Onsite data processing and monitoring for the Daya Bay experiment

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LIU Ying-Biao, HE Miao, LIU Bei-Jiang, WANG Meng, MA Qiu-Mei, QI Fa-Zhi and ZENG Shan. Onsite data processing and monitoring for the Daya Bay experiment[J]. Chinese Physics C, 2014, 38(8): 086001. doi: 10.1088/1674-1137/38/8/086001
LIU Ying-Biao, HE Miao, LIU Bei-Jiang, WANG Meng, MA Qiu-Mei, QI Fa-Zhi and ZENG Shan. Onsite data processing and monitoring for the Daya Bay experiment[J]. Chinese Physics C, 2014, 38(8): 086001.  doi: 10.1088/1674-1137/38/8/086001 shu
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Received: 2013-09-11
Revised: 2013-09-27
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Onsite data processing and monitoring for the Daya Bay experiment

    Corresponding author: LIU Ying-Biao,
    Corresponding author: HE Miao,

Abstract: 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.

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