GhostTrackPrediction.cc

Go to the documentation of this file.

#include <cmath>
 
#include <Math/SMatrix.h>
#include <Math/MatrixFunctions.h>
 
#include "DataFormats/GeometryVector/interface/GlobalPoint.h"
#include "DataFormats/GeometryVector/interface/GlobalVector.h"
#include "DataFormats/GeometryCommonDetAlgo/interface/GlobalError.h"
#include "DataFormats/TrackReco/interface/Track.h"
 
#include "TrackingTools/TrajectoryParametrization/interface/CurvilinearTrajectoryParameters.h"
#include "TrackingTools/TrajectoryParametrization/interface/GlobalTrajectoryParameters.h"
#include "TrackingTools/TrajectoryState/interface/FreeTrajectoryState.h"
 
#include "RecoVertex/GhostTrackFitter/interface/GhostTrackPrediction.h"
 
using namespace reco;
 
namespace {
#ifndef __clang__
  inline double sqr(double arg) { return arg * arg; }
#endif
  typedef ROOT::Math::SMatrix<double, 3, 4> Matrix34;
  typedef ROOT::Math::SMatrix<double, 4, 5> Matrix45;
  typedef ROOT::Math::SMatrix<double, 5, 4> Matrix54;
  typedef ROOT::Math::SMatrix<double, 4, 6> Matrix46;
  typedef ROOT::Math::SMatrix<double, 6, 4> Matrix64;
  typedef ROOT::Math::SMatrix<double, 6, 6, ROOT::Math::MatRepSym<double, 6> > Matrix6S;
 
  inline GhostTrackPrediction::Vector convert(const CurvilinearTrajectoryParameters &trajectory) {
    return GhostTrackPrediction::Vector(trajectory.yT() / std::cos(trajectory.lambda()),
                                        trajectory.xT(),
                                        std::tan(trajectory.lambda()),
                                        trajectory.phi());
  }
 
  inline GhostTrackPrediction::Vector convert(const GlobalTrajectoryParameters &trajectory) {
    return convert(CurvilinearTrajectoryParameters(trajectory.position(), trajectory.momentum(), 0));
  }
 
  inline GhostTrackPrediction::Error convert(const GhostTrackPrediction::Vector &pred,
                                             const CurvilinearTrajectoryError &error) {
    double rho2 = pred[2] * pred[2] + 1.;
    double rho = std::sqrt(rho2);
 
    Matrix45 jacobian;
    jacobian(0, 1) = pred[0] * pred[2];
    jacobian(0, 4) = rho;
    jacobian(1, 3) = 1.;
    jacobian(2, 1) = rho2;
    jacobian(3, 2) = 1.;
 
    return ROOT::Math::Similarity(jacobian, error.matrix());
  }
 
}  // namespace
 
void GhostTrackPrediction::init(const GlobalPoint &priorPosition,
                                const GlobalError &priorError,
                                const GlobalVector &direction,
                                const GlobalError &directionError) {
  double perp2 = direction.perp2();
  GlobalVector dir = direction / std::sqrt(perp2);
  double tip = priorPosition.y() * dir.x() - priorPosition.x() * dir.y();
  double l = priorPosition.x() * dir.x() + priorPosition.y() * dir.y();
 
  prediction_[0] = priorPosition.z() - dir.z() * l;
  prediction_[1] = tip;
  prediction_[2] = dir.z();
  prediction_[3] = dir.phi();
 
  Matrix46 jacobian;
  jacobian(0, 0) = -dir.x() * dir.z();
  jacobian(1, 0) = -dir.y();
  jacobian(0, 1) = -dir.y() * dir.z();
  jacobian(1, 1) = dir.x();
  jacobian(0, 2) = 1.;
  jacobian(0, 3) = -dir.z() * priorPosition.x();
  jacobian(1, 3) = priorPosition.y();
  jacobian(3, 3) = -dir.y();
  jacobian(0, 4) = -dir.z() * priorPosition.y();
  jacobian(1, 4) = -priorPosition.x();
  jacobian(3, 4) = dir.x();
  jacobian(0, 5) = -l;
  jacobian(2, 5) = 1.;
 
  Matrix6S origCov;
  origCov.Place_at(priorError.matrix(), 0, 0);
  origCov.Place_at(directionError.matrix() / perp2, 3, 3);
 
  covariance_ = ROOT::Math::Similarity(jacobian, origCov);
}
 
GhostTrackPrediction::GhostTrackPrediction(const GlobalPoint &priorPosition,
                                           const GlobalError &priorError,
                                           const GlobalVector &direction,
                                           double coneRadius) {
  double dTheta = std::cosh((double)direction.eta()) * coneRadius;
 
  double r2 = direction.mag2();
  double r = std::sqrt(r2);
  double perp = direction.perp();
  double P = direction.x() / perp;
  double p = direction.y() / perp;
  double T = direction.z() / r;
  double t = perp / r;
  double h2 = dTheta * dTheta;
  double d2 = coneRadius * coneRadius;
 
  GlobalError cov(r2 * (T * T * P * P * h2 + t * t * p * p * d2),
                  r2 * p * P * (T * T * h2 - t * t * d2),
                  r2 * (T * T * p * p * h2 + t * t * P * P * d2),
                  -r2 * t * T * P * h2,
                  -r2 * t * T * p * h2,
                  r2 * t * t * h2);
 
  init(priorPosition, priorError, direction, cov);
}
 
GhostTrackPrediction::GhostTrackPrediction(const GlobalTrajectoryParameters &trajectory,
                                           const CurvilinearTrajectoryError &error)
    : prediction_(convert(trajectory)), covariance_(convert(prediction_, error)) {}
 
GhostTrackPrediction::GhostTrackPrediction(const Track &track)
    : prediction_(convert(GlobalTrajectoryParameters(GlobalPoint(track.vx(), track.vy(), track.vz()),
                                                     GlobalVector(track.px(), track.py(), track.pz()),
                                                     0,
                                                     nullptr))),
      covariance_(convert(prediction_, track.covariance())) {}
 
GlobalError GhostTrackPrediction::positionError(double lambda) const {
  double x = std::cos(phi());
  double y = std::sin(phi());
 
  Matrix34 jacobian;
  jacobian(0, 1) = -y;
  jacobian(0, 3) = -y * lambda - x * ip();
  jacobian(1, 1) = x;
  jacobian(1, 3) = x * lambda - y * ip();
  jacobian(2, 0) = 1.;
  jacobian(2, 2) = lambda;
 
  return ROOT::Math::Similarity(jacobian, covariance());
}
 
Matrix6S GhostTrackPrediction::cartesianError(double lambda) const {
  double x = std::cos(phi());
  double y = std::sin(phi());
 
  Matrix64 jacobian;
  jacobian(0, 1) = -y;
  jacobian(0, 3) = -y * lambda - x * ip();
  jacobian(1, 1) = x;
  jacobian(1, 3) = x * lambda - y * ip();
  jacobian(2, 0) = 1.;
  jacobian(2, 2) = lambda;
  jacobian(3, 3) = -y;
  jacobian(4, 3) = x;
  jacobian(5, 2) = 1.;
 
  return ROOT::Math::Similarity(jacobian, covariance());
}
 
GlobalTrajectoryParameters GhostTrackPrediction::globalTrajectory(const MagneticField *fieldProvider) const {
  return GlobalTrajectoryParameters(origin(), direction(), 0, fieldProvider);
}
 
CurvilinearTrajectoryError GhostTrackPrediction::curvilinearError() const {
  double rho2I = 1. / rho2();
  double rhoI = std::sqrt(rho2I);
 
  Matrix54 jacobian;
  jacobian(1, 2) = rho2I;
  jacobian(2, 3) = 1.;
  jacobian(3, 1) = 1.;
  jacobian(4, 0) = rhoI;
  jacobian(4, 2) = -z() * rhoI * cotTheta() * rho2I;
 
  AlgebraicSymMatrix55 err = Similarity(jacobian, covariance());
  err(0, 0) = 1.;
 
  return CurvilinearTrajectoryError(err);
}
 
FreeTrajectoryState GhostTrackPrediction::fts(const MagneticField *fieldProvider) const {
  return FreeTrajectoryState(globalTrajectory(fieldProvider), curvilinearError());
}
 
Track GhostTrackPrediction::track(double ndof, double chi2) const {
  GlobalPoint origin = this->origin();
  GlobalVector dir = direction().unit();
 
  Track::Point point(origin.x(), origin.y(), origin.z());
  Track::Vector vector(dir.x(), dir.y(), dir.z());
 
  return Track(chi2, ndof, point, vector, 0, curvilinearError());
}