Data analysis techniques for high-energy physics
Particles (Nuclear physics) Mathematical physics Physics sähkökirjat
Cambridge University Press
2000
2nd ed.
EISBN 9780521632195
1. Real-time data triggering and filtering.
1.1. Definitions and goals of triggers and filters.
1.2. Trigger schemes.
1.3. Queuing theory, queuing simulation and reliability.
1.4. Classifications of triggers.
1.5. Examples of triggers.
1.6. Implementation of triggers.
1.7. Multiprogramming.
1.8. Communication lines, bus systems.
2. Pattern recognition.
2.1. Foundations of track finding.
2.2. Principles of pattern recognition.
2.3. Basic aspects of track finding.
2.4. Methods of track finding.
2.5. Finding of particle showers.
2.6. Identifying particles in ring-imaging Cherenkov counters.
3. Track and vertex fitting.
3.1. The task of track fitting.
3.2. Estimation of track parameters.
3.3. Fitting the tracks of charged particles.
3.4. Association of tracks to vertices.
3.5. Track reconstruction: examples and final remarks.
4. Tools and concepts for data analysis.
4.1. Abstracting formulae and data in the computer.
4.2. Data access methods.
4.3. Graphics.
4.4. Multidimensional analysis.
4.5. Data selection.
4.6. Data accumulation, projection, and presentation.
"Now thoroughly revised and up-dated, this book describes techniques for handling and analysing data obtained from high-energy and nuclear physics experiments." "This guide will appeal to graduate students, researchers and computer and electronic engineers involved with experimental physics."--BOOK JACKET.
1.1. Definitions and goals of triggers and filters.
1.2. Trigger schemes.
1.3. Queuing theory, queuing simulation and reliability.
1.4. Classifications of triggers.
1.5. Examples of triggers.
1.6. Implementation of triggers.
1.7. Multiprogramming.
1.8. Communication lines, bus systems.
2. Pattern recognition.
2.1. Foundations of track finding.
2.2. Principles of pattern recognition.
2.3. Basic aspects of track finding.
2.4. Methods of track finding.
2.5. Finding of particle showers.
2.6. Identifying particles in ring-imaging Cherenkov counters.
3. Track and vertex fitting.
3.1. The task of track fitting.
3.2. Estimation of track parameters.
3.3. Fitting the tracks of charged particles.
3.4. Association of tracks to vertices.
3.5. Track reconstruction: examples and final remarks.
4. Tools and concepts for data analysis.
4.1. Abstracting formulae and data in the computer.
4.2. Data access methods.
4.3. Graphics.
4.4. Multidimensional analysis.
4.5. Data selection.
4.6. Data accumulation, projection, and presentation.
"Now thoroughly revised and up-dated, this book describes techniques for handling and analysing data obtained from high-energy and nuclear physics experiments." "This guide will appeal to graduate students, researchers and computer and electronic engineers involved with experimental physics."--BOOK JACKET.
