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arXiv 1302.4462astro-ph.IMcs.DB
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LEDDB:LOFAR再电离时代诊断数据库

LEDDB: LOFAR Epoch of Reionization Diagnostic Database

O. Martinez-Rubi, V. K. Veligatla, A. G. de Bruyn, P. Lampropoulos, A. R. Offringa, V. Jelic, S. Yatawatta, L. V. E. Koopmans, S. Zaroubi

摘要:

低频阵列(LOFAR)的关键科学项目之一是探测来自再电离时代(EoR)的宇宙学信号。在这里,我们提出了LOFAR EoR诊断数据库(LEDDB),用于存储,管理,处理和分析的LOFAR EoR观测。它存储从其校准中提取的观测和诊断参数的参考信息。这些存储的数据用于简化管道处理、监控望远镜的性能并可视化诊断参数,这有助于分析几种污染对信号的影响。它使用PostgreSQL实现,并通过psycopg2 python模块访问。我们已经开发了一个非常灵活的查询引擎,它是由一个Web用户界面来访问数据库,并通过其所有的多个维度的诊断参数的可视化的一套非常广泛的工具。

英文摘要:

One of the key science projects of the Low-Frequency Array (LOFAR) is the detection of the cosmological signal coming from the Epoch of Reionization (EoR). Here we present the LOFAR EoR Diagnostic Database (LEDDB) that is used in the storage, management, processing and analysis of the LOFAR EoR observations. It stores referencing information of the observations and diagnostic parameters extracted from their calibration. This stored data is used to ease the pipeline processing, monitor the performance of the telescope and visualize the diagnostic parameters which facilitates the analysis of the several contamination effects on the signals. It is implemented with PostgreSQL and accessed through the psycopg2 python module. We have developed a very flexible query engine, which is used by a web user interface to access the database, and a very extensive set of tools for the visualization of the diagnostic parameters through all their multiple dimensions.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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