#include "AtlfastAlgs/MuonBinData.h"
 
 namespace Atlfast 
 {
 
  /** @brief Class to hold smearing matrix data
    *
    * The data is provided through the constructor
    * in the format found in the flat file and the
    * correlation matrix corresponding to the bin
    * can be calculated and returned via public methods.
    */
 
 
   //-----------------------------------------------
   // PUBLIC - Constructor
   //-----------------------------------------------
   
   MuonBinData::MuonBinData( BinID& id,
                             vector< ParameterResolutions* > sigma,
                             vector< ParameterResolutions* > correlations ) :
     m_id(id),
     m_sigmas(sigma),    
     m_correlations(correlations)
   {}    
 
 
   MuonBinData::~MuonBinData()
   {
     for (size_t i = 0; i < m_sigmas.size(); i++)
       delete m_sigmas[i];
     for (size_t i = 0; i < m_correlations.size(); i++)
       delete m_correlations[i];
   }
   
   
   //--------------------------------------------------------------------
   // PUBLIC - HepSymMatrix getMatrix(random)
   // returns appropriate Sigma (=covariance) matrix
   //
   // NOTE: the representation of Sigma is determined by the track 
   //       representation implicitly given in the parameter files,
   //       i.e., (d0, z0, phi0, cot(theta0), q/pT), which is for 
   //       internal use only.
   //
   //       The main advantage of this representation is that in 
   //       the context of the ID, for a solenoidal field, the three
   //       transverse track parameters (d0, phi0, q/pT) are to a 
   //       good approximation uncorrelated with the two longitudinal 
   //       ones (z0, cot(theta0)).  
   //
   //       Sigma has to be converted into the representation used 
   //       by Common Tracking, i.e. (d0, z0, phi0, theta0, q/p), 
   //       when it is written to CBNTs or AODs.  
   //--------------------------------------------------------------------
   HepSymMatrix MuonBinData::getMatrix( const TrackTrajectory& traj ) const 
   {
 
     HepSymMatrix Sigma(5,0);
 
     // diagonals
     for ( int param = 0; param < 5; param++ )
     {
        Sigma[param][param] = std::pow( m_sigmas[param]->resolution(traj), 2 );
     }
 
     // off-diagonals
     // NOTE: m_correlations[] holds correlation coefficients, need covariances
 
     // (1,3) ... cov(d0,phi0)
     // (1,5) ... cov(d0,q/pT)
     // (3,5) ... cov(phi0,q/pT)
     double rho13 = m_correlations[0]->resolution(traj);
     double rho15 = m_correlations[1]->resolution(traj);
     double rho35 = m_correlations[2]->resolution(traj);
     
     // covariance sub-matrix of transverse parameters needs to be positive definite
     // in order that its square root (cf. MuonMatrixManager) exists
     double det3 = 1 - rho13 * rho13 - rho15 * rho15 - rho35 * rho35 - 2 * rho13 * rho15 * rho35;
     if ( det3 < 0 )  rho13 = rho15 = rho35 = 0;
     
     // make sure that correlation coefficients stay within [-1,+1]
     if ( std::abs(rho13) > 1 )  rho13 *= 0.99 / std::abs(rho13);
     if ( std::abs(rho15) > 1 )  rho15 *= 0.99 / std::abs(rho15);
     if ( std::abs(rho35) > 1 )  rho35 *= 0.99 / std::abs(rho35);
     
     Sigma(1,3) = Sigma(3,1) = rho13 * std::sqrt( Sigma(1,1) * Sigma(3,3) );
     Sigma(1,5) = Sigma(5,1) = rho15 * std::sqrt( Sigma(1,1) * Sigma(5,5) );
     Sigma(3,5) = Sigma(5,3) = rho35 * std::sqrt( Sigma(3,3) * Sigma(5,5) );
 
     
     // (2,4) ... cov(z0,cot(theta0))
     double rho24 = m_correlations[3]->resolution(traj);
     // make sure that correlation coefficient stays within [-1,+1]
     if ( std::abs(rho24) > 1 )  rho24 *= 0.99 / std::abs(rho24);
     Sigma(2,4) = Sigma(4,2) = rho24 * std::sqrt( Sigma(2,2) * Sigma(4,4) );
 
     // DONE!
     return Sigma;
     
   }
   
 }//namespace bracket
 

Due to the LXR bug, the updates fail sometimes to remove references to deleted files. The Saturday's full rebuilds fix these problems
This page was automatically generated by the LXR engine.