Software System for Data Acquisition and Analysis Operating the ATLAS-TPX Network
- NázevTitle
- Software System for Data Acquisition and Analysis Operating the ATLAS-TPX NetworkSoftware System for Data Acquisition and Analysis Operating the ATLAS-TPX Network
- Druh výsledkuResult type
- Příspěvek ve sborníkuProceedings paper
- AutořiAuthors
- P. Mánek, J. Begera, B. Bergmann, P. Burian, J. Janeček, Š. Polanský, S. Pospíšil, M. Suk
- DOIDOI
- 10.23919/AE.2017.8053593
- Časopis / citaceJournal / citation
- In: 2017 International Conference on Applied Electronics. Pilsen: University of West Bohemia, 2017. p. 103-106. ISSN 1803-7232. ISBN 978-80-261-0641-8.
- JazykLanguage
- eng
- WoSWoS
- 000427091900021
- ScopusScopus
- 2-s2.0-85034610109
- RIVRIV
- RIV/68407700:21670/17:00320894!RIV18-MSM-21670___
- ProjektProject
- Mezinárodní experiment ATLAS-CERNInternational experiment ATLAS-CERN
AbstraktAbstract
A network of 15 Timepix pixel detectors was installed within the ATLAS experiment at CERN, Geneva. The network is capable of measuring the composition and spectral characteristics of the radiation fields in real-time. Its operation is managed by a dedicated software system. The presented article describes primary software components of this system responsible for communication with detector hardware, online operation monitoring, remote acquisition control, automated data verification and analysis. The processed data can be accessed through an interactive web-based Data Visualization Application, which is available to the scientific community.
A network of 15 Timepix pixel detectors was installed within the ATLAS experiment at CERN, Geneva. The network is capable of measuring the composition and spectral characteristics of the radiation fields in real-time. Its operation is managed by a dedicated software system. The presented article describes primary software components of this system responsible for communication with detector hardware, online operation monitoring, remote acquisition control, automated data verification and analysis. The processed data can be accessed through an interactive web-based Data Visualization Application, which is available to the scientific community.