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	Version: CMSSW_13_2_X_2023-06-02-2300 CMSSW_13_2_X_2023-06-01-2300 CMSSW_13_2_X_2023-05-31-2300 CMSSW_13_2_X_2023-05-30-2300 CMSSW_13_2_X_2023-05-29-2300 CMSSW_13_2_X_2023-05-28-2300 Revert   Change

File indexing completed on 2023-03-17 11:22:38

 #include "PlotValidation.hh"
 
 //////////////////////////////
 // Some light documentation //
 //////////////////////////////
 
 // Indices are as follows
 // e == entries in trees
 // i == kinematic variables: pt, phi, eta
 // j == reco track collections: seed, build, fit
 // k == pt cuts
 // l == rates: eff, dupl rate, ineff (efftree), eff, dupl rate, fake rate (print)
 // m == eta regions: brl, trans, enc (efftree)
 // n == track quality plots: nHits, fracHits, track score (frtree and print)
 // o == matched reco collections: all reco, fake, all match, best match (frtree), all reco, fake, and best match (print)
 // p == diff of kinematic variables: dnhits, dinvpt, deta, dphi (frtree)
 // q == n directories in frtree
 
 // Variable name scheme
 // *_var(s)_* == kinematic variables (index i)
 // *_trk(s)_* == reco track collections (index j)
 // *_ref* == variable associated to reference tracks (CMSSW or Sim)
 // kinematic variable name comes before trk name to maintain consistency with branch names
 // mask name also obeys this rule: which type of mask, then which reco track collection for association
 // in case of "_ref_trk", this means this a reference track variable associated to a given reco track collection
 
 // f* == data member
 // s at the start == "string" version of the variable
 // h at the start == a different string version
 
 PlotValidation::PlotValidation(const TString& inName,
                                const TString& outName,
                                const Bool_t cmsswComp,
                                const int algo,
                                const Bool_t mvInput,
                                const Bool_t rmSuffix,
                                const Bool_t saveAs,
                                const TString& outType)
     : fInName(inName),
       fOutName(outName),
       fCmsswComp(cmsswComp),
       fAlgo(algo),
       fMvInput(mvInput),
       fRmSuffix(rmSuffix),
       fSaveAs(saveAs),
       fOutType(outType) {
   // Setup
   PlotValidation::SetupStyle();
   if (fAlgo > 0 && !fRmSuffix)
     fOutName = fOutName + "_iter" + algo;
   PlotValidation::MakeOutDir(fOutName);
   PlotValidation::SetupBins();
   PlotValidation::SetupCommonVars();
 
   // Get input root file or exit!
   fInRoot = TFile::Open(fInName.Data());
   if (fInRoot == (TFile*)NULL) {
     std::cerr << "File: " << fInName.Data() << " does not exist!!! Exiting..." << std::endl;
     exit(1);
   }
   gROOT->cd();
   efftree = (TTree*)fInRoot->Get((fCmsswComp ? "cmsswefftree" : "efftree"));
   frtree = (TTree*)fInRoot->Get((fCmsswComp ? "cmsswfrtree" : "frtree"));
   if (algo > 0)
     frtree = frtree->CopyTree(Form("algorithm==%i", algo));
   // make output root file
   fOutRoot = new TFile(fOutName + "/plots.root", "RECREATE");
 }
 
 PlotValidation::~PlotValidation() {
   delete efftree;
   delete frtree;
   delete fInRoot;
   delete fOutRoot;  // will delete all pointers to subdirectory
 }
 
 void PlotValidation::Validation(int algo) {
   std::cout << "Computing Efficiency, Inefficiency, and Duplicate Rate ..." << std::endl;
   PlotValidation::PlotEffTree(algo);
 
   std::cout << "Computing Fake Rate, <nHits/track>, and kinematic diffs to " << fSRefTitle.Data() << " tracks ..."
             << std::endl;
   PlotValidation::PlotFRTree(algo);
 
   std::cout << "Printing Totals ..." << std::endl;
   PlotValidation::PrintTotals(algo);
 
   if (fMvInput)
     PlotValidation::MoveInput();
 }
 
 // Loop over efficiency tree: produce efficiency, inefficiency per region of tracker, and duplicate rate
 void PlotValidation::PlotEffTree(int algo) {
   ////////////////////////////////////////////
   // Declare strings for branches and plots //
   ////////////////////////////////////////////
 
   const TStrVec rates = {"eff", "dr", "ineff"};
   const TStrVec srates = {"Efficiency", "Duplicate Rate", "Inefficiency"};
   const UInt_t nrates = rates.size();
 
   const TStrVec regs = {"brl", "trans", "ec"};
   const TStrVec sregs = {"Barrel", "Transition", "Endcap"};
   const FltVec etacuts = {0, 0.9, 1.7, 2.45};
   const UInt_t nregs = regs.size();
 
   //////////////////////////
   // Create and new plots //
   //////////////////////////
 
   TEffRefMap plots;
   for (auto i = 0U; i < fNVars; i++)  // loop over fVars
   {
     const auto& var = fVars[i];
     const auto& svar = fSVars[i];
     const auto& sunit = fSUnits[i];
 
     // get bins for the variable of interest
     const auto& varbins = fVarBins[i];
     const Double_t* bins = &varbins[0];
 
     for (auto j = 0U; j < fNTrks; j++)  // loop over tracks
     {
       const auto& trk = fTrks[j];
       const auto& strk = fSTrks[j];
 
       for (auto k = 0U; k < fNPtCuts; k++)  // loop pver pt cuts
       {
         const auto& sptcut = fSPtCuts[k];
         const auto& hptcut = fHPtCuts[k];
 
         for (auto l = 0U; l < nrates; l++)  // loop over which rate
         {
           const auto& rate = rates[l];
           const auto& srate = srates[l];
 
           // plot names and key
           const TString plotkey = Form("%i_%i_%i_%i", i, j, k, l);
           const TString plotname = Form("%s_", fCmsswComp ? "cmssw" : "sim") + var + "_" + trk + "_pt" + hptcut;
           const TString plottitle = strk + " Track " + srate + " vs " + fSRefTitle + " " + svar + " {" + fSVarPt +
                                     " > " + sptcut + " " + fSUnitPt + "};" + svar + sunit + ";" + srate;
 
           // eff and dr not split by region
           if (l < 2) {
             const TString tmpname = rate + "_" + plotname;
             plots[plotkey] = new TEfficiency(tmpname.Data(), plottitle.Data(), varbins.size() - 1, bins);
           } else  // ineff split by region
           {
             for (auto m = 0U; m < nregs; m++)  // loop over regions for inefficiency
             {
               const auto& reg = regs[m];
               const auto& sreg = sregs[m];
 
               const TString tmpkey = Form("%s_%i", plotkey.Data(), m);
               const TString tmpname = rate + "_" + reg + "_" + plotname;
               const TString tmptitle = strk + " Track " + srate + " vs " + fSRefTitle + " " + svar + "{" + fSVarPt +
                                        " > " + sptcut + " " + fSUnitPt + ", " + sreg + "};" + svar + sunit + ";" +
                                        srate;
 
               plots[tmpkey] = new TEfficiency(tmpname.Data(), tmptitle.Data(), varbins.size() - 1, bins);
             }  // end loop over regions
           }    // end check over plots
         }      // end loop over plots
       }        // end loop over pt cuts
     }          // end loop over tracks
   }            // end loop over variables
 
   ////////////////////////////////////////
   // Floats/Ints to be filled for trees //
   ////////////////////////////////////////
 
   // Initialize var arrays, SetBranchAddress
   FltVec vars_ref(fNVars);            // first index is var. only for ref values! so no extra index
   TBrRefVec vars_ref_br(fNVars);      // tbranch for each var
   for (auto i = 0U; i < fNVars; i++)  // loop over trks index
   {
     const auto& var = fVars[i];
     auto& var_ref = vars_ref[i];
     auto& var_ref_br = vars_ref_br[i];
 
     // initialize var, branches
     var_ref = 0.;
     var_ref_br = 0;
 
     // Set var branch
     efftree->SetBranchAddress(
         var + "_" + ((fSRefVar == "cmssw" || var != "nLayers") ? fSRefVar : fSRefVarTrk), &var_ref, &var_ref_br);
   }
 
   // Initialize masks, set branch addresses
   IntVec refmask_trks(fNTrks);        // need to know if sim track associated to a given reco track type
   TBrRefVec refmask_trks_br(fNTrks);  // tbranch for each trk
 
   IntVec duplmask_trks(fNTrks);        // need to know if sim track associated to a given reco track type more than once
   TBrRefVec duplmask_trks_br(fNTrks);  // tbranch for each trk
 
   std::vector<ULong64_t> itermask_trks(fNTrks);
   TBrRefVec itermask_trks_br(fNTrks);
 
   std::vector<ULong64_t> iterduplmask_trks(fNTrks);
   TBrRefVec iterduplmask_trks_br(fNTrks);
 
   ULong64_t algoseed_trk;  // for SIMVALSEED
   TBranch* algoseed_trk_br;
 
   for (auto j = 0U; j < fNTrks; j++)  // loop over trks index
   {
     const auto& trk = fTrks[j];
     auto& refmask_trk = refmask_trks[j];
     auto& refmask_trk_br = refmask_trks_br[j];
     auto& duplmask_trk = duplmask_trks[j];
     auto& duplmask_trk_br = duplmask_trks_br[j];
     auto& itermask_trk = itermask_trks[j];
     auto& itermask_trk_br = itermask_trks_br[j];
 
     auto& iterduplmask_trk = iterduplmask_trks[j];
     auto& iterduplmask_trk_br = iterduplmask_trks_br[j];
 
     // initialize mcmask, branches
     refmask_trk = 0;
     refmask_trk_br = 0;
 
     // initialize duplmask, branches
     duplmask_trk = 0;
     duplmask_trk_br = 0;
 
     // initialize itermask, branches
     itermask_trk = 0;
     itermask_trk_br = 0;
 
     iterduplmask_trk = 0;
     iterduplmask_trk_br = 0;
 
     algoseed_trk = 0;
     algoseed_trk_br = 0;
 
     // Set branches
     efftree->SetBranchAddress(fSRefMask + "mask_" + trk, &refmask_trk, &refmask_trk_br);
     efftree->SetBranchAddress("duplmask_" + trk, &duplmask_trk, &duplmask_trk_br);
     efftree->SetBranchAddress("itermask_" + trk, &itermask_trk, &itermask_trk_br);
     efftree->SetBranchAddress("iterduplmask_" + trk, &iterduplmask_trk, &iterduplmask_trk_br);
   }
   efftree->SetBranchAddress("algo_seed", &algoseed_trk, &algoseed_trk_br);
   ///////////////////////////////////////////////////
   // Fill histos, compute rates from tree branches //
   ///////////////////////////////////////////////////
 
   // loop over entries
   const auto nentries = efftree->GetEntries();
   for (auto e = 0U; e < nentries; e++) {
     // get branches
     for (auto i = 0U; i < fNVars; i++) {
       auto& var_ref_br = vars_ref_br[i];
 
       var_ref_br->GetEntry(e);
     }
     for (auto j = 0U; j < fNTrks; j++) {
       auto& refmask_trk_br = refmask_trks_br[j];
       auto& duplmask_trk_br = duplmask_trks_br[j];
       auto& itermask_trk_br = itermask_trks_br[j];
       auto& iterduplmask_trk_br = iterduplmask_trks_br[j];
 
       refmask_trk_br->GetEntry(e);
       duplmask_trk_br->GetEntry(e);
       itermask_trk_br->GetEntry(e);
       iterduplmask_trk_br->GetEntry(e);
     }
     algoseed_trk_br->GetEntry(e);
     // use for cuts
     const auto pt_ref = vars_ref[0];
 
     // loop over plot indices
     for (auto k = 0U; k < fNPtCuts; k++)  // loop over pt cuts
     {
       const auto ptcut = fPtCuts[k];
 
       if (pt_ref < ptcut)
         continue;  // cut on tracks with a low pt
 
       for (auto i = 0U; i < fNVars; i++)  // loop over vars index
       {
         const auto var_ref = vars_ref[i];
 
         for (auto j = 0U; j < fNTrks; j++)  // loop over trks index
         {
           const auto refmask_trk = refmask_trks[j];
           const auto duplmask_trk = duplmask_trks[j];
           const auto itermask_trk = itermask_trks[j];
           const auto iterduplmask_trk = iterduplmask_trks[j];
 
           const auto effIteration = algo > 0 ? ((itermask_trk >> algo) & 1) : 1;
           const auto oneIteration = algo > 0 ? ((iterduplmask_trk >> algo) & 1) : 1;
           const auto ineffIteration = algo > 0 ? (((itermask_trk >> algo) & 1) == 0) : (refmask_trk == 0);
           const auto seedalgo_flag = (algoseed_trk > 0 && algo > 0) ? ((algoseed_trk >> algo) & 1) : 1;
 
           // plot key base
           const TString basekey = Form("%i_%i_%i", i, j, k);
 
           // efficiency calculation: need ref track to be findable
           if (refmask_trk != -1 && seedalgo_flag)
             plots[basekey + "_0"]->Fill((refmask_trk == 1) && effIteration,
                                         var_ref);  // ref track must be associated to enter numerator (==1)
 
           // duplicate rate calculation: need ref track to be matched at least once
           if (duplmask_trk != -1 && effIteration && seedalgo_flag)
             plots[basekey + "_1"]->Fill((duplmask_trk == 1) && oneIteration,
                                         var_ref);  // ref track is matched at least twice
 
           // inefficiency calculation: need ref track to be findable
           if (refmask_trk != -1) {
             for (auto m = 0U; m < regs.size(); m++) {
               const auto eta_ref = std::abs(vars_ref[1]);
               const auto etalow = etacuts[m];
               const auto etaup = etacuts[m + 1];
 
               // ref track must be UNassociated (==0) to enter numerator of inefficiency
               if ((eta_ref >= etalow) && (eta_ref < etaup))
                 plots[Form("%s_2_%i", basekey.Data(), m)]->Fill(ineffIteration, var_ref);
             }  // end loop over regions
           }    // end check over ref tracks being findable
 
         }  // end loop over fPtCuts
       }    // end loop over fTrks
     }      // end loop over fVars
   }        // end loop over entry in tree
 
   /////////////////
   // Make output //
   /////////////////
 
   // make subdirs
   TStrVec dirnames = {"efficiency", "duplicaterate", "inefficiency"};
   for (auto& dirname : dirnames)
     dirname += fSRefDir;
 
   TDirRefVec subdirs(nrates);
   for (auto l = 0U; l < nrates; l++)
     subdirs[l] = PlotValidation::MakeSubDirs(dirnames[l]);
 
   // Draw, divide, and save efficiency plots
   for (auto i = 0U; i < fNVars; i++) {
     for (auto j = 0U; j < fNTrks; j++) {
       for (auto k = 0U; k < fNPtCuts; k++) {
         for (auto l = 0U; l < nrates; l++) {
           const auto& dirname = dirnames[l];
           auto& subdir = subdirs[l];
 
           const TString plotkey = Form("%i_%i_%i_%i", i, j, k, l);
           if (l < 2)  // efficiency and duplicate rate
           {
             PlotValidation::DrawWriteSavePlot(plots[plotkey], subdir, dirname, "AP");
             delete plots[plotkey];
           } else {
             for (auto m = 0U; m < nregs; m++) {
               const TString tmpkey = Form("%s_%i", plotkey.Data(), m);
               PlotValidation::DrawWriteSavePlot(plots[tmpkey], subdir, dirname, "AP");
               delete plots[tmpkey];
             }  // end loop over regions
           }    // end check over plots
         }      // end loop over plots
       }        // end loop over pt cuts
     }          // end loop over tracks
   }            // end loop over variables
 }
 
 // loop over fake rate tree, producing fake rate, nHits/track, score, and kinematic diffs to cmssw
 void PlotValidation::PlotFRTree(int algo) {
   ////////////////////////////////////////////
   // Declare strings for branches and plots //
   ////////////////////////////////////////////
 
   // info for quality info (nHits,score), kinematic diffs
   const TStrVec colls = {"allreco", "fake", "allmatch", "bestmatch"};
   const TStrVec scolls = {"All Reco", "Fake", "All Match", "Best Match"};
   const UInt_t ncolls = colls.size();
 
   // get bins ready
   const DblVecVec trkqualbins = {fNHitsBins, fFracHitsBins, fScoreBins};
 
   // diffs
   const TStrVec dvars = {"dnHits", "dinvpt", "deta", "dphi"};
   const TStrVec sdvars = {"nHits", "1/p_{T}", "#eta", "#phi"};
   const UInt_t ndvars = dvars.size();
 
   // get bins ready
   const DblVecVec dvarbins = {fDNHitsBins, fDInvPtBins, fDEtaBins, fDPhiBins};
 
   //////////////////////////
   // Create and new plots //
   //////////////////////////
 
   TEffRefMap plots;
   TH1FRefMap hists;
   for (auto j = 0U; j < fNTrks; j++)  // loop over track collection
   {
     const auto& trk = fTrks[j];
     const auto& strk = fSTrks[j];
 
     for (auto k = 0U; k < fNPtCuts; k++)  // loop over pt cuts
     {
       const auto& sptcut = fSPtCuts[k];
       const auto& hptcut = fHPtCuts[k];
 
       // initialize efficiency plots
       for (auto i = 0U; i < fNVars; i++)  // loop over vars
       {
         const auto& var = fVars[i];
         const auto& svar = fSVars[i];
         const auto& sunit = fSUnits[i];
 
         // plot names and key
         const TString plotkey = Form("%i_%i_%i", i, j, k);
         const TString plotname = "fr_reco_" + var + "_" + trk + "_pt" + hptcut;
         const TString plottitle = strk + " Track Fake Rate vs Reco " + svar + " {" + fSVarPt + " > " + sptcut + " " +
                                   fSUnitPt + "};" + svar + sunit + ";Fake Rate";
 
         // get bins for the variable of interest
         const auto& varbins = fVarBins[i];
         const Double_t* bins = &varbins[0];
 
         plots[plotkey] = new TEfficiency(plotname.Data(), plottitle.Data(), varbins.size() - 1, bins);
       }  // end loop over vars for efficiency
 
       // initialize track quality plots
       for (auto n = 0U; n < fNTrkQual; n++)  // loop over quality vars
       {
         const auto& trkqual = fTrkQual[n];
         const auto& strkqual = fSTrkQual[n];
 
         // get bins for the variable of interest
         const auto& varbins = trkqualbins[n];
         const Double_t* bins = &varbins[0];
 
         for (auto o = 0U; o < ncolls; o++)  // loop over collection of tracks
         {
           const auto& coll = colls[o];
           const auto& scoll = scolls[o];
 
           // plot names and key
           const TString histkey = Form("%i_%i_%i_%i", j, k, n, o);
           const TString histname = "h_" + trkqual + "_" + coll + "_" + trk + "_pt" + hptcut;
           const TString histtitle = scoll + " " + strk + " Track vs " + strkqual + " {" + fSVarPt + " > " + sptcut +
                                     " " + fSUnitPt + "};" + strkqual + ";nTracks";
 
           // Numerator only type plots only!
           hists[histkey] = new TH1F(histname.Data(), histtitle.Data(), varbins.size() - 1, bins);
           hists[histkey]->Sumw2();
         }  // end loop over tracks collections
       }    // end loop over hit plots
 
       // initialize diff plots
       for (auto p = 0U; p < ndvars; p++)  // loop over kin diff vars
       {
         const auto& dvar = dvars[p];
         const auto& sdvar = sdvars[p];
 
         // get bins for the variable of interest
         const auto& varbins = dvarbins[p];
         const Double_t* bins = &varbins[0];
 
         // loop over collection of tracks for only matched tracks
         for (auto o = 2U; o < ncolls; o++) {
           const auto& coll = colls[o];
           const auto& scoll = scolls[o];
 
           // plot names and key
           const TString histkey = Form("%i_%i_d_%i_%i", j, k, p, o);
           const TString histname = "h_" + dvar + "_" + coll + "_" + trk + "_pt" + hptcut;
           const TString histtitle = "#Delta" + sdvar + "(" + scoll + " " + strk + "," + fSRefTitle + ") {" + fSVarPt +
                                     " > " + sptcut + " " + fSUnitPt + "};" + sdvar + "^{" + scoll + " " + strk + "}-" +
                                     sdvar + "^{" + fSRefTitle + "};nTracks";
 
           // Numerator only type plots only!
           hists[histkey] = new TH1F(histname.Data(), histtitle.Data(), varbins.size() - 1, bins);
           hists[histkey]->Sumw2();
         }  // end loop over track collections
       }    // end loop over diff plots
 
     }  // end loop over pt cuts
   }    // end loop over tracks
 
   ////////////////////////////////////////
   // Floats/Ints to be filled for trees //
   ////////////////////////////////////////
 
   // Initialize var_trk arrays, SetBranchAddress
   FltVecVec vars_trks(fNVars);        // first index is var, second is type of reco track
   TBrRefVecVec vars_trks_br(fNVars);  // tbranch for each var
   for (auto i = 0U; i < fNVars; i++)  // loop over vars index
   {
     const auto& var = fVars[i];
     auto& var_trks = vars_trks[i];
     auto& var_trks_br = vars_trks_br[i];
 
     var_trks.resize(fNTrks);
     var_trks_br.resize(fNTrks);
 
     for (auto j = 0U; j < fNTrks; j++)  // loop over trks index
     {
       const auto& trk = fTrks[j];
       auto& var_trk = var_trks[j];
       auto& var_trk_br = var_trks_br[j];
 
       // initialize var, branches
       var_trk = 0.;
       var_trk_br = 0;
 
       //Set var+trk branch
       frtree->SetBranchAddress(var + "_" + trk, &var_trk, &var_trk_br);
     }  // end loop over tracks
   }    // end loop over vars
 
   // Initialize masks
   IntVec refmask_trks(fNTrks);           // need to know if ref track associated to a given reco track type
   TBrRefVec refmask_trks_br(fNTrks);     // tbranch for each trk
   IntVec iTkMatches_trks(fNTrks);        // want which matched track!
   TBrRefVec iTkMatches_trks_br(fNTrks);  // tbranch for each trk
 
   // Initialize nhits_trk branches
   IntVec nHits_trks(fNTrks);           // nHits / track
   TBrRefVec nHits_trks_br(fNTrks);     // branch per track
   FltVec fracHits_trks(fNTrks);        // fraction of hits matched (most) / track
   TBrRefVec fracHits_trks_br(fNTrks);  // branch per track
   IntVec score_trks(fNTrks);           // track score
   TBrRefVec score_trks_br(fNTrks);     // branch per track
 
   // Initialize diff branches
   FltVec nLayers_ref_trks(fNTrks);  // sim/cmssw nUnique layers
   TBrRefVec nLayers_ref_trks_br(fNTrks);
   FltVec pt_ref_trks(fNTrks);  // sim/cmssw pt
   TBrRefVec pt_ref_trks_br(fNTrks);
   FltVec eta_ref_trks(fNTrks);  // cmssw eta
   TBrRefVec eta_ref_trks_br(fNTrks);
   FltVec dphi_trks(fNTrks);  // dphi between reco track and sim/cmssw (computed during matching --> not 100% ideal)
   TBrRefVec dphi_trks_br(fNTrks);
 
   // Set branches for tracks
   for (auto j = 0U; j < fNTrks; j++)  // loop over trks index
   {
     const auto& trk = fTrks[j];
     auto& refmask_trk = refmask_trks[j];
     auto& refmask_trk_br = refmask_trks_br[j];
     auto& iTkMatches_trk = iTkMatches_trks[j];
     auto& iTkMatches_trk_br = iTkMatches_trks_br[j];
     auto& nHits_trk = nHits_trks[j];
     auto& nHits_trk_br = nHits_trks_br[j];
     auto& fracHits_trk = fracHits_trks[j];
     auto& fracHits_trk_br = fracHits_trks_br[j];
     auto& score_trk = score_trks[j];
     auto& score_trk_br = score_trks_br[j];
     auto& nLayers_ref_trk = nLayers_ref_trks[j];
     auto& nLayers_ref_trk_br = nLayers_ref_trks_br[j];
     auto& pt_ref_trk = pt_ref_trks[j];
     auto& pt_ref_trk_br = pt_ref_trks_br[j];
     auto& eta_ref_trk = eta_ref_trks[j];
     auto& eta_ref_trk_br = eta_ref_trks_br[j];
     auto& dphi_trk = dphi_trks[j];
     auto& dphi_trk_br = dphi_trks_br[j];
 
     // initialize masks, branches
     refmask_trk = 0;
     refmask_trk_br = 0;
     iTkMatches_trk = 0;
     iTkMatches_trk_br = 0;
 
     // initialize nHits, branches
     nHits_trk = 0;
     nHits_trk_br = 0;
     fracHits_trk = 0.f;
     fracHits_trk_br = 0;
     score_trk = 0;
     score_trk_br = 0;
 
     // initialize diff branches
     nLayers_ref_trk = 0;
     nLayers_ref_trk_br = 0;
     pt_ref_trk = 0.f;
     pt_ref_trk_br = 0;
     eta_ref_trk = 0.f;
     eta_ref_trk_br = 0;
     dphi_trk = 0.f;
     dphi_trk_br = 0;
 
     // Set Branches
     frtree->SetBranchAddress(fSRefMask + "mask_" + trk, &refmask_trk, &refmask_trk_br);
     frtree->SetBranchAddress("iTkMatches_" + trk, &iTkMatches_trk, &iTkMatches_trk_br);
 
     frtree->SetBranchAddress("nHits_" + trk, &nHits_trk, &nHits_trk_br);
     frtree->SetBranchAddress("fracHitsMatched_" + trk, &fracHits_trk, &fracHits_trk_br);
     frtree->SetBranchAddress("score_" + trk, &score_trk, &score_trk_br);
 
     frtree->SetBranchAddress("nLayers_" + fSRefVarTrk + "_" + trk, &nLayers_ref_trk, &nLayers_ref_trk_br);
     frtree->SetBranchAddress("pt_" + fSRefVarTrk + "_" + trk, &pt_ref_trk, &pt_ref_trk_br);
     frtree->SetBranchAddress("eta_" + fSRefVarTrk + "_" + trk, &eta_ref_trk, &eta_ref_trk_br);
     frtree->SetBranchAddress("dphi_" + trk, &dphi_trk, &dphi_trk_br);
   }
 
   ///////////////////////////////////////////////////
   // Fill histos, compute rates from tree branches //
   ///////////////////////////////////////////////////
 
   // loop over entries
   const UInt_t nentries = frtree->GetEntries();
   for (auto e = 0U; e < nentries; e++) {
     // get branches
     for (auto i = 0U; i < fNVars; i++) {
       auto& var_trks_br = vars_trks_br[i];
       for (auto j = 0U; j < fNTrks; j++) {
         auto& var_trk_br = var_trks_br[j];
 
         var_trk_br->GetEntry(e);
       }
     }
     for (auto j = 0U; j < fNTrks; j++) {
       auto& refmask_trk_br = refmask_trks_br[j];
       auto& iTkMatches_trk_br = iTkMatches_trks_br[j];
       auto& nHits_trk_br = nHits_trks_br[j];
       auto& fracHits_trk_br = fracHits_trks_br[j];
       auto& score_trk_br = score_trks_br[j];
       auto& nLayers_ref_trk_br = nLayers_ref_trks_br[j];
       auto& pt_ref_trk_br = pt_ref_trks_br[j];
       auto& eta_ref_trk_br = eta_ref_trks_br[j];
       auto& dphi_trk_br = dphi_trks_br[j];
 
       refmask_trk_br->GetEntry(e);
       iTkMatches_trk_br->GetEntry(e);
 
       nHits_trk_br->GetEntry(e);
       fracHits_trk_br->GetEntry(e);
       score_trk_br->GetEntry(e);
 
       nLayers_ref_trk_br->GetEntry(e);
       pt_ref_trk_br->GetEntry(e);
       eta_ref_trk_br->GetEntry(e);
       dphi_trk_br->GetEntry(e);
     }
 
     // loop over plot indices
     for (auto j = 0U; j < fNTrks; j++)  // loop over trks index
     {
       const auto pt_trk = vars_trks[0][j];
       const auto eta_trk = vars_trks[1][j];
       const auto phi_trk = vars_trks[2][j];
 
       const auto refmask_trk = refmask_trks[j];
       const auto iTkMatches_trk = iTkMatches_trks[j];
       const auto nHits_trk = nHits_trks[j];
       const auto fracHits_trk = fracHits_trks[j];
       const auto score_trk = score_trks[j];
 
       const auto nLayers_ref_trk = nLayers_ref_trks[j];
       const auto pt_ref_trk = pt_ref_trks[j];
       const auto eta_ref_trk = eta_ref_trks[j];
       const auto dphi_trk = dphi_trks[j];
 
       for (auto k = 0U; k < fNPtCuts; k++)  // loop over pt cuts
       {
         const auto ptcut = fPtCuts[k];
 
         if (pt_trk < ptcut)
           continue;  // cut on tracks with a low pt
 
         // fill rate plots
         for (auto i = 0U; i < fNVars; i++)  // loop over vars index
         {
           const auto var_trk = vars_trks[i][j];
 
           // plot key
           const TString plotkey = Form("%i_%i_%i", i, j, k);
 
           // can include masks of 1,0,2 to enter denominator
           if (refmask_trk >= 0)
             plots[plotkey]->Fill((refmask_trk == 0), var_trk);  // only completely unassociated reco tracks enter FR
         }                                                       // end loop over vars
 
         // base hist key
         const TString basekey = Form("%i_%i", j, k);  // hist key
 
         // key strings
         const TString nhitkey = Form("%s_0", basekey.Data());
         const TString frackey = Form("%s_1", basekey.Data());
         const TString scorekey = Form("%s_2", basekey.Data());
 
         const TString dnhitkey = Form("%s_d_0", basekey.Data());
         const TString dinvptkey = Form("%s_d_1", basekey.Data());
         const TString detakey = Form("%s_d_2", basekey.Data());
         const TString dphikey = Form("%s_d_3", basekey.Data());
 
         // all reco
         hists[Form("%s_0", nhitkey.Data())]->Fill(nHits_trk);
         hists[Form("%s_0", frackey.Data())]->Fill(fracHits_trk);
         hists[Form("%s_0", scorekey.Data())]->Fill(score_trk);
 
         if (refmask_trk == 0)  // all fakes
         {
           hists[Form("%s_1", nhitkey.Data())]->Fill(nHits_trk);
           hists[Form("%s_1", frackey.Data())]->Fill(fracHits_trk);
           hists[Form("%s_1", scorekey.Data())]->Fill(score_trk);
         } else if (refmask_trk == 1)  // all matches
         {
           hists[Form("%s_2", nhitkey.Data())]->Fill(nHits_trk);
           hists[Form("%s_2", frackey.Data())]->Fill(fracHits_trk);
           hists[Form("%s_2", scorekey.Data())]->Fill(score_trk);
 
           hists[Form("%s_2", dnhitkey.Data())]->Fill(nHits_trk - (Int_t)nLayers_ref_trk);
           hists[Form("%s_2", dinvptkey.Data())]->Fill(1.f / pt_trk - 1.f / pt_ref_trk);
           hists[Form("%s_2", detakey.Data())]->Fill(eta_trk - eta_ref_trk);
           hists[Form("%s_2", dphikey.Data())]->Fill(dphi_trk);
 
           if (iTkMatches_trk == 0)  // best matches only
           {
             hists[Form("%s_3", nhitkey.Data())]->Fill(nHits_trk);
             hists[Form("%s_3", frackey.Data())]->Fill(fracHits_trk);
             hists[Form("%s_3", scorekey.Data())]->Fill(score_trk);
 
             hists[Form("%s_3", dnhitkey.Data())]->Fill(nHits_trk - (Int_t)nLayers_ref_trk);
             hists[Form("%s_3", dinvptkey.Data())]->Fill(1.f / pt_trk - 1.f / pt_ref_trk);
             hists[Form("%s_3", detakey.Data())]->Fill(eta_trk - eta_ref_trk);
             hists[Form("%s_3", dphikey.Data())]->Fill(dphi_trk);
           }  // end check over best matches
         }    // end check over all matches
       }      // end loop over pt cuts
     }        // end loop over trks
   }          // end loop over entry in tree
 
   /////////////////
   // Make output //
   /////////////////
 
   // make subdirs
   TStrVec dirnames = {"fakerate", "quality", "kindiffs"};
   for (auto& dirname : dirnames)
     dirname += fSRefDir;
   const UInt_t ndirs = dirnames.size();
 
   TDirRefVec subdirs(ndirs);
   for (auto q = 0U; q < ndirs; q++)
     subdirs[q] = PlotValidation::MakeSubDirs(dirnames[q]);
 
   // Draw, divide, and save fake rate plots --> then delete!
   for (auto j = 0U; j < fNTrks; j++)  // loop over trks
   {
     for (auto k = 0U; k < fNPtCuts; k++)  // loop over pt cuts
     {
       // fake rate plots
       for (auto i = 0U; i < fNVars; i++)  // loop over vars
       {
         const Int_t diridx = 0;
         const TString plotkey = Form("%i_%i_%i", i, j, k);
         PlotValidation::DrawWriteSavePlot(plots[plotkey], subdirs[diridx], dirnames[diridx], "AP");
         delete plots[plotkey];
       }
 
       // track quality plots
       for (auto n = 0U; n < fNTrkQual; n++)  // loop over track quality vars
       {
         for (auto o = 0U; o < ncolls; o++)  // loop over collection of tracks
         {
           const Int_t diridx = 1;
           const TString histkey = Form("%i_%i_%i_%i", j, k, n, o);
           PlotValidation::DrawWriteSavePlot(hists[histkey], subdirs[diridx], dirnames[diridx], "");
           delete hists[histkey];
         }  // end loop over track collections
       }    // end loop over hit vars
 
       // kinematic diff plots
       for (auto p = 0U; p < ndvars; p++)  // loop over diff vars
       {
         for (auto o = 2U; o < ncolls; o++)  // loop over collection of tracks for only matched tracks
         {
           const Int_t diridx = 2;
           const TString histkey = Form("%i_%i_d_%i_%i", j, k, p, o);
           PlotValidation::DrawWriteSavePlot(hists[histkey], subdirs[diridx], dirnames[diridx], "");
           delete hists[histkey];
         }  // end loop over track collections
       }    // end loop over diff plots
 
     }  // end loop over pt cuts
   }    // end loop over tracks
 }
 
 void PlotValidation::PrintTotals(int algo) {
   ///////////////////////////////////////////////
   // Get number of events and number of tracks //
   ///////////////////////////////////////////////
 
   Int_t Nevents = 0;
   Int_t evtID = 0;
   TBranch* b_evtID = 0;
   efftree->SetBranchAddress("evtID", &evtID, &b_evtID);
   const UInt_t nentries = efftree->GetEntries();
   for (auto e = 0U; e < nentries; e++) {
     b_evtID->GetEntry(e);
     if (evtID > Nevents)
       Nevents = evtID;
   }
 
   const Int_t NtracksMC = efftree->GetEntries();
   const Float_t ntkspevMC = Float_t(NtracksMC) / Float_t(Nevents);
   const Int_t NtracksReco = frtree->GetEntries();
   const Float_t ntkspevReco = Float_t(NtracksReco) / Float_t(Nevents);
 
   ////////////////////////////////////////////////////////////////////////////////////////////////////////
   // Print out totals of nHits, frac of Hits shared, track score, eff, FR, DR rate of seeds, build, fit //
   //                --> numer/denom plots for phi, know it will be in the bounds.                       //
   ////////////////////////////////////////////////////////////////////////////////////////////////////////
 
   const TStrVec rates = {"eff", "fr", "dr"};
   const TStrVec srates = {"Efficiency", "Fake Rate", "Duplicate Rate"};
   const TStrVec dirnames = {"efficiency", "fakerate", "duplicaterate"};
   const TStrVec types = (fCmsswComp ? TStrVec{"cmssw", "reco", "cmssw"}
                                     : TStrVec{"sim", "reco", "sim"});  // types will be same size as rates!
   const UInt_t nrates = rates.size();
 
   const TStrVec snumers = {
       fSRefTitle + " Tracks Matched", "Unmatched Reco Tracks", fSRefTitle + " Tracks Matched (nTimes>1)"};
   const TStrVec sdenoms = {
       "Eligible " + fSRefTitle + " Tracks", "Eligible Reco Tracks", "Eligible " + fSRefTitle + " Tracks"};
 
   TEffRefMap plots;
   for (auto j = 0U; j < fNTrks; j++) {
     const auto& trk = fTrks[j];
 
     for (auto k = 0U; k < fNPtCuts; k++) {
       const auto& hptcut = fHPtCuts[k];
 
       for (auto l = 0U; l < nrates; l++) {
         const auto& rate = rates[l];
         const auto& type = types[l];
         const auto& dirname = dirnames[l];
 
         const TString plotkey = Form("%i_%i_%i", j, k, l);
         const TString plotname = dirname + fSRefDir + "/" + rate + "_" + type + "_phi_" + trk + "_pt" + hptcut;
         plots[plotkey] = (TEfficiency*)fOutRoot->Get(plotname.Data());
       }
     }
   }
 
   // want nHits plots for (nearly) all types of tracks
   const TStrVec colls = {"allreco", "fake", "bestmatch"};
   const TStrVec scolls = {"All Reco", "Fake", "Best Match"};
   const UInt_t ncolls = colls.size();
 
   TH1FRefMap hists;
   for (auto j = 0U; j < fNTrks; j++) {
     const auto& trk = fTrks[j];
 
     for (auto k = 0U; k < fNPtCuts; k++) {
       const auto& hptcut = fHPtCuts[k];
 
       for (auto n = 0U; n < fNTrkQual; n++) {
         const auto& trkqual = fTrkQual[n];
 
         for (auto o = 0U; o < ncolls; o++) {
           const auto& coll = colls[o];
 
           const TString histkey = Form("%i_%i_%i_%i", j, k, n, o);
           const TString histname = "quality" + fSRefDir + "/h_" + trkqual + "_" + coll + "_" + trk + "_pt" + hptcut;
           hists[histkey] = (TH1F*)fOutRoot->Get(histname.Data());
         }
       }
     }
   }
 
   // setup output stream
   const TString outfilename = fOutName + "/totals_" + fOutName + fSRefOut + ".txt";
   std::ofstream totalsout(outfilename.Data());
 
   std::cout << "--------Track Reconstruction Summary--------" << std::endl;
   std::cout << "nEvents: " << Nevents << Form(" n%sTracks/evt: ", fSRefTitle.Data()) << ntkspevMC
             << " nRecoTracks/evt: " << ntkspevReco << std::endl;
   std::cout << "++++++++++++++++++++++++++++++++++++++++++++" << std::endl;
   std::cout << std::endl;
 
   totalsout << "--------Track Reconstruction Summary--------" << std::endl;
   totalsout << "nEvents: " << Nevents << Form(" n%sTracks/evt: ", fSRefTitle.Data()) << ntkspevMC
             << " nRecoTracks/evt: " << ntkspevReco << std::endl;
   totalsout << "++++++++++++++++++++++++++++++++++++++++++++" << std::endl;
   totalsout << std::endl;
 
   for (auto k = 0U; k < fNPtCuts; k++) {
     const auto& ptcut = fPtCuts[k];
 
     std::cout << Form("xxxxxxxxxx Track pT > %3.1f Cut xxxxxxxxxx", ptcut) << std::endl;
     std::cout << std::endl;
 
     totalsout << Form("xxxxxxxxxx Track pT > %3.1f Cut xxxxxxxxxx", ptcut) << std::endl;
     totalsout << std::endl;
 
     for (auto j = 0U; j < fNTrks; j++) {
       const auto& strk = fSTrks[j];
 
       std::cout << strk.Data() << " Tracks" << std::endl;
       std::cout << "++++++++++++++++++++++++++++++++++++++++++" << std::endl << std::endl;
       std::cout << "Quality Info for " << strk.Data() << " Track Collections" << std::endl;
       std::cout << "==========================================" << std::endl;
 
       totalsout << strk.Data() << " Tracks" << std::endl;
       totalsout << "++++++++++++++++++++++++++++++++++++++++++" << std::endl << std::endl;
       totalsout << "Quality Info for " << strk.Data() << " Track Collections" << std::endl;
       totalsout << "==========================================" << std::endl;
       for (auto o = 0U; o < ncolls; o++) {
         const auto& scoll = scolls[o];
 
         const Float_t nHits_mean = hists[Form("%i_%i_0_%i", j, k, o)]->GetMean(1);           // 1 is mean of x-axis
         const Float_t nHits_mean_unc = hists[Form("%i_%i_0_%i", j, k, o)]->GetMeanError(1);  // 1 is mean of x-axis
         const Float_t fracHits_mean = hists[Form("%i_%i_1_%i", j, k, o)]->GetMean(1);
         const Float_t fracHits_mean_unc = hists[Form("%i_%i_1_%i", j, k, o)]->GetMeanError(1);
         const Float_t score_mean = hists[Form("%i_%i_2_%i", j, k, o)]->GetMean(1);
         const Float_t score_mean_unc = hists[Form("%i_%i_2_%i", j, k, o)]->GetMeanError(1);
 
         std::cout << scoll.Data() << " Tracks" << std::endl;
         std::cout << "Mean nHits / Track = " << nHits_mean << " +/- " << nHits_mean_unc << std::endl;
         std::cout << "Mean Shared Hits / Track = " << fracHits_mean << " +/- " << fracHits_mean_unc << std::endl;
         std::cout << "Mean Track Score = " << score_mean << " +/- " << score_mean_unc << std::endl;
         std::cout << "------------------------------------------" << std::endl;
 
         totalsout << scoll.Data() << " Tracks" << std::endl;
         totalsout << "Mean nHits / Track = " << nHits_mean << " +/- " << nHits_mean_unc << std::endl;
         totalsout << "Mean Shared Hits / Track = " << fracHits_mean << " +/- " << fracHits_mean_unc << std::endl;
         totalsout << "Mean Track Score = " << score_mean << " +/- " << score_mean_unc << std::endl;
         totalsout << "------------------------------------------" << std::endl;
       }
 
       std::cout << std::endl << "Rates for " << strk.Data() << " Tracks" << std::endl;
       std::cout << "==========================================" << std::endl;
 
       totalsout << std::endl << "Rates for " << strk.Data() << " Tracks" << std::endl;
       totalsout << "==========================================" << std::endl;
       for (auto l = 0U; l < nrates; l++) {
         const auto& snumer = snumers[l];
         const auto& sdenom = sdenoms[l];
         const auto& srate = srates[l];
 
         EffStruct effs;
         PlotValidation::GetTotalEfficiency(plots[Form("%i_%i_%i", j, k, l)], effs);
 
         std::cout << snumer.Data() << ": " << effs.passed_ << std::endl;
         std::cout << sdenom.Data() << ": " << effs.total_ << std::endl;
         std::cout << "------------------------------------------" << std::endl;
         std::cout << srate.Data() << ": " << effs.eff_ << ", -" << effs.elow_ << ", +" << effs.eup_ << std::endl;
         std::cout << "------------------------------------------" << std::endl;
 
         totalsout << snumer.Data() << ": " << effs.passed_ << std::endl;
         totalsout << sdenom.Data() << ": " << effs.total_ << std::endl;
         totalsout << "------------------------------------------" << std::endl;
         totalsout << srate.Data() << ": " << effs.eff_ << ", -" << effs.elow_ << ", +" << effs.eup_ << std::endl;
         totalsout << "------------------------------------------" << std::endl;
       }
       std::cout << std::endl << std::endl;
       totalsout << std::endl << std::endl;
     }
   }
 
   // delete everything
   for (auto& hist : hists)
     delete hist.second;
   for (auto& plot : plots)
     delete plot.second;
 }
 
 template <typename T>
 void PlotValidation::DrawWriteSavePlot(T*& plot, TDirectory*& subdir, const TString& subdirname, const TString& option) {
   // cd into root subdir and save
   subdir->cd();
   plot->SetDirectory(subdir);
   plot->Write(plot->GetName(), TObject::kWriteDelete);
 
   // draw it
   if (fSaveAs) {
     auto canv = new TCanvas();
     canv->cd();
     plot->Draw(option.Data());
 
     // first save log
     canv->SetLogy(1);
     canv->SaveAs(Form("%s/%s/log/%s.%s", fOutName.Data(), subdirname.Data(), plot->GetName(), fOutType.Data()));
 
     // then lin
     canv->SetLogy(0);
     canv->SaveAs(Form("%s/%s/lin/%s.%s", fOutName.Data(), subdirname.Data(), plot->GetName(), fOutType.Data()));
 
     delete canv;
   }
 }
 
 void PlotValidation::GetTotalEfficiency(const TEfficiency* eff, EffStruct& effs) {
   effs.passed_ = eff->GetPassedHistogram()->Integral();
   effs.total_ = eff->GetTotalHistogram()->Integral();
 
   auto tmp_eff = new TEfficiency("tmp_eff", "tmp_eff", 1, 0, 1);
   tmp_eff->SetTotalEvents(1, effs.total_);
   tmp_eff->SetPassedEvents(1, effs.passed_);
 
   effs.eff_ = tmp_eff->GetEfficiency(1);
   effs.elow_ = tmp_eff->GetEfficiencyErrorLow(1);
   effs.eup_ = tmp_eff->GetEfficiencyErrorUp(1);
 
   delete tmp_eff;
 }
 
 void PlotValidation::MakeOutDir(const TString& outdirname) {
   // make output directory
   FileStat_t dummyFileStat;
   if (gSystem->GetPathInfo(outdirname.Data(), dummyFileStat) == 1) {
     const TString mkDir = "mkdir -p " + outdirname;
     gSystem->Exec(mkDir.Data());
   }
 }
 
 void PlotValidation::MoveInput() {
   const TString mvin = "mv " + fInName + " " + fOutName;
   gSystem->Exec(mvin.Data());
 }
 
 TDirectory* PlotValidation::MakeSubDirs(const TString& subdirname) {
   PlotValidation::MakeOutDir(fOutName + "/" + subdirname);
   PlotValidation::MakeOutDir(fOutName + "/" + subdirname + "/lin");
   PlotValidation::MakeOutDir(fOutName + "/" + subdirname + "/log");
 
   return fOutRoot->mkdir(subdirname.Data());
 }
 
 void PlotValidation::SetupStyle() {
   // General style
   gROOT->Reset();
   gStyle->SetOptStat("emou");
   gStyle->SetTitleFontSize(0.04);
   gStyle->SetOptFit(1011);
   gStyle->SetStatX(0.9);
   gStyle->SetStatW(0.1);
   gStyle->SetStatY(1.0);
   gStyle->SetStatH(0.08);
 }
 
 void PlotValidation::SetupBins() {
   // pt bins
   PlotValidation::SetupVariableBins(
       "0 0.25 0.5 0.75 1 1.25 1.5 1.75 2 2.5 3 3.5 4 4.5 5 5 6 7 8 9 10 15 20 25 30 40 50 100 200 500 1000", fPtBins);
 
   // eta bins
   PlotValidation::SetupFixedBins(60, -3, 3, fEtaBins);
 
   // phi bins
   PlotValidation::SetupFixedBins(70, -3.5, 3.5, fPhiBins);
 
   // nLayers bins
   PlotValidation::SetupFixedBins(26, -0.5, 25.5, fNLayersBins);
 
   // nHits bins
   PlotValidation::SetupFixedBins(40, 0, 40, fNHitsBins);
 
   // fraction hits matched bins
   PlotValidation::SetupFixedBins(110, 0, 1.1, fFracHitsBins);
 
   // track score bins
   PlotValidation::SetupFixedBins(50, -500, 5000, fScoreBins);
 
   // dNhits
   PlotValidation::SetupFixedBins(40, -20, 20, fDNHitsBins);
 
   // dinvpt
   PlotValidation::SetupFixedBins(45, -1.0, 1.0, fDInvPtBins);
 
   // dphi
   PlotValidation::SetupFixedBins(45, -0.1, 0.1, fDPhiBins);
 
   // deta
   PlotValidation::SetupFixedBins(45, -0.1, 0.1, fDEtaBins);
 }
 
 void PlotValidation::SetupVariableBins(const std::string& s_bins, DblVec& bins) {
   std::stringstream ss(s_bins);
   Double_t boundary;
   while (ss >> boundary)
     bins.emplace_back(boundary);
 }
 
 void PlotValidation::SetupFixedBins(const UInt_t nBins, const Double_t low, const Double_t high, DblVec& bins) {
   const Double_t width = (high - low) / nBins;
 
   for (auto i = 0U; i <= nBins; i++)
     bins.emplace_back(i * width + low);
 }
 
 void PlotValidation::SetupCommonVars() {
   // common kinematic variables
   fVars = {"pt", "eta", "phi", "nLayers"};
   fSVars = {"p_{T}", "#eta", "#phi", "Number of layers"};  // svars --> labels for histograms for given variable
   fSUnits = {"GeV/c", "", "", ""};                         // units --> labels for histograms for given variable
   fNVars = fVars.size();
 
   fSVarPt = fSVars[0];
   fSUnitPt = fSUnits[0];
 
   // add square brackets around units
   for (auto& sunit : fSUnits) {
     if (!sunit.EqualTo("")) {
       sunit.Prepend(" [");
       sunit.Append("]");
     }
   }
 
   // get bins ready for rate variables
   fVarBins = {fPtBins, fEtaBins, fPhiBins, fNLayersBins};
 
   // which tracks to use
   fTrks = (fCmsswComp ? TStrVec{"build", "fit"} : TStrVec{"seed", "build", "fit"});
   fSTrks = (fCmsswComp ? TStrVec{"Build", "Fit"}
                        : TStrVec{"Seed", "Build", "Fit"});  // strk --> labels for histograms for given track type
   fNTrks = fTrks.size();
 
   // which pt cuts
   fPtCuts = {0.f, 0.9f, 2.f};
   for (const auto ptcut : fPtCuts) {
     fSPtCuts.emplace_back(Form("%3.1f", ptcut));
   }
   for (const auto& sptcut : fSPtCuts) {
     TString hptcut = sptcut;
     hptcut.ReplaceAll(".", "p");
     fHPtCuts.emplace_back(hptcut);
   }
   fNPtCuts = fPtCuts.size();
 
   // quality info
   fTrkQual = {"nHits", "fracHitsMatched", "score"};
   fSTrkQual = {"nHits / Track", "Highest Fraction of Matched Hits / Track", "Track Score"};
   fNTrkQual = fTrkQual.size();
 
   // reference related strings
   fSRefTitle = (fCmsswComp ? "CMSSW" : "Sim");
   fSRefVar = (fCmsswComp ? "cmssw" : "mc_gen");
   fSRefMask = (fCmsswComp ? "cmssw" : "mc");
   fSRefVarTrk = (fCmsswComp ? "cmssw" : "mc");
   fSRefDir = (fCmsswComp ? "_cmssw" : "");
   fSRefOut = (fCmsswComp ? "_cmssw" : "");
 }

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