Data Analysis Techniques for High-Energy Physics by R Bock

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Summary

Now thoroughly revised and up-dated, this indispensable guide describes techniques for handling and analysing large and complex data samples obtained from high-energy and nuclear physics experiments. It includes pattern recognition techniques to group measurements into physically meaningful objects like particle tracks and methods of extracting maximum information from available measurements.

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Data Analysis Techniques for High-Energy Physics by R Bock

Now thoroughly revised and up-dated, this book describes techniques for handling and analysing data obtained from high-energy and nuclear physics experiments. The observation of particle interactions involves the analysis of large and complex data samples. Beginning with a chapter on real-time data triggering and filtering, the book describes methods of selecting the relevant events from a sometimes 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 necessary 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 physical 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.
SKU Unavailable
ISBN 13 9780521635486
ISBN 10 0521635489
Title Data Analysis Techniques for High-Energy Physics
Author R Bock
Series Cambridge Monographs On Particle Physics Nuclear Physics And Cosmology
Condition Unavailable
Binding Type Paperback
Publisher Cambridge University Press
Year published 2000-08-17
Number of pages 412
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.