Accelerated Deep Reinforcement Learning for Fast Feedback of Beam Dynamics at KARA

Wang, Weija; Caselle, M.; Boltz, Tobias; Blomley, Edmund; Brosi, Miriam; Dritschler, T.; Ebersoldt, A.; Kopmann, A.; García, Andrea Santamaría; Schreiber, Patrick; Bründermann, Erik; Weber, M.; Müller, Anke-Susanne; Fang, Yangwang

doi:10.1109/tns.2021.3084515

Cited by 4 publications

(1 citation statement)

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“…29 Recent years have seen an ever increasing demand of high-performance advanced diagnostic instrumentation coupled to real-time data processing based on artificial intelligent deployed on programmable devices. 30 KAPTURE is very efficient in the direct sampling of ultra-short pulse signals with Full Width at Half Maximum (FWHM) with less than 100 ps. However it is unable to acquire PTS signals with a time duration only up to several nanoseconds.…”

Section: Digitizer Architecture For Photonic Time-stretchmentioning

confidence: 99%

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

Caselle

Bielawski²,

Manzhura³

et al. 2022

Real-Time Measurements, Rogue Phenomena, and Single-Shot Applications VII

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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 understand 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 proposed data acquisition system is based on the latest ZYNQ Radio Frequency System on Chip (ZYNQ-RF SoC) 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. The stretched pulse is sampled in parallel by 16 wideband sampling channels operating in time-interleaving mode. The sampled data is transferred by a 100 Gb Ethernet data link to the Data Acquisition (DAQ) compute node for further analysis. The combination of both, the photonic time-stretch and the fast sampling system, is capable of sampling short pulses with femtosecond time resolution. Applications of the new system, hardware implementation and the commissioning of the first system for the electron bunch diagnostics are presented.

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Section: Digitizer Architecture For Photonic Time-stretchmentioning

confidence: 99%