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econte |
1.1 |
#include "TrackingTools/PatternTools/interface/CollinearFitAtTM.h"
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#include "FWCore/MessageLogger/interface/MessageLogger.h"
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CollinearFitAtTM2::CollinearFitAtTM2 (const TrajectoryMeasurement& tm) :
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valid_(false),chi2_(-1),ndof_(-1) {
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//
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// check input
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//
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if ( !tm.forwardPredictedState().isValid() ||
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!tm.backwardPredictedState().isValid() ||
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!tm.updatedState().isValid() ) {
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edm::LogWarning("CollinearFitAtTM2") << "Invalid state in TrajectoryMeasurement";
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return;
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}
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//
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// prepare fit
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//
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initJacobian();
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AlgebraicVector5 fwdPar = tm.forwardPredictedState().localParameters().vector();
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AlgebraicSymMatrix55 fwdCov = tm.forwardPredictedState().localError().matrix();
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AlgebraicVector5 bwdPar = tm.backwardPredictedState().localParameters().vector();
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AlgebraicSymMatrix55 bwdCov = tm.backwardPredictedState().localError().matrix();
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LocalPoint hitPos(0.,0.,0.);
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LocalError hitErr(-1.,-1.,-1.);
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if ( tm.recHit()->isValid() ) {
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hitPos = tm.recHit()->localPosition();
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hitErr = tm.recHit()->localPositionError();
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}
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fit(fwdPar,fwdCov,bwdPar,bwdCov,hitPos,hitErr);
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}
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CollinearFitAtTM2::CollinearFitAtTM2 (const AlgebraicVector5& fwdParameters,
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const AlgebraicSymMatrix55& fwdCovariance,
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const AlgebraicVector5& bwdParameters,
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const AlgebraicSymMatrix55& bwdCovariance,
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const LocalPoint& hitPosition,
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const LocalError& hitErrors) :
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valid_(false),chi2_(-1),ndof_(-1) {
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//
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// prepare fit
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//
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initJacobian();
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fit(fwdParameters,fwdCovariance,bwdParameters,bwdCovariance,hitPosition,hitErrors);
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}
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void
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CollinearFitAtTM2::initJacobian ()
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{
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//
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// Jacobian
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//
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for ( int i=0; i<12; ++i ) {
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for ( int j=0; j<6; ++j ) jacobian_(i,j) = 0;
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}
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for ( int i=1; i<5; ++i ) {
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jacobian_(i,ParQpOut+i) = jacobian_(i+5,ParQpOut+i) = 1;
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}
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jacobian_(0,ParQpIn) = 1.;
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jacobian_(5,ParQpOut) = 1.;
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}
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bool
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CollinearFitAtTM2::fit (const AlgebraicVector5& fwdParameters,
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const AlgebraicSymMatrix55& fwdCovariance,
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const AlgebraicVector5& bwdParameters,
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const AlgebraicSymMatrix55& bwdCovariance,
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const LocalPoint& hitPos, const LocalError& hitErr)
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{
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if ( hitErr.xx()>0 )
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jacobian_(10,ParX) = jacobian_(11,ParY) = 1;
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else
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jacobian_(10,ParX) = jacobian_(11,ParY) = 0;
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for ( int i=0; i<12; ++i ) {
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for ( int j=0; j<12; ++j ) weightMatrix_(i,j) = 0;
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}
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for ( int i=0; i<5; ++i ) measurements_(i) = fwdParameters(i);
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weightMatrix_.Place_at(fwdCovariance,0,0);
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for ( int i=0; i<5; ++i ) measurements_(i+5) = bwdParameters(i);
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weightMatrix_.Place_at(bwdCovariance,5,5);
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if ( hitErr.xx()>0 ) {
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measurements_(10) = hitPos.x();
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measurements_(11) = hitPos.y();
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weightMatrix_(10,10) = hitErr.xx();
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weightMatrix_(10,11) = weightMatrix_(11,10) = hitErr.xy();
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weightMatrix_(11,11) = hitErr.yy();
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}
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else {
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measurements_(10) = measurements_(11) = 0.;
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weightMatrix_(10,10) = weightMatrix_(11,11) = 1.;
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weightMatrix_(10,11) = weightMatrix_(11,10) = 0.;
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}
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//
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// invert covariance matrix
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//
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if ( !weightMatrix_.Invert() ) {
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edm::LogWarning("CollinearFitAtTM2") << "Inversion of input covariance matrix failed";
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return false;
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}
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//
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projectedMeasurements_ = ROOT::Math::Transpose(jacobian_)*(weightMatrix_*measurements_);
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//
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// Fitted parameters and covariance matrix
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//
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covariance_ = ROOT::Math::SimilarityT(jacobian_,weightMatrix_);
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if ( !covariance_.Invert() ) {
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edm::LogWarning("CollinearFitAtTM2") << "Inversion of resulting weight matrix failed";
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return false;
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}
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parameters_ = covariance_*projectedMeasurements_;
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//
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// chi2
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//
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chi2_ = ROOT::Math::Similarity(measurements_,weightMatrix_) -
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ROOT::Math::Similarity(projectedMeasurements_,covariance_);
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ndof_ = hitErr.xx()>0 ? 6 : 4;
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valid_ = true;
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return true;
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}
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Measurement1D
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CollinearFitAtTM2::deltaP () const {
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//
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// check validity
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//
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if ( !valid_ ) return Measurement1D();
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//
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// deltaP = 1/qpout - 1/qpin ; uncertainty from linear error propagation
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//
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double qpIn = parameters_(0);
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double sig2In = covariance_(0,0);
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double qpOut = parameters_(1);
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double sig2Out = covariance_(1,1);
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double corrInOut = covariance_(0,1);
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double pIn = 1./fabs(qpIn);
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double pOut = 1./fabs(qpOut);
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double sig2DeltaP = pIn/qpIn*pIn/qpIn*sig2In - 2*pIn/qpIn*pOut/qpOut*corrInOut +
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pOut/qpOut*pOut/qpOut*sig2Out;
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return Measurement1D(pOut-pIn,sig2DeltaP?sqrt(sig2DeltaP):0.);
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}
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