Progressive track recognition with a Kalman-like fitting procedure

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Abstract

A progressive recognition of charged particle trajectories is proposed: starting from a small segment, the tracks are extended by adding points one after another; the fitted parameters of the trajectory are updated at the same time (using a Kalman-like formalism), thus giving an increasing precision no the prediction to the next point. This method was implemented in the DELPHI TPC off-line analysis: a flexible strategy is associated with this general principle in order to cope with specific problems (overlap and edge effects, error tails, etc.). A generalization of the method to more general configurations of tracking devices is proposed.

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