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Comparing UserCode/cbrown/Development/Plotting/Modules/Plotting_Functions.C (file contents):
Revision 1.12 by buchmann, Wed Apr 18 09:20:36 2012 UTC vs.
Revision 1.29 by buchmann, Mon Jun 18 16:26:07 2012 UTC

#	Line 30 | Line 30 | void todo() {
30		dout << "Info : The lepton requirement is currently set to " << (const char*) leptoncut << endl;
31		}
32
33	<	void find_peaks(float &MCPeak,float &MCPeakError, float &DataPeak, float &DataPeakError, float &MCSigma, float &DataSigma, stringstream &result, bool doPUreweighting = true )
33	>
34	>
35	>	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="")
36		{
37		// Temporarily switch off PU reweighting, if asked
38		TCut weightbackup=cutWeight;
39		if ( !doPUreweighting ) cutWeight="1.0";
40	<
40	>
41	>	int nbins=100;
42	>	if(PlottingSetup::DoBTag) nbins=25;
43	>
44		TCanvas *tempcan = new TCanvas("tempcan","Temporary canvas for peak finding preparations");
45	<	TH1F *rawJZBeemmMC      = allsamples.Draw("rawJZBeemmMC",jzbvariablemc,100,-50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,mc, luminosity);
46	<	TH1F *rawJZBeemmData    = allsamples.Draw("rawJZBeemmData",jzbvariabledata,100, -50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,data, luminosity);
47	<	TH1F *rawJZBemMC      = allsamples.Draw("rawJZBemMC",jzbvariablemc,100,-50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,mc, luminosity);
48	<	TH1F *rawJZBemData    = allsamples.Draw("rawJZBemData",jzbvariabledata,100, -50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,data, luminosity);
45	>	TH1F *rawJZBeemmMC      = allsamples.Draw("rawJZBeemmMC",jzbvariablemc,nbins,-50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&specialcut,mc, luminosity);
46	>	TH1F *rawJZBeemmData    = allsamples.Draw("rawJZBeemmData",jzbvariabledata,nbins, -50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&specialcut,data, luminosity);
47	>	TH1F *rawJZBemMC      = allsamples.Draw("rawJZBemMC",jzbvariablemc,nbins,-50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&specialcut,mc, luminosity);
48	>	TH1F *rawJZBemData    = allsamples.Draw("rawJZBemData",jzbvariabledata,nbins, -50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&specialcut,data, luminosity);
49		TH1F *rawttbarjzbeemmMC;
50
51		if(method==doKM) {
52		//we only need this histo for the KM fitting...
53	<	rawttbarjzbeemmMC = allsamples.Draw("rawttbarjzbeemmMC",jzbvariablemc,100, -50,50, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,luminosity,allsamples.FindSample("TTJet"));
54	<	MCPeak=find_peak(rawJZBeemmMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method);
55	<	DataPeak=find_peak(rawJZBeemmData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method);
53	>	rawttbarjzbeemmMC = allsamples.Draw("rawttbarjzbeemmMC",jzbvariablemc,nbins, -50,50, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets&&specialcut,mc,luminosity,allsamples.FindSample("TTJet"));
54	>	MCPeak=find_peak(rawJZBeemmMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method,saveas);
55	>	DataPeak=find_peak(rawJZBeemmData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method,saveas);
56	>	delete rawttbarjzbeemmMC;
57		}
58		else {
59		TH1F *reducedMC = (TH1F*)rawJZBeemmMC->Clone();
#	Line 55 | Line 61 | void find_peaks(float &MCPeak,float &MCP
61		reducedMC->Add(rawJZBemMC,-1);
62		reducedData->Add(rawJZBemData,-1);
63		//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)
64	<	MCPeak=find_peak(reducedMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method);
65	<	DataPeak=find_peak(reducedData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method);
66	<
64	>	MCPeak=find_peak(reducedMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method,saveas);
65	>	DataPeak=find_peak(reducedData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method,saveas);
66	>	delete reducedMC;
67	>	delete reducedData;
68		}
69
70		// Revert to original PU reweighting
#	Line 65 | Line 72 | void find_peaks(float &MCPeak,float &MCP
72
73		//  MCPeak=find_peak(rawJZBeemmMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method);
74		//  DataPeak=find_peak(rawJZBeemmData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method);
75	<	dout << "We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
76	<	result << "We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
77	<	dout << "We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
78	<	result << "We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
75	>	dout   << "   We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
76	>	result << "   We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
77	>	dout   << "   We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
78	>	result << "   We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
79	>	delete rawJZBeemmData;
80	>	delete rawJZBeemmMC;
81	>	delete rawJZBemData;
82	>	delete rawJZBemMC;
83		delete tempcan;
84		}
85
86	+	void find_peaks(float &MCPeak,float &MCPeakError, float &DataPeak, float &DataPeakError, stringstream &result, bool doPUreweighting, stringstream &datajzb, stringstream &mcjzb)
87	+	{
88	+	float mcpeak, datapeak;
89	+	float mcpeakerr, datapeakerr;
90	+
91	+	float mceepeak,mcmmpeak;
92	+	float mceepeakerr,mcmmpeakerr;
93	+
94	+	float datammpeak,dataeepeak;
95	+	float datammpeakerr,dataeepeakerr;
96	+
97	+	float mcSigma, dataSigma;
98	+
99	+	dout << "Finding global peak : " << endl;
100	+	find_one_peak_combination(TCut(""),mcpeak,mcpeakerr, datapeak,datapeakerr,mcSigma, dataSigma,result,doPUreweighting,"");
101	+	dout << "Finding peak for electrons : " << endl;
102	+	find_one_peak_combination(TCut("id1==0"),mceepeak,mceepeakerr, dataeepeak,dataeepeakerr,mcSigma, dataSigma,result,doPUreweighting,"_ele");
103	+	dout << "Finding peak for muons : " << endl;
104	+	find_one_peak_combination(TCut("id1==1"),mcmmpeak,mcmmpeakerr, datammpeak,datammpeakerr,mcSigma, dataSigma,result,doPUreweighting,"_mu");
105	+
106	+	datajzb << "(" << jzbvariabledata;
107	+	mcjzb << "(" << jzbvariablemc;
108	+
109	+	if(dataeepeak>0) datajzb << "- (id1==id2)*(id1==0)*" << TMath::Abs(dataeepeak) << " ";
110	+	else datajzb << "+ (id1==id2)*(id1==0)*" << TMath::Abs(dataeepeak) << " ";
111	+
112	+	if(datammpeak>0) datajzb << "- (id1==id2)*(id1==1)*" << TMath::Abs(datammpeak) << " ";
113	+	else datajzb << "+ (id1==id2)*(id1==1)*" << TMath::Abs(datammpeak) << " ";
114	+
115	+	if(datapeak>0) datajzb << "- (id1!=id2)*" << TMath::Abs(datapeak) << " ";
116	+	else datajzb << "+ (id1!=id2)*" << TMath::Abs(datapeak) << " ";
117	+
118	+	datajzb << ")";
119	+
120	+	if(mceepeak>0) mcjzb << "- (id1==id2)*(id1==0)*" << TMath::Abs(mceepeak) << " ";
121	+	else mcjzb << "+ (id1==id2)*(id1==0)*" << TMath::Abs(mceepeak) << " ";
122	+
123	+	if(mcmmpeak>0) mcjzb << "- (id1==id2)*(id1==1)*" << TMath::Abs(mcmmpeak) << " ";
124	+	else mcjzb << "+ (id1==id2)*(id1==1)*" << TMath::Abs(mcmmpeak) << " ";
125	+
126	+	if(mcpeak>0) mcjzb << "- (id1!=id2)*" << TMath::Abs(mcpeak) << " ";
127	+	else mcjzb << "+ (id1!=id2)*" << TMath::Abs(mcpeak) << " ";
128	+
129	+	mcjzb << ")";
130	+	}
131	+
132		void make_special_obs_pred_mll_plot(string mcjzb, float jzbthreshold) {
133		float min=70.0;
134		float max=115.0;
#	Line 102 | Line 159 | void make_special_obs_pred_mll_plot(stri
159		TH1F *RcorrJZBSBeemm;
160		TH1F *LcorrJZBSBeemm;
161
162	<	TH1F *RcorrJZBeemmNoS;
162	>	//  TH1F *RcorrJZBeemmNoS;
163
164		if(PlottingSetup::RestrictToMassPeak) {
165		RcorrJZBSBem   = allsamples.Draw("RcorrJZBSBem",  "mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&largerzero,data, luminosity);
#	Line 189 | Line 246 | void make_special_mll_plot(int nbins, fl
246		TIter next(bgleg->GetListOfPrimitives());
247		TObject* obj;
248		// Copy the nice bkgd legend skipping the "data"
249	<	while ( obj = next() )
249	>	while ( (obj = next()) )
250		if ( strcmp(((TLegendEntry*)obj)->GetObject()->GetName(),"datahistoOSSF") )
251		kinleg->GetListOfPrimitives()->Add(obj);
252
#	Line 208 | Line 265 | void draw_ratio_plot(TH1* hdata, THStack
265		TIter next(hmc.GetHists());
266		TObject* obj;
267		TH1* hratio = NULL;
268	<	while ( obj = next() ) {
268	>	while ( (obj = next()) ) {
269		if ( !hratio ) {
270		hratio = (TH1*)obj->Clone();
271		hratio->SetName("hratio");
#	Line 269 | Line 326 | void make_kin_plot(string variable, stri
326		TCut cut;
327		cut=cutmass&&cutOSSF&&cutnJets&&ibasiccut;
328		if(filename=="nJets") cut=cutmass&&cutOSSF&&ibasiccut;
329	+	if(filename=="nJets_osof") cut=cutmass&&cutOSOF&&ibasiccut;
330		if(filename=="nJets_nocuts_except_mll_ossf") cut=cutmass&&cutOSSF;
331		if(filename=="mll") {
332		cut=cutOSSF&&cutnJets&&ibasiccut;
#	Line 296 | Line 354 | void make_kin_plot(string variable, stri
354		THStack mcstack = allsamples.DrawStack("mcstack",variable,nbins,min,max, xlabel, "events",cut,mc,luminosity);
355		if(variable=="pfJetGoodPt[0]") datahisto->SetMaximum(10*datahisto->GetMaximum());
356		if(variable=="pt") datahisto->SetMaximum(10*datahisto->GetMaximum());
357	<	if(filename=="mll_inclusive") datahisto->SetMinimum(1);
357	>	if(filename=="mll_inclusive"||filename=="mll_inclusive_mm"||filename=="mll_inclusive_ee") datahisto->SetMinimum(1);
358		if(filename=="mll_osof") datahisto->SetMaximum(10*datahisto->GetMaximum());
359		if(filename=="mll_osof") datahisto->SetMinimum(9);
302	–
360		datahisto->SetMaximum(5.3*datahisto->GetMaximum());
361		datahisto->Draw("e1");
362		ckin->Update();
#	Line 430 | Line 487 | void do_kinematic_plots(string mcjzb, st
487		bool dolog=true;
488		bool nolog=false;
489		if(doPF) write_warning(__FUNCTION__,"Please use caution when trying to produce PF plots; not all versions of the JZB trees have these variables!");
490	<	float mll_low=40;
490	>	float mll_low=50;
491		float mll_hi=160;
492		if(!PlottingSetup::RestrictToMassPeak) {
493	<	mll_low=10;
493	>	mll_low=20;
494		mll_hi=210;
495		}
496	<	/*
496	>
497	>	make_kin_plot("met[4]","",40,0,200,dolog,"MET [GeV]","met",doPF,true);
498		make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll",doPF,true);
499		make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_osof",doPF,true,true);
500		make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_ee",doPF,true);
#	Line 444 | Line 502 | void do_kinematic_plots(string mcjzb, st
502		make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive",doPF,true);
503		make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_ee",doPF,true);
504		make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_mm",doPF,true);
505	<	make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_osof",doPF,true);
506	<	make_kin_plot("mll","",(int)((350-mll_low)),mll_low,350,dolog,"m_{ll} [GeV]","mll_inclusive_highrange",doPF);/*
505	>	make_kin_plot("mll","",(int)((mll_hi-mll_low))/2,mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_osof",doPF,true);
506	>	make_kin_plot("mll","",(int)((350-mll_low)),mll_low,350,dolog,"m_{ll} [GeV]","mll_inclusive_highrange",doPF);
507		make_kin_plot("numVtx","",(int)(30.5-(-0.5)),-0.5,30.5,nolog,"N(Vtx)","numVtx",doPF);
508	<	make_kin_plot("jetpt[0]","",40,0,200,dolog,"leading jet p_{T} [GeV]","pfJetGoodPt_0",doPF);
509	<	make_kin_plot("jeteta[0]","",40,-5,5,nolog,"leading jet #eta","pfJetGoodEta_0",doPF);
508	>	//  make_kin_plot("jetpt[0]","",40,0,200,dolog,"leading jet p_{T} [GeV]","pfJetGoodPt_0",doPF);
509	>	//  make_kin_plot("jeteta[0]","",40,-5,5,nolog,"leading jet #eta","pfJetGoodEta_0",doPF);
510		make_kin_plot("pt","",50,0,400,dolog,"Z p_{T} [GeV]","Zpt",doPF);
511		make_kin_plot("pt1","",50,0,100,nolog,"p_{T} [GeV]","pt1",doPF);
512		make_kin_plot("pt2","",50,0,100,nolog,"p_{T} [GeV]","pt2",doPF);
513		make_kin_plot("eta1","",40,-5,5,nolog,"#eta_{l}","eta",doPF);
514		make_kin_plot("jzb[1]","",100,-150,150,dolog,"JZB [GeV]","jzb_ossf",doPF);
515	<	make_kin_plot("pfJetGoodNum","",8,0.5,8.5,dolog,"nJets","nJets",doPF);
516	<	make_kin_plot("pfJetGoodNum","",8,0.5,8.5,dolog,"nJets","nJets_nocuts_except_mll_ossf",doPF);*//*
515	>	make_kin_plot("pfJetGoodNum40","",9,-0.5,8.5,dolog,"nJets","nJets",doPF);
516	>	make_kin_plot("pfJetGoodNum40","",9,-0.5,8.5,dolog,"nJets","nJets_osof",doPF);
517	>	make_kin_plot("pfJetGoodNum40","",9,-0.5,8.5,dolog,"nJets","nJets_nocuts_except_mll_ossf",doPF);
518		if(!doPF) make_special_mll_plot((int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]");
519		stringstream jzbcut;
520		jzbcut << "((is_data&&("<<datajzb<<")>100)||(!is_data&&("<<mcjzb<<")>100))";
#	Line 469 | Line 528 | void do_kinematic_plots(string mcjzb, st
528		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);
529		stringstream jzbcut3;
530		jzbcut3 << "((is_data&&("<<datajzb<<")>50)||(!is_data&&("<<mcjzb<<")>50))";
531	<	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);
532	<	*/
531	>	make_kin_plot("mll",jzbcut3.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB50",doPF,true);
532	>	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);
533	>
534	>	make_special_obs_pred_mll_plot(mcjzb,0);
535		make_special_obs_pred_mll_plot(mcjzb,50);
536		make_special_obs_pred_mll_plot(mcjzb,100);
537		make_special_obs_pred_mll_plot(mcjzb,150);
#	Line 547 | Line 608 | void region_comparison_plots(string mcjz
608
609
610		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- the arguments changed
611	<	for(int ijzb=0;ijzb<jzb_cuts.size();ijzb++) {
611	>	for(int ijzb=0;ijzb<(int)jzb_cuts.size();ijzb++) {
612		float jzbcut=jzb_cuts[ijzb]; // Comparison plots are done for this JZB cut
613		float mll_low=50;float mll_high=170;
614		if(!PlottingSetup::RestrictToMassPeak) {
#	Line 854 | Line 915 | if you want to start from scratch (witho
915		return return_functions;
916		}
917
918	<	void do_prediction_plot(string jzb, TCanvas *globalcanvas, float sigma, float high, int use_data, bool overlay_signal = false,string subdir="" )
918	>	void do_prediction_plot(string jzb, TCanvas *globalcanvas, float high, int use_data, bool overlay_signal = false,string subdir="" )
919		{
859	–	// note: sigma is not used ATM
920		switch_overunderflow(true);
921		bool is_data=false;
922		bool use_signal=false;
#	Line 931 | Line 991 | void do_prediction_plot(string jzb, TCan
991
992		TH1F *Bpred = (TH1F*)LcorrJZBeemm->Clone("Bpred");
993		TH1F *JBpred = (TH1F*)JLcorrJZBeemm->Clone("Bpred");
994	+
995	+	TH1F *BpredSys = new TH1F("Bpredsys","Bpredsys",PlottingSetup::global_ratio_binning.size()-1,&PlottingSetup::global_ratio_binning[0]);
996	+	ClearHisto(BpredSys);
997	+
998		if(PlottingSetup::RestrictToMassPeak) {
999		Bpred->Add(RcorrJZBem,1.0/3.);
1000		Bpred->Add(LcorrJZBem,-1.0/3.);
#	Line 953 | Line 1017 | void do_prediction_plot(string jzb, TCan
1017		JBpred->Add(JLcorrJZBSBem,-1.0/3.);
1018		JBpred->Add(JRcorrJZBSBeemm,1.0/3.);
1019		JBpred->Add(JLcorrJZBSBeemm,-1.0/3.);
1020	+
1021	+	//Systematics:
1022	+	AddSquared(BpredSys,JLcorrJZBeemm,zjetsestimateuncertONPEAK*zjetsestimateuncertONPEAK);
1023	+	AddSquared(BpredSys,JRcorrJZBem,emuncertONPEAK*emuncertONPEAK*(1.0/9));
1024	+	AddSquared(BpredSys,JLcorrJZBem,emuncertONPEAK*emuncertONPEAK*(1.0/9));
1025	+	AddSquared(BpredSys,JRcorrJZBSBem,emsidebanduncertONPEAK*emsidebanduncertONPEAK*(1.0/9));
1026	+	AddSquared(BpredSys,JLcorrJZBSBem,emsidebanduncertONPEAK*emsidebanduncertONPEAK*(1.0/9));
1027	+	AddSquared(BpredSys,JRcorrJZBSBeemm,eemmsidebanduncertONPEAK*eemmsidebanduncertONPEAK*(1.0/9));
1028	+	AddSquared(BpredSys,JLcorrJZBSBeemm,eemmsidebanduncertONPEAK*eemmsidebanduncertONPEAK*(1.0/9));
1029		} else {
1030		Bpred->Add(RcorrJZBem,1.0);
1031		Bpred->Add(LcorrJZBem,-1.0);
#	Line 962 | Line 1035 | void do_prediction_plot(string jzb, TCan
1035		//these are for the ratio
1036		JBpred->Add(JRcorrJZBem,1.0);
1037		JBpred->Add(JLcorrJZBem,-1.0);
1038	+
1039	+	//Systematics
1040	+	AddSquared(BpredSys,JLcorrJZBeemm,zjetsestimateuncertOFFPEAK*zjetsestimateuncertOFFPEAK);
1041	+	AddSquared(BpredSys,JRcorrJZBem,emuncertOFFPEAK*emuncertOFFPEAK);
1042	+	AddSquared(BpredSys,JLcorrJZBem,emuncertOFFPEAK*emuncertOFFPEAK);
1043	+
1044		}
1045
1046	<
1046	>	SQRT(BpredSys);
1047	>	BpredSys->Divide(JBpred);
1048	>
1049
1050		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- prediction changed
1051		TH1F *Tpred = (TH1F*)RcorrJZBem->Clone("Bpred");
#	Line 1009 | Line 1090 | void do_prediction_plot(string jzb, TCan
1090		blankback->Draw();
1091		if(use_data==1)
1092		{
1093	+	//Bpred->SetLineWidth(3); //paper style.overruled.
1094	+	//lm4RcorrJZBeemm->SetLineWidth(3); //paper style.overruled.
1095		analytical_function = do_extended_fit_to_plot(Bpred,Tpred,LcorrJZBeemm,LcorrJZBem,is_data);
1096		kinpad->cd();//necessary because the extended fit function creates its own canvas
1097		RcorrJZBeemm->Draw("e1x0,same");
1098
1099		Bpred->Draw("hist,same");
1100	<	analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1100	>	//analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1101		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1102		lm4RcorrJZBeemm->Draw("hist,same");
1103		legBpred->AddEntry(RcorrJZBeemm,"observed","p");
1104		legBpred->AddEntry(Bpred,"predicted","l");
1105	<	legBpred->AddEntry(analytical_function[1],"predicted fit","l");
1106	<	legBpred->AddEntry(analytical_function[2],"stat. uncert.","l");
1107	<	if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1105	>	//    legBpred->AddEntry(analytical_function[1],"predicted fit","l");
1106	>	//    legBpred->AddEntry(analytical_function[2],"stat. uncert.","l");
1107	>	legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1108		legBpred->Draw();
1109		DrawPrelim();
1110
#	Line 1050 | Line 1133 | void do_prediction_plot(string jzb, TCan
1133		Bpred->Draw("hist,same");
1134		//    analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1135		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1136	<	//    TH1F *lm4RcorrJZBeemmC = (TH1F*)lm4RcorrJZBeemm->Clone("lm4RcorrJZBeemmC");
1054	<	//    lm4RcorrJZBeemmC->SetLineColor(kOrange+1);
1055	<	lm4RcorrJZBeemm->SetLineColor(kOrange+1);
1056	<	//    lm4RcorrJZBeemmC->Draw("histo,same");
1136	>	//    lm4RcorrJZBeemm->SetLineColor(kOrange+1);
1137		lm4RcorrJZBeemm->SetLineWidth(2);
1138	+	//lm4RcorrJZBeemm->SetLineWidth(2); // paper style. overruled.
1139		lm4RcorrJZBeemm->Draw("histo,same");
1140		DrawPrelim();
1141		TLegend *speciallegBpred = make_legend("",0.45,0.55);
1142	+	//TLegend *speciallegBpred = make_legend("",0.35,0.55); // paper style. overruled.
1143		speciallegBpred->AddEntry(RcorrJZBeemm,"Data","pl");
1144		speciallegBpred->AddEntry(Bpred,"Total background","l");
1145		speciallegBpred->AddEntry(jzbnegative,"JZB<0 (data)","f");
#	Line 1065 | Line 1147 | void do_prediction_plot(string jzb, TCan
1147		//    speciallegBpred->AddEntry(lm4RcorrJZBeemmC,"LM4","l");
1148		speciallegBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1149		speciallegBpred->Draw();
1150	<	save_with_ratio(JRcorrJZBeemm,JBpred,predcomppad,subdir+"Bpred_Data_____PredictionComposition",true,use_data!=1,"data/pred");
1150	>	save_with_ratio(JRcorrJZBeemm,JBpred,predcomppad,subdir+"Bpred_Data_____PredictionComposition",true,true,"data/pred",BpredSys);
1151
1152		TCanvas *specialcanv = new TCanvas("specialcanv","specialcanv");
1153		THStack kostack = allsamples.DrawStack("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,!is_data, luminosity,use_signal);
#	Line 1087 | Line 1169 | void do_prediction_plot(string jzb, TCan
1169		}
1170		if(use_data==0) {
1171		RcorrJZBeemm->Draw("e1x0,same");
1172	+	//Bpred->SetLineWidth(3); // paper style. overruled.
1173		Bpred->Draw("hist,same");
1174		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1175		legBpred->AddEntry(RcorrJZBeemm,"MC true","p");
1176	<	legBpred->AddEntry(Bpred,"MC predicted","l");
1176	>	legBpred->AddEntry(Bpred,"MC predicted","l");
1177		if(versok) legBpred->AddEntry((TObject*)0,"",""); // Just for alignment // causes seg fault on root v5.18
1178		if(versok) legBpred->AddEntry((TObject*)0,"",""); // causes seg fault on root v5.18
1179		if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
#	Line 1101 | Line 1184 | void do_prediction_plot(string jzb, TCan
1184		}
1185		if(use_data==2) {
1186		RcorrJZBeemm->Draw("e1x0,same");
1187	+	//Bpred->SetLineWidth(3); // paper style. overruled.
1188		Bpred->Draw("hist,same");
1189		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1190		legBpred->AddEntry(RcorrJZBeemm,"MC true","p");
#	Line 1116 | Line 1200 | void do_prediction_plot(string jzb, TCan
1200		//      CompleteSave(globalcanvas,"Bpred_MCwithS"); // done below in save_with_ratio
1201		}
1202		{
1203	+	//lm4RcorrJZBeemm->SetLineWidth(3); //paper style. overruled.
1204	+	//RcorrJZBeemmNoS->SetLineWidth(3); //paper style. overruled.
1205	+	//lm4RcorrJZBeemm->SetLineStyle(2); //paper style. overruled.
1206	+	//RcorrJZBeemmNoS->SetLineStyle(3); //paper style. overruled.
1207	+	//lm4RcorrJZBeemm->SetLineColor(kOrange+1); //paper style. overruled.
1208	+
1209		RcorrJZBeemmNoS->SetLineStyle(2);
1210		legBpred2->AddEntry(RcorrJZBeemmNoS,"MC B","l");
1211		legBpred2->AddEntry(lm4RcorrJZBeemm,"MC S","l");
#	Line 1135 | Line 1225 | void do_prediction_plot(string jzb, TCan
1225		string ytitle("ratio");
1226		if ( use_data==1 ) ytitle = "data/pred";
1227		//save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,Bpredsaveas,true,use_data!=1,ytitle);
1228	<	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,subdir+Bpredsaveas,true,false,ytitle);//not extending the y range anymore up to 4
1228	>	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,subdir+Bpredsaveas,true,true,ytitle,BpredSys);//not extending the y range anymore up to 4
1229
1230
1231		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1232	<	/// The part below is meaningless for the offpeak analysis (it's a comparison of the different estimates but there is but one estimate!)
1232	>	// The part below is meaningless for the offpeak analysis (it's a comparison of the different estimates but there is but one estimate!)
1233		if(PlottingSetup::RestrictToMassPeak) {
1234		TH1F *Bpredem = (TH1F*)LcorrJZBeemm->Clone("Bpredem");
1235		Bpredem->Add(RcorrJZBem);
#	Line 1230 | Line 1320 | void do_prediction_plot(string jzb, TCan
1320
1321		void do_prediction_plots(string mcjzb, string datajzb, float DataSigma, float MCSigma, bool overlay_signal ) {
1322		TCanvas *globalcanvas = new TCanvas("globalcanvas","Prediction Canvas");
1323	<	do_prediction_plot(datajzb,globalcanvas,DataSigma,jzbHigh ,data,overlay_signal);
1324	<	do_prediction_plot(mcjzb,globalcanvas,MCSigma,jzbHigh ,mc,overlay_signal);
1325	<	do_prediction_plot(mcjzb,globalcanvas,MCSigma,jzbHigh ,mcwithsignal,overlay_signal);
1323	>	do_prediction_plot(datajzb,globalcanvas,jzbHigh ,data,overlay_signal);
1324	>	if ( !PlottingSetup::Approved ) {
1325	>	do_prediction_plot(mcjzb,globalcanvas,jzbHigh ,mc,overlay_signal);
1326	>	do_prediction_plot(mcjzb,globalcanvas,jzbHigh ,mcwithsignal,overlay_signal);
1327	>	} else {
1328	>	write_info(__FUNCTION__,"You set approved to true, therefore not producing prediction/observation plots for MC with and without signal.");
1329	>	}
1330		}
1331
1332		void do_ratio_plot(int is_data,vector<float> binning, string jzb, TCanvas *can, float high=-9999) {
#	Line 1652 | Line 1746 | void diboson_plots(string mcjzb, string
1746
1747
1748		dout << "Going to increase the cross section for diboson samples ... " << endl;
1749	<	for(int i=0;i<SamplesToBeModified.size();i++) {
1749	>	for(int i=0;i<(int)SamplesToBeModified.size();i++) {
1750		float origxs=(allsamples.collection)[SamplesToBeModified[i]].xs;
1751		(allsamples.collection)[SamplesToBeModified[i]].xs=origxs*stretchfactor;
1752		dout << "     Increased xs for sample " << (allsamples.collection)[SamplesToBeModified[i]].filename << " from " << origxs << " to " << (allsamples.collection)[SamplesToBeModified[i]].xs << " (by a factor of " << stretchfactor << ")" << endl;
#	Line 1662 | Line 1756 | void diboson_plots(string mcjzb, string
1756		}
1757
1758		dout << "Going to produce JZB plots" << endl;
1759	<	//  produce_stretched_jzb_plots(mcjzb,datajzb,ratio_binning);
1759	>	produce_stretched_jzb_plots(mcjzb,datajzb,ratio_binning);
1760		TCanvas *gloca = new TCanvas("gloca","gloca");
1667	–	float sigma=123456;
1761
1762		dout << "Going to produce prediction plots" << endl;
1763	<	do_prediction_plot(mcjzb, gloca, sigma, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do only MC plots, no signal
1764	<	do_prediction_plot(mcjzb, gloca, sigma, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do MC plots with signal
1763	>	do_prediction_plot(mcjzb, gloca, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do only MC plots, no signal
1764	>	do_prediction_plot(mcjzb, gloca, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do MC plots with signal
1765		delete gloca;
1766
1767		dout << "Going to reset the cross section for diboson samples ... " << endl;
1768	<	for(int i=0;i<SamplesToBeModified.size();i++) {
1768	>	for(int i=0;i<(int)SamplesToBeModified.size();i++) {
1769		float Upxs=(allsamples.collection)[SamplesToBeModified[i]].xs;
1770		(allsamples.collection)[SamplesToBeModified[i]].xs=(allsamples.collection)[SamplesToBeModified[i]].xs*(1.0/stretchfactor);
1771		string Upname=(allsamples.collection)[SamplesToBeModified[i]].samplename;
#	Line 1695 | Line 1788 | void jzb_plots(string mcjzb, string data
1788		for(int i=0;i<=coarserbins;i++)coarse_binning.push_back(min+i*(max-min)/((float)coarserbins));
1789		for(int i=0;i<=rebinnedbins;i++)coarsest_binning.push_back(min+i*(max-min)/((float)rebinnedbins));
1790
1791	<	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP",can,binning);
1792	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP",can,binning);
1793	<	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_SFZP",can,binning);
1794	<	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_SFZP",can,binning);
1795	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_OFZP",can,binning);
1796	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_OFZP",can,binning);
1797	<	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1798	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB",can,binning);
1799	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB",can,binning);
1791	>	if ( !PlottingSetup::Approved ) {
1792	>	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP",can,binning);
1793	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP",can,binning);
1794	>	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_SFZP",can,binning);
1795	>	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_SFZP",can,binning);
1796	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_OFZP",can,binning);
1797	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_OFZP",can,binning);
1798	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1799	>	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB",can,binning);
1800	>	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB",can,binning);
1801	>	}
1802
1803		draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP_coarse",can,coarse_binning);
1804	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP_coarse",can,coarse_binning);
1805	<	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1806	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB_coarse",can,coarse_binning);
1807	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB_coarse",can,coarse_binning);
1808	<
1809	<	//  draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP_coarsest",can,coarsest_binning);
1715	<	//  draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP_coarsest",can,coarsest_binning);
1716	<	//  flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1717	<	//  if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB_coarsest",can,coarsest_binning);
1718	<	//  if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB_coarsest",can,coarsest_binning);
1804	>	if ( !PlottingSetup::Approved ) {
1805	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP_coarse",can,coarse_binning);
1806	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1807	>	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB_coarse",can,coarse_binning);
1808	>	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB_coarse",can,coarse_binning);
1809	>	}
1810		delete can;
1811		}
1812
#	Line 1771 | Line 1862 | void compute_MC_yields(string mcjzb,vect
1862		string posneg[] = {"pos","neg"};
1863		TCut tkRegions[] = {cutOSSF&&cutnJets&&cutmass,cutOSOF&&cutnJets&&cutmass,cutOSSF&&cutnJets&&sidebandcut,cutOSOF&&cutnJets&&sidebandcut};
1864
1865	<	for(int ijzb=0;ijzb<jzb_cuts.size();ijzb++) {
1865	>	for(int ijzb=0;ijzb<(int)jzb_cuts.size();ijzb++) {
1866		TCut jzbMC[]  = { give_jzb_expression(mcjzb,jzb_cuts[ijzb],"pos"), give_jzb_expression(mcjzb,jzb_cuts[ijzb],"neg") };
1867		dout << "_________________________________________________________" << endl;
1868		dout << "Table for JZB> " << jzb_cuts[ijzb] << endl;
1869	<	for(int isample=0;isample<(allsamples.collection).size();isample++) {
1869	>	for(int isample=0;isample<(int)(allsamples.collection).size();isample++) {
1870		if(!(allsamples.collection)[isample].is_data) dout << (allsamples.collection)[isample].samplename << "  &  ";
1871		else dout << "Sample & ";
1872		for(int iregion=0;iregion<nRegions;iregion++) {
#	Line 2034 | Line 2125 | void draw_ttbar_and_zjets_shape_for_one_
2125
2126		void draw_ttbar_and_zjets_shape(string mcjzb, string datajzb) {
2127		int all_leptons=-1;
2037	–	int electrons_only=0;
2038	–	int mu_only=1;
2039	–	int twojetswith50gev=1;
2128		int threejetswith30gev=0;
2129		/*
2130	+	int twojetswith50gev=1;
2131	+	int electrons_only=0;
2132	+	int mu_only=1;
2133	+
2134		draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,all_leptons,twojetswith50gev);
2135		draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,all_leptons,threejetswith30gev);
2136
#	Line 2052 | Line 2144 | void draw_ttbar_and_zjets_shape(string m
2144		draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,all_leptons,threejetswith30gev,true);
2145		}
2146
2147	<	void find_correction_factors(string &jzbvardata,string &jzbvarmc) {
2056	<	//first: colorful plots
2147	>	float find_one_correction_factor(string FindKeyword, TCut SpecialCut, string SaveAs) {
2148		TCanvas *cancorr = new TCanvas("cancorr","Canvas for Response Correction");
2149		cancorr->SetLogz();
2150		cancorr->SetRightMargin(0.13);
2151	<	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
2152	<	TCut zptforresponsepresentation("pt<600"&&cutmass&&cutOSSF&&"((sumJetPt[1]/pt)<5.0)");
2151	>	TCut zptforresponsepresentation("pt<600"&&cutmass&&cutOSSF&&"((sumJetPt[1]/pt)<5.0)"&&SpecialCut);
2152	>	if(PlottingSetup::DoBTag) zptforresponsepresentation=zptforresponsepresentation&&PlottingSetup::bTagRequirement;
2153		TH2F *niceresponseplotd = new TH2F("niceresponseplotd","",100,0,600,100,0,5);
2154	<	(allsamples.collection)[allsamples.FindSample("Data")[0]].events->Draw("sumJetPt[1]/pt:pt>>niceresponseplotd",zptforresponsepresentation);
2154	>	vector<int> SampleIndices=allsamples.FindSample(FindKeyword);
2155	>	for(int iSample=0;iSample<SampleIndices.size();iSample++) {
2156	>	dout << "   Response correction : Using sample " << (allsamples.collection)[SampleIndices[iSample]].filename << endl;
2157	>	(allsamples.collection)[SampleIndices[iSample]].events->Draw("sumJetPt[1]/pt:pt>>+niceresponseplotd",zptforresponsepresentation*cutWeight);
2158	>	}
2159	>
2160		niceresponseplotd->SetStats(0);
2161		niceresponseplotd->GetXaxis()->SetTitle("Z p_{T} [GeV]");
2162		niceresponseplotd->GetYaxis()->SetTitle("Response");
#	Line 2069 | Line 2165 | void find_correction_factors(string &jzb
2165		niceresponseplotd->Draw("COLZ");
2166		TProfile * profd = (TProfile*)niceresponseplotd->ProfileX();
2167		profd->SetMarkerSize(DataMarkerSize);
2168	<	profd->Fit("pol0","","same,e1",30,400);
2168	>	profd->Fit("pol0","","same,e1",100,400);
2169		DrawPrelim();
2170	<	TText* title = write_text(0.5,0.7,"Data");
2170	>	string stitle="Data";
2171	>	if(!Contains(FindKeyword,"Data")) stitle="MC";
2172	>	TText* title = write_text(0.5,0.7,stitle.c_str());
2173		title->SetTextAlign(12);
2174		title->Draw();
2175		TF1 *datapol=(TF1*)profd->GetFunction("pol0");
2176	<	float datacorrection=datapol->GetParameter(0);
2177	<	stringstream dataresstring;
2178	<	dataresstring<<"Response: "<<std::setprecision(2)<<100*datacorrection<<" %";
2179	<	TText* restitle = write_text(0.5,0.65,dataresstring.str());
2176	>	float correction=datapol->GetParameter(0);
2177	>	stringstream resstring;
2178	>	resstring<<"Response: "<<std::setprecision(2)<<100*correction<<" %";
2179	>	TText* restitle = write_text(0.5,0.65,resstring.str());
2180		restitle->SetTextAlign(12);
2181		restitle->SetTextSize(0.03);
2182		restitle->Draw();
2183	<	CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_Data");
2183	>	CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_New_"+SaveAs);
2184	>	delete cancorr;
2185	>	delete niceresponseplotd;
2186	>	return correction;
2187	>	}
2188	>
2189	>	void find_correction_factors(string &jzbvardata,string &jzbvarmc) {
2190
2191	<	TH2F *niceresponseplotm = new TH2F("niceresponseplotm","",100,0,600,100,0,5);
2192	<	(allsamples.collection)[allsamples.FindSample("DY")[0]].events->Draw("sumJetPt[1]/pt:pt>>niceresponseplotm",zptforresponsepresentation);
2193	<	niceresponseplotm->SetStats(0);
2194	<	niceresponseplotm->GetXaxis()->SetTitle("Z p_{T} [GeV]");
2195	<	niceresponseplotm->GetYaxis()->SetTitle("Response");
2196	<	niceresponseplotm->GetXaxis()->CenterTitle();
2093	<	niceresponseplotm->GetYaxis()->CenterTitle();
2094	<	niceresponseplotm->Draw("COLZ");
2095	<	(allsamples.collection)[allsamples.FindSample("DY")[0]].events->Draw("sumJetPt[1]/pt:pt",zptforresponsepresentation,"PROF,same");
2096	<	TProfile * profm = (TProfile*)niceresponseplotm->ProfileX();
2097	<	profm->SetMarkerSize(DataMarkerSize);
2098	<	profm->Fit("pol0","","same,e1",30,400);
2099	<	DrawMCPrelim();
2100	<	title = write_text(0.5,0.7,"MC simulation");
2101	<	title->SetTextAlign(12);
2102	<	title->Draw();
2103	<	TF1 *mcpol=(TF1*)profm->GetFunction("pol0");
2104	<	float mccorrection=mcpol->GetParameter(0);
2105	<	stringstream mcresstring;
2106	<	mcresstring<<"Response: "<<std::setprecision(2)<<100*mccorrection<<" %";
2107	<	TText* mcrestitle = write_text(0.5,0.65,mcresstring.str());
2108	<	mcrestitle->SetTextAlign(12);
2109	<	mcrestitle->SetTextSize(0.03);
2110	<	mcrestitle->Draw();
2111	<	CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_MC");
2191	>	//Step 1 : Get results
2192	>	float datacorrection=find_one_correction_factor("Data","","Data");
2193	>	float mccorrection=find_one_correction_factor("DY","","MC");
2194	>
2195	>	float dataEEcorrection=find_one_correction_factor("Data","id1==0","Data_ee");
2196	>	float mcEEcorrection=find_one_correction_factor("DY","id1==0","MC_ee");
2197
2198	+	float dataMMcorrection=find_one_correction_factor("Data","id1==1","Data_mm");
2199	+	float mcMMcorrection=find_one_correction_factor("DY","id1==1","MC_mm");
2200
2201	<	//Step 2: Getting the result
2202	<	//  TCut zptcutforresponse("pt>30&&pt<300&&TMath::Abs(91.2-mll)<20&&id1==id2&&(ch1*ch2<0)");
2201	>	cout << "Corrections : " << endl;
2202	>	cout << "   Data : " << datacorrection << endl;
2203	>	cout << "     ee (" << dataEEcorrection << ") , mm (" << dataMMcorrection << ")" << endl;
2204	>	cout << "   MC : " << mccorrection << endl;
2205	>	cout << "     ee (" << mcEEcorrection << ") , mm (" << mcMMcorrection << ")" << endl;
2206	>
2207	>	cout << "        result from new one for data: " << 0.937097 << endl;
2208	>	cout << "        result from old one for data: " << 0.937097 << endl;
2209	>	cout << "        result from new one for MC: " << 0.96848 << endl;
2210	>	cout << "        result from old one for MC: " << 0.963502 << endl;
2211	>
2212	>
2213	>	//Step 2: Processing the result and making it into something useful :-)
2214		stringstream jzbvardatas;
2215	<	if(datacorrection>1) jzbvardatas<<"(jzb[1]-"<<datacorrection-1<<"*pt)";
2216	<	if(datacorrection<1) jzbvardatas<<"(jzb[1]+"<<1-datacorrection<<"*pt)";
2215	>	jzbvardatas << "(";
2216	>
2217	>	if(dataEEcorrection>=1) jzbvardatas<<"((id1==0&&id1==id2)*(jzb[1]-" << dataEEcorrection-1 << "*pt))";
2218	>	if(dataEEcorrection<1)  jzbvardatas<<"((id1==0&&id1==id2)*(jzb[1]+" << 1-dataEEcorrection << "*pt))";
2219	>
2220	>	if(dataMMcorrection>=1) jzbvardatas<<"+((id1==1&&id1==id2)*(jzb[1]-" << dataMMcorrection-1 << "*pt))";
2221	>	if(dataMMcorrection<1)  jzbvardatas<<"+((id1==1&&id1==id2)*(jzb[1]+" << 1-dataMMcorrection << "*pt))";
2222	>
2223	>	float averagecorrection=(dataMMcorrection+dataEEcorrection)/2.0;
2224	>
2225	>	if(averagecorrection>1) jzbvardatas<<"+((id1!=id2)*(jzb[1]-" << averagecorrection-1 << "*pt))";
2226	>	if(averagecorrection<1) jzbvardatas<<"+((id1!=id2)*(jzb[1]-" << 1-averagecorrection << "*pt))";
2227	>
2228	>	jzbvardatas << ")";
2229		jzbvardata=jzbvardatas.str();
2230	+
2231		stringstream jzbvarmcs;
2232	<	if(mccorrection>1) jzbvarmcs<<"(jzb[1]-"<<mccorrection-1<<"*pt)";
2233	<	if(mccorrection<1) jzbvarmcs<<"(jzb[1]+"<<1-mccorrection<<"*pt)";
2232	>	jzbvarmcs << "(";
2233	>
2234	>	if(mcEEcorrection>=1) jzbvarmcs<<"((id1==0&&id1==id2)*(jzb[1]-" << mcEEcorrection-1 << "*pt))";
2235	>	if(mcEEcorrection<1)  jzbvarmcs<<"((id1==0&&id1==id2)*(jzb[1]+" << 1-mcEEcorrection << "*pt))";
2236	>
2237	>	if(mcMMcorrection>=1) jzbvarmcs<<"+((id1==1&&id1==id2)*(jzb[1]-" << mcMMcorrection-1 << "*pt))";
2238	>	if(mcMMcorrection<1)  jzbvarmcs<<"+((id1==1&&id1==id2)*(jzb[1]+" << 1-mcMMcorrection << "*pt))";
2239	>
2240	>	float averagemccorrection=(mcMMcorrection+mcEEcorrection)/2.0;
2241	>
2242	>	if(averagemccorrection>1) jzbvarmcs<<"+((id1!=id2)*(jzb[1]-" << averagemccorrection-1 << "*pt))";
2243	>	if(averagemccorrection<1) jzbvarmcs<<"+((id1!=id2)*(jzb[1]-" << 1-averagemccorrection << "*pt))";
2244	>
2245	>	jzbvarmcs << ")";
2246		jzbvarmc=jzbvarmcs.str();
2247	+
2248		dout << "JZB Z pt correction summary : " << endl;
2249		dout << "  Data: The response is " << datacorrection << "  --> jzb variable is now : " << jzbvardata << endl;
2250		dout << "  MC  : The response is " << mccorrection << "  --> jzb variable is now : " << jzbvarmc << endl;
2251	+
2252		}
2253
2254		void pick_up_events(string cut) {
#	Line 2131 | Line 2256 | void pick_up_events(string cut) {
2256		allsamples.PickUpEvents(cut);
2257		}
2258
2259	<	void save_template(string mcjzb, string datajzb,vector<float> jzb_cuts,float MCPeakError,float DataPeakError) {
2259	>	void save_template(string mcjzb, string datajzb,vector<float> jzb_cuts,float MCPeakError,float DataPeakError, vector<float> jzb_shape_limit_bins) {
2260		dout << "Saving configuration template!" << endl;
2261		ofstream configfile;
2262		configfile.open("../DistributedModelCalculations/last_configuration.C");
#	Line 2151 | Line 2276 | void save_template(string mcjzb, string
2276		configfile<<"string datajzb=\"datajzb_ERROR\";\n";
2277		configfile<<"string mcjzb=\"mcjzb_ERROR\";\n";
2278		configfile<<"vector<float>jzb_cuts;\n";
2279	+	configfile<<"vector<float>jzb_shape_limit_bins;\n";
2280		configfile<<"float MCPeakError=-999;\n";
2281		configfile<<"float DataPeakError=-999;\n";
2282		configfile<<"}\n\n";
#	Line 2160 | Line 2286 | void save_template(string mcjzb, string
2286		configfile<<"mcjzb=\""<<mcjzb<<"\";\n\n";
2287		configfile<<"\n\nMCPeakError="<<MCPeakError<<";\n";
2288		configfile<<"DataPeakError="<<DataPeakError<<";\n\n";
2289	<	for(int i=0;i<jzb_cuts.size();i++) configfile<<"jzb_cuts.push_back("<<jzb_cuts[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2289	>	for(int i=0;i<(int)jzb_cuts.size();i++) configfile<<"jzb_cuts.push_back("<<jzb_cuts[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2290	>	configfile<<"\n\n";
2291	>	for(int i=0;i<(int)Nobs.size();i++) configfile<<"Nobs.push_back("<<Nobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2292	>	for(int i=0;i<(int)Npred.size();i++) configfile<<"Npred.push_back("<<Npred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2293	>	for(int i=0;i<(int)Nprederr.size();i++) configfile<<"Nprederr.push_back("<<Nprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2294		configfile<<"\n\n";
2295	<	for(int i=0;i<Nobs.size();i++) configfile<<"Nobs.push_back("<<Nobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2296	<	for(int i=0;i<Npred.size();i++) configfile<<"Npred.push_back("<<Npred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2297	<	for(int i=0;i<Nprederr.size();i++) configfile<<"Nprederr.push_back("<<Nprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2295	>	for(int i=0;i<(int)flippedNobs.size();i++) configfile<<"flippedNobs.push_back("<<flippedNobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2296	>	for(int i=0;i<(int)flippedNpred.size();i++) configfile<<"flippedNpred.push_back("<<flippedNpred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2297	>	for(int i=0;i<(int)flippedNprederr.size();i++) configfile<<"flippedNprederr.push_back("<<flippedNprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2298	>	for(int i=0;i<(int)jzb_shape_limit_bins.size();i++) configfile<<"jzb_shape_limit_bins.push_back("<<jzb_shape_limit_bins[i]<<"); // JZB shape bin boundary at " << jzb_shape_limit_bins[i] << "\n";
2299		configfile<<"\n\n";
2169	–	for(int i=0;i<flippedNobs.size();i++) configfile<<"flippedNobs.push_back("<<flippedNobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2170	–	for(int i=0;i<flippedNpred.size();i++) configfile<<"flippedNpred.push_back("<<flippedNpred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2171	–	for(int i=0;i<flippedNprederr.size();i++) configfile<<"flippedNprederr.push_back("<<flippedNprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2300		configfile<<"\n\n";
2301		configfile<<"luminosity="<<luminosity<<";\n";
2302		configfile<<"RestrictToMassPeak="<<RestrictToMassPeak<<";//defines the type of analysis we're running\n";
#	Line 2194 | Line 2322 | void draw_all_ttbar_histos(TCanvas *can,
2322		float max=histos[0]->GetMaximum();
2323		if(manualmin>=0) min=manualmin;
2324		else {
2325	<	for(int i=1;i<histos.size();i++) {
2325	>	for(int i=1;i<(int)histos.size();i++) {
2326		float curmin=get_nonzero_minimum(histos[i]);
2327		float curmax=histos[i]->GetMaximum();
2328		if(curmin<min) min=curmin;
#	Line 2205 | Line 2333 | void draw_all_ttbar_histos(TCanvas *can,
2333		histos[0]->Draw(drawoption.c_str());
2334		stringstream drawopt;
2335		drawopt << drawoption << ",same";
2336	<	for(int i=1;i<histos.size();i++) {
2336	>	for(int i=1;i<(int)histos.size();i++) {
2337		histos[i]->Draw(drawopt.str().c_str());
2338		}
2339		}
#	Line 2214 | Line 2342 | void ttbar_sidebands_comparison(string m
2342		//in the case of the on peak analysis, we compare the 3 control regions to the real value
2343		//in the case of the OFF peak analysis, we compare our control region to the real value
2344		TCut weightbackup=cutWeight;
2345	<	cutWeight="1.0";
2345	>	//  cutWeight="1.0";
2346		float simulatedlumi = luminosity; //in pb please - adjust to your likings
2347
2348
#	Line 2272 | Line 2400 | void ttbar_sidebands_comparison(string m
2400		leg->Draw("same");
2401		DrawMCPrelim(simulatedlumi);
2402		CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_shape_comparison");
2275	–	cout << __LINE__ << endl;
2403		TH1F *TZemcopy = (TH1F*)TZem->Clone("TZemcopy");
2277	–	cout << __LINE__ << endl;
2404		TH1F *TZeemmcopy = (TH1F*)TZeemm->Clone("TZeemmcopy");
2279	–	cout << __LINE__ << endl;
2405		TH1F *TSeemmcopy;
2406		TH1F *TSemcopy;
2407		if(PlottingSetup::RestrictToMassPeak) {
#	Line 2467 | Line 2592 | void ttbar_sidebands_comparison(string m
2592		}
2593
2594
2595	<	void zjets_prediction_comparison() {
2595	>	void zjets_prediction_comparison(string mcjzbWithPU) {
2596	>	TCanvas *zcan = new TCanvas("zcan","zcan");
2597	>	zcan->SetLogy(1);
2598	>	TCut weightbackup=cutWeight;
2599	>
2600	>	/*
2601		// Do it without PU re-weighting
2602		float MCPeakNoPU=0,MCPeakErrorNoPU=0,DataPeakNoPU=0,DataPeakErrorNoPU=0,MCSigma=0,DataSigma=0;
2603		stringstream resultsNoPU;
2604
2605		stringstream mcjzbnoPU;
2606	<	find_peaks(MCPeakNoPU,MCPeakErrorNoPU, DataPeakNoPU, DataPeakErrorNoPU,MCSigma,DataSigma,resultsNoPU,false);
2606	>	find_peaks(MCPeakNoPU,MCPeakErrorNoPU, DataPeakNoPU, DataPeakErrorNoPU,MCSigma,DataSigma,resultsNoPU,true);
2607		if(MCPeakNoPU>0) mcjzbnoPU<<"("<<jzbvariablemc<<"-"<<TMath::Abs(MCPeakNoPU)<<")";
2608		else mcjzbnoPU<<"("<<jzbvariablemc<<"+"<<TMath::Abs(MCPeakNoPU)<<")";
2609
2610		string mcjzb = mcjzbnoPU.str();
2611		dout << "The peak corrected JZB expression for MC without pileup is : " <<  mcjzb << endl;
2612
2483	–	TCut weightbackup=cutWeight;
2613		cutWeight="1.0";
2614	<	float sbg_min=0.;
2615	<	float sbg_max=100.;
2616	<	int sbg_nbins=5;
2614	>	*/
2615	>	string mcjzb = mcjzbWithPU; // this is with PURW, if you want without it you have to uncomment the part above (and comment out this line)
2616	>
2617	>	vector<float> binning;
2618	>	binning.push_back(0);
2619	>	binning.push_back(20);
2620	>	binning.push_back(40);
2621	>	binning.push_back(60);
2622	>	binning.push_back(80);
2623	>	binning.push_back(100);
2624	>	//  float sbg_min=0.;
2625	>	//  float sbg_max=100.;
2626	>	//  int sbg_nbins=5;
2627		float simulatedlumi = luminosity;//in pb please - adjust to your likings
2628
2629		TCut kPos((mcjzb+">0").c_str());
2630		TCut kNeg((mcjzb+"<0").c_str());
2631		string var( "abs("+mcjzb+")" );
2632
2633	<	TCut kcut(cutmass&&cutOSSF&&"pfJetGoodNum>2");
2634	<	TH1F *hJZBpos = systsamples.Draw("hJZBpos",var,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",
2635	<	kcut&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
2497	<	TH1F *hJZBneg = systsamples.Draw("hJZBneg",var,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",
2498	<	kcut&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
2633	>	TCut kcut(cutmass&&cutOSSF&&cutnJets);
2634	>	TH1F *hJZBpos = systsamples.Draw("hJZBpos",var,binning, "JZB [GeV]", "events",kcut&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
2635	>	TH1F *hJZBneg = systsamples.Draw("hJZBneg",var,binning, "JZB [GeV]", "events",kcut&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
2636		hJZBpos->SetLineColor(kBlack);
2637		hJZBneg->SetLineColor(kRed);
2638
2639	<	Int_t nbins = 5;
2503	<	Float_t xmax = 100.;
2504	<
2505	<
2506	<	TCanvas *zcan = new TCanvas("zcan","zcan");
2507	<	zcan->SetLogy(1);
2508	<
2639	>	hJZBpos->SetMinimum(1.0);
2640		hJZBpos->Draw("e1");
2641		hJZBneg->Draw("same,hist");
2642		hJZBpos->Draw("same,e1"); // So it's on top...
#	Line 2525 | Line 2656 | void zjets_prediction_comparison() {
2656		hratio->GetYaxis()->SetTitle("Observed/Predicted");
2657		hratio->Draw("e1");
2658
2659	<	TLine *top = new TLine(sbg_min,1.25,sbg_max,1.25);
2660	<	TLine *center = new TLine(sbg_min,1.0,sbg_max,1.0);
2661	<	TLine *bottom = new TLine(sbg_min,0.75,sbg_max,0.75);
2659	>	TLine *top = new TLine(binning[0],1.25,binning[binning.size()-1],1.25);
2660	>	TLine *center = new TLine(binning[0],1.0,binning[binning.size()-1],1.0);
2661	>	TLine *bottom = new TLine(binning[0],0.75,binning[binning.size()-1],0.75);
2662
2663
2664		top->SetLineColor(kBlue);top->SetLineStyle(2);
#	Line 2569 | Line 2700 | void sideband_assessment(string datajzb,
2700		tout << "\\begin{tabular}{l|cc}" << endl;
2701		tout << "\\hline" << endl;
2702		tout << "& {\\OFZP} & {\\OFSB} \\\\\\hline" << endl;
2703	<	tout << "\\#(events) & "<<OFSB<<" & "<<OFZP<<"\\\\ \\hline" << endl;
2703	>	tout << "\\#(events) & "<<OFZP<<" & "<<OFSB<<"\\\\ \\hline" << endl;
2704		tout << "\\end{tabular}" << endl;
2705		tout << "\\end{center}" << endl;
2706		tout << "\\end{table}" << endl;
#	Line 2587 | Line 2718 | void make_table(samplecollection &coll,
2718
2719		TCanvas *cannie = new TCanvas("cannie","cannie");
2720
2721	<	for(int icut=0;icut<jzb_cuts.size();icut++) {
2721	>	for(int icut=0;icut<(int)jzb_cuts.size();icut++) {
2722		float currcut=jzb_cuts[icut];
2723		int nbins=1;float low=currcut;
2724		vector<int> mysample;
#	Line 2646 | Line 2777 | void make_table(samplecollection &coll,
2777		//prediction part
2778		if(is_data) cout << "Data prediction & ";
2779		if(subselection!="none") cout << subselection << " prediction &";
2780	<	for(int ij=0;ij<jzb_cuts.size();ij++) cout << jzbcutprediction[ij] << " vs " << metcutprediction[ij] << " & ";
2780	>	for(int ij=0;ij<(int)jzb_cuts.size();ij++) cout << jzbcutprediction[ij] << " vs " << metcutprediction[ij] << " & ";
2781
2782		cout << endl;
2783		//observation part
2784		if(is_data) cout << "Data observation & ";
2785		if(subselection!="none") cout << subselection << " observation &";
2786	<	for(int ij=0;ij<jzb_cuts.size();ij++) cout << jzbcutobservation[ij] << " vs " << metcutobservation[ij] << " & ";
2786	>	for(int ij=0;ij<(int)jzb_cuts.size();ij++) cout << jzbcutobservation[ij] << " vs " << metcutobservation[ij] << " & ";
2787		cout << endl;
2788		cout << "_________________________________________________________________" << endl;
2789		delete cannie;
#	Line 2687 | Line 2818 | void JZBSelEff(string mcjzb, TTree* even
2818		int nbins = sizeof(xbins)/sizeof(float)-1;
2819		int markers[] = { 20, 26, 21, 24, 22, 25, 28 };
2820
2821	<	TH1F* heff  = new TH1F("heff", "JZB eff ; generator-level JZB [GeV]; efficiency",nbins,xbins);
2822	<	TH1F* hgen  = new TH1F("hgen", "JZB gen ; generator-level JZB [GeV]; efficiency",nbins,xbins);
2823	<	TH1F* hreco = new TH1F("hreco","JZB reco ; generator-level JZB [GeV]; efficiency",nbins,xbins);
2821	>
2822	>	TH1F* heff  = new TH1F("heff", "JZB eff ; generator JZB [GeV]; efficiency",nbins,xbins);
2823	>	TH1F* hgen  = new TH1F("hgen", "JZB gen ; generator JZB [GeV]; efficiency",nbins,xbins);
2824	>	TH1F* hreco = new TH1F("hreco","JZB reco ; generator JZB [GeV]; efficiency",nbins,xbins);
2825
2826		TCut kgen(genMassCut&&"genZPt>0&&genNjets>2&&abs(genMID)==23"&&cutOSSF);
2827		TCut kreco(cutmass);
#	Line 2705 | Line 2837 | void JZBSelEff(string mcjzb, TTree* even
2837		TCanvas *can = new TCanvas("can","Canvas for JZB Efficiency",600,600);
2838		can->SetGridx(1);
2839		can->SetGridy(1);
2840	+	can->SetLeftMargin(0.16);
2841	+	can->SetRightMargin(0.05);
2842		TLegend *leg = make_legend("",0.6,0.2,false,0.89,0.5);
2843	+	leg->SetBorderSize(1);
2844	+	leg->SetLineColor(kBlack);
2845	+	leg->SetTextFont(62);
2846
2847	<
2711	<
2712	<	for ( int icut=0; icut<jzb_bins.size(); ++icut ) {
2847	>	for ( int icut=0; icut<(int)jzb_bins.size(); ++icut ) {
2848
2849		ostringstream selection;
2850		selection << mcjzb << ">" << jzb_bins[icut];
#	Line 2725 | Line 2860 | void JZBSelEff(string mcjzb, TTree* even
2860		}
2861
2862		heff->GetXaxis()->SetRangeUser(min, max);
2863	+	//    heff->GetXaxis()->SetLabelSize(0.05); // paper style. overruled.
2864	+	//    heff->GetYaxis()->SetLabelSize(0.05); // paper style. overruled.
2865	+	//    heff->GetXaxis()->SetTitleSize(0.06); // paper style. overruled.
2866	+	//    heff->GetYaxis()->SetTitleSize(0.06); // paper style. overruled.
2867		heff->SetMarkerStyle(markers[icut]);
2868		heff->Fit("func","Q+","same");
2869
#	Line 2736 | Line 2875 | void JZBSelEff(string mcjzb, TTree* even
2875
2876		// Store plot
2877		TH1F* h = (TH1F*)heff->Clone(hname);
2878	+	h->SetNdivisions(505,"X");
2879		if ( icut) h->Draw("same");
2880		else h->Draw();
2881		char htitle[256]; sprintf(htitle,"JZB > %3.0f GeV", jzb_bins[icut]);
#	Line 2756 | Line 2896 | void JZBSelEff(string mcjzb, TTree* even
2896		// Calls the above function for each signal sample
2897		void plot_jzb_sel_eff(string mcjzb, samplecollection &signalsamples, vector<float> bins )
2898		{
2899	<	for (int isignal=0; isignal<signalsamples.collection.size();isignal++) {
2899	>	for (int isignal=0; isignal<(int)signalsamples.collection.size();isignal++) {
2900		dout << "JZB selection efficiency curve: " << std::endl;
2901		JZBSelEff(mcjzb,(signalsamples.collection)[isignal].events,(signalsamples.collection)[isignal].samplename,bins); // Only for some selected samples
2902		}
#	Line 2799 | Line 2939 | void qcd_plots(string datajzb, string mc
2939		TH1F *RcorrJZBSBeemm;
2940		TH1F *LcorrJZBSBeemm;
2941
2942	<	TH1F *RcorrJZBeemmNoS;
2942	>	//  TH1F *RcorrJZBeemmNoS;
2943
2944		//these are for the ratio
2945		TH1F *JRcorrJZBeemm   = qcdsamples.Draw("JRcorrJZBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
#	Line 2883 | Line 3023 | void qcd_plots(string datajzb, string mc
3023		//3rd last argument: do special bpred ratio, 2nd last argument: extended range!, last: y-axis title
3024		string ytitle("ratio");
3025		if ( use_data==1 ) ytitle = "data/pred";
3026	<	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,"QCD/Bpred",true,use_data!=1,ytitle);
3026	>	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,"QCD/Bpred",true,false,ytitle);
3027
3028		TH1F *allevents = qcdsamples.Draw("allevents","pfJetGoodNum",1,0,100, "internal code", "events", "" ,mc, luminosity);
3029		TH1F *ossf = qcdsamples.Draw("ossf","pfJetGoodNum",1,0,100, "internal code", "events", cutOSSF ,mc, luminosity);
#	Line 2930 | Line 3070 | void qcd_plots(string datajzb, string mc
3070		dout << "    Observation increases by : " << RcorrJZBeemm->Integral() << endl;
3071
3072		dout << endl;
3073	<	for(int i=0;i<bins.size();i++) {
3073	>	for(int i=0;i<(int)bins.size();i++) {
3074		dout << " JZB > " << bins[i] << " : " << endl;
3075		dout << "    Observation increases by : " << RcorrJZBeemm->Integral(RcorrJZBeemm->FindBin(bins[i]),RcorrJZBeemm->GetNbinsX()) << endl;
3076		if(PlottingSetup::RestrictToMassPeak) {
#	Line 2978 | Line 3118 | void check_ptsanity() {
3118		leg->SetY2(1.0);
3119
3120
3121	<	for(int isample=0;isample<allsamples.collection.size();isample++) {
3121	>	for(int isample=0;isample<(int)allsamples.collection.size();isample++) {
3122		string nowname=(allsamples.collection)[isample].filename;
3123		cout << "Drawing: " << nowname << " (sample " << isample+1 << " / " << allsamples.collection.size() << ")" << endl;
3124		individualpt1histos[isample] = allsamples.Draw(GetNumericHistoName(),"pt1",50,0,50, "p_{T,1}", "events",cutOSSF&&cutnJets,mc,luminosity,allsamples.FindSample(nowname));
#	Line 3002 | Line 3142 | void check_ptsanity() {
3142		ptsancan->cd(2);
3143		fpt2->Draw();
3144
3145	<	for(int isample=0;isample<allsamples.collection.size();isample++) {
3145	>	for(int isample=0;isample<(int)allsamples.collection.size();isample++) {
3146		ptsancan->cd(1);
3147		individualpt1histos[isample]->DrawNormalized("same,histo");
3148		ptsancan->cd(2);
#	Line 3018 | Line 3158 | void check_ptsanity() {
3158		void do_mlls_plot(string mcjzb) {
3159		cout << "At this point we'd plot the mll distribution" << endl;
3160		TCanvas *sigcan = new TCanvas("sigcan","sigcan");
3161	<	for(int isig=0;isig<(signalsamples.collection).size();isig++) {
3161	>	for(int isig=0;isig<(int)(signalsamples.collection).size();isig++) {
3162		if(!(signalsamples.collection)[isig].events) continue;
3163		string nowname=(signalsamples.collection)[isig].filename;
3164		TH1F *mll = signalsamples.Draw("mllhisto","mll",150,0,150, "m_{ll}", "events",cutOSSF&&cutnJets,mc,luminosity,signalsamples.FindSample(nowname));
#	Line 3057 | Line 3197 | void met_vs_jzb_plots() {
3197		findme.push_back("TTJets");
3198		findme.push_back("LM");
3199
3200	<	for(int ifind=0;ifind<findme.size();ifind++) {
3200	>	for(int ifind=0;ifind<(int)findme.size();ifind++) {
3201		vector<int> selsamples = allsamples.FindSample(findme[ifind]);
3202		TH2F *metvsjzb = new TH2F("metvsjzb","metvsjzb",200,0,100,400,-100,100);
3203	<	for(int isel=0;isel<selsamples.size();isel++) {
3203	>	for(int isel=0;isel<(int)selsamples.size();isel++) {
3204		cout << "Producing MET:JZB plot ... working on sample: " << allsamples.collection[selsamples[isel]].filename << endl;
3205		allsamples.collection[selsamples[isel]].events->Draw("jzb[1]:met[4]>>+metvsjzb",cutmass&&cutOSSF);
3206		}

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