论文标题
无线电源的最佳概率目录匹配
Optimal Probabilistic Catalogue Matching for Radio Sources
论文作者
论文摘要
从无线电调查到其他波长的源目录的交叉匹配目录非常困难，因为无线电源通常是扩展的，通常由几个空间分离的组件组成，并且通常没有无线电组件与光学/红外宿主星系相吻合。传统上，交叉匹配是通过眼睛完成的，但这并不能扩展到下一代无线电调查预期的数百万无线电来源。我们使用贝叶斯假设检验提出了一种创新的自动化程序，该程序对宿主星系的假定位置进行了试验的无线电形态。这种新的算法通过允许更复杂的无线电源形态并在大型字段上同时进行拟合，这与早期版本不同。我们表明，该技术在无监督模式下的性能很好。
Cross-matching catalogues from radio surveys to catalogues of sources at other wavelengths is extremely hard, because radio sources are often extended, often consist of several spatially separated components, and often no radio component is coincident with the optical/infrared host galaxy. Traditionally, the cross-matching is done by eye, but this does not scale to the millions of radio sources expected from the next generation of radio surveys. We present an innovative automated procedure, using Bayesian hypothesis testing, that models trial radio-source morphologies with putative positions of the host galaxy. This new algorithm differs from an earlier version by allowing more complex radio source morphologies, and performing a simultaneous fit over a large field. We show that this technique performs well in an unsupervised mode.
