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File indexing completed on 2022-08-30 22:38:44

0001 // Author: Felice Pantaleo - felice.pantaleo@cern.ch
0002 // Date: 09/2018
0003 
0004 #ifndef DataFormats_HGCalReco_Trackster_h
0005 #define DataFormats_HGCalReco_Trackster_h
0006 
0007 #include <array>
0008 #include <vector>
0009 #include "DataFormats/Provenance/interface/ProductID.h"
0010 #include "DataFormats/Math/interface/Vector3D.h"
0011 
0012 #include <Eigen/Core>
0013 
0014 // A Trackster is a Direct Acyclic Graph created when
0015 // pattern recognition algorithms connect hits or
0016 // layer clusters together in a 3D object.
0017 
0018 namespace ticl {
0019   class Trackster {
0020   public:
0021     typedef math::XYZVector Vector;
0022 
0023     enum IterationIndex { TRKEM = 0, EM, TRKHAD, HAD, MIP, SIM, SIM_CP };
0024 
0025     // types considered by the particle identification
0026     enum class ParticleType {
0027       photon = 0,
0028       electron,
0029       muon,
0030       neutral_pion,
0031       charged_hadron,
0032       neutral_hadron,
0033       ambiguous,
0034       unknown,
0035     };
0036 
0037     enum class PCAOrdering { ascending = 0, descending };
0038 
0039     Trackster()
0040         : iterationIndex_(0),
0041           seedIndex_(-1),
0042           time_(0.f),
0043           timeError_(-1.f),
0044           regressed_energy_(0.f),
0045           raw_energy_(0.f),
0046           raw_em_energy_(0.f),
0047           raw_pt_(0.f),
0048           raw_em_pt_(0.f),
0049           barycenter_({0., 0., 0.}),
0050           eigenvalues_{{0.f, 0.f, 0.f}},
0051           sigmas_{{0.f, 0.f, 0.f}},
0052           sigmasPCA_{{0.f, 0.f, 0.f}} {
0053       zeroProbabilities();
0054     }
0055 
0056     inline void setIteration(const Trackster::IterationIndex i) { iterationIndex_ = i; }
0057     std::vector<unsigned int> &vertices() { return vertices_; }
0058     std::vector<float> &vertex_multiplicity() { return vertex_multiplicity_; }
0059     std::vector<std::array<unsigned int, 2> > &edges() { return edges_; }
0060     inline void setSeed(edm::ProductID pid, int index) {
0061       seedID_ = pid;
0062       seedIndex_ = index;
0063     }
0064     inline void setTimeAndError(float t, float tError) {
0065       time_ = t;
0066       timeError_ = tError;
0067     }
0068     inline void setRegressedEnergy(float value) { regressed_energy_ = value; }
0069     inline void setRawEnergy(float value) { raw_energy_ = value; }
0070     inline void addToRawEnergy(float value) { raw_energy_ += value; }
0071     inline void setRawEmEnergy(float value) { raw_em_energy_ = value; }
0072     inline void addToRawEmEnergy(float value) { raw_em_energy_ += value; }
0073     inline void setRawPt(float value) { raw_pt_ = value; }
0074     inline void setRawEmPt(float value) { raw_em_pt_ = value; }
0075     inline void setBarycenter(Vector value) { barycenter_ = value; }
0076     inline void fillPCAVariables(Eigen::Vector3d &eigenvalues,
0077                                  Eigen::Matrix3d &eigenvectors,
0078                                  Eigen::Vector3d &sigmas,
0079                                  Eigen::Vector3d &sigmasEigen,
0080                                  size_t pcadimension,
0081                                  PCAOrdering order) {
0082       int original_index = 0;
0083       for (size_t i = 0; i < pcadimension; ++i) {
0084         sigmas_[i] = std::sqrt(sigmas[i]);
0085         // Reverse the order, since Eigen gives back the eigevalues in
0086         // **increasing order** while we store them in **descreasing order**.
0087         original_index = i;
0088         if (order == PCAOrdering::ascending)
0089           original_index = pcadimension - i - 1;
0090         eigenvalues_[i] = (float)eigenvalues[original_index];
0091         eigenvectors_[i] = ticl::Trackster::Vector(
0092             eigenvectors(0, original_index), eigenvectors(1, original_index), eigenvectors(2, original_index));
0093         sigmasPCA_[i] = std::sqrt(sigmasEigen[original_index]);
0094       }
0095       original_index = 0;
0096       if (order == PCAOrdering::ascending)
0097         original_index = pcadimension - 1;
0098       if (eigenvectors_[0].z() * barycenter_.z() < 0.0) {
0099         eigenvectors_[0] = -ticl::Trackster::Vector(
0100             eigenvectors(0, original_index), eigenvectors(1, original_index), eigenvectors(2, original_index));
0101       }
0102 
0103       // Now also update the pt part of the Trackster, using the PCA as direction
0104       raw_pt_ = std::sqrt((eigenvectors_[0].Unit() * raw_energy_).perp2());
0105       raw_em_pt_ = std::sqrt((eigenvectors_[0].Unit() * raw_em_energy_).perp2());
0106     }
0107     void zeroProbabilities() {
0108       for (auto &p : id_probabilities_) {
0109         p = 0.f;
0110       }
0111     }
0112     inline void setProbabilities(float *probs) {
0113       for (float &p : id_probabilities_) {
0114         p = *(probs++);
0115       }
0116     }
0117     inline void setIdProbability(ParticleType type, float value) { id_probabilities_[int(type)] = value; }
0118 
0119     inline const Trackster::IterationIndex ticlIteration() const { return (IterationIndex)iterationIndex_; }
0120     inline const std::vector<unsigned int> &vertices() const { return vertices_; }
0121     inline const unsigned int vertices(int index) const { return vertices_[index]; }
0122     inline const std::vector<float> &vertex_multiplicity() const { return vertex_multiplicity_; }
0123     inline const float vertex_multiplicity(int index) const { return vertex_multiplicity_[index]; }
0124     inline const std::vector<std::array<unsigned int, 2> > &edges() const { return edges_; }
0125     inline const edm::ProductID &seedID() const { return seedID_; }
0126     inline const int seedIndex() const { return seedIndex_; }
0127     inline const float time() const { return time_; }
0128     inline const float timeError() const { return timeError_; }
0129     inline const float regressed_energy() const { return regressed_energy_; }
0130     inline const float raw_energy() const { return raw_energy_; }
0131     inline const float raw_em_energy() const { return raw_em_energy_; }
0132     inline const float raw_pt() const { return raw_pt_; }
0133     inline const float raw_em_pt() const { return raw_em_pt_; }
0134     inline const Vector &barycenter() const { return barycenter_; }
0135     inline const std::array<float, 3> &eigenvalues() const { return eigenvalues_; }
0136     inline const std::array<Vector, 3> &eigenvectors() const { return eigenvectors_; }
0137     inline const Vector &eigenvectors(int index) const { return eigenvectors_[index]; }
0138     inline const std::array<float, 3> &sigmas() const { return sigmas_; }
0139     inline const std::array<float, 3> &sigmasPCA() const { return sigmasPCA_; }
0140     inline const std::array<float, 8> &id_probabilities() const { return id_probabilities_; }
0141     inline const float id_probabilities(int index) const { return id_probabilities_[index]; }
0142 
0143     // convenience method to return the ID probability for a certain particle type
0144     inline float id_probability(ParticleType type) const {
0145       // probabilities are stored in the same order as defined in the ParticleType enum
0146       return id_probabilities_[(int)type];
0147     }
0148 
0149   private:
0150     // TICL iteration producing the trackster
0151     uint8_t iterationIndex_;
0152 
0153     // The vertices of the DAG are the indices of the
0154     // 2d objects in the global collection
0155     std::vector<unsigned int> vertices_;
0156     std::vector<float> vertex_multiplicity_;
0157 
0158     // The edges connect two vertices together in a directed doublet
0159     // ATTENTION: order matters!
0160     // A doublet generator should create edges in which:
0161     // the first element is on the inner layer and
0162     // the outer element is on the outer layer.
0163     std::vector<std::array<unsigned int, 2> > edges_;
0164 
0165     // Product ID of the seeding collection used to create the Trackster.
0166     // For GlobalSeeding the ProductID is set to 0. For track-based seeding
0167     // this is the ProductID of the track-collection used to create the
0168     // seeding-regions.
0169     edm::ProductID seedID_;
0170 
0171     // For Global Seeding the index is fixed to one. For track-based seeding,
0172     // the index is the index of the track originating the seeding region that
0173     // created the trackster. For track-based seeding the pointer to the track
0174     // can be cooked using the previous ProductID and this index.
0175     int seedIndex_;
0176 
0177     // We also need the pointer to the original seeding region ??
0178     // something like:
0179     // int seedingRegionIdx;
0180 
0181     // -99, -1 if not available. ns units otherwise
0182     float time_;
0183     float timeError_;
0184 
0185     // regressed energy
0186     float regressed_energy_;
0187     float raw_energy_;
0188     float raw_em_energy_;
0189     float raw_pt_;
0190     float raw_em_pt_;
0191 
0192     // PCA Variables
0193     Vector barycenter_;
0194     std::array<float, 3> eigenvalues_;
0195     std::array<Vector, 3> eigenvectors_;
0196     std::array<float, 3> sigmas_;
0197     std::array<float, 3> sigmasPCA_;
0198 
0199     // trackster ID probabilities
0200     std::array<float, 8> id_probabilities_;
0201   };
0202 
0203   typedef std::vector<Trackster> TracksterCollection;
0204 }  // namespace ticl
0205 #endif