Hera-b 98{206 Software 98{026 Ranger { a Pattern Recognition Algorithm for the Hera-b Main Tracking System Part Iii: Tracking in the Trigger Chambers
A tracking algorithm based on the Concurrent Track Evolution method has been developed to propagate track candidates which have been found in the main tracking system between vertex detector and RICH into the \trigger chamber" area between RICH and electromagnetic calorimeter. The performance of the method is tested on HERA-B Monte Carlo events with full detector simulation and in the framework of the current software environment.
Hera-b 99{111 Software 99{016 Ranger { a Pattern Recognition Algorithm for the Hera-b Main Tracking System Part V: Compatibility Analysis
The solutions for track reconstruction in the HERA-B main tracking system introduced in previous works 1, 2, 3, 4] have been extended in severals ways. We have analyzed the rate of multiply reconstructed particles and developed and tested a compatibility analysis strategy to suppress such redundancies. We give eeciencies and parameter resolutions after application of this method, where we now also include the silicon strip superlayer SI08, re-evaluate the cpu time requirements on a modern Intel processor and nally show results of rst investigations on an integration of main tracker and vertex detector track segments.
Simultaneous pattern recognition and track fitting by the Kalman filtering method
Abstract A progressive pattern recognition algorithm based on the Kalman filtering method has been tested. The algorithm starts from a small track segment or from a fitted track of a neighbouring detector, then extends the candidate tracks by adding measured points one by one. The fitted parameters and weight matrix of the candidate track are updated when adding a point, and give an increasing precision on prediction of the next point. Thus, pattern recognition and track fitting can be accomplished simultaneously. The method has been implemented and tested for track reconstruction for the vertex detector of the ZEUS experiment at DESY. Detailed procedures of the method and its performance are presented. Its flexibility is described as well.