Data Analysis Techniques for High-Energy Physics / Edition 2

by R. Frühwirth, M. Regler, R. K. Bock, H. Grote, D. Notz

Overview

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.

Product Details

ISBN-13:	9780521635486
Publisher:	Cambridge University Press
Publication date:	08/17/2000
Series:	Cambridge Monographs on Particle Physics, Nuclear Physics and Cosmology , #11
Edition description:	REV
Pages:	412
Product dimensions:	6.97(w) x 9.76(h) x 1.06(d)

Table of Contents

Preface; Abbreviations; Symbols; Intoduction; 1. Real-time data triggering and filtering; 2. Pattern recognition; 3. Track and vertex fitting; 4. Tools and concepts for data analysis; References; Index.