Onsite data processing and monitoring for the Daya Bay experiment
Onsite data processing and monitoring for the Daya Bay experiment
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DOI：
10.1088/1674-1137/38/8/086001
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发表时间：
2014-06
影响因子：
3.6
通讯作者：
Yingying Liu;M. He;Beijiang Liu;M. Wang;Q. Ma;Fan Qi;Shan Zeng
中科院分区：
文献类型：
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作者：
Yingying Liu;M. He;Beijiang Liu;M. Wang;Q. Ma;Fan Qi;Shan Zeng
大亚湾反应堆中微子实验于2011年9月23日开始运行。离线计算环境由大亚湾的11台服务器组成，用于处理现场数据。以目前的计算能力，现场数据处理运行顺利。性能质量监控系统 (PQM) 旨在监控探测器性能和数据质量。其主要特点是能够高效处理来自三个实验大厅的多个数据流。 PQM处理来自大亚湾数据采集系统的原始数据文件，通过执行用户定义的算法模块，通过图形Web界面生成和发布直方图，并将直方图保存为永久存储。整个过程仅需40分钟左右，这对于值班人员监控所有子探测器的运行状态和数据质量非常有价值。
The Daya Bay Reactor Neutrino Experiment started running on September 23, 2011. The offline computing environment, consisting of 11 servers at Daya Bay, was built to process onsite data. With the current computing ability, onsite data processing is running smoothly. The Performance Quality Monitoring system (PQM) has been developed to monitor the detector performance and data quality. Its main feature is the ability to efficiently process multiple data streams from the three experimental halls. The PQM processes raw data files from the Daya Bay data acquisition system, generates and publishes histograms via a graphical web interface by executing the user-defined algorithm modules, and saves the histograms for permanent storage. The fact that the whole process takes only around 40 minutes makes it valuable for the shift crew to monitor the running status of all the sub-detectors and the data quality.