Pattern Recognition and Event Reconstruction in Particle Physics Experiments

This report reviews methods of pattern recognition and event reconstruction used in modern high energy physics experiments. After a brief introduction into general concepts of particle detectors and statistical evaluation, different approaches in global and local methods of track pattern recognition are reviewed with their typical strengths and shortcomings. The emphasis is then moved to methods which estimate the particle properties from the signals which pattern recognition has associated. Finally, the global reconstruction of the event is briefly addressed.Comment: 101 pages, 58 figure

A trigger processor for ARGUS

The ARGUS detector at the electron-positron storage ring DORIS consists of various particle detectors arranged in cylindrical symmetry in and around an axial magnetic field. A fast secondary trigger processor has been designed to find and count circular tracks in the r- phi -plane of the detector that originate from the interaction point. The processor serves as a filter in the trigger system of the ARGUS detector and is expected to reduce the rate of background triggers by two orders of magnitude. The processor hardware is built in ECL to perform simple operations with very high speed and partly in parallel. The track finding process takes about 9 mu s plus 3 mu s for each encountered track element. Control information is stored in memories that may be loaded via CAMAC from the online computer allowing easy adaption of the processor to different experimental conditions. (1 refs)