TimeFrame.cxx

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// 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 "TRKReconstruction/TimeFrame.h"
#include "TRKSimulation/Hit.h"
#include "TRKBase/GeometryTGeo.h"
#include "Framework/Logger.h"
#include "SimulationDataFormat/MCEventHeader.h"
#include <TTree.h>
#include <TRandom3.h>
#include <vector>
#include <array>
 
namespace o2::trk
{
 
template <int nLayers>
int TimeFrame<nLayers>::loadROFsFromHitTree(TTree* hitsTree, GeometryTGeo* gman, const nlohmann::json& config)
{
  constexpr std::array<int, 2> startLayer{0, 3};
  const Long64_t nEvents = hitsTree->GetEntries();
 
  gman->fillMatrixCache(o2::math_utils::bit2Mask(o2::math_utils::TransformType::T2L) | o2::math_utils::bit2Mask(o2::math_utils::TransformType::L2G));
 
  std::vector<o2::trk::Hit>* trkHit = nullptr;
  hitsTree->SetBranchAddress("TRKHit", &trkHit);
 
  const int inROFpileup{config.contains("inROFpileup") ? config["inROFpileup"].get<int>() : 1};
 
  // Calculate number of ROFs and initialize data structures
  this->mNrof = (nEvents + inROFpileup - 1) / inROFpileup;
 
  // Reset and prepare ROF data structures
  for (int iLayer{0}; iLayer < nLayers; ++iLayer) {
    this->mMinR[iLayer] = std::numeric_limits<float>::max();
    this->mMaxR[iLayer] = std::numeric_limits<float>::lowest();
    this->mROFramesClusters[iLayer].clear();
    this->mROFramesClusters[iLayer].resize(this->mNrof + 1, 0);
    this->mUnsortedClusters[iLayer].clear();
    this->mTrackingFrameInfo[iLayer].clear();
    this->mClusterExternalIndices[iLayer].clear();
  }
 
  // Pre-count hits to reserve memory efficiently
  int totalNHits{0};
  std::array<int, nLayers> clusterCountPerLayer{};
  for (Long64_t iEvent = 0; iEvent < nEvents; ++iEvent) {
    hitsTree->GetEntry(iEvent);
    for (const auto& hit : *trkHit) {
      if (gman->getDisk(hit.GetDetectorID()) != -1) {
        continue; // skip non-barrel hits
      }
      int subDetID = gman->getSubDetID(hit.GetDetectorID());
      const int layer = startLayer[subDetID] + gman->getLayer(hit.GetDetectorID());
      if (layer >= nLayers) {
        continue;
      }
      ++clusterCountPerLayer[layer];
      totalNHits++;
    }
  }
 
  // Reserve memory for all layers
  for (int iLayer{0}; iLayer < nLayers; ++iLayer) {
    this->mUnsortedClusters[iLayer].reserve(clusterCountPerLayer[iLayer]);
    this->mTrackingFrameInfo[iLayer].reserve(clusterCountPerLayer[iLayer]);
    this->mClusterExternalIndices[iLayer].reserve(clusterCountPerLayer[iLayer]);
  }
  clearResizeBoundedVector(this->mClusterSize, totalNHits, this->mMemoryPool.get());
 
  std::array<float, 11> resolution{0.001, 0.001, 0.001, 0.001, 0.004, 0.004, 0.004, 0.004, 0.004, 0.004, 0.004};
  if (config["geometry"]["pitch"].size() == nLayers) {
    for (int iLayer{0}; iLayer < config["geometry"]["pitch"].size(); ++iLayer) {
      LOGP(info, "Setting resolution for layer {} from config", iLayer);
      LOGP(info, "Layer {} pitch {} cm", iLayer, config["geometry"]["pitch"][iLayer].get<float>());
      resolution[iLayer] = config["geometry"]["pitch"][iLayer].get<float>() / std::sqrt(12.f);
    }
  }
  LOGP(info, "Number of active parts in VD: {}", gman->getNumberOfActivePartsVD());
 
  int hitCounter{0};
  auto labels = new dataformats::MCTruthContainer<MCCompLabel>();
 
  int iRof{0}; // Current ROF index
  for (Long64_t iEvent = 0; iEvent < nEvents; ++iEvent) {
    hitsTree->GetEntry(iEvent);
 
    for (auto& hit : *trkHit) {
      if (gman->getDisk(hit.GetDetectorID()) != -1) {
        continue; // skip non-barrel hits for this test
      }
      int subDetID = gman->getSubDetID(hit.GetDetectorID());
      const int layer = startLayer[subDetID] + gman->getLayer(hit.GetDetectorID());
 
      float alpha{0.f};
      o2::math_utils::Point3D<float> gloXYZ;
      o2::math_utils::Point3D<float> trkXYZ;
      float r{0.f};
      if (layer >= nLayers) {
        continue;
      }
      if (layer >= 3) {
        int chipID = hit.GetDetectorID();
        alpha = gman->getSensorRefAlphaMLOT(chipID);
        const o2::math_utils::Transform3D& l2g = gman->getMatrixL2G(chipID);
        auto locXYZ = l2g ^ (hit.GetPos());
        locXYZ.SetX(locXYZ.X() + gRandom->Gaus(0.0, resolution[layer]));
        locXYZ.SetZ(locXYZ.Z() + gRandom->Gaus(0.0, resolution[layer]));
        gloXYZ = gman->getMatrixL2G(chipID) * locXYZ;
        trkXYZ = gman->getMatrixT2L(chipID - gman->getNumberOfActivePartsVD()) ^ locXYZ;
        r = std::hypot(gloXYZ.X(), gloXYZ.Y());
      } else {
        const auto& hitPos = hit.GetPos();
        r = std::hypot(hitPos.X(), hitPos.Y());
        alpha = std::atan2(hitPos.Y(), hitPos.X()) + gRandom->Gaus(0.0, resolution[layer] / r);
        o2::math_utils::bringTo02Pi(alpha);
        gloXYZ.SetX(r * std::cos(alpha));
        gloXYZ.SetY(r * std::sin(alpha));
        gloXYZ.SetZ(hitPos.Z() + gRandom->Gaus(0.0, resolution[layer]));
        trkXYZ.SetX(r);
        trkXYZ.SetY(0.f);
        trkXYZ.SetZ(gloXYZ.Z());
      }
      this->mMinR[layer] = std::min(this->mMinR[layer], r);
      this->mMaxR[layer] = std::max(this->mMaxR[layer], r);
      this->addTrackingFrameInfoToLayer(layer, gloXYZ.x(), gloXYZ.y(), gloXYZ.z(), trkXYZ.x(), alpha,
                                        std::array<float, 2>{trkXYZ.y(), trkXYZ.z()},
                                        std::array<float, 3>{resolution[layer] * resolution[layer], 0., resolution[layer] * resolution[layer]});
      this->addClusterToLayer(layer, gloXYZ.x(), gloXYZ.y(), gloXYZ.z(), this->mUnsortedClusters[layer].size());
      this->addClusterExternalIndexToLayer(layer, hitCounter);
      MCCompLabel label{hit.GetTrackID(), static_cast<int>(iEvent), 0};
      labels->addElement(hitCounter, label);
      this->mClusterSize[hitCounter] = 1; // For compatibility with cluster-based tracking, set cluster size to 1 for hits
      hitCounter++;
    }
    trkHit->clear();
 
    // Update ROF structure when we complete an ROF or reach the last event
    if ((iEvent + 1) % inROFpileup == 0 || iEvent == nEvents - 1) {
      iRof++;
      for (unsigned int iLayer{0}; iLayer < this->mUnsortedClusters.size(); ++iLayer) {
        this->mROFramesClusters[iLayer][iRof] = this->mUnsortedClusters[iLayer].size(); // effectively calculating an exclusive sum
      }
      // Update primary vertices ROF structure
    }
    this->mClusterLabels = labels;
  }
  return this->mNrof;
}
 
template <int nLayers>
void TimeFrame<nLayers>::getPrimaryVerticesFromMC(TTree* mcHeaderTree, int nRofs, Long64_t nEvents, int inROFpileup)
{
  auto mcheader = new o2::dataformats::MCEventHeader;
  mcHeaderTree->SetBranchAddress("MCEventHeader.", &mcheader);
 
  this->mROFramesPV.clear();
  this->mROFramesPV.resize(nRofs + 1, 0);
  this->mPrimaryVertices.clear();
 
  int iRof{0};
  for (Long64_t iEvent = 0; iEvent < nEvents; ++iEvent) {
    mcHeaderTree->GetEntry(iEvent);
    o2::its::Vertex vertex;
    vertex.setXYZ(mcheader->GetX(), mcheader->GetY(), mcheader->GetZ());
    vertex.setNContributors(30);
    vertex.setChi2(0.f);
    LOGP(debug, "ROF {}: Added primary vertex at ({}, {}, {})", iRof, mcheader->GetX(), mcheader->GetY(), mcheader->GetZ());
    this->mPrimaryVertices.push_back(vertex);
    if ((iEvent + 1) % inROFpileup == 0 || iEvent == nEvents - 1) {
      iRof++;
      this->mROFramesPV[iRof] = this->mPrimaryVertices.size(); // effectively calculating an exclusive sum
    }
  }
  this->mMultiplicityCutMask.resize(nRofs, true); 
}
 
// Explicit template instantiation for TRK with 11 layers
template class TimeFrame<11>;
 
} // namespace o2::trk