Introduction
The TrkMeasurementUpdator package implements the core mathematics for Kalman filter-based track fitters. It provides the calculations to add or remove a measurement to/from the state vector of a track. Inheriting from the Trk::IUpdator abstract interface, the following operations are implemented:
- addition of a measurement to a (predicted) track states in local coordinates (i.e. the Kalman filter step)
- removal of a measurement from a track state (inverse filter)
- calculation of Chi2/ndf together with the above operation as well as in separate methods
- operates on Trk::LocalParameters of any dimension (1-5) and definition
- operates also on Trk::LocalPosition
Class Overview
The TrkMeasurementUpdator package contains the following classes:
- Trk::KalmanUpdator : measurement updator in gain matrix formalism (internally using dynamic Eigen Matrices)
- Trk::KalmanUpdatorSMatrix : measurement updator in gain matrix formalism (internally using SMatrix)
- Trk::KalmanWeightUpdator : measurement updator using weighted means formalism
- Author
- Sebastian Fleischmann http://consult.cern.ch/xwho/people/630599
Wolfgang Liebig http://consult.cern.ch/xwho/people/485812
References
R. Fruehwirth, Application of Kalman filtering, NIM A262, 446
R. Fruehwirth, et al., Data Analysis Techniques for High-Energy Physics, 2nd ed.
Extra Pages
1.8.18