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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Бібліографічні деталі
Автори:	Frühwirth, Rudolf, Strandlie, Are
Формат:	Online
Мова:	Англійська
Опубліковано:	Springer Nature 2021
Предмети:	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
Онлайн доступ:	ONIX_20210315_9783030657710_37
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Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors

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