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Comparing UserCode/cbrown/AnalysisFramework/Plotting/Modules/Systematics.C (file contents):
Revision 1.30 by buchmann, Wed Sep 7 06:43:24 2011 UTC vs.
Revision 1.45 by buchmann, Mon Nov 7 15:08:39 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		// Define new histogram
#	Line 135 | 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 188 | Line 209 | void master_formula(std::vector<float> e
209
210		//________________________________________________________________________________________
211		// Get normalization factor for the PDFs
212	<	float get_norm_pdf_factor(TTree *events, int k) {
212	>	float get_norm_pdf_factor(TTree *events, int k, string addcut) {
213
214		TH1F *haux = new TH1F("haux", "", 10000, 0, 5);
215		char nameVar[20];
216		sprintf(nameVar, "pdfW[%d]", k);
217	<	events->Project("haux", nameVar);
217	>	events->Project("haux", nameVar, addcut.c_str());
218		float thisW = haux->Integral();
219		events->Project("haux", "pdfW[0]");
220		float normW = haux->Integral();
#	Line 210 | 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
238		// Acceptance cuts
239	<	TCut kbase("abs(genMll-91.2)<20&&genNjets>2&&genZPt>0&&abs(mll-91.2)<20&&((id1+1)*(id2+1)*ch1*ch2)!=-2");
239	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
240	>	TCut kbase(PlottingSetup::genMassCut&&"genNjets>2&&genZPt>0"&&cutmass&&cutOSSF);
241		if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
242
243	<	if(requireZ) kbase=kbase&&"TMath::Abs(genMID)==23";
244	<	TH1F* hLM4 = plotEff(events,kbase,informalname);
243	>	if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
244	>	TH1F* hLM4 = plotEff(events,kbase,informalname,flipped);
245		hLM4->SetMinimum(0.);
246
247		// Nominal function
#	Line 240 | 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)));
269		TString peakcentral("("+TString(mcjzb)+")"+geq_or_leq()+TString(any2string(jzbSel)));
270		TString npeakup("("+TString(mcjzb)+"+"+TString(any2string(TMath::Abs(peakerr)))+")"+ngeq_or_leq()+"-"+TString(any2string(jzbSel)));
271		TString npeakdown("("+TString(mcjzb)+"-"+TString(any2string(TMath::Abs(peakerr)))+")"+ngeq_or_leq()+"-"+TString(any2string(jzbSel)));
272		TString npeakcentral("("+TString(mcjzb)+")"+ngeq_or_leq()+"-"+TString(any2string(jzbSel)));
250	–
273		nBins = 1;
274		string informalname="PeakErrorCalculation";
275		float resup,resdown,rescent;
#	Line 264 | 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;
294		}
295	<	if(TMath::Abs(rescent-resup)>TMath::Abs(rescent-resdown)) result=(TMath::Abs(rescent-resup)/rescent);
296	<	else result=(TMath::Abs(rescent-resdown)/rescent);
295	>	if(TMath::Abs(rescent-resup)>TMath::Abs(rescent-resdown)) result=(TMath::Abs(rescent-resup)/(float)rescent);
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	<	void MCefficiency(TTree *events,float &result, float &resulterr,string mcjzb,bool requireZ,int Neventsinfile, string addcut="", int k = 0) {
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, int flipped, string mcjzb,bool requireZ,int Neventsinfile, string addcut="", int k = 0) {
375	>	if(k<1) write_warning(__FUNCTION__,"Setting automatized to off!"); automatized=false; // only do this once when computing pdf uncertainties
376	>	if(!events) {
377	>	write_error(__FUNCTION__,"Tree passed for efficiency calculation is invalid!");
378	>	result=0;
379	>	resulterr=0;
380	>	return Value(0,0);
381	>	}
382
383		char jzbSelStr[256]; sprintf(jzbSelStr,"%f",jzbSel);
384		// All acceptance cuts at gen. level
385		//TCut kbase("abs(genMll-91.2)<20&&genNjets>2&&genZPt>0&&genJZB"+geq_or_leq()+TString(jzbSelStr)+"&&genId1==-genId2");
386		TCut kbase("");
387	<	if(requireZ) kbase=kbase&&"TMath::Abs(genMID)==23";
387	>
388	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
389	>	if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
390		if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
391		// Corresponding reco. cuts
392	<	TCut ksel("pfJetGoodNum>2&&abs(mll-91.2)<20&&id1==id2&&"+TString(mcjzb)+geq_or_leq()+TString(jzbSelStr));
393	<	TCut ksel2("pfJetGoodNum>2&&abs(mll-91.2)<20&&id1==id2&&"+TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr));
392	>
393	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
394	>	TCut ksel;//("pfJetGoodNum>2"&&cutmass&&"id1==id2&&"+TString(mcjzb)+geq_or_leq()+TString(jzbSelStr));
395	>	TCut ksel2;//("pfJetGoodNum>2"&&cutmass&&"id1==id2&&"+TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr));
396	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
397	>	if(PlottingSetup::RestrictToMassPeak||!ConsiderSignalContaminationForLimits) {
398	>	ksel=TCut("pfJetGoodNum>2"&&cutmass&&"id1==id2&&"+TString(mcjzb)+geq_or_leq()+TString(jzbSelStr));
399	>	ksel2=TCut("pfJetGoodNum>2"&&cutmass&&"id1==id2&&"+TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr));
400	>	if(flipped>0) {
401	>	ksel=TCut("pfJetGoodNum>2"&&cutmass&&"id1==id2&&"+TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr));
402	>	ksel2=TCut("pfJetGoodNum>2"&&cutmass&&"id1==id2&&"+TString(mcjzb)+geq_or_leq()+TString(jzbSelStr));
403	>	}
404	>	} else {
405	>	//for off peak analysis we don't use the OSSF condition here yet so we can recycle these two cuts for the em condition!
406	>	ksel=TCut("pfJetGoodNum>2"&&cutmass&&(TString(mcjzb)+geq_or_leq()+TString(jzbSelStr)));
407	>	ksel2=TCut("pfJetGoodNum>2"&&cutmass&&(TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr)));
408	>	if(flipped>0) {
409	>	ksel=TCut("pfJetGoodNum>2"&&cutmass&&(TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr)));
410	>	ksel2=TCut("pfJetGoodNum>2"&&cutmass&&(TString(mcjzb)+geq_or_leq()+TString(jzbSelStr)));
411	>	}
412	>	}
413	>
414		TCut posSide = kbase&&ksel;
415		TCut negSide = kbase&&ksel2;
416		string sposSide(posSide);
417		string snegSide(negSide);
418		char var[20];
419		sprintf(var, "pdfW[%d]", k);
420	+	if(k==-1) sprintf(var,"1.0");//case in which we don't want to evaluate PDFs
421		string svar(var);
422	<	string newPosSide = "(" + sposSide + ")*" + svar;
423	<	string newNegSide = "(" + snegSide + ")*" + svar;
422	>	string newPosSide = "((id1==id2)&&(" + sposSide + "))*" + svar;
423	>	string newNegSide = "((id1==id2)&&(" + snegSide + "))*" + svar;
424	>	string emnewPosSide = "((id1!=id2)&&(" + sposSide + "))*" + svar; // only used for off peak analysis
425	>	string emnewNegSide = "((id1!=id2)&&(" + snegSide + "))*" + svar; // only used for off peak analysis
426
427		TH1F *effh= new TH1F("effh","effh",1,-14000,14000);
428		if(k>=0)events->Draw((mcjzbexpression+">>effh").c_str(), newPosSide.c_str(),"goff");
429	<	else events->Draw((mcjzbexpression+">>effh").c_str(), sposSide.c_str(),"goff");
429	>	else events->Draw((mcjzbexpression+">>effh").c_str(), (sposSide+"&&(id1==id2)").c_str(),"goff");//the OSSF condition is added for the offpeak analysis, in onpeak case it's there already but doesn't change anything.
430		Float_t sel = effh->Integral();
431		Float_t nsel=0;
432	+
433	+	///----------------------------------------------- THIS PART REQUIRES STUDYING! -------------------------
434	+
435		if(ConsiderSignalContaminationForLimits) {
436	<	if(k>=0)events->Draw((mcjzbexpression+">>effh").c_str(), newNegSide.c_str(),"goff");
437	<	else events->Draw((mcjzbexpression+">>effh").c_str(), snegSide.c_str(),"goff");
438	<	nsel = effh->Integral();
436	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
437	>	if(PlottingSetup::RestrictToMassPeak) {
438	>	events->Draw((mcjzbexpression+">>effh").c_str(), newNegSide.c_str(),"goff");
439	>	nsel += effh->Integral();
440	>	} else {
441	>	events->Draw((mcjzbexpression+">>effh").c_str(), newNegSide.c_str(),"goff");
442	>	nsel += effh->Integral();
443	>	events->Draw((mcjzbexpression+">>effh").c_str(), emnewPosSide.c_str(),"goff");
444	>	nsel += effh->Integral();
445	>	events->Draw((mcjzbexpression+">>effh").c_str(), emnewNegSide.c_str(),"goff");
446	>	nsel -= effh->Integral();
447	>	}
448		}
449	+
450		//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.
451		float normFactor = 1;
452	<	if(k>=0) get_norm_pdf_factor(events, k);
452	>	if(k>=0) get_norm_pdf_factor(events, k, addcut);
453		sel = sel/normFactor;
454		nsel = nsel/normFactor;
455
#	Line 317 | Line 457 | void MCefficiency(TTree *events,float &r
457		//      Float_t tot = events->GetSelectedRows();
458		Float_t tot = Neventsinfile;
459
460	+	Value result_wo_signalcont;
461	+
462		if(ConsiderSignalContaminationForLimits) {
463		result=(sel-nsel)/tot;
464		resulterr=(1.0/tot)*TMath::Sqrt(sel+nsel+(sel-nsel)*(sel-nsel)/tot);
465	+	result_wo_signalcont=Value(sel/tot,TMath::Sqrt(sel/tot*(1+sel/tot)/tot));
466		} else {//no signal contamination considered:
467		result=(sel)/tot;
468		resulterr=TMath::Sqrt(sel/tot*(1+sel/tot)/tot);
469	+	result_wo_signalcont=Value(result,resulterr);
470		}
471	<	if(!automatized) dout << "  MC efficiency: " << result << "+-" << resulterr << "  ( JZB>" << jzbSel << " : " << sel << " , JZB<-" << jzbSel << " : " << nsel << " and nevents=" << tot << ") with normFact=" << normFactor << std::endl;
471	>	if(!automatized && k>0 ) dout << "PDF assessment [" << k << "] : ";
472	>	if(!automatized) dout << "  MC efficiency: " << result << "+-" << resulterr << "  ( JZB>" << jzbSel << " : " << sel << " , signal contamination : " << nsel << " and nevents=" << tot << ") with normFact=" << normFactor << std::endl;
473		delete effh;
474	+	return result_wo_signalcont;
475		}
476
477
478	+
479		//____________________________________________________________________________________
480		// Selection efficiency for one process (MC)
481	<	vector<float> processMCefficiency(TTree *events,string mcjzb,bool requireZ,int Neventsinfile, string addcut) {
481	>	// not in use anymore.
482	>	/*
483	>	vector<float> processMCefficiency(TTree *events,int flipped, string mcjzb,bool requireZ,int Neventsinfile, string addcut) {
484		vector<float> process_efficiencies;
485		for(int iprocess=0;iprocess<=10;iprocess++) {
486		float this_process_efficiency,efferr;
487		stringstream addcutplus;
488		addcutplus<<addcut<<"&&(process=="<<iprocess<<")";
489	<	MCefficiency(events,this_process_efficiency, efferr,mcjzb,requireZ,Neventsinfile, addcutplus.str(),-1);
489	>	MCefficiency(events,this_process_efficiency, efferr,flipped,mcjzb,requireZ,Neventsinfile, addcutplus.str(),-1);
490		process_efficiencies.push_back(this_process_efficiency);
491		}
492		return process_efficiencies;
493		}
494	<
494	>	*/
495
496	<	void JZBefficiency(TTree *events, string informalname, float &jzbeff, float &jzbefferr, bool requireZ, string addcut="") {
497	<	TCut kbase("abs(genMll-91.2)<20&&genNjets>2&&genZPt>0&&abs(mll-91.2)<20&&((id1+1)*(id2+1)*ch1*ch2)!=-2");
496	>	void JZBefficiency(TTree *events, string informalname, float &jzbeff, float &jzbefferr, int flipped, bool requireZ, string addcut="") {
497	>	TCut kbase(genMassCut&&"genNjets>2&&genZPt>0"&&cutmass&&cutOSSF);
498		if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
499	<	if(requireZ) kbase=kbase&&"TMath::Abs(genMID)==23";
500	<	TH1F* hLM4 = plotEff(events,kbase,informalname);
499	>	if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
500	>	TH1F* hLM4 = plotEff(events,kbase,informalname,flipped);
501		Int_t bin = hLM4->FindBin(jzbSel); // To get the error
502		jzbeff=Interpolate(jzbSel,hLM4);
503		jzbefferr=hLM4->GetBinError(bin);
#	Line 358 | Line 507 | void JZBefficiency(TTree *events, string
507
508		//________________________________________________________________________
509		// Effect of energy scale on efficiency
510	<	void JZBjetScale(TTree *events, float &jesdown, float &jesup, string informalname,bool requireZ,string addcut="",float syst=0.1, Float_t jzbSelection=-1, TString plotName = "" ) {
511	<	TCut kbase("abs(genMll-91.2)<20&&genZPt>0");
510	>	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 = "" ) {
511	>	TCut kbase(genMassCut&&"genZPt>0");
512		if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
513	<	if(requireZ) kbase=kbase&&"TMath::Abs(genMID)==23";
513	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
514	>	if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
515
516	<	TCut ksel("abs(mll-91.2)<20&&((id1+1)*(id2+1)*ch1*ch2)!=-2");
516	>	TCut ksel(cutmass&&cutOSSF);
517		TCut nJets("pfJetGoodNum>2");
518		stringstream down,up;
519		down << "pfJetGoodNum"<<30*(1-syst)<<">=3";
#	Line 375 | Line 525 | void JZBjetScale(TTree *events, float &j
525		if ( !(plotName.Length()>1) ) plotName = informalname;
526
527		nBins = 1; jzbMin = jzbSel*0.95; jzbMax = jzbSel*1.05;
528	<	TH1F* hist = plotEff(events,(kbase&&ksel&&nJets),informalname);
528	>	TH1F* hist = plotEff(events,(kbase&&ksel&&nJets),informalname,flipped);
529
530	<	TH1F* histp = plotEff(events,(kbase&&ksel&&nJetsP),informalname);
530	>	TH1F* histp = plotEff(events,(kbase&&ksel&&nJetsP),informalname,flipped);
531
532	<	TH1F* histm = plotEff(events,(kbase&&ksel&&nJetsM),informalname);
532	>	TH1F* histm = plotEff(events,(kbase&&ksel&&nJetsM),informalname,flipped);
533
534		// Dump some information
535		Float_t eff  = Interpolate(jzbSel,hist);
#	Line 395 | Line 545 | void JZBjetScale(TTree *events, float &j
545
546		//________________________________________________________________________
547		// Effect of energy scale on JZB efficiency
548	<	void doJZBscale(TTree *events, float &down, float &up, float &syst, float systematic, string informalname, bool requireZ, string addcut) {
548	>	void doJZBscale(TTree *events, float &down, float &up, float &syst, float systematic, string informalname, int flipped, bool requireZ, string addcut) {
549
550	<	TCut kbase("abs(genMll-91.2)<20&&genZPt>0&&genNjets>2");
550	>	TCut kbase(genMassCut&&"genZPt>0&&genNjets>2");
551		if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
552	<	if(requireZ) kbase=kbase&&"TMath::Abs(genMID)==23";
553	<	TCut ksel("abs(mll-91.2)<20&&((id1+1)*(id2+1)*ch1*ch2)!=-2");
552	>	flag_this_change(__FUNCTION__,__LINE__,true);//PlottingSetup::RestrictToMassPeak
553	>	if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
554	>	TCut ksel(cutmass&&cutOSSF);
555
556		nBins =    50;
557		jzbMin =   0.5*jzbSel;
558		jzbMax =   2.0*jzbSel;
559
560	<	TH1F* hist = plotEff(events,kbase&&ksel,informalname);
560	>	TH1F* hist = plotEff(events,kbase&&ksel,informalname,flipped);
561
562		// Dump some information
563		Float_t eff  = Interpolate(jzbSel,hist);
564		Float_t effp = Interpolate(jzbSel*(1.+systematic),hist);
565		Float_t effm = Interpolate(jzbSel*(1.-systematic),hist);
566	<	if(!automatized) dout << "  efficiency at JZB==" << jzbSel*(1.+systematic)  << "(-"<<syst*100<<"%) : " << effp << " (" << ((effp-eff)/eff)*100. << "%)"  << std::endl;
566	>	if(!automatized) dout << "  efficiency at JZB==" << jzbSel*(1.+systematic)  << "(-"<<systematic*100<<"%) : " << effp << " (" << ((effp-eff)/eff)*100. << "%)"  << std::endl;
567		if(!automatized) dout << "  efficiency at JZB==" << jzbSel  << ": " << eff << std::endl;
568	<	if(!automatized) dout << "  efficiency at JZB==" << jzbSel*(1.-systematic)  << "(-"<<syst*100<<"%) : " << effm << " (" << ((effm-eff)/eff)*100. << "%)"  << std::endl;
568	>	if(!automatized) dout << "  efficiency at JZB==" << jzbSel*(1.-systematic)  << "(-"<<systematic*100<<"%) : " << effm << " (" << ((effm-eff)/eff)*100. << "%)"  << std::endl;
569		up=((effp-eff)/eff);
570		down=((effm-eff)/eff);
571		}
572
573		//________________________________________________________________________
574		// JZB response (true/reco. vs. true)
575	<	void JZBresponse(TTree *events, bool requireZ, float &resp, float &resperr, string addcut="",bool isMET = kFALSE, Float_t myJzbMax = 200., Int_t nPeriods = 9 ) {
575	>	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 ) {
576
577		jzbMin = 20;
578	<	TCut kbase("abs(genMll-91.2)<20&&genZPt>0&&genNjets>2");
578	>	flag_this_change(__FUNCTION__,__LINE__,false);//PlottingSetup::RestrictToMassPeak
579	>	TCut kbase(genMassCut&&"genZPt>0&&genNjets>2");
580		if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
581	<	if(requireZ) kbase=kbase&&"TMath::Abs(genMID)==23";
582	<	TCut ksel("abs(mll-91.2)<20&&((id1+1)*(id2+1)*ch1*ch2)!=-2");
581	>	flag_this_change(__FUNCTION__,__LINE__,false);//PlottingSetup::RestrictToMassPeak
582	>	if(requireZ&&PlottingSetup::RestrictToMassPeak) kbase=kbase&&"TMath::Abs(genMID)==23";
583	>	flag_this_change(__FUNCTION__,__LINE__,false);//PlottingSetup::RestrictToMassPeak
584	>	TCut ksel(cutmass&&cutOSSF);
585
586		TProfile* hJzbResp = new TProfile("hJzbResp","JZB response  ; JZB true (GeV/c); JZB reco. / JZB true", nPeriods, jzbMin, myJzbMax, "" );
587
588	<	if (!isMET) events->Project("hJzbResp","("+TString(mcjzbexpression)+")/genJZB:genJZB",kbase&&ksel);
588	>	string locmcjzbexpression=mcjzbexpression;
589	>	if(flipped>0) locmcjzbexpression="-"+locmcjzbexpression;
590	>	string possibleminus="";
591	>	if(flipped>0) possibleminus="-";
592	>	if (!isMET) events->Project("hJzbResp","("+TString(locmcjzbexpression)+")/("+possibleminus+"genJZB):("+possibleminus+"genJZB)",kbase&&ksel);
593		else events->Project("hJzbResp","met[4]/genMET:genMET",kbase&&ksel);
594
595		hJzbResp->SetMaximum(1.2);
596		hJzbResp->SetMinimum(0.2);
597		hJzbResp->Fit("pol0","Q");
598		TF1 *fittedfunction = hJzbResp->GetFunction("pol0");
599	<	resp=fittedfunction->GetParameter(0);
600	<	resperr=fittedfunction->GetParError(0);
601	<	if(!automatized) dout << "  Response: " << resp << " +/- " << resperr << endl;
599	>	if(!fittedfunction) {
600	>	// in case there are not enough points passing our selection
601	>	cout << "OOPS response function invalid, assuming 100% error !!!!" << endl;
602	>	resp=1;
603	>	resperr=1;
604	>	} else {
605	>	resp=fittedfunction->GetParameter(0);
606	>	resperr=fittedfunction->GetParError(0);
607	>	if(!automatized) dout << "  Response: " << resp << " +/- " << resperr << endl;
608	>	}
609		delete hJzbResp;
610		}
611
612
613		//________________________________________________________________________________________
614		// PDF uncertainty
615	<	float get_pdf_uncertainty(TTree *events, string mcjzb, bool requireZ, int Neventsinfile, int NPdfs, string addcut="") {
615	>	float get_pdf_uncertainty(TTree *events, int flipped, string mcjzb, bool requireZ, int Neventsinfile, int NPdfs, string addcut="") {
616		std::vector<float> efficiency;
617		for(int k = 1; k < NPdfs; k++) {
618		float result, resulterr;
619	<	MCefficiency(events, result, resulterr, mcjzb, requireZ, Neventsinfile, addcut, k);
619	>	Value flipval;
620	>	MCefficiency(events, result, resulterr, flipped, mcjzb, requireZ, Neventsinfile, addcut, k);
621		efficiency.push_back(result);
622		}
623		float errHi, errLow,err;
#	Line 471 | Line 637 | int get_npdfs(TTree *events) {
637		}
638
639
640	<	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) {
640	>	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) {
641		float JetEnergyScaleUncert=0.1;
642		float JZBScaleUncert=0.1;
643		mcjzbexpression=mcjzb;
644		float triggereff=5.0/100;// in range [0,1]
645		dout << "Trigger efficiency not implemented in this script  yet, still using external one" << endl;
646		float leptonseleff=2.0/100;// in range [0,1]
647	+	leptonseleff=TMath::Sqrt(leptonseleff*leptonseleff+leptonseleff*leptonseleff); // because the 2% is per lepton
648		dout << "Lepton selection efficiency not implemented in this script  yet, still using external one" << endl;
649
650		int NPdfs=0;
#	Line 485 | Line 652 | void do_systematics_for_one_file(TTree *
652
653		float mceff,mcefferr,jzbeff,jzbefferr;
654		if(!automatized) dout << "MC efficiencies:" << endl;
655	<	MCefficiency(events,mceff,mcefferr,mcjzb,requireZ,Neventsinfile,addcut,-1);
656	<	JZBefficiency(events,informalname,jzbeff,jzbefferr,requireZ,addcut);
655	>	Value flipefficiency;
656	>	Value mceff_nosigcont = MCefficiency(events,mceff,mcefferr,flipped,mcjzb,requireZ,Neventsinfile,addcut,-1);
657	>	write_warning(__FUNCTION__,"Flipping business needs attention");
658	>	if(!automatized) cout << "   Without signal contamination, we find an efficiency of " << mceff_nosigcont << endl;
659	>
660	>	if(PlottingSetup::computeJZBefficiency) JZBefficiency(events,informalname,jzbeff,jzbefferr,flipped,requireZ,addcut);
661		if(!automatized) dout << "JZB efficiency: " << jzbeff << "+/-" << jzbefferr << endl;
662
663		if(!automatized) dout << "Error from Peak position:" << endl;
664		float sysfrompeak=0;
665	<	PeakError(events,sysfrompeak,mcjzb,peakerror,addcut);
665	>	PeakError(events,sysfrompeak,mcjzb,peakerror,flipped,addcut);
666
667		if(!automatized) dout << "Jet energy scale: " << std::endl;
668		float jesup,jesdown;
669	<	JZBjetScale(events,jesdown,jesup,informalname,requireZ,addcut,JetEnergyScaleUncert);
669	>	JZBjetScale(events,jesdown,jesup,informalname,flipped,requireZ,addcut,JetEnergyScaleUncert);
670
671		if(!automatized) dout << "JZB scale: " << std::endl;
672		float scaleup,scaledown,scalesyst;
673	<	doJZBscale(events,scaledown,scaleup,scalesyst,JZBScaleUncert,informalname,requireZ,addcut);
673	>	doJZBscale(events,scaledown,scaleup,scalesyst,JZBScaleUncert,informalname,flipped,requireZ,addcut);
674
675		if(!automatized) dout << "JZB response: " << std::endl;
676		float resp,resperr;
677	<	JZBresponse(events,requireZ,resp,resperr,addcut);
677	>	if(PlottingSetup::computeJZBresponse) {
678	>	if(!automatized) dout << "JZB response: " << std::endl;
679	>	JZBresponse(events,requireZ,resp,resperr,flipped,addcut);
680	>	}
681
682		if(!automatized) dout << "Pileup: " << std::endl;
683	<	float resolution=pileup(events,requireZ,informalname,addcut);
683	>	float resolution;
684	>	resolution=pileup(events,requireZ,informalname,flipped,addcut);
685
686		float PDFuncert=0;
687	<	if(ismSUGRA) PDFuncert = get_pdf_uncertainty(events, mcjzb, requireZ, Neventsinfile, NPdfs, addcut);
687	>	if(!automatized) dout << "Assessing PDF uncertainty: " << std::endl;
688	>	if(ismSUGRA) PDFuncert = get_pdf_uncertainty(events, flipped, mcjzb, requireZ, Neventsinfile, NPdfs, addcut);
689
690		dout << "_______________________________________________" << endl;
691		dout << "                 SUMMARY FOR " << informalname << " with JZB>" << jzbSel << "  (all in %) ";
#	Line 523 | Line 699 | void do_systematics_for_one_file(TTree *
699		dout << "Resolution : " << resolution << endl; // in range [0,1]
700		dout << "From peak : " << sysfrompeak << endl; // in range [0,1]
701		if(ismSUGRA) dout << "PDF uncertainty  : " << PDFuncert << endl; // in range [0,1]
702	<	dout << "JZB efficiency: " << jzbeff << "+/-" << jzbefferr << " (not yet included below) " << endl; // in range [0,1]
703	<	dout << "JZB response  : " << resp << " +/-" << resperr << " (not yet included below) " << endl; // in range [0,1]
702	>	if(PlottingSetup::computeJZBefficiency) dout << "JZB efficiency: " << jzbeff << "+/-" << jzbefferr << " (not yet included below) " << endl; // in range [0,1]
703	>	if(PlottingSetup::computeJZBresponse)dout << "JZB response  : " << resp << " +/-" << resperr << " (not yet included below) " << endl; // in range [0,1]
704
705		float toterr=0;
706		toterr+=(triggereff)*(triggereff);
#	Line 540 | Line 716 | void do_systematics_for_one_file(TTree *
716
717		dout << "FINAL RESULT : " << 100*mceff << " +/- "<< 100*mcefferr << " (stat) +/- " << 100*systerr << " (syst)   %" << endl;
718		dout << "     we thus use the sqrt of the sum of the squares of the stat & syst err, which is : " << 100*toterr << endl;
719	+	dout << "_______________________________________________" << endl;
720
721		//Do not modify the lines below or mess with the order; this order is expected by all limit calculating functions!
722		vector<float> res;
#	Line 551 | Line 728 | void do_systematics_for_one_file(TTree *
728		if(fabs(jesup)>fabs(jesdown)) res.push_back(fabs(jesup)); else res.push_back(fabs(jesdown));
729		if(fabs(scaleup)>fabs(scaledown)) res.push_back(fabs(scaleup)); else res.push_back(fabs(scaledown));
730		res.push_back(fabs(resolution));
731	+	res.push_back(mceff_nosigcont.getValue());
732	+	res.push_back(mceff_nosigcont.getError());
733		if(ismSUGRA) res.push_back(PDFuncert);
734		results.push_back(res);
735		}
736
737	<	vector<vector<float> > compute_systematics(string mcjzb, float mcpeakerror, string datajzb, samplecollection &signalsamples, vector<float> bins, bool requireZ=false) {
737	>	vector<vector<float> > compute_systematics(string mcjzb, float mcpeakerror, int flipped, string datajzb, samplecollection &signalsamples, vector<float> bins, bool requireZ=false) {
738		automatized=true;
739		vector< vector<float> > systematics;
740		for (int isignal=0; isignal<signalsamples.collection.size();isignal++) {
#	Line 563 | Line 742 | vector<vector<float> > compute_systemati
742		for(int ibin=0;ibin<bins.size();ibin++) {
743		jzbSel=bins[ibin];
744		geqleq="geq";
745	<	do_systematics_for_one_file((signalsamples.collection)[isignal].events,(signalsamples.collection)[isignal].Nentries,(signalsamples.collection)[isignal].samplename,systematics,mcjzb,datajzb,mcpeakerror,requireZ);
745	>	do_systematics_for_one_file((signalsamples.collection)[isignal].events,(signalsamples.collection)[isignal].Nentries,(signalsamples.collection)[isignal].samplename,systematics,flipped,mcjzb,datajzb,mcpeakerror,requireZ);
746		}//end of bin loop
747		}//end of signal loop
748		return systematics;

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