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Comparing UserCode/cbrown/Development/Plotting/Modules/Plotting_Functions.C (file contents):
Revision 1.23 by buchmann, Thu Jun 7 08:16:28 2012 UTC vs.
Revision 1.39 by buchmann, Mon Jul 16 04:42:37 2012 UTC

#	Line 28 | Line 28 | void todo() {
28		dout << "Info : The pt requirement is currently set to " << (const char*) passtrig << endl;
29		dout << "Info : The mll requirement is currently set to " << (const char*) cutmass << endl;
30		dout << "Info : The lepton requirement is currently set to " << (const char*) leptoncut << endl;
31	+	dout << "Info : The weight applied to all MC is " << (const char*) cutWeight << endl;
32		}
33
34	<	void find_peaks(float &MCPeak,float &MCPeakError, float &DataPeak, float &DataPeakError, float &MCSigma, float &DataSigma, stringstream &result, bool doPUreweighting = true )
34	>
35	>
36	>	void find_one_peak_combination(TCut specialcut, float &MCPeak,float &MCPeakError, float &DataPeak, float &DataPeakError, float &MCSigma, float &DataSigma, stringstream &result, bool doPUreweighting = true, string saveas="")
37		{
38		// Temporarily switch off PU reweighting, if asked
39		TCut weightbackup=cutWeight;
40		if ( !doPUreweighting ) cutWeight="1.0";
41
42	+	int nbins=100;
43	+	if(PlottingSetup::DoBTag) nbins=25;
44	+
45		TCanvas *tempcan = new TCanvas("tempcan","Temporary canvas for peak finding preparations");
46	<	TH1F *rawJZBeemmMC      = allsamples.Draw("rawJZBeemmMC",jzbvariablemc,100,-50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,mc, luminosity);
47	<	TH1F *rawJZBeemmData    = allsamples.Draw("rawJZBeemmData",jzbvariabledata,100, -50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,data, luminosity);
48	<	TH1F *rawJZBemMC      = allsamples.Draw("rawJZBemMC",jzbvariablemc,100,-50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,mc, luminosity);
49	<	TH1F *rawJZBemData    = allsamples.Draw("rawJZBemData",jzbvariabledata,100, -50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,data, luminosity);
46	>	TH1F *rawJZBeemmMC      = allsamples.Draw("rawJZBeemmMC",jzbvariablemc,nbins,-50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&specialcut,mc, luminosity);
47	>	TH1F *rawJZBeemmData    = allsamples.Draw("rawJZBeemmData",jzbvariabledata,nbins, -50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&specialcut,data, luminosity);
48	>	TH1F *rawJZBemMC      = allsamples.Draw("rawJZBemMC",jzbvariablemc,nbins,-50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&specialcut,mc, luminosity);
49	>	TH1F *rawJZBemData    = allsamples.Draw("rawJZBemData",jzbvariabledata,nbins, -50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&specialcut,data, luminosity);
50		TH1F *rawttbarjzbeemmMC;
51
52		if(method==doKM) {
53		//we only need this histo for the KM fitting...
54	<	rawttbarjzbeemmMC = allsamples.Draw("rawttbarjzbeemmMC",jzbvariablemc,100, -50,50, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,luminosity,allsamples.FindSample("TTJet"));
55	<	MCPeak=find_peak(rawJZBeemmMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method);
56	<	DataPeak=find_peak(rawJZBeemmData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method);
54	>	rawttbarjzbeemmMC = allsamples.Draw("rawttbarjzbeemmMC",jzbvariablemc,nbins, -50,50, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets&&specialcut,mc,luminosity,allsamples.FindSample("TTJet"));
55	>	MCPeak=find_peak(rawJZBeemmMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method,saveas);
56	>	DataPeak=find_peak(rawJZBeemmData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method,saveas);
57	>	delete rawttbarjzbeemmMC;
58		}
59		else {
60		TH1F *reducedMC = (TH1F*)rawJZBeemmMC->Clone();
#	Line 55 | Line 62 | void find_peaks(float &MCPeak,float &MCP
62		reducedMC->Add(rawJZBemMC,-1);
63		reducedData->Add(rawJZBemData,-1);
64		//this is Kostas' way of doing it - we subtract em to get rid of some of the ttbar contribution (in reality, of flavor-symmetric contribution)
65	<	MCPeak=find_peak(reducedMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method);
66	<	DataPeak=find_peak(reducedData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method);
67	<
65	>	MCPeak=find_peak(reducedMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method,saveas);
66	>	DataPeak=find_peak(reducedData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method,saveas);
67	>	delete reducedMC;
68	>	delete reducedData;
69		}
70
71		// Revert to original PU reweighting
#	Line 65 | Line 73 | void find_peaks(float &MCPeak,float &MCP
73
74		//  MCPeak=find_peak(rawJZBeemmMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method);
75		//  DataPeak=find_peak(rawJZBeemmData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method);
76	<	dout << "We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
77	<	result << "We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
78	<	dout << "We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
79	<	result << "We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
76	>	dout   << "   We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
77	>	result << "   We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
78	>	dout   << "   We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
79	>	result << "   We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
80	>	delete rawJZBeemmData;
81	>	delete rawJZBeemmMC;
82	>	delete rawJZBemData;
83	>	delete rawJZBemMC;
84		delete tempcan;
85		}
86
87	<	void make_special_obs_pred_mll_plot(string mcjzb, float jzbthreshold) {
87	>	void find_peaks(float &MCPeak,float &MCPeakError, float &DataPeak, float &DataPeakError, stringstream &result, bool doPUreweighting, stringstream &datajzb, stringstream &mcjzb)
88	>	{
89	>
90	>	bool DoInvidualeemmPeaks=false;
91	>
92	>	float mcpeak, datapeak;
93	>	float mcpeakerr, datapeakerr;
94	>
95	>	float mceepeak,mcmmpeak;
96	>	float mceepeakerr,mcmmpeakerr;
97	>
98	>	float datammpeak,dataeepeak;
99	>	float datammpeakerr,dataeepeakerr;
100	>
101	>	float mcSigma, dataSigma;
102	>
103	>	dout << "Finding global peak : " << endl;
104	>	find_one_peak_combination(TCut(""),mcpeak,mcpeakerr, datapeak,datapeakerr,mcSigma, dataSigma,result,doPUreweighting,"");
105	>
106	>	if(DoInvidualeemmPeaks) {
107	>	dout << "Finding peak for electrons : " << endl;
108	>	find_one_peak_combination(TCut("id1==0"),mceepeak,mceepeakerr, dataeepeak,dataeepeakerr,mcSigma, dataSigma,result,doPUreweighting,"_ele");
109	>	dout << "Finding peak for muons : " << endl;
110	>	find_one_peak_combination(TCut("id1==1"),mcmmpeak,mcmmpeakerr, datammpeak,datammpeakerr,mcSigma, dataSigma,result,doPUreweighting,"_mu");
111	>
112	>	datajzb << "(" << jzbvariabledata;
113	>	mcjzb << "(" << jzbvariablemc;
114	>
115	>	if(dataeepeak>0) datajzb << "- (id1==id2)*(id1==0)*" << TMath::Abs(dataeepeak) << " ";
116	>	else datajzb << "+ (id1==id2)*(id1==0)*" << TMath::Abs(dataeepeak) << " ";
117	>
118	>	if(datammpeak>0) datajzb << "- (id1==id2)*(id1==1)*" << TMath::Abs(datammpeak) << " ";
119	>	else datajzb << "+ (id1==id2)*(id1==1)*" << TMath::Abs(datammpeak) << " ";
120	>
121	>	if(datapeak>0) datajzb << "- (id1!=id2)*" << TMath::Abs(datapeak) << " ";
122	>	else datajzb << "+ (id1!=id2)*" << TMath::Abs(datapeak) << " ";
123	>
124	>	datajzb << ")";
125	>
126	>	if(mceepeak>0) mcjzb << "- (id1==id2)*(id1==0)*" << TMath::Abs(mceepeak) << " ";
127	>	else mcjzb << "+ (id1==id2)*(id1==0)*" << TMath::Abs(mceepeak) << " ";
128	>
129	>	if(mcmmpeak>0) mcjzb << "- (id1==id2)*(id1==1)*" << TMath::Abs(mcmmpeak) << " ";
130	>	else mcjzb << "+ (id1==id2)*(id1==1)*" << TMath::Abs(mcmmpeak) << " ";
131	>
132	>	if(mcpeak>0) mcjzb << "- (id1!=id2)*" << TMath::Abs(mcpeak) << " ";
133	>	else mcjzb << "+ (id1!=id2)*" << TMath::Abs(mcpeak) << " ";
134	>
135	>	mcjzb << ")";
136	>	} else {
137	>	datajzb << "(" << jzbvariabledata;
138	>	mcjzb << "(" << jzbvariablemc;
139	>
140	>	if(datapeak>0) datajzb << "- " << TMath::Abs(datapeak) << " ";
141	>	else datajzb << "+ " << TMath::Abs(datapeak) << " ";
142	>
143	>	datajzb << ")";
144	>
145	>	if(mcpeak>0) mcjzb << "- " << TMath::Abs(mcpeak) << " ";
146	>	else mcjzb << "+ " << TMath::Abs(mcpeak) << " ";
147	>
148	>	mcjzb << ")";
149	>	}
150	>
151	>
152	>	}
153	>
154	>	void make_special_obs_pred_mll_plot(string datajzb, string mcjzb, float jzbthreshold) {
155		float min=70.0;
156		float max=115.0;
157		if(!PlottingSetup::RestrictToMassPeak) {
158	<	min=10;
159	<	max=150;
158	>	min=20;
159	>	max=200;
160		}
161		int nbins=int((max-min)/5);
162
163		TCanvas *ckin = new TCanvas("ckin","Kinematic Plots (in the making)",600,600);
164
165		stringstream largerzeroS;
166	<	largerzeroS << "(" << mcjzb << ">" << jzbthreshold << ")";
167	<	TCut largerzero(largerzeroS.str().c_str());
166	>	largerzeroS << "(" << datajzb << ">" << jzbthreshold << ")";
167	>	TCut largerzeroD(largerzeroS.str().c_str());
168
169		stringstream smallerzeroS;
170	<	smallerzeroS << "(" << mcjzb << "<-" << jzbthreshold << ")";
171	<	TCut smallerzero(smallerzeroS.str().c_str());
172	<
173	<	TH1F *RcorrJZBeemm     = allsamples.Draw("RcorrJZBeemm",       "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,data,luminosity);
174	<	THStack mcRcorrJZBeemm = allsamples.DrawStack("mcRcorrJZBeemm","mll",nbins,min,max, "m_{ll} [GeV}", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,mc,luminosity);
175	<	TH1F *LcorrJZBeemm     = allsamples.Draw("LcorrJZBeemm",       "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&smallerzero,data,luminosity);
176	<	TH1F *RcorrJZBem       = allsamples.Draw("RcorrJZBem",         "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&largerzero,data,luminosity);
177	<	TH1F *LcorrJZBem       = allsamples.Draw("LcorrJZBem",         "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&smallerzero,data,luminosity);
170	>	smallerzeroS << "(" << datajzb << "<-" << jzbthreshold << ")";
171	>	TCut smallerzeroD(smallerzeroS.str().c_str());
172	>
173	>
174	>	stringstream largerzeroMS;
175	>	largerzeroMS << "(" << mcjzb << ">" << jzbthreshold << ")";
176	>	TCut largerzeroM(largerzeroMS.str().c_str());
177	>
178	>	TH1F *RcorrJZBeemm     = allsamples.Draw("RcorrJZBeemm",       "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzeroD,data,luminosity);
179	>	THStack mcRcorrJZBeemm = allsamples.DrawStack("mcRcorrJZBeemm","mll",nbins,min,max, "m_{ll} [GeV}", "events", cutmass&&cutOSSF&&cutnJets&&largerzeroM,mc,luminosity);
180	>	TH1F *LcorrJZBeemm     = allsamples.Draw("LcorrJZBeemm",       "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&smallerzeroD,data,luminosity);
181	>	TH1F *RcorrJZBem       = allsamples.Draw("RcorrJZBem",         "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&largerzeroD,data,luminosity);
182	>	TH1F *LcorrJZBem       = allsamples.Draw("LcorrJZBem",         "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&smallerzeroD,data,luminosity);
183
184		TH1F *RcorrJZBSBem;
185		TH1F *LcorrJZBSBem;
#	Line 105 | 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 140 | Line 224 | void make_special_obs_pred_mll_plot(stri
224		stringstream saveas;
225		saveas << "kin/Mll_After_Cut/Cut_At" << jzbthreshold;
226		CompleteSave(ckin,saveas.str());
227	+
228	+
229	+
230	+	RcorrJZBeemm->Draw();
231	+	Bpred->Draw("histo,same");
232	+	RcorrJZBeemm->Draw("same");
233	+
234	+	TLegend *leg2 = make_legend();
235	+	leg2->SetX1(0.58);
236	+	leg2->AddEntry(RcorrJZBeemm,"observed (data)","l");
237	+	leg2->AddEntry(Bpred,"predicted (data)","l");
238	+	leg2->Draw("same");
239	+
240	+	saveas.str("");
241	+	saveas << "kin/Mll_After_Cut/Cut_At" << jzbthreshold << "_nomc";
242	+	CompleteSave(ckin,saveas.str());
243	+
244	+
245
246		delete RcorrJZBeemm;
247		delete LcorrJZBeemm;
#	Line 281 | 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 393 | Line 497 | void make_JES_plot() {
497		TH1F *datahisto = allsamples.Draw("datahisto","pfJetGoodNum",nbins,min,max, xlabel, "events",cut,data,luminosity);
498		datahisto->SetMarkerSize(DataMarkerSize);
499		THStack mcstack = allsamples.DrawStack("mcstack","pfJetGoodNum",nbins,min,max, xlabel, "events",cut,mc,luminosity);
500	<	TH1F *JESup = allsamples.Draw("JESup","pfJetGoodNum315",nbins,min,max, xlabel, "events",cut,mc,luminosity);
501	<	TH1F *JESdn = allsamples.Draw("JESdn","pfJetGoodNum285",nbins,min,max, xlabel, "events",cut,mc,luminosity);
500	>	TH1F *JESup = allsamples.Draw("JESup","pfJetGoodNump1sigma",nbins,min,max, xlabel, "events",cut,mc,luminosity);
501	>	TH1F *JESdn = allsamples.Draw("JESdn","pfJetGoodNumn1sigma",nbins,min,max, xlabel, "events",cut,mc,luminosity);
502
503		datahisto->SetMinimum(1);
504		datahisto->SetMaximum(5.3*datahisto->GetMaximum()); // in line with kinematic plots style
#	Line 461 | 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);   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);
477	<	make_special_obs_pred_mll_plot(mcjzb,50);
478	<	make_special_obs_pred_mll_plot(mcjzb,100);
479	<	make_special_obs_pred_mll_plot(mcjzb,150);
480	<	make_special_obs_pred_mll_plot(mcjzb,200);
481	<	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 512 | 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 546 | 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 857 | 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
863	<	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 870 | Line 981 | void do_prediction_plot(string jzb, TCan
981		float low=0;
982		float hi=500;
983
873	–	stringstream largerzeroS;
874	–	largerzeroS << "("<<jzb<<">0)";
875	–	TCut largerzero(largerzeroS.str().c_str());
876	–	stringstream smallerzeroS;
877	–	smallerzeroS << "("<<jzb<<"<0)";
878	–	TCut smallerzero(smallerzeroS.str().c_str());
879	–
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 898 | 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 935 | 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);
940	–	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 963 | 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 981 | 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 1045 | Line 1149 | void do_prediction_plot(string jzb, TCan
1149		lm4RcorrJZBeemm->Draw("hist,same");
1150		legBpred->AddEntry(RcorrJZBeemm,"observed","p");
1151		legBpred->AddEntry(Bpred,"predicted","l");
1152	<	legBpred->AddEntry(analytical_function[1],"predicted fit","l");
1153	<	legBpred->AddEntry(analytical_function[2],"stat. uncert.","l");
1154	<	if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1152	>	//    legBpred->AddEntry(analytical_function[1],"predicted fit","l");
1153	>	//    legBpred->AddEntry(analytical_function[2],"stat. uncert.","l");
1154	>	legBpred->AddEntry(lm4RcorrJZBeemm,(allsamples.collection[allsamples.FindSample("LM")[0]].samplename).c_str(),"l");
1155		legBpred->Draw();
1156		DrawPrelim();
1157
#	Line 1086 | Line 1190 | void do_prediction_plot(string jzb, TCan
1190		speciallegBpred->AddEntry(RcorrJZBeemm,"Data","pl");
1191		speciallegBpred->AddEntry(Bpred,"Total background","l");
1192		speciallegBpred->AddEntry(jzbnegative,"JZB<0 (data)","f");
1193	<	speciallegBpred->AddEntry(sidebandsemu,"Sidebands/e#mu (data)","f");
1193	>	if(PlottingSetup::RestrictToMassPeak) speciallegBpred->AddEntry(sidebandsemu,"Sidebands/e#mu (data)","f");
1194	>	else speciallegBpred->AddEntry(sidebandsemu,"e#mu (data)","f");
1195		//    speciallegBpred->AddEntry(lm4RcorrJZBeemmC,"LM4","l");
1196		speciallegBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1197		speciallegBpred->Draw();
1198	<	save_with_ratio(JRcorrJZBeemm,JBpred,predcomppad,subdir+"Bpred_Data_____PredictionComposition",true,use_data!=1,"data/pred");
1198	>	save_with_ratio(JRcorrJZBeemm,JBpred,predcomppad,subdir+"Bpred_Data_____PredictionComposition",true,true,"data/pred",BpredSys);
1199
1200		TCanvas *specialcanv = new TCanvas("specialcanv","specialcanv");
1201	<	THStack kostack = allsamples.DrawStack("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,!is_data, luminosity,use_signal);
1201	>	specialcanv->SetLogy(1);
1202	>	//    THStack kostack = allsamples.DrawStack("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,!is_data, luminosity,use_signal);
1203		blankback->Draw();
1204	<	kostack.Draw("same");
1204	>	//    kostack.Draw("same");
1205	>	predcomposition.Draw();
1206		Bpred->Draw("hist,same");
1207	<	analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1207	>	//analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1208		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1209		legBpred->Draw();
1210		DrawPrelim();
1211		CompleteSave(specialcanv,subdir+"Bpred_Data_____PredictionCompositioninMC");
1212		Bpred->SetLineWidth((int)CurrentBpredLineWidth);
1213
1214	+
1215	+	//for(int i=1;i<=Bpred->GetNbinsX();i++) cout << Bpred->GetBinLowEdge(i) << ";" << Bpred->GetBinLowEdge(i)+Bpred->GetBinWidth(i) << ";;" << RcorrJZBeemm->GetBinContent(i) << ";" << LcorrJZBeemm->GetBinContent(i) << ";" << RcorrJZBem->GetBinContent(i) << ";" << LcorrJZBem->GetBinContent(i) << endl;
1216	+
1217		delete speciallegBpred;
1218		delete Zjetspred;
1219		delete TTbarpred;
#	Line 1168 | Line 1278 | void do_prediction_plot(string jzb, TCan
1278		string ytitle("ratio");
1279		if ( use_data==1 ) ytitle = "data/pred";
1280		//save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,Bpredsaveas,true,use_data!=1,ytitle);
1281	<	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,subdir+Bpredsaveas,true,false,ytitle);//not extending the y range anymore up to 4
1281	>	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,subdir+Bpredsaveas,true,true,ytitle,BpredSys);//not extending the y range anymore up to 4
1282
1283
1284		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1285	<	/// The part below is meaningless for the offpeak analysis (it's a comparison of the different estimates but there is but one estimate!)
1285	>	// The part below is meaningless for the offpeak analysis (it's a comparison of the different estimates but there is but one estimate!)
1286		if(PlottingSetup::RestrictToMassPeak) {
1287		TH1F *Bpredem = (TH1F*)LcorrJZBeemm->Clone("Bpredem");
1288		Bpredem->Add(RcorrJZBem);
#	Line 1234 | 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 1246 | 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 1263 | 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 1701 | 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");
1704	–	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 1719 | 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 1742 | 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	+	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);
1893	+	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);
1894	+	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);
1895	+
1896		}
1897
1898		draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP_coarse",can,coarse_binning);
#	Line 2088 | 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) {
2092	<	//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
2247	<	TCut zptforresponsepresentation("pt<600"&&cutmass&&cutOSSF&&"((sumJetPt[1]/pt)<5.0)");
2248	<	if(PlottingSetup::DoBTag) zptforresponsepresentation=zptforresponsepresentation&&PlottingSetup::bTagRequirement;
2249	<	TH2F *niceresponseplotd = new TH2F("niceresponseplotd","",100,0,600,100,0,5);
2250	<	(allsamples.collection)[allsamples.FindSample("Data")[0]].events->Draw("sumJetPt[1]/pt:pt>>niceresponseplotd",zptforresponsepresentation);
2246	>	TCut zptbasecutforresponsepresentation("pt<600&&((sumJetPt[1]/pt)<5.0)"&&SpecialCut&&passtrig);
2247	>
2248	>	//  TCut zptforresponsepresentation("pt<600"&&cutmass&&cutOSSF&&"((sumJetPt[1]/pt)<5.0)"&&SpecialCut&&passtrig);
2249	>	if(PlottingSetup::DoBTag) zptbasecutforresponsepresentation=zptbasecutforresponsepresentation&&PlottingSetup::bTagRequirement;
2250	>	TH2F *niceresponseplotd = new TH2F("niceresponseplotd","",100,0,600,100,0,5);
2251	>	TH2F *niceresponseplotd_SFSB = new TH2F("niceresponseplotd_SFSB","",100,0,600,100,0,5);
2252	>	TH2F *niceresponseplotd_OFSB = new TH2F("niceresponseplotd_OFSB","",100,0,600,100,0,5);
2253	>	TH2F *niceresponseplotd_OFZP = new TH2F("niceresponseplotd_OFZP","",100,0,600,100,0,5);
2254	>	vector<int> SampleIndices=allsamples.FindSample(FindKeyword);
2255	>	for(int iSample=0;iSample<(int)SampleIndices.size();iSample++) {
2256	>	if((allsamples.collection)[SampleIndices[iSample]].is_data && !dodata) continue;
2257	>	if((allsamples.collection)[SampleIndices[iSample]].is_data ==false && dodata) continue;
2258	>
2259	>	dout << "   Response correction : Using sample " << (allsamples.collection)[SampleIndices[iSample]].filename << " for " << FindKeyword << endl;
2260	>	(allsamples.collection)[SampleIndices[iSample]].events->Draw("sumJetPt[1]/pt:pt>>+niceresponseplotd",(zptbasecutforresponsepresentation&&cutmass&&cutOSSF)*cutWeight);
2261	>	//    if(PlottingSetup::RestrictToMassPeak) (allsamples.collection)[SampleIndices[iSample]].events->Draw("sumJetPt[1]/pt:pt>>+niceresponseplotd_OFSB",(zptbasecutforresponsepresentation&&sidebandcut&&cutOSOF)*cutWeight);
2262	>	//    if(PlottingSetup::RestrictToMassPeak) (allsamples.collection)[SampleIndices[iSample]].events->Draw("sumJetPt[1]/pt:pt>>+niceresponseplotd_SFSB",(zptbasecutforresponsepresentation&&sidebandcut&&cutOSSF)*cutWeight);
2263	>	(allsamples.collection)[SampleIndices[iSample]].events->Draw("sumJetPt[1]/pt:pt>>+niceresponseplotd_OFZP",(zptbasecutforresponsepresentation&&cutmass&&cutOSOF)*cutWeight);
2264	>	}
2265	>
2266	>	if(PlottingSetup::RestrictToMassPeak) {
2267	>	//        dout << "About to correct the 2D map (containing " << niceresponseplotd->Integral() << ") with different 2D maps: " << endl;
2268	>	//        dout << "   OFZP: " << niceresponseplotd_OFZP->Integral() << ")" << endl;
2269	>	//        dout << "   SFSB: " << niceresponseplotd_SFSB->Integral() << ")" << endl;
2270	>	//        dout << "   OFSB: " << niceresponseplotd_OFSB->Integral() << ")" << endl;
2271	>	//        niceresponseplotd->Add(niceresponseplotd_SFSB,-1.0/3);
2272	>	//        niceresponseplotd->Add(niceresponseplotd_OFSB,-1.0/3);
2273	>	//        niceresponseplotd->Add(niceresponseplotd_OFZP,-1.0/3);
2274	>	niceresponseplotd->Add(niceresponseplotd_OFZP,-1.0);
2275	>	} else {
2276	>	niceresponseplotd->Add(niceresponseplotd_OFZP,-1.0);
2277	>	}
2278	>
2279		niceresponseplotd->SetStats(0);
2280		niceresponseplotd->GetXaxis()->SetTitle("Z p_{T} [GeV]");
2281		niceresponseplotd->GetYaxis()->SetTitle("Response");
#	Line 2106 | Line 2284 | void find_correction_factors(string &jzb
2284		niceresponseplotd->Draw("COLZ");
2285		TProfile * profd = (TProfile*)niceresponseplotd->ProfileX();
2286		profd->SetMarkerSize(DataMarkerSize);
2287	<	profd->Fit("pol0","","same,e1",100,400);
2287	>	profd->Fit("pol0","E","same,e1",100,400); //use MINOS
2288		DrawPrelim();
2289	<	TText* title = write_text(0.5,0.7,"Data");
2289	>	string stitle="Data";
2290	>	if(!Contains(FindKeyword,"Data")) stitle="MC";
2291	>	TText* title = write_text(0.5,0.7,stitle.c_str());
2292		title->SetTextAlign(12);
2293		title->Draw();
2294		TF1 *datapol=(TF1*)profd->GetFunction("pol0");
2295	<	float datacorrection=datapol->GetParameter(0);
2296	<	stringstream dataresstring;
2297	<	dataresstring<<"Response: "<<std::setprecision(2)<<100*datacorrection<<" %";
2298	<	TText* restitle = write_text(0.5,0.65,dataresstring.str());
2295	>	float correction=datapol->GetParameter(0);
2296	>	stringstream resstring;
2297	>	resstring<<"Response: "<<std::setprecision(2)<<100*correction<<" %";
2298	>	TText* restitle = write_text(0.5,0.65,resstring.str());
2299		restitle->SetTextAlign(12);
2300		restitle->SetTextSize(0.03);
2301		restitle->Draw();
2302	<	CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_Data");
2303	<
2304	<	TH2F *niceresponseplotm = new TH2F("niceresponseplotm","",100,0,600,100,0,5);
2305	<	(allsamples.collection)[allsamples.FindSample("DY")[0]].events->Draw("sumJetPt[1]/pt:pt>>niceresponseplotm",zptforresponsepresentation*cutWeight);
2306	<	niceresponseplotm->SetStats(0);
2307	<	niceresponseplotm->GetXaxis()->SetTitle("Z p_{T} [GeV]");
2308	<	niceresponseplotm->GetYaxis()->SetTitle("Response");
2309	<	niceresponseplotm->GetXaxis()->CenterTitle();
2310	<	niceresponseplotm->GetYaxis()->CenterTitle();
2311	<	niceresponseplotm->Draw("COLZ");
2132	<	(allsamples.collection)[allsamples.FindSample("DY")[0]].events->Draw("sumJetPt[1]/pt:pt",zptforresponsepresentation,"PROF,same");
2133	<	TProfile * profm = (TProfile*)niceresponseplotm->ProfileX();
2134	<	profm->SetMarkerSize(DataMarkerSize);
2135	<	profm->Fit("pol0","","same,e1",100,400);
2136	<	DrawMCPrelim();
2137	<	title = write_text(0.5,0.7,"MC simulation");
2138	<	title->SetTextAlign(12);
2139	<	title->Draw();
2140	<	TF1 *mcpol=(TF1*)profm->GetFunction("pol0");
2141	<	float mccorrection=mcpol->GetParameter(0);
2142	<	stringstream mcresstring;
2143	<	mcresstring<<"Response: "<<std::setprecision(2)<<100*mccorrection<<" %";
2144	<	TText* mcrestitle = write_text(0.5,0.65,mcresstring.str());
2145	<	mcrestitle->SetTextAlign(12);
2146	<	mcrestitle->SetTextSize(0.03);
2147	<	mcrestitle->Draw();
2148	<	CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_MC");
2302	>	CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_New_"+SaveAs);
2303	>	delete cancorr;
2304	>	delete niceresponseplotd;
2305	>	delete niceresponseplotd_OFZP;
2306	>	delete niceresponseplotd_OFSB;
2307	>	delete niceresponseplotd_SFSB;
2308	>	return correction;
2309	>	}
2310	>
2311	>	void find_correction_factors(string &jzbvardata,string &jzbvarmc) {
2312
2313	+	dout << "Computing response corrections: " << endl;
2314	+	//Step 1 : Get results
2315	+	float datacorrection=find_one_correction_factor("Data",true,"","Data");
2316	+	float mccorrection=find_one_correction_factor("DY",false,"","MC");
2317	+
2318	+	float dataEEcorrection=find_one_correction_factor("Data",true,"id1==0","Data_ee");
2319	+	float mcEEcorrection=find_one_correction_factor("DY",false,"id1==0","MC_ee");
2320	+
2321	+	float dataMMcorrection=find_one_correction_factor("Data",true,"id1==1","Data_mm");
2322	+	float mcMMcorrection=find_one_correction_factor("DY",false,"id1==1","MC_mm");
2323	+
2324	+	cout << "Corrections : " << endl;
2325	+	cout << "   Data : " << datacorrection << endl;
2326	+	cout << "     ee (" << dataEEcorrection << ") , mm (" << dataMMcorrection << ")" << endl;
2327	+	cout << "   MC : " << mccorrection << endl;
2328	+	cout << "     ee (" << mcEEcorrection << ") , mm (" << mcMMcorrection << ")" << endl;
2329
2330	<	//Step 2: Getting the result
2152	<	//  TCut zptcutforresponse("pt>30&&pt<300&&TMath::Abs(91.2-mll)<20&&id1==id2&&(ch1*ch2<0)");
2330	>	//Step 2: Processing the result and making it into something useful :-)
2331		stringstream jzbvardatas;
2332	<	if(datacorrection>1) jzbvardatas<<"(jzb[1]-"<<datacorrection-1<<"*pt)";
2333	<	if(datacorrection<1) jzbvardatas<<"(jzb[1]+"<<1-datacorrection<<"*pt)";
2332	>	jzbvardatas << "(";
2333	>
2334	>	if(dataEEcorrection>=1) jzbvardatas<<"((id1==0&&id1==id2)*(jzb[1]-" << dataEEcorrection-1 << "*pt))";
2335	>	if(dataEEcorrection<1)  jzbvardatas<<"((id1==0&&id1==id2)*(jzb[1]+" << 1-dataEEcorrection << "*pt))";
2336	>
2337	>	if(dataMMcorrection>=1) jzbvardatas<<"+((id1==1&&id1==id2)*(jzb[1]-" << dataMMcorrection-1 << "*pt))";
2338	>	if(dataMMcorrection<1)  jzbvardatas<<"+((id1==1&&id1==id2)*(jzb[1]+" << 1-dataMMcorrection << "*pt))";
2339	>
2340	>	float averagecorrection=(dataMMcorrection+dataEEcorrection)/2.0;
2341	>
2342	>	if(datacorrection>=1) jzbvardatas<<"+((id1!=id2)*(jzb[1]-" << datacorrection-1 << "*pt))";
2343	>	if(datacorrection<1) jzbvardatas<<"+((id1!=id2)*(jzb[1]+" << 1-datacorrection << "*pt))";
2344	>
2345	>	jzbvardatas << ")";
2346		jzbvardata=jzbvardatas.str();
2347	+
2348		stringstream jzbvarmcs;
2349	<	if(mccorrection>1) jzbvarmcs<<"(jzb[1]-"<<mccorrection-1<<"*pt)";
2350	<	if(mccorrection<1) jzbvarmcs<<"(jzb[1]+"<<1-mccorrection<<"*pt)";
2349	>	jzbvarmcs << "(";
2350	>
2351	>	if(mcEEcorrection>=1) jzbvarmcs<<"((id1==0&&id1==id2)*(jzb[1]-" << mcEEcorrection-1 << "*pt))";
2352	>	if(mcEEcorrection<1)  jzbvarmcs<<"((id1==0&&id1==id2)*(jzb[1]+" << 1-mcEEcorrection << "*pt))";
2353	>
2354	>	if(mcMMcorrection>=1) jzbvarmcs<<"+((id1==1&&id1==id2)*(jzb[1]-" << mcMMcorrection-1 << "*pt))";
2355	>	if(mcMMcorrection<1)  jzbvarmcs<<"+((id1==1&&id1==id2)*(jzb[1]+" << 1-mcMMcorrection << "*pt))";
2356	>
2357	>	float averagemccorrection=(mcMMcorrection+mcEEcorrection)/2.0;
2358	>
2359	>	if(mccorrection>=1) jzbvarmcs<<"+((id1!=id2)*(jzb[1]-" << mccorrection-1 << "*pt))";
2360	>	if(mccorrection<1) jzbvarmcs<<"+((id1!=id2)*(jzb[1]+" << 1-mccorrection << "*pt))";
2361	>
2362	>	jzbvarmcs << ")";
2363		jzbvarmc=jzbvarmcs.str();
2364	+
2365		dout << "JZB Z pt correction summary : " << endl;
2366		dout << "  Data: The response is " << datacorrection << "  --> jzb variable is now : " << jzbvardata << endl;
2367		dout << "  MC  : The response is " << mccorrection << "  --> jzb variable is now : " << jzbvarmc << endl;
2368	+
2369		}
2370
2371		void pick_up_events(string cut) {
#	Line 2254 | Line 2459 | void ttbar_sidebands_comparison(string m
2459		//in the case of the on peak analysis, we compare the 3 control regions to the real value
2460		//in the case of the OFF peak analysis, we compare our control region to the real value
2461		TCut weightbackup=cutWeight;
2257	–	//  cutWeight="1.0";
2258	–	float simulatedlumi = luminosity; //in pb please - adjust to your likings
2462
2463	+	bool doPURW=false;
2464	+
2465	+
2466	+	if(!doPURW) {
2467	+	cutWeight="1.0";
2468	+	// Do it without PU re-weighting
2469	+	float MCPeakNoPU=0,MCPeakErrorNoPU=0,DataPeakNoPU=0,DataPeakErrorNoPU=0,MCSigma=0,DataSigma=0;
2470	+	stringstream resultsNoPU;
2471	+	stringstream noPUdatajzb;
2472	+	stringstream noPUmcjzb;
2473	+
2474	+	stringstream mcjzbnoPU;
2475	+	find_peaks(MCPeakNoPU,MCPeakErrorNoPU, DataPeakNoPU, DataPeakErrorNoPU,resultsNoPU,true,noPUdatajzb,noPUmcjzb);
2476	+	mcjzb = noPUmcjzb.str();
2477	+	}
2478	+
2479	+
2480	+
2481	+
2482	+
2483	+
2484	+	float simulatedlumi = luminosity; //in pb please - adjust to your likings
2485
2486		TH1F *TZem = systsamples.Draw("TZem",mcjzb,binning,"JZB [GeV]","events",cutmass&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
2487		TH1F *nTZem = systsamples.Draw("nTZem","-"+mcjzb,binning,"JZB [GeV]","events",cutmass&&cutOSOF&&cutnJets,mc,simulatedlumi,systsamples.FindSample("TTJets"));
#	Line 2294 | Line 2519 | void ttbar_sidebands_comparison(string m
2519		}
2520
2521		vector<TH1F*> histos;
2522	+	TZem->GetXaxis()->SetRangeUser(-100,binning[binning.size()-1]);
2523	+	TZeemm->GetXaxis()->SetRangeUser(-100,binning[binning.size()-1]);
2524		histos.push_back(TZem);
2525		histos.push_back(TZeemm);
2526		if(PlottingSetup::RestrictToMassPeak) {
2527	+	TSeemm->GetXaxis()->SetRangeUser(-100,binning[binning.size()-1]);
2528	+	TSem->GetXaxis()->SetRangeUser(-100,binning[binning.size()-1]);
2529		histos.push_back(TSem);
2530		histos.push_back(TSeemm);
2531		}
#	Line 2339 | Line 2568 | void ttbar_sidebands_comparison(string m
2568		TSeemm->Draw("same");
2569		}
2570
2571	<	float linepos=0.25;
2572	<	if(PlottingSetup::RestrictToMassPeak) linepos=0.25;
2573	<	if(!PlottingSetup::RestrictToMassPeak) linepos=0.1; //sys uncertainty for iJZB
2571	>	float linepos=emuncertONPEAK;
2572	>	if(!PlottingSetup::RestrictToMassPeak) linepos=emuncertOFFPEAK;
2573	>
2574		TLine *top = new TLine(binning[0],1.0+linepos,binning[binning.size()-1],1.0+linepos);
2575		TLine *center = new TLine(binning[0],1.0,binning[binning.size()-1],1.0);
2576		TLine *bottom = new TLine(binning[0],1.0-linepos,binning[binning.size()-1],1.0-linepos);
#	Line 2423 | Line 2652 | void ttbar_sidebands_comparison(string m
2652		tcan->SetLogy(0);
2653		rightofzp->Divide(rightsfzp);
2654		rightofzp->GetXaxis()->SetRangeUser(0.0,binning[binning.size()-1]);
2655	<	rightofzp->GetYaxis()->SetRangeUser(0.0,2.0);
2655	>	rightofzp->GetYaxis()->SetRangeUser(0.0,2.5);
2656		rightofzp->GetYaxis()->SetTitle("#deltaJZB ratio");
2657		rightofzp->Draw();
2658		if(PlottingSetup::RestrictToMassPeak) {
#	Line 2483 | Line 2712 | void ttbar_sidebands_comparison(string m
2712
2713		void ttbar_sidebands_comparison(string mcjzb, vector<float> jzb_binning) {
2714		vector<float> nicer_binning;
2715	<	nicer_binning.push_back(-125);
2715	>
2716	>	/*  nicer_binning.push_back(-400);
2717	>	nicer_binning.push_back(-250);
2718	>	nicer_binning.push_back(-200);
2719	>	nicer_binning.push_back(-150);
2720	>	nicer_binning.push_back(-100);
2721	>	nicer_binning.push_back(-50);
2722	>	nicer_binning.push_back(-20);
2723	>
2724	>	nicer_binning.push_back(0);
2725	>	nicer_binning.push_back(20);
2726	>	nicer_binning.push_back(50);
2727	>	nicer_binning.push_back(100);
2728	>	nicer_binning.push_back(150);
2729	>	nicer_binning.push_back(200);
2730	>	nicer_binning.push_back(250);
2731	>	nicer_binning.push_back(400);*/
2732	>
2733		nicer_binning.push_back(-100);
2488	–	nicer_binning.push_back(-75);
2734		nicer_binning.push_back(-50);
2735		nicer_binning.push_back(-25);
2736		nicer_binning.push_back(0);
#	Line 2500 | Line 2745 | void ttbar_sidebands_comparison(string m
2745		nicer_binning.push_back(230);
2746		nicer_binning.push_back(280);
2747		nicer_binning.push_back(400);
2748	+
2749		ttbar_sidebands_comparison(mcjzb,nicer_binning, "ttbar/");
2750		}
2751
2752
2753	<	void zjets_prediction_comparison(string mcjzbWithPU) {
2753	>	void zjets_prediction_comparison(string mcjzbWithPUa) {
2754		TCanvas *zcan = new TCanvas("zcan","zcan");
2755	<	zcan->SetLogy(1);
2755	>	//  zcan->SetLogy(1);
2756		TCut weightbackup=cutWeight;
2757	+
2758	+	bool UsePURW=false;
2759	+
2760	+
2761	+	string mcjzb;
2762	+	if(UsePURW) {
2763	+	mcjzb=mcjzbWithPUa;
2764	+	} else {
2765	+	// Do it without PU re-weighting
2766	+	float MCPeakNoPU=0,MCPeakErrorNoPU=0,DataPeakNoPU=0,DataPeakErrorNoPU=0,MCSigma=0,DataSigma=0;
2767	+	stringstream resultsNoPU;
2768	+	stringstream noPUdatajzb;
2769	+	stringstream noPUmcjzb;
2770	+
2771	+	find_peaks(MCPeakNoPU,MCPeakErrorNoPU, DataPeakNoPU, DataPeakErrorNoPU,resultsNoPU,false,noPUdatajzb,noPUmcjzb);
2772	+	dout << "The peak corrected JZB expression for MC without pileup is : " <<  noPUmcjzb.str() << endl;
2773	+
2774	+	mcjzb = noPUmcjzb.str();
2775	+
2776	+	cutWeight="1.0";
2777	+	}
2778
2779	<	/*
2780	<	// Do it without PU re-weighting
2781	<	float MCPeakNoPU=0,MCPeakErrorNoPU=0,DataPeakNoPU=0,DataPeakErrorNoPU=0,MCSigma=0,DataSigma=0;
2782	<	stringstream resultsNoPU;
2783	<
2784	<	stringstream mcjzbnoPU;
2785	<	find_peaks(MCPeakNoPU,MCPeakErrorNoPU, DataPeakNoPU, DataPeakErrorNoPU,MCSigma,DataSigma,resultsNoPU,true);
2786	<	if(MCPeakNoPU>0) mcjzbnoPU<<"("<<jzbvariablemc<<"-"<<TMath::Abs(MCPeakNoPU)<<")";
2787	<	else mcjzbnoPU<<"("<<jzbvariablemc<<"+"<<TMath::Abs(MCPeakNoPU)<<")";
2788	<
2789	<	string mcjzb = mcjzbnoPU.str();
2790	<	dout << "The peak corrected JZB expression for MC without pileup is : " <<  mcjzb << endl;
2779	>
2780	>	vector<float> binning;
2781	>	binning.push_back(0);
2782	>	binning.push_back(10);
2783	>	binning.push_back(20);
2784	>	//  binning.push_back(30);
2785	>	binning.push_back(40);
2786	>	//   binning.push_back(50);
2787	>	//   binning.push_back(60);
2788	>	//   binning.push_back(70);
2789	>	//   binning.push_back(80);
2790	>	//   binning.push_back(90);
2791	>	binning.push_back(100);
2792
2525	–	cutWeight="1.0";
2526	–	*/
2527	–	string mcjzb = mcjzbWithPU; // this is with PURW, if you want without it you have to uncomment the part above (and comment out this line)
2528	–	float sbg_min=0.;
2529	–	float sbg_max=100.;
2530	–	int sbg_nbins=5;
2793		float simulatedlumi = luminosity;//in pb please - adjust to your likings
2794
2795		TCut kPos((mcjzb+">0").c_str());
2796		TCut kNeg((mcjzb+"<0").c_str());
2797		string var( "abs("+mcjzb+")" );
2798	+
2799	+	TCut notTau("abs(genMID1)!=15");
2800	+	TCut ONLYTau("mll>20");
2801	+
2802
2803	<	TCut kcut(cutmass&&cutOSSF&&cutnJets);
2804	<	TH1F *hJZBpos = systsamples.Draw("hJZBpos",var,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",kcut&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
2805	<	TH1F *hJZBneg = systsamples.Draw("hJZBneg",var,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",kcut&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
2803	>	TH1F *hJZBpos = systsamples.Draw("hJZBpos",var,binning, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets&&notTau&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
2804	>	TH1F *hJZBneg = systsamples.Draw("hJZBneg",var,binning, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets&&notTau&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
2805	>
2806		hJZBpos->SetLineColor(kBlack);
2807		hJZBneg->SetLineColor(kRed);
2808
2809	<
2809	>	hJZBpos->SetMinimum(1.0);
2810		hJZBpos->Draw("e1");
2811		hJZBneg->Draw("same,hist");
2812		hJZBpos->Draw("same,e1"); // So it's on top...
2813
2814	<	TLegend *leg = make_legend("MC Z+jets",0.55,0.75,false);
2814	>	TLegend *leg = make_legend("MC Z+jets #rightarrow ee,#mu#mu",0.55,0.75,false);
2815		leg->AddEntry(hJZBpos,"Observed","pe");
2816		leg->AddEntry(hJZBneg,"Predicted","l");
2817		leg->Draw("same");
2818		DrawMCPrelim(simulatedlumi);
2819	<	CompleteSave(zcan,"Systematics/zjets_prediction");
2819	>	CompleteSave(zcan,"Systematics/ZJets/zjets_eemm_prediction");
2820
2821		TH1F* hratio = (TH1F*)hJZBpos->Clone("hratio");
2822		hratio->Divide(hJZBneg);
2823
2824	+	for(int i=1;i<=hJZBpos->GetNbinsX();i++) {
2825	+	cout << "Positive: " << hJZBpos->GetBinContent(i) << "   vs    Negative : " << hJZBneg->GetBinContent(i) << "   (ratio : " << hJZBpos->GetBinContent(i) / hJZBneg->GetBinContent(i) << endl;
2826	+	}
2827	+
2828		zcan->SetLogy(0);
2829		hratio->GetYaxis()->SetRangeUser(0,2.5);
2830		hratio->GetYaxis()->SetTitle("Observed/Predicted");
2831		hratio->Draw("e1");
2832
2833	<	TLine *top = new TLine(sbg_min,1.25,sbg_max,1.25);
2834	<	TLine *center = new TLine(sbg_min,1.0,sbg_max,1.0);
2835	<	TLine *bottom = new TLine(sbg_min,0.75,sbg_max,0.75);
2833	>	TLine *top = new TLine(binning[0],1.25,binning[binning.size()-1],1.25);
2834	>	TLine *center = new TLine(binning[0],1.0,binning[binning.size()-1],1.0);
2835	>	TLine *bottom = new TLine(binning[0],0.75,binning[binning.size()-1],0.75);
2836
2837
2838		top->SetLineColor(kBlue);top->SetLineStyle(2);
#	Line 2573 | Line 2843 | void zjets_prediction_comparison(string
2843		center->Draw("same");
2844		bottom->Draw("same");
2845
2846	<	TLegend *leg2 = make_legend("MC Z+jets",0.25,0.75,false);
2846	>	TLegend *leg2 = make_legend("MC Z+jets #rightarrow ee,#mu#mu",0.25,0.75,false);
2847		leg2->AddEntry(hratio,"obs / pred","pe");
2848		leg2->AddEntry(bottom,"syst. envelope","l");
2849		leg2->Draw("same");
2850		DrawMCPrelim(simulatedlumi);
2851	<	CompleteSave(zcan,"Systematics/zjets_prediction_ratio");
2851	>	CompleteSave(zcan,"Systematics/ZJets/zjets_eemm_prediction_ratio");
2852	>
2853	>	TCut reducedNJets(cutnJets);
2854	>
2855	>	TH1F *TAUhJZBpos = systsamples.Draw("TAUhJZBpos",var,binning, "JZB [GeV]", "events",cutmass&&cutOSSF&&reducedNJets&&ONLYTau&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
2856	>	TH1F *LcorrJZBeemm     = systsamples.Draw("LcorrJZBeemm",var,binning, "JZB [GeV]", "events",cutmass&&cutOSSF&&reducedNJets&&ONLYTau&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
2857	>	TH1F *RcorrJZBem       = systsamples.Draw("RcorrJZBem",var,binning, "JZB [GeV]", "events",cutmass&&cutOSOF&&reducedNJets&&ONLYTau&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
2858	>	TH1F *LcorrJZBem       = systsamples.Draw("LcorrJZBem",var,binning, "JZB [GeV]", "events",cutmass&&cutOSOF&&reducedNJets&&ONLYTau&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
2859	>
2860	>	TH1F *RcorrJZBSBem;
2861	>	TH1F *LcorrJZBSBem;
2862	>	TH1F *RcorrJZBSBeemm;
2863	>	TH1F *LcorrJZBSBeemm;
2864	>
2865	>	if(PlottingSetup::RestrictToMassPeak) {
2866	>	RcorrJZBSBem   = systsamples.Draw("RcorrJZBSBem",var,binning, "JZB [GeV]", "events",sidebandcut&&cutOSOF&&reducedNJets&&ONLYTau&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
2867	>	LcorrJZBSBem   = systsamples.Draw("LcorrJZBSBem",var,binning, "JZB [GeV]", "events",sidebandcut&&cutOSOF&&reducedNJets&&ONLYTau&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
2868	>	RcorrJZBSBeemm = systsamples.Draw("RcorrJZBSBeemm",var,binning, "JZB [GeV]", "events",sidebandcut&&cutOSSF&&reducedNJets&&ONLYTau&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
2869	>	LcorrJZBSBeemm = systsamples.Draw("LcorrJZBSBeemm",var,binning, "JZB [GeV]", "events",sidebandcut&&cutOSSF&&reducedNJets&&ONLYTau&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
2870	>	}
2871	>
2872	>	TH1F *Bpred = (TH1F*)LcorrJZBeemm->Clone("Bpred");
2873	>	if(PlottingSetup::RestrictToMassPeak) {
2874	>	Bpred->Add(RcorrJZBem,1.0/3.);
2875	>	Bpred->Add(LcorrJZBem,-1.0/3.);
2876	>	Bpred->Add(RcorrJZBSBem,1.0/3.);
2877	>	Bpred->Add(LcorrJZBSBem,-1.0/3.);
2878	>	Bpred->Add(RcorrJZBSBeemm,1.0/3.);
2879	>	Bpred->Add(LcorrJZBSBeemm,-1.0/3.);
2880	>	} else {
2881	>	Bpred->Add(RcorrJZBem,1.0);
2882	>	Bpred->Add(LcorrJZBem,-1.0);
2883	>	}
2884	>
2885	>	Bpred->SetLineColor(kRed);
2886	>
2887	>	TAUhJZBpos->SetLineColor(kBlack);
2888	>	Bpred->SetLineColor(kRed);
2889	>
2890	>	TAUhJZBpos->SetMinimum(1.0);
2891	>	TAUhJZBpos->Draw("e1");
2892	>	Bpred->Draw("same,hist");
2893	>	TAUhJZBpos->Draw("same,e1");
2894	>
2895	>	TLegend *TAUleg = make_legend("MC Z+jets #rightarrow ee,#mu#mu,#tau#tau",0.55,0.75,false);
2896	>	TAUleg->AddEntry(TAUhJZBpos,"Observed","pe");
2897	>	TAUleg->AddEntry(Bpred,"Predicted","l");
2898	>	TAUleg->Draw("same");
2899	>	DrawMCPrelim(simulatedlumi);
2900	>	CompleteSave(zcan,"Systematics/ZJets/zjets_eemumutautau_prediction");
2901	>
2902	>	TH1F* TAUhratio = (TH1F*)TAUhJZBpos->Clone("TAUhratio");
2903	>	TAUhratio->Divide(Bpred);
2904	>
2905	>	for(int i=1;i<=TAUhJZBpos->GetNbinsX();i++) {
2906	>	cout << "ee/mm/tautau observed: " << TAUhJZBpos->GetBinContent(i) << "   vs    predicted : " << Bpred->GetBinContent(i) << "   (ratio : " << TAUhJZBpos->GetBinContent(i) / Bpred->GetBinContent(i) << endl;
2907	>	}
2908	>
2909	>	zcan->SetLogy(0);
2910	>	TAUhratio->GetYaxis()->SetRangeUser(0,2.5);
2911	>	TAUhratio->GetYaxis()->SetTitle("Observed/Predicted");
2912	>	TAUhratio->Draw("e1");
2913	>
2914	>	top->Draw("same");
2915	>	center->Draw("same");
2916	>	bottom->Draw("same");
2917	>
2918	>	TLegend *TAUleg2 = make_legend("MC Z+jets #rightarrow #tau#tau",0.25,0.75,false);
2919	>	TAUleg2->AddEntry(TAUhratio,"obs / pred","pe");
2920	>	TAUleg2->AddEntry(bottom,"syst. envelope","l");
2921	>	TAUleg2->Draw("same");
2922	>	DrawMCPrelim(simulatedlumi);
2923	>	CompleteSave(zcan,"Systematics/ZJets/zjets_eemumutautau_prediction_ratio");
2924	>
2925	>	delete Bpred;
2926	>	delete TAUhJZBpos;
2927	>	delete LcorrJZBeemm;
2928	>	delete RcorrJZBem;
2929	>	delete LcorrJZBem;
2930	>
2931	>	if(PlottingSetup::RestrictToMassPeak) {
2932	>	delete RcorrJZBSBem;
2933	>	delete LcorrJZBSBem;
2934	>	delete RcorrJZBSBeemm;
2935	>	delete LcorrJZBSBeemm;
2936	>	}
2937	>
2938
2939		delete zcan;
2940		cutWeight=weightbackup;
#	Line 2604 | Line 2960 | void sideband_assessment(string datajzb,
2960		tout << "\\begin{tabular}{l|cc}" << endl;
2961		tout << "\\hline" << endl;
2962		tout << "& {\\OFZP} & {\\OFSB} \\\\\\hline" << endl;
2963	<	tout << "\\#(events) & "<<OFSB<<" & "<<OFZP<<"\\\\ \\hline" << endl;
2963	>	tout << "\\#(events) & "<<OFZP<<" & "<<OFSB<<"\\\\ \\hline" << endl;
2964		tout << "\\end{tabular}" << endl;
2965		tout << "\\end{center}" << endl;
2966		tout << "\\end{table}" << endl;
#	Line 2927 | Line 3283 | void qcd_plots(string datajzb, string mc
3283		//3rd last argument: do special bpred ratio, 2nd last argument: extended range!, last: y-axis title
3284		string ytitle("ratio");
3285		if ( use_data==1 ) ytitle = "data/pred";
3286	<	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,"QCD/Bpred",true,use_data!=1,ytitle);
3286	>	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,"QCD/Bpred",true,false,ytitle);
3287
3288		TH1F *allevents = qcdsamples.Draw("allevents","pfJetGoodNum",1,0,100, "internal code", "events", "" ,mc, luminosity);
3289		TH1F *ossf = qcdsamples.Draw("ossf","pfJetGoodNum",1,0,100, "internal code", "events", cutOSSF ,mc, luminosity);
#	Line 3127 | Line 3483 | void test() {
3483
3484		TCanvas *testcanv = new TCanvas("testcanv","testcanv");
3485		testcanv->cd();
3486	<	switch_overunderflow(true);
3486	>	//  switch_overunderflow(true);
3487		TH1F *ptdistr   = allsamples.Draw("ptdistr","pt1",100,30,200, "p_{T} [GeV]", "events", cutOSSF,data,luminosity);
3488		switch_overunderflow(false);
3489		ptdistr->Draw();

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