Now thoroughly revised and up-dated,this book describes techniques for handling and analysing data obtained from higenergy and nuclear physics experiments.

The observation of particle interactions involves the analysis of large and complx data samples.Beginning with a chapter on real-time data triggering and filtering,the book describes methods of selecting the relevant events from a somethings huge background.The use of pattern recognition techniques to group the huge number of measurements into physically meaningful objects like particle tracks or showers is then examined and the track and vertex fitting methods necessapy to extract the maximum amount of information from the available measurements are explained.The final chapter describes tools and methods which are useful to the experimenter in the physics interpretation and in the presentation of the results.

This indispensable guide will appeal to graduate students, researchers and computer and electronic engineers involved with experimental physics.

1. Real-time data triggering and filtering
2. Pattern recognition
3. Track and vertex fitting
4. Tools and concepts for data analysis