Paper | Title | Page |
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FRAO05 | High Performance Data Acquisition for a Modern Accelerator | 303 |
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Funding: Argonne National Laboratory’s work was supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, under contract DE-AC02-06CH11357 The modern and state-of-the-art technology provides great potential to acquire accelerator high speed data, and the possibility to fine tune the particle beam. The widely use of embedded controllers, like field-programmable gate arrays (FPGA, enriches the opportunity to collect fast data from accelerator technical subsystem, for example diagnostics and low-level radiofrequency (LLRF) for monitoring, statistics, diagnostics or fault recording of like. A modern embedded controller may contain several gigabytes of memory for such purposes. This presents a number of challenges related to data acquisition and data management to collect, transfer, manage, and utilize a large amount of data from numerous controllers. Currently at APS Upgrade project, a general purpose DAQ system is under active development, which interfaces with a number of technical subsystems to provide time-correlated and synchronously sampled data acquisition for commissioning, performance monitoring, troubleshooting and early fault detection. This paper will present the status and progress of APS-U general purpose DAQ system, and its use cases at APS-U project. |
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Slides FRAO05 [8.519 MB] | |
DOI • | reference for this paper ※ https://doi.org/10.18429/JACoW-IBIC2020-FRAO05 | |
About • | paper received ※ 02 September 2020 paper accepted ※ 31 October 2020 issue date ※ 30 October 2020 | |
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