JUNO DAQ Readout and Event Building Research

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 for further optimization of the JUNO DAQ data flow framework