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Comparing UserCode/cbrown/Development/Plotting/Modules/Plotting_Functions.C (file contents):
Revision 1.3 by buchmann, Thu Feb 23 15:15:52 2012 UTC vs.
Revision 1.12 by buchmann, Wed Apr 18 09:20:36 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;
30	+	dout << "Info : The lepton requirement is currently set to " << (const char*) leptoncut << endl;
31		}
32
33		void find_peaks(float &MCPeak,float &MCPeakError, float &DataPeak, float &DataPeakError, float &MCSigma, float &DataSigma, stringstream &result, bool doPUreweighting = true )
#	Line 68 | 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 193 | 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 291 | Line 379 | void make_kin_plot(string variable, stri
379		delete ckin;
380		}
381
294	–
382		void make_JES_plot() {
383
384		int nbins=10;
#	Line 346 | 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 357 | 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_ee",doPF,true);
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);
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 366 | Line 455 | void do_kinematic_plots(string mcjzb, st
455		make_kin_plot("eta1","",40,-5,5,nolog,"#eta_{l}","eta",doPF);
456		make_kin_plot("jzb[1]","",100,-150,150,dolog,"JZB [GeV]","jzb_ossf",doPF);
457		make_kin_plot("pfJetGoodNum","",8,0.5,8.5,dolog,"nJets","nJets",doPF);
458	<	make_kin_plot("pfJetGoodNum","",8,0.5,8.5,dolog,"nJets","nJets_nocuts_except_mll_ossf",doPF);
458	>	make_kin_plot("pfJetGoodNum","",8,0.5,8.5,dolog,"nJets","nJets_nocuts_except_mll_ossf",doPF);*//*
459		if(!doPF) make_special_mll_plot((int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]");
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,50);
475	+	make_special_obs_pred_mll_plot(mcjzb,100);
476	+	make_special_obs_pred_mll_plot(mcjzb,150);
477	+	make_special_obs_pred_mll_plot(mcjzb,200);
478	+	make_special_obs_pred_mll_plot(mcjzb,250);
479		}
480
481		void make_comp_plot( string var, string xlabel, string filename, float jzbcut, string mcjzb, string datajzb,
#	Line 480 | Line 585 | void signal_bg_comparison()
585		float simulatedlumi=luminosity;//in pb please - adjust to your likings
586
587		TH1F *JZBplotZJETs = allsamples.Draw("JZBplotZJETs",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("/DY"));
588	<	TH1F *JZBplotLM4 = allsamples.Draw("JZBplotLM4",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("LM4"));
588	>	TH1F *JZBplotLM4;
589	>	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"));
590	>	else JZBplotLM4 = allsamples.Draw("JZBplotLM4",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("LM3"));
591		TH1F *JZBplotTtbar = allsamples.Draw("JZBplotTtbar",jzbvariablemc,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,simulatedlumi,allsamples.FindSample("TTJets"));
592
593		JZBplotTtbar->SetLineColor(allsamples.GetColor("TTJet"));
#	Line 504 | Line 611 | void signal_bg_comparison()
611		TLegend *signal_bg_comparison_leg2 =  make_legend("",0.55,0.75,false);
612		signal_bg_comparison_leg2->AddEntry(JZBplotZJETs,"Z+Jets","f");
613		signal_bg_comparison_leg2->AddEntry(JZBplotTtbar,"t#bar{t}","f");
614	<	signal_bg_comparison_leg2->AddEntry(JZBplotLM4,"LM4","f");
614	>	if(PlottingSetup::RestrictToMassPeak) signal_bg_comparison_leg2->AddEntry(JZBplotLM4,"LM4","f");
615	>	else signal_bg_comparison_leg2->AddEntry(JZBplotLM4,"LM3","f");
616		signal_bg_comparison_leg2->Draw();
617		DrawMCPrelim(simulatedlumi);
618		CompleteSave(can,"jzb_bg_vs_signal_distribution");
#	Line 746 | Line 854 | if you want to start from scratch (witho
854		return return_functions;
855		}
856
857	<	void do_prediction_plot(string jzb, TCanvas *globalcanvas, float sigma, float high, int use_data, bool overlay_signal = false )
857	>	void do_prediction_plot(string jzb, TCanvas *globalcanvas, float sigma, float high, int use_data, bool overlay_signal = false,string subdir="" )
858		{
859	+	// note: sigma is not used ATM
860	+	switch_overunderflow(true);
861		bool is_data=false;
862		bool use_signal=false;
863		if(use_data==1) is_data=true;
#	Line 756 | Line 866 | void do_prediction_plot(string jzb, TCan
866		if(is_data) nbins=50;
867		float low=0;
868		float hi=500;
869	+
870	+	stringstream largerzeroS;
871	+	largerzeroS << "("<<jzb<<">0)";
872	+	TCut largerzero(largerzeroS.str().c_str());
873	+	stringstream smallerzeroS;
874	+	smallerzeroS << "("<<jzb<<"<0)";
875	+	TCut smallerzero(smallerzeroS.str().c_str());
876	+
877		TH1F *blankback = new TH1F("blankback","blankback",int(high/10),0,high);
878	<	TH1F *RcorrJZBeemm   = allsamples.Draw("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
879	<	TH1F *LcorrJZBeemm   = allsamples.Draw("LcorrJZBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
880	<	TH1F *RcorrJZBem     = allsamples.Draw("RcorrJZBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
881	<	TH1F *LcorrJZBem     = allsamples.Draw("LcorrJZBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
878	>	TH1F *RcorrJZBeemm   = allsamples.Draw("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
879	>	TH1F *LcorrJZBeemm   = allsamples.Draw("LcorrJZBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
880	>	TH1F *RcorrJZBem     = allsamples.Draw("RcorrJZBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
881	>	TH1F *LcorrJZBem     = allsamples.Draw("LcorrJZBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
882	>
883		blankback->GetXaxis()->SetTitle(RcorrJZBeemm->GetXaxis()->GetTitle());
884		blankback->GetYaxis()->SetTitle(RcorrJZBeemm->GetYaxis()->GetTitle());
885		blankback->GetXaxis()->CenterTitle();
#	Line 775 | Line 894 | void do_prediction_plot(string jzb, TCan
894		TH1F *RcorrJZBeemmNoS;
895
896		//these are for the ratio
897	<	TH1F *JRcorrJZBeemm   = allsamples.Draw("JRcorrJZBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
898	<	TH1F *JLcorrJZBeemm   = allsamples.Draw("JLcorrJZBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
899	<	TH1F *JRcorrJZBem     = allsamples.Draw("JRcorrJZBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
900	<	TH1F *JLcorrJZBem     = allsamples.Draw("JLcorrJZBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
897	>
898	>	TH1F *JRcorrJZBeemm   = allsamples.Draw("JRcorrJZBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
899	>	TH1F *JLcorrJZBeemm   = allsamples.Draw("JLcorrJZBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
900	>	TH1F *JRcorrJZBem     = allsamples.Draw("JRcorrJZBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
901	>	TH1F *JLcorrJZBem     = allsamples.Draw("JLcorrJZBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
902
903		TH1F *JRcorrJZBSBem;
904		TH1F *JLcorrJZBSBem;
905		TH1F *JRcorrJZBSBeemm;
906		TH1F *JLcorrJZBSBeemm;
907
908	<	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);
908	>	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);
909
910
911		if(PlottingSetup::RestrictToMassPeak) {
912	<	RcorrJZBSBem   = allsamples.Draw("RcorrJZBSBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
913	<	LcorrJZBSBem   = allsamples.Draw("LcorrJZBSBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
914	<	RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
915	<	LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
916	<
912	>	RcorrJZBSBem   = allsamples.Draw("RcorrJZBSBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
913	>	LcorrJZBSBem   = allsamples.Draw("LcorrJZBSBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
914	>	RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
915	>	LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
916	>
917		//these are for the ratio
918	<	JRcorrJZBSBem   = allsamples.Draw("JRcorrJZBSBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
919	<	JLcorrJZBSBem   = allsamples.Draw("JLcorrJZBSBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
920	<	JRcorrJZBSBeemm = allsamples.Draw("JRcorrJZBSBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
921	<	JLcorrJZBSBeemm = allsamples.Draw("JLcorrJZBSBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
802	<
918	>	JRcorrJZBSBem   = allsamples.Draw("JRcorrJZBSBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
919	>	JLcorrJZBSBem   = allsamples.Draw("JLcorrJZBSBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
920	>	JRcorrJZBSBeemm = allsamples.Draw("JRcorrJZBSBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
921	>	JLcorrJZBSBeemm = allsamples.Draw("JLcorrJZBSBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
922		}
923
924		TH1F *lm4RcorrJZBeemm;
925	<	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"));
925	>	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"));
926
927		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- prediction changed.
928
#	Line 897 | Line 1016 | void do_prediction_plot(string jzb, TCan
1016		Bpred->Draw("hist,same");
1017		analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1018		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1019	+	lm4RcorrJZBeemm->Draw("hist,same");
1020		legBpred->AddEntry(RcorrJZBeemm,"observed","p");
1021		legBpred->AddEntry(Bpred,"predicted","l");
1022		legBpred->AddEntry(analytical_function[1],"predicted fit","l");
#	Line 906 | Line 1026 | void do_prediction_plot(string jzb, TCan
1026		DrawPrelim();
1027
1028		//this plot shows what the prediction is composed of
1029	<	TCanvas *specialcanv = new TCanvas("specialcanv","specialcanv");
1030	<	specialcanv->SetLogy(1);
1031	<	Zjetspred->SetFillColor(kYellow);
1032	<	Zjetspred->SetLineColor(kYellow);
1033	<	TTbarpred->SetFillColor(allsamples.GetColor((allsamples.FindSample("TTJets"))[0]));
1034	<	TTbarpred->SetLineColor(allsamples.GetColor((allsamples.FindSample("TTJets"))[0]));
1029	>	TPad *predcomppad = new TPad("predcomppad","predcomppad",0,0,1,1);
1030	>	float CurrentBpredLineWidth=Bpred->GetLineWidth();
1031	>	Bpred->SetLineWidth(2);
1032	>	predcomppad->cd();
1033	>	predcomppad->SetLogy(1);
1034	>
1035	>	TH1F *jzbnegative = (TH1F*)LcorrJZBeemm->Clone("jzbnegative");
1036	>	TH1F *sidebandsemu = (TH1F*)Bpred->Clone("sidebandsemu");
1037	>	sidebandsemu->Add(jzbnegative,-1);
1038	>
1039	>	jzbnegative->SetFillColor(allsamples.GetColor((allsamples.FindSample("DY"))[0]));
1040	>	jzbnegative->SetLineColor(allsamples.GetColor((allsamples.FindSample("DY"))[0]));
1041	>	sidebandsemu->SetLineColor(allsamples.GetColor((allsamples.FindSample("TTJets"))[0]));
1042	>	sidebandsemu->SetFillColor(allsamples.GetColor((allsamples.FindSample("TTJets"))[0]));
1043	>
1044		THStack predcomposition("predcomposition","prediction composition");
1045	<	predcomposition.Add(TTbarpred);
1046	<	predcomposition.Add(Zjetspred);
1045	>	predcomposition.Add(sidebandsemu);
1046	>	predcomposition.Add(jzbnegative);
1047		blankback->Draw();
1048		RcorrJZBeemm->Draw("e1x0,same");
1049		predcomposition.Draw("histo,same");//
1050		Bpred->Draw("hist,same");
1051	<	analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1051	>	//    analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1052		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1053	<	legBpred->Draw();
1053	>	//    TH1F *lm4RcorrJZBeemmC = (TH1F*)lm4RcorrJZBeemm->Clone("lm4RcorrJZBeemmC");
1054	>	//    lm4RcorrJZBeemmC->SetLineColor(kOrange+1);
1055	>	lm4RcorrJZBeemm->SetLineColor(kOrange+1);
1056	>	//    lm4RcorrJZBeemmC->Draw("histo,same");
1057	>	lm4RcorrJZBeemm->SetLineWidth(2);
1058	>	lm4RcorrJZBeemm->Draw("histo,same");
1059		DrawPrelim();
1060	<	TLegend *specialleg = new TLegend(0.6,0.4,0.89,0.55);
1061	<	specialleg->SetFillColor(kWhite);specialleg->SetLineColor(kWhite);
1062	<	specialleg->AddEntry(Zjetspred,"Z+Jets prediction","f");
1063	<	specialleg->AddEntry(TTbarpred,"t#bar{t} prediction","f");
1064	<	specialleg->Draw("same");
1065	<	CompleteSave(specialcanv,"Bpred_Data_____PredictionComposition");
1066	<
1060	>	TLegend *speciallegBpred = make_legend("",0.45,0.55);
1061	>	speciallegBpred->AddEntry(RcorrJZBeemm,"Data","pl");
1062	>	speciallegBpred->AddEntry(Bpred,"Total background","l");
1063	>	speciallegBpred->AddEntry(jzbnegative,"JZB<0 (data)","f");
1064	>	speciallegBpred->AddEntry(sidebandsemu,"Sidebands/e#mu (data)","f");
1065	>	//    speciallegBpred->AddEntry(lm4RcorrJZBeemmC,"LM4","l");
1066	>	speciallegBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1067	>	speciallegBpred->Draw();
1068	>	save_with_ratio(JRcorrJZBeemm,JBpred,predcomppad,subdir+"Bpred_Data_____PredictionComposition",true,use_data!=1,"data/pred");
1069	>
1070	>	TCanvas *specialcanv = new TCanvas("specialcanv","specialcanv");
1071		THStack kostack = allsamples.DrawStack("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,!is_data, luminosity,use_signal);
1072		blankback->Draw();
1073		kostack.Draw("same");
#	Line 938 | Line 1076 | void do_prediction_plot(string jzb, TCan
1076		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1077		legBpred->Draw();
1078		DrawPrelim();
1079	<	CompleteSave(specialcanv,"Bpred_Data_____PredictionCompositioninMC");
1079	>	CompleteSave(specialcanv,subdir+"Bpred_Data_____PredictionCompositioninMC");
1080	>	Bpred->SetLineWidth((int)CurrentBpredLineWidth);
1081
1082	<	delete specialcanv;
944	<	delete specialleg;
1082	>	delete speciallegBpred;
1083		delete Zjetspred;
1084		delete TTbarpred;
1085
#	Line 951 | Line 1089 | void do_prediction_plot(string jzb, TCan
1089		RcorrJZBeemm->Draw("e1x0,same");
1090		Bpred->Draw("hist,same");
1091		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1092	<	legBpred->AddEntry(RcorrJZBeemm,"MC observed","p");
1092	>	legBpred->AddEntry(RcorrJZBeemm,"MC true","p");
1093		legBpred->AddEntry(Bpred,"MC predicted","l");
1094		if(versok) legBpred->AddEntry((TObject*)0,"",""); // Just for alignment // causes seg fault on root v5.18
1095		if(versok) legBpred->AddEntry((TObject*)0,"",""); // causes seg fault on root v5.18
#	Line 965 | Line 1103 | void do_prediction_plot(string jzb, TCan
1103		RcorrJZBeemm->Draw("e1x0,same");
1104		Bpred->Draw("hist,same");
1105		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1106	<	legBpred->AddEntry(RcorrJZBeemm,"MC observed","p");
1106	>	legBpred->AddEntry(RcorrJZBeemm,"MC true","p");
1107		legBpred->AddEntry(Bpred,"MC predicted","l");
1108	<	legBpred2->AddEntry(RcorrJZBeemm,"MC observed","p");
1108	>	legBpred2->AddEntry(RcorrJZBeemm,"MC true","p");
1109		legBpred2->AddEntry(Bpred,"MC predicted","l");
1110		{
1111		if(versok) legBpred->AddEntry((TObject*)0,"",""); // Just for alignment // causes seg fault on root v5.18 --> now only allowed for root >=v5.30
#	Line 996 | Line 1134 | void do_prediction_plot(string jzb, TCan
1134		//3rd last argument: do special bpred ratio, 2nd last argument: extended range!, last: y-axis title
1135		string ytitle("ratio");
1136		if ( use_data==1 ) ytitle = "data/pred";
1137	<	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,Bpredsaveas,true,use_data!=1,ytitle);
1137	>	//save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,Bpredsaveas,true,use_data!=1,ytitle);
1138	>	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,subdir+Bpredsaveas,true,false,ytitle);//not extending the y range anymore up to 4
1139
1140
1141		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1142		/// The part below is meaningless for the offpeak analysis (it's a comparison of the different estimates but there is but one estimate!)
1143	<	if(!PlottingSetup::RestrictToMassPeak) return;
1144	<	TH1F *Bpredem = (TH1F*)LcorrJZBeemm->Clone("Bpredem");
1145	<	Bpredem->Add(RcorrJZBem);
1146	<	Bpredem->Add(LcorrJZBem,-1);
1147	<	TH1F *BpredSBem = (TH1F*)LcorrJZBeemm->Clone("BpredSBem");
1148	<	BpredSBem->Add(RcorrJZBSBem);
1149	<	Bpred->Add(LcorrJZBSBem,-1);
1150	<	TH1F *BpredSBeemm = (TH1F*)LcorrJZBeemm->Clone("BpredSBeemm");
1151	<	BpredSBeemm->Add(RcorrJZBSBeemm);
1152	<	BpredSBeemm->Add(LcorrJZBSBeemm,-1.0);
1153	<	globalcanvas->cd();
1154	<	globalcanvas->SetLogy(1);
1155	<
1156	<	RcorrJZBeemm->SetMarkerStyle(20);
1157	<	RcorrJZBeemm->GetXaxis()->SetRangeUser(0,high);
1158	<	blankback->Draw();
1159	<	RcorrJZBeemm->Draw("e1x0,same");
1160	<	RcorrJZBeemm->SetMarkerSize(DataMarkerSize);
1161	<
1162	<	Bpredem->SetLineColor(kRed+1);
1163	<	Bpredem->SetStats(0);
1164	<	Bpredem->Draw("hist,same");
1165	<
1166	<	BpredSBem->SetLineColor(kGreen+2);//TColor::GetColor("#0B6138"));
1167	<	BpredSBem->SetLineStyle(2);
1168	<	BpredSBem->Draw("hist,same");
1169	<
1170	<	BpredSBeemm->SetLineColor(kBlue+1);
1171	<	BpredSBeemm->SetLineStyle(3);
1172	<	BpredSBeemm->Draw("hist,same");
1173	<	RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1174	<
1175	<	TLegend *legBpredc = make_legend("",0.6,0.55);
1176	<	if(use_data==1)
1177	<	{
1178	<	legBpredc->AddEntry(RcorrJZBeemm,"observed","p");
1179	<	legBpredc->AddEntry(Bpredem,"OFZP","l");
1180	<	legBpredc->AddEntry(BpredSBem,"OFSB","l");
1181	<	legBpredc->AddEntry(BpredSBeemm,"SFSB","l");
1182	<	legBpredc->Draw();
1183	<	CompleteSave(globalcanvas,"Bpred_Data_comparison");
1184	<	}
1185	<	if(use_data==0) {
1186	<	legBpredc->AddEntry(RcorrJZBeemm,"MC observed","p");
1187	<	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1188	<	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1189	<	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1190	<	legBpredc->Draw();
1191	<	CompleteSave(globalcanvas,"Bpred_MC_comparison");
1192	<	}
1193	<	if(use_data==2) {
1194	<	legBpredc->AddEntry(RcorrJZBeemm,"MC observed","p");
1195	<	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1196	<	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1197	<	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1198	<	if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1199	<	legBpredc->Draw();
1200	<	CompleteSave(globalcanvas,"Bpred_MCwithS_comparison");
1143	>	if(PlottingSetup::RestrictToMassPeak) {
1144	>	TH1F *Bpredem = (TH1F*)LcorrJZBeemm->Clone("Bpredem");
1145	>	Bpredem->Add(RcorrJZBem);
1146	>	Bpredem->Add(LcorrJZBem,-1);
1147	>	TH1F *BpredSBem = (TH1F*)LcorrJZBeemm->Clone("BpredSBem");
1148	>	BpredSBem->Add(RcorrJZBSBem);
1149	>	Bpred->Add(LcorrJZBSBem,-1);
1150	>	TH1F *BpredSBeemm = (TH1F*)LcorrJZBeemm->Clone("BpredSBeemm");
1151	>	BpredSBeemm->Add(RcorrJZBSBeemm);
1152	>	BpredSBeemm->Add(LcorrJZBSBeemm,-1.0);
1153	>	globalcanvas->cd();
1154	>	globalcanvas->SetLogy(1);
1155	>
1156	>	RcorrJZBeemm->SetMarkerStyle(20);
1157	>	RcorrJZBeemm->GetXaxis()->SetRangeUser(0,high);
1158	>	blankback->Draw();
1159	>	RcorrJZBeemm->Draw("e1x0,same");
1160	>	RcorrJZBeemm->SetMarkerSize(DataMarkerSize);
1161	>
1162	>	Bpredem->SetLineColor(kRed+1);
1163	>	Bpredem->SetStats(0);
1164	>	Bpredem->Draw("hist,same");
1165	>
1166	>	BpredSBem->SetLineColor(kGreen+2);//TColor::GetColor("#0B6138"));
1167	>	BpredSBem->SetLineStyle(2);
1168	>	BpredSBem->Draw("hist,same");
1169	>
1170	>	BpredSBeemm->SetLineColor(kBlue+1);
1171	>	BpredSBeemm->SetLineStyle(3);
1172	>	BpredSBeemm->Draw("hist,same");
1173	>	RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1174	>
1175	>	TLegend *legBpredc = make_legend("",0.6,0.55);
1176	>	if(use_data==1)
1177	>	{
1178	>	legBpredc->AddEntry(RcorrJZBeemm,"observed","p");
1179	>	legBpredc->AddEntry(Bpredem,"OFZP","l");
1180	>	legBpredc->AddEntry(BpredSBem,"OFSB","l");
1181	>	legBpredc->AddEntry(BpredSBeemm,"SFSB","l");
1182	>	legBpredc->Draw();
1183	>	CompleteSave(globalcanvas,subdir+"Bpred_Data_comparison");
1184	>	}
1185	>	if(use_data==0) {
1186	>	legBpredc->AddEntry(RcorrJZBeemm,"MC true","p");
1187	>	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1188	>	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1189	>	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1190	>	legBpredc->Draw();
1191	>	CompleteSave(globalcanvas,subdir+"Bpred_MC_comparison");
1192	>	}
1193	>	if(use_data==2) {
1194	>	legBpredc->AddEntry(RcorrJZBeemm,"MC true","p");
1195	>	legBpredc->AddEntry(Bpredem,"MC OFZP","l");
1196	>	legBpredc->AddEntry(BpredSBem,"MC OFSB","l");
1197	>	legBpredc->AddEntry(BpredSBeemm,"MC SFSB","l");
1198	>	if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1199	>	legBpredc->Draw();
1200	>	CompleteSave(globalcanvas,subdir+"Bpred_MCwithS_comparison");
1201	>	}
1202		}
1203	+
1204		delete RcorrJZBeemm;
1205		delete LcorrJZBeemm;
1206		delete RcorrJZBem;
#	Line 1084 | Line 1225 | void do_prediction_plot(string jzb, TCan
1225		delete JLcorrJZBSBeemm;
1226		}
1227		if(overlay_signal || use_data==2) delete lm4RcorrJZBeemm;
1228	+	switch_overunderflow(false);
1229		}
1230
1231		void do_prediction_plots(string mcjzb, string datajzb, float DataSigma, float MCSigma, bool overlay_signal ) {
#	Line 1440 | Line 1582 | void draw_pure_jzb_histo(TCut cut,string
1582		TText *writeline1 = write_cut_on_canvas(write_cut.c_str());
1583		writeline1->SetTextSize(0.035);
1584		writeline1->Draw();
1585	<	save_with_ratio(datahisto,mcstack,jzbpad->cd(),("jzb/"+savename));
1585	>	if(!Contains(savename,"Dibosons")) save_with_ratio(datahisto,mcstack,jzbpad->cd(),("jzb/"+savename));
1586	>	else save_with_ratio(datahisto,mcstack,jzbpad->cd(),savename);
1587		TPad *jzbpad2 = new TPad("jzbpad2","jzbpad2",0,0,1,1);
1588		jzbpad2->cd();
1589		jzbpad2->SetLogy(1);
#	Line 1455 | Line 1598 | void draw_pure_jzb_histo(TCut cut,string
1598		writeline1->SetTextSize(0.035);
1599		writeline1->Draw();
1600		DrawPrelim();
1601	<	save_with_ratio(datahisto,mcstack,jzbpad2->cd(),("jzb/PositiveSideOnly/"+savename+""));
1601	>	if(!Contains(savename,"Dibosons")) save_with_ratio(datahisto,mcstack,jzbpad2->cd(),("jzb/PositiveSideOnly/"+savename+""));
1602	>	else save_with_ratio(datahisto,mcstack,jzbpad2->cd(),(savename+"__PosOnly"));
1603		datahisto->Delete();
1604		mcstack.Delete();
1605		}
#	Line 1463 | Line 1607 | void draw_pure_jzb_histo(TCut cut,string
1607		Double_t GausR(Double_t *x, Double_t *par) {
1608		return gRandom->Gaus(x[0],par[0]);
1609		}
1610	+
1611	+	void produce_stretched_jzb_plots(string mcjzb, string datajzb,vector<float> ratio_binning) {
1612	+	TCanvas *dican = new TCanvas("dican","JZB Plots Canvas");
1613	+	float max=jzbHigh ;
1614	+	float min=-120;
1615	+	int nbins=(int)((max-min)/5.0); // we want 5 GeV/bin
1616	+	int coarserbins=int(nbins/2.0);
1617	+	int rebinnedbins=int(nbins/4.0);
1618	+
1619	+	vector<float>binning;vector<float>coarse_binning;vector<float>coarsest_binning;
1620	+	for(int i=0;i<=nbins;i++)binning.push_back(min+i*(max-min)/((float)nbins));
1621	+	for(int i=0;i<=coarserbins;i++)coarse_binning.push_back(min+i*(max-min)/((float)coarserbins));
1622	+	for(int i=0;i<=rebinnedbins;i++)coarsest_binning.push_back(min+i*(max-min)/((float)rebinnedbins));
1623	+
1624	+	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_SFZP",dican,binning);
1625	+	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_OFZP",dican,binning);
1626	+	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"Dibosons/ee/jzb_OS_SFZP",dican,binning);
1627	+	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"Dibosons/mm/jzb_OS_SFZP",dican,binning);
1628	+	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==0",datajzb,mcjzb,"Dibosons/ee/jzb_OS_OFZP",dican,binning);
1629	+	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass&&"id1==1",datajzb,mcjzb,"Dibosons/mm/jzb_OS_OFZP",dican,binning);
1630	+	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_SFSB",dican,binning);
1631	+	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_OFSB",dican,binning);
1632	+
1633	+	draw_pure_jzb_histo(cutOSSF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_SFZP_coarse",dican,coarse_binning);
1634	+	draw_pure_jzb_histo(cutOSOF&&cutnJets&&cutmass,datajzb,mcjzb,"Dibosons/jzb_OS_OFZP_coarse",dican,coarse_binning);
1635	+	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_SFSB_coarse",dican,coarse_binning);
1636	+	if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"Dibosons/jzb_OS_OFSB_coarse",dican,coarse_binning);
1637	+
1638	+	delete dican;
1639	+	}
1640
1641	+
1642	+	void diboson_plots(string mcjzb, string datajzb,vector<float> ratio_binning) {
1643	+	vector<int> SamplesToBeModified = allsamples.FindSampleBySampleName("WW/WZ/ZZ");
1644	+
1645	+	if(SamplesToBeModified.size()==0 || SamplesToBeModified[0]==-1) {
1646	+	write_error(__FUNCTION__,"Could not find any diboson samples - aborting diboson plots");
1647	+	return;
1648	+	}
1649	+
1650	+	float stretchfactor = 100.0;
1651	+	vector<string> labels;
1652	+
1653	+
1654	+	dout << "Going to increase the cross section for diboson samples ... " << endl;
1655	+	for(int i=0;i<SamplesToBeModified.size();i++) {
1656	+	float origxs=(allsamples.collection)[SamplesToBeModified[i]].xs;
1657	+	(allsamples.collection)[SamplesToBeModified[i]].xs=origxs*stretchfactor;
1658	+	dout << "     Increased xs for sample " << (allsamples.collection)[SamplesToBeModified[i]].filename << " from " << origxs << " to " << (allsamples.collection)[SamplesToBeModified[i]].xs << " (by a factor of " << stretchfactor << ")" << endl;
1659	+	labels.push_back((allsamples.collection)[SamplesToBeModified[i]].samplename);
1660	+	(allsamples.collection)[SamplesToBeModified[i]].samplename=any2string(int(stretchfactor))+" x "+(allsamples.collection)[SamplesToBeModified[i]].samplename;
1661	+	dout << "         (also renamed it to " << (allsamples.collection)[SamplesToBeModified[i]].samplename << " )" << endl;
1662	+	}
1663	+
1664	+	dout << "Going to produce JZB plots" << endl;
1665	+	//  produce_stretched_jzb_plots(mcjzb,datajzb,ratio_binning);
1666	+	TCanvas *gloca = new TCanvas("gloca","gloca");
1667	+	float sigma=123456;
1668	+
1669	+	dout << "Going to produce prediction plots" << endl;
1670	+	do_prediction_plot(mcjzb, gloca, sigma, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do only MC plots, no signal
1671	+	do_prediction_plot(mcjzb, gloca, sigma, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do MC plots with signal
1672	+	delete gloca;
1673	+
1674	+	dout << "Going to reset the cross section for diboson samples ... " << endl;
1675	+	for(int i=0;i<SamplesToBeModified.size();i++) {
1676	+	float Upxs=(allsamples.collection)[SamplesToBeModified[i]].xs;
1677	+	(allsamples.collection)[SamplesToBeModified[i]].xs=(allsamples.collection)[SamplesToBeModified[i]].xs*(1.0/stretchfactor);
1678	+	string Upname=(allsamples.collection)[SamplesToBeModified[i]].samplename;
1679	+	(allsamples.collection)[SamplesToBeModified[i]].samplename=labels[i];
1680	+	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;
1681	+
1682	+	}
1683	+
1684	+	}
1685		void jzb_plots(string mcjzb, string datajzb,vector<float> ratio_binning) {
1686		TCanvas *can = new TCanvas("can","JZB Plots Canvas");
1687		float max=jzbHigh ;
#	Line 1498 | Line 1716 | void jzb_plots(string mcjzb, string data
1716		//  flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1717		//  if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSSF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_SFSB_coarsest",can,coarsest_binning);
1718		//  if(PlottingSetup::RestrictToMassPeak) draw_pure_jzb_histo(cutOSOF&&cutnJets&&sidebandcut,datajzb,mcjzb,"jzb_OS_OFSB_coarsest",can,coarsest_binning);
1719	+	delete can;
1720		}
1721
1722
#	Line 1838 | Line 2057 | void find_correction_factors(string &jzb
2057		TCanvas *cancorr = new TCanvas("cancorr","Canvas for Response Correction");
2058		cancorr->SetLogz();
2059		cancorr->SetRightMargin(0.13);
2060	<	flag_this_change(__FUNCTION__,__LINE__,false);//PlottingSetup::RestrictToMassPeak
2060	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
2061		TCut zptforresponsepresentation("pt<600"&&cutmass&&cutOSSF&&"((sumJetPt[1]/pt)<5.0)");
2062		TH2F *niceresponseplotd = new TH2F("niceresponseplotd","",100,0,600,100,0,5);
2063		(allsamples.collection)[allsamples.FindSample("Data")[0]].events->Draw("sumJetPt[1]/pt:pt>>niceresponseplotd",zptforresponsepresentation);
#	Line 1912 | Line 2131 | void pick_up_events(string cut) {
2131		allsamples.PickUpEvents(cut);
2132		}
2133
2134	<	void save_template(string mcjzb, string datajzb,vector<float> jzb_cuts,float MCPeakError) {
2134	>	void save_template(string mcjzb, string datajzb,vector<float> jzb_cuts,float MCPeakError,float DataPeakError) {
2135		dout << "Saving configuration template!" << endl;
2136		ofstream configfile;
2137		configfile.open("../DistributedModelCalculations/last_configuration.C");
#	Line 1933 | Line 2152 | void save_template(string mcjzb, string
2152		configfile<<"string mcjzb=\"mcjzb_ERROR\";\n";
2153		configfile<<"vector<float>jzb_cuts;\n";
2154		configfile<<"float MCPeakError=-999;\n";
2155	+	configfile<<"float DataPeakError=-999;\n";
2156		configfile<<"}\n\n";
2157
2158		configfile<<"void read_config() {\n";
2159		configfile<<"datajzb=\""<<datajzb<<"\";\n";
2160		configfile<<"mcjzb=\""<<mcjzb<<"\";\n\n";
2161	<	configfile<<"\n\nMCPeakError="<<MCPeakError<<";\n\n";
2161	>	configfile<<"\n\nMCPeakError="<<MCPeakError<<";\n";
2162	>	configfile<<"DataPeakError="<<DataPeakError<<";\n\n";
2163		for(int i=0;i<jzb_cuts.size();i++) configfile<<"jzb_cuts.push_back("<<jzb_cuts[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2164		configfile<<"\n\n";
2165		for(int i=0;i<Nobs.size();i++) configfile<<"Nobs.push_back("<<Nobs[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
#	Line 1950 | Line 2171 | void save_template(string mcjzb, string
2171		for(int i=0;i<flippedNprederr.size();i++) configfile<<"flippedNprederr.push_back("<<flippedNprederr[i]<<"); // JZB cut at " << jzb_cuts[i] << "\n";
2172		configfile<<"\n\n";
2173		configfile<<"luminosity="<<luminosity<<";\n";
2174	+	configfile<<"RestrictToMassPeak="<<RestrictToMassPeak<<";//defines the type of analysis we're running\n";
2175
2176		configfile<<"\n\ncout << \"Configuration successfully loaded!\" << endl; \n \n } \n \n";
2177
#	Line 2050 | Line 2272 | void ttbar_sidebands_comparison(string m
2272		leg->Draw("same");
2273		DrawMCPrelim(simulatedlumi);
2274		CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_shape_comparison");
2275	<
2275	>	cout << __LINE__ << endl;
2276		TH1F *TZemcopy = (TH1F*)TZem->Clone("TZemcopy");
2277	+	cout << __LINE__ << endl;
2278		TH1F *TZeemmcopy = (TH1F*)TZeemm->Clone("TZeemmcopy");
2279	<	TH1F *TSeemmcopy = (TH1F*)TSeemm->Clone("TSeemmcopy");
2280	<	TH1F *TSemcopy = (TH1F*)TSem->Clone("TSemcopy");
2279	>	cout << __LINE__ << endl;
2280	>	TH1F *TSeemmcopy;
2281	>	TH1F *TSemcopy;
2282	>	if(PlottingSetup::RestrictToMassPeak) {
2283	>	TSeemmcopy = (TH1F*)TSeemm->Clone("TSeemmcopy");
2284	>	TSemcopy = (TH1F*)TSem->Clone("TSemcopy");
2285	>	}
2286
2287		TZem->Divide(TZeemm);
2288		TZem->SetMarkerStyle(21);
#	Line 2076 | Line 2304 | void ttbar_sidebands_comparison(string m
2304
2305		float linepos=0.25;
2306		if(PlottingSetup::RestrictToMassPeak) linepos=0.25;
2307	+	if(!PlottingSetup::RestrictToMassPeak) linepos=0.1; //sys uncertainty for iJZB
2308		TLine *top = new TLine(binning[0],1.0+linepos,binning[binning.size()-1],1.0+linepos);
2309		TLine *center = new TLine(binning[0],1.0,binning[binning.size()-1],1.0);
2310		TLine *bottom = new TLine(binning[0],1.0-linepos,binning[binning.size()-1],1.0-linepos);
2311
2312	+	/*write_warning(__FUNCTION__,"These two lines are to be removed!");
2313	+	TLine *topalt = new TLine(binning[0],1.0+0.1,binning[binning.size()-1],1.0+0.1);
2314	+	TLine *bottomalt = new TLine(binning[0],1.0-0.1,binning[binning.size()-1],1.0-0.1);
2315	+	topalt->SetLineColor(kRed);topalt->SetLineStyle(3);
2316	+	bottomalt->SetLineColor(kRed);bottomalt->SetLineStyle(3);
2317	+	topalt->Draw("same");bottomalt->Draw("same");*/
2318	+
2319	+
2320		top->SetLineColor(kBlue);top->SetLineStyle(2);
2321		bottom->SetLineColor(kBlue);bottom->SetLineStyle(2);
2322		center->SetLineColor(kBlue);
#	Line 2104 | Line 2341 | void ttbar_sidebands_comparison(string m
2341		CompleteSave(tcan,"Systematics/"+prestring+"/ttbar_shape_comparison_ratio");
2342
2343
2107	–
2344		///-------------- second part: only look at the quantity we actually care about!
2345		TH1F *leftsfzp  = (TH1F*)nTZeemm->Clone("leftsfzp");
2346		TH1F *rightsfzp = (TH1F*)TZeemmcopy->Clone("rightsfzp");
#	Line 2717 | Line 2953 | void qcd_plots(string datajzb, string mc
2953		if(PlottingSetup::RestrictToMassPeak&&LcorrJZBSBeemm) delete LcorrJZBSBeemm;
2954		}
2955
2956	+	void check_ptsanity() {
2957	+	TCanvas *ptsancan = new TCanvas("ptsancan","ptsancan",600,1800);
2958	+	TH1F *individualpt1histos[allsamples.collection.size()];
2959	+	TH1F *individualpt2histos[allsamples.collection.size()];
2960	+	TH1F *fpt1 = new TH1F("fpt1","fpt1",50,0,50);
2961	+	fpt1->GetYaxis()->SetRangeUser(0,1);
2962	+	fpt1->GetXaxis()->SetTitle("p_{T,1}");
2963	+	fpt1->GetXaxis()->CenterTitle();
2964	+
2965	+	TH1F *fpt2 = new TH1F("fpt2","fpt2",50,0,50);
2966	+	fpt2->GetXaxis()->SetTitle("p_{T,2}");
2967	+	fpt2->GetXaxis()->CenterTitle();
2968	+
2969	+	ptsancan->Divide(1,3);
2970	+	ptsancan->cd(1);
2971	+	float maxpt1entry=0;
2972	+	float maxpt2entry=0;
2973	+
2974	+	TLegend *leg = make_legend();
2975	+	leg->SetX1(0.0);
2976	+	leg->SetY1(0.0);
2977	+	leg->SetX2(1.0);
2978	+	leg->SetY2(1.0);
2979	+
2980	+
2981	+	for(int isample=0;isample<allsamples.collection.size();isample++) {
2982	+	string nowname=(allsamples.collection)[isample].filename;
2983	+	cout << "Drawing: " << nowname << " (sample " << isample+1 << " / " << allsamples.collection.size() << ")" << endl;
2984	+	individualpt1histos[isample] = allsamples.Draw(GetNumericHistoName(),"pt1",50,0,50, "p_{T,1}", "events",cutOSSF&&cutnJets,mc,luminosity,allsamples.FindSample(nowname));
2985	+	individualpt2histos[isample] = allsamples.Draw(GetNumericHistoName(),"pt2",50,0,50, "p_{T,2}", "events",cutOSSF&&cutnJets,mc,luminosity,allsamples.FindSample(nowname));
2986	+	individualpt1histos[isample]->SetLineColor(isample+1);
2987	+	individualpt2histos[isample]->SetLineColor(isample+1);
2988	+	float currmaxpt1entry=individualpt1histos[isample]->GetMaximum()/individualpt1histos[isample]->Integral();
2989	+	float currmaxpt2entry=individualpt2histos[isample]->GetMaximum()/individualpt2histos[isample]->Integral();
2990	+	cout << "      pt 1 histo contains; " << individualpt1histos[isample]->Integral() << endl;
2991	+	cout << "      pt 2 histo contains; " << individualpt2histos[isample]->Integral() << endl;
2992	+	if(currmaxpt1entry>maxpt1entry)maxpt1entry=currmaxpt1entry;
2993	+	if(currmaxpt2entry>maxpt2entry)maxpt2entry=currmaxpt2entry;
2994	+	leg->AddEntry(individualpt2histos[isample],((allsamples.collection)[isample].filename).c_str(),"f");
2995	+	}
2996	+
2997	+	fpt1->GetYaxis()->SetRangeUser(0,maxpt1entry);
2998	+	fpt2->GetYaxis()->SetRangeUser(0,maxpt2entry);
2999	+
3000	+	ptsancan->cd(1);
3001	+	fpt1->Draw();
3002	+	ptsancan->cd(2);
3003	+	fpt2->Draw();
3004	+
3005	+	for(int isample=0;isample<allsamples.collection.size();isample++) {
3006	+	ptsancan->cd(1);
3007	+	individualpt1histos[isample]->DrawNormalized("same,histo");
3008	+	ptsancan->cd(2);
3009	+	individualpt2histos[isample]->DrawNormalized("same,histo");
3010	+	}
3011	+	ptsancan->cd(3);
3012	+	leg->Draw();
3013	+	CompleteSave(ptsancan,"PtSanityCheck");
3014	+
3015	+	delete ptsancan;
3016	+	}
3017	+
3018	+	void do_mlls_plot(string mcjzb) {
3019	+	cout << "At this point we'd plot the mll distribution" << endl;
3020	+	TCanvas *sigcan = new TCanvas("sigcan","sigcan");
3021	+	for(int isig=0;isig<(signalsamples.collection).size();isig++) {
3022	+	if(!(signalsamples.collection)[isig].events) continue;
3023	+	string nowname=(signalsamples.collection)[isig].filename;
3024	+	TH1F *mll = signalsamples.Draw("mllhisto","mll",150,0,150, "m_{ll}", "events",cutOSSF&&cutnJets,mc,luminosity,signalsamples.FindSample(nowname));
3025	+	//    TH1F *mll = signalsamples.Draw("mllhisto","mll",150,0,150, "m_{ll}", "events","",mc,luminosity,signalsamples.FindSample(nowname));
3026	+	mll->SetLineColor(TColor::GetColor("#04B404"));
3027	+	stringstream poscutS;
3028	+	poscutS << "((" << mcjzb <<")>50)";
3029	+	TCut poscut(poscutS.str().c_str());
3030	+	TH1F *mllP = signalsamples.Draw("mllhistoP","mll",150,0,150, "m_{ll}", "events",cutOSSF&&cutnJets&&poscut,mc,luminosity,signalsamples.FindSample(nowname));
3031	+	mllP->SetLineColor(TColor::GetColor("#0040FF"));
3032	+	mll->Draw("histo");
3033	+	mllP->Draw("histo,same");
3034	+	TLegend *leg = make_legend();
3035	+	leg->SetY1(0.8);
3036	+	leg->AddEntry(mll,(signalsamples.collection)[isig].samplename.c_str(),"L");
3037	+	leg->AddEntry(mllP,((signalsamples.collection)[isig].samplename+", JZB>50").c_str(),"L");
3038	+	leg->Draw();
3039	+	TLine *lin = new TLine(71.2,0,71.2,mll->GetMaximum());
3040	+	TLine *lin2 = new TLine(111.2,0,111.2,mll->GetMaximum());
3041	+	lin->Draw("same");
3042	+	lin2->Draw("same");
3043	+
3044	+	CompleteSave(sigcan,"MllShape/"+(signalsamples.collection)[isig].samplename);
3045	+	delete mll;
3046	+	delete mllP;
3047	+	}
3048	+	}
3049	+
3050	+	void met_vs_jzb_plots() {
3051	+
3052	+	TCanvas *canmetjzb = new TCanvas("canmet","MET vs JZB canvas");
3053	+	canmetjzb->SetRightMargin(0.16);
3054	+
3055	+	vector<string> findme;
3056	+	findme.push_back("DY");
3057	+	findme.push_back("TTJets");
3058	+	findme.push_back("LM");
3059	+
3060	+	for(int ifind=0;ifind<findme.size();ifind++) {
3061	+	vector<int> selsamples = allsamples.FindSample(findme[ifind]);
3062	+	TH2F *metvsjzb = new TH2F("metvsjzb","metvsjzb",200,0,100,400,-100,100);
3063	+	for(int isel=0;isel<selsamples.size();isel++) {
3064	+	cout << "Producing MET:JZB plot ... working on sample: " << allsamples.collection[selsamples[isel]].filename << endl;
3065	+	allsamples.collection[selsamples[isel]].events->Draw("jzb[1]:met[4]>>+metvsjzb",cutmass&&cutOSSF);
3066	+	}
3067	+	metvsjzb->Scale(allsamples.collection[selsamples[0]].weight);
3068	+	metvsjzb->SetStats(0);
3069	+	metvsjzb->GetXaxis()->SetTitle("MET (GeV)");
3070	+	metvsjzb->GetYaxis()->SetTitle("JZB (GeV)");
3071	+	metvsjzb->GetXaxis()->CenterTitle();
3072	+	metvsjzb->GetYaxis()->CenterTitle();
3073	+	metvsjzb->Draw("COLZ");
3074	+	TText* title = write_text(0.5,0.95,allsamples.collection[selsamples[0]].samplename);
3075	+	title->SetTextAlign(12);
3076	+	title->Draw();
3077	+	CompleteSave(canmetjzb,(string)"METvsJZBplots/"+findme[ifind]);
3078	+	}
3079	+	}
3080	+
3081	+
3082		void test() {
3083
3084		TCanvas *testcanv = new TCanvas("testcanv","testcanv");

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