ViewVC Help

View File | Revision Log | Show Annotations | Root Listing

root/cvsroot/UserCode/cbrown/Development/Plotting/Modules/Plotting_Functions.C

Comparing UserCode/cbrown/Development/Plotting/Modules/Plotting_Functions.C (file contents):
Revision 1.22 by buchmann, Wed Jun 6 07:02:16 2012 UTC vs.
Revision 1.30 by buchmann, Tue Jun 19 16:13:35 2012 UTC

#	Line 28 | Line 28 | void todo() {
28		dout << "Info : The pt requirement is currently set to " << (const char*) passtrig << endl;
29		dout << "Info : The mll requirement is currently set to " << (const char*) cutmass << endl;
30		dout << "Info : The lepton requirement is currently set to " << (const char*) leptoncut << endl;
31	+	dout << "Info : The weight applied to all MC is " << (const char*) cutWeight << endl;
32		}
33
34	<	void find_peaks(float &MCPeak,float &MCPeakError, float &DataPeak, float &DataPeakError, float &MCSigma, float &DataSigma, stringstream &result, bool doPUreweighting = true )
34	>
35	>
36	>	void find_one_peak_combination(TCut specialcut, float &MCPeak,float &MCPeakError, float &DataPeak, float &DataPeakError, float &MCSigma, float &DataSigma, stringstream &result, bool doPUreweighting = true, string saveas="")
37		{
38		// Temporarily switch off PU reweighting, if asked
39		TCut weightbackup=cutWeight;
40		if ( !doPUreweighting ) cutWeight="1.0";
41
42	+	int nbins=100;
43	+	if(PlottingSetup::DoBTag) nbins=25;
44	+
45		TCanvas *tempcan = new TCanvas("tempcan","Temporary canvas for peak finding preparations");
46	<	TH1F *rawJZBeemmMC      = allsamples.Draw("rawJZBeemmMC",jzbvariablemc,100,-50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,mc, luminosity);
47	<	TH1F *rawJZBeemmData    = allsamples.Draw("rawJZBeemmData",jzbvariabledata,100, -50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,data, luminosity);
48	<	TH1F *rawJZBemMC      = allsamples.Draw("rawJZBemMC",jzbvariablemc,100,-50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,mc, luminosity);
49	<	TH1F *rawJZBemData    = allsamples.Draw("rawJZBemData",jzbvariabledata,100, -50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,data, luminosity);
46	>	TH1F *rawJZBeemmMC      = allsamples.Draw("rawJZBeemmMC",jzbvariablemc,nbins,-50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&specialcut,mc, luminosity);
47	>	TH1F *rawJZBeemmData    = allsamples.Draw("rawJZBeemmData",jzbvariabledata,nbins, -50,50, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&specialcut,data, luminosity);
48	>	TH1F *rawJZBemMC      = allsamples.Draw("rawJZBemMC",jzbvariablemc,nbins,-50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&specialcut,mc, luminosity);
49	>	TH1F *rawJZBemData    = allsamples.Draw("rawJZBemData",jzbvariabledata,nbins, -50,50, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&specialcut,data, luminosity);
50		TH1F *rawttbarjzbeemmMC;
51
52		if(method==doKM) {
53		//we only need this histo for the KM fitting...
54	<	rawttbarjzbeemmMC = allsamples.Draw("rawttbarjzbeemmMC",jzbvariablemc,100, -50,50, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets,mc,luminosity,allsamples.FindSample("TTJet"));
55	<	MCPeak=find_peak(rawJZBeemmMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method);
56	<	DataPeak=find_peak(rawJZBeemmData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method);
54	>	rawttbarjzbeemmMC = allsamples.Draw("rawttbarjzbeemmMC",jzbvariablemc,nbins, -50,50, "JZB [GeV]", "events",cutmass&&cutOSSF&&cutnJets&&specialcut,mc,luminosity,allsamples.FindSample("TTJet"));
55	>	MCPeak=find_peak(rawJZBeemmMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method,saveas);
56	>	DataPeak=find_peak(rawJZBeemmData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method,saveas);
57	>	delete rawttbarjzbeemmMC;
58		}
59		else {
60		TH1F *reducedMC = (TH1F*)rawJZBeemmMC->Clone();
#	Line 55 | Line 62 | void find_peaks(float &MCPeak,float &MCP
62		reducedMC->Add(rawJZBemMC,-1);
63		reducedData->Add(rawJZBemData,-1);
64		//this is Kostas' way of doing it - we subtract em to get rid of some of the ttbar contribution (in reality, of flavor-symmetric contribution)
65	<	MCPeak=find_peak(reducedMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method);
66	<	DataPeak=find_peak(reducedData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method);
67	<
65	>	MCPeak=find_peak(reducedMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method,saveas);
66	>	DataPeak=find_peak(reducedData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method,saveas);
67	>	delete reducedMC;
68	>	delete reducedData;
69		}
70
71		// Revert to original PU reweighting
#	Line 65 | Line 73 | void find_peaks(float &MCPeak,float &MCP
73
74		//  MCPeak=find_peak(rawJZBeemmMC, rawttbarjzbeemmMC, -40, 40, mc, MCPeakError,MCSigma,method);
75		//  DataPeak=find_peak(rawJZBeemmData, rawJZBeemmData, -40, 40, data, DataPeakError,DataSigma,method);
76	<	dout << "We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
77	<	result << "We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
78	<	dout << "We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
79	<	result << "We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
76	>	dout   << "   We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
77	>	result << "   We have found the peak in Data at " << DataPeak << " +/- " << DataPeakError << " with sigma=" << DataSigma << " +/- ?? (not impl.)" << endl;
78	>	dout   << "   We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
79	>	result << "   We have found the peak in MC at " << MCPeak << " +/- " << MCPeakError << " with sigma=" << MCSigma << " +/- ?? (not impl.)" << endl;
80	>	delete rawJZBeemmData;
81	>	delete rawJZBeemmMC;
82	>	delete rawJZBemData;
83	>	delete rawJZBemMC;
84		delete tempcan;
85		}
86
87	+	void find_peaks(float &MCPeak,float &MCPeakError, float &DataPeak, float &DataPeakError, stringstream &result, bool doPUreweighting, stringstream &datajzb, stringstream &mcjzb)
88	+	{
89	+	float mcpeak, datapeak;
90	+	float mcpeakerr, datapeakerr;
91	+
92	+	float mceepeak,mcmmpeak;
93	+	float mceepeakerr,mcmmpeakerr;
94	+
95	+	float datammpeak,dataeepeak;
96	+	float datammpeakerr,dataeepeakerr;
97	+
98	+	float mcSigma, dataSigma;
99	+
100	+	dout << "Finding global peak : " << endl;
101	+	find_one_peak_combination(TCut(""),mcpeak,mcpeakerr, datapeak,datapeakerr,mcSigma, dataSigma,result,doPUreweighting,"");
102	+
103	+	dout << "Finding peak for electrons : " << endl;
104	+	find_one_peak_combination(TCut("id1==0"),mceepeak,mceepeakerr, dataeepeak,dataeepeakerr,mcSigma, dataSigma,result,doPUreweighting,"_ele");
105	+	dout << "Finding peak for muons : " << endl;
106	+	find_one_peak_combination(TCut("id1==1"),mcmmpeak,mcmmpeakerr, datammpeak,datammpeakerr,mcSigma, dataSigma,result,doPUreweighting,"_mu");
107	+
108	+	datajzb << "(" << jzbvariabledata;
109	+	mcjzb << "(" << jzbvariablemc;
110	+
111	+	if(dataeepeak>0) datajzb << "- (id1==id2)*(id1==0)*" << TMath::Abs(dataeepeak) << " ";
112	+	else datajzb << "+ (id1==id2)*(id1==0)*" << TMath::Abs(dataeepeak) << " ";
113	+
114	+	if(datammpeak>0) datajzb << "- (id1==id2)*(id1==1)*" << TMath::Abs(datammpeak) << " ";
115	+	else datajzb << "+ (id1==id2)*(id1==1)*" << TMath::Abs(datammpeak) << " ";
116	+
117	+	if(datapeak>0) datajzb << "- (id1!=id2)*" << TMath::Abs(datapeak) << " ";
118	+	else datajzb << "+ (id1!=id2)*" << TMath::Abs(datapeak) << " ";
119	+
120	+	datajzb << ")";
121	+
122	+	if(mceepeak>0) mcjzb << "- (id1==id2)*(id1==0)*" << TMath::Abs(mceepeak) << " ";
123	+	else mcjzb << "+ (id1==id2)*(id1==0)*" << TMath::Abs(mceepeak) << " ";
124	+
125	+	if(mcmmpeak>0) mcjzb << "- (id1==id2)*(id1==1)*" << TMath::Abs(mcmmpeak) << " ";
126	+	else mcjzb << "+ (id1==id2)*(id1==1)*" << TMath::Abs(mcmmpeak) << " ";
127	+
128	+	if(mcpeak>0) mcjzb << "- (id1!=id2)*" << TMath::Abs(mcpeak) << " ";
129	+	else mcjzb << "+ (id1!=id2)*" << TMath::Abs(mcpeak) << " ";
130	+
131	+	mcjzb << ")";
132	+
133	+	}
134	+
135		void make_special_obs_pred_mll_plot(string mcjzb, float jzbthreshold) {
136		float min=70.0;
137		float max=115.0;
#	Line 91 | Line 151 | void make_special_obs_pred_mll_plot(stri
151		smallerzeroS << "(" << mcjzb << "<-" << jzbthreshold << ")";
152		TCut smallerzero(smallerzeroS.str().c_str());
153
154	<	TH1F *RcorrJZBeemm     = allsamples.Draw("RcorrJZBeemm",       "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,data,luminosity);
155	<	THStack mcRcorrJZBeemm = allsamples.DrawStack("mcRcorrJZBeemm","mll",nbins,min,max, "m_{ll} [GeV}", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,mc,luminosity);
156	<	TH1F *LcorrJZBeemm     = allsamples.Draw("LcorrJZBeemm",       "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&smallerzero,data,luminosity);
157	<	TH1F *RcorrJZBem       = allsamples.Draw("RcorrJZBem",         "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&largerzero,data,luminosity);
158	<	TH1F *LcorrJZBem       = allsamples.Draw("LcorrJZBem",         "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&smallerzero,data,luminosity);
154	>	TH1F *RcorrJZBeemm     = allsamples.Draw("RcorrJZBeemm",       "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSSF&&cutnJets,data,luminosity);
155	>	THStack mcRcorrJZBeemm = allsamples.DrawStack("mcRcorrJZBeemm","mll",nbins,min,max, "m_{ll} [GeV}", "events", cutmass&&cutOSSF&&cutnJets,mc,luminosity);
156	>	TH1F *LcorrJZBeemm     = allsamples.Draw("LcorrJZBeemm",       "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSSF&&cutnJets,data,luminosity);
157	>	TH1F *RcorrJZBem       = allsamples.Draw("RcorrJZBem",         "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSOF&&cutnJets,data,luminosity);
158	>	TH1F *LcorrJZBem       = allsamples.Draw("LcorrJZBem",         "mll",nbins,min,max, "m_{ll} [GeV]", "events", cutmass&&cutOSOF&&cutnJets,data,luminosity);
159
160		TH1F *RcorrJZBSBem;
161		TH1F *LcorrJZBSBem;
#	Line 105 | Line 165 | void make_special_obs_pred_mll_plot(stri
165		//  TH1F *RcorrJZBeemmNoS;
166
167		if(PlottingSetup::RestrictToMassPeak) {
168	<	RcorrJZBSBem   = allsamples.Draw("RcorrJZBSBem",  "mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&largerzero,data, luminosity);
169	<	LcorrJZBSBem   = allsamples.Draw("LcorrJZBSBem",  "mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&smallerzero,data, luminosity);
170	<	RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm","mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&largerzero,data, luminosity);
171	<	LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm","mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&smallerzero,data, luminosity);
168	>	RcorrJZBSBem   = allsamples.Draw("RcorrJZBSBem",  "mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,data, luminosity);
169	>	LcorrJZBSBem   = allsamples.Draw("LcorrJZBSBem",  "mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,data, luminosity);
170	>	RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm","mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,data, luminosity);
171	>	LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm","mll",nbins,min,max, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,data, luminosity);
172		}
173
174		TH1F *Bpred = (TH1F*)LcorrJZBeemm->Clone("Bpred");
#	Line 471 | Line 531 | void do_kinematic_plots(string mcjzb, st
531		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);
532		stringstream jzbcut3;
533		jzbcut3 << "((is_data&&("<<datajzb<<")>50)||(!is_data&&("<<mcjzb<<")>50))";
534	<	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);
534	>	make_kin_plot("mll",jzbcut3.str(),(int)((mll_hi-mll_low)/5),mll_low,mll_hi,dolog,"m_{ll} [GeV]","mll_aboveJZB50",doPF,true);
535	>	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);
536
537		make_special_obs_pred_mll_plot(mcjzb,0);
538		make_special_obs_pred_mll_plot(mcjzb,50);
#	Line 857 | Line 918 | if you want to start from scratch (witho
918		return return_functions;
919		}
920
921	<	void do_prediction_plot(string jzb, TCanvas *globalcanvas, float sigma, float high, int use_data, bool overlay_signal = false,string subdir="" )
921	>	void do_prediction_plot(string jzb, TCanvas *globalcanvas, float high, int use_data, bool overlay_signal = false,string subdir="" )
922		{
862	–	// note: sigma is not used ATM
923		switch_overunderflow(true);
924		bool is_data=false;
925		bool use_signal=false;
#	Line 870 | Line 930 | void do_prediction_plot(string jzb, TCan
930		float low=0;
931		float hi=500;
932
873	–	stringstream largerzeroS;
874	–	largerzeroS << "("<<jzb<<">0)";
875	–	TCut largerzero(largerzeroS.str().c_str());
876	–	stringstream smallerzeroS;
877	–	smallerzeroS << "("<<jzb<<"<0)";
878	–	TCut smallerzero(smallerzeroS.str().c_str());
879	–
933		TH1F *blankback = new TH1F("blankback","blankback",int(high/10),0,high);
934	<	TH1F *RcorrJZBeemm   = allsamples.Draw("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
935	<	TH1F *LcorrJZBeemm   = allsamples.Draw("LcorrJZBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
936	<	TH1F *RcorrJZBem     = allsamples.Draw("RcorrJZBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
937	<	TH1F *LcorrJZBem     = allsamples.Draw("LcorrJZBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
934	>	TH1F *RcorrJZBeemm   = allsamples.Draw("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
935	>	TH1F *LcorrJZBeemm   = allsamples.Draw("LcorrJZBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
936	>	TH1F *RcorrJZBem     = allsamples.Draw("RcorrJZBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
937	>	TH1F *LcorrJZBem     = allsamples.Draw("LcorrJZBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
938
939		blankback->GetXaxis()->SetTitle(RcorrJZBeemm->GetXaxis()->GetTitle());
940		blankback->GetYaxis()->SetTitle(RcorrJZBeemm->GetYaxis()->GetTitle());
#	Line 898 | Line 951 | void do_prediction_plot(string jzb, TCan
951
952		//these are for the ratio
953
954	<	TH1F *JRcorrJZBeemm   = allsamples.Draw("JRcorrJZBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
955	<	TH1F *JLcorrJZBeemm   = allsamples.Draw("JLcorrJZBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
956	<	TH1F *JRcorrJZBem     = allsamples.Draw("JRcorrJZBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
957	<	TH1F *JLcorrJZBem     = allsamples.Draw("JLcorrJZBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
954	>	TH1F *JRcorrJZBeemm   = allsamples.Draw("JRcorrJZBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
955	>	TH1F *JLcorrJZBeemm   = allsamples.Draw("JLcorrJZBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
956	>	TH1F *JRcorrJZBem     = allsamples.Draw("JRcorrJZBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
957	>	TH1F *JLcorrJZBem     = allsamples.Draw("JLcorrJZBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
958
959		TH1F *JRcorrJZBSBem;
960		TH1F *JLcorrJZBSBem;
961		TH1F *JRcorrJZBSBeemm;
962		TH1F *JLcorrJZBSBeemm;
963
964	<	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);
964	>	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);
965
966
967		if(PlottingSetup::RestrictToMassPeak) {
968	<	RcorrJZBSBem   = allsamples.Draw("RcorrJZBSBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
969	<	LcorrJZBSBem   = allsamples.Draw("LcorrJZBSBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
970	<	RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
971	<	LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
968	>	RcorrJZBSBem   = allsamples.Draw("RcorrJZBSBem",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
969	>	LcorrJZBSBem   = allsamples.Draw("LcorrJZBSBem",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
970	>	RcorrJZBSBeemm = allsamples.Draw("RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
971	>	LcorrJZBSBeemm = allsamples.Draw("LcorrJZBSBeemm",("-"+jzb).c_str(),nbins,low,hi, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
972
973		//these are for the ratio
974	<	JRcorrJZBSBem   = allsamples.Draw("JRcorrJZBSBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
975	<	JLcorrJZBSBem   = allsamples.Draw("JLcorrJZBSBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
976	<	JRcorrJZBSBeemm = allsamples.Draw("JRcorrJZBSBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&largerzero,is_data, luminosity,use_signal);
977	<	JLcorrJZBSBeemm = allsamples.Draw("JLcorrJZBSBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets&&smallerzero,is_data, luminosity,use_signal);
974	>	JRcorrJZBSBem   = allsamples.Draw("JRcorrJZBSBem",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
975	>	JLcorrJZBSBem   = allsamples.Draw("JLcorrJZBSBem",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSOF&&cutnJets,is_data, luminosity,use_signal);
976	>	JRcorrJZBSBeemm = allsamples.Draw("JRcorrJZBSBeemm",jzb.c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
977	>	JLcorrJZBSBeemm = allsamples.Draw("JLcorrJZBSBeemm",("-"+jzb).c_str(),PlottingSetup::global_ratio_binning, "JZB [GeV]", "events", sidebandcut&&cutOSSF&&cutnJets,is_data, luminosity,use_signal);
978		}
979
980		TH1F *lm4RcorrJZBeemm;
981	<	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"));
981	>	if(overlay_signal || use_data == 2 || use_data == 1) lm4RcorrJZBeemm = allsamples.Draw("lm4RcorrJZBSBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,is_data, luminosity,allsamples.FindSample("LM"));
982
983		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- prediction changed.
984
#	Line 934 | Line 987 | void do_prediction_plot(string jzb, TCan
987
988		TH1F *Bpred = (TH1F*)LcorrJZBeemm->Clone("Bpred");
989		TH1F *JBpred = (TH1F*)JLcorrJZBeemm->Clone("Bpred");
990	+
991	+	TH1F *BpredSys = new TH1F("Bpredsys","Bpredsys",PlottingSetup::global_ratio_binning.size()-1,&PlottingSetup::global_ratio_binning[0]);
992	+	ClearHisto(BpredSys);
993	+
994		if(PlottingSetup::RestrictToMassPeak) {
995		Bpred->Add(RcorrJZBem,1.0/3.);
996		Bpred->Add(LcorrJZBem,-1.0/3.);
#	Line 956 | Line 1013 | void do_prediction_plot(string jzb, TCan
1013		JBpred->Add(JLcorrJZBSBem,-1.0/3.);
1014		JBpred->Add(JRcorrJZBSBeemm,1.0/3.);
1015		JBpred->Add(JLcorrJZBSBeemm,-1.0/3.);
1016	+
1017	+	//Systematics:
1018	+	AddSquared(BpredSys,JLcorrJZBeemm,zjetsestimateuncertONPEAK*zjetsestimateuncertONPEAK);
1019	+	AddSquared(BpredSys,JRcorrJZBem,emuncertONPEAK*emuncertONPEAK*(1.0/9));
1020	+	AddSquared(BpredSys,JLcorrJZBem,emuncertONPEAK*emuncertONPEAK*(1.0/9));
1021	+	AddSquared(BpredSys,JRcorrJZBSBem,emsidebanduncertONPEAK*emsidebanduncertONPEAK*(1.0/9));
1022	+	AddSquared(BpredSys,JLcorrJZBSBem,emsidebanduncertONPEAK*emsidebanduncertONPEAK*(1.0/9));
1023	+	AddSquared(BpredSys,JRcorrJZBSBeemm,eemmsidebanduncertONPEAK*eemmsidebanduncertONPEAK*(1.0/9));
1024	+	AddSquared(BpredSys,JLcorrJZBSBeemm,eemmsidebanduncertONPEAK*eemmsidebanduncertONPEAK*(1.0/9));
1025		} else {
1026		Bpred->Add(RcorrJZBem,1.0);
1027		Bpred->Add(LcorrJZBem,-1.0);
#	Line 965 | Line 1031 | void do_prediction_plot(string jzb, TCan
1031		//these are for the ratio
1032		JBpred->Add(JRcorrJZBem,1.0);
1033		JBpred->Add(JLcorrJZBem,-1.0);
1034	+
1035	+	//Systematics
1036	+	AddSquared(BpredSys,JLcorrJZBeemm,zjetsestimateuncertOFFPEAK*zjetsestimateuncertOFFPEAK);
1037	+	AddSquared(BpredSys,JRcorrJZBem,emuncertOFFPEAK*emuncertOFFPEAK);
1038	+	AddSquared(BpredSys,JLcorrJZBem,emuncertOFFPEAK*emuncertOFFPEAK);
1039	+
1040		}
1041
1042	<
1042	>	SQRT(BpredSys);
1043	>	BpredSys->Divide(JBpred);
1044	>
1045
1046		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak ---- prediction changed
1047		TH1F *Tpred = (TH1F*)RcorrJZBem->Clone("Bpred");
#	Line 1024 | Line 1098 | void do_prediction_plot(string jzb, TCan
1098		lm4RcorrJZBeemm->Draw("hist,same");
1099		legBpred->AddEntry(RcorrJZBeemm,"observed","p");
1100		legBpred->AddEntry(Bpred,"predicted","l");
1101	<	legBpred->AddEntry(analytical_function[1],"predicted fit","l");
1102	<	legBpred->AddEntry(analytical_function[2],"stat. uncert.","l");
1103	<	if ( overlay_signal ) legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1101	>	//    legBpred->AddEntry(analytical_function[1],"predicted fit","l");
1102	>	//    legBpred->AddEntry(analytical_function[2],"stat. uncert.","l");
1103	>	legBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1104		legBpred->Draw();
1105		DrawPrelim();
1106
#	Line 1065 | Line 1139 | void do_prediction_plot(string jzb, TCan
1139		speciallegBpred->AddEntry(RcorrJZBeemm,"Data","pl");
1140		speciallegBpred->AddEntry(Bpred,"Total background","l");
1141		speciallegBpred->AddEntry(jzbnegative,"JZB<0 (data)","f");
1142	<	speciallegBpred->AddEntry(sidebandsemu,"Sidebands/e#mu (data)","f");
1142	>	if(PlottingSetup::RestrictToMassPeak) speciallegBpred->AddEntry(sidebandsemu,"Sidebands/e#mu (data)","f");
1143	>	else speciallegBpred->AddEntry(sidebandsemu,"e#mu (data)","f");
1144		//    speciallegBpred->AddEntry(lm4RcorrJZBeemmC,"LM4","l");
1145		speciallegBpred->AddEntry(lm4RcorrJZBeemm,"LM4","l");
1146		speciallegBpred->Draw();
1147	<	save_with_ratio(JRcorrJZBeemm,JBpred,predcomppad,subdir+"Bpred_Data_____PredictionComposition",true,use_data!=1,"data/pred");
1147	>	save_with_ratio(JRcorrJZBeemm,JBpred,predcomppad,subdir+"Bpred_Data_____PredictionComposition",true,true,"data/pred",BpredSys);
1148
1149		TCanvas *specialcanv = new TCanvas("specialcanv","specialcanv");
1150	<	THStack kostack = allsamples.DrawStack("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,!is_data, luminosity,use_signal);
1150	>	specialcanv->SetLogy(1);
1151	>	//    THStack kostack = allsamples.DrawStack("RcorrJZBeemm",jzb.c_str(),nbins,low,hi, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,!is_data, luminosity,use_signal);
1152		blankback->Draw();
1153	<	kostack.Draw("same");
1153	>	//    kostack.Draw("same");
1154	>	predcomposition.Draw();
1155		Bpred->Draw("hist,same");
1156	<	analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1156	>	//analytical_function[0]->Draw("same"); analytical_function[1]->Draw("same");analytical_function[2]->Draw("same");
1157		RcorrJZBeemm->Draw("e1x0,same");//HAVE IT ON TOP!
1158		legBpred->Draw();
1159		DrawPrelim();
#	Line 1147 | Line 1224 | void do_prediction_plot(string jzb, TCan
1224		string ytitle("ratio");
1225		if ( use_data==1 ) ytitle = "data/pred";
1226		//save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,Bpredsaveas,true,use_data!=1,ytitle);
1227	<	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,subdir+Bpredsaveas,true,false,ytitle);//not extending the y range anymore up to 4
1227	>	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,subdir+Bpredsaveas,true,true,ytitle,BpredSys);//not extending the y range anymore up to 4
1228
1229
1230		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
1231	<	/// The part below is meaningless for the offpeak analysis (it's a comparison of the different estimates but there is but one estimate!)
1231	>	// The part below is meaningless for the offpeak analysis (it's a comparison of the different estimates but there is but one estimate!)
1232		if(PlottingSetup::RestrictToMassPeak) {
1233		TH1F *Bpredem = (TH1F*)LcorrJZBeemm->Clone("Bpredem");
1234		Bpredem->Add(RcorrJZBem);
#	Line 1225 | Line 1302 | void do_prediction_plot(string jzb, TCan
1302
1303		delete blankback;
1304
1305	+	delete BpredSys;
1306		if(PlottingSetup::RestrictToMassPeak) {
1307		delete RcorrJZBSBem;
1308		delete LcorrJZBSBem;
#	Line 1242 | Line 1320 | void do_prediction_plot(string jzb, TCan
1320
1321		void do_prediction_plots(string mcjzb, string datajzb, float DataSigma, float MCSigma, bool overlay_signal ) {
1322		TCanvas *globalcanvas = new TCanvas("globalcanvas","Prediction Canvas");
1323	<	do_prediction_plot(datajzb,globalcanvas,DataSigma,jzbHigh ,data,overlay_signal);
1323	>	do_prediction_plot(datajzb,globalcanvas,jzbHigh ,data,overlay_signal);
1324		if ( !PlottingSetup::Approved ) {
1325	<	do_prediction_plot(mcjzb,globalcanvas,MCSigma,jzbHigh ,mc,overlay_signal);
1326	<	do_prediction_plot(mcjzb,globalcanvas,MCSigma,jzbHigh ,mcwithsignal,overlay_signal);
1325	>	do_prediction_plot(mcjzb,globalcanvas,jzbHigh ,mc,overlay_signal);
1326	>	do_prediction_plot(mcjzb,globalcanvas,jzbHigh ,mcwithsignal,overlay_signal);
1327		} else {
1328		write_info(__FUNCTION__,"You set approved to true, therefore not producing prediction/observation plots for MC with and without signal.");
1329		}
#	Line 1680 | Line 1758 | void diboson_plots(string mcjzb, string
1758		dout << "Going to produce JZB plots" << endl;
1759		produce_stretched_jzb_plots(mcjzb,datajzb,ratio_binning);
1760		TCanvas *gloca = new TCanvas("gloca","gloca");
1683	–	float sigma=123456;
1761
1762		dout << "Going to produce prediction plots" << endl;
1763	<	do_prediction_plot(mcjzb, gloca, sigma, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do only MC plots, no signal
1764	<	do_prediction_plot(mcjzb, gloca, sigma, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do MC plots with signal
1763	>	do_prediction_plot(mcjzb, gloca, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do only MC plots, no signal
1764	>	do_prediction_plot(mcjzb, gloca, PlottingSetup::jzbHigh, 0, false,"Dibosons/Bpred/" ); // do MC plots with signal
1765		delete gloca;
1766
1767		dout << "Going to reset the cross section for diboson samples ... " << endl;
#	Line 2067 | Line 2144 | void draw_ttbar_and_zjets_shape(string m
2144		draw_ttbar_and_zjets_shape_for_one_configuration(mcjzb,datajzb,all_leptons,threejetswith30gev,true);
2145		}
2146
2147	<	void find_correction_factors(string &jzbvardata,string &jzbvarmc) {
2071	<	//first: colorful plots
2147	>	float find_one_correction_factor(string FindKeyword, TCut SpecialCut, string SaveAs) {
2148		TCanvas *cancorr = new TCanvas("cancorr","Canvas for Response Correction");
2149		cancorr->SetLogz();
2150		cancorr->SetRightMargin(0.13);
2151	<	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
2076	<	TCut zptforresponsepresentation("pt<600"&&cutmass&&cutOSSF&&"((sumJetPt[1]/pt)<5.0)");
2151	>	TCut zptforresponsepresentation("pt<600"&&cutmass&&cutOSSF&&"((sumJetPt[1]/pt)<5.0)"&&SpecialCut&&passtrig);
2152		if(PlottingSetup::DoBTag) zptforresponsepresentation=zptforresponsepresentation&&PlottingSetup::bTagRequirement;
2153		TH2F *niceresponseplotd = new TH2F("niceresponseplotd","",100,0,600,100,0,5);
2154	<	(allsamples.collection)[allsamples.FindSample("Data")[0]].events->Draw("sumJetPt[1]/pt:pt>>niceresponseplotd",zptforresponsepresentation);
2154	>	vector<int> SampleIndices=allsamples.FindSample(FindKeyword);
2155	>	for(int iSample=0;iSample<SampleIndices.size();iSample++) {
2156	>	dout << "   Response correction : Using sample " << (allsamples.collection)[SampleIndices[iSample]].filename << " for " << FindKeyword << endl;
2157	>	(allsamples.collection)[SampleIndices[iSample]].events->Draw("sumJetPt[1]/pt:pt>>+niceresponseplotd",zptforresponsepresentation*cutWeight);
2158	>	}
2159	>
2160		niceresponseplotd->SetStats(0);
2161		niceresponseplotd->GetXaxis()->SetTitle("Z p_{T} [GeV]");
2162		niceresponseplotd->GetYaxis()->SetTitle("Response");
#	Line 2087 | Line 2167 | void find_correction_factors(string &jzb
2167		profd->SetMarkerSize(DataMarkerSize);
2168		profd->Fit("pol0","","same,e1",100,400);
2169		DrawPrelim();
2170	<	TText* title = write_text(0.5,0.7,"Data");
2170	>	string stitle="Data";
2171	>	if(!Contains(FindKeyword,"Data")) stitle="MC";
2172	>	TText* title = write_text(0.5,0.7,stitle.c_str());
2173		title->SetTextAlign(12);
2174		title->Draw();
2175		TF1 *datapol=(TF1*)profd->GetFunction("pol0");
2176	<	float datacorrection=datapol->GetParameter(0);
2177	<	stringstream dataresstring;
2178	<	dataresstring<<"Response: "<<std::setprecision(2)<<100*datacorrection<<" %";
2179	<	TText* restitle = write_text(0.5,0.65,dataresstring.str());
2176	>	float correction=datapol->GetParameter(0);
2177	>	stringstream resstring;
2178	>	resstring<<"Response: "<<std::setprecision(2)<<100*correction<<" %";
2179	>	TText* restitle = write_text(0.5,0.65,resstring.str());
2180		restitle->SetTextAlign(12);
2181		restitle->SetTextSize(0.03);
2182		restitle->Draw();
2183	<	CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_Data");
2184	<
2185	<	TH2F *niceresponseplotm = new TH2F("niceresponseplotm","",100,0,600,100,0,5);
2186	<	(allsamples.collection)[allsamples.FindSample("DY")[0]].events->Draw("sumJetPt[1]/pt:pt>>niceresponseplotm",zptforresponsepresentation*cutWeight);
2187	<	niceresponseplotm->SetStats(0);
2188	<	niceresponseplotm->GetXaxis()->SetTitle("Z p_{T} [GeV]");
2189	<	niceresponseplotm->GetYaxis()->SetTitle("Response");
2108	<	niceresponseplotm->GetXaxis()->CenterTitle();
2109	<	niceresponseplotm->GetYaxis()->CenterTitle();
2110	<	niceresponseplotm->Draw("COLZ");
2111	<	(allsamples.collection)[allsamples.FindSample("DY")[0]].events->Draw("sumJetPt[1]/pt:pt",zptforresponsepresentation,"PROF,same");
2112	<	TProfile * profm = (TProfile*)niceresponseplotm->ProfileX();
2113	<	profm->SetMarkerSize(DataMarkerSize);
2114	<	profm->Fit("pol0","","same,e1",100,400);
2115	<	DrawMCPrelim();
2116	<	title = write_text(0.5,0.7,"MC simulation");
2117	<	title->SetTextAlign(12);
2118	<	title->Draw();
2119	<	TF1 *mcpol=(TF1*)profm->GetFunction("pol0");
2120	<	float mccorrection=mcpol->GetParameter(0);
2121	<	stringstream mcresstring;
2122	<	mcresstring<<"Response: "<<std::setprecision(2)<<100*mccorrection<<" %";
2123	<	TText* mcrestitle = write_text(0.5,0.65,mcresstring.str());
2124	<	mcrestitle->SetTextAlign(12);
2125	<	mcrestitle->SetTextSize(0.03);
2126	<	mcrestitle->Draw();
2127	<	CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_MC");
2183	>	CompleteSave(cancorr,"ResponseCorrection/Response_Correction_Illustration_New_"+SaveAs);
2184	>	delete cancorr;
2185	>	delete niceresponseplotd;
2186	>	return correction;
2187	>	}
2188	>
2189	>	void find_correction_factors(string &jzbvardata,string &jzbvarmc) {
2190
2191	+	dout << "Computing response corrections: " << endl;
2192	+	//Step 1 : Get results
2193	+	float datacorrection=find_one_correction_factor("Data","","Data");
2194	+	float mccorrection=find_one_correction_factor("DY","","MC");
2195	+
2196	+	float dataEEcorrection=find_one_correction_factor("Data","id1==0","Data_ee");
2197	+	float mcEEcorrection=find_one_correction_factor("DY","id1==0","MC_ee");
2198	+
2199	+	float dataMMcorrection=find_one_correction_factor("Data","id1==1","Data_mm");
2200	+	float mcMMcorrection=find_one_correction_factor("DY","id1==1","MC_mm");
2201	+
2202	+	cout << "Corrections : " << endl;
2203	+	cout << "   Data : " << datacorrection << endl;
2204	+	cout << "     ee (" << dataEEcorrection << ") , mm (" << dataMMcorrection << ")" << endl;
2205	+	cout << "   MC : " << mccorrection << endl;
2206	+	cout << "     ee (" << mcEEcorrection << ") , mm (" << mcMMcorrection << ")" << endl;
2207
2208	<	//Step 2: Getting the result
2131	<	//  TCut zptcutforresponse("pt>30&&pt<300&&TMath::Abs(91.2-mll)<20&&id1==id2&&(ch1*ch2<0)");
2208	>	//Step 2: Processing the result and making it into something useful :-)
2209		stringstream jzbvardatas;
2210	<	if(datacorrection>1) jzbvardatas<<"(jzb[1]-"<<datacorrection-1<<"*pt)";
2211	<	if(datacorrection<1) jzbvardatas<<"(jzb[1]+"<<1-datacorrection<<"*pt)";
2210	>	jzbvardatas << "(";
2211	>
2212	>	if(dataEEcorrection>=1) jzbvardatas<<"((id1==0&&id1==id2)*(jzb[1]-" << dataEEcorrection-1 << "*pt))";
2213	>	if(dataEEcorrection<1)  jzbvardatas<<"((id1==0&&id1==id2)*(jzb[1]+" << 1-dataEEcorrection << "*pt))";
2214	>
2215	>	if(dataMMcorrection>=1) jzbvardatas<<"+((id1==1&&id1==id2)*(jzb[1]-" << dataMMcorrection-1 << "*pt))";
2216	>	if(dataMMcorrection<1)  jzbvardatas<<"+((id1==1&&id1==id2)*(jzb[1]+" << 1-dataMMcorrection << "*pt))";
2217	>
2218	>	float averagecorrection=(dataMMcorrection+dataEEcorrection)/2.0;
2219	>
2220	>	if(datacorrection>=1) jzbvardatas<<"+((id1!=id2)*(jzb[1]-" << datacorrection-1 << "*pt))";
2221	>	if(datacorrection<1) jzbvardatas<<"+((id1!=id2)*(jzb[1]+" << 1-datacorrection << "*pt))";
2222	>
2223	>	jzbvardatas << ")";
2224		jzbvardata=jzbvardatas.str();
2225	+
2226		stringstream jzbvarmcs;
2227	<	if(mccorrection>1) jzbvarmcs<<"(jzb[1]-"<<mccorrection-1<<"*pt)";
2228	<	if(mccorrection<1) jzbvarmcs<<"(jzb[1]+"<<1-mccorrection<<"*pt)";
2227	>	jzbvarmcs << "(";
2228	>
2229	>	if(mcEEcorrection>=1) jzbvarmcs<<"((id1==0&&id1==id2)*(jzb[1]-" << mcEEcorrection-1 << "*pt))";
2230	>	if(mcEEcorrection<1)  jzbvarmcs<<"((id1==0&&id1==id2)*(jzb[1]+" << 1-mcEEcorrection << "*pt))";
2231	>
2232	>	if(mcMMcorrection>=1) jzbvarmcs<<"+((id1==1&&id1==id2)*(jzb[1]-" << mcMMcorrection-1 << "*pt))";
2233	>	if(mcMMcorrection<1)  jzbvarmcs<<"+((id1==1&&id1==id2)*(jzb[1]+" << 1-mcMMcorrection << "*pt))";
2234	>
2235	>	float averagemccorrection=(mcMMcorrection+mcEEcorrection)/2.0;
2236	>
2237	>	if(mccorrection>=1) jzbvarmcs<<"+((id1!=id2)*(jzb[1]-" << mccorrection-1 << "*pt))";
2238	>	if(mccorrection<1) jzbvarmcs<<"+((id1!=id2)*(jzb[1]+" << 1-mccorrection << "*pt))";
2239	>
2240	>	jzbvarmcs << ")";
2241		jzbvarmc=jzbvarmcs.str();
2242	+
2243		dout << "JZB Z pt correction summary : " << endl;
2244		dout << "  Data: The response is " << datacorrection << "  --> jzb variable is now : " << jzbvardata << endl;
2245		dout << "  MC  : The response is " << mccorrection << "  --> jzb variable is now : " << jzbvarmc << endl;
2246	+
2247		}
2248
2249		void pick_up_events(string cut) {
#	Line 2402 | Line 2506 | void ttbar_sidebands_comparison(string m
2506		tcan->SetLogy(0);
2507		rightofzp->Divide(rightsfzp);
2508		rightofzp->GetXaxis()->SetRangeUser(0.0,binning[binning.size()-1]);
2509	<	rightofzp->GetYaxis()->SetRangeUser(0.0,2.0);
2509	>	rightofzp->GetYaxis()->SetRangeUser(0.0,2.5);
2510		rightofzp->GetYaxis()->SetTitle("#deltaJZB ratio");
2511		rightofzp->Draw();
2512		if(PlottingSetup::RestrictToMassPeak) {
#	Line 2504 | Line 2608 | void zjets_prediction_comparison(string
2608		cutWeight="1.0";
2609		*/
2610		string mcjzb = mcjzbWithPU; // this is with PURW, if you want without it you have to uncomment the part above (and comment out this line)
2611	<	float sbg_min=0.;
2612	<	float sbg_max=100.;
2613	<	int sbg_nbins=5;
2611	>
2612	>	vector<float> binning;
2613	>	binning.push_back(0);
2614	>	binning.push_back(20);
2615	>	binning.push_back(40);
2616	>	binning.push_back(60);
2617	>	binning.push_back(80);
2618	>	binning.push_back(100);
2619	>	//  float sbg_min=0.;
2620	>	//  float sbg_max=100.;
2621	>	//  int sbg_nbins=5;
2622		float simulatedlumi = luminosity;//in pb please - adjust to your likings
2623
2624		TCut kPos((mcjzb+">0").c_str());
#	Line 2514 | Line 2626 | void zjets_prediction_comparison(string
2626		string var( "abs("+mcjzb+")" );
2627
2628		TCut kcut(cutmass&&cutOSSF&&cutnJets);
2629	<	TH1F *hJZBpos = systsamples.Draw("hJZBpos",var,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",kcut&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
2630	<	TH1F *hJZBneg = systsamples.Draw("hJZBneg",var,sbg_nbins,sbg_min,sbg_max, "JZB [GeV]", "events",kcut&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
2629	>	TH1F *hJZBpos = systsamples.Draw("hJZBpos",var,binning, "JZB [GeV]", "events",kcut&&kPos,mc,simulatedlumi,systsamples.FindSample("/DY"));
2630	>	TH1F *hJZBneg = systsamples.Draw("hJZBneg",var,binning, "JZB [GeV]", "events",kcut&&kNeg,mc,simulatedlumi,systsamples.FindSample("/DY"));
2631		hJZBpos->SetLineColor(kBlack);
2632		hJZBneg->SetLineColor(kRed);
2633
2634	<
2634	>	hJZBpos->SetMinimum(1.0);
2635		hJZBpos->Draw("e1");
2636		hJZBneg->Draw("same,hist");
2637		hJZBpos->Draw("same,e1"); // So it's on top...
#	Line 2534 | Line 2646 | void zjets_prediction_comparison(string
2646		TH1F* hratio = (TH1F*)hJZBpos->Clone("hratio");
2647		hratio->Divide(hJZBneg);
2648
2649	+	for(int i=1;i<=hJZBpos->GetNbinsX();i++) {
2650	+	cout << "Positive: " << hJZBpos->GetBinContent(i) << "   vs    Negative : " << hJZBneg->GetBinContent(i) << endl;
2651	+	}
2652	+
2653		zcan->SetLogy(0);
2654		hratio->GetYaxis()->SetRangeUser(0,2.5);
2655		hratio->GetYaxis()->SetTitle("Observed/Predicted");
2656		hratio->Draw("e1");
2657
2658	<	TLine *top = new TLine(sbg_min,1.25,sbg_max,1.25);
2659	<	TLine *center = new TLine(sbg_min,1.0,sbg_max,1.0);
2660	<	TLine *bottom = new TLine(sbg_min,0.75,sbg_max,0.75);
2658	>	TLine *top = new TLine(binning[0],1.25,binning[binning.size()-1],1.25);
2659	>	TLine *center = new TLine(binning[0],1.0,binning[binning.size()-1],1.0);
2660	>	TLine *bottom = new TLine(binning[0],0.75,binning[binning.size()-1],0.75);
2661
2662
2663		top->SetLineColor(kBlue);top->SetLineStyle(2);
#	Line 2583 | Line 2699 | void sideband_assessment(string datajzb,
2699		tout << "\\begin{tabular}{l|cc}" << endl;
2700		tout << "\\hline" << endl;
2701		tout << "& {\\OFZP} & {\\OFSB} \\\\\\hline" << endl;
2702	<	tout << "\\#(events) & "<<OFSB<<" & "<<OFZP<<"\\\\ \\hline" << endl;
2702	>	tout << "\\#(events) & "<<OFZP<<" & "<<OFSB<<"\\\\ \\hline" << endl;
2703		tout << "\\end{tabular}" << endl;
2704		tout << "\\end{center}" << endl;
2705		tout << "\\end{table}" << endl;
#	Line 2906 | Line 3022 | void qcd_plots(string datajzb, string mc
3022		//3rd last argument: do special bpred ratio, 2nd last argument: extended range!, last: y-axis title
3023		string ytitle("ratio");
3024		if ( use_data==1 ) ytitle = "data/pred";
3025	<	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,"QCD/Bpred",true,use_data!=1,ytitle);
3025	>	save_with_ratio(JRcorrJZBeemm,JBpred,kinpad,"QCD/Bpred",true,false,ytitle);
3026
3027		TH1F *allevents = qcdsamples.Draw("allevents","pfJetGoodNum",1,0,100, "internal code", "events", "" ,mc, luminosity);
3028		TH1F *ossf = qcdsamples.Draw("ossf","pfJetGoodNum",1,0,100, "internal code", "events", cutOSSF ,mc, luminosity);

Diff Legend

–	Removed lines
+	Added lines
<	Changed lines
>	Changed lines