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Comparing UserCode/cbrown/AnalysisFramework/Plotting/Modules/Systematics.C (file contents):
Revision 1.23 by pablom, Wed Aug 31 10:21:17 2011 UTC vs.
Revision 1.55 by buchmann, Thu Nov 24 08:15:39 2011 UTC

#	Line 1 | Line 1
1		#include <iostream>
2		#include <vector>
3		#include <sys/stat.h>
4	+	#include <algorithm>
5	+	#include <cmath>
6
7		#include <TMath.h>
8		#include <TColor.h>
#	Line 83 | Line 85 | Double_t Interpolate(Double_t x, TH1 *hi
85
86		//____________________________________________________________________________________
87		// Plotting with all contributions, i.e. sidebands, peak, osof,ossf ... (for a systematic)
88	<	float allcontributionsplot(TTree* events, TCut kBaseCut, TCut kMassCut, TCut kSidebandCut, TCut JZBPosCut, TCut JZBNegCut) {
88	>	float allcontributionsplot(TTree* events, TCut kBaseCut, TCut kMassCut, TCut kSidebandCut, TCut JZBPosCut, TCut JZBNegCut, int flipped) {
89		iplot++;
90		int count=iplot;
91	+	string locmcjzbexpression=mcjzbexpression;
92		// Define new histogram
93		string hname=GetNumericHistoName();
94		TH1F* hossfp = new TH1F(hname.c_str(),hname.c_str(),1,-14000,14000);
95	<	events->Draw(TString(mcjzbexpression)+">>"+TString(hname),kBaseCut&&kMassCut&&JZBPosCut&&cutOSSF,"goff");
95	>	events->Draw("("+TString(locmcjzbexpression)+")>>"+TString(hname),kBaseCut&&kMassCut&&JZBPosCut&&cutOSSF,"goff");
96		hname=GetNumericHistoName();
97		TH1F* hossfn = new TH1F(hname.c_str(),hname.c_str(),1,-14000,14000);
98	<	events->Draw(TString(mcjzbexpression)+">>"+TString(hname),kBaseCut&&kMassCut&&JZBNegCut&&cutOSSF,"goff");
98	>	events->Draw("("+TString(locmcjzbexpression)+")>>"+TString(hname),kBaseCut&&kMassCut&&JZBNegCut&&cutOSSF,"goff");
99
100		hname=GetNumericHistoName();
101		TH1F* hosofp = new TH1F(hname.c_str(),hname.c_str(),1,-14000,14000);
102	<	events->Draw(TString(mcjzbexpression)+">>"+TString(hname),kBaseCut&&kMassCut&&JZBPosCut&&cutOSOF,"goff");
102	>	events->Draw("("+TString(locmcjzbexpression)+")>>"+TString(hname),kBaseCut&&kMassCut&&JZBPosCut&&cutOSOF,"goff");
103		hname=GetNumericHistoName();
104		TH1F* hosofn = new TH1F(hname.c_str(),hname.c_str(),1,-14000,14000);
105	<	events->Draw(TString(mcjzbexpression)+">>"+TString(hname),kBaseCut&&kMassCut&&JZBNegCut&&cutOSOF,"goff");
103	<
104	<	hname=GetNumericHistoName();
105	<	TH1F* sbhossfp = new TH1F(hname.c_str(),hname.c_str(),1,-14000,14000);
106	<	events->Draw(TString(mcjzbexpression)+">>"+TString(hname),kBaseCut&&kSidebandCut&&JZBPosCut&&cutOSSF,"goff");
107	<	hname=GetNumericHistoName();
108	<	TH1F* sbhossfn = new TH1F(hname.c_str(),hname.c_str(),1,-14000,14000);
109	<	events->Draw(TString(mcjzbexpression)+">>"+TString(hname),kBaseCut&&kSidebandCut&&JZBNegCut&&cutOSSF,"goff");
110	<
111	<	hname=GetNumericHistoName();
112	<	TH1F* sbhosofp = new TH1F(hname.c_str(),hname.c_str(),1,-14000,14000);
113	<	events->Draw(TString(mcjzbexpression)+">>"+TString(hname),kBaseCut&&kSidebandCut&&JZBPosCut&&cutOSOF,"goff");
114	<	hname=GetNumericHistoName();
115	<	TH1F* sbhosofn = new TH1F(hname.c_str(),hname.c_str(),1,-14000,14000);
116	<	events->Draw(TString(mcjzbexpression)+">>"+TString(hname),kBaseCut&&kSidebandCut&&JZBNegCut&&cutOSOF,"goff");
105	>	events->Draw("("+TString(locmcjzbexpression)+")>>"+TString(hname),kBaseCut&&kMassCut&&JZBNegCut&&cutOSOF,"goff");
106
107	<	float obs = hossfp->Integral();
108	<	float pred= hossfn->Integral() + (1.0/3)*( hosofp->Integral() - hosofn->Integral() + sbhossfp->Integral() - sbhossfn->Integral() + sbhosofp->Integral() - sbhosofn->Integral());
107	>	float obs=0;
108	>	float pred=0;
109	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
110	>	if(PlottingSetup::RestrictToMassPeak) {
111	>	hname=GetNumericHistoName();
112	>	TH1F* sbhossfp = new TH1F(hname.c_str(),hname.c_str(),1,-14000,14000);
113	>	events->Draw("("+TString(locmcjzbexpression)+")>>"+TString(hname),kBaseCut&&kSidebandCut&&JZBPosCut&&cutOSSF,"goff");
114	>	hname=GetNumericHistoName();
115	>	TH1F* sbhossfn = new TH1F(hname.c_str(),hname.c_str(),1,-14000,14000);
116	>	events->Draw("("+TString(locmcjzbexpression)+")>>"+TString(hname),kBaseCut&&kSidebandCut&&JZBNegCut&&cutOSSF,"goff");
117	>
118	>	hname=GetNumericHistoName();
119	>	TH1F* sbhosofp = new TH1F(hname.c_str(),hname.c_str(),1,-14000,14000);
120	>	events->Draw("("+TString(locmcjzbexpression)+")>>"+TString(hname),kBaseCut&&kSidebandCut&&JZBPosCut&&cutOSOF,"goff");
121	>	hname=GetNumericHistoName();
122	>	TH1F* sbhosofn = new TH1F(hname.c_str(),hname.c_str(),1,-14000,14000);
123	>	events->Draw("("+TString(locmcjzbexpression)+")>>"+TString(hname),kBaseCut&&kSidebandCut&&JZBNegCut&&cutOSOF,"goff");
124	>
125	>	obs = hossfp->Integral();
126	>	pred= hossfn->Integral() + (1.0/3)*( hosofp->Integral() - hosofn->Integral() + sbhossfp->Integral() - sbhossfn->Integral() + sbhosofp->Integral() - sbhosofn->Integral());
127	>
128	>	if(flipped>0) {
129	>	obs = hossfn->Integral();
130	>	pred= hossfp->Integral() - (1.0/3)*( hosofp->Integral() - hosofn->Integral() + sbhossfp->Integral() - sbhossfn->Integral() + sbhosofp->Integral() - sbhosofn->Integral());
131	>	}
132	>	delete sbhossfp,sbhossfn,sbhosofp,sbhosofn;
133	>	} else {
134	>	obs = hossfp->Integral();
135	>	pred= hossfn->Integral() + (hosofp->Integral() - hosofn->Integral());
136	>	if(flipped>0) {
137	>	obs = hossfn->Integral();
138	>	pred= hossfp->Integral() - (hosofp->Integral() - hosofn->Integral());;
139	>	}
140	>	}
141
142		delete hossfp,hossfn,hosofp,hosofn;
122	–	delete sbhossfp,sbhossfn,sbhosofp,sbhosofn;
143		return obs-pred;
144		}
145
146
147		//____________________________________________________________________________________
148		// Efficiency plot
149	<	TH1F* plotEff(TTree* events, TCut kbase, TString informalname) {
149	>	TH1F* plotEff(TTree* events, TCut kbase, TString informalname, int flipped) {
150		iplot++;
151		int count=iplot;
152	+	iplot++;
153	+	int count2=iplot;
154		// Define new histogram
155		char hname[30]; sprintf(hname,"hJzbEff%d",count);
156	<	TH1F* hJzbEff = new TH1F(hname,"JZB selection efficiency ; JZB (GeV/c); Efficiency",
157	<	nBins,jzbMin,jzbMax);
156	>	char hname2[30]; sprintf(hname2,"hJzbEff%d",count2);
157	>	TH1F* hJzbEff = new TH1F(hname,"JZB selection efficiency ; JZB [GeV]; Efficiency",nBins,jzbMin,jzbMax);
158	>	TH1F* hJzbEff2= new TH1F(hname2,"JZB selection efficiency ; JZB [GeV]; Efficiency",1,-14000,14000);
159		Float_t step = (jzbMax-jzbMin)/static_cast<Float_t>(nBins);
160	<
161	<	events->Draw(mcjzbexpression.c_str(),"genJZB>-400"&&kbase,"goff");
162	<	Float_t maxEff = events->GetSelectedRows();
160	>
161	>	if(flipped==0) events->Draw((mcjzbexpression+">>"+(string)hname2).c_str(),("genJZB>-400"&&kbase),"goff");
162	>	else events->Draw(("(-"+mcjzbexpression+")>>"+(string)hname2).c_str(),("genJZB>-400"&&kbase),"goff");
163	>	Float_t maxEff = hJzbEff2->Integral();
164		if(verbose>0) dout << hname << " (" << informalname <<") " << maxEff <<  std::endl;
165
166		if(verbose>0) dout <<  "JZB max = " << jzbMax << std::endl;
#	Line 144 | Line 168 | TH1F* plotEff(TTree* events, TCut kbase,
168		char cut[256];
169		for ( Int_t iBin = 0; iBin<nBins; ++iBin ) {
170		sprintf(cut,"genJZB>%3f",jzbMin+iBin*step);
171	<	events->Draw(mcjzbexpression.c_str(),TCut(cut)&&kbase,"goff");
172	<	Float_t eff = static_cast<Float_t>(events->GetSelectedRows())/maxEff;
173	<	//     dout << "COUCOU " << __LINE__ << std::endl;
171	>	if(flipped==0) events->Draw((mcjzbexpression+">>"+(string)hname2).c_str(),(TCut(cut)&&kbase),"goff");
172	>	if(flipped>0) events->Draw(("(-"+mcjzbexpression+")>>"+(string)hname2).c_str(),(TCut(cut)&&kbase),"goff");
173	>	Float_t eff = static_cast<Float_t>(hJzbEff2->Integral())/maxEff;
174		hJzbEff->SetBinContent(iBin+1,eff);
175		hJzbEff->SetBinError(iBin+1,TMath::Sqrt(eff*(1-eff)/maxEff));
176		}
177	+	delete hJzbEff2;
178		return hJzbEff;
154	–
155	–
179		}
180
181
182	+
183		//________________________________________________________________________________________
184		// Master Formula
185		void master_formula(std::vector<float> eff, float &errHi, float &errLo) {
#	Line 188 | Line 212 | void master_formula(std::vector<float> e
212
213		//________________________________________________________________________________________
214		// Get normalization factor for the PDFs
215	<	float get_norm_pdf_factor(TTree *events, int k) {
215	>	float get_norm_pdf_factor(TTree *events, int k, string addcut) {
216
217	<	TH1F *haux = new TH1F("haux", "", 1000, 0, 15);
217	>	TH1F *haux = new TH1F("haux", "", 10000, 0, 5);
218		char nameVar[20];
219		sprintf(nameVar, "pdfW[%d]", k);
220	<	events->Project("haux", nameVar);
221	<	float factor = haux->Integral();
220	>	events->Project("haux", nameVar, addcut.c_str());
221	>	float thisW = haux->Integral();
222	>	events->Project("haux", "pdfW[0]");
223	>	float normW = haux->Integral();
224	>
225	>	float factor=thisW/normW;
226
227		delete haux;
228
#	Line 206 | Line 234 | float get_norm_pdf_factor(TTree *events,
234
235		//________________________________________________________________________________________
236		// Pile-up efficiency
237	<	float pileup(TTree *events, bool requireZ, string informalname, string addcut="",Float_t myJzbMax = 140. ) {
237	>	float pileup(TTree *events, bool requireZ, string informalname, int flipped, string addcut="",Float_t myJzbMax = 140. ) {
238		nBins = 16;
239		jzbMax = myJzbMax;
240
241		// Acceptance cuts
242	<	TCut kbase("abs(genMll-91.2)<20&&genNjets>2&&genZPt>0&&abs(mll-91.2)<20&&((id1+1)*(id2+1)*ch1*ch2)!=-2");
242	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
243	>	TCut kbase(PlottingSetup::genMassCut&&"genNjets>2&&genZPt>0"&&cutmass&&cutOSSF);
244		if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
245
246	<	if(requireZ) kbase=kbase&&"TMath::Abs(genMID)==23";
247	<	TH1F* hLM4 = plotEff(events,kbase,informalname);
246	>	if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
247	>	TH1F* hLM4 = plotEff(events,kbase,informalname,flipped);
248		hLM4->SetMinimum(0.);
249
250		// Nominal function
#	Line 226 | Line 255 | float pileup(TTree *events, bool require
255
256		// Pimped-up function
257		TF1* funcUp = (TF1*)func->Clone();
258	<	funcUp->SetParameter( 0., func->GetParameter(0)/1.1); // 10% systematic error (up in sigma => 0.1 in erfc)
258	>	funcUp->SetParameter( 0, func->GetParameter(0)/1.1); // 10% systematic error (up in sigma => 0.1 in erfc)
259		if(!automatized) dout << "  PU: " << funcUp->Eval(jzbSel) << " " <<  func->Eval(jzbSel)
260		<< "(" << (funcUp->Eval(jzbSel)-func->Eval(jzbSel))/func->Eval(jzbSel)*100. << "%)" << std::endl;
261
#	Line 236 | Line 265 | float pileup(TTree *events, bool require
265
266		//____________________________________________________________________________________
267		// Effect of peak shifting
268	<	void PeakError(TTree *events,float &result, string mcjzb, float peakerr,string addcut="") {
268	>	void PeakError(TTree *events,float &result, string mcjzb, float peakerr,int flipped,string addcut="") {
269	>	//Note: the cut used here is something like (JZBEXPRESSION+(peakerr)>50) without all the other cuts, to increase statistics (particularly for scans)
270		TString peakup("("+TString(mcjzb)+"+"+TString(any2string(TMath::Abs(peakerr)))+")"+geq_or_leq()+TString(any2string(jzbSel)));
271		TString peakdown("("+TString(mcjzb)+"-"+TString(any2string(TMath::Abs(peakerr)))+")"+geq_or_leq()+TString(any2string(jzbSel)));
272		TString peakcentral("("+TString(mcjzb)+")"+geq_or_leq()+TString(any2string(jzbSel)));
273		TString npeakup("("+TString(mcjzb)+"+"+TString(any2string(TMath::Abs(peakerr)))+")"+ngeq_or_leq()+"-"+TString(any2string(jzbSel)));
274		TString npeakdown("("+TString(mcjzb)+"-"+TString(any2string(TMath::Abs(peakerr)))+")"+ngeq_or_leq()+"-"+TString(any2string(jzbSel)));
275		TString npeakcentral("("+TString(mcjzb)+")"+ngeq_or_leq()+"-"+TString(any2string(jzbSel)));
246	–
276		nBins = 1;
277		string informalname="PeakErrorCalculation";
278		float resup,resdown,rescent;
#	Line 260 | Line 289 | void PeakError(TTree *events,float &resu
289		negcut=npeakup;
290		}
291		float res;
292	<	if(addcut=="") res=allcontributionsplot(events,cutnJets,cutmass,sidebandcut,poscut.c_str(),negcut.c_str());
293	<	else res=allcontributionsplot(events,cutnJets&&addcut.c_str(),cutmass,sidebandcut,poscut.c_str(),negcut.c_str());
292	>	if(addcut=="") res=allcontributionsplot(events,cutnJets,cutmass,sidebandcut,poscut.c_str(),negcut.c_str(),flipped);
293	>	else res=allcontributionsplot(events,cutnJets&&addcut.c_str(),cutmass,sidebandcut,poscut.c_str(),negcut.c_str(),flipped);
294		if(i==0) rescent=res;
295		else if(i==1) resdown=res;
296		else if(i==2) resup=res;
297		}
298	<	if(TMath::Abs(rescent-resup)>TMath::Abs(rescent-resdown)) result=(TMath::Abs(rescent-resup)/rescent);
299	<	else result=(TMath::Abs(rescent-resdown)/rescent);
298	>	if(TMath::Abs(rescent-resup)>TMath::Abs(rescent-resdown)) result=(TMath::Abs(rescent-resup)/(float)rescent);
299	>	else result=(TMath::Abs(rescent-resdown)/(float)rescent);
300	>	if(!automatized) cout << "    " << result << endl;
301	>	}
302	>
303	>
304	>	void  MCPartialefficiency(TTree *events,float &result, float &resulterr,int flipped, string mcjzb,bool requireZ,int Neventsinfile, string addcut="", int k = 0, int type = 0) {
305	>	if(!events) {
306	>	write_error(__FUNCTION__,"Tree passed for efficiency calculation is invalid!");
307	>	result=0;resulterr=0;
308	>	return;
309	>	}
310	>
311	>	char jzbSelStr[256]; sprintf(jzbSelStr,"%f",jzbSel);
312	>	char metSel[256]; sprintf(metSel, "met[4] > %f", jzbSel);
313	>	string metSelection(metSel);
314	>	// All acceptance cuts at gen. level
315	>	//TCut kbase("abs(genMll-91.2)<20&&genNjets>2&&genZPt>0&&genJZB"+geq_or_leq()+TString(jzbSelStr)+"&&genId1==-genId2");
316	>	TCut kbase("");
317	>	if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
318	>	if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
319	>	// Corresponding reco. cuts
320	>
321	>	TCut acceptance("genPt2 != 0");
322	>	TCut massId(cutmass&&cutOSSF);
323	>	TCut njets(cutnJets);
324	>	TCut jzbp;
325	>	TCut jzbn;
326	>	TCut met(("pfJetGoodNum > 1 && abs(mll-91.2) < 10.0 && id1 == id2 &&" + metSelection).c_str());
327	>	if(flipped==0) {
328	>	jzbp=TCut((TString(mcjzb)+geq_or_leq()+TString(jzbSelStr)));
329	>	jzbn=TCut((TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr)));
330	>	} else {
331	>	jzbp=TCut(TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr));
332	>	jzbn=TCut(TString(mcjzb)+geq_or_leq()+TString(jzbSelStr));
333	>	}
334	>	float ntotal = events->Draw("pt1", addcut.c_str(), "goff");
335	>	TCut theCut;
336	>	switch(type) {
337	>	case 1:
338	>	theCut = kbase+acceptance;
339	>	break;
340	>	case 2:
341	>	theCut = kbase+massId;
342	>	break;
343	>	case 3:
344	>	theCut = kbase+massId+njets;
345	>	break;
346	>	case 4:
347	>	theCut = kbase+massId+njets+jzbn;
348	>	break;
349	>	case 5:
350	>	theCut = kbase + met;
351	>	break;
352	>	default:
353	>	theCut = kbase+massId+njets+jzbn;
354	>	break;
355	>	}
356	>
357	>	string stheCut(theCut);
358	>	char var[20];
359	>	sprintf(var, "pdfW[%d]", k);
360	>
361	>	string svar(var);
362	>	string newtheCut;
363	>	if(k>0) newtheCut = "(" + stheCut + ")*" + svar;
364	>	else newtheCut = "(" + stheCut + ")"; // for k==0 or even k==-1 we don't need to evaluate PDFs
365	>
366	>	TH1F *effh= new TH1F("effh","effh",1,-14000,14000);
367	>	if(k>=0) events->Draw((mcjzbexpression+">>effh").c_str(), newtheCut.c_str(),"goff");
368	>	else events->Draw((mcjzbexpression+">>effh").c_str(), theCut,"goff");
369	>	Float_t sel = effh->Integral();
370	>	Float_t nsel=0;
371	>	//Corrections due to normalization in the PDF. This has to be applied as well to the number of events in a file if the definition changes at some point.
372	>	float normFactor = 1;
373	>	if(k>=0) get_norm_pdf_factor(events, k, addcut);
374	>	sel = sel/normFactor;
375	>
376	>	result=(sel)/ntotal;
377	>	resulterr=TMath::Sqrt(sel/ntotal*(1+sel/ntotal)/ntotal);
378	>
379	>	delete effh;
380		}
381
382		//____________________________________________________________________________________
383		// Total selection efficiency (MC)
384	<	void MCefficiency(TTree *events,float &result, float &resulterr,string mcjzb,bool requireZ,int Neventsinfile, string addcut="", int k = 0) {
384	>	//returns the efficiency WITHOUT signal contamination, and the result and resulterr contain the result and the corresponding error
385	>	Value MCefficiency(TTree *events,float &result, float &resulterr, int flipped, string mcjzb,bool requireZ,int Neventsinfile, string addcut="", int k = 0) {
386	>	if(!events) {
387	>	write_error(__FUNCTION__,"Tree passed for efficiency calculation is invalid!");
388	>	result=0;
389	>	resulterr=0;
390	>	return Value(0,0);
391	>	}
392
393		char jzbSelStr[256]; sprintf(jzbSelStr,"%f",jzbSel);
394		// All acceptance cuts at gen. level
395		//TCut kbase("abs(genMll-91.2)<20&&genNjets>2&&genZPt>0&&genJZB"+geq_or_leq()+TString(jzbSelStr)+"&&genId1==-genId2");
396		TCut kbase("");
397	<	if(requireZ) kbase=kbase&&"TMath::Abs(genMID)==23";
397	>
398	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
399	>	if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
400		if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
401		// Corresponding reco. cuts
402	<	TCut ksel("pfJetGoodNum>2&&abs(mll-91.2)<20&&id1==id2&&"+TString(mcjzb)+geq_or_leq()+TString(jzbSelStr));
403	<	TCut ksel2("pfJetGoodNum>2&&abs(mll-91.2)<20&&id1==id2&&"+TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr));
402	>
403	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
404	>	TCut ksel;//("pfJetGoodNum>2"&&cutmass&&"id1==id2&&"+TString(mcjzb)+geq_or_leq()+TString(jzbSelStr));
405	>	TCut ksel2;//("pfJetGoodNum>2"&&cutmass&&"id1==id2&&"+TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr));
406	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
407	>	if(PlottingSetup::RestrictToMassPeak||!ConsiderSignalContaminationForLimits) {
408	>	ksel=TCut("pfJetGoodNum>2"&&cutmass&&"id1==id2&&"+TString(mcjzb)+geq_or_leq()+TString(jzbSelStr));
409	>	ksel2=TCut("pfJetGoodNum>2"&&cutmass&&"id1==id2&&"+TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr));
410	>	if(flipped>0) {
411	>	ksel=TCut("pfJetGoodNum>2"&&cutmass&&"id1==id2&&"+TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr));
412	>	ksel2=TCut("pfJetGoodNum>2"&&cutmass&&"id1==id2&&"+TString(mcjzb)+geq_or_leq()+TString(jzbSelStr));
413	>	}
414	>	} else {
415	>	//for off peak analysis we don't use the OSSF condition here yet so we can recycle these two cuts for the em condition!
416	>	ksel=TCut("pfJetGoodNum>2"&&cutmass&&(TString(mcjzb)+geq_or_leq()+TString(jzbSelStr)));
417	>	ksel2=TCut("pfJetGoodNum>2"&&cutmass&&(TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr)));
418	>	if(flipped>0) {
419	>	ksel=TCut("pfJetGoodNum>2"&&cutmass&&(TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr)));
420	>	ksel2=TCut("pfJetGoodNum>2"&&cutmass&&(TString(mcjzb)+geq_or_leq()+TString(jzbSelStr)));
421	>	}
422	>	}
423	>
424		TCut posSide = kbase&&ksel;
425		TCut negSide = kbase&&ksel2;
426		string sposSide(posSide);
427		string snegSide(negSide);
428		char var[20];
429		sprintf(var, "pdfW[%d]", k);
430	+	if(k==-1) sprintf(var,"1.0");//case in which we don't want to evaluate PDFs
431		string svar(var);
432	<	string newPosSide = "(" + sposSide + ")*" + svar;
433	<	string newNegSide = "(" + snegSide + ")*" + svar;
432	>	string newPosSide = "((id1==id2)&&(" + sposSide + "))*" + svar;
433	>	string newNegSide = "((id1==id2)&&(" + snegSide + "))*" + svar;
434	>	string emnewPosSide = "((id1!=id2)&&(" + sposSide + "))*" + svar; // only used for off peak analysis
435	>	string emnewNegSide = "((id1!=id2)&&(" + snegSide + "))*" + svar; // only used for off peak analysis
436	>
437	>	TH1F *effh= new TH1F("effh","effh",1,-14000,14000);
438	>	if(k>=0)events->Draw((mcjzbexpression+">>effh").c_str(), TCut(newPosSide.c_str())*PlottingSetup::Weight,"goff");
439	>	else events->Draw((mcjzbexpression+">>effh").c_str(), TCut((sposSide+"&&(id1==id2)").c_str())*PlottingSetup::Weight,"goff");//the OSSF condition is added for the offpeak analysis, in onpeak case it's there already but doesn't change anything.
440
441	<	events->Draw(mcjzbexpression.c_str(), newPosSide.c_str(),"goff");
297	<	Float_t sel = events->GetSelectedRows();
441	>	Float_t sel = effh->Integral();
442		Float_t nsel=0;
443	+
444	+	///----------------------------------------------- THIS PART REQUIRES STUDYING! -------------------------
445	+
446		if(ConsiderSignalContaminationForLimits) {
447	<	events->Draw(mcjzbexpression.c_str(), newNegSide.c_str(),"goff");
448	<	nsel = events->GetSelectedRows();
447	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
448	>	if(PlottingSetup::RestrictToMassPeak) {
449	>	events->Draw((mcjzbexpression+">>effh").c_str(), (TCut(newNegSide.c_str()))*PlottingSetup::Weight,"goff");
450	>	nsel += effh->Integral();
451	>	} else {
452	>	events->Draw((mcjzbexpression+">>effh").c_str(), (TCut(newNegSide.c_str()))*PlottingSetup::Weight,"goff");
453	>	nsel += effh->Integral();
454	>	events->Draw((mcjzbexpression+">>effh").c_str(), (TCut(emnewPosSide.c_str()))*PlottingSetup::Weight,"goff");
455	>	nsel += effh->Integral();
456	>	events->Draw((mcjzbexpression+">>effh").c_str(), (TCut(emnewNegSide.c_str()))*PlottingSetup::Weight,"goff");
457	>	nsel -= effh->Integral();
458	>	}
459		}
460	+
461		//Corrections due to normalization in the PDF. This has to be applied as well to the number of events in a file if the definition changes at some point.
462	<	float normFactor = get_norm_pdf_factor(events, k);
462	>	float normFactor = 1;
463	>	if(k>=0) get_norm_pdf_factor(events, k, addcut);
464		sel = sel/normFactor;
465		nsel = nsel/normFactor;
466
308	–	//      events->Draw(mcjzbexpression.c_str(),kbase,"goff");
309	–	//      Float_t tot = events->GetSelectedRows();
467		Float_t tot = Neventsinfile;
468
469	+	Value result_wo_signalcont;
470	+
471		if(ConsiderSignalContaminationForLimits) {
472		result=(sel-nsel)/tot;
473		resulterr=(1.0/tot)*TMath::Sqrt(sel+nsel+(sel-nsel)*(sel-nsel)/tot);
474	+	result_wo_signalcont=Value(sel/tot,TMath::Sqrt(sel/tot*(1+sel/tot)/tot));
475		} else {//no signal contamination considered:
476		result=(sel)/tot;
477		resulterr=TMath::Sqrt(sel/tot*(1+sel/tot)/tot);
478	+	result_wo_signalcont=Value(result,resulterr);
479		}
480	<	if(!automatized) dout << "  MC efficiency: " << result << "+-" << resulterr << "  ( JZB>" << jzbSel << " : " << sel << " , JZB<-" << jzbSel << " : " << nsel << " and nevents=" << tot << ")" << std::endl;
480	>	if(!automatized && k>0 ) dout << "PDF assessment [" << k << "] : ";
481	>	if(!automatized) dout << "  MC efficiency: " << result << "+-" << resulterr << "  ( JZB>" << jzbSel << " : " << sel << " , signal contamination : " << nsel << " and nevents=" << tot << ") with normFact=" << normFactor << std::endl;
482	>	delete effh;
483	>	return result_wo_signalcont;
484	>	}
485	>
486	>
487	>
488	>	//____________________________________________________________________________________
489	>	// Selection efficiency for one process (MC)
490	>	// not in use anymore.
491	>	/*
492	>	vector<float> processMCefficiency(TTree *events,int flipped, string mcjzb,bool requireZ,int Neventsinfile, string addcut) {
493	>	vector<float> process_efficiencies;
494	>	for(int iprocess=0;iprocess<=10;iprocess++) {
495	>	float this_process_efficiency,efferr;
496	>	stringstream addcutplus;
497	>	addcutplus<<addcut<<"&&(process=="<<iprocess<<")";
498	>	MCefficiency(events,this_process_efficiency, efferr,flipped,mcjzb,requireZ,Neventsinfile, addcutplus.str(),-1);
499	>	process_efficiencies.push_back(this_process_efficiency);
500	>	}
501	>	return process_efficiencies;
502		}
503	+	*/
504
505	<	void JZBefficiency(TTree *events, string informalname, float &jzbeff, float &jzbefferr, bool requireZ, string addcut="") {
506	<	TCut kbase("abs(genMll-91.2)<20&&genNjets>2&&genZPt>0&&abs(mll-91.2)<20&&((id1+1)*(id2+1)*ch1*ch2)!=-2");
505	>	void JZBefficiency(TTree *events, string informalname, float &jzbeff, float &jzbefferr, int flipped, bool requireZ, string addcut="") {
506	>	TCut kbase(genMassCut&&"genNjets>2&&genZPt>0"&&cutmass&&cutOSSF);
507		if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
508	<	if(requireZ) kbase=kbase&&"TMath::Abs(genMID)==23";
509	<	TH1F* hLM4 = plotEff(events,kbase,informalname);
508	>	if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
509	>	TH1F* hLM4 = plotEff(events,kbase,informalname,flipped);
510		Int_t bin = hLM4->FindBin(jzbSel); // To get the error
511		jzbeff=Interpolate(jzbSel,hLM4);
512		jzbefferr=hLM4->GetBinError(bin);
#	Line 333 | Line 516 | void JZBefficiency(TTree *events, string
516
517		//________________________________________________________________________
518		// Effect of energy scale on efficiency
519	<	void JZBjetScale(TTree *events, float &jesdown, float &jesup, string informalname,bool requireZ,string addcut="",float syst=0.1, Float_t jzbSelection=-1, TString plotName = "" ) {
520	<	TCut kbase("abs(genMll-91.2)<20&&genZPt>0");
519	>	void JZBjetScale(TTree *events, float &jesdown, float &jesup, string informalname, int flipped, bool requireZ,string addcut="",Float_t jzbSelection=-1, TString plotName = "" ) {
520	>	TCut kbase(genMassCut&&"genZPt>0");
521		if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
522	<	if(requireZ) kbase=kbase&&"TMath::Abs(genMID)==23";
522	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
523	>	if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
524
525	<	TCut ksel("abs(mll-91.2)<20&&((id1+1)*(id2+1)*ch1*ch2)!=-2");
525	>	TCut ksel(cutmass&&cutOSSF);
526		TCut nJets("pfJetGoodNum>2");
527		stringstream down,up;
528	<	down << "pfJetGoodNum"<<30*(1-syst)<<">=3";
529	<	up << "pfJetGoodNum"<<30*(1+syst)<<">=3";
528	>	down << "pfJetGoodNumn1sigma>=3";
529	>	up << "pfJetGoodNump1sigma>=3";
530
531		TCut nJetsP(up.str().c_str());
532		TCut nJetsM(down.str().c_str());
#	Line 350 | Line 534 | void JZBjetScale(TTree *events, float &j
534		if ( !(plotName.Length()>1) ) plotName = informalname;
535
536		nBins = 1; jzbMin = jzbSel*0.95; jzbMax = jzbSel*1.05;
537	<	TH1F* hist = plotEff(events,(kbase&&ksel&&nJets),informalname);
538	<
539	<	TH1F* histp = plotEff(events,(kbase&&ksel&&nJetsP),informalname);
356	<
357	<	TH1F* histm = plotEff(events,(kbase&&ksel&&nJetsM),informalname);
537	>	TH1F* hist  = plotEff(events,(kbase&&ksel&&nJets),informalname,flipped);
538	>	TH1F* histp = plotEff(events,(kbase&&ksel&&nJetsP),informalname,flipped);
539	>	TH1F* histm = plotEff(events,(kbase&&ksel&&nJetsM),informalname,flipped);
540
541		// Dump some information
542		Float_t eff  = Interpolate(jzbSel,hist);
#	Line 370 | Line 552 | void JZBjetScale(TTree *events, float &j
552
553		//________________________________________________________________________
554		// Effect of energy scale on JZB efficiency
555	<	void doJZBscale(TTree *events, float &down, float &up, float &syst, float systematic, string informalname, bool requireZ, string addcut) {
555	>	void doJZBscale(TTree *events, float &down, float &up, float &syst, float systematic, string informalname, int flipped, bool requireZ, string addcut) {
556
557	<	TCut kbase("abs(genMll-91.2)<20&&genZPt>0&&genNjets>2");
557	>	TCut kbase(genMassCut&&"genZPt>0&&genNjets>2");
558		if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
559	<	if(requireZ) kbase=kbase&&"TMath::Abs(genMID)==23";
560	<	TCut ksel("abs(mll-91.2)<20&&((id1+1)*(id2+1)*ch1*ch2)!=-2");
559	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
560	>	if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
561	>	TCut ksel(cutmass&&cutOSSF);
562
563		nBins =    50;
564		jzbMin =   0.5*jzbSel;
565		jzbMax =   2.0*jzbSel;
566
567	<	TH1F* hist = plotEff(events,kbase&&ksel,informalname);
567	>	TH1F* hist = plotEff(events,kbase&&ksel,informalname,flipped);
568
569		// Dump some information
570		Float_t eff  = Interpolate(jzbSel,hist);
571		Float_t effp = Interpolate(jzbSel*(1.+systematic),hist);
572		Float_t effm = Interpolate(jzbSel*(1.-systematic),hist);
573	<	if(!automatized) dout << "  efficiency at JZB==" << jzbSel*(1.+systematic)  << "(-"<<syst*100<<"%) : " << effp << " (" << ((effp-eff)/eff)*100. << "%)"  << std::endl;
573	>	if(!automatized) dout << "  efficiency at JZB==" << jzbSel*(1.+systematic)  << "(-"<<systematic*100<<"%) : " << effp << " (" << ((effp-eff)/eff)*100. << "%)"  << std::endl;
574		if(!automatized) dout << "  efficiency at JZB==" << jzbSel  << ": " << eff << std::endl;
575	<	if(!automatized) dout << "  efficiency at JZB==" << jzbSel*(1.-systematic)  << "(-"<<syst*100<<"%) : " << effm << " (" << ((effm-eff)/eff)*100. << "%)"  << std::endl;
575	>	if(!automatized) dout << "  efficiency at JZB==" << jzbSel*(1.-systematic)  << "(-"<<systematic*100<<"%) : " << effm << " (" << ((effm-eff)/eff)*100. << "%)"  << std::endl;
576		up=((effp-eff)/eff);
577		down=((effm-eff)/eff);
578		}
579
580		//________________________________________________________________________
581		// JZB response (true/reco. vs. true)
582	<	void JZBresponse(TTree *events, bool requireZ, float &resp, float &resperr, string addcut="",bool isMET = kFALSE, Float_t myJzbMax = 200., Int_t nPeriods = 9 ) {
582	>	void JZBresponse(TTree *events, string name, bool requireZ, float &resp, float &resperr, int flipped, string addcut="", bool isMET = kFALSE, Float_t myJzbMax = 200., Int_t nPeriods = 9 ) {
583
584		jzbMin = 20;
585	<	TCut kbase("abs(genMll-91.2)<20&&genZPt>0&&genNjets>2");
585	>	flag_this_change(__FUNCTION__,__LINE__,false);//PlottingSetup::RestrictToMassPeak
586	>	TCut kbase(genMassCut&&"genZPt>0&&genNjets>2");
587		if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
588	<	if(requireZ) kbase=kbase&&"TMath::Abs(genMID)==23";
589	<	TCut ksel("abs(mll-91.2)<20&&((id1+1)*(id2+1)*ch1*ch2)!=-2");
588	>	flag_this_change(__FUNCTION__,__LINE__,false);//PlottingSetup::RestrictToMassPeak
589	>	if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
590	>	flag_this_change(__FUNCTION__,__LINE__,false);//PlottingSetup::RestrictToMassPeak
591	>	TCut ksel(cutmass&&cutOSSF);
592
593		TProfile* hJzbResp = new TProfile("hJzbResp","JZB response  ; JZB true (GeV/c); JZB reco. / JZB true", nPeriods, jzbMin, myJzbMax, "" );
594
595	<	if (!isMET) events->Project("hJzbResp","("+TString(mcjzbexpression)+")/genJZB:genJZB",kbase&&ksel);
595	>	string locmcjzbexpression=mcjzbexpression;
596	>	if(flipped>0) locmcjzbexpression="-"+locmcjzbexpression;
597	>	string possibleminus="";
598	>	if(flipped>0) possibleminus="-";
599	>	if (!isMET) events->Project("hJzbResp","("+TString(locmcjzbexpression)+")/("+possibleminus+"genJZB):("+possibleminus+"genJZB)",kbase&&ksel);
600		else events->Project("hJzbResp","met[4]/genMET:genMET",kbase&&ksel);
601
602		hJzbResp->SetMaximum(1.2);
603		hJzbResp->SetMinimum(0.2);
604		hJzbResp->Fit("pol0","Q");
605		TF1 *fittedfunction = hJzbResp->GetFunction("pol0");
606	<	resp=fittedfunction->GetParameter(0);
607	<	resperr=fittedfunction->GetParError(0);
608	<	if(!automatized) dout << "  Response: " << resp << " +/- " << resperr << endl;
606	>	if(!fittedfunction) {
607	>	// in case there are not enough points passing our selection
608	>	cout << "OOPS response function invalid, assuming 100% error !!!!" << endl;
609	>	resp=1;
610	>	resperr=1;
611	>	} else {
612	>	resp=fittedfunction->GetParameter(0);
613	>	resperr=fittedfunction->GetParError(0);
614	>	if(!automatized) dout << "  Response: " << resp << " +/- " << resperr << endl;
615	>	}
616		delete hJzbResp;
617		}
618
619
620		//________________________________________________________________________________________
621		// PDF uncertainty
622	<	float get_pdf_uncertainty(TTree *events, string mcjzb, bool requireZ, int Neventsinfile, string addcut="") {
426	<
427	<	int numberOfPDFs = 44;
622	>	float get_pdf_uncertainty(TTree *events, int flipped, string mcjzb, bool requireZ, int Neventsinfile, int NPdfs, string addcut="") {
623		std::vector<float> efficiency;
624	<	for(int k = 1; k < numberOfPDFs; k++) {
624	>	for(int k = 1; k < NPdfs; k++) {
625		float result, resulterr;
626	<	MCefficiency(events, result, resulterr, mcjzb, requireZ, Neventsinfile, addcut, k);
626	>	Value flipval;
627	>	MCefficiency(events, result, resulterr, flipped, mcjzb, requireZ, Neventsinfile, addcut, k);
628		efficiency.push_back(result);
629		}
630	<	float errHi, errLow;
630	>	float errHi, errLow,err;
631		master_formula(efficiency, errHi, errLow);
632	<	if(errHi>errLow) return errHi;
633	<	return errLow;
632	>	err=errLow;
633	>	if(errHi>errLow) err=errHi;
634	>	if(!automatized) dout << "  Uncertainty from PDF: " << errLow << " (low) and " << errHi << "(high) ---> Picked " << err << endl;
635	>	return err;
636
637		}
638
639	<
640	<
641	<	void do_systematics_for_one_file(TTree *events,int Neventsinfile,string informalname, vector<vector<float> > &results,string mcjzb,string datajzb,float peakerror,bool requireZ=false, string addcut="", bool ismSUGRA=false) {
639	>	int get_npdfs(TTree *events) {
640	>	int NPDFs;
641	>	events->SetBranchAddress("NPdfs",&NPDFs);
642	>	events->GetEntry(1);
643	>	return NPDFs;
644	>	}
645
646	<	float JetEnergyScaleUncert=0.1;
647	<	float JZBScaleUncert=0.1;
646	>
647	>	void do_systematics_for_one_file(TTree *events,int Neventsinfile,string informalname, vector<vector<float> > &results,int flipped, string mcjzb,string datajzb,float peakerror,bool requireZ=false, string addcut="", bool ismSUGRA=false) {
648	>	float JZBScaleUncert=0.05;
649		mcjzbexpression=mcjzb;
650	<	float triggereff=4.0/100;// in range [0,1]
650	>	float triggereff=2.0/100;// in range [0,1]
651		dout << "Trigger efficiency not implemented in this script  yet, still using external one" << endl;
652		float leptonseleff=2.0/100;// in range [0,1]
653	+	leptonseleff=TMath::Sqrt(leptonseleff*leptonseleff+leptonseleff*leptonseleff); // because the 2% is per lepton
654		dout << "Lepton selection efficiency not implemented in this script  yet, still using external one" << endl;
655
656	+	int NPdfs=0;
657	+	if(ismSUGRA) NPdfs = get_npdfs(events);
658	+
659		float mceff,mcefferr,jzbeff,jzbefferr;
660		if(!automatized) dout << "MC efficiencies:" << endl;
661	<	MCefficiency(events,mceff,mcefferr,mcjzb,requireZ,Neventsinfile,addcut);
662	<	JZBefficiency(events,informalname,jzbeff,jzbefferr,requireZ,addcut);
661	>	Value flipefficiency;
662	>	Value mceff_nosigcont = MCefficiency(events,mceff,mcefferr,flipped,mcjzb,requireZ,Neventsinfile,addcut,-1);
663	>	if(!automatized) cout << "   Without signal contamination, we find an efficiency of " << mceff_nosigcont << endl;
664	>
665	>	if(PlottingSetup::computeJZBefficiency) JZBefficiency(events,informalname,jzbeff,jzbefferr,flipped,requireZ,addcut);
666		if(!automatized) dout << "JZB efficiency: " << jzbeff << "+/-" << jzbefferr << endl;
667
668	<	if(!automatized) dout << "Error from Peak position:" << endl;
668	>	if(!automatized) dout << "Error from Peak position:";
669		float sysfrompeak=0;
670	<	PeakError(events,sysfrompeak,mcjzb,peakerror,addcut);
670	>	PeakError(events,sysfrompeak,mcjzb,peakerror,flipped,addcut);
671
672	<	if(!automatized) dout << "Jet energy scale: " << std::endl;
672	>	if(!automatized) dout << "Jet energy scale (JES): " << std::endl;
673		float jesup,jesdown;
674	<	JZBjetScale(events,jesdown,jesup,informalname,requireZ,addcut,JetEnergyScaleUncert);
675	<
674	>	JZBjetScale(events,jesdown,jesup,informalname,flipped,requireZ,addcut);
675	>
676		if(!automatized) dout << "JZB scale: " << std::endl;
677		float scaleup,scaledown,scalesyst;
678	<	doJZBscale(events,scaledown,scaleup,scalesyst,JZBScaleUncert,informalname,requireZ,addcut);
678	>	doJZBscale(events,scaledown,scaleup,scalesyst,JZBScaleUncert,informalname,flipped,requireZ,addcut);
679
680		if(!automatized) dout << "JZB response: " << std::endl;
681		float resp,resperr;
682	<	JZBresponse(events,requireZ,resp,resperr,addcut);
682	>	if(PlottingSetup::computeJZBresponse) {
683	>	if(!automatized) dout << "JZB response: " << std::endl;
684	>	if(!ismSUGRA) JZBresponse(events,informalname,requireZ,resp,resperr,flipped,addcut);
685	>	}
686
687		if(!automatized) dout << "Pileup: " << std::endl;
688	<	float resolution=pileup(events,requireZ,informalname,addcut);
688	>	//  float resolution;
689	>	//resolution=pileup(events,requireZ,informalname,flipped,addcut);
690
691		float PDFuncert=0;
692	<	if(ismSUGRA) PDFuncert = get_pdf_uncertainty(events, mcjzb, requireZ, Neventsinfile, addcut);
692	>	if(!automatized) dout << "Assessing PDF uncertainty: " << std::endl;
693	>	if(ismSUGRA) PDFuncert = get_pdf_uncertainty(events, flipped, mcjzb, requireZ, Neventsinfile, NPdfs, addcut);
694
695		dout << "_______________________________________________" << endl;
696		dout << "                 SUMMARY FOR " << informalname << " with JZB>" << jzbSel << "  (all in %) ";
#	Line 487 | Line 701 | void do_systematics_for_one_file(TTree *
701		dout << "Lepton Sel Eff: " << leptonseleff << endl; // in range [0,1]
702		dout << "Jet energy scale: " << jesup << " " << jesdown << endl; // in range [0,1]
703		dout << "JZB Scale Uncert: " << scaledown << " " << scaleup << endl; // in range [0,1]
704	<	dout << "Resolution : " << resolution << endl; // in range [0,1]
704	>	//  dout << "Resolution : " << resolution << endl; // in range [0,1]
705		dout << "From peak : " << sysfrompeak << endl; // in range [0,1]
706	<	dout << "PDF uncertainty  : " << PDFuncert << " (not yet included below) " << endl; // in range [0,1]
707	<	dout << "JZB efficiency: " << jzbeff << "+/-" << jzbefferr << " (not yet included below) " << endl; // in range [0,1]
708	<	dout << "JZB response  : " << resp << " +/-" << resperr << " (not yet included below) " << endl; // in range [0,1]
706	>	if(ismSUGRA) dout << "PDF uncertainty  : " << PDFuncert << endl; // in range [0,1]
707	>	if(PlottingSetup::computeJZBefficiency) dout << "JZB efficiency: " << jzbeff << "+/-" << jzbefferr << " (not yet included below) " << endl; // in range [0,1]
708	>	if(PlottingSetup::computeJZBresponse)dout << "JZB response  : " << resp << " +/-" << resperr << " (not yet included below) " << endl; // in range [0,1]
709
710		float toterr=0;
711		toterr+=(triggereff)*(triggereff);
712		toterr+=(leptonseleff)*(leptonseleff);
713		if(fabs(jesup)>fabs(jesdown)) toterr+=(jesup*jesup); else toterr+=(jesdown*jesdown);
714		if(fabs(scaleup)>fabs(scaledown)) toterr+=(scaleup*scaleup); else toterr+=(scaledown*scaledown);
715	<	toterr+=(resolution*resolution);
715	>	//  toterr+=(resolution*resolution);
716		toterr+=(sysfrompeak*sysfrompeak);
717		if(ismSUGRA) toterr+=(PDFuncert*PDFuncert);
718		dout << "TOTAL SYSTEMATICS: " << TMath::Sqrt(toterr) << " --> " << TMath::Sqrt(toterr)*mceff << endl;
#	Line 507 | Line 721 | void do_systematics_for_one_file(TTree *
721
722		dout << "FINAL RESULT : " << 100*mceff << " +/- "<< 100*mcefferr << " (stat) +/- " << 100*systerr << " (syst)   %" << endl;
723		dout << "     we thus use the sqrt of the sum of the squares of the stat & syst err, which is : " << 100*toterr << endl;
724	+	dout << "_______________________________________________" << endl;
725
726		//Do not modify the lines below or mess with the order; this order is expected by all limit calculating functions!
727		vector<float> res;
#	Line 517 | Line 732 | void do_systematics_for_one_file(TTree *
732		res.push_back(TMath::Sqrt((mcefferr)*(mcefferr)+(toterr*toterr)));
733		if(fabs(jesup)>fabs(jesdown)) res.push_back(fabs(jesup)); else res.push_back(fabs(jesdown));
734		if(fabs(scaleup)>fabs(scaledown)) res.push_back(fabs(scaleup)); else res.push_back(fabs(scaledown));
735	<	res.push_back(fabs(resolution));
735	>	//  res.push_back(fabs(resolution));
736	>	res.push_back(0.0);
737	>	res.push_back(mceff_nosigcont.getValue());
738	>	res.push_back(mceff_nosigcont.getError());
739		if(ismSUGRA) res.push_back(PDFuncert);
740		results.push_back(res);
741		}
742
743	<	vector<vector<float> > compute_systematics(string mcjzb, float mcpeakerror, string datajzb, samplecollection &signalsamples, vector<float> bins, bool requireZ=false) {
743	>	vector<vector<float> > compute_systematics(string mcjzb, float mcpeakerror, int flipped, string datajzb, samplecollection &signalsamples, vector<float> bins, bool requireZ=false) {
744		automatized=true;
745		vector< vector<float> > systematics;
746		for (int isignal=0; isignal<signalsamples.collection.size();isignal++) {
747	<	dout << "Looking at signal " << (signalsamples.collection)[isignal].filename << endl;
748	<	for(int ibin=0;ibin<bins.size();ibin++) {
749	<	jzbSel=bins[ibin];
750	<	geqleq="geq";
751	<	do_systematics_for_one_file((signalsamples.collection)[isignal].events,(signalsamples.collection)[isignal].Nentries,(signalsamples.collection)[isignal].samplename,systematics,mcjzb,datajzb,mcpeakerror,requireZ);
752	<	}//end of bin loop
747	>	dout << "Looking at signal " << (signalsamples.collection)[isignal].filename << endl;
748	>	for(int ibin=0;ibin<bins.size();ibin++) {
749	>	jzbSel=bins[ibin];
750	>	geqleq="geq";
751	>	do_systematics_for_one_file((signalsamples.collection)[isignal].events,(signalsamples.collection)[isignal].Nentries,(signalsamples.collection)[isignal].samplename,systematics,flipped,mcjzb,datajzb,mcpeakerror,requireZ);
752	>	}//end of bin loop
753		}//end of signal loop
754		return systematics;
755		}

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