MatchGlobalFwd.cxx

Go to the documentation of this file.

// Copyright 2019-2020 CERN and copyright holders of ALICE O2.
// See https://alice-o2.web.cern.ch/copyright for details of the copyright holders.
// All rights not expressly granted are reserved.
//
// This software is distributed under the terms of the GNU General Public
// License v3 (GPL Version 3), copied verbatim in the file "COPYING".
//
// In applying this license CERN does not waive the privileges and immunities
// granted to it by virtue of its status as an Intergovernmental Organization
// or submit itself to any jurisdiction.
 
#include "GlobalTracking/MatchGlobalFwd.h"
#include <queue>
 
using namespace o2::globaltracking;
 
//_________________________________________________________
void MatchGlobalFwd::init()
{
 
  LOG(info) << "Initializing Global Forward Matcher";
 
  auto& matchingParam = GlobalFwdMatchingParam::Instance();
 
  setMFTRadLength(matchingParam.MFTRadLength);
  LOG(info) << "MFT Radiation Length = " << mMFTDiskThicknessInX0 * 5.;
 
  setAlignResiduals(matchingParam.alignResidual);
  LOG(info) << "MFT Align residuals = " << mAlignResidual;
 
  mMatchingPlaneZ = matchingParam.matchPlaneZ;
  LOG(info) << "MFTMCH matchingPlaneZ = " << mMatchingPlaneZ;
 
  auto& matchingFcnStr = matchingParam.matchFcn;
  LOG(info) << "Match function string = " << matchingFcnStr;
 
  if (matchingParam.isMatchUpstream()) {
    LOG(info) << "  ==> Setting Upstream matching.";
    mMatchingType = MATCHINGUPSTREAM;
  } else if (matchingParam.matchingExternalFunction()) {
    loadExternalMatchingFunction();
    mMatchingType = MATCHINGFUNC;
  } else {
    if (mMatchingFunctionMap.find(matchingFcnStr) != mMatchingFunctionMap.end()) {
      mMatchFunc = mMatchingFunctionMap[matchingFcnStr];
      mMatchingType = MATCHINGFUNC;
      LOG(info) << "  Found built-in matching function " << matchingFcnStr;
    } else {
      throw std::invalid_argument("Invalid matching function! Aborting...");
    }
  }
 
  auto& cutFcnStr = matchingParam.cutFcn;
  LOG(info) << "MFTMCH pair candidate cut function string = " << cutFcnStr;
 
  if (matchingParam.cutExternalFunction()) {
    loadExternalCutFunction();
  } else if (mCutFunctionMap.find(cutFcnStr) != mCutFunctionMap.end()) {
    mCutFunc = mCutFunctionMap[cutFcnStr];
    LOG(info) << "  Found built-in cut function " << cutFcnStr;
  } else {
    throw std::invalid_argument("Invalid cut function! Aborting...");
  }
 
  mUseMIDMCHMatch = matchingParam.useMIDMatch;
  LOG(info) << "UseMIDMCH Matching = " << (mUseMIDMCHMatch ? "true" : "false");
 
  mUseTrackTime = matchingParam.useTrackTime;
  LOG(info) << "Use track time = " << (mUseTrackTime ? "true" : "false");
 
  mSaveMode = matchingParam.saveMode;
  LOG(info) << "Save mode MFTMCH candidates = " << mSaveMode;
 
  mNCandidates = matchingParam.nCandidates;
}
 
//_________________________________________________________
void MatchGlobalFwd::run(const o2::globaltracking::RecoContainer& inp)
{
 
  auto& matchingParam = GlobalFwdMatchingParam::Instance();
 
  mRecoCont = &inp;
  mStartIR = inp.startIR;
 
  clear();
 
  if (!prepareMFTData() || !prepareMCHData() || !processMCHMIDMatches()) {
    return;
  }
 
  if (matchingParam.MCMatching) { // MC Label matching
    mMCTruthON ? doMCMatching() : throw std::runtime_error("Label matching requries MC Labels!");
  } else {
    switch (mMatchingType) {
      case MATCHINGFUNC:
        switch (mSaveMode) {
          case kBestMatch:
            doMatching<kBestMatch>();
            break;
          case kSaveAll:
            doMatching<kSaveAll>();
            break;
          case kSaveTrainingData:
            doMatching<kSaveTrainingData>();
            break;
          case kSaveNCandidates:
            doMatching<kSaveNCandidates>();
            break;
          default:
            LOG(fatal) << "Invalid MFTMCH save mode";
        }
        break;
      case MATCHINGUPSTREAM:
        loadMatches();
        break;
      default:
        LOG(fatal) << "Invalid MFTMCH matching mode";
    }
  }
 
  fitTracks();
  finalize();
}
 
//_________________________________________________________
void MatchGlobalFwd::finalize()
{
  LOG(info) << " Finalizing GlobalForwardMatch. Pushing " << mMatchedTracks.size() << " matched tracks";
}
 
//_________________________________________________________
void MatchGlobalFwd::clear()
{
  mMCHROFTimes.clear();
  mMCHWork.clear();
  mMFTROFTimes.clear();
  mMFTWork.clear();
  mMFTClusters.clear();
  mMatchedTracks.clear();
  mMatchLabels.clear();
  mMFTTrackROFContMapping.clear();
  mMatchingInfo.clear();
  mCandidates.clear();
}
 
//_________________________________________________________
bool MatchGlobalFwd::prepareMCHData()
{
  const auto& inp = *mRecoCont;
 
  // Load MCH tracks
  mMCHTracks = inp.getMCHTracks();
  mMCHTrackROFRec = inp.getMCHTracksROFRecords();
  if (mMCTruthON) {
    mMCHTrkLabels = inp.getMCHTracksMCLabels();
  }
  int nROFs = mMCHTrackROFRec.size();
  LOG(info) << "Loaded " << mMCHTracks.size() << " MCH Tracks in " << nROFs << " ROFs";
  if (mMCHTracks.empty()) {
    return false;
  }
  mMCHWork.reserve(mMCHTracks.size());
  mMCHID2Work.clear();
  mMCHID2Work.resize(mMCHTracks.size(), -1);
  static int BCDiffErrCount = 0;
  constexpr int MAXBCDiffErrCount = 2;
 
  for (int irof = 0; irof < nROFs; irof++) {
    const auto& rofRec = mMCHTrackROFRec[irof];
 
    int nBC = rofRec.getBCData().differenceInBC(mStartIR);
    if (nBC < 0) {
      if (BCDiffErrCount++ < MAXBCDiffErrCount) {
        LOGP(alarm, "wrong bunches diff. {} for current IR {} wrt 1st TF orbit {} in MCH data", nBC, rofRec.getBCData().asString(), mStartIR.asString());
      }
    }
    float tMin = nBC * o2::constants::lhc::LHCBunchSpacingMUS;
    float tMax = (nBC + rofRec.getBCWidth()) * o2::constants::lhc::LHCBunchSpacingMUS;
    auto mchTime = rofRec.getTimeMUS(mStartIR).first;
 
    mMCHROFTimes.emplace_back(tMin, tMax); // MCH ROF min/max time
    LOG(debug) << "MCH ROF # " << irof << " " << rofRec.getBCData() << " [tMin;tMax] = [" << tMin << ";" << tMax << "]";
    int trlim = rofRec.getFirstIdx() + rofRec.getNEntries();
    for (int it = rofRec.getFirstIdx(); it < trlim; it++) {
      auto& trcOrig = mMCHTracks[it];
      int nWorkTracks = mMCHWork.size();
      mMCHID2Work[it] = nWorkTracks;
      // working copy MCH track propagated to matching plane and converted to the forward track format
      o2::mch::TrackParam tempParam(trcOrig.getZ(), trcOrig.getParameters(), trcOrig.getCovariances());
      if (!o2::mch::TrackExtrap::extrapToVertexWithoutBranson(tempParam, mMatchingPlaneZ)) {
        LOG(warning) << "MCH track propagation to matching plane failed!";
        continue;
      }
      auto convertedTrack = MCHtoFwd(tempParam);
      auto& thisMCHTrack = mMCHWork.emplace_back(TrackLocMCH{convertedTrack, {tMin, tMax}});
      thisMCHTrack.setMCHTrackID(it);
      thisMCHTrack.setTimeMUS(mchTime);
    }
  }
  return true;
}
 
//_________________________________________________________
bool MatchGlobalFwd::processMCHMIDMatches()
{
  if (mUseMIDMCHMatch) {
    const auto& inp = *mRecoCont;
 
    // Load MCHMID matches
    mMCHMIDMatches = inp.getMCHMIDMatches();
 
    LOG(info) << "Loaded " << mMCHMIDMatches.size() << " MCHMID matches";
 
    for (const auto& MIDMatch : mMCHMIDMatches) {
      const auto& MCHId = MIDMatch.getMCHRef().getIndex();
      const auto& MIDId = MIDMatch.getMIDRef().getIndex();
      auto& thisMuonTrack = mMCHWork[mMCHID2Work[MCHId]];
      LOG(debug) << " MCHId: " << MCHId << " --> mMCHID2Work[MCHId]:" << mMCHID2Work[MCHId];
      const auto& IR = MIDMatch.getIR();
      int nBC = IR.differenceInBC(mStartIR);
      float tMin = (nBC - 1) * o2::constants::lhc::LHCBunchSpacingMUS;
      float tMax = (nBC + 2) * o2::constants::lhc::LHCBunchSpacingMUS;
      thisMuonTrack.setMIDTrackID(MIDId);
      thisMuonTrack.setTimeMUS(MIDMatch.getTimeMUS(mStartIR).first);
      thisMuonTrack.tBracket.set(tMin, tMax);
      thisMuonTrack.setMIDMatchingChi2(MIDMatch.getMatchChi2OverNDF());
    }
  }
  return true;
}
 
//_________________________________________________________
bool MatchGlobalFwd::prepareMFTData()
{
  const auto& inp = *mRecoCont;
 
  // MFT clusters
  mMFTClusterROFRec = inp.getMFTClustersROFRecords();
  mMFTTrackClusIdx = inp.getMFTTracksClusterRefs();
  const auto clusMFT = inp.getMFTClusters();
  if (mMFTClusterROFRec.empty() || clusMFT.empty()) {
    return false;
  }
  const auto patterns = inp.getMFTClustersPatterns();
  auto pattIt = patterns.begin();
  mMFTClusters.reserve(clusMFT.size());
  o2::mft::ioutils::convertCompactClusters(clusMFT, pattIt, mMFTClusters, mMFTDict);
 
  // Load MFT tracks
  mMFTTracks = inp.getMFTTracks();
  mMFTTrackROFRec = inp.getMFTTracksROFRecords();
  if (mMCTruthON) {
    mMFTTrkLabels = inp.getMFTTracksMCLabels();
  }
  int nROFs = mMFTTrackROFRec.size();
 
  LOG(info) << "Loaded " << mMFTTracks.size() << " MFT Tracks in " << nROFs << " ROFs";
  if (mMFTTracks.empty()) {
    return false;
  }
  mMFTWork.reserve(mMFTTracks.size());
  static int BCDiffErrCount = 0;
  constexpr int MAXBCDiffErrCount = 2;
 
  for (int irof = 0; irof < nROFs; irof++) {
    const auto& rofRec = mMFTTrackROFRec[irof];
    int nBC = rofRec.getBCData().differenceInBC(mStartIR);
    if (nBC < 0) {
      if (BCDiffErrCount++ < MAXBCDiffErrCount) {
        LOGP(alarm, "TF dropped: wrong bunches diff. {} for current IR {} wrt 1st TF orbit {} in MFT data", nBC, rofRec.getBCData().asString(), mStartIR.asString());
      }
      return false;
    }
    float tMin = (nBC + mMFTROFrameBiasInBC) * o2::constants::lhc::LHCBunchSpacingMUS;
    float tMax = (nBC + mMFTROFrameLengthInBC + mMFTROFrameBiasInBC) * o2::constants::lhc::LHCBunchSpacingMUS;
    if (!mMFTTriggered) {
      auto irofCont = (nBC + mMFTROFrameBiasInBC) / mMFTROFrameLengthInBC;
      if (mMFTTrackROFContMapping.size() <= irofCont) { // there might be gaps in the non-empty rofs, this will map continuous ROFs index to non empty ones
        mMFTTrackROFContMapping.resize((1 + irofCont / 128) * 128, 0);
      }
      mMFTTrackROFContMapping[irofCont] = irof;
    }
    mMFTROFTimes.emplace_back(tMin, tMax); // MFT ROF min/max time
    LOG(debug) << "MFT ROF # " << irof << " " << rofRec.getBCData() << " [tMin;tMax] = [" << tMin << ";" << tMax << "]";
 
    int trlim = rofRec.getFirstEntry() + rofRec.getNEntries();
    for (int it = rofRec.getFirstEntry(); it < trlim; it++) {
      const auto& trcOrig = mMFTTracks[it];
 
      int nWorkTracks = mMFTWork.size();
      // working copy of outer track param
      auto& trc = mMFTWork.emplace_back(TrackLocMFT{trcOrig, {tMin, tMax}, irof});
      trc.setParameters(trcOrig.getOutParam().getParameters());
      trc.setZ(trcOrig.getOutParam().getZ());
      trc.setCovariances(trcOrig.getOutParam().getCovariances());
      trc.setTrackChi2(trcOrig.getOutParam().getTrackChi2());
      // Extrapolate MFT track parameters and covariances matrix to "mMatchingPlaneZ"
      // Parameters: helix track model; Error propagation: Quadratic
      // If "mBz" is zero: linear track model
      trc.propagateToZ(mMatchingPlaneZ, mBz);
    }
  }
 
  return true;
}
 
//_________________________________________________________
void MatchGlobalFwd::loadMatches()
{
 
  const auto& inp = *mRecoCont;
  int nFakes = 0, nTrue = 0;
 
  // Load MFT-MCH matching info
  mMatchingInfoUpstream = inp.getMFTMCHMatches();
 
  LOG(info) << "Loaded " << mMatchingInfoUpstream.size() << " MFTMCH Matches";
 
  for (const auto& match : mMatchingInfoUpstream) {
    auto MFTId = match.getMFTTrackID();
    auto MCHId = match.getMCHTrackID();
    LOG(debug) << "     ==> MFTId = " << MFTId << " MCHId =  " << MCHId << std::endl;
 
    auto& thisMCHTrack = mMCHWork[mMCHID2Work[MCHId]];
    thisMCHTrack.setMatchInfo(match);
    mMatchedTracks.emplace_back(thisMCHTrack);
    if (mMCTruthON) {
      mMatchLabels.push_back(computeLabel(MCHId, MFTId));
      mMatchLabels.back().isFake() ? nFakes++ : nTrue++;
    }
  }
 
  LOG(info) << " Done matching from upstream " << mMFTWork.size() << " MFT tracks with " << mMCHWork.size() << "  MCH Tracks.";
  if (mMCTruthON) {
    LOG(info) << "   nFakes = " << nFakes << " nTrue = " << nTrue;
  }
}
 
//_________________________________________________________
template <Int_t saveAllMode>
void MatchGlobalFwd::doMatching()
{
  // Range of compatible MCH ROFS for the first MFT track
  int nMCHROFs = mMCHROFTimes.size();
 
  LOG(info) << "Running MCH-MFT Track Matching.";
  // ROFrame of first MFT track
  auto firstMFTTrackIdInROF = 0;
  auto MFTROFId = mMFTWork.front().roFrame;
  LOG(debug) << "(*) nMCHROFs: " << nMCHROFs << ", mMFTTracks.size(): " << mMFTTracks.size() << " MFTROFId: " << MFTROFId << ",  mMFTTrackROFRec.size(): " << mMFTTrackROFRec.size();
 
  while ((firstMFTTrackIdInROF < mMFTTracks.size()) && (MFTROFId < mMFTTrackROFRec.size())) {
    auto MFTROFId = mMFTWork[firstMFTTrackIdInROF].roFrame;
    const auto& thisMFTBracket = mMFTROFTimes[MFTROFId];
    auto nMFTTracksInROF = mMFTTrackROFRec[MFTROFId].getNEntries();
    firstMFTTrackIdInROF = mMFTTrackROFRec[MFTROFId].getFirstEntry();
    LOG(debug) << "MFT ROF = " << MFTROFId << "; interval: [" << thisMFTBracket.getMin() << "," << thisMFTBracket.getMax() << "]";
    LOG(debug) << "ROF " << MFTROFId << " : firstMFTTrackIdInROF " << firstMFTTrackIdInROF << " ; nMFTTracksInROF = " << nMFTTracksInROF;
    firstMFTTrackIdInROF += nMFTTracksInROF;
 
    int mchROFMatchFirst = -1;
    int mchROFMatchLast = -1;
    int mchROF = 0;
    // loop over MCH ROFs that are not newer than the current MFT ROF
    while (mchROF < nMCHROFs && !(thisMFTBracket < mMCHROFTimes[mchROF])) {
      // only consider non-empty MCH ROFs that overlap with the MFT one
      if (mMCHTrackROFRec[mchROF].getNEntries() > 0 && !(thisMFTBracket.isOutside(mMCHROFTimes[mchROF]))) {
        // set the index of the first MCH ROF if not yet initialized
        if (mchROFMatchFirst < 0) {
          mchROFMatchFirst = mchROF;
        }
        // update the index of the last MCH ROF
        mchROFMatchLast = mchROF;
      }
      mchROF++;
    }
    // skip if the index of the first MCH ROF is not set
    if (mchROFMatchFirst < 0) {
      continue;
    }
    LOG(debug) << "FIRST MCH ROF " << mchROFMatchFirst << "; interval: ["
               << mMCHROFTimes[mchROFMatchFirst].getMin() << ","
               << mMCHROFTimes[mchROFMatchFirst].getMax() << "]  size: " << mMCHTrackROFRec[mchROFMatchFirst].getNEntries();
    LOG(debug) << "LAST  MCH ROF " << mchROFMatchLast << "; interval: ["
               << mMCHROFTimes[mchROFMatchLast].getMin() << ","
               << mMCHROFTimes[mchROFMatchLast].getMax() << "]  size: " << mMCHTrackROFRec[mchROFMatchLast].getNEntries();
 
    ROFMatch<saveAllMode>(MFTROFId, mchROFMatchFirst, mchROFMatchLast);
  }
 
  if constexpr (saveAllMode == SaveMode::kBestMatch) { // Otherwise output container is filled by ROFMatch()
    int nFakes = 0, nTrue = 0;
    for (auto& thisMCHTrack : mMCHWork) {
      auto bestMFTMatchID = thisMCHTrack.getMFTTrackID();
      if (bestMFTMatchID >= 0) { // If there is a match, add to output container
        if (mMCTruthON) {
          mMatchLabels.push_back(computeLabel(thisMCHTrack.getMCHTrackID(), bestMFTMatchID));
          mMatchLabels.back().isFake() ? nFakes++ : nTrue++;
        }
 
        thisMCHTrack.setMFTTrackID(bestMFTMatchID);
        LOG(debug) << "    thisMCHTrack.getMFTTrackID() = " << thisMCHTrack.getMFTTrackID()
                   << "; thisMCHTrack.getMFTMCHMatchingChi2() = " << thisMCHTrack.getMFTMCHMatchingChi2();
 
        mMatchedTracks.emplace_back(thisMCHTrack);
        mMatchingInfo.emplace_back(thisMCHTrack);
      }
    }
    if (mMCTruthON) {
      LOG(info) << "  MFT-MCH Matching: nFakes = " << nFakes << " nTrue = " << nTrue;
    }
  } else if constexpr (saveAllMode == SaveMode::kSaveNCandidates) {
    int nFakes = 0, nTrue = 0;
    auto& matchAllChi2 = mMatchingFunctionMap["matchALL"];
    for (auto MCHId = 0; MCHId < mMCHWork.size(); MCHId++) {
      auto& thisMCHTrack = mMCHWork[MCHId];
      for (auto& pairCandidate : mCandidates[MCHId]) {
        thisMCHTrack.setMFTTrackID(pairCandidate.second);
        auto& thisMFTTrack = mMFTWork[pairCandidate.second];
        auto chi2 = matchAllChi2(thisMCHTrack, thisMFTTrack); // Matching chi2 is stored independently
        thisMCHTrack.setMFTMCHMatchingScore(pairCandidate.first);
        thisMCHTrack.setMFTMCHMatchingChi2(chi2);
        mMatchedTracks.emplace_back(thisMCHTrack);
        mMatchingInfo.emplace_back(thisMCHTrack);
        if (mMCTruthON) {
          mMatchLabels.push_back(computeLabel(MCHId, pairCandidate.second));
          mMatchLabels.back().isFake() ? nFakes++ : nTrue++;
        }
      }
    }
  }
}
 
//_________________________________________________________
template <Int_t saveAllMode>
void MatchGlobalFwd::ROFMatch(int MFTROFId, int firstMCHROFId, int lastMCHROFId)
{
  const auto& thisMFTROF = mMFTTrackROFRec[MFTROFId];
  const auto& thisMFTBracket = mMFTROFTimes[MFTROFId];
  const auto& firstMCHROF = mMCHTrackROFRec[firstMCHROFId];
  const auto& lastMCHROF = mMCHTrackROFRec[lastMCHROFId];
  int nFakes = 0, nTrue = 0;
 
  auto compare = [](const std::pair<int, int>& a, const std::pair<int, int>& b) {
    return a.first < b.first;
  };
 
  auto firstMFTTrackID = thisMFTROF.getFirstEntry();
  auto lastMFTTrackID = firstMFTTrackID + thisMFTROF.getNEntries() - 1;
 
  auto firstMCHTrackID = firstMCHROF.getFirstIdx();
  auto lastMCHTrackID = lastMCHROF.getLastIdx();
 
  auto nMFTTracks = thisMFTROF.getNEntries();
  auto nMCHTracks = lastMCHTrackID - firstMCHTrackID + 1;
 
  auto& matchAllChi2 = mMatchingFunctionMap["matchALL"];
 
  LOG(debug) << "Matching MFT ROF " << MFTROFId << " with MCH ROFs [" << firstMCHROFId << "->" << lastMCHROFId << "]";
  LOG(debug) << "   firstMFTTrackID = " << firstMFTTrackID << " ; lastMFTTrackID = " << lastMFTTrackID;
  LOG(debug) << "   firstMCHTrackID = " << firstMCHTrackID << " ; lastMCHTrackID = " << lastMCHTrackID;
  LOG(debug) << "   thisMFTROF:  " << thisMFTROF.getBCData();
  LOG(debug) << "   firstMCHROF: " << firstMCHROF;
  LOG(debug) << "   lastMCHROF:  " << lastMCHROF;
 
  // loop over all MCH tracks
  for (auto MCHId = firstMCHTrackID; MCHId <= lastMCHTrackID; MCHId++) {
    auto& thisMCHTrack = mMCHWork[MCHId];
 
    // If enabled, use the muon track time to check if the track is correlated with the MFT ROF
    if (mUseTrackTime && (thisMFTBracket.isOutside(thisMCHTrack.tBracket))) {
      continue;
    }
 
    o2::MCCompLabel matchLabel;
    for (auto MFTId = firstMFTTrackID; MFTId <= lastMFTTrackID; MFTId++) {
      auto& thisMFTTrack = mMFTWork[MFTId];
      if (mMCTruthON) {
        matchLabel = computeLabel(MCHId, MFTId);
      }
      if (mCutFunc(thisMCHTrack, thisMFTTrack)) {
        thisMCHTrack.countMFTCandidate();
        if (mMCTruthON) {
          if (matchLabel.isCorrect()) {
            thisMCHTrack.setCloseMatch();
          }
        }
        auto score = mMatchFunc(thisMCHTrack, thisMFTTrack);
        if (score < thisMCHTrack.getMFTMCHMatchingScore()) {
          thisMCHTrack.setMFTTrackID(MFTId);
          auto chi2 = matchAllChi2(thisMCHTrack, thisMFTTrack); // Matching chi2 is stored independently
          thisMCHTrack.setMFTMCHMatchingScore(score);
          thisMCHTrack.setMFTMCHMatchingChi2(chi2);
        }
        if constexpr (saveAllMode == SaveMode::kSaveAll) { // In saveAllmode save all pairs to output container
          thisMCHTrack.setMFTTrackID(MFTId);
          mMatchedTracks.emplace_back(thisMCHTrack);
          mMatchingInfo.emplace_back(thisMCHTrack);
          if (mMCTruthON) {
            mMatchLabels.push_back(matchLabel);
            mMatchLabels.back().isFake() ? nFakes++ : nTrue++;
          }
        }
 
        if constexpr (saveAllMode == SaveMode::kSaveNCandidates) { // Save best N matching candidates
          auto score = mMatchFunc(thisMCHTrack, thisMFTTrack);
          std::pair<float, int> scoreID = {score, MFTId};
          mCandidates[MCHId].push_back(scoreID);
          std::sort(mCandidates[MCHId].begin(), mCandidates[MCHId].end(), compare);
          if (mCandidates[MCHId].size() > mNCandidates) {
            mCandidates[MCHId].pop_back();
          }
        }
 
        if constexpr (saveAllMode == SaveMode::kSaveTrainingData) { // In save training data mode store track parameters at matching plane
          thisMCHTrack.setMFTTrackID(MFTId);
          mMatchingInfo.emplace_back(thisMCHTrack);
          mMCHMatchPlaneParams.emplace_back(thisMCHTrack);
          mMFTMatchPlaneParams.emplace_back(static_cast<o2::mft::TrackMFT>(thisMFTTrack));
          if (mMCTruthON) {
            mMatchLabels.push_back(matchLabel);
            mMatchLabels.back().isFake() ? nFakes++ : nTrue++;
          }
        }
      }
    }
    auto bestMFTMatchID = thisMCHTrack.getMFTTrackID();
    LOG(debug) << "       Matching MCHId = " << MCHId << " ==> bestMFTMatchID = " << thisMCHTrack.getMFTTrackID() << " ; thisMCHTrack.getMFTMCHMatchingChi2() =  " << thisMCHTrack.getMFTMCHMatchingChi2();
    LOG(debug) << "         MCH COV<X,X> = " << thisMCHTrack.getSigma2X() << " ; COV<Y,Y> = " << thisMCHTrack.getSigma2Y() << " ; pt = " << thisMCHTrack.getPt();
 
  } // /loop over MCH tracks seeds
 
  LOG(debug) << "Finished matching MFT ROF " << MFTROFId << ": " << nMFTTracks << " MFT tracks and " << nMCHTracks << "  MCH Tracks.";
  if (mMCTruthON) {
    LOG(debug) << "   nFakes = " << nFakes << " nTrue = " << nTrue;
  }
}
 
//_________________________________________________________
o2::MCCompLabel MatchGlobalFwd::computeLabel(const int MCHId, const int MFTId)
{
  const auto& mchlabel = mMCHTrkLabels[MCHId];
  const auto& mftlabel = mMFTTrkLabels[MFTId];
  o2::MCCompLabel matchLabel = mchlabel;
  matchLabel.setFakeFlag(mftlabel.compare(mchlabel) != 1);
 
  LOG(debug) << "     Computing MFTMCH matching label:   MFTTruth = " << mftlabel << "  ;  MCHTruth = " << mchlabel << "  ;   Computed label = " << matchLabel;
 
  return matchLabel;
}
 
//_________________________________________________________
void MatchGlobalFwd::doMCMatching()
{
  int nFakes = 0, nTrue = 0;
 
  // loop over all MCH tracks
  for (auto MCHId = 0; MCHId < mMCHWork.size(); MCHId++) {
    auto& thisMCHTrack = mMCHWork[MCHId];
    const o2::MCCompLabel& thisMCHLabel = mMCHTrkLabels[mMCHID2Work[MCHId]];
 
    LOG(debug) << "   MCH Track # " << MCHId << " Label: " << thisMCHLabel;
    if (!((thisMCHLabel).isSet())) {
      continue;
    }
    for (auto MFTId = 0; MFTId < mMFTWork.size(); MFTId++) {
      auto& thisMFTTrack = mMFTWork[MFTId];
      o2::MCCompLabel matchLabel = computeLabel(MCHId, MFTId);
 
      if (matchLabel.isCorrect()) {
        nTrue++;
        thisMCHTrack.setCloseMatch();
        auto chi2 = mMatchFunc(thisMCHTrack, thisMFTTrack);
        thisMCHTrack.setMFTTrackID(MFTId);
        thisMCHTrack.setMFTMCHMatchingChi2(chi2);
        mMatchedTracks.emplace_back(thisMCHTrack);
        mMatchingInfo.emplace_back(thisMCHTrack);
        mMatchLabels.push_back(matchLabel);
        auto bestMFTMatchID = thisMCHTrack.getMFTTrackID();
        LOG(debug) << "       Matching MCHId = " << MCHId << " ==> bestMFTMatchID = " << thisMCHTrack.getMFTTrackID() << " ; thisMCHTrack.getMFTMCHMatchingChi2() =  " << thisMCHTrack.getMFTMCHMatchingChi2();
        LOG(debug) << "         MCH COV<X,X> = " << thisMCHTrack.getSigma2X() << " ; COV<Y,Y> = " << thisMCHTrack.getSigma2Y() << " ; pt = " << thisMCHTrack.getPt();
        LOG(debug) << "   Label: " << matchLabel;
        break;
      }
    }
 
  } // /loop over MCH tracks seeds
 
  auto nMFTTracks = mMFTWork.size();
  auto nMCHTracks = mMCHWork.size();
 
  LOG(info) << " Done MC matching of " << nMFTTracks << " MFT tracks with " << nMCHTracks << "  MCH Tracks. nFakes = " << nFakes << " nTrue = " << nTrue;
}
 
//_________________________________________________________________________________________________
void MatchGlobalFwd::fitTracks()
{
  LOG(info) << "Fitting global muon tracks...";
 
  auto GTrackID = 0;
 
  for (auto& track : mMatchedTracks) {
    LOG(debug) << "  ==> Fitting Global Track # " << GTrackID << " with MFT track # " << track.getMFTTrackID() << ":";
    fitGlobalMuonTrack(track);
    GTrackID++;
  }
 
  LOG(info) << "Finished fitting global muon tracks.";
}
 
//_________________________________________________________________________________________________
void MatchGlobalFwd::fitGlobalMuonTrack(o2::dataformats::GlobalFwdTrack& gTrack)
{
  const auto& MFTMatchId = gTrack.getMFTTrackID();
  const auto& mftTrack = mMFTTracks[MFTMatchId];
  const auto& mftTrackOut = mMFTWork[MFTMatchId];
  auto ncls = mftTrack.getNumberOfPoints();
  auto offset = mftTrack.getExternalClusterIndexOffset();
 
  LOG(debug) << "***************************** Start Fitting new track *****************************";
  LOG(debug) << "N Clusters = " << ncls << "  Best MFT Track Match ID " << gTrack.getMFTTrackID() << "  MCHTrack: X = " << gTrack.getX() << " Y = " << gTrack.getY() << " Z = " << gTrack.getZ() << " Tgl = " << gTrack.getTanl() << "  Phi = " << gTrack.getPhi() << " pz = " << gTrack.getPz() << " qpt = " << 1.0 / gTrack.getInvQPt();
 
  LOG(debug) << "MFTTrack: X = " << mftTrackOut.getX()
             << " Y = " << mftTrackOut.getY() << " Z = " << mftTrackOut.getZ()
             << " Tgl = " << mftTrackOut.getTanl()
             << "  Phi = " << mftTrackOut.getPhi() << " pz = " << mftTrackOut.getPz()
             << " qpt = " << 1.0 / mftTrackOut.getInvQPt();
  LOG(debug) << "  initTrack GlobalTrack: q/pt = " << gTrack.getInvQPt() << std::endl;
 
  auto lastLayer = mMFTMapping.ChipID2Layer[mMFTClusters[offset + ncls - 1].getSensorID()];
  LOG(debug) << "Starting by MFTCluster offset " << offset + ncls - 1 << " at lastLayer " << lastLayer;
 
  for (int icls = ncls - 1; icls > -1; --icls) {
    auto clsEntry = mMFTTrackClusIdx[offset + icls];
    auto& thiscluster = mMFTClusters[clsEntry];
    LOG(debug) << "Computing MFTCluster clsEntry " << clsEntry << " at Z = " << thiscluster.getZ();
 
    computeCluster(gTrack, thiscluster, lastLayer);
  }
}
 
//_________________________________________________________________________________________________
bool MatchGlobalFwd::computeCluster(o2::dataformats::GlobalFwdTrack& track, const MFTCluster& cluster, int& startingLayerID)
{
 
  const auto& clx = cluster.getX();
  const auto& cly = cluster.getY();
  const auto& clz = cluster.getZ();
  const auto& sigmaX2 = cluster.getSigmaY2() * mAlignResidual * mAlignResidual;
  ; // ALPIDE local Y coordinate => MFT global X coordinate (ALPIDE rows)
  const auto& sigmaY2 = cluster.getSigmaZ2() * mAlignResidual * mAlignResidual;
  ; // ALPIDE local Z coordinate => MFT global Y coordinate (ALPIDE columns)
 
  const auto& newLayerID = mMFTMapping.ChipID2Layer[cluster.getSensorID()];
  LOG(debug) << "computeCluster:     X = " << clx << " Y = " << cly << " Z = " << clz << " nCluster = " << newLayerID;
 
  if (!propagateToNextClusterWithMCS(track, clz, startingLayerID, newLayerID)) {
    return false;
  }
 
  LOG(debug) << "   AfterExtrap: X = " << track.getX() << " Y = " << track.getY() << " Z = " << track.getZ() << " Tgl = " << track.getTanl() << "  Phi = " << track.getPhi() << " pz = " << track.getPz() << " q/pt = " << track.getInvQPt();
  LOG(debug) << "Track covariances after extrap:" << std::endl
             << track.getCovariances() << std::endl;
 
  // recompute parameters
  const std::array<float, 2>& pos = {clx, cly};
  const std::array<float, 2>& cov = {sigmaX2, sigmaY2};
 
  if (track.update(pos, cov)) {
    LOG(debug) << "   New Cluster: X = " << clx << " Y = " << cly << " Z = " << clz;
    LOG(debug) << "   AfterKalman: X = " << track.getX() << " Y = " << track.getY() << " Z = " << track.getZ() << " Tgl = " << track.getTanl() << "  Phi = " << track.getPhi() << " pz = " << track.getPz() << " q/pt = " << track.getInvQPt();
 
    LOG(debug) << "Track covariances after Kalman update: \n"
               << track.getCovariances() << std::endl;
 
    return true;
  }
  return false;
}
 
//_________________________________________________________
void MatchGlobalFwd::setMFTROFrameLengthMUS(float fums)
{
  mMFTROFrameLengthMUS = fums;
  mMFTROFrameLengthMUSInv = 1. / mMFTROFrameLengthMUS;
  mMFTROFrameLengthInBC = std::max(1, int(mMFTROFrameLengthMUS / (o2::constants::lhc::LHCBunchSpacingNS * 1e-3)));
}
 
//_________________________________________________________
void MatchGlobalFwd::setMFTROFrameLengthInBC(int nbc)
{
  mMFTROFrameLengthInBC = nbc;
  mMFTROFrameLengthMUS = nbc * o2::constants::lhc::LHCBunchSpacingNS * 1e-3;
  mMFTROFrameLengthMUSInv = 1. / mMFTROFrameLengthMUS;
}
 
//_________________________________________________________
void MatchGlobalFwd::setMFTROFrameBiasInBC(int nbc)
{
  mMFTROFrameBiasInBC = nbc;
  mMFTROFrameBiasMUS = nbc * o2::constants::lhc::LHCBunchSpacingNS * 1e-3;
  mMFTROFrameBiasMUSInv = 1. / mMFTROFrameBiasMUS;
}
 
//_________________________________________________________
void MatchGlobalFwd::setBunchFilling(const o2::BunchFilling& bf)
{
  mBunchFilling = bf;
  // find closest (from above) filled bunch
  int minBC = bf.getFirstFilledBC(), maxBC = bf.getLastFilledBC();
  if (minBC < 0) {
    LOG(error) << "Empty bunch filling is provided to MatchGlobalFwd, checks using it should be ignored";
    return;
  }
  int bcAbove = minBC;
  for (int i = o2::constants::lhc::LHCMaxBunches; i--;) {
    if (bf.testBC(i)) {
      bcAbove = i;
    }
    mClosestBunchAbove[i] = bcAbove;
  }
  int bcBelow = maxBC;
  for (int i = 0; i < o2::constants::lhc::LHCMaxBunches; i++) {
    if (bf.testBC(i)) {
      bcBelow = i;
    }
    mClosestBunchBelow[i] = bcBelow;
  }
}
 
//_________________________________________________________________________________________________
o2::dataformats::GlobalFwdTrack MatchGlobalFwd::MCHtoFwd(const o2::mch::TrackParam& mchParam)
{
  // Convert a MCH Track parameters and covariances matrix to the
  // Forward track format. Must be called after propagation though the absorber
 
  o2::dataformats::GlobalFwdTrack convertedTrack;
 
  // Parameter conversion
  double alpha1, alpha3, alpha4, x2, x3, x4;
 
  alpha1 = mchParam.getNonBendingSlope();
  alpha3 = mchParam.getBendingSlope();
  alpha4 = mchParam.getInverseBendingMomentum();
 
  x2 = TMath::ATan2(-alpha3, -alpha1);
  x3 = -1. / TMath::Sqrt(alpha3 * alpha3 + alpha1 * alpha1);
  x4 = alpha4 * -x3 * TMath::Sqrt(1 + alpha3 * alpha3);
 
  auto K = alpha1 * alpha1 + alpha3 * alpha3;
  auto K32 = K * TMath::Sqrt(K);
  auto L = TMath::Sqrt(alpha3 * alpha3 + 1);
 
  // Covariances matrix conversion
  SMatrix55Std jacobian;
  SMatrix55Sym covariances;
 
  if (0) {
 
    std::cout << " MCHtoGlobal - MCH Covariances:\n";
    std::cout << " mchParam.getCovariances()(0, 0) =  "
              << mchParam.getCovariances()(0, 0)
              << " ; mchParam.getCovariances()(2, 2) = "
              << mchParam.getCovariances()(2, 2) << std::endl;
  }
  covariances(0, 0) = mchParam.getCovariances()(0, 0);
  covariances(0, 1) = mchParam.getCovariances()(0, 1);
  covariances(0, 2) = mchParam.getCovariances()(0, 2);
  covariances(0, 3) = mchParam.getCovariances()(0, 3);
  covariances(0, 4) = mchParam.getCovariances()(0, 4);
 
  covariances(1, 1) = mchParam.getCovariances()(1, 1);
  covariances(1, 2) = mchParam.getCovariances()(1, 2);
  covariances(1, 3) = mchParam.getCovariances()(1, 3);
  covariances(1, 4) = mchParam.getCovariances()(1, 4);
 
  covariances(2, 2) = mchParam.getCovariances()(2, 2);
  covariances(2, 3) = mchParam.getCovariances()(2, 3);
  covariances(2, 4) = mchParam.getCovariances()(2, 4);
 
  covariances(3, 3) = mchParam.getCovariances()(3, 3);
  covariances(3, 4) = mchParam.getCovariances()(3, 4);
 
  covariances(4, 4) = mchParam.getCovariances()(4, 4);
 
  jacobian(0, 0) = 1;
 
  jacobian(1, 2) = 1;
 
  jacobian(2, 1) = -alpha3 / K;
  jacobian(2, 3) = alpha1 / K;
 
  jacobian(3, 1) = alpha1 / K32;
  jacobian(3, 3) = alpha3 / K32;
 
  jacobian(4, 1) = -alpha1 * alpha4 * L / K32;
  jacobian(4, 3) = alpha3 * alpha4 * (1 / (TMath::Sqrt(K) * L) - L / K32);
  jacobian(4, 4) = L / TMath::Sqrt(K);
 
  // jacobian*covariances*jacobian^T
  covariances = ROOT::Math::Similarity(jacobian, covariances);
 
  // Set output
  convertedTrack.setX(mchParam.getNonBendingCoor());
  convertedTrack.setY(mchParam.getBendingCoor());
  convertedTrack.setZ(mchParam.getZ());
  convertedTrack.setPhi(x2);
  convertedTrack.setTanl(x3);
  convertedTrack.setInvQPt(x4);
  convertedTrack.setCharge(mchParam.getCharge());
  convertedTrack.setCovariances(covariances);
 
  return convertedTrack;
}
 
//_________________________________________________________________________________________________
o2::mch::TrackParam MatchGlobalFwd::FwdtoMCH(const o2::dataformats::GlobalFwdTrack& fwdtrack)
{
  // Convert Forward Track parameters and covariances matrix to the
  // MCH track format.
 
  // Parameter conversion
  double alpha1, alpha3, alpha4, x2, x3, x4;
 
  x2 = fwdtrack.getPhi();
  x3 = fwdtrack.getTanl();
  x4 = fwdtrack.getInvQPt();
 
  auto sinx2 = TMath::Sin(x2);
  auto cosx2 = TMath::Cos(x2);
 
  alpha1 = cosx2 / x3;
  alpha3 = sinx2 / x3;
  alpha4 = x4 / TMath::Sqrt(x3 * x3 + sinx2 * sinx2);
 
  auto K = TMath::Sqrt(x3 * x3 + sinx2 * sinx2);
  auto K3 = K * K * K;
 
  // Covariances matrix conversion
  SMatrix55Std jacobian;
  SMatrix55Sym covariances;
 
  covariances(0, 0) = fwdtrack.getCovariances()(0, 0);
  covariances(0, 1) = fwdtrack.getCovariances()(0, 1);
  covariances(0, 2) = fwdtrack.getCovariances()(0, 2);
  covariances(0, 3) = fwdtrack.getCovariances()(0, 3);
  covariances(0, 4) = fwdtrack.getCovariances()(0, 4);
 
  covariances(1, 1) = fwdtrack.getCovariances()(1, 1);
  covariances(1, 2) = fwdtrack.getCovariances()(1, 2);
  covariances(1, 3) = fwdtrack.getCovariances()(1, 3);
  covariances(1, 4) = fwdtrack.getCovariances()(1, 4);
 
  covariances(2, 2) = fwdtrack.getCovariances()(2, 2);
  covariances(2, 3) = fwdtrack.getCovariances()(2, 3);
  covariances(2, 4) = fwdtrack.getCovariances()(2, 4);
 
  covariances(3, 3) = fwdtrack.getCovariances()(3, 3);
  covariances(3, 4) = fwdtrack.getCovariances()(3, 4);
 
  covariances(4, 4) = fwdtrack.getCovariances()(4, 4);
 
  jacobian(0, 0) = 1;
 
  jacobian(1, 2) = -sinx2 / x3;
  jacobian(1, 3) = -cosx2 / (x3 * x3);
 
  jacobian(2, 1) = 1;
 
  jacobian(3, 2) = cosx2 / x3;
  jacobian(3, 3) = -sinx2 / (x3 * x3);
 
  jacobian(4, 2) = -x4 * sinx2 * cosx2 / K3;
  jacobian(4, 3) = -x3 * x4 / K3;
  jacobian(4, 4) = 1 / K;
  // jacobian*covariances*jacobian^T
  covariances = ROOT::Math::Similarity(jacobian, covariances);
 
  double cov[] = {covariances(0, 0), covariances(1, 0), covariances(1, 1), covariances(2, 0), covariances(2, 1), covariances(2, 2), covariances(3, 0), covariances(3, 1), covariances(3, 2), covariances(3, 3), covariances(4, 0), covariances(4, 1), covariances(4, 2), covariances(4, 3), covariances(4, 4)};
  double param[] = {fwdtrack.getX(), alpha1, fwdtrack.getY(), alpha3, alpha4};
 
  o2::mch::TrackParam convertedTrack(fwdtrack.getZ(), param, cov);
  return o2::mch::TrackParam(convertedTrack);
}
 
//_________________________________________________________________________________________________
MatchGlobalFwd::MatchGlobalFwd()
{
  mClosestBunchAbove[0] = mClosestBunchAbove[0] = -1;
 
  // Define built-in matching functions
  //________________________________________________________________________________
  mMatchingFunctionMap["matchALL"] = [](const GlobalFwdTrack& mchTrack, const TrackParCovFwd& mftTrack) -> double {
    // Match two tracks evaluating all parameters: X,Y, phi, tanl & q/pt
 
    SMatrix55Sym I = ROOT::Math::SMatrixIdentity(), H_k, V_k;
    SVector5 m_k(mftTrack.getX(), mftTrack.getY(), mftTrack.getPhi(),
                 mftTrack.getTanl(), mftTrack.getInvQPt()),
      r_k_kminus1;
    SVector5 GlobalMuonTrackParameters = mchTrack.getParameters();
    SMatrix55Sym GlobalMuonTrackCovariances = mchTrack.getCovariances();
    V_k(0, 0) = mftTrack.getCovariances()(0, 0);
    V_k(1, 1) = mftTrack.getCovariances()(1, 1);
    V_k(2, 2) = mftTrack.getCovariances()(2, 2);
    V_k(3, 3) = mftTrack.getCovariances()(3, 3);
    V_k(4, 4) = mftTrack.getCovariances()(4, 4);
    H_k(0, 0) = 1.0;
    H_k(1, 1) = 1.0;
    H_k(2, 2) = 1.0;
    H_k(3, 3) = 1.0;
    H_k(4, 4) = 1.0;
 
    // Covariance of residuals
    SMatrix55Std invResCov = (V_k + ROOT::Math::Similarity(H_k, GlobalMuonTrackCovariances));
    invResCov.Invert();
 
    // Kalman Gain Matrix
    SMatrix55Std K_k = GlobalMuonTrackCovariances * ROOT::Math::Transpose(H_k) * invResCov;
 
    // Update Parameters
    r_k_kminus1 = m_k - H_k * GlobalMuonTrackParameters; // Residuals of prediction
 
    auto matchChi2Track = ROOT::Math::Similarity(r_k_kminus1, invResCov);
 
    return matchChi2Track;
  };
 
  //________________________________________________________________________________
  mMatchingFunctionMap["matchsXYPhiTanl"] = [](const GlobalFwdTrack& mchTrack, const TrackParCovFwd& mftTrack) -> double {
 
  // Match two tracks evaluating positions & angles
 
  SMatrix55Sym I = ROOT::Math::SMatrixIdentity();
  SMatrix45 H_k;
  SMatrix44 V_k;
  SVector4 m_k(mftTrack.getX(), mftTrack.getY(), mftTrack.getPhi(),
               mftTrack.getTanl()),
    r_k_kminus1;
  SVector5 GlobalMuonTrackParameters = mchTrack.getParameters();
  SMatrix55Sym GlobalMuonTrackCovariances = mchTrack.getCovariances();
  V_k(0, 0) = mftTrack.getCovariances()(0, 0);
  V_k(1, 1) = mftTrack.getCovariances()(1, 1);
  V_k(2, 2) = mftTrack.getCovariances()(2, 2);
  V_k(3, 3) = mftTrack.getCovariances()(3, 3);
  H_k(0, 0) = 1.0;
  H_k(1, 1) = 1.0;
  H_k(2, 2) = 1.0;
  H_k(3, 3) = 1.0;
 
  // Covariance of residuals
  SMatrix44 invResCov = (V_k + ROOT::Math::Similarity(H_k, GlobalMuonTrackCovariances));
  invResCov.Invert();
 
  // Kalman Gain Matrix
  SMatrix54 K_k = GlobalMuonTrackCovariances * ROOT::Math::Transpose(H_k) * invResCov;
 
  // Residuals of prediction
  r_k_kminus1 = m_k - H_k * GlobalMuonTrackParameters;
 
  auto matchChi2Track = ROOT::Math::Similarity(r_k_kminus1, invResCov);
 
  return matchChi2Track; };
 
  //________________________________________________________________________________
  mMatchingFunctionMap["matchXY"] = [](const GlobalFwdTrack& mchTrack, const TrackParCovFwd& mftTrack) -> double {
 
  // Calculate Matching Chi2 - X and Y positions
 
  SMatrix55Sym I = ROOT::Math::SMatrixIdentity();
  SMatrix25 H_k;
  SMatrix22 V_k;
  SVector2 m_k(mftTrack.getX(), mftTrack.getY()), r_k_kminus1;
  SVector5 GlobalMuonTrackParameters = mchTrack.getParameters();
  SMatrix55Sym GlobalMuonTrackCovariances = mchTrack.getCovariances();
  V_k(0, 0) = mftTrack.getCovariances()(0, 0);
  V_k(1, 1) = mftTrack.getCovariances()(1, 1);
  H_k(0, 0) = 1.0;
  H_k(1, 1) = 1.0;
 
  // Covariance of residuals
  SMatrix22 invResCov = (V_k + ROOT::Math::Similarity(H_k, GlobalMuonTrackCovariances));
  invResCov.Invert();
 
  // Kalman Gain Matrix
  SMatrix52 K_k = GlobalMuonTrackCovariances * ROOT::Math::Transpose(H_k) * invResCov;
 
  // Residuals of prediction
  r_k_kminus1 = m_k - H_k * GlobalMuonTrackParameters;
  auto matchChi2Track = ROOT::Math::Similarity(r_k_kminus1, invResCov);
 
  return matchChi2Track; };
 
  //________________________________________________________________________________
  mMatchingFunctionMap["matchNeedsName"] = [this](const GlobalFwdTrack& mchTrack, const TrackParCovFwd& mftTrack) -> double {
 
  //Hiroshima's Matching function needs a physics-based name
 
  //Matching constants
  Double_t LAbs = 415.;    //Absorber Length[cm]
  Double_t mumass = 0.106; //mass of muon [GeV/c^2]
  Double_t l;              //the length that extrapolated MCHtrack passes through absorber
 
  if (mMatchingPlaneZ >= -90.0) {
    l = LAbs;
  } else {
    l = 505.0 + mMatchingPlaneZ;
  }
 
  //defference between MFTtrack and MCHtrack
 
  auto dx = mftTrack.getX() - mchTrack.getX();
  auto dy = mftTrack.getY() - mchTrack.getY();
  auto dthetax = TMath::ATan(mftTrack.getPx() / TMath::Abs(mftTrack.getPz())) - TMath::ATan(mchTrack.getPx() / TMath::Abs(mchTrack.getPz()));
  auto dthetay = TMath::ATan(mftTrack.getPy() / TMath::Abs(mftTrack.getPz())) - TMath::ATan(mchTrack.getPy() / TMath::Abs(mchTrack.getPz()));
 
  //Multiple Scattering(=MS)
 
  auto pMCH = mchTrack.getP();
  auto lorentzbeta = pMCH / TMath::Sqrt(mumass * mumass + pMCH * pMCH);
  auto zMS = copysign(1.0, mchTrack.getCharge());
  auto thetaMS = 13.6 / (1000.0 * pMCH * lorentzbeta * 1.0) * zMS * TMath::Sqrt(60.0 * l / LAbs) * (1.0 + 0.038 * TMath::Log(60.0 * l / LAbs));
  auto xMS = thetaMS * l / TMath::Sqrt(3.0);
 
  //normalize by theoritical Multiple Coulomb Scattering width to be momentum-independent
  //make the dx and dtheta dimensionless
 
  auto dxnorm = dx / xMS;
  auto dynorm = dy / xMS;
  auto dthetaxnorm = dthetax / thetaMS;
  auto dthetaynorm = dthetay / thetaMS;
 
  //rotate distribution
 
  auto dxrot = dxnorm * TMath::Cos(TMath::Pi() / 4.0) - dthetaxnorm * TMath::Sin(TMath::Pi() / 4.0);
  auto dthetaxrot = dxnorm * TMath::Sin(TMath::Pi() / 4.0) + dthetaxnorm * TMath::Cos(TMath::Pi() / 4.0);
  auto dyrot = dynorm * TMath::Cos(TMath::Pi() / 4.0) - dthetaynorm * TMath::Sin(TMath::Pi() / 4.0);
  auto dthetayrot = dynorm * TMath::Sin(TMath::Pi() / 4.0) + dthetaynorm * TMath::Cos(TMath::Pi() / 4.0);
 
  //convert ellipse to circle
 
  auto k = 0.7; //need to optimize!!
  auto dxcircle = dxrot;
  auto dycircle = dyrot;
  auto dthetaxcircle = dthetaxrot / k;
  auto dthetaycircle = dthetayrot / k;
 
  //score
 
  auto scoreX = TMath::Sqrt(dxcircle * dxcircle + dthetaxcircle * dthetaxcircle);
  auto scoreY = TMath::Sqrt(dycircle * dycircle + dthetaycircle * dthetaycircle);
  auto score = TMath::Sqrt(scoreX * scoreX + scoreY * scoreY);
 
  return score; };
 
  // Define built-in candidate cut functions
 
  //________________________________________________________________________________
  mCutFunctionMap["cutDisabled"] = [](const GlobalFwdTrack& mchTrack, const TrackParCovFwd& mftTrack) -> bool {
    return true;
  };
 
  //________________________________________________________________________________
  mCutFunctionMap["cut3Sigma"] = [](const GlobalFwdTrack& mchTrack, const TrackParCovFwd& mftTrack) -> bool {
    auto dx = mchTrack.getX() - mftTrack.getX();
    auto dy = mchTrack.getY() - mftTrack.getY();
    auto dPhi = mchTrack.getPhi() - mftTrack.getPhi();
    auto dTanl = TMath::Abs(mchTrack.getTanl() - mftTrack.getTanl());
    auto dInvQPt = TMath::Abs(mchTrack.getInvQPt() - mftTrack.getInvQPt());
    auto distanceSq = dx * dx + dy * dy;
    auto cutDistanceSq = 9 * (mchTrack.getSigma2X() + mchTrack.getSigma2Y());
    auto cutPhiSq = 9 * (mchTrack.getSigma2Phi() + mftTrack.getSigma2Phi());
    auto cutTanlSq = 9 * (mchTrack.getSigma2Tanl() + mftTrack.getSigma2Tanl());
    auto cutInvQPtSq = 9 * (mchTrack.getSigma2InvQPt() + mftTrack.getSigma2InvQPt());
    return (distanceSq < cutDistanceSq) and (dPhi * dPhi < cutPhiSq) and (dTanl * dTanl < cutTanlSq) and (dInvQPt * dInvQPt < cutInvQPtSq);
  };
 
  //________________________________________________________________________________
  mCutFunctionMap["cut3SigmaXYAngles"] = [](const GlobalFwdTrack& mchTrack, const TrackParCovFwd& mftTrack) -> bool {
    auto dx = mchTrack.getX() - mftTrack.getX();
    auto dy = mchTrack.getY() - mftTrack.getY();
    auto dPhi = mchTrack.getPhi() - mftTrack.getPhi();
    auto dTanl = TMath::Abs(mchTrack.getTanl() - mftTrack.getTanl());
    auto distanceSq = dx * dx + dy * dy;
    auto cutDistanceSq = 9 * (mchTrack.getSigma2X() + mchTrack.getSigma2Y());
    auto cutPhiSq = 9 * (mchTrack.getSigma2Phi() + mftTrack.getSigma2Phi());
    auto cutTanlSq = 9 * (mchTrack.getSigma2Tanl() + mftTrack.getSigma2Tanl());
    return (distanceSq < cutDistanceSq) and (dPhi * dPhi < cutPhiSq) and (dTanl * dTanl < cutTanlSq);
  };
}