Data analysis techniques for high-energy physics.
"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 p...
Clasificación: | Libro Electrónico |
---|---|
Otros Autores: | , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Cambridge, U.K. ; New York :
Cambridge University Press,
2000.
|
Edición: | 2nd ed. / |
Colección: | Cambridge monographs on particle physics, nuclear physics, and cosmology ;
11. |
Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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.