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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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Frühwirth, R. (Rudolf), Regler, M.
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.