PatternRecognitionbyCLUE3D.h

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// Author: Marco Rovere - marco.rovere@cern.ch
// Date: 04/2021

#ifndef __RecoHGCal_TICL_PRbyCLUE3D_H__
#define __RecoHGCal_TICL_PRbyCLUE3D_H__
#include <memory>  // unique_ptr
#include "RecoHGCal/TICL/interface/PatternRecognitionAlgoBase.h"
#include "RecoLocalCalo/HGCalRecAlgos/interface/RecHitTools.h"

namespace ticl {
  template <typename TILES>
  class PatternRecognitionbyCLUE3D final : public PatternRecognitionAlgoBaseT<TILES> {
  public:
    PatternRecognitionbyCLUE3D(const edm::ParameterSet& conf, const CacheBase* cache, edm::ConsumesCollector);
    ~PatternRecognitionbyCLUE3D() override = default;

    void makeTracksters(const typename PatternRecognitionAlgoBaseT<TILES>::Inputs& input,
                        std::vector<Trackster>& result,
                        std::unordered_map<int, std::vector<int>>& seedToTracksterAssociation) override;

    void energyRegressionAndID(const std::vector<reco::CaloCluster>& layerClusters, std::vector<Trackster>& result);

    static void fillPSetDescription(edm::ParameterSetDescription& iDesc);

  private:
    struct ClustersOnLayer {
      std::vector<float> x;
      std::vector<float> y;
      std::vector<float> radius;
      std::vector<float> eta;
      std::vector<float> phi;
      std::vector<int> cells;

      std::vector<float> energy;
      std::vector<float> rho;

      std::vector<float> delta;
      std::vector<std::pair<int, int>> nearestHigher;
      std::vector<int> clusterIndex;
      std::vector<unsigned int> layerClusterOriginalIdx;
      std::vector<std::vector<std::pair<int, int>>> followers;
      std::vector<bool> isSeed;

      void clear() {
        x.clear();
        y.clear();
        radius.clear();
        eta.clear();
        phi.clear();
        cells.clear();
        energy.clear();
        rho.clear();
        delta.clear();
        nearestHigher.clear();
        clusterIndex.clear();
        layerClusterOriginalIdx.clear();
        followers.clear();
        isSeed.clear();
      }

      void shrink_to_fit() {
        x.shrink_to_fit();
        y.shrink_to_fit();
        radius.shrink_to_fit();
        eta.shrink_to_fit();
        phi.shrink_to_fit();
        cells.shrink_to_fit();
        energy.shrink_to_fit();
        rho.shrink_to_fit();
        delta.shrink_to_fit();
        nearestHigher.shrink_to_fit();
        clusterIndex.shrink_to_fit();
        layerClusterOriginalIdx.shrink_to_fit();
        followers.shrink_to_fit();
        isSeed.shrink_to_fit();
      }
    };

    void reset() {
      for (auto& c : clusters_) {
        c.clear();
        c.shrink_to_fit();
      }
    }
    void calculateLocalDensity(const TILES&, const unsigned int layerId, const std::vector<std::pair<int, int>>&);
    void calculateDistanceToHigher(const TILES&, const unsigned int layerId, const std::vector<std::pair<int, int>>&);
    int findAndAssignTracksters(const TILES&, const std::vector<std::pair<int, int>>&);
    void dumpClusters(const std::vector<std::pair<int, int>>& layerIdx2layerandSoa, const int) const;
    void dumpTracksters(const std::vector<std::pair<int, int>>& layerIdx2layerandSoa,
                        const int,
                        const std::vector<Trackster>&) const;
    void dumpTiles(const TILES&) const;

    std::vector<ClustersOnLayer> clusters_;

    edm::ESGetToken<CaloGeometry, CaloGeometryRecord> caloGeomToken_;
    const double criticalDensity_;
    const int densitySiblingLayers_;
    const double densityEtaPhiDistanceSqr_;
    const double densityOnSameLayer_;
    const double criticalEtaPhiDistance_;
    const double outlierMultiplier_;
    const int minNumLayerCluster_;
    const std::vector<int> filter_on_categories_;
    const std::string eidInputName_;
    const std::string eidOutputNameEnergy_;
    const std::string eidOutputNameId_;
    const float eidMinClusterEnergy_;
    const int eidNLayers_;
    const int eidNClusters_;

    hgcal::RecHitTools rhtools_;
    tensorflow::Session* eidSession_;

    static const int eidNFeatures_ = 3;
  };

}  // namespace ticl
#endif