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EUTelescope : A modular reconstruction framework for beam telescope data

Bisanz, T. ; Jansen, H. ; Arling, J. H. ; Bulgheroni, A. ; Dreyling-Eschweiler, J. ; Eichhorn, T. ; Gregor, I. M. ; Hamnett, P. ; Kleinwort, C. and Morton, A. , et al. (2020) In Journal of Instrumentation 15(9).
Abstract

EUTelescope is a modular, comprehensive software framework for the reconstruction of particle trajectories recorded with beam telescopes. Its modularity allows for a flexible usage of processors each fulfilling separate tasks of the reconstruction chain such as clustering, alignment and track fitting. The framework facilitates the usage of any position sensitive device for both the beam telescope sensors as well as the device under test and supports a wide range of geometric arrangements of the sensors. In this work, the functionality of the EUTelescope framework as released in v2.2 and its underlying dependencies are discussed. Various use cases with emphasis on the General Broken Lines advanced track fitting methods give examples of... (More)

EUTelescope is a modular, comprehensive software framework for the reconstruction of particle trajectories recorded with beam telescopes. Its modularity allows for a flexible usage of processors each fulfilling separate tasks of the reconstruction chain such as clustering, alignment and track fitting. The framework facilitates the usage of any position sensitive device for both the beam telescope sensors as well as the device under test and supports a wide range of geometric arrangements of the sensors. In this work, the functionality of the EUTelescope framework as released in v2.2 and its underlying dependencies are discussed. Various use cases with emphasis on the General Broken Lines advanced track fitting methods give examples of the work flow and capabilities of the framework.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Particle tracking detectors (Solid-state detectors), Performance of High Energy Physics Detectors, Software architectures (event data models, frameworks and databases)
in
Journal of Instrumentation
volume
15
issue
9
article number
P09020
publisher
IOP Publishing
external identifiers
  • scopus:85091677414
ISSN
1748-0221
DOI
10.1088/1748-0221/15/09/P09020
language
English
LU publication?
yes
id
dbcc411f-e6b6-491a-899d-f79628ab8ce2
date added to LUP
2020-10-27 14:50:43
date last changed
2023-12-04 22:29:19
@article{dbcc411f-e6b6-491a-899d-f79628ab8ce2,
  abstract     = {{<p>EUTelescope is a modular, comprehensive software framework for the reconstruction of particle trajectories recorded with beam telescopes. Its modularity allows for a flexible usage of processors each fulfilling separate tasks of the reconstruction chain such as clustering, alignment and track fitting. The framework facilitates the usage of any position sensitive device for both the beam telescope sensors as well as the device under test and supports a wide range of geometric arrangements of the sensors. In this work, the functionality of the EUTelescope framework as released in v2.2 and its underlying dependencies are discussed. Various use cases with emphasis on the General Broken Lines advanced track fitting methods give examples of the work flow and capabilities of the framework.</p>}},
  author       = {{Bisanz, T. and Jansen, H. and Arling, J. H. and Bulgheroni, A. and Dreyling-Eschweiler, J. and Eichhorn, T. and Gregor, I. M. and Hamnett, P. and Kleinwort, C. and Morton, A. and Perrey, H. and Queitsch-Maitland, M. and Rossi, E. and Spannagel, S.}},
  issn         = {{1748-0221}},
  keywords     = {{Particle tracking detectors (Solid-state detectors); Performance of High Energy Physics Detectors; Software architectures (event data models, frameworks and databases)}},
  language     = {{eng}},
  number       = {{9}},
  publisher    = {{IOP Publishing}},
  series       = {{Journal of Instrumentation}},
  title        = {{EUTelescope : A modular reconstruction framework for beam telescope data}},
  url          = {{http://dx.doi.org/10.1088/1748-0221/15/09/P09020}},
  doi          = {{10.1088/1748-0221/15/09/P09020}},
  volume       = {{15}},
  year         = {{2020}},
}