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", "", 1000, 0, 15); |
194 |
+ |
char nameVar[20]; |
195 |
+ |
sprintf(nameVar, "pdfW[%d]", k); |
196 |
+ |
events->Project("haux", nameVar); |
197 |
+ |
float factor = haux->Integral(); |
198 |
+ |
|
199 |
+ |
delete haux; |
200 |
+ |
|
201 |
+ |
return factor; |
202 |
+ |
|
203 |
+ |
} |
204 |
+ |
|
205 |
+ |
|
206 |
+ |
|
207 |
+ |
//________________________________________________________________________________________ |
208 |
|
// Pile-up efficiency |
209 |
|
float pileup(TTree *events, bool requireZ, string informalname, string addcut="",Float_t myJzbMax = 140. ) { |
210 |
|
nBins = 16; |
272 |
|
|
273 |
|
//____________________________________________________________________________________ |
274 |
|
// Total selection efficiency (MC) |
275 |
< |
void MCefficiency(TTree *events,float &result, float &resulterr,string mcjzb,bool requireZ,int Neventsinfile, string addcut="") { |
275 |
> |
void MCefficiency(TTree *events,float &result, float &resulterr,string mcjzb,bool requireZ,int Neventsinfile, string addcut="", int k = 0) { |
276 |
|
|
277 |
|
char jzbSelStr[256]; sprintf(jzbSelStr,"%f",jzbSel); |
278 |
|
// All acceptance cuts at gen. level |
283 |
|
// Corresponding reco. cuts |
284 |
|
TCut ksel("pfJetGoodNum>2&&abs(mll-91.2)<20&&id1==id2&&"+TString(mcjzb)+geq_or_leq()+TString(jzbSelStr)); |
285 |
|
TCut ksel2("pfJetGoodNum>2&&abs(mll-91.2)<20&&id1==id2&&"+TString(mcjzb)+ngeq_or_leq()+TString("-")+TString(jzbSelStr)); |
286 |
< |
events->Draw(mcjzbexpression.c_str(),kbase&&ksel,"goff"); |
286 |
> |
TCut posSide = kbase&&ksel; |
287 |
> |
TCut negSide = kbase&&ksel2; |
288 |
> |
string sposSide(posSide); |
289 |
> |
string snegSide(negSide); |
290 |
> |
char var[20]; |
291 |
> |
sprintf(var, "pdfW[%d]", k); |
292 |
> |
string svar(var); |
293 |
> |
string newPosSide = "(" + sposSide + ")*" + svar; |
294 |
> |
string newNegSide = "(" + snegSide + ")*" + svar; |
295 |
> |
|
296 |
> |
events->Draw(mcjzbexpression.c_str(), newPosSide.c_str(),"goff"); |
297 |
|
Float_t sel = events->GetSelectedRows(); |
298 |
|
Float_t nsel=0; |
299 |
|
if(ConsiderSignalContaminationForLimits) { |
300 |
< |
events->Draw(mcjzbexpression.c_str(),kbase&&ksel2,"goff"); |
300 |
> |
events->Draw(mcjzbexpression.c_str(), newNegSide.c_str(),"goff"); |
301 |
|
nsel = events->GetSelectedRows(); |
302 |
|
} |
303 |
+ |
//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. |
304 |
+ |
float normFactor = get_norm_pdf_factor(events, k); |
305 |
+ |
sel = sel/normFactor; |
306 |
+ |
nsel = nsel/normFactor; |
307 |
+ |
|
308 |
|
// events->Draw(mcjzbexpression.c_str(),kbase,"goff"); |
309 |
|
// Float_t tot = events->GetSelectedRows(); |
310 |
|
Float_t tot = Neventsinfile; |
420 |
|
} |
421 |
|
|
422 |
|
|
423 |
+ |
//________________________________________________________________________________________ |
424 |
+ |
// PDF uncertainty |
425 |
+ |
float get_pdf_uncertainty(TTree *events, string mcjzb, bool requireZ, int Neventsinfile, string addcut="") { |
426 |
+ |
|
427 |
+ |
int numberOfPDFs = 44; |
428 |
+ |
std::vector<float> efficiency; |
429 |
+ |
for(int k = 1; k < numberOfPDFs; k++) { |
430 |
+ |
float result, resulterr; |
431 |
+ |
MCefficiency(events, result, resulterr, mcjzb, requireZ, Neventsinfile, addcut, k); |
432 |
+ |
efficiency.push_back(result); |
433 |
+ |
} |
434 |
+ |
float errHi, errLow; |
435 |
+ |
master_formula(efficiency, errHi, errLow); |
436 |
+ |
if(errHi>errLow) return errHi; |
437 |
+ |
return errLow; |
438 |
+ |
|
439 |
+ |
} |
440 |
+ |
|
441 |
+ |
|
442 |
+ |
|
443 |
|
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) { |
444 |
|
|
445 |
|
float JetEnergyScaleUncert=0.1; |
474 |
|
|
475 |
|
if(!automatized) dout << "Pileup: " << std::endl; |
476 |
|
float resolution=pileup(events,requireZ,informalname,addcut); |
477 |
< |
|
477 |
> |
|
478 |
|
float PDFuncert=0; |
479 |
< |
if(ismSUGRA) PDFuncert=999;//Pablo will complete this |
480 |
< |
|
479 |
> |
if(ismSUGRA) PDFuncert = get_pdf_uncertainty(events, mcjzb, requireZ, Neventsinfile, addcut); |
480 |
> |
|
481 |
|
dout << "_______________________________________________" << endl; |
482 |
|
dout << " SUMMARY FOR " << informalname << " with JZB>" << jzbSel << " (all in %) "; |
483 |
|
if(addcut!="") dout << "With additional cut: " << addcut; |