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  • 1
    Online Resource
    Online Resource
    Pattern recognition, tracking and vertex reconstruction in particle detectors (2021)
    Cham, Switzerland : Springer
    Details
    UID:
    b3kat_BV047175156
    Format: 1 Online-Ressource
    ISBN: 9783030657710
    Series Statement: Particle acceleration and detection
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-65770-3
    Language: English
    DOI: 10.1007/978-3-030-65771-0
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
    URL: Buchcover
    URL: lizenzpflichtig
    Author information: Frühwirth, Rudolf 1952-
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Fulltext
    Fulltext
    Fulltext
    UB Potsdam
    EUV Frankfurt
    TH Brandenburg
    HTW Berlin
    FH Potsdam
    BTU Cottbus
  • 2
    Online Resource
    Online Resource
    Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors. (2021)
    Springer Nature | Cham :Springer International Publishing AG,
    Details
    UID:
    almafu_9959782706202883
    Format: 1 online resource (208 pages)
    ISBN: 3-030-65771-X
    Series Statement: Particle Acceleration and Detection
    Content: 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.
    Note: English
    Additional Edition: ISBN 3-030-65770-1
    Language: English
    Keywords: Electronic books.
    URL: Click to View
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    HU Berlin
    FU Berlin
    Charité
  • 3
    Online Resource
    Online Resource
    Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors (2021)
    Cham : Springer
    Details
    UID:
    gbv_1750015366
    Format: 1 Online-Ressource(XVII, 203 Seiten) , Illustrationen
    ISBN: 9783030657710
    Series Statement: Particle Acceleration and Detection
    Content: Part 1. Introduction -- Chapter 1. Tracking Detectors -- Chapter 2. Event Reconstruction -- Chapter 3. Statistics and Numerical Methods -- Part 2. Track Reconstruction -- Chapter 4. Track Models -- Chapter 5. Track Finding -- Chapter 6. Track Fitting -- Part 3. Vertex Reconstruction -- Chapter 7. Vertex Finding -- Chapter 8. Vertex Fitting -- Chapter 9. Secondary Vertex Reconstruction -- Part 4. Case Studies -- Chapter 10. LHC Experiments.
    Content: 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. .
    Additional Edition: ISBN 9783030657703
    Additional Edition: ISBN 9783030657727
    Additional Edition: ISBN 9783030657734
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030657703
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030657727
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030657734
    Language: English
    Keywords: Teilchenbeschleuniger ; Spurdetektor ; Elementarteilchen ; Wechselwirkung ; Mustererkennung
    DOI: 10.1007/978-3-030-65771-0
    URL: kostenfrei
    URL: Cover
    URL: kostenfrei
    Author information: Frühwirth, Rudolf 1952-
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Open Access Request
    Stabi Berlin
    UB Potsdam
  • 4
    Online Resource
    Online Resource
    Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors (2021)
    [Erscheinungsort nicht ermittelbar] : Verlag der Österreichischen Akademie der Wissenschaften
    Details
    UID:
    gbv_1794556397
    Format: 1 Online-Ressource
    ISBN: 9783030657710 , 9783030657703
    Content: 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
    Content: 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
    Note: English
    Language: English
    Keywords: Teilchenbeschleuniger ; Spurdetektor ; Elementarteilchen ; Wechselwirkung ; Mustererkennung
    URL: https://directory.doabooks.org/handle/20.500.12854/78436
    Author information: Frühwirth, Rudolf 1952-
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    UB Potsdam
  • 5
    Online Resource
    Online Resource
    Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors (2021)
    Cham :Springer International Publishing :
    Details
    UID:
    almahu_9948654366802882
    Format: XVII, 203 p. 86 illus., 39 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9783030657710
    Series Statement: Particle Acceleration and Detection,
    Content: 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. .
    Note: Part 1. Introduction -- Chapter 1. Tracking Detectors -- Chapter 2. Event Reconstruction -- Chapter 3. Statistics and Numerical Methods -- Part 2. Track Reconstruction -- Chapter 4. Track Models -- Chapter 5. Track Finding -- Chapter 6. Track Fitting -- Part 3. Vertex Reconstruction -- Chapter 7. Vertex Finding -- Chapter 8. Vertex Fitting -- Chapter 9. Secondary Vertex Reconstruction -- Part 4. Case Studies -- Chapter 10. LHC Experiments.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783030657703
    Additional Edition: Printed edition: ISBN 9783030657727
    Additional Edition: Printed edition: ISBN 9783030657734
    Language: English
    DOI: 10.1007/978-3-030-65771-0
    URL: https://doi.org/10.1007/978-3-030-65771-0
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Open Access Request
    HU Berlin
  • 6
    Online Resource
    Online Resource
    Pattern recognition, tracking and vertex reconstruction in particle detectors / (2021)
    Cham :Springer,
    Details
    UID:
    kobvindex_HPB1240210729
    Format: 1 online resource : , illustrations.
    ISBN: 9783030657710 , 303065771X , 9783030657727 , 3030657728 , 9783030657734 , 3030657736
    Series Statement: Particle acceleration and detection,
    Content: 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. .
    Note: Part 1. Introduction -- Chapter 1. Tracking Detectors -- Chapter 2. Event Reconstruction -- Chapter 3. Statistics and Numerical Methods -- Part 2. Track Reconstruction -- Chapter 4. Track Models -- Chapter 5. Track Finding -- Chapter 6. Track Fitting -- Part 3. Vertex Reconstruction -- Chapter 7. Vertex Finding -- Chapter 8. Vertex Fitting -- Chapter 9. Secondary Vertex Reconstruction -- Part 4. Case Studies -- Chapter 10. LHC Experiments.
    Additional Edition: 3030657701
    Additional Edition: 9783030657703
    Language: English
    Keywords: Electronic books. ; Electronic books.
    DOI: 10.1007/978-3-030-65771-0
    URL: SpringerLink
    URL: Click here to view book
    URL: http://link.springer.com/10.1007/978-3-030-65771-0
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Open Access Request
    HPol Brandenburg
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