Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors

Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors

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This open access book is a comprehensive review of the methods and algorithms that are used in the reconstruction of events recorded by past, running and planned experiments at particle accelerators such as the LHC, SuperKEKB and FAIR. The main topics are pattern recognition for track and vertex fin...

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Bibliographic Details
Main Authors: Frühwirth, Rudolf (Author), Strandlie, Are (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:1st ed. 2021.
Series:Particle Acceleration and Detection,
Subjects:
Particle accelerators.
Measurement.
Measuring instruments.
Pattern recognition systems.
Mathematical physics.
Accelerator Physics.
Measurement Science and Instrumentation.
Automated Pattern Recognition.
Theoretical, Mathematical and Computational Physics.
Online Access:Link to Metadata
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Table of Contents:
  • Part 1. Introduction
  • Chapter 1. Tracking Detectors
  • Chapter 2. Event Reconstruction
  • Chapter 3. Statistics and Numerical Methods
  • Part 2. Track Reconstruction
  • Chapter 4. Track Models
  • Chapter 5. Track Finding
  • Chapter 6. Track Fitting
  • Part 3. Vertex Reconstruction
  • Chapter 7. Vertex Finding
  • Chapter 8. Vertex Fitting
  • Chapter 9. Secondary Vertex Reconstruction
  • Part 4. Case Studies
  • Chapter 10. LHC Experiments.

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