Acts::GainMatrixSmoother Class Reference

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

Public Types
using	GetParameters = Acts::Delegate< TrackStateTraits< MultiTrajectoryTraits::MeasurementSizeMax, false >::Parameters(void *)>
using	GetCovariance = Acts::Delegate< TrackStateTraits< MultiTrajectoryTraits::MeasurementSizeMax, false >::Covariance(void *)>

Public Member Functions
template<typename traj_t >
Result< void >	operator() (const GeometryContext &gctx, traj_t &trajectory, size_t entryIndex, const Logger &logger=getDummyLogger()) const
Result< void >	calculate (void *ts, void *prev_ts, const GetParameters &filtered, const GetCovariance &filteredCovariance, const GetParameters &smoothed, const GetParameters &predicted, const GetCovariance &predictedCovariance, const GetCovariance &smoothedCovariance, const GetCovariance &jacobian, const Logger &logger) const

Detailed Description

Kalman trajectory smoother based on gain matrix formalism.

This implements not a single smoothing step, but the full backwards smoothing procedure for a filtered, forward trajectory using the stored linearization.

Definition at line 30 of file GainMatrixSmoother.hpp.

View newest version in sPHENIX GitHub at line 30 of file GainMatrixSmoother.hpp

Member Typedef Documentation

using Acts::GainMatrixSmoother::GetCovariance = Acts::Delegate<TrackStateTraits<MultiTrajectoryTraits::MeasurementSizeMax, false>::Covariance(void*)>

Definition at line 134 of file GainMatrixSmoother.hpp.

View newest version in sPHENIX GitHub at line 134 of file GainMatrixSmoother.hpp

using Acts::GainMatrixSmoother::GetParameters = Acts::Delegate<TrackStateTraits<MultiTrajectoryTraits::MeasurementSizeMax, false>::Parameters(void*)>

Definition at line 131 of file GainMatrixSmoother.hpp.

View newest version in sPHENIX GitHub at line 131 of file GainMatrixSmoother.hpp

Member Function Documentation

Result< void > Acts::GainMatrixSmoother::calculate	(	void *	ts,
		void *	prev_ts,
		const GetParameters &	filtered,
		const GetCovariance &	filteredCovariance,
		const GetParameters &	smoothed,
		const GetParameters &	predicted,
		const GetCovariance &	predictedCovariance,
		const GetCovariance &	smoothedCovariance,
		const GetCovariance &	jacobian,
		const Logger &	logger
	)		const

Definition at line 21 of file GainMatrixSmoother.cpp.

View newest version in sPHENIX GitHub at line 21 of file GainMatrixSmoother.cpp

References ACTS_DEBUG, Acts::ACTS_VERBOSE(), and G.

Referenced by operator()().

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template<typename traj_t >

Result<void> Acts::GainMatrixSmoother::operator() ( const GeometryContext &  gctx, traj_t &  trajectory, size_t  entryIndex, const Logger &  logger = getDummyLogger()  ) const

inline

Run the Kalman smoothing for one trajectory.

Parameters

[in]	gctx	The geometry context for the smoothing
[in,out]	trajectory	The trajectory to be smoothed
[in]	entryIndex	The index of state to start the smoothing
[in]	logger	Where to write logging information to

Definition at line 39 of file GainMatrixSmoother.hpp.

View newest version in sPHENIX GitHub at line 39 of file GainMatrixSmoother.hpp

References Acts::ACTS_VERBOSE(), assert, calculate(), acts::error, and logger().

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

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