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Pattern Recognition Tracking Vertex by Frühwirth Rudolf (10 results)
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Condition: As New. Unread book in perfect condition.
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Condition: New. pp. 220 1st Edition NO-PA16APR2015-KAP.
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Hardcover. Condition: Brand New. 245 pages. 9.25x6.10x0.60 inches. In Stock.
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Condition: new. Questo è un articolo print on demand.
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Condition: New. Print on Demand pp. 220.
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Condition: New. PRINT ON DEMAND pp. 220.
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Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors
Book 16 of 16: Particle Acceleration and DetectionLanguage: English
Published by Springer International Publishing, 2021
ISBN 10: 3030657701 ISBN 13: 9783030657703
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Points to existing re-usable softwareProvides numerous examples from running and planned experimentsIncludes a comprehensive and up-to-date list of references for self-study.
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Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors
Book 16 of 16: Particle Acceleration and DetectionLanguage: English
Published by Springer, Springer Feb 2021, 2021
ISBN 10: 3030657701 ISBN 13: 9783030657703
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 224 pp. Englisch.
