TMath::Abs(mceepeak) << " ";
127	>	else mcjzb << "+ (id1==id2)*(id1==0)*" << TMath::Abs(mceepeak) << " ";
128	>
129	>	if(mcmmpeak>0) mcjzb << "- (id1==id2)*(id1==1)*" << TMath::Abs(mcmmpeak) << " ";
130	>	else mcjzb << "+ (id1==id2)*(id1==1)*" << TMath::Abs(mcmmpeak) << " ";
131	>
132	>	if(mcpeak>0) mcjzb << "- (id1!=id2)*" << TMath::Abs(mcpeak) << " ";
133	>	else mcjzb << "+ (id1!=id2)*" << TMath::Abs(mcpeak) << " ";
134	>
135	>	mcjzb << ")";
136	>	} else {
137	>	datajzb << "(" << jzbvariabledata;
138	>	mcjzb << "(" << jzbvariablemc;
139	>
140	>	if(datapeak>0) datajzb << "- " << TMath::Abs(datapeak) << " ";
141	>	else datajzb << "+ " << TMath::Abs(datapeak) << " ";
142	>
143	>	datajzb << ")";
144	>
145	>	if(mcpeak>0) mcjzb << "- " << TMath::Abs(mcpeak) << " ";
146	>	else mcjzb << "+ " << TMath::Abs(mcpeak) << " ";
147	>
148	>	mcjzb << ")";
149	>	}
150	>
151	>
152	>	}
153	>
154	>	void make_special_obs_pred_mll_plot(string datajzb, string mcjzb, float jzbthreshold) {
155		float min=70.0;
156		float max=115.0;
157		if(!PlottingSetup::RestrictToMassPeak) {
158	<	min=10;
159	<	max=150;
158	>	min=20;
159	>	max=200;
160		}
161		int nbins=int((max-min)/5);
162
163		TCanvas *ckin = new TCanvas("ckin","Kinematic Plots (in the making)",600,600);
164
165		stringstream largerzeroS;
166	<	largerzeroS << "(" << mcjzb << ">" << jzbthreshold << ")";
167	<	TCut largerzero(largerzeroS.str().c_str());
166	>	largerzeroS << "(" << datajzb << ">" << jzbthreshold << ")";
167	>	TCut largerzeroD(largerzeroS.str().c_str());
168
169		stringstream smallerzeroS;
170	<	smallerzeroS << "(" << mcjzb << "<-" << jzbthreshold << ")";
171	<	TCut smallerzero(smallerzeroS.str().c_str());
172	<
173	<	TH1F *RcorrJZBeemm     = allsamples.Draw("RcorrJZBeemm",       "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,data,luminosity);
174	<	THStack mcRcorrJZBeemm = allsamples.DrawStack("mcRcorrJZBeemm","mll",nbins,min,max, "m_{ll} [GeV}", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,mc,luminosity);
175	<	TH1F *LcorrJZBeemm     = allsamples.Draw("LcorrJZBeemm",       "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&smallerzero,data,luminosity);
176	<	TH1F *RcorrJZBem       = allsamples.Draw("RcorrJZBem",         "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&largerzero,data,luminosity);
177	<	TH1F *LcorrJZBem       = allsamples.Draw("LcorrJZBem",         "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&smallerzero,data,luminosity);
170	>	smallerzeroS << "(" << datajzb << "<-" << jzbthreshold << ")";
171	>	TCut smallerzeroD(smallerzeroS.str().c_str());
172	>
173	>
174	>	stringstream largerzeroMS;
175	>	largerzeroMS << "(" << mcjzb << ">" << jzbthreshold << ")";
176	>	TCut largerzeroM(largerzeroMS.str().c_str());
177	>
178	>	TH1F *RcorrJZBeemm     = allsamples.Draw("RcorrJZBeemm",       "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzeroD,data,luminosity);
179	>	THStack mcRcorrJZBeemm = allsamples.DrawStack("mcRcorrJZBeemm","mll",nbins,min,max, "m_{ll} [GeV}", "events", cutmass&&cutOSSF&&cutnJets&&largerzeroM,mc,luminosity);
180	>	TH1F *LcorrJZBeemm     = allsamples.Draw("LcorrJZBeemm",       "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&smallerzeroD,data,luminosity);
181	>	TH1F *RcorrJZBem       = allsamples.Draw("RcorrJZBem",         "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&largerzeroD,data,luminosity);
182	>	TH1F *LcorrJZBem       = allsamples.Draw("LcorrJZBem",         "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&smallerzeroD,data,luminosity);
183
184		TH1F *RcorrJZBSBem;
185		TH1F *LcorrJZBSBem;
#	Line 108 | Line 189 | void make_special_obs_pred_mll_plot(stri
189		//  TH1F *RcorrJZBeemmNoS;
190
191		if(PlottingSetup::RestrictToMassPeak) {
192	<	RcorrJZBSBem   = allsamples.Draw("RcorrJZBSBem",  "mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&largerzero,data, luminosity);
193	<	LcorrJZBSBem   = allsamples.Draw("LcorrJZBSBem",  "mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&smallerzero,data, luminosity);
194	<	RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm","mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&largerzero,data, luminosity);
195	<	LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm","mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&smallerzero,data, luminosity);
192	>	RcorrJZBSBem   = allsamples.Draw("RcorrJZBSBem",  "mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&largerzeroD,data, luminosity);
193	>	LcorrJZBSBem   = allsamples.Draw("LcorrJZBSBem",  "mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&smallerzeroD,data, luminosity);
194	>	RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm","mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&largerzeroD,data, luminosity);
195	>	LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm","mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&smallerzeroD,data, luminosity);
196		}
197
198		TH1F *Bpred = (TH1F*)LcorrJZBeemm->Clone("Bpred");
#	Line 143 | Line 224 | void make_special_obs_pred_mll_plot(stri
224		stringstream saveas;
225		saveas << "kin/Mll_After_Cut/Cut_At" << jzbthreshold;
226		CompleteSave(ckin,saveas.str());
227	+
228	+
229	+
230	+	RcorrJZBeemm->Draw();
231	+	Bpred->Draw("histo,same");
232	+	RcorrJZBeemm->Draw("same");
233	+
234	+	TLegend *leg2 = make_legend();
235	+	leg2->SetX1(0.58);
236	+	leg2->AddEntry(RcorrJZBeemm,"observed (data)","l");
237	+	leg2->AddEntry(Bpred,"predicted (data)","l");
238	+	leg2->Draw("same");
239	+
240	+	saveas.str("");
241	+	saveas << "kin/Mll_After_Cut/Cut_At" << jzbthreshold << "_nomc";
242	+	CompleteSave(ckin,saveas.str());
243	+
244	+
245
246		delete RcorrJZBeemm;
247		delete LcorrJZBeemm;
#	Line 284 | Line 383 | void make_kin_plot(string variable, stri
383		draw_separation_lines=true;
384		}
385		if(filename=="mll_mm") cut=cutOSSF&&cutnJets&&ibasiccut&&"id1==1";
386	<	if(Contains(filename,"mll_aboveJZB100")) cut=cutOSSF&&cutnJets&&ibasiccut;
386	>	if(Contains(filename,"aboveJZB")) cut=cutOSSF&&cutnJets&&ibasiccut;
387	>	if(Contains(filename,"mll_ee_above")) cut=cut&&"id1==0";
388	>	if(Contains(filename,"mll_mm_above")) cut=cut&&"id1==1";
389		if(Contains(filename,"mll_osof_aboveJZB")) cut=cutOSOF&&cutnJets&&ibasiccut;
390		if(filename=="mll_inclusive"||filename=="mll_inclusive_highrange") cut=cutOSSF;
391		if(filename=="mll_inclusive_osof") cut=cutOSOF;
#	Line 396 | 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 436 | Line 537 | void do_kinematic_plots(string mcjzb, st
537		float mll_low=50;
538		float mll_hi=160;
539		if(!PlottingSetup::RestrictToMassPeak) {
540	<	mll_low=iMllLow;
540	>	mll_low=20;
541		mll_hi=210;
542		}
543
#	Line 464 | Line 565 | void do_kinematic_plots(string mcjzb, st
565		if(!doPF) make_special_mll_plot((int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]");
566		stringstream jzbcut;
567		jzbcut << "((is_data&&("<<datajzb<<")>100)||(!is_data&&("<<mcjzb<<")>100))";
568	<	make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB100",doPF,true);
569	<	make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_osof_aboveJZB100",doPF,true);
570	<	make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB100",doPF,true);
571	<	make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_osof_aboveJZB100",doPF,true);
568	>	make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_aboveJZB100",doPF,true);
569	>	make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_osof_aboveJZB100",doPF,true);
570	>	make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_ee_aboveJZB100",doPF,true);
571	>	make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_mm_aboveJZB100",doPF,true);
572		stringstream jzbcut2;
573		jzbcut2 << "((is_data&&("<<datajzb<<")>150)||(!is_data&&("<<mcjzb<<")>150))";
574	<	make_kin_plot("mll",jzbcut2.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB150",doPF,true);
575	<	make_kin_plot("mll",jzbcut2.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_osof_aboveJZB150",doPF,true);
574	>	make_kin_plot("mll",jzbcut2.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_aboveJZB150",doPF,true);
575	>	make_kin_plot("mll",jzbcut2.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_osof_aboveJZB150",doPF,true);
576	>	make_kin_plot("mll",jzbcut2.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_ee_aboveJZB150",doPF,true);
577	>	make_kin_plot("mll",jzbcut2.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,nolog,"m_{ll} [GeV]","mll_mm_aboveJZB150",doPF,true);
578		stringstream jzbcut3;
579		jzbcut3 << "((is_data&&("<<datajzb<<")>50)||(!is_data&&("<<mcjzb<<")>50))";
580	<	make_kin_plot("mll",jzbcut3.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB50",doPF,true);
581	<	make_kin_plot("mll",jzbcut3.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_osof_aboveJZB50",doPF,true,true);
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_special_obs_pred_mll_plot(mcjzb,0);
481	<	make_special_obs_pred_mll_plot(mcjzb,50);
482	<	make_special_obs_pred_mll_plot(mcjzb,100);
483	<	make_special_obs_pred_mll_plot(mcjzb,150);
484	<	make_special_obs_pred_mll_plot(mcjzb,200);
485	<	make_special_obs_pred_mll_plot(mcjzb,250);
593	>	make_JES_plot();
594		}
595
596		void make_comp_plot( string var, string xlabel, string filename, float jzbcut, string mcjzb, string datajzb,
#	Line 516 | 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 550 | 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
#	Line 861 | Line 969 | if you want to start from scratch (witho
969		return return_functions;
970		}
971
972	<	void do_prediction_plot(string jzb, TCanvas *globalcanvas, float sigma, float high, int use_data, bool overlay_signal = false,string subdir="" )
972	>	void do_prediction_plot(string jzb, TCanvas *globalcanvas, float high, int use_data, bool overlay_signal = false,string subdir="" )
973		{
974	<	// note: sigma is not used ATM
867	<	switch_overunderflow(true);
974	>	//  switch_overunderflow(true);
975		bool is_data=false;
976		bool use_signal=false;
977		if(use_data==1) is_data=true;
#	Line 874 | Line 981 | void do_prediction_plot(string jzb, TCan
981		float low=0;
982		float hi=500;
983
877	–	stringstream largerzeroS;
878	–	largerzeroS << "("<<jzb<<">0)";
879	–	TCut largerzero(largerzeroS.str().c_str());
880	–	stringstream smallerzeroS;
881	–	smallerzeroS << "("<<jzb<<"<0)";
882	–	TCut smallerzero(smallerzeroS.str().c_str());
883	–
984		TH1F *blankback = new TH1F("blankback","blankback",int(high/10),0,high);
985	<	TH1F *RcorrJZBeemm   = allsamples.Draw("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
986	<	TH1F *LcorrJZBeemm   = allsamples.Draw("LcorrJZBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
987	<	TH1F *RcorrJZBem     = allsamples.Draw("RcorrJZBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
988	<	TH1F *LcorrJZBem     = allsamples.Draw("LcorrJZBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
985	>	TH1F *RcorrJZBeemm   = allsamples.Draw("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
986	>	TH1F *LcorrJZBeemm   = allsamples.Draw("LcorrJZBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
987	>	TH1F *RcorrJZBem     = allsamples.Draw("RcorrJZBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
988	>	TH1F *LcorrJZBem     = allsamples.Draw("LcorrJZBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
989
990		blankback->GetXaxis()->SetTitle(RcorrJZBeemm->GetXaxis()->GetTitle());
991		blankback->GetYaxis()->SetTitle(RcorrJZBeemm->GetYaxis()->GetTitle());
#	Line 902 | Line 1002 | void do_prediction_plot(string jzb, TCan
1002
1003		//these are for the ratio
1004
1005	<	TH1F *JRcorrJZBeemm   = allsamples.Draw("JRcorrJZBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
1006	<	TH1F *JLcorrJZBeemm   = allsamples.Draw("JLcorrJZBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
1007	<	TH1F *JRcorrJZBem     = allsamples.Draw("JRcorrJZBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
1008	<	TH1F *JLcorrJZBem     = allsamples.Draw("JLcorrJZBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
1005	>	TH1F *JRcorrJZBeemm   = allsamples.Draw("JRcorrJZBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1006	>	TH1F *JLcorrJZBeemm   = allsamples.Draw("JLcorrJZBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1007	>	TH1F *JRcorrJZBem     = allsamples.Draw("JRcorrJZBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1008	>	TH1F *JLcorrJZBem     = allsamples.Draw("JLcorrJZBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1009
1010		TH1F *JRcorrJZBSBem;
1011		TH1F *JLcorrJZBSBem;
1012		TH1F *JRcorrJZBSBeemm;
1013		TH1F *JLcorrJZBSBeemm;
1014
1015	<	if(use_data==2 || overlay_signal) RcorrJZBeemmNoS = allsamples.Draw("RcorrJZBeemmNoS",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,false);
1015	>	if(use_data==2 || overlay_signal) RcorrJZBeemmNoS = allsamples.Draw("RcorrJZBeemmNoS",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,false);
1016
1017
1018		if(PlottingSetup::RestrictToMassPeak) {
1019	<	RcorrJZBSBem   = allsamples.Draw("RcorrJZBSBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
1020	<	LcorrJZBSBem   = allsamples.Draw("LcorrJZBSBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
1021	<	RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
1022	<	LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
1019	>	RcorrJZBSBem   = allsamples.Draw("RcorrJZBSBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1020	>	LcorrJZBSBem   = allsamples.Draw("LcorrJZBSBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1021	>	RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1022	>	LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1023
1024		//these are for the ratio
1025	<	JRcorrJZBSBem   = allsamples.Draw("JRcorrJZBSBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
1026	<	JLcorrJZBSBem   = allsamples.Draw("JLcorrJZBSBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
1027	<	JRcorrJZBSBeemm = allsamples.Draw("JRcorrJZBSBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
1028	<	JLcorrJZBSBeemm = allsamples.Draw("JLcorrJZBSBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
1025	>	JRcorrJZBSBem   = allsamples.Draw("JRcorrJZBSBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1026	>	JLcorrJZBSBem   = allsamples.Draw("JLcorrJZBSBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
1027	>	JRcorrJZBSBeemm = allsamples.Draw("JRcorrJZBSBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1028	>	JLcorrJZBSBeemm = allsamples.Draw("JLcorrJZBSBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
1029		}
1030
1031		TH1F *lm4RcorrJZBeemm;
1032	<	if(overlay_signal || use_data == 2 || use_data == 1) lm4RcorrJZBeemm = allsamples.Draw("lm4RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,allsamples.FindSample("LM"));
1032	>	if(overlay_signal || use_data == 2 || use_data == 1) lm4RcorrJZBeemm = allsamples.Draw("lm4RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,allsamples.FindSample("LM"));
1033
1034		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- prediction changed.
1035
#	Line 939 | Line 1039 | void do_prediction_plot(string jzb, TCan
1039		TH1F *Bpred = (TH1F*)LcorrJZBeemm->Clone("Bpred");
1040		TH1F *JBpred = (TH1F*)JLcorrJZBeemm->Clone("Bpred");
1041
1042	<	TH1F *BpredSys = (TH1F*)LcorrJZBeemm->Clone("Bpredsys");
1042	>	TH1F *BpredSys = new TH1F("Bpredsys","Bpredsys",PlottingSetup::global_ratio_binning.size()-1,&PlottingSetup::global_ratio_binning[0]);
1043		ClearHisto(BpredSys);
944	–	write_error(__FUNCTION__,"Implemented systematic error but NOT drawing it yet. Need to still implement drawing, particularly in ratio.");
1044
1045		if(PlottingSetup::RestrictToMassPeak) {
1046		Bpred->Add(RcorrJZBem,1.0/3.);
#	Line 967 | Line 1066 | void do_prediction_plot(string jzb, TCan
1066		JBpred->Add(JLcorrJZBSBeemm,-1.0/3.);
1067
1068		//Systematics:
1069	<	AddSquared(BpredSys,LcorrJZBeemm,zjetsestimateuncertONPEAK*zjetsestimateuncertONPEAK);
1070	<	AddSquared(BpredSys,RcorrJZBem,emuncertONPEAK*emuncertONPEAK*(1.0/9));
1071	<	AddSquared(BpredSys,LcorrJZBem,emuncertONPEAK*emuncertONPEAK*(1.0/9));
1072	<	AddSquared(BpredSys,RcorrJZBSBem,emsidebanduncertONPEAK*emsidebanduncertONPEAK*(1.0/9));
1073	<	AddSquared(BpredSys,LcorrJZBSBem,emsidebanduncertONPEAK*emsidebanduncertONPEAK*(1.0/9));
1074	<	AddSquared(BpredSys,RcorrJZBSBeemm,eemmsidebanduncertONPEAK*eemmsidebanduncertONPEAK*(1.0/9));
1075	<	AddSquared(BpredSys,LcorrJZBSBeemm,eemmsidebanduncertONPEAK*eemmsidebanduncertONPEAK*(1.0/9));
1069	>	AddSquared(BpredSys,JLcorrJZBeemm,zjetsestimateuncertONPEAK*zjetsestimateuncertONPEAK);
1070	>	AddSquared(BpredSys,JRcorrJZBem,emuncertONPEAK*emuncertONPEAK*(1.0/9));
1071	>	AddSquared(BpredSys,JLcorrJZBem,emuncertONPEAK*emuncertONPEAK*(1.0/9));
1072	>	AddSquared(BpredSys,JRcorrJZBSBem,emsidebanduncertONPEAK*emsidebanduncertONPEAK*(1.0/9));
1073	>	AddSquared(BpredSys,JLcorrJZBSBem,emsidebanduncertONPEAK*emsidebanduncertONPEAK*(1.0/9));
1074	>	AddSquared(BpredSys,JRcorrJZBSBeemm,eemmsidebanduncertONPEAK*eemmsidebanduncertONPEAK*(1.0/9));
1075	>	AddSquared(BpredSys,JLcorrJZBSBeemm,eemmsidebanduncertONPEAK*eemmsidebanduncertONPEAK*(1.0/9));
1076		} else {
1077		Bpred->Add(RcorrJZBem,1.0);
1078		Bpred->Add(LcorrJZBem,-1.0);
#	Line 985 | Line 1084 | void do_prediction_plot(string jzb, TCan
1084		JBpred->Add(JLcorrJZBem,-1.0);
1085
1086		//Systematics
1087	<	AddSquared(BpredSys,LcorrJZBeemm,zjetsestimateuncertOFFPEAK*zjetsestimateuncertOFFPEAK);
1088	<	AddSquared(BpredSys,RcorrJZBem,emuncertOFFPEAK*emuncertOFFPEAK);
1089	<	AddSquared(BpredSys,LcorrJZBem,emuncertOFFPEAK*emuncertOFFPEAK);
1087	>	AddSquared(BpredSys,JLcorrJZBeemm,zjetsestimateuncertOFFPEAK*zjetsestimateuncertOFFPEAK);
1088	>	AddSquared(BpredSys,JRcorrJZBem,emuncertOFFPEAK*emuncertOFFPEAK);
1089	>	AddSquared(BpredSys,JLcorrJZBem,emuncertOFFPEAK*emuncertOFFPEAK);
1090
1091		}
1092
1093		SQRT(BpredSys);
1094	+	BpredSys->Divide(JBpred);
1095
1096
1097		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- prediction changed
#	Line 1051 | Line 1151 | void do_prediction_plot(string jzb, TCan
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	<	legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1154	>	legBpred->AddEntry(lm4RcorrJZBeemm,(allsamples.collection[allsamples.FindSample("LM")[0]].samplename).c_str(),"l");
1155		legBpred->Draw();
1156		DrawPrelim();
1157
#	Line 1090 | Line 1190 | void do_prediction_plot(string jzb, TCan
1190		speciallegBpred->AddEntry(RcorrJZBeemm,"Data","pl");
1191		speciallegBpred->AddEntry(Bpred,"Total background","l");
1192		speciallegBpred->AddEntry(jzbnegative,"JZB<0 (data)","f");
1193	<	speciallegBpred->AddEntry(sidebandsemu,"Sidebands/e#mu (data)","f");
1193	>	if(PlottingSetup::RestrictToMassPeak) speciallegBpred->AddEntry(sidebandsemu,"Sidebands/e#mu (data)","f");
1194	>	else speciallegBpred->AddEntry(sidebandsemu,"e#mu (data)","f");
1195		//    speciallegBpred->AddEntry(lm4RcorrJZBeemmC,"LM4","l");
1196		speciallegBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1197		speciallegBpred->Draw();
1198		save_with_ratio(JRcorrJZBeemm,JBpred,predcomppad,subdir+"Bpred_Data_____PredictionComposition",true,true,"data/pred",BpredSys);
1199
1200		TCanvas *specialcanv = new TCanvas("specialcanv","specialcanv");
1201	<	THStack kostack = allsamples.DrawStack("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,!is_data, luminosity,use_signal);
1201	>	specialcanv->SetLogy(1);
1202	>	//    THStack kostack = allsamples.DrawStack("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,!is_data, luminosity,use_signal);
1203		blankback->Draw();
1204	<	kostack.Draw("same");
1204	>	//    kostack.Draw("same");
1205	>	predcomposition.Draw();
1206		Bpred->Draw("hist,same");
1207	<	analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1207	>	//analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1208		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1209		legBpred->Draw();
1210		DrawPrelim();
1211		CompleteSave(specialcanv,subdir+"Bpred_Data_____PredictionCompositioninMC");
1212		Bpred->SetLineWidth((int)CurrentBpredLineWidth);
1213
1214	+
1215	+	//for(int i=1;i<=Bpred->GetNbinsX();i++) cout << Bpred->GetBinLowEdge(i) << ";" << Bpred->GetBinLowEdge(i)+Bpred->GetBinWidth(i) << ";;" << RcorrJZBeemm->GetBinContent(i) << ";" << LcorrJZBeemm->GetBinContent(i) << ";" << RcorrJZBem->GetBinContent(i) << ";" << LcorrJZBem->GetBinContent(i) << endl;
1216	+
1217		delete speciallegBpred;
1218		delete Zjetspred;
1219		delete TTbarpred;
#	Line 1172 | Line 1278 | void do_prediction_plot(string jzb, TCan
1278		string ytitle("ratio");
1279		if ( use_data==1 ) ytitle = "data/pred";
1280		//save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,Bpredsaveas,true,use_data!=1,ytitle);
1281	<	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,subdir+Bpredsaveas,true,true,ytitle);//not extending the y range anymore up to 4
1281	>	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,subdir+Bpredsaveas,true,true,ytitle,BpredSys);//not extending the y range anymore up to 4
1282
1283
1284		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
#	Line 1238 | Line 1344 | void do_prediction_plot(string jzb, TCan
1344		}
1345		}
1346
1347	+	TFile *f = new TFile("tester.root","RECREATE");
1348	+	RcorrJZBeemm->Write();
1349	+	Bpred->Write();
1350	+	f->Close();
1351	+
1352		delete RcorrJZBeemm;
1353		delete LcorrJZBeemm;
1354		delete RcorrJZBem;
#	Line 1250 | 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 1267 | Line 1379 | void do_prediction_plot(string jzb, TCan
1379
1380		void do_prediction_plots(string mcjzb, string datajzb, float DataSigma, float MCSigma, bool overlay_signal ) {
1381		TCanvas *globalcanvas = new TCanvas("globalcanvas","Prediction Canvas");
1382	<	do_prediction_plot(datajzb,globalcanvas,DataSigma,jzbHigh ,data,overlay_signal);
1382	>	do_prediction_plot(datajzb,globalcanvas,jzbHigh ,data,overlay_signal);
1383		if ( !PlottingSetup::Approved ) {
1384	<	do_prediction_plot(mcjzb,globalcanvas,MCSigma,jzbHigh ,mc,overlay_signal);
1385	<	do_prediction_plot(mcjzb,globalcanvas,MCSigma,jzbHigh ,mcwithsignal,overlay_signal);
1384	>	do_prediction_plot(mcjzb,globalcanvas,jzbHigh ,mc,overlay_signal);
1385	>	do_prediction_plot(mcjzb,globalcanvas,jzbHigh ,mcwithsignal,overlay_signal);
1386		} else {
1387		write_info(__FUNCTION__,"You set approved to true, therefore not producing prediction/observation plots for MC with and without signal.");
1388		}
#	Line 1705 | Line 1817 | void diboson_plots(string mcjzb, string
1817		dout << "Going to produce JZB plots" << endl;
1818		produce_stretched_jzb_plots(mcjzb,datajzb,ratio_binning);
1819		TCanvas *gloca = new TCanvas("gloca","gloca");
1708	–	float sigma=123456;
1820
1821		dout << "Going to produce prediction plots" << endl;
1822	<	do_prediction_plot(mcjzb, gloca, sigma, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do only MC plots, no signal
1823	<	do_prediction_plot(mcjzb, gloca, sigma, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do MC plots with signal
1822	>	do_prediction_plot(mcjzb, gloca, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do only MC plots, no signal
1823	>	do_prediction_plot(mcjzb, gloca, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do MC plots with signal
1824		delete gloca;
1825
1826		dout << "Going to reset the cross section for diboson samples ... " << endl;
#	Line 1723 | Line 1834 | void diboson_plots(string mcjzb, string
1834		}
1835
1836		}
1837	+
1838	+
1839	+	void draw_normalized_data_vs_data_histo(TCut cut1, TCut cut2, string variable, string legentry1, string legentry2, string savename, TCanvas *can,vector<float> binning) {
1840	+	TPad *jzbpad = new TPad("jzbpad","jzbpad",0,0,1,1);
1841	+	jzbpad->cd();
1842	+	jzbpad->SetLogy(1);
1843	+	string xlabel="JZB [GeV]";
1844	+
1845	+	TH1F *datahisto1 = allsamples.Draw("datahisto1",variable,binning, xlabel, "events",cut1,data,luminosity);
1846	+	datahisto1->SetLineColor(kRed);
1847	+	datahisto1->SetMarkerColor(kRed);
1848	+	TH1F *datahisto2 = allsamples.Draw("datahisto2",variable,binning, xlabel, "events",cut2,data,luminosity);
1849	+	datahisto2->SetLineColor(kBlue);
1850	+	datahisto2->SetMarkerColor(kBlue);
1851	+
1852	+	datahisto2->SetMarkerSize(DataMarkerSize);
1853	+	datahisto1->DrawNormalized("e1");
1854	+	datahisto2->DrawNormalized("histo,same");
1855	+	datahisto1->DrawNormalized("same,e1");
1856	+
1857	+	TLegend *leg = make_legend();
1858	+	leg->AddEntry(datahisto1,legentry1.c_str());
1859	+	leg->AddEntry(datahisto2,legentry2.c_str());
1860	+	leg->Draw();
1861	+
1862	+	save_with_ratio(datahisto1,datahisto2,jzbpad->cd(),("jzb/"+savename));
1863	+
1864	+	datahisto1->Delete();
1865	+	datahisto2->Delete();
1866	+	}
1867	+
1868	+
1869		void jzb_plots(string mcjzb, string datajzb,vector<float> ratio_binning) {
1870		TCanvas *can = new TCanvas("can","JZB Plots Canvas");
1871		float max=jzbHigh ;
#	Line 1746 | Line 1889 | void jzb_plots(string mcjzb, string data
1889		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1890		if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB",can,binning);
1891		if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB",can,binning);
1892	+
1893	+	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);
1894	+	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);
1895	+
1896		}
1897
1898		draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP_coarse",can,coarse_binning);
#	Line 2092 | Line 2239 | void draw_ttbar_and_zjets_shape(string m
2239		draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,all_leptons,threejetswith30gev,true);
2240		}
2241
2242	<	void find_correction_factors(string &jzbvardata,string &jzbvarmc) {
2096	<	//first: colorful plots
2242	>	float find_one_correction_factor(string FindKeyword, bool dodata, TCut SpecialCut, string SaveAs) {
2243		TCanvas *cancorr = new TCanvas("cancorr","Canvas for Response Correction");
2244		cancorr->SetLogz();
2245		cancorr->SetRightMargin(0.13);
2246	<	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
2101	<	TCut zptforresponsepresentation("pt<600"&&cutmass&&cutOSSF&&"((sumJetPt[1]/pt)<5.0)");
2246	>	TCut zptforresponsepresentation("pt<600"&&cutmass&&cutOSSF&&"((sumJetPt[1]/pt)<5.0)"&&SpecialCut&&passtrig);
2247		if(PlottingSetup::DoBTag) zptforresponsepresentation=zptforresponsepresentation&&PlottingSetup::bTagRequirement;
2248		TH2F *niceresponseplotd = new TH2F("niceresponseplotd","",100,0,600,100,0,5);
2249	<	(allsamples.collection)[allsamples.FindSample("Data")[0]].events->Draw("sumJetPt[1]/pt:pt>>niceresponseplotd",zptforresponsepresentation);
2249	>	vector<int> SampleIndices=allsamples.FindSample(FindKeyword);
2250	>	for(int iSample=0;iSample<(int)SampleIndices.size();iSample++) {
2251	>	if((allsamples.collection)[SampleIndices[iSample]].is_data && !dodata) continue;
2252	>	if((allsamples.collection)[SampleIndices[iSample]].is_data ==false && dodata) continue;
2253	>
2254	>	dout << "   Response correction : Using sample " << (allsamples.collection)[SampleIndices[iSample]].filename << " for " << FindKeyword << endl;
2255	>	(allsamples.collection)[SampleIndices[iSample]].events->Draw("sumJetPt[1]/pt:pt>>+niceresponseplotd",zptforresponsepresentation*cutWeight);
2256	>	}
2257	>
2258		niceresponseplotd->SetStats(0);
2259		niceresponseplotd->GetXaxis()->SetTitle("Z p_{T} [GeV]");
2260		niceresponseplotd->GetYaxis()->SetTitle("Response");
#	Line 2112 | Line 2265 | void find_correction_factors(string &jzb
2265		profd->SetMarkerSize(DataMarkerSize);
2266		profd->Fit("pol0","","same,e1",100,400);
2267		DrawPrelim();
2268	<	TText* title = write_text(0.5,0.7,"Data");
2268	>	string stitle="Data";
2269	>	if(!Contains(FindKeyword,"Data")) stitle="MC";
2270	>	TText* title = write_text(0.5,0.7,stitle.c_str());
2271		title->SetTextAlign(12);
2272		title->Draw();
2273		TF1 *datapol=(TF1*)profd->GetFunction("pol0");
2274	<	float datacorrection=datapol->GetParameter(0);
2275	<	stringstream dataresstring;
2276	<	dataresstring<<"Response: "<<std::setprecision(2)<<100*datacorrection<<" %";
2277	<	TText* restitle = write_text(0.5,0.65,dataresstring.str());
2274	>	float correction=datapol->GetParameter(0);
2275	>	stringstream resstring;
2276	>	resstring<<"Response: "<<std::setprecision(2)<<100*correction<<" %";
2277	>	TText* restitle = write_text(0.5,0.65,resstring.str());
2278		restitle->SetTextAlign(12);
2279		restitle->SetTextSize(0.03);
2280		restitle->Draw();
2281	<	CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_Data");
2282	<
2283	<	TH2F *niceresponseplotm = new TH2F("niceresponseplotm","",100,0,600,100,0,5);
2284	<	(allsamples.collection)[allsamples.FindSample("DY")[0]].events->Draw("sumJetPt[1]/pt:pt>>niceresponseplotm",zptforresponsepresentation*cutWeight);
2285	<	niceresponseplotm->SetStats(0);
2286	<	niceresponseplotm->GetXaxis()->SetTitle("Z p_{T} [GeV]");
2287	<	niceresponseplotm->GetYaxis()->SetTitle("Response");
2133	<	niceresponseplotm->GetXaxis()->CenterTitle();
2134	<	niceresponseplotm->GetYaxis()->CenterTitle();
2135	<	niceresponseplotm->Draw("COLZ");
2136	<	(allsamples.collection)[allsamples.FindSample("DY")[0]].events->Draw("sumJetPt[1]/pt:pt",zptforresponsepresentation,"PROF,same");
2137	<	TProfile * profm = (TProfile*)niceresponseplotm->ProfileX();
2138	<	profm->SetMarkerSize(DataMarkerSize);
2139	<	profm->Fit("pol0","","same,e1",100,400);
2140	<	DrawMCPrelim();
2141	<	title = write_text(0.5,0.7,"MC simulation");
2142	<	title->SetTextAlign(12);
2143	<	title->Draw();
2144	<	TF1 *mcpol=(TF1*)profm->GetFunction("pol0");
2145	<	float mccorrection=mcpol->GetParameter(0);
2146	<	stringstream mcresstring;
2147	<	mcresstring<<"Response: "<<std::setprecision(2)<<100*mccorrection<<" %";
2148	<	TText* mcrestitle = write_text(0.5,0.65,mcresstring.str());
2149	<	mcrestitle->SetTextAlign(12);
2150	<	mcrestitle->SetTextSize(0.03);
2151	<	mcrestitle->Draw();
2152	<	CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_MC");
2281	>	CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_New_"+SaveAs);
2282	>	delete cancorr;
2283	>	delete niceresponseplotd;
2284	>	return correction;
2285	>	}
2286	>
2287	>	void find_correction_factors(string &jzbvardata,string &jzbvarmc) {
2288
2289	+	dout << "Computing response corrections: " << endl;
2290	+	//Step 1 : Get results
2291	+	float datacorrection=find_one_correction_factor("Data",true,"","Data");
2292	+	float mccorrection=find_one_correction_factor("DY",false,"","MC");
2293	+
2294	+	float dataEEcorrection=find_one_correction_factor("Data",true,"id1==0","Data_ee");
2295	+	float mcEEcorrection=find_one_correction_factor("DY",false,"id1==0","MC_ee");
2296	+
2297	+	float dataMMcorrection=find_one_correction_factor("Data",true,"id1==1","Data_mm");
2298	+	float mcMMcorrection=find_one_correction_factor("DY",false,"id1==1","MC_mm");
2299	+
2300	+	cout << "Corrections : " << endl;
2301	+	cout << "   Data : " << datacorrection << endl;
2302	+	cout << "     ee (" << dataEEcorrection << ") , mm (" << dataMMcorrection << ")" << endl;
2303	+	cout << "   MC : " << mccorrection << endl;
2304	+	cout << "     ee (" << mcEEcorrection << ") , mm (" << mcMMcorrection << ")" << endl;
2305
2306	<	//Step 2: Getting the result
2156	<	//  TCut zptcutforresponse("pt>30&&pt<300&&TMath::Abs(91.2-mll)<20&&id1==id2&&(ch1*ch2<0)");
2306	>	//Step 2: Processing the result and making it into something useful :-)
2307		stringstream jzbvardatas;
2308	<	if(datacorrection>1) jzbvardatas<<"(jzb[1]-"<<datacorrection-1<<"*pt)";
2309	<	if(datacorrection<1) jzbvardatas<<"(jzb[1]+"<<1-datacorrection<<"*pt)";
2308	>	jzbvardatas << "(";
2309	>
2310	>	if(dataEEcorrection>=1) jzbvardatas<<"((id1==0&&id1==id2)*(jzb[1]-" << dataEEcorrection-1 << "*pt))";
2311	>	if(dataEEcorrection<1)  jzbvardatas<<"((id1==0&&id1==id2)*(jzb[1]+" << 1-dataEEcorrection << "*pt))";
2312	>
2313	>	if(dataMMcorrection>=1) jzbvardatas<<"+((id1==1&&id1==id2)*(jzb[1]-" << dataMMcorrection-1 << "*pt))";
2314	>	if(dataMMcorrection<1)  jzbvardatas<<"+((id1==1&&id1==id2)*(jzb[1]+" << 1-dataMMcorrection << "*pt))";
2315	>
2316	>	float averagecorrection=(dataMMcorrection+dataEEcorrection)/2.0;
2317	>
2318	>	if(datacorrection>=1) jzbvardatas<<"+((id1!=id2)*(jzb[1]-" << datacorrection-1 << "*pt))";
2319	>	if(datacorrection<1) jzbvardatas<<"+((id1!=id2)*(jzb[1]+" << 1-datacorrection << "*pt))";
2320	>
2321	>	jzbvardatas << ")";
2322		jzbvardata=jzbvardatas.str();
2323	+
2324		stringstream jzbvarmcs;
2325	<	if(mccorrection>1) jzbvarmcs<<"(jzb[1]-"<<mccorrection-1<<"*pt)";
2326	<	if(mccorrection<1) jzbvarmcs<<"(jzb[1]+"<<1-mccorrection<<"*pt)";
2325	>	jzbvarmcs << "(";
2326	>
2327	>	if(mcEEcorrection>=1) jzbvarmcs<<"((id1==0&&id1==id2)*(jzb[1]-" << mcEEcorrection-1 << "*pt))";
2328	>	if(mcEEcorrection<1)  jzbvarmcs<<"((id1==0&&id1==id2)*(jzb[1]+" << 1-mcEEcorrection << "*pt))";
2329	>
2330	>	if(mcMMcorrection>=1) jzbvarmcs<<"+((id1==1&&id1==id2)*(jzb[1]-" << mcMMcorrection-1 << "*pt))";
2331	>	if(mcMMcorrection<1)  jzbvarmcs<<"+((id1==1&&id1==id2)*(jzb[1]+" << 1-mcMMcorrection << "*pt))";
2332	>
2333	>	float averagemccorrection=(mcMMcorrection+mcEEcorrection)/2.0;
2334	>
2335	>	if(mccorrection>=1) jzbvarmcs<<"+((id1!=id2)*(jzb[1]-" << mccorrection-1 << "*pt))";
2336	>	if(mccorrection<1) jzbvarmcs<<"+((id1!=id2)*(jzb[1]+" << 1-mccorrection << "*pt))";
2337	>
2338	>	jzbvarmcs << ")";
2339		jzbvarmc=jzbvarmcs.str();
2340	+
2341		dout << "JZB Z pt correction summary : " << endl;
2342		dout << "  Data: The response is " << datacorrection << "  --> jzb variable is now : " << jzbvardata << endl;
2343		dout << "  MC  : The response is " << mccorrection << "  --> jzb variable is now : " << jzbvarmc << endl;
2344	+
2345		}
2346
2347		void pick_up_events(string cut) {
#	Line 2258 | Line 2435 | void ttbar_sidebands_comparison(string m
2435		//in the case of the on peak analysis, we compare the 3 control regions to the real value
2436		//in the case of the OFF peak analysis, we compare our control region to the real value
2437		TCut weightbackup=cutWeight;
2261	–	//  cutWeight="1.0";
2262	–	float simulatedlumi = luminosity; //in pb please - adjust to your likings
2438
2439	+	bool doPURW=false;
2440	+
2441	+
2442	+	if(!doPURW) {
2443	+	cutWeight="1.0";
2444	+	// Do it without PU re-weighting
2445	+	float MCPeakNoPU=0,MCPeakErrorNoPU=0,DataPeakNoPU=0,DataPeakErrorNoPU=0,MCSigma=0,DataSigma=0;
2446	+	stringstream resultsNoPU;
2447	+	stringstream noPUdatajzb;
2448	+	stringstream noPUmcjzb;
2449	+
2450	+	stringstream mcjzbnoPU;
2451	+	find_peaks(MCPeakNoPU,MCPeakErrorNoPU, DataPeakNoPU, DataPeakErrorNoPU,resultsNoPU,true,noPUdatajzb,noPUmcjzb);
2452	+	if(MCPeakNoPU>0) mcjzbnoPU<<"("<<jzbvariablemc<<"-"<<TMath::Abs(MCPeakNoPU)<<")";
2453	+	else mcjzbnoPU<<"("<<jzbvariablemc<<"+"<<TMath::Abs(MCPeakNoPU)<<")";
2454	+	dout << "The peak corrected JZB expression for MC without pileup is : " <<  mcjzbnoPU.str() << endl;
2455	+
2456	+	mcjzb = mcjzbnoPU.str();
2457	+
2458	+	}
2459	+
2460	+
2461	+
2462	+
2463	+
2464	+
2465	+	float simulatedlumi = luminosity; //in pb please - adjust to your likings
2466
2467		TH1F *TZem = systsamples.Draw("TZem",mcjzb,binning,"JZB [GeV]","events",cutmass&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2468		TH1F *nTZem = systsamples.Draw("nTZem","-"+mcjzb,binning,"JZB [GeV]","events",cutmass&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
#	Line 2298 | Line 2500 | void ttbar_sidebands_comparison(string m
2500		}
2501
2502		vector<TH1F*> histos;
2503	+	TZem->GetXaxis()->SetRangeUser(-100,binning[binning.size()-1]);
2504	+	TZeemm->GetXaxis()->SetRangeUser(-100,binning[binning.size()-1]);
2505		histos.push_back(TZem);
2506		histos.push_back(TZeemm);
2507		if(PlottingSetup::RestrictToMassPeak) {
2508	+	TSeemm->GetXaxis()->SetRangeUser(-100,binning[binning.size()-1]);
2509	+	TSem->GetXaxis()->SetRangeUser(-100,binning[binning.size()-1]);
2510		histos.push_back(TSem);
2511		histos.push_back(TSeemm);
2512		}
#	Line 2343 | Line 2549 | void ttbar_sidebands_comparison(string m
2549		TSeemm->Draw("same");
2550		}
2551
2552	<	float linepos=0.25;
2553	<	if(PlottingSetup::RestrictToMassPeak) linepos=0.25;
2554	<	if(!PlottingSetup::RestrictToMassPeak) linepos=0.1; //sys uncertainty for iJZB
2552	>	float linepos=emuncertONPEAK;
2553	>	if(!PlottingSetup::RestrictToMassPeak) linepos=emuncertOFFPEAK;
2554	>
2555		TLine *top = new TLine(binning[0],1.0+linepos,binning[binning.size()-1],1.0+linepos);
2556		TLine *center = new TLine(binning[0],1.0,binning[binning.size()-1],1.0);
2557		TLine *bottom = new TLine(binning[0],1.0-linepos,binning[binning.size()-1],1.0-linepos);
#	Line 2427 | Line 2633 | void ttbar_sidebands_comparison(string m
2633		tcan->SetLogy(0);
2634		rightofzp->Divide(rightsfzp);
2635		rightofzp->GetXaxis()->SetRangeUser(0.0,binning[binning.size()-1]);
2636	<	rightofzp->GetYaxis()->SetRangeUser(0.0,2.0);
2636	>	rightofzp->GetYaxis()->SetRangeUser(0.0,2.5);
2637		rightofzp->GetYaxis()->SetTitle("#deltaJZB ratio");
2638		rightofzp->Draw();
2639		if(PlottingSetup::RestrictToMassPeak) {
#	Line 2487 | Line 2693 | void ttbar_sidebands_comparison(string m
2693
2694		void ttbar_sidebands_comparison(string mcjzb, vector<float> jzb_binning) {
2695		vector<float> nicer_binning;
2696	<	nicer_binning.push_back(-125);
2696	>
2697	>	/*  nicer_binning.push_back(-400);
2698	>	nicer_binning.push_back(-250);
2699	>	nicer_binning.push_back(-200);
2700	>	nicer_binning.push_back(-150);
2701	>	nicer_binning.push_back(-100);
2702	>	nicer_binning.push_back(-50);
2703	>	nicer_binning.push_back(-20);
2704	>
2705	>	nicer_binning.push_back(0);
2706	>	nicer_binning.push_back(20);
2707	>	nicer_binning.push_back(50);
2708	>	nicer_binning.push_back(100);
2709	>	nicer_binning.push_back(150);
2710	>	nicer_binning.push_back(200);
2711	>	nicer_binning.push_back(250);
2712	>	nicer_binning.push_back(400);*/
2713	>
2714		nicer_binning.push_back(-100);
2492	–	nicer_binning.push_back(-75);
2715		nicer_binning.push_back(-50);
2716		nicer_binning.push_back(-25);
2717		nicer_binning.push_back(0);
#	Line 2504 | Line 2726 | void ttbar_sidebands_comparison(string m
2726		nicer_binning.push_back(230);
2727		nicer_binning.push_back(280);
2728		nicer_binning.push_back(400);
2729	+
2730		ttbar_sidebands_comparison(mcjzb,nicer_binning, "ttbar/");
2731		}
2732
2733
2734	<	void zjets_prediction_comparison(string mcjzbWithPU) {
2734	>	void zjets_prediction_comparison(string mcjzbWithPUa) {
2735		TCanvas *zcan = new TCanvas("zcan","zcan");
2736		zcan->SetLogy(1);
2737		TCut weightbackup=cutWeight;
2738
2739	<	/*
2739	>
2740		// Do it without PU re-weighting
2741		float MCPeakNoPU=0,MCPeakErrorNoPU=0,DataPeakNoPU=0,DataPeakErrorNoPU=0,MCSigma=0,DataSigma=0;
2742		stringstream resultsNoPU;
2743	+	stringstream noPUdatajzb;
2744	+	stringstream noPUmcjzb;
2745
2746		stringstream mcjzbnoPU;
2747	<	find_peaks(MCPeakNoPU,MCPeakErrorNoPU, DataPeakNoPU, DataPeakErrorNoPU,MCSigma,DataSigma,resultsNoPU,true);
2747	>	//  void find_peaks(float &MCPeak,float &MCPeakError, float &DataPeak, float &DataPeakError, stringstream &result, bool doPUreweighting, stringstream &datajzb, stringstream &mcjzb)
2748	>	find_peaks(MCPeakNoPU,MCPeakErrorNoPU, DataPeakNoPU, DataPeakErrorNoPU,resultsNoPU,true,noPUdatajzb,noPUmcjzb);
2749		if(MCPeakNoPU>0) mcjzbnoPU<<"("<<jzbvariablemc<<"-"<<TMath::Abs(MCPeakNoPU)<<")";
2750		else mcjzbnoPU<<"("<<jzbvariablemc<<"+"<<TMath::Abs(MCPeakNoPU)<<")";
2751	+	dout << "The peak corrected JZB expression for MC without pileup is : " <<  mcjzbnoPU.str() << endl;
2752
2753		string mcjzb = mcjzbnoPU.str();
2527	–	dout << "The peak corrected JZB expression for MC without pileup is : " <<  mcjzb << endl;
2754
2755		cutWeight="1.0";
2756	<	*/
2531	<	string mcjzb = mcjzbWithPU; // this is with PURW, if you want without it you have to uncomment the part above (and comment out this line)
2756	>
2757
2758		vector<float> binning;
2759		binning.push_back(0);
2760	+	binning.push_back(10);
2761		binning.push_back(20);
2762		binning.push_back(40);
2763	<	binning.push_back(60);
2538	<	binning.push_back(80);
2763	>	//  binning.push_back(80);
2764		binning.push_back(100);
2765		//  float sbg_min=0.;
2766		//  float sbg_max=100.;
#	Line 2567 | Line 2792 | void zjets_prediction_comparison(string
2792		TH1F* hratio = (TH1F*)hJZBpos->Clone("hratio");
2793		hratio->Divide(hJZBneg);
2794
2795	+	for(int i=1;i<=hJZBpos->GetNbinsX();i++) {
2796	+	cout << "Positive: " << hJZBpos->GetBinContent(i) << "   vs    Negative : " << hJZBneg->GetBinContent(i) << endl;
2797	+	}
2798	+
2799		zcan->SetLogy(0);
2800		hratio->GetYaxis()->SetRangeUser(0,2.5);
2801		hratio->GetYaxis()->SetTitle("Observed/Predicted");
#	Line 3139 | Line 3368 | void test() {
3368
3369		TCanvas *testcanv = new TCanvas("testcanv","testcanv");
3370		testcanv->cd();
3371	<	switch_overunderflow(true);
3371	>	//  switch_overunderflow(true);
3372		TH1F *ptdistr   = allsamples.Draw("ptdistr","pt1",100,30,200, "p_{T} [GeV]", "events", cutOSSF,data,luminosity);
3373		switch_overunderflow(false);
3374		ptdistr->Draw();

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