海量星表融合系统(XMaS_VO)的设计与开发  

The Design and Development of Large-scale Catalogue Federation System(XMaS_VO)

作　　者：高丹[1] 路勇[1] 张彦霞[1] 赵永恒[1] 

机构地区：[1]中国科学院国家天文台,北京100012

出　　处：《天文研究与技术》2008年第2期137-144,共8页Astronomical Research & Technology

基　　金：国家自然科学基金(90412016;60603057;10778724;10778724)资助项目

摘　　要：将不同波段的星表、特别是巡天项目产生的大型星表进行交叉证认,一直是进行多波段天文学研究,尤其是数据挖掘、统计分析研究的瓶颈。本文开发和实现了一个不依赖于特定数据库的海量星表融合系统(简称为XMaS_VO),用户能够方便地使用此系统的服务进行星表的上传及自动入库、交叉证认等工作。此外,XMaS_VO具备可移植性,如果用户需要进行很大数量的或者大型星表的交叉证认服务,可以自己建立数据库,方便地将此工具移植到自己的服务器上,自己使用或者开放服务给他人。随着该系统的进一步发展和应用,天文学家将可以轻松自如地获得他们需要的多波段融合数据,自由地选取参数和匹配的结果,从而可以更加有效地从事海量数据处理和分析工作。The cross - identification of catalogues from different bands, especially from large survey projects, is the bottleneck for multi -wavelength astronomical research in multi -wavelength, especially for data mining and statistical study. We developed and realized a huge multi -wavelength catalogue federation system （XMaS_VO） independent of special databases. XMaS_VO provides catalogue upload and automation of creating databases as well as cross - identification. Since XMaS_VO has good generalization, users can create own databases, and conveniently transplant this system to the local server or their own computers, so that they may implement XMaS_VO by themselves or open such services to others. With the development and deployment of XMaS_VO, astronomers will easily obtain the multi - wavelength federation data they need, therefore more effectively process and analyze large - scale data avoiding the limits of huge volume of data.

关 键 词：海量星表 数据处理 交叉证认 数据挖掘 

分 类 号：P114[天文地球—天文学]