Abstract
As astronomical data grows rapidly, cross-matching between huge catalogues that contain millions or billions of celestial objects becomes a hotspot of research. In this paper, we present a parallel cross-match program, which is written in Python language and is able to make full use of multi-core processors. We explain why Python programming language is chosen and how to implement parallel computing with it. A sky splitting function HTM is selected to partition catalogues. The results of experiments prove that our program has a significant performance advantage comparing with previous functions and lays a good foundation for further statistical research and data mining.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: SCIENTIA SINICA Physica, Mechanica & Astronomica
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.