Data analysis techniques for high-energy physics

Frühwirth, R., Regler, M.

ISBN 10: 0521632196 / ISBN 13: 9780521632195

Published by Cambridge University Press, 2000

About this Item

Anzahl Bände: 1 - Bd.Nr.: kA - Sprache: en - Einband: Hardcover - Gewicht: 1010 - Illust.: - Zustand: Sehr gut - neuwertig.

Seller Inventory # 256122

Bibliographic Details

• Title: Data analysis techniques for high-energy physics
• Publisher: Cambridge University Press
• Publication Date: 2000
• Language: English
• ISBN 10: 0521632196
• ISBN 13: 9780521632195
• Binding: Hardcover
• Edition: 2. Auflage.
• Condition: Sehr gut
• Seller catalogs:
  • Naturwissenschaft - Physik, Chemie, Geologie

About this title

Synopsis

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.

Book Description

Now thoroughly revised and up-dated, this book describes techniques for handling and analysing the large amount of complex data obtained from high-energy and nuclear physics experiments. It discusses the use of pattern recognition techniques to group the huge number of measurements into physically meaningful objects and explains methods necessary to extract the maximum amount of information from the available measurements. This indispensable guide will appeal to graduate students, researchers and computer and electronic engineers involved with experimental physics.