Speaker
Description
The Jiangmen Underground Neutrino Observatory (JUNO) is a multi-purpose underground neutrino experiment located in southern China that has recently become operational. JUNO is equipped with 17,612 large 20-inch photomultipliers (LPMTs) in its Central Detector, designed to detect photons using a high-speed, high-resolution waveform digitization technique. To enhance detection capabilities, 25,600 small 3-inch PMTs (SPMTs) are strategically placed in the gaps of the LPMT array. Additionally, 2,400 LPMTs are employed in the surrounding Water Cherenkov detector to identify cosmic ray muons and reduce associated backgrounds. The JUNO Data Acquisition (DAQ) system is designed to handle a data influx of approximately 40 GB/s from all sub-detectors. It processes these streams in real-time, performing online data assembly and event classification to compress throughput to under 500 Mbps, facilitating efficient network transmission and storage.
This presentation will outline the architectural design and technical implementation of the JUNO DAQ system, with a focus on recent advancements during the transition to the operational phase. Noteworthy upgrades include a comprehensive enhancement of the readout system to improve stability and mitigate the effects of short-term high-rate events. Additionally, improvements in dataflow availability address single points of failure, ensuring data integrity and continuous operation. These enhancements have significantly increased system stability and reliability. Insights into these developments and our operational experiences will also be shared.
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