HistoToWorkspaceFactory.cxx

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// @(#)root/roostats:$Id:  cranmer $
// Author: Kyle Cranmer, Akira Shibata
/*************************************************************************
 * Copyright (C) 1995-2008, Rene Brun and Fons Rademakers.               *
 * All rights reserved.                                                  *
 *                                                                       *
 * For the licensing terms see $ROOTSYS/LICENSE.                         *
 * For the list of contributors see $ROOTSYS/README/CREDITS.             *
 *************************************************************************/
 
////////////////////////////////////////////////////////////////////////////////
 
/** \class RooStats::HistFactory::HistoToWorkspaceFactory
 *  \ingroup HistFactory
 */
 
 
#ifndef __CINT__
#include "RooGlobalFunc.h"
#endif
 
// Roofit/Roostat include
#include "RooDataSet.h"
#include "RooRealVar.h"
#include "RooConstVar.h"
#include "RooAddition.h"
#include "RooProduct.h"
#include "RooProdPdf.h"
#include "RooAddPdf.h"
#include "RooGaussian.h"
#include "RooExponential.h"
#include "RooRandom.h"
#include "RooCategory.h"
#include "RooSimultaneous.h"
#include "RooMultiVarGaussian.h"
#include "RooNumIntConfig.h"
#include "RooMinuit.h"
#include "RooNLLVar.h"
#include "RooProfileLL.h"
#include "RooFitResult.h"
#include "RooDataHist.h"
#include "RooHistPdf.h"
#include "RooWorkspace.h"
#include "RooCustomizer.h"
#include "RooPlot.h"
#include "RooMsgService.h"
#include "RooStats/RooStatsUtils.h"
#include "RooStats/ModelConfig.h"
 
#include "TFile.h"
#include "TCanvas.h"
#include "TH1.h"
#include "TLine.h"
#include "TTree.h"
#include "TStopwatch.h"
#include "TStyle.h"
#include "TVectorD.h"
#include "TMatrixDSym.h"
 
// specific to this package
#include "RooStats/HistFactory/LinInterpVar.h"
#include "RooStats/HistFactory/HistoToWorkspaceFactory.h"
#include "Helper.h"
 
#define VERBOSE
 
#define alpha_Low "-5"
#define alpha_High "5"
#define NoHistConst_Low "0"
#define NoHistConst_High "2000"
 
// use this order for safety on library loading
using namespace RooFit ;
using namespace RooStats ;
using namespace std ;
//using namespace RooMsgService ;
 
ClassImp(RooStats::HistFactory::HistoToWorkspaceFactory);
 
namespace RooStats{
namespace HistFactory{
 
  HistoToWorkspaceFactory::HistoToWorkspaceFactory() :
    fNomLumi(0),
    fLumiError(0),
    fLowBin(0),
    fHighBin(0),   
    fOut_f(0),
    pFile(0)
  {
  }
 
  HistoToWorkspaceFactory::~HistoToWorkspaceFactory(){
    fclose(pFile);
  }
 
  HistoToWorkspaceFactory::HistoToWorkspaceFactory(string filePrefix, string row, vector<string> syst, double nomL, double lumiE, int low, int high, TFile* f):
      fFileNamePrefix(filePrefix),
      fRowTitle(row),
      fSystToFix(syst),
      fNomLumi(nomL),
      fLumiError(lumiE),
      fLowBin(low),
      fHighBin(high),
      fOut_f(f) {
 
    //    fResultsPrefixStr<<"results" << "_" << fNomLumi<< "_" << fLumiError<< "_" << fLowBin<< "_" << fHighBin;
    fResultsPrefixStr<< "_" << fRowTitle;
    while(fRowTitle.find("\\ ")!=string::npos){
      int pos=fRowTitle.find("\\ ");
      fRowTitle.replace(pos, 1, "");
    }
    pFile = fopen ((filePrefix+"_results.table").c_str(),"a"); 
    //RooMsgService::instance().setGlobalKillBelow(RooFit::ERROR) ;
 
  }
 
  string HistoToWorkspaceFactory::FilePrefixStr(string prefix){
 
    stringstream ss;
    ss << prefix << "_" << fNomLumi<< "_" << fLumiError<< "_" << fLowBin<< "_" << fHighBin<< "_"<<fRowTitle;
 
    return ss.str();
  }
 
  void HistoToWorkspaceFactory::ProcessExpectedHisto(TH1* hist,RooWorkspace* proto, string prefix, string productPrefix, string systTerm, double low, double high, int lowBin, int highBin){
    if(hist)
      cout << "processing hist " << hist->GetName() << endl;
    else
      cout << "hist is empty" << endl;
    RooArgSet argset(prefix.c_str());
    string highStr = "inf";
    for(Int_t i=lowBin; i<highBin; ++i){
      std::stringstream str;
      std::stringstream range;
      str<<"_"<<i;
      if(hist)
        range<<"["<<hist->GetBinContent(i+1) << "," << low << "," << highStr << "]";
      else
        range<<"["<< low << "," << high << "]";
      cout << "for bin N"+str.str() << " var " << prefix+str.str()+" with range " << range.str() << endl;
      RooRealVar* var = (RooRealVar*) proto->factory((prefix+str.str()+range.str()).c_str());
 
      // now create the product of the overall efficiency times the sigma(params) for this estimate
      if(! (productPrefix.empty() || systTerm.empty()) )
         proto->factory(("prod:"+productPrefix+str.str()+"("+prefix+str.str()+","+systTerm+")").c_str() );
 
      var->setConstant();
      argset.add(* var );
    }
    proto->defineSet(prefix.c_str(),argset);
    // proto->Print();
  }
 
  void HistoToWorkspaceFactory::AddMultiVarGaussConstraint(RooWorkspace* proto, string prefix,int lowBin, int highBin, vector<string>& likelihoodTermNames){
    // these are the nominal predictions: eg. the mean of some space of variations
    // later fill these in a loop over histogram bins
    TVectorD mean(highBin-lowBin);
    cout << "a" << endl;
    for(Int_t i=lowBin; i<highBin; ++i){
      std::stringstream str;
      str<<"_"<<i;
      RooRealVar* temp = proto->var((prefix+str.str()).c_str());
      mean(i) = temp->getVal();
    }
 
    TMatrixDSym Cov(highBin-lowBin);
    for(int i=lowBin; i<highBin; ++i){
      for(int j=0; j<highBin-lowBin; ++j){
        if(i==j) 
    Cov(i,j) = sqrt(mean(i));
        else
    Cov(i,j) = 0;
      }
    }
    // can't make MultiVarGaussian with factory yet, do it by hand
    RooArgList floating( *(proto->set(prefix.c_str() ) ) );
    RooMultiVarGaussian constraint((prefix+"Constraint").c_str(),"",
             floating, mean, Cov);
             
    proto->import(constraint);
 
    likelihoodTermNames.push_back(constraint.GetName());
 
  }
 
 
  void HistoToWorkspaceFactory::LinInterpWithConstraint(RooWorkspace* proto, TH1* nominal, vector<TH1*> lowHist, vector<TH1*> highHist, 
             vector<string> sourceName, string prefix, string productPrefix, string systTerm, 
             int lowBin, int highBin, vector<string>& likelihoodTermNames){
    // these are the nominal predictions: eg. the mean of some space of variations
    // later fill these in a loop over histogram bins
 
    // make list of abstract parameters that interpolate in space of variations
    RooArgList params( ("alpha_Hist") );
    // range is set using defined macro (see top of the page)
    string range=string("[")+alpha_Low+","+alpha_High+"]";
    for(unsigned int j=0; j<lowHist.size(); ++j){
      std::stringstream str;
      str<<"_"<<j;
 
      RooRealVar* temp = (RooRealVar*) proto->var(("alpha_"+sourceName.at(j)).c_str());
      if(!temp){
        temp = (RooRealVar*) proto->factory(("alpha_"+sourceName.at(j)+range).c_str());
 
        // now add a constraint term for these parameters
        string command=("Gaussian::alpha_"+sourceName.at(j)+"Constraint(alpha_"+sourceName.at(j)+",nom_"+sourceName.at(j)+"[0.,-10,10],1.)");
        cout << command << endl;
        likelihoodTermNames.push_back(  proto->factory( command.c_str() )->GetName() );
   proto->var(("nom_"+sourceName.at(j)).c_str())->setConstant();
   const_cast<RooArgSet*>(proto->set("globalObservables"))->add(*proto->var(("nom_"+sourceName.at(j)).c_str()));
 
      } 
 
      params.add(* temp );
 
    }
 
    // now make function that linearly interpolates expectation between variations
    for(Int_t i=lowBin; i<highBin; ++i){
      std::stringstream str;
      str<<"_"<<i;
 
      // get low/high variations to interpolate between
      vector<double> low, high;
      for(unsigned int j=0; j<lowHist.size(); ++j){
        low.push_back( lowHist.at(j)->GetBinContent(i+1) );
        high.push_back( highHist.at(j)->GetBinContent(i+1) );
        cout << "for "+prefix+" bin "+str.str()+" creating linear interp of nominal " << nominal->GetBinContent(i+1) 
       << " in parameter " << sourceName.at(j)
       << " between " << low.back() << " - " <<  high.back() 
       << " about " <<  100.*fabs(low.back() -  high.back() )/nominal->GetBinContent(i+1) << " % error" 
       << endl;
      }
     
      // this is sigma(params), a piece-wise linear interpolation
      LinInterpVar interp( (prefix+str.str()).c_str(), "", params, nominal->GetBinContent(i+1), low, high);
 
      //    cout << "check: " << interp.getVal() << endl;
      proto->import(interp); // individual params have already been imported in first loop of this function
      
      // now create the product of the overall efficiency times the sigma(params) for this estimate
      proto->factory(("prod:"+productPrefix+str.str()+"("+prefix+str.str()+","+systTerm+")").c_str() );
         
    }             
 
  }
 
  string HistoToWorkspaceFactory::AddNormFactor(RooWorkspace * proto, string & channel, string & sigmaEpsilon, EstimateSummary & es, bool doRatio){
    string overallNorm_times_sigmaEpsilon ;
    string prodNames;
    vector<EstimateSummary::NormFactor> norm=es.normFactor;
    if(norm.size()){
      for(vector<EstimateSummary::NormFactor>::iterator itr=norm.begin(); itr!=norm.end(); ++itr){
        cout << "making normFactor: " << itr->name << endl;
        // remove "doRatio" and name can be changed when ws gets imported to the combined model.
        std::stringstream range;
        range<<"["<<itr->val<<","<<itr->low<<","<<itr->high<<"]";
        //RooRealVar* var = 0;
 
        string varname;
        if(!prodNames.empty()) prodNames+=",";
        if(doRatio) {
          varname=itr->name+"_"+channel;
        }
        else {
          varname=itr->name;
        }
   proto->factory((varname+range.str()).c_str());
   if(itr->constant){
     //    proto->var(varname.c_str())->setConstant();
     //    cout <<"setting " << varname << " constant"<<endl;
     cout <<"WARNING: Const attribute to <NormFactor> tag is deprecated, will ignore."<<
       " Instead, add \n\t<ParamSetting Const=\"True\">"<<varname<<"</ParamSetting>\n"<<
       " to your top-level XML's <Measurment> entry"<< endl;
   }
        prodNames+=varname;
      }
      overallNorm_times_sigmaEpsilon = es.name+"_"+channel+"_overallNorm_x_sigma_epsilon";
      proto->factory(("prod::"+overallNorm_times_sigmaEpsilon+"("+prodNames+","+sigmaEpsilon+")").c_str());
    }
 
    if(!overallNorm_times_sigmaEpsilon.empty())
      return overallNorm_times_sigmaEpsilon;
    else
      return sigmaEpsilon;
  }        
 
 
  void HistoToWorkspaceFactory::AddEfficiencyTerms(RooWorkspace* proto, string prefix, string interpName,
        map<string,pair<double,double> > systMap, 
        vector<string>& likelihoodTermNames, vector<string>& totSystTermNames){
    // add variables for all the relative overall uncertainties we expect
    
    // range is set using defined macro (see top of the page)
    string range=string("[0,")+alpha_Low+","+alpha_High+"]";
    //string range="[0,-1,1]";
    totSystTermNames.push_back(prefix);
    //bool first=true;
    RooArgSet params(prefix.c_str());
    vector<double> lowVec, highVec;
    for(map<string,pair<double,double> >::iterator it=systMap.begin(); it!=systMap.end(); ++it){
      // add efficiency term
      RooRealVar* temp = (RooRealVar*) proto->var((prefix+ it->first).c_str());
      if(!temp){
        temp = (RooRealVar*) proto->factory((prefix+ it->first +range).c_str());
 
        string command=("Gaussian::"+prefix+it->first+"Constraint("+prefix+it->first+",nom_"+prefix+it->first+"[0.,-10,10],1.)");
        cout << command << endl;
        likelihoodTermNames.push_back(  proto->factory( command.c_str() )->GetName() );
   proto->var(("nom_"+prefix+it->first).c_str())->setConstant();
   const_cast<RooArgSet*>(proto->set("globalObservables"))->add(*proto->var(("nom_"+prefix+it->first).c_str()));
 
      } 
      params.add(*temp);
 
      // add constraint in terms of bifrucated gauss with low/high as sigmas
      std::stringstream lowhigh;
      double low = it->second.first; 
      double high = it->second.second;
      lowVec.push_back(low);
      highVec.push_back(high);
      
    }
    if(systMap.size()>0){
      // this is epsilon(alpha_j), a piece-wise linear interpolation
      LinInterpVar interp( (interpName).c_str(), "", params, 1., lowVec, highVec);
      proto->import(interp); // params have already been imported in first loop of this function
    } else{
      // some strange behavior if params,lowVec,highVec are empty.  
      //cout << "WARNING: No OverallSyst terms" << endl;
      RooConstVar interp( (interpName).c_str(), "", 1.);
      proto->import(interp); // params have already been imported in first loop of this function
    }
    
  }
 
 
  void  HistoToWorkspaceFactory::MakeTotalExpected(RooWorkspace* proto, string totName, string /**/, string /**/, 
        int lowBin, int highBin, vector<string>& syst_x_expectedPrefixNames, 
        vector<string>& normByNames){
 
    // for ith bin calculate totN_i =  lumi * sum_j expected_j * syst_j 
 
    for(Int_t i=lowBin; i<highBin; ++i){
      std::stringstream str;
      str<<"_"<<i;
      string command="sum::"+totName+str.str()+"(";
      //vector<string>::iterator it=syst_x_expectedPrefixNames.begin();
      string prepend="";
      for(unsigned int j=0; j<syst_x_expectedPrefixNames.size();++j){
        command+=prepend+normByNames.at(j)+"*"+syst_x_expectedPrefixNames.at(j)+str.str();
        prepend=",";
      }
      command+=")";
      cout << "function to calculate total: " << command << endl;
      proto->factory(command.c_str());
    }
  }
 
  void HistoToWorkspaceFactory::AddPoissonTerms(RooWorkspace* proto, string prefix, string obsPrefix, string expPrefix, int lowBin, int highBin, 
           vector<string>& likelihoodTermNames){
    /////////////////////////////////
    // Relate observables to expected for each bin
    // later modify variable named expPrefix_i to be product of terms
    RooArgSet Pois(prefix.c_str());
    for(Int_t i=lowBin; i<highBin; ++i){
      std::stringstream str;
      str<<"_"<<i;
      //string command("Poisson::"+prefix+str.str()+"("+obsPrefix+str.str()+","+expPrefix+str.str()+")");
      string command("Poisson::"+prefix+str.str()+"("+obsPrefix+str.str()+","+expPrefix+str.str()+",1)");//for no rounding
      RooAbsArg* temp = (proto->factory( command.c_str() ) );
 
      // output
      cout << "Poisson Term " << command << endl;
      ((RooAbsPdf*) temp)->setEvalErrorLoggingMode(RooAbsReal::PrintErrors);
      //cout << temp << endl;
 
      likelihoodTermNames.push_back( temp->GetName() );
      Pois.add(* temp );
    }  
    proto->defineSet(prefix.c_str(),Pois); // add argset to workspace
  }
 
   void HistoToWorkspaceFactory::SetObsToExpected(RooWorkspace* proto, string obsPrefix, string expPrefix, int lowBin, int highBin){ 
    /////////////////////////////////
    // set observed to expected
     TTree* tree = new TTree();
     Double_t* obsForTree = new Double_t[highBin-lowBin];
     RooArgList obsList("obsList");
 
     for(Int_t i=lowBin; i<highBin; ++i){
       std::stringstream str;
       str<<"_"<<i;
       RooRealVar* obs = (RooRealVar*) proto->var((obsPrefix+str.str()).c_str());
       cout << "expected number of events called: " << expPrefix << endl;
       RooAbsReal* exp = proto->function((expPrefix+str.str()).c_str());
       if(obs && exp){
         
         //proto->Print();
         obs->setVal(  exp->getVal() );
         cout << "setting obs"+str.str()+" to expected = " << exp->getVal() << " check: " << obs->getVal() << endl;
         
         // add entry to array and attach to tree
         obsForTree[i] = exp->getVal();
         tree->Branch((obsPrefix+str.str()).c_str(), obsForTree+i ,(obsPrefix+str.str()+"/D").c_str());
         obsList.add(*obs);
       }else{
         cout << "problem retrieving obs or exp " << obsPrefix+str.str() << obs << " " << expPrefix+str.str() << exp << endl;
       }
     }  
     tree->Fill();
     RooDataSet* data = new RooDataSet("expData","", tree, obsList); // one experiment
 
     proto->import(*data);
     delete[] obsForTree;
     obsForTree = nullptr;
  }
 
  void HistoToWorkspaceFactory::Customize(RooWorkspace* proto, const char* pdfNameChar, map<string,string> renameMap) {
    cout << "in customizations" << endl;
    string pdfName(pdfNameChar);
    map<string,string>::iterator it;
    string edit="EDIT::customized("+pdfName+",";
    string precede="";
    for(it=renameMap.begin(); it!=renameMap.end(); ++it) {
      cout << it->first + "=" + it->second << endl;
      edit+=precede + it->first + "=" + it->second;
      precede=",";
    }
    edit+=")";
    cout << edit<< endl;
    proto->factory( edit.c_str() );
  }
 
  //////////////////////////////////////////////////////////////////////////////
  ///    cout << "in edit, gammamap.size = " << gammaSyst.size() << ", unimap.size = " << uniformSyst.size() << endl;
 
  void HistoToWorkspaceFactory::EditSyst(RooWorkspace* proto, const char* pdfNameChar, map<string,double> gammaSyst, map<string,double> uniformSyst,map<string,double> logNormSyst) {
    string pdfName(pdfNameChar);
 
    ModelConfig * combined_config = (ModelConfig *) proto->obj("ModelConfig");
    //    const RooArgSet * constrainedParams=combined_config->GetNuisanceParameters();
    //    RooArgSet temp(*constrainedParams);
    string edit="EDIT::newSimPdf("+pdfName+",";
    string editList;
    string lastPdf=pdfName;
    string precede="";
    unsigned int numReplacements = 0;
    unsigned int nskipped = 0;
    map<string,double>::iterator it;
 
    // add gamma terms and their constraints
    for(it=gammaSyst.begin(); it!=gammaSyst.end(); ++it) {
      //cout << "edit for " << it->first << "with rel uncert = " << it->second << endl;
      if(! proto->var(("alpha_"+it->first).c_str())){
   //cout << "systematic not there" << endl;
   nskipped++; 
   continue;
      }
      numReplacements++;      
 
      double relativeUncertainty = it->second;
      double scale = 1/sqrt((1+1/pow(relativeUncertainty,2)));
      
      // this is the Gamma PDF and in a form that doesn't have roundoff problems like the Poisson does
      proto->factory(Form("beta_%s[1,0,10]",it->first.c_str()));
      proto->factory(Form("y_%s[%f]",it->first.c_str(),1./pow(relativeUncertainty,2))) ;
      proto->factory(Form("theta_%s[%f]",it->first.c_str(),pow(relativeUncertainty,2))) ;
      proto->factory(Form("Gamma::beta_%sConstraint(beta_%s,sum::k_%s(y_%s,one[1]),theta_%s,zero[0])",
           it->first.c_str(),
           it->first.c_str(),
           it->first.c_str(),
           it->first.c_str(),
           it->first.c_str())) ;
 
      /*
      // this has some problems because N in poisson is rounded to nearest integer     
      proto->factory(Form("Poisson::beta_%sConstraint(y_%s[%f],prod::taub_%s(taus_%s[%f],beta_%s[1,0,5]))",
           it->first.c_str(),
           it->first.c_str(),
           1./pow(relativeUncertainty,2),
           it->first.c_str(),
             it->first.c_str(),
           1./pow(relativeUncertainty,2),
           it->first.c_str()
           ) ) ;
      */
      // combined->factory(Form("expr::alphaOfBeta('(beta-1)/%f',beta)",scale));
      // combined->factory(Form("expr::alphaOfBeta_%s('(beta_%s-1)/%f',beta_%s)",it->first.c_str(),it->first.c_str(),scale,it->first.c_str()));
      proto->factory(Form("PolyVar::alphaOfBeta_%s(beta_%s,{%f,%f})",it->first.c_str(),it->first.c_str(),-1./scale,1./scale));
   
      // set beta const status to be same as alpha
      if(proto->var(Form("alpha_%s",it->first.c_str()))->isConstant())
   proto->var(Form("beta_%s",it->first.c_str()))->setConstant(true);
      else
   proto->var(Form("beta_%s",it->first.c_str()))->setConstant(false);
      // set alpha const status to true
      //      proto->var(Form("alpha_%s",it->first.c_str()))->setConstant(true);
 
      // replace alphas with alphaOfBeta and replace constraints
      //cout <<         "alpha_"+it->first+"Constraint=beta_" + it->first+ "Constraint" << endl;
      editList+=precede + "alpha_"+it->first+"Constraint=beta_" + it->first+ "Constraint";
      precede=",";
      //      cout <<         "alpha_"+it->first+"=alphaOfBeta_"+ it->first << endl;
      editList+=precede + "alpha_"+it->first+"=alphaOfBeta_"+ it->first;
 
      /*
      if( proto->pdf(("alpha_"+it->first+"Constraint").c_str()) && proto->var(("alpha_"+it->first).c_str()) )
      cout << " checked they are there" << proto->pdf(("alpha_"+it->first+"Constraint").c_str()) << " " << proto->var(("alpha_"+it->first).c_str()) << endl;
      else
   cout << "NOT THERE" << endl;
      */
 
      // EDIT seems to die if the list of edits is too long.  So chunck them up.
      if(numReplacements%10 == 0 && numReplacements+nskipped!=gammaSyst.size()){
   edit="EDIT::"+lastPdf+"_("+lastPdf+","+editList+")";
   lastPdf+="_"; // append an underscore for the edit
   editList=""; // reset edit list
   precede="";
   cout << "Going to issue this edit command\n" << edit<< endl;
   proto->factory( edit.c_str() );
   RooAbsPdf* newOne = proto->pdf(lastPdf.c_str());
   if(!newOne)
     cout << "\n\n ---------------------\n WARNING: failed to make EDIT\n\n" << endl;
   
      }
    }
 
    // add uniform terms and their constraints
    for(it=uniformSyst.begin(); it!=uniformSyst.end(); ++it) {
      cout << "edit for " << it->first << "with rel uncert = " << it->second << endl;
      if(! proto->var(("alpha_"+it->first).c_str())){
   cout << "systematic not there" << endl;
   nskipped++; 
   continue;
      }
      numReplacements++;      
 
      // this is the Uniform PDF
      proto->factory(Form("beta_%s[1,0,10]",it->first.c_str()));
      proto->factory(Form("Uniform::beta_%sConstraint(beta_%s)",it->first.c_str(),it->first.c_str()));
      proto->factory(Form("PolyVar::alphaOfBeta_%s(beta_%s,{-1,1})",it->first.c_str(),it->first.c_str()));
      
      // set beta const status to be same as alpha
      if(proto->var(Form("alpha_%s",it->first.c_str()))->isConstant())
   proto->var(Form("beta_%s",it->first.c_str()))->setConstant(true);
      else
   proto->var(Form("beta_%s",it->first.c_str()))->setConstant(false);
      // set alpha const status to true
      //      proto->var(Form("alpha_%s",it->first.c_str()))->setConstant(true);
 
      // replace alphas with alphaOfBeta and replace constraints
      cout <<         "alpha_"+it->first+"Constraint=beta_" + it->first+ "Constraint" << endl;
      editList+=precede + "alpha_"+it->first+"Constraint=beta_" + it->first+ "Constraint";
      precede=",";
      cout <<         "alpha_"+it->first+"=alphaOfBeta_"+ it->first << endl;
      editList+=precede + "alpha_"+it->first+"=alphaOfBeta_"+ it->first;
 
      if( proto->pdf(("alpha_"+it->first+"Constraint").c_str()) && proto->var(("alpha_"+it->first).c_str()) )
   cout << " checked they are there" << proto->pdf(("alpha_"+it->first+"Constraint").c_str()) << " " << proto->var(("alpha_"+it->first).c_str()) << endl;
      else
   cout << "NOT THERE" << endl;
 
      // EDIT seems to die if the list of edits is too long.  So chunck them up.
      if(numReplacements%10 == 0 && numReplacements+nskipped!=gammaSyst.size()){
   edit="EDIT::"+lastPdf+"_("+lastPdf+","+editList+")";
   lastPdf+="_"; // append an underscore for the edit
   editList=""; // reset edit list
   precede="";
   cout << edit<< endl;
   proto->factory( edit.c_str() );
   RooAbsPdf* newOne = proto->pdf(lastPdf.c_str());
   if(!newOne)
     cout << "\n\n ---------------------\n WARNING: failed to make EDIT\n\n" << endl;
   
      }
    }
 
    /////////////////////////////////////////
    ////////////////////////////////////
 
 
    // add lognormal terms and their constraints
    for(it=logNormSyst.begin(); it!=logNormSyst.end(); ++it) {
      cout << "edit for " << it->first << "with rel uncert = " << it->second << endl;
      if(! proto->var(("alpha_"+it->first).c_str())){
   cout << "systematic not there" << endl;
   nskipped++; 
   continue;
      }
      numReplacements++;      
 
      double relativeUncertainty = it->second;
      double kappa = 1+relativeUncertainty;
      // when transforming beta -> alpha, need alpha=1 to be +1sigma value.
      // the P(beta>kappa*\hat(beta)) = 16%
      // and \hat(beta) is 1, thus
      double scale = relativeUncertainty;
      //double scale = kappa; 
 
      // this is the LogNormal
      proto->factory(Form("beta_%s[1,0,10]",it->first.c_str()));
      proto->factory(Form("kappa_%s[%f]",it->first.c_str(),kappa));
      proto->factory(Form("Lognormal::beta_%sConstraint(beta_%s,one[1],kappa_%s)",
           it->first.c_str(),
           it->first.c_str(),
           it->first.c_str())) ;
      proto->factory(Form("PolyVar::alphaOfBeta_%s(beta_%s,{%f,%f})",it->first.c_str(),it->first.c_str(),-1./scale,1./scale));
      //      proto->factory(Form("PolyVar::alphaOfBeta_%s(beta_%s,{%f,%f})",it->first.c_str(),it->first.c_str(),-1.,1./scale));
      
      // set beta const status to be same as alpha
      if(proto->var(Form("alpha_%s",it->first.c_str()))->isConstant())
   proto->var(Form("beta_%s",it->first.c_str()))->setConstant(true);
      else
   proto->var(Form("beta_%s",it->first.c_str()))->setConstant(false);
      // set alpha const status to true
      //      proto->var(Form("alpha_%s",it->first.c_str()))->setConstant(true);
 
      // replace alphas with alphaOfBeta and replace constraints
      cout <<         "alpha_"+it->first+"Constraint=beta_" + it->first+ "Constraint" << endl;
      editList+=precede + "alpha_"+it->first+"Constraint=beta_" + it->first+ "Constraint";
      precede=",";
      cout <<         "alpha_"+it->first+"=alphaOfBeta_"+ it->first << endl;
      editList+=precede + "alpha_"+it->first+"=alphaOfBeta_"+ it->first;
 
      if( proto->pdf(("alpha_"+it->first+"Constraint").c_str()) && proto->var(("alpha_"+it->first).c_str()) )
   cout << " checked they are there" << proto->pdf(("alpha_"+it->first+"Constraint").c_str()) << " " << proto->var(("alpha_"+it->first).c_str()) << endl;
      else
   cout << "NOT THERE" << endl;
 
      // EDIT seems to die if the list of edits is too long.  So chunck them up.
      if(numReplacements%10 == 0 && numReplacements+nskipped!=gammaSyst.size()){
   edit="EDIT::"+lastPdf+"_("+lastPdf+","+editList+")";
   lastPdf+="_"; // append an underscore for the edit
   editList=""; // reset edit list
   precede="";
   cout << edit<< endl;
   proto->factory( edit.c_str() );
   RooAbsPdf* newOne = proto->pdf(lastPdf.c_str());
   if(!newOne)
     cout << "\n\n ---------------------\n WARNING: failed to make EDIT\n\n" << endl;
   
      }
    }
 
    /////////////////////////////////////////
    ////////////////////////////////////
 
    // commit last bunch of edits
    edit="EDIT::newSimPdf("+lastPdf+","+editList+")";
    cout << edit<< endl;
    proto->factory( edit.c_str() );
    //    proto->writeToFile(("results/model_"+fRowTitle+"_edited.root").c_str());
    RooAbsPdf* newOne = proto->pdf("newSimPdf");
    if(newOne){
      // newOne->graphVizTree(("results/"+pdfName+"_"+fRowTitle+"newSimPdf.dot").c_str());
      combined_config->SetPdf(*newOne);
    }
    else{
      cout << "\n\n ---------------------\n WARNING: failed to make EDIT\n\n" << endl;
    }
  }
 
  void HistoToWorkspaceFactory::PrintCovarianceMatrix(RooFitResult* result, RooArgSet* params, string filename){
    //    FILE * pFile;
    pFile = fopen ((filename).c_str(),"w"); 
 
 
    TIter iti = params->createIterator();
    TIter itj = params->createIterator();
    RooRealVar *myargi, *myargj; 
    fprintf(pFile," ") ;
    while ((myargi = (RooRealVar *)iti.Next())) { 
      if(myargi->isConstant()) continue;
      fprintf(pFile," & %s",  myargi->GetName());
    }
    fprintf(pFile,"\\\\ \\hline \n" );
    iti.Reset();
    while ((myargi = (RooRealVar *)iti.Next())) { 
      if(myargi->isConstant()) continue;
      fprintf(pFile,"%s", myargi->GetName());
      itj.Reset();
      while ((myargj = (RooRealVar *)itj.Next())) { 
        if(myargj->isConstant()) continue;
        cout << myargi->GetName() << "," << myargj->GetName();
        fprintf(pFile, " & %.2f", result->correlation(*myargi, *myargj));
      }
      cout << endl;
      fprintf(pFile, " \\\\\n");
    }
    fclose(pFile);
    
  }
 
 
  ///////////////////////////////////////////////
  RooWorkspace* HistoToWorkspaceFactory::MakeSingleChannelModel(vector<EstimateSummary> summary, vector<string> systToFix, bool doRatio)
  {
 
     if (summary.empty() ) {
        Error("MakeSingleChannelModel","vector of EstimateSummry is empty - return a nullptr");
        return 0; 
     }
    
    // to time the macro
    TStopwatch t;
    t.Start();
    string channel=summary[0].channel;
    cout << "\n\n-------------------\nStarting to process " << channel << " channel" << endl;
 
    //
    // our main workspace that we are using to construct the model
    //
    RooWorkspace* proto = new RooWorkspace("proto","proto workspace");
    ModelConfig * proto_config = new ModelConfig("ModelConfig", proto);
    proto_config->SetWorkspace(*proto);
 
    RooArgSet likelihoodTerms("likelihoodTerms");
    vector<string> likelihoodTermNames, totSystTermNames,syst_x_expectedPrefixNames, normalizationNames;
 
    string prefix, range;
 
    /////////////////////////////
    // Make observables, set values to observed data if data is specified,
    // otherwise use expected "Asimov" data
    if (summary.at(0).name=="Data") {
      ProcessExpectedHisto(summary.at(0).nominal,proto,"obsN","","",0,100000,fLowBin,fHighBin);
    } else {
      cout << "Will use expected (\"Asimov\") data set" << endl;
      ProcessExpectedHisto(NULL,proto,"obsN","","",0,100000,fLowBin,fHighBin);
    }
 
 
 
    /////////////////////////////
    // shared parameters
    // this is ratio of lumi to nominal lumi.  We will include relative uncertainty in model
    std::stringstream lumiStr;
    // lumi range
    lumiStr<<"["<<fNomLumi<<",0,"<<10.*fNomLumi<<"]";
    proto->factory(("Lumi"+lumiStr.str()).c_str());
    cout << "lumi str = " << lumiStr.str() << endl;
    
    std::stringstream lumiErrorStr;
    //    lumiErrorStr << "nominalLumi["<<fNomLumi << "]," << fLumiError ;
    lumiErrorStr << "nominalLumi["<<fNomLumi << ",0,"<<fNomLumi+10*fLumiError<<"]," << fLumiError ;
    proto->factory(("Gaussian::lumiConstraint(Lumi,"+lumiErrorStr.str()+")").c_str());
    proto->var("nominalLumi")->setConstant();
    proto->defineSet("globalObservables","nominalLumi");
    likelihoodTermNames.push_back("lumiConstraint");
    cout << "lumi Error str = " << lumiErrorStr.str() << endl;
    
    //proto->factory((string("SigXsecOverSM[1.,0.5,1..8]").c_str()));
    ///////////////////////////////////
    // loop through estimates, add expectation, floating bin predictions, 
    // and terms that constrain floating to expectation via uncertainties
    vector<EstimateSummary>::iterator it = summary.begin();
    for(; it!=summary.end(); ++it){
      if(it->name=="Data") continue;
 
      string overallSystName = it->name+"_"+it->channel+"_epsilon"; 
      string systSourcePrefix = "alpha_";
      AddEfficiencyTerms(proto,systSourcePrefix, overallSystName,
             it->overallSyst, 
             likelihoodTermNames, totSystTermNames);    
 
      overallSystName=AddNormFactor(proto, channel, overallSystName, *it, doRatio); 
      // get histogram
      TH1* nominal = it->nominal;
      if(it->lowHists.size() == 0){
        cout << it->name+"_"+it->channel+" has no variation histograms " <<endl;
        string expPrefix=it->name+"_"+it->channel+"_expN";
        string syst_x_expectedPrefix=it->name+"_"+it->channel+"_overallSyst_x_Exp";
        ProcessExpectedHisto(nominal,proto,expPrefix,syst_x_expectedPrefix,overallSystName,atoi(NoHistConst_Low),atoi(NoHistConst_High),fLowBin,fHighBin);
        syst_x_expectedPrefixNames.push_back(syst_x_expectedPrefix);
      } else if(it->lowHists.size() != it->highHists.size()){
        cout << "problem in "+it->name+"_"+it->channel 
       << " number of low & high variation histograms don't match" << endl;
        return 0;
      } else {
        string constraintPrefix = it->name+"_"+it->channel+"_Hist_alpha"; // name of source for variation
        string syst_x_expectedPrefix = it->name+"_"+it->channel+"_overallSyst_x_HistSyst";
        LinInterpWithConstraint(proto, nominal, it->lowHists, it->highHists, it->systSourceForHist,
              constraintPrefix, syst_x_expectedPrefix, overallSystName, 
              fLowBin, fHighBin, likelihoodTermNames);
        syst_x_expectedPrefixNames.push_back(syst_x_expectedPrefix);
      }
 
      //    AddMultiVarGaussConstraint(proto, "exp"+it->first+"N", fLowBin, fHighBin, likelihoodTermNames);
 
      if(it->normName=="")
        normalizationNames.push_back( "Lumi" );
      else
        normalizationNames.push_back( it->normName);
    }
    //proto->Print();
 
    ///////////////////////////////////
    // for ith bin calculate totN_i =  lumi * sum_j expected_j * syst_j 
    MakeTotalExpected(proto,channel+"_totN",channel+"_expN","Lumi",fLowBin,fHighBin, 
          syst_x_expectedPrefixNames, normalizationNames);
 
    /////////////////////////////////
    // Relate observables to expected for each bin
    AddPoissonTerms(proto, "Pois_"+channel, "obsN", channel+"_totN", fLowBin, fHighBin, likelihoodTermNames);
 
    /////////////////////////////////
    // if no data histogram provided, make asimov data
    if(summary.at(0).name!="Data"){
      SetObsToExpected(proto, "obsN",channel+"_totN", fLowBin, fHighBin);
      cout << " using asimov data" << endl;
    }  else{
      SetObsToExpected(proto, "obsN","obsN", fLowBin, fHighBin);
      cout << " using input data histogram" << endl;
    }
 
    //////////////////////////////////////
    // fix specified parameters
    for(unsigned int i=0; i<systToFix.size(); ++i){
      RooRealVar* temp = proto->var((systToFix.at(i)).c_str());
      if(temp) temp->setConstant();
      else cout << "could not find variable " << systToFix.at(i) << " could not set it to constant" << endl;
    }
 
    //////////////////////////////////////
    // final proto model
    for(unsigned int i=0; i<likelihoodTermNames.size(); ++i){
      //    cout << likelihoodTermNames[i] << endl;
      likelihoodTerms.add(* (proto->arg(likelihoodTermNames[i].c_str())) );
    }
    //  likelihoodTerms.Print();
 
    proto->defineSet("likelihoodTerms",likelihoodTerms);
    //  proto->Print();
 
    cout <<"-----------------------------------------"<<endl;
    cout <<"import model into workspace" << endl;
    RooProdPdf* model = new RooProdPdf(("model_"+channel).c_str(),
               "product of Poissons accross bins for a single channel",
               likelihoodTerms);
    proto->import(*model,RecycleConflictNodes());
 
    proto_config->SetPdf(*model);
    proto_config->SetGlobalObservables(*proto->set("globalObservables"));
 
    proto->import(*proto_config,proto_config->GetName());
    proto->importClassCode();
    //    proto->writeToFile(("results/model_"+channel+".root").c_str());
 
    return proto;
  }
 
  RooWorkspace* HistoToWorkspaceFactory::MakeCombinedModel(vector<string> ch_names, vector<RooWorkspace*> chs)
  {
 
    //
    /// These things were used for debugging. Maybe useful in the future
    //
    //  RooAbsReal::defaultIntegratorConfig()->setEpsAbs(1e-8) ;
    //  RooAbsReal::defaultIntegratorConfig()->setEpsRel(1e-8) ;
    //  RooMsgService::instance().setGlobalKillBelow(RooMsgService::WARNING);
    //  RooMsgService::instance().setGlobalKillBelow(RooMsgService::WARNING) ;
    //  cout << "MsgSvc: " << RooMsgService::instance().globalKillBelow() << " INFO " 
    //       << RooMsgService::INFO << " WARNING " << RooMsgService::WARNING << endl;
 
    //    RooArgSet* constrainedParams= new RooArgSet("constrainedParams");
 
     // check inputs (see JIRA-6890)
     if (ch_names.empty() || chs.empty() ) {
        Error("MakeCombinedModel","Input vectors are empty - return a nullptr");
        return 0;
     }
     if (chs.size()  <  ch_names.size() ) {
        Error("MakeCombinedModel","Input vector of workspace has an invalid size - return a nullptr");
        return 0;
     }
     
    map<string, RooAbsPdf*> pdfMap;
    vector<RooAbsPdf*> models;
    stringstream ss;
 
    RooArgSet globalObs;
    for(unsigned int i = 0; i< ch_names.size(); ++i){
      string channel_name=ch_names[i];
 
      if (ss.str().empty()) ss << channel_name ;
      else ss << ',' << channel_name ;
      RooWorkspace * ch=chs[i];
      
      RooAbsPdf* model = ch->pdf(("model_"+channel_name).c_str());
      models.push_back(model);
      globalObs.add(*ch->set("globalObservables"));
 
      //      constrainedParams->add( * ch->set("constrainedParams") );
      pdfMap[channel_name]=model;
    }
    //constrainedParams->Print();
 
    cout << "\n\n------------------\n Entering combination" << endl;
    RooWorkspace* combined = new RooWorkspace("combined");
 
    RooCategory* channelCat = (RooCategory*) combined->factory(("channelCat["+ss.str()+"]").c_str());
    RooSimultaneous * simPdf= new RooSimultaneous("simPdf","",pdfMap, *channelCat);
    ModelConfig * combined_config = new ModelConfig("ModelConfig", combined);
    combined_config->SetWorkspace(*combined);
    //    combined_config->SetNuisanceParameters(*constrainedParams);
    combined->import(globalObs);
    combined->defineSet("globalObservables",globalObs);
    combined_config->SetGlobalObservables(*combined->set("globalObservables"));
 
    ////////////////////////////////////////////
    // Make toy simultaneous dataset
    cout <<"-----------------------------------------"<<endl;
    cout << "create toy data for " << ss.str() << endl;
    
    const RooArgSet* obsN = chs[0]->set("obsN");
 
    RooDataSet * simData=new RooDataSet("simData","master dataset", *obsN, 
            Index(*channelCat), Import(ch_names[0].c_str(),*((RooDataSet*)chs[0]->data("expData"))));
    for(unsigned int i = 1; i< ch_names.size(); ++i){
      RooDataSet * simData_ch=new RooDataSet("simData","master dataset", *obsN, 
              Index(*channelCat), Import(ch_names[i].c_str(),*((RooDataSet*)chs[i]->data("expData"))));
      simData->append(*simData_ch);
    }
    //for(int i=0; i<simData->numEntries(); ++i)
    //  simData->get(i)->Print("v");
 
    combined->import(*simData,RecycleConflictNodes());
 
    cout << "\n\n----------------\n Importing combined model" << endl;
    combined->import(*simPdf,RecycleConflictNodes());
    //combined->import(*simPdf, RenameVariable("SigXsecOverSM","SigXsecOverSM_comb"));
    cout << "check pointer " << simPdf << endl;
 
    for(unsigned int i=0; i<fSystToFix.size(); ++i){
      // make sure they are fixed
      RooRealVar* temp = combined->var((fSystToFix.at(i)).c_str());
      if(temp) {
        temp->setConstant();
        cout <<"setting " << fSystToFix.at(i) << " constant" << endl;
      }
      else cout << "could not find variable " << fSystToFix.at(i) << " could not set it to constant" << endl;
    }
 
    ///
    /// writing out the model in graphViz
    /// 
    //    RooAbsPdf* customized=combined->pdf("simPdf"); 
    //combined_config->SetPdf(*customized);
    combined_config->SetPdf(*simPdf);
    //    customized->graphVizTree(("results/"+fResultsPrefixStr.str()+"_simul.dot").c_str());
    combined->import(*combined_config,combined_config->GetName());
    combined->importClassCode();
    //    combined->writeToFile("results/model_combined.root");
 
    return combined;
  }
 
  ///////////////////////////////////////////////
   void HistoToWorkspaceFactory::FitModel(RooWorkspace * combined, string channel, string /*model_name*/, string data_name, bool /*doParamInspect*/)
  {
 
    ModelConfig * combined_config = (ModelConfig *) combined->obj("ModelConfig");
    RooDataSet * simData = (RooDataSet *) combined->obj(data_name.c_str());
    //    const RooArgSet * constrainedParams=combined_config->GetNuisanceParameters();
    const RooArgSet * POIs=combined_config->GetParametersOfInterest();
 
    /*
          RooRealVar* poi = (RooRealVar*) combined->var("SigXsecOverSM");
          RooArgSet * params= new RooArgSet;
          params->add(*poi);
          combined_config->SetParameters(*params);
 
          RooAbsData* expData = combined->data("expData");
          RooArgSet* temp =  (RooArgSet*) combined->set("obsN")->Clone("temp");
          temp->add(*poi);
          RooAbsPdf* model=combined_config->GetPdf();
          RooArgSet* constrainedParams = model->getParameters(temp);
          combined->defineSet("constrainedParams", *constrainedParams);
    */
 
    //RooAbsPdf* model=combined->pdf(model_name.c_str()); 
    RooAbsPdf* model=combined_config->GetPdf();
    //    RooArgSet* allParams = model->getParameters(*simData);
 
    ///////////////////////////////////////
    //Do combined fit
    //RooMsgService::instance().setGlobalKillBelow(RooMsgService::INFO) ;
    cout << "\n\n---------------" << endl;
    cout << "---------------- Doing "<< channel << " Fit" << endl;
    cout << "---------------\n\n" << endl;
    //    RooFitResult* result = model->fitTo(*simData, Minos(kTRUE), Save(kTRUE), PrintLevel(1));
    model->fitTo(*simData, Minos(kTRUE), PrintLevel(1));
    //    PrintCovarianceMatrix(result, allParams, "results/"+FilePrefixStr(channel)+"_corrMatrix.table" );
 
    //
    // assuming there is only on poi
    // 
    RooRealVar* poi = 0; // (RooRealVar*) POIs->first();
    // for results tables
    TIterator* params_itr=POIs->createIterator();
    TObject* params_obj=0;
    while((params_obj=params_itr->Next())){
      poi = (RooRealVar*) params_obj;
      cout << "printing results for " << poi->GetName() << " at " << poi->getVal()<< " high " << poi->getErrorLo() << " low " << poi->getErrorHi()<<endl;
    }
    fprintf(pFile, " %.4f / %.4f  ", poi->getErrorLo(), poi->getErrorHi());
 
    RooAbsReal* nll = model->createNLL(*simData);
    RooAbsReal* profile = nll->createProfile(*poi);
    RooPlot* frame = poi->frame();
    FormatFrameForLikelihood(frame);
    TCanvas* c1 = new TCanvas( channel.c_str(), "",800,600);
    nll->plotOn(frame, ShiftToZero(), LineColor(kRed), LineStyle(kDashed));
    profile->plotOn(frame);
    frame->SetMinimum(0);
    frame->SetMaximum(2.);
    frame->Draw();
    //    c1->SaveAs( ("results/"+FilePrefixStr(channel)+"_profileLR.eps").c_str() );
    c1->SaveAs( (fFileNamePrefix+"_"+channel+"_"+fRowTitle+"_profileLR.eps").c_str() );
 
    fOut_f->mkdir(channel.c_str())->mkdir("Summary")->cd();
 
    // an example of calculating profile for a nuisance parameter not poi
    /*
    RooRealVar* alpha_isrfsr = (RooRealVar*) combined->var("alpha_isrfsr");
    RooAbsReal* profile_isrfsr = nll->createProfile(*alpha_isrfsr);
    poi->setVal(0.55);
    poi->setConstant();
 
    RooPlot* frame_isrfsr = alpha_isrfsr->frame();
    profile_isrfsr->plotOn(frame_isrfsr, Precision(0.1));
    TCanvas c_isrfsr = new TCanvas( "combined", "",800,600);
    FormatFrameForLikelihood(frame_isrfsr, "alpha_{isrfsr}");
    frame_isrfsr->Draw();
    fOut_f->cd("Summary");
    c1->Write((FilePrefixStr(channel).str()+"_profileLR_alpha_isrfsr").c_str() );
    delete frame; delete c1;
    poi->setConstant(kFALSE);
    */
 
    RooCurve* curve=frame->getCurve();
    Int_t curve_N=curve->GetN();
    Double_t* curve_x=curve->GetX();
    delete frame; delete c1;
 
    //
    // Verbose output from MINUIT
    //
    /*
    RooMsgService::instance().setGlobalKillBelow(RooFit::DEBUG) ;
    profile->getVal();
    RooMinuit* minuit = ((RooProfileLL*) profile)->minuit();
    minuit->setPrintLevel(5) ; // Print MINUIT messages
    minuit->setVerbose(5) ; // Print RooMinuit messages with parameter 
                                // changes (corresponds to the Verbose() option of fitTo()
    */
  
    Double_t * x_arr = new Double_t[curve_N];
    Double_t * y_arr_nll = new Double_t[curve_N];
//     Double_t y_arr_prof_nll[curve_N];
//     Double_t y_arr_prof[curve_N];
 
    for(int i=0; i<curve_N; i++){
      double f=curve_x[i];
      poi->setVal(f);
      x_arr[i]=f;
      y_arr_nll[i]=nll->getVal();
    }
    TGraph * g = new TGraph(curve_N, x_arr, y_arr_nll);
    g->SetName((FilePrefixStr(channel)+"_nll").c_str());
    g->Write(); 
    delete g;
    delete [] x_arr;
    delete [] y_arr_nll;
 
    /** find out what's inside the workspace **/
    //combined->Print();
 
  }
 
 
void HistoToWorkspaceFactory::FormatFrameForLikelihood(RooPlot* frame, string /*XTitle*/, string YTitle){
 
      gStyle->SetCanvasBorderMode(0);
      gStyle->SetPadBorderMode(0);
      gStyle->SetPadColor(0);
      gStyle->SetCanvasColor(255);
      gStyle->SetTitleFillColor(255);
      gStyle->SetFrameFillColor(0);  
      gStyle->SetStatColor(255);
      
      RooAbsRealLValue* var = frame->getPlotVar();
      double xmin = var->getMin();
      double xmax = var->getMax();
      
      frame->SetTitle("");
      //      frame->GetXaxis()->SetTitle(XTitle.c_str());
      frame->GetXaxis()->SetTitle(var->GetTitle());
      frame->GetYaxis()->SetTitle(YTitle.c_str());
      frame->SetMaximum(2.);
      frame->SetMinimum(0.);
      TLine * line = new TLine(xmin,.5,xmax,.5);
      line->SetLineColor(kGreen);
      TLine * line90 = new TLine(xmin,2.71/2.,xmax,2.71/2.);
      line90->SetLineColor(kGreen);
      TLine * line95 = new TLine(xmin,3.84/2.,xmax,3.84/2.);
      line95->SetLineColor(kGreen);
      frame->addObject(line);
      frame->addObject(line90);
      frame->addObject(line95);
  }
 
  TDirectory * HistoToWorkspaceFactory::Makedirs( TDirectory * file, vector<string> names ){
    if(! file) return file;
    string path="";
    TDirectory* ptr=0;
    for(vector<string>::iterator itr=names.begin(); itr != names.end(); ++itr){
      if( ! path.empty() ) path+="/";
      path+=(*itr);
      ptr=file->GetDirectory(path.c_str());
      if( ! ptr ) ptr=file->mkdir((*itr).c_str());
      file=file->GetDirectory(path.c_str());
    }
    return ptr;
  }
  TDirectory * HistoToWorkspaceFactory::Mkdir( TDirectory * file, string name ){
    if(! file) return file;
    TDirectory* ptr=0;
    ptr=file->GetDirectory(name.c_str());
    if( ! ptr )  ptr=file->mkdir(name.c_str());
    return ptr;
  }
 
}
}