Efficient Catalog Matching with Dropout Detection

分类： 天文学 >> 天文学 提交时间： 2016-11-15

Dongwei Fan Tam碼s Budav碼ri Alexander S. Szalay Chenzhou Cui Yongheng Zhao

摘要： Not only source catalogs are extracted from astronomy observations. Their sky coverage is always carefully recorded and used in statistical analyses, such as correlation and luminosity function studies. Here we present a novel method for catalog matching, which inherently builds on the coverage information for better performance and completeness. A modified version of the Zones Algorithm is in-troduced for matching partially overlapping observations, where irrelevant parts of the data are excluded up front for efficiency. Our design enables searches to focus on specific areas on the sky to further speed up the process. Another im-portant advantage of the new method over traditional techniques is its ability to quickly detect dropouts, i.e., the missing components that are in the observed regions of the celestial sphere but did not reach the detection limit in some observations. These often provide invaluable insight into the spectral energy dis-tribution of the matched sources but rarely available in traditional associations.

同行评议状态:待评议

 点击量 8592  下载量 1072  评论