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Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors

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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Salvato in:
Autori principali: Frühwirth, Rudolf, Strandlie, Are
Natura: Online
Lingua:inglese
Pubblicazione: Springer Nature 2021
Soggetti:
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
thema EDItEUR::P Mathematics and Science::PH Physics::PHP Particle and high-energy physics
thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDD Scientific standards, measurement etc
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQP Pattern recognition
thema EDItEUR::P Mathematics and Science::PH Physics::PHU Mathematical physics
Accesso online:ONIX_20210315_9783030657710_37
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ONIX_20210315_9783030657710_37

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