TrackingTools/PatternTools/interface/CollinearFitAtTM.h - master - githubmirror/cmssw

TrackingTools/PatternTools/interface/CollinearFitAtTM.h
71 строка3 KB
Cms Build
Clang-Format
31 май 2019, 13:17
31 май 2019, 13:17df3006f
#ifndef CollinearFitAtTM2_h_
#define CollinearFitAtTM2_h_

#include "TrackingTools/PatternTools/interface/TrajectoryMeasurement.h"
#include "DataFormats/GeometryCommonDetAlgo/interface/Measurement1D.h"
#include "DataFormats/Math/interface/Vector.h"
#include "DataFormats/Math/interface/Error.h"

// #include "Workspace/TrajectoryMeasurementFits/interface/RandomVector.h"

/** Constrained fit at a TrajectoryMeasurement assuming collinearity 
 *  of incoming / outgoing momenta. The result of the fit is a vector
 *  of 6 variables: the first five correspond to local trajectory
 *  parameters for the incoming momentum, the 6th is the estimated 
 *  remaining energy fraction (p_out / p_in). The NDF are 6 (4)
 *  for a valid (invalid) RecHit. **/

class CollinearFitAtTM2 {
public:
  /// parameter indices in the result vector / covariance matrix
  enum { ParQpIn = 0, ParQpOut, ParDxDz, ParDyDz, ParX, ParY };

  CollinearFitAtTM2(const TrajectoryMeasurement& tm);
  CollinearFitAtTM2(const AlgebraicVector5& fwdParameters,
                    const AlgebraicSymMatrix55& fwdCovariance,
                    const AlgebraicVector5& bwdParameters,
                    const AlgebraicSymMatrix55& bwdCovariance,
                    const LocalPoint& hitPosition,
                    const LocalError& hitErrors);

  typedef ROOT::Math::SVector<double, 6> ResultVector;
  typedef ROOT::Math::SMatrix<double, 6, 6, ROOT::Math::MatRepSym<double, 6> > ResultMatrix;
  /// status of the fit
  bool valid() const { return valid_; }
  /// chi2
  double chi2() const { return chi2_; }
  /// degrees of freedom
  int ndof() const { return ndof_; }
  /// vector of fitted parameters
  const ResultVector& parameters() const { return parameters_; }
  /// covariance matrix of fitted parameters
  const ResultMatrix& covariance() const { return covariance_; }
  /// estimated deltaP (out-in) from fit parameters
  Measurement1D deltaP() const;

private:
  /// initialise the jacobian
  void initJacobian();
  /// Perform the fit. Return value "true" for success.
  bool fit(const AlgebraicVector5& fwdParameters,
           const AlgebraicSymMatrix55& fwdCovariance,
           const AlgebraicVector5& bwdParameters,
           const AlgebraicSymMatrix55& bwdCovariance,
           const LocalPoint& hitPosition,
           const LocalError& hitErrors);

private:
  ROOT::Math::SMatrix<double, 12, 6> jacobian_;
  ROOT::Math::SVector<double, 12> measurements_;
  ROOT::Math::SMatrix<double, 12, 12, ROOT::Math::MatRepSym<double, 12> > weightMatrix_;
  ROOT::Math::SVector<double, 6> projectedMeasurements_;
  //   RandomVector randomGenerator;

  bool valid_;
  ResultVector parameters_;
  ResultMatrix covariance_;
  double chi2_;
  int ndof_;
};

#endif