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n-fold time coincidences on IGEC gravitational wave events data using data-base technology

机译:使用数据库技术对IGEC引力波事件数据进行n倍时间重合

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Gravitational events on IGEC data are marked with their detection time t(d). Although t(d) takes into account phase shifts due to hardware and software, it could be statistically retarded or anticipated by noise with respect to the arrival time t(a) of a gravitational wave. Then we can estimate a time interval Delta for each event so that we can consider the t(a) of the event equally likely in Delta. Consequently we can define a n-fold coincidence as a n-tuple of events whose associated time intervals have a non-empty intersection. Using this definition and taking into account some time interval properties we show that a n-fold coincidence set can be computed by an appropriate selection of events from the 2-fold coincidence sets. Furthermore, we stress that a data base management system (DBMS) is a very effective tool to store IGEC data (i.e. events) and to implement n-fold coincidence analysis based on the above considerations. Finally we propose to use a DBMS to build a database of both events and n-fold coincidence analysis data in order to have an efficient and powerful tool for data retrieval and further analysis. [References: 2]
机译:IGEC数据上的引力事件以其检测时间t(d)标记。尽管t(d)考虑到由于硬件和软件引起的相移,但是它可能在统计上被延迟或相对于重力波到达时间t(a)的噪声所预期。然后,我们可以估计每个事件的时间间隔Delta,以便我们可以将事件的t(a)考虑为Delta。因此,我们可以将n倍重合定义为事件的n元组,​​其关联的时间间隔具有非空交集。使用此定义并考虑到一些时间间隔属性,我们表明可以通过从2倍重合集中适当选择事件来计算n重合集。此外,我们强调,数据库管理系统(DBMS)是一种非常有效的工具,用于存储IGEC数据(即事件),并基于上述考虑进行n次重合分析。最后,我们建议使用DBMS来建立事件和n倍重合分析数据的数据库,以便为数据检索和进一步分析提供有效而强大的工具。 [参考:2]

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