Acts::GainMatrixSmoother Class Reference

Kalman trajectory smoother based on gain matrix formalism. More...

#include <Acts/TrackFitting/GainMatrixSmoother.hpp>

Public Types
using	GetCovariance
	Type alias for delegate to get track state covariance matrix.
using	GetParameters
	Type alias for delegate to get track state parameters.

Public Member Functions
Result< void >	calculate (AnyMutableTrackStateProxy ts, AnyConstTrackStateProxy prev_ts, const Logger &logger) const
	Calculate smoothed parameters for a single track state using gain matrix formalism.
template<typename traj_t>
Result< void >	operator() (const GeometryContext &gctx, traj_t &trajectory, std::size_t entryIndex, const Logger &logger=getDummyLogger()) const
	Run the Kalman smoothing for one trajectory.

Public Attributes
bool	doCovCheckAndAttemptFix = false
	Whether to check the covariance matrices if they are semi-positive and if not attempt to correct them.

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.

Member Typedef Documentation

GetCovariance

using Acts::GainMatrixSmoother::GetCovariance

Initial value:

 
      Acts::Delegate<TrackStateTraits<kMeasurementSizeMax, false>::Covariance(
          void*)>

Type alias for delegate to get track state covariance matrix.

GetParameters

using Acts::GainMatrixSmoother::GetParameters

Initial value:

 
      Acts::Delegate<TrackStateTraits<kMeasurementSizeMax, false>::Parameters(
          void*)>

Type alias for delegate to get track state parameters.

Member Function Documentation

calculate()

Result< void > Acts::GainMatrixSmoother::calculate	(	AnyMutableTrackStateProxy	ts,
		AnyConstTrackStateProxy	prev_ts,
		const Logger &	logger ) const

Calculate smoothed parameters for a single track state using gain matrix formalism.

Parameters

ts	Current track state to be smoothed
prev_ts	Previous track state (in forward direction)
logger	Logger for verbose output

Returns

Success or failure of the smoothing calculation

operator()()

template<typename traj_t>

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

Run the Kalman smoothing for one trajectory.

Parameters

[in]	gctx	The geometry context to be used
[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

Returns

Success or failure of the smoothing procedure

Member Data Documentation

doCovCheckAndAttemptFix

bool Acts::GainMatrixSmoother::doCovCheckAndAttemptFix = false

Whether to check the covariance matrices if they are semi-positive and if not attempt to correct them.