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Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors

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Éditeur :

Springer


Collection :

Particle Acceleration and Detection

Paru le : 2021-02-26

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Description


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 finding, solving the equations of motion by analytical or numerical methods, treatment of material effects such as multiple Coulomb scattering and energy loss, and the estimation of track and vertex parameters by statistical algorithms. The material covers both established methods and recent developments in these fields and illustrates them by outlining exemplary solutions developed by selected experiments. The clear presentation enables readers to easily implement the material in a high-level programming language. It also highlights software solutions that are in the public domain whenever possible. It is a valuable resource for PhD students and researchers working on online or offline reconstruction for their experiments.    
Pages
203 pages
Collection
Particle Acceleration and Detection
Parution
2021-02-26
Marque
Springer
EAN papier
9783030657703
EAN PDF
9783030657710
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
20
Taille du fichier
6697 Ko
Prix
0,00 €
EAN EPUB
9783030657710
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
20
Taille du fichier
24904 Ko
Prix
0,00 €

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