A Protocol for Hit and Control Synchronous Transfer for the Front-End Electronics at the CBM Experiment

K. Kasinski , R. Szczygiel , Wojciech Zabołotny , C. Lehnert , C. J. Schmidt , W. F.J. Müller

Abstract

The Silicon Tracking System, Muon Chamber, Transition Radiation Detector and Time-Of-Flight among others are the detector systems of the Compressed Baryonic Matter (CBM) experiment at the FAIR facility. These detector systems will be built with tens of thousands of front-end ASICs exposed to high radiation doses and difficult environmental and interference conditions. A CERN's GBTx-based solution was chosen for combining data from multiple front-end ASICs into an optical link before further concentration and preprocessing in the common Data Processing Board data hub. This paper presents the protocol design addressing the DAQ system requirements, simplifying the ASIC's back-end design and presents its adaptation for the STS and MUCH detector's conditions. A specific link synchronization technique, hit data bandwidth optimization and time synchronization method for the self-triggered front-end chip are presented.
Author K. Kasinski
K. Kasinski,,
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, R. Szczygiel
R. Szczygiel,,
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, Wojciech Zabołotny ISE
Wojciech Zabołotny,,
- The Institute of Electronic Systems
, C. Lehnert
C. Lehnert,,
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, C. J. Schmidt
C. J. Schmidt,,
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, W. F.J. Müller
W. F.J. Müller,,
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Journal seriesNuclear Instruments & Methods in Physics Research Section A Accelerators, Spectrometers, Detectors and Associated Equipment, ISSN 0168-9002
Issue year2016
Vol835
Pages66-73
Publication size in sheets0.5
Keywords in EnglishDetector control systems; Data handling; Data compression; Electronic detector readout concepts
DOIDOI:10.1016/j.nima.2016.08.005
URL http://www.sciencedirect.com/science/article/pii/S016890021630818X
Languageen angielski
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1-s2.0-S016890021630818X-main.pdf 1,017.56 KB
Score (nominal)25
ScoreMinisterial score = 20.0, 27-03-2017, ArticleFromJournal
Ministerial score (2013-2016) = 25.0, 27-03-2017, ArticleFromJournal
Publication indicators WoS Impact Factor: 2016 = 1.362 (2) - 2016=1.211 (5)
Citation count*12 (2018-06-19)
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