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Comparing UserCode/cbrown/AnalysisFramework/Plotting/Modules/Systematics.C (file contents):
Revision 1.42 by buchmann, Mon Oct 24 15:05:37 2011 UTC vs.
Revision 1.47 by buchmann, Wed Nov 9 12:13:46 2011 UTC

#	Line 85 | 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");
105	>	events->Draw("("+TString(locmcjzbexpression)+")>>"+TString(hname),kBaseCut&&kMassCut&&JZBNegCut&&cutOSOF,"goff");
106
107		float obs=0;
108		float pred=0;
#	Line 109 | Line 110 | float allcontributionsplot(TTree* events
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(mcjzbexpression)+">>"+TString(hname),kBaseCut&&kSidebandCut&&JZBPosCut&&cutOSSF,"goff");
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(mcjzbexpression)+">>"+TString(hname),kBaseCut&&kSidebandCut&&JZBNegCut&&cutOSSF,"goff");
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(mcjzbexpression)+">>"+TString(hname),kBaseCut&&kSidebandCut&&JZBPosCut&&cutOSOF,"goff");
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(mcjzbexpression)+">>"+TString(hname),kBaseCut&&kSidebandCut&&JZBNegCut&&cutOSOF,"goff");
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;
#	Line 136 | Line 146 | float allcontributionsplot(TTree* events
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		// Define new histogram
#	Line 145 | Line 155 | TH1F* plotEff(TTree* events, TCut kbase,
155		nBins,jzbMin,jzbMax);
156		Float_t step = (jzbMax-jzbMin)/static_cast<Float_t>(nBins);
157
158	<	events->Draw(mcjzbexpression.c_str(),"genJZB>-400"&&kbase,"goff");
158	>	if(flipped==0) events->Draw(mcjzbexpression.c_str(),"genJZB>-400"&&kbase,"goff");
159	>	else events->Draw(("-"+mcjzbexpression).c_str(),"genJZB>-14000"&&kbase,"goff");
160		Float_t maxEff = events->GetSelectedRows();
161		if(verbose>0) dout << hname << " (" << informalname <<") " << maxEff <<  std::endl;
162
#	Line 220 | Line 231 | float get_norm_pdf_factor(TTree *events,
231
232		//________________________________________________________________________________________
233		// Pile-up efficiency
234	<	float pileup(TTree *events, bool requireZ, string informalname, string addcut="",Float_t myJzbMax = 140. ) {
234	>	float pileup(TTree *events, bool requireZ, string informalname, int flipped, string addcut="",Float_t myJzbMax = 140. ) {
235		nBins = 16;
236		jzbMax = myJzbMax;
237
#	Line 230 | Line 241 | float pileup(TTree *events, bool require
241		if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
242
243		if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
244	<	TH1F* hLM4 = plotEff(events,kbase,informalname);
244	>	TH1F* hLM4 = plotEff(events,kbase,informalname,flipped);
245		hLM4->SetMinimum(0.);
246
247		// Nominal function
#	Line 241 | Line 252 | float pileup(TTree *events, bool require
252
253		// Pimped-up function
254		TF1* funcUp = (TF1*)func->Clone();
255	<	funcUp->SetParameter( 0., func->GetParameter(0)/1.1); // 10% systematic error (up in sigma => 0.1 in erfc)
255	>	funcUp->SetParameter( 0, func->GetParameter(0)/1.1); // 10% systematic error (up in sigma => 0.1 in erfc)
256		if(!automatized) dout << "  PU: " << funcUp->Eval(jzbSel) << " " <<  func->Eval(jzbSel)
257		<< "(" << (funcUp->Eval(jzbSel)-func->Eval(jzbSel))/func->Eval(jzbSel)*100. << "%)" << std::endl;
258
#	Line 251 | Line 262 | float pileup(TTree *events, bool require
262
263		//____________________________________________________________________________________
264		// Effect of peak shifting
265	<	void PeakError(TTree *events,float &result, string mcjzb, float peakerr,string addcut="") {
265	>	void PeakError(TTree *events,float &result, string mcjzb, float peakerr,int flipped,string addcut="") {
266		//Note: the cut used here is something like (JZBEXPRESSION+(peakerr)>50) without all the other cuts, to increase statistics (particularly for scans)
267		TString peakup("("+TString(mcjzb)+"+"+TString(any2string(TMath::Abs(peakerr)))+")"+geq_or_leq()+TString(any2string(jzbSel)));
268		TString peakdown("("+TString(mcjzb)+"-"+TString(any2string(TMath::Abs(peakerr)))+")"+geq_or_leq()+TString(any2string(jzbSel)));
#	Line 275 | Line 286 | void PeakError(TTree *events,float &resu
286		negcut=npeakup;
287		}
288		float res;
289	<	if(addcut=="") res=allcontributionsplot(events,cutnJets,cutmass,sidebandcut,poscut.c_str(),negcut.c_str());
290	<	else res=allcontributionsplot(events,cutnJets&&addcut.c_str(),cutmass,sidebandcut,poscut.c_str(),negcut.c_str());
289	>	if(addcut=="") res=allcontributionsplot(events,cutnJets,cutmass,sidebandcut,poscut.c_str(),negcut.c_str(),flipped);
290	>	else res=allcontributionsplot(events,cutnJets&&addcut.c_str(),cutmass,sidebandcut,poscut.c_str(),negcut.c_str(),flipped);
291		if(i==0) rescent=res;
292		else if(i==1) resdown=res;
293		else if(i==2) resup=res;
#	Line 285 | Line 296 | void PeakError(TTree *events,float &resu
296		else result=(TMath::Abs(rescent-resdown)/(float)rescent);
297		}
298
299	+
300	+	void  MCPartialefficiency(TTree *events,float &result, float &resulterr,int flipped, string mcjzb,bool requireZ,int Neventsinfile, string addcut="", int k = 0, int type = 0) {
301	+	if(!events) {
302	+	write_error(__FUNCTION__,"Tree passed for efficiency calculation is invalid!");
303	+	result=0;resulterr=0;
304	+	return;
305	+	}
306	+
307	+	char jzbSelStr[256]; sprintf(jzbSelStr,"%f",jzbSel);
308	+	// All acceptance cuts at gen. level
309	+	//TCut kbase("abs(genMll-91.2)<20&&genNjets>2&&genZPt>0&&genJZB"+geq_or_leq()+TString(jzbSelStr)+"&&genId1==-genId2");
310	+	TCut kbase("");
311	+	if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
312	+	if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
313	+	// Corresponding reco. cuts
314	+
315	+	TCut acceptance("genPt2 != 0");
316	+	TCut massId(cutmass&&cutOSSF);
317	+	TCut njets(cutnJets);
318	+	TCut jzbp;
319	+	TCut jzbn;
320	+	if(flipped==0) {
321	+	jzbp=TCut((TString(mcjzb)+geq_or_leq()+TString(jzbSelStr)));
322	+	jzbn=TCut((TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr)));
323	+	} else {
324	+	jzbp=TCut(TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr));
325	+	jzbn=TCut(TString(mcjzb)+geq_or_leq()+TString(jzbSelStr));
326	+	}
327	+	float ntotal = events->Draw("pt1", kbase, "goff");
328	+	TCut theCut;
329	+	switch(type) {
330	+	case 1:
331	+	theCut = kbase+acceptance;
332	+	break;
333	+	case 2:
334	+	theCut = kbase+massId;
335	+	break;
336	+	case 3:
337	+	theCut = kbase+massId+njets;
338	+	break;
339	+	case 4:
340	+	theCut = kbase+massId+njets+jzbn;
341	+	break;
342	+	default:
343	+	theCut = kbase+massId+njets+jzbn;
344	+	break;
345	+	}
346	+
347	+	string stheCut(theCut);
348	+	char var[20];
349	+	sprintf(var, "pdfW[%d]", k);
350	+
351	+	string svar(var);
352	+	string newtheCut;
353	+	if(k>0) newtheCut = "(" + stheCut + ")*" + svar;
354	+	else newtheCut = "(" + stheCut + ")"; // for k==0 or even k==-1 we don't need to evaluate PDFs
355	+
356	+	TH1F *effh= new TH1F("effh","effh",1,-14000,14000);
357	+	if(k>=0) events->Draw((mcjzbexpression+">>effh").c_str(), newtheCut.c_str(),"goff");
358	+	else events->Draw((mcjzbexpression+">>effh").c_str(), theCut,"goff");
359	+	Float_t sel = effh->Integral();
360	+	Float_t nsel=0;
361	+	//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.
362	+	float normFactor = 1;
363	+	if(k>=0) get_norm_pdf_factor(events, k, addcut);
364	+	sel = sel/normFactor;
365	+
366	+	result=(sel)/ntotal;
367	+	resulterr=TMath::Sqrt(sel/ntotal*(1+sel/ntotal)/ntotal);
368	+
369	+	}
370	+
371		//____________________________________________________________________________________
372		// Total selection efficiency (MC)
373		//returns the efficiency WITHOUT signal contamination, and the result and resulterr contain the result and the corresponding error
374	<	Value MCefficiency(TTree *events,float &result, float &resulterr,string mcjzb,bool requireZ,int Neventsinfile, string addcut="", int k = 0) {
292	<	write_warning(__FUNCTION__,"Setting automatized to off!"); automatized=false;
374	>	Value MCefficiency(TTree *events,float &result, float &resulterr, int flipped, string mcjzb,bool requireZ,int Neventsinfile, string addcut="", int k = 0) {
375		if(!events) {
376		write_error(__FUNCTION__,"Tree passed for efficiency calculation is invalid!");
377		result=0;
#	Line 314 | Line 396 | Value MCefficiency(TTree *events,float &
396		if(PlottingSetup::RestrictToMassPeak||!ConsiderSignalContaminationForLimits) {
397		ksel=TCut("pfJetGoodNum>2"&&cutmass&&"id1==id2&&"+TString(mcjzb)+geq_or_leq()+TString(jzbSelStr));
398		ksel2=TCut("pfJetGoodNum>2"&&cutmass&&"id1==id2&&"+TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr));
399	+	if(flipped>0) {
400	+	ksel=TCut("pfJetGoodNum>2"&&cutmass&&"id1==id2&&"+TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr));
401	+	ksel2=TCut("pfJetGoodNum>2"&&cutmass&&"id1==id2&&"+TString(mcjzb)+geq_or_leq()+TString(jzbSelStr));
402	+	}
403		} else {
404		//for off peak analysis we don't use the OSSF condition here yet so we can recycle these two cuts for the em condition!
405		ksel=TCut("pfJetGoodNum>2"&&cutmass&&(TString(mcjzb)+geq_or_leq()+TString(jzbSelStr)));
406		ksel2=TCut("pfJetGoodNum>2"&&cutmass&&(TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr)));
407	+	if(flipped>0) {
408	+	ksel=TCut("pfJetGoodNum>2"&&cutmass&&(TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr)));
409	+	ksel2=TCut("pfJetGoodNum>2"&&cutmass&&(TString(mcjzb)+geq_or_leq()+TString(jzbSelStr)));
410	+	}
411		}
412
413		TCut posSide = kbase&&ksel;
#	Line 377 | Line 467 | Value MCefficiency(TTree *events,float &
467		resulterr=TMath::Sqrt(sel/tot*(1+sel/tot)/tot);
468		result_wo_signalcont=Value(result,resulterr);
469		}
470	<	if(!automatized && k>0 ) dout << "PDF assessment: ";
470	>	if(!automatized && k>0 ) dout << "PDF assessment [" << k << "] : ";
471		if(!automatized) dout << "  MC efficiency: " << result << "+-" << resulterr << "  ( JZB>" << jzbSel << " : " << sel << " , signal contamination : " << nsel << " and nevents=" << tot << ") with normFact=" << normFactor << std::endl;
472		delete effh;
473		return result_wo_signalcont;
#	Line 387 | Line 477 | Value MCefficiency(TTree *events,float &
477
478		//____________________________________________________________________________________
479		// Selection efficiency for one process (MC)
480	<	vector<float> processMCefficiency(TTree *events,string mcjzb,bool requireZ,int Neventsinfile, string addcut) {
480	>	// not in use anymore.
481	>	/*
482	>	vector<float> processMCefficiency(TTree *events,int flipped, string mcjzb,bool requireZ,int Neventsinfile, string addcut) {
483		vector<float> process_efficiencies;
484		for(int iprocess=0;iprocess<=10;iprocess++) {
485		float this_process_efficiency,efferr;
486		stringstream addcutplus;
487		addcutplus<<addcut<<"&&(process=="<<iprocess<<")";
488	<	MCefficiency(events,this_process_efficiency, efferr,mcjzb,requireZ,Neventsinfile, addcutplus.str(),-1);
488	>	MCefficiency(events,this_process_efficiency, efferr,flipped,mcjzb,requireZ,Neventsinfile, addcutplus.str(),-1);
489		process_efficiencies.push_back(this_process_efficiency);
490		}
491		return process_efficiencies;
492		}
493	<
493	>	*/
494
495	<	void JZBefficiency(TTree *events, string informalname, float &jzbeff, float &jzbefferr, bool requireZ, string addcut="") {
495	>	void JZBefficiency(TTree *events, string informalname, float &jzbeff, float &jzbefferr, int flipped, bool requireZ, string addcut="") {
496		TCut kbase(genMassCut&&"genNjets>2&&genZPt>0"&&cutmass&&cutOSSF);
497		if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
498		if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
499	<	TH1F* hLM4 = plotEff(events,kbase,informalname);
499	>	TH1F* hLM4 = plotEff(events,kbase,informalname,flipped);
500		Int_t bin = hLM4->FindBin(jzbSel); // To get the error
501		jzbeff=Interpolate(jzbSel,hLM4);
502		jzbefferr=hLM4->GetBinError(bin);
#	Line 414 | Line 506 | void JZBefficiency(TTree *events, string
506
507		//________________________________________________________________________
508		// Effect of energy scale on efficiency
509	<	void JZBjetScale(TTree *events, float &jesdown, float &jesup, string informalname,bool requireZ,string addcut="",float syst=0.1, Float_t jzbSelection=-1, TString plotName = "" ) {
509	>	void JZBjetScale(TTree *events, float &jesdown, float &jesup, string informalname, int flipped, bool requireZ,string addcut="",float syst=0.1, Float_t jzbSelection=-1, TString plotName = "" ) {
510		TCut kbase(genMassCut&&"genZPt>0");
511		if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
512		flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
#	Line 432 | Line 524 | void JZBjetScale(TTree *events, float &j
524		if ( !(plotName.Length()>1) ) plotName = informalname;
525
526		nBins = 1; jzbMin = jzbSel*0.95; jzbMax = jzbSel*1.05;
527	<	TH1F* hist = plotEff(events,(kbase&&ksel&&nJets),informalname);
527	>	TH1F* hist = plotEff(events,(kbase&&ksel&&nJets),informalname,flipped);
528
529	<	TH1F* histp = plotEff(events,(kbase&&ksel&&nJetsP),informalname);
529	>	TH1F* histp = plotEff(events,(kbase&&ksel&&nJetsP),informalname,flipped);
530
531	<	TH1F* histm = plotEff(events,(kbase&&ksel&&nJetsM),informalname);
531	>	TH1F* histm = plotEff(events,(kbase&&ksel&&nJetsM),informalname,flipped);
532
533		// Dump some information
534		Float_t eff  = Interpolate(jzbSel,hist);
#	Line 452 | Line 544 | void JZBjetScale(TTree *events, float &j
544
545		//________________________________________________________________________
546		// Effect of energy scale on JZB efficiency
547	<	void doJZBscale(TTree *events, float &down, float &up, float &syst, float systematic, string informalname, bool requireZ, string addcut) {
547	>	void doJZBscale(TTree *events, float &down, float &up, float &syst, float systematic, string informalname, int flipped, bool requireZ, string addcut) {
548
549		TCut kbase(genMassCut&&"genZPt>0&&genNjets>2");
550		if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
#	Line 464 | Line 556 | void doJZBscale(TTree *events, float &do
556		jzbMin =   0.5*jzbSel;
557		jzbMax =   2.0*jzbSel;
558
559	<	TH1F* hist = plotEff(events,kbase&&ksel,informalname);
559	>	TH1F* hist = plotEff(events,kbase&&ksel,informalname,flipped);
560
561		// Dump some information
562		Float_t eff  = Interpolate(jzbSel,hist);
#	Line 479 | Line 571 | void doJZBscale(TTree *events, float &do
571
572		//________________________________________________________________________
573		// JZB response (true/reco. vs. true)
574	<	void JZBresponse(TTree *events, bool requireZ, float &resp, float &resperr, string addcut="",bool isMET = kFALSE, Float_t myJzbMax = 200., Int_t nPeriods = 9 ) {
574	>	void JZBresponse(TTree *events, bool requireZ, float &resp, float &resperr, int flipped, string addcut="", bool isMET = kFALSE, Float_t myJzbMax = 200., Int_t nPeriods = 9 ) {
575
576		jzbMin = 20;
577		flag_this_change(__FUNCTION__,__LINE__,false);//PlottingSetup::RestrictToMassPeak
#	Line 492 | Line 584 | void JZBresponse(TTree *events, bool req
584
585		TProfile* hJzbResp = new TProfile("hJzbResp","JZB response  ; JZB true (GeV/c); JZB reco. / JZB true", nPeriods, jzbMin, myJzbMax, "" );
586
587	<	if (!isMET) events->Project("hJzbResp","("+TString(mcjzbexpression)+")/genJZB:genJZB",kbase&&ksel);
587	>	string locmcjzbexpression=mcjzbexpression;
588	>	if(flipped>0) locmcjzbexpression="-"+locmcjzbexpression;
589	>	string possibleminus="";
590	>	if(flipped>0) possibleminus="-";
591	>	if (!isMET) events->Project("hJzbResp","("+TString(locmcjzbexpression)+")/("+possibleminus+"genJZB):("+possibleminus+"genJZB)",kbase&&ksel);
592		else events->Project("hJzbResp","met[4]/genMET:genMET",kbase&&ksel);
593
594		hJzbResp->SetMaximum(1.2);
#	Line 515 | Line 611 | void JZBresponse(TTree *events, bool req
611
612		//________________________________________________________________________________________
613		// PDF uncertainty
614	<	float get_pdf_uncertainty(TTree *events, string mcjzb, bool requireZ, int Neventsinfile, int NPdfs, string addcut="") {
614	>	float get_pdf_uncertainty(TTree *events, int flipped, string mcjzb, bool requireZ, int Neventsinfile, int NPdfs, string addcut="") {
615		std::vector<float> efficiency;
616		for(int k = 1; k < NPdfs; k++) {
617		float result, resulterr;
618	<	MCefficiency(events, result, resulterr, mcjzb, requireZ, Neventsinfile, addcut, k);
618	>	Value flipval;
619	>	MCefficiency(events, result, resulterr, flipped, mcjzb, requireZ, Neventsinfile, addcut, k);
620		efficiency.push_back(result);
621		}
622		float errHi, errLow,err;
#	Line 539 | Line 636 | int get_npdfs(TTree *events) {
636		}
637
638
639	<	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	>	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) {
640		float JetEnergyScaleUncert=0.1;
641		float JZBScaleUncert=0.1;
642		mcjzbexpression=mcjzb;
#	Line 554 | Line 651 | void do_systematics_for_one_file(TTree *
651
652		float mceff,mcefferr,jzbeff,jzbefferr;
653		if(!automatized) dout << "MC efficiencies:" << endl;
654	<	Value mceff_nosigcont = MCefficiency(events,mceff,mcefferr,mcjzb,requireZ,Neventsinfile,addcut,-1);
654	>	Value flipefficiency;
655	>	Value mceff_nosigcont = MCefficiency(events,mceff,mcefferr,flipped,mcjzb,requireZ,Neventsinfile,addcut,-1);
656		if(!automatized) cout << "   Without signal contamination, we find an efficiency of " << mceff_nosigcont << endl;
657
658	<	if(PlottingSetup::computeJZBefficiency) JZBefficiency(events,informalname,jzbeff,jzbefferr,requireZ,addcut);
658	>	if(PlottingSetup::computeJZBefficiency) JZBefficiency(events,informalname,jzbeff,jzbefferr,flipped,requireZ,addcut);
659		if(!automatized) dout << "JZB efficiency: " << jzbeff << "+/-" << jzbefferr << endl;
660
661		if(!automatized) dout << "Error from Peak position:" << endl;
662		float sysfrompeak=0;
663	<	PeakError(events,sysfrompeak,mcjzb,peakerror,addcut);
663	>	PeakError(events,sysfrompeak,mcjzb,peakerror,flipped,addcut);
664
665		if(!automatized) dout << "Jet energy scale: " << std::endl;
666		float jesup,jesdown;
667	<	JZBjetScale(events,jesdown,jesup,informalname,requireZ,addcut,JetEnergyScaleUncert);
667	>	JZBjetScale(events,jesdown,jesup,informalname,flipped,requireZ,addcut,JetEnergyScaleUncert);
668
669		if(!automatized) dout << "JZB scale: " << std::endl;
670		float scaleup,scaledown,scalesyst;
671	<	doJZBscale(events,scaledown,scaleup,scalesyst,JZBScaleUncert,informalname,requireZ,addcut);
671	>	doJZBscale(events,scaledown,scaleup,scalesyst,JZBScaleUncert,informalname,flipped,requireZ,addcut);
672
673		if(!automatized) dout << "JZB response: " << std::endl;
674		float resp,resperr;
675		if(PlottingSetup::computeJZBresponse) {
676		if(!automatized) dout << "JZB response: " << std::endl;
677	<	JZBresponse(events,requireZ,resp,resperr,addcut);
677	>	JZBresponse(events,requireZ,resp,resperr,flipped,addcut);
678		}
679
680		if(!automatized) dout << "Pileup: " << std::endl;
681		float resolution;
682	<	resolution=pileup(events,requireZ,informalname,addcut);
682	>	resolution=pileup(events,requireZ,informalname,flipped,addcut);
683
684		float PDFuncert=0;
685		if(!automatized) dout << "Assessing PDF uncertainty: " << std::endl;
686	<	if(ismSUGRA) PDFuncert = get_pdf_uncertainty(events, mcjzb, requireZ, Neventsinfile, NPdfs, addcut);
686	>	if(ismSUGRA) PDFuncert = get_pdf_uncertainty(events, flipped, mcjzb, requireZ, Neventsinfile, NPdfs, addcut);
687
688		dout << "_______________________________________________" << endl;
689		dout << "                 SUMMARY FOR " << informalname << " with JZB>" << jzbSel << "  (all in %) ";
#	Line 634 | Line 732 | void do_systematics_for_one_file(TTree *
732		results.push_back(res);
733		}
734
735	<	vector<vector<float> > compute_systematics(string mcjzb, float mcpeakerror, string datajzb, samplecollection &signalsamples, vector<float> bins, bool requireZ=false) {
735	>	vector<vector<float> > compute_systematics(string mcjzb, float mcpeakerror, int flipped, string datajzb, samplecollection &signalsamples, vector<float> bins, bool requireZ=false) {
736		automatized=true;
737		vector< vector<float> > systematics;
738		for (int isignal=0; isignal<signalsamples.collection.size();isignal++) {
#	Line 642 | Line 740 | vector<vector<float> > compute_systemati
740		for(int ibin=0;ibin<bins.size();ibin++) {
741		jzbSel=bins[ibin];
742		geqleq="geq";
743	<	do_systematics_for_one_file((signalsamples.collection)[isignal].events,(signalsamples.collection)[isignal].Nentries,(signalsamples.collection)[isignal].samplename,systematics,mcjzb,datajzb,mcpeakerror,requireZ);
743	>	do_systematics_for_one_file((signalsamples.collection)[isignal].events,(signalsamples.collection)[isignal].Nentries,(signalsamples.collection)[isignal].samplename,systematics,flipped,mcjzb,datajzb,mcpeakerror,requireZ);
744		}//end of bin loop
745		}//end of signal loop
746		return systematics;

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