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Comparing UserCode/cbrown/Development/Plotting/Modules/Plotting_Functions.C (file contents):
Revision 1.10 by buchmann, Fri Mar 30 07:05:45 2012 UTC vs.
Revision 1.23 by buchmann, Thu Jun 7 08:16:28 2012 UTC

#	Line 35 | Line 35 | void find_peaks(float &MCPeak,float &MCP
35		// Temporarily switch off PU reweighting, if asked
36		TCut weightbackup=cutWeight;
37		if ( !doPUreweighting ) cutWeight="1.0";
38	<
38	>
39		TCanvas *tempcan = new TCanvas("tempcan","Temporary canvas for peak finding preparations");
40		TH1F *rawJZBeemmMC      = allsamples.Draw("rawJZBeemmMC",jzbvariablemc,100,-50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,mc, luminosity);
41		TH1F *rawJZBeemmData    = allsamples.Draw("rawJZBeemmData",jzbvariabledata,100, -50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,data, luminosity);
#	Line 72 | Line 72 | void find_peaks(float &MCPeak,float &MCP
72		delete tempcan;
73		}
74
75	+	void make_special_obs_pred_mll_plot(string mcjzb, float jzbthreshold) {
76	+	float min=70.0;
77	+	float max=115.0;
78	+	if(!PlottingSetup::RestrictToMassPeak) {
79	+	min=10;
80	+	max=150;
81	+	}
82	+	int nbins=int((max-min)/5);
83	+
84	+	TCanvas *ckin = new TCanvas("ckin","Kinematic Plots (in the making)",600,600);
85	+
86	+	stringstream largerzeroS;
87	+	largerzeroS << "(" << mcjzb << ">" << jzbthreshold << ")";
88	+	TCut largerzero(largerzeroS.str().c_str());
89	+
90	+	stringstream smallerzeroS;
91	+	smallerzeroS << "(" << mcjzb << "<-" << jzbthreshold << ")";
92	+	TCut smallerzero(smallerzeroS.str().c_str());
93	+
94	+	TH1F *RcorrJZBeemm     = allsamples.Draw("RcorrJZBeemm",       "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,data,luminosity);
95	+	THStack mcRcorrJZBeemm = allsamples.DrawStack("mcRcorrJZBeemm","mll",nbins,min,max, "m_{ll} [GeV}", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,mc,luminosity);
96	+	TH1F *LcorrJZBeemm     = allsamples.Draw("LcorrJZBeemm",       "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&smallerzero,data,luminosity);
97	+	TH1F *RcorrJZBem       = allsamples.Draw("RcorrJZBem",         "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&largerzero,data,luminosity);
98	+	TH1F *LcorrJZBem       = allsamples.Draw("LcorrJZBem",         "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&smallerzero,data,luminosity);
99	+
100	+	TH1F *RcorrJZBSBem;
101	+	TH1F *LcorrJZBSBem;
102	+	TH1F *RcorrJZBSBeemm;
103	+	TH1F *LcorrJZBSBeemm;
104	+
105	+	//  TH1F *RcorrJZBeemmNoS;
106	+
107	+	if(PlottingSetup::RestrictToMassPeak) {
108	+	RcorrJZBSBem   = allsamples.Draw("RcorrJZBSBem",  "mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&largerzero,data, luminosity);
109	+	LcorrJZBSBem   = allsamples.Draw("LcorrJZBSBem",  "mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&smallerzero,data, luminosity);
110	+	RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm","mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&largerzero,data, luminosity);
111	+	LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm","mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&smallerzero,data, luminosity);
112	+	}
113	+
114	+	TH1F *Bpred = (TH1F*)LcorrJZBeemm->Clone("Bpred");
115	+	if(PlottingSetup::RestrictToMassPeak) {
116	+	Bpred->Add(RcorrJZBem,1.0/3.);
117	+	Bpred->Add(LcorrJZBem,-1.0/3.);
118	+	Bpred->Add(RcorrJZBSBem,1.0/3.);
119	+	Bpred->Add(LcorrJZBSBem,-1.0/3.);
120	+	Bpred->Add(RcorrJZBSBeemm,1.0/3.);
121	+	Bpred->Add(LcorrJZBSBeemm,-1.0/3.);
122	+	} else {
123	+	Bpred->Add(RcorrJZBem,1.0);
124	+	Bpred->Add(LcorrJZBem,-1.0);
125	+	}
126	+
127	+	Bpred->SetLineColor(kRed);
128	+
129	+	RcorrJZBeemm->Draw();
130	+	mcRcorrJZBeemm.Draw("same");
131	+	Bpred->Draw("histo,same");
132	+	RcorrJZBeemm->Draw("same");
133	+
134	+	TLegend *leg = allsamples.allbglegend();
135	+	leg->SetX1(0.58);
136	+	leg->AddEntry(RcorrJZBeemm,"observed (data)","l");
137	+	leg->AddEntry(Bpred,"predicted (data)","l");
138	+	leg->Draw("same");
139	+
140	+	stringstream saveas;
141	+	saveas << "kin/Mll_After_Cut/Cut_At" << jzbthreshold;
142	+	CompleteSave(ckin,saveas.str());
143	+
144	+	delete RcorrJZBeemm;
145	+	delete LcorrJZBeemm;
146	+	delete RcorrJZBem;
147	+	delete LcorrJZBem;
148	+	if(PlottingSetup::RestrictToMassPeak) {
149	+	delete RcorrJZBSBeemm;
150	+	delete LcorrJZBSBeemm;
151	+	delete RcorrJZBSBem;
152	+	delete LcorrJZBSBem;
153	+	}
154	+	delete Bpred;
155	+	delete ckin;
156	+	}
157	+
158		void make_special_mll_plot(int nbins, float min, float max, bool logscale,string xlabel) {
159
160		TCanvas *ckin = new TCanvas("ckin","Kinematic Plots (in the making)",600,600);
#	Line 106 | Line 189 | void make_special_mll_plot(int nbins, fl
189		TIter next(bgleg->GetListOfPrimitives());
190		TObject* obj;
191		// Copy the nice bkgd legend skipping the "data"
192	<	while ( obj = next() )
192	>	while ( (obj = next()) )
193		if ( strcmp(((TLegendEntry*)obj)->GetObject()->GetName(),"datahistoOSSF") )
194		kinleg->GetListOfPrimitives()->Add(obj);
195
#	Line 125 | Line 208 | void draw_ratio_plot(TH1* hdata, THStack
208		TIter next(hmc.GetHists());
209		TObject* obj;
210		TH1* hratio = NULL;
211	<	while ( obj = next() ) {
211	>	while ( (obj = next()) ) {
212		if ( !hratio ) {
213		hratio = (TH1*)obj->Clone();
214		hratio->SetName("hratio");
#	Line 186 | Line 269 | void make_kin_plot(string variable, stri
269		TCut cut;
270		cut=cutmass&&cutOSSF&&cutnJets&&ibasiccut;
271		if(filename=="nJets") cut=cutmass&&cutOSSF&&ibasiccut;
272	+	if(filename=="nJets_osof") cut=cutmass&&cutOSOF&&ibasiccut;
273		if(filename=="nJets_nocuts_except_mll_ossf") cut=cutmass&&cutOSSF;
274		if(filename=="mll") {
275		cut=cutOSSF&&cutnJets&&ibasiccut;
#	Line 197 | Line 281 | void make_kin_plot(string variable, stri
281		draw_separation_lines=true;
282		}
283		if(filename=="mll_mm") cut=cutOSSF&&cutnJets&&ibasiccut&&"id1==1";
284	<	if(filename=="mll_aboveJZB100") cut=cutOSSF&&cutnJets&&ibasiccut;
284	>	if(Contains(filename,"mll_aboveJZB100")) cut=cutOSSF&&cutnJets&&ibasiccut;
285	>	if(Contains(filename,"mll_osof_aboveJZB")) cut=cutOSOF&&cutnJets&&ibasiccut;
286		if(filename=="mll_inclusive"||filename=="mll_inclusive_highrange") cut=cutOSSF;
287		if(filename=="mll_inclusive_osof") cut=cutOSOF;
288		if(filename=="mll_inclusive_ee") cut=cutOSSF&&"id1==0";
#	Line 212 | Line 297 | void make_kin_plot(string variable, stri
297		THStack mcstack = allsamples.DrawStack("mcstack",variable,nbins,min,max, xlabel, "events",cut,mc,luminosity);
298		if(variable=="pfJetGoodPt[0]") datahisto->SetMaximum(10*datahisto->GetMaximum());
299		if(variable=="pt") datahisto->SetMaximum(10*datahisto->GetMaximum());
300	<	if(filename=="mll_inclusive") datahisto->SetMinimum(1);
300	>	if(filename=="mll_inclusive"||filename=="mll_inclusive_mm"||filename=="mll_inclusive_ee") datahisto->SetMinimum(1);
301		if(filename=="mll_osof") datahisto->SetMaximum(10*datahisto->GetMaximum());
302		if(filename=="mll_osof") datahisto->SetMinimum(9);
218	–
303		datahisto->SetMaximum(5.3*datahisto->GetMaximum());
304		datahisto->Draw("e1");
305		ckin->Update();
#	Line 295 | Line 379 | void make_kin_plot(string variable, stri
379		delete ckin;
380		}
381
298	–
382		void make_JES_plot() {
383
384		int nbins=10;
#	Line 347 | Line 430 | void do_kinematic_plots(string mcjzb, st
430		bool dolog=true;
431		bool nolog=false;
432		if(doPF) write_warning(__FUNCTION__,"Please use caution when trying to produce PF plots; not all versions of the JZB trees have these variables!");
433	<	float mll_low=40;
433	>	float mll_low=50;
434		float mll_hi=160;
435		if(!PlottingSetup::RestrictToMassPeak) {
436	<	mll_low=30;
437	<	mll_hi=180;
436	>	mll_low=20;
437	>	mll_hi=210;
438		}
439	+
440	+	make_kin_plot("met[4]","",40,0,200,dolog,"MET [GeV]","met",doPF,true);
441		make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll",doPF,true);
442		make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_osof",doPF,true,true);
443		make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_ee",doPF,true);
#	Line 360 | Line 445 | void do_kinematic_plots(string mcjzb, st
445		make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive",doPF,true);
446		make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_ee",doPF,true);
447		make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_mm",doPF,true);
448	<	make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_osof",doPF,true);
448	>	make_kin_plot("mll","",(int)((mll_hi-mll_low))/2,mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_osof",doPF,true);
449		make_kin_plot("mll","",(int)((350-mll_low)),mll_low,350,dolog,"m_{ll} [GeV]","mll_inclusive_highrange",doPF);
450	<	make_kin_plot("jetpt[0]","",40,0,200,dolog,"leading jet p_{T} [GeV]","pfJetGoodPt_0",doPF);
451	<	make_kin_plot("jeteta[0]","",40,-5,5,nolog,"leading jet #eta","pfJetGoodEta_0",doPF);
450	>	make_kin_plot("numVtx","",(int)(30.5-(-0.5)),-0.5,30.5,nolog,"N(Vtx)","numVtx",doPF);
451	>	//  make_kin_plot("jetpt[0]","",40,0,200,dolog,"leading jet p_{T} [GeV]","pfJetGoodPt_0",doPF);
452	>	//  make_kin_plot("jeteta[0]","",40,-5,5,nolog,"leading jet #eta","pfJetGoodEta_0",doPF);
453		make_kin_plot("pt","",50,0,400,dolog,"Z p_{T} [GeV]","Zpt",doPF);
454		make_kin_plot("pt1","",50,0,100,nolog,"p_{T} [GeV]","pt1",doPF);
455		make_kin_plot("pt2","",50,0,100,nolog,"p_{T} [GeV]","pt2",doPF);
456		make_kin_plot("eta1","",40,-5,5,nolog,"#eta_{l}","eta",doPF);
457		make_kin_plot("jzb[1]","",100,-150,150,dolog,"JZB [GeV]","jzb_ossf",doPF);
458	<	make_kin_plot("pfJetGoodNum","",8,0.5,8.5,dolog,"nJets","nJets",doPF);
459	<	make_kin_plot("pfJetGoodNum","",8,0.5,8.5,dolog,"nJets","nJets_nocuts_except_mll_ossf",doPF);
458	>	make_kin_plot("pfJetGoodNum40","",9,-0.5,8.5,dolog,"nJets","nJets",doPF);
459	>	make_kin_plot("pfJetGoodNum40","",9,-0.5,8.5,dolog,"nJets","nJets_osof",doPF);
460	>	make_kin_plot("pfJetGoodNum40","",9,-0.5,8.5,dolog,"nJets","nJets_nocuts_except_mll_ossf",doPF);
461		if(!doPF) make_special_mll_plot((int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]");
462		stringstream jzbcut;
463		jzbcut << "((is_data&&("<<datajzb<<")>100)||(!is_data&&("<<mcjzb<<")>100))";
464		make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB100",doPF,true);
465	+	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);
466	+	make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB100",doPF,true);
467	+	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);
468	+	stringstream jzbcut2;
469	+	jzbcut2 << "((is_data&&("<<datajzb<<")>150)||(!is_data&&("<<mcjzb<<")>150))";
470	+	make_kin_plot("mll",jzbcut2.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB150",doPF,true);
471	+	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);
472	+	stringstream jzbcut3;
473	+	jzbcut3 << "((is_data&&("<<datajzb<<")>50)||(!is_data&&("<<mcjzb<<")>50))";
474	+	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);
475	+
476	+	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);
482		}
483
484		void make_comp_plot( string var, string xlabel, string filename, float jzbcut, string mcjzb, string datajzb,
#	Line 446 | Line 550 | void region_comparison_plots(string mcjz
550
551
552		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- the arguments changed
553	<	for(int ijzb=0;ijzb<jzb_cuts.size();ijzb++) {
553	>	for(int ijzb=0;ijzb<(int)jzb_cuts.size();ijzb++) {
554		float jzbcut=jzb_cuts[ijzb]; // Comparison plots are done for this JZB cut
555		float mll_low=50;float mll_high=170;
556		if(!PlottingSetup::RestrictToMassPeak) {
#	Line 753 | Line 857 | if you want to start from scratch (witho
857		return return_functions;
858		}
859
860	<	void do_prediction_plot(string jzb, TCanvas *globalcanvas, float sigma, float high, int use_data, bool overlay_signal = false )
860	>	void do_prediction_plot(string jzb, TCanvas *globalcanvas, float sigma, float high, int use_data, bool overlay_signal = false,string subdir="" )
861		{
862	+	// note: sigma is not used ATM
863		switch_overunderflow(true);
864		bool is_data=false;
865		bool use_signal=false;
#	Line 829 | Line 934 | void do_prediction_plot(string jzb, TCan
934
935		TH1F *Bpred = (TH1F*)LcorrJZBeemm->Clone("Bpred");
936		TH1F *JBpred = (TH1F*)JLcorrJZBeemm->Clone("Bpred");
937	+
938	+	TH1F *BpredSys = (TH1F*)LcorrJZBeemm->Clone("Bpredsys");
939	+	ClearHisto(BpredSys);
940	+	write_error(__FUNCTION__,"Implemented systematic error but NOT drawing it yet. Need to still implement drawing, particularly in ratio.");
941	+
942		if(PlottingSetup::RestrictToMassPeak) {
943		Bpred->Add(RcorrJZBem,1.0/3.);
944		Bpred->Add(LcorrJZBem,-1.0/3.);
#	Line 851 | Line 961 | void do_prediction_plot(string jzb, TCan
961		JBpred->Add(JLcorrJZBSBem,-1.0/3.);
962		JBpred->Add(JRcorrJZBSBeemm,1.0/3.);
963		JBpred->Add(JLcorrJZBSBeemm,-1.0/3.);
964	+
965	+	//Systematics:
966	+	AddSquared(BpredSys,LcorrJZBeemm,zjetsestimateuncertONPEAK*zjetsestimateuncertONPEAK);
967	+	AddSquared(BpredSys,RcorrJZBem,emuncertONPEAK*emuncertONPEAK*(1.0/9));
968	+	AddSquared(BpredSys,LcorrJZBem,emuncertONPEAK*emuncertONPEAK*(1.0/9));
969	+	AddSquared(BpredSys,RcorrJZBSBem,emsidebanduncertONPEAK*emsidebanduncertONPEAK*(1.0/9));
970	+	AddSquared(BpredSys,LcorrJZBSBem,emsidebanduncertONPEAK*emsidebanduncertONPEAK*(1.0/9));
971	+	AddSquared(BpredSys,RcorrJZBSBeemm,eemmsidebanduncertONPEAK*eemmsidebanduncertONPEAK*(1.0/9));
972	+	AddSquared(BpredSys,LcorrJZBSBeemm,eemmsidebanduncertONPEAK*eemmsidebanduncertONPEAK*(1.0/9));
973		} else {
974		Bpred->Add(RcorrJZBem,1.0);
975		Bpred->Add(LcorrJZBem,-1.0);
#	Line 860 | Line 979 | void do_prediction_plot(string jzb, TCan
979		//these are for the ratio
980		JBpred->Add(JRcorrJZBem,1.0);
981		JBpred->Add(JLcorrJZBem,-1.0);
982	+
983	+	//Systematics
984	+	AddSquared(BpredSys,LcorrJZBeemm,zjetsestimateuncertOFFPEAK*zjetsestimateuncertOFFPEAK);
985	+	AddSquared(BpredSys,RcorrJZBem,emuncertOFFPEAK*emuncertOFFPEAK);
986	+	AddSquared(BpredSys,LcorrJZBem,emuncertOFFPEAK*emuncertOFFPEAK);
987	+
988		}
989
990	<
990	>	SQRT(BpredSys);
991	>
992
993		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- prediction changed
994		TH1F *Tpred = (TH1F*)RcorrJZBem->Clone("Bpred");
#	Line 907 | Line 1033 | void do_prediction_plot(string jzb, TCan
1033		blankback->Draw();
1034		if(use_data==1)
1035		{
1036	+	//Bpred->SetLineWidth(3); //paper style.overruled.
1037	+	//lm4RcorrJZBeemm->SetLineWidth(3); //paper style.overruled.
1038		analytical_function = do_extended_fit_to_plot(Bpred,Tpred,LcorrJZBeemm,LcorrJZBem,is_data);
1039		kinpad->cd();//necessary because the extended fit function creates its own canvas
1040		RcorrJZBeemm->Draw("e1x0,same");
1041
1042		Bpred->Draw("hist,same");
1043	<	analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1043	>	//analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1044		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1045		lm4RcorrJZBeemm->Draw("hist,same");
1046		legBpred->AddEntry(RcorrJZBeemm,"observed","p");
#	Line 948 | Line 1076 | void do_prediction_plot(string jzb, TCan
1076		Bpred->Draw("hist,same");
1077		//    analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1078		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1079	<	//    TH1F *lm4RcorrJZBeemmC = (TH1F*)lm4RcorrJZBeemm->Clone("lm4RcorrJZBeemmC");
952	<	//    lm4RcorrJZBeemmC->SetLineColor(kOrange+1);
953	<	lm4RcorrJZBeemm->SetLineColor(kOrange+1);
954	<	//    lm4RcorrJZBeemmC->Draw("histo,same");
1079	>	//    lm4RcorrJZBeemm->SetLineColor(kOrange+1);
1080		lm4RcorrJZBeemm->SetLineWidth(2);
1081	+	//lm4RcorrJZBeemm->SetLineWidth(2); // paper style. overruled.
1082		lm4RcorrJZBeemm->Draw("histo,same");
1083		DrawPrelim();
1084		TLegend *speciallegBpred = make_legend("",0.45,0.55);
1085	+	//TLegend *speciallegBpred = make_legend("",0.35,0.55); // paper style. overruled.
1086		speciallegBpred->AddEntry(RcorrJZBeemm,"Data","pl");
1087		speciallegBpred->AddEntry(Bpred,"Total background","l");
1088		speciallegBpred->AddEntry(jzbnegative,"JZB<0 (data)","f");
#	Line 963 | Line 1090 | void do_prediction_plot(string jzb, TCan
1090		//    speciallegBpred->AddEntry(lm4RcorrJZBeemmC,"LM4","l");
1091		speciallegBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1092		speciallegBpred->Draw();
1093	<	save_with_ratio(JRcorrJZBeemm,JBpred,predcomppad,"Bpred_Data_____PredictionComposition",true,use_data!=1,"data/pred");
1093	>	save_with_ratio(JRcorrJZBeemm,JBpred,predcomppad,subdir+"Bpred_Data_____PredictionComposition",true,use_data!=1,"data/pred");
1094
1095		TCanvas *specialcanv = new TCanvas("specialcanv","specialcanv");
1096		THStack kostack = allsamples.DrawStack("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,!is_data, luminosity,use_signal);
#	Line 974 | Line 1101 | void do_prediction_plot(string jzb, TCan
1101		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1102		legBpred->Draw();
1103		DrawPrelim();
1104	<	CompleteSave(specialcanv,"Bpred_Data_____PredictionCompositioninMC");
1104	>	CompleteSave(specialcanv,subdir+"Bpred_Data_____PredictionCompositioninMC");
1105		Bpred->SetLineWidth((int)CurrentBpredLineWidth);
1106
1107		delete speciallegBpred;
#	Line 985 | Line 1112 | void do_prediction_plot(string jzb, TCan
1112		}
1113		if(use_data==0) {
1114		RcorrJZBeemm->Draw("e1x0,same");
1115	+	//Bpred->SetLineWidth(3); // paper style. overruled.
1116		Bpred->Draw("hist,same");
1117		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1118		legBpred->AddEntry(RcorrJZBeemm,"MC true","p");
1119	<	legBpred->AddEntry(Bpred,"MC predicted","l");
1119	>	legBpred->AddEntry(Bpred,"MC predicted","l");
1120		if(versok) legBpred->AddEntry((TObject*)0,"",""); // Just for alignment // causes seg fault on root v5.18
1121		if(versok) legBpred->AddEntry((TObject*)0,"",""); // causes seg fault on root v5.18
1122		if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
#	Line 999 | Line 1127 | void do_prediction_plot(string jzb, TCan
1127		}
1128		if(use_data==2) {
1129		RcorrJZBeemm->Draw("e1x0,same");
1130	+	//Bpred->SetLineWidth(3); // paper style. overruled.
1131		Bpred->Draw("hist,same");
1132		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1133		legBpred->AddEntry(RcorrJZBeemm,"MC true","p");
#	Line 1014 | Line 1143 | void do_prediction_plot(string jzb, TCan
1143		//      CompleteSave(globalcanvas,"Bpred_MCwithS"); // done below in save_with_ratio
1144		}
1145		{
1146	+	//lm4RcorrJZBeemm->SetLineWidth(3); //paper style. overruled.
1147	+	//RcorrJZBeemmNoS->SetLineWidth(3); //paper style. overruled.
1148	+	//lm4RcorrJZBeemm->SetLineStyle(2); //paper style. overruled.
1149	+	//RcorrJZBeemmNoS->SetLineStyle(3); //paper style. overruled.
1150	+	//lm4RcorrJZBeemm->SetLineColor(kOrange+1); //paper style. overruled.
1151	+
1152		RcorrJZBeemmNoS->SetLineStyle(2);
1153		legBpred2->AddEntry(RcorrJZBeemmNoS,"MC B","l");
1154		legBpred2->AddEntry(lm4RcorrJZBeemm,"MC S","l");
#	Line 1033 | Line 1168 | void do_prediction_plot(string jzb, TCan
1168		string ytitle("ratio");
1169		if ( use_data==1 ) ytitle = "data/pred";
1170		//save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,Bpredsaveas,true,use_data!=1,ytitle);
1171	<	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,Bpredsaveas,true,false,ytitle);//not extending the y range anymore up to 4
1171	>	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,subdir+Bpredsaveas,true,false,ytitle);//not extending the y range anymore up to 4
1172
1173
1174		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1175		/// The part below is meaningless for the offpeak analysis (it's a comparison of the different estimates but there is but one estimate!)
1176	<	if(!PlottingSetup::RestrictToMassPeak) return;
1177	<	TH1F *Bpredem = (TH1F*)LcorrJZBeemm->Clone("Bpredem");
1178	<	Bpredem->Add(RcorrJZBem);
1179	<	Bpredem->Add(LcorrJZBem,-1);
1180	<	TH1F *BpredSBem = (TH1F*)LcorrJZBeemm->Clone("BpredSBem");
1181	<	BpredSBem->Add(RcorrJZBSBem);
1182	<	Bpred->Add(LcorrJZBSBem,-1);
1183	<	TH1F *BpredSBeemm = (TH1F*)LcorrJZBeemm->Clone("BpredSBeemm");
1184	<	BpredSBeemm->Add(RcorrJZBSBeemm);
1185	<	BpredSBeemm->Add(LcorrJZBSBeemm,-1.0);
1186	<	globalcanvas->cd();
1187	<	globalcanvas->SetLogy(1);
1188	<
1189	<	RcorrJZBeemm->SetMarkerStyle(20);
1190	<	RcorrJZBeemm->GetXaxis()->SetRangeUser(0,high);
1191	<	blankback->Draw();
1192	<	RcorrJZBeemm->Draw("e1x0,same");
1193	<	RcorrJZBeemm->SetMarkerSize(DataMarkerSize);
1194	<
1195	<	Bpredem->SetLineColor(kRed+1);
1196	<	Bpredem->SetStats(0);
1197	<	Bpredem->Draw("hist,same");
1198	<
1199	<	BpredSBem->SetLineColor(kGreen+2);//TColor::GetColor("#0B6138"));
1200	<	BpredSBem->SetLineStyle(2);
1201	<	BpredSBem->Draw("hist,same");
1202	<
1203	<	BpredSBeemm->SetLineColor(kBlue+1);
1204	<	BpredSBeemm->SetLineStyle(3);
1205	<	BpredSBeemm->Draw("hist,same");
1206	<	RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1207	<
1208	<	TLegend *legBpredc = make_legend("",0.6,0.55);
1209	<	if(use_data==1)
1210	<	{
1211	<	legBpredc->AddEntry(RcorrJZBeemm,"observed","p");
1212	<	legBpredc->AddEntry(Bpredem,"OFZP","l");
1213	<	legBpredc->AddEntry(BpredSBem,"OFSB","l");
1214	<	legBpredc->AddEntry(BpredSBeemm,"SFSB","l");
1215	<	legBpredc->Draw();
1216	<	CompleteSave(globalcanvas,"Bpred_Data_comparison");
1217	<	}
1218	<	if(use_data==0) {
1219	<	legBpredc->AddEntry(RcorrJZBeemm,"MC true","p");
1220	<	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1221	<	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1222	<	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1223	<	legBpredc->Draw();
1224	<	CompleteSave(globalcanvas,"Bpred_MC_comparison");
1225	<	}
1226	<	if(use_data==2) {
1227	<	legBpredc->AddEntry(RcorrJZBeemm,"MC true","p");
1228	<	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1229	<	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1230	<	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1231	<	if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1232	<	legBpredc->Draw();
1233	<	CompleteSave(globalcanvas,"Bpred_MCwithS_comparison");
1176	>	if(PlottingSetup::RestrictToMassPeak) {
1177	>	TH1F *Bpredem = (TH1F*)LcorrJZBeemm->Clone("Bpredem");
1178	>	Bpredem->Add(RcorrJZBem);
1179	>	Bpredem->Add(LcorrJZBem,-1);
1180	>	TH1F *BpredSBem = (TH1F*)LcorrJZBeemm->Clone("BpredSBem");
1181	>	BpredSBem->Add(RcorrJZBSBem);
1182	>	Bpred->Add(LcorrJZBSBem,-1);
1183	>	TH1F *BpredSBeemm = (TH1F*)LcorrJZBeemm->Clone("BpredSBeemm");
1184	>	BpredSBeemm->Add(RcorrJZBSBeemm);
1185	>	BpredSBeemm->Add(LcorrJZBSBeemm,-1.0);
1186	>	globalcanvas->cd();
1187	>	globalcanvas->SetLogy(1);
1188	>
1189	>	RcorrJZBeemm->SetMarkerStyle(20);
1190	>	RcorrJZBeemm->GetXaxis()->SetRangeUser(0,high);
1191	>	blankback->Draw();
1192	>	RcorrJZBeemm->Draw("e1x0,same");
1193	>	RcorrJZBeemm->SetMarkerSize(DataMarkerSize);
1194	>
1195	>	Bpredem->SetLineColor(kRed+1);
1196	>	Bpredem->SetStats(0);
1197	>	Bpredem->Draw("hist,same");
1198	>
1199	>	BpredSBem->SetLineColor(kGreen+2);//TColor::GetColor("#0B6138"));
1200	>	BpredSBem->SetLineStyle(2);
1201	>	BpredSBem->Draw("hist,same");
1202	>
1203	>	BpredSBeemm->SetLineColor(kBlue+1);
1204	>	BpredSBeemm->SetLineStyle(3);
1205	>	BpredSBeemm->Draw("hist,same");
1206	>	RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1207	>
1208	>	TLegend *legBpredc = make_legend("",0.6,0.55);
1209	>	if(use_data==1)
1210	>	{
1211	>	legBpredc->AddEntry(RcorrJZBeemm,"observed","p");
1212	>	legBpredc->AddEntry(Bpredem,"OFZP","l");
1213	>	legBpredc->AddEntry(BpredSBem,"OFSB","l");
1214	>	legBpredc->AddEntry(BpredSBeemm,"SFSB","l");
1215	>	legBpredc->Draw();
1216	>	CompleteSave(globalcanvas,subdir+"Bpred_Data_comparison");
1217	>	}
1218	>	if(use_data==0) {
1219	>	legBpredc->AddEntry(RcorrJZBeemm,"MC true","p");
1220	>	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1221	>	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1222	>	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1223	>	legBpredc->Draw();
1224	>	CompleteSave(globalcanvas,subdir+"Bpred_MC_comparison");
1225	>	}
1226	>	if(use_data==2) {
1227	>	legBpredc->AddEntry(RcorrJZBeemm,"MC true","p");
1228	>	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1229	>	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1230	>	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1231	>	if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1232	>	legBpredc->Draw();
1233	>	CompleteSave(globalcanvas,subdir+"Bpred_MCwithS_comparison");
1234	>	}
1235		}
1236	+
1237		delete RcorrJZBeemm;
1238		delete LcorrJZBeemm;
1239		delete RcorrJZBem;
#	Line 1127 | Line 1264 | void do_prediction_plot(string jzb, TCan
1264		void do_prediction_plots(string mcjzb, string datajzb, float DataSigma, float MCSigma, bool overlay_signal ) {
1265		TCanvas *globalcanvas = new TCanvas("globalcanvas","Prediction Canvas");
1266		do_prediction_plot(datajzb,globalcanvas,DataSigma,jzbHigh ,data,overlay_signal);
1267	<	do_prediction_plot(mcjzb,globalcanvas,MCSigma,jzbHigh ,mc,overlay_signal);
1268	<	do_prediction_plot(mcjzb,globalcanvas,MCSigma,jzbHigh ,mcwithsignal,overlay_signal);
1267	>	if ( !PlottingSetup::Approved ) {
1268	>	do_prediction_plot(mcjzb,globalcanvas,MCSigma,jzbHigh ,mc,overlay_signal);
1269	>	do_prediction_plot(mcjzb,globalcanvas,MCSigma,jzbHigh ,mcwithsignal,overlay_signal);
1270	>	} else {
1271	>	write_info(__FUNCTION__,"You set approved to true, therefore not producing prediction/observation plots for MC with and without signal.");
1272	>	}
1273		}
1274
1275		void do_ratio_plot(int is_data,vector<float> binning, string jzb, TCanvas *can, float high=-9999) {
#	Line 1478 | Line 1619 | void draw_pure_jzb_histo(TCut cut,string
1619		TText *writeline1 = write_cut_on_canvas(write_cut.c_str());
1620		writeline1->SetTextSize(0.035);
1621		writeline1->Draw();
1622	<	save_with_ratio(datahisto,mcstack,jzbpad->cd(),("jzb/"+savename));
1622	>	if(!Contains(savename,"Dibosons")) save_with_ratio(datahisto,mcstack,jzbpad->cd(),("jzb/"+savename));
1623	>	else save_with_ratio(datahisto,mcstack,jzbpad->cd(),savename);
1624		TPad *jzbpad2 = new TPad("jzbpad2","jzbpad2",0,0,1,1);
1625		jzbpad2->cd();
1626		jzbpad2->SetLogy(1);
#	Line 1493 | Line 1635 | void draw_pure_jzb_histo(TCut cut,string
1635		writeline1->SetTextSize(0.035);
1636		writeline1->Draw();
1637		DrawPrelim();
1638	<	save_with_ratio(datahisto,mcstack,jzbpad2->cd(),("jzb/PositiveSideOnly/"+savename+""));
1638	>	if(!Contains(savename,"Dibosons")) save_with_ratio(datahisto,mcstack,jzbpad2->cd(),("jzb/PositiveSideOnly/"+savename+""));
1639	>	else save_with_ratio(datahisto,mcstack,jzbpad2->cd(),(savename+"__PosOnly"));
1640		datahisto->Delete();
1641		mcstack.Delete();
1642		}
#	Line 1501 | Line 1644 | void draw_pure_jzb_histo(TCut cut,string
1644		Double_t GausR(Double_t *x, Double_t *par) {
1645		return gRandom->Gaus(x[0],par[0]);
1646		}
1647	+
1648	+	void produce_stretched_jzb_plots(string mcjzb, string datajzb,vector<float> ratio_binning) {
1649	+	TCanvas *dican = new TCanvas("dican","JZB Plots Canvas");
1650	+	float max=jzbHigh ;
1651	+	float min=-120;
1652	+	int nbins=(int)((max-min)/5.0); // we want 5 GeV/bin
1653	+	int coarserbins=int(nbins/2.0);
1654	+	int rebinnedbins=int(nbins/4.0);
1655
1656	+	vector<float>binning;vector<float>coarse_binning;vector<float>coarsest_binning;
1657	+	for(int i=0;i<=nbins;i++)binning.push_back(min+i*(max-min)/((float)nbins));
1658	+	for(int i=0;i<=coarserbins;i++)coarse_binning.push_back(min+i*(max-min)/((float)coarserbins));
1659	+	for(int i=0;i<=rebinnedbins;i++)coarsest_binning.push_back(min+i*(max-min)/((float)rebinnedbins));
1660	+
1661	+	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_SFZP",dican,binning);
1662	+	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_OFZP",dican,binning);
1663	+	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"Dibosons/ee/jzb_OS_SFZP",dican,binning);
1664	+	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"Dibosons/mm/jzb_OS_SFZP",dican,binning);
1665	+	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"Dibosons/ee/jzb_OS_OFZP",dican,binning);
1666	+	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"Dibosons/mm/jzb_OS_OFZP",dican,binning);
1667	+	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_SFSB",dican,binning);
1668	+	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_OFSB",dican,binning);
1669	+
1670	+	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_SFZP_coarse",dican,coarse_binning);
1671	+	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_OFZP_coarse",dican,coarse_binning);
1672	+	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_SFSB_coarse",dican,coarse_binning);
1673	+	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_OFSB_coarse",dican,coarse_binning);
1674	+
1675	+	delete dican;
1676	+	}
1677	+
1678	+
1679	+	void diboson_plots(string mcjzb, string datajzb,vector<float> ratio_binning) {
1680	+	vector<int> SamplesToBeModified = allsamples.FindSampleBySampleName("WW/WZ/ZZ");
1681	+
1682	+	if(SamplesToBeModified.size()==0 || SamplesToBeModified[0]==-1) {
1683	+	write_error(__FUNCTION__,"Could not find any diboson samples - aborting diboson plots");
1684	+	return;
1685	+	}
1686	+
1687	+	float stretchfactor = 100.0;
1688	+	vector<string> labels;
1689	+
1690	+
1691	+	dout << "Going to increase the cross section for diboson samples ... " << endl;
1692	+	for(int i=0;i<(int)SamplesToBeModified.size();i++) {
1693	+	float origxs=(allsamples.collection)[SamplesToBeModified[i]].xs;
1694	+	(allsamples.collection)[SamplesToBeModified[i]].xs=origxs*stretchfactor;
1695	+	dout << "     Increased xs for sample " << (allsamples.collection)[SamplesToBeModified[i]].filename << " from " << origxs << " to " << (allsamples.collection)[SamplesToBeModified[i]].xs << " (by a factor of " << stretchfactor << ")" << endl;
1696	+	labels.push_back((allsamples.collection)[SamplesToBeModified[i]].samplename);
1697	+	(allsamples.collection)[SamplesToBeModified[i]].samplename=any2string(int(stretchfactor))+" x "+(allsamples.collection)[SamplesToBeModified[i]].samplename;
1698	+	dout << "         (also renamed it to " << (allsamples.collection)[SamplesToBeModified[i]].samplename << " )" << endl;
1699	+	}
1700	+
1701	+	dout << "Going to produce JZB plots" << endl;
1702	+	produce_stretched_jzb_plots(mcjzb,datajzb,ratio_binning);
1703	+	TCanvas *gloca = new TCanvas("gloca","gloca");
1704	+	float sigma=123456;
1705	+
1706	+	dout << "Going to produce prediction plots" << endl;
1707	+	do_prediction_plot(mcjzb, gloca, sigma, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do only MC plots, no signal
1708	+	do_prediction_plot(mcjzb, gloca, sigma, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do MC plots with signal
1709	+	delete gloca;
1710	+
1711	+	dout << "Going to reset the cross section for diboson samples ... " << endl;
1712	+	for(int i=0;i<(int)SamplesToBeModified.size();i++) {
1713	+	float Upxs=(allsamples.collection)[SamplesToBeModified[i]].xs;
1714	+	(allsamples.collection)[SamplesToBeModified[i]].xs=(allsamples.collection)[SamplesToBeModified[i]].xs*(1.0/stretchfactor);
1715	+	string Upname=(allsamples.collection)[SamplesToBeModified[i]].samplename;
1716	+	(allsamples.collection)[SamplesToBeModified[i]].samplename=labels[i];
1717	+	dout << "     Reset xs for sample " << (allsamples.collection)[SamplesToBeModified[i]].samplename << " from " << Upxs << " to " << (allsamples.collection)[SamplesToBeModified[i]].xs << " (by a factor of " << stretchfactor << ") and reset the correct name (from " << Upname << ")" << endl;
1718	+
1719	+	}
1720	+
1721	+	}
1722		void jzb_plots(string mcjzb, string datajzb,vector<float> ratio_binning) {
1723		TCanvas *can = new TCanvas("can","JZB Plots Canvas");
1724		float max=jzbHigh ;
#	Line 1515 | Line 1732 | void jzb_plots(string mcjzb, string data
1732		for(int i=0;i<=coarserbins;i++)coarse_binning.push_back(min+i*(max-min)/((float)coarserbins));
1733		for(int i=0;i<=rebinnedbins;i++)coarsest_binning.push_back(min+i*(max-min)/((float)rebinnedbins));
1734
1735	<	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP",can,binning);
1736	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP",can,binning);
1737	<	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_SFZP",can,binning);
1738	<	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_SFZP",can,binning);
1739	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_OFZP",can,binning);
1740	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_OFZP",can,binning);
1741	<	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1742	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB",can,binning);
1743	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB",can,binning);
1735	>	if ( !PlottingSetup::Approved ) {
1736	>	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP",can,binning);
1737	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP",can,binning);
1738	>	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_SFZP",can,binning);
1739	>	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_SFZP",can,binning);
1740	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_OFZP",can,binning);
1741	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_OFZP",can,binning);
1742	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1743	>	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB",can,binning);
1744	>	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB",can,binning);
1745	>	}
1746
1747		draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP_coarse",can,coarse_binning);
1748	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP_coarse",can,coarse_binning);
1749	<	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1750	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB_coarse",can,coarse_binning);
1751	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB_coarse",can,coarse_binning);
1752	<
1753	<	//  draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP_coarsest",can,coarsest_binning);
1754	<	//  draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP_coarsest",can,coarsest_binning);
1536	<	//  flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1537	<	//  if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB_coarsest",can,coarsest_binning);
1538	<	//  if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB_coarsest",can,coarsest_binning);
1748	>	if ( !PlottingSetup::Approved ) {
1749	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP_coarse",can,coarse_binning);
1750	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1751	>	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB_coarse",can,coarse_binning);
1752	>	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB_coarse",can,coarse_binning);
1753	>	}
1754	>	delete can;
1755		}
1756
1757
#	Line 1590 | Line 1806 | void compute_MC_yields(string mcjzb,vect
1806		string posneg[] = {"pos","neg"};
1807		TCut tkRegions[] = {cutOSSF&&cutnJets&&cutmass,cutOSOF&&cutnJets&&cutmass,cutOSSF&&cutnJets&&sidebandcut,cutOSOF&&cutnJets&&sidebandcut};
1808
1809	<	for(int ijzb=0;ijzb<jzb_cuts.size();ijzb++) {
1809	>	for(int ijzb=0;ijzb<(int)jzb_cuts.size();ijzb++) {
1810		TCut jzbMC[]  = { give_jzb_expression(mcjzb,jzb_cuts[ijzb],"pos"), give_jzb_expression(mcjzb,jzb_cuts[ijzb],"neg") };
1811		dout << "_________________________________________________________" << endl;
1812		dout << "Table for JZB> " << jzb_cuts[ijzb] << endl;
1813	<	for(int isample=0;isample<(allsamples.collection).size();isample++) {
1813	>	for(int isample=0;isample<(int)(allsamples.collection).size();isample++) {
1814		if(!(allsamples.collection)[isample].is_data) dout << (allsamples.collection)[isample].samplename << "  &  ";
1815		else dout << "Sample & ";
1816		for(int iregion=0;iregion<nRegions;iregion++) {
#	Line 1853 | Line 2069 | void draw_ttbar_and_zjets_shape_for_one_
2069
2070		void draw_ttbar_and_zjets_shape(string mcjzb, string datajzb) {
2071		int all_leptons=-1;
1856	–	int electrons_only=0;
1857	–	int mu_only=1;
1858	–	int twojetswith50gev=1;
2072		int threejetswith30gev=0;
2073		/*
2074	+	int twojetswith50gev=1;
2075	+	int electrons_only=0;
2076	+	int mu_only=1;
2077	+
2078		draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,all_leptons,twojetswith50gev);
2079		draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,all_leptons,threejetswith30gev);
2080
#	Line 1876 | Line 2093 | void find_correction_factors(string &jzb
2093		TCanvas *cancorr = new TCanvas("cancorr","Canvas for Response Correction");
2094		cancorr->SetLogz();
2095		cancorr->SetRightMargin(0.13);
2096	<	flag_this_change(__FUNCTION__,__LINE__,false);//PlottingSetup::RestrictToMassPeak
2096	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
2097		TCut zptforresponsepresentation("pt<600"&&cutmass&&cutOSSF&&"((sumJetPt[1]/pt)<5.0)");
2098	+	if(PlottingSetup::DoBTag) zptforresponsepresentation=zptforresponsepresentation&&PlottingSetup::bTagRequirement;
2099		TH2F *niceresponseplotd = new TH2F("niceresponseplotd","",100,0,600,100,0,5);
2100		(allsamples.collection)[allsamples.FindSample("Data")[0]].events->Draw("sumJetPt[1]/pt:pt>>niceresponseplotd",zptforresponsepresentation);
2101		niceresponseplotd->SetStats(0);
#	Line 1888 | Line 2106 | void find_correction_factors(string &jzb
2106		niceresponseplotd->Draw("COLZ");
2107		TProfile * profd = (TProfile*)niceresponseplotd->ProfileX();
2108		profd->SetMarkerSize(DataMarkerSize);
2109	<	profd->Fit("pol0","","same,e1",30,400);
2109	>	profd->Fit("pol0","","same,e1",100,400);
2110		DrawPrelim();
2111		TText* title = write_text(0.5,0.7,"Data");
2112		title->SetTextAlign(12);
#	Line 1904 | Line 2122 | void find_correction_factors(string &jzb
2122		CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_Data");
2123
2124		TH2F *niceresponseplotm = new TH2F("niceresponseplotm","",100,0,600,100,0,5);
2125	<	(allsamples.collection)[allsamples.FindSample("DY")[0]].events->Draw("sumJetPt[1]/pt:pt>>niceresponseplotm",zptforresponsepresentation);
2125	>	(allsamples.collection)[allsamples.FindSample("DY")[0]].events->Draw("sumJetPt[1]/pt:pt>>niceresponseplotm",zptforresponsepresentation*cutWeight);
2126		niceresponseplotm->SetStats(0);
2127		niceresponseplotm->GetXaxis()->SetTitle("Z p_{T} [GeV]");
2128		niceresponseplotm->GetYaxis()->SetTitle("Response");
#	Line 1914 | Line 2132 | void find_correction_factors(string &jzb
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",30,400);
2135	>	profm->Fit("pol0","","same,e1",100,400);
2136		DrawMCPrelim();
2137		title = write_text(0.5,0.7,"MC simulation");
2138		title->SetTextAlign(12);
#	Line 1950 | Line 2168 | void pick_up_events(string cut) {
2168		allsamples.PickUpEvents(cut);
2169		}
2170
2171	<	void save_template(string mcjzb, string datajzb,vector<float> jzb_cuts,float MCPeakError) {
2171	>	void save_template(string mcjzb, string datajzb,vector<float> jzb_cuts,float MCPeakError,float DataPeakError, vector<float> jzb_shape_limit_bins) {
2172		dout << "Saving configuration template!" << endl;
2173		ofstream configfile;
2174		configfile.open("../DistributedModelCalculations/last_configuration.C");
#	Line 1970 | Line 2188 | void save_template(string mcjzb, string
2188		configfile<<"string datajzb=\"datajzb_ERROR\";\n";
2189		configfile<<"string mcjzb=\"mcjzb_ERROR\";\n";
2190		configfile<<"vector<float>jzb_cuts;\n";
2191	+	configfile<<"vector<float>jzb_shape_limit_bins;\n";
2192		configfile<<"float MCPeakError=-999;\n";
2193	+	configfile<<"float DataPeakError=-999;\n";
2194		configfile<<"}\n\n";
2195
2196		configfile<<"void read_config() {\n";
2197		configfile<<"datajzb=\""<<datajzb<<"\";\n";
2198		configfile<<"mcjzb=\""<<mcjzb<<"\";\n\n";
2199	<	configfile<<"\n\nMCPeakError="<<MCPeakError<<";\n\n";
2200	<	for(int i=0;i<jzb_cuts.size();i++) configfile<<"jzb_cuts.push_back("<<jzb_cuts[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2199	>	configfile<<"\n\nMCPeakError="<<MCPeakError<<";\n";
2200	>	configfile<<"DataPeakError="<<DataPeakError<<";\n\n";
2201	>	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";
2202		configfile<<"\n\n";
2203	<	for(int i=0;i<Nobs.size();i++) configfile<<"Nobs.push_back("<<Nobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2204	<	for(int i=0;i<Npred.size();i++) configfile<<"Npred.push_back("<<Npred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2205	<	for(int i=0;i<Nprederr.size();i++) configfile<<"Nprederr.push_back("<<Nprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2203	>	for(int i=0;i<(int)Nobs.size();i++) configfile<<"Nobs.push_back("<<Nobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2204	>	for(int i=0;i<(int)Npred.size();i++) configfile<<"Npred.push_back("<<Npred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2205	>	for(int i=0;i<(int)Nprederr.size();i++) configfile<<"Nprederr.push_back("<<Nprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2206	>	configfile<<"\n\n";
2207	>	for(int i=0;i<(int)flippedNobs.size();i++) configfile<<"flippedNobs.push_back("<<flippedNobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2208	>	for(int i=0;i<(int)flippedNpred.size();i++) configfile<<"flippedNpred.push_back("<<flippedNpred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2209	>	for(int i=0;i<(int)flippedNprederr.size();i++) configfile<<"flippedNprederr.push_back("<<flippedNprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2210	>	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";
2211		configfile<<"\n\n";
1986	–	for(int i=0;i<flippedNobs.size();i++) configfile<<"flippedNobs.push_back("<<flippedNobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
1987	–	for(int i=0;i<flippedNpred.size();i++) configfile<<"flippedNpred.push_back("<<flippedNpred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
1988	–	for(int i=0;i<flippedNprederr.size();i++) configfile<<"flippedNprederr.push_back("<<flippedNprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2212		configfile<<"\n\n";
2213		configfile<<"luminosity="<<luminosity<<";\n";
2214		configfile<<"RestrictToMassPeak="<<RestrictToMassPeak<<";//defines the type of analysis we're running\n";
#	Line 2011 | Line 2234 | void draw_all_ttbar_histos(TCanvas *can,
2234		float max=histos[0]->GetMaximum();
2235		if(manualmin>=0) min=manualmin;
2236		else {
2237	<	for(int i=1;i<histos.size();i++) {
2237	>	for(int i=1;i<(int)histos.size();i++) {
2238		float curmin=get_nonzero_minimum(histos[i]);
2239		float curmax=histos[i]->GetMaximum();
2240		if(curmin<min) min=curmin;
#	Line 2022 | Line 2245 | void draw_all_ttbar_histos(TCanvas *can,
2245		histos[0]->Draw(drawoption.c_str());
2246		stringstream drawopt;
2247		drawopt << drawoption << ",same";
2248	<	for(int i=1;i<histos.size();i++) {
2248	>	for(int i=1;i<(int)histos.size();i++) {
2249		histos[i]->Draw(drawopt.str().c_str());
2250		}
2251		}
#	Line 2031 | Line 2254 | void ttbar_sidebands_comparison(string m
2254		//in the case of the on peak analysis, we compare the 3 control regions to the real value
2255		//in the case of the OFF peak analysis, we compare our control region to the real value
2256		TCut weightbackup=cutWeight;
2257	<	cutWeight="1.0";
2257	>	//  cutWeight="1.0";
2258		float simulatedlumi = luminosity; //in pb please - adjust to your likings
2259
2260
#	Line 2089 | Line 2312 | void ttbar_sidebands_comparison(string m
2312		leg->Draw("same");
2313		DrawMCPrelim(simulatedlumi);
2314		CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_shape_comparison");
2092	–
2315		TH1F *TZemcopy = (TH1F*)TZem->Clone("TZemcopy");
2316		TH1F *TZeemmcopy = (TH1F*)TZeemm->Clone("TZeemmcopy");
2317	<	TH1F *TSeemmcopy = (TH1F*)TSeemm->Clone("TSeemmcopy");
2318	<	TH1F *TSemcopy = (TH1F*)TSem->Clone("TSemcopy");
2317	>	TH1F *TSeemmcopy;
2318	>	TH1F *TSemcopy;
2319	>	if(PlottingSetup::RestrictToMassPeak) {
2320	>	TSeemmcopy = (TH1F*)TSeemm->Clone("TSeemmcopy");
2321	>	TSemcopy = (TH1F*)TSem->Clone("TSemcopy");
2322	>	}
2323
2324		TZem->Divide(TZeemm);
2325		TZem->SetMarkerStyle(21);
#	Line 2115 | Line 2341 | void ttbar_sidebands_comparison(string m
2341
2342		float linepos=0.25;
2343		if(PlottingSetup::RestrictToMassPeak) linepos=0.25;
2344	+	if(!PlottingSetup::RestrictToMassPeak) linepos=0.1; //sys uncertainty for iJZB
2345		TLine *top = new TLine(binning[0],1.0+linepos,binning[binning.size()-1],1.0+linepos);
2346		TLine *center = new TLine(binning[0],1.0,binning[binning.size()-1],1.0);
2347		TLine *bottom = new TLine(binning[0],1.0-linepos,binning[binning.size()-1],1.0-linepos);
2348
2349	+	/*write_warning(__FUNCTION__,"These two lines are to be removed!");
2350	+	TLine *topalt = new TLine(binning[0],1.0+0.1,binning[binning.size()-1],1.0+0.1);
2351	+	TLine *bottomalt = new TLine(binning[0],1.0-0.1,binning[binning.size()-1],1.0-0.1);
2352	+	topalt->SetLineColor(kRed);topalt->SetLineStyle(3);
2353	+	bottomalt->SetLineColor(kRed);bottomalt->SetLineStyle(3);
2354	+	topalt->Draw("same");bottomalt->Draw("same");*/
2355	+
2356	+
2357		top->SetLineColor(kBlue);top->SetLineStyle(2);
2358		bottom->SetLineColor(kBlue);bottom->SetLineStyle(2);
2359		center->SetLineColor(kBlue);
#	Line 2143 | Line 2378 | void ttbar_sidebands_comparison(string m
2378		CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_shape_comparison_ratio");
2379
2380
2146	–
2381		///-------------- second part: only look at the quantity we actually care about!
2382		TH1F *leftsfzp  = (TH1F*)nTZeemm->Clone("leftsfzp");
2383		TH1F *rightsfzp = (TH1F*)TZeemmcopy->Clone("rightsfzp");
#	Line 2270 | Line 2504 | void ttbar_sidebands_comparison(string m
2504		}
2505
2506
2507	<	void zjets_prediction_comparison() {
2507	>	void zjets_prediction_comparison(string mcjzbWithPU) {
2508	>	TCanvas *zcan = new TCanvas("zcan","zcan");
2509	>	zcan->SetLogy(1);
2510	>	TCut weightbackup=cutWeight;
2511	>
2512	>	/*
2513		// Do it without PU re-weighting
2514		float MCPeakNoPU=0,MCPeakErrorNoPU=0,DataPeakNoPU=0,DataPeakErrorNoPU=0,MCSigma=0,DataSigma=0;
2515		stringstream resultsNoPU;
2516
2517		stringstream mcjzbnoPU;
2518	<	find_peaks(MCPeakNoPU,MCPeakErrorNoPU, DataPeakNoPU, DataPeakErrorNoPU,MCSigma,DataSigma,resultsNoPU,false);
2518	>	find_peaks(MCPeakNoPU,MCPeakErrorNoPU, DataPeakNoPU, DataPeakErrorNoPU,MCSigma,DataSigma,resultsNoPU,true);
2519		if(MCPeakNoPU>0) mcjzbnoPU<<"("<<jzbvariablemc<<"-"<<TMath::Abs(MCPeakNoPU)<<")";
2520		else mcjzbnoPU<<"("<<jzbvariablemc<<"+"<<TMath::Abs(MCPeakNoPU)<<")";
2521
2522		string mcjzb = mcjzbnoPU.str();
2523		dout << "The peak corrected JZB expression for MC without pileup is : " <<  mcjzb << endl;
2524
2286	–	TCut weightbackup=cutWeight;
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;
#	Line 2294 | Line 2534 | void zjets_prediction_comparison() {
2534		TCut kNeg((mcjzb+"<0").c_str());
2535		string var( "abs("+mcjzb+")" );
2536
2537	<	TCut kcut(cutmass&&cutOSSF&&"pfJetGoodNum>2");
2538	<	TH1F *hJZBpos = systsamples.Draw("hJZBpos",var,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",
2539	<	kcut&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
2300	<	TH1F *hJZBneg = systsamples.Draw("hJZBneg",var,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",
2301	<	kcut&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
2537	>	TCut kcut(cutmass&&cutOSSF&&cutnJets);
2538	>	TH1F *hJZBpos = systsamples.Draw("hJZBpos",var,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",kcut&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
2539	>	TH1F *hJZBneg = systsamples.Draw("hJZBneg",var,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",kcut&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
2540		hJZBpos->SetLineColor(kBlack);
2541		hJZBneg->SetLineColor(kRed);
2542
2305	–	Int_t nbins = 5;
2306	–	Float_t xmax = 100.;
2307	–
2308	–
2309	–	TCanvas *zcan = new TCanvas("zcan","zcan");
2310	–	zcan->SetLogy(1);
2543
2544		hJZBpos->Draw("e1");
2545		hJZBneg->Draw("same,hist");
#	Line 2390 | Line 2622 | void make_table(samplecollection &coll,
2622
2623		TCanvas *cannie = new TCanvas("cannie","cannie");
2624
2625	<	for(int icut=0;icut<jzb_cuts.size();icut++) {
2625	>	for(int icut=0;icut<(int)jzb_cuts.size();icut++) {
2626		float currcut=jzb_cuts[icut];
2627		int nbins=1;float low=currcut;
2628		vector<int> mysample;
#	Line 2449 | Line 2681 | void make_table(samplecollection &coll,
2681		//prediction part
2682		if(is_data) cout << "Data prediction & ";
2683		if(subselection!="none") cout << subselection << " prediction &";
2684	<	for(int ij=0;ij<jzb_cuts.size();ij++) cout << jzbcutprediction[ij] << " vs " << metcutprediction[ij] << " & ";
2684	>	for(int ij=0;ij<(int)jzb_cuts.size();ij++) cout << jzbcutprediction[ij] << " vs " << metcutprediction[ij] << " & ";
2685
2686		cout << endl;
2687		//observation part
2688		if(is_data) cout << "Data observation & ";
2689		if(subselection!="none") cout << subselection << " observation &";
2690	<	for(int ij=0;ij<jzb_cuts.size();ij++) cout << jzbcutobservation[ij] << " vs " << metcutobservation[ij] << " & ";
2690	>	for(int ij=0;ij<(int)jzb_cuts.size();ij++) cout << jzbcutobservation[ij] << " vs " << metcutobservation[ij] << " & ";
2691		cout << endl;
2692		cout << "_________________________________________________________________" << endl;
2693		delete cannie;
#	Line 2490 | Line 2722 | void JZBSelEff(string mcjzb, TTree* even
2722		int nbins = sizeof(xbins)/sizeof(float)-1;
2723		int markers[] = { 20, 26, 21, 24, 22, 25, 28 };
2724
2725	<	TH1F* heff  = new TH1F("heff", "JZB eff ; generator-level JZB [GeV]; efficiency",nbins,xbins);
2726	<	TH1F* hgen  = new TH1F("hgen", "JZB gen ; generator-level JZB [GeV]; efficiency",nbins,xbins);
2727	<	TH1F* hreco = new TH1F("hreco","JZB reco ; generator-level JZB [GeV]; efficiency",nbins,xbins);
2725	>
2726	>	TH1F* heff  = new TH1F("heff", "JZB eff ; generator JZB [GeV]; efficiency",nbins,xbins);
2727	>	TH1F* hgen  = new TH1F("hgen", "JZB gen ; generator JZB [GeV]; efficiency",nbins,xbins);
2728	>	TH1F* hreco = new TH1F("hreco","JZB reco ; generator JZB [GeV]; efficiency",nbins,xbins);
2729
2730		TCut kgen(genMassCut&&"genZPt>0&&genNjets>2&&abs(genMID)==23"&&cutOSSF);
2731		TCut kreco(cutmass);
#	Line 2508 | Line 2741 | void JZBSelEff(string mcjzb, TTree* even
2741		TCanvas *can = new TCanvas("can","Canvas for JZB Efficiency",600,600);
2742		can->SetGridx(1);
2743		can->SetGridy(1);
2744	+	can->SetLeftMargin(0.16);
2745	+	can->SetRightMargin(0.05);
2746		TLegend *leg = make_legend("",0.6,0.2,false,0.89,0.5);
2747	+	leg->SetBorderSize(1);
2748	+	leg->SetLineColor(kBlack);
2749	+	leg->SetTextFont(62);
2750
2751	<
2514	<
2515	<	for ( int icut=0; icut<jzb_bins.size(); ++icut ) {
2751	>	for ( int icut=0; icut<(int)jzb_bins.size(); ++icut ) {
2752
2753		ostringstream selection;
2754		selection << mcjzb << ">" << jzb_bins[icut];
#	Line 2528 | Line 2764 | void JZBSelEff(string mcjzb, TTree* even
2764		}
2765
2766		heff->GetXaxis()->SetRangeUser(min, max);
2767	+	//    heff->GetXaxis()->SetLabelSize(0.05); // paper style. overruled.
2768	+	//    heff->GetYaxis()->SetLabelSize(0.05); // paper style. overruled.
2769	+	//    heff->GetXaxis()->SetTitleSize(0.06); // paper style. overruled.
2770	+	//    heff->GetYaxis()->SetTitleSize(0.06); // paper style. overruled.
2771		heff->SetMarkerStyle(markers[icut]);
2772		heff->Fit("func","Q+","same");
2773
#	Line 2539 | Line 2779 | void JZBSelEff(string mcjzb, TTree* even
2779
2780		// Store plot
2781		TH1F* h = (TH1F*)heff->Clone(hname);
2782	+	h->SetNdivisions(505,"X");
2783		if ( icut) h->Draw("same");
2784		else h->Draw();
2785		char htitle[256]; sprintf(htitle,"JZB > %3.0f GeV", jzb_bins[icut]);
#	Line 2559 | Line 2800 | void JZBSelEff(string mcjzb, TTree* even
2800		// Calls the above function for each signal sample
2801		void plot_jzb_sel_eff(string mcjzb, samplecollection &signalsamples, vector<float> bins )
2802		{
2803	<	for (int isignal=0; isignal<signalsamples.collection.size();isignal++) {
2803	>	for (int isignal=0; isignal<(int)signalsamples.collection.size();isignal++) {
2804		dout << "JZB selection efficiency curve: " << std::endl;
2805		JZBSelEff(mcjzb,(signalsamples.collection)[isignal].events,(signalsamples.collection)[isignal].samplename,bins); // Only for some selected samples
2806		}
#	Line 2602 | Line 2843 | void qcd_plots(string datajzb, string mc
2843		TH1F *RcorrJZBSBeemm;
2844		TH1F *LcorrJZBSBeemm;
2845
2846	<	TH1F *RcorrJZBeemmNoS;
2846	>	//  TH1F *RcorrJZBeemmNoS;
2847
2848		//these are for the ratio
2849		TH1F *JRcorrJZBeemm   = qcdsamples.Draw("JRcorrJZBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
#	Line 2733 | Line 2974 | void qcd_plots(string datajzb, string mc
2974		dout << "    Observation increases by : " << RcorrJZBeemm->Integral() << endl;
2975
2976		dout << endl;
2977	<	for(int i=0;i<bins.size();i++) {
2977	>	for(int i=0;i<(int)bins.size();i++) {
2978		dout << " JZB > " << bins[i] << " : " << endl;
2979		dout << "    Observation increases by : " << RcorrJZBeemm->Integral(RcorrJZBeemm->FindBin(bins[i]),RcorrJZBeemm->GetNbinsX()) << endl;
2980		if(PlottingSetup::RestrictToMassPeak) {
#	Line 2781 | Line 3022 | void check_ptsanity() {
3022		leg->SetY2(1.0);
3023
3024
3025	<	for(int isample=0;isample<allsamples.collection.size();isample++) {
3025	>	for(int isample=0;isample<(int)allsamples.collection.size();isample++) {
3026		string nowname=(allsamples.collection)[isample].filename;
3027		cout << "Drawing: " << nowname << " (sample " << isample+1 << " / " << allsamples.collection.size() << ")" << endl;
3028		individualpt1histos[isample] = allsamples.Draw(GetNumericHistoName(),"pt1",50,0,50, "p_{T,1}", "events",cutOSSF&&cutnJets,mc,luminosity,allsamples.FindSample(nowname));
#	Line 2805 | Line 3046 | void check_ptsanity() {
3046		ptsancan->cd(2);
3047		fpt2->Draw();
3048
3049	<	for(int isample=0;isample<allsamples.collection.size();isample++) {
3049	>	for(int isample=0;isample<(int)allsamples.collection.size();isample++) {
3050		ptsancan->cd(1);
3051		individualpt1histos[isample]->DrawNormalized("same,histo");
3052		ptsancan->cd(2);
#	Line 2821 | Line 3062 | void check_ptsanity() {
3062		void do_mlls_plot(string mcjzb) {
3063		cout << "At this point we'd plot the mll distribution" << endl;
3064		TCanvas *sigcan = new TCanvas("sigcan","sigcan");
3065	<	for(int isig=0;isig<(signalsamples.collection).size();isig++) {
3065	>	for(int isig=0;isig<(int)(signalsamples.collection).size();isig++) {
3066		if(!(signalsamples.collection)[isig].events) continue;
3067		string nowname=(signalsamples.collection)[isig].filename;
3068		TH1F *mll = signalsamples.Draw("mllhisto","mll",150,0,150, "m_{ll}", "events",cutOSSF&&cutnJets,mc,luminosity,signalsamples.FindSample(nowname));
#	Line 2860 | Line 3101 | void met_vs_jzb_plots() {
3101		findme.push_back("TTJets");
3102		findme.push_back("LM");
3103
3104	<	for(int ifind=0;ifind<findme.size();ifind++) {
3104	>	for(int ifind=0;ifind<(int)findme.size();ifind++) {
3105		vector<int> selsamples = allsamples.FindSample(findme[ifind]);
3106		TH2F *metvsjzb = new TH2F("metvsjzb","metvsjzb",200,0,100,400,-100,100);
3107	<	for(int isel=0;isel<selsamples.size();isel++) {
3107	>	for(int isel=0;isel<(int)selsamples.size();isel++) {
3108		cout << "Producing MET:JZB plot ... working on sample: " << allsamples.collection[selsamples[isel]].filename << endl;
3109		allsamples.collection[selsamples[isel]].events->Draw("jzb[1]:met[4]>>+metvsjzb",cutmass&&cutOSSF);
3110		}

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