Data Analysis Techniques for High-Energy Physics

By: D. Hamburg) Notz, R. K. Bock, R. Fruhwirth, M. Regler, H. Grote

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Paperback | 15 October 2000 | Edition Number 2

At a Glance

Paperback
412 Pages

Edition Type
Revised

Dimensions(cm)
24.4 x 17.2 x 2.3

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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.

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Preface
Abbreviations
Symbols
Intoduction
Real-time data triggering and filtering
Pattern recognition
Track and vertex fitting
Tools and concepts for data analysis
References
Index
Table of Contents provided by Publisher. All Rights Reserved.

Data Analysis Techniques for High-Energy Physics

At a Glance

Paperback

Shipping

How to return your order

Defective items

You Can Find This Book In

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