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Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors



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Autore: ühwirth Rudolf Visualizza persona
Titolo: Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors Visualizza cluster
Pubblicazione: Springer Nature, 2021
Cham : , : Springer International Publishing AG, , 2021
©2021
Descrizione fisica: 1 online resource (208 pages)
Soggetto topico: Particle & high-energy physics
Mensuration & systems of measurement
Pattern recognition
Mathematical physics
Soggetto non controllato: Particle Acceleration and Detection, Beam Physics
Measurement Science and Instrumentation
Pattern Recognition
Numerical and Computational Physics, Simulation
Accelerator Physics
Automated Pattern Recognition
Theoretical, Mathematical and Computational Physics
Event reconstruction
Tracking detectors in High Energy Physics
Vertex reconstruction
Clustering algorithms
Experimental High-Energy Physics
LHC
Calolimator for pattern recognition
Vertex of particle collision
Triggering event and data analysis
Open access
Particle & high-energy physics
Scientific standards, measurement etc
Mathematical physics
Altri autori: StrandlieAre  
Sommario/riassunto: 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.
Titolo autorizzato: Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors  Visualizza cluster
ISBN: 3-030-65771-X
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910473458503321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: Particle Acceleration and Detection