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Data Analysis Techniques for High-Energy Physics (Cambridge Monographs on Particle Physics, Nuclear Physics and Cosmology), by R. Frü
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Now thoroughly revised and up-dated, this volume describes techniques for handling and analyzing data obtained from high-energy and nuclear physics experiments. Beginning with a chapter on real-time data triggering and filtering, the book describes methods of selecting the relevant events from a large background. The use of pattern recognition techniques to group the huge number of measurements into physically meaningful objects such as 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 useful for the physical interpretation and presentation of results.
- Sales Rank: #3393405 in Books
- Brand: Brand: Cambridge University Press
- Published on: 2000-08-28
- Original language: English
- Number of items: 1
- Dimensions: 9.72" h x .83" w x 6.85" l, 1.44 pounds
- Binding: Paperback
- 412 pages
- Used Book in Good Condition
About the Author
Peter Landshoff qualified for his PhD from the University of Cambridge in 1962. He is Professor of Mathematical Physics there and is Vice-Master of Christ's College.
Most helpful customer reviews
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ُExcellent Book
By Mohammed Zakaria
This book closes is a big gap between what you learn in a college course or two about particle physics and what you deal with when doing research in the topic.
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