Onsite data processing and monitoring for the Daya Bay experiment

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.     

高能物理实验的离线计算

正高能物理研究组成物质的基本粒子及其相互作用规律,是物理学研究中的最前沿。当今,高能物理实验规模一般都很大,需要成百上千的科学家参加。高能物理实验的周期比较长,从实验设计到目标的实现通常会经历十几年甚至几十年的时间。实验产生的海量实验数据,需要借助先进的计算机技术来处理和分析,实验的需求也助推了计算机信息技术的不断发展。近年来,我国物理学家在以我为主的高能物理实验中取得了令人瞩目的成绩,其中包括北京正负电子对撞     

疲劳剩余强度的可靠性研究

利用断裂力学，疲劳和可靠性分析方法，对疲劳过程中的剩余强度进行了研究，．通过七组试样的试验，得到了发动机连杆材料１８ＣｒＮｉＷＡ钢的Ｐ Ｒ Ｓ Ｎ曲线（即失效概率 剩余强度 疲劳应力 循环寿命曲线）．本文的分析方法对其他承受疲劳载荷的零部件和材料，具有重要的推广应用价值．