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            Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors

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            Author(s)
            Frühwirth, Rudolf
            Strandlie, Are
            Language
            English
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            Abstract
            The book describes methods of track and vertex resonstruction in particle detectors. The main topics are pattern recognition and statistical estimation of geometrical and physical properties of charged particles and of interaction and decay vertices.
             
            as Buch behandelt Methoden der Spur- und Vertexrekonstruktion in Teilchendetektoren. Die Schwerpunkte sind Mustererkennung und Schätzmethoden zur Bestimmung der geometrischen und physikalischen Eigenschaften von geladenen Teilchen und von Wechselwirkungs- und Zerfallspunkten.
             
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/176407
            Keywords
            Mustererkennung, Statistische Schätzmethoden, Spurrekonstruktion, Vertexrekonstruktion; ÖFOS 2012, Teilchenphysik; ÖFOS 2012, Statistik; ÖFOS 2012, Bildverarbeitung; Pattern recognition, statistical estimation, track reconstruction, vertex reconstruction; ÖFOS 2012, Particle physics; ÖFOS 2012, Statistics; ÖFOS 2012, Image processing; thema EDItEUR::P Mathematics and Science::PH Physics::PHP Particle and high-energy physics; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics
            DOI
            10.1007/978-3-030-65771-0
            ISBN
            978-3-030-65770-3, 9783030657710
            Publication date and place
            2021
            Grantor
            • Austrian Science Fund (FWF)
            Imprint
            Springer Nature
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            • logo Investir l'avenirInvestir l'avenir
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            • logo EUEuropean Union
              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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