The Online Data Quality Monitoring System at BESIII
Xiao-Dong Sun, Ji-Feng Hu, Hai-Sheng Zhao, Xiao-Bin Ji, Yi-Fang Wang,, Yang-Heng Zheng, Bei-Jiang Liu
TL;DR
The paper describes the BESIII online Data Quality Monitoring system, which samples, reconstructs, analyzes, and displays data in real-time to assist in early problem detection during data taking.
Contribution
It introduces a scalable distributed DQM system with automated analysis and versatile data visualization for real-time quality monitoring in high-energy physics experiments.
Findings
Effective real-time data quality monitoring at BESIII
Automated analysis improves problem detection
Scalable system supports high data throughput
Abstract
The online Data Quality Monitoring (DQM) plays an important role in the data taking process of HEP experiments. BESIII DQM samples data from online data flow, reconstructs them with offline reconstruction software, and automatically analyzes the reconstructed data with user-defined algorithms. The DQM software is a scalable distributed system. The monitored results are gathered and displayed in various formats, which provides the shifter with current run information that can be used to find problems early. This paper gives an overview of DQM system at BESIII.
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