Progress report on the online processing upgrade at the NA62 experiment

arxiv(2022)

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摘要
A new FPGA-based low-level trigger processor has been installed at the NA62 experiment. It is intended to extend the features of its predecessor due to a faster interconnection technology and additional logic resources available on the new platform. With the aim of improving trigger selectivity and exploring new architectures for complex trigger computation, a GPU system has been developed and a neural network on FPGA is in progress. They both process data streams from the Ring Imaging Cherenkov detector of the experiment to extract in real time high level features for the trigger logic. Description of the systems, latest developments and design flows are reported in this paper.
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关键词
Pattern recognition, cluster finding, calibration and fitting methods, Trigger concepts and systems (hardware and software), Data processing methods, Trigger algorithms
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