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Data Analysis Techniques for High-Energy Physic, Fruhwirth, Regler, Bock, Gr-,
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- PublishedOn
- 2008-08-21
- Title
- Data Analys Tech High Ener Phys 2ed (Cambridge Monographs on Par
- ISBN
- 9780521635486
- Subject Area
- Science
- Publication Name
- Data Analysis Techniques for High-Energy Physics
- Publisher
- Cambridge University Press
- Item Length
- 9.8 in
- Subject
- Physics / Mathematical & Computational, Physics / Nuclear, Physics / General
- Publication Year
- 2000
- Series
- Cambridge Monographs on Particle Physics, Nuclear Physics and Cosmology Ser.
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Height
- 1.1 in
- Features
- Revised
- Item Weight
- 22.9 Oz
- Item Width
- 7 in
- Number of Pages
- 412 Pages
關於產品
Product Identifiers
Publisher
Cambridge University Press
ISBN-10
0521635489
ISBN-13
9780521635486
eBay Product ID (ePID)
1933055
Product Key Features
Number of Pages
412 Pages
Publication Name
Data Analysis Techniques for High-Energy Physics
Language
English
Subject
Physics / Mathematical & Computational, Physics / Nuclear, Physics / General
Publication Year
2000
Features
Revised
Type
Textbook
Subject Area
Science
Series
Cambridge Monographs on Particle Physics, Nuclear Physics and Cosmology Ser.
Format
Trade Paperback
Dimensions
Item Height
1.1 in
Item Weight
22.9 Oz
Item Length
9.8 in
Item Width
7 in
Additional Product Features
Edition Number
2
Intended Audience
Scholarly & Professional
LCCN
99-020207
Dewey Edition
21
Series Volume Number
Series Number 11
Illustrated
Yes
Dewey Decimal
530.1/5
Edition Description
Revised edition
Table Of Content
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.
Synopsis
Up-dated indispensable guide to handling and analysing data obtained from high-energy and nuclear physics experiments., 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., 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., 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.
LC Classification Number
QC793.412 .D37 2000
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