[ViewVC] Diff of: cvsroot/UserCode/cbrown/Development/Plotting/Modules/EdgeLimit.C

Comparing UserCode/cbrown/Development/Plotting/Modules/EdgeLimit.C (file contents):
Revision 1.1 by buchmann, Tue Jun 12 06:12:29 2012 UTC vs.
Revision 1.13 by buchmann, Wed Jun 12 08:21:59 2013 UTC

+#include <iostream>
-+
+#include <TVirtualIndex.h>
-+
-+
+#include <RooRealVar.h>
-+
+#include <RooArgSet.h>
-+
+#include <RooDataSet.h>
-+
+#include <RooMCStudy.h>
-+
+#include <RooCategory.h>
-+
-+
+#include <RooPlot.h>
-+
+#include <RooSimultaneous.h>
-+
+#include <RooAddPdf.h>
-+
+#include <RooFitResult.h>
-+
+#include <RooVoigtian.h>
-+
+#include <RooMsgService.h>
-+
-+
+#include <RooStats/ModelConfig.h>
-+
+#include "RooStats/ProfileLikelihoodCalculator.h"
-+
+#include "RooStats/LikelihoodInterval.h"
-+
+#include "RooStats/HypoTestResult.h"
-+
+#include "RooStats/SimpleLikelihoodRatioTestStat.h"
-+
+#include "RooStats/ProfileLikelihoodTestStat.h"
-+
+#include "RooStats/HybridCalculatorOriginal.h"
-+
+#include "RooStats/HypoTestInverterOriginal.h"
-+
-+
+//#include "ParametrizedEdge.C"
-+
+#include "EdgeModules/RooSUSYTPdf.cxx"
-+
+#include "EdgeModules/RooSUSYBkgPdf.cxx"
-+
-+
+using namespace std;
+using namespace PlottingSetup;
-+
-+
+ShapeDroplet LimitsFromEdge(float low_fullCLs, float high_CLs, TTree *events, string addcut, string name, string mcjzb, string datajzb, vector<float> jzbbins, float jzbpeakerrormc, float jzbpeakerrordata) {
+  write_error(__FUNCTION__,"Not implemented edge limits yet (returning crap)");
+  ShapeDroplet beta;beta.observed=-12345;beta.SignalIntegral=1;return beta;
-+
+///------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
-+
-+
-+
+namespace EdgeFitter {
-+
-+
+  void DoEdgeFit(string mcjzb, string datajzb, float DataPeakError, float MCPeakError, float jzb_cut, int icut, int is_data, TCut cut, TTree*);
-+
+  void DoEdgeFit(string mcjzb, string datajzb, float DataPeakError, float MCPeakError, vector<float> jzb_cut, int is_data, TCut cut, TTree*);
-+
+  void getMedianLimit(RooWorkspace *ws,vector<RooDataSet> theToys,float &median,float &sigmaDown, float &sigmaUp, float &twoSigmaDown, float &twoSigmaUp);
-+
+  void InitializeVariables(float _mllmin, float _mllmax, float _jzbmax, TCut _cut);
-+
+  void PrepareDatasets(int);
-+
+  void DoFit(int is_data, float jzb_cut);
-+
+  string RandomStorageFile();
-+
+  Yield Get_Z_estimate(float,int);
-+
+  Yield Get_T_estimate(float,int);
-+
+  float calcExclusion(RooWorkspace *ws, RooDataSet data, bool calcExclusion);
-+
+  vector<RooDataSet> generateToys(RooWorkspace *ws, int nToys);
-+
+  void prepareLimits(RooWorkspace *ws, bool ComputeBands);
-+
+  TGraph* prepareLM(float mass, float nEv);
-+
-+
+  float jzbmax;
-+
+  float mllmin;
-+
+  float mllmax;
-+
+  TCut cut;
-+
-+
+  RooDataSet* AllData;
-+
+  RooDataSet* SFSample;
-+
+  RooDataSet* OFSample;
-+
-+
+  bool MarcoDebug=true;
-+
-+
+  float FixedMEdge=-1;
-+
+  float FixedMEdgeChi2=-1;
-+
-+
+}
-+
-+
+TGraph* EdgeFitter::prepareLM(float mass, float nEv) {
-+
+  float massLM[1];
-+
+  massLM[0]=mass;
-+
+  float accEffLM[1];
-+
+  accEffLM[0]=nEv/PlottingSetup::luminosity;
-+
+  TGraph *lm = new TGraph(1, massLM, accEffLM);
-+
+  lm->GetXaxis()->SetNoExponent(true);
-+
+  lm->GetXaxis()->SetTitle("m_{cut} [GeV]");
-+
+  lm->GetYaxis()->SetTitle("#sigma #times A [pb] 95% CL UL");
-+
+  lm->GetXaxis()->SetLimits(0.,300.);
-+
+  lm->GetYaxis()->SetRangeUser(0.,0.08);
-+
+  lm->SetMarkerStyle(34);
-+
+  lm->SetMarkerColor(kRed);
-+
+  return lm;
-+
+}
-+
-+
+vector<RooDataSet> EdgeFitter::generateToys(RooWorkspace *ws, int nToys) {
-+
+  ws->ls();
-+
+  ws->var("nSig")->setVal(0.);
-+
+  ws->var("nSig")->setConstant(true);
-+
+  RooFitResult* fit = ws->pdf("combModel")->fitTo(*ws->data("data_obs"),RooFit::Save());
-+
+  vector<RooDataSet> theToys;
-+
-+
+  RooMCStudy mcEE(*ws->pdf("combModel"),RooArgSet(*ws->var("inv")),RooFit::Slice(*ws->cat("cat"),"EE"));
-+
+  mcEE.generate(nToys,44,true);
-+
+  RooMCStudy mcMM(*ws->pdf("combModel"),RooArgSet(*ws->var("inv")),RooFit::Slice(*ws->cat("cat"),"MM"));
-+
+  mcMM.generate(nToys,44,true);
-+
+  RooMCStudy mcOSOF(*ws->pdf("combModel"),RooArgSet(*ws->var("inv")),RooFit::Slice(*ws->cat("cat"),"OSOF"));
-+
+  mcOSOF.generate(nToys,44,true);
-+
-+
+  RooRealVar mll("m_{ll}","m_{ll}",mllmin,mllmax,"GeV/c^{2}");
-+
+  RooRealVar id1("id1","id1",0,1,"GeV/c^{2}");
-+
+  RooRealVar id2("id2","id2",0,1,"GeV/c^{2}");
-+
+  RooRealVar jzb("jzb","jzb",-jzbmax,jzbmax,"GeV/c");
-+
+  RooRealVar weight("weight","weight",0,1000,"");
-+
+  RooArgSet observables(mll,jzb,id1,id2,weight);
-+
-+
+  for(int i=0;i<nToys;i++) {
-+
+    RooDataSet* toyEE    = (RooDataSet*)mcEE.genData(i);
-+
+    RooDataSet* toyMM    = (RooDataSet*)mcMM.genData(i);
-+
+    RooDataSet* toyOSOF  = (RooDataSet*)mcOSOF.genData(i);
-+
+    stringstream toyname;
-+
+    toyname << "theToy_" << i;
-+
+    write_warning(__FUNCTION__,"Problem while adding toys");
-+
+    RooDataSet toyData = RooDataSet(toyname.str().c_str(),toyname.str().c_str(),observables,RooFit::Index(const_cast<RooCategory&>(*ws->cat("cat"))),RooFit::Import("OSOF",*toyOSOF),RooFit::Import("EE",*toyEE),RooFit::Import("MM",*toyMM));
-+
+    theToys.push_back(toyData);
-+
+  }
-+
+  ws->var("nSig")->setVal(17.0);
-+
+  ws->var("nSig")->setConstant(false);
-+
+  return theToys;
-+
+}
-+
-+
+void EdgeFitter::getMedianLimit(RooWorkspace *ws,vector<RooDataSet> theToys,float &median,float &sigmaDown, float &sigmaUp, float &twoSigmaDown, float &twoSigmaUp) {
-+
+  TH1F *gauLimit = new TH1F("gausLimit","gausLimit",60,0.,80./PlottingSetup::luminosity);
-+
+  vector<float> theLimits;
-+
+  for(int itoy=0;itoy<(int)theToys.size();itoy++) {
-+
+    float theLimit = calcExclusion(ws,theToys[itoy],false);
-+
+    if(theLimit > 0 ) gauLimit->Fill(theLimit);
-+
+  }
-+
+  const Int_t nQ = 4;
-+
+  Double_t yQ[nQ] = {0.,0.,0.,0.};
-+
+  Double_t xQ[nQ] = {0.022750132,0.1586552539,0.84134474609999998,0.977249868};
-+
+  gauLimit->GetQuantiles(nQ,yQ,xQ);
-+
+  median = gauLimit->GetMean();
-+
+//  median = median1(gauLimit);
-+
+  twoSigmaDown = abs(yQ[0]-median);
-+
+  sigmaDown = abs(yQ[1]-median);
-+
+  sigmaUp = abs(yQ[2]-median);
-+
+  twoSigmaUp = abs(yQ[3]-median);
-+
+  cout << median * PlottingSetup::luminosity << " " << sigmaUp * PlottingSetup::luminosity << endl;
-+
+}
-+
-+
+void EdgeFitter::prepareLimits(RooWorkspace *ws, bool ComputeBands) {
-+
+  if(ComputeBands) {
-+
+    vector<RooDataSet> theToys = EdgeFitter::generateToys(ws,50);
-+
+    vector<float> medVals;
-+
+    vector<float> medLimits;
-+
+    vector<float> sigmaLimitsDown;
-+
+    vector<float> sigmaLimitsUp;
-+
+    vector<float> twoSigmaLimitsDown;
-+
+    vector<float> twoSigmaLimitsUp;
-+
+    for(int i=20;i<=320;i+=40) {
-+
+      ws->var("nSig")->setVal(10.0);
-+
+      medVals.push_back((float)i);
-+
+      ws->var("m0")->setVal((float)i);
-+
+      ws->var("m0")->setConstant(true);
-+
+      float Smedian,SsigmaDown,SsigmaUp,StwoSigmaDown,StwoSigmaUp;
-+
+      EdgeFitter::getMedianLimit(ws,theToys,Smedian,SsigmaDown,SsigmaUp,StwoSigmaDown,StwoSigmaUp);
-+
+      medLimits.push_back(Smedian);
-+
+      sigmaLimitsDown.push_back(SsigmaDown);
-+
+      sigmaLimitsUp.push_back(SsigmaUp);
-+
+      twoSigmaLimitsDown.push_back(StwoSigmaDown);
-+
+      twoSigmaLimitsUp.push_back(StwoSigmaUp);
-+
+    }
-+
+    write_warning(__FUNCTION__,"Still need to store limits");
-+
+  } else {
-+
+    vector<float> theVals;
-+
+    vector<float> theLimits;
-+
+    for(int i=20;i<300;i+=5) {
-+
+      ws->var("nSig")->setVal(0.0);
-+
+      theVals.push_back((float)i);
-+
+      ws->var("m0")->setVal((float)i);
-+
+      ws->var("m0")->setConstant(true);
-+
+//      theLimits.push_back(calcExclusion(ws,(RooDataSet)*ws->data("data_obs"),true));
-+
+      write_error(__FUNCTION__,"Error while casting roo data set");
-+
+    }
-+
-+
+    for(int i=0;i<(int)theLimits.size();i++) {
-+
+      if((theLimits[i]<2.0/PlottingSetup::luminosity)||(theLimits[i]>40.0/PlottingSetup::luminosity)) {
-+
+        cout << i << " : " << theVals[i] << endl;
-+
+        theLimits[i] = (theLimits[i+2]+theLimits[i-2])/2.0;
-+
+        write_warning(__FUNCTION__,"Need to store limits");
-+
+      }
-+
+    write_warning(__FUNCTION__,"Need to store limits");
-+
+    }
-+
+}
-+
+}
-+
-+
-+
+float EdgeFitter::calcExclusion(RooWorkspace *ws, RooDataSet data, bool LoadDataObs) {
-+
+  int numberOfToys=50;
-+
+  RooRealVar mu("mu","nSig",0,10000,"");
-+
+  RooArgSet poi = RooArgSet(mu);
-+
+  RooArgSet *nullParams = (RooArgSet*)poi.snapshot();
-+
+  nullParams->setRealValue("nSig",0);
-+
+  RooStats::ModelConfig *model = new RooStats::ModelConfig();
-+
+  model->SetWorkspace(*ws);
-+
+  model->SetPdf("combModel");
-+
+  model->SetParametersOfInterest(poi);
-+
+//  if(LoadDataObs) data = (RooDataSet)*ws->data("data_obs");
-+
-+
+  RooStats::ProfileLikelihoodCalculator plc(data, *model);
-+
+  plc.SetNullParameters(*nullParams);
-+
+  plc.SetTestSize(0.05);
-+
-+
+  RooStats::LikelihoodInterval* interval = plc.GetInterval();
-+
+  RooStats::HypoTestResult *htr = plc.GetHypoTest();
-+
+  double theLimit = interval->UpperLimit( mu );
-+
+//  double significance = htr->Significance();
-+
-+
+  ws->defineSet("obs","nB");
-+
+  ws->defineSet("poi","nSig");
-+
-+
+  RooStats::ModelConfig b_model = RooStats::ModelConfig("B_model", ws);
-+
+  b_model.SetPdf(*ws->pdf("combModel"));
-+
+  b_model.SetObservables(*ws->set("obs"));
-+
+  b_model.SetParametersOfInterest(*ws->set("poi"));
-+
+  ws->var("nSig")->setVal(0.0);  //# important!
-+
+  b_model.SetSnapshot(*ws->set("poi"));
-+
-+
+  RooStats::ModelConfig sb_model = RooStats::ModelConfig("S+B_model", ws);
-+
+  sb_model.SetPdf(*ws->pdf("combModel"));
-+
+  sb_model.SetObservables(*ws->set("obs"));
-+
+  sb_model.SetParametersOfInterest(*ws->set("poi"));
-+
+  ws->var("nSig")->setVal(64.0); //# important!
-+
+  sb_model.SetSnapshot(*ws->set("poi"));
-+
-+
+  RooStats::SimpleLikelihoodRatioTestStat slrts = RooStats::SimpleLikelihoodRatioTestStat(*b_model.GetPdf(),*sb_model.GetPdf());
-+
+  slrts.SetNullParameters(*b_model.GetSnapshot());
-+
+  slrts.SetAltParameters(*sb_model.GetSnapshot());
-+
+  RooStats::ProfileLikelihoodTestStat profll = RooStats::ProfileLikelihoodTestStat(*b_model.GetPdf());
-+
-+
+  RooStats::HybridCalculatorOriginal hc = RooStats::HybridCalculatorOriginal(data, sb_model, b_model,0,0);
-+
+  hc.SetTestStatistic(2);
-+
+  hc.SetNumberOfToys(numberOfToys);
-+
-+
+  RooStats::HypoTestInverterOriginal hcInv =  RooStats::HypoTestInverterOriginal(hc,*ws->var("nSig"));
-+
+  hcInv.SetTestSize(0.05);
-+
+  hcInv.UseCLs(true);
-+
+  hcInv.RunFixedScan(5,theLimit-0.5,theLimit+0.5);;
-+
+  RooStats::HypoTestInverterResult* hcInt = hcInv.GetInterval();
-+
+  float ulError = hcInt->UpperLimitEstimatedError();
-+
+  theLimit = hcInt->UpperLimit();
-+
+  cout << "Found upper limit : " << theLimit << "+/-" << ulError << endl;
-+
-+
+  return theLimit/PlottingSetup::luminosity;
-+
-+
+}
-+
-+
+TTree* SkimTree(int isample) {
-+
+  TTree* newTree = allsamples.collection[isample].events->CloneTree(0);
-+
+  float xsweight=1.0;
-+
+  if(allsamples.collection[isample].is_data==false) xsweight=luminosity*allsamples.collection[isample].weight;
-+
+  if(EdgeFitter::MarcoDebug) {
-+
+    cout << "   Original tree contains " << allsamples.collection[isample].events->GetEntries() << endl;
-+
+    cout << "   Going to reduce it with cut " << EdgeFitter::cut << endl;
-+
+  }
-+
+  float edgeWeight;
-+
+  newTree->Branch("edgeWeight",&edgeWeight,"edgeWeight/F");
-+
+  float tmll;
-+
+  allsamples.collection[isample].events->SetBranchAddress("mll",&tmll);
-+
+//  int id1,id2;
-+
-+
+  TTreeFormula *select = new TTreeFormula("select", EdgeFitter::cut, allsamples.collection[isample].events);
-+
+  TTreeFormula *Weight = new TTreeFormula("Weight", cutWeight, allsamples.collection[isample].events);
-+
+  float wgt=1.0;
-+
+//  allsamples.collection[isample].events->SetBranchAddress(cutWeight,&wgt);
-+
+  for (Int_t entry = 0 ; entry < allsamples.collection[isample].events->GetEntries() ; entry++) {
-+
+   allsamples.collection[isample].events->LoadTree(entry);
-+
+   if (select->EvalInstance()) {
-+
+     allsamples.collection[isample].events->GetEntry(entry);
-+
+     wgt=Weight->EvalInstance();
-+
+     edgeWeight=wgt*xsweight;
-+
+     newTree->Fill();
-+
+   }
-+
+  }
-+
-+
+  if(EdgeFitter::MarcoDebug) cout << "     Reduced tree contains " << newTree->GetEntries() << " entries " << endl;
-+
+  return newTree;
-+
+}
-+
-+
+void EdgeFitter::InitializeVariables(float _mllmin, float _mllmax, float _jzbmax, TCut _cut) {
-+
+  mllmin=_mllmin;
-+
+  mllmax=_mllmax;
-+
+  jzbmax=_jzbmax;
-+
+  cut=_cut;
-+
+}
-+
-+
+TTree* MergeTrees(vector<TTree*> trees) {
-+
+  TTree * newtree = (TTree*)trees[0]->CloneTree();
-+
+  trees[0]->GetListOfClones()->Remove(newtree);
-+
+  trees[0]->ResetBranchAddresses();
-+
+  newtree->ResetBranchAddresses();
-+
-+
+  for(int itree=1;itree<trees.size();itree++) {
-+
+    newtree->CopyAddresses(trees[itree]);
-+
+    Long64_t nentries = trees[itree]->GetEntries();
-+
+    for (Long64_t iEntry=0;iEntry<nentries;iEntry++) {
-+
+      trees[itree]->GetEntry(iEntry);
-+
+      newtree->Fill();
-+
+    }
-+
+    trees[itree]->ResetBranchAddresses(); // Disconnect from new tree
-+
+    if (newtree->GetTreeIndex()) {
-+
+      newtree->GetTreeIndex()->Append(trees[itree]->GetTreeIndex(),kTRUE);
-+
+    }
-+
+    if (newtree && newtree->GetTreeIndex()) {
-+
+      newtree->GetTreeIndex()->Append(0,kFALSE); // Force the sorting
-+
+    }
-+
+  }
-+
+  return newtree;
-+
+}
-+
-+
-+
-+
+void EdgeFitter::PrepareDatasets(int is_data) {
-+
+  write_warning(__FUNCTION__,"Need to make this function ready for scans as well (use signal from scan samples)");
-+
+//  TFile *tempout = new TFile("tempout.root","RECREATE");
-+
+  vector<TTree*> SkimmedTrees;
-+
+  TTree *SkimmedTree[(int)allsamples.collection.size()];
-+
+  for(int isample=0;isample<(int)allsamples.collection.size();isample++) {
-+
+    if(!allsamples.collection[isample].is_active) continue;
-+
+    if(is_data==1&&allsamples.collection[isample].is_data==false) continue;//kick all samples that aren't data if we're looking for data.
-+
+    if(is_data==1&&allsamples.collection[isample].is_data==false) continue;//kick all samples that aren't data if we're looking for data.
-+
+    if(is_data!=1&&allsamples.collection[isample].is_data==true) continue;//kick all data samples when looking for MC
-+
+    if(is_data!=2&&allsamples.collection[isample].is_signal==true) continue;//remove signal sample if we don't want it.
-+
+    if(EdgeFitter::MarcoDebug) cout << "Considering : " << allsamples.collection[isample].samplename << endl;
-+
+    SkimmedTrees.push_back(SkimTree(isample));
-+
+//      SkimmedTree[isample] = SkimTree(isample);
-+
+//    tempout->cd();
-+
+//    SkimmedTree[isample]->Write();
-+
+//    treelist->Add(SkimmedTree[isample]);
-+
+    //treelist->Add(SkimTree(isample));
-+
+//    allsamples.collection[isample].tfile->Close();
-+
+  }
-+
-+
+  TTree *completetree  = MergeTrees(SkimmedTrees);
-+
-+
+//  for(int isample=0;isample<(int)allsamples.collection.size();isample++) {
-+
+//    if(SkimmedTree[isample]) SkimmedTree[isample]->Delete();
-+
+//  }
-+
-+
+  if(EdgeFitter::MarcoDebug) cout << "Complete tree now contains " << completetree->GetEntries() << " entries " << endl;
-+
-+
+  RooRealVar mll("mll","m_{ll}",mllmin,mllmax,"GeV/c^{2}");
-+
+  RooRealVar id1("id1","id1",0,1,"GeV/c^{2}");
-+
+  RooRealVar id2("id2","id2",0,1,"GeV/c^{2}");
-+
+  //RooRealVar jzb("jzb","jzb",-jzbmax,jzbmax,"GeV/c");
-+
+  RooRealVar edgeWeight("edgeWeight","edgeWeight",0,1000,"");
-+
+  RooArgSet observables(mll,id1,id2,edgeWeight);
-+
-+
+  string title="CMS Data";
-+
+  if(is_data!=1) title="CMS SIMULATION";
-+
+  RooDataSet LAllData("LAllData",title.c_str(),completetree,observables,"","edgeWeight");
-+
+  completetree->Write();
-+
+  delete completetree;
-+
+//  tempout->Close();
-+
-+
+  EdgeFitter::SFSample = (RooDataSet*)LAllData.reduce("id1==id2");
-+
+  EdgeFitter::OFSample = (RooDataSet*)LAllData.reduce("id1!=id2");
-+
+  EdgeFitter::AllData  = (RooDataSet*)LAllData.reduce("id1!=id2||id1==id2");
-+
-+
+  SFSample->SetName("SFSample");
-+
+  OFSample->SetName("OFSample");
-+
+  AllData->SetName("AllData");
-+
-+
+  if(EdgeFitter::MarcoDebug) {
-+
+    cout << "Number of events in data sample = " << AllData->numEntries() << endl;
-+
+    cout << "Number of events in eemm sample = " << SFSample->numEntries() << endl;
-+
+    cout << "Number of events in em sample = " << OFSample->numEntries() << endl;
-+
+  }
-+
-+
+}
-+
-+
+string WriteWithError(float central, float error, int digits) {
-+
+  float ref=central;
-+
+  if(ref<0) ref=-central;
-+
+  int HighestSigDigit = 0;
-+
+  if(ref>1) HighestSigDigit = int(log(ref)/log(10))+1;
-+
+  else HighestSigDigit = int(log(ref)/(log(10)));
-+
-+
+  float divider=pow(10.0,(double(HighestSigDigit-digits)));
-+
-+
+  stringstream result;
-+
+  result << divider*int(central/divider+0.5) << " #pm " << divider*int(error/divider+0.5);
-+
+  return result.str();
-+
+}
-+
-+
-+
+string EdgeFitter::RandomStorageFile() {
-+
+  TRandom3 *r = new TRandom3(0);
-+
+  int rho = (int)r->Uniform(1,10000000);
-+
+  stringstream RandomFile;
-+
+  RandomFile << PlottingSetup::cbafbasedir << "/exchange/TempEdgeFile_" << rho << ".root";
-+
+  delete r;
-+
+  return RandomFile.str();
-+
+}
-+
-+
+Yield EdgeFitter::Get_Z_estimate(float jzb_cut, int icut) {
-+
+  if(MarcoDebug) write_error(__FUNCTION__,"Returning random Z yield");
-+
+  Yield a(123,45,67); return a;
-+
+  return PlottingSetup::allresults.predictions[icut].Zbkg;
-+
+}
-+
-+
+Yield EdgeFitter::Get_T_estimate(float jzb_cut, int icut) {
-+
+  if(MarcoDebug) write_error(__FUNCTION__,"Returning random TTbar yield");
-+
+  Yield a(1234,56,78); return a;
-+
+  return PlottingSetup::allresults.predictions[icut].Flavorsym;
-+
+}
-+
-+
+void EdgeFitter::DoFit(int is_data, float jzb_cut) {
-+
+  RooRealVar mll("mll","m_{ll}",mllmin,mllmax,"GeV/c^{2}");
-+
+  RooRealVar edgeWeight("edgeWeight","edgeWeight",0,1000,"");
-+
+  RooCategory sample("sample","sample") ;
-+
+  sample.defineType("SF");
-+
+  //sample.defineType("mm");
-+
+  sample.defineType("OF");
-+
-+
+  //RooDataSet combData("combData","combined data",mll,Index(sample),Import("SF",*SFSample),Import("mm",*mmSample),Import("OF",*OFSample));
-+
+  RooDataSet combData("combData","combined data",RooArgSet(mll,edgeWeight),RooFit::Index(sample),RooFit::Import("SF",*SFSample),RooFit::Import("OF",*OFSample),RooFit::WeightVar(edgeWeight));
-+
-+
-+
+  //First we make a fit to opposite flavor
-+
+  RooRealVar fttbarOF("fttbarOF", "fttbarOF", 100, 0, 10000);
-+
+  RooRealVar par1ttbarOF("par1ttbarOF", "par1ttbarOF", 1.6, 0.01, 4.0);
-+
+  RooRealVar par2ttbarOF("par2ttbarOF", "par2ttbarOF", 1.0);
-+
+  RooRealVar par3ttbarOF("par3ttbarOF", "par3ttbarOF", 0.028, 0.001, 1.0);
-+
+  RooRealVar par4ttbarOF("par4ttbarOF", "par4ttbarOF", 2.0);
-+
+  RooSUSYBkgPdf ttbarOF("ttbarOF","ttbarOF", mll , par1ttbarOF, par2ttbarOF, par3ttbarOF, par4ttbarOF);
-+
+  RooAddPdf model_OF("model_OF","model_OF", ttbarOF, fttbarOF);
-+
+  RooSimultaneous simPdfOF("simPdfOF","simultaneous pdf", sample) ;
-+
+  simPdfOF.addPdf(model_OF,"OF");
-+
+  RooFitResult *resultOF = simPdfOF.fitTo(combData, RooFit::Save(),RooFit::Extended());
-+
+  resultOF->Print();
-+
-+
+  RooRealVar* resultOFpar1_ = (RooRealVar*) resultOF->floatParsFinal().find("par1ttbarOF");
-+
+  float resultOFpar1 = resultOFpar1_->getVal();
-+
+  //RooRealVar* resultOFpar2_ = (RooRealVar*) resultOF->floatParsFinal().find("par2ttbarOF");
-+
+  //float resultOFpar2 = resultOFpar2_->getVal();
-+
+  //cout << "caca2.txt" << endl;
-+
-+
+  RooRealVar* resultOFpar3_ = (RooRealVar*) resultOF->floatParsFinal().find("par3ttbarOF");
-+
+  float resultOFpar3 = resultOFpar3_->getVal();
-+
-+
+  //RooRealVar* resultOFpar4_ = (RooRealVar*) resultOF->floatParsFinal().find("par4ttbarOF");
-+
+  //float resultOFpar4 = resultOFpar4_->getVal();
-+
+  //cout << "caca4.txt" << endl;
-+
-+
+  float StartingMedge=70;
-+
+  if(EdgeFitter::FixedMEdge>0) StartingMedge=EdgeFitter::FixedMEdge;
-+
-+
-+
+  // Now same flavor
-+
+  RooRealVar fzSF("fzSF", "fzSF", 5, 0, 100000);
-+
+  RooRealVar meanzSF("meanzSF", "meanzSF", 91.1876, 89, 95);
-+
+  //RooRealVar sigmazSF("sigmazSF", "sigmazSF", 0.5);
-+
+  RooRealVar sigmazSF("sigmazSF", "sigmazSF", 5, 0.5, 5);
-+
+  RooRealVar widthzSF("widthzSF", "widthzSF", 2.94);
-+
-+
+  RooRealVar fttbarSF("fttbarSF", "fttbarSF", 100, 0, 100000);
-+
+  RooRealVar par1ttbarSF("par1ttbarSF", "par1ttbarSF", resultOFpar1, 0, 100);
-+
+  RooRealVar par2ttbarSF("par2ttbarSF", "par2ttbarSF", 1.0);
-+
+  RooRealVar par3ttbarSF("par3ttbarSF", "par3ttbarSF", resultOFpar3, 0, 100);
-+
+  RooRealVar par4ttbarSF("par4ttbarSF", "par4ttbarSF", 2.0);
-+
-+
+  RooRealVar fsignalSF("fsignalSF", "fsignalSF", 10, 0, 300);
-+
+  RooRealVar par1signalSF("par1signalSF", "par1signalSF", 45, 20, 100);
-+
+  RooRealVar par2signalSF("par2signalSF", "par2signalSF", 2, 1, 10);
-+
+  RooRealVar par3signalSF("par3signalSF", "par3signalSF", StartingMedge, 0, 300);
-+
-+
+  RooVoigtian zSF("zSF", "zSF", mll, meanzSF, widthzSF, sigmazSF);
-+
-+
+  if(EdgeFitter::FixedMEdge>0) par3signalSF.setConstant();
-+
-+
+  RooSUSYBkgPdf ttbarSF("ttbarSF","ttbarSF", mll , par1ttbarSF, par2ttbarSF, par3ttbarSF, par4ttbarSF);
-+
+  //RooSUSYTPdf signalSF("signalSF","signalSF", mll , par1signalSF, par2signalSF, par3signalSF);
-+
+  RooSUSYTPdf signalSF("signalSF","signalSF", mll , par1signalSF, sigmazSF, par3signalSF);
-+
-+
+/*  par1ttbarSF.setConstant(true);
-+
+  par2ttbarSF.setConstant(true);
-+
+  par3ttbarSF.setConstant(true);
-+
+  par4ttbarSF.setConstant(true);*/
-+
-+
-+
+  //RooAddPdf model_SF("model_SF","model_SF", RooArgList(zSF, ttbarSF, signalSF), RooArgList(fzSF, fttbarSF, fsignalSF));
-+
+  RooAddPdf model_SF("model_SF","model_SF", RooArgList(zSF, ttbarSF, signalSF), RooArgList(fzSF, fttbarSF, fsignalSF));
-+
+  RooAddPdf model_em("model_em","model_em", RooArgList(ttbarSF), RooArgList(fttbarSF));
-+
-+
-+
+  RooSimultaneous simPdf("simPdf","simultaneous pdf",sample) ;
-+
+  simPdf.addPdf(model_SF,"SF") ;
-+
+  simPdf.addPdf(model_em,"em") ;
-+
-+
+  RooFitResult *result = simPdf.fitTo(combData, RooFit::Save(), RooFit::Extended());
-+
+  result->Print();
-+
-+
+  RooPlot* frame1 = mll.frame(RooFit::Bins(int((mllmax-mllmin)/5.0)),RooFit::Title("EE sample")) ;
-+
+  frame1->GetXaxis()->CenterTitle(1);
-+
+  combData.plotOn(frame1,RooFit::Name("SFdata"),RooFit::Cut("sample==sample::SF")) ;
-+
+  simPdf.plotOn(frame1,RooFit::Slice(sample,"SF"),RooFit::Name("FullFit"),RooFit::ProjWData(sample,combData), RooFit::LineColor(kBlack)) ;
-+
+  simPdf.plotOn(frame1,RooFit::Slice(sample,"SF"),RooFit::Name("TTbarSFonly"),RooFit::Components("ttbarSF"),RooFit::ProjWData(sample,combData),RooFit::LineStyle(kDashed)) ;
-+
+  simPdf.plotOn(frame1,RooFit::Slice(sample,"SF"),RooFit::Name("DYSFonly"),RooFit::Components("zSF"), RooFit::ProjWData(sample, combData), RooFit::LineStyle(kDashed), RooFit::LineColor(kRed));
-+
+  simPdf.plotOn(frame1,RooFit::Slice(sample,"SF"),RooFit::Name("SignalSFonly"),RooFit::Components("signalSF"), RooFit::ProjWData(sample, combData), RooFit::LineStyle(kDashed), RooFit::LineColor(kGreen));
-+
-+
+  EdgeFitter::FixedMEdgeChi2 = frame1->chiSquare("FullFit", "SFdata", 3);
-+
-+
-+
+  cout << "Result   : " << endl;
-+
+  cout << "f signal : " << fsignalSF.getVal() << " +/- " << fsignalSF.getError() << endl;
-+
+  cout << "f ttbar  : " << fttbarSF.getVal() << " +/- " << fttbarSF.getError() << endl;
-+
+  cout << "f tt OF  : " << fttbarOF.getVal() << " +/- " << fttbarOF.getError() << endl;
-+
+  cout << "f z SF   : " << fzSF.getVal() << " +/- " << fzSF.getError() << endl;
-+
+  cout << "#Chi^{2}/NDF     : " << EdgeFitter::FixedMEdgeChi2 << endl;
-+
-+
+  // The same plot for the cointrol sample slice
-+
+  RooPlot* frame3 = mll.frame(RooFit::Bins(int((mllmax-mllmin)/5.0)),RooFit::Title("OF sample")) ;
-+
+  frame3->GetXaxis()->CenterTitle(1);
-+
+  frame3->SetMaximum(frame1->GetMaximum());
-+
+  combData.plotOn(frame3,RooFit::Cut("sample==sample::OF")) ;
-+
+  simPdfOF.plotOn(frame3,RooFit::Slice(sample,"OF"),RooFit::ProjWData(sample,combData), RooFit::LineColor(kBlack)) ;
-+
+  simPdfOF.plotOn(frame3,RooFit::Slice(sample,"OF"),RooFit::Components("ttbarOF"),RooFit::ProjWData(sample,combData),RooFit::LineStyle(kDashed)) ;
-+
-+
-+
+  stringstream prefix;
-+
+  if(is_data==data) prefix << "data_";
-+
+  if(is_data==mc) prefix << "mc_";
-+
+  if(is_data==mcwithsignal) prefix << "mcwithS_";
-+
-+
+  prefix << "JZB_" << jzb_cut;
-+
-+
-+
-+
+  TCanvas* c = new TCanvas("rf501_simultaneouspdf","rf403_simultaneouspdf") ;
-+
+  c->cd() ;
-+
+  gPad->SetLeftMargin(0.15);
-+
+  frame1->GetYaxis()->SetTitleOffset(1.4);
-+
+  frame1->Draw();
-+
+  if(is_data==data) DrawPrelim();
-+
+  else DrawPrelim(PlottingSetup::luminosity,true);
-+
+  stringstream infotext;
-+
+  infotext << "#splitline{Fit results (JZB>" << jzb_cut << "): }{#splitline{";
-+
+  infotext << "N(Data) = " << EdgeFitter::SFSample->numEntries() << "}{#splitline{";
-+
+  infotext << "N(Z+Jets) = " << WriteWithError(fzSF.getVal(),fzSF.getError(),3) << "}{#splitline{";
-+
+  infotext << "N(t#bar{t}) = " << WriteWithError(fttbarSF.getVal(),fttbarSF.getError(),3) << "}{#splitline{";
-+
+  infotext << "N(signal) = " << WriteWithError(fsignalSF.getVal(),fsignalSF.getError(),3) << "}{";
-+
+  infotext << "m_{edge} = " << WriteWithError(par3signalSF.getVal(),par3signalSF.getError(),3) << "}}}}}";
-+
-+
+  TLatex *infobox = new TLatex(0.57,0.75,infotext.str().c_str());
-+
+  infobox->SetNDC();
-+
+  infobox->SetTextSize(0.03);
-+
+  infobox->Draw();
-+
+  CompleteSave(c,"Edge/"+prefix.str()+"_SF__MEdgeFix_"+any2string(EdgeFitter::FixedMEdge),false,false);
-+
+  delete c;
-+
-+
+  TCanvas* e = new TCanvas("rf501_simultaneouspdfem","rf403_simultaneouspdfem") ;
-+
+  e->cd();
-+
+  gPad->SetLeftMargin(0.15);
-+
+  frame3->GetYaxis()->SetTitleOffset(1.4);
-+
+  frame3->Draw();
-+
+  if(is_data==data) DrawPrelim();
-+
+  else DrawPrelim(PlottingSetup::luminosity,true);
-+
+  CompleteSave(e,"Edge/"+prefix.str()+"_OF__MEdgeFix_"+any2string(EdgeFitter::FixedMEdge),false,false);
-+
+  delete e;
-+
-+
-+
-+
-+
+/*  TCanvas* f = new TCanvas("rf501_simultaneouspdfem","rf403_simultaneouspdfem") ;
-+
+  f->cd();
-+
+  gPad->SetLeftMargin(0.15);
-+
+  frame4->GetYaxis()->SetTitleOffset(1.4);
-+
+  frame4->Draw();
-+
+  if(is_data==data) DrawPrelim();
-+
+  else DrawPrelim(PlottingSetup::luminosity,true);
-+
+  CompleteSave(f,"Edge/"+prefix.str()+"_SF");
-+
+  delete f;*/
-+
-+
-+
+/*
-+
+  float maxZ=200;
-+
+  RooWorkspace* wspace = new RooWorkspace();
-+
+  stringstream mllvar;
-+
+  mllvar << "mll[" << (mllmax-mllmin)/2 << "," << mllmin << "," << mllmax << "]";
-+
+  wspace->factory(mllvar.str().c_str());
-+
+  wspace->var("mll")->setBins(30);
-+
+  wspace->factory("nSig[1.,0.,100.]");
-+
+  wspace->factory(("nZ[0.04.,0.,"+any2string(maxZ)+"]").c_str());
-+
+  wspace->factory("rME[1.12,1.05,1.19]");
-+
+  wspace->factory("effUncert[1.]");
-+
+  EdgeFitter::prepareLimits(wspace, true);
-+
+*/
-+
-+
+write_warning(__FUNCTION__," A lot missing here to calculate limits");
-+
-+
+}
-+
-+
+void EdgeFitter::DoEdgeFit(string mcjzb, string datajzb, float DataPeakError, float MCPeakError, float jzb_cut, int icut, int is_data, TCut cut, TTree *signalevents=0) {
-+
-+
+  TCut _cut(cut&&PlottingSetup::basiccut&&PlottingSetup::passtrig);
-+
-+
+  TFile *f = new TFile("workingfile.root","RECREATE");
-+
-+
+  EdgeFitter::InitializeVariables(PlottingSetup::iMllLow,PlottingSetup::iMllHigh,PlottingSetup::jzbHigh,_cut);
-+
-+
+  EdgeFitter::PrepareDatasets(is_data);
-+
-+
+  RooFit::MsgLevel msglevel = RooMsgService::instance().globalKillBelow();
-+
+  RooMsgService::instance().setGlobalKillBelow(RooFit::FATAL);
-+
+  write_warning(__FUNCTION__,"Deactivated actual fitting procedure ATM");
-+
-+
-+
+  bool ScanMassRange=true;
-+
-+
-+
-+
+  if(ScanMassRange) {
-+
+    TFile *fscan = new TFile("fscan.root","UPDATE");
-+
+    TGraph *gr = new TGraph();
-+
+    stringstream GrName;
-+
+    GrName << "ScanGraphFor_JZB_" << jzb_cut;
-+
+    gr->SetName(GrName.str().c_str());
-+
-+
+    int i=0;
-+
+    for(float tempMedge=10;tempMedge<=300;tempMedge+=5.0) {
-+
+      write_info(__FUNCTION__,"Now testing Medge="+any2string(tempMedge)+" for JZB>"+any2string(jzb_cut));
-+
+      EdgeFitter::FixedMEdge=tempMedge;
-+
+      EdgeFitter::DoFit(is_data, jzb_cut);
-+
+      gr->SetPoint(i,tempMedge,EdgeFitter::FixedMEdgeChi2);
-+
+      i++;
-+
+    }
-+
-+
+    TCanvas *ScanCan = new TCanvas("ScanCan","ScanCan",500,500);
-+
+    gr->GetXaxis()->SetTitle("m_{edge}");
-+
+    gr->GetXaxis()->CenterTitle();
-+
+    gr->GetYaxis()->SetTitle("#Chi^{2} / NDF");
-+
+    gr->GetYaxis()->CenterTitle();
-+
+    gr->GetYaxis()->SetTitleOffset(0.95);
-+
+    gr->GetXaxis()->SetTitleOffset(0.9);
-+
+    gr->SetLineColor(kBlue);
-+
+    gr->SetTitle("");
-+
+    gr->Draw("AL");
-+
+    stringstream ScanCanSave;
-+
+    ScanCanSave << "Edge/MEdgeScan_JZB_" << jzb_cut;
-+
+    if(is_data) DrawPrelim();
-+
+    else DrawMCPrelim();
-+
+    CompleteSave(ScanCan,ScanCanSave.str());
-+
+    fscan->cd();
-+
+    gr->Write();
-+
+    delete ScanCan;
-+
+    fscan->Close();
-+
+  } else {
-+
+    EdgeFitter::DoFit(is_data, jzb_cut);
-+
+  }
-+
-+
-+
-+
-+
+  EdgeFitter::DoFit(is_data, jzb_cut);
-+
+  RooMsgService::instance().setGlobalKillBelow(msglevel);
-+
-+
-+
+  f->Close();
-+
-+
+}
-+
-+
+void DoEdgeFit(string mcjzb, string datajzb, float DataPeakError, float MCPeakError, vector<float> jzb_cut, int is_data, TCut cut, TTree *signalevents=0) {
-+
+  for(int icut=0;icut<(int)jzb_cut.size();icut++) {
-+
+    stringstream addcut;
-+
+    if(is_data==1) addcut << "(" << datajzb << ">" << jzb_cut[icut] << ")";
-+
+    if(is_data!=1) addcut << "(" << mcjzb << ">" << jzb_cut[icut] << ")";
-+
+    TCut jcut(addcut.str().c_str());
-+
-+
-+
+    EdgeFitter::DoEdgeFit(mcjzb, datajzb, DataPeakError, MCPeakError, jzb_cut[icut], icut, is_data, jcut&&cut, signalevents);
-+
-+
+  }
-+
+}

Diff Legend

-–
+Removed lines
-+
+Added lines
-<
+Changed lines
->
+Changed lines

Comparing UserCode/cbrown/Development/Plotting/Modules/EdgeLimit.C (file contents): Revision 1.1 by buchmann, Tue Jun 12 06:12:29 2012 UTC vs. Revision 1.13 by buchmann, Wed Jun 12 08:21:59 2013 UTC

Diff Legend

Comparing UserCode/cbrown/Development/Plotting/Modules/EdgeLimit.C (file contents):
Revision 1.1 by buchmann, Tue Jun 12 06:12:29 2012 UTC vs.
Revision 1.13 by buchmann, Wed Jun 12 08:21:59 2013 UTC