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Terabit sampling system with photonic time-stretch analog-to-digital converter

Caselle, Michele; Bielawski, Serge; Manzhura, Olena; Chilingaryan, Suren; Dritschler, Timo; Ebersoldt, Andreas; Kopmann, Andreas ORCID iD icon 1; Nasse, Michael J.; Patil, Meghana ORCID iD icon; Bründermann, Erik ORCID iD icon; Roussel, Eléonore; Szwaj, Christophe; Mueller, Anke-Susanne ORCID iD icon; Herink, Georg [Hrsg.]; Solli, Daniel R. [Hrsg.]; Bielawski, Serge [Hrsg.]
1 Institut für Prozessdatenverarbeitung und Elektronik (IPE), Karlsruher Institut für Technologie (KIT)

Abstract:

The detection of rapid dynamics in diverse physical systems is traditionally very difficult and strongly dominated by several noise contributions. Laser mode-locking, electron bunches in accelerators and optical-triggered phases in materials are events that carry important information about the system from which they emerge. To under- stand the underlying dynamics of complex systems often large numbers of single-shot measurements must be acquired continuously over a long time with extremely high temporal resolution. Ultrafast real-time instruments allow the acquisition of large data sets, even for rare events, in a relatively short time period. The real-time measurement of fast single-shot events with large record lengths is one of the most challenging problems in the fields of instrumentation and measurement. In this contribution, the novel ultra-fast and continuous data sampling system THERESA using photonic time-stretch is presented and its performance is discussed. The pro- posed data acquisition system is based on the latest ZYNQ Radio Frequency System on Chip (ZYNQ-RFSoC) family from Xilinx, which combines an array of fast (GS/s) multi-channel Analog-to-Digital Converters (ADCs) with a Field Programmable Gate Array (FPGA) and a multi-core ARM processor in a single heterogeneous programmable device. ... mehr


Postprint §
DOI: 10.5445/IR/1000143870
Veröffentlicht am 05.03.2023
Originalveröffentlichung
DOI: 10.1117/12.2607818
Dimensions
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Prozessdatenverarbeitung und Elektronik (IPE)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 04.03.2022
Sprache Englisch
Identifikator ISBN: 978-1-5106-4844-9
ISSN: 11671
KITopen-ID: 1000143870
HGF-Programm 54.12.03 (POF IV, LK 01) Science Systems
Erschienen in Real-Time Measurements, Rogue Phenomena, and Single-Shot Applications VI : 6-11 March 2022, online. Eds.: Daniel R. Solli; Georg Herink; Serge Bielawski
Veranstaltung 7th Real-Time Measurements, Rogue Phenomena, and Single-Shot Applications (2021), Online, 06.03.2021 – 11.03.2021
Verlag SPIE
Seiten 9
Serie Proceedings of SPIE ; 11671
Nachgewiesen in Dimensions
Scopus
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