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Astronomical Data Fusion Tool Based on PostgreSQL | | Bo Han
; Yanxia Zhang
; Shoubo Zhong
; Yongheng Zhao
; | | Date: |
5 Sep 2016 | | Abstract: | With the application of advanced astronomical technologies, equipments and
methods all over the world, astronomy covers from radio, infrared, visible
light, ultraviolet, X-ray and gamma ray band, and enters into the era of full
wavelength astronomy. How to effectively integrate data from different ground-
and space-based observation equipments, different observers, different bands,
different observation time, requires the data fusion technology. In this paper
we introduce the cross-match tool that is developed by the Python language and
based on the PostgreSQL database and uses Q3C as the core index, facilitating
the cross-match work of massive astronomical data. It provides four different
cross-match functions, namely: I) cross-match of custom error range; II)
cross-match of catalog error; III) cross-match based on the elliptic error
range; IV) cross-match of the nearest algorithm. The cross-match result set
provides good foundation for subsequent data mining and statistics based on
multiwavelength data. The most advantage of this tool is a user-oriented tool
applied locally by users. By means of this tool, users may easily create their
own databases, manage their own data and cross-match databases according to
their requirements. In addition, this tool is also able to transfer data from
one database into another database. More importantly, the tool is easy to get
started and used by astronomers without writing any code. | | Source: | arXiv, 1609.1079 | | Services: | Forum | Review | PDF | Favorites | |
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