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A new approach to the assessment of stochastic errors of radio source position catalogues

机译:一种评估无线电源位置目录随机误差的新方法

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Assessing the external stochastic errors of radio source position catalogues derived from VLBI observations is important for tasks such as estimating the quality of the catalogues and their weighting during combination. One of the widely used methods to estimate these errors is the three-cornered-hat technique, which can be extended to the N-cornered-hat technique. A critical point of this method is how to properly account for the correlations between the compared catalogues. We present a new approach to solving this problem that is suitable for simultaneous investigations of several catalogues. To compute the correlation between two catalogues A and B, the differences between these catalogues and a third arbitrary catalogue C are computed. Then the correlation between these differences is considered as an estimate of the correlation between catalogues A and B. The average value of these estimates over all catalogues C is taken as a final estimate of the target correlation. In this way, an exhaustive search of all possible combinations allows one to compute the paired correlations between all catalogues. As an additional refinement of the method, we introduce the concept of weighted correlation coefficient. This technique was applied to nine recently published radio source position catalogues. We found large systematic differences between catalogues, that significantly impact determination of their stochastic errors. Finally, we estimated the stochastic errors of the nine catalogues.
机译:评估从VLBI观测得到的无线电源位置目录的外部随机误差对于诸如估算目录质量及其组合权重之类的任务很重要。估计这些误差的一种广泛使用的方法是三角帽技术,可以将其扩展到N角帽技术。该方法的关键是如何正确考虑比较目录之间的相关性。我们提出了一种解决此问题的新方法,适用于同时调查几个目录。为了计算两个目录A和B之间的相关性,计算了这些目录与第三个任意目录C之间的差异。然后,将这些差异之间的相关性视为对目录A和B之间的相关性的估计。将所有目录C上这些估计的平均值作为目标相关性的最终估计。这样,穷举搜索所有可能的组合就可以计算所有目录之间的成对相关性。作为该方法的另一个改进,我们引入了加权相关系数的概念。这项技术已应用于九个最近发布的无线电源位置目录。我们发现目录之间存在较大的系统差异,这极大地影响了其随机误差的确定。最后,我们估计了这9个目录的随机误差。

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