Farming data for the HyperCP experiment

被引:0
|
作者
Bodem, S [1 ]
Jones, T [1 ]
Zyla, P [1 ]
Holmstrom, T [1 ]
Lu, LC [1 ]
Rajaram, D [1 ]
Rubin, HA [1 ]
机构
[1] Lawrence Berkeley Lab, Berkeley, CA USA
来源
关键词
hyperCP(E871); Fermilab; CP violation; farm; web-based;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The main goal of the HyperCP(E871) experiment at Fermilab is to search for CP violation in Xi and Lambda decays at the similar to 10(-4) level. This level of precision dictates a data sample of over a billion events. The experiment collected about 231 billion raw events on about 30,000 5-GB tapes in ten months of running in 1997 and 1999. In order to analyze this huge amount of data, the collaboration has reconstructed the events on a farm of 55 dual-processor Linux-based PCs at Fermilab. A set of farm tools has been written by the collaboration to interface with the Farm Batch System (FBS and FBSNG)[1] developed by the Fermilab Computing Division, to automate much of the farming and to allow nonexpert farm shifters to submit and monitor jobs through a web-based interface, Special care has been taken to produce a robust system which facilitates easy recovery from errors. The code has provisions for extensive monitoring of the data on a spill-by-spill basis, as is required by the need to minimize potential systematic errors, About 36 million plots of various parameters produced from the farm analysis can be accessed through a data management system. The entire data set was farmed in eleven months, or about the same time that was taken to acquire the data. We will describe the architecture of the farm, our experience in operating it, and show some results from the farm analysis.
引用
收藏
页码:266 / 271
页数:2
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