File GainMatrixSmoother.hpp¶
-
namespace Acts
Note
This file is foreseen for the
Geometry
module to replaceExtent
-
class GainMatrixSmoother
- #include <Acts/TrackFitting/GainMatrixSmoother.hpp>
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.
Public Types
-
using GetCovariance = Acts::Delegate<TrackStateTraits<MultiTrajectoryTraits::MeasurementSizeMax, false>::Covariance(void*)>
-
using GetParameters = Acts::Delegate<TrackStateTraits<MultiTrajectoryTraits::MeasurementSizeMax, false>::Parameters(void*)>
Public Functions
-
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, LoggerWrapper logger) const
-
template<typename D>
inline Result<void> operator()(const GeometryContext &gctx, MultiTrajectory<D> &trajectory, size_t entryIndex, LoggerWrapper logger = getDummyLogger()) const Run the Kalman smoothing for one trajectory.
- Parameters
gctx – [in] The geometry context for the smoothing
trajectory – [inout] The trajectory to be smoothed
entryIndex – [in] The index of state to start the smoothing
logger – [in] Where to write logging information to
-
using GetCovariance = Acts::Delegate<TrackStateTraits<MultiTrajectoryTraits::MeasurementSizeMax, false>::Covariance(void*)>
-
class GainMatrixSmoother