Acts::GainMatrixSmoother Class Reference

Kalman smoother implementation based on Gain matrix formalism. More...

#include <acts/blob/sPHENIX/Core/include/Acts/TrackFitting/GainMatrixSmoother.hpp>

Public Member Functions
template<typename source_link_t >
Result< void >	operator() (const GeometryContext &, MultiTrajectory< source_link_t > &trajectory, size_t entryIndex, LoggerWrapper logger=getDummyLogger()) const

Detailed Description

Kalman smoother implementation based on Gain matrix formalism.

Template Parameters

parameters_t	Type of the track parameters
jacobian_t	Type of the Jacobian

Definition at line 28 of file GainMatrixSmoother.hpp.

View newest version in sPHENIX GitHub at line 28 of file GainMatrixSmoother.hpp

Member Function Documentation

template<typename source_link_t >

Result<void> Acts::GainMatrixSmoother::operator() ( const GeometryContext &  , MultiTrajectory< source_link_t > &  trajectory, size_t  entryIndex, LoggerWrapper  logger = getDummyLogger()  ) const

inline

Operater for Kalman smoothing

Template Parameters

source_link_t

The type of source link

Parameters

gctx	The geometry context for the smoothing
trajectory	The trajectory to be smoothed
entryIndex	The index of state to start the smoothing
globalTrackParamsCovPtr	The pointer to global track parameters covariance matrix

Returns

The smoothed track parameters at the first measurement state

Definition at line 42 of file GainMatrixSmoother.hpp.

View newest version in sPHENIX GitHub at line 42 of file GainMatrixSmoother.hpp

References ACTS_DEBUG, ACTS_VERBOSE, Acts::MultiTrajectory< source_link_t >::applyBackwards(), G, Acts::MultiTrajectory< source_link_t >::getTrackState(), and Acts::detail_lt::IndexData::kInvalid.

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The documentation for this class was generated from the following file:

• acts/blob/sPHENIX/Core/include/Acts/TrackFitting/GainMatrixSmoother.hpp