JUNO DAQ Readout and Event Building Research
Tingxuan Zeng, Fei Li, Kejun Zhu

TL;DR
This paper proposes a distributed network readout and second-level event building schema for the JUNO neutrino experiment's data acquisition system, analyzing performance to guide optimization.
Contribution
It introduces a novel data flow schema for JUNO DAQ, focusing on distributed readout and event building performance analysis.
Findings
Performance of readout and event building modules evaluated
Optimal number of readout processes per node identified
Framework provides a basis for further system optimization
Abstract
The Jiangmen Underground Neutrino Observatory(JUNO) experiment will develop an internationally leading neutrino experimental station to measure the order of neutrino mass and carry out many other scientific frontier studies. The entire experimental system includes the detector system, the electronics system, and the data acquisition (DAQ) system. Data flow is the core of JUNO DAQ system. Readout system and Event Building (EB) system are two key aspects of data flow. Based on the requirements analysis of JUNO DAQ, this paper proposes a data flow schema of distributed network readout and second-level event building. Focusing on the performance requirements of JUNO DAQ, the performance of the readout and event building module, the number of readout processes deployed on each node, and integration performance of the two modules are studied. The results of the research provide a reference…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
