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root/cvsroot/UserCode/cbrown/AnalysisFramework/Plotting/Modules/Systematics.C
Revision: 1.25
Committed: Wed Aug 31 13:04:10 2011 UTC (13 years, 8 months ago) by buchmann
Content type: text/plain
Branch: MAIN
Changes since 1.24: +1 -4 lines
Log Message:
This is the definitive implementation of the PDF uncertainties

File Contents

# Content
1 #include <iostream>
2 #include <vector>
3 #include <sys/stat.h>
4
5 #include <TMath.h>
6 #include <TColor.h>
7 #include <TPaveText.h>
8 #include <TRandom.h>
9 #include <TF1.h>
10
11 #ifndef SampleClassLoaded
12 #include "ActiveSamples.C"
13 #endif
14
15 #ifndef Verbosity
16 #define Verbosity 0
17 #endif
18
19 #include <TFile.h>
20 #include <TTree.h>
21 #include <TH1.h>
22 #include <TCut.h>
23 #include <TMath.h>
24 #include <TLine.h>
25 #include <TCanvas.h>
26 #include <TProfile.h>
27 #include <TF1.h>
28
29
30
31 Int_t nBins = 100;
32 Float_t jzbMin = -207;
33 Float_t jzbMax = 243;
34 Float_t jzbSel = 100;
35 int iplot=0;
36 int verbose=0;
37 string geqleq;
38 string mcjzbexpression;
39 bool automatized=false;//if we're running this fully automatized we don't want each function to flood the screen
40
41 TString geq_or_leq() {
42 if(geqleq=="geq") return TString(">=");
43 if(geqleq=="leq") return TString("<=");
44 return TString("GEQ_OR_LEQ_ERROR");
45 }
46
47 TString ngeq_or_leq() {
48 if(geqleq=="geq") return TString("<=");
49 if(geqleq=="leq") return TString(">=");
50 return TString("NGEQ_OR_LEQ_ERROR");
51 }
52
53 //______________________________________________________________________________
54 Double_t Interpolate(Double_t x, TH1 *histo)
55 {
56 // Given a point x, approximates the value via linear interpolation
57 // based on the two nearest bin centers
58 // Andy Mastbaum 10/21/08
59 // in newer ROOT versions but not in the one I have so I had to work around that ...
60
61 Int_t xbin = histo->FindBin(x);
62 Double_t x0,x1,y0,y1;
63
64 if(x<=histo->GetBinCenter(1)) {
65 return histo->GetBinContent(1);
66 } else if(x>=histo->GetBinCenter(histo->GetNbinsX())) {
67 return histo->GetBinContent(histo->GetNbinsX());
68 } else {
69 if(x<=histo->GetBinCenter(xbin)) {
70 y0 = histo->GetBinContent(xbin-1);
71 x0 = histo->GetBinCenter(xbin-1);
72 y1 = histo->GetBinContent(xbin);
73 x1 = histo->GetBinCenter(xbin);
74 } else {
75 y0 = histo->GetBinContent(xbin);
76 x0 = histo->GetBinCenter(xbin);
77 y1 = histo->GetBinContent(xbin+1);
78 x1 = histo->GetBinCenter(xbin+1);
79 }
80 return y0 + (x-x0)*((y1-y0)/(x1-x0));
81 }
82 }
83
84 //____________________________________________________________________________________
85 // Plotting with all contributions, i.e. sidebands, peak, osof,ossf ... (for a systematic)
86 float allcontributionsplot(TTree* events, TCut kBaseCut, TCut kMassCut, TCut kSidebandCut, TCut JZBPosCut, TCut JZBNegCut) {
87 iplot++;
88 int count=iplot;
89 // Define new histogram
90 string hname=GetNumericHistoName();
91 TH1F* hossfp = new TH1F(hname.c_str(),hname.c_str(),1,-14000,14000);
92 events->Draw(TString(mcjzbexpression)+">>"+TString(hname),kBaseCut&&kMassCut&&JZBPosCut&&cutOSSF,"goff");
93 hname=GetNumericHistoName();
94 TH1F* hossfn = new TH1F(hname.c_str(),hname.c_str(),1,-14000,14000);
95 events->Draw(TString(mcjzbexpression)+">>"+TString(hname),kBaseCut&&kMassCut&&JZBNegCut&&cutOSSF,"goff");
96
97 hname=GetNumericHistoName();
98 TH1F* hosofp = new TH1F(hname.c_str(),hname.c_str(),1,-14000,14000);
99 events->Draw(TString(mcjzbexpression)+">>"+TString(hname),kBaseCut&&kMassCut&&JZBPosCut&&cutOSOF,"goff");
100 hname=GetNumericHistoName();
101 TH1F* hosofn = new TH1F(hname.c_str(),hname.c_str(),1,-14000,14000);
102 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");
117
118 float obs = hossfp->Integral();
119 float pred= hossfn->Integral() + (1.0/3)*( hosofp->Integral() - hosofn->Integral() + sbhossfp->Integral() - sbhossfn->Integral() + sbhosofp->Integral() - sbhosofn->Integral());
120
121 delete hossfp,hossfn,hosofp,hosofn;
122 delete sbhossfp,sbhossfn,sbhosofp,sbhosofn;
123 return obs-pred;
124 }
125
126
127 //____________________________________________________________________________________
128 // Efficiency plot
129 TH1F* plotEff(TTree* events, TCut kbase, TString informalname) {
130 iplot++;
131 int count=iplot;
132 // Define new histogram
133 char hname[30]; sprintf(hname,"hJzbEff%d",count);
134 TH1F* hJzbEff = new TH1F(hname,"JZB selection efficiency ; JZB (GeV/c); Efficiency",
135 nBins,jzbMin,jzbMax);
136 Float_t step = (jzbMax-jzbMin)/static_cast<Float_t>(nBins);
137
138 events->Draw(mcjzbexpression.c_str(),"genJZB>-400"&&kbase,"goff");
139 Float_t maxEff = events->GetSelectedRows();
140 if(verbose>0) dout << hname << " (" << informalname <<") " << maxEff << std::endl;
141
142 if(verbose>0) dout << "JZB max = " << jzbMax << std::endl;
143 // Loop over steps to get efficiency curve
144 char cut[256];
145 for ( Int_t iBin = 0; iBin<nBins; ++iBin ) {
146 sprintf(cut,"genJZB>%3f",jzbMin+iBin*step);
147 events->Draw(mcjzbexpression.c_str(),TCut(cut)&&kbase,"goff");
148 Float_t eff = static_cast<Float_t>(events->GetSelectedRows())/maxEff;
149 // dout << "COUCOU " << __LINE__ << std::endl;
150 hJzbEff->SetBinContent(iBin+1,eff);
151 hJzbEff->SetBinError(iBin+1,TMath::Sqrt(eff*(1-eff)/maxEff));
152 }
153 return hJzbEff;
154
155
156 }
157
158
159 //________________________________________________________________________________________
160 // Master Formula
161 void master_formula(std::vector<float> eff, float &errHi, float &errLo) {
162
163 float x0 = eff[0];
164 float deltaPos = 0, deltaNeg = 0;
165 for(int k = 0; k < (eff.size()-1)/2; k++) {
166 float xneg = eff[2*k+2];
167 float xpos = eff[2*k+1];
168 if(xpos-x0>0 || xneg-x0>0) {
169 if(xpos-x0 > xneg-x0) {
170 deltaPos += (xpos-x0)*(xpos-x0);
171 } else {
172 deltaPos += (xneg-x0)*(xneg-x0);
173 }
174 }
175 if(x0-xpos>0 || x0-xneg>0) {
176 if(x0-xpos > x0-xneg) {
177 deltaNeg += (xpos-x0)*(xpos-x0);
178 } else {
179 deltaNeg += (xneg-x0)*(xneg-x0);
180 }
181 }
182 }
183 errHi = sqrt(deltaPos);
184 errLo = sqrt(deltaNeg);
185
186 }
187
188
189 //________________________________________________________________________________________
190 // Get normalization factor for the PDFs
191 float get_norm_pdf_factor(TTree *events, int k) {
192
193 TH1F *haux = new TH1F("haux", "", 10000, 0, 5);
194 char nameVar[20];
195 sprintf(nameVar, "pdfW[%d]", k);
196 events->Project("haux", nameVar);
197 float thisW = haux->Integral();
198 events->Project("haux", "pdfW[0]");
199 float normW = haux->Integral();
200
201 float factor=thisW/normW;
202
203 delete haux;
204
205 return factor;
206
207 }
208
209
210
211 //________________________________________________________________________________________
212 // Pile-up efficiency
213 float pileup(TTree *events, bool requireZ, string informalname, string addcut="",Float_t myJzbMax = 140. ) {
214 nBins = 16;
215 jzbMax = myJzbMax;
216
217 // Acceptance cuts
218 TCut kbase("abs(genMll-91.2)<20&&genNjets>2&&genZPt>0&&abs(mll-91.2)<20&&((id1+1)*(id2+1)*ch1*ch2)!=-2");
219 if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
220
221 if(requireZ) kbase=kbase&&"TMath::Abs(genMID)==23";
222 TH1F* hLM4 = plotEff(events,kbase,informalname);
223 hLM4->SetMinimum(0.);
224
225 // Nominal function
226 TF1* func = new TF1("func","0.5*TMath::Erfc([0]*x-[1])",jzbMin,jzbMax);
227 func->SetParameter(0,0.03);
228 func->SetParameter(1,0.);
229 hLM4->Fit(func,"Q");
230
231 // Pimped-up function
232 TF1* funcUp = (TF1*)func->Clone();
233 funcUp->SetParameter( 0., func->GetParameter(0)/1.1); // 10% systematic error (up in sigma => 0.1 in erfc)
234 if(!automatized) dout << " PU: " << funcUp->Eval(jzbSel) << " " << func->Eval(jzbSel)
235 << "(" << (funcUp->Eval(jzbSel)-func->Eval(jzbSel))/func->Eval(jzbSel)*100. << "%)" << std::endl;
236
237 return (funcUp->Eval(jzbSel)-func->Eval(jzbSel))/func->Eval(jzbSel);
238
239 }
240
241 //____________________________________________________________________________________
242 // Effect of peak shifting
243 void PeakError(TTree *events,float &result, string mcjzb, float peakerr,string addcut="") {
244 TString peakup("("+TString(mcjzb)+"+"+TString(any2string(TMath::Abs(peakerr)))+")"+geq_or_leq()+TString(any2string(jzbSel)));
245 TString peakdown("("+TString(mcjzb)+"-"+TString(any2string(TMath::Abs(peakerr)))+")"+geq_or_leq()+TString(any2string(jzbSel)));
246 TString peakcentral("("+TString(mcjzb)+")"+geq_or_leq()+TString(any2string(jzbSel)));
247 TString npeakup("("+TString(mcjzb)+"+"+TString(any2string(TMath::Abs(peakerr)))+")"+ngeq_or_leq()+"-"+TString(any2string(jzbSel)));
248 TString npeakdown("("+TString(mcjzb)+"-"+TString(any2string(TMath::Abs(peakerr)))+")"+ngeq_or_leq()+"-"+TString(any2string(jzbSel)));
249 TString npeakcentral("("+TString(mcjzb)+")"+ngeq_or_leq()+"-"+TString(any2string(jzbSel)));
250
251 nBins = 1;
252 string informalname="PeakErrorCalculation";
253 float resup,resdown,rescent;
254 for(int i=0;i<3;i++) {
255 string poscut,negcut;
256 if(i==0) {
257 poscut=peakcentral;
258 negcut=npeakcentral;
259 } else if(i==1) {
260 poscut=peakdown;
261 negcut=npeakdown;
262 } else if(i==2) {
263 poscut=peakup;
264 negcut=npeakup;
265 }
266 float res;
267 if(addcut=="") res=allcontributionsplot(events,cutnJets,cutmass,sidebandcut,poscut.c_str(),negcut.c_str());
268 else res=allcontributionsplot(events,cutnJets&&addcut.c_str(),cutmass,sidebandcut,poscut.c_str(),negcut.c_str());
269 if(i==0) rescent=res;
270 else if(i==1) resdown=res;
271 else if(i==2) resup=res;
272 }
273 if(TMath::Abs(rescent-resup)>TMath::Abs(rescent-resdown)) result=(TMath::Abs(rescent-resup)/rescent);
274 else result=(TMath::Abs(rescent-resdown)/rescent);
275 }
276
277 //____________________________________________________________________________________
278 // Total selection efficiency (MC)
279 void MCefficiency(TTree *events,float &result, float &resulterr,string mcjzb,bool requireZ,int Neventsinfile, string addcut="", int k = 0) {
280
281 char jzbSelStr[256]; sprintf(jzbSelStr,"%f",jzbSel);
282 // All acceptance cuts at gen. level
283 //TCut kbase("abs(genMll-91.2)<20&&genNjets>2&&genZPt>0&&genJZB"+geq_or_leq()+TString(jzbSelStr)+"&&genId1==-genId2");
284 TCut kbase("");
285 if(requireZ) kbase=kbase&&"TMath::Abs(genMID)==23";
286 if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
287 // Corresponding reco. cuts
288 TCut ksel("pfJetGoodNum>2&&abs(mll-91.2)<20&&id1==id2&&"+TString(mcjzb)+geq_or_leq()+TString(jzbSelStr));
289 TCut ksel2("pfJetGoodNum>2&&abs(mll-91.2)<20&&id1==id2&&"+TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr));
290 TCut posSide = kbase&&ksel;
291 TCut negSide = kbase&&ksel2;
292 string sposSide(posSide);
293 string snegSide(negSide);
294 char var[20];
295 sprintf(var, "pdfW[%d]", k);
296 string svar(var);
297 string newPosSide = "(" + sposSide + ")*" + svar;
298 string newNegSide = "(" + snegSide + ")*" + svar;
299
300 TH1F *effh= new TH1F("effh","effh",1,-14000,14000);
301 events->Draw((mcjzbexpression+">>effh").c_str(), newPosSide.c_str(),"goff");
302 Float_t sel = effh->Integral();
303 Float_t nsel=0;
304 if(ConsiderSignalContaminationForLimits) {
305 events->Draw((mcjzbexpression+">>effh").c_str(), newNegSide.c_str(),"goff");
306 nsel = effh->Integral();
307 }
308 //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.
309 float normFactor = get_norm_pdf_factor(events, k);
310 sel = sel/normFactor;
311 nsel = nsel/normFactor;
312
313 // events->Draw(mcjzbexpression.c_str(),kbase,"goff");
314 // Float_t tot = events->GetSelectedRows();
315 Float_t tot = Neventsinfile;
316
317 if(ConsiderSignalContaminationForLimits) {
318 result=(sel-nsel)/tot;
319 resulterr=(1.0/tot)*TMath::Sqrt(sel+nsel+(sel-nsel)*(sel-nsel)/tot);
320 } else {//no signal contamination considered:
321 result=(sel)/tot;
322 resulterr=TMath::Sqrt(sel/tot*(1+sel/tot)/tot);
323 }
324 if(!automatized) dout << " MC efficiency: " << result << "+-" << resulterr << " ( JZB>" << jzbSel << " : " << sel << " , JZB<-" << jzbSel << " : " << nsel << " and nevents=" << tot << ") with normFact=" << normFactor << std::endl;
325 delete effh;
326 }
327
328 void JZBefficiency(TTree *events, string informalname, float &jzbeff, float &jzbefferr, bool requireZ, string addcut="") {
329 TCut kbase("abs(genMll-91.2)<20&&genNjets>2&&genZPt>0&&abs(mll-91.2)<20&&((id1+1)*(id2+1)*ch1*ch2)!=-2");
330 if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
331 if(requireZ) kbase=kbase&&"TMath::Abs(genMID)==23";
332 TH1F* hLM4 = plotEff(events,kbase,informalname);
333 Int_t bin = hLM4->FindBin(jzbSel); // To get the error
334 jzbeff=Interpolate(jzbSel,hLM4);
335 jzbefferr=hLM4->GetBinError(bin);
336 if(!automatized) dout << " Efficiency at JZB==" << jzbSel << std::endl;
337 if(!automatized) dout << " " << jzbeff << "+-" << jzbefferr << std::endl;
338 }
339
340 //________________________________________________________________________
341 // Effect of energy scale on efficiency
342 void JZBjetScale(TTree *events, float &jesdown, float &jesup, string informalname,bool requireZ,string addcut="",float syst=0.1, Float_t jzbSelection=-1, TString plotName = "" ) {
343 TCut kbase("abs(genMll-91.2)<20&&genZPt>0");
344 if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
345 if(requireZ) kbase=kbase&&"TMath::Abs(genMID)==23";
346
347 TCut ksel("abs(mll-91.2)<20&&((id1+1)*(id2+1)*ch1*ch2)!=-2");
348 TCut nJets("pfJetGoodNum>2");
349 stringstream down,up;
350 down << "pfJetGoodNum"<<30*(1-syst)<<">=3";
351 up << "pfJetGoodNum"<<30*(1+syst)<<">=3";
352
353 TCut nJetsP(up.str().c_str());
354 TCut nJetsM(down.str().c_str());
355
356 if ( !(plotName.Length()>1) ) plotName = informalname;
357
358 nBins = 1; jzbMin = jzbSel*0.95; jzbMax = jzbSel*1.05;
359 TH1F* hist = plotEff(events,(kbase&&ksel&&nJets),informalname);
360
361 TH1F* histp = plotEff(events,(kbase&&ksel&&nJetsP),informalname);
362
363 TH1F* histm = plotEff(events,(kbase&&ksel&&nJetsM),informalname);
364
365 // Dump some information
366 Float_t eff = Interpolate(jzbSel,hist);
367 Float_t effp = Interpolate(jzbSel,histp);
368 Float_t effm = Interpolate(jzbSel,histm);
369 if(!automatized) dout << " Efficiency at JZB==" << jzbSel << std::endl;
370 if(!automatized) dout << " JESup: " << effp << " (" << (effp-eff)/eff*100. << "%)" << std::endl;
371 if(!automatized) dout << " central: " << eff << std::endl;
372 if(!automatized) dout << " JESdown: " << effm << " (" << (effm-eff)/eff*100. << "%)" << std::endl;
373 jesup=(effp-eff)/eff;
374 jesdown=(effm-eff)/eff;
375 }
376
377 //________________________________________________________________________
378 // Effect of energy scale on JZB efficiency
379 void doJZBscale(TTree *events, float &down, float &up, float &syst, float systematic, string informalname, bool requireZ, string addcut) {
380
381 TCut kbase("abs(genMll-91.2)<20&&genZPt>0&&genNjets>2");
382 if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
383 if(requireZ) kbase=kbase&&"TMath::Abs(genMID)==23";
384 TCut ksel("abs(mll-91.2)<20&&((id1+1)*(id2+1)*ch1*ch2)!=-2");
385
386 nBins = 50;
387 jzbMin = 0.5*jzbSel;
388 jzbMax = 2.0*jzbSel;
389
390 TH1F* hist = plotEff(events,kbase&&ksel,informalname);
391
392 // Dump some information
393 Float_t eff = Interpolate(jzbSel,hist);
394 Float_t effp = Interpolate(jzbSel*(1.+systematic),hist);
395 Float_t effm = Interpolate(jzbSel*(1.-systematic),hist);
396 if(!automatized) dout << " efficiency at JZB==" << jzbSel*(1.+systematic) << "(-"<<syst*100<<"%) : " << effp << " (" << ((effp-eff)/eff)*100. << "%)" << std::endl;
397 if(!automatized) dout << " efficiency at JZB==" << jzbSel << ": " << eff << std::endl;
398 if(!automatized) dout << " efficiency at JZB==" << jzbSel*(1.-systematic) << "(-"<<syst*100<<"%) : " << effm << " (" << ((effm-eff)/eff)*100. << "%)" << std::endl;
399 up=((effp-eff)/eff);
400 down=((effm-eff)/eff);
401 }
402
403 //________________________________________________________________________
404 // JZB response (true/reco. vs. true)
405 void JZBresponse(TTree *events, bool requireZ, float &resp, float &resperr, string addcut="",bool isMET = kFALSE, Float_t myJzbMax = 200., Int_t nPeriods = 9 ) {
406
407 jzbMin = 20;
408 TCut kbase("abs(genMll-91.2)<20&&genZPt>0&&genNjets>2");
409 if(addcut!="") kbase=kbase&&addcut.c_str();//this is mostly for SUSY scans (adding requirements on masses)
410 if(requireZ) kbase=kbase&&"TMath::Abs(genMID)==23";
411 TCut ksel("abs(mll-91.2)<20&&((id1+1)*(id2+1)*ch1*ch2)!=-2");
412
413 TProfile* hJzbResp = new TProfile("hJzbResp","JZB response ; JZB true (GeV/c); JZB reco. / JZB true", nPeriods, jzbMin, myJzbMax, "" );
414
415 if (!isMET) events->Project("hJzbResp","("+TString(mcjzbexpression)+")/genJZB:genJZB",kbase&&ksel);
416 else events->Project("hJzbResp","met[4]/genMET:genMET",kbase&&ksel);
417
418 hJzbResp->SetMaximum(1.2);
419 hJzbResp->SetMinimum(0.2);
420 hJzbResp->Fit("pol0","Q");
421 TF1 *fittedfunction = hJzbResp->GetFunction("pol0");
422 resp=fittedfunction->GetParameter(0);
423 resperr=fittedfunction->GetParError(0);
424 if(!automatized) dout << " Response: " << resp << " +/- " << resperr << endl;
425 delete hJzbResp;
426 }
427
428
429 //________________________________________________________________________________________
430 // PDF uncertainty
431 float get_pdf_uncertainty(TTree *events, string mcjzb, bool requireZ, int Neventsinfile, int NPdfs, string addcut="") {
432 std::vector<float> efficiency;
433 for(int k = 1; k < NPdfs; k++) {
434 float result, resulterr;
435 MCefficiency(events, result, resulterr, mcjzb, requireZ, Neventsinfile, addcut, k);
436 efficiency.push_back(result);
437 }
438 float errHi, errLow,err;
439 master_formula(efficiency, errHi, errLow);
440 err=errLow;
441 if(errHi>errLow) err=errHi;
442 if(!automatized) dout << " Uncertainty from PDF: " << errLow << " (low) and " << errHi << "(high) ---> Picked " << err << endl;
443 return err;
444
445 }
446
447 int get_npdfs(TTree *events) {
448 int NPDFs;
449 events->SetBranchAddress("NPdfs",&NPDFs);
450 events->GetEntry(1);
451 return NPDFs;
452 }
453
454
455 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) {
456 float JetEnergyScaleUncert=0.1;
457 float JZBScaleUncert=0.1;
458 mcjzbexpression=mcjzb;
459 float triggereff=4.0/100;// in range [0,1]
460 dout << "Trigger efficiency not implemented in this script yet, still using external one" << endl;
461 float leptonseleff=2.0/100;// in range [0,1]
462 dout << "Lepton selection efficiency not implemented in this script yet, still using external one" << endl;
463
464 int NPdfs=get_npdfs(events);
465
466 float mceff,mcefferr,jzbeff,jzbefferr;
467 if(!automatized) dout << "MC efficiencies:" << endl;
468 MCefficiency(events,mceff,mcefferr,mcjzb,requireZ,Neventsinfile,addcut);
469 JZBefficiency(events,informalname,jzbeff,jzbefferr,requireZ,addcut);
470 if(!automatized) dout << "JZB efficiency: " << jzbeff << "+/-" << jzbefferr << endl;
471
472 if(!automatized) dout << "Error from Peak position:" << endl;
473 float sysfrompeak=0;
474 PeakError(events,sysfrompeak,mcjzb,peakerror,addcut);
475
476 if(!automatized) dout << "Jet energy scale: " << std::endl;
477 float jesup,jesdown;
478 JZBjetScale(events,jesdown,jesup,informalname,requireZ,addcut,JetEnergyScaleUncert);
479
480 if(!automatized) dout << "JZB scale: " << std::endl;
481 float scaleup,scaledown,scalesyst;
482 doJZBscale(events,scaledown,scaleup,scalesyst,JZBScaleUncert,informalname,requireZ,addcut);
483
484 if(!automatized) dout << "JZB response: " << std::endl;
485 float resp,resperr;
486 JZBresponse(events,requireZ,resp,resperr,addcut);
487
488 if(!automatized) dout << "Pileup: " << std::endl;
489 float resolution=pileup(events,requireZ,informalname,addcut);
490
491 float PDFuncert=0;
492 if(ismSUGRA) PDFuncert = get_pdf_uncertainty(events, mcjzb, requireZ, Neventsinfile, NPdfs, addcut);
493
494 dout << "_______________________________________________" << endl;
495 dout << " SUMMARY FOR " << informalname << " with JZB>" << jzbSel << " (all in %) ";
496 if(addcut!="") dout << "With additional cut: " << addcut;
497 dout << endl;
498 dout << "MC efficiency: " << mceff << "+/-" << mcefferr << endl; // in range [0,1]
499 dout << "Trigger efficiency: " << triggereff << endl; // in range [0,1]
500 dout << "Lepton Sel Eff: " << leptonseleff << endl; // in range [0,1]
501 dout << "Jet energy scale: " << jesup << " " << jesdown << endl; // in range [0,1]
502 dout << "JZB Scale Uncert: " << scaledown << " " << scaleup << endl; // in range [0,1]
503 dout << "Resolution : " << resolution << endl; // in range [0,1]
504 dout << "From peak : " << sysfrompeak << endl; // in range [0,1]
505 if(ismSUGRA) dout << "PDF uncertainty : " << PDFuncert << endl; // in range [0,1]
506 dout << "JZB efficiency: " << jzbeff << "+/-" << jzbefferr << " (not yet included below) " << endl; // in range [0,1]
507 dout << "JZB response : " << resp << " +/-" << resperr << " (not yet included below) " << endl; // in range [0,1]
508
509 float toterr=0;
510 toterr+=(triggereff)*(triggereff);
511 toterr+=(leptonseleff)*(leptonseleff);
512 if(fabs(jesup)>fabs(jesdown)) toterr+=(jesup*jesup); else toterr+=(jesdown*jesdown);
513 if(fabs(scaleup)>fabs(scaledown)) toterr+=(scaleup*scaleup); else toterr+=(scaledown*scaledown);
514 toterr+=(resolution*resolution);
515 toterr+=(sysfrompeak*sysfrompeak);
516 if(ismSUGRA) toterr+=(PDFuncert*PDFuncert);
517 dout << "TOTAL SYSTEMATICS: " << TMath::Sqrt(toterr) << " --> " << TMath::Sqrt(toterr)*mceff << endl;
518 float systerr=TMath::Sqrt(toterr)*mceff;
519 toterr=TMath::Sqrt(toterr*mceff*mceff+mcefferr*mcefferr);//also includes stat err!
520
521 dout << "FINAL RESULT : " << 100*mceff << " +/- "<< 100*mcefferr << " (stat) +/- " << 100*systerr << " (syst) %" << endl;
522 dout << " we thus use the sqrt of the sum of the squares of the stat & syst err, which is : " << 100*toterr << endl;
523
524 //Do not modify the lines below or mess with the order; this order is expected by all limit calculating functions!
525 vector<float> res;
526 res.push_back(jzbSel);
527 res.push_back(mceff);
528 res.push_back(mcefferr);
529 res.push_back(toterr);
530 res.push_back(TMath::Sqrt((mcefferr)*(mcefferr)+(toterr*toterr)));
531 if(fabs(jesup)>fabs(jesdown)) res.push_back(fabs(jesup)); else res.push_back(fabs(jesdown));
532 if(fabs(scaleup)>fabs(scaledown)) res.push_back(fabs(scaleup)); else res.push_back(fabs(scaledown));
533 res.push_back(fabs(resolution));
534 if(ismSUGRA) res.push_back(PDFuncert);
535 results.push_back(res);
536 }
537
538 vector<vector<float> > compute_systematics(string mcjzb, float mcpeakerror, string datajzb, samplecollection &signalsamples, vector<float> bins, bool requireZ=false) {
539 automatized=true;
540 vector< vector<float> > systematics;
541 for (int isignal=0; isignal<signalsamples.collection.size();isignal++) {
542 dout << "Looking at signal " << (signalsamples.collection)[isignal].filename << endl;
543 for(int ibin=0;ibin<bins.size();ibin++) {
544 jzbSel=bins[ibin];
545 geqleq="geq";
546 do_systematics_for_one_file((signalsamples.collection)[isignal].events,(signalsamples.collection)[isignal].Nentries,(signalsamples.collection)[isignal].samplename,systematics,mcjzb,datajzb,mcpeakerror,requireZ);
547 }//end of bin loop
548 }//end of signal loop
549 return systematics;
550 }