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Comparing UserCode/cbrown/AnalysisFramework/Plotting/Modules/LimitCalculation.C (file contents):
Revision 1.5 by buchmann, Wed Jul 20 14:34:31 2011 UTC vs.
Revision 1.8 by buchmann, Wed Jul 27 12:16:15 2011 UTC

# Line 1 | Line 1
1   #include <iostream>
2   #include <vector>
3   #include <sys/stat.h>
4 + #include <fstream>
5  
6   #include <TCut.h>
7   #include <TROOT.h>
# Line 257 | Line 258 | void compute_upper_limits_from_counting_
258    for(int icut=0;icut<jzbcuts.size();icut++) {
259      dout << "Region with JZB>" << jzbcuts[icut] << endl;
260      for(int isample=0;isample<signalsamples.collection.size();isample++) {
261 <      dout << limits[icut][0] << "\t" << Round(100*uncertainties[isample*jzbcuts.size()+icut][1],1) << "+/-" << Round(100*uncertainties[isample*jzbcuts.size()+icut][2],1) << " (stat) +/- " << Round(100*uncertainties[isample*jzbcuts.size()+icut][3],1) << " (syst) \t" << Round((vlimits[isample][2*icut]),3) << "\t" << Round(vlimits[isample][2*icut+1],3) << endl;
261 >      dout << limits[isample][0] << "\t" << Round(100*uncertainties[isample*jzbcuts.size()+icut][1],1) << "+/-" << Round(100*uncertainties[isample*jzbcuts.size()+icut][2],1) << " (stat) +/- " << Round(100*uncertainties[isample*jzbcuts.size()+icut][3],1) << " (syst) \t" << Round((vlimits[isample][2*icut]),3) << "\t" << Round(vlimits[isample][2*icut+1],3) << endl;
262      }
263      dout << endl;
264    }
# Line 265 | Line 266 | void compute_upper_limits_from_counting_
266    write_warning("compute_upper_limits_from_counting_experiment","Still need to update the script");
267   }
268  
268 void susy_scan_axis_labeling(TH2F *histo) {
269  histo->GetXaxis()->SetTitle("#Chi_{2}^{0}-LSP");
270  histo->GetXaxis()->CenterTitle();
271  histo->GetYaxis()->SetTitle("m_{#tilde{q}}");
272  histo->GetYaxis()->CenterTitle();
273 }
269  
270 < void scan_susy_space(string mcjzb, string datajzb) {
271 <  TCanvas *c3 = new TCanvas("c3","c3");
277 <  vector<float> binning;
278 <  binning=allsamples.get_optimal_binsize(mcjzb,cutmass&&cutOSSF&&cutnJets,20,50,800);
279 <  float arrbinning[binning.size()];
280 <  for(int i=0;i<binning.size();i++) arrbinning[i]=binning[i];
281 <  TH1F *puredata   = allsamples.Draw("puredata",  datajzb,binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,data,luminosity);
282 <  puredata->SetMarkerSize(DataMarkerSize);
283 <  TH1F *allbgs   = allsamples.Draw("allbgs",  "-"+datajzb,binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,data,luminosity);
284 <  TH1F *allbgsb   = allsamples.Draw("allbgsb",  "-"+datajzb,binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,data,luminosity);
285 <  TH1F *allbgsc   = allsamples.Draw("allbgsc",  datajzb,binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,data,luminosity);
286 <  allbgs->Add(allbgsb,-1);
287 <  allbgs->Add(allbgsc);
288 <  int ndata=puredata->Integral();
289 <  ofstream myfile;
290 <  myfile.open ("susyscan_log.txt");
291 <  TFile *susyscanfile = new TFile("/scratch/fronga/SMS/T5z_SqSqToQZQZ_38xFall10.root");
292 <  TTree *suevents = (TTree*)susyscanfile->Get("events");
293 <  TH2F *exclusionmap = new TH2F("exclusionmap","",20,0,500,20,0,1000);
294 <  TH2F *exclusionmap1s = new TH2F("exclusionmap1s","",20,0,500,20,0,1000);
295 <  TH2F *exclusionmap2s = new TH2F("exclusionmap2s","",20,0,500,20,0,1000);
296 <  TH2F *exclusionmap3s = new TH2F("exclusionmap3s","",20,0,500,20,0,1000);
297 <  
298 <  susy_scan_axis_labeling(exclusionmap);
299 <  susy_scan_axis_labeling(exclusionmap1s);
300 <  susy_scan_axis_labeling(exclusionmap2s);
301 <  susy_scan_axis_labeling(exclusionmap3s);
302 <  
303 <  Int_t MyPalette[100];
304 <  Double_t r[]    = {0., 0.0, 1.0, 1.0, 1.0};
305 <  Double_t g[]    = {0., 0.0, 0.0, 1.0, 1.0};
306 <  Double_t b[]    = {0., 1.0, 0.0, 0.0, 1.0};
307 <  Double_t stop[] = {0., .25, .50, .75, 1.0};
308 <  Int_t FI = TColor::CreateGradientColorTable(5, stop, r, g, b, 100);
309 <  for (int i=0;i<100;i++) MyPalette[i] = FI+i;
310 <  
311 <  gStyle->SetPalette(100, MyPalette);
312 <  
313 <  for(int m23=50;m23<500;m23+=25) {
314 <    for (int m0=(2*(m23-50)+150);m0<=1000;m0+=50)
315 <    {
316 <      c3->cd();
317 <      stringstream drawcondition;
318 <      drawcondition << "pfJetGoodNum>=3&&(TMath::Abs(masses[0]-"<<m0<<")<10&&TMath::Abs(masses[2]-masses[3]-"<<m23<<")<10)&&mll>5&&id1==id2";
319 <      TH1F *puresignal = new TH1F("puresignal","puresignal",binning.size()-1,arrbinning);
320 <      TH1F *puresignall= new TH1F("puresignall","puresignal",binning.size()-1,arrbinning);
321 <      stringstream drawvar,drawvar2;
322 <      drawvar<<mcjzb<<">>puresignal";
323 <      drawvar2<<"-"<<mcjzb<<">>puresignall";
324 <      suevents->Draw(drawvar.str().c_str(),drawcondition.str().c_str());
325 <      suevents->Draw(drawvar2.str().c_str(),drawcondition.str().c_str());
326 <      if(puresignal->Integral()<60) {
327 <        delete puresignal;
328 <        continue;
329 <      }
330 <      puresignal->Add(puresignall,-1);//we need to correct for the signal contamination - we effectively only see (JZB>0)-(JZB<0) !!
331 <      puresignal->Scale(ndata/(20*puresignal->Integral()));//normalizing it to 5% of the data
332 <      stringstream saveas;
333 <      saveas<<"Model_Scan/m0_"<<m0<<"__m23_"<<m23;
334 <      dout << "PLEASE KEEP IN MIND THAT SIGNAL CONTAMINATION IS NOT REALLY TAKEN CARE OF YET DUE TO LOW STATISTICS! SHOULD BE SOMETHING LIKE THIS : "<< endl;
335 < //        TH1F *signalpredlo   = allsamples.Draw("signalpredlo",  "-"+mcjzb,  binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,mc,  luminosity,allsamples.FindSample("LM4"));
336 < //        TH1F *signalpredro   = allsamples.Draw("signalpredro",      mcjzb,  binning, "JZB [GeV]", "events", cutmass&&cutOSOF&&cutnJets,mc,  luminosity,allsamples.FindSample("LM4"));
337 < //        TH1F *puredata       = allsamples.Draw("puredata",          datajzb,binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,data,luminosity);
338 < //        signalpred->Add(signalpredlo,-1);
339 < //        signalpred->Add(signalpredro);
340 < //        puresignal->Add(signalpred,-1);//subtracting signal contamination
341 < //---------------------
342 < //      dout << "(m0,m23)=("<<m0<<","<<m23<<") contains " << puresignal->Integral() << endl;
343 < //    TH1F *puresignal = allsamples.Draw("puresignal",mcjzb,  binning, "JZB [GeV]", "events", cutmass&&cutOSSF&&cutnJets,mc,  luminosity,allsamples.FindSample("LM4"));
344 <      vector<float> results=establish_upper_limits(puredata,allbgs,puresignal,saveas.str(),myfile);  
345 <      if(results.size()==0) {
346 <        delete puresignal;
347 <        continue;
348 <      }
349 <      exclusionmap->Fill(m23,m0,results[0]);
350 <      exclusionmap1s->Fill(m23,m0,results[1]);
351 <      exclusionmap2s->Fill(m23,m0,results[2]);
352 <      exclusionmap3s->Fill(m23,m0,results[3]);
353 <      delete puresignal;
354 <      dout << "(m0,m23)=("<<m0<<","<<m23<<") : 3 sigma at " << results[3] << endl;
355 <    }
356 <  }//end of model scan for loop
357 <  
358 <  dout << "Exclusion Map contains" << exclusionmap->Integral() << " (integral) and entries: " << exclusionmap->GetEntries() << endl;
359 <  c3->cd();
360 <  exclusionmap->Draw("CONTZ");
361 <  CompleteSave(c3,"Model_Scan/CONT/Model_Scan_Mean_values");
362 <  exclusionmap->Draw("COLZ");
363 <  CompleteSave(c3,"Model_Scan/COL/Model_Scan_Mean_values");
364 <  
365 <  exclusionmap1s->Draw("CONTZ");
366 <  CompleteSave(c3,"Model_Scan/CONT/Model_Scan_1sigma_values");
367 <  exclusionmap1s->Draw("COLZ");
368 <  CompleteSave(c3,"Model_Scan/COL/Model_Scan_1sigma_values");
369 <  
370 <  exclusionmap2s->Draw("CONTZ");
371 <  CompleteSave(c3,"Model_Scan/CONT/Model_Scan_2sigma_values");
372 <  exclusionmap2s->Draw("COLZ");
373 <  CompleteSave(c3,"Model_Scan/COL/Model_Scan_2sigma_values");
374 <  
375 <  exclusionmap3s->Draw("CONTZ");
376 <  CompleteSave(c3,"Model_Scan/CONT/Model_Scan_3sigma_values");
377 <  exclusionmap3s->Draw("COLZ");
378 <  CompleteSave(c3,"Model_Scan/COL/Model_Scan_3sigma_values");
379 <  
380 <  TFile *exclusion_limits = new TFile("exclusion_limits.root","RECREATE");
381 <  exclusionmap->Write();
382 <  exclusionmap1s->Write();
383 <  exclusionmap2s->Write();
384 <  exclusionmap3s->Write();
385 <  exclusion_limits->Close();
386 <  susyscanfile->Close();
387 <  
388 <  myfile.close();
389 < }
270 >
271 > /********************************************************************** new : Limits using SHAPES ***********************************
272  
273  
274 +   SSSSSSSSSSSSSSS hhhhhhh                                                                                      
275 + SS:::::::::::::::Sh:::::h                                                                                      
276 + S:::::SSSSSS::::::Sh:::::h                                                                                      
277 + S:::::S     SSSSSSSh:::::h                                                                                      
278 + S:::::S             h::::h hhhhh         aaaaaaaaaaaaa  ppppp   ppppppppp       eeeeeeeeeeee        ssssssssss  
279 + S:::::S             h::::hh:::::hhh      a::::::::::::a p::::ppp:::::::::p    ee::::::::::::ee    ss::::::::::s  
280 + S::::SSSS          h::::::::::::::hh    aaaaaaaaa:::::ap:::::::::::::::::p  e::::::eeeee:::::eess:::::::::::::s
281 +  SS::::::SSSSS     h:::::::hhh::::::h            a::::app::::::ppppp::::::pe::::::e     e:::::es::::::ssss:::::s
282 +    SSS::::::::SS   h::::::h   h::::::h    aaaaaaa:::::a p:::::p     p:::::pe:::::::eeeee::::::e s:::::s  ssssss
283 +       SSSSSS::::S  h:::::h     h:::::h  aa::::::::::::a p:::::p     p:::::pe:::::::::::::::::e    s::::::s      
284 +            S:::::S h:::::h     h:::::h a::::aaaa::::::a p:::::p     p:::::pe::::::eeeeeeeeeee        s::::::s  
285 +            S:::::S h:::::h     h:::::ha::::a    a:::::a p:::::p    p::::::pe:::::::e           ssssss   s:::::s
286 + SSSSSSS     S:::::S h:::::h     h:::::ha::::a    a:::::a p:::::ppppp:::::::pe::::::::e          s:::::ssss::::::s
287 + S::::::SSSSSS:::::S h:::::h     h:::::ha:::::aaaa::::::a p::::::::::::::::p  e::::::::eeeeeeee  s::::::::::::::s
288 + S:::::::::::::::SS  h:::::h     h:::::h a::::::::::aa:::ap::::::::::::::pp    ee:::::::::::::e   s:::::::::::ss  
289 + SSSSSSSSSSSSSSS    hhhhhhh     hhhhhhh  aaaaaaaaaa  aaaap::::::pppppppp        eeeeeeeeeeeeee    sssssssssss    
290 +                                                         p:::::p                                                
291 +                                                         p:::::p                                                
292 +                                                        p:::::::p                                                
293 +                                                        p:::::::p                                                
294 +                                                        p:::::::p                                                
295 +                                                        ppppppppp                                                
296 +                                                                                                                
297 +
298 + *********************************************************************** new : Limits using SHAPES ***********************************/
299  
393
394 //********************************************************************** new : Limits using SHAPES ***********************************
300  
301   void limit_shapes_for_systematic_effect(TFile *limfile, string identifier, string mcjzb, string datajzb, int JES,vector<float> binning, TCanvas *limcan) {
302    dout << "Creatig shape templates ... ";
303    if(identifier!="") dout << "for systematic called "<<identifier;
304    dout << endl;
305    int dataormc=mcwithsignal;//this is only for tests - for real life you want dataormc=data !!!
306 <  if(dataormc!=data) write_warning("limit_shapes_for_systematic_effect","WATCH OUT! Not using data for limits!!!! this is ok for tests, but not ok for anything official!");
306 >  if(dataormc!=data) write_warning(__FUNCTION__,"WATCH OUT! Not using data for limits!!!! this is ok for tests, but not ok for anything official!");
307    
308    TCut limitnJetcut;
309    if(JES==noJES) limitnJetcut=cutnJets;
# Line 498 | Line 403 | void prepare_datacard(TFile *f) {
403  
404   ofstream datacard;
405   ensure_directory_exists(get_directory()+"/limits");
406 < datacard.open ((get_directory()+"/limits/susylm4datacard.txt").c_str());
406 > datacard.open ((get_directory()+"/limits/susydatacard.txt").c_str());
407   datacard << "Writing this to a file.\n";
408   datacard << "imax 1\n";
409   datacard << "jmax 1\n";
# Line 534 | Line 439 | void prepare_limits(string mcjzb, string
439    limit_shapes_for_systematic_effect(limfile,"JESDown",mcjzb,datajzb,JESdown,jzbbins,limcan);
440    
441    prepare_datacard(limfile);
537  
538  write_info("prepare_limits","limitfile.root and datacard.txt have been generated. You can now use them to calculate limits!");
442    limfile->Close();
443 +  write_info("prepare_limits","limitfile.root and datacard.txt have been generated. You can now use them to calculate limits!");
444    
445   }

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