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Comparing UserCode/cbrown/Development/Plotting/Modules/Plotting_Functions.C (file contents):
Revision 1.4 by buchmann, Fri Mar 2 08:37:03 2012 UTC vs.
Revision 1.16 by buchmann, Mon Apr 30 08:38:11 2012 UTC

#	Line 23 | Line 23 | using namespace PlottingSetup;
23		void todo() {
24		dout << "My to do list: " << endl;
25		dout << "  - ExperimentalModule::Poisson_ratio_plot : Get the second part to work!" << endl;
26	+	dout << "  - compare_onpeak_offpeak_signal_distributions: Implement this function ... " << endl;
27		dout << "Info : The trigger requirement is currently set to " << (const char*) passtrig << endl;
28		dout << "Info : The pt requirement is currently set to " << (const char*) passtrig << endl;
29		dout << "Info : The mll requirement is currently set to " << (const char*) cutmass << endl;
#	Line 71 | 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 105 | 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 124 | 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 196 | Line 280 | void make_kin_plot(string variable, stri
280		draw_separation_lines=true;
281		}
282		if(filename=="mll_mm") cut=cutOSSF&&cutnJets&&ibasiccut&&"id1==1";
283	<	if(filename=="mll_aboveJZB100") cut=cutOSSF&&cutnJets&&ibasiccut;
283	>	if(Contains(filename,"mll_aboveJZB100")) cut=cutOSSF&&cutnJets&&ibasiccut;
284	>	if(Contains(filename,"mll_osof_aboveJZB")) cut=cutOSOF&&cutnJets&&ibasiccut;
285		if(filename=="mll_inclusive"||filename=="mll_inclusive_highrange") cut=cutOSSF;
286		if(filename=="mll_inclusive_osof") cut=cutOSOF;
287		if(filename=="mll_inclusive_ee") cut=cutOSSF&&"id1==0";
#	Line 294 | Line 379 | void make_kin_plot(string variable, stri
379		delete ckin;
380		}
381
297	–
382		void make_JES_plot() {
383
384		int nbins=10;
#	Line 349 | Line 433 | void do_kinematic_plots(string mcjzb, st
433		float mll_low=40;
434		float mll_hi=160;
435		if(!PlottingSetup::RestrictToMassPeak) {
436	<	mll_low=30;
437	<	mll_hi=180;
436	>	mll_low=10;
437	>	mll_hi=210;
438		}
439	+
440		make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll",doPF,true);
441		make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_osof",doPF,true,true);
442		make_kin_plot("mll","",(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_ee",doPF,true);
#	Line 361 | Line 446 | void do_kinematic_plots(string mcjzb, st
446		make_kin_plot("mll","",(int)((mll_hi-mll_low)),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_inclusive_mm",doPF,true);
447		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)((350-mll_low)),mll_low,350,dolog,"m_{ll} [GeV]","mll_inclusive_highrange",doPF);
449	+	make_kin_plot("numVtx","",(int)(30.5-(-0.5)),-0.5,30.5,nolog,"N(Vtx)","numVtx",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);
452		make_kin_plot("pt","",50,0,400,dolog,"Z p_{T} [GeV]","Zpt",doPF);
#	Line 374 | Line 460 | void do_kinematic_plots(string mcjzb, st
460		stringstream jzbcut;
461		jzbcut << "((is_data&&("<<datajzb<<")>100)||(!is_data&&("<<mcjzb<<")>100))";
462		make_kin_plot("mll",jzbcut.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB100",doPF,true);
463	+	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);
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	+	stringstream jzbcut2;
467	+	jzbcut2 << "((is_data&&("<<datajzb<<")>150)||(!is_data&&("<<mcjzb<<")>150))";
468	+	make_kin_plot("mll",jzbcut2.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB150",doPF,true);
469	+	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);
470	+	stringstream jzbcut3;
471	+	jzbcut3 << "((is_data&&("<<datajzb<<")>50)||(!is_data&&("<<mcjzb<<")>50))";
472	+	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);
473	+
474	+	make_special_obs_pred_mll_plot(mcjzb,0);
475	+	make_special_obs_pred_mll_plot(mcjzb,50);
476	+	make_special_obs_pred_mll_plot(mcjzb,100);
477	+	make_special_obs_pred_mll_plot(mcjzb,150);
478	+	make_special_obs_pred_mll_plot(mcjzb,200);
479	+	make_special_obs_pred_mll_plot(mcjzb,250);
480		}
481
482		void make_comp_plot( string var, string xlabel, string filename, float jzbcut, string mcjzb, string datajzb,
#	Line 445 | Line 548 | void region_comparison_plots(string mcjz
548
549
550		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- the arguments changed
551	<	for(int ijzb=0;ijzb<jzb_cuts.size();ijzb++) {
551	>	for(int ijzb=0;ijzb<(int)jzb_cuts.size();ijzb++) {
552		float jzbcut=jzb_cuts[ijzb]; // Comparison plots are done for this JZB cut
553		float mll_low=50;float mll_high=170;
554		if(!PlottingSetup::RestrictToMassPeak) {
#	Line 483 | Line 586 | void signal_bg_comparison()
586		float simulatedlumi=luminosity;//in pb please - adjust to your likings
587
588		TH1F *JZBplotZJETs = allsamples.Draw("JZBplotZJETs",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("/DY"));
589	<	TH1F *JZBplotLM4 = allsamples.Draw("JZBplotLM4",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("LM4"));
589	>	TH1F *JZBplotLM4;
590	>	if(PlottingSetup::RestrictToMassPeak) JZBplotLM4 = allsamples.Draw("JZBplotLM4",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("LM4"));
591	>	else JZBplotLM4 = allsamples.Draw("JZBplotLM4",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("LM3"));
592		TH1F *JZBplotTtbar = allsamples.Draw("JZBplotTtbar",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("TTJets"));
593
594		JZBplotTtbar->SetLineColor(allsamples.GetColor("TTJet"));
#	Line 507 | Line 612 | void signal_bg_comparison()
612		TLegend *signal_bg_comparison_leg2 =  make_legend("",0.55,0.75,false);
613		signal_bg_comparison_leg2->AddEntry(JZBplotZJETs,"Z+Jets","f");
614		signal_bg_comparison_leg2->AddEntry(JZBplotTtbar,"t#bar{t}","f");
615	<	signal_bg_comparison_leg2->AddEntry(JZBplotLM4,"LM4","f");
615	>	if(PlottingSetup::RestrictToMassPeak) signal_bg_comparison_leg2->AddEntry(JZBplotLM4,"LM4","f");
616	>	else signal_bg_comparison_leg2->AddEntry(JZBplotLM4,"LM3","f");
617		signal_bg_comparison_leg2->Draw();
618		DrawMCPrelim(simulatedlumi);
619		CompleteSave(can,"jzb_bg_vs_signal_distribution");
#	Line 749 | Line 855 | if you want to start from scratch (witho
855		return return_functions;
856		}
857
858	<	void do_prediction_plot(string jzb, TCanvas *globalcanvas, float sigma, float high, int use_data, bool overlay_signal = false )
858	>	void do_prediction_plot(string jzb, TCanvas *globalcanvas, float sigma, float high, int use_data, bool overlay_signal = false,string subdir="" )
859		{
860	+	// note: sigma is not used ATM
861	+	switch_overunderflow(true);
862		bool is_data=false;
863		bool use_signal=false;
864		if(use_data==1) is_data=true;
#	Line 759 | Line 867 | void do_prediction_plot(string jzb, TCan
867		if(is_data) nbins=50;
868		float low=0;
869		float hi=500;
870	+
871	+	stringstream largerzeroS;
872	+	largerzeroS << "("<<jzb<<">0)";
873	+	TCut largerzero(largerzeroS.str().c_str());
874	+	stringstream smallerzeroS;
875	+	smallerzeroS << "("<<jzb<<"<0)";
876	+	TCut smallerzero(smallerzeroS.str().c_str());
877	+
878		TH1F *blankback = new TH1F("blankback","blankback",int(high/10),0,high);
879	<	TH1F *RcorrJZBeemm   = allsamples.Draw("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
880	<	TH1F *LcorrJZBeemm   = allsamples.Draw("LcorrJZBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
881	<	TH1F *RcorrJZBem     = allsamples.Draw("RcorrJZBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
882	<	TH1F *LcorrJZBem     = allsamples.Draw("LcorrJZBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
879	>	TH1F *RcorrJZBeemm   = allsamples.Draw("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
880	>	TH1F *LcorrJZBeemm   = allsamples.Draw("LcorrJZBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
881	>	TH1F *RcorrJZBem     = allsamples.Draw("RcorrJZBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
882	>	TH1F *LcorrJZBem     = allsamples.Draw("LcorrJZBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
883	>
884		blankback->GetXaxis()->SetTitle(RcorrJZBeemm->GetXaxis()->GetTitle());
885		blankback->GetYaxis()->SetTitle(RcorrJZBeemm->GetYaxis()->GetTitle());
886		blankback->GetXaxis()->CenterTitle();
#	Line 778 | Line 895 | void do_prediction_plot(string jzb, TCan
895		TH1F *RcorrJZBeemmNoS;
896
897		//these are for the ratio
898	<	TH1F *JRcorrJZBeemm   = allsamples.Draw("JRcorrJZBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
899	<	TH1F *JLcorrJZBeemm   = allsamples.Draw("JLcorrJZBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
900	<	TH1F *JRcorrJZBem     = allsamples.Draw("JRcorrJZBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
901	<	TH1F *JLcorrJZBem     = allsamples.Draw("JLcorrJZBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
898	>
899	>	TH1F *JRcorrJZBeemm   = allsamples.Draw("JRcorrJZBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
900	>	TH1F *JLcorrJZBeemm   = allsamples.Draw("JLcorrJZBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
901	>	TH1F *JRcorrJZBem     = allsamples.Draw("JRcorrJZBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
902	>	TH1F *JLcorrJZBem     = allsamples.Draw("JLcorrJZBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
903
904		TH1F *JRcorrJZBSBem;
905		TH1F *JLcorrJZBSBem;
906		TH1F *JRcorrJZBSBeemm;
907		TH1F *JLcorrJZBSBeemm;
908
909	<	if(use_data==2 || overlay_signal) RcorrJZBeemmNoS = allsamples.Draw("RcorrJZBeemmNoS",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,false);
909	>	if(use_data==2 || overlay_signal) RcorrJZBeemmNoS = allsamples.Draw("RcorrJZBeemmNoS",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,false);
910
911
912		if(PlottingSetup::RestrictToMassPeak) {
913	<	RcorrJZBSBem   = allsamples.Draw("RcorrJZBSBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
914	<	LcorrJZBSBem   = allsamples.Draw("LcorrJZBSBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
915	<	RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
916	<	LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
917	<
913	>	RcorrJZBSBem   = allsamples.Draw("RcorrJZBSBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
914	>	LcorrJZBSBem   = allsamples.Draw("LcorrJZBSBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
915	>	RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
916	>	LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
917	>
918		//these are for the ratio
919	<	JRcorrJZBSBem   = allsamples.Draw("JRcorrJZBSBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
920	<	JLcorrJZBSBem   = allsamples.Draw("JLcorrJZBSBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
921	<	JRcorrJZBSBeemm = allsamples.Draw("JRcorrJZBSBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
922	<	JLcorrJZBSBeemm = allsamples.Draw("JLcorrJZBSBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
805	<
919	>	JRcorrJZBSBem   = allsamples.Draw("JRcorrJZBSBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
920	>	JLcorrJZBSBem   = allsamples.Draw("JLcorrJZBSBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
921	>	JRcorrJZBSBeemm = allsamples.Draw("JRcorrJZBSBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
922	>	JLcorrJZBSBeemm = allsamples.Draw("JLcorrJZBSBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
923		}
924
925		TH1F *lm4RcorrJZBeemm;
926	<	if(overlay_signal || use_data == 2 ) lm4RcorrJZBeemm = allsamples.Draw("lm4RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,allsamples.FindSample("LM4"));
926	>	if(overlay_signal || use_data == 2 || use_data == 1) lm4RcorrJZBeemm = allsamples.Draw("lm4RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,allsamples.FindSample("LM"));
927
928		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- prediction changed.
929
#	Line 893 | Line 1010 | void do_prediction_plot(string jzb, TCan
1010		blankback->Draw();
1011		if(use_data==1)
1012		{
1013	+	//Bpred->SetLineWidth(3); //paper style.overruled.
1014	+	//lm4RcorrJZBeemm->SetLineWidth(3); //paper style.overruled.
1015		analytical_function = do_extended_fit_to_plot(Bpred,Tpred,LcorrJZBeemm,LcorrJZBem,is_data);
1016		kinpad->cd();//necessary because the extended fit function creates its own canvas
1017		RcorrJZBeemm->Draw("e1x0,same");
1018
1019		Bpred->Draw("hist,same");
1020	<	analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1020	>	//analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1021		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1022	+	lm4RcorrJZBeemm->Draw("hist,same");
1023		legBpred->AddEntry(RcorrJZBeemm,"observed","p");
1024		legBpred->AddEntry(Bpred,"predicted","l");
1025		legBpred->AddEntry(analytical_function[1],"predicted fit","l");
#	Line 909 | Line 1029 | void do_prediction_plot(string jzb, TCan
1029		DrawPrelim();
1030
1031		//this plot shows what the prediction is composed of
1032	<	TCanvas *specialcanv = new TCanvas("specialcanv","specialcanv");
1033	<	specialcanv->SetLogy(1);
1034	<	Zjetspred->SetFillColor(kYellow);
1035	<	Zjetspred->SetLineColor(kYellow);
1036	<	TTbarpred->SetFillColor(allsamples.GetColor((allsamples.FindSample("TTJets"))[0]));
1037	<	TTbarpred->SetLineColor(allsamples.GetColor((allsamples.FindSample("TTJets"))[0]));
1032	>	TPad *predcomppad = new TPad("predcomppad","predcomppad",0,0,1,1);
1033	>	float CurrentBpredLineWidth=Bpred->GetLineWidth();
1034	>	Bpred->SetLineWidth(2);
1035	>	predcomppad->cd();
1036	>	predcomppad->SetLogy(1);
1037	>
1038	>	TH1F *jzbnegative = (TH1F*)LcorrJZBeemm->Clone("jzbnegative");
1039	>	TH1F *sidebandsemu = (TH1F*)Bpred->Clone("sidebandsemu");
1040	>	sidebandsemu->Add(jzbnegative,-1);
1041	>
1042	>	jzbnegative->SetFillColor(allsamples.GetColor((allsamples.FindSample("DY"))[0]));
1043	>	jzbnegative->SetLineColor(allsamples.GetColor((allsamples.FindSample("DY"))[0]));
1044	>	sidebandsemu->SetLineColor(allsamples.GetColor((allsamples.FindSample("TTJets"))[0]));
1045	>	sidebandsemu->SetFillColor(allsamples.GetColor((allsamples.FindSample("TTJets"))[0]));
1046	>
1047		THStack predcomposition("predcomposition","prediction composition");
1048	<	predcomposition.Add(TTbarpred);
1049	<	predcomposition.Add(Zjetspred);
1048	>	predcomposition.Add(sidebandsemu);
1049	>	predcomposition.Add(jzbnegative);
1050		blankback->Draw();
1051		RcorrJZBeemm->Draw("e1x0,same");
1052		predcomposition.Draw("histo,same");//
1053		Bpred->Draw("hist,same");
1054	<	analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1054	>	//    analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1055		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1056	<	legBpred->Draw();
1056	>	//    lm4RcorrJZBeemm->SetLineColor(kOrange+1);
1057	>	lm4RcorrJZBeemm->SetLineWidth(2);
1058	>	//lm4RcorrJZBeemm->SetLineWidth(2); // paper style. overruled.
1059	>	lm4RcorrJZBeemm->Draw("histo,same");
1060		DrawPrelim();
1061	<	TLegend *specialleg = new TLegend(0.6,0.4,0.89,0.55);
1062	<	specialleg->SetFillColor(kWhite);specialleg->SetLineColor(kWhite);
1063	<	specialleg->AddEntry(Zjetspred,"Z+Jets prediction","f");
1064	<	specialleg->AddEntry(TTbarpred,"t#bar{t} prediction","f");
1065	<	specialleg->Draw("same");
1066	<	CompleteSave(specialcanv,"Bpred_Data_____PredictionComposition");
1067	<
1061	>	TLegend *speciallegBpred = make_legend("",0.45,0.55);
1062	>	//TLegend *speciallegBpred = make_legend("",0.35,0.55); // paper style. overruled.
1063	>	speciallegBpred->AddEntry(RcorrJZBeemm,"Data","pl");
1064	>	speciallegBpred->AddEntry(Bpred,"Total background","l");
1065	>	speciallegBpred->AddEntry(jzbnegative,"JZB<0 (data)","f");
1066	>	speciallegBpred->AddEntry(sidebandsemu,"Sidebands/e#mu (data)","f");
1067	>	//    speciallegBpred->AddEntry(lm4RcorrJZBeemmC,"LM4","l");
1068	>	speciallegBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1069	>	speciallegBpred->Draw();
1070	>	save_with_ratio(JRcorrJZBeemm,JBpred,predcomppad,subdir+"Bpred_Data_____PredictionComposition",true,use_data!=1,"data/pred");
1071	>
1072	>	TCanvas *specialcanv = new TCanvas("specialcanv","specialcanv");
1073		THStack kostack = allsamples.DrawStack("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,!is_data, luminosity,use_signal);
1074		blankback->Draw();
1075		kostack.Draw("same");
#	Line 941 | Line 1078 | void do_prediction_plot(string jzb, TCan
1078		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1079		legBpred->Draw();
1080		DrawPrelim();
1081	<	CompleteSave(specialcanv,"Bpred_Data_____PredictionCompositioninMC");
1081	>	CompleteSave(specialcanv,subdir+"Bpred_Data_____PredictionCompositioninMC");
1082	>	Bpred->SetLineWidth((int)CurrentBpredLineWidth);
1083
1084	<	delete specialcanv;
947	<	delete specialleg;
1084	>	delete speciallegBpred;
1085		delete Zjetspred;
1086		delete TTbarpred;
1087
#	Line 952 | Line 1089 | void do_prediction_plot(string jzb, TCan
1089		}
1090		if(use_data==0) {
1091		RcorrJZBeemm->Draw("e1x0,same");
1092	+	//Bpred->SetLineWidth(3); // paper style. overruled.
1093		Bpred->Draw("hist,same");
1094		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1095	<	legBpred->AddEntry(RcorrJZBeemm,"MC observed","p");
1095	>	legBpred->AddEntry(RcorrJZBeemm,"MC true","p");
1096		legBpred->AddEntry(Bpred,"MC predicted","l");
1097		if(versok) legBpred->AddEntry((TObject*)0,"",""); // Just for alignment // causes seg fault on root v5.18
1098		if(versok) legBpred->AddEntry((TObject*)0,"",""); // causes seg fault on root v5.18
#	Line 966 | Line 1104 | void do_prediction_plot(string jzb, TCan
1104		}
1105		if(use_data==2) {
1106		RcorrJZBeemm->Draw("e1x0,same");
1107	+	//Bpred->SetLineWidth(3); // paper style. overruled.
1108		Bpred->Draw("hist,same");
1109		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1110	<	legBpred->AddEntry(RcorrJZBeemm,"MC observed","p");
1110	>	legBpred->AddEntry(RcorrJZBeemm,"MC true","p");
1111		legBpred->AddEntry(Bpred,"MC predicted","l");
1112	<	legBpred2->AddEntry(RcorrJZBeemm,"MC observed","p");
1112	>	legBpred2->AddEntry(RcorrJZBeemm,"MC true","p");
1113		legBpred2->AddEntry(Bpred,"MC predicted","l");
1114		{
1115		if(versok) legBpred->AddEntry((TObject*)0,"",""); // Just for alignment // causes seg fault on root v5.18 --> now only allowed for root >=v5.30
#	Line 981 | Line 1120 | void do_prediction_plot(string jzb, TCan
1120		//      CompleteSave(globalcanvas,"Bpred_MCwithS"); // done below in save_with_ratio
1121		}
1122		{
1123	+	//lm4RcorrJZBeemm->SetLineWidth(3); //paper style. overruled.
1124	+	//RcorrJZBeemmNoS->SetLineWidth(3); //paper style. overruled.
1125	+	//lm4RcorrJZBeemm->SetLineStyle(2); //paper style. overruled.
1126	+	//RcorrJZBeemmNoS->SetLineStyle(3); //paper style. overruled.
1127	+	//lm4RcorrJZBeemm->SetLineColor(kOrange+1); //paper style. overruled.
1128	+
1129		RcorrJZBeemmNoS->SetLineStyle(2);
1130		legBpred2->AddEntry(RcorrJZBeemmNoS,"MC B","l");
1131		legBpred2->AddEntry(lm4RcorrJZBeemm,"MC S","l");
#	Line 999 | Line 1144 | void do_prediction_plot(string jzb, TCan
1144		//3rd last argument: do special bpred ratio, 2nd last argument: extended range!, last: y-axis title
1145		string ytitle("ratio");
1146		if ( use_data==1 ) ytitle = "data/pred";
1147	<	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,Bpredsaveas,true,use_data!=1,ytitle);
1147	>	//save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,Bpredsaveas,true,use_data!=1,ytitle);
1148	>	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,subdir+Bpredsaveas,true,false,ytitle);//not extending the y range anymore up to 4
1149
1150
1151		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1152		/// The part below is meaningless for the offpeak analysis (it's a comparison of the different estimates but there is but one estimate!)
1153	<	if(!PlottingSetup::RestrictToMassPeak) return;
1154	<	TH1F *Bpredem = (TH1F*)LcorrJZBeemm->Clone("Bpredem");
1155	<	Bpredem->Add(RcorrJZBem);
1156	<	Bpredem->Add(LcorrJZBem,-1);
1157	<	TH1F *BpredSBem = (TH1F*)LcorrJZBeemm->Clone("BpredSBem");
1158	<	BpredSBem->Add(RcorrJZBSBem);
1159	<	Bpred->Add(LcorrJZBSBem,-1);
1160	<	TH1F *BpredSBeemm = (TH1F*)LcorrJZBeemm->Clone("BpredSBeemm");
1161	<	BpredSBeemm->Add(RcorrJZBSBeemm);
1162	<	BpredSBeemm->Add(LcorrJZBSBeemm,-1.0);
1163	<	globalcanvas->cd();
1164	<	globalcanvas->SetLogy(1);
1165	<
1166	<	RcorrJZBeemm->SetMarkerStyle(20);
1167	<	RcorrJZBeemm->GetXaxis()->SetRangeUser(0,high);
1168	<	blankback->Draw();
1169	<	RcorrJZBeemm->Draw("e1x0,same");
1170	<	RcorrJZBeemm->SetMarkerSize(DataMarkerSize);
1171	<
1172	<	Bpredem->SetLineColor(kRed+1);
1173	<	Bpredem->SetStats(0);
1174	<	Bpredem->Draw("hist,same");
1175	<
1176	<	BpredSBem->SetLineColor(kGreen+2);//TColor::GetColor("#0B6138"));
1177	<	BpredSBem->SetLineStyle(2);
1178	<	BpredSBem->Draw("hist,same");
1179	<
1180	<	BpredSBeemm->SetLineColor(kBlue+1);
1181	<	BpredSBeemm->SetLineStyle(3);
1182	<	BpredSBeemm->Draw("hist,same");
1183	<	RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1184	<
1185	<	TLegend *legBpredc = make_legend("",0.6,0.55);
1186	<	if(use_data==1)
1187	<	{
1188	<	legBpredc->AddEntry(RcorrJZBeemm,"observed","p");
1189	<	legBpredc->AddEntry(Bpredem,"OFZP","l");
1190	<	legBpredc->AddEntry(BpredSBem,"OFSB","l");
1191	<	legBpredc->AddEntry(BpredSBeemm,"SFSB","l");
1192	<	legBpredc->Draw();
1193	<	CompleteSave(globalcanvas,"Bpred_Data_comparison");
1194	<	}
1195	<	if(use_data==0) {
1196	<	legBpredc->AddEntry(RcorrJZBeemm,"MC observed","p");
1197	<	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1198	<	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1199	<	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1200	<	legBpredc->Draw();
1201	<	CompleteSave(globalcanvas,"Bpred_MC_comparison");
1202	<	}
1203	<	if(use_data==2) {
1204	<	legBpredc->AddEntry(RcorrJZBeemm,"MC observed","p");
1205	<	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1206	<	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1207	<	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1208	<	if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1209	<	legBpredc->Draw();
1210	<	CompleteSave(globalcanvas,"Bpred_MCwithS_comparison");
1153	>	if(PlottingSetup::RestrictToMassPeak) {
1154	>	TH1F *Bpredem = (TH1F*)LcorrJZBeemm->Clone("Bpredem");
1155	>	Bpredem->Add(RcorrJZBem);
1156	>	Bpredem->Add(LcorrJZBem,-1);
1157	>	TH1F *BpredSBem = (TH1F*)LcorrJZBeemm->Clone("BpredSBem");
1158	>	BpredSBem->Add(RcorrJZBSBem);
1159	>	Bpred->Add(LcorrJZBSBem,-1);
1160	>	TH1F *BpredSBeemm = (TH1F*)LcorrJZBeemm->Clone("BpredSBeemm");
1161	>	BpredSBeemm->Add(RcorrJZBSBeemm);
1162	>	BpredSBeemm->Add(LcorrJZBSBeemm,-1.0);
1163	>	globalcanvas->cd();
1164	>	globalcanvas->SetLogy(1);
1165	>
1166	>	RcorrJZBeemm->SetMarkerStyle(20);
1167	>	RcorrJZBeemm->GetXaxis()->SetRangeUser(0,high);
1168	>	blankback->Draw();
1169	>	RcorrJZBeemm->Draw("e1x0,same");
1170	>	RcorrJZBeemm->SetMarkerSize(DataMarkerSize);
1171	>
1172	>	Bpredem->SetLineColor(kRed+1);
1173	>	Bpredem->SetStats(0);
1174	>	Bpredem->Draw("hist,same");
1175	>
1176	>	BpredSBem->SetLineColor(kGreen+2);//TColor::GetColor("#0B6138"));
1177	>	BpredSBem->SetLineStyle(2);
1178	>	BpredSBem->Draw("hist,same");
1179	>
1180	>	BpredSBeemm->SetLineColor(kBlue+1);
1181	>	BpredSBeemm->SetLineStyle(3);
1182	>	BpredSBeemm->Draw("hist,same");
1183	>	RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1184	>
1185	>	TLegend *legBpredc = make_legend("",0.6,0.55);
1186	>	if(use_data==1)
1187	>	{
1188	>	legBpredc->AddEntry(RcorrJZBeemm,"observed","p");
1189	>	legBpredc->AddEntry(Bpredem,"OFZP","l");
1190	>	legBpredc->AddEntry(BpredSBem,"OFSB","l");
1191	>	legBpredc->AddEntry(BpredSBeemm,"SFSB","l");
1192	>	legBpredc->Draw();
1193	>	CompleteSave(globalcanvas,subdir+"Bpred_Data_comparison");
1194	>	}
1195	>	if(use_data==0) {
1196	>	legBpredc->AddEntry(RcorrJZBeemm,"MC true","p");
1197	>	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1198	>	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1199	>	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1200	>	legBpredc->Draw();
1201	>	CompleteSave(globalcanvas,subdir+"Bpred_MC_comparison");
1202	>	}
1203	>	if(use_data==2) {
1204	>	legBpredc->AddEntry(RcorrJZBeemm,"MC true","p");
1205	>	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1206	>	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1207	>	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1208	>	if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1209	>	legBpredc->Draw();
1210	>	CompleteSave(globalcanvas,subdir+"Bpred_MCwithS_comparison");
1211	>	}
1212		}
1213	+
1214		delete RcorrJZBeemm;
1215		delete LcorrJZBeemm;
1216		delete RcorrJZBem;
#	Line 1087 | Line 1235 | void do_prediction_plot(string jzb, TCan
1235		delete JLcorrJZBSBeemm;
1236		}
1237		if(overlay_signal || use_data==2) delete lm4RcorrJZBeemm;
1238	+	switch_overunderflow(false);
1239		}
1240
1241		void do_prediction_plots(string mcjzb, string datajzb, float DataSigma, float MCSigma, bool overlay_signal ) {
1242		TCanvas *globalcanvas = new TCanvas("globalcanvas","Prediction Canvas");
1243		do_prediction_plot(datajzb,globalcanvas,DataSigma,jzbHigh ,data,overlay_signal);
1244	<	do_prediction_plot(mcjzb,globalcanvas,MCSigma,jzbHigh ,mc,overlay_signal);
1245	<	do_prediction_plot(mcjzb,globalcanvas,MCSigma,jzbHigh ,mcwithsignal,overlay_signal);
1244	>	if ( !PlottingSetup::Approved ) {
1245	>	do_prediction_plot(mcjzb,globalcanvas,MCSigma,jzbHigh ,mc,overlay_signal);
1246	>	do_prediction_plot(mcjzb,globalcanvas,MCSigma,jzbHigh ,mcwithsignal,overlay_signal);
1247	>	} else {
1248	>	write_info(__FUNCTION__,"You set approved to true, therefore not producing prediction/observation plots for MC with and without signal.");
1249	>	}
1250		}
1251
1252		void do_ratio_plot(int is_data,vector<float> binning, string jzb, TCanvas *can, float high=-9999) {
#	Line 1443 | Line 1596 | void draw_pure_jzb_histo(TCut cut,string
1596		TText *writeline1 = write_cut_on_canvas(write_cut.c_str());
1597		writeline1->SetTextSize(0.035);
1598		writeline1->Draw();
1599	<	save_with_ratio(datahisto,mcstack,jzbpad->cd(),("jzb/"+savename));
1599	>	if(!Contains(savename,"Dibosons")) save_with_ratio(datahisto,mcstack,jzbpad->cd(),("jzb/"+savename));
1600	>	else save_with_ratio(datahisto,mcstack,jzbpad->cd(),savename);
1601		TPad *jzbpad2 = new TPad("jzbpad2","jzbpad2",0,0,1,1);
1602		jzbpad2->cd();
1603		jzbpad2->SetLogy(1);
#	Line 1458 | Line 1612 | void draw_pure_jzb_histo(TCut cut,string
1612		writeline1->SetTextSize(0.035);
1613		writeline1->Draw();
1614		DrawPrelim();
1615	<	save_with_ratio(datahisto,mcstack,jzbpad2->cd(),("jzb/PositiveSideOnly/"+savename+""));
1615	>	if(!Contains(savename,"Dibosons")) save_with_ratio(datahisto,mcstack,jzbpad2->cd(),("jzb/PositiveSideOnly/"+savename+""));
1616	>	else save_with_ratio(datahisto,mcstack,jzbpad2->cd(),(savename+"__PosOnly"));
1617		datahisto->Delete();
1618		mcstack.Delete();
1619		}
#	Line 1466 | Line 1621 | void draw_pure_jzb_histo(TCut cut,string
1621		Double_t GausR(Double_t *x, Double_t *par) {
1622		return gRandom->Gaus(x[0],par[0]);
1623		}
1624	+
1625	+	void produce_stretched_jzb_plots(string mcjzb, string datajzb,vector<float> ratio_binning) {
1626	+	TCanvas *dican = new TCanvas("dican","JZB Plots Canvas");
1627	+	float max=jzbHigh ;
1628	+	float min=-120;
1629	+	int nbins=(int)((max-min)/5.0); // we want 5 GeV/bin
1630	+	int coarserbins=int(nbins/2.0);
1631	+	int rebinnedbins=int(nbins/4.0);
1632	+
1633	+	vector<float>binning;vector<float>coarse_binning;vector<float>coarsest_binning;
1634	+	for(int i=0;i<=nbins;i++)binning.push_back(min+i*(max-min)/((float)nbins));
1635	+	for(int i=0;i<=coarserbins;i++)coarse_binning.push_back(min+i*(max-min)/((float)coarserbins));
1636	+	for(int i=0;i<=rebinnedbins;i++)coarsest_binning.push_back(min+i*(max-min)/((float)rebinnedbins));
1637	+
1638	+	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_SFZP",dican,binning);
1639	+	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_OFZP",dican,binning);
1640	+	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"Dibosons/ee/jzb_OS_SFZP",dican,binning);
1641	+	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"Dibosons/mm/jzb_OS_SFZP",dican,binning);
1642	+	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"Dibosons/ee/jzb_OS_OFZP",dican,binning);
1643	+	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"Dibosons/mm/jzb_OS_OFZP",dican,binning);
1644	+	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_SFSB",dican,binning);
1645	+	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_OFSB",dican,binning);
1646	+
1647	+	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_SFZP_coarse",dican,coarse_binning);
1648	+	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_OFZP_coarse",dican,coarse_binning);
1649	+	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_SFSB_coarse",dican,coarse_binning);
1650	+	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_OFSB_coarse",dican,coarse_binning);
1651	+
1652	+	delete dican;
1653	+	}
1654	+
1655	+
1656	+	void diboson_plots(string mcjzb, string datajzb,vector<float> ratio_binning) {
1657	+	vector<int> SamplesToBeModified = allsamples.FindSampleBySampleName("WW/WZ/ZZ");
1658	+
1659	+	if(SamplesToBeModified.size()==0 || SamplesToBeModified[0]==-1) {
1660	+	write_error(__FUNCTION__,"Could not find any diboson samples - aborting diboson plots");
1661	+	return;
1662	+	}
1663	+
1664	+	float stretchfactor = 100.0;
1665	+	vector<string> labels;
1666	+
1667	+
1668	+	dout << "Going to increase the cross section for diboson samples ... " << endl;
1669	+	for(int i=0;i<(int)SamplesToBeModified.size();i++) {
1670	+	float origxs=(allsamples.collection)[SamplesToBeModified[i]].xs;
1671	+	(allsamples.collection)[SamplesToBeModified[i]].xs=origxs*stretchfactor;
1672	+	dout << "     Increased xs for sample " << (allsamples.collection)[SamplesToBeModified[i]].filename << " from " << origxs << " to " << (allsamples.collection)[SamplesToBeModified[i]].xs << " (by a factor of " << stretchfactor << ")" << endl;
1673	+	labels.push_back((allsamples.collection)[SamplesToBeModified[i]].samplename);
1674	+	(allsamples.collection)[SamplesToBeModified[i]].samplename=any2string(int(stretchfactor))+" x "+(allsamples.collection)[SamplesToBeModified[i]].samplename;
1675	+	dout << "         (also renamed it to " << (allsamples.collection)[SamplesToBeModified[i]].samplename << " )" << endl;
1676	+	}
1677	+
1678	+	dout << "Going to produce JZB plots" << endl;
1679	+	produce_stretched_jzb_plots(mcjzb,datajzb,ratio_binning);
1680	+	TCanvas *gloca = new TCanvas("gloca","gloca");
1681	+	float sigma=123456;
1682	+
1683	+	dout << "Going to produce prediction plots" << endl;
1684	+	do_prediction_plot(mcjzb, gloca, sigma, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do only MC plots, no signal
1685	+	do_prediction_plot(mcjzb, gloca, sigma, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do MC plots with signal
1686	+	delete gloca;
1687	+
1688	+	dout << "Going to reset the cross section for diboson samples ... " << endl;
1689	+	for(int i=0;i<(int)SamplesToBeModified.size();i++) {
1690	+	float Upxs=(allsamples.collection)[SamplesToBeModified[i]].xs;
1691	+	(allsamples.collection)[SamplesToBeModified[i]].xs=(allsamples.collection)[SamplesToBeModified[i]].xs*(1.0/stretchfactor);
1692	+	string Upname=(allsamples.collection)[SamplesToBeModified[i]].samplename;
1693	+	(allsamples.collection)[SamplesToBeModified[i]].samplename=labels[i];
1694	+	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;
1695	+
1696	+	}
1697
1698	+	}
1699		void jzb_plots(string mcjzb, string datajzb,vector<float> ratio_binning) {
1700		TCanvas *can = new TCanvas("can","JZB Plots Canvas");
1701		float max=jzbHigh ;
#	Line 1480 | Line 1709 | void jzb_plots(string mcjzb, string data
1709		for(int i=0;i<=coarserbins;i++)coarse_binning.push_back(min+i*(max-min)/((float)coarserbins));
1710		for(int i=0;i<=rebinnedbins;i++)coarsest_binning.push_back(min+i*(max-min)/((float)rebinnedbins));
1711
1712	<	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP",can,binning);
1713	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP",can,binning);
1714	<	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_SFZP",can,binning);
1715	<	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_SFZP",can,binning);
1716	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_OFZP",can,binning);
1717	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_OFZP",can,binning);
1718	<	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1719	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB",can,binning);
1720	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB",can,binning);
1712	>	if ( !PlottingSetup::Approved ) {
1713	>	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP",can,binning);
1714	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP",can,binning);
1715	>	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_SFZP",can,binning);
1716	>	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_SFZP",can,binning);
1717	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"ee/jzb_OS_OFZP",can,binning);
1718	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"mm/jzb_OS_OFZP",can,binning);
1719	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1720	>	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB",can,binning);
1721	>	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB",can,binning);
1722	>	}
1723
1724		draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP_coarse",can,coarse_binning);
1725	<	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP_coarse",can,coarse_binning);
1726	<	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1727	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB_coarse",can,coarse_binning);
1728	<	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB_coarse",can,coarse_binning);
1729	<
1730	<	//  draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_SFZP_coarsest",can,coarsest_binning);
1731	<	//  draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP_coarsest",can,coarsest_binning);
1501	<	//  flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1502	<	//  if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB_coarsest",can,coarsest_binning);
1503	<	//  if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB_coarsest",can,coarsest_binning);
1725	>	if ( !PlottingSetup::Approved ) {
1726	>	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"jzb_OS_OFZP_coarse",can,coarse_binning);
1727	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1728	>	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB_coarse",can,coarse_binning);
1729	>	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB_coarse",can,coarse_binning);
1730	>	}
1731	>	delete can;
1732		}
1733
1734
#	Line 1555 | Line 1783 | void compute_MC_yields(string mcjzb,vect
1783		string posneg[] = {"pos","neg"};
1784		TCut tkRegions[] = {cutOSSF&&cutnJets&&cutmass,cutOSOF&&cutnJets&&cutmass,cutOSSF&&cutnJets&&sidebandcut,cutOSOF&&cutnJets&&sidebandcut};
1785
1786	<	for(int ijzb=0;ijzb<jzb_cuts.size();ijzb++) {
1786	>	for(int ijzb=0;ijzb<(int)jzb_cuts.size();ijzb++) {
1787		TCut jzbMC[]  = { give_jzb_expression(mcjzb,jzb_cuts[ijzb],"pos"), give_jzb_expression(mcjzb,jzb_cuts[ijzb],"neg") };
1788		dout << "_________________________________________________________" << endl;
1789		dout << "Table for JZB> " << jzb_cuts[ijzb] << endl;
1790	<	for(int isample=0;isample<(allsamples.collection).size();isample++) {
1790	>	for(int isample=0;isample<(int)(allsamples.collection).size();isample++) {
1791		if(!(allsamples.collection)[isample].is_data) dout << (allsamples.collection)[isample].samplename << "  &  ";
1792		else dout << "Sample & ";
1793		for(int iregion=0;iregion<nRegions;iregion++) {
#	Line 1818 | Line 2046 | void draw_ttbar_and_zjets_shape_for_one_
2046
2047		void draw_ttbar_and_zjets_shape(string mcjzb, string datajzb) {
2048		int all_leptons=-1;
1821	–	int electrons_only=0;
1822	–	int mu_only=1;
1823	–	int twojetswith50gev=1;
2049		int threejetswith30gev=0;
2050		/*
2051	+	int twojetswith50gev=1;
2052	+	int electrons_only=0;
2053	+	int mu_only=1;
2054	+
2055		draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,all_leptons,twojetswith50gev);
2056		draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,all_leptons,threejetswith30gev);
2057
#	Line 1841 | Line 2070 | void find_correction_factors(string &jzb
2070		TCanvas *cancorr = new TCanvas("cancorr","Canvas for Response Correction");
2071		cancorr->SetLogz();
2072		cancorr->SetRightMargin(0.13);
2073	<	flag_this_change(__FUNCTION__,__LINE__,false);//PlottingSetup::RestrictToMassPeak
2073	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
2074		TCut zptforresponsepresentation("pt<600"&&cutmass&&cutOSSF&&"((sumJetPt[1]/pt)<5.0)");
2075		TH2F *niceresponseplotd = new TH2F("niceresponseplotd","",100,0,600,100,0,5);
2076		(allsamples.collection)[allsamples.FindSample("Data")[0]].events->Draw("sumJetPt[1]/pt:pt>>niceresponseplotd",zptforresponsepresentation);
#	Line 1915 | Line 2144 | void pick_up_events(string cut) {
2144		allsamples.PickUpEvents(cut);
2145		}
2146
2147	<	void save_template(string mcjzb, string datajzb,vector<float> jzb_cuts,float MCPeakError) {
2147	>	void save_template(string mcjzb, string datajzb,vector<float> jzb_cuts,float MCPeakError,float DataPeakError) {
2148		dout << "Saving configuration template!" << endl;
2149		ofstream configfile;
2150		configfile.open("../DistributedModelCalculations/last_configuration.C");
#	Line 1936 | Line 2165 | void save_template(string mcjzb, string
2165		configfile<<"string mcjzb=\"mcjzb_ERROR\";\n";
2166		configfile<<"vector<float>jzb_cuts;\n";
2167		configfile<<"float MCPeakError=-999;\n";
2168	+	configfile<<"float DataPeakError=-999;\n";
2169		configfile<<"}\n\n";
2170
2171		configfile<<"void read_config() {\n";
2172		configfile<<"datajzb=\""<<datajzb<<"\";\n";
2173		configfile<<"mcjzb=\""<<mcjzb<<"\";\n\n";
2174	<	configfile<<"\n\nMCPeakError="<<MCPeakError<<";\n\n";
2175	<	for(int i=0;i<jzb_cuts.size();i++) configfile<<"jzb_cuts.push_back("<<jzb_cuts[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2174	>	configfile<<"\n\nMCPeakError="<<MCPeakError<<";\n";
2175	>	configfile<<"DataPeakError="<<DataPeakError<<";\n\n";
2176	>	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";
2177		configfile<<"\n\n";
2178	<	for(int i=0;i<Nobs.size();i++) configfile<<"Nobs.push_back("<<Nobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2179	<	for(int i=0;i<Npred.size();i++) configfile<<"Npred.push_back("<<Npred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2180	<	for(int i=0;i<Nprederr.size();i++) configfile<<"Nprederr.push_back("<<Nprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2178	>	for(int i=0;i<(int)Nobs.size();i++) configfile<<"Nobs.push_back("<<Nobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2179	>	for(int i=0;i<(int)Npred.size();i++) configfile<<"Npred.push_back("<<Npred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2180	>	for(int i=0;i<(int)Nprederr.size();i++) configfile<<"Nprederr.push_back("<<Nprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2181		configfile<<"\n\n";
2182	<	for(int i=0;i<flippedNobs.size();i++) configfile<<"flippedNobs.push_back("<<flippedNobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2183	<	for(int i=0;i<flippedNpred.size();i++) configfile<<"flippedNpred.push_back("<<flippedNpred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2184	<	for(int i=0;i<flippedNprederr.size();i++) configfile<<"flippedNprederr.push_back("<<flippedNprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2182	>	for(int i=0;i<(int)flippedNobs.size();i++) configfile<<"flippedNobs.push_back("<<flippedNobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2183	>	for(int i=0;i<(int)flippedNpred.size();i++) configfile<<"flippedNpred.push_back("<<flippedNpred[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2184	>	for(int i=0;i<(int)flippedNprederr.size();i++) configfile<<"flippedNprederr.push_back("<<flippedNprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2185		configfile<<"\n\n";
2186		configfile<<"luminosity="<<luminosity<<";\n";
2187	+	configfile<<"RestrictToMassPeak="<<RestrictToMassPeak<<";//defines the type of analysis we're running\n";
2188
2189		configfile<<"\n\ncout << \"Configuration successfully loaded!\" << endl; \n \n } \n \n";
2190
#	Line 1975 | Line 2207 | void draw_all_ttbar_histos(TCanvas *can,
2207		float max=histos[0]->GetMaximum();
2208		if(manualmin>=0) min=manualmin;
2209		else {
2210	<	for(int i=1;i<histos.size();i++) {
2210	>	for(int i=1;i<(int)histos.size();i++) {
2211		float curmin=get_nonzero_minimum(histos[i]);
2212		float curmax=histos[i]->GetMaximum();
2213		if(curmin<min) min=curmin;
#	Line 1986 | Line 2218 | void draw_all_ttbar_histos(TCanvas *can,
2218		histos[0]->Draw(drawoption.c_str());
2219		stringstream drawopt;
2220		drawopt << drawoption << ",same";
2221	<	for(int i=1;i<histos.size();i++) {
2221	>	for(int i=1;i<(int)histos.size();i++) {
2222		histos[i]->Draw(drawopt.str().c_str());
2223		}
2224		}
#	Line 2053 | Line 2285 | void ttbar_sidebands_comparison(string m
2285		leg->Draw("same");
2286		DrawMCPrelim(simulatedlumi);
2287		CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_shape_comparison");
2288	<
2288	>	cout << __LINE__ << endl;
2289		TH1F *TZemcopy = (TH1F*)TZem->Clone("TZemcopy");
2290	+	cout << __LINE__ << endl;
2291		TH1F *TZeemmcopy = (TH1F*)TZeemm->Clone("TZeemmcopy");
2292	<	TH1F *TSeemmcopy = (TH1F*)TSeemm->Clone("TSeemmcopy");
2293	<	TH1F *TSemcopy = (TH1F*)TSem->Clone("TSemcopy");
2292	>	cout << __LINE__ << endl;
2293	>	TH1F *TSeemmcopy;
2294	>	TH1F *TSemcopy;
2295	>	if(PlottingSetup::RestrictToMassPeak) {
2296	>	TSeemmcopy = (TH1F*)TSeemm->Clone("TSeemmcopy");
2297	>	TSemcopy = (TH1F*)TSem->Clone("TSemcopy");
2298	>	}
2299
2300		TZem->Divide(TZeemm);
2301		TZem->SetMarkerStyle(21);
#	Line 2079 | Line 2317 | void ttbar_sidebands_comparison(string m
2317
2318		float linepos=0.25;
2319		if(PlottingSetup::RestrictToMassPeak) linepos=0.25;
2320	+	if(!PlottingSetup::RestrictToMassPeak) linepos=0.1; //sys uncertainty for iJZB
2321		TLine *top = new TLine(binning[0],1.0+linepos,binning[binning.size()-1],1.0+linepos);
2322		TLine *center = new TLine(binning[0],1.0,binning[binning.size()-1],1.0);
2323		TLine *bottom = new TLine(binning[0],1.0-linepos,binning[binning.size()-1],1.0-linepos);
2324
2325	+	/*write_warning(__FUNCTION__,"These two lines are to be removed!");
2326	+	TLine *topalt = new TLine(binning[0],1.0+0.1,binning[binning.size()-1],1.0+0.1);
2327	+	TLine *bottomalt = new TLine(binning[0],1.0-0.1,binning[binning.size()-1],1.0-0.1);
2328	+	topalt->SetLineColor(kRed);topalt->SetLineStyle(3);
2329	+	bottomalt->SetLineColor(kRed);bottomalt->SetLineStyle(3);
2330	+	topalt->Draw("same");bottomalt->Draw("same");*/
2331	+
2332	+
2333		top->SetLineColor(kBlue);top->SetLineStyle(2);
2334		bottom->SetLineColor(kBlue);bottom->SetLineStyle(2);
2335		center->SetLineColor(kBlue);
#	Line 2107 | Line 2354 | void ttbar_sidebands_comparison(string m
2354		CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_shape_comparison_ratio");
2355
2356
2110	–
2357		///-------------- second part: only look at the quantity we actually care about!
2358		TH1F *leftsfzp  = (TH1F*)nTZeemm->Clone("leftsfzp");
2359		TH1F *rightsfzp = (TH1F*)TZeemmcopy->Clone("rightsfzp");
#	Line 2266 | Line 2512 | void zjets_prediction_comparison() {
2512		hJZBpos->SetLineColor(kBlack);
2513		hJZBneg->SetLineColor(kRed);
2514
2269	–	Int_t nbins = 5;
2270	–	Float_t xmax = 100.;
2271	–
2272	–
2515		TCanvas *zcan = new TCanvas("zcan","zcan");
2516		zcan->SetLogy(1);
2517
#	Line 2354 | Line 2596 | void make_table(samplecollection &coll,
2596
2597		TCanvas *cannie = new TCanvas("cannie","cannie");
2598
2599	<	for(int icut=0;icut<jzb_cuts.size();icut++) {
2599	>	for(int icut=0;icut<(int)jzb_cuts.size();icut++) {
2600		float currcut=jzb_cuts[icut];
2601		int nbins=1;float low=currcut;
2602		vector<int> mysample;
#	Line 2413 | Line 2655 | void make_table(samplecollection &coll,
2655		//prediction part
2656		if(is_data) cout << "Data prediction & ";
2657		if(subselection!="none") cout << subselection << " prediction &";
2658	<	for(int ij=0;ij<jzb_cuts.size();ij++) cout << jzbcutprediction[ij] << " vs " << metcutprediction[ij] << " & ";
2658	>	for(int ij=0;ij<(int)jzb_cuts.size();ij++) cout << jzbcutprediction[ij] << " vs " << metcutprediction[ij] << " & ";
2659
2660		cout << endl;
2661		//observation part
2662		if(is_data) cout << "Data observation & ";
2663		if(subselection!="none") cout << subselection << " observation &";
2664	<	for(int ij=0;ij<jzb_cuts.size();ij++) cout << jzbcutobservation[ij] << " vs " << metcutobservation[ij] << " & ";
2664	>	for(int ij=0;ij<(int)jzb_cuts.size();ij++) cout << jzbcutobservation[ij] << " vs " << metcutobservation[ij] << " & ";
2665		cout << endl;
2666		cout << "_________________________________________________________________" << endl;
2667		delete cannie;
#	Line 2454 | Line 2696 | void JZBSelEff(string mcjzb, TTree* even
2696		int nbins = sizeof(xbins)/sizeof(float)-1;
2697		int markers[] = { 20, 26, 21, 24, 22, 25, 28 };
2698
2699	<	TH1F* heff  = new TH1F("heff", "JZB eff ; generator-level JZB [GeV]; efficiency",nbins,xbins);
2700	<	TH1F* hgen  = new TH1F("hgen", "JZB gen ; generator-level JZB [GeV]; efficiency",nbins,xbins);
2701	<	TH1F* hreco = new TH1F("hreco","JZB reco ; generator-level JZB [GeV]; efficiency",nbins,xbins);
2699	>
2700	>	TH1F* heff  = new TH1F("heff", "JZB eff ; generator JZB [GeV]; efficiency",nbins,xbins);
2701	>	TH1F* hgen  = new TH1F("hgen", "JZB gen ; generator JZB [GeV]; efficiency",nbins,xbins);
2702	>	TH1F* hreco = new TH1F("hreco","JZB reco ; generator JZB [GeV]; efficiency",nbins,xbins);
2703
2704		TCut kgen(genMassCut&&"genZPt>0&&genNjets>2&&abs(genMID)==23"&&cutOSSF);
2705		TCut kreco(cutmass);
#	Line 2472 | Line 2715 | void JZBSelEff(string mcjzb, TTree* even
2715		TCanvas *can = new TCanvas("can","Canvas for JZB Efficiency",600,600);
2716		can->SetGridx(1);
2717		can->SetGridy(1);
2718	+	can->SetLeftMargin(0.16);
2719	+	can->SetRightMargin(0.05);
2720		TLegend *leg = make_legend("",0.6,0.2,false,0.89,0.5);
2721	+	leg->SetBorderSize(1);
2722	+	leg->SetLineColor(kBlack);
2723	+	leg->SetTextFont(62);
2724
2725	<
2478	<
2479	<	for ( int icut=0; icut<jzb_bins.size(); ++icut ) {
2725	>	for ( int icut=0; icut<(int)jzb_bins.size(); ++icut ) {
2726
2727		ostringstream selection;
2728		selection << mcjzb << ">" << jzb_bins[icut];
#	Line 2492 | Line 2738 | void JZBSelEff(string mcjzb, TTree* even
2738		}
2739
2740		heff->GetXaxis()->SetRangeUser(min, max);
2741	+	//    heff->GetXaxis()->SetLabelSize(0.05); // paper style. overruled.
2742	+	//    heff->GetYaxis()->SetLabelSize(0.05); // paper style. overruled.
2743	+	//    heff->GetXaxis()->SetTitleSize(0.06); // paper style. overruled.
2744	+	//    heff->GetYaxis()->SetTitleSize(0.06); // paper style. overruled.
2745		heff->SetMarkerStyle(markers[icut]);
2746		heff->Fit("func","Q+","same");
2747
#	Line 2503 | Line 2753 | void JZBSelEff(string mcjzb, TTree* even
2753
2754		// Store plot
2755		TH1F* h = (TH1F*)heff->Clone(hname);
2756	+	h->SetNdivisions(505,"X");
2757		if ( icut) h->Draw("same");
2758		else h->Draw();
2759		char htitle[256]; sprintf(htitle,"JZB > %3.0f GeV", jzb_bins[icut]);
#	Line 2523 | Line 2774 | void JZBSelEff(string mcjzb, TTree* even
2774		// Calls the above function for each signal sample
2775		void plot_jzb_sel_eff(string mcjzb, samplecollection &signalsamples, vector<float> bins )
2776		{
2777	<	for (int isignal=0; isignal<signalsamples.collection.size();isignal++) {
2777	>	for (int isignal=0; isignal<(int)signalsamples.collection.size();isignal++) {
2778		dout << "JZB selection efficiency curve: " << std::endl;
2779		JZBSelEff(mcjzb,(signalsamples.collection)[isignal].events,(signalsamples.collection)[isignal].samplename,bins); // Only for some selected samples
2780		}
#	Line 2566 | Line 2817 | void qcd_plots(string datajzb, string mc
2817		TH1F *RcorrJZBSBeemm;
2818		TH1F *LcorrJZBSBeemm;
2819
2820	<	TH1F *RcorrJZBeemmNoS;
2820	>	//  TH1F *RcorrJZBeemmNoS;
2821
2822		//these are for the ratio
2823		TH1F *JRcorrJZBeemm   = qcdsamples.Draw("JRcorrJZBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
#	Line 2697 | Line 2948 | void qcd_plots(string datajzb, string mc
2948		dout << "    Observation increases by : " << RcorrJZBeemm->Integral() << endl;
2949
2950		dout << endl;
2951	<	for(int i=0;i<bins.size();i++) {
2951	>	for(int i=0;i<(int)bins.size();i++) {
2952		dout << " JZB > " << bins[i] << " : " << endl;
2953		dout << "    Observation increases by : " << RcorrJZBeemm->Integral(RcorrJZBeemm->FindBin(bins[i]),RcorrJZBeemm->GetNbinsX()) << endl;
2954		if(PlottingSetup::RestrictToMassPeak) {
#	Line 2745 | Line 2996 | void check_ptsanity() {
2996		leg->SetY2(1.0);
2997
2998
2999	<	for(int isample=0;isample<allsamples.collection.size();isample++) {
2999	>	for(int isample=0;isample<(int)allsamples.collection.size();isample++) {
3000		string nowname=(allsamples.collection)[isample].filename;
3001		cout << "Drawing: " << nowname << " (sample " << isample+1 << " / " << allsamples.collection.size() << ")" << endl;
3002		individualpt1histos[isample] = allsamples.Draw(GetNumericHistoName(),"pt1",50,0,50, "p_{T,1}", "events",cutOSSF&&cutnJets,mc,luminosity,allsamples.FindSample(nowname));
#	Line 2769 | Line 3020 | void check_ptsanity() {
3020		ptsancan->cd(2);
3021		fpt2->Draw();
3022
3023	<	for(int isample=0;isample<allsamples.collection.size();isample++) {
3023	>	for(int isample=0;isample<(int)allsamples.collection.size();isample++) {
3024		ptsancan->cd(1);
3025		individualpt1histos[isample]->DrawNormalized("same,histo");
3026		ptsancan->cd(2);
#	Line 2782 | Line 3033 | void check_ptsanity() {
3033		delete ptsancan;
3034		}
3035
3036	+	void do_mlls_plot(string mcjzb) {
3037	+	cout << "At this point we'd plot the mll distribution" << endl;
3038	+	TCanvas *sigcan = new TCanvas("sigcan","sigcan");
3039	+	for(int isig=0;isig<(int)(signalsamples.collection).size();isig++) {
3040	+	if(!(signalsamples.collection)[isig].events) continue;
3041	+	string nowname=(signalsamples.collection)[isig].filename;
3042	+	TH1F *mll = signalsamples.Draw("mllhisto","mll",150,0,150, "m_{ll}", "events",cutOSSF&&cutnJets,mc,luminosity,signalsamples.FindSample(nowname));
3043	+	//    TH1F *mll = signalsamples.Draw("mllhisto","mll",150,0,150, "m_{ll}", "events","",mc,luminosity,signalsamples.FindSample(nowname));
3044	+	mll->SetLineColor(TColor::GetColor("#04B404"));
3045	+	stringstream poscutS;
3046	+	poscutS << "((" << mcjzb <<")>50)";
3047	+	TCut poscut(poscutS.str().c_str());
3048	+	TH1F *mllP = signalsamples.Draw("mllhistoP","mll",150,0,150, "m_{ll}", "events",cutOSSF&&cutnJets&&poscut,mc,luminosity,signalsamples.FindSample(nowname));
3049	+	mllP->SetLineColor(TColor::GetColor("#0040FF"));
3050	+	mll->Draw("histo");
3051	+	mllP->Draw("histo,same");
3052	+	TLegend *leg = make_legend();
3053	+	leg->SetY1(0.8);
3054	+	leg->AddEntry(mll,(signalsamples.collection)[isig].samplename.c_str(),"L");
3055	+	leg->AddEntry(mllP,((signalsamples.collection)[isig].samplename+", JZB>50").c_str(),"L");
3056	+	leg->Draw();
3057	+	TLine *lin = new TLine(71.2,0,71.2,mll->GetMaximum());
3058	+	TLine *lin2 = new TLine(111.2,0,111.2,mll->GetMaximum());
3059	+	lin->Draw("same");
3060	+	lin2->Draw("same");
3061	+
3062	+	CompleteSave(sigcan,"MllShape/"+(signalsamples.collection)[isig].samplename);
3063	+	delete mll;
3064	+	delete mllP;
3065	+	}
3066	+	}
3067	+
3068	+	void met_vs_jzb_plots() {
3069	+
3070	+	TCanvas *canmetjzb = new TCanvas("canmet","MET vs JZB canvas");
3071	+	canmetjzb->SetRightMargin(0.16);
3072	+
3073	+	vector<string> findme;
3074	+	findme.push_back("DY");
3075	+	findme.push_back("TTJets");
3076	+	findme.push_back("LM");
3077	+
3078	+	for(int ifind=0;ifind<(int)findme.size();ifind++) {
3079	+	vector<int> selsamples = allsamples.FindSample(findme[ifind]);
3080	+	TH2F *metvsjzb = new TH2F("metvsjzb","metvsjzb",200,0,100,400,-100,100);
3081	+	for(int isel=0;isel<(int)selsamples.size();isel++) {
3082	+	cout << "Producing MET:JZB plot ... working on sample: " << allsamples.collection[selsamples[isel]].filename << endl;
3083	+	allsamples.collection[selsamples[isel]].events->Draw("jzb[1]:met[4]>>+metvsjzb",cutmass&&cutOSSF);
3084	+	}
3085	+	metvsjzb->Scale(allsamples.collection[selsamples[0]].weight);
3086	+	metvsjzb->SetStats(0);
3087	+	metvsjzb->GetXaxis()->SetTitle("MET (GeV)");
3088	+	metvsjzb->GetYaxis()->SetTitle("JZB (GeV)");
3089	+	metvsjzb->GetXaxis()->CenterTitle();
3090	+	metvsjzb->GetYaxis()->CenterTitle();
3091	+	metvsjzb->Draw("COLZ");
3092	+	TText* title = write_text(0.5,0.95,allsamples.collection[selsamples[0]].samplename);
3093	+	title->SetTextAlign(12);
3094	+	title->Draw();
3095	+	CompleteSave(canmetjzb,(string)"METvsJZBplots/"+findme[ifind]);
3096	+	}
3097	+	}
3098	+
3099	+
3100		void test() {
3101
3102		TCanvas *testcanv = new TCanvas("testcanv","testcanv");

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