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; |
276 |
|
|
277 |
|
//____________________________________________________________________________________ |
278 |
|
// Total selection efficiency (MC) |
279 |
< |
void MCefficiency(TTree *events,float &result, float &resulterr,string mcjzb,bool requireZ,int Neventsinfile, string addcut="") { |
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 |
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 |
< |
events->Draw(mcjzbexpression.c_str(),kbase&&ksel,"goff"); |
291 |
< |
Float_t sel = events->GetSelectedRows(); |
292 |
< |
events->Draw(mcjzbexpression.c_str(),kbase&&ksel2,"goff"); |
293 |
< |
Float_t nsel = events->GetSelectedRows(); |
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 |
> |
if(k>=0)events->Draw((mcjzbexpression+">>effh").c_str(), newPosSide.c_str(),"goff"); |
302 |
> |
else events->Draw((mcjzbexpression+">>effh").c_str(), sposSide.c_str(),"goff"); |
303 |
> |
Float_t sel = effh->Integral(); |
304 |
> |
Float_t nsel=0; |
305 |
> |
if(ConsiderSignalContaminationForLimits) { |
306 |
> |
if(k>=0)events->Draw((mcjzbexpression+">>effh").c_str(), newNegSide.c_str(),"goff"); |
307 |
> |
else events->Draw((mcjzbexpression+">>effh").c_str(), snegSide.c_str(),"goff"); |
308 |
> |
nsel = effh->Integral(); |
309 |
> |
} |
310 |
> |
//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. |
311 |
> |
float normFactor = 1; |
312 |
> |
if(k>=0) get_norm_pdf_factor(events, k); |
313 |
> |
sel = sel/normFactor; |
314 |
> |
nsel = nsel/normFactor; |
315 |
> |
|
316 |
|
// events->Draw(mcjzbexpression.c_str(),kbase,"goff"); |
317 |
|
// Float_t tot = events->GetSelectedRows(); |
318 |
|
Float_t tot = Neventsinfile; |
319 |
|
|
320 |
< |
result=(sel-nsel)/tot; |
321 |
< |
resulterr=TMath::Sqrt(sel/tot*(1-sel/tot)/tot); |
322 |
< |
if(!automatized) dout << " MC efficiency: " << result << "+-" << resulterr << " ( JZB>" << jzbSel << " : " << sel << " , JZB<-" << jzbSel << " : " << nsel << " and nevents=" << tot << ")" << std::endl; |
320 |
> |
if(ConsiderSignalContaminationForLimits) { |
321 |
> |
result=(sel-nsel)/tot; |
322 |
> |
resulterr=(1.0/tot)*TMath::Sqrt(sel+nsel+(sel-nsel)*(sel-nsel)/tot); |
323 |
> |
} else {//no signal contamination considered: |
324 |
> |
result=(sel)/tot; |
325 |
> |
resulterr=TMath::Sqrt(sel/tot*(1+sel/tot)/tot); |
326 |
> |
} |
327 |
> |
if(!automatized) dout << " MC efficiency: " << result << "+-" << resulterr << " ( JZB>" << jzbSel << " : " << sel << " , JZB<-" << jzbSel << " : " << nsel << " and nevents=" << tot << ") with normFact=" << normFactor << std::endl; |
328 |
> |
delete effh; |
329 |
|
} |
330 |
|
|
331 |
|
void JZBefficiency(TTree *events, string informalname, float &jzbeff, float &jzbefferr, bool requireZ, string addcut="") { |
429 |
|
} |
430 |
|
|
431 |
|
|
432 |
< |
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="") { |
432 |
> |
//________________________________________________________________________________________ |
433 |
> |
// PDF uncertainty |
434 |
> |
float get_pdf_uncertainty(TTree *events, string mcjzb, bool requireZ, int Neventsinfile, int NPdfs, string addcut="") { |
435 |
> |
std::vector<float> efficiency; |
436 |
> |
for(int k = 1; k < NPdfs; k++) { |
437 |
> |
float result, resulterr; |
438 |
> |
MCefficiency(events, result, resulterr, mcjzb, requireZ, Neventsinfile, addcut, k); |
439 |
> |
efficiency.push_back(result); |
440 |
> |
} |
441 |
> |
float errHi, errLow,err; |
442 |
> |
master_formula(efficiency, errHi, errLow); |
443 |
> |
err=errLow; |
444 |
> |
if(errHi>errLow) err=errHi; |
445 |
> |
if(!automatized) dout << " Uncertainty from PDF: " << errLow << " (low) and " << errHi << "(high) ---> Picked " << err << endl; |
446 |
> |
return err; |
447 |
> |
|
448 |
> |
} |
449 |
> |
|
450 |
> |
int get_npdfs(TTree *events) { |
451 |
> |
int NPDFs; |
452 |
> |
events->SetBranchAddress("NPdfs",&NPDFs); |
453 |
> |
events->GetEntry(1); |
454 |
> |
return NPDFs; |
455 |
> |
} |
456 |
|
|
457 |
+ |
|
458 |
+ |
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) { |
459 |
|
float JetEnergyScaleUncert=0.1; |
460 |
|
float JZBScaleUncert=0.1; |
461 |
|
mcjzbexpression=mcjzb; |
464 |
|
float leptonseleff=2.0/100;// in range [0,1] |
465 |
|
dout << "Lepton selection efficiency not implemented in this script yet, still using external one" << endl; |
466 |
|
|
467 |
+ |
int NPdfs=0; |
468 |
+ |
if(ismSUGRA) NPdfs = get_npdfs(events); |
469 |
+ |
|
470 |
|
float mceff,mcefferr,jzbeff,jzbefferr; |
471 |
|
if(!automatized) dout << "MC efficiencies:" << endl; |
472 |
< |
MCefficiency(events,mceff,mcefferr,mcjzb,requireZ,Neventsinfile,addcut); |
472 |
> |
MCefficiency(events,mceff,mcefferr,mcjzb,requireZ,Neventsinfile,addcut,-1); |
473 |
|
JZBefficiency(events,informalname,jzbeff,jzbefferr,requireZ,addcut); |
474 |
|
if(!automatized) dout << "JZB efficiency: " << jzbeff << "+/-" << jzbefferr << endl; |
475 |
|
|
491 |
|
|
492 |
|
if(!automatized) dout << "Pileup: " << std::endl; |
493 |
|
float resolution=pileup(events,requireZ,informalname,addcut); |
494 |
< |
|
494 |
> |
|
495 |
> |
float PDFuncert=0; |
496 |
> |
if(ismSUGRA) PDFuncert = get_pdf_uncertainty(events, mcjzb, requireZ, Neventsinfile, NPdfs, addcut); |
497 |
> |
|
498 |
|
dout << "_______________________________________________" << endl; |
499 |
|
dout << " SUMMARY FOR " << informalname << " with JZB>" << jzbSel << " (all in %) "; |
500 |
|
if(addcut!="") dout << "With additional cut: " << addcut; |
506 |
|
dout << "JZB Scale Uncert: " << scaledown << " " << scaleup << endl; // in range [0,1] |
507 |
|
dout << "Resolution : " << resolution << endl; // in range [0,1] |
508 |
|
dout << "From peak : " << sysfrompeak << endl; // in range [0,1] |
509 |
+ |
if(ismSUGRA) dout << "PDF uncertainty : " << PDFuncert << endl; // in range [0,1] |
510 |
|
dout << "JZB efficiency: " << jzbeff << "+/-" << jzbefferr << " (not yet included below) " << endl; // in range [0,1] |
511 |
|
dout << "JZB response : " << resp << " +/-" << resperr << " (not yet included below) " << endl; // in range [0,1] |
512 |
|
|
517 |
|
if(fabs(scaleup)>fabs(scaledown)) toterr+=(scaleup*scaleup); else toterr+=(scaledown*scaledown); |
518 |
|
toterr+=(resolution*resolution); |
519 |
|
toterr+=(sysfrompeak*sysfrompeak); |
520 |
+ |
if(ismSUGRA) toterr+=(PDFuncert*PDFuncert); |
521 |
|
dout << "TOTAL SYSTEMATICS: " << TMath::Sqrt(toterr) << " --> " << TMath::Sqrt(toterr)*mceff << endl; |
522 |
|
float systerr=TMath::Sqrt(toterr)*mceff; |
523 |
|
toterr=TMath::Sqrt(toterr*mceff*mceff+mcefferr*mcefferr);//also includes stat err! |
535 |
|
if(fabs(jesup)>fabs(jesdown)) res.push_back(fabs(jesup)); else res.push_back(fabs(jesdown)); |
536 |
|
if(fabs(scaleup)>fabs(scaledown)) res.push_back(fabs(scaleup)); else res.push_back(fabs(scaledown)); |
537 |
|
res.push_back(fabs(resolution)); |
538 |
+ |
if(ismSUGRA) res.push_back(PDFuncert); |
539 |
|
results.push_back(res); |
540 |
|
} |
541 |
|
|